diff --git a/APMO/md/en-apmo2025_sol.md b/APMO/md/en-apmo2025_sol.md index 49a6a55ade87f90d80cb66cfe55afff85d3b5654..1174d96b48d5a4640a11ad627dd5d0cc3fe25674 100644 --- a/APMO/md/en-apmo2025_sol.md +++ b/APMO/md/en-apmo2025_sol.md @@ -9,7 +9,7 @@ Answer: No. First notice that, since angles \(\angle A A_{1}B_{1}\) and \(\angle A A_{1}C_{1}\) are both right, the points \(B_{1}\) and \(C_{1}\) lie on the circle with \(A A_{1}\) as a diameter. Therefore, \(A C_{1} = A A_{1}\sin \angle A A_{1}C_{1} = A A_{1}\sin (90^{\circ}-\) \(\angle A_{1}A C) = A A_{1}\sin \angle C\) , similarly \(A B_{1} = A A_{1}\sin \angle B\) , and \(B_{1}C_{1} = A A_{1}\sin \angle A\) . Hence; triangles \(A C_{1}B_{1}\) and \(A B C\) are similar. -![](data:image/jpeg;base64,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) +![md5:7df71c9e3d7cdb9412f6f7281a1563e8](7df71c9e3d7cdb9412f6f7281a1563e8.jpeg) Let \(O\) be the circumcenter of \(A B C\) and \(A D\) be one of its diameters. Since \(\angle O A C = \frac{1}{2} (180^{\circ}-\) \(\angle A O C) = 90^{\circ} - \angle B = 90^{\circ} - \angle A C_{1}B_{1}\) , it follows that \(A D\) is perpendicular to \(B_{1}C_{1}\) . Let \(A D = 2R\) ; recall that, from the law of sines, \(\frac{B C}{\sin\angle A} = 2R\iff B C = 2R\sin \angle A\) . The area of quadrilateral \(A B_{1}D C_{1}\) is diff --git a/APMO/segmented/en-apmo2025_sol.jsonl b/APMO/segmented/en-apmo2025_sol.jsonl index 4fa29fba02d68e16c375c01d691ef8fc8bbf761f..412eeaf3c7e51364e24eab2e8f3842fe2069450f 100644 --- a/APMO/segmented/en-apmo2025_sol.jsonl +++ b/APMO/segmented/en-apmo2025_sol.jsonl @@ -1,4 +1,4 @@ -{"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "APMO", "problem": "Let \\(A B C\\) be an acute triangle inscribed in a circle \\(\\Gamma\\) . Let \\(A_{1}\\) be the orthogonal projection of \\(A\\) onto \\(B C\\) so that \\(A A_{1}\\) is an altitude. Let \\(B_{1}\\) and \\(C_{1}\\) be the orthogonal projections of \\(A_{1}\\) onto \\(A B\\) and \\(A C\\) , respectively. Point \\(P\\) is such that quadrilateral \\(A B_{1}P C_{1}\\) is convex and has the same area as triangle \\(A B C\\) . Is it possible that \\(P\\) strictly lies in the interior of circle \\(\\Gamma\\) ? Justify your answer. \n\nAnswer: No.", "solution": "First notice that, since angles \\(\\angle A A_{1}B_{1}\\) and \\(\\angle A A_{1}C_{1}\\) are both right, the points \\(B_{1}\\) and \\(C_{1}\\) lie on the circle with \\(A A_{1}\\) as a diameter. Therefore, \\(A C_{1} = A A_{1}\\sin \\angle A A_{1}C_{1} = A A_{1}\\sin (90^{\\circ}-\\) \\(\\angle A_{1}A C) = A A_{1}\\sin \\angle C\\) , similarly \\(A B_{1} = A A_{1}\\sin \\angle B\\) , and \\(B_{1}C_{1} = A A_{1}\\sin \\angle A\\) . Hence; triangles \\(A C_{1}B_{1}\\) and \\(A B C\\) are similar. \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(O\\) be the circumcenter of \\(A B C\\) and \\(A D\\) be one of its diameters. Since \\(\\angle O A C = \\frac{1}{2} (180^{\\circ}-\\) \\(\\angle A O C) = 90^{\\circ} - \\angle B = 90^{\\circ} - \\angle A C_{1}B_{1}\\) , it follows that \\(A D\\) is perpendicular to \\(B_{1}C_{1}\\) . Let \\(A D = 2R\\) ; recall that, from the law of sines, \\(\\frac{B C}{\\sin\\angle A} = 2R\\iff B C = 2R\\sin \\angle A\\) . The area of quadrilateral \\(A B_{1}D C_{1}\\) is \n\n\\[\\frac{B_{1}C_{1}\\cdot A D}{2} = \\frac{A A_{1}\\sin\\angle A\\cdot 2R}{2} = \\frac{A A_{1}\\cdot B C}{2},\\] \n\nwhich is indeed the area of \\(A B C\\) . \n\nSince \\(B_{1}\\) and \\(C_{1}\\) are fixed points, the loci of the points \\(P\\) such that \\(A B_{1}P C_{1}\\) is a convex quadrilateral with the same area as \\(A B C\\) is a line parallel to \\(B_{1}C_{1}\\) . That is, perpendicular to \\(A D\\) . Since the area of \\(A B_{1}D C_{1}\\) is the same as the area of \\(A B C\\) , this locus is the line perpendicular to \\(A D\\) through \\(D\\) , which is tangent to the circumcircle of \\(A B C\\) . Therefore, it is not possible that the point \\(P\\) lies inside the circumcircle of \\(A B C\\) .", "metadata": {"resource_path": "APMO/segmented/en-apmo2025_sol.jsonl", "problem_match": "# Problem 1 ", "solution_match": "# Solution \n\n"}} +{"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "APMO", "problem": "Let \\(A B C\\) be an acute triangle inscribed in a circle \\(\\Gamma\\) . Let \\(A_{1}\\) be the orthogonal projection of \\(A\\) onto \\(B C\\) so that \\(A A_{1}\\) is an altitude. Let \\(B_{1}\\) and \\(C_{1}\\) be the orthogonal projections of \\(A_{1}\\) onto \\(A B\\) and \\(A C\\) , respectively. Point \\(P\\) is such that quadrilateral \\(A B_{1}P C_{1}\\) is convex and has the same area as triangle \\(A B C\\) . Is it possible that \\(P\\) strictly lies in the interior of circle \\(\\Gamma\\) ? Justify your answer. \n\nAnswer: No.", "solution": "First notice that, since angles \\(\\angle A A_{1}B_{1}\\) and \\(\\angle A A_{1}C_{1}\\) are both right, the points \\(B_{1}\\) and \\(C_{1}\\) lie on the circle with \\(A A_{1}\\) as a diameter. Therefore, \\(A C_{1} = A A_{1}\\sin \\angle A A_{1}C_{1} = A A_{1}\\sin (90^{\\circ}-\\) \\(\\angle A_{1}A C) = A A_{1}\\sin \\angle C\\) , similarly \\(A B_{1} = A A_{1}\\sin \\angle B\\) , and \\(B_{1}C_{1} = A A_{1}\\sin \\angle A\\) . Hence; triangles \\(A C_{1}B_{1}\\) and \\(A B C\\) are similar. \n\n![md5:7df71c9e3d7cdb9412f6f7281a1563e8](7df71c9e3d7cdb9412f6f7281a1563e8.jpeg)\n \n\nLet \\(O\\) be the circumcenter of \\(A B C\\) and \\(A D\\) be one of its diameters. Since \\(\\angle O A C = \\frac{1}{2} (180^{\\circ}-\\) \\(\\angle A O C) = 90^{\\circ} - \\angle B = 90^{\\circ} - \\angle A C_{1}B_{1}\\) , it follows that \\(A D\\) is perpendicular to \\(B_{1}C_{1}\\) . Let \\(A D = 2R\\) ; recall that, from the law of sines, \\(\\frac{B C}{\\sin\\angle A} = 2R\\iff B C = 2R\\sin \\angle A\\) . The area of quadrilateral \\(A B_{1}D C_{1}\\) is \n\n\\[\\frac{B_{1}C_{1}\\cdot A D}{2} = \\frac{A A_{1}\\sin\\angle A\\cdot 2R}{2} = \\frac{A A_{1}\\cdot B C}{2},\\] \n\nwhich is indeed the area of \\(A B C\\) . \n\nSince \\(B_{1}\\) and \\(C_{1}\\) are fixed points, the loci of the points \\(P\\) such that \\(A B_{1}P C_{1}\\) is a convex quadrilateral with the same area as \\(A B C\\) is a line parallel to \\(B_{1}C_{1}\\) . That is, perpendicular to \\(A D\\) . Since the area of \\(A B_{1}D C_{1}\\) is the same as the area of \\(A B C\\) , this locus is the line perpendicular to \\(A D\\) through \\(D\\) , which is tangent to the circumcircle of \\(A B C\\) . Therefore, it is not possible that the point \\(P\\) lies inside the circumcircle of \\(A B C\\) .", "metadata": {"resource_path": "APMO/segmented/en-apmo2025_sol.jsonl", "problem_match": "# Problem 1 ", "solution_match": "# Solution \n\n"}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "APMO", "problem": "Let \\(\\alpha\\) and \\(\\beta\\) be positive real numbers. Emerald makes a trip in the coordinate plane, starting off from the origin \\((0,0)\\) . Each minute she moves one unit up or one unit to the right, restricting herself to the region \\(|x - y|< 2025\\) , in the coordinate plane. By the time she visits a point \\((x,y)\\) she writes down the integer \\(\\lfloor x\\alpha +y\\beta \\rfloor\\) on it. It turns out that Emerald wrote each non- negative integer exactly once. Find all the possible pairs \\((\\alpha ,\\beta)\\) for which such a trip would be possible. \n\nAnswer: \\((\\alpha ,\\beta)\\) such that \\(\\alpha +\\beta = 2\\)", "solution": "Let \\((x_{n},y_{n})\\) be the point that Emerald visits after \\(n\\) minutes. Then \\((x_{n + 1},y_{n + 1})\\in \\{(x_{n}+\\) \\(1,y_{n}),(x_{n},y_{n} + 1)\\}\\) . Either way, \\(x_{n + 1} + y_{n + 1} = x_{n} + y_{n} + 1\\) , and since \\(x_{0} + y_{0} = 0 + 0 = 0\\) \\(x_{n} + y_{n} = n\\) \n\nThe \\(n\\) - th number would be then \n\n\\[z_{n} = \\lfloor x_{n}\\alpha +(n - x_{n})\\beta \\rfloor \\Longrightarrow n\\beta +x_{n}(\\alpha -\\beta) - 1< z_{n}< n\\beta +x_{n}(\\alpha -\\beta),\\] \n\nin which \n\n\\[-2025< x_{n} - y_{n}< 2025\\iff \\frac{n - 2025}{2} < x_{n}< \\frac{n + 2025}{2}.\\] \n\nSuppose without loss of generality that \\(\\alpha \\geq \\beta\\) . Then \n\n\\[n\\beta +\\frac{n - 2025}{2} (\\alpha -\\beta) - 1< z_{n}< n\\beta +\\frac{n + 2025}{2} (\\alpha -\\beta),\\] \n\nwhich reduces to \n\n\\[\\left|z_{n} - \\frac{\\alpha + \\beta}{2} n\\right|< \\frac{2025}{2} (\\alpha -\\beta) + 1.\\] \n\nOn the other hand, \\(z_{n + 1} = \\lfloor x_{n + 1}\\alpha +y_{n + 1}\\beta \\rfloor \\in \\{\\lfloor x_{n}\\alpha +y_{n}\\beta +\\alpha \\rfloor ,\\lfloor x_{n}\\alpha +y_{n}\\beta +\\beta \\rfloor \\}\\) , which implies \\(z_{n + 1}\\geq z_{n}\\) . Since every non- negative integer appears exactly once, in increasing order, it follows that \\(z_{n} = n\\) . \n\nTherefore, for all positive integers \\(n\\) \n\n\\[\\left|n - \\frac{\\alpha + \\beta}{2} n\\right|< \\frac{2025}{2} (\\alpha -\\beta) + 1,\\] \n\nwhich can only be possible if \\(\\alpha +\\beta = 2\\) ; otherwise, the left hand side would be unbounded. If \\(\\alpha +\\beta = 2\\) , consider \\(x_{n} = \\left\\lfloor \\frac{n}{2}\\right\\rfloor\\) and \\(y_{n} = \\left\\lfloor \\frac{n}{2}\\right\\rfloor\\) . If \\(n\\) is even, \n\n\\[z_{n} = \\left\\lfloor \\frac{n}{2}\\alpha +\\frac{n}{2}\\beta \\right\\rfloor = n;\\] \n\nif \\(n\\) is odd, \n\n\\[z_{n} = \\left\\lfloor \\frac{n + 1}{2}\\alpha +\\frac{n - 1}{2}\\beta \\right\\rfloor = n + \\left\\lfloor \\frac{\\alpha - \\beta}{2}\\right\\rfloor ,\\] \n\nwhich equals \\(n\\) because \\(0< \\beta \\leq \\alpha < \\alpha +\\beta = 2\\Longrightarrow 0\\leq \\alpha -\\beta < 2\\)", "metadata": {"resource_path": "APMO/segmented/en-apmo2025_sol.jsonl", "problem_match": "# Problem 2 ", "solution_match": "# Solution \n\n"}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "APMO", "problem": "Let \\(P(x)\\) be a non- constant polynomial with integer coefficients such that \\(P(0) \\neq 0\\) . Let \\(a_{1}, a_{2}, a_{3}, \\ldots\\) be an infinite sequence of integers such that \\(P(i - j)\\) divides \\(a_{i} - a_{j}\\) for all distinct positive integers \\(i, j\\) . Prove that the sequence \\(a_{1}, a_{2}, a_{3}, \\ldots\\) must be constant, that is, \\(a_{n}\\) equals a constant \\(c\\) for all \\(n\\) positive integer.", "solution": "Let \\(a_{0} = P(0) \\neq 0\\) be the independent coefficient, i.e., the constant term of \\(P(x)\\) . Then there are infinitely many primes \\(p\\) such that \\(p\\) divides \\(P(k)\\) but \\(p\\) does not divide \\(k\\) . In fact, since \\(P(k) - a_{0}\\) is a multiple of \\(k\\) , \\(\\gcd (P(k), k) = \\gcd (k, a_{0}) \\leq a_{0}\\) is bounded, so pick, say, \\(k\\) with prime factors each larger than \\(a_{0}\\) . \n\nSince \\(P(k)\\) divides \\(a_{i + k} - a_{i}\\) , \\(p\\) divides \\(a_{i + k} - a_{i}\\) . Moreover, since \\(P(k + p) \\equiv P(k) \\equiv 0\\) (mod \\(p\\) ), \\(p\\) also divides \\(a_{i + k + p} - a_{i}\\) . Therefore, \\(a_{i}\\) mod \\(p\\) is periodic with periods \\(k + p\\) and \\(k\\) . By Bezout's theorem, \\(\\gcd (k + p, k) = 1\\) is also a period, that is, \\(p\\) divides \\(a_{i + 1} - a_{i}\\) for all \\(i\\) and \\(p\\) such that \\(p \\mid P(k)\\) and \\(p \\nmid k\\) for some \\(k\\) . Since there are infinitely many such primes \\(p\\) , \\(a_{i + 1} - a_{i}\\) is divisible by infinitely many primes, which implies \\(a_{i + 1} = a_{i}\\) , that is, the sequence is constant.", "metadata": {"resource_path": "APMO/segmented/en-apmo2025_sol.jsonl", "problem_match": "# Problem 3 ", "solution_match": "# Solution \n\n"}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "APMO", "problem": "Let \\(n \\geq 3\\) be an integer. There are \\(n\\) cells on a circle, and each cell is assigned either 0 or 1. There is a rooster on one of these cells, and it repeats the following operations: \n\nIf the rooster is on a cell assigned 0, it changes the assigned number to 1 and moves to the next cell counterclockwise. If the rooster is on a cell assigned 1, it changes the assigned number to 0 and moves to the cell after the next cell counterclockwise. \n\nProve that the following statement holds true after sufficiently many operations: \n\nIf the rooster is on a cell \\(C\\) , then the rooster would go around the circle exactly three times, stopping again at \\(C\\) . Moreover, every cell would be assigned the same number as it was assigned right before the rooster went around the circle 3 times.", "solution": "Reformulate the problem as a \\(n\\) - string of numbers in \\(\\{0,1\\}\\) and a position at which the action described in the problem is performed, and add 1 or 2 modulo \\(n\\) to the position according to the action. Say that a lap is complete for each time the position resets to 0 or 1. We will prove that the statement claim holds after at most two laps, after which the \\(n\\) - tuple cycles every three laps. \n\nSay the rooster stops at a position in a certain lap if it performs an action at that position on that lap; otherwise, the rooster bypasses that position. We start with some immediate claims: \n\nThe rooster has to stop at at least one of each two consecutive positions. The rooster stops at every position preceded by a 0. Indeed, if the numbers preceding that position are 00 then the rooster will definitely stop at the second zero, and it the numbers preceding that position are 10 then the rooster will either stop at 1 and go directly to the position or bypass 1 and stop at the second zero, and then stop at the position. Therefore, if the rooster bypasses a position, then it is preceded by a 1, and that 1 must be changed to a 0. This means that the rooster never bypasses a position in two consecutive laps. The rooster bypasses every position preceded by 01. Indeed, the rooster stops at either 1 or at 0, after which it will move to 1; at any rate, it stops at 1 and bypasses the position. \n\nOur goal is to prove that, eventually, for every three consecutive laps, each position is bypassed exactly once. Then each position changes states exactly twice, so it gets back to its initial state after three laps. The following two lemmata achieve this goal: \n\nLemma 1. If the rooster stops at a certain position in two laps in a row, it bypasses it on the next lap, except for the \\(n\\) - string \\(1010\\ldots 10\\) , for which the problem statement holds. \n\nProof. If the rooster stopped at a position in lap \\(t\\) , then it is preceded by either (A) a 0 that was changed to 1, (B) a 11 that was changed to 01, or (C) a 10 in which the rooster stopped at 1. In case (A), the position must be preceded by 11 in the lap \\(t + 1\\) , which becomes 01, so the rooster will bypass the position in the lap \\(t + 2\\) . In case (B), the position will be bypassed in lap \\(t + 1\\) . \n\nNow we deal with case (C): suppose that the position was preceded by \\(m\\) occurrences of 10, that is, \\((10)^{m}\\) , on lap \\(t\\) and take \\(m \\leq \\frac{n}{2}\\) maximal. The rooster stopped at the 1 from each occurrence of 10, except possibly the first one.\n\n\n\nFirst, suppose that \\(n \\geq 2m + 2\\) . After lap \\(t\\) , \\((10)^{m}\\) becomes either \\((00)^{m}\\) or \\(11(00)^{m - 1}\\) in lap \\(t + 1\\) . In the latter case, initially we had \\(1(10)^{m}\\) , which became \\(011(00)^{m - 1}\\) . It will then become \\(a01(11)^{m - 1}\\) in lap \\(t + 2\\) , in which the rooster will bypass the position. In the former case, \\((10)^{m}\\) becomes \\((00)^{m}\\) , so it was either \\(00(10)^{m}\\) or \\(11(10)^{m}\\) in lap \\(t\\) , which becomes respectively \\(a1(00)^{m}\\) and \\(01(00)^{m}\\) in lap \\(t + 1\\) , respectively. In the second sub- case, it becomes \\(b001(11)^{m - 1}\\) in lap \\(t + 2\\) , and the position will be bypassed. In the first sub- case, it must be \\(11(00)^{m}\\) after which it becomes either \\(01(11)^{m}\\) or \\(1001(11)^{m - 1}\\) . In any case, the position will be bypassed in lap \\(t + 2\\) . If \\(n = 2m + 1\\) , the possible configurations are \n\n\\[(10)^{m}0\\rightarrow (00)^{m}1\\rightarrow (11)^{m}0\\rightarrow (10)^{m}0,\\] \n\nthe rooster stops at the 1 from the first 10 because it was preceded by a 0. \n\n\\[(10)^{m}1\\rightarrow (00)^{m}0\\rightarrow 0(11)^{m}\\rightarrow 1(01)^{m},\\] \n\nor \n\n\\[(10)^{m}1\\rightarrow 11(00)^{m - 1}0\\rightarrow 01(11)^{m - 1}1\\rightarrow (10)^{m}1,\\] \n\nIn any case, the position is bypassed in lap \\(t + 2\\) . \n\nIf \\(n = 2m\\) , the entire configuration is \\((10)^{m}\\) , \\(m \\geq 2\\) . If the rooster did not stop at the first 1, it becomes \\(11(00)^{m - 1}\\) in the lap \\(t + 1\\) , then \\(01(11)^{m - 1}\\) in the lap \\(t + 2\\) , so the position is bypassed in this last lap. If the rooster stopped at the first 1, it becomes \\((00)^{m}\\) , then \\((11)^{m}\\) , then \\((01)^{m}\\) , then \\(10(00)^{m - 1}\\) , then \\((11)^{m}\\) , and then it cycles between \\((11)^{m}\\) , \\((01)^{m}\\) and \\(10(00)^{m - 1}\\) . \n\nSo, apart from this specific string, the rooster will stop at most two laps in a row at each position. \n\nLemma 2. If the rooster bypasses one position on a lap, then it stops at that position on the next two laps, with the same exception as lemma 1. \n\nProof. The position must be preceded by 1 in lap \\(t\\) . If it is preceded by 11, it changes to 10 in lap \\(t + 1\\) . Then it becomes 00 because the 1 was already skipped in the previous lap, and the rooster will stop at the position in the lap \\(t + 2\\) . \n\nNow suppose that the position was preceded by \\((01)^{m}\\) on lap \\(t\\) and take \\(m \\leq \\frac{n}{2}\\) maximal. It becomes \\(10(00)^{m - 1}\\) or \\((00)^{m}\\) in lap \\(t + 1\\) . In the former case, in lap \\(t + 2\\) it becomes either \\(00(11)^{m - 1}\\) , after which the rooster stops at the position again, or \\((11)^{m}\\) , which we'll study later. In the former case, \\((00)^{m}\\) becomes \\((11)^{m}\\) or \\(01(11)^{m - 1}\\) . In the latter case, the 0 was bypassed, so it must be sopped in the next lap, becoming \\((10)^{m}\\) . In the \\((11)^{m}\\) case, in order to bypass the position in lap \\(t + 2\\) , it must become \\((10)^{m}\\) . All in all, the preceding terms are \\((01)^{m}\\) . Then, either \\(10(00)^{m - 1}\\) or \\((00)^{m}\\) , then either \\((11)^{m}\\) or \\(01(11)^{m - 1}\\) , then \\((10)^{m}\\) . Then the second term in \\((01)^{m}\\) is 1, then 0, then 1, and then 0, that is, it changed three times. So we fall under the exception to lemma 1. \\(\\square\\) \n\nThe result then immediately follows from lemmata 1 and 2.", "metadata": {"resource_path": "APMO/segmented/en-apmo2025_sol.jsonl", "problem_match": "# Problem 4 ", "solution_match": "# Solution 1"}} diff --git a/Balkan_MO/md/en-2025-BMO-type1.md b/Balkan_MO/md/en-2025-BMO-type1.md index 26a670cd7a177da994ee035842e070cfc1a4d591..dac1bdd998df196a791347909ddc465e3bf9792d 100644 --- a/Balkan_MO/md/en-2025-BMO-type1.md +++ b/Balkan_MO/md/en-2025-BMO-type1.md @@ -105,7 +105,7 @@ Problem 2. Let \(\triangle ABC\) be an acute- angled triangle with orthocentre \ ## Solution 1 -![](data:image/jpeg;base64,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) +![md5:445c9b9841d9d8e7b91d149a78c6c4f5](445c9b9841d9d8e7b91d149a78c6c4f5.jpeg) We have \(\angle PCD = \angle ECD = \angle EAD\) and \(\angle PBD = \angle FBD = \angle FAD\) , therefore @@ -133,7 +133,7 @@ As in Solution 1, we introduce the point \(Y\) and prove that the quadrilateral Since \(\angle HZD = \angle HZX = \angle HCX = \angle HCP = \angle HYP = \angle HYD\) , we get the points \(H, D, Z, Y\) are concyclic. We also know that \(\angle DZC = \angle XZC = \angle XHC = \angle BYC =\) -![](data:image/jpeg;base64,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) +![md5:c72df1e0c79dce90c4d1b08e77d131d2](c72df1e0c79dce90c4d1b08e77d131d2.jpeg) \(\angle L C B\) , where the last equality holds because \(L C\) is tangent to \((B H P C)\) . This implies that the circles \((B Y C)\) and \((Z D C)\) share a common tangent at the point \(C\) . Finally, applying the radical axis theorem to the circles \((Z D C)\) , \((H D Z Y)\) and \((B H P C)\) , we conclude that the line \(X D\) passes through the point \(L\) , finishing the proof. @@ -151,7 +151,7 @@ If we denote the intersection of \(L D\) and \(B Z\) as \(X^{\prime}\) , project Combining the above, we have \((B,X;H,Z) = (B,D;H_{A},C) = (B,X^{\prime};H,Z)\) . It is well- known that, with 3 fixed points and a fixed cross- ratio, the fourth point is uniquely determined. This implies \(X\equiv X^{\prime}\) and we are done. -![](data:image/jpeg;base64,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) +![md5:127f8321db36b2798ee21466abe0664d](127f8321db36b2798ee21466abe0664d.jpeg) ## Solution 4 @@ -302,7 +302,7 @@ Next, we show that if we have an edge between \(V_{i}\) and \(V_{j}\) , then we \[V_{i + 1}V_{i + 2}\ldots V_{j}V_{i}V_{i - 1}\ldots V_{j + 1}\] -![](data:image/jpeg;base64,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) +![md5:9316dac12bfa4d6097c691f6a5d17473](9316dac12bfa4d6097c691f6a5d17473.jpeg) of length \(n\) . As before, we conclude that there is an edge between \(V_{i + 1}\) and \(V_{j + 1}\) . Repeating this, we get that if we have an edge between two vertices at distance \(r\) , then we have edges between any two vertices at distance \(r\) . @@ -313,7 +313,7 @@ For positive integers \(a\) and \(b\) with \(a + b\leqslant n - 1\) , consider t \[V_{1},V_{a + b},V_{a + b - 1},\ldots ,V_{a + 1},V_{a + b + 1},V_{a + b + 2},\ldots ,V_{n},V_{a},V_{a - 1},\ldots ,V_{1}.\] -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAEOAQwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiignAyelABRTd6ld24Y9c04EEZByKACiiigA6daTcpGdwx65pHRZI2RgCrDBB7ivOfBqRX3hs+HAilYbu4W94HyxrK2AfdsY+gNHkHmekA5GRRVSxutPmQwWFxbSLCFBSB1OwEccDpx0qjfeI7Sz8L3WvKrSW1vG8m0kKW2kgjn1IoegLXQ2aKhtbqK8t1mhkR1PUo4YA9xkehqagE7hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNkRZY2jdQysCCD3FOooeoHm3gmKHUPDC+GxEhjt7q4S+G0YCLMwVT7tj8ga9GiSOONY4lRUQYVUGAB6YrNbQbaDS9StNNAspL4ySPNGPm81xy/1/wqhonhiXSru/la5jEdz5QVLeLyygRAoBOTnoT+NF+4Gjd67Y2mg3Ws7nltLZJGcxr8x2EhgAcc5BFW576C1sTeXDmKFQCxYZK59h9a5yPwlJL4VbSbm4OXuDI6sd6Mn2gybSOOq8H6mnXPhWX/hGbnT4bpmnmkaXg7EBZ9xAHOAO1AG5qOqWuli3N0XAnmSBCqFhvYhQCRwOT3qt/wAI7p8WnalZ2kX2Yai0kk8kf3mdxgtn1qHWdIbUre1tIb5EeC7iuj5o3sQjhsdRjOK1Zr21tlzPcwx46lnA/nS0s7/0tBpNtKP9Mx9K8MJp11eTPdvMtyI18sL5YQIoVQCOcAA/99GorfwlCnh1NLllbIlEhdWJBxL5gGCenABq6/ijQ0bb/acDt6RNvP8A47mm/wDCU6V2e7b/AHbKY/ySl7SPc2WEr9IP7mW9K0xNKtpIlkeV5ZnnkkbqzscnjsO2Par1Y3/CVaR/FNOn/XS1lT+a0+PxPocrbRqlsp9Hfaf1xS9pHuDwtdauD+5mtRUEV7azjMNzDIPVXBqeruYtNaMKKKKBHPw67c/8Jlf6RcJClrb2aXSS87mBJBz24x+taGkXN3eWrXNykaRyMTAqgg+X2LZ7kc1jap4YudQ8bW2qCZE0/wCwtbXUf8UvzhlX6cHPtx3qObWNcTxFBbLZXAtGvTE2y1ZlEIj4cvjAy5HfgA0LZf11B7v+uh1tFc7DPqR8Z3UTJH5IsIWC+a20EySZI464A/IU3REmj8XeImeO5W3kNuYXkR9jYQ7tpPHU9qOgPex0lFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVm3eswwTm1t43u7sdYYedv8AvHov41wo8BeJ9R8dXur6r4geLSbmIgWNrcPlDtwF6AEDr79xSUk3ZGkqUoxUpaX/AK2O2vfEenWcxt0d7q77W1qhlk/EDp9TgVWE3ibUP9VbWekwn+K4b7RN/wB8KQin/gTfStC00m20+No7IC2jKbdkSKAD/e6ZJ+vHtVryWJJM0nKbOo6/3unWmZnnw+Fjf8JtJ4pn127vLhoiv2eT92rNjHLJ0X2ArsrbRdHjd/K0+DejbSzx5OcA8FuvWrwtwBgyyn935fL/AK/X3pr2UUmzeZG2LtXMh/Pr19+tJxT1aNI1ZxXLGTSJkRI12oqqPQDFOqksX2ZUNxJJII4WDzs2ABweRnrgdfY+tWEgjUoyg/ImxSSTxTMyWmSRxyrtkRHHowBpkVrBCkSxxgCKPy09l44/QUqW0Mfl7Y1HloUT2U4yP0H5UAnYoy6Fo07DfYWu5hkFUCk/lVcaHHDt+wand2pblVWXzFP/AAFs1rrBErIwjUGMFUOPug4yB+QpVhjXZtjUbBhcD7o9qnkj2N1iaq05nbz1X3Mwxda3Z7GxaatbuMqYGEMpHqASVb8xWdL8TfDVtrVjpF1PcW19esFjjmgZcEnAyenJ4znFdasUaBQsaqEGFAGMD2rJ1PwnoGs3kN3qOk2lzPCpWN5IwSoPahRa6inVjNaxSfdafht91jZorlX8P6von73w3qBkgXk6ZqDF4yPRJPvRn67h7VNF410qFWTWHOj3UY+eG8IX8Vbow9xVGJ0TxrIrKw4YYP0rzrwWzaj4Si0B5ZHmju7mO9kLncsaTMOTnOSNo/OvRIZo7iFJoXV43AZWU5BB7isdfDFjbaZq9pp+6zk1NpZJp0OWEkmcsM+meBQM1bZ7fyxFbSRssYAwrbsDtU1YOg+HpdGvry4a7ikS4WNViit/LEYRQoGdxJ7/AJ1vU2SgooopDCiiigAooooAKKKKACiiigAooqtfX0GnWrXFwxCghVUDLOx6Ko7k+lDdtWOMXJ8sVqSzzxWsDzzyLHEgyzscACsjffa3xE0ljp56yYxNMPb+4Pfr9KfBYT6jPHe6quAh3QWecrGezN/eb9B29a2KjWXodF40fh1l36L07+u3buQWllbWEAhtYVjjHYdz6k9z71PRRVpWOeUnJ3b1CiiigQUUUUABAIIIyDUJiZJGkiJJcruDudoA9B2P86mooAZHKJASAy8kYYYPBxT6jeGN5FlKJ5qKVSQqCVBxnB98D8hUZn+zJ/pLARqFHnMQNzHjp25x+dAFiiiigAooooAK57xj4N0vxvow0zVfOWJZRKkkLBXVgCOCQexNdDRQBy+lLceFtNgsJF+06baosQkjO6W3AAwHAHzDBHIAPt3rpIZ4rmFJoJFkicZV1OQRUcjJbzK5MUccrbWyMF5DgL+gx+VZs9hPpVxJe6VHuikO64sxwGPdk7BvUdD9ajWPodK5K2j0l+D/AMn+H5m1RVexvrfUbVbi2k3oSQeMFSOoI6gj0NWKtO+qOeUXF8slZhRRRQIKKKKACiiigAooooAKKKRmCqWYgKBkk9qAIby8gsLV7m4fbGg54ySewA7k9AKoWFnNdXK6nqKbZsH7PATkQKf/AGYjqfwqKyB1u8XUpFIsYmP2NG/5aH/nqR6f3fbnvW3UL3teh0y/crkXxPfy8v8AP7u9yiiirOYKKKKACiiigAooooAKKKKACiiigCHy3jIMbZUuWkDEscYPC+nOKfFIJYkfayFhna4ww+op9RSQK5LLhJSu3zABuAznGfSgCWioRMySMswSMFwkR35L/KD0xwc5GOeme9TUAFFFFADXDNGwVtrEEBsZwfWmwyCWPcA/DMp3oVJIJBOD244PQjkcVJURylyCFlYSDacEbUxk5xnPOccZ6CgDK1CznsbttW06Mu5A+1Wy/wDLdR3H+2B09eladneQX9pHdW0geKQZUj+RHY+1T1h3Y/sK+N+gIsJ2xdqOkTHpLj0zw359jUP3XfodUX7eKg/iW3n5f5fd2tuUUgIIBByD0Ipas5QooooAKKKKACiiigArH1MnUr1dIjJ8raJLxh2Tsn1b+QNX9QvE0+xluXG4IOFHVj2H4modIsns7MtOd13OxluH9XPb6AYA9hUS1fKdFL93H2r36evf5fnYvKqooVQAoGAB2FLRRVnOFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVbY9qpMfzQIjExhSzs2c8HP6YqzRQA1XViQGG4YyM8j606opIQ+NrtGd6sWTALYPQ8dD0+lCykOqSqFdt20Akgge+PegCWmSxJPHskGVyD1xyDkfyp9FAEcLtJEpkVVlwPMRW3BWxkjNOdFljaN1DIwIYHoRURKw3A/wBWiSn6Mz4/wH6VPQBi6U7abfPo0zZQL5tmx6tH3X6qcfgRW1WbrVi93aLLb8Xlq3nW7f7Q6r9CMg/WrNhex6hYxXUeQsgyVPVT3B+hqI6PlOit+8iqq9H69/n+dyzRRRVnOFFFFABRRTZZFiieRzhUUsT7CgErmTc/8THXobTrb2QE83+1Ic7F/Dlv++a2Ky9Bib+zzdSf628c3Dn6/dH4KFH4VqVMdr9zeu7S5FtHT/P8fwCiiiqMAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkdVdGRhlWGCPalooAgw8GdgDRBVVI1XBHXJznkYx27HrniRJY5d3lur7WKttOcEdQfen1G0W50YOy7SSQpwG+tABOjyQSLE4jlKkI5XdtbHBx3pY5BKm5c4yRypHIOO9MilY7I5VxN5YZ9qnYD3Abp1/GgBkujzK6yDPbZHj9ec+/TtQBNWLZn+ztfubE8QXgN1b+gYYEi/yb/gR9K2qyfEEZFgl7GP31lIJ1PsOGH4qTUT2v2N8O7ydN7S0+fT8fwua1FNR1kjV1OVYAg+1OqzAKKKKACsrxC7HTVtUOHvJktxj0Y/MfwUMfwrVrIuh9p8T6fEfuW0MtwR/tnCL+hkqZ7WN8P8AxOZ9Lv7tfzNZVVEVFGFUYA9BS0UVRgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAyaGO4haKVQ8bDDKe9QzxyMApDyq0gPyts8sDkZOckZAH4+mas0UAQ2s4ubZJQUJYfMEfeAe4z3wcipJI1lieNxlXBUj1BqoYTBcs0RijV1IRSSN0hySSO/AHv1qxHMGZ0YMGTAYlSFJIz8pPX8KA2M/w7KzaULaQ5ls5Gtn+qHAP4rtP41ljXLm08b6nY3tyo06DT47uMbORlmVuep6D860rIfZ/EuqQdFnjiuR7nBjb/0Bfzqte+F0vvF9prj3BEcFuYmtwvEh3BlJPoDzj1qIdF6/qb4m3O5LrZ/fZv8AUu6RLdNE32+dTcyEyi3wA0KE/Kpx1IHBPrmtOsCKwuU8dT6gLMrayWSw+eGTBcMTyM7uhHat+r6GHUKybP8AeeI9TlP/ACzSGEfkW/8AZ61qytJ5vdVfubrH5KoqZbo3paQm/L9UatFFFUYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEcyNJGQjKsn8Dld20+uKRTFcxK/DrkMCR3BqWoAWjuipMziXLDIGyPAAxkDPPXnPegDz/AMQa94j0n4p6Fp9npf2vT7uJo5bp15IZyxAIIA2BV6jPJ616PWB4g+TVvD8vcXpX/vqNhV1dbtW8QvogWX7WsAuCSny7CcZz9aEhuTa16GlRVOy1GK/kuFijlCwSGIuy4VmHXae+DxVygQVl6N/rdS9ftj/yFalZWk8Xuqr6XWfzVTUvdG1P+HP5fmatFFFUYhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUc6b4jw5K/MArlSSOQMj/9VSUUAc94jLGbQGK7WOox5XOcfK2ay9ettSHxA0ybTonxc2M1tLcBciD5lIYnpnrgetQ+L/EOk6N4m8O6XdTxQPcXqzooUkkncCTgYGWI/Emu7o63DocpceJbbw/dNpSadKILXyIxJ5i4PmOEXryTySc+hNdUrBlDKQQRkEd6rT6ZYXW/7RZW03mFS/mRK24r0zkc4q10o6ah6BWTY/u/EOqw9nWGcfiCv/sla1Y85+z+LLOQ/curaSHP+2hDqPyL/lUy6M3oaqUe6f4a/obFFFFUYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBy2veHdJ1rxfok99Yxzz2iSTRu2cjaVx+TEGuprHtz9p8V3sg+5a28cH/AmJdv02fnWxUxd7s2rJR5Y+S/HX8mFFFFUYhWR4hXZYw3oHzWVwk//AQcP/46zVr1HcQpc28kEgykilSPY0pK6saUZ8lRSZICCMjkGiszQZnk0xYZTma2YwSfVTj9Rg/jWnQndXFUg4TcX0CiiimQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUEgAknAFFZmvTPHpbxRHE1ywgj+rHH8smk3ZXLpw55qK6kfh5S9jNesPmvbiSf/gJO1P/ABxVrXqOCFbeCOFBhI1CgewqSiKsrDrT55uSCiiimZhRRRQBjNnTPEe7/l21IAH/AGZ1HH/fSjH1UetbNUtWsjf6dJCjbZRh4m/uuDlT+dGlX66jp8c+NsgyksZ6o4OGU/Q1C0djoqe/TVTqtH+n4afIu0UUVZzhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYyg6n4jaQ822mjavo07Dk/wDAVOPqx9Kuarff2fYPKq75WIjhTu7scKPzpdLsv7PsEgZt8nLyP/ecnLH8zUPV2Oin+7pufV6L9fw0+ZcoooqznCiiigAooooAKxLoDR9YF+vy2d4RHcjssnRZPx+6fwrbqOeCK5gkgmQPFIpVlPQg1Mlc1pVFCWuz0fp/WqJKKxtLmlsLo6PeSF9o3WkzdZY/7p/2l6e4wfWtmnF3QqtN05W3XR90FFFFMzCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACjpRWNqU0uo3P9kWblQcG7mU8xp/dH+03T2GT6UpOyNKVNzlbZdX2Q2zzrGq/2i3Nnalo7Udnfo0n81H4+tbdMhhjt4UhiQJGihVUdABT6UVZDq1OeWmy0Xp/W4UUUVRkFFFFABRRRQAUUUUAVNR0+LUbbynZo3U7opU4aNuzCq2l6lLJK+n34VNQhGW28LKv99fY9x2NalUNU0qLU4ky7Q3MR3QXEfDxN6j1HqDwRUtO90b05xa9nU26Pt/wO5forI0/VZftI03U1SG/AyhHCTgfxJ/UdRWvTTT2IqU5U3aX/AA4UUUUzMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiism/1aT7S2naYiz32PnJ+5AD0Ln+Q6mk2luaU6cqjtEdqepSxyiwsFWTUJRkbvuxL/fb29u9WdO0+LTrUQxszsTuklflpGPVj7mmaZpkemwMN7TXEp3z3D/elb1PoPQDgCr1JJ7supOKXs6e3fv/AMDsFFFFUYBRRRQAUUUUAFFFFABRRRQAUUUUAVdQ0611O2MF1HvXO5WBwyMOjKeoI9RWWL+80IiPVC1xY9FvlXlP+uoHT/eHHrit6ggEEEZB7VLjfVbm1OtZck1ePb/Lt/V0NjkSaNZI3V0YZVlOQR6g06sSTRJbGRp9EmFsxO5rZ+YXP0/hPuPypbfxAscy22rWz6dcMcKZDmKQ/wCzIOPwOD7Uue2ktC3h+Zc1J8y7dfu/yubVFAIIyDkUVZzBRRRQAUUUUAFFFFABRRRQAUUUhIAyTgepoAWmySJFG0kjqiKMszHAA96x5vEUUlw1ppULahdDhvK4ij/35Og+gyfahNEkvXWbWpxdEHK2ycQqfp/F+P5VHPf4dTpWH5daz5V26/d/nYjN9e65lNL3W1keDeuvzOP+man/ANCPHpmtTT9PttMtRb2se1clmYnLOx6sx6kn1NWgAAABgDoKKajbV7kVK3MuSCtHt/n3/qyCiiiqMQooooAKKKKACiiigAooooAKKKKACiiigAooooAKZLFHPE0U0ayRsMMrjIP4U+igE7aoyf7E+zHOm3k1p6R53x/98np+GKT7dqtkcXmnfao/+e1kwJ/GNiCPwLVr0VPJbbQ39u3/ABEpeu/3rX7zNi1/TZX2NceTJ/zzuFMTfkwFaCSxyDMbq49VOaSWGKdNksaSL6OoIqg+gaW5z9jRD6x5U/pR7wfuX3X3P/I0qKzBosaDEV5fRj0FyxA/PNMbRpz9zWtRT6Mh/mpou+wlTpv7f3p/pc1qKx/7DuT97XtTP4xj+SUDQFb/AF2p6lKPQ3JUf+O4pc0uxXs6S3n9yf8AwDWd1jXc7BR6k4qhNr2mQts+1rJJ/chBkb8lyaYnh7S1YM1t5pHeVy/8zWjFDFAmyGJI19EUAU/eF+5Xd/cv8zL+3areHFlp4t4/+e16cH8I15P4laDoZuyDql5Ldj/nkP3cX/fI6/iTWvRRyX31D27j/DXL6b/fv91iOGGK3iWKGNI414CIoAH4VJRRVGLbbuwooooEFFFFABRRRQAUUUUAFFFFAH//2Q==) +![md5:1c7eeed50d3d340ad16701f09e012735](1c7eeed50d3d340ad16701f09e012735.jpeg) The distance between two consecutive vertices in this ordering is \(1,a,b\) or \(a + b - 1\) . This implies that if two numbers from the multiset \(\{a,b,a + b - 1\}\) belong to \(S\) , so does the third one. Now, if \(2\in S\) , we take \(b = 2\) and easily get that that \(S\) contains any number from 1 to \(n - 1\) . This gives us the solution \(K_{n}\) . @@ -328,7 +328,7 @@ If \(S = \{1, n - 1\}\) , we get the solution \(C_{n}\) . Otherwise, there exist of length \(n\) . -![](data:image/jpeg;base64,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) +![md5:9f113990806516ca18631ddb7848f20b](9f113990806516ca18631ddb7848f20b.jpeg) Same as before, we get that there is an edge between \(V_{t}\) and \(V_{t + 3}\) . Therefore, we have \(3 \in S\) . Now, taking \(b = 3\) , we get that any odd number smaller than or equal to \(n - 1\) lies in \(S\) . Since we assumed \(S\) doesn’t contain consecutive integers, we get that \(n\) is even and \(S = \{1 \leqslant i \leqslant n - 1 | i \text{odd}\}\) . This gives us the solution \(K_{\frac{n}{2}, \frac{n}{2}}\) . diff --git a/Balkan_MO/segmented/en-2025-BMO-type1.jsonl b/Balkan_MO/segmented/en-2025-BMO-type1.jsonl index 6741d368723a8ff43787758927b57e08457219a7..f2a5b38129623bf199aaba59dcf8a79692d1cc0b 100644 --- a/Balkan_MO/segmented/en-2025-BMO-type1.jsonl +++ b/Balkan_MO/segmented/en-2025-BMO-type1.jsonl @@ -1,11 +1,11 @@ {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Balkan_MO", "problem": "An integer \\(n > 1\\) is called good if there exists a permutation \\(a_{1},a_{2},a_{3},\\ldots ,a_{n}\\) of the numbers \\(1,2,3,\\ldots ,n\\) , such that: \n\n- \\(a_{i}\\) and \\(a_{i + 1}\\) have different parities for every \\(1 \\leqslant i \\leqslant n - 1\\) ; \n\n- the sum \\(a_{1} + a_{2} + \\dots + a_{k}\\) is a quadratic residue modulo \\(n\\) for every \\(1 \\leqslant k \\leqslant n\\) . \n\nProve that there exist infinitely many good numbers, as well as infinitely many positive integers which are not good. \n\nRemark: Here an integer \\(x\\) is considered a quadratic residue modulo \\(n\\) if there exists an integer \\(y\\) such that \\(x \\equiv y^{2} \\pmod {n}\\) .", "solution": "We will split the problem into two parts - the first one proving there are infinitely many numbers that are not good, and the second part proving there are infinitely many good numbers. \n\n## Infinitely many numbers are not good \n\n## Proof #1 \n\nWe will show that all numbers \\(n = 4^{m}\\) with \\(m \\in \\mathbb{Z}^{+}\\) are not good. Indeed, consider the last sum in the given condition \n\n\\[a_{1} + a_{2} + \\dots +a_{n} = 1 + 2 + \\dots +n = \\frac{4^{m}(4^{m} + 1)}{2}\\] \n\nSuppose that there exists \\(x \\in \\mathbb{Z}\\) such that \n\n\\[\\frac{4^{m}(4^{m} + 1)}{2} \\equiv x^{2} \\pmod{4^{m}} \\Longleftrightarrow 4^{m} \\equiv 2x^{2} \\pmod{2 \\cdot 4^{m}} \\Longleftrightarrow 2 \\cdot 4^{m} \\mid 4^{m} - 2x^{2}\\] \n\nThis means that \\(4^{m} \\mid 2x^{2}\\) , that is \\(2^{2m - 1} \\mid x^{2}\\) , so \\(2^{m} \\mid x\\) . Let \\(x = c \\cdot 2^{m}\\) with \\(c \\in \\mathbb{Z}\\) . Thus \n\n\\[4^{m} \\equiv 2(2^{m}c)^{2} \\equiv 2c^{2} \\cdot 4^{m} \\equiv 0 \\pmod{2 \\cdot 4^{m}}\\] \n\nthis implies that \\(4^{m} \\equiv 0 \\pmod{2 \\cdot 4^{m}}\\) , which is not true. This proves the second part of the problem, i.e. that there are infinitely many numbers that are not good.\n\n\n\n## Proof #2.1 \n\nWe will show that all numbers \\(n = 4m\\) with \\(m\\in \\mathbb{Z}^{+}\\) are not good. Assume otherwise and let \\(a_{k} = 2\\) for some \\(1\\leqslant k\\leqslant n\\) \n\nLet \\(S_{i} = a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i}\\) (if \\(i< 1\\) \\(S_{i}\\) is the empty sum). Let \\(S_{k - 1}\\equiv x^{2}\\) (mod \\(4m\\) ) and \\(S_{k}\\equiv y^{2}\\) (mod \\(4m\\) ). Thus \\(x^{2} + 2\\equiv y^{2}\\) (mod \\(4m\\) ), which means that \\(x\\) and \\(y\\) have the same parity. Now \\(4m\\mid (x - y)(x + y) + 2\\) , but since \\(4\\mid (x - y)(x + y)\\) , we get \\(4\\mid 2\\) , a contradiction. \n\n## Proof #2.2 \n\nWe will show that all numbers \\(n = 2^{m}\\) with \\(m\\in \\mathbb{Z}^{+}\\) , \\(m > 3\\) are not good. For the sake of contradiction, assume that \\(n\\) is good. \n\nLemma. Let \\(n = 2^{m}\\) with \\(m\\in \\mathbb{Z}^{+}\\) , \\(m > 3\\) and let \\(r\\) be an odd quadratic residue modulo \\(n\\) . Then \\(r\\equiv 1\\) (mod 8). \n\nProof. Since \\(r\\) is a quadratic residue, we know that \\(r\\equiv t^{2}\\) (mod \\(2^{m}\\) ) for some odd integer \\(t\\) . Then we have that \\(2^{m}\\mid r - t^{2}\\) , and because \\(m > 3\\) , we have that \\(8\\mid r - t^{2}\\) . Since \\(t\\) is odd, \\(t^{2}\\equiv 1\\) (mod 8), so we get that \\(r\\equiv 1\\) (mod 8). \n\nClaim. Let \\(n = 2^{m}\\) with \\(m\\in \\mathbb{Z}^{+}\\) , \\(m > 3\\) and let \\(r\\) be a quadratic residue modulo \\(n\\) . If \\(v_{2}(r)\\leqslant m - 3\\) then \\(r = 4^{a}\\cdot (8b + 1)\\) for some nonnegative integers \\(a\\) and \\(b\\) . \n\nProof. If \\(r\\) is odd, from the previous lemma we have that \\(r = 8b + 1\\) ( \\(a = 0\\) ) for some integer \\(b\\) . If \\(r = 2^{c}r_{1}\\) for some \\(1\\leqslant c\\leqslant m - 3\\) and odd \\(r_{1}\\) , we get that \\(2^{m}\\mid r - k^{2}\\) for some integer \\(k\\) . That is, we have \\(2^{m}\\mid 2^{c}r_{1} - k^{2}\\) . Let \\(k^{2} = 2^{2t}k_{1}^{2}\\) for some nonnegative integer \\(t\\) and odd integer \\(k_{1}\\) . Since \\(2^{c}\\mid k^{2}\\) , we get \\(2t\\geqslant c\\) . If \\(2t > c\\) , it follows that \\(v_{2}(2^{c}r_{1} - k^{2}) = c< m\\) , a contradiction. Therefore \\(c = 2t\\) and so \\(v_{2}(r)\\) is even. Now we have that \\(2^{m}\\mid 2^{c}r_{1} - 2^{c}k_{1}^{2}\\) , thus \\(2^{m - c}\\mid r_{1} - k_{1}^{2}\\) . Since \\(m - c\\geqslant 3\\) , we have that \\(8\\mid r_{1} - k_{1}^{2}\\) and because \\(k_{1}\\) is odd we get \\(r_{1}\\equiv 1\\) (mod 8). \n\nAssume \\(2^{m}\\) with \\(m > 3\\) is good with some permutation \\(a_{1},a_{2},\\ldots ,a_{2^{m}}\\) and let \\(a_{i} = 2\\) , for some \\(i > 1\\) (from the claim we know that 2 is not a quadratic residue modulo \\(2^{m}\\) ). Consider the following cases: \n\nCase 1. If \\(2^{m - 2}\\mid a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i - 1}\\) . Let \\(a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i- 1} = 2^{m- 2}c\\) for some integer \\(c\\) . Then \\(v_{2}(a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i}) = v_{2}(2^{m- 2}c + 2) = 1\\) and from the claim this is not a quadratic residue, a contradiction. \n\nCase 2. If \\(2^{m - 2}\\mid a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i}\\) . Let \\(a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i} = 2^{m - 2}c\\) for some integer \\(c\\) . Then \\(v_{2}(a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i - 1}) = v_{2}(2^{m - 2}c - 2) = 1\\) and from the claim this is not a quadratic residue, a contradiction. \n\nCase 3. Otherwise, the claim implies \\(a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i - 1} = 4^{k_{1}}(8l_{1} + 1)\\) and \\(a_{1} + a_{2} + \\cdot \\cdot \\cdot +a_{i} =\\) \\(4^{k_{2}}(8l_{2} + 1)\\) for some nonnegative integers \\(k_{1},k_{2},l_{1},l_{2}\\) . Then we have \\(4^{k_{1}}(8l_{1} + 1) + 2 =\\) \\(4^{k_{2}}(8l_{2} + 1)\\) . Looking at the equation modulo 4, we get that at least one of \\(k_{1},k_{2}\\) is 0. If exactly one of \\(k_{1},k_{2}\\) is equal to 0 we get a contradiction modulo 2. Therefore \\(k_{1} = k_{2} = 0\\) and thus \\(8l_{1} + 3 = 8l_{2} + 1\\) , which is impossible.\n\n\n\n## Infinitely many numbers are good \n\n## Proof #1 \n\nNow let \\(n = p\\) be a prime number of the form \\(4k + 3,k\\in \\mathbb{Z}\\) . Consider the numbers \n\n\\[1^{2},2^{2},\\ldots ,\\left(\\frac{p - 1}{2}\\right)^{2},p - 1^{2},p - 2^{2},\\ldots ,p - \\left(\\frac{p - 1}{2}\\right)^{2}.\\] \n\nClearly, in this sequence, no two numbers are congruent modulo \\(p\\) . Indeed, suppose that there is \\(i^{2}\\equiv j^{2}\\) (mod \\(p\\) ) with \\(1\\leqslant i< j\\leqslant{\\frac{p - 1}{2}}\\) then \\(p\\mid (j - i)(j + i)\\) . But \\(0< j + i< p\\) \\(0< j - i< p\\) , a contradiction. From there, it follows that the first \\(\\textstyle{\\frac{p - 1}{2}}\\) numbers have distinct remainders in modulo \\(p\\) . We reason similarly for the last \\(\\textstyle{\\frac{p - 1}{2}}\\) numbers. Next suppose that there is \\(i^{2}\\equiv p - j^{2}\\) (mod \\(p\\) ) with \\(1\\leqslant i,j\\leqslant{\\frac{p - 1}{2}}\\) then \\(p\\mid i^{2} + j^{2}\\) . According to the well known properties of quadratic residues modulo a prime \\(p = 4k + 3\\) , we conclude that \\(p\\mid i\\) and \\(p\\mid j\\) which is also a contradiction. Thus, the claim is proved. \n\nNotice that for \\(1\\leqslant i\\leqslant{\\frac{p - 1}{2}}\\) , two numbers \\(i^{2}\\) and \\(p - i^{2}\\) have different parity remainders in modulo \\(p\\) (since the sum of the two remainders is \\(p\\) , which is odd). Consider the remainder of \\(1^{2},2^{2},\\ldots ,\\left(\\frac{p - 1}{2}\\right)^{2}\\) when divided by \\(p\\) . We denote by \\(a_{1},a_{2},\\ldots ,a_{m}\\) the odd remainders and by \\(b_{1},b_{2},\\ldots ,b_{n}\\) the even remainders; note that \\(m + n = \\textstyle {\\frac{p - 1}{2}}\\) . Finally, consider the following permutation: \n\n\\[a_{1},p - a_{1},a_{2},p - a_{2},\\ldots ,a_{m},p - a_{m},p,b_{1},p - b_{1},b_{2},p - b_{2},\\ldots ,b_{n},p - b_{n}\\] \n\nObviously, according to the above arguments, two consecutive numbers in the above permutation have different parity, and the sum of any first \\(i\\) numbers in the permutation is either congruent to 0 or congruent to some number in \\(\\{1^{2},2^{2},\\ldots ,\\left(\\frac{p - 1}{2}\\right)^{2}\\}\\) , which is clearly a quadratic residue modulo \\(p\\) . Thus, the constructed permutation as above satisfies the given conditions. Since there are infinitely many primes of the form \\(p = 4k + 3\\) , we have proved that there are infinitely many good numbers as well. \n\n## Proof #2 \n\nLet \\(n\\) be an odd integer. We will prove that the number \\(2n\\) is good. Consider the numbers: \n\n\\[1,3 + n,5,7 + n,9,11 + n,\\ldots ,4n - 1 + n.\\] \n\nIt can be easily proven that no two numbers in this sequence are congruent modulo \\(2n\\) . Since there are \\(2n\\) numbers in the sequence, they form a complete residue system modulo \\(2n\\) . Also, note that the sum of the first \\(k\\) ( \\(1\\leqslant k\\leqslant 2n\\) ) numbers in the sequence is a quadratic residue modulo \\(2n\\) (it is a quadratic residue modulo \\(n\\) as it is congruent to \\(1 + 3 + \\ldots +2k - 1 = k^{2}\\) modulo \\(n\\) and since \\(x^{2} + n\\equiv (x + n)^{2}\\) (mod \\(2n\\) ) for all integers \\(x\\) , it is also a quadratic residue modulo \\(2n\\) ). The parity condition is also satisfied (even after reduction by modulo \\(2n\\) , since \\(2n\\) is even). Finally, taking the numbers modulo \\(2n\\) gives the desired permutation.\n\n\n\n## Proof #3 \n\nLet \\(p > 2\\) be a prime number of the form \\(p = 3k + 2, k \\in \\mathbb{Z}\\) . We will prove that the number \\(n = 2p\\) is good. Consider the numbers: \n\n\\[1^{3},2^{3},3^{3},\\ldots ,(2p)^{3}.\\] \n\nIt is well known that if \\(p \\equiv 2\\) (mod 3) then the above numbers form a complete residue system modulo \\(p\\) . It can easily be proven that they also form a complete residue system modulo \\(2p\\) (by also taking parity into account). Now, since \\(1^{3} + 2^{3} + \\ldots + k^{3} = (1 + 2 + \\ldots + k)^{2}\\) , we get that the sum of the first \\(k\\) ( \\(1 \\leqslant k \\leqslant 2p\\) ) numbers in the sequence modulo \\(p\\) is a quadratic residue modulo \\(p\\) . The parity condition is also satisfied (even after reduction modulo \\(n = 2p\\) , since \\(2p\\) is even). Finally, taking the numbers modulo \\(n\\) gives the desired permutation.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 1.", "solution_match": "# Solution "}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "![](data:image/jpeg;base64,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)\n \n\nWe have \\(\\angle PCD = \\angle ECD = \\angle EAD\\) and \\(\\angle PBD = \\angle FBD = \\angle FAD\\) , therefore \n\n\\[\\angle BPC = 180^{\\circ} - \\angle EAD - \\angle FAD = 180^{\\circ} - \\angle BAC = \\angle BHC,\\] \n\nmeaning that \\(BHPC\\) is cyclic. \n\nWe also have \\(\\angle PFD = \\angle BFD = \\angle BAD = \\angle PCD\\) showing that \\(DPFC\\) is cyclic. Then, using that \\(BAFD\\) is also cyclic, we have \n\n\\[\\angle DPC = \\angle DFC = \\angle ABC.\\] \n\nLet \\(Y\\) be the point of intersection of \\(AH\\) with the circumcircle of \\(BHPC\\) . Then \n\n\\[\\angle YPC = \\angle YHC = \\angle ABC = \\angle DPC\\] \n\nshowing that \\(D\\) belongs on \\(YP\\) . \n\nFinally, applying Pascal's theorem on the hexagon \\(BHYPCC\\) , we get that \\(X = BH \\cap PC, L = HY \\cap CC\\) and \\(D = YP \\cap CB\\) are collinear, as required.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 1"}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "As in Solution 1, we introduce the point \\(Y\\) and prove that the quadrilateral \\(BHPC\\) is cyclic and that points \\(Y, D, P\\) are collinear. Define point \\(Z\\) as the second intersection of \\((CXH)\\) with the line \\(DX\\) . \n\nSince \\(\\angle HZD = \\angle HZX = \\angle HCX = \\angle HCP = \\angle HYP = \\angle HYD\\) , we get the points \\(H, D, Z, Y\\) are concyclic. We also know that \\(\\angle DZC = \\angle XZC = \\angle XHC = \\angle BYC =\\)\n\n\n![](data:image/jpeg;base64,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)\n \n\n\\(\\angle L C B\\) , where the last equality holds because \\(L C\\) is tangent to \\((B H P C)\\) . This implies that the circles \\((B Y C)\\) and \\((Z D C)\\) share a common tangent at the point \\(C\\) . Finally, applying the radical axis theorem to the circles \\((Z D C)\\) , \\((H D Z Y)\\) and \\((B H P C)\\) , we conclude that the line \\(X D\\) passes through the point \\(L\\) , finishing the proof.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 2"}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "Let \\(H_{A}\\) and \\(H_{C}\\) be the feet of the altitudes from \\(A\\) and \\(C\\) , respectively. Also, let \\(B A\\) and \\(B H\\) meet \\(C L\\) at \\(Z\\) and \\(T\\) respectively. \n\nWe prove that \\(B C P H\\) is cyclic as in Solution 1. \\(C H_{A}H C_{A}\\) and \\(C D E A\\) are cyclic, so \\(\\angle B H_{A}H_{C} = \\angle B D E = \\angle B A C\\) . Since \\(C L\\) is tangent to \\((B H P C)\\) , we have \\(\\angle L C B = 180^{\\circ}-\\) \\(\\angle B H C = \\angle B A C\\) . We obtained \\(\\angle B H_{A}H_{C} = \\angle B D E = \\angle B C L\\) , so \\(H_{C}H_{A}\\parallel E D\\parallel L C\\) \n\nProjecting from \\(C\\) , we obtain \\((B,X;H,Z) = (B,E;H_{C},T)\\) . From \\(H_{C}H_{A}\\parallel E D\\parallel T C\\) we have \\((B,E;H_{C},T) = (B,D;H_{A},C)\\) , which can be seen by applying Thales' theorem or by projecting from infinity. \n\nIf we denote the intersection of \\(L D\\) and \\(B Z\\) as \\(X^{\\prime}\\) , projecting from \\(L\\) we get \\((B,X^{\\prime};H,Z) =\\) \\((B,D;H_{A},C)\\) . \n\nCombining the above, we have \\((B,X;H,Z) = (B,D;H_{A},C) = (B,X^{\\prime};H,Z)\\) . It is well- known that, with 3 fixed points and a fixed cross- ratio, the fourth point is uniquely determined. This implies \\(X\\equiv X^{\\prime}\\) and we are done.\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 3"}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "![md5:445c9b9841d9d8e7b91d149a78c6c4f5](445c9b9841d9d8e7b91d149a78c6c4f5.jpeg)\n \n\nWe have \\(\\angle PCD = \\angle ECD = \\angle EAD\\) and \\(\\angle PBD = \\angle FBD = \\angle FAD\\) , therefore \n\n\\[\\angle BPC = 180^{\\circ} - \\angle EAD - \\angle FAD = 180^{\\circ} - \\angle BAC = \\angle BHC,\\] \n\nmeaning that \\(BHPC\\) is cyclic. \n\nWe also have \\(\\angle PFD = \\angle BFD = \\angle BAD = \\angle PCD\\) showing that \\(DPFC\\) is cyclic. Then, using that \\(BAFD\\) is also cyclic, we have \n\n\\[\\angle DPC = \\angle DFC = \\angle ABC.\\] \n\nLet \\(Y\\) be the point of intersection of \\(AH\\) with the circumcircle of \\(BHPC\\) . Then \n\n\\[\\angle YPC = \\angle YHC = \\angle ABC = \\angle DPC\\] \n\nshowing that \\(D\\) belongs on \\(YP\\) . \n\nFinally, applying Pascal's theorem on the hexagon \\(BHYPCC\\) , we get that \\(X = BH \\cap PC, L = HY \\cap CC\\) and \\(D = YP \\cap CB\\) are collinear, as required.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 1"}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "As in Solution 1, we introduce the point \\(Y\\) and prove that the quadrilateral \\(BHPC\\) is cyclic and that points \\(Y, D, P\\) are collinear. Define point \\(Z\\) as the second intersection of \\((CXH)\\) with the line \\(DX\\) . \n\nSince \\(\\angle HZD = \\angle HZX = \\angle HCX = \\angle HCP = \\angle HYP = \\angle HYD\\) , we get the points \\(H, D, Z, Y\\) are concyclic. We also know that \\(\\angle DZC = \\angle XZC = \\angle XHC = \\angle BYC =\\)\n\n\n![md5:c72df1e0c79dce90c4d1b08e77d131d2](c72df1e0c79dce90c4d1b08e77d131d2.jpeg)\n \n\n\\(\\angle L C B\\) , where the last equality holds because \\(L C\\) is tangent to \\((B H P C)\\) . This implies that the circles \\((B Y C)\\) and \\((Z D C)\\) share a common tangent at the point \\(C\\) . Finally, applying the radical axis theorem to the circles \\((Z D C)\\) , \\((H D Z Y)\\) and \\((B H P C)\\) , we conclude that the line \\(X D\\) passes through the point \\(L\\) , finishing the proof.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 2"}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "Let \\(H_{A}\\) and \\(H_{C}\\) be the feet of the altitudes from \\(A\\) and \\(C\\) , respectively. Also, let \\(B A\\) and \\(B H\\) meet \\(C L\\) at \\(Z\\) and \\(T\\) respectively. \n\nWe prove that \\(B C P H\\) is cyclic as in Solution 1. \\(C H_{A}H C_{A}\\) and \\(C D E A\\) are cyclic, so \\(\\angle B H_{A}H_{C} = \\angle B D E = \\angle B A C\\) . Since \\(C L\\) is tangent to \\((B H P C)\\) , we have \\(\\angle L C B = 180^{\\circ}-\\) \\(\\angle B H C = \\angle B A C\\) . We obtained \\(\\angle B H_{A}H_{C} = \\angle B D E = \\angle B C L\\) , so \\(H_{C}H_{A}\\parallel E D\\parallel L C\\) \n\nProjecting from \\(C\\) , we obtain \\((B,X;H,Z) = (B,E;H_{C},T)\\) . From \\(H_{C}H_{A}\\parallel E D\\parallel T C\\) we have \\((B,E;H_{C},T) = (B,D;H_{A},C)\\) , which can be seen by applying Thales' theorem or by projecting from infinity. \n\nIf we denote the intersection of \\(L D\\) and \\(B Z\\) as \\(X^{\\prime}\\) , projecting from \\(L\\) we get \\((B,X^{\\prime};H,Z) =\\) \\((B,D;H_{A},C)\\) . \n\nCombining the above, we have \\((B,X;H,Z) = (B,D;H_{A},C) = (B,X^{\\prime};H,Z)\\) . It is well- known that, with 3 fixed points and a fixed cross- ratio, the fourth point is uniquely determined. This implies \\(X\\equiv X^{\\prime}\\) and we are done.\n\n\n![md5:127f8321db36b2798ee21466abe0664d](127f8321db36b2798ee21466abe0664d.jpeg)", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 3"}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "Same as in Solution 3, we prove that \\(H_{C}H_{A}\\parallel E D\\parallel l\\) , where \\(l\\) is the tangent to ( \\(B H P C\\) ) at \\(C\\) . Now define \\(L\\) as the intersection of \\(A H\\) and \\(D X\\) . Apply Desargues's theorem on triangles \\(\\triangle B H_{A}H_{C}\\) and \\(\\triangle X L C\\) . Since \\(L H_{A}\\) , \\(C H_{C}\\) and \\(B X\\) are concurrent at \\(H\\) , we obtain that the intersection of \\(B H_{C}\\) and \\(C X\\) which is \\(E\\) , the intersection of \\(B H_{A}\\) and \\(L X\\) which is \\(D\\) and the intersection of \\(L C\\) and \\(H_{A}H_{C}\\) are collinear. However, since \\(D E\\parallel H_{A}H_{C}\\) , \\(L C\\) is also parallel to these lines, therefore it coincides with the tangent and we are done.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 4"}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Balkan_MO", "problem": "Let \\(\\triangle ABC\\) be an acute- angled triangle with orthocentre \\(H\\) and let \\(D\\) be an arbitrary interior point on side \\(BC\\) . Suppose \\(E\\) and \\(F\\) are points on the segments \\(AB\\) and \\(AC\\) respectively such that the quadrilaterals \\(ABDF\\) and \\(ACDE\\) are cyclic, and let \\(BF\\) and \\(CE\\) intersect at \\(P\\) . Let \\(L\\) be the point of line \\(HA\\) such that \\(LC\\) is tangent to the circumcircle of triangle \\(\\triangle PBC\\) at point \\(C\\) . Let lines \\(BH\\) and \\(CP\\) intersect at \\(X\\) . Prove that \\(D, L\\) and \\(X\\) are collinear.", "solution": "Let \\(H_{A},H_{B},H_{C}\\) to be the feet of the altitudes. We again obtain that \\(B H C P\\) is cyclic and that \\(D E\\parallel L C\\) . We want to prove \\(L C,A H\\) and \\(D X\\) are concurrent. Applying Trigonometric Ceva's theorem to \\(\\triangle A E D\\) , we need to prove: \n\n\\[\\frac{\\sin\\angle A B H}{\\sin\\angle H B C}\\cdot \\frac{\\sin\\angle L D B}{\\sin\\angle L D E}\\cdot \\frac{\\sin\\angle C E D}{\\sin\\angle C E B} = \\frac{\\cos\\angle B A C}{\\cos\\angle A C B}\\cdot \\frac{\\sin\\angle L D C}{\\sin\\angle D L C}\\cdot \\frac{\\sin\\angle C A D}{\\sin\\angle A D B}.\\] \n\nFrom law of sines in \\(\\triangle A D C\\) and \\(\\triangle A D B\\) , the last expression is equal to: \n\n\\[\\frac{\\cos\\angle B A C}{\\cos\\angle A C B}\\cdot \\frac{L C}{C D}\\cdot \\frac{C D\\cdot\\sin\\angle A C B\\cdot A D}{A B\\cdot\\sin\\angle A B C\\cdot A D}.\\] \n\nHowever, \\(L S = \\frac{H_{A}C}{\\cos\\angle B A C} = \\frac{A C\\cdot\\cos\\angle A C B}{\\cos\\angle B A C}\\) and we get: \n\n\\[\\frac{\\cos B A C}{\\cos A C B}\\cdot \\frac{A C\\cdot\\cos A C B}{\\cos B A C}\\cdot \\frac{\\sin A C B}{A B\\cdot\\sin A B C} = 1.\\]", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 2.", "solution_match": "# Solution 5"}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Balkan_MO", "problem": "Find all functions \\(f: \\mathbb{R} \\to \\mathbb{R}\\) such that, for all real numbers \\(x\\) and \\(y\\), \n\n\\[f(x + y f(x)) + y = x y + f(x + y).\\]", "solution": ". \n\nLet \\(P(x,y)\\) denote the given relation. If there is an \\(a\\in \\mathbb{R}\\) such that \\(f(a) = 0\\) , then \\(P(a,y)\\) gives that \\(y = a y + f(a + y)\\) , and so \\(f\\) must be linear. Then we can easily check and get that the only linear solutions are \\(f(x) = x\\) and \\(f(x) = 2 - x\\) ( \\(x\\in \\mathbb{R}\\) ). \n\nNow suppose that \\(f(x)\\neq 0\\) for all real numbers \\(x\\) . From \\(P(x - y,y)\\) we get that: \n\n\\[f(x - y + y f(x - y)) = -y^{2} + y(x - 1) + f(x).\\] \n\nSince \\(f(t)\\neq 0\\) for all real numbers \\(t\\) , it follows that \\(- y^{2} + y(x - 1) + f(x)\\neq 0\\) for all real numbers \\(x,y\\) , and so, its discriminant (as a polynomial in \\(y\\) ) must be negative. That is, \\((x - 1)^{2} + 4f(x)< 0\\) , which gives us \n\n\\[f(x)< -\\frac{(x - 1)^{2}}{4}\\leqslant 0\\] \n\nfor all real numbers \\(x\\) . Since \\((x + 1)^{2}\\geqslant 0\\) implies that \\(- \\frac{(x - 1)^{2}}{4}\\leqslant x\\) , we see that \n\n\\[f(x)< -\\frac{(x - 1)^{2}}{4}\\leqslant x\\] \n\nfor all real numbers \\(x\\) . Now from \\(P(x,y)\\) for \\(y > 0\\) and \\(x\\in \\mathbb{R}\\) , we get that \n\n\\[x y - y + f(x + y) = f(x + y f(x))< x + y f(x)< x - y\\frac{(x - 1)^{2}}{4}\\] \n\nand so \n\n\\[f(x + y)< x + y - y(x + \\frac{(x - 1)^{2}}{4}) = x + y - y\\frac{(x + 1)^{2}}{4}.\\] \n\nSetting \\(x = - y\\) above, we get that: \n\n\\[f(0)< -y\\frac{(-y + 1)^{2}}{4}.\\] \n\nfor all positive real numbers \\(y\\) . Letting \\(y\\to +\\infty\\) above, we reach a contradiction. Hence, the only solutions in this functional equation are \\(f(x) = x\\) and \\(f(x) = 2 - x\\)", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 3.", "solution_match": "# Solution 1"}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Balkan_MO", "problem": "Find all functions \\(f: \\mathbb{R} \\to \\mathbb{R}\\) such that, for all real numbers \\(x\\) and \\(y\\), \n\n\\[f(x + y f(x)) + y = x y + f(x + y).\\]", "solution": ". \n\nLet \\(P(x,y)\\) denote the given relation. Similarly to the first solution, if a root exists ( \\(f(a) = 0\\) for any \\(a\\) ), we get that the function is linear and that the two solutions are \\(f(x) = x\\) and \\(f(x) = 2 - x\\) . Assertion \\(P(x,c - x)\\) gives us the following relation: \n\n\\[f(x + (c - x)f(x)) = (c - x)(x - 1) + f(c) = -x^{2} + (c + 1)x + (f(c) - c)\\] \n\nThe right hand side of the expression is a quadratic equation in \\(x\\) with the discriminant \\(\\Delta = \\Delta (c) = (c + 1)^{2} + 4(f(c) - c) = (c - 1)^{2} + 4f(c)\\) . Therefore, if there exists a \\(c\\) such that \\((c - 1)^{2} + 4f(c)\\geq 0\\) , the quadratic equation has a real solution which implies the existence of a root, in which case we are done. \n\nIf \\(f(1) = 0\\) , then we found a root and are done. If \\(f(1) = 1\\) , then by taking \\(c = 1\\) we obtain that \\(\\Delta (1) = 4\\) , implying the existence of a root. We now check the case when \\(f(1) = - 1\\) . From the assertion \\(P(1 - x,x)\\) , we obtain: \n\n\\[f(1 - x + x f(1 - x)) = -x^{2} - 1\\] \n\nPlugging in \\(x = 1\\) , in the above assertion, we obtain that \\(f(f(0)) = - 2\\) . Now plugging in \\(x = 1 - f(0)\\) in the above assertion we get that \\(f(f(0) + (1 - f(0))f(f(0))) = -(1 - f(0))^{2} - 1\\) , simplifying and utilizing \\(f(f(0)) = - 2\\) we obtain \\(f(3f(0) - 2) = - f(0)^{2} + 2f(0) - 2\\) . Note that if \\(f(0)\\geq 0\\) , we have that \\(\\Delta (0) = 1 + 4f(0) > 0\\) , implying the existence of a root, so assume that \\(f(0)< 0\\) . Now using \\(c = 3f(0) - 2\\) for our discriminant value, we obtain \\(\\Delta (3f(0) - 2) = (3f(0) - 3)^{2} + 4f(3f(0) - 2) = 9(f(0) - 1)^{2} + 4(- f(0)^{2} + 2f(0) - 2) =\\) \\(5f(0)^{2} - 10f(0) + 1 > 0\\) , implying the existence of a root, and resolving the case when \\(f(1) = - 1\\) \n\nNow assume that \\(f(1)\\notin \\{0,1, - 1\\}\\) . From \\(P(1,y)\\) , we obtain the relation that \\(f(1 + yf(1)) =\\) \\(f(1 + y)\\) . As \\(f(1)\\neq 0\\) , we can inductively show that \\(f(1 + yf(1)^{k}) = f(1 + y)\\) for all \\(k\\in \\mathbb{Z}\\) Since \\(f(1)\\notin \\{1, - 1\\}\\) , there exists an unbounded sequence \\(a_{n}\\) such that \\(f(a_{n})\\) is constant. Namely, one can take \\(a_{n} = 1 + f(1)^{2n}\\) if \\(|f(1)| > 1\\) , and \\(a_{n} = 1 + f(1)^{- 2n}\\) if \\(|f(1)|< 1\\) both times it holds that \\(f(a_{n}) = f(2)\\) . The value of the discriminant along this sequence is \\(\\Delta (a_{n}) = (a_{n} - 1)^{2} + 4f(a_{n}) = (a_{n} - 1)^{2} + 4f(2)\\) , and since \\(a_{n}\\) is unbounded this there exists \\(n\\) where the value of the discriminant is positive, yielding our root. This finishes the problem.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 3.", "solution_match": "# Solution 2"}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Balkan_MO", "problem": "Find all functions \\(f: \\mathbb{R} \\to \\mathbb{R}\\) such that, for all real numbers \\(x\\) and \\(y\\), \n\n\\[f(x + y f(x)) + y = x y + f(x + y).\\]", "solution": ". \n\nLet \\(P(x,y)\\) denote the given relation. As in the previous solutions, if a root exists, then we are done. From \\(P(1,y)\\) we obtain \\(f(1 + yc) = f(1 + y)\\) , where we have put \\(c = f(1)\\) . From the substitution \\(P(1 + x,y)\\) , we get: \n\n\\[f(1 + x + yf(1 + x)) + y = (1 + x)y + f(1 + x + y) \\quad (1)\\]\n\n\n\nSubstituting \\(P(1 + cx, cy)\\) instead, we obtain \n\n\\[f(1 + cx + cyf(1 + cx)) + cy = (1 + cx)cy + f(1 + cx + cy) \\quad (2)\\] \n\nNote that \n\n\\[f(1 + cx + cyf(1 + cx)) = f(1 + cx + cyf(1 + x)) = f(1 + c(x + yf(1 + x))) = f(1 + x + yf(1 + x))\\] \n\nand that \\(f(1 + cx + cy) = f(1 + c(x + y)) = f(1 + x + y)\\) . By subtracting (1) and (2) we obtain \\(c^{2}xy = xy\\) for all \\(x,y\\) , concluding that \\(c^{2} = 1\\) . From here, one can proceed in numerous ways (some of which have been highlighted in the previous solutions) to finish the problem.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 3.", "solution_match": "# Solution 3"}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Balkan_MO", "problem": "Find all functions \\(f: \\mathbb{R} \\to \\mathbb{R}\\) such that, for all real numbers \\(x\\) and \\(y\\), \n\n\\[f(x + y f(x)) + y = x y + f(x + y).\\]", "solution": ". (by Stefan Šebez) \n\nLet \\(P(x,y)\\) denote the given relation. Putting \\(P(0,x + y)\\) gives us: \n\n\\[f((x + y)f(0)) + x + y = 0 + f(x + y)\\] \n\nSubtracting this identity from the relation \\(P(x,y)\\) yields: \n\n\\[P(x + yf(x)) - P((x + y)f(0)) = xy + x\\] \n\nSuppose that \\(f(x)\\neq f(0)\\) for some \\(x\\in \\mathbf{R}\\) (thus in particular \\(x\\neq 0\\) ). Then letting \\(y\\) equal \\(x(f(0) - 1) / (f(x) - f(0))\\) makes the left- hand side vanish, so that \\(x(y + 1) = 0\\) and \\(y = - 1\\) We conclude that, for an arbitrary \\(x\\in \\mathbf{R}\\) , either \\(f(x) = f(0)\\) or \\(f(x) = x(1 - f(0)) + f(0)\\) Consider the values \\(f(x)\\) and \\(f(xf(0))\\) . They are related by \\(P(0,x)\\) .. \n\n\\[f(xf(0)) = f(x) - x\\] \n\nFix some \\(x\\neq 0\\) . Then, for this \\(x\\) , (at least) one of four possible cases holds: \n\nCase \\(f(x) = f(0)\\) and \\(f(xf(0)) = f(0)\\) \n\nCase \\(f(x) = f(0)\\) and \\(f(xf(0)) = xf(0)(1 - f(0)) + f(0)\\) \n\nCase \\(f(x) = x(1 - f(0)) + f(0)\\) and \\(f(xf(0)) = f(0)\\) \n\nCase \\(f(x) = x(1 - f(0)) + f(0)\\) and \\(f(xf(0)) = xf(0)(1 - f(0)) + f(0)\\) \n\nThe first case implies that \\(x = 0\\) , a contradiction. The second gives \\(f(0)^{2} - f(0) - 1 = 0\\) . The third gives \\(f(0) = 0\\) and the fourth \\(f(0)\\in \\{0,2\\}\\) . \n\nIt is now clear that \\(f(0) = 0\\) implies \\(f(x) = x\\) for all \\(x\\) , and that \\(f(0) = 2\\) implies \\(f(x) = 2 - x\\) for all \\(x\\) . We check that these two functions indeed satisfy the starting equation. If, on the other hand, \\(f(0)\\notin \\{0,2\\}\\) , then the second case holds for all \\(x\\neq 0\\) and hence \\(f(x) = f(0)\\) for all \\(x\\) . However, this is a contradiction with \\(P(0,x)\\) . Thus there are no more solutions.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 3.", "solution_match": "# Solution 4"}} -{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Balkan_MO", "problem": "There are \\(n\\) cities in a country, where \\(n \\geqslant 100\\) is an integer. Some pairs of cities are connected by direct (two- way) flights. For two cities \\(A\\) and \\(B\\) we define: \n\n- a path between \\(A\\) and \\(B\\) as a sequence of distinct cities \\(A = C_{0}, C_{1}, \\ldots , C_{k}, C_{k + 1} = B\\) , \\(k \\geqslant 0\\) , such that there are direct flights between \\(C_{i}\\) and \\(C_{i + 1}\\) for every \\(0 \\leqslant i \\leqslant k\\) ;- a long path between \\(A\\) and \\(B\\) as a path between \\(A\\) and \\(B\\) such that no other path between \\(A\\) and \\(B\\) has more cities;- a short path between \\(A\\) and \\(B\\) as a path between \\(A\\) and \\(B\\) such that no other path between \\(A\\) and \\(B\\) has fewer cities. \n\nAssume that for any pair of cities \\(A\\) and \\(B\\) in the country, there exist a long path and a short path between them that have no cities in common (except \\(A\\) and \\(B\\) ). Let \\(F\\) be the total number of pairs of cities in the country that are connected by direct flights. In terms of \\(n\\) , find all possible values of \\(F\\) .", "solution": "Use the obvious graph interpretation. We show that any such graph is one of the following: the full graph \\(K_{n}\\) , the circular graph \\(C_{n}\\) , and for \\(n\\) even, the bipartite graph \\(K_{\\frac{n}{2}, \\frac{n}{2}}\\) . First, we show that these graphs satisfy the condition. \n\n- For \\(K_{n}\\) , we can choose any long path and the short path is the edge.- For \\(C_{n}\\) , we have exactly two paths between any two vertices, and one of them has at most as many vertices as the other.- For \\(K_{\\frac{n}{2}, \\frac{n}{2}}\\) , if the vertices are on different sides, the short path is the edge. Otherwise, take any long path. We observe that it alternates between the sides and begins and ends on one side. Therefore, there is a vertex on the other side that doesn't appear in the long path. Additionally, there is a short path that passes through this vertex. \n\nNext, we show that only these graphs work for \\(n\\) large enough. \n\nThe graph is clearly connected, as any two vertices belong to a path. Consider a longest path in the graph. Let \\(p\\) be its length and denote the vertices in the path by \\(V_{1}, V_{2}, \\ldots , V_{p}\\) in the corresponding order. We can assume that this path is the long path between \\(V_{1}\\) and \\(V_{p}\\) that has a corresponding short path through other vertices. We show that the edge \\(V_{1} V_{p}\\) belongs to the graph. If the edge doesn't exist, the short path has length at least two, implying that there is a vertex \\(X\\) different from \\(V_{i}, i \\in \\{1, \\ldots , p\\}\\) such that there exists an edge from \\(V_{1}\\) to \\(X\\) . Then the path \\(X V_{1} V_{2} \\ldots V_{p}\\) has length \\(p + 1\\) , which gives a contradiction. \n\nNext we show that \\(p = n\\) , i.e. that the cycle \\(V_{1} \\ldots V_{p}\\) contains all the vertices. If there exists another vertex \\(A\\) connected with an edge to a vertex \\(V_{i}\\) , then the path \\(A V_{i} V_{i + 1} \\ldots V_{i - 1}\\) has length \\(p + 1\\) , which gives a contradiction. Since the graph is connected, the cycle contains all vertices.\n\n\n\nFor two vertices of the graph, we say that they have distance \\(r\\) if there are exactly \\(r - 1\\) vertices between them on a side of the cycle. Observe that they also have distance \\(n - r\\) . \n\nIf we relabel the vertices by \\(A_{1},A_{2},\\ldots ,A_{n}\\) in such a way that we know the graph has \\(n - 1\\) of the edges \\(A_{i}A_{i + 1},i\\in \\{1,\\ldots ,n\\}\\) (where \\(A_{n + 1} = A_{1}\\) ), then it also has the last one. This is shown same as before. \n\nNext, we show that if we have an edge between \\(V_{i}\\) and \\(V_{j}\\) , then we also have an edge between \\(V_{i + 1}\\) and \\(V_{j + 1}\\) . Assume \\(i< j\\) . Consider the path \n\n\\[V_{i + 1}V_{i + 2}\\ldots V_{j}V_{i}V_{i - 1}\\ldots V_{j + 1}\\] \n\n![](data:image/jpeg;base64,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)\n \n\nof length \\(n\\) . As before, we conclude that there is an edge between \\(V_{i + 1}\\) and \\(V_{j + 1}\\) . Repeating this, we get that if we have an edge between two vertices at distance \\(r\\) , then we have edges between any two vertices at distance \\(r\\) . \n\nDefine \\(S\\) as the set of numbers \\(1\\leqslant r\\leqslant n - 1\\) such that the graph has the edges of distance \\(r\\) . Note that \\(1,n - 1\\in S\\) . \n\nFor positive integers \\(a\\) and \\(b\\) with \\(a + b\\leqslant n - 1\\) , consider the ordering \n\n\\[V_{1},V_{a + b},V_{a + b - 1},\\ldots ,V_{a + 1},V_{a + b + 1},V_{a + b + 2},\\ldots ,V_{n},V_{a},V_{a - 1},\\ldots ,V_{1}.\\] \n\n![](data:image/jpeg;base64,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)\n \n\nThe distance between two consecutive vertices in this ordering is \\(1,a,b\\) or \\(a + b - 1\\) . This implies that if two numbers from the multiset \\(\\{a,b,a + b - 1\\}\\) belong to \\(S\\) , so does the third one. Now, if \\(2\\in S\\) , we take \\(b = 2\\) and easily get that that \\(S\\) contains any number from 1 to \\(n - 1\\) . This gives us the solution \\(K_{n}\\) .\n\n\n\nAssume now \\(2 \\notin S\\) . This implies that we do not have two consecutive numbers smaller than \\(n - 2\\) in \\(S\\) . But as \\(2 \\notin S\\) , we also have \\(n - 2 \\notin S\\) , so \\(S\\) doesn’t contain two consecutive integers. \n\nIf \\(S = \\{1, n - 1\\}\\) , we get the solution \\(C_{n}\\) . Otherwise, there exists \\(t \\in S\\) such that \\(3 \\leqslant t \\leqslant n - 3\\) . Consider the path \n\n\\[V_{t}V_{t - 1}\\ldots V_{2}V_{t + 2}V_{t + 1}V_{1}V_{n}\\ldots V_{t + 3}\\] \n\nof length \\(n\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nSame as before, we get that there is an edge between \\(V_{t}\\) and \\(V_{t + 3}\\) . Therefore, we have \\(3 \\in S\\) . Now, taking \\(b = 3\\) , we get that any odd number smaller than or equal to \\(n - 1\\) lies in \\(S\\) . Since we assumed \\(S\\) doesn’t contain consecutive integers, we get that \\(n\\) is even and \\(S = \\{1 \\leqslant i \\leqslant n - 1 | i \\text{odd}\\}\\) . This gives us the solution \\(K_{\\frac{n}{2}, \\frac{n}{2}}\\) . \n\nFinally, the number of edges can be \\(n\\) , \\(\\frac{n(n - 1)}{2}\\) , and if \\(n\\) is even it can also be \\(\\frac{n^{2}}{4}\\) . \n\nRemark: Even if \\(n\\) is not big enough, we still characterize all such graphs similarly. The condition was added as at some point we choose a number \\(t\\) between 3 and \\(n - 3\\) , and this wouldn’t make sense for small \\(n\\) and we would need to quickly discuss why those cases also have the same graphs.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 4.", "solution_match": "# Solution "}} +{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Balkan_MO", "problem": "There are \\(n\\) cities in a country, where \\(n \\geqslant 100\\) is an integer. Some pairs of cities are connected by direct (two- way) flights. For two cities \\(A\\) and \\(B\\) we define: \n\n- a path between \\(A\\) and \\(B\\) as a sequence of distinct cities \\(A = C_{0}, C_{1}, \\ldots , C_{k}, C_{k + 1} = B\\) , \\(k \\geqslant 0\\) , such that there are direct flights between \\(C_{i}\\) and \\(C_{i + 1}\\) for every \\(0 \\leqslant i \\leqslant k\\) ;- a long path between \\(A\\) and \\(B\\) as a path between \\(A\\) and \\(B\\) such that no other path between \\(A\\) and \\(B\\) has more cities;- a short path between \\(A\\) and \\(B\\) as a path between \\(A\\) and \\(B\\) such that no other path between \\(A\\) and \\(B\\) has fewer cities. \n\nAssume that for any pair of cities \\(A\\) and \\(B\\) in the country, there exist a long path and a short path between them that have no cities in common (except \\(A\\) and \\(B\\) ). Let \\(F\\) be the total number of pairs of cities in the country that are connected by direct flights. In terms of \\(n\\) , find all possible values of \\(F\\) .", "solution": "Use the obvious graph interpretation. We show that any such graph is one of the following: the full graph \\(K_{n}\\) , the circular graph \\(C_{n}\\) , and for \\(n\\) even, the bipartite graph \\(K_{\\frac{n}{2}, \\frac{n}{2}}\\) . First, we show that these graphs satisfy the condition. \n\n- For \\(K_{n}\\) , we can choose any long path and the short path is the edge.- For \\(C_{n}\\) , we have exactly two paths between any two vertices, and one of them has at most as many vertices as the other.- For \\(K_{\\frac{n}{2}, \\frac{n}{2}}\\) , if the vertices are on different sides, the short path is the edge. Otherwise, take any long path. We observe that it alternates between the sides and begins and ends on one side. Therefore, there is a vertex on the other side that doesn't appear in the long path. Additionally, there is a short path that passes through this vertex. \n\nNext, we show that only these graphs work for \\(n\\) large enough. \n\nThe graph is clearly connected, as any two vertices belong to a path. Consider a longest path in the graph. Let \\(p\\) be its length and denote the vertices in the path by \\(V_{1}, V_{2}, \\ldots , V_{p}\\) in the corresponding order. We can assume that this path is the long path between \\(V_{1}\\) and \\(V_{p}\\) that has a corresponding short path through other vertices. We show that the edge \\(V_{1} V_{p}\\) belongs to the graph. If the edge doesn't exist, the short path has length at least two, implying that there is a vertex \\(X\\) different from \\(V_{i}, i \\in \\{1, \\ldots , p\\}\\) such that there exists an edge from \\(V_{1}\\) to \\(X\\) . Then the path \\(X V_{1} V_{2} \\ldots V_{p}\\) has length \\(p + 1\\) , which gives a contradiction. \n\nNext we show that \\(p = n\\) , i.e. that the cycle \\(V_{1} \\ldots V_{p}\\) contains all the vertices. If there exists another vertex \\(A\\) connected with an edge to a vertex \\(V_{i}\\) , then the path \\(A V_{i} V_{i + 1} \\ldots V_{i - 1}\\) has length \\(p + 1\\) , which gives a contradiction. Since the graph is connected, the cycle contains all vertices.\n\n\n\nFor two vertices of the graph, we say that they have distance \\(r\\) if there are exactly \\(r - 1\\) vertices between them on a side of the cycle. Observe that they also have distance \\(n - r\\) . \n\nIf we relabel the vertices by \\(A_{1},A_{2},\\ldots ,A_{n}\\) in such a way that we know the graph has \\(n - 1\\) of the edges \\(A_{i}A_{i + 1},i\\in \\{1,\\ldots ,n\\}\\) (where \\(A_{n + 1} = A_{1}\\) ), then it also has the last one. This is shown same as before. \n\nNext, we show that if we have an edge between \\(V_{i}\\) and \\(V_{j}\\) , then we also have an edge between \\(V_{i + 1}\\) and \\(V_{j + 1}\\) . Assume \\(i< j\\) . Consider the path \n\n\\[V_{i + 1}V_{i + 2}\\ldots V_{j}V_{i}V_{i - 1}\\ldots V_{j + 1}\\] \n\n![md5:9316dac12bfa4d6097c691f6a5d17473](9316dac12bfa4d6097c691f6a5d17473.jpeg)\n \n\nof length \\(n\\) . As before, we conclude that there is an edge between \\(V_{i + 1}\\) and \\(V_{j + 1}\\) . Repeating this, we get that if we have an edge between two vertices at distance \\(r\\) , then we have edges between any two vertices at distance \\(r\\) . \n\nDefine \\(S\\) as the set of numbers \\(1\\leqslant r\\leqslant n - 1\\) such that the graph has the edges of distance \\(r\\) . Note that \\(1,n - 1\\in S\\) . \n\nFor positive integers \\(a\\) and \\(b\\) with \\(a + b\\leqslant n - 1\\) , consider the ordering \n\n\\[V_{1},V_{a + b},V_{a + b - 1},\\ldots ,V_{a + 1},V_{a + b + 1},V_{a + b + 2},\\ldots ,V_{n},V_{a},V_{a - 1},\\ldots ,V_{1}.\\] \n\n![md5:1c7eeed50d3d340ad16701f09e012735](1c7eeed50d3d340ad16701f09e012735.jpeg)\n \n\nThe distance between two consecutive vertices in this ordering is \\(1,a,b\\) or \\(a + b - 1\\) . This implies that if two numbers from the multiset \\(\\{a,b,a + b - 1\\}\\) belong to \\(S\\) , so does the third one. Now, if \\(2\\in S\\) , we take \\(b = 2\\) and easily get that that \\(S\\) contains any number from 1 to \\(n - 1\\) . This gives us the solution \\(K_{n}\\) .\n\n\n\nAssume now \\(2 \\notin S\\) . This implies that we do not have two consecutive numbers smaller than \\(n - 2\\) in \\(S\\) . But as \\(2 \\notin S\\) , we also have \\(n - 2 \\notin S\\) , so \\(S\\) doesn’t contain two consecutive integers. \n\nIf \\(S = \\{1, n - 1\\}\\) , we get the solution \\(C_{n}\\) . Otherwise, there exists \\(t \\in S\\) such that \\(3 \\leqslant t \\leqslant n - 3\\) . Consider the path \n\n\\[V_{t}V_{t - 1}\\ldots V_{2}V_{t + 2}V_{t + 1}V_{1}V_{n}\\ldots V_{t + 3}\\] \n\nof length \\(n\\) . \n\n![md5:9f113990806516ca18631ddb7848f20b](9f113990806516ca18631ddb7848f20b.jpeg)\n \n\nSame as before, we get that there is an edge between \\(V_{t}\\) and \\(V_{t + 3}\\) . Therefore, we have \\(3 \\in S\\) . Now, taking \\(b = 3\\) , we get that any odd number smaller than or equal to \\(n - 1\\) lies in \\(S\\) . Since we assumed \\(S\\) doesn’t contain consecutive integers, we get that \\(n\\) is even and \\(S = \\{1 \\leqslant i \\leqslant n - 1 | i \\text{odd}\\}\\) . This gives us the solution \\(K_{\\frac{n}{2}, \\frac{n}{2}}\\) . \n\nFinally, the number of edges can be \\(n\\) , \\(\\frac{n(n - 1)}{2}\\) , and if \\(n\\) is even it can also be \\(\\frac{n^{2}}{4}\\) . \n\nRemark: Even if \\(n\\) is not big enough, we still characterize all such graphs similarly. The condition was added as at some point we choose a number \\(t\\) between 3 and \\(n - 3\\) , and this wouldn’t make sense for small \\(n\\) and we would need to quickly discuss why those cases also have the same graphs.", "metadata": {"resource_path": "Balkan_MO/segmented/en-2025-BMO-type1.jsonl", "problem_match": "\nProblem 4.", "solution_match": "# Solution "}} diff --git a/Benelux_MO/md/Benelux_en-olympiad_en-bxmo-problems-2025-zz.md b/Benelux_MO/md/Benelux_en-olympiad_en-bxmo-problems-2025-zz.md index 73503acaded7c64f01c11a266ca92b47afee6df7..df9fd7c55af7996e1e2bc75db598ac82b0ced693 100644 --- a/Benelux_MO/md/Benelux_en-olympiad_en-bxmo-problems-2025-zz.md +++ b/Benelux_MO/md/Benelux_en-olympiad_en-bxmo-problems-2025-zz.md @@ -41,7 +41,7 @@ Problem 3. Let \(ABC\) be a triangle with incentre \(I\) and circumcircle \(\Ome Solution. -![](data:image/jpeg;base64,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) +![md5:d14dd1862fb4203939e0d6205db6acd1](d14dd1862fb4203939e0d6205db6acd1.jpeg) By definition of \(D\) , \(E\) and \(F\) , we know that \(ID, IE\) and \(IF\) are the angle bisectors of \(ABC\) . Using angles in \(\Omega\) , we can compute @@ -55,7 +55,7 @@ proving that \(D'E\parallel FI\) . Moreover, we can also compute proving that \(EI\parallel D'F\) . Therefore, \(ED'FI\) is a parallelogram and its diagonals intersect in their midpoints, proving that \(D'I\) contains \(M\) . -![](data:image/jpeg;base64,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) +![md5:73802dca505acac2aa04c222c26f1437](73802dca505acac2aa04c222c26f1437.jpeg) Alternative Solution. By definition of \(D, E\) and \(F\) , we know that \(ID, IE\) and \(IF\) are the angle bisectors of \(ABC\) . If \(D' = A\) , this means that \(\overrightarrow{OAB} = 90^\circ - \overrightarrow{ACB} = \frac{\overrightarrow{CAB}}{2}\) and \(ABC\) is isosceles in \(A\) . In that case, the symmetry with respect to \(AI\) sends \(E\) to \(F\) and so \(M \in AI\) . We can thus suppose that \(D' \neq A\) . diff --git a/Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl b/Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl index eb2f997d848f2056fbacb0c10452b8a05afcca32..c23747c8aada9e822b38ae8e9770d5b5046903da 100644 --- a/Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl +++ b/Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl @@ -1,7 +1,7 @@ {"year": "2025", "tier": "T3", "problem_label": "1", "problem_type": null, "exam": "Benelux_MO", "problem": "Does there exist a function \\(f\\colon \\mathbb{R}\\to \\mathbb{R}\\) such that \n\n\\[f\\big(x^{2} + f(y)\\big) = f(x)^{2} - y\\] \n\nfor all \\(x,y\\in \\mathbb{R}?\\)", "solution": "There does not exist such a function. Let us suppose by contradiction it does. By substituting \\(x\\gets 0\\) , we get \n\n\\[f(f(y)) = f(0)^{2} - y\\] \n\nfor all \\(y\\in \\mathbb{R}\\) . Since the right- hand side is bijective, this implies that \\(f\\) is also bijective. Taking \\(y\\gets 0\\) we get \n\n\\[f\\big(x^{2} + f(0)\\big) = f(x)^{2}\\] \n\nfor all \\(x\\in \\mathbb{R}\\) and so \\(f(- x)^{2} = f(x^{2} + f(0)) = f(x)^{2}\\) . Since \\(f\\) is injective, we get \\(f(- x) = - f(x)\\) for all \\(x\\neq 0\\) . Since \\(f\\) is a surjection, there exists \\(r\\in \\mathbb{R}\\) such that \\(f(r) = 0\\) . If \\(r\\neq 0\\) , \\(f(- r) = - f(r) = 0 = f(r)\\) contradicting the fact that \\(f\\) is injective. So \\(r = 0\\) and \\(f(0) = 0\\) . Substituting \\((x,y)\\gets (1,0)\\) yields \\(f(1) = f(1)^{2}\\) and so \\(f(1) = 1\\) since \\(f(0) = 0\\) and \\(f\\) is injective. Taking \\((x,y)\\gets (0,1)\\) , we finally get \\(1 = f(f(1)) = - 1\\) which is the desired contradiction.", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 1.", "solution_match": "\nSolution."}} {"year": "2025", "tier": "T3", "problem_label": "1", "problem_type": null, "exam": "Benelux_MO", "problem": "Does there exist a function \\(f\\colon \\mathbb{R}\\to \\mathbb{R}\\) such that \n\n\\[f\\big(x^{2} + f(y)\\big) = f(x)^{2} - y\\] \n\nfor all \\(x,y\\in \\mathbb{R}?\\)", "solution": "We observe that, for all \\(y,z\\in \\mathbb{R}\\) , we have \n\n\\[z\\geqslant f(y)\\Longrightarrow f(z)\\geq -y.\\] \n\nIndeed, we can take \\(x = \\sqrt{z - f(y)}\\) and get \\(f(z) = f(x)^{2} - y\\geq - y\\) . We deduce that \\(\\lim_{z\\to +\\infty}f(z) =\\) \\(+\\infty\\) . Indeed, for any \\(K\\in \\mathbb{R}\\) , we have \\(z\\geqslant f(- K)\\Longrightarrow f(z)\\geqslant K\\) \n\nLet us now fix \\(x\\) , and let \\(y\\to +\\infty\\) . We have \\(x^{2} + f(y)\\to +\\infty\\) , hence \\(f(x^{2} + f(y))\\to +\\infty\\) . On the other side, we have \\(f(x)^{2} - y\\to -\\infty\\) , a contradiction.", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 1.", "solution_match": "\nAlternative Solution."}} {"year": "2025", "tier": "T3", "problem_label": "2", "problem_type": null, "exam": "Benelux_MO", "problem": "Let \\(N \\geq 2\\) be a natural number. At a mathematical olympiad training camp, the same \\(N\\) courses are organised every day. Each student takes exactly one of the \\(N\\) courses each day. At the end of the camp, every student has taken each course exactly once, and any two students took the same course on at least one day, but took different courses on at least one other day. What is, in terms of \\(N\\) , the largest possible number of students at the camp?", "solution": "The largest number of students at the camp is \\((N - 1)!\\) . Since each student takes exactly one course each day and, at the end, has taken each course exactly once, the schedule of a student can be represented by a permutation of the set of the \\(N\\) courses. To show that \\((N - 1)!\\) is possible, we can e.g. assign to each of the \\((N - 1)!\\) students a unique permutation of the \\(N - 1\\) first courses and making them all take the \\(N\\) - th course on the last day. It is easy to observe that such a construction satisfies the properties of the statement. \n\nTo prove that, for a set \\(S\\) of students, one has \\(|S| \\leq (N - 1)!\\) , one first subdivides the set of permutations into disjoint subsets of size \\(N\\) . Two permutations are said to be in the same subset if and only if one can be obtained from the other by cyclically permute the order of the course. Clearly, this is a well- defined subdivision since cyclically permuting twice the order of the courses can be obtained by cyclically permute them only once. Moreover, each of these subsets contains exactly \\(N\\) permutations since there are \\(N\\) cycles of length \\(N\\) . There are thus \\(\\frac{N!}{N} = (N - 1)!\\) such subsets. If \\(|S| > (N - 1)!\\) , two students will have their associated permutations in the same subset. However, they cannot be the same permutation (otherwise the two students took the same course every day), and they cannot be obtained by a non- trivial cyclic permutation from each other (otherwise the two students never took the same course).", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 2.", "solution_match": "\nSolution."}} -{"year": "2025", "tier": "T3", "problem_label": "3", "problem_type": null, "exam": "Benelux_MO", "problem": "Let \\(ABC\\) be a triangle with incentre \\(I\\) and circumcircle \\(\\Omega\\) . Let \\(D, E, F\\) be the midpoints of the arcs \\(\\overline{BC}, \\overline{CA}, \\overline{AB}\\) of \\(\\Omega\\) not containing \\(A, B, C\\) , respectively. Let \\(D'\\) be the point of \\(\\Omega\\) diametrically opposite to \\(D\\) . Show that \\(I, D'\\) , and the midpoint \\(M\\) of \\([EF]\\) lie on a line.", "solution": "![](data:image/jpeg;base64,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)\n \n\nBy definition of \\(D\\) , \\(E\\) and \\(F\\) , we know that \\(ID, IE\\) and \\(IF\\) are the angle bisectors of \\(ABC\\) . Using angles in \\(\\Omega\\) , we can compute \n\n\\[\\overline{EFI} = \\overline{EFC} = \\overline{EBC} = \\frac{\\overline{ABC}}{2} = 90^{\\circ} - \\frac{\\overline{ACB}}{2} - \\frac{\\overline{BAC}}{2}\\] \\[\\qquad = 90^{\\circ} - \\overline{FCB} - \\overline{BAD} = 90^{\\circ} - \\overline{FEB} - \\overline{BED} = 90^{\\circ} - \\overline{FED} = \\overline{D'EF}\\] \n\nproving that \\(D'E\\parallel FI\\) . Moreover, we can also compute \n\n\\[\\overline{FEI} = \\overline{FEB} = \\overline{FCB} = \\frac{\\overline{ACB}}{2} = 90^{\\circ} - \\frac{\\overline{ABC}}{2} - \\frac{\\overline{CAB}}{2}\\] \\[\\qquad = 90^{\\circ} - \\overline{EB} - \\overline{CAD} = 90^{\\circ} - \\overline{EFC} - \\overline{CFD} = 90^{\\circ} - \\overline{EFD} = \\overline{D'FE}\\] \n\nproving that \\(EI\\parallel D'F\\) . Therefore, \\(ED'FI\\) is a parallelogram and its diagonals intersect in their midpoints, proving that \\(D'I\\) contains \\(M\\) .\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 3.", "solution_match": "\nSolution."}} +{"year": "2025", "tier": "T3", "problem_label": "3", "problem_type": null, "exam": "Benelux_MO", "problem": "Let \\(ABC\\) be a triangle with incentre \\(I\\) and circumcircle \\(\\Omega\\) . Let \\(D, E, F\\) be the midpoints of the arcs \\(\\overline{BC}, \\overline{CA}, \\overline{AB}\\) of \\(\\Omega\\) not containing \\(A, B, C\\) , respectively. Let \\(D'\\) be the point of \\(\\Omega\\) diametrically opposite to \\(D\\) . Show that \\(I, D'\\) , and the midpoint \\(M\\) of \\([EF]\\) lie on a line.", "solution": "![md5:d14dd1862fb4203939e0d6205db6acd1](d14dd1862fb4203939e0d6205db6acd1.jpeg)\n \n\nBy definition of \\(D\\) , \\(E\\) and \\(F\\) , we know that \\(ID, IE\\) and \\(IF\\) are the angle bisectors of \\(ABC\\) . Using angles in \\(\\Omega\\) , we can compute \n\n\\[\\overline{EFI} = \\overline{EFC} = \\overline{EBC} = \\frac{\\overline{ABC}}{2} = 90^{\\circ} - \\frac{\\overline{ACB}}{2} - \\frac{\\overline{BAC}}{2}\\] \\[\\qquad = 90^{\\circ} - \\overline{FCB} - \\overline{BAD} = 90^{\\circ} - \\overline{FEB} - \\overline{BED} = 90^{\\circ} - \\overline{FED} = \\overline{D'EF}\\] \n\nproving that \\(D'E\\parallel FI\\) . Moreover, we can also compute \n\n\\[\\overline{FEI} = \\overline{FEB} = \\overline{FCB} = \\frac{\\overline{ACB}}{2} = 90^{\\circ} - \\frac{\\overline{ABC}}{2} - \\frac{\\overline{CAB}}{2}\\] \\[\\qquad = 90^{\\circ} - \\overline{EB} - \\overline{CAD} = 90^{\\circ} - \\overline{EFC} - \\overline{CFD} = 90^{\\circ} - \\overline{EFD} = \\overline{D'FE}\\] \n\nproving that \\(EI\\parallel D'F\\) . Therefore, \\(ED'FI\\) is a parallelogram and its diagonals intersect in their midpoints, proving that \\(D'I\\) contains \\(M\\) .\n\n\n![md5:73802dca505acac2aa04c222c26f1437](73802dca505acac2aa04c222c26f1437.jpeg)", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 3.", "solution_match": "\nSolution."}} {"year": "2025", "tier": "T3", "problem_label": "3", "problem_type": null, "exam": "Benelux_MO", "problem": "Let \\(ABC\\) be a triangle with incentre \\(I\\) and circumcircle \\(\\Omega\\) . Let \\(D, E, F\\) be the midpoints of the arcs \\(\\overline{BC}, \\overline{CA}, \\overline{AB}\\) of \\(\\Omega\\) not containing \\(A, B, C\\) , respectively. Let \\(D'\\) be the point of \\(\\Omega\\) diametrically opposite to \\(D\\) . Show that \\(I, D'\\) , and the midpoint \\(M\\) of \\([EF]\\) lie on a line.", "solution": "By definition of \\(D, E\\) and \\(F\\) , we know that \\(ID, IE\\) and \\(IF\\) are the angle bisectors of \\(ABC\\) . If \\(D' = A\\) , this means that \\(\\overrightarrow{OAB} = 90^\\circ - \\overrightarrow{ACB} = \\frac{\\overrightarrow{CAB}}{2}\\) and \\(ABC\\) is isosceles in \\(A\\) . In that case, the symmetry with respect to \\(AI\\) sends \\(E\\) to \\(F\\) and so \\(M \\in AI\\) . We can thus suppose that \\(D' \\neq A\\) . \n\nLet us consider \\(I_A, I_B\\) and \\(I_C\\) the excenters of \\(ABC\\) . The lines \\(I_B AI_C, I_C BI_A\\) and \\(I_A CI_B\\) are thus the exterior bisectors of the triangle. Hence, \\(I_B IC \\perp AI_A\\) and, since \\(\\overrightarrow{D'AD} = 90^\\circ\\) , one has \\(D' \\in I_B IC\\) . In the triangle \\(I_A I_B IC\\) , the points \\(A, B\\) and \\(C\\) are the feet of the heights and \\(\\Omega\\) is thus the Euler circle of \\(I_A I_B IC\\) . Since \\(D' \\in [I_B IC] \\cap \\Omega\\) and \\(D' \\neq A\\) , it is the midpoint of \\([I_B IC]\\) . Moreover, \\(E\\) and \\(F\\) , being on the Euler circle and the heights, there are the midpoints of \\([I_B I]\\) and \\([IC I]\\) respectively. The homothety of centre \\(I\\) and ratio \\(\\frac{1}{2}\\) sends \\(I_B\\) on \\(E\\) and \\(IC\\) on \\(F\\) . It thus also sends \\(D'\\) on \\(M\\) , proving that \\(D', M\\) and \\(I\\) are collinear.", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 3.", "solution_match": "\nAlternative Solution."}} {"year": "2025", "tier": "T3", "problem_label": "4", "problem_type": null, "exam": "Benelux_MO", "problem": "Let \\(a_{0},a_{1},\\ldots ,a_{10}\\) be integers such that, for each \\(i\\in \\{0,1,\\ldots ,2047\\}\\) , there exists a subset \\(S\\subseteq \\{0,1,\\ldots ,10\\}\\) with \n\n\\[\\sum_{j\\in S}a_{j}\\equiv i\\pmod {2048}.\\] \n\nShow that for each \\(i\\in \\{0,1,\\ldots ,10\\}\\) , there is exactly one \\(j\\in \\{0,1,\\ldots ,10\\}\\) such that \\(a_{j}\\) is divisible by \\(2^{i}\\) but not by \\(2^{i + 1}\\) . \n\nNote: \\(\\sum_{j\\in S}a_{j}\\) is the summation notation, for instance, \\(\\sum_{j\\in \\{2,5\\}}a_{j} = a_{2} + a_{5}\\) , while, for the empty set \\(\\varnothing\\) , one defines \\(\\sum_{j\\in \\varnothing}a_{j} = 0\\) .", "solution": "We denote by \\(\\nu_{2}(a)\\) the valuation 2- adic of the integer \\(a\\) . Let us prove by induction the more general statement that, for \\(n\\in \\mathbb{N}_{>0}\\) , if \\(a_{0},a_{1},\\ldots ,a_{n - 1}\\) are integers such that, for each \\(i\\in \\{0,1,\\ldots ,2^{n} - 1\\}\\) , there exists a subset \\(S\\subseteq \\{0,1,\\ldots ,n - 1\\}\\) with \\(\\sum_{j\\in S}a_{j}\\equiv i\\) (mod \\(2^{n}\\) ), then, for each \\(i\\in \\{0,1,\\ldots ,n - 1\\}\\) , there is exactly one \\(j\\in \\{0,1,\\ldots ,n - 1\\}\\) such that \\(\\nu_{2}(a_{j}) = i\\) . The result then follows by setting \\(n = 11\\) . The case \\(n = 1\\) is trivial. \n\nWe suppose by induction that the result is true for \\(n - 1\\) for prove it for \\(n\\geq 2\\) . Let us first notice that, since there are \\(2^{n}\\) elements in \\(\\{0,1,\\ldots ,2^{n} - 1\\}\\) and \\(2^{n}\\) subsets of \\(\\{0,1,\\ldots ,n - 1\\}\\) , for each \\(i\\in\\) \\(\\{0,1,\\ldots ,2^{n} - 1\\}\\) , there exists exactly one \\(S_{i}\\subseteq \\{0,1,\\ldots ,n - 1\\}\\) such that \\(\\sum_{j\\in S_{i}}a_{j}\\equiv i\\) (mod \\(2^{n}\\) ). By summing all these sums for all \\(i\\) , we obtain \n\n\\[\\sum_{i = 0}^{2^{n} - 1}\\sum_{j\\in S_{i}}a_{j}\\equiv \\sum_{i = 0}^{2^{n} - 1}i = \\frac{2^{n}\\cdot(2^{n} - 1)}{2} = 2^{n - 1}\\cdot (2^{n} - 1)\\pmod {2^{n}}.\\] \n\nFor a fixed \\(j\\in \\{0,1,\\ldots ,n - 1\\}\\) , \\(a_{j}\\) appears in exactly \\(2^{n - 1}\\) of these sums (since each of the \\(n - 1\\) remaining indices may or may not be in \\(S_{i}\\) ). Therefore, \n\n\\[2^{n - 1}\\cdot \\sum_{j = 0}^{n - 1}a_{j} = \\sum_{i = 0}^{2^{n} - 1}\\sum_{j\\in S_{i}}a_{j}\\equiv 2^{n - 1}\\cdot (2^{n} - 1)\\pmod {2^{n}}\\] \n\nwhich is equivalent to \n\n\\[\\sum_{j = 0}^{n - 1}a_{j}\\equiv 2^{n} - 1\\equiv 1\\pmod {2}.\\] \n\nSince \\(\\sum_{j = 0}^{n - 1}a_{j}\\) is odd, at least one of the \\(a_{j}\\) 's is odd. \n\nLet us suppose by contradiction that at least two of them are odd. We now sum all the \\(\\sum_{j\\in S_{i}}a_{j}\\) for which \\(\\sum_{j\\in S_{i}}a_{j}\\) (or, equivalently, \\(i\\) ) is even: \n\n\\[\\sum_{i\\in \\{0,\\ldots ,2^{n} - 1\\}}\\sum_{j\\in S_{i}}a_{j}\\equiv \\sum_{i\\in \\{0,\\ldots ,2^{n} - 1\\}}i = 2^{n - 1}\\cdot (2^{n - 1} - 1)\\pmod {2^{n}}\\] \n\nFor a fixed \\(j\\in \\{0,1,\\ldots ,n - 1\\}\\) , \\(a_{j}\\) appears in exactly \\(2^{n - 2}\\) of these sums. Indeed, since there is at least one \\(k\\in \\{0,1,\\ldots ,n - 1\\} \\backslash \\{j\\}\\) such that \\(a_{k}\\) is odd, one can consider any \\(S\\subseteq \\{0,1,\\ldots ,n - 1\\} \\backslash \\{j,k\\}\\) , add \\(j\\) to it, and potentially also \\(k\\) in order to make the partial sum even (exactly one possibility for each such \\(S\\) ). Therefore, \n\n\\[2^{n - 2}\\cdot \\sum_{j = 0}^{n - 1}a_{j} = \\sum_{i\\in \\{0,\\ldots ,2^{n} - 1\\}}\\sum_{j\\in S_{i}}a_{j}\\equiv 2^{n - 1}\\cdot (2^{n - 1} - 1)\\pmod {2^{n}}\\]\n\n\n\nor equivalently \n\n\\[\\sum_{j = 0}^{n - 1}a_{j}\\equiv 2\\cdot (2^{n - 1} - 1)\\pmod {4}.\\] \n\nHence \\(\\sum_{j = 0}^{n - 1}a_{j}\\) is even, which is a contradiction. Therefore, there is exactly one \\(k\\in \\{0,1,\\ldots ,n - 1\\}\\) such that \\(a_{k}\\) is odd. \n\nA sum \\(\\sum_{j\\in S}a_{j}\\) is odd if and only if \\(k\\in S\\) . Moreover, the sums \\(\\sum_{j\\in S}a_{j}\\) for which \\(k\\notin S\\) cover all the even numbers modulo \\(2^{n}\\) . Thus, omitting \\(a_{k}\\) , the \\(n - 1\\) integers \\(\\frac{a_{0}}{2},\\ldots ,\\frac{a_{n - 1}}{2}\\) satisfy the condition of the statement. By the induction hypothesis, for each \\(i\\in \\{0,1,\\ldots ,n - 2\\}\\) , there is exactly one \\(j\\in \\{0,1,\\ldots ,n - 1\\} \\backslash \\{k\\}\\) such that \\(\\nu_{2}\\left(\\frac{a_{j}}{2}\\right) = i\\) , i.e., \\(\\nu_{2}(a_{j}) = i + 1\\) . Since \\(\\nu_{2}(a_{k}) = 0\\) , this concludes the proof. \n\nRemark: If one considers the sum of all \\(\\sum_{j\\in S_{i}}a_{j}\\) such that \\(i\\) is odd, one obtains, in the case where at least two \\(a_{i}\\) 's are odd, that \\(2^{n - 2}\\cdot \\sum_{j = 0}^{n - 1}a_{j}\\equiv 0\\) (mod \\(2^{n}\\) ) also reaching a contradiction.", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 4.", "solution_match": "\nSolution."}} {"year": "2025", "tier": "T3", "problem_label": "4", "problem_type": null, "exam": "Benelux_MO", "problem": "Let \\(a_{0},a_{1},\\ldots ,a_{10}\\) be integers such that, for each \\(i\\in \\{0,1,\\ldots ,2047\\}\\) , there exists a subset \\(S\\subseteq \\{0,1,\\ldots ,10\\}\\) with \n\n\\[\\sum_{j\\in S}a_{j}\\equiv i\\pmod {2048}.\\] \n\nShow that for each \\(i\\in \\{0,1,\\ldots ,10\\}\\) , there is exactly one \\(j\\in \\{0,1,\\ldots ,10\\}\\) such that \\(a_{j}\\) is divisible by \\(2^{i}\\) but not by \\(2^{i + 1}\\) . \n\nNote: \\(\\sum_{j\\in S}a_{j}\\) is the summation notation, for instance, \\(\\sum_{j\\in \\{2,5\\}}a_{j} = a_{2} + a_{5}\\) , while, for the empty set \\(\\varnothing\\) , one defines \\(\\sum_{j\\in \\varnothing}a_{j} = 0\\) .", "solution": "We do the same induction as in the main Solution. If all \\(a_{j}\\) are even, then all the sums are even, contradicting the hypothesis. Therefore, without loss of generality, we can assume that \\(a_{0}\\) is odd. For each \\(i\\in \\{0,1,2,\\ldots ,2^{n} - 1\\}\\) , let \\(S_{i}^{\\prime}\\subseteq \\{0,1,\\ldots ,n - 1\\}\\) be the subset such that \\(\\sum_{j\\in S_{i}^{\\prime}}a_{j}\\equiv i\\cdot a_{0}\\) (mod \\(2^{n}\\) ) (this subset exists by the hypothesis and is unique since there are exactly \\(2^{n}\\) subsets of \\(\\{0,1,\\ldots ,n - 1\\}\\) ). By definition, one has \\(S_{0}^{\\prime} = \\emptyset\\) and \\(S_{1}^{\\prime} = \\{0\\}\\) . \n\nLet us prove by induction that, for each \\(i\\in \\{0,1,\\ldots ,2^{n - 1} - 1\\}\\) , one has \\(0\\notin S_{2i}^{\\prime}\\) but \\(0\\in S_{2i + 1}^{\\prime}\\) . The case \\(i = 0\\) is trivial. For \\(i > 0\\) , if we suppose that \\(0\\in S_{2i - 1}^{\\prime}\\) , we prove that \\(0\\notin S_{2i}^{\\prime}\\) . Indeed, if \\(0\\in S_{2i}^{\\prime}\\) , then \\(\\sum_{j\\in S_{2i}^{\\prime}\\backslash \\{0\\}}a_{j}\\equiv 2i a_{0} - a_{0} = (2i - 1)a_{0}\\equiv \\sum_{j\\in S_{2i - 1}^{\\prime}}a_{j}\\) (mod \\(2^{n}\\) ) and so \\(S_{2i}^{\\prime}\\backslash \\{0\\} = S_{2i - 1}^{\\prime}\\) by uniqueness. But \\(0\\in S_{2i - 1}^{\\prime}\\) so this is a contradiction, proving that \\(0\\notin S_{2i}^{\\prime}\\) . Then, \\(\\sum_{j\\in S_{2i}^{\\prime}\\cup \\{0\\}}a_{j}\\equiv 2i a_{0} + a_{0} = (2i + 1)a_{0}\\equiv \\sum_{j\\in S_{2i + 1}^{\\prime}}a_{j}\\) (mod \\(2^{n}\\) ). By uniqueness, \\(S_{2i}^{\\prime}\\cup \\{0\\} = S_{2i + 1}^{\\prime}\\) and so \\(0\\in S_{2i + 1}^{\\prime}\\) . \n\nSince \\(a_{0}\\) is odd, it is invertible modulo \\(2^{n}\\) and so \\(0, a_{0}, 2a_{0}, \\ldots , (2^{n} - 1)a_{0}\\) is a permutation of 0, 1, 2, ..., \\(2^{n} - 1\\) modulo \\(2^{n}\\) . This shows that the subsets \\(S_{0}^{\\prime}, S_{2}^{\\prime}, S_{4}^{\\prime}, \\ldots , S_{2^{n} - 2}^{\\prime}\\) are all distinct. There are thus \\(2^{n - 1}\\) subsets \\(S_{2i}^{\\prime}\\) and they are a precisely the subsets of \\(\\{1,2,\\ldots ,n - 1\\}\\) (since there are also \\(2^{n - 1}\\) such subsets). Moreover, their corresponding sums are all even. Since this list of subsets contains \\(\\{1\\} , \\{2\\} , \\ldots , \\{n - 1\\}\\) , this shows that \\(a_{1}, a_{2}, \\ldots , a_{n - 1}\\) are all even. \n\nWe then conclude the induction as in the main Solution.", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 4.", "solution_match": "\nAlternative Solution."}} diff --git a/CANADA_MO/md/en-CMO2025-solutions.md b/CANADA_MO/md/en-CMO2025-solutions.md index fca0fe0341d814cab1b46c548da65332bb17c18f..92fd4806ca78975b3e058f1094a8665636464620 100644 --- a/CANADA_MO/md/en-CMO2025-solutions.md +++ b/CANADA_MO/md/en-CMO2025-solutions.md @@ -157,7 +157,7 @@ Consider the following version of the problem: A rectangle \(R\) is divided into a set \(S\) of finitely many smaller rectangles such that no three rectangles in \(S\) share a common corner. For each \(r \in S\) , draw two non- intersecting arcs inside \(r\) , connecting the pairs of adjacent corners of \(r\) (there are two ways to do this, by connecting either the horizontally or vertically adjacent corners). Prove that there does not exist a path from the bottom- left corner of \(R\) to the top- right corner of \(R\) by walking only along these arcs. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAE1AWwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+s7UfEGjaRLHFqer2FlJJ9xLm5SMt9AxGa0T0r4R1/UtQ1fXr6/1V3a9lmYy7+qnP3fYDoB2xQB92I6SxrJGyujDKspyCPUGnV83fB/xZ44tPDl1Y6L4cOu2ME3yNJdrF5BIyUG7qO+B0z716L/wmPxN/wCibR/+DSKgD0yivM/+Ex+Jv/RNo/8AwaRUf8Jj8Tf+ibR/+DSKgD0yivM/+Ex+Jv8A0TaP/wAGkVH/AAmPxN/6JtH/AODSKgDvdS1zSdGVG1TVLKxEhwhuZ1j3fTcRmrcE8N1Ak9vKksLjckkbBlYeoI618SeN9X1fWvGOp3eto8V8J2je3ZsiAKSBGPYdPfr3rvvgx4o8ZadbalYaBoZ1y0UpI0L3KxLbscjILf3sdP8AZoA+oaK8z/4TH4m/9E2j/wDBpFR/wmPxN/6JtH/4NIqAPTKK8z/4TH4m/wDRNo//AAaRUf8ACY/E3/om0f8A4NIqAPTKpalq+m6PAJ9T1C0soicB7mZY1J9AWIrgP+Ex+Jv/AETaP/waRV8+fEzW9d1vxveP4gtnsrqHbGtkZN6267QQARwc53Z75oA+ybS8tb+2S5s7mG5gflZYXDq30I4NTV8n/BrxH4r0nVb+z8O6S2sRyw+bLZtOIlQggCQM3APOMd8+1eyf8Jj8Tf8Aom0f/g0ioA9MorzP/hMfib/0TaP/AMGkVH/CY/E3/om0f/g0ioA9MorzP/hMfib/ANE2j/8ABpFR/wAJj8Tf+ibR/wDg0ioA9MorzP8A4TH4m/8ARNo//BpFR/wmPxN/6JtH/wCDSKgD0yivM/8AhMfib/0TaP8A8GkVH/CY/E3/AKJtH/4NIqAPTKK8z/4TH4m/9E2j/wDBpFR/wmPxN/6JtH/4NIqAPTKK8z/4TH4m/wDRNo//AAaRUf8ACY/E3/om0f8A4NIqAPTKK8z/AOEx+Jv/AETaP/waRUf8Jj8Tf+ibR/8Ag0ioA9MorzP/AITH4m/9E2j/APBpFR/wmPxN/wCibR/+DSKgD0yivM/+Ex+Jv/RNo/8AwaRUf8Jj8Tf+ibR/+DSKgD0ieeG1gee4ljhhQbnkkYKqj1JPSqmm65pOsq7aXqllfCM4c206ybfrtJxXzb8Z/FHjHUbfTLDX9DOh2jF5FhS5WVbhhgZJX+7np/tVwXgfV9X0Xxlpl1oiPNfGdY1t1bAnDEAxn2PT269qAPt6ivM/+Ex+Jv8A0TaP/wAGkVH/AAmPxN/6JtH/AODSKgD0yivM/wDhMfib/wBE2j/8GkVH/CY/E3/om0f/AINIqAPTKbJIkUbSSOqIoyzMcAD1JrzX/hMfib/0TaP/AMGkVedfGDxZ44u/DlrY614cOhWM83ztHdrL55AyEO3oO+D1x7UAfQGna/o2sSyRaZq1heyR/fW2uEkK/UKTitGvhHQNS1DSNesb/S3db2GZTFs6sc/d9wehHfNfd3agArwr4yfD/Q5Nb0G+tbc2t5rOrRWl08bYVw55fb0De4698mvda80+LX/IQ8C/9jHbfzoBOx0Pw6s7Cw8E2NrYWaWoi3JcRr185TtcsTySSM89sV1Vc1o//Et8Ya1pnSK6C6jAP975JP8Ax4A/8Crpaim2467nVjIRjVbgrReq9Hrb5bfIKKKKs5QoopruscbO7BVUEknsKAPGfiN4H0TxR4vluTA8Elu9jBeTW7bWlee5jjAOQRkRknOM8rnIGK7T4Y6Np+g+GJNNs7ZIbi2upYbthy0kinAYk+q7T6c8VQjRpvBy6tKpEuqa7Y3WD1CG9hCD/vkD863rP/iXePr+26RalapdJ6eYh2OB7kFDWEZPST6/rsepVpQvUoxWsEvvjpL82/kjpaKKK3PLCiiigArxz4xeFdJ168muTb7L6w0qa8nuIjhmUcRK3Y/Nn3wOtex15rrX+neDvHusnkXEcttCe3lwoVyPq281E27pI6sPGPJOpJbLT1en5XfyL/wx8NaV4XsdW02ytgl1b3rxTzucyTKPmjJPptYcDA6+td3XN2n+h/EPUYR92+sIrn/gUbGM/oVrpKKbdrPoGLjFVFKKsmk/vWv43CiiirOUKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDi/ifo2na74T+w3tqk881xFDZk8NHK7BQQR7Z+uOa4r4YeCNE8PeLBcCBp55VvFtJ523GNobmSJgoGBkoEOcZ69M16Lrn+l+LfDtieUR5rxx/uJtU/m/6VztiPs2n6FqK9YfEN9Ax/2JbqdD+u2sJSd2+1v+D+Z6dKlBxhTa1kpP56qP4x/Fno1FFFbnmBRRRQAVy/xDstOv8AwNqcOpWiXUfl/ukbqJSdqEEcg7iOldRXN+Kx9qvNA00ci41BZHHqkSmQj8wtRUbUXY6cHCM68VLZav0Wr/BHlvwX8AaIuqa3qN5bm5vtI1WW0tmkbKpsxhtvQtnuenbBr3avNPhF/wAfHjb/ALGO5/mK9Lqznbu7hXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/wCxjtv50COm8Sf6Dreg6uOFS5NnN/uSjAz7Bwv510tY/iuwbUvC2o2yZ83yS8eOu9fmX9QKuaRfrqmj2V+uMXECS4HYkAkVnHSbXfU7Knv4aE/5W4/Ldfm/uLlFFFaHGFc/40uJIvDM9tAcXF8yWcX+9IQv8iT+FdBXNat/p/jXRLDrHapLfyj3A2J+rMfwrOr8Nu+h14JL26k9o3l9yv8AjsL4nt47PwzYW0I2xQ6jpkaD0AvIAKTxT/omo6Bqo/5d74QSH0jmGw/rtqbxj/yBLb/sK6d/6WQ07xnatd+DtURPvpCZkx13J84/VaKi9x26foGDn/tMeZ7uz9JaP8GbtFQWNyt7p9tdr92eJZB9GAP9anrRO5yyTi2mFFFFAijrV+NL0S+vyR/o8DyDPcgHA/OuS1mwOmfBS/tGB8xNJdpM/wB9lLN+pNa/jf8AfaLb6f8A9BC9gtT9C4Zv/HVNHxB/5J34g/68Jf8A0E1mtaj8kdkvdwkV/NJv7lZfmw1P91490CQdZra6ib3ACMP5Gukrm9X+bxx4bUdVju3P02IP610lEN5ev6IWJ/h0f8P/ALdIKKKK0OQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDm/9Z8SueRDpHHsXm/+wrnZfl+GN3MPvQaxcyr9RqL10UfyfEqcf89NIjI/CVv8RXOzf8kq1Je7andKPqdQcVzv+HP5nr0/98w6/wAH5no1FFFdB5AUUUUAFc3qP73x9ocfaG1uZfxOxf6mukrm735PiHpTHpJYXCD6hozWdTZeq/M68F8cv8Mv/SWcx8Iv+Pjxt/2Mdz/MV6XXmnwi/wCPjxt/2Mdz/MV6XWhyBXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/wCxjtv50Ael1zXgn/R9JutMP/MOvZrZf9zduX/x1hXS1zemD7J461y2PC3UEF2g+gMbf+grWctJRfy/r7jroe9Rqw8lL7nb8pM6SiiitDkCua0T/TfF3iDUDykLRWMR9Ni73H/fT/pXSkgAknAHeub8DgyeGxfN9+/uJrtv+BucfoBWctZxXz/r7zro+7Qqz72j97v/AO2kvjH/AJAlt/2FdO/9LIa254VuLeWF/uSIUb6EYrE8Y/8AIEtv+wrp3/pZDW/WhyptO6Of8DzNN4L0vd96OHyT9UJT/wBlroK5vwV8mkXlv2t9RuogPpKx/rXSVnS+BHVj1bFVLd3+YUUUVochzevfv/Ffhm1PKCWe4Yf7keB+rij4g/8AJPPEH/XhL/6CaLj978RrFD0g0yaQfVpEX+lN+IbKnw78QFmCg2MoGTjnaazhvJ+f6I68TpClH+7+cpMcf9J+I690s9MJPs8kn+CGukrmfCxF9qOu6yCClzd+REw5BjhGwEexbdXTUU9VfuPG+7NU/wCVJfO13+LYUUUVocYUUUUAFFFFABRRRQAUUUUAFFFIzKilmICgZJJ4FAC0UyKWOZA8UiyIejKcin0AFFFFABRRRQBzeof6L4/0aftdWtxak+42yD+TVzsR87wrptj1+1+JLhCP9lb2Z2/RK6Hxpm202z1Zc/8AEtvIrh8dfLzscf8AfLH8q5vwhImqa5ZxRurxabPqdyxU5G+W8lRB/wB87j+Nc8vtR7tfj/wzPXo6qlX/AJYy++N2v/Soo9JoooroPICiiigArm/EJFt4k8M3p+6LmS1J/wCukZx+qiukrn/GsEknhi4uIFzPZMl5F9Y2DH9Aazq/A321+468C17eMX9q6/8AAk1+pynwi/4+PG3/AGMdz/MV6XXl/wAGriK6/wCEynhYNHL4guJFPqpwQa9QrQ5WmnZhXmnxa/5CHgX/ALGO2/nXpdeafFr/AJCHgX/sY7b+dAj0uub1D/RviBo0w/5e7S4tm/4CVkH8mrpK5vxR+51Lw3djqmpLF+Ekbr/hWdX4b+n5nXgtarj3Ul/5K7fjY6SiiitDkMvxJdfYvDGqXIOGjtZCv12nH64qTQbT7D4e061xgw20aH6hRmsvx383hK5tx965khgH/ApFB/TNdJWa/iP0OuWmEj5yf4JW/NmB4x/5Alt/2FdO/wDSyGt+sDxj/wAgS2/7Cunf+lkNb9aHIc34P/1etj/qMXP/AKEK6Sub8G/Na6tJ2k1a6Yf994/pXSVnS+BHXj/95mFFFFaHIc31+JZ9tH/9rf8A1q+aPjP4i1PV/iHqVldTSC0sJfJt7fPyqABlserdc+hA6Cvpd/l+JURP/LTSHA/CZf8AGuM+L3w00XW9K1HxPmW21O0tWkZ4sbZwi8Bwe+BjI7euBWdPr6nXi/8Al3/hX6nm/wADPG+oaRq1zoskdxfWEsJkitkmiUxyBhypldFwQTkA5Jwcda+gP+Eh1M/8yfrf/f6y/wDkisbwl8KvDPhPTZ7VLUX8txjzp7xFdmx0AGMKB7c+54rT/wCEOjs/m0TVL/SyOkSSebD/AN+3yPyxTbknoroinCjONpScZel1+Gv4Mm/4SDU/+hO1v/v9Zf8AyRR/wkGp/wDQna3/AN/rL/5IqHf4w0/70OmatGO6M1tKfwO5f1FL/wAJd9m41PQ9XsiPvP8AZ/OjH/Aoyf5UvaLroafUqj/htS9Gr/dv+BL/AMJBqf8A0J2t/wDf6y/+SKP+Eg1P/oTtb/7/AFl/8kUtv418NXLbU1m1Rv7szeUfyfFasOo2NyAYLy3lB6bJVb+RqlOL2ZjUw1an8cGvVNGT/wAJBqf/AEJ2t/8Af6y/+SKP+Eg1P/oTtb/7/WX/AMkVv0VRiYH/AAkGp/8AQna3/wB/rL/5Io/4SDU/+hO1v/v9Zf8AyRWtNqNjbAme8t4gOu+VV/mayrjxr4atm2vrNq7f3YW80/kmalzit2bU8NWqfBBv0TYn/CQan/0J2t/9/rL/AOSKP+Eg1P8A6E7W/wDv9Zf/ACRUX/CXG540zQtWvSfuubfyYz/wKQj+VJv8Yah92LTNJjPd2a5lH4Dav6mp9oumpt9SqL+I1H1av92/4E3/AAkOpj/mT9b/AO/1l/8AJFfP/wAcvHGoavq1tosaXFjYRQiSW2eaJjJIWPLGJ3UgADAJyDnjpXvX/CHR3nza3ql/qhPWKSTyoc/9c0wPzzWZ4u+FPhnxZpsFq9qLCW3z5M9mioy56gjGGHHfn3HNNOTeqsjOpChCNoycpell+Ov4I+c/hR4v1Dwt4ztFgeWSxun8u5tVkVVkBHB+dlUMDg5JHcZwa+o08SahKgePwjrTowyGWeyIP/kxXD/Cr4V+H9L0Ww8QTxtf319ZpJi5VTHEHUEhVx74yc8enNdq/gvToXaXSp7zSZScn7FMVQn3Q5X9KcnJbIVKNGStOTT9Lr563/Bkv/CQan/0J2t/9/rL/wCSKP8AhINT/wChO1v/AL/WX/yRUPk+MNP/ANXdadq0Q7TobeU/iuV/QUv/AAlN5a8an4b1S3Pd7dVuUH4oc/pU+0S3VjX6lOX8OSl6PX7nZ/gS/wDCQan/ANCdrf8A3+sv/kij/hINT/6E7W/+/wBZf/JFNi8ceG5X8ttUigk7rcq0JH/fYFasGrabdDNvqFpKP+mcyt/I1SnF7MyqYWvT+ODXqmeC/HvxfrT22m6N/Z9/pNpcK8syTvETcYIAGYpHG0dwSOSOOBXmPw58Sap4b8a6bNppmk8+4jgmtYyP9IRmA24JAzzwT0OK+rvGngfR/HmkpZamrhomLwXEJAeInrgnIIPGQeuPYGuY8F/BLQPCGsJqzXNxqN5CcwGYBUiP94KOre5PHpmqMDrv+Eg1P/oTtb/7/WX/AMkUf8JBqf8A0J2t/wDf6y/+SK2Zry1t8+dcwx4673A/nWVdeMPDln/rtass/wB1JQ5/JcmpcordmtOhVqfBFv0TZH/wkGp/9Cdrf/f6y/8Akij/AISDU/8AoTtb/wC/1l/8kVF/wmdpPxpum6rqGejQWjKn/fT7RSfbPF19xb6XYaYn9+8nMz49QqcZ+rVPtY9NTf6jWX8S0fVpfhv+BN/wkGp/9Cdrf/f6y/8AkivJfjh491NNCttFtbO80o3TsLrzZ4C7IAPk/dSuQDnnOM4xzzXqn/CLXV9zrWv312p6wW5FtER6EJ8x/Fqh1n4ceF9a0CTR5dMighYhllgAWVHHRgxySeT1z1ppyb2siJ06EIu0+aXktPvdn+B8h+F/EWpeF9ftdT0uaRJ43G5FJxKueUYdwelfc46V4B8I/hlok+v6zqN6010+iatLaW0b4CExnh2GOT7dPrXv9WcwV5p8Wv8AkIeBf+xjtv516XXmnxa/5CHgX/sY7b+dAHpdc341+TSbKfvBqNrJ/wCRVH9a6Sub8eceELl+6TW7D8JkrOr8D9DrwH+9U13kl97OkooorQ5Dm/GHzRaLD2l1e2BHqAxb/wBlrpK5vxT81/4bT11VW/KOSukrOPxyOutpQpL1f42/QwPGP/IEtv8AsK6d/wClkNb9YHjH/kCW3/YV07/0shq74guxYeHNSu84MVtIw+u04/XFW3ZXOenB1JqC3bsZvgQFvCNrOfvXEk05/wCBSsR+hFdJWb4dtPsHhvTLUjDRWsat9doz+taVTTVoJG2Mmp4ipNbNv8woooqzmOb1T9z478Pyj/lvBdQE/QK4/wDQTR8Qf+SeeIP+vCX/ANBNHi3/AEebQr8cfZ9TjVm9EkBjP/oQo+IP/JPPEH/XhL/6Cazh8Ul/Wx14jWjSl5NfdJv8mjpKKKK0OQKKKKAIbiztbtdtzbQzD0kQN/Osqbwf4bn+/odhn/YgVf5YrboqXGL3RrTr1afwSa9G0c3/AMID4X7aREP913H8jR/wgPhfvpETf7zuf5mukoqfZU/5V9xt/aGL/wCfsv8AwJ/5mJD4P8Nwfc0Owz6tArfzzWrb2draLttraGEekaBf5VNRVKMVsjGpXq1Pjk36tsKKKKoyCiiigDnvAf8AyT/w9/2DoP8A0AV0Nc94D/5J/wCHv+wdB/6AK6GgAooooAjmghuE2TRJIn911BH61lz+FPD1ySZdE08k9SLdQfzArYopOKe6NIVqlP4JNejOcPgHwuTkaPCv+6zL/I0n/CA+F++kxn2Mjn/2aukoqPZU/wCVfcb/ANoYv/n7L/wJ/wCZgw+CvDMBGzQ7I4/vxB/55rUttNsLLH2WytoMf88olX+Qq1RVKEVsjKpia1T45t+rbCiiiqMQooooA80+EX/Hx42/7GO5/mK9LrzT4Rf8fHjb/sY7n+Yr0ugArzT4tf8AIQ8C/wDYx23869LrzT4tf8hDwL/2Mdt/OgD0uub8e/8AIm3vu8I/8jJXSVzfjn5vDRi/563dsn/kZD/Ss6v8OXodeX/73S/xL8zpKKKK0OQ5vxPxqvhpu39pY/OJ66Sub8W/LN4ek/u6vCPzV1/qK6Ss4/FI66/8Ck/J/mzA8Y/8gS2/7Cunf+lkNQ+Nv9I0e30wddRvIbbj+7u3N/46pqbxj/yBLb/sK6d/6WQ1Def8TDx9p1sOY9NtZLp/Te/yIPrgOaKvw276DwOlb2n8qcvu2/GyOlooorQ4wooooAw/GNo974R1KOL/AFqQmaPHXchDj9VrO8Y3aah8KtWvI/uXGlvKv0ZM/wBa6xlDqVYAqRgg9684vGMPwi8TaW5Jk0yK6tDnqVAJQ/8AfLLWe1T1X5HYvfwrX8sr/KSs/wAUvvPSKKKK0OMKKKKACiiigAooooAKKKKACiiigAooooA57wH/AMk/8Pf9g6D/ANAFdDXPeA/+Sf8Ah7/sHQf+gCuhoAKKKKACiiigAooooAKKKKACiiigAooooA80+EX/AB8eNv8AsY7n+Yr0uvNPhF/x8eNv+xjuf5ivS6ACvNPi1/yEPAv/AGMdt/OvS680+LX/ACEPAv8A2Mdt/OgD0uub8YfPHosH/PXVrcEeoUlz/wCg10lc3rv7/wAWeGbXqolnuGH+5Hgfq4rOr8Nv63OvA/x1Lsm/uTf6HSUUUVochzfjb93o9pddrbULWYn0xKo/rXSVgeN4Gn8Fasq/eSAyj6oQ/wD7LW1bTrc2sM6/dlRXH0IzWa/iP0X6nXPXCwfaUl+Ef+CYvjH/AJAlt/2FdO/9LIah8J/6dNq+uHkX90UhPrDF8i/mQx/GvmH4meOtb8Q+MNShkvbiGxtLp4be1RyqIEbAYgdWyM5PQ/QV6J8DfiLdLY3ehasL68itlWS0a3tZLh0UkhlOxScdCCfcelU43afYzp1eSnOCWsrfctX+NvuPf6K57/hMbD/oH67/AOCW6/8AjdH/AAmNh/0D9d/8Et1/8bqjA6Giue/4TGw/6B+u/wDgluv/AI3R/wAJjYf9A/Xf/BLdf/G6AOhrzXx5/wASxPE8Z4h1fRpJV95ol2kD/gDKfwrqf+ExsP8AoH67/wCCW6/+N180/GDxxqPiPxhc2SyXFvptixigt3jaJs4G5nUgHJ54PQY96mUb28jejVVPmTV1JNfqvuaTPreivmT4TfEXxQJ59CNzLewmPzY5Jrea7eAAgHasYLEHI68DHvz6r5lpe863d+LdQz96FNIureE/8ASMH8yaTk72SHTpU3HmqTt5Wbf+X3tHY6h4m0TSmK3uqW0UgOPL37n/AO+Rk/pVD/hLvtPGmaHq16D92T7P5MZ/4FIV/lVPT9V8N6SoFh4f1S3PTdHoNyGP1Pl5NX/+ExsP+gfrv/gluv8A43StN7u39f10NOfCw+GDl6uy+5a/+TDPt3i65H7nRdOs/e6vDIfyRf60fZPGM/8ArNW0m2/64Wbv/wChPT/+ExsP+gfrv/gluv8A43R/wmNh/wBA/Xf/AAS3X/xuj2fdv+vQX1u3wU4r5X/9KuM/sbxOfveLFH+5psY/mTR/Y3icfd8WKf8Af02M/wAiK8C+M/xG1XU/Ej6Np1zfWOmWyKGiKPbvK5AYl1YBsDIAB44z3p3wX+Iuraf4kTRtQuL6/wBNuY32xLG9w8TqCwKKoLY4IIHHOe1Hs4+f3v8AzD67V7R/8Ah/8ie9/ZPGMH+r1XSbn/rtZun/AKC9H27xdbD99ounXnva3hjP5Ov9af8A8JjYf9A/Xf8AwS3X/wAbo/4TGw/6B+u/+CW6/wDjdHs+zf8AXqH1u/x04v5W/wDSbDP+Eu+zcanoerWQH3pPs/nRj/gUZb+VX9P8S6JqrBbLVLaWQ8eXvCv/AN8nB/Sqf/CY2H/QP13/AMEt1/8AG6oajqvhvVlIv/D+qXB/vSaDclh9D5eRRaa2d/6/roPnws/ig4+juvuev/kx2FFec+ZaWXOiXfi2wx92GTSLq4hH/AHjJ/IivKfiz8RfFDXEGhC5lsoRH5sjw281o84JIG5ZAGAGD04Oe+OGpO9mjOpSpqPNTmn5Waf+X3NnvfgP/kn/AIe/7B0H/oAroa+Uvgx431nS/Gum6K15PPpd6/kNbSOWVCQdrJn7uDjOOoz7Y+ras5wooooAKKKKACiiigAooooAKKKKACiiigDzT4Rf8fHjb/sY7n+Yr0uvNPhF/wAfHjb/ALGO5/mK9LoAK80+LX/IQ8C/9jHbfzr0uvNPi1/yEPAv/Yx2386APS65sf6V8RmPVLLTAPo8kn+CfrXSVzfhn/StY8R6l2kvRbL/ALsKBf8A0ItWc9XFeZ14b3YVJ9o2+9pflc6SiiitDkIL22W8sLi1b7s0TRn6EEf1rJ8GXDXXg3Snf76QCJvqnyH9Vrdrm/CX+jS63ph4NrqMjIvpHIBIv/oRrN6TTOun72GnHs0/lqn+LR5r8T/gzYalqT+INOvzZS3l5bxXEBi3ozzTJEXHII5fcRznnpXWeE/g/wCHfDOkNayq99eSMHkvWzE4I6BNpyoHpk9ec10fjH/kCW3/AGFdO/8ASyGt+raTVmc8Kk6clKDs11RzX9ga3p/Ok+IpnQdINSjE6n23jDAfiaBrPiKx41Hw79pQdZtNuA+f+APtP866Wio9nb4W1/XmdP1ty/iwUvlZ/fG1/nc5xfHGhqwS9luNPlP8F7bvEfzIx+ta1rrGmXwH2TUbSfPTyplb+Rq4yq6lWUMp6gjINZN14W0C9ybjRrF2PVvIUN+YGaP3i7MV8JLpKPzT/Cy/M168q+IXwTsfGmsNrFlqB06/lAE+YvMjlwMA4yCDgAe+Oneux/4QTw8n+ptZoP8Arjdyp+gbFH/CFWA+5f6wn+7qMv8AjRefb8f+AHs8K9qj/wDAV/8AJMx/hx8LtO+H0VxMl017qNyoSS5ZNgCA52quTgZ5PJzgV3hIAyTgVzf/AAhWnN/rLzVpB6PqEvP/AI9S/wDCB+Gycy6e059Z7iST/wBCY0Xn2X3/APAD2eFW9SX/AICv/kkaN34h0axB+1arZREdnnUH8s5rN/4TbS5uNNg1DU2/6c7R2H/fRAX9a0rTw9otiQbXSbKFh/EkCg/njNaVFqj6pBzYWO0ZS9Wl+CT/ADOa/tDxXf8AFpo9pp6H/lpfz72x/uR9/q1H/CL3l9zrWv3t0p6wW2LaIj0IX5iPq1dLRR7NP4ncf1yUf4UVH0Wv3u7XyaPIviT8G9D1bSpdU01v7LurG2d2CJvSdVBbDAnO7tuz9c8Yg+C/gPT/AA/eX19cSNcaukcWxiMIkMqK4Kj1PIJ9u3Nen+J/+RT1n/rxn/8AQDXOad/xLNQ8K344h1DTksJj23hA8Z+vDj8aJe7a2wqK9u5qesmm0/Nav70n8zuKKKK0OQKKKKACvL/i/wCBNP8AFselOHaDWHuFtLeVRkFGJZt47hQGPHTPvXqFc1/yE/iBjrDo9r+U03+CL/49UTbSst2dOFpxlJymtIpt/p97aRwHwh+E+n6NDp3i26u2vL2e2Wa3j8vYkG9ee53NgkZ4HJ4717JXPeA/+Sf+Hv8AsHQf+gCuhqzmCiiigAooooAKKKKACiiigAooooAKKKKAPNPhF/x8eNv+xjuf5ivS680+EX/Hx42/7GO5/mK9LoAK80+LX/IQ8C/9jHbfzr0uvNPi1/yEPAv/AGMdt/OgD0S+uksbC5vJf9XBE0rfRQSf5Vk+DbV7Twlp4l/100ZuJT3LSEuc/wDfVQeNmaXRI9MjJEmp3MdoCOyscuf++Q1dGqqiKigBVGAB2FZ71PRfmdj9zCpfzSv8oqy/Fv7haKKK0OMK5pP9A+Ikq9I9TsA/1kibB/8AHXH5V0tc14u/0N9H1kcfYb1RK3pFL+7f+an8KzqaLm7f1+R2YL3qjpfzJr57r/yZIm8Y/wDIEtv+wrp3/pZDW/WB4x/5Alt/2FdO/wDSyGt+tDjCiiigAooooAKKKKACiiigAooooAKKKKAMrxP/AMinrP8A14z/APoBrC1C1kn+GNlNAP8ASbO0t7yE+jRqrfyBH41u+J/+RT1n/rxn/wDQDS+H1V/CulowBVrKIEHuNgqZR5otGtCq6VWNRdGmXrS5jvbKC7hOYp41kQ+xGR/Opq5zwSzRaE+muSZNNuZbMk9wrZU/98la6OiEuaKZWJpKlWlBbJ6enT8AoooqjARmCqWYgKBkk9q5zwUpuNKudXcESapdSXIz1CZ2oP8AvlR+dT+MbuS08KX3k/6+dBbRDuXkIQY/76z+FatjaR2Gn21nF/q4IliX6KMD+VZ7z9P1Oxe5hW+snb5R1f4tfcY3gP8A5J/4e/7B0H/oAroa57wH/wAk/wDD3/YOg/8AQBXQ1ocYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5p8Iv+Pjxt/2Mdz/ADFel15p8Iv+Pjxt/wBjHc/zFel0AFeafFr/AJCHgX/sY7b+del15n8XCFvvAxJAA8R2xJP1oA6ef/iZfEC2iHMWlWrTN7Sy/KoP/AQx/GulrmvBoN3aX2tyA79UumlTPURL8kY/75XP410tZ09Vzd/6/I7Mb7tRUv5Fb57v/wAmbCiiitDjCqGt6cur6He6e2P9IhZAT2Yjg/gcGr9FJpNWZUJuElOO61OJudRbVfh/pF3Jnzm1DTUmB6iRb2FW/UGu2rzrUv8AiXXWp6O3CSaxpmoW/usl5CHA9g4P516LU023HU6MZCMaz5dnqvR6r7tgooqnfatp2mLuvr62th/01lC5+metU2lqznjCU3yxV2XKK5v/AITfS5jjToNQ1I/9Odo7D/vogL+tH9u+ILjm08KTKp6Nd3kcX6Dcaj2semvpqdP1GuviXL/iaj+bR0lFc35vjSXlbXQ4B6PNLIR+SijyfGjcm80JPZbaU/zej2nkw+qW3qRXzv8Alc6Siub8rxovS60GT/eglX+TUfaPGUPL6fo1yPSG6kjP/jymj2ndMPql/hnF/O352Okorm/+Ei1m3/4/vCl8q/3rSeOf9Mg/pSp440RXEd5LcafKf4L63eH9SMfrR7WHV29dA+o4j7Meb/C1L8mzo6Kgtb21vovNtLmG4j/vRSBx+YqetE7nK4uLszK8T/8AIp6z/wBeM/8A6Aad4d/5FjSf+vOH/wBAFN8T/wDIp6z/ANeM/wD6Aad4d/5FjSf+vOH/ANAFAjN07/QvHur2v8N7bQ3iDtlcxv8AyWulrm9b/wBE8X+Hb3osrTWch9dy7lH5p+tdJWdPS68/+CdmL95U6neK/D3f0CiiitDjOa8Q/wCmeIvDum9V+0PeyewiX5f/AB5l/KulrmrX/TPiJqEv8NhYRW4/3pGLn9FWulrOGrb8/wAtDsxXuxp0+0U//Ave/Jo57wH/AMk/8Pf9g6D/ANAFdDXPeA/+Sf8Ah7/sHQf+gCuhrQ4wooooAKKKKACiiigAooooAKKKKACiiigDzT4Rf8fHjb/sY7n+Yr0uvNPhF/x8eNv+xjuf5ivS6AAnAzXxn47+I+s+NNbM8ly8Nhbzl7K2T5RFj7re7Y7/AJYFfZlfMPxM+EA0TxHYTaTeRLZ61qK2sMEoINvJIemRnKD8x0560AnY7f4S/Fi0uvCxsPEVysNzYFYopFhY+bFj5chQQCMEe/HvXff8LG8Kf9BX/wAl5f8A4msPwf8ACSx8KaKsMOqXyao53zXtrKY9x7Ls5BUe4J5P0G+I/F2mfcmsdahHaQfZpj+Iyh/IVDk49NDqjRjVV1UXN2en47fe0M/4WN4U/wCgr/5Ly/8AxNH/AAsbwp/0Ff8AyXl/+JqQeM7S1ITWbC/0puhe4hLRE+0iZX88Vt2WpWOpReZY3kFynrDIGx+VEZxlomRVwtakuacXbv0+/YwP+FjeFP8AoK/+S8v/AMTR/wALG8Kf9BX/AMl5f/ia6mirMD5E+JHxK1TxH4wnlsLuS1sbOTyrTySUZlRwwdj1yWRWAPTA7jNdv8OvjLrV1p8ul6rLazXUWGjv7sv9zphljUliPXj3rQ8e/AO51vxHc6t4ev7SBbyQyzW93uUK5OWKsoPBOTgjj19O3+GHw0g+H2m3BkuVu9Su9vnzKuFVRnCKDzjk89/wpNXVkaQqcsk2r26PYzv+Ej0i/wCdY8bXTKesFhayW6fQkKWI/GrljrXw205/Mtzb+b182S1lkfP+8yk/rXoVFSqcVrY2lja8lyqVl2Wi+5WOW/4WL4UH/MV/8l5f/iaP+FjeFP8AoK/+S8v/AMTXU0VZynLf8LG8Kf8AQV/8l5f/AImj/hY3hT/oK/8AkvL/APE11NFAHLf8LG8Kf9BX/wAl5f8A4mj/AIWN4U/6Cv8A5Ly//E11NFAHLf8ACxvCn/QV/wDJeX/4mkf4h+EpEKPqYZTwQ1tKQf8Ax2uqrM1HxFo2k5F9qVtC4/5ZlwXP/ARyfypNpK7Lp051JctNNvyOLutT+GtzL5yzLaz9prOGaBwfXKKM/jUH/CWWunc6X4z+1RjpBqlnK/8A5EVA35g11P8AwlN5fcaLoF9dA9J7kfZoiPUFvmP4LSf2T4k1P/kJa3HYxHrBpkeG/wC/r5P5AVg+R/Avu0PTi8RBWxE0l2l7z+7Vr8PU8F+J3xf1zVLg6Lp0osLRI9ty1s5JuCw/vFQwXB6YHfOa1/gd8SNauvEcHhbVbl7y1nib7K8vLwsilsbupXap4PTAxW78TvgtbajaS65o960F3bQM9yt3I0n2gKCd27khsDHoeOne58IPhMvhd4fEmo3cdzfT24NvHEDshVwCTk8liDjoAOeua3je2p5tVxc24bf15v8ANneeN/3Wi299/wA+N9b3H4CQKf0Y10lYnjG3+0+DdYj6n7JI4+qjcP5Vpadcfa9MtLn/AJ7QpJ+YBqFpUfov1N564WD7Skvwi1+pZooo6VochzfhT9/eeIb48mbU3iB9VjVUH6g10lc34E+bwhaTn71y8s7H13yMf5EV0lZ0vgTOvH6Ymcezt92n6HPeA/8Akn/h7/sHQf8AoAroa57wH/yT/wAPf9g6D/0AV0NaHIFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafCL/AI+PG3/Yx3P8xXpdeafCL/j48bf9jHc/zFel0AFeafFr/kIeBf8AsY7b+del15p8Wv8AkIeBf+xjtv50Ael0UUUABAIIIyDWJe+ENBv5PNl02GObr50GYnz67kwa26KUoqW6NKVapSd6cmn5OxzX/CNalaD/AIlnifUIh/cvFW5X6fMA360vm+MrT71tpGooP+ecj27n8ww/WukoqPZpbNo6Prk5fxIxl6pX+9Wf4nN/8JNqNvxfeFtUjPrbGO4H/jrZ/Sj/AITnRY+Ls3tm3925spVx/wCO4rpKKOWa2l+H/DC9th5fFTt6Sa/NSMGLxt4Zm+7rdkP9+QL/ADxVpfE2gv8Ad1vTW+l0n+NX5bW3n/1sEUn++gNVW0PSH+/pVi31t0P9KP3nkF8I+kl80/0Qz/hItE/6DGn/APgSn+NRv4p8PR/e1zTR/wBvSf41J/wj2if9AfT/APwGT/CpU0bS4/8AV6bZr/uwKP6UfvPIP9k/vfgZcnjrwxGcHWbdz6R5c/8AjoNM/wCE10+X/jystWvfe3sJMfmwAroY4o4hiONUHooxT6LT7r7v+CHtMKtoSfrJfpFfmc3/AG/rtz/x5eFbkKejXlzHDj6gFjSeR4xvBiS80rTVPeCJ53H4sQP0rpaKORvdv+vQPrUY/BTivvf/AKU2vwOa/wCEQF1zq2tapf5+9GZ/JiP/AAGMD+daeneH9I0nH2DTbaBv76Rjcfq3U/nWlRTVOKd7E1MXXnHlcnbstF9y0CiiirOYyvE//Ip6z/14z/8AoBp3h3/kWNJ/684f/QBTfE//ACKes/8AXjP/AOgGneHf+RY0n/rzh/8AQBQBZ1KH7Rpd3D18yF0/NSKz/CE3n+DdGc9fsca/koH9K2iAQQehrnPARJ8D6UD1WMr+TEf0rN/xF6P9DrjrhJeUo/ipf5HR1U1WXyNIvZs48uCRvyUmrdZPih/L8Jay3cWM2P8Avg1UnaLZjQjzVYx7tfmM8JReT4P0ZP8ApziJ+pUH+tbNUdFTy9C09P7ttGP/AB0VeogrRSHiJc1acu7f5nPeA/8Akn/h7/sHQf8AoAroa57wH/yT/wAPf9g6D/0AV0NUYhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHmnwi/4+PG3/Yx3P8xXpdeafCL/AI+PG3/Yx3P8xXpdABXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/7GO2/nQB6XRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBleJ/wDkU9Z/68Z//QDTvDv/ACLGk/8AXnD/AOgCm+J/+RT1n/rxn/8AQDTvDv8AyLGk/wDXnD/6AKANOub8Bf8AIk6d9JP/AEY1dGzBVLHoBmud8BKV8DaTnqYS35sT/Ws3/EXo/wBDrh/uk/8AFH8pnR1jeLf+RO1r/rym/wDQDWzWV4mTzPCmsJ/esph/44aqfwszwrtXg/NfmWtL/wCQTZf9cE/9BFW6oaG/meH9Nk/vWsR/NBV+nHZEVlapJebOe8B/8k/8Pf8AYOg/9AFdDXPeA/8Akn/h7/sHQf8AoAroaZmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafCL/j48bf8AYx3P8xXpdeafCL/j48bf9jHc/wAxXpdABXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/wCxjtv50Ael0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZXif/kU9Z/68Z//AEA07w7/AMixpP8A15w/+gCm+J/+RT1n/rxn/wDQDTvDv/IsaT/15w/+gCgCfVpvs+jX0/8Azzt5H/JSap+E4fs/hDR4+4s4ifqVBP8AOofGs5t/BeruOrWzRj6v8v8AWtizgFrZQW46RRqg/AYrP/l58v6/I63phF5y/Jf/AGxNVbUIftGm3UAGfMhdMeuQRVmitGrnLGTi010MTwdN5/g3RnznFpGv5KB/Stuub8C/u/C8dqfvWlxPbkem2VsfpivPvjR8U9U8JXttoWgskN5LD581yyBzGpJCqoPGeCSSD2qKTvBeh046PLiaiX8z/M9E8B/8k/8AD3/YOg/9AFdDXzH8M/jRqmjzW2ia1svNNEYhtmJSJoCBhQXOF29iW5HXPavWf+E1bU/veLPC2iwnsl9FczD8SwQfkacpW0tcilQ9ouZyUV5v9Fd/cj0MnAyelY174s0DT2KXGrWokBwY0fe//fK5NcsG8CXBDat4ztNVbri61iPYD7IrBf0rYsvEXgLTV22OteHLYf8ATG7gXP5GpvUfS39f11NeXCw3bl6WS+93f4E3/CZQzf8AHjo2s3qno8dmUQ/i+2j+2/EcvMHhOQL2NxfRp+g3Gpv+E38J/wDQ0aL/AODCL/4qj/hN/Cf/AENGi/8Agwi/+Ko5ZdZfl/wRe3oL4aSfq2/ycSH7Z4wf7uj6XH/v3rH+SUfavGK8nTNHf2W7kH80qb/hN/Cf/Q0aL/4MIv8A4qj/AITfwn/0NGi/+DCL/wCKo5H/ADP8P8g+tQ/59R/H/wCSIf7W8Ux/6zwxBKPWHUV/kyj+dB8VXcHF74Y1mI9zDGk4H/fDE/pU3/Cb+E/+ho0X/wAGEX/xVH/Cb+E/+ho0X/wYRf8AxVHJL+b8g+sUXvSXycv1b/IZF438PSSCKW/FpL/cu42gI/77AFblvcwXUQlt5o5oz0eNwwP4isObxh4NuIzHP4j0GVD1V76FgfwLVhXB+Gkspmg1zRbGftLY6mkDD/vlgP0o/eLs/wAP8x/7JP8Amj90v/kf1O+orzz+37bTudN+I2h3kY6QapdQt/5ERg35g1zXjb41zaLohh06LTpNWmbbHPa3sd1Cijq+FOQemAw/PGC1PWzViJ4dKLnCakvWz+52f3XN34Rf8fHjb/sY7n+Yr0uvkXwB8WNX8K6/LJdulzp2o3ZuL9DGAxdz80ikAYPfHTjGB1r6661ZzBXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/7GO2/nQB6XRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBleJ/wDkU9Z/68Z//QDTvDv/ACLGk/8AXnD/AOgCm+J/+RT1n/rxn/8AQDTvDv8AyLGk/wDXnD/6AKAM7xp++0/T7Dte6lbwsP8AZDbz+iV0lc3qn+meONCtBytrFPeSD8BGv6sa6Ss46yk/6/rU66/u0aUPJv73b8kgooorQ5Dm/DH+j6v4ksD1jv8A7QPpKit/PdXFfF/4UXXjae21fR5oU1KCLyZIZjtWVASRg9mBJ69c9RjntE/0P4jTL0TUNOV/q8Tkf+guK6Ws6e1uzZ2Y3Wop/wA0Yv8ACz/FM+dPhZ8F7y4ks/Ems3htrZolns47ST96Swyrk4wuAc455647+w/2X4l03/j1vLDVYR/yzvYfKkx6B04J+q1Z8B/8k/8AD3/YOg/9AFdDVSgnqZUsRKmuWya7NJ/juvk0ct/wkn2PjWPDl9ZY+9LFCLiIf8CTJ/MVesfEPhzUeLXULB3/ALhZVf8A75OD+lbdUb7RtM1Mf6dp9rc+8sSsfzIqbTWzv/X9dDX2mGn8UHH0d19z1/8AJi0IICMiKPH+6KPs8P8Azxj/AO+RXP8A/CD6LFk2S3lgx72d5JH+gbH6Uf8ACL3sX/Hr4p1hPaZo5f8A0JKOaa3X4/8ADC9jh5fDUt6xt+TkdB9nh/54x/8AfIo+zw/88Y/++RXP/wBieJB93xdIR/t6fEf5Yo/sXxKevi0/hp0X+NHPL+V/h/mH1al/z+j90/8A5E6D7PD/AM8Y/wDvkUfZ4f8AnjH/AN8iuf8A+Ed1iXi48W6gw/6YwQx/yU0f8IZZy8Xup6xeqeqz3zhfyTaKOaT2j/X4h7Cgviq39E3+fKat5e6Tpylr24srYf8ATZ1X+dYzeL9FmJTTLO61RxxiytCyj6sQF/Wr9n4S8P2DBrfSLQOOjvGHb/vpsmtgAKAAAAOgFFqj7L8R82FhspS9bL8Ff8zl93ifUeINL07SYj/HdN58uPUKmFB+prlvHfwkn8W6IM65NNq8Lb4HnVUg5+8uxR8oPHPJ4FepUU1Czu3cieKcouEYqKfZfq7v8T5S+HXwhvfEuv3LajNDFp2lXzW14qtueR0PKLxjB6Z9+9fVteafCL/j48bf9jHc/wAxXpdWcwV5p8Wv+Qh4F/7GO2/nXpdeafFr/kIeBf8AsY7b+dAHpdFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGV4n/5FPWf+vGf/wBANO8O/wDIsaT/ANecP/oApvif/kU9Z/68Z/8A0A0miTR23hDTp5W2xx2ETsfQCME0DSbdkUNH/wBO8Z69fnlLdYrGJv8AdBdx+bj8q6Wue8FQyL4Zhu5lxPfyPeyfWRiw/wDHdtdDWdL4b99fvOrHNe3cVtG0f/AVb8bXCiiitDkOa8T/AOiap4f1UdIL37PIewSZShJ/4Ftrpax/Fdg2peFtRto8+b5JeLHXevzL+oFW9Iv11TR7O/TGLiFJMDsSMkfgazWk2u+v9fgdlT38NCX8rcfluvzl9xl+A/8Akn/h7/sHQf8AoAroa57wH/yT/wAPf9g6D/0AV0NaHGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafCL/AI+PG3/Yx3P8xXpdeafCL/j48bf9jHc/zFel0AFeafFr/kIeBf8AsY7b+del15p8Wv8AkIeBf+xjtv50Ael0UUUAFFMmmit4mlmlSONeruwAH4msGXxtoglMNnNNqM4/5Z2ELTH81G39amU4x3ZtSw9Wr/Di36I6Giub/tjxJe/8ePhxbZD0l1G5VPzRNx/Wj+zfFV3zc6/a2Y7pY2Yb/wAekJ/lU+0vsm/68zX6py/xJxj87/8ApNzpKZJLHEu6SRUX1Y4Fc9/wh0U3/H9rOtXgPVXvCin8E20+LwN4Zibd/ZEMres5aU/+PE0Xn2/H/gB7PCreo36R/wA5L8i/L4i0SA4m1jT4z6PcoP61Ufxn4aTrrlifpMD/ACq3D4e0W3/1OkWEf+5bIP6VbSytY/uW0K/SMCj955BfCLpJ/NL9GY//AAm/hj/oN2f/AH8qRPGHhuT7uu6eP964Vf5mtf7PD/zxj/75FRPp1lKMSWdu4/2olP8ASi1Tuvu/4Ic2E/ll96/+RIoNa0q5OINTs5c/8851b+Rq6CGAIIIPcVlTeGNAuP8AW6Lp7H1NsmfzxVI+BPDgYtDYNbP13W08kWP++WAovU7L+vkHLhH9qS+Sf/tyOjorm/8AhFbmDmw8S6xA3YSyrOo/Bwf50fZ/GFn/AKq/0vUVH/PxA0Dn8VJH6Uc7W8Q+rU5fBVXzuv0t+J0lFc1/wkmq2f8AyE/DN8i/89LJ1uV+uBhh+VWrLxdoN/L5MWpRRz9DDPmJ8+m18Gmqkdrilgq6XMo3Xdar71c26KOtFWcpleJ/+RT1n/rxn/8AQDXP6nK5+HGlafC22fUobayQjtvUbj/3yGroPE//ACKes/8AXjP/AOgGuc0P/iaaxoEI5g0jSYpnx/z2lQKoP0UMfxrOr8Nu+h14JWq+0e0Pe+7b73ZfM7WKJIIUhjULHGoVQOwHAp9FFaHI3fVhRRRQAVzXg/8A0OPU9EPB068dY1/6Yv8AvE/RiPwrpa5q6/4lnjyzuekOqW7Wsnp5sfzoT7lS4/Cs56NS/rX/AINjsw3vwqUu6uvWOv5cxJ4D/wCSf+Hv+wdB/wCgCuhrnvAf/JP/AA9/2DoP/QBXQ1ocYUUVUvdV0/Tl3X19bWw/6bSqn8zSbS3KjCU3aKuy3RXOHxzoLEra3E964422ltJL+oXH60n/AAldxLxb+Gdckz0MkKRD/wAeYH9Kj2sOjOn6hiftQa9dPzsdJRXN/wBu+IW5j8I3GPV76Ff0yaP7b8SDr4RkP01CH/Gj2sfP7n/kH1Kr3j/4HD/5I6Siub/4SXUov+Pnwpqq+vktFL/J6P8AhNdOi/4/bPVbEetzYyAfmoIo9rDqw+o4h/DG/o0/ybOkorIsvFOg6iQtrq9nI56J5oVv++TzWv1q1JPZmFSlUpu1SLT81YKKKKZmeafCL/j48bf9jHc/zFel15p8Iv8Aj48bf9jHc/zFel0AFfKvxG+L134j8RWg0y3gjsNIvlubR3BZpZEPDNzjafT9a+quowa+UvFPwO8V6brs8ejaedR06SQm3ljlQFVJ4VwxBBHTPQ0AepeFPjhZa3oqG7ski1hTski89IYT6MHkYYB9OSMVuf8ACSzanzc+MfDukQn/AJZ2l1HNLj0LscA+4Fc98PfgjpWmaAzeLdPtr3U533lNxKwLjhQQcE9ST0/LJ63/AIVN4D/6Fq0/N/8AGocLvVnTDEKnFKEFfu9fwen4FaGHwD5qzX3iCw1ScdJNQ1NJv/HS20flW/D4p8KW8Qjh17RY4x0VLyIAfgDWT/wqbwH/ANC1afm/+NH/AAqbwH/0LVp+b/404wjHZEVcRVq/xJNmz/wl/hn/AKGLSP8AwNj/APiqP+Ev8M/9DFpH/gbH/wDFVjf8Km8B/wDQtWn5v/jR/wAKm8B/9C1afm/+NUYmz/wl/hn/AKGLSP8AwNj/APiqP+Ev8M/9DFpH/gbH/wDFVjf8Km8B/wDQtWn5v/jR/wAKm8B/9C1afm/+NAGz/wAJf4Z/6GLSP/A2P/4qj/hL/DP/AEMWkf8AgbH/APFVjf8ACpvAf/QtWn5v/jR/wqbwH/0LVp+b/wCNAGz/AMJf4Z/6GLSP/A2P/wCKo/4S/wAM/wDQxaR/4Gx//FVjf8Km8B/9C1afm/8AjR/wqbwH/wBC1afm/wDjQBs/8Jf4Z/6GLSP/AANj/wDiqP8AhL/DP/QxaR/4Gx//ABVY3/CpvAf/AELVp+b/AONH/CpvAf8A0LVp+b/40AbP/CX+Gf8AoYtI/wDA2P8A+Ko/4S/wz/0MWkf+Bsf/AMVWN/wqbwH/ANC1afm/+NH/AAqbwH/0LVp+b/40AbP/AAl/hn/oYtI/8DY//iqq3uu+CtSi8u+1bQblPSa5hbH5mqH/AAqbwH/0LVp+b/40f8Km8B/9C1afm/8AjSaT0ZUZSi7xdmU9nhG0+bRfGlvpTDkJDqcbxZ943Yj8sUf8JtNpf+u1nw5rMI/jt9Qjt5sepVmKn8CKuf8ACpvAf/QtWn5v/jR/wqbwH/0LVp+b/wCNR7NL4dP6+46vrtSX8VKfrv8AerS/E80+JHxzDWraP4dtlJuIWS7nuQG2BgRtUKcE453ZI5pPgz8UbZr270nX3t7aadRJHfSSCNWCIqiNsnAwo4P1qv8AE74H3f8AaCal4M0+N7V0CzWKOFaNh/Eu48g8ZGc5+vB8Mfgfd/2g+peM9PjW1VCsNi7hmdj/ABNtPAAzgZzn6c3ba5zuo1zKGifT8T23/hL/AAz/ANDFpH/gbH/8VR/wl/hn/oYtI/8AA2P/AOKrG/4VN4D/AOhatPzf/Gj/AIVN4D/6Fq0/N/8AGmZmz/wl/hn/AKGLSP8AwNj/APiqP+Ev8M/9DFpH/gbH/wDFVjf8Km8B/wDQtWn5v/jR/wAKm8B/9C1afm/+NAGz/wAJf4Z/6GLSP/A2P/4qvLPjD8VLLTotP07QJrW+vhKl4LqOUSJblW+UfKcFjzkHoPrXdf8ACpvAf/QtWn5v/jXnHxP+B5uBb6h4K0+FDGmy4sVfaX5yHUscZ5wRnsMUmk1ZlQnKElKLszN+GfxwewittB8Q26GyggEVrcW64ddowFYE4OQOvHPXrkem/wDCfvqX/Hle+H9MhPSXUNSjeQj2jRuD9Wryr4cfA/Vp9cjvvF2nrb6ZBk/ZZJAXnbGAMKeFB55649817D/wqbwH/wBC1afm/wDjSlFvqa0q0aa+BN93f8tvvuU/O0S851j4hw3WesVvfxW0R9sIcn8TVyzf4c2Dbre88Pb+vmSXUUj/APfTMT+tH/CpvAf/AELVp+b/AONH/CpvAf8A0LVp+b/40lTgtbFyxteS5eay7LRfcrI2V8XeF1UKviHRwB0AvYv/AIqj/hL/AAz/ANDFpH/gbH/8VWN/wqbwH/0LVp+b/wCNH/CpvAf/AELVp+b/AONWcps/8Jf4Z/6GLSP/AANj/wDiqP8AhL/DP/QxaR/4Gx//ABVY3/CpvAf/AELVp+b/AONH/CpvAf8A0LVp+b/40AbP/CX+Gf8AoYtI/wDA2P8A+Ko/4S/wz/0MWkf+Bsf/AMVWN/wqbwH/ANC1afm/+NH/AAqbwH/0LVp+b/40AXL3VvAupA/bdS8PXGe8txCx/Mmsgw+Cbc7tK8WwaW3pa6smz8UZiv6Vb/4VN4D/AOhatPzf/Gj/AIVN4D/6Fq0/N/8AGodOL1aOini69NcsZu3bp92xT/4Sq403mPxZ4Z1iIfwzXcdvKfYMpK/mBWH4r+ONjouiObKzWXWGbZHEZklhHqxeNjkD04JzXUf8Km8B/wDQtWn5v/jXJfEL4I6VqWgK3hLTrey1OB94QOQs645UknAPQg9PzyBQaejHPEKpFqUFfutPwWn4Hmvw4+L134b1+6TUreCTT9WvmubuRFKvE7nll5xtHp+tfVVfKXhX4G+K9S12CPWdPOnadHIDcSySISyg8qgUnJPTPQV9W9Ks5gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z) +![md5:57630605ba44d719931cd7be749e8b4c](57630605ba44d719931cd7be749e8b4c.jpeg)
Figure 1: A possible diagram of all the arcs.
@@ -175,7 +175,7 @@ Suppose that no rectangle was chosen in at least two operations. In particular, At any point in the process, consider whether the last move by the ant was horizontal or vertical, and whether the most recently chosen rectangle was to the left or the right of the ant's path. In the first move, either the ant moved horizontally and the rectangle was to the left, or the ant moved vertically and the rectangle was to the right. We claim that this invariant is preserved throughout the entire process (see Figure 2 for a sample path). Assuming this claim, the final move to the top right corner must select the top right rectangle. If it is vertical, this is to the left of the path, and if it is horizontal, it is to the right of the path, both of which are impossible, providing a contradiction. -![](data:image/jpeg;base64,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) +![md5:41a5187d3fb1bad8b961c10dabf9477f](41a5187d3fb1bad8b961c10dabf9477f.jpeg)
Figure 2: A possible path by the ant. The red arrows are all vertical, with the corresponding rectangle to the right. The blue arrows are all horizontal, with the corresponding rectangle to the left.
@@ -184,7 +184,7 @@ It remains to show that the invariant is preserved. Since four rectangles cannot First, assume the ant moves up, hence the chosen rectangle \(r\) is on the right. The possible configurations are depicted in the first two diagrams in Figure 3. -![](data:image/jpeg;base64,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) +![md5:195a8a3d40a1bfbbdb6a6a8050490356](195a8a3d40a1bfbbdb6a6a8050490356.jpeg)
Figure 3: Possible ant moves going up or right.
diff --git a/CANADA_MO/segmented/en-CMO2025-solutions.jsonl b/CANADA_MO/segmented/en-CMO2025-solutions.jsonl index efe9903999ba06f14cd220fb3a1de8305a2c2836..30b8c53aa16517415fdeb2ab4cf8941bed08c643 100644 --- a/CANADA_MO/segmented/en-CMO2025-solutions.jsonl +++ b/CANADA_MO/segmented/en-CMO2025-solutions.jsonl @@ -4,6 +4,6 @@ {"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "Canada_MO", "problem": "A polynomial \\(c_{d}x^{d} + c_{d - 1}x^{d - 1} + \\dots + c_{1}x + c_{0}\\) with degree \\(d\\) is reflexive if there is an integer \\(n \\geq d\\) such that \\(c_{i} = c_{n - i}\\) for every \\(0 \\leq i \\leq n\\) , where \\(c_{i} = 0\\) for \\(i > d\\) . Let \\(\\ell \\geq 2\\) be an integer and \\(p(x)\\) be a polynomial with integer coefficients. Prove that there exist reflexive polynomials \\(q(x), r(x)\\) with integer coefficients such that \n\n\\[(1 + x + x^{2} + \\dots + x^{\\ell -1})p(x) = q(x) + x^{\\ell}r(x).\\]", "solution": "Let \\(d\\) be the degree of \\(p\\) and let \\(k\\) be any non- negative integer. We will choose \n\n\\[q(x) = \\frac{x^{d + k + \\ell}p\\left(\\frac{1}{x}\\right) - p(x)}{x - 1},\\] \\[r(x) = \\frac{p(x) - x^{d + k}p\\left(\\frac{1}{x}\\right)}{x - 1}.\\] \n\nFirst, we must show that both \\(q\\) and \\(r\\) are integer polynomials. Consider the numerator in \\(q\\) 's definition, \\(x^{d + k + \\ell}p\\left(\\frac{1}{x}\\right) - p(x)\\) . This is clearly an integer polynomial. As it is equal to 0 when evaluated at \\(x - 1\\) , \\(x - 1\\) divides it. Furthermore, as \\(x - 1\\) is monic, the quotient has integer coefficients. The argument for \\(r\\) is similar. \n\nNext, we will show that this choice of \\(q\\) and \\(r\\) satisfies the desired equation. Plugging them into the RHS of the equation gives \n\n\\[q(x) + x^{\\ell}r(x) = \\frac{x^{d + k + \\ell}p\\left(\\frac{1}{x}\\right) - p(x)}{x - 1} +x^{\\ell}\\left(\\frac{p(x) - x^{d + k}p\\left(\\frac{1}{x}\\right)}{x - 1}\\right)\\] \\[\\qquad = \\frac{x^{d + k + \\ell}p\\left(\\frac{1}{x}\\right) - p(x) + x^{\\ell}p(x) - x^{d + k + \\ell}p\\left(\\frac{1}{x}\\right)}{x - 1}\\] \\[\\qquad = \\left(\\frac{x^{\\ell} - 1}{x - 1}\\right)p(x)\\] \\[\\qquad = (1 + x + \\cdot \\cdot \\cdot +x^{\\ell -1})p(x)\\] \n\nas desired. \n\nFinally, we will show that \\(q\\) and \\(r\\) are indeed reflexive. We can re- interpret the reflexive condition as such: \n\nPolynomial \\(a(x)\\) is reflexive iff there is an integer \\(n \\geq \\deg (a)\\) for which \n\n\\[a(x) = x^{n}a\\left(\\frac{1}{x}\\right).\\]\n\n\n\nWe have \n\n\\[q(x) = \\frac{x^{d + k + \\ell}p\\left(\\frac{1}{x}\\right) - p(x)}{x - 1}\\] \\[\\qquad = x^{d + k + \\ell -1}\\cdot \\frac{p\\left(\\frac{1}{x}\\right) - x^{-(d + k + \\ell)}p(x)}{\\frac{x - 1}{x}}\\] \\[\\qquad = x^{d + k + \\ell -1}\\cdot \\frac{x^{-(d + k + \\ell)}p(x) - p\\left(\\frac{1}{x}\\right)}{\\frac{1}{x} - 1}\\] \\[\\qquad = x^{d + k + \\ell -1}q\\left(\\frac{1}{x}\\right)\\] \n\nas desired. Similarly, \n\n\\[r(x) = \\frac{p(x) - x^{d + k}p\\left(\\frac{1}{x}\\right)}{x - 1}\\] \\[\\qquad = x^{d + k - 1}\\cdot \\frac{x^{-(d + k)}p(x) - p\\left(\\frac{1}{x}\\right)}{\\frac{x - 1}{x}}\\] \\[\\qquad = x^{d + k - 1}\\cdot \\frac{p\\left(\\frac{1}{x}\\right) - x^{-(d + k)}p(x)}{\\frac{1}{x} - 1}\\] \\[\\qquad = x^{d + k - 1}r\\left(\\frac{1}{x}\\right).\\]", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP3.", "solution_match": "\n## Solution 1"}} {"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "Canada_MO", "problem": "A polynomial \\(c_{d}x^{d} + c_{d - 1}x^{d - 1} + \\dots + c_{1}x + c_{0}\\) with degree \\(d\\) is reflexive if there is an integer \\(n \\geq d\\) such that \\(c_{i} = c_{n - i}\\) for every \\(0 \\leq i \\leq n\\) , where \\(c_{i} = 0\\) for \\(i > d\\) . Let \\(\\ell \\geq 2\\) be an integer and \\(p(x)\\) be a polynomial with integer coefficients. Prove that there exist reflexive polynomials \\(q(x), r(x)\\) with integer coefficients such that \n\n\\[(1 + x + x^{2} + \\dots + x^{\\ell -1})p(x) = q(x) + x^{\\ell}r(x).\\]", "solution": "We write degree \\(n\\) polynomial \\(p\\) as \n\n\\[p(x):= \\sum_{i = 0}^{n}p_{i}x^{i}.\\] \n\nDefine vector \\(P\\in \\mathbb{Z}^{n + 1}\\) as \n\n\\[P:= \\left(p_{0} p_{1} \\dots p_{n}\\right)^{T}.\\] \n\nWe also denote \\(X\\in \\mathbb{Z}[x]^{N}\\) for \\(N\\) some sufficiently high degree (e.g. \\(N > 2n + \\ell\\) ) as the vector of powers of \\(x\\) , i.e. \n\n\\[X:= \\left(1 x x^{2}\\dots x^{N - 1}\\right)^{T}.\\] \n\nFor a matrix \\(M\\in \\mathbb{Z}^{(n + 1)\\times N}\\) , \\(P^{T}M X\\) is an integer polynomial of degree \\(< N\\) . Note that if the non- zero entries of matrix \\(M\\) are horizontally symmetric, then the resulting polynomial must be reflexive.\n\n\n\nThen their total is the matrix whose entries are 1 at the parallelogram formed by \n\n\\[(0,0),(0,\\ell -1),(n,n + \\ell -1),(n,n),\\] \n\nwhich is precisely \\(A\\) .", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP3.", "solution_match": "\n## Solution 2"}} {"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "Canada_MO", "problem": "Let \\(ABC\\) be a triangle with circumcircle \\(\\Gamma\\) and \\(AB \\neq AC\\) . Let \\(D\\) and \\(E\\) lie on the arc \\(BC\\) of \\(\\Gamma\\) not containing \\(A\\) such that \\(\\angle BAE = \\angle DAC\\) . Let the incenters of \\(BAE\\) and \\(CAD\\) be \\(X\\) and \\(Y\\) respectively, and let the external tangents of the incircles of \\(BAE\\) and \\(CAD\\) intersect at \\(Z\\) . Prove that \\(Z\\) lies on the common chord of \\(\\Gamma\\) and the circumcircle of \\(AXY\\) .", "solution": "Let \\(AX\\) and \\(AY\\) intersect \\((ABC)\\) again at \\(P\\) and \\(Q\\) , let the inradii of \\(ABE\\) and \\(ACD\\) be \\(r_B\\) and \\(r_C\\) , and let \\((AXY)\\) intersect \\((ABC)\\) again at \\(N\\) . \n\nFirst note that \\(\\angle BAP = \\frac{1}{2}\\angle BAE = \\frac{1}{2}\\angle CAD = \\angle QAC\\) , so \\(XP = BP = CQ = CY\\) . This thus implies that, since \\(NXP\\) and \\(NYQ\\) are spirally similar, \\(NX = NY\\) and \\(NP = NQ\\) (in particular, \\(N\\) is the midpoint of arc \\(XAY\\) on \\((AXY)\\) ). Now, note that \n\n\\[\\frac{ZX}{ZY} = \\frac{r_b}{r_c\\] \\[\\qquad = \\frac{AX\\sin(\\angle PAE)}{AY\\sin(\\angle QAD)\\] \\[\\qquad = \\frac{AX}{AY}.\\] \n\nSince \\(Z\\) lies on the ray \\(YX\\) , we have that \\(Z\\) lies on the external angle bisector of \\(\\angle XAY\\) . But so does \\(N\\) , hence \\(Z\\) , \\(A\\) , \\(N\\) are collinear, as desired.", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP4.", "solution_match": "\n## Solution \n\n"}} -{"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "Canada_MO", "problem": "A rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles with sides parallel to the sides of \\(R\\) such that no three rectangles in \\(S\\) share a common corner. An ant is initially located at the bottom-left corner of \\(R\\) . In one operation, we can choose a rectangle \\(r \\in S\\) such that the ant is currently located at one of the corners of \\(r\\) , say \\(c\\) , and move the ant to one of the two corners of \\(r\\) adjacent to \\(c\\) . \n\nSuppose that after a finite number of operations, the ant ends up at the top-right corner of \\(R\\) . Prove that some rectangle \\(r \\in S\\) was chosen in at least two operations.", "solution": "Consider the following version of the problem: \n\nA rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles such that no three rectangles in \\(S\\) share a common corner. For each \\(r \\in S\\) , draw two non- intersecting arcs inside \\(r\\) , connecting the pairs of adjacent corners of \\(r\\) (there are two ways to do this, by connecting either the horizontally or vertically adjacent corners). Prove that there does not exist a path from the bottom- left corner of \\(R\\) to the top- right corner of \\(R\\) by walking only along these arcs. \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAE1AWwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+s7UfEGjaRLHFqer2FlJJ9xLm5SMt9AxGa0T0r4R1/UtQ1fXr6/1V3a9lmYy7+qnP3fYDoB2xQB92I6SxrJGyujDKspyCPUGnV83fB/xZ44tPDl1Y6L4cOu2ME3yNJdrF5BIyUG7qO+B0z716L/wmPxN/wCibR/+DSKgD0yivM/+Ex+Jv/RNo/8AwaRUf8Jj8Tf+ibR/+DSKgD0yivM/+Ex+Jv8A0TaP/wAGkVH/AAmPxN/6JtH/AODSKgDvdS1zSdGVG1TVLKxEhwhuZ1j3fTcRmrcE8N1Ak9vKksLjckkbBlYeoI618SeN9X1fWvGOp3eto8V8J2je3ZsiAKSBGPYdPfr3rvvgx4o8ZadbalYaBoZ1y0UpI0L3KxLbscjILf3sdP8AZoA+oaK8z/4TH4m/9E2j/wDBpFR/wmPxN/6JtH/4NIqAPTKK8z/4TH4m/wDRNo//AAaRUf8ACY/E3/om0f8A4NIqAPTKpalq+m6PAJ9T1C0soicB7mZY1J9AWIrgP+Ex+Jv/AETaP/waRV8+fEzW9d1vxveP4gtnsrqHbGtkZN6267QQARwc53Z75oA+ybS8tb+2S5s7mG5gflZYXDq30I4NTV8n/BrxH4r0nVb+z8O6S2sRyw+bLZtOIlQggCQM3APOMd8+1eyf8Jj8Tf8Aom0f/g0ioA9MorzP/hMfib/0TaP/AMGkVH/CY/E3/om0f/g0ioA9MorzP/hMfib/ANE2j/8ABpFR/wAJj8Tf+ibR/wDg0ioA9MorzP8A4TH4m/8ARNo//BpFR/wmPxN/6JtH/wCDSKgD0yivM/8AhMfib/0TaP8A8GkVH/CY/E3/AKJtH/4NIqAPTKK8z/4TH4m/9E2j/wDBpFR/wmPxN/6JtH/4NIqAPTKK8z/4TH4m/wDRNo//AAaRUf8ACY/E3/om0f8A4NIqAPTKK8z/AOEx+Jv/AETaP/waRUf8Jj8Tf+ibR/8Ag0ioA9MorzP/AITH4m/9E2j/APBpFR/wmPxN/wCibR/+DSKgD0yivM/+Ex+Jv/RNo/8AwaRUf8Jj8Tf+ibR/+DSKgD0ieeG1gee4ljhhQbnkkYKqj1JPSqmm65pOsq7aXqllfCM4c206ybfrtJxXzb8Z/FHjHUbfTLDX9DOh2jF5FhS5WVbhhgZJX+7np/tVwXgfV9X0Xxlpl1oiPNfGdY1t1bAnDEAxn2PT269qAPt6ivM/+Ex+Jv8A0TaP/wAGkVH/AAmPxN/6JtH/AODSKgD0yivM/wDhMfib/wBE2j/8GkVH/CY/E3/om0f/AINIqAPTKbJIkUbSSOqIoyzMcAD1JrzX/hMfib/0TaP/AMGkVedfGDxZ44u/DlrY614cOhWM83ztHdrL55AyEO3oO+D1x7UAfQGna/o2sSyRaZq1heyR/fW2uEkK/UKTitGvhHQNS1DSNesb/S3db2GZTFs6sc/d9wehHfNfd3agArwr4yfD/Q5Nb0G+tbc2t5rOrRWl08bYVw55fb0De4698mvda80+LX/IQ8C/9jHbfzoBOx0Pw6s7Cw8E2NrYWaWoi3JcRr185TtcsTySSM89sV1Vc1o//Et8Ya1pnSK6C6jAP975JP8Ax4A/8Crpaim2467nVjIRjVbgrReq9Hrb5bfIKKKKs5QoopruscbO7BVUEknsKAPGfiN4H0TxR4vluTA8Elu9jBeTW7bWlee5jjAOQRkRknOM8rnIGK7T4Y6Np+g+GJNNs7ZIbi2upYbthy0kinAYk+q7T6c8VQjRpvBy6tKpEuqa7Y3WD1CG9hCD/vkD863rP/iXePr+26RalapdJ6eYh2OB7kFDWEZPST6/rsepVpQvUoxWsEvvjpL82/kjpaKKK3PLCiiigArxz4xeFdJ168muTb7L6w0qa8nuIjhmUcRK3Y/Nn3wOtex15rrX+neDvHusnkXEcttCe3lwoVyPq281E27pI6sPGPJOpJbLT1en5XfyL/wx8NaV4XsdW02ytgl1b3rxTzucyTKPmjJPptYcDA6+td3XN2n+h/EPUYR92+sIrn/gUbGM/oVrpKKbdrPoGLjFVFKKsmk/vWv43CiiirOUKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDi/ifo2na74T+w3tqk881xFDZk8NHK7BQQR7Z+uOa4r4YeCNE8PeLBcCBp55VvFtJ523GNobmSJgoGBkoEOcZ69M16Lrn+l+LfDtieUR5rxx/uJtU/m/6VztiPs2n6FqK9YfEN9Ax/2JbqdD+u2sJSd2+1v+D+Z6dKlBxhTa1kpP56qP4x/Fno1FFFbnmBRRRQAVy/xDstOv8AwNqcOpWiXUfl/ukbqJSdqEEcg7iOldRXN+Kx9qvNA00ci41BZHHqkSmQj8wtRUbUXY6cHCM68VLZav0Wr/BHlvwX8AaIuqa3qN5bm5vtI1WW0tmkbKpsxhtvQtnuenbBr3avNPhF/wAfHjb/ALGO5/mK9Lqznbu7hXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/wCxjtv50COm8Sf6Dreg6uOFS5NnN/uSjAz7Bwv510tY/iuwbUvC2o2yZ83yS8eOu9fmX9QKuaRfrqmj2V+uMXECS4HYkAkVnHSbXfU7Knv4aE/5W4/Ldfm/uLlFFFaHGFc/40uJIvDM9tAcXF8yWcX+9IQv8iT+FdBXNat/p/jXRLDrHapLfyj3A2J+rMfwrOr8Nu+h14JL26k9o3l9yv8AjsL4nt47PwzYW0I2xQ6jpkaD0AvIAKTxT/omo6Bqo/5d74QSH0jmGw/rtqbxj/yBLb/sK6d/6WQ07xnatd+DtURPvpCZkx13J84/VaKi9x26foGDn/tMeZ7uz9JaP8GbtFQWNyt7p9tdr92eJZB9GAP9anrRO5yyTi2mFFFFAijrV+NL0S+vyR/o8DyDPcgHA/OuS1mwOmfBS/tGB8xNJdpM/wB9lLN+pNa/jf8AfaLb6f8A9BC9gtT9C4Zv/HVNHxB/5J34g/68Jf8A0E1mtaj8kdkvdwkV/NJv7lZfmw1P91490CQdZra6ib3ACMP5Gukrm9X+bxx4bUdVju3P02IP610lEN5ev6IWJ/h0f8P/ALdIKKKK0OQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDm/9Z8SueRDpHHsXm/+wrnZfl+GN3MPvQaxcyr9RqL10UfyfEqcf89NIjI/CVv8RXOzf8kq1Je7andKPqdQcVzv+HP5nr0/98w6/wAH5no1FFFdB5AUUUUAFc3qP73x9ocfaG1uZfxOxf6mukrm735PiHpTHpJYXCD6hozWdTZeq/M68F8cv8Mv/SWcx8Iv+Pjxt/2Mdz/MV6XXmnwi/wCPjxt/2Mdz/MV6XWhyBXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/wCxjtv50Ael1zXgn/R9JutMP/MOvZrZf9zduX/x1hXS1zemD7J461y2PC3UEF2g+gMbf+grWctJRfy/r7jroe9Rqw8lL7nb8pM6SiiitDkCua0T/TfF3iDUDykLRWMR9Ni73H/fT/pXSkgAknAHeub8DgyeGxfN9+/uJrtv+BucfoBWctZxXz/r7zro+7Qqz72j97v/AO2kvjH/AJAlt/2FdO/9LIa254VuLeWF/uSIUb6EYrE8Y/8AIEtv+wrp3/pZDW/WhyptO6Of8DzNN4L0vd96OHyT9UJT/wBlroK5vwV8mkXlv2t9RuogPpKx/rXSVnS+BHVj1bFVLd3+YUUUVochzevfv/Ffhm1PKCWe4Yf7keB+rij4g/8AJPPEH/XhL/6CaLj978RrFD0g0yaQfVpEX+lN+IbKnw78QFmCg2MoGTjnaazhvJ+f6I68TpClH+7+cpMcf9J+I690s9MJPs8kn+CGukrmfCxF9qOu6yCClzd+REw5BjhGwEexbdXTUU9VfuPG+7NU/wCVJfO13+LYUUUVocYUUUUAFFFFABRRRQAUUUUAFFFIzKilmICgZJJ4FAC0UyKWOZA8UiyIejKcin0AFFFFABRRRQBzeof6L4/0aftdWtxak+42yD+TVzsR87wrptj1+1+JLhCP9lb2Z2/RK6Hxpm202z1Zc/8AEtvIrh8dfLzscf8AfLH8q5vwhImqa5ZxRurxabPqdyxU5G+W8lRB/wB87j+Nc8vtR7tfj/wzPXo6qlX/AJYy++N2v/Soo9JoooroPICiiigArm/EJFt4k8M3p+6LmS1J/wCukZx+qiukrn/GsEknhi4uIFzPZMl5F9Y2DH9Aazq/A321+468C17eMX9q6/8AAk1+pynwi/4+PG3/AGMdz/MV6XXl/wAGriK6/wCEynhYNHL4guJFPqpwQa9QrQ5WmnZhXmnxa/5CHgX/ALGO2/nXpdeafFr/AJCHgX/sY7b+dAj0uub1D/RviBo0w/5e7S4tm/4CVkH8mrpK5vxR+51Lw3djqmpLF+Ekbr/hWdX4b+n5nXgtarj3Ul/5K7fjY6SiiitDkMvxJdfYvDGqXIOGjtZCv12nH64qTQbT7D4e061xgw20aH6hRmsvx383hK5tx965khgH/ApFB/TNdJWa/iP0OuWmEj5yf4JW/NmB4x/5Alt/2FdO/wDSyGt+sDxj/wAgS2/7Cunf+lkNb9aHIc34P/1etj/qMXP/AKEK6Sub8G/Na6tJ2k1a6Yf994/pXSVnS+BHXj/95mFFFFaHIc31+JZ9tH/9rf8A1q+aPjP4i1PV/iHqVldTSC0sJfJt7fPyqABlserdc+hA6Cvpd/l+JURP/LTSHA/CZf8AGuM+L3w00XW9K1HxPmW21O0tWkZ4sbZwi8Bwe+BjI7euBWdPr6nXi/8Al3/hX6nm/wADPG+oaRq1zoskdxfWEsJkitkmiUxyBhypldFwQTkA5Jwcda+gP+Eh1M/8yfrf/f6y/wDkisbwl8KvDPhPTZ7VLUX8txjzp7xFdmx0AGMKB7c+54rT/wCEOjs/m0TVL/SyOkSSebD/AN+3yPyxTbknoroinCjONpScZel1+Gv4Mm/4SDU/+hO1v/v9Zf8AyRR/wkGp/wDQna3/AN/rL/5IqHf4w0/70OmatGO6M1tKfwO5f1FL/wAJd9m41PQ9XsiPvP8AZ/OjH/Aoyf5UvaLroafUqj/htS9Gr/dv+BL/AMJBqf8A0J2t/wDf6y/+SKP+Eg1P/oTtb/7/AFl/8kUtv418NXLbU1m1Rv7szeUfyfFasOo2NyAYLy3lB6bJVb+RqlOL2ZjUw1an8cGvVNGT/wAJBqf/AEJ2t/8Af6y/+SKP+Eg1P/oTtb/7/WX/AMkVv0VRiYH/AAkGp/8AQna3/wB/rL/5Io/4SDU/+hO1v/v9Zf8AyRWtNqNjbAme8t4gOu+VV/mayrjxr4atm2vrNq7f3YW80/kmalzit2bU8NWqfBBv0TYn/CQan/0J2t/9/rL/AOSKP+Eg1P8A6E7W/wDv9Zf/ACRUX/CXG540zQtWvSfuubfyYz/wKQj+VJv8Yah92LTNJjPd2a5lH4Dav6mp9oumpt9SqL+I1H1av92/4E3/AAkOpj/mT9b/AO/1l/8AJFfP/wAcvHGoavq1tosaXFjYRQiSW2eaJjJIWPLGJ3UgADAJyDnjpXvX/CHR3nza3ql/qhPWKSTyoc/9c0wPzzWZ4u+FPhnxZpsFq9qLCW3z5M9mioy56gjGGHHfn3HNNOTeqsjOpChCNoycpell+Ov4I+c/hR4v1Dwt4ztFgeWSxun8u5tVkVVkBHB+dlUMDg5JHcZwa+o08SahKgePwjrTowyGWeyIP/kxXD/Cr4V+H9L0Ww8QTxtf319ZpJi5VTHEHUEhVx74yc8enNdq/gvToXaXSp7zSZScn7FMVQn3Q5X9KcnJbIVKNGStOTT9Lr563/Bkv/CQan/0J2t/9/rL/wCSKP8AhINT/wChO1v/AL/WX/yRUPk+MNP/ANXdadq0Q7TobeU/iuV/QUv/AAlN5a8an4b1S3Pd7dVuUH4oc/pU+0S3VjX6lOX8OSl6PX7nZ/gS/wDCQan/ANCdrf8A3+sv/kij/hINT/6E7W/+/wBZf/JFNi8ceG5X8ttUigk7rcq0JH/fYFasGrabdDNvqFpKP+mcyt/I1SnF7MyqYWvT+ODXqmeC/HvxfrT22m6N/Z9/pNpcK8syTvETcYIAGYpHG0dwSOSOOBXmPw58Sap4b8a6bNppmk8+4jgmtYyP9IRmA24JAzzwT0OK+rvGngfR/HmkpZamrhomLwXEJAeInrgnIIPGQeuPYGuY8F/BLQPCGsJqzXNxqN5CcwGYBUiP94KOre5PHpmqMDrv+Eg1P/oTtb/7/WX/AMkUf8JBqf8A0J2t/wDf6y/+SK2Zry1t8+dcwx4673A/nWVdeMPDln/rtass/wB1JQ5/JcmpcordmtOhVqfBFv0TZH/wkGp/9Cdrf/f6y/8Akij/AISDU/8AoTtb/wC/1l/8kVF/wmdpPxpum6rqGejQWjKn/fT7RSfbPF19xb6XYaYn9+8nMz49QqcZ+rVPtY9NTf6jWX8S0fVpfhv+BN/wkGp/9Cdrf/f6y/8AkivJfjh491NNCttFtbO80o3TsLrzZ4C7IAPk/dSuQDnnOM4xzzXqn/CLXV9zrWv312p6wW5FtER6EJ8x/Fqh1n4ceF9a0CTR5dMighYhllgAWVHHRgxySeT1z1ppyb2siJ06EIu0+aXktPvdn+B8h+F/EWpeF9ftdT0uaRJ43G5FJxKueUYdwelfc46V4B8I/hlok+v6zqN6010+iatLaW0b4CExnh2GOT7dPrXv9WcwV5p8Wv8AkIeBf+xjtv516XXmnxa/5CHgX/sY7b+dAHpdc341+TSbKfvBqNrJ/wCRVH9a6Sub8eceELl+6TW7D8JkrOr8D9DrwH+9U13kl97OkooorQ5Dm/GHzRaLD2l1e2BHqAxb/wBlrpK5vxT81/4bT11VW/KOSukrOPxyOutpQpL1f42/QwPGP/IEtv8AsK6d/wClkNb9YHjH/kCW3/YV07/0shq74guxYeHNSu84MVtIw+u04/XFW3ZXOenB1JqC3bsZvgQFvCNrOfvXEk05/wCBSsR+hFdJWb4dtPsHhvTLUjDRWsat9doz+taVTTVoJG2Mmp4ipNbNv8woooqzmOb1T9z478Pyj/lvBdQE/QK4/wDQTR8Qf+SeeIP+vCX/ANBNHi3/AEebQr8cfZ9TjVm9EkBjP/oQo+IP/JPPEH/XhL/6Cazh8Ul/Wx14jWjSl5NfdJv8mjpKKKK0OQKKKKAIbiztbtdtzbQzD0kQN/Osqbwf4bn+/odhn/YgVf5YrboqXGL3RrTr1afwSa9G0c3/AMID4X7aREP913H8jR/wgPhfvpETf7zuf5mukoqfZU/5V9xt/aGL/wCfsv8AwJ/5mJD4P8Nwfc0Owz6tArfzzWrb2draLttraGEekaBf5VNRVKMVsjGpXq1Pjk36tsKKKKoyCiiigDnvAf8AyT/w9/2DoP8A0AV0Nc94D/5J/wCHv+wdB/6AK6GgAooooAjmghuE2TRJIn911BH61lz+FPD1ySZdE08k9SLdQfzArYopOKe6NIVqlP4JNejOcPgHwuTkaPCv+6zL/I0n/CA+F++kxn2Mjn/2aukoqPZU/wCVfcb/ANoYv/n7L/wJ/wCZgw+CvDMBGzQ7I4/vxB/55rUttNsLLH2WytoMf88olX+Qq1RVKEVsjKpia1T45t+rbCiiiqMQooooA80+EX/Hx42/7GO5/mK9LrzT4Rf8fHjb/sY7n+Yr0ugArzT4tf8AIQ8C/wDYx23869LrzT4tf8hDwL/2Mdt/OgD0uub8e/8AIm3vu8I/8jJXSVzfjn5vDRi/563dsn/kZD/Ss6v8OXodeX/73S/xL8zpKKKK0OQ5vxPxqvhpu39pY/OJ66Sub8W/LN4ek/u6vCPzV1/qK6Ss4/FI66/8Ck/J/mzA8Y/8gS2/7Cunf+lkNQ+Nv9I0e30wddRvIbbj+7u3N/46pqbxj/yBLb/sK6d/6WQ1Def8TDx9p1sOY9NtZLp/Te/yIPrgOaKvw276DwOlb2n8qcvu2/GyOlooorQ4wooooAw/GNo974R1KOL/AFqQmaPHXchDj9VrO8Y3aah8KtWvI/uXGlvKv0ZM/wBa6xlDqVYAqRgg9684vGMPwi8TaW5Jk0yK6tDnqVAJQ/8AfLLWe1T1X5HYvfwrX8sr/KSs/wAUvvPSKKKK0OMKKKKACiiigAooooAKKKKACiiigAooooA57wH/AMk/8Pf9g6D/ANAFdDXPeA/+Sf8Ah7/sHQf+gCuhoAKKKKACiiigAooooAKKKKACiiigAooooA80+EX/AB8eNv8AsY7n+Yr0uvNPhF/x8eNv+xjuf5ivS6ACvNPi1/yEPAv/AGMdt/OvS680+LX/ACEPAv8A2Mdt/OgD0uub8YfPHosH/PXVrcEeoUlz/wCg10lc3rv7/wAWeGbXqolnuGH+5Hgfq4rOr8Nv63OvA/x1Lsm/uTf6HSUUUVochzfjb93o9pddrbULWYn0xKo/rXSVgeN4Gn8Fasq/eSAyj6oQ/wD7LW1bTrc2sM6/dlRXH0IzWa/iP0X6nXPXCwfaUl+Ef+CYvjH/AJAlt/2FdO/9LIah8J/6dNq+uHkX90UhPrDF8i/mQx/GvmH4meOtb8Q+MNShkvbiGxtLp4be1RyqIEbAYgdWyM5PQ/QV6J8DfiLdLY3ehasL68itlWS0a3tZLh0UkhlOxScdCCfcelU43afYzp1eSnOCWsrfctX+NvuPf6K57/hMbD/oH67/AOCW6/8AjdH/AAmNh/0D9d/8Et1/8bqjA6Giue/4TGw/6B+u/wDgluv/AI3R/wAJjYf9A/Xf/BLdf/G6AOhrzXx5/wASxPE8Z4h1fRpJV95ol2kD/gDKfwrqf+ExsP8AoH67/wCCW6/+N180/GDxxqPiPxhc2SyXFvptixigt3jaJs4G5nUgHJ54PQY96mUb28jejVVPmTV1JNfqvuaTPreivmT4TfEXxQJ59CNzLewmPzY5Jrea7eAAgHasYLEHI68DHvz6r5lpe863d+LdQz96FNIureE/8ASMH8yaTk72SHTpU3HmqTt5Wbf+X3tHY6h4m0TSmK3uqW0UgOPL37n/AO+Rk/pVD/hLvtPGmaHq16D92T7P5MZ/4FIV/lVPT9V8N6SoFh4f1S3PTdHoNyGP1Pl5NX/+ExsP+gfrv/gluv8A43StN7u39f10NOfCw+GDl6uy+5a/+TDPt3i65H7nRdOs/e6vDIfyRf60fZPGM/8ArNW0m2/64Wbv/wChPT/+ExsP+gfrv/gluv8A43R/wmNh/wBA/Xf/AAS3X/xuj2fdv+vQX1u3wU4r5X/9KuM/sbxOfveLFH+5psY/mTR/Y3icfd8WKf8Af02M/wAiK8C+M/xG1XU/Ej6Np1zfWOmWyKGiKPbvK5AYl1YBsDIAB44z3p3wX+Iuraf4kTRtQuL6/wBNuY32xLG9w8TqCwKKoLY4IIHHOe1Hs4+f3v8AzD67V7R/8Ah/8ie9/ZPGMH+r1XSbn/rtZun/AKC9H27xdbD99ounXnva3hjP5Ov9af8A8JjYf9A/Xf8AwS3X/wAbo/4TGw/6B+u/+CW6/wDjdHs+zf8AXqH1u/x04v5W/wDSbDP+Eu+zcanoerWQH3pPs/nRj/gUZb+VX9P8S6JqrBbLVLaWQ8eXvCv/AN8nB/Sqf/CY2H/QP13/AMEt1/8AG6oajqvhvVlIv/D+qXB/vSaDclh9D5eRRaa2d/6/roPnws/ig4+juvuev/kx2FFec+ZaWXOiXfi2wx92GTSLq4hH/AHjJ/IivKfiz8RfFDXEGhC5lsoRH5sjw281o84JIG5ZAGAGD04Oe+OGpO9mjOpSpqPNTmn5Waf+X3NnvfgP/kn/AIe/7B0H/oAroa+Uvgx431nS/Gum6K15PPpd6/kNbSOWVCQdrJn7uDjOOoz7Y+ras5wooooAKKKKACiiigAooooAKKKKACiiigDzT4Rf8fHjb/sY7n+Yr0uvNPhF/wAfHjb/ALGO5/mK9LoAK80+LX/IQ8C/9jHbfzr0uvNPi1/yEPAv/Yx2386APS65sf6V8RmPVLLTAPo8kn+CfrXSVzfhn/StY8R6l2kvRbL/ALsKBf8A0ItWc9XFeZ14b3YVJ9o2+9pflc6SiiitDkIL22W8sLi1b7s0TRn6EEf1rJ8GXDXXg3Snf76QCJvqnyH9Vrdrm/CX+jS63ph4NrqMjIvpHIBIv/oRrN6TTOun72GnHs0/lqn+LR5r8T/gzYalqT+INOvzZS3l5bxXEBi3ozzTJEXHII5fcRznnpXWeE/g/wCHfDOkNayq99eSMHkvWzE4I6BNpyoHpk9ec10fjH/kCW3/AGFdO/8ASyGt+raTVmc8Kk6clKDs11RzX9ga3p/Ok+IpnQdINSjE6n23jDAfiaBrPiKx41Hw79pQdZtNuA+f+APtP866Wio9nb4W1/XmdP1ty/iwUvlZ/fG1/nc5xfHGhqwS9luNPlP8F7bvEfzIx+ta1rrGmXwH2TUbSfPTyplb+Rq4yq6lWUMp6gjINZN14W0C9ybjRrF2PVvIUN+YGaP3i7MV8JLpKPzT/Cy/M168q+IXwTsfGmsNrFlqB06/lAE+YvMjlwMA4yCDgAe+Oneux/4QTw8n+ptZoP8Arjdyp+gbFH/CFWA+5f6wn+7qMv8AjRefb8f+AHs8K9qj/wDAV/8AJMx/hx8LtO+H0VxMl017qNyoSS5ZNgCA52quTgZ5PJzgV3hIAyTgVzf/AAhWnN/rLzVpB6PqEvP/AI9S/wDCB+Gycy6e059Z7iST/wBCY0Xn2X3/APAD2eFW9SX/AICv/kkaN34h0axB+1arZREdnnUH8s5rN/4TbS5uNNg1DU2/6c7R2H/fRAX9a0rTw9otiQbXSbKFh/EkCg/njNaVFqj6pBzYWO0ZS9Wl+CT/ADOa/tDxXf8AFpo9pp6H/lpfz72x/uR9/q1H/CL3l9zrWv3t0p6wW2LaIj0IX5iPq1dLRR7NP4ncf1yUf4UVH0Wv3u7XyaPIviT8G9D1bSpdU01v7LurG2d2CJvSdVBbDAnO7tuz9c8Yg+C/gPT/AA/eX19cSNcaukcWxiMIkMqK4Kj1PIJ9u3Nen+J/+RT1n/rxn/8AQDXOad/xLNQ8K344h1DTksJj23hA8Z+vDj8aJe7a2wqK9u5qesmm0/Nav70n8zuKKKK0OQKKKKACvL/i/wCBNP8AFselOHaDWHuFtLeVRkFGJZt47hQGPHTPvXqFc1/yE/iBjrDo9r+U03+CL/49UTbSst2dOFpxlJymtIpt/p97aRwHwh+E+n6NDp3i26u2vL2e2Wa3j8vYkG9ee53NgkZ4HJ4717JXPeA/+Sf+Hv8AsHQf+gCuhqzmCiiigAooooAKKKKACiiigAooooAKKKKAPNPhF/x8eNv+xjuf5ivS680+EX/Hx42/7GO5/mK9LoAK80+LX/IQ8C/9jHbfzr0uvNPi1/yEPAv/AGMdt/OgD0S+uksbC5vJf9XBE0rfRQSf5Vk+DbV7Twlp4l/100ZuJT3LSEuc/wDfVQeNmaXRI9MjJEmp3MdoCOyscuf++Q1dGqqiKigBVGAB2FZ71PRfmdj9zCpfzSv8oqy/Fv7haKKK0OMK5pP9A+Ikq9I9TsA/1kibB/8AHXH5V0tc14u/0N9H1kcfYb1RK3pFL+7f+an8KzqaLm7f1+R2YL3qjpfzJr57r/yZIm8Y/wDIEtv+wrp3/pZDW/WB4x/5Alt/2FdO/wDSyGt+tDjCiiigAooooAKKKKACiiigAooooAKKKKAMrxP/AMinrP8A14z/APoBrC1C1kn+GNlNAP8ASbO0t7yE+jRqrfyBH41u+J/+RT1n/rxn/wDQDS+H1V/CulowBVrKIEHuNgqZR5otGtCq6VWNRdGmXrS5jvbKC7hOYp41kQ+xGR/Opq5zwSzRaE+muSZNNuZbMk9wrZU/98la6OiEuaKZWJpKlWlBbJ6enT8AoooqjARmCqWYgKBkk9q5zwUpuNKudXcESapdSXIz1CZ2oP8AvlR+dT+MbuS08KX3k/6+dBbRDuXkIQY/76z+FatjaR2Gn21nF/q4IliX6KMD+VZ7z9P1Oxe5hW+snb5R1f4tfcY3gP8A5J/4e/7B0H/oAroa57wH/wAk/wDD3/YOg/8AQBXQ1ocYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5p8Iv+Pjxt/2Mdz/ADFel15p8Iv+Pjxt/wBjHc/zFel0AFeafFr/AJCHgX/sY7b+del15n8XCFvvAxJAA8R2xJP1oA6ef/iZfEC2iHMWlWrTN7Sy/KoP/AQx/GulrmvBoN3aX2tyA79UumlTPURL8kY/75XP410tZ09Vzd/6/I7Mb7tRUv5Fb57v/wAmbCiiitDjCqGt6cur6He6e2P9IhZAT2Yjg/gcGr9FJpNWZUJuElOO61OJudRbVfh/pF3Jnzm1DTUmB6iRb2FW/UGu2rzrUv8AiXXWp6O3CSaxpmoW/usl5CHA9g4P516LU023HU6MZCMaz5dnqvR6r7tgooqnfatp2mLuvr62th/01lC5+metU2lqznjCU3yxV2XKK5v/AITfS5jjToNQ1I/9Odo7D/vogL+tH9u+ILjm08KTKp6Nd3kcX6Dcaj2semvpqdP1GuviXL/iaj+bR0lFc35vjSXlbXQ4B6PNLIR+SijyfGjcm80JPZbaU/zej2nkw+qW3qRXzv8Alc6Siub8rxovS60GT/eglX+TUfaPGUPL6fo1yPSG6kjP/jymj2ndMPql/hnF/O352Okorm/+Ei1m3/4/vCl8q/3rSeOf9Mg/pSp440RXEd5LcafKf4L63eH9SMfrR7WHV29dA+o4j7Meb/C1L8mzo6Kgtb21vovNtLmG4j/vRSBx+YqetE7nK4uLszK8T/8AIp6z/wBeM/8A6Aad4d/5FjSf+vOH/wBAFN8T/wDIp6z/ANeM/wD6Aad4d/5FjSf+vOH/ANAFAjN07/QvHur2v8N7bQ3iDtlcxv8AyWulrm9b/wBE8X+Hb3osrTWch9dy7lH5p+tdJWdPS68/+CdmL95U6neK/D3f0CiiitDjOa8Q/wCmeIvDum9V+0PeyewiX5f/AB5l/KulrmrX/TPiJqEv8NhYRW4/3pGLn9FWulrOGrb8/wAtDsxXuxp0+0U//Ave/Jo57wH/AMk/8Pf9g6D/ANAFdDXPeA/+Sf8Ah7/sHQf+gCuhrQ4wooooAKKKKACiiigAooooAKKKKACiiigDzT4Rf8fHjb/sY7n+Yr0uvNPhF/x8eNv+xjuf5ivS6AAnAzXxn47+I+s+NNbM8ly8Nhbzl7K2T5RFj7re7Y7/AJYFfZlfMPxM+EA0TxHYTaTeRLZ61qK2sMEoINvJIemRnKD8x0560AnY7f4S/Fi0uvCxsPEVysNzYFYopFhY+bFj5chQQCMEe/HvXff8LG8Kf9BX/wAl5f8A4msPwf8ACSx8KaKsMOqXyao53zXtrKY9x7Ls5BUe4J5P0G+I/F2mfcmsdahHaQfZpj+Iyh/IVDk49NDqjRjVV1UXN2en47fe0M/4WN4U/wCgr/5Ly/8AxNH/AAsbwp/0Ff8AyXl/+JqQeM7S1ITWbC/0puhe4hLRE+0iZX88Vt2WpWOpReZY3kFynrDIGx+VEZxlomRVwtakuacXbv0+/YwP+FjeFP8AoK/+S8v/AMTR/wALG8Kf9BX/AMl5f/ia6mirMD5E+JHxK1TxH4wnlsLuS1sbOTyrTySUZlRwwdj1yWRWAPTA7jNdv8OvjLrV1p8ul6rLazXUWGjv7sv9zphljUliPXj3rQ8e/AO51vxHc6t4ev7SBbyQyzW93uUK5OWKsoPBOTgjj19O3+GHw0g+H2m3BkuVu9Su9vnzKuFVRnCKDzjk89/wpNXVkaQqcsk2r26PYzv+Ej0i/wCdY8bXTKesFhayW6fQkKWI/GrljrXw205/Mtzb+b182S1lkfP+8yk/rXoVFSqcVrY2lja8lyqVl2Wi+5WOW/4WL4UH/MV/8l5f/iaP+FjeFP8AoK/+S8v/AMTXU0VZynLf8LG8Kf8AQV/8l5f/AImj/hY3hT/oK/8AkvL/APE11NFAHLf8LG8Kf9BX/wAl5f8A4mj/AIWN4U/6Cv8A5Ly//E11NFAHLf8ACxvCn/QV/wDJeX/4mkf4h+EpEKPqYZTwQ1tKQf8Ax2uqrM1HxFo2k5F9qVtC4/5ZlwXP/ARyfypNpK7Lp051JctNNvyOLutT+GtzL5yzLaz9prOGaBwfXKKM/jUH/CWWunc6X4z+1RjpBqlnK/8A5EVA35g11P8AwlN5fcaLoF9dA9J7kfZoiPUFvmP4LSf2T4k1P/kJa3HYxHrBpkeG/wC/r5P5AVg+R/Avu0PTi8RBWxE0l2l7z+7Vr8PU8F+J3xf1zVLg6Lp0osLRI9ty1s5JuCw/vFQwXB6YHfOa1/gd8SNauvEcHhbVbl7y1nib7K8vLwsilsbupXap4PTAxW78TvgtbajaS65o960F3bQM9yt3I0n2gKCd27khsDHoeOne58IPhMvhd4fEmo3cdzfT24NvHEDshVwCTk8liDjoAOeua3je2p5tVxc24bf15v8ANneeN/3Wi299/wA+N9b3H4CQKf0Y10lYnjG3+0+DdYj6n7JI4+qjcP5Vpadcfa9MtLn/AJ7QpJ+YBqFpUfov1N564WD7Skvwi1+pZooo6VochzfhT9/eeIb48mbU3iB9VjVUH6g10lc34E+bwhaTn71y8s7H13yMf5EV0lZ0vgTOvH6Ymcezt92n6HPeA/8Akn/h7/sHQf8AoAroa57wH/yT/wAPf9g6D/0AV0NaHIFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafCL/AI+PG3/Yx3P8xXpdeafCL/j48bf9jHc/zFel0AFeafFr/kIeBf8AsY7b+del15p8Wv8AkIeBf+xjtv50Ael0UUUABAIIIyDWJe+ENBv5PNl02GObr50GYnz67kwa26KUoqW6NKVapSd6cmn5OxzX/CNalaD/AIlnifUIh/cvFW5X6fMA360vm+MrT71tpGooP+ecj27n8ww/WukoqPZpbNo6Prk5fxIxl6pX+9Wf4nN/8JNqNvxfeFtUjPrbGO4H/jrZ/Sj/AITnRY+Ls3tm3925spVx/wCO4rpKKOWa2l+H/DC9th5fFTt6Sa/NSMGLxt4Zm+7rdkP9+QL/ADxVpfE2gv8Ad1vTW+l0n+NX5bW3n/1sEUn++gNVW0PSH+/pVi31t0P9KP3nkF8I+kl80/0Qz/hItE/6DGn/APgSn+NRv4p8PR/e1zTR/wBvSf41J/wj2if9AfT/APwGT/CpU0bS4/8AV6bZr/uwKP6UfvPIP9k/vfgZcnjrwxGcHWbdz6R5c/8AjoNM/wCE10+X/jystWvfe3sJMfmwAroY4o4hiONUHooxT6LT7r7v+CHtMKtoSfrJfpFfmc3/AG/rtz/x5eFbkKejXlzHDj6gFjSeR4xvBiS80rTVPeCJ53H4sQP0rpaKORvdv+vQPrUY/BTivvf/AKU2vwOa/wCEQF1zq2tapf5+9GZ/JiP/AAGMD+daeneH9I0nH2DTbaBv76Rjcfq3U/nWlRTVOKd7E1MXXnHlcnbstF9y0CiiirOYyvE//Ip6z/14z/8AoBp3h3/kWNJ/684f/QBTfE//ACKes/8AXjP/AOgGneHf+RY0n/rzh/8AQBQBZ1KH7Rpd3D18yF0/NSKz/CE3n+DdGc9fsca/koH9K2iAQQehrnPARJ8D6UD1WMr+TEf0rN/xF6P9DrjrhJeUo/ipf5HR1U1WXyNIvZs48uCRvyUmrdZPih/L8Jay3cWM2P8Avg1UnaLZjQjzVYx7tfmM8JReT4P0ZP8ApziJ+pUH+tbNUdFTy9C09P7ttGP/AB0VeogrRSHiJc1acu7f5nPeA/8Akn/h7/sHQf8AoAroa57wH/yT/wAPf9g6D/0AV0NUYhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHmnwi/4+PG3/Yx3P8xXpdeafCL/AI+PG3/Yx3P8xXpdABXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/7GO2/nQB6XRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBleJ/wDkU9Z/68Z//QDTvDv/ACLGk/8AXnD/AOgCm+J/+RT1n/rxn/8AQDTvDv8AyLGk/wDXnD/6AKANOub8Bf8AIk6d9JP/AEY1dGzBVLHoBmud8BKV8DaTnqYS35sT/Ws3/EXo/wBDrh/uk/8AFH8pnR1jeLf+RO1r/rym/wDQDWzWV4mTzPCmsJ/esph/44aqfwszwrtXg/NfmWtL/wCQTZf9cE/9BFW6oaG/meH9Nk/vWsR/NBV+nHZEVlapJebOe8B/8k/8Pf8AYOg/9AFdDXPeA/8Akn/h7/sHQf8AoAroaZmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafCL/j48bf8AYx3P8xXpdeafCL/j48bf9jHc/wAxXpdABXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/wCxjtv50Ael0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZXif/kU9Z/68Z//AEA07w7/AMixpP8A15w/+gCm+J/+RT1n/rxn/wDQDTvDv/IsaT/15w/+gCgCfVpvs+jX0/8Azzt5H/JSap+E4fs/hDR4+4s4ifqVBP8AOofGs5t/BeruOrWzRj6v8v8AWtizgFrZQW46RRqg/AYrP/l58v6/I63phF5y/Jf/AGxNVbUIftGm3UAGfMhdMeuQRVmitGrnLGTi010MTwdN5/g3RnznFpGv5KB/Stuub8C/u/C8dqfvWlxPbkem2VsfpivPvjR8U9U8JXttoWgskN5LD581yyBzGpJCqoPGeCSSD2qKTvBeh046PLiaiX8z/M9E8B/8k/8AD3/YOg/9AFdDXzH8M/jRqmjzW2ia1svNNEYhtmJSJoCBhQXOF29iW5HXPavWf+E1bU/veLPC2iwnsl9FczD8SwQfkacpW0tcilQ9ouZyUV5v9Fd/cj0MnAyelY174s0DT2KXGrWokBwY0fe//fK5NcsG8CXBDat4ztNVbri61iPYD7IrBf0rYsvEXgLTV22OteHLYf8ATG7gXP5GpvUfS39f11NeXCw3bl6WS+93f4E3/CZQzf8AHjo2s3qno8dmUQ/i+2j+2/EcvMHhOQL2NxfRp+g3Gpv+E38J/wDQ0aL/AODCL/4qj/hN/Cf/AENGi/8Agwi/+Ko5ZdZfl/wRe3oL4aSfq2/ycSH7Z4wf7uj6XH/v3rH+SUfavGK8nTNHf2W7kH80qb/hN/Cf/Q0aL/4MIv8A4qj/AITfwn/0NGi/+DCL/wCKo5H/ADP8P8g+tQ/59R/H/wCSIf7W8Ux/6zwxBKPWHUV/kyj+dB8VXcHF74Y1mI9zDGk4H/fDE/pU3/Cb+E/+ho0X/wAGEX/xVH/Cb+E/+ho0X/wYRf8AxVHJL+b8g+sUXvSXycv1b/IZF438PSSCKW/FpL/cu42gI/77AFblvcwXUQlt5o5oz0eNwwP4isObxh4NuIzHP4j0GVD1V76FgfwLVhXB+Gkspmg1zRbGftLY6mkDD/vlgP0o/eLs/wAP8x/7JP8Amj90v/kf1O+orzz+37bTudN+I2h3kY6QapdQt/5ERg35g1zXjb41zaLohh06LTpNWmbbHPa3sd1Cijq+FOQemAw/PGC1PWzViJ4dKLnCakvWz+52f3XN34Rf8fHjb/sY7n+Yr0uvkXwB8WNX8K6/LJdulzp2o3ZuL9DGAxdz80ikAYPfHTjGB1r6661ZzBXmnxa/5CHgX/sY7b+del15p8Wv+Qh4F/7GO2/nQB6XRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBleJ/wDkU9Z/68Z//QDTvDv/ACLGk/8AXnD/AOgCm+J/+RT1n/rxn/8AQDTvDv8AyLGk/wDXnD/6AKAM7xp++0/T7Dte6lbwsP8AZDbz+iV0lc3qn+meONCtBytrFPeSD8BGv6sa6Ss46yk/6/rU66/u0aUPJv73b8kgooorQ5Dm/DH+j6v4ksD1jv8A7QPpKit/PdXFfF/4UXXjae21fR5oU1KCLyZIZjtWVASRg9mBJ69c9RjntE/0P4jTL0TUNOV/q8Tkf+guK6Ws6e1uzZ2Y3Wop/wA0Yv8ACz/FM+dPhZ8F7y4ks/Ems3htrZolns47ST96Swyrk4wuAc455647+w/2X4l03/j1vLDVYR/yzvYfKkx6B04J+q1Z8B/8k/8AD3/YOg/9AFdDVSgnqZUsRKmuWya7NJ/juvk0ct/wkn2PjWPDl9ZY+9LFCLiIf8CTJ/MVesfEPhzUeLXULB3/ALhZVf8A75OD+lbdUb7RtM1Mf6dp9rc+8sSsfzIqbTWzv/X9dDX2mGn8UHH0d19z1/8AJi0IICMiKPH+6KPs8P8Azxj/AO+RXP8A/CD6LFk2S3lgx72d5JH+gbH6Uf8ACL3sX/Hr4p1hPaZo5f8A0JKOaa3X4/8ADC9jh5fDUt6xt+TkdB9nh/54x/8AfIo+zw/88Y/++RXP/wBieJB93xdIR/t6fEf5Yo/sXxKevi0/hp0X+NHPL+V/h/mH1al/z+j90/8A5E6D7PD/AM8Y/wDvkUfZ4f8AnjH/AN8iuf8A+Ed1iXi48W6gw/6YwQx/yU0f8IZZy8Xup6xeqeqz3zhfyTaKOaT2j/X4h7Cgviq39E3+fKat5e6Tpylr24srYf8ATZ1X+dYzeL9FmJTTLO61RxxiytCyj6sQF/Wr9n4S8P2DBrfSLQOOjvGHb/vpsmtgAKAAAAOgFFqj7L8R82FhspS9bL8Ff8zl93ifUeINL07SYj/HdN58uPUKmFB+prlvHfwkn8W6IM65NNq8Lb4HnVUg5+8uxR8oPHPJ4FepUU1Czu3cieKcouEYqKfZfq7v8T5S+HXwhvfEuv3LajNDFp2lXzW14qtueR0PKLxjB6Z9+9fVteafCL/j48bf9jHc/wAxXpdWcwV5p8Wv+Qh4F/7GO2/nXpdeafFr/kIeBf8AsY7b+dAHpdFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGV4n/5FPWf+vGf/wBANO8O/wDIsaT/ANecP/oApvif/kU9Z/68Z/8A0A0miTR23hDTp5W2xx2ETsfQCME0DSbdkUNH/wBO8Z69fnlLdYrGJv8AdBdx+bj8q6Wue8FQyL4Zhu5lxPfyPeyfWRiw/wDHdtdDWdL4b99fvOrHNe3cVtG0f/AVb8bXCiiitDkOa8T/AOiap4f1UdIL37PIewSZShJ/4Ftrpax/Fdg2peFtRto8+b5JeLHXevzL+oFW9Iv11TR7O/TGLiFJMDsSMkfgazWk2u+v9fgdlT38NCX8rcfluvzl9xl+A/8Akn/h7/sHQf8AoAroa57wH/yT/wAPf9g6D/0AV0NaHGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafCL/AI+PG3/Yx3P8xXpdeafCL/j48bf9jHc/zFel0AFeafFr/kIeBf8AsY7b+del15p8Wv8AkIeBf+xjtv50Ael0UUUAFFMmmit4mlmlSONeruwAH4msGXxtoglMNnNNqM4/5Z2ELTH81G39amU4x3ZtSw9Wr/Di36I6Giub/tjxJe/8ePhxbZD0l1G5VPzRNx/Wj+zfFV3zc6/a2Y7pY2Yb/wAekJ/lU+0vsm/68zX6py/xJxj87/8ApNzpKZJLHEu6SRUX1Y4Fc9/wh0U3/H9rOtXgPVXvCin8E20+LwN4Zibd/ZEMres5aU/+PE0Xn2/H/gB7PCreo36R/wA5L8i/L4i0SA4m1jT4z6PcoP61Ufxn4aTrrlifpMD/ACq3D4e0W3/1OkWEf+5bIP6VbSytY/uW0K/SMCj955BfCLpJ/NL9GY//AAm/hj/oN2f/AH8qRPGHhuT7uu6eP964Vf5mtf7PD/zxj/75FRPp1lKMSWdu4/2olP8ASi1Tuvu/4Ic2E/ll96/+RIoNa0q5OINTs5c/8851b+Rq6CGAIIIPcVlTeGNAuP8AW6Lp7H1NsmfzxVI+BPDgYtDYNbP13W08kWP++WAovU7L+vkHLhH9qS+Sf/tyOjorm/8AhFbmDmw8S6xA3YSyrOo/Bwf50fZ/GFn/AKq/0vUVH/PxA0Dn8VJH6Uc7W8Q+rU5fBVXzuv0t+J0lFc1/wkmq2f8AyE/DN8i/89LJ1uV+uBhh+VWrLxdoN/L5MWpRRz9DDPmJ8+m18Gmqkdrilgq6XMo3Xdar71c26KOtFWcpleJ/+RT1n/rxn/8AQDXP6nK5+HGlafC22fUobayQjtvUbj/3yGroPE//ACKes/8AXjP/AOgGuc0P/iaaxoEI5g0jSYpnx/z2lQKoP0UMfxrOr8Nu+h14JWq+0e0Pe+7b73ZfM7WKJIIUhjULHGoVQOwHAp9FFaHI3fVhRRRQAVzXg/8A0OPU9EPB068dY1/6Yv8AvE/RiPwrpa5q6/4lnjyzuekOqW7Wsnp5sfzoT7lS4/Cs56NS/rX/AINjsw3vwqUu6uvWOv5cxJ4D/wCSf+Hv+wdB/wCgCuhrnvAf/JP/AA9/2DoP/QBXQ1ocYUUVUvdV0/Tl3X19bWw/6bSqn8zSbS3KjCU3aKuy3RXOHxzoLEra3E964422ltJL+oXH60n/AAldxLxb+Gdckz0MkKRD/wAeYH9Kj2sOjOn6hiftQa9dPzsdJRXN/wBu+IW5j8I3GPV76Ff0yaP7b8SDr4RkP01CH/Gj2sfP7n/kH1Kr3j/4HD/5I6Siub/4SXUov+Pnwpqq+vktFL/J6P8AhNdOi/4/bPVbEetzYyAfmoIo9rDqw+o4h/DG/o0/ybOkorIsvFOg6iQtrq9nI56J5oVv++TzWv1q1JPZmFSlUpu1SLT81YKKKKZmeafCL/j48bf9jHc/zFel15p8Iv8Aj48bf9jHc/zFel0AFfKvxG+L134j8RWg0y3gjsNIvlubR3BZpZEPDNzjafT9a+quowa+UvFPwO8V6brs8ejaedR06SQm3ljlQFVJ4VwxBBHTPQ0AepeFPjhZa3oqG7ski1hTski89IYT6MHkYYB9OSMVuf8ACSzanzc+MfDukQn/AJZ2l1HNLj0LscA+4Fc98PfgjpWmaAzeLdPtr3U533lNxKwLjhQQcE9ST0/LJ63/AIVN4D/6Fq0/N/8AGocLvVnTDEKnFKEFfu9fwen4FaGHwD5qzX3iCw1ScdJNQ1NJv/HS20flW/D4p8KW8Qjh17RY4x0VLyIAfgDWT/wqbwH/ANC1afm/+NH/AAqbwH/0LVp+b/404wjHZEVcRVq/xJNmz/wl/hn/AKGLSP8AwNj/APiqP+Ev8M/9DFpH/gbH/wDFVjf8Km8B/wDQtWn5v/jR/wAKm8B/9C1afm/+NUYmz/wl/hn/AKGLSP8AwNj/APiqP+Ev8M/9DFpH/gbH/wDFVjf8Km8B/wDQtWn5v/jR/wAKm8B/9C1afm/+NAGz/wAJf4Z/6GLSP/A2P/4qj/hL/DP/AEMWkf8AgbH/APFVjf8ACpvAf/QtWn5v/jR/wqbwH/0LVp+b/wCNAGz/AMJf4Z/6GLSP/A2P/wCKo/4S/wAM/wDQxaR/4Gx//FVjf8Km8B/9C1afm/8AjR/wqbwH/wBC1afm/wDjQBs/8Jf4Z/6GLSP/AANj/wDiqP8AhL/DP/QxaR/4Gx//ABVY3/CpvAf/AELVp+b/AONH/CpvAf8A0LVp+b/40AbP/CX+Gf8AoYtI/wDA2P8A+Ko/4S/wz/0MWkf+Bsf/AMVWN/wqbwH/ANC1afm/+NH/AAqbwH/0LVp+b/40AbP/AAl/hn/oYtI/8DY//iqq3uu+CtSi8u+1bQblPSa5hbH5mqH/AAqbwH/0LVp+b/40f8Km8B/9C1afm/8AjSaT0ZUZSi7xdmU9nhG0+bRfGlvpTDkJDqcbxZ943Yj8sUf8JtNpf+u1nw5rMI/jt9Qjt5sepVmKn8CKuf8ACpvAf/QtWn5v/jR/wqbwH/0LVp+b/wCNR7NL4dP6+46vrtSX8VKfrv8AerS/E80+JHxzDWraP4dtlJuIWS7nuQG2BgRtUKcE453ZI5pPgz8UbZr270nX3t7aadRJHfSSCNWCIqiNsnAwo4P1qv8AE74H3f8AaCal4M0+N7V0CzWKOFaNh/Eu48g8ZGc5+vB8Mfgfd/2g+peM9PjW1VCsNi7hmdj/ABNtPAAzgZzn6c3ba5zuo1zKGifT8T23/hL/AAz/ANDFpH/gbH/8VR/wl/hn/oYtI/8AA2P/AOKrG/4VN4D/AOhatPzf/Gj/AIVN4D/6Fq0/N/8AGmZmz/wl/hn/AKGLSP8AwNj/APiqP+Ev8M/9DFpH/gbH/wDFVjf8Km8B/wDQtWn5v/jR/wAKm8B/9C1afm/+NAGz/wAJf4Z/6GLSP/A2P/4qvLPjD8VLLTotP07QJrW+vhKl4LqOUSJblW+UfKcFjzkHoPrXdf8ACpvAf/QtWn5v/jXnHxP+B5uBb6h4K0+FDGmy4sVfaX5yHUscZ5wRnsMUmk1ZlQnKElKLszN+GfxwewittB8Q26GyggEVrcW64ddowFYE4OQOvHPXrkem/wDCfvqX/Hle+H9MhPSXUNSjeQj2jRuD9Wryr4cfA/Vp9cjvvF2nrb6ZBk/ZZJAXnbGAMKeFB55649817D/wqbwH/wBC1afm/wDjSlFvqa0q0aa+BN93f8tvvuU/O0S851j4hw3WesVvfxW0R9sIcn8TVyzf4c2Dbre88Pb+vmSXUUj/APfTMT+tH/CpvAf/AELVp+b/AONH/CpvAf8A0LVp+b/40lTgtbFyxteS5eay7LRfcrI2V8XeF1UKviHRwB0AvYv/AIqj/hL/AAz/ANDFpH/gbH/8VWN/wqbwH/0LVp+b/wCNH/CpvAf/AELVp+b/AONWcps/8Jf4Z/6GLSP/AANj/wDiqP8AhL/DP/QxaR/4Gx//ABVY3/CpvAf/AELVp+b/AONH/CpvAf8A0LVp+b/40AbP/CX+Gf8AoYtI/wDA2P8A+Ko/4S/wz/0MWkf+Bsf/AMVWN/wqbwH/ANC1afm/+NH/AAqbwH/0LVp+b/40AXL3VvAupA/bdS8PXGe8txCx/Mmsgw+Cbc7tK8WwaW3pa6smz8UZiv6Vb/4VN4D/AOhatPzf/Gj/AIVN4D/6Fq0/N/8AGodOL1aOini69NcsZu3bp92xT/4Sq403mPxZ4Z1iIfwzXcdvKfYMpK/mBWH4r+ONjouiObKzWXWGbZHEZklhHqxeNjkD04JzXUf8Km8B/wDQtWn5v/jXJfEL4I6VqWgK3hLTrey1OB94QOQs645UknAPQg9PzyBQaejHPEKpFqUFfutPwWn4Hmvw4+L134b1+6TUreCTT9WvmubuRFKvE7nll5xtHp+tfVVfKXhX4G+K9S12CPWdPOnadHIDcSySISyg8qgUnJPTPQV9W9Ks5gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z)\n\n
Figure 1: A possible diagram of all the arcs.
\n\nIn this problem, consider an undirected graph where nodes correspond to corners of rectangles in \\(S\\) and edges correspond to the arcs, connecting the two nodes that the arc connects. The degrees of the nodes corresponding to the corners of \\(R\\) are all exactly 1. Since no three rectangles in \\(S\\) share a common corner, all intersection points have a pattern like \\(\\vdash\\) , \\(\\neg\\) , \\(\\perp\\) , or \\(\\top\\) , so the degree of all other nodes is exactly 2. Therefore, this graph can be decomposed into several paths and cycles. The only possible endpoints of paths are the degree 1 nodes, which are the corners of \\(R\\) . It follows that if there exists a path from the bottom- left corner to the top- right corner of \\(R\\) , then there also exists a path from the bottom- right corner to the top- left corner of\n\n\n\n\\(R\\) . However, this is impossible because these two paths (viewed as planar curves inside \\(R\\) ) must intersect, which cannot occur. Therefore, this claim is proved. \n\nReturning to the original problem, suppose some operations were performed while choosing each rectangle at most once. Draw two arcs inside every rectangle, either both horizontal if the ant used this rectangle to move horizontally or both vertical if the ant used this rectangle to move vertically (or pick one arbitrarily if this rectangle was not used). By the new version of the problem, there does not exist a path from the bottom- left corner to the top- right corner of \\(R\\) , and it follows that it is impossible for the ant to have reached the top- right corner of \\(R\\) , finishing the proof.", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP5.", "solution_match": "\n## Solution 1"}} -{"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "Canada_MO", "problem": "A rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles with sides parallel to the sides of \\(R\\) such that no three rectangles in \\(S\\) share a common corner. An ant is initially located at the bottom-left corner of \\(R\\) . In one operation, we can choose a rectangle \\(r \\in S\\) such that the ant is currently located at one of the corners of \\(r\\) , say \\(c\\) , and move the ant to one of the two corners of \\(r\\) adjacent to \\(c\\) . \n\nSuppose that after a finite number of operations, the ant ends up at the top-right corner of \\(R\\) . Prove that some rectangle \\(r \\in S\\) was chosen in at least two operations.", "solution": "Suppose that no rectangle was chosen in at least two operations. In particular, a rectangle cannot be selected in two consecutive operations. \n\nAt any point in the process, consider whether the last move by the ant was horizontal or vertical, and whether the most recently chosen rectangle was to the left or the right of the ant's path. In the first move, either the ant moved horizontally and the rectangle was to the left, or the ant moved vertically and the rectangle was to the right. We claim that this invariant is preserved throughout the entire process (see Figure 2 for a sample path). Assuming this claim, the final move to the top right corner must select the top right rectangle. If it is vertical, this is to the left of the path, and if it is horizontal, it is to the right of the path, both of which are impossible, providing a contradiction. \n\n![](data:image/jpeg;base64,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)\n\n
Figure 2: A possible path by the ant. The red arrows are all vertical, with the corresponding rectangle to the right. The blue arrows are all horizontal, with the corresponding rectangle to the left.
\n\nIt remains to show that the invariant is preserved. Since four rectangles cannot intersect at a corner, each intersection has a pattern like \\(\\vdash\\) , \\(\\neg\\) , \\(\\perp\\) , or \\(\\top\\) . \n\nFirst, assume the ant moves up, hence the chosen rectangle \\(r\\) is on the right. The possible configurations are depicted in the first two diagrams in Figure 3.\n\n\n![](data:image/jpeg;base64,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)\n\n
Figure 3: Possible ant moves going up or right.
\n\nIn each case, the ant must choose rectangle \\(s\\) next (to avoid repeating \\(r\\) twice), and we see that both side choices preserve a horizontal move with \\(s\\) left, or a vertical move with \\(s\\) right. By rotating the picture by \\(180^{\\circ}\\) , we cover the two possibilities for the ant moving downward. \n\nIf the ant moves right, then \\(r\\) must occur on the left, and the possible configurations are the last two diagrams of Figure 3. Once again, rectangle \\(s\\) must be chosen next, and the invariant is similarly preserved. The case of the ant moving left is again handled by a \\(180^{\\circ}\\) rotation, completing the proof.", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP5.", "solution_match": "\n## Solution 2"}} +{"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "Canada_MO", "problem": "A rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles with sides parallel to the sides of \\(R\\) such that no three rectangles in \\(S\\) share a common corner. An ant is initially located at the bottom-left corner of \\(R\\) . In one operation, we can choose a rectangle \\(r \\in S\\) such that the ant is currently located at one of the corners of \\(r\\) , say \\(c\\) , and move the ant to one of the two corners of \\(r\\) adjacent to \\(c\\) . \n\nSuppose that after a finite number of operations, the ant ends up at the top-right corner of \\(R\\) . Prove that some rectangle \\(r \\in S\\) was chosen in at least two operations.", "solution": "Consider the following version of the problem: \n\nA rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles such that no three rectangles in \\(S\\) share a common corner. For each \\(r \\in S\\) , draw two non- intersecting arcs inside \\(r\\) , connecting the pairs of adjacent corners of \\(r\\) (there are two ways to do this, by connecting either the horizontally or vertically adjacent corners). Prove that there does not exist a path from the bottom- left corner of \\(R\\) to the top- right corner of \\(R\\) by walking only along these arcs. \n\n![md5:57630605ba44d719931cd7be749e8b4c](57630605ba44d719931cd7be749e8b4c.jpeg)\n\n
Figure 1: A possible diagram of all the arcs.
\n\nIn this problem, consider an undirected graph where nodes correspond to corners of rectangles in \\(S\\) and edges correspond to the arcs, connecting the two nodes that the arc connects. The degrees of the nodes corresponding to the corners of \\(R\\) are all exactly 1. Since no three rectangles in \\(S\\) share a common corner, all intersection points have a pattern like \\(\\vdash\\) , \\(\\neg\\) , \\(\\perp\\) , or \\(\\top\\) , so the degree of all other nodes is exactly 2. Therefore, this graph can be decomposed into several paths and cycles. The only possible endpoints of paths are the degree 1 nodes, which are the corners of \\(R\\) . It follows that if there exists a path from the bottom- left corner to the top- right corner of \\(R\\) , then there also exists a path from the bottom- right corner to the top- left corner of\n\n\n\n\\(R\\) . However, this is impossible because these two paths (viewed as planar curves inside \\(R\\) ) must intersect, which cannot occur. Therefore, this claim is proved. \n\nReturning to the original problem, suppose some operations were performed while choosing each rectangle at most once. Draw two arcs inside every rectangle, either both horizontal if the ant used this rectangle to move horizontally or both vertical if the ant used this rectangle to move vertically (or pick one arbitrarily if this rectangle was not used). By the new version of the problem, there does not exist a path from the bottom- left corner to the top- right corner of \\(R\\) , and it follows that it is impossible for the ant to have reached the top- right corner of \\(R\\) , finishing the proof.", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP5.", "solution_match": "\n## Solution 1"}} +{"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "Canada_MO", "problem": "A rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles with sides parallel to the sides of \\(R\\) such that no three rectangles in \\(S\\) share a common corner. An ant is initially located at the bottom-left corner of \\(R\\) . In one operation, we can choose a rectangle \\(r \\in S\\) such that the ant is currently located at one of the corners of \\(r\\) , say \\(c\\) , and move the ant to one of the two corners of \\(r\\) adjacent to \\(c\\) . \n\nSuppose that after a finite number of operations, the ant ends up at the top-right corner of \\(R\\) . Prove that some rectangle \\(r \\in S\\) was chosen in at least two operations.", "solution": "Suppose that no rectangle was chosen in at least two operations. In particular, a rectangle cannot be selected in two consecutive operations. \n\nAt any point in the process, consider whether the last move by the ant was horizontal or vertical, and whether the most recently chosen rectangle was to the left or the right of the ant's path. In the first move, either the ant moved horizontally and the rectangle was to the left, or the ant moved vertically and the rectangle was to the right. We claim that this invariant is preserved throughout the entire process (see Figure 2 for a sample path). Assuming this claim, the final move to the top right corner must select the top right rectangle. If it is vertical, this is to the left of the path, and if it is horizontal, it is to the right of the path, both of which are impossible, providing a contradiction. \n\n![md5:41a5187d3fb1bad8b961c10dabf9477f](41a5187d3fb1bad8b961c10dabf9477f.jpeg)\n\n
Figure 2: A possible path by the ant. The red arrows are all vertical, with the corresponding rectangle to the right. The blue arrows are all horizontal, with the corresponding rectangle to the left.
\n\nIt remains to show that the invariant is preserved. Since four rectangles cannot intersect at a corner, each intersection has a pattern like \\(\\vdash\\) , \\(\\neg\\) , \\(\\perp\\) , or \\(\\top\\) . \n\nFirst, assume the ant moves up, hence the chosen rectangle \\(r\\) is on the right. The possible configurations are depicted in the first two diagrams in Figure 3.\n\n\n![md5:195a8a3d40a1bfbbdb6a6a8050490356](195a8a3d40a1bfbbdb6a6a8050490356.jpeg)\n\n
Figure 3: Possible ant moves going up or right.
\n\nIn each case, the ant must choose rectangle \\(s\\) next (to avoid repeating \\(r\\) twice), and we see that both side choices preserve a horizontal move with \\(s\\) left, or a vertical move with \\(s\\) right. By rotating the picture by \\(180^{\\circ}\\) , we cover the two possibilities for the ant moving downward. \n\nIf the ant moves right, then \\(r\\) must occur on the left, and the possible configurations are the last two diagrams of Figure 3. Once again, rectangle \\(s\\) must be chosen next, and the invariant is similarly preserved. The case of the ant moving left is again handled by a \\(180^{\\circ}\\) rotation, completing the proof.", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP5.", "solution_match": "\n## Solution 2"}} {"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "Canada_MO", "problem": "A rectangle \\(R\\) is divided into a set \\(S\\) of finitely many smaller rectangles with sides parallel to the sides of \\(R\\) such that no three rectangles in \\(S\\) share a common corner. An ant is initially located at the bottom-left corner of \\(R\\) . In one operation, we can choose a rectangle \\(r \\in S\\) such that the ant is currently located at one of the corners of \\(r\\) , say \\(c\\) , and move the ant to one of the two corners of \\(r\\) adjacent to \\(c\\) . \n\nSuppose that after a finite number of operations, the ant ends up at the top-right corner of \\(R\\) . Prove that some rectangle \\(r \\in S\\) was chosen in at least two operations.", "solution": "This is a variant of Solution 2. As in that proof, assume that no rectangle was chosen in two consecutive operations. We claim that for every move, the ant is in either the bottom- left or top- right corner of the chosen rectangle, and moves to the bottom- right or top- left corner. \n\nThis is clearly true of the first move. If the ant starts at the bottom- left or top- right corner on a move (choosing rectangle \\(r\\) ), it is clear that they must move to the bottom- right or top- left of \\(r\\) . Assume they moved to the bottom- right corner of \\(r\\) , and chose rectangle \\(s\\) in the next move. If they are at the bottom- right corner of \\(s\\) , then \\(r\\) and \\(s\\) are either equal or overlap, a contradiction. If they are at the top- left of \\(s\\) , then \\(r\\) and \\(s\\) intersect at a corner and no sides, and we must have 4 rectangles intersecting at a corner, again a contradiction. \n\nTherefore they must be at the bottom- left or top- right corner of \\(s\\) , as desired. The case where the ant is at the top- left corner of \\(r\\) is analogous. \n\nIf the ant is able to make it to the top right corner, their final move must select \\(r\\) as the top- right rectangle, and they move to the top- right corner, which is therefore impossible.", "metadata": {"resource_path": "CANADA_MO/segmented/en-CMO2025-solutions.jsonl", "problem_match": "\nP5.", "solution_match": "\n## Solution 3"}} diff --git a/Dutch_TST/md/nl-2025-B2025_uitwerkingen.md b/Dutch_TST/md/nl-2025-B2025_uitwerkingen.md index ef924c01ae12c394b99a3b6199499320e0d3cc15..32c3435610e868aca0b7b23f5cbce5623b588449 100644 --- a/Dutch_TST/md/nl-2025-B2025_uitwerkingen.md +++ b/Dutch_TST/md/nl-2025-B2025_uitwerkingen.md @@ -107,7 +107,7 @@ Oplossing I. Voor de tegenstandercomputers van \(a_i\) bekijken we tegen welke \ Merk op dat de computers \(a_{i-2}\), \(a_{i-1}\), \(a_{i+1}\) en \(a_{i+2}\) elk twee gemeenschappelijk tegenstandercomputers hebben met \(a_i\). Verder hebben \(a_{i-4}\), \(a_{i-3}\), \(a_{i+3}\) en \(a_{i+4}\) elk één gemeenschappelijke tegenstandercomputer met \(a_i\). Alleen voor de eerste twee, \(a_{i-4}\) en \(a_{i-3}\), is de gemeenschappelijk tegenstander met \(a_i\) hetzelfde, namelijk \(b_i\). -![](data:image/jpeg;base64,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) +![md5:dde99b8c979647cdd00d1a74a6b7b034](dde99b8c979647cdd00d1a74a6b7b034.jpeg) @@ -127,7 +127,7 @@ Oplossing II. We noemen twee computers *superconnected* als ze twee tegenstander - Er is één computer superconnected met zowel \(a_i\) als \(a_{i+2}\), namelijk de computer \(a_{i+1}\). -![](data:image/jpeg;base64,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) +![md5:e393dc4237dcd02ab227f4d58e23e4fb](e393dc4237dcd02ab227f4d58e23e4fb.jpeg) @@ -145,7 +145,7 @@ Opgave 4. Gegeven is \(\triangle ABC\) met omgeschreven cirkel \(\Gamma\). Zij \ Bewijs dat \(ND\), \(MF\) en \(PE\) concurrent zijn. -![](data:image/jpeg;base64,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) +![md5:7f753898ca75fab1bce57c1aff8e8095](7f753898ca75fab1bce57c1aff8e8095.jpeg) diff --git a/Dutch_TST/md/nl-2025-C2025_uitwerkingen.md b/Dutch_TST/md/nl-2025-C2025_uitwerkingen.md index 5e46bf269f7dfe3c0d7aadebd7d404708dd02657..b74d32612889fa5f0995eff893438b7b3767338f 100644 --- a/Dutch_TST/md/nl-2025-C2025_uitwerkingen.md +++ b/Dutch_TST/md/nl-2025-C2025_uitwerkingen.md @@ -100,7 +100,7 @@ Oplossing. Als \(m, n \ge 2\) en minstens één van de twee is even, dan is het We tekenen eerst een voorbeeld voor \(n = 1\) en \(m \ge 1\) met twee bijzondere driehoeken, een voorbeeld voor \(n = 2\) en \(m \ge 3\) met nul bijzondere driehoeken, en het speciale geval \(n = 2\), \(m = 2\) met wederom nul bijzondere driehoeken. -![](data:image/jpeg;base64,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) +![md5:a28b63a6a15113c23e02ed4c9f260d46](a28b63a6a15113c23e02ed4c9f260d46.jpeg) @@ -111,7 +111,7 @@ Als minstens één van \(m\) en \(n\) even is, kunnen we de rechthoek opknippen Voor elke partitionering maken we nu het volgende plaatje. We zetten een rood punt in het midden van elke schuine zijde van elke driehoek, en als er twee schuine zijden zijn dan verbinden we de twee rode punten met een rode lijn. Merk op dat elke driehoek hoogstens twee schuine zijden heeft, en alleen bijzondere driehoeken hebben er maar één. -![](data:image/jpeg;base64,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) +![md5:28670d2ce21704f817a698fbe65e8367](28670d2ce21704f817a698fbe65e8367.jpeg) In elk rood punt komen nu hoogstens twee rode lijnen samen. Dus deze rode lijnen vormen gesloten cykels of open paden, en de bijzondere driehoeken zijn precies de eindes van de de open paden. Zo hebben we hierboven een open pad van lengte nul, en een gesloten cykel gevormd door 6 rode segmenten. Een rood pad kan alleen van richting veranderen op een schuine zijde die in beide richtingen “hoogte” 1 heeft (oftewel die hoort bij twee driehoeken die in verschillende richtingen hoogte 1 hebben). Zo’n schuine zijde moet dus precies de diagonaal zijn van een vakje. In het bijzonder verandert een rood pad alleen van richting in het midden van vakjes. (Alternatief kun je zeggen dat de rode zijden nooit over de roosterlijnen lopen, want de hoogte van elke driehoek is 1 en de rode lijnen lopen op halve hoogte. Dus je kan nooit van richting veranderen op de roosterlijnen.) @@ -123,7 +123,7 @@ Opgave 3. Zij \(\triangle ABC\) een scherphoekige driehoek zo dat \(|AB| + |BC| Een mier begint zijn reis in \(X\) en gaat vanaf daar naar een punt op \(AC\), dan een punt op \(\ell\), dan weer terug naar een (eventueel ander) punt op \(AC\) en uiteindelijk naar \(Y\). Bewijs dat de lengte van de kortst mogelijke route van de mier gelijk is aan \(4|XY|\). -![](data:image/jpeg;base64,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) +![md5:4b761dfbdf38c7980454d4b1f6bb0235](4b761dfbdf38c7980454d4b1f6bb0235.jpeg) diff --git a/Dutch_TST/md/nl-2025-D2025_uitwerkingen.md b/Dutch_TST/md/nl-2025-D2025_uitwerkingen.md index 9929803f3e6dd2e03b02251f2df607c393d2b73d..455699e1c8a8120d9b24ec35a2b856bbdd3c6e0f 100644 --- a/Dutch_TST/md/nl-2025-D2025_uitwerkingen.md +++ b/Dutch_TST/md/nl-2025-D2025_uitwerkingen.md @@ -21,7 +21,7 @@ Opgave 2. Zij \(\triangle ABC\) een scherphoekige driehoek met \(|AB| > |AC|\), Bewijs dat de lijn \(KT\) door \(O\) gaat. -![](data:image/jpeg;base64,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) +![md5:98e7449ffa1b9943df1e63ed19f5fbaf](98e7449ffa1b9943df1e63ed19f5fbaf.jpeg) diff --git a/Dutch_TST/md/nl-2025-E2025_uitwerkingen.md b/Dutch_TST/md/nl-2025-E2025_uitwerkingen.md index 10d6f1d3f77ad1873b2d6e7e7dc387f5a0a231b8..b60698cdffb4379b16b50a11d37190167f82fef3 100644 --- a/Dutch_TST/md/nl-2025-E2025_uitwerkingen.md +++ b/Dutch_TST/md/nl-2025-E2025_uitwerkingen.md @@ -9,7 +9,7 @@ Opgave 1. Zij \(ABCD\) een parallellogram en zij \(M\) het snijpunt van de diago Bewijs dat \(\angle ACB = \angle DCF\). -![](data:image/jpeg;base64,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) +![md5:d69e9233467979ff433c86994be6ba9e](d69e9233467979ff433c86994be6ba9e.jpeg) diff --git a/Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl b/Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl index a81d9af3bfde657848710a0b19c75e8247b4ce4c..e0d6d305c7d7f92b2e99cd64ee6a6e4e82e42030 100644 --- a/Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl +++ b/Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl @@ -3,9 +3,9 @@ {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(n \\ge 2\\) een geheel getal, en laat \\(z_1, \\dots, z_n\\) positieve gehele getallen zijn die voldoen aan: \n\n- \\(z_j \\le j\\) voor \\(j = 1, \\dots, n\\); \n\n- \\(z_1 + \\dots + z_n\\) is even. \n\nBewijs dat er \\(s_1, \\dots, s_n \\in \\{-1, 1\\}\\) bestaan zodat: \n\n\\[s_1 z_1 + s_2 z_2 + \\dots + s_n z_n = 0.\\]", "solution": "We bewijzen dit met tweestapsinductie naar \\(n\\). Voor \\(n = 2\\) volgt uit de voorwaarden dat \\(z_1 = z_2 = 1\\), en dan geldt dus dat \\(z_1 - z_2 = 0\\). Voor \\(n = 3\\) volgt uit de voorwaarde dat \\((z_1, z_2, z_3)\\) gelijk is aan \\((1, 1, 2)\\), \\((1, 2, 1)\\) of \\((1, 2, 3)\\). Daarvoor kiezen we respectievelijk \\((s_1, s_2, s_3)\\) gelijk aan \\((1, 1, -1)\\), \\((1, -1, 1)\\) en \\((1, 1, -1)\\). \n\nStel nu dat we het gevraagde bewezen hebben voor \\(n = k\\) en \\(n = k-1\\), waarbij \\(k \\ge 2\\). Laat \\(z_1, \\dots, z_{k+1}\\) getallen zijn die voldoen aan de voorwaarden in de opgave. We onderscheiden twee gevallen. Stel eerst dat \\(z_k = z_{k+1}\\). Door de inductiehypothese voor \\(n = k-1\\) toe te passen op \\(z_1, \\dots, z_{k-1}\\) vinden we \\(s_1, \\dots, s_{k-1}\\) zodat \\(s_1 z_1 + \\dots + s_{k-1} z_{k-1} = 0\\). Nu hebben we ook dat \n\n\\[s_1 z_1 + \\dots + s_{k-1} z_{k-1} + z_k - z_{k+1} = 0,\\]\n\ndus volgt het gevraagde. Stel nu dat \\(z_k \\neq z_{k+1}\\). Dan geldt dat \\(|z_k - z_{k+1}| \\ge 1\\). Daarnaast weten we ook dat \\(|z_k - z_{k+1}| \\le k\\) omdat \\(1 \\le z_k, z_{k+1} \\le k+1\\). Omdat \\(|z_k - z_{k+1}| \\equiv z_k + z_{k+1} \\mod 2\\), geldt ook dat \\(z_1 + \\dots + z_{k-1} + |z_k - z_{k+1}|\\) even is. We kunnen dus de inductiehypothese voor \\(n = k\\) toepassen op \\(z_1, \\dots, z_{k-1}, |z_k - z_{k+1}|\\). Hierdoor vinden we \\(s_1, \\dots, s_k\\) zodanig dat: \n\n\\[s_1 z_1 + \\dots + s_{k-1} z_{k-1} + s_k |z_k - z_{k+1}| = 0.\\]\n\nOmdat \\(|z_k - z_{k+1}| = \\pm (z_k - z_{k+1})\\), volgt ook nu het gevraagde.", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing I."}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(n \\ge 2\\) een geheel getal, en laat \\(z_1, \\dots, z_n\\) positieve gehele getallen zijn die voldoen aan: \n\n- \\(z_j \\le j\\) voor \\(j = 1, \\dots, n\\); \n\n- \\(z_1 + \\dots + z_n\\) is even. \n\nBewijs dat er \\(s_1, \\dots, s_n \\in \\{-1, 1\\}\\) bestaan zodat: \n\n\\[s_1 z_1 + s_2 z_2 + \\dots + s_n z_n = 0.\\]", "solution": "We construeren recursief \\(s_n, s_{n-1}, \\dots, s_1\\), op de volgende manier. Om te beginnen kiezen we \\(s_n = 1\\). Bekijk vervolgens een \\(k \\in \\{2, \\dots, n\\}\\) en stel dat we \\(s_k, \\dots, s_n\\) gekozen hebben. Definieer \\(b_k = s_k z_k + \\dots + s_n z_n\\), en kies: \n\n\\[s_{k-1} = \\begin{cases} -1 & \\text{als } b_k \\ge 0; \\\\ 1 & \\text{als } b_k < 0. \\end{cases}\\]\n\n\n\nDefinieer ten slotte \\(b_1 = s_1z_1 + \\dots + s_nz_n\\). \n\nWe beweren dat \\(|b_k| \\le k\\) voor \\(k = 1, \\dots, n\\). We bewijzen dit met neerwaartse inductie naar \\(k\\). Voor \\(k = n\\) geldt inderdaad dat \\(|b_n| = |s_nz_n| = |z_n| \\le n\\). Stel nu dat we bewezen hebben dat \\(|b_k| \\le k\\) voor een zekere \\(k \\in \\{2, \\dots, n\\}\\). Als \\(b_k \\ge 0\\), dan geldt dat \\(b_{k-1} = b_k - z_{k-1}\\). We hebben \\(-(k-1) \\le -z_{k-1} \\le b_k - z_{k-1} \\le b_k - 1 \\le k-1\\), dus \\(|b_{k-1}| = |b_k - z_{k-1}| \\le k-1\\). Als \\(b_k < 0\\), dan geldt dat \\(b_{k-1} = b_k + z_{k-1}\\). In dit geval hebben we \\(-(k-1) \\le b_k + 1 \\le b_k + z_{k-1} < z_{k-1} \\le k-1\\), dus volgt ook dat \\(|b_{k-1}| = |b_k + z_{k-1}| \\le k-1\\). Dit voltooit de inductie. \n\nIn het bijzonder geldt dat \\(|b_1| \\le 1\\). Daarnaast weten we dat \\(b_1 \\equiv z_1 + \\dots + z_n \\equiv 0 \\mod 2\\), dus moet \\(b_1 = 0\\), zoals we wilden. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(n \\ge 2\\) een geheel getal, en laat \\(z_1, \\dots, z_n\\) positieve gehele getallen zijn die voldoen aan: \n\n- \\(z_j \\le j\\) voor \\(j = 1, \\dots, n\\); \n\n- \\(z_1 + \\dots + z_n\\) is even. \n\nBewijs dat er \\(s_1, \\dots, s_n \\in \\{-1, 1\\}\\) bestaan zodat: \n\n\\[s_1 z_1 + s_2 z_2 + \\dots + s_n z_n = 0.\\]", "solution": "We bewijzen de volgende sterkere claim, waaruit de opgave volgt door voor \\(m = \\frac{1}{2}S\\) te kiezen. \n\n**Claim.** Zij \\(n\\) een positief geheel getal, en laat \\(z_1, \\dots, z_n\\) positieve gehele getallen zo dat \\(z_j \\le j\\) voor \\(j = 1, \\dots, n\\). Zij \\(S = z_1 + \\dots + z_n\\) (niet-noodzakelijk even) en \\(0 \\le m \\le S\\). Dan bestaat er een deelverzameling van \\(\\{z_1, \\dots, z_n\\}\\) met som \\(m\\). \n\nWe bewijzen dit met inductie naar \\(n\\). Voor \\(n = 1\\), heeft de lege deelverzameling som 0 en de hele verzameling \\(\\{z_1\\}\\) som 1. \n\nStel nu dat de claim waar is voor \\(n = k\\) en beschouw getallen \\(z_1, \\dots, z_{k+1}\\) die aan de voorwaarde voldoen. We definiëren \\(Z = \\max(z_1, \\dots, z_{k+1})\\) en zij \\(j\\) maximaal zo dat \\(z_j = Z\\). Dat betekent dat \\(z_i < Z \\le j\\) voor alle \\(i > j\\). \n\nAls we \\(z_j\\) weglaten krijgen we een verzameling van \\(k\\) elementen, gedefinieerd als \n\n\\[ \\text{voor } i < j: \\quad \\tilde{z}_i = z_i \\le i; \\\\ \\text{voor } i \\ge j: \\quad \\tilde{z}_i = z_{i+1} < Z \\le j \\le i, \\]\n\nmet som \\(\\tilde{S} = \\sum_{i=1}^n \\tilde{z}_i = S-Z\\). Merk op dat \\(Z \\le j \\le k+1\\) en \\(S-Z = \\sum_{i=1; i \\ne j}^{k+1} z_i \\ge k \\cdot 1 = k\\), oftewel \\(Z \\le S-k\\). Dat betekent dat \\(2Z \\le (k+1) + (S-k) = S+1\\). Dus \\(Z\\) is hoogstens de helft van de som \\(S\\) naar boven afgerond, \\(Z \\le \\lceil \\frac{1}{2}S \\rceil\\), en \\(\\tilde{S}\\) is minstens de helft van \\(S\\) naar beneden afgerond, \\(\\tilde{S} \\ge \\lfloor \\frac{1}{2}S \\rfloor\\). Hiermee kunnen we nu de inductiehypothese toepassen. \n\n- Voor \\(0 \\le m \\le \\lfloor \\frac{1}{2}S \\rfloor\\), geldt dus \\(0 \\le m \\le \\tilde{S}\\). Dan is er een deelverzameling van de \\(\\tilde{z}_i\\) met som \\(m\\), wat meteen een deelverzameling van de \\(z_i\\) geeft met dezelfde som. \n\n- Voor \\(\\lceil \\frac{1}{2}S \\rceil \\le m \\le S\\), geldt dat \\(0 \\le m-Z \\le S-Z = \\tilde{S}\\). Dus er is een deelverzameling van de \\(\\tilde{z}_i\\) met som \\(m-Z\\). Als we hier \\(z_j\\) aan toevoegen krijgen we een deelverzameling van de \\(z_i\\) met som \\(m\\).\n\n\n\nHiermee hebben we voor \\(n = k + 1\\) voor elke \\(0 \\le m \\le S\\) een deelverzameling gevonden met som \\(m\\), en is de inductie voltooid. \n\nAls de som \\(S\\) even is, dan kunnen we \\(m = \\frac{1}{2}S\\) kiezen. Dat geeft een deelverzameling met som \\(\\frac{1}{2}S\\), en de som van de overige getallen is ook gelijk aan aan \\(S - \\frac{1}{2}S = \\frac{1}{2}S\\). Neem nu de bijbehorende \\(s_i = 1\\) voor de \\(z_i\\) in deze deelverzameling, en alle overige \\(s_i = -1\\). Dan geldt dus \\(s_1z_1 + s_2z_2 + \\dots + s_nz_n = \\frac{1}{2}S - \\frac{1}{2}S = 0\\). \\(\\square\\) \n\nOpmerking. Met de substitutie \\(s_i = 2t_i - 1\\) wordt de vraag equivalent aan een reeks \\(t_1, \\dots, t_n\\) met \\(t_i \\in \\{0, 1\\}\\) zo dat \n\n\\[t_1z_1 + t_2z_2 + \\dots + t_nz_n = \\frac{1}{2}S.\\]\n\nDan is de omschreven strategie van Oplossing 2 om de \\(t_i\\) te kiezen beginnende vanaf \\(i = n\\) zodanig dat de som \\(t_i z_i + \\dots + t_n z_n\\) niet groter is dan \\(\\frac{1}{2}S\\). En de deelverzameling van Oplossing 3 wordt gegeven door de \\(i\\) waarvoor \\(t_i = 1\\).", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing III."}} -{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Een groep van 4050 vrienden speelt een videospel-toernooi. Daarvoor staan er 2025 computers in een zaal gelabeld \\(a_1, \\dots, a_{2025}\\) en 2025 computers in een andere zaal gelabeld \\(b_1, \\dots, b_{2025}\\). De speler op computer \\(a_i\\) speelt altijd tegen de spelers \\(b_i\\), \\(b_{i+2}\\), \\(b_{i+3}\\) en \\(b_{i+4}\\) (in het bijzonder dus juist niet tegen \\(b_{i+1}\\)), waarbij we de computers cyclisch doornummeren. Na de eerste ronde kiezen alle spelers een computer binnen hun zaal voor de tweede ronde. Daarna merken ze op dat iedereen in de tweede ronde dezelfde tegenstanders heeft als in de eerste ronde. \n\nBewijs dat als er iemand dezelfde computer heeft gekozen in beide rondes, dan iedereen dezelfde computer heeft gekozen in beide rondes.", "solution": "Voor de tegenstandercomputers van \\(a_i\\) bekijken we tegen welke \\(a_j\\) zij spelen in de volgende tabel. \n\n
\\(b_i\\) :\\(a_{i-4}\\)\\(a_{i-3}\\)\\(a_{i-2}\\)\\(a_i\\)
\n\n
\\(b_{i+2}\\) :\\(a_{i-2}\\)\\(a_{i-1}\\)\\(a_i\\)\\(a_{i+2}\\)
\\(b_{i+3}\\) :\\(a_{i-1}\\)\\(a_i\\)\\(a_{i+1}\\)\\(a_{i+3}\\)
\\(b_{i+4}\\) :\\(a_i\\)\\(a_{i+1}\\)\\(a_{i+2}\\)\\(a_{i+4}\\)
\n\nMerk op dat de computers \\(a_{i-2}\\), \\(a_{i-1}\\), \\(a_{i+1}\\) en \\(a_{i+2}\\) elk twee gemeenschappelijk tegenstandercomputers hebben met \\(a_i\\). Verder hebben \\(a_{i-4}\\), \\(a_{i-3}\\), \\(a_{i+3}\\) en \\(a_{i+4}\\) elk één gemeenschappelijke tegenstandercomputer met \\(a_i\\). Alleen voor de eerste twee, \\(a_{i-4}\\) en \\(a_{i-3}\\), is de gemeenschappelijk tegenstander met \\(a_i\\) hetzelfde, namelijk \\(b_i\\). \n\n![](data:image/jpeg;base64,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)\n\n \n\nStel nu dat er een speler is blijven zitten, zeg de speler op \\(a_{2025}\\). We gaan nu met inductie bewijzen dat alle spelers op \\(a_i\\) en \\(b_i\\) zijn blijven zitten. \n\nStel per inductiehypothese dat de speler op een zekere computer \\(a_i\\) in beide rondes hetzelfde is. Aangezien iedereen dezelfde tegenstanders heeft in beide rondes, hebben de spelers die op \\(a_{i-4}\\) en \\(a_{i-3}\\) zaten wederom elk één dezelfde gemeenschappelijke speler met\n\n\n\n\\(a_i\\), namelijk de speler die op \\(b_i\\) zat. Dat betekent dat de speler op \\(b_i\\) ook is blijven zitten. Nu merken we op dat alleen de speler die op \\(a_{i-2}\\) zat naast \\(b_i\\) nog een tweede gemeenschappelijke tegenstander met \\(a_i\\) heeft. Dus ook op \\(a_{i-2}\\) is dezelfde speler blijven zitten. \n\nOmdat 2025 oneven is, volgt nu met inductie eenvoudig dat iedereen op dezelfde computer is blijven zitten, als er één iemand is blijven zitten. □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing I."}} -{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Een groep van 4050 vrienden speelt een videospel-toernooi. Daarvoor staan er 2025 computers in een zaal gelabeld \\(a_1, \\dots, a_{2025}\\) en 2025 computers in een andere zaal gelabeld \\(b_1, \\dots, b_{2025}\\). De speler op computer \\(a_i\\) speelt altijd tegen de spelers \\(b_i\\), \\(b_{i+2}\\), \\(b_{i+3}\\) en \\(b_{i+4}\\) (in het bijzonder dus juist niet tegen \\(b_{i+1}\\)), waarbij we de computers cyclisch doornummeren. Na de eerste ronde kiezen alle spelers een computer binnen hun zaal voor de tweede ronde. Daarna merken ze op dat iedereen in de tweede ronde dezelfde tegenstanders heeft als in de eerste ronde. \n\nBewijs dat als er iemand dezelfde computer heeft gekozen in beide rondes, dan iedereen dezelfde computer heeft gekozen in beide rondes.", "solution": "We noemen twee computers *superconnected* als ze twee tegenstandercomputers gemeen hebben. We merken op dat de enige computers superconnected met \\(a_i\\) de computers \\(a_{i-2}\\), \\(a_{i-1}\\), \\(a_{i+1}\\) en \\(a_{i+2}\\) zijn. Nu gaan we kijken naar drietallen die superconnected zijn. \n\n- Er zijn twee computers superconnected met zowel \\(a_i\\) als \\(a_{i+1}\\), namelijk de computers \\(a_{i-1}\\) en \\(a_{i+2}\\). \n\n- Er is één computer superconnected met zowel \\(a_i\\) als \\(a_{i+2}\\), namelijk de computer \\(a_{i+1}\\). \n\n![](data:image/jpeg;base64,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)\n\n \n\nDus als een computer zelf superconnected is met \\(a_i\\) en twee gemeenschappelijke superconnected computers met \\(a_i\\) heeft, dan is deze computer \\(a_{i-1}\\) of \\(a_{i+1}\\). \n\nAangezien iedereen dezelfde tegenstanders heeft in beide rondes, geldt dat als twee vrienden in de eerste ronde op superconnected computers speelden, ze in de tweede ronde ook op superconnected computers spelen. Uit het bovenstaande volgt dan dat, als twee vrienden in de eerste ronde naast elkaar zaten, ze dat in de tweede ronde ook doen. \n\nStel nu dat de speler op \\(a_1\\) beide rondes hetzelfde is. We nemen verder uit het ongerijmde aan dat de speler die de eerste ronde op \\(a_2\\) zat, in de tweede ronde op \\(a_{2025}\\) zat. Dan moeten inductief de spelers op \\(a_3\\), \\(a_4\\) en \\(a_5\\) verhuisd zijn naar \\(a_{2024}\\), \\(a_{2023}\\) en \\(a_{2022}\\). Dus de speler die in de eerste ronde op \\(b_5\\) zat (en tegen \\(a_1\\), \\(a_2\\), \\(a_3\\), \\(a_5\\) speelde), moet in de tweede ronde tegen de spelers op computers \\(a_{2022}\\), \\(a_{2024}\\), \\(a_{2025}\\), \\(a_1\\). Maar er is geen computer met die tegenstanders. We concluderen dus dat de speler op \\(a_2\\) wel moet zijn blijven zitten. Dit laat inductief zien dat iedereen in die zaal op dezelfde computer is blijven zitten. \n\nAangezien de spelers in de tweede zaal dezelfde tegenstanders hebben in beide rondes, weten we nu dat ze ook tegen dezelfde computers spelen. Dit legt de computers in de tweede zaal vast, dus iedereen in de tweede zaal heeft ook voor dezelfde computer gekozen in beide rondes. □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing II."}} -{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Gegeven is \\(\\triangle ABC\\) met omgeschreven cirkel \\(\\Gamma\\). Zij \\(M\\) het midden van de boog \\(BC\\) van \\(\\Gamma\\) waar \\(A\\) niet op ligt. Het punt \\(N\\) op \\(\\Gamma\\) is de antipode van \\(A\\). De lijn door \\(B\\) loodrecht op \\(AM\\) snijdt \\(AM\\) in het punt \\(D\\) en snijdt \\(\\Gamma\\) een tweede keer in het punt \\(P \\neq B\\). De lijn door \\(D\\) loodrecht op \\(AC\\) snijdt \\(AC\\) in het punt \\(E\\) en snijdt \\(BC\\) in het punt \\(F\\). \n\nBewijs dat \\(ND\\), \\(MF\\) en \\(PE\\) concurrent zijn. \n\n![](data:image/jpeg;base64,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)", "solution": "We noteren de helft van de hoek bij \\(A\\) als \\(\\alpha = \\frac{1}{2} \\angle BAC = \\angle BAM = \\angle MAC\\), want \\(M\\) is het midden van boog \\(BC\\). Dan merken we op dat \\(\\angle ABP = \\angle ABD = 90^\\circ - \\angle DAB = 90^\\circ - \\alpha\\) en dat \\(\\angle EDA = 90^\\circ - \\angle DAE = 90^\\circ - \\alpha\\). Ook rekenen we uit dat, wegens de gestrekte hoek \\(\\angle ADM\\), geldt dat \\(\\angle PDE = 180^\\circ - \\angle EDA - \\angle MDP = 180^\\circ - (90^\\circ - \\alpha) - 90^\\circ = \\alpha\\). \n\nNu definiëren we \\(K\\) als het tweede snijpunt van de omgeschreven cirkel van \\(\\triangle ADE\\) met \\(\\Gamma\\) (naast \\(A\\)). Dan merken we op dat \\(\\angle AKE = \\angle ADE = 90^\\circ - \\alpha = \\angle ABP = \\angle AKP\\), dus \\(K\\), \\(E\\) en \\(P\\) zijn collinear. Evenzo geldt dat \\(\\angle AKD = 180^\\circ - \\angle AED = 90^\\circ = \\angle AKN\\), wegens Thales omdat \\(A\\) en \\(N\\) antipoden zijn. Dus \\(K\\), \\(D\\) en \\(N\\) zijn collinear. \n\nVoor de laatste lijn claimen we dat \\(BFDK\\) ook een koordenvierhoek is. Inderdaad, \\(\\angle KBF = \\angle KBC = 180^\\circ - \\angle KAC = 180^\\circ - \\angle KAE = \\angle KDE = 180^\\circ - \\angle KDF\\).\n\n\n\n(Merk op dat dit in feite de stelling van Miquel is in \\(\\triangle CEF\\) en koordenvierhoeken \\(AKBC\\) en \\(DEAK\\).) Uit de omtrekhoekstelling in de koordenvierhoek \\(BFDK\\) volgt dat \\(\\angle BKF = \\angle BDF = \\angle PDE = \\alpha = \\angle BAM = \\angle BKM\\), dus \\(K\\), \\(F\\) en \\(M\\) zijn collinear. We concluderen dat \\(ND\\), \\(MF\\) en \\(PE\\) concurrent zijn in het punt \\(K\\). \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing I."}} -{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Gegeven is \\(\\triangle ABC\\) met omgeschreven cirkel \\(\\Gamma\\). Zij \\(M\\) het midden van de boog \\(BC\\) van \\(\\Gamma\\) waar \\(A\\) niet op ligt. Het punt \\(N\\) op \\(\\Gamma\\) is de antipode van \\(A\\). De lijn door \\(B\\) loodrecht op \\(AM\\) snijdt \\(AM\\) in het punt \\(D\\) en snijdt \\(\\Gamma\\) een tweede keer in het punt \\(P \\neq B\\). De lijn door \\(D\\) loodrecht op \\(AC\\) snijdt \\(AC\\) in het punt \\(E\\) en snijdt \\(BC\\) in het punt \\(F\\). \n\nBewijs dat \\(ND\\), \\(MF\\) en \\(PE\\) concurrent zijn. \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIxAkYDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqF/rmk6UcajqllZnr/pFwkf8A6ERQBforlZ/iV4Ngk8seILSd/S03XH/osNSv490sxCS10/X7xT0MGi3WPzZAP1oA6miuQXx5I5/d+D/FT+5sVT/0JxVhPFt/J93wX4j/AOBC1X+c9AHT0VzLeK9QQZPgvxF+H2Q/ynqu/jmeP/WeDfFK/S0jf/0GQ0AddRXKw+PLJ8/aNF8SWoHUy6NcMB/3wrUwfEzwf5vly6wts/pd28sH/oxRQB1tFZVl4n8P6lII7HXdMunPAWC7jcn8Aa1aACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorG1u9i3w6V9pSB7oEyuZApSEY3EH1OQo78kj7poAk0LxFp/iOK9l02QyRWl29o744Z0Azt9Rz1rVrz74amG31rxtYW5j8mPWTOgjxtAkjU8Y7cV6DQAUUUhIVSSQAOST2oAWiuWn8e6U9w1posd1r12pCtHpkfmIhPTfKSI1/Fs+1RiHxvrOGmudP8ADtucHy7dftlz7guwEa/gr/WgDqpporeF5p5EiiQZZ3YKqj1JPSuZm+IXh8vLFpstzrVxGMmLSbd7r83UbB+LCiH4faEZUn1RLnXLlM7ZdWnNwBn0jP7tfwUV00UMVvCkUMaRxoMKiKAFHoAOlAHLHWPGOobxp3hi209CAUm1e9G4/wDbKEP+RYUv9heK72QNqHi8WsbLhoNK09I8H2eUyH8cD8K6uigDkv8AhXejXEPl6pdaxq3Of9O1OZl/74VlT/x2tC08FeFrDb9l8OaVEy9HFpHu/wC+sZNbtFACKqooVQAoGAAOBS0UUAFFFFABRRRQAUUUUAZV74X8P6lIZL7QtMunPVp7SNyfxIrIX4ceG7fzG06C80uRx9/Tr+a3x9FVwv6V1lFAHJjwvr9kIxpfjW/2KcmPU7aK6De24BH/APHqPt3jnT1JudG0jV03YBsLpraTb67JQV/8iV1lFAHJ/wDCwNMtNw1uy1TRCH2b9QtGERP/AF1TdHj/AIFXR2Oo2OqWwudPvbe7gJwJbeVZFJ+oJFWa5y+8CeHL25N2unLZXvOLvT3a1mBPfdGQT+OaAOjorkho/i7SMf2Vr8Oq267QLbWYsPgdcTxAHP8AvI31oXx0mnEJ4n0i+0NuAbiRfPtck4H76PIX/gYWgDraKhtLu2v7WO6s7iK4t5BlJYXDow9iODU1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEN3PJb2sk0VrLdSKMrDCUDv7Auyr+ZFYuh2cuoWst/rmji31CeVt0NwY5fLQHCKrKWGMc9fvFjgZroKjuLiG1t5Li4mjhhjUs8kjBVUDqSTwBQBxHhbTdT034g+Jr19BuLTS9U+zGB/MgwjRRlWJVZCQCcYwD74rs76/s9Ms5Ly/uobW2jGXlnkCKv1J4rxP4s+OdfvNOsrrwbLqMWkRyOJ9QhjMaTuBuAjJ+ZkUJISwG3jqRXaeBtBtdZ0mw17xBNJq+uoMSm9O4WcoxuRIsBY2UgZO3dnnJBoA0P+Er1XXht8J6M0sDDjVNTDQW2OoKJjzJe/QKP9qnp4GTUXE3inVLnXXBDC2kHk2akHIxApw3p85eutooAit7eC0t47e2hjhgjG1I41Cqo9ABwKloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDl7rwJpX2lr3RnuNCv2IJn0xhGrkZx5kWDG/J/iXPvUH9q+KvDwC6vpq65ZLx9u0pNs4HHL25PPOeY2P+6K6+igDN0bxBpPiG2afSr6K6RDtkVTh4z6OhwynjoQDWlWFrPhHSdauVvXjltNTQYj1GykMNwntvH3h/stke1Zn9peJ/DJxq9sdd0wf8v9hFtuYh6yQDhxz1j5wPuUAdhRVHSdY07XbBL7S7yG7tm4DxNnB9COoI7g8ir1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVe+v7TTLGa9vrmK2tYV3SSysFVR7k1yYudd8a8WLXOheH2z/pZXZeXi/wDTNT/qUPJ3H5zxgL1oA0NX8XQ2uoNpGkWr6vrQALWkDAJAD/FNIfljHHQ5Y8YBqtb+D5tVmjvfGF2mqToQ8dhGpWygPtGf9Yw5+Z8+wWt/SNG07QbBbLTLSO2twdxVeSzHqzE8sx7kkk1eoA5bV7SHXPF1rpUy7rWzsJp5l/2pgYU/8c8+svRbe/TQrDX9NTzdThhFrqloDgXrQkxORngSgo20nr908YK7fhn/AEy/13VzyLm+a3hP/TKAeVj/AL+CU/8AAqPD/wDoev8AiHTDwouUvoh6JMvP/kSOU/jQBr6ZqVrq+nxXtlJ5kMmcZBBUg4KsDyGBBBB5BGKt1zep2F1ouoS67o8LTLJg6hYR9bgAY8yMf89QO38YGDyFI3LC/tdTsYb2ymWa2mXdHIvQj+h9u1AFiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5zVvB9td3z6rpdzLo+ssOb21AxL6CaM/LKPrzxwRVS38W3Wj3Mdh4xtorCR22Q6lASbK4PYbjzE3X5X444Y111RXFvBd20lvcwxzQSqVkikUMrqeoIPBFAEtFcYdH1jwd+98OeZqWjgjfo00n7yFe5tpG7Dg+WxxwcFeldBoev6d4hsjc6fMW2MY5oZFKSwOOqSIeVYeh/lQBp0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY+v8AiSz8PxQrKstxe3LFLSxt13TXDDkhV9B1LHAA6mqmveJZLS8TRtFt0v8AXpl3JAWxHbof+Ws7D7qD0+83Qeol0DwzFpE0uoXdw2oa1cqFub+VcMR12IvRIweij8cnmgChYeGr3V72HWPFrRzXET+ZaaZEd1tZnsT/AM9ZQP4zwCTtA611tFFABVDXNSXRtBv9SZd32W3eUL/eIBIH1JwPxq/XO+Kv9Lk0fRxz9tv42lH/AEyhzM2fYlFX/gdAF/w7praP4c0/T3bdLBAqyt/ekxl2/Fsn8aoX/wDoXjrSbrol/bTWL+7riWP/AMdWb866Kud8a/uNBXUx97S7mG9J9ERh5v8A5DMg/GgDoq5i/tZ/DV9NrGmwvLp87b9RsYxkg954h/e/vKPvDkfMPm6eigCK1uoL21iurWZJreZA8ciHKsp5BBqWuVuopPCF3LqNrGz6FM5kvbZBk2jHkzRgfwHq6j/eH8QPTxSxzwpNDIskTqGR0OQwPIIPcUAPooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACud1zwst/erq+lXR0zXY12rdxrlZl/55zJ0kT68jqCK6KigDnND8TtdXx0XWrYadrqKT5G7MVyo/5aQP8Axr3I+8vQjuejrM13QLDxFYfZL+NvkYSQzRMUlgkH3Xjccqw9fwORkViafrt/oWowaJ4pkVzO3l2GrKu2K6btHIOkcvt0b+HnigDrqKKKACisjxRcX1l4b1C90+4jhuLW3knUyReYrbUJ2kZHUgc1jeHpvEmv+D9N1UazawXV7aJPt+w7kRmXOMbwSOfWgDsKKzdAuru80K0mvxGL7ZsuRGML5qkq+PbcDWlQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXLa74gvZ9Sbw54a8uTV9oa6unXdDp0Z6O/8AekI+7H36nC9U8Qa7fXOp/wDCNeGyh1ZkD3V2y7o9Oibo7D+KQ/wJ36nCjnY0LQrLw9pq2VkrkFjJLNK2+WeQ/ekkbqzE9T+AwABQAzQfD9l4es3htvMlnmbzLm6mbdLcSd3du59ug6AAVq0UUAFFFFABXOw/6f4/uZesel2KwL/11mbe/wCIWOL/AL6roq53wb/pOk3OrHltVu5bsH1jzsiP/fpI6AOiqC9tIr+wuLOcbobiJonHqrAg/oanooAxPCF3LeeE9Oe4ObmKL7PcH/prETG//jyNW3XO+Hv9D13xDpZ4Vblb2If7Ey5P/kRJq6KgArlHB8FXDSoCfDcz5kQf8w5yeWH/AExJ6j+A8/dzt6ukZVdSrKGVhggjIIoAFYMoZSCCMgjvS1ykbN4LuEt5ST4bmcLDITn+z3J4Rj/zxJ4U/wAB4Py4x1dABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVdS02y1jTp9P1C2jubSddskUgyGH9D3B6gjIq1RQBxdrqN74LvItM1y4kutFmcR2WqynLQknCw3B/RZO/Q88ntKhu7S3v7Sa0u4Y57eZCkkUi5V1PUEVx9ld3PgfUINI1OaSfw/cOI9Pv5W3NasekEzHqvZHP+6exoA3vFv/ACJuuf8AYPuP/RbVR+Hf/JN/Df8A2DoP/QBWtrWlDW9Jn05ry5tYrhGjle32bmRlKlfnVgOD1Az71B4d0FfDmlQabDqF5dW1vGsUK3Pl5jVRgAFEXPGOuelAGvRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc34k166guoNB0NUl128QupcZS0izgzyewPAH8TceuLPibxANCsolggN3ql2/kWFkh+aeXHf0RR8zMeAAfbKeGfD/wDYltPPdTC61e+cTX94RzK+MBR6Io+VV7D3JoAsaBoNp4d037JbF5JHcy3FxKcyXErfekc92P6cAcAVqUUUAFFFFABRRRQBieLryay8LX7WzbbqZBbW59JZWEaf+POK1LGzh0+wtrK3XbDbxLFGPRVAA/QVia5/p3ibQNMHKJJJqEw/2Yl2qD/20lQ/8AroqACiiigDnb7/AEHx3pVz0TULWayf3dMSx/8Ajon/ADroq53xp+40OPVB97S7qG9J9EVgJf8AyG0ldFQAUUUUAMmhiuIJIZo0kikUo6OMqynggjuK5m0ml8JXcWm3kjyaJM4jsbqQ5Nsx4EEhP8J6Ix/3Tzgt1NQ3dpb31pNaXcKTW8yFJI3GVZT1BFAE1FczYXdx4dv4dG1OZ5rKZtmnX0hySe0Ep/vj+Fj94cH5hz01ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV76xtdTsZ7K9gSe1nQpJFIMhlParFFAHG6PfXfhbVofDWtTvPZznbpGpSnJkwP+PeU/89QPut/GB/eBB7KqGs6PZ69pU+nX8ZaCUdVOGRgcqynswOCD2IrG8Navew3svhrXnDarapvhusYW/gzgSgdnHAdex5HBFAHUUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFU9V1Sz0XS7nUtQmWG0tkLyO3Yeg9STwB3JAq5XFxZ8beJvPOT4e0W4xCMfLe3inl/dIjwOxfJ52igC14Y0y8u72XxRrcRj1K7TZbWrf8uNtnIj/wB9uGc+uB0WuqoooAKKKKACiiigAooqK4uIrS2luZmCRRIZHY9lAyTQBhaR/p3i7XdQPKW/ladEf91fMcj6tKFP+5XRVheDbeWHwtZzXClbm83Xs6nqHmYyEH6bsfhW7QAUUUUAV76zi1DT7mynGYbiJonHqrAg/oazPCN5Le+E9OkuDm5ji8i4P/TWMmOT/wAeVq2653w9/oeueIdLPAS6W9iH/TOdcn/yKk1AHRUUUUAFFFFAFa/sLXVLCayvYVmt5l2ujd/8COoI5B5rF0u/utI1CPQtYmaUyZGn37/8vKgZ8tz2lUf99AZHIYDo6p6nplrrGnyWV5GXifByDtZGByGUjlWBwQRyCKALlFc/pGp3VnfjQdakDXm0taXeNq3sY6n0Eij7y/8AAhwcDoKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKw/E+gHXLGJ7ab7Lqtm/n2F2BzDKB0PqjD5WXuD9K3KKAMXwzr417TnaaA2uo2shgvrRjkwTDqPdTwyt3Ug1tVyHii1n0LUF8YaZC8jwRiPVLaPrc2oOdwHQyR5LDuRuXuK6q1uYL20huraVJbeZBJHIhyrqRkEH0IoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqupaja6RplzqN7KIrW2iaWVz2UDJ+p9qAMDxdqN3NJa+GdHmMWqamG3zoebO2GBJN7HkKvTLMPQ1v6Zptpo+mW2nWEKw2ttGI4o17AfzPqe9YPg7Trsx3XiHVojHq2rFZGhbObWAf6qH22g5bgZZmrqKACiiigAooooAKKKKACue8aEzaANLUnfqtxHY4H9x2/eflGJD+FdDXO3f+n+PNOtusem2kl449JJD5UZ/wC+RPQB0IAAAAAA6AUtFFABRRRQAVzt7/oPjzS7nomoWstm/vImJY//AB3z66Kud8afuNEi1QddLu4bwn0jVsS/+QmkoA6KiiigAooooAKKKKAKGr6Tba1YG1ud64YPFLGdskMg+66HswP+ByCRVDRtWuRdtous7F1SJN8cqjal5EOPMQdiMjcv8JPoQTvVnazo8Os2ixO7wzxP5ttcxcSQSDoy/mQQeCCQcg0AaNFYmiaxNcTy6VqqJBrFsu6RU4SdOgljz1U9x1U8HsTt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVxmjD/hEPEp8OsNuj6izz6S2Plhk+9LbcdB1dOnG4fwiuzrI8S6EniHRJbEymC4BWa1uVHzW86HKSD3BA+oyO9AGvRWJ4V1yTXdGEt1CLfUbaRra+tx/wAsp04YD/ZPDA91YVt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXHazjxR4vt/Dw+fTdM2X2p9xJJnMEB56ZHmEY6KnrW/r+s2/h7QbzVrkFo7aMtsXrI3RUHuzEKPc1T8IaNcaPoY+3sH1S8ka8v5B0ad+WA9lGEHsooA3qKKKACiiigAooooAKKKKACud8M/6Zfa5q55FzetbxH/pnAPKx/wB/BKf+BVp65qS6PoV/qTLu+y27yhf7xAJA+pOB+NR+HtNbR/Dun6e7bpYIFWV/78mPnb8WyfxoA06KKKACiiigAqvf2cWo6ddWM4zDcxPDIPVWBB/Q1YooAxfCN5LfeFNNluDm5SLyLj/rrGTHJ/48rVtVzvh3/Q9a8Q6WeBHdi8iH/TOddx/8irNXRUAFFFFABRRRQAUUUUAZet6KmrwRPHM1rf2zeZaXaDLQv9P4lPRlPBH4ER6HrT6gZrK+hW11a1wLm3ByCD0kQ/xRtg4PbkHkGtisjW9FOpCG7s5ha6ra5Nrc4yBnqjj+JGwMj6EYIBABr0VlaJrS6rFLFNCbXUbVgl3aMcmJuxB/iRuqt3HoQQNWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOO1kDwx4utvEKfLp2pmOx1T0STOIJzx6nyySejL/AHa7Gqmqaba6zpV1pt7H5lrdRNFIvsRjj0PoexrF8F6ndXWlzaZqcm/VtIl+x3bHrLgAxy4znDoVb6lh2oA6WiiigAooooAKKKKACiiigAooooAKKhlvLaF9ktxDG2M7XcA0554Y4fOeVFiwDvLADnpzQBJRTI5Y5kDxSK6H+JTkVFf3tvpmnXN/dPst7aJppWxnaqgkn8hQBy+qf8VF48sNIU7rHRQuo3uDw05yLeM854w0n4JXYVzPgaxuYdBOpaghTUtXla/ulJOYy+NkfPPyRhEx/smumoAKKKKACiiigAooooAKKKKAOd8Vf6XJo+kDn7bfxtKP+mUOZmz7Eoq/8Droq52H/T/H1zL1j0uxWBf+ukzb3H1Cxxf99V0VABRRRQAUUUUAFFFFAHO3n+g+PdMuOiajaS2b+8kZEsf/AI759dFXO+M/9H0aDVB10u7hvCfSMNtl/wDITSV0VABRRRQAUUUUAFFFFABRRRQBi63o0t3LFqemSJb6xaqRDI33JU6mKTHVD+ankehsaLrMWs2ruI3t7qB/KurWT78EndT6+oI4III61pVha1pFw10ms6OUj1aFNhRzhLuPr5Un6lW6qT6EggG7RVDR9Xt9asftMAdGVjHNBKMSQyD7yOOxH68EZBBq/QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFchr2fD/AIw0zxCmRZ323S9RxnA3MTbyntw5KEntKPSuvrP1zSLfX9CvdJuv9TdwtEWAyVJHDD3BwR7gUAaFFYHg3V59Y8NwvfYGpWrtZ36gg4njO1zx2ONw9mFb9ABRRRQAUUUUAFFFFABRRUc08VtC808qRRINzu7BVUepJ6UAee+KYrDVPiv4etLuK3MGl2U+p3TSqCCCRFECT6NkgV0NqdO8daHHKoin8PTf6uLb/wAfARsfMP4Vyv3epxzjla5vwVc6Z4k+InizXFube4eKaOzs1EoYrHEg3SKM8gs/DfkeTTfBuqaf4c8feIfBv223EEk4v9PQSj5TJ/rIfYhuQvXBJoA9GtrW3srdLe1gighQYWOJAqr9AOBXLeNB/a9zo/hZQWTUrjzrwYyBawkO4OOm5vLT/gZrpr++ttM0+4v72ZYbW3jaWWRuiqBkniuE8B+ItL8beLfEHiCxnEi28cFhbI6FZEhALs5B7O5I9cRjOKAPQ6KKKACiiigAooooAKKKKACiisXxbdzWfha/a2bbdTILa3PpLKwjT/x5xQBX8G/6TpVzqx5bVbuW7B9Y87Ij/wB+kjroqgsrSLT7C2srddsNvEsUY9FUAD9BU9ABRRRQAUUUUAFFFFAFbULKLUtNurGcZhuYXhcf7LAg/oaz/CV7Lf8AhTTZrg5uVhENx/11j+ST/wAeVq2a53w5/omseIdLPAjvBdxD/pnOu4n/AL+iagDoqKKKACiiigAooooAKKKKACiiigDA1jS7q2vv7d0VAb9VC3NsTtW9jH8JPQOOdrfgeDxp6XqlrrFgl5aOTGxKsrDa8bA4ZGU8qwPBB6VcrndU0+60u/fXdGhMsjgfbrFePtSgY3L2Eqjof4gNp/hKgHRUVV07ULXVbCG9sphLbyjKsOPYgg8gg5BB5BBBq1QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcjD/wASP4lTQZ22niC289ATwLqEBXAHbdEUP/bI111ct4/glXw2NXtVZrrRZ01KNVbG9Y8+Yv8AwKIyD8a6W3niuraK4gkWSGVA8bqchlIyCPwoAkooooAKKKKACiiigAooooAKKKKAOf8AHL2KeBNcbUYxLaCyl3x5wXO04APYk4A98Vxngf4P2fhkK1w80r3NpGbiRLqSGWC4XqsbRlcodx6nIKDrnjpvGhF/eeHvD4ZcahqKzTIy5DQW485gfqyxr/wKutoAp6Y9obTyLS7N0ts7QO7TGVw6nBVmJJ3Dvnms2Y+LbeeRoV0W/h3EojGW1YLngE/vATjvgZ9qyfIupPFF55Dw6fr0f71CFP2fUrXOF3rnO5c7Sw+ZTg/dYLXaUAR27SvbRPPEsUzKC8avuCtjkA4GfrisX/hM/D6SmK51FbJ87dt/G9rk+3mhc/hW9SMqupVgCp4II4NACI6SRq6MGRgCrKcgg9xTqQKFUKowoGABxgVz/wDwi8tvzp3iLWrT0V7gXK/j5yu35EUAdDRTDvWE7cPIF43HaGPvgcflWF/betW5AvfDFww7vYXUUyj/AL7MbfktAHQVzut/6b4l0DTByqSSahMP9mJdqg/9tJUP/AK35poreCSeeRIoo1Lu7sFVVAySSegArmvD97a634o1vVbW5huIIVhsIHikDqQq+Y7AjsTKFz/0zoA6iiiigAooooAKKKKACiiigArnbv8A0Hx7ptx0TUbOW0c+skZ8yMf98meuirnfGf8Ao+kW+qDrpl5Ddk+kYbZKf+/TyUAdFRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHNajZ3OgX82t6VC81tMd2o2EYyZP+m0Q/wCegHVf4wP7wGd6zvLbULOG8tJkmt5lDxyIchge9T1y95BN4WvJtVsYnl0mdjJf2ka5MLHrPGB+bqOv3hzkMAdRRUcE8N1bx3FvKksMqh0kRsqykZBB7ipKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGuiyRsjqGRgQysMgg9jXLfD9pLfw/Nok7SNLol3Jp+6QYLRqQ0J/GJo66uuShA0r4o3UYULDrenLOCW+9PbtsbA945I/wDvigDraKKKACiiigAooooAKKKKACiiigDlLY/2j8Ub6USExaRpkduEI4Es7l3I99kUX/fVdXXKeBS13ba1q7Osg1HVrh43HeKMiBP0hz+NdXQBVutOtby6tLmaPM9o5khkDEFSVKnp1BB5B46egpmq2M1/ZGK2vprK4Vg8U8XO1h03KeGX1U9fY4Iu1zmrW9xpGsJr1jFJNDLth1K2jUsXTosygdWTPIHVc9SqigC9o2oX9z51pqli1te2+N7xgmCYHOHjb0OOVPzL3yME6tFYkuvNp2s/YtVgW3trhwtleK2Y5GP/ACzc/wAD5zjPDdjnigDbooooAKKKKAIrieK1tpbiZgsUSF3Y9lAyTXKeGfCuk3GgWF/qOj2balcZvZJXhXzY3lYyld2MjG7HXtV/xmTNoI0xT8+qTx2OB3R2/eflGJD+FdAAAAAMAdAKAI7mJ57aWKOeS3d1KrNGFLIfUBgRke4IrHgsfEtrPH/xOrK9ttw3rcWJSUrnnDo4XOP9it2igCG7ne2tZJo7aW5dBkQw7d7+w3ED8yKyrbxRZzXUVrPaanZzyMEVbmxlVST28wAp/wCPVt0UAFFV76xtNSs5LS+t4ri3kxvilUMpwcjj6gH8KzrPwxYaddRz2Ut/AEOfJF7K0R9vLZio/ACgDZoqrqC3zWjDTpbaO5yNpuI2dMdwQrA/jn8DVCxufEIvEh1HTLDyDnNza3jNjjjMbIMc8cMetAGzVbUbGLU9Mu7CcZhuoXhcf7LKQf0NN1DUbbS7b7RdtIsW4KWSF5MZ9QoJA9zxVfTvEWi6vIYtP1WyupR96KKdWdfqucj8RQBD4TvpdQ8K6bPcHNyIRFcf9dU+ST/x5WrZrnfDn+iat4g0s8CK9+1xD/pnOocn/v4Jq6KgAooooAKKKKACiiigAooooAKKKKACiiigDlZkbwbcyXcClvD0zl7mFRn7C5OTKg/55E8sv8J+YcZrqEdZEV0YMjAFWU5BHqKUgEEEZB6g1yoz4KuMHJ8Nytwf+gc5PT/riT/3wf8AZ+6AdXRQDkZHSigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuU8ar9kn8Pa4qoDp+qRJK7HG2GfMDfrIh/wCA11dYXjPTG1nwVrNgiF5ZbSTyQOvmAbkP/fQWgDdoqhomojWNA07Uwu0XlrFcBfTeobH61foAKKKKACiiigAooooAKpaxqC6Tol/qTjctpbSTkeoRS39Ku1yvxHMzeAtStrfPnXvlWSgd/OlSIj8nNAFvwPYf2Z4F0K0KbXSyiMgP/PRlDOf++ia36AABgDAooAKKKKAKN1q1vZ6pZWM6yI15vEMpA8suozsznhiMkDHIU+lWLu0t7+0ltLuCOe3lUrJFIoZWB7EGoNW0u31nTZbK43Kr4ZJEOHicHKup7MpAIPqKntEuI7OBLqZZrhY1EsqJsDtjkhcnGT2zQBFfX1po+nNdXLGO1hADMELbFyBk4BIA7noBkngVZjkSWNZI3V43AZWU5DA9CDTiMjBrK0vQ49Gup/sU7x6fL8y2JGUhfPJjP8KnuvTPIxzkA1aKKKAOeu/9P8d6fb9Y9NtJLxx6SSHyoz/3yJ66Gue8Nf6Zfa5q55FzetbxH/pnAPKx/wB/BKf+BV0NABRRRQAUUUUAFFFFABRRRQAVG1vC06ztFGZUBCyFRuA9jUlFAHIa7pyy+NtNZrm7tkv7WS3MlrO0TeZEfMjBx1G15zg5HFbWnaXf2NyTLrl3fW+0gRXUUW4HsQyKv65ql4y/0fSbXVR10y9huifSPdslP/ft5K6KgCjqdzqNrFG+n6cl8d37xDcCJgPVcggn2JFQ6Zq899O8Fzo2oafIq7s3IjZG5xwyOw79ODWpRQBWutRsbKSKO7vLeCSbIiWWVUL4xnaCecZHT1qyCCAQcg96gurK1voTDd20NxEeqTRh1/I1U03w/pGjSySaZp8FmZBhlt12If8AgI4/SgDSorO1Sz1O5aN9O1X7EyA7ke2WZH+oyG49mHWjS11lDKurTWEwGPLktIniz1zlWZsdujGgDRorM1PWRpcqLJp+ozxMuTNa25mC+xVctn6Kak0zWLHV0kazkkYxkB0lheJ1z0yrgEflQBfooooAKKKKACmyRpLG0ciK6OCrKwyCD1BFOooA5W3kfwddR2Vw7PoEzhLWdjk2Tk4ETn/nmTwrHp90/wANdVUdxbw3dtLbXMSSwSqUkjdcqykYII7iucsribwxew6TqEry6XOwj0+8kbJjY9IJWPfsjH733T82CwB09FFFABRXnVvZQ618XtbVnuPsGmWEMc0IuJAjXEpL7sBsZCAD8a24tBsbq/0TWdJe5SKOZncrdSbJYTFIASpbDAsUIOM/rQB1VFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHJ/DoLb+ExpgkMjaXeXVgSewjmcJ/45srrK5Pws0dt4r8Y6aibQt/FeD386BM/+PRv+ddZQAUUUUAFFFFABRRRQAVyfjhZJn8M2sef32u2xYD+7GHmP/oqusrk/EUrN498GWw+75t3cEf7tuU/9q0AdZRRRQAUUUUAFZmu/2mmni40khrm3cSm3YDFygzujyfukg8HswGeMitOigCppmpW2r6bBf2bl4Jl3LkYI7EEdiDkEdiCKt1VIsdLt5pj5FpCzmWVzhF3MeWJ6ZJ71aoAwdT0m9t799Y0SQC8YD7RaSuRDdqBgZ/uOBwHHsGBGMW9U1Y6Z4autWlgeN4LVpzA5BYMFzsO0kE544J56Vp1zHjRbi9t9N0azkjS4vrxW3SIWVViBmJYAglSyIpGf46ANXw9praR4d0/T3bdLBAqyv/ffHzN+LZP41pVjaPrv264k06+g+xavAu6W1Zshl6eZG38aE9+o6EA8Vs0AFFFFABRRRQAUUUUAFFFFABRRRQBV1Kxi1TSrvT5xmG6heF/91lIP86o+FL6XUfCum3Nwf9J8gR3HtKnySD/vpWrYrnfDf+iar4g0o8CG9+1RD/pnOocn/v5535UAdFRRRQAUUUUAFFFFABRRRQBlal4c0vVrhbm6gkFyq7FngnkhkC5JxuRgepPfvU+maaNLheJby8uUZtw+1TGVk9gx5x9SavUUAZWoPr8Vzv02HTbm32j91cSvC+e/zhXH/jtWdNuL25t2a/sBZzBiuwTCUMMDkMMcfUA8VcooAyL3xRommXps9Q1KCzmGP+Pk+Upz0wzYU/ga0re4guoVmt5o5om+68bBlP4ipGUMpVgCDwQe9R29rb2kZjtoIoULFisaBQSepwO9AEtQXtlbajZTWd5Ck1vMpSSNxkMDWbe6FcT3kl1aa9qljI+CUjaOSLpj7kiNj8MVixDUPEV5d6Dd35+x6e4S/lRPJmuyw3KgUHKR7TgsMb8EDAySAHhvxIIr5tHubiW6shMYNO1aQfLclRzEW6M68jd0fae4NdkSFBJIAHJJrmdWL/Y5dIuPClzc6UFCRtYyxfKoxtIUsjKRgY25IIGK87uvixY2Wvw+DfEeiyanCJo4nuruIK+1wpQyQsvLANyQcHGQOcUAb/gPQdM8U6BrOvalp9pdPrmoXM0MlxAsjJCD5aAZHQBM/jXZaPd232ptI0xo3s9LgS3lZTnbJgbYwRxlVGWH+0vvUVv4b8ITLJb2ui6G6xEo8cVrEQhzyCAOOe1amn6Xp+kW32bTbG1srfcW8q2hWNcnqcKAM0AW6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOUtpVt/ivqNuEA+2aNbzE+pimlU/pIv5V1dctf+Xb/E/RJT9+50q9g/75kt3H/s1dTQAUUUUAFFFFABRRRQAVzOoIk3xK0EE/NBpl9Lj6vbL/U101cnM2fi7Zr/AHdBnP5zxf4UAdZRRRQAUUUUAFFFFAEVxbw3dtLbXESSwSoUkjcZDKRggj0xWV4ettQ06OfS7zfNbWpAs7tnBaWI5wr996Y2knqNp6k42qD0460AFc9D/p/j65l6x6XYrAp/6aTNvcfULHF/31V7Q9YGsWcjSQm2vLeQw3dqzbjDIOozxkEEEHHIINUfB3+kaVcasfvapdy3YPrGTsiP/fpI6AN8ohkVyil1BAbHIB6/yH5Vnz63a2usw6ZdLJA9wv8Ao80gAimbnKK2fvgDO04JHTODjSqtqGnWmq2MtlfQJPbyDDI36EHqCDyCOQeRQBZoqrBHHpemok127xW8fzXF1IC20d2bjt3NWgQRkcigAooooAKKKKACiiigAooooAK526/0Hx/YT9I9SspLVz6yRN5kY/75eb8q6Kud8Zf6Ppdpqo66Zew3RPpHu8uU/wDfuSSgDoqKKKACiiigAooooAKKKKACiiigAooooAKKKKACsXW9GmuZ4tU0uRINXtlKxu33J06mKTHVT2PVTyO4O1WBq2s3Ml8dF0MJLqZUNNM4zFZIejv6sf4U6nqcDmgCmfGDaii6fo9oTrrZWe1uBgWBHVpiO390D7/G3jLCF/hn4du3F5qUD3msH5n1R3KzeZxh1wcLtwNoAwuBiug0fRbXRbV44S8s0reZcXMpzLO/dnPc+g6AYAAAxWjQBxdrpml3mpnSvE2k2E2sKpeC/wDs6qbyMdXVgMq443KDx1HBFdda20Vnax28IYRRrtUM5c4+pJJ/GqusaRb6zZfZ5meORGEkE8RxJBIOjoexH5EEg5BIqnour3Ely+kauqR6tAu7KDCXUecebH7dAy9VJxyCCQBstn4ogmke01bT7iIsSsN3ZsrAdh5iOB+aGtq3Mxt4zcrGs5UeYsbFlDY5wSASM+wqSigDAfxfpts7Lfw6hYkHBa4sZRH/AN/ApT/x6tyKWOeFJonV43UMjKchgeQRT6CMjB6UAFFc+PB9jBzYXmqWB7C3vpCg+kblk/8AHa3WDiEhGBkC4DOOp9TigB9Fc8NQ8UWpAudCs7tP79jfYY/8AkVQP++zW9NKkEEk0hIjjUsxxnAAyeBQA+isux8S6HqcnlWWsWM8vQxJOpcH0K5yPyrUoAKKKKACiiigAooooAKKKKACiiigDkPEQK/EPwXIOha9iP4w7v8A2SuvrmPEiZ8WeDZMdL+dfztJz/SunoAKKKKACiiigAooooAK5GQf8Xhtz66BL/6UR/4111cvcRFfipp02OJNEulz/uz25/8AZqAOoooooAKKKKACiiigAooooA5bxbaLY2d9rFlJJDqNxajT0CEbZZJHCQlh3Ku/BGOGNdFZWkWn2FvZW67YbeJYox6KoAH6CsXW/wDTfEugaYOVSSTUJh6rEu1Qf+2kqH/gFAubjRPEX2e7mkl03U5M20sjE/Z58cxEn+FsZX0OV7qKAOhooooAbJGksbRyIrowKsrDIIPUEVi6ZpF3ol8LeymSTRGBK28rHfaN2EZ5zGf7p+72OPlG5RQAUVjaxHrFvcx6jpT/AGlY02zadIQomXOdyN/DIPc7T0OPvDQ0++i1Kxiu4VlRJAfkmjKOpBwQynkEEEfhQBZooooAKKKKACiiigAqrqdhFquk3mnz/wCquoHgf6MpU/zq1RQBj+Fb+XUvC2m3Vx/x8mBUn9pV+WQf99K1bFc74a/0TU9f0o8CC+NzEP8ApnOokJ/7+GX8q6KgAooooAKKKKACiiigAooooAKKKKACiiubvtTu9avptH0KUxJE2y+1JQCID3jjzw0v6J1OTgUAO1PVru/v5NF0F1F0mBd3pXdHZg84x0aUjovbq3GA2ppOk2mi2ItbRWwWLySO255XP3ndjyzHuafpumWmkWEdlZRCOFMnGSSxPJZieWYnkk8kmrdABRRRQAVm61o0WsWyDzXt7uBvMtbuMfPBJ6j1B6FTwQSDWlRQBjaJrMt5JLp2oxJbavagGeFT8kingSxk9UP5g5B5HOzWVrejDVI4p7eb7LqVqS9pdKuTGx6qw/iRujL39iAQmiaydSWa2uofsuqWpC3VqWztJ6Op/iRsEhvqDgggAGtRRRQAUUUUAFFFFAFW702xv9v2yyt7jYQV86JX2kdxkVLcw/abaWHzZIvMUr5kTbWXPcHsalooAwoNG1m0njaHxNcTwBgXivbaKQlc8gMgQjjuc/jWtdyzw2kkltbm5mUZWEOE3n0yeBU9FAGHa+IpZLqK2vNB1eykkYKGeFZY8n1eJnAHuce+K2ZporeMyTSpFGMAs7BQM8Dk0+ori2gu4HguYY5oXGGjkUMrfUHg0ASAhgCCCD0IpaxbTwnoWn3iXVhp0dlIh3AWjNChPuiEK34g1o38V3PaslldJaz5BWR4vMA9iuRn8xQBZorHsR4kivES/bSrm1Od80CyQuOOMIS4POP4h/Sruo6gmm2wuJLe6mTcFK20DSsPfaoJI+goAt0Vk2HibR9TuhaW95tuiCRbzxvDKQOvyOA3H0rWoA5vxGR/wkvg8d/7SmP/AJJ3FdJXJ+JZQPG/gqDPLXd1Jj6Wsg/9mrrKACiuKi1TXL/4i6polrqUKafY2kU0jfZQXSWRjtTOcY2DPrViLxBqGn+PLTwzfyQXiXtm9zDPFEY3iKHBDjJBB7EY5GMd6AOtooooAKKKKACuU1qYw/Enwp6TW1/Cfyhf/wBp11dcr4qEUHiTwffSHGzU5Lf/AL+W0wH/AI8q0AdVRRRQAUUUUAFFFFABRRUdxPFa20txMwSKJC7seygZJoAwtJ/07xbrmoHlLfytOiP+6vmOR9WlCn/rnXQEA9RmsPwfBJD4Xs5p1K3N5uvZlPUPMxkI/Ddj8K3aAKyahavqUunLKPtcUazNEQQdjEgMM8EZBHHTvVmsfXtJnvRb32nMkWq2TF7d3JCuD9+J8c7GA/AhW6itgdOaACiiigApshcROYlVpAp2qzYBPYE4OB+Bp1FAGTo2uxaqZbaaF7PUrfH2mylILR56MD0dD2YcH2IIGtVS402zur61vZoFa6tS3kygkMoYYIyOoPcHjgHsKdLqFpDfwWMs6Jc3Cs0MbcGQLjOPUjPTrQBZooooAKKKKACiiigDnbn/AEHx/YzdI9SsZLZz6yRN5kY/75eb8q6Kud8Y/wCj6bZ6qOumX0NyT6Rk+XKf+/cjn8K6KgAooooAKKKKACiiigAooooAKKK5WW6uPF8z2unzSQaEjFLi+jYq92RwY4SOidmkHXovdgAPur+68S3Uum6PO8GnxMY73UozySODFAf73Zn6L0GW+7v2Nha6ZYw2VlAkFtCu1I0HAH+Pv3p9rawWVrFa2sKQwRKEjjjXaqqOgAqWgAooooAKKKKACiiigArH1vRpL5ob6wlW21a1B+zzkZVgescgHVGwMjscEcitiigDM0XWY9Xt5A8TW17bt5d3aSHLQv6e6kchhwRzWnWJrWjzzXEeraU6Q6vbrtUvwlxH1MUmP4T2PVTyO4NvR9Yg1mzM0aPFNGxiuLeXiSCQdUYevfPQggjIINAGhRRRQAUUUUAFFFFABRRRQAUUVFc3VvZwNNdTxQRL1klcKo/E0AS0Vzx8a6PKSunNc6q/b+zrd50/7+AbB+LCk/tHxPe/8eehW9gh/wCWmpXYLj/tnEGB/wC+xQB0VRXFzBaQtNczRwxL955HCqPqTWF/YWtXnOpeJrhVPWLTYEtkP/Am3v8AkwqW38G6BBMs76cl3cL0nvma5kB9mkLEfhQBGfGujSkrp0lxqr9MabbvOv8A38UbB+LCqOpprniS3WAaALGJW3rLeak0UqHBGQtuSe/TeK64AKAAAAOABS0AfPniP4X+Jrn4naCT4iE7zo06XDNKGtkhZNwXezk/6xcZY5JOcV9B1ykkzS/Fq2g/gttClf6GWeMf+0TXQ6jZyX9m9vHfXNmW4Mtts3gYxgb1YD8s0AcH8Pob7Vm8Q+Jbe8SJNV1SXymMO8tDF+6jOcj+6a7DTvD9rYancao8kt3qdwgie7nILCMHIRQAAqgnOAOTycnmmeGPDlv4U0ODSLO6uZ7WAYiFxsygySRlVXPJJ5ya2aACiiigAooooAK5P4gJGmjadfyPsSw1exuGPovnqjf+Oua6yuc8fWX2/wCH+vQAEuLGWSMDrvRd6/8AjyigDo6Kradex6lplpfw/wCquYUmT6MoI/nVmgAooooAKKKKACuf8ZEzaCNMU/Pqk8djgd0dv3n5RiQ/hXQVz13/AKd460+36x6baSXjj0kkPlRn/vkT0AdCAAAAMAdBRRRQAVj67qs+i/Zr5o0bS1crfPg74VONso7bVP3uOhz/AAnOxTXRJI2jkVWRgQysMgg9jQA4EEAg5B6EUVXsbKDTbGCytVZbeBAkasxbao6DJ54qxQAUUUUAFUtU0qz1myNpexb48hlZSVeNx0dGHKsOxHNXaKAKel215aWKwX179tlQkCcxhGZc/LuA4LY6kYB64HSrlBGRg1z1nBqeg30Vonnajo8zbY3Z909mT0DE8yR+h+8vfcOQAdDRRRQAUUUUAVNUsItV0i906b/VXUDwP9GUg/zqn4Wv5dT8Labdz/8AHy0CrOPSVflcfgwYVr1zvhn/AETUdf0o8CC+NxEP+mc4Emf+/hlH4UAdFRRRQAUUUUAFFFFABSMyohZmCqoySTgAU2aaK3gkmmkSOKNSzu7YVQOSST0Fcusc3jVxLcI8PhsHMcDAq+oejOOoh9F6v1Py8EAQvN41YpEzw+GgcNIpKvqPsp6iH1PV+3y8t1MUUcEKQwxrHEihURBgKB0AHYU5VCqFUAKBgAdqWgAooooAKKKKACiiigAooooAKKKKACsHWNKukvBrejBRqcahJYWbal5EP+WbHsw52t2Jx0JFb1FAFHSdVttZsFu7UsBkpJHIu14nHDI69mB6j+lXq5/VtNurG/bXdFj33RAF5ZggC8QdMdhKo+63f7p4wVv2+u6Zc6SmqC9ijs2zmSZhHsI4KtuxtYEEEHkEGgDRornv+E00mbjTRd6q3b+z7Z5UP/bTHlj8Wo/tDxRe/wDHrolrp6H+PUbre4/7ZxBgf+/goA6Gobm7trKBp7q4ighXrJK4VR+JrE/sHV7znU/Et1tPWLToUtkP4nfJ+TipbbwfoFtOtx/ZsVxcr0uLwtcyj/gchZv1oAiPjTSJjt003Wqt2/s63eZD/wBtAPLH4sKT+0PE97/x6aHbWCH/AJaajdBnH/bOIMD/AN9iuiAAGBwKKAOd/sHWLznU/E1yFPWLToEtkP4nfJ+TiprbwdoFvOtw2mx3NyvS4vWa5lH0eQsR+dblFAAAAAAMAdqKKKACiiigAooooA5TSJftfxJ8TSFB/olpZWit/wB/ZWH/AJFWurrlfBRluJvEuoSoAbnWp1RsdUhVIB+sRrqqACiiigAooooAKKKKACmuiyRsjqGRgQwPQg06igDl/h3JN/wg2nWlwQZ9P8zT5AOxgkaLn8EB/GuorlPC6iw8UeK9KEbKn2yPUYyx6rPGA2P+2kUv511dABRRRQAUUUUAFc94a/0y+1zVjyLm9a3iP/TOAeVj/v4JT/wKtLW9SXR9Cv8AUmXd9lgeUL/eIBIH1JwPxpnh/TW0jw9p+nu26WCBVlf+++Pmb8WyfxoA0qKKKACiiigChrGlprGnPatK8MgIkhnj+9DIpyrj3B7dCMg8E03Rb27vLD/iYWxt72FzDOoBCM4/iQnqjAgg++DyCK0agvLg2llPciCacxRs/lQgF3wM4UEgEntzQBPRVexvrbUrCC9s5Vltp0Ekbr0INWKACiiigAooooAzNZutTsUiurC0S8hjJ+0268TMnrGc4JHPyn73Ygjmzp2pWmrWMd5YzLNA+cMMggjggg8gg8EHkHrVqo4reGBpWihjjaV/MkKKAXbAG4+pwAM+woAkorP0zWbPVjcJAzrPbSGOeCVdskTdty+hHIPQjkGtCgArnbj/AEH4gWc3SPUrF7dj6yQtvQf98yTflXRVzvjH/R9PsdVHXTb+G4J9IyfKkP4RyOfwoA6KiioJb20gfZNdQxv12vIAf1oAnoqKG4guATBNHKB1KMGx+VS0AFQ3d3b2FpLd3cyQW8Kl5JJGwqgdSTTL/ULTS7GW9vZ1gt4hud27f4kngAck8Vg2mn3fiO7i1TWoHgsomEllpknUEdJZh3fuE6L1OW+6ANhtLjxdNHeanC8GiIwe2sJVw1yRyJJh2XusZ+rc4A6miigAooooAKKKKACiiigAooqC7vbSwgM95dQ20I6yTSBFH4mgCeiue/4TPS5+NMjvdVbsbC2aSM/9tTiP/wAeo+3eKb3/AI9tHs9OQ/x39z5kg/7ZxZU/9/KAOhqC6vLWwgM95cw28I6yTOEUfiaxf+Ef1W751PxLeMD1hsI1tYz+PzSD/vuprXwjoFpOLhdMhmuR0uLrNxL/AN/JCzfrQBD/AMJnpU/GmLeaq3Y6fbNKh/7a4Ef5tR9v8UXv/Hro1pp6H+PULrfIP+2cWQf+/groaKAOe/sDVrznU/Et2VPWHT4ltUP4/NIPwesa88E6doOorr+laSt/Iv8Ax+QXGbiaVf8AnpG8hLCUemfmHHUAjuqKAK9hfWupWMN5ZTLNbTLujdehH9Pp2qxXM31tP4bvptY06F5dPmbfqFlGMkHvPEP7395R94cj5h83Q21zBe2sV1azJNBKgeORDlWU8gg0AS0UUUAFFFFABRRRQAUUUUAFFFFABUN5dRWNlPeXDbYYI2lkb0VRkn8hU1cv8Q5JD4LvLGB1S41No9Oi3dzO6xn8lZj+FADvh7ayWngDRRKxaae3F1KT13zEyt+rmumpscaQxJFGoVEUKqjoAOgp1ABRRRQAUUUUAFFFFABRRRQByepD+zviXol8Fcx6nZz6dIc/KHT99Fn3wJx+NdZXK/EKB/8AhFX1OGPzLjR54tTiXOM+S25x+Me8fjXTwzR3EEc8LrJFIodHU5DKRkEUAPooooAKKKKAOe8U/wClyaPpA5+238bSD/plDmZs+xKKv/A66Gueh/0/x7cy9Y9MslgU/wDTSZt7j6hY4v8AvquhoAKKKKACiiigAooooAy9M0f+yr+/e3mxY3TiZbXbxFKc+YVP91uDjH3tx71qUVhaLqV0mo3Oh6tIHvoQZoJ9oUXUBPDgDjcpIVgO+DwGFAG7RRRQAUUUUAFFFFAGZqGh299qFrqKSSW1/bkBbiAgM8ecmN8jDIfQ9DyMHmtIsAQCQCeg9aWqGraRa6zarDcb0eNvMhnibbJC46OjdjyfYgkEEEigC/VPVtPj1bR73Tpv9VdwPA30ZSD/ADqHR/7WSCSDV/JllibbHdQ8C4XHDFP4G7EcjuOuBpUAZPhfUJNU8L6beT/8fDwKJx6SqNrj8GDCuV1eztdc+Muj2sltDImk6bNezFkB3PIRGit9AGIra0C4h0q48Q2NzNHBBaXzXKvIwVVinAlySeAPMaUfhXMeC/Eeh3Xifxf4gudY0+IXN8tnb+ZcouYYEChlyfuszMc96ALvxNgtPD3hOXxNp1vDa6ppssMkE0KBGcGVVaNsY3KwJBU8dD2rtNT1S00iwe9vZPLiXAwASzMeAqqOWYngAck1wni6+t/Ec2nLIJf+EdtLpLiWRYzu1Kdf9VbwL1kBPJYccDB4JHTaZpF3eX6a3ryr9sXP2WzVt0dkp9D/ABSEdX/BeMkgDLDS7vWL6LWddi8vyjvsdOJBW29HfHDS4/BegycsekoooAKKKr3l/Z6dAZ767gtYR1knkCKPxJoAsUVz3/CZabPxpcF9qp7GxtmaM/SVsR/+PUfbPFV7/wAe+lWOmof4764M0g/7Zx/L/wCRKAOhqveX1pp8BnvbqC2hHWSaQIo/E1jf8I9qV3zqfiS+kB6w2KLax/mMyD/vurFn4T0GxnFxFpkD3I6XNwDNN/38clv1oAr/APCZaZPxpkV9qp7GxtmeM/8AbU4j/wDHqPtvim9/49tJstOQ/wAd/c+bIP8AtnF8p/7+V0NFAHPf8I/qd3zqfiW9cHrDYItrH+Y3SD/vup7TwloNnOLhNMhluR0uLnM83/fyQlv1raooAKKKKACiiigAooooAKKKKACuXuYpPCN1LqFqjPoczmS8tkGTaMeTNGB/AerqP94fxA9RRQAyKWOeJJYnWSN1DI6HIYHkEHuKfXKuD4LuGlQE+HJWzIg/5h7k8sP+mJPUfwHn7udvUqwZQykEEZBHegBaKKKACiiigAooooAKKKKACuT1/wD4mXjrwzpI2PHambVZ1PUbF8qP/wAfmJ/4BXWVyXhsjVPGHibWiQ0cUselW5K4IWEFpOfQyyMP+AUAdbRRRQAUUUUAFFFFABRRRQAUUUUAMlijmieKVFeN1KsrDIYHgg1zHgCSSLw6+jXDO1xolw+nMzLgsiYMTfjE0Z/GuqrknH9i/ExJdoFr4gtPLYgH/j6gBK5PQbomb/v1QB1tFFFABRRWL4su5bPwvfNbNtupkFtbn0llYRp/484oAg8H/wCkaVcasfvapdy3YPrGTsiP/fpI66GoLK0isLC3s7ddsNvEsUY9FUAD9BU9ABRRRQAUUUUAFFFFABUUlrBLcQzyQxvNDnypGUFkyMHB7ZFS0UARxXEM7SrDNHIYn8uQIwOxsA7TjocEHHuKkrBvNOubLxBDq+mxeYtyUg1C3BA3p0WYZ43Jnn1XPUqoreoAKKKKACiiigAooooAyvEupXGj+Hb3UbZImkt0Dnzc7VXI3McckBcnHtXL3cGv6dfA+I/EN3JpEzcXOmwpbpAxPCy8M6pyAHD8fxf3j217aRahYXNlOMw3ETRSD1VgQf0NYmg65bQ+D9Pu9Xvre2kji8i4knlEa+bGTHJyT/eVqAKdrplt4c8cWwtfP8rVbJ4pHnneZmlhYMmWcknKyS9/4a3dZ1q30W2R5VeaeZvLtrWEZknfsqj9STwBkkgCvKPix8UYdIGgzaAiXc8V01ylzJE/k/KhQqrcB8iRgdp4/EVu+DJfEviKwg8UG30yO7v4vkurqR5fJjz/AKuKFQAq8ZOZNzHr0AAB1uk6LcNe/wBta2yTaoylYo0OYrND1SPPUn+J+rewwK1b3ULLTYDPf3lvawjrJPKqL+ZNY/8AwjuoXfOqeI9QlB6w2YW0j/Ap+8H/AH3Vmy8K6Fp84uINLtzcj/l4mXzZv+/j5b9aAK3/AAmOn3HGl21/qp7GytWMZ+krbY//AB6j7X4qvf8Aj30yw01D/He3BmkH1jjwv/kSuhooA57/AIR7UbvnVPEl/KD1hslW0j/ArmQf991Ys/Cmg2E4uIdLga5H/LzODNN/38fLfrWzRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjKrqVYBlIwQRkEVy0bN4MuEgkJPh2ZwsMhP8AyD3J4Rj/AM8ieh/gPH3cY6qmTQx3EMkM0ayRSKVdHGVYHggjuKAH0Vy9pNJ4Tu4tNu5Gk0WZxHY3TnJtmPAgkJ/h7Ix/3Tzgt1FABRRRQAUUUUAFFFFAGdr+rxaB4f1DVpgClpA820nG8gcKPcnAH1qr4P0mbRPCenWNyxa7WLzLpmbJadyXkOe/zs1Zviz/AIm2uaD4bQ7kmuP7QvV4I+zwEMAwPZpTEPoGrraACiiigAooooAKKKKACiiigAooooAK53xvplxqPhqSWwQPqWnyJf2QwTmWI7gv/AhuT/gZroqKAKelalb6zpNnqdo263u4VmjJ67WGRn35q5XIeFcaH4g1fwq2FhRjqOnDgD7PKx3oAOmyXd+DrXX0AFc9rf8ApviXQdNHKpJJqEw9ViXaoP8A20lQj/croa57Sf8ATfFmuageUt/K0+I/7q+Y5H1aUKf+udAHQ0UUUAFFFFABRRRQAUUUUAFFFFABWZc6wLPXrXTrmAxw3iH7Pc7vleUZJiIxwdo3DnnDdMc6dY/iUaPLo0sGs30NlA+GWeSZYjG6nKurHoykAg+ooA2KK51PFtpNGqabaanq7gAb7a1Ko/v5j7I/yanfaPFd7/qbDTdMQ9HupmuJB9Y02r/5ENAHQVVvtSsNLg8/UL22tIv79xKsa/mTWT/wjl7d86p4i1GcHrFaFbSP8Cg8z/x81ZsfC+h6dP8AaLbS7YXP/Pw6eZKfrI2WP50AVv8AhMLG440uz1HVD2Npat5Z+kr7Yz/31R9p8V3v+o0/TtMQ9Hu5muJB9Y48L/5EroKKAOf/AOEdvrvnVPEeozA9YrTbaR/gUHmf+P1nXOneHvC88UWk6FbXOu3RZrdCN8rHOWkklbLKgJyWJ74GSQDr6zrj2k8emaZCt3rE67o4ScJEnTzZSPuoPzY8D2l0XQ00pZZ5pmu9SuSGuryQYaQjoAP4UHOFHA9ySSAZh8GW99pOox6w0d/qWowNFcXMkfCAg4WNTnYik5AHOeSSeal8FxW0mgwapFD5NzfxI95GrHZ56jbIQvQNuyCQOcDNdHXO+GP9Evte0o8C2v2niH/TOcCXP/fbSj8KANu3vLa6edLe4jleB/LlVGBMbYzhh2OCD+NT1iatoL3F4uq6VOtlq8ahfNK5jnQf8s5VH3l9D1XOQeoO0u7aNwAbHOOmaAFooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCG7tbe+tJbW6hSa3mQpJG4yrKeoIrAsLu48PX0OjanM81lM2zTr6Q5JPaCU/3x/Cx+8OD8w+bparX9ha6nYzWV7Cs1vMu10bv/AIEdQRyDzQBZorndMv7rSL+PQ9YmaUyZFhfv/wAvKgZ8t/SUD/voDI5DAdFQAUUUUAFFFc3421G6tNCFjpzlNU1SVbCzYZ+R3zuk45ARA75/2aAKvhH/AInOsa14pbDRXMv2Gwbg/wCjQEruB9HkMjfTbXXVV0zTrbSNLtNOs02W1rCsMSnqFUYGffirVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHKeOIJbO3svE9ojPc6JIZpEXrLasMTpjI52gOPeMV09vPFdW0VxbyLLDKgeORDkMpGQQfQinkAgggEHqDXI+EWOhapf+D5ifLtB9q0wtzus3b7nU/6tyU/3SnrQB1dxPHa20txMwSKJC7seygZJrH8HwSQ+F7OWdStzd7r2ZT1V5mMhH4bsfhUfjImbQhpin59UnjsceqO37z8oxIfwroAAAABgDtQAUUUUAFFFVNQ1XTtKh83Ub+1s4/71xKsYP5mgC3RXP8A/CW2txxpen6nqZ7Nb2pSM/SSTYh/BjR5/iu9/wBVZ6ZpaHo9xK1zIPqibFH/AH2aAOgqpf6pp+lQ+dqN9bWkX9+4lWMfmTWV/wAI3dXXOqeIdTuAesVs4tI/w8sB/wA3NW7DwzommTefaaXbJcd7goGlP1c5Y/iaAKn/AAl1pccaXYalqZ7G2tSsZ+kkm2M/g1H2jxXe/wCpstN0xD0e5la5kH1jTav/AI+a6CigDn/+EcvLvnVPEOpXAPWK1YWkf4GMCT83NWrDwxommzefa6XbLc97hk3yn6yNlj+JrWooAyPEFvqJtor3SpHN5Zv5ott+Eulxho27ZI+6ezAds5uaZqNtq+mwX9oxaGZdy7hhgehUjsQQQR2IIq3VW+v7TSrQ3V5KIbcOqs5UkKWYAE46DJGSeB1NAFqiiigArC1fWp1vBo+jRpPqzqGYvkxWiH/lpLj8cL1YjsASGarrF1cXzaJoWxtQABuLlxuislPQt/ecj7qficDroaPo9rotmYLfe7uxkmnlbdJPIeru3cn8gMAYAAoAZo2iwaNBIFke4up28y6u5uZJ39WPYDoFHAHAFadFFABXOzf6D8QbWXpHqdg8DH/ppC+9B+Kyy/8AfNdFXO+MP9GstP1UcHTb+GZj6RsfKkP4JKx/CgDoqqalZPf2L28d3PaSnDJPA2GRgcg88EeoOQRwat0UAZGjX2pSSS2Gr2Zju4AD9phQ/Z7hT0ZT/CfVDyOxI5rXorFu9cfS9W8nU4Fh0+dlW2vlbKBzgbJf7hJ+6ehyBwcAgG1RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFTU9NtdXsJLK8jLxPg5BwysDkMpHIYHBBHIIrL0nU7qzvhoWtSBrzaWtLvG1b2MdT6CRR95f8AgQ4JA36o6tpNtrNibW53rhg8UsZ2yQyD7roezD/63QkUAXqKwtG1a5F22i6xsXVIk3pKo2peRjjzEHY8jcv8JPoQTu0AFchpX/FReOL3WWG6x0cPp1jkcNOcG4kHHbCxg/7L+tX/ABhq9zpmjrb6bhtX1CQWlgpGcSMDlzwflRQzn2X3rQ0PR7bQNEs9KtAfJtowgZurnux9yck+5NAGhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRQSAMk4FABXNeMdNu5bS21rSozJq+kObi3jHWdCMSw9D99eB/tBT2rb/tPT/8An+tv+/q/41YDCWLMb8MOHUg/iKAOTs9WsvFXiXR7nT51nsrWxa/yDyskv7uPI7HaJwR1FdFqGradpMQl1G/tbOM9GuJljB/M14B4d+F2s+GPHC2+t+ILywtNVEsMF7pdwUaeUEOsbkj5Sw3EA9SpA9/V9P8Ah5Hpcpmstev4pz1nFpZGRvq5g3H8TQBqf8JbbXHGl6dqmpns0FqY4z9JJdiH8CaPO8V3v+qtdM0tD0a4ke6k/FF2KP8Avs0f8I/q3/Q46z/34s//AIxR/wAI/q3/AEOOs/8Afiz/APjFAB/wjdzdc6p4g1O5B6xW8gtY/wAPKAf83NXLDw1oulzefZ6Xax3B6z+WGlb6ucsfxNU/+Ef1b/ocdZ/78Wf/AMYo/wCEf1b/AKHHWf8AvxZ//GKAOgorn/8AhH9W/wChx1n/AL8Wf/xij/hH9W/6HHWf+/Fn/wDGKAOgorn/APhH9W/6HHWf+/Fn/wDGKP8AhH9W/wChx1n/AL8Wf/xigDoKK5//AIR/Vv8AocdZ/wC/Fn/8Yo/4R/Vv+hx1n/vxZ/8AxigDoKK5/wD4R/Vv+hx1n/vxZ/8Axij/AIR/Vv8AocdZ/wC/Fn/8YoA6Co7iCG6t5be4jWWGVCkkbjIZSMEEemKw/wDhH9W/6HHWf+/Fn/8AGKP+Ef1b/ocdZ/78Wf8A8YoAtaJaXWj6fJZ3tyktvbvstZ3c7zDgbRIT/EuSuecgAnkmqWo6rd6nfy6LoMgSWM7b2/2hktAf4Vzw0pHQdF6t2DcX8Tfhr4k8V6JbW9j4kuL5oZt7W9+IokIxjIMUS8j345P43/h/4b1Cz8JwaYvijUrS5sHaC6tYYLXbFLnccboWYghgwYk5DA98UAd3pWlWmjWK2lnGVjBLMzMWeRzyzux5ZieSTV2uf/4R/Vv+hx1n/vxZ/wDxij/hH9W/6HHWf+/Fn/8AGKAOgorn/wDhH9W/6HHWf+/Fn/8AGKP+Ef1b/ocdZ/78Wf8A8YoA6CqWsadHq+i32my8Jd28kDH0DKRn9azP+Ef1b/ocdZ/78Wf/AMYo/wCEf1b/AKHHWf8AvxZ//GKALfhnUZNW8M6bfTDE8tunnD+7IBhx+DAj8K1a4Hw7oepw3utaUvivVYRaXpkRUhtDuSYCXdzCervIOMD5eAK3v+Ef1b/ocdZ/78Wf/wAYoA6Co54IrmCSCeJJYZFKvG6hlYHqCD1FYf8Awj+rf9DjrP8A34s//jFH/CP6t/0OOs/9+LP/AOMUAalzc2ui6W00itHaWyAERxs+xBx0AJwB+gqxBPDdW8dxbypLDIodJI2DKynoQR1FYf8Awj+rf9DjrP8A34s//jFULDwRe6VLL9g8XatBbzM0kkIgtSvmHHKjydqDqSAOSc9c5AOvorn/APhH9W/6HHWf+/Fn/wDGKP8AhH9W/wChx1n/AL8Wf/xigDoKK5//AIR/Vv8AocdZ/wC/Fn/8Yo/4R/Vv+hx1n/vxZ/8AxigDoKK5/wD4R/Vv+hx1n/vxZ/8Axij/AIR/Vv8AocdZ/wC/Fn/8YoA6Ciuf/wCEf1b/AKHHWf8AvxZ//GKP+Ef1b/ocdZ/78Wf/AMYoA6Ciuf8A+Ef1b/ocdZ/78Wf/AMYo/wCEf1b/AKHHWf8AvxZ//GKAOgorn/8AhH9W/wChx1n/AL8Wf/xij/hH9W/6HHWf+/Fn/wDGKAOgorn/APhH9W/6HHWf+/Fn/wDGKP8AhH9W/wChx1n/AL8Wf/xigDoKK5//AIR/Vv8AocdZ/wC/Fn/8Yo/4R/Vv+hx1n/vxZ/8AxigDoKK5/wD4R/Vv+hx1n/vxZ/8Axij/AIR/Vv8AocdZ/wC/Fn/8YoA6Ciuf/wCEf1b/AKHHWf8AvxZ//GKP+Ef1b/ocdZ/78Wf/AMYoA6Ciuf8A+Ef1b/ocdZ/78Wf/AMYo/wCEf1b/AKHHWf8AvxZ//GKAOgorn/8AhH9W/wChx1n/AL8Wf/xij/hH9W/6HHWf+/Fn/wDGKAL+s6PDrFosbu8M8T+bbXMXEkEg6Mv5kEHggkHINVNI1t5JJdN1gRW2q2qhpADiOdM4Esef4SeCOqng9iY/+Ef1b/ocdZ/78Wf/AMYrzH4reC9Y8T32j6DYa5dapqKrJdNFeJBGkEPC7y0cakZbCgHOcHpg0Ad74dP/AAk/iK58VP8ANYW4ey0gHoyZ/ezj/fZdoPHyp/tV2NYXgzRbrw54O0rR725FzcWkAjeRen0GQOAOB7AVq3l/Z6fEJb27gtoycb5pAgz9TQBYoqCG9tbmGKaC5hlimOInSQMHOCeCOvAPT0NT0AFFFFABRRRQAUUUUAFFFFABRRRQAUhAIIOMd80tcn8RvElr4b8E6rO93DFePayJaxtIA7uw2gqOpwWBOKAOZ8AXfhldE1bX9Qm0qEanqVxcoJjGpSENsjXB9lz77vetrwLp9zFrniPVIbV7DQ7+aI6faMnl52ph5vL/AIA5wcYBOMkVY0bW/DXhrwjp2mjV7Gc2dpHD5VtKs0krBQDtRcliTngDvR8NdL1LS/C0i6lC1qbm8mubeyY82kLtlIsdscnHbOKAN3X9Et/EOiz6dcM8YkAaOaM4eGRTlJFPZlYAj6VR8J63canaXFhqgSPW9NcQXyL0Y4ysqj+46/MPxHauhrlvFWmXlvdW/ifRYTLqlihSa2Uf8ftsTlov94feQ/3uOjGgDqaKp6VqlnrWl22pafOs1pcIHjcdx6EdiDkEdQQRVygAooooAKKKKACiiigAooooAKKKKACvPdVtU1j4x2OnrJcLb2emSXl4kc7qkrOwjjVgDjjBYV6FXnHhHS7DxR4j8X6/fW0dxHLqH2C33jIEcCBSV9ixP5UAb0nh6wu7jTr/AEp7mM216d7JdSBWVCyurKWww3DHT9K30061j1STUkj23UsSwyMGIDqpJXI6EjJwevJqPRdLh0TRLLS7f/VWsKxKcYzgYz+PWr1ABRXO2MNxoOvmxjikk0nUGeWAqpYWs3LOh9EbllPQHcO6iuioAKKKKACiiigDnZf9B+INvJ0j1PT2hY/9NIH3IPqVlk/75roq53xf/o1pp2rDg6dqEMzH0jcmGQ/QJKx/CuioAKKKKACiiigDC1bR7sXv9r6LMsOpBQssMrHybtB0Vx/Cw7OOR3yOK17SaWe0hlmt3tpXQM8LsrNGe4JUkHHsamqG6SeS0lS2mWGdkIjkZN4RuxK5GR7ZFAE1FYmk66892dK1WBbPV0Ut5YOY7hR1kiY/eXpkfeXPI6E7dABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRQSACScAdTQBna7rVr4f0a41K73skQ+WOMZeVycKijuzEgAeprO8J6LdWFvc6nq21tb1RxPeFTlYsDCQqf7qLx7nce9ZulA+NdfTX5VzoWnyMNKjbpcSjKtckdMDlUz/ALTcZFdpQBh+MPEkXhPwve6xJGZnhULDCOssjHai/iSPwzUHhnw89lBHqWsst5r867ri6cZ8snny4v7iDpgYzjJ5NUPiXpVzqfheGW0t3uZNPvoL5reMZaZI2yygdztJOO+K34PEWjXNlHeQ6nbSQyfcKyAlj/dC9d3bbjOeMUAZzeGx/wAJ9BrqArbpZSI0YbCmdmUeZt/vbAVJ9MDtXSVT057qaKWe5UxiWTdDCygNGmAAG9zgt7bsdquUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBxV6D4G1uXVI/+Rb1GXN8naxnY488f9M2OA47HDd2rtQQQCDkHvTJoYriCSCeNJYZFKPG6gqykYIIPUEVxulTyeCdUt/Dt9I76LdP5ekXcjE+S3a1dj/44T1A29QMgHa0UUUAFFFFABRRRQAUUUUAFFFFAEVzbQXlu9vdQRzwvw0cqBlb6g8GqmnaDo2kOz6bpNhZOwIZra2SMkeh2geg/KtCigAooooAKowarbz6vdaZiSO6t1STbIMCSNhw6c8jOVPcEe4JvVl6vo51CazvLeb7Nf2cu6KbbuBQ43xsOMqwHTsQp6gUAalFFFABRRRQBS1nTk1fRL/TZDhLu3khJ9NykZ/Wq/hrUX1bwzpt9KMTTW6GZf7smMOPwYEfhWrXO+F/9Eutc0k8C11B5Yx/0znAmz9N7yD/AIDQB0VFFFABRRRQAUUUUANKKzKxUFl+6SOR9Kz7vWraw1W3sbtJIVuQBBcuB5TyZP7vdnh+4BxnPGSCK0qgvLK21GzltLyCOe3lXbJHIMqwoAnoqpawRaTpixPcyNBboczXMu5go5+Zj1wO55wOSetWlZXRXRgysMgg5BFAC0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXG63NL4u1aXwvYu66ZAR/bV0jEZBGRaoRzuYffI+6px1bi14k1u9e9j8OeH2X+2blN8lwy7ksIc4MrDu3UIvc9eAa2NE0Wz8P6TDp1kr+VHks8jbnlcnLO7d2Y5JPvQBdhhitoI4II0ihiUIkaLhVUDAAA6ACn0UUAFQraWy3BuFt4hORgyBBuI+vWpqKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqeq6XZa3pdxpuo26z2lwmySNu49QexBwQRyCARVyigDkdE1S90LU4/DXiG4aZnyNM1KT/AJe0H/LOQ9POUdf7w5HOa66qGs6PZa9pkun38XmQvggg4ZGHIZT1VgeQR0rB0jWr3RtSi8O+JZd88hK6fqRG1L1R/C3ZZgOo6N1HcAA62iiigAooooAKKKKACiiigAooooAKKKKACiiigDE1zUbrRbi31J33aQv7u9TaMwAn5Zgeu0Hhh2B3cbTnaBBAIOQehFI6JLG0ciq6MCrKwyCD1BFQobSxS2tFaGBSPKt4shc7VztUd8KDwOwoAsUUUUAFc7L/AKD8QYH6R6np7RMf+mkD7lH1Kyyf9810Vc74v/0a203VhwdO1CGVj6RuTDIfoFlY/wDAaAOiooooAKKKKACiiigAooooAQgMpVgCCMEHvWHp+i3Oh6isemSx/wBiyZL2UpP+jNgkGE4+6T1Q8DOVI+6d2igAorI1mDV0kiv9ImWSSEESWExAjuF9mxlHHY9OxHcXNN1CPU7FLpIZ4dxKtFPGUdGBwVIPoe4yD1BI5oAt0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzviXxFNp8sGkaPAl54gvVJt4GJ2QpnBmmI+7Gv5sflHPRfEXiR9Onh0jSYFvdfu1LW9sThIk6GaYj7sYP4seBz0m8OeHU0OGeae4a91W8YSX19IuGmcdAB/Ci9FUcAe+SQB/hzw9D4fspEM73d9cv517eygb7iU9WPoB0CjhQAK2KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqOr6RY67pk2n6jbrPbSjlTwQezAjkEHkEcg1eooA42y1i/8K3sOj+Jbhriymby9P1p+N/pFcdlk7B+j+zZB7KoLyzttQs5bO8gjuLaZSkkUihlYHsQa48PqPw/BWY3GpeFV5WXmS401fRuplhHryyjrkDIAO3oqK1ure9tYrq1njnt5VDxyxsGV1PQgjqKloAKKKKACiiigAooooAKKKKACiiigArO1vSIta01rV5GhlVhLBcJ9+CVeVdfcHt3GQeCa0aKAKOkTX8+mRNqdstverlJlRsqzAkbl/2WxuGeQDzzV6qmp3VxZabPdW1m15LEu8W6NtZwDyF/2sZwO5wMjOafYX1tqdhBfWcqy286B43XuD/npQBYqjrWnJrGh3+mucLd28kJPpuUjP4Zq9RQBl+G9RfV/DWm38oxNNbo0q/3ZMYcfg2R+Falc74W/wBEuNc0k8C01B5Ix/0zmAmBHtud1/4DXRUAFFFFABRRRQAUUUUAFFFFABSHO07QCccZpaKAMjSNeXUJ5bG7gNlqsA3TWjtu+XoHRuN6H+8PoQDxWvVW602zvbi1uLiBXntX8yCTo0ZIwcEc4I4I6HvSz6haWt5bWk86xz3RYQK3HmFRkgHpnBzjqQD6GgCzRRRQAUUUUAFFFFABRRRQAVzOueJLhdR/sHw/DHd62yhpC+fJskPSSYj9EHLew5qpd6/f+JruXS/Ccqx28bFLzWyoaOE90hB4kk9T91e+TxW9oWg2Hh3ThZ2EbBSxkllkbfLPIfvSSMeWY9yf5ACgCDw74ct9AgmfzpLzUbthJe382PMuHx1P91R0VRwo6dydqiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDj7nw5qHh26l1LwgI/LkJkudFlbZBO3dom/5YyH/AL5PGQOtbGg+JdP8QRyi2MkN3bkLc2Vwuye3Y9nT+RGQexNbFYeu+F7LW5YrwSS2Wq24xbajanbNFznbnoyHujAg5PHegDcorj4/FN94dlSz8YxRwwkhItatwRaynOB5o5MDcjqSpOcN2rrkdZEV0YMjDKspyCPUUAOooooAKKKKACiiigAooooAKKKKACs/TtJg0ue9a2eRYbqYzmAkbI3P3ivpuPzEepJ7mtCmuodGQkgMCCVJB/AjpQA6isDQby5trqXQNTlaW8tk8y3uH63VvnAc/wC2pIV/fB6MK36AOdk/0H4gwv0j1TT2jPp5kD7l/ErM/wD3xXRVzvi7/RoNL1YcHT9QhkY+kchML/gFlLf8BroqACiiigAooooAKKKKACiiigAooooAKq6jptpq1lJZ30KzQPgkHIII5DAjkEHkEcg9KtUUAUdKtLuxs/s93fNelGIjmdArlOwcjhmH94AZ9M1eornYbXU9Av0jtvO1DR55MGN33TWZY9QSfniyehO5e2RwADoqKKKACiiuY1PxePt8mkeHrT+19XQ7ZUR9sFrzjM0vIXv8oyxx070AbWq6vp+h6fJf6ndx21tH1dz1PYAdST2AyT2rlzZ6x44B/tKO40fw6w/48clLq9Xv5pHMSHpsHzHnJHSr+leEyNQj1nxBd/2rrCZMTsm2C0z1EEfO3sNxyxx17V01AEVra29laxWtrBHBbxKEjijUKqKOgAHQVLRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADZYo5onilRZI3UqyMMhgeoI7iuSbwtqHh6RrjwfdRw25JaTRrsk2rZOT5TDLQnk9Mr/s966+igDnNJ8Y2V9erpeoQTaRrJH/AB43uFMnqYnHyyr15Uk8cgV0dUdW0bTddsWstUsobu3bnZKucH1B6g+45Fc8dJ8TeHMtod9/bFgMn+ztUlIlQcnEVxgk9gBIG6feFAHX0Vzmm+NdLvb5dNvBPpWqt0sdQTynfnH7s/dkGe6E10dABRRRQAUUUUAFFFFABRRRQAmBkHAyOM1XstQtdQWZrWYSeRM8EowQUdTggg8+/uCCMgg1ZrFm0m4t/EkWrae0arcDytQhckCRQDskH+2p491OD91aALet6ausaFqGmucC6t5Id393cpGfwzmo/DmpNq/hvTdQkGJZ7dHlX+6+PmH4NkfhWnXO+Ff9Fm1vSTwLPUJHjH/TOYCYY9t0jr/wGgDoqKKKACiiigAooooAKKKKACiiigAooooAKKKxda8V6PoEiQXl1uvJR+5srdDLcS9cbY1yx6dcY96ALGsT6pawR3GmW0V35bZntmO15Ex/yzbOAw6gNwemR1rlYPjD4OvLiS0s7u8ub5R8lpDZSmWVu6KNvLDoc4HvjmrufFviX7oHhnTW7ttmvpF+nMcOQf8AbYe1ZPhj4Q+G/BXiGTxDa3F7LJFG/lrcOrLECMMeFBJxkfQnrQBqHTvEfivnV5X0PSW/5h9pLm6nXPSWZeEBx92PnkgtXTaZpdho1hFY6baQ2trEMJFEoUD39z6nqaj0vW9M1oTnTb6G6+zyeXMI2yY29GHY0weINJOrnSRfwnUBybbPzgeuPT3oA0qKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAp6npWn6zZNZ6nZQXls3JinjDrn1weh9653/hFdX0RQfC2uyRwqPl03VN1zb9MBVfPmxj/gTD/ZrrqKAOSPjSfScr4o0K80xFzm9twbu1IHGS6Dcmf9tF+tdFp2qWGr2outNvba8tycCW3lWRc+mQetW653UvA+gajdtfLZtY6g2f8ATdPka2myepLIRu/4FmgDoqK5L+yfGOlf8g3X7XVYAQBBrEGyQKP+m0QGT7lDSjxhqNiyprnhPVbXLEefYqL6EAdz5f7wfigoA6yisLS/GnhrWZFisNbspJ2O0W7SBJc+nlthh+VbtABRRRQAUUUUAY8urTWXiOKwvY41s7xcWVwuRmUAlon9yBuU9wGHUc1X/wBB+IUbdI9U08ofTzIHyPxKzN/3xWxqOnWuq2bWt3HviLKwwxUqykFWBHIIIBBHpWP4u/0aHStWHH9n6jE7n/pnJmF/wCylv+A0AdFRRRQAUUUUAFFFFABRRWXqviTQ9DH/ABNdXsbI43BZ51RiPZScn8KANSiuT/4TpL3aNB0HWdW3qWSZLY28B/7aTbB+K5pDD451bPmXWl6BA2CFt0N5cD1G5wsY/wC+WoA6meeG2gee4lSKGMbnkkYKqj1JPQVy8nj2xu5Hg8OWV54gnBK7rFB9nVgM/NO2Ix+BJ9qfD8P9FedbnVjda7cqxZZNWmM6rn+7HxGv4KK6dEWNFRFCooAVVGAB6CgDlP7J8V67k6vq6aNaN/y56Od0pHHDXDjIPX7ir9a2NF8N6P4eSRdLsIoGlOZZeXllOc5eRss3XuTWrRQAVDeXMdlZT3cufLgjaRseijJ/lU1c94p1RLWCCxNpqFx9pmiWQ2tjLMqxbwX3FFIAKgjHX5ulAHK21rJ4M+Imkzy4W38R2gtL1h0+3Rjcrk+rAsv1rt9OVZ9V1O9wM70tUcDqkYz+jvIPwrL+IGhTeIPB11DZZGo2xW8sWA+ZZ4zuXHucFf8AgVa2gQ3EOhWYu0CXciedcKOiyud7ge25jQBpUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBR1LRdK1lFTVNMs75V+6LmBZAPpuBxWAfh3o1vHs0m61bRvm3Y0/UJUTP/XNiyf8AjtdbRQByo0LxXaTbrPxj9oiAwsWp6bHLn6tEYjSJc+PrRZDPpvh/UQPui3vJbZj+DI4/8erq6KAOVi8S+I4wxvvA+oKB3s722mz+DOh/Sox49VX2z+FfFMPudMMg/wDIZauuooA5p/HejRRh54dZgz2l0S8GP/IWK4X4keNPDF94aubq0vbtb+GF4VU2M8YljkwrxksgA7MCTwyqfUH1+qmqW1reaXc299aC7tZEIkgKb/MHpjvQB534O+NWha9o4k1NLmxvYiI5I0t5Zw5wPmBjQ4yc8Hmuoh8f6Dcf8e/9qzf9ctGvG/lFTPAT+Fzo1xF4UsxaWkFy0c0ZiZG83apJO7k/KV55rU1/xHp3hq0iuNRkkAmlWGJIozI7uxwAFHPUj8x60AZEvj2BW2weG/FFx7rpMiD/AMf209vFOtTQb7HwRrLtnpdT20A/9Gk/pXS2832i3Sby5I9wzslXaw+oqWgDlP7Q8dXkB8jQNG0988G81J5Tj/djix/49Q2k+Nb1Yzc+KLCwx99NO0zJ/wC+pXf/ANBFdXRQByh8BWl08h1bW9f1RJPvRT6g0Uf/AHxDsX8MVqaV4V8P6Gyvpei2NpIox5sUCiQ/V8bj+JrXooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqnq1zJaaTdTw485YyIge8h4QfixA/GrlYGvXGom90+1tdEury1+0JLczxywqEVcsuA7hid4QnjpnntQBheD4YdF8Z+MdLVhHaw/Y7lC5xhTBsJJ+sVV9eR9a8e+ErOVTgzyam8ZHMUUK4iyOxZ3BP0A/hFbE3h28k+Ik+rjYNLm02KGdM/NLKkjsFx6YYZz16dCaraTaatcfErUdb1DRbq1tWsYrKykeWBtqgs8hYLISMttAwD05xQB2tFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9k=)", "solution": "Net als in Oplossing I schrijven we \\(\\alpha = \\frac{1}{2}\\angle BAC\\) en merken we op dat \\(\\angle ANP = \\angle ABP = 90^\\circ - \\alpha = \\angle ADE\\). Omdat ook \\(\\angle APN = 90^\\circ = \\angle AED\\) zien we dat \\(\\triangle ANP \\sim \\triangle ADE\\). Bovendien zijn ze gelijk georiënteerd. Uit de theorie van draaiver- menigvuldigingen volgt nu dat \\(\\triangle AND \\sim \\triangle APE\\) en dat \\(ND\\) en \\(PE\\) elkaar snijden in het tweede snijpunt van de omgeschreven cirkels van \\(\\triangle ANP\\) en \\(\\triangle ADE\\), oftewel in \\(K\\). Nu gaan we verder zoals in Oplossing I om te laten zien dat \\(MF\\) door \\(K\\) gaat. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing II."}} +{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Een groep van 4050 vrienden speelt een videospel-toernooi. Daarvoor staan er 2025 computers in een zaal gelabeld \\(a_1, \\dots, a_{2025}\\) en 2025 computers in een andere zaal gelabeld \\(b_1, \\dots, b_{2025}\\). De speler op computer \\(a_i\\) speelt altijd tegen de spelers \\(b_i\\), \\(b_{i+2}\\), \\(b_{i+3}\\) en \\(b_{i+4}\\) (in het bijzonder dus juist niet tegen \\(b_{i+1}\\)), waarbij we de computers cyclisch doornummeren. Na de eerste ronde kiezen alle spelers een computer binnen hun zaal voor de tweede ronde. Daarna merken ze op dat iedereen in de tweede ronde dezelfde tegenstanders heeft als in de eerste ronde. \n\nBewijs dat als er iemand dezelfde computer heeft gekozen in beide rondes, dan iedereen dezelfde computer heeft gekozen in beide rondes.", "solution": "Voor de tegenstandercomputers van \\(a_i\\) bekijken we tegen welke \\(a_j\\) zij spelen in de volgende tabel. \n\n
\\(b_i\\) :\\(a_{i-4}\\)\\(a_{i-3}\\)\\(a_{i-2}\\)\\(a_i\\)
\n\n
\\(b_{i+2}\\) :\\(a_{i-2}\\)\\(a_{i-1}\\)\\(a_i\\)\\(a_{i+2}\\)
\\(b_{i+3}\\) :\\(a_{i-1}\\)\\(a_i\\)\\(a_{i+1}\\)\\(a_{i+3}\\)
\\(b_{i+4}\\) :\\(a_i\\)\\(a_{i+1}\\)\\(a_{i+2}\\)\\(a_{i+4}\\)
\n\nMerk op dat de computers \\(a_{i-2}\\), \\(a_{i-1}\\), \\(a_{i+1}\\) en \\(a_{i+2}\\) elk twee gemeenschappelijk tegenstandercomputers hebben met \\(a_i\\). Verder hebben \\(a_{i-4}\\), \\(a_{i-3}\\), \\(a_{i+3}\\) en \\(a_{i+4}\\) elk één gemeenschappelijke tegenstandercomputer met \\(a_i\\). Alleen voor de eerste twee, \\(a_{i-4}\\) en \\(a_{i-3}\\), is de gemeenschappelijk tegenstander met \\(a_i\\) hetzelfde, namelijk \\(b_i\\). \n\n![md5:dde99b8c979647cdd00d1a74a6b7b034](dde99b8c979647cdd00d1a74a6b7b034.jpeg)\n\n \n\nStel nu dat er een speler is blijven zitten, zeg de speler op \\(a_{2025}\\). We gaan nu met inductie bewijzen dat alle spelers op \\(a_i\\) en \\(b_i\\) zijn blijven zitten. \n\nStel per inductiehypothese dat de speler op een zekere computer \\(a_i\\) in beide rondes hetzelfde is. Aangezien iedereen dezelfde tegenstanders heeft in beide rondes, hebben de spelers die op \\(a_{i-4}\\) en \\(a_{i-3}\\) zaten wederom elk één dezelfde gemeenschappelijke speler met\n\n\n\n\\(a_i\\), namelijk de speler die op \\(b_i\\) zat. Dat betekent dat de speler op \\(b_i\\) ook is blijven zitten. Nu merken we op dat alleen de speler die op \\(a_{i-2}\\) zat naast \\(b_i\\) nog een tweede gemeenschappelijke tegenstander met \\(a_i\\) heeft. Dus ook op \\(a_{i-2}\\) is dezelfde speler blijven zitten. \n\nOmdat 2025 oneven is, volgt nu met inductie eenvoudig dat iedereen op dezelfde computer is blijven zitten, als er één iemand is blijven zitten. □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing I."}} +{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Een groep van 4050 vrienden speelt een videospel-toernooi. Daarvoor staan er 2025 computers in een zaal gelabeld \\(a_1, \\dots, a_{2025}\\) en 2025 computers in een andere zaal gelabeld \\(b_1, \\dots, b_{2025}\\). De speler op computer \\(a_i\\) speelt altijd tegen de spelers \\(b_i\\), \\(b_{i+2}\\), \\(b_{i+3}\\) en \\(b_{i+4}\\) (in het bijzonder dus juist niet tegen \\(b_{i+1}\\)), waarbij we de computers cyclisch doornummeren. Na de eerste ronde kiezen alle spelers een computer binnen hun zaal voor de tweede ronde. Daarna merken ze op dat iedereen in de tweede ronde dezelfde tegenstanders heeft als in de eerste ronde. \n\nBewijs dat als er iemand dezelfde computer heeft gekozen in beide rondes, dan iedereen dezelfde computer heeft gekozen in beide rondes.", "solution": "We noemen twee computers *superconnected* als ze twee tegenstandercomputers gemeen hebben. We merken op dat de enige computers superconnected met \\(a_i\\) de computers \\(a_{i-2}\\), \\(a_{i-1}\\), \\(a_{i+1}\\) en \\(a_{i+2}\\) zijn. Nu gaan we kijken naar drietallen die superconnected zijn. \n\n- Er zijn twee computers superconnected met zowel \\(a_i\\) als \\(a_{i+1}\\), namelijk de computers \\(a_{i-1}\\) en \\(a_{i+2}\\). \n\n- Er is één computer superconnected met zowel \\(a_i\\) als \\(a_{i+2}\\), namelijk de computer \\(a_{i+1}\\). \n\n![md5:e393dc4237dcd02ab227f4d58e23e4fb](e393dc4237dcd02ab227f4d58e23e4fb.jpeg)\n\n \n\nDus als een computer zelf superconnected is met \\(a_i\\) en twee gemeenschappelijke superconnected computers met \\(a_i\\) heeft, dan is deze computer \\(a_{i-1}\\) of \\(a_{i+1}\\). \n\nAangezien iedereen dezelfde tegenstanders heeft in beide rondes, geldt dat als twee vrienden in de eerste ronde op superconnected computers speelden, ze in de tweede ronde ook op superconnected computers spelen. Uit het bovenstaande volgt dan dat, als twee vrienden in de eerste ronde naast elkaar zaten, ze dat in de tweede ronde ook doen. \n\nStel nu dat de speler op \\(a_1\\) beide rondes hetzelfde is. We nemen verder uit het ongerijmde aan dat de speler die de eerste ronde op \\(a_2\\) zat, in de tweede ronde op \\(a_{2025}\\) zat. Dan moeten inductief de spelers op \\(a_3\\), \\(a_4\\) en \\(a_5\\) verhuisd zijn naar \\(a_{2024}\\), \\(a_{2023}\\) en \\(a_{2022}\\). Dus de speler die in de eerste ronde op \\(b_5\\) zat (en tegen \\(a_1\\), \\(a_2\\), \\(a_3\\), \\(a_5\\) speelde), moet in de tweede ronde tegen de spelers op computers \\(a_{2022}\\), \\(a_{2024}\\), \\(a_{2025}\\), \\(a_1\\). Maar er is geen computer met die tegenstanders. We concluderen dus dat de speler op \\(a_2\\) wel moet zijn blijven zitten. Dit laat inductief zien dat iedereen in die zaal op dezelfde computer is blijven zitten. \n\nAangezien de spelers in de tweede zaal dezelfde tegenstanders hebben in beide rondes, weten we nu dat ze ook tegen dezelfde computers spelen. Dit legt de computers in de tweede zaal vast, dus iedereen in de tweede zaal heeft ook voor dezelfde computer gekozen in beide rondes. □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing II."}} +{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Gegeven is \\(\\triangle ABC\\) met omgeschreven cirkel \\(\\Gamma\\). Zij \\(M\\) het midden van de boog \\(BC\\) van \\(\\Gamma\\) waar \\(A\\) niet op ligt. Het punt \\(N\\) op \\(\\Gamma\\) is de antipode van \\(A\\). De lijn door \\(B\\) loodrecht op \\(AM\\) snijdt \\(AM\\) in het punt \\(D\\) en snijdt \\(\\Gamma\\) een tweede keer in het punt \\(P \\neq B\\). De lijn door \\(D\\) loodrecht op \\(AC\\) snijdt \\(AC\\) in het punt \\(E\\) en snijdt \\(BC\\) in het punt \\(F\\). \n\nBewijs dat \\(ND\\), \\(MF\\) en \\(PE\\) concurrent zijn. \n\n![md5:7f753898ca75fab1bce57c1aff8e8095](7f753898ca75fab1bce57c1aff8e8095.jpeg)", "solution": "We noteren de helft van de hoek bij \\(A\\) als \\(\\alpha = \\frac{1}{2} \\angle BAC = \\angle BAM = \\angle MAC\\), want \\(M\\) is het midden van boog \\(BC\\). Dan merken we op dat \\(\\angle ABP = \\angle ABD = 90^\\circ - \\angle DAB = 90^\\circ - \\alpha\\) en dat \\(\\angle EDA = 90^\\circ - \\angle DAE = 90^\\circ - \\alpha\\). Ook rekenen we uit dat, wegens de gestrekte hoek \\(\\angle ADM\\), geldt dat \\(\\angle PDE = 180^\\circ - \\angle EDA - \\angle MDP = 180^\\circ - (90^\\circ - \\alpha) - 90^\\circ = \\alpha\\). \n\nNu definiëren we \\(K\\) als het tweede snijpunt van de omgeschreven cirkel van \\(\\triangle ADE\\) met \\(\\Gamma\\) (naast \\(A\\)). Dan merken we op dat \\(\\angle AKE = \\angle ADE = 90^\\circ - \\alpha = \\angle ABP = \\angle AKP\\), dus \\(K\\), \\(E\\) en \\(P\\) zijn collinear. Evenzo geldt dat \\(\\angle AKD = 180^\\circ - \\angle AED = 90^\\circ = \\angle AKN\\), wegens Thales omdat \\(A\\) en \\(N\\) antipoden zijn. Dus \\(K\\), \\(D\\) en \\(N\\) zijn collinear. \n\nVoor de laatste lijn claimen we dat \\(BFDK\\) ook een koordenvierhoek is. Inderdaad, \\(\\angle KBF = \\angle KBC = 180^\\circ - \\angle KAC = 180^\\circ - \\angle KAE = \\angle KDE = 180^\\circ - \\angle KDF\\).\n\n\n\n(Merk op dat dit in feite de stelling van Miquel is in \\(\\triangle CEF\\) en koordenvierhoeken \\(AKBC\\) en \\(DEAK\\).) Uit de omtrekhoekstelling in de koordenvierhoek \\(BFDK\\) volgt dat \\(\\angle BKF = \\angle BDF = \\angle PDE = \\alpha = \\angle BAM = \\angle BKM\\), dus \\(K\\), \\(F\\) en \\(M\\) zijn collinear. We concluderen dat \\(ND\\), \\(MF\\) en \\(PE\\) concurrent zijn in het punt \\(K\\). \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing I."}} +{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Gegeven is \\(\\triangle ABC\\) met omgeschreven cirkel \\(\\Gamma\\). Zij \\(M\\) het midden van de boog \\(BC\\) van \\(\\Gamma\\) waar \\(A\\) niet op ligt. Het punt \\(N\\) op \\(\\Gamma\\) is de antipode van \\(A\\). De lijn door \\(B\\) loodrecht op \\(AM\\) snijdt \\(AM\\) in het punt \\(D\\) en snijdt \\(\\Gamma\\) een tweede keer in het punt \\(P \\neq B\\). De lijn door \\(D\\) loodrecht op \\(AC\\) snijdt \\(AC\\) in het punt \\(E\\) en snijdt \\(BC\\) in het punt \\(F\\). \n\nBewijs dat \\(ND\\), \\(MF\\) en \\(PE\\) concurrent zijn. \n\n![md5:7f753898ca75fab1bce57c1aff8e8095](7f753898ca75fab1bce57c1aff8e8095.jpeg)", "solution": "Net als in Oplossing I schrijven we \\(\\alpha = \\frac{1}{2}\\angle BAC\\) en merken we op dat \\(\\angle ANP = \\angle ABP = 90^\\circ - \\alpha = \\angle ADE\\). Omdat ook \\(\\angle APN = 90^\\circ = \\angle AED\\) zien we dat \\(\\triangle ANP \\sim \\triangle ADE\\). Bovendien zijn ze gelijk georiënteerd. Uit de theorie van draaiver- menigvuldigingen volgt nu dat \\(\\triangle AND \\sim \\triangle APE\\) en dat \\(ND\\) en \\(PE\\) elkaar snijden in het tweede snijpunt van de omgeschreven cirkels van \\(\\triangle ANP\\) en \\(\\triangle ADE\\), oftewel in \\(K\\). Nu gaan we verder zoals in Oplossing I om te laten zien dat \\(MF\\) door \\(K\\) gaat. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "Dutch_TST", "problem": "Bepaal alle natuurlijke getallen \\(n\\) waarvoor geldt dat alle priemfactoren van \\(2^n - 1\\) hoogstens 7 zijn.", "solution": "We merken op dat \\(2 \\nmid 2^n - 1\\) voor alle \\(n > 1\\), dus we zijn op zoek naar alle \\(n\\) zodanig dat 3, 5 en 7 de enige delers zijn, oftewel \\(2^n - 1 = 3^a 5^b 7^c\\). De antwoorden zijn \\(n = 1, 2, 3, 4, 6\\), die we gemakkelijk controleren met uitkomsten 1, 3, 7, 3 · 5, 3² · 7. \n\nWe rekenen uit dat \\(2^2 \\equiv 1 \\mod 3\\), \\(2^4 \\equiv 1 \\mod 5\\) en \\(2^3 \\equiv 1 \\mod 7\\), én dat dit de kleinste positieve exponenten zijn waarvoor \\(2^n\\) congruent is aan 1. Dat betekent dat \\(3 \\mid 2^n - 1\\) dan en slechts dan als \\(2 \\mid n\\), dat \\(5 \\mid 2^n - 1\\) dan en slechts dan als \\(4 \\mid n\\) en dat \\(7 \\mid 2^n - 1\\) dan en slechts dan als \\(3 \\mid n\\). \n\nAls \\(n\\) oneven is dan volgt uit het bovenstaande dat \\(2^n - 1\\) geen factoren 3 of 5 heeft. We onderscheiden twee gevallen. Als \\(3 \\nmid n\\) en \\(n > 1\\), geldt dat ook 7 geen deler is, terwijl \\(2^n - 1 > 1\\). Dus \\(2^n - 1\\) moet wel een grotere priemdeler dan 7 hebben, en deze \\(n\\) voldoen niet. De andere optie voor oneven \\(n\\) is dat \\(3 \\mid n\\). Om aan de voorwaarde te voldoen moet dan gelden dat \\(2^n - 1 = 7^c\\). Als \\(n \\ge 4\\) vinden we dus de relatie \\(7^c \\equiv -1 \\mod 16\\). Dat is echter in tegenspraak met het feit dat \\(7^c \\equiv 7, 1 \\mod 16\\), want \\(7^2 = 49 = 3 \\cdot 16 + 1\\). Dan is de enige mogelijkheid dus \\(n = 3\\). \n\nWe geven nu voor even \\(n \\ge 8\\) een bewijs dat \\(2^n - 1\\) een priemfactor heeft groter dan 7 met volledige inductie naar \\(n\\). Als inductiebasis rekenen we uit dat \n\n\\[ \n\\begin{align*} \n2^8 - 1 &= 3 \\cdot 5 \\cdot 17, \\\\\n2^{10} - 1 &= 3 \\cdot 11 \\cdot 31, \\\\\n2^{12} - 1 &= 3^2 \\cdot 5 \\cdot 7 \\cdot 13. \n\\end{align*} \n\\]\n\nStel nu dat \\(n = 2m\\) met \\(m \\ge 7\\), en stel dat voor alle even \\(k\\) met \\(8 \\le k < n\\) geldt dat \\(2^k - 1\\) een priemfactor groter dan 7 heeft. Beschouw de ontbinding \\(2^n - 1 = 2^{2m} - 1 = (2^m - 1)(2^m + 1)\\). Als \\(m\\) oneven is, dan heeft de eerst factor een priemfactor groter dan 7 aangezien \\(m \\ge 7 > 3\\). Als \\(m\\) even is, dan geldt hetzelfde op basis van de inductiehypothese aangezien nu geldt dat \\(8 \\le m < 2m = n\\). Dit voltooit de inductie. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 5.", "solution_match": "\nOplossing I."}} {"year": "2025", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "Dutch_TST", "problem": "Bepaal alle natuurlijke getallen \\(n\\) waarvoor geldt dat alle priemfactoren van \\(2^n - 1\\) hoogstens 7 zijn.", "solution": "Het bewijs dat \\(2^n - 1\\) een priemfactor groter dan 7 heeft voor oneven \\(n > 3\\) gaat hetzelfde als hierboven. We geven een alternatief bewijs dat de enige even \\(n\\) die voldoen 2, 4 en 6 zijn door drie gevallen te onderscheiden. \n\nStel dat \\(4 \\mid n\\). Dan schrijven we \\(n = 4k\\) en ontbinden we \\(2^n - 1\\) als \\(2^n - 1 = (2^{2k})^2 - 1 = (4^k - 1)(4^k + 1)\\). Merk op dat \\(3 \\nmid 4^k + 1\\) want \\(4^k + 1 \\equiv 2 \\mod 3\\) voor alle \\(k\\), en merk op dat \\(7 \\nmid 4^k + 1\\) want de restklasses van \\(4^k\\) modulo 7 zijn 1, 4 en 2. Aangezien \\(2^n - 1\\)\n\n\n\ngeen priemfactor mag hebben groter dan 7, moet nu gelden dat \\(4^k + 1 = 5^d\\), met \\(d > 0\\) want \\(k > 0\\). Als \\(k \\ge 2\\), dan krijgen we dus dat 16 een deler is van \\(5^d - 1\\). Hieruit volgt dan weer dat \\(b\\) een viervoud is, dus we schrijven \\(b = 4d'\\), met \\(d' > 0\\). In dat geval vinden we dus dat \\(2^{2k} = 4^k = 5^{4d'} - 1 = (5^{2d'} - 1)(5^{2d'} + 1) = (25^{d'} - 1)(25^{d'} + 1)\\). Aangezien \\(\\text{ggd}(25^{d'} - 1, 25^{d'} + 1) = 2\\) betekent dit dan minstens één van de termen \\((25^{d'} - 1\\) of \\(25^{d'} + 1)\\) kleiner of gelijk is aan 2. Dat is een tegenspraak met \\(d' > 0\\). Dus de enige mogelijkheid in dit geval is \\(k = 1\\), oftewel \\(n = 4\\). \n\nStel dat 6 | \\(n\\), maar 4 \\(\\nmid\\) \\(n\\). Dan schrijven we \\(n = 6k\\) met \\(k\\) oneven, en ontbinden we \\(2^n - 1 = (2^{3k})^2 - 1 = (8^k - 1)(8^k + 1)\\). Merk op dat \\(5 \\nmid 8^k + 1\\) want \\(8^k \\equiv 3, -3 \\mod 5\\) voor oneven \\(k\\), en merk op dat \\(7 \\nmid 8^k + 1\\) want \\(8^k + 1 \\equiv 2 \\mod 7\\). Nu moet dus gelden dat \\(8^k + 1 = 3^a\\). Aangezien nu \\(8 \\mid 3^a - 1\\), is \\(a\\) even wat we schrijven als \\(a = 2a'\\), met \\(a' > 0\\). Dan krijgen we \\(8^k = (3^{a'} - 1)(3^{a'} + 1)\\). Omdat \\(\\text{ggd}(3^{a'} - 1, 3^{a'} + 1) = 2\\) volgt hieruit dat één van de termen \\((3^{a'} - 1\\) of \\(3^{a'} + 1)\\) kleiner of gelijk is aan 2. Dat kan alleen als \\(a' = 1\\), oftewel \\(a = 2\\), \\(k = 1\\) en \\(n = 6\\). \n\nHet laatste geval is dat 2 | \\(n\\), maar 4 \\(\\nmid\\) \\(n\\) en 3 \\(\\nmid\\) \\(n\\). Dan schrijven we \\(n = 2k\\) en vinden we meteen dat \\(3^a = 2^n - 1 = (2^k - 1)(2^k + 1)\\). Omdat \\(\\text{ggd}(2^k - 1, 2^k + 1) = 1 < 3\\), is de enige mogelijkheid dat \\(2^k - 1 = 1\\). Oftewel \\(k = 1\\) en \\(n = 2\\). \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-B2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 5.", "solution_match": "\nOplossing II."}} diff --git a/Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl b/Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl index 794484759c3eff1fce61cc09564833afc0499eea..d6b50873ff8cd76586e26905ad96b4e77bc61351 100644 --- a/Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl +++ b/Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl @@ -1,9 +1,9 @@ {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Beschouw de rij \\(y_0, y_1, \\ldots\\) met \\(y_0 = -\\frac{1}{4}\\) en \\(y_1 = 0\\) en die verder voldoet aan \n\n\\[y_{n+1} + y_{n-1} = 4y_n + 1\\]\n\nvoor alle \\(n \\ge 1\\). Bewijs dat voor alle \\(n \\ge 0\\) de uitdrukking \\(2y_{2n} + \\frac{3}{2}\\) \n\na) een positief geheel getal is en \n\nb) het kwadraat van een geheel getal is.", "solution": "We maken de substitutie \\(x_n = 4y_n + 2\\). Dan wordt de vergelijking homogeen: \n\n\\[x_{n+1} + x_{n-1} = 4y_{n+1} + 2 + 4y_{n-1} + 2 = 4(4y_n + 1) + 4 = 16y_n + 8 = 4x_n,\\]\n\nmet beginvoorwaarden \\(x_0 = 4(-\\frac{1}{4}) + 2 = 1\\) en \\(x_1 = 4 \\cdot 0 + 2 = 2\\). Alle getallen in de rij \\((x_i)\\) zijn dus geheel en we zien dat \\(x_{n+1}\\) en \\(x_{n-1}\\) altijd dezelfde pariteit hebben. In het bijzonder is \\(x_{2n}\\) altijd oneven. Dus \\(2y_{2n} + \\frac{3}{2} = \\frac{4y_{2n}+3}{2} = \\frac{x_{2n}+1}{2}\\) is altijd geheel. Om te laten zien dat ze ook positief zijn, bewijzen we met inductie dat \\(x_n\\) een stijgende rij positieve getallen is. Dit geldt inderdaad voor \\(x_1 > x_0 > 0\\). Stel nu als inductiehypothese dat \\(x_n > x_{n-1} > 0\\). Dan vinden we ook dat \\(x_{n+1} - x_n = 3x_n - x_{n-1} > x_n - x_{n-1} > 0\\). Hiermee concluderen we het bewijs van onderdeel (a). \n\nVoor onderdeel (b) merken we op dat de karakteristieke vergelijking voor het homogene deel \\(y_{n+1} + y_{n-1} = 4y_n\\) wordt gegeven door \\(x^2 + 1 = 4x\\). Hiervan zijn de oplossingen \\(x = 2 - \\sqrt{3}\\) en \\(x = 2 + \\sqrt{3}\\). Nu kiezen we een oplossing voor de inhomogene vergelijking, zeg \\(y_n = -\\frac{1}{2}\\). Dan is de algemene oplossing dus \n\n\\[y_n = A(2 - \\sqrt{3})^n + B(2 + \\sqrt{3})^n - \\frac{1}{2}.\\]\n\nAls we dit oplossen met behulp van \\(n = 0\\) en \\(n = 1\\), dan vinden we \\(-\\frac{1}{4} = A + B - \\frac{1}{2}\\) en \\(0 = A(2 - \\sqrt{3}) + B(2 + \\sqrt{3}) - \\frac{1}{2} = 2(A + B) + \\sqrt{3}(B - A) - \\frac{1}{2}\\). Dat betekent dat \\(A + B = \\frac{1}{4}\\) en \\(B - A = 0\\), oftewel \\(A = B = \\frac{1}{8}\\). Dus \n\n\\[y_n = \\frac{1}{8}(2 - \\sqrt{3})^n + \\frac{1}{8}(2 + \\sqrt{3})^n - \\frac{1}{2}.\\]\n\n\n\nAangezien \\((2 - \\sqrt{3})(2 + \\sqrt{3}) = 4 - 3 = 1\\) controleren we eenvoudig dat \n\n\\[ \n\\begin{align*} \n(4y_n + 2)^2 &= \\left(\\frac{1}{2}(2 - \\sqrt{3})^n + \\frac{1}{2}(2 + \\sqrt{3})^n\\right)^2 \\\\ \n&= \\frac{1}{4}(2 - \\sqrt{3})^{2n} + \\frac{1}{4}(2 + \\sqrt{3})^{2n} + \\frac{1}{2}(2 - \\sqrt{3})^n(2 + \\sqrt{3})^n \\\\ \n&= \\frac{1}{4}(2 - \\sqrt{3})^{2n} + \\frac{1}{4}(2 + \\sqrt{3})^{2n} + \\frac{1}{2} \\\\ \n&= 2y_{2n} + \\frac{3}{2}. \n\\end{align*} \n\\]\n\nDit bewijst onderdeel (b), omdat \\(4y_n + 2 = x_n\\) geheel is. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing I."}} {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Beschouw de rij \\(y_0, y_1, \\ldots\\) met \\(y_0 = -\\frac{1}{4}\\) en \\(y_1 = 0\\) en die verder voldoet aan \n\n\\[y_{n+1} + y_{n-1} = 4y_n + 1\\]\n\nvoor alle \\(n \\ge 1\\). Bewijs dat voor alle \\(n \\ge 0\\) de uitdrukking \\(2y_{2n} + \\frac{3}{2}\\) \n\na) een positief geheel getal is en \n\nb) het kwadraat van een geheel getal is.", "solution": "Voor een alternatieve aanpak van onderdeel (b) rekenen we uit dat \n\n\\[ x_{n+1}^2 - x_{n-1}^2 = (x_{n+1} + x_{n-1})(x_{n+1} - x_{n-1}) = 4x_n(x_{n+1} - x_{n-1}). \\]\n\nDit betekent dat \\(x_{n+1}^2 - 4x_{n+1}x_n + x_n^2 = x_n^2 - 4x_nx_{n-1} + x_{n-1}^2\\). Met inductie naar \\(n\\) betekent dit dat \\(x_{n+1}^2 - 4x_{n+1}x_n + x_n^2 = -3\\), want voor \\(n = 0\\) rekenen we uit dat \\(2^2 - 4 \\cdot 2 \\cdot 1 + 1^2 = -3\\). \n\nNu bewijzen we met inductie dat \\(x_{2n} = 2x_n^2 - 1\\) voor \\(n \\ge 0\\). Voor \\(n = 0\\) is dit waar want \\(1 = 2 \\cdot 1^2 - 1\\). Ook voor \\(n = 1\\) rekenen we uit dat \\(x_2 = 4x_1 - x_0 = 7 = 2x_1^2 - 1\\). Omdat we inductie gaan doen op oneven getallen merken we alvast op dat \\(16x_n = 4x_{n-1} + 4x_{n+1} = x_{n-2} + 2x_n + x_{n+2}\\), dus \\(14x_n = x_{n-2} + x_{n+2}\\). Stel nu dat de bewering waar is voor \\(n = k\\) en \\(n = k-1\\). Dan rekenen we met behulp van het voorgaande uit dat \n\n\\[ \n\\begin{align*} \nx_{2k+2} &= 14x_{2k} - x_{2k-2} \\\\ \n&\\overset{\\text{(IH)}}{=} 14(2x_k^2 - 1) - (2x_{k-1}^2 - 1) \\\\ \n&= 2(14x_k^2 - x_{k-1}^2 - 6) - 1 \\\\ \n&= 2(14x_k^2 - (4x_k - x_{k+1})^2 - 6) - 1 \\\\ \n&= 2(-2x_k^2 + 8x_kx_{k+1} - x_{k+1}^2 - 6) - 1 \\\\ \n&= 2x_{k+1}^2 - 1. \n\\end{align*} \n\\]\n\nNu hebben we dus met inductie laten zien dat \\(x_{2n} = 2x_n^2 - 1\\), oftewel \n\n\\[ 2y_{2n} + \\frac{3}{2} = \\frac{x_{2n} + 1}{2} = x_n^2. \\]", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Beschouw de rij \\(y_0, y_1, \\ldots\\) met \\(y_0 = -\\frac{1}{4}\\) en \\(y_1 = 0\\) en die verder voldoet aan \n\n\\[y_{n+1} + y_{n-1} = 4y_n + 1\\]\n\nvoor alle \\(n \\ge 1\\). Bewijs dat voor alle \\(n \\ge 0\\) de uitdrukking \\(2y_{2n} + \\frac{3}{2}\\) \n\na) een positief geheel getal is en \n\nb) het kwadraat van een geheel getal is.", "solution": "Als alternatief voor onderdeel (b) claimen we met inductie naar \\(m\\) dat \n\n\\[ x_{n-m} + x_{n+m} = 2x_m x_n, \\]\n\n\n\nvoor alle getallen \\(m\\) en \\(n\\) met \\(0 \\le m \\le n\\). Voor \\(m = 0\\) en \\(m = 1\\), voldoen de vergelijkingen \\(x_n + x_n = 2x_n\\) en \\(x_{n-1} + x_{n+1} = 4x_n\\) inderdaad. Stel nu dat de bewering waar is voor \\(m = k\\) en \\(m = k-1\\). Dan vinden we voor \\(m = k+1\\) dat \n\n\\[ \n\\begin{align*} \nx_{n-k-1} + x_{n+k+1} &= (4x_{n-k} - x_{n-k+1}) + (4x_{n+k} - x_{n+k-1}) \\\\ \n&= 4(x_{n-k} + x_{n+k}) - (x_{n-k+1} + x_{n+k-1}) \\\\ \n&\\overset{\\text{(IH)}}{=} 8x_k x_n - 2x_{k-1} x_n \\\\ \n&= 2(4x_k - x_{k-1}) x_n \\\\ \n&= 2x_{k+1} x_n. \n\\end{align*} \n\\]\n\nHiermee is de inductie voltooid. Als we nu \\(m = n\\) invullen, dan vinden we \\(1 + x_{2n} = 2x_n^2\\).\nDus we concluderen dat \\(2y_{2n} + \\frac{3}{2} = \\frac{x_{2n+1}}{2} = x_n^2\\). \\(\\square\\) \n\nOpmerking. Voor de oneven indices geldt \\(x_{2n+1} = 3\\left(\\frac{x_{n+1}+x_n}{3}\\right)^2 - 1\\).", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing III."}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Beschouw een rechthoekig bord van \\(m \\times n\\) vakjes met \\(m, n \\ge 1\\). De hoekpunten van de vakjes vormen een \\((m+1) \\times (n+1)\\)-grid. We noemen een driehoek met hoekpunten punten van het grid *laag* als die minstens één zijde heeft die parallel is met een zijde van het bord zo dat de hoogte van de driehoek op die zijde 1 is. We noemen een lage driehoek *bijzonder* als die twee zijden heeft die parallel zijn met een zijde van het bord. We partitioneren het bord in lage driehoeken. \n\nBepaal het minimale aantal bijzondere driehoeken over alle mogelijke partitioneringen van het \\(m \\times n\\)-bord.", "solution": "Als \\(m, n \\ge 2\\) en minstens één van de twee is even, dan is het antwoord 0. Anders (minstens één van de twee is 1, of ze zijn beide oneven) is het antwoord 2. \n\nWe tekenen eerst een voorbeeld voor \\(n = 1\\) en \\(m \\ge 1\\) met twee bijzondere driehoeken, een voorbeeld voor \\(n = 2\\) en \\(m \\ge 3\\) met nul bijzondere driehoeken, en het speciale geval \\(n = 2\\), \\(m = 2\\) met wederom nul bijzondere driehoeken. \n\n![](data:image/jpeg;base64,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)\n\n \n\nAls \\(m = 1\\) of \\(n = 1\\), dan is er dus een partitionering met twee bijzondere driehoeken. Stel nu dat \\(m, n \\ge 2\\). \n\nAls minstens één van \\(m\\) en \\(n\\) even is, kunnen we de rechthoek opknippen in stroken van breedte 2, dus dan kunnen we een partitionering maken met nul bijzondere driehoeken. Als ze beide oneven zijn, dan knippen we de rechthoek op in stroken van breedte 2 plus één strook van breedte 1. Zo maken we een partitionering met twee bijzondere driehoeken. Nu moeten we nog laten zien dat deze bovengrens het beste is wat we kunnen doen. \n\nVoor elke partitionering maken we nu het volgende plaatje. We zetten een rood punt in het midden van elke schuine zijde van elke driehoek, en als er twee schuine zijden zijn dan verbinden we de twee rode punten met een rode lijn. Merk op dat elke driehoek hoogstens twee schuine zijden heeft, en alleen bijzondere driehoeken hebben er maar één.\n\n\n![](data:image/jpeg;base64,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)\n\nIn elk rood punt komen nu hoogstens twee rode lijnen samen. Dus deze rode lijnen vormen gesloten cykels of open paden, en de bijzondere driehoeken zijn precies de eindes van de de open paden. Zo hebben we hierboven een open pad van lengte nul, en een gesloten cykel gevormd door 6 rode segmenten. Een rood pad kan alleen van richting veranderen op een schuine zijde die in beide richtingen “hoogte” 1 heeft (oftewel die hoort bij twee driehoeken die in verschillende richtingen hoogte 1 hebben). Zo’n schuine zijde moet dus precies de diagonaal zijn van een vakje. In het bijzonder verandert een rood pad alleen van richting in het midden van vakjes. (Alternatief kun je zeggen dat de rode zijden nooit over de roosterlijnen lopen, want de hoogte van elke driehoek is 1 en de rode lijnen lopen op halve hoogte. Dus je kan nooit van richting veranderen op de roosterlijnen.) \n\nNu hebben we dus open en gesloten paden van orthogonale rode lijnen die alleen van richt- ing veranderen in het midden van de vakjes. Als we de vakjes in een schaakbordpatroon kleuren, dan zijn de vakjes waardoor het pad loopt om-en-om zwart en wit. Een gesloten cykel gaat dus altijd door een even aantal vakjes. Als het bord een oneven aantal vak- jes heeft, dan is er dus minstens één open pad. En dit open pad heeft twee bijzondere driehoeken aan de uiteindes. □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing."}} -{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek zo dat \\(|AB| + |BC| = 4|AC|\\) en \\(|AB| < |BC|\\). Zij \\(D\\) het snijpunt van de bissectrice van \\(\\angle ABC\\) met de zijde \\(AC\\). Punten \\(P\\) en \\(Q\\) liggen op het lijnstuk \\(BD\\) zo dat \\(|BP| = 2|DQ|\\). Zij \\(\\ell\\) de lijn door \\(P\\) parallel aan \\(AC\\). De lijn door \\(Q\\) loodrecht op \\(BD\\) snijdt de lijnstukken \\(AB\\) en \\(BC\\) in respectievelijk \\(X\\) en \\(Y\\). Stel dat \\(X\\) en \\(Y\\) aan de andere kant liggen van \\(\\ell\\) dan \\(B\\). \n\nEen mier begint zijn reis in \\(X\\) en gaat vanaf daar naar een punt op \\(AC\\), dan een punt op \\(\\ell\\), dan weer terug naar een (eventueel ander) punt op \\(AC\\) en uiteindelijk naar \\(Y\\). Bewijs dat de lengte van de kortst mogelijke route van de mier gelijk is aan \\(4|XY|\\). \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADpAxwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorh/Hut654am0u/tr23j0ee9jtr1pLbe1ur8CQHcOM9c+orZ1ifV7vUbey0G8t4GifdfSzQeaqIRkKPmHzng47A5P8IIBv0UyFZEhRZZPMkCgM+3buPrjtT6ACiiigAooooAKKKKACiiuVl8XEfEWz8MxQAwS2s0j3B7yptOxfoCc+5A7GgDqqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiis3VNf0nRGiGp30VqZSFj8w43E9APf2oA0qKyo/Euiy3MVuNSgWaZtsSSNsMjeihsZPsK1aACiiigAooooAKKKKACiiigAooooAKKKKACqtxBcSX1pLFevDDEXMsARSJwVwASRkYPPH41arNvhpn9s6UbuAvfBpfscnlM2w7Dv+YDC5XI5xnoOaANKiiigAooooAKKKKACiiigAooooAKKKKACiiobuCS5tXiiuprV26TQhC6/TerL+YNAGF4sso/Emk3vhhFR3vIdszsMrbqfuuf9rIyo9RnoDWd8LtTa+8GR2lygj1LTZpLK/TOT5yHliepLDDE9yTXQaDoi6DYyWwvry+aSZpnnvGRpGZuuSqrkemRwMDoABnaT4Nh0bxHqOtW+r6k82our3UEnk+U5UYXgRgjA7ggnvmgDpaK53xd410bwVpYvtVlc7nEccEADyyMQTgDI9DycCq+m/EjwhqemwXqa9YwCYEiC4nWOZSDggoTkHigLHVUVz/8Awm2gt/qrqe4/69rOab/0BDR/wlsD/wDHvpGuzf8AcMli/wDRgWgDoKK5/wD4SHU5P9R4R1hv9qSS2jH6zZ/Sj+0/E8n+q8N2qf8AXzqYT/0CN6AOgorkdZHju60S+jsYdGtLt4HEJjuZJWD7TjaSiAHPQnjNcp8ELfxlHZ6vL4mubmW1aby7cXU/muJUd1lwcnA3DHuRke4B6Preoyadp5a3iaW7lbyreNV3Eue+O4UAsfYHvXA6nJHa/EbwAYrW8hjRr23kkuY9plZ4t2Se5LAk+5NdtaaVqqeI5tSvtUtri2MJht7aOzMZhBbJO8yNknAzxztGMc5o+J/C9/r+q6PeW+q21mul3Iuo0ezaVnfBBBYSL8pB6Yz70AdRRSIGCKHILY5IGAT9KWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCreQTzyWpgvXthHMHkVUVvOXBBQ5HA5ByOeKtVm6qNNM2m/2hCZH+1r9kPlM+yba2DwPl43cnjmtKgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuD8azpd+NvB+jusjwxXEmqTrFG0hUQriM4UE43uPyru2YIjMc4AycAk/kOtee6ZqAm+Jet63d6fq8VtFZwWFi7aXc/vFyZJCB5f94qPfFADvG0g8ZJB4RsRJbS3E0c8t1dRtAY443DsYVcBpH4AyowMnJHf0GuF1C0vfF3jHQrqCzubPSdGme5e5uYjC9xIV2hERsOF5O4sAD0Ga7qgAooooAKKKKACiiigAopCQoJJAA7mqFxr2j2eftOrWMGOvm3CL/M0AaFFc+fHPhbJEev6fMR2gnWU/kuaP+Ez0hv9Smp3H/XDSrmQfmI8frQB0FFc/wD8JSz/APHv4e12b/t1WL/0Yy0f25rcn+p8JXyf9fN3bJ/6BI9AHQVWnlvEvbRILaOS2ct9olaXa0QC5UhcfNk8dRjrzWR9t8WSf6vQtKiHrNqjkj8FgI/Wq09t40uby1lXUtHsUjLFoFhedZsjADZKnjqNpHvkUAdTRXP/ANm+KJP9b4jtE/69tM2/+hyPR/wj2pyf6/xdq5H92KK1Qf8Aokn9aAOgorn/APhEoH/4+NY12b/uJSRf+iytH/CE6C3+ttri4/6+b2ebP/fbmgDdlmigXdNKka+rsAKy7jxX4dtM/adf0uHH/PS8jX+ZqGLwV4WhbenhzSd/982cZb8yM1qW+nWVpj7NZ28OP+ecSr/IUAZH/CceGm/1OrRXH/XsrTZ/74Bo/wCEx09/9RZa1P8A7mkXIB/FkA/WugooA5//AISW7f8A49/C2uS+5WCP/wBGSrR/bHiGT/U+FmT/AK+b+JP/AEDfXQUUAc/9o8Xy9NM0S3Hq2oSyn8hCv86Ps/i+XrqWiW49BYSyn8/OX+VdBRQBz/8AZHiGT/W+KCn/AF7WEaf+h76P+EavH/4+PFWuS+waCP8A9AiU10FFAHP/APCH2D/6++1qf/e1e5UH8FcD9KP+EH8Nt/rdLjuP+vl3m/8AQya6CigDzvx54D8L3PhmOzg0SytJpr62ihks4FhdWeVUJyoGcKzHByOK6HTfBGj6PYRWum/a7XyhgTRXTh2925wx+oNO17/SfEfhux7C5lvHHqscTKP/AB+VD+FdDScU9zSFWdP4HYx/smuWv/HvqMF6g/gvIdjn/gceB/44alttRvWuEgvNJmgLHHmxSLLF+fDD8VFadFLltsy3WUl70V67flZfgISBjJAzwKWoLyxtdQg8i8toriLOdkqBgD689/es7+wfs/On6jfWfonm+bH/AN8ybsD/AHcUNtdCYRpyWsrP00+/f8DYrn/Bn/IBm/7Ceof+lk1SzXGu6dC8skFrqUaDJ+zhopSPZPmDH8RXPeFfFenWGiypqSXdgDqF6/m3Fs4iG66lODIAUBGcHJHIPUc0KV3YJ0XGPNdNeT/Tf70d5RUVtcwXltHc2s8c8Ei7klicMrD1BHBFS1RkFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFa7lvI3tha20cyvMFnLy7PLjwcsODuOcDHHXrVmqt5BNNJamK9e2Ecwd1VVPnLgjYcg4HIORzxVqgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuP+I/jpPAHhxNT+wteSzTiCKPfsXcVJyzYOBhTx3rsKp6ppOn63YvZanZQXlq/JimQMuex56H3oA8+8P8Axv8ADmt2EDSRTwag4IktAVO056B2Khux/Gurj8S6jcoHtfCmqyI3KyPNaop/8jE/pRdeB/D89vHHbWEenvEmyOWyURMq+hAG1x1+Vgw56VgSeFY9Hcvc6DDdwdTe6IGs7pfd442XefdDk9koA6H+0vFEn+q8OWaf9fOp7f8A0CJ6N/jCX/ljoVt/21mnx/46lUdMsYtQgabQPGGqbUO14pXS42H+66yoZFPsSDV3yvF9r9y60bUVHQSQyWrH6sGkH/jo+lAC/YvFkn+s13Soh6Q6W+R+LTkfpR/YWtSf67xbfp/17Wtsn/oUb0n9u61bf8f3ha7Yd3sLmKdR+DFGP4LR/wAJtokXF7LdacR1+32ktuo/4G6hT+BoAX/hFmf/AI+PEOuzf9vQi/8ARarR/wAIZpDf659TuP8ArvqtzIPyMmP0rVsdV07U4/M0+/tbtOu63mWQfmCat0Ac+PA3hbIMnh/TpiO88Cyn82zWhb6Do9nj7NpVjBjp5Vui/wAhWhRQAgAAwAAB2FLRRQAUUUUAFZt9/Z39s6V9qtjJe7pfscvks3lHYd/zAYTK5HJGelaVVp5Lxb20SC3iktnLfaJGlKtGAvy7Vwd2TweRjrzQBZoprqrxsj/dYEHnHFedfDjSbTWtAvNauhNNFqGoXEtor3Eh8q3DlEUfNwPlJ/GgD0eiuJ8A3l5daj4ljSae40KC+EWmTTyGQthcSqrsSWQOMA5PcZ4rtqACiiigAooooAKKKKACiiigAooooAKKKoXmqx2k/kLbXdxORuCQQFhj3Y4UfiRSbS3KhCU3aKM2L/SviHcN1Ww0xEB9GmkYsPygT8xXQ1xfh+TWL/UNd1C2htbVLi+MYe5JkdBEixldikA4ZXOd/Ukdsnd/sSW451DVb24HeOJ/IT/xzDY+rGlzN7I19jGPxyS9NX+Gn4mvWXJq87yNHZaVeTspKl5FEMYI93wSPcA1ft7aG0t0ggjEcSDCqO1S02myIyhFu6v6/wDA/wAzI8nXbr/W3drYof4baMzOP+Bvgf8AjlKPD1k7Br1ri/cHP+lyl1/744Qfgta1FLkXXUv6xNfB7vpp+O/3sK5/wZ/yAZv+wnqH/pZNXQVz/gz/AJAM3/YT1D/0smqjA31UKoVQAB0ArCk0jWraV5NN8QOVJLCDULdZ4x7ArscfizYreooAZGZBAhm2+aFG/ZnGcc474rGt/GGhTzrbyXws7ljhbe+ja2kY+yyBS34ZrcqOe3guoWhuIY5om+8kihlP1BoAkopksZkgeNJXhZlKrJGBuTjqMgjI9wR7Vhx2viiymQJqVjqVvuG4XUBgmC9zvjypOO2wfWgDfoqG6uYrO1kuZt/lxjc2yNnOPZVBJ/AVV03XNK1fd/Z2o21yy/fSKUFk9mXqD9aANCiiigAooooAKKKKACiiigAooooAKKKKACiiigDN1X+zvO037fbmZ/ta/ZSIWfy5trYbgHbxuGTxzWlVa7kvEe2FpbxSq0wWcySFCkeDll4O45xxx161ZoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMrU/D2n6pOt1JG8F8gwl5bOYplHpuHUf7JyD3FUvP8Q6LxcwjW7Mf8trdVjulH+1Hwkn1UqfRTXRUUAUNL1rTtYR2sblZHjOJYmBSSI+jo2GU+xAq/WZqegadqzpNcQlbqMYiuoXMc0f+664IHt0PcGqG7xFov3gNdsh/Eu2K7Qe44jk/DYfY0AXL7wvoOpSeZe6NYTy9RK9uu8fRsZH51U/4RC1h/5B+p6xYHsIb95FH0SXeo/KtDS9d07WDIlpcfv4v9bbyqY5ov8AejbDL+I57Vo0Ac9/Zvie1/49fEVvdKP4dQsAWP8AwKJkA/75NH9oeKbX/j40Gzu1H8Vjf4Y/8AkRQP8Avo10NFAHPf8ACXQQf8hDSNasT3Mli0yj6tDvUfXNWbPxX4f1CXyrXWrGSbvD56iQfVCcj8q2KrXmnWOoxeVfWdvdR/3Z4lcfkRQBZornv+EJ0GPmytptOPb+zrmW2A/4DGwX8xR/YGr23/Hj4pvsdo72GKdB+IVXP4tQB0NVLiCSS+s5VvpIUiLl7dQu2fK4AORnjrwR71k7/GFr1i0XUlHUq8tox+gIlH6ivL/HHxY1TQPHmlWM/hK3822Acec3mzHzMqfJZTgZHHQ5ORgUAel/ELWDoXgDW79WxKtq0cRHXzH+Rcf8CYUeHvBum6Z4Y03TLi2ExgtY45UkdmR2CjdlSdvJz2qtfa34G1do11xLASLwi6zZ+Sw9gJ1H6V0unmw+xRrpptvsqjCC227APbbxQBPFFHBEkUUaxxoAqogwFA7AdqfRRQAUUUUAFFFMmmit4XmmkWOJAWZ2OAB6mgaTbsh9FZP9uifjT9Pvbz0cReUn/fUm0EfTNJt166+9JZWCHsgad/zO0A/g1TzrpqbfV5L42o+u/wB2/wCBr1Wvb+3sIle4Z8MdqrHG0jMfQKoJNQWuki3uFuJr69uplzgyzYXn/YXCfpWhT1aIahGW91933f8ADGT/AGnqNz/x5aPIFPSS9kEK/kNzfmoo+watc/8AH3qwgU/8s7KEL+BZ9xP1AWtaily92X7e3wRS/H87/hYq2WnwWCuImmdnILvNM8jH8WJ/IVYd1ijaR2CooLMT2Ap1YXjOeSDwbq3knE01u1vEfSST92v/AI8wppJaIylKUneTuxvglGHg7TZpFKyXaG8cHqGmYynPvlzW/UdvBHbW0VvENscSBFHoAMCpKZIUUUUAFFFFABXP+DP+QDN/2E9Q/wDSyaugrn/Bn/IBm/7Ceof+lk1AHQUUUUAFFFFABRRRQAVUuNL0+7uobq5sbaa4gYNFLJErPGR3UkZH4VbooArX8N1cWbx2d39kuDgrMYhIBz3U9QenUVn2LeI4rtIdRj0y5tjnddWzPC68cfumDD/x/wDCtmigCpqGqWOk24uNRu4bWAsE82ZwqgnpkngdO9TW9xBdwrNbzRzRNyrxsGU/QipSAQQRkGs228P6PZai2oWmm21tdsCryQRhC4P97GN340AaVFUdTTVHjjOlXFpFIpy63ULOrj0BVgVPvg/SotNutWlleHU9Mhtiq5Wa3ufNjf25VWB7/dx70AadFVp9RsbW5htri9t4bifPlRSSqrSYxnaCcnGR09as0AFFFFABRRRQAUUUUAVbyCSaS0Md9JbCOcOyoFPnDB+Q5B45zxg8VarO1T+z/O077damd/ta/ZiIDJ5Uu1sOSAdvG4bjxz71duLiK0tpbmdxHDChkkc9FUDJP5UASUVg2t9repafHqdrDaQwyoJYbSdWMkiEZXc4YBGI7bWx6mstfGF/caf4VkttPjW7125DeRKT+5tcF2c4/iCbfbc1AHZUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGdqmh6drAjN5bhpov8AVTxsY5Yj6pIpDL+BrO2eItF/1bjXbIfwSFYrtB7Nwkn47D7muiooAzNM8Qadq0jwQTNHdxjMtpOhimj9yjYOPccHsTWnVDU9F07WI0S/tUlMZ3RSAlZIj6o4wyn3BBrM+z+IdF5tZxrVmP8AlhcsI7lR/sycK/0cKfVzQB0VFZWm+ItP1Oc2qu9vfKMvZXSGKZR67T94f7S5HvWrQAVSv9Ut7CSGBlkmup8+Tbwrud8YyfQAZGWJAGRzyKu1w/iA+IdD8Z/8JBp2itrWnzWCWs0EEqpNblXZtyhuGB3cgc8D0oA6CDxFay6tDpMsFzbajKjSi3lUEiNer7lJXbkgcE8nFWL22eXVNPlXT7OeONn8y4m/1kHy/KY/lOcng8jj1rL8OatpfiuX+3LWG6gvLQSWM1vdR+XLASUZkdfX5VPXFWdU1bS7PXdMt7vxBDY3DFilk80a/atwKjIb5uDyMYyeOelAG0yq6lWUMp4IIyDWJceDvDlzKZm0azjnPWaCMRSf99phv1q9e6zp2nSLFdXcaTMMrCDukYeyDLH8BVX+2L254sNGuXHaW7It0/I5f/x2pc0tDaOHqSXNay7vRfeyt/wirQf8g7X9bs8dFN0Llf8AyOHOPxo+yeLLX/U6tpl8g/hurNonP/A0cj/xyrP2PW7r/j51OK0Q/wAFlCCw/wCByZz+CitO2gFtbpCJJZdv8crbmP1NCbfQU6cYr4k35X/r7jkl8a38V2bWfQWvZFYq7aNc/alQjru3Km36GkuPHEyzNG+m3GloP+W+pWs+0f8AfCFP/Igrs6KLN7sr2lOPww+93/Ky++5zGnXNlrrAp4tiv+eYdPnSNf8Ax0lx/wB9V09Z+oaDpGrf8hHSrK7957dXP6is7/hDNMh5sJtR089haX0qoP8AtmWKf+O00kjOdSU9/wAkvyOhornv7H8Q23/Hn4oaYDouo2Uco+mYvKNH2rxba/63S9LvkH8VtdvC5+iOhH/j9Mg6Giue/wCEqeD/AJCPh/W7THVlthcr/wCQGc4/CpYPGXhy4lEI1m0inPSG4fyZP++Hw36UAblFIjrIgdGDKRkEHINLQAVz3in/AEibQtP6/atUiZh/swhp8/nEv5irms63/ZMtpDHp93f3F0zBIbXy9wVVyzHeyjA4755FYlrqg13x5ZJ9jvbX+z7CaWSO6gKHfI6KhB6HhZRwTQBL4i127k8RWHhTRpfK1C7ia5urnaGNpbKcFgDwXZvlXOQDkkcVoyeFdJksmgMDeaVwLzeTchv7wlPzbvfP6VzVkE0r4v8AiS71BigutMt5LNiM7o48iULjqQ204HPzD1rY8Q+JJIdImtdMhkfXbjNvaWjY3iQqDvbBICKGVi2cAcdTigBvw61268Q+CbK9vnEl2jSW80ijAkaN2Td+IAP1JrqaxPCPh2Hwp4U07RIW3i1iw7/33JLO34sSa26ACiiigArn/Bn/ACAZv+wnqH/pZNXQVz/gz/kAzf8AYT1D/wBLJqAOgooooAKKKKACiiigAooooAKKKKACiiigAooooAr3thZ6lbm3vrSC6hPWOeMOp/AjFV9L0PT9F80adA0EcmMxCVzGuM/dQnanX+EDPHoK0KKAMvU5NchmSTTLawuoNvzwzzNC+c9VYKw6Y4IH1qbTL66vYXN3plxp8qNtKTPG4b3UoxyPrg+1XqKAGLNE0rxLIhkQAsgYZUHpkU+svUvDmjavMs99p0Etwowtxt2yqPaQYYfgas6dp8em2v2eKa5lQMSpuZ2mYe25iSR9SaALdFYt9qOuWN5IU0Jb6x42NaXaifGOcxyBV656P+FaNheC/s47kW9xb785iuI9jqQccigAu3vUe1FpDDKrTAXBkkKlI8HLLgHJzt446nmmapbWmoafNpl42Ib+N7YqDguGRtwHvtDH8Koa9q2l6dcaet/4gh0pjOHVHmjT7QACCh3fw5IORjkDml1rRrvU9Q0y8tdR+ytYNJKimPeskjLsG4ZGV2tIMAg5YEEYoA49/wDhMfh7Z2rz6laa94fglit3EsBiu4o2ZY1IKna5GR15NdyujWqaxBqKrh7e1NrBGAAkSEgttHbO1B9FFU5dJvtWmg/tia2+yQSrMLa3VsSupypdm7BgGCgdQMk4xW7QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUtS0jT9YgEOoWkc6KdyFh8yN/eVhyp9wQayvsWv6Nzp90NWtB/y63z7ZlH+xNj5vo4JP8AfFdFRQBj2HiWwvrj7G4ls9QCljZXaeXKQOpUdHHuhYe9Z2h6nrNjo0MWtaPePqDbpD9mKyoxdi23dkbSM4O7AyOCRzW9qOmWOrWpttQtIrmHO4LIucHsR6EdiORWR/Zut6NzpN7/AGhaj/ly1GQl1Hok+C34OGz/AHhQBP4d0mawbUr67VFvdTuvtMyIcrGAioiA98KgyfUntXn3j/4VQ+KPiHpmqtqlzALkCOWNbVpAvlqTkODiPI4Ge/IyTivQ7HxNZXV2tjdJNp2ot0tLxQjv/uHJWQe6E++KvzvfC9tFt4oGtWLfaXdyHQbfl2ADBy2M5IwPWgadndGeLPW7Ni1vfWt6MYxdw+XIR/10Tj/xynf21c23GoaPeQgdZLcfaE/8c+f81FbFFRy22Zv7dS+OKfpo/wANPwZSstY07UWKWl7DLIv3o1b51+q9R+Iq7TDDE0yzGNDKowrlRkD2NQX1rcXKJ9mvpbR1OcoiMG9mDA8fQiq1S1M2oSlaOi89fyX6FqisfzdftP8AWW9lqCD+KFjA/wD3y25T/wB9Cj/hJLOHjUIbrTz3N1EQg/7aLlP/AB6p5110NPq038Hvemv4b/gbFFRQXEF1EJbeaOaM9HjYMD+IqWrMGmnZhRRRQIKintoLqIxXEMc0Z6pIoYH8DUtFAHPv4J8Oby9vpiWTnkvp7vasT65iKmk/4Ru+t+bDxPq0IHSOcx3KfiXQv/49XQ0UAchNpXi2LWrbU/tWj6k1tbywxxPHJaE+YyEkkGQZ/dgZwOp4rzT4e/ELxXqfxE1mTVtCuJ0aBYp47W3w9oI2YovJGRmR8jknORwK96rnvBf73QpL89b+8uboH1RpW2f+OBKAKl/4j8KahEsWto1sEbcv9qWcluI29Vd1AB9wfxrGt7TV5vFN83hq60eXQtSWJp79LjzbiHau1gpBOSR0JOATn2r0Wsi98K+H9Rk8270Wwlm7SmBRIPowGR+dAGvRXPf8Ijbwf8g/VdZsD2Ed88qj6LNvUflR/Z3ii1/49vEFpdqP4b+wG4/8CiZAP++TQB0NFc9/aXii1/4+fD9rdKP4rC/G4/8AAZVQD/vo0f8ACX20P/IQ0vWbA9zLYvKo+rxb1H50AdDXP+DP+QDN/wBhPUP/AEsmqWLxj4amhlkj13TyIULyr9oUMgAySVzkce1Y3w18RaRr2h3iaZepcPDqF3JIoBBVZbmV4yQQOCpB/wDrg0AHxUnaDwFeCAuL2Z47ez2OUYTSOEBBB6gMT+FaqeD9NXTo7ZXvI5UjCC5iu5UlyBjduDde/PHrmsTxgf7V8e+DtCHzRxXEmq3AH8IhXEZP1d/0rd8Ta/8A2PYNDZJ9q1m4UrY2SHLyOeASOyDqzHgAUAU/h9rl3r3hYS38glvLW4ms5plAAlMbld+BwMjB475rqawPBXhseE/CdjpBlE08al55f+ekrEs5+mScewFb9ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWLd+LNEtLl7X7ctxdocNbWaNcSqfdIwxH4itaKUzW6SqjIXQMFkXBXI6Edj7UASVHPPDawST3EqRQxqWeSRgqqB1JJ4ArBGi67ekNqXiN4k6mDTLdYFPsXfe/wCIK10JUMpVgCCMEHvQBh2/i3Tb+4jh0xbrUA7BTPa27NCoPcykBCB7En2rVvo7uWzdLG4ht7g42yzQmVV55+UMueM9/wA+lWKKAPE/HXwXj1vWLG/OuTpc3k/k3BTTlZSx3NvxEF29DlnzkkZavYtOshp2m21kJ5pxbxLEJZiC7ADALEAAn8KW7a9V7UWcUDq0wFwZXKlY8HJXAOWzt4OOp5qzQBgP4gv7KRl1Lw9fpECcXFli6Qj12riT/wAcrcikWaFJU3bXUMNylTg+oPIPsafSEBlIIyDwRQAtFc6PCUdod2katqmm46Rx3HnRfTy5Q4A/3dtb0zvHBI8cZlkVSVjBA3nHAyeBmgCSisCLxXAkyQalpup6bK7BF+0WxeMk8D95HuQfiwrfoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAK19p9nqdo1rf2sNzA3WOVAw+uD3965y40PVtKvbOXRdcleCJmI0m/m3JMNpG1ZSDIMdRnd0HQV1lZ96bL+1tM8+xaa6LSfZ7gW5cQHYdxL4+TI47Z6UAVLPxPaSXSWOoRTaXfucJb3gCiQ/8ATNwSkn0U59QK26gvLK11C1e1vbaK4t5Bh4pkDqw9weKxP7D1LSPm0DUC0A/5h+oO0kX0STl4/wAd6jsooA6KisK38UWy3Ednq8Euk3jnaiXRHlyn0jlHyt9MhvVRW7QAUUUUAQw2lvbNI0FvFEZDucxoF3H1OOtVLy21Q3BmsdRjRcD9xcQB0/AqVYfiT9K0aKTSasaRqSjLm39dfzMj+0dVtv8Aj80cyqOsljMJB9SrbW/AZqSDxBpc0ohN0sE56Q3KmFz9FcAn8K06jmghuYjFPEksZ6o6hgfwNK0lsy/aUpfFG3o/87/oSUVHBBDbQJBBEkUSDCoihVUegA6VnNHrts5MU9nex5yEmUwuP+BruB/75FNuxEYKTaTt66X/AE+9mrRWR/bj2/GoaZe23rIkfnp+ceSB9QKu2ep2OogmzvIJ8feEcgJX6jt+NJST0HKhUiuZrTvuvvWhX8Q6gdJ8N6nqI+9a2ssy+5VSQPzFP0PTxpOgadpw/wCXS1jg/wC+VA/pWb4y/faPbWA631/bW5Hqnmqzj/vhXroaoyCiiigAooooAKKKKAMzXdA03xHpVxp+pWySxTxtGWKjemRjKkjgjqDXFfCPwNp3hTTdRvLWaea4ubue2Z5SOEgnkjXAA77cn3r0iuf8Gf8AIBm/7Ceof+lk1AFqXwr4dnu3u5tB0uS5ckvM9nGXbJycsRk81asdJ07TN/2DT7W03/f8iFY931wOauUUAFFFFABRRRQAUUUUAFFMmmit4mlnlSKNRlndgoA9yao6dr2l6vNJHpt7Hd+WMtJBl4x2xvHyk+2c0AaNFZmqf240kcek/wBnxoQfMnu97lT2xGuN3/fYqTS7O/tI5DqGqPfSuQR+4SJI/ZQOf++magA1LXNK0dVOpaja2m77omlClvYA8k/SpNO1G31S1+02on8rcVBmgeIn3AcAke/Q1ILK0F414LWEXTKFM/ljeVHQbuuKnoAxry18Q3d3IsGpWdhZZ+Ux2xlnI9dzHYvf+Fq0rO3e1tI4JLqa6dRzNPt3vz1O0AfkBU9FADIoYoFKxRpGpJYhFABJ6mn0UUAFFFFABRRRQBTvofNksz9ultdk4bajKPP+U/uzkHIPXjB+WrlZ+pmzE2n/AGuxa6f7UPIZbcy+TJtbDk4+QAZG7tn3rQoAKKKKACiiigAqG7tY720ktpjKI5BhjFK0bD6MpBB9wamooAxLXRL+wuo2t9fvZbUN89teqk2V9FfAcH3LN9K0tQu3sbN7iOzuLwqR+5tgpcjPJAZgDjr1z6ZqzRQBjWHirSb+8SyE0ttfPnba3kDwStgZO1XA3YAJ+XPFbNFU9SsP7RthELu6tGVgyy2smxgfxBBHPQgigC5RWTp1jrVndYutYjv7PacebaBJw3bLoQpH/ABU+qatDpMcctxBeSROcFra2ebZ7sEBIHvigC/RWfpmu6VrO/8As7ULe5aP/WJHIC6f7y9V/EVoUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVp2vhe2gt47drUlvtLSOQ6jb8uwAYPzYzkjirNUrqFX1GxkN/LAY2fFurqFuMqRhgRk7fvDBHSgC7RRRQBFcW0F5byW9zDHPBINrxyqGVh6EHg1hf8I/e6T83h7UDDEP+YfeFpbc+yH78f4EqP7tdFRQBgQ+KYbeZLbXLaTSLljtVp2DW8h/2Jh8pz2DbWP8Adrfpk0MVxC8M0aSRONrI6gqw9CD1rA/4RufS/n8OXxskH/LjODLan2Vc7o/+AEAf3TQB0VFc+nihbJ1h8Q2jaVITtE7NvtXP+zMAAPo4UnsDW+CGUMpBBGQR3oAWiiigAooooAKqXOmWF5KktzZwSyoQUkeMFlI9D1FW6KTSe5UZSi7xdjmdfSW98U6BYwSiOSEXN+HZNwUogiGRkZ/1579vatD7Rrlr/rrK2vUH8VrJ5bn/AIA/H/j9VLP/AErx9qk3VbOxt7ZfZ3Z5H/Tyq6Ghq/UqFTlVnFNef+as/wATJHiKwjIW9M1g3T/TIjGv/fZ+Q/gTWpHJHNGJInV0bkMpyD+NOIBBBGQeoNUoNJ0+1uzdW1nDBMwIZol2bvqBwfxpLmKk6TWiaf3r9LfiXaKq3q35VDYSWysD8yzxswYegII2/XBql/amoW3F9o82O8lm4nX8vlf8lNDkluKNGU1eLXpfX8d/lc16Kz7XXNMvJfJivIxP/wA8ZMxyf98Nhv0rQppp7Ezpyg7TVvUK5/wZ/wAgGb/sJ6h/6WTV0Fc/4M/5AM3/AGE9Q/8ASyamQdBRRVTUNU0/SoPO1G+trSL+/cSqgP4k0AW6KjeQ/Z2lhXzTs3IqsBv44APTmsSL/hK7yZGlGl6ZbhgWjXfdSsvpu+RVP4NQBv1nNr2kpqSab/aNs185wLZJA0n4qOQPc1avLO3v7SS1uollglG1426MPQ02x06x0y3FvYWdvaQjpHBEqL+QFACahJfR2pOnW0FxcZACTzGJAO5LBWP4Yqnp9vrv2oT6nqFoY8EC1tLYqAfd2YlsewX6VrUUAVb3TLDUjEb6xtrryW3xefEr7G9RkcGrIAVQqgADgAdqWigAooooAKKKKACiiigAooooAKKKKACiiigCtdteq9t9jjgdTMBcGVypWPByVwDls7eDgdeas1Tv4llksi1/La7LgMFjdV887W/dtkHIOc4HPy1coAKKKKACiiigAooooAKKKKACiiigAooooAZ5Ufm+bsXzMbd+OcemfSqOqafe3hjksdXuLCSMH5Uijkjkz/eVlz+RWtGigDO0tNZj81NWmsZ8Y8qW1jeMt1zuRi2O3Rj36U3UvEOl6PcJFqNybUMu4TSxusIGccy42A8dCc1p0UARW1zb3kCz2s8U8LcrJE4ZT9CKlqva2FnZGU2lpBbmVt8nlRhN7dMnHU+9UNQs9cN2bjTNWt0jIA+y3dr5ifgysrDPvu+lAGvRVXT3v3tc6lBbQ3AYjFtM0iEdjllUj6Y49TVdvEOjpqbabJqVtFeqceRLIEdv90HG4c9RmgDSooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArPvGtBq2miawee4LSeRcC33i3Ow7iXx8m4fL75xWhVac3wvbQW6W5tSW+0mRmDgbfl2ADB+brnHFAFmiiigAooooAKKKKAGuiyIyOoZGGGVhkEehrAPhhtOYy+HL1tNOcm0ZfMtG/wC2eRs/4AV9wa6GigDnh4mfTiI/EdkdN7C7VvNtG/7aYBT/AIGF9ia30dJY1kjZXRhlWU5BHqDSkBgQQCDwQawH8LrZyNP4fu30mUnc0KLvtZD/ALUJIA9yhUnuTQB0FFc7/wAJHcaX8niOwNmg/wCX63JltT7s2N0f/AwFH941vwzRXEKTQSJLE43K6MGVh6gjrQA+iiobu5js7Oe6lOI4Y2kc+wGT/KgDE8KfvzrWo9fteqTYPtFiAfh+5P510NYng62ktfB2kJMMTtbJLN/10cb3/wDHmNbdABRRRQAUVQvNa03T5BHc3sKSnpFu3SH6KOT+Aqt/bN3c8afo11IO0t1i3T8m+f8A8cqXOK0No4epJc1rLu9F970NG6s7W+i8q7tobiM/wSoGH5Go7SxtNMhdbdTFETuKmRiq/QE4UfTAp9n9sMGb4QLMSflgJKgdhk4J+uBVabQtOurlri6t/tLk5C3DtIi/7qMSq/gKGuqQ4ytenOTt5ar80Zd94lkiumGmfZtVQceRbbzIp75ZQy/99bfrWR4Uu/EU+iyx2GmWdvGdQvmM97cElSbqUkCNBzgkg5ZeRxkc13SIsaBEUKoGAqjAFYPgz/kAzf8AYT1D/wBLJqIpp3bCrUpyiowja3W+r/JfhfzNu2WdbaNbqSOWcKPMeKMorN3IUkkD2yaoWPhvRtOuTdW2m263THLXDLvlP1dssfzrUoqjAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKGpNaLNp/2qwe6Y3QELLb+b5D7WxIT/AAMjd/tY71fqtdm+D2v2NbdkMw+0ecxBEeDkpgctnb14xmrNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUF3ZWmoW7W97aw3MLdY5ow6n8DxU9FAFexsLTTLOOzsbeO3to87Io1wq5OeB25NZdwvie2uZZLV9Mv7YsSkEoe3kRfTzBvDf98ityigCK2kllto5J4TBKygvEWDbD6ZHBqCw1fTdU3/2fqFrdeWSriCZX2kcEHB4NXKzNR8O6Nq0glvtNtppl+7MYwJF/3XHzD8DQBp0UxI/KgWKMkbV2qXJboOMknJ/OsL7b4osSBdaRaalH/wA9NPuPKkP/AGylwo/7+GgDoKKZLLHBC800ixxIpZ3cgBQOpJ7CiKWOeJZYZEkjYZV0OQR7EUAPooooA4jx9rmteGm0zULW8gj0qa9itb0yW+9oEfjzAdw4B659RXT6vdy2mnMtswN9MDHartzukIOOPQdT6AE1meP7Szvfh9r8N+cW32GV2b+6VUspHuCAfwqPwNbXsvhjSdT1eXztSmsIgSRjy1KqdoHqeCx7n2AAAKfiOTxDY+DPsR1KOXXdSmjsree2hMSxvIQGZRkn5VDtnOfl7V2EMZhgjjLvIUULvc5ZsDqfemyW8M0sMssSPJAxeJmGSjEFSR6HBI+hNS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVSuoo31Kwd7+WB0Z9lusiqtxlSCGBGW2j5hjGMZq7VC8a1XVdNWXT3nnZpPJuFg3i3+Q7iX/g3D5ffOKAL9FFFABRRRQAUUUUAFFFFABRRRQAVgTeFoYJnudDuZNIuWO5hAoaCQ+rwn5TnuV2t/tVvO6ohd2CqoySTgAVFFdW87FYZ4pGAyQjgnH4UAYf9v32k/L4h08xRD/mIWQaWD6uv34/xBUf3qh8Y6jaXXgm4S2vIZE1QJZQSRyAiQzMI/lIPPDk8eldHLdW8DhZZ4o2IyA7gE15J8Sfg9deKfENpqehSadarsKXMMyFVLZJMoCj5mIwDnrtFDHFJvU9ZnubWwt99xPDbwqMbpHCKPxNZ3/CR203Gn213qB7G3hOw/8AbRtqfrXP2FsPDKxf27owumiUL/bNujXBOB96RTmSPPU7dyj1FdjZ3trqFql1ZXMVzbyDKSwuHVvoRUe8/I3vQjsnL10/BX/NEFjNqU8jNeWcNtFj5FE/mOT/ALWFAH4E0t9pdvqLobl7goox5STuiN/vBSN348VdoquXSz1M/atS5oe76X/4crWenWWnRlLK0gt1PURRhc/XHWrNFFCVtiJScneTuwooopiCuf8ABn/IBm/7Ceof+lk1dBXP+DP+QDN/2E9Q/wDSyagDoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigClfxRySWRkv5bUpcBlVJFXzztb922R8wPJwOfl9qu1Q1JrZZrD7RYPdsbkCFkg8zyH2t+8J/gAGRu/wBrHer9ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjKGUqwBUjBB6GsYeEtEju1urWyFlOHDlrKRrfec/xhCA//Aga2qKAILz7ULSQ2QhNzj92JiQhPuRzWXaatq4uo7bUvD8sW9tv2m0uEnhH1ztcf98Vt0UAYfinw5D4o0eXS7vUr20s5xsmW1MamQEggEsjEdO2OtaFv5OmWttaT329ifLjecojSHsAFCgnHYDtUl9YWep2j2t/awXVu/3op4w6n6g8V4/8Q/gneeJNbsbrQb+K0tI4xHJBczSMIeSd0Y5wDx8owMj3oA9ooqO3iMFtFC0jysiBTI/3mwMZPuakoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqtOb77bafZxbm1y32kyFt4G35dmOPvYzntVmqN3HC2p6e8moSQSI0nl26yhVuCVOQynlto+bjp1oAvUUVj22vpeaiYbeHfa/aHtBcb/AL0qKWYBccqNpUnP3gRjvQBsUUUUAFFFFABRRRQAUUUUANdFkRkdQyMMFWGQRXmvhpbLwX8SvE2jSpDbWV/Eur2j7QoUfdlTPswBCjoK9MrzS8v9G8Q/GrSIRd2MyaTp8syESq264kcKEHPJULux24NAHWx6LbaxqMOtatp8LzxKVs4powzW6HBJOf4zgZ/ujgfxE71FFABWJeeGLSW6e+sJZtL1Bzl7izIXzD/00QgpJ9WBPoRW3RQBzv8Aa2saP8utWH2q2H/L/psbNgerw8uv/AS4+lbNhqFnqlot1YXUNzA3AkicMM9xx39qs1jX/hqyu7tr62abT9RbreWbBHb03jBWQezg0AbNFc7/AGlrmjcarZf2jaj/AJfdOjO9R6vBkn8ULZ/uitfTtUsdWtvtOn3cVzFnaWjbO09wR1BHcHkUAW6KKKACuf8ABn/IBm/7Ceof+lk1dBXP+DP+QDN/2E9Q/wDSyagDoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCtdm+3232MW5Tzh9o84sCIsHOzH8WdvXjGas1R1COF5bEy38loVuQyKkoQTttb92c/eBGTgf3R6VeoAKKxzr6Pq0lnbw+bFBMlvcTb8bZWXcEUY+YgFS3IwGHU5Ah8J65deItOu9QmgjitTezR2RTOZYEbartnuSGP0xQBvUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVRu3t11PT1ksJJ5maTyrhYQy252HJLfwbh8vvnFXqrT/bvttp9n+z/AGTLfafM3b8bfl2Y4+91z2oAz/FmrtoPhHV9VT/WWtpJJHn++FO39cVR8GaV9j0TTQwOy1tFhhLdZGODJKf99hke3P8AFir3inQj4j8P3Wmi4eEyodpB+Ut/Du7lQ2CQOuKvWrX8khe6jghj2gLHG5ck9yWwOPQY989gAW6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArI1Hw3Yahc/bU82z1DGBe2jeXLjsGPRx/suGHtWvRQBzv23X9G41C1Gr2g/5erFNs6j/bhz831Q5PZK1dN1fT9YgabT7qOdVO1wpw0bf3WU8qfYgGrtZWpeHdP1Odbp0eC+QYS8tnMUyj03DqP9lsj1FAGrXP8Agz/kAzf9hPUP/SyaqWp6xrXhDTLm/wBTjXWNMtozI9xAFiuUUf3kOEf3Klf92sD4P+O7PxZp+pWUVrLbz2t1NcsHIYMk88kgwR3G7B/zgA9MorA8QeJP7LvLLSbG3F5rN+T9nty21UQfelkbnag+mSeB7SDT9dSAznW/NvAM+QLZEtmP93GDIB77z689KANuisPwfql9rfhaz1XUIVgnvA0ywr0jjLHYue527cnuc1uUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUdReBJbET2El0WuQI2SESeQ21v3hP8ACAMjd/tY71Nf3aafp11ey8x28Tyt9FBJ/lSXf27fa/Y/s+zzh9o87dnysHOzH8WdvXjGah1nS01rSLrTpJ5YYriNo3aI4JUggjPpz2xQByPgOwn1HwdYXE8ro88Ul2068O9zPuZ5BnsgcqOx57AE9pp1hb6Vptrp9omy3tolhiX0VRgfyqno0GpW1nZ2t0ttHHb26xN5TFjIwAGRwNq8e5Oe2OdWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqhdpbtqmnNLqEkEytJ5VuswUXHyHIK/wAe0fN7YzV+o3t4JZoppIY3lhJMbsoLISMHB7ZHHFAElFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBHPBDdW8tvcRpLDKhSSNxlWUjBBHcEVl6B4V0PwtDNFommw2Sztvl8vJLnnGSSTgZOB0Ga2KKAOA8MRtdfF3xteXRzPax2dpbg/wDLOFoy5x7M3P1BruLy7jsbZp5QxAKqFUZLMxAUD3JIFZt94eiuNXXWLO6msdREXkvLEFZZowchZFYEEAkkEYI9cEirNvpjLOlxe3T3k8ZJjLKFSMkYJVR3xxk5PJwcE0AXo444YkiiRUjRQqoowFA6ADsKdRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBR1FLd5bHz7+S0ZbkGJUmEfnvtb92R/ECMnb/s57VeqOW3hnMZmhjkMT+ZGXUHY2CNwz0OCefepKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/2Q==)", "solution": "Laat \\(R\\), \\(S\\) en \\(T\\) respectievelijk de punten zijn waar de mier de eerste keer op \\(AC\\) is, op \\(\\ell\\) is en de tweede keer op \\(AC\\) is. Laat \\(\\ell'\\) en \\(S'\\) de spiegelingen van \\(\\ell\\) en \\(S\\) in \\(AC\\) zijn, en zij \\(Y'\\) de spiegeling van \\(Y\\) in \\(\\ell'\\). Dan geldt wegens de driehoekongelijkheid voor de totale lengte van het pad van de mier dat \n\n\\[ \n\\begin{align*}\n|XR| + |RS| + |ST| + |TY| &= |XR| + |RS'| + |S'T| + |TY| \\\\\n&\\ge |XS'| + |S'Y| \\\\\n&= |XS'| + |S'Y'| \\\\\n&\\ge |XY'|,\n\\end{align*}\n\\]\n\nmet gelijkheid als \\(S'\\) op \\(XY'\\) ligt, \\(R\\) op \\(XS'\\) en \\(T\\) op \\(S'Y\\). Dus nu rest ons te bewijzen dat \\(|XY'| = 4|XY|\\). \n\nNu herdefiniëren we \\(S'\\) als het snijpunt van \\(XY'\\) en \\(\\ell'\\). Dan is \\(\\ell'\\) per definitie de buiten-bissectrice van \\(\\angle XS'Y\\). We definiëren ook \\(B'\\) als het snijpunt van \\(BQ\\) met \\(\\ell'\\). Dan ligt \\(B'\\) ook op de middelloodlijn van \\(XY\\), dus \\(B'\\) is het tweede BOM-punt van \\(\\triangle XYS'\\). (Merk op dat \\(BQ\\) niet parallel is aan \\(\\ell'\\) of er loodrecht op staat, want \\(\\ell' \\parallel AC\\) en \\(\\triangle BAC\\) is niet gelijkbenig. Dus dit BOM-punt is goed gedefinieerd en ongelijk aan \\(S'\\).) In het bijzonder is \\(XYB'S'\\) een koordenvierhoek. Wegens onze definitie van \\(\\ell'\\) is \\(B'\\) ook de spiegeling van\n\n\n\n\\(P\\) in \\(D\\). Dus samen met de voorwaarde dat \\(2|QD| = |BP|\\) rekenen we uit dat \n\n\\[ \n\\begin{align*} \n|QB'| &= |QD| + |DB'| \\\\ \n&= |QD| + |PD| \\\\ \n&= |QD| + |PQ| + |QD| \\\\ \n&= |BP| + |PQ| \\\\ \n&= |BQ|. \n\\end{align*} \n\\]\n\nOmdat \\(Q\\) ook het midden is van \\(XY\\) en de diagonalen loodrecht op elkaar staan, concludeer en we dat \\(BXB'Y\\) een ruit is. Nu gaan we hoekenjagen met deze koordenvierhoek, deze ruit en F-hoeken: \n\n\\[ \n\\begin{align*} \n\\angle S'XY &= \\angle S'B'Y \\\\ \n&= \\angle S'B'B - \\angle YB'B \\\\ \n&= \\angle CDB - \\angle YBB' \\\\ \n&= (180^\\circ - \\frac{1}{2}\\angle CBA - \\angle ACB) - \\frac{1}{2}\\angle CBA \\\\ \n&= \\angle BAC. \n\\end{align*} \n\\]\n\nAnalog geldt dat \\(\\angle S'YX = \\angle BCA\\). Dus \\(\\triangle XYS' \\sim \\triangle ACB\\), waardoor de voorwaarde \\(|AB| + |BC| = 4|AC|\\) ook in \\(\\triangle XYS'\\) geldt. We concluderen dat \\(|XY'| = |XS'| + |S'Y| = 4|XY'|\\), wat precies is wat we zochten. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing I."}} -{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek zo dat \\(|AB| + |BC| = 4|AC|\\) en \\(|AB| < |BC|\\). Zij \\(D\\) het snijpunt van de bissectrice van \\(\\angle ABC\\) met de zijde \\(AC\\). Punten \\(P\\) en \\(Q\\) liggen op het lijnstuk \\(BD\\) zo dat \\(|BP| = 2|DQ|\\). Zij \\(\\ell\\) de lijn door \\(P\\) parallel aan \\(AC\\). De lijn door \\(Q\\) loodrecht op \\(BD\\) snijdt de lijnstukken \\(AB\\) en \\(BC\\) in respectievelijk \\(X\\) en \\(Y\\). Stel dat \\(X\\) en \\(Y\\) aan de andere kant liggen van \\(\\ell\\) dan \\(B\\). \n\nEen mier begint zijn reis in \\(X\\) en gaat vanaf daar naar een punt op \\(AC\\), dan een punt op \\(\\ell\\), dan weer terug naar een (eventueel ander) punt op \\(AC\\) en uiteindelijk naar \\(Y\\). Bewijs dat de lengte van de kortst mogelijke route van de mier gelijk is aan \\(4|XY|\\). \n\n![](data:image/jpeg;base64,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)", "solution": "We geven een alternatief voor het (subtiele gebruik van het) BOM-lemma. Definieer \\(B'\\) weer als het snijpunt van \\(BQ\\) met \\(\\ell'\\). Omdat \\(BXB'Y\\) een ruit is en \\(Y'\\) de spiegeling van \\(Y\\), geldt dat \\(|B'X| = |B'Y| = |B'Y'|\\). Dus \\(B'\\) is het middelpunt van de omgeschreven cirkel van \\(\\triangle XYY'\\). Daaruit volgt dat \\(\\angle XYY' = \\frac{1}{2}\\angle XB'Y\\). Dus met de buitenhoekstelling geldt nu dat \\(\\angle XS'Y = \\angle XYY' + \\angle Y'YS' = 2\\angle XYY' = \\angle XB'Y\\). Dus \\(XYB'S'\\) is een koordenvierhoek. Vanaf hier gaan we weer verder als Oplossing I. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing II."}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Beschouw een rechthoekig bord van \\(m \\times n\\) vakjes met \\(m, n \\ge 1\\). De hoekpunten van de vakjes vormen een \\((m+1) \\times (n+1)\\)-grid. We noemen een driehoek met hoekpunten punten van het grid *laag* als die minstens één zijde heeft die parallel is met een zijde van het bord zo dat de hoogte van de driehoek op die zijde 1 is. We noemen een lage driehoek *bijzonder* als die twee zijden heeft die parallel zijn met een zijde van het bord. We partitioneren het bord in lage driehoeken. \n\nBepaal het minimale aantal bijzondere driehoeken over alle mogelijke partitioneringen van het \\(m \\times n\\)-bord.", "solution": "Als \\(m, n \\ge 2\\) en minstens één van de twee is even, dan is het antwoord 0. Anders (minstens één van de twee is 1, of ze zijn beide oneven) is het antwoord 2. \n\nWe tekenen eerst een voorbeeld voor \\(n = 1\\) en \\(m \\ge 1\\) met twee bijzondere driehoeken, een voorbeeld voor \\(n = 2\\) en \\(m \\ge 3\\) met nul bijzondere driehoeken, en het speciale geval \\(n = 2\\), \\(m = 2\\) met wederom nul bijzondere driehoeken. \n\n![md5:a28b63a6a15113c23e02ed4c9f260d46](a28b63a6a15113c23e02ed4c9f260d46.jpeg)\n\n \n\nAls \\(m = 1\\) of \\(n = 1\\), dan is er dus een partitionering met twee bijzondere driehoeken. Stel nu dat \\(m, n \\ge 2\\). \n\nAls minstens één van \\(m\\) en \\(n\\) even is, kunnen we de rechthoek opknippen in stroken van breedte 2, dus dan kunnen we een partitionering maken met nul bijzondere driehoeken. Als ze beide oneven zijn, dan knippen we de rechthoek op in stroken van breedte 2 plus één strook van breedte 1. Zo maken we een partitionering met twee bijzondere driehoeken. Nu moeten we nog laten zien dat deze bovengrens het beste is wat we kunnen doen. \n\nVoor elke partitionering maken we nu het volgende plaatje. We zetten een rood punt in het midden van elke schuine zijde van elke driehoek, en als er twee schuine zijden zijn dan verbinden we de twee rode punten met een rode lijn. Merk op dat elke driehoek hoogstens twee schuine zijden heeft, en alleen bijzondere driehoeken hebben er maar één.\n\n\n![md5:28670d2ce21704f817a698fbe65e8367](28670d2ce21704f817a698fbe65e8367.jpeg)\n\nIn elk rood punt komen nu hoogstens twee rode lijnen samen. Dus deze rode lijnen vormen gesloten cykels of open paden, en de bijzondere driehoeken zijn precies de eindes van de de open paden. Zo hebben we hierboven een open pad van lengte nul, en een gesloten cykel gevormd door 6 rode segmenten. Een rood pad kan alleen van richting veranderen op een schuine zijde die in beide richtingen “hoogte” 1 heeft (oftewel die hoort bij twee driehoeken die in verschillende richtingen hoogte 1 hebben). Zo’n schuine zijde moet dus precies de diagonaal zijn van een vakje. In het bijzonder verandert een rood pad alleen van richting in het midden van vakjes. (Alternatief kun je zeggen dat de rode zijden nooit over de roosterlijnen lopen, want de hoogte van elke driehoek is 1 en de rode lijnen lopen op halve hoogte. Dus je kan nooit van richting veranderen op de roosterlijnen.) \n\nNu hebben we dus open en gesloten paden van orthogonale rode lijnen die alleen van richt- ing veranderen in het midden van de vakjes. Als we de vakjes in een schaakbordpatroon kleuren, dan zijn de vakjes waardoor het pad loopt om-en-om zwart en wit. Een gesloten cykel gaat dus altijd door een even aantal vakjes. Als het bord een oneven aantal vak- jes heeft, dan is er dus minstens één open pad. En dit open pad heeft twee bijzondere driehoeken aan de uiteindes. □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing."}} +{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek zo dat \\(|AB| + |BC| = 4|AC|\\) en \\(|AB| < |BC|\\). Zij \\(D\\) het snijpunt van de bissectrice van \\(\\angle ABC\\) met de zijde \\(AC\\). Punten \\(P\\) en \\(Q\\) liggen op het lijnstuk \\(BD\\) zo dat \\(|BP| = 2|DQ|\\). Zij \\(\\ell\\) de lijn door \\(P\\) parallel aan \\(AC\\). De lijn door \\(Q\\) loodrecht op \\(BD\\) snijdt de lijnstukken \\(AB\\) en \\(BC\\) in respectievelijk \\(X\\) en \\(Y\\). Stel dat \\(X\\) en \\(Y\\) aan de andere kant liggen van \\(\\ell\\) dan \\(B\\). \n\nEen mier begint zijn reis in \\(X\\) en gaat vanaf daar naar een punt op \\(AC\\), dan een punt op \\(\\ell\\), dan weer terug naar een (eventueel ander) punt op \\(AC\\) en uiteindelijk naar \\(Y\\). Bewijs dat de lengte van de kortst mogelijke route van de mier gelijk is aan \\(4|XY|\\). \n\n![md5:4b761dfbdf38c7980454d4b1f6bb0235](4b761dfbdf38c7980454d4b1f6bb0235.jpeg)", "solution": "Laat \\(R\\), \\(S\\) en \\(T\\) respectievelijk de punten zijn waar de mier de eerste keer op \\(AC\\) is, op \\(\\ell\\) is en de tweede keer op \\(AC\\) is. Laat \\(\\ell'\\) en \\(S'\\) de spiegelingen van \\(\\ell\\) en \\(S\\) in \\(AC\\) zijn, en zij \\(Y'\\) de spiegeling van \\(Y\\) in \\(\\ell'\\). Dan geldt wegens de driehoekongelijkheid voor de totale lengte van het pad van de mier dat \n\n\\[ \n\\begin{align*}\n|XR| + |RS| + |ST| + |TY| &= |XR| + |RS'| + |S'T| + |TY| \\\\\n&\\ge |XS'| + |S'Y| \\\\\n&= |XS'| + |S'Y'| \\\\\n&\\ge |XY'|,\n\\end{align*}\n\\]\n\nmet gelijkheid als \\(S'\\) op \\(XY'\\) ligt, \\(R\\) op \\(XS'\\) en \\(T\\) op \\(S'Y\\). Dus nu rest ons te bewijzen dat \\(|XY'| = 4|XY|\\). \n\nNu herdefiniëren we \\(S'\\) als het snijpunt van \\(XY'\\) en \\(\\ell'\\). Dan is \\(\\ell'\\) per definitie de buiten-bissectrice van \\(\\angle XS'Y\\). We definiëren ook \\(B'\\) als het snijpunt van \\(BQ\\) met \\(\\ell'\\). Dan ligt \\(B'\\) ook op de middelloodlijn van \\(XY\\), dus \\(B'\\) is het tweede BOM-punt van \\(\\triangle XYS'\\). (Merk op dat \\(BQ\\) niet parallel is aan \\(\\ell'\\) of er loodrecht op staat, want \\(\\ell' \\parallel AC\\) en \\(\\triangle BAC\\) is niet gelijkbenig. Dus dit BOM-punt is goed gedefinieerd en ongelijk aan \\(S'\\).) In het bijzonder is \\(XYB'S'\\) een koordenvierhoek. Wegens onze definitie van \\(\\ell'\\) is \\(B'\\) ook de spiegeling van\n\n\n\n\\(P\\) in \\(D\\). Dus samen met de voorwaarde dat \\(2|QD| = |BP|\\) rekenen we uit dat \n\n\\[ \n\\begin{align*} \n|QB'| &= |QD| + |DB'| \\\\ \n&= |QD| + |PD| \\\\ \n&= |QD| + |PQ| + |QD| \\\\ \n&= |BP| + |PQ| \\\\ \n&= |BQ|. \n\\end{align*} \n\\]\n\nOmdat \\(Q\\) ook het midden is van \\(XY\\) en de diagonalen loodrecht op elkaar staan, concludeer en we dat \\(BXB'Y\\) een ruit is. Nu gaan we hoekenjagen met deze koordenvierhoek, deze ruit en F-hoeken: \n\n\\[ \n\\begin{align*} \n\\angle S'XY &= \\angle S'B'Y \\\\ \n&= \\angle S'B'B - \\angle YB'B \\\\ \n&= \\angle CDB - \\angle YBB' \\\\ \n&= (180^\\circ - \\frac{1}{2}\\angle CBA - \\angle ACB) - \\frac{1}{2}\\angle CBA \\\\ \n&= \\angle BAC. \n\\end{align*} \n\\]\n\nAnalog geldt dat \\(\\angle S'YX = \\angle BCA\\). Dus \\(\\triangle XYS' \\sim \\triangle ACB\\), waardoor de voorwaarde \\(|AB| + |BC| = 4|AC|\\) ook in \\(\\triangle XYS'\\) geldt. We concluderen dat \\(|XY'| = |XS'| + |S'Y| = 4|XY'|\\), wat precies is wat we zochten. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing I."}} +{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek zo dat \\(|AB| + |BC| = 4|AC|\\) en \\(|AB| < |BC|\\). Zij \\(D\\) het snijpunt van de bissectrice van \\(\\angle ABC\\) met de zijde \\(AC\\). Punten \\(P\\) en \\(Q\\) liggen op het lijnstuk \\(BD\\) zo dat \\(|BP| = 2|DQ|\\). Zij \\(\\ell\\) de lijn door \\(P\\) parallel aan \\(AC\\). De lijn door \\(Q\\) loodrecht op \\(BD\\) snijdt de lijnstukken \\(AB\\) en \\(BC\\) in respectievelijk \\(X\\) en \\(Y\\). Stel dat \\(X\\) en \\(Y\\) aan de andere kant liggen van \\(\\ell\\) dan \\(B\\). \n\nEen mier begint zijn reis in \\(X\\) en gaat vanaf daar naar een punt op \\(AC\\), dan een punt op \\(\\ell\\), dan weer terug naar een (eventueel ander) punt op \\(AC\\) en uiteindelijk naar \\(Y\\). Bewijs dat de lengte van de kortst mogelijke route van de mier gelijk is aan \\(4|XY|\\). \n\n![md5:4b761dfbdf38c7980454d4b1f6bb0235](4b761dfbdf38c7980454d4b1f6bb0235.jpeg)", "solution": "We geven een alternatief voor het (subtiele gebruik van het) BOM-lemma. Definieer \\(B'\\) weer als het snijpunt van \\(BQ\\) met \\(\\ell'\\). Omdat \\(BXB'Y\\) een ruit is en \\(Y'\\) de spiegeling van \\(Y\\), geldt dat \\(|B'X| = |B'Y| = |B'Y'|\\). Dus \\(B'\\) is het middelpunt van de omgeschreven cirkel van \\(\\triangle XYY'\\). Daaruit volgt dat \\(\\angle XYY' = \\frac{1}{2}\\angle XB'Y\\). Dus met de buitenhoekstelling geldt nu dat \\(\\angle XS'Y = \\angle XYY' + \\angle Y'YS' = 2\\angle XYY' = \\angle XB'Y\\). Dus \\(XYB'S'\\) is een koordenvierhoek. Vanaf hier gaan we weer verder als Oplossing I. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Bepaal alle gehele getallen \\(n \\ge 2\\) waarvoor \\(n\\) een deler is van \\(\\binom{2n-3}{n-1}\\).", "solution": "We gaan bewijzen dat het antwoord is: alle \\(n \\ge 2\\) die geen macht van 2 zijn. Er geldt \n\n\\[ \\binom{2n-3}{n-1} = \\frac{(2n-3)!}{(n-1)!(n-2)!} = \\frac{(2n-3)(2n-4)\\cdots(n+1)n}{(n-2)(n-3)\\cdots2\\cdot1}. \\qquad (1) \\]\n\nZij \\(p\\) een priemfactor van \\(n\\) en stel dat \\(p > 2\\). We weten dat de volgende uitdrukking geheel is: \n\n\\[ \\binom{2n-3}{n} = \\frac{(2n-3)!}{n!(n-3)!} = \\frac{(2n-3)(2n-4)\\cdots(n+1)}{(n-3)(n-4)\\cdots2\\cdot1}. \\]\n\nSchrijf \\(e_p(N)\\) voor het aantal factoren \\(p\\) in een geheel getal \\(N\\). Nu zien we dat \n\n\\[ e_p((2n-3)(2n-4)\\cdots(n+1)) \\ge e_p((n-3)(n-4)\\cdots2\\cdot1). \\]\n\nVerder geldt, aangezien \\(p \\mid n\\) en \\(p > 2\\), dat \\(p \\nmid n-2\\), dus vermenigvuldigen met \\(n-2\\) voegt geen factor \\(p\\) toe. We concluderen dat \n\n\\[ e_p((2n-3)(2n-4)\\cdots(n+1)n) - e_p((n-2)(n-3)\\cdots2\\cdot1) \\ge e_p(n). \\]\n\nDus \\(\\binom{2n-3}{n-1}\\) bevat minstens \\(e_p(n)\\) factoren \\(p\\). Nu is \\(n\\) een deler van \\(\\binom{2n-3}{n-1}\\) dan en slechts dan als dit resultaat ook geldt voor \\(p = 2\\). \n\nIn een product \\(a_1a_2\\cdots a_m\\) is het totaal aantal factoren 2 gelijk aan de som van het aantal \\(a_i\\) deelbaar door 2, het aantal \\(a_i\\) deelbaar door 4, het aantal \\(a_i\\) deelbaar door 8, ... Bekijk nu eerst \\(n = 2^k\\) met \\(k \\ge 1\\). Dan is in (1) de teller het product van \\(2^k, 2^k+1, 2^k+2, \\ldots, 2^{k+1}-3\\), terwijl de noemer het product is van \\(1, 2, 3, \\ldots, 2^k-2\\). Voor \\(1 \\le i \\le k-1\\) is het aantal getallen uit \\(1, 2, 3, \\ldots, 2^k-2\\) deelbaar door \\(2^i\\) precies gelijk aan het aantal getallen uit \\(2^k+1, 2^k+2, 2^k+3, \\ldots, 2^{k+1}-2\\) deelbaar door \\(2^i\\). Voor \\(i \\ge k\\) zijn beide aantallen 0. Dus \n\n\\[ e_2(1 \\cdot 2 \\cdot 3 \\cdots (2^k-2)) = e_2((2^k+1)(2^k+2)(2^k+3) \\cdots (2^{k+1}-2)). \\]\n\nAan de rechterkant delen we het product door \\(2^{k+1}-2\\) (één factor 2) en vermenigvuldigen met \\(2^k\\) (\\(k\\) factoren 2) om het product uit de teller te krijgen. We concluderen \n\n\\[ e_2(2^k(2^k+1)(2^k+2)(2^k+3)\\cdots(2^{k+1}-3)) - e_2(1 \\cdot 2 \\cdot 3 \\cdots (2^k-2)) = k-1, \\]\n\nen dus bevat \\(\\binom{2n-3}{n-1}\\) precies \\(k-1\\) factoren 2, wat niet genoeg is om deelbaar te zijn door \\(n\\). Dus \\(n = 2^k\\) voldoet niet.\n\n\n\nBekijk nu het geval dat \\(n\\) geen macht van 2 is. Zij \\(2^k\\) de grootste macht van 2 kleiner dan \\(n\\). We weten dat \\(\\binom{2n-3}{n-1}\\) geheel is, dus voor oneven \\(n\\) geldt dat \n\n\\[e_2((2n-3)(2n-4)\\cdots(n+1)n) - e_2((n-2)(n-3)\\cdots 2\\cdot 1) \\ge 0 = e_2(n).\\]\n\nAls \\(n\\) even is, dan is er een maximale \\(\\ell\\) zo dat \\(2^\\ell \\mid n\\). Aangezien \\(n\\) geen tweemacht is, merken we op dat \\(2^{\\ell+1} < 3 \\cdot 2^\\ell \\le n < 2^{k+1}\\). Dat betekent dat \\(\\ell < k\\). Verder is \\(2^k \\le n-2\\) en dus \\(n < 2^{k+1} \\le 2n-4\\), dus de teller van (1) bevat \\(2^{k+1}\\). Nu bekijken we voor elke \\(i\\) het aantal factoren in de teller en de noemer deelbaar door \\(2^i\\): \n\n- \\(i = 1\\): er zijn \\(n-2\\) gehele getallen in elk van de producten, en \\(n\\) is even, dus het aantal getallen in het product deelbaar door 2 is in teller en noemer gelijk. \n\n- \\(2 \\le i \\le \\ell\\): in de noemer zijn \\(\\lfloor \\frac{n-2}{2^i} \\rfloor\\) getallen deelbaar door \\(2^i\\); in de teller zijn er \\(\\lceil \\frac{n-2}{2^i} \\rceil\\) deelbaar door \\(2^i\\) aangezien het kleinste getal deelbaar is door \\(2^i\\); daarom is er in de teller één meer dan in de noemer. \n\n- \\(\\ell+1 \\le i \\le k\\): in de noemer zijn \\(\\lfloor \\frac{n-2}{2^i} \\rfloor\\) getallen deelbaar door \\(2^i\\); in de teller zijn het er minstens zoveel. \n\n- \\(i = k+1\\): in de noemer is geen getal deelbaar door \\(2^{k+1}\\); in de teller is het er precies één. \n\n- \\(i > k+1\\): zowel teller als noemer bevatten geen getallen deelbaar door \\(2^i\\). \n\nAlles bij elkaar concluderen we dat \n\n\\[e_2((2n-3)(2n-4)\\cdots(n+1)n) - e_2((n-2)(n-3)\\cdots 2\\cdot 1) \\ge \\ell - 1 + 1 = \\ell = e_2(n).\\]\n\nDus \\(n\\) deelt \\(\\binom{2n-3}{n-1}\\). Het antwoord op de vraag is dus: alle \\(n \\ge 2\\) die geen macht van 2 zijn. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing I."}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Bepaal alle gehele getallen \\(n \\ge 2\\) waarvoor \\(n\\) een deler is van \\(\\binom{2n-3}{n-1}\\).", "solution": "We merken als eerste op dat het aantal manieren om \\(n-2\\) identieke ballen te verdelen over \\(n\\) verschillende vakjes gelijk is aan \\(\\binom{(n-2)+(n-1)}{n-1} = \\binom{2n-3}{n-1}\\) wegens het paaseierenprincipe voor \\(n \\ge 2\\). We gaan kijken naar de symmetrieën in de verzameling van manieren. \n\nNoteer een verdeling als \\((x_1, x_2, \\ldots, x_n)\\) met \\(x_k\\) het aantal ballen in het \\(k\\)-de vakje. De kleinste \\(1 \\le p \\le n\\) zo dat \\((x_{1+p}, x_{2+p}, \\ldots, x_{n+p}) = (x_1, x_2, \\ldots, x_n)\\) noemen we de *periode* van deze verdeling, waarbij we de indices modulo \\(n\\) rekenen. Omdat je na \\(n\\) keer doordraaien ook weer bij de oorspronkelijke verdeling uitkomt en \\(p\\) minimaal is met deze eigenschap, geldt dat \\(p\\) een deler is van \\(n\\). We schrijven \\(d = n/p\\) en de verdeling bestaat nu uit \\(d\\) gelijke\n\n\n\ndelen \\((x_1, \\ldots, x_p) = (x_{p+1}, \\ldots, x_{2p}) = \\ldots = (x_{n-p+1}, \\ldots, x_n)\\). In het bijzonder heeft elk deel evenveel ballen, dus \\(d\\) is ook een deler van \\(n-2\\). Aangezien \\(\\text{gcd}(n, n-2) = \\text{gcd}(n, 2)\\) is \\(d\\) gelijk aan 1, of eventueel 2 als \\(n\\) even is. \n\nZij \\(A\\) de verzameling van manieren om \\(n-2\\) identieke ballen te verdelen over \\(n\\) verschillende vakjes, en zij \\(A_p\\) de deelverzameling van deze manieren met periode \\(p\\). Dan kunnen we het bovenstaande als volgt samenvatten: voor \\(n \\ge 2\\) geldt \\(|A| = \\binom{2n-3}{n-1}\\), als \\(n\\) oneven is geldt \\(A = A_n\\), en als \\(n\\) even is dan \\(A = A_n \\cup A_{n/2}\\). De crux van de oplossing is nu dat voor een verdeling \\((x_1, x_2, \\ldots, x_n)\\) met periode \\(p\\) de verdelingen \\((x_{1+i}, x_{2+i}, \\ldots, x_{n+i})\\) voor \\(0 \\le i \\le p-1\\) verschillende unieke verdelingen zijn (terwijl \\(i = p\\) dus juist dezelfde verdeling geeft als \\(i = 0\\)). Dus \\(p \\mid |A_p|\\). In het bijzonder geldt \\(n \\mid |A_n|\\), en voor alle oneven \\(n \\ge 3\\) dat \\(n\\) een deler is van \\(|A_n| = |A| = \\binom{2n-3}{n-1}\\). \n\nStel nu dat \\(n\\) even is, en schrijf \\(n = 2m\\). Zij \\(B\\) de verzameling van manieren om \\(m-1\\) identieke ballen te verdelen over \\(m\\) verschillende vakjes. Dan is de restrictie \\((x_1, x_2, \\ldots, x_{2m}) \\mapsto (x_1, x_2, \\ldots, x_m)\\) tot de eerste \\(m\\) vakjes een functie van \\(A_m\\) naar \\(B\\). De functie \\((x_1, x_2, \\ldots, x_m) \\mapsto (x_1, x_2, \\ldots, x_m, x_1, \\ldots, x_m)\\) die de eerste \\(m\\) vakjes herhaalt, is een tweezijdige inverse. Dus we hebben een bijectie tussen deze twee verzamelingen. Dit betekent dat \\(|A_m| = |B|\\), en \n\n\\[|A| = |A_n| + |A_m| \\equiv |A_m| = |B| \\mod n.\\]\n\nNu rekenen we met het paaseirenprincipe uit dat \n\n\\[|B| = \\binom{2m-2}{m-1} = \\binom{2m-3}{m-2} + \\binom{2m-3}{m-1} = 2\\binom{2m-3}{m-1}.\\]\n\nWe concluderen dat \\(n\\) een deler is van \\(|A| = \\binom{2n-3}{n-1}\\), dan en slechts dan als \\(n = 2m\\) een deler is van \\(|B| = 2\\binom{2m-3}{m-1}\\), dan en slechts dan als \\(m\\) een deler is van \\(\\binom{2m-3}{m-1}\\). \n\nWe hadden al bewezen dat \\(n\\) een deler is van \\(\\binom{2n-3}{n-1}\\) voor alle oneven \\(n \\ge 3\\). Door de conclusie van de vorige alinea herhaaldelijk toe te passen vinden we nu dus dat \\(n\\) een deler is van \\(\\binom{2n-3}{n-1}\\) voor alle \\(n\\) met een oneven deler groter of gelijk aan 3. Aan de andere kant rekenen we voor \\(n = 2\\) uit dat \\(\\binom{2n-3}{n-1} = \\binom{1}{1} = 1\\), waarvan 2 duidelijk geen deler is. Dus met herhaaldelijk toepassen van de conclusie van de vorige alinea is \\(n\\) géén deler van \\(\\binom{2n-3}{n-1}\\) wanneer \\(n\\) een tweemacht is. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Bepaal alle gehele getallen \\(n \\ge 2\\) waarvoor \\(n\\) een deler is van \\(\\binom{2n-3}{n-1}\\).", "solution": "We gebruiken de notatie van oplossing II. We geven een alternatief voor de inductie voor even \\(n = 2m\\) vanaf de realisatie dat \\(|A| \\equiv |B| \\mod n\\). \n\nOmdat \\(\\text{gcd}(m, m-1) = 1\\), is er geen enkele verdeling in \\(B\\) met een periode kleiner dan \\(m\\). Dus \\(m \\mid |B|\\). Dat betekent dat \\(b = |B|/m\\) geheel is, en \\(n \\mid |A|\\) dan en slechts dan als \\(b\\)\n\n\n\neven is. Nu rekenen we uit dat \n\n\\[b = \\frac{1}{m} \\binom{2m-2}{m-1} = \\frac{1}{m} \\frac{(2m-2)!}{(m-1)!(m-1)!} = \\frac{1}{(2m-1)} \\frac{(2m-1)!}{m!(m-1)!} = \\frac{1}{(2m-1)} \\binom{2m-1}{m-1}.\\]\n\nAangezien \\(b\\) geheel is, volgt hieruit dat \\(2m-1\\) een deler is van \\(\\binom{2m-1}{m-1}\\). En omdat \\(2m-1\\) oneven is, is \\(b\\) even dan en slechts dan als \\(\\binom{2m-1}{m-1}\\) even is. Dit herschrijven we nog een keer als \\(\\binom{2m-1}{m-1} = \\frac{(2m-1)!}{m!(m-1)!} = \\frac{m}{2m} \\frac{(2m)!}{m!m!} = \\frac{1}{2} \\binom{2m}{m}\\). Dus \\(\\binom{2m-1}{m-1}\\) is even dan en slechts dan als 4 een deler is van \\(\\binom{2m}{m}\\). Zij \\(2^k\\) de grootste macht van 2 kleiner dan of gelijk aan \\(m\\). Met de notatie van oplossing I rekenen we dan uit \n\n\\[e_2(\\binom{2m}{m}) = e_2(2m!) - 2e_2(m!)\\] \\[= \\sum_{i=1}^{k+1} \\left\\lfloor \\frac{2m}{2^i} \\right\\rfloor - 2 \\sum_{i=1}^{k} \\left\\lfloor \\frac{m}{2^i} \\right\\rfloor\\] \\[= \\left( \\left\\lfloor \\frac{2m}{2} \\right\\rfloor + \\sum_{i=2}^{k+1} \\left\\lfloor \\frac{2m}{2^i} \\right\\rfloor \\right) - 2 \\sum_{i=1}^{k} \\left\\lfloor \\frac{m}{2^i} \\right\\rfloor\\] \\[= \\left( m + \\sum_{i=1}^{k} \\left\\lfloor \\frac{m}{2^i}\\right\\rfloor \\right) - 2 \\sum_{i=1}^{k} \\left\\lfloor \\frac{m}{2^i} \\right\\rfloor\\] \\[= m - \\sum_{i=1}^{k} \\left\\lfloor \\frac{m}{2^i}\\right\\rfloor\\] \\[\\geq m - \\sum_{i=1}^{k} \\frac{m}{2^i} = \\frac{m}{2^k} \\geq 1.\\]\n\nIn de twee ongelijkheden van de laatste regel geldt gelijkheid dan en slechts dan als \\(m = 2^k\\), en dus \\(n = 2^{k+1}\\). Aangezien 4 is een deler van \\(\\binom{2m}{m}\\) dan en slechts dan als \\(e_2(\\binom{2m}{m}) > 1\\), geldt dat dus dan en slechts dan als \\(n\\) géén tweemacht is. \\(\\square\\) \n\nOpmerking. De formule \\(m - \\sum_{i=1}^{k} \\left\\lfloor \\frac{m}{2^i} \\right\\rfloor\\) geeft het aantal enen in de binaire notatie van \\(m\\).", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-C2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing III."}} diff --git a/Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl b/Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl index c3e2159c974fa5b3548675a86b323b5881673f07..cd644f128ee17e8ee8c078b693213d801367d95f 100644 --- a/Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl +++ b/Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl @@ -1,7 +1,7 @@ {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Kan een getal van de vorm 44...41, met een oneven aantal vieren gevolgd door een 1, een kwadraat zijn?", "solution": "Nee. We kunnen zo'n getal 44...41 schrijven als \\(4 \\cdot \\frac{10^{2m}-1}{9} - 3\\), met \\(m \\ge 1\\) geheel. Stel dat dit een kwadraat is. Schrijf \\(4 \\cdot \\frac{10^{2m}-1}{9} - 3 = n^2\\) met \\(n\\) positief geheel. Vermenigvuldigen met 9 geeft \\(4(10^{2m} - 1) - 27 = 9n^2\\), dus \\(4 \\cdot 10^{2m} = 9n^2 + 31\\), ofwel \\((2 \\cdot 10^m)^2 - (3n)^2 = 31\\). Schrijf nu \\(x = 2 \\cdot 10^m\\) en \\(y = 3n\\), dan krijgen we dus \\(x^2 - y^2 = 31\\). Dit kunnen we ontbinden als \\((x - y)(x + y) = 31\\). Dus \\(x + y \\mid 31\\), en omdat \\(x + y \\ge 2\\) krijgen we dus \\(x + y = 31\\) en \\(x - y = 1\\). Dit levert \\(x = 16\\), maar dat is niet van de vorm \\(2 \\cdot 10^m\\). We concluderen dat een getal van de vorm 44...41 met een oneven aantal vieren geen kwadraat kan zijn. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing I."}} {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Kan een getal van de vorm 44...41, met een oneven aantal vieren gevolgd door een 1, een kwadraat zijn?", "solution": "We merken op dat de restklassen van kwadraten modulo 11 gelijk zijn aan respectievelijk 0, 1, 4, 9, 5, 3, 3, 5, 9, 4, 1. Aan de andere kant kunnen we de restklasse van 44...41 uitrekenen door steeds twee vieren van het getal af te halen, waardoor de restklasse niet verandert wegens \\(44 \\cdot 10^\\ell \\equiv 0 \\mod 11\\). Omdat het gegeven getal een oneven aantal vieren heeft, is het dus gelijk aan \n\n\\[44...41 \\equiv 41 \\equiv 8 \\mod 11.\\]\n\nDit is niet een van de kwadratische restklassen, dus geen van deze getallen is een kwadraat. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing II."}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek met \\(|AB| > |AC|\\), zij \\(\\omega\\) de omgeschreven cirkel van \\(\\triangle ABC\\) met middelpunt \\(O\\). De hoogtelijn vanuit \\(A\\) snijdt \\(BC\\) in \\(D\\) en snijdt \\(\\omega\\) een tweede keer in \\(P\\). Definieer \\(H\\) als het hoogtepunt van \\(\\triangle ABC\\) en zij \\(K\\) het punt op het lijnstuk \\(BC\\) zodanig dat \\(|BD| = |KC|\\). De omgeschreven cirkel van \\(\\triangle PKH\\) snijdt \\(\\omega\\) een tweede keer in \\(Q\\) en snijdt de lijn \\(BC\\) een tweede keer in \\(N\\). Zij \\(T\\) het punt op de lijn \\(AD\\) zodanig dat \\(TN \\perp PQ\\). \n\nBewijs dat de lijn \\(KT\\) door \\(O\\) gaat. \n\n![](data:image/jpeg;base64,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)", "solution": "Zij \\(O\\) het middelpunt van \\(\\omega\\). Wegens \\(|BD| = |KC|\\) vallen de middelloodlijnen van \\(BC\\) en \\(KD\\) samen en in het bijzonder geldt dus dat \\(|OK| = |OD|\\). Zij \\(T'\\) de spiegeling van \\(K\\) in \\(O\\). Wegens Thales geldt dan dat \\(\\angle KDT' = 90^\\circ\\), dus \\(T'\\) ligt op \\(AD\\). \n\nHet is een standaardplaatje dat de spiegeling van \\(H\\) in \\(BC\\) op de omgeschreven cirkel ligt. (Eenvoudig te bewijzen door \\(\\angle BHC\\) uit te rekenen.) Hieruit volgt dat \\(\\triangle PKH\\) in zichzelf overgaat onder spiegeling in \\(BC\\). Dit betekent dat het middelpunt \\(M\\) van de omgeschreven cirkel van \\(\\triangle PKH\\) op \\(BC\\) ligt, en dat \\(M\\) het midden van \\(KN\\) is. Per definitie is \\(O\\) het midden van \\(KT'\\), dus \\(OM\\) is een middenparallel in \\(\\triangle KNT'\\); in het bijzonder geldt \\(OM \\parallel NT'\\). Omdat \\(P\\) en \\(Q\\) beide op zowel \\(\\omega\\) als de omgeschreven cirkel\n\n\n\nvan \\(\\triangle PKH\\) liggen, is \\(OM\\) de middelloodlijn van \\(PQ\\), dus \\(OM \\perp PQ\\). Nu volgt dat ook \\(NT' \\perp PQ\\), en kunnen we concluderen dat \\(T'\\) gelijk is aan \\(T\\). \\(\\square\\) \n\nOpmerking. Zij \\(\\ell\\) de lijn door \\(N\\) loodrecht op \\(PQ\\). We laten voor de volledigheid zien dat \\(\\ell\\) niet evenwijdig is met \\(AD\\) en in het bijzonder niet samenvalt (zodat \\(T\\) bestaat en uniek vastligt). Merk op dat \\(H\\) binnen \\(\\triangle ABC\\) ligt, omdat dit een scherphoekige driehoek is. Hieruit volgt dat \\(D \\neq N\\), en dus dat \\(\\ell\\) niet samenvalt met \\(AD\\). Omdat \\(D \\neq N\\) en \\(M\\) het midden is van \\(KN\\), is \\(M\\) niet het midden van \\(KD\\). Dus \\(M\\) is niet het midden van \\(BC\\). Hierdoor staat \\(OM\\) niet loodrecht op \\(BC\\). Omdat \\(OM \\parallel \\ell\\) en \\(AD \\perp BC\\) concluderen we dat \\(\\ell\\) niet evenwijdig is met \\(AD\\).", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing I."}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek met \\(|AB| > |AC|\\), zij \\(\\omega\\) de omgeschreven cirkel van \\(\\triangle ABC\\) met middelpunt \\(O\\). De hoogtelijn vanuit \\(A\\) snijdt \\(BC\\) in \\(D\\) en snijdt \\(\\omega\\) een tweede keer in \\(P\\). Definieer \\(H\\) als het hoogtepunt van \\(\\triangle ABC\\) en zij \\(K\\) het punt op het lijnstuk \\(BC\\) zodanig dat \\(|BD| = |KC|\\). De omgeschreven cirkel van \\(\\triangle PKH\\) snijdt \\(\\omega\\) een tweede keer in \\(Q\\) en snijdt de lijn \\(BC\\) een tweede keer in \\(N\\). Zij \\(T\\) het punt op de lijn \\(AD\\) zodanig dat \\(TN \\perp PQ\\). \n\nBewijs dat de lijn \\(KT\\) door \\(O\\) gaat. \n\n![](data:image/jpeg;base64,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)", "solution": "Voor een directere versie van de vorige oplossing, merken we wederom op dat \\(OM \\perp PQ \\perp TN\\). Dus \\(OM \\parallel TN\\), en omdat \\(M\\) het midden is van \\(KN\\) is de lijn \\(OM\\) dus de middenparallel van \\(\\triangle KNT\\) (maar \\(O\\) ligt a priori nog niet op \\(KT\\)). Dus \\(OM\\) gaat door het midden van \\(KT\\), zeg \\(O'\\). Verder is de middelloodlijn van \\(KD\\) een middenparallel in \\(\\triangle KDT\\), want hij gaat door het midden van \\(KD\\) en is evenwijdig aan \\(DT\\). Dus deze gaat ook door \\(O'\\). De middelloodlijn van \\(KD\\) is gelijk aan de middelloodlijn van \\(BC\\). Deze gaat ook door \\(O\\), omdat \\(BC\\) een koorde is van \\(\\omega\\). Omdat \\(MO\\) en de middelloodlijn van \\(BC\\) beide door zowel \\(O\\) als \\(O'\\) gaan, concluderen we dat \\(O' = O\\). Dus \\(KT\\) gaat door \\(O\\). \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing II."}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek met \\(|AB| > |AC|\\), zij \\(\\omega\\) de omgeschreven cirkel van \\(\\triangle ABC\\) met middelpunt \\(O\\). De hoogtelijn vanuit \\(A\\) snijdt \\(BC\\) in \\(D\\) en snijdt \\(\\omega\\) een tweede keer in \\(P\\). Definieer \\(H\\) als het hoogtepunt van \\(\\triangle ABC\\) en zij \\(K\\) het punt op het lijnstuk \\(BC\\) zodanig dat \\(|BD| = |KC|\\). De omgeschreven cirkel van \\(\\triangle PKH\\) snijdt \\(\\omega\\) een tweede keer in \\(Q\\) en snijdt de lijn \\(BC\\) een tweede keer in \\(N\\). Zij \\(T\\) het punt op de lijn \\(AD\\) zodanig dat \\(TN \\perp PQ\\). \n\nBewijs dat de lijn \\(KT\\) door \\(O\\) gaat. \n\n![md5:98e7449ffa1b9943df1e63ed19f5fbaf](98e7449ffa1b9943df1e63ed19f5fbaf.jpeg)", "solution": "Zij \\(O\\) het middelpunt van \\(\\omega\\). Wegens \\(|BD| = |KC|\\) vallen de middelloodlijnen van \\(BC\\) en \\(KD\\) samen en in het bijzonder geldt dus dat \\(|OK| = |OD|\\). Zij \\(T'\\) de spiegeling van \\(K\\) in \\(O\\). Wegens Thales geldt dan dat \\(\\angle KDT' = 90^\\circ\\), dus \\(T'\\) ligt op \\(AD\\). \n\nHet is een standaardplaatje dat de spiegeling van \\(H\\) in \\(BC\\) op de omgeschreven cirkel ligt. (Eenvoudig te bewijzen door \\(\\angle BHC\\) uit te rekenen.) Hieruit volgt dat \\(\\triangle PKH\\) in zichzelf overgaat onder spiegeling in \\(BC\\). Dit betekent dat het middelpunt \\(M\\) van de omgeschreven cirkel van \\(\\triangle PKH\\) op \\(BC\\) ligt, en dat \\(M\\) het midden van \\(KN\\) is. Per definitie is \\(O\\) het midden van \\(KT'\\), dus \\(OM\\) is een middenparallel in \\(\\triangle KNT'\\); in het bijzonder geldt \\(OM \\parallel NT'\\). Omdat \\(P\\) en \\(Q\\) beide op zowel \\(\\omega\\) als de omgeschreven cirkel\n\n\n\nvan \\(\\triangle PKH\\) liggen, is \\(OM\\) de middelloodlijn van \\(PQ\\), dus \\(OM \\perp PQ\\). Nu volgt dat ook \\(NT' \\perp PQ\\), en kunnen we concluderen dat \\(T'\\) gelijk is aan \\(T\\). \\(\\square\\) \n\nOpmerking. Zij \\(\\ell\\) de lijn door \\(N\\) loodrecht op \\(PQ\\). We laten voor de volledigheid zien dat \\(\\ell\\) niet evenwijdig is met \\(AD\\) en in het bijzonder niet samenvalt (zodat \\(T\\) bestaat en uniek vastligt). Merk op dat \\(H\\) binnen \\(\\triangle ABC\\) ligt, omdat dit een scherphoekige driehoek is. Hieruit volgt dat \\(D \\neq N\\), en dus dat \\(\\ell\\) niet samenvalt met \\(AD\\). Omdat \\(D \\neq N\\) en \\(M\\) het midden is van \\(KN\\), is \\(M\\) niet het midden van \\(KD\\). Dus \\(M\\) is niet het midden van \\(BC\\). Hierdoor staat \\(OM\\) niet loodrecht op \\(BC\\). Omdat \\(OM \\parallel \\ell\\) en \\(AD \\perp BC\\) concluderen we dat \\(\\ell\\) niet evenwijdig is met \\(AD\\).", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing I."}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(\\triangle ABC\\) een scherphoekige driehoek met \\(|AB| > |AC|\\), zij \\(\\omega\\) de omgeschreven cirkel van \\(\\triangle ABC\\) met middelpunt \\(O\\). De hoogtelijn vanuit \\(A\\) snijdt \\(BC\\) in \\(D\\) en snijdt \\(\\omega\\) een tweede keer in \\(P\\). Definieer \\(H\\) als het hoogtepunt van \\(\\triangle ABC\\) en zij \\(K\\) het punt op het lijnstuk \\(BC\\) zodanig dat \\(|BD| = |KC|\\). De omgeschreven cirkel van \\(\\triangle PKH\\) snijdt \\(\\omega\\) een tweede keer in \\(Q\\) en snijdt de lijn \\(BC\\) een tweede keer in \\(N\\). Zij \\(T\\) het punt op de lijn \\(AD\\) zodanig dat \\(TN \\perp PQ\\). \n\nBewijs dat de lijn \\(KT\\) door \\(O\\) gaat. \n\n![md5:98e7449ffa1b9943df1e63ed19f5fbaf](98e7449ffa1b9943df1e63ed19f5fbaf.jpeg)", "solution": "Voor een directere versie van de vorige oplossing, merken we wederom op dat \\(OM \\perp PQ \\perp TN\\). Dus \\(OM \\parallel TN\\), en omdat \\(M\\) het midden is van \\(KN\\) is de lijn \\(OM\\) dus de middenparallel van \\(\\triangle KNT\\) (maar \\(O\\) ligt a priori nog niet op \\(KT\\)). Dus \\(OM\\) gaat door het midden van \\(KT\\), zeg \\(O'\\). Verder is de middelloodlijn van \\(KD\\) een middenparallel in \\(\\triangle KDT\\), want hij gaat door het midden van \\(KD\\) en is evenwijdig aan \\(DT\\). Dus deze gaat ook door \\(O'\\). De middelloodlijn van \\(KD\\) is gelijk aan de middelloodlijn van \\(BC\\). Deze gaat ook door \\(O\\), omdat \\(BC\\) een koorde is van \\(\\omega\\). Omdat \\(MO\\) en de middelloodlijn van \\(BC\\) beide door zowel \\(O\\) als \\(O'\\) gaan, concluderen we dat \\(O' = O\\). Dus \\(KT\\) gaat door \\(O\\). \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Johan en Quintijn spelen het volgende spel, waarbij ze om en om aan de beurt zijn en Johan begint. Aan het begin staan op een bord de getallen \\(1, 2, \\dots, 2024\\) geschreven. In elke beurt veegt de speler die aan de beurt is twee getallen \\(a\\) en \\(b\\) die op het bord staan uit, en schrijft het (mogelijk negatieve) verschil \\(a - b\\) op het bord. Het spel eindigt als er nog maar één getal op het bord staat. Als dit getal deelbaar is door 3, dan wint Johan, en anders wint Quintijn. \n\nBepaal welke van de twee spelers een winnende strategie heeft.", "solution": "We gaan bewijzen dat Quintijn een winnende strategie heeft. Merk allereerst op dat alleen het aantal getallen in elke restklasse modulo 3 van belang is. Als \\(a \\equiv i \\mod 3\\), \\(b \\equiv j \\mod 3\\) en \\(a - b \\equiv k \\mod 3\\), dan noteren we de zet met \\(a\\) en \\(b\\) als \\((i, j) \\to k\\). Zij \\(x\\) het aantal getallen op het bord die *niet* deelbaar zijn door 3. Merk op dat \\(x\\) in elke beurt met hoogstens 2 kan afnemen. \n\nQuintijn kan het spel willekeurig spelen totdat aan het begin van zijn beurt geldt dat \\(1 \\le x \\le 4\\). Vanaf dat moment houdt hij de volgende strategie aan. \n\n- Als \\(x = 4\\), dan doet Quintijn altijd een zet die er voor zorgt dat \\(x\\) gelijk blijft aan 4. Om aan te tonen dat dit altijd kan, merken we op dat Quintijn aan het begin van zijn beurt altijd een oneven aantal getallen over heeft. Als \\(x = 4\\), moet er dus ook nog minstens één getal op het bord staan dat deelbaar is door 3. Nu kan Quintijn dus een zet doen van de vorm \\((i, 0) \\to i\\) met \\(i \\in \\{1, 2\\}\\), en verandert de waarde van \\(x\\) dus niet. \n\nAls Quintijn deze strategie aanhoudt, moet Johan dus op een gegeven moment een zet doen waardoor \\(x \\in \\{2, 3\\}\\), en bevinden we ons in één van de volgende gevallen. \n\n- Als \\(x = 3\\), dan staan er zonder verlies van algemeenheid twee getallen op het bord die congruent zijn aan 1 modulo 3. Met de zet \\((1, 1) \\to 0\\) kan Quintijn er voor zorgen dat \\(x = 1\\), en dan blijft er altijd exact 1 getal dat niet deelbaar is door 3 op het bord staan. Dus is uiteindelijk ook het laatste getal niet deelbaar door 3, en wint Quintijn. \n\n- Als \\(x = 2\\), dan onderscheiden we twee deelgevallen. \n\n- De twee getallen zitten in verschillende restklassen modulo 3. Dan kan Quintijn de zet \\((2, 1) \\to 1\\) doen zodat \\(x = 1\\), en zoals we al zagen wint hij dan. \n\n- De twee getallen zitten in dezelfde restklass modulo 3, zeg dat ze beide congruent zijn aan 1 modulo 3. Omdat er een oneven aantal overgebleven is, staat er ook nog een getal op het bord dat deelbaar is door 3. Met de zet \\((0, 1) \\to 2\\) laat Quintijn een situatie over waarin opnieuw \\(x = 2\\), en de getallen niet congruent aan elkaar zijn modulo 3. Nu kan Johan er niet voor zorgen dat \\(x\\) gelijk wordt\n\n\n\naan 0, dus laat hij een situatie over waarin \\(x = 1\\) of \\(x = 2\\). Als Quintijn deze strategie aanhoudt, dan moet Johan uiteindelijk een zet doen waardoor we in het vorige deelgeval of in het geval \\(x = 1\\) terecht komen, en dus wint Quintijn. \n\n* Als \\(x = 1\\), dan blijft er zoals gezegd altijd een getal dat niet deelbaar is door 3 op het bord staan, dus wint Quintijn. \n\nWe concluderen dat Quintijn inderdaad een winnende strategie heeft.", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing I."}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Johan en Quintijn spelen het volgende spel, waarbij ze om en om aan de beurt zijn en Johan begint. Aan het begin staan op een bord de getallen \\(1, 2, \\dots, 2024\\) geschreven. In elke beurt veegt de speler die aan de beurt is twee getallen \\(a\\) en \\(b\\) die op het bord staan uit, en schrijft het (mogelijk negatieve) verschil \\(a - b\\) op het bord. Het spel eindigt als er nog maar één getal op het bord staat. Als dit getal deelbaar is door 3, dan wint Johan, en anders wint Quintijn. \n\nBepaal welke van de twee spelers een winnende strategie heeft.", "solution": "Voor \\(i = 0, 1, 2\\) noteren we het aantal getallen op het bord dat congruent is aan \\(i\\) modulo 3 met \\(x_i\\). Merk op dat Johan de laatst overgebleven getallen die niet deelbaar zijn door 3 alleen weg kan spelen als \\(x_1 = 2\\) en \\(x_2 = 0\\), of \\(x_1 = 0\\) en \\(x_2 = 2\\). We beweren nu dat, als \\(x_1\\) en \\(x_2\\) niet beide gelijk zijn aan 0, Quintijn altijd een zet kan doen die er voor zorgt dat minstens één van \\(x_1\\) en \\(x_2\\) oneven is. Zoals we net zagen, kan Johan dan niet alle getallen die niet deelbaar zijn door 3 wegspelen; en in zijn eerste beurt lukt dit natuurlijk ook niet. Door deze strategie te volgen, wint Quintijn dus. \n\nOm de bewering te bewijzen, stel eerst dat \\(x_1\\) en \\(x_2\\) beide even zijn. Dan moet minstens één van de twee minstens gelijk zijn aan 2, zeg \\(x_1 \\ge 2\\). Omdat Quintijn aan het begin van zijn beurt altijd een oneven aantal getallen over heeft, moet er ook nog een getal op het bord staan dat deelbaar is door 3. Met de zet \\((0, 1) \\to 2\\) zorgt Quintijn ervoor dat \\(x_1\\) met 1 afneemt en \\(x_2\\) met 1 toeneemt. Na deze beurt zijn \\(x_1\\) en \\(x_2\\) dus beide oneven. \n\nStel nu dat minstens één van \\(x_1\\) en \\(x_2\\) oneven is. Als er nog minstens 4 getallen over zijn, dan is er een \\(i\\) met \\(x_i \\ge 2\\). Door de zet \\((i, i) \\to 0\\) veranderen \\(x_1\\) en \\(x_2\\) niet modulo 2, dus volgt de bewering. Het laatste geval is dat er precies 3 getallen over zijn (want Quintijn heeft aan het begin van zijn beurt altijd een oneven aantal getallen over). Dan moet gelden dat \\(x_0 = x_1 = x_2 = 1\\), en kan Quintijn de zet \\((1, 0) \\to 1\\) doen. \n\nDit voltooit het bewijs van de bewering, dus Quintijn heeft inderdaad een winnende strategie.", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing II."}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "Vind alle functies \\(f: \\mathbb{Z}_{>0} \\to \\mathbb{Z}_{>0}\\) zo dat voor alle positieve gehele getallen \\(m, n\\) geldt dat \n\n\\[(f(m))^2 + 2mf(n) + f(n^2)\\]\n\nhet kwadraat van een geheel getal is.", "solution": "Vul in \\(m = n = 1\\), dan moet \\(f(1)^2 + 3f(1)\\) een kwadraat zijn. Aangezien \n\n\\[(f(1) + 1)^2 \\le f(1)^2 + 3f(1) < (f(1) + 2)^2,\\]\n\nmoet er links gelijkheid gelden, en dus is \\(f(1) = 1\\). Laat nu \\(p = 2k+1\\) een oneven priemgetal en vul in \\(m = k = (p-1)/2\\) en \\(n = 1\\). Dan zien we dat \\(f(k)^2 + p\\) een kwadraat moet zijn, zeg \\(a^2\\) voor een positieve gehele \\(a\\). Dat geeft \\(p = a^2 - f(k)^2 = (a - f(k))(a + f(k))\\), en dit heeft als enige oplossing \\(a - f(k) = 1\\) en \\(a + f(k) = p = 2k + 1\\). Hiervan het verschil nemen geeft \\(f(k) = k\\). \n\nNu vullen we alleen \\(m = k\\) in (weer zodat \\(2k + 1\\) een oneven priemgetal is, dus zodat \\(f(k) = k\\)), dan zien we dat \\(k^2 + 2kf(n) + f(n^2) = (k + f(n))^2 + f(n^2) - f(n)^2\\) een kwadraat is. Als we \\(k\\) groot genoeg kiezen (voor gegeven \\(n\\)) zodat \\(1 - 2k - 2f(n) < f(n^2) - f(n)^2 < 1 + 2k + 2f(n)\\), dan zien we dat \n\n\\[(k + f(n) - 1)^2 < (k + f(n))^2 + f(n^2) - f(n)^2 < (k + f(n) + 1)^2.\\]\n\nDe middelste uitdrukking is een kwadraat en moet dus gelijk zijn aan \\((k + f(n))^2\\), dat betekent dat \\(f(n^2) = f(n)^2\\) voor alle \\(n\\). Tot slot vullen we \\(n = k\\) in, en zien we dat \\(f(m)^2 + 2mk + k^2 = (k + m)^2 + f(m)^2 - m^2\\) een kwadraat is. Als we nu \\(k\\) weer groot genoeg kiezen (voor gegeven \\(m\\)), zien we met dezelfde redenering dat \\(f(m)^2 = m^2\\), dus \\(f(m) = m\\) voor alle \\(m\\). \n\nDe functie \\(f(m) = m\\) voldoet inderdaad, want dan is het gevraagde gelijk aan \\((m+n)^2\\). □", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-D2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing."}} diff --git a/Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl b/Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl index 20e25eb672df549f03f6e725eae8eec223615acf..cda20740a11fac26026a6cce972c10b43ef66907 100644 --- a/Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl +++ b/Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl @@ -1,4 +1,4 @@ -{"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(ABCD\\) een parallellogram en zij \\(M\\) het snijpunt van de diagonalen. De omgeschreven cirkel van \\(\\triangle ABM\\) snijdt het lijnstuk \\(AD\\) in \\(E \\neq A\\) en de omgeschreven cirkel van \\(\\triangle EMD\\) snijdt het lijnstuk \\(BE\\) in het punt \\(F \\neq E\\). \n\nBewijs dat \\(\\angle ACB = \\angle DCF\\). \n\n![](data:image/jpeg;base64,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)", "solution": "We laten eerst zien dat \\(CBFD\\) een koordenvierhoek is. Er geldt \n\n\\[ \n\\begin{align*} \n\\angle BCD &= \\angle BAD = \\angle BAE \\quad (\\text{parallellogram}) \\\\\n&= 180^\\circ - \\angle EMB \\quad (\\text{koordenvierhoekstelling in } EABM) \\\\\n&= \\angle EMD \\quad (\\text{gestrekte hoek}) \\\\\n&= \\angle EFD \\quad (\\text{omtrekshoekstelling in } EFMD) \\\\\n&= 180^\\circ - \\angle BFD \\quad (\\text{gestrekte hoek}). \n\\end{align*} \n\\]\n\nDus wegens de koordenvierhoekstelling is \\(CBFD\\) een koordenvierhoek. Daarmee vinden\n\n\n\nwe dat \n\n\\[\n\\begin{align*}\n\\angle ACD &= \\angle CAB = \\angle MAB \\tag{Z-hoeken} \\\\\n&= \\angle MEB = \\angle MEF \\tag{omtrekshoekstelling in EABM} \\\\\n&= \\angle MDF = \\angle BDF \\tag{omtrekshoekstelling in EFMD} \\\\\n&= \\angle BCF \\tag{omtrekshoekstelling in CBFD}.\n\\end{align*}\n\\]\n\nDus \\(\\angle ACF + \\angle FCD = \\angle ACD = \\angle BCF = \\angle BCA + \\angle ACF\\). Als we hier \\(\\angle ACF\\) van af\nhalen vinden we dat \\(\\angle ACB = \\angle DCF\\), wat we wilden bewijzen. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing."}} +{"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "Dutch_TST", "problem": "Zij \\(ABCD\\) een parallellogram en zij \\(M\\) het snijpunt van de diagonalen. De omgeschreven cirkel van \\(\\triangle ABM\\) snijdt het lijnstuk \\(AD\\) in \\(E \\neq A\\) en de omgeschreven cirkel van \\(\\triangle EMD\\) snijdt het lijnstuk \\(BE\\) in het punt \\(F \\neq E\\). \n\nBewijs dat \\(\\angle ACB = \\angle DCF\\). \n\n![md5:d69e9233467979ff433c86994be6ba9e](d69e9233467979ff433c86994be6ba9e.jpeg)", "solution": "We laten eerst zien dat \\(CBFD\\) een koordenvierhoek is. Er geldt \n\n\\[ \n\\begin{align*} \n\\angle BCD &= \\angle BAD = \\angle BAE \\quad (\\text{parallellogram}) \\\\\n&= 180^\\circ - \\angle EMB \\quad (\\text{koordenvierhoekstelling in } EABM) \\\\\n&= \\angle EMD \\quad (\\text{gestrekte hoek}) \\\\\n&= \\angle EFD \\quad (\\text{omtrekshoekstelling in } EFMD) \\\\\n&= 180^\\circ - \\angle BFD \\quad (\\text{gestrekte hoek}). \n\\end{align*} \n\\]\n\nDus wegens de koordenvierhoekstelling is \\(CBFD\\) een koordenvierhoek. Daarmee vinden\n\n\n\nwe dat \n\n\\[\n\\begin{align*}\n\\angle ACD &= \\angle CAB = \\angle MAB \\tag{Z-hoeken} \\\\\n&= \\angle MEB = \\angle MEF \\tag{omtrekshoekstelling in EABM} \\\\\n&= \\angle MDF = \\angle BDF \\tag{omtrekshoekstelling in EFMD} \\\\\n&= \\angle BCF \\tag{omtrekshoekstelling in CBFD}.\n\\end{align*}\n\\]\n\nDus \\(\\angle ACF + \\angle FCD = \\angle ACD = \\angle BCF = \\angle BCA + \\angle ACF\\). Als we hier \\(\\angle ACF\\) van af\nhalen vinden we dat \\(\\angle ACB = \\angle DCF\\), wat we wilden bewijzen. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 1.", "solution_match": "\nOplossing."}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "Dutch_TST", "problem": "We noemen een geheel getal \\(n \\ge 3\\) polypythagorees als er \\(n\\) verschillende positieve getallen zijn die je een cirkel achter elkaar kan zetten zo dat de som van de kwadraten van elk paar opvolgende getallen een kwadraat is. Zo is 3 een polypythagorees getal omdat je bijvoorbeeld met 44, 117 en 240 een drietal hebt waarvoor geldt dat \\(44^2 + 117^2 = 125^2\\), \\(117^2 + 240^2 = 267^2\\) en \\(240^2 + 44^2 = 244^2\\). \n\nVind alle polypythagorees getallen.", "solution": "We bewijzen met inductie dat alle gehele getallen groter of gelijk aan 2 polypythagorees zijn, waarbij we de definitie uitbreiden naar \\(n = 2\\) op de logische manier. Als inductiebasis nemen we (3, 4) voor \\(n = 2\\) en (44, 117, 240) uit het voorbeeld voor \\(n = 3\\). \n\nStel nu dat \\(n\\) polypythagorees is met als getuige de getallen \\((a_1, a_2, \\dots, a_n)\\). Kies nu een priemgetal \\(p\\) dat geen enkele van de \\(a_i\\) deelt. Dan definiëren we \\(x = p^2 - 1\\) en \\(y = 2p\\). Hiervoor geldt dat \\(x^2 + y^2 = (p^2 - 1)^2 + (2p)^2 = (p^2 + 1)^2\\). Door ons \\(n\\)-tal met \\(x\\) te vermenigvuldigen kunnen hiermee nu twee getallen invoegen: \n\n\\[(x a_1, x a_2, \\dots, x a_n, y a_n, y a_1).\\]\n\nWe controleren eenvoudig dat \n\n\\[ \n\\begin{align*} (x a_i)^2 + (x a_{i+1})^2 &= x^2 (a_i^2 + a_{i+1}^2), \\\\ (x a_n)^2 + (y a_n)^2 &= (x^2 + y^2) a_n, \\\\ (y a_n)^2 + (y a_1)^2 &= y^2 (a_n^2 + a_1^2), \\\\ (y a_1)^2 + (x a_1)^2 &= (y^2 + x^2) a_1^2, \\end{align*} \n\\]\n\ninderdaad allemaal kwadraten zijn wegens de inductiehypothese en de definitie van \\(x\\) en \\(y\\). Omdat de getallen \\(a_1, a_2, \\dots, a_n\\) allemaal verschillend zijn, zijn de getallen \\(x a_1, x a_2, \\dots, x a_n\\) ook allemaal verschillend. De getallen \\(y a_n\\) en \\(y a_1\\) zijn ook verschillend van elkaar. En omdat \\(y\\) deelbaar is door \\(p\\), maar \\(x\\) en \\(a_i\\) niet, kunnen \\(y a_n\\) of \\(y a_1\\) niet gelijk zijn aan een van de \\(x a_i\\). We concluderen dat \\(x a_1, x a_2, \\dots, x a_n, y a_n, y a_1\\) allemaal verschillend zijn, dus \\(n + 2\\) is polypythagorees. \n\nAangezien onze inductiebasis bestond uit \\(n = 2, 3\\) bewijst dit met stappen van twee dat alle getallen polypythagorees zijn. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 2.", "solution_match": "\nOplossing."}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "Dutch_TST", "problem": "Bepaal alle drietallen \\((x, y, p)\\) van positieve gehele getallen zo dat \\(p\\) een\npriemgetal is, \\(x^2 = p - 1\\) en \\(y^2 = 2p^2 - 1\\).", "solution": "Het enige drietal dat voldoet is \\((2, 7, 5)\\). \n\nWe rekenen eerst uit dat \n\n\\[ (y + x)(y - x) = y^2 - x^2 = (2p^2 - 1) - (p - 1) = 2p^2 - p = p(2p - 1). \\quad (1) \\]\n\nDat betekent in het bijzonder dat \\(p \\mid x + y\\) of \\(p \\mid x - y\\). \n\nStel dat \\(p \\mid y + x\\). Dan geldt dat \\(y = kp - x\\) voor een zekere \\(k \\in \\mathbb{Z}\\). Uit het gegeven volgt echter dat \\(2p > y > p\\) en \\(x < p\\). Dus \\(2p > y = kp - x > kp - p = (k - 1)p\\) en \\(kp > kp - x = y > p\\), waaruit we concluderen dat \\(k = 2\\). Dus \\(y = 2p - x\\). Als we dat invullen in (1) krijgen we \n\n\\[ 2p(2p - x - x) = p(2p - 1). \\]\n\nAls we \\(p\\) uitdelen, dan houden we over dat \\(4(p - x) = 2p - 1\\). Dit is onmogelijk aangezien de linkerkant even is en de rechterkant oneven. \n\nStel nu dat \\(p \\mid y - x\\). Dan hebben we \\(y = kp + x\\). Uit het gegeven volgt dan \\(2p > y = kp + x > kp\\) en \\((k + 1)p = kp + p > kp + x = y > p\\). Hieruit volgt dat \\(k = 1\\), dus \\(y - x = p\\), en wegens (1) ook dat \\(y + x = 2p - 1\\). Als we dat oplossen vinden we \\(2x = (y + x) - (y - x) = (2p - 1) - p = p - 1\\). We concluderen dat \\(4(p - 1) = 4x^2 = (2x)^2 = (p - 1)^2\\). Als kwadratische vergelijking in \\(p - 1\\) heeft dit de oplossingen \\(p - 1 = 0\\) en \\(p - 1 = 4\\). Alleen in het tweede geval is \\(p\\) een priemgetal, namelijk \\(p = 5\\). Dat geeft verder \\(x = (p-1)/2 = 2\\) en \\(y = p+x = 5+2 = 7\\). Deze voldoet. \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 3.", "solution_match": "\nOplossing."}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "Dutch_TST", "problem": "We zeggen dat een rij \\(a_1, \\dots, a_n\\) van reële getallen afnemend stijgend is als voor alle \\(1 < i < n\\) geldt dat \\(0 < a_{i+1} - a_i < a_i - a_{i-1}\\). Vind voor elk positief geheel getal \\(m\\) het kleinste positieve gehele getal \\(k\\) waarvoor er een afnemend stijgende rij bestaat van lengte \\(k\\) zo dat 1 op zijn minst op \\(m\\) verschillende manieren geschreven kan worden als het verschil van twee elementen \\(a_i\\) en \\(a_j\\) uit de rij.", "solution": "We bewijzen eerst dat \\(k \\ge 2m\\). We definiëren \\(b_i = a_{i+1} - a_i\\). Dan is \\(b_1, b_2, \\dots, b_{k-1}\\) een dalende rij positieve reële getallen. En elk van de manieren om 1 te schrijven is in deze schrijfwijze een som van opvolgende elementen in deze rij \\(b_j + b_{j+1} + \\dots + b_{j+t-1} = a_{j+t} - a_j = 1\\) met \\(1 \\le j\\), \\(1 \\le t\\) en \\(j + t \\le k\\). Geen twee van deze manieren kunnen op dezelfde plek beginnen, want hun verschil is dan de som van de laatste paar \\(b_i\\) van de langere reeks, in tegenspraak met dat het verschil \\(1 - 1 = 0\\) moet zijn. Ook geen twee van deze manieren kunnen even lang zijn. Sterker nog als we de manieren ordenen op \\(1 \\le j_1 < j_2 < \\dots < j_m\\), dan geldt \\(1 \\le t_1 < t_2 < \\dots < t_m\\) want de termen in de reeks beginnend met \\(j_h\\) zijn stuk voor stuk groter dan de termen van de manier beginnend met \\(j_{h+1}\\). Dit betekent dat \n\n\\[k \\ge j_m + t_m \\ge m + m = 2m.\\]\n\nNu construeren we een voorbeeld voor \\(k = 2m\\). We definiëren de laatste \\(m\\) termen van de rij \\(b_1, \\dots, b_{2m-1}\\) als \\(b_{m+i} = \\frac{2(m-1)-i}{\\frac{3}{2}m(m-1)}\\) voor \\(0 \\le i \\le m-1\\). Dan is dit duidelijk een dalende rij en geldt er dat \n\n\\[b_m + b_{m+1} + \\dots + b_{2m-1} = \\frac{1}{\\frac{3}{2}m(m-1)} \\left((2m-2) + (2m-3) + \\dots + m + (m-1)\\right) = 1.\\]\n\nNu definiëren recursief \\(b_{m-1}, \\dots, b_1\\) als \\(b_i = b_{2i} + b_{2i+1}\\). Dan vinden we in het bijzonder dat\n\\[b_{m-1} = b_{m+(m-2)} + b_{m+(m-1)} = \\frac{m}{\\frac{3}{2}m(m-1)} + \\frac{m-1}{\\frac{3}{2}m(m-1)} = \\frac{2m-1}{\\frac{3}{2}m(m-1)} > \\frac{2m-2}{\\frac{3}{2}m(m-1)} = b_m.\\]\n\nEn voor \\(i < m-1\\) geldt recursief dat \\(b_i > b_{i+1}\\), omdat deze uitdrukking equivalent is met \\(b_{2i} + b_{2i+1} > b_{2i+2} + b_{2i+3}\\). We concluderen we dat \\(b_1, \\dots, b_{2m-1}\\) een dalende rij is. We bewijzen nu met inductie naar \\(j\\) (aflopend) dat \n\n\\[b_j + b_{j+1} + \\dots + b_{2j-1} = 1\\]\n\nvoor alle \\(1 \\le j \\le m\\). Voor de inductiebasis nemen we \\(b_m + b_{m+1} + \\dots + b_{2m-1} = 1\\). Voor de inductiestap merken we op dat \\(b_{j-1} + b_j + \\dots + b_{2j-3} = b_j + b_{j+1} + \\dots + b_{2j-1}\\). Dus als de formule geldt voor \\(j\\) dan geldt die ook voor \\(j-1\\). \\(\\square\\)", "metadata": {"resource_path": "Dutch_TST/segmented/nl-2025-E2025_uitwerkingen.jsonl", "problem_match": "\nOpgave 4.", "solution_match": "\nOplossing I."}} diff --git a/EGMO/md/en-2025-solutions.md b/EGMO/md/en-2025-solutions.md index a85870fdb26a1710e3f0f4105885f732bb437c8e..22f05f3589cee18e20288b56562c83c8465762bb 100644 --- a/EGMO/md/en-2025-solutions.md +++ b/EGMO/md/en-2025-solutions.md @@ -177,7 +177,7 @@ and so points \(C^{\prime}\) , \(B^{\prime}\) , \(Q\) , \(H\) are concyclic. Ana which proves that \(P,Q,N,M\) are also concyclic. -![](data:image/jpeg;base64,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) +![md5:ed729686b0882a22087a6fc0e270efb8](ed729686b0882a22087a6fc0e270efb8.jpeg) Solution 1'. Introduce points \(B^{\prime}\) , \(C^{\prime}\) as above. Also define \(A^{\prime} = B^{\prime}E\cap C^{\prime}D\) , so that \(E A D A^{\prime}\) is a parallelogram and \(A D E\) is the medial triangle of \(A^{\prime}B^{\prime}C^{\prime}\) . It that follows that the orthocentre \(H\) of \(A D E\) is the circumcentre of \(A^{\prime}B^{\prime}C^{\prime}\) , and in particular @@ -194,7 +194,7 @@ Lemma. Let \(A^{\prime}\) be the reflection of \(A\) around the orthocentre \(H\ Proof. Since \(OM \parallel AA'\) we have \(\frac{AT}{TM} = \frac{AA'}{OM} = \frac{2AH}{OM} = \frac{4OM}{OM} = 4\) . We used here that \(AH = 2OM\) . \(\square\) -![](data:image/jpeg;base64,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) +![md5:33c928cfe95e89ef9ab049d5028e7524](33c928cfe95e89ef9ab049d5028e7524.jpeg) Solution 2'. As in solution 2, we will prove that \(O'\) is both on line \(HT\) and the radical axis of the circles, hence \(T\) is on the radical axis, from which we conclude the required concyclicity. We present alternative proofs of both facts, discovered by contestants. @@ -208,7 +208,7 @@ Now, let \(M_{2}\) , \(N_{2}\) be the second intersection points of \(O'M\) , \( from which it follows that \(M_{2}H \parallel MN\) . Similarly, we have \(N_{2}H \parallel MN\) , and the two facts together imply that \(M_{2}, H, N_{2}\) are collinear and the line through them is parallel to \(MN\) , as claimed. \(\square\) -![](data:image/jpeg;base64,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) +![md5:a1349e2b0d6dbddf473be279a244f481](a1349e2b0d6dbddf473be279a244f481.jpeg) Solution 3. We compute using linear combinations with respect to \(A D E\) . We have \(B = 2D - E\) \(C = 2E - D\) \(M = \frac{A + D}{2}\) , and \(N = \frac{A + E}{2}\) , from which we immediately obtain that the intersection of \(T = B M\cap C N\) is \(T = \frac{3A + D + E}{5} = \frac{6M - B}{5} = \frac{6N - C}{5}\) . As in solution 2, we reduce to showing that \(T\) is on the radical axis of \(H D M\) and \(H E N\) , whence \(T M\cdot T P = T N\cdot T Q\) proves the concyclicity of \(P,Q,N,M\) @@ -241,7 +241,7 @@ We also have the standard \(FD = \sin \gamma \cos \beta\) and \(EF = \sin \beta \[f(L) = LD\cdot LD^{\prime} - LE\cdot LE^{\prime} = \frac{\sin\alpha}{2} (LD^{\prime} + LE^{\prime}) = \frac{\sin\alpha}{2} (FD^{\prime} + FE^{\prime} - FD - FE)\] \[\qquad = \frac{\sin\alpha}{4\cos\alpha} (\cos \gamma \sin (\beta -\alpha) - \cos \beta \sin (\gamma -\alpha) - 2\cos \alpha (\sin \gamma \cos \beta -\sin \beta \cos \gamma))\] \[\qquad = \frac{3\sin\alpha\sin(\beta - \gamma)}{4} = \frac{3}{4} (\sin (\beta +\gamma)\sin (\beta -\gamma)) = \frac{3}{8} (\cos (2\gamma) - \cos (2\beta))\] \[\qquad = \frac{3}{4} (\sin^{2}(\beta) - \sin^{2}(\gamma)) = -\frac{3}{2} f(A).\quad \square\] -![](data:image/jpeg;base64,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) +![md5:74efbddd0a29cbc1175d0f3b5702823a](74efbddd0a29cbc1175d0f3b5702823a.jpeg) Solution 4. Let \(T = BM\cap CN\) , let \(F\) be the foot of the altitude from \(A\) to \(BC\) , let \(O\) be the circumcentre of \((ADE)\) , let \(D^{\prime}\neq D\) and \(E^{\prime}\neq E\) be the second intersections of \((DHMP)\) and \((EHNQ)\) with line \(BC\) and let \(U\) and \(V\) be the antipodes of \(D\) and \(E\) on \((DHMP)\) and \((EHNQ)\) , respectively. @@ -336,7 +336,7 @@ P4. Let \(A B C\) be an acute triangle with incentre \(I\) and \(A B \neq A C\) Solution 1. We will prove that \(\triangle B I R\sim \triangle C I S\) , since the statement then follows from \(\angle T R I = \angle B R I = \angle C S I =\) \(\angle T S I\) . -![](data:image/jpeg;base64,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) +![md5:fde912fbdc79cac01c462235f3a9f56d](fde912fbdc79cac01c462235f3a9f56d.jpeg) Step 1. Let us prove \(\angle R B I = \angle S C I\) . We will use directed angles: @@ -394,7 +394,7 @@ Remark. As shown above, \(E\) lies on \(Q P\) and \(A I\perp P Q\) . One can pro Lemma. Let \(A B C D\) is a cyclic quadrilateral and \(E\) is the intersection of its diagonals. Then the midpoints of \(A B\) , \(B C\) , \(C D\) and the foot of the perpendicular from \(E\) to \(B C\) are concyclic. -![](data:image/jpeg;base64,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) +![md5:17c822e365e079d4dd97dbebf5fb270d](17c822e365e079d4dd97dbebf5fb270d.jpeg) Solution 5. Let \(O\) be the circumcenter of \((A B C)\) . Let \(M\) , \(N\) , and \(L\) be the midpoints of \(O D\) , \(P C\) , and \(Q B\) respectively. @@ -422,27 +422,27 @@ This means that \(R T I S\) is cyclic with center \(K\) . Remark. When \(K\) and \(T\) are on the same side of \(R S\) , it can be shown that \(\angle R K S = 2\angle R T S\) . -![](data:image/jpeg;base64,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) +![md5:475715ec425df4654345ac12f68d35c0](475715ec425df4654345ac12f68d35c0.jpeg) Solution 6. As shown above, we have that \(BTIC\) is cyclic. Let \(D\) and \(E\) be the second intersections of \(AC\) and \(AB\) with this circle, respectively. Since the center of this circle lies on \(AI\) (by symmetry about \(AI\) ), we have that \(AB = AD\) and \(AC = AE\) , therefore \(BE = CD\) . Note that since \(C - I - Q\) and \(A - B - E\) are collinear, by Reim's theorem we have that \(AQ \parallel EI\) and since \(AQ \parallel BT\) , we have that \(BT \parallel EI\) . Similarly, we get \(CT \parallel DI\) . Let \(F\) and \(G\) be the intersections of \(ID\) and \(IE\) with \(PS\) and \(QR\) , respectively. Clearly, \(RGEB\) and \(FSCD\) are parallelograms. Since \(RGEB\) is parallelogram and \(BEIT\) is isosceles trapezoid, we have that \(RGIT\) is isosceles trapezoid. Similarly, \(SFIT\) is isosceles trapezoid. Hence, both of them are cyclic. Note also that \(QR = AB = AD = PF\) and \(QG = AE = AC = PS\) . Since \(QR\) and \(PS\) are tangents to the circumcircle of \(\triangle ABC\) we have that \(R\) and \(F\) are symmetric (reflections) about the perpendicular bisector of \(PQ\) . Similarly, \(G\) and \(S\) are symmetric about the perpendicular bisector of \(PQ\) . This gives us that \(QP \parallel RF \parallel GS\) and that \(RFSG\) is an isosceles trapezoid, hence a cyclic quadrilateral with \(\angle RGS = 180^{\circ} - \angle GQP = 180^{\circ} - \angle QAP = 180^{\circ} - \angle RTS \Rightarrow R, G, S, T\) are concyclic. Combining all the facts about the cyclic quadrilaterals we proved above, we have that \(R, G, S, F, I, T\) are concyclic. Therefore \(R, T, I, S\) lie on a circle. -![](data:image/jpeg;base64,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) +![md5:eecb68b2c8a14a8f09cb4dd29102e21f](eecb68b2c8a14a8f09cb4dd29102e21f.jpeg) Solution 7. Let \(E\) be the \(A\) - excenter of \(\triangle ABC\) . Let the midpoints of \(AQ, QB, CP, PA\) be the points \(F, G, H, J\) , respectively. Both \(PD\) and \(EC\) are perpendicular to \(CI\) , hence \(PD \parallel CE\) . Since \(PA = PC\) we have that \(AJHC\) is an isosceles trapezoid so it is cyclic. Let \(K\) be the second intersection of \((AJHC)\) and \(AI\) . Then \(\angle ADP = \angle ACP = \angle ACH = \angle AKH \Rightarrow DP \parallel KH\) . So \(KH\) is a line passing through the midpoint of the side \(CP\) of trapezoid \(DPCE\) and parallel to the bases, hence \(K\) is the midpoint of \(DE\) . Similarly, we show that the circle \((AFGB)\) passes through the midpoint of \(DE\) . Homothety centered at \(A\) with scale- factor 2 maps \((AJH)\) to \((APS)\) , \((AFG)\) to \((AQR)\) , and line \(AI\) to line \(AI\) . This means that the circles \((AQR)\) and \((APS)\) intersect on \(AI\) , call it point \(L\) . -![](data:image/jpeg;base64,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) +![md5:9e3f4eae8a85d6f55293984efee47f24](9e3f4eae8a85d6f55293984efee47f24.jpeg) Now, \(\angle I L R = 180^{\circ} - \angle A Q R = \angle Q A B = \angle Q C B = 180^{\circ} - \angle I T B = 180^{\circ} - \angle I T R\) , therefore \(R,L,I,T\) are concyclic. Similarly, we get that \(S,L,T,I\) are concyclic. Combining these, it means that \(R\) and \(S\) belong to the circle \((L I T)\) . The conclusion follows. -![](data:image/jpeg;base64,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) +![md5:94d8549749b3f283915bfb6e310b329a](94d8549749b3f283915bfb6e310b329a.jpeg) @@ -467,7 +467,7 @@ Let \((i,j)\) denote the cell in row \(i\) and column \(j\) . Consider the follo \[\begin{array}{r l} & {(1,1)\rightarrow (1,2)\rightarrow (1,3)\rightarrow \ldots \rightarrow (1,n)}\\ & {\qquad \rightarrow (2,n)\rightarrow (2,n - 1)\rightarrow \ldots \rightarrow (2,2)}\\ & {\qquad \ldots}\\ & {\qquad \rightarrow (2i - 1,2)\rightarrow (2i - 1,3)\rightarrow \ldots \rightarrow (2i - 1,n)}\\ & {\qquad \rightarrow (2i,n)\rightarrow (2i,n - 1)\rightarrow \ldots \rightarrow (2i,2)}\\ & {\qquad \ldots}\\ & {\qquad \rightarrow (n,n)\rightarrow (n,n - 1)\rightarrow \ldots \rightarrow (n,2)}\\ & {\qquad \rightarrow (n,1)\rightarrow (n - 1,1)\rightarrow \ldots \rightarrow (2,1)\rightarrow (1,1).} \end{array} \quad (1,1)\] -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAEEAQYDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2vWWmLWEMVxLAJrkI7RY3Y2sccg9wKU6TIBk6vqH/AH2n/wATRq3/AB9aV/19j/0W9eV/EnUry58XNpkkzJawxK0URUGNiRkswzz6Z7etAHqn9kyf9BbUf++0/wDiao61ZXNloWoXUOr6gJYbaSRCWQ4YKSP4favOPCHjL/hH5IVujO2n3KA+QgLmFsZyo7D1A+tbF347W+0vUY9kzw3yXEaGVSghAjICqNuSeVJ3YHJweMU0m9hqLeiO9/siT/oLaj/32n/xNH9kSf8AQW1H/vtP/iazL/x7oem301ncSziaFtrhYWIz9aut4o0xIdMlLy7dSbbb/uzyeOvp1HWq9nLsX7GorOz1Jv7Ik/6C2o/99p/8TVHRrG5vNFsrmbV9QMksKuxDIOSP92o9R8d6JpeoTWV1JOJojhgsLEdM9aZo/iGwsfC2iSTNIFuVWGPCE/MOOfTpR7OW9g9jUsnZ6mr/AGRJ/wBBbUf++0/+Jo/siT/oLaj/AN9p/wDE1nan450TSb+SyupJxNH94LCzD8xVj/hLdK/su01HfL9nu5fJiPlHJbJHI7dKPZy3sHsalk7PUjsbG5nu9QjfV9QKwzhE+dOBsU/3fUmrv9kSf9BbUf8AvtP/AImsGbxfpOg63qlrfSSrK06uAkRYY8tB2+lag8XaS2lQ6iHl+zzS+Sh8o53fSj2crXsHsalk7PUtf2RJ/wBBbUf++0/+JqkLG5/txrX+19Q8oWwkxuTruI/u03VvGujaLfNZ3kkwmVQxCwswwRkcis8eMdI+2/2t5k32RoFhB8o53b27daPZytewexqWTs9Tf/siT/oLaj/32n/xNH9kSf8AQW1H/vtP/iap6x4y0jQr0Wl7JMspQOAkRYYOe4+lA8ZaQ2iNq4km+yLJ5RPlHO76daPZytewexqWTtuJqFjc28lmI9X1ACWdUbLp0Of9mrv9kSf9BbUf++0/+JrG8T+KdM0y706K5eUNvS4+WMn5OauxeMNIm0OfWEkm+yQyCJyYjnccduv8Qo9nK17B7GpZO25c/siT/oLaj/32n/xNUtYsbmz0a8uYdX1ASRRMykuh5A/3aNU8ZaRpBtxdyTD7RGJU2xM3yn6VT1DxRpmreDtWvLV5TFFGY2LRlTuI44P1o9nK17B7Gpa9tDZ/siT/AKC2o/8Afaf/ABNH9kSf9BbUf++0/wDiap6n4y0jSUtWupJgLmMSx7YmbK++OlFp4y0i90271CGSYwWmPNJiYEZ9B36Uezla9g9jUte2hc/siT/oLaj/AN9p/wDE1S0ixubvTIp5dX1AuxcEhk7MR/d9qNR8ZaRpdvazXMkwS6j8yLbExyPf0ql4b8U6ZL4dnmV5dlluab92eAWJGPWj2crXsHsalr20Nr+yJP8AoLaj/wB9p/8AE0f2RJ/0FtR/77T/AOJqnf8AjHSNNsrG7uJJhFeoXhKxMSQMdR2+8KSw8ZaRqVpd3NvJMY7RN8u6JgQPb1o9nK17B7Gpa9tBLCyuZ7zVI5NX1Arb3Sxx/MnCmGNv7vqxq9/ZEn/QW1H/AL7T/wCJrn7bxhpFiuoahPJMLe7vQYiIiScW8PUdq1NN8Y6RqsF5NayTFLOIyy7omGFAJ49eho9nK17B7Gpa9tC5/ZEn/QW1H/vtP/iaomxuf7dFr/a+oeUbYyY3J13Y/u0648Y6RbaPa6rJJMLW5YrGRExJIJByO3Q1R0vxRpms67Pc2bymO3siZN0ZU/ezxnrR7OVr2D2NS17aG1/ZEn/QW1H/AL7T/wCJo/siT/oLaj/32n/xNUpvGWkQaNDqryTfZZnKIREc5HtWjo2sWmu6cl9ZMxhYlQWXByDg8UnCSV2hOnOKu1oc74tF9o+lRXFpq98JGnCHcyHjax/u+woqX4g/8gCD/r6X/wBBeipINjWF3XGlrkjN3jI6/wCreuavvhdpeoTvLPfXshfr5j7z9MntXQ68JzJpgtmjWX7WMGRSV+4/YEVL5euf8/Fh/wB+X/8AiqAOD0j4Xsl9qAvLiSO3EmLV0ILMmT97PTtXRXHhqw0HwZrEUCmV2tppGllALFvLI/DgCqvhyG6XWtdNlqsE85uP9JjlhfbE2W4X5unX8q0fEUetf8Izqu+4sSv2OXIEL5xsP+1VT0ZpUVpG+9nayOXe2hZj1JQEmn/Z4SEHkx4j+4No+X6elUPL1z/n4sP+/L//ABVHl65/z8WH/fl//iqm5F2XXs7WRy720LMepZASazvD0ET+GtMDRIwWBCMqDg461J5euf8APxYf9+X/APiqzfD0etf8I7p+y4sQvkJjML56f71Fwuzfe0tpXLyW8TsepZATS/ZoNip5EexTlV2DAPtVHy9c/wCfiw/78v8A/FUeXrn/AD8WH/fl/wD4qncLsisLa3m1LVmlgidvtKjLICf9Ulaf2a38sR+RHsByF2DANc/psetfb9V23Fjn7Sucwv18tP8AarS8vXP+fiw/78v/APFUrhdl2S0tpW3SW8Tt6sgJrNFrb/8ACRtF5EXl/ZFO3YMZ3ntUvl65/wA/Fh/35f8A+KrNEetf8JI3+kWO77IP+WL4xvP+1RcLs6CS1t5m3SwRO2MZZATR9lt/K8ryIvLznbsGM/SqPl65/wA/Fh/35f8A+Ko8vXP+fiw/78v/APFUXC7I9Zt4JJtOLwxsftKr8yg8c8VpC1txEYhBEIyclNgwT9K5/VY9a82w3XFj/wAfK4xC/Xn/AGq0vL1z/n4sP+/L/wDxVFwuy89rby48yCJ9owNyA4FZuv28EfhrUljhjVTAxIVQATipPL1z/n4sP+/L/wDxVZuvx61/wj9/vuLEr5DZxC+en+9RcLs6B7W3kCiSCJ9owNyA4FC2tuiMiwRKjfeUIAD9ao+Xrn/PxYf9+X/+Ko8vXP8An4sP+/L/APxVFwuy69rbyKoeCJgowoZAcfSs3w9bwDQ4wIYwHZ9w2jn5261L5euf8/Fh/wB+X/8AiqzdBj1r+xodlxYhdz9YX/vt/tUXC7Oge1t5FVXgiZUGFBQED6UJa28asqQRKrDDAIBn61R8vXP+fiw/78v/APFUeXrn/PxYf9+X/wDiqLhdkOmWtu99rSNBEyLertUoCB/o8PStRLW3jDBIIlDDDBUAyPeue0uPWv7Q1rbcWOfti7swv18iHp83pitPy9c/5+LD/vy//wAVRcLsvG1t2jWNoIii9FKDA/CsxLeGLxPtjhjQNZHIVQM/PUvl65/z8WH/AH5f/wCKrNMetf8ACSr/AKRY7vsZ/wCWL4xv/wB6i4XZs3tjFPps9skEXzRsEXaMAkGsvwXpN1onhmCxvFVZ0dyQpyOWJFTXkesmxuPNu7FY/LbcywvkDHJHzVleEYb1fD0I03U7a6tt77ZZoX3E7jn+L1q03yNGib9k10uv1H/EH/kAQf8AX0v/AKC9FUPHaasNDh86ezK/aVxsiYHO1vVqKgyOo1b/AI+tK/6+x/6LetOszVv+PrSv+vsf+i3rToA5Xwto19puv+Irq7hCQ3lz5kDbwdy5Y5wDx1HWtbxL/wAitq//AF5Tf+gGqXh/7J/bGt/Z9Tnu5PP/AHsMhO2A5b5V9uv5Vd8S/wDIrav/ANeU3/oBq6jblqa1m3O78vyNSqdzq+m2c/k3WoWkEuM7JZlVseuCauV57q3h+HWfieq39lJNYmzBLfMF3DOORRTipN3CjCM2+Z2SVztxqunG1NyL+1NuDtMvnLtB9M5xmsvRNU0+z8PaYl1f2sDtaowWWZVJGOvJ6VIvhLRF0ltLFkPsTP5hj8xvveuc5rMsPCeia1oelXGoWQmljs441bzGGFAyBwfc0e5fqCVK+rdjo11XTmtmuVv7U26na0omXaD6E5xRcapp9rs+0X9rDvXcvmTKu4eoyeRWfH4S0SLSZdLSyAs5XDvH5jcsO+c57UupeEtE1YwG+shKYIxHH+8YbVHbg0e5fqCVK+7sN0vUbEy6xdi8tzbC5XM3mrsH7tB1zjrWjNqunWyxtPf2sSyrujLzKu8eoyeRWDpXhrSVttZ0gWg+wvcrui3tzhEbrnPWr1/4S0TU47WO8shItrGIoR5jDaoxxweego9y/ULUr7uxoR6pp80Ek8V/avDF/rJFmUqn1OeKzZdSsbfxCs817bxRSWY2SPKoVvnPQk80+18J6JZaddWFvZBLa6x5yeYx3Y985FZ974Y0jUdXgsbq0Elta2Y8lN7Db8xHUHPaj3L9QtSvu7G/FqunTxSyw39rJHEMyOkykIPcg8US6rp0EUcs1/axxyjMbPMoDj2JPNZ9n4S0Sws7u0trIJBdqFnXzGO8DPqeOp6UXnhLRL+0tbW5sg8NqpWFfMYbQfoeaPcv1C1K+7sM1HVdOuGsnhv7WRI7lS7JMpCjnk4PFacmq6dDDHNLf2qRS/6t2mUK/wBDnmucufCWiactvBa2QjjubhUlXzGO4c+prTuvCWiXtha2NxZB7e1BEKeYw2568g89KPcv1C1K+7saEOq6dcrI0F/ayiNdzlJlbaPU4PArO8RajY/8Ivdy/bLfy5oXWJ/NXDnB4U55/ClsPCWiaZHcx2lkI1uY/LlHmMdy+nJql4h8N6SPCEloLQeRZRvJbrvb5GweevPXvR7l+oWpX3djdg1XTrrf9nv7WXy13P5cyttHqcHgUNqunJapdNf2ot3O1ZTMuxj6A5x2rP07wlomlCcWVkIvtEZil/eMdyntyaWTwlok2kQ6U9kDZQuZI4/MbhjnnOc9zR7l+oNUr7uxft9U0+8Zktr+1nZV3MIplYgepwelZuh6jYw+HoJ5b23SLe6+Y0qhc7zxnNP0zwnomjTSy2FkIXkjMbnzGOVPbk+1UNI8M6ReeFYLG4tA9sJXfZvYfNuIznOego9y/UGqV93Y3rfVdOvJDHbX9rPIBuKxTKxx64BoOqaeLX7Sb+1+z7tvm+cu3PpnOM1n6X4R0TRro3NhZCGZkKFvMY/Keo5PtSnwnojaSdLNkPsZl83y/Mb73rnOaPcv1BqlfRuxHompWFxqmspDe20jSXauipKpLKIIgSMHkZB/I1pnVNPFu1wb628lW2tJ5q7QfQnOM1z3h3wvo+nazqk1rZiOS3uBDGd7HahgjYjk+rN+daZ8K6K2mSacbMfZJJfNePe3Leuc5ofJfS4NUr6N2Ltvq+m3cwhttQtJpT0SOZWJ/AGs06nYf8JA1x9utvJjtCryeau1W3jgnOAeRS6b4O0HSL1LyxsRFOgIV/MY4z16mqH/AAi2jDVZ9O+xj7Jc25llj3t8zeYDnOc9hQ+S+lwapX0bsbE+p6fqFpcWtpqFpPPLE6pHHOpJJB96zvAdjNp3hSC1uNnmpJJuCSK4HznupIqWx8E+H9Ouhc2lh5UyggMJXyMjB71q6dptrpVoLWzQpEGLYLFuScnk89ablFR5YlSnBQcIX6b/ADOe+IP/ACAIP+vpf/QXoo+IP/IAg/6+l/8AQXorMwNTXpXgfTJI7eS4YXYxHEVDH5H6biB+tSf2ref9C/qX/fy3/wDjtLq3/H1pX/X2P/Rb1p0AcL4at9W0rXNfu59DvWjvrjzIwjw5Ayx5zIB3HTNaniLU7xvDOqqdC1BAbOYFme3wPkPJxLmp9BNv/a+s+Tq8t6/n/vIHzi2OW+UZ/wA8Vb8S/wDIrav/ANeU3/oBq6jblqa1m3O78vyD+1bz/oX9S/7+W/8A8drHOpa7/wAJSHFhdf2f5ODZ+ZbeZu/vf6zp+NdZXEtBN/wt1J/KfyvsOPM2nbnnjNEFe/oFKN+b0Z0X9q3n/Qv6l/38t/8A47Wb4e1O8Xw7p6jQtQcCBPmD2+Dx7y101Zfhz/kW9N/690/lUGQf2ref9C/qX/fy3/8AjtH9q3n/AEL+pf8Afy3/APjtalFAHM6bqd4L/VSNC1A5uQSA9vx+7T/prWl/at5/0L+pf9/Lf/47S6Z/yENX/wCvpf8A0UladAGX/at5/wBC/qX/AH8t/wD47WcNTvP+EkZv7C1DP2QDbvt8/fPP+txXS1mD/kZ2/wCvNf8A0M0AJ/at5/0L+pf9/Lf/AOO0f2ref9C/qX/fy3/+O1qUUAc1qup3hlsM6FqC4uVPL2/PXj/W1o/2ref9C/qX/fy3/wDjtLq3+t07/r6X+RrToAy/7VvP+hf1L/v5b/8Ax2s7X9TvG8P36nQtQUGBvmL2+Bx7S10tZniL/kXNR/693/lQAn9q3n/Qv6l/38t//jtH9q3n/Qv6l/38t/8A47WpRQBl/wBq3n/Qv6l/38t//jtZug6neLo0IGhagw3PyHt8ffb1lrpu1Znh/wD5AkH+9J/6G1ACf2ref9C/qX/fy3/+O0f2ref9C/qX/fy3/wDjtalFAHMaZqd2NQ1ojQtQbN4pID2/y/uIeD+9/Hj1rT/tW8/6F/Uv+/lv/wDHaNK/5COuf9fq/wDpPDWpQBl/2ref9C/qX/fy3/8AjtZp1O8/4SVW/sLUM/YyNu+3z9/r/rcV01Zh/wCRoX/ryP8A6HQAn9q3n/Qv6l/38t//AI7R/at5/wBC/qX/AH8t/wD47WpRQBwfjvUbqXQ4VfRr6EfaVO53gIPytx8shorQ+IP/ACAIP+vpf/QXooA2dW/4+tK/6+x/6LetOsfXriO1fTJpS2xbsZ2oWP3H7AE1L/wkGn/3rn/wEl/+JoAw/CWm3ll4j8TT3NvJFFc3W+FmGA43PyPzFbfiX/kVtX/68pv/AEA1k6Tqtjb6jqcjazPeiWXcIBBI32bk/LgLx17+lSeItdsH8M6qitcZazmAzayj+A/7NXUd5GtaTlO78vyOmrmNe8ISa3qX2xdavbMbAvlQnC8d+tan/CQaf/euf/ASX/4mj/hINP8A71z/AOAkv/xNKMnF3RMJyg7xMtfCEi+H30r+2r4s0vmfaS3zj269KzYfCUmt6NpFwus3tmI7GOLZA2A2MnceevP6V03/AAkGn/3rn/wEl/8AiazPD2vWCeHdPVmuMiBAcWsp7f7tP2kr3KVead7iQ+EZIvD8+l/21fM0sgf7SW+dcY4HPTil1nwjJq5tSutXtr5EQjPktjfj+I89a0/+Eg0/+9c/+Akv/wATR/wkGn/3rn/wEl/+Jo9pK9w9vNO9zA0nw066Vrej/wBq3ZZ7lf8ASif3gwqN6/hVvVvCMmqQ2Ma61fW32WERFomwZMAfM3PXinabr1gt/qpLXGGuVI/0WX/nmn+zWl/wkGn/AN65/wDASX/4mj2kr3uHt53vczLHwlJZaPfWB1q9mN1jEzt88WP7vNUdT8LvqWo2lgurXlubWzGZo2+aT5iPm5rof+Eg0/8AvXP/AICS/wDxNZo16w/4SRn3XGPsgH/HrL/fP+zR7SV7h7ed+a43TvCMmn6bqFodavpzeIFEsjfNFjPK8+/6Uaj4Rk1DT7C1GtX0BtEKmSNvmlzjlua1P+Eg0/8AvXP/AICS/wDxNH/CQaf/AHrn/wABJf8A4mj2kr3D29S/NfU5h/CEmnQxwNrV9cG5nRA8jcx9eRzWpf8AhGS+0mwsRrV9CbQEGZG+aXOPvc+1LquvWDS2GGuOLlSf9Fl9/wDZrS/4SDT/AO9c/wDgJL/8TR7SV73D287819TL0nwhJpkN7G2tX1z9piMQaVsmP/aHPWqniHw048Fraf2rd5skeQy5+abrw3PTmt//AISDT/71z/4CS/8AxNZuv69YP4fv1VrjJgYDNrKO3+7R7SV7h7ed73G6P4Rk0kXYbWr66+0QmIea2dmf4hz1pZ/CMk3h620r+2r1GhkMn2kN875zweenP6Vp/wDCQaf/AHrn/wABJf8A4mj/AISDT/71z/4CS/8AxNHtJXvcHXm3e5maH4Sk0W4nmbWb27EsRj2zNkLnHI568VS03wy974Ot7AatdwkTO/nI3zfeIx16cVv/APCQaf8A3rn/AMBJf/iaztB16wTRoVZrjO5+lrKf42/2aPaSvcHXm3e43QvCEmi37XLa1fXYaMx+XM2VGcc9evFK3hKRvD50r+2r0MZ/N+07vn/3evStP/hINP8A71z/AOAkv/xNH/CQaf8A3rn/AMBJf/iaPaSbvcHXm3e5znhfwtJp2uajOdXvJxbzeSUkbh8wxtuPPUbsfgK0m8KSNok2nf2xehpJ/N8/d86/7I56U3TNdsF1DWiWuMNeKR/osv8AzwhH932rT/4SDT/71z/4CS//ABNDqSbvcHXm3dsyNF8GyaPqcd42uX90EBHlTNlTkfWqf/CKyC9u9O/ti83XMJmE+754/wB4p2jnpx+tdH/wkGn/AN65/wDASX/4msw69Yf8JKr7rjH2Mj/j1l/v/wC7Q6km73B15t3bKEPgybRxNff2/qFx5UMhEcjfKflPvVv4dTSz+DreWeV5XaSTLOxJ++e5rSufEFh9ll2LcSNsOENpLhjjp92s/wAPeILb+x4/tNhLp8u5s28drLheTzwvfrVOblF3LlVlOm+be6/Uj+IP/IAg/wCvpf8A0F6KoeO9Zsp9DhWMz5Fyp+a2kX+FvVaKyOc6jVv+PrSv+vsf+i3rTrM1b/j60r/r7H/ot606AOP8Iafd2niTxPNcW8kcVxd7omYYDjc/I/MVueJf+RW1f/rym/8AQDUGiqw1TVi2uJqAM3FupGbXlvlPJ+nbpU/iX/kVtX/68pv/AEA1dR3lc1rS5p3fl+RqUUVweu6t4lk8bjRNFu7aFTbiUCdAR784JohBydkKnTdR2Tsd5WX4c/5FvTf+vdP5VnLbeL/7AeNr2w/tXzcrIAfL2en3ev4VmQW3i6XRtIOiXthDbiyjEizgkl+ckfKeMYo5NbXQ1S1tzI7iiuaitvF40CeOW9sDqpkBikAPlhOMg/L169qNZtvF0htv7IvbCICICfzgfmfuR8p4o5NbXQey1tzI0tM/5CGr/wDXyv8A6KStOuO0mDxN/ZetRNd2f9sG5XZKB+7HyJn+H+77dauarbeL5IbIaXe2EciwgXRlBw0mBkr8p46+lHJra6D2WtuZHS1mD/kZ2/681/8AQzWdY23i5dIvkvb2wfUGx9ldAdi+u75f6GqGpW/ih9RtE027so79bMfanlHyN8x+78p757Cjk1tdB7LW3Mjs6K5rTrbxemnaguoXtg94yD7I0YO1G5zu+Ue3rRqNt4vewsV0+9sEu1Q/amkB2s3bb8p9/Sjk1tdB7LW3MjS1b/W6d/19L/I1p1w8lt4vSKMaje2Ek7ToLZogcK3PLfKOPzrTv7bxc+lWKWN7YJfKD9reQHYx4xt+U+/YUcmtroPZa25kdLWZ4i/5FzUf+vd/5Vm6VbeL44b0ape2EkjREWxiBwr+rfKOPzqn4hg8Tf8ACGBTd2f2tEc3rY+V054X5evT0o5NbXQey1tzI7Giua0i28Xxi7/ta9sJS0RFv5IPyydiflHFE1t4uPh+3jhvbAasJCZpWB8spzgD5evTtRya2ug9lrbmR0vaszw//wAgSH/ek/8AQ2rO0S28XRXEx1q9sJoTEREIAQQ/GCflHHWqOmQeJ28HW6WV3ZJf+c5LuPk2bjx93rnPajk1tdA6WtuZHZUVzWh23i+K+ZtavbCa18shVgBDb+MH7o460rW3i7+wDGt7Yf2r52fMwfL8v0+71/Cjk1tdA6VnbmRoaV/yEdc/6/V/9J4a1K4rwxb+KU1vUjqN5YyQCbFwIhy0vkx7SPlHG3Z+RrSa38Wf2LMi3tj/AGkZsxyEfII/Q/L1/Chw1tdA6VnbmR0dZZ/5Ghf+vM/+h1l6Na+M49SjbWL7TpbIA70hB3E44/hHf3ql9n8VfbrpDeWP9pNCTbSY+RY/MXhvl64z2NDhZ2ugdKztzI6zUWZNMu3RirLC5BBwQdprB+H93cXvhC2nup5Z5jJIDJK5Zjhzjk1Dp1n41F4P7VvdMnsyrB40BBbjgfcHFbPh+xudO0pbe6S1SQO522wwgBYkdh29qppRi1e5ckoU3G6eq2+Zj/EH/kAQf9fS/wDoL0UfEH/kAQf9fS/+gvRWRzmzqxxdaVn/AJ+x/wCgPWluX+8PzrI123hupNMhniSWNrsZRxkH5Hqb/hH9H/6Blr/36FAHPeD7S4tvEvimWeF445rvdGzDAcbn5H5it7xKy/8ACLavyP8Ajym7/wCwaydG8OWK6nqpnewvIzN+6hSNc24yflP6flU/iLQdJj8M6q6adbKy2cxBEY4Ow1dR3lc1rS5p39PyOj3L/eH51zTDSf8AhYCsVuP7T+y8N/yy2f41qf8ACP6P/wBAy1/79CuXaKyHxFTRv7MsPsptPNz5A3Z+tEE9bdgpJvmt2Z3O5f7w/Osvw4y/8I3pvI/4907+1P8A+Ef0f/oGWv8A36FZvh7QdJfw7p7Np1szG3QkmMc8VBkdHuX+8Pzo3L/eH51nf8I/o/8A0DLX/v0KP+Ef0f8A6Blr/wB+hQA3TGX+0NX5H/Hyvf8A6ZJWnuX+8PzrnNN0HSWv9VB062IW5UD92OP3aVpf8I/o/wD0DLX/AL9CgDR3L/eH51mBl/4SduR/x5r3/wBs07/hH9H/AOgZa/8AfoVnDQdJ/wCEkZP7Ottv2QHHljrvNAHRbl/vD86Ny/3h+dZ3/CP6P/0DLX/v0KP+Ef0f/oGWv/foUAN1Zl83TuR/x9L39jWnuX+8PzrndV0HSVlsNunWwzcqDiMcjmtH/hH9H/6Blr/36FAGjuX+8PzrM8RMv/COajyP+Pd+/tTv+Ef0f/oGWv8A36FZ2v6DpKeH9QZdOtgwgYgiMccUAdFuX+8Pzo3L/eH51nf8I/o//QMtf+/Qo/4R/R/+gZa/9+hQBo7lx94fnWZ4fZf7Eh5H3pO/+21O/wCEf0f/AKBlr/36FZug6DpL6NCzadbEln5MY/vtQB0e5f7w/Ojcv94fnWd/wj+j/wDQMtf+/Qo/4R/R/wDoGWv/AH6FADNKZf7R1zkf8fq9/wDp3hrU3L/eH51zel6DpLahrQbTrYhbxQoMY4H2eE/zJrT/AOEf0f8A6Blr/wB+hQBo7l/vD86yyy/8JQvI/wCPM9/9un/8I/o//QMtf+/QrNOg6T/wkyp/Z1tt+xk48sdd9AHR7l/vD86Ny/3h+dZ3/CP6P/0DLX/v0KP+Ef0f/oGWv/foUAYnxBYf2DByP+Ppf/QXoql480XTINDgaKwt0Y3KjKxgcbWooA6fVv8Aj60r/r7H/ot606zNW/4+tK/6+x/6LetOgDi/BtrcW/ibxVJNBLGkt3ujZ0IDjc/IJ69a6DxL/wAitq//AF5Tf+gGo9IGpDUtUN7qNvdQGX/R4ogN0K5PytgDnp1z0qTxL/yK2r/9eU3/AKAauo7yua1pc07+n5GpXC6613p3jQapZ6Hd3sotxH5iNhMHtj1ruqKUJcrFTqcjva5zS+INWbQHvjoM4uhLsFrn5iv96s2DX9V0zRtJistCmvY3so3aRDwrHPy/oPzrt6y/Dn/It6b/ANe6fyp80b7DU43vy/mZ0XiDVn0Ge+bQZ1uo5Aq2pPzOOOaXWPEGraebYWmhT3fmxB32H/Vt/dNdJRRzRvsHPG9+X8zjtJ1rUm0zWtQOjyi7W5XFpn5j8iD+XNXNV8QatYw2T22gz3TTwiSVVP8AqmwPlP51paZ/yENX/wCvpf8A0UladHNG+wc8b35fzObsdf1W50i+u5tCmhngx5UDHmX6VR1LW9Ts9StLq30aa5nnsx5sCnmL5j1rsqzB/wAjO3/Xmv8A6GaOaN9g543vy/mZun+INWu9Ov7ifQp7eW3QNFEx5mPPA/IfnRqHiDVrSwsZ4NBnuJZ0LSxKeYj6Guloo5o3vYOeN78v5nDyeINWvIo5bjQZ7aSCdGjRjzKeeBWpfeINWttKsbqHQp555wTLAp5ixjrWjq3+t07/AK+l/ka06OaN72Dnje/L+ZzWl+INWvobx7nQZ7VoIi8asf8AWt/dFVPEOtakfBguP7Hl825R0mizzAOeT+VdhWZ4i/5FzUf+vd/5Uc0b7Bzxvfl/MzdI8Qatfi6+1aFPaGKIvHvP+sb+6KWbxBq0egW9+mhTvdSSFHtQfmQc8/oPzrpKKOaN9g543vy/mc3omv6rqVxNHeaFNZIkRdXc/ebj5ao6ZrepW3g+3uodGmmnMzr5APONxOf6V2Xaszw//wAgSD/ek/8AQ2o5o32Bzje/L+Zm6J4g1bUr5oLzQZ7KIRlhI54JGOKVvEGqjQTfDQpjded5f2XPzbf71dJRRzRvsDnG9+X8zivDGuanea3qUVxos1uks/mSOx4jYQxgKfqFB/4FWm2vaqNFmvBocxuEm8tbfPLL/eq9pX/IR1z/AK/V/wDSeGtShyjfYHON78v5nL6N4j1jUNSjtrvw/PZwsCTM54GBVL+3dU+33V5/Yk32iGExx2+eZF8xfmH5n8q7Wsw/8jQv/Xkf/Q6HKN9gc4t35fzMSy8VazPOy3Xhy4toVRnaV24GBmtbwzrZ8Q6LHqBg8ne7LsznocVo3say2NxGzhFeJlLnooI61keDtPh0zw3Da297FeRq7kTRfdOWJ9e1U3FxbSsypOEoNpWenfzKPxB/5AEH/X0v/oL0UfEH/kAQf9fS/wDoL0VkYGpr0P2iTTI/Mkjzdj5o2ww+R+9S/wBjf9RLUP8Av/Rq3/H1pX/X2P8A0W9adAHnvhHSZW8R+JhJPewqLr5XDlTINz8k45/+vW54i0jZ4Z1Vv7Qv2xZzHBm4PyGtDSjqZ1DUvt11bTW/m/6MkWN0a5PDe/T8qd4l/wCRW1f/AK8pv/QDV1HeVzWtLmnf0/IX+xv+olqH/f8Ao/sb/qJah/3/AK065/WPGmi6Ffmyvp5EnChsLEzDB9xUxi5OyREISm7RVy7/AGN/1EtQ/wC/9Zvh7SN/h3T2/tC/GYEOBNwOKmXxnoraK2rieT7GsnlFvKOd3061mWnjHRtC0TSbe/nkSSSyjlULEW+U8Dp9DVezle1ivY1G7crN/wDsb/qJah/3/o/sb/qJah/3/qnH4z0WXRZtWSeQ2cLiN28psgn2696NV8ZaNoxtxezyIbiMSx7Yi2VP0o9nK9rB7Gpe3KyHTdIzf6qP7Qvxi5UcTdf3aVpf2N/1EtQ/7/1jaV4p0p7HWtaEr/YkuVy/lnPKIvTr1q7qXjPRdJitJbueRVu4hNFiJjlSAe3TrR7OV7WD2NS9uVlz+xv+olqH/f8ArNGkf8VIy/2hf/8AHoDnzufvmprPxjo19pl5qME8htrTHnMYiCM+3eqF/wCK9J0zVbbULqaRbe7sx5TCMkn5ienbrR7OV7WD2NS9uV3Nv+xv+olqH/f+j+xv+olqH/f+qdj4y0XUbG9vLaeRobJQ8xMTAgHPQd+hovvGei6dZWd3czyLDeKXhIiYkgeo7daPZyvawexqXtyu5FqukbZbD/iYX5zcqOZunWtH+xv+olqH/f8ArAn8Z6LqccNxazyNHazq8pMTDA5/OtO88ZaNYabZ39xPItveAmEiIknGOo7daPZyvawexqXtyu5c/sb/AKiWof8Af+s3X9I2+H9Qb+0L84gY4M3B4qbTfGei6rFdyWk8jLaxmWXMTDC/j1ql4h8U6UfBzXnmv5N9G8cB8s5LYPUdulHs5XtYPY1L25Xc2f7G/wColqH/AH/o/sb/AKiWof8Af+qemeMtG1gXJs55G+zRGWTdEwwo+vWiXxlo0GiQau88gs55DGjeUclhnt17Gj2cr2sHsal7crLn9jcf8hLUP+/9Zug6Ru0aE/2hfj5n4E3+21TaR4x0bXJpobGaR3ijMrBoiuFH1+tUdK8VaVY+EoNQnmcW5lePcIyTncT0+ho9nK9rB7GonblZtf2N/wBRLUP+/wDR/Y3/AFEtQ/7/ANU9I8Z6Lrl41rYzyPKqGQhomXgYz1+tDeMtGXRTq5nk+xiXyd3lHO76daPZyvawOjUTs4sg0vSN2oa0P7QvxtvFHE3X9xCea0/7G/6iWof9/wCsLw34t0jUta1OC2mkaS5uPPjBjIyiwxqf1Q1pt4v0ddJl1MzSfZYpfJZvLOQ30o9nJO1gdGonZxZa/sb/AKiWof8Af+s06R/xUqr/AGhf/wDHmTnzufv0/SvG+h61qCWVlPI87gkBomUcDPU1R/4S7SDqVxqfnSfZbWAwyt5ZyG8wDp36ih05J2sDo1E7OLNa90lY7G4eS/1B0WJiyef94Y5HSsjwdZWd94bhnsJL+yt2dwsIud2CGIPOO55qeDxroWumTTbS6k86eJ1UvEygcHkk1L4Et4bXwtDBDcrcIksg8xVIBO8561Ti4wd1qaOm4U2pJp3X6mT480vydDgb7dev/pKjDy5H3Woq/wDEH/kAQf8AX0v/AKC9FZHObOrf8fWlf9fY/wDRb1p1j695/maZ9n8vzftYx5mcfcf0qXGt+th+b/4UAc14J3f8JT4t3Zx9s4z/ALz10niX/kVtX/68pv8A0A1SsW8Ttd3guH01og/7oKWyBz1x+FR+IhrP/CM6rvNjt+xzZwWzjYfarqO8rmtaXNO/p+R0tclNoF1N8Rl1aS3jewFp5ZZip+b/AHetbWNb9bD83/wrnWF7/wAJ2v8AxMIPt32bi0y/l7f731og2r27BSbXNbszsPstv5fl+RF5ec7dgxn6Vl6Ba283hzTWlgici2QAsgPGKmxrfrYfm/8AhWb4eGs/8I7p+w2O3yExktnp9Ki5ndnQC1txGYxBEIycldgwfwoktbeXHmQRPtGBuQHAqjjW/Ww/N/8ACjGt+th+b/4UXC7I9Lt4Rd6vF5Mflm5X5Nox/q07VpPa28gUPBEwUYXcgOB7VgaaNZ+36rtNjn7Sucluvlp7Vo41v1sPzf8AwouF2XltbdEZFgiVG+8oQAH61mtbwSeJNjwxsi2a7VKggfOelSY1v1sPzf8AwrOA1n/hJG5sd32Qd2xjefai4XZvra26KypBEqtwwCAA/WhrW3dVV4ImVeFBQED6VRxrfrYfm/8AhRjW/Ww/N/8ACi4XZFqlrbxyWCpBEoa6UMAgGevWtNrW3dFRoImVfuqUBA+lYGqjWfNsNxsf+PlcYLdefatHGt+th+b/AOFFwuy8lrbxhgkEShhhtqAZHvWb4it4f+Eavl8mPakDlRtGFOO1SY1v1sPzf/Cs7XxrP/CP6hvNjt8hs4LZ6fSi4XZvpa28W7y4Ik3DB2oBkUG1tzEIjBEYwchdgwPwqjjW/Ww/N/8ACjGt+th+b/4UXC7LyWtvESY4IkJGCVQDIrM0C3gfQYEaGNk3yHaVBH32qXGt+th+b/4Vm6CNZ/saHYbHbufqW/vt7UXC7OgjtbeFt0cESNjGVQA0fZbfy/L8iLy8527BjP0qjjW/Ww/N/wDCjGt+th+b/wCFFwuyHR7aCPU9aKQxqVvFAIUDA+zw8VqfZoPLMfkR7CcldgwT9K5/SxrP9oa1tNjn7Yu7Jbr5EPTj0xWljW/Ww/N/8KLhdl2O0tonDx28SMO6oAazTbQf8JL5fkR7GsyWXYME7xzipca362H5v/hWaRrP/CSrzY7vsZ7tjG/6UXC7N5bO1RtyW0Kn1CAVLHHHEmyNFRfRRgVnY1v1sPzf/CjGt+th+b/4UXC7Mb4g/wDIAg/6+l/9BeiqHjz+1v7Dg877Ht+0rjYWzna1FAjqNW/4+tK/6+x/6LetOszVv+PrSv8Ar7H/AKLetOgDiPBJf/hKfFu7dj7Zxn/eeuj8S/8AIrav/wBeU3/oBpNLXVBf6ib+K2S3Mv8AorRfeZcn73v0pfEv/Irav/15Tf8AoBq6jvK5rWlzTv6fkalcTcwm2+KKajPJDFaiz2F3lUc89ic/pXbVh6r4Q0bWr37Zf2plm2hc7yOBTpySbuOjNRb5tmrGmNRsjbm4F3B5IODJ5g259M1l6HqFla+HdMS4u4ImNsjAPIASMdeaVfCOirpDaWLX/Q2k8wx7j971zWbY+E9G1rQ9Knv7XzZI7OONTuIwo5A/U0rQvuJKlfVux0o1Gya3acXcBhU4MgkG0H60TajZW+3z7uCPeNy75AMj1FZsfhLRotIl0tLXFpK4d03Hkj3/AAo1Lwlo2rGA3tr5hgjEcfzEYUdqLQvuCVK+7sLpd9aGfWLkXMPkC5XMm8bR+7Qda0ZdRsoFQzXcEYkG5C0gG4eo9a5/SvDWlLa6zpAt/wDQnuVzHuPZEbr9au6h4R0bU4rWO7td62sYiiG4jaoxx+lFoXC1K+7saaahZSwvNHdwNHH991kBC/U9qzZL60g8RCWW6hSOSzGx2cAN856Gi18J6NZaddWEFrttrrHmpuPzYqhe+GNJ1HV4LG6tt9va2Y8pdxG35iKLQvuFqV93Y6GPUbKaOSSO7gdIxl2WQEKPf0ok1GyhjSSS7gRJBlGaQAMPb1rNs/CWjWFnd2lta7IbtQsy7idwGf8AE0l54R0W/s7S1ubTfDaqVhXcRtBotC+4WpX3dg1LUbKZ7J4ruB1S5UuVkBCjnrWnJqNlFFHLJdwJHJ9xmkADfQ965q58I6LpyQQW1rsjubhUlG4ncOa07vwlo17YWljPa7re1BEK7j8uf/1UWhfcLUr7uxpRajZTq7RXcEgQbnKyA7R6ms7xFfWn/CMXkn2mHZLA4jbeMMcdB602w8I6LpkVzHaWuxbmPy5RuJ3L6VS8Q+GtLHhCS0Fv+5so3kgXcflbB5/Wi0L7halfd2Ogh1GyuN/k3cEmwbm2SA4HqaG1GyW3W4a7gELHCyGQbSfTNZuneEtG0oXAs7Xy/tEZik+YnKntRL4S0abSIdKe1zZwuZEj3Hhjnv8AiaLQvuFqV93Y0odQsrlmWC7glZRuISQHA9eKzdCvrSLw/BLJcwrHvcb2cAZ3t3o0vwno2jTSy2Nr5TyxmNjuJyp7fpVDSfDOlXnhSCxntt1uJXfbuPXcR/Si0L7g1Svu7HQwajZXUhSC7glcDO1JATj8KP7Rshb/AGj7XB5O7b5nmDbn0zWZpXhHRdFu2ubG18qVkKFtxPB6/wAqU+EtGbSDpZtf9DMvm+XuP3vWi0L7g1Svo3YTRb+zm1TWViuoXZ7xWUK4JIFvCMj24P5VpnULMQmY3UPlK20v5gwD6ZrnPDvhfSdO1nVJra22SW9wIYzuJwhgjYj82P51pN4U0dtMk042v+iyS+aybjy3rQ1C+4NUr6N2NCHUrG5lEcF5BJIeipICT+FZpv7P/hIjN9qh8pLQqz7xhTvHBNN0zwdoekXyXllaeXOgIDbietUT4W0garPp32b/AEW5tzLKm4/M3mA5/QUNQvowapX0bOhj1XT5n2R31u7YzhZQTU8E8NzGJIJUlQ8bkYEVzZ8FaJpkFxdWNkVuFhcIQxJ5U9qb8O7eW18H28c8UkUnmSEq6lT989jTcY8t4sqUIcjlFjfiD/yAIP8Ar6X/ANBeij4g/wDIAg/6+l/9BeiszA1NeleGTTHjgedxdjEaFQT8j/3iB+tS/wBp33/QCvf+/sH/AMco1b/j60r/AK+x/wCi3rToA878IXt5H4k8UMum3Uxe7yUWSMGP5n4OWA/LPSt7xFqN63hnVVOiXig2cwLGSHA+Q88PWhpI1IajqX22zt4IPN/0eSLG6Rcnlvfp+dO8S/8AIrav/wBeU3/oBq6jvK5rWlzTv6fkL/ad9/0Ar3/v7B/8co/tO+/6AV7/AN/YP/jladFQZGZ/ad9/0Ar3/v7B/wDHKzfD2o3q+HdPA0S8YCBMMJYcHj3eulrL8Of8i3pv/Xun8qAF/tO+/wCgFe/9/YP/AI5R/ad9/wBAK9/7+wf/ABytOigDmtN1G9F/qpGiXhzcrkCWHj92n+3Wl/ad9/0Ar3/v7B/8co0z/kIav/19L/6KStOgDM/tO+/6AV7/AN/YP/jlZo1G9/4SRm/sS8z9kA2+bDn755+/XS1mD/kZ2/681/8AQzQAf2nff9AK9/7+wf8Axyj+077/AKAV7/39g/8AjladFAHN6rqN6ZbDOiXgxcqRmWHnr/t1o/2nff8AQCvf+/sH/wAco1b/AFunf9fS/wAjWnQBmf2nff8AQCvf+/sH/wAcrN1/Ub1vD+oA6JeKDA2WMsOBx7PXS1meIv8AkXNR/wCvd/5UAH9p33/QCvf+/sH/AMco/tO+/wCgFe/9/YP/AI5WnRQBmf2nfY/5AV7/AN/YP/jlZug6jero0IGiXjDc/Ilh/vt/t10vaszw/wD8gSD/AHpP/Q2oAP7Tvv8AoBXv/f2D/wCOUf2nff8AQCvf+/sH/wAcrTooA5nS9RvRqGtEaJeEm8UkCSHj9xDx9/8AH8a0/wC077/oBXv/AH9g/wDjlJpX/IR1z/r9X/0nhrUoAzP7Tvv+gFe/9/YP/jlZp1G9/wCElVv7EvM/YyNvmw5+/wBfv10tZh/5Ghf+vI/+h0AR3Gpaj9ml8rRbtJNh2s0sGAccE/PVHQdR10aTGNT06a7utzbpoJINpGTjo47e1bepAnSrwAZJgfj/AICa574cxvF4MtlkRkYSS8MMH75q0vcbNVH9035r9TP8d393JocIfSLqIfaVO5pIiPutxw5oq/8AEH/kAQf9fS/+gvRUGRs6t/x9aV/19j/0W9adY+vXMNo+mTTyCONbsZY9B8j1J/wkej/8/wDF+tAHPeC55pfE/itJJXdUvMIrMSFG5+npXQ+Jf+RW1f8A68pv/QDWPo/iS3Opap9sSytYfN/0eWM/NOuT8zYJ56dcdam8ReINJk8M6qiX0RZrOUAc8nYauo7yua1pc07+n5HTV5zr1tf6t8SBpUGsXtjC1oJP3EjAAjPYEV2X/CR6P/z/AMX61iHxJp//AAl6j7PbmDyP+Qh/ED/cp05crb8iqE+RtrsWV8LXi+H30w+Ib8zNL5guyzeYB/d+9nH41mw+F7zWNG0ieDxBfWCpZRxmOBmAYjJ3HDDnn9K6T/hI9H/5/wCL9azfD3iDSY/Duno19EGECAjn0pe0le5KrTTvf8gi8LXkegT6afEN+80sgcXZZvMQDHA+bOPxpdZ8LXmqG1MPiC+svJiEbeSzDzCP4jhhzWj/AMJHo/8Az/xfrR/wkej/APP/ABfrR7SV7h7ad73/ACMHSfD10ul61pR1q8MzXK4vCx8xfkRuuc+3WrmreFrzUobGOLxDf2htoRE7RMwMxAHzNhhzx+tLpviDSVv9VJvogGuQR15/dpWj/wAJHo//AD/xfrR7SV7h7ad73/IzrHwveWmkX1i/iC+nkucbLh2bfDj+781UdS8OXeoajaWUWuXtrJbWY33ETEPL8xHzcit//hI9H/5/4v1rOHiDSf8AhJGf7dFt+yAZ567zR7SV7h7ad73/ACE07wteWOnahayeIb+5e6QKk0jMWhIzyvze/t0o1HwteX2n2NtH4hv7d7ZCryxs26b3b5q0v+Ej0f8A5/4v1o/4SPR/+f8Ai/Wj2kr3D20781/yOak8K3lhDHBL4hv7pridEWSRmJiPPK/Mea07/wALXl5pVhZx+IL+CS2BDzxs26bOPvfN7Uuq+INJaWw230RxcqT16c1o/wDCR6P/AM/8X60e0le4e2ne9/yM3SvCt5p0N7HL4hv7s3ERjVpWYmI/3lyx5qp4h8PXQ8GC1/tq8L2aO7zbjunHPytz059+lbv/AAkej/8AP/F+tZ2v+INJfw/fot9EWMDADn0o9pK9w9tO97/kJpHha80wXYm8Q39558RjXzmY+WT/ABDLHmlm8LXkvh+30weIL9JoZC5u1ZvMcHPyk7s459e1aP8Awkej/wDP/F+tH/CR6P8A8/8AF+tHtJXuDrTbvf8AIztE8L3mkXE8s/iC+vlkiMYSdmIQnHzDLHmqOmeHbq78HW9kmt3kEgmd/tCMd+NxGOvTjNb/APwkej/8/wDF+tZug+INJTRoVa+iBDPxz/faj2kr3B1pt3v+QaH4VvNIvmuJ/EN/fIYynlTsxUE455Y88UreF7w+Hzpv/CQXwl87zfte5vMx/d+9nH41o/8ACR6P/wA/8X60f8JHo/8Az/xfrR7SV7g60273/I53wv4bu7DW9Rmk129uVgm8po5GJEhMMbbj83UbgP8AgIrTbwxdtok2n/2/fCWSbzRc7jvUf3R83T8aZpniDSV1DWib6IBrxSvXkeRCP6GtL/hI9H/5/wCL9aHUk3cHWm3dv8jK0Xwle6Vqcd3N4k1C9RQQYZmYq2R7sapf8I1d/brrT/7dvfNuITKtzuO+IeYp2r83Tj1710X/AAkej/8AP/F+tZp8QaT/AMJKr/botv2MjPPXfQ6km7g6027t/kQ6V4P1DTb9Ll/E+oXQUEeVMzFSSO4LGt7SbGfTrHyLi9kvJN7MZZBg8nOOp4HSof8AhI9H/wCf+L9aP+Ej0f8A5/4v1olOUtxTqyn8Rj/EH/kAQf8AX0v/AKC9FZ/jvXNMuNDhSK8idhcqcA9trUVBmdTq3/H1pX/X2P8A0W9adZmrf8fWlf8AX2P/AEW9adAHGeDbu5uPE3imOe4lljiu9sau5YINz8AHp0Fb/iX/AJFbV/8Arym/9ANQ6M9y2p6qJtIjskE37udcZuRlvmP+e9TeJf8AkVtX/wCvKb/0A1dR3ka1ned/T8jUrjm1C7HxUSw+0SfZDZb/ACc/Lu9cV2Ncdr2meJX8Rfb9Ei01QIggmnQeZ7jOM4p0rXafYqha7T6rqdjWX4c/5FvTf+vdP5VmLH4w/wCEfdWmsf7W835WA+TZ+XWs2GPxc2jaQdDlskt/sMfmCcc+ZznHHTGKXJra6JVLW3MjuaK5iKPxh/wj86yzWP8AavmDymA+TZxnPHXrS61H4vY2v9jy2KgRDz/OHV++OOlHJra6D2WtuZGnpn/IQ1f/AK+l/wDRSVp1xukp4n/srW1aS0/tn7SuxgP3f3Uz2/u1b1aPxg0Nj/Zc1isghH2rzRwZMDO3jp1o5NbXQey1tzI6eswf8jO3/Xmv/oZrMsY/F40e+F7LYnUDj7KUHyD13cVR1NPFLajaDTZbNb8WY+1GQfKfmP3ePXNHJra6D2WtuZHaUVzGnR+MBpuoDUJrFrwoPsZjHyhuc7uPpRqMfjA6fYDT5rFbsIftZkHyluMbePrRya2ug9lrbmRqat/rdO/6+l/ka064V4/GAhQalNYtcGdPsxjHAbn73HStS/j8XnSbAWM1iL8A/ay4+UnjG3j60cmtroPZa25kdNWZ4i/5FzUf+vd/5Vl6TH4wWG9/tSaxaQxH7N5Q4En+1x0qp4hTxN/whagy2n2sI/204+Upz93jr0o5NbXQey1tzI7KiuY0ePxgou/7WmsWJhP2fyh0k7Z46dKWePxefD1ssMtiNWEh85iPkKc4xx16UcmtroHS1tzI6btWZ4f/AOQJB/vSf+htWZocfi5bif8AtqWyaHyj5XkjnfxjPHTrVLTU8UHwdbiylsxf+c+S4+XZuPt1zmjk1tdA6WtuZHZ0VzGhR+MFv2OtzWLWvlnaIR82/jHbp1pWj8X/APCPlVmsv7W8/hsfJ5f5daOTW10DpWduZGlpX/IR1z/r9X/0nhrUrifC6eKhrmo/2jLZtAJsXAjHJl8mPbjjpt2frWk0fi3+xJgstl/aXn/u2I+Ty/fjrQ4a2ugdKztzI6Ssw/8AI0L/ANeR/wDQ6yNFj8aLqcZ1iawaywd4hHzZxx29ap7PFf227Blsv7SMJ+zNj5BH5i9eOuM0OFna6B0rO3MjtqK4y0Pji2kkn1OfT2tY4nZhEPmyFJHb1rT8F6td634ahvr5laZ3cZVcDAYgcfhTlTaV7jnRcY81015FP4g/8gCD/r6X/wBBeij4g/8AIAg/6+l/9BeiszE2dW/4+tK/6+x/6LetOsfXraC7fTILmGOaJrsbkkUMp+R+xqT/AIRvQv8AoC6f/wCAyf4UAYXg++urrxJ4ohnnkkjgu9sSschBufgfkK3fEv8AyK2r/wDXlN/6Aay9L0rTbu/1GG48JWdpHBLtimeBSJxk/MBtGOg9etO8ReHdEj8M6q6aPYK62cxVhbICDsPPSrqO8jWs7zvbt+R01FZf/CN6F/0BdP8A/AZP8KP+Eb0L/oC6f/4DJ/hUGRqVl+HP+Rb03/r3T+VH/CN6F/0BdP8A/AZP8KzfD3h3RJPDunu+j2DM0CEk2yEnj6UAdNRWX/wjehf9AXT/APwGT/Cj/hG9C/6Aun/+Ayf4UALpn/IQ1f8A6+l/9FJWnXNab4d0Rr/VQ2j2BC3KgA2ycDy09q0f+Eb0L/oC6f8A+Ayf4UAalZg/5Gdv+vNf/QzSf8I3oX/QF0//AMBk/wAKzh4d0T/hJGT+x7Db9kB2/ZkxneeelAHS0Vl/8I3oX/QF0/8A8Bk/wo/4RvQv+gLp/wD4DJ/hQAurf63Tv+vpf5GtOua1Xw7oiy2G3R7AZuVBxbJyOfatH/hG9C/6Aun/APgMn+FAGpWZ4i/5FzUf+vd/5Un/AAjehf8AQF0//wABk/wrO1/w7okfh+/dNHsFYQMQRbICOPpQB0tFZf8Awjehf9AXT/8AwGT/AAo/4RvQv+gLp/8A4DJ/hQBqdqzPD/8AyBIP96T/ANDak/4RvQv+gNp//gMn+FZug+HdEfRoWfR7BmLPybZCfvt7UAdNRWX/AMI3oX/QF0//AMBk/wAKP+Eb0L/oC6f/AOAyf4UAGlf8hHXP+v1f/SeGtSuZ0zw9ojahrQbSLAhbxQoNsnA8iE4HHqT+daX/AAjehf8AQF0//wABk/woA1KzD/yNC/8AXkf/AEOk/wCEb0L/AKAun/8AgMn+FZp8O6J/wkqp/Y9hs+xk7fsyYzv69KAN+98v7DcednyvKbft64xzisjwd/Zv/COQ/wBkCYWe99vnfezuOf1p97oGiQWNxMmi6dujiZhm1TGQM+lZPg+y0vXfDkF/daHpSzO7qRHaIF4YgcYPpVq/IzVJ+yb6XX6kvxB/5AEH/X0v/oL0VQ8d6FpFvocLwaXZRMblQSkCg42t6CioMjqNW/4+tK/6+x/6LetOszVv+PrSv+vsf+i3rToA85h1/wATaVr2sq+h6jqFs9y32c7WCogZsbeDkEYrW8Ta3fjwwR/YtwRe2U3nnn/RvkP3uPf26V2FZfiX/kVtX/68pv8A0A1pKafQ3nVjLXlMXUvFmsWWoz20Hha9uoo2wsyE4ceo+WtB9d1BYNJkGiXDNesBOozm2HHLce59Olb1FLmj2Jc4WXu/mcnqvirWLDU57W38L3l3FGcLPGTtfjqPlo0nWL218K6E8WkzzmYLFIq5/dKONx46cZ/GusrL8Of8i3pv/Xun8qOaPYOeFl7v5mRq/inV9P1KW2tvDF5eRJ92aPO1v/Has/8ACQal/Y9lef2Dc+fcTeXJb87oVyRuPHTj9a6KijmjbYOeFkuX8ziLvxFqek67qkFn4futQjaZWMsWcA+Wox0Pp+tai+IdTOjW96dAuhPJN5bW3O5F/vHjpWhpn/IQ1f8A6+l/9FJWnRzRtsHPCyXL+Zy+teJtV0zUWtrXw3d30QVSJo84JI5H3T0rPHiPVPtH9of8I9dfaWhWM2nO8Lvb5unT8K7iswf8jO3/AF5r/wChmjmjZaBzwsly/mZuu+JNU0q/FvZ+Hbq/iMYfzos4BOeOh9P1oXxJqh8PtqJ8O3QuRLsFnzvI/vdOn4V0tFHNG2wc8LJcv5nHeKtd1CxvNPS30O5ul3JLuTON3PydOtXIfEepy+HrjUX8PXSXUcoRbM53uOPmHHTk9u1aWrf63Tv+vpf5GtOjmjbYOeFkuX8zmdY8Sappxtfs3h27vPOiEj+Xn92T/CeDzVS813UNQ8GavcXOiXFnKiFFhkzlgRyw4HAz+ldjWZ4i/wCRc1H/AK93/lRzRtsHPC1uX8zM1bxJqmnx2jW3h27vDPEHkEef3Tf3Tx1pbHxJql1pN9dy+HbuCa3x5du2d02fTiuloo5o2tYOeFrcv5nM6p4k1SxtrKS38O3d008e+REzmI+h4qn4a17UX8OXUjaHcq9sGaJDnM5LEkDjtXZdqzPD/wDyBIP96T/0NqOaNrWDnha3L+Zm6l4k1Sy0/T7iDw9dXUtzGWlhTOYDgcHj3P5Umm+JNUvbK9nn8O3dtJbpujifOZj6Diumoo5o2tYOeFrcv5nDQeI9UtYb68h8PXU89xejzLdc7of9Hh68VqaV4k1S/t7+S48O3Vo9vCZIkkzmZsH5Rx14H51o6V/yEdc/6/V/9J4a1KOaNrWDnha3L+ZzV14k1SDQrO/j8O3UtxOxWS1XO6IAnk8d8Dt3qlo+u6hqWt3M91olxZSQ2JKRSZzJ82eOB9K7Ksw/8jQv/Xkf/Q6OaNtg54Wty/mZF9r+pP4aS5/4R27ea4LRSWqk70XBGen9Ks+CYPs3hiCL7FcWWHc+TcZ3jLE+groaKHNctkgdROHKlbU5P4g/8gCD/r6X/wBBeij4g/8AIAg/6+l/9BeioMjf1KyS8ii3SSxtFIJEeNsEHBH8iap/YJf+gnff9/F/woooAPsEv/QTvv8Av4v+FRXOkfa7Wa2m1G+aKZGjdfMHKkYI6UUUAS/YJf8AoJ33/fxf8KPsEv8A0E77/v4v+FFFAB9gl/6Cd9/38X/CorbSPsltFbw6jfLFGoVR5g4A/CiigCX7BL/0E77/AL+L/hR9gl/6Cd9/38X/AAoooAii0gwyTSJqN8Gmbe58wcnAHp6AVL9gl/6Cd9/38X/CiigA+wS/9BO+/wC/i/4VF/ZB+1G5/tG+80ps3eYOmc+lFFAEv2CX/oJ33/fxf8KPsEv/AEE77/v4v+FFFAEU2kGcxmTUb4mNw6/vBwfyqX7BL/0E77/v4v8AhRRQAfYJf+gnff8Afxf8KiudIN1bSW82o3zRyKVYeYOQfwoooAl+wS/9BO+/7+L/AIUfYJf+gnff9/F/woooAPsEv/QTvv8Av4v+FRW+kG1gWGHUb5UUkgeYO5z6e9FFAEv2CX/oJ33/AH8X/Cj7BL/0E77/AL+L/hRRQBFFpHkyTyR6jfBp3Ekh8wcttVc9PRR+VS/YJf8AoJ33/fxf8KKKAD7BL/0E77/v4v8AhUX9kf6V9p/tG+83Z5e7zB93OfSiigCX7BL/ANBO+/7+L/hR9gl/6Cd9/wB/F/woooAq3/h6HU4FhvL2+ljVt4BlA5wR6e5ooooA/9k=) +![md5:f72c11b17e739eadf5ff82c9c5828a0d](f72c11b17e739eadf5ff82c9c5828a0d.jpeg) Note that the cycle returns to the initial cell after visiting every cell exactly once. To prove that \((1,1)\) is good, we need to find a starting configuration such that Turbo traverses this cycle. @@ -490,12 +490,12 @@ Consider the upper left corner of the board. With standard row and column number Now suppose instead that \(b_{j + 1} = (2,1) = a_{i - 1}\) . Considering the \(a\) - route, the arrows in the upper left corner after \(i - 1\) steps must be like this: -![](data:image/jpeg;base64,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) +![md5:c6fb9df05a7b0617c31ee0581f632de0](c6fb9df05a7b0617c31ee0581f632de0.jpeg) Considering the \(b\) - route instead, the arrows after \(j - 1\) steps must be like this: -![](data:image/jpeg;base64,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) +![md5:f60d351055b547df6566fbcbe9ff1e35](f60d351055b547df6566fbcbe9ff1e35.jpeg) From the arrows in cell \((1,1)\) we see that \(i\equiv j + 1\) mod 4. However, for the cells \((2,1)\) and \((1,2)\) this gives a contradiction. diff --git a/EGMO/segmented/en-2025-solutions.jsonl b/EGMO/segmented/en-2025-solutions.jsonl index 3b65d8210fe1657f444c50c55d30c3d42ffd8a9b..dd39e7d05ca3cdbeb6065150857232cfc9d9b98c 100644 --- a/EGMO/segmented/en-2025-solutions.jsonl +++ b/EGMO/segmented/en-2025-solutions.jsonl @@ -4,22 +4,22 @@ {"year": "2025", "tier": "T2", "problem_label": "2", "problem_type": null, "exam": "EGMO", "problem": "An infinite increasing sequence \\(a_{1}< a_{2}< a_{3}< \\dots\\) of positive integers is called central if for every positive integer \\(n\\) , the arithmetic mean of the first \\(a_{n}\\) terms of the sequence is equal to \\(a_{n}\\) . \n\nShow that there exists an infinite sequence \\(b_{1},b_{2},b_{3},\\ldots\\) of positive integers such that for every central sequence \\(a_{1},a_{2},a_{3},\\ldots\\) , there are infinitely many positive integers \\(n\\) with \\(a_{n} = b_{n}\\) .", "solution": "We give an alternative proof that the sequence \\(b_{i} = 2i - 1\\) works. This proof is by contradiction, so we assume that there are only finitely many \\(a_{i}\\) such that \\(a_{i} = 2i - 1\\) . \n\nLet \\(S(n) = \\sum_{i = 1}^{n}a_{i}\\) . We have \\(S(a_{n}) = a_{n}^{2}\\) and \\(S(a_{n + 1}) = a_{n + 1}^{2}\\) . If \\(a_{n + 1} = a_{n} + 1\\) , then it follows that \n\n\\[S(a_{n + 1}) - S(a_{n}) = a_{n + 1}^{2} - a_{n}^{2} = a_{n + 1}^{2} - (a_{n + 1} - 1)^{2} = 2a_{n + 1} - 1.\\] \n\nOn the other hand, if \\(a_{n + 1} = a_{n} + 1\\) , then \\(S(a_{n + 1}) - S(a_{n})\\) is \\(a_{a_{n + 1}}\\) , so it follows that \\(a_{a_{n + 1}} = 2a_{n + 1} - 1\\) . By assumption, this can only happen finitely many times, so for all sufficiently large \\(n\\) we must have \\(a_{n + 1}\\geqslant a_{n} + 2\\) . \n\nFor large enough \\(n\\) , we now know that \\(a_{n} > 2n - 1\\) implies \\(a_{n + 1} > (2n - 1) + 2 = 2(n + 1) - 1\\) . This means that there are two cases possible: \n\n(A) For all sufficiently large \\(n\\) (say \\(n\\geqslant N_{A}\\) ) we have \\(a_{n} > 2n - 1\\) \n\n(B) For all sufficiently large \\(n\\) (say \\(n\\geqslant N_{B}\\) ) we have \\(a_{n}< 2n - 1\\) \n\nIn case (A), we know for \\(m > N_{A}\\) that \n\n\\[S(m) = S(N_{A}) + \\sum_{i = N_{A} + 1}^{m}a_{i}\\geqslant S(N_{A}) + \\sum_{i = N_{A} + 1}^{n}2i = S(N_{A}) + m(m + 1) - N_{A}(N_{A} + 1)\\] \\[\\qquad = m^{2} + m + S(N_{A}) - N_{A}(N_{A} + 1).\\] \n\nFor \\(m\\) large enough (e.g. \\(m > N_{A}(N_{A} + 1)\\) ), this expression is always larger than \\(m^{2}\\) , contradicting \\(S(a_{n}) = a_{n}^{2}\\) for all \\(n\\) . \n\nSimilarly, in case (B), we similarly know for \\(m > N_{B}\\) that \n\n\\[S(m) = S(N_{B}) + \\sum_{i = N_{B} + 1}^{m}a_{i}\\leqslant S(N_{B}) + \\sum_{i = N_{B} + 1}^{n}2(i - 1) = S(N_{B}) + m(m - 1) - N_{B}(N_{B} - 1)\\] \\[\\qquad = m^{2} - m + S(N_{B}) - N_{B}(N_{B} - 1).\\] \n\nFor \\(m\\) large enough (e.g. \\(m > S(N_{B})\\) ), this expression is always smaller than \\(m^{2}\\) , again contradicting \\(S(a_{n}) = a_{n}^{2}\\) for all \\(n\\) .", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P2.", "solution_match": "\nSolution 2. "}} {"year": "2025", "tier": "T2", "problem_label": "2", "problem_type": null, "exam": "EGMO", "problem": "An infinite increasing sequence \\(a_{1}< a_{2}< a_{3}< \\dots\\) of positive integers is called central if for every positive integer \\(n\\) , the arithmetic mean of the first \\(a_{n}\\) terms of the sequence is equal to \\(a_{n}\\) . \n\nShow that there exists an infinite sequence \\(b_{1},b_{2},b_{3},\\ldots\\) of positive integers such that for every central sequence \\(a_{1},a_{2},a_{3},\\ldots\\) , there are infinitely many positive integers \\(n\\) with \\(a_{n} = b_{n}\\) .", "solution": "We claim that the sequence \\(b_{1}\\) , \\(b_{2}\\) , \\(b_{3}\\) , ... defined by \\(b_{i} = 2i - 1\\) has this property. \n\nLemma. If there are no terms \\(a_{j}\\) such that \\(a_{j} - a_{j - 1} = 1\\) , then \\(a_{j} = a_{j - 1} + 2\\) for all \\(j\\) . \n\nProof. Let \\(c\\) be such that \\(a_{d} = c\\) for some \\(d\\) . Now \n\n\\[a_{1} + a_{2} + \\dots +a_{c} = c^{2}.\\] \n\nEquality holds for \\(a_{i} = 2i - 1\\) for \\(1\\leq i\\leq c\\) , so if any difference between two consecutive terms is greater, the left- hand side of the equation is greater than \\(c^{2}\\) , a contradiction. \\(\\square\\) \n\nLemma. If both \\(d\\) and \\(d + 1\\) are terms of the sequence, i.e. \\(a_{c} = d\\) and \\(a_{c + 1} = d + 1\\) for some \\(c\\) , then \\(a_{d + 1} = 2d + 1 = b_{d + 1}\\) . \n\nProof. We have \\(a_{1} + a_{2} + \\dots +a_{d} = d^{2}\\) and \\(a_{1} + a_{2} + \\dots +a_{d + 1} = (d + 1)^{2}\\) . Hence \\(a_{d + 1} = (d + 1)^{2} - d^{2} = 2d + 1\\) . \\(\\square\\) \n\nFrom the observations above, we see that we are done if there are infinitely many gaps of size 1. The only remaining case is one with finitely many gaps of size 1. This will be the subject of the following lemma. \n\nLemma. If there are only finitely many indices \\(j\\) such that \\(a_{j + 1} - a_{j} = 1\\) , then there is an index \\(n_{0}\\) such that for all \\(k > n_{0}\\) , we have \\(a_{k} = 2k - 1\\) . \n\nProof. Let \\(r\\) and \\(s\\) be indices such that for all the \\(j\\) satisfying \\(a_{j + 1} - a_{j} = 1\\) , we have \\(j < r\\) , \\(s\\) . Furthermore, assume \\(s > r\\) and that there are \\(i_{1}\\) and \\(i_{2}\\) such that \\(a_{i_{1}} = r\\) and \\(a_{i_{2}} = s\\) . The first goal is to show that \\(a_{s} \\geq 2s - 1\\) . If \\(a_{r} \\geq 2r - 1\\) , this is clearly the case. Assume now \\(a_{r} < 2r - 1\\) . Now \\(a_{r} \\geq 2r - 1 - m\\) , where \\(m\\) is the number of indices \\(j\\) with \\(a_{j + 1} - a_{j} = 1\\) . Denote \\(a_{r + 1} = 2r + 1 - m + \\theta_{1}\\) , \\(a_{r + 2} = 2r + 3 - m + \\theta_{2}\\) , etc. Remember that \\(a_{r + j + 1} - a_{r + j} \\geq 2\\) always. Now \\(0 \\leq \\theta_{1} \\leq \\theta_{2} \\leq \\dots\\) . Furthermore, write \\(s = r + h\\) . Now \n\n\\[(r + h)^{2} - r^{2} = a_{r + 1} + a_{r + 2} + \\dots +a_{r + h} = \\sum_{j = 1}^{h}2r - 1 + 2j - m + \\theta_{j}.\\] \n\nFrom this we deduce \n\n\\[2r h + h^{2} = 2r h - h - m h + h(h + 1) + \\sum_{j = 1}^{h}\\theta_{j}.\\] \n\nSo we obtain \\(\\sum_{j = 1}^{h}\\theta_{j} = m h\\) . Since the sequence \\(\\theta_{j}\\) is increasing, we have \\(\\theta_{h} \\geq m\\) . Hence, \\(a_{s} = a_{r + h} \\geq 2r - 1 - m + 2h + m = 2r + 2h - 1 = 2s - 1\\) . \n\nNow \\(a_{s}\\) is exactly the desired shape. If for any \\(t > s\\) , we have \\(a_{t} - a_{t - 1} > 2\\) , then \n\n\\[a_{s} + a_{s + 1} + \\dots +a_{t} > t^{2} - s^{2},\\] \n\nagain a contradiction.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P2.", "solution_match": "\nSolution 3. "}} {"year": "2025", "tier": "T2", "problem_label": "2", "problem_type": null, "exam": "EGMO", "problem": "An infinite increasing sequence \\(a_{1}< a_{2}< a_{3}< \\dots\\) of positive integers is called central if for every positive integer \\(n\\) , the arithmetic mean of the first \\(a_{n}\\) terms of the sequence is equal to \\(a_{n}\\) . \n\nShow that there exists an infinite sequence \\(b_{1},b_{2},b_{3},\\ldots\\) of positive integers such that for every central sequence \\(a_{1},a_{2},a_{3},\\ldots\\) , there are infinitely many positive integers \\(n\\) with \\(a_{n} = b_{n}\\) .", "solution": "Note that \\(a_{1} = 1\\) because if it is not the case, then \\(a_{1}^{2} = a_{1} + \\dots +a_{a_{1}} > a_{1} + a_{1} + \\dots +a_{1} = a_{1}^{2}\\) . \n\nAssume by contradiction that there are only finitely many indices \\(k\\) such that \\(a_{k} = 2k - 1\\) . Set \\(i\\) to be the largest integer such that \\(a_{i} = 2i - 1\\) (which must exist as \\(a_{1} = 1\\) ). Assume that there exists \\(j \\geqslant i\\) such that \\(a_{j + 1} - a_{j} = 1\\) . Then \\(2a_{j + 1} - 1 = a_{j + 1}^{2} - a_{j}^{2} = a_{a_{j + 1}}\\) and since \\(a_{k} \\geqslant k\\) for all \\(k\\) , we have \\(a_{j + 1} \\geqslant j + 1 > i\\) , which contradicts the definition of \\(i\\) . Thus for all \\(j \\geqslant i\\) , we have \\(a_{j + 1} \\geqslant a_{j} + 2\\) , which implies by induction that \\(a_{j} \\geqslant 2j - 1\\) for \\(j \\geqslant i\\) , and even \\(a_{j} \\geq 2j\\) if \\(j > i\\) . \n\nThere are two ways to finish the solution from here. \n\n## First way to finish the solution \n\nFor all \\(n\\) such that \\(a_{n} \\geqslant i\\) , we have \n\n\\[a_{n + 1}^{2} - a_{n}^{2} = a_{a_{n + 1}} + a_{a_{n + 1} - 1} + \\dots +a_{a_{n + 1}}\\geqslant 2a_{n + 1} + 2(a_{n + 1} - 1) + \\dots +2(a_{n} + 1)\\] \\[\\qquad = (a_{n + 1} - a_{n})(a_{n + 1} + a_{n} + 1)\\] \\[\\qquad >a_{n + 1}^{2} - a_{n}^{2}.\\] \n\nThis gives a contradiction. \n\n## Second way to finish the solution \n\nFor all \\(n\\) such that \\(a_{n} \\geqslant i\\) , we introduce \\(x_{n} = a_{n + 1} - a_{n}\\) . We have \n\n\\[x_{n}^{2} + 2x_{n}a_{n} = a_{n + 1}^{2} - a_{n}^{2} = a_{a_{n + 1}} + a_{a_{n + 1} - 1} + \\dots +a_{a_{n} + 1}\\geqslant \\sum_{j = 1}^{x_{n}}(a_{a_{n}} + 2j)\\geq x_{n}a_{a_{n}} + x_{n}(x_{n} + 1).\\] \n\nBy simplifying, we get \\(a_{a_{n}} \\leq 2a_{n} - 1\\) , which gives a contradiction. \n\nComment. Proving that \\(a_{1} = 1\\) is not necessary for this solution. If there exists no \\(i\\) such that \\(a_{i} = 2i - 1\\) , then the same argument implies that there exists no \\(j\\) such that \\(a_{j + 1} - a_{j} = 1\\) , thus \\(a_{j} \\geqslant 2j - 1\\) for \\(j \\geqslant 1\\) .", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P2.", "solution_match": "\nSolution 4. "}} -{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "Denote by \\(B^{\\prime}\\) and \\(C^{\\prime}\\) the reflections of \\(B\\) and \\(C\\) in \\(M\\) and \\(N\\) , respectively. Points \\(C^{\\prime}\\) , \\(A\\) , \\(B^{\\prime}\\) are clearly collinear and \\(D E B^{\\prime}A\\) is a parallelogram. Since \\(E H\\perp A D\\) , we have \\(E H\\perp E B^{\\prime}\\) . Also \\(H A\\perp A B^{\\prime}\\) , so points \\(H,E,B^{\\prime},A\\) are concyclic. This gives \n\n\\[\\angle C^{\\prime}Q H = \\angle N Q H = \\angle N E H = \\angle A E H = \\angle A B^{\\prime}H = \\angle C^{\\prime}B^{\\prime}H,\\] \n\nand so points \\(C^{\\prime}\\) , \\(B^{\\prime}\\) , \\(Q\\) , \\(H\\) are concyclic. Analogously points \\(C^{\\prime}\\) , \\(B^{\\prime}\\) , \\(P\\) , \\(H\\) are concyclic, and so all points \\(B^{\\prime}\\) , \\(C^{\\prime}\\) , \\(P\\) , \\(Q\\) , \\(H\\) are. Now we have \n\n\\[\\angle N M B^{\\prime} = \\angle A B^{\\prime}M = \\angle C^{\\prime}B^{\\prime}P = \\angle C^{\\prime}Q P = \\angle N Q P,\\] \n\nwhich proves that \\(P,Q,N,M\\) are also concyclic. \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 1. "}} +{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "Denote by \\(B^{\\prime}\\) and \\(C^{\\prime}\\) the reflections of \\(B\\) and \\(C\\) in \\(M\\) and \\(N\\) , respectively. Points \\(C^{\\prime}\\) , \\(A\\) , \\(B^{\\prime}\\) are clearly collinear and \\(D E B^{\\prime}A\\) is a parallelogram. Since \\(E H\\perp A D\\) , we have \\(E H\\perp E B^{\\prime}\\) . Also \\(H A\\perp A B^{\\prime}\\) , so points \\(H,E,B^{\\prime},A\\) are concyclic. This gives \n\n\\[\\angle C^{\\prime}Q H = \\angle N Q H = \\angle N E H = \\angle A E H = \\angle A B^{\\prime}H = \\angle C^{\\prime}B^{\\prime}H,\\] \n\nand so points \\(C^{\\prime}\\) , \\(B^{\\prime}\\) , \\(Q\\) , \\(H\\) are concyclic. Analogously points \\(C^{\\prime}\\) , \\(B^{\\prime}\\) , \\(P\\) , \\(H\\) are concyclic, and so all points \\(B^{\\prime}\\) , \\(C^{\\prime}\\) , \\(P\\) , \\(Q\\) , \\(H\\) are. Now we have \n\n\\[\\angle N M B^{\\prime} = \\angle A B^{\\prime}M = \\angle C^{\\prime}B^{\\prime}P = \\angle C^{\\prime}Q P = \\angle N Q P,\\] \n\nwhich proves that \\(P,Q,N,M\\) are also concyclic. \n\n![md5:ed729686b0882a22087a6fc0e270efb8](ed729686b0882a22087a6fc0e270efb8.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 1. "}} {"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "Introduce points \\(B^{\\prime}\\) , \\(C^{\\prime}\\) as above. Also define \\(A^{\\prime} = B^{\\prime}E\\cap C^{\\prime}D\\) , so that \\(E A D A^{\\prime}\\) is a parallelogram and \\(A D E\\) is the medial triangle of \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) . It that follows that the orthocentre \\(H\\) of \\(A D E\\) is the circumcentre of \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) , and in particular \n\n\\[\\angle C^{\\prime}B^{\\prime}H = 90^{\\circ} - \\angle B^{\\prime}A^{\\prime}C^{\\prime} = 90^{\\circ} - \\angle D A E = \\angle A E H = \\angle N E H = \\angle N Q H = \\angle C^{\\prime}Q H.\\] \n\nSo again we have that \\(C^{\\prime}\\) , \\(B^{\\prime}\\) , \\(Q\\) , \\(H\\) are concyclic and conclude as in Solution 1.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 1'."}} -{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "Let \\(X\\) be the second intersection of \\((D H M)\\) and \\((E H N)\\) and let \\(O^{\\prime}\\) be the circumcentre of \\((A M N)\\) Note that \\(\\angle M X N = \\angle M D H + \\angle N E H = 180^{\\circ} - 2\\angle D A E\\) and since \\(\\angle M O^{\\prime}N = 2\\angle D A E\\) we have that \\(X,M,O^{\\prime},N\\) is cyclic and since \\(\\angle M X H = \\angle N X H\\) it means that \\(H X\\) is the angle bisector of \\(\\angle M X N\\) but since \\(O^{\\prime}M = O^{\\prime}N\\) it means that \\(H,X,O^{\\prime}\\) are collinear. Let \\(B M\\) and \\(C N\\) intersect at \\(T\\) and let \\(K\\) and \\(L\\) be the midpoints of \\(M N\\) and \\(B C\\) . Note that \\(L\\) is also the midpoint of \\(D E\\) . Since \\(M N\\) is parallel to \\(B C\\) it means that \\(T\\) , \\(K\\) , and \\(L\\) are collinear, but since \\(A\\) , \\(K\\) , and \\(L\\) are collinear we get that \\(A\\) , \\(T\\) , \\(K\\) , and \\(L\\) are collinear. Now, \\(\\frac{T L}{T K} = \\frac{B C}{M N} = 6\\) . Since \\(K L = K A\\) it means that \\(\\frac{A T}{T K} = \\frac{T L - 2T K}{T K} = 4\\) so by the lemma below, \\(T\\) lies on \\(H O^{\\prime}\\) . Since \\(H O^{\\prime}\\) is the radical axis of \\((D H M)\\) and \\((E H N)\\) we finish the problem using the Radical Axes Theorem \\((T M\\cdot T P = T N\\cdot T Q)\\) .\n\n\n\nLemma. Let \\(A^{\\prime}\\) be the reflection of \\(A\\) around the orthocentre \\(H\\) of \\(\\triangle ABC\\) and \\(O\\) and \\(M\\) be the circumcentre of \\(\\triangle ABC\\) and the midpoint of \\(BC\\) , respectively. Let \\(T\\) be the intersection of \\(A^{\\prime}O\\) and \\(AM\\) . Then \\(\\frac{AT}{TM} = 4\\) . \n\nProof. Since \\(OM \\parallel AA'\\) we have \\(\\frac{AT}{TM} = \\frac{AA'}{OM} = \\frac{2AH}{OM} = \\frac{4OM}{OM} = 4\\) . We used here that \\(AH = 2OM\\) . \\(\\square\\) \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 2. "}} -{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "As in solution 2, we will prove that \\(O'\\) is both on line \\(HT\\) and the radical axis of the circles, hence \\(T\\) is on the radical axis, from which we conclude the required concyclicity. We present alternative proofs of both facts, discovered by contestants. \n\nLet \\(M_{1}\\) , \\(N_{1}\\) be the midpoints of \\(AM\\) , \\(AN\\) , respectively, so that \\(AM_{1}:M_{1}D = AN_{1}:N_{1}E = 1:3\\) . It is easy to verify (e.g. by applying the theorems of Ceva or Menelaus, or by computing in barycentric coordinates as in Solution 3) that \\(T\\) lies on \\(EM_{1}\\) and \\(DN_{1}\\) . Note that \\(M_{1}N_{1} \\parallel DE\\) , and also \\(M_{1}O' \\parallel HE\\) as both are perpendicular to \\(AMD\\) , and similarly \\(N_{1}O' \\parallel HD\\) . It follows that \\(DEH\\) and \\(N_{1}M_{1}O'\\) are homothetically similar triangles, and the center of their (negative) homothety is \\(T = DN_{1} \\cap EM_{1}\\) . Therefore \\(T\\) also lies on \\(HO'\\) , as claimed. (We also have that the homothety is by factor \\(\\frac{M_{1}N_{1}}{ED} = -\\frac{1}{4}\\) .) \n\nNow, let \\(M_{2}\\) , \\(N_{2}\\) be the second intersection points of \\(O'M\\) , \\(O'N\\) with the circumcircles of \\(HMD\\) , \\(HNE\\) , respectively. To prove that \\(O'\\) is on the radical axis, it suffices to show that \\(O'M \\cdot O'M_{2} = O'N \\cdot O'N_{2}\\) . But by definition of \\(O'\\) we have \\(O'M = O'N\\) , so we must show \\(O'M_{2} = O'N_{2}\\) , which is equivalent to \\(M_{2}N_{2} \\parallel MN\\) . Angle chasing in circle \\(MM_{2}DH\\) gives \n\n\\[\\angle OM_{2}H = \\angle MM_{2}H = \\angle MDH = \\angle ADH = 90^{\\circ} - \\angle EAD = 90^{\\circ} - \\angle NAM = \\angle O'M N,\\] \n\nfrom which it follows that \\(M_{2}H \\parallel MN\\) . Similarly, we have \\(N_{2}H \\parallel MN\\) , and the two facts together imply that \\(M_{2}, H, N_{2}\\) are collinear and the line through them is parallel to \\(MN\\) , as claimed. \\(\\square\\)\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 2'."}} -{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "We compute using linear combinations with respect to \\(A D E\\) . We have \\(B = 2D - E\\) \\(C = 2E - D\\) \\(M = \\frac{A + D}{2}\\) , and \\(N = \\frac{A + E}{2}\\) , from which we immediately obtain that the intersection of \\(T = B M\\cap C N\\) is \\(T = \\frac{3A + D + E}{5} = \\frac{6M - B}{5} = \\frac{6N - C}{5}\\) . As in solution 2, we reduce to showing that \\(T\\) is on the radical axis of \\(H D M\\) and \\(H E N\\) , whence \\(T M\\cdot T P = T N\\cdot T Q\\) proves the concyclicity of \\(P,Q,N,M\\) \n\nSynthetic finish, similar to Solution 2. Let \\(O\\) be the circumcentre of \\(A D E\\) and \\(O^{\\prime} = \\frac{A + O}{2}\\) be the circumcentre of \\(A M N\\) . As in Solution 2, we have that \\(O^{\\prime}\\) is on the desired radical axis, so it is enough to show \\(T\\in O^{\\prime}H\\) . Let \\(G = \\frac{A + D + E}{3}\\) be the barycentre of \\(A D E\\) . By properties of the Euler line, we also have \\(G = \\frac{H + 2O}{3}\\) . Now using our known identities we find \n\n\\[T = \\frac{3A + D + E}{5} = \\frac{2A + 3G}{5} = \\frac{2A + H + 2O}{5} = \\frac{H + 4O^{\\prime}}{5}\\] \n\nand in particular \\(T\\in H O^{\\prime}\\) , as we wanted to show. \n\nComputational finish. Let \\(f(T)\\) be the power difference at \\(T\\) w.r.t. \\(D H M\\) and \\(E H N\\) . We compute \\(f(A)\\) and \\(f(L)\\) where \\(L = \\frac{D + E}{2}\\) . Since \\(T = \\frac{3A + 2L}{5}\\) , it is enough to show that \\(3P(A) + 2P(L) = 0\\) . In the following all lengths are directed. We compute trigonometrically: Let \\(\\alpha ,\\beta ,\\gamma\\) be the angles of \\(A D E\\) and assume the diameter of its circumcircle is 1. We have \n\n\\[f(A) = \\frac{A D^{2} - A E^{2}}{2} = \\frac{\\sin^{2}(\\gamma) - \\sin^{2}(\\beta)}{2}.\\] \n\nTo compute \\(P(L)\\) , let \\(D^{\\prime},E^{\\prime}\\) be the second intersection points of \\(H M D,H N E\\) with \\(D E\\) , and let \\(M^{\\prime},N^{\\prime},F\\) be the feet of the perpendiculars from \\(H\\) to \\(A D,A E,D E\\) , respectively. Note that \\(D M^{\\prime} =\\) \\(\\sin \\alpha \\cos \\beta\\) , thus \n\n\\[M^{\\prime}M = D M - D M^{\\prime} = \\frac{\\sin(\\alpha + \\beta)}{2} - \\sin \\alpha \\cos \\beta = \\frac{\\sin(\\beta - \\alpha)}{2}.\\] \n\nWe also have \\(H M^{\\prime} = \\cos \\alpha \\cos \\beta\\) , \\(H F = \\cos \\beta \\cos \\gamma\\) , and \\(H M^{\\prime}M\\sim H F D^{\\prime}\\) , therefore \n\n\\[F D^{\\prime} = \\frac{H F}{H M^{\\prime}} M^{\\prime}M = \\frac{\\cos\\gamma\\sin(\\beta - \\alpha)}{\\cos\\alpha}\\] \n\nand similarly \n\n\\[E^{\\prime}F = \\frac{\\cos\\beta\\sin(\\gamma - \\alpha)}{\\cos\\alpha}.\\]\n\n\n\nWe also have the standard \\(FD = \\sin \\gamma \\cos \\beta\\) and \\(EF = \\sin \\beta \\cos \\gamma\\) . We can finally compute \n\n\\[f(L) = LD\\cdot LD^{\\prime} - LE\\cdot LE^{\\prime} = \\frac{\\sin\\alpha}{2} (LD^{\\prime} + LE^{\\prime}) = \\frac{\\sin\\alpha}{2} (FD^{\\prime} + FE^{\\prime} - FD - FE)\\] \\[\\qquad = \\frac{\\sin\\alpha}{4\\cos\\alpha} (\\cos \\gamma \\sin (\\beta -\\alpha) - \\cos \\beta \\sin (\\gamma -\\alpha) - 2\\cos \\alpha (\\sin \\gamma \\cos \\beta -\\sin \\beta \\cos \\gamma))\\] \\[\\qquad = \\frac{3\\sin\\alpha\\sin(\\beta - \\gamma)}{4} = \\frac{3}{4} (\\sin (\\beta +\\gamma)\\sin (\\beta -\\gamma)) = \\frac{3}{8} (\\cos (2\\gamma) - \\cos (2\\beta))\\] \\[\\qquad = \\frac{3}{4} (\\sin^{2}(\\beta) - \\sin^{2}(\\gamma)) = -\\frac{3}{2} f(A).\\quad \\square\\] \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 3. "}} +{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "Let \\(X\\) be the second intersection of \\((D H M)\\) and \\((E H N)\\) and let \\(O^{\\prime}\\) be the circumcentre of \\((A M N)\\) Note that \\(\\angle M X N = \\angle M D H + \\angle N E H = 180^{\\circ} - 2\\angle D A E\\) and since \\(\\angle M O^{\\prime}N = 2\\angle D A E\\) we have that \\(X,M,O^{\\prime},N\\) is cyclic and since \\(\\angle M X H = \\angle N X H\\) it means that \\(H X\\) is the angle bisector of \\(\\angle M X N\\) but since \\(O^{\\prime}M = O^{\\prime}N\\) it means that \\(H,X,O^{\\prime}\\) are collinear. Let \\(B M\\) and \\(C N\\) intersect at \\(T\\) and let \\(K\\) and \\(L\\) be the midpoints of \\(M N\\) and \\(B C\\) . Note that \\(L\\) is also the midpoint of \\(D E\\) . Since \\(M N\\) is parallel to \\(B C\\) it means that \\(T\\) , \\(K\\) , and \\(L\\) are collinear, but since \\(A\\) , \\(K\\) , and \\(L\\) are collinear we get that \\(A\\) , \\(T\\) , \\(K\\) , and \\(L\\) are collinear. Now, \\(\\frac{T L}{T K} = \\frac{B C}{M N} = 6\\) . Since \\(K L = K A\\) it means that \\(\\frac{A T}{T K} = \\frac{T L - 2T K}{T K} = 4\\) so by the lemma below, \\(T\\) lies on \\(H O^{\\prime}\\) . Since \\(H O^{\\prime}\\) is the radical axis of \\((D H M)\\) and \\((E H N)\\) we finish the problem using the Radical Axes Theorem \\((T M\\cdot T P = T N\\cdot T Q)\\) .\n\n\n\nLemma. Let \\(A^{\\prime}\\) be the reflection of \\(A\\) around the orthocentre \\(H\\) of \\(\\triangle ABC\\) and \\(O\\) and \\(M\\) be the circumcentre of \\(\\triangle ABC\\) and the midpoint of \\(BC\\) , respectively. Let \\(T\\) be the intersection of \\(A^{\\prime}O\\) and \\(AM\\) . Then \\(\\frac{AT}{TM} = 4\\) . \n\nProof. Since \\(OM \\parallel AA'\\) we have \\(\\frac{AT}{TM} = \\frac{AA'}{OM} = \\frac{2AH}{OM} = \\frac{4OM}{OM} = 4\\) . We used here that \\(AH = 2OM\\) . \\(\\square\\) \n\n![md5:33c928cfe95e89ef9ab049d5028e7524](33c928cfe95e89ef9ab049d5028e7524.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 2. "}} +{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "As in solution 2, we will prove that \\(O'\\) is both on line \\(HT\\) and the radical axis of the circles, hence \\(T\\) is on the radical axis, from which we conclude the required concyclicity. We present alternative proofs of both facts, discovered by contestants. \n\nLet \\(M_{1}\\) , \\(N_{1}\\) be the midpoints of \\(AM\\) , \\(AN\\) , respectively, so that \\(AM_{1}:M_{1}D = AN_{1}:N_{1}E = 1:3\\) . It is easy to verify (e.g. by applying the theorems of Ceva or Menelaus, or by computing in barycentric coordinates as in Solution 3) that \\(T\\) lies on \\(EM_{1}\\) and \\(DN_{1}\\) . Note that \\(M_{1}N_{1} \\parallel DE\\) , and also \\(M_{1}O' \\parallel HE\\) as both are perpendicular to \\(AMD\\) , and similarly \\(N_{1}O' \\parallel HD\\) . It follows that \\(DEH\\) and \\(N_{1}M_{1}O'\\) are homothetically similar triangles, and the center of their (negative) homothety is \\(T = DN_{1} \\cap EM_{1}\\) . Therefore \\(T\\) also lies on \\(HO'\\) , as claimed. (We also have that the homothety is by factor \\(\\frac{M_{1}N_{1}}{ED} = -\\frac{1}{4}\\) .) \n\nNow, let \\(M_{2}\\) , \\(N_{2}\\) be the second intersection points of \\(O'M\\) , \\(O'N\\) with the circumcircles of \\(HMD\\) , \\(HNE\\) , respectively. To prove that \\(O'\\) is on the radical axis, it suffices to show that \\(O'M \\cdot O'M_{2} = O'N \\cdot O'N_{2}\\) . But by definition of \\(O'\\) we have \\(O'M = O'N\\) , so we must show \\(O'M_{2} = O'N_{2}\\) , which is equivalent to \\(M_{2}N_{2} \\parallel MN\\) . Angle chasing in circle \\(MM_{2}DH\\) gives \n\n\\[\\angle OM_{2}H = \\angle MM_{2}H = \\angle MDH = \\angle ADH = 90^{\\circ} - \\angle EAD = 90^{\\circ} - \\angle NAM = \\angle O'M N,\\] \n\nfrom which it follows that \\(M_{2}H \\parallel MN\\) . Similarly, we have \\(N_{2}H \\parallel MN\\) , and the two facts together imply that \\(M_{2}, H, N_{2}\\) are collinear and the line through them is parallel to \\(MN\\) , as claimed. \\(\\square\\)\n\n\n![md5:a1349e2b0d6dbddf473be279a244f481](a1349e2b0d6dbddf473be279a244f481.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 2'."}} +{"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "We compute using linear combinations with respect to \\(A D E\\) . We have \\(B = 2D - E\\) \\(C = 2E - D\\) \\(M = \\frac{A + D}{2}\\) , and \\(N = \\frac{A + E}{2}\\) , from which we immediately obtain that the intersection of \\(T = B M\\cap C N\\) is \\(T = \\frac{3A + D + E}{5} = \\frac{6M - B}{5} = \\frac{6N - C}{5}\\) . As in solution 2, we reduce to showing that \\(T\\) is on the radical axis of \\(H D M\\) and \\(H E N\\) , whence \\(T M\\cdot T P = T N\\cdot T Q\\) proves the concyclicity of \\(P,Q,N,M\\) \n\nSynthetic finish, similar to Solution 2. Let \\(O\\) be the circumcentre of \\(A D E\\) and \\(O^{\\prime} = \\frac{A + O}{2}\\) be the circumcentre of \\(A M N\\) . As in Solution 2, we have that \\(O^{\\prime}\\) is on the desired radical axis, so it is enough to show \\(T\\in O^{\\prime}H\\) . Let \\(G = \\frac{A + D + E}{3}\\) be the barycentre of \\(A D E\\) . By properties of the Euler line, we also have \\(G = \\frac{H + 2O}{3}\\) . Now using our known identities we find \n\n\\[T = \\frac{3A + D + E}{5} = \\frac{2A + 3G}{5} = \\frac{2A + H + 2O}{5} = \\frac{H + 4O^{\\prime}}{5}\\] \n\nand in particular \\(T\\in H O^{\\prime}\\) , as we wanted to show. \n\nComputational finish. Let \\(f(T)\\) be the power difference at \\(T\\) w.r.t. \\(D H M\\) and \\(E H N\\) . We compute \\(f(A)\\) and \\(f(L)\\) where \\(L = \\frac{D + E}{2}\\) . Since \\(T = \\frac{3A + 2L}{5}\\) , it is enough to show that \\(3P(A) + 2P(L) = 0\\) . In the following all lengths are directed. We compute trigonometrically: Let \\(\\alpha ,\\beta ,\\gamma\\) be the angles of \\(A D E\\) and assume the diameter of its circumcircle is 1. We have \n\n\\[f(A) = \\frac{A D^{2} - A E^{2}}{2} = \\frac{\\sin^{2}(\\gamma) - \\sin^{2}(\\beta)}{2}.\\] \n\nTo compute \\(P(L)\\) , let \\(D^{\\prime},E^{\\prime}\\) be the second intersection points of \\(H M D,H N E\\) with \\(D E\\) , and let \\(M^{\\prime},N^{\\prime},F\\) be the feet of the perpendiculars from \\(H\\) to \\(A D,A E,D E\\) , respectively. Note that \\(D M^{\\prime} =\\) \\(\\sin \\alpha \\cos \\beta\\) , thus \n\n\\[M^{\\prime}M = D M - D M^{\\prime} = \\frac{\\sin(\\alpha + \\beta)}{2} - \\sin \\alpha \\cos \\beta = \\frac{\\sin(\\beta - \\alpha)}{2}.\\] \n\nWe also have \\(H M^{\\prime} = \\cos \\alpha \\cos \\beta\\) , \\(H F = \\cos \\beta \\cos \\gamma\\) , and \\(H M^{\\prime}M\\sim H F D^{\\prime}\\) , therefore \n\n\\[F D^{\\prime} = \\frac{H F}{H M^{\\prime}} M^{\\prime}M = \\frac{\\cos\\gamma\\sin(\\beta - \\alpha)}{\\cos\\alpha}\\] \n\nand similarly \n\n\\[E^{\\prime}F = \\frac{\\cos\\beta\\sin(\\gamma - \\alpha)}{\\cos\\alpha}.\\]\n\n\n\nWe also have the standard \\(FD = \\sin \\gamma \\cos \\beta\\) and \\(EF = \\sin \\beta \\cos \\gamma\\) . We can finally compute \n\n\\[f(L) = LD\\cdot LD^{\\prime} - LE\\cdot LE^{\\prime} = \\frac{\\sin\\alpha}{2} (LD^{\\prime} + LE^{\\prime}) = \\frac{\\sin\\alpha}{2} (FD^{\\prime} + FE^{\\prime} - FD - FE)\\] \\[\\qquad = \\frac{\\sin\\alpha}{4\\cos\\alpha} (\\cos \\gamma \\sin (\\beta -\\alpha) - \\cos \\beta \\sin (\\gamma -\\alpha) - 2\\cos \\alpha (\\sin \\gamma \\cos \\beta -\\sin \\beta \\cos \\gamma))\\] \\[\\qquad = \\frac{3\\sin\\alpha\\sin(\\beta - \\gamma)}{4} = \\frac{3}{4} (\\sin (\\beta +\\gamma)\\sin (\\beta -\\gamma)) = \\frac{3}{8} (\\cos (2\\gamma) - \\cos (2\\beta))\\] \\[\\qquad = \\frac{3}{4} (\\sin^{2}(\\beta) - \\sin^{2}(\\gamma)) = -\\frac{3}{2} f(A).\\quad \\square\\] \n\n![md5:74efbddd0a29cbc1175d0f3b5702823a](74efbddd0a29cbc1175d0f3b5702823a.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 3. "}} {"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "Let \\(T = BM\\cap CN\\) , let \\(F\\) be the foot of the altitude from \\(A\\) to \\(BC\\) , let \\(O\\) be the circumcentre of \\((ADE)\\) , let \\(D^{\\prime}\\neq D\\) and \\(E^{\\prime}\\neq E\\) be the second intersections of \\((DHMP)\\) and \\((EHNQ)\\) with line \\(BC\\) and let \\(U\\) and \\(V\\) be the antipodes of \\(D\\) and \\(E\\) on \\((DHMP)\\) and \\((EHNQ)\\) , respectively. \n\nWe begin with a bit of barycentric coordinates. Set barycentric coordinates in \\(\\triangle ABC\\) , set so that \\(A = (1,0,0)\\) , \\(B = (0,1,0)\\) , and \\(C = (0,0,1)\\) . The definitions of \\(D\\) and \\(E\\) give \\(D = (0,2 / 3,1 / 3)\\) and \\(E = (0,1 / 3,2 / 3)\\) , whence \\(M = (1 / 2,1 / 3,1 / 6)\\) and \\(N = (1 / 2,1 / 6,1 / 3)\\) . This means that line \\(BM\\) is given by \\((1 / 2:y:1 / 6)\\) while line \\(CN\\) is given by \\((1 / 2:1 / 6:z)\\) . So their intersection \\(T\\) is \\((1 / 2:1 / 6:1 / 6) = (3:1:1)\\) , giving \\(T = \\frac{3A + B + C}{5} = \\frac{3A + D + E}{5}\\) . \n\nOur next tool is the linearity of the power of a point. Let \\(f:\\mathbb{R}^{2}\\to \\mathbb{R}\\) be defined by \n\n\\[f(Z) = \\mathrm{Pow}_{(DHMP)}(Z) - \\mathrm{Pow}_{(EHNQ)}(Z).\\] \n\nIt suffices to show that \\(f(T) = 0\\) ; from there, the required concyclicity will follow from \\(TM\\cdot TP =\\) \\(TN\\cdot TQ\\) . The key observation is that \\(f\\) is a linear function. In particular, \\(f(T) = \\frac{3f(A) + f(D) + f(E)}{5}\\) So, we need only show that \\(3f(A) + f(D) + f(E) = 0\\) . Pick an arbitrary one- dimensional coordinate system on the line \\(BC\\) and let \\(\\tau\\) be the map from a point on \\(BC\\) to its coordinate. We compute \n\n\\[f(A) = AM\\cdot AD - AN\\cdot AE = \\frac{AD^2 - AE^2}{2} = \\frac{FD^2 - FE^2}{2}\\] \\[\\qquad = (\\tau (E) - \\tau (D))\\left(\\tau (F) - \\tau \\left(\\frac{D + E}{2}\\right)\\right),\\] \\[f(D) = -DE\\cdot DE^{\\prime} = (\\tau (E) - \\tau (D))(\\tau (D) - \\tau (E^{\\prime})),\\] \\[f(E) = ED\\cdot ED^{\\prime} = (\\tau (E) - \\tau (D))(\\tau (E) - \\tau (D^{\\prime})).\\] \n\nRearranging, it suffices to show that \\(3\\tau (F) = \\tau (D^{\\prime}) + \\tau (E^{\\prime}) + \\tau ((D + E) / 2)\\) . This can be rewritten as \\(3F = D^{\\prime} + E^{\\prime} + (D + E) / 2\\) . By projecting down to line \\(BC\\) , it suffices to show that the displacement vector \\(H + 2A - (O + U + V)\\) is perpendicular to line \\(BC\\) .\n\n\n\nWe do this using complex numbers. Let \\((A D E)\\) be the unit circle with \\(A = a\\) , \\(D = d\\) , and \\(E = e\\) , so that \\(O = 0\\) and \\(H = h = a + d + e\\) . Note that \\(U\\) satisfies \\(U M\\perp A D\\) and \\(U H\\perp D H\\perp A E\\) . Translating these conditions into equations, we have \\(u = a d\\overline{{u}}\\) and \\(u + a e\\overline{{u}} = h + a e\\overline{{h}}\\) . Rearranging gives \n\n\\[(d + e)u = d u + e(a d\\overline{{u}}) = d(h + a e\\overline{{h}}) \\Rightarrow u = \\frac{d h + a d e\\overline{{h}}}{d + e}.\\] \n\nComputing \\(v\\) similarly, we get that \n\n\\[v:= H + 2A - (O + U + V) = h + 2a - \\frac{(d + e)h + 2a d e\\overline{{h}}}{d + e} = 2\\left(a - \\frac{a d e\\overline{{h}}}{d + e}\\right) = -\\frac{2d e}{d + e}.\\] \n\nThis displacement vector \\(v\\) satisfies \\(v = d e\\overline{{v}}\\) and so it is orthogonal to line \\(D E\\) , as desired.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 4. "}} {"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "This solution uses almost exclusively complex numbers. As in other solutions, we reduce to showing that \\(H\\) , \\(S:= (D H M)\\cap (E H N)\\) , and \\(T:= B M\\cap C N\\) are collinear; this is all of the synthetic information we shall use. (If one computes \\(T = \\frac{3A + D + E}{5}\\) using means other than complex numbers, the solution becomes much shorter.) \n\nWe use complex numbers with \\(A = a\\) , \\(D = d\\) , and \\(E = e\\) on the unit circle. Note that \\(H = a + d + e\\) , \\(M = \\frac{a + d}{2}\\) , and \\(B = 2d - e\\) . We will make great use of the \"arbitrary line intersection formula,\" which says that the intersection between lines \\(W X\\) and \\(Y Z\\) can be written explicitly as \n\n\\[\\frac{(\\overline{{u}} x - w\\overline{{x}})(y - z) - (w - x)(\\overline{{y}} z - y\\overline{{z}})}{(\\overline{{w}} - \\overline{{x}})(y - z) - (w - x)(\\overline{{y}} - \\overline{{z}})}.\\] \n\nWe first use this to find \\(T = t\\) . We compute \n\n\\[b - m = (2d - e) - \\frac{a + d}{2} = \\frac{3d - a - 2e}{2}\\] \\[\\overline{{b}} - m = \\frac{3a e - d e - 2a d}{2a d e}\\] \\[\\overline{{b}} m - b\\overline{{m}} = \\frac{2e - d}{d e}\\cdot \\frac{a + d}{2} -(2d - e)\\cdot \\frac{a + d}{2a d}\\] \\[\\qquad = \\frac{a(a + d)(2e - d) - (2d - e)(a + d)e}{2a d e} = \\frac{(a + d)(2a e + e^{2} - a d - 2d e)}{2a d e}.\\] \n\nIf \\(\\mathcal{E}\\) is some expression, we use the notation \\(\\mathcal{E} - \\{\\sim \\}\\) to denote \\(\\mathcal{E}\\) minus the expression formed by swapping \\(d\\) and \\(e\\) in \\(\\mathcal{E}\\) . We now have \n\n\\[t = \\frac{(\\overline{{b}}m - b\\overline{{m}})(c - n) - \\{\\sim\\}}{(\\overline{{b}} - \\overline{{m}})(c - n) - \\{\\sim\\}}\\] \\[\\quad = \\frac{(a + d)(2a e + e^{2} - a d - 2d e)(3e - a - 2d) - \\{\\sim\\}}{(3a e - d e - 2a d)(3e - a - 2d) - \\{\\sim\\}}\\] \\[\\quad = \\frac{[a^{3}(d - 2e) + a^{2}(3d^{2} - 7d e + 5e^{2}) + a(2d^{3} - d^{2}e - 3d e^{2} + 3e^{3}) + d e(4d^{2} - 8d e + 3e^{2})] - \\{\\sim\\}}{[a^{2}(2d - 3e) + a(4d^{2} - 11d e + 9e^{2}) + d e(2d - 3e)] - \\{\\sim\\}}\\] \\[\\quad = \\frac{a^{3}(3(d - e)) - a^{2}(2(d^{2} - e^{2})) + a(-(d^{3} - e^{3}) + 2d e(d - e)) + d e(d^{2} - e^{2})}{a^{2}(5(d - e)) - a(5(d^{2} - e^{2})) + d e(5(d - e))}\\] \\[\\quad = \\frac{3a^{3} - 2a^{2}(d + e) - a(d^{2} - d e + e^{2}) + d e(d + e)}{5(a^{2} - a(d + e) + d e)}\\] \\[\\quad = \\frac{(a - d)(a - e)(3a + d + e)}{5(a - d)(a - e)} = \\frac{3a + d + e}{5}.\\] \n\n(The factorization in the last line can be motivated by noting that the expression, while cubic in \\(a\\) , is only quadratic in \\(d\\) . When written out as a polynomial in \\(d\\) , each coefficient is divisible by \\(a - e\\) ; by symmetry, the numerator is divisible by \\(a - d\\) as well, and the factorization follows.)\n\n\n\nComputing \\(S = s\\) is slightly harder, as it is the intersection of two circles rather than of two lines. We get around this by noting that \\(\\{h,d,m,s\\}\\) are concyclic if and only if \\(\\{0,h - d,h - m,h - s\\}\\) are concyclic, which happens if and only if \\(\\{\\frac{1}{h - d},\\frac{1}{h - m},\\frac{1}{h - s}\\}\\) are collinear. (One can see this by inversion, or just by writing out the cross- ratio in the special case when one of the points is zero.) Thus \\(\\frac{1}{h - s}\\) is the intersection of the line through \\(w:= \\frac{1}{h - d}\\) and \\(x:= \\frac{1}{h - m}\\) and the line through \\(y:= \\frac{1}{h - e}\\) and \\(z:= \\frac{1}{h - n}\\) . We compute \n\n\\[w - x = \\frac{1}{a + e} -\\frac{1}{\\frac{a + d}{2} + e} = -\\frac{a - d}{(a + e)(a + d + 2e)}\\] \\[\\overline{w - x} = \\frac{ae^{2}(a - d)}{(a + e)(2ad + ae + de)}\\] \\[\\overline{w} x - w\\overline{x} = \\frac{ae}{a + e}\\cdot \\frac{2}{a + d + 2e} -\\frac{1}{a + e}\\cdot \\frac{2ade}{2ad + ae + de}\\] \\[\\qquad = 2ae\\frac{(2ad + ae + de) - d(a + d + 2e)}{(a + e)(a + d + 2e)(2ad + ae + de)}\\] \\[\\qquad = \\frac{2ae(a - d)(d + e)}{(a + e)(a + d + 2e)(2ad + ae + de)}.\\] \n\nUsing the line intersection formula, we have \n\n\\[\\frac{1}{h - s} = \\frac{(\\overline{w} x - w\\overline{x})(y - z) - \\{\\sim\\}}{(\\overline{w} - \\overline{x})(y - z) - \\{\\sim\\}}\\] \\[= \\frac{[\\frac{2ae(a - d)(d + e)}{(a + e)(a + d + 2e)(2ad + ae + de)}] - \\{\\sim\\}}{[\\frac{ae^{2}(a - d)}{(a + e)(2ad + ae + de)}] - \\{\\sim\\}}\\] \\[= 2(d + e)\\frac{[e(ad + 2ae + de)] - \\{\\sim\\}}{[e^{2}(a + d + 2e)(ad + 2ae + de)] - \\{\\sim\\}}\\] \\[= 2(d + e)\\frac{[a(de + 2e^{2}) + de^{2}] - \\{\\sim\\}}{[a^{2}(de^{2} + 2e^{3}) + a(d^{2}e^{2} + 5de^{3} + 4e^{4}) + de(de^{2} + 2e^{3})] - \\{\\sim\\}}\\] \\[= \\frac{2(d + e)(a(2(e^{2} - d^{2})) + de(e - d))}{(a^{2} + de)(2(e^{3} - d^{3}) + de(e - d)) + a(4(e^{4} - d^{4}) + 5de(e^{2} - e^{2}))}\\] \\[= \\frac{2(d + e)(2a(d + e) + de)}{(a^{2} + de)(2d^{2} + 3de + 2e^{2}) + a(d + e)(4d^{2} + 5de + 4e^{2})}.\\] \n\nSince \\(h - t = \\frac{2a + 4d + 4e}{5}\\) , this gives us \n\n\\[\\frac{h - s}{h - t} = \\frac{5}{4}\\cdot \\frac{(a^{2} + de)(2d^{2} + 3de + 2e^{2}) + a(d + e)(4d^{2} + 5de + 4e^{2})}{(d + e)(2ad + 2ae + de)(a + 2d + 2e)}.\\] \n\nIt is easy to see that this is real by using the symmetry of the expressions (both the numerator and denominator satisfy \\(\\mathcal{E} = a^{2}d^{3}e^{3}\\overline{\\mathcal{E}}\\) . We conclude that \\(H\\) , \\(S\\) , and \\(T\\) are collinear, as desired.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 5. "}} {"year": "2025", "tier": "T2", "problem_label": "3", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle. Points \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) lie on a line in this order and satisfy \\(B D =\\) \\(D E = E C\\) . Let \\(M\\) and \\(N\\) be the midpoints of \\(A D\\) and \\(A E\\) , respectively. Let \\(H\\) be the orthocentre of triangle \\(A D E\\) . Let \\(P\\) and \\(Q\\) be points on lines \\(B M\\) and \\(C N\\) , respectively, such that \\(D\\) , \\(H\\) , \\(M\\) , and \\(P\\) are concyclic and \\(E\\) , \\(H\\) , \\(N\\) , and \\(Q\\) are concyclic. Prove that \\(P\\) , \\(Q\\) , \\(N\\) , and \\(M\\) are concyclic. \n\nThe orthocentre of a triangle is the point of intersection of its altitudes.", "solution": "As usual, we reduce to proving \\(T = (3A + D + E) / 5\\) is on the radical axis and compute; this time in Cartesian coordinates. \n\nLet \\(A(0,h)\\) , \\(D(b,0)\\) , \\(E(c,0)\\) be coordinates for \\(ADE\\) . Then \\(H(0, - \\frac{b c}{h})\\) , \\(M(\\frac{b}{2},\\frac{h}{2})\\) , \\(N(\\frac{c}{2},\\frac{h}{2})\\) and \\(T(\\frac{b + c}{5},\\frac{3h}{5})\\) . We compute \\(O_{D}(x_{D},y_{D})\\) the circumcentre of \\(DMH\\) and obtain \\(O_{E}\\) by symmetry. We then have to verify that \\(O_{D}O_{E} \\perp HT\\) , which can be done by comparing slopes. \n\nThe centre \\(O_{D}\\) can be given by the intersection of perpendicular bisectors of \\(DM\\) and \\(DH\\) . This gives the following system of equations on \\(x_{D},y_{D}\\) :\n\n\n\n\\[h\\cdot x_{D} + c\\cdot y_{D} = \\frac{b h}{2} -\\frac{b c^{2}}{2 h}\\] \\[-b\\cdot x_{D} + h\\cdot y_{D} = -\\frac{3 b^{2}}{4} +\\frac{h^{2}}{4}\\] \n\nSolving the system gives \n\n\\[(h^{2} + b c)x_{D} = \\frac{3 b^{2}c}{4} -\\frac{b c^{2}}{2} +\\frac{h^{2}b}{2} -\\frac{h^{2}c}{4}\\] \\[(h^{2} + b c)y_{D} = -\\frac{h b^{2}}{4} +\\frac{h^{3}}{4} -\\frac{b^{2}c^{2}}{2 h}\\] \n\nThe formulas for \\(x_{E}, y_{E}\\) will be the same, swapping \\(b \\leftrightarrow c\\) by symmetry; thus \\(y_{D} - y_{E}\\) and \\(x_{D} - x_{E}\\) will be antisymmetric in \\(b, c\\) and divisible by \\(b - c\\) , and explicitly: \n\n\\[(h^{2} + b c)(x_{D} - x_{E}) = \\frac{b - c}{4} (5b c + 3h^{2})\\] \\[(h^{2} + b c)(y_{D} - y_{E}) = -\\frac{b - c}{4} h(b + c)\\] \n\nSo \\(\\frac{y_{D} - y_{E}}{x_{D} - x_{E}} = -\\frac{h(b + c)}{5b c + 3h^{2}}\\) . \n\nThe other slope is more immediate: \n\n\\[\\frac{y_{T} - y_{H}}{x_{T} - x_{H}} = \\frac{3h / 5 + b c / h}{(b + c) / 5} = \\frac{5b c + 3h^{2}}{h(b + c)} = -\\frac{x_{D} - x_{E}}{y_{D} - y_{E}}\\] \n\nso indeed the two slopes correspond to perpendicular lines.\n\n\n\n## Day 2", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P3.", "solution_match": "\nSolution 6. "}} -{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "We will prove that \\(\\triangle B I R\\sim \\triangle C I S\\) , since the statement then follows from \\(\\angle T R I = \\angle B R I = \\angle C S I =\\) \\(\\angle T S I\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAJiAwcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorjPG3ii90W80aDT9ojl1S1gvpSAdkUj42jPc4P0A/2ga7OgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqep6jFplk1xJhmLCOKPcAZZGOFQZ7kkCrlUr7RtL1OSKTUNNs7t4v9W1xAshT6Eg4oA84+I2natpfw9ur67v7KY297b303l2jI7P5ydHMh4AIA+X7qgV6pVTUNK07Vo1j1GwtbyNDlVuIVkAPqAwNTW9tBaW6W9tDHDCgwkcahVUewHAoAloopskiQxtJK6oijJZjgD8aAHUVzk/jbSfNaDTxcarOODHp8RlA+rfdH50z7X4v1H/j306x0qI/x3cpmkx6hUwAfqaAOmqvdX9nYpuu7uC3X1mkCD9TWD/wit7d86r4l1O49Y7YrbRn2wgz+tWLXwX4ctH3ppNvJJ/fnBmbP1fNAEcvjrw5G5jj1JbiQfw20bzE/98gimf8ACXmX/j08O67PnoxtfLU/i5FdFFDFAgSGNI0HRUUAfpT6AOa/t3xJJ/qfCMgHYz38SfoMmj7d4xk+7oumRe0l8zY/JK6WigDmvM8bHpbaAvsZ5j/7LRv8bD/lh4fI/wCu0w/9lrpaKAOa+2eMk+9pGlS/9c7x1/mlH9t+J4/9b4S3DuYNRjb9GArpaKAOa/4S2eLi78M65Ee5jgWVR/3yxP6UqeO/D24JcXklpIf4LqCSLH4sMfrXSU10WRSrqGU9QRkGgCrZ6rp2oD/Qr+1uf+uMyv8AyNXKxbzwh4evzun0e039d8cflt+a4NU/+EQe150nXtVscfdjabz4h/wGTP8AOgDpqK5nf4x0770WnaxEP7jG2lP4HK/ypU8a2MDiPV7S90mQ8Zu4T5ZPtIuV/UUAdLRUVtdW95Cs1rPFPE3R4nDKfxFS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZWr+ItN0UpHcys9zJ/qrWFS8sh/2VHP49KANWvO7X41+DrvXZtJhnvGlRikcq25ZJ2H8KYJJJ7ZABq3q9/4gubBrm6Y6LaOQkNtAQ95Ox6Lu6Jn2yRzXmOkfCe10W+uPEJlnmh026CyW0TFTGNoLMrA5JQsCPpVUo+0qKnfVkOaTsev/b/E+s8afp8ekWrf8vF/88xHqIhwD/vGnx+CrKeVZ9aubrWJwcj7W/7tT/sxjCgfgapwW2tW0STaVr/2qBlDJHfoJQwPT51w386sr4l1Sz41TQZmUdZrBxMp99pww/Wul4OX2Gn+D+52/C4+budJBBDbRLFBEkUa9EjUKB+AqSsex8VaJqL+XBqESzdDDN+7cH02tg1sVzzpzpu000/MadwoooqBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTXRZEKOoZWGCpGQRTqKAOdufBekvObmwE2lXZ/5bWEnlZ+q/dP4iofM8WaN/rEt9dtR/FHiC4A/3fut+GM11FFAGLpfirS9Un+yrK9tej71pdoYpR/wE9fwzW1VDVNF03WoPJ1GziuFH3Sw+Zf91hyPwrF/svxBoIDaRe/2pZr/AMuV+/7wD0SX+jce9AHU0ViaV4osNSuDZSCWy1FR81ndLsk+q9mHuM1t0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV72+tdOtHur24jggQZZ5GwBWVrHiWOxul06xgbUNWcZW1iP3B/ekboi/Wq9j4YkubtNS8Rzpf3qnMUIGLe3/3FPU/7R5oAhGo634m+XSUbS9MP/L/AHCfvpR/0zjPQf7TevArS07Q9J8OQTXSL+92l7i8uG3yv6lnPP4DitmuV1CY+ItTawjOdLtHH2lh0nkHIj+g6mpk7EylZDbESa1qA1q6RlhUFbGFv4UPVyP7zfyq54RQS6HLcMAReXM0xBHUFyP5CpNQmFppl1OOPKhZx+AJqz4ct/svhvTocYIt0JHuRk/qamKtIziveMGyQ+HtYbRJCfsU+6XT3PYdWi/DqPY1uUuvaQus6Y0Cv5VxGwlt5h1jkH3T/Q+xrN0XUm1KyJmTyryBjFcw/wByQdfwPUexr1HL20Pa9ev+fz6+fqXtoT3mm2WoJsvLSGcdvMQHH0Pas1fDhsudI1S+0/HSNZPMi/74fNblFKNapFWT07dPu2CyMldQ8UWHE1tZapEP4oWMEp9yDlf1FWIvGumIwj1GO60yQ8Yu4Sqk+zjK/rV6kZVdSrqGU8EEZBobpT+OH3af5r8A1NC2ure8iEtrcRTxno8Thh+YqauRm8L6VJKZoIGsp+0tm5hYf988fpSrB4k0/wD489XivYx0i1CLn/vtMH8xUPD05fBP71b8Vf8AQd31OtormF8VXdpxq2hXcI7zWpFwn1OPmA/CtPT/ABHo+qkLZ6jBJJ/zzLbX/wC+Tg/pWU8LVgruOndar70NSRqUUUVgMKKKKACiiigAooooAKKKKACiiigAooooAoarouna3biHULVJgpyjdGQ+qsOQfpWHjX/DAyDLrulr2OPtcI/lIPyNdXRQBR0rWLDWrT7TYXCzJnDAcMh9GB5B9jV6sHVvDEV3d/2lps7adqwHFzEOJPaRejj681Fp3iSWK9j0rX4FsdRbiKRTmC5942Pf/ZPNAHR0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUyaaO3heaaRY4kUs7ucBQO5NADyQBknAFcpca1feIrmSw8OOI7ZG2XOqsuVX1WIfxN79B+VRbrvxu5CGW08OA4LDKy3307rH+p/l1dvbQ2lvHb20SRQxrtREGAo9hQBT0fRLLQ7Uw2kZ3Od0s0h3SSt/eZupNaNFZ2s6qmkWJmKGWdyI4IR1kc9AKTdldibSV2Udf1KYyJo+nPi9uFy8g/5YRd3Pv2HvUllZw6fZxWtuu2KMYHqfUn3NVtJ097SOSe6cS39y3mXEvqeyj/ZHQVo1C11Zmrt8zMjxQzf8I9cxofnm2wr9WYL/WuoRFjjVFGFUAD6VzGsjzrzR7Uf8tL5HI9VQFj/ACFdTTjuxw+JsK5TxFbto+op4ht1JgYCLUI1HVP4ZMeq9/aurpskaSxvHIodHBVlYZBB6g100Kvsp33XVd1/X4ltXMtHWRFdGDKwyCDkEUtYemh9D1R9AnYmEgy6fIx+9H3jz6r/ACxW5XRUhyPTVPb0EmFFFFQAUUUUAFUb7R9N1If6ZZQTH+8yDcPoeoq9RTjKUXeLswMRdCurHnSNavbQDpFK3nxD22vyPzqZdX8SWPF3ptrqEY/5aWcvlvj1KPwT9DWrRWrrc38RKXrv96s/xFbsU4PGmjvIIruSbTpj/wAs76Ixf+PH5f1reiminjEkMiSRt0ZGBB/EVlSxRzxmOaNJEPVXUEH8DWO/hbTlkMtj5+nTH+OylMf/AI7939KzdKhLa8fxX6P8x3Z2FFckv/CUWH+ov7XUox/Bdx+W+PZk4J+oqdfF7WvGr6Pe2XrLGvnxD/gScj8qh4Sb+BqXpv8Ac7P8A5l1Omoqhp+t6Xqq5sb+3nP91HG4fUdRV+ueUJQdpKzKCiiipAKKKKACiiigAooooAKqajptnq1k9nfQJPA/VW7H1B7H3FW6KAORF3qHg9hHqMkt/oecJekbprX2lx95f9rqO/aurhmiuIUmhkWSJwGR0OQwPcGnModSrAFSMEEcEVyU2n3nhGZ73RonudIYl7nTV5aL1eH+ZT8vYA66iq2n6haarYxXtlMs1vKMq6/yPofarNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTZJEhieSR1SNAWZmOAAOpJoAbcXENrbyXFxIsUMalndzgKB3NcnDBP42nS7vUkh8Pxtut7VuGvCOkkg7J6L36miFJPG92t1OrJ4dgfMELDBvXB++w/55g9B36muwAAAAGAOgoARVCqFUAKBgADgCloooAjuLiK0t5LidxHFGpZ2PQAVzGnrLq1/wD23eIUXBWyhb/lnGf4j/tN/Ki9m/4STUzaoc6TZv8AvT2uJR/D7qvf1NbFZt8z8jJvmfkFFFFMZlsPP8Z6bGP+Xe2mnP8AwLCD+Zrp65vSR5/i7VJv+fe3hgH/AALLn+ldJRDqx09mwoooqyzI8Q6OdX04CBxFe27Ca1l/uSDpn2PQ/WqWj6kNUsBMUMU6MY54T1jkHDKf89K6SuS12E6Dq667EMWVxti1BR0U9El/Dofau3Dy9pH2L36f5fPp5+pL01NiikBBAIOQehFLUgFFFFABRRRQAUUUUAFFFFABRRRQBnX2g6VqLbrqxheTr5gG1/8AvoYP61WXSNTsedL166RR0huwJ0+gz8wH41tUVqq9RLlvddnqvuYrIy113X7HjUNGju0HWXT5ef8Avh8H8jVu18Y6JcyiGS6Nncd4bxDCw/764/I1ZqK4tbe7iMVzBHNGf4ZEDD8jSfsZ/FG3o/0d/wBB6myrq6hkYMp5BByDS1x3/CL2kDmTTLi702Q8/wCizEKT7ocr+lSrP4p0/pNZarEO0qmCU/iMr+lQ8NGX8Of36f5r8Q5u51lFcyvjOC3+XV9OvtOPeR4/Mi/77TP9K27HVLDUo99jeQXC9/KkDY+vpWNTD1aavKOnfp9+w00y3RRRWIwooooAKKKKAOV1HS7rQL6XWtCiMkch3X2nL0m9XjHaQen8X167+manaaxp8V7ZSiWCQcHuD3BHYj0q3XKapYXPh6/l17R4mlgkO7UbBP8AloO8qDs47j+L60AdXRVexvrbUrGG8s5Vlt5l3I69xVigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuQunfxlqcmnwsw0G0k23cqnH2uQf8slP9wfxHv096s+IL651C+Xw3pUpjuJk33lyv/LtCfT/AG26D8/et6wsbbTLGGys4hFbwrtRB2H+NAEyIscaoihUUAKqjAAHYU6iigArn9f1CaWZNF09yt1Ou6aUf8sIu5/3j0FXtb1ZdJsg6p5tzK3l28I6yOeg+ncms7SdOaxheS4k829uG8y4l/vN6D2HQCok7+6jObv7qLVpaQ2NpFbW6BIo12qP896moooAKKKR2CIzscKoyaAKXhYeY+r3R6y3zoD6qgCj+Rroaw/B8ZXwvZuw+ebdM3uWYn+RFblOHwodP4UFFFFUWFRzwRXNvJBMgeKRSjq3Qg8EVJRQnbVAcdpDS6TfS+H7tyxhXzLOVv8AlrD2H1XofbFblReJNIk1OySa0ITUbRvOtXP97up9mHBqvpWpR6rp8d0ilGOVkjbrG44ZT7g16E37WPtVv19e/wA/zuRtoXaKKKyGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWVd+G9IvZPNkso0m6iWHMbg+uVwa1aKqFSUHeLsFjGXTtbsOdO12WRB0h1BBMD/wADGGH61MviPWLLjU9CeVB1m0+QSA/8AOG/nWnRVuqpfxIp/g/wt+NxW7EVl4s0S+k8pL+OKfoYbgGJwfTDYz+FbQORkdKwruwtL+Py7u1hnX0kQNj86y18NR2Z3aTqF7px6hIpd8efdGyKh0aEvhbj66r71b8h3Z2NFcot74psP9ZFY6rEO6E28p/PK/yqePxpp8TBNTt7zTH6ZuYTsJ9nXIqHg6v2Pe9Nfw3/AADmR0lFQWt7a30Xm2lzDPH/AHonDD9KnrmaadmUcheRv4N1J9St1J0K6fN7Aoz9lc/8tVH90/xD8a61HSWNZI2V0YBlZTkEHoRRJGksbRyIro4KsrDIIPUEVymmSSeFdYj0O4Zm0q6Y/wBmzMc+U3UwMf1X8qQHW0UUhIUEkgAckmgDCg8Y6NdXNzbQNfSz2rBZ40064LREjIDDy+CRzWlpuqWOr2puLC5SeJXMbFeqOOqsDyrDuDzXC/DrULuXQ9R1uPRr25Os6jcXqSI8Kgpu2IPmkBwFQdq6Dwf4dutEXVbzUJUa+1a9e8mjiJMcOQAqKSBnAAy2Bk0AdNRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZXiDWRoummVI/Ou5mENrAOssp6D6dz7CtRmVFLMQqgZJJwAK5bQkbxFrD+JZwfskW6DTI2HROjS49W6D2FAGl4d0U6PYubiTz9QuW868uO8kh9P9kdAPStiiigAqG6uobK1lubiQRwxKWdj2FTVydzL/wAJLqnlqc6RZyc+lzKP5qv6mpk7EylbbcXTo5tTvTrd6hRnXbaQt/yxj9f95up/KtiiipSsQlYKKKKYwrO16f7NoF/LnBEDgfUjA/U1o1j+JB5unQ2n/P1dQw/m4J/QGlLZin8LOh0y3+yaVZ22MeVCifkoFWqKK0WhqlYKKKKACiiigArkdXi/4R7WxqqDGnXzCO8A6RS9Fl9geh/A111Q3drDfWktrcRiSGVSjqe4Nb0Kvs5a7PR+n9aoTVyhRWLo0s1hczaDfOWntRuglbrPB0VvqOhrarepDklb+mhJhRRRUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFIQGBDAEHqDS0UAY9x4Y0meXzo7b7LP2mtWMTD/vnH60i2viGw/wCPHWlu4x0i1GLcf++1wf0NbNZl74i0bTsi71O1iYdUMoLf98jmtfrE7Wk7rz1/P9BWQL4ov7TjVdBuVUf8trJhOn1xwwH4VJc6h4d8XabLpw1CItJ91S3lyxuOjANg5BrM/wCEvguP+QZpmp3+ejxWxRP++nwKzNZbVL6ykuNR0XRrC2jXLTahN5rKPbYOD7ZqX7Ce8ben+T/zQ9TotD8TRRsdG169trbWrdxCVllVDcg/dkQHruHYdDWn4jtNSv8AQ7ux0t7eKe5heHzpmYeVuUjcAAckZ6cV8z+Jvhx4q1iWTX7WFprAR7ow7bJEjUdVRmJ29SBkn25r6b8P3UF74d064tro3UT26bZ26vgAEn0OQcj1zXLKm17y27juReF9Kk0Pwzp2lSrCGs4EgzExIbaAN3IHJ6n61r0UVmMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiioL28g0+ynvLlwkMCGR29ABmgDn/E80mqXlt4YtHZWu1829kXrFbA8j6sflH410kMMdvBHBCipFGoREUYCgDAArn/CVnO1tca3fJtv9UYTMp/5ZRY/dx/gv6k10dABRRWXrmrDSrNfKTzbydvLtof77/4DqTSbsrsTaSuyjr9/NdXA0OwkKzyruuZl/wCWEX/xR6D86tWttDZ2sdtAgSKNdqqOwqrpWnHT7djLJ513M3mXEx6u5/oOgFX6hd2Zq71YUUUUxhRRRQAVlagPP8QaHbdvOknP/AEOP1YVq1m2w8/xsvdbawJ+jO+P5LSkKXRHS0UUVoahRRRQAUUUUAFFFFAGF4m0qa9tor6wAGpWLGSA/wB8fxRn2YcfXFM0zUIdU0+K8gyFkHKnqrdCp9weK6CuQ1CL/hHNf+1rxpepSBZh2hnPRvYN0PvXdQl7WHsnutv1X6r59yXpqbVFFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRSMyopZmCqOpJwBQAtFYt34t0CybZLqlu0nTZC3mtn6Lk1W/4Si4ueNN8P6nc56PKgt0P4uc/pSugOjornM+Lrzoul6bGfUtcSD/ANBWj/hGby651LxFqU/qluVt0P4KM/rRcDcur60sU33d1DAv96WQKP1rFfxpopcx2ks9/KP4LKB5T+YGP1qa18IaBaP5iaZDJJ/z0nzK2fXL5rZREjQJGioo6KowBRqBz39t67d/8eHhuSND0kvrhYsfVV3Gl+weKrz/AI+dZs7Fe62VtvP/AH05/pXRUUWA53/hDbKf/kJXupaj6rcXTBP++VwK0rLQ9K03H2PTrWAj+JIgG/PrWhWVrWuw6QscSxtc38/FvaRffkP9F9SelGiAn1XV7PRrM3N5IQudqIoy8jdlUdyaxrPSLzXLuPU/EEYSJDutdNzlYvRpP7z+3QVPpOhTG8Gr63ItzqZH7tV/1Vqp/hQevq3U10FG4BXJ6HP/AMId4ufQpDt0fVnabTyfuwz/AMcXsD1A/Dua6ysXxVoY1/QZrVDsukImtZAcFJV5Ug9vT8a1pyWsZ/C9/wDP5f8AABnX0VzHgbxMfEmhg3I2ajbHyruM8EMOM498H8c109cdSm6cnGXQadwoooqBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXLeI/8Aida3YeG1OYDi8v8AH/PJT8qH/ebH4CumllSCF5ZWCRopZmPQAck1zvg+J7q3u9fuFKz6rL5qBuqQLxEv5c/8CoA6WiiigCC8vILCzlurmQJDEu5mNc5psM99ePrV+hSaVdtvC3/LCLsP949T+VNll/4SXVAw50izk+T0uJR391X9TWzWd+Z36GV+Z36BRRRTGFFFFABRRRQAVQ0Aebr2uXPUB4oFP+6mT+rVfql4QG/S7m67XV5NKPpu2j/0Gl9pC+0joKKKK0NQooooAKKKKACiiigAqtf2NvqdhPZXSb4JkKMP6/WrNFNNxd1uByOiXNxDLPouoPuvbLGJD/y3iP3XH8j71s1U8T6ZPNFDqunpnUbHLIo/5bR/xRn6jp706wvoNSsIby2bdFKu4eo9QfcHiu+bVSKqx67+T/ye6+a6ELTQs0UUVkMKKjnuILaMyXE0cSD+KRgo/M1iTeM9BikMUV99rl7R2iNMT/3yCKVwN+iuc/4SHVrr/kHeGbwj+/eyLbgfgct+lH2bxbef62/03Tl9LeFpnH4uQP0ouB0dUb3WdM07P23ULaAj+GSUA/l1rK/4RFLjnU9X1S+z95GuDHGf+Apir1l4a0TTsG10u1Rh/GYwzf8AfRyaNQKP/CZ6fPxp1rqGpH1tbViv/fTYH60f2j4ovOLXQ7azU9Hvrrcf++UB/nXR0UWA5z+x/EF3/wAfviIwIesdhbKmPo7bjTl8FaO7B70XWoSD+O9uHk/TOP0roaKLICtaafZWC7bOzgt19Iowv8qs0UUwCiiigAooooAKKK5u/wBZu9TvZNJ8PlTKh23V8RmO29h/ef27d6QE+sa88F0NK0mFbvVpBnYT8kC/35D2Ht1NS6LoKaY0l3cTNd6nP/r7uQcn/ZUfwqPQVPo+jWmi2phtgzO53zTSHdJK3dmPc1o0AFFFFMAooooA4DU1m8JeOk1ezQm2vlLSxL/GV/1i/XHzj3U+ten21zDeWsVzbyCSGVQ6MOhB6Vy3ijTpNR0SQW3/AB+W7C4tj6SJyPz5H41U8IatHayW1qpxpmpqZ7Ek8QydXh/A5I/EVco+1p2+1H8V/wADf0v2QbM7miiiuEoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5rxlK9xY2uhwMVn1acW5K9ViHzSt/3yMfjXRRRJDEkUahY0UKqjoAOgrm7H/ia+PL+9PMGlwrZxenmv8APIR7gbVrp6ACuc169lvrr+wrGQq7ruvJl/5ZRn+Ef7Tfyq9rurHTLVEgQS31wfLtov7zep/2R1NU9K04adalWcy3ErGSeY9ZHPU/T0qJO/uozm7vlRat7eK1t44IECRRqFVR2FSUUUAFFFFABRRRQAUUUUAQ3k/2axuJz/yyjZ/yGaf4Yt/s3hjTYz18hXP1b5j/ADrM8TyMnhy8C/ekURAepYhf6100MSwwRxL91FCj6AYoXxBH4h9FFFWaBRRRQAUUVVvNTsNOXde3tvbL6zSqn8zQBaormm8daM7FLD7XqUg/gsbZ5P1wB+tJ/bXiW94sfDQt0PSXULpUx9UTcaAOmo6DJrmf7L8V3vN3r9tZKesdhaZ/8fkJP6Uf8IPpk/Op3Oo6mfS8u2K/98rgfpQBfvvFWg6aSLrVrRHHVBIGb/vkZNcM/iWPSdblfStL1G60vUZAUJgMMaXB7BnwMN1+tehWOi6XpgH2HTrW3I7xRKp/PGafqmnW+rabPY3K5imXBI6qexHuDzW9CryStL4Xv/XkJq5yX2jxdef6qx03TkP/AD8TNO4/BQB+tH/CPardf8hHxNesP7lmi24+mRk/rVzQ7y4In0zUD/xMbEhJD/z1X+GQexH65rXrapTcJcrEmYMHgzQYpBLJYi6l7yXbtMT/AN9EitqG3htoxHBDHEg6KihR+QqSiosAUUUUwCiiigAooooAKKKKACiiigAooooAKRmVFLMwVQMkk4AFRXV3b2NrJc3UyQwRjc7ucACuZWG78ZOJLlZbTQAcpAcrJee791T0HU/lSuAst9eeLJXtdKle20hSVnv14ab1WL29W/L36Kw0+10uyjtLKFYYIxhVX+Z9T71NFFHBEkUSLHGgCqijAUDsBT6LAFFFFMAooooAKKKKACuNt9NQ3+seHHYxAuNR0+QdYtx5K+m1wfwauyrm/E3/ABL9Q0jW14W3n+z3B/6ZS/Lk/Rtppxk4NSjugOh8Oau+q2DJdKI9QtW8m6jHZx/EPZhyK2K47VfM0bUY/EFsrMiL5d9Eo/1kP97HqvX6ZrroZY54UmicPHIoZGU5BB6GpxNNJqpD4X+D6r/LyBPoPooorlKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqG8uo7Gynu5jiKCNpHPsoyf5VNXNeN3aXQo9NjJEmp3UVmCOwZssf8AvkNQBL4LtZIPDMFxcD/Sr5mvZj6tId38iB+FbF9fQabZS3dy+yGJdzH+g96mVVjjCqAqKMADoAK5QynxLqguOuk2b/uR2uJR1f8A3R296mTtsTKVttyTTLee6upNZ1BNt1Ou2KI/8sIuy/U9TWtRRUpWISsgooopjCiiigAooooAKKzr7XtI03P2zUrWFh/C8o3fl1rN/wCEys7j/kGWGpajno1vasE/76bAoGXNcHnS6Va9fOv49w9VXLH+VdVXnEl54n1PxRpsdvpNnYvBHLOv2y48zIIC5ITp16Zrof7B8QXn/IQ8UTRoesWn26w4+jnc1Ed2KG7Z0kkkcKF5HVEHVmOAKw7rxr4dtJPLbVYZZegjt8zMT6YQGoY/AuhbxLeQT6hMP+Wl9cPMT+BOP0rctbCzsY/Ls7WC3T+7DGEH6VZoYP8AwlV9d8aX4Y1Of0e5C2yH3yxz+lG3xnfdZNJ0uM/3Ve4kX89q101FAHM/8IlcXXOqeItVu89UikFvGf8AgKAH9atWfg7w7YNvh0m2MnXzJl81s/VsmtyigBFVUUKqhVHAAGAKWiigAooooAKKKKAOc8UafMhh1ywQte2QO+MdZ4f4k+o6j3qxaXcN9ZxXVu4eGVQysPStuuO8r/hGtf8Asn3dL1Fy9ue0Mx5ZPYN1HvkV3UZe1p8j+KO3muq+W6+fkS9Hc3KKKKgAooooAKKKKACiiigAooooAKKKKACqWq6tZ6NZNdXkm1M7VUDLO3ZVHcmq+ta7Bo8cabHuL2c7be0i5eU/0HqTwKqaVoU73q6xrjpPqWP3Ua/6q1B/hQevq3WlcCva6Tea/dR6lr8fl26Hfa6YTlU9Hk/vN7dBXUUUUWAKKKKYBRRRQAUUUUAFFFFABVHWdPXVdFvLBsfv4WQE9jjg/gcGr1FAGT4bvjq3hqyuJhmRotkwb++vytn8QaTQJzomqNoEzH7LLul09z2HVovw6j2qn4c/0PWde0s8LHci6i/3JRk49gwatPWdN/tOx8tJPKuY2EtvMOscg6H/AB9jWlKUWnTns/wfR/L8rifc6Wisrw/rH9saaJJU8q7hYxXMP9yQdfwPUexrVrjqQlTk4y3RadwoooqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5nVNdubnxNF4Z0d1S7EP2m9umXcLWEnCgA8GRj0B4ABJB6Gp4wurnwf4dl8Q2t7dTGyaN7mCeTetzGXVWGDwjYbIK4GRyCKo6I66J8RPGDXyubvUZbWW0UY3XEQTYAmcA7WyDzxwT1pfFJHj5bbwzYBmsjcrJrE38MKRvkwZHBkZ1AwCcAZPBGQDvVYMoYdCMiua1L/TfH2jWnVLK2mvXHqWxGv8ANq6bpXBy6s8Hi3XpbZBNfP5FhZoegIQu7H/ZBcE/Sk3ZXYm0ldmvrt5JqV4dCsnKrgNfTL/yzQ/wD/ab+VX4YY7eBIYUCRooVVHQAVU02wj0uz2GQvKxMk8z9ZHPVjVW88V6DYHbcarbB+myN/Mb/vlcmoSe7M0m9XubFFc3/wAJY9zxpmhapeZ+67RCGM/8Ccj+VL5vi+9+5baXpqH/AJ6yNPIPywtUUdHUNzd21nH5l1cRQJ/elcKPzNYX/CNajdf8hLxLqEo/uWoW2X6fKCf1qa28G+H7eTzDp0c8veS5JmY/99k0AMl8a6Eshit7p72Yf8s7OFpifxUY/Wmf29rV3/yD/DNwqn/lpfTLBj/gPJroIoY4IxHFGkaDoqKAB+FPoA5z7H4tvP8AX6rYaevpaW5lb83OP0o/4Q63uP8AkJ6nqeoZ6pNclU/75TAro6KAMyx8O6NpuDaaZaxMOjiIFv8Avo81p0UUgM7TB5/jG/l7W1pFD+LMW/oK6Sue8MDzbrWrs9ZL0xD6RqF/xroaIbBT+G4UUUVZYUUUUAFFFFABRRRQAUUUUAFFFFABVHWNLg1nS5rKfIDjKuOqMOQw9wavUVUZOElKO6A5XQ7+e4ils74BdRsm8q4X+9/dcezDn861azvE9lLaTReIbKMtPartuol6zQdT+K9R+NXbeeK6t47iBw8UihkYdCDXdUtJKrHZ/g+q/VeXoQuxJRRRWQwooooAKKKKACiiigArD1jXmtrldM0uEXmrSDKxZ+SFf78h7D26mq+oa1daheyaR4f2tcIdtzesMx2vt/tP7fnWno+i2ui2zRwBnlkO+aeQ7pJm/vMe9ICvougrpskl7dTG81Scfvrpxzj+6o/hUegrZoooAKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAc5d/wCh+PtOn/hv7SW2P+8hDj9C1dHXOeLv3EWlagOPsmoQs7eiMdjf+hV0dJAYeoM2g6smvQgm2cCLUEUdU/hkx6r39q69HWRFdGDIwBVgcgj1rKkRJY2jkUMjAqykZBB7VmeHLl9Jv38O3LkxgGXT5GP3ou8efVf5VrUj7anf7UfxX/A/L0BaM6qiiiuAoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCvd2NnfoqXlrBcKp3Ks0YcA+ozXM6D4Q1DSNZnkm1szaOlzNc2OmpbrGsDSszHcw5YDewA6DOewx11FAGP4rh1W48J6rDoknl6m9s62zBtpD47HsfQ9jivnP4Z2HimyubvVrw6tbaTKCk11FEJXL7uWAbLY4OWUHoK+m9RuvsOmXd2f8AlhC8vP8AsqT/AErlPA1ubbwTpKHq0Pmf99kt/wCzVLetiJPWxUsPDPh7V7dLtry51lD0kubtpBn02ggD6YrobPStP04YsrG2t/8ArlEF/lWbfeGLeW6a+02aTTNQPJntwNsn++nRh+vvVceIL7R2EXiK0CRZwNQtQWhP++OqH65HvQB0tFRwTw3MKTQSpLE4yrowYEexFSUhBRRRQAUUUUAFFFFABSEhQSTgDk0tUdan+zaHfTZwVgcj64OP1obsgbsrj/Byn/hGoJmGHuHknb/gTk/yxW9VLR7f7Jotjb4wY4EU/UKM1dpxVopFQVopBRRRVFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAARkYNcbbxf8I5rh0puNOvC0ti3aN+rRf1H412VZ2uaTHrWlyWjsY5Mh4ZR1ikHKsPoa6MPVUG4z+F7/o/l+V0JojorM0TUZL61eK7QR39q/k3Ufo47j2I5Fadazg4ScWJahRRRUgFFFRXNzBZ20lzcypFDGNzu5wAKAJGYKpZiAAMkntXLTX954qmez0eV7bSlJW41FeGl9Uh/q35e7RHd+MmDzCW08P5ysfKy3vu3dU9uprqYYYreFIYY1jiQBVRRgKPQCluBBp+nWmlWUdnZQrFAg4Ud/cnuferVFFMAooooAKKKKACiiigAooooAKKKKACiiigAooooAw/GNubnwhqiL95YDIPqnzD+VatncC6sbe4HSWNXH4jNF7B9psLiDGfNiZPzBFZfg+f7R4P0l/S2RP8Avkbf6UuoG3WbrWmvqForW7+Ve27ia2l/uuPX2PQ/WtKirhNwkpIB+haumtaYlyE8uZSY54T1ikH3lP8AnpitKuOu5D4d1pdYTIsLorFfqOiHokv4dD7V2AIYAggg8gis8RSUWpw+F7eXdfL8rDTFooormGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBz3jq5+yeBtYlzgm2aMf8C+X+tJocXkeH9Nh/wCedrEv5IBWV8VZtnguSEHmaQLj2ALf0Fb9snl2sKf3UUfpUfaZm/iZLSEBlIIBB4IPelooA52fwwbSZ7vw/dHTZ2O54QN1vKf9pO31XFEPidrOZLXxDanTpmO1J87reU+z/wAP0bFdFUc0EVzC8M8SSxOMMjqCCPcGmMerBlDKQVIyCO9LXNN4evdIYy+HLsRR5ydPuSWgP+6eqH6ce1WLLxPbyXS2OpwSaZqB4ENwRtk/3H6N/P2oA3aKKKQgooooAKx/Ew83SBajrdTxQD/gTjP6ZrYrJ1Mefreh2vrdNMf+2aE/zIpS2JntY6miiitDYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDlvEtq+mXkfiO0QsIl8u+jUf6yH+9j1Xr9M1oxSpPEksTh43UMrA8EHoa12VXUqwBUjBBHBFcdYo3h7WG0OQn7HPul09z2HVovqOo9q76cvbU+V/FH8V/wPy9CXozdoorL1nXLfRoowyPPdzHbb2sXLyt7eg9T0FZAT6pqtno9k13ey7IxwAOWduyqO5PpWJbaXeeIbmPUNeiMVoh32umE5A9Hl9W/wBnoPzqfS9DuJr1dY110m1Af6mFeYrUHsvq3q35V0NG4BRRRTAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArnfBHyeF4oO8E88R/CVq6Kud8H/LZ6nH2j1S5Uf990uoHRUUUUwGTQx3EEkMyB45FKup6EHqKoeGbuSwuZPDt45Z4F32crdZYOw+q9D7YrSrL1vT5ru3iubJgmo2jebbOf73dT7MODWtNqSdOez/B9H/n5Cfc6miqGi6rDrWlxXkQKFsrJG3WNxwyn3Bq/XDODhJxluiwoooqQCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDzz4qMZNPSEf8sreadh/wB8oP8A0I12AGBiuO8dD7UPEDDpbaZHH+LOXP6AV10Tb4Ub1UGs11ZkurH0UUUxhRRRQAVXvrC01K1a2vbeOeFuqSLkfX2PvViigDmf7L1nQfm0a4+3WY/5cLx/mUekcnUfRsj3q/pniOx1Kc2jeZaX6/ftLldkg+g/iHuM1r1R1PR7DWIBFfWyyhTlH6Oh9VYcg/SmMvUVzPla/oHMLtrWnj/lnIQt1GPZukn44Namla7p+sKwtZv30fEkEg2Sxn0ZTyP5UgNKsyIef42gU9LaxeQexdwv8lNadZ+hjzvEmtTnkRiGBT9FLH9WpPdIl7pHR0UUVoahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZev6ONZ0xoFfyrmNhLbTDrHIOh/ofY1qVzOp67d31/Jo3h3ZJdpxc3jDMVoPf+8/ov596uE5QkpR3QPUxf+EullgSwtbMzeICTHLaHhYGHBdz2TuPXOK0tG0EafLJfXkxvNVnH725YdB/cQfwqPSqV1oKeDpI9ZtHmnjfCaq8jFnlBPEx91J/I10qOrorowZWGQQcgiuypGLtUhs/wfVf10sQuwtFFFZjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACud8I/6vWv8AsL3P/oQroq53whzBrDeurXJ/8fpdQOiooopgFFFFAGHJL/wjeujUBxpl+wjux2il6LJ7A9D+Brsaxbm2hvLWW2nQPFKpV1PcGqnhi+mgeXQL6QtdWagwSN1ng6K31HQ1daPtafOvijv5ro/lt6W8wWjsdLRRRXCUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFBIAJPAFAHn+rp9r0fxlcdS3mxj6RxgfzzXR6ZJ5ulWcn9+BG/NRWPpsJvPB10SPmvVuJD77y2P0Iq14Um+0eEtJkzn/RI1P1CgH+VZx2MofDc2KKKKYwooooAKKKKACiiigArL1Xw/p+rsss0bRXUf+ruoG2Sx/Rh/I5FalFAzmftevaBxfQtq9gP+Xm3TE6D/bj6N9V/KtHwPe2uo6ff3ttMkonvpH4PKjgKCOo4HetG4mFvbSzHpGhc/gM1haR4RtbjQNOvYJJbDVDCH+2Wx2s275sOOjjnoaPtIS1kjtKK5b+3dW0D5PENp59oOmpWSEqB6yR9V+oyK6K0vLa/tkubSeOeBxlZI2DA/lVmhPRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUhIUEkgAckmo7m5gs7aS4uZUihjXc7ucBR7muUC3njdsuJbPw5nheUlvh791j/U/yAHz6le+K55LHQ5mt9LRilzqa9X9Uh9T6v0Haui0zTLPR7GOysYFhgToB1J7knuT61PBBDawRwQRJFFGoVEQYCj0AqSgBskaTRPFIoeN1KsrDIIPUGuP0wPoeqP4fuGJhwZdPkY/ei7pn1X+VdlWR4i0dtX04CBxFfW7eday/3XHY+x6H6104aok3Tn8L/B9H/n5EtdR1FUNH1NdVsFmKGKdGMc8J6xyDhlP+elX60nFwk4y3QBRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzvgv5tDlm7TXtxID6/vWH9K6CSRYonkb7qqWP0FYPghGTwbpu4cvGZD/wJi39aXUDoKKKKYBRRRQAVk63YzypDqFhgajZN5kP+2P4oz7MOPyrWoqoTcJcyBq5Y0nU4NY0yC+tydkq8qeqN3U+4PFXa4+OX/hG/EHmk7dL1OQLL6Qzno3sG6H3xXYVliKShK8fhe3+Xy/4I07hRRRXOMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqhrdx9k0K/nzgx27kfXacfrV+sLxed3h6S3H3rmWKAf8CcZ/TNTJ2iyZu0WxukwfZtHsoCMFIEU/XAzWT4I/d+GUtT960nmt29tsjY/TFdFXOeHP9H1rxHY/wBy9FwPpKgP8waSVlYlKysdHRRRQAUUUUAFFFFABRRRQAUUUUAZXiWUw+HL4r1aLyx9WO3+tdHbQi2tIYF6RoqD8Biua18eaunWvUXF9CjD/ZB3H/0Guqoj8TCPxMK5y78JxJcvfaHcvpN8xyxhGYZT/tx9D9Rg10dFWaHMR+KLnSpFt/E9mLIk7VvocvbOfc9UPs3510sckc0ayROrxsMqynII9QaJI0ljaORFdGGGVhkEehFc1J4Wn0uRrnwxeCxYnc1lKC9rIf8Ad6ofdfyoA6eiuctPFkcVyljr1q+k3rHCGVswyn/Yk6H6HBro+tABRRRQAUUUUAFFFZln4i0bUb6Sys9Stp7qM4eGNwWTjPI7cetAGnRRRQAVS1TVbPRrB7y+mEUS8DuWPZVHcn0qvrevWuiQJ5ivPdTHZb2sQzJM3oB6ep6CqGl6Dc3V8mteIWSa/Xm3tlOYrMei+r+rflQBXttKvfE9zHqGvwmCwRt9rpbfo83q3+z0H511gGBgdKKKACiiigAooooA5LXYToOrrrsQxZXJWLUFHRT0SX8Oh9q2AQQCDkHoRWjPBFdW8kE6CSKRSjo3Qg8EVyWkNLpN9L4eu3LGFfMs5W/5awdh9V6H8K74S9tT/vR/Ff8AA/L0J2ZuUUUVmAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGZ4jufsnhnU584KWsmPrtOP1qTRLb7HoOn22MGK2jQ/UKBWZ42PmeHxZD719cw2y/wDAnGf0BroqXUAooopgFFFFABRRRQBBe2cGoWU1pcpvhlUqw/z3qLwxqM7LNo2oPuv7EAbz/wAt4v4ZP6H3+tXKx9btLhWg1bT1zf2RLKg/5bRn70Z+o6e9awtOLpS67eT/AODs/v6Cemp1tFVdO1C31XToL61fdDMu5T3HqD7g8VarglFxbi90WFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK57xIfNvtEtP792Zj9EQn+ZFdDXOaifP8ZWkZ6W1k8v0LsF/kpqJ7EVNjQrnP+PP4heiahp/5yRP/wDEvXR1znin/RbnRdWHAtL1Ukb0jlGxv1K0wOjooopCCiiigAooooAKKKKACiiigDLuB5/ivRoeojE07D6KFH6tXT1zenjz/Gl1IOltZJH9C7lv5KK6SiHVhT6sKKKKs0CiiigCG7tLa+tntruCOeFxho5FDA/ga5z+wdV0H5/Dl35tqOTpl65ZAPSN+qfQ5FdTRQBhaZ4qs726Fhdxy6dqXe0uhtLf7jdHH0rdqnqek2GsWpttQtY7iLqA45U+oPUH3FYP2HxB4d502c6xp6/8ul0+J4x/sSfxfRvzoA6qisjSPEmnaw7QQu8N5H/rLO4Xy5k+qnr9RkVr0AHQZNcP8MB9t0fVPELcnWtTnuoyevlBvLjH02p+tdD4lh1a50K8tdGS2N3cQvEklxM0axFlIDcK2cE5xxTfCelzaJ4V03Sp4oY5LO3SAiGQurbQAWyVXqcnp3oA2awtb8Q/YZ003ToPtusTDMduDwg/vyH+FR+vaq+qa9dXd++i+Hgkt8vFxdMMxWg9/wC8/ov51o6JoNrolu4iLzXMx33F1KcyTN6k/wAh0FAFfRPD32Cd9R1Cf7bq84xLcsOEH9yMfwqP171uUUUAFFFFABRRRQAUUUUAFYviXSJNSsknsyE1KzbzrVz/AHu6n2YcGtqirp1JU5qcd0Jq5zuk6lHqunR3UalCcrJG3WNxwyn3Bq7WLq8X/CO64NVQY02/YJeDtFL0WT2B6H8DW1XZUjHScPhe36r5f8ElBRRRWYwooooAKKKKACiiigAooooAKKKKACiiigAooooA5zW/9L8U+H7Hqsby3kg9Ni7VP/fT10dc5p3+neN9WvOqWcEdkh7En94/81FdHSQBRRRTAKKKKACiiigAooooAxbOX/hHPEHktxpepyZX0guD29g/866+sDUbCDU7CazuBmOVcZHVT2I9weaXwzqk9zBLp2oN/wATKxISU/8APVf4ZB7Efrmrrx9rD2q3W/6P9H8u4LTQ3qKKK4SgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5mA+d4r1iXqIlhgU/8BLH9WFdNXLaEfN/tK66ie+lZT6qDtH/oNRLdGc90jWrN8Qad/avh++sQPnlhYJ/vjlf1ArSooGZ2gaj/AGtoFjfZ+aaIF/Zxww/MGtGub8N/6Bqus6M3CxT/AGqAf9M5ecD2DBhXSUAFFFFAgooooAKKKKACiiigCh4aHm6jrl3/AH7oQj/tmgH8ya6KsDwcN3h9bk/euppZz/wJzj9AK36cPhQ6fwoKKKKosKKz9YvbmysQbKGOe9lkWKCKRyqsxPJJAJwF3McdlNc/ceINeh8X6f4dSLTZJrm1lu5pB5mIEQhRx3yzY7dKAOworK0e81G5uNRg1CK2U2s6xo9uzEODGr5IPQ/NjvWrQAUUUUAZmr6Bputov2yDMsfMU8Z2Sxn1VhyP5Vkb/Efhz/WK+u6cv8aALdxj3HST8MGuqqK5uYLO2kubmVIoY13PI5wFFAJX0Rgt488LRWSXVxrlnbIzbNtxII3DdwVPII+lVJtWu/FkzWXh+cxaYp23Gqpzu9UhPc/7XQdu1eW+NPCWo/GHXzqvhyK2tbKzQW/2i7LILg5J3DCk8Z79sfSur0lfF3wx0G1064soda0e1Q/vrbKyR5JJz7Ak9jx3FZ+0jbm6HUsHVdR0nZS7NpfL18j0nS9Ks9GsEs7GERQpz6lj3JPcn1q5XK6L8RPDmtBUW8+yTt/yyuvkP4H7p/PNdVnIyKuMlJXTMatGpSly1ItPzCiiimZhRRRQAUUUUAFFFFABRRRQBDd2kF9aTWtzGJIZUKOp7g1yuiyzWNzNoF85a4tAGglb/lvB/C31HQ12FYXibSpry2ivrAAanYkyQf8ATQfxRn2YfriurDVFrSns/wAH3/R/8AlrqWKKqaZqEOqafDeQZ2SDlT1U91PuDxVuqlFxbi90AUUUUgCiiigAooooAKKKKACiiigAooooAKZNMlvBJNK22ONS7H0AGTT657xjK7aMmmwtifUpktFI7Kx+c/QKGpMBfBsT/wDCPrezLibUJXvHH++cj/x3bXQUyGJIIY4Y1CxxqFVR2A4FPoQBRRRTAKKKKACiiigAooooAKxtagntZ4dcsELXdmCJIx/y3hP3k+vce4rZoq6c+SVwauXrK8g1CyhvLZw8MyB0YdwanrkdMl/4R3Xf7Pc40zUHL2x7QzHlo/YN1HvkV11YV6Xs5e7s9V6f8DZjTuFFFFYDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7iYW9tLM33Y0Ln8Bmub8NRGLw5YhvvPH5h+rHd/WtHxTObfwvqLjq0JjH1b5f60ltCLe1ihHSNAg/AYqH8RnL4iWiiigDmte/4lniHSNaHETMbG5P8AsOcoT7Bx+tdLVHWdNj1jR7vT5DgTxlQ391uoP4HB/Cq3hrUpNU0OGWcbbuImC5U9VlQ4b+WfxpjNeiiikIKKKKACiiigAqnqs/2bSL2fODHA7D64OKuVj+J8voUkCn5riSOFf+BOB/LNKTsmKTtFs29Ct/smgafBjBS3QH67Rn9a0KQAKoAGAOAKWrSsrGiVlYKKKKYwIBxkdOlcN4Z/4m3xK8WawfmisxBpNu3psHmSj/vtx+VdndW0d3A0MjSqrYyYpWjb/vpSCPzrO0nwzpWhyyyadFPCZpGllU3Urq7t95yrMQWOOuM0Aa+AM+9FFFABRRWRr/iKz8P2qvOGmuZjst7WIZkmb0A/mf8A6wpNpK7KhCU5KMVdlnVtXstE0+S+v51ihTjnqx7ADufavL5TrHxO1/7JJ5llolq+ZYx1X2b1kPp0X65zJPa6x4n8RLbzyqdTUbpCnzQ6VEew/vTH17dugI9M0jSbPQ9NisLGLZDGO/Vj3YnuTWOtV26HppwwMbrWo9vLzX6P9N5rGxttNsobOzhWG3hXaiL0A/z3qxRRW55bbbuzkfEHw80jWme4gUWN63JliQFHP+2h4b9D71x32bXvBThJLu40+3Bws8YNzYt7Mh+aIn159uK9fpGVXQo6hlYYIIyCKylSTd1ozto4+pCPJP3o9n/X53OLtfG19awLLrOleZasMjUNLbz4SPUj7yj866XS9c0vWofN02+huVxkhG+ZfqvUfiKwrzwULWd73w1dnSrljueADdbSn/aTt9R09K5y9XTWvkj8UaU2i6kW/dalaOUjkb1Ei9D7NnFTzTjubexw9fWno/Lf7n+j+R6hRXExDxXpCK9le2+u2WAVjuiI5tv+zIOG+rVds/HemNOtrqsc+j3Z48u9Tajf7r/dI9+K0VRddDllhKm8PeXl/lv+B1NFNSRJY1kjdXRhlWU5BHqDTqs5QooooAKKKKACiiigDj7+L/hG/EH2tfl0vU5AJh2huD0b2DdD71t1c1Cxt9TsJ7K6TfBMhVh/Ue461zWiXNxDJPouoPuvrLADn/ltEfuyD+R969BS9tT5vtR3810fy2fy8yNmbNFFFZDCiiigAooooAKKKKACiiigAooooAK5tP8Aia+OXfrb6RBsB7GeUc/kgx/wKtrU7+LS9Mub6c/u4Iy598dvqelZ/hawlstESS6H+m3btdXJ/wBt+cfgMD8KQG1RRRTAKKKKACiiigAooooAKKKKACiiigCnqmnRarp8tpKSoYZV16ow5DD3Bqbw1q0uoWklre4XUrJvKuVH8X91x7MOfzqasTWEm028i8QWaFpLddl1EvWaDv8AivUfjWsEqsfZP5ev/B/yFtqdhRUVtcQ3dtFc28gkhlUOjjoQelS1wNNOzLCiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGB4sO+xsrXtc30KEewO4/+g1cqhrh83xFotv1CedOw+ihR+rVfrPqzL7TCiiimMK5pf+JJ40ZT8tnrK7l9FuEHP/fS/mRXS1leItKbV9HkghbZdRkTW0n9yVeVP9PoTQM1aKztC1VdZ0iC8C7JCNs0Z6xyDhlP0NaNABRRRQIKKKKACsnVh5+qaJajq14JT9I1Lf4VrVmKPP8AGtmna2s5JvxZgv8AQ0pCltY6aiiitDUKKKKAOR+JXi658FeDLjWLO1S4uRIkUYkzsUsfvNjnA/DnFct8L/i6niqxuYvEUllY3sMihJATHHMpz/eJAIxzz3FdLPDH461V7eVFl8OWMmHVhlb2cdvdF/In1roLPw9oun6b/ZtppVnDZEljAsK7CT1JGOT70AaEciSxrJG6ujDIZTkH8adXNyeCNKjkaXTJLvSZiclrGcop+qHK/pXNX2t+K7XU5tE0TUbXWrlUPmzy24jNqe25gdpb2x9RSlJRWppSpSqytH/hvU6jxD4nXSpU06wg+3azOP3Nqp4Uf33P8Kj9f1HIvb3ltqwtoJl1HxdepmW6Yfu7CLuQP4QM8DqfxAOeniAeEbSW0l0m7TxDdDfJc3LLKJCTzIzqSdo54x2+prt/BdvpFvp7tZanBqN9cHzLu5WQM8j+46gDsKxs5vX+v+CeipU8NTvHW/4/5R8ur38tTQdCtfD+mraW253JLzTPy8znqzH1rUoorZJJWR5k5ynJyk7thRRRTJCiiigAqK4toLu3eC5hjmhcYaORQysPcGpaKATtqjjZvCN9ozNP4VvfJjzubTrol4G/3T1Q/wCeBUUXiGwvZf7J8Q2H9n3jf8u16oaOX3R/usK7eqmo6ZY6taNa6haxXEDfwyLnB9R6H3FZuFvhOyOK5v4qv59f+D89fM5Q+ERYOZvD2p3WkyE5MSN5kDH3jbipE8R+IdI+XWtGF7AOt3pZ3H8Yzz9SOKY/h/XPDvz6Bdf2hYr/AMw68f5lHpHJ2+h4+tWtK8UWOpXBs5BJZaiv37O6XZID7Z+8PpULTTY6ZP2i5naa79V69fvujV0jxLo+uj/iX38Usg6xE7ZB65U4Na1czqnhvSNZO+8so2mHSdPkkB7fMOaoLYeJ9F50vVl1K3H/AC66mMuB7Sjkn68VfO1ujmeHpz+CVvJ/5r9UjtaK5ODx3a28qwa9Y3Wjzk4DTLvhY/7Mi8H8cV09vcQXcCz200c0TcrJGwZT9CKpST2MKlGpT+Nf5ffsS0UUVRkFc94o0yeWOHVtPTOo2OWVR/y2j/ijP1HI966GitKVR0pqa/ryE1cwbC+g1KxhvLZt0Uq7l9R6g+46VZrDni/4RrxDgDbpWqSZX0guD29g/wDOtyuupBJqUfhe39d0SgooorMYUUUUAFFFFABRRRQAUUVBeXcNhZT3dw+yGFC7n2AoAwdd/wCJxrthoS8wIReXvpsU/Ih/3m7ei10tYHhW0m+yT6teJtvdTfz3U9Y0xiNPwX9Sa36SAKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAFHWiigDH0Wb/hH9ZOjSHFhdlpLFj0jfq0X9R+Irra5zV9NTVdPe3LmOQEPDKvWOQcqw+hq34c1d9VsGS5UR6hat5N1H6OO49iORVYiPtI+2W/X9H8+vn6gtNDYoooriKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5qY+f41mI6W1iiH2LuT/ACUVpVlacfP1vXLrsblYB/wBAP5k1q1nHuZR7hRRRTGFFFFAHMN/xTvizf8Ad07WHAb0iugOD/wMD8xXT1S1bTINY0uexuMhJVwGHVG6hh7g4NUfDepz3lpLZ3+F1Oxbyblf7391x7MOfzpjNuiiikIKKKKACs/Rh53inWJz/wAsY4YFP4Fj/MVoVS8KDzIdTuuvn38u0+qrhR/I0uqF9pHQUUUVoahXMeIb241K+Xw1pcpS4mXfe3C/8u0B/wDZ26D8/er/AIh1r+x7JBBF5+oXLeVaW46yOfX/AGR1J9KXw9on9jWLCaXz7+4bzbu4PWSQ/wBB0A9KAL9jZW+m2MNlaRCK3hUIiDsKsEgDJOAKjuLiG0t5Li4lSKGNdzu5wFHqTXDzXV746kaOAy2XhsHDScrLfew7rH+p/lMpW9TejQdTV6RW7/rd+RPf67e+JrqXTPDkxhsozsutVHT3SL1P+12/I0lzLYeDNIgsNMtfNu522W1uvLzyHqzH+Z7flV3UdQ0/wro0YSABFxFbWsI+aRz0VR6k07wz4fuIbiTXNbKyazcrjaOVtY+0af1P/wBcnKzb8/yO3mhCne1odF1k/P8ArTZasm8M+HW0lZr+/lFzrF581zcdlHaNPRR+uPoBY1DwpoWqP5lzpsPnZz50Q8uTPruXBrZorZJJWR51SpKpJylucx/wjmsafzpHiO52DpBqCC4U+27hgPxNH9teI9O41Pw/9qjHWfS5d/8A5DbDfqa6eimQYNn4y0K8l8g3y2tz3gu1MLg+mGxn8K3QQwBBBB5BFV7zT7PUYvKvbSC5j/uzRhh+tYR8E2VsS+j3t/pL9dttOTGT7o2R/KgDpqK5jHjHTeh0/Woh65tpj/NP5Uo8a2lqQms2F/pLdC9xCWiJ9pEyP5UAdNRVay1Gy1KLzbG7guY/70MgYD8qs0AFFFFABWbrGgaZr1uIdRtUl2/ck6Oh9VYcitKik0noyoylB80XZnEyWPiXw1lrZ317TF/5ZSHF1GPZukn8z2rR0jxDputqwtJsTpxJbyjZLGe4Knn+ldLWLrXhbS9dZZriJobxP9XeW7eXMh7YYdfxzUODXwnXHEQnpVVn3X6r/K3zJpYo5o2jlRZI2GGVhkEe4rn5fB1pDO1zot1c6PdMclrR/wB2x/2oz8pHtxUbzeJPDI/0+Fta01f+Xq2TE8Y/20/i+o+prZ0zWNP1m2+0afdRzx99p5U+hB5B+tTo9Huar2lNc0HePlt81+jRmJrHirRuNR06LWLYf8vFh8kwHqYzwT7LWtpPi7RdZk8m3vFjugcNbXA8uUH02nqfpmrdZ+p6Hpesx7NQsoZ8DAZhhl+jDkfgafvLZkP2U/ijZ91/lt91joaK4lNF13RsHQtbaWEdLPUwZU+gcfMo9qnj8cNp5EfiTSbnTD0+0oPOgP8AwJeRn0Ip+0XXQyeEk/4b5vz+7/K50eqabb6vps9jcrmKVcZHVT2I9wea5/Q724YT6ZqB/wCJjYkJKf8Anqv8Mg9iP1rpLK/s9StxcWV1DcRH+OJww+nHesPxRp8yGHXbBC15ZA+ZGvWeHqyfUdR7134WakvYyej28n/k9n8n0OScWnqX6KhtLuG+tIrq3cPDKoZWHpU1DTTsxBRRRQAUUUUAFFFFABXMawTr2vQaFH81nbbbnUD2PeOI/UjJ9hWtrmrJo2lyXRQySkiOCEdZZG4VR9T+mai8PaS+lacftLiS/uXM93L/AHpD1A9h0H0pPsBrUUUUwCiiigAooooAKKKKACiiigAooooAKKKKACiiigArD1XzNG1GPxBbKWRFEd9Go/1kP97HqvX6ZrcpGUMpVgCpGCD3q6c+SV3quvmgaNOKWOeFJonDxyKGRlOQQeQRT65PQJzomqNoEzH7LLul092PQdWi/DqPY11lc9el7Odlqnqn5f1v5jTuFFFFYjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqer3H2TRr24zgxQO4+oU0PQTdlcwPDR83SWuj1uriWc/i5x+gFbFUdFg+zaHYw4wVgTP1wM/rV6s47IzjpFBRRRTGFFFFABXOeIrWewuovEdhGXntl2XUK9Z4OpH+8vUfjXR0UDIbW6gvrSK6tpBJDKodHHcGpq5WD/AIpLWRbNxol/JmA9rWc9U9lbqPQ11VABRRRQIZLIIYXlb7qKWP0FReEYmi8K2G770iGU+5clv61U8RTfZ/Dt+46mFkH1b5R/Ot+yg+y2Ftbj/llEqfkAKF8QL4yeq1/f22mWE17dyiO3hUu7HsP8as1yMf8AxWWtiY/NoOnS/ux2u5x/F7ovbsT61ZoWPD1jc396/iTVYil1Ouy0t2/5dYOw/wB9upP4e1bOq6rZaLp8l9fzrDAnc9SewA7n2qtr/iGz8P2iy3G6SeU7Le2iGZJn9FH9a5+w0a81TUI9a8SbXuU5tbFTmK1Hr/tP7/4DESlbRbnTRoJrnqaR/F+n+fT8CJbO/wDGNyl7rUT2ukI26200nBk9Hm/ov/187mqanZ6Hpj3d0wjgiGAqjlj2VR6n0qe9vbfTrKW8u5VigiXc7t2H+e1YWhabceJNRi8RavC0drGd2m2T/wAI7SuP7x7elRtotzqupLmnpBdF+S8+7/4BP4d0W7vr8eI9dj2XbAiztDyLSM+v+2e5/wD1DrqKK0jFRVjhq1ZVZcz/AOGCiiiqMgooooAKKKKACggEEEZB6g0UUAYV74O0G9l882CW9x1E9qTC4PrlcZ/Gqv8AYniHTudL8Qm5jHSDVIhJn/touG/nXT0UAcx/wkOtafxq/hydkHWfTXE6n32cMB+Bq7p/i3QtSk8q31KFZ84MM2YpAfTa2DW1VLUNI03VY9l/Y29yOg82MMR9D1FAF2iuY/4Q1bLnRNX1DTMfdiWXzoR/wB8/oRR5/jDTf9baWGsRD+KBzbyn3KtlfyIoA6eiuaTxvpkTiLVIbzSZScAXsBRSfZxlT+db9td217CJrW4iniPR4nDA/iKAJq53V/B1hqNyb+0eTTdTHIu7U7Sx/wBsdGHrnn3roqKTSe5dOpOm+aDscM+saz4cOzxHZ/aLMcDU7JCVA9ZE6r9Rx6V0Nne2uoWy3NncRzwt0eNsj/8AXWwRkYPSuVv/AAVAty9/oFy+kXx5byRmGX2ePp+I+vNZuMltqdca1Kp8fuvutvu6fL7jZpCAwIIBB4INc0viW70eZbbxRY/YyTtS+gy9tIfr1Q+x/SujiljniWWGRZI3GVdDkEeoIoTTCdOUNXt36feYN14O0yS4N1Yedpd5/wA97B/KJ+qjgj8OaRb3xfov+uittetR/HHiC4A9x90/Qcmuioo5V00K9s2rTXMvP/Pf8TgtH8T6ZY+IpdNUzWdrdsZI7e7jMT20p6pzxtbqMHrxXc1Q13QrLxBpktleRIwZTskK5aNuzKe1cTomm6rZxTW2m6tLa3tm3lz2Vz+9gb0Zc8qrDnIrv9pUqw9o1drfv6/o/P1MXRoydovl9dV961/D5notFcoviu+035fEGkSwoOt3Z/vYfqR95R9c1v6dq2n6tD5theQ3Cd/LbJX6jqPxqY1Iy0RlUw9Smrtad1qvvRcoooqzAKRmCqWYgADJJ7UtcxrU8mvakfDtk7LAoDalOh+4h6RA/wB5u/oKTATSw3iTW/7bkB/s60LR6eh6SN0ab+g/OuopkMMdvBHBCipFGoVEUYCgdAKfQgCiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGfrOm/2nY+XHJ5VzEwlt5h1jkHQ/0Psa0PD+sf2xpokkTyruFjFcw/885B1/A9R7GisPUGbQdWTXoQTbSARagijqn8MmPVe/tWsY+2h7Lr09e3z/P1YttTsaKajrIiujBkYZVgcgj1p1eeWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYXjBj/AMI1cQqfnuGjhX/gTgfyzW7XPeJz5txo1oOsl6JD9EUt/PFTP4WRU+Fl0AKAAMAcCloopCCiiigAooooAKKKKAK1/Y2+p2M1ldxiSCZdrqf89axdEv7mwvj4f1aQvcIpazuW/wCXqIf+zr3H4+9dHWbrWjw61Y+S7tFPGwkt7hPvQyDow/w70DNKisPQtZmuZZdL1RFh1a2H7xR92Ze0ieoP6GtygDH8RDzbaztO11ewxH6btx/9Brq65e8Hn+J9Et+qq0s7D/dTA/Vqv+ItabSbWOK0jE+p3beVZwf3n7sf9lRyTRHdihu2UNfu59X1AeGdNlZGdQ+oXKf8sIT/AAg/326D0HNO1bXLTw1bW2i6RaC51FkCWtjF0VR/E5/hUep6/mRjJeS6Oj6BoBW/1+ZjLqF9JzHC7dXc+vYL7fgdjRNAt9Gjkk8x7m+nO64u5eXlb+g9BScm9InoU6EYJTq/Jd/Xsvxf4lfR/D72922ratOL3WJRhpiPkhH9yMdh79T+Nbc00dvA800ixxRqWd2OAoHUmnMwVSzEBQMkk8AVykUUnjy/x8yeGrWT5iODfSKen/XMH8/5T8OiNdajc5uyX9WX6Ifp1nJ411CPVL6Nk0G3fdZ2zjH2ph/y1cf3fQd/zz3VNRFjRURQqKMKqjAA9BTq0jGxyVqzqPslsv6/EKKKKoxCiiigAooooAKKKKACiiigAooooAKKKKACiiigBrokqFJFV0YYKsMg1gXPgrQ5pjPb2z6fcn/ltYSGBh/3zx+YroaKAOY/svxTp3/IP1uC/iHSHUocNj/romCT9RR/wlGoWHGs+Hb2BR1nsyLmP6nb8wH4V09FAGVpviXRdXIWx1K3lk/557tr/wDfJwf0rVrN1Lw/pGsA/wBoadb3Df32Qbh9GHI/Osr/AIRO5sedE1+/sgOkM7C5iA9Ar8j8DQB0ksUc8TxTRpJG4wyOoIYehBrkrjwbPpkrXXha9+wuTueymy9tIfp1Q+4/SrP2/wAWab/x96TaanEP+WlhN5b49Sj9T9DUkHjfRmlEF68+mXB/5ZahCYT/AN9H5f1qZRUtzWlWnT+F6dun3GdbeK1t7lbDxBaPpN63CmU5hl90k6fgfpXRg5GR0qae3sNZsDFPHBeWko6HDqfcf41y0nhfVtAJl8M3nnWo5OmXrlkA9I36r9Dx6moalHzOmM6VX+6/w+/p8/vOjrm/EtnLaTRa/ZoWmtl23Ma9ZYO/4r1H41Ppviq0u7r7BexS6bqY62l0Npb/AHG6MPTHX0rdIyMHpW1Ct7OfMte67rqialKUdJKxkQTxXNvHPC4eKRQysO4NZV94W0q9n+0rC1pdg5FzaN5UgPrkcE/UGm28Z8Pa0dLbjT7stJZN2jbq0X9RW3XRWpRT01i9V/Xfv5k06k4axdmc+h8VaP8A6qaDWrYfwTfuZwPQN90/U1cs/GulyzC2vxNpd2f+WV6mwH6N0I/GtSsXxJfWltYrbzWaX1xcNst7RlDeY/49AO57VlaUfhf3mjlTn/Ej81p+G34L1Lmu61LB5GnaUEm1S8H7kdVjTvK3+yP1NXdG0iHRdPW2iZpHJLzTP96WQ/eY+5rjdJ8E3WjxC60/VpLTU5B++2oHhPfYFPOB0zmtZfEetaVxrWjmeIdbrTjvH4ofmHuaaqW+JWM3heb+FK/ls/8AL7mzrKKztL17StZTdp97FMRyUBw4+qnkflWjWqaaujllCUHyyVmFFFFMkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApskaSxtHIoZGBVlIyCD1FOooAyvDdy+k37+HblyYwpl0+Rj9+LumfVf5V1VcxrWmvqForWz+VfW7ia2l/uuOx9j0P1rV0LV01rS0uQnlzKTHPCesUg4ZT/npiniY869svn69/n+d/IFpoaVFFFcZQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXOamfP8AGGnxdre0lm/Fiqj+Rro65mM+f4v1WQ/8sIYYFP1Bc/zFRPoiKnRGnRRRQIKKKKACiiigAooooAKKK88SLR774qa3Pew2nk2FnDbFJY1KyTPmRnIxywXYM9cGmM63XNETVoo5IpTbahbnfbXSD5o29D6qehHeo9D1x76STT9QiFrq1uP30OeHHZ0PdT+nQ1h+GIjceMNR1LSF8jw2bZYFiX5UmuVclpET+EBflJwMnnnrWv4s05LjR59QiEiahYRPPazQ/fDKpO33BxgjvQA+W/trDxLd6heSBLaw04b29Gd+g9ztAH1rltOvdX8WardXliTbyzDypL48iyh/55Resh6s3bPavKfD3jDWvHXi0WerJLc28586S3sVVGbYp2jk9Bk9+9e6WmtXFhaR2tr4R1KGCMbURPLAA/76qLS2OvDKFOPO9ZfgvXv6bfkbek6RZaJYraWUWxByzHlnbuzHuavVzn/CS6h/0K2q/wDkP/4qsDUvE2reInl0jStG1GJY32X8sewvGvdFO7AY8jrxzxQ/dWhvFOrJuT822a87zeNdRk0qxkaPRLdtt9docee3/PJD6ep/ye3t7eG0to7e3jWKGJQqIowFA6CuV0/V59KsIbGy8HarFbwrtRB5X/xfJ96tf8JRqP8A0Ker/nF/8VVRjbV7mFetz+7HSK2/zfn/AMMdLRXNf8JRqP8A0Ker/nF/8VR/wlGo/wDQp6v+cX/xVWc50tFc1/wlGo/9Cnq/5xf/ABVH/CUaj/0Ker/nF/8AFUAdLRXNf8JRqP8A0Ker/nF/8VR/wlGo/wDQp6v+cX/xVAHS0VzX/CUaj/0Ker/nF/8AFUf8JRqP/Qp6v+cX/wAVQB0tFc1/wlGo/wDQp6v+cX/xVH/CUaj/ANCnq/5xf/FUAdLRXNf8JRqP/Qp6v+cX/wAVR/wlGo/9Cnq/5xf/ABVAHS0VzX/CUaj/ANCnq/5xf/FUf8JRqP8A0Ker/nF/8VQB0tFc1/wlGo/9Cnq/5xf/ABVH/CUaj/0Ker/nF/8AFUAdLRXNf8JRqP8A0Ker/nF/8VR/wlGo/wDQp6v+cX/xVAHS0VzX/CUaj/0Ker/nF/8AFUf8JRqP/Qp6v+cX/wAVQB0tFc1/wlGo/wDQp6v+cX/xVH/CUaj/ANCnq/5xf/FUAdLRXNf8JRqP/Qp6v+cX/wAVR/wlGo/9Cnq/5xf/ABVAHS1HPBDcxGKeKOWNuqSKGB/A1z3/AAlGo/8AQp6v+cX/AMVR/wAJRqP/AEKer/nF/wDFUALL4I0cStNp/wBp0qc8mSwmMWf+A/d/SmfY/F2m/wDHtqVlqsQ/5Z3kXkyY9A6cE/UU7/hKNR/6FPV/zi/+Ko/4SjUf+hT1f84v/iqAM/VdVs761+y+LfC95BEOfOCfaI09xJH8y/kKzrGa9sk3+G9Xg8Q6eoybKaYC5iH+y3f6MPYV0P8AwlGo/wDQp6v+cX/xVZGpfZdWbfeeAb95evmqI0k/76Vwf1qZQT1N6WInTXLuuz2/4HyJJL/SvGFhNpyyva6hGdwgnXy54JF5DbT6e3Y07RdQkvbZ4rpRHfWzeVcx+jDuPY9RXKax4d1C+CNa6b4hR4+Y/tXlTFMdAr7w6j2ya8+8WeLfGvg3VLb7TH5F3NDjzp0VmmjB43DOCR6nnnrW9KraDp1Nt0/P/g/nYucqUlzwdn2f6P8Azt8z2zWdZh0i3QlGnupjst7aP78reg9vU9qraLo80NxJqmqOs2qTjDEfdgT/AJ5p7ep71y3gTxDpupWkOs6zeLHrl2h3C4BRY0ydqx54CkAHrk5r0JHWRA6MGUjIIOQaYOElZyVrjqKKKBGVqXhzStVfzbi1VZxyJ4jskB9dw6/jVRbbxNo/NhqKapbj/lhf8SAe0g6n68V0FFS4K91ozVVpW5Zars9f+G+RkW/jWzjlW31m2uNJuCcD7QuY2P8AsyDgj3OK6OKaK4iWWGRJI2GVdGBBHsRVCWGK4iaKaNJI2GGR1BB+oNYL+E4LaVp9FvLjSZyckQNuiY/7UZ4P04p8015/1/XYl06M9vdf3r/NfidhRXJJrXiPScLqemJqVuP+XjT+JMe8Z6n6cVraV4n0jWDstLxPP6GCT5JAfTaeT+FVGpFu3UxnhqkFzWuu61/4b5mvRRRWhzhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVhXch8O60usJkWF0Viv1HRD0SX8Oh9q3aZNDHcQSQzIHikUq6noQeorSnNRfvap6P0/rbzBmuCCAQQQehFLXMeGbuSwuZPDt45Z7dd9nK3WWDsPqvQ+2K6euWtSdKfL93mhp3CiiishhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVy2iHzptWuuvm38gU+qrhR/I100siwwvK33UUsfoK5nwyjJ4ds2b70imU+5Zi39aiW6M5fEjWooooAKKKKACiiigAooooAiuJ1toGmdZGVeojjZ2P0VQSa4rwfdy6dY6pd6hpuppf6hqM920IspCyqTtjXdjb9xV7967qimM5XwhpGoWl9rusajF9lk1a6WZLIOG8hVXaCxHG9gMnGR05NSa1cTa1qP/CO2DsiYDahcJ/yzjP8AAD/eb+X41e8QavJp0EVtZIJdTu28u2i9+7H/AGR1NWND0ePRtPEAcyzyMZLidvvSyHqxrKT5nyr5nZh4ci9rL5f5/L8/RlObwZoDWRt7bTbeyfIZZ7WMRyq46NuAySPfNV7TW7zRrqPTfEbLhztttSUYjm9A/wDcf9DXTVzXii+N0B4csLeK71G9QgpIN0cEfeR/p29/yNtpI0hBzlZf16jtZ1K8v9QHh7Q3xeuubq6HItIz3/3z2FdJo2jWeg6ZFYWUe2NOWY8tIx6sx7k1yml6Nf8Aw9hb7JE2q6XIQ9ztQC5jbGCw/vr7dR7857DTdTstXs0u7C4SeBujKeh9COoPsacY9XuZ16ya9nT+Ffi+/wDkuhboooqzmCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKiubmCztpLi5mSGGMZeSRsBR7muXN9qniw+XpRl07Rjw+oMu2acekSn7o/2j+FAFvVfEMzXraPoMSXeqD/WOx/c2o9ZCO/oo5NFl4M0pYJDq1vBq95Owee4vYVkLMOmAQQoHYDpWrpek2WjWS2lhAsUQOTjkse5Y9Sfc1doArXOnWN5brb3NnbzQqMLHJGGUfQHpXOT/D/SlZpNLnvNKlPe1nO0n3U5BHtxVq28Rz61czpoFrFcWkEjRSX88hSJnHBWMAEyYPBPC+hODUlnr11L4nfQbnT/AC5orT7VJcJJuiKl9qBeAcnD5Bxjb3zmmm0a061SnpF2/rsY0mj+LtNyYbmx1eIfwyL9nlPsCMr+dVH8SmwO3WtKv9NIODI8Rkiz7Ouc16FR1GDTU2arEp/HFP00f+X4HI2WpWOopus7uGcYyfLcEj6jtVqptQ8F+HtSbzJdNijm7S2+YnB9crjJ+uaypPCGsWOW0jxDK6DkQaiglB/4GMMBVKSLXsZbSt6r9Vf8kX6KxpLvxFpvGpeH3uIxwZ9NfzQf+AHDCltPFOjXj+UL1IZhwYrgGJgfTDY5+lUN0J2uldeWv5GxWfqWh6Zq64vrOKVh0kxhx9GHNaAIIyORRSaT0ZEZSi7xdmc8ul69pHOkaubmEdLXUhvH4SD5h7DpU8fjRLNhFr+nXOmOTjziPNhJ9nX/AArapGVXUqyhlIwQRkEUuVr4WW6kJ/xI381o/wDL70y1a3dtewCe1uIp4j0eJww/MVNXI3HhKw883OnPPpd0f+Wlm+wH6r0I9sULqHinSOLq2g1m2H/LW3/dTAepTofoKftGviRm8NGX8KXyej/y/Feh11FYem+LtH1Kb7OLg212Dg210vlSA+mD1P0JrcrSMlJXTOapTnTdpqzCiiiqICiiigAooooAKKKKACiiigAooooAy9b0+a7giubJgmo2bebbOfXup9mHBra0bVYda0uK8iBQt8skbdY3HDKfcGoaw5Jf+Eb14agONMv2Ed2O0UvRZPYHofwNa8vtoez6rb9V+q8/UWzudjRRRXnlhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBleJrj7L4Z1KUdfIZR9WG0fzqKzg+zWNvB/zyjVPyGKi8XHfpVva9rq8hiP03bj+i1crN/EZP42FFFFMYUUUUAFFFFABRRRQAVU1LUbfSdPmvbp9sUQycdSewHuatEhVLMQABkk9q5ezU+K9YXUZAf7HsnItEI4nlHBkPsOg/8A1ipnK2i3OihS53eXwrf/AC9X/wAEteHtNuHnl1zVExqF0uEiP/LvF2Qe/c+/410NFZWva5FotohEbT3k7eXa2qfemf0Ht6nt+VJJRR1+9VnZIi1/XG00Q2VjD9q1a7O22tx+rt6KOpP/ANci/wCG/Dy6HbSSzy/adTujvu7purt6D0UdAKh8M+HpNOMup6m63Gs3YzNKOka9o09FH610VVGP2mZ16qS9lT26vv8A8D89+1iue1Hwx/pj6nolz/ZupNy5VcxXHtInf/eHPNdDRWhyHN2XiryrpNO1+2/sy/Y4RmbME/uj9PwPPNdJVe9sbXUbV7W8t454HGGSRcg1zo0bWvD3zaDc/bbEf8w29k5UekcvUfRsigDqqKw9M8VafqFz9imElhqI+9Z3a7H/AOA9mH0NblABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZOr+JNM0ZliuJjJdPxHaQL5kzn2Uc/icCgDWrB1TxRbWd0dPsYZNS1Q9LS3I+T3duiD6/lVM23iHxH/AMfkjaJpx/5YQOGuZB/tP0Qew5rd0vSLDRbUW2n2qQR9TtHLH1Ynkn3NAGLb+GrnVLmO+8TzpdSId0VhF/x7Qn3B++3ufyrpwABgcCiigArlviRfXem/DnXruxLLcJaMFZeqg8Fh9ASfwrqaZNDFcwSQTxrJFIpR0cZDKRggjuMUAZvhrTbfR/C+l6fahfJt7WNFK9G+UZP4nJ/GrVqbW4u7m6hjHmgi2eXH3whJwD3AZ3H1yKzrPw0un2yWdtq2ppYINsdr5qEInZQ+3zAB2+fI7GtiCCK2gSGCNY4kG1UUYAFAElFFFABRRRQAVTv9K0/VI9l/ZW9yuMDzYwxH0J6fhVyigak4u6ORl8AWUBL6NqF9pbdQkUpeLPujZz+dVZNP8Yab0Sx1iIHjY32eU/UH5a7iiqUmdCxVT7fvev8Anv8AieenxTb2jCPVrK90tzxm5hOwn2YZB+ta9re2t7H5lrcxTp/eicMP0rqXRZEKOoZWGCpGQRXPX3gbw/eyectkLS47TWbGFl9/l4z9RVKZaq0Zbpx/H/L82JRWfJ4V8QWHOl68t1GDxDqUW785F5P5VUk1PWtN/wCQt4duggHM9iROn1IHKj6000ylS5vgkn+D+52/Av6hpVhqsXlX1pFOvbevI+h6j8KyV0LU9J50HWJEjHSzvcyxfQH7yj6VesfEej6i2y3v4jJnHludj59NrYNalJwT1Hz1aXuS27NafczDTxdc6dhPEGkzWijrd2/76H6nHK/Q5robDUrHVIPOsbqG4j7mNgcfX0P1qKsS88KaXcz/AGmGOSxux0uLN/KcflwfxFCc4+ZDhQnuuV+Wq+56/j8jqqK5BZfFej9Gt9bth2bEM4H1+6fx5NXrLxnpNzMLa6aXTrv/AJ4XqeUfwJ4P51Sqx2ehnLCVErw95eX+W6+46GigEEAg5B6GitTlCiiigAooooAKKKKACorq2hvLWW2nQPFKpV1PcGpaKE2ndAZ/he+mgeXQL6QtdWagwyN1ng6K31HQ10tcprljPKkOoWGBqNkxkh/6aD+KM+zDj64re0nU4NY0yC+tydkq5Knqh7qfcHiniYKS9tHrv5P/AIO/39gj2LtFFFcZQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBzuvnzdd0O26gSSzsP8AdTA/Vqv1m3J87xse621gB9Gd/wDBa0qzW7Mlu2FFFFMYUUUUAFFFFABRRWL4g1eWyjhsrBRJql4SlunZfV29h1pSkoq7Lp05VJKMSlrE0uv6mfD1lIy26ANqM6fwoekYP95u/t+IrpYIIraCOCFFjijUKiL0AHQVS0TSItF05baNjJIxLzTN96WQ9WNTanqVrpGny3t5II4YhknuT2AHcmoire9Lc9BpaU6e35vuRazrFtoentd3JJ5CxxIMtK56Ko7k1X8NaDci7bX9cAbVp1xHF1W0j/uL7+p/+vmDw/o91quoJ4k1yIpLj/QLJulsh/ib/bP6foOwq4q75mTWqKmnThv1f6L9e/puUUUVocQUUUUAFFFFAFLU9I0/Wbb7PqNpFcR9g45X3B6g+4rD/sbXtEGdF1IX1qv/AC5aiSSB6JKOR7A5FdTRQBzUPjO0hlW31u1uNHuScD7UP3TH/ZlHyn8cV0cckc0ayROrowyrKcgj2NJNDFcRNFPEksbDDI6hgfqDXOyeC7OCVp9Fu7rR5ickWj/umPvG2VP4YoA6WiuY8/xdpfEtpZazCP44H+zzY9SrZU/gRTo/HGlRuItSS70qYnAW+gZAfowyv60AdLRUNreWt7F5tpcwzx/34nDD8xU1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFRzTxW8RknlSKMdWdgoH4mgCSiudn8b6IkphtJ5dRuB/yysImnP5r8v61F/aPirU+LLSLfTIj0m1CXe+PaNOh+poA6YkAEk4A6k1z934y0uKdrWw87VLwf8sLFPMx/vN91fxNQ/wDCHi+YPr+q3mqHqYS3kwf9+06/iTXQWlla2EAgs7aK3hHRIkCj8hQBzv2PxPrn/H7dJolmesFmwkuGHvIeF/4CK1tJ8P6ZoiMLG1VJH/1kzHdJIf8AaY8mtOigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAztS0HSdXUjUNPt7gkY3Og3D6N1H51gyeA0tvm0XWL/AE7niJm8+Ef8Ab/GuvopptG0MRUgrJ6dt19z0OFktvF+m/62xstViH8drL5UmPUq3BPsKgXxXp8Uoh1GO60yY9EvYTHn6Hpj8a9Bpk0MVxE0U8SSxtwyOoYH6g1SmaLEQfxw+7T/ADX4I5qC4huYhLbzRyxno8bBgfxFMu7K1v4TDd28U8Z/hkUMP1qW78BaDPKZ7aCXTrg/8tbGUxEfgPl/SqEnhzxPp/NhrFtqEY6RX0WxgPZ06n6inzJ7mkfZt3hOz89PxV/0M4eGbjTSX8P6rcWA6/ZpD50B/wCAtyPqDUq+J9V0v5dd0Z2iHW70/MifUofmUe9Ok1vUNOz/AGzoF7bKOs0AFxEB6kryPyq3Ya7pep4FnfQysf4N2H/75PP6UlG3wuxrNTkr1Y8y7/8A2y/W5oaZremaxHv0+9huABkqrfMPqp5H4ir9czqPhnStSk86S28q5BytxAfLkB9cjqfrmqyxeKNH/wCPS9i1e2H/ACxvPkmA9BIOCfdqr2kl8S+7+v8AM53h6c/4creT/wA9vvsdfRXNW3jXT/OW21WGfSbk8BbtcIx/2XHBHucV0cciTRrJG6ujDKspyCPY1pGcZbM56lGpT+NWHUUUVRkFFFFABWJHL/wjfiDzSdul6nIBL6Q3B6N7Buh9626r3tnBqFlNaXKboZVKsP6/WtKc0m1L4Xo/67rcGbtFc94Y1Kdlm0bUH3X9iAN5/wCW8X8Mg/kfeuhrkq0nSm4v+vMadwooorMYUUUUAFFFFABRRRQAUUUUAFFFFAHL2B8/xDrlz286OAf8AQZ/VjWrWP4cPm6fPd/8/V1NN+bkD9AK2KzjsYw2uFFFFMoKKKKACiikZlRGd2CqoySTgAUDKmq6nb6Rp0t7dNiOMcAdWPZR7ms7w9plwJJdZ1Qf8TK7H3O1vH/DGP6+9U9PRvFOrrq8wP8AZVo5FjGw/wBa44MpHoOg/p36mSRIYnlldUjRSzMxwFA6kms1775unT/M9CMPYx5PtPf/AC/z+7oR3d3BY2kt1dSrFBEu53Y8AVgaNp9x4q1CHXtUhaLToTu02ykHLekzj1PYdv1MVjbSeOL9L65Rl8O2z5t4WGPtjg/fYf3B2Hf9K7vGBgVUVza9Cqk/YLkXxPfy8vXv227hRRRWpwBRRRQAUUUUAFFFFABRRRQAUUUUAFNdElQpIiujDBVhkGnUUAYF14K8PXMvnDTktpu0toxhYH1+QioP+EY1S1/5BvirUYx/du1S5H/jwB/WumooA5rb40tej6LfIO7CSBz+W4Uf254ih/4+fCcjAdWtr2N/0O010tFAHNf8JgU/1/hzX4vUiz3j81Y0f8JzpK/66HUoT3ElhKMfktdLRQBzQ8e+HM4N5OD72U3/AMRQfHvhwf8AL5OT6CzmP/sldLRQBzX/AAnWjN/ql1Cb/rnYTH/2Wj/hMlf/AFHh/X5vQixKj82IrpaKAOa/4SDXpubXwlc49bm7ii/TJNG/xpc/dh0WxU/33kmcfkFFdLRQBzP/AAjut3R/4mHiu72H+CygS3x/wL5j+tSQ+B9BSUTXNq9/OP8AlpfTNOT+DHH6V0VFAEcFvDaxCK3hjijHRI1CgfgKkoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKydT8M6JrGTf6ZbyueTJt2v/wB9DB/WtaigqM5Qd4uzOPk8D3Fpzouv3tqB0hucXEY9gDyPzqpIPFem5+16Rb6hEOsthLhgP9x+SfpXd0VXMzdYqT+NKXr/AJqzPPD4j0S7JstSU2sjfet9Rg8v893y/rUSeGYYP9K8PalPprP82IX8yB/coeD+FehXNpbXsJhureKeI9UlQMv5GucuPAGjGRpdPa60uY8l7KYoD9VORj2xQ+WW6N6eIprRNx/FfPb8mYy674g0rjVtKF9AP+XnTjlvxjPP5cVsaV4j0jWflsr2N5e8LfLIPX5TzVOTQ/FmnZNtf2WqxD+C4j8mT6ArlfxNYerNYz8+JvDV3ZSL/wAvSp5ir6fvY+aacls7+pXsKVXbf+7/APIuz+6x3tFcHp82pRLu8PeIrfVYAM/ZL5tzgf74+YewIxWpF41gtnWHXbC50qUnAeQeZCx9pF4q1VX2tDnngqifue9+f3PU6iiore5gu4Vmtpo5om6PGwZT+IqWtDkatozH1u0uEaDV9PXN/ZEsEH/LaP8AijP1HT3ro9O1C31TToL61fdDMu5T3HqD7g8VUrFs5f8AhG/EHkt8ul6nJlPSC4Pb2D/zrVx9tT5ftR2811X6r5k7M6+iiiuAsKKKKACiiigAooooAKKKKACqupXH2TS7u5zjyoXf8lJq1WH4vkKeF7xFPzzBYV9yzBf60pOybJk7RbK+gwfZtAsIsYIgUn6kZP6mtGmogjRUUYVRgU6pSsrEpWVgooooAKKKKACuY1WWTxFqjaDaOVs4cNqMyHt2iB9T39B+Iq54g1ae1EOnacA+qXmVhB6Rr3kb2H86vaNpMGi6clpCS5yWklb70jnqx9zWcvefKtuv+R3YeHIvay36f5/5efoXIo47eFIo1WOKNQqqBgKB0FcsEk8d6g0EbMnhu2kxNIpwb2QfwKf7g7nv29Q68kuPGGpS6Lp0rRaTA23UbxP+Wh/54ofX1P8A+o9raWkFjaRWtrEsUEShURRwoFUlzehtKfsFf7b/AA8/Xt237EkcaQxJFEipGgCqqjAUDoAPSnUUVqeeFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJqPhDQNVYvdaZB5uc+bEPLfPruXBP41jz+Cr+3jZdL1+cxEYNtqKC4RvbPBA/Ouzop3ZvHE1Yq17rz1/M8kuvDOtaTO1zFpM9rLn5rnQp9yN6ZgbqPbii08e39hL5GopFehfvEKba4XnvG/DH2U163Va906y1GLyr20guU7LNGGA+maS020On67CppXhf8/wDP5XSOY0vxZo2ruIoLsRXPQ2848uQH0wev4ZrR1Gwg1Owms7gZjlXGR1U9iPcHmsfVPhZ4fv1P2YT2TdhE+5AfXa2f0IrJTwp438Of8gfV4NTtVxi2usgkegyeB9GFaQrzg0+3YTw+Gq/wqln2l/mtPvOv8MapPdQTadqDf8TKxISU/wDPVf4ZB7Efrmt6vG/EHji78Nvb61q+g3un39q3lNtXdDdRn7yb+me464xXZ/D74i6b8QbK7lsrea2ntGVZoJSDgNnaQR1B2n8quu6c3z0+u67Pr8uxx1KM6L5Z/mn+KOxqpqGo22mW6zXLkb3EcaKpZ5HPRVA5JP8AQnoDVuuT8Z6RrOozaVqHh24sxqmk3DTrb3hPlSq6MhB28g4JwfrWBBqDxFCmoWmn3VleWl3eMwgjlVW37VLMdyMyjAHcg8j1orG8La9d67rN1Y+INE/s3W9JRW2rMJY3jlBAdCP9wjHb164KAOxooooAKKKKACuf8UnzG0i1HWW+RiPVUBY/yFdBXOasfP8AFulwj/l3t5pz+O1B/WonsRU+E0KKKKBBRRRQAVR1bVLfR9OkvLgkqvCoPvSMeij3NXJJEijaSRgiICzMxwAB1JrmdLjfxNqy63cKRp1sxGnxMPvnvMR/L/OYnJrRbnRQpKb5pfCt/wDL5lzw9pVxCZtV1PB1S8wXHaFP4Y19h39/XrVfVL6713U38O6LKYyo/wCJhfL0t0P8C/7Z/T88Sa3qt3cX6+H9EIOpSrumm6raR/32/wBr0H/1s9Fomi2mgaYllaKdoO6SRuWlc9WY9yaUY391bHdOp7Ne0l8T2Xbz9Oy/TebTNMtNH06GwsYhFBEuFUd/Un1J9at0UVulY86UnJ3e4UUUUCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDK8R+HdO8VaHcaPqkTSWs4GdjbWUg5DKexBrM8FeAdF8B2NxbaQJ2a4YNNPcOGkfGdoOABgZPQdzXUUUAFYY0vVrXWL/ULW+glS7ZP9GnjO2NVQKNrA5yTuJyD1GMYOdyigDL0rR/sN3eahczC41C9K+dKqbVCoCERRk4UZJ5JJLE98ArUooAKKKKACiiigArmQfP8Z6jJ/z7W0MA/wCBZc/0rpq5bRz517rN0esl86A+qoAo/kaiW6M57pGtRRRQAUUVheINUuITDpWmYbVLzIjJ6Qp/FI3sO3qfWlKSirs0p05VJKMSpqbv4m1ZtEt2I062IbUJlP3z2hB/n/nNvWtWksTb6Lo0KSarcLtgiA+SBBx5jeij9aguJ4PCOk22l6bCbvUrglbeH+KaQ/ekf27k/hWz4a8O/wBjQy3N3L9q1a7O+6uT3PZV9FHQD/8AUM4pt+fX/I9NuFKCfRbLu+rfl/w3dk3h3w/B4fsGiV2nupm8y6un+/NIepPt6Dt+ZrYoordJJWR505ynJyk9WFFFFMkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGu6xxs7HCqCSfauX8MK3/CP20jj55i8zf8CYn+ta/iK4+y+G9Rmzgi3cA+5GB+pqtp0H2XTbW3xjyoUT8gBUP4jOXxFmiimSyxwRPLK6pGilmZjgADqTQMp6xqsGjac93MCxBCxxr96Rz0Ue5rAil/4Rqxk1fVFNzruosFS3j5ZmP3YU9hxk/wA+KrnUYJ3bxXqwZNPtyU0y2I+aRj/Ht7s3b0HPbNb3hzQ7qa9PiHXEH9oyLi3tzytnGf4R/tHufwrFNzldf15/5Hqwpxw9O8/n5/3fl9p/8An8M+H57OSXV9XZZtZuh+8I+7AnaNPYdz3PrXSUUV0RSSsjhqVJVJc0gooopmYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGB4wO/REtf+fq5hh/NwT+gNXKoeIj5ur6Ha9jO85/4Ahx+rCr9Z/aZl9phXG6/qMGq3NxazTeVomnkPqM4P+tcdIV9ecZx9Prf8Ua29nGNPs5VjvZ0LNMx+W2iH3pG/p6n8qoeFPDq6uLW9uIXi0S0O6wtZB81w/eeX1z2H9OuU25PkR6eEoqnH6xU0XT+u/b7+mul4e0efWL6HxDq8HkxxDGm2BGBbp2dh/fIx9Pyx2dFFbxjyo5q1V1ZXfyXYKKKKoyCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOavT53jaNeq21gW+jO+P5LRrmswaFpcl5P8xHyxxg8yOeij/PSoYp4l1/X76Z1SGExxF2PChEy36tXH2NldfErxE17OJIfD9oxRB0MvqB7nuewwK55Ta0juzbBYdVXKpU0hHd/kl5sl8KaDc+LLuTVdUydPeXfIT/y+Op4Uf8ATJOmO5H5eqgBVCqAABgAdqbDDHbwpDDGscUahURRgKB0AFPrWnBQVisTiHWlfZLZdv6/rQKKKKs5wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiuP/tvXbrx/feH7OfTltLSzjuZJ3tHZkZ2IWM4lAJ2qWzx9KAOwqjrOs6f4f0m41TVLlbezt13SSMCcc4AAHJJJAwKyND8SXF54n1fw7fRRG705IpftFuCI5EkGRlSSUYY6ZPHOan8Z+Frbxn4Xu9EuZngWfayzIMlGUgg47jjp6elAHmeh6j/ws67vNP0qeSLSPtbXWozEbXYM3yRgH1C/p7c+x2VlbadZQ2dnCsNvCu1EXoB/nvXFfDT4Z2/w7tr7GoNfXV4U8yTyvLVVXOAFyf7xyc+ld5UQpqLbNZVm6caS0ivz6t+YUUUVZkFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFec+E4JNUbxb4mXVLmxF9qEscc0KRsPIt18tG+dG7hzXoNzbR3du8Eu/Y/XZIyH81INU9K0HTNEsDY6daiC0Of3G5mQZyTgEkDJJzjrmgDn/hpPBf+C7HVzbRw32poZ7p9xZ5nBK7yWJJ6DAzhQQBxXY1m6RoGmaFAkGnW5hiRSkaGV3CLnO1dxO0Z7DA6egrSoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//2Q==)\n \n\nStep 1. Let us prove \\(\\angle R B I = \\angle S C I\\) . We will use directed angles: \n\n\\[(B R,B I) = (B R,A B) + (A B,B I) = (A Q,A B) + (B I,B C)\\] \\[\\qquad = (C Q,B C) + (B I,B C) = (C I,C B) + (B I,B C),\\] \n\nwhich is symmetric in \\(B,C\\) . Therefore, analogously we would obtain the same expression for \\((C S,C I)\\) \n\nStep 2. Let us prove \\(B R / B I = C S / C I\\) . Clearly \\(B R = A Q\\) and \\(C S = A P\\) . Angle chasing gives \\(\\angle I C B = \\angle Q C B = \\angle A P Q\\) , and similarly \\(\\angle P Q A = \\angle C B I\\) , and so \\(\\triangle I B C\\sim \\triangle A Q P\\) , from which the desired \\(A Q / B I = A P / C I\\) follows. This finishes the solution. \n\nRemark. In the alternative solutions below, the notation \\((A B C)\\) refers to the circle passing through points \\(A\\) , \\(B\\) , and \\(C\\) . \\(D\\) will refer to the midpoint of arc \\(B C\\) not containing point \\(A\\) , unless stated otherwise. \n\nLet \\(I_{A}\\) be the \\(A\\) - excenter of \\(\\triangle A B C\\) . It is well- known that points \\(B\\) , \\(C\\) , \\(I\\) , and \\(I_{A}\\) lie on a circle with diameter \\(I I_{A}\\) . The center of this circle is point \\(D\\) . It is clear that \\(A\\) , \\(I\\) and \\(D\\) are collinear. \n\nIn some of the solutions, some of the facts below may be used:\n\n\n\n\\(\\cdot B,T,I,C\\) are concyclic. Indeed, \\(\\angle B T C = \\angle Q A P = A + \\frac{B + C}{2} = 90^{\\circ} + \\frac{A}{2} = \\angle B I C\\) , so \\(B,T,I,C\\) are concyclic. \n\n\\(\\angle Q A P = \\angle B T C = \\angle R T S\\) . Indeed, since \\(Q A\\parallel B T\\) and \\(P A\\parallel C T\\) , then \\(\\angle Q A P = \\angle B T C =\\) \\(\\angle R T S\\) \n\n\\(\\cdot R Q\\) and \\(P S\\) are tangents to \\((A B C)\\) . Indeed, \\(\\angle R Q B = \\angle Q B A = \\angle Q A B\\) and similarly for \\(P S\\) \n\n\\(\\cdot \\triangle A Q P\\sim I B C\\) (see Solution 1 for the proof). \n\n\\(\\cdot Q P\\) is the perpendicular bisector of \\(A I\\) . Indeed, \\(Q A = Q I\\) and \\(P A = P I\\) so \\(P Q\\perp A I\\) and \\(P Q\\) bisects \\(A I\\) .", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 1. "}} +{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "We will prove that \\(\\triangle B I R\\sim \\triangle C I S\\) , since the statement then follows from \\(\\angle T R I = \\angle B R I = \\angle C S I =\\) \\(\\angle T S I\\) . \n\n![md5:fde912fbdc79cac01c462235f3a9f56d](fde912fbdc79cac01c462235f3a9f56d.jpeg)\n \n\nStep 1. Let us prove \\(\\angle R B I = \\angle S C I\\) . We will use directed angles: \n\n\\[(B R,B I) = (B R,A B) + (A B,B I) = (A Q,A B) + (B I,B C)\\] \\[\\qquad = (C Q,B C) + (B I,B C) = (C I,C B) + (B I,B C),\\] \n\nwhich is symmetric in \\(B,C\\) . Therefore, analogously we would obtain the same expression for \\((C S,C I)\\) \n\nStep 2. Let us prove \\(B R / B I = C S / C I\\) . Clearly \\(B R = A Q\\) and \\(C S = A P\\) . Angle chasing gives \\(\\angle I C B = \\angle Q C B = \\angle A P Q\\) , and similarly \\(\\angle P Q A = \\angle C B I\\) , and so \\(\\triangle I B C\\sim \\triangle A Q P\\) , from which the desired \\(A Q / B I = A P / C I\\) follows. This finishes the solution. \n\nRemark. In the alternative solutions below, the notation \\((A B C)\\) refers to the circle passing through points \\(A\\) , \\(B\\) , and \\(C\\) . \\(D\\) will refer to the midpoint of arc \\(B C\\) not containing point \\(A\\) , unless stated otherwise. \n\nLet \\(I_{A}\\) be the \\(A\\) - excenter of \\(\\triangle A B C\\) . It is well- known that points \\(B\\) , \\(C\\) , \\(I\\) , and \\(I_{A}\\) lie on a circle with diameter \\(I I_{A}\\) . The center of this circle is point \\(D\\) . It is clear that \\(A\\) , \\(I\\) and \\(D\\) are collinear. \n\nIn some of the solutions, some of the facts below may be used:\n\n\n\n\\(\\cdot B,T,I,C\\) are concyclic. Indeed, \\(\\angle B T C = \\angle Q A P = A + \\frac{B + C}{2} = 90^{\\circ} + \\frac{A}{2} = \\angle B I C\\) , so \\(B,T,I,C\\) are concyclic. \n\n\\(\\angle Q A P = \\angle B T C = \\angle R T S\\) . Indeed, since \\(Q A\\parallel B T\\) and \\(P A\\parallel C T\\) , then \\(\\angle Q A P = \\angle B T C =\\) \\(\\angle R T S\\) \n\n\\(\\cdot R Q\\) and \\(P S\\) are tangents to \\((A B C)\\) . Indeed, \\(\\angle R Q B = \\angle Q B A = \\angle Q A B\\) and similarly for \\(P S\\) \n\n\\(\\cdot \\triangle A Q P\\sim I B C\\) (see Solution 1 for the proof). \n\n\\(\\cdot Q P\\) is the perpendicular bisector of \\(A I\\) . Indeed, \\(Q A = Q I\\) and \\(P A = P I\\) so \\(P Q\\perp A I\\) and \\(P Q\\) bisects \\(A I\\) .", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 1. "}} {"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "We use complex numbers, with \\((A B C)\\) as the unit circle. Set \\(D = d\\) , \\(P = p\\) , \\(Q = q\\) , so that \\(A = a = - \\frac{p q}{d}\\) , \\(B = b = - \\frac{d q}{p}\\) , and \\(C = c = - \\frac{d q}{q}\\) . Write \\(z\\sim w\\) if \\(z / w\\) is a nonzero real number. We observe that \n\n\\[\\frac{R - T}{S - T}\\sim \\frac{R - B}{S - C} = \\frac{Q - A}{P - A} = \\frac{q + \\frac{p q}{d}}{p + \\frac{p q}{d}} = \\frac{(d + p)q}{(d + q)p}.\\] \n\nSo, it suffices to show that \\(\\frac{I - R}{I - S}\\sim \\frac{(d + p)q}{(d + q)p}\\) . Indeed, \n\n\\[I - R = (d + p + q) - (Q + B - A) = d + p + \\frac{d q}{p} - \\frac{p q}{d} = (d + p)\\left(1 + \\frac{(d - p)q}{d p}\\right) = \\frac{(d + p)(d p + d q - p q)}{d p},\\] \n\nso \n\n\\[\\frac{I - R}{I - S} = \\frac{\\frac{d + p}{d p}}{\\frac{d + q}{d q}} = \\frac{(d + p)q}{(d + q)p}.\\]", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 2. "}} {"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "In the following, all segment notations denote vectors. \n\nAs mentioned above, we find \\(\\triangle A Q P\\sim \\triangle I B C\\) , and by definitions of the parallelograms we have \\(B R = A Q\\) and \\(C S = A P\\) as well as \\(\\angle R T S = \\angle Q A P\\) , so it suffices to show \\(\\angle R I S = \\angle Q A P\\) . From the similarity \\(\\triangle A Q P\\sim \\triangle I B C\\) , we have a spiral map \\(\\lambda\\) such that \\(I B = \\lambda A Q\\) and \\(I C = \\lambda A P\\) . It follows that \\(I R = I B + B R = (\\lambda +1)A Q\\) and \\(I S = I C + C S = (\\lambda +1)A P\\) . Because \\(\\lambda +1\\) is also a spiral map, we have \\(\\triangle I R S\\sim \\triangle A Q P\\) and in particular \\(\\angle R I S = \\angle Q A P\\) , as we wanted to show. \n\nRemark. This solution is deeply related to the complex numbers solution; indeed, the vectors can be interpreted as complex numbers and the spiral map as a complex scalar multiplication. But it only relies on the additive structure of the complex numbers as a real plane and the linear map acting on them (rather than, e.g., multiplying two points together), making vectors a slightly more natural language for the claims. \n\nRemark. The number 1 in the solution above represents the identity map.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 3. "}} -{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "Let \\(E\\) , \\(F\\) , \\(G\\) be the midpoints of \\(A I\\) , \\(B Q\\) , \\(C P\\) . As in Solution 1, angle chase shows that \\(\\triangle A Q P\\sim\\) \\(\\triangle I B C\\) . \n\nNote that by the Mean Geometry Theorem we have that \\(\\frac{1}{2} A Q P + \\frac{1}{2} I B C = E F G\\) is similar to \\(\\triangle I B C\\) . Homothety with center \\(A\\) and scale- factor 2 maps \\(E F G\\) to \\(I R S\\) . Hence \\(\\angle R I S = \\angle F E G = \\angle Q A P =\\) \\(\\angle B T C = \\angle R T S\\) , so \\(R,T,I,S\\) are concyclic. \n\nRemark. As shown above, \\(E\\) lies on \\(Q P\\) and \\(A I\\perp P Q\\) . One can prove that \\(\\angle F E G = \\angle B I C\\) in another way. Let \\(J\\) be the midpoint of \\(P Q\\) . Then \\(\\angle B I C = \\angle F J G\\) by midlines and \\(\\angle F J G = \\angle F E G\\) by the lemma below applied in \\(B C P Q\\) . \n\nLemma. Let \\(A B C D\\) is a cyclic quadrilateral and \\(E\\) is the intersection of its diagonals. Then the midpoints of \\(A B\\) , \\(B C\\) , \\(C D\\) and the foot of the perpendicular from \\(E\\) to \\(B C\\) are concyclic.\n\n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAEtAagDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooqjq182n6e80ah5iQkSHozscAfTJppNuyE3ZXZezRVDSb9tR06Od1CS5KSIP4XBwR+dX6TTTswTuroKKKKBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFNeRURmZgoA5J7UAKSACScAdSayr6xg1mW0dpYpbSJi7IDuDtjA5Hpk/pXA/FTxFFPoMVrZTO0DzgXDx52lcHAz3GcZrg/COoT2urMlsk8tlKhE8UU/lK7ZG3npnr/nFdNPDydN1U7HPUrJTVNo9qiutM8PXd1Gt2nlTMHS2iUsytjDdPXAqx/bd/dcWGj3DDs9wRGPyrG0/xPoumKEuNIu9MJ6vJblgffcM5ro7LxFo2oAfZdStpCf4fMAb8jzWUqdTeSNIzhsmV/L8SzfensLYH+4jOR+eBR/Y+qScza7cZ9Io1UVtB1IyDkUuRWZoYn/CPzt9/WtQb6SAUf2Bcr9zW9QH1cH+lbYOaXNAGH/ZWrxcwa7I3tNCrCgnxLBziwulHYbo2P8xW5RQBhf8ACQTW3Go6VdwY6ui+Yv5ir9lq9hqP/HrdJI393OG/I1eIrOvdD0/UDumt18z/AJ6J8rfmKANGisH7BrGmfNZXn2yEf8sLn72PZ/8AGp7TxBbSSi3u0ezuenlzDAP0PQ0Aa9FGaKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKDRWHf6tNPeHTNKCyXP/LWU/chHv6n2oAtalrEGn7Y8NNcvxHBHyzH+g96x76KQ2cuoeIrgRWkY3/ZImwv/Aj/ABH2rTs9NttIiluZZPMnILTXMp5Pr9BXNozeLdQ/tC4BTRLRi1vGwx5zDq59h2//AF1pThfV7ETnbRbs5jVYrjVrq1muYhAZyBa2ijAhiJwCR/eP9K6BtAt5ry/0xUWNkCT25A4HGCPpkCmWKHVPElveSA4kZp1B7Rrwn5mty/H2bxDp1z0WYNbv/Mf1qpS5ncmK5VYydNubyyjeLy2uI4Tie0fmSL3XP3lPpWkNJ8Pa9B54sreTPVlXa6n3I5FWdV0+WSRL+xwt9CPl9JF7qapRW8Wpp/aOmObS/U7ZUI4LD+F1/rSTa2G4p7oZ/wAIkLX5tL1fULI9lWXcn5GnhfGFj9y8sdRQdpo/Kc/lxVyx1jdP9jv4vst4Oik/LJ7qe9atae0b+LUj2aW2hgL4t1G041Pw5doB1ktSJR+XWrlr440C5YKb0QOTjbOpQj8606r3VhaXq4uraKYYx86A1Nqb3VvQfvrZmhDd29yge3mjlU90cMP0qfNcfL4L0Zn8y3jms5P79tKU/Tp+lNGkeIbL/kH+IpJFHSO7jDj6Z60vZResX94/aSW6OzorkBrPiuyP+l6PbXiDq9nLtP8A3y1PTx7p8Z26jbX2nt386AlfzGaXsJ9NfTUftY9dDrKr3djbX0JiuYVlQ9mHT6elVLLX9K1DH2XUbeXPYOM/lWjn3rNprRlpp7GAbfU9D+a1Z7+yHWBz+8T/AHT3+laun6lbanB5tu4OOGU8Mh9CO1WqyL/RjJP9usJPs18P4h92T2Yd6QzZorJ0rV/tbvaXUfkX8X34j3/2l9RWtQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVjaxfzebHplgf8ATJx9/qIk7sf6UAQ6lfXF9eHStLfbJ/y8XA5EK+g/2q0dP0620q1EMC7V6sx+8x9SaXTtNg0yzEMOSfvO55Lt3JrnvEGqXGo33/CPaU+2Vhm7uF6Qp6D/AGj0q4Qc3YmUlFXK2pXEni3U2021crpFs2LuZT/rmH8APp61c1w+VYW+l2ihHuWEKKvG1O5/L+daOn2FtpllHaWqbYoxgepPqfesm2mW71a+1V+bezQww/UDLGtJNaRjsZxX2nuO0aFDq1/KgxHAEtY/oo5/Wp/EaH+yjcJ9+2kWYfgf8KXw5E0ejRSP/rJy0zfVjmtG6hW5tJoWGRIhU/iKgp7j45FljSReQwBH41kalZzWl1/alguZAMTwj/lqvr9RUvh6dptEt9x+eMGJvqpxWpTGZ7JY69p6syiSJhlT0ZD9exqkLi+0I7Lrfd2A6TgZeMf7Q7j3pLuJ9Du31C2UtZyHNzCP4T/fH9a2opI7iBZI2DxuMgjoRQAQzxXMSywyLJG3RlORUlY0+kzWUrXWkOsbE5e2b/VyfT0NWdP1aG+ZoWVoLpPvwSfeH09RQI0KKKKACkZVcYZQR6EUtFAjIu/DGi3xJm06AOf4412t+YxVIeE3tOdL1vUbPHRPM8xB/wABNdJSEhRkkAepq1Umla5Ps4voc8D4xsfuz2GooO0imNv04p6+L76041Tw9ewgdZIMTL9eOlWLvxPotiSJtQhLf3UO8/kM1UHia5uzjS9Dv7kHpJKoiT65PP6VfLzayj+n/AI5raKX6hc6/wCHNcCbdTFlexnMUkoMbIfx4I9qkj8d6VYYttZvI4LtepjVnV17PlQcL7mqlxofiDWgRew6TZRt1Bi8+T9eK5LxB8N7vSSLvT7yGYXDJHIs67NrHIBG0EY56VnUhTS9169tzSnKbdmtD07Wr7bpdvPbTsI5Zoh5kI3FkY/w4BzkelLpkk7Xlwoa5e0Crse4jKNu5yBkA46dqyvCqW914ds9In8xLrSvLjljJwQydD/unFdWBWBsLRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUGgClquoJpthJcONxHCIOrMegqto2nPaxyXV2d19cnfK3930UewqnH/xOtdaZubGwbag7PL3P4VY8Q65HotnuCeddSnZbwDrI56D6U1Ft2QnJJXZV8R67LaeXpmm/vNVuuI17RL3dvYU7RNIi0ax8lWMkznfNM33pHPUmq2g6PLZiS/v3E2p3PzTSf3R2RfQCtut3aK5I/MxV5PmkZ2t3rWWlyvHzM/7uIerHgVnajbf2d4Wj0+P/WzFYfqzHk/zqaT/AImfiVIxzBYLvb0MjdPyp+of6V4i0616rCGuGH6D9ag0NaKNYYUiX7qKFH4cU+iigRj6SPs2q6pZ9vMEyj2Yf4itKa7trdwks8aORuCswyR61m3P+jeKLObotzC0J+o+YU66mSDxEGe/jswbMAM+0bvnPHzUm9BpXNQFZYgwwyOM+oIrC+bw9eAYJ0uZuv8AzwY/+ymt5ZFljR1mEykcSKQQ3vxxUF5JZrbut5JCsLDDeawAx+NNaiehOGDAMCCDzmqeoaXb6iql9yTJzHNHwyn61y9r4ssNHuZLH7S99bjm3aBS7D/Y9/atNdX16+40/wAPSRqekl64jH/fPWr9nLroRzx6ak8epXWmSLBqw3Rk4S8QfKfZh2Na7TwpEJWlRYzyGLDB/GsNvD3iPU42TUdYgtoW4aG1h3ZH+83+FUZ/AcOnulyqS6pCg+e2uJTn6rggfhS9xbsd5PZGpdeLdEtW2fbVml7RwKZGJ/Cq41/Vb3/kGeHrt1PSS5YQr+tbGif2RJb/APEttoINvDxrGEZD7j1rYxxS9pBbRv6/8AOST3f3HJjTPFd9/wAfOo2dgh6rbRF2/NqengeymIbUry+1BupE8xC59lFdVRS9tPpoP2UeupQstE0zTgPslhbwkfxKgz+fWr+0AYxS0Vk23uaJJbCYFYvipf8AiQyv3jkjf8nFbdZXiVPM8OX49Iify5oGZXiOwnt5I/EGm8XUCjzkHSVO4P0ra0fVrfWLBLmBuTw6Hqh9DU9qwnsIWIBDxqSD7iuMNtceHNel+xqWjkUyLF2lT+JR/tDqKAO8oqvZXsF/aR3FuwaNx+XsasUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZmuXz2OnMYebiUiKEdyx/zmtOucvLiKXxG0s8ipaaZCZHZjwHb/AOtR6AWGls/C3h4PcPiOFfmPd3Pp6kmsjRtPuL+9Ov6shFzIMW8J6QR+n+8e9QWaS+KtUTV7tGTTYCfsVu4++f8Anow/lXU10W9mrdf60MPjd+gVXvrpLGxmuZD8salvr6VYrmPEWqWBvrSwubuKOAN505Zx90dF9yT2qEm3oVe2rNPQLV7bThLN/wAfFyxmlPfLc4qHTD9p13U7vqqFbdD7L1/Wqc3jWw8tzYW15e7FyWhhO0ADrk9qp6KviqXTVFrYWlqkzGUz3Mm5m3c52jp+Naeykvi09SfaLpqdlVa61CzsV3XV1FCMZ+dwP0rJHhbVbznU/EN0QeTHaKIh+fWqeraZ4Y8KWazzWH2y8kO2CGUmWSZ/QA1N6cd39xUI1JvlhHUwPGHjaKW7srXRJ4ZJYW89pmQsBjgKBxnOeeas6H491XXYxbWsWmwXSMUd57jarMD1VeuPzqe28Fpq1vNfeIII5L6ZCIoE+VLVeypjv61padomj6t4es0uNOtmEcYjGIwCpHHBHPas+dJ3S+86XQgpcs5fNFoeHtfv+dR8QNGp6x2UQT8Nx5qxb+BtDhYSTwSXkv8AfupC5/Lp+lZS+Fr3Tfm0LXbu0A6QTHzovpg8ipV8QeKNL41LRUv4h/y3sH+b/vg/0odefR29A+pRfwu/r/wTpZdF0+SxezFtFHEwxiNQuPQjHeqWl301nd/2TqDZmA/cTHpMv+IqvYeONCv5RCbz7JcHjybtTE2fx4Namo2EGrWgUSAMvzwzIeUbsQai99yZU5U9GrGkOlBGax9I1OaZ3sb4CO+g+8O0i9mFa9BJlajokdzKLq1kNrfL92ZP4vZh3FRWmtSQ3C2OrRi3uT9yQf6uX6HsfatrrUN3Z299btBcxLJG3UEUATA5pa53/iYeH/8AnpfaaPxlhH/swras7yC+txPbyrJGe60AWKKKKACqeqx+bpV2nrCw/SrlRzJ5kEif3lI/SgCloT+boNg3/TBB+QAqDxDZyTWK3NuP9KtG86LHfHUfiKTws+/w7aD+6GX8mNbB5oA5dJv7P8vWbFS2nXIDXMI/5Zn+8Pp3rpYZo54kliYMjjKsO4rF0dRaX+oaS4GxX86IHuj9R+BzUS7vDV3gknSZ24J/5d2P/spoA6OikUhlBBBB5BFLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFU31SySYxNOAwYKTg7Q3oW6A+xNXD0rk576LTdBnsbqCZp28xCqpncWJIb6HPUUAbOt67YaBY/a9Qm8uMnaoClmdvQAda8vs9estdnn+3XgttO88y3KPkSTt/CmOu0DH1rpPiDppvfCdhOsw+1W7p5XdZGYbSD/jUvgHwtZWej/bbmKG4vrhyZGMYIjxxtXP061pTkou7M6kHJWRJH4timVY9H0i+vVHCmOLZGPbcakVfGOo8x29jpsZ7ysZHH4DjNdgFAGMAUoqvapP3Y/qL2be7OQbwjcTRtJrPiC9nRQWZIiIUwPYUzwp4X0sW8moPYRuZpC0PnDeVQcDk9z1rW8SSvJDBpkJxNeybCfRByx/KtmGJLeFIoxhEUKB6AVLqzfUapQXQxvEmIdHNrAoRrqRYFCjH3jz+lbEUawwRxLwqKFH0FY2pH7X4m021HKwK1w49+i/1p3iHxFbeH7ESyhpbiU7Le3T78r+gH9azNYxcnyxF8ReIrXw/YiSQGW5kOy3t0+/K3oB/WsLRNEuZb1tc11hLqco/dx9Utl/uqPX1NGiaJdSXp1zXWWXVJB+7Qfctk7Ko9fU10lTvudd1SThDfq/0QVkaL+5udRszx5c5dR/suM/zzWvWRJ/o3iiJui3UBU/7ynP8jTMdjXooooGVL3S7DUozHe2cNwp/56ID+tYZ8HCyYyaHqt7pjdRGr+ZF/wB8tXT0UGkak46JnF6l/wAJhb+XLLa2uoSwHMVzany5APQqeCD6CtfSviFo9ztt9Sd9NvhxJFdIUAP16Yrd7Via7osd7i8jt4pZ4x80ci5WVfQ+/oaNQcqcvij9x1UNxDcRLLDKkkbDIdGBB/EVJkV53Z+GNMu4vtuiXV5pM5Pzi3lICt3DIeKtrceNNJ4IstZgH/bGX/4k0XI9hGWsJffp/wAD8TuCQRisa70aSOdr3SZRbXJ5eM/6uX6jsfesm3+IOmpIIdXtrvSpjxi5iOwn2YcV0tpf2l9GJbS5injP8Ubg/wAqd0ZzpVIfEirp+tJczG0uoza3y9YXPX3U9xWtmqN/pdrqcASdORyjrwyH1BrMW+vdDcR6nm4s84S7Qcr/AL4/rQZnQ0VHFNHPEssTq6MMhlOQakoAw/C3y6XLF/zyuZU/Jq3Kw/D58ufVoz/Deufzwf61ox6nZyz+THcRtKc4UN1x1x60AZ2rf6JrWmXw4DObaQ+obp+RrYngjuYHhmQPG4wynoRWZ4khM2g3JX/WRATL7FTn/GtC0nF1ZwTqeJY1cfiM0AYtnPLod4mmXbFrSQ4tZ2PT/YY/yroB0qvfWUOoWj2067kYduoPqPeszS72e1uv7J1JszqMwS9pk/xHegDcooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKTA9KWg0Acn4ocXGu6Fpq9GuBM6+y/5NX/Dw8ifU7Hp5NyWUf7LcisYSG8+I0cvVIQ8S/VV5/8AQq2U/wBG8ZSDot3ahvqyHH8jQBu0hOKWsrxBetZaW/lf8fExEMI9WbgUAVNL/wCJlrt5qZGYov8AR4M+33j+dbpOKq6ZZJp2mwWq/wDLNeT6nufzrP8AE3iS08N6cZ5iXnfKwQL96Rvb29TQOMXKXLHcxbzxDbaVqGqajKDNOzraWlun35WUcge2SMmjRdEuZL1tc1xhLqco+SP+C2X+6vv6mqfhHw8yga5qh83ULnMiA/dgVucKPX3rr6W516U1yw36v9EFFFFBkFZGu/uUtL0dbe4Usf8AZPyn+da9VNUt/tWl3MHdozj69v1oBlsHPPY0VT0q4+16Vazd2jGfqOD+tXM0AFFFFABRRRQBi6hbTWF0dUsULZ/4+YR/y0X+8PcVqW1zFeW6TwsGjcZBqasKeN9Cu2u4QTp8p/fxD/lmf7w9vWmD01NqWCK4jMc0aSIeCrqCD+BrnbrwRpMk3n2Qn0246iSykMePwHFdHHIksayIwZGGQR3FOpWKhUlH4WcwE8ZaP/x7X9tq8C/wXKeXJj/eHH41Mvj2GD9xr+kXmmk8F3j8yI/8CHauhqKd4VhP2ho1jP3t5GPxzRsXzwnpKP3aP/L8DLs5YObzwxfW91CeZLISAg/7vdT7Vuadq9vqIZUJjnTiSGQYdD9K4XVrTwOZTLJeW1pc9pbObY+f+A8fpXMXmq3Mc6SaHrd1qssZ+QPaOZF/7aAc/Q0ubuP6nz/A381+p6ZHHK934lt4OJXVWTHqyED9RSteI66dDaiCR43QNatExkjI4LHBG3Az1FeaeHvHOtHxLa3d9NFi+mjt7m28sL5fO089Qy5JOfQ17crAjIORVnG1Z2I7iITWksWM70K/mKzvDEnmeHrTJyUUxn/gJIrXrD8MfLZ3UXaO7lUf99UhG5VDVdMj1O18tiUlQ7opV6ow6EVfooAyNI1KSaR7C9AS/gHzDtIOzD2rXrL1fSzeKlxbt5V7Ad0Mn/sp9jTtI1RdQgYSIYrqI7Zoj1U/4UAaVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRzyrBBJK33UUsfoKkrG8UTNFoUsaH95cMsKfVjj+WaAMLQomGraZNJw9xFPcH6sR/StnXf9H1LSL3slx5TH2cY/mKZcQra+INDiUYVYZYh9AFqx4mhMugXDL9+LEq/VTmgDXzXPsf7V8UDHNvpq5PvK3+Aq/c6nHb6KdQb7vlBwPUkcD8zWE2qxeFPD8clyrTaleMXS3T780rdvoOMmjYqMXJ2iafiHxDbaBZLJIGmuZTst7ZPvyt6Af1rj7jSLprd9U1hxLrF66wRoOVt0J+6v4Zya1tF0S5a8bWtbZZ9UlGFX+C2X+6v9TVm+/wBJ8RWFv1WFWuGH6LS33Ol2px5Yb9X+i/rU1okEUSRqMKqhQPYU+iigzQUUUUAFFV57+ztV3XF3BCvrJIF/nWRceNfDtsSG1SB2HaIl8/kDQXGnOWyLWgARG7sj/wAsLghR/styP51dsZHmsxJIxZvNkGT6ByB+lcBJ8SNKstburu3tb65tmjVZGSMDDr7MRng9q3YNX8RTQqmneFXjjYl1e6ulH3jknAHqaBRpyb7W7tHVUVzYsvHN3y02k2IPYBpGH9KePCGuXP8Ax/eLbvH921hWL9etIpwgt5r8WdAzBQSxAA7k1RuNc0q0/wCPjUbWP/elUVQT4c6S7br251G9buZ7pjn8q07XwV4atDmLRbQn1kTzD+bZp6i5qK6t/L/gmNL478PISsd61w4/ht4mfP4gY/WoW8Wy3aFbLw3q10jDBLQ7FP5128Nla24AgtoowOgRAMVNtHpRZ9xe2praP3v/ACR5fFe+LNIARNFgtLOaT90bu43iHPY7OgraXR/Gd4N02s6fZq38Nvbl8fQtXY3NtDdW7wTRh43GCp71iWFxNo96ul3rFrd/+PSdu4/uH3FFkL6w+kV91/zuZo8DXdx/yEPFOqze0LCIf1qWL4ceHFYPPbzXb92uJ2cn9a63FLiiyE8TVf2vu0Me18MaFZ4+z6TZpjofKBI/E1qLGqLtRQo9AMVJiimYylKW7OWn0fTj42Ej2FsXubM73MS7mIbnnGc4xVhra/0ElrIPeWHU25OZIx/snuPapb/934p0l/78cqH8ga28UCKtjqNtqNuJraQOucEdCp9CO1Z/h3h9VXsL6TH50+/0XfcfbdPl+yXo6so+WT2Yd/rWV4V1aMPd214RDdy3Uj88I5zztPegDraKBRQAVi6vp0wmXU9O4vYhhk7TL/dPv6VtUUAU9O1GHUrRZ4Tjs6HqjdwauVgajay6Zetq1ihZf+Xq3H8a/wB4e4rYtLuG9tY7iBw8bjIIoAnooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsHVf8AS/EOl2XVYy1y4+nA/Wt6sHTP9L8S6nd9VhC2yH6cn9aAF1v9zqmjXPpcmM/Rxj+eKZFfPf3N5azX1pGqzvD5BT52Qcf3u49ql8Uo39j+ev3reVJvyYVHeabu8O6sILsRPeJLKk+MeUXXjn29aAONvvFlgtlYabE/2qSCVg1rEwZ3ZWIRDj9fYVsaTpUkVy+u6/NG2pSDC7mAS2T+4v8AU1wvhDwZdaxrcbXSTabFaxFt8MgWRtwwApH8PWvRYfhz4eR989vNdP3a4nZ8/rSabZ1Up04wtdp+n/BH3PijQrPPn6rarjsJAf5Vzlp400t9ZvruFLy8LbY4hb27N8oH4DrXY/2BoOkWkk8Ok2UYiQuW8lS3Az1PNP8ADFr5GhW7MoEkuZXwO7HNFmL2lFdG/n/wDnh4l1i6H+g+Fr9gejXDLEPxyagj1HxZeyBIRoNoWOAst35rE+wWvQMCsC5vbbSdU1a+uflht7SORsDJ4LdPftRYX1hLSMF+Zljw14ruuLvxMkKnqtrbKMfieaX/AIV9BMc3+t6vdnuDcbFP4Af1qTw38QbPxBqTWD2ctnMULxeY4YOB16dDz0rrSwz04xRYHiqvR29Ejmbf4f8Ahi2O4aVHK396ZmkP/jxNU/EOsaH4RiS3s9Ot5NSl4gtoYxuJ7E45AqDxZ46FgW07R1FxfsdhdeVjJ7e7VQ8M+GWspG1TVHNxqk3zFnOfLz2HvWigo6vfsKE5zXNOTsvx8l+pjx+Ar7VpJr3WNSMUt65kuIIYx8mR91W7HHsa0V0vxX4eAOh6wby2QYFteYbAHYE/4iuvoprQSm03b/gHMWvxOns5Rb6/pE1vIOC8XQ++D/jXW6b4t0TVcC21CPef+WcnyN+RqldWdtexGK6gjlQ9nXNcxf8AgaAkyadL5Z6+TMu9PwPUU+SEtnZico/aj93+T/Rnp4YEZzS7hXkMU+r+H2CyT3unoOjoftFsfwPK/nXS2Hi3VvJEsljb6nAOs2nyfMPqh5zUShKGrWnfoCpwm7U5Jvs9H9z/AEO6zSZrn7Hxnot44ia5+zT9PKuQY2z6c8VurIjqGVgQehBzUkzpzg7TViSqmo2EOpWj20wyrdCOqnsR7irdFBBiaVfzwXJ0nUW/0pBmKXtMnqPf1rbrP1XS49StwNxjnjO6GVeqNUOj6m90ZLS8Xyr6DiROzD+8PY0Aa1FFFAGHrfyarosvpclP++lNbgrD8SfJHp83aO9iJ/PFblADZHEcbOeigk1zuh6bb6h4ajW6iDiZ3kz0IJY8g9jWnrtx9l0S8l7iIgfU8D+dSaTbm00m0gPVIVU/XHNAGX59/oB23Re804dJgMyRD/aHce9blvcw3UCTQSLJGwyGU5FSEZGD0rDuNHnsp3vNHcRuTmS2b/Vy/wDxJ96AN2is3TtZhvnaCRGt7tP9ZBJww9x6j3FaQOaADtXOXKP4dvGvIUJ02ZszxjnymP8AGPb1ro6a6K6FHAKsMEEcGgBI5EljV0YMjDII6EU+uciZ/Dd4IJCTpUzfunP/ACwY/wAJ9q6IEYGOlAC0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUARzyrBbyTOcKilj9AM1k+FomXRUnf/WXLtO3/AAI/4Yo8UTNHokkUf+suGWBR6ljj+VatvCtvbxwp92NAo/AUANvYFurKe3bpJGyH8RiuTW8kvtA0/SUci4ncwSkdVRD8x/ICuyJwMmuL8PNA/jHUplQhJgTbE9Dg4cj6mgDVMaWHiy1EahYri0MQA6ZTkfpW+AKw/EeYG06+H/LC6UN/utwf6VuDpQBi+KHP9kfZkOHupUgX8Tz+gNbEUaxRJGowqKFA+lYt/wD6X4p0626pbo9ww9+grdzigArmvEjLqYk0G3jWSa7j23DHpFH6n39Kv6zqpskS3tl8y+n+WGP3/vH2FQW8dn4b0ua7v7keY3zzzv1ZvQf0FNJvRCbSVzF0z4d6Jo7SXN1NNdsqECSdwvljuRtx6da5rWNUYtJFod7exWBJi3+YW89/7kanr9a0Na1WfWYBc36y22kM2LayXia8btn0WrujaO8ci6hfogudu2KFPuW6f3VHr6mtdKfnL8v+CVTp+0XPPSH4vy9PMxtC8NalpTLevHaz3BXiNiQY8+h9fU1v/wBr3EP/AB96ZcR/7UeHH6VrUVN23dmspuXy+75GfDrmnTHaLlUb0k+U/rV9XV1DIysD0KnIqOa1guBiaGOT/eUGqDaBY53QCW3b1hkK/wD1qCDUorJ+wapB/wAe+peYB/DOgP6il+2avAP3+nxzKP4oJP6GgZqFQwIIBB7GsW78L2M0v2izMlhcjkS2zbfzHSphr9op23KT2zf9NYyB+Yq9De2tyAYbiN8+jCqjOUXdMmUYyVmjnrkavaoY9V0621y0HG9EAlA+n+FN01dLuZMaDrN3pVyD/wAe0jcZ9NjcGuqqhqGi6fqi4u7ZHbs44YfiOaf7uXxKz7r/ACHCdamrQlddnqhy6p4p00f6TaW2qQj+O3by5Mf7p4P4VbtfG+kyyeTdtNp8/wDzzu49n69KwF0/XdHwdK1AXcA6W15ycegapV8T6fcH7Hr9i1nIeNtwm6Mn2apdCW8Hf+u25X1ijLSrHlflp/wPyO6injnjEkUiSIRkMhyDWbq+myXIjurRxFfwcxv2b/ZPsa59fDGnt/pOj3c9izch7SXKH/gPQ1Klx4s0zjNrq0I9f3UuP5GsdVoy/YRlrCX36f8AA/E6HSdTXUbcllMdxGds0J6o3+FaNee3via2gvFv3trnTdQQYkjuIz5c6+m4cZ9Ca7PStXstYsUurKZZEYcgHlT6Gi6ZnOjOHxIp+Kh/xInf/nnJG/5MK2lO5QfXmsrxIA/h2+A6iPd+Rz/Sr1nIJLKB89Y1P6UzMy/EP+kPYaeP+Xi4UsP9lfmP8hW4AB0rCtT9v8TXVz1is0EEZ/2zyx/kK3aACjFFFAFDUtJttRQGQFJk5jmjOHQ+xrPj1S70mRbfWMNCThL1B8p9nHY1v0ySNJYzHIoZGGCCMg0AKjK6BlIKkZBHenVz76feaKxl0vM1p1ezc9PdD/StLTtTttSiLwOQy8PGwwyH0IoAsXVtFd27286B43GGBrFsLmXR7xNJvXLQv/x6Tt3H9w+4roAc1V1Cwh1K0a3nX5TyGHVT2I96ALVFYmk388Vy2l6iR9qjGY5O0ydiPf1rboAKKKKACiiigAooooAKKKKACiiigAooooAwdU/0vxHpdmOViLXLj6cD9TW9WDpn+leJdUu+qxbbZD9OW/Wt40AZPiG8e10xkh/4+LgiGIDrubjNUNQ07+ytMsbm1XL6dywH8aH7/wDjUyn+1PFDP1t9OXaPQyt1/IVusiyIUcZVhgg9xQBla2qal4auTEdweLzEI9uR/Krum3Iu9Ntrgf8ALSJW/HFZGjE2U9xodxkhAXtyf4oj2/Ck0K6+yeHbhZDzYvKjfRSTQBJpB+1a5q171UOtuh9lHP6mtDVdSi0yzM0nzMTtjjHV27AVn6K8emeGI7q6bZuBnkJ9WOf8BXO3etu+pJcG2NzqcgxZWI6Qr/ff0Jqoxc3ZClJRV2aL3kOgQPqmrt5up3XEcCcsPRFH5ZNY98ZG2ax4lUySFsWWlIcgMemR3b+VWWhi8PqdX1mU3+sTnbEijOGPRIx2HvT9N064luzqurEPfOMIg5WBf7q+/qa0bUPdhv3KpUuf95V+Hou4mm6bPLdf2rqpD3zDEcY+7br/AHV9/U1s0UVCVjWc3J3CiiimSFFFFABRRRQAhVWGGUEehFUZ9G0+4JL2sYb+8g2n9Kv0UAZP9ivD/wAemo3MOOisd6j8DRjW7fvbXaj1yjH+la1FAjK/tiaH/j7025j9WQeYv5ilOp6RqEZhmlhdT1jmGP0NalQzWltcDE0Eb/7yg0bBuYh8OC2cz6FqEti552Kd8TfVakTxHqmlnZreml4h/wAvVp8y/Ur2qw2gWQObcy2zesUhH6Un2HVYP9RqKyqP4biPP6jmr9pzK01f+u5n7Pl1g7f12NWz1PS9ag/0eeG4Uj5kOMj6qa53WfCttZXP9qaas1rj/XrZuUOP7wA4/Cqt9o0ksnnS6V5c45FxYS7W/LvUMXiTWdGYJcBr63/u3Eflyj8ehpeyjL4Xr2ZpDEVKe/4fqjWnHiJNGna01G31S0lhbi4TZJjB/iHBP1p1r46j07QIW1HTbu2kEIEchTfG5xx8wrFj8aaRp5llWSSKzn4ltXQ74nPdQOoPoKk8La1aeJprPT13qthEZZIpVwXOcAgdwMis5Upxu2noarEUp6SSv5aP+vkdt4Yns20iIW95BcSuTJKY3BO88nNbgOa5S88L6Tdv5v2b7PP2mt2MbD8uv41Etl4j0wf8S/V0u4h0hvkycf745qLjdGEvgl952Qork08X3NlhdZ0e5twOs0A82P68citnT9f0zVRmyvYZj/dDfN+XWi5nKhUirtaGnRSZoyaZkGKzNR0aO6lF1byG1vV+7NGOvsw7itPNLQBiWmsyQXAstXjFvcE4SUH93L9D2PtW1uzUN1Z297btBcxLJG3VWFYuL/w+cjzL3TR26ywj2/vCgDR1bS01G2ADmK4jO+GZeqNUWkam9yHtLtRHfwcSJ/eH94exq7aXlvfwLNbyrJG3cfyNUdX0xrlo7u0YRX8HMb9mH90+xoA1qKz9J1RNStydpjnjOyaI9Ub/AArQoAKKKKACiiigAooooAKKKKACoriVbe3lmb7qIWP4CpaxvFErJoskKH95cssC4/2jg/pmgBPC8TJokczj95cM07Z/2jkfpir2qXy6dps9038C/KPU9APzqe3hWC3iiXgIgUfgKxdT/wCJnrtppo5hg/0mf8Pug/jzQBc0Cyay0qMS8zykyzHuXbk1pngUgpJP9W30NAMxNXWK+RLiwuInv7U+ZGFcEsP4lPsRXMT6vBKNRtYpFT+0HicKxwVJ4f8ALFWtJjljt9BlzaspkKhYo9sgyrck5OQO/ArxfxAWk1/VGuzm7N1ICV653Hbs9sYxiuunhvaScea2hzSxHJHmtc9Vv9VvPE2qJp2irmztsL5zD5FI43H1PoK2AmneDtOaQ77i+nb7x5luHPb6fyrAhGv+G/DdntudLjMqKIoIYmeSVyB+Z9TVi28L+Iru7XVNQ1mKO9K4VRbhxCPRcnipm18EWkv68jejSv8AvaqbX5+n6s0dN024kuzq2qkPfOMIg+7br/dX39TWxWQPDustxJ4lmx/sWyLS/wDCKXLf6zxDqZP+y4X+VQowX2vzNZ1ak3dx/I1qKyf+EOif/Xatqkv1uDS/8IRpR+9JeP8A71w1P93/ADfgR+8/l/E0mmiT70iD6sKja+tEGWuYR9XFVV8FaCv3rNn/AN+Zz/WpV8IaAnTS4T/vZP8AM0r0u7C1Xshra1pafe1C1H1lFQP4l0WP72p23/AXz/KtFPDuip93SrP/AL8qf6VPHpOnRf6uxtk/3YlH9KOal5j5avkYJ8XaEOl+p/3Y3P8AIU0+LtLP+rNzL/uW7f4V04toB0hjH0UVIqKv3VUfQUc9Ls/v/wCAHJV7r7v+Ccn/AMJVbN/q7DUn+lsaP+EhuWH7rQNUcevk4rraKPaw/l/EPZz/AJvw/wCHOTGs6s/+q8N3mf8AbdV/nTvt3iRvu+HQP967T+ldVRS9qv5V+P8AmHsn/M/w/wAjlvM8VSfd0yxi/wCulwW/lR5Xi5uPL0lPxc/1rqaKPbdoofsv7zOX/s7xU/J1Gwj9lhJ/nS/2L4jk+/rsKf7lsK6eij20uy+4PYx7v7zmf+Ea1Zvv+Jbj6JAo/rQfCMsoxca9qMgPUKyrn9K6aoLu7hsbZ7idwsaDJP8ASl7ef9JB7GH9NnnXivwFaJZRGwuLmbUjKPJjmcEP65wOOO9ReFfBGsaZqf8AaF9dxac6o0cKh1cuTjOe2OOnvXc6TbS3MzareLiWQYhQ/wDLJP8AE1MFtm1TUhfCEgKmzzccRbecZ7bt1axxFVwcL6GE6FOM1NLUh/4n9t1FpeL+Mbf4Un9uSwcXul3UPqyjzF/MVqWzQvZ27W4YQmNfLD5zt7ZzzUtc2x1rVXM6DXNMuTtS7jDf3X+U/kajvNA0fVP3ktpE0naWP5W/Mc1dnsLS5GJ7aKT/AHkBrPbw5Zq261kuLVvWGUj9KVioylF3i7EC6RrGmnOla1KyDpBer5q/TdwRUq+JtWsDjVdEkKDrPZN5i/8AfPUUv2HWbcfuNTSZR/DcR/8Aswo/tDV7b/j50sSj+9byZ/Q0WLdVS+OKf5/galh4n0fUyEt76Pze8b/I4/A4NbG4YzmuGu7rw/qR2anZeVJ6zwFWH/AhRbaZJCN2g+IZY1HSGVxPH9MHkUXZPs6UvhlZ+f8Amv8AI7nIoyK5JNd1/TuNR0hbuMdZrF8n/vg81fsfF+jX0nlfahbz/wDPK5Hlt+RoTTIlh6iV0rry1JbvRnjna90qUW10eXT/AJZy/wC8P61Lp2spcSm0u4za3y9YXP3vdT3FaQdWGVII9RVW+0y11KHy7hOVOUdeGQ+oPamYlHVbGeG5Gq6cv+kxjEsQ6Tp6fX0rR0+/h1G0S4hb5W6qeqnuD71kre3uiOItSLXNn0W8VeV/3x/WmXKNp051nTj5tpKN1zFGchh/fX3oA6Oiora4iu7dJ4XDxuMqw71LQAUUUUAFFFFABRRRQAVg6n/pfiTS7TqsO65cfThf1reNYOlf6X4i1W86rEVtkP05b9cUAbU8yW8Ek0hwiKWY+wrI8OQvJbzalOMTXrmTB7J0UflTfELNdG10mJsPdv8AvMdoxy3+FbcaLGioowqjAA7CgB1Iehpc4rI1jVHtyllZASX1xxGvZB3Y+woAz79YXv8A+zNJt4Ybl1/0i4jjAMSHtkdzUmpy6T4c0qONrZJXK+VBCFDPKx7D69zTJ7i08J6UPMLXF5M3CjmS4kP+fwqrpelXEl22r6uQ+oOMIg5W3X+6vv6mhyN6VJW557fn/wAAw9KsJ9D1GO/1hAyTDbEQSy2eT9z6e9duCGUEEEHkEU2WJJomilQOjDDKRwaxVE2gPg75tMJ4PVoP8VpFTm5O7N2imRSxzxLLE6ujDIZTkGn0EhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVBd3kFlAZbiQIo/Mn0A7mgCSaaO3haWVwkaDLMewrEt4ZNcu1vrpCtlGc28LD7x/vn+lSRWs+sSrc38ZjtVOYbY9/8Aaf8AwraxgYHSgApkkUU2zzoYpNhyu9A236Zp9FAWTAnJyaKKKACiiigAooooAa6JIpV1VlPZhms+fQNMnO5rRFb+9GSp/StKigNDG/sS4g/48tUuYv8AZkxIP1qteWGpzxlL2z0/Uo/9pdjfrxXRUUAm07o4cWz6a260/tbSSP4UPnw/kc1etPGGq25xMtnqUY6tA/kyf98N/SuqqtcafZ3X+vtopD6sgz+dFuxp7Vv40n/Xff8AEr23jPRrsiG5ke0lfjyruMpn8eh/OnGxmss3ehyJJA/zPalso/up7H9Ko3HhPTbhGVVliU9Qr5U/gcisj/hC77T5DLo+sS27f3RlQfqOh/KjUlxpS2vH8V/n+ZrWWqQ6XcvJAHSxdv8ASLZxh7Zz3x/dNdgjh0DKQVIyCO9eVapN4jt0zqVraXhQYFxBIscoH8iPbFZuj/E2801ZLGPThdJCQf3s3llAf4RgHP8AIU7pkToShHm3R7TRVDRtTi1jSLTUYAyx3MYkCt1XPUH6VfoMQooooAKKKKAIriZbe2kmf7salj+FZXhiJotDjmk/1lwzTuT3LHOfyo8UysuiPAh/eXLrAv8AwI8/pmjWpmsdFSztuJ5gttCB2zxn8BQBHo2dQ1S81Zh8hPkW+f7ink/ia3qrWNoljYw20Y+WJAo96S+vobC0e5nbCIM+5PoKAINW1JNOtt+0yTOdkMS9XbsKxJLmPw3ZtqGoZuNVuztWNOWZuyL7CoZ79bADW9URnvZvksbNeWAPQAep7ntS6VpU8l4dX1ciTUZB8qD7tuv91ff1NJvob0qStzz2/P8A4HcXS9LuJLs6tqzCTUZB8ijlbdf7q+/qa3KKKCpzc3dhSEBgQQCD2NLRQSY02n3Omytc6Vgxk5ktGPyn3X0NW7HVbe+JjXdFOv34ZBhh/jV6qd7pltfAGVSJV+7Khwy/Q0AXKKx/M1XTf9Ygv7cfxJ8soHuO9W7PVrK94imHmd43+Vh+BoC5dooooAKKKKACiiigAooooAKKKKACis661uzt38pGM856RQjc3/1qg8jVNSH+kuLK3P8AyyjOZGHu3b8KAJbzWI4pfs1pGbu7PSOPov8AvHtTbTSnecXmpSCe56ov8EXso/rV20srexi8q3iWNe+Op+p71YoAKKKKACiiigAoozVSfU7G2BM95BHj+9IBQNJvYt0VhS+MNCjbat8JW9IUaT+QqMeKHuP+PLRNUuPQ+TsH5k0ro19hU/l+/T8zoaKwhdeKbn/UaFDbg9GubkfyXNOXTPFtx/rdR0+1HpDCXP8A48aLi9mlvJL5/wCVzbzTWdUGWYKPUnFZA8IXk/8Ax++ItQkz1EO2MfyNTR+A9DJ3XEU903rcTs/9aNRfulvK/ov87DrjX9Itc+dqNspHbzAT+Qqg3jLSGJW3a4um9LeBn/pW/beG9FtMeRpdqpHQ+WCfzNaaRpGu1FCj0AxT1F7SiujfzsccNf1G4/48/DmoP7zbYh+pNPU+Lro4Sw0+0HrNOzkf98iuv2jFAUDtRbzJ9ul8MF+L/U5IaF4kuP8Aj41+GAd1trUfzbNPHgpJeb3WtUufUedsX8hXVbRS4osg+tVOmnokc5D4I8PREE6ekzDvM7SfzNQap8P/AA/qkscjWrWroNpNq3l719Gx1/nz1rqdorM1iG4mSBICrYk3PCZDH5i46Aj86dkZTq1J/FJv5luytILC0htLWMRwQoI40HQADgVZrJ0OVWS4i8q4gkikw8Ezh/LJAOFYZyOc9T1rWoICiiigAooooAwNS/0vxLplp1WENcv+HA/WiL/iZ+J5JusGnr5aehkbqfwHFUzfCC+1vVj8whC20XuR2/76Na+i2J0/S4o5D++bMkpPdjyaANCWaOGF5JHCIi5Zm6AVxeoavFI6ardo726ttsLID5p3/vYo8Q67FO2whpLJJNixx/eu5eyL/sjuam0fSJvtP9q6qVfUGXEaL9y3Tsqj+ZpN9EdFKkmvaT2/P/gdx2laVcPdtq+rsJNQk+4nVbdf7q/1NblFFA5zc3dhRRRQSFFFFABRRRQAVTu9Lsr7m4t0ZuzgYYfiKuUUAZH9mahaf8eOolkHSK6G8fg3Wk/tLU7b/j70tpFHV7Z93/jp5rYooCxkL4k07OJjNAfSWJh/SrSaxpsgyt/b/QyAH9auMqsMMoI9xmqz6ZYynL2kDE/7AoDUet7aN926hP0kFI1/Zp966gH1kFV20PSm62EH/fApP7H0mIZNlbKB3KigNWOk1vS4h81/B9FcMf0qsfElm3FvHc3DdhFETTZL/wAOWBJaewjI7KVJ/Sof+Ex0g/LatPckdFt4Gb+mKLo0VGpLaJY+2azdf8e+nx26H+O4fJ/IUf2PPdc6lfyzDvFF8ifjjk1ANf1G4/48vDmoOOzTbYh+ppw/4S+5+5p+nWg9Zpi5H4LSuP2LXxNL5o1raytbNNttBHGO+1ev41PWKNB8TXH/AB8a9DAD1W2th/Ns1IPBSS/8fus6ncnuPO2D8gKeouWmt5/cmaMt1bwAmWeKMDqWcCs2fxTodvkPqduSO0bbz+masQ+B/D0J3Np6zN/emdpD+prVt9J061A8ixt48f3YwKLMXPQXd/cv8zmB4utJjizsdQuz6w2zEfnTxquvXA/0Xw1MAejXM6x/oM11+wDpTqLC9vBbQ+9v/gHIi08YXPU6XZr/AMCkI/pTx4Y1qf8A4+/EswB6rbQLH+pya6yiiwvrMuiS+S/U5ZfAunyc3l3qF4f+m1yxH5Crlt4P0C2IKaVbMR3kXef1zW7RRZEvEVXo5MrxWdvAMQwRRj0RAP5VPilopmLbe4nNGKWigBKKWigAooooAKKKKACiiigAqvdWcN4oWZN205VgxVlPqCORViigCC2tYrVSsSkZOWJYsWPqSTk1PRRQAUUUUAFRXMy29rNM5wsaFyfYDNS1g+LrsW3h+ZdwBmYRj6Hr+gNAGNo8TXz2Fm/3VJv7n3Zj8g/rT/FviRLc/wBmWzM8r/K/lcsSf4F9z+lZs+t/8I/ooESF9X1E5iiUZZU6L+gq34a8NNZH+0dSIl1GTnnkRA9h7+ppN9EdFKirc9Tb8/8AgEugaA1s63+oBTelcRxL923X+6vv6muiooosOc3N3YUUUUEhRUUtzBApaaaONR3dgBWbP4p0O3zv1O3JHZG3fyzRcuNOcvhTNeiueHi+0m/487LULv3htmI/M4FPGq69c/8AHp4amUHo1zOqfoM0rlewn109WjeorDFr4xuRz/ZlmD/vSMP6U8eGdbn/AOPvxLMoPVbaBU/Xk0ByQXxTX4v8jZJAGSeKqT6nY2wzPeQR/wC9IBVUeBdPk5vLvULw/wDTa5bH6VbtvB+gWxymk2zEdDIu8/m2aepN6K6t/L/g/oZkvjDQoztW+EzekCNJ/IEUweJ3n/48tE1S49D5G0fma6uGzt4BiK3ijA6BUAqfFFmL21JbR+9/8A5AXfim4/1Ogw247Nc3I/ktOGmeLbn/AFuo6faA9oYS5H5muuxR+FFhfWGvhil8r/nc5QeEbybm98R6i/8Asw7Yh/I1LH4E0MndcRT3Tf3ridnz+tdNQBRZCeJq9Hb00/Iy7fw1otpjyNLtVI6HywT+ZrSWJEUKqhQOwGKfRTMpTlL4ncTaPSjApaKCRMUYpaKADFGKKKAExS0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAhryvx74x064vbXTrORrmSKYh1RTtaToF3dM9e9epsM8e1eX23wplGsoLq8gl0qOUSKoU+Y4ByFPYehOefQUFRaUk5K6J9Ej07S531bXNStX1aYc/vAVgXsqj6Vrt4y0gnFvJcXTelvbu/64xXQW3hvRLTHkaXaKR0PlAn8zWisUaDCIqj0AxUpM6qlelJ3s3+H4anHjX9RuP+PLw5qEgPQzbYx+pp4bxfc/6vTtPtR/02nLn8l/xrr8UuKdiPrCXwwX4v8AU5EaH4muP+PjXoIAeotrYfzbmnr4KWXm91rVLg9x52xT+AH9a6rFLiiyF9aqdNPRI5yLwN4dibcdPErf3pnZz+prUttI060x9nsbePHdYwKv4oxT0M5Vakvikxu0UoGKXFFBmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc5daxJHe6jE2pWtsbcgRRyKCz/ACg+uTye1dHWZJo0M/28SuSLpw3AwYyFABB9QRnNAFy0lee1hlkjMcjoGZD/AAkjpU9RW8ckcKLLJ5sgUBn243H1xUtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//2Q==)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 4. "}} -{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "Let \\(O\\) be the circumcenter of \\((A B C)\\) . Let \\(M\\) , \\(N\\) , and \\(L\\) be the midpoints of \\(O D\\) , \\(P C\\) , and \\(Q B\\) respectively. \n\nClaim 1. \\(\\triangle O P Q\\) and \\(\\triangle D C B\\) are directly similar. \n\nProof. Clearly \\(D B = D C\\) and \\(O Q = O P\\) . Also note that \\(\\angle Q O P = 2\\angle Q D P = 2\\angle Q D A + 2\\angle P D A =\\) \\(\\angle B D A + \\angle C D A = \\angle B D C\\) . So the two triangles are directly similar by SAS. \n\nClaim 2. \\(M L = M N\\) and \\(\\angle L M N = 180^{\\circ} - \\angle B A C\\) \n\nProof. Note that since \\(\\triangle O Q P\\sim \\triangle D B C\\) by the Mean Geometry Theorem, we have that the average of the two triangles is also similar to them, therefore \\(\\triangle M L N\\sim \\triangle D B C\\Rightarrow M L = M N\\) and \\(\\angle L M N =\\) \\(\\angle B D C = 180^{\\circ} - \\angle B A C\\) \n\nLet \\(K\\) be the reflection of \\(A\\) over \\(M\\) \n\nClaim 3. \\(K\\) is the circumcenter of \\(\\triangle R T S\\) \n\nProof. Note that since \\(A Q R B\\) and \\(A P S C\\) are parallelograms we have that \\(A - L - R\\) are collinear and that \\(A - N - S\\) are collinear. The homothety centered at \\(A\\) with scale- factor 2 maps \\(\\triangle L M N\\) to \\(\\triangle R K S\\) , therefore \\(K R = K S\\) and \\(\\angle R K S = \\angle L M N = \\angle B D C = 2(180^{\\circ} - \\angle R T S)\\) (and \\(K\\) and \\(T\\) are in opposite sides of \\(R S\\) ), implying that \\(K\\) is the circumcenter of \\(\\triangle R T S\\) \n\nClaim 4. \\(K T = K I\\) \n\nProof. Note that \\(A O K D\\) is a parallelogram. Let \\(B T\\) intersect the \\((A B C)\\) again at point \\(G\\) . Since \\(\\angle A B G = \\angle A B T = \\angle Q A B = \\angle Q C A\\Rightarrow A Q = A G\\) and also \\(O Q = O G\\) hence \\(A O\\perp Q G\\) . Then by Reim's theorem we have that \\(Q G\\parallel T I\\) and also that \\(A O\\parallel D K\\) , so \\(D K\\perp T I\\) . Since \\(D I = D T\\) , it means that \\(K D\\) is the perpendicular bisector of \\(T I\\) , therefore \\(K T = K I\\) . \n\nThis means that \\(R T I S\\) is cyclic with center \\(K\\) . \n\nRemark. When \\(K\\) and \\(T\\) are on the same side of \\(R S\\) , it can be shown that \\(\\angle R K S = 2\\angle R T S\\) .\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 5. "}} -{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "As shown above, we have that \\(BTIC\\) is cyclic. Let \\(D\\) and \\(E\\) be the second intersections of \\(AC\\) and \\(AB\\) with this circle, respectively. Since the center of this circle lies on \\(AI\\) (by symmetry about \\(AI\\) ), we have that \\(AB = AD\\) and \\(AC = AE\\) , therefore \\(BE = CD\\) . Note that since \\(C - I - Q\\) and \\(A - B - E\\) are collinear, by Reim's theorem we have that \\(AQ \\parallel EI\\) and since \\(AQ \\parallel BT\\) , we have that \\(BT \\parallel EI\\) . Similarly, we get \\(CT \\parallel DI\\) . Let \\(F\\) and \\(G\\) be the intersections of \\(ID\\) and \\(IE\\) with \\(PS\\) and \\(QR\\) , respectively. Clearly, \\(RGEB\\) and \\(FSCD\\) are parallelograms. Since \\(RGEB\\) is parallelogram and \\(BEIT\\) is isosceles trapezoid, we have that \\(RGIT\\) is isosceles trapezoid. Similarly, \\(SFIT\\) is isosceles trapezoid. Hence, both of them are cyclic. Note also that \\(QR = AB = AD = PF\\) and \\(QG = AE = AC = PS\\) . Since \\(QR\\) and \\(PS\\) are tangents to the circumcircle of \\(\\triangle ABC\\) we have that \\(R\\) and \\(F\\) are symmetric (reflections) about the perpendicular bisector of \\(PQ\\) . Similarly, \\(G\\) and \\(S\\) are symmetric about the perpendicular bisector of \\(PQ\\) . This gives us that \\(QP \\parallel RF \\parallel GS\\) and that \\(RFSG\\) is an isosceles trapezoid, hence a cyclic quadrilateral with \\(\\angle RGS = 180^{\\circ} - \\angle GQP = 180^{\\circ} - \\angle QAP = 180^{\\circ} - \\angle RTS \\Rightarrow R, G, S, T\\) are concyclic. Combining all the facts about the cyclic quadrilaterals we proved above, we have that \\(R, G, S, F, I, T\\) are concyclic. Therefore \\(R, T, I, S\\) lie on a circle.\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 6. "}} -{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "Let \\(E\\) be the \\(A\\) - excenter of \\(\\triangle ABC\\) . Let the midpoints of \\(AQ, QB, CP, PA\\) be the points \\(F, G, H, J\\) , respectively. Both \\(PD\\) and \\(EC\\) are perpendicular to \\(CI\\) , hence \\(PD \\parallel CE\\) . \n\nSince \\(PA = PC\\) we have that \\(AJHC\\) is an isosceles trapezoid so it is cyclic. Let \\(K\\) be the second intersection of \\((AJHC)\\) and \\(AI\\) . Then \\(\\angle ADP = \\angle ACP = \\angle ACH = \\angle AKH \\Rightarrow DP \\parallel KH\\) . So \\(KH\\) is a line passing through the midpoint of the side \\(CP\\) of trapezoid \\(DPCE\\) and parallel to the bases, hence \\(K\\) is the midpoint of \\(DE\\) . Similarly, we show that the circle \\((AFGB)\\) passes through the midpoint of \\(DE\\) . Homothety centered at \\(A\\) with scale- factor 2 maps \\((AJH)\\) to \\((APS)\\) , \\((AFG)\\) to \\((AQR)\\) , and line \\(AI\\) to line \\(AI\\) . This means that the circles \\((AQR)\\) and \\((APS)\\) intersect on \\(AI\\) , call it point \\(L\\) . \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nNow, \\(\\angle I L R = 180^{\\circ} - \\angle A Q R = \\angle Q A B = \\angle Q C B = 180^{\\circ} - \\angle I T B = 180^{\\circ} - \\angle I T R\\) , therefore \\(R,L,I,T\\) are concyclic. Similarly, we get that \\(S,L,T,I\\) are concyclic. Combining these, it means that \\(R\\) and \\(S\\) belong to the circle \\((L I T)\\) . The conclusion follows. \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 7. "}} -{"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "EGMO", "problem": "Let \\(n > 1\\) be an integer. In a configuration of an \\(n \\times n\\) board, each of the \\(n^{2}\\) cells contains an arrow, either pointing up, down, left, or right. Given a starting configuration, Turbo the snail starts in one of the cells of the board and travels from cell to cell. In each move, Turbo moves one square unit in the direction indicated by the arrow in her cell (possibly leaving the board). After each move, the arrows in all of the cells rotate \\(90^{\\circ}\\) counterclockwise. We call a cell good if, starting from that cell, Turbo visits each cell of the board exactly once, without leaving the board, and returns to her initial cell at the end. Determine, in terms of \\(n\\) , the maximum number of good cells over all possible starting configurations.", "solution": "We will show that the maximum number of good cells over all possible starting configurations is \n\n\\[\\frac{n^{2}}{4} \\quad \\text{if} n \\text{ is even and}\\] \\[0 \\quad \\text{if} n \\text{ is odd.}\\] \n\n## Odd \\(n\\) \n\nFirst, we will prove that there are no good cells if \\(n\\) is an odd number. \n\nFor Turbo to reach her goal, she must return to her initial cell after visiting every cell exactly once. Consider the chessboard coloring of the board. Without loss of generality, we assume that Turbo starts in a black cell. Since, at every step, Turbo moves to a cell of a different color; she will be in a white cell after \\(n^{2} \\equiv 1 \\mod 2\\) moves. Thus, it is impossible for Turbo to come back to her initial black cell on her \\(n^{2}\\) - th move, which is a contradiction. Thus there are no good cells. \n\n## Lower bound for even \\(n\\) \n\nWe will now construct a starting configuration with \\(\\frac{n^{2}}{4}\\) good cells for even \\(n\\) . \n\nLet \\((i,j)\\) denote the cell in row \\(i\\) and column \\(j\\) . Consider the following cycle \n\n\\[\\begin{array}{r l} & {(1,1)\\rightarrow (1,2)\\rightarrow (1,3)\\rightarrow \\ldots \\rightarrow (1,n)}\\\\ & {\\qquad \\rightarrow (2,n)\\rightarrow (2,n - 1)\\rightarrow \\ldots \\rightarrow (2,2)}\\\\ & {\\qquad \\ldots}\\\\ & {\\qquad \\rightarrow (2i - 1,2)\\rightarrow (2i - 1,3)\\rightarrow \\ldots \\rightarrow (2i - 1,n)}\\\\ & {\\qquad \\rightarrow (2i,n)\\rightarrow (2i,n - 1)\\rightarrow \\ldots \\rightarrow (2i,2)}\\\\ & {\\qquad \\ldots}\\\\ & {\\qquad \\rightarrow (n,n)\\rightarrow (n,n - 1)\\rightarrow \\ldots \\rightarrow (n,2)}\\\\ & {\\qquad \\rightarrow (n,1)\\rightarrow (n - 1,1)\\rightarrow \\ldots \\rightarrow (2,1)\\rightarrow (1,1).} \\end{array} \\quad (1,1)\\] \n\n![](data:image/jpeg;base64,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)\n \n\nNote that the cycle returns to the initial cell after visiting every cell exactly once. To prove that \\((1,1)\\) is good, we need to find a starting configuration such that Turbo traverses this cycle. \n\nLet \\(c_{i}\\) be the \\((i - 1)\\) - th cell on the cycle: so we have \\(c_{0} = (1,1)\\) , \\(c_{2} = (1,2)\\) , ..., \\(c_{n^{2} - 1} = (2,1)\\) . For every \\(i\\) , we draw an arrow in cell \\(c_{i}\\) pointing towards cell \\(c_{i + 1}\\) (or pointing towards \\(c_{0}\\) if \\(i = n^{2} - 1\\) ) and then rotate this arrow \\(i\\) times \\(90^{\\circ}\\) in the clockwise direction. After \\(i\\) moves, the arrow in \\(c_{i}\\) will have rotated \\(i\\) times \\(90^{\\circ}\\) counterclockwise and be in the same direction as on the path defined above. Thus, Turbo will traverse the cycle \\(c_{0}, c_{1}, c_{2}, \\ldots , c_{n^{2} - 1}, c_{0}\\) and \\((1,1)\\) is good. \n\nEvery four moves, all arrows point in the same direction as in the beginning. Moreover, the board will return to its initial configuration after traversing the full cycle, since \\(n^{2}\\) , the length of the cycle, is divisible by 4. Therefore Turbo can also start at any \\(c_{i}\\) with 4 \\(| i\\) and follow the same route. Hence the cells \\(c_{0}, c_{4}, c_{8}, \\ldots , c_{n^{2} - 4}\\) are good and there are \\(\\frac{n^{2}}{4}\\) of such cells.\n\n\n\n## Upper bound for even \\(n\\) \n\nWe will prove that for even \\(n\\) and any start configuration there are at most \\(\\frac{n^{2}}{4}\\) good cells. \n\nLet \\(a_{0}\\) be a good cell. Let \\(a_{0},a_{1},a_{2},\\ldots ,a_{n^{2} - 1},a_{n^{2}} = a_{0}\\) be the sequence of cells that Turbo visits when she starts at \\(a_{0}\\) . Now suppose there is another good cell \\(b_{0}\\) and let \\(b_{0},b_{1},b_{2},\\ldots ,b_{n^{2} - 1},b_{n^{2}} = b_{0}\\) be the sequence of cells that Turbo visits when she starts at \\(b_{0}\\) . \n\nNote that, since \\(4\\mid n^{2}\\) , the arrows are back to their initial configuration after \\(n^{2}\\) steps. Thus, if Turbo keeps walking after returning to her initial cell, she would just traverse the same cycle over and over again. \n\nConsider the upper left corner of the board. With standard row and column numbering, the corner cell is \\((1,1)\\) . This cell has only two neighbours, so both the \\(a\\) - route and the \\(b\\) - route must have cells \\((2,1),(1,1),(1,2)\\) in that order or \\((1,2),(1,1),(2,1)\\) in that order. Without loss of generality, \\(a_{i - 1} =\\) \\((2,1)\\) , \\(a_{i} = (1,1)\\) and \\(a_{i + 1} = (1,2)\\) for some \\(i\\) . Let \\(j\\) be such that \\(b_{j} = (1,1)\\) . If \\(b_{j - 1} = (2,1) = a_{i - 1}\\) then the arrow in cell \\((2,1)\\) must be pointed in the same direction after \\(i - 1\\) steps and after \\(j - 1\\) steps, so \\(i\\equiv j\\) mod 4. But then the arrow in cell \\(b_{j} = (1,1) = a_{i}\\) must also be pointed in the same direction after \\(i\\) and after \\(j\\) steps, so Turbo moves to \\(b_{j + 1} = a_{i + 1}\\) in both cases, and again finds the arrow pointed in the same direction in both cases. Continuing, we find that the \\(b\\) - route is actually identical to \\(a_{4t},a_{4t + 1},\\ldots ,a_{n^{2}} = a_{0},a_{1},\\ldots ,a_{4t - 1},a_{4t}\\) for some \\(t\\) , as any other starting point would have the arrows in the wrong direction initially. \n\nNow suppose instead that \\(b_{j + 1} = (2,1) = a_{i - 1}\\) . Considering the \\(a\\) - route, the arrows in the upper left corner after \\(i - 1\\) steps must be like this: \n\n![](data:image/jpeg;base64,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)\n \n\nConsidering the \\(b\\) - route instead, the arrows after \\(j - 1\\) steps must be like this: \n\n![](data:image/jpeg;base64,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)\n \n\nFrom the arrows in cell \\((1,1)\\) we see that \\(i\\equiv j + 1\\) mod 4. However, for the cells \\((2,1)\\) and \\((1,2)\\) this gives a contradiction. \n\nWe conclude that the only possible good cells are \\(a_{4t}\\) for \\(t = 0,1,\\ldots ,\\frac{n^{2}}{4} - 1\\) , which gives at most \\(\\frac{n^{2}}{4}\\) good cells.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P5.", "solution_match": "\nSolution."}} +{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "Let \\(E\\) , \\(F\\) , \\(G\\) be the midpoints of \\(A I\\) , \\(B Q\\) , \\(C P\\) . As in Solution 1, angle chase shows that \\(\\triangle A Q P\\sim\\) \\(\\triangle I B C\\) . \n\nNote that by the Mean Geometry Theorem we have that \\(\\frac{1}{2} A Q P + \\frac{1}{2} I B C = E F G\\) is similar to \\(\\triangle I B C\\) . Homothety with center \\(A\\) and scale- factor 2 maps \\(E F G\\) to \\(I R S\\) . Hence \\(\\angle R I S = \\angle F E G = \\angle Q A P =\\) \\(\\angle B T C = \\angle R T S\\) , so \\(R,T,I,S\\) are concyclic. \n\nRemark. As shown above, \\(E\\) lies on \\(Q P\\) and \\(A I\\perp P Q\\) . One can prove that \\(\\angle F E G = \\angle B I C\\) in another way. Let \\(J\\) be the midpoint of \\(P Q\\) . Then \\(\\angle B I C = \\angle F J G\\) by midlines and \\(\\angle F J G = \\angle F E G\\) by the lemma below applied in \\(B C P Q\\) . \n\nLemma. Let \\(A B C D\\) is a cyclic quadrilateral and \\(E\\) is the intersection of its diagonals. Then the midpoints of \\(A B\\) , \\(B C\\) , \\(C D\\) and the foot of the perpendicular from \\(E\\) to \\(B C\\) are concyclic.\n\n\n![md5:17c822e365e079d4dd97dbebf5fb270d](17c822e365e079d4dd97dbebf5fb270d.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 4. "}} +{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "Let \\(O\\) be the circumcenter of \\((A B C)\\) . Let \\(M\\) , \\(N\\) , and \\(L\\) be the midpoints of \\(O D\\) , \\(P C\\) , and \\(Q B\\) respectively. \n\nClaim 1. \\(\\triangle O P Q\\) and \\(\\triangle D C B\\) are directly similar. \n\nProof. Clearly \\(D B = D C\\) and \\(O Q = O P\\) . Also note that \\(\\angle Q O P = 2\\angle Q D P = 2\\angle Q D A + 2\\angle P D A =\\) \\(\\angle B D A + \\angle C D A = \\angle B D C\\) . So the two triangles are directly similar by SAS. \n\nClaim 2. \\(M L = M N\\) and \\(\\angle L M N = 180^{\\circ} - \\angle B A C\\) \n\nProof. Note that since \\(\\triangle O Q P\\sim \\triangle D B C\\) by the Mean Geometry Theorem, we have that the average of the two triangles is also similar to them, therefore \\(\\triangle M L N\\sim \\triangle D B C\\Rightarrow M L = M N\\) and \\(\\angle L M N =\\) \\(\\angle B D C = 180^{\\circ} - \\angle B A C\\) \n\nLet \\(K\\) be the reflection of \\(A\\) over \\(M\\) \n\nClaim 3. \\(K\\) is the circumcenter of \\(\\triangle R T S\\) \n\nProof. Note that since \\(A Q R B\\) and \\(A P S C\\) are parallelograms we have that \\(A - L - R\\) are collinear and that \\(A - N - S\\) are collinear. The homothety centered at \\(A\\) with scale- factor 2 maps \\(\\triangle L M N\\) to \\(\\triangle R K S\\) , therefore \\(K R = K S\\) and \\(\\angle R K S = \\angle L M N = \\angle B D C = 2(180^{\\circ} - \\angle R T S)\\) (and \\(K\\) and \\(T\\) are in opposite sides of \\(R S\\) ), implying that \\(K\\) is the circumcenter of \\(\\triangle R T S\\) \n\nClaim 4. \\(K T = K I\\) \n\nProof. Note that \\(A O K D\\) is a parallelogram. Let \\(B T\\) intersect the \\((A B C)\\) again at point \\(G\\) . Since \\(\\angle A B G = \\angle A B T = \\angle Q A B = \\angle Q C A\\Rightarrow A Q = A G\\) and also \\(O Q = O G\\) hence \\(A O\\perp Q G\\) . Then by Reim's theorem we have that \\(Q G\\parallel T I\\) and also that \\(A O\\parallel D K\\) , so \\(D K\\perp T I\\) . Since \\(D I = D T\\) , it means that \\(K D\\) is the perpendicular bisector of \\(T I\\) , therefore \\(K T = K I\\) . \n\nThis means that \\(R T I S\\) is cyclic with center \\(K\\) . \n\nRemark. When \\(K\\) and \\(T\\) are on the same side of \\(R S\\) , it can be shown that \\(\\angle R K S = 2\\angle R T S\\) .\n\n\n![md5:475715ec425df4654345ac12f68d35c0](475715ec425df4654345ac12f68d35c0.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 5. "}} +{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "As shown above, we have that \\(BTIC\\) is cyclic. Let \\(D\\) and \\(E\\) be the second intersections of \\(AC\\) and \\(AB\\) with this circle, respectively. Since the center of this circle lies on \\(AI\\) (by symmetry about \\(AI\\) ), we have that \\(AB = AD\\) and \\(AC = AE\\) , therefore \\(BE = CD\\) . Note that since \\(C - I - Q\\) and \\(A - B - E\\) are collinear, by Reim's theorem we have that \\(AQ \\parallel EI\\) and since \\(AQ \\parallel BT\\) , we have that \\(BT \\parallel EI\\) . Similarly, we get \\(CT \\parallel DI\\) . Let \\(F\\) and \\(G\\) be the intersections of \\(ID\\) and \\(IE\\) with \\(PS\\) and \\(QR\\) , respectively. Clearly, \\(RGEB\\) and \\(FSCD\\) are parallelograms. Since \\(RGEB\\) is parallelogram and \\(BEIT\\) is isosceles trapezoid, we have that \\(RGIT\\) is isosceles trapezoid. Similarly, \\(SFIT\\) is isosceles trapezoid. Hence, both of them are cyclic. Note also that \\(QR = AB = AD = PF\\) and \\(QG = AE = AC = PS\\) . Since \\(QR\\) and \\(PS\\) are tangents to the circumcircle of \\(\\triangle ABC\\) we have that \\(R\\) and \\(F\\) are symmetric (reflections) about the perpendicular bisector of \\(PQ\\) . Similarly, \\(G\\) and \\(S\\) are symmetric about the perpendicular bisector of \\(PQ\\) . This gives us that \\(QP \\parallel RF \\parallel GS\\) and that \\(RFSG\\) is an isosceles trapezoid, hence a cyclic quadrilateral with \\(\\angle RGS = 180^{\\circ} - \\angle GQP = 180^{\\circ} - \\angle QAP = 180^{\\circ} - \\angle RTS \\Rightarrow R, G, S, T\\) are concyclic. Combining all the facts about the cyclic quadrilaterals we proved above, we have that \\(R, G, S, F, I, T\\) are concyclic. Therefore \\(R, T, I, S\\) lie on a circle.\n\n\n![md5:eecb68b2c8a14a8f09cb4dd29102e21f](eecb68b2c8a14a8f09cb4dd29102e21f.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 6. "}} +{"year": "2025", "tier": "T2", "problem_label": "4", "problem_type": null, "exam": "EGMO", "problem": "Let \\(A B C\\) be an acute triangle with incentre \\(I\\) and \\(A B \\neq A C\\) . Let lines \\(B I\\) and \\(C I\\) intersect the circumcircle of \\(A B C\\) at \\(P \\neq B\\) and \\(Q \\neq C\\) , respectively. Consider points \\(R\\) and \\(S\\) such that \\(A Q R B\\) and \\(A C S P\\) are parallelograms (with \\(A Q \\parallel R B\\) , \\(A B \\parallel Q R\\) , \\(A C \\parallel S P\\) , and \\(A P \\parallel C S\\) ). Let \\(T\\) be the point of intersection of lines \\(R B\\) and \\(S C\\) . Prove that points \\(R\\) , \\(S\\) , \\(T\\) , and \\(I\\) are concyclic.", "solution": "Let \\(E\\) be the \\(A\\) - excenter of \\(\\triangle ABC\\) . Let the midpoints of \\(AQ, QB, CP, PA\\) be the points \\(F, G, H, J\\) , respectively. Both \\(PD\\) and \\(EC\\) are perpendicular to \\(CI\\) , hence \\(PD \\parallel CE\\) . \n\nSince \\(PA = PC\\) we have that \\(AJHC\\) is an isosceles trapezoid so it is cyclic. Let \\(K\\) be the second intersection of \\((AJHC)\\) and \\(AI\\) . Then \\(\\angle ADP = \\angle ACP = \\angle ACH = \\angle AKH \\Rightarrow DP \\parallel KH\\) . So \\(KH\\) is a line passing through the midpoint of the side \\(CP\\) of trapezoid \\(DPCE\\) and parallel to the bases, hence \\(K\\) is the midpoint of \\(DE\\) . Similarly, we show that the circle \\((AFGB)\\) passes through the midpoint of \\(DE\\) . Homothety centered at \\(A\\) with scale- factor 2 maps \\((AJH)\\) to \\((APS)\\) , \\((AFG)\\) to \\((AQR)\\) , and line \\(AI\\) to line \\(AI\\) . This means that the circles \\((AQR)\\) and \\((APS)\\) intersect on \\(AI\\) , call it point \\(L\\) . \n\n![md5:9e3f4eae8a85d6f55293984efee47f24](9e3f4eae8a85d6f55293984efee47f24.jpeg)\n\n\n\n\nNow, \\(\\angle I L R = 180^{\\circ} - \\angle A Q R = \\angle Q A B = \\angle Q C B = 180^{\\circ} - \\angle I T B = 180^{\\circ} - \\angle I T R\\) , therefore \\(R,L,I,T\\) are concyclic. Similarly, we get that \\(S,L,T,I\\) are concyclic. Combining these, it means that \\(R\\) and \\(S\\) belong to the circle \\((L I T)\\) . The conclusion follows. \n\n![md5:94d8549749b3f283915bfb6e310b329a](94d8549749b3f283915bfb6e310b329a.jpeg)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P4.", "solution_match": "\nSolution 7. "}} +{"year": "2025", "tier": "T2", "problem_label": "5", "problem_type": null, "exam": "EGMO", "problem": "Let \\(n > 1\\) be an integer. In a configuration of an \\(n \\times n\\) board, each of the \\(n^{2}\\) cells contains an arrow, either pointing up, down, left, or right. Given a starting configuration, Turbo the snail starts in one of the cells of the board and travels from cell to cell. In each move, Turbo moves one square unit in the direction indicated by the arrow in her cell (possibly leaving the board). After each move, the arrows in all of the cells rotate \\(90^{\\circ}\\) counterclockwise. We call a cell good if, starting from that cell, Turbo visits each cell of the board exactly once, without leaving the board, and returns to her initial cell at the end. Determine, in terms of \\(n\\) , the maximum number of good cells over all possible starting configurations.", "solution": "We will show that the maximum number of good cells over all possible starting configurations is \n\n\\[\\frac{n^{2}}{4} \\quad \\text{if} n \\text{ is even and}\\] \\[0 \\quad \\text{if} n \\text{ is odd.}\\] \n\n## Odd \\(n\\) \n\nFirst, we will prove that there are no good cells if \\(n\\) is an odd number. \n\nFor Turbo to reach her goal, she must return to her initial cell after visiting every cell exactly once. Consider the chessboard coloring of the board. Without loss of generality, we assume that Turbo starts in a black cell. Since, at every step, Turbo moves to a cell of a different color; she will be in a white cell after \\(n^{2} \\equiv 1 \\mod 2\\) moves. Thus, it is impossible for Turbo to come back to her initial black cell on her \\(n^{2}\\) - th move, which is a contradiction. Thus there are no good cells. \n\n## Lower bound for even \\(n\\) \n\nWe will now construct a starting configuration with \\(\\frac{n^{2}}{4}\\) good cells for even \\(n\\) . \n\nLet \\((i,j)\\) denote the cell in row \\(i\\) and column \\(j\\) . Consider the following cycle \n\n\\[\\begin{array}{r l} & {(1,1)\\rightarrow (1,2)\\rightarrow (1,3)\\rightarrow \\ldots \\rightarrow (1,n)}\\\\ & {\\qquad \\rightarrow (2,n)\\rightarrow (2,n - 1)\\rightarrow \\ldots \\rightarrow (2,2)}\\\\ & {\\qquad \\ldots}\\\\ & {\\qquad \\rightarrow (2i - 1,2)\\rightarrow (2i - 1,3)\\rightarrow \\ldots \\rightarrow (2i - 1,n)}\\\\ & {\\qquad \\rightarrow (2i,n)\\rightarrow (2i,n - 1)\\rightarrow \\ldots \\rightarrow (2i,2)}\\\\ & {\\qquad \\ldots}\\\\ & {\\qquad \\rightarrow (n,n)\\rightarrow (n,n - 1)\\rightarrow \\ldots \\rightarrow (n,2)}\\\\ & {\\qquad \\rightarrow (n,1)\\rightarrow (n - 1,1)\\rightarrow \\ldots \\rightarrow (2,1)\\rightarrow (1,1).} \\end{array} \\quad (1,1)\\] \n\n![md5:f72c11b17e739eadf5ff82c9c5828a0d](f72c11b17e739eadf5ff82c9c5828a0d.jpeg)\n \n\nNote that the cycle returns to the initial cell after visiting every cell exactly once. To prove that \\((1,1)\\) is good, we need to find a starting configuration such that Turbo traverses this cycle. \n\nLet \\(c_{i}\\) be the \\((i - 1)\\) - th cell on the cycle: so we have \\(c_{0} = (1,1)\\) , \\(c_{2} = (1,2)\\) , ..., \\(c_{n^{2} - 1} = (2,1)\\) . For every \\(i\\) , we draw an arrow in cell \\(c_{i}\\) pointing towards cell \\(c_{i + 1}\\) (or pointing towards \\(c_{0}\\) if \\(i = n^{2} - 1\\) ) and then rotate this arrow \\(i\\) times \\(90^{\\circ}\\) in the clockwise direction. After \\(i\\) moves, the arrow in \\(c_{i}\\) will have rotated \\(i\\) times \\(90^{\\circ}\\) counterclockwise and be in the same direction as on the path defined above. Thus, Turbo will traverse the cycle \\(c_{0}, c_{1}, c_{2}, \\ldots , c_{n^{2} - 1}, c_{0}\\) and \\((1,1)\\) is good. \n\nEvery four moves, all arrows point in the same direction as in the beginning. Moreover, the board will return to its initial configuration after traversing the full cycle, since \\(n^{2}\\) , the length of the cycle, is divisible by 4. Therefore Turbo can also start at any \\(c_{i}\\) with 4 \\(| i\\) and follow the same route. Hence the cells \\(c_{0}, c_{4}, c_{8}, \\ldots , c_{n^{2} - 4}\\) are good and there are \\(\\frac{n^{2}}{4}\\) of such cells.\n\n\n\n## Upper bound for even \\(n\\) \n\nWe will prove that for even \\(n\\) and any start configuration there are at most \\(\\frac{n^{2}}{4}\\) good cells. \n\nLet \\(a_{0}\\) be a good cell. Let \\(a_{0},a_{1},a_{2},\\ldots ,a_{n^{2} - 1},a_{n^{2}} = a_{0}\\) be the sequence of cells that Turbo visits when she starts at \\(a_{0}\\) . Now suppose there is another good cell \\(b_{0}\\) and let \\(b_{0},b_{1},b_{2},\\ldots ,b_{n^{2} - 1},b_{n^{2}} = b_{0}\\) be the sequence of cells that Turbo visits when she starts at \\(b_{0}\\) . \n\nNote that, since \\(4\\mid n^{2}\\) , the arrows are back to their initial configuration after \\(n^{2}\\) steps. Thus, if Turbo keeps walking after returning to her initial cell, she would just traverse the same cycle over and over again. \n\nConsider the upper left corner of the board. With standard row and column numbering, the corner cell is \\((1,1)\\) . This cell has only two neighbours, so both the \\(a\\) - route and the \\(b\\) - route must have cells \\((2,1),(1,1),(1,2)\\) in that order or \\((1,2),(1,1),(2,1)\\) in that order. Without loss of generality, \\(a_{i - 1} =\\) \\((2,1)\\) , \\(a_{i} = (1,1)\\) and \\(a_{i + 1} = (1,2)\\) for some \\(i\\) . Let \\(j\\) be such that \\(b_{j} = (1,1)\\) . If \\(b_{j - 1} = (2,1) = a_{i - 1}\\) then the arrow in cell \\((2,1)\\) must be pointed in the same direction after \\(i - 1\\) steps and after \\(j - 1\\) steps, so \\(i\\equiv j\\) mod 4. But then the arrow in cell \\(b_{j} = (1,1) = a_{i}\\) must also be pointed in the same direction after \\(i\\) and after \\(j\\) steps, so Turbo moves to \\(b_{j + 1} = a_{i + 1}\\) in both cases, and again finds the arrow pointed in the same direction in both cases. Continuing, we find that the \\(b\\) - route is actually identical to \\(a_{4t},a_{4t + 1},\\ldots ,a_{n^{2}} = a_{0},a_{1},\\ldots ,a_{4t - 1},a_{4t}\\) for some \\(t\\) , as any other starting point would have the arrows in the wrong direction initially. \n\nNow suppose instead that \\(b_{j + 1} = (2,1) = a_{i - 1}\\) . Considering the \\(a\\) - route, the arrows in the upper left corner after \\(i - 1\\) steps must be like this: \n\n![md5:c6fb9df05a7b0617c31ee0581f632de0](c6fb9df05a7b0617c31ee0581f632de0.jpeg)\n \n\nConsidering the \\(b\\) - route instead, the arrows after \\(j - 1\\) steps must be like this: \n\n![md5:f60d351055b547df6566fbcbe9ff1e35](f60d351055b547df6566fbcbe9ff1e35.jpeg)\n \n\nFrom the arrows in cell \\((1,1)\\) we see that \\(i\\equiv j + 1\\) mod 4. However, for the cells \\((2,1)\\) and \\((1,2)\\) this gives a contradiction. \n\nWe conclude that the only possible good cells are \\(a_{4t}\\) for \\(t = 0,1,\\ldots ,\\frac{n^{2}}{4} - 1\\) , which gives at most \\(\\frac{n^{2}}{4}\\) good cells.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P5.", "solution_match": "\nSolution."}} {"year": "2025", "tier": "T2", "problem_label": "6", "problem_type": null, "exam": "EGMO", "problem": "In each cell of a \\(2025 \\times 2025\\) board, a nonnegative real number is written in such a way that the sum of the numbers in each row is equal to 1, and the sum of the numbers in each column is equal to 1. Define \\(r_{i}\\) to be the largest value in row \\(i\\) , and let \\(R = r_{1} + r_{2} + \\dots + r_{2025}\\) . Similarly, define \\(c_{i}\\) to be the largest value in column \\(i\\) , and let \\(C = c_{1} + c_{2} + \\dots + c_{2025}\\) .What is the largest possible value of \\(\\frac{R}{C}\\) ? \n\nWhat is the largest possible value of \\(\\frac{R}{C}\\) ?", "solution": "Answer: \\(\\frac{2025}{89}\\) . \n\nIn general, if the table is \\(m^{2} \\times m^{2}\\) , the answer is \\(\\frac{m^{2}}{2m - 1}\\) . \n\nThe example is as follows: label rows and columns from 1 to \\(m^{2}\\) , from top to bottom and left to right. For the first \\(m\\) columns, write \\(\\frac{1}{m}\\) in all squares whose coordinates have the same residue modulo \\(m\\) and place 0 everywhere else. For the remaining \\(m^{2} - m\\) columns, place \\(\\frac{1}{m^{2}}\\) everywhere. Then \\(R = m^{2} \\cdot \\frac{1}{m} = m\\) , and \\(C = m \\cdot \\frac{1}{m} + (m^{2} - m) \\cdot \\frac{1}{m^{2}} = 2 - \\frac{1}{m}\\) . So the ratio is as claimed. \n\n
1/201/41/4
01/21/41/4
1/201/41/4
01/21/41/4
\n\nIn particular, when \\(n := m^{2} = 2025\\) , we get \\(\\frac{2025}{89}\\) . Now we need to show that \\(\\frac{R}{C} \\leq \\frac{n}{2\\sqrt{n} - 1}\\) . \n\nFor each row, select one cell having the largest value appearing in said row and colour it red. Then, without loss of generality, we may rearrange the columns such that the red cells appear in the first \\(k\\) columns from the left, and each column contains at least one red cell, for some \\(k \\leq n\\) . \n\nFor the \\(j^{\\mathrm{th}}\\) column, for all \\(1 \\leq j \\leq k\\) , let \\(p_{j}\\) and \\(n_{j}\\) denote the sum and number of red cells in it, respectively. We observe that \\(c_{j}\\) , the biggest number in the \\(j^{\\mathrm{th}}\\) column, is at least \\(\\frac{p_{j}}{n_{j}}\\) , for all \\(1 \\leq j \\leq k\\) . For all other columns, the largest value they contain is at least \\(\\frac{1}{n}\\) , as their sum is 1. Thus, \\(C \\geq \\frac{p_{1}}{n_{1}} + \\frac{p_{2}}{n_{2}} + \\dots + \\frac{p_{k}}{n_{k}} + \\frac{n - k}{n}\\) . \n\nWe can also observe that \\(R = p_{1} + p_{2} + \\dots + p_{k}\\) . \n\nTherefore we have to show that: \n\n\\[p_{1} + p_{2} + \\dots +p_{k} \\leq \\frac{n}{2\\sqrt{n} - 1} \\cdot \\left(\\frac{p_{1}}{n_{1}} + \\frac{p_{2}}{n_{2}} + \\dots + \\frac{p_{k}}{n_{k}} + \\frac{n - k}{n}\\right). \\quad (*)\\] \n\nBy construction, \\(n_{1} + n_{2} + \\dots + n_{k} = n\\) , and, as the numbers in every column are nonnegative, we see that \\(p_{j} \\leq 1\\) for every \\(j\\) . Also, since each number in a red cell is at least \\(\\frac{1}{n}\\) , we also have \\(p_{j} \\geq \\frac{n_{j}}{n}\\) . \n\nSince our inequality is linear in each \\(p_{j}\\) , it suffices to prove it when each variable equals one of its two critical values. By relabeling, we may assume that \\(p_{j} = \\frac{n_{j}}{n}\\) for \\(1 \\leq j \\leq t\\) , and \\(p_{j} = 1\\) for \\(t + 1 \\leq j \\leq k\\) , for an integer \\(0 \\leq t \\leq k\\) . \n\nFirst, if \\(t = k\\) , we observe that \\(p_{1} + p_{2} + \\dots +p_{k} = \\frac{n_{1}}{n} + \\frac{n_{2}}{n} + \\dots + \\frac{n_{k}}{n} = 1\\) , and that \\(\\frac{p_{1}}{n_{1}} + \\frac{p_{2}}{n_{2}} + \\dots + \\frac{p_{k}}{n_{k}} = \\frac{k}{n}\\) , so the inequality becomes \\(1 \\leq \\frac{n}{2\\sqrt{n} - 1}\\) , which is true. \n\nFrom now on we may assume that \\(t < k\\) . We need to show that: \n\n\\[\\frac{n_{1} + \\dots + n_{t}}{n} +k - t \\leq \\frac{n}{2\\sqrt{n} - 1} \\cdot \\left(\\frac{t}{n} + \\frac{1}{n_{t + 1}} + \\dots + \\frac{1}{n_{k}} + \\frac{n - k}{n}\\right).\\] \n\nBy Cauchy- Schwarz inequality we have that: \n\n\\[\\frac{1}{n_{t + 1}} + \\dots + \\frac{1}{n_{k}} \\geq \\frac{(k - t)^{2}}{n_{t + 1} + \\dots + n_{k}} = \\frac{(k - t)^{2}}{n - (n_{1} + \\dots + n_{t})}. \\quad (CS)\\]\n\n\n\nLet \\(n_{1} + \\dots +n_{t} = n\\cdot q\\) , where \\(0\\leq q< 1\\) . Thus, it is now enough to show that: \n\n\\[q + k - t\\leq \\frac{n}{2\\sqrt{n - 1}}\\left(\\frac{t}{n} +\\frac{(k - t)^{2}}{n - nq} +\\frac{n - k}{n}\\right).\\] \n\nLet \\(k - t = \\ell \\geq 1\\) . The inequality becomes: \n\n\\[q + \\ell \\leq \\frac{1}{2\\sqrt{n} - 1}\\cdot \\left(n - \\ell +\\frac{\\ell^{2}}{1 - q}\\right).\\] \n\nRearranging this we get: \n\n\\[n + q + \\frac{\\ell^{2}}{1 - q}\\geq 2(q + \\ell)\\sqrt{n}.\\] \n\nIf \\(q = 0\\) the inequality is trivially true by \\(A M - G M\\) . Suppose now that \\(0< q< 1\\) . Then, by Cauchy- Schwarz, we have: \n\n\\[q + \\frac{\\ell^{2}}{1 - q} = \\frac{q^{2}}{q} +\\frac{\\ell^{2}}{1 - q}\\geq (q + \\ell)^{2}.\\] \n\nIt is therefore enough to show that \\(n + (q + \\ell)^{2}\\geq 2(q + \\ell)\\sqrt{n}\\) , which is true by \\(A M - G M\\) , completing the proof. \n\nRemark. Another way to show \\(n + q + \\frac{\\ell^{2}}{1 - q}\\geq 2(q + \\ell)\\sqrt{n}\\) is to split it into two \\(A M - G M\\) 's, as: \n\n\\[\\left(n(1 - q) + \\frac{\\ell^{2}}{1 - q}\\right) + (nq + q)\\geq 2\\ell \\sqrt{n} +2q\\sqrt{n}.\\]", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P6.", "solution_match": "\nSolution 1. "}} {"year": "2025", "tier": "T2", "problem_label": "6", "problem_type": null, "exam": "EGMO", "problem": "In each cell of a \\(2025 \\times 2025\\) board, a nonnegative real number is written in such a way that the sum of the numbers in each row is equal to 1, and the sum of the numbers in each column is equal to 1. Define \\(r_{i}\\) to be the largest value in row \\(i\\) , and let \\(R = r_{1} + r_{2} + \\dots + r_{2025}\\) . Similarly, define \\(c_{i}\\) to be the largest value in column \\(i\\) , and let \\(C = c_{1} + c_{2} + \\dots + c_{2025}\\) .What is the largest possible value of \\(\\frac{R}{C}\\) ? \n\nWhat is the largest possible value of \\(\\frac{R}{C}\\) ?", "solution": "We prove the main inequality \\((\\ast)\\) in a slightly different manner. Instead of the strong lower bound \\(p_{j}\\geq \\frac{n_{j}}{n}\\) , we use the weaker, simpler and more immediate lower bound \\(p_{j}\\geq 0\\) (thus proving the inequality in a larger regime). \n\nAs in Solution 1, suppose \\(p_{j} = 0\\) for \\(1\\leq j\\leq t\\) and \\(p_{j} = 1\\) for \\(t + 1\\leq j\\leq k\\) , with \\(\\ell = k - t\\) . We also denote by \\(m = n_{t + 1} + \\dots +n_{k}\\) and note that \\(m\\leq n - t\\) , since \\(n_{j}\\geq 1\\) for each \\(i\\leq t\\) . We need to prove that: \n\n\\[\\ell \\leq \\frac{n}{2\\sqrt{n} - 1}\\cdot \\left(\\frac{1}{n_{t + 1}} +\\dots +\\frac{1}{n_{k}} +\\frac{n - k}{n}\\right).\\] \n\nRearranging and using the same Cauchy- Schwarz (CS) as in Solution 1, we see it suffices to show that: \n\n\\[(2\\sqrt{n} -1)\\ell \\leq n - k + \\frac{n\\ell^{2}}{m},\\] \n\nor equivalently, that: \n\n\\[2\\sqrt{n}\\ell \\leq n - t + \\frac{n\\ell^{2}}{m}.\\] \n\nBut since \\(n - t\\geq m\\) this immediately follows from \\(2\\sqrt{n}\\ell \\leq m + \\frac{n\\ell^{2}}{m}\\) , which is a simple application of \\(A M - G M\\) . \n\n(Note that in Solution 1 the case \\(t = k\\) , which is equivalent to \\(m = \\ell = 0\\) , was dealt with separately, to avoid the appearance of \\(\\frac{0}{0}\\) terms such as \\(\\frac{n\\ell^{2}}{m}\\) . It is easy to verify that the corresponding term should in fact be 0 and the final \\(A M - G M\\) replaced with \\(0\\leq 0\\) , and all transitions are valid. Alternatively, the case can be argued directly by simply noting that \\((\\ast)\\) evaluates to \\(0\\leq \\frac{n - k}{2\\sqrt{n} - 1}\\) , which is obvious.)", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P6.", "solution_match": "\nSolution 1'."}} {"year": "2025", "tier": "T2", "problem_label": "6", "problem_type": null, "exam": "EGMO", "problem": "In each cell of a \\(2025 \\times 2025\\) board, a nonnegative real number is written in such a way that the sum of the numbers in each row is equal to 1, and the sum of the numbers in each column is equal to 1. Define \\(r_{i}\\) to be the largest value in row \\(i\\) , and let \\(R = r_{1} + r_{2} + \\dots + r_{2025}\\) . Similarly, define \\(c_{i}\\) to be the largest value in column \\(i\\) , and let \\(C = c_{1} + c_{2} + \\dots + c_{2025}\\) .What is the largest possible value of \\(\\frac{R}{C}\\) ? \n\nWhat is the largest possible value of \\(\\frac{R}{C}\\) ?", "solution": "1\". This is an alternative way of getting the upper bound on \\(\\frac{R}{C}\\) from \n\n\\[\\frac{R}{C}\\leq \\frac{p_{1} + p_{2} + \\ldots + p_{k}}{\\frac{p_{1}}{n_{1}} + \\frac{p_{2}}{n_{2}} + \\ldots + \\frac{p_{k}}{n_{k}} + \\frac{n - k}{n}}.\\] \n\nUsing the fact that \\(\\sum_{j = 1}^{k}n_{j} = n\\) , we can rewrite the above right hand side as follows:\n\n\n\n\\[\\frac{\\sum_{j = 1}^{k}p_{j}}{\\sum_{j = 1}^{k}\\left(\\frac{p_{j}}{n_{j}} +\\frac{n_{j} - 1}{n}\\right)}.\\] \n\nWe notice that this is a quotient of affine functions in the \\(p_{j}\\) 's, for which the denominator does not vanish over the set defined by \\(0 \\leq p_{j} \\leq 1\\) . Therefore the maximum of this function is attained when a certain number of \\(p_{j}\\) 's are 1 and the others are 0. Without loss of generality we may assume that the first \\(t\\) are equal to 1 and the other \\(k - t\\) are 0 for some \\(0 \\leq t \\leq k\\) . Then one has that the previous expression is at most \n\n\\[\\frac{t}{\\sum_{1 \\leq j \\leq t} \\left(\\frac{1}{n_{j}} + \\frac{n_{j} - 1}{n}\\right) + \\sum_{t < j \\leq k} \\frac{n_{j} - 1}{n}}.\\] \n\nWe now lower bound the denominator by observing that the second sum is non negative, while each term of the first sum can be bounded by \\(AM - GM\\) as follows: \n\n\\[\\frac{1}{n_{j}} + \\frac{n_{j} - 1}{n} \\geq \\frac{2}{\\sqrt{n}} - \\frac{1}{n}.\\] \n\nWe therefore have \n\n\\[\\frac{R}{C} \\leq \\max_{1 \\leq t \\leq k} \\frac{t}{\\sum_{1 \\leq j \\leq t} \\left(\\frac{2}{\\sqrt{n}} - \\frac{1}{n}\\right)} = \\frac{n}{2\\sqrt{n} - 1},\\] \n\nwhich finishes the proof.", "metadata": {"resource_path": "EGMO/segmented/en-2025-solutions.jsonl", "problem_match": "P6.", "solution_match": "\nSolution "}} diff --git a/HarvardMIT/md/en-282-2025-feb-comb-solutions.md b/HarvardMIT/md/en-282-2025-feb-comb-solutions.md index 6a0ce7b178c03ad21eea2bb9772c1ccc93c6a3c7..5cf2d2cf47d944fe7c71728ee80308334162294b 100644 --- a/HarvardMIT/md/en-282-2025-feb-comb-solutions.md +++ b/HarvardMIT/md/en-282-2025-feb-comb-solutions.md @@ -45,7 +45,7 @@ Answer: 2304 Solution: Let a lateral move refer to one which is either up or right. Then the lateral moves are the only ones which increase Kelvin's sum of coordinates by 1, while all other moves do not change the sum, so Kelvin must make 6 of them, one to increase this sum from \(i\) to \(i + 1\) for each \(i \in [0, 5]\) . -![](data:image/jpeg;base64,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) +![md5:5de42bbe7b204ff4624cd4bc2816e63f](5de42bbe7b204ff4624cd4bc2816e63f.jpeg) We claim there exists a unique path corresponding to each set of 6 lateral moves chosen in this way. Indeed, the diagonal moves allow Kelvin to get from any point on \(x + y = i\) to any second point on \(x + y = i\) in exactly one way. @@ -60,7 +60,7 @@ Answer: 200 Solution: -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAE9AT4DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3PUtVsdHtluNQuFgiaRY1ZsnLN0AA5JrOPjLQAWBv/ujJ/cvwP++aPE+7bpO0A/8AExizk44w1aFAGePGWgFlH2/lhkfuX5H/AHz70n/CZ+H9u7+0ON23/Uydc4/u+taNFAGcPGfh9jKF1EExffxE/wAvGefl9Kf/AMJfoW5V+3csCw/cv04/2fcVqWpkKyb1UAN8hDZyMDrxwc59anoAwv8AhMdB2hvt/BbZ/qZOucf3fWkk8Z+H4ldpNRCqmNxMT8Z6fw1vVFcmQQHy1VmyOGbAxkZ7Htn/AOtQBj/8JjoG5V+38sCR+6foMf7PuKT/AITPw/tDf2hwW2j9zJ1zj+7WjRQBnHxn4fUOTqH3Blv3MnHGf7tKvjLw+0piXUVLgZKiJ8gfl71oVLbGTdIGVQgI2kNkn1yMcfrQBlf8JjoJUN9v4LbR+5k6/wDfNDeMdBVZGN/gRjLfuZOOM/3a3aKAMKTxjoEWfM1AIApYlonAAHU5x70g8Z+HyFP9ocMdo/cydf8Avmtq4MgtpTEqtJtO1XbaCccZODgfgarUAZx8Z+H1EhOocR/e/cyccZ/u07/hMdB3hPt/zEZx5T9P++fer9FAGavjXw87BV1FSx7eU+e/bb7H8qcfGOgqsjG/4j+9+5k44z/d9K1Lcyec4Kr5e0YbdznnIxjp07+tWaAMT/hLtC3hPt3zEZx5T9P++ab/AMJloARXOoAK3QmJ/wD4n2rdpr7vLbaAWwcAnAzQBhf8Jr4eKO41EFU6kROe2f7voRT/APhMdB37Pt/zYzjyn6f981eTcUXeAGxyAcgH60tAGcPGfh8hCNQ4c4X9zJz3/u+1IfGvh4MynUV3KCSPKfOBjJxt9x+daVOhMn2gAKvl7DuYtyDkYAGOnXv2HXPABn/8JdoW/Z9u+bGceU/T/vmkHjHQSEIv+H4X9y/PGf7vtW5RQBhHxjoIDk3/AAhw37mTjv8A3fekTxn4fkxs1FWyu4EROQR65xW9VCMyGNTKqrJj5grZAPscDP5UAUB4z8PlYyNQ4k+7+5k54z/d9BQfGfh8BidQ4Q4b9zJx/wCO+9aNFAGf/wAJn4f84Rf2ivmEZC+U+T+lKPGOgssbC/4k+7+5fnjP930rRjMnnoFVShzuJbBHHGBjn9Kt0AYR8Y6CFZjf8KcH9zJwf++fenf8JdoW8p9u+YDOPKfp/wB8+1bdFAGAnjbw7IiMmpKyuSFIifkjr/D7GlPjPw+Ax/tDhTtP7mTr/wB81oZkJfzFVW3tgK2RjJx2HOMf/X60tAGf/wAJjoJcp9v+YAEjyn6H/gPtUFz4/wDC1nbpPc6vHDE+AryRuAcjP92teuH+KZkHhi28tVY/bF+82P4H9jQB03igArpGVY/8TKLGO3Dc1pVm+KCAukZk2Z1KIDp83Dcc1pUAFFFFAElmFHn7UdSZOS3RjtHI9u31BqzVazZW88LP5hWTBXI/dnaPl4/Pnn5vTFWaAOfs/EGo6hY297beHrlre4jWWJjcRAlWGQcbuODRd6nqrW5D+G7ojcp+W6izncMdG9aseEv+RM0L/sH2/wD6LWtC9ZVtiWn8kbkG/IGSWGF59enrzxzQBhf2pq3/AEL0/wD4Exf/ABVLbazcPqcNjeaXNaPNG7xs0qODt25Hyk4+8K16xr7/AJGzR/8Arhc/+06ANmnWgUTTkI4YlcsejcdqbTrRlM06ifewK5jyP3fHtzz70AW6wYNfvryNprPQriaDzHRZDPEu7axUnBbI5BrerF8Kf8i/H/18XH/o56AIrvU9VezmWTw1dMhQhgt1FkjHbDZqH+1NW/6F6f8A8CYv/iq3rxlSxnZ5/s6iNiZsgeWMfe544688VDQBjJrd0l/Z215pE9qLuUxRyGaNxuCM+CFOeiNWzWNrX/IW8Of9hF//AEluK2aAFtgv2uU7HDeWuX/hIyeB7/4irlU7Zl+1yr5+WEakw5HyjJ+b156eny/WrlAGGuvXlxNcrZaJcXEUEzQmXz40DMpwcAtnGaJdU1YxOG8N3JBU5Auos/8AoVO8N/6jUv8AsJXH/oZrXlIELkvsAU5fj5ffnigDmo9T1URIF8O3IUKMA3UWQP8Avqh9dvLeSD7ZotxBFLMkPmedG21nYKMgNnGSK2IiGhQrJ5gKgh+Pm9+OOfasnxJ/x52X/YRtf/Ry0AbNEQX7chKOW8t8OPugZXIPueMfQ0URMovkUz7WMbkQ5HzgFct68ZA44+bntQBdrFk1y6e/vbWy0ee6FpKsMkgmjQbzGkmAGOejrW1WLof/ACF/Ev8A2Ek/9JLegA/tXV/+hcuP/AqH/wCKqhBqWqLAip4cuVUKAA11FkD3y2a6ms63ZXt42Sfz1KgiXIO/344/KgDGn12+tIxNdaHcRQB1V3E8TbdzBc4DZPWt2sjxP/yAJ/8ArpF/6MWtegBFCm7hJRyRnDDovHer1UUZRdwgz7Cc4jyP3nHvzx14q9QBkXes3EWqS2Fnpc148USSyMsqIFDlgB8xGfuGmf2rq/8A0Llx/wCBUP8A8VTrP/kb9W/69LX/ANCmrYoA5dNS1Rd4Tw5cqPMc4a6izksc9W6ZqO81/ULCynvLnQLhYLeNpZGFxESFUZJxu54FbkbKwcrP5w8xxuyDghiCvHp931455rL8V/8AIna3/wBg+f8A9FtQBr1wnxXCnwta7kdx9tThOv3Hru64X4rsq+FrYtP5I+2p82QM/I/HNAHVeJlkddIWIqD/AGlDkt/d+bP44rTNtLmTEyAFfkyn3T6nnntxxWd4jALaPlC3/Eyi6duG5rboAqi2l3oTMu0KQ42cseMEHPA68c9fblPss/l489N+/OfLONu7pjPXbxn15x2q3RQBQDXcb3Kb4Quf3J2kkcdW5Geew7DrzxJ50+9CWTYFIYbDktxgg54HXjnqOeOWYAuJ8RspLjJb+I7RyOenb8DS0AY/hOS5HgrQh5kW4WcBJ8s42bBxjPXGBn15x2rWme7dJFiaHcxAj3qcL6k88+uOPTPesrwp/wAidon/AGD4P/Ra1qSAELujaQb0+Vev3hz16Dr+FAE/2aTzEPmrsCkMuzktxgg54HXjB6jnjnDvrab/AISrRQZk3eVdEnyzjbmPjGeuOM+vOO1dLWLf/wDI3aN/173X/tOgC+1rMRNtnQEj91mMnacd+fm5+n9aaDcw3RGYvIC8DBLMeOfYDnjnOR0xzdqi4UXcxEbKSFy56Nx25oAUS3OxQZItwfLHyzgrnoBng4xz+lYvhiS5/wCEdYJJEGM1x5RMZIQ+a/UZ+bnnt6e9bVY3hb/kAp/13uP/AEc9AGxPNckMYfKPyMAjgjLcY+bsOueD19uXi1m2oDOhYNlj5ZwV54HPB6c8/SoLkKbaUNG0ilDlE6tx0HI5/GtKgDmtdtp/7U0ELOgZtRfyiYydn+hz9efm557cce9bhtn80ESL5e05XbyTxg5z9eMVna5/yF/DX/YSf/0kuK2qAM8C8gkVTJCV4LNsOW5PAGeP4ecnvxT2luSkwWSIO2fKJjJCcDqM/Nzk9uOPeiYL9tY+Wwby1zJ/CRk8deo+ncUUAZHhyWYDUCGTy/t9zldvOd/XOenXjFaxluvKUB4S4J3fIQGGDwOeOcc89OlY/hz/AFOo/wDYRuP/AEM1ryYMbZUsMH5R1NADltrloJMzRLKwymIyQnyjryN3OT24IHvWV4mt3FvYnzF8v+0LUbdvOfOTnOf0xW9AALeMBSg2jCt1HHQ1k+Jv+PKx/wCwlaf+jkoAvrazhYg08ZYH94RGQGGD0+bjnHr09+I5Eu4ZH8uSHa4bYzIcocLgEZ+bncc5HYY71fqpdBftUJ8ti2x8OOijK8HnqeO3Y/iAHnTebncnl7cbdpzn1zn9MViaHJcjVNe3SRFhqSGUiMgN/okHTnjnB79Md8jZrG0X/kLeI/8AsIp/6S29AGy0tyVlCyRBif3ZMZO0YHXnnnPp19uVhgnYI8rxrlBuRQThu+G4yPwpKntABZwhY2jUIMI3VfY9aAMLxNbTr4dO6eMsskXmkRkB/nXoM/Lzg9+BjvkbBtZtsgE6BifkJjJ2jjg889/TrVLxT/yL0/8A10i/9GLWxQBTdLiG5R0aNoSMMpBDA88g9+3HFIstyEhDSRFl/wBaRGQH4PQZ+XnB78ce9PuwDJCTGzEE4YdF4780ygDHtZLn/hKtY2yRBjbWuwmMkKN03BGeT154rbE03mkkp5e0YXbyDzk5z9OMVi2n/I2ap/16Wv8A6FNWvQA23gu5IYWnlhEgJ83Yhw45AIyfl7HHOORz1rM8WW0w8Ga8fOTP2Kcr+76L5Z468nrz+lbVmALb5Y2jG9+G6k7jz16HqPY1n+Lf+RM13/sH3H/otqAL4tn81iZV8vaAF2cg85Oc/TjHY+vHB/FW3u08I2WyWFphdoHZkKqx8t8kDJxz2yfrXotcD8XAp8KWu6NpB9uThev3JPegDo/EZAbR8ybM6lEByPm4bjmtusPxI/l/2QxZFH9pQglzjruH55xWubmBTIDNGDGNzguPlHqfQcH8qAMXUbYX/ie2tJp7tIBZSS7Le6khy29Bk7GGeCetWP8AhGrD/nvqv/g2uv8A45UTTRN4ztcSod+nSlcMOR5kfIrW+122zf8AaItm/wAvdvGN27bt+ueMevFAGB/wj2nm4nC32qSFXAZf7WuD5Z2j5eH+h55+b0xTv+Ecsf8Anvqn/g1uf/jlab3CCa53ywgRYJw/3V2g5b07/gKPNjLqnmLvdSyrnlgMZI9uR+YoA5fwx4fs5fCejSNNqQZrGBiF1O4Ucxr0AkwB7CtKXw9p6qpe+1SEb0G/+1rgclhheX79PXnjmmeFLiA+DNDfzo9ps4Iw24Y3bAu365GMeta73CJvKywgxFTJvfARepJ9OMnmgCL/AIRqw/576r/4Nrr/AOOVj3vh6yXxVpEYn1PDQXJJOp3JPHl9D5mR17V1f2iHzFj86Pe6llXcMsBjJA9OR+YrDvrq3PivRXE8WwxXSBt4wWzGMfXPGPWgCz/wjVh/z31X/wAG11/8cqi3h7T/ALXMov8AVHYbcx/2tcHy+P8Afzz15rfa7t0Epa4iAhGZCXHyDGefTjmq8kubsxs8XzLujUN8zAY3HHoCR+YoAyv+Ecsf+e+qf+DW5/8AjlZHhrQLOTQ0ZptSB8+cfLqVwo4lcdA9dSLiAoriaMqzbFO4YLZxge+QePasbwxcQp4eZnmjVYZrgyksAEHmufm9OOeaAHXPh7T0tZWe+1S3UISZv7VuB5Yx975nI4688Vo/8I1Yf899V/8ABtdf/HKllk25jjaP7QUZo0dsZxjn1xkjJ96uC6tyqsLiIq7bFO8YZvQe/B/KgDltZ8PWSar4eUT6nh9QdTnU7knH2Wc8EycHjqPcdCa2P+EasP8Anvqv/g2uv/jlVtdu7ZdV0BmuIgsOouZSXGI/9DuD83pwQee1bhniEgjMqeYQWC7hkgYycenI/OgDn5fDun/bWUX+qFhGpMP9rXHyjJ+b7+eeR1x8vHel/wCEcsf+e+qf+DW5/wDjlakt1G8yMJoDC4CxsHyWfJyPTt/OmtcQokztNGqw/wCtYsAI+M/N6cEHnsaAOW0DQLOSG/Jm1IYv51G3UrgcBz6PyfetWTw7YCJybrVEABy/9q3Py+/MmKZ4dkTbqEW9fMN/cMEzzjf1x6citY3ETRq0csR8wlYzuGGbB4Hr0P5GgCtB4b09reMrearKCoIk/ta5+bjrxJjn2rL8R+HrKOzsys+pnOoWq/Nqdy3BmUd5Ovv2rp1u4FgdpbiBTCAJjvGIztBOT24IPPYisnxNNF9msYvNTzP7QtG27hnHnJzj0oAn/wCEasP+e+q/+Da6/wDjlVLnw7p4uoV+36oHKORD/a1x84BXLcvnjIHHHzc9sbi3dsyxMtxEVlOIyHGHOCcD14BP4Gq91dRhy3nQCGEMJmL8xthSAew4Oefb1oAyv+Ecsf8Anvqn/g1uf/jlZGj6BZvqniBTNqWEv0UY1K4Bx9mgPOH5PPU+w6AV1fmJ5vlb18zbu2Z5x649KxNDuIW1TXmWaMrLqKCMhhhz9kgPHrwCfwNAE/8Awjlj/wA99U/8Gtz/APHKltPDmnvZwsl9qs6lARL/AGtcHfx1+WQD8qutcQKsrNNGFiOJCWGEOAcH04IP4irUEy7EjlkiFxsDMitnHv64zQBzHiXw9ZR6DM6z6mSHi+9qlyw/1i9jJitf/hGrD/nvqv8A4Nrr/wCOVB4nu7Z/DhZbiJlmkhERDgh/nU/L68AnjsDWwbq3VZGNxEFjO1yXGFPHB9Oo/OgDEuvDunrJCDfaojEnEf8Aa1x+8495M8deKb/wjlj/AM99U/8ABrc//HK2LiYNMkSPEWA3Ou75gvOCB9RUK3ELJE6zRlZv9UQww/Gfl9eATx2FAHMWvh+zPijU087UsLa2xBGp3GeWl6nzMnp/nNav/COWP/PfVP8Awa3P/wAcqG1uIV8VauxmjCpbWquSwwp3S8H0PI/OtoSIZDGHXzAAxXPIBzg49OD+VAGfZ+HNPe3yt9qsw3uN39rXHBDEFeJMfKfl9eOec1LL4V0yeF4Zn1KWKRSrxvqlyysp4IIMmCD6VftLuJraFmngPnE+UUkBEi8lcevyjPHvUpurcKzG4iCo2xjvGFb0PvyPzoAmrgfi4yr4UtS9x5A+3J82VGfkk45Fd0J4TK0QlQyKoYpuGQDnBx6HB/I1wXxWu4m8I2UsM8DJJeIyMZBtZTG/II69qAOi8UgFdIyhb/iZQkY7cNzWlis3xQQF0jMmzOpRAdPm4bjmtKgDIf8A5HGD/sHyf+jErXwPSsPUXuLPxDb3qWFzdQ/ZJIibcKSrF1IyCR2BqT+3pf8AoB6t/wB+k/8Ai6ANuzVR55ERQtJlicfP8o5HPTt+FWsD0rnbTxBIfOA0jV5CJMFfLi/dnaPl4b8ecnn0xVj+35f+gDq//fqP/wCLoAXwkB/whmhcf8w+3/8ARa1o3qq1sQ0RlG5PlXH94c9e3X8K5fwtrksfhHRUGiaq4WwgG5Y0w37teR8/Sr954hkFsS2kavCNyjf5cX94ccsevT8eOaANTFY18B/wlej8f8sLn/2nS/29L/0A9W/79J/8XWRe63KfE+kv/Y2pjbDcDaY0yc+X0+egDr8D06060VRNOwhZWO3LnGG47c9qxf7el/6Aerf9+k/+LpbXxA/nTqNJ1dyNuY/Li+Tj/ezz70AdHgegrF8KAf8ACPpx1uLj/wBHPS/2/L/0AdX/AO/Uf/xdZHhjXJY9CRRomqP+/nOVjTHMzn+/QB1V4qtZTh4WlUxsDGuMsMdBkjr9ahwPSsy88QyLZTs2kavAojYmYRxfIMfe5Yjj3GKi/t6X/oB6t/36T/4ugBNaA/tXw7x11F//AEluK2a5DWNblbU9AP8AY2prsv2ODGmW/wBGnGB8/XnP0BrX/t6X/oB6t/36T/4ugDZtlT7XIfJIbYv7zjBGW469Rz271bwOeOtc3b+IH+1yL/ZOrs2xSYfLi+UZPzfezz064+X61b/t+X/oA6v/AN+o/wD4ugBPDY/c6l/2Ebj/ANDNbEqqYXBTcNp+Ud+Olcj4e1yVIdQxomqNnULg/LGnGXPB+frWrL4glELk6Jq6Dacv5Ufy+/L0AXIlUQoAhQbR8h6jjoayfEn/AB52X/YRtf8A0ctNi1+QwoRo2rSAqMP5cfze/DYrL8Q63K9pZg6Nqa4v7Y5aNOcSrx9/rQB1+B6URKhvUJhJby3HmcYUZXIPPU4Hb+E/jj/29L/0A9W/79J/8XSReIHF6i/2Tq4YxsRCI4vmGVy33s8cDg4+bntgA6bArE0MD+1/EnHTUk/9JLel/t+X/oA6v/36j/8Ai6yNG1yVNV8Qt/YmqNv1BDhY0yv+iwDB+frxn6EUAdhgegrOt1VbeMLE0QCgBGxlR6HBNV/7fl/6AOr/APfqP/4us+3192t42XSdWnUqCJTHF8/vwwH5UAS+JwP7Am46SRf+jFrYwPSuS8R63LJocynRdUT54uWjTH+sX/brV/t6X/oB6t/36T/4ugDXVVN3CTEzMM4cYwnHfmruBxx0rml8QOt1CDpGrqTnEYji+fj3bPHXirn9vy/9AHV/+/Uf/wAXQAtoB/wl2rcf8ulr/wChTVs4rj7XXJR4q1N/7E1UlrW2G0RpkYabk/P7/oa1v7fl/wCgDq//AH6j/wDi6ALUaqocLEYh5jna2Ou45PXv1/HtT8D0rEj8QOwcrpOrSjzHG4xxcHccrw3bp68c5NNuPEwtLaW5uNH1SKCFDJI5iTCqBknh+woA3a4T4rqp8LWoaEyAXqfKuOPkf3ru64X4rsq+FrYtMYR9tT5hj+4/HINAHVeJ923SduP+QjFnPphq0KzfFKM66OFQMf7Th69vvZP5ZrUNvPmTDR42/u856+/t0oAbRThbz748tHt2nf1zu4xj26/pSfZ7jy/vRb9/vjZu/nt/WgCW18zbJv243fJj0wOvvnNT1nRtNBJeKkKLlgUZv422jk4PToOx4NTi4m3plU2bTu653cYx7df0oAo+Ev8AkTNC/wCwfb/+i1rTufM8g+Xt3ZH3umMjP6ZrA8Jz3I8FaEMRbhZwZ642bB+uMfjWndPNLDInkpJlk8tfQ5HJyRwDg8dh3NAElY19/wAjZo//AFwuf/adbn2ebzE+ZNm07uud3GMe3X9Kw76C4/4SrRQTFv8ALus9cbcx/rj9aANmpbbzN0m7bsyNuOvvmo2t7jE21os4/dZz1x/F+PpUce+C9k2wgKVG+Q/xnjGOeg5zn2oA0KxfCn/Ivx/9fFx/6OerwuLnYuVi3b/m64257e+MVi+F57geHWCCLd51x5Wc4z5r/e/H07UAdFceZ9ml8rb5m07d/TOOM+1VqZdyvJDIjQCaFomDxj7znsBkgcjPU+lSC3uNiZaLdu+bGcbeenv0oAxda/5C3hz/ALCL/wDpLcVs1ja7BcDVNC2mLcdRfys5x/x5z/e/HPTtW4beXzRhk8vac9c54x+HWgBbfzPOfO3y9ox655z+HT9as1moJ4LnJhj8xlXzJf4SuWwo5zkdeRjmpmuLjZNtWLfz5Wc46D73456dqAKPhv8A1Gpf9hK4/wDQzWw+7y2243YOM9M1z3hyeUDUMBPL+33Oeuc7/wCXWtV5p2gAeONyciRVzyMHgZ79OtAAm7Yu/G7HOOmax/En/HnZf9hG1/8ARy1rR29wLVvLWOM7R5KNn5RtHDY989O1ZniaCUW9jynl/b7X1znzk/SgDWp0PmfaBjb5ew7s9c5GMe3X9KRbe52xbmi3Z/eYzjGD0/HH61DIk8NyXWJGk2OIZT91R8nDc5yTzwOi9u4BpVi6H/yF/Ev/AGEk/wDSS3rQ+0S+b91PL2++c/4Vh6FPcDVNe3CLcdSTzcZxj7JB938cdfegDpqoR+Z5a+bt8zHzbemfantcXO2XasW7P7vOcYwOv45/SmWtu4ii2xiGHyxiNvvKfQ4JH60AZXif/kAT/wDXSL/0Yta9ZHiaC5Hh0ljFu8yLzcZx99fu/jjr2zWwbe42ybWi3Z/d5zjHHX36/pQAsfmeem3bs53Z69OMVbqhJG8V5E5iDoAdrjqjYOc89COOKetxcbIdyxbv+WuM46H7v4469qAKdn/yN+rf9elr/wChTVsVzdrPcf8ACVawVEW77Na7M5xjdN19+tbQuJfNOVTy9ox1znnP4dKAI/n3P5m3dvbG3pjJx+OMVk+K/wDkTtb/AOwfP/6LatK0hnaCJjHHES7mZffJyV5PBbnnsecHis7xZBOPBmvHMeRZT7ev3fLPX360Aa1cP8U/M/4Ri28vbn7Yv3v9x67sW8vmtlk8vaMdc55z+HT9a4D4sQT/APCIWO+OOWT7Ym9V6Z8t8kZI4oA67xGQG0fMhTOpRDjHzcNxzW3WL4h3btI24/5CMWc+mGraoAKKwtSS5vPEVvYx6jdWkP2SSZvs+wFmDoBksp7E0/8AsG4/6GHV/wDvqL/43QBb3Kbi4AmMhDgFTj92do+Xgfjznr9KdWO2hXfnSb9f1TG75MNFnGB1/d9c5/Sj+wrj/oP6t/31F/8AG6AF8Kf8idon/YPg/wDRa1qSsqhS0xiHmINwx/eHHIPXp+PGDXK+GNFnk8J6M41zVEDWMB2q0WF+QcDKdK1DoV3lfL1/VN25fvNFjGef+WfpmgDpqxb/AP5G7Rv+ve6/9p0f2Dcf9DDq/wD31F/8brIvdEnHinSE/t3VCWguTuLRZGPL6fu/84oA7GqLspvJgJi5AXMfHycfTPPvmqf9g3H/AEMOr/8AfUX/AMbqrJoV2J33a/qmzA24aLPvn93QBr1jeFv+QCn/AF3uP/Rz0v8AYVx/0H9W/wC+ov8A43WR4a0WeTREYa5qaDzpxtVosf61/VKAOquWVLWVmmMChCTKMZTjryCOPcGtKuXk0K78p/K1/U/Mwdu9osZ7Z/d9Kvf2Dcf9DDq//fUX/wAboANc/wCQv4a/7CT/APpJcVtVx2s6JOuq+Hgdd1Rt+oOAWaLK/wCiznI/d9eMfQmtf+wbj/oYdX/76i/+N0AXZmX7ay+cSwjUmLjCjJ+bpnnp1xx9aKyZtCuxcHPiDVDHsGPmiznJz/yz6dP1pv8AYVx/0H9W/wC+ov8A43QAnhz/AFOo/wDYRuP/AEM1ryECJyX2AA5YdvfmuS0DRZ3hv8a5qaYv5x8rRc/Oefuda1m0K52nbr+q7scZaLGf+/dAHRQENbxkSGQFAQ5x83HXjisnxN/x5WP/AGErT/0clNj0G68pN/iDVd20Z2tFjPt+7rK8R6JOlnZk67qj51C1GGaLjMq8/wCr6igDsaqXTKLqFfOIYo5EXGGGV+bpnjIHXHzc54xQ/sG4/wChh1f/AL6i/wDjdV7jQrsSx48QaoY9rbstFnPGMfu+nX9KANWsbRf+Qt4j/wCwin/pLb0v9hXH/Qf1b/vqL/43WRo+iztqevga5qa7b9QSGiy3+jQHJ+Trzj6AUAdfU9mytZwssxmUoCJDjL8deAB+QrA/sK4/6D+rf99Rf/G6ng0G78iPzfEGq+ZtG7a0WM+37ugCbxT/AMi9P/10i/8ARi1sVx/iXRJ49CmY67qrjfF8rNFj/WL6R1rf2Dcf9DDq/wD31F/8boA0LtlEkAMxQknCcfPx9M8deMUysu50G7Bj2+INUKZO7LRZ6cY/d1H/AGFcf9B/Vv8AvqL/AON0ALaf8jZqn/Xpa/8AoU1a9cla6LOfFGpJ/bmqAi1tjuDRZOWl4Pye361q/wBhXH/Qf1b/AL6i/wDjdAG7ZMrW2VmMo3uNxxwdxyvAHTp+HOTzWf4t/wCRM13/ALB9x/6LaoLbQbvyR5niDVN2WxtaLGMnH/LPrjFLc+GGvLWa1udc1aWCZGjkjLxAMpGCOI88g0Ab1cD8XGVfClqWmMI+3J8wx/ck45Brvq4T4seZ/wAIta+Xtz9tT73+49AHQeIwC2j5jL/8TKL0+Xhuea265/xWqMmkBzgf2nCQMA5I3Edff+VaBhiYyExoTINr5UfMPQ+o5NAFeT/kc4P+wfJ/6MStiuZaNF8Y22EUbNOkC4HQeZHwK1fs8OzZ5Mezf5m3aMbt27d9c859eaAH4AuJyITGS4JY4/efKPm4P4c4PHpilpLWC2kN3kJKXfbKGRePlHynjkYOec/eNWvs8IdX8mPeilVbaMqDjIHtwPyFAHP+FP8AkTtE/wCwfB/6LWtSQBgoaEzDeh2jH94c8kdOv4cZNUfCVpbf8IToSfZ4tosoJMbBjdsDbvrkk59a0b63tvs0pdUjEpRZGCL8/IG05ByD936GgC7WLf8A/I3aN/173X/tOrXlR+YsnlrvRSqtjlQcZAPpwPyFYt9bwjxToyCGPaIrpwNowGzGc/XPOfWgDqqouqi7mIhKEhcycfPx7HPHvTGt4XEoaGMiYYkBUfOMY59eOKfaxwvdSuWDyoAoBUfuwcEgHGcHAJ57CgBaxvC3/IBT/rvcf+jnroBaWwRUFvEFVt6jYMBs5yPfJPPvWL4WtLaTw6yvbxMs09wJQUBDjzXHzevHHNAF65VWtpVaEzqUIMQxl+OnJA59zWlVW9igW3mncrCyROPPVRujU8kgkH0B9OBUAt4QqqIYwqNvUbRhW9R78n86AK2uf8hfw1/2En/9JLitquV1y3hbVNCVoYys2oP5oKjD/wCiTj5vXgY57VtmNDIJCi+YAVDY5AOMjPpwPyoAdMq/bWbySG8tR5vGGGT8vXPHXpjn60VHbW9r9pMYCHy1V1h2LtjJLfMOMgnkde31zba0tnSZGt4mWb/WqUBEnGPm9eABz2FAHP8Ahz/U6j/2Ebj/ANDNa8gBjYFN4wfl4+b25qh4bgiK6jKYk8wahcqH2jIG/pn04FaslrbJb4EUcaxAshVB+7ODyOODyfzoAlgAFvGBGYwFGEOPl46ccVk+Jv8Ajysf+wlaf+jkqaOC3kt2BRJUnAMhZR+9+UDLcYOQAPwrL8Sxp9nspNi+Z9vtV3Y5x5ycZ9KAOoqpdKv2qFvJJYI4EvGFGV+Xrnng8DHy844zCtvAqxKsMYWI5jAUYQ4IyPTgkfiaRLe2e7aKQIfOjdnhKKVl+4CzcckDA69D34wAS1jaL/yFvEf/AGEU/wDSW3rovIh83zfKTzNu3ftGcemfSsPQrW3XVfECrbxBYdSQxgIMJ/okA49OCR+JoA06ntAFs4QsJhAQYiOMp7cEj8jQ1pbMsqtbxFZTmQFBhzgDJ9eAB+AqlbrE0ccyP5rFABMQNzr15IA+tAEXin/kXp/+ukX/AKMWtiuW8S28C+HiqwxhYZIjEAownzqPl9OCRx2JrYNvCyyKYYysh3OCowx45Pr0H5UAT3YBkhJhLkE4fj5OPc556cUymKkP2+JywWVgVxtGXABOCcZwOTVpbS2VIkW3iCw/6oBBhOMfL6cEjjsaAMG0/wCRs1T/AK9LX/0Kates61tLZvFmsI1vEVe1tWcFBhjum5PqeB+VbQgiEhkESeYQFLbRkgZwM+nJ/OgCOzAW2wsJiG9ztOOfmPzcE9evrzzg8VYrKggtlRFiCOkEjiL5FHl4JXauAMADK/Qd6kNvCVZTDGVdt7DaMM3qffgflQBo1wPxcVW8KWoaAzD7cnyjH9yTnkiuvEaCVpQiiRlCl8ckDOBn05P5muC+K0FsnhGyiISGKO8RUCouFAjfAAIwB/hQB1/ifdt0nbj/AJCMWc+mGrQrN8UAFdIzHvxqURHT5eG55rSoAwdRul0/xLbXU0F28Bs5I99vayz4behwdinHAPWpv+EmsP8An31b/wAFN1/8brYooAzLbxPZhX3waoRu+Tbo930wOv7vrnP6VN/wlGn/APPvq/8A4J7v/wCN1o2aqvnlYPLJkyWwP3h2j5uD+HPPy+mKs0Acf4W8SWMXhHRY2g1UslhApK6VdMMiNehEeCPcVo3HiezMJEcGqBsj72j3eMZGf+Wfpmp/CX/ImaF/2D7f/wBFrWheqrWxDQecNyHZgddwweT26+vHHNAGF/wk1h/z76t/4Kbr/wCN1kXviKybxPpMgg1PCw3AIOl3IPPl9B5eT07V19Y19/yNmj/9cLn/ANp0AL/wk1h/z76t/wCCm6/+N1JbeJ7MNJug1TZxtxo93n3z+7rUp1oqiadhBsYlcyYH7zj2OePegCh/wlGn/wDPvq//AIJ7v/43WR4Y8SWMWhIjQaoT585+XSrphzM56iPFdjWL4U/5F+P/AK+Lj/0c9AEc/iizNvIIoNUEm07S+j3eM44z+76VB/wk1h/z76t/4Kbr/wCN1vXiq9jOrwfaFMbAw4B8wY+7yQOfc4qGgDkNY8RWT6poDCDU8JfsxzpdyCR9mnHAMfJ56DnGT0BrX/4Saw/599W/8FN1/wDG6TWv+Qt4c/7CL/8ApLcVs0AZVv4nsxM+YNU8vaMAaPd5zzn/AJZ9On61Y/4SjT/+ffV//BPd/wDxur1sq/a5W8jDGNQZsD5hk/L1zx16Y+b61coA47w94ksY4dQDQaod2oXDDbpV03Bc9cR8H261rP4osfLbbb6tuwcZ0e7xn/v3S+G/9RqX/YSuP/QzWvKAYXBTeCpynHze3PFAHNp4msti74NU3Y5xpF1jP/fusrxD4ispLSzCwamMX9s3zaXcrwJVPePr7dTXWRALCgWPywFACcfL7ccflWT4k/487L/sI2v/AKOWgBf+EmsP+ffVv/BTdf8AxunQ+J7MXAIg1Ty9h3D+x7vOcjGP3fTr+la1ESqb5GMG5hG4E2B8gyuV655wDwMfLz2yAUv+Eo0//n31f/wT3f8A8brI0bxJYpqviFjBqhD6gjDbpV0SB9lgHIEfB46HnGD0IrsaxdD/AOQv4l/7CSf+klvQAf8ACUaf/wA++r/+Ce7/APjdUo/E1p5a+bBqZkx8xXSLsDPt+7rp6zrdVW3jVIPIUKAIsD5PbgkflQBy3iPxFYy6HMiwaoCXi+9pdyo/1i9zHitX/hJrD/n31b/wU3X/AMbpfE//ACAJ/wDrpF/6MWtegDIj8TWYnQrBqmzndnSLsnpxj93Vr/hKNP8A+ffV/wDwT3f/AMbq4iqbuEmDeRnD4H7vj3OeenFXqAOPtfEliPFWpyGDVdrWtsABpV0Tw03UeXkde/Xn0Na3/CUaf/z76v8A+Ce7/wDjdOs/+Rv1b/r0tf8A0KatigDmR4ms8t5kGqFtzY26RdjjJx/yz64xTZPFemQxPLNHqccSKWd30u5VVA6kkx4AHrWxGqqHCweSPMc7cDkljluD36+vPODWX4r/AORO1v8A7B8//otqANeuH+Knmf8ACMW3llQfti/eH+w9dxXC/FdVbwtbBoPOH21Pl44+R+eTQB1Hindt0cKcE6nCMZxn72ex7VpmK4zJhEIC5T5/vH0PHHb1qj4h3btI2kD/AImMWcjthq2qAKYin3oCibSpLnf908YA45788dPek8q58vPlx79+MeYcbd2M5x1xzj14z3q7RQBnwzyRSXaKPMKMNoL4wdo+X7vA6HPPU/Spxcyb0BiXaVJY7+QeMADHPfn29+GP5nnS7ypG75MDoMDr75zSUAZPhK5mHgrQv3CbvsUAI8zjbsAznHXHOPwz3rTu7mQwSKF8v5kEbB/vnI4PynAJ478HtWX4U/5E7RP+wfB/6LWtY+YSvllQ25fvDIxkZ/TNAD/Jn8xBsTYVJZt3IPGBjHPfn29+MO+juf8AhKdGzHHvMd0CPM4C5j5zjrjnH4Z7109Yt/8A8jdo3/Xvdf8AtOgC60VyBNtjjJUfu8yEbzjvxxz9abFK0V7JHkuu0FwW/wBWeMADHOeSTnjA9av1Ul8z7Q+4rswNoA5HrmgAF1NsUmBNxfDDzOi565xycY4/WsXwvczL4dbZAjMs9x5QMmN581+vHy88d/X2rYrG8Lf8gFP+u9x/6OegDXvLkiCUHMUPlMWmVvmQ9sDBz3P4Dg5pwiudqExxhi2GHmHheeenJ6cU2TzDE4iKiTB2lxkA9sj0q/QBzGux3I1TQtscZYai/lAyEb/9EnPPHy85Hf19q3DDN5oAVPL2klt3IPGBjH1/KqGuf8hfw1/2En/9JLitqgDNjlmhudrAGRlXfEH+VFy2GB28k46e35ztdTBJisCFlz5QMmA/A6nHy85Hf19qWfzPtGSV8vYMDHOcnPPp0/WmUAZXhy4cDUB5Y8s39yS27nO/pjH15zWq91L9nBaJUJz5hWTOwYPI45PTisbw5/qdR/7CNx/6Ga2G3bTtwGxxnpmgBkaXBtmaNUkIUeUWkx5g2g5b5fl5z2Pr7VmeJYpRb2I2r5f2+1+bdznzk4xiuij3eUm8gvtG4gYGax/E3/HlY/8AYStP/RyUAXViuSsRaKMMT+8AkJ2jB6cc849OvtUTvNb3R4Bk2P5UW/CyD5PmY7flIJx9DnntpVWufM82Mgr5e1twI5zxjB9Ov6UAH2l/Nx5Q8vbndu5z6Yx+uaw9CuZv7U14tAgZtSTzAJM7B9kg6cc84Hbr7VsVjaL/AMhbxH/2EU/9JbegDba6mCylYELA/uwZMbhgdeOOc+vT3qK1SR4oyreZCYwRKzfMx9xgf57U+rMHmC3j80qZNo3FRgZ9qAOe8TR3P/COktFGGaSLzQJCdnzr04+bnA7dc+1bBiuQshEcZYH5AZD8w45PHHf16VU8U/8AIvT/APXSL/0YtbFAGe5eG9i3ttQg7QrffODkEY6Ac5zUq3UxSEtAgZv9aBJkJwehx83OB29fan3PmZj2ldmTuBHJ44xUVAGTa3Mw8V6wwgQsLa1CAyYyN03JOOO/HPStoXL+aQYh5e0ENu5J5yMY+n51iWn/ACNmqf8AXpa/+hTVr0ARWvnzQRSYVi7v5uX/ANWcnIHyjcA3yjgcc/XN8WR3A8Ga8fLjyLKcAb+q+WeenXrx7da37bzBAPMKlstjaMDGTj8cYrM8W/8AIma7/wBg+4/9FtQBdEM3msCqeXtBDbuSecjGPpznv7VwPxYE6eELJ5NsTm8TeEfOD5b8A7eR74Fek1wnxY8w+FrXyyoP21PvDP8AA9AHQeIwC2j5j341KIjgfLw3PNbdYniMgNo+WZf+JlFjHfhuK26AMPUXv7jX7fT7S/azjNq8zMkSuWIZVA+YHA5NO/srV/8AoY7j/wABYf8A4mnSf8jnB/2D5P8A0YlbFAHMf2Tqi3E5GtzxkuCzfZYB5h2j5uB9Bzz8vpinf2Xq3/Qwz/8AgNF/8TWtlTcXGJGYhwCG6Kdo4Ht3/E06gDkvDGm6o/hPRmTXp0U2MBCC3iO0bBxkrWjLpOqMqhtanmG9Dt+ywHB3DDcjHHX1445qXwp/yJ2if9g+D/0WtakhUBS0jIPMTleudwwPoen40AVf7K1f/oY7j/wFh/8AiayL3TNVHinSFOvzljBc4b7NF8v+rz/D3/pXY1i3/wDyN2jf9e91/wC06AD+ytX/AOhjuP8AwFh/+Jqk2k6oLuYjWp0Y7cy/ZYP3nHsM8dOa6eqLlTeTASOzALlT0XjtQBkf2Xq3/Qwz/wDgNF/8TWR4a03VH0RCmvTIvnT/ACi3iP8Ay1f1WuvrG8Lf8gFP+u9x/wCjnoAjudJ1R7WVX1qe4UoQYfssB8wY+78wA56c8Vof2Vq//Qx3H/gLD/8AE1YuSq2speR41CHLp95RjqOvNaVAHHazpmqrqvh4Nr87FtQcKTbRDafss5z93ngEfjWv/ZWr/wDQx3H/AICw/wDxNGuf8hfw1/2En/8ASS4raoA5mXSdUF6zf21OHMagzfZYPmGT8vTPHJ6Y+bjvS/2Xq3/Qwz/+A0X/AMTWxMV+2sPMct5akp/CBk8/U/0FFAHIaBpuqNDf7demTF/ODi3iOTvPP3a1JNK1UxODr07gg5T7LD83tyuKd4c/1Oo/9hG4/wDQzWvIQInJYqMHJHUUAUYNJ1ZbeMLr1xEoUAR/ZYPl46cLjj2rL8R6Zqq2dmX1+dwdQtQAbaIYPmrg8L2rrYCDbxlWZhsGGbqeOprJ8Tf8eVj/ANhK0/8ARyUAH9lav/0Mdx/4Cw//ABNVbnSNV+1QsdbnZwjgTfZYPkGVyvTPOAeOPl57Z6Sql0V+1QgyOGKOQg+6Rlck+44/M0AYv9l6t/0MM/8A4DRf/E1kaPpuqNqevhdemUrfqGP2eI7j9mgOfu8cED8K6+sbRf8AkLeI/wDsIp/6S29AC/2Xq3/Qwz/+A0X/AMTUtppGqrZwqmuXFuoQARfZIBsHpwCOPatOp7Mq1nCVkaRSgw79W46mgDlfEumaqmhTF9fndd8Xym2iH/LRfRa1v7K1f/oY7j/wFh/+Jp3in/kXp/8ArpF/6MWtigDnLrSNVMkJbW55CCcSfZYP3fHuM89OKb/Zerf9DDP/AOA0X/xNbd2VEkAMjKSThR0bjvTKAOStdN1Q+KNSUa9OGFrbEt9ni5G6XA+725/OtX+y9W/6GGf/AMBov/iaW0/5GzVP+vS1/wDQpq16AMuz0jVVt8JrlxAN7nZ9kgGSWOW4H8R+b1555zS3nh/UdQsbiyufENy0FxG0Uii3iBKsMEZ28cGtiyKm2ysjON7jLdc7jkfQdB7CrFABXA/FxVbwpah7fzx9uT5cKcfJJzya76uB+LhUeFLXdI6D7cnK9fuSUAdB4pUumkgEYGpQk5z23GrxiVjITnMi7W+Y8j/Jqh4oAK6RmPfjUoiOny8NzzWlQBjMgXxja4z8mnSBeT08yOtXyU8vZhtu/wAzG4/e3bs/nWJqF/aad4qtpr24jt4msZEV5G2gnehxn1qz/wAJRoP/AEF7L/v8KANaG1WT7Q0wVvNOOMg7cYweevXkY7VP9lhDo+z5kUqpyehxn+QrFs/E/h5PPI1GxiLSZLean7w7R83B9sc8/L6Yqz/wlWgf9Bmy/wC/y0AVvCVlb/8ACE6Evl8Cygk+8fvbA2fzNal1aI0E3lqoaXActk5XoehGDjNc74W8TaHD4Q0WKTVrNHSwgVlMwBBEa5FX7zxR4ee2KtqVjMNyHYZUPIYHPJ7dfw45oA0Ni+YknO5FKqcnocZ/kKxL6FB4p0ZMHaI7px8x65jP86n/AOEo0H/oL2X/AH+FZF74k0RvFGkyDVbQosFwGbzRgZ8vH8jQB1LQo4mB3YmGH+Y8jGPw49Klgg3ztLJtbaNseM5AOM55weQO1ZH/AAlGg/8AQXsv+/wpbXxP4eWadv7RsUZtuZPNT95x9c8e9AG0LK3CKgj+VX3j5j1zn+tYvhezgk8OsrR5E09wH+Y8/vXH4celW/8AhKtA/wCgzZf9/lrH8MeJtDi0JEk1azVvPnODMB1mcj9KAOmuLYFGliCrOsbLGzZKjOOoBGeQKriFAqKA2EbevzHg8/4mqV54o8PSWU6NqNjcK0bAwmVD5nH3eTjnpzxUX/CUaD/0F7L/AL/CgCDXII31PQlYEibUH3/Mef8ARJx+HHpW4VBlEnO8KVByehx/gK5PWPEmiPqnh9l1W0IS/dmIlHyj7NOMn8SB+Na//CUaD/0F7L/v8KANS3tFLhWAMMeGjXncG5ySc8jnpVhrK3dJkaP5Zs+Z8x54C/hwB0rDt/E/h8Xcr/2jYqxjUed5qfMMn5eueM59Pm+tXP8AhKtA/wCgzZf9/loAr+G7eIjUZSnzjULlQcnpv/8ArVrNZwrCqxoAY8tHkk4OD15561zPh7xNocUOoB9Ws13ahcMMzDkFzg1qy+KfD7QuDqti4KkFPOX5vbk0ATiBWhkSTkzD97tJAJwAcc8cAVl+JVHkWUnO/wC32q5yennJSxeJ9AWFANTsowFACeavy+3BxxWX4h8SaJLaWYTVbRiL+2Y4lHAEqkmgDqVgjVYlAbERynzHg4I/HqaVbUSyyK2DDKpMqknJb5QCDngYB/T3zmf8JRoP/QXsv+/wpIvE/h/7ajnUbEsI3Am81PkBK5XrnnAPHHy89qAN/wCzReb5uz59u3OT0rD0KzgXVNfUJxDqSFPmPH+hwD8eCetWv+Eq0D/oM2X/AH+WsfRvE2hpqviFn1azVZNQRkJmHzD7LAMj8QR+FAHTtZW7LKpj4lOX+Y8nAH4dB0qtGjKVeRgZtgVmXIB+gycVD/wlWgf9Bmy/7/LWdb+JvD6W8arqNlAoUARCVPk9uDj8qADxLBGvh0oAdsMkRT5jx86j8eCeta5hRlkUhsSHc3zHk8f4CuY8R+JNEl0OZI9VtGYvFwJR/wA9FrV/4SjQf+gvZf8Af4UAaqRFrxZAR93a+7JJHOMc4HJqdbO3VIUEfyw/c+Y8cEfjwT1rBXxP4fN1CzajZOVziQyp+749znnpxV7/AISrQP8AoM2X/f5aAK1rZwN4r1lDH8r21qzDceTum/wFbYt4hKZNnzlQpOT0Gf8AE1y1r4m0MeKtUkOrWYRrW2Ct5wwSGmz/ADH51r/8JVoH/QZsv+/y0ASx24iWOM4/cMRFtJAC8gDknJ2nBz35pTChV1IbDtvb5jyeP8BWVH4m8PqHC6jZQgyOdolTkliS3B7/AHvXnnmnf8JToI5OsWQHqZloA1QoErSjO9lCk5PQZx/M1wnxTt/+KSsoYsBY7tFUMScARuPWu9rhfiuqv4Wtg0AmH21PlIHHyPzzQB1HiggLpGWYf8TKLGO/DcVpVneKPM2aT5Y3H+0ocjHb5s9x9f6GtErMDIBA52rkEFfnPoOev1x1oAKKAsxdB5DgMpJbK4Q8cHnrz2yOD7ZTE3l7vs0md+3buXON2N3XGMfN647Z4oAlsyp8/a7sRJyG6Kdo4Ht3+pNWapRzywm4WSJmCndHsCjcMdOW5Oc8naOR6ZqX7UN6L5MmGUkt8uFPHB5zk5PTI4PPTIBn+Ev+RM0L/sH2/wD6LWtC9Ki2O53Qbk5TrncMD6HofasXwleEeCtCJtps/YoE25XIGwDd97pjn1wemeK1bi5leKVYYX3rgrkKRIOpA+Yc4yMnABOeRQAVjX3/ACNmj/8AXC5/9p1s7ZfMRfJfDKSXyuFIxwec5OT0BHB56ZxL7zv+Ep0Y/ZpATHdLtyuQMxjd1xjv647Z4oA26daFTNOA7lgVyp6Lx2pjCZRKRbSNsGVAK/vOM4Xn8Ocf1p0cksNwySITGw3KVUfJjHBO7knPGBjg57ZALlYvhT/kX4/+vi4/9HPWgL0lFb7NMCX2lcrlRn7x+bp34556Vi+F7wp4dYi3mYxz3BVVK5k/eucLk/hzjn25oA3bwqLGcu7oojbLp95RjqPeoadPcOytFChV2jbbKyhkVuMAjcCeuePQ8jimATFUP2aQFm2lSVyo55PPT6ZPPSgDH1r/AJC3hz/sIv8A+ktxWzWJrvnLqmhEW0jFNRfaAVzL/ok5+Xn8Occj05rcKS+aE8pipUnfkYB4465zz6dqAC2K/a5Rvct5a5T+EDJ5Hv8A4CrlUIpp4pA0kDhHwvl4Xch5yxO7BHTgc/0la8KpMwtpmMedqgrmXgH5ctjrxzjkenNAGf4b/wBRqX/YSuP/AEM1ry4EL5JUbTkr1H0rB8OXIA1FPKk2nULlt/GB8/TrnP4Y4rWN2zRLtglV3yPm2ny+Dy2G5HA6HPP5AEURBhQqzMNowzdT7msnxJ/x52X/AGEbX/0ctawFwsMha3d3jHAXaPNO0HKgtwMkj5iOnpgnK8SpILeyTym2/b7U78jGfOTjrnP4UAbFERX7cgLuG8t8IPukZXJPuOMfU01fOKxE20ilzhgWXMfBOTz7Y4z1HvhPMuIJXcwOY0UgRgLulPykFTuAA+8MNjJ9AOQDQrF0P/kL+Jf+wkn/AKSW9af2oebs8qTbtzv4xn065z+GKw9CuydU19jbyqZNSTcCVzH/AKJB97n2xxnqO2SADo6zrcqbeMo7upUYZ/vH3PvU7XpCykW0zFDhQCuZOAcj5vfHOOh9sxRJcfKkibjsBaVQFUn0AySP880AZXif/kAT/wDXSL/0Yta9Y3iXzj4dLG2kUySRblJXMfzqfmwfUY4zyR2yRsETBZCLaQlDgAFcv05HPTnvjofagAUqLuEF3BOcKOjcd6vVSzNHdINhWIDLMQDu68D5sgjr0xT1vMpCxt5lMn3lJXMfBPzc+vHGeT6c0AUbP/kb9W/69LX/ANCmrYrnbW8I8V6wwt5iVtrVQoK5YbpuRz0574PFbYuh5pTypAoUHfxgnnjrnPHp3oArRlSH2u7jzH5frnccj6DoPYCsvxX/AMidrf8A2D5//RbVpxG5kjieSBt0rEkDaPKByQG+Y5I4UlScnngdMvxYJh4M14/Z5Plsp1xleR5Z+Yc9P146UAbFcJ8Vyo8LWu53QfbU5Tr9x67wJKZWTymChQQ+Rgk5465yMemOR744P4p/af8AhErJ0gZHa7Qsj7WKfu34OGxn6EigDrfEYBbR8xh8alEecfLw3PNbdYniPG7R8lh/xMosbe/DdfatugAorG1G61R9ag0/Tp7O33W7zvJcWzTZwyqAAsiY+8fWk+zeJv8AoL6R/wCCuT/5IoAt7VW4uCIRGWcEsMfvDtA3cfTHPp9KdWL9n8R/aJ8axprEOM7tLlAB2jgZn6fTvmnfZvEn/QW0n/wWSf8Ax+gBfCn/ACJ2if8AYPg/9FrWpKquFDQiYeYh2nHZgc8+nX8OOa5Xwxb+IT4T0Yxappixmxg2q2nSMQNgwCfPGT74FaUtv4jCru1jTVG9OU0uUnO4Y6T9PX2zQB1FYt//AMjdo3/Xvdf+06Ps3ib/AKC+kf8Agrk/+SKyL238Rf8ACU6QG1XSzIYLnaw02QAD93nI8/nt3H40AdjVF1UXkzCAIWC5k4/ecfnx71T+zeJv+gvpH/grk/8AkiqTW/iP7XMP7Y00sNuQdLlCjjt+/wD5UAbVY3hb/kAp/wBd7j/0c9L9m8Sf9BbSf/BZJ/8AH6yPDVv4hOiIYtU0xV86fhtOkY58188+eO9AHVXKq9rKjQCdWQgwnGH4+7zxz71pVytzb+Ihayl9Y01VCHLR6XKWAx1GJ85rQ+zeJv8AoL6R/wCCuT/5IoANc/5C/hr/ALCT/wDpJcVtVx2s2/iIar4e36rpZY6g+wrpsgCn7LPyf35yMZGOOSDnjB1/s3ib/oL6R/4K5P8A5IoAuzKovWfyAGMagzcZYZPy+vGc+nzfWisaW38R/bWH9s6aW8tcr/Zcu0DJ5H7/ABnrn8KX7N4k/wCgtpP/AILJP/j9ACeHP9TqP/YRuP8A0M1ryAGJwU3gg/Kf4vbmuS0C38QmG/8AL1TTFH2+fO7TpDk7zk/68ce1aslt4j8p86vpYGDkrpkuR9P39AHRwALbxqIxGAgAQY+XjpxxxWT4m/48rH/sJWn/AKOSmQW3iU28ZXWNKI2jBfS5cnjv/pHWsvxHb+IhZ2fmarpbD+0LXG3TZFwfNXB/154z2/UUAdjVS6VTdQv5ALBHAm4ygJX5fXnAPp8vPaqH2bxN/wBBfSP/AAVyf/JFVbm38R/aoQdZ03dsfCjS5dpGVyT+/wAZ6Y+p96ANesbRf+Qt4j/7CKf+ktvS/ZvEn/QW0n/wWSf/AB+sjR7fxAdU1/ZqmmBhfrvJ06Qgn7NByP3/AAMYGOeQT3wADr6ns1VLOFVhEChABEMYTjpxx+VYH2bxJ/0FtJ/8Fkn/AMfqW0tvEhs4Sms6Yy7BgyaVKGP1zODmgCx4p/5F6f8A66Rf+jFrYrj/ABLbeIxoUxl1XSmTfFkLpsin/WL3881rfZvE3/QX0j/wVyf/ACRQBoXaqZIGMAcqTh+Pk4/PnpxTKybq38SCSDdrOmAknAXS5cHjv+/pv2bxJ/0FtJ/8Fkn/AMfoAW0/5GzVP+vS1/8AQpq165K1t/EP/CUakBqmliT7LbbmOnSYI3S4wPP479/y76v2bxJ/0FtJ/wDBZJ/8foA3bJVS2wsIhG9ztGOSWJLcevX8eeaz/Fv/ACJmu/8AYPuP/RbVWs7bxIbf5NZ0xhvfmTSpc53HI5n6Z6e2KTUNI8Q6npt1YT6xpYhuoXhkKaZIGCsCDgmc84PpQB0VcD8XEV/ClqGgEw+3J8pxx8knPNd9XA/FwqPClruaRR9uTlASfuSelAHSeIt27SNrAf8AExizkZyMNW1WB4qQOmkZUtjU4WBBxgjcc1oFSTIfMl/eLtOHPH09Dz1FAFaT/kc4P+wfJ/6MStiuaYEeMbU73+XTpAMsef3kfX1rV8s+Xs82bG/fnzGznduxnPT26Y46UASPv8+XeysN3yhVxgYHB55Oc88dR9SlNt7SN2u3aN0aZsMwcjd8oG4Y6HtnrwParH2WIOj/AD5VSoG84OcdR3PHX6+tAGF4U/5E7RP+wfB/6LWtY7yV8tlVty8suRjIyOo5xn/6/SszwlZRf8IToS7pf+PKCTPmNnOwHGc9PbpjjpWneWUT28uY3k3lcrvPy4I+ZeeCOvHOR60AXqxb/wD5G7Rv+ve6/wDadXMHzEfzJMqpUDecHOOo7njr9fU1iX0f/FU6MvmS8R3T58w5zmM4znp7dMcUAdTVOUP9ofc6lMDaoXBHrk55/IVG0ZYTAyyjzRg4kIxxj5efl/CnQW6PdyTNEVcDbvDf6zp1HcjGAT6nHWgBaxvC3/IBT/rvcf8Ao563RZRBFXMuFfeD5jZJznBOeRz06VjeF7OKTw6ykyjzZ7gEiRgR+9cfLz8v4d+aANKUOYnETqkmDtZ13AHsSMjI/EVoVTvLSJ4ZWMJm/dMvklvlcHsQeD0xz6n1qMRkKi+bLhW3AmQ5PXrzyOelAFXXP+Qv4a/7CT/+klxW1XLa5Hu1TQlMkv73UHyRIwK/6JOPl5+X8O/Nbh3GUSb3yFK43HHOO3TPHWgB04f7SSXXy9gwu35gcnJznp04x2PPo2o4LSNrjLJISgUiYyHc3LfKTnJAyTg8c1ZayiZJkJlAmzkiRgV4A+U5+Xp2789aAMHw5/qdR/7CNx/6Ga2GztO0gNjgkZANZvhu2jI1GT5sjULlcbjj7/p0z71qvZQiAJiRwmSFMhO7g8HJ5HPegCzFu8pN5DNtGSowCfYVj+Jv+PKx/wCwlaf+jkqdIf8AR3jBliWQDKLIRs+UDC4Py4x27896y/EuTb2Um98/b7UY3HH+uTt0z70AdPVa5D+dGQ6iPa25SvJPGCDngdeMc5HIxzAsZVYlEsxEZyCZGJPBHPPPXv7elN+ypPct5iSNvRv33mENHnYNqnOVB2g8cZXPWgCWsbRf+Qt4j/7CKf8ApLb10H2WPzfM+bO3bjccfl0z71h6FZxDVNfXMhEWpJtzIxJ/0SAfNzz1798elAGrVm3Di3jEjK77RuZF2gn2GTj8zUTWUTLKpMoEhycSMCOAOOeOnb39arW6eWkZVGhAQIIVb5UHoAOPyoAh8U/8i9P/ANdIv/Ri1sVzHiWPb4dK+bMRFJERmRiT86j5jn5uvfvg9q1zGWWRfNl/eHJxIQR06c8Djt70AWLnfmPayhcncCuSeOxzx+tRUzyVkvopHjaQgEBi3CdeQPU5xkVYWyiVIVBkIi6EyMS3BHzHPzde/fmgDDtP+Rs1T/r0tf8A0Katesy1s4m8V6yhMuHtrVjiRgR803Q54HHStoW0YlMnzZKhcbjjjPbpnmgAtt4gHmMrNubBVcDGTgdTyBgE9z6dKmrLgt1gjjiRZIlhdtq+YTu5I3Nz8xOd3Pc5PNSGMlXXzZcM24kSHI6dOeBx0oA0K4T4sCQ+FrXy3RT9tTllyPuP7iutG4StJvfLKFxuOOM9umeev09K4L4rW6t4QsoWWSZY7tAA0hJ4jcZJJ5PuaAOs8UY26RksP+JlFjbn0brjtWlWf4n3bdJ2so/4mMWcjORhq0KAMK7u7a08XW7XNxFCrWEgBkcKCfMT1q//AG1pX/QTsv8Av+v+NWZraC4x58Ecu3pvQNj86i/syw/58bb/AL9L/hQAlnrej/vsarbZ8znfOMA7R93J6fTjOe+as/25pP8A0FLL/wACE/xplrplkRJutLNhv+ULAoKjA4Pqc5PbqPqZ/wCy9P8A+fG2/wC/K/4UAYnhTWdLj8H6Ij6lZqy2EAKmdQQfLXjrWhea5o/2Y7tVtgNy/wCrnBOdwx0PT19s54qn4U02xfwdobNZWxY6fASTEuSfLX2rSutMshAdlpZo25eWgUjGRkduSOB7+vSgCp/bWlf9BOy/7/r/AI1j3ur6YfFOkMNRtCqwXIJ89cDPl+9bn9mWH/Pjbf8Afpf8Kx73TrEeKtIUWdvgwXOR5S8/6v2oA1P7a0r/AKCdl/3/AF/xp1prej+dPjVbbdlchpxtHHbJx9cU7+zLD/nxtv8Av0v+FSW2mWReXdaWbLkbVEABXjnJ7/kKAJP7c0n/AKCll/4EJ/jWN4W1nS49BRX1KzVvPuDgzqP+Wz+9bv8AZen/APPjbf8Aflf8KxvCum2L6AhaytyfPuOTEv8Az2f2oAv3muaP9in36rbBfLbJinBcDHbBzn6c1D/bWlf9BOy/7/r/AI1cudMsvssvl2lmj7Dtd4FKqcdSOMj8RVf+zLD/AJ8bb/v0v+FAGHrOr6Y2qeHiuo2hC6g5YideB9mnGTz6kfnWx/bWlf8AQTsv+/6/41l6zp1iuq+HgLO3AbUHBxEvI+yzn0rY/syw/wCfG2/79L/hQAy21vRxdy/8TW23bFyDONmMnpzjPr36e1W/7c0n/oKWX/gQn+NRW+mWXnyZtLMptGE8gbgcnJz6dO3Y8+ln+y9P/wCfG2/78r/hQBheHdZ0tIdR3alZrnUbgjM6jI3nnrWtLrmkeS+dVtANpztnXP4YNZvhzTbFodR3WVucajcAZiXpvPtWvJpdh5bbbK0U4OCYVIFAGdFrWk+Sm3VLUjaMF51z+OTnNZXiLV9Mezswuo2jEahak4nU8CVcnrW0mmWPlrus7RmwMlYVAJ9hzWT4j06xWzsytnbjOoWo4iXp5q+1AGp/bWlf9BOy/wC/6/40Ra3o4vUzqtsG8tsATjYRlc55xnpjPPXHepP7MsP+fG2/79L/AIU6HTLL7Uv+iWezY2UMA3E5GCD6DnPHccjHIBN/bmk/9BSy/wDAhP8AGsbRdZ0tdW8RFtSswG1FCpM68j7LbjI59Qfyrd/svT/+fG2/78r/AIVjaLpti2reIwbK3IXUUABiXgfZbc+nvQBq/wBuaT/0FLL/AMCE/wAaz7fWtI+zx7NUtiu0YMk4DH65Oc/WtT+y9P8A+fG2/wC/K/4VQi0yy8pfMtLN3xyyQAAn1A5x+ZoAyPEusaY+hTKmo2jHfFwJ1P8Ay0X3rW/trSv+gnZf9/1/xrN8S6dYroMxWztwd8XIiX/novtWt/Zlh/z423/fpf8ACgCJdb0gXUO7VbYHnAWcbTx3wcfnV3+3NJ/6Cll/4EJ/jUEemWX2iPFpZhedymAEtx2Pb9at/wBl6f8A8+Nt/wB+V/woAxLTWdLHizVHOpWYU2lqAfPXBIabPf3Fa/8Abmk/9BSy/wDAhP8AGsy002xPi3VVNlbbRaWpA8pcD5pvatf+y9P/AOfG2/78r/hQBmR63pBD7NUtiPMfmScZzuOep6enbGMcU8azpZIA1KzJPQCdf8aeumWWX32lm53tykAAxk4HfkDAPuO3SsrxTp1knhHWmWzt1YWE5BESgg+W3tQB0FcJ8V9v/CLWu4yAfbU/1YOfuP6V3dcN8VN//CMW2x0Q/bV5Zcj7j+4oA6fxT9zSMReZ/wATOHgDOPvDP4VoksDIPKkOwZ4Xr9PU1S8R43aPkv8A8hKLG3Po3XHatugCiCxZF8qT51LZ28DpwfQ8/wA6Tc2zd5Uv39mNhz97Gfp3z6c1fooAowTrC10Gt2jKtuJVc+b8o5GOp4x+Aqf7VHvVcP8AMpbO3gYxwffn9DVf5ftFxtMmd43bwcZ2j7ue3TpxnPfNOoAy/CV5GPBWhHZL/wAeUCY2HP3AM/Tvn0rTu7hHglUW7TFCp2FevIOR6kdfqKyfCn/InaJ/2D4P/Ra1qS7cLvMgHmJ/qwSc7hjpzjPXtjOeM0AO+bzFTy3+ZS2dvAxjgn15/Q1i3zN/wlOjN5UvMV0uNhz1jGfp7+ldRWLf/wDI3aN/173X/tOgC2zMolPlSnyxk4Q/Nxnj1pYJBDdSI1uULjd5gH3sY6+/PGfer1UX2/bJsGXdhc7g23p/Dnj64oAmF7GUVtkvzNtxsORzjJ9uOtYvhe8jTw6xKSHyp7gkBCS371z8vrWrWN4W/wCQCn/Xe4/9HPQBtXc6PDJD5BmLxN8jD5W7bSTxzn+dMDMVVvKl+ZtuChyPc+3FMudv2WXeZQmw5MQYvjH8O3nP05rSoA5fXHZdU0I+VKfL1B+Ahy3+iTn5fX/GtshhKE8t+QTnHHGO/rzVLXP+Qv4a/wCwk/8A6SXFbVAGdBMI7je1q6+YFUSFPm4LcHuAOv8AwKrLXkapM2yQ+V1AQktxn5fXrj61FNt+2tzLv8tcghtmMnp2z1zjnpntRQBmeG7lAuox4bnULlt23j7/AK+taz3cbwD91I3mZXYyex6+g4/WsPw5/qdR/wCwjcf+hmteTHlPndjBztzn8Mc5oAYjMlux+zSIIgBsVM/wg4XHXrjj0rL8Shhb2SbH/wCP+1Occf65OM+tdFBj7PHt3ldgxvzu6d885+tZPib/AI8rH/sJWn/o5KALaszLE3kyjzDjBQ5Xgnn06fypvmiG5aR7Vz5aMvmbct/CcL3IPt3WtGql1t+1Q5Mm/Y+AA2zGVzntnpjPPXHegCX7Snm+Xh/u53bePpn1rD0K7Q6pr7bJB5upJgFDlf8ARIDz6dP5Vq1jaL/yFvEf/YRT/wBJbegDea9jVZW2SnyzjAQ5bgHj16/zqtbqwRIxbGLCA7VHyr7AjipKns9v2OHYZCuwYMoIbGO+7nP1oA57xK7Hw6W8qUeZJFgFDlfnU/N6dMfXFbBZgsjeVKdhxgIcnp09etVvFP8AyL0//XSL/wBGLWxQBQzsvYg1uTtBPmkcJkEcH1qdbyNkhbZIPN6AocrwT83p0x9abd7fMgyZN2TjaDt6fxY4/OmUAZlreRr4r1htkhC21quAhyfmm5HqOa2hcoZSmG4AOdvHfv68Vg2n/I2ap/16Wv8A6FNWvQBDA5eON1tXiEzsQoXpkk5b0J6/U1meK2b/AIQ3XT5Uny2U6/d6/uzyPbnrW9Zbfs3yGQje/wDrAQc7jnrzjPTtjGOMVn+Lf+RM13/sH3H/AKLagC2AxlaPy34UHdjg5z39eP5VwXxWYt4RspDaPIHvEOxk5X92/UHoa9Krgfi5t/4RS13mUD7cn+rDE/ck9KAOk8RZ3aRhlX/iZRZyM54bitqsTxGMtpHyBv8AiZRde3Dc1t0AZGo6jqEeqwafp1razSPA8zNcTtGAAyrgbUbP3qZ53ib/AJ8NI/8AA2T/AONU6T/kc4P+wfJ/6MStigDmmn8TmaXdZ6O3zcBbyT5RgcH93ye/brR53iT/AJ8dJ/8AA2T/AONVrkYuJz5Splwcj+P5Ryf5fhS0Acl4Yl8QjwnowistLaP7DBtLXcgJGwYyPLODWm0/iYbdtno6HcvLXkhHUcf6vv0/xp/hT/kTtE/7B8H/AKLWtVxuCjyll+dTtb/eHP4dfwoAqed4m/58NI/8DZP/AI1WRezeIv8AhKdILWOliTyLnaBeSYI/d5yfK+ldjWLf/wDI3aN/173X/tOgA87xN/z4aR/4Gyf/ABqqkk/if7RJutNHI4wovJMr9T5ddLVJxi6lPlKuQvzjq/Hf6UAY/neJP+fHSf8AwNk/+NVkeGpfEI0RPKstMK+dPy13IDnzXz/yz9a6+sbwt/yAU/673H/o56AGyz+JhC5S00dG2nDvdyEKfUjyxx+NXvO8Tf8APhpH/gbJ/wDGqszjdbyL5SzZUjy26Px0OfWtGgDjtZm8RHVfD2+x0sMNQfYFvJCCfss/X91wMZ9ecVr+d4m/58NI/wDA2T/41Rrn/IX8Nf8AYSf/ANJLitqgDm5p/E/2kg2ej7dgwgvJMg5POfL6fh2NJ53iT/nx0n/wNk/+NVszD/TC3lKP3ajzO55PH4dfxpKAOQ0CXxCIb/y7LTCPt8+d13IOd5z/AMs+larTeJdjYstIU44JvJMD/wAhUvhz/U6j/wBhG4/9DNa7jMbDaG4Pynv7UAUop/E/lJmy0djtGWF7IAff/VVleI5vERs7PzLHSwP7QtcbbyQ8+auP+WXTNddCMQRjYEwo+QdF46VkeJv+PKx/7CVp/wCjkoAPO8Tf8+Gkf+Bsn/xqq1xP4n86MfY9GC7Wyn2yTJORyD5XQc9u46d+jqpcj/SYm8pThHHmd15Xj8f/AGUUAYvneJP+fHSf/A2T/wCNVkaPL4h/tPX9llphY367wbuQAH7NB0/d8jGPTnNdfWNov/IW8R/9hFP/AElt6AF87xJ/z46T/wCBsn/xqp7efxQbeMtZ6M7bRllvJQD7geUf51o1PajbaRDyliwg/dr0X2FAHK+JZvEZ0KbzbHSgm+LJW8kJ/wBYv/TKtbzvE3/PhpH/AIGyf/Gqd4p/5F6f/rpF/wCjFrYoA565n8T7o/8AQ9GUZOVN5IS3Hb91/jUfneJP+fHSf/A2T/41W5djLwnylbBPznqnHao6AOStZfEP/CUakRZaX5n2W23A3cmAN0uMHy/rWr53iT/nx0n/AMDZP/jVLaf8jZqn/Xpa/wDoU1a9AGbbT+KDAM2ejP8AM3K3kg4ycD/VHkdPw7dKh1W28S6rpF7pzWmkxLdQSQGQXkjFAylc48oZxnpmt60G23x5Sx/Ox2r3+Y8/j1/Gp6ACuD+LO4eFbXZIiH7anLDI+4/uK7yuC+LY3eFbUeUsv+nJw3+49AG94p+7o+HkQ/2nCQUH+9weOh6GtItMTIRO43LgABfkPqOOv1z0rO8T526Thgv/ABMos5HXhuK0aAMhnlHjG1JlY7dOkByB837yPk8fyrWzN5e37TJnfu3bVzjdnb0xjHy+uO+eayX/AORxg/7B8n/oxK16AGQQCZ7thcXIZ2x8w4jO0cpkcjp6jOe+asfZRvRvOkwqkFflwx45PGcjB6YHJ46YLQsRLmRWAfgKMbRgcHnk9+3UVYoA53wlZk+CtCBuZs/YoH3YXJGwHb93GMceuB1zzWneWwWCVjcXK7mQKYhkxnIAIwOmcE5yOueM1W8Jf8iZoX/YPt//AEWtaV0WFudsiody8sMjqOOo5PT8aAIN0vmI3nPhVIKYXDE45PGcjB6EDk8dMYl953/CU6MPtMhIjum3YXJGYzt6Yx29cd881t1jX3/I2aP/ANcLn/2nQBsMZmEoFzIu8YUgL+74xlePx5z/AEpIYhNeSSGW4yoCshHyHOMEZHUYP3Tjk57YdUlqW8yUGRWGRhQOV4780AILMhFX7TMSH3FsLlhn7p+Xp245461jeF7Qv4dYC4mUyT3AVlC5j/euMrkfjznn24ro6xfCn/Ivx/8AXxcf+jnoAu3lsgglkeW4EaxOGSIZJ9xtG7cMHGD36E4wgMwVB9pkJVtxYhcsOeDx0+mDx1qzdFhaTFJFjbYcO4yFOOpGRx+NV6AMTXfObVNCAuZFL6i+0gLmL/RJx8vH4855PpxW4Xl80P5rBQpGzAwTxz0znj171i61/wAhbw5/2EX/APSW4rZoAihhMtzh7m6MiKpYkDay5bA+7tz9MHgZ97DWZZJlFxMpkztYBcxcAfLkY68855PpxRbFvtEg8xSuxcJj5gcnnOeh+nY1aoA57w5bAjUX819o1C5XZxg/P16Zz+OOa1XswtuA1xOdmSzADc4weOF9+2DwKo+G/wDUal/2Erj/ANDNbEmfKfDBTg4JHAoAz4/NNsypdTqHUbGZRujG0DjcvXjPzZOSfoMzxK8ht7J/Nbb9vtRswMZ85Oemc/jWtHkxrlgxwMsowD7isjxJ/wAedl/2EbX/ANHLQBrr5wWIG5kYocsSq5k4IwePfPGOg98sMRnumRrm5WR0cxlFG2MfID/DtzkAjdk8tjjIEtLCW+1qBIoXY2UI5JyuCDnoOe3cdO4BL9lHm7/Nk27cbOMZ9emc/jisPQrQjVNfU3ErGPUk3Ehcyf6JB97j3zxjoO2QejrF0P8A5C/iX/sJJ/6SW9AGg1mSsoFzMpc5UgLmPgDA+X2zznqfbEFszCONo5pjF5YCpKOfqdw3Z+taNZ8RYwoWkWRscuowG9wMmgDJ8S+cPDpU3MjGOSLcxC5k+dR82B6nPGOQO2QdgmYrIBcyAucggLlOnA46cd89T7Vk+J/+QBP/ANdIv/Ri1r0AMI82+iMk0+CCFjUfJnByTgfzOOOOanWzwkKm4mYx/eY7cycEfNx688Y5HpxTIy32mPEiqOcqRy3HbmrlAHO2toT4r1hRcSgtbWrBgFyo3TcDjpx3yea2xajzS/mOVKgbOMA889M559e1Z1n/AMjfq3/Xpa/+hTVsUAZlsrxQxxpdXLCJ3DNKo3SnJBzlemeRtwOBj5eKlJmKuPtMgLNuDALlRxwOOn1yeetIpYl90iud7cqMDG44HU8jofcdulOoAUPKJWfzWKlQAmBgEZ56Zyc+uOB754H4rh/+EQso5Lq5JW8QGRFG5z5b8nav8gBXe1w3xVLDwvbbZFQ/bV5YZ/gf3FAHUeKBldJ+QN/xMouvbhua0az/ABOoZdJznjUYjwSOzVoUAUr7SNM1QodQ060uzHnYbiBZNueuMg46Cqn/AAiXhv8A6F7Sf/AKP/CtiigDMtvCPhxhJv8ADWkABvlP2OM7hgc/d45yPwqb/hEPDP8A0Lukf+AUf/xNadrGEWQgtl23HLE84A4z0HHQfXvU9ADIoo4IUiijWOJFCoiDAUDgADsKjuwWtyBGsnzKdrHj7w5/Dr+FT1FcxiSAqxYDIPysVPBB6j6dO/SgCvVS+0vT9URE1CwtbtUOUFxCsgU+oyDirdFAGP8A8Il4b/6F7Sf/AACj/wAKktvCPhwtJu8NaQFBG1vscZJ/8d4rUqW2jVWkcFsuRnLEjj0HQfhQBm/8Ih4Z/wChd0j/AMAo/wD4mtW2trezt0t7WCKCCMYSKJAqqPQAcCpaKAIboFrSZRGspKEeW5wG46H2qCrNxGsttLGxYK6lSUYqeR2I5B9xVagCte6fZalAIL+zt7qINuEc8SuoPrgjryaof8Il4b/6F7Sf/AKP/CtiigDKt/CXhwzOD4b0jZtGG+xx5J5yMbfp+dWP+EQ8M/8AQu6R/wCAUf8A8TWjbxqJnky24qFI3HGBnt0zz169PQVZoAgs7K00+2W2srWG2gXJWKGMIozycAcVLIMxONob5T8p6H2p1NdQ0bKc4II4OD+YoApRjEaAoEwB8o6D2qO7s7a/t2t7y2huIGxuimQOpxyMg8VKihEVBnCjAyST+Z60tAGP/wAIl4b/AOhe0n/wCj/wp0PhLw4bgD/hG9IKbDljZx5ByMDG3vz+Va1OhjU3Aky25UKgBjjBI6joTwOeo5x1NAFD/hEPDP8A0Lukf+AUf/xNaNjp1jpkBg0+yt7SEtuMdvEsalumcADngflVmigArPhBWFAY1jIA+RTkL7CtCqEcYijWNSxVRgFmLH8SeT+NADbi3gu7d7e5hjmhkG145FDKw9CDway/+ES8N/8AQvaT/wCAUf8AhWxRQBkR+EvDhnQDw3pDKc7ibOPjj/d5q1/wiHhn/oXdI/8AAKP/AOJq/HGGnRyWymcYYgdO46H8at0AU7DSdN0pXXTtPtbNZCC4t4VjDEdM7QM1coooAoKCu8GNY/nY4U8H5jz9T1/GnUnliMuqliC7N8zFjkknqe3PTt0HFLQAVw3xVBbwvbARrJ/pq8Mf9h67muH+KcayeGLYMWA+2KflYr/A/pQB/9k=) +![md5:7a6cf169c1f9e776c88f599e1de5b658](7a6cf169c1f9e776c88f599e1de5b658.jpeg) This is simply asking for the longest circuit in the adjacency graph of this grid. Note that this grid has \(4 \cdot 9 = 36\) cells of odd degree, 9 along each side. If we color the cells with checkerboard colors so that the corners are black, then 20 of these 36 cells are white. An Eulerian circuit uses an even number of doors from each cell, so at least one door from each of these cells goes unused. No door connects two white cells, so at least 20 doors are unused, leaving at most \(2 \cdot 10 \cdot 11 - 20 = \lfloor 200 \rfloor\) doors crossed. @@ -165,7 +165,7 @@ Answer: \(\frac{4}{9}\) Solution: -![](data:image/jpeg;base64,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) +![md5:8a81ca7569630248d95c5ec1aceea0a0](8a81ca7569630248d95c5ec1aceea0a0.jpeg) First, we compute the probability that the line through two random points in a triangle \(A B C\) passes through segments \(\overline{{A B}}\) and \(\overline{{A C}}\) . We can take an affine transform of the two random points and the triangle such that \(A B C\) becomes equilateral. Since the distribution of the two points is still uniform and independent, the probability of the line intersecting any two given sides is \(\frac{1}{3}\) by symmetry. @@ -173,12 +173,12 @@ First, we compute the probability that the line through two random points in a t Next, we compute the probability that the line through two random points in a rectangle \(A B C D\) passes through opposite edges \(\overline{{A B}}\) and \(\overline{{C D}}\) . -![](data:image/jpeg;base64,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) +![md5:dfc8a60ea45461cffaf3d402c804534e](dfc8a60ea45461cffaf3d402c804534e.jpeg) If the line passes through \(\overline{{A B}}\) and \(\overline{{B C}}\) , the points must both lie in triangle \(A B C\) , whose area is half that of \(A B C D\) . Given this, the probability the line passes through those two sides is \(\frac{1}{3}\) , as computed before. Thus the probability the line passes through \(\overline{{A B}}\) and \(\overline{{B C}}\) is \(\left(\frac{1}{2}\right)^{2}\cdot \frac{1}{3} = \frac{1}{12}\) . The same goes for the other pairs of adjacent edges. By symmetry, the line is equally likely to pass through either pair of opposite edges, each with probability \(\frac{1}{2}\left(1 - 4\cdot \frac{1}{12}\right) = \frac{1}{3}\) . -![](data:image/jpeg;base64,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) +![md5:58ef8107152d81b6f3825726280a35e3](58ef8107152d81b6f3825726280a35e3.jpeg) We now return to the original problem. If the line passes through a pair of opposite edges, then both points must be in the rectangle formed by these edges, which has area \(\frac{2}{3}\) that of the hexagon. Given this, the probability the line passes through those two edges is \(\frac{1}{3}\) as computed before. Thus, the probability that the line passes through the given pair of opposite edges is \(\left(\frac{2}{3}\right)^{2}\cdot \frac{1}{3} = \frac{4}{27}\) . Hence, the probability the line passes through any of the three pairs of opposite edges is \(3\cdot \frac{4}{27} = \left[\frac{4}{9}\right]\) . diff --git a/HarvardMIT/md/en-282-2025-feb-geo-solutions.md b/HarvardMIT/md/en-282-2025-feb-geo-solutions.md index 0e339281c403d8901a3505788f7ffa3c952450ed..c31fe5e00927e2e8b712e3577d55eb3eecb47186 100644 --- a/HarvardMIT/md/en-282-2025-feb-geo-solutions.md +++ b/HarvardMIT/md/en-282-2025-feb-geo-solutions.md @@ -13,7 +13,7 @@ Answer: 26 Solution: -![](data:image/jpeg;base64,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) +![md5:a6173614c1296050c66bb92f443fe679](a6173614c1296050c66bb92f443fe679.jpeg) Extend \(DE\) to meet \(AC\) at \(X\) . Observe that \(ABEX\) and \(DFCX\) are isosceles trapezoids (both with base angles of \(60^{\circ}\) ), so we have @@ -33,7 +33,7 @@ Answer: 63 Solution: Note that the difference in heights between the two stalactites does not equal the difference in heights between the stalagmites. This tells us that the two stalactites form a pair of opposite vertices of the square, and likewise for the stalagmites. As the midpoint of the pairs of structures must then coincide, we know that it is \(\frac{16 + 36}{2} = 26\) from the ceiling due to the stalactites, and \(\frac{25 + 49}{2} = 37\) from the ground due to the stalagmites. Therefore the height of the cave is just the sum of these two values, i.e. 63. -![](data:image/jpeg;base64,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) +![md5:fd62624cfb0627a2adc3480c4bc66874](fd62624cfb0627a2adc3480c4bc66874.jpeg) 3. Point \(P\) lies inside square \(ABCD\) such that the areas of \(\triangle PAB\) , \(\triangle PBC\) , \(\triangle PCD\) , and \(\triangle PDA\) are 1, 2, 3, and 4, in some order. Compute \(PA \cdot PB \cdot PC \cdot PD\) . @@ -44,7 +44,7 @@ Answer: \(\boxed{8\sqrt{10}}\) Solution: -![](data:image/jpeg;base64,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) +![md5:f473be8f087c94b0509ca94aee145a54](f473be8f087c94b0509ca94aee145a54.jpeg) Let \(h_{1}\) , \(h_{2}\) , \(h_{3}\) , and \(h_{4}\) be the lengths of the altitudes from \(P\) to sides \(AB\) , \(BC\) , \(CD\) , and \(DA\) , respectively. Then, the problem statement implies that \(\{h_{1}, h_{2}, h_{3}, h_{4}\} = \{x, 2x, 3x, 4x\}\) for some \(x\) . Furthermore, the area of the square is \(1 + 2 + 3 + 4 = 10\) , so we have @@ -61,7 +61,7 @@ Hence either \((\{h_{1}, h_{3}\} = \{x, 4x\}\) and \(\{h_{2}, h_{4}\} = \{2x, 3x Semicircle \(S_{1}\) is inscribed in a semicircle \(S_{2}\) , which is inscribed in another semicircle \(S_{3}\) . The radii of \(S_{1}\) and \(S_{3}\) are 1 and 10, respectively, and the diameters of \(S_{1}\) and \(S_{3}\) are parallel. The endpoints of the diameter of \(S_{3}\) are \(A\) and \(B\) , and \(S_{2}\) 's arc is tangent to \(AB\) at \(C\) . Compute \(AC \cdot CB\) . -![](data:image/jpeg;base64,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) +![md5:6fc5d1b7698693176f0318294751a3ba](6fc5d1b7698693176f0318294751a3ba.jpeg) Proposed by: Karthik Venkata Vedula @@ -70,7 +70,7 @@ Answer: 20 Solution: -![](data:image/jpeg;base64,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) +![md5:663200b55e5c280cca76a457c7d2b8f7](663200b55e5c280cca76a457c7d2b8f7.jpeg) Let \(P\) , \(Q\) , and \(R\) be the midpoints of the diameters (i.e., the center of the circular arcs) of \(S_{3}\) , \(S_{2}\) , and \(S_{1}\) , respectively. Observe that if one fixes \(S_{3}\) , the location of \(S_{2}\) is uniquely determined by the angle between the diameters of \(S_{2}\) and \(S_{3}\) . The same holds for \(S_{2}\) and \(S_{1}\) . Thus, the figures \(S_{3} \cup S_{2}\) and \(S_{2} \cup S_{1}\) are similar. This gives us that the radius of \(S_{2}\) is \(\sqrt{10}\) . @@ -86,7 +86,7 @@ Answer: \(\sqrt{23} - 2\sqrt{3}\) Solution: -![](data:image/jpeg;base64,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) +![md5:bd8399251a351972a45c43c96e817f24](bd8399251a351972a45c43c96e817f24.jpeg) Let \(A^{\prime}\) be the antipode of \(A\) . As \(\angle A X A^{\prime} = 90^{\circ}\) , we have \(X\) , \(P\) , and \(A^{\prime}\) are collinear. As \(\angle B P C = 120^{\circ}\) and \(\angle B A^{\prime}C = 180^{\circ} - \angle B A C = 120^{\circ}\) , it follows that \(P\) lies on the circle with center \(A^{\prime}\) passing through \(B\) and \(C\) , so \(A^{\prime}P = \frac{B C}{\sqrt{3}} = 2\sqrt{3}\) and \(A A^{\prime} = 2A^{\prime}B = 4\sqrt{3}\) . By the Pythagorean theorem, \(X A^{\prime} = \sqrt{(4\sqrt{3})^{2} - 5^{2}} = \sqrt{23}\) , so the answer is \(X A^{\prime} - P A^{\prime} = \left[\sqrt{23} - 2\sqrt{3}\right]\) . @@ -99,7 +99,7 @@ Answer: \(\boxed{9\sqrt{15}}\) Solution: -![](data:image/jpeg;base64,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) +![md5:b89478beaacda454384b1b3adf2b03df](b89478beaacda454384b1b3adf2b03df.jpeg) Let \(O_{A}\) , \(O_{B}\) , \(O_{C}\) , and \(O_{D}\) be the circumcenters of \(\triangle B C D\) , \(\triangle C D A\) , \(\triangle D A B\) , and \(\triangle A B C\) , respectively. Note that \(O_{B}O_{C}\) is the perpendicular bisector of \(\overline{{A D}}\) . Similarly, \(O_{B}O_{D}\perp A C\) and \(O_{C}O_{D}\perp A B\) . As \(A B\parallel C D\) , we have \(O_{C}O_{D}\perp C D\) . Then, \(\triangle O_{B}O_{C}O_{D}\stackrel {\star}{\sim}\triangle A D C\) , as their corresponding sides are perpendicular. Likewise, \(\triangle O_{D}O_{A}O_{B}\stackrel {\star}{\sim}\triangle C B A\) , so \(O_{A}O_{B}O_{C}O_{D}\stackrel {\star}{\sim}B A D C\) . @@ -126,7 +126,7 @@ Answer: \(\frac{7}{18}\) Solution 1: -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFbAZQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAoqlYXxu5b2F4wklrcGEgHORtVlP4hh+tXaSdxJpq6CiiimMKKof2iV8Qf2Y8YCva/aIpM8sQ+1xj23R/8AfVSapqdpo2l3WpX0oitbaMyyP6ADt6n2qpRcbX6gW6KhtLqO+soLuEkxTxrIhPXawyP51NUgFFFFABRRRQAUVQv9b0vSyFv9Qtrd2+6kkgDN9F6n8Ko/8JHJc8aZo2pXeekjxfZ4/wA5SpI91BrWNCpJcyWnfZfe9BXRu0VS06TU5EkbUre1tySPLjgmaXA/2mKrz9BV2olHldmMKKKKkAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMdP9F8XSL0S+tA4/34mwfxKyL/3zWxWPr37h9N1AcfZrtFc/7EmYz+GXU/8AAa2KiOjaIjo2goooqyzC17/RdS0TUhwIrr7NKf8AYmGwD/v55X5VR8RedrMV9Yx6dc3VnHbyRbomj2vMylTnc4JCA9gRuPqtM+JurWOjeANUub6R1zGFgEZw5myPLI5HRsE4PABrE8D+ONE8Q+FTBouka42x2SW2SR3dGPzE/aGcDkknlwevAros6kIpbq/3b/m2LY6T4eXf234c+HZ85P8AZ8KE+pVQp/UV0tcloulatpOmR6bo2nWej2MefLW7upbx0zzjZkAfQSEVo/8ACP3FzzqWuahcA9YoHFtH+Hl4f82NL2MY/HJL01/LT8QuaN/qun6XGJNQvra1U9DPKqZ+mTzWd/wk0dxxpmmalqB7NHb+VH9d8pVSPoTVuw0HSdMkMtnp1vFMfvTBAZG+rn5j+JrRo5qMdk366fgv8w1MPd4nvOiabpiHuxe6kx9BsUH8Wo/4Rv7Tzqer6le+qed5Ef02xBcj2Ymtyij6xJfAlH0Wv37/AIhYpWGjaZpQIsNPtrbd94xRBS31I5P41doorKUpSd5O7GFFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFNkkSGNpJHVEUZLMcAfjWK/i7R2cx2dxJqMgOCmnxNcYPoWQFV/EitIUp1PgTYm0jcorC/tHX7z/jz0SO0Q/8ALTUbkBh7hI9+foWWj+x9Xu+dQ8QSqp6xafAsCn/gTb3/ACYVfsLfHJL53/K/42C5c16OGfQr2GeeOBJIWQSyOFCMRwcn0ODWZYeM7G+0+2mtYbu9nkiVnjtLZnCsRypfAQEHjlhVy38LaLBMs7WKXFwvSe7ZriQfRpCSPwNGg/6OdR0/p9lu32D/AGJMSDHsN5H/AAGofsYyTV3+H+fn1RDupp9/6/zI/tniO8/499LtbBD/AB31x5jj/tnHkH/vukOhahdkHUfEF447xWSrbRn8RmT/AMfrdoq/rDXwJL5fq7suxwvjTwtoMfg7UYl0u3lurtUtIppwZZfNkdUQ72JY4Zgevasnwrp3/CAQ6gmmwyS6TbXsiX9sMvJGCAyTp3bEbRhl7hcjkEN1mvn7Z4k8P6aOVSSXUJR/sxLsUH/gcqH/AIDRF/ofjWePomoWayqP9uJtrH8Vkj/75q4N1Yy53d2uu+n/AALmU5crVjoLe4hureO4t5UlhlUPHIjZVlIyCD3FSVyMgfwbcyXcCs/h6Zy9zAoybFicmVB/zzJ5ZR937w4yK6yORJY1kjdXRwGVlOQQehBrlZrGSauh1FFFAwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAAnAyaxZvFuiRytDFei8nXgw2KNcuD6ERg4/HFbLKGUqwBBGCD3pkMEVvEsUESRRrwqIoUD8BWkHTXxpv0dv0Yncxf7X1u8/48PD7xKekuo3Cwj6hU3t+BC0f2Xrt5/x/a8LdD/yz062VPwLybyfqAtb1FX7e3wRS+V/zv+FgsYkfhLRRIstzam/mU5El/I1yQfUbyQv4AVtIixoERQqgYAAwBS0VE6s6nxtsEkgooorMYVjt/ovi1D0S+tCp/wB+Jsj8Ssh/75rYrH8QfuIbLUB1s7uN2P8AsN+7f8Ark/hUz2v2IqbX7GxRRTZJEijaSRgqICzMegA71RZzenn7d4z1y96paJDp8f1C+a5H181Af9yneIf9Gn0jUhwLa9SOQ/7EuYvy3Oh/4DTfBqO3hq3vZVKy6i8l+4PUecxkAP0VlX8Kva5YNqehX1kh2yTQMsbf3Xx8p/A4P4V0YeSjUXNt19Ho/wADlm7tmgQCMHkVzCsfBU/c+G5W5H/QOYnr/wBcSf8Avg/7P3dvSL9dU0eyv1G0XMCS7f7pIBI/DpVt0WRGR1DIwwykZBHpUTg4txe6CMrO6LAIYAggg8gilrkbeZvBtwlrOxbw7KwSCZjn7AxPEbH/AJ5E8Kf4T8p4xjrqyOlNNXQUUUUDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKrajZrqGm3Vk5ws8TRE+mQRmrNFDV9BNXVmUdFvGv9Fs7qQYlkiXzB6OOGH4EEVm+NZXHhW6tImKzX7JYRkdQZmEZI+gYt+FWNF/0e61Sw6CG6MsY/wBiUb//AEMuPwqnrR+2+LtCsOqWwm1CQe6r5SA/UysR/uVMNUrkRl7l2bUcaQxJFGoVEUKqjoAOgp1FFbHOYfhr/R11LTDx9ivZAg/2JMSrj2Ak2/8AAa3Kw/8Ajz8beiajZfhvhb+ZWX/xytyt8RrPn/mSfz6/jcEMmhiuIJIJ40kikUo6OMqynggjuK56xuZfCl3Fpl7I8mjTMI7G7kOTbseBBIT27Ix/3Tzgt0lQ3VrBfWktrdQpNbzKUkjcZVlPUEVztXKjJxZeorltOvZ/Dt9Do2qTPLZTNs06+kOTntBKf7/91j94cH5h83U1B0ppq6CiiigYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGRN/oviu2l6Je2zQt/vxneg/JpPyqhpJ+2+Ktf1E8rE8WnxH/ZjXexH/A5WH/AKu+JWFtp0Wo8/wCgXCXBI7IDtk/8cZ6qeEIJYfC1lLOu24uw15OD1EkzGRh+BfH4UofE0YSdrxNyiiitTIw/Ev8Ao6abqY4+xXsbOf8AYkzE2fYCTd/wGtyqerWC6po97YMcC5geLd6bgRn8OtR6FftqehWN642yTQK0i/3Xx8w/A5H4VvL3qKfZ2+T1X6gaFFFFYAV76xtdTsZrK8hWa3mXa6N3H9D3z2rJ0rUbnSL+LQ9YmaYSZGn37/8ALwAM+XIf+eoH/fYGRyCBvVU1LTbXVrCSyvI98MmM4JBUg5DKRyGBwQRyCKTVy4y5WadFc5o+qXVlfJoWtSb7ogmzvCABeIOoPYSqPvDuPmHGQvR1B0J31QUUUUDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDnvGkjt4eNhExWXUp4rFcddsjAOfwj3n8KsaDcPc6FZvL/rlj8uX2dPlb/x4GqmqH7b420i06pYwTXz+zt+6j/MNN+VTaT/o+parZdAswuYx/syDJ/8AH1ko2kmc1Z++jWooorQgKw/D3+jXGr6aeBbXrSRj/YlAlz9NzOP+A1uVhy/6H41t5OiahZtCx/24m3IPxWST/vmt6PvRlDyv92v5XA3KKKKwAKKKKAKWq6XbaxYtaXSttJDpIjbXiccq6N2YHkGqmi6vcx3n9h60y/2kilobhV2pexj+NR2ccbl7dRwRWxVDV9Jg1izEEzPHIjCSCeI4kgkHR1PYj8iCQcgkUmrlwnymvRWFoeszy3L6Rq4SPVoF3ZQYS6j6ebH7dNy9VJx0IJ3ag6U7hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVe/vYtN066vpziG2heaQ+iqCT+goAwNDP2zXvEGpnlWuVsoj/ALEK4P8A5FeYVZuv9G8S2M/RbqKS2b3YfvE/QSfnTfCtnLY+F9PiuBi5eLz7j/rrIS8n/jzNTvEQ8vSvtg+9ZSpc5/2UOX/8c3D8ac9I37HHVd7s1qKAcjIoqwCsPxR+4srTUh10+8inJ9EJ8uQ/gjufwrcqtqFlHqWm3VjN/qrmF4X+jAg/zrSjNQqKT26+nX8ALNFZnh29k1Dw7YXE/wDx8GIJP7Sr8rj/AL6BrTqZwcJOL6AFFFFSAUUUUAZ2saPFq9sg817e7gbzLW6j+/BJ/eHqOxB4IJBpuha3LeSS6bqUaW+sWqgzRL9yVOgljz1Q/mp4PqdOsvWdHGqRxSwTG11G1YvaXajJjbuCP4kPRl7j0IBCaNIT5TcorH0LWzqQmtLyEWuq2uBc22cgZ6Oh/ijbBwfqDggitioOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArnPGh8/R4NLH3tUu4rQj1jJ3yj/v0kldHXNXp+3ePLG36x6bZPdOPSSVvLjP/fKTfnQhSdlc3aZNEk8EkMg3RyKVYeoIwafRVnIZnh+V5dDtllOZoQbeU+rxkox/EqTWnWTpv+j6zqtn0DOl0g9nG0/+PRsf+BVrVMPhJhsFFFFWUYeg/wCi6nrWmngR3X2mIf7Ew3E/9/BLW5WHdf6H4ysJ+iX1tJav7uh8yP8A8d86tyt8Rq1Pul/k/wAUwCiiisACiiigAooooAydZ0d78w3llMLXVbXJtrjGRz1Rx/EjYGR9CMEA1Z0PW01eGWOWE2uoWzBLu0c5aJuxB/iQ9VbuPQggXax9Z0ia4mi1PTJEt9XtlIikb7kydTFJjqh/NTyPQy0aQnbRnQUVmaLrUOs2jusb291C3l3VrJ9+CTup9R3BHBBBHWtOpOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKbJIkSF5HVEXksxwBWU3iXTGYpazPfOONtlE03PuygqPxIpOSW5LlGO7Neisf7drV1/x66THbKf476cA/wDfEe7P4sKP7L1O5/4/dalUHrHZRLCv5nc35MKXN2Que+y/r5mxRWP/AMIvo55ltDO/d55XkY/VmJNFF5dvx/4AXn2X3/8AANiiiiqLCiiigAooooAKKKKACuY8PH7ZqWu6qeRPem3iP/TOAeXj/v4JT+NbWr6jHpGi32pSjMdpA8zD1CqTj9KoeG9Pk0vw3p9nMczxwL5zf3pCMufxYk/jTRlVeljUoooqzAyb3/RvEGm3PRZ1ktH+pG9T/wCOMP8AgVa1ZfiJWGizXCAmS0ZbpQOp8tgxH4gEfjWmrK6BlIKsMgjuKhaSaJWjaFoooqyjD8WfudHTUR1064juyfRFbEn/AJDL1uVDdW0d5Zz2sw3RTRtG49VIwf51neF7mS68N2RnObiJDbzn1kjJjf8A8eU1u/eoJ9n+f/DP7wNeiiisACiiigAooooAKKKKAMXV9KuTdJrGkFI9VhXaVc4S6j6+VJ+u1uqk9wSDpaPrFvrVj9ogDxujGOaCUYkgkHVHHYj8iMEZBBqxWHqum3Vvff25oqr/AGgqhZ7cttS9jH8DHs452t26Hg1LRrCdtGdJRVLStVtdZsEvLRm2ElXR12vG44ZHX+FgeCKu1JuFFFFABRRRQAUUUUAFFFFABRRWZceIdJtpTC17HJOOsMAMsn/fCAn9KTaW4nJLdmnRWP8A2tqNz/x46LPjtJeSLAv5fM/5qKPseuXX/HzqkNoh/gsoAWH/AAOTIP8A3yKXP2RPPfZXNckKCSQAOSTWXL4k0lJDFFdC6mHBitEadgfcIDj8aaPDWmuQ14kt+45zeytMPwUnaPwArUiijhjEcUaxovRUGAPwpe8/IPffl+P+Rlf2lq1z/wAeejNEp6SX06xj67U3H8Dij+z9Yuf+PvWPJU/8s7GAJ+BZ9x/EYrYop8vdhyX3f9fIyY/DWlBxJPbG7lHIkvHacg+28nH4YrVVVRQqgKo4AAwBS0U1FLYaio7IKKKKZQUUUUAFFFFABRRRQAUUUUAFFFFAHOeMD9otNO0oddRv4omHrGhM0g+hWNl/4FW3WFOft3j6JOsemWBc+nmTvgfiFhb8H963apHPUeoUUUVRmI6q6MjAFWGCD3FZnh52/sWGByTJalrViepMbFAfxAB/GtSsqx/0fX9TtuizCO7T6kbGA/79g/8AAqh6STJe6Zq0UUVZQVhaN/ouu65p54XzkvYh6JKuD/5EjkP41u1hX/8Aofi3Sbrol3HLZP7tjzU/IJIP+BVvQ1Uod1+Wv6NfMDdooorAAooooAKKKKACiiigAooooAwdSsLrTtQfXNGi8ydgBe2QOBeIOhHYSqOh7j5Txgrt6bqVrq9hFe2UvmQSDg4wQQcFSDyGBBBB5BBFPrnr+0utE1CXW9IhaaOU51CwTrOAMebGP+eoHb+MDHUA1LRrCdtGdTRVexvrXU7GG9splmtpl3JIvQj+h9u1RXusadpxC3l9BC56I7jc30XqfwqG0tzZtLVl2isf+3ZLjjT9Jv7kHo7x+Qn5yYOPoDR5fiC6+/NY2CHtErTv/wB9NtA/75NLnXTUnnT21Nis+71zS7GXyri+hWbtCrbpD9EGWP5VX/4R2CbnULy+vz3E05VD/wAATap/EVoWlhZ2EXl2drBbp/dhjCD9KXvPyC835f1/XUz/AO2bq4/48NGvJR2kucW6fk3z/wDjtH2fX7r/AF19aWKH+G1iMrj/AIG/H/jlbFFHLfdhyN7sx/8AhG7KXm+kutQPcXcxZD/2zGE/8drTt7a3tIhFbQRQxjokaBQPwFS0U1FLZDUIrZBRRRVFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZ2v6l/Y/h/UNRC7mtrd5EX+8wB2r+JwPxoAyfDJ+1y6xqx5+26hIsZ/wCmcWIVx7Exs3/Aq36z9C07+yNBsNO3bmtrdI2b+8wAyfxOT+NaFWcsnd3CiiimSFZOo/6PrWl3fQOz2jn2cbgf++owP+BVrVmeIInk0O5eJd0sAFxGB3aMhwPxK4/Gon8JM9jTopkUqTwpLG25HUMp9QeRT6ooKw/FyldAkvVBL6fJHejHXEbBmH4oGH41uUyaJJ4ZIZVDRyKVZT3BGCK1pT9nUjPswHKwZQykFSMgjvS1i+FJXfw3awzMWmtN1nKT1LRMYyT9dufxrapVYezm4dmAUUUVABRRUF1eWtlF5t3cwwR/3pXCj8zSbsGxPRWR/wAJDbTcWFteXx7GCEhD/wADfan60GXX7rHl29lYof4pnad/++V2gf8AfRqeddNSeddNTXqrealY6eoa8vILcHp5sgXP0z1ql/Yk0/N/q19OO8cTiBP/ABzDfmxq1Z6Pp2nsXtbKCKQ9ZAg3n6t1P4mi8nsgvJ9Cr/b6z8WGn3156MsPlp/31JtBH0zRnX7rtYWCH13XD/8AsoB/Oteijlb3Ycre7OJvfD02iTPqSz32oWMshl1GzikMWScZljSLaGIxlkOS3J5YYbrdItdISzjudIgtFt50DpLbooEgPIOR1qzXNzpL4Su5dQtI3k0WZzJe2qDJtmPJmjA/h7uo/wB4c5BXIlqkbU+VPU6yimQzRXEEc0MiSRSKHR0OVZTyCD3FPoOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5zxYftLaPpI5+238bSD/pnDmY59iY1X/gVdHXNE/bvH0jdY9MsBGPTzJ3y34hYk/wC+6aJk7I3aKKKs5QooooAKCMjB6UUUAZXh0mPSRaH71lI9r/wFGIT802n8a5vRb2S/vPEt5e6/cW+n2uoPa226WNRGI1UO2SvI3luvpW29xNpus6mlvayXMlxCl1FDGyqXcDY3LEDosffvVDwNon9ieErJdWso7fUk3y3UsvlljI7F2O5SeMsQOe1RDa3YUNIl3wZfapqXhuK61ZHEzyyeU0kflvJCHPlu6gDaxXBIwPoK6CspvEemsxS1le9ccbbONpufcqCo/Eik+26zc/8AHtpUdsp/jvZxn/vhN2fxYUc8emonNPYg0r/RPEutWPRZjFfRj/fXYwH/AAKLJ/362Zp4baIyzyxxRjq7sFA/E1yep6ffx+INIur3U2AuWksnNnH5IUMpkUZJY/ejxnOcnjGTW7D4f0qGUS/Y0mmHSa4Jmcf8Cck1vXlKXLNLdL8NP0C8uiGf8JHYy8WQuL89vskJdT/wP7n/AI9Sfadcuf8AU2FtZqf4rqbe4/4AnH/j9a9FYcre7Cze7Mj+yLy4/wCP7WLpx3jtgLdPzGX/APHqntdD0uzl86Gyi87/AJ7ON8n/AH22W/WtCihQiHIgoooqygooooAKKKKACiiigDmTu8GXDzxqW8OysWmiAz9gcnl1H/PInlh/CeRxnHWo6uiujBlYZDA5BFVyAwIIBB4INc1HIfBk4RiT4blbCsf+YcxPQ/8ATEn/AL4P+z92WjeE+jOuooByMjpRUmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXMeFT9qt9R1U8nUb+WVT6xoRFGfoUjU/8AAq0vE2oSaV4Z1G9h5uI4GEA/vSnhB+LFR+NLpWnx6Vo9lp0XMdrAkKn1CqBn9KqJlVeli5RWdPr2l28pha8SSYdYYAZZP++Uyf0qL+1L+4/48tHmx2ku5BCv5fM/5rS54nNzo1qQkKCSQAOpNZX2TWbn/j41OK1U/wAFnACw/wCBvkH/AL5FA8Oac5DXaSXzdc3krSj8FJ2j8AKOaT2QXb2Q6TxDpaSGOO6FzKODHao0zA+4QHH403+0NUuf+PTRzGp/jvZljH1CruP4HFakcUcMYjiRUReiqMAfhWDrV3cajfDw/psrRSuge+uYzzbQnsD2kfBC+gy3YAlpPdj5ZPdnj/jLwp4r8WeO4NbsNThW0huI7OO7UtHHBKDhvLGSWG7gt3bI6CvSUez0xw3ifRJkdf8Al/kka+t8+u4/NH/wJVA9a6HUtMji8My2OnwrELeEG2jQYCtHhkA/FRWja3Ed3aQ3MRzHMiyKfUEZFLlV7MG03ZrYS0uLa6tY5rOaKa3cZjeFgyEexHFTVhXPhSwa4e706SbSb1zuaexYIHPq8ZBR/qyk+4qL7f4h0jjULBNVth/y86cNkoHq0LHn6oxJ/u1ZVuxY8WRO3hu6niUtNZ7byMDqWiYSYH124/GteKVJoUljYMjqGVh3B5Bqhp2taXrkcq2d1HMyfLNAwKyR57OjYZfoQKq+EmZfD8Vk5JksHeybPXETFVP4qFP410fFQ9H+a/4H4i6m5RRRWABRRRQAUUUUAFFFFABRRRQAUUUUAFNkjSWNo5EV0cFWVhkEHqCKdRQBzdrM/hC5jsrl2bQJmCWs7nJsmJwInP8AzzJ4Vj0+6exrrKpzwQ3VvJb3ESSwyqUkjdcqynggjuKwbC6m8MXkOlX8ry6VMwjsLyRsmJj0glJ/JGPX7p5wWho3hO+jOqooopGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFIxCqWPQDJrJ/tt5+LDS765/23j8hPzkwSPoDScktyXJLc16KyNmv3P35rGwQ9o1ad/wDvo7QP++TR/wAI/DNzf3l7fHuJpiqH/gCbVP4g0uZvZC5m9kWLvW9MspfKuL2FZu0IbdIfogyT+VV/7Yurj/jw0e8lB6SXAFun4hvn/wDHav2ljaWEfl2drDbp/dijCD9KsUWk+oWk92cV4hj1jUb7RtKubi1t0ubrz3jtlLsiwjzA29uDiQRDGzv7YOv/AMI9Zy83slzfnuLqYsh/4AMJ/wCO1BEft3jy+m6x6bZx2qH0klPmSD/vlYPzrdqlBddTCpFOWupFBbQWsQit4Y4Yx0SNQoH4CpaKKskKKKq6jqFtpWnzX12+yCJcsQMk9gAOpJOAAOSSBTGVNd1Z9Nt4obSJZ9Su28q0gJwGbGSzeiKOWPpx1IBk0XSU0ixMRlae5lcy3Ny4w00p6sfToAB2AAHAqpoWn3LTy63qqbdRul2rDnItIc5EQPr3Yjq3sq1uUgCsnw/+6sJbI9bKeSAD0QHcn/jjJWtWTD/o3ie5i6LeW6zqPV0Oxz+TRVMtGmQ9Gma1FFFWUZuqaBpmsFHvLVWnj/1VxGxjmj/3ZFIZfwNcvZ2+veHvEuo2VhNHqtvPHHe+Xev5czH/AFbbZFG0kBE4Zedwy2ck91WFrP8AomvaHqA4UyvZSn/ZlXI/8fjjH41vQ1cod0/w1/Sw7jrTxVp810lneCbTL9zhba+Xy2c+iNkpJ/wBjW3UF3ZWuoWr217bQ3Nu4w0UyB1b6g8Vif8ACOXmmfN4f1WS2Qf8uV5m4t/oMnen/AWwP7prnDQ6Kiud/wCEnl075fEOmy6eB1u4iZ7U+5cAFB/vqo9zW9b3EF3Ak9tNHNC4ykkbBlYeoI4NAWJKKKKYgooooAKKKKACiiigAooooAKhvLS3v7OW0u4Umt5lKSRuMhge1TUUDMDTb640K+h0XVZnmtpjs06/kOS/pDKf+egHRv4wP7wOenrOv7C11OxlsryIS28owyn9CD1BB5BHIIzWZpOpXWmX8eh6zMZXfIsL5+PtSgZ2P2EoHX+8BuH8QENG8J30Z0lFFFI0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKxvFl5LY+FdQltzi5eLyLc/9NZCI4//AB5loAo+ET9p0qfVDydTu5bsH1jJ2xH/AL9JHW/UFjZxafp9tZQDENvEsUY9FUAD9BU9Wcjd3cKKKKYgJABJOAO9czYg+KNUj1aQZ0i0cnT0PS4kHBuD/sjkJ+Ld1wuqO3iPUpNBt2I0+DH9qTKcbsjIt1PqwwW9FIHVsjo0RI41jjVVRQAqqMAAdhSHsOooopiCsnWP3F3pl90EVyIXP+xKNmP++zH+Va1UdZtHvtGu7ePiV4j5R9HHKn8CBUzV46CktC9RVexu0v8AT7a8j+5PEsg+hGasU076jTuFY/im3kufDV75C7riFBcwD1kiIkT/AMeUVsUVpTm4TU10dwIrW4jvLSG5hbdFNGsiH1UjI/nUtYXhP9zozacfvadcSWePRFb93/5DKH8a3adaChUcVsgCsG48KWQne60uWbSLtzuaWxIVXPq8ZBR/qVz7it6ishnO/wBo+INJ41LT11O2H/L1poxIB6tAxz/3wzE/3RWnpmt6brKO1heRzNGcSR8rJGfR0OGU+xAq/WZqfh/TNXdJbu2H2mMYjuYmMc0f+7IpDD6ZoA06K537N4k0jm1uotatR/yxuyIbgD2kUbW+jKPdqsWXinTrm6SyufO06/bhbS+TynY/7B+7J/wAtQFjaooopiCiiigAooooAKKKKACqmpaba6tYyWd2haJ8EFTtZGByGUjlWBwQRyCKt0UDMbR9VurW+Gha1IGvdpa1u8bVvYx1PoJAPvL/AMCHGQOhrK1XSrbWLE2tzvXDB45YzteFx910PZge/wDSqui6vc/azouslF1SNS0cqjal5GOPMQdiONy/wk+hBqGjeE76M36KKKRoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXOeIj9r1vQNLHIa4e9lHqkK8f+RHiP4V0dc1aH7b421a66x2MENins5HmyfmHh/wC+aa3Jm7RN2iiirOUKxde1O4heHStLKnVbwHyywytvGPvTOPRcjA/iYgepFvWNVh0bT2upUeVywjhgj+/NI3Coo9Sfy5J4BqtoOlTWSTX2oOkuq3pD3Mi/dQD7sSf7CgkD1JLHkmkMt6Vplvo+nRWVsGKJks7nLyOTlnY92JJJPqau0UUwCiiigQUUUUAZOg/uYLuxPW0upIwP9hv3ifkrgfhWtWSv+jeKZF6Le2ocf78TYP4kSL/3zWtUQ2t2JhtbsFFFFWUYVp/ofjPUbfol9bR3ae7p+7k/8d8mt2sLXv8ARdU0TUhwI7o2sp/2JhtH/kQRVu1vW95Rn3X5aflYAooorAAooooAKr3tjaajava31rDc27/eimQOp/A1YooGc7/wj19pnzaBqskMY/5cr7NxB9FJO9PwYgf3aP8AhKG0/wCTxDp8umY/5elPnWp9/MAyg/31WuiopBcjhniuYUmglSWJxlXRgysPUEdakrBm8J2aTPc6TNPo90x3M9kQI3Pq8RBRvrjPuKj/ALT17SeNU01dQtx/y96Yp3gerQMS3/fDOfYUBY6KiqOmazp2sRNJp95FPsOJFU4eM+jKeVPsQDV6mAUUUUCCiiigArP1fSYdXtFikd4ZomElvcRcSQSDo6n17Y6EEg5BIrQopDMvQ9ZmuJ5NK1VUh1e3XcwThLiPoJY8/wAJ7jqp4PYncrF1jSE1WCMrK1te27eZa3UY+eF/X3B6FTwRxS6HrT3zS2GoRLbavagefCp+V1PSWMnqjY+oOQeRUtHRCfMbNFFFIsKKKKACiiigAooooAKKKKACiiigAooooAQkKCSQAOSTXNeD8zaAuosDv1KaS+567ZGLRj8I9g/CrPjGeSHwrexwMVuLsLZwsOoeZhEp/Avn8K0YII7a3ighULFEgRFHYAYAqomVV9CSo554ra3knnkWOGJS7u5wFUDJJPYVJXMT/wDFV6q1oOdDsJcXB7Xc6n/V+6IfverAL/CwLMUSaPBLreoL4ivY2SJVK6ZbOMGOM9ZWHZ3H4quBwS1dHRRQAUUUUxBRRRQAUUUUAZOt/uH0++H/AC73SK5/2JMxn8Mup/4DWtVTVLP+0NKu7QHa00TIrf3WI4P4HBo0y8/tDS7W8xgzRK5X0JHI/A8VC0kyVpIt0UUVZRl+JLKS/wDDl/bwf8fHlF4PaVfmQ/8AfQFW9PvY9R021vof9VcwpMn0YAj+dWawvCv7iwutMPXT7yW3A9EJ8yMf9+3QfhW696g12d/v0f5IDdooorAAooooAKKKKACiiigAooooAy9T8PaZq0qz3NttukGI7qFjFMn0kUhgPbOKo+R4k0j/AFE8Wt2o/wCWdziG5A9nA2P9Cq+7V0VFIdzGsfFGnXd0tlMZbC/bpZ3qeVI3+7n5X+qFhWzVa+0+z1O1a1v7WG5gbrHMgdT+BrG/sDUdL+bQdVkWIf8ALlqBaeH6K5PmJ+bAf3aA0Oiornh4p+wHZ4hsJdKPT7ST5tqf+2oHyj/fCVvRSxzxLLDIskbjKuhyGHqCKAsPooopiCsvWdI/tJYbi2m+y6lakta3QGdhPVWH8SNjDL39iARqUUhp2KOh61/aiS29zD9l1O1IW6tS2dpPRlP8SNgkN9QcEEDWrB1nSJLx4b6wmW21a1B+zzkZVgescgH3kbAyOxwRyBVrRNaj1i3kDRNbX1u3l3do5y0L/Xup6qw4I/ECWrHRCfMalFFFIsKKKKACiiigAooooAKKKKACiiigDmfEE8Vx4o8PaW8qLh5b91LAbhGuxR/31KGH+57VvVxlo+l674+8Q/bDZXBt0g0+CGQqxO0GSQhT/tShT/uVNrdzceFktl0mRrue8lEFtpc7lt7HqUflkVRlmzlQB24oUn8hzoxbs3aVuq0fz/4FvMu65e3N5eJ4f0uVo7uZN91cp1tICcbh/ttghR7Fui4OxY2VtptjDZWcSxW8CBI0XsB/nrVTQ9IGk2biWX7Re3D+dd3JGDNIRycdlAACjsABWnVnGFFFFMQUUUUAFFFFABRRRQAVk6J+4OoWJ/5drpyo/wBiTEg/AbyP+A1rVkt/o3ipT0S9tSp/34myPxIkP/fNRLRpky0aZrUUUVZQVhQ/6H42uYuiahZrMo/24m2Of++ZIv8Avmt2sLxF/o11o+pjgW16sUh/6ZzAxflvaM/8BrfD6ycP5k1+q/FIGbtFFFYAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUABAIwRkGsCXwnaQytcaNPNo9wx3N9jx5Tn/aiIKH3OA3vW/RSGc7/AGrrmk8atpgvrcf8vmlqWIHq0BJYf8AL/StXTdY07WIWl0+8iuFU7XCN8yH0Zeqn2IBq7WXqXh3TNVmW5ntzHeIMJd27mKZB6B1wcex4PcUAalFc75XiXSP9VLFrlqP4JtsF0B7MB5bn2IT61asPE2m310LJ3ksr8/8ALneJ5Up/3QeHHupI96AsbFY+saTPNcR6ppbpDq1uu1GfhJ06mKTH8J7Hqp5HcHYooBO2qK2jaxBrNm0saPDPE3l3FtLxJBIOqsPxBBHBBBGQa0a53VtMuUu11nR9ianEm142O1LuMc+W57Hrtb+En0JBv6Dr1h4j0xb7T5dybikiH70TjqjDsR+vBGQQah6HTB8yuadFFFBQUUUUAFFFFABRRRQAVHcTxWttLcTuI4YkLu56KoGSfyqSuV+Ik7r4OubCGVY7jVJI9NiLeszhG/JC5/Ck9EVFc0kjH0D+zrP4ajWfEUUCx3fmardMy5w0zmRcd92GVRjnIAFXPB2i3mW17WRN9vnQpa287bmsrYnKxknkueCxPPAH8NVdMhTxjq0F+qBfDOkybdOiA+W7mT5fO/3E6IO5y3YV3FOMVuRWqyScL7u/p5f5/cFFFFaHIFFFFABRRRQAUUUUAFFFFABWTr37mKzvh1tLqN2P+w37tvwCuT+Fa1V9QtFv9OubNzhZ4mjJ9MjGamSutBSV0WKKpaPdtfaPaXMgxK8S+YPRxww/AgirtNO6uNO6uFZ2vWDapoF/ZRnEs0DLG3918ZU/g2D+FaNFXCbhJSW6Ap6Rfrqmj2WoIMC5gSXHpuAOPwq5WF4Y/wBHj1LTDx9hvpFQf9M5MSp+AEm3/gNbtXXgoVGo7dPTp+ABRRRWQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVWv8ATrLVLVra/tIbqA8mOZAwz689/erNFAznf7C1PS/m0PVXMQ/5ctRLTx/RZM+Yn4lgOy0o8VJYkR+ILKXSW6ee58y1b6TDhf8AgYQ+1dDSEBgQQCDwQe9ILmLfSDWbtNLt5c2hjE13LG33oz92MEf3sHP+yD/eFZOvW82j65b6l4atvM1VosXVhHhY7u3QYG7srr0RuvO05XOLc/gu1gnku9Au59Du3O5/smDBIfV4W+Q/UBT71n2+oa74bvLqfXdHbUI7hwW1LSQZNqjhQ0B+dQBk/KX5J9azaZ3U6kWklslt3b3b/rol5nW6Jrdl4g0uPULCQtE5Ksjja8Tjhkdf4WB4IrRrzz7VbyXcvi3wVcw6hux/amnQOM3Kj+IL1SZR0BA3AYPau20nVrLXNLg1HT51mtp1yjDj2II7EHIIPIIoTFJdV/wxdooopkhRRRQAUUVzXxBvTp/gLWLhA5m8gxwbGIbzXISPGOc7mWgDpa+fvijqfi3WfiZZ+F10y4l0ZLiJ4YYU2/aFZNrsZcHaMO6k9F6npmu71aD7Ppuk6Nolxfwa7I8KRXtw00SnYQZGbzMCUlQ3yDcTnOMDI9GoGm07o5eC58QWtvFb2/ha2ihiQJHGmoKFVQMAAbOABUn9oeJf+hbh/wDBiv8A8RXSUU7sz9nE5v8AtDxL/wBC3D/4MV/+Io/tDxL/ANC3D/4MV/8AiK6Sii7D2cTm/wC0PEv/AELcP/gxX/4ij+0PEv8A0LcP/gxX/wCIrpKKLsPZxOb/ALQ8S/8AQtw/+DFf/iKP7Q8S/wDQtw/+DFf/AIiukoouw9nE5v8AtDxL/wBC3D/4MV/+Io/tDxL/ANC3D/4MV/8AiK6Sii7D2cTm/wC0PEv/AELcP/gxX/4ij+0PEv8A0LcP/gxX/wCIrpK5b4g395YeFHOmXUlvqU9xDbWjx4yZJJAg4IIIwSce1F2Hs4kv9oeJf+hbh/8ABiv/AMRUbar4iEnlDw7bGbaXEf8AaabiPXG3pnvUHi26vPCXhyXXbfUrqYWTRtLBcbGWdC6qy/dyrYbggjnGQRxWvZaS6eJtS1m52mSWOO1tsHOyBRuP0Jdmz7KtF2Hs4nj/AMM/GXj3UPE2q6bd6L51vGZJngdfswtZGfO0MQc5Jb5Tk9wcCvVP7Q8S/wDQtw/+DFf/AIirs3+i+KraTol7bNCx/wBuM7kH5NJ+Va9TGXTsSoReltjl5dW8QQ483QLaPPTdqaDP/jtLHqviGYExeH7ZwOCV1NT/AOy1R8bwQ6r4g8JaJJEknnag15JuUHEUCFiPoXMYpPGEcOl6v4Wn0y3jh1G41aK3JhQK0luVYyhsdVCjPPQgGquyvZxPOp/GHjyz+NLWEWh7IrtoomssZWWNRnzPNx2DHkcDgEcV6v8A2h4l/wChbh/8GK//ABFTeJ/9GGl6oOPsV9GXP/TOTMLZ9h5gb/gNb1azT5Yzve/6dPusHJHsc3/aHiX/AKFuH/wYr/8AEUf2h4l/6FuH/wAGK/8AxFdJRWV2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nN/2h4l/6FuH/AMGK/wDxFH9oeJf+hbh/8GK//EV0lFF2Hs4nn2saBe6zci8l8Jx22oqMJf2eqiC4XjH31UE/Q5HtXmXie5+JHw71M3dg0v2fVJNzlYI598gIHz7V2h2GAWCqXx3IzX0dRSt1NFJpct9Dmp/FEuk+DdO1XVrJ11O7jhjWwj4eS5kAxEuehznr0APpVgw+II9OkvJ76D7ciFxaQxDyCQM7CxG8+m4Eeu3tVHxjp082peHNWjgkuLfS74zXEMSlm2NGybwo5YqSDgc4zjNa7aobwpDpgeR2Yb5WiYRxrn5skgZbHAUZOSMjGaBE2iy3s+h2E2oqq3ssCPOiDAVyASoHoCcfhRV6igArmfFukatrUulQ2cdkbO1vory48+4dGk8sllQAIwxu2HJPbpXTUUAcxqOhal4g1XSpdTNra2Om3S3qxW8rSvNMoITLFV2qNxOADn2rp6KKACiiigAooooAKKKKACiiigAooooAK5DxRa6nqPibw8ItIubjTNPunvLiRJIRucRlYgAzgnDOSeO1dfRQBzOp6Xd+Kp7W2v7RrPSLedLiaGV1aS6dDlFIQlVQNtY8kkjGAOT01FFAGT4gBjsoL1QS1lcxz8f3c7X/APHGetaiilbW4krNs5qfw7qcnjH/AISBNUtB5dm1pBbvZMwjVnDFs+aMsdqjoOBV600PGqjVtRuPtl+iGKFgmyOBDjcETJwTgZJJJxjIHFa9FMZR1nTxq2iX2nsdv2mB4g390kEA/geabod8+p6DYXsqFJZoEeRCMFXI+YfgcitCitOf93yPvf8Az+/T7hW1CiiisxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/9k=) +![md5:0f8d285c7902e9de79a6c8453e3fe343](0f8d285c7902e9de79a6c8453e3fe343.jpeg) Let the internal and external bisectors of \(\angle B A C\) meet \(B C\) at \(D\) and \(E\) . Similarly, let the internal and external bisectors of \(\angle B P C\) meet \(B C\) at \(D^{\prime}\) and \(E^{\prime}\) . The angle condition implies that \(A D\parallel P D^{\prime}\) and \(A E\parallel P E^{\prime}\) . Thus, triangles \(A D E\) and \(P D^{\prime}E^{\prime}\) are homothetic. Hence, the requested ratio is \(\frac{D E}{D^{\prime}E^{\prime}}\) . Repeated applications of the angle bisector theorem yield @@ -138,7 +138,7 @@ so \(D E = 24\) and \(D^{\prime}E^{\prime} = 28 / 3\) . Hence, the answer is \(\ Solution 2: -![](data:image/jpeg;base64,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) +![md5:81c307a05321f49518a124cd36d44fda](81c307a05321f49518a124cd36d44fda.jpeg) Let \(D = A P\cap B C\) \(E = B P\cap A C\) and \(F = C P\cap A B\) . Then, \(B C E F\) is cyclic, so by Power of a Point, \(\frac{A E}{A F} = \frac{A B}{A C} = \frac{3}{4}\) . Let \(A E = 3x\) and \(A F = 4x\) . Then, @@ -175,7 +175,7 @@ Answer: \(\sqrt{6}\) Solution: -![](data:image/jpeg;base64,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) +![md5:99272909b8e7b4116af394fdccc3eb87](99272909b8e7b4116af394fdccc3eb87.jpeg) Let \(D^{\prime}\) be the reflection of \(D\) across \(M\) . Then, \(A D E D^{\prime}\) is a parallelogram. Hence, \(D^{\prime}A = 2\) , so \(D^{\prime}B = 6\) . Thus, if \(D^{\prime}M = M D = x\) , then Power of a Point at \(D^{\prime}\) gives \(x\cdot (2x) = 2\cdot 6\) , so \(x = \sqrt{6}\) . @@ -197,12 +197,12 @@ Let \(P_{1}\) and \(P_{2}\) be the projections of \(O_{1}\) and \(O_{2}\) onto s Solving this, we get \(x = 7 + 2\sqrt{37}\) , which implies that \(A B = 2x = \boxed{14 + 4\sqrt{37}}\) . (The condition that \(\triangle A X D\) and \(\triangle B X C\) are acute rules out \(14 - 4\sqrt{37}\) .) -![](data:image/jpeg;base64,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) +![md5:73c875021da9d1a19da0890bf095a65e](73c875021da9d1a19da0890bf095a65e.jpeg) Solution 2: -![](data:image/jpeg;base64,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) +![md5:666d9c083cfaee5f174d61d41f0513fe](666d9c083cfaee5f174d61d41f0513fe.jpeg) Let \(P\) be the antipode of \(A\) in \(\odot (AXD)\) and \(Q\) be the antipode of \(B\) in \(\odot (BXC)\) . From \(\angle PDA = \angle QCB = 90^{\circ}\) , we get that \(P\) and \(Q\) lie on \(CD\) . Moreover, from \(\angle PXA = 90^{\circ}\) , we get that \(P \in BX\) , and similarly \(Q \in AX\) . @@ -226,7 +226,7 @@ from which it follows that \(t_{a} = 5\) , \(t_{b} = 6\) , and \(t_{c} = 7\) . Now, a translation of a plane can be written in one of three equivalent forms: it can be viewed as a translation in the \(x\) direction by a distance \(d_{x}\) , a translation in the \(y\) direction by a distance \(d_{y}\) , or a translation in the \(z\) direction by a distance \(d_{z}\) (with coordinate axes chosen as shown below). -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHRAn8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArM1LxFomjTJFqmr2FlK67kS5uEjLDpkAnpUWta09lJFYWEK3WrXIJggJwqKODJIR91B69SeBkml0bR00oyPLc/atQuf3l1cuuHlYdMDPyoucBRwM+uSQCt/wAJ34R/6GfRv/A6P/Gj/hO/CP8A0M+jf+B0f+NdBRQBz/8AwnfhH/oZ9G/8Do/8aP8AhO/CP/Qz6N/4HR/410FFAHP/APCd+Ef+hn0b/wADo/8AGj/hO/CP/Qz6N/4HR/410FFAHP8A/Cd+Ef8AoZ9G/wDA6P8Axo/4Tvwj/wBDPo3/AIHR/wCNdBRQBz//AAnfhH/oZ9G/8Do/8aP+E78I/wDQz6N/4HR/410FFAHP/wDCd+Ef+hn0b/wOj/xo/wCE78I/9DPo3/gdH/jXQUUAc/8A8J34R/6GfRv/AAOj/wAaP+E78I/9DPo3/gdH/jXQUUAc/wD8J34R/wChn0b/AMDo/wDGj/hO/CP/AEM+jf8AgdH/AI10FFAHP/8ACd+Ef+hn0b/wOj/xo/4Tvwj/ANDPo3/gdH/jXQUUAc//AMJ34R/6GfRv/A6P/Gj/AITvwj/0M+jf+B0f+NdBRQBz/wDwnfhH/oZ9G/8AA6P/ABo/4Tvwj/0M+jf+B0f+NdBRQBz/APwnfhH/AKGfRv8AwOj/AMaP+E78I/8AQz6N/wCB0f8AjXQUUAc//wAJ34R/6GfRv/A6P/Gj/hO/CP8A0M+jf+B0f+NdBRQBz/8AwnfhH/oZ9G/8Do/8aP8AhO/CP/Qz6N/4HR/410FFAHP/APCd+Ef+hn0b/wADo/8AGj/hO/CP/Qz6N/4HR/410FFAHP8A/Cd+Ef8AoZ9G/wDA6P8Axo/4Tvwj/wBDPo3/AIHR/wCNdBRQBz//AAnfhH/oZ9G/8Do/8aP+E78I/wDQz6N/4HR/410FFAHP/wDCd+Ef+hn0b/wOj/xo/wCE78I/9DPo3/gdH/jXQUUAc/8A8J34R/6GfRv/AAOj/wAaP+E78I/9DPo3/gdH/jXQUUAc/wD8J34R/wChn0b/AMDo/wDGj/hO/CP/AEM+jf8AgdH/AI10FFAHP/8ACd+Ef+hn0b/wOj/xo/4Tvwj/ANDPo3/gdH/jXQUUAc//AMJ34R/6GfRv/A6P/Gj/AITvwj/0M+jf+B0f+NdBRQBz/wDwnfhH/oZ9G/8AA6P/ABo/4Tvwj/0M+jf+B0f+NdBRQBz/APwnfhH/AKGfRv8AwOj/AMaP+E78I/8AQz6N/wCB0f8AjXQUUAc//wAJ34R/6GfRv/A6P/Gj/hO/CP8A0M+jf+B0f+NdBRQBz/8AwnfhH/oZ9G/8Do/8a0NM13SNbEp0rVLO+8rHmfZp1k2ZzjO0nGcH8qpavq9y95/Yui7H1N1DSzON0dnGf439WPO1OpPoATWd4X0uDSPFWu20DSSEwWjyzStuklc+budj3J/IdBgACgDrqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKx9a1p7KSKwsIVutWuQTBAThUUcGSQj7qD16k8DJNGta09lJFYWEK3WrXIJggJwqKODJIR91B69SeBkmpNF0VNKjlllma61C5Ie6u3GGlYdAB/Co6Ko4A9SSSAGi6KmlRyyyzNdahckPdXbjDSsOgA/hUdFUcAepJJ0t370LvX7pO3v9fpTqbu/ehd6/dJ29/r9KAHUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVhavq9y95/Yui7H1N1DSzON0dnGf439WPO1OpPoATRq+r3L3n9i6LsfU3UNLM43R2cZ/jf1Y87U6k+gBNXtI0i20az+z2+92djJNPKd0k0h6u57k/kOAMAAUAGkaRbaNZ/Z7fe7OxkmnlO6SaQ9Xc9yfyHAGAAKztN/wCR31//AK9rP/2rXQVz+m/8jvr/AP17Wf8A7VoA6CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKx9a1p7KSKwsIVutWuQTBAThUUcGSQj7qD16k8DJNGta09lJFYWEK3WrXIJggJwqKODJIR91B69SeBkmpNF0VNKjlllma61C5Ie6u3GGlYdAB/Co6Ko4A9SSSAGi6KmlRyyyzNdahckPdXbjDSsOgA/hUdFUcAepJJ1KKKACm7v3oXev3Sdvf6/SnU3d+9C71+6Tt7/X6UAOooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsLV9XuXvP7F0XY+puoaWZxujs4z/G/qx52p1J9ACaNX1e5e8/sXRdj6m6hpZnG6OzjP8AG/qx52p1J9ACavaRpFto1n9nt97s7GSaeU7pJpD1dz3J/IcAYAAoANI0i20az+z2+92djJNPKd0k0h6u57k/kOAMAAVfoooAK5/Tf+R31/8A69rP/wBq10Fc/pv/ACO+v/8AXtZ/+1aAOgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKx9a1p7KSKwsIVutWuQTBAThUUcGSQj7qD16k8DJNGta09lJFYWEK3WrXIJggJwqKODJIR91B69SeBkmpNF0VNKjlllma61C5Ie6u3GGlYdAB/Co6Ko4A9SSSAGi6KmlRyyyzNdahckPdXbjDSsOgA/hUdFUcAepJJ1KKKACiiigApu796F3r90nb3+v0p1N3fvQu9fuk7e/1+lADqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsLV9XuXvP7F0XY+puoaWZxujs4z/G/qx52p1J9ACaNX1e5e8/sXRdj6m6hpZnG6OzjP8b+rHnanUn0AJq9pGkW2jWf2e33uzsZJp5TukmkPV3Pcn8hwBgACgA0jSLbRrP7Pb73Z2Mk08p3STSHq7nuT+Q4AwABV+iigAooooAK5/Tf+R31/wD69rP/ANq10Fc/pv8AyO+v/wDXtZ/+1aAOgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArH1rWnspIrCwhW61a5BMEBOFRRwZJCPuoPXqTwMk0a1rT2UkVhYQrdatcgmCAnCoo4MkhH3UHr1J4GSak0XRU0qOWWWZrrULkh7q7cYaVh0AH8KjoqjgD1JJIAaLoqaVHLLLM11qFyQ91duMNKw6AD+FR0VRwB6kknUoooAKKKKACiiigApu796F3r90nb3+v0p1N3fvQu9fuk7e/1+lADqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKwtX1e5e8/sXRdj6m6hpZnG6OzjP8b+rHnanUn0AJo1fV7l7z+xdF2PqbqGlmcbo7OM/xv6sedqdSfQAmr2kaRbaNZ/Z7fe7OxkmnlO6SaQ9Xc9yfyHAGAAKADSNIttGs/s9vvdnYyTTyndJNIerue5P5DgDAAFX6KKACiiigAooooAK5/Tf+R31//r2s/wD2rXQVz+m/8jvr/wD17Wf/ALVoA6CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKx9a1p7KSKwsIVutWuQTBAThUUcGSQj7qD16k8DJNGta09lJFYWEK3WrXIJggJwqKODJIR91B69SeBkmpNF0VNKjlllma61C5Ie6u3GGlYdAB/Co6Ko4A9SSSAGi6KmlRyyyzNdahckPdXbjDSsOgA/hUdFUcAepJJ1KKKACiiigAooooAKKKKACm7v3oXev3Sdvf6/SnU3d+9C71+6Tt7/AF+lADqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArC1fV7l7z+xdF2PqbqGlmcbo7OM/wAb+rHnanUn0AJo1fV7l7z+xdF2PqbqGlmcbo7OM/xv6sedqdSfQAmr2kaRbaNZ/Z7fe7OxkmnlO6SaQ9Xc9yfyHAGAAKADSNIttGs/s9vvdnYyTTyndJNIerue5P5DgDAAFX6KKACiiigAooooAKKKKACuf03/AJHfX/8Ar2s//atdBXP6b/yO+v8A/XtZ/wDtWgDoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsfWtaeykisLCFbrVrkEwQE4VFHBkkI+6g9epPAyTRrWtPZSRWFhCt1q1yCYICcKijgySEfdQevUngZJqTRdFTSo5ZZZmutQuSHurtxhpWHQAfwqOiqOAPUkkgBouippUcssszXWoXJD3V24w0rDoAP4VHRVHAHqSSdSiigAooooAKKKKACiiigAooooAKbu/ehd6/dJ29/r9KdTd370LvX7pO3v9fpQA6iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArC1fV7l7z+xdF2PqbqGlmcbo7OM/xv6sedqdSfQAmjV9XuXvP7F0XY+puoaWZxujs4z/ABv6sedqdSfQAmr2kaRbaNZ/Z7fe7OxkmnlO6SaQ9Xc9yfyHAGAAKADSNIttGs/s9vvdnYyTTyndJNIerue5P5DgDAAFX6KKACiiigAooooAKKKKACiiigArn9N/5HfX/wDr2s//AGrXQVz+m/8AI76//wBe1n/7VoA6CiiigAooooAKKKKACiiigAooooAKKKKACsfWtaeykisLCFbrVrkEwQE4VFHBkkI+6g9epPAyTRrWtPZSRWFhCt1q1yCYICcKijgySEfdQevUngZJqTRdFTSo5ZZZmutQuSHurtxhpWHQAfwqOiqOAPUkkgBouippUcssszXWoXJD3V24w0rDoAP4VHRVHAHqSSdSiigAooooAKKKKACiiigAooooAKKKKACm7v3oXev3Sdvf6/SnU3d+9C71+6Tt7/X6UAOooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArC1fV7l7z+xdF2PqbqGlmcbo7OM/xv6sedqdSfQAmjV9XuXvP7F0XY+puoaWZxujs4z/G/qx52p1J9ACavaRpFto1n9nt97s7GSaeU7pJpD1dz3J/IcAYAAoANI0i20az+z2+92djJNPKd0k0h6u57k/kOAMAAVfoooAKKKKACiiigAooooAKKKKACiiigArn9N/5HfX/APr2s/8A2rXQVz+m/wDI76//ANe1n/7VoA6CiiigAooooAKKKKACsqz1C5uPEOo2LeUba1jiIZVIbe+SVPJBwAD0H3qq3sj3viuDTZTixgtDdyqekrltqhvUDBOPXFVvClxaR2F5ehsfbbt50UAsfL3GOMDH+zHwB0FZOd5JHdHD8tGU3q2lbyu9PwT+86iiqVlqtnqDlbaRnIUtzGyjAODyR2II/A1bd0ijaSRgqKCzMTgADvWiaeqOOUJRfLJWY6sPXdeksZYtN02FbvWbkZhgJ+WNe8khHRB+ZPA9ql54xtbm3t4fDrxalqN4D5EakhYwDgyS91Ufmeg9tDQdBTR4pZZZmutRuTvu7uQfNK3oPRR0CjgCocubSH3nWqCoLnrrXpF6N+vVJfe9l1a4nwtdeJYzfCRdKGteb/xMftQk87d/D048vH3Nvy49810X27xd6aJ+Uv8AjV/X9AOpNFf2Eq2ur2wIguCMq69THIB95D+YPI5qhpWqjUVlhmha1v7YhLq0c5aJuxB/iU9Qw4I98gaHEH27xd6aJ+Uv+NH27xd6aJ+Uv+NaNFAGd9u8XemiflL/AI0fbvF3pon5S/41o0UAZ327xd6aJ+Uv+NH27xd6aJ+Uv+NaNFAGd9u8XemiflL/AI0fbvF3pon5S/41o0UAZ327xd6aJ+Uv+NH27xd6aJ+Uv+NaNFAGd9u8XemiflL/AI0fbvF3pon5S/41o0UAZ327xd6aJ+Uv+NN/trxNZyh7rT7C9hwS8VlIyTAeqh/lb6Er9e1adNz+8C7h0zt7/WgCzpPiDTda3pZ3H7+L/W20qmOaL/eRsMPrjB7ZrTrl9R0ex1Ty2uof30XMU8bFJYj6o64ZfwNQRXniHReG/wCJ5ZD12xXaD68JJ+Ow+5NAHX0VmaT4g03Wt6Wdx+/i/wBbbSqY5ov95Gww+uMHtmtOgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArC1fV7l7z+xdF2PqbqGlmcbo7OM/xv6sedqdSfQAmjV9XuXvP7F0XY+puoaWZxujs4z/G/qx52p1J9ACavaRpFto1n9nt97s7GSaeU7pJpD1dz3J/IcAYAAoANI0i20az+z2+92djJNPKd0k0h6u57k/kOAMAAVfoooAKKKKACiiigAooooAKKKKACiiigAooooAK5/Tf+R31//r2s/wD2rXQVz+m/8jvr/wD17Wf/ALVoA6CiiigAooooAKKKKAIZrS2uHV5oI5GUEKXUEgHqP0H5CoXsjFHjTzDaMZN7kQgh+ucjjuc5/wAauUUrItVJLS5n6Rp0ml2MVo1z5yRIEX5NpPXLHk5Jzz29q4z4oa/NFZxeHNNV5b+/H7xIgWYR+mB/eP6A+tdPr2vPYSxabpsK3Ws3IzDAT8sa9DJIeyD8yeB7P0Lw9DpAkuZpDd6pcfNc3sg+eQ+g/uqOAFHAAFYzi5R9nDQ9LC1Y0KqxmIXM90trvu/JP7387cj8NvBWr+Hp5b/UJ1gE8e02a4YnuCx6AjngZ616PRRV0qcaceWJy47G1cbWdera77BWHr+gHUmiv7CVbXV7YEQXBGVdepjkA+8h/MHkc1uUVochymlaqNRWWGaFrW/tiEurRzlom7EH+JT1DDgj3yBo03X9AOpNFf2Eq2ur2wIgnIyrr1McgH3kP5g8jmqGlaqNQWWGaFrW/tiEurRzlom7EH+JT1DDgj8QADRooooAKKKKACiiigAooooAKKKKACm5/eBdw6Z29/rTqbn94BuHTO3v9aAHUUUUAUdR0ex1Ty2uof30XMU8bFJYj6o64ZfwNQRXniDReG/4nlkPXbFdoPrwkn47D7k1q0UAT6T4g03Wt6Wdx+/i/wBbbSqY5ov95Gww+uMHtmtOuX1HR7HVPLa6h/fRcxTxsUliPqjrhl/A1DFeeINF4b/ieWQ9dsV2g+vCSfjsPuTQB11FZmk+INN1relncfv4v9bbSqY5ov8AeRsMPrjB7ZrToAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKwtX1e5e8/sXRdj6m6hpZnG6OzjP8AG/qx52p1J9ACaNX1e5e8/sXRdj6m6hpZnG6OzjP8b+rHnanUn0AJq9pGkW2jWf2e33uzsZJp5TukmkPV3Pcn8hwBgACgA0jSLbRrP7Pb73Z2Mk08p3STSHq7nuT+Q4AwABV+iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5/Tf8Akd9f/wCvaz/9q10Fc/pv/I76/wD9e1n/AO1aAOgooooAKKKKACiiigArD17XnsJYtN02FbrWbkZhgJ+WNehkkPZB+ZPA9ofFnihfD9mUt4jc6g6F0iVGYRIPvSyBQSI17nv0HqGeHbaz061e7857+9vCsk98dpM+QMFcHAQA8AdAKiV2+VHTRVOMfa1Ney7vz7L89l1avaDoKaPFLLNM11qNyd91duPmlb0Hoo6BRwBWvVT7fHz8knDAdByPXr0/wo+3x8/JJwwHQcj169P8KpJJWRjUqSqSc5vUt0VV+3x8/JJw2Og59+vT/Cj7fHz8knDY6Dn369P8KZBaoqp9vj5+ST72Og5Hr16Ufb4+fkk+9joOR69elAFusPX9AOpNFf2Eq2ur2wIgnIyrr1McgH3kP5g8jmtH7fHz8kn3sdByPXr0o+3x8/JJ97HQcj169KAOf0rVRqCywzQta39swS6tHOWibsQf4lPUMOCPfIFfxbqs+h+E9T1O1QPcW8DPGCMgN0BPsM5PsKu6/YJqTR39gzW2r23ywTlQVdTyUkGfmjP5g8jnrR0/XYNThnt7m1eC7hIiu7OTDFCR19GQjOD3H5UAR2mh21jNpUkl9MbyIPvcuM3jlDuLkjJA5IAIA444GN6s63WwsyTbWaRHhMoig7f8B6e3SrH2yPn5H647fn1oAs0VX+2R8/K/XHb8+tH2yPn5X647fn1oAsUVX+2R8/K/XHb8+tH2yP8Auv1x2/PrQBYoqv8AbI/7r9cdvz60fbI/7r9cdvz60AWKbn94BuHTO3v9ah+2R/3X647fn1pFvIzMFLFc8AFevvkdB9aALNFHWigAooooAKKKKAKOo6PY6p5bXUP76LmKeNiksR9UdcMv4GoYrzxBovDf8TyyHrtiu0H14ST8dh9ya1KKAJ9J8QabrW9LO4/fxf622lUxzRf7yNhh9cYPbNadcvqOj2OqeW11D++i5injYpLEfVHXDL+BqGK88QaLw3/E8sh67YrtB9eEk/HYfcmgDrqKzNJ8QabrW9bO4/fxf622lUxzRf7yNhh9cYPbNadABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWFq+r3L3n9i6LsfU3UNLM43R2cZ/jf1Y87U6k+gBNGr6vcvef2Loux9TdQ0szjdHZxn+N/VjztTqT6AE1e0jSLbRrP7Pb73Z2Mk08p3STSHq7nuT+Q4AwABQAaRpFto1n9nt97s7GSaeU7pJpD1dz3J/IcAYAAq/RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXP6b/wAjvr//AF7Wf/tWugrn9N/5HfX/APr2s/8A2rQB0FFFFABRRRQAVj61rT2UkVhYQrdatcgmCAnCoo4MkhH3UHr1J4GSaNa1p7KSKwsIVutWuQTBAThUUcGSQj7qD16k8DJNSaLoqaVHLLLM11qFyQ91duMNKw6AD+FR0VRwB6kkkANF0VNKjlllma61C5Ie6u3GGlYdAB/Co6Ko4A9SSTz9/YSeEppL6xiaTQpGL3NqgybMnkyRgdY+7IOnUdxXaUUAYUUsc8KTQyLJFIoZHQ5DA9CD3FPrGv7CTwlNJfWMbSaFIxe5tUGTZk8mSMDrH3ZB06juK1opY54UmhkWSKRQyOhyGB6EHuKAH0UUUAFFFFABRRUUFzBdIXt545lVtpMbhgD6cd6B2drktY+t6IdQaO9spVttVtwRDORlXXqY5B3Q/mDyOa2KKBHN6ZqYv1lilia2vrchLm1c5aNu3PdT1DDgj8QL9M1vRDqDR3tlKttqluCIZyMq69THIO6H8weRzVPTNTF+ssUsTW17bkJc2znLRt257qeoYcEfiAAX6KKKACiiigAooooAKbn5wNw6dKdTc/OBkdOlAEkcjREbDhQSdvY5q1HeLtHmkKQuWfotU6KANWisxJHjJKMRnA9RVqO7Vjhxt5wMc5/woAs0UUUAFFFFABRRRQBR1HR7HVPLa5h/fRcxTxsUliPqjrhl/A1DFeeINF4b/ieWQ9dsV2g+vCSfjsPuTWpRQBPpPiDTda3rZ3H7+L/W20qmOaL/AHkbDD64we2a065fUdHsdU8trmH99FzFPGxSWI+qOuGX8DUMV54g0Xhv+J5ZD12xXaD68JJ+Ow+5NAHXUVmaTr+m61vWzuP38X+ttpVMc0X+8jYYfXGD2zWnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVhavq9y95/Yui7H1N1DSzON0dnGf439WPO1OpPoATRq+r3L3n9i6LsfU3UNLM43R2cZ/jf1Y87U6k+gBNXtI0i20az+z2+92djJNPKd0k0h6u57k/kOAMAAUAGkaRbaNZ/Z7fe7OxkmnlO6SaQ9Xc9yfyHAGAAKv0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/pv/ACO+v/8AXtZ/+1a6Cuf03/kd9f8A+vaz/wDatAHQUUUUAFY+ta09lJFYWEK3WrXIJggJwqKODJIR91B69SeBkmjWtaeykisLCFbrVrkEwQE4VFHBkkI+6g9epPAyTUmi6KmlRyyyzNdahckPdXbjDSsOgA/hUdFUcAepJJADRdFTSo5ZZZmutQuSHurtxhpWHQAfwqOiqOAPUkk6lFFABRRRQAVxl/YSeE5pL6xjaTQpGL3NqgybMnkyRgdY+7IOnUdxXZ0UAYUUsc8KTQyLJFIoZHQ5DA9CD3FPrHv7CTwnNJfWMTSaHIxe5tUGTZk8mSMDqndkHTqO4rViljnhSaGRZIpFDI6HIYHoQe4oAfRRRQBQl1MfbZrW3iEslvGJJyX2qgPQZ/vHBOPTqRxmr4XUtoi3bKQ97I90QfR2JX/x3aKhn0e9EWtRWskIbUSWWZycx5jCYwBz04Oe/ty+6N3p1nYokyQr58cO0AFUTI4JI/uqw+rDnisbu/NLoelyU3T9lSavJr8Fr+L/AA1Nyis/SLyS/hubkuGha4dYMAY2Kdv45Ksc+9aFap3V0cFSDpycJboKx9b0Q37R3tlKttqluCIZiMq69THIO6H8weRzWxRTIOb0zUxfrLFLE1te25CXNs5y0bdue6nqGHBH4gX6ZreiG/aO9spVttUtwRDMRlXXqY5B3Q/mDyOap6ZqYv1lilia2vbchLm2c5aNu3PdT1DDgj8QAC/RRRQAUUUUAFNz84Ge3SnU3PzgZ7dKAHUUUUAFFFFADo5GixsOFBJ2joc1aju1IAkwpxlm6LVOigDVBBAIOQehFFZiySR5KMQSMc8j8qtR3atneNvIAxzn/CgCzRRRQAUUUUAFFFFAFHUdHsdU8trmH99FzFPGxSWI+qOuGX8DUMV54g0Xhv8AieWQ9dsV2g+vCSf+OH3JrUooAn0nX9N1retncfv4v9bbSqY5ov8AeRsMPrjB7ZrTrl9R0ex1Ty2uYf30XMU8bFJYj6o64ZfwNQxXniDReG/4nlkPXbFdoPrwkn/jh9yaAOuorM0nX9N1retncfv4v9bbSqY5ov8AeRsMPrjB7ZrToAKKKKACiiigAooooAKwtX1e5e8/sXRdj6m6hpZnG6OzjP8AG/qx52p1J9ACaNX1e5e8/sXRdj6m6hpZnG6OzjP8b+rHnanUn0AJq9pGkW2jWf2e33uzsZJp5TukmkPV3Pcn8hwBgACgA0jSLbRrP7Pb73Z2Mk08p3STSHq7nuT+Q4AwABV+iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5/Tf8Akd9f/wCvaz/9q10Fc/pv/I76/wD9e1n/AO1aAOgrnfFfiqDw3BbxBRJqF4WW2jZW2Dbjc7kAkIu5c45OQB1roq5+9/5KDov/AGDL7/0Za0AZei674b0qOWWXVJLrULkh7q7e2kDSsOgA2/Ko6Ko4A9SSTqf8Jt4e/wCf9v8AwHl/+JroKKAOf/4Tbw9/z/t/4Dy//E0f8Jt4e/5/2/8AAeX/AOJroKKAOf8A+E28Pf8AP+3/AIDy/wDxNH/CbeHv+f8Ab/wHl/8Aia6CigDn/wDhNvD3/P8At/4Dy/8AxNH/AAm3h7/n/b/wHl/+JroKKAOf/wCE28Pf8/7f+A8v/wATXJTa/o/h6/8AO0u6aXR7h8z2ggkBtGJ5kjyv3CfvJ26juK9NooGrX12PP/8AhYPhf/oKf+S8v/xNH/CwfC//AEFP/JeX/wCJrf1DwhZXF1JfadLLpWoOdz3FpgCU/wDTSM/K/wBSN3oRWZLf6vofGu2HnWw/5iOnozpj1ki5dPw3KO5FZWq9193/AATt9pgf+fc//A1/8rKf/CwfC/8A0FP/ACXl/wDiagufHHha52H+2ZYyhODHDIOoxyCmDXT2l5bX9qlzZ3EVxBIMpJE4ZW+hFTUONR9V93/BHGtgou6pz/8AA1/8rOUt/HPhK1t44INR2RRrtVfIl4H/AHzVS/8AifodsCLVLi7bsVTYv5tz+ldtWff6FpWqA/bdPt5mP8bIN3/fXWplGta0ZL7v+CzajWy72nNVpza/xp/+2x/M4jSviil1qpTUYIbKw2EhxvkYN2HA+vauh/4WD4X/AOgp/wCS8v8A8TUuleC9I0XVjqFis0b7CgjMm5AD9ef1roamlGul70lf0/4KNcdXyudROhSly2/mS/OMvzOZ/wCFg+F/+gp/5Ly//E1j634n8MX7R3tlrC22qW4IhmNtKVdepjkG3lD+YPI5rvqK0tV7r7v+CcftMD/z7n/4Gv8A5WcNpnjfRtQgTfP5F1tzJblWYr24IHI9/wCR4rQ/4SPSv+fk/wDfp/8ACtrVNF07WYlS/tVlKHMcgJWSM+qOMMp9wRWJJp2vaPzaS/2zZj/ljOyx3KD/AGX4V/o20+rGtFe2pyVHBybgml5u7++y/IX/AISPSv8An5P/AH6f/Cj/AISPSv8An5P/AH6f/CpNP1qy1GV4I3aK7jGZLWdDHMnuUPOPcZB7GtCmQZf/AAkelf8APyf+/T/4U3/hI9K3f8fR6dPJf/Ctam5+cDPbpigDN/4SPSv+fk/9+n/wo/4SPSv+fk/9+n/wrUooAy/+Ej0r/n5P/fp/8KP+Ej0r/n5P/fp/8K1KKAMv/hI9K/5+T/36f/Cj/hI9K/5+T/36f/CtSigDL/4SPSv+fk/9+n/wo/4SPSv+fk/9+n/wrUooAzY/E2mRY2XRCgklRC+D/wCO1Zj8X6QQBJcMpwSSIXx/KrNFAEQ8WaIRkXhIP/TGT/4mj/hLNF/5/G/78yf/ABNTrJJHuKMQSMc8gfhVtLtGzvG3kAd80AZv/CWaL/z+N/35k/8AiaP+Es0X/n8b/vzJ/wDE1tUUAYv/AAlmi/8AP43/AH5k/wDiaP8AhLNF/wCfxv8AvzJ/8TW1RQBi/wDCWaL/AM/jf9+ZP/iaP+Es0X/n8b/vzJ/8TW1RQBy+o6p4X1Ty2uZW86LmKeOOVJYj6o6gMv4GoofG82jEK14dcsh6wmK7QfXaEk/HYfc11tFAGfafEbwte5EWosJVHzwvbSq6fVduRVr/AITbw9/z/t/4Dy//ABNV9R0ex1Ty2uYf30XMU8bFJYj6o64ZfwNQxXniDReH/wCJ5ZD12xXaD68JJ/44fcmgC9/wm3h7/n/b/wAB5f8A4mj/AITbw9/z/t/4Dy//ABNXdK1/Tda3rZ3H7+L/AFttKpjmi/3kbDD64we2a06AOf8A+E28Pf8AP+3/AIDy/wDxNVpvFiavP/ZXhqTztQdd8k8sLCO0jJx5jbgNx4IVR1I5wATXU1z9v/yUPUP+wVa/+jZ6ANHSNIttGs/s9vvdnYyTTyndJNIerue5P5DgDAAFX6KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5/Tf+R31/8A69rP/wBq10Fc/pv/ACO+v/8AXtZ/+1aAOgrn73/koOi/9gy+/wDRlrXQVz97/wAlB0X/ALBl9/6MtaAOgooooAKKKKACiiigAooooAKKKKACiiigDntQ8IWVxdSX2nSy6VqDnc9xaYAlP/TSM/K/1I3ehFZkt/q+ica7YedbD/mI6ejOmPWSLl0/Dco7kV2lFAHP2l5bX9qlzZ3EVxBIMpJE4ZW+hFTVBqHhCyuLmS+06WXStQc7nuLTAEp/6aRn5X+pG70IrMlv9X0TjXbDzrYf8xHT0Z0x6yRcun4blHcigDaoqG0vLa/tkubO4iuIJBlJInDK30IqagAooooAKKKKAKGqaLp2sxKl/arKUOY5ASskZ9UcYZT7gisSTTte0fm0l/tmzH/LGdljuUH+y/Cv9G2n1Y11VFAHNafrVlqMrwRu0V3GMyWs6GOZPcoece4yD2NXs/OBnt0xVjVNF07WYlS/tVlKHMcgJWSM+qOMMp9wRWHJp+u6M/8Aosx1m0Az5E5WO5Uf7L8K/wBG2n1Y0Aa1FZ+n61ZajK8EbtFdxjMlrOhjmT3KHnHuMg9jWhQAUUUUAFFFFABRRRQAUUUUAFFFFADo5GiI2HAzkjHBp9xrFrY2r3F9KsESDLOenXAHqSc8ADk15zHa+Mf+FjGVpJ/7K80n7/7nyew25+9+ueelaWol9S+J2l6bN/x6WNg+ohD0eUv5akjvtBJHoTQB1c/iOG0slvruyvLexOCbmRU2op6MwDFgOR1HGecc1s9RkVw3j6+Nr4K1KBAZJ76P7FBDnJkkk+UAD15J/Cun0ljaaXaWk7EyQwxxF+u4gAE/nQBpUUUUAFFFFABRRRQBR1HR7HVPLa5h/fRcxTxsUliPqjrhl/A1DFeeINF4f/ieWQ9dsV2g+vCSf+OH3JrUooAn0rX9N1retncfv4v9bbSqY5ov95Gww+uMHtmqVv8A8lD1D/sFWv8A6NnqvqOj2OqeW1zD++i5injYpLEfVHXDL+BrAtLnWtF8aXjkSa3CNOt1bJSO4VBJNjHASQ9eu09Op6gHo9FZmla/putb1s7j9/F/rbaVTHNF/vI2GH1xg9s1p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVz+m/8jvr/AP17Wf8A7VroK5/Tf+R31/8A69rP/wBq0AdBXP3v/JQdF/7Bl9/6Mta6Cufvf+Sg6L/2DL7/ANGWtAHQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHPah4Qsri5kvtOll0rUHOXuLTAEp/6aRn5X+pG70IrMlv9W0TjXLDzrYf8xDT0Z0x6yRcun4blHciu0ooA5+0vLa/tkubO4iuIJBlJInDK30IqaoNQ8I2VxcyX2nSy6VqDnc89pgCU/wDTSM/K/wBSN3oRWZLf6tonGuWPnWw/5iGnozpj1ki5dPw3KO5FAG1RUNpeW1/bJc2dxFcQSDKSROGVvoRU1ABRRRQAU3P7wDcenTFOpuf3gG49OmKAKWqaLp2sxKl/arKUOY5ASskZ9UcYZT7gisSTTte0fm0l/tmzH/LGdljuUH+y/Cv9G2n1Y11VFAHNafrVlqMrwRu0V3GMyWs6GOZPcoece4yD2NaFTapounazEqX9qspQ5jkBKyRn1RxhlPuCKxJNO17R+bSX+2bMf8sZ2WO5Qf7L8K/0bafVjQBq0Vn6frVlqMrwRu0V3GMyWs6GOZPcoece4yD2NaFABRRRQAUUUUAFFFFABWdfaPFeX9tqEcj299bKyJNHg5RsZRgeCpIB9QRwRWjRQBmR6NE2ox6heSvd3UQIhLgBIc9SijoT6nJ7ZxxWnRRQA6ORomyhwM5YY+9xjn/ParcV2HIVxtY5+lUqKANRWDKGUgqRkEdDS1mLJJHko3OMAHJH5VbS8QnDgr0APXJNAFiiiigAooooAKxYf+R2vf8AsHW//oyatqsWH/kdr3/sHW//AKMmoAuajo9jqnltcw/vouYp42KSxH1R1wy/gahivPEGi8P/AMTyyHrtiu0H6JJ/44fcmtSigCfStf03Wt62dx+/i/1tvKpjmi/3kbDD64we2a065fUNHsdU8trmH99FzFPGxSWI+qOuGX8DUMV54g0Xh/8Aid2Q/wB2K7Qfokn/AI4fcmgDrqKzNK1/TdZ3rZ3GZ4v9bbyqY5ov95Gww+uMHtmtOgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArn9N/5HfX/wDr2s//AGrXQVz+m/8AI76//wBe1n/7VoA6Cufvf+Sg6L/2DL7/ANGWtdBXP3v/ACUHRf8AsGX3/oy1oA6CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDntQ8I2VxcyX2nSy6VqDnc89pgCU/wDTSM/K/wBSN3oRWZLf6tonGuWPnWw/5iGnozpj1eLl0/Dco7kV2lFAHP2l5bX9slzZ3EVxBIMpJE4ZW+hFTVDqHhGyuLmS+06WXStQc7nntMASn/ppGflf6kbvQisqfUNX0NT/AG3p5nt1/wCX/TkLpj1eLl4/w3KO7CgDZZsDAwWwSFzjNGwbix5J45A4Hp9Khs7q2vrZLq0uY7mCTlJY2DKR7EVYoAaI0GMIowNo46D0oEaDGEXgbRx29KdRQA3y0GPkXgbenb0o8tBj5F4G3p29KdRQBnanoWmaxCkd9ZxyeX/q3HyvF7o4wyn6EViyaXrejc2jjWbMDHkzlY7lF9FfhX+jbT6sa6uigDmNP1fT9RleCMmK7jXElrOhjmQe6HnHuMg9jWhsX+6OmOnb0qxqmi6drMSpf2qylDmOQErJGfVHGGU+4IrEk07XtH5tJf7Zsx/yxnZY7lB/svwr/Rtp9WNAGnsX+6OmOnb0o2L/AHR0x07elUdP1qy1GV4I3aK7jGZLWdDHMnuUPOPcZB7GtCgBuxeflHIx07elBRTnKjkYPHb0rA8ST3EmoaLpETvHFf3DC4kU4PlohcoCOm7AHHbNVvD0sD+KNda3fbbJJHaQQoTsDRoGkIUcDmQAn1FAHUFFOcqORg8dvSgopzlQcjB46j0p1FADSinOVByMHjqPSgopzlQcjB46j0p1FADSinOVB3DByOo9KCituyoO4YOR1Hp+tOooAaUVt2VB3DByOo9P1oKK27Kg7hg5HUelOooAfEyRs25EKOMSfJksMfrV/bHIpJVSHXByOo9D+Z/Os2pYJjE2OqMctk9OO36UAXjGjbtyKdw2tkdR6H8zQY0bduRTuG1sjqPQ/maVWDorL0IyOMUtADTGjbtyKdw2tkdR6H8zWNGqt40vlZQQdNtwQR1HmTVt1iw/8jte/wDYOt//AEZNQBsGNG3bkU7htbI6j0P5mgxo27cincNrZHUeh/M06igBpjRt25FO4bWyOo9D+ZoMaNu3Ip3Da2R1HofzNOooAzNX0S21ZFkz5F9Fzb3cajzIjz69VOSCp4IJBq7oWt/2jLNpmqwRQaxFH++jA+S4j6CSPPVDnkdVJwexM1Z+q6UmpxRssr215bt5lrdRffhf1HqD0Kngjg0AdQ0Ub7tyKd67WyPvDng+3J/Ohoo33bkU712tkfeHPB9uT+dYega+99LJpmpxpbaxbrukjX7kydBLET1U9x1U8HsTvUANaON925FO9drZHUeh9uT+dDRRvu3Ip3rtbI+8OeD7cn86dRQA1oo33bkU712tkfeHPB9uT+dDRxvu3Ip3ja2R1Hofbk/nTqKAGtFG27cineNrZHUeh9uT+dDRRtu3Ip3ja2R1Hofbk/nTqKAGtHG27cineNrZHUeh/M/nQ0UbbtyKd42tkdR6H8z+dOooAa0UbbtyKd42tkdR6H8z+dDRxtu3Ip3Da2R1HofzNOooAa0UbbtyKd42tkdR6H8zQ0UbbtyKd42tkdR6H8zTqKAGtHG27cincMNkdR6Ghoo23bkU7hhsjqPQ06igBrRRtu3Ip3DDZHUehoaONt25FO4YbI6j3p1Y+t621g8VhYQi71e6B+z2+cBQOskh/hjHc9+gyTQAzXNWFk6WFlax3mr3i4htzwNo6ySH+GNc8nv0GSam0TRRpMU0s07XWo3TB7u7cYMrAYAA/hQDhVHQepJJTRNEXSklmmmN3qV0Q11duMGQjoAP4UHRVHT3JJOtQAVz97/yUHRf+wZff+jLWugrn73/AJKDov8A2DL7/wBGWtAHQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFIzBRk56gcDNAAzbRnBPIHFIqchm2s4yA2MEAnp/L8qFTB3NtL4wWAxx2FOoA5/UPCNlcXMl9p0sulag53PPaYAlP/TSM/K/1I3ehFZct/q2ica5Y+dbD/mIaejOmPV4uXT8NyjuRXaUUAc/aXltf2yXNncRXEEgykkThlYexFTVDqHhGyuLmS+06WXStQc7nntMASn/AKaRn5X+pG70IrLlv9W0TjXLHzrYf8xDT0Z0x6vFy6fhuUdyKANqiobS8tr+2S5tLiK4gkGUkicMrD2IqagAooooAKKKKAKGqaLp2sxKl/arKUOY5ASskZ9UcYZT7gisSTTte0fm0l/tmzH/ACxnZY7lB/svwr/Rtp9WNdVRQBylvqGla4xtZEH2mE72tLqPZLEemdjc9yNw4PYmr0NjaW0rSwW0MUjABmRApIAA7ewA/AelXtU0XTtZiVL+1WUocxyAlZIz6o4wyn3BFYkmna9o/NrL/bNmP+WM7LHcoP8AZfhX+jbT6saANWis/T9astRleCN2iu4xmS1nQxzJ7lDzj3GQexrQoAKKKKACiiigAooooAKKKKAJYZjE3qDgHLHge1X1ZXUMjBlPQg5BrLqWGdom5yynAxnpzyf8+lAGhWLD/wAjte/9g63/APRk1bKsrruVgw9Qaxof+R2vf+wdb/8AoyagDaooooAKKKKACiiigDP1XSk1OKNlle2vLdvMtbqP78L+o9QehU8EcGrmga+99LJpupRpbaxbrukjX7kydBLET1U9x1U8HsTJWfqulJqcUbLK9teW7eZbXUf34X9R6g9Cp4I4NAHVUVg6Br730smm6lGltrFuu6SNT8kydBLET1U9x1U8HsTvUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVj63rbWDxWFhCLvV7oH7Pb5wFA6ySH+GMdz36DJNABrettYPFYWEIu9Xugfs9vnAUDrJIf4Yx3PfoMk07RNEXSklmmmN3qV0Q11duMGQjoAP4UHRVHT3JJJomiLpSSzTTG71K6Ia6u3GDIR0AH8KDoqjp7kknWoAKKKKACufvf+Sg6L/2DL7/ANGWtdBXP3v/ACUHRf8AsGX3/oy1oA6CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiikZgpAJALHCgnqcZ/pQAFgpUHPzHA4pEU/eb75UBsE4/D86EU/ebhiBkBiQD7U6gAooooAKKKKACik3qHCbhuIyFzyR6/qKWgDn9Q8I2VxcyX2nSy6VqDnc89pgCU/9NIz8r/Ujd6EVmS3+raJxrlj51sP+Yhp6M6Y9Xi5dPw3KO5FdZJeW0N3BaSTotxcBjFGT8zhcbiB7ZH51PQBz9pd21/bJc2lxFcQSDKSROGVh7EVNUOoeEbK4uZL7T5ZdK1Bzuee0wBKf+mkZ+V/qRu9CKzJb/VtE41yx862H/MQ09GdMerxcun4blHcigDZoqG0u7a/tkubS4iuIJBlJInDKw9iKmoAKKKKACiiigChqmi6drMSpf2qylDmOQErJGfVHGGU+4IrEk07XtH5tZf7Zsx/yxnZY7lB/svwr/Rtp9WNdVRQBzWn61ZajK8EbtFdxjMlrOhjmT3KHnHuMg9jWhU2qaLp2sxKl/arKUOY5ASskZ9UcYZT7gisSTTte0fm1l/tmzH/LGdljuUH+y/Cv9G2n1Y0AatFZ+n61ZajK8EbtFdxjMlrOhjmT3KHnHuMg9jWhQAUUUUAFFFFABRRRQBLDO0R53MmPujFVYCD41vSDkf2db/8AoyapazbOQW/i68bb8psIchRyT5kp/wAfzoA6eigEEZHSigAooooAKKKKACiiigDP1XSk1OKNlle2vLdvMtrqP78L+o9QehU8EcGrmga+99LJpupRpbaxbrukiU/JMnQSxE9VPcdVPB7EyVn6rpSalFGyyvbXlu3mW11H9+F/UeoPQqeCODQB1VFYWga+99JJpupRpbaxbrukiU/JMnQSxE9VPcdVPB7E7tABRRRQAUUUUAFFFFABRRWPrettYPFYWEIu9Xugfs9vnAUDrJIf4Yx3PfoMk0AGt621g8VhYQi71e6B+z2+cBQOskh/hjHc9+gyTTtE0RdKSWaaY3epXRDXV24wZCOgA/hQdFUdPckkmiaIulJLNNMbvUrohrq7cYMhHQAfwoOiqOnuSSdagAooooAKKKKACufvf+Sg6L/2DL7/ANGWtdBXP3v/ACUHRf8AsGX3/oy1oA6CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKRiVUkKWIGQoxk/nQAjvt4GC5BKqTjOKUDBY7icnOD2oCkZyxbJyM449qWgAooooAKzfEGsweHvD99q9yrNFaQtKUXqxHRR7k4H41pVS1fSrXXNIutMvFY29yhR9pwR6EH1BwR9KAOdGpa7ba34bsbm4ia41ITTXsHlDbBGiZIjI54d0XLE5znjpXUXlz9jtmm8mabGPkhTcx+grJk8LwXGrw6pcXt3LdRwm3JJUK0ZdH27QuBygzjkgkHIxjdoA46XXgfGFpJ/ZWqcWE67fsxycyRc4z04rqLK7+2web9nuIOSNk6bG+uPSonsGfXoNR3jZHayQFMcksyNn/wAcP51eoA4i2s59S+Kd/c/2lcmHSLOOJVKx4Dzt5joPk6bEi5+9z1rt88471kW/h61t9Tvb1ZZj9ruVupYWI2GRUVAemcAIpAzgHn0xzH9i6wbjT5J9NNxdR6vNd3VyZUG9B5vkKpzkIMxZGOAvQnNAHfUUUUAc/qHhGyuLmS+0+WXS9Qc7nntMASn/AKaRn5X+pG70IrMlv9W0TjXLHzrYf8xDT0Z0x6vFy6fhuUdyK7OigDn7S7tr+2S5tLiK4gkGUkicMrD2IqaodQ8I2VxcyX2nyy6XqDnc89pgCU/9NIz8r/Ujd6EVmS32raJxrlj51sP+Yhp6M6Y9Xi5dPw3KO7CgDZoqG0u7a/tkubS4iuIJBlJInDKw9iKmoAKKKKACiiigChqmi6drMSpf2qylDmOQErJGfVHGGU+4IrEk07XtH5tZf7Zsx/yxnZY7lB/svwr/AEbafVjXVUUAc1p+tWWoyvBG7RXcYzJazoY5k9yh5x7jIPY1oVNqmi6drMSpf2qylDmOQErJGfVHGGU+4IrEk07XtH5tZf7Zsx/yxnZY7lB/svwr/Rtp9WNAGrRWfp+tWWoyvBG7RXcYzJazoY5k9yh5x7jIPY1oUAFFFFABWXF/yNd1/wBeMP8A6HLWpWXF/wAjXdf9eMP/AKHLQBsQTeS3YITlvlyTx/8AqrQVgyhh0IyKy6lgmMT46ox+bJ6cdqANCikVg6BlOQRkUtABRRRQAUUjMFUsxAUDJJ6CobW8tb6DzrO5huIskb4XDrkdRkUAT0UUUAUNV0pNSjiZZXtry3bzLa6j+/C/qPUHoVPBHBq5oOvPfSSabqUaW2r267pIlPyTJ0EsRPVT3HVTwexL6oarpSalHGyyvbXlu3mW11H9+F/UeoPQqeCODQB1NFYWg6899JJpupRpbavbrukiU/JMnQSxk9VPcdVPB7E7tABRRRQAUUVj63rbWDxWFhCLvV7oH7Pb5wFA6ySH+GMdz36DJNABrettYPFYWEIu9Xugfs9vnAUDrJIf4Yx3PfoMk07RNEXSklmmmN3qV0Q11duMGQjoAP4UHRVHT3JJJomiLpSSzTTG71K6Ia6u3GDIR0AH8KDoqjp7kknWoAKKKKACiiigAooooAK5+9/5KDov/YMvv/RlrXQVz97/AMlB0X/sGX3/AKMtaAOgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKRmCjJz1A4GaABjtGdpPIGBSKnIZsM4yA2OQCen8vyoVMHc20v03BccZ6U6gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDn9Q8I2VxcyX2nyy6XqDnc89pgCU/9NIz8r/Ujd6EVmS32raJxrlj51sP+Yhp6M6Y9Xi5dPw3KO7CuzooA5+0u7a/tkubS4iuIJBlJInDKw9iKmqG/wDCVlcXMl7p8sul6g53PPaYAlP/AE0jPyv9SN3oRWZLfatonGuWPnWw/wCYhp6M6Y9Xi5dPw3KO5FAGzRUNpd219bJc2lxFcQOMpJE4ZWHsRU1ABRRRQAUUUUAUNU0XTtZiVL+1WUocxyAlZIz6o4wyn3BFYkmna9o/NrL/AGzZj/ljOyx3KD/ZfhX+jbT6sa6qigDmtP1qy1GV4I3aK7jGZLWdDHMnuUPOPcZB7GtCptU0XTtZiVL+1WUocxyAlZIz6o4wyn3BFYkmna9o/NrL/bNmP+WM7LHcoP8AZfhX+jbT6saANWsuL/ka7r/rxh/9DlqTT9astRleCN2iu4xmS1nQxzJ7lDzj3GQexqOL/ka7r/rxh/8AQ5aANSiiigCWGZom9QcA5Y8D2q+rq6hkYMp6EHNZdSwztE3OWU4GPTnrQBoUUisrrlWBHqDS0AQXt3FYWNxeTHEUETSufRVGT+grj/BuoS6XpOgafqFr5M+rrNcKwfLGVszOGXHHDNjk9MHFdL4g0w614d1HS1l8pru3eEP2UspHPtVSLRp7vxDaatfrDEtjA8VpbxMWCs+A7k4HYBQMcDJ74ABu0UUUAFFFFAFDVNLTUo42WV7a8t28y2uo/vwv6j1B6FTwRwauaDrz30kmm6lGltq9uu6SJT8kydBLGT1U9x1U8HsS+qGqaWmpRxssr295bt5ltdR/fhf1HqD0Kngjg0AdTRWFoOvPfSSabqUaW+r267pIlPyTJ0EsZPVT3HVTwexMut621g8VhYQi71e6B+z2+cBQOskh/hjHc9+gyTQAa3rbWDxWFhCLvV7oH7Pb5wFA6ySH+GMdz36DJNO0TRF0pJZppjd6ldENdXbjBkI6AD+FB0VR09ySSaJoi6Uks00xu9SuiGurtxgyEdAB/Cg6Ko6e5JJ1qACiiigAooooAKKKKACiiigArn73/koOi/8AYMvv/RlrXQVz97/yUHRf+wZff+jLWgDoKKKKACiiigAooooAKKKKACiiigAooooAKKKRmVSASAWOFBPU4z/SgALBSAc8nA4pEUj5m++VAbBOPwH40Ip+8ww5A3AMSB9KdQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBz9/4Ssri5kvdPll0vUHO557TAEp/6aRn5X+pG70IrMlvtW0TjW7HzrYf8xDT0Z0x6vFy6fhuUdyK7OigDn7S7tr62S5tLiK4gcZSSJwysPYipqhv/AAlZXFzJe6fLLpeoOdzz2mAJT/00jPyv9SN3oRWZLfatovGt2PnWw/5iGnozpj1eLl0/Dco7kUAbNFQ2l3bX1slzaXEVxBIMpJE4ZWHsRU1ABRRRQAUUUUAUNU0XTtZiVL+1WUocxyAlZIz6o4wyn3BFcfBp2rweMrvT7LWEbbZxuJr+189tgY4X5HjzgseTk/zrv68ysfGthN49e7W2uwlzClmilV3B9/UjPT9axrVFBxu7XZ6WX4OeJjVcY83LH7ndfpc6n+yfE/8A0G9I/wDBTL/8kUf2T4n/AOg3pH/gpl/+SK6SitjzTm/7J8T/APQb0j/wUy//ACRR/ZPif/oN6R/4KZf/AJIrpKKAOej0/wAVRdNc0krz8o0iQ/8AtyP51ojRvFRGRr+ikH/qDy//ACTWhUtvcG2J4/dYJKqvJPqP1oAyv7F8V/8AQe0b/wAE8v8A8k0f2L4r/wCg9o3/AIJ5f/kmupBBAIOQaWgDlf7F8V/9B7Rv/BPL/wDJNH9i+K/+g9o3/gnl/wDkmuqooA5X+xfFf/Qe0b/wTy//ACTR/Yviv/oPaN/4J5f/AJJrqqKAOV/sXxX/ANB7Rv8AwTy//JNH9i+K/wDoPaN/4J5f/kmuokkSKNpJGCogLMzHAAHUmuLn+IlnqFokHhyN73Vbh2ihgZCoTHV39Fxz7+3OInUjDdnTh8JWxH8ON0t30Xq+hg+K4PEEV9p1lBq2m3WtmUSWqWmmSRSwj+Jy5uGCqRkHKkEdRjp3uhaINKhknuZTc6pdYe7um6uw6KPRF5CqOn1JJr+GvDS6Ikt1dTG71a6O66u36sf7q+ij09voBv0ocz96X3FYl0YpUqOtt5d35dl269X2RRRRWhyBRRRQAUUUUAFFFFABRRRQAVz97/yUHRf+wZff+jLWugrn73/koOi/9gy+/wDRlrQB0FFFFABRRRQAUUUUAFFFFABRRRQAUUUjNtUkKWIGQoxk/nQAjvtGBguQSqk43UoXBY5Jyc4PagAgnLE5ORnHHtS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc/f+ErK4uZL3T5ZdL1Bzuee0wBKf+mkZ+V/qRu9CKzJb7VtF41ux862H/MQ09GdMerxcun4blHciuzooA5+1u7a+tkubS4iuIJBlJInDKw9iKmqG/8ACVlcXMl7p8sul6g53PPaYAlP/TSM/K/1I3ehFZkt9q2i8a3Y+dbD/mIaejOmPV4uXT8NyjuRQBs0VDa3dtfWyXNpcRTwOMpJE4ZWHsRU1ABXlem6CE+Lk8O39zA7XePYgFfyZh+VeqVy1sB/wsy+OBn+zU5/4HXPXgpON+56+V4mdCFdR6wf5pfqzoLi+it54oMNJPLkpEmNxA6nngAZHJ9QO9Zfh4JcXmr6hHH5az3Xlqu3HEagEn33F6lNrcw+Irq/EJmEtrHDCQwAQhmLA56A5U5GehqHS47zTPDiRTeVbzooy0o3gyscucKecsxwMgk/Wqbbld9LmKhCNFxg9Zcq376vTyaS+83qKq2Es8sB+0tCZVbawiGNvA4PJwe+M8Z79TarVO6OCUeV2CiiimSS285t27CNjl/lyTxj/D8q1FYOgZehGRxisapradoXx1Rj82SeOO36UAalFNR1kRXU5VhkH2p1ABRRXOeJfEraY8WmaZCLvW7oYgtx0Qf339FH64+pEykoq7NaFCdaahBa/wBavskc58UvEUkNnH4d07fJe3v+tWIEsI/7uB3Y/oD61Q+H3w+1fStSh1m/uDZlQcWqHLOCOj9gOhxyeO1dr4b8LxaMJLy7kF5rFyd1zeOMsSf4V9FHp7fQDecsI2KBSwBwGOAT7ntXOqHPP2tT5LsezPNVh8K8DhErP4pP7V97X2XRdbdh1FUNE1I6xo9tqBg8nz1LBN27jJwc4HUYPTvV+ulNNXR4c4SpycJbrQKKKKZIUUUUAFFFFABRRRQAUUUUAFc/e/8AJQdF/wCwZff+jLWugrn73/koOi/9gy+/9GWtAHQUUUUAFFFFABRRRQAUUUUAFFFIzBRk56gcDPWgAYlRkKW5HApFTnc2GYZAbHIBPT+X5UKmDuYKX5G4LjjPSnUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAYF/4Ssri5kvdPll0vUHO557TAEp/6aRn5X+pG70IrLlvtW0XjW7HzrYf8xDT0Z0x6vFy6fhuUdyK7OigDn7W7tr62S5tLiKeBxlJInDKw9iK522/5KXe/wDYNT/0Oujv/CVlcXMl7p8sul6g53PPaYAlP/TSM/K/1I3ehFcjDbeIrPx5dl7G21C4Gnx7mtpfJUoXYK2Hzgko3ygnGOvNZ1E2427nZhJxjGrzPeLX4o7Oo5YIp12zRJIo7OoI6Y7+xNZ32jxH/wBC1/5PR0faPEf/AELX/k9HWhyJtao0Le2gtIFgtoY4Yl+6kahVH4CpayvtHiP/AKFr/wAno6PtHiP/AKFr/wAno6Abbd2atFZX2jxH/wBC1/5PR0faPEf/AELX/k9HQI1aKyvtHiP/AKFr/wAno6PtHiP/AKFr/wAno6ANu3uGhf8AvK2AQWOAM9R+daSOsiB0YMp6EHIrkvtHiP8A6Fr/AMno6p3XiXxFZXUemQaCDqF2jGCI3aOIwOsjAdFGQOSATgDk0m7K5UI88lFde+iNjxL4lbTHi0zTIRd63dDEFuOiD++/oo/XH1Ik8NeGl0RJbq6mN3q10d11dv1Y/wB1fRR6e30APDXhpdESW6upjd6tdHddXb9WP91fRR6e30A36zjFt88/+G/4J2168KcHQoPTq/5v8orouu76JFcXfajdX3hvWNUE0seZXtLCONyoyH8oMR/EWfPXoMYxyT2lZsmg6dIhRoDsMvnhBIwVZN27eozwd3OR6n1NOpFyWhnhK1OlK811X3LdfPT5X7j7eSw0qwtrQ3UMccMawpucDhcL/Pj61bhniuIxJDIkiEkbkYEZBwR+BBFY+paTc3CpbW0VqLVXgdt7MHcRvvKk4ORnH5tnrWvbRtHAFdY1YksViGFBJJ/Hr179acW72Iqxhy86d22S0UUVZzhRRRQAUUUUAFFFFABRRRQAVz97/wAlB0X/ALBl9/6Mta6Cufvf+Sg6L/2DL7/0Za0AdBRRRQAUUUUAFFFFABRRSFlUqCQCxwoJ6nGf6UABYLjOeTjgZpEUj5mxvKgNjOPwH40ID95hhyBuAYkA+3/6qdQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXP2//ACUPUP8AsFWv/o2eugrn7f8A5KHqH/YKtf8A0bPQB0FFFFABRRRQAUUUUAFFFY+t621g8VhYQi71e6B+z2+cBQOskh/hjHc9+gyTQAa3rbWDxWFhCLvV7oH7Pb5wFA6ySH+GMdz36DJNO0TRF0pJZppjd6ldENdXbjBkI6AD+FB0VR09ySSaJoi6Uks00xu9SuiGurtxgyEdAB/Cg6Ko6e5JJ1qACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5+9/5KDov/YMvv8A0Za10Fc/e/8AJQdF/wCwZff+jLWgDoKKKKACiiigAoopGbapIUsQMhRjJ/OgBHfbwCu8g7VJxk0qjBJyTk5we1ABBOWJycjOOPaloAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5+3/5KHqH/YKtf/Rs9dBXP2//ACUPUP8AsFWv/o2egDoKKKKACiiigAoorH1vW2sHisLCEXer3QP2e3zgKB1kkP8ADGO579BkmgA1vW2sHisLCEXer3QP2e3zgKB1kkP8MY7nv0GSadomiLpSSzTTG71K6Ia6u3GDIR0AH8KDoqjp7kkk0TRF0pJZppjd6ldENdXbjBkI6AD+FB0VR09ySTrUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/e/8AJQdF/wCwZff+jLWugrn73/koOi/9gy+/9GWtAHQUUUUAFFFIzBRkg9QOBnrQAMSq5ClvYUipg7mwzDOGxyAT0/l+VCpzuYKX5G4LjjPSnUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXP2/wDyUPUP+wVa/wDo2eugrn7f/koeof8AYKtf/Rs9AHQUUUUAFFFY+t621g8VhYQi71e6B+z2+cBQOskh/hjHc9+gyTQAa3rbWDxWFhCLvV7oH7Pb5wFA6ySH+GMdz36DJNO0TRF0pJZppjd6ldENdXbjBkI6AD+FB0VR09ySSaJoi6Uks00xu9SuiGurtxgyEdAB/Cg6Ko6e5JJ1qACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArn73/koOi/8AYMvv/RlrXQVz97/yUHRf+wZff+jLWgDoKKKQsqlQSAWOBnucZ/pQAMwXGc8nHAzSIpHzNjeVAYjpx/8ArNCA/eYYcgbgGJA+lOoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArn7f/AJKHqH/YKtf/AEbPXQVz9v8A8lD1D/sFWv8A6NnoA6CiisfW9baweKwsIRd6vdA/Z7fOAoHWSQ/wxjue/QZJoANb1trB4rCwhF3q90D9nt84CgdZJD/DGO579BkmnaJoi6Uks00xu9SuiGurtxgyEdAB/Cg6Ko6e5JJNE0RdKSWaaY3epXRDXV24wZCOgA/hQdFUdPckk61ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/e/8lB0X/sGX3/oy1roK5jWLyCy8daLLcTRxr/Zl+BvcLuPmWvAJIGaAOldwvAK7znapOMmhRjJJOWOcE9OO1URrWlAtnVrM5ORm4Tj260v9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv0VQ/tzSf+gpZf+BCf40f25pP/AEFLL/wIT/GgC/RVD+3NJ/6Cll/4EJ/jR/bmk/8AQUsv/AhP8aAL9FUP7c0n/oKWX/gQn+NH9uaT/wBBSy/8CE/xoAv1z9v/AMlD1D/sFWv/AKNnrR/tzSf+gpZf+BCf41yV34hSPx7dw6OItR1C50u3SCOOTKKRLPueRhnai5BPfkAZJFAHSa3rbWDxWFhCLvV7oH7Pb5wFA6ySH+GMdz36DJNO0TRF0pJZppjd6ldENdXbjBkI6AD+FB0VR09ySSaJoi6Uks00xu9SuiGurtxgyEdAB/Cg6Ko6e5JJ1qACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvNvip/x86N/uXH84qKKAPP6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACu5+Fn/IZ1f8A694P/QpKKKAPUKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/2Q==) +![md5:aa24b6ffd361094bfb5582485f15d72d](aa24b6ffd361094bfb5582485f15d72d.jpeg) As shown above, we can express \(t_{a}\) , \(t_{b}\) , and \(t_{c}\) in terms of \(d_{x}\) , \(d_{y}\) , and \(d_{z}\) using the Pythagorean theorem, which yields \(t_{a} = \sqrt{d_{y}^{2} + d_{z}^{2}}\) , \(t_{b} = \sqrt{d_{z}^{2} + d_{x}^{2}}\) , and \(t_{c} = \sqrt{d_{x}^{2} + d_{y}^{2}}\) . Hence, @@ -239,7 +239,7 @@ We can draw a right pyramid with legs \(d_{x}\) , \(d_{y}\) , and \(d_{z}\) whic Solution 2: Let the vertices of the hexagon be \(ABCDEF\) , where \(AB = 45\) , \(BC = 66\) , etc. Note that \(AB \parallel DE\) , \(BC \parallel EF\) , and \(CD \parallel FA\) . Let \(O\) be the center of the prism, and let \(M\) , \(N\) , and \(P\) be the midpoints of \(AD\) , \(BE\) , and \(CF\) , respectively. -![](data:image/jpeg;base64,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) +![md5:f74d2aed280dfd51da731ca27ca6a400](f74d2aed280dfd51da731ca27ca6a400.jpeg) diff --git a/HarvardMIT/md/en-282-2025-feb-guts-solutions.md b/HarvardMIT/md/en-282-2025-feb-guts-solutions.md index f9b465f04f189d95476620d433e282d69a819728..5ca6aa72e3c436f15104d75d21ee89d8896f283b 100644 --- a/HarvardMIT/md/en-282-2025-feb-guts-solutions.md +++ b/HarvardMIT/md/en-282-2025-feb-guts-solutions.md @@ -52,7 +52,7 @@ Answer: \(\sqrt{3}\) Solution: -![](data:image/jpeg;base64,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) +![md5:69fadc0b114370291d5cfb809590a975](69fadc0b114370291d5cfb809590a975.jpeg) The area condition implies \([ABC] = 2[PBC]\) . Hence, \(P\) lies on the \(A\) - midline of \(\triangle ABC\) . Therefore, the minimum possible value of \(PA\) is the distance from \(A\) to this midline. This is achieved by taking \(P\) to be the foot of the perpendicular from \(A\) to the \(A\) - midline. This distance is half the altitude of \(ABC\) , which has side length 4, so the answer is \(\frac{1}{2} (2\sqrt{3}) = \boxed{\sqrt{3}}\) . @@ -65,7 +65,7 @@ Answer: \(\boxed {2\sqrt{2} - 2 = 2(\sqrt{2} - 1)}\) Solution: -![](data:image/jpeg;base64,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) +![md5:2694b339b7413b14bf3ffd174cfea391](2694b339b7413b14bf3ffd174cfea391.jpeg) After drawing the graph, it's clear that the circle should pass through \((- 1,0)\) and be tangent to \(y = x - 1\) and \(y = - x + 1\) . Letting the radius of this circle be \(r\) , we have \(r\sqrt{2} +r = 2\) , so \(\boxed {r = 2\sqrt{2} - 2}\) . @@ -80,7 +80,7 @@ Answer: \(\boxed {2\sqrt {13}}\) Solution: -![](data:image/jpeg;base64,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) +![md5:932a7555b8a60afcb53d5e3fcf9e922c](932a7555b8a60afcb53d5e3fcf9e922c.jpeg) Let \(C^{\prime}\) be the reflection of \(C\) over \(D\) . Then, \(\overline{{E C}}\parallel \overline{{C^{\prime}F}}\) since \(E C F C^{\prime}\) is a parallelogram. Thus, \(B F C^{\prime}\) is an equilateral triangle, so \(B F = B C^{\prime} = 3\) and \(\angle F B D = 120^{\circ}\) . By Law of Cosines, we get \(D F = \sqrt{3^{2} + 3\cdot1 + 1^{2}} = \sqrt{13}\) and \(E F = \boxed {2\sqrt {13}}\) . @@ -121,7 +121,7 @@ Answer: \(\boxed{5}\) Solution: -![](data:image/jpeg;base64,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) +![md5:0d46ba45e4b43766265ed8aab827c8da](0d46ba45e4b43766265ed8aab827c8da.jpeg) Let \(O\) be the center of the hexagon. Without loss of generality, assume \(P\) is in \(\triangle ABO\) . Then, segment \(PQ\) is entirely contained in one of the given quadrilaterals if and only if \(Q\) is not in \(\triangle DEO\) . The probability that \(Q\) is in \(\triangle DEO\) is \(\frac{|DEO|}{|ABCDEF|} = \frac{1}{6}\) , so the answer is \(\boxed{5}\) . @@ -134,7 +134,7 @@ Answer: \(\boxed{2 + 3\sqrt{2}}\) Solution: -![](data:image/jpeg;base64,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) +![md5:a779607648888b3176dd8192def6d28b](a779607648888b3176dd8192def6d28b.jpeg) Let \(P_{1}\) and \(P_{2}\) be the two congruent pentagons. Let \(p(P)\) denote the perimeter of polygon \(P\) . @@ -209,7 +209,7 @@ Answer: \(\boxed{5 + \sqrt{5}}\) Solution: -![](data:image/jpeg;base64,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) +![md5:49af5caed6e82e485305f9f5f5390039](49af5caed6e82e485305f9f5f5390039.jpeg) In regular pentagon \(ABCDE\) (labeled clockwise), reflect \(ABDE\) across \(AB\) to obtain \(ABD'E'\) . Then, \(CDE'D'\) is one such parallelogram \(P\) . The length of \(CD'\) is @@ -228,14 +228,14 @@ Answer: \(\sqrt{13}\) Solution 1: -![](data:image/jpeg;base64,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) +![md5:ddd982a2b8a39ca0e846cc3a28985b3e](ddd982a2b8a39ca0e846cc3a28985b3e.jpeg) From \(\angle E = 60^{\circ}\) , we get that \(\angle AEF = 120^{\circ} - \angle CED = \angle CDE\) . Therefore, \(\triangle AEF \sim \triangle CDE\) . Since \(EF:DE = 2:1\) , the ratio of similarity must be \(2:1\) , so \(AE = 2CD = 8\) . Recall \(ABC\) has side length \(7 + 4 = 11\) , so \(EC = 11 - 8 = 3\) . Law of Cosines on \(\triangle CDE\) gives \(DE^2 = \sqrt{3^2 + 4^2 - 3\cdot 4} = \sqrt{13}\) . Solution 2: -![](data:image/jpeg;base64,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) +![md5:6bdde14db96ad51963d491cef9d82b2a](6bdde14db96ad51963d491cef9d82b2a.jpeg) Let \(\odot (DEF)\) meet \(AC\) again at point \(X\) . Then, \(\angle FXA = 180^{\circ} - \angle FXE = \angle FDE = 90^{\circ}\) and \(\angle XDC = 180^{\circ} - \angle DCX - \angle DXC = 120^{\circ} - \angle DXE = 120^{\circ} - \angle DFE = 90^{\circ}\) . It follows that \(CX = 2CD = 8\) , so \(AX = 11 - CX = 3\) , and \(AF = 2AX = 6\) . Thus, Law of Cosines on \(\triangle AEF\) gives \(EF = \sqrt{8^2 + 6^2 - 8\cdot 6} = 2\sqrt{13}\) , implying that \(DE = \sqrt{13}\) . @@ -370,7 +370,7 @@ Answer: \(\frac{3\sqrt{3} - 3}{2} = \frac{3}{2} (\sqrt{3} - 1)\) Solution 1: -![](data:image/jpeg;base64,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) +![md5:dcb968f470d9995223369f2d83efd4f0](dcb968f470d9995223369f2d83efd4f0.jpeg) Let \(O\) be the center of \(\omega\) , and let the two tangent lines intersect at \(P\) . Note that \(O\) lies on the external angle bisector of \(\angle CPE\) because the tangents are symmetric about line \(PO\) . Additionally, \(O\) lies on the perpendicular bisector of \(CE\) by symmetry. By Fact 5, \(COPE\) is cyclic and \(\angle COE = 90^{\circ}\) . To finish, observe that \(\angle COD = 45^{\circ}\) . Dropping the altitude \(CH\) down to \(AD\) gives \(OH = CH = \sqrt{3}\) . So, \(AO = AH - OH = 3 - \sqrt{3}\) . The desired answer is then \(\frac{\sqrt{3}}{2} \cdot AO = \left[\frac{3\sqrt{3} - 3}{2}\right]\) . @@ -417,7 +417,7 @@ Answer: 4 Solution: -![](data:image/jpeg;base64,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) +![md5:7a6b1d63c0cdadfc836209379f9acbdc](7a6b1d63c0cdadfc836209379f9acbdc.jpeg) Construct point \(P\) on \(A B\) such that \(X A = X P\) and point \(Q\) on \(C D\) such that \(X D = X Q\) . The angle condition gives \(Q C = X Q = X D\) and \(P B = X P = X A\) . Moreover, \(A D Q P\) is an isosceles trapezoid. @@ -541,12 +541,12 @@ Let \(M\) be the midpoint of \(AB\) . Note that because \(\triangle OXO^{\prime} by the Pythagorean theorem, which means that \(XY = AX^{\prime} = \left\lfloor \frac{11}{5} \right\rfloor\) . -![](data:image/jpeg;base64,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) +![md5:9f73282b07dbc89124eba6f1161ff910](9f73282b07dbc89124eba6f1161ff910.jpeg) Solution 2: -![](data:image/jpeg;base64,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) +![md5:79e94bdb5b607f1c5bb5ad0a8ff2bf6a](79e94bdb5b607f1c5bb5ad0a8ff2bf6a.jpeg) Let \(M\) be the midpoint of \(AB\) . We will find \(MO\) first. @@ -603,7 +603,7 @@ Answer: \(\frac{\sqrt{5}}{2}\) Solution: -![](data:image/jpeg;base64,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) +![md5:8ed7b13c95d2c464ecbb46a164de476c](8ed7b13c95d2c464ecbb46a164de476c.jpeg) We can square both sides of the second curve to get \(x^{2} = \frac{y^{3}}{1 - y}\) , which further rearranges to diff --git a/HarvardMIT/md/en-282-2025-feb-team-solutions.md b/HarvardMIT/md/en-282-2025-feb-team-solutions.md index 342bc28d28977bd0394e85a59f618003692054e3..ed4403a9cffdcc05000fd13d0368d6c672072e92 100644 --- a/HarvardMIT/md/en-282-2025-feb-team-solutions.md +++ b/HarvardMIT/md/en-282-2025-feb-team-solutions.md @@ -40,7 +40,7 @@ Proposed by: Pitchayut Saengrungkonkka Solution 1: -![](data:image/jpeg;base64,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) +![md5:d98306254a4727f82e4d13898cfcfd32](d98306254a4727f82e4d13898cfcfd32.jpeg) Let \(O_{1}\) , \(O_{2}\) , and \(O\) be the centers of \(\omega_{1}\) , \(\omega_{2}\) , and the circumcircle of \(\triangle AXY\) , respectively. @@ -53,7 +53,7 @@ Remark. One may also consider the antipodes of \(A\) on \(\omega_{1}\) and \(\om Solution 2: -![](data:image/jpeg;base64,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) +![md5:ae48eed2043117eba1dbe2e28f2c5e1a](ae48eed2043117eba1dbe2e28f2c5e1a.jpeg) Let \(A^{\prime}\) be the \(A\) - antipode in circle \((A X Y)\) . It suffices to show that \(A^{\prime}\) lies on a fixed line. We will show that this line is one that is parallel to \(A B\) . @@ -115,7 +115,7 @@ Proposed by: Pitchayut Saengrungkonka Solution 1: -![](data:image/jpeg;base64,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) +![md5:034f5986e2970ee1d6cd8c5f3ebb9d68](034f5986e2970ee1d6cd8c5f3ebb9d68.jpeg) We use \(\angle\) to denote directed angles. Let \(Y\) and \(Z\) be the feet of the altitudes from \(B\) and \(C\) to \(AC\) and \(AB\) , respectively. Then \(\angle HZF = \angle HXF = 90^{\circ}\) , so \(HZFX\) is cyclic. Similarly, \(HYEX\) is cyclic. Therefore, @@ -133,7 +133,7 @@ Proof. Because \(HX \perp EF\) and \(HE \perp HF\) , the quadrilateral \(HE'X'F' From the claim, \(X'\) lies on the circle with diameter \(BC\) (which \(B'\) and \(C'\) also lie on). Since this circle is invariant under the inversion, \(X\) lies on the circle with diameter \(BC\) as well, and \(\angle BXC = 90^{\circ}\) . -![](data:image/jpeg;base64,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) +![md5:fce69e9afe523959d3e7279c83798c3e](fce69e9afe523959d3e7279c83798c3e.jpeg) Solution 3: We begin by proving the following lemma. @@ -146,7 +146,7 @@ Proof. Let \(P_{A},P_{B},P_{C},P_{D}\) the feet of the altitudes from \(P\) to \ Therefore, \(P_{A}P_{B}P_{C}P_{D}\) is cyclic as desired. -![](data:image/jpeg;base64,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) +![md5:566f3a0c1030d06209b8a6b669b29550](566f3a0c1030d06209b8a6b669b29550.jpeg) @@ -237,7 +237,7 @@ Claim 1. Line \(IY\) is tangent to \(\omega\) . Proof. Let the line through \(I\) parallel to \(BC\) meet \(AB\) and \(AC\) at \(B^{\prime}\) and \(C^{\prime}\) , respectively. Notice that \(B^{\prime}L\) is the perpendicular bisector of \(BI\) , so \(B^{\prime}L\) externally bisects \(\angle AB^{\prime}C^{\prime}\) . Similarly, \(C^{\prime}L\) externally bisects \(\angle AC^{\prime}B^{\prime}\) . Hence, \(L\) is the excenter of \(\triangle AB^{\prime}C^{\prime}\) , which means that \(B^{\prime}C^{\prime}\) is tangent to \(\omega\) . \(\square\) -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAJOAgcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKRmVFLMwVQMkk4AFYL+MdKkkaLTPtGrzKcFNOi81QfQycRqf95hQBv0Vz32jxXf58my07SYz0e6kNzL+MabVH/fw0n/CM3N1zqniLVbnPWO3kFpH+HlAP+bmgDduLmC1iMtxPHDGOryOFH5msZvGvhoOUi1i2uXXgpaMbhgfTEe406Dwd4ct5RKNGtJZh0muI/Ok/wC+3y361tIixoFRQqjoAMAUAYP/AAl1vJ/x7aTrlx7jTJYv/RgWj/hItRf/AFXhHW2Hqz2qD9Zs/pXQUUAc/wD23rh+74Tux/v3luP5OaP7a10dfClyf928gP8ANhXQUUAc/wD8JDqif6zwhrIHrHLaMP8A0dn9KP8AhLI4/wDj50TXYPX/AEB5f/RW6ugooA5//hNvDiY+06ktl2/06J7X/wBGha17TULLUI/Msry3uU/vQyhx+YNWSARg8ise88KeH7+XzbnRbB5v+e3kKJB9HAyPzoA2KK57/hFBbHOma3rFjjon2r7Qn02zB8D2GPwpP+KtsB10vV4x2+e0lx/4+rH/AL5FAHRUVzx8X2lpxrVne6OR1e7izD/3+QtGPxYH2rct7mC7gSe2mjmhcZWSNgysPYjg0AS0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFVNR1Oy0mza7v7mO3gBA3OcZJ6ADqSewHJrG+169r3FhE2jWDf8vV1GGuZB6pEeE+r5P+xQBraprOnaNCsuoXccAc7Y1Y5eRvRFHLH2AJrK/tLxBq/Gmacum2x/5e9TUlyPVYFIP/fbKf8AZNXtL8OadpUzXMUbz3zjEl7cuZZ3HoXPIH+yMAdgK1aAOeXwhZ3LCXWri51mUHO29YGEH2hUCP6Egn3rfjjSKNY40VEUYVVGAB7CnUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWFc+EdLkne5sll0u7c5a405/JLH1ZR8j/8DU1u0UAc4ZfE+kf66GHXLUfxwYgugPdCfLf8Cn0NX9L8Q6Zq8rwW1wVu4xmW0nQxTR/7yNhse+MHsTWpWfqmiadrMaJf2qytGcxSglZIj6o64ZT7gigDQorm/K8QaCMwyNrtgv8AyylKpdxj/ZfhJfo20/7TGtPStbsNZjkNnMTJEds0EilJYW9HRsMp+o57UAaNFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVWv9QtNMtGu72dIIFKgyOcAFiAB+JIH41ZrzT4n3UeqeEddUJclLCLfAy20jI0yMGZ94XbhcFevB356CgD0uio7eZbm2inT7kqB1+hGaZe3ttp1nLd3k8cFvEu55JGwFFAE9c/deIZru6k0/w9bpe3UbbJ7mQkW1se4Zh99h/cXn1K9ar+Vqfiskzi40vQz0hBMdzdj1c9YkP90fOe+3kHorS0t7G1itbSCOC3iXbHFEoVVHoAOlAGVp3huG2vF1HUJ31LVQCBdTqAIgeoiQcRj6cnuTW3RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWVq3h+y1aSO4fzLe/hGIb22bZNF7Bu6+qsCp7g1q0UAc0utX+gMIfEao9p0TVoF2x/wDbZOfKP+1ynuvSukVldQysGVhkEHIIoZQylWAIIwQe9cy+kX3hxmuPDqedY53S6QzBVHqYGPCH/YPyHtt60AdPRVHStWs9ZtPtFnISFYpJG6lZInHVHU8qw9DV6gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCve20l3ZyQRXc9o7jAmg2b1+m5WH6Vn3fh2G88KP4ee8ultpLY2sky+X5rIV2nOVK5IPUCtis3WdZg0a1R3jee4mfy7a1iwZJ5OyqD+ZJ4ABJ4FAHE+KfiPo3wtXStBu01DUZfIUhh5e9YgSoJ+6CflIAwOnJ9eh0awl1/7J4g1hklDqs9jZId0NsrDKsf78mD948DouOSeH8deDU1e50y715FvdWczXDxxuwijgijZvIQcZG5lyx5J9BwOutb2fwlBEtxJJeeGyo8m7OWlslxwJO7x46P1X+LI+YK+thtWipd9Py/zOxopsciSxrJG6vG4DKynIYHoQadTEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBiatoTz3Q1TSp1s9XRQvmkZjuFH/ACzmUfeX0P3lzweoMmi66mqNLa3EDWeqW2PtNnIclM9GU/xoezD6HBBA16yta0RNVWKeGZrTUbbLWt5GMtGT1BH8SHup4PsQCADVorG0XWpL2WXTtRhW11e2AM0AOVkXoJYyfvIfzB4PNbNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVBe3ttp1jNe3kyw28CF5JG6KBQBX1jV7fRbA3M4d2ZhHDDGMyTSH7qIO5P8AiTgAmqWi6RcLdPrOrlJNWnTbtU5S1j6+VH+hZurEZ6AAQ6NZXOpXw8Q6tC0UxUrY2knW0iPdh/z1Yfe9BhR3J6KgDmroC6+IECMAy2mlSEg9P30qD/2gf1qfw4SNFjtH5azd7Rs+iMVX81Cn8ag039/4y8RXH/PIW1nn/dQy4/8AI9TWX+jeI9Ttui3CR3afXHlt/wCgIf8AgVGzTBe9CpHtZ/dp+t/kUTZXnhWRrjRoHutIYlp9LT70Oer2/wDMx9D/AA4PB6PTtRs9WsY72xnSe3kHyuv5EEdQQeCDyDwadWBfaPdWV9Jq+gGOO8c5ubSQ7Ybz/e/uSY6OPowIximjGFTozp6KzdG1y11qCRoRJDcQtsubWYbZYH/usP5EZBHIJFaVSbBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZWt6KurRRSwzG11G1YvaXajJibuCP4kPRl7j0OCG6HrLaks1rdwi21S0IS6ts5Ck9HQ/wASNgkH6g4IIGvWLrukTXTw6npjJFq9oD5LtwsyH70Mn+w2Ov8ACcEdMEA2qKz9G1eDWtOW6hV4nDGOaCTh4JF4ZGHqD+fBHBFaFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXLx/8VVrXnE50TTZsRjtd3KnlvdIyMD1cE/wjM/iK7uLq4g8PadK0V3eqXnnQ821sOGcHszfdX3JP8Jrbs7S3sLOGztYlit4EEccajhVAwAKAJqKKRmCKWYgKBkk9hQBzXhf98msXn/Pzqtxz6+W3k/8AtKp9T/0fWtJvOgZ3tHPs67h/49Go/GoPBat/whulTMMPcwC6YH1lJkP6tVrxFE8mhXTxDM0AFxGB3eMhwPxK4/GnP4ScO/36T66ffp+pqUUyGVJ4Y5ozuSRQyn1BGRT6o5mmnZmRq+h/bZ49QsZzZatAu2K6Vchl67JF/jQ+h6dQQeak0bxB9tuG03UYBZaxEu57ctlZV6eZE38afqOhA76dZ+raPa6zbpHcb0libzILiJtssD9mRux/Qjggg4oaLhOxsUVzena5dWF7FpHiEotxIdlrfou2K79iP4Jf9noeq55A6SoN077BRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOa1uGTQtQPiSzRmgKhdUt0GfMiHSZQP40HX+8uRyQtdFFLHPCk0LrJFIoZHU5DA8gg+lPrmdLz4b1r+wnONNvC0umMekbD5nt/oOWT/Z3DogoA6aiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKq6lqFvpOm3F/dsVgt4y7kDJOOwHcnoB3Jq1XNXv/E+8VQ6cPmsdJKXV16PcHmKM/wC6P3h9/LoAteG9PuLe3m1HUVxqmosJrhc58ofwQg+iLx7sWPetuiigArG8W3TWXg7WriP/AFiWUxjHq2w7R+eK2a57xp+80KK1HW7vrSAj1Uzpv/8AHA1AM0rK1WysLe0T7kESxr9FAH9KmIBBBGQeopaK0OQyfDZKaOtox+ayke1OfRGIX812n8a1qyLP/RvEuo2/RbmOO6X3bHlv+iJ+da9RD4bdjoxWtVy/m1+/X89AoooqzmK99Y2up2UtnewJPbyja8bjIP8An17VhxaheeE2EGrTSXeiE4i1FzuktfRZ/VfST/vr+8ekpGVXUqwDKRggjIIpNXKjJxLCsrqGUgqRkEHgilrkRbXnhFjLpsMl3oecyaeg3SWvq0A/iT1j7fw/3T01jfWup2UV5ZTpPbSruSRDkEf57VDR0xkmtCxRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKztc0lNZ0uS1MhhmBEkE6j5oZVOUcfQgcdxkdDWjRQBl+H9WbV9LEs8QhvYXaC7gBz5Uy8MB7Hgg91YHvWpXN6iP7C8TW+rL8tlqJSzvfRJekMp+pPln13J2WukoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKOsanFo2kXWoTKzJAhYIv3nboqj3JIA9yKr+G9Mm0vR0S7ZXv52a4vHXo0znLY9h90eygVS1PGr+KtP0ofNb2IGo3Q7FslYFP/AAIO/wBYl9a6OgAooooAK53xH++1vw1a9vtr3Dj1VIJB/wChOldFXOXf7/x/ZL2tNMmcj3lkjCn8on/M01uTP4WbdFFFWcpkap/o+saTe9AZHtZD/syLkf8Aj6IPxrXrM8QwvNoN0YhmaFRPEPV4yHX9VFX4JkuLeOeM5jkQOp9QRkVC0k0dNT3qMJdrr9f1f3ElFFFWcwUUUUAFc/eaTd6Zey6t4fCCWVt93p7ttiuz3YH+CX/a6Ho3YjoKKQ02ndFbR9as9btWmtS6vG2yeCVdssD91dex/QjkEgg1o1z2q6G1zdLqemTiy1eJdqz7cpKv/POVf40/VeoI5zY0XX11GWSwvIDZatAu6a0ds5Xpvjb+ND6jp0IB4qWrHRGakbNFFFIsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAq6lp9vqumXOn3SloLiNo3wcHBHUHsR1B7Gs/wxqFxe6SYb5gdRsZGtLsgY3SLj58dg6lXHs4rarnLv8A4lHjO1vAcWurp9km9BOgLRN+K+YpPsgoA6OiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkJCgkkADkk9qWsDxjLIfD72EDlLjU5UsI2XqvmHDsPdU3t/wGgBvhFTd2NzrkgPmatOblM9oB8sI/79qrY9WNdDTIYo7eGOGJAkcahEVeigDAAp9ABRRRQAVzdh+/8a69cdRDDa2n0Kh5T/6OH6V0lc14a/fSa5ef8/Oqzc/9cgsH/tKmtzOp8Ju0UUVZzgRkYNZHhs+XpP2M/espXtf+AoxCf+ObT+Na9c3catY+Htevvt9wIYrxI54VALNLIAUZUUZLNhU4AJqJaSTOml71KcPR/dp+Tb+R0lFc99t8Q6tj7BYxaVbH/l41Ab5SP9mFSMf8CYEd1pf+EStrrnWL6+1Vj1S4m2RfTyo9qEfUE+9Uc9i1e+J9B02XybvWLKKbp5JmUyH6KDk/lVb/AITDTX/497bVrj3i0q4Kn/gRQL+tatjptjpkPk2FlbWkX9yCJUH5AVaoDQwP+Ep7jQtcI9fseP0zmj/hLrJP9fp+tQe7aVcMPzRCK36KA0MS38YeHbmYQrrFpHMekM7+VIf+Avg/pVnVtHtdagiZneK4hPmW13A2JIW/vKffuDkEcEEVdnt4LqFobiGOaJuqSKGB/A1it4O0mJi+mrPpMnXdp0phXPqYx+7b8VNAEuma7c297Ho+vrHFfPxbXUYxDegf3c/dfHVCfcEjOOirjNQ07W/sUlnfQ2viLT3+8hAtrkY6EEfIzA8gjy8HkGqWi+NY9Mu/7L1e6maBcBLm8Qx3FuM4C3Cnt2Ewyp7kHlpaN4TvuegUUA5GR0opGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWV4k02TVdAura3YLdgCa1c/wTIQ8Z/76UfhmtWigClpGpRaxo9nqMIKpcwrIFPVSRyp9weD9Ku1zvh0/YdV1vRTwsFx9sgH/TKfLH/yKJh9AK6KgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACueus3/juwt+sWm2j3bj0klJjjP/AHys/wCddDXP+HP9K1PX9TPIlvjbRH/YhUIR/wB/PN/OgDoKKKKACiiigAJwMnpXM+C8t4Q064PW7Rrw/WZjL/7PWh4ovDp/hPWLxc74LKaRcdyEJH61JptoNP0u0sl+7bwJEMeiqB/SqiZVdkWqKbLLHDE8srrHGilmdjgKB1JPYVzASfxkd8vmW/h3+CPlJL8erd1i9F6v3wvBZiTSa1e63K9t4cEYgUlZdVmXdEpHURL/AMtW9+FHqSCtQ/2JbaFq2m6isk9zdTTG2uru5ffJIHU7fYDeFAVQANxwK6eOOOGJIokVI0AVUUYCgdAB2FZ/iCB7jQrsRDM0aedEP9tCHX9VFTNe6dGGklVSez0+/T9TSoqK3nS6toriI5jlQOp9QRkVLVHO007MKKKKYgooooAKKKKACs/WND03XrT7NqVqkyDOxuVeMnjKsOVPuDWhRQM4S0TWfh2NjNPrPhZT1C7rrT19do/1kY9AMqOgwK7uxvrXUrKG9sbiO4tpl3RyxMGVh7GiuSvNFv8Aw3fTaz4WiEkUreZfaNu2x3B7yRdo5fX+F+/PNS0awqdGdrRWZoWvaf4j01b7Tpi8e4pIjDbJC46o6nlWHcGtOpNgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOe1P8A0Hxhot8OEu0l0+U+5Hmxk/Ty5AP9+uhrn/GoaPwvc3yKTJpzR3646/uXEjD8VVh+Nb6sGUMpBBGQR3oAWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAZNKlvBJNI22ONS7H0AGTWL4MiePwdpbygia4hF1KD1DykyN/485pPGsrxeCtYER2yy2rwRn0aQbFP5sK24okghSKNdqIoVR6AcCgB9FFFABRRRQBz3jT5/Dv2Udbu7tbbHqrzorf+Olj+FbNYviT99qvhy07PqBlcf7McMjD/AMf2VB4guJr67h8O2MrxzXSGS7njOGt7YHBIPZnPyr/wI/w1SMamrsQMv/CYX7K3Ph+0k2kdr6ZTzn1iUjH+0w9B83UVFbW0FlaxWttEkUEKBI40GAqgYAAqWmZBRRRTEZHhz91pbWR62U0ltj0VW+T/AMcKVr1kW3+jeKL6Hot3DHcr7svyP+gjrXqIfDbsdOK1quf81n9+r/G6CiiirOYKKKKACiiigAooooAKKKKAOG8U6DfaTqbeLvDLeTfKoGoWwUtHeRjuyDqy+3zY6c8HpfDnie08QwYUeRepGsklszBjtb7row4eM9mHB74OQNSuGvNDgsNchsxI9pb3Ujy6XeQ4D2Vycs8Q7FHALBTwSGH93EtGsJ20Z6DRXP6Vr063qaPrscdtqZB8mRMiG8A6tGT0buUPI7ZHNdBUm6dwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAiubeO7tZraUZjlRo3HqCMGsjwdPJceDtJMzbp47dYJj6yR/I/8A48prcrn/AAoPJj1iy/59dVuAB6CQif8A9q0AdBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc/4w/eaXZW3/AD8anZofcCdHI/JDXQVz/iX59R8Mw/8APTVR/wCO287/APsldBQAUUUUAFFFFAHLa1dwW/i+0uLmQJbadpd1czMei7miAP8A3yklS+GLOdbSbVL6MpqGpuLiZG6xJjEcX/AVwD/tFj3rntYH9sfEabSAN0TxWwuR6Qwl5mH/AAJ5YFI7gmu9qkc9TcKKKKozCiiigDI1b/R9T0m97LObZz/syDA/8fWOtes7X7d7nQrxIhmZU82L/roh3L/48oq5a3Ed3aQ3MRzHNGsin2IyKhaSaOmfvUYS7XX6r839xLRRRVnMFFFFABRRRQAUUUUAFFFFABVDWtLTWdJnsncxM4DRTL96KRTuRx7qwB/Cr9FAzAsfs/i3w2sWq2y+ejmK5iUkGG4jOGKMOVIYZVhg4INNttXvPDs8djr8xmsnYJbasQAMngJPjhW7B/ut/sngiD+yvG8iDi21iHzB6C4iAB/Foyv/AH6Nbs8EVzBJBPEksMilXjdQysD1BB6ila5Sk4suUVyKNeeDegmvfDw/h5kmsB7d5Ih6csvuPu9Tb3EN3bR3FtMk0Eqh45I2DKynoQR1FQdCaa0JaKKKBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/o/wC68W+JIP7729z/AN9RCPP/AJB/Sugrn7b5PiFqY7S6XaH8VluM/wDoQ/KgDoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDn9e58ReFh6X8rf+Ssw/rXQVz+vceI/Cx9b6Zf8AyVmP9K6CgAooooAKKKKAOD8IQi88YeMdbJJ334sY89hCiqxH1OAf9yu0rl/h55kngmyvZlxLfyTXz8dfOleQH8mFdRVo5ZO7YUUUUyQooooAKyPDn7rTpLE9bKeS3A9FByn/AI4yVr1kW/8Ao3im8h6Ld26XC+7Idj/oYqiWjTOml71OcPR/d/wG2a9FFFWcwUVyK3N9ffE25sIdQuE06x0+Oa4hTbtM0jnYM4yBtRiRnnNddSG0FFFFMQUVmXviLSNOuTbXd/FFOACYySSAenAqzYalZapA01jcxzxq20shzg9cfqKt0qijzOLt3sBaoooqACiuF8ak6F4h0DxK08yWCXQtdQj85hGFkG1JWGdo2sBzjo1dCliNX1CHVLjz44oQRawiR03AkHfIoIz04U9ByeThUOxB4xBg0VNVUfPpVxHe59EU4l/8hNIPxroKgvbSO/sLizmGYp4micezAg/zrO8KXUl74S0m4mOZmtIxL/vhQG/8eBoDobFc5Npt54euZL/QIvOtZGL3WlZADk8l4SeEfuV+63seT0dFA02ndEWlatZ6zYrd2MvmRklWBBVo2HVWU8qw7g8irtc3qWizrfNq+iSpbapgCVXz5N2o6LKB39HHK+44N/Rdeg1hZYWie11C3wLmymx5kRPQ+jKezDg/mBLVjojJSNWiiuT0/U7vxbq+oC0uXtNE0+4a0Lw8SXky/fw38Mak4yvJIPIAwUUdZRXM3VtrenapLLYTT3WnxafK8VrI+5nusjYu9vmK4B4J4J69ANXQdLbRtBstPed7iSCMCSZySZHPLNz6sSaANGiiigAooooAKKKKACiiigAooooAKKKKACufXj4hv76Uv6Sn/Gugrnxz8Q29tKH/AKNP+FAHQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHP+JPk1TwxN2TVSD/AMCtp0/mwroK5/xd+7sdOuf+eGq2ZJ9A0yxn9HroKACuZtNd1W/8TazpVta2Yi00xAzvI3ztIpbbgDghdpPP8Qrori4htIHnuJo4YUGWkkYKqj3J6V5n4Vv/AA/d+HtU1rUNXMUurX1xdGOC/eOUR7ikahEYEtsRcADJzQBtHxDqHiTS5rKwiksb5dXOmzzwvvWNYyHkkRsDgoCoyBhjit/xVeNp/hDWr1Dh7ewnlU+hWNiP5VS8Aw38HgjTI9TtEtLoIxaFYljKqWJXcq4AYrtLD1Jrifj9pOsaj4RtJ9OuStpbz4urcPt83eVVD74OePfPagDvfDFqbHwno1oesFjBEf8AgMaj+latcT4HtNZHhLT7W61xjeW0KxzI0CsV4yoyeSNuMHvXRfYdU/6DJ/8AAZK1cWnZkSoKLtKaT/7e/wAjUorL+w6p/wBBk/8AgMlH2HVP+gyf/AZKLC9jD/n4v/Jv/kTUorL+w6p/0GT/AOAyUfYdU/6DJ/8AAZKLB7GH/Pxf+Tf/ACJqVkav/o+oaTfdkuDbuf8AZlG0f+PiOn/YdU/6DJ/8BkqlrGk6rcaRcouqmRwnmRp9nUZdfmXkf7QFRNXibYanTjVV6is9H8Wz0fTzOhpsjFI2ZUZyASEXGW9hkgfmax7OLUb2yguotZPlzRrIv+jJ0IyP5064gvrW3kuLjXlihjUs8j26BVA6kmq03uZSoRi2nNaf4v8A5EzPCNjqMOq+I9R1TT5bSfUL7fEXkjbMCIqRj5GbBwCT/vV0FlqllqMk6Wc6z+Q2yRkBKBvQN0JHcAnHfFeIeIvBHjvxZ44h1mxu5RpTlVhmuJfI2RgANmIHIDcnGMkHnFejw3Gr6TAlvfiaxgjG1ZLO0SeBQPTYAyj6oAPWmnDld9/w/r7iOSLes0vv/wAvzN+/0b+0rnfcajfLbYA+ywTeSpPclkw5+m7HtVqw02z0u3MFjbRwRltxCD7zepPUngcms2yNxqMAnsvEcVzEeN8UMbDPpxUstvf28Zkm11Y0HVngQAfiat1JSjy82nboP2VPf2i/8m/+RNeiuXOpO3Fvrst2f+nSw84f99KCB+Jo8zxHJ/qBdY7NPHBGD+TE/pU8pPLS6VF90v8A5E1b/wAP6dqNx9pkieK6wB9pt5WhkwOnzIQSPY5FWdPtJbK3MMt9PeYbKyThd4HplQM/UjNYiWvi1/vX9lF+G/8A9kFTDTfEhHzeIYF9l08H9d1W6k3HkctP627AqcHtNfdL/IzvFMc/iWeDRdPksm+y3kFzewXMzxO8aOH2qvlnKkhfm6cEV2AzjnrXn/jXwb4j17w5cQ22uxyagg3W5+yrCwORuAkByuRke/Q1nfDPwd4z0Dw09rqet/Y2aYvHalFufLXAH3s8ZPYHHfuaiShdco+SO3Mvx/yueo1geDvl0OaHtDqF7EPZRcy7f0xSnTPEY+74ihP+9p6/0asDw7beJTZXrWt9ZlRqN2CGXbuYTMGP3WxkgmlbzH7OCXxr7pf5He0Vy+7xPF/rhKw7m2EL/wDoRU0f2jcRnF1q13aHubjTtqj/AIHjb+tPlJ5aXWovul/8idRWVq+hxam0VzFM9nqVvn7NexAb489VI6Mh7qeD7EAiK2S7vY/MtfEMc6f3ooY2H5ipvsOqf9Bk/wDgMlKxapw3VRf+Tf8AyI3SNflkvBpGswpaasFLIFJ8q6UdXiJ6+6n5l9xgmh4YsrvwnY3OkSWFxcQrdzTW08G1hKkjlwGyQVYbiDnjgHPYZvjvw9qmqeDdRiXV08+KPzoXeBV2OvOQw5U4BGR61z3wntNd8CWs2neL2mggv5UNk8kokiik5BRmBOxmyuAeDjGc8VDi1r0NGkle9/S/6pHqtit2RLNdna0r5SEEERLgALnuepPucDIAJt0UVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXP2/z/ELUD2i0q1/8eln/APiK6Cuf0n974x8RT/3Ba22f91Gkx/5F/WgDoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDA8bqx8FatKgJe3gN0oHUmIiQfqtbysroGUgqwyCO4qK7to7yzntZRmOaNo2+hGD/ADrK8H3D3Pg/SXlOZltUim/66INj/wDjymgDbooooAK5bxtb/wBoppGldru8YN/upBK+f++gn511Nc7qH7/xzpMXVbexuZ29mLRIv6eZTRMnZMPCrxXnhjR9Q8tRNNp8G5sc42A4P0JNa8U0cwYxOrhWKNtOcMDgj61h+ED5WkT2B4awvbi2x6KJC0f/AJDZD+NaElnJDqC3lptHmELcxk4DjpuH+0P1HHpjWNpbsyilJtSevT/Iv0UUVJkFFFFABRRVHVNVg0uJC6vLcTHZBbxDMkzeij+ZPAHJIpXsBm6ZqFto+i3Ed3J5aWFy9uBgkkE7o1UDkkqyAAcmsy0tNT8V64bvWLeS00ixlBtrB+DNKOQ8nqF4wOmfXGW50+MNC0P4kS23iO6VtUnSIpHBE7xWUrAjZ05Zk8sb8Z6jgHFd/wCfqmof8e8Q0+A/8tZ13Sn6J0X/AIEc/wCzToScFf5Ly/4Nv6vtripqVTn76/N7/iaNzdW9nCZrmeOGJeryMFA/E1n/ANrzXXGm6fNOD0mm/cxfmRuP1CkVLb6NaQTC4kD3N0Ok9w29x9Oy/RQBWhT0Oe0n5HNXPhQ6ndi8vbkWtz/z00xPJk+jS8sw/L6VBH4avdLm8+3a21jByP7TB88fSYAj8Nv411lFSHs4mIviW1tiI9Vt7jSm6brpR5X4SqSn5kH2rZjkSWNZI3V0YZVlOQR7GlIDAggEHgg1jSeGbFJGl05ptLmY5LWT7FJ9TGQUY+5Umlqi9TaorD8zxDp/+sht9WhH8UJ8ibH+6xKMf+BL9KmtvEemzzrbSyvZ3bcC3vEMLsf9ndw31UkUXQXNaq99ZQ6jZS2lwG8qVcEoxVh3BBHIIOCD6irFFWm4u63AytFnvgJ9P1FXe5tCoFzswtxGc7X9A3BDDsRnoRVXwZ83htZx0ubq6uR9JLiRx+jCtDW9QGk6DqGokZ+y20kwHqVUkD9Kg8LwxW/hPR4YJBLEllCqyA53jYOfx61U3ztzSsvwuPoa1FFFQIo3Ojaddv5k1nEZe0qja4+jDBH51B/Zl5bc2OqTAdorseev58P/AOPGtWii7JcI7mJdz3TQeRqmnSNDuVmlsm81TtYHlcBsHHIAP1q6s2m65ZTQBoLy3dSk0TYYYPVWU9PoaSwnluru9lL/AOjpIIYl7ZX7zf8AfRI/4DTrzSrO+cSyw4nUYWeMlJF+jDB/DpVzVvdZdSNSn7l72/WxjJcXng75bl5r3w8PuzNl5rEej93iH977y98jkdXFLHPCk0MiSRSKGR0OVYHoQR1FYm3VtP8AusNStx/C+EnA9jwrfjt+prFtZG0aeW48PI81nkvd6Gw2Sw5PLwq2Np7lPut1Ug9c3Hqi6dZN8stGdxRVTTdTs9XsY72xnWaB8gEZBBHBUg8qwPBB5B61bqDoCiiigAooooAKKKKACiiigAooooAK5/wsfOk129/5+NVmAP8A1yVIP/aRrelkSGJ5ZGCoilmJ7Adaw/BUbp4N0yWQFZLmL7XID1DzEytn8XNAG9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/4Y/0a41zTDx9l1GSRB6pMBNn6bpHH/Aa6CuekP2Dx9C/SLVLExE9vNgbco+pWV/8AvigDoaKKKACuct/3/jrVpeq29lawD2YtK7fo0f5V0dc34f8A32o+IbvqJtSKKfaOKOPH/fSN+dNbkVPhI7X/AIl/je/tzxHqdul3H7yx4jk/8dMH5GugrA8WRvBY2+tQIWm0mb7UVUZLxYKyr7/IzED+8q1uRSpNEksTh43UMrKcgg9CKo52VL+8msHjuGUNZAYnIHzR+j+6+vp19aughlDKQQRkEd6UgEYIyDUA+zWFqifJBAmEUZwoycAfmQKu6aSS1NG1KKSWv5/8H+vWeiiub17xN9kuRpelp9o1N+CAu5YcjPIHVschcj1JUc1Bi2krsv6trS2DLa28YuNQkUskO7aEXu8jfwIPXv0AJ4rJ0yG6uJnu7V1uLuYbZdVnQhAv9yBM/cH1wepLGptJ8MbFabVHM8srCSSNm3B27NIf4yOwwFXoBxmulot1ZFpS30R5Vq3wz01/Hlv4m1BZ5UW7t0bfICLhyCPMYAcfOYl2jAwp45rrfiBf3en+FXbTrp7bUJ7iG2tXTH+skkCDOQQQASfwq/dSr4g8JSXFkHH2m38633DB3Y3IfzANYWtQ3nibVfCskWlSz6LFN9uuJd8W0kxERjaX3EAuSeO3enO6qOLVv+Bozs5U6MZLo2v1X6/cS6teXum6zolnpGpXF9c3F2i3dtIUkUW2D5krELlMcYOQCeMGuxqOG3ht02QQxxL1wihR+lSUjAKKKKYgooooAKhubW3vYGguoIp4W+9HKgZT9QamopAYf/COmz50fUbmwx0hJ86D6bG+6PZCtH9pazYcajpYuox1uNObd+JibDD6KXrcopW7BY5HWdY0/wAQf2fotlcrLJd3kZuYSCskcUf71t6NhlB2BOR/HWzoVlPpsN3ZyKBbR3LtaEEHMTYfGO21mZQPRRWRBp1n4o8Q6jqF7bpPaWf+gWZYch1OZpFPUHdhMjn92fWp5be+0vUrax07VpnM8ckkcGoL58eEK5AkyJAfnGMluh4rSEp2cEr3/Tr91weh0tFYf9vXFlxrGlXFsB1uLbNxD+ajeB7soHvWpZ39nqMAnsrqG5iP8cThh+YqE0wuWKKKzrp3n1iztEZgsYa4mwcZA+VVP1JJ/wCAVcY8zNKcOd29X9xdggitoRFCgRBkgD3OT+pqSiipbbd2Q227sKqXunWuoKvnx/OnMcqEq8Z9VYcirdFAmk1ZnF6hpmtaFfPq+lMLiRsfaAFwLlR/z1RRywHSRBuHQqwrpPD3iSw8SWbTWjFJoyFntpMeZC3occEejDIPY1oVz2r+Fkur1dW0qc6drEf3biMfLIO6yL/Ep7/geoFDSY4TlDzR1NFYWi+IGvLhtN1OAWWrxjLQk5SZf78TfxL7dRyD6ndqGrHTGSkroKKKKRQUUUUAFFFFABRRRQBg+M5JF8JX8ELbZ7xVsoiOoeZhECPpvz+FbcUaQxJFGoVEUKqjsB0FYOs/6b4o0HTRysTy6hMP9mNdiA/8DlVh/ue1dDQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXPeMQbfR4tXQEvpNwl6cDny1ysv8A5CaSuhpksUc8LwyoHjkUqynoQeCKAHKwZQykFSMgjvS1geD5XTRm0udi1xpMrWLlurKmDGx92jMbfUmt+gArmvB37zw1Dc/8/c093n1EszyD9GFa2t3v9m6DqN/nH2a1lmz6bVJ/pVbQrL+zfD2mWOMfZrSKHH+6gH9KqJlV2NAgEEEZB7Vznh1jpF5ceGZThbZfO08n+O1J4Ue8ZOz/AHdh710dZHiDS5r63hurBkTVLJ/OtHbhScYaNv8AZcZU+nB6gUzFGvTJoY7iF4ZkV43BVlYZBB7VS0rV7fVtLW+TMIGVmjl4aB14dH9CDnP59K5q+1S+8WXR0zRXaDTsf6RejILqf7vop7Hq3UYXku9noS58mvUjl1jVLq6m8O6BMtwY22vqJOfIToVJIwzg5G7np0JBx0WheHbPQbcrCDJcPzLcPy7knJ5PbPPueTk5NWtK0mz0awSzsohHEo545Y+p/wA+3Sm2l7IbuSxvAqXK5aNl4WZM/eHuOAR2+hFXZzvLqXyTqt1Jbr+r/wCf+Rfpku/yX8v7+07fr2p9FQiTO8P2cmn+G9LspkCS29pFE6gg4ZUAI49xUPh79zZ3FietlcyQgeiE70/8cdavWF9DqVkl1b7vLckDcMEEEgg/iDVGL/RvFdxH0W9tVmX/AH4ztb9Hj/Kis5e05pb3d/69Tpo+9TnDyv8Ad/wGzXooooOYKKKKACiiigAooooAKx/EepT2NglvY4Op3z/ZrQEZCuQcuR/dRQWP+7juK07m4hs7aW5uZUigiQvJI5wqqBkkn0rD0KCbU76TxHfRPG0yeVYwSDDQW+c5I7O5AY+gCjqDSGjW0vToNI0u20+23eVBGEBY5ZvVie5JySe5Jqtf2c82u6TdRoDHbmYStkDAZMD68gVqVWa+hTU4tPO7z5IXmGBwFVlU5P1cY+h9K0puSd49n+WoizWXeeHtNvbg3LW/k3Z/5ebZzDL+LLgkexyK1KKzauBh/Ztf0/8A49ryDU4R/wAs7weVL+EiDafxT8aRPEtjBJu1O2m0uVwF8y5QeWw7YmUlMcnAJB56Vf1eaWLTpFgJE8xEMRHZmOM/hnP4VZht4re1jto0AijQRqp/ugYxVclo8ye5fJaHNfcejpKivG6ujDIZTkEU6sV/DFijtLpzz6XMTktZPsUn1MZBRj7lc03zfEOn/wCtgt9WhH8UB8ibH+6xKMffcv0qLvqRc3KKybXxHptxcLbSSvaXbcC3vEMLsf8AZDcN9VJFa1NNMAooopgUNV0i01i2EVyrBkO6KaNtskLdmRuxqlY61dabdw6X4gZfMlOy21BV2x3B7Kw/gkPp0Pb0rcqC9srbUbOW0vIUmt5V2vG4yCP896PUFeLvEv0Vxo1W68HTJb6vLJc6G5Cw6g3L2x7LN6r/ALfbvxyOwR1kRXRgyMAVZTkEeoqGrHTCamtB1FFFIsKKKKACiis7XtU/sbQrzUAnmPDGfKj7ySHhEHuzFR+NAGdof+n+I9c1Y8xrIunW57bYclyP+2jup/3BXRVnaDpn9jaFZ2DP5kkUY82T/npIeXf8WLH8a0aACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOduh/ZHjO2vOltq0f2Sb0E6AtEf+BL5ik+qoK6Ks3XtL/tnRbizWTypiA8Ev/PKVSGjf8GAP4UaDqv8AbOjW960fkzEFJ4c8xSqSsiH6MCPwoApeNfm8KXdv/wA/bw2ePXzpUi/9nrXrG8UfvbjQbPtPqaEj2jjklz+ca/pWzVRMKu4VDd3dvY2sl1dTJDBGNzu5wAKi1HUrbS7X7RcuQCQiIo3PIx6KqjksfQVgXEd3NNb3upQq967/APEv0zdlIW/56SEfeYDknovRck5L62RjKVkc3rtvqOo6pJf6fYyLDOEku9N2kvPEoIE0iZA39NsZ5cLhumF7zQf7ObR4JdLlE1rKN4lzlpGPUt33Z656EY4xip9OsFsICpcyzyNvmmYcyP3PsOwHYACsm90q80u9l1XQUV2mbfeaezbUuD3dD0SX36N0bH3gbCjG+stzoajkgimeN5I1Zom3ISOVOMZH4E1U0rWLPWbdpbV2DRtsmhkXZJC/dXU8qf59Rkc1fpp22LTaegwTRmZoRIplVQxTPIBzg49OD+VPqjqFi9xsuLZxHew5MTnoR3RvVT+nB7VcjLtEjSJscqCy5zg+me9U0rJplyjHlUov+v8AL+vXM0Oyn09b+3kTEP22WW3OQdySESH6Yd3GPam61+4utLvugiuhE5/2JRs/9DKH8Kt6jqMWmQxTTq/lPMkLOoGI9xwGb2yQM+9M1q0e+0W8t4/9a8R8o+jjlT+YFKvzTXtGt/zReGko1Y32ej9Ho/wL9FV7C7S/062vI/uTxLIPoRn+tWKlO6uZSi4txe6CiiimSFFFFABSMyopZiFUDJJOABUF7fWum2cl3ezxwW8Qy8kjYArn/s134tYNfwy2ehZytpICst57yj+GP/Y6t/FgfKUMSPd4xu47hgR4et3Dwqf+X+QHIc/9MlPI/vEZ+6Bu6mkVQqhVACgYAHQUtABWVb2U58TX2oTJti+zxW9vyDkAszt7ZLKP+AVa1PUYdK06a9nDssYGEQZZ2JwqqO5JIA9zVsdOmK1i5Ri3bR6fkxBRRRWYDFljeV41cF0xuUHlc9M0+s/SIZFtpLidCk91K0zqw5UHhQfooUfXNaFVOKjKyNKsVCbine39MKKKKkzIbq0tr23aC7t4p4W+9HKgZT9Qayf+Edaz50fUrmxx0hY+fB9NjcqPZCtblFJpMLGH/aWsWHGo6V9pjH/Lxpzb/wATE2GH0UvV3T9a03VGZLO7jklT78Jysif7yHDL+Iq/VLUNI0/VFUX1nFMU+47L86H1Vhyp9waVmGpdorD/ALJ1Sw50vV3kjHS31AGZfoJMhx9SW+lH9v3FlxrGlXFqB1uLfNxD+ajcB7soHvRfuFzYngiureSCeNZIpFKujDIIribdNS8B3wt7VJb7QpWJjthzJF3Ii9SOTs/iH3cMCG7KzvrTUbcT2V1Dcwno8Lhh+Ypbu0hvrV7edd0bjnnBB6gg9iDyD2qtGLVPmjuTafqFpqtjFe2Nwk9vKMo6Hg+o9iDwQeQas1wsdlqOmapPLprxjVAPMnt5Dsh1OMcb/wDYmHALAdcZBBGOo0bW7TW7d3g3xzQtsuLaYbZYH/uuvb2PQjkEjmoasdVOopq6NKiiikWFc5qn/E28V6dpQ5gsQNRuvTdkrAp+rB3+sQ9a3bq6gsbOa7uZFiggjaSR26KoGST+ArH8K20/9nzapextHe6pKbqVG6xIQBHGf91AoP8Atbj3oA3qKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACub/AOQD4uz93T9bP4R3ar+nmIv/AH1H6tV7UfEVlpeqWemzpctdXgcwLFCzh9oy3I4GB6+tVb240zxPDe6A0s1vfLEswSSJo5YvmzHMmRg7XUEEZGRg0AN1P99420aHqsNpdXJ9mzEi/o7/AJVa1TVotNWOMRvcXk5It7WL78p7/RR3Y8D8q8x0b4p2Wr+LJ4lMP9rLZR2aNK4jtmlV5DLIHJ/1ePLIH3j0x3ru9LuNEsGkuJtcsrrUJwPPunuEBb0VRn5UHZR+OSSS12Rz1L8xNBZCx8zW9bmSW8RDgqCY7ZT/AARDrk9C3Vj6DAFvTLWZnfUb1Nt3OMCM8+RH1CD37k9z7AVlya1pWpauFk1OzWysmDYadQJpuoPXlV/9CP8As1q/2/o3/QWsP/AlP8au1lYwS5nfojRorO/t/Rv+gtYf+BKf40f2/o3/AEFrD/wJT/GkaWIdU0CG/uFvreaSx1ONdqXkGNxH91weHX/Zb8MHmqY8Q3Wkfu/EtqIIxwNStwWtm936tF/wLK/7RrS/t/Rv+gtYf+BKf40f29ox/wCYtYf+BKf40AXoZoriFJoZElicbldGDKw9QR1qK9e6jtjJaRpJIhDGNuN69wD2PpniuYlsvDUcz3Gka9Bo9w53M1ldRiNz6tE2UJPc7c+9NHiXUdPOJrvQtWiH8dteLbTf98OWUn33r9KadncqOjTtc6U/Y9b0p0dRLa3MbRyIwxweCpHY9R7UaXb3VppsNveXH2maIFPOxguoPylv9rGM++a5m3+IPhmCWQXBnsJpW3uHhLqWwBkvFvTsP4qu3PjLw7cWk0Vp4q0m2uipCNLcx5Rv9pGIOPUcfhWnNdci+G/Xp/X4jnFXbinYveH/ANzbXVgetndSRAeiE70/8ddR+Fa9eV2vxZ8O2Pi97PULhIZrpIo5pIHEtukwJG7zAcFWVl57Y5xzXbyeNfCsQJfxLo49vt0ef/QqxUXD3X0NMS+apzrrZ/NrX8bm7RXJzfEjwujbIL57tz0FvA7Kf+B42D8TUR8X3l9xZR6VYIf+WupahGzD3EcRbP0LrTMLM7GsCfxRHcTPaaDbnVrtTtdon228J/6aS8gY/urub2rMNro9/wA6/wCKYNTB62wuEhtvp5an5h7Oz1vQ6xoNtCkMGpabFEg2oiToqqPQAHigdirZ+H3lvI9S1y5F/fRndDGF229sf+mad2/22y3pgcVvVnf2/o3/AEFrD/wJT/Gj+39G/wCgtYf+BKf40C1NGisLVvGXh7RtLn1C61a1MMK5YRSq7nnAAUHJOTWBo3xI0zxc8L6ReRWVnE4a7lvmSOT18tFJ5J7t0A6ZPS4R5na9gszqrzTXvtXs7iaRTaWmZEhA+9N0DN7KCcD1OewrSrO/t/Rv+gtYf+BKf40f2/o3/QWsP/AlP8aJTckk+gWNGopbmKGWCJyd87FEAGckAsfwwKp/2/o3/QWsP/AlP8apf2tpcmtG6k1XT/Kih8uH/SU5Zjlz19FUfnRFJ3uXTinfm7f8N+P4G9RWd/b+jf8AQWsP/AlP8aP7f0b/AKC1h/4Ep/jUEWNGis7+39G/6C1h/wCBKf40f2/o3/QWsP8AwJT/ABoCxo0Vnf2/o3/QWsP/AAJT/Gj+39G/6C1h/wCBKf40BY0aKzv7f0b/AKC1h/4Ep/jR/b+jf9Baw/8AAlP8aAsaNFZ39v6N/wBBaw/8CU/xo/t/Rv8AoLWH/gSn+NAWGXnh7TL24NyYDBdn/l5tnMMv4suCR7HIqv8AZvEGn/8AHteQapCP+Wd4PKl/CRBtP4oPrVv+39G/6C1h/wCBKf40f2/o3/QWsP8AwJT/ABpWQrGRqOsWs0SLqEc+jX0Lb7ea7T90r9P9apKFT0ILAkHoDTzaJr8UWsabMNP1qAeV5y/OMjkxSAf6yM9R7EMpGa1G13RWUq2q6eQRgg3Cc/rXKajBoGn30Wo6PrEOnB2CXSWFygBBPEnl8oxBPOV6EntT12Id4PnR1Wja+L+d9Ov4PsWrwruktmbIdenmRN/Gnv1HQgGtqvOtXuxcQIl5f6XqPkNvt7yxu0truBv7yhmKE+vzKCOCpBxWb/wuvSdCtjba+J5rxDhJbWEATr/eKk/IR3AJX+6TyBB1wnzaPc7PXD/bWs2nh5Obddt5qJ7eUG/dxn/fdfxVHHetx7+zjuktZLuBLl/uwtIA7fQZya89uNRvbPwrpUthcoda8XXsW68j+YQLIu4lM9RHEu1c9xk9TXbW+gaVY6PJp0dsi2rqfNLnLSHu7seS3fcTmg0NNWVxlWDDJGQc8jg0tZ2g6Uuh+H9P0tX8z7LbpEZD1dgOWPuTk/jWjQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBxLrc6t8Vbh7aaFE0XTVizLEXAluG3HADLzsjT/vqneFSt3428SzX3+kavY+TZtdRjbD5LL5ipGvJUgsdwJY5xzjAGxB4S0m1uLu4gF9HNduHnkXUbjMjABQSd/YAD8K0dO0yy0m1+zWFukERYuwXkux6sxPLMe5OSaAPJdP8AAuieHPEereLbSwE9laahJBNayKJFitzGm+RAR1Ry5xz8mQBkDPoeqWelpZRJY6dp73N4RHbMIEZeRnf05CrlvfGO9P8ABwEnhwXBGRd3Nzc891kmdl/8dIFYfh4xaT4kNs4k/sqUyW+iyuQUjIYmSEemSPkz1VMDpy13Im38K3Z09r4c0e1tYoF021cRqF3PCrM3uTjkmpf7D0n/AKBdl/4Dp/hV+ikUkkrIof2HpP8A0C7L/wAB0/wo/sPSf+gXZf8AgOn+FX6KBlD+w9J/6Bdl/wCA6f4Uf2HpP/QLsv8AwHT/AAq/RQBQ/sPSf+gXZf8AgOn+FH9h6T/0C7L/AMB0/wAKv0UAZdzpOlQW0kw0ixcopbb5KLnHuRgVx2mTWV5paeII/CHm6Ndw/afKeKF5Yh/eVSeVIGdoOfQHOK3fiJfS2PgPVPs5/wBKuoxZwDuZJmEa4/77z+FS6tcReF/CMdhYoZbpLYWmn2yD55pAm1AB6Dgk9AASeBVKTSa7lRm4prozkda+HPgvVdT0fxbb2aNbSz25eODC280b4VGKAepTPQEZyK6y+s9G0eZGbwxA1kVy9zbWaP5R/wBpFG7GO4B98dazrPSLjQvBdp4YuXRlFitvBdJnC3AXoc+r8qfw64z1mm3i6jplreoMLPCsgHpkA4oj7k/fV01/X3G1SlajGf8AXl+v3FKys/DupWy3NjaaZcwt0eKJGGfTgdasf2HpP/QLsv8AwHT/AAq5HDFEztHGiGRtzlVA3Hpk+p4FZ19Z6w90ZtP1eKBCB+4uLQSoD7FWRv1NUoxlKydl5/8AARzEv9h6T/0C7L/wHT/Cj+w9J/6Bdl/4Dp/hUtgt+tuRqMttJNu4a3jZFx9GZjnr3qrfQ65LcEWF9p9tb4H+utHlfPfpIo/ShQTly8y9df8AK4XJf7D0n/oF2X/gOn+FZuov4Y0yVYJrGzku3GY7WC1WSZ/oijOPc4A7mtbT7a7toGW8vmvJWbO8xLGFHoAO31JPPWrCwxJK8qxoskmN7BQC2OmT3oXJGXvary0/NfoBxGr2vhfVYLXw7r+hrYTaxuSCNYV3ZX5v9YgwrYAOM+2TSWXhbwZ8MfDEryWwe280NJNcxCeaR2woAwuT9APU+tM8Z/8AHwmsHhNK1XT4zn+EFwJCPqtwB/wGn+Kv+J1qvhyxPMd9qKyIh6G3gHnMx/3nSMfTHTJqG7u6VhnUQaTpE8KyjSLVNwztktVVh9RipP7D0n/oF2X/AIDp/hV+ikBl3WmaLZ2k1zLplkI4kLsfs6dAM+lOi0bSpIUdtIs0ZlBKNbplT6HiptRs2voYoAwEXnI8oP8AEqndgfUgA+2auVT5eVdy2o8i7lD+w9J/6Bdl/wCA6f4Uf2HpP/QLsv8AwHT/AAq/RUkFD+w9J/6Bdl/4Dp/hR/Yek/8AQLsv/AdP8Kv0UAUP7D0n/oF2X/gOn+FH9h6T/wBAuy/8B0/wq/RQBQ/sPSf+gXZf+A6f4Uf2HpP/AEC7L/wHT/Cr9FAFD+w9J/6Bdl/4Dp/hR/Yek/8AQLsv/AdP8Kv0UAUP7D0n/oF2X/gOn+FH9h6T/wBAuy/8B0/wq/RQBQ/sPSf+gXZf+A6f4UHQ9IIIOl2JB/6d0/wq/RQBzWlaRpttcz6TcadaO8P7yCR4FJkhJ4ycclT8p/4Ce9cvrHgHw/8AEXWzJLafZtL0stbpNZhYmuptw8wZwcom3b67i+CMc7vjK6llubex0wzjUo4nmnltyA1valSGPP8AExA2Duy5/hNdNptvZ2mmWsGnoi2ccSiEJ02Y4+vHem+5nDT3O35HCalpDaDY6dp17OU0nTp45dL1URhjYsgKqlwowDGVJXfxwfmwcMew+x3t+I1v57c2wIYxW6H97jkbmJ+7nnaOuOSRkHTdFkRkdQyMMMrDII9DXLm1vPB7GTTopbzQesligLS2Y/vQjqyesfUfw/3aRodVRUFle2uo2UV5ZTxz20y7o5I2yrCp6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqmqXg07SL2+bGLaB5jn/ZUn+lW6wPGvz+EL+3/wCfsJZ/XznWL/2egCG1jm0nwRpGmQMVvHtoLOI91fYAzf8AAQGb8K07vQ7G80MaRIjLbKipGUba8ZXG1lbswIBB9RUcX+m+I5ZOsOnxiJf+urgM35LsH/AjWtTe1jOOrcvl/XzMLQtUuTcS6LqzKNVtl3bwNq3cWcCZR+jL/C3sVJ3ay9b0YatBE8UxttQtW8y0ulGTE+Mcj+JSOGXuPfBDNE1o6kJrS8hFrqtphbq2zkDPR0P8SNgkH6g4IICNDXooooAKKKKACiiigClf6PpmqmM6jp1peGI7o/tECybD6jcDg0trpOm2MrS2en2tvIw2s8MKoSPQkCrlFAEdxbxXVu8E8ayROMMrdCKyNAljtY7nTHkVXt7ySKJWOCyt+9UD1wrgf8Brbrn7uyil8SS20u5UvrVZUdThklhbG5T2bEi/98/Wldcy5np/n/SOrDtSjKnJ6b/Nf8C50FFVrH7WLYLehDMhKl06SAdGx2z6dqs1UlZ2OaS5XYKKKKQgpCMgg559DilooAx4/C+kJp91YPbyz2t1J5s8dzcSTB2yDn52PcDipJvD+nXGtwaxLHOb63UrE4upQqA4yAgbbg7VzxzjmtSigAoopDnBwcH1oAq2V4bxrohAIopjEjZ+/tADH8G3D8Kt1XsLRbCxhtVYv5a4Lnqx7sfcnJ/GrFVPl5ny7F1OXmfJsFFFFSQFFFFABRRRQAUUUUAFFFFABRRRQAVla5rI0m3iSCH7TqF03lWdqDgyvjOSeyAcs3Ye+AZtY1e30WxNzOHdmYRwwRjMk0h+6iDuT+nJOACapaJpFxHcy6xqxR9WuV2lVOUtYs5ESH07s38R56AAAE+haOdJtZGnm+06hcv515ckY82TGOB2UDAVewA75Jbo3+hT3WknhbdhJb/9cXyQP+AsGX6Aeta9ZOr/AOiXljqY4EUnkTH/AKZyED9H2H6ZprsZ1NLS7fl/WprUUUUjQ5u90a80q9l1Xw6qb5W33enM22K6PdlPRJf9ro38X94amkazZ61aGe1ZgyN5c0Mq7ZIXHVHXqpH69RkEGtCsTV9Be5uxqulTrZaxGu0TbcxzqP8AlnKo+8voeq5yD1BANuisfRteTUpZbG7gay1W3AM9nI2TjpvRv40PZh9CAcitigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuc8Xzxxx6RFK2IpNRjkc+iwq85P/kGujri/GA+2+J/Dmk84n8+Rseg2Kw/GN5B+dNK7JnLli2jotCgkh0iJ5123FwTcTD0dzuI/DOPwrSooobuEY8qSCsjWtFOotDeWcwtNVtc/Z7nbkYPVHH8UbYGR9CMEA1r0UijJ0XWxqZltbmH7JqltgXNozZK56Op/iQ4OG/A4IIGtWVrOhx6r5U8UzWmo2+TbXkYy0ZPUEfxIcDKng+xAIh0rXZJbz+ydWhW01ZFLBFJ8u5UdXiJ6j1U/MvfjBIBt0UUUAFFFFABRRRQAVj67+4l0y/HH2e7RHP+xJmM/hllP4VsVS1iyOoaNeWinDywsqH+62PlP4HBqZq8dDbDyUaqcttn6PR/gW5BIYnERUSbTtLDIB7ZHpVTTr/7Yjxyx+TdwnbPDnO09iPVT1B/qCKdpl4NR0q0vQMefCsmPQkZxUxtoTdLc+WPPCGMP32k5x+YrSMouOvyE0oc0JrVfmS0UxJY5C4R1Yo21gpztPofQ8in1Jk1YKKKKACiiigAqlLdSHWILOLG0RNNMSOg+6o/E5P/AAE1dqCO1jiup7lcmWbaGJPZRwB7ck/iauLSvcuDirt9ieiiioICiiigAooooAKKKKACiiigAooooAKoavrFrotn9oud7M7COGCJd0k8h6Ii9yf05JwATUOs67DpPlQJE93qNxkW1lCRvlI6k9lQd2PA+uAYNJ0SaO8OraxMl1qzqVUpnyrVD/yziB6D1Y8t3wMAADdJ0i6lvv7b1vY2pFSsECNujsoz1VT3c/xP36DAFb1FFABUF7ax31jPaS/6uaNo2x6EYqeigTV1ZlDRrqS80mCSb/j4UGOb/rohKv8A+PA1frJ0/wD0bW9Ts+iyFLuMf7w2sB/wJM/8CrWpvcmm7x1CiiikWZms6HbazFEXeS3u4CXtruE4lgb1U9we6nII4INUtN1y5t76PR9fSOHUGyLe4jGIb0Dumfuvjkxk5HUEjmugqpqWmWer2MlnfQLNA+CVPBBHIYEcgg8gjkHpQBborl4tSvPDEyWmuztcaYzBLfVWHKZ4CXGOAewk6Hvg9eooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuYELXfxMeU4aKx0xAP9mSR3/9lX9a6eue0BY59e8R3yOW33aW3Pby4kz/AOPM1NGc9Wl5/wDBOhooopGgUUUUAFUtU0mz1i0+z3kZYKweORGKvE46OjDlWHqKu0UAcwmsXvhyRbbxE/nWJIWHV1UBfZZwOEb/AGx8h/2TxXTAhgCCCDyCKR0WRGR1DIwIZWGQR6GubOj6h4ePmeHds1iOW0mZ9qr/ANcHP+r/ANw/J6bOtAHTUVmaTr1jrHmRws8V3Djz7S4XZND/ALynt6EZB7E1p0AFFFFABRRRQBj+H/3CX+nnj7JeSKo/2HxIv4APj8K2Kxx/ovi5h0S+s8/8DibB/EiQf981sVENrdjoxOs+f+ZJ/Pr+NzNurOaK9XULEDzjhZ4icCZPX2Ydj+B7Y0qKpahdzWKx3AjElqpP2jAJdF7MPUDuOuOe2DveVS0ev9f0iE5VWo9f60/y+4u0U1HWRFdGDIwyrA5BHrTqzMgooooAoaxcSwaey27bbmdlghPozHGfwGW/CryjCgZJwOppkkEUskTyIGaJt6E/wnBGfyJH41JVtrlSRbkuRRQUUUVBAUUUUAFFFFABRRRQAUUVS1PVrHRrX7Rf3CwoWCoMFmkY9FVRyzHsACaALtc9fa/Pd3cul+Ho47m9jbZPcyZ+z2h/2iPvv/0zU59So5qLydY8S83XnaPpJ/5d0bF1cD/bYf6pT/dU7vUryK37OytdOs4rSyt47e3iG1Io1Cqo9gKAKWj6HBpPmzGWS6v58G4vZ8GSUjoOOFUc4UYA/M1qUUUAFFFFABRRRQBlXw8jXtLueglEtq34rvH/AKLI/GtWsrxD+70sXPe2ninz/sq43f8Aju6tWm9jOOkmvn/X3BRRRSNAooooAZLFHPC8M0ayROpV0cZDA9QQeorl/KvPBvzW6TXvh4fegXLzWI9U7vEP7v3l7ZHA6uigCG1ure+tYrq1mjnt5VDxyxsGVgehBFTVzV1pF5od1LqXh6MSRSsXu9KLBUmJ6vETwknqPut3wfmrX0rV7PWrIXVlIWUMUkR1KvE46o6nlWHcGgC9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWB4OaOfQnvY1K/bLy5uDnvulbH6AVr390tjp11eP92CJ5T9FBP8ASs/wpAtv4R0iNRj/AEOJiPcqCf1Jp9DN/GvR/obFFFFI0CiiigAooooAKKKKAM3VdBsNY8t7iNkuYc+RdQMY5oT/ALLjkD1HQ9wazftmvaEdt/A2sWA6XdpGBcIP+mkQ4f6x8/7FdJRQBT03VbDWLb7Rp93FcRA7WKHlW7qw6qfY4NXKyNS8N6fqVz9s2yWuoAYW9tH8qYDsCRww/wBlgR7VTEvibSDiaGLXLUf8tINsF0B7oT5b/UFPZaAOjorI0/xPpOo3P2RLnyL7vZ3SGGb/AL4cAke4yPetegDH179w2m6gP+Xa8QOf9iTMZ/DLg/8AAa2Kp6tZf2jpF5Zg4aaFkVv7rEcH8Dg0aVe/2jpNne4wZ4Vcj0JHI/A8VC0kzol71GL7Nr5PVfqXKKKKs5yCOO20+12Jsgt0yeThVyc9+gyanpskaTRPFIivG4KsrDIIPUGqWnW9zZNJaOTLaIAbeVmywH9xvXHY9x15GTdlJNt6mllJOTev5/8ABL9I7rGjO5CqoySewpaa+xv3b7TvBG09x34qEQihonmSaf8Aa5S2+7cz7WP3Vb7o9sKF/HNaNAAAwOBRVTlzSbKqS55OQUUUVJAUUUUAFFFZuqa/pWjFFv72OKWT/VwDLyyf7sa5ZvwBoA0qhu7y2sLWS6vLiK3t4xl5ZXCqo9yeBWEdS8Qat8umaaum25/5e9TGXI9VgU5/77ZT7GprTwtaJdR32ozT6rfodyT3hDCM+scYARPqBn1JoAgOt6prXyeH7LyrZv8AmJX6MsePWOLh5Pqdq9wTVzTPDlrYXX2+4klv9TIKm9uiGcA9VQABY19lAHrnrWxRQAUUUUAFFFFABRRRQAUUUUAUtXt/tei31tjJlt5EH4qRUun3H2vTbW5znzoUk/MA1YrK8NceG9PT/nlCIv8Avn5f6U+hntU9V+X/AA5q0UUUjQKKKKACiiigArC1XQZXvTq+jTJaasFCsWB8q6UdElA6+zD5l7ZGQd2igDJ0bXotVMttLC9nqVvj7TZSkb489GB6Oh7MOD7EEDWrK1nQoNXEUyyyWuoW+TbXsOPMiJ6jnhlPdTwfyIraXrs4vl0fXIo7XVMExOmfJvFHVoie/qh5X3HJAN6iiigAooooAKKKKACiiigAooooA5/xxOIPBWrZOPOgNv8AjIRH/wCzVq6XH5Wk2cY/hgRfyUVzvxE/e+HoLMdbm7Tj18sNP/7Rrp7P/jyg/wCua/yp9DP/AJefImooopGgUUUUAFFFFABRRRQAUUUUAFFFFAFTUNLsNWtvs+o2Vvdw5zsmjDgH1Geh96yP+EZuLEf8STW72yUdLe4P2uD8pDvA9ldRXRUUAc99v8TWH/H3o1vqMY/5aadcBHP/AGylwB/38NZmieLdI02K6stTll0vyrqQoL+JogqOd4BcjYMbiPvdAOxFdpWP/wAevi70S+s/w3xN/MrJ/wCO1EtGmdFH3oTh5X+a/wCBc0LS+tNQh86yuoLmI/xwyB1/MVYrGvPCXh6+mM1xo1i0/wDz2WELJ/32MN+tV/8AhELWL/jy1TWrP0CajJIo+iylwPyqznOhorn/AOw9ci/1Hiy8cdhdWkD/APoCJR9i8Wp9zXdIkH/TXSZM/ms4H6UAaMF+41CSxu0WOUkvAy/dlj9v9odCPx6HiOJWufEE8zKfLtIhDHkdXfDOfy2D865Lxpp/jy68LXa6dcaVNfR7Xg+zW8kUwIIyUZpCA2M/yrL+GVt8So/DLrrVzBG/nHyRqsbzT7MDqQ4OM5wG569sVrzpaxWrX9febe0itYrVq3/Deq/M9Uorn/sni9/va1osY/2NKlY/mbj+lH9jeIJf9d4qlj/69bGFP/Qw9ZGJ0FRzTw20TSzypFGvV5GCgfiawv8AhE0l/wCP3XNcuvXN8YM/9+QlSQ+DPDcMom/sa1mmHSW5Tz3H/Anyf1oAa3jXQC5jtL7+0JRwU06J7og+h8sMB+OKb/a+v33Gn+HjbIek2p3Cx8eoSPex+jba6BEVECIoVQMAAYApaAOe/sHVb/nV/EFwYz1t9NT7LGfYvlpPxDj6Vo6XoWl6Mr/2dYw27P8A6yRVy8nuzn5mPuSa0KKACiiigAooooAKKKKACiiigAooooAKKKKACsrw7/yCAv8AduLhfymcf0rVrK8Pf8guT/r8u/8A0okp9DN/GvR/oatFFFI0CiiigAooooAKKKKACqWqaVZ6zYtaX0XmRkhlIJVkYdGVhyrDsRyKu0UAcxb6reeHriPT/EEvnWkjBLXViAAxPAScDhH7Bvut7Hg9PUdxbw3dvJb3ESTQSqUkjkUMrKeoIPUVzGbzwZ18+98OjvzJPYD37yRD8WX3H3QDq6KjgnhureOe3lSWGRQ6SIwZWU9CCOoqSgAooooAKKKKACiiigDlvE6fa9b0uz67LW9u/wDvmMRf+1zW9pb+bpNlJ/egRvzUVlKouvHl0G5W10uNf+/0j5H5Qr+lXfDjF/DOllvvC1jVvqFAP6in0M/+XnyNOiiikaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWPr/7gafqA4+y3iFj/sPmJvwG/P8AwGtiqmq2Q1HSbuyzgzwtGD6Ejg/geamSutDahJRqJy26+j0f4FuiqWkXp1HR7O8Iw00Kuy/3WI5H4HIq7TTurmc4uEnF7oKKKKZJleJ79dK8LapqDSvGLW1km3IcNlVJAH1Ix+NQ+EoNQi8M6fJq17PdahNbRyXDS7RtcrlgAAAACcfhWb8QbHUtZ0KPR7DTZ7qK7uYBdvHJEoSASBpPvupJIXGB61pJeate6zbQDSbmxsIg0s1xPLCfMOMLGqo7HqdxJx93HOaANuiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArK8O/8gcN/euLh/zmc/1rV6VleGufDenv/wA9IVl/76+b+tPoZv416P8AQ1aKKKRoFFFFABRRRQAUUUUAFFFFABRRRQBzE+l3nhy4kv8AQITPZOxe60kEAEnkvBnhX7lOFb/ZPJ29L1Sz1ixW8sZhJExKnIKsjDqrKeVYHgg8irlYGqaFOl82saFJHbamQBNG+RDeKOiyAdG7BxyPccUAb9FZeja7BrCyx+XJa31uQtzZTYEkJPTPYqezDIPatSgAooooAKKKKAMDQ/33iDxJc+l3FbKfVUgjb/0KRx+FWvD3y6a8HeC5ni/AStt/8dxT9G02TTYLoSuryXF5PcEr0w7kqPqF2j8KZpv7nWNXtvWWO4UegdAv/oUbU1szOWkk/l+v6GrRRRSNAooooAKKKKACiiigAooooAKKKKACiiigAooooAx9B/cPqWnnj7NeOUH+xJiQfhl2H/Aa2Kx2/wBF8XKeiX1oVP8AvxNkfiRIf++a2KiG1ux0YjWSn/Mk/n1/G4UUUVZzhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUtZuPsmiX9wOsVvI4+oUmpbG3+yafbWw/5YxLH+QAql4h/eaalt3ubiKHHqpcbv8Ax0NWrT6Ga1m/QKKKKRoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZGs6DHqjRXUEz2ep24P2e9iALJnqrDo6Hup4PsQCIdJ16SW8/snWIUs9XVSwRTmK5UdXhY9R6qfmXvxgndqjq2kWetWf2a8jJCsHjkRiskTjo6MOVYeooAvUVQ0mHUbayMGp3Ud1LG5VLhE2GROxdegbrnHBxkYzgFAF+iiigArKm/wBH8T20nRbu2eEn/aQhlH5NJ+VatZPiD9zYxX462M6XBPog+V//ABxnprczqaRv21NaiiikaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj+IP3EdjqA/5dLuNmP+w+Y2/AB8/hWxVXU7MajpV3ZMcCeFo8+mRjNR6PeHUNGs7txiSWFWcf3Wx8w/A5FQtJHRL3qKfZ2+T1X6l6iiirOcKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDKvT5/iDTLbqIVlum9iBsX/0Y3/fNatZOnf6TrOp3v8ACjJaRn1CAsx/76cj/gNa1NmdPW77v/gBRRRSNAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApk0KXEEkMq7o5FKMPUEYNPooAzNBmeTSYopmLT2xNtKT1LIdufxADfjWnWSn+g+JHTpDqEe8f9dkAB/NNv/fBrWpvcin8Nn00CiiikWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY+hfuJtTsDx9nu2dB/sSYkH4bmYfhWxWO/+i+Lom6JfWhQ/wC/E2R+Ykf/AL5qJaNM6KPvRnDyv81r+VzYoooqznCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvfXaWFhcXcmSkMbSEDqcDOB71YrJ1U/a7+w0wcq7/aZ/wDrnGQQPxcp9QDTW5E21HTcsaPaSWWk28M2DPtLzEd5GJZz/wB9E1eoopPUqKUUkgooooGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGdrVtLcWHmWwzdWzieAerL/D/wACGV+jVbtLqK9s4bqBt0UyB1PsRmpqyLD/AIl2qz6a3EM265tfQZP7xPwY7vo/tT3Rm/dlfv8A1/XyNeiiikaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4h/cwWd+OtndxyMf8AYY+W/wCSuT+FbFVtRs11DTLqyc4W4iaIn0yCM1MldOxrQmoVE5bdfTr+BZoqhot42oaLZ3UgxLJEpkHo+MMPwIIq/TTurkTg4ScXugooopkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWRov+mSXWrt0umCwe0K5C/8AfRLN9GFO1uR5kh0uBis16SrMvVIh/rG/IhR7sK0440ijWONQqIAqqBwAOgp7Iz+Kfp+f9fmOooopGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWfq9nLdWiyWxAvLdxNbk8DcP4T7MCVPsa0KKE7ClFSVmV7G8i1CyiuoshXHKt1UjgqfcEEH3FWKxpD/AGPq/ndLG+cCT0inPAP0fgH/AGsf3jWzTaJhJtWe6CiiikWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY+h/6PcapYdBBdtIg/wBiUCT/ANCZx+FbFY8n+i+LYH6JfWjRN/vxtuX9Hf8AKtiohtbsdGI1kp/zJP8AR/imFFFFWc4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTZJEijaSRgqICzMTgADqadWNfn+1tQGlJzbRYkvW9R1WL8ep/2eP4qaVyZy5V5j9Hje6km1edSr3QAgRhgxwj7o9iclj9QO1a1FFDdwjHlVgooopFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEVzbQ3ltJbzoHikUq6nuDVDS7maKZ9LvXLXMK7o5T/wAt4ugb/eHRvfB6EVqVR1OwN9CjRSeTdwtvt5sZ2N7+qkcEeh+lNdmRNP4o7l6iqWm6gL+Fw8fk3ULbJ4CcmNv6g9Qe4q7SasUmpK6CiiigYUUUUAFFFFABRRRQAUUUUAFFFFAGP4i/c2trfjrZXUcpPohOx/8Ax12P4VsVXv7RNQ065s5PuTxNE30YEf1qvod299odncS/65ogJR6OOGH/AH0DUbS9TofvUE+zt9+q/JmhRRRVnOFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVe9vYdPtHuZyQi4ACjLMTwFA7kngCgTaSuyDVL9rOJIrdBJe3B2W8Z6Fu7H/ZA5J/qRUmnWK6faCEOZJCS8srdZHPVj9f0GB2qvplnN5r6jfqBezLtCA5EEfUID+pPc+wFadN9iIpt8zCiiikaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZuo2EzTJqFgVW+iXbhjhZ067G/oex9iQbGn38Oo23mxBlZSUkicYeNx1Vh2I/+v0q1WZf6fMLn+0dOKpeKNroxwlwo/hb0I7N29xxT30Zm04vmj8zToqpp+oQ6jCzxhkkQ7ZYZBh4m9GH+Qeo4q3SLTTV0FFFFAwooooAKKKKACiiigAooooAKx9E/wBHu9VsOgiujMg/2JRv/wDQzIPwrYrHm/0XxZbSdEvbVoW/34zuX9Gk/Kolo0zoo+9GcO6v92v5XNiiiirOcKKKKACiiigAooooAKKKKACiiigAooooAKKKhu7uCxtnuLmQRxJ1J/QAdyewHWgTaSuxbm5hs7aS4uJFjhjGWZuwrNsrebULpNTvozGEz9ktm6xA/wAbD++R/wB8jjqTSW1rPqdzHf6jGY4ozutbNv4D2d/V/QdF+vTYp7EJObu9gooopGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZ1/pjTzLeWcot79BhZcZV1/uOP4l/UdRS2GqC5la0uIzbX8Yy8DHOR/eQ/xL7/mAeK0KqX+nW+oxKswYOh3RSodrxt6qex/n3p37mbi07xLdFY66hc6URFq+Gt+iX6DC/wDbQfwH3+6fbpWurBlDKQQRkEd6GrFRkpC0UUUigooooAKKKKACiiigArH8R/ubK3vx1srqOYn0TOx//HHatioL60S/sLmzl/1c8TRN9GGD/Opkrpo1oTUKkZPbr6dfwJ6KztCu3vdCs55f9cYgsvtIvyuP++ga0aad1cmpBwm4PdaBRRRTICiiigAooooAKKKKACiiigAoorKn1WSeZ7TSY0uJ1O2SZj+5hP8AtEfeb/ZHPrjrTSuTKSjuWr/UYNPRPM3PLIdsUMYy8jegH8z0Hciqtrp09xcpf6oVadeYbdTmO3+n95/VvwGOczWGlx2bvcSSNc3sgxJcSAbiPQDoq+w/U81fovbYlRctZfcFFFFI0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEIDAggEHgg96yDpdxpzGTRpESPOWspSfKP+4RzGfplfbvWxRTTsTKKkZ9prEFxOLWZHtLzGfs8/DH3U9HHuCfwrQqC7sra/gMN1Ak0ec4cZwfUeh9xWf9k1PTh/oNwLyAf8u9253gf7MvJ/76B+oo0ZN5R31X9f1p9xr0VmQa5atKsF0JLG5Y4EV0Nu4/7Lfdb8Ca06GrFRkpbBRRRSKCiiigAooooAx9G/0e+1awPSO58+Mf7Eo3H/AMf8ytisef8A0XxXaS9EvLZ4G93Q70/Qy1sVENrdjoxGslPuk/0f4phRRRVnOFFFFABRRRQAUUVQu9ZsrSbyDIZrnGRbwKZJP++R0HucChK4nJRV2X6pX2qWunlUldnnf/VwRLvkf6KOce/QdzVXbq+o/fI0y3P8KkSTkfXlU/Dd9RVyx02009W+zxYd+ZJWJZ5D6sx5P407Jbkc0pfCrev+RSNpqGrc37GztD/y6wv87j/po46f7q/ma1IIIbaBIIIkiiQYVEXAUewqSihsqMEteoUUUUigooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCOaCK5haKeJJY2GGR1DA/UGs3+xPs3OmXs9n6RZ8yL/vhug/3Sta1FNNomUIy1Zk/a9Ytf+PnT47tB/y0s5Nrf98ORj8GNOTxFpm8Rzzm0kPAS7Qwkn23AA/hmtSmuiyIUdQynghhkGi6J5ZLZ/eKjrIoZGDKehByDS1lv4d0osXitBbOeS9q7QEn6oRSf2Rcxf8AHtrV+g7LJslH5spb9aLIOaa3X3f0jVorK+z67H93ULGUekloyn8xJj9KPM19f+XbTJf+3iSP/wBkaiwc/dP+vQZ4k/c6fDfjrY3MdwT6Jna//jjPWxXEePL7xXD4H1Y6fo1rLctAUCw3DTttYgMQhjG47SeP59Kx/hT4g8cax4VebWtOSZ0m2QT3bm2eRNo/hEZyAf4u/wCFSotSNpVoypJa3TfTpp/wfvPT6KyvN19v+XPTY/8At6kf/wBpijydek63unwj/Ztnc/mXH8qqxj7Tsn/XqatBOBk9Kyv7Kvpf+PjW7vHdYI44x/6CW/Wj/hHNMfm5hkuz1/0uZ5h+TEgfgKLIOab2X3/8C4+bX9LhlMP2xJZh1itwZX/75QE1H/aOpXXFnpTRqf8AlreyCMfgq7m/A7a0oYIbeMRwRJEg6KihR+QqSi6Dlm939xk/2TdXfOpalNIp6w2uYI/zB3n/AL6x7VftLK1sIfKtLeKCPrtjUDJ9T6mp6KLsahFO4UUUUiwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDm/HUOsHwreXOg3k1vqNrGZo1jCkTBcFkIIPJAIHuRUemXMniy203V9P1K9tNL8kMAuwNdEgfe3KcBcEcYJOegALUrHxfZeLPF+peF4YbmKPTkLXTOABOQ23YMEnb3Pr04Gc4vw68QWlp4s8R+DLaOYW1nfSS2eVAWJG+Z4+vAD7tvsecUAen0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==) +![md5:9d25c968fd58984cde61b27542d89c49](9d25c968fd58984cde61b27542d89c49.jpeg) Now, we note that \(LY \perp BC\) , so \(L\) , \(Y\) , and \(M\) are collinear (on the perpendicular bisector of \(BC\) ). Since \(\angle YPX = 90^{\circ}\) and \(\angle YMD = 90^{\circ}\) , \(PDMY\) is cyclic. However, \(IYMD\) is a rectangle, so \(IPDMY\) is a cyclic pentagon. Hence, \(\angle IPM = \angle IDM = 90^{\circ}\) . @@ -250,7 +250,7 @@ Claim 2. \(P M \parallel D^{\prime}X\) . Proof. Consider the homothety at \(A\) that sends \(\omega\) to the incircle. It sends \(L\) to \(I\) and \(P\) to \(D^{\prime}\) . Furthermore, it's well- known that \(X\) lies on \(A M\) . Because \(I X \parallel L M\) , we also have that the homothety sends \(M\) to \(X\) . These facts imply that \(D^{\prime}X \parallel P M\) . \(\square\) -![](data:image/jpeg;base64,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) +![md5:3588a05bc805619ce4de2b7bfb81bb3c](3588a05bc805619ce4de2b7bfb81bb3c.jpeg) Let \(T\) be the antipode of \(D\) on the incircle. Let \(A T\) intersect the incircle again at \(T^{\prime}\) . Since \(X\) lies on the polar of \(A\) with respect to the incircle, by Brocard's theorem, we have \(D^{\prime}\) , \(X\) , and \(T^{\prime}\) are collinear. It is well- known that \(A T \parallel I M\) . Therefore, \(\angle D P M = \angle D D^{\prime}X = \angle D D^{\prime}T^{\prime} = \angle D T T^{\prime} = \angle D I M\) . Consequently, \(I M D P\) is cyclic, and \(\angle I P M = \angle I D M = 90^{\circ}\) . @@ -260,7 +260,7 @@ Solution 3: Let \(\omega\) be tangent to \(A B\) and \(A C\) at \(E\) and \(F\) Lastly, we want \(P\) to be on the circle with diameter \(I M\) . This circle intersects \(E F\) again at the foot from \(M\) to \(A I\) , which is the midpoint of \(E F\) . Let this point be \(M^{\prime}\) . Consider the homothety sending the incircle to \(\omega\) . This clearly sends \(D\) to the second intersection of \(A D\) and \(\omega\) , which is \(P^{\prime}\) , and it sends \(I\) to \(L\) . Note that \(A P\cdot A P^{\prime} = A E^{2} = A M\cdot A L\) , as the circle with diameter \(L E\) is tangent to \(A E\) . Thus, \(P P^{\prime}M^{\prime}L\) is cyclic. Since \(I D \parallel L P^{\prime}\) , \(I\) lies on \(M^{\prime}L\) , and \(D\) lies on \(P P^{\prime}\) . By Reim's, we also have \(P D M^{\prime}I\) is cyclic. As \(I M\) is a diameter of \((D M^{\prime}I)\) , we have \(\angle I P M = 90^{\circ}\) . -![](data:image/jpeg;base64,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) +![md5:bd8de87f9a899904f1b27f0c1c33d28a](bd8de87f9a899904f1b27f0c1c33d28a.jpeg) 9. [60] Let \(\mathbb{Z}\) be the set of integers. Determine, with proof, all primes \(p\) for which there exists a function \(f\colon \mathbb{Z}\to \mathbb{Z}\) such that for any integer \(x\) , diff --git a/HarvardMIT/md/en-284-tournaments-2025-hmic-solutions.md b/HarvardMIT/md/en-284-tournaments-2025-hmic-solutions.md index 34e8e8ee01bf3d78558cf7ba5d636f78098cf97c..7611897daa196c5465a81b7a56273bf677590763 100644 --- a/HarvardMIT/md/en-284-tournaments-2025-hmic-solutions.md +++ b/HarvardMIT/md/en-284-tournaments-2025-hmic-solutions.md @@ -7,7 +7,7 @@ Proposed by: Albert Wang -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFeAfkDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqK5h+02s0HmSR+YjJvjbay5GMg9j6GsrwtqNxfaR5N8wOo2MjWl5xjMiY+fHo6lXHs4oA2qKKKACiiigAorjf7QvJfi4NOW5lFlHpZmaEMdm8MBnHqfNH/fI9K7KrqQcHZ9k/vVwQUUUVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVz9/dXGpeJrXSLKZ4obPbd6hLG2DjP7qHI/vEFmH91cHh6AOgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5u6/4k3jO2uxxaawgtZvRbhAWib/AIEu9SfVUFdJWZ4g0s6zodzZxyCK4IElvL/zzmQho3/Bgp/CgDTorP0PUxrOi2l/5ZieVP3kR6xyA4dD7qwZfwrQoAKKKKAOI0bFx8W/Er97O0tovp5ihv8A2Su3rkPC0Qfxr4zvR/y0u7eDP/XOBf8A4quvrfEfH8o/khLYKKKKwGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFDWtVi0XSZ76RGkKALHCn3pZGO1EX3ZiAPrVfw7pUul6YftbrLqN1Ibi9lXo8rYzj/ZUAKv8AsqKoR/8AFReK2mPzaborlI/SW7Iwze4jU7R/tM3da6agAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOd00/2V4s1HSzxBfr/aNsOwbISdR/wLY/1lNdFXPeLlNpZW2uxg+ZpM4uXx1MBBWYf98MzY9UFdArBlDKQQRkEd6AFooooA5PwNud/E87f8tdducfRQkf/sldZXN+Bykvh+a5QcXGo30p983MmP0ArpK3xX8aS7P8hR2CiiisBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWL4k1O4sbGO20/adUv5Ps1mCMhWIJMhH91FBY+uMdSK2iQBk8Cua8Pj+3NUn8TSc27KbbTAe0APzSj/rowB/3VT1NAGzpOmW+j6Vb6fbbvKgTaGY5Zz1LMe7EkknuSauUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAyWJJonilQPG6lWUjIIPBFYfg+R00VtLmctcaVM1i5Y8sqYMbH3aMxt+Nb9c6f8AiW+O1bpBq9rtPp58PI/Fo3P4RUAdFRRUVxMttayzt92NC5+gGaAOZ+GqkfD7SWbrIjy/99yM39a6usHwRGsfgLw8qjA/s63P4mNSf1Nb1b4n+PP1f5ijsFFFFYDCiiigAooooAKKKKACiiigAooooAKKKr317b6bYXF9dyCK3t42kkc9lAyaAMTxNLJqU9v4atnZZL5S95IhwYrUHD89i5IQfViPu10EUUcESRRIqRooVVUYCgcAAVieGbK4ENxrGoxmPUtTYSyRt1gjH+rh/wCAqef9pnPet6gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArn/GKtDoY1SMEy6VMl+MDnYn+tA+sRkH410FMliSeF4pVDxupVlPQg8EUAOVldQykFSMgjoRWX4nlMPhPWZRwUsZ2/JDVXwbLJ/wjUFnOxafTnewkJ6nymKKx/3lCt/wKl8bOI/AniBj/wBA64A+pjYVrQjzVYru1+YnsT+FY/J8IaJEeqWEC/lGta9VdMQRaVZxjosCKPwUVaqJS5pN9xhRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAVzOo/8VB4ki0hfm0/TmS6vz2kl+9DF+H+sYeydmrU13Vho2ky3QiM05Iit4AcGaVjhEH1JHPYZPam6BpJ0fSkgllE13IzT3c+MebM3Lt9M8AdgAO1AGpRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc9po+w+NNas+kd7FDfxj1fHlSfkI4j/AMCqt8SpvI+HOuvnGbYr+ZA/rVnW/wDRPFHh3UBwHkmsJD6LIm8Z/wCBwoP+BVlfFxmHwx1hV+84iUf9/Uz+ma3wv8eHqvzFLY7G1G20hX0jUfpUtR25zbREd0H8qkrAYUUUUAFFFFABRRRQAUUUUAFFFFABRRWH4l1C4gtYNN059up6i5gt2xnyhjLyn2Rcn3baO9AFWz/4qHxPJqJ+bTtJd7e09Jbj7ssn/ARmMe5k9q6aqunafb6VptvYWibLe3jEaAnJwO5PcnqT3NWqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKwLzSNTtLuW/0O/O+Rt8theuzwSH/Zbloj/u5X/ZPWgDforE07xLbXd2un3sMum6oQSLS5wDIB1MbD5ZB/unI7gVt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHPeNx5fhW5vR97T3ivwfQQyLI35qrD8azPiivneC5YBz5r4HvhHf8A9lrrNQtE1DTbqyk+5cQvE30YEH+dcJeTPrHgfwn5n+tuYz5o9GFlPu/8eGK3w38S/a7+5Niex3Wntv021f8AvQof0FWazfD0vn+GdKmH8dnC35oDWlWAwooooAKKKKACiiigAooooAKKKKAEd1jRndgqqMlicACuc8No2rXlx4nnUgXS+VYIwwY7UHIb6yH5z7bB2o8RM2sX1v4YhJ2XC+fqLA/ctgcbPrIRt/3Q57V0aqqKFUAKBgADgCgBaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKmo6ZY6vaNa6hax3EBIO1xnBHQg9QR2I5FYn2fXfD3No8mt6aP+XeZwLuIf7Eh4lHs+G/2j0rpqKAM/Stb0/Wo5Gsp8yRHbNBIpSWFvR0bDKfqK0KytV8PWOrSx3DiS3vohiG9tm2TRj0Ddx/stlT3BrO/tXV9A+XXIDfWI6alZRHcg/wCmsIyR/vJkdyFFAHTUVDaXltf2sd1Z3EVxbyDcksThlYexHWpqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4DRkDXek6c3S11LU1x6IGkC/wDjsi139cFpHHxNv7XtDLdzD6NFYn+bv+Vb4f436S/9JYmb3gdy/gPQN3310+BG/wB5UAP6g1v1z/gr5fDMcP8Az73V1b49PLuJE/8AZa6CsBhRRRQAUUUUAFFFFABRRRQAVV1LUbfSdMuNQu2KwW6F3wMk47AdyegHcmrVc1df8VD4oSyHzadpDrNc+ktzjdHH/wAABEh9zH6GgC14a064trSa/wBRUDVNRfz7kZz5fGEiB9EXC+53HvW3RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTXkSPbvdV3MFXccZPoPegB1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAYF34ZVLuTUNDujpd/Id0mxN0E5/6axZAY/wC0Nrf7VMg8TNZTpZ+I7UabO5Cx3Ifdaznttk42k/3XAPpu610VRzwRXMDwTxJLDIpV45FDKwPUEHqKAJKK5r+w9R0L5/Dlwr2o66VeOTEB6RSctH9PmX0C9au6X4js9RuTYypLY6mq7nsboBZMdyvZ1/2lJFAGxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVxOmxY+LusN2Fijf8AfXlj/wBp121ctpkYPxL8QSf3LCzX8zL/APE1vQ0U32X52X6iZZ8Lny59fsz/AMu+qyYHtIiTf+1TXQVz+n/6P451u36C4tba7Hu37yNvyEafnXQVgMKKKKACiiigAooooAKKKKAMvxBqraRpbSwRia9mcQWkBOPNmbhQfbqSeygntT9D0pdG0mKzEhmlyZJ52HzTSsdzufcsSfbp2rL0z/if+Iptab5rGwL2unjs75xNN+Y8tT6K56NXS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVzl1rt1qd1LpvhxY5ZI2KXGoSDdBbHuox/rJB/dBwP4iOhAL2r67Dpbx2sUT3mpTgm3socb3/wBok8Ig7seB7nANbTtBmkvk1bXZku9SXPkxpnyLQHqIwerY4Ln5j/sjirmkaJa6OkrRtJPdzkNcXc53Szt6sfQdlGAOwFaVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVR1TR7DWbYQX9ssyq25GyVeNuzIwwVb3BBq9RQBzX/E/8Pf8APTXdNH0F5CP0WYD/AIC3++a19L1iw1m2M9hcrMqnbIuCrxt/ddTgq3sQDV6sfVPDlnqVyL2N5bLUkXal9akLIB2DcEOv+ywI9qANiiua/tzUtC+TxHbrJajpqtmhMYHrLHy0f1G5e5K9K6GCeG6gSe3lSWGRQySRsGVge4I6igCSiiigAooooAKKKKACiiigAooooAK5TQ2L/EPxYeyRWMf/AI5I3/s1dXXM+HIlbxR4tu1Od99DD/3xbRf1Y1vR+Cp6f+3IT6E2pYtPG2h3XRbqG4sT7thZV/IRSfma6Cue8Zgw6Gmpj72mXMV6T6Ro373/AMhmSuhrAYUUUUAFFFFABRRRQAVg+Jry4MdvounytHqGpExrIvWCEY82X/gIIA/2mWtuaaO3gkmmdY4o1Lu7HAUAZJJ9KwPDUMl/LceJLtGSa/AW2jcYMNqMmMY7Fsl292A/hFAG3ZWdvp9jBZWsSxW8EaxxovRVAwBU9FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVWv9QtNLspLy+uI7e3jGWkkOAP8T6DvVDVfEEVjcrYWkD3+quu5LOEgFV/vyN0jT3PXsCeKgsfD0s17FqmvTpe6hGd0Magi3tD/wBM1PVv9tvmPbaOKAK3lal4r5uBcaXoh6Q5Mdzdj/bI5iQ/3R857leQeitbW3sbWK1tYI4LeJQscUahVUegA6VNRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc7P4Zayne88OXQ0y4c7pLfZutZz33R8bSf7yEH13dK6KigDAtPEyx3UdhrlsdKvpDtj3vuguD/0ylwAT/ssFb271v1Dd2ltf2slreW8Vxbyja8UqBlYehB61gf2Vq+gfNoc5vbEddNvZSWUf9Mpjkj/AHXyOwKigDpaKytK8Q2OrSvbIZLa/iGZrK5XZNGPUr3X/aUlT2NaM8yW0DzOJCqDJEcbO34KoJP0AoAw/GmtXeieF9QudNRZNQS1mmhVuQoRCzOR6Dj6kqO9aul3f9oaRZXvH+kQJLx/tKD/AFrmrq1k1zQ9R1SS41S0F5bPAtp9j+dY/mUAxtGXyc5OPUdgDVz4fvcHwFokN3bXFtdW9nFbyxXELRurIoU8MAe3WgDpKKKKACiiigArj/h/I1xb+IbsnIuNcunQ+qgqi/oorpdVv49K0e91GX/V2sDztn0VST/Kub+GdnLYeC4beckzR3E8chPUukjIx/NTW9PSlN+i/X9BPc6m6tor2zntZ13wzxtHIp7qwwR+RrJ8I3Ms/hq1iuWLXdnus7gnqZIiULf8C27vowrcrnLX/iVeNry1PFvq8Qu4vQTxhUkH4p5RH+6xrAZ0dFFFABRRRQAUUVS1bU4NH0q4v7gMY4VyEQZZ2JwqKO7MSAB6kUAY+u/8TzVoPDcfNttW51Mjp5OfkiP/AF0YHP8Asow7iulrH8OaZPp9g898VbU72Q3N4ynIDkABAf7qKFQey56k1sUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFY+qeIrbT7kWNvFJf6o67ksrfBfHZnJ4jX/aYj2yeKANSaeK2geeeVIoY1LPI7BVUDqST0Fc5/aepeJvk0QvY6YfvapLH88o/6YIw6f9NGGPQN1p8Ph241WdLzxNLHdMjB4tPiz9lgI6Eg8ysP7zDA7KtdJQBR0rR7LRrZobOIrvbfLK7F5JX7s7nlm9zV6iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAxvEugw69pE8IVEv0jc2V1yr28pUhXVlwwwcdDzXlvw00Lx54GvNSvPEVtd3mnTfK8UVyLiUPnPnKmSWGMggfMcjg4r2uigCppuqWOr2gutPuo7iEkruQ/dI6qR1BHcHkVbrF1Lw1bXd2dQsppdN1TGPtdtgFwOgkU/LIvswyOxHWqg8Q3mikReJ7dIYs4XVLYE2zf74OWhP+9lf9rtQB0tFNR0ljWSN1dGAKspyCD3Bp1ABRRRQBz3i/8A0mxstIH3tTvYoGA7xqfMl/AxxuPxFSeEMnw6jn/lpc3Uv/fU8jf1qKL/AImfjqaUcwaRbeQPTz5sM34rGsf/AH9NTeDOfBukP/z1tll/76+b+tbx/gS9Y/lIXU3KxPFFlcXGmJeWKb9Q06UXdso6uygho/8AgaF0/wCBZ7Vt0VgMr2F9b6np9vfWj77e4jWWNvVSMirFc1p5/wCEe8RSaS/y6fqLvcWB7Ry/elh/HmRfq46KK6WgAooooAOlcySPEXilQpDaZozhjjlZrsjI+ojU5/3nHdKyvi5p95rPgg6PptwY7+/uooYYgcefzllJ7AKGYn0SnfCjwnqngzwUumaxcRyXBneYRxtuWFWA+UHHPIJPbJoA7misdPFWhSrMyapbMsLFJWD8RsOoY9iPetWGaK4hSaCRJYpFDI6MGVgehBHUUAPooooAKKKKACiiigAooooAKKKR3WNGd2CqoyWJwAPWgBarX+o2el2b3d/cxW9unWSRsDPYe5PYdTWG3iS41djD4YtUu1zhtRnyton+6RzKfZPl9WFWrDw1DDdpqGpXEmp6mv3bi4ACxe0UY+WMe4+Y9yaAKn2jW/EZxaLLo2ln/l5lT/Sph/sIeIh7uC3+yOtbGl6PYaNbNBYwCMO2+RySzyt3Z3OSze5JNXqKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApCAwIIBB4INLRQBzb+Gp9Lka48M3KWRJLPYSgtaSHvhRzEfdOO5VqnsPE0Mt4mnapbyaXqb8JBOQUm/65SD5ZPpww7qK3arX+n2eqWb2l/bRXNu/3o5VDA+/Pf3oAs1U1TUYNI0q61C5J8m2iaRgoyTgdAO5PQD1NYn2HW/D/ADpkr6tp4/5cbqX9/GP+mUrfe/3ZP++x0qkNXtfGXiG20q3EqW+mlL3UIJ4zHIJQf3MTKeeGBckcfKnJDUAauiWk+keF5Jr0AX8wkvLsg5xK+WYA+i8KPZRVjwtF5HhDRYenl2EC/lGop3iWXyPC2rzf887KZvyQmrenxeRptrDjHlwov5ACt9qHq/yX/BF1LNFFFYDKGs6TDrWmvaTO8bZDxTR8PDIpyrqfUEA/oeDVTQdYmvPO07UkSHWLPAuI14WRT92VPVGx+Byp5FbVZOt6KNTENzbTm01O1Ja1u1XOwnqrD+JGwMr7AjBAIANaisXSNf8AtVydM1KAWOsRrlrctlZVH/LSJv40/UdCBUHia4mujb+HrKRkutR3edIhwYLZceY+exOQin+84PY0AR6L/wAT7Wp/EL82kQa100dimf3k3/A2GAf7qAj7xroZ5o7eCSeVgscal3Y9gBkmi3t4bS2itreNY4YkCRoowFUDAA9sVS1zSV13R7nTHvLm1iuY2ile2KByjAgjLKwGQeoGaAOG8PX2s6R8MZ9eSytvMvBPq80jzEuqyFpN3l7QGKoV+XeM46iuu8HadZaT4O0mz06aSezW2V4pZBhpA3zbiO2d2cdulRTeEYLrS49Ku9Sv7jTURY2tCY0SRFGArFEVtvHIyM9DxW+iJFGscaqiKAqqowAB0AFADqKKKACiiigAooqve39nptq11fXUFrbr96WaQIo/E0AWKQkKCSQAOSTXOnxFe6nhfD+ky3CH/l9vc29uPcZG9/wXB/vClHhY6iwk8R3z6pzn7KF8q0X/ALZAnf8A9tC34UAK/ipL2Vrfw9aNq0yna0yNstYz/tTYIOPRAxHcCkXwzJqTrN4kuxqJB3LZImy0Q/7mSZD7uSO4C10EcaRRrHGioijCqowAPQCnUAIqqihVAVQMAAYAFLRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVFc3MNnbS3NzKkUESF5JHOFVQMkk+lAFHXdXGjaaZ1iM91IwhtbcHBmmb7qj09SewBPasu28F2R0yIX5aTVt7Ty6lAxim85vvMjDkL0AU5G1VBBAp+jQTa1qI8R30TxxhSmm20gw0UR6ysD0d/Tqq4HBLV0lAHBeK7jXtJ8JavaajH/allNaSQrf26hJY9ylf3sfQ9fvJ/3yBzXaWF/Z6nZx3dhcxXNu4+WSJgyn8qzPF/PhqZP+es0EX/fUyL/WkvvDMUl5JqOlXL6XqTnLzQKCkx/6axn5X+vDDswreX8CPrL8oi6m7RXOR+JZtMkW38TWyWLEhUvoiWtJT2+Y8xk+j4HYM1dECCAQQQehFYDFooooAy9fstLvNKlk1cKtvbKZ/P3FGg2jO9XHKkDPINcn4dTxFpKy63qFlNqy36qc7lW9toFz5cbJ8qvwSzbSDuZuGrb1f/if69DoK82Vrsu9RPZucxQ/iRvYf3VAPD10tAGXpniPSdXlMNpep9pUZe1lBimT/ejYBh+IrUqjqWjaZrESx6lYW12qnK+dEGKn1BPQ+4rN/wCETjg/5B2s6zYDssd35yj6LMHA+gFAHQUVz40nxHF/qvE6yD/p509GP/jhSj+z/FfQ+IdNx7aS2f8A0fQB0FFc/wD2P4gl/wBd4qljH/TrYxIf/Hw9H/CJxTf8f2s63eeoa+aEH6iHYPwxQBqX+q6dpUXm6jf2tpH/AHriZYx+prKPiyG540jTdR1Qno8MHlxfXzJdqkf7pNW9P8MaHpc3nWWk2cM56ziIGQ/Vz8x/E1rUAc6IPFOp/wDHxdWejQn+C0H2mfH/AF0cBFPtsb61YsvCulWl0t5JFJe3y9Lu9kM8i/7pbhPooAraooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqK5uYLK1lubqaOGCJS8kkjBVVR1JJ6CgCR3VEZ3YKqjJYnAArlolbxldx3MgK+Hbdw8EbDH2+QHIkb/pkDyo/iPzdAMiw3HjJxJdxSW3h4HKW0ilZL/0aQHlYvRDy38WBwepACgAAADgAdqAFooooAw/FfzabZxf89NTsh+VxG3/ALLW5WH4k+abRIv7+px/+Oo7/wDstblbz0pQXq/yX6CW42SNJY2jkRXRgVZWGQQexFc2fD17or+b4YuUigGS2lXJJtm/65kZaH/gOV/2e9dNRWAzF03xJbXl2NPu4ZdO1TBP2O6wGcDqY2HyyL7qTjuB0q1rWqx6LpM168bSsuFihT700jHaiL7sxA/GpNS0ux1e0NrqFrHcQkhgrjlWHRlPVSOxGCK8IttP8fD4rteQHUtY0DSb9wu64EkflqCpVQ7ANKqsVz13A85zQB7b4e0qTStMxdOst/cubi8mXo8zdcf7IACr6KorWrP0rW9P1qJ3sp9zRnbNC6lJYW/uujYZT7EVoUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFMlmit4XmmkSOJBuZ3YAKPUk9K5067f67+68NwqLY8Nqt0h8nH/TJODKffhP9o9KANTVtbs9Gjj88vJcTErBawrvlnb0Re/ueAOpIFZlvot5rNzFf+Iwm2Ng9tpaNuihI6NIf+Wkg/75U9ASNxv6ToFrpUklzvlutQmAE97ckNLIPTOAFX0VQFHpWrQAUUUUAFFFFAGHrnz654aj9L+SQ/hbTD+bCtysPU/n8W6Cn91LmX8lVf8A2etyt63wU/T/ANuYluwoopCQASTgDqTWAzG8SalcWVlFaaeV/tS/k+z2mRkIxGWkI/uooLH1wB3Fc94FtbfXdFW+O99FR3g021dsq8aMVaaUfxu7hm+bIHGOSSdbw+v9t6jceJZRmCVTb6ap7W+cmT/towB/3VT3qHw7pGreFdCXQ7S3truC2ZxZzvOU/dliwEg2kgjOPlznGeM0AY0Wk2l58SNX0uBprcWtjb3MNzbPsks5HZwY1PTYwVW8sgrnPHNb/wDa+raB8uuwfbLIdNTsoj8o/wCmsQyV/wB5cjuQoq34f8ProovLmaf7VqWoS+feXRXbvbGFVRztRRgKMnA7kk1tUAQ2t3b31rHdWk8U9vKu5JYnDKw9QRwamrn7rwyIbqS/0K6Ol3sjb5FRN1vcH/ppFkAn/aUq3v2pLfxMbS4jsvENqNMuXIWObfutZz22S4GCf7rhT6Z60AdDRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWPqHinR9Oufskt4Jb3/AJ9LVGnn/wC/aAsB7kYqr9t8SarxY6dDpMB/5b6iRLL9RDG2B/wJwfVaAN6aeK2heaeVIokGWd2Cqo9ST0rA/wCEnl1T5PDdg1+Dx9tmJhtR7hyMyf8AAAR7ipIfCVk8yXOrz3Gs3KHcr3xDRofVIgBGp9wufet/pQBzsXhf7ZMlz4iuzqs6nckDJstYj22xZIJHZnLEdiK6KiigAooooAKKKKACiiigDDufn8daYO0em3bH6mS3A/ka3Kwx8/jxv+mWmD/x+U//ABFblb1tFBdl+bb/AFEgrnPEsj6ncW/hm2dla9UyXrqcGK1Bw3PYufkHsWI+7W3f31vpmn3F9dyCO3t4zJIx7KBk1leGbG4SC41XUYympakwmmQ9YUAxHD/wFev+0WPesBm3HGkUaxxoqIgCqqjAAHQCnUUUAFFFFABUdxbw3dvJb3EMc0Mi7XjkUMrD0IPBFSUUAc1/Yup6D8/h64E1oOul3khKAekUnLR/7p3L2AXrV7S/EVnqVw1m6y2epIu6Sxul2SqPUckOv+0pI9616o6po9hrNusN/brKEbdG4JV4m/vI4wyt7gg0AXqK5rdr3h774k13TV/iUAXkQ9xwsoHttb2Y1saZq1hrNqbjT7lJkDbXAyGRh1VlPKsPQgGgC7RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFV7q/s7Jd13dwQD1lkC/wAzWQ/jfwurlE12xnkHVLaUTN/3ymTQBv0Vz3/CXW0v/HlpWt3fps06SIH6NKEH60o1fxDcD/RfDBh9DqF9HH/6KEtAHQUVz32bxddf6zUdJsEPVYLV53/B2dR/45R/wi0lx/yEvEGtXmeqLcC2X6fuFQ4+pNAGxe6jY6bD51/eW9rF/fnlVF/Mmsc+MdPm40y3v9VY9DZWrNGfpK22P/x6rVl4V0HT5xPb6TaC4H/Lw8YeU/V2yx/OtegDnftPiy//ANRYafpMZ6PeSm5lH/bOPav/AJENA8Ktd861rOo6jnrCJPs8P02Rbdw9nLV0VFAFWw0yw0q3Fvp9lb2kI58uCMIv5CrVFFABRRRQAUUUUAFFFFABRRRQAUUUUAYdp8/jnVW7Jp9og+pkuCf6VuVh6X8/irX3/u/Z4vyQt/7PVnXtW/sbSZLlIvOuWYRW0AODNMxwi/iTyewBPat8R8a9I/8ApKEjMv8A/ioPEsWlL82n6YyXN6e0k33oovw4kP0j9TXTVmaBpP8AY2lJbyS+ddOzTXU+MedMxy7fTPQdgAO1adYDCiiigAooooAKKKKACiiigArH1Pw5aahdC+gklsNTUYW9tSFkIHQODxIv+ywI9MHmtiigDmv7dv8AQ/3fiS3U2w4Gq2iEw/WVOWi+vzL6sOldFDNFcQpNDIkkTgMjowKsD0II6in1zs3hp7CZ7rw3crp0zEtJaMu60mPfMYxsY/3kwe5DdKAOiorBs/EyC7j0/WbZtL1CQ7Y1lbdDOf8AplLwG/3Thv8AZreoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArEuvCWiX11JcXdm1xJI25hNPI659lLYA9gMVt0UAY9r4T8OWTbrXQNLhbruS0jB/PFayIkaBEVVUdAowBTqKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDD0L5tZ8Syf9RBEH0FtB/Umqtj/wAVD4mk1Nvm07S2e2s/SSf7ssv/AAHmMe/meorMa/uEh1Kw06TZqeratNDA45MKKqrJN/wBV49WKjvXYafYW+l6db2FpH5dvbxiONfQAY/E+9b4n+JbskvuSQlsWaKKKwGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQXlla6haSWl7bxXFvIMPFKgZWHuDWD/ZmsaB82jTHULAf8w68lPmIP+mUx5/4C+R/tKK6WigDL0rX7HV3kgiaSG8iGZrO4Xy5ovcqeo9GGVPYmtSs7VdDsNZSP7XCfOiOYbiJiksJ9Uccr+HXvmsv7Vrnh/i+jk1nTh/y9W8Y+1RD/ppGOJPqgB/2D1oA6Wiqun6lZatZrd2F1FcQNwHjbIBHUH0I7g8irVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNd0ijaSRlRFBZmY4AA6k06ua8RE61qEHhiInyplFxqTD+G2BwI/rIwK/7of2oAzfh7ax30d/4nMhlGoXVwLPKkGK389zjB6FmyT7BB/DXb1heDgP+EXtWAAEjyyDH+1K7f1rdrfFfx5+r/MUdgooorAYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJqHhqC5u21Gwnk0zUyBm6twP3mOglQ/LIPqMjsRVZfEVzpDCHxNbJbJnC6lBk2r/72eYT/AL3y+jGukpGVXUqwDKRggjIIoAFZXQOjBlYZBByCKWucbw5c6S5m8M3KWqk5bTp8m1f/AHQOYj7r8vqpqxp/iWC4vF07UIJNM1Ns7ba4IxLjqYnHyyD6cjuBQBt0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAVNU1K30jS7nULpiIYELttGWb0AHck4AHckVn+G9OnsrGa+1EKNTv3+0XeDkRnGFjB/uooC+5BPc1Un/4qHxUlqPm03RnWWf0lusZRPpGCHP+0yf3TW3qkvkaTeTdPLgdvyUmnFczSAzvBgP/AAhOhser2MMh+rID/Wtys3w9F5HhrSof+ednCv5IBWlWuIfNWm/N/mJbBRRRWIwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqrqGnWWq2b2l/bRXEDclJFyM9iPQjsRyKtUUAc19k1zw/zYSSaxpw/wCXS4kH2mIf9M5W4k+jkH/b7VqaVrlhrKSfZJSJoiBNbyqY5YT6Oh5H8j2zWjWXqugWOrvHNMrw3kQxDeW7eXNF9GHb1U5U9waANSiua/tLWNA+XWIW1GwH/MQs4v3iD/prCOf+BJn/AHVFb1ne2uo2kd3ZXEVxbyDKSxOGVh7EUAT0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZPiHVpNJ0vfbRrLf3Di3s4T0kmb7oP+yOWJ7KpNa1YyaZNc+Kn1O7dGhtIvJsolJO1mAMkjcfePyqPQA/3iKALOiaSmi6TDZLI0rrl5pm+9NKx3O592Yk/jVfxZL5Hg3XJR1TT52H4RtWxWZ4isZNS8OahYwsivcQNGC5IHIwc49q2w9vbQv3X5iexft4vItoov7iBfyGKkoorJu7uMKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYV54aT7XJqGj3LaXqDndI8S7opz/wBNYuA/+8MN/tVu0UAc7F4lk0+VLXxJbLp8rEKl2jbrWYnphz9wn+6+PQFq6KmSxRzwvFNGkkbgqyOuQwPUEHrXOtod7oKmbw7cotqoy2mXbEwY/wCmbAFovoAy+ijrQB0tFIpyoJ4yKWgAooooAKKKKACiiigAooooA//Z) +![md5:47ea9ee7f0abaece53f6f41b3135769c](47ea9ee7f0abaece53f6f41b3135769c.jpeg) Solution 1: Let \(d(P, X Y)\) be the distance from \(P\) to line \(X Y\) . We will first prove \(\mathcal{P}_{A}\) and \(\mathcal{P}_{B}\) intersect at most once. @@ -75,7 +75,7 @@ The right- hand side is bounded in \(t\) , so the left- hand side must also be b Proposed by: Derek Liu -![](data:image/jpeg;base64,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) +![md5:4dc7919b5d7f2c198965ad8b21a84e25](4dc7919b5d7f2c198965ad8b21a84e25.jpeg) Solution: In what follows, all angles are directed. diff --git a/HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl b/HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl index 7cfffa2da6d8f9f9df1c3939a8b16845eb9f43b1..39296670defd322fed2a658d57cd779e76aa6182 100644 --- a/HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl +++ b/HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl @@ -5,9 +5,9 @@ {"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Ben has 16 balls labeled 1, 2, 3, ..., 16, as well as 4 indistinguishable boxes. Two balls are neighbors if their labels differ by 1. Compute the number of ways for him to put 4 balls in each box such that each ball is in the same box as at least one of its neighbors. (The order in which the balls are placed does not matter.)", "solution": "Answer: 105", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n3. ", "solution_match": "\nProposed by: Benjamin Shimabukuro \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Ben has 16 balls labeled 1, 2, 3, ..., 16, as well as 4 indistinguishable boxes. Two balls are neighbors if their labels differ by 1. Compute the number of ways for him to put 4 balls in each box such that each ball is in the same box as at least one of its neighbors. (The order in which the balls are placed does not matter.)", "solution": "Each box must either contain a single group of four consecutive balls (e.g. 5, 6, 7, 8) or two groups of two consecutive balls (e.g. 5, 6, 9, 10). Since all groups have even lengths, this means that 1 and 2 are in the same group, 3 and 4 are in the same group, and so on. We can think of each of these 8 pairs of balls as an individual unit, so the answer is equal to the number of ways to put 8 objects in 4 indistinguishable boxes, where each box has 2 objects without any additional restrictions. The number of ways to do this is \\(\\frac{8!}{2^{4}\\cdot 4!} = \\boxed{105}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n3. ", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Sophie is at \\((0,0)\\) on a coordinate grid and would like to get to \\((3,3)\\) . If Sophie is at \\((x,y)\\) , in a single step she can move to one of \\((x + 1,y)\\) , \\((x,y + 1)\\) , \\((x - 1,y + 1)\\) , or \\((x + 1,y - 1)\\) . She cannot revisit any points along her path, and neither her \\(x\\) - coordinate nor her \\(y\\) - coordinate can ever be less than 0 or greater than 3. Compute the number of ways for Sophie to reach \\((3,3)\\) .", "solution": "Answer: 2304", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nProposed by: Derek Liu \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Sophie is at \\((0,0)\\) on a coordinate grid and would like to get to \\((3,3)\\) . If Sophie is at \\((x,y)\\) , in a single step she can move to one of \\((x + 1,y)\\) , \\((x,y + 1)\\) , \\((x - 1,y + 1)\\) , or \\((x + 1,y - 1)\\) . She cannot revisit any points along her path, and neither her \\(x\\) - coordinate nor her \\(y\\) - coordinate can ever be less than 0 or greater than 3. Compute the number of ways for Sophie to reach \\((3,3)\\) .", "solution": "Let a lateral move refer to one which is either up or right. Then the lateral moves are the only ones which increase Kelvin's sum of coordinates by 1, while all other moves do not change the sum, so Kelvin must make 6 of them, one to increase this sum from \\(i\\) to \\(i + 1\\) for each \\(i \\in [0, 5]\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nWe claim there exists a unique path corresponding to each set of 6 lateral moves chosen in this way. Indeed, the diagonal moves allow Kelvin to get from any point on \\(x + y = i\\) to any second point on \\(x + y = i\\) in exactly one way. \n\nObserve that when \\(i \\leq 2\\) , the number of lateral moves that increase the sum of coordinates from \\(i\\) to \\(i + 1\\) is \\(2i\\) , as is the number that increase it from \\(5 - i\\) to \\(6 - i\\) . Thus the answer is \\(2 \\cdot 4 \\cdot 6 \\cdot 6 \\cdot 4 \\cdot 2 = \\lfloor 2304 \\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nSolution: "}} +{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Sophie is at \\((0,0)\\) on a coordinate grid and would like to get to \\((3,3)\\) . If Sophie is at \\((x,y)\\) , in a single step she can move to one of \\((x + 1,y)\\) , \\((x,y + 1)\\) , \\((x - 1,y + 1)\\) , or \\((x + 1,y - 1)\\) . She cannot revisit any points along her path, and neither her \\(x\\) - coordinate nor her \\(y\\) - coordinate can ever be less than 0 or greater than 3. Compute the number of ways for Sophie to reach \\((3,3)\\) .", "solution": "Let a lateral move refer to one which is either up or right. Then the lateral moves are the only ones which increase Kelvin's sum of coordinates by 1, while all other moves do not change the sum, so Kelvin must make 6 of them, one to increase this sum from \\(i\\) to \\(i + 1\\) for each \\(i \\in [0, 5]\\) . \n\n![md5:5de42bbe7b204ff4624cd4bc2816e63f](5de42bbe7b204ff4624cd4bc2816e63f.jpeg)\n \n\nWe claim there exists a unique path corresponding to each set of 6 lateral moves chosen in this way. Indeed, the diagonal moves allow Kelvin to get from any point on \\(x + y = i\\) to any second point on \\(x + y = i\\) in exactly one way. \n\nObserve that when \\(i \\leq 2\\) , the number of lateral moves that increase the sum of coordinates from \\(i\\) to \\(i + 1\\) is \\(2i\\) , as is the number that increase it from \\(5 - i\\) to \\(6 - i\\) . Thus the answer is \\(2 \\cdot 4 \\cdot 6 \\cdot 6 \\cdot 4 \\cdot 2 = \\lfloor 2304 \\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "In an \\(11 \\times 11\\) grid of cells, each pair of edge-adjacent cells is connected by a door. Karthik wants to walk a path in this grid. He can start in any cell, but he must end in the same cell he started in, and he cannot go through any door more than once (not even in opposite directions). Compute the maximum number of doors he can go through in such a path.", "solution": "Answer: 200", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n5. ", "solution_match": "\nProposed by: Derek Liu \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "In an \\(11 \\times 11\\) grid of cells, each pair of edge-adjacent cells is connected by a door. Karthik wants to walk a path in this grid. He can start in any cell, but he must end in the same cell he started in, and he cannot go through any door more than once (not even in opposite directions). Compute the maximum number of doors he can go through in such a path.", "solution": "![](data:image/jpeg;base64,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)\n \n\nThis is simply asking for the longest circuit in the adjacency graph of this grid. Note that this grid has \\(4 \\cdot 9 = 36\\) cells of odd degree, 9 along each side. If we color the cells with checkerboard colors so that the corners are black, then 20 of these 36 cells are white. An Eulerian circuit uses an even number of doors from each cell, so at least one door from each of these cells goes unused. No door connects two white cells, so at least 20 doors are unused, leaving at most \\(2 \\cdot 10 \\cdot 11 - 20 = \\lfloor 200 \\rfloor\\) doors crossed.\n\n\n\nTo see this is achievable, we first delete the bottom- right cell and its 2 doors, as well as the top- left cell and its 2 doors. This leaves 8 odd- degree cells along each side of the grid; we can delete 4 doors along each to cover all remaining odd- degree cells, for 20 total doors deleted. The resulting graph is connected and has no odd- degree cells, so it must have an Eulerian circuit. This circuit is our desired path.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n5. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "In an \\(11 \\times 11\\) grid of cells, each pair of edge-adjacent cells is connected by a door. Karthik wants to walk a path in this grid. He can start in any cell, but he must end in the same cell he started in, and he cannot go through any door more than once (not even in opposite directions). Compute the maximum number of doors he can go through in such a path.", "solution": "![md5:7a6cf169c1f9e776c88f599e1de5b658](7a6cf169c1f9e776c88f599e1de5b658.jpeg)\n \n\nThis is simply asking for the longest circuit in the adjacency graph of this grid. Note that this grid has \\(4 \\cdot 9 = 36\\) cells of odd degree, 9 along each side. If we color the cells with checkerboard colors so that the corners are black, then 20 of these 36 cells are white. An Eulerian circuit uses an even number of doors from each cell, so at least one door from each of these cells goes unused. No door connects two white cells, so at least 20 doors are unused, leaving at most \\(2 \\cdot 10 \\cdot 11 - 20 = \\lfloor 200 \\rfloor\\) doors crossed.\n\n\n\nTo see this is achievable, we first delete the bottom- right cell and its 2 doors, as well as the top- left cell and its 2 doors. This leaves 8 odd- degree cells along each side of the grid; we can delete 4 doors along each to cover all remaining odd- degree cells, for 20 total doors deleted. The resulting graph is connected and has no odd- degree cells, so it must have an Eulerian circuit. This circuit is our desired path.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n5. ", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Compute the number of ways to pick two rectangles in a \\(5 \\times 5\\) grid of squares such that the edges of the rectangles lie on the lines of the grid and the rectangles do not overlap at their interiors, edges, or vertices. The order in which the rectangles are chosen does not matter.", "solution": "Answer: 6300", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n6. ", "solution_match": "\nProposed by: Jacob Paltrowitz \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Compute the number of ways to pick two rectangles in a \\(5 \\times 5\\) grid of squares such that the edges of the rectangles lie on the lines of the grid and the rectangles do not overlap at their interiors, edges, or vertices. The order in which the rectangles are chosen does not matter.", "solution": "A rectangle can be specified by two intervals, one specifying its horizontal extent ( \\(x\\) - coordinates of left and right sides) and one specifying its vertical extent ( \\(y\\) - coordinates of bottom and top sides). For the rectangles to not overlap, we need either the horizontal intervals or the vertical intervals to be disjoint (possibly both). \n\nFirst, we will count the number of ways for the horizontal intervals to be disjoint. Let these intervals be \\([a,b]\\) and \\([c,d]\\) . As the order of the rectangles does not matter, we can assume without loss of generality that \\(a< c\\) , so \\(a< b< c< d\\) . Then there are \\(\\binom{6}{4}\\) choices for \\(a\\) , \\(b\\) , \\(c\\) , and \\(d\\) . There are no restrictions on the vertical intervals, so the number of ways to choose them is \\(\\binom{6}{2}^{2}\\) . Thus, the total number of pairs of rectangles for which the horizontal intervals are disjoint is \\(\\binom{6}{4}\\binom{6}{2}^{2}\\) . \n\nBy symmetry, the total number of pairs of rectangles for which the vertical intervals are disjoint is the same. It remains to count the number of ways for both the horizontal and vertical intervals to be disjoint. Again, let the horizontal intervals be \\([a,b]\\) and \\([c,d]\\) , and let the vertical intervals be \\([e,f]\\) and \\([g,h]\\) . We can assume \\(a< b< c< d\\) without loss of generality, so there are \\(\\binom{6}{4}\\) ways to choose the horizontal intervals. However, the cases \\(e< f< g< h\\) and \\(g< h< e< f\\) are now distinct, so there are \\(2\\binom{6}{4}\\) ways to choose the vertical intervals. Therefore, there are \\(2\\binom{6}{4}^{2}\\) pairs of rectangles for which both the horizontal and vertical intervals are disjoint. \n\nThrough inclusion- exclusion, we get the final answer of \n\n\\[2\\cdot \\binom{6}{4}\\binom{6}{2}^{2} - 2\\cdot \\binom{6}{4}^{2} = \\boxed{6300}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n6. ", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Compute the number of ways to arrange 3 copies of each of the 26 lowercase letters of the English alphabet such that for any two distinct letters \\(x_{1}\\) and \\(x_{2}\\) , the number of \\(x_{2}\\) 's between the first and second occurrences of \\(x_{1}\\) equals the number of \\(x_{2}\\) 's between the second and third occurrences of \\(x_{1}\\) .", "solution": "Answer: 22526!", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nProposed by: Derek Liu \n\n"}} @@ -15,6 +15,6 @@ {"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Albert writes 2025 numbers \\(a_{1}\\) , ..., \\(a_{2025}\\) in a circle on a blackboard. Initially, each of the numbers is uniformly and independently sampled at random from the interval \\([0,1]\\) . Then, each second, he simultaneously replaces \\(a_{i}\\) with \\(\\max (a_{i - 1}, a_{i}, a_{i + 1})\\) for all \\(i = 1, 2, \\ldots , 2025\\) (where \\(a_{0} = a_{2025}\\) and \\(a_{2026} = a_{1}\\) ). Compute the expected value of the number of distinct values remaining after 100 seconds.", "solution": "Answer: \\(\\boxed{2025}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n8. ", "solution_match": "\nProposed by: Isaac Zhu \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Albert writes 2025 numbers \\(a_{1}\\) , ..., \\(a_{2025}\\) in a circle on a blackboard. Initially, each of the numbers is uniformly and independently sampled at random from the interval \\([0,1]\\) . Then, each second, he simultaneously replaces \\(a_{i}\\) with \\(\\max (a_{i - 1}, a_{i}, a_{i + 1})\\) for all \\(i = 1, 2, \\ldots , 2025\\) (where \\(a_{0} = a_{2025}\\) and \\(a_{2026} = a_{1}\\) ). Compute the expected value of the number of distinct values remaining after 100 seconds.", "solution": "We can assume that the initial numbers are all distinct, since this occurs with probability 1. For clarity, we denote the value of \\(a_{i}\\) after \\(t\\) seconds as \\(a_{i,t}\\) . The index \\(i\\) is taken mod 2025. \n\nIn general, after \\(k< 1012\\) seconds, we claim the expected number of distinct values remaining is \\(\\frac{2025}{k + 1}\\) . To show this, we first prove that for any remaining value, its appearances are consecutive. Indeed, note that for all \\(i\\) and \\(k\\) , \n\n\\[a_{i,k} = \\max (a_{i - 1,k - 1}, a_{i,k - 1}, a_{i + 1,k - 1}) = \\max (a_{i - 2,k - 2}, \\ldots , a_{i + 2,k - 2}) = \\dots = \\max (a_{i - k,0}, \\ldots , a_{i + k,0}).\\] \n\nGiven an initial number \\(a_{c,0}\\) , let \\(j_{1}\\) and \\(j_{2}\\) be the smallest positive integers such that \\(a_{c - j_{1},0} > a_{c,0}\\) and \\(a_{c + j_{2},0} > a_{c,0}\\) . As the initial numbers are distinct, we conclude \\(a_{i,k} = a_{c,0}\\) if and only if \\(\\{i - k, i - k + 1, \\ldots , i + k\\}\\) contains \\(c\\) but neither \\(c - j_{1}\\) nor \\(c + j_{2}\\) (mod 2025). The indices \\(i\\) that satisfy this are clearly consecutive.\n\n\n\nNow consider the indicator variables \n\n\\[\\mathbf{1}_{i} = \\left\\{ \\begin{array}{ll}1 & \\mathrm{if~}a_{i,k}\\neq a_{i + 1,k}\\\\ 0 & \\mathrm{otherwise} \\end{array} \\right.\\] \n\nfor \\(1\\leq i\\leq 2025\\) . Note that the number of distinct values on the board after \\(k\\) seconds is simply \\(\\textstyle \\sum_{i = 1}^{2025}\\mathbf{1}_{i}\\) . By linearity of expectation, it suffices to compute \\(\\mathbb{E}[\\mathbf{1}_{i}]\\) for each \\(i\\) . Recall \n\n\\[a_{i,k} = \\max (a_{i - k,0},\\ldots ,a_{i + k,0})\\] \n\nfor each \\(1\\leq i\\leq 2025\\) . Hence, the condition \\(a_{i,k}\\neq a_{i + 1,k}\\) can be written as \n\n\\[\\max (a_{i - k,0},\\ldots ,a_{i + k,0})\\neq \\max (a_{i + 1 - k,0},\\ldots ,a_{i + 1 + k,0}).\\] \n\nThis is the case if and only if \\(\\max (a_{i - k,0},\\ldots ,a_{i + k + 1,0})\\) is either \\(a_{i - k,0}\\) or \\(a_{i + k + 1,0}\\) (as \\(a_{i - k,0}\\neq a_{i + k + 1,0}\\) and \\(2k + 2< 2025\\) ). Since the \\(2k + 2\\) values \\(a_{i - k,0}\\) , ..., \\(a_{i + k + 1,0}\\) were sampled independently from the same distribution, each of \\(a_{i - k,0}\\) and \\(a_{i + k + 1,0}\\) has a \\(\\frac{1}{2k + 2}\\) probability of being their maximum. Hence, \n\n\\[\\mathbb{E}[\\mathbf{1}_{i}] = \\operatorname *{Pr}[a_{i,k}\\neq a_{i + 1,k}] = \\frac{2}{2k + 2} = \\frac{1}{k + 1}.\\] \n\nThus, the expected number of distinct values is \n\n\\[\\sum_{i = 1}^{2025}\\mathbb{E}[\\mathbf{1}_{i}] = \\frac{2025}{k + 1}.\\] \n\nSubstituting \\(k = 100\\) yields the answer \\(\\left[\\frac{2025}{101}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n8. ", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Two points are selected independently and uniformly at random inside a regular hexagon. Compute the probability that a line passing through both of the points intersects a pair of opposite edges of the hexagon.", "solution": "Answer: \\(\\frac{4}{9}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nProposed by: Albert Wang \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Two points are selected independently and uniformly at random inside a regular hexagon. Compute the probability that a line passing through both of the points intersects a pair of opposite edges of the hexagon.", "solution": "![](data:image/jpeg;base64,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)\n \n\nFirst, we compute the probability that the line through two random points in a triangle \\(A B C\\) passes through segments \\(\\overline{{A B}}\\) and \\(\\overline{{A C}}\\) . We can take an affine transform of the two random points and the triangle such that \\(A B C\\) becomes equilateral. Since the distribution of the two points is still uniform and independent, the probability of the line intersecting any two given sides is \\(\\frac{1}{3}\\) by symmetry. \n\nNext, we compute the probability that the line through two random points in a rectangle \\(A B C D\\) passes through opposite edges \\(\\overline{{A B}}\\) and \\(\\overline{{C D}}\\) .\n\n\n![](data:image/jpeg;base64,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)\n \n\nIf the line passes through \\(\\overline{{A B}}\\) and \\(\\overline{{B C}}\\) , the points must both lie in triangle \\(A B C\\) , whose area is half that of \\(A B C D\\) . Given this, the probability the line passes through those two sides is \\(\\frac{1}{3}\\) , as computed before. Thus the probability the line passes through \\(\\overline{{A B}}\\) and \\(\\overline{{B C}}\\) is \\(\\left(\\frac{1}{2}\\right)^{2}\\cdot \\frac{1}{3} = \\frac{1}{12}\\) . The same goes for the other pairs of adjacent edges. By symmetry, the line is equally likely to pass through either pair of opposite edges, each with probability \\(\\frac{1}{2}\\left(1 - 4\\cdot \\frac{1}{12}\\right) = \\frac{1}{3}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nWe now return to the original problem. If the line passes through a pair of opposite edges, then both points must be in the rectangle formed by these edges, which has area \\(\\frac{2}{3}\\) that of the hexagon. Given this, the probability the line passes through those two edges is \\(\\frac{1}{3}\\) as computed before. Thus, the probability that the line passes through the given pair of opposite edges is \\(\\left(\\frac{2}{3}\\right)^{2}\\cdot \\frac{1}{3} = \\frac{4}{27}\\) . Hence, the probability the line passes through any of the three pairs of opposite edges is \\(3\\cdot \\frac{4}{27} = \\left[\\frac{4}{9}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "Two points are selected independently and uniformly at random inside a regular hexagon. Compute the probability that a line passing through both of the points intersects a pair of opposite edges of the hexagon.", "solution": "![md5:8a81ca7569630248d95c5ec1aceea0a0](8a81ca7569630248d95c5ec1aceea0a0.jpeg)\n \n\nFirst, we compute the probability that the line through two random points in a triangle \\(A B C\\) passes through segments \\(\\overline{{A B}}\\) and \\(\\overline{{A C}}\\) . We can take an affine transform of the two random points and the triangle such that \\(A B C\\) becomes equilateral. Since the distribution of the two points is still uniform and independent, the probability of the line intersecting any two given sides is \\(\\frac{1}{3}\\) by symmetry. \n\nNext, we compute the probability that the line through two random points in a rectangle \\(A B C D\\) passes through opposite edges \\(\\overline{{A B}}\\) and \\(\\overline{{C D}}\\) .\n\n\n![md5:dfc8a60ea45461cffaf3d402c804534e](dfc8a60ea45461cffaf3d402c804534e.jpeg)\n \n\nIf the line passes through \\(\\overline{{A B}}\\) and \\(\\overline{{B C}}\\) , the points must both lie in triangle \\(A B C\\) , whose area is half that of \\(A B C D\\) . Given this, the probability the line passes through those two sides is \\(\\frac{1}{3}\\) , as computed before. Thus the probability the line passes through \\(\\overline{{A B}}\\) and \\(\\overline{{B C}}\\) is \\(\\left(\\frac{1}{2}\\right)^{2}\\cdot \\frac{1}{3} = \\frac{1}{12}\\) . The same goes for the other pairs of adjacent edges. By symmetry, the line is equally likely to pass through either pair of opposite edges, each with probability \\(\\frac{1}{2}\\left(1 - 4\\cdot \\frac{1}{12}\\right) = \\frac{1}{3}\\) . \n\n![md5:58ef8107152d81b6f3825726280a35e3](58ef8107152d81b6f3825726280a35e3.jpeg)\n \n\nWe now return to the original problem. If the line passes through a pair of opposite edges, then both points must be in the rectangle formed by these edges, which has area \\(\\frac{2}{3}\\) that of the hexagon. Given this, the probability the line passes through those two edges is \\(\\frac{1}{3}\\) as computed before. Thus, the probability that the line passes through the given pair of opposite edges is \\(\\left(\\frac{2}{3}\\right)^{2}\\cdot \\frac{1}{3} = \\frac{4}{27}\\) . Hence, the probability the line passes through any of the three pairs of opposite edges is \\(3\\cdot \\frac{4}{27} = \\left[\\frac{4}{9}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "The circumference of a circle is divided into 45 arcs, each of length 1. Initially, there are 15 snakes, each of length 1, occupying every third arc. Every second, each snake independently moves either one arc left or one arc right, each with probability \\(\\frac{1}{2}\\) . If two snakes ever touch, they merge to form a single snake occupying the arcs of both of the previous snakes, and the merged snake moves as one snake. Compute the expected number of seconds until there is only one snake left.", "solution": "Answer: \\(\\frac{448}{3}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nProposed by: Srinivas Arun \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Combinatorics", "exam": "HMMT", "problem": "The circumference of a circle is divided into 45 arcs, each of length 1. Initially, there are 15 snakes, each of length 1, occupying every third arc. Every second, each snake independently moves either one arc left or one arc right, each with probability \\(\\frac{1}{2}\\) . If two snakes ever touch, they merge to form a single snake occupying the arcs of both of the previous snakes, and the merged snake moves as one snake. Compute the expected number of seconds until there is only one snake left.", "solution": "We solve the problem generally for \\(n\\) snakes and \\(3n\\) arcs. Without loss of generality, fix the two snakes \\(A\\) and \\(B\\) that will eventually form the ends of the last snake. Note that \\(A\\) and \\(B\\) must be consecutive in the initial configuration; assume \\(B\\) lies immediately clockwise from \\(A\\) . \n\nLet \\(d\\) be the arclength between \\(A\\) and \\(B\\) (measuring clockwise from \\(A\\) to \\(B\\) ). As long as \\(d \\neq 0\\) and \\(d \\neq 2n\\) , we know that \\(A\\) and \\(B\\) lie in different snakes and thus move independently. Therefore, we can consider \\(d\\) to be on a random walk starting at 2, where", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-comb-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nSolution: "}} diff --git a/HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl b/HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl index 8700152df31aaf298f3df7f117fe56e42e204f6c..3679bd22da7a2ee084416b93d7fdc2816a2ef5af 100644 --- a/HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl +++ b/HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl @@ -1,24 +1,24 @@ {"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": "Geometry", "exam": "HMMT", "problem": "Equilateral triangles \\(\\triangle ABC\\) and \\(\\triangle DEF\\) are drawn such that points \\(B\\) , \\(E\\) , \\(F\\) , and \\(C\\) lie on a line in this order, and point \\(D\\) lies inside triangle \\(\\triangle ABC\\) . If \\(BE = 14\\) , \\(EF = 15\\) , and \\(FC = 16\\) , compute \\(AD\\) .", "solution": "Answer: 26", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n1. ", "solution_match": "\nProposed by: Jackson Dryg, Karthik Venkata Vedula \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": "Geometry", "exam": "HMMT", "problem": "Equilateral triangles \\(\\triangle ABC\\) and \\(\\triangle DEF\\) are drawn such that points \\(B\\) , \\(E\\) , \\(F\\) , and \\(C\\) lie on a line in this order, and point \\(D\\) lies inside triangle \\(\\triangle ABC\\) . If \\(BE = 14\\) , \\(EF = 15\\) , and \\(FC = 16\\) , compute \\(AD\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nExtend \\(DE\\) to meet \\(AC\\) at \\(X\\) . Observe that \\(ABEX\\) and \\(DFCX\\) are isosceles trapezoids (both with base angles of \\(60^{\\circ}\\) ), so we have \n\n\\(AX = BE = 14\\) \\(DX = FC = 16\\) , and \\(\\angle AXD = 120^{\\circ}\\) \n\nBy Law of Cosines on \\(\\triangle ADX\\) , the answer is \n\n\\[{A D=\\sqrt{A X^{2}+D X^{2}-2\\cos(120^{\\circ})A X}\\cdot D X}\\] \\[{=\\sqrt{14^{2}+16^{2}+14\\cdot16}=\\boxed{26}.}\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n1. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": "Geometry", "exam": "HMMT", "problem": "Equilateral triangles \\(\\triangle ABC\\) and \\(\\triangle DEF\\) are drawn such that points \\(B\\) , \\(E\\) , \\(F\\) , and \\(C\\) lie on a line in this order, and point \\(D\\) lies inside triangle \\(\\triangle ABC\\) . If \\(BE = 14\\) , \\(EF = 15\\) , and \\(FC = 16\\) , compute \\(AD\\) .", "solution": "![md5:a6173614c1296050c66bb92f443fe679](a6173614c1296050c66bb92f443fe679.jpeg)\n \n\nExtend \\(DE\\) to meet \\(AC\\) at \\(X\\) . Observe that \\(ABEX\\) and \\(DFCX\\) are isosceles trapezoids (both with base angles of \\(60^{\\circ}\\) ), so we have \n\n\\(AX = BE = 14\\) \\(DX = FC = 16\\) , and \\(\\angle AXD = 120^{\\circ}\\) \n\nBy Law of Cosines on \\(\\triangle ADX\\) , the answer is \n\n\\[{A D=\\sqrt{A X^{2}+D X^{2}-2\\cos(120^{\\circ})A X}\\cdot D X}\\] \\[{=\\sqrt{14^{2}+16^{2}+14\\cdot16}=\\boxed{26}.}\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n1. ", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": "Geometry", "exam": "HMMT", "problem": "In a two-dimensional cave with a parallel floor and ceiling, two stalactites of lengths 16 and 36 hang perpendicularly from the ceiling, while two stalagmites of heights 25 and 49 grow perpendicularly from the ground. If the tips of these four structures form the vertices of a square in some order, compute the height of the cave.", "solution": "Answer: 63", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n2. ", "solution_match": "\nProposed by: Albert Wang \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": "Geometry", "exam": "HMMT", "problem": "In a two-dimensional cave with a parallel floor and ceiling, two stalactites of lengths 16 and 36 hang perpendicularly from the ceiling, while two stalagmites of heights 25 and 49 grow perpendicularly from the ground. If the tips of these four structures form the vertices of a square in some order, compute the height of the cave.", "solution": "Note that the difference in heights between the two stalactites does not equal the difference in heights between the stalagmites. This tells us that the two stalactites form a pair of opposite vertices of the square, and likewise for the stalagmites. As the midpoint of the pairs of structures must then coincide, we know that it is \\(\\frac{16 + 36}{2} = 26\\) from the ceiling due to the stalactites, and \\(\\frac{25 + 49}{2} = 37\\) from the ground due to the stalagmites. Therefore the height of the cave is just the sum of these two values, i.e. 63.\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n2. ", "solution_match": "\nSolution: "}} +{"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": "Geometry", "exam": "HMMT", "problem": "In a two-dimensional cave with a parallel floor and ceiling, two stalactites of lengths 16 and 36 hang perpendicularly from the ceiling, while two stalagmites of heights 25 and 49 grow perpendicularly from the ground. If the tips of these four structures form the vertices of a square in some order, compute the height of the cave.", "solution": "Note that the difference in heights between the two stalactites does not equal the difference in heights between the stalagmites. This tells us that the two stalactites form a pair of opposite vertices of the square, and likewise for the stalagmites. As the midpoint of the pairs of structures must then coincide, we know that it is \\(\\frac{16 + 36}{2} = 26\\) from the ceiling due to the stalactites, and \\(\\frac{25 + 49}{2} = 37\\) from the ground due to the stalagmites. Therefore the height of the cave is just the sum of these two values, i.e. 63.\n\n\n![md5:fd62624cfb0627a2adc3480c4bc66874](fd62624cfb0627a2adc3480c4bc66874.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n2. ", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) lies inside square \\(ABCD\\) such that the areas of \\(\\triangle PAB\\) , \\(\\triangle PBC\\) , \\(\\triangle PCD\\) , and \\(\\triangle PDA\\) are 1, 2, 3, and 4, in some order. Compute \\(PA \\cdot PB \\cdot PC \\cdot PD\\) .", "solution": "Answer: \\(\\boxed{8\\sqrt{10}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n3. ", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) lies inside square \\(ABCD\\) such that the areas of \\(\\triangle PAB\\) , \\(\\triangle PBC\\) , \\(\\triangle PCD\\) , and \\(\\triangle PDA\\) are 1, 2, 3, and 4, in some order. Compute \\(PA \\cdot PB \\cdot PC \\cdot PD\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(h_{1}\\) , \\(h_{2}\\) , \\(h_{3}\\) , and \\(h_{4}\\) be the lengths of the altitudes from \\(P\\) to sides \\(AB\\) , \\(BC\\) , \\(CD\\) , and \\(DA\\) , respectively. Then, the problem statement implies that \\(\\{h_{1}, h_{2}, h_{3}, h_{4}\\} = \\{x, 2x, 3x, 4x\\}\\) for some \\(x\\) . Furthermore, the area of the square is \\(1 + 2 + 3 + 4 = 10\\) , so we have \n\n\\[h_{1} + h_{3} = \\sqrt{10} = h_{2} + h_{4}.\\] \n\nHence either \\((\\{h_{1}, h_{3}\\} = \\{x, 4x\\}\\) and \\(\\{h_{2}, h_{4}\\} = \\{2x, 3x\\}\\) , or \\((\\{h_{2}, h_{4}\\} = \\{x, 4x\\}\\) and \\(\\{h_{1}, h_{3}\\} = \\{2x, 3x\\}\\) . In any case, we get \\(5x = \\sqrt{10}\\) from above, and finish via the Pythagorean theorem: \n\n\\[P A\\cdot P B\\cdot P C\\cdot P D = \\sqrt{x^{2} + (2x)^{2}}\\cdot \\sqrt{(2x)^{2} + (4x)^{2}}\\cdot \\sqrt{(4x)^{2} + (3x)^{2}}\\cdot \\sqrt{(3x)^{2} + x^{2}}\\] \\[\\qquad = 50\\sqrt{10}x^{4}\\] \\[\\qquad = (50\\sqrt{10})\\cdot \\left(\\frac{2}{5}\\right)^{2}\\] \\[\\qquad = \\boxed{8\\sqrt{10}}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n3. ", "solution_match": "\nSolution: \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Geometry", "exam": "HMMT", "problem": "A semicircle is inscribed in another semicircle if the smaller semicircle's diameter is a chord of the larger semicircle, and the smaller semicircle's arc is tangent to the diameter of the larger semicircle. \n\nSemicircle \\(S_{1}\\) is inscribed in a semicircle \\(S_{2}\\) , which is inscribed in another semicircle \\(S_{3}\\) . The radii of \\(S_{1}\\) and \\(S_{3}\\) are 1 and 10, respectively, and the diameters of \\(S_{1}\\) and \\(S_{3}\\) are parallel. The endpoints of the diameter of \\(S_{3}\\) are \\(A\\) and \\(B\\) , and \\(S_{2}\\) 's arc is tangent to \\(AB\\) at \\(C\\) . Compute \\(AC \\cdot CB\\) . \n\n![](data:image/jpeg;base64,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)", "solution": "Answer: 20", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Geometry", "exam": "HMMT", "problem": "A semicircle is inscribed in another semicircle if the smaller semicircle's diameter is a chord of the larger semicircle, and the smaller semicircle's arc is tangent to the diameter of the larger semicircle. \n\nSemicircle \\(S_{1}\\) is inscribed in a semicircle \\(S_{2}\\) , which is inscribed in another semicircle \\(S_{3}\\) . The radii of \\(S_{1}\\) and \\(S_{3}\\) are 1 and 10, respectively, and the diameters of \\(S_{1}\\) and \\(S_{3}\\) are parallel. The endpoints of the diameter of \\(S_{3}\\) are \\(A\\) and \\(B\\) , and \\(S_{2}\\) 's arc is tangent to \\(AB\\) at \\(C\\) . Compute \\(AC \\cdot CB\\) . \n\n![](data:image/jpeg;base64,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)", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(P\\) , \\(Q\\) , and \\(R\\) be the midpoints of the diameters (i.e., the center of the circular arcs) of \\(S_{3}\\) , \\(S_{2}\\) , and \\(S_{1}\\) , respectively. Observe that if one fixes \\(S_{3}\\) , the location of \\(S_{2}\\) is uniquely determined by the angle between the diameters of \\(S_{2}\\) and \\(S_{3}\\) . The same holds for \\(S_{2}\\) and \\(S_{1}\\) . Thus, the figures \\(S_{3} \\cup S_{2}\\) and \\(S_{2} \\cup S_{1}\\) are similar. This gives us that the radius of \\(S_{2}\\) is \\(\\sqrt{10}\\) . \n\nTo compute the answer, we define \\(V\\) to be either intersection of the arcs of \\(S_{2}\\) and \\(S_{3}\\) . By the Pythagorean theorem, \\(PQ = \\sqrt{PV^{2} - VQ^{2}} = \\sqrt{100 - 10} = \\sqrt{90}\\) . By the Pythagorean theorem again, \\(PC = \\sqrt{PQ^{2} - QC^{2}} = \\sqrt{90 - 10} = \\sqrt{80}\\) . Thus \\(AC \\cdot CB = (10 + PC)(10 - PC) = 100 - PC^{2} = \\left[20\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) lies inside square \\(ABCD\\) such that the areas of \\(\\triangle PAB\\) , \\(\\triangle PBC\\) , \\(\\triangle PCD\\) , and \\(\\triangle PDA\\) are 1, 2, 3, and 4, in some order. Compute \\(PA \\cdot PB \\cdot PC \\cdot PD\\) .", "solution": "![md5:f473be8f087c94b0509ca94aee145a54](f473be8f087c94b0509ca94aee145a54.jpeg)\n \n\nLet \\(h_{1}\\) , \\(h_{2}\\) , \\(h_{3}\\) , and \\(h_{4}\\) be the lengths of the altitudes from \\(P\\) to sides \\(AB\\) , \\(BC\\) , \\(CD\\) , and \\(DA\\) , respectively. Then, the problem statement implies that \\(\\{h_{1}, h_{2}, h_{3}, h_{4}\\} = \\{x, 2x, 3x, 4x\\}\\) for some \\(x\\) . Furthermore, the area of the square is \\(1 + 2 + 3 + 4 = 10\\) , so we have \n\n\\[h_{1} + h_{3} = \\sqrt{10} = h_{2} + h_{4}.\\] \n\nHence either \\((\\{h_{1}, h_{3}\\} = \\{x, 4x\\}\\) and \\(\\{h_{2}, h_{4}\\} = \\{2x, 3x\\}\\) , or \\((\\{h_{2}, h_{4}\\} = \\{x, 4x\\}\\) and \\(\\{h_{1}, h_{3}\\} = \\{2x, 3x\\}\\) . In any case, we get \\(5x = \\sqrt{10}\\) from above, and finish via the Pythagorean theorem: \n\n\\[P A\\cdot P B\\cdot P C\\cdot P D = \\sqrt{x^{2} + (2x)^{2}}\\cdot \\sqrt{(2x)^{2} + (4x)^{2}}\\cdot \\sqrt{(4x)^{2} + (3x)^{2}}\\cdot \\sqrt{(3x)^{2} + x^{2}}\\] \\[\\qquad = 50\\sqrt{10}x^{4}\\] \\[\\qquad = (50\\sqrt{10})\\cdot \\left(\\frac{2}{5}\\right)^{2}\\] \\[\\qquad = \\boxed{8\\sqrt{10}}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n3. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Geometry", "exam": "HMMT", "problem": "A semicircle is inscribed in another semicircle if the smaller semicircle's diameter is a chord of the larger semicircle, and the smaller semicircle's arc is tangent to the diameter of the larger semicircle. \n\nSemicircle \\(S_{1}\\) is inscribed in a semicircle \\(S_{2}\\) , which is inscribed in another semicircle \\(S_{3}\\) . The radii of \\(S_{1}\\) and \\(S_{3}\\) are 1 and 10, respectively, and the diameters of \\(S_{1}\\) and \\(S_{3}\\) are parallel. The endpoints of the diameter of \\(S_{3}\\) are \\(A\\) and \\(B\\) , and \\(S_{2}\\) 's arc is tangent to \\(AB\\) at \\(C\\) . Compute \\(AC \\cdot CB\\) . \n\n![md5:6fc5d1b7698693176f0318294751a3ba](6fc5d1b7698693176f0318294751a3ba.jpeg)", "solution": "Answer: 20", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": "Geometry", "exam": "HMMT", "problem": "A semicircle is inscribed in another semicircle if the smaller semicircle's diameter is a chord of the larger semicircle, and the smaller semicircle's arc is tangent to the diameter of the larger semicircle. \n\nSemicircle \\(S_{1}\\) is inscribed in a semicircle \\(S_{2}\\) , which is inscribed in another semicircle \\(S_{3}\\) . The radii of \\(S_{1}\\) and \\(S_{3}\\) are 1 and 10, respectively, and the diameters of \\(S_{1}\\) and \\(S_{3}\\) are parallel. The endpoints of the diameter of \\(S_{3}\\) are \\(A\\) and \\(B\\) , and \\(S_{2}\\) 's arc is tangent to \\(AB\\) at \\(C\\) . Compute \\(AC \\cdot CB\\) . \n\n![md5:6fc5d1b7698693176f0318294751a3ba](6fc5d1b7698693176f0318294751a3ba.jpeg)", "solution": "![md5:663200b55e5c280cca76a457c7d2b8f7](663200b55e5c280cca76a457c7d2b8f7.jpeg)\n \n\nLet \\(P\\) , \\(Q\\) , and \\(R\\) be the midpoints of the diameters (i.e., the center of the circular arcs) of \\(S_{3}\\) , \\(S_{2}\\) , and \\(S_{1}\\) , respectively. Observe that if one fixes \\(S_{3}\\) , the location of \\(S_{2}\\) is uniquely determined by the angle between the diameters of \\(S_{2}\\) and \\(S_{3}\\) . The same holds for \\(S_{2}\\) and \\(S_{1}\\) . Thus, the figures \\(S_{3} \\cup S_{2}\\) and \\(S_{2} \\cup S_{1}\\) are similar. This gives us that the radius of \\(S_{2}\\) is \\(\\sqrt{10}\\) . \n\nTo compute the answer, we define \\(V\\) to be either intersection of the arcs of \\(S_{2}\\) and \\(S_{3}\\) . By the Pythagorean theorem, \\(PQ = \\sqrt{PV^{2} - VQ^{2}} = \\sqrt{100 - 10} = \\sqrt{90}\\) . By the Pythagorean theorem again, \\(PC = \\sqrt{PQ^{2} - QC^{2}} = \\sqrt{90 - 10} = \\sqrt{80}\\) . Thus \\(AC \\cdot CB = (10 + PC)(10 - PC) = 100 - PC^{2} = \\left[20\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n4. ", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle with side length 6. Let \\(P\\) be a point inside triangle \\(\\triangle ABC\\) such that \\(\\angle BPC = 120^{\\circ}\\) . The circle with diameter \\(\\overline{AP}\\) meets the circumcircle of \\(\\triangle ABC\\) again at \\(X \\neq A\\) . Given that \\(AX = 5\\) , compute \\(XP\\) .", "solution": "Answer: \\(\\sqrt{23} - 2\\sqrt{3}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n5. ", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle with side length 6. Let \\(P\\) be a point inside triangle \\(\\triangle ABC\\) such that \\(\\angle BPC = 120^{\\circ}\\) . The circle with diameter \\(\\overline{AP}\\) meets the circumcircle of \\(\\triangle ABC\\) again at \\(X \\neq A\\) . Given that \\(AX = 5\\) , compute \\(XP\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(A^{\\prime}\\) be the antipode of \\(A\\) . As \\(\\angle A X A^{\\prime} = 90^{\\circ}\\) , we have \\(X\\) , \\(P\\) , and \\(A^{\\prime}\\) are collinear. As \\(\\angle B P C = 120^{\\circ}\\) and \\(\\angle B A^{\\prime}C = 180^{\\circ} - \\angle B A C = 120^{\\circ}\\) , it follows that \\(P\\) lies on the circle with center \\(A^{\\prime}\\) passing through \\(B\\) and \\(C\\) , so \\(A^{\\prime}P = \\frac{B C}{\\sqrt{3}} = 2\\sqrt{3}\\) and \\(A A^{\\prime} = 2A^{\\prime}B = 4\\sqrt{3}\\) . By the Pythagorean theorem, \\(X A^{\\prime} = \\sqrt{(4\\sqrt{3})^{2} - 5^{2}} = \\sqrt{23}\\) , so the answer is \\(X A^{\\prime} - P A^{\\prime} = \\left[\\sqrt{23} - 2\\sqrt{3}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n5. ", "solution_match": "\nSolution:\n\n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle with side length 6. Let \\(P\\) be a point inside triangle \\(\\triangle ABC\\) such that \\(\\angle BPC = 120^{\\circ}\\) . The circle with diameter \\(\\overline{AP}\\) meets the circumcircle of \\(\\triangle ABC\\) again at \\(X \\neq A\\) . Given that \\(AX = 5\\) , compute \\(XP\\) .", "solution": "![md5:bd8399251a351972a45c43c96e817f24](bd8399251a351972a45c43c96e817f24.jpeg)\n \n\nLet \\(A^{\\prime}\\) be the antipode of \\(A\\) . As \\(\\angle A X A^{\\prime} = 90^{\\circ}\\) , we have \\(X\\) , \\(P\\) , and \\(A^{\\prime}\\) are collinear. As \\(\\angle B P C = 120^{\\circ}\\) and \\(\\angle B A^{\\prime}C = 180^{\\circ} - \\angle B A C = 120^{\\circ}\\) , it follows that \\(P\\) lies on the circle with center \\(A^{\\prime}\\) passing through \\(B\\) and \\(C\\) , so \\(A^{\\prime}P = \\frac{B C}{\\sqrt{3}} = 2\\sqrt{3}\\) and \\(A A^{\\prime} = 2A^{\\prime}B = 4\\sqrt{3}\\) . By the Pythagorean theorem, \\(X A^{\\prime} = \\sqrt{(4\\sqrt{3})^{2} - 5^{2}} = \\sqrt{23}\\) , so the answer is \\(X A^{\\prime} - P A^{\\prime} = \\left[\\sqrt{23} - 2\\sqrt{3}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n5. ", "solution_match": "\nSolution:\n\n\n"}} {"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": "Geometry", "exam": "HMMT", "problem": "Trapezoid \\(A B C D\\) , with \\(A B\\parallel C D\\) , has side lengths \\(A B = 11\\) , \\(B C = 8\\) , \\(C D = 19\\) , and \\(D A = 4\\) . Compute the area of the convex quadrilateral whose vertices are the circumcenters of \\(\\triangle A B C\\) , \\(\\triangle B C D\\) , \\(\\triangle C D A\\) , and \\(\\triangle D A B\\) .", "solution": "Answer: \\(\\boxed{9\\sqrt{15}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n6. ", "solution_match": "\nProposed by: Karthik Venkata Vedula, Pitchayut Saengrungkonkka \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": "Geometry", "exam": "HMMT", "problem": "Trapezoid \\(A B C D\\) , with \\(A B\\parallel C D\\) , has side lengths \\(A B = 11\\) , \\(B C = 8\\) , \\(C D = 19\\) , and \\(D A = 4\\) . Compute the area of the convex quadrilateral whose vertices are the circumcenters of \\(\\triangle A B C\\) , \\(\\triangle B C D\\) , \\(\\triangle C D A\\) , and \\(\\triangle D A B\\) .", "solution": "![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAEmAgcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKoalbTusd1Zn/SrfJRCcLIp+8h+uBg9iAatWtwt1bRzorqrrna67WHsR2NW4+6pItw91STJaKKKggKKKKACiiigAooooAKKKKACiiigAooooAKKKyrdmPizUVydosbUgZ4BMlx/gKTdrFwhzKT7K/wCKX6mrRRRTICiiigAorKlZv+EttF3Hb9hnOM8Z8yKtWkne5c4cqT7q/wCLCiiimQFFFFABRRRQAUUUUAFFFVdSuRZ6XdXTSiFYYmkaQru2hRknHfgUAWqK4A+IfENn8NrfxNeXdn9vltUnWzNqdsruMpEuG3bmyAOvJ6dq7u3kea2ikliMUjoGaMnJQkcjPtQBJRWYxe/1gINy2tkQXPTzJSOB7hQc/Uj0rTqpR5bFzhy2vuFFFFSQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc5pPij+1PF2raMtvsgs7eGaGYnmfc0isR/sgoAPXk9CKm1jVoJbxPD9nqNvDq10jHaXBeKMDLNtBBzggDkHnPRTXMWk6ab8ZYrW4vrAtPoQgWOBPKCskwKJtLtztckew6UAeiVBeXcVjbNcTbvKUjeyjO0E4yfYdT7V4142134kW3xdtNP0JJW03ETwwpGDDJGdokaVtpwN2QT2GMc16Q114tZSraZoZUjBBv5ef/INONr67ApRTXMdICCMg5FFcnYDxdYW32dLLRXiUnyla+lyi9lz5PIHb2wKs/bPF3/QN0P/AMD5f/jNOUbOy1CUoJ2Tujo6K5z7Z4u/6Buh/wDgfL/8Zo+2eLv+gbof/gfL/wDGaVmTzx7nR0Vzn2zxd/0DdD/8D5f/AIzR9s8Xf9A3Q/8AwPl/+M0WYc8e50dFc59s8Xf9A3Q//A+X/wCM0fbPF3/QN0P/AMD5f/jNFmHPHudHRXOfbPF3/QN0P/wPl/8AjNH2zxd/0DdD/wDA+X/4zRZhzx7nR0Vzn2zxd/0DdD/8D5f/AIzR9s8Xf9A3Q/8AwPl/+M0WYc8e50dFc59s8Xf9A3Q//A+X/wCM0fbPF3/QN0P/AMD5f/jNFmHPHudHTRFGJWlCKJGUKz45IGcAn0GT+Zrnvtni7/oG6H/4Hy//ABms6G88Vf8ACSXuLHSDL9kt9yG+l2Bd82CD5XU/NnjsOTniXo0aQtKMnfZX/FL9TtKK5z7Z4u/6Buh/+B8v/wAZo+2eLv8AoG6H/wCB8v8A8ZqrMz549zo6K5z7Z4u/6Buh/wDgfL/8Zo+2eLv+gbof/gfL/wDGaLMOePc6ExRmUSlF8xVKh8cgHGRn04H5U6uLkvPFX/CSW2bHSPN+yS4QX0uwrvjySfK69Mcdzz66P2zxd/0DdD/8D5f/AIzUrW5pO0VFt7q/4s6Oiuc+2eLv+gbof/gfL/8AGaPtni7/AKBuh/8AgfL/APGaqzM+ePc6Oiuc+2eLv+gbof8A4Hy//GaPtni7/oG6H/4Hy/8AxmizDnj3OjornPtni7/oG6H/AOB8v/xmj7Z4u/6Buh/+B8v/AMZosw549zo6K5z7Z4u/6Buh/wDgfL/8Zo+2eLv+gbof/gfL/wDGaLMOePc6OuR+I8lxL4RudLtLe8mn1Epak21tJLsjd1WRmKqcAIW61b+2eLv+gbof/gfL/wDGajmvPGQgkMWmaGZNp2A30p5xx/yyH86LMOePcyNd0+K9Gm23hfSZLPUYrqJhffYmtltoVYF8syrvDKCuwZznnpmu5luYoJIY5Hw8z7I1xkscE/yBrx/4Q6949vvFWq2Hi03IhW385Uu4REyvvA+QYGVxnOOBx68+rw2krapNe3G35R5VuoOdqcFj9Sf0Ue9OKTvzGsFF3cn/AF/X4F6iiipICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopCQoJJAA5JNAHNaaftnjDXr3qtuINPQ/7qmViPxmAP8Au+1b1YHg0GXw3FfsDv1GWW/OeuJXLoPwQqPwrfq0csndiMCUIDbSRwR2qlp15JMJLa6AW8gwJQOA4PR19j+hyO1XqjMMRnWcovmqpQPjnaSCR+gq01ZpoqMo8rjJf1/kSUU1HRwSjKwBIODnBHUU6pICiiigQUUUUAFFFFABRRRQAUUUUAFNEaCRpAiiRgFLY5IGcDPoMn8zTqyrcn/hK9QGTgWNqcf8DnqW7NGsIOUZO+yv+KX6mrRRRVGQUUUUANMaGUSFF8wAqGxyAcZGfTgflTqypSf+ErtBk4+wzHH/AAOKtWpTvc1qQcVF33V/xYUUUVRkFFFFABRRRQAUUUUAFFFFAHM+J2uI72xvdMt2n1LT99wyIcF7cjDx+5fA2j+8gPaunsry31CxgvbWVZbeeNZI3XoykZBqvBaR2808ylmknfc7MeeBgAew/wAfWsfR2/sLxBPojcWV4Xu9PPZWzmaL8Cd4HozDotFTl05TpUo6Rj/TOnooorMsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsLxlcSW/hHURA224uIxawn0klIiQ/99OK3a5zxIftWteHtNHIe6a8lHqkKEj/yI8VAm7K5rW1vHaWsNtCu2KJBGg9ABgVLRRWhyBRRRQBnNbS2epi4tkLQXLAXEY/hboJB/I/ge3OjRVWS9EOox2sqFVmXMUmeGYZyvsccj159KtuU/kbNyq9NUvwX+S/AtUUUVBiFFFFABRRRQAUUUUAFFFFABTRGgkaQIokYBS2OSBnAz7ZP5mnVlW5P/CWagMnAsbXj/gc9S3Zo1hDmjJ32V/xS/U1aKKKoyCiiigBpjQyCQovmAFQ2OQDjIz+A/KnVlSk/8JZaDJx9hm4/4HFWrUp3ua1Icqi77q/4sKKKKoyCiiigAooooAKKKKACs5ZpLzVysTsttZ8SFT/rJSPu+4UHJ9yPSrzyxxvGjuqvISEUnliBnj8AacqqgIVQASScDuaqL5b6bmkJciba3WgtZev6ZJqem4tnWK/t3FxZyt0SZfu5/wBk8qfVWIrUoqCE7FfRNVj1rSYL6NGiZwVlhb70Uina6N7qwI/CtCuX3f8ACP8AioSfd07WXCP6RXYGFPsJFG3/AHkXu1dRUM6ou6uFFFFAwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArmoT9s8e383VNPsorZT6PIxkkH/AHysNdLXMeEz9os7/Uz11C/nnB9UVvKjP4xxofxprczqO0TfoooqznCiiigAqve2cd9atBLkA4KupwyMOQwPYg81YoppuLuioycWpR3QighAGbcQOT60tU9QjuWhWWzc+fC28Rk4WUd1P1HQ9jipbO7ivrVLiEna3ZhgqRwQR2IOQabi+XmKcHyc6/4YnoooqTMKKKKACiiigAooooAKaI0EjSBFDsApbHJAzgZ/E/madWVbk/8ACWagM8fYbX/0O4qW7NGsIc0ZO+yv+KX6mrRRRVGQUUUUANKIZBIUXeAVDY5AOMjP4D8qdWVKT/wlloM8fYZv/Q4q1alO9zWpDlUXfdX/ABYUUUVRkFFFFABRRRQAUUVWe8VdQjs1QvIyGRyOka9AT9TwPofSmot7FRi5bEFtbSy6nPfXKbdmYbZCc7U/ib6sR+QHvWhRRTlJyY5zc3dhRRRUkFPVdNg1fS7iwuNwjmXG5DhkYcqynswIBB9QKi8N6pPqOnPDfbV1OykNteKowDIACHA/uupVx7NjtWjXO6w39hazb+IU4tXC2upDsIyf3cp/3GJBP912P8IqWjSnKzsdVRRRUnQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZfiPUW0nw1qV/GMywWzvEv958HaPxbA/Gk0fT10nRLDTkOVtbeOEH12qBn9Ko+LT9oGj6WOftuoxFx/sRZnOfY+UF/wCBVt1UTGq+gUUUVRiFFFFABRRRQAVFPNDZ27zysI4k+Z2xwPc4qWkZQylWAIIwQe9CtfUpWvrsKCCMg5FFUtOtZbFZLYsGtUI+zkn5lU/wH2HY+hA7c3ackk7J3HOKjKyd0FFFFIgKKKKACiiigApoRBIXCrvIALY5IGcD9T+Zp1ZVuf8AirNRHb7Da/8Aoy4qW7NGsIc0ZO+yv+KX6mrRRRVGQUUUUANKIZA5Vd4BAbHIB6j9B+VOrKlP/FWWg7fYZv8A0ZFWrUp3ua1Icqi77q/4sKKKKoyCiiigAooooAKq2lmLaS4lZzJNPIXZyMcdFUewHH5nvUUVzLdatIkLYtbYbZDj/WSHnaD6KOvuR6Gr9W1KGnc1kpU1y90v8/8AghRRRUGQUUUUAFRzwRXVvLbzxrJDKhR0YZDKRgg+2KkooAxfC1zLbC48P3kjPc6btEUjnJmtmz5b57kYKMfVCe4roq5nxHBNam21+yjZ7rTdxkjQcz27Y82P3OAGUf3kA7muhtriG8tYrm3kWWCZBJHIpyGUjII+oqGjphK6JaKKKRYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHNzn7Z8QI16ppunFz6b53wPxCwN/wB9e9blYPh0/ar7XdTPIuNQeGM/7EIEOP8AvtJD+Nb1Wtjmm7yCiiimQFFFFABRRRQAUUUUAFUrC9edpbe5VUu4DiRV6MD9119j+hBHartQvawvdRXJX99GpVWBxweoPqOAfwqouNmmaQcbNSX9f5E1FFFSZhRRRQAUUUUAFNCIJC4Vd5ABbHJAzgfqfzp1ZVv/AMjZqP8A142v/oy4qW7NGsIc0ZO+yv8Ail+pq0UUVRkFFFFADSiGQOVXeAQGxyB3H6CnVlS/8jZaf9eM/wD6MirVqU73NakOVRd91f8AFhRRRVGQUUUUAFIWAIBIBPQetLWbZxSXOoTahcIyBcw2yMMFUB+ZserEfkB71UY3Tb6GkIJptvYvxQxwJsiRUUsWwB3JyT+JJp9FFS3fVkNtu7CiiigQUUUUAFFFFABWBoLf2HrNx4efi1lDXemnsEJ/eRD/AHGYED+64A+6a36yfEOmzX9gktkVXUrOQXNm7HA8xQflJ/usCyH2Y0mi4SszeoqjpGqQazpNvqFuGVJlyUfho2BwyMOzKwIPuDV6oOkKKKKACiiigAooooAKKKKACiiq19fQ6fAJZRIxZtiJEhdnb0AH0PtSbtqxxi5O0VqWaz7/AFT7JKttBbTXd267liiGAB0yzH5VH1OfQGlsJdSnkea7gitoCP3cGd8g92YHaPoM/Wr9LdaGllTnaWvz/Vfp95Wsftv2fN+YPOZidsAO1B2GT94++B9BRVmiqWhnJ8zuFFFFAgooooAKKKKACqup30el6VeahN/qrWB5n/3VUk/yq1XO+ND52iw6aOupXcNoR6oXDSD/AL9rJQDJPDFlJp3hjTbaf/j4WBWnPrKw3OfxYmtaiirOQKKKKYgooooAKKKKACiiigAooooAzJ0lsNQ+2Qq729wwW4jUZKt0WQD8gfbB7HOnRVeW8ihvIbaQMrTA+WxHykj+HPrjnHsfSrbc7aao1blUsrapfgv8l+BYoooqDIKKKKACmhVDlgo3kAE45IGcfzNOrKt/+Rs1H/rxtf8A0ZcVLdmjWEOaMnfZX/FL9TVoooqjIKKKKAG7V3hio3gEA45x3/pTqypf+RstP+vGf/0ZFWrUp3ua1Icqi77q/wCLCiiiqMgooooAgN3GL5bMbjKYzIcDhVzgZ+pzj6H0qeqdhZtbGeaZxJcTyF5HHTHRVHsBj8cnvVyqmop2iaVFFO0QoooqTMKKKKACiiigAooooAKKKKAOfhb/AIR/xWYz8una05ZfSK7A5HsJFGf95D3auorJ1jS49Y0qexkdoy4BjlT70Uincjr7qwBH0pPDmqyarpebpFj1C2c295EvRJV64/2WBDD/AGWFQ0dFOV1Y16KKKRoFFFFABRRRQAVHNNHbwSTTMEjjUszHsBWZLqt1dzPb6RbeYUYq91cArChHXHeQ/Tj/AGhWsu4KAxBbHJAwCalSvsaSpuFuf7uv/AMu2vtQ1G4SS3tPs1gDkyXSkSSj/ZTgqPduf9nvWrRRTStuKpNSfuqyCiiimQFFFFABRVe8iupYQLO5S3lDZ3PF5ikehGR+hFV7NtXWfZex2Tw4P76B2Vs/7hB/9CpX1saKnePMmvQ0KKq3uoW2nRrJdOyIx27hGzAfUgHA9zS2eo2WoIXs7uC4UdTFIGx+VF1ewvZz5eezt36FmiiimQFc3qZ+2eNtIteqWVvNev7O2Io/zVpvyrpK5nSD9r8TeIdQ6qssVhGfVYk3H/x+WQfhTW5E3aJvUUUVZzBRRRQAUUUUAFFFFABRRRQAUUUUAFV72zjvrVoJMjOCrqcMjDkMD6g81YoppuLuioycWpR3RHAsqwRrM6vKFAd1XAY9zjtUlVr4XX2YvZkechDBGxiQDque2fXscU6zu4r61S4hJ2t2IwVI4II7EHgim4trmKcG4+06X/r/AIBPRRRUmYU0Ku8sAN5ABPfHOP606sq3/wCRt1H/AK8bX/0ZcVLdmjWEOaMnfZX/ABS/U1aKKKoyCiiigBu1d4YgbwCAe+O/9KdWVL/yNtp/14z/APoyKtWpTvc1qQ5VF33V/wAWFFFFUZBVKG7kudTmiiC/Zrddkj92lODgfQdfdh6GrtQ21tFaQCGFdqAk8nJJJyST3JJJqotJO+5pFxUXda9CaiiipMwooooAKKKKACiiigAooooAKKKKACud1Jv7B8QQa4vy2V3stNQHZTnEU34MdhPo4J4WuiqG7tYL6zmtLqJZbedGjkjboykYI/KkyouzuXqK5/wteTrFcaJfytJf6YVjMj9Z4TnypfqQCD/tI1dBUHUncKKqX+ow6fGhdJZZJDtjihQu7n0A/qcAdzTdPfUZfMlvooIEbHlwIS7r67m6E9OAOPU0uZXsaeylyc72/P0I73VTBcfZLS1lu7wgHy1+VEB6F3PCj8z6A1atBdC2X7a0JnOS3kghR6AZOTj14z6Cp6KEne4SnHlUUvn1/wCGCiiimZhRRRQAUUUUAFFFFABRRRQAVELa3FwbgQRCcjaZAg3Y9M9ccVLRQNNrYqX1rPdKn2e/ntHQ5zGqMG9iGU8fTFNso9SikZb25triPHytHCY2z7/MQfwxV2ilbW5ftHy8mlvRX+/cpajqcOlxrLcRXBhwS0kULSBAO7BQSB+Hauf8D3ltc+HYSs8TXkxe8uYgwLxvM7SEEexbH4Ve8ayMPCd5bRsVlvtlihHUGZxFkfQOT+FascaRRqiKFVQFUDsB2ppO5jVlT5LWd/X9LfqOoqne6f8AbWR1u7u2dAQGgl2/mpyp/EGlsba7tt63N+btTjYXiVWHrkrgHt2FVd3tYy5I8nNza9tf+G/It0VTvL6WzdcafdXEZGWkg2nb9VLAn8AadZahBfq5hEylCAyzQvGw/BgKOZXsHsp8nPbT+t+3zLVFFFUZBRRRQAUUUUAFFFFABRRRQAVFtgtUllxHEhJklfhR05Yn6Dr7VLSMoZSrAEEYIPehMpMUEEZByDRWfp1vPYvJZkFrRBut3zyq/wDPM9+Ox9OO3OhVTik7J3HUioysndBTQF3kgDfgZPfHOP606sq3/wCRt1H/AK8bX/0ZcVm3ZoqEOaMnfZX/ABS/U1aKKKoyCiiigBuF3gkDfg4PfHf+lOrKl/5G20/68Z//AEZFWrUp3ua1Icqi77q/4sKKKi+0xfa/su/M2zzCoB4XOMn8f5H0qkm9jNJvYo6cz3tzLqTFhEw8u2Q/88weXx6sRn6Ae9adFFVOXM7l1J88rpWQUUUVJmFFFFABRRRQAUUUUAFFFFABRRRQAUUVkf2nd6g+zSrceVnDXlypEf8AwBeC/wBeB7mpckjWnSlO9tl16f1+JV8ShtMltfEkA+ex+S5Qf8tbZyN49ypw491I/iNamn6he6pJFdQwJBprLuVpeZZgRwQAcIOhyck+gq71GDWB4cb+xtSuPDUnECKbnTSe8BPzRj/rmxA/3WT3qZJt3NaNSKi42u+//AOnooooKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5zXj9r8S+H9P6qkk1/IPVY02DP8AwOZD/wABrbrCsz9s8b6xc9UsoILFPZyDK/5h4vyrdq1sc9R3kFFFFMzCiiigCleaVa30omkM0cyrtEkM7xtj/gJGfxqSytJLSNke8uLkE5Uz7SVHoCAM/jk1ZoqeVXuaurNx5G7r+tuxQvLu/tp/3OmG6gx96KdRJnv8rYH/AI9U1ld/bIS/2e4gKttKTptOf5Ee4NWaKLO+4OcXG3LZ99f8/wDIQMpYqCCR1GelLVC70XTb6bz7iziafGPOUbZAP98YP61YtLRLOHykkmdc5BmlaRh7ZYk0K9wkqfLdN39P1v8AoT0Vn3MurQ3DNb2trc2/GFMxjkHr/CQfzFWrWaWeAPNbSWz5IMcjKSPxUkUKV3YJUnGKldW9V+W5NRUCXtpJcvbR3ULzxnDxLICy/UdRU9O9yHFx3QUUUUyQqpaXouJp7eSPyriBsMhOcqfusD3BH6gjtVuq81nHLdwXWWSaHIDL/Ep6qfUdD9QKqPLqpGkOSzUvl/XmWKQbd5xjfgZ9cc4/rS1lW/8AyNuo/wDXja/+jLis27NDhDmjJ9lf8Uv1NWiiiqMgooooAT5d4zjfg49cd/6UtZUv/I22n/XjP/6MirVqU73NakOVRd91f8WFUdNtJIElnudpu7ht8pByF7Ko9gOPzPenwXhub+4hjQGGDCtJnrJ1Kj6DGfc47GrdavmgnHuD5qacH1t/n/wfuCiiioMgooooAKKKKACiiigAooooAKKKp3+pRWPloY5p55c+XBCm5nx19gORySB70m0tWXCEpvlitS5Wbd6q6XLWdjavd3a43D7kcWRkb3IwPoMn2qexa+dHe+SCIscpFESxQf7Tdz9AMe/WrdLVrTQtctOb5lzfPT8N/k/mRWwuBboLpomnx85iUqufYEk1LRRTMm7u4Vj+ItPuLqzivNPA/tOwk+0WmTgOwBDRk+jqSp9Mg9hWxRQCdtRml6lb6vpdtqFqSYZ0DqGGGX1BHYg5BHYg1brl7Nv+Ef8AFL2R+XTtYdprf0iugMyJ/wADALj3WT1FdRUHUndXCiiigYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVj+K72XT/Cup3EBxceQyQe8rfKg/76ZaAKHhA+fo0mpHk6ldTXgPqjORH/5DCVv1X0+zi07TbWxhGIraFIUH+yoAH8qsVZyN3dwooopiCiiigAooooAKKKKACiiigAooooAq3mmWGoDF5ZW9xjoZYwxH0z0qS1tYbO3WCBSsS52qWJx371NRSsr3LdSbjyNu3boZs661HM720ljPETlYpUaNgPTeC2f++au27zPbo1xEsUpHzIr7wPxwM/lUtFJKzKlU5opNL1/rT8LlAa1pn2prVr6BLhWKmKR9jEj0Bxn6ir/Wo57eG5jMc8McsZ6rIoYH8DRDBFbQpDBEkUSDCoihVUegA6UK/UJ+zaXLdP7/APL+upRvZZdOuhfF2azYBLhCciL0kHoOze3PY50Rt3nGN2Bn1x2/rWZJaavHI7W2pxSoST5V3bg4HoGQrj8Qa8b074geNLb4v3tpqGkSzWxJgktLaAbvKTzDGyMxGerHJPzDOO1U5uVlbU2nCMoqzTaXS/43S21116ep7xRXKRfEXw55kcOoXFxpNxJyItUtntsf8CYbPyauktLy1v7dbizuYbiFvuyQuHU/Qjilc5pRlHdE9FFFMkT5d4zjdg49cd/6Up5HXHvWTNx4stCf+fGf/wBGRVkP4gubjXIrLTyr3V6hkgWTJjgtkODO4BBO5jhRkZ45HNEVzJvsdDoNQU76Wv8Ai1b8LnTWdpHY2qW8W4qvVmOSxJyWPuTkn61PXNavqd54cudJknuzd2t7ex2UqyIqtG8mQjIVA43YBBzwc5456Whtt3ZjJuT5nuwooooJCiiigAooooAKKKRmCqWYgADJJ7UDFqC7u4bG3ae4YrGuBwpYkngAAck+wqhFqd3qMqf2bbBbTcC11cqVDjvsTgn6nA7jNa1SndaGsqbpySqfdfX9bP8Aqxn2dzqF3P5slqtrZ4O1JeZnPYkA4Qe3J+laFFFNKxE5KTulYKKKKZAUUUUAFFFFAGfrelrrGlS2nmGGbIkgnUcwyqdyOPowB9+nepPD2rNrGkpPNGIbyJjBdwg58qZeGX6dwe4IPerlc7et/wAI/wCJYdVHy2GpFLW99El6Qy/jnyz9U7LUtGtOVnY6qiiipNwooooAKKKKACiiigAooooAKKKKACiiigArnfFB+03mhaYORcX6zyD/AGIVMoP/AH8WIfjXRVzZP2zx/K3VNN09Ywf9ud9zD6hYU/76pombtFm5RRRVnKFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQByWk3beLtX1OeR3Gj6fctZQwA4FxKn+skfH3lBO1V6cEkHjDYbj+zPiZFo1llbO60t7qa2X7kTpIqq6jou4FgQOCQD1zVjRtI1Hw0dRtbOCG7s7m7ku7ctN5bRmQ7mR/lPyhs4YZODjHGTDL4d1K20zxBqcFws3ibULVkilX5Uh2qfKjjz0UE5yepJJ9Aijel1vTIHlSW/gTyTiUlxtjPox6KfY4rn57eLUPGurRsx2vpVgyOvBU+bdEMPcdavWaadL4fg0a306d7WSEW8tvNC8e1CMPvJHXBJ9WP1zUS/8AJQNW/wCwVY/+jburptqSaNKUnGacd0aECSvZrHeiN5Cu2TaMq3bofX0rGn8D+G5rhbhNKitLheRNYs1rJn13RFSa2ro3C2ztaqjTLyqv0bnke2Rxmse71tr5EsdHbN/OuWYjItF6F3HYgggL3I9ASNpq652jeSbi59L/ANf8AydI03X1uL7+y/Fl99jgufKiGoxJdiQqBv8AmO18Bsr97+E1ujU/FFmP9I0vT9RQdXs7gwufpHICP/IlX7Gyh06xhs7cERRKFXJyT7k9yTyT6mp2JVGYKWIGcDqazVNWM2ubc8xuPjdHD49i8PXPh24trcyrbTSXEg82NmxztXcCoz2Y5HPtXWpbNo3xGv8AVLqJ/sF/YQQwXCIWSFoy25GwPlBDAgng4I61n2Gj2/8Aws+yvry0gbUJdLuJ3coCUYSQqoB/2VJXPufWu/dFkRkYZVgQeccVEo8snG97CrRjCXIjk76xn8V+ItLlaGWHRdKn+1hpUKNdXABCbVOCEXJO49TjGRzTbkXF94w1WSGMTW9hZxQmN714U85t0jHgEZCeXz2ya2l0MwMDZ6nqFuAfuGbzlPtiQMQPoRTptB0nbcSJounyTSEuwaBB5j46scHngDPNQm+qJnGCa5JX/D7+n4lfwdK1x4S064a6nufPj85ZLgEPtcllU5JJ2ghQSTkAHJrcrKTV5Y3SO60m+gyQoZEEyf8AjhJA+oFatCaexNSnKD97r8/xQUUUVRmFFUb/AFSOykSBIZbm7kGUghXJI9STwo9yRUtib1oC18sCSs2QkJJCL6Fj949ecD6d6nmV7GrpSUOd6L8/677FS41WV7h7TTbVrm4Q7XkfKQxH/abHJ9lBPritGESiFBMyNLtG9kUqpPfAJOB+NPooSe7YTnFpRjG35v8Ar+rhRRRVGQUUUUAFFFFABRRRQAUUUUAFV7+xt9S0+4sbuMSW9xGY5FPcEYNWKKBmT4Xv7iW1n0vUJC+paa4hmc9ZkxmOX/ga9f8AaDDtW9XLeIQ2kXlv4mhUkWimK/VRkvak5Le5jPzj23j+KuoR1kRXRgysMhgcgioaOmEuZC0UUUigooooAKKKKACiiigAooooAKKKKACuZ8Mn7SdX1M8/bdRlKn/YixAuPYiLd/wKtfW9RXSNC1DUmGRa28k2PXapOPxxVXQNPbSfD2nWDnMlvbpG7f3nCjcfxOT+NOJlVeljRoooqzAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4y9uru2+IGpC106S8LaVZZKyIgTEt1jO4g8+wPSuzrmV/wCSg6t/2CrH/wBG3dOO5cNxhi1/UPlmmt9LgPUW586Yj/eYBV/75b61e07S7TSonS1RxvO6RnkZ2dv7xJJJJ9auUhAIIIyD1BrZKxurrqLVeG7We5uIkUlYSFaTsWPJUfQY/OqtpFPZSSWC7vI2FraUruEY/uN9M8eo47VbtLVLO1SBCSF6serE8lj7k5NayjGKfXsbShCCet+3+f6W/wAjOH/JQbH1/sq5/wDRsFdPXJj/AJKZY/8AYHuf/R0FdZXJLdnJVVmFFFFIyCmTQxXELwzRpJE42sjqCGHoQetEsqQRPLK4SNFLMzHAAHUms6DULzUJ0a0tfKsgctPcqVaQf7CdfxbH0NS2loa06c5LmWiXX+uv4le507TNIVLlJLu1AcBYreWRlkPZRFyDnHYVZhn1a5WWYWsFsm39zDOxLsc9XK5CjGeBuPuOladFLkttoaPEOS99cz7vX+vx8rGbBfakJkiu9JZQxwZbedZEX3O7a2Popq9NPFbxGWeVIoxjLuwUDPA5NSU10SVCkiq6HgqwyDTSaW5nKcZST5bLyv8Aq2KrK6hlYMp5BByDS1nw6HpltcrcW1olvIDn9wTGGPuFIB/EGrV0ty1uRaSxRzcYaWMuv5Aj+dCbtqEow5koPTzVvyuTUVn202rCdY7yztjGes0E54+qMox+BNWbu9trCDz7udIYsgF3OAPqe1CkrXCVKSkorVvtr+RPRUNvd215H5ltcRTx/wB6Jww/MVNT3M2nF2YUUUUxBRRRQAUUUUAFFFFACMqupVgGUjBBGQRWF4ZkOlXdx4YmY7bVfO09mP37UnAX6xn5P93Ye9b1YniSyuJLeDU9OTfqWmuZ4EHHnLjEkX/A1yB6MFPak0XCVmdHRVbT7+31TTre/tJN9vcRiSNunBHcdj7VZqDpCiiigAooooAKKKKACiiigAooooA53xefPstP0wddQ1CGIj1RD5zj8UiYfjW1WJen7Z47sYeqafYyXDj0eVgiH/vlJvzrbqkYVXqFFFFUZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXMr/yUHVv+wVY/+jbuumrmV/5KDq3/AGCrH/0bd047mlPc16OlFMkVJUeJwGVlwy+xrc3RV0+eW8826LYtnIFuuOqj+P8A4F/ID1NSwXcc1xPBhklhI3K3cHow9QefyNTqoVQqgAAYAHaq1xZ+dcwXMb+XNEcbgM7kP3lPsf0IBrS8ZN30NeaE5O6sunl/XX7yiMf8LBsR3/sq5/8ARsFdPXJj/kplj/2B7n/0dBW5e6ottOLWC3lurxl3CGMcKPVmPCj68+gNcc5JN3OZ0pTnaJoVkzatPcTPbaTbefIjFJJ5crDGR1Gerkei/iRV+0+1/Zwb3yRMSSVhztUdhk9frgfQVPUu7WmgouNOT5lzfl/wRqBgihyC+PmKjAJ9hTqKKZkFFFFMQUUUUAFFFFABRRRQBVXTLBLwXiWVutyMgTLEA/PXnrTryG4mhC210baQNncEDg+xB7fTBqxRU2Wxp7SV1Ju9u+v5lC0GrJPsvHspocH97ErRtnt8pLD/AMeqa8vobCNZJxLsJxmOF5Me52g4Huas0UWstBualK8l92n9fcVLPVLDUCRZ3sE7L95Y5AWX6jqPxq3TPKj83zfLTzMbd+3nHpmoL20ku1Ty724tXQ5DwFefqGBB/KjVLUGoSlaOi89fyX6FqiqVnBqEMjC6vYrmLHy/uNjg+5DYP4AU69vvsOwm1upkbO5oI9+z6gc/kD0ovpdh7NufJB39P+DYt0VTstUs9QZkt5SZEGWjdGR1HurAEflVymmnqiZwlB8slZhRRRTIOf0xv7A8Sy6U3y2Gps9zZekc33povx/1g/7aeldRWJr2lHV9LeCKUQ3cbLNaz4z5UynKN9M8EdwSO9WdB1Ya1pEV2YzDOCY7iAnJhlU7XQ/Qg89xg96ho6KcrqxpUUUUjQKKKKACiiigAooooAKKKhurmKzs57qZtsUMbSOfRQMn+VAGBoZ+161r+pHkPdi1iP8AsQoFI/7+GWt2sbwnby23hXT/AD123E0f2mcekspMj/8AjzmtmrRyyd2FFFFMkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiq99fW2m2M17eTLDbQqXkkfoooGWKKw7nXrm10uTVZdJnSwiQyuGcCcRjkt5eOw5xu3Y7Z4rYgniureK4gkWSGVA6OpyGUjII/CkBJXMr/yUHVv+wVY/+jbuumrmV/5KDq3/AGCrH/0bd1Udy6e5qTSCGGSUqzBFLbUGScdgO5qppttJFE9xcgfarhvMlHXb6KPYDj65PerENzHPLNHHk+SwRmxxuxnA+mRUeoalZaTZSXmoXMVtbxj5pJGwPp7n2HJrpbcU4nXeUYuFt/6/4P3FqszWNf0/RFjF1I73ExIgtYEMk0x9EQcn69B3IqhDda/4jcf2dbto+lnre3kf+kSj1ihP3P8Aek9fumt7SdA0/RvMe2iZ7mX/AF11Mxkml/3nPOPQdB2ArFz7GMpKLszxm50T4gP8VLTxNcCew0zzkdg12jCC1DKGRkVu4wWAyMnOeM16hqGpTat4vTw1ZzSQ29vbC81CeJtrlWOI4lYcruwWJHOBgEZ4051DeKrUMAVNhOCCOD88VZ0mkyaR4vfWbFYHjv7aO1mtWcRtuj3FGj4wflLAqccAEHjFZJ3uuo6kVyxa3av/AF9xT8UGLw5d+HbnTEFvNc6tDZSRx8CeOTIbcP4iANwY8jb15Oetu7y2sLZrm7njggTAaSRsAZOBz7kgfjWKmh3GoeIbfWtXMWbJWFjaRMWSJmGGkZiBucjgcYUZ65zWX4vgu/EXh7WY7a3l8mG3lihSWCVZHm2cOi7csBkAEcZ3exoOfc7Siq2nXLXum21y8UkTyxqzRyIUZCRyCDyOas0xBRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqd7p0d8yM091DImdrQTsnX1AOD+INXKKTSejLhOUHzRdmVLK1uLXes1/LdocbfORAy/ioGfypt7e3No6+Xp091ER8zQMmVP+6xGfwq7RStpZFe0vPmkk/wAPysVLLUI74PsiuYmTAZZ4GjIz6ZGD+GayJm/4R/xTHej5dO1d1gufSO5AxHJ/wMARn3EfvXRVzPiq30u9AsZbFr3UriMrFFC+xwoP3mb+FAecnIz0BPFJ3SHGVPnu7pff/kddRXKeBL66m0670/VLmWTV9Om8i8SSTeM4ykiHAbY6kMM98jtW5eXGpQTA22nx3UGOdtxskz7KRtP/AH0Km+l2dShzStB/p+ZfoqtZXb3cTO9pcWrK20xzhc/UbSQR9DUwljaRow6l15ZQeR9RQncmUWm0x9FFFMkKKKKACue8akyeGpbBfvajLFY49VlcK/5IXP4V0NcVqXiHSNT+IGj6BDqVtJdWRnu5oVkGRIqbFT3bEjtjqNmTQKTsrnWgYGB0ooorQ5AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuN8ch5tW8JW0xI02XVlNz6M6ozRK3sXA49QK7Kobq1t722e3uoI54HGGjlUMrfUGkNOxg+ONQktvDVzY2aedqmpRtaWUC/ed3GC3sqg7iegAqGQXnhzSvC2g6fPGZmaKxLyRlsxxwsXbGRjiP8yK37XS7GylaW3tY0lZdrSYy5X03HnHtVS+0Nb7WLXU/7Qu4ZbWOSOJIxGUG/bubDITn5QOvr60DuR2upXaeJpdGumimH2QXSSxoUKjeVKsMnr1BGOh44zWZPIV8ca55UsSSro9mQ0h+VT5l3yfYZFX1e30u8uI7OGfUdVm2meRiBgAfLvfAVFAJwoHckKck15H4a+GOpah8UrjXdVubW504ub11fLm4WRpAgwVwVymee23jnhxlZ3XQ6YUKkY+1a0X9bdn+J39lq91fwLY+ErRbuJCRJq13lbbdk7mXHzTMTn7vy5P3hW9p3hi2trpNQv5pNS1Jfu3NwBiL2iQfLGPpye5NbiqFUKoAAGAB2pacpSk7yZjUquo7sKKKKRkN3oJAhZd5BIXPJA6n9RUN7Zx31q0EhIzgq68MjDkMD6g81SlB/4Sy0OOPsM3/ocVatKE2nddDZp0uWcXq1f8X/AJFexa6NqovEVZ1JVip+V8fxD0z1x2qxUdw0qW8jwRiSVVJVC23cfTPamWl3Fe2qXEJO1uxGCpHBBHYg8EVbTfvW0JknJOpbS5PRRRUmYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAU9V1BNK0ya8dGkKABI16yOSAqD3LED8ar6Lpb2EDzXTrNqN0RJdTDu3ZV9EXoB6c9Sag1cfadf0SyblA8t4w9fLUKM/RpFP1Arbqd2HU5PxLu8PavaeLoQfs8Si11VFyd1sTxLj1jY7un3WeuzVgyhlIIIyCO9VZoYriCSCaNZIpFKOjjIZSMEEdxXF+HPEuneFr5vBWt6lFDcWzqmmSTvj7RbPnyhn+8uDGc4ztU85pNG1KXQ7+qV5o+nag4e7soJZB92RkG9fo3UfhVuSRIo2kkdURAWZmOAAOpJrL/4SfRhAbhr9EtgpcXDqyxOAMkrIRtbgE8E8CpaT3OiM5Qd4uzL1nZRWEBhhaYpuyPNmeQj2BYk49qKsA5GaKaVthSk5O7d2Fcjrtze3Hj3QdIstQuLeKS3uLq9SIrzEm1U6g4y7jkdlrrq4uxi1ZfHesa5daDemFrWCzststuTsUs7kjzeMsw/BaBFq41C70Txnomltey3dpq6TqEnCloXiQOGVgASpGQQc87cEcg8rF8ENMHxBuPE02qXMlvLPJcfY1BRhI+Sf3qtuwCc8YPvXZWWjXF54kHiLVUWOaGBrextQ277OjHLsxHBdsKDjgAYBOSa6KgDnv8AhCdD/wCeV7/4Mbj/AOOUf8ITof8Azyvf/Bjcf/HK6GigVkc9/wAITof/ADyvf/Bjcf8Axyj/AIQnQ/8Anle/+DG4/wDjldDRQFkc9/whOh/88r3/AMGNx/8AHKP+EJ0P/nle/wDgxuP/AI5XQ0UBZHPf8ITof/PK9/8ABjcf/HKP+EJ0P/nle/8AgxuP/jldDRQFkc9/whOh/wDPK9/8GNx/8co/4QnQ/wDnle/+DG4/+OV0NFAWRz3/AAhOh/8APK9/8GNx/wDHKP8AhCdD/wCeV7/4Mbj/AOOV0NFAWRz3/CE6H/zyvf8AwY3H/wAco/4QnQ/+eV7/AODG4/8AjldDRQFkc9/whOh/88r3/wAGNx/8co/4QnQ/+eV7/wCDG4/+OV0NFAWRz3/CE6H/AM8r3/wY3H/xyj/hCdD/AOeV7/4Mbj/45XQ0UBZHPf8ACE6H/wA8r3/wY3H/AMco/wCEJ0P/AJ5Xv/gxuP8A45W3d3cFjbPcXMgjiTGWIz1OAABySTxgVTs7u/vbgSGz+y2IBx5/+ukPY7R9wfXn2FJyV7GkaTcXPp/X3mJqHhzw3pwjEkGoyTS5EUEN9cs8hHXA8zoMjJOAM8miw8G2UyvJfWc9uGI8uFNTuXZR/tN5mCfYcD1NdbUN1cx2drLcS52RqWIUZJ9gO5pqLctBrlceSMdX1/y/pmGfBGhMCDFeEHgg6hcEfkXpF8F+H95iVLrcqglBqVxkA5xx5nTg/ka1dLt54rdprsn7VcN5si5yEyMBB7AAD3OT3qvbg/8ACXaiccfYLXn/ALaXFOb5Xyp3RXs1aUb6R1/FIqf8ITof/PK9/wDBjcf/AByj/hCdD/55Xv8A4Mbj/wCOV0NFIwsjnv8AhCdD/wCeV7/4Mbj/AOOUf8ITof8Azyvf/Bjcf/HK6GigLI5w+DNAEgjKXe8gsF/tK4yQMZOPM9x+dO/4QnQ/+eV7/wCDG4/+OVblB/4S60ODj7BPz/20irWpJ3uaTpqKi+6v+LOe/wCEJ0P/AJ5Xv/gxuP8A45TF8C6EsjMI70K3VBfzgZ7nO/JJ46nsK6SiqUmtESm0ml1Oe/4QnQ/+eV7/AODG4/8AjlH/AAhOh/8APK9/8GNx/wDHKu2jy2F+bCdnkhlJe1lYkn1MZPqOo9R9K1KqceVlVKfI/I57/hCdD/55Xv8A4Mbj/wCOUf8ACE6H/wA8r3/wY3H/AMcroaKgzsjnv+EJ0P8A55Xv/gxuP/jlH/CE6H/zyvf/AAY3H/xyuhooCyOe/wCEJ0P/AJ5Xv/gxuP8A45R/whOh/wDPK9/8GNx/8croaKAsjnv+EJ0P/nle/wDgxuP/AI5R/wAITof/ADyvf/Bjcf8AxyuhooCyOe/4QnQ/+eV7/wCDG4/+OUf8ITof/PK9/wDBjcf/AByuhooCyOe/4QnQ/wDnle/+DG4/+OUf8ITof/PK9/8ABjcf/HK6GigLI57/AIQnQ/8Anle/+DG4/wDjlH/CE6H/AM8r3/wY3H/xyuhooCyOe/4QnQ/+eV7/AODG4/8AjlH/AAhOh/8APK9/8GNx/wDHK6GigLI57/hCdD/55Xv/AIMbj/45R/whOh/88r3/AMGNx/8AHK6GigLI57/hCdD/AOeV7/4Mbj/45R/whOh/88r3/wAGNx/8croaKAsjl5/h74buZEea1u2dAQrf2jc5AOMjPmd8D8hTP+Fb+GP+fW9/8Gd1/wDHK6uigLI5T/hW/hj/AJ9b3/wZ3X/xyuQ1z4DaNqvie21S21K6tLZNvnWxLTNJt/uyO5Zc/j7V61RQFkcTr+/XPiHpPhqcZ0uGzfVLqI/duWVwkaN6qGO4jocDNdJrmnWOracNMv8Ab5NxKgCHHzlD5mB+CH8jSajokN9f2uoxzSWt/aqyR3EWMlGxuRgQQykgHHYjIINS2+nlLgXNzcyXNwAVQsAqxg9dqjpn1OT74oGXqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/Z)\n \n\nLet \\(O_{A}\\) , \\(O_{B}\\) , \\(O_{C}\\) , and \\(O_{D}\\) be the circumcenters of \\(\\triangle B C D\\) , \\(\\triangle C D A\\) , \\(\\triangle D A B\\) , and \\(\\triangle A B C\\) , respectively. Note that \\(O_{B}O_{C}\\) is the perpendicular bisector of \\(\\overline{{A D}}\\) . Similarly, \\(O_{B}O_{D}\\perp A C\\) and \\(O_{C}O_{D}\\perp A B\\) . As \\(A B\\parallel C D\\) , we have \\(O_{C}O_{D}\\perp C D\\) . Then, \\(\\triangle O_{B}O_{C}O_{D}\\stackrel {\\star}{\\sim}\\triangle A D C\\) , as their corresponding sides are perpendicular. Likewise, \\(\\triangle O_{D}O_{A}O_{B}\\stackrel {\\star}{\\sim}\\triangle C B A\\) , so \\(O_{A}O_{B}O_{C}O_{D}\\stackrel {\\star}{\\sim}B A D C\\) . \n\nTherefore, we only need to compute the area of \\(A B C D\\) and the ratio of similarity between the two trapezoids. Draw a line parallel to \\(\\overline{{A D}}\\) passing through \\(B\\) . Let this line intersect \\(\\overline{{C D}}\\) at \\(X\\) . Then, \\(B X = A D = 4\\) , \\(C B = 8\\) , and \\(C X = C D - A B = 8\\) . The height \\(h\\) of \\(A B C D\\) is given by \n\n\\[h = d(B,\\overline{{X C}}) = \\frac{2[\\triangle B X C]}{X C} = \\frac{B X\\cdot d(C,\\overline{{B X}})}{X C} = \\frac{4\\sqrt{8^{2} - 2^{2}}}{8} = \\sqrt{15}.\\]\n\n\n\nOn the other hand, the height of \\(O_{A}O_{B}O_{C}O_{D}\\) is the distance between the perpendicular bisectors of \\(\\overline{{A B}}\\) and \\(\\overline{{C D}}\\) , which pass through the midpoints \\(M\\) of \\(\\overline{{A B}}\\) and \\(N\\) of \\(\\overline{{C D}}\\) . Let \\(A^{\\prime}\\) and \\(M^{\\prime}\\) be the projections of \\(A\\) and \\(M\\) onto \\(\\overline{{C D}}\\) , respectively. Then, the height of \\(O_{A}O_{B}O_{C}O_{D}\\) is given by \n\n\\[M^{\\prime}N = D N - D M^{\\prime} = \\frac{C D}{2} -\\frac{A B}{2} -D A^{\\prime} = \\frac{19 - 11}{2} -\\sqrt{4^{2} - h^{2}} = 3.\\] \n\nTherefore, the similarity ratio between the two trapezoids is \\(\\frac{3}{\\sqrt{15}}\\) . We know that the area of \\(A B C D\\) is \\(\\frac{1}{2} (11 + 19)\\sqrt{15} = 15\\sqrt{15}\\) , so the area of \\(O_{A}O_{B}O_{C}O_{D}\\) is \\(\\left(\\frac{3}{\\sqrt{15}}\\right)^{2}\\cdot 15\\sqrt{15} = \\boxed{9\\sqrt{15}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n6. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": "Geometry", "exam": "HMMT", "problem": "Trapezoid \\(A B C D\\) , with \\(A B\\parallel C D\\) , has side lengths \\(A B = 11\\) , \\(B C = 8\\) , \\(C D = 19\\) , and \\(D A = 4\\) . Compute the area of the convex quadrilateral whose vertices are the circumcenters of \\(\\triangle A B C\\) , \\(\\triangle B C D\\) , \\(\\triangle C D A\\) , and \\(\\triangle D A B\\) .", "solution": "![md5:b89478beaacda454384b1b3adf2b03df](b89478beaacda454384b1b3adf2b03df.jpeg)\n \n\nLet \\(O_{A}\\) , \\(O_{B}\\) , \\(O_{C}\\) , and \\(O_{D}\\) be the circumcenters of \\(\\triangle B C D\\) , \\(\\triangle C D A\\) , \\(\\triangle D A B\\) , and \\(\\triangle A B C\\) , respectively. Note that \\(O_{B}O_{C}\\) is the perpendicular bisector of \\(\\overline{{A D}}\\) . Similarly, \\(O_{B}O_{D}\\perp A C\\) and \\(O_{C}O_{D}\\perp A B\\) . As \\(A B\\parallel C D\\) , we have \\(O_{C}O_{D}\\perp C D\\) . Then, \\(\\triangle O_{B}O_{C}O_{D}\\stackrel {\\star}{\\sim}\\triangle A D C\\) , as their corresponding sides are perpendicular. Likewise, \\(\\triangle O_{D}O_{A}O_{B}\\stackrel {\\star}{\\sim}\\triangle C B A\\) , so \\(O_{A}O_{B}O_{C}O_{D}\\stackrel {\\star}{\\sim}B A D C\\) . \n\nTherefore, we only need to compute the area of \\(A B C D\\) and the ratio of similarity between the two trapezoids. Draw a line parallel to \\(\\overline{{A D}}\\) passing through \\(B\\) . Let this line intersect \\(\\overline{{C D}}\\) at \\(X\\) . Then, \\(B X = A D = 4\\) , \\(C B = 8\\) , and \\(C X = C D - A B = 8\\) . The height \\(h\\) of \\(A B C D\\) is given by \n\n\\[h = d(B,\\overline{{X C}}) = \\frac{2[\\triangle B X C]}{X C} = \\frac{B X\\cdot d(C,\\overline{{B X}})}{X C} = \\frac{4\\sqrt{8^{2} - 2^{2}}}{8} = \\sqrt{15}.\\]\n\n\n\nOn the other hand, the height of \\(O_{A}O_{B}O_{C}O_{D}\\) is the distance between the perpendicular bisectors of \\(\\overline{{A B}}\\) and \\(\\overline{{C D}}\\) , which pass through the midpoints \\(M\\) of \\(\\overline{{A B}}\\) and \\(N\\) of \\(\\overline{{C D}}\\) . Let \\(A^{\\prime}\\) and \\(M^{\\prime}\\) be the projections of \\(A\\) and \\(M\\) onto \\(\\overline{{C D}}\\) , respectively. Then, the height of \\(O_{A}O_{B}O_{C}O_{D}\\) is given by \n\n\\[M^{\\prime}N = D N - D M^{\\prime} = \\frac{C D}{2} -\\frac{A B}{2} -D A^{\\prime} = \\frac{19 - 11}{2} -\\sqrt{4^{2} - h^{2}} = 3.\\] \n\nTherefore, the similarity ratio between the two trapezoids is \\(\\frac{3}{\\sqrt{15}}\\) . We know that the area of \\(A B C D\\) is \\(\\frac{1}{2} (11 + 19)\\sqrt{15} = 15\\sqrt{15}\\) , so the area of \\(O_{A}O_{B}O_{C}O_{D}\\) is \\(\\left(\\frac{3}{\\sqrt{15}}\\right)^{2}\\cdot 15\\sqrt{15} = \\boxed{9\\sqrt{15}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n6. ", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) is inside triangle \\(\\triangle A B C\\) such that \\(\\angle A B P = \\angle A C P\\) . Given that \\(A B = 6\\) , \\(A C = 8\\) , \\(B C = 7\\) , and \\(\\frac{B P}{P C} = \\frac{1}{2}\\) , compute \\(\\frac{|B P C|}{|A B C|}\\) . \n\n(Here, \\([X Y Z]\\) denotes the area of \\(\\triangle X Y Z\\) ).", "solution": "Answer: \\(\\frac{7}{18}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) is inside triangle \\(\\triangle A B C\\) such that \\(\\angle A B P = \\angle A C P\\) . Given that \\(A B = 6\\) , \\(A C = 8\\) , \\(B C = 7\\) , and \\(\\frac{B P}{P C} = \\frac{1}{2}\\) , compute \\(\\frac{|B P C|}{|A B C|}\\) . \n\n(Here, \\([X Y Z]\\) denotes the area of \\(\\triangle X Y Z\\) ).", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet the internal and external bisectors of \\(\\angle B A C\\) meet \\(B C\\) at \\(D\\) and \\(E\\) . Similarly, let the internal and external bisectors of \\(\\angle B P C\\) meet \\(B C\\) at \\(D^{\\prime}\\) and \\(E^{\\prime}\\) . The angle condition implies that \\(A D\\parallel P D^{\\prime}\\) and \\(A E\\parallel P E^{\\prime}\\) . Thus, triangles \\(A D E\\) and \\(P D^{\\prime}E^{\\prime}\\) are homothetic. Hence, the requested ratio is \\(\\frac{D E}{D^{\\prime}E^{\\prime}}\\) . Repeated applications of the angle bisector theorem yield \n\n\\[B D = 7\\cdot {\\frac{6}{6 + 8}} = 3,\\] \\[B E = 7\\cdot {\\frac{6}{8 - 6}} = 21,\\] \\[B D^{\\prime} = 7\\cdot {\\frac{1}{1 + 2}} = {\\frac{7}{3}},\\] \\[B E^{\\prime} = 7\\cdot {\\frac{1}{2 - 1}} = 7,\\] \n\nso \\(D E = 24\\) and \\(D^{\\prime}E^{\\prime} = 28 / 3\\) . Hence, the answer is \\(\\frac{28 / 3}{24} = \\left[\\frac{7}{18}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nSolution 1: \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) is inside triangle \\(\\triangle A B C\\) such that \\(\\angle A B P = \\angle A C P\\) . Given that \\(A B = 6\\) , \\(A C = 8\\) , \\(B C = 7\\) , and \\(\\frac{B P}{P C} = \\frac{1}{2}\\) , compute \\(\\frac{|B P C|}{|A B C|}\\) . \n\n(Here, \\([X Y Z]\\) denotes the area of \\(\\triangle X Y Z\\) ).", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(D = A P\\cap B C\\) \\(E = B P\\cap A C\\) and \\(F = C P\\cap A B\\) . Then, \\(B C E F\\) is cyclic, so by Power of a Point, \\(\\frac{A E}{A F} = \\frac{A B}{A C} = \\frac{3}{4}\\) . Let \\(A E = 3x\\) and \\(A F = 4x\\) . Then, \n\n\\[\\triangle P F B\\sim \\triangle P E C\\Longrightarrow \\frac{B F}{C E} = \\frac{B P}{C P}\\Longrightarrow \\frac{6 - 4x}{8 - 3x} = \\frac{1}{2}.\\] \n\nSolving for \\(x\\) gives \\(x = \\frac{4}{5}\\) , so we get that \\(A F = \\frac{16}{5}\\) , \\(F B = \\frac{14}{5}\\) , \\(A E = \\frac{12}{5}\\) , and \\(E C = \\frac{40}{5}\\) . By Ceva's theorem on \\(\\triangle A B C\\) and point \\(P\\) , we have \n\n\\[\\frac{B D}{D C} = \\frac{A E}{E C}\\cdot \\frac{B F}{F A} = \\frac{A E}{A F}\\cdot \\frac{B F}{C E} = \\frac{3}{4}\\cdot \\frac{1}{2} = \\frac{3}{8}.\\] \n\nFinally, by Menelaus's theorem on \\(\\triangle A D C\\) and line \\(B E\\) , we get that \n\n\\[\\frac{A P}{P D} = \\frac{C B}{B D}\\cdot \\frac{A E}{E C} = \\frac{11}{3}\\cdot \\frac{12}{28} = \\frac{11}{7},\\] \n\nwhich implies that \\(\\frac{|B P C|}{|A B C|} = \\left[\\frac{7}{18}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nSolution 2:\n\n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) is inside triangle \\(\\triangle A B C\\) such that \\(\\angle A B P = \\angle A C P\\) . Given that \\(A B = 6\\) , \\(A C = 8\\) , \\(B C = 7\\) , and \\(\\frac{B P}{P C} = \\frac{1}{2}\\) , compute \\(\\frac{|B P C|}{|A B C|}\\) . \n\n(Here, \\([X Y Z]\\) denotes the area of \\(\\triangle X Y Z\\) ).", "solution": "![md5:0f8d285c7902e9de79a6c8453e3fe343](0f8d285c7902e9de79a6c8453e3fe343.jpeg)\n \n\nLet the internal and external bisectors of \\(\\angle B A C\\) meet \\(B C\\) at \\(D\\) and \\(E\\) . Similarly, let the internal and external bisectors of \\(\\angle B P C\\) meet \\(B C\\) at \\(D^{\\prime}\\) and \\(E^{\\prime}\\) . The angle condition implies that \\(A D\\parallel P D^{\\prime}\\) and \\(A E\\parallel P E^{\\prime}\\) . Thus, triangles \\(A D E\\) and \\(P D^{\\prime}E^{\\prime}\\) are homothetic. Hence, the requested ratio is \\(\\frac{D E}{D^{\\prime}E^{\\prime}}\\) . Repeated applications of the angle bisector theorem yield \n\n\\[B D = 7\\cdot {\\frac{6}{6 + 8}} = 3,\\] \\[B E = 7\\cdot {\\frac{6}{8 - 6}} = 21,\\] \\[B D^{\\prime} = 7\\cdot {\\frac{1}{1 + 2}} = {\\frac{7}{3}},\\] \\[B E^{\\prime} = 7\\cdot {\\frac{1}{2 - 1}} = 7,\\] \n\nso \\(D E = 24\\) and \\(D^{\\prime}E^{\\prime} = 28 / 3\\) . Hence, the answer is \\(\\frac{28 / 3}{24} = \\left[\\frac{7}{18}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nSolution 1: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) is inside triangle \\(\\triangle A B C\\) such that \\(\\angle A B P = \\angle A C P\\) . Given that \\(A B = 6\\) , \\(A C = 8\\) , \\(B C = 7\\) , and \\(\\frac{B P}{P C} = \\frac{1}{2}\\) , compute \\(\\frac{|B P C|}{|A B C|}\\) . \n\n(Here, \\([X Y Z]\\) denotes the area of \\(\\triangle X Y Z\\) ).", "solution": "![md5:81c307a05321f49518a124cd36d44fda](81c307a05321f49518a124cd36d44fda.jpeg)\n \n\nLet \\(D = A P\\cap B C\\) \\(E = B P\\cap A C\\) and \\(F = C P\\cap A B\\) . Then, \\(B C E F\\) is cyclic, so by Power of a Point, \\(\\frac{A E}{A F} = \\frac{A B}{A C} = \\frac{3}{4}\\) . Let \\(A E = 3x\\) and \\(A F = 4x\\) . Then, \n\n\\[\\triangle P F B\\sim \\triangle P E C\\Longrightarrow \\frac{B F}{C E} = \\frac{B P}{C P}\\Longrightarrow \\frac{6 - 4x}{8 - 3x} = \\frac{1}{2}.\\] \n\nSolving for \\(x\\) gives \\(x = \\frac{4}{5}\\) , so we get that \\(A F = \\frac{16}{5}\\) , \\(F B = \\frac{14}{5}\\) , \\(A E = \\frac{12}{5}\\) , and \\(E C = \\frac{40}{5}\\) . By Ceva's theorem on \\(\\triangle A B C\\) and point \\(P\\) , we have \n\n\\[\\frac{B D}{D C} = \\frac{A E}{E C}\\cdot \\frac{B F}{F A} = \\frac{A E}{A F}\\cdot \\frac{B F}{C E} = \\frac{3}{4}\\cdot \\frac{1}{2} = \\frac{3}{8}.\\] \n\nFinally, by Menelaus's theorem on \\(\\triangle A D C\\) and line \\(B E\\) , we get that \n\n\\[\\frac{A P}{P D} = \\frac{C B}{B D}\\cdot \\frac{A E}{E C} = \\frac{11}{3}\\cdot \\frac{12}{28} = \\frac{11}{7},\\] \n\nwhich implies that \\(\\frac{|B P C|}{|A B C|} = \\left[\\frac{7}{18}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nSolution 2:\n\n\n"}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": "Geometry", "exam": "HMMT", "problem": "Point \\(P\\) is inside triangle \\(\\triangle A B C\\) such that \\(\\angle A B P = \\angle A C P\\) . Given that \\(A B = 6\\) , \\(A C = 8\\) , \\(B C = 7\\) , and \\(\\frac{B P}{P C} = \\frac{1}{2}\\) , compute \\(\\frac{|B P C|}{|A B C|}\\) . \n\n(Here, \\([X Y Z]\\) denotes the area of \\(\\triangle X Y Z\\) ).", "solution": "We use barycentric coordinates with respect to \\(\\triangle A B C\\) . From \\(\\angle A B P = \\angle A C P\\) , we get \n\n\\[\\frac{|A B P|}{|A C P|} = \\frac{A B\\cdot B P}{A C\\cdot C P} = \\frac{3}{8},\\] \n\nso \\(P\\) has coordinate \\((- :8:3)\\) . Let \\(Q\\) be the isogonal conjugate of \\(P\\) , so \\(Q\\) lies on perpendicular bisector of \\(B C\\) . By Steiner ratio theorem, \\(Q\\) has coordinate \\(\\left(- :8^{2} / 8:6^{2} / 3\\right) = \\left(- :8:12\\right) = \\left(- :2:3\\right)\\) . Let the coordinate be \\((t:2:3)\\) for some real number \\(t\\) . Then, recall the equation for the perpendicular bisector (from Corollary 6 of https://web.evanchem.cc/handouts/bary/bary- full.pdf): \n\n\\[a^{2}(z - y) + x(c^{2} - b^{2}) = 0\\] \\[\\Rightarrow 7^{2}(3 - 2) + t(6^{2} - 8^{2}) = 0,\\] \n\nso \\(t = \\frac{7^{2}(3 - 2)}{8^{2} - 6^{2}} = \\frac{7}{4}\\) . Hence, point \\(Q\\) has coordinates \\((7:8:12)\\) , so point \\(P\\) has coordinates \\((7^{2} / 7:8^{2} / 8:6^{2} / 12) = (7:8:3)\\) . Therefore, \\(|B P C| / |A B C| = \\left[\\frac{7}{18}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n7. ", "solution_match": "\nSolution 3: "}} {"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be an isosceles trapezoid such that \\(C D > A B = 4\\) . Let \\(E\\) be a point on line \\(C D\\) such that \\(D E = 2\\) and \\(D\\) lies between \\(E\\) and \\(C\\) . Let \\(M\\) be the midpoint of \\(\\overline{{A E}}\\) . Given that points \\(A\\) , \\(B\\) , \\(C\\) , \\(D\\) , and \\(M\\) lie on a circle with radius 5, compute \\(M D\\) .", "solution": "Answer: \\(\\sqrt{6}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n8. ", "solution_match": "\nProposed by: Sarunyu Thongjarast \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be an isosceles trapezoid such that \\(C D > A B = 4\\) . Let \\(E\\) be a point on line \\(C D\\) such that \\(D E = 2\\) and \\(D\\) lies between \\(E\\) and \\(C\\) . Let \\(M\\) be the midpoint of \\(\\overline{{A E}}\\) . Given that points \\(A\\) , \\(B\\) , \\(C\\) , \\(D\\) , and \\(M\\) lie on a circle with radius 5, compute \\(M D\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(D^{\\prime}\\) be the reflection of \\(D\\) across \\(M\\) . Then, \\(A D E D^{\\prime}\\) is a parallelogram. Hence, \\(D^{\\prime}A = 2\\) , so \\(D^{\\prime}B = 6\\) . Thus, if \\(D^{\\prime}M = M D = x\\) , then Power of a Point at \\(D^{\\prime}\\) gives \\(x\\cdot (2x) = 2\\cdot 6\\) , so \\(x = \\sqrt{6}\\) . \n\nRemark. The radius of the circle is unnecessary.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n8. ", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be an isosceles trapezoid such that \\(C D > A B = 4\\) . Let \\(E\\) be a point on line \\(C D\\) such that \\(D E = 2\\) and \\(D\\) lies between \\(E\\) and \\(C\\) . Let \\(M\\) be the midpoint of \\(\\overline{{A E}}\\) . Given that points \\(A\\) , \\(B\\) , \\(C\\) , \\(D\\) , and \\(M\\) lie on a circle with radius 5, compute \\(M D\\) .", "solution": "![md5:99272909b8e7b4116af394fdccc3eb87](99272909b8e7b4116af394fdccc3eb87.jpeg)\n \n\nLet \\(D^{\\prime}\\) be the reflection of \\(D\\) across \\(M\\) . Then, \\(A D E D^{\\prime}\\) is a parallelogram. Hence, \\(D^{\\prime}A = 2\\) , so \\(D^{\\prime}B = 6\\) . Thus, if \\(D^{\\prime}M = M D = x\\) , then Power of a Point at \\(D^{\\prime}\\) gives \\(x\\cdot (2x) = 2\\cdot 6\\) , so \\(x = \\sqrt{6}\\) . \n\nRemark. The radius of the circle is unnecessary.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n8. ", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be a rectangle with \\(B C = 24\\) . Point \\(X\\) lies inside the rectangle such that \\(\\angle A X B = 90^{\\circ}\\) . Given that triangles \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are both acute and have circumradii 13 and 15, respectively, compute \\(A B\\) .", "solution": "Answer: \\(\\boxed{14 + 4\\sqrt{37}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nProposed by: Pitchayut Saengrungkongka \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be a rectangle with \\(B C = 24\\) . Point \\(X\\) lies inside the rectangle such that \\(\\angle A X B = 90^{\\circ}\\) . Given that triangles \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are both acute and have circumradii 13 and 15, respectively, compute \\(A B\\) .", "solution": "Let \\(M\\) be the midpoint of \\(A B\\) . Let \\(O_{1}\\) and \\(O_{2}\\) be the circumcenters of \\(\\triangle A X D\\) and \\(\\triangle B X C\\) , respectively. Since \\(O_{1}M\\) is the perpendicular bisector of \\(A X\\) and \\(O_{2}M\\) is the perpendicular bisector of \\(B X\\) , we get that \\(\\angle O_{1}M O_{2} = 90^{\\circ}\\) . \n\nLet \\(P_{1}\\) and \\(P_{2}\\) be the projections of \\(O_{1}\\) and \\(O_{2}\\) onto segment \\(A B\\) , respectively, and let \\(A B = 2x\\) . By the Pythagorean theorem, \\(P_{1}A = \\sqrt{O_{1}A^{2} - O_{1}P_{1}^{2}} = \\sqrt{15^{2} - 12^{2}} = 5\\) , so \\(M P_{1} = M A - P_{1}A = x - 5\\) . Likewise, \\(M P_{2} = M B - \\sqrt{15^{2} - 12^{2}} = x - 9\\) . Since \\(\\triangle M P_{1}O_{1}\\sim \\triangle O_{2}P_{2}M\\) , we know \n\n\\[(x - 5)(x - 9) = M P_{1}\\cdot M P_{2} = O_{2}P_{2}\\cdot P_{1}O_{1} = 12^{2}.\\] \n\nSolving this, we get \\(x = 7 + 2\\sqrt{37}\\) , which implies that \\(A B = 2x = \\boxed{14 + 4\\sqrt{37}}\\) . (The condition that \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are acute rules out \\(14 - 4\\sqrt{37}\\) .)\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nSolution 1: "}} -{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be a rectangle with \\(B C = 24\\) . Point \\(X\\) lies inside the rectangle such that \\(\\angle A X B = 90^{\\circ}\\) . Given that triangles \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are both acute and have circumradii 13 and 15, respectively, compute \\(A B\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(P\\) be the antipode of \\(A\\) in \\(\\odot (AXD)\\) and \\(Q\\) be the antipode of \\(B\\) in \\(\\odot (BXC)\\) . From \\(\\angle PDA = \\angle QCB = 90^{\\circ}\\) , we get that \\(P\\) and \\(Q\\) lie on \\(CD\\) . Moreover, from \\(\\angle PXA = 90^{\\circ}\\) , we get that \\(P \\in BX\\) , and similarly \\(Q \\in AX\\) . \n\nBeing a diameter, \\(AP = 2\\cdot 13 = 26\\) , so by the Pythagorean theorem, \\(DP = \\sqrt{26^{2} - 24^{2}} = 10\\) . Similarly, \\(BQ = 30\\) and \\(CQ = \\sqrt{30^{2} - 24^{2}} = 18\\) . Letting \\(AB = x\\) , we get \\(PQ = x - 28\\) . Quadrilateral \\(ABQP\\) has perpendicular diagonals, so \\(AB^{2} + PQ^{2} = AP^{2} + BQ^{2}\\) , which means that \\(x^{2} + (x - 28)^{2} = 26^{2} + 30^{2}\\) . \n\nSolving this quadratic gives \\(x = \\boxed {14 + 4\\sqrt{37}}\\) . (The condition that \\(\\triangle AXD\\) and \\(\\triangle BXC\\) are acute rules out \\(14 - 4\\sqrt{37}\\) .)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nSolution 2: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be a rectangle with \\(B C = 24\\) . Point \\(X\\) lies inside the rectangle such that \\(\\angle A X B = 90^{\\circ}\\) . Given that triangles \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are both acute and have circumradii 13 and 15, respectively, compute \\(A B\\) .", "solution": "Let \\(M\\) be the midpoint of \\(A B\\) . Let \\(O_{1}\\) and \\(O_{2}\\) be the circumcenters of \\(\\triangle A X D\\) and \\(\\triangle B X C\\) , respectively. Since \\(O_{1}M\\) is the perpendicular bisector of \\(A X\\) and \\(O_{2}M\\) is the perpendicular bisector of \\(B X\\) , we get that \\(\\angle O_{1}M O_{2} = 90^{\\circ}\\) . \n\nLet \\(P_{1}\\) and \\(P_{2}\\) be the projections of \\(O_{1}\\) and \\(O_{2}\\) onto segment \\(A B\\) , respectively, and let \\(A B = 2x\\) . By the Pythagorean theorem, \\(P_{1}A = \\sqrt{O_{1}A^{2} - O_{1}P_{1}^{2}} = \\sqrt{15^{2} - 12^{2}} = 5\\) , so \\(M P_{1} = M A - P_{1}A = x - 5\\) . Likewise, \\(M P_{2} = M B - \\sqrt{15^{2} - 12^{2}} = x - 9\\) . Since \\(\\triangle M P_{1}O_{1}\\sim \\triangle O_{2}P_{2}M\\) , we know \n\n\\[(x - 5)(x - 9) = M P_{1}\\cdot M P_{2} = O_{2}P_{2}\\cdot P_{1}O_{1} = 12^{2}.\\] \n\nSolving this, we get \\(x = 7 + 2\\sqrt{37}\\) , which implies that \\(A B = 2x = \\boxed{14 + 4\\sqrt{37}}\\) . (The condition that \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are acute rules out \\(14 - 4\\sqrt{37}\\) .)\n\n\n![md5:73c875021da9d1a19da0890bf095a65e](73c875021da9d1a19da0890bf095a65e.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nSolution 1: "}} +{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": "Geometry", "exam": "HMMT", "problem": "Let \\(A B C D\\) be a rectangle with \\(B C = 24\\) . Point \\(X\\) lies inside the rectangle such that \\(\\angle A X B = 90^{\\circ}\\) . Given that triangles \\(\\triangle A X D\\) and \\(\\triangle B X C\\) are both acute and have circumradii 13 and 15, respectively, compute \\(A B\\) .", "solution": "![md5:666d9c083cfaee5f174d61d41f0513fe](666d9c083cfaee5f174d61d41f0513fe.jpeg)\n \n\nLet \\(P\\) be the antipode of \\(A\\) in \\(\\odot (AXD)\\) and \\(Q\\) be the antipode of \\(B\\) in \\(\\odot (BXC)\\) . From \\(\\angle PDA = \\angle QCB = 90^{\\circ}\\) , we get that \\(P\\) and \\(Q\\) lie on \\(CD\\) . Moreover, from \\(\\angle PXA = 90^{\\circ}\\) , we get that \\(P \\in BX\\) , and similarly \\(Q \\in AX\\) . \n\nBeing a diameter, \\(AP = 2\\cdot 13 = 26\\) , so by the Pythagorean theorem, \\(DP = \\sqrt{26^{2} - 24^{2}} = 10\\) . Similarly, \\(BQ = 30\\) and \\(CQ = \\sqrt{30^{2} - 24^{2}} = 18\\) . Letting \\(AB = x\\) , we get \\(PQ = x - 28\\) . Quadrilateral \\(ABQP\\) has perpendicular diagonals, so \\(AB^{2} + PQ^{2} = AP^{2} + BQ^{2}\\) , which means that \\(x^{2} + (x - 28)^{2} = 26^{2} + 30^{2}\\) . \n\nSolving this quadratic gives \\(x = \\boxed {14 + 4\\sqrt{37}}\\) . (The condition that \\(\\triangle AXD\\) and \\(\\triangle BXC\\) are acute rules out \\(14 - 4\\sqrt{37}\\) .)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n9. ", "solution_match": "\nSolution 2: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Geometry", "exam": "HMMT", "problem": "A plane \\(\\mathcal{P}\\) intersects a rectangular prism at a hexagon which has side lengths 45, 66, 63, 55, 54, and 77, in that order. Compute the distance from the center of the rectangular prism to \\(\\mathcal{P}\\) .", "solution": "Answer: \\(\\boxed{\\sqrt{\\frac{95}{24}}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nProposed by: Albert Wang, Karthik Venkata Vedula \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Geometry", "exam": "HMMT", "problem": "A plane \\(\\mathcal{P}\\) intersects a rectangular prism at a hexagon which has side lengths 45, 66, 63, 55, 54, and 77, in that order. Compute the distance from the center of the rectangular prism to \\(\\mathcal{P}\\) .", "solution": "Translate \\(\\mathcal{P}\\) so that it contains the center. The intersection of the translated plane with the rectangular prism is a centrally symmetric hexagon. Let its side lengths be \\(a\\) , \\(b\\) , \\(c\\) , \\(a\\) , \\(b\\) , and \\(c\\) , in that order. Then, for some \\(t_{a}\\) , \\(t_{b}\\) , and \\(t_{c}\\) , the side lengths of the hexagon before the translation were \n\n\\[(a - t_{a},b + t_{b},c - t_{c},a + t_{a},b - t_{b},c + t_{c}) = (45,66,63,55,54,77),\\] \n\nfrom which it follows that \\(t_{a} = 5\\) , \\(t_{b} = 6\\) , and \\(t_{c} = 7\\) . \n\nNow, a translation of a plane can be written in one of three equivalent forms: it can be viewed as a translation in the \\(x\\) direction by a distance \\(d_{x}\\) , a translation in the \\(y\\) direction by a distance \\(d_{y}\\) , or a translation in the \\(z\\) direction by a distance \\(d_{z}\\) (with coordinate axes chosen as shown below).\n\n\n![](data:image/jpeg;base64,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)\n \n\nAs shown above, we can express \\(t_{a}\\) , \\(t_{b}\\) , and \\(t_{c}\\) in terms of \\(d_{x}\\) , \\(d_{y}\\) , and \\(d_{z}\\) using the Pythagorean theorem, which yields \\(t_{a} = \\sqrt{d_{y}^{2} + d_{z}^{2}}\\) , \\(t_{b} = \\sqrt{d_{z}^{2} + d_{x}^{2}}\\) , and \\(t_{c} = \\sqrt{d_{x}^{2} + d_{y}^{2}}\\) . Hence, \n\n\\[(d_{x}^{2}, d_{y}^{2}, d_{z}^{2}) = \\left(\\frac{5^{2} + 6^{2} - 7^{2}}{2}, \\frac{6^{2} + 7^{2} - 5^{2}}{2}, \\frac{7^{2} + 5^{2} - 6^{2}}{2}\\right) = (6, 30, 19).\\] \n\nWe can draw a right pyramid with legs \\(d_{x}\\) , \\(d_{y}\\) , and \\(d_{z}\\) which has the center of the prism as a vertex with opposite face on \\(\\mathcal{P}\\) . Then, the height of this pyramid, or the distance from the center to \\(\\mathcal{P}\\) , is \n\n\\[\\sqrt{\\frac{1}{d_{x}^{-2} + d_{y}^{-2} + d_{z}^{-2}}} = \\sqrt{\\frac{1}{6^{-1} + 30^{-1} + 19^{-1}}} = \\sqrt{\\frac{95}{24}};\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nSolution 1: "}} -{"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Geometry", "exam": "HMMT", "problem": "A plane \\(\\mathcal{P}\\) intersects a rectangular prism at a hexagon which has side lengths 45, 66, 63, 55, 54, and 77, in that order. Compute the distance from the center of the rectangular prism to \\(\\mathcal{P}\\) .", "solution": "Let the vertices of the hexagon be \\(ABCDEF\\) , where \\(AB = 45\\) , \\(BC = 66\\) , etc. Note that \\(AB \\parallel DE\\) , \\(BC \\parallel EF\\) , and \\(CD \\parallel FA\\) . Let \\(O\\) be the center of the prism, and let \\(M\\) , \\(N\\) , and \\(P\\) be the midpoints of \\(AD\\) , \\(BE\\) , and \\(CF\\) , respectively. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nThe key observation is that \\(M N\\) is the midline between \\(A B\\) and \\(D E\\) . Hence, plane \\(O M N\\) is the midplane between the faces of the prism containing sides \\(A B\\) and \\(D E\\) . Similarly, planes \\(O M P\\) and \\(O N P\\) are the other two midplanes of the prism. Thus, \\(O M\\) , \\(O N\\) , and \\(O P\\) are mutually orthogonal. \n\nObserve \n\n\\[M N = \\frac{|A B - D E|}{2} = 5, \\quad N P = \\frac{|B C - E F|}{2} = 6, \\quad \\text{and} \\quad P M = \\frac{|C D - F A|}{2} = 7,\\] \n\nso by Heron's formula, we can compute the area of \\(M N P\\) to be \\(\\sqrt{9(9 - 5)(9 - 6)(9 - 7)} = 6\\sqrt{6}\\) . \n\nMoreover, if \\(x = O M\\) , \\(y = O N\\) , and \\(z = O P\\) , then, \n\n\\[x^{2} + y^{2} = 5^{2}, \\quad y^{2} + z^{2} = 6^{2}, \\quad \\text{and} \\quad z^{2} + x^{2} = 7^{2}.\\] \n\nSolving this system of equations gives \\(x = \\sqrt{19}\\) , \\(y = \\sqrt{6}\\) , and \\(z = \\sqrt{30}\\) . Therefore, if \\(d\\) is the distance from \\(O\\) to plane \\(M N P\\) (i.e., the answer), the volume of tetrahedron \\(O M N P\\) can be written as \n\n\\[\\frac{1}{6} \\cdot \\sqrt{19} \\cdot \\sqrt{6} \\cdot \\sqrt{30} = \\frac{1}{3} \\cdot (6\\sqrt{6}) \\cdot d,\\] \n\nSO \n\n\\[d = \\frac{\\sqrt{19 \\cdot 6 \\cdot 30}}{2 \\cdot 6 \\sqrt{6}} = \\sqrt{\\frac{95}{24}}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nSolution 2: "}} +{"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Geometry", "exam": "HMMT", "problem": "A plane \\(\\mathcal{P}\\) intersects a rectangular prism at a hexagon which has side lengths 45, 66, 63, 55, 54, and 77, in that order. Compute the distance from the center of the rectangular prism to \\(\\mathcal{P}\\) .", "solution": "Translate \\(\\mathcal{P}\\) so that it contains the center. The intersection of the translated plane with the rectangular prism is a centrally symmetric hexagon. Let its side lengths be \\(a\\) , \\(b\\) , \\(c\\) , \\(a\\) , \\(b\\) , and \\(c\\) , in that order. Then, for some \\(t_{a}\\) , \\(t_{b}\\) , and \\(t_{c}\\) , the side lengths of the hexagon before the translation were \n\n\\[(a - t_{a},b + t_{b},c - t_{c},a + t_{a},b - t_{b},c + t_{c}) = (45,66,63,55,54,77),\\] \n\nfrom which it follows that \\(t_{a} = 5\\) , \\(t_{b} = 6\\) , and \\(t_{c} = 7\\) . \n\nNow, a translation of a plane can be written in one of three equivalent forms: it can be viewed as a translation in the \\(x\\) direction by a distance \\(d_{x}\\) , a translation in the \\(y\\) direction by a distance \\(d_{y}\\) , or a translation in the \\(z\\) direction by a distance \\(d_{z}\\) (with coordinate axes chosen as shown below).\n\n\n![md5:aa24b6ffd361094bfb5582485f15d72d](aa24b6ffd361094bfb5582485f15d72d.jpeg)\n \n\nAs shown above, we can express \\(t_{a}\\) , \\(t_{b}\\) , and \\(t_{c}\\) in terms of \\(d_{x}\\) , \\(d_{y}\\) , and \\(d_{z}\\) using the Pythagorean theorem, which yields \\(t_{a} = \\sqrt{d_{y}^{2} + d_{z}^{2}}\\) , \\(t_{b} = \\sqrt{d_{z}^{2} + d_{x}^{2}}\\) , and \\(t_{c} = \\sqrt{d_{x}^{2} + d_{y}^{2}}\\) . Hence, \n\n\\[(d_{x}^{2}, d_{y}^{2}, d_{z}^{2}) = \\left(\\frac{5^{2} + 6^{2} - 7^{2}}{2}, \\frac{6^{2} + 7^{2} - 5^{2}}{2}, \\frac{7^{2} + 5^{2} - 6^{2}}{2}\\right) = (6, 30, 19).\\] \n\nWe can draw a right pyramid with legs \\(d_{x}\\) , \\(d_{y}\\) , and \\(d_{z}\\) which has the center of the prism as a vertex with opposite face on \\(\\mathcal{P}\\) . Then, the height of this pyramid, or the distance from the center to \\(\\mathcal{P}\\) , is \n\n\\[\\sqrt{\\frac{1}{d_{x}^{-2} + d_{y}^{-2} + d_{z}^{-2}}} = \\sqrt{\\frac{1}{6^{-1} + 30^{-1} + 19^{-1}}} = \\sqrt{\\frac{95}{24}};\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nSolution 1: "}} +{"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": "Geometry", "exam": "HMMT", "problem": "A plane \\(\\mathcal{P}\\) intersects a rectangular prism at a hexagon which has side lengths 45, 66, 63, 55, 54, and 77, in that order. Compute the distance from the center of the rectangular prism to \\(\\mathcal{P}\\) .", "solution": "Let the vertices of the hexagon be \\(ABCDEF\\) , where \\(AB = 45\\) , \\(BC = 66\\) , etc. Note that \\(AB \\parallel DE\\) , \\(BC \\parallel EF\\) , and \\(CD \\parallel FA\\) . Let \\(O\\) be the center of the prism, and let \\(M\\) , \\(N\\) , and \\(P\\) be the midpoints of \\(AD\\) , \\(BE\\) , and \\(CF\\) , respectively. \n\n![md5:f74d2aed280dfd51da731ca27ca6a400](f74d2aed280dfd51da731ca27ca6a400.jpeg)\n\n\n\n\nThe key observation is that \\(M N\\) is the midline between \\(A B\\) and \\(D E\\) . Hence, plane \\(O M N\\) is the midplane between the faces of the prism containing sides \\(A B\\) and \\(D E\\) . Similarly, planes \\(O M P\\) and \\(O N P\\) are the other two midplanes of the prism. Thus, \\(O M\\) , \\(O N\\) , and \\(O P\\) are mutually orthogonal. \n\nObserve \n\n\\[M N = \\frac{|A B - D E|}{2} = 5, \\quad N P = \\frac{|B C - E F|}{2} = 6, \\quad \\text{and} \\quad P M = \\frac{|C D - F A|}{2} = 7,\\] \n\nso by Heron's formula, we can compute the area of \\(M N P\\) to be \\(\\sqrt{9(9 - 5)(9 - 6)(9 - 7)} = 6\\sqrt{6}\\) . \n\nMoreover, if \\(x = O M\\) , \\(y = O N\\) , and \\(z = O P\\) , then, \n\n\\[x^{2} + y^{2} = 5^{2}, \\quad y^{2} + z^{2} = 6^{2}, \\quad \\text{and} \\quad z^{2} + x^{2} = 7^{2}.\\] \n\nSolving this system of equations gives \\(x = \\sqrt{19}\\) , \\(y = \\sqrt{6}\\) , and \\(z = \\sqrt{30}\\) . Therefore, if \\(d\\) is the distance from \\(O\\) to plane \\(M N P\\) (i.e., the answer), the volume of tetrahedron \\(O M N P\\) can be written as \n\n\\[\\frac{1}{6} \\cdot \\sqrt{19} \\cdot \\sqrt{6} \\cdot \\sqrt{30} = \\frac{1}{3} \\cdot (6\\sqrt{6}) \\cdot d,\\] \n\nSO \n\n\\[d = \\frac{\\sqrt{19 \\cdot 6 \\cdot 30}}{2 \\cdot 6 \\sqrt{6}} = \\sqrt{\\frac{95}{24}}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-geo-solutions.jsonl", "problem_match": "\n10. ", "solution_match": "\nSolution 2: "}} diff --git a/HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl b/HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl index 0d62ab7cadb55888b3bafc8061cb4db5e2e7792b..3b0a3a97e9ec2d9493466b85da0d874bf2b8eeb5 100644 --- a/HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl +++ b/HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl @@ -5,19 +5,19 @@ {"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Jacob rolls two fair six-sided dice. If the outcomes of these dice rolls are the same, he rolls a third fair six-sided die. Compute the probability that the sum of outcomes of all the dice he rolls is even.", "solution": "Answer: \\(\\frac{5}{12}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n3. [5]", "solution_match": "\nProposed by: Rishabh Das \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Jacob rolls two fair six-sided dice. If the outcomes of these dice rolls are the same, he rolls a third fair six-sided die. Compute the probability that the sum of outcomes of all the dice he rolls is even.", "solution": "There's a \\(\\frac{1}{2} - \\frac{1}{6} = \\frac{1}{3}\\) probability that he rolls an even number without getting doubles: whatever the first roll is, there is a \\(\\frac{1}{2}\\) chance that the second roll is of opposite parity, and we subtract the \\(\\frac{1}{6}\\) chance that the second roll is the same. \n\nThere's a \\(\\frac{1}{6} \\cdot \\frac{1}{2} = \\frac{1}{12}\\) probability that he gets doubles and then rolls an even number. \n\nSumming \\(\\frac{1}{3}\\) and \\(\\frac{1}{12}\\) gets us \\(\\left[\\frac{5}{12}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n3. [5]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle with side length 4. Across all points \\(P\\) inside triangle \\(\\triangle ABC\\) satisfying \\([PAB] + [PAC] = [PBC]\\) , compute the minimum possible length of \\(PA\\) . \n\n(Here, \\([XYZ]\\) denotes the area of triangle \\(\\triangle XYZ\\) .)", "solution": "Answer: \\(\\sqrt{3}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n4. [5]", "solution_match": "\nProposed by: Isabella Zhu \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle with side length 4. Across all points \\(P\\) inside triangle \\(\\triangle ABC\\) satisfying \\([PAB] + [PAC] = [PBC]\\) , compute the minimum possible length of \\(PA\\) . \n\n(Here, \\([XYZ]\\) denotes the area of triangle \\(\\triangle XYZ\\) .)", "solution": "![](data:image/jpeg;base64,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)\n \n\nThe area condition implies \\([ABC] = 2[PBC]\\) . Hence, \\(P\\) lies on the \\(A\\) - midline of \\(\\triangle ABC\\) . Therefore, the minimum possible value of \\(PA\\) is the distance from \\(A\\) to this midline. This is achieved by taking \\(P\\) to be the foot of the perpendicular from \\(A\\) to the \\(A\\) - midline. This distance is half the altitude of \\(ABC\\) , which has side length 4, so the answer is \\(\\frac{1}{2} (2\\sqrt{3}) = \\boxed{\\sqrt{3}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n4. [5]", "solution_match": "\nSolution:\n\n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle with side length 4. Across all points \\(P\\) inside triangle \\(\\triangle ABC\\) satisfying \\([PAB] + [PAC] = [PBC]\\) , compute the minimum possible length of \\(PA\\) . \n\n(Here, \\([XYZ]\\) denotes the area of triangle \\(\\triangle XYZ\\) .)", "solution": "![md5:69fadc0b114370291d5cfb809590a975](69fadc0b114370291d5cfb809590a975.jpeg)\n \n\nThe area condition implies \\([ABC] = 2[PBC]\\) . Hence, \\(P\\) lies on the \\(A\\) - midline of \\(\\triangle ABC\\) . Therefore, the minimum possible value of \\(PA\\) is the distance from \\(A\\) to this midline. This is achieved by taking \\(P\\) to be the foot of the perpendicular from \\(A\\) to the \\(A\\) - midline. This distance is half the altitude of \\(ABC\\) , which has side length 4, so the answer is \\(\\frac{1}{2} (2\\sqrt{3}) = \\boxed{\\sqrt{3}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n4. [5]", "solution_match": "\nSolution:\n\n\n"}} {"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Compute the largest possible radius of a circle contained in the region defined by \\(|x + |y||\\leq 1\\) in the coordinate plane.", "solution": "Answer: \\(\\boxed {2\\sqrt{2} - 2 = 2(\\sqrt{2} - 1)}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n5. [6]", "solution_match": "\nProposed by: Rishabh Das \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Compute the largest possible radius of a circle contained in the region defined by \\(|x + |y||\\leq 1\\) in the coordinate plane.", "solution": "![](data:image/jpeg;base64,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)\n \n\nAfter drawing the graph, it's clear that the circle should pass through \\((- 1,0)\\) and be tangent to \\(y = x - 1\\) and \\(y = - x + 1\\) . Letting the radius of this circle be \\(r\\) , we have \\(r\\sqrt{2} +r = 2\\) , so \\(\\boxed {r = 2\\sqrt{2} - 2}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n5. [6]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Compute the largest possible radius of a circle contained in the region defined by \\(|x + |y||\\leq 1\\) in the coordinate plane.", "solution": "![md5:2694b339b7413b14bf3ffd174cfea391](2694b339b7413b14bf3ffd174cfea391.jpeg)\n \n\nAfter drawing the graph, it's clear that the circle should pass through \\((- 1,0)\\) and be tangent to \\(y = x - 1\\) and \\(y = - x + 1\\) . Letting the radius of this circle be \\(r\\) , we have \\(r\\sqrt{2} +r = 2\\) , so \\(\\boxed {r = 2\\sqrt{2} - 2}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n5. [6]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle. Point \\(D\\) lies on segment \\(\\overline{BC}\\) such that \\(BD = 1\\) and \\(DC = 4\\) . Points \\(E\\) and \\(F\\) lie on rays \\(\\overrightarrow{AC}\\) and \\(\\overrightarrow{AB}\\) , respectively, such that \\(D\\) is the midpoint of \\(\\overline{EF}\\) . Compute \\(EF\\) .", "solution": "Answer: \\(\\boxed {2\\sqrt {13}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n6. [6]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkka\n\n\n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle. Point \\(D\\) lies on segment \\(\\overline{BC}\\) such that \\(BD = 1\\) and \\(DC = 4\\) . Points \\(E\\) and \\(F\\) lie on rays \\(\\overrightarrow{AC}\\) and \\(\\overrightarrow{AB}\\) , respectively, such that \\(D\\) is the midpoint of \\(\\overline{EF}\\) . Compute \\(EF\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(C^{\\prime}\\) be the reflection of \\(C\\) over \\(D\\) . Then, \\(\\overline{{E C}}\\parallel \\overline{{C^{\\prime}F}}\\) since \\(E C F C^{\\prime}\\) is a parallelogram. Thus, \\(B F C^{\\prime}\\) is an equilateral triangle, so \\(B F = B C^{\\prime} = 3\\) and \\(\\angle F B D = 120^{\\circ}\\) . By Law of Cosines, we get \\(D F = \\sqrt{3^{2} + 3\\cdot1 + 1^{2}} = \\sqrt{13}\\) and \\(E F = \\boxed {2\\sqrt {13}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n6. [6]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an equilateral triangle. Point \\(D\\) lies on segment \\(\\overline{BC}\\) such that \\(BD = 1\\) and \\(DC = 4\\) . Points \\(E\\) and \\(F\\) lie on rays \\(\\overrightarrow{AC}\\) and \\(\\overrightarrow{AB}\\) , respectively, such that \\(D\\) is the midpoint of \\(\\overline{EF}\\) . Compute \\(EF\\) .", "solution": "![md5:932a7555b8a60afcb53d5e3fcf9e922c](932a7555b8a60afcb53d5e3fcf9e922c.jpeg)\n \n\nLet \\(C^{\\prime}\\) be the reflection of \\(C\\) over \\(D\\) . Then, \\(\\overline{{E C}}\\parallel \\overline{{C^{\\prime}F}}\\) since \\(E C F C^{\\prime}\\) is a parallelogram. Thus, \\(B F C^{\\prime}\\) is an equilateral triangle, so \\(B F = B C^{\\prime} = 3\\) and \\(\\angle F B D = 120^{\\circ}\\) . By Law of Cosines, we get \\(D F = \\sqrt{3^{2} + 3\\cdot1 + 1^{2}} = \\sqrt{13}\\) and \\(E F = \\boxed {2\\sqrt {13}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n6. [6]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": null, "exam": "HMMT", "problem": "The number \n\n\\[\\frac{9^{9} - 8^{8}}{1001}\\] \n\nis an integer. Compute the sum of its prime factors.", "solution": "Answer: 231", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n7. [6]", "solution_match": "\nProposed by: Derek Liu \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": null, "exam": "HMMT", "problem": "The number \n\n\\[\\frac{9^{9} - 8^{8}}{1001}\\] \n\nis an integer. Compute the sum of its prime factors.", "solution": "Observe \n\n\\[{9^{9}-8^{8}=27^{6}-16^{6}}\\] \\[{=(27^{2}-16^{2})(27^{4}+27^{2}\\cdot16^{2}+16^{4})}\\] \\[{=(27-16)(27+16)(27^{2}-27\\cdot16+16^{2})(27^{2}+27\\cdot16+16^{2})}\\] \\[{=11\\cdot43\\cdot553\\cdot1417.}\\] \n\nThe remaining factorizations are motivated by the fact that \\(1001 = 7\\cdot 11\\cdot 13\\) . We see that \\(553 = 7\\cdot 79\\) and \\(1417 = 13\\cdot 109\\) , so the answer is \\(43 + 79 + 109 = \\boxed {231}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n7. [6]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "A checkerboard is a rectangular grid of cells colored black and white such that the top-left corner is black and no two cells of the same color share an edge. Two checkerboards are distinct if and only if they have a different number of rows or columns. For example, a \\(20 \\times 25\\) checkerboard and a \\(25 \\times 20\\) checkerboard are considered distinct. \n\nCompute the number of distinct checkerboards that have exactly 41 black cells.", "solution": "Answer: 9", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n8. [6]", "solution_match": "\nProposed by: Albert Wang \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "A checkerboard is a rectangular grid of cells colored black and white such that the top-left corner is black and no two cells of the same color share an edge. Two checkerboards are distinct if and only if they have a different number of rows or columns. For example, a \\(20 \\times 25\\) checkerboard and a \\(25 \\times 20\\) checkerboard are considered distinct. \n\nCompute the number of distinct checkerboards that have exactly 41 black cells.", "solution": "Since there is a black corner on the checkerboard, the number of white squares is at most the number of black squares. So, the board either has 40 or 41 white squares. Therefore, we want to compute the number of ordered pairs \\((r,c)\\) with a product of 81 or 82. Since \\(81 = 3^{4}\\) has 5 divisors and \\(82 = 41\\cdot 2\\) has 4 divisors, there are \\(\\boxed{9}\\) checkerboards with exactly 41 black cells.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n8. [6]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": null, "exam": "HMMT", "problem": "Let \\(P\\) and \\(Q\\) be points selected uniformly and independently at random inside a regular hexagon \\(ABCDEF\\) . Compute the probability that segment \\(\\overline{PQ}\\) is entirely contained in at least one of the quadrilaterals \\(ABCD\\) , \\(BCDE\\) , \\(CDEF\\) , \\(DEFA\\) , \\(EFAB\\) , or \\(FABC\\) .", "solution": "Answer: \\(\\boxed{5}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n9. [7]", "solution_match": "\nProposed by: Isabella Zhu \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": null, "exam": "HMMT", "problem": "Let \\(P\\) and \\(Q\\) be points selected uniformly and independently at random inside a regular hexagon \\(ABCDEF\\) . Compute the probability that segment \\(\\overline{PQ}\\) is entirely contained in at least one of the quadrilaterals \\(ABCD\\) , \\(BCDE\\) , \\(CDEF\\) , \\(DEFA\\) , \\(EFAB\\) , or \\(FABC\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(O\\) be the center of the hexagon. Without loss of generality, assume \\(P\\) is in \\(\\triangle ABO\\) . Then, segment \\(PQ\\) is entirely contained in one of the given quadrilaterals if and only if \\(Q\\) is not in \\(\\triangle DEO\\) . The probability that \\(Q\\) is in \\(\\triangle DEO\\) is \\(\\frac{|DEO|}{|ABCDEF|} = \\frac{1}{6}\\) , so the answer is \\(\\boxed{5}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n9. [7]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": null, "exam": "HMMT", "problem": "Let \\(P\\) and \\(Q\\) be points selected uniformly and independently at random inside a regular hexagon \\(ABCDEF\\) . Compute the probability that segment \\(\\overline{PQ}\\) is entirely contained in at least one of the quadrilaterals \\(ABCD\\) , \\(BCDE\\) , \\(CDEF\\) , \\(DEFA\\) , \\(EFAB\\) , or \\(FABC\\) .", "solution": "![md5:0d46ba45e4b43766265ed8aab827c8da](0d46ba45e4b43766265ed8aab827c8da.jpeg)\n \n\nLet \\(O\\) be the center of the hexagon. Without loss of generality, assume \\(P\\) is in \\(\\triangle ABO\\) . Then, segment \\(PQ\\) is entirely contained in one of the given quadrilaterals if and only if \\(Q\\) is not in \\(\\triangle DEO\\) . The probability that \\(Q\\) is in \\(\\triangle DEO\\) is \\(\\frac{|DEO|}{|ABCDEF|} = \\frac{1}{6}\\) , so the answer is \\(\\boxed{5}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n9. [7]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": null, "exam": "HMMT", "problem": "A square of side length 1 is dissected into two congruent pentagons. Compute the least upper bound of the perimeter of one of these pentagons.", "solution": "Answer: \\(\\boxed{2 + 3\\sqrt{2}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n10. [7]", "solution_match": "\nProposed by: Isabella Zhu \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": null, "exam": "HMMT", "problem": "A square of side length 1 is dissected into two congruent pentagons. Compute the least upper bound of the perimeter of one of these pentagons.", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(P_{1}\\) and \\(P_{2}\\) be the two congruent pentagons. Let \\(p(P)\\) denote the perimeter of polygon \\(P\\) .\n\n\n\nWe give an upper bound for \\(p(P_{1}) + p(P_{2})\\) . Note that since a square has four sides, at least four sides of \\(P_{1}\\) and \\(P_{2}\\) combined lie on the sides of the square. These sides have total length at most 4, the perimeter of \\(ABCD\\) . \n\nEach of the remaining sides has length at most \\(\\sqrt{2}\\) , since the longest possible length of a segment inside \\(ABCD\\) is \\(\\sqrt{2}\\) . There are at most 6 remaining sides, so \n\n\\[p(P_{1}) + p(P_{2})\\leq 4 + 6\\sqrt{2}.\\] \n\nSince \\(P_{1}\\) and \\(P_{2}\\) are congruent, this implies \n\n\\[p(P_{1}) = p(P_{2})\\leq \\boxed {2 + 3\\sqrt{2}}.\\] \n\nThis least upper bound can be achieved by placing \\(X\\) close to \\(C\\) and \\(Y\\) close to \\(A\\) , as seen in the diagram.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n10. [7]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": null, "exam": "HMMT", "problem": "A square of side length 1 is dissected into two congruent pentagons. Compute the least upper bound of the perimeter of one of these pentagons.", "solution": "![md5:a779607648888b3176dd8192def6d28b](a779607648888b3176dd8192def6d28b.jpeg)\n \n\nLet \\(P_{1}\\) and \\(P_{2}\\) be the two congruent pentagons. Let \\(p(P)\\) denote the perimeter of polygon \\(P\\) .\n\n\n\nWe give an upper bound for \\(p(P_{1}) + p(P_{2})\\) . Note that since a square has four sides, at least four sides of \\(P_{1}\\) and \\(P_{2}\\) combined lie on the sides of the square. These sides have total length at most 4, the perimeter of \\(ABCD\\) . \n\nEach of the remaining sides has length at most \\(\\sqrt{2}\\) , since the longest possible length of a segment inside \\(ABCD\\) is \\(\\sqrt{2}\\) . There are at most 6 remaining sides, so \n\n\\[p(P_{1}) + p(P_{2})\\leq 4 + 6\\sqrt{2}.\\] \n\nSince \\(P_{1}\\) and \\(P_{2}\\) are congruent, this implies \n\n\\[p(P_{1}) = p(P_{2})\\leq \\boxed {2 + 3\\sqrt{2}}.\\] \n\nThis least upper bound can be achieved by placing \\(X\\) close to \\(C\\) and \\(Y\\) close to \\(A\\) , as seen in the diagram.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n10. [7]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "11", "problem_type": null, "exam": "HMMT", "problem": "Let \\(f(n) = n^{2} + 100\\) . Compute the remainder when \\(f(f(\\dots f(f(1))\\dots))\\) is divided by \\(10^{4}\\) .", "solution": "Answer: 3101", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n11. [7]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "11", "problem_type": null, "exam": "HMMT", "problem": "Let \\(f(n) = n^{2} + 100\\) . Compute the remainder when \\(f(f(\\dots f(f(1))\\dots))\\) is divided by \\(10^{4}\\) .", "solution": "We claim that \\(f^{k}(n)\\equiv 1 + 100(2^{n} - 1)\\bmod 10^{4}\\) . We can see this by induction, as \n\n\\[f(1 + 100(2^{n} - 1)) = (1 + 100(2^{n} - 1))^{2} + 100\\] \\[\\qquad \\equiv 1 + 200(2^{n} - 1) + 100\\pmod {10^{4}}\\] \\[\\qquad \\equiv 1 + 100(2^{n + 1} - 1)\\pmod {10^{4}}.\\] \n\nThus, it suffices to compute \\(2^{2025}\\bmod 100\\) . We note that \\(2^{2025}\\equiv 0\\) (mod 4) and by Euler's Totient theorem, \\(2^{2025}\\equiv 2^{5}\\) (mod 25), so \\(2^{2025}\\equiv 32\\) (mod 100). Hence, we can compute \n\n\\[f^{2025}(1)\\equiv 1 + 100(31)\\equiv \\boxed {3101}\\bmod 10^{4}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n11. [7]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "12", "problem_type": null, "exam": "HMMT", "problem": "Holden has a collection of polygons. He writes down a list containing the measure of each interior angle of each of his polygons. He writes down the list \\(30^{\\circ}\\) , \\(50^{\\circ}\\) , \\(60^{\\circ}\\) , \\(70^{\\circ}\\) , \\(90^{\\circ}\\) , \\(100^{\\circ}\\) , \\(120^{\\circ}\\) , \\(160^{\\circ}\\) , and \\(x^{\\circ}\\) , in some order. Compute \\(x\\) .", "solution": "Answer: 220", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n12. [7]", "solution_match": "\nProposed by: Rishabh Das \n\n"}} @@ -25,10 +25,10 @@ {"year": "2025", "tier": "T4", "problem_label": "13", "problem_type": null, "exam": "HMMT", "problem": "A number is upwards if its digits in base 10 are nondecreasing when read from left to right. Compute the number of positive integers less than \\(10^{6}\\) that are both upwards and multiples of 11.", "solution": "Answer: 219", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n13. [9]", "solution_match": "\nProposed by: Srinivas Arun \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "13", "problem_type": null, "exam": "HMMT", "problem": "A number is upwards if its digits in base 10 are nondecreasing when read from left to right. Compute the number of positive integers less than \\(10^{6}\\) that are both upwards and multiples of 11.", "solution": "For a number \\(d_{5}d_{4}d_{3}d_{2}d_{1}d_{0}\\) (allowing leading 0s) to be upwards and a multiple of 11, we must have \n\n\\[d_{5}\\leq d_{4}\\leq d_{3}\\leq d_{2}\\leq d_{1}\\leq d_{0},\\] \n\n\\[d_{0} - d_{1} + d_{2} - d_{3} + d_{4} - d_{5}\\equiv 0\\pmod {11}.\\] \n\nNote that \\(d_{0} - d_{1}\\) , \\(d_{2} - d_{3}\\) , and \\(d_{4} - d_{5}\\) are all nonnegative. Thus, \n\n\\[0\\leq (d_{0} - d_{1}) + (d_{2} - d_{3}) + (d_{4} - d_{5})\\] \\[\\leq (d_{0} - d_{1}) + (d_{1} - d_{2}) + (d_{2} - d_{3}) + (d_{3} - d_{4}) + (d_{4} - d_{5})\\] \\[= d_{0} - d_{5}\\] \\[\\leq 9.\\] \n\nTherefore, \n\n\\[(d_{0} - d_{1}) + (d_{2} - d_{3}) + (d_{4} - d_{5}) = 0,\\] \n\nwhich can only occur when \\(d_{0} = d_{1}\\) , \\(d_{2} = d_{3}\\) , and \\(d_{4} = d_{5}\\) , i.e. the number is of the form \\(aabccc\\) . We can easily verify that all numbers of the form \\(aabccc\\) for digits \\(a \\leq b \\leq c\\) satisfy our conditions, so we simply have to count them. \n\nThere are \\(\\binom{12}{3} = 220\\) such triples of digits \\((a,b,c)\\) . However, one of these triples is \\((0,0,0)\\) , which corresponds to the number 0. Thus our answer is \\(220 - 1 = \\left\\lfloor \\frac{219}{2}\\right\\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n13. [9]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "14", "problem_type": null, "exam": "HMMT", "problem": "A parallelogram \\(P\\) can be folded over a straight line so that the resulting shape is a regular pentagon with side length 1. Compute the perimeter of \\(P\\) .", "solution": "Answer: \\(\\boxed{5 + \\sqrt{5}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n14. [9]", "solution_match": "\nProposed by: Arul Kolla \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "14", "problem_type": null, "exam": "HMMT", "problem": "A parallelogram \\(P\\) can be folded over a straight line so that the resulting shape is a regular pentagon with side length 1. Compute the perimeter of \\(P\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nIn regular pentagon \\(ABCDE\\) (labeled clockwise), reflect \\(ABDE\\) across \\(AB\\) to obtain \\(ABD'E'\\) . Then, \\(CDE'D'\\) is one such parallelogram \\(P\\) . The length of \\(CD'\\) is \n\n\\[CB + BD = 1 + 2\\cos \\angle CBD = 1 + 2\\cos (\\pi /5) = 1 + \\frac{\\sqrt{5} + 1}{2} = \\frac{\\sqrt{5} + 3}{2}.\\] \n\nHence, the perimeter of the desired parallelogram is \\(2\\left(1 + \\frac{\\sqrt{5} + 3}{2}\\right) = \\left\\lfloor \\frac{5 + \\sqrt{5}}{2}\\right\\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n14. [9]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "14", "problem_type": null, "exam": "HMMT", "problem": "A parallelogram \\(P\\) can be folded over a straight line so that the resulting shape is a regular pentagon with side length 1. Compute the perimeter of \\(P\\) .", "solution": "![md5:49af5caed6e82e485305f9f5f5390039](49af5caed6e82e485305f9f5f5390039.jpeg)\n \n\nIn regular pentagon \\(ABCDE\\) (labeled clockwise), reflect \\(ABDE\\) across \\(AB\\) to obtain \\(ABD'E'\\) . Then, \\(CDE'D'\\) is one such parallelogram \\(P\\) . The length of \\(CD'\\) is \n\n\\[CB + BD = 1 + 2\\cos \\angle CBD = 1 + 2\\cos (\\pi /5) = 1 + \\frac{\\sqrt{5} + 1}{2} = \\frac{\\sqrt{5} + 3}{2}.\\] \n\nHence, the perimeter of the desired parallelogram is \\(2\\left(1 + \\frac{\\sqrt{5} + 3}{2}\\right) = \\left\\lfloor \\frac{5 + \\sqrt{5}}{2}\\right\\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n14. [9]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "15", "problem_type": null, "exam": "HMMT", "problem": "Right triangle \\(\\triangle DEF\\) with \\(\\angle D = 90^{\\circ}\\) and \\(\\angle F = 30^{\\circ}\\) is inscribed in equilateral triangle \\(\\triangle ABC\\) such that \\(D\\) , \\(E\\) , and \\(F\\) lie on segments \\(\\overline{BC}\\) , \\(\\overline{CA}\\) , and \\(\\overline{AB}\\) , respectively. Given that \\(BD = 7\\) and \\(DC = 4\\) , compute \\(DE\\) .", "solution": "Answer: \\(\\sqrt{13}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n15. [9]", "solution_match": "\nProposed by: Pitchayut Saengrungkonka \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "15", "problem_type": null, "exam": "HMMT", "problem": "Right triangle \\(\\triangle DEF\\) with \\(\\angle D = 90^{\\circ}\\) and \\(\\angle F = 30^{\\circ}\\) is inscribed in equilateral triangle \\(\\triangle ABC\\) such that \\(D\\) , \\(E\\) , and \\(F\\) lie on segments \\(\\overline{BC}\\) , \\(\\overline{CA}\\) , and \\(\\overline{AB}\\) , respectively. Given that \\(BD = 7\\) and \\(DC = 4\\) , compute \\(DE\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nFrom \\(\\angle E = 60^{\\circ}\\) , we get that \\(\\angle AEF = 120^{\\circ} - \\angle CED = \\angle CDE\\) . Therefore, \\(\\triangle AEF \\sim \\triangle CDE\\) . Since \\(EF:DE = 2:1\\) , the ratio of similarity must be \\(2:1\\) , so \\(AE = 2CD = 8\\) . Recall \\(ABC\\) has side length \\(7 + 4 = 11\\) , so \\(EC = 11 - 8 = 3\\) . Law of Cosines on \\(\\triangle CDE\\) gives \\(DE^2 = \\sqrt{3^2 + 4^2 - 3\\cdot 4} = \\sqrt{13}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n15. [9]", "solution_match": "\nSolution 1: \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "15", "problem_type": null, "exam": "HMMT", "problem": "Right triangle \\(\\triangle DEF\\) with \\(\\angle D = 90^{\\circ}\\) and \\(\\angle F = 30^{\\circ}\\) is inscribed in equilateral triangle \\(\\triangle ABC\\) such that \\(D\\) , \\(E\\) , and \\(F\\) lie on segments \\(\\overline{BC}\\) , \\(\\overline{CA}\\) , and \\(\\overline{AB}\\) , respectively. Given that \\(BD = 7\\) and \\(DC = 4\\) , compute \\(DE\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(\\odot (DEF)\\) meet \\(AC\\) again at point \\(X\\) . Then, \\(\\angle FXA = 180^{\\circ} - \\angle FXE = \\angle FDE = 90^{\\circ}\\) and \\(\\angle XDC = 180^{\\circ} - \\angle DCX - \\angle DXC = 120^{\\circ} - \\angle DXE = 120^{\\circ} - \\angle DFE = 90^{\\circ}\\) . It follows that \\(CX = 2CD = 8\\) , so \\(AX = 11 - CX = 3\\) , and \\(AF = 2AX = 6\\) . Thus, Law of Cosines on \\(\\triangle AEF\\) gives \\(EF = \\sqrt{8^2 + 6^2 - 8\\cdot 6} = 2\\sqrt{13}\\) , implying that \\(DE = \\sqrt{13}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n15. [9]", "solution_match": "\nSolution 2: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "15", "problem_type": null, "exam": "HMMT", "problem": "Right triangle \\(\\triangle DEF\\) with \\(\\angle D = 90^{\\circ}\\) and \\(\\angle F = 30^{\\circ}\\) is inscribed in equilateral triangle \\(\\triangle ABC\\) such that \\(D\\) , \\(E\\) , and \\(F\\) lie on segments \\(\\overline{BC}\\) , \\(\\overline{CA}\\) , and \\(\\overline{AB}\\) , respectively. Given that \\(BD = 7\\) and \\(DC = 4\\) , compute \\(DE\\) .", "solution": "![md5:ddd982a2b8a39ca0e846cc3a28985b3e](ddd982a2b8a39ca0e846cc3a28985b3e.jpeg)\n \n\nFrom \\(\\angle E = 60^{\\circ}\\) , we get that \\(\\angle AEF = 120^{\\circ} - \\angle CED = \\angle CDE\\) . Therefore, \\(\\triangle AEF \\sim \\triangle CDE\\) . Since \\(EF:DE = 2:1\\) , the ratio of similarity must be \\(2:1\\) , so \\(AE = 2CD = 8\\) . Recall \\(ABC\\) has side length \\(7 + 4 = 11\\) , so \\(EC = 11 - 8 = 3\\) . Law of Cosines on \\(\\triangle CDE\\) gives \\(DE^2 = \\sqrt{3^2 + 4^2 - 3\\cdot 4} = \\sqrt{13}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n15. [9]", "solution_match": "\nSolution 1: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "15", "problem_type": null, "exam": "HMMT", "problem": "Right triangle \\(\\triangle DEF\\) with \\(\\angle D = 90^{\\circ}\\) and \\(\\angle F = 30^{\\circ}\\) is inscribed in equilateral triangle \\(\\triangle ABC\\) such that \\(D\\) , \\(E\\) , and \\(F\\) lie on segments \\(\\overline{BC}\\) , \\(\\overline{CA}\\) , and \\(\\overline{AB}\\) , respectively. Given that \\(BD = 7\\) and \\(DC = 4\\) , compute \\(DE\\) .", "solution": "![md5:6bdde14db96ad51963d491cef9d82b2a](6bdde14db96ad51963d491cef9d82b2a.jpeg)\n \n\nLet \\(\\odot (DEF)\\) meet \\(AC\\) again at point \\(X\\) . Then, \\(\\angle FXA = 180^{\\circ} - \\angle FXE = \\angle FDE = 90^{\\circ}\\) and \\(\\angle XDC = 180^{\\circ} - \\angle DCX - \\angle DXC = 120^{\\circ} - \\angle DXE = 120^{\\circ} - \\angle DFE = 90^{\\circ}\\) . It follows that \\(CX = 2CD = 8\\) , so \\(AX = 11 - CX = 3\\) , and \\(AF = 2AX = 6\\) . Thus, Law of Cosines on \\(\\triangle AEF\\) gives \\(EF = \\sqrt{8^2 + 6^2 - 8\\cdot 6} = 2\\sqrt{13}\\) , implying that \\(DE = \\sqrt{13}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n15. [9]", "solution_match": "\nSolution 2: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "16", "problem_type": null, "exam": "HMMT", "problem": "The Cantor set is defined as the set of real numbers \\(x\\) such that \\(0 \\leq x < 1\\) and the digit 1 does not appear in the base-3 expansion of \\(x\\) . Two numbers are uniformly and independently selected at random from the Cantor set. Compute the expected value of their absolute difference. \n\n(Formally, one can pick a number \\(x\\) uniformly at random from the Cantor set by first picking a real number \\(y\\) uniformly at random from the interval \\([0,1)\\) , writing it out in binary, reading its digits as if they were in base- 3, and setting \\(x\\) to 2 times the result.)", "solution": "Answer: \\(\\boxed{\\frac{2}{5}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n16. [9]", "solution_match": "\nProposed by: Derek Liu \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "16", "problem_type": null, "exam": "HMMT", "problem": "The Cantor set is defined as the set of real numbers \\(x\\) such that \\(0 \\leq x < 1\\) and the digit 1 does not appear in the base-3 expansion of \\(x\\) . Two numbers are uniformly and independently selected at random from the Cantor set. Compute the expected value of their absolute difference. \n\n(Formally, one can pick a number \\(x\\) uniformly at random from the Cantor set by first picking a real number \\(y\\) uniformly at random from the interval \\([0,1)\\) , writing it out in binary, reading its digits as if they were in base- 3, and setting \\(x\\) to 2 times the result.)", "solution": "Let \\(d\\) be the expected value of the absolute difference. Observe that the Cantor set is made up of two smaller copies of itself, each scaled down by a factor of 3. There is a \\(\\frac{1}{2}\\) chance that the two selected numbers are in the same copy, in which case the expected value of their absolute difference is \\(\\frac{1}{3} d\\) . Otherwise, we can write them as \\(\\frac{2 + x}{3}\\) and \\(\\frac{y}{3}\\) for independently and uniformly randomly selected \\(x\\) and \\(y\\) in the Cantor set. Their difference is \\(\\frac{2 + (x - y)}{3}\\) , which by symmetry has expected value \\(\\frac{2}{3}\\) . Thus \n\n\\[d = \\frac{1}{2}\\cdot \\frac{1}{3} d + \\frac{1}{2}\\cdot \\frac{2}{3}\\Rightarrow d = \\left[\\frac{2}{5}\\right].\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n16. [9]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "17", "problem_type": null, "exam": "HMMT", "problem": "Let \\(f\\) be a quadratic polynomial with real coefficients, and let \\(g_{1}\\) , \\(g_{2}\\) , \\(g_{3}\\) , ... be a geometric progression of real numbers. Define \\(a_{n} = f(n) + g_{n}\\) . Given that \\(a_{1}\\) , \\(a_{2}\\) , \\(a_{3}\\) , \\(a_{4}\\) , and \\(a_{5}\\) are equal to 1, 2, 3, 14, and 16, respectively, compute \\(\\frac{g_{2}}{g_{1}}\\) .", "solution": "Answer: \\(\\boxed{\\frac{19}{10}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n17. [11]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} @@ -44,13 +44,13 @@ {"year": "2025", "tier": "T4", "problem_label": "22", "problem_type": null, "exam": "HMMT", "problem": "Let \\(a\\) , \\(b\\) , and \\(c\\) be real numbers such that \\(a^2(b + c) = 1\\) , \\(b^2(c + a) = 2\\) , and \\(c^2(a + b) = 5\\) . Given that there are three possible values for \\(abc\\) , compute the minimum possible value of \\(abc\\) .", "solution": "Answer: \\(\\frac{- 5 - \\sqrt{5}}{2}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n22. [12]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "22", "problem_type": null, "exam": "HMMT", "problem": "Let \\(a\\) , \\(b\\) , and \\(c\\) be real numbers such that \\(a^2(b + c) = 1\\) , \\(b^2(c + a) = 2\\) , and \\(c^2(a + b) = 5\\) . Given that there are three possible values for \\(abc\\) , compute the minimum possible value of \\(abc\\) .", "solution": "Let \\(x = abc\\) . Multiplying all equations together and simplifying gives \n\n\\[(abc)^2 (a + b)(b + c)(c + a) = 10,\\] \n\n\\[(abc)^2 \\left(a^2(b + c) + b^2(c + a) + c^2(a + b) + 2abc\\right) = 10,\\] \n\n\\[x^2 (1 + 2 + 5 + 2x) = 10,\\] \n\n\\[x^2 (x + 4) = 5.\\] \n\nThe resulting cubic factors as \\((x - 1)(x^2 + 5x + 5) = 0\\) . Therefore, the smallest possible value of \\(abc\\) is \\(\\frac{- 5 - \\sqrt{5^2 - 4\\cdot 5}}{2} = \\frac{- 5 - \\sqrt{5}}{2}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n22. [12]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "23", "problem_type": null, "exam": "HMMT", "problem": "Regular hexagon \\(ABCDEF\\) has side length 2. Circle \\(\\omega\\) lies inside the hexagon and is tangent to segments \\(\\overline{AB}\\) and \\(\\overline{AF}\\) . There exist two perpendicular lines tangent to \\(\\omega\\) that pass through \\(C\\) and \\(E\\) , respectively. Given that these two lines do not intersect on line \\(AD\\) , compute the radius of \\(\\omega\\) .", "solution": "Answer: \\(\\frac{3\\sqrt{3} - 3}{2} = \\frac{3}{2} (\\sqrt{3} - 1)\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n23. [12]", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "23", "problem_type": null, "exam": "HMMT", "problem": "Regular hexagon \\(ABCDEF\\) has side length 2. Circle \\(\\omega\\) lies inside the hexagon and is tangent to segments \\(\\overline{AB}\\) and \\(\\overline{AF}\\) . There exist two perpendicular lines tangent to \\(\\omega\\) that pass through \\(C\\) and \\(E\\) , respectively. Given that these two lines do not intersect on line \\(AD\\) , compute the radius of \\(\\omega\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(O\\) be the center of \\(\\omega\\) , and let the two tangent lines intersect at \\(P\\) . Note that \\(O\\) lies on the external angle bisector of \\(\\angle CPE\\) because the tangents are symmetric about line \\(PO\\) . Additionally, \\(O\\) lies on the perpendicular bisector of \\(CE\\) by symmetry. By Fact 5, \\(COPE\\) is cyclic and \\(\\angle COE = 90^{\\circ}\\) . To finish, observe that \\(\\angle COD = 45^{\\circ}\\) . Dropping the altitude \\(CH\\) down to \\(AD\\) gives \\(OH = CH = \\sqrt{3}\\) . So, \\(AO = AH - OH = 3 - \\sqrt{3}\\) . The desired answer is then \\(\\frac{\\sqrt{3}}{2} \\cdot AO = \\left[\\frac{3\\sqrt{3} - 3}{2}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n23. [12]", "solution_match": "\nSolution 1: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "23", "problem_type": null, "exam": "HMMT", "problem": "Regular hexagon \\(ABCDEF\\) has side length 2. Circle \\(\\omega\\) lies inside the hexagon and is tangent to segments \\(\\overline{AB}\\) and \\(\\overline{AF}\\) . There exist two perpendicular lines tangent to \\(\\omega\\) that pass through \\(C\\) and \\(E\\) , respectively. Given that these two lines do not intersect on line \\(AD\\) , compute the radius of \\(\\omega\\) .", "solution": "![md5:dcb968f470d9995223369f2d83efd4f0](dcb968f470d9995223369f2d83efd4f0.jpeg)\n \n\nLet \\(O\\) be the center of \\(\\omega\\) , and let the two tangent lines intersect at \\(P\\) . Note that \\(O\\) lies on the external angle bisector of \\(\\angle CPE\\) because the tangents are symmetric about line \\(PO\\) . Additionally, \\(O\\) lies on the perpendicular bisector of \\(CE\\) by symmetry. By Fact 5, \\(COPE\\) is cyclic and \\(\\angle COE = 90^{\\circ}\\) . To finish, observe that \\(\\angle COD = 45^{\\circ}\\) . Dropping the altitude \\(CH\\) down to \\(AD\\) gives \\(OH = CH = \\sqrt{3}\\) . So, \\(AO = AH - OH = 3 - \\sqrt{3}\\) . The desired answer is then \\(\\frac{\\sqrt{3}}{2} \\cdot AO = \\left[\\frac{3\\sqrt{3} - 3}{2}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n23. [12]", "solution_match": "\nSolution 1: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "23", "problem_type": null, "exam": "HMMT", "problem": "Regular hexagon \\(ABCDEF\\) has side length 2. Circle \\(\\omega\\) lies inside the hexagon and is tangent to segments \\(\\overline{AB}\\) and \\(\\overline{AF}\\) . There exist two perpendicular lines tangent to \\(\\omega\\) that pass through \\(C\\) and \\(E\\) , respectively. Given that these two lines do not intersect on line \\(AD\\) , compute the radius of \\(\\omega\\) .", "solution": "Another way to get \\(\\angle COE = 90^{\\circ}\\) is as follows. \n\nLet \\(\\omega\\) meet the tangents from \\(C\\) and \\(E\\) at \\(Q\\) and \\(R\\) , respectively. Observe \\(OC = OE\\) (as \\(O\\) lies on the perpendicular bisector of \\(CE\\) ) and \\(OQ = OR\\) , so \\(\\triangle OCQ \\stackrel{\\triangle}{=} \\triangle OER\\) . Then \\(\\angle COE = \\angle QOR = 90^{\\circ}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n23. [12]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "24", "problem_type": null, "exam": "HMMT", "problem": "For any integer \\(x\\) , let \n\n\\[f(x) = 100! \\left(1 + x + \\frac{x^{2}}{2!} + \\frac{x^{3}}{3!} + \\dots + \\frac{x^{100}}{100!}\\right).\\] \n\nA positive integer \\(a\\) is chosen such that \\(f(a) - 20\\) is divisible by \\(101^{2}\\) . Compute the remainder when \\(f(a + 101)\\) is divided by \\(101^{2}\\) .", "solution": "Answer: [1939]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n24. [12]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "24", "problem_type": null, "exam": "HMMT", "problem": "For any integer \\(x\\) , let \n\n\\[f(x) = 100! \\left(1 + x + \\frac{x^{2}}{2!} + \\frac{x^{3}}{3!} + \\dots + \\frac{x^{100}}{100!}\\right).\\] \n\nA positive integer \\(a\\) is chosen such that \\(f(a) - 20\\) is divisible by \\(101^{2}\\) . Compute the remainder when \\(f(a + 101)\\) is divided by \\(101^{2}\\) .", "solution": "By the binomial theorem, \n\n\\[(a + 101)^{n} \\equiv a^{n} + \\binom{n}{1} a^{n - 1}101 = a^{n} + 101na^{n - 1} \\pmod {101^{2}}.\\]\n\n\n\nUsing this gives (all congruences are modulo \\(101^{2}\\) ) \n\n\\[f(a + 101) = 100!\\sum_{n = 0}^{100}\\frac{(a + 101)^{n}}{n!}\\] \\[\\equiv 100!\\sum_{n = 0}^{100}\\left(\\frac{a^{n}}{n!} +\\frac{101n a^{n - 1}}{n!}\\right)\\] \\[\\equiv f(a) + 100!\\cdot 101\\sum_{n = 1}^{100}\\frac{a^{n - 1}}{(n - 1)!}\\] \\[\\equiv f(a) + 101f(a) - 100!\\cdot 101\\frac{a^{100}}{100!}\\] \\[\\equiv f(a) + 101(f(a) - 1)\\] \\[\\equiv 20 + 101(20 - 1) = \\boxed {1939}\\quad (\\mathrm{mod}101^{2}).\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n24. [12]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "24", "problem_type": null, "exam": "HMMT", "problem": "For any integer \\(x\\) , let \n\n\\[f(x) = 100! \\left(1 + x + \\frac{x^{2}}{2!} + \\frac{x^{3}}{3!} + \\dots + \\frac{x^{100}}{100!}\\right).\\] \n\nA positive integer \\(a\\) is chosen such that \\(f(a) - 20\\) is divisible by \\(101^{2}\\) . Compute the remainder when \\(f(a + 101)\\) is divided by \\(101^{2}\\) .", "solution": "The above solution can be viewed as a consequence of Hensel's lemma as follows. Because 101 is prime, for any integer \\(x\\) not divisible by 101, we have that \n\n\\[f^{\\prime}(x) = 100!\\left(1 + x + \\frac{x^{2}}{2!} +\\dots +\\frac{x^{99}}{99!}\\right) = f(x) - x^{100}\\equiv f(x) - 1\\pmod {101}.\\] \n\nClearly \\(101 \\nmid a\\) . Hence, by Hensel's lemma, we get that \n\n\\[f(a + 101) \\equiv f(a) + 101f^{\\prime}(a) \\equiv 20 + 101 \\cdot 19 \\equiv \\boxed {1939} \\pmod {101^{2}}.\\] \n\nRemark. All possible \\(a\\) 's are \\(a \\equiv 1012, 6670\\) , and 9885 (mod \\(101^{2}\\) ). They all lead to the same answer.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n24. [12]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "25", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a trapezoid such that \\(A B \\parallel C D\\) , \\(A D = 13\\) , \\(B C = 15\\) , \\(A B = 20\\) , and \\(C D = 34\\) . Point \\(X\\) lies inside the trapezoid such that \\(\\angle X A B = 2\\angle X B A\\) and \\(\\angle X D C = 2\\angle X C D\\) . Compute \\(X D - X A\\) .", "solution": "Answer: 4", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n25. [14]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "25", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a trapezoid such that \\(A B \\parallel C D\\) , \\(A D = 13\\) , \\(B C = 15\\) , \\(A B = 20\\) , and \\(C D = 34\\) . Point \\(X\\) lies inside the trapezoid such that \\(\\angle X A B = 2\\angle X B A\\) and \\(\\angle X D C = 2\\angle X C D\\) . Compute \\(X D - X A\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nConstruct point \\(P\\) on \\(A B\\) such that \\(X A = X P\\) and point \\(Q\\) on \\(C D\\) such that \\(X D = X Q\\) . The angle condition gives \\(Q C = X Q = X D\\) and \\(P B = X P = X A\\) . Moreover, \\(A D Q P\\) is an isosceles trapezoid.\n\n\n\nLet \\(S\\) be the projection of \\(A\\) onto \\(CD\\) , and let \\(T\\) be on \\(CD\\) such that \\(AT \\parallel BC\\) . Then \\(ADT\\) is a 13- 14- 15 triangle, so \\(DS = 5\\) . Therefore, \\(QD - PA = 10\\) . Finally, we get \n\n\\[XD - XA = QC - PB = (34 - QD) - (20 - PA) = 14 - 10 = \\boxed{4}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n25. [14]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "25", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a trapezoid such that \\(A B \\parallel C D\\) , \\(A D = 13\\) , \\(B C = 15\\) , \\(A B = 20\\) , and \\(C D = 34\\) . Point \\(X\\) lies inside the trapezoid such that \\(\\angle X A B = 2\\angle X B A\\) and \\(\\angle X D C = 2\\angle X C D\\) . Compute \\(X D - X A\\) .", "solution": "![md5:7a6b1d63c0cdadfc836209379f9acbdc](7a6b1d63c0cdadfc836209379f9acbdc.jpeg)\n \n\nConstruct point \\(P\\) on \\(A B\\) such that \\(X A = X P\\) and point \\(Q\\) on \\(C D\\) such that \\(X D = X Q\\) . The angle condition gives \\(Q C = X Q = X D\\) and \\(P B = X P = X A\\) . Moreover, \\(A D Q P\\) is an isosceles trapezoid.\n\n\n\nLet \\(S\\) be the projection of \\(A\\) onto \\(CD\\) , and let \\(T\\) be on \\(CD\\) such that \\(AT \\parallel BC\\) . Then \\(ADT\\) is a 13- 14- 15 triangle, so \\(DS = 5\\) . Therefore, \\(QD - PA = 10\\) . Finally, we get \n\n\\[XD - XA = QC - PB = (34 - QD) - (20 - PA) = 14 - 10 = \\boxed{4}.\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n25. [14]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "26", "problem_type": null, "exam": "HMMT", "problem": "Isabella has a bag with 20 blue diamonds and 25 purple diamonds. She repeats the following process 44 times: she removes a diamond from the bag uniformly at random, then puts one blue diamond and one purple diamond into the bag. Compute the expected number of blue diamonds in the bag after all 44 repetitions.", "solution": "Answer: \\(\\boxed{\\frac{173}{4}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n26. [14]", "solution_match": "\nProposed by: Henrick Rabinovitz, Srinivas Arun \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "26", "problem_type": null, "exam": "HMMT", "problem": "Isabella has a bag with 20 blue diamonds and 25 purple diamonds. She repeats the following process 44 times: she removes a diamond from the bag uniformly at random, then puts one blue diamond and one purple diamond into the bag. Compute the expected number of blue diamonds in the bag after all 44 repetitions.", "solution": "Let \\(a = 20\\) and \\(b = 25\\) be the initial numbers of blue and purple diamonds, respectively, and let \\(c = 44\\) be the number of times Isabella performs the operation. Suppose that at some point, the bag contains \\(x\\) blue diamonds and \\(y\\) purple diamonds, for \\(x + y = z\\) total diamonds. After one step, the bag will have \\(z + 1\\) diamonds. The expected change in the number of blue diamonds in this step is \\((- x / z) + 1 = y / z\\) , and likewise this quantity for purple diamonds is \\(x / z\\) . Thus, the expected change in the difference between the number of blue and purple diamonds is \\((y - x) / z\\) . Since this difference was initially \\(x - y\\) , the expected value of this difference is multiplied by \\((z - 1) / z\\) at each step (regardless of \\(x - y\\) ). Since \\(z\\) starts at \\(a + b\\) and ends at \\(a + b + c\\) , the expected difference after \\(c\\) operations is \n\n\\[(a - b)\\cdot \\prod_{z = a + b}^{a + b + c - 1}\\frac{z - 1}{z} = \\frac{(a + b - 1)(a - b)}{(a + b + c - 1)},\\] \n\nand as the total number of diamonds is \\(a + b + c\\) , the expected number of blue diamonds at the end is \n\n\\[\\frac{a + b + c}{2} +\\frac{(a + b - 1)(a - b)}{2(a + b + c - 1)}.\\] \n\nPlugging in \\(a = 20\\) , \\(b = 25\\) , and \\(c = 44\\) gives us the answer, \\(\\boxed{\\frac{173}{4}}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n26. [14]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "27", "problem_type": null, "exam": "HMMT", "problem": "Compute the number of ordered pairs \\((m, n)\\) of odd positive integers both less than 80 such that \n\n\\[\\gcd (4^{m} + 2^{m} + 1,4^{n} + 2^{n} + 1) > 1.\\]", "solution": "Answer: \\(\\boxed{820}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n27. [14]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkha \n\n"}} @@ -59,13 +59,13 @@ {"year": "2025", "tier": "T4", "problem_label": "28", "problem_type": null, "exam": "HMMT", "problem": "Let \\(f\\) be a function from nonnegative integers to nonnegative integers such that \\(f(0) = 0\\) and \n\n\\[f(m) = f\\left(\\left\\lfloor \\frac{m}{2}\\right\\rfloor\\right) + \\left\\lceil \\frac{m}{2}\\right\\rceil^{2}\\] \n\nfor all positive integers \\(m\\) . Compute \n\n\\[\\frac{f(1)}{1\\cdot2} +\\frac{f(2)}{2\\cdot3} +\\frac{f(3)}{3\\cdot4} +\\dots +\\frac{f(31)}{31\\cdot32}.\\] \n\n(Here, \\(\\lfloor z\\rfloor\\) is the greatest integer less than or equal to \\(z\\) , and \\(\\lceil z\\rceil\\) is the least positive integer greater than or equal to \\(z\\) .)", "solution": "For all positive integers \\(n\\) , let \\(\\omega (n) = f(n) - f(n - 1)\\) . We claim that \\(\\omega (n)\\) is the largest odd divisor of \\(n\\) for all \\(n > 0\\) . Indeed, for all positive integers \\(k\\) , we have \n\n\\[\\omega (2k) = f(2k) - f(2k - 1) = f(k) + k^{2} - (f(k - 1) + k^{2}) = f(k) - f(k - 1) = \\omega (k)\\] \n\nand \n\n\\[\\omega (2k + 1) = f(2k + 1) - f(2k) = f(k) + (k + 1)^{2} - (f(k) + k^{2}) = 2k + 1.\\] \n\nInducting on the positive integers implies that \\(\\omega (n)\\) is indeed the largest odd divisor of \\(n\\) . \n\nWe can now rewrite the sum as \n\n\\[\\sum_{n = 1}^{31}\\frac{f(n)}{n(n + 1)} = \\sum_{n = 1}^{31}\\left(\\frac{f(n)}{n} -\\frac{f(n)}{n + 1}\\right) = \\left(\\sum_{n = 1}^{30}\\frac{f(n) - f(n - 1)}{n}\\right) - \\frac{f(31)}{32}.\\] \n\nNote that by using the original recursive definition, we can compute \n\n\\[f(31) = 16^{2} + 8^{2} + 4^{2} + 2^{2} + 1^{2} = 341.\\] \n\nMoreover, we also see that \\(\\frac{f(n) - f(n - 1)}{n} = \\frac{\\omega(n)}{n} = 2^{-\\nu_{2}(n)}\\) , where \\(2^{\\nu_{2}(n)}\\) is the largest power of 2 dividing \\(n\\) . Thus, our desired sum is \n\n\\[\\left(\\sum_{n = 1}^{31}2^{-\\nu_{2}(n)}\\right) - \\frac{341}{32} = 16\\cdot 2^{-0} + 8\\cdot 2^{-1} + 4\\cdot 2^{-2} + 2\\cdot 2^{-3} + 1\\cdot 2^{-4} - \\frac{341}{32} = \\left\\lfloor \\frac{341}{32}\\right\\rfloor\\]", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n28. [14]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "28", "problem_type": null, "exam": "HMMT", "problem": "Let \\(f\\) be a function from nonnegative integers to nonnegative integers such that \\(f(0) = 0\\) and \n\n\\[f(m) = f\\left(\\left\\lfloor \\frac{m}{2}\\right\\rfloor\\right) + \\left\\lceil \\frac{m}{2}\\right\\rceil^{2}\\] \n\nfor all positive integers \\(m\\) . Compute \n\n\\[\\frac{f(1)}{1\\cdot2} +\\frac{f(2)}{2\\cdot3} +\\frac{f(3)}{3\\cdot4} +\\dots +\\frac{f(31)}{31\\cdot32}.\\] \n\n(Here, \\(\\lfloor z\\rfloor\\) is the greatest integer less than or equal to \\(z\\) , and \\(\\lceil z\\rceil\\) is the least positive integer greater than or equal to \\(z\\) .)", "solution": "From the original recursion, for all positive integers \\(n\\) , we have \n\n\\[\\frac{f(2n)}{2n(2n + 1)} = \\frac{f(n) + n^{2}}{2n(2n + 1)} = \\frac{f(n)}{2n(2n + 1)} +\\frac{n}{2(2n + 1)}\\]\n\n\n\nand \n\n\\[\\frac{f(2n + 1)}{(2n + 1)(2n + 2)} = \\frac{f(n) + (n + 1)^{2}}{(2n + 1)(2n + 2)} = \\frac{f(n)}{(2n + 1)(2n + 2)} +\\frac{n + 1}{2(2n + 1)}.\\] \n\nAdding these two equations gives \n\n\\[\\frac{f(2n)}{2n(2n + 1)} +\\frac{f(2n + 1)}{(2n + 1)(2n + 2)} = \\frac{f(n)}{2n(n + 1)} +\\frac{1}{2}.\\] \n\nThus, if \\(T(n) = \\sum_{k = 1}^{n} \\frac{f(k)}{k(k + 1)}\\) , we have \n\n\\[T(2n + 1) = \\sum_{k = 1}^{2n + 1}\\frac{f(k)}{k(k + 1)}\\] \\[\\qquad = \\frac{f(1)}{1(2)} +\\sum_{m = 1}^{n}\\left(\\frac{f(2m)}{2m(2m + 1)} +\\frac{f(2m + 1)}{(2m + 1)(2m + 2)}\\right)\\] \\[\\qquad = \\frac{1}{2} +\\sum_{m = 1}^{n}\\left(\\frac{f(m)}{2m(m + 1)} +\\frac{1}{2}\\right)\\] \\[\\qquad = \\frac{n + 1}{2} +\\frac{1}{2} T(n).\\] \n\nStarting from \\(T(1) = 1\\) , we can compute \\(T(3) = \\frac{5}{4}\\) , \\(T(7) = \\frac{21}{8}\\) , \\(T(15) = \\frac{85}{16}\\) , and finally, \\(T(31) = \\left\\lfloor \\frac{341}{32} \\right\\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n28. [14]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "29", "problem_type": null, "exam": "HMMT", "problem": "Points \\(A\\) and \\(B\\) lie on circle \\(\\omega\\) with center \\(O\\) . Let \\(X\\) be a point inside \\(\\omega\\) . Suppose that \\(XO = 2\\sqrt{2}\\) , \\(XA = 1\\) , \\(XB = 3\\) , and \\(\\angle AXB = 90^{\\circ}\\) . Points \\(Y\\) and \\(Z\\) are on \\(\\omega\\) such that \\(Y \\neq A\\) and triangles \\(\\triangle AXB\\) and \\(\\triangle YXZ\\) are similar with the same orientation. Compute \\(XY\\) .", "solution": "Answer: \\(\\frac{11}{5}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n29. [16]", "solution_match": "\nProposed by: Ethan Liu \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "29", "problem_type": null, "exam": "HMMT", "problem": "Points \\(A\\) and \\(B\\) lie on circle \\(\\omega\\) with center \\(O\\) . Let \\(X\\) be a point inside \\(\\omega\\) . Suppose that \\(XO = 2\\sqrt{2}\\) , \\(XA = 1\\) , \\(XB = 3\\) , and \\(\\angle AXB = 90^{\\circ}\\) . Points \\(Y\\) and \\(Z\\) are on \\(\\omega\\) such that \\(Y \\neq A\\) and triangles \\(\\triangle AXB\\) and \\(\\triangle YXZ\\) are similar with the same orientation. Compute \\(XY\\) .", "solution": "Consider a rotation about \\(X\\) by \\(90^{\\circ}\\) followed by a homothety with ratio \\(\\frac{1}{3}\\) that sends \\(B\\) to \\(A\\) . This sends \\(\\omega\\) to \\(\\omega^{\\prime}\\) with radius \\(\\frac{1}{3}\\) of the radius of \\(\\omega\\) and center \\(O^{\\prime}\\) . Since \\(A\\) is the image of \\(B\\) under this rotation, we know \\(A\\) lies on both circles; the same argument shows \\(Y\\) must lie on both circles. Thus, \\(Y\\) is the reflection of \\(A\\) over \\(OO^{\\prime}\\) . In particular, this means that \\(XY = AX^{\\prime}\\) , where \\(X^{\\prime}\\) is the reflection of \\(X\\) over \\(OO^{\\prime}\\) . \n\nLet \\(M\\) be the midpoint of \\(AB\\) . Note that because \\(\\triangle OXO^{\\prime} \\sim \\triangle BXA\\) , we also have \\(\\triangle XOX^{\\prime} \\sim \\triangle XMA\\) , as they are both isosceles and \\(\\angle XOX^{\\prime} = 2\\angle XOO^{\\prime} = 2\\angle XBA = \\angle XMA\\) . This implies that \\(\\triangle XOM \\sim \\triangle XX^{\\prime}A\\) . Thus, we know that \\(AX^{\\prime} = OM \\cdot \\frac{XA}{XM} = \\frac{2}{\\sqrt{10}} OM\\) . It remains to compute \\(OM\\) ; noting that the distance between \\(O\\) and the foot from \\(X\\) to \\(AB\\) is \\(\\frac{2}{5}\\sqrt{10}\\) , and that the altitude of \\(\\triangle AXY\\) has length \\(\\frac{3}{10}\\sqrt{10}\\) , we get that the distance from \\(O\\) to \\(AB\\) is \n\n\\[\\frac{3}{10}\\sqrt{10} +\\sqrt{\\left(2\\sqrt{2}\\right)^{2} - \\left(\\frac{2}{5}\\sqrt{10}\\right)^{2}} = \\frac{11}{10}\\sqrt{10}\\] \n\nby the Pythagorean theorem, which means that \\(XY = AX^{\\prime} = \\left\\lfloor \\frac{11}{5} \\right\\rfloor\\) .\n\n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIrAc4DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKOlYVz4x0KCdraK9+23K8NBYRtcyKfQiMHb+OKAN2iue/tzW7r/jw8MTovaTUbqO3U/gnmMPxUUvleMLjrd6JY56hbeW5I/EvH/KgDoKK5/+xtfk/wBb4qlT/r3sYV/9DD0f8I9qh6+Mtb/CGy/+R6AOgorn/wCwdYX7ni/VG/6621oR/wCOwrR/Z/imH/U+ILCb2utMJJ/FJVx+VAHQUVz32rxZbH97pWl3qD+K3vHic/RHQj/x+k/4S6K1/wCQtpGrab6vLbedGPq8JdQPckUAdFRVPTtW07V4PP06+truIcFoJQ4B9Dg8GrlABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRTZJEijaSR1RFBZmY4AA7k1zn9t6hr3yeG40S0Jw2q3KExkf9MU4Mn+8cL6FulAGxqerafo1r9p1G7itoidqlzyzdlUdWPsMmsn+1Ne1fjSdNWwtj0vNUUhiPVYAQ3/AH2yH2NW9N8N2On3P22Qy3upEYa+u23y47heMIv+ygA9q2KAOdHhC2uzv1y8u9Yc8mO5fbAPYQphCP8AeDH3rdt7aC0gWC2hjhhQYWONAqj6AVLRQAUUUUAFFFFABRRRQAUUUUAZOo+GtH1ScXFzYxi6H3bqEmKdfpIhDD86pf2b4h0oZ03VE1KAf8uuqDD49FnQZH/Alc+9dHRQBg23iq0+1R2WqwTaTfSHakV4AElPpHICUc+wO71AreqG6tLa+tpLa7t4riCQYeKVAysPQg8GsH+xtT0L59AufPtB10y9kJUD/plKcsn+6dy9ht60AdJRWXpWvWmqyS26iS2voQDPZXC7ZY/cjoV9GUlT2NalABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVDVdXtNGtRNdMxZ22QwxrukmfsiKOWP/6zgAmota1uPSIoo0ha6v7lilrZxnDzN35/hUdWY8AfgDBpGhyQXR1XVpUu9YkXaZFH7u3Q/wDLOIHovqerYyewABUj0S81+RLrxIqrbghodIRt0SehmPSVvb7g7BiN1dMAAMAYAoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDN1fQrPWUjM4eK5hJa3uoG2TQN6q38wcg9CCKzrbWbzSLuLTvERTEjBLbU0XbFOT0Vx/yzkPp91uxz8o6Oobq0t760ltbuGOe3lUpJHIoZWB7EGgCaiuWS5uPCEyW9/NJcaDIwSC8lYs9mTwElY9U7CQ8jo396upoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACs7WtYi0ayErRvPcSuIra2j+/PIeir+RJPQAEngVbu7u3sLOa7upVht4UMkkjHAVQMkmsPQ7K41C+PiPVIXjuJEKWVrJ1tID6j/no+AW9OF7HIBY0PRpbSWXU9TkS41i6UCaVfuRJ1EUeeiD82PJ9tqiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAZLFHPC8M0ayRSKVdHGQwPBBHcVzVnJJ4Tv4dLuXZ9FuHEdhcOcm2c9IHJ/hP8AAx/3Tztz1FV76yttSsZrK8hWa2nQpJG3RgaALFFc/od5c2d7J4f1OVpbmFPMtLl+t1ADjJ/21JCt9Vb+LA6CgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiisnxFqkmlaSz2qLJfTutvZxN0eZ+Fz7Dlj6KpNAGfdAeJfEP2D72laVIsl16T3PDJH7qgw5/2ig7EV01UNF0qPRdJgsY3aQoC0kz/elkY7ndvdmJJ+tX6ACiiigAooooAKiuXiitZpJ2CwqhZyTjCgc/pTpJY4U3yyKijuxwK5vxNrVtJpclpZ6lom+b93MLzUBCBGT8wGFbkrkdsZzQBmeBbifTpPENjqE87fZ5obsCZ2cxrNAjFFzk4Dq4AqTQFudW8f69fXcs3lWCQWsMAlby45Cpkf5QcFgrxgnnnNVZNW8Ow+LbzW/wDhK9AEc9nbobR9RjUPPE0hDM2fugOMcHkA9qPB3iHQtKsr8aj4o8NNd3l/NeSNbaqkiku2QOQpGFCr+FAHoFFZUfifQJv9VrmmSf7t3Gf61oQ3VvcjME8Uo9UcN/KgCWiiigAooooAKKKKACiobuQQ2c8plEISNmMhGQgAznHtXDW/iLXo/hpH4pvL2zjupLT7THbNanbIWyY4xht25htHHc9D0oA7+iq9jPLc6fbTz27W80sSvJCxyY2IBKn6HirFABRRRQAUUUUAZPiDSZNTskktJFh1K0fz7KY9FkAIwf8AZYEqw9Ce+Km0XVY9a0qK8SNonOUmgf70MqnDo3uGBH61oVzU4/sDxZHdL8thrLCGcdo7oDEb/wDA1Gw+6x+tAHS0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcp478S3Xh3R/tFgiNLHNA1wzDIjhaZEJ+pyQPox7V0OoX0em2Ml1JFczKgz5dtA80jewVQSa4Txpo95qPw71idZ9TkvNRgEosobXed+AUj2+X5gA2gckc5JxmgD0Wuctv8Aic+Mri6PzWmjqbaH0a5cAyN/wFCqg+ruKw/G/wAT7bwX4ZsNRksZbi9vcCOzkzAy8fMWDDIAPHTnNc74P+I7XHhezj0/TpopHDSXN7d280iPOzFpGRYUYvly3BZKAPYazNR8Q6PpDiO/1K2gmb7sLSAyN/uoPmP4CuOGpabendrOteI74HrBa6TeWsH0xHHvI9mdq09O13wrpCFNM0fULUN97yfD90hY+58oEn3NOzA0B4nnuzjS/D2q3SnpLNELWP8AHzSr/kpo/wCKvu+n9jaYp9fMvGH/AKKAP5/jTf8AhNdO7WOtH/uE3A/mlJ/wmdn20zWj/wBw2UfzFFmBJ/wj+pzj/TfFOpMO6WscMC/nsLj/AL6o/wCEM0lx/pL6ld+v2nUriRT/AMBL7f0qP/hMoO2ja2f+3Fh/M0n/AAmK9tB1s/8Abso/m1FmBPH4J8LRPvHh3S2f++9ojt+ZBNaEWjaXD/qtNs4/9yBR/Ssj/hL37eG9cP8A2yiH85KP+EtuO3hbXD/4DD+c1HK+wHRJFHGMJGi/7q4pzIrjDKD9RXiPjz4yeI/D3imw0+w8PmCGSNZGhvkVpZyWIwpjdlA446nPt19JHirUSOPCOrD/AHp7T/49RZgbcul6fN/rbC1k/wB6FT/Ss+fwd4YuW3T+HdJkb+81nHkfjjNVP+En1U9PCl//AMCubf8A+OUn/CSayenha4/4FeQ/40+V9gJ/+EK0JP8Aj3t7m0/6872eD/0BxQPDV1B/x5eJdZg/2ZJI7hT9fNRm/IioP+Ei109PDBH+9fxj+QNJ/b/iE9PDUH/AtSH/AMRRyS7AT/Z/F1qf3eoaTqCDos9s9u5+rqzD/wAcoOv6taf8hHwzeBe8thMlyg/D5ZD+CVB/bviU9PDtiP8Ae1Q//GaP7a8Unp4f0r8dXf8A+R6OSXYC9aeLdCvJ1txqCQXLdLa7VreU/wDAJArfpW1XIXd34h1C3a3vPDXh+eFvvRzanJIp/A22K5jUotU0CJJrNbLQyzbYobPVJpFkb+6lu0DKT7IuaOSQHV/ES4uh4L1Cxsbe7mu7+P7LGLa2kl2hyEdjsBwArE8+nFZOvaXBdabY6f4V0ma11SKaHyL82L24tEVl3Mzsq7gVBXaM7s9MVxHhnWPi2vxDM2rabqVzpuCZ7YRJHEY8Hb5Zbau7ODjIJ6GvX7DxRpV/dCz857W/P/LneIYZj9FbG4e65HvUgbNFFFABRRRQAUUUUAFUdZ0yPWdHutPlYoJkwsi/ejccq491YBh7ir1FAGV4c1OXVtEhnuUEd4haC6jHRJkJVwPbIJHqCDWrXO2//Er8b3Nv0t9Xg+1J6CeLakn/AH0hiP8AwBjXRUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVm6rrtjo4jS4dnuZs+RawqZJpiP7qDk+56DuRWZ9i1zXxnUZn0ewb/lztJf8ASHH/AE0mH3PpHz/t9qALuoeJLCxujZRCW+1HGfsVmvmSDPQtzhB7uVHvVT7H4i1jm+vF0e1P/LtYkPOw/wBqZhhfoi5HZq2NO0ux0i0Frp9rFbQglisa4yT1JPUk9yeTVugDgvEHg/w9dXWj6B/ZUEi3ly11dySgvLJHChyWkYlyS7xrknoxFZ+iaBFoOsXnhu3lexmgBudPni+7PbM33XU8OY2Owk/NgocjNdZZ/wCmeO9TuDythaQ2iH0dyZJP/HfJpnjHSLm9sINS0xA2r6W5ubQdPNGMSQk+jrkfXae1TJXN6FV05adSsdUuNP8Al1i3EcY/5fIMtCf94dU/HI961EkSWNZI3V0YZVlOQR7GotL1K11nSrbUbN99vcxh0J6jPYjsQeCOxBqpLoggkabSZ/sMpOWjC7oXPunb6rg/WqjWlHfVfibSpUqn91/h/mvx9EaVFZS6w1q4i1eD7G5OFm3boHPs/wDCfZse2a1QcjI6V0xnGexy1KM6T95f5fJhRRRVmQVHcTxWtvJcTuEijUu7HsB1qSsm4H9q6stiObS0Ky3Po79Uj/8AZj/wH1rOpPkjc2oUvaTs9lq/T+tF5mf9kdr7SNTvItt3dXxIVhzDH9nm2J+Gcn3Jrpqz9Z/4+tHPpe/+0Za0Kyw2z9f0R0Y2XPyS8v1YUUUV0nCFFFFABUc88NrA89xKkUMY3PJIwVVHqSelZUuutdXMlloVqdSu0O2R1fbbwH/ppLgjP+yoZvYdauWfhNZZ473X7gandI2+OIpttoD22R5OSP7zFj6Y6VnKaQ7FGK+1TX+NCgEFmeup3kZCkf8ATKPhn/3jtXuC3StrSfDdjpUzXeZLvUHG2S9uiHlYegOAEX/ZUAe1bFFYyk5bjCq1/p1lqlq1tqFpBdQN1jmjDr9cHvVmipA5w6Dqel/NoOqv5Q/5cdRLTxfRXz5ifmwHZakh8UxW8qW+u2smkXDEKrTMGt5D6JMPl+gbax9K36ZNDFcQvDPGksTgq6OoZWB7EHqKAH9aK5v/AIR680bMnhq7WGIcnTLpi1sfZDy0P/AcqP7tWtO8SQXV2un30Eum6mQSLW5x+8x1Mbj5ZB9DkdwKANqiiigAooooA57xh/oum2usLw2lXUd0x9IuUl/8hu5+oFdDVe/s4tR065spxmG4iaFx6qwIP6Gs7wleS33hPTJrg5uRAIpz/wBNU+R//HlNAGzRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWfq2s2ei2yzXbsWkbZDDEpeWZ+yoo5Y/wAupwOaALzukUbSSMqIoLMzHAAHUk1zZ1nUPEJMfh0LDY5w2rTplWH/AEwQ/wCs/wB8/J6b+lEejXviB1ufEarHaghotIRt0Y9DOw4kb/Z+4P8AaIDV0oAUAAAAcACgDN0nQbHR/MkhV5bubHn3lw2+aY/7THt6KMAdgK06KKACiiigDn/Cg82PV77OTd6pcHPtEwgH6Qiugrn/AAP83gvS5v8An4iNyf8Atoxf/wBmroKAOJjj/wCEY8YSWJ+XStadri1PaG6xmWP2DjMg9w9dJUfiTRE8QaJNYmQwz5EttcKPmgmU7kcfRgPqMjvWb4c1d9Z0kS3EQgvoHa3vYAf9VOnDr9O4PcEHvUNWZ0wlzRNR0WRGR1DKwwVYZBFZLaNNYnfo9wIF72kuWhP07p/wHj2NbFFK3U2jUlFW6duhkQ6wgnW2v4WsbpjhVlOUkP8AsP0b6cH2rSpZ7eG6gaG4iSWJxhkdQwP1BrKOm3unfNpc/mwj/l0unJA/3H5K/Q5H0raNZr4tSJUKdT4PdfZ7fJ9Pn95Y1O9NjZl0TzJ3YRwR5+/Ieg+ncnsATUumWI0+xWEv5kpJeaUjmSQ8s35/kMCsTSdTt9Y1s3E+YHgUx2lvLgFj0kkU9G/ugqTgA/3q6es5VFUldbGs6UsPH2UlZvV/ovl+foZWtf67Sj6Xq/8AoDitCs/W/vaafS9T+TCtCtcP1MMT8MPR/mFFVdQ1Ky0q2+0X1wkEWQoLHlmPRVHViewHJqjFDrviDmNZNE04/wDLSRQbuUf7KHIiHu2W/wBlTzW8pJbnGTajrdrp86WoWW6v5BuisrZd8rj1x0Vf9piFHrTIvD+pa1+81+f7NaHpptnIRuH/AE1lGC3+6uF7EsK3NJ0TT9EgeKwtxGZDullYl5JW/vO5yzH3JrQrCVRsdiG1tbeyto7a0gjgt412pFEgVVHoAOBU1Z2tazb6JZpNMjyyzSrBbwRY3zSt91Fzx6nJ4ABJ4FZusa1qfh/R5NZ1CG1e0gw91BAWLxR5wzK54fb1xtXIB/GBnR0Vi22oXl74subeBk/suztUEh25L3DncAD6KgBPr5g9K2qACiiigAooooAKqajpllq1m1pf20dxAxztcdCOhB6gjsRyKt0UAcxjWvDP3TPrWkDsfmvLce3/AD2Uf99/75rd07UrPVrNLuwuY7iB8gOh6EdQR1BHQg8irVYWo+H3+2PqmizrYam3+sJXMN1joJUHX2cYYepHBAN2isfSdfS+uX0+9gax1aJd0lpI2dy9N8bdHT3HI6EA8VsUAFc/4W/cvrlj0Frqs2B7ShZ/5zGugrn9KHleM/EMP/PSO1uf++leP/2lQB0FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVhatrNx9tGj6MiTao6hpHcZitEPR5MdSedqDlsdgCQAS6xrv2GaPT7G3+26tOu6K1VsBV6eZI38CD16noATxTdI0E2ly2pajP9u1eVdr3JXCxr/zziXnYn6nqSTVjR9Ft9HgkCM891O2+5u5jmSd/Vj+gA4A4AArSoAKKKKACiiigAqK5cxWs0g6qjN+QqWorpDJaTRjqyMB+IoAyfBsYi8DeH4x0XTbZfyiWtusTwa4k8D+H5B0bTbcj8Y1rboAK4vX4/8AhG/E8PiBPl07USlpqXpHJ92GY+nJ8tj6FPSu0qtqFhbapp1zYXkQltrmNopUP8SkYNJq5UJcruVqK5bRtcXR7S60nX7wLe6U6wmaT711E3+pkUdWZgMEDJ3Kwq3v1jWv9UJNJsD/AMtHUG5kHspyIx7nLeymrhRlJcz0Xd/1r8jobS0NoTwmdoBKhmVQxjDDcAehx1xWfq80kpi0u1cpcXedzr1iiH33+vIA9yPQ1malpFroNkur6bAEnsS00zFsvcxnHmK7scsxABBJ+8q9q0NBH2u3OsSENJfqsiYOdkOMooP0OT7samtCNl7N3T38v+H6fPsb0PdvUl0283/wN38u5cl0yymsUspLWNraNQqRkcLjpj0I9RVP7Pqemc2kpv7Yf8sLh8SqP9mQ/e+jf99Vr1iXviOJLt9P0u3fU9RQ4eKFgI4T/wBNZOifTlvRTWTimEa8oqz1XZ/1+WpW1PWbK5jtMyeRLDdxNLDOPLeMZPJB7e4496fHqt/rp2eHbdGtzwdTulItx7xqMGX8ML/tdqyNc8MPqiWVz4juReS/a4lS2gBjghDMAdv8TN/tMfoFrqIrjVdJAVgdTs16Ywtwg/RX/wDHT9acKjhdFVqKq04uGm+jf67ff+JPpXhez0+5F/cSSahqeCDeXWCyg9QgHyxr7KBnvnrW3WHJ4x8OwQ+ZPq1tA2dvkytsm3f3fLPzZ9sVWPim7vONG8P31yD0nvP9Di/8fHmfkhq+ZPW55s4uD5ZKzOlrlfFnxE8OeCrm0t9au5I5rkbkSOJnKrnG446DP4+gpTZeJdQ/4/tbisIj/wAsdMgG76GWXdn6hFNcd4o+GHh/xD4p0SzuW1B5njnmuZ3u3kkeKPaNpLlsDfIvTHBOKXMr2I503ZHRa+8beO/B+szSqdIWK5WOfP7tJpEXyyT0G5dwBPc471J41ZvFGnt4U0mQSyXrql9PGcraW4ILlj03sBtVepznoCa663tLe1sorOGJVtooxEkeOAoGAPpinxxRwxiOJFRB0VRgD8KooIoo4UCRoFXjgD0GB+gFPoooAKKKKACiiigAooooAKKKKAM/V9GtNatliuQ6SRtvguIm2ywP2ZG7H9COCCCRWbY6xeadexaT4gKedIdlpqCLtiuz/dI/gl/2ejdV7gdFVe+sLXU7KWzvYEntpRteNxkH/A9we1AFiuftfl+Ieqf7elWf6S3P+NQ217d+GrqLTtWme402VhHaalIcshPCxTn17K/8XQ/NgtNbfN8Q9U/2NKs/1luf8KALOleJNP1nUL+wtfPFzYMqXKSwsnlsRkDkc5HPHarFtq9vd6ldWEUdwZLUhZXMLCMHAOA+ME4I4BrkdQt7q0+LkH9lSpG2r6U/2/jmMQuoSUDoWxIUGeO/OMHuLa2is7dIIF2xr05ySTySSeSSckk8kmgCWiiigAooooAKKKKACiiigAooooAKKKKACiisbXdYms2h0/TY0n1e7yII2+5Go+9LJjoi5HuSQByaAItZ1e6+2LoujBH1SVA7yOMx2cR48x/U8Hav8RHYAkXtH0e20WyNvb73d2Mk88p3STyHq7nuT+QGAMAAUmjaPDo1m0ayPPcSv5tzcy/fnkPVm/QADgAADgVo0AFFFFABRRRQAUUUUAFFFFAHP+B/l8E6TD/z7wC3/wC/ZKf+y10Fc/4T/dW+q2OMG01S5XHoJH88fpKK6CgAoorP1HXNL0iSGPUL+C1edgsQlfbvY9h6n2oA5/xrYGzms/FtrAJLrSgwuUVQWltG/wBYB/tL98fRh/FW1BNFcwRzwSLJFKodHU5DKRkEH0xVi41jTbbUYdNuL2CO8nXMVuzDe4zjIHcZrzO88YaX8NdSvfDN9OBEALjShyQkchb905H3QjA4J/hK+lTLudFKV/dZ2F1/xNdWWxHNraFZbn0d+qR/yY/8B9ayv7WtvCerS6TMJZIbrdc6fBbxmSQkn95EFHQBjuBOAAx5AWuVh8fpPbCz0WSZYWJebUTGokuHblmj8wrGmT3diQONnSrVhq9nY+Y0WveGtHebma4uL9b68m/3mLKAfb5gOwp0pOMZJrf+l93+fc2rTi2ow2X4938/8ux1X2DWNd+bVJW0ywP/AC42sv76Qf8ATWUdP91P++jSpr/hvRY10zT3idouBZ6bCZnX6rGDt+pxWH5vhG651TX7nXGPVZpGeI/9solEZ/FTW1a+JdBs4FgsLS+WFfux2uj3O0fTbHgVJnco61qWvX9tbfZdFWxi+2QbZtRmG7PmKAfKj3ZGcdWU1pf8I7fXvOr6/ezqesFl/okX/jh8z83NZ+t+JoprKHytK1hsXls2WsHjBxMnHzgcnoPetL/hIr1v9V4W1qT6/Z0/9CmFSviZtK3so+r/AEHxeEtDtQGsrCOzuByLm3+SbPqX6t/wLIPepxeanpnF5Eb+2H/LxAmJVH+1GPvfVf8Avmqv9s62/wDq/C1yv/Xa7gX/ANBZqPt/ih/uaBp6/wDXbVGH/oMLUnC+pHNFx5Zq6/L0fT8u6N2zvbXUIBNaTpNHnGVPQ+h9D7Gs3TB9r8catc9UsrWC0T2di0r/APjph/KsW603xLdXH2qK20jT7vp9ot7uVmI9GHlqHHswNZHhzUfFttZ3V/LLpiW1/dyztdrYy3HQ+WGZFlUhSsakYzx1Ioj7r94weFTlek7+XX/g/n5Hq1Fctbx+I76BJ4vE+nPE4yr2um/KfoTK1Sf2Rrj/AOs8WXq/9cbS3X/0KNq3sc7mk7M6Wiua/wCEevW/1vinXJP+BQJ/6BEKT/hFYW/1ur65J/3E5U/9AIosT7WJ01Fcz/wh2kH/AFh1Kb/rtqt1J/6FIaT/AIQnw0f9Zo9tN/12Bk/9CJo5Re1R0Utzbwf66eKP/fcD+dUJvE2g2/8Ar9b02L/fu41/maoxeD/DEHMPhzSIz6rZRj/2Wr8Oladb/wCpsLWP/chUfyFPlD2vkUj458J5wviTSpD6RXaOfyUmk/4Tfw+f9XeSy/8AXG0mk/8AQUNbAAAwBge1LRyi9r5GN/wmemt/qrPWpf8Ad0e6A/NowKT/AISwt/qvD+uSf9uqp/6Gy1tUUcovasxf+Ek1J/8AVeEdY+sk1oo/9HE/pSf214hf/V+GAv8A121BF/8AQQ1bdFFg9qzn7qbxNqFrLa3Hh7Q2t5VKSRz6nI4ZT1BX7Pg/nXkHw51jxbZfFG4TVriU6QJm0y5mkZpIVZN4hjWQ9wxIGTk7ueTXtHiTUZ9P0krZYOoXci2tmCMjzX4BI9FGXPsprK8HaBYLoetWDwrPYz30luVl58xYkSAk+pLRMSfUk0mXCTerOgTw9pqa8dbEc/8AaBj8oym6lI2Zzt2ltuMnOMVqVzelXdzouoR6BqkzzRyA/wBm3shyZ1AyYnP/AD0UDr/Eoz1DV0lI0CiiigAooooAKKKKACiiigAooooAKKKZNNHbwSTTSLHFGpd3c4CqBkknsKAKWs6tFo2nm4eN5pnYRW9vH9+eU/dRfc+vQAEngGq2g6PLYLNfahIs+rXhDXUq/dUD7sSeiLkgepyTyTVTRIZdb1AeJL2NkjKlNMgcYMUJ6ykHo78H/ZXA4JbPSUAFFFFABRRRQAUUUUAFFFFABRRRQBz1j/ofjnVrYnC3ttBeIPV1zFJ+QWH866Gue8Q/6DrOhauOFjuTZTH0jnAUf+RVhroaACuV+IOmnVvC8lpbFv7VWRbjTdgG8XEZ3IRnoOME9gTXVVmado7WN/dXk2pXt9LOFUfafLxEoz8qBEXAOeeucCgCh4M1CHXvD9pr+d91exDziVwY2BIaIDsFbcMeuSeTXnPxr8HaPJqOjeKLmOdi97Fa36I2Fe3VXdm6Z3BUIznpXpfh7wxD4bkvjbahezx3tw908U/l7FkcgsV2opGcdOnWqXjyxh1HTtNtbgEwS36QyAf3ZEeM/o9AJ2d2Uo/A2jWh3adEbI+iKkg/KQN+mKi17T9Ui8L6tAs1jNA9nMjD7OYnAKEHlSQT+Aq34LvJrvwpZLdn/TLUNZ3POT5sTGNifqVz+Na9/F5+nXUX9+J1/MEVNJKNSMlpZo9F1pNWlZ+qX57/AImdb6zd/ZopbnSLra6BvMt2WVeR6Ahv/HamTxBpTOEe8WCQ9EuVMLH8HANL4el8/wAM6VL132cLfmgNaDxpKhSRFdT1VhkGlUhKE3G+zBVKUldxt6P/ADv+Zma8yvpUTqwZftdqQQc/8t461a5rXtC02LTjLb2q20n2iDLW5MWcypz8uMmtL+y7+H/j11mfHZLqJZVH4ja3/j1ZXak7r+tS6sqMaUVz21e68o9rmnRWZ5uuQf6yztLpf70ExjY/8BYEf+PUn9txxf8AH5Y39r6l4C6j/gUe4D8TVc66mMYc3wNP0av92/4D9e1A6V4e1G/UZe3tpJEHqwU4H4nAp+i6eNK0Ow04HP2W3jhz67VAz+lYmv6lY6tb6dptneQTteahCjrHIGIVD5zgjtlYiPxrqapNNaEyjKMrSVjNm0hFna6sJnsbpjlniGUkP+2nRvrwfcU5NblsTs1m3EC/8/cWWgP+93T8eP8AaNaFHUYNCuvhKk41Faqr+fX7/wDO6LCOsiK6MGRhkMpyCKdWCdJa0czaRP8AY3Jy0O3dA5907H3Ug+uami10QyLDq0H2GUnCyFt0Dn2fsfZsH0zVqovtaHHUwUt6T5l+P3f5X87GxRRRWpwhRUN1cLaW0k7JI6oMlYkLsfoByayLfxbpV34bTxBbtcS6fIwVGS3cu5LbRhMbj8xx0pDsbtFZNzrscE+kwJazvLqUxRI2XY0aqpZnYHoBgD1ywrWpgFFFFAgoorL8Q6nJpWjyzW6CS8kZYLSI9Hmc7UB9snJ9ACe1Ia1M6O4ivPEOoa1cH/iXaDE8MR7Gbbumf/gK4QH1MgrS8IW0tr4S0xbhdtzJCJ5x6SyEyP8A+PMaytX0uPTfB9h4YhdpH1CZLKR2+9KGJe4c+7IJWPua7CoOpKysUtV0u21nTpLK6DbHwVdDteNwcq6nswIBB9RVDQtUuXlm0jVSo1W0UFnC7VuYjwsyj36MP4WyOmCdysfX9Jmv4YbuwdItVsmMlpK/3Sf4o3/2HHB9OCOVFAzYorP0bVota01LuNGifJSaB/vwyKcMje4PHv1HBrQoAKKKKACiiigAooooAKKKKACuZ1P/AIqXWzoi/NplmVk1Ju0r/eS3+nR3HptHRjWj4g1V9K00NbRrLf3Li3s4W6STN0z/ALIALMeyqTUuiaUmjaVFaCVppcmSedx800rHLufckk+3ToKANCiiigAooooAKKKKACiiigAooooAKKKKAKGuaYus6He6cX8szxFUkHWN/wCFh7g4P4Uzw/qbaxoVpeyII53TbPH/AM85VJWRfwcMPwrSrnLI/wBjeL7uwPy2uqqb229BMoCzJ+I2OPUlz2oA6OiiigArmvHUbv4fgMczwuupWOJUALJm5jXI3AjgMTyDXS1z3jfjwndSf88pIJf++Jkb+lNOzuJ7HJ6dok9h401jSH17Ugl1HHqcRTykMhbMcucRgZBRDxj7/rk10P8AwjULf63U9Xk/7f5E/wDQSKg8WA2Gs+HtbXdthuzY3GOnlXACgn2Eqw10NW8RVi7J29LL8jelacE2Q2lpDYWUFnbJsggjWKNMk7VUYAyeegqaiisG23dmpl+If+QNIfSWE/8AkRa16yPEX/IDuD6FD/4+ta9Z/af9dzDHfwoesvyiFFFFUeYc3f2FprHjiyt7q1hnis7GWeQSIG+eR1SPr7JLWofDttH/AMel1e2Z7eVcFlH0V9yj8qqeHx9p17xDqHUfaI7OM+qRICf/AB+SQfhXRVqoRa1R1U8RVpq0JNLt0+7YxjY61B/qdQtrlf7txAUY/wDAkOP/AB2mm81OD/j50eRx3a0mWQD8G2t+QNbdFL2S6M3WOn9uKfyt+VjC/t/TlIW4ma0Y8Yu42h/VwAfwq+GguoDgxzQuMHGGVh/WrpAYEEAg9QazZfD2kyuZBYxxSnrJb5hc/wDAkwaThI1ji6L3TX3P/IqLptzp3zaPcCOMf8uc+WhP+73j/DI/2as2uuQvOlrexPY3bHCxzEbZD/sP0b6dfUCmHRbiL/j01e7jHZJtsy/+PDd/49UNzaau8DQXNrpuowMMMpLRZH+6Q4P5ipXPDZG0nh8R8clfvs/nfR/N38zauLiK1geaZwkaDJP/ANbufbvXn/hCE6P401LQ7yJ4YJQ2qaTA7ArEkjESqAOAwYg45wHIHUkyXdhNa39rfPZauy2jh4rWeeWSJSM8qYWb1P31IxxwKytd+IXgEeJ9Lm1ddSj1W3BVHV5UFoG4O7a4U574DZGM1caik7bM5a2CnSjzr3o91/X/AAPM9NaxgbUY79lJuI4mhRifuqxBbA9yq/kKsUAgjI5FFanCFFFFAgrAtx/bfjJ5jzZaKDGno906/Mf+ARsB9ZW9Kva7qn9j6PPeLH5swwkEOeZZWIVE/FiB+NQ2yQ+DfB7SXUhma2jae4kUfNcTMSzED1ZycD3AqWa0o63GR/8AE08cyydbfRrfyh6G4mAZvxWMJ/39NdFWR4a02bTdFjW8Ia/nZrm7YcgzOdzAewztHsorXqTcKKKKAOZ1Yf8ACOax/b8fy6fclY9UUdE7Jcf8B4Vj/dwT9yumpk0UdxDJDMiyRSKUdGGQwIwQR6Vz/huWXTbq48NXcjO9mokspXOTNak4XJ7sh+Q/8BJ+9QB0dFFFABRRRQAUUUUAFFFYfii8njsYdNsZDHqGpyfZoHXrECCZJf8AgCBiP9raO9AFbSf+J74gudcfmztC9np47MQcTS/iw2A+iEjhq6WoLKzt9OsbeytYxHb28axRoOiqBgCp6ACiiigAooooAKKKKACiiigAooooAKKKKACsjxJpk+paWGsiq6jaSC5s3Y4AlXOFJ/usCyH2Y1r0UAUtI1ODWdKt7+3DKkq8oww0bA4ZGHZlYEEeoNXa5mQ/8I14k80/LpOrygOe1vdngH2WTAH++B3c101ABXP+OQf+EC19h1jsJpB9VQt/SugrK8TQ/aPCmsQYz5ljOn5oRQBV8T6T/b3hfUdNQjzLiBhC2cbZByjfgwU/hUXh7VV1zw7p+pgAG5gSR1H8LkfMv4HI/CtHS5vtGkWU2c+ZAj/moNc34XH9n6pr+hnO21vTcwDbgCG4/eAD2Enmj8KJrqPCy3idLRRRWZ1mX4j/AORfvD6KD+orXrI8Sf8AIuX59ISa16j7T/ruc+O/gw9ZflEKa7rFG0jsFRQWYnsBTqw/F8jr4VvoYmKzXarZxkdQ8zCJSPoXBqjzFqyXwZGw8J2NxIpWS9D3rg9Q0zmUg/Tfj8K3qZFEkEKRRqFRFCqo7AcCn10GgUUUUxBRRRQAUUUUAFcf4k+GXhnxXrtvrGqW0rXMKqrCOTasqjOA479e2DXYUUhp22ADAwOlFFFMQUUVR1nU49H0i5v5EaTyl+SNfvSOThUHuzEAe5oGZuP7b8ZJH1stFAkf0e6dflH/AACMk/WRT2qS9P8Ab3imHTlO6x0plubv0efrDH/wH/WH0Pl+tQxtL4S8Kwxsq3et3khxGDj7ReSZZvogOTn+FE9q2NC0kaNpaWxlM1w7GW5nIwZpmOXc/U9B2AA7VmzqirKxpUUUUDCiiigArC8T2NzJaw6pp0ZfUtNczwoOsyYxJF/wNeB/tBT2rdooAr2F9b6np9vfWkgkt7iNZY29VIyKsVzekf8AEl8R3miHi1u91/Y+i5b99GPo7Bx7SH+7XSUAFFFFABRRRQAVzmj/APE38R6hrTc29sW0+y9MK375x9ZAE/7Ze9XfEuozaZoc0loAb2Yrb2ikZzNIQiZ9gTk+wNWtK02HSNJtdOt8mK2iWNS3VsDkn1JPJPqaALlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBXv7G21OwnsbyIS286FJEPcH+R9+1Y+g6hc291J4f1WUyX9sm+C4bj7ZBnAk/wB8ZCuPXB6MK6CsvW9HXV7WPy5jbXtu/m2l0oy0MmMZx3UgkMvcEigDUqK6h+0Wc0P/AD0jZPzGKzND1ptR86zvYRa6taYF1bA5HPR0P8SNg4P1BwQRWxQBzvg+Xz/BOgzf89NOt2/ONazdZX+zfHmi6l0i1CGTTZiWwA4zLF/6DKP+BVd8E8eC9Jj/AOeUAi/74+X+lR+OrSW48JXdxbKGu7Apf2+Rn54WEmB9QpX/AIFVSV0Y0ZctRGzRUNpdQ31nBd2774Z41ljb1VhkH8jU1YnpGX4k/wCRZ1M+ltIf/HTWvWR4l/5FbV/+vKY/+OGteo+0/wCu5z47+DD1l+UQrC1sfatd8P6f1Bunu5B/sRIcf+RHirdrEtB9r8d3kvVLCwjgU+jyuXcflHEfxrSK1PNjudFRRRW5QUUUUAFFFFABRRRQAUUUUAFFFFABXNalcQXviREuZUj0zQ4/t15I5wvnEHylJ/2V3SH0PlmtnVdSg0fSrrUbokQ20ZkYDqcdh6k9APU1yHhLS7nxBaQ3uoKBpzTm9kXtf3JIO8+sMeFVB/FsVugGZZrTjd3Oh0S2n1TUD4i1CJ4mdDHp9tIMG3hPJZh2kfAJ9AFXrnPRUUVJuFFFFABRRRQAUUUUAYfiq0nk0xNQskL3+mSi7gVesm0EPH/wNC6/Ug9q1rO7gv7KC8tZBJb3EayxOOjKwyD+Rqauc8M/8S291Pw83CWkv2i0H/TvKSwA/wB1xInsFX1oA6OiiigAooo6UAc7c/8AE08b2lt1g0mA3cnp50u5I/yQSn/gSmuirnfB+brTbnWm+9q1y90p/wCmPCQ/+Q0Q/UmuioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAyda0X+0vKurWf7Jqltk210q5256ow/iQ4GV+hGCAQzRtd+3TSaffQfY9XgXM1qWyGXp5kbfxofXqOhAPFbNZ2r6La6xDGJTJDcwtvt7qE7ZYG9VP8wcgjggigDK8HceHvL/55Xt5F/wB8XMq/0reIBBBGQe1cJ4T1ttI+2aVrh8tv7UuUi1DbtgnkaVmKn/nm5LcKeDkYJOQO7q0cst2ch4J3WmkXOiybt+j3clkN55MQO+I/9+nj/KulrnJANL+JDfdWHWrEN16zwHB/OOQf9+66OsWrOx6kZc0VLuZviEZ8M6qPWzm/9ANacZ3RIfUA1n64M+H9SHray/8AoBq7bHdawn1RT+lZ/aMsb/Bh6v8AJEtYvhMefDqupdftuozMp/2YyIF/AiLP41e1a/XStGvtQflLW3kmI9Qqk/0o8O6e2leG9NsZOZYLaNJCf4n2jcfxOTW1NHmxNOiiitRhRRRQAUUUUAFFFFABRRRQAUyaaK3heaaRI4o1LO7sAqgdSSegqnqusWWjW6y3kpBkbZFEil5Jn7Kijlj7D+VYN1bzXttLrPioC20u0QzppYYMoCjO+Yjh244QfKD/AHjghDsZrzv8QvEsOmNbMvhmzVbycSghr1snygV7RkqzYPLbASACM+jABVCqAABgAdqxPCthPa6W13fJs1HUJDd3SnqjMAFj/wCAIFT/AIDnvW5UM6YqysFFFFBQUUUUAFFFFABRRRQAVzviD/iXazo+tjhEl+w3R/6ZTEBSfpKI/oGauiqjrWmprGiXunOxQXMLRhx1QkcMPcHB/CgC9RWX4c1N9Y8O2N/KuyeSICdP7kq/LIv4MGH4VqUAFYfjC5kg8MXcdu5S5u9tnAw6iSZhGp/Atn8K3K57WR9s8VeH9P6rE02oSD2jXy1B/wCBTAj/AHfagDctbaKztIbWBdkMMaxoo7KBgD8hUtFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQByujW8Fzc+KLK5hjmh/tNleORQysGghfBB6/epg03VvD3OjOb/AE4f8w25kxJGPSGU9v8AYfj0ZRxVjR/k8T+J4/713DL+dvEv/slbtWtjmn8TOC8T69YXenW2q28jw32h3kV3cWk0eyeOE5jlyp527HY5GVO0YJrs6q674d0rxHYta6paJMpVlV+jx7hglWHI49Otcd4Rl8TweHLcie31RrVntLi2uW8qZJImMbbZACGHy5AZQcEZY9azmtTsw0rxt2Ou1gZ0S/HrbSf+gmrFic6fbH1iX+Qrnb3xXp39n3NvqKz6VcvC6iO/TywxIPCycox/3WNb+lMH0iydSCGgQgg/7IrJ/EVjHehH1f5Gb4rHn6ba6d3v72C3I9U3h5B/37R66Sucux9r8a6Rb9Vs7ee8b2c4iT8w8v5V0dbwWh5y2CiiirAKKKKACiiigAorP1LXNL0cL/aF/Bbs/wBxHcb39lXqx+gNZ39tatqfy6Po8kUR/wCXvUwYU+qxf6xvowT60h2N6WWOGJpZXWONBuZ3OAo9Sa58+ILvWcxeGrdJozwdSuQRbL7oODMf93C/7VPj8LR3Uqz69dyavMpDLFKoS2jI/uwjj6F9zD1roAABgcCgDI0vw/Bp9w19cTSX2pyLte8uMF8f3UA4Rf8AZUD3yearauP7Z8QWGhLzbw7b++9Nit+6Q/70g3e4iYd627q5hsrSa6uJFjghRpJHboqgZJP4Cs3wnaTCwm1W8jaO+1ST7TIjdYkxiOP/AICgXP8AtFj3pM0pq7ub9FFFSbhRRRQAUUUUAFFFFABRRRQAUUUUAc74fAsdd1/Seii4W/hX0jnB3f8AkVJj+NdFXPaiPsXjbRrzol7DNYP7uAJo/wAhHL/31XQ0AFc9pw+1+ONaujylpb29kns2Glf8xJF+VdDXPeEf31rqd/8A8/mqXLg+oR/JU/8AfMS0AdDRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc3ZfJ4516P+9a2cv5+av/slblYa/J8Q77/prpVt/wCOSz//ABdblWtjmqfEFclpoGmeOdc03gRXyR6nAoHcjypf1RG/4HXW1y3iwGx1bw/ra7tsF39inxwPKuMICfYSiGpmtDXDStO3c1tRjSbTbqN1DK0TAqRkHg1g6X4T0v8AsiynsftGmyvBGxawnaFSSoySgOxj9VNdFcjdazD1Rh+lV9CbPh3TWJ4+yRH/AMcFYP4jqxf8C/n+hzOj6f4gPiDW7uz1qC58h4rENqNoGZwieZw0RQDmYgnac49q3hfeKYOJtE0+5H9611BgT/wF4wB/30aPBgL+GYL0/e1CSW+z/syuzr+SlR+Fb9dCWh5xgf8ACQamn+u8JauP9qOW1cf+js/pR/wk0o+94c1wH/rhGf5PW/RTAwP+Ekum/wBX4X1xz6bYF/8AQpRR/bGuy/6jwtPGf+nu9hQf+Qy9b9FAXOfx4vuep0XTwfQS3ZH/AKKFH/CN3V1zqfiDU7lT1igdbWP8PLAf83NdBRQFzO03QdJ0gs1hp9vBI/35VQeY/wDvOfmb8TWjRRTAKKKZLLHBC8srqkaKWZmOAoHJJoEYOur/AGvqth4dXmKU/a77/rghGEP+++0Y7qr11Nc74ShkuLa5165RluNVcSorDBjtwMQp7fL8xHZnauiqGdUI2QUUUUigooooAKKKKACiiigAooooAKKKKAOe8ZDytFh1AcHT723us+iCQCT/AMhs9dDWfrth/avh7UtOxn7Vayw/99KR/Wk0C/8A7V8OaZqBOTdWkUx+rID/AFoAvSyLDC8rnCIpZj6AVi+Co3j8EaKZBiWSzjmkH+26h2/VjT/F9wbTwVrtwv3otPnZfqI2x+tadnbi0sbe2X7sMaxj8BigCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5y5+T4hWv/TXSpv/AByWP/4utusTVPk8daFJ/esr2L82t2/9krbqlsc9T4grK8S6T/bvhrUdMBAkuIGWJifuyYyjfgwB/CtWimQm07owdC1Qa74ZstSwA1zbK7qP4XI+ZfwbI/Csu5uZLf4XxvAcXEumxQwn/ppIion/AI8wqXw0PsGq6/ohzttrw3UAxgeTcZk49hJ5w/CqkA+06N4L07qJWgmkH+xDF5gP/fax/nXNb30j0sQ06F13X5M7K0to7KzgtYRiKGNY0HooGB/KpqKK6jzQooooEFFFFABRRRQAUUUUAFc/4jB1S5svDicrfEyXmP4bVCN4P++Ssf0ZvSt9mCqWYgKBkk9BWJ4UQ3/2vxHKDu1Jh9mBHKWqZEX/AH1lpP8AtpjtSZpTjdnSAADAGAKKKKg6AooooAKKKKACiiigAooooAKKKKACiiigArnvBXyeGIrb/n0uLm0A9BFO6D9FFdDXP+F/3dx4gtv+eOrSf+Pxxy/+1KADxvz4N1KP/nqixf8Afbqv9a6Cuf8AGnPhtl/v3lmn53MQ/rXQUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBzuvfJ4n8NSf3p54vzhZv/ZK2qxfE/y6l4Zl/uaqQf8AgVtOv/swraqkYVdwoooqjI5TWV/s7xzoupAYiv4pNNmJbA3AGWL/ANBlH/A6qeFB9r1XTj1XTtFiQf70zc/iBAP++vetPx3bvL4QvbmHaLmw238Bb+/CwkA/HaV/4FWV8Lp4b/w9capDIsiXVwFQg5KpHGkYB9OVZv8AgVY8v7xM7edPCW6pr8n/AJncUUUVscQUUUUAFFFFABRRRQAUUUUAYHiZmvxaeHoWIk1Nis7KcFLZcGVvbIIQHsZAe1dKiLGioihUUAKoGAB6Vznhhf7Tu77xI/KXZEFl7WyE4Yf77Fnz3Up6V0tQzphGyCiiikWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/ofyeJvFEf967hl/O3jX/2Sugrn9K48Z+IV9UtW/wDHXH9KADxn/wAi8p9L+xP5XUVdBXP+NuPCly//ADzlgk/75mRv6V0FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc94u+W20mX/nnqtt/wCPPs/9mrZrG8a8eHkk/wCeWoWMn4LdRE/oDWzVRMKu4UUUVRkYni/w/wD8JT4U1DRBctbG7jCiZRnaQQRkdxxgj0Jrl/hl4Nj+Hdjdadfa1bXF9ezLJ5SvtCgDA2qTkk9zj09K3vG2s3WlaVaW+ntsv9UvYtPt5SM+S0mcyY77VDH6gVZu9L0jSvCl9bzwr9gS3d7lpDuaQBSWd2PLNxncec0iru1jcornvAtxfXXgPQ7jUmZruSzjaRn+83HBPuRgmuhoEwooopiCiiigAooooAKwvE8ss9tb6JauyXWquYN6nmKEDMsnthMgH+8y1u1g+Hh/a2r3/iBuYSTZWH/XFG+dx/vyA/VUQ0my4RuzooIIra3it4I1jhiQIiKMBVAwAPwqSiioOkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuf0v/kdfEH/XG0H6SV0Fc/o/zeLfEj/3Xto/yi3f+zUAL45BPgTXWUZaOxllA9Sqlh/Kt5SGUMDkEZBqpqtp9v0e+s+v2i3ki/76Uj+tVvDN39v8KaPef897KGT/AL6QH+tAGrRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc/4448GalJ/zyRZf++GDf0rYrK8bRmXwH4hRfvHTbjb9fLbH61pRSCWFJB0dQw/GqiY1eg+iiiqMTJ8Q6EmvWUEfnGC5tbmO7tZgu7y5UPBK9wQSCOMgnkdar6jod1r0KWmr3EP9n7g01rboR9owcgOxP3M9VA5xgkjIO9RSHcQAKoVQABwAO1LRRTEFFFFABRRRQAUUUUAYnia6nWxi02ykMd/qcn2WB16xggl5P+AoGYe4A71uWdnBp9jBZWsYjt7eNYokHRVUYA/IVgaIP7Y8Q32ttzbW26wsfQ4b984+rqE/7Ze9dNUNnTTjZBRRRSLCiiigAooooAKKKKACiiigAooooAKKKKACiiigArn/AA78+seKJuzamqL9FtoB/PdXQVz/AIP/AHmm311/z8aneOPcLM6KfyQUAdBXPeCvk8MRWnQ2U9xZ49BFM6D9FB/GuhrnvD/+ja74ksfS8S6Qf7EsSf8As6SUAdDRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUNch+0aBqUGM+Zayp+akVV0Cb7R4c0ubOfMtIn/ADQGtd0EkbI3RgQa5zwSxfwJoBb7w06BW+ojUH9RVRMquyN2iiiqMAooooAKKKKACiiigAooooAKx/El9cWmmLb2LAajfSC1tDjO12zl8eiKGc+y1sVg6Wv9s+KbvVDzaaaGsbT0aU4Mzj6ELGPQq/rSZcI3Zuabp9vpWmW2n2qlYLaNYkBOTgDGSe59TVqiioOkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCOeZLe3knkOI41LsfQAZNY3guF4fBWj+aMSyWqTSD0dxvb9WNJ40kZPB2pxRttluovskZ9HmIiX9XFbcUSQwpFGNqIoVR6AdKAH1z03+h/EC2k6JqOnvCx/wBuFwyD/vmaQ/8AAa6Gud8XZtrbTdWXg6dfxSufSN8xSH6BJGb/AIDQB0VFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzHgv5fCVjH/wA8vMi/74kZf6V09cz4Q+XRriL/AJ5alfp+AupcfpinEyq7G9RRRVmAUUUUAFFFFABRRRQAUUUUAZXiLUZtO0ljaBWv7h1trNG6GZ+FJ9hyx9lNaGkaZDo2k2unQFmjgjC72+857sfcnJPuTWNZj+2vF812ebPRwbeH0a5cAyN/wFCEB9XkHaumqGzopxsgooopGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHPeI/wDStV8P6aORLffaZB/sQqXB/wC/nlfnXQ1ztt/p3j2+nzmPTbJLVPaSU+ZIP++Ug/OuioAKq6nYRarpV3p8/wDqbqF4X/3WBB/nVqigDI8L38upeG7Ke5ObtEMNz7TRkpIP++1ateud0r/iW+LNW0w8RXgXUrf6nCSqPoyox95a6KgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5nwx8v9sxf889VuP8Ax4h//Zq6aua0H5Na8URf3dTVh9GtYD/MmmjOp8Ju0UUVZzhRRRQAUUUUAFFFFABWbr2pvpOkS3EMYlumKw20R/5aTOdqL9NxGT2GT2rSrBiX+2vGJb71loowPRrt1/8AZI2/OX2pMqKu7GtomlpoujW1gshlaNSZZT1lkYlnc+7MSfxrQooqDqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKRmVELuwVVGSSeAKWuf8YSPJog0uFis+qzLYoVOCFfPmMPdYxI34UAJ4MVpdCOqSKRLqs73xBGCEc/uwfcRCMfhXQ02ONIokjjUKiAKqjoAOgp1ABRRRQBzvir/AEEWGvrx/Zk+ZyO9tJ8kufZflk/7Z10VRzwRXVvLbzoJIZUKOjdGUjBB/CsTwncSjTZdJupC95pUptJGbrIgAMTn13RlST67h2oA36KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACua0v5PF3iSP8AvPby/nEF/wDZK6Wubtvk8f6ynZ9PspPx33Cn/wBBFNbkVPhNyiiirOYKKKKACiiigAooooAz9b1MaPpFxe+WZZEAWKIdZZGIVEHuzED8al8P6UdH0aC1kkEtycy3MwH+tmclnb6FicegwO1Zbr/bXjCKDrZ6MBNL6NcuvyL/AMAQliPV0PaunqGdFONlcKKKKRoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzkP8AxNvHE03W20aHyF9DcSgM/wCKx7B/21atfVtSh0fSbrUJwTHbxl9q/ec9lHqScAD1NVPDWmzaXocMV2Q19MWuLth0M0hLPj2BOB7AUAa9FFFABRRRQAVzmr/8SbxHZa2OLa626ffHsMt+5kP0din/AG19q6Oq2oWFvqmnXNhdJvt7iNopF9iMceh96ALNFYnhm/uLixlsdQfdqWnSfZrlsY8zABSUezqVb2JI7Vt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc23yfEKX/prpSf+OSv/wDF10lc5e/J8QdMP/PXS7of98y2/wD8Waa3Jn8LNuiiirOUKKKKACiiigAqlq2pRaRpNzfzKzrCm4Iv3nboqj3JIA9yKu1gXQ/trxZa6eObTSwt7c+jTHIhT8MNIfQiP1pMqKu7Gj4b0yXStGjjumV76dmuLx16NM5y2PYfdHsorWooqDqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKp6rqVvo+l3OoXJPlQIWIUZZj2VR3JOAB3JFAGPqR/tnxRZ6SvNrp+2/vD2L5PkRn/gQMntsX1rpKxvDWm3FhprTXwX+0r2Q3V4QcgSNjCA9wihUHstbNABRRRQAUUUUAFFFFAHN+IA2jahB4liB8mJRb6ko/ityciT6xsS3+6z+1dGrBlDKQQRkEd6HRZEZHUMjDDKRkEelc3oDtomoP4YuGYxRoZtMkY5324ODHnu0ZIH+6UPXNAHS0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzmsfJ4z8Pyf3obuL8xG3/sldHXO+Ifk8QeF5P719LF+dtM3/slNEy+Fm1RRRVnKFFFFABRRRQBV1K/g0rTbm/uSRDbxtI+BkkAdAO5PQD1qDwxp09hpPm3qgajeyG6vMHOJGx8ue4RQqD2QVR1Ff7Z8S2Wjjm2s9t/e+hIJ8lD9XUv/ANsh6109QzenGyuFFFFI1CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5qY/wDCQ+KVtl+bTdGkEkx7S3eMonuIwQx/2mT+6au+ItVm060it7FVk1S9fyLONuRvxku3+wgyx9hjqRVnRtKh0XS4bGFmfZlnlf70rsSzu3uzEk/WgC/RRRQAUUUUAFFFFABRRRQAVla9pDatZIbeUQX9s4ns7gjPlygEDPqpBKsO4Y1q0UAZuh6uus6f5rRGC6icw3Vsxy0Eo+8p9R0IPcEHvWlXOa1bT6VqH/CRafE8hVAmo20YybiEdHUd5EySP7wyvXbjdtbqC+tIbq1mSa3mQPHIhyrKRkEGgCaiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK53xV8tx4fl/wCeeqp/49FKn/s1dFXPeMfl02wl/wCeeq2X/j06J/7NQJ7GzRRRWhyBRRRQAVBe3kGn2Nxe3Ugjt7eNpZHP8KqMk/kKnrA1gf2xrdhoK8wKRfX3/XNG/dof9+QZ91jcd6RUVd2Lfhayng02S+voymoalIbq4RuseQAkf/AECr9QT3rcooqDqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKhu7u3sLOa7upVht4UMkkjnAVQMkmpq5cn/hLdX2j5tC0+b5j/DeXCnp7xxkc+rj0U5AJ9AtZ7+7k8R6jC8VxcJ5dpbyDBtrfOQCOzuQGb0+Vf4a6GiigAooooAKKKKACiiigAooooAKKKKACuVk/wCKNv3nHHh67lLSjtYzMeXHpExPP91jnoTjqqbJHHNE8UqK8bqVZGGQwPUEdxQA6iuVtpn8IXUWnXbu+hzOI7K6c5NqxOBDIT/CeiMf90/wk9VQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc94248Lyyf88rm1l/74uI2/pXQ1z/AI548C63J/zytHl/74G7+lAM2KKKK0OMKKKKAI7ieK1tpbieRY4YkLyOx4VQMkn8Ky/CltK1lPrF3GyXeqyfaGRhzFFjEUZ9MJgkf3mb1qvr4/tbULHw6vMdwftF97W6EfKf999q47rv9K6ipZvSj1CiiipNQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKwNY1W6mvf7D0Vh/aLqGnuCu5LKM/wAbernnavfqeAaAItWu7jWtQk8P6ZK8SIB/aV5GcGBCM+Uh/wCerDv/AAqc9Sud60tLextIbS1hSG3hQJHGgwFUDAAqDStLtdG0+OytFbYuWZ3bc8jk5Z2PdickmrtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBFc20F7ay2t1Ck0EqlJI5FyrKeoIrm7e6n8JTx2OoyvNosjBLS/kYs1uTwIpie3ZZD7BucFupqOeCK5gkgniSWGRSjxuoKsp4IIPUUASUVyoe58G/LK0t14dH3ZDl5bAejd3iHr1TvleV6eKWOeJJYZFkjdQyOhyGB6EEdRQA+iiigAooooAKKKKACiiigAooooAKKKKACsbxbD9o8Ga7BjPmafcJ+cbCtmq2ow/aNMu4MZ8yF0/NSKAIbGb7RYW02c+ZEr/mAanrJ8LTfaPCGizdfMsIH/ADjU1rVZyMKa7pFG0kjBUUFmZjgADuadWB4kzqUtn4djJ/4mBLXRH8NqmPM/76JWP/gZPagEruxL4Uie6hudfnUrNqjB4lYYKWy5EK+2QS5HYyEV0VIAFAAAAHAA7UtQdSVgooooGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFc5e6vd6vdy6V4fkCtE2y71IqGjtj3RB0eX26L1bspAJNV1m5lvjouhhJNSKgzzuN0Vkh6M/qx/hTqepwOa0NI0i20Wy+z2+92djJNPK26SaQ9Xc9yfyHAGAAKdpWlWmjWQtbRGC7i7u7Fnlc9XdjyzHuTV2gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArmZNLvfDkjXWgQ+fYMxefSdwXBPJaAnhT3KHCnttOSemooApaVq1lrNn9pspt6hijowKvG46q6nlWHcHmrtYuqeHxdXf9pabcnT9WChftKLuWVR0SVOA6/kR2IqOx8Qst5Hpmt240/UXO2L5t0Fyf8Apk/c/wCwcMPQjmgDeooooAKKKKACiiigAooooAKKKKACiiigDmPBHHgbRI/+eVnHF/3wu3+lb9YPg35fDMUf/PK4uYv++J5F/pW9VnI9wJABJOAOprD8LKdQe88RyD/kIEJaZ/htUz5Z/wCBktJ9HA7U3xM73kdtoEDMs2qMY5GU4MduvMze3ykID2aRa6SONIYkijRUjQBVVRgADoBSZrSj1HUUUVJsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFR3FxDaW8lxcSpDDGpZ5JGCqoHUknoKztW1+10qSO2CSXWoTDMNlbgNLIPXHRV9WYhR61Rg0K71W4S+8SPFLsYPBpsRzbwEdCxP+tcepAA7KDyQCLzr/AMW/LbGfT9CP3rjlLi8HoneOM/3vvHttGGPQ2VlbadZxWdnBHBbRLtjijXCqPYVPRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVe9sbXUrSS0vbeO4t5Bh45FDA1YooA5r7LrXh45sWk1jTB/wAuk0g+0wj/AKZyMcSD/Zcg/wC0elaula3p+sxu1nPmSI7ZoJFKSwt6OjYZT9RWhWXqvh/T9XkjnmR4ryIYivLdzHNH7Bxzj/ZOQe4NAGpRXN/afEWh8XcH9uWQ/wCXi2VY7pB/tR8K/wBUIPohrU0vW9N1mN2sLtJWjOJIzlZIj6Ohwyn2IFAGhRRRQAUUUUAFFFFABRRRQBzPhP5dPv4v+eeq33/j1xI//s1b1YXhz5brxBF/zz1WT/x6ON//AGal8TTzSWkGkWkjJeapJ9nV16xR4zLIPTagOD/eKjvV9DmavKweG1/tS/vvET8xzn7NY+1uhPzD/ffc2e6hPSukqK2t4bS1htreNY4IUEcaL0VQMAD8KlqDoSsrBRRRQMKKKKACiiigAooooAKKKKACiq97fWmnWr3V9cw21un3pZnCKPxNYf8Abuqax8vh/TisB/5iOoo0cX1SPh5Px2KezGgDcvr+00yzku765itreMZaSVwqj8TWF9v1nxDldLifStOP/L/dRfv5B/0yiYfL/vSD/gB61ZsfDFvDdpqGpTy6pqKcpcXWMRH/AKZRj5Y/qBuPcmtygDP0rRbHR45BaxsZZTunuJWLyzN6u55P8h0GBWhRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWZqnh7TNXdJrq2xcxjEd1C5imj/wB2RSGA9s4PetOigDnPsvibSf8Aj1u4Nath/wAsr3ENwB7SINrfQqPdqkj8X6dHIsOqpcaPcE7QmoJ5aE+iygmNj7Bia36bJGk0bRyorxsMMrDII9CKAFVldA6MGVhkEHIIpa55vBumws0mkyXWjSk5zp0vlpn1MRBjP4rSeV4tsB+7uNN1eMdp1a0lx/vKHUn/AICtAHRUVz//AAk8trxqmg6taY6yRQfakP0MJZsfVRVmz8VaBqEvk22r2bT94WlCyD6ocMPyoA16KKKAOa0X5PEXimP1v4pR+NrCP5qaNBX+1tavtebmBN1jY/8AXNW/euP96QY9xGp71jardz2/iXXNOsXKahqf2SK3YdYyySBpP+AJGzfVQO9dtY2UGnWFvY2sYjt7eNYo0HZVGAKbehnGPvNliiiikaBRRRQAUUUUAFFZ+oa9pGk/8hHVLK0PYTzqhP0BPNZ//CXWtxxpmnarqR7GC0ZEP0kl2IfwagDoKK57zvFd8cRWmm6VEej3EjXUv4om1R/32aQeExeDOt6tqGp56xNJ5EP08uLaGHs5agCze+KdIsrlrT7Ubm9XraWaGeYfVEBKj3OB71V+0eJ9W4t7WDRLY/8ALS6InuCPaNTsU+5Zvda2rHT7LTLZbawtILWBekcEYRR+AqzQBiWXhbT7a6S9u2n1K/Q5W6vn8xkP+wuAkf8AwBVrboooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACq95YWeoReVe2kFzH/AHJow4/IirFFAHP/APCE6An/AB62clh6f2fcy2oH4RMoo/4Rm5i/48/E+t24/utJFOP/ACLGx/WugooA8L0n4dfEK1+Lk+uy6rH9nDykahORKJY2DbUMIZT3HHAHY8V6p5HjBP8AmIaHN/24zR/+1mrO8T/ZNNvn1O8+1X99c7bTS9MguHQSMBk/KCBnJJZzkKqj8dLwpoNzolhK9/dvc6hdv5txh2MUZ7RxKTwijj1PU+wAn/FYD/oBn/v8KM+MPTQx+MxroKKAOf8AK8YP/wAvehRe/wBlmkx/5EWj+zvFUn+t8Raeg/6d9KKn/wAfmaugooA5/wD4R3Upv+PrxXq7jukKW8S/mI93/j1H/CGaRJ/x9nUL0nqLvUJ5VP8AwAvt/SugooAoafoek6SMadpdlZ/9e8Cp/IVfoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoPTiiigDibDRvE9vqd5rl7aaRe6vMDFblr+VYrWHPEaDySeeCzdWPoABXT6Na3VppMEV/JHJekGS4aPOwyMSzbc87QSQM9gKv0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9k=)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n29. [16]", "solution_match": "\nSolution 1: "}} -{"year": "2025", "tier": "T4", "problem_label": "29", "problem_type": null, "exam": "HMMT", "problem": "Points \\(A\\) and \\(B\\) lie on circle \\(\\omega\\) with center \\(O\\) . Let \\(X\\) be a point inside \\(\\omega\\) . Suppose that \\(XO = 2\\sqrt{2}\\) , \\(XA = 1\\) , \\(XB = 3\\) , and \\(\\angle AXB = 90^{\\circ}\\) . Points \\(Y\\) and \\(Z\\) are on \\(\\omega\\) such that \\(Y \\neq A\\) and triangles \\(\\triangle AXB\\) and \\(\\triangle YXZ\\) are similar with the same orientation. Compute \\(XY\\) .", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(M\\) be the midpoint of \\(AB\\) . We will find \\(MO\\) first. \n\nLet the internal bisector of \\(\\angle A X B\\) intersect \\(\\odot (A X B)\\) at \\(P\\) . From Ptolemy, \\(X P = 2\\sqrt{2} = X O\\) . Let \\(X^{\\prime}\\) be the foot of altitude from \\(X\\) to \\(M O\\) . Observe that \\(O\\) is the reflection of \\(P\\) across \\(X X^{\\prime}\\) . By the\n\n\n\narea of \\(\\triangle A X B\\) , we have \\(X^{\\prime}M = \\frac{3}{\\sqrt{10}}\\) . Therefore, \n\n\\[M O = O X^{\\prime} + X^{\\prime}M = X^{\\prime}P + X^{\\prime}M = 2X^{\\prime}M + M P = \\frac{11\\sqrt{10}}{10}.\\] \n\nBy the spiral similarity \\(\\triangle X A B\\mapsto \\triangle X Y Z\\) , we have that \\(A Y\\perp B Z\\) and \\(\\angle A O B + \\angle Y O Z = 90^{\\circ}\\) Therefore, \\(\\triangle X A M\\sim \\triangle X Y N\\) where \\(N\\) is the midpoint of \\(Y Z\\) . Thus, \\(Y Z = \\frac{11\\sqrt{10}}{5}\\) and \\(X Y = \\left[\\frac{11}{5}\\right]\\) \n\nNote: if \\(\\triangle X A B\\widetilde{\\sim}\\triangle X Y Z\\) , just consider another \\(\\triangle X Y^{\\prime}Z^{\\prime}\\) caused by reflecting \\(\\triangle X Y Z\\) across \\(X O\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n29. [16]", "solution_match": "\nSolution 2: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "29", "problem_type": null, "exam": "HMMT", "problem": "Points \\(A\\) and \\(B\\) lie on circle \\(\\omega\\) with center \\(O\\) . Let \\(X\\) be a point inside \\(\\omega\\) . Suppose that \\(XO = 2\\sqrt{2}\\) , \\(XA = 1\\) , \\(XB = 3\\) , and \\(\\angle AXB = 90^{\\circ}\\) . Points \\(Y\\) and \\(Z\\) are on \\(\\omega\\) such that \\(Y \\neq A\\) and triangles \\(\\triangle AXB\\) and \\(\\triangle YXZ\\) are similar with the same orientation. Compute \\(XY\\) .", "solution": "Consider a rotation about \\(X\\) by \\(90^{\\circ}\\) followed by a homothety with ratio \\(\\frac{1}{3}\\) that sends \\(B\\) to \\(A\\) . This sends \\(\\omega\\) to \\(\\omega^{\\prime}\\) with radius \\(\\frac{1}{3}\\) of the radius of \\(\\omega\\) and center \\(O^{\\prime}\\) . Since \\(A\\) is the image of \\(B\\) under this rotation, we know \\(A\\) lies on both circles; the same argument shows \\(Y\\) must lie on both circles. Thus, \\(Y\\) is the reflection of \\(A\\) over \\(OO^{\\prime}\\) . In particular, this means that \\(XY = AX^{\\prime}\\) , where \\(X^{\\prime}\\) is the reflection of \\(X\\) over \\(OO^{\\prime}\\) . \n\nLet \\(M\\) be the midpoint of \\(AB\\) . Note that because \\(\\triangle OXO^{\\prime} \\sim \\triangle BXA\\) , we also have \\(\\triangle XOX^{\\prime} \\sim \\triangle XMA\\) , as they are both isosceles and \\(\\angle XOX^{\\prime} = 2\\angle XOO^{\\prime} = 2\\angle XBA = \\angle XMA\\) . This implies that \\(\\triangle XOM \\sim \\triangle XX^{\\prime}A\\) . Thus, we know that \\(AX^{\\prime} = OM \\cdot \\frac{XA}{XM} = \\frac{2}{\\sqrt{10}} OM\\) . It remains to compute \\(OM\\) ; noting that the distance between \\(O\\) and the foot from \\(X\\) to \\(AB\\) is \\(\\frac{2}{5}\\sqrt{10}\\) , and that the altitude of \\(\\triangle AXY\\) has length \\(\\frac{3}{10}\\sqrt{10}\\) , we get that the distance from \\(O\\) to \\(AB\\) is \n\n\\[\\frac{3}{10}\\sqrt{10} +\\sqrt{\\left(2\\sqrt{2}\\right)^{2} - \\left(\\frac{2}{5}\\sqrt{10}\\right)^{2}} = \\frac{11}{10}\\sqrt{10}\\] \n\nby the Pythagorean theorem, which means that \\(XY = AX^{\\prime} = \\left\\lfloor \\frac{11}{5} \\right\\rfloor\\) .\n\n\n![md5:9f73282b07dbc89124eba6f1161ff910](9f73282b07dbc89124eba6f1161ff910.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n29. [16]", "solution_match": "\nSolution 1: "}} +{"year": "2025", "tier": "T4", "problem_label": "29", "problem_type": null, "exam": "HMMT", "problem": "Points \\(A\\) and \\(B\\) lie on circle \\(\\omega\\) with center \\(O\\) . Let \\(X\\) be a point inside \\(\\omega\\) . Suppose that \\(XO = 2\\sqrt{2}\\) , \\(XA = 1\\) , \\(XB = 3\\) , and \\(\\angle AXB = 90^{\\circ}\\) . Points \\(Y\\) and \\(Z\\) are on \\(\\omega\\) such that \\(Y \\neq A\\) and triangles \\(\\triangle AXB\\) and \\(\\triangle YXZ\\) are similar with the same orientation. Compute \\(XY\\) .", "solution": "![md5:79e94bdb5b607f1c5bb5ad0a8ff2bf6a](79e94bdb5b607f1c5bb5ad0a8ff2bf6a.jpeg)\n \n\nLet \\(M\\) be the midpoint of \\(AB\\) . We will find \\(MO\\) first. \n\nLet the internal bisector of \\(\\angle A X B\\) intersect \\(\\odot (A X B)\\) at \\(P\\) . From Ptolemy, \\(X P = 2\\sqrt{2} = X O\\) . Let \\(X^{\\prime}\\) be the foot of altitude from \\(X\\) to \\(M O\\) . Observe that \\(O\\) is the reflection of \\(P\\) across \\(X X^{\\prime}\\) . By the\n\n\n\narea of \\(\\triangle A X B\\) , we have \\(X^{\\prime}M = \\frac{3}{\\sqrt{10}}\\) . Therefore, \n\n\\[M O = O X^{\\prime} + X^{\\prime}M = X^{\\prime}P + X^{\\prime}M = 2X^{\\prime}M + M P = \\frac{11\\sqrt{10}}{10}.\\] \n\nBy the spiral similarity \\(\\triangle X A B\\mapsto \\triangle X Y Z\\) , we have that \\(A Y\\perp B Z\\) and \\(\\angle A O B + \\angle Y O Z = 90^{\\circ}\\) Therefore, \\(\\triangle X A M\\sim \\triangle X Y N\\) where \\(N\\) is the midpoint of \\(Y Z\\) . Thus, \\(Y Z = \\frac{11\\sqrt{10}}{5}\\) and \\(X Y = \\left[\\frac{11}{5}\\right]\\) \n\nNote: if \\(\\triangle X A B\\widetilde{\\sim}\\triangle X Y Z\\) , just consider another \\(\\triangle X Y^{\\prime}Z^{\\prime}\\) caused by reflecting \\(\\triangle X Y Z\\) across \\(X O\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n29. [16]", "solution_match": "\nSolution 2: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "30", "problem_type": null, "exam": "HMMT", "problem": "Let \\(a\\) , \\(b\\) , and \\(c\\) be real numbers satisfying the system of equations \n\n\\[a\\sqrt{1 + b^{2}} +b\\sqrt{1 + a^{2}} = \\frac{3}{4},\\] \\[b\\sqrt{1 + c^{2}} +c\\sqrt{1 + b^{2}} = \\frac{5}{12},\\mathrm{and}\\] \\[c\\sqrt{1 + a^{2}} +a\\sqrt{1 + c^{2}} = \\frac{21}{20}.\\] \n\nCompute \\(a\\) .", "solution": "Answer: \\(\\frac{7}{2\\sqrt{30}}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n30. [16]", "solution_match": "\nProposed by: Pitchayut Saengrungkonga \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "30", "problem_type": null, "exam": "HMMT", "problem": "Let \\(a\\) , \\(b\\) , and \\(c\\) be real numbers satisfying the system of equations \n\n\\[a\\sqrt{1 + b^{2}} +b\\sqrt{1 + a^{2}} = \\frac{3}{4},\\] \\[b\\sqrt{1 + c^{2}} +c\\sqrt{1 + b^{2}} = \\frac{5}{12},\\mathrm{and}\\] \\[c\\sqrt{1 + a^{2}} +a\\sqrt{1 + c^{2}} = \\frac{21}{20}.\\] \n\nCompute \\(a\\) .", "solution": "Recall that the functions \\(\\sinh (x) = \\frac{e^{x} - e^{- x}}{2}\\) and \\(\\cosh (x) = \\frac{e^{- x} + e^{- x}}{2}\\) satisfy the relation \n\n\\[\\sinh (x + y) = \\sinh (x)\\cosh (y) + \\cosh (x)\\sinh (y) = \\sinh (x)\\sqrt{1 + \\sinh (y)^{2}} +\\sinh (y)\\sqrt{1 + \\sinh (x)^{2}}.\\] \n\nSince \\(\\sinh\\) is surjective, we can perform the substitution \\(a = \\sinh (x)\\) , \\(b = \\sinh (y)\\) , and \\(c = \\sinh (z)\\) , which turns the equations into \n\n\\[\\sinh (x + y) = \\frac{2 - \\frac{1}{2}}{2},\\] \\[\\sinh (y + z) = \\frac{\\frac{3}{2} - \\frac{2}{3}}{2},\\] \\[\\sinh (z + x) = \\frac{\\frac{5}{2} - \\frac{2}{5}}{2}.\\] \n\nThus, \\(x + y = \\log (2)\\) , \\(y + z = \\log (3 / 2)\\) , and \\(z + x = \\log (5 / 2)\\) . Solving these equations gives \\(x = \\log (\\sqrt{10 / 3})\\) , so \\(a = \\frac{1}{2}\\left(\\sqrt{\\frac{10}{3}} - \\sqrt{\\frac{3}{10}}\\right) = \\left[\\frac{7}{2\\sqrt{30}}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n30. [16]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "30", "problem_type": null, "exam": "HMMT", "problem": "Let \\(a\\) , \\(b\\) , and \\(c\\) be real numbers satisfying the system of equations \n\n\\[a\\sqrt{1 + b^{2}} +b\\sqrt{1 + a^{2}} = \\frac{3}{4},\\] \\[b\\sqrt{1 + c^{2}} +c\\sqrt{1 + b^{2}} = \\frac{5}{12},\\mathrm{and}\\] \\[c\\sqrt{1 + a^{2}} +a\\sqrt{1 + c^{2}} = \\frac{21}{20}.\\] \n\nCompute \\(a\\) .", "solution": "We can find positive real numbers \\(x\\) , \\(y\\) , and \\(z\\) such that \\(a = \\frac{x^{2} - 1}{2x}\\) , \\(b = \\frac{y^{2} - 1}{2y}\\) , and \\(c = \\frac{z^{2} - 1}{2z}\\) . Then, the first equation becomes \n\n\\[\\frac{x^{2} - 1}{2x} \\cdot \\frac{y^{2} + 1}{2y} + \\frac{y^{2} - 1}{2y} \\cdot \\frac{x^{2} + 1}{2x} = \\frac{3}{4},\\] \n\nwhich simplifies to \n\n\\[x y - \\frac{1}{x y} = \\frac{3}{2},\\] \n\nfrom which it follows that \\(x y = 2\\) . Similarly, \\(y z - \\frac{1}{y z} = \\frac{5}{6}\\) and \\(z x - \\frac{1}{z x} = \\frac{21}{10}\\) , so \\(y z = \\frac{3}{2}\\) and \\(z x = \\frac{5}{2}\\) . Thus \\(x = \\sqrt{(2 \\cdot \\frac{5}{2}) / (\\frac{3}{2})} = \\sqrt{\\frac{10}{3}}\\) , and \\(a = \\frac{(10 / 3) - 1}{2\\sqrt{10 / 3}} = \\left[\\frac{7}{2\\sqrt{30}}\\right]\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n30. [16]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "31", "problem_type": null, "exam": "HMMT", "problem": "There exists a unique circle that is both tangent to the parabola \\(y = x^{2}\\) at two points and tangent to the curve \\(x = \\sqrt{\\frac{y^{3}}{1 - y}}\\) . Compute the radius of this circle.", "solution": "Answer: \\(\\frac{\\sqrt{5}}{2}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n31. [16]", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "31", "problem_type": null, "exam": "HMMT", "problem": "There exists a unique circle that is both tangent to the parabola \\(y = x^{2}\\) at two points and tangent to the curve \\(x = \\sqrt{\\frac{y^{3}}{1 - y}}\\) . Compute the radius of this circle.", "solution": "![](data:image/jpeg;base64,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)\n \n\nWe can square both sides of the second curve to get \\(x^{2} = \\frac{y^{3}}{1 - y}\\) , which further rearranges to \n\n\\[\\frac{x^{2}}{(x^{2} + y^{2})^{2}} = \\frac{y}{x^{2} + y^{2}}.\\] \n\nThis relation implies that curves \\(y = x^{2}\\) and \\(x^{2} = \\frac{y^{3}}{1 - y}\\) map to each other under inversion about the unit circle \\(x^{2} + y^{2} = 1\\) . Therefore, the unique circle we seek must be invariant under inversion about \\(x^{2} + y^{2} = 1\\) . \n\nSince the circle is tangent to \\(y = x^{2}\\) , we know that the circle is of the form \n\n\\[x^{2} + (y - y_{0})^{2} = r^{2}.\\] \n\nWe know that the length of the tangent from \\((0,0)\\) to this circle is 1. Since the distance from \\((0,0)\\) to the center of the circle is \\(y_{0}\\) , using the Pythagorean Theorem gives \\(r^{2} + 1 = y_{0}^{2}\\) . Because the parabola \\(y = x^{2}\\) is tangent to this circle at two distinct points, the equation \\(x^{2} + (x^{2} - y_{0})^{2} = r^{2} = y_{0}^{2} - 1\\) must have two double roots. Therefore, \n\n\\[x^{2} + (x^{2} - y_{0})^{2} - (y_{0}^{2} - 1) = x^{4} - (2y_{0} - 1)x^{2} + 1\\] \n\nmust be a perfect square, so \\(2y_{0} - 1 = 2 \\implies y_{0} = \\frac{3}{2}\\) . This means \\(r^{2} = y_{0}^{2} - 1 = \\frac{5}{4}\\) , so the radius of the circle is \\(\\left[\\frac{\\sqrt{5}}{2}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n31. [16]", "solution_match": "\nSolution: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "31", "problem_type": null, "exam": "HMMT", "problem": "There exists a unique circle that is both tangent to the parabola \\(y = x^{2}\\) at two points and tangent to the curve \\(x = \\sqrt{\\frac{y^{3}}{1 - y}}\\) . Compute the radius of this circle.", "solution": "![md5:8ed7b13c95d2c464ecbb46a164de476c](8ed7b13c95d2c464ecbb46a164de476c.jpeg)\n \n\nWe can square both sides of the second curve to get \\(x^{2} = \\frac{y^{3}}{1 - y}\\) , which further rearranges to \n\n\\[\\frac{x^{2}}{(x^{2} + y^{2})^{2}} = \\frac{y}{x^{2} + y^{2}}.\\] \n\nThis relation implies that curves \\(y = x^{2}\\) and \\(x^{2} = \\frac{y^{3}}{1 - y}\\) map to each other under inversion about the unit circle \\(x^{2} + y^{2} = 1\\) . Therefore, the unique circle we seek must be invariant under inversion about \\(x^{2} + y^{2} = 1\\) . \n\nSince the circle is tangent to \\(y = x^{2}\\) , we know that the circle is of the form \n\n\\[x^{2} + (y - y_{0})^{2} = r^{2}.\\] \n\nWe know that the length of the tangent from \\((0,0)\\) to this circle is 1. Since the distance from \\((0,0)\\) to the center of the circle is \\(y_{0}\\) , using the Pythagorean Theorem gives \\(r^{2} + 1 = y_{0}^{2}\\) . Because the parabola \\(y = x^{2}\\) is tangent to this circle at two distinct points, the equation \\(x^{2} + (x^{2} - y_{0})^{2} = r^{2} = y_{0}^{2} - 1\\) must have two double roots. Therefore, \n\n\\[x^{2} + (x^{2} - y_{0})^{2} - (y_{0}^{2} - 1) = x^{4} - (2y_{0} - 1)x^{2} + 1\\] \n\nmust be a perfect square, so \\(2y_{0} - 1 = 2 \\implies y_{0} = \\frac{3}{2}\\) . This means \\(r^{2} = y_{0}^{2} - 1 = \\frac{5}{4}\\) , so the radius of the circle is \\(\\left[\\frac{\\sqrt{5}}{2}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n31. [16]", "solution_match": "\nSolution: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "32", "problem_type": null, "exam": "HMMT", "problem": "In the coordinate plane, a closed lattice loop of length \\(2n\\) is a sequence of lattice points \\(P_{0}, P_{1}, P_{2}, \\ldots , P_{2n}\\) such that \\(P_{0}\\) and \\(P_{2n}\\) are both the origin and \\(P_{i}P_{i + 1} = 1\\) for each \\(i\\) . A closed lattice loop of length 2026 is chosen uniformly at random from all such loops. Let \\(k\\) be the maximum integer such that the line \\(\\ell\\) with equation \\(x + y = k\\) passes through at least one point of the loop. Compute the expected number of indices \\(i\\) such that \\(0 \\leq i \\leq 2025\\) and \\(P_{i}\\) lies on \\(\\ell\\) .\n\n\n\n(A lattice point is a point with integer coordinates.)", "solution": "Answer: \\(\\frac{1013}{507}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n32. [16]", "solution_match": "\nProposed by: Carlos Rodriguez, Jordan Lefkowitz \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "32", "problem_type": null, "exam": "HMMT", "problem": "In the coordinate plane, a closed lattice loop of length \\(2n\\) is a sequence of lattice points \\(P_{0}, P_{1}, P_{2}, \\ldots , P_{2n}\\) such that \\(P_{0}\\) and \\(P_{2n}\\) are both the origin and \\(P_{i}P_{i + 1} = 1\\) for each \\(i\\) . A closed lattice loop of length 2026 is chosen uniformly at random from all such loops. Let \\(k\\) be the maximum integer such that the line \\(\\ell\\) with equation \\(x + y = k\\) passes through at least one point of the loop. Compute the expected number of indices \\(i\\) such that \\(0 \\leq i \\leq 2025\\) and \\(P_{i}\\) lies on \\(\\ell\\) .\n\n\n\n(A lattice point is a point with integer coordinates.)", "solution": "We claim that if 2026 is replaced with \\(2n\\) , the answer is \\(\\frac{2n}{n + 1}\\) . \n\nWrite the path as a sequence of \\(U\\) , \\(D\\) , \\(L\\) , and \\(R\\) moves. The possible sequences that can result are precisely those with an equal number of \\(U\\) 's and \\(D\\) 's, and an equal number of \\(R\\) 's and \\(L\\) 's. We first project this sequence onto a single dimension by converting each \\(U\\) and \\(R\\) to a 1, and each \\(D\\) and \\(L\\) to a \\(- 1\\) . The resulting sequence will have an equal number of 1's and \\(- 1\\) 's. \n\nWe claim that every such sequence of \\(n\\) 1's and \\(n - 1\\) 's corresponds to the same number of closed lattice loops. Indeed, given such a sequence, a corresponding lattice loop can be made by replacing all 1's with \\(U\\) 's and \\(R\\) 's, and all \\(- 1\\) 's with \\(D\\) 's and \\(L\\) 's, so that there are an equal number of \\(U\\) 's and \\(D\\) 's. Nothing in this replacement process is order- dependent, so the number of ways to create this loop does not depend on the initial sequence. \n\nWe can see that each of the 1's move the path towards \\(\\ell\\) and the \\(- 1\\) 's move the path away. Hence, we can think of the path as a one- dimensional walk, starting and ending in the same place, where the points on \\(\\ell\\) correspond exactly to the maxima of this one- dimensional walk. \n\nUsing Catalan numbers, the probability that any given point is at the maxima is \n\n\\[\\frac{\\frac{1}{n + 1}\\binom{2n}{n}}{\\binom{2n}{n}} = \\frac{1}{n + 1},\\] \n\nand thus by linearity, the expected number of \\(i \\in [0, 2025]\\) such that \\(P_{i}\\) is on \\(\\ell\\) is \\(\\frac{2n}{n + 1}\\) . Plugging in \\(n = 1013\\) gives a final answer of \\(\\left[\\frac{1013}{507}\\right]\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n32. [16]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "33", "problem_type": null, "exam": "HMMT", "problem": "Estimate the total number of pages that teams submitted to the Team Round this year. (All pages associated to at least one problem number count as submitted pages, even blank cover sheets for a problem.) \n\nSubmit a positive integer \\(E\\) . If the correct answer is \\(A\\) , you will receive \\(\\max \\left(0, \\left[20 \\left(1 - \\left(\\frac{|E - A|}{100}\\right)^{2 / 3}\\right)\\right]\\right)\\) points.", "solution": "Answer: \\(\\boxed{1003}\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-guts-solutions.jsonl", "problem_match": "\n33. [20]", "solution_match": "\nProposed by: Derek Liu \n\n"}} diff --git a/HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl b/HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl index 5015c03e73b6167b8304e80ad21bdc40e71abd94..204a21cacbd2fc9093b502eeaeab16d1c5d59740 100644 --- a/HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl +++ b/HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl @@ -2,22 +2,22 @@ {"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": null, "exam": "HMMT", "problem": "Let \\(a\\) , \\(b\\) , and \\(c\\) be pairwise distinct positive integers such that \\(\\frac{1}{a}\\) , \\(\\frac{1}{b}\\) , \\(\\frac{1}{c}\\) is an increasing arithmetic sequence in that order. Prove that \\(\\gcd (a,b) > 1\\) .", "solution": "Observe that \\(\\frac{2}{b} -\\frac{1}{a} = \\frac{1}{c}\\) , so \\((2a - b)c = ab\\) and thus \\(2a - b \\mid ab\\) . If we assume that \\(\\gcd (a,b) = 1\\) , then \\(\\gcd (2a - b,a) = 1\\) , so \\(2a - b \\mid b\\) . Then \\(2a - b \\mid (2a - b) + b = 2a\\) , so \\(2a - b \\mid \\gcd (2a,b) \\leq 2\\) . Thus \\(2a - b \\leq 2\\) . But \\(a > b\\) , contradiction. Thus, \\(\\gcd (a,b) > 1\\) , as desired.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n1. [20]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": null, "exam": "HMMT", "problem": "A polyomino is a connected figure constructed by joining one or more unit squares edge-to-edge. Determine, with proof, the number of non-congruent polyominoes with no holes, perimeter 180, and area 2024.", "solution": "Answer: 2", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n2. [25]", "solution_match": "\nProposed by: Albert Wang \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": null, "exam": "HMMT", "problem": "A polyomino is a connected figure constructed by joining one or more unit squares edge-to-edge. Determine, with proof, the number of non-congruent polyominoes with no holes, perimeter 180, and area 2024.", "solution": "Define the bounding box of a polyomino to be the smallest axis-aligned rectangle that contains the entire polyomino. Suppose a polyomino satisfying the given conditions has a bounding box with dimensions \\(w \\times h\\) . \n\nClaim 1. \\(w + h \\leq 90\\) . \n\nProof. The polyomino has at least \\(2w\\) horizontal edges and at least \\(2h\\) vertical edges. Moreover, it has a perimeter of 180. Therefore, \\(2w + 2h \\leq 180\\) , so \\(w + h \\leq 90\\) . \\(\\square\\) \n\nClaim 2. The dimensions of the bounding box are either \\(44 \\times 46\\) , \\(45 \\times 45\\) , or \\(46 \\times 44\\) . \n\nProof. Note that \\(hw \\geq 2024\\) since it contains the polyomino with area 2024. Suppose for sake of contradiction that \\(h + w \\leq 89\\) . Then, \n\n\\[(h - w)^{2} = (h + w)^{2} - 4hw \\leq 89^{2} - 4 \\cdot 2024 = -175,\\] \n\ncontradiction. Therefore, \\(h + w = 90\\) , so we can let \\((h,w) = (45 + x,45 - x)\\) . Then, \\(2025 - x^{2} = hw \\geq 2024\\) implies that \\(x \\in \\{- 1,0,1\\}\\) , as desired. \\(\\square\\) \n\nIn the first and third cases, the bounding box has area 2024, so it must be the entire polyomino, giving us the \\(44 \\times 46\\) rectangle (and its rotation) as a possible answer. In the second case, the bounding box has area 2025, so one cell must be removed to form the polyomino. Removing the corner cell yields a polyomino with perimeter 180, and removing any other cells yields a polyomino with perimeter greater than 180. Therefore, the only other possibility is a \\(45 \\times 45\\) square missing a corner. Thus the answer is \\(\\boxed{2}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n2. [25]", "solution_match": "\nSolution: "}} -{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\omega_{1}\\) and \\(\\omega_{2}\\) be two circles intersecting at distinct points \\(A\\) and \\(B\\) . Point \\(X\\) varies along \\(\\omega_{1}\\) , and point \\(Y\\) on \\(\\omega_{2}\\) is chosen such that \\(AB\\) bisects the angle \\(\\angle XAY\\) . Prove that as \\(X\\) varies along \\(\\omega_{1}\\) , the circumcenter of \\(\\triangle AXY\\) (if it exists) varies along a fixed line.", "solution": "Solution 1:\n\n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(O_{1}\\) , \\(O_{2}\\) , and \\(O\\) be the centers of \\(\\omega_{1}\\) , \\(\\omega_{2}\\) , and the circumcircle of \\(\\triangle AXY\\) , respectively. \n\nWe claim that triangle \\(O O_{1}O_{2}\\) is isosceles with \\(O O_{1} = O O_{2}\\) , and thus in particular \\(O\\) always lies on the perpendicular bisector of \\(O_{1}O_{2}\\) . \n\nTo this end, observe that \\(O O_{1} \\perp A X\\) and \\(O_{1}O_{2} \\perp A B\\) , so \\(\\angle O O_{1}O_{2} = \\angle X A B\\) . Analogously, \\(\\angle O O_{2}O_{1} = \\angle Y A B\\) . So indeed \\(O O_{1}O_{2}\\) is isosceles, and we are done. \n\nRemark. One may also consider the antipodes of \\(A\\) on \\(\\omega_{1}\\) and \\(\\omega_{2}\\) for an equivalent but more natural angle- chase.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n3. [30]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkka \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\omega_{1}\\) and \\(\\omega_{2}\\) be two circles intersecting at distinct points \\(A\\) and \\(B\\) . Point \\(X\\) varies along \\(\\omega_{1}\\) , and point \\(Y\\) on \\(\\omega_{2}\\) is chosen such that \\(AB\\) bisects the angle \\(\\angle XAY\\) . Prove that as \\(X\\) varies along \\(\\omega_{1}\\) , the circumcenter of \\(\\triangle AXY\\) (if it exists) varies along a fixed line.", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(A^{\\prime}\\) be the \\(A\\) - antipode in circle \\((A X Y)\\) . It suffices to show that \\(A^{\\prime}\\) lies on a fixed line. We will show that this line is one that is parallel to \\(A B\\) . \n\nLet \\(M\\) be the second intersection of line \\(A B\\) with circle \\((A X Y)\\) , and let \\(N\\) be the antipode of \\(M\\) on this circle. Since \\(A M A^{\\prime}N\\) is a rectangle with \\(N\\) lying on the line through \\(A\\) perpendicular to \\(A B\\) , it suffices to show that \\(N\\) is fixed (independent of \\(X\\) and \\(Y\\) ). \n\nTo this end, take an inversion at \\(A\\) with arbitrary radius, denoting images with \\(\\bullet \\mapsto \\bullet^{*}\\) . \n\nObserve that \\(X^{*}\\) and \\(Y^{*}\\) lie on the fixed lines \\(\\ell_{1} = \\omega_{1}^{*}\\) and \\(\\ell_{2} = \\omega_{2}^{*}\\) . Let \\(\\ell\\) be the line through \\(A\\) perpendicular to \\(A B^{*}\\) , and suppose that \\(\\ell_{1}\\) and \\(\\ell_{2}\\) intersect \\(\\ell\\) at \\(P\\) and \\(Q\\) , respectively. \n\nSince \\(\\angle X A B = \\angle B A Y\\) , we have \\(\\angle X^{*}A B^{*} = \\angle B^{*}A Y^{*}\\) . Circles \\(\\omega_{1}\\) , \\(\\omega_{2}\\) , and \\((A X Y)\\) are mapped to lines \\(B^{*}X^{*}\\) , \\(B^{*}Y^{*}\\) , and \\(X^{*}Y^{*}\\) . As \\(A N \\perp A B\\) , it follows that \\(N^{*}\\) is the intersection of \\(X^{*}Y^{*}\\) and \\(\\ell\\) .\n\n\n\nFinally, observe that \\((N^{*},A;P,Q)\\stackrel {B^{*}}{=}(N^{*},M^{*};X,Y)\\) is a harmonic bundle, as \\(A M^{*}\\) bisects \\(\\angle X^{*}A Y^{*}\\) and \\(\\angle M^{*}A N^{*} = 90^{\\circ}\\) . Since \\(A\\) , \\(P\\) , and \\(Q\\) are fixed, so is \\(N^{*}\\) . Thus \\(N\\) is fixed, and \\(O\\) lies on the perpendicular bisector of \\(A N\\) , which is also fixed. \n\nRemark. An alternative approach to the last paragraph is to recall Blanchet's theorem, which states that \\(P Y^{*}\\) , \\(Q X^{*}\\) , and \\(A B^{*}\\) are concurrent. By Ceva and Menelaus, we get that \\((N^{*},A;P,Q) = - 1\\) . \n\nRemark. If one projects the kite/harmonic quadrilateral \\(N X M Y\\) from \\(A^{\\prime}\\) onto the line through the antipodes defined in the previous remark, we obtain that \\(A^{\\prime}N\\) (a line parallel to \\(A B\\) ) passes through the midpoint of the two antipodes, directly finishing.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n3. [30]", "solution_match": "\nSolution 2: \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\omega_{1}\\) and \\(\\omega_{2}\\) be two circles intersecting at distinct points \\(A\\) and \\(B\\) . Point \\(X\\) varies along \\(\\omega_{1}\\) , and point \\(Y\\) on \\(\\omega_{2}\\) is chosen such that \\(AB\\) bisects the angle \\(\\angle XAY\\) . Prove that as \\(X\\) varies along \\(\\omega_{1}\\) , the circumcenter of \\(\\triangle AXY\\) (if it exists) varies along a fixed line.", "solution": "Solution 1:\n\n\n![md5:d98306254a4727f82e4d13898cfcfd32](d98306254a4727f82e4d13898cfcfd32.jpeg)\n \n\nLet \\(O_{1}\\) , \\(O_{2}\\) , and \\(O\\) be the centers of \\(\\omega_{1}\\) , \\(\\omega_{2}\\) , and the circumcircle of \\(\\triangle AXY\\) , respectively. \n\nWe claim that triangle \\(O O_{1}O_{2}\\) is isosceles with \\(O O_{1} = O O_{2}\\) , and thus in particular \\(O\\) always lies on the perpendicular bisector of \\(O_{1}O_{2}\\) . \n\nTo this end, observe that \\(O O_{1} \\perp A X\\) and \\(O_{1}O_{2} \\perp A B\\) , so \\(\\angle O O_{1}O_{2} = \\angle X A B\\) . Analogously, \\(\\angle O O_{2}O_{1} = \\angle Y A B\\) . So indeed \\(O O_{1}O_{2}\\) is isosceles, and we are done. \n\nRemark. One may also consider the antipodes of \\(A\\) on \\(\\omega_{1}\\) and \\(\\omega_{2}\\) for an equivalent but more natural angle- chase.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n3. [30]", "solution_match": "\nProposed by: Pitchayut Saengrungkonkka \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\omega_{1}\\) and \\(\\omega_{2}\\) be two circles intersecting at distinct points \\(A\\) and \\(B\\) . Point \\(X\\) varies along \\(\\omega_{1}\\) , and point \\(Y\\) on \\(\\omega_{2}\\) is chosen such that \\(AB\\) bisects the angle \\(\\angle XAY\\) . Prove that as \\(X\\) varies along \\(\\omega_{1}\\) , the circumcenter of \\(\\triangle AXY\\) (if it exists) varies along a fixed line.", "solution": "![md5:ae48eed2043117eba1dbe2e28f2c5e1a](ae48eed2043117eba1dbe2e28f2c5e1a.jpeg)\n \n\nLet \\(A^{\\prime}\\) be the \\(A\\) - antipode in circle \\((A X Y)\\) . It suffices to show that \\(A^{\\prime}\\) lies on a fixed line. We will show that this line is one that is parallel to \\(A B\\) . \n\nLet \\(M\\) be the second intersection of line \\(A B\\) with circle \\((A X Y)\\) , and let \\(N\\) be the antipode of \\(M\\) on this circle. Since \\(A M A^{\\prime}N\\) is a rectangle with \\(N\\) lying on the line through \\(A\\) perpendicular to \\(A B\\) , it suffices to show that \\(N\\) is fixed (independent of \\(X\\) and \\(Y\\) ). \n\nTo this end, take an inversion at \\(A\\) with arbitrary radius, denoting images with \\(\\bullet \\mapsto \\bullet^{*}\\) . \n\nObserve that \\(X^{*}\\) and \\(Y^{*}\\) lie on the fixed lines \\(\\ell_{1} = \\omega_{1}^{*}\\) and \\(\\ell_{2} = \\omega_{2}^{*}\\) . Let \\(\\ell\\) be the line through \\(A\\) perpendicular to \\(A B^{*}\\) , and suppose that \\(\\ell_{1}\\) and \\(\\ell_{2}\\) intersect \\(\\ell\\) at \\(P\\) and \\(Q\\) , respectively. \n\nSince \\(\\angle X A B = \\angle B A Y\\) , we have \\(\\angle X^{*}A B^{*} = \\angle B^{*}A Y^{*}\\) . Circles \\(\\omega_{1}\\) , \\(\\omega_{2}\\) , and \\((A X Y)\\) are mapped to lines \\(B^{*}X^{*}\\) , \\(B^{*}Y^{*}\\) , and \\(X^{*}Y^{*}\\) . As \\(A N \\perp A B\\) , it follows that \\(N^{*}\\) is the intersection of \\(X^{*}Y^{*}\\) and \\(\\ell\\) .\n\n\n\nFinally, observe that \\((N^{*},A;P,Q)\\stackrel {B^{*}}{=}(N^{*},M^{*};X,Y)\\) is a harmonic bundle, as \\(A M^{*}\\) bisects \\(\\angle X^{*}A Y^{*}\\) and \\(\\angle M^{*}A N^{*} = 90^{\\circ}\\) . Since \\(A\\) , \\(P\\) , and \\(Q\\) are fixed, so is \\(N^{*}\\) . Thus \\(N\\) is fixed, and \\(O\\) lies on the perpendicular bisector of \\(A N\\) , which is also fixed. \n\nRemark. An alternative approach to the last paragraph is to recall Blanchet's theorem, which states that \\(P Y^{*}\\) , \\(Q X^{*}\\) , and \\(A B^{*}\\) are concurrent. By Ceva and Menelaus, we get that \\((N^{*},A;P,Q) = - 1\\) . \n\nRemark. If one projects the kite/harmonic quadrilateral \\(N X M Y\\) from \\(A^{\\prime}\\) onto the line through the antipodes defined in the previous remark, we obtain that \\(A^{\\prime}N\\) (a line parallel to \\(A B\\) ) passes through the midpoint of the two antipodes, directly finishing.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n3. [30]", "solution_match": "\nSolution 2: \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Jerry places at most one rook in each cell of a \\(2025 \\times 2025\\) grid of cells. A rook attacks another rook if the two rooks are in the same row or column and there are no other rooks between them. \n\nDetermine, with proof, the maximum number of rooks Jerry can place on the grid such that no rook attacks 4 other rooks.", "solution": "Answer: 8096", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n4. [35]", "solution_match": "\nProposed by: Arul Kolla \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Jerry places at most one rook in each cell of a \\(2025 \\times 2025\\) grid of cells. A rook attacks another rook if the two rooks are in the same row or column and there are no other rooks between them. \n\nDetermine, with proof, the maximum number of rooks Jerry can place on the grid such that no rook attacks 4 other rooks.", "solution": "The answer is \\(2024 \\times 4 = 8096\\) . More generally, for an \\(n \\times n\\) grid, the answer is \\(4n - 4\\) . Call a rook that attacks at most 3 other rooks good. \n\nWe use the following observation in both parts of the solution: a rook on the border of the grid must be good. \n\nLower Bound: Place rooks on all \\(4n - 4\\) border cells of the grid. By the above observation, every rook is good. \n\nUpper Bound: Consider any valid placement of rooks, and assume there exists a rook that is not on the border. We can move this rook to the border via a usual rook move, since this rook is good and thus the path to one of the four border cells in its row or column must be empty. \n\nAfter this move, we claim the placement of rooks is still valid. Indeed: \n\n- the moved rook is now on the border, so by the observation above, it must be good; \n\n- any rook that used to attack this rook cannot attack more rooks after the move, so such rooks must still be good; \n\n- any rook attacked in the final position must be either: \n\n- opposite the direction moved, in which case it attacked the moved rook both before and after the move (so is still good), or \n- perpendicular to the direction moved, in which case it is a border rook and must always be good. \n\nBy repeating the above process, we can always move from any good position to one where all rooks are on the border. This implies that the number of rooks in any good position is at most \\(4n - 4\\) . When \\(n = 2024\\) , the answer is \\(4n - 4 = \\left\\lfloor 8096 \\right\\rfloor\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n4. [35]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Jerry places at most one rook in each cell of a \\(2025 \\times 2025\\) grid of cells. A rook attacks another rook if the two rooks are in the same row or column and there are no other rooks between them. \n\nDetermine, with proof, the maximum number of rooks Jerry can place on the grid such that no rook attacks 4 other rooks.", "solution": "Consider the set of all rooks which are either the leftmost or rightmost in their row, or the topmost or bottommost in their column. Note that this set must include every rook, as any rook not in this set attacks a rook in all 4 directions. \n\nEach column contributes at most 2 rooks to this set, and each row contributes at most 2 rooks. We can safely ignore the top and bottom rows in this count, as any rook in the top or bottom row is already the topmost or bottommost rook in its column. Thus the number of rooks in the set is at most \\(2 \\cdot (2025 + 2025 - 2) = \\left\\lfloor 8096 \\right\\rfloor\\) , which can be constructed as seen before.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n4. [35]", "solution_match": "\nSolution 2: "}} -{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with orthocenter \\(H\\) . Points \\(E\\) and \\(F\\) are on segments \\(\\overline{AC}\\) and \\(\\overline{AB}\\) , respectively, such that \\(\\angle EHF = 90^{\\circ}\\) . Let \\(X\\) be the foot of the altitude from \\(H\\) to \\(\\overline{EF}\\) . Prove that \\(\\angle BXC = 90^{\\circ}\\) .", "solution": "Solution 1: \n\n![](data:image/jpeg;base64,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)\n \n\nWe use \\(\\angle\\) to denote directed angles. Let \\(Y\\) and \\(Z\\) be the feet of the altitudes from \\(B\\) and \\(C\\) to \\(AC\\) and \\(AB\\) , respectively. Then \\(\\angle HZF = \\angle HXF = 90^{\\circ}\\) , so \\(HZFX\\) is cyclic. Similarly, \\(HYEX\\) is cyclic. Therefore, \n\n\\[\\angle BYX = \\angle HYX = \\angle HEX = \\angle FHX = \\angle FZX = \\angle BZX.\\] \n\nHence, \\(BZXY\\) is cyclic. A symmetric argument shows \\(C\\) lies on this circle as well. It follows that \\(\\angle BXC = \\angle BYC = 90^{\\circ}\\) , as desired.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n5. [35]", "solution_match": "\nProposed by: Pitchayut Saengrungkonka \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with orthocenter \\(H\\) . Points \\(E\\) and \\(F\\) are on segments \\(\\overline{AC}\\) and \\(\\overline{AB}\\) , respectively, such that \\(\\angle EHF = 90^{\\circ}\\) . Let \\(X\\) be the foot of the altitude from \\(H\\) to \\(\\overline{EF}\\) . Prove that \\(\\angle BXC = 90^{\\circ}\\) .", "solution": "Let \\(T\\) be the foot of altitude from \\(A\\) to \\(BC\\) . For any point \\(X\\) , let \\(X'\\) denote the image of \\(X\\) under the negative inversion at \\(H\\) with radius \\(\\sqrt{HA \\cdot HT}\\) . Then \\(B'\\) and \\(C'\\) are the feet of the altitudes from \\(B\\) and \\(C\\) to sides \\(AC\\) and \\(AB\\) , respectively. \n\nClaim 1. \\(\\angle BX'C = 90^{\\circ}\\) . \n\nProof. Because \\(HX \\perp EF\\) and \\(HE \\perp HF\\) , the quadrilateral \\(HE'X'F'\\) is a rectangle. Note that \\(\\angle BE'H = \\angle EB'H = 90^{\\circ}\\) and \\(\\angle X'E'H = 90^{\\circ}\\) . Consequently, \\(X', B\\) , and \\(E'\\) are collinear. Similarly, \\(X', C\\) , and \\(F'\\) are collinear. Then, \\(\\angle BX'C = \\angle E'X'F' = 90^{\\circ}\\) , as desired. \\(\\square\\) \n\nFrom the claim, \\(X'\\) lies on the circle with diameter \\(BC\\) (which \\(B'\\) and \\(C'\\) also lie on). Since this circle is invariant under the inversion, \\(X\\) lies on the circle with diameter \\(BC\\) as well, and \\(\\angle BXC = 90^{\\circ}\\) .\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n5. [35]", "solution_match": "\nSolution 2: "}} -{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with orthocenter \\(H\\) . Points \\(E\\) and \\(F\\) are on segments \\(\\overline{AC}\\) and \\(\\overline{AB}\\) , respectively, such that \\(\\angle EHF = 90^{\\circ}\\) . Let \\(X\\) be the foot of the altitude from \\(H\\) to \\(\\overline{EF}\\) . Prove that \\(\\angle BXC = 90^{\\circ}\\) .", "solution": "We begin by proving the following lemma. \n\nLemma 2. Let \\(A B C D\\) be a quadrilateral and \\(P\\) be a point such that \\(\\angle A P B + \\angle C P D = 180^{\\circ}\\) . Then, the feet of the altitudes from \\(P\\) to each side of \\(A B C D\\) are concyclic. \n\nProof. Let \\(P_{A},P_{B},P_{C},P_{D}\\) the feet of the altitudes from \\(P\\) to \\(A B\\) , \\(B C\\) , \\(C D\\) , and \\(D A\\) respectively. Note that quadrilateral \\(P_{A}P P_{B}B\\) is cyclic. By angle chasing, \n\n\\[\\angle P_{D}P_{A}P_{B} + \\angle P_{B}P_{C}P_{D} = \\angle P_{D}P_{A}P + \\angle P P_{A}P_{B} + \\angle P_{B}P_{C}P + \\angle P P_{C}P_{D}\\] \\[\\qquad = \\angle P_{D}A P + \\angle P B P_{B} + \\angle P_{B}C P + \\angle P D P_{D}\\] \\[\\qquad = (180^{\\circ} - \\angle A P D) + (180^{\\circ} - \\angle B P C)\\] \\[\\qquad = \\angle B P A + \\angle D P C\\] \\[\\qquad = 180^{\\circ}.\\] \n\nTherefore, \\(P_{A}P_{B}P_{C}P_{D}\\) is cyclic as desired. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nLet \\(P_{\\infty}\\) be the point at infinity on line \\(A C\\) . Let \\(Y\\) and \\(Z\\) be the feet of the altitudes from \\(H\\) to \\(A B\\) and \\(A C\\) , respectively. Note that \\(\\angle E H F + \\angle B H P_{\\infty} = 90^{\\circ} + 90^{\\circ} = 180^{\\circ}\\) . Thus, the feet of the altitudes from \\(H\\) to \\(E F\\) , \\(E B\\) , \\(B P_{\\infty}\\) , and \\(C P_{\\infty}\\) are concyclic. In other words, \\(X Y Z B\\) is cyclic. Since \\(B C Y Z\\) is a cyclic quadrilateral, we conclude \\(X\\) lies on this circle, giving us that \\(\\angle B X C = 90^{\\circ}\\) as desired. \n\nRemark. Here's another way to prove the lemma. \n\nIt is well known that, with the provided condition, there is a point \\(P^{\\prime}\\) that is the isogonal conjugate of \\(P\\) with respect to quadrilateral \\(A B C D\\) . Let \\(P_{A}\\) , \\(P_{B}\\) , \\(P_{C}\\) , and \\(P_{D}\\) be the feet of the altitudes from \\(P\\) to \\(A B\\) , \\(B C\\) , \\(C D\\) , and \\(D A\\) , respectively, and let \\(Q\\) be the foot of the altitude from \\(P^{\\prime}\\) to \\(A B\\) . Because \\(P\\) and \\(P^{\\prime}\\) are isogonal conjugates with respect to the triangle formed by lines \\(A B\\) , \\(B C\\) , and \\(C D\\) , we have \\(P_{A}P_{B}P_{C}Q\\) is cyclic. Similarly, because \\(P\\) and \\(P^{\\prime}\\) are also isogonal conjugate with respect to the triangle formed by lines \\(D A\\) , \\(A B\\) , and \\(B C\\) , we have \\(P_{D}P_{A}P_{B}Q\\) is cyclic. Consequently, \\(P_{A}P_{B}P_{C}P_{C}\\) is cyclic as desired.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n5. [35]", "solution_match": "\nSolution 3: "}} +{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with orthocenter \\(H\\) . Points \\(E\\) and \\(F\\) are on segments \\(\\overline{AC}\\) and \\(\\overline{AB}\\) , respectively, such that \\(\\angle EHF = 90^{\\circ}\\) . Let \\(X\\) be the foot of the altitude from \\(H\\) to \\(\\overline{EF}\\) . Prove that \\(\\angle BXC = 90^{\\circ}\\) .", "solution": "Solution 1: \n\n![md5:034f5986e2970ee1d6cd8c5f3ebb9d68](034f5986e2970ee1d6cd8c5f3ebb9d68.jpeg)\n \n\nWe use \\(\\angle\\) to denote directed angles. Let \\(Y\\) and \\(Z\\) be the feet of the altitudes from \\(B\\) and \\(C\\) to \\(AC\\) and \\(AB\\) , respectively. Then \\(\\angle HZF = \\angle HXF = 90^{\\circ}\\) , so \\(HZFX\\) is cyclic. Similarly, \\(HYEX\\) is cyclic. Therefore, \n\n\\[\\angle BYX = \\angle HYX = \\angle HEX = \\angle FHX = \\angle FZX = \\angle BZX.\\] \n\nHence, \\(BZXY\\) is cyclic. A symmetric argument shows \\(C\\) lies on this circle as well. It follows that \\(\\angle BXC = \\angle BYC = 90^{\\circ}\\) , as desired.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n5. [35]", "solution_match": "\nProposed by: Pitchayut Saengrungkonka \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with orthocenter \\(H\\) . Points \\(E\\) and \\(F\\) are on segments \\(\\overline{AC}\\) and \\(\\overline{AB}\\) , respectively, such that \\(\\angle EHF = 90^{\\circ}\\) . Let \\(X\\) be the foot of the altitude from \\(H\\) to \\(\\overline{EF}\\) . Prove that \\(\\angle BXC = 90^{\\circ}\\) .", "solution": "Let \\(T\\) be the foot of altitude from \\(A\\) to \\(BC\\) . For any point \\(X\\) , let \\(X'\\) denote the image of \\(X\\) under the negative inversion at \\(H\\) with radius \\(\\sqrt{HA \\cdot HT}\\) . Then \\(B'\\) and \\(C'\\) are the feet of the altitudes from \\(B\\) and \\(C\\) to sides \\(AC\\) and \\(AB\\) , respectively. \n\nClaim 1. \\(\\angle BX'C = 90^{\\circ}\\) . \n\nProof. Because \\(HX \\perp EF\\) and \\(HE \\perp HF\\) , the quadrilateral \\(HE'X'F'\\) is a rectangle. Note that \\(\\angle BE'H = \\angle EB'H = 90^{\\circ}\\) and \\(\\angle X'E'H = 90^{\\circ}\\) . Consequently, \\(X', B\\) , and \\(E'\\) are collinear. Similarly, \\(X', C\\) , and \\(F'\\) are collinear. Then, \\(\\angle BX'C = \\angle E'X'F' = 90^{\\circ}\\) , as desired. \\(\\square\\) \n\nFrom the claim, \\(X'\\) lies on the circle with diameter \\(BC\\) (which \\(B'\\) and \\(C'\\) also lie on). Since this circle is invariant under the inversion, \\(X\\) lies on the circle with diameter \\(BC\\) as well, and \\(\\angle BXC = 90^{\\circ}\\) .\n\n\n![md5:fce69e9afe523959d3e7279c83798c3e](fce69e9afe523959d3e7279c83798c3e.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n5. [35]", "solution_match": "\nSolution 2: "}} +{"year": "2025", "tier": "T4", "problem_label": "5", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with orthocenter \\(H\\) . Points \\(E\\) and \\(F\\) are on segments \\(\\overline{AC}\\) and \\(\\overline{AB}\\) , respectively, such that \\(\\angle EHF = 90^{\\circ}\\) . Let \\(X\\) be the foot of the altitude from \\(H\\) to \\(\\overline{EF}\\) . Prove that \\(\\angle BXC = 90^{\\circ}\\) .", "solution": "We begin by proving the following lemma. \n\nLemma 2. Let \\(A B C D\\) be a quadrilateral and \\(P\\) be a point such that \\(\\angle A P B + \\angle C P D = 180^{\\circ}\\) . Then, the feet of the altitudes from \\(P\\) to each side of \\(A B C D\\) are concyclic. \n\nProof. Let \\(P_{A},P_{B},P_{C},P_{D}\\) the feet of the altitudes from \\(P\\) to \\(A B\\) , \\(B C\\) , \\(C D\\) , and \\(D A\\) respectively. Note that quadrilateral \\(P_{A}P P_{B}B\\) is cyclic. By angle chasing, \n\n\\[\\angle P_{D}P_{A}P_{B} + \\angle P_{B}P_{C}P_{D} = \\angle P_{D}P_{A}P + \\angle P P_{A}P_{B} + \\angle P_{B}P_{C}P + \\angle P P_{C}P_{D}\\] \\[\\qquad = \\angle P_{D}A P + \\angle P B P_{B} + \\angle P_{B}C P + \\angle P D P_{D}\\] \\[\\qquad = (180^{\\circ} - \\angle A P D) + (180^{\\circ} - \\angle B P C)\\] \\[\\qquad = \\angle B P A + \\angle D P C\\] \\[\\qquad = 180^{\\circ}.\\] \n\nTherefore, \\(P_{A}P_{B}P_{C}P_{D}\\) is cyclic as desired. \n\n![md5:566f3a0c1030d06209b8a6b669b29550](566f3a0c1030d06209b8a6b669b29550.jpeg)\n\n\n\n\nLet \\(P_{\\infty}\\) be the point at infinity on line \\(A C\\) . Let \\(Y\\) and \\(Z\\) be the feet of the altitudes from \\(H\\) to \\(A B\\) and \\(A C\\) , respectively. Note that \\(\\angle E H F + \\angle B H P_{\\infty} = 90^{\\circ} + 90^{\\circ} = 180^{\\circ}\\) . Thus, the feet of the altitudes from \\(H\\) to \\(E F\\) , \\(E B\\) , \\(B P_{\\infty}\\) , and \\(C P_{\\infty}\\) are concyclic. In other words, \\(X Y Z B\\) is cyclic. Since \\(B C Y Z\\) is a cyclic quadrilateral, we conclude \\(X\\) lies on this circle, giving us that \\(\\angle B X C = 90^{\\circ}\\) as desired. \n\nRemark. Here's another way to prove the lemma. \n\nIt is well known that, with the provided condition, there is a point \\(P^{\\prime}\\) that is the isogonal conjugate of \\(P\\) with respect to quadrilateral \\(A B C D\\) . Let \\(P_{A}\\) , \\(P_{B}\\) , \\(P_{C}\\) , and \\(P_{D}\\) be the feet of the altitudes from \\(P\\) to \\(A B\\) , \\(B C\\) , \\(C D\\) , and \\(D A\\) , respectively, and let \\(Q\\) be the foot of the altitude from \\(P^{\\prime}\\) to \\(A B\\) . Because \\(P\\) and \\(P^{\\prime}\\) are isogonal conjugates with respect to the triangle formed by lines \\(A B\\) , \\(B C\\) , and \\(C D\\) , we have \\(P_{A}P_{B}P_{C}Q\\) is cyclic. Similarly, because \\(P\\) and \\(P^{\\prime}\\) are also isogonal conjugate with respect to the triangle formed by lines \\(D A\\) , \\(A B\\) , and \\(B C\\) , we have \\(P_{D}P_{A}P_{B}Q\\) is cyclic. Consequently, \\(P_{A}P_{B}P_{C}P_{C}\\) is cyclic as desired.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n5. [35]", "solution_match": "\nSolution 3: "}} {"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": null, "exam": "HMMT", "problem": "Complex numbers \\(\\omega_{1}\\) , ..., \\(\\omega_{n}\\) each have magnitude 1. Let \\(z\\) be a complex number distinct from \\(\\omega_{1}\\) , ..., \\(\\omega_{n}\\) such that \n\n\\[\\frac{z + \\omega_{1}}{z - \\omega_{1}} +\\dots +\\frac{z + \\omega_{n}}{z - \\omega_{n}} = 0.\\] \n\nProve that \\(|z| = 1\\)", "solution": "Solution 1: We show that no solutions \\(z\\) not on the unit circle can exist. First, we eliminate \\(|z| > 1\\) \n\nClaim 1. For all \\(j\\) and \\(|z| > 1\\) , the real part of \\(\\frac{z + \\omega_{j}}{z - \\omega_{j}}\\) is positive. \n\nProof. We use geometry. Note that \\(\\omega_{j}\\) and \\(- \\omega_{j}\\) are antipodes on the unit circle. Since \\(z\\) lies outside the unit circle, it follows that \\(\\angle \\omega_{j}z(- \\omega_{j})\\) is acute. But this means the complex number \\(\\frac{z + \\omega_{j}}{z - \\omega_{j}}\\) lies strictly in the first or fourth quadrant of the complex plane and thus has positive real part, as desired. \\(\\square\\) \n\nIt is then clear that whenever \\(|z| > 1\\) , the sum \\(\\sum_{j = 1}^{n} \\frac{z + \\omega_{j}}{z - \\omega_{j}}\\) has positive real part and thus cannot be 0. The case where \\(|z| < 1\\) is analogous, except \\(\\angle \\omega_{j}z(- \\omega_{j})\\) is obtuse instead, so \\(\\frac{z + \\omega_{j}}{z - \\omega_{j}}\\) has negative real part for all \\(j\\) . Therefore, all solutions \\(z\\) to the original equation must satisfy \\(|z| = 1\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n6. [40]", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "6", "problem_type": null, "exam": "HMMT", "problem": "Complex numbers \\(\\omega_{1}\\) , ..., \\(\\omega_{n}\\) each have magnitude 1. Let \\(z\\) be a complex number distinct from \\(\\omega_{1}\\) , ..., \\(\\omega_{n}\\) such that \n\n\\[\\frac{z + \\omega_{1}}{z - \\omega_{1}} +\\dots +\\frac{z + \\omega_{n}}{z - \\omega_{n}} = 0.\\] \n\nProve that \\(|z| = 1\\)", "solution": "We show more generally that for any positive integers \\(k\\) , \\(a_{1}\\) , ..., \\(a_{k}\\) , and distinct \\(\\omega_{j}\\) on the unit circle, the equation \n\n\\[\\sum_{j = 1}^{k} a_{j} \\left(\\frac{z + \\omega_{i}}{z - \\omega_{j}}\\right) = 0\\] \n\nhas \\(k\\) distinct solutions on the unit circle. The original problem then follows upon consolidating duplicate \\(\\omega_{j}\\) 's. Without loss of generality, assume that \\(\\omega_{1}\\) , ..., \\(\\omega_{k}\\) are in this order going clockwise around the unit circle. \n\nClaim 2. There is a solution on the (clockwise) arc from \\(\\omega_{j}\\) to \\(\\omega_{j + 1}\\) for all \\(j\\) (where \\(\\omega_{k + 1} = \\omega_{1}\\) ). \n\nProof. First, \\(\\omega_{j}\\) and \\(- \\omega_{j}\\) are antipodes on the unit circle, so if \\(z\\) is on the unit circle, \\(\\angle \\omega_{j}z(- \\omega_{j}) = 90^{\\circ}\\) This means \\(\\frac{z + \\omega_{j}}{z - \\omega_{j}}\\) is purely imaginary. Now consider the imaginary part of the left hand side of the equation, which is a real and continuous function on the arc strictly between \\(\\omega_{j}\\) and \\(\\omega_{j + 1}\\) for each \\(j\\) . In particular, as \\(z\\) approaches \\(\\omega_{j + 1}\\) from the clockwise direction, this function approaches \\(\\infty\\) . On the other hand, as \\(z\\) approaches \\(\\omega_{j}\\) from the counterclockwise direction, this function approaches \\(-\\infty\\) . By the Intermediate Value Theorem, there must be a solution on this arc, as desired. \\(\\square\\)\n\n\n\nIt follows that there are at least \\(k\\) solutions on the unit circle. But the equation is equivalent to a polynomial of degree \\(k\\) . Hence, there are exactly \\(k\\) solutions, all of which lie on the unit circle. \n\nRemark. The coefficients \\(a_{j}\\) 's are introduced to handle the case where some of \\(\\omega_{1},\\ldots ,\\omega_{n}\\) are equal. Another way to get around this case is to utilize the fact that roots of polynomials are continuous, so we can take the limit where several \\(\\omega_{j}\\) 's approach each other. \n\nRemark. The Möbius transformation \\(z\\mapsto i\\frac{z - 1}{z + 1}\\) sends the unit circle to a real line. One can rephrase both solutions as working on the real line instead of the unit circle.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n6. [40]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": null, "exam": "HMMT", "problem": "Determine, with proof, whether a square can be dissected into finitely many (not necessarily congruent) triangles, each of which has interior angles \\(30^{\\circ}\\) , \\(75^{\\circ}\\) , and \\(75^{\\circ}\\) .", "solution": "Answer: No", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n7. [45]", "solution_match": "\nProposed by: Derek Liu \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": null, "exam": "HMMT", "problem": "Determine, with proof, whether a square can be dissected into finitely many (not necessarily congruent) triangles, each of which has interior angles \\(30^{\\circ}\\) , \\(75^{\\circ}\\) , and \\(75^{\\circ}\\) .", "solution": "Assume for sake of contradiction that such a dissection exists. It has exactly half as many \\(30^{\\circ}\\) angles as \\(75^{\\circ}\\) angles. \n\nAround any intersection point except the square's vertices, the only angles that can appear are \\(30^{\\circ}\\) , \\(75^{\\circ}\\) , and \\(180^{\\circ}\\) . The only combinations of these that sum to \\(180^{\\circ}\\) or \\(360^{\\circ}\\) are \n\n\\[6\\cdot 30^{\\circ} = 180^{\\circ},\\] \\[30^{\\circ} + 2\\cdot 75^{\\circ} = 180^{\\circ},\\] \\[180^{\\circ} = 180^{\\circ},\\] \\[12\\cdot 30^{\\circ} = 360^{\\circ},\\] \\[7\\cdot 30^{\\circ} + 2\\cdot 75^{\\circ} = 360^{\\circ},\\] \\[2\\cdot 30^{\\circ} + 4\\cdot 75^{\\circ} = 360^{\\circ},\\] \\[6\\cdot 30^{\\circ} + 180^{\\circ} = 360^{\\circ},\\] \\[30^{\\circ} + 2\\cdot 75^{\\circ} + 180^{\\circ} = 360^{\\circ},\\] \\[180^{\\circ} + 180^{\\circ} = 360^{\\circ}.\\] \n\nIn particular, around any such point, there are at least half as many \\(30^{\\circ}\\) angles as \\(75^{\\circ}\\) angles. \n\nHowever, the square's vertices must each be surrounded by three \\(30^{\\circ}\\) angles and zero \\(75^{\\circ}\\) angles, as there is no other way to get a sum of \\(90^{\\circ}\\) . Thus the total number of \\(30^{\\circ}\\) angles in the dissection must be at least 12 more than half the number of \\(75^{\\circ}\\) angles, contradiction. \n\nThus no such dissection exists.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n7. [45]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "7", "problem_type": null, "exam": "HMMT", "problem": "Determine, with proof, whether a square can be dissected into finitely many (not necessarily congruent) triangles, each of which has interior angles \\(30^{\\circ}\\) , \\(75^{\\circ}\\) , and \\(75^{\\circ}\\) .", "solution": "Again assume for sake of contradiction that a dissection exists. Interpret the dissection as a graph \\(G\\) , where the vertices of the graph are the vertices of all the triangles, and edges connect each pair of consecutive vertices along a line segment. \n\nCall a vertex flat if it is on either the boundary of the square (including its corners) or the interior of an edge of any triangle. Let \\(X\\) be the number of flat vertices and \\(Y\\) be the number of non- flat vertices in \\(G\\) . Let \\(E\\) and \\(F\\) be the number of edges and faces (triangles) in the dissection, respectively. Then \\((X + Y) - E + F = 1\\) . \n\nObserving the angle combinations in the first solution, we see that any non- flat vertex must have at least 6 incident edges, and any flat vertex must have at least 4. Thus \\(2E \\geq 6Y + 4X\\) , so \\(E \\geq 3Y + 2X\\) . \n\nThe sum of the angles of all \\(F\\) triangles is \\(\\pi F\\) . Around any non- flat vertex, such angles sum to \\(2\\pi\\) . Around any flat vertex, the angles sum to \\(\\pi\\) , with the exception of the four corners of the square, where they sum to \\(\\pi /2\\) instead. Thus \n\n\\[F\\pi = (X - 4)\\pi +4(\\pi /2) + Y(2\\pi) = (X + 2Y - 2)\\pi ,\\]\n\n\n\nso \\(F = X + 2Y - 2\\) . This means \n\n\\[X + Y - E + F\\leq (X + Y) - (3Y + 2X) + (X + 2Y - 2) = -2,\\] \n\ncontradiction. Thus no dissection exists.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n7. [45]", "solution_match": "\nSolution 2: "}} -{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be a triangle with incenter \\(I\\) . The incircle of triangle \\(\\triangle ABC\\) touches \\(\\overline{BC}\\) at \\(D\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) , and let line \\(AI\\) meet the circumcircle of triangle \\(\\triangle ABC\\) again at \\(L \\neq A\\) . Let \\(\\omega\\) be the circle centered at \\(L\\) tangent to \\(AB\\) and \\(AC\\) . If \\(\\omega\\) intersects segment \\(\\overline{AD}\\) at point \\(P\\) , prove that \\(\\angle IPM = 90^{\\circ}\\) .", "solution": "Solution 1: Let \\(X\\) and \\(Y\\) be the bottom and top point on \\(\\omega\\) (i.e., the tangents of \\(X\\) and \\(Y\\) to \\(\\omega\\) are parallel to \\(BC\\) , and \\(Y\\) and \\(A\\) lie on the same side of \\(BC\\) ). Note that \\(A\\) , \\(P\\) , \\(D\\) , and \\(X\\) are collinear by homothety between the incircle and \\(\\omega\\) . The key claim is the following. \n\nClaim 1. Line \\(IY\\) is tangent to \\(\\omega\\) . \n\nProof. Let the line through \\(I\\) parallel to \\(BC\\) meet \\(AB\\) and \\(AC\\) at \\(B^{\\prime}\\) and \\(C^{\\prime}\\) , respectively. Notice that \\(B^{\\prime}L\\) is the perpendicular bisector of \\(BI\\) , so \\(B^{\\prime}L\\) externally bisects \\(\\angle AB^{\\prime}C^{\\prime}\\) . Similarly, \\(C^{\\prime}L\\) externally bisects \\(\\angle AC^{\\prime}B^{\\prime}\\) . Hence, \\(L\\) is the excenter of \\(\\triangle AB^{\\prime}C^{\\prime}\\) , which means that \\(B^{\\prime}C^{\\prime}\\) is tangent to \\(\\omega\\) . \\(\\square\\) \n\n![](data:image/jpeg;base64,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)\n \n\nNow, we note that \\(LY \\perp BC\\) , so \\(L\\) , \\(Y\\) , and \\(M\\) are collinear (on the perpendicular bisector of \\(BC\\) ). Since \\(\\angle YPX = 90^{\\circ}\\) and \\(\\angle YMD = 90^{\\circ}\\) , \\(PDMY\\) is cyclic. However, \\(IYMD\\) is a rectangle, so \\(IPDMY\\) is a cyclic pentagon. Hence, \\(\\angle IPM = \\angle IDM = 90^{\\circ}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n8. [50]", "solution_match": "\nProposed by: Pitchayut Saengrungkongka \n\n"}} -{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be a triangle with incenter \\(I\\) . The incircle of triangle \\(\\triangle ABC\\) touches \\(\\overline{BC}\\) at \\(D\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) , and let line \\(AI\\) meet the circumcircle of triangle \\(\\triangle ABC\\) again at \\(L \\neq A\\) . Let \\(\\omega\\) be the circle centered at \\(L\\) tangent to \\(AB\\) and \\(AC\\) . If \\(\\omega\\) intersects segment \\(\\overline{AD}\\) at point \\(P\\) , prove that \\(\\angle IPM = 90^{\\circ}\\) .", "solution": "Let the incircle touch \\(AC\\) and \\(AB\\) at \\(E\\) and \\(F\\) , respectively. Let \\(DI\\) intersect \\(EF\\) at \\(X\\) . Let \\(D'\\) be the other intersection of \\(AD\\) and the incircle.\n\n\n\nClaim 2. \\(P M \\parallel D^{\\prime}X\\) . \n\nProof. Consider the homothety at \\(A\\) that sends \\(\\omega\\) to the incircle. It sends \\(L\\) to \\(I\\) and \\(P\\) to \\(D^{\\prime}\\) . Furthermore, it's well- known that \\(X\\) lies on \\(A M\\) . Because \\(I X \\parallel L M\\) , we also have that the homothety sends \\(M\\) to \\(X\\) . These facts imply that \\(D^{\\prime}X \\parallel P M\\) . \\(\\square\\) \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(T\\) be the antipode of \\(D\\) on the incircle. Let \\(A T\\) intersect the incircle again at \\(T^{\\prime}\\) . Since \\(X\\) lies on the polar of \\(A\\) with respect to the incircle, by Brocard's theorem, we have \\(D^{\\prime}\\) , \\(X\\) , and \\(T^{\\prime}\\) are collinear. It is well- known that \\(A T \\parallel I M\\) . Therefore, \\(\\angle D P M = \\angle D D^{\\prime}X = \\angle D D^{\\prime}T^{\\prime} = \\angle D T T^{\\prime} = \\angle D I M\\) . Consequently, \\(I M D P\\) is cyclic, and \\(\\angle I P M = \\angle I D M = 90^{\\circ}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n8. [50]", "solution_match": "\nSolution 2: "}} -{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be a triangle with incenter \\(I\\) . The incircle of triangle \\(\\triangle ABC\\) touches \\(\\overline{BC}\\) at \\(D\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) , and let line \\(AI\\) meet the circumcircle of triangle \\(\\triangle ABC\\) again at \\(L \\neq A\\) . Let \\(\\omega\\) be the circle centered at \\(L\\) tangent to \\(AB\\) and \\(AC\\) . If \\(\\omega\\) intersects segment \\(\\overline{AD}\\) at point \\(P\\) , prove that \\(\\angle IPM = 90^{\\circ}\\) .", "solution": "Let \\(\\omega\\) be tangent to \\(A B\\) and \\(A C\\) at \\(E\\) and \\(F\\) , respectively. Note that these are the feet of the altitudes from \\(L\\) to \\(A B\\) and \\(A C\\) , and \\(L\\) lies on the circumcircle of \\(\\triangle A B C\\) by Fact 5. As \\(M\\) is clearly the foot from \\(L\\) to \\(B C\\) , it follows that \\(E\\) , \\(F\\) , and \\(M\\) are collinear on the Simson Line of \\(L\\) with respect to \\(\\triangle A B C\\) . \n\nLastly, we want \\(P\\) to be on the circle with diameter \\(I M\\) . This circle intersects \\(E F\\) again at the foot from \\(M\\) to \\(A I\\) , which is the midpoint of \\(E F\\) . Let this point be \\(M^{\\prime}\\) . Consider the homothety sending the incircle to \\(\\omega\\) . This clearly sends \\(D\\) to the second intersection of \\(A D\\) and \\(\\omega\\) , which is \\(P^{\\prime}\\) , and it sends \\(I\\) to \\(L\\) . Note that \\(A P\\cdot A P^{\\prime} = A E^{2} = A M\\cdot A L\\) , as the circle with diameter \\(L E\\) is tangent to \\(A E\\) . Thus, \\(P P^{\\prime}M^{\\prime}L\\) is cyclic. Since \\(I D \\parallel L P^{\\prime}\\) , \\(I\\) lies on \\(M^{\\prime}L\\) , and \\(D\\) lies on \\(P P^{\\prime}\\) . By Reim's, we also have \\(P D M^{\\prime}I\\) is cyclic. As \\(I M\\) is a diameter of \\((D M^{\\prime}I)\\) , we have \\(\\angle I P M = 90^{\\circ}\\) .\n\n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n8. [50]", "solution_match": "\nSolution 3: "}} +{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be a triangle with incenter \\(I\\) . The incircle of triangle \\(\\triangle ABC\\) touches \\(\\overline{BC}\\) at \\(D\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) , and let line \\(AI\\) meet the circumcircle of triangle \\(\\triangle ABC\\) again at \\(L \\neq A\\) . Let \\(\\omega\\) be the circle centered at \\(L\\) tangent to \\(AB\\) and \\(AC\\) . If \\(\\omega\\) intersects segment \\(\\overline{AD}\\) at point \\(P\\) , prove that \\(\\angle IPM = 90^{\\circ}\\) .", "solution": "Solution 1: Let \\(X\\) and \\(Y\\) be the bottom and top point on \\(\\omega\\) (i.e., the tangents of \\(X\\) and \\(Y\\) to \\(\\omega\\) are parallel to \\(BC\\) , and \\(Y\\) and \\(A\\) lie on the same side of \\(BC\\) ). Note that \\(A\\) , \\(P\\) , \\(D\\) , and \\(X\\) are collinear by homothety between the incircle and \\(\\omega\\) . The key claim is the following. \n\nClaim 1. Line \\(IY\\) is tangent to \\(\\omega\\) . \n\nProof. Let the line through \\(I\\) parallel to \\(BC\\) meet \\(AB\\) and \\(AC\\) at \\(B^{\\prime}\\) and \\(C^{\\prime}\\) , respectively. Notice that \\(B^{\\prime}L\\) is the perpendicular bisector of \\(BI\\) , so \\(B^{\\prime}L\\) externally bisects \\(\\angle AB^{\\prime}C^{\\prime}\\) . Similarly, \\(C^{\\prime}L\\) externally bisects \\(\\angle AC^{\\prime}B^{\\prime}\\) . Hence, \\(L\\) is the excenter of \\(\\triangle AB^{\\prime}C^{\\prime}\\) , which means that \\(B^{\\prime}C^{\\prime}\\) is tangent to \\(\\omega\\) . \\(\\square\\) \n\n![md5:9d25c968fd58984cde61b27542d89c49](9d25c968fd58984cde61b27542d89c49.jpeg)\n \n\nNow, we note that \\(LY \\perp BC\\) , so \\(L\\) , \\(Y\\) , and \\(M\\) are collinear (on the perpendicular bisector of \\(BC\\) ). Since \\(\\angle YPX = 90^{\\circ}\\) and \\(\\angle YMD = 90^{\\circ}\\) , \\(PDMY\\) is cyclic. However, \\(IYMD\\) is a rectangle, so \\(IPDMY\\) is a cyclic pentagon. Hence, \\(\\angle IPM = \\angle IDM = 90^{\\circ}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n8. [50]", "solution_match": "\nProposed by: Pitchayut Saengrungkongka \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be a triangle with incenter \\(I\\) . The incircle of triangle \\(\\triangle ABC\\) touches \\(\\overline{BC}\\) at \\(D\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) , and let line \\(AI\\) meet the circumcircle of triangle \\(\\triangle ABC\\) again at \\(L \\neq A\\) . Let \\(\\omega\\) be the circle centered at \\(L\\) tangent to \\(AB\\) and \\(AC\\) . If \\(\\omega\\) intersects segment \\(\\overline{AD}\\) at point \\(P\\) , prove that \\(\\angle IPM = 90^{\\circ}\\) .", "solution": "Let the incircle touch \\(AC\\) and \\(AB\\) at \\(E\\) and \\(F\\) , respectively. Let \\(DI\\) intersect \\(EF\\) at \\(X\\) . Let \\(D'\\) be the other intersection of \\(AD\\) and the incircle.\n\n\n\nClaim 2. \\(P M \\parallel D^{\\prime}X\\) . \n\nProof. Consider the homothety at \\(A\\) that sends \\(\\omega\\) to the incircle. It sends \\(L\\) to \\(I\\) and \\(P\\) to \\(D^{\\prime}\\) . Furthermore, it's well- known that \\(X\\) lies on \\(A M\\) . Because \\(I X \\parallel L M\\) , we also have that the homothety sends \\(M\\) to \\(X\\) . These facts imply that \\(D^{\\prime}X \\parallel P M\\) . \\(\\square\\) \n\n![md5:3588a05bc805619ce4de2b7bfb81bb3c](3588a05bc805619ce4de2b7bfb81bb3c.jpeg)\n \n\nLet \\(T\\) be the antipode of \\(D\\) on the incircle. Let \\(A T\\) intersect the incircle again at \\(T^{\\prime}\\) . Since \\(X\\) lies on the polar of \\(A\\) with respect to the incircle, by Brocard's theorem, we have \\(D^{\\prime}\\) , \\(X\\) , and \\(T^{\\prime}\\) are collinear. It is well- known that \\(A T \\parallel I M\\) . Therefore, \\(\\angle D P M = \\angle D D^{\\prime}X = \\angle D D^{\\prime}T^{\\prime} = \\angle D T T^{\\prime} = \\angle D I M\\) . Consequently, \\(I M D P\\) is cyclic, and \\(\\angle I P M = \\angle I D M = 90^{\\circ}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n8. [50]", "solution_match": "\nSolution 2: "}} +{"year": "2025", "tier": "T4", "problem_label": "8", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\triangle ABC\\) be a triangle with incenter \\(I\\) . The incircle of triangle \\(\\triangle ABC\\) touches \\(\\overline{BC}\\) at \\(D\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) , and let line \\(AI\\) meet the circumcircle of triangle \\(\\triangle ABC\\) again at \\(L \\neq A\\) . Let \\(\\omega\\) be the circle centered at \\(L\\) tangent to \\(AB\\) and \\(AC\\) . If \\(\\omega\\) intersects segment \\(\\overline{AD}\\) at point \\(P\\) , prove that \\(\\angle IPM = 90^{\\circ}\\) .", "solution": "Let \\(\\omega\\) be tangent to \\(A B\\) and \\(A C\\) at \\(E\\) and \\(F\\) , respectively. Note that these are the feet of the altitudes from \\(L\\) to \\(A B\\) and \\(A C\\) , and \\(L\\) lies on the circumcircle of \\(\\triangle A B C\\) by Fact 5. As \\(M\\) is clearly the foot from \\(L\\) to \\(B C\\) , it follows that \\(E\\) , \\(F\\) , and \\(M\\) are collinear on the Simson Line of \\(L\\) with respect to \\(\\triangle A B C\\) . \n\nLastly, we want \\(P\\) to be on the circle with diameter \\(I M\\) . This circle intersects \\(E F\\) again at the foot from \\(M\\) to \\(A I\\) , which is the midpoint of \\(E F\\) . Let this point be \\(M^{\\prime}\\) . Consider the homothety sending the incircle to \\(\\omega\\) . This clearly sends \\(D\\) to the second intersection of \\(A D\\) and \\(\\omega\\) , which is \\(P^{\\prime}\\) , and it sends \\(I\\) to \\(L\\) . Note that \\(A P\\cdot A P^{\\prime} = A E^{2} = A M\\cdot A L\\) , as the circle with diameter \\(L E\\) is tangent to \\(A E\\) . Thus, \\(P P^{\\prime}M^{\\prime}L\\) is cyclic. Since \\(I D \\parallel L P^{\\prime}\\) , \\(I\\) lies on \\(M^{\\prime}L\\) , and \\(D\\) lies on \\(P P^{\\prime}\\) . By Reim's, we also have \\(P D M^{\\prime}I\\) is cyclic. As \\(I M\\) is a diameter of \\((D M^{\\prime}I)\\) , we have \\(\\angle I P M = 90^{\\circ}\\) .\n\n\n![md5:bd8de87f9a899904f1b27f0c1c33d28a](bd8de87f9a899904f1b27f0c1c33d28a.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n8. [50]", "solution_match": "\nSolution 3: "}} {"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\mathbb{Z}\\) be the set of integers. Determine, with proof, all primes \\(p\\) for which there exists a function \\(f\\colon \\mathbb{Z}\\to \\mathbb{Z}\\) such that for any integer \\(x\\) , \n\n\\(f(x + p) = f(x)\\) and \\(p\\) divides \\(f(x + f(x)) - x\\) .", "solution": "Answer: \\(\\boxed{p = 5}\\) and all primes \\(p\\equiv \\pm 1\\) (mod 5)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n9. [60]", "solution_match": "\nProposed by: Marin Hristov Hristov \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "9", "problem_type": null, "exam": "HMMT", "problem": "Let \\(\\mathbb{Z}\\) be the set of integers. Determine, with proof, all primes \\(p\\) for which there exists a function \\(f\\colon \\mathbb{Z}\\to \\mathbb{Z}\\) such that for any integer \\(x\\) , \n\n\\(f(x + p) = f(x)\\) and \\(p\\) divides \\(f(x + f(x)) - x\\) .", "solution": "We work in \\(\\mathbb{F}_{p}\\) , treating \\(f\\) as a map from \\(\\mathbb{F}_{p}\\) to itself. Clearly, \\(p = 2\\) doesn't work. For \\(p > 2\\) such that 5 is a quadratic residue mod \\(p\\) , as well as \\(p = 5\\) itself, there exists some \\(\\alpha\\) such that \\((2\\alpha +1)^{2}\\equiv 5\\) (mod \\(p\\) ). Taking \\(f(x) = \\alpha x\\) then works because \n\n\\[f(x + f(x)) - x = (\\alpha^{2} + \\alpha -1)x = \\frac{1}{4}\\left((2\\alpha +1)^{2} - 5\\right)x\\equiv 0\\pmod {p}.\\] \n\nTo prove no other primes satisfy the conditions in the problem statement, note that \\(f\\) is surjective, as for any \\(x\\) , \\(f(x + f(x)) = x\\) . As \\(\\mathbb{F}_{p}\\) is finite, \\(f\\) is bijective. Plugging in \\(x = f(y)\\) yields \n\n\\[f(f(y) + f(f(y))) = f(y)\\implies f(y) + f(f(y)) = y.\\] \n\nSince \\(f\\) is bijective, there exists \\(z\\in \\mathbb{F}_{p}\\) such that \\(f(z) = 0\\) , then \\(z = f(z + f(z)) = f(z) = 0\\) . Therefore, \\(f(0) = 0\\) . This is the only fixed point, as any fixed point \\(d\\) would satisfy \\(d = f(d) + f(f(d)) = 2d\\) ,\n\n\n\nwhich is impossible if \\(d \\neq 0\\) . Hence the remaining residues form nontrivial cycles \\(y\\) , \\(f(y)\\) , \\(f(f(y))\\) , etc. If the cycle containing \\(y\\) is of length \\(n\\) , then \n\n\\[\\begin{array}{r l} & {f^{-1}(y) = y + f(y),}\\\\ & {f^{-2}(y) = f^{-1}(y) + y = 2y + f(y),}\\\\ & {\\qquad \\vdots}\\\\ & {f^{-(n - 1)}(y) = f(y) = F_{n}y + F_{n - 1}f(y),}\\\\ & {\\qquad y = F_{n + 1}y + F_{n}f(y),} \\end{array} \\quad (by induction)\\] \n\nwhere \\(F_{k}\\) is the \\(k\\) - th Fibonacci number. As \\(y \\neq 0\\) and \\(f(y) \\neq 0\\) , the last two equations tell us \n\n\\[F_{n}^{2} \\equiv \\left(\\frac{(1 - F_{n - 1})f(y)}{y}\\right) \\left(\\frac{(1 - F_{n + 1})y}{f(y)}\\right) \\equiv (F_{n + 1} - 1)(F_{n - 1} - 1) \\pmod {p}.\\] \n\nLet \\(A = F_{n + 1} - 1\\) and \\(B = F_{n - 1} - 1\\) for brevity. The last equation becomes \n\n\\[(A - B)^{2} \\equiv AB \\equiv \\frac{1}{4} ((A + B)^{2} - (A - B)^{2}) \\pmod {p} \\Longrightarrow (A + B)^{2} \\equiv 5(A - B)^{2} \\pmod {p}.\\] \n\nAs 5 is not a quadratic residue, this implies \\(F_{n + 1} \\equiv F_{n - 1} \\equiv 1 \\pmod {p}\\) . Hence, if \\(d\\) is the smallest positive integer such that \\(F_{d} \\equiv 0 \\pmod {p}\\) and \\(F_{d + 1} \\equiv 1 \\pmod {p}\\) , then the Fibonacci sequence is periodic modulo \\(p\\) with period \\(d\\) , so \\(d \\mid n\\) . The sum of all cycle lengths (excluding the fixed point 0) is \\(p - 1\\) , so \\(d \\mid p - 1\\) . The following well- known lemma will give us a contradiction. \n\nLemma 1. If 5 is not a quadratic residue modulo a prime \\(p\\) , then \\(p \\nmid F_{p - 1}\\) . \n\nProof 1. Recall Binet's formula, \n\n\\[F_{p - 1} = \\frac{1}{\\sqrt{5}} \\left(\\left(\\frac{1 + \\sqrt{5}}{2}\\right)^{p - 1} - \\left(\\frac{1 - \\sqrt{5}}{2}\\right)^{p - 1}\\right).\\] \n\nMultiplying both sides by \\(2^{p - 1}\\) and expanding via the binomial theorem, we have \n\n\\[2^{p - 1}F_{p - 1} = 2\\sum_{k = 0}^{\\frac{p - 3}{2}}5^{k}\\binom{p - 1}{2k + 1}.\\] \n\nHowever, \\(\\binom{p- 1}{2k+1} \\equiv(- 1)^{2k+1} \\equiv- 1 \\pmod{p}\\) for all \\(k\\) , so \n\n\\[p \\mid F_{p - 1} \\quad \\text{if and only if} \\quad p \\left| \\sum_{k = 0}^{\\frac{p - 3}{2}} 5^{k} = \\frac{5^{\\frac{p - 1}{2}} - 1}{5 - 1} \\right.\\] \n\nTherefore \\(p \\mid F_{p - 1}\\) if and only if \\(5^{\\frac{p - 1}{2}} \\equiv 1 \\pmod {p}\\) , which doesn't hold if 5 is not a quadratic residue modulo \\(p\\) , as desired. \\(\\square\\) \n\nProof 2. Work in \\(\\mathbb{F}_{p^{2}} = \\mathbb{F}_{p}[\\sqrt{5}]\\) . Since 5 is not a quadratic residue, we get that \\((\\sqrt{5})^{p} = - \\sqrt{5}\\) . Using the fact that \\((a + b)^{p} = a^{p} + b^{p}\\) (because all other terms have coefficient divisible by \\(p\\) ), we get that \n\n\\[\\left(\\frac{1 + \\sqrt{5}}{2}\\right)^{p} = \\frac{1 - \\sqrt{5}}{2} \\implies \\left(\\frac{1 + \\sqrt{5}}{2}\\right)^{p - 1} = \\left(\\frac{1 - \\sqrt{5}}{2}\\right)^{2} = \\frac{3 - \\sqrt{5}}{2}.\\]\n\n\n\nSimilarly, \\(\\left(\\frac{1 - \\sqrt{5}}{2}\\right)^{p - 1} = \\frac{3 + \\sqrt{5}}{2}\\) . Hence, by Binet's formula, \n\n\\[F_{p - 1} = \\frac{1}{\\sqrt{5}}\\left(\\left(\\frac{1 + \\sqrt{5}}{2}\\right)^{p - 1} - \\left(\\frac{1 - \\sqrt{5}}{2}\\right)^{p - 1}\\right)\\] \\[= \\frac{1}{\\sqrt{5}}\\left(\\frac{3 - \\sqrt{5}}{2} -\\frac{3 + \\sqrt{5}}{2}\\right) = -1,\\] \n\nso it is not divisible by \\(p\\) . \n\nHence, \\(F_{p - 1} \\neq 0\\) (mod \\(p\\) ) if 5 is not a quadratic residue modulo \\(p\\) , which contradicts \\(d \\mid p - 1\\) above. This completes the solution.", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n9. [60]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "10", "problem_type": null, "exam": "HMMT", "problem": "Determine, with proof, all possible values of \\(\\gcd (a^{2} + b^{2} + c^{2}, abc)\\) across all triples of positive integers \\((a, b, c)\\) .", "solution": "Answer: All positive integers \\(n\\) such that \\(\\nu_{p}(n) \\neq 1\\) for all prime \\(p \\equiv 3\\) (mod 4)", "metadata": {"resource_path": "HarvardMIT/segmented/en-282-2025-feb-team-solutions.jsonl", "problem_match": "\n10. [60]", "solution_match": "\nProposed by: Henrik Rabinovitz \n\n"}} diff --git a/HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl b/HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl index 066f73fc7446abe88c7e4ec7bbd18e634a39f417..b2dfa2b593b80899d8d9fbd1ea8a06e4b5f6cadc 100644 --- a/HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl +++ b/HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl @@ -1,10 +1,10 @@ -{"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a convex quadrilateral. Define parabolas \\(\\mathcal{P}_{A}\\) \\(\\mathcal{P}_{B}\\) \\(\\mathcal{P}_{C}\\) , and \\(\\mathcal{P}_{D}\\) to have directrices \\(B D\\) \\(C A\\) \\(D B\\) , and \\(A C\\) , and foci \\(A\\) \\(B\\) \\(C\\) , and \\(D\\) , respectively. Prove that no two of these parabolas intersect more than once. \n\n(A parabola with directrix \\(\\ell\\) and focus \\(P\\) consists of all points \\(X\\) for which \\(P X\\) equals the distance from \\(P\\) to \\(\\ell\\) .)", "solution": "![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n1. [5]", "solution_match": "\nProposed by: Albert Wang \n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a convex quadrilateral. Define parabolas \\(\\mathcal{P}_{A}\\) \\(\\mathcal{P}_{B}\\) \\(\\mathcal{P}_{C}\\) , and \\(\\mathcal{P}_{D}\\) to have directrices \\(B D\\) \\(C A\\) \\(D B\\) , and \\(A C\\) , and foci \\(A\\) \\(B\\) \\(C\\) , and \\(D\\) , respectively. Prove that no two of these parabolas intersect more than once. \n\n(A parabola with directrix \\(\\ell\\) and focus \\(P\\) consists of all points \\(X\\) for which \\(P X\\) equals the distance from \\(P\\) to \\(\\ell\\) .)", "solution": "![md5:47ea9ee7f0abaece53f6f41b3135769c](47ea9ee7f0abaece53f6f41b3135769c.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n1. [5]", "solution_match": "\nProposed by: Albert Wang \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a convex quadrilateral. Define parabolas \\(\\mathcal{P}_{A}\\) \\(\\mathcal{P}_{B}\\) \\(\\mathcal{P}_{C}\\) , and \\(\\mathcal{P}_{D}\\) to have directrices \\(B D\\) \\(C A\\) \\(D B\\) , and \\(A C\\) , and foci \\(A\\) \\(B\\) \\(C\\) , and \\(D\\) , respectively. Prove that no two of these parabolas intersect more than once. \n\n(A parabola with directrix \\(\\ell\\) and focus \\(P\\) consists of all points \\(X\\) for which \\(P X\\) equals the distance from \\(P\\) to \\(\\ell\\) .)", "solution": "Let \\(d(P, X Y)\\) be the distance from \\(P\\) to line \\(X Y\\) . We will first prove \\(\\mathcal{P}_{A}\\) and \\(\\mathcal{P}_{B}\\) intersect at most once. \n\nClaim 1. Let \\(\\ell_{A B}\\) be the perpendicular bisector of \\(A B\\) . Then, \\(\\mathcal{P}_{A}\\) is tangent to \\(\\ell_{A B}\\) . \n\nProof. Consider any point \\(X\\) on \\(\\mathcal{P}_{A}\\) . Then, \n\n\\[X A = d(X,B D)\\leq X B,\\] \n\nwith equality only holding at the unique point \\(X\\) for which \\(X B\\perp B D\\) . Thus, \\(\\mathcal{P}_{A}\\) lies entirely on one side of \\(\\ell_{A B}\\) , touching it once at this point \\(X\\) . \\(\\square\\) \n\nIt follows that \\(\\mathcal{P}_{A}\\) and \\(\\mathcal{P}_{B}\\) are on different sides of \\(\\ell_{A B}\\) and hence can intersect at most once (possibly at a common tangency point to \\(\\ell_{A B}\\) ). \n\nSince \\(A B C D\\) is convex, \\(A\\) and \\(C\\) lie on opposite sides of line \\(B D\\) , the common directrix of \\(\\mathcal{P}_{A}\\) and \\(\\mathcal{P}_{C}\\) . Thus, \\(\\mathcal{P}_{A}\\) and \\(\\mathcal{P}_{C}\\) lie on opposite sides of line \\(B D\\) and cannot intersect at all. \n\nThe remaining pairs of parabolas are handled similarly.", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n1. [5]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "1", "problem_type": null, "exam": "HMMT", "problem": "Let \\(A B C D\\) be a convex quadrilateral. Define parabolas \\(\\mathcal{P}_{A}\\) \\(\\mathcal{P}_{B}\\) \\(\\mathcal{P}_{C}\\) , and \\(\\mathcal{P}_{D}\\) to have directrices \\(B D\\) \\(C A\\) \\(D B\\) , and \\(A C\\) , and foci \\(A\\) \\(B\\) \\(C\\) , and \\(D\\) , respectively. Prove that no two of these parabolas intersect more than once. \n\n(A parabola with directrix \\(\\ell\\) and focus \\(P\\) consists of all points \\(X\\) for which \\(P X\\) equals the distance from \\(P\\) to \\(\\ell\\) .)", "solution": "Let \\(d(P, X Y)\\) be the distance from \\(P\\) to line \\(X Y\\) . \n\nClaim 2. \\(\\mathcal{P}_{A}\\) and \\(\\mathcal{P}_{B}\\) intersect at most once. \n\nProof. Let \\(P\\) be a common point of both parabolas. Then, \\(d(P, B D) = P A\\) and \\(d(P, A C) = P B\\) , which combined imply \n\n\\[P A = d(P,B D)\\leq P B = d(P,A C)\\leq P A.\\] \n\nThus, the inequalities above are equalities, i.e., \\(P A = P B\\) , \\(P A\\perp A C\\) , and \\(P B\\perp B D\\) . Such \\(P\\) , if it exists, is unique. \\(\\square\\)\n\n\n\nThe remaining pairs of parabolas are handled similarly. As in solution 1, \\(\\mathcal{P}_{A}\\) and \\(\\mathcal{P}_{C}\\) cannot intersect, nor can \\(\\mathcal{P}_{B}\\) and \\(\\mathcal{P}_{D}\\) .", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n1. [5]", "solution_match": "\nSolution 2: "}} {"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": null, "exam": "HMMT", "problem": "Find all polynomials \\(P\\) with real coefficients for which there exists a polynomial \\(Q\\) with real coefficients such that for all real \\(t\\) , \n\n\\[\\cos (P(t)) = Q(\\cos t).\\]", "solution": "Answer: All constant functions and \\(P(x) = a x + b\\pi\\) for all nonzero integers \\(a\\) and integers \\(b\\)", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n2. [7]", "solution_match": "\nProposed by: Karthik Venkata Vedula \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": null, "exam": "HMMT", "problem": "Find all polynomials \\(P\\) with real coefficients for which there exists a polynomial \\(Q\\) with real coefficients such that for all real \\(t\\) , \n\n\\[\\cos (P(t)) = Q(\\cos t).\\]", "solution": "It is well- known that these polynomials work by taking \\(Q\\) to be a Chebyshev polynomial (if \\(P\\) is linear) or a constant (if \\(P\\) is constant). \n\nSuppose that \\(\\deg P \\geq 2\\) . Now consider the density of the roots of \\(\\cos (P(t))\\) , i.e. \n\n\\[\\lim_{n \\to \\infty} \\frac{\\text{number of roots in the interval} [-n, n]}{n}.\\] \n\nSince \\(\\cos (P(t)) = Q(\\cos t)\\) , the density is finite, because for each interval of length \\(2\\pi\\) , there can only be a finite number of roots (i.e. twice the degree of \\(Q\\) ). However, we claim that \\(\\cos (P(t))\\) has an infinite density of roots. In particular, consider the solutions to \\(P(x) = \\pm (2k - 1)\\pi /2\\) over positive integers \\(k\\) . Asymptotically, for large \\(k\\) , such \\(x\\) will always exist and be \\(\\Theta (k^{1 / \\deg P})\\) . As \\(k \\to \\infty\\) , such \\(x\\) become infinitely dense, contradicting the finite density of roots of \\(Q(\\cos t)\\) . Therefore, \\(\\deg P \\leq 1\\) . \n\nIf \\(\\deg P = 1\\) , let \\(P(t) = at + b\\) . Observe that \\(Q(\\cos t)\\) is periodic with period \\(2\\pi\\) , so \\(\\cos (P(t))\\) must be as well. This is only the case when \\(a\\) is an integer. Furthermore, \n\n\\[Q(\\cos t) = \\cos (at + b) = \\cos (at)\\cos (b) - \\sin (at)\\sin (b)\\] \n\nmust be an even function. Note that \\(\\cos (at)\\cos (b)\\) is even and \\(\\sin (at)\\sin (b)\\) is odd, so \\(\\sin (at)\\sin (b) = 0\\) for all \\(t\\) , and hence \\(b\\) is an integer multiple of \\(\\pi\\) . \n\nThus, the only polynomials that work are the ones claimed above.", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n2. [7]", "solution_match": "\nSolution 1: "}} {"year": "2025", "tier": "T4", "problem_label": "2", "problem_type": null, "exam": "HMMT", "problem": "Find all polynomials \\(P\\) with real coefficients for which there exists a polynomial \\(Q\\) with real coefficients such that for all real \\(t\\) , \n\n\\[\\cos (P(t)) = Q(\\cos t).\\]", "solution": "Taking the derivative of both sides, \n\n\\[\\sin (P(t))P^{\\prime}(t) = (- \\sin t)Q^{\\prime}(\\cos t).\\] \n\nThe right- hand side is bounded in \\(t\\) , so the left- hand side must also be bounded. If \\(\\deg P \\geq 2\\) , then as \\(t\\) approaches \\(\\infty\\) , \\(P^{\\prime}(t)\\) approaches \\(\\pm \\infty\\) and \\(\\sin (P(t))\\) does not approach 0, contradiction. Thus, \\(\\deg P \\leq 1\\) , and we finish as before.", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n2. [7]", "solution_match": "\nSolution 2: "}} -{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(ABCD\\) be a parallelogram, and let \\(O\\) be a point inside \\(ABCD\\) . Suppose the circumcircles of triangles \\(OAB\\) and \\(OCD\\) intersect at \\(P \\neq O\\) , and the circumcircles of triangles \\(OBC\\) and \\(OAD\\) intersect at \\(Q \\neq O\\) . Prove \\(\\angle POQ\\) equals one of the angles of quadrilateral \\(ABCD\\) .", "solution": "![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n3. [8]", "solution_match": "\nProposed by: Derek Liu\n\n\n"}} +{"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(ABCD\\) be a parallelogram, and let \\(O\\) be a point inside \\(ABCD\\) . Suppose the circumcircles of triangles \\(OAB\\) and \\(OCD\\) intersect at \\(P \\neq O\\) , and the circumcircles of triangles \\(OBC\\) and \\(OAD\\) intersect at \\(Q \\neq O\\) . Prove \\(\\angle POQ\\) equals one of the angles of quadrilateral \\(ABCD\\) .", "solution": "![md5:4dc7919b5d7f2c198965ad8b21a84e25](4dc7919b5d7f2c198965ad8b21a84e25.jpeg)", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n3. [8]", "solution_match": "\nProposed by: Derek Liu\n\n\n"}} {"year": "2025", "tier": "T4", "problem_label": "3", "problem_type": null, "exam": "HMMT", "problem": "Let \\(ABCD\\) be a parallelogram, and let \\(O\\) be a point inside \\(ABCD\\) . Suppose the circumcircles of triangles \\(OAB\\) and \\(OCD\\) intersect at \\(P \\neq O\\) , and the circumcircles of triangles \\(OBC\\) and \\(OAD\\) intersect at \\(Q \\neq O\\) . Prove \\(\\angle POQ\\) equals one of the angles of quadrilateral \\(ABCD\\) .", "solution": "In what follows, all angles are directed. \n\nClaim 1. The points \\(P\\) and \\(Q\\) are symmetric over the center of \\(ABCD\\) . \n\nProof. Note that \n\n\\[\\angle A P B = \\angle A O B = \\angle O A D + \\angle C B O = \\angle O Q D + \\angle C Q O = \\angle C Q D.\\] \n\nSimilar equalities hold for each pair of opposite sides, so \\(P\\) and \\(Q\\) are symmetric across the parallelogram's center. \\(\\square\\) \n\nConsequently, \\(AP\\) and \\(CQ\\) are parallel, so \n\n\\[\\angle P O Q = \\angle P O B + \\angle B O Q = \\angle P A B + \\angle B C Q = \\angle C B A,\\] \n\nas desired. (Once we undirect the angles, \\(\\angle P O Q\\) is either \\(\\angle B\\) or \\(\\pi - \\angle B = \\angle A\\) .)", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n3. [8]", "solution_match": "\nSolution: "}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Determine whether there exist infinitely many pairs of distinct positive integers \\(m\\) and \\(n\\) such that \\(2^{m} + n\\) divides \\(2^{n} + m\\) .", "solution": "Answer: Yes", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n4. [9]", "solution_match": "\nProposed by: Carlos Rodriguez, Jordan Lefkowitz \n\n"}} {"year": "2025", "tier": "T4", "problem_label": "4", "problem_type": null, "exam": "HMMT", "problem": "Determine whether there exist infinitely many pairs of distinct positive integers \\(m\\) and \\(n\\) such that \\(2^{m} + n\\) divides \\(2^{n} + m\\) .", "solution": "Let \\(k\\) be a positive integer, and set \\(m = 2^{k}\\) and \\(n = p - 2^{2^{k}}\\) for prime \\(p\\) to be chosen later. We want \\(2^{m} + n = p\\) to divide \\(2^{p - 2^{2^{k}}} + 2^{k}\\) , which is equivalent to having \n\n\\[0\\equiv 2^{p - 2^{2^{k}}} + 2^{k}\\equiv 2^{1 - 2^{2^{k}}} + 2^{k}\\equiv 2^{1-2^{2^{k}}}\\left(2^{2^{2^{k}} + k - 1} + 1\\right)\\pmod {p}.\\] \n\nLet \\(r = 2^{2^{k}} + k - 1\\) . Since \\(r \\neq 3\\) , by Zsigmondy, we can pick a prime \\(p\\) that divides \\(2^{r} + 1\\) but not \\(2^{s} + 1\\) for any nonnegative integer \\(s < r\\) . Let \\(d = \\operatorname{ord}_{p}(2)\\) . Then, \\(2^{|d - r|} \\equiv -1 \\pmod {p}\\) , so by definition of \\(p\\) , we have \\(|d - r| \\geq r\\) . Hence, \\(d \\geq 2r\\) . As \\(d \\mid p - 1\\) , we conclude \n\n\\[p > 2r = 2\\left(2^{2^{k}} + k - 1\\right) > 2^{2^{k}} + 2^{k},\\] \n\nso \\(n = p - 2^{2^{k}} > m\\) . Since \\(p \\mid 2^{r} + 1\\) by definition, \\((m, n)\\) is a pair of distinct positive integers with \\(2^{m} + n \\mid 2^{n} + m\\) . \n\nAs \\(k\\) was arbitrary (and \\(m = 2^{k}\\) ), there exist infinitely many such pairs.", "metadata": {"resource_path": "HarvardMIT/segmented/en-284-tournaments-2025-hmic-solutions.jsonl", "problem_match": "\n4. [9]", "solution_match": "\nSolution: "}} diff --git a/IMO/md/en-IMO-2005-notes.md b/IMO/md/en-IMO-2005-notes.md index e8593e637002948c70098fad16b6cbc9b0672e08..621e236fc7a0e7fc3f10fb98d281acbfdb0a2fd3 100644 --- a/IMO/md/en-IMO-2005-notes.md +++ b/IMO/md/en-IMO-2005-notes.md @@ -73,7 +73,7 @@ Thus and since three unit vectors with vanishing sum must be rotations of each other by \(120^{\circ}\) , it follows they must also form an equilateral triangle. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGUAcoDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKMjOM8iq99eJYWclw6s23AVF6uxOFUe5JAH1ri/Bf2uDx740tL6czTbrK4JzwN8JBC/7IKkD2AzQB3lFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHPSQ3Ot668Go6TdW+m2i74JXmjxPKSQWwjlhhemQM7mzggVkaPo9/pnxM1S9h0i6i0m7sooftDzxsDLGzfNjzC+0qwxxn2FVfjCPFLeEoI/Cktwl29yBKtqxWZo9rEhCOeoGcc/rWv8ODrp8C6f/wkkrSaou9ZS5y4AcgBz/eAxn9eadna4HV0UUUgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKoajI0myxiYh5872HVIx94/U9B9faqjHmdhN2GWp+23b3x5jAMdv/u5+ZvxI/ID1pc/YdRD9ILohW9Fl7H/AIEOPqB61cRFjRURQqqMADoBUdxAlzbvDJna4xkdR7j3Fac6v5bf1+ZnfW5Zoqpp9w80LRzY+0Qtslx3PZh7EYP4+1W6ylFxdmahRRRSAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGSypDE8sjBURSzMewFUrGN28y8mUrNcYO09UQfdX+p9yaS7P2y9SzHMMWJJ/c/wr+fJ9gPWrta/DG3V/l/X6Gcn0CiiioJKN4fsdwl+v3ANlwP9js3/ATz9Ca0qiZQylWAIIwQe9VNOYwM+nyEkwjMRP8AFGen4jofwPerfvR81+RcX0NCiiisiwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC8uVtLZ5ipYjAVB1ZjwAPqanrNB+3aiZOsFqSqejSdCfwHH1J9KuEU3d7ITdkTWVu1vb4kYNM5LyuP4mPX8Ow9gKsUUUNtu7MgooopAFVL6KTalzAuZ7c7lUfxr/Ev4j9QKt0U4y5XcBYZo7iBJom3RuoZT6g0+s63P2K/a2PEM5MkP8Ast1Zf/Zh/wAC9K0aJxs9NjVO6CiiioGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRQTgZNAFTULh4oVigI+0TnZH7erH2Ayf070+3gS2t0hjB2IMDPU+596q2f+lzvqDfdYbIB6R/3v+BHn6AVerWXurk+/wDryMpO7CiiioEFFFFABRRRQBXvLb7TblFbZIpDxv8A3WHQ/wCe2aksrn7XbLIV2OCVkT+6w4I/OpKoyH7DqCz9ILkhJf8AZforfj90/wDAate8uX7iouzNKiiisjQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArlvEGu3j+IrLwto0ixahdQtdXF0yhvsluDt3hTwWZvlXPHUnOMHqa4ya0fRPiXca9cQyvp+oafHbefHGX8iSNycMBkqrA53dMrzjIyAW9c0K/tvDt22g6hqA1dYj5Ms108wZvdGJTnnoBjtiulhj8mCOLe77FC7nOWbA6k9zVGO+e/uIfsQcWytulnaMqHGOFXI5ycHcOMAjOemZA0kfxEuoBPO0LaYk3lPKzIHMrgkKTgcADj0oA6Ss/UWNw6aehI80bpiP4Y+/59Pz9KXU9b0vRkRtS1C1tPMyIxNKqGQjsoJ5PsKLCKQI9xOMXE53uP7o/hX8B+uT3rSGnvdvzJk7ItABQAAABwAKWkd1jUs7BVHUk4ApakzCiiigAooooAKKKKACo54UuIHhlGUdSrCpKKE7aoCvp07vG9vO2biA7HP94fwt+I/XI7VcrNvc20qaggP7obZgP4o+5+q9fz9a0QQwBBBB5BFVUX2l1NIu6FooorMoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArOXQ7FdZbVgs/21k8sv9pk27Mk7dm7bjJJxitGsTxVrn9gaJJcRL5l5KwhtIgMmSVuFGO/r+FKUlFXZpRpSrVFThuzzL4oeBP8AhYfjKxXTtWjjktYTBcqw3rHgluAD975gCOOq810fiLxnqHgrQbOKPRWvpYFWCYvcEEAAKkg+Ul1Y8E8EHAPUVp+FtE/se5MEj+bdR24e5mJyXmlYs/P/AABR+Va2uaLa69o89hdxBldGVS3VTjGc1WErJVY1KsbxT1j3XXXv+Bx4l/vZKjK8U2l520/O9vI4jQNRs/H91GNf1y2d4nDf2BEjQqHH/PQP80uPT7ue1en155penaL418OaWPEWlp9tktl8m6PyySYGOJBg7hjJU/XGOk39geM/DPzaBrK6zZL0sNWP7wD0SYd/rgCvXr+xxMnGE+RxuuWWiXezWn3perIhO6ujvaK4qy+JOnJdLY+IrS58P354CXq/un/3ZR8pHucV2ccsc0SyROrxsMqynII9Qa4K2Gq0H+8ja/3P0ez+RommOooorAYUUUUAFFFFAARkYPSqenn7LM+nt91BvgJ7x+n/AAE8fQrVyqt9DJJGs0A/0iA74/8Aa9VPsRx+R7VcLP3X1GnZl6ioreeO6t454zlHGRnqPY+9S1m007M1CiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcRph/wCEs8Xy6y3zaXpZa3sR2kl/jk/DoPw9KveNNTuEtbfQ9NbGp6qxhQj/AJZR/wAbn6D/ADxWrY2dr4f0OO1gXbbWkJ+pAGST7nk/jWT96Vui3/r8fuO5S+q4Z1X8U7peUftP5/Cv+3iLS/3suoXX/PW6ZR9EAj/mh/Or+MNwOvU1S0eJodHtFk/1hjDP/vNy36k1dI6HAJB79qKfwq54lP4E2RXNrDdwGGdNyHn0IPYg9iPUVVgvJrCZLXUH3xudsN2RgMeyv6N79D7HitCmSxRzxPFKivG4wysMgim4u947jcXfmjuF7YWepWrWt9aw3MD/AHo5kDqfwNcbJ8PJdIla58Ha1c6M5O42jnzrVz7o3TPqOnauiSeXRiEuXaXT+iTsctB7Oe6/7Xbv61sAggEHIPeuzDY2rSTjB6dU9V809GVGSnvucF/wm2ueHfk8YaBJHAvB1PTMzQfVl+8g+v5V1uka7pWvWv2nSr+C7i7mJ8lfYjqD7GtCuS1f4daFqN19utEm0nUhyt5pz+S+fcDg+/Gfeunnwlb448j7rVfc9V8n8itUdbRXBfaPHvhfi5gg8Uaev/LWACG7Ue6fdb6Dk1r6F498P69N9lhuza34OGsrxfJmU+m09T9CaipgasYucLTj3jr963XzSDmR01FFFcZQUUUUAUoj9i1ExHiC6JZPRZOrD8Rz9QfWtGql3bC6tmiLFW4KOOqsOQR9DTrG5N1bbnULMhKSoP4XHX8O49iKuXvLm+8uL6FmiiisiwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqK4uIrS2luJ3EcMSF3c9FUDJNS1xniuV9f1m18JWzkRPi41J1P3IQeEz6scfp2qJy5VfqdGFoe2qcsnaK1b7Jb/wDA7uyDwlBLq9/d+LL1Cr3g8qyjbrFbg8fix5//AF1u68d2kSwDrcslv+DsFP6E1oRxpDEkUahI0UKqqMAAdAKztS/e6nplv2EjzsPZVx/6E61Mo8tPl7/qcuYYh4iUpWsnol2WyXyL3SjqMGiirOcRehHHHHHalpM4bkjnoKWgBCAQQQCD1BrMCy6Kd0KtLp38USjLQe6Duv8As9u3pWpRUyjfVbkyjfVbjopY54klidXjcZVlOQR7U+siS3m02VrmwQvCx3TWg4ye7J6N6jofY81o2t1DeW6zwOHjbv0IPcEdiPSqjO+j3KhO+j3JqyNc8LaJ4kh8vVtOgucDCyEYdfow5H51r0VvTqTpyUoOzXVFnBf8Ix4r8NfN4Z13+0LRemnaud+B6JKOR7A8VNa/Ei1tbhLLxTp114fvGOA1yN8Dn/ZlHB/HA967eobq0tr63e3u7eKeBxho5UDK31B4rs+uQq6YmF/NaS/yfzV/MVrbDoLiG6gSe3mjmhcZWSNgysPUEdakrhp/hxHp873fhLVrrQbhjuMMZ822c/7Ubcfl09Kj/wCEu8S+G/k8V6A09qvXU9JzJHj1eM/MvufyFH1KNXXDT5vJ6S+7Z/Jt+QXtud7VGc/Yr5LscQzYin9j/C39D9R6VDoviPR/EVv5+k6jBdKBlgjfMv8AvKeR+IrRliSaJ4pFDI6lWU9wa5HGVKbjUTXdFJ9UT0VR06Vwr2k7FprfA3Hq6H7rfj0PuDV6s5R5XY2TuFFcR4nuDL4+8PaYmo3NrFJDPc3oju3iDRIAqDggDLuORz8uM0+zurk+PLW10O7uLzRVtZTqLSzNPFHJkeWEkYk7/vZUHGMZA4qQO0ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAM/XNXt9C0a51K5+5CmQueXboFHuTgVkeD9JuLLT5dQ1HnVdSf7Rck/w5+6nsFHb61Quj/wAJZ40W0HzaTojiSb+7Nc9l9wvf3yO9dlWcPflzdFt+v+R24h/V6CoL4p2cvJfZX/tz+XYKyl/feIrh/wCG3t0jH+8xLN+ipWrWVpX70311/wA9rp8H2TEY/wDQP1p1NWkePU1cV/X9XsaFFFFMYjHC5zjHJ4paKRemMk47kUALRRRQAVn3FnNDcNe6ftWc/wCthY4Sce/o3o34HI6aFFKUUxSipEdlfRX0RePcrqdskbjDRt6Ef5z2qzWbd2LSSi7tJBDeIMByPlcf3XHcfqO1TWOoLd74pEMN1H/rYWPK+4PdT2P9eKIzd+WW/wCYRm78st/zLlFFFamoUUUUActrXw+0DWbj7Ytu+n6iDlb2wfyZQfXI4J+oNZePHvhfoYPFOnr64gu1H/oLfzNd7RXbDHVVFQqWnHtLX7nuvk0TynJaZ4usNcWa+tYrq1vNMA+22l3CYpEjbOc54P3SRg/w9s10Wm63pes2z3Ol6hbXsKEqz20gkAI7fLnmq3iLSE8QeHdQ0dp2hF5A0JkU8puGM47/AE79O9cV8LfAB+HV3qNrd6kt1cagEaLapRCqbsgAnlvmBPsfrXPWlGbvTjZLzv8A5dTWHYvabex3HxA17WL7TtTW3S3t7KxZ9LuDvQbnkYDZ/fYD/gNSaZpOrX/iDxFqlp5ui2N7apbWiyRYZ5Vzm4aLIKnkKM4Ygc44ru6hu7WK9tJrWbf5UyFH2SMjYIwcMpBH1BzWBZz2jpP/AMJZeyWc0v8AYotVjAlmZxLcBzuaPcScBSAxHBJ9Qa6esfR/C+laDMZbBLoOY/KBnvZpwq8cKJHYL0HTHQVsUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYPi7W5NF0fFovmajduLezjHVpG4B+g6/l61vEgAknAHU1xOh58U+J5/Ecgzp9nuttNB6Mejy/j0Ht9KzqN/Ct2dmEpxu61RXjDX1fRfN7+SZueHNEj0DRILFW3yj555e8kh5Zj+P6AVrUUVrGKirI4KtWVWbqTd29WRXM62tpNcP92JGc/QDNU9Jga30i0if/AFgiUv8A7xGT+pNJr3zaU1v3uZEgx7MwDf8Ajuau1k9Z+i/P/hjmetT0X5/8MFFFFUUFJ/F1PI/ClpG6Z5OOcDvQAtFFFABRRRQAVVvLFbvZIrtDcxcxTJ95D6e4PcHrVqik0mrMTipKzKtlqDSSm0vEWG8UZwPuyj+8h7j1HUfkTfqld2cV7CElBBU7kdThkbsVPY1Da30sE62WokCVuIZwMLN7eze3fqPQKMnHSX3ijNxdpff/AJmnRRRWxsFITgdCaCcUAc5OM+uO1AgAx3zXB/EOwutbvdO0/TWIvbeKa9G0kEBdoUZHQseB9K72s6y0lLTU77UZJmnubpgNzDHlxqPlQe2cn3JrKrDnjy9Gd2AxKwtX26+KK0XdvT8nc57w7HqmsaHbXun+KbpYnXDRXNtHM8bjhlLYBOD612cKukEaSyebIqgM+ANxxycDpmuMU/8ACJeNcfd0jXH/AOAw3X9A/wDP2FdtUUlZWe6OrMJc0lONuSWq0Sfmm0ldp6a+vUKKKK2POCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKgvbyDT7Ke8uXCQQoXdj2AFGw4pydluc140vp51tvDWnPtvtUJV3H/ACxgH33P4ZA9ea6CwsYNNsILK1TZBAgRF9h/Wub8H2k99JdeKNQQrd6ljyI2/wCWNuPuL+PBPrxXWVnSV/ffX8jqx01TSwsNo7+cuvyWy+b6hRRRWx5xmah+91bTbfsrSXBHsq7R+sg/Kr1UI/33iG6f+GCCOIf7xJZv02VfrGOrb8/+AYQ1bfn+WgUUUVRYUUUUAIvC4wRjjk5paTGG6depzS0AFFFFABRRRQAVFcW0N3A0E6B426g/z9j71LRQ1fRg0mrMzobubTJFt7+QyW7HbDdt2PZZPf0boe+D11SQBkkD61DJGksbRyIrowwysMgj0NZiSS6KcSF5NN6Bj8zW/wBe5T36jvxyJUnDfb8iFJ09Ht+X/ANkA5yeD7GlpFZXUMpBUjIIPBFLWxsFFFFAzM8QaNDr+i3GnzHaZFzHJ3jccqw+hqp4P1qbVdKe3vht1Swf7PeIeu4dG+jDnP1rerjfEQbw14htvFMIP2SXbbamqj+AnCSfVTgfkKxqe6+f7/T/AIB6WCft4PCPd6x/xdv+3lp6pHbUUisroGVgysMgg5BFLWhxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVbUNRs9KsZb2/uI7e2iGXkc4A/xJ6AdTWW/ieKCxfULvTNRtdORfMe6mjQBE/vMgYyKPqoI7gUAbtFV7C8j1HTra9iV1juIllRZBhgGAIyOx5pupTXVvptxNZQLcXMaFo4WbG8jtn1pN2VyoxcpKK6lquL8SMfEviK38Lwkmzg23WpsP7o5SL8Tg/TB7Vq33iuytfCP9vx5eOSMGGM/eeQ8BPrng+mDUfhLRpdK0ppr079TvXNxeOeu9v4foBx+dZyfO1Bbbv0/wCCd1FPCQliJq0k+WP+Lq/+3fzaN5VCqFUAKBgAdBS0UVueSFFFQ3lwtpZXFy33YY2kP0AzSbsrsTaSuyhpP7xLu5/573UhHuFPlj9EFaFVNLt2tdKtIH++kShj6tjk/nmrdZU1aKuY001BXCiiiqLCiiigBCM4OASDxmlopF6Y444wO1AC0UUUAFFFFABRRTfvdOV7kHvQAfe9NvoR3p1FFAGZ5cujsZLVGlsScvbqMtF6tGO49V/L0OpBPFcwJNBIskTjKspyCKSs6W2msZ3u9PXcHO6e1zgSf7S+j/oe/rUK8Ntv6/qxCvT22/L0/wAvuNaioLS7hvYBNA25c4IIwVI6gjsR6VPWyaaujZNNXQVDd2kN9ZzWlygeGZCjqe4Iwamoo3KTcXdbnKeDLuawluvCt/IWudO5tpG/5bW5+6fw6H04FdfXI+MrG4hW28R6cm6/0sl2Qf8ALaA/fQ/hk/nXS6df2+qadb31q++CdA6H2PY+/asafuvkfTb0PTxdq0Vio/a+Lyl1+/dfNdCzRRRWpwhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcLq4fWPi9o2k3HNhp2nPqqxn7sk/meUhI77Mkj0JrrtUitLnTJ7O9J+z3am2cDqwk+TA/Oq2p6FBqF/aajHNLaahaBliuYcZ2NjcjAghlOBwehGQQeant9PdZkuLy6e6mTPl7lCpGSMEqo744ySTycEAmgDNl8U2NmFP2eYWKXi6ebhNuyOUsEAK53BdxC5x3z05roK47VH1fUvEMEE3hi8l061uo3glNxbiJmBH75x5m8hckqu3qMnJwF534w/EjWfAf8AZcWk2UD/AGvezz3CFlG3b8oAI555z26ewBXt4NXuvF9xa2ulve6Zpd/PNAhkEUQlZs/MxznaSSAATzXf2EniNrtf7RttLS1IOTbzyM4PbgqAfzp3hm6N34X0y7kt3tpJ7aOV4pOqu6hjn1OTWtWcKKg3Zs7cZmX1mydNKyt1v5ve129dgooorY8wKzdd+fThb97iaOHHqCw3f+O7q0qzL/8Ae6xp0HaPzLg/guwf+jP0rOr8DXfT7zKt8DXfT79C9RRRQMKKKKACiiigApM4bkjnoPelpGOFznGOTxQAtFFFABRRSE9h1+nFAAcngZHuKWkAA6DFLQAUUUUAFFFFAFC5spUuDe2DKl1jDo3CTAdm9D6N1HuOKtWN/FfRsVDRyxnbLC/DRn0P9D0Papap3liZpFubeTyLyMYSUDII/usO6+35YqLOLvH7iLOLvH7jRoqlY6gLlmgmj8i8jGZISc8f3lP8S+/54NXa1jJSV0axkpK6AjIwelcdoJPhbxRP4dkO3Tr4tc6aT0Rurxfh1H+JrsawvFeiPrWjkWreXqFq4uLOUcFZF5A+h6f/AKqirF25luj0MDWipOjVfuT0fk+j+T38ro6Gisjw1rieINDhvQvlzcx3EXeOVeGU/wA/oRWvVRakrozq05UpunNWa0CiiimZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFch4m1N7Lw7qXiNLWG6+yR5tYphlSoYZf8eo9lHrXQai7TFLCJiHnBMjDqkY+8fqeg+ue1UfFFkt34N1izRQA9jMiKB0Ow4/pXXhVGNSHOrptfdfX7zOb6I1LW4W7tIblPuyxrIPoRmpNoPYdc1g+Brr7b4E0KfOSbGJWPuqhT+orfrKtT9nVlDs2vuIWqE2+hI5zR83qOv6UtFZgJk8ZXv2PSsuFhNr95JniGOOBc/3vmdv0K/lWrWVpH7yG5uf+fi5kf6gHYv8A46orKpq0jKprKK+f9feaAOelFJgccDjkUYxjBP8AjTKFopBu45B9aATxkfkelAC0UgYHHuMgGlBBGRyKACiiigBF9Mk47kUtJ/F1PI/CgnAzgn2FAATjgY3dgTQBj/8AXQBjvmloAKKKKACiiigAooooAKKKKAKt5ZJeKh3NHNGd0UyfeQ+3t6g8Gm2eoOZxZXyrHd4ypX7kwHdf6r1HuOauVBd2kN7B5UykjO5WBwysOhB7EetS00+aO5Di0+aO/wCZcorLtr2a0nSz1FgS52w3OMLL7N/df9D29BqVpGSktDSE1JaHG3J/4RLxml6Pl0nWnEVx/diuf4X9g3f8Sa7aszWtJt9c0e5065H7udMbu6nqGHuDg1m+DdXuL3T5tN1E41XTH+z3IJ++P4X9ww7/AFrJe5Pl6Pb9f8z15v6zh1V+1Cyl5r7L/wDbX8u50tFFFanCFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTJpUgheWVgsaKWZj2Ap9Z10ftt8loOYYcST+56qv8A7MfoPWrhHmeuwm7IWwjciS7nUrPcEMVPVFH3V/AdfcmrToskbIwyrAgj1FOopyk27mRxXwodh8P7O1c5ks5p7dvqsrf0Irta4j4d/wCj3PivTzx5GuTuo9EcKw/rXb115l/vdSXd3+/X9SY7BRRRXEUV765Fnp9zdHpDE0n5DNQ6dbm00y1tz96KJVJ9SBzUeufPYx2/e4njix6ruBb/AMdDVdrF6z9F/X6GL1qei/r9AoooqigooooAKTAyDgZAwKWigBAMYwTgDGKBu45B45+tLSEgAkkADuaAGuxC5KtwMnbz+FKCM5YjIGc4xgUoHOT19jQo+XGDgccnNMQtFIVBzx1GCRwaCDzg9uPakMWikO7nGDxwKCcZyDgd6AFopNw55HHWloAKKKKACiiigAooooAjngiuYHhnjWSNxhlYcGqMdzLpLrDeSNJZk4jumOTH6LIf5N+fPJ0qRlV0KOoZWGCCMgipcdbrcmUdbrcmrj/FEb6Dq9r4stUJjjAt9RjUffgJ4bHqpx+nYVrqZdE6b5dM9PvNb/TuU/Ue46ackcF9ZtG4Sa3nQqR1V1I/kRQ/3kbbM7MDi/ZVeaS02ku6e/8AwH380TxSxzwpLE6vG6hlZTkMDyCKfXHeELiXR7+78JXjszWo86xkY8y25PA+qnj/APVXY04S5lc6MTQ9jUcU7rdPuns/69AoooqznCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAILy6FpatLtLtwqIOrseAPxNRWVsba32uweZyXlf+856n6dh7AVCp+3aiZetvakpH6NJ0Zvw+79S1Xq1fux5fvM5O7CiiioJOI8Of6L8UfGFr0W4jtLpB/wAqx/Ou3riH/0T41xN0S90Mr9XSXP/AKCa7eu7H6yhPvGP4Ll/QmIUUUVwlGZe/vdb0+HtEslwfYgBB/6G35VeqhB++12/l7RJHAPY4Ln9HX8qv1jHVt+f/A/Qwhq2/P8ALT9AoooqiwooooAKKKKACkGSc8jtj1pPvZB5XkEEdadQAUmPm6dRyc0tIwzg4BI6ZoAWiiigAooooAOtJtHPHXrjilooATB5we9Hzc9Dz+lLRQAmcZyD1x9aNw55HBxS0UAFFJtHpjnPHFGD69+9AC0Unzex5/SjPTIIycUALWY0M2lSNNZRmS0Y7pbVeq+rR/1Xv2566W4evU4paUo39SZR5vU5nxTavf6da+IdGYSX+msZ4Sv/AC1T+OM/UZ465GO9dFpOp2+s6VbajatmGdAw9Qe4PuDkfhVOe1mtZ3vNPALsczW5OFm9x6P79+h9Rzfh68i0PxTLpkRK6XqrNNaqwwbe4H+siI7eoH0x1rLn5Z69f6v+n3Hq4ap9ZoOhP44XcfOO8kvT4vL3vI72sO/8TRWOv2+i/wBn3093cRPNCIRHtdFxuOS4xgsBzjJ6ZrcrhbEXeqfFHXtQtWhCaZaQ6bGZFLAs376TGCOeYwfpXQcx0lj4gtLzVpdJeOe11KKEXBtrhQGMRO3epUlWGeOCcHrWtXC+GXW58beJbu/R7jX9OSK0Yw48kW7jzUWIHoSeW3EnIHOMV1ejatFremi9hiliQyyxFJcbg0cjRt0JHVD3oAv0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFU9RuHiiWGA4uJzsjP8Ad9W/Ac/kO9XCQASTgCs2yzdzPqDfdcbIAe0fr/wI8/TFaU19p9CZOyLVvAltbxwxjCIMDNSUUVLd3dmYUUUUAcR4p/0X4keC7zosjXVs59d0YKj8xXb1xHxI/wBHj8NagOPsuuWxc/7DZVv5iu3ruxPvYejLya+6Tf6krdhRRVbUbn7Hpl1cjrFEzgepAyK4G0ldjbSV2U9H/eWs1z3uLiSQH1XcVX/x1VrQqvYW32PT7a2/55RKn5DFWKygmopMyppqKTCiiiqKCiiigApv3sgYI5BIPIpTk8DIyOo7UtABRRRQAUUUUAIvAwMDHGB2paTOGHIGe3qaWgEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFMYpGhdiERcsSTgD1JqnJrFmkhiidrmYcGO3UyMPrjhfxxUcqajqULwtaW1tbyKVcXWJWZTwQUU7en+0fpUqcb2WvoR7SL219DRU5VWV9ynnPqK4X4garFpmhXmr6UEudXsgsgWFDIBhhy+Om0EnJIOMjoSDgeItNsdNkXw34bv8AV7zWZCW+wW06fZ4c/wAUgZSqKM9OvTpnNdN8KYdT/wCEVe71S/ku5J7iQRZPyIiMU+UYGASrHp6V6NTLpxofWXJJXVk/ifZ22Wz1u7iXPKSurFb4S+NdZ8eeGb+41WFLeaCbyY7q2TaHyueA2RuXPpjkcda6LTPCB0hb37Jr+qq17dPdzuy27FpGxk8xegAx2xWiyppt6ksaqltORHKqjAV+it+P3T/wH0rUrklG1mdqdzK0nRLLw9Z3C2MMskkztPPI77pbiQ9WZmIyT+AHbAqn4Ntr2x0N7W/sZbWUXdzKA7o25ZJ5JFxsY/wsM5roaKkYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVHcTx21vJPKcIiliaaV3ZAUtRY3Miach/1o3Tkfwx+n/Ajx9M+lXAAAABgDoBVWwhkVHuJxi4nO9x/dHZfwH65PerdaT091dDJu7CiiioEFFFFAHF/FeFpPhzqUsf+tt2inQ+hWRT/ACzXYQTLcW8UyfckQOv0IzWP4ytftvgnXLfGS9jNtH+0EJH6gUeDLr7b4J0O4zkvYw7j/tBAD+oNd0vewUf7sn+KX+RPU3Kzdb+e1gtu9xcRp9QG3N/46rVpVmXf73XLGLtDHJOfY8Iv6M/5V5tX4bdyK3wW76feXqKKKBhRRRQAUhPYdSODjignHAxuxwCetAGM9efegAAAzgYzS0UUAFFFFABRRRQAjHAzkDHUmlopB3GScHuKAFooooAKKKKACiiigAoqjLq9nHIYo5DcTDrFbqZGH1x0/HFND6tdf6q3hs0P8Vw3mP8A98Kcf+PfhUc62WpHtFstfQ0Koy6vZpIYo5GuJhwYrdTIw+uOn44oGixTc39xPeH+7I22P/vhcA/jmtCKGKCMRwxpHGvRUUAD8BTtN+Q7VH5fj/X4maH1a6/1dvDZIf4pz5j/APfKnH/j34U4aJFNzfXE96f7srYj/wC+FwD+Oa06ytf8RaZ4Z043uqXIijzhEHLyt/dVepNaU8O6klBJyb6f8Afso/a19f8ALYv/AOj2NqT+6t7eJSSeERAOp9AK4S48Rax43uJNP8Is1ppasUudckXr6rAO5/2u3twSkWi614/lS78SpLpughg0GjqxEk/o05HT/d/ljJ723t4bS3jt7aJIYY1CpHGoVVA7ADpXp2pYPtKp98Y//JP8F5l7+hmeHfDGmeF7E22nQkM53TTyHdLM39527nr7VB4M0y70bwvb6dexhJYJJlGGDbk81ip49VINb9Fcs8TUmpKbvzNNt73V/wDMdiOaFLiB4ZV3I6lWHsai06eRo3tp2zcW52sT/GP4W/EfqDVmqN8DbSR6ggJMQ2zAfxRnr+I6/mO9Zx95cn9XKi7M0qKRWDKGUggjII70tZGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVmzn7dqKwDmC2IeX/ak6qv4fe/75qzfXX2S2Lqu+ViEiT+856D/H2zTbO2+y2yxlt78s7nq7Hkn861h7q5vuIk+hPRRRUEBRRRQAUUUUAMmiWeCSF/uyKVP0IxXHfCiVn+HWnQyf622aWB/YrIw/liu0rh/hv/o6+JtOPH2XXLgIPRGwV/rXdR97B1Y9nF/mv1Je6O4rLt/32t6hN2jEduPwBc/+jB+ValZWjfvLJ7jvcTSSg+qljt/8dC15k9ZJfP8Ar7yKmsor5/195oUUUUxhSE4BOM+woJwCfT0FGOcnBPbjpQAAdec0tFFABRRRQAUUUUAFFFFABSdG6nkdMcUtI3TPPHOB3oAWiqM2r2cUphWQzzjrFApkYfULnH44pok1W6/1NtFZof47lt7/APfCnH/j34VHOtlqR7SOy19DQqjLq9nHKYUkM8w6xW6mRh9QvT8cUDRY5ub+5nvD/cdtsf8A3wuAR9c1fhgit4hFBEkUY6KihQPwFO035DtUfl+P9feZwk1a6/1VtFZof47ht7/98Kcf+PfhThosc3N/cz3h7pI22P8A74XAP45rTop+yX2tf6+4fso/a19f8thkMMVvGI4YkjjHRUUAD8BT6KK02NErBRTZJEijaSR1SNAWZmOAAOpJrgbrxLq3jS6k03wc32fT0bZda5Ivyj1WAfxN/tdB7cGunD4ada7WkVu3sv66Ld9AbsaviPxommXq6No9qdV1+UfJaRH5Yh/elboq/r9M5qLQPBbxaiNe8S3Q1TXT9xiP3NqP7sS9sf3uv05zreHPC2meF7JoLCImWQ7p7mU7pZ2/vO3f+VbVbzxMKUXSw2ie8ur/AMl5Lfq2K19WFFFFcBQUUUUAFHWiigClp5+yTvpzfcUb7c+sfdf+Anj6EVo1Rv4HliWWDH2iBt8We57qfYjI/wD1VZtriO6to54ydjjIz1HsfcVc/eXP9/r/AMH/ADNIvoS0UUVkUFFFFABRRRQAUUUUAFFFFABRRVLUZnCJawMVuLglVYfwL/E34D9SKqMeZ2BuxFCft2oNdHmCAmOH/abozf8Aso+h9avUyGFIIUhiULGihVA7AU+qnK702MXqFFFFSAUUUUAFFFFABXD+F/8ARfiX40s+iyG1ukHrujIY/nXcVw6/6J8bXHRL7Qw31dJcf+g13YPWFaHeP5NP9CX0Ot1O4NppV3cL9+OJmUerY4H50lnbi0sbe2XpDGsY/AYqHWvngtbbvPcxr9Qp3n9ENXa8t6zfl/X+Rm9aj8v6/wAgpCQASTgDqTS0nJPcY/WqKDBJye3TBpaKKACiiigAooooAKKozatZQymESmacdYoFMjj6hc4/HFNEuq3X+ptYrRD/AB3Lb2/74U4/8eqOdbLUj2kdlr6GhVGbV7KKUwrKZpx1igUyOPqFzj8cUDRkm5v7qe7/ANhm2R/98rgEf72avwwQ20QigiSKMdERQoH4Cnab8h2qPy/H+vvM4Sardf6m1is0P8dy29/++FOP/HqcNFSbm/uZ7v8A2GbZH/3wuAR9c1p0U/ZL7Wv9fcP2Ufta+v8AlsRW8ENtCIYIVijXhVUAD9KlpP4uh5HXNLWtrGiVlZBRRRQMKKKKACszXvEGmeG9Na+1S5WGIcKOrSN/dUdSayPEnjSLSbtNI0q2bVNfmH7uyhPCD+9I3RF+v/16r6F4Ll/tJdf8UXS6nrfWMY/cWg/uxKf/AEI8/wAz3U8LGEFVxLtF7LrL07LzfyuS30RnR6RrXxBkW68QJNpfh7IaHSVYrLcjs0xHQf7I/pk99a2tvZWsdtawxwwRLtSONQqqPQAVLRWWIxUq1opWitktl/m+7eo0rBRRRXMMKKKKACiiigAooooAKoxH7DqRjPFvdksnosvcf8CHP1B9avVBd2y3ds8RYqTyrjqrDkEfQ4NVBrZ7ME7FuiqthdNdW2ZFCzxkpKo/hYdfwPUexFWqiScXZmwUUUUgCiiigAooooAKKKKAEZlRSzEBVGST2FZ1gGuHk1CQEGYARKf4Yx0/E9T9QO1Lfn7XcJp6/cIElwf9jPC/8CI/IGrta/DHzf5Gcn0CiiioJCiiigAooooAKKKKACuH8S/6J8UfBt30WdLu1c/8ADKPzrqdY1C502yFzbaZcaiQ4Dw27KHC85YBiM9uM55rgfFfiLTtXbwxqdjKwlsddgiuYJkMcsAcEMHQ8j+Rr08tozdTmS0akvvi0r9tdrkyZ3V1+916zj7QwyTH2YkKv6F6vVyWn6lf6/4mnvNJkt10eJlglunG5p9hbKRjPAyxy3fjGa6s/NlRyOhweRXkum4N827vp2tpr9xlB3u+7/4H6AfmyO3QgjrTqKKRYUVSn1ayglMPm+bOP+WMKmR/xC5I/GmCXVbr/UWkdoh/jum3N/3wp/mwqOdbLUj2kdlr6GhVKbVrKGUwiXzZx1hgUyOPqFzj8aQaMJub+7uLr/YLeXH/AN8rjI/3s1fgt4bWIRW8McUY6JGoUD8BTtN+X9f11Hao/L8f6+8zhLqt1/qbSO0Q/wAdy25v++FOPzYU4aMs3N/dXF3/ALBbZH/3yuMj/ezWnRT9kvta/wBfcP2Sfxa/122I4LeG2iEUEUcUY6JGoUD8BUlFFaJW2NEraIKKKKYwooooARhkZABI5GaWikXgYwBjjA7CgQtFFZuua9pvhzTXv9UulggXgZ5Zz/dUdSfYVUISnJRgrtjNB3WNGd2CooJZmOAB6muCu/E+q+MLuXS/BhEVmjbLrXJFzGnqsI/jb36fmDUSaZrfxDdbjW0n0nw3ndFpgbbPdjsZiPur/sj/AANd9aWlvYWkVraQRwW8S7UjjUKqj0AFd9qWD+K06nbeMfX+Z+Wy632J1ZleG/CumeF7R4rJGeeU7ri7mO6WdvVm/p0rboorhqVZ1Zuc3dsdrBRRRUDCiiigAooooAKKKKACiiigAooooAoXB+w3yXg4hlxFP7f3X/AnB9j7Vp1DJGk0TxSKGRwVZT3BqvpsrqJLKZi01vgBj1dD91v0wfcGrfvRv1X5f1+hcX0L1FFFZFhRRRQAUUVzPiPW9T0/XtC0zTjaM+qTPGRPEzGNUQu8mQwyBhRj1PWgDpqiurhLS2knkztQZwOpPYD3J4rnZNfv9M8XaToV+ttcjVI52jmtkaMxGJQx3oWb5SDgHPXjHNefeJfDHxGvfjFbahYXUv8AYazwvG/njyYo1271aLcCTkHtz6js42vqB61YQPFC0k+PtEzeZKR2PYD2AwPwq1VP7Pqn/P8AWv8A4Ct/8co+z6p/z/Wv/gK3/wAcrWSUndyX4/5GXKy5RVP7Pqn/AD/Wv/gK3/xyj7Pqn/P9a/8AgK3/AMcpcsf5l+P+QcrLlFU/s+qf8/1r/wCArf8Axyj7Pqn/AD/Wv/gK3/xyjlj/ADL8f8g5WXKKp/Z9U/5/rX/wFb/45R9n1T/n+tf/AAFb/wCOUcsf5l+P+QcrLlFU/s+qf8/1r/4Ct/8AHKPs+qf8/wBa/wDgK3/xyjlj/Mvx/wAg5WXK4vx98P7bxjaJJBItnqcbKFuRkbkBBKtjqO49CPrXUfZ9U/5/rX/wFb/45XHfE7RvGWp+Dpbfw9eq10ZVMkdspgkkjwcqHL/TjuBj2O1CvPDVFVpTtJev+QODejN/wzZwWXh+3htU8uA7miA/hQk7P/HdtXJ9WsoJTD53mzj/AJYwqZH/ABVckfjXC+EPB/i+LwLa2msasIr9chYJwZRGmeFZlfDceucDA7VuwaD4vtYhFb65pkMY6LHYBR+QrzZSqLS1/P8AqxWHwUpw1qRjbvzX9dF+ptCbVLr/AFFpHaof47ptzf8AfCn+bCnDRhNzf3dxdf7G7y4/++Vxkf7xNZH9leNv+hisP/AL/wCvR/ZXjb/oYrD/AMAv/r0v8UW/u/zOj+y6b+KvF/8AgX5ctjpYLeC1iEVvDHFGOixqFA/AVLXK/wBleNv+hisP/AL/AOvR/ZXjb/oYrD/wC/8Ar1oqltFF/h/marAQWirQ/wDJv/kTqqK5X+yvG3/QxWH/AIBf/Xo/srxt/wBDFYf+AX/16Pav+V/h/mH1CH/P6H/k3/yJ1VFcr/ZXjb/oYrD/AMAv/r0f2V42/wChisP/AAC/+vR7V/yv8P8AMPqEP+f0P/Jv/kTqqK5X+yvG3/QxWH/gF/8AXo/srxt/0MVh/wCAX/16Pav+V/h/mH1CH/P6H/k3/wAidVRXK/2V42/6GKw/8Av/AK9H9leNv+hisP8AwC/+vR7V/wAr/D/MPqEP+f0P/Jv/AJE6qq2ofa/7OuPsBjF35beT5gyu/HGfbNc9/ZXjb/oYrD/wC/8Ar0f2V42/6GKw/wDAL/69DqN/Zf4f5lRwUItP20P/ACb/AORNnQ9Wj1rS47pBsl+5PCfvRSDhkI7EGtDow5Az+ZNeZafp3im68Yz3GnatasIiI766S32wyMP4NufnYeoxjpmo/i3oHj3VtN05PDl40qpKxuIrNvszk8bCSX5AOeO3X6OjNzi2+n4hmOChh6i9nJNPWyvp5O6Xy623SOs8UeL00KeDTbGzl1HXLpd1tZRenTe7dFUEHn2+pFLQ/Bc8mpJr/iu5TUtZHMUYH+j2Y9I1Pf8A2jz/ADOl4b03xDbeHtNTVr+1fUktkSeRrcu27HIL7/mPqe55rV+z6p/z/Wv/AICt/wDHK9OOIVOlyUrRb3et35baLyW/V2PN5HfUuUVT+z6p/wA/1r/4Ct/8co+z6p/z/Wv/AICt/wDHK5OWP8y/H/IfKy5RVP7Pqn/P9a/+Arf/AByj7Pqn/P8AWv8A4Ct/8co5Y/zL8f8AIOVlyiqf2fVP+f61/wDAVv8A45R9n1T/AJ/rX/wFb/45Ryx/mX4/5BysuUVT+z6p/wA/1r/4Ct/8co+z6p/z/Wv/AICt/wDHKOWP8y/H/IOVlyiqf2fVP+f61/8AAVv/AI5R9n1T/n+tf/AVv/jlHLH+Zfj/AJBysuUVT+z6p/z/AFr/AOArf/HKPs+qf8/1r/4Ct/8AHKOWP8y/H/IOVlyiqf2fVP8An+tf/AVv/jlH2fVP+f61/wDAVv8A45Ryx/mX4/5BysuUVT+z6p/z/Wv/AICt/wDHKPs+qf8AP9a/+Arf/HKOWP8AMvx/yDlZcqlfo0RjvolLSQZ3qOrxn7w+vce496X7Pqn/AD/Wv/gK3/xyke21YxsEv7QPg7SbRjg/9/KceWLvzL8f8g5WX0dZY1kRgyMAysOhBp1eNfCbwz8QtE8V6jL4lnnGmtEy7ZbkSrLLldrIoJ2jGecDjjHp6LfeIZpdebQdFgjuL+JFlu5pSRDaI33d2OWduSEGMjkkCsn5Gp0FFc3fanrul6jpFpJHZ3q6jdCAzRRNF5ACNIxKlm3ZVGxyMHHWukpAFcOYF134s3JMkgh0PTEiBjcqVmuG3Hkf7Ea/nXcVkL4U8OIzsugaUrScuRZxgt9eOaAOb0FlHxR1q3s83tpDYxia9mPmSQTlz/o6yHnbtwxXsfrXd1Da2ltY2629pbxW8K/djiQIo+gHFTUAFFFFABRRRQAUUUUAFFFFABRRRQAVwfxJ1q/sNH83TZ2hjsbu0kvZUOCVaZAIwfcHLe2B0auq1zVxounSXP2O8u5MERw2ttJMzt2B2Kdo9zXE+PfD8z/DjVIoLjVby9u0EohhgZ/NmJD8oqFlGRxn7uAO1AHpFFcl4pvJLjwSupQveWsweAgfvIHBaZFYMpwfUYI711tABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVbUIbi5065gtJxb3EkbLHMVzsJGAce1WaKGr6DjJxakuhU0vToNI0y3sLZcRQIFHqT3J9yck/WuO8Va1fw+KPDLWs7R6YNYWynCnHnyPFJwfVVIA92z3Wuk1/WH02COGC3vJbq5YRxvBZyTLFk4LuVUgBc5wSM4rjvG+ivp2naCLE6xfPZatbXSwxwPONqPl2YonXBJyTk5PWkkkrIcpSnJyk7tnpNFcp4lhmmsby5hurt7i7tVi0y0hLwyJPhju6juyk7gNoU54yK6PTxONNtRdSpNcCFPNkj+674GSPYnNMksUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVw3w5hMNz4tF1/yEW12dpw33vLIXyvfbswR+NdzVG70bTr65FzcWcT3AXZ5uMPt/ulhyR7dKAHpdR3F+8CRiRbcZeXOQjnjaPfBOfQEetW6ZDDFbwrDBEkUSjCoihQB7AU+gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKOq6PZa3afZb9JXg3BiiTvHkggjOwjOCAatxRrFEsaliqjALsWP4k8miigB9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBi6r4U0rWb5b28F756x+UGg1C4gG3OcYjdR19q1oII7W3it4V2RRIERc5woGAKKKAJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//Z) +![md5:fdfec835ef183dc40e6a5a42f3bdd242](fdfec835ef183dc40e6a5a42f3bdd242.jpeg) Consequently, triangles \(A_1A_2B_1\) , \(B_1B_2C_1\) , \(C_1C_2A_1\) are congruent, as \(\angle A_2 = \angle B_2 = \angle C_2\) . So triangle \(A_1B_1C_1\) is equilateral and the diagonals are concurrent at the center. @@ -108,7 +108,7 @@ From this we deduce \(a_{n + 1} \in \{k, k + n + 1\}\) as desired. This gives us actually a complete description of all possible sequences satisfying the hypothesis: choose any value of \(a_{1}\) to start. Then, for the \(n\) th term, the set \(S = \{a_{1}, \ldots , a_{n - 1}\}\) is (in some order) a set of \(n - 1\) consecutive integers. We then let \(a_{n} = \max S + 1\) or \(a_{n} = \min S - 1\) . A picture of six possible starting terms is shown below. -![](data:image/jpeg;base64,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) +![md5:475654980bc07245b09a270d10acd8f9](475654980bc07245b09a270d10acd8f9.jpeg) @@ -193,7 +193,7 @@ Let \(A B C D\) be a fixed convex quadrilateral with \(B C = D A\) and \(\overli Let \(M\) be the Miquel point of complete quadrilateral \(A D B C\) ; in other words, let \(M\) be the second intersection point of the circumcircles of \(\triangle A P D\) and \(\triangle B P C\) . (A good diagram should betray this secret; all the points are given in the picture.) This makes lots of sense since we know \(E\) and \(F\) will be sent to each other under the spiral similarity too. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGkAkYDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKCQBk8CmM+MhRk8delFxN2H03zF45zzjjnFMPzZycjOQPSip5hcwu9uOAOec+lJluMt0PYdaKKVybsTHTk8e9AVRjAHHT2paKQhAqjGAOOnHSgKBjAxjpjtS0UAAyMYJ49TmlDMMAnIA5yOTSUUx3HCTpuXBxk45ApwYMAR0PNR0hUHPYkYyOD+dO4+Zk1FR72GTjI7AU8MGzg9ODTTKTTFooopjCiiigAooooAKKKKACiiigAoqOWeG3XdNKka+rsAP1qr/AGxYn/VzNN/1wjaT/wBBBqlCUtkFy9RVH+0mb/V6fev/AMAC/wDoRFH2y8P3dLmH+/LGP5E1Xs5f00K5eoqj9qv/APoHD/v+v+FH2y9HXTJD/uyof5kUezfl96/zC5eoqj/aMi/6zTb1P+Ao3/oLGj+2LNf9a0sP/XaF0H5kYo9lPor/AIhcvUVDBd29yM29xFKPWNw38qmqGmtGMKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFIzBcZzzx0prsRwPvEHBIyBTcDJOOTyaTZLYElvvcdRgHiiiipJCiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRjkH05FFFACiTH3+nJLdAKkqKgEqfXPqelUmNS7ktYLeKYzr9zosOl6hPeW8SzOI/K2+WxIVtxcDnaeDzx0rdDBhlSCPUVwfhNdQ1HWPFevWclsv2vUDaQmZGYFLdfLBGCOC281RZ1Wla9Z6vcXtrD5sV5YuqXVtMu14iwyuexBHIIJBrTri/h6be8Gvao4kbV5dRe11GViChkh+RVjxj92AeM88nPNdPNqUaytBbo9zOOCkXRf95ug/n7VUYuWwF2qtxqNrbP5bybpe0UYLuf+Ajmofsl3dc3lx5aH/lhbEqPxf7x/DFW7e1gtU2W8KRr1IUYz9fWqtCO7v6f5iKvn6hcf6m1S3X+/cNk/98L/AFIo/s+WX/j6v7iT/ZiPlL/478361foo9o18KsFipFpljA29LWLf/fZdzfmeat0UVDk5bsYUUUUgCiiigAooooArT6fZ3J3TWsLt/eKDI/HrUP8AZpj/AOPW8uYf9kv5i/k+f0Iq/RVqpJaXCxQ8zU7f78MN2nrEfLf/AL5Y4P8A30KfFqdtJIInZoZj0jmUox+mev4Zq5TJoYriMxzRpIh6q6gg0+aL+Jfd/X+Qh9FZ/wBgmtubC5ZFH/LGbLx/h3X8Dj2pU1IROI76I2rk4DE5jY+zf0ODR7O/w6/mFy/RRRWYwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmO2DgdevI4xSs+3AGNx7E9u9MAx6/ialslvoIAB0AHOaWiipJCiiigAorJ8S67D4a8PXurTRtKLaJpFhT70hAJwPwBJPYAntV3TrxdQ0y0vVG1biFJQM5wGUH+tMCzRRRSAKKKKACiiigAooooAKKKKACiiigAooooAhuYpZoHjiuZrdmwBJEELLz1G5WH5g1w+gjw7Z2Enh3RPG17ObQurW9vJbvMSzFmwRFuJ3McsOh7itfxf4utvDekTzbfOmH7tUBwC56Lkd++ByBzxXk/w98IS/D34h6Rc6wzAatayRwAEjyZWIOx/U4wPq3tXdSwVaUPaW016q7sru3yEqkU7Nns2kaBHY6bFYQRfYNPjyVtonJdyTkmSTOSSeTg/UmtuGGK3iWKGNY416KowBT6K55Tb06GoUUUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUjosiFHUMpGCCMg0tFAGebKey+bT3HljrbSk7P+Anqv6j2FTWt9Fcs0ZDRToMvDJwy+/uPccVaqvdWcN2q+YCHQ5SRDhkPqDWnOpfH9/8AW4ixRWel3NZusN+QUJwlyBhWPYMP4T+h9ulaFTKLiMKKKKkAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqL6pEzmO0je7kBwfK+6p92PA+mc+1VGLlsBepks0UEZeaRI0HVnYAfrVPyNQueZ7lbZD/yztxlvxdh/ICnxaXZxOJPJEko/5aSku35tk1XLFbv7v6/zEM/ta3cf6Os1z7wxEqf+Bfd/Wl+1ahJ/qtOCD/pvOF/9BDVeoo5oraP3/wBICjt1Z/8AlpZRf9s2k/qtIYNRwS2oRjHPyW3+LGr9RucsBg8c5zSdRrZL7kD0KP2e/PP9o5+sC0eTqS/dvbdv9+3P9HFXaKj2j8vuRmUt2pp/yztJfo7J/Q0fbbiP/XafOB/eiZXH88/pV3OKbvX+8Dzjj1pc66pAVk1SzdwhnEch6JKDGx/BsVbqN/KlTZIgdScEMuRWZeaJZXdq9vHLd2iSfKfsk7xf+gkY/DFH7t9bCuYuu/a9as9WMenvcWf2Oe1tnEigEsrK74Jz/sj2BI4arvw+uftfw78OzZyf7PhUn3VAp/lUkOmnTtFj0dYZJtPjQQp5FxJHMqjoNxbdjjHDDjgDHFcn4Y8f+C9N8SJ4G0eK+t/LkaGIzMzxCQZzGC7lhyCOmM0ONkUnc9MoooqACiiigAooooAKKKKACiiigAooooAKzJ7s3Ky+VN5FnECZrrOOB1Cn27t27eznZtTkaKJitmp2ySKcGU91U+nqfwHeuK8YXk3iXWofA2jv5UAAk1SePpFEMYjHueOPoOma7sLhvaVOV6W1b7Lv69l3IlKyuVvD9qPG/iYeIJYSmgaY5j0uBhxK4PzSkHrzz9cehz0Pj7QZNd8LzLa5F/aMLq0ZfvCROcD6jI+uK37Kyt9OsYLK0iWK3gQJGi9gKsVrUx0vbxq09FD4V5efr173ObfczPB3iCPxL4YstRUqHkQLKueRIOGH5jI9iK36800Enwj8R7/QjhNP1kG8scj5Ul/jUfr+AX1r0pWDDI6VnjaUadW8PhlqvR9Plt8jrpT5o6i0UUVyGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA10SRGR1DIwwVYZBFZxMmkdS0lh6nloP8V/UfTpp0VcZW0ewCKyuoZSCpGQQcgilrMZTo7GRATp7HLoP+WB/vD/AGfUduvStIEMoZSCCMgjvRKNtVsAtFFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTZJEhjaSV1RFGWZjgAUAOqnPqCpKbeCNri5HWNDwv+8ei/wA/QGod1zqf+rL2tof48YkkHt/dHv1+nWrtvbQ2sIigjVEHYdz6n1PvWnKo/Fq+3+Yip/Z8t382oy+Yv/PvHlYx9e7fjx7VeRFjQIihVUYCqMAU6iplNy3GFFFFSAUUUUAISAMk1DkKpZgq9zjpmiWTdhUIGRk56j04/wA9KZjnPfpms5SMpS10HFzzheh796aSTnJPXIxRRUXIuxMD075/GloooEFFFFABXiVh4Ht/E3iTxJ4n0uQ2d9DqDCxkU/IZFzuYj/ayDnsTmvWvEepf2P4c1HUM4aCBmT/exhf1IrG+H+mnTPBWnRsMSTJ9ofPUlzuH6ED8K9DDWpUJV7Ju6Sur+b/RfMzqSa0RV8J+LLy+aXTtQhKaraE/aLVvlk/307OvPTr7ng12Vvdx3CbonDgEhuxX2I7H61y/irwr/bQi1DT5vsetWnzW1yvGcfwt6j+WfTIMPhrxAuvySWV8h07xHZjbPGON4H8QH8S+3bPHY1dalTrQdeird128/wDD59NmEJvZnaq4OB0J5wetOrOiu2SVbe7URytwjD7kn0PY+x/WrgJQfL0AwF6CvPd47mykS0UgYNnGePaloKCiiigYUUUUAFULh3vZ2s4WKxr/AMfEinkf7APqe/oPc1Je3Dpst7fH2mbIXIyEHdj7D9TgUyaaz0LSZbi4lEVtboZJZHOSe5J9ST+ZNawi1ZpXb2/r8hMxfGfiVPCuhxx2UQk1K5It7C2UZ3OeAcegyP0HemeC/DP/AAjekEXD+dqd23nXs5OS8h5xn0GT+p71h+EbO58U67L421aJkjIMWlWz/wDLKLpv+p5/MnpivQK9DEtYen9VjvvN+fb0X5+iOaUuZ3CiiivOEcf8RtInvfD6anYZGpaRILy3YDn5eWH5DOO+0V0/h3WYNf0Oz1O3J2XMQfb12N0ZfqDkfhVkgEEEZB7VwPg1j4W8Y6r4Rk3C1mJv9NGcZU/eQfTH/jpPeu+H7/CuH2qeq/wv4l8nZ/eXTlyyPSqKbJIsUTyNu2qCx2qWOB6Acn8Kxrbxdot7G8lrcTzpG7Ru0VpMwVh1UkLwR3FcB2G3RVTTdTstYslvLCdZ7dmZQ4BHKkqwwecggj8Kt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAHWsxP+JTOsZ/48JWwh/54sf4f909vQ8dCMadMliSeJ4pVDxuCrKehFXGVtHsA+iqFlI9vMbC4YsyjdDIx5kT3/wBocA/ge9X6Uo8rsAUUUVIBRRRQAUUUUAFFFFABRRUVzcx2kBllJ2jgADJYnoAO5NNJt2QCXNzFaQmWVsDOAAMlj2AHc1VitZbuVbi+XAU7orbOVT3b+836Dt6061tZJZhe3gHnY/dxZyIR6D1Y9z+A4q9VtqGkd+/+X9f8FBRRRWYwooooAKKKRm2jOCfpQAM20E4yfQd6jOWOTg4ORx0pMc5JyfWgkKCT0HNQ2Zt3IydxJyCM4HtRQM45OT60VmZBRRRQAUUUUAFFFFAHDfE2RrnTNM0KJiJNUvY4jj+4CCT+BK12McaxRJGihUQBVA7AVxVyf7Y+L0EXWHRrIuR2Ej//AFmU/hXb16GJ9yjSpeXM/WX/AAEjCTvJhXM+KvCv9tCLUNPm+x61afNbXK8Zx/C3qP5Z9Mg9NRXNRrTozU4PUk5nwx4mj8QxzaRq9uLbWbb5bm1fjdj+NPboeOn5Gt0SyaewjuHL2xOEnPVPZ/8A4r8/U4Xirwr/AG0ItQ0+b7HrVp81tcrxnH8Leo/ln0yC7wr4qGuLNpeqQC11q2G25tXHDj+8vqD/AF9MGuurShUg61Fafaj/AC+a8vy2ZpCd9GdVgHGee9OVz0b3Oe1ZysdNdY3JNmxwjk8xHsp/2fQ9ulXyAQQRkGvPa5dUapktFRqxBwcnJ/Lj/P51JTTuaJ3Co55kt4HmlbCIMk1JVCX/AE3UBD1gtiHk/wBqTqq/h97/AL5q4Ru9dgH2MMg33VwMXE2CV/uL2X8O/uTXA69M/j/xYPDdq7f2HpriTU5kPEsgPEQP1H559BWz498SXOm21vouj/PrupnyrdVPMS95D6Y5wfqexrQ8LeHLbwvoUOnQfO4+eaXHMsh6sf6ewFelQ/2en9al8b0gu3eXy2Xnr0Makvso2I40hiSKJFSNFCqqjAUDoBTqKK84zCiiigAriPiPYXEVjZ+JtPXN/oson4/jiP31Ptjn6Zrt6ZLFHPC8UqB43UqynoQeCK3w1d0Ksam9t13XVfNAVD4hs18HyeIozutI7NrsFjyVClsH34xXL/D5dZ0vw14b0+TTwq3ayXd3dGUE5cNKcrjglnUe2K4+3iCrrPwsu/EFrpiyzD7JJPCZHmhdgwjU71AJ6Y5J3nHSvUL3TtfubP7HBrtjaRN+7Z7fTn8xV7hCZiFOOASDijFUo0arhF3XR+T1X4HZCV4ps2bCC3gtcWrBopHeYMCCCXYuSCO2WNWahiVIIY4YYgkcY2KvQKo4GP0p25+OnXnjtXPdFcyJKKiy3HzHrntz7UZbj5jwc0uYXMS0VECwx8x4Oe3NALDHzZ55yKfMHMS0VGHbjIB55PTilEmcZBGaLofMh9FIrBgCDwaWmMKKKKACiiigAooooAKKKKACiiigAooooArX1qbmEeWwSeM74n/usP6HofY0tndC7tlk2lHBKuh6ow4IP41YrPm/0HUVuBxBckRy/wCy/RW/H7p/4DWkfeXL93+X9fqI0KKKKzGFFFFABRRRQAUUUUANkkSGJpJGCogLMxPAAqjaRveTrf3ClVH/AB7xN/Ap/iI/vH9Bx60j/wDEyvTF1tLdv3npJIOQv0HU++B2NaNaP3FbqxBRRRWYwooooAKKKKAEZgoyc+nAqIerY3YAJAxmlJyxJ47YzRUN3IbuFNkOEPJHbIGadTJD8o5IyewpPYl7DaKKKgzCiiigAooooAKQkAEk4A6k0tc/441P+yfBmqXIbDmExIe+5/lGPpnP4VpRpurUjTju2l94m7K5g/DvOoPrviFwc6jesIyf+eafd/mR+FdxWN4S03+yPCmmWRXa6QKzj/bb5m/UmtmunG1FUxEpR2vZei0X4I50FFFFcoBXM+KvCv8AbQi1DT5vsetWnzW1yvGcfwt6j+WfTIPTUVpRrTozU4PUDm/C3ilddSfStVgFrrNsNlzauOHH95fUH+vpg1uW7tZzrZysWjb/AFEh7/7B9x29R9KwfFXhX+2hFqGnzfY9atPmtrleM4/hb1H8s+mQW+G/EqeI4Z9I1WI2et2vE8B4OR0kT26H29wa66tKFSDrUVp9pfy+a8vy2fRmkZ30Z11Kh24XjHRQB0qpZztKrwzgefEdsgA4b0Yex/xHavOvBh8M3Om6tqt8unuLzUbh7aEqrvHArbEVEGWGdpbCjndXntOLNl3PTby5FpayTFdxUYVR1ZjwB+JwKzb/AFG08K+HZ9Q1CT5YVMkhHWSQ9h7knArC8DQas2mxQ6wJkEM8tzDDcPukhiZj5MbkkklVyeSSPl9KyGb/AIWR4wz97wxo0vH927uB/NR/L/er0cJh41NamkI6yf5Jeb6et+gTlZF7wNo93eXNx4w1xP8AiZ6iP3ER6W0H8Kj0JGPw9ya7iiissTXlXqOb07LsuiXoYBRRRWABRRTC+fu8jkE0m7AOJCqSegqvc3a26jIJdjhFAyXPoB/XtUU9z5cghhXzrkr06YHqx7D/ACKdb2oiYyyN5s7DDSEdvQDsKeyuybnjvxH+H7R6+njySd5EjuYJLyyjByqKVXKvn0AB475r3C2uYry1hubdw8MyCSNx0ZSMg/lVK9s4dQs5rO5jEkMyNG6n+6QQf0Ncp8Nb2ayj1HwjfuTd6PKRET1kgY5Uj8/yK11Rpxq4WU4r3oO784vT8H+ZtTm27M72iiiuE3CiiigAooooAKKKKADAznv60AsoGDnAwAT1/GiimA4SLznjAySelPqKgEjoepyc800ylIlopqsG9j6GnVRQUUUUAFFFFABRRRQAUUUUAFR3EEd1byQSjKSKVNSUU07O6AqadPJLbGOc5uIWMUvuR3/EYP41brPm/wBF1aGYcR3I8l/Zxkof/Qh+VaFVUWt11EgoooqBhRRRQAVT1C4kijSGAj7TOdkeRnb6sfYDn8h3q5WfY/6Xcy6g3Kt+6g/3AeT/AMCPP0C1cEvifQTLdtbx2tukEQOxBgZOSfUn3PWpaKKltt3YwooopAFFFFABUchDfJlT/eBGeKeSFUk5wBngZqPnuSeaTJkwoooqCQpkn8PJHPYdeKfTJPujkjnsOtD2E9htFFFQZhRRRQAUUUUAFcJ8QT/aep+HPDq8i7vPOmUf884xz+hP5V3dcFZH+2Pi1qV396HSbRbZD6O3J/m4rvy/3akq38ib+ey/Foio9Dt6KKK4zEKKr3d9bWKBrmZU3HCr1Zj6KByT7CqZvdRuv+PSyWCPtLdtgn6IvP5lTWcqkY7s1hRnJc2y7vT/AIf5GpRWV9gvZebjVp/923jWNf1Bb9aP7Ftj9+e+c+97KP0DAVk8QuiL9lTW8/uX+djVrmfFXhX+2vK1DT5vsetWnzW1yvGcfwt6j+WfTIOj/Y1uP9XPfIfa9lP6FiKPsN9Dzb6tMf8AZuY1kX9ArfrWtDHSozU46P8ArfyD2VN7T+9f5XORbxbqepaNfW0GnSJ4stIJIpLVWRA2VOHG5hlQcHjJH0Oa6zwdZDSfBek2TwNb/ZrVEdXZTkgfM2VJGCcnr3rnfFOh3+oeVqEduINXtPmt7+yYk8fwuh52/Td19MisWP4oWFl4aurDVitrrC5RLQgjfnqAew64z0zjnFelKFHFRU6Dtqk49r9r7r8tmVyTitVdd1qa3ifVLu+EXhvSG26pq+ZLiUf8u1ufX0+UAfh6kV2Oh6RZ6Fo1tp1iuLeFMA92PUsfcnmsHwV4fn062m1XVPn1nUT5lwxH+rXtGPTHp+HYV1aHkgknv06VWKrRivq9J+6t33ff0Wy8vU5r3dx9FFFcZQUhOATQx2gnn8KjYgZdyoC5OTxgUm7CbFJLdenBA6GqclxJPI0FoRlTiSYjKp7D1b+Xf0pu+TUOIi0dr3kHDSf7voPfv29auRxpFGscahUUYCgcCj4d9yRlvbx2yFUBJJyzMcsx9SalooqG23dgBGccA8jrXCeNlbw14l0jxnAp8mNhZ6iFH3oWPDH6H9dtd3jJHAPPeq2r6ZBrWkXem3IzDcxmNvbPQj3BwfwrswNZUaqlL4Xo/R6P+u40aaOsiK6MGVhkMDkEUtcR8NNVnl0WfQdQP/Ex0WU2sgP8SDOxvpgEfh7129ZYmg6FWVJ9PxXR/NanXF3VwooorAoKKKKACiiigAooooAKKKKADvnofWlV8cMRjgAk9TSUU7gnYloqNX2feI28ksTUlUnctO4UUUUxhRRRQAUUUUAFFFFAFa/t2urGWJDiTG6M+jjlT+YFPtLhbu0iuFGBIobB7HuPwqaqGn/ubm8tOySeag/2X5/9C31otYNdtf6/ARfooorMYUUUUAUdUkf7OttExWW5bylI6qDyx/BQfxxVyONIo1jjUKiAKoHYCqUX+k6xNL1S2QQr/vNhm/TYPzq/Wk9Eo/P7/wDgCCiiisxhRRRQAUUUUAMkPQcjPcU2huXPBHbk8Gioe5m9wooopAFNk+4eSMc8DNOpCMqRkjI6jtQJkdFAOQDzz6jFFQZhRRRQAUUUUAR3E8drbS3Ep2xxIXc+gAya4n4aQySaDdaxOP3+qXclwx9s4A/MN+dXviRqDWHgi9WPPnXZW1jA7lzyP++d1bGjaeulaJZWC4/0eFIyR3IHJ/E5r0Ifu8G31nK3yjr+bX3GNR62L1ZUuoT3srW+mbdqnbLduMoh7hR/E36Dv6U24lk1W4e0gdks4ztuJlOC7d41Pb3P4DnONCKKOCJYokVI0GFVRgAegryKtb7MTZRjSV5K8u3b1/y+/sV7TToLRzL80tyww88p3O349h7DA9qt0UVzESnKbvJhRRRQSFFFFADZJEijaSRgqKCzMTgADvXiPiDwKPiN4i1DxHBcPawRoAiFCTOE43Zz8ucHsemOteg+IbibX9WTwxYOVj4e/mX+BP7v1P8Ah710el2sNsbiKCMJBEVgjUf3VUf1Y16FNRw9Pnkryetuyuvz/L1Lhe90YPhzxj9rnOmaxGLXUYyFJPCyen0J49jnjqBXU3LPHbyPHIkbKpId13KPcjIyPxFcvrPhePWrRlhZYdSsmKQykcMnVVb1GDj8/cVyeqeML228Havol5G6as0X2O3Vslt8hEYGe/3shvQc9i2zUZe9T26rt2+T6P5Pu9JU1U1jo/wfp+q+7sdNpnifX7vwIPFUsemrF9nkuvspR0LRrkj95uOCVGfu8ZrqtK1OLVtFstUjjkjiu4EnVHHzKGUEA+/NcRr1jHoyeEdEaaa8sbi7jsHsZ9oieJYz8xCgE4KrwxIOTkHt28t7DGi+X85JKRxxkHcRwcfTH4U9XsYSatdEs00cCGWZgoXjP8h7npVYQyXrB7lSkAOVgPf3f/D86dDbO0ouLoh5h91R92P6ep9/5VbpXUdtzMKKKKgAooooAAMsvAODnntUlMUfPnA4GAe9Pqo7FI8/8SH/AIRLx9pnidflsNQxY6h6An7jn8h+C+9ej1h+JNEi8ReHr3S5cDz4yEY/wOOVP4ECs34c65Lq/hhba9yupaa5s7pG+9uTgE/UfqDXo1v3+FjV+1D3X6fZfy1X3GtJ62OuooorzDcKKKKACiiigAooooAKKKKACiiigApyMc7Tk9Tnj8qbSEAjBAI9DTBOxNRTEbOQTlhzwO1PqzRO4UUUUAFFFFABRRRQAVQm/c6zayfwzRvC3uR8y/oH/Or9UdV+S2in/wCeM8b59Bu2t/46TWlP4rd9BMvUUUVmMKbJIsUbSOcKoLE+gFOqjq/zae0A63DrD+DMAf0zVQjzSSAXSo2TTo3kGJJszPnsWO7H4Zx+FXaKKJS5pNgFFFFSAUUUUAFFFI3CHgnjoO9AEQ6ZwRnnBOcUtAGBiiszIKKKKBhRRRQBF0ZhknB7iilcfMDyc8ewpKhmbCiiigQUUUUAcH4vP9q+OvDOiDmOJ2v5x2wv3c/irD8a6XVLiXMVjauVubnPzjrFGPvP9eQB7ke9cz4cP9rfETxJrB5itdthCe3H38fiv/j1dDpX+lNPqbc/aTiH2hXIX8+W/wCBe1dWZz9lGnQW6ivvfvP80hUkryqPZfn0/wA/lYu29vFaW8cEKBY4xtUVLRRXikNtu7CiiigQUUUUAFYnibXP7G08CBfMv7hvKtYgMlnPfHoM/wAvWtW6uobK0lurhwkMSlnY9gK5nw1aTa5qj+KNQjKqcpYQt/yzj/vfU/4+1dWHpxs6tT4Y/i+i/wA/IEruxreGNC/sPTSJm8y+uG826lJyWc9s+g/xPetDTebQyd5JHf8ANjj9MVaZgqMx6AZqtpqldLtAevkrn64rKdSVRSnLdtfqbpW0Gt+51VG/hnjKH/eXkfoW/KsHxl4JsPFNuszQQDUYR+5ldAc/7Le38q3tR+SCOfvDKr/hnB/QmiS4ectHbHCr9+bGQPZR3P8AL9KcJyjy1I9NP6+VgvY8t8P/ABG0jxJqVp4QvtIDahBIUgmcL5IkjBGVwcocA429eRxmvU7Kxis4wFAL7Qu7GMAdAB2A7AV5/wCJPhzpllO3iLQkax1hJvOa681iMseWIJwOvJA6Z4NdH4V8VHVzLpupQ/Y9btPluLZuN2P419R/j6YNenSj7ag6lPpuuqXR+n679DOvHaa2f5nT0UUViYBRRRQAUUUjHA6gE8DPrQA5BwTgc9x3p9IAAMAYFLWiKQV5/fH/AIRD4n22oj5NM18C2uP7qXA+6348fmxr0CsDxnoA8SeF7uwUD7Rt8y3b+7KvK89s9PoTXZgqsYVOWp8MlZ+j6/J2fyHe2qOmorm/AniE+JPCltdTE/bIswXSnqJV4OfrwfxrpK5K1KVGpKnPdOx1J3VwooorIYUUUUAFFFFABRRRQAUUUUAFFFFAB6cn8KkByoOCM9jUdKh2tjAAPOc96pMaZJRRRVFhRRRQAUUUUAFVdTiM2lXcY+80LgfXBxVqkIBBB6GnF8rTAZBKJ7eKUdHQN+YzRVXRiTotkDyVhVT+Ax/SinNcsmgL1Ubz59S0+LsGeU/8BXb/ADcVeqifn15f+mdqf/HmH/xFVT3b8mJl6iiisxhRRRQAUUUUAFNk+4Rgn6HFOpsgyh4J9gcUMT2GUUUVmQFFFFABRRRQAjDcMHP4GoxnHIwfSpaiYBW6KA3T3NKREl1CiiipJCqeq36aXpF5fvjbbwvKQe+ATirlcV8T7qQeF49MgP8ApGp3UdqgHXk5P8gPxrowlH21eFN7N/h1/AUnZXKPhG1msfhwjliLzVJC5fvulYKG/wC+cGu3jjSGJIo1CoihVA7AdKzJ7aO2l0TT4hiKBiQP9lIyo/Uj8q1a48wruviZVO7B+7SjHvd/p+n4hRRRXGZhRRRQAUUVzvirWZ7SKHTNN+fVL47IQP4B3c+mP/r9q0pUpVZqEQM/Umfxf4gGjQMf7KsmD3siniRx0QH/AD39BXaoiRRrGihUUBVUDAAHas7QNFg0HSYrKH5mHzSyd5HPU/57Vp1eJqxk1Tp/DHbz7v5msY2RDeHbZTn0jY/pRAVis4ixCqsYySeAMVHqUiR6dcF2ABjZR7kjpUdvC91HFJcjEYUFIe31b1Pt0FZpfu7va5XUZcLLqVtKibo7dkIBxhpOP0H6mp7V1ksrZkXarRqw28AcDj9atVQ00YsUX+6WTr/dJX+lJyvTt2f9fkTIsSwpcxSQSqWjkRkYZ4weCK5TUvDLeItHs9QtZ/sviCwzHHdrxueMlSreoJB+mfQkHrl++OD065qppP7u81SDstyHX6Mik/8Aj26tsDXnQrKcHr/X4GsUp0ZRfSz/AE/VfcY3hXxUdXMum6lD9j1u0+W4tm43Y/jX1H+Ppg109c94s8JjXBFqGnzfY9btPmtrpeM/7Leo/ln0yDD4V8VHVzLpupQ/Y9btPluLZuN3+2vqP8fTBr2KtKFWDr0Fp9qPbzX938tmcTTi7M6eiiiuIQUq8v14HUYpCcDOCfpT1G0YyT7mnFDQtFFFWUFFFFAHAWx/4RD4pPAfk0vxGu9PRLleo/HP5sPSvRq5Dx9oUmu+F5ha5F/ZsLq0ZfvCROcD6jI+uK1PCWvx+JvDNlqiYDyJiZR/DIOGH59PYiu7Ffv6EMQt17svl8L+a0+RrSf2TbooorzTYKKKKACiiigAooooAKKKKACiiigApDnHGM9iRnBpaKAJFYMMggj2paYh5Kk+447U+rRadwooopjCiiigAooooAo6P/yDIx6M4/JyKKNH/wCQanu8h/8AH2orSr8cvViWxeqjDzrt2fS3hH/j0n/1qvVRg/5Dd7/1xhP6vRDaXp+qAvUUUVmMKKKKACiiigAprjKMME8dAcE06gjIxQBFRSD7o4I9j2pazMgooooGFFFFABSMMqQOvalooERdyOeOOlFOdc4I5I4602oasQ1YK4PWj/bHxV0awHzQ6XbveSD0ZuF/IhD+Nd5XA+CD/aviHxL4gPzLPdfZoG/2Ixj9Rt/Ku/Be5GpW7RsvWWn5XMqj0sdLd/8AIwaf6fZ5z+OY6v1Q1D5NW0uXszyQ5+qFv/ZKv14lb42aVPgh6fqwooorMyCiiigCnqmpW+kabNfXLYjiXOO7HsB7msXwnpdxPNN4j1Rf9OvB+6Q/8sYuwHpn/PU1SRf+E18R7j82h6a/HpcS/wBQP5fWu4rsqv6vT9kvilv5Lt+r+SLhHqFQz3Kw7VCl5W+5GvU/4D3pk1y3mGC3Aeb+In7qe5/wp8FusOWJLyt9+Rup/wAB7VxpJayNCE2jOkklwQ8zIQAPupkdB/jUli2/T7Z/70Sn9BViqmmcabCn9wGP/vkkf0qruVN37r9Q6lps7TgAn0NUdPAWCRQMATSYH/Ayf61cfnHAPOee1VLH/Vzf9d5P/QjUr4H8v1IluW1+/nB6dc1TsP8AkN6n9If5GriDknB/Oqel/PqOrS9vPWMe+2Nf6sfyqqPxo3pfw5+n6o1K5jxZ4TGuCLUNPm+x63afNbXS8Z/2W9R/LPpkHp6K9OjWnRmpwepg0mrM5Lwr4qOrmXTdSh+x63afLcWzcbv9tfUf4+mDXT1z3izwmNcEWoafN9j1u0+a2ul4z/st6j+WfTIMPhXxUdYeXS9RiFnrlrxcWzfxAfxL6g/pnuMV2VaMK0HXoL1j281/d/LZmDi4ux1CjJyeg6EGn0AADAGBRXIlYaCiiimMKKKKACuA8Pn/AIRL4j3+gN8mnawDe2Xosv8AGg/I/gF9a7+uO+I2kT3mgJqlhxqWkSC8t2A5wvLD8hnHfaK7sDKLm6E37s1b0fR/J/hcE7O53FFZ2g6xBr+hWeqW/wDq7mMPtz91ujL+BBH4Vo1wThKEnCSs0dS1CiiioGFFFFABRRRQAUUUUAFFFFABRRRQAA4YHJxnGAM5qWoT0PJHuOtTA5APrVRKiFFFFUUFFFFABRRUV1L5FpNN/cRm/IZppXdgK2jc6RbN/eXd+Zz/AFoqXTovI0y0iPVIUX8gKKqo7zb8wRZqiny69P8A7dtH+jP/APFVeqjL8muWzdpIJE/EFSP/AGanT6ry/wCCJl6iiisxhRRRQAUUUUAFFFFAEWMMRjAzkc9aKV1+bcAOmCe/t/WkqGZvcKKKKQBRRRQAUUUUAFRsuOQOPQD361JRQ1cTVzE8Uan/AGP4X1K/DbXigbYf9s8L+pFZngPTf7L8F6bAVxI8XnP65f5ufoCB+FZvxQkNxb6N4fi4bVb5VdVHOxSCx/Mg12iqqIEUAKowAOwrtknTwcY/ztv5LRfjc5anxWM7XAV003KjLWsiXHHopy3/AI7uFXQQwBByDyCKkZVdCjAFWGCD3FZejs0du9hISZbNvKyerJ1RvxXH4g14+IjqpG0fepW/lf4P/J/maNFFFc5kFct4p1G4uriHw3pbf6bdj99IP+WMXcn6j/PIrW1/WodC0qS7kG5/uxR93c9BVLwto8mmWk+qaowOpXn7y4dv+WY7J7Y/z0FdlCKpx9vNf4V3f+S/yQ0ruxs6XptvpGmw2Nqu2KJce7HuT7k0rTSXTGO2bbGDh5v6L6n36CkxJf8A3g0dr6dGk+voP1NW1UIoVQAoGAB2rllJ3cpatmwyGGOCMJGuB19yfU+pqSiis276sYVUsflN1F/cnY/99Yb/ANmq3VRP3erSr2miDj6qcH9CtXDWMl/X9WuIsN9/oOBwe9VNP5tmb+9NIf8Ax9qssQpZjgAdx6VW09T/AGdb8DcyBiD78n+dJfA/VfqZvct5WONnfCgZZiT0HrVXQUYaTHM4Ie5Zrhgeo3sWA/AED8Kh1f8AfxQ6ZHw142xsfwxDlz+Xy/VhWuAFAAGAOABWuHjq5HS/dpJd/wAl/m7/AHC0UUD5jhcEjrz0rrMA6nAxn0J7VzHi/wAGrrqQ6hpsxstds/mtbtT177G9VPP0z6ZB6tRtGMk/Wlrow9adCaqQev8AWnoVypqzOO8I+LjrRm0vVIfsWvWfy3Nq3G7H8aeoP9fTBrqq5vxj4OGviLUdOm+xa7Z/Na3a8Zx/A/qp/TPpkGHwj4uOtGbS9Uh+xa9Z/Lc2rcbsfxp6g/19MGu6tRhWg8Rh1ZL4o/y+a/u/lszCUXF2Z1VFFFcAgooooAKQgEEEZB6g0tFAHA+C2PhfxhqvhCU7bWYm+03PTYfvIPpj/wAdY16LXA/EexuIbKy8T6eub/RZhNgfxxH76n2xz9N1dppuoQarpltqFq26C4jWRD7EZ5967scvbQhil9rSX+Jf5qz9bm1J6WLVFFFeaahRRRQAUUUUAFFFFABRRRQAUUUUAFPjPyDknHGT1NMp0f3cc8E9apbjjuPoooqiwooooAKo6xzpU0Q6zbYR/wADIX+tXqoX37y9sLf1lMrD/ZUH/wBmK1pS+NPtr9wmX6KKKzGFUdR+SWyn7R3AU/RwU/mwq9VXUoWuNNuI4/8AWbCyf7w5X9QKum7SVxMtUVHbzLc20U6fckQOPoRmpKlqzsxhRRRSAKKKKACiiigBrruQjAJ6jPr2pgIPQg844qWo3yGz2PA4qWiZLqJRRRUkhRRRQAUUUUAFFFIzKiM7EBVGST2FMDz2Q/238aQOsGh2H4CWT/7Fv/Ha7ooM5HBJycDrxXCfDFWv4Nb8RyAh9Vv3ZM/881JCj8CWH4V3telmK5aqo/yJR+fX8WzkeruRZ5APBPYmszU0a0uI9UiUkRrsuVUZLRdc/VTz9C3rVXxnr0ug6LGbONZdRvriOyskf7pmkOATjsBlj9Klt/C9hHZeXexLqVw6gTXNyoaSRu5yfuj0C4A7V5c6fMrF05ezfNuv0NRHWRFdGDKwyCDkEUkkiRRtJIwVEBZmJwAB1NcD8PdXnh8MK95M0umx3U9vDdOc7FSQqpY/3SMfN2Oc9qn1rWU8W3KaHoN1HdWxOb24tpAygA/c3Dj6/h71y0sO51OR6JbvsiqlPlemqe39d+5JpzDxLrh1+8DDS7NzHYQkcyv3fHc//W9DXXpBJcOJboYAOUhzkL7n1P6D9ai0+wgsYIkXaTGvloFHyxgdh6dOSeTV3f0+U9ec0sTiFOXuaJaLyX9bscbJD6KZvbjgdeeaNzcdOvNco+ZD6KYHPGQPfmlD9Mqf8KB3Q6qd7+7mtbjskmxv91uP57atB1OOeT0B4NMuYRcWssJON6kA+h7GrpySkr7BuV9RYpZXG3AZl2rj1OAP1NTAxQRFnZFihXlifugD9OKoGf7UtmGADO++QDsUHOfo2BSL/wATuQEkf2XCcs3QXLD0/wBgH8z7Dm3BpKHXX/L9B0oKTcnolv8A13J9Kje5ll1SZSrTgLAjDBSIcjI7Fj8x/Adq1aMMcgDn36U8IAcnnnIz2rshDlVkOcnUlcYF39cheQeoNS9BRRWiVgSsFFFFAwrlPGPg4a+ItR06b7Frtn81rdrxnH8D+qn9M+mQerorahXnQmqlN2a/r7hNJqzOO8I+LjrRm0vVIfsWvWfy3Nq3G7H8aeoP9fQg11Vc34x8HDXhFqOnTfYtds/mtbteM4/gf1U/pn0yDD4R8XHWjNpeqQ/Ytes/lubVuN2P409Qf6+mDXbWowrQeIw6sl8Uf5fNf3fy2ZzSi4uzOqooorgEFFFFADJYo54XhlQPHIpV1PQg8EVw/wAPZ5ND1XVvBd05JspDcWLN/HA5z+hI/Fj6V3dcH8QoJdHvNK8ZWaFpdMlEd0q9ZLdjgj8Mn/vrPau/BWq82Ff29v8AEtvv2+Y0+V3PQ6KitriK7tYrmBw8MyCRHHRlIyD+VS15rTTszpCiiikMKKKKACiiigAooooAKKKKACnR9G69e/8ASm06PoevXvTW447j6KKKssKKKKACqEP7/WbmXqsEawr/ALx+Zv02VclkSGJ5ZDtRFLMfQDrVXS43SxV5FxLMTM4PYsc4/AYH4VpHSLfyEXaKKKzGFFFFAFDS/wBytxZn/l3lIX/cb5l/LOPwq/VC4/0bVLe46JOPs8n16ofz3D/gQq/WlTV83f8ApiQUUUVmMKKKKACiiigApGG5SMkZ7ilooAi57gj60U5kzyoG7jJ9qYCCAR0NQ1YzasLRRRSAKKKKACuY+Ieq/wBj+A9VuFbEjw+RH67n+Xj6Ak/hXT1578Qz/a3iHwt4bX5luLz7VOv/AEzjHf6gt+Vd2XU1PEw5tlq/Rav8iJu0WdH4U0v+xfCmmaeV2vDbr5g/2zy3/jxNbFFFYVKjqTc5bt3Oc5zxdotxqkelXlmgludLv47xYSwHmqAVZQTwDhiRnjIHTOay9U8Q6nMsumExaXNc2zSm5uB5f2OINtdvvHzHAZcEYXPJOOvZl8jjgYOT0IrlfEmm6FrIi1PVLWB7fTN0q3koyV6ZCDo3IHXIz05qYpzdogpIxfFE2k6N8Pl8KaZHIftVt9jtYkB8wll6kcfMScke/PXFUvh18O9T+HUVzeXUqX7XYQTQ2wOYQucEZ++fmOcc+mc1q+CtKk1vVH8XX8BjiIMemW7f8s4+cufUnnn3J9K9CrTH0qUEqEfiXxPz7fL8zWjK2sldMoW1zFeQrLbyLKhJGUPT6+h9u1S5HHbJwMiorrSYLiY3ETSW10f+W8B2sf8AeHRvxBqDfq9pxJbxX0Y/jgby5P8Avljg/wDfQ+leLKjKPmb+yhP4H8n/AJ7fl6FwEEZByKWqJ1qyQj7Ss9qw/wCfiBlA/wCBY2/kacmr6Q4Bj1GyIH92df8AGsdhPDVV9l/cXKKptq+kRAF9Sslx0zOv+NMGsWT4FrHPdEdPIgZh/wB9Y2j86FqCw1V/ZZeyMgZGT0qG4u7eyhWWaQRR4wuc8nsAvUn0AGahB1a6GI4IbCP+9KRJJ/3yp2j/AL6P0py2FrpySX0pe6uI1O6ac7nPH3V7Lk44AFbU6E5tIfsoQ+OXyX+e35+h454QfxzqnxQurbXYbxNGdpnuInj2RbOSoQ45+bZkDkj71e6sBb25MULSmNMLHHtBb2GSAP0rOktJLTT7eUAG4gJlcDq5PLgfm2Pwp2r3BXRJ5LaTbLMgjhdf77kKh+mWFelKKi7r0Ic38PQPDviKx8Tac97YCZY0laF1mXaysMZGMn1H50yfxLaReJE0CKC5uL5ofPcRKu2KPIGWYkY6jgZPPSud8Myro/iDxZpFtGoP26CW1j7fvbdOvoB5bE+wNS+Erdbnxn4o1IMZEt3i0yKRupKL5kp/GSU/lQUdtRRRSAKKKKACiiigArlPGPg4a8ItR06b7Frtn81rdrxnH8D+qn9M+mQerorahXnQmqlN2a/r7hNJqzOO8I+LjrRm0vVIfsWvWfy3Nq3G7H8aeoP9fTBrqq5vxj4OGvCLUdOm+xa7Z/Na3a8Zx/A/qp/TPpkGHwj4uOtGbS9Uh+xa9Z/Lc2rcbsfxp6g/19MGu2tRhWg8Rh1ZL4o/y+a/u/lszmlFxdmdVRRRXAIKgvbODULGezuU3wTxtHIvqpGDU9FNNp3QHE/DW9ns4tR8JX75vNHlKxk9ZIGOVYfn+RWu9rznxqG8NeJ9J8ZQKRCjCz1EKOsTdGP0P6ha9FR1dFdGDKwyCDkEV2ZhFTccTHae/wDiXxf5/M2pO6t2FooorzjUKKKKACiiigAooooAKKKKACnx/c79T1+tM7VIgwijnp361SHHcWiiiqLCiiigChqf78wWA/5eHzJ/1zXlvz4X/gVX6z7D/Srme/PKv+6h/wBxT1/E5P0ArQrSelo9vz/rQSCiiisxhRRRQBBeWwu7SSAsVLD5WHVWHIP4HBpthcm6tFdwFlGUlX+644I/P9Ks1nyf6DqYl6QXZCP/ALMnRT+I4+oWtI+9Fx+aEaFFFFZjCiiigAooooAKKKKACmOpzuHJ4GM0+ihoTVyEEEZBBHtS051P3l646djTcjJGRkcH2qGrENWCiiikAV53pR/tv4v61qB+aDSbVLKI+jty35HePxrvry6jsbK4u5jiKCNpXPoqjJ/lXC/C23kHhWbV7kH7Rql3LdyHGTgnA/kT+NejhP3eHq1fJRXz1f4J/eY1XsjuCcAnGcelQzSpHG0kzKsa85PGKZc3MduoeTkk4jVRlmPoB3NQx20k8iz3gGVOY4QcqnufVvft29a4bX1exg2M2SahzKrRWnaM8NJ/veg9vz9K47VS3jnxOvh+1JGiaawfUJE4ErjpGPy/n6CtXxrr9xYwQaNpPz61qR8uBV6xr3c+mOcH6ntWz4Z8P2/hrRIdPg+Zx800uOZJD1Y/56AV3U5fVqXt38T+Fdu8v0Xn6DjHmZrRxpDEkUaKkaAKqqMAAdAKdRRXlm4UUUUAFRvBDIcvEjH1ZQakooGm1sRpBFGcpEin/ZUCpKKAC/Q8cjcD0NAXbAfMcDBwcHnpxVWcfab+G0HMcOJpT6n+AfmCf+Aj1q1cTpa27zP91BnA6n0A9z0qKwgeGAvNj7RM3mS47E9voBgfhW0FypyKSJ5OFzkADqTXO3WkPd3cVmdTvbSKCQXECW4i2uAc4bejE7T24/h9K6U9KoXcDTRLJCVNxC25D2JHBX6Hkf8A6qlPWz6ky3uVf7BtF1i91aFpYb+7gjgeZCCVVCxGAwIz83cHoKj8OeH4vDVtcW8F5d3Uc87Tt9oEe4SOxLnKquck9+mOK07edLmBZUzhux6g9wfcGpah3TsFyWiolOz0C88Ad6lqk7lp3CiiigYUUUUAFFFFABXKeMfBw14Rajp032LXbP5rW7XjOP4H9VP6Z9Mg9XRW1CvOhNVKbs1/X3CaTVmcd4R8XHWjNpeqQ/Ytes/lubVuN2P409Qf6+mDXVVzfjHwcNeEWo6dN9i12z+a1u14zj+B/VT+mfTIMPhHxcdaM2l6pD9i16z+W5tW43Y/jT1B/r6YNdtajCtB4jDqyXxR/l81/d/LZnNKLi7M6qiiiuARR1jS4Na0e7025GYrmMxk+noR7g4P4Vz3w01WebRJ9D1A/wDEx0WU2soPdBnY30wCP+A+9dfXn/iM/wDCJfEDTfEy/LYajix1D0B/gc/kPwX3r0MJ++pzwz3esf8AEunzV162HF8ruej0UUV5Z1BRRRQAUUUUAFFFFABRRRQAhGRjBOeODipqjUZccHjvnipKqJUQoooqigqjqUjssdlCxWa5JXcOqIPvN+XA9yKuSSJFE0kjBUQFmY9ABVLT43leS/mUrJMAEUjlIx0H1PU/XHatIae++n5iZdjjSKJI41CogCqo7AU6iisxhRRRQAUUUUAFRXEEd1byQSjKOMHHX8PepaKabTugKWn3EjB7a5ObmDAc9N47OPr/ADBFXap31vIxS6tgPtMOdoJwJF7ofr29CBU1tcx3dus0RO1uxGCp7gjsQeKuauuZCJqKKKzGFFFFABRRRQAUUUUAFIyhsZzx70tFAERyo+b0yT2FFct4t1PU7bX/AA3pel3xgl1O6dJVMSOBBGheRhkcN90Dtz0q41tqqapYyWusyXVqZ2ivI5YIyAojcggoFwQ4UfjipsQ49jI+KeovY+BbqCHPn3zpaRAdyx5H/fIatOxjTRtKsdKt1EstvAkSIrcEBQCzegz3ryX4h+MtVufjBpPhsWA+yWN9A0S7SXmZwp39cEDJwPY59vaba2itlZUJZyfndjlmPvXZOtBYWFJb3bfrol+C/E5ayalqNt7Ty3M8z+bcMMF8cKPRR2H86h1rV7XQtJuNRvGxFCucDqx7KPcmr/QZNefxqfiF4s3n5vDmkScf3bqf+oH8v96ow1JVZOdX4I6v9EvN7Iy30RoeB9GuriefxXrKf8TLUB+5jP8Ay7w9lHpkY/D3JrtqKKwxFeVeo5vTsuy6Jeh0RVlYKKKKwGFFFAOcY5ycZFABSZ645IGcDrTlQnBbA45H/wBenqoUADsMU7DUWNCZ+8e+Rjin0VSvJ5HkWytmxPIMs4/5ZJ/e+vYe/wBK0jG7si9hn/H/AH+ettbN+Dy/4L/P6VoVHDDHbwpDEu1EGAKkpylfbYAqNuH5JOeRx0qSmuDtyM8c4HeoYmtDOk/0C6M4/wCPaYgS/wCw/QN9D0P4H1q9SOiyIyOoZWGCD0IqlbO1pMLOZiVP+okJ+8P7p9x+o/Gn8S80QXqVG28Hp6k96SisxrQlopqNuXnkjg8Y5p1WWFFFFAwooooAKKKKACuU8Y+Dhrwi1HTpvsWu2fzWt2vGcfwP6qf0z6ZB6uitqFedCaqU3Zr+vuE0mrM47wj4uOtGbS9Uh+xa9Z/Lc2rcbsfxp6g/19MGuqrm/GPg4a8ItR06b7Frtn81rdrxnH8D+qn9M+mQYfCPi460ZtL1SH7Fr1n8tzatxux/GnqD/X0wa7a1GFaDxGHVkvij/L5r+7+WzOaUXF2Z1VZPiXRIvEXh290uXA8+MhGP8DjlT+BArWorjpzlTmpxdmtRHMfDrXJdY8MJb3mV1HTnNndI33tycAn6j9Qa66vOLw/8Ih8ULbUB8mmeIALe4/upcD7rfjx+bGvR66MfTiqiqwXuzV15d18nf5WN6croKKKK4DQKKKKACiiigAoopMBjsO056g9xQBJGuAcjBJyec06iitDRBRRVG9uJDItlan/SJBlnxkRJ/ePv6DufYGqjFydkAyb/AImV59nHNrAwMx7O45CfQcE/gPWtGore3jtbdIYhhFHc5J9ST3JqWnOSei2QBRRRUAFFFFABRRRQAUUUUAFZ9xG9lcNe26F43/4+IVHJ/wBtR6juO49xWhRVRlysBkUqTRLLE4dHGVYHIIp9Z0kUunStcWyGS2c7poFHKnuyD+Y79Rz1vQzR3EKyxOHjYZVlPBpyjbVbCH0UUVAwooooAKKKKACiiigDzf7XpPin4vSIdQhlg0rTBFCsV3sLzzOWbYVYE4RADj15rudH0qHRdLjsLcs0cbOwLMSSWYsckkk8sepq/Wb4g1JdH0C+1BulvA8vXGSoyB+JwPxqoxcpKMd2JuyucP4TxrfxE8UeIGXKQOun27EZwF+/j8VU/jXekBuoB781yPwy05tP8C2Ty58+8LXchP8AEXPB/wC+QtanivxJb+F9Cm1CYb5fuQQ95ZD0X+p9hXfjIOti3RpK9rRXy0/S5wXvqzn/ABvqt1e31v4P0N/+Jlf83MoORbwfxE+mR+n1Fdho2i22haTb6dZgLDCMZI5b1J9yeawPAXhm40q0n1fVz5muamfNuXbrGDyIx6Y7/l2FdjWONnCKWGpaxju/5pdX6LZeWvU2p07K7I9je3X9KNje3X17VJRXn2Rpyoj2NxyOvp2pRH0yx60+iiyDlQ0IoxxnByM84p1FFMYUUVWurwQFYo0824k+5ED+pPYD1qknJ2QBd3RgCxxL5lxJxHHnr7n0A7mltLUW0bbm8yaQ7pZCOWP9B2A7UlpaGAtLK/mXMn35MfoB2A9Ks1UmkuWIBRRRWYwooooAiK7WOBx1znPNRXFvHcwmKQHB5BBwVPYg9jVh13L2yOhIzg0zPJHocVOqd0ZtFS2uJFk+y3RHngZVhwJV9R7+oq3UNzbJcx7HyCDuV1OCp9QahguXSUW13hZv4HHCyj1HofUVTXNqhFwEhgeSOmB/OpaiIyCOefQ1IpyucYpRKixaKKKZYUUUUAFFFFABRRRQAVynjHwcNeEWo6dN9i12z+a1u14zj+B/VT+mfTIPV0VtQrzoTVSm7Nf19wmk1ZnHeEfFx1ozaXqkP2LXrP5bm1bjdj+NPUH+vpg11Vc34x8HDXhFqOnTfYtds/mtbteM4/gf1U/pn0yDD4R8XHWjNpeqQ/Ytes/lubVuN2P409Qf6+mDXbWowrQeIw6sl8Uf5fNf3fy2ZzSi4uzLfjPQB4k8L3dgo/0gDzbdum2VeV57Z6fQmneBfEJ8SeFLW7lP+lxZgulPUSrwc/Xg/jW7XAWh/wCEQ+KUlufk0vxEvmR+iXK9R+OfzYelFD9/h5UOsfej/wC3L7tfkODtI9GooorzDpCiiigAooooAKfGPlz68jjGKaF3HuAOc+tSVSRUV1Ciiql3eGJ1t7dBLdOMqmeFH95j2H8+1XGLk7IoLy7aArDAgkupf9Wh6D1ZvRR/9anWdoLWNsuZJpDullI5dv6DsB2FJZ2Ytgzu5luJOZJSOW9h6AdhVqrlJJcsf+HEFFFFZjCiiigAooooAKKKKACiiigAooooAKoS2kttM1zYYyxzLAThZPcf3W9+h7+ov0VUZOIFe1vIrtWMZIdDh43GGQ+hFWKq3VjHcssqs0Nwgwk0f3h7H1HsahW/ktCE1FVQdBcJ/q2+v9w/Xj3quRS1h939biNCigEEAg5BorMYUUUUAFFFFABXn3xZuJH8O22jQcXGrXkVquDyVzuJ/PA/GvQa831X/idfGHSrLAMOj2j3cqjoJH4H80Nd2XJKuqj2gnL7lp+NjKs7RO0jW303T1TcsVtbRAZY4CIo7/QCuD8PQSePvFZ8T3iMNF05zHpcLjiRweZSPqPzwP4TT/Ft3ceLNfj8E6VKyQjEuq3Kf8s4xzsz6nj8x716BY2VvptjBZWkSxW8CBI0XoAK0cnhKPM/4k190X19Zfl6mFON3csUUUV5J0BRRRQAUUUUAFFRXFzDax75pAgzgepPoB1J9hVQrdX/AN7fa2x7A4lf8f4R+v0q4wb1eiEPmvHeVrayVZJhw7n7kX19T7D9KltbRLYM24yTPzJK33mP9B7dqlhhjt4liiRUReiqKfQ5aWjsAUUUVAwooooAKKKKACmOp+8MkjsO9PooE1ciqOeCO5iMcq7lPPoQfUHsalZdvKjjkkAdTSVOqZm0UFuJbEiO7bfD0W4x09n9Pr0+laEfVsAYPOc9f88U0gMCCAQeCDVIW01k4ezUSRDrbscYH+we30PH0q1aT7MFozToqC2vIboN5ZIdfvxuMMv1FT0NNOzNAooopDCiiigAooooAKKKKACuU8Y+Dhrwi1HTpvsWu2fzWt2vGcfwP6qf0z6ZB6uitqFedCaqU3Zr+vuE0mrM47wj4uOtGbS9Uh+xa9Z/Lc2rcbsfxp6g/wBfTBp3j/QpNc8Ly/ZcjULNhdWjL94OnOB9RkfXFSeMfBw14Rajp032LXbP5rW7XjOP4H9VP6Z9Mgw+EfFx1ozaXqkP2LXrP5bm1bjdj+NPUH+vpg16StdYzCq3Lq49v84v8Nmc0ouOjNfwnr0fiXwzZaomA8qYlUfwyDhh+f6Yrarznw8f+ES+I2oeH2+TTtXBvbH0WT+NB+R/BV9a9Grjx1GNKreHwy1Xo/8ALb5G8JcyCiiiuMsKOSdo4OM5IyKTvgY3YyATipVUKMDP4mmlcaVwChRgAAe1LUNzdQWkXmTyBATgDqWPoB1J9hVTZdaj/rd9ran/AJZg4kkHuR90ew59x0raMLq70RQ6W8kuJWtrAKzqcSTsMpF7f7Te351YtbSO0RgmWdzukkc5Zz6k/wCcVJFFHBEsUSKkajCqowBT6JS05Y7AFFFFQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkIDAggEHgg0tFAGedOe2JbTphB3MLjdEfoOq/hx7GlGpeQdt/C1sf+emd0R/4F2/4Fir9Fac9/iV/wAxWEV1dQyMGU8gg5BpaotpVuGL2xktZDyWgbaCfdfun8RSY1SDobe7X3zE/wDUH9KOWL+F/f8A1YC/RVD+0xHxc2d3B7+XvH5pn9aki1SwmO2O8gLf3d4BH4daTpzWtguWmztOACcdD0NeI2Pif7C3iTxFap5+pavf/YdKhAyWCDAbHoAy/iAK9F+IPimx8L+Eb25ubqOKeaJ4rVWPLyEYGB3xnJrhfg94TeW0t/Emo/OqIyabGeiqSS0n4kkD8favVy/2NPDVa1V9lbq+tvRtK/kmYVk5SSR3PgnwsPDGjFZ387U7tvOvZycl5DzjPcDJ/U966aiivIrVp1qjqTerLSSVkFFNeRIl3SOqD1Y4qodWsckJcCVh/DCDIfyXNQoSlsgLtFUftlzL/wAe9hJ/vTsIx/Vv0o+zXs/+vvBGv9y3XH5scn8sVXJbd2C5YuLuC1UGeVUz90E8t9B1P4VWM97dcW8P2eM/8tZx834J/jj6VPb2VtbMWiiAc9ZGJZj9WPJqxReK2V/X/ICrb2EUEnmsWmnIwZZTlvw7AewxVqiipcnJ3YBRRRUjCiiigAooooAKKKKACiiigAqNkxyuAOSRjrUlFDQmrkVIRnHAPI4NSMgPIwCcZOOtRt0KlRk5AVj1qGrENWG3NlDdFWcFZV+7Kh2uv0P9OlQebeWnE8f2mIf8tYl+cfVe/wCH5VforZTdrPVF2Ire5guk3wSq4HBweQfQjtUtVriwt7h/MZSkw4EsZKuPxH8jxUW3ULb7rR3aDs/ySfmOD+Qp8sX8L+/+v8gL1FUhqlupC3Ie1b0nXaP++vun8DVxWDKGUgg9CDUuLjugFoooqRhRRRQAUUUUAFcp4x8HDXhFqOnTfYtds/mtbteM4/gf1U/pn0yD1dFbUK86E1UpuzX9fcJpNWZ47rOsXHiXQmMsH2Hxh4ckF0bcjlguNxT1UgA49h2IJ9R0HV4Nf0Kz1S3/ANXcxh8ZztPQr+ByPwrE8ZeDV8QJFqGnyiz1y05trpeN3+w/qp/TPoSDwHw08YQeGNWv/CfiORNOmaffbxy5Co7HBTPQA8Ec4PPPNexXVDE4F1KTs4O/L2T3S7q+q7ar1xgnGVu57XR1OFwSMZGegqkdUtS5SJ2uGGQUgUuwPvjgfiRTgdSuAAiR2cfq58yT8h8o/M14ypS3enqbpXLcksVrCZJpVRB1ZyAKqfa7q84sofLjP/LxOpA/4CvU/jgfWpIdNgjlE0m+4nHSWY7iPoOi/gBVyrvCO2v9f1/kWVLfT4oJPOdmnuCMGaXk/QdlHsKt0UVEpOTuxhRRRSAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArG1TXdGs9Qg03UCxupwTDD9kkkMuBltuFO7A646d62a4uH/ia/F+5k+9DoelrEAf4ZrhtxI/4BGv50J22AxfGfgTw38R0gtLS9Gm6hYkyFFtyj7GIBLRNtOPl4b1rrND8KafoOiWel20l0YrWIRhzcyKW9SQCAMnJ4rJ8Ts83xM8H21oge4jS8muT2W3MYXDexcrj3FdnQ5yve5Eil/Zdv/wA9Lv8A8DJf/iqP7Jsz95ZX/wB+Z2/mau0Ue0n3ZNkVE0uwjbcllbhv73ljP51aAAGAAAOwpaKlyct2AUUUVIwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkYblI2hsjGD0NLSEbhjAbPGD0NAhxQqPl5AHA7n8TSdyO4qWkKhhggEdeaqxbj2I6KcY+uDjJzzzTdrA/dzz2PalZk2YhAYEEAg9QaqNpdpuLRRmBj/FAxjz9QOD+NW9w4zxk4GeMn/Ipaak47MRS+y3sf+qv949J4g36rto8zUk+9b20o9UlKn8iP61doquful/XoFil9uuF/1mm3I91ZGH/oWf0o/tJR961vF/7YE/yzV2ijmj2Apf2nD/zwvP8AwFk/wo/tJD922vD/ANsGH86u5GQM9elAO7GMnPei8O34gUvt0zfc066Pudij9WoM2oMCVtYIh6yznj8Av9avKrHBIwMcjvTlQLjkkgYye9O6/l/P/MfKzP8As+oy5D3iR8ZHkxY/Vt38q4LxR8FNL8U+K4dcudVvE+4LmEgN523gYbjbwAOh/CvT6KHJspRscx4m12bTLnS9A0aOIatqjskBZcx28SDMkrAdcDoOMkipbrQri10e4ltNS1KbVUhZ4p5bl2DygcZiz5eCeNoUD0weaoa3Yy2HxD0rxM0Es9itjLYTmKMyNAWZXV9oydpwVJA4yM8ZI3hqJ1Bo000uU3qZLgxkIqg5IGR8xOMcdMknoAUUS6NBdWuiWMF9M894kCCeVzkvJtG4/ic1eoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGyBzG4jZVkIO1mXcAexIyMj8RXK6P4Z1rSLzV7xdZsJrjU7r7RI76c/wAoCqioMTdAF4+tdZRQBk6VoUWn3V1fTTPd6jdhVnuZQASq52oqjhUGTgD1JJJ5rQUYUDAGOw6CpqiOA5Hy+uB/n1zUyJkFFFFSSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABQBllGARnJz/n1xRSpguT8pxx7j/PFNAtySiiirNAooooAKbsXj5Rwc9O9OooAb5a8deDnqaTyxxyeDnrT6KVkKyGeWOOTwc9aURqMcHg5606iiyCyECqBgKBzngUtFFMYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUyTgA5AGec0+ihiepFRSDjjJJHGSMZpazICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBCQASTgDqTUiAheSCfYUwcsBkjv0qWqiVEKKKKooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAY453AE9sU2petREBDt4A/hA9KloiS6hRRRUiCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKFAc5+Ur/UGmA9BhcnIJ5IPb2p1FFWaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUjDcpGSMjqO1LRQBEcgkEY9PeipGUMPQ44PpUZ+U4PAzgE96hqxDVgooopCCiiigAooooAKKKKACiiigAooooAKKKKACiihQX6ZA4IYY5/z/WmAAFuBkD+8MVLSAADAGKWqSsWlYKKKKYwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACggHqKKKAIipUZ5IAJJ7/kKKlprIGyehPcdalolx7DKKUqwzxkZ4x6UgOen0pEhRRRSAKKKKACiiigAooo747nnFABQTj1/AUBGYc/LkfiD/KpAqgkgAE9TTSGkNCHOTxg9B3p+MDAooqkikrBRRRTGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUhUHGQDjkZ7UUUAN8scYJHOeuc1AJD8nT5nZT9Bn/AAooqGZy3JaKKKQBUaOWMecfMzA/hmiigROIwMZJJHcmlACgAAADgAdqKKtbGi2FooopjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/2Q==) +![md5:affdc2843242a1138fa169a7db32c940](affdc2843242a1138fa169a7db32c940.jpeg) Thus \(M\) is the Miquel point of complete quadrilateral \(F A C E\) . As \(R = \overline{{F E}}\cap \overline{{A C}}\) we deduce \(F A R M\) is a cyclic quadrilateral (among many others, but we'll only need one). diff --git a/IMO/md/en-IMO-2006-notes.md b/IMO/md/en-IMO-2006-notes.md index eb899038604d70bfc04750b6468e3a62cb210c71..97bba764ec3317b6073a02376eeae5d3a8639826 100644 --- a/IMO/md/en-IMO-2006-notes.md +++ b/IMO/md/en-IMO-2006-notes.md @@ -251,7 +251,7 @@ The main work is the proof of the lemma. Label the polygon \(P_{0}P_{1}\ldots P_{N - 1}\) . Consider the \(N / 2\) major diagonals of the almost convex \(N\) - gon, \(P_{0}P_{N / 2}\) , \(P_{1}P_{N / 2 + 1}\) , et cetera. A butterfly refers to a self- intersecting quadrilateral \(P_{i}P_{i + 1}P_{i + 1 + N / 2}P_{i + N / 2}\) . An example of a butterfly is shown below for \(N = 8\) . -![](data:image/jpeg;base64,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) +![md5:5b22fe487a47945ff098859adfe9cb84](5b22fe487a47945ff098859adfe9cb84.jpeg) Claim — Every point \(X\) in the polygon is contained in the wingspan of some butterfly. diff --git a/IMO/md/en-IMO-2007-notes.md b/IMO/md/en-IMO-2007-notes.md index 38afbf84a7fe70e9c443aa5d7aefbff55af9735b..8d1f1d33237f200cf13296e4a8231b76e95f7c9b 100644 --- a/IMO/md/en-IMO-2007-notes.md +++ b/IMO/md/en-IMO-2007-notes.md @@ -113,7 +113,7 @@ Let \(M\) , \(N\) , \(P\) denote the midpoints of \(\overline{CF}\) , \(\overlin By a homothety at \(C\) with ratio \(\frac{1}{2}\) , we find \(\overline{MNP}\) is the image of line \(\ell \equiv \overline{AGF}\) . -![](data:image/jpeg;base64,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) +![md5:90c7d9d8c9946257ff4ef5d4b6869e25](90c7d9d8c9946257ff4ef5d4b6869e25.jpeg) However, since we also have \(\overline{EM} \perp \overline{CF}\) and \(\overline{EN} \perp \overline{CG}\) (from \(EF = EG = EC\) ) we conclude \(\overline{PMN}\) is the Simson line of \(E\) with respect to \(\triangle BCD\) , which implies \(\overline{EP} \perp \overline{BD}\) . In other words, \(\overline{EP}\) is the perpendicular bisector of \(\overline{BD}\) , so \(E\) is the midpoint of arc \(\overline{BCD}\) . @@ -150,7 +150,7 @@ So let's consider the situation At this point \(A\) is a set of \(k\) red vertices, while \(B\) has the remaining \(2r - k\) red vertices (and all the green ones). An example is shown below with \(k = 4\) and \(2r = 6\) . -![](data:image/jpeg;base64,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) +![md5:2db1e2dc19e9106a597d07c1bac38fbe](2db1e2dc19e9106a597d07c1bac38fbe.jpeg) Now, if we can move any red vertex from \(B\) back to \(A\) without changing the clique number of \(B\) , we do so, and win. @@ -203,7 +203,7 @@ Thus \(OP = OQ\) . Since \(OC = OR\) as well, we get the conclusion. Denote by \(X\) and \(Y\) the feet from \(R\) to \(\overline{CA}\) and \(\overline{CB}\) , so \(\triangle CXR \cong \triangle CYR\) . Then, let \(t = \frac{CQ}{CR} = 1 - \frac{CP}{CR}\) . -![](data:image/jpeg;base64,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) +![md5:c8ecb3a013860bc61b684a189d96cfdc](c8ecb3a013860bc61b684a189d96cfdc.jpeg) Then it follows that diff --git a/IMO/md/en-IMO-2008-notes.md b/IMO/md/en-IMO-2008-notes.md index 0970fe8b0c8a4a3a3d7a2e81a30af85a64ca29d8..daf6f4a96456eb7c2ed54849501e735150a24ab7 100644 --- a/IMO/md/en-IMO-2008-notes.md +++ b/IMO/md/en-IMO-2008-notes.md @@ -73,7 +73,7 @@ We show two solutions. We first show that \(B_{1}\) , \(B_{2}\) , \(C_{1}\) , \(C_{2}\) are concyclic. It suffices to prove that \(A\) lies on the radical axis of the circles \(\Gamma_{B}\) and \(\Gamma_{C}\) . -![](data:image/jpeg;base64,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) +![md5:e3cd66dc2339653743ee86db54660c9c](e3cd66dc2339653743ee86db54660c9c.jpeg) Let \(X\) be the second intersection of \(\Gamma_{B}\) and \(\Gamma_{C}\) . Clearly \(\overline{XH}\) is perpendicular to the line joining the centers of the circles, namely \(\overline{EF}\) . But \(\overline{EF} \parallel \overline{BC}\) , so \(\overline{XH} \perp \overline{BC}\) . Since \(\overline{AH} \perp \overline{BC}\) as well, we find that \(A\) , \(X\) , \(H\) are collinear, as needed. @@ -240,7 +240,7 @@ Let \(\overline{{P Q}}\) and \(\overline{{S T}}\) be diameters of \(\omega_{1}\) Now orient \(A C\) horizontally and let \(K\) be the "uppermost" point of \(\omega\) , as shown. -![](data:image/jpeg;base64,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) +![md5:86d61fcb9b2ddfb60dc8bf75f0e81517](86d61fcb9b2ddfb60dc8bf75f0e81517.jpeg) Consequently, a homothety at \(B\) maps \(Q\) , \(T\) , \(K\) to each other (since \(T\) is the uppermost of the excircle, \(Q\) of the incircle). Similarly, a homothety at \(D\) maps \(P\) , \(S\) , \(K\) to each other. As \(\overline{{P Q}}\) and \(\overline{{S T}}\) are parallel diameters it then follows \(K\) is the exsimilicenter of \(\omega_{1}\) and \(\omega_{2}\) . diff --git a/IMO/md/en-IMO-2009-notes.md b/IMO/md/en-IMO-2009-notes.md index 9237a285a4c5e6534d636cc03056f591ef73fee7..7920e6eccdd1410faaf13039ef40e9c25457643c 100644 --- a/IMO/md/en-IMO-2009-notes.md +++ b/IMO/md/en-IMO-2009-notes.md @@ -101,7 +101,7 @@ Let \(ABC\) be a triangle with circumcenter \(O\) . The points \(P\) and \(Q\) a By power of a point, we have \(- AQ \cdot QB = OQ^2 - R^2\) and \(- AP \cdot PC = OP^2 - R^2\) . Therefore, it suffices to show \(AQ \cdot QB = AP \cdot PC\) . -![](data:image/jpeg;base64,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) +![md5:4a226537cbada02b5d8d3407bff8744a](4a226537cbada02b5d8d3407bff8744a.jpeg) As \(\overline{ML} \parallel \overline{AC}\) and \(\overline{MK} \parallel \overline{AB}\) we have that @@ -192,7 +192,7 @@ Let \(I\) be the incenter of \(A B C\) , and set \(\angle D A C = 2x\) (so that Having chased all the angles we want, we need a relationship. We can find it by considering the side ratio \(\frac{I K}{K C}\) . Using the angle bisector theorem, we can express this in terms of triangle \(I D C\) ; however we can also express it in terms of triangle \(I E C\) . -![](data:image/jpeg;base64,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) +![md5:f11ee7dcccaac044ea1a7c8ced1148ee](f11ee7dcccaac044ea1a7c8ced1148ee.jpeg) By the law of sines, we obtain diff --git a/IMO/md/en-IMO-2010-notes.md b/IMO/md/en-IMO-2010-notes.md index b188741cd6a9491950731245cb32627b01ef9dd5..9b002a318e58038967e211ab60d0a14d86a191db 100644 --- a/IMO/md/en-IMO-2010-notes.md +++ b/IMO/md/en-IMO-2010-notes.md @@ -130,7 +130,7 @@ Let \(I_{A}\) be the \(A\) - excenter, and set \(Q = \overline{{I_{A}F}}\cap \ov where \(\infty\) is the point at infinity along \(\overline{{I P Q}}\) . Thus \(P\) is the midpoint of \(\overline{{I Q}}\) . Since \(D\) is the midpoint of \(\overline{{I I_{A}}}\) by "Fact 5", it follows that \(\overline{{D P}}\) bisects \(\overline{{I F}}\) . -![](data:image/jpeg;base64,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) +![md5:9f76ed924107fad9b25832aa7b0ae029](9f76ed924107fad9b25832aa7b0ae029.jpeg) @@ -187,7 +187,7 @@ We present two solutions using harmonic bundles. \(\P\) First solution (Evan Chen). Let \(N\) be the antipode of \(M\) , and let \(NP\) meet \(\Gamma\) again at \(D\) . Focus only on \(CDMN\) for now (ignoring the condition). Then \(C\) and \(D\) are feet of altitudes in \(\triangle MNP\) ; it is well- known that the circumcircle of \(\triangle CDP\) is orthogonal to \(\Gamma\) (passing through the orthocenter of \(\triangle MPN\) ). -![](data:image/jpeg;base64,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) +![md5:d8b8d139e13e976dd097e9b2fac4bb14](d8b8d139e13e976dd097e9b2fac4bb14.jpeg) Now, we are given that point \(S\) is such that \(\overline{SC}\) is tangent to \(\Gamma\) , and \(SC = SP\) . It follows that \(S\) is the circumcenter of \(\triangle CDP\) , and hence \(\overline{SC}\) and \(\overline{SD}\) are tangents to \(\Gamma\) . diff --git a/IMO/md/en-IMO-2011-notes.md b/IMO/md/en-IMO-2011-notes.md index 6a300ea68a1ecd468929b6619d1aca4987d2a78b..afbd56a3feae33bdcf26ea392129cf1b722f9aee 100644 --- a/IMO/md/en-IMO-2011-notes.md +++ b/IMO/md/en-IMO-2011-notes.md @@ -253,7 +253,7 @@ Let \(A B C\) be an acute triangle with circumcircle \(\Gamma\) . Let \(\ell\) b This is a hard problem with many beautiful solutions. The following solution is not very beautiful but not too hard to find during an olympiad, as the only major insight it requires is the construction of \(A_{2}\) , \(B_{2}\) , and \(C_{2}\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIWApIDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACigkAZJwKw7jxj4ft52txqcVxcL1gs1a5kH1SMM36UAblFc8PEWo3X/IO8M6lIvaW7aO2T8mYuP++KXHi+676JpwPtLeEf8AooUAdBRXPf2FrM//AB9+K75R3WztoIlP/fSO35Gl/wCEPspP+PrUNauT/t6pOgP/AAFGUfpQB0FQy3VvB/rriKP/AH3A/nWL/wAIP4ZYYl0e3uP+vnM3/oZNTReDvDEH+p8N6RH/ALljEP8A2WgC02u6Qn3tVsV+twg/rTV8Q6I33dY08/S5T/GnLoGjJ93SbBfpbIP6U5tF0pvvaZZH6wL/AIUAPj1XTpjiO/tXPosyn+tWlZXGVYEeoNZcnhnQJhiXQ9NcejWkZ/pVVvA/hRjuHhvSUb+9HaIh/MAGgDforn/+EK0Nf9TFeW3/AF66hcQ/+gOKP+EXli/48/EeuW3pm4Scf+RkegDoKK57+zvFNv8A8e+v2Vyo/hvdP+Y/8CjdQP8Avk0HUPFFr/x8aDaXij+KxvsOf+ASqoH/AH2aAOhornv+ExsoDjUrHVNMPdrqzYoPrJHuQf8AfVaun6vpurxebpuoWt5GOrW8yyAfkaALlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZXiLX7bw1pEuqXkNxJaxEeYYApK5IAOCQTyQOMnmgDVorCufFEGnm3bVLG90+G4lWFJ51Rk3scKGKM23J4ycD3rdoAKKKKACiis3VNf0zRjGl7dBZ5f8AVW8amSaX/djUFm/AUAaVRzTxW0LzTypFEgyzuwVVHqSelYP2rxJq3/HpaRaPan/lte4lnI9olO1fYsxPqtPg8I6aZkudTafV7pTuWXUGEgQ+qRgCND7qoNADD4vtbs7dEs7zWG7SWiAQf9/nKof+Akn2pfI8Vaj/AK67sdIiP8FqhuZv++3AQH22N9a6EAAYHAooA54eDNKnw2qNdau/f+0Z2lQ/9suIx+City3trezgWG2gigiXokSBVH4CpaKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArK1DwzomqTefeaXbSXA6XAQLKv0cYYfga1aKAOdPh3UbIZ0fxFewgdIL8C8i/EsRJ/5Eo/tbX9OONS0MXcQ63Gly7z9TE+1h9FLmuiooAy9N8R6Rq0zQWl6hulGXtZQYpk+sbgMPxFalUtS0fTdYhEWo2MF0inK+agJQ+qnqp9xzWV/YWraYd2i6zK8Q/5c9TJnTHosn+sX6kuPagDoqK51fFQsm8vxDYS6S2cfaGbzLVvpMBhf+BhD7V0COkkavGyujDKspyCPUUAOooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAriviBv1C48N+H4Su/UNTSWRXGVMUAMrZ9sqg/Gu1rn7zwqLzxHBrjazqUdzbxSQwIggMcSuQWwGjJydo5JJ4oAw/FPmXHibw5pWvMkum3d0XhitQVLTxrvXzc5JTjPGOQM5FdVbazHca7d6QbeeKe2gjnLPt2ujs6grgk9Y26gdqgtvDVrHrKavd3FzqF/Ehjgmuiv7hW+8EVFVQT3OMnpnFZstw+l+M9S1nUbZrTSjp8Fv9smliCBkkmY8b92CJFxxkk9KAOrrN1XXtP0cxx3Uxa5l/wBTawoZJpf91FyT9eg7kV5D8VrXxz4qFnqfhi11ODSbRGbYJfIlkYc+aI9wbGAAoI3deOea/gjx7q2jaTZ6pqfhQ3On3gH2rXbN3uJWxwTL95sgjG0kAduMUAeqeV4j1zBmk/sGxP8AyyiKy3bj/aflI/ou8/7QrT0vQtN0YSGytVSWXmWdyXllPq8jEs34ms2w8c6BrOnNeaLerqhUAm3tMGcAnqY2IYflVmz8UadeXcdp5WoW9xIcKl1p80QJ68MyBT+BoA2qKQsFGWIA6c0tABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACMoZSrAEEYIPeuek8KpZyNP4eu30iYkkwxrvtZD/tQkgD6oVJ9a6KigDm18TT6UyxeJrMWIPAv4WMlo31bGYv8AgYA7BjXRI6yIrowZGGVZTkEeopWUMpVgCpGCD3rnX8NTaW7T+GblLEklmsJQWtJD7KOYj7px3KtQB0dFYen+JIp7xNO1O3fTNUbO23nYFZsdTFIOJB7DDDuorcoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACimSyxwQvNNIkcSKWd3YBVA6kk9BXNfbdR8VEppkkun6KfvX+Ns1yP+mIP3V/6aHk/wjo1AFzUvEPl3raZpNt/aOqADfErbYrcHoZpMHZ7DBY9hjmm2Phzddx6lrdwNS1JDujLJthtj/wBMo8naf9o5Y+uOK09N0yy0iyW0sLdIIVJO1erMerMTyzHuTknvVugArzC6/wCLYeNjfr8nhPXpwLlR92xuz0f2R+/p+AFen1R1jSLLXtHutL1CES2lzGY5FPp6j0IOCD2IoAw9e+HPhbxFL9putMjhvc7lvLQmGYN67lxk/XNYv/CO+P8Aw1zoPiOLXLNellra/vQPQTLyT/vYFO8A6ve6RqNx4D1+YvqGnpvsLl+Ptlp0Uj/aXoR7d8E16FQB5tc/ETTRD/ZnxA8L3WkJIQGN5ALqzc9sSKCDz7cetdJoOkeFZjFqfh5oDGpyrWF2wi6dCiNtP0IropYo5omilRZI2GGRxkEehFcVqPwp8O3F0b7SPtWgah2udJmMP5oPlI9sDNAHX38Fzc2jR2l41nMSCsyxq+OemGGDms+ytvEcF3GLvU9Ou7TJ37bJ4pen97zCp5x/CK5T/i5nhj/nw8W2K/S0u8f+gH+Zq3p3xW8Oz3QsdY+1aBqB62+rQmHPuHPyke+RmgDsL+5ntLRpraxmvZARiCF0ViO+C7Kv5mqFl4g+1XaWs+karZSvnHn225Bxnl0LKPxNasUsc8SyxSLJG4yrocgj1Bp9AEF3eWthD515cw28WQu+aQIuT0GTUkU0U8YkhkSRD0ZGBB/EUSxRzxmOaNJEbqrqCD+BrNt/DWhWl+t9a6PYW92ucTQ26o3IxyQBnrQBq0VV1CzkvrQwxXtzZuSCJrbbvGP95WH5iqFjpus2l4jTa+17ajO+O4tIxI3HGHj2gc4/hNAGzRVXUJr2C1L2FpHdTgj91JN5QI7/ADbTz7frVGx1jUJ7xLa88PX9nuz+/MsMkQwM9Vfd+a0AbFFVdQ1Oy0m1N1qF1HbW4IUySthQT6ntUdhrWlaqM6dqdleDr/o86yfyJoAvUUUUAFFFFABRRRQAVmN4i0NGKtrOnhgcEG6TIP51p1554R1Al/FHiP8As28u/t+pSCJreNWMkMAEKYyRnlHP40AegRSxzxLLDIkkbDKuhyCPYin1xPgQWunaBd6tNqFoLfWL+W9hjhf91CG/5ZrkDLDaS2AOd3HFdjbXVve2yXFrPHPBIMpJEwZWHsR1oAlrlvDfiqXXvE+v6f5Cx2uni2a2f+KZJFY7/odvHtj1q/rck16w0exMRnlUSXG9iAkGcEHHIL8qPbcR0rm9G+02vxj1aC6WBHu9Ft5wsBJXCSuncD1oA76iiigAooooAq6jptlq1k9nf20dxA+CUcdCOhB6gjsRyKwv+Jz4ZPWfWdHH/Ary3H/tZR/33/vmunooArafqNnqtlHeWNxHcW8n3XQ5HuD6EdCDyKs1g6hoEiXsmqaHOllqL8zKwzBd47SqO/YOPmHuOKn0jX49RnksbqB7HVYV3S2cpBOOm9G6On+0PoQDxQBr0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVPU9Us9HsWvL2Xy4lIUYBZnY9FVRyzE8ADk1FrGs22jWySSq8s0reXb20QzJO/ZVH6kngAEkgDNUdL0W4mvl1nXWSbUQD5ECHMVkp6qmerEfec8noMDigCCHSrzxHMl5r8RhskYPb6TuBHHIecjh27hOVX/aOCOmoooAKKKKACiiigDj/AB/4VuNd0+31LR3EHiHSn+0afN6n+KNv9lhx+XbNaHg3xTb+L/D0WoxIYbhSYbu2b70Ey/eQj+XsRXQV5n4ohl+H3iweNbGNjot+yw67bxjOw5wlwB6gnB+vuSAD0yimQzRXEEc8MiyRSKHR0OQykZBB7in0AFVNR0vT9XtWtdSsre8gbrHPGHX8jVuigDz6X4WQaZK1x4O13UfDsxO7yYn862Y/7UTnB/P8KZ/wkPj/AMM8a74ch12zXreaK2Jcephbkn/dwK9EooA5XQfiP4W8QzfZrXU0gvQdrWd4DBMG9NrYyfpmuqrF17wl4f8AE8Xl6zpNrd8YDumJFHs4ww/A1yv/AAgHiDw98/g7xbdQwr007Vh9pg/3Vb7yD6ZNAHolFed/8LA1/wAPfJ4y8JXUEK9dR0o/abf/AHmX7yD65NdXoPizQPE0PmaNq1recZKI+HUe6HDD8RQBs0UUUAFVTptgbxLw2VsbpM7Z/KXeuRg4bGRwTVqigCrqFhHqNt5Ek1zCNwYPbTtEwI91I49jxVKx0W7sbxJf7f1K5txnNtciF1PHHzCMP/49WvRQBV1Br9bbOmx20lxuHy3Lsikd+VBIP4VSsb7W3u0h1DRYYIyDme2vRMi8dwyo3PTpWvRQBU1HUrbSrb7Rd+cItwXMUDykE+oQEge/Sqen+KNC1S6FrZataS3RBItxKBLgdfkPzfpWvSFQSCQCR0PpQBT1X+0f7OmGlJbteMpEZuJWjRTg4JIVicHHGK5vQdI8SaB4PsNDtINKjmt7cRG6a6kkAf8Aik2eUN3zEnG4fWum1HTLXVbYW94jtGGDjy5XjYEdwykEdfWqdh4fi027Wa31DVGjAI8i4vXnQ5/66Fm/WgDnxa+Hfhx4a0mK8vE8y0aRbaW5uPKM00mS5POMEknnOBjHOK0/A62Q0CSWyv4r9bi7nuJbiD/VNI7l3Ef+yCSv4GtjUk1F7YDS57WGcMCTdQtIpXuMKykHpzz9K8Y+JPxH8a6KYYtHNkY7dyLy9sIWnjDjGI2LptQ9cgEnnt3APZItJ0mxvZ9Sh0+yt7uQEzXSQojuOp3OBk+vJrxzU/itotr8VFsdL8J6bqLGdLcajAE8+aRsco+OgJx1565FO0n4j+FtU0+0vfG1xqEl7IquLK5tiloo67o0HyyLkcFizc8AV0ugWfhzxak17d2/k63fsZraRrRoprONceUInZRyoVWO3ILFuooA6oL4svhlpNL0mM/wqr3cmPqdiqfwYfWj/hF5p+b/AMR61c+qpOtsv4eSqH9TVjQdVnuhNp2pBE1aywtwqjCyqc7ZUH91sH6EMvatmgDn/wDhCtCI/ewXNx73F9PMf/H3NH/CD+Gu2kQA+oLA/nmugooA58+DNIXmBtStj2+z6ncRj8g+D+IpP+Ee1O25sPE+oqB0ju44rhPxJUP/AOP10NFAHPG78U6f/wAfGm2WqxDq9jKYJfwikJX/AMiVVub/AEDxNJDY3Us+natG2+2WdTb3UT/3oi33vfbuUjg5HFdXVa+0+y1S1a1v7SG6t26xzIHU/gaAMex1m6sL6LSdf2LcSnba3yLthu/b/Yk/2Oh6qTyB0Nclf+F7uCylttPmW/06QYfStTkZ1I/6ZzcuhHbO4DAxt61naF4ubTNQGi63JcRrkCGW9AWaLJwEmIO1wTgLMpKscBsN94A76iiigAorLutbjg1NtPisry6nSJZX8iMFUDEgAsSBk7Tx1xWZZ+OLG/0iLVrew1J9Pkk8tZxCCM79nTdnG7jOMUAdPRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVm6zrMOj28ZMb3F3O3l2tpFjzJ39B6AdSTwACTTtZ1iDRbH7RMryyOwjgt4hmSeQ/dRR6n8gAScAE1T0XR547h9X1dkl1eddp2HKW0fXyo/b1bqx5PAAAAaNoksN0+ratIlxrEy7Sy58u3Tr5UQPRfU9WIyewG5RRQAUUUUAFFFFABRRRQAVDdWsF9aTWl1Es1vMhjkjcZDKRgg/hU1FAHmvg66n8EeJn8B6pK72MoafQrqQ/fj6tAT/eXt7emQK9Krm/G/hSPxboBtUl+z6hbuLiwu14aCZeVOfTsf8QKg8B+K5PE2kSw6hF9m1zTpPs2pWx4KSD+ID+62Mj8RzigDq6KKKACiiigAooooAK5TXvhx4W8QzfabnTEgvQdy3lmTBMG9dy4yfrmurooA87/AOEf+IHhnnQvEUOvWa9LPWlxKB6CZeSf97Ap8XxUg02Vbbxhoeo+HZydvmzJ51sx9FlQYP5fjXoNMlijniaKaNJI3GGRxkEehBoAr6dqlhq9qt1pt7b3du3SSCQOv5irdcNqPwp8PTXTX2jm68P6gf8Al40qYw59in3SPbAqpn4meGOosPFtivcYtLvH/oB/maAPRKK4fTfit4duLoWOrG60DUe9tq0Jg/Jz8pH4jNdtHLHNEskTq8bDKspyCPUGgB1FFFABRRRQAVFc3MFlay3N1NHDBEpeSSRgqqo6kk9BRcXENpbS3NxKkUESF5JHOFVQMkk9hXOWlrN4puotU1KJ49KiYPY2MgwZCOk0ynv3VD93gn5sBQAC3/i4bnNxp2gn7qDMdxej1J6xRn04Zu+0cHoLaxtLOySytraKG1RdiwxoAgX0x0xViq9/e2+m6fcX13II7e3jaWRz2UDJoA8ZutMtPD3jWDwDfvBJ4U1K6jvbdJV3G3YlyLfJ+6ryIMeoDDkkmutl+FkGmytc+D9c1Hw7OTu8mF/OtmPq0TnB/Orj+DYvE/hG/h1yMxX+rv8Aanb+O0cD90qn1jUKOOp3f3jR8P8AxLeX8N34e1/CeItHIiuQf+XhP4Jl9Qwxn39MigDjvFdp41RLWfXvCeneI2sH3w3mnrlnX+JJIWGTuHdPukAjOMHpPB3ibwJqF2v9k6hLZX4BRtOu7uWIo3dfJdthYf7IOK9CrgfGfhHRJLt9a1HSIL3T5QF1KMx/PGo4FwjD5gVHDYPKjPVQCAdlqVvfXNuq6ffiymDZ3tCJQwweCCR+hHSqunx+IYroLqV1plzbYPz29vJC+e3yl3B/MVyCeA9c0ONZvBXi+4jtiAyWGp/6VbEdgrfeRfpmnf8ACf8AiDw/8njHwldQwr11HSj9pg/3mX7yD65NAHbalfT2FussGm3d+S2GjtTGGUY+987qCPoc89Kradr8WoXX2U2Gp2s20ti5spFXA/6aAFM+26maD4t0DxPD5mjata3nGSiPh1Huhww/EVs0AQ3F5a2YQ3NzDAHbahlcLuPoM9TUoIZQykEHoRUV1Z2t9CYbu2huIic7JkDr+RqhYeGdE0q7N1p2l2tnKQVJtoxGCD1yq4B/KgDVrL13w9pniSwNpqdssqYOxxw8ZIwSrduOD2I4ORxU+p2NxfQIltqd1p7q27zLZY2LcdCJEYY/AH3qtp1lrVrdf6ZrMN7a7SNrWYjlz2O9W249tv5UActpmo6l4DuodG8R3ButElcRWGrsP9UTwsU/p6Bun06Dv6zNdSWbTXt10mPVIZgY57d5VTchHP3hg/QkV4tP8Uta8A+K4fCkuk3E2nJLGIo75g11HE+MIro7K4HO0nJxweRQB614x1CPw34N17VoRsnFu7hgfvSlQifrsFTeGtBi0jwdpOjSxgi0t4Vcesi4Yn/voZpviTwtH4ntha3ep38FqJI5TBb+UFZkYMudyMSMgHGccVs28TwwLHJPJOw6ySBQzfXaAPyFAEtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNdtiM2CcDOFGSfpTqKAOf0bTbq7v/AO39Zi2XrKUtbUkEWUR7ccGRuCzfRRwMnoKKKACiiigAooooAKKKKACiiigAooooAK868d6dd+G9Zh+IGiQtJLbIItXtU/5erXu3+8nXPoPQYPotIyq6lWAKkYII4IoArabqNpq+mW2o2MyzWtzGJIpF6EH/AD0q1XmOkM3w08aDw/MSvhjWpS+mSE/LaXB5aAnsrdV//Wa9OoAKKKKACiiigAooooAKKKKACiiigCnqWlafrFqbXUrG3vID1jnjDr+R71xUnwsi0uVrjwdr2o+Hpid3kRv59sx94nP9fwr0GigDzv8A4SPx94a41/w3FrlmvW90Rv3mPUwtyT9MCtvQfiL4W8RS/Z7TVI4r3O1rO7BhmDem1sZP0zXU1i694R8P+J4tms6Ta3ZxgSOmJFHs4ww/A0AbVFed/wDCA+IvD3zeDvFtzHCvTTtXH2mD/dVvvIPpmsvXPiH4l0a1OleIvD8mm3VwuBqenP8AaIkiDKJJQg+ZSobjOeSuaAOwYf8ACWaw0Z+bQtOmww7Xlyp6e8cZH4uP9nnqK5/wnrvhjU9KgtvDeo2k9tbxhEhif50UdNyn5h+IroKACub1f/id+IbTQ15tLXZfX/ocH9zEfqylz7RgfxVs6nqNvpGl3OoXRIht4zI20ZJx2A7k9AO5NUfDWnXFlpr3F+B/aV9Ibq8wc7XYABAe4RQqD2XPegDZrhPiBoN8k1p4x8PR51zSQS0Q/wCXy26vEfU4yR79OcY7uigDM8Pa9Y+JtBtNY06TfbXKbhnqp6FT7g5B+laZAIIIyDXmNx/xbHxsbtfk8J6/Picfw2N2ej+yP39PYAA+nUAcxYE+FtVj0iQ40e7c/wBnSHpbydTbn/ZPJT8V7Lnp6qalp1tq2nTWN2heGVcHBwVPUMp7MCAQRyCAazdB1G5E82iaq4bU7RQwlxgXcOcLKB69mA6N7FcgFLXvhz4W8QzfabrTEgvQdy3lmTBMG9dy4yfrmsb/AIR7x/4a50LxFDrtmvSz1pcSgegmXkn/AHsCvQ6KAPPovinBpkq2/jDQ9R8OzE7fOlTzrZj/ALMqDB/L8a7bTtU0/V7VbrTb23vLdukkEgdfzFWJYo54miljWSNxhkcZBHoRXE6j8KfDs9019o5uvD+oH/l40mYw59ig+Uj2wKAO5orzvPxL8MdRYeLbFfpaXeP/AEA/zNXNO+K3h24uhY6v9q0DUD1ttWhMP5OflI/EZoA7iuP8XeD7TxbrNnBf2SSWf9n3cb3G1S0UjND5eCec/fI+h9a62KWOaJZYnWSNhlWU5BHqDUQvrc6i1gJP9JWITFMHhCSAc9OqmgDkPCGq6po91D4R8VXCS6ksO+xvQTtvYgPmGT1kTv3Iw3qa7euJ+KGnTXnhiO6t9sc1hcLcrcgkPbYz+8U9gDjdwfl3EcgVe8E+Kj4j0oLdqIdUt1AuYsYzyV3gehKsCP4WVl5xkgHUUUVlzeIdNivJbRZpZ7iL/Wx2tvJOYiegfYp2n2ODQBqUVSsNX0/VGmWxuo5zCVEuz+AkZCn0bHUdR3q7QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBjeKfDdl4s8PXWkXwISYZSRR80Ug+66+4P9R3rC+H3iS9vI7vw3r5C+ItHIjuMn/j5j/gmX1BGM+/pnFdtXCfEHw/feZaeL/DyZ17SAT5Q/5fLfq8LevGSPfOOSMAHd0VleHPEFj4o0C01jTn3W9wm7B6o3dW9wcitWgAooooAKKKKACiiigAooooAKKKKACiiigArnPDQ/tW8vvEj8rdt5Fln+G2QkAj/fbc+e4KelTeLrmaLQXtLVyl3qEiWMDr1QyHaXH+6u5/8AgNbFrbQ2dpDa28YjghRY40HRVAwB+QoA5jXfhv4W8QTfabjTFtr4Hct5ZMYJlb13LjJ+uax/7A+IPhnnRPEMGv2a9LPWV2zAegmX7x/3sCvRKo6xqcWjaTc6hMrOsK5WNfvSMThUX3ZiFHuRQB5jefEm3uNesNO8X6XdeH4bKbzroSjz4XnABhTzEBG0E7+ccqnbNepafqdhq1qt1p17b3du3SSCQOv5iqGhaMbPRGh1FYp7u8Zri/JG5ZJX+8OeqgYUf7Kiue1D4U+H5bpr7RWu/D+oH/l40qYwg+xT7pHsAKAO6orzvf8AEzwx99LDxbYr3TFpd4+n3D/M1c034q+HLq6FjqjXOg6j3tdWiMB/Bj8pH480AdVrOj2Wv6PdaVqMIltLqMxyL/Ij0IOCD2IrjfAOsXul39z4E1+YvqWmpusrluPtlp0Vh/tL0P074Jrvo5EljWSN1dGGVZTkEexrkfH/AIWudbsLfVNGcQ+ItJc3FhN/eP8AFE3qrDj/AOtmgDsKyNe0iTUYIbiykWDVLNjLaTMOA2OUb1Rhww+hHIFV/B3im28XeHodShQwzAmK6tm+9BMv3kI9j+hFb9AGdourx6zp/niNoJ42MVzbufmglH3kP8wehBBHBFaNc5rVtPpGof8ACR6fE8mFCajbRjJnhHR1HeROSP7y5XrtxvW1zBeWsV1bSpLBMgeORDlWUjIIPpQBLRRRQAVU1HStP1i1NrqVjb3kB6xzxh1/I1booA8+l+FkOmStceDtd1Hw9MTu8mN/PtmPvE5/r+FZUWqeO/DHiW7vte8Of25bm0hgN5o3DBVeVs+U3LMd3IGAMD1r1aq8F7b3Nzc28Um6W1dUmXB+UlQwHvwQeKAOc0T4h+FPErG0t9Sijuj8j2V4vky57rtbG78M1h3HhxvDXiG2TQ/keSJpbBZH4aRABLbMx/hkjVSPRoi3Pfrde8I+H/E8Xl6zpNrdnGBI6YkUezjDD8DXinxY8Iar4Q0vSW8Pa/rEllJfCOGykui7QzFW2eUfvAY3jHvQB6d4v8XSx/DqTVNDZlvLx0s7feuGgmdxGQw7Mh3ceorp9D0a00DR7fTbNcRxL8zn70j/AMTse7Mckn1NeYaVpz3vgLS7vWLxprHWoYhqNxEfmtroMPKuMn+LKoj543KpPG6vSYrbW5IRBd31qFxh57eFkd/oCxCH/vr2xQBXtRpegT3rW5eWXUriS+dLeIyMSAiMcKDwML+J9a1rC+tdTsYb2ymWa2nUPHIvRh/ntWD4hv4NBjtEtNMuXumia3hubbTZbr7NHxnPlqTjhcLkZIHpmr3hW1tbLwzY21nb3UFvGhCJdqVlI3H5nBAIZvvEEDr0FAGxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5hd/wDFsfGxv1+Twnr04F0o+7Y3Z6SeyP39PwAr0/qMiqOsaRZa9pF1peoQiW0uYzHIh9PUehB5B7EVxngHVr3SNRuPAevzF9Q09N9hcvx9stOikf7S9CPbvgmgD0GiiigAooooAKKKKACiiigAooooAKKKKAOevMX3jrTbY8pp9pLeMPSRz5UZ/wC+fProa57Rf9I8VeJbs8+XLb2Sn2SISfznb9a6GgArm7j/AInvi2O1HzWOjFZ5vR7ph+7X/gCneR6vGe1aeuaqujaRPemMyyLhIYQeZZWIVEHuzED8ab4f0ptI0iO3mkEt25aa6mA/1sznc7fTJ4HYADtQBp0UUUAFU9S0nTtZtTa6nY215Af+Wc8YcfXnoauUUAeeyfC1NKka48G6/qPh6Und9nR/PtWPvE5/r+FN/wCEk8e+GuPEHhqPWrRet7obZkx7wtyT9MCvRKKAPDJPHnh3RPGg8U6FfAWOoMsGvaXKhimif+G4EZ5JHRtufzOR7hFLHPCk0LrJFIoZHU5DA8gg9xWPr/g/w94oiKazpNtdnGBIyYkUezjDD8DXkWmaT4u8FeNZPCul+JzBbyoZtHh1NPNtrmMctFnrG6/7PXrxkZAPeK5eP/ik9XEJ40LUJv3R7Wdwx+77RyE8ejnH8Qxh/wDCwtb8P/J4z8J3drEvXUdM/wBJt/8AeYD5kH1ya6XT9d8M+NtLmgsdQs9StpoyssKv820/3lOGX8QKAN+iue0O9ubG9bw9qkzS3MSGSzuX63cA4yT/AM9FyA3rkN/FgdDQAUUUUAFYmh2s8Or+I55omRbjUEaIsPvILaFcj23K1bdQWt5b30cj20gkWOV4WIBGHRirDn0IIoAnrz7Xv+J38YvDelD5oNItJtUnXsWb93Hn3Bya9Brz7wB/xN/F3jLxKeUlvhp1uf8ApnAuCR7EnP4UAaegS6fb+HZNA1LYYYr2bSVjkUlXQ5aJD2GYig56nA6kCr3hy5ntJbjw/fytJc2IBgmc5NxbHhHJ7sMFG91z/EKp/wBm29/4i8T6PcbhFeQWt5uQ4ZXIaMOp7MpgQg9iBT9RstWGjWGrPGkmu6VuZlg6XSdJEA7eYoDAdmC+lAHU0VXsb231Kwt720kEtvcRrLG4/iUjINWKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArkPH/AIVuNe0631HSHEHiHSn+0afP6t/FG3+yw4/LtmuvooA5/wAG+Kbfxd4ei1GJDDcKTDd2zfet5l4ZCP5exFdBXmfiiGX4f+LB41sY2OjXzLDrtvGPuHOEuAPUE4P19yR6TDNFcwRzwSLJFIodHQ5DKRkEH0xQA+iiigAooooAKKKKACiiigAooooA5/wp86azN3l1W4z/AMBIj/8AZK6Cuf8ACPFhqK911W9z+M7n+Rq74g1VtI0iS4hjE125WG1hJ/1sznai/TJ5PYAntQBnf8h3xf8A3rDRD+El2y/+00b85PVa6Ss7Q9KXRtIgshIZZFy80xHMsrEs7n3ZiT+NaNABRRRQAUUUUAFFFFABXNeN/CieLNBNvFL9m1K2cXFhdrw0Ey8qc+h6H/ECulooA5XwJ4rfxPo8kd9F9m1vT5Ps2pWp4Mco/iA/utjI/Ec4puu/Dbwtr032qbTVtb4Hct5YsYJlb13L1P1BrG8c6fdeGNbi+IGiwtI0CCLWLWP/AJebb+/j++nXPoPQc95p2oWuradb6hYzLNa3EYkikXoymgDzPWPBfj6wt4v7G8SRaylrIJrVNUTbcwuP7sw+9kEghuCCRVzT/jBp1vcPYeLNMvdAv4XEUzTRmS3D4zgSLnqORkYwQcnrXpNc54j0qQSjWrC1W5uYo/LurQqCL23zkxkHgsOWQnvkdGNAGzYalY6rardafeW93bt0lgkDqfxFWq88/wCFb+FtXii1zwxc3Wh3FwgeO60mUxKw9Gj+7j1XA7g0nmfEvwx/rIrDxbYr/FHi0u8fT7h/Dk0AeiVh+FLea20aUXETxSyX97MVdcHD3MrL/wCOkY9qxNM+Kvhu7uhY6m9zoWo97XVojAfwY/KR+PNdhZ3lvqFlBeWkqzW86CSKRejKRkEUAUPE+rroHhbVNWYjNpaySqD3YA7R+JwPxrK+GmkNonw70W1kB894BcTFuu+Qlzn3G7H4VlfFhjqGl6N4YjJ3a5qcNvIB18lTvkP4bV/Ou/VQqhVAAAwAO1AGAf3fxDXH/LbSjn/gEox/6MNXdd1OXRtO/tBYPOt4XVrrBO5If4nA77fvEegPfFUpufiHZ/7OlT5/GWL/AANb7KGUqwBBGCD3oA5vSHXR9fuNIDA2N8GvtOYH5RkgzRj6MwceznstdLXM6l4cNp4Ygt9I3vd6VJ9p08SNyCpJEOeyFGaL2U9yM1uabqEGq6ZbahbMTBcRrImRggEZwR2I6EUAWqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCK6tYL20mtbqJJbeZDHJG4yGUjBB/CvOvB91P4I8TN4D1OV3sJg0+hXUhzvj6tAT/AHl7e31Ar0qub8beFI/FugNapL9n1C3cXFhdrw0Ey8qwPp2Pt7gUAdJRXKeA/FcniXSJYdQi+za5p0n2bUrY8FJB/EB/dbGR26jnFdXQAUUUUAFFFFABRRRQBman4g03Rp7eG/mkikuWCQhYJH8xjn5QVUgtweOtOtdd067vRZRzsl2UMiwTxPDIyjqwVwCQOORXM6482ofFHQbKCETLpVnNqEqs+0bpP3MfY848w02POs/FG1XVMWl5o1nJcWVpGd4mSb920pfjgY27MAgnOTxQBs+Gf3d/4jtT1i1RmA9nhikz+bn8qjt/+J74tkuj81joxaGH0e6YfvG/4Ap2A+ryDtWBrfim18OeM9V0+C5tzquq2tqLKBm63Jd4vm9BgxNz1AOK7XR9Mi0bSbbT4WZ1hXDSN96Rics7e7MSx9yaAL1FFFABRRRQAUUUUAFFFFABRRRQAjKroUdQysMEEZBFeZaMzfDXxmPDk7EeGdZlaTSpGPy2s55aAnsCeV/qSTXp1Yvirw1ZeLfD1zpF7lVlG6OVfvQyD7rr7g/1HegDaorivh/4lvb+G78O6/hPEWjkRXOf+XiP+CZfUMMZ9/TIrtaAOXuf+KT1d75eNDv5c3S9rSdjgS+yOeG9Gw3djXUVHPBFc28kE8ayQyqUdHGQykYII7iue0aeXQ9RXw5eyM8LKW0u5kOTJGOsLHu6D8WXB5IagDT1zS7DVtLnh1DT4L6MIzLFNEJOcdgR1+lef6J8L7nS9A0258OeIdU0HUWtYmuIGPnW7S7BuLRP0JOe/HpXpl1dQWNnPd3MqxW8EbSyyN0RVGST7ACpsjGe1AHhU2ueKrb4pW8viDSRrZ8N2rbzocZYoZxxIUY5LbRyBXpugfEPwv4kkEFjqsSXmdptLnMMwPptbBJ+maxvhZ/xM4/EXiluf7Z1SQwt628X7uP8sNXS6/4O8O+KIyus6RbXTYwJWXbIv0cYYfnQBHD+++IV6e1tpcC595JZSR+UY/OugryLRPB3iTTb3WLzwd4laOCK8NrHZ6shuI5UjUAgyfeUBzIBjsK2f+Fiaz4f+Txn4UvLOJeuoad/pNt/vNj5kH1yaAOy1y1vbrTH/s2cw30LCaD5iFdlOdj+qtyp9M56gVgeDtTha/u7KIMlteBtQtI34aIlttxCR2ZJskjt5gHatrQ/FGheJYPN0bVbW8XGSsb/ADr/ALyn5h+IrN8aTW2jWNnr5ZIX026WQnp5kb/LKvuSpLAd2VaALHjTxG/hnw613bwrPfzypa2ULHAknkO1QfbqT7A0uneE7GK2VtWRNW1Fxme7vEEhZu4QHhE9FXAHueai8ZaJPr+l6fNYGOS606/g1K3R2wkxjOdu7tlSwB9cVoLqV5eReXbabc207DBe6VQsR98MdxHouQemR1oAg8M6PNolnepc3Mk0lxfSzK0shciPO2Jcnk4RUFblcp4xs4o9K0csPNlg1XT0SWT5nx9pjBOfU966ugAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA868d6dd+G9Zh+IGiQtJLap5Wr2qf8vVr3b/eTrn0HoMHu9N1G01fTLbUbGZZrW5jEkUi9wf89KssoZSrAFSMEHoa8y0hj8NPGg0CYlfC+tSl9MkJ+W0uDy0BPZW6r/8ArNAHp1FFFABRRRQAUUUUAcrZeGtas/EWq61/bNhJcagkMe1tOfESRggKv77uWJPuau6T4bWx1m81u8umvdVu41haYpsSOJTkRxpk7VycnJJJ5zW7TXbAwGVXbhd3POM9O/SgDx3x98LLW/8AHln4sn1GeK0uL22iuoo87lJxGjK+flywRfbOc9q9D/4R7VLf/jx8U6ko7R3ccM6fmUD/APj1aWraXDq2i3mmP+7juImj3IMFCejD3B5+oqHw5qcmq6HBPcKEvEzDdoP4JkJVx9NwOPUEGgCnjxha9G0TUQPUS2ZP/o0Uf2/q9v8A8fvhW/x3ks54Z1H4Flc/gtdDRQBz3/CbaHH/AMfs1zp57/b7OW3Uf8CdQp/A1q2Orabqib9P1C0u167reZZB+hNXKyr7wzoOpvvvtGsLiTqJJLdSwPqGxkUAatFc9/wh1hDzYXurWB7C31CUoPojlk/8do/sjxHbf8enicTgdBqNgkn6xGKgDoaK577V4ttv9bpelXyjq1vePC5+iOhH/j9H/CUTQf8AIQ8Oa1a46skC3K/h5LOf0oA6GisGPxr4beQRyavb2sp4Ed4TbOf+AyBTW1DPFcRCSCVJYz0ZGDA/iKAJKKKKAOE+IGg3yTWnjHw9HnXNJBLRD/l8turxH14yR75xzjHT+HtesfE+g2msadJvtrlNwB6oe6n3ByD9K1K8wuP+LYeNjdr8nhPX58Tj+Gxuz0f2R+/p7AAEA9PrP1nSIda05rWV3icMJIJ4/vwSryrr7g/nyDwTWhRQBxOqajd6v4H1/SbqDGtQ2rW1zBEpIfeCqyIOpRxkj0wQeVNaHxD1k6B8P9b1BW2yrbNHER18x/kX9WFS+J7RoPs+uWMkUWp2jLFGJH2LdK7BfIY/7TFdp7NtPTIPJeMtUtvF954K0WzZmh1HUftdzGwwyx24LPG4/hO7gg91oA7Pwdow8PeDtI0nbte2tUWQf7eMuf8AvomtHU7+HStLu9QuDiG1heZ/ooJP8qtVzniT/iZahpegLytxKLq79oISGwf95/LXHcFvSgC54XsJtN8NWMF0MXbIZrn/AK7SEvJ/4+zVr1kf8JNpTSSpFPLcCJiskltbSTRow6guilQR3GeO9XbDUrLVIXmsLmO4hVzGZIjuUsOoB6HHTjvQBzmufDXwtr0/2qXThaXwO5bywYwTK3rleCfqDXMa74X8caToV9bWmtQ+JtJaFt9lqkZW5CgZ+SVOWfgEE9xXqlYnjDWR4e8Havq27a9tau8f+/jCD/voigDzT4GeP9Y8SRTaHqNsjQadbRrBdIpBwOAjnJycDIPH3TmvZq828A6L/wAIdB4ctiuwarpuy4H/AE9LmYZ9yskwz6Rj0r0cRqMbRtwS2F4GTnOfXqaAK17pen6kIxf2NrdCM7k8+FX2nrkZHHQVZRFjRURQqKAFVRgAegoXeCAcMOct0+nFCyA7Qfldl3bDjI6Z/mKAHUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY/inw3ZeLPD11pF8CI5lyki/eicfddfcH/DvWxRQBxPw+8SXt5Hd+GtfIXxFo5Ec5P/LzF/BMvqCMZ9/TOK7auF+IPh++8y08XeHkzr2kAnyx/wAvdv1eFvXjJHvnHJGOl8OeILHxRoFprGnPut7hM4P3kbure4ORQBq0UUUAFFFFABTVO5mbLY6bSMAYzz/n0ofO3hScnHBx+NKBtUAZwBjk5oAWubkP9g+LhKeNP1ohGPaO7VcKf+Bou36xqOrV0lU9V0y31jTJ7C53COVcbkOGRgcqynswIBB7ECgC5RWL4e1S4u4ptP1LaurWBEdyAMCUH7kyj+64GfYhl/hraoAKKKKACiiigAooooAZJFHNGY5UV0bqrDIP4VizeC/Dc0plGjWsEx6y2qeQ5/4FHg/rW7RQBz3/AAirwf8AIP8AEGt2mOim5FyP/I6uf1o+x+LLb/U6xpt6o/hurJo3P/A0fH/jldDRQBz39q+Jbb/j68NR3AHfTr9HJ/CUR/zqhrWsaNrOjXWleINI1e2tbmMxyCawkdR774w6gg8g56iuwooA8v8Ahn4zt0lufBup6tb3N5pp22d35gxd2/8AD1/jUYBHX64Jr1CuJ+JPgv8A4SnSIryxihOt6a3nWZlQMsuOWicHgq3TB4zjtmqvg6x8MeK/D0Op6bZT6TOCYrm2sbqW1NvMv3kKxso4PqOhHFAHR+KopJ7TToY42fdqlozbRnASVXJPt8teercRWvxp17xDFZq2maVBFaXsiZ/dvKoZ5wO+0Kqvjtk9ue2vNNudIjEkfjG+gU7tkd6kM6napc4yoc4VWP3ugNch8MIPE7eFbjXI7fSrs67dzX0sdzJJA53NtAyFcbcLkDHGaAPVHnhjt2uHlRYVQu0hb5QoGc59MV5drtzf3tvZSRNLa3Pi7UIrRZB8slvp6hmwP7rMu5j3BkI7CuLTxd4hHxCh+Hs2n7NEF8kUlgjea6wEhyvmYGYgO2B8ny17d4g0WHXLW1/fNaXdlMt5a3GzIidc9QcAqQSCuRweo4NAGnaWlrpljFa2sMdvawIFSNBtVFFVtD0m10TSY7Gyx9nDySKRjHzuznGO2WNR/ZNQvovJ1Ge1+zsMSJbIwMo9CSeFPcDP1rVoAK89+Kn/ABM4fD3hZeTrOqRrMvrBF88n5YWvQq89j/4nnxzlb71v4d0sJ/u3E5z/AOixQB0XjJGj8OvqESkzaXIl+gUckRnLqP8Aej3r/wACreR1kjV0YMjAFSOhBokjSWN45FDI4Ksp6EHqKwvBrsPDNvZSMWl095LByep8liik/VVVv+BUAb9HUYNFFADPL2riIhCF2qMfKPTilZmXcSuVC5GOSTzkY/KnUUAIGUsVDAsOozyKWkZVdcMAR6GkKsM7X5LA/MMgDjIH+e/4UAOopu8g/MpHzYGOc/4UqsrjKsCMkZB7jg0ALRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeYXn/FsfGx1BPk8J69OFulH3bG7PST2R+/p+AFen1S1jSbLXdIutL1CES2lzGY5EPp6j0IPIPYigC7nIyKK8+8A6te6PqNx4C16Yvf6em/T7l+Ptlp/Cf95ehHt3wTXoNABRRTXJwFBIZuAdpIFADU2yHzRsYY+R15ypx3+o/QVJRRQAUUUUAYmu6VcTSQ6rpWxNWswRHuOFuIzy0Ln0OBg/wsAfUG5o+r22tWIubfehVjHNDINskMg+8jjsw/wIyCDV+sHVdHuo7461ohRNSChZ4HO2K9QdFf0Yfwv26HI4oA3qKztI1q11mB2hDxXELbLi1mG2WB/7rD+RGQRyCRWjQAUUUUAFFFFABRRRQAUUUUAFFFFABXmfiaKT4e+Lf+Ezso2Oiagyw65boMiNs4S4A9icH6+pyPTKhu7S3v7Oa0uolmt50MckbjIZSMEGgDzH4z6jIvhvTW04+c14ZIoGQ5DmaPyhg+6ysRXVvK+gaVpnhXRAkmprapFFkZS3iUBTPIPQY4HVm49SPCr/AFq/0XxzpPgFHF5Y6PraPYPcBsqWA8pXA5ZUZyeOo6YGK+i9F0WLSIZWMr3N7cN5l1dygb5n98dFHQKOAKAHaTolppFhHaxL5rAl5JpcNJLITuZ2Pdi3P5YxgVfRjnaxBcDJwMDv/hXMXviuSDx/pPh6KBTbXcdx5s57Sxor7F+isCfqPQ11DDOOSMHPHegBGjRw25FO4bWyOo9P1oZM7iGZWZcZB6deQDxnmlUllBKlSRkg9RS0AMfcquwkC/LxuHCnnk//AK+1effCnzL/AE3XPFDIGbW9SmnhJOCYkJRF/Daefetn4l6w2h/DvWruMkTvbm3hx13yHYMe43Z/CtTwto6+H/CulaSAAbS1jifHdgPmP4nJ/GgDVZ9u4lW2qM5Azn6Ac1z2lOll4v8AEFkzBUmEGoLk8ZdTEw/OFT/wL3ro657UgLXxrod10W6huLFvdsLKv5CKT8zQB0NFNMaHd8uC2CSOCcUFOuHYEsD1z6cc9uP1oAdRTSJOcMv3hjI6DjP49aCzjPyZ+YAbTzjjk5x7/l+FADqKbvAzlWGGC9M5zj9OaA6nOGBwcHnofSgB1IVDFSeqnI/l/WlooAaFcY+fIySdw5x+FCvnaCrKxBOCM4+pHHenUUAICGUMpBBGQR3paaUGcglSBgYPA/DpSEugY43gLxjG5j+g9KAH0Um4bivOQATxx+f4UtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHIePvC1xr2nW+oaQ4g8Q6U/2jT5+mW/ijb/ZYcfl2zV/wb4pt/F3h6LUI0MNyjGG7tm+9bzLwyEfXp7EV0FeaeKYZfh/4sHjWxjY6NfFYddt4xnbzhLgD1BOD9fckAHpdNXJYsQwzxtJHYnn8f8KiWaK7t43heOaGZAysr8MhHUY6jkVPQAUUUUAFFFFABRRRQBkatoEWozpfW072OqQrtivIQC23rsdTw6Z/hP1BB5qpb+JJbCZLLxLAlhcMwSO7Qk2twe21z9xj/cfB9C3WuiqOeCK5geCeJJYZAVeORQysPQg9RQBJRXOf8I7e6R83hzUPIhH/ADD7wGW3+iHO+L8CVH92lHih7D5de0q608jrcRqbi2Pv5iDKj3dUoA6KiqtjqVjqluLjT7y3u4T0kglDr+YNWqACiiigAooooAKKzdS8QaRpDKl/qFvBK33IS+ZH/wB1B8zfgDWedZ1nVPl0bR2t4j/y+aqDEuPVYR+8b6Ns+tAG5dXdvY2sl1dzxQW8Y3PLK4VVHqSeBXPnUdU8Sfu9HWTT9NP3tSmjxLIP+mEbD/x9xj0VutWLbwvE91He6zdSatexndG06gQwn1jiHyqf9o5b/areoA4ey8I6JZfEKCaHS4WlttOMn2mVPMkaVpfvs7ZLPhW5JzzXVarfNZ2ypBsa8uG8q1jc8NIQTz3wACxx2U1bWaJpnhWRDKgDMgYblBzgkds4P5Gqtxo2l3d/Df3Om2c15BjyriSBWkjx02sRkfhQBwWtWt7pPirwHNdC32RX81v5kbsWd5oX3M2QOSQT9a6HxJrWs6NY6jqMcEPlWssSW0DLua9DbAQpDZVizFQCOozyDW1f6FpGqTRzahpVjdyx8I9xbpIyd+CQcVj6voGu3+rfabTXLK2to0228MmmtK0BIwzq3mgbzk4O3gcDqcgHRsBHudQAM7nwmS3Ht34Hr0qSimAFXxhiDkkk9OnFAHAfEH/iceLfBnhkfMk1+dQuR/0zgXcAfYk4/CvQq890L/id/GXxHqp+aDR7SHS4D2Lt+8kx7g8fjXoVABXP+Lv3Nlp19jmz1O2fPoHkETH/AL5laugrC8aQvN4J1oRjMqWcksf++ill/UCgDdoqOCZLi3jmjOUkUOv0IzUlABRRRQAUhUNjIBwc80tFADfLXsMfNuO04yff1o2EY+dvvZOccj0p1FADR5gxna3zHJ6YHOPXnp/nigM3GUPLEcEcDnBP6fnTqKAGiRTjqMsVGQRyM/4UqsrjKsGGSMg55HBpaQqrFSVBKnIJHSgAZVdSrAEHqCKQpySrEEkE85//AFUCNRtxu4JP3j3/AJ0BWG0b8gZzkcn8qAAs4zlMjcANp7ccnP4/54pVYNnBzg4P1pF8z5Q208fMRxz7D8+9NGHMZeIhsbhnB2Hp+fJ6e9AElFRKw/dhXxuy+187iPoeRgkfTpTkcsFyo+bJypyMduaAH0UisroHRgysMgg5BFLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVV1K0F/pd3ZssbCeF4sSruQ7gR8w7jnpVqigD52+G1j428H+NB4c1bURpa3ls4s0vozdQSshXiMLIoB2579OCOle0/YvF3/AEHtG/8ABPJ/8k1H428KR+LdAa1WX7PqEDi4sbteGgnXlWB9Ox9vfFQeA/FcniXSZYNRi+za5p0n2bUrY8FZB/EB/dbGR26jtQBb+xeLv+g9o3/gnk/+SaPsXi7/AKD2jf8Agnk/+Sa6CigDn/sXi7/oPaN/4J5P/kmj7F4u/wCg9o3/AIJ5P/kmugooA5/7F4u/6D2jf+CeT/5Jo+xeLv8AoPaN/wCCeT/5JroKKAOf+xeLv+g9o3/gnk/+SaPsXi7/AKD2jf8Agnk/+Sa6CigDn/sXi7/oPaN/4J5P/kmj7F4u/wCg9o3/AIJ5P/kmugooA4e+8EalqNwbm4vPD/2o/wDLzFo0sU3/AH8S5DfrUKeDfGVuR9j8fNboP4G05rgfnNM5/Wu+ooA5OHRvG0QAfxhp83vJon/xMwrzvwl4X+K1r8QNRur/AFcw2j791xct9oglyfl2QiQEe3I2jj2PtzqGjZWJCkEEhiCB9R0rz3wgY77wbceItX1jUYrae4uJ7eR7+VRBbiQrGPvYPAB5BJz3oA07jQfHM4Ij8cWlv7xaIp/9ClaqJ8DeJ7j/AJCHjMX3qslpNEp+qxXCKfoRit3wJe6xqHgzTrvXUdL+VWLb0COU3HYzKOAxXaSPft0roqAOQ03wtrOjqV0298OWm77xh0J1LfUi4yfxq/8AYvF3/Qe0b/wTyf8AyTXQUUAc/wDYvF3/AEHtG/8ABPJ/8k0fYvF3/Qe0b/wTyf8AyTXQUUAcLplj4qfxNrsq6zpSyKYIXdtKkKthNwwPtHGPM9T+FbX2Lxd/0HtG/wDBPJ/8k1vJIkhYI6sUba205wfQ+/NOoA5/7F4u/wCg9o3/AIJ5P/kmj7F4u/6D2jf+CeT/AOSa6CigDn/sXi7/AKD2jf8Agnk/+SayvE1p4xj8LarJH4g0lXS0ldWTTHjYEKTkOZ2Cnjg4OOtdrXD/ABav5bX4fXlnan/S9Ukj06Bf7zStgj/vndQBw/wT0TxtDoN9qTahbWtpqUq3MRvrdrl5mIO6TiVCueOuc4zx39Q+xeLv+g9o3/gnk/8AkmtbTLCLStKs9OgGIbWBIE/3VUAfyq1QBz/2Lxd/0HtG/wDBPJ/8k1HcaX4rubaWCTXdGKSoUYf2PJ0Iwf8Al5rpKKAOH8KReK7vwho06a3pKK9lCdj6VI7L8g4LC4GSOmcD6Ctj7F4u/wCg9o3/AIJ5P/kmjwT8vhW3i/54TXEH/fEzp/7LXQUAc/8AYvF3/Qe0b/wTyf8AyTR9i8Xf9B7Rv/BPJ/8AJNdBRQBz/wBi8Xf9B7Rv/BPJ/wDJNH2Lxd/0HtG/8E8n/wAk10FFAHP/AGLxd/0HtG/8E8n/AMk0fYvF3/Qe0b/wTyf/ACTXQUUAc/8AYvF3/Qe0b/wTyf8AyTR9i8Xf9B7Rv/BPJ/8AJNdBRQBz/wBi8Xf9B7Rv/BPJ/wDJNH2Lxd/0HtG/8E8n/wAk10FFAHP/AGLxd/0HtG/8E8n/AMk0fYvF3/Qe0b/wTyf/ACTXQUUAc/8AYvF3/Qe0b/wTyf8AyTR9i8Xf9B7Rv/BPJ/8AJNdBRQBz/wBi8Xf9B7Rv/BPJ/wDJNN/s7xWCCNc0UEDaCNGk4Hp/x8+wroqKAOb/ALM8WBlYa/pGVQoCdIkJAOO5uc9hXnEPhj4nx/GG3v59Sln0hJUMlwkuyB4ABuTyd5IJ54555969rooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvO/Hem3fhzWIfiBokLSTWqeVq1qn/L1a92/wB5OufQegwfRKRlDKVYAqRgg96AK2malaaxpltqNjMs1rcxiSKRe4P9farVeY6Sx+GnjQaBMSvhfW5S+mSH7tpcnloCeyt1X/8AWa9OoAKKKKACiiigAooooAKKKKACiiigDm/HWo3Vh4P1MWFpeXV/NayR20drbvK28jaD8oOMZzzjpT/DPh3SNO0DS4odOgEltbxxiWS18uQsoALHcoYEkZ5roaKACiiigAooooAKKKKAOf8ACnzQ6vN/z01W5/8AHX2f+yV0FNR0kTdGyspzypyKdQAUUUUAFee+Kf8Aid/FfwloY+aHT0l1e5X/AHfkiP4Pn869Crz3wT/xOfiF4z8RH5oorhNJtj6CIZkx7FiDQB6FRRRQAUUUUAc/4O40i8j/ALmq34/O6lP9a6Cuf8JcWuqD01W7/WUn+tdBQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGP4o8N2Xizw9daRfAiOZcpIv3onH3XX3B/w71g/D/wASXt2l34a8QEL4i0ciOck/8fMX8Ey+oIxn39M4rtq4X4geH74vaeLvDyZ17SAWEY/5e7f+OFvXjJHv05PAB3VFZXhzxBY+KNAtNY0591vcJnafvI38St7g5FatABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUEgDJOAKAOf8D8+CdJk/wCe0Am/77Jb+tdBSLt2jbjbjjHTFLQAUUUUAZ+u6pHonh/UdVlxss7aScg99qk4/HGK534V6XJpfw50rz8m5u0N7Ox6s0pL5PvggfhVL4uSvc+GbLw9AxE+u6jBY/L1CFtzt9AF5+td5FEkEKRRKFjRQqqOgA4AoAfRRRQAUUUUAc/4S5tNUPrqt3/6NI/pXQVz/g8Z0i7f+/qt+fyupQP5V0FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHmN5/wAWx8bHUU+Twpr0wW7Ufdsbs9JPZH7+n4AV6dnIyKpavpNnrukXWl6hCJrS5jMciH0PcehB5B7EVxfgHVrzR9SuPAWvTF7/AE9N+n3L8fbLT+E/7y9CPbvgmgD0GiiigAooooAKKKKACiiigAooooAKKKKACiiigArI8VTfZvCGtz5x5dhO/wCUbGtemuEZGVwpQjBDdCPSgCDT4Psum2tvjHlQon5ACrNFFABRRRQB57qH/E8+N+lWn3rfQNOkvH9BNMdig++0bhXoVee/DP8A4m2p+LPFLcjUtTMEDf3oIBsQj68/lXoVABRRRQAUUVDd3C2llPcv92GNpD9AM0AY3grnwpay9ppJpx775XfP/j1b9Yvg+3a18FaFA/300+AP/veWM/rmtqgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArkPH3ha417TrfUNIcQeINKf7Rp8/TLDrG3+yw4P4ds119FAHP+DfFNv4u8PRahGhguUYw3ds33reZeGQj69PYiugrzTxTDL4A8VjxtYRs2j3pWHXbeMZ284S4A9QTg/X3JHo8E0VzBHPBIskMih0dDkMpGQQfTFAElFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/4058OeX/AM9b2zh/77uYl/rXQU10SQBXVWGQQGGeQcg/gRmgB1FFFABWB431r/hHvBGs6qG2yQWr+Uf+mhG1P/HiK3689+KH/E1n8MeFV5/tbVEedf71vD88n/sv5UAb/gHRf+Ee8BaLphXbJFaq0o9JG+d//HmNdHRRQAUUUUAFYXjSVovBWshDiSW0khjP+242L+rCt2ue8W4mttLsO95qlsuPURt57D/vmI0Ab0USwwpEgwiKFUegHFPoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIrm2gvbWa1uYllgmQxyRuMhlIwQfbFed+ELmfwP4mbwJqcrvp8+6fQbqQ53R9WgJ/vL29vqBXpNc5428KR+LdAa0WU29/A4uLG7XhoJ15VgfTsfb3xQB0dFcp4D8VyeJNJlg1GL7NrunSfZtStjwVkH8Q/2Wxkduo7V1dABRRRQAUUUUAFFFFABRRRQAUUUUAFc/4jJbVPDEI/5aaqSfottO/wD7KK6CmPFHI8bvGrNGdyEjJU4IyPQ4JH4mgB9FFFABXntr/wATz45X0/3rfw9piW6+gnnO4n/vjivQHdY0Z3YKigliegFcB8JEa90LVPEsqkSa7qU92ueoiDbEX6DacfWgD0GiiigAooooAK57UP8ASvHGjWwGVtLa4vG9mO2JPzDy/ka6Gue0cG78WeIL88rEYNPjPsiGRiP+BTEH/d9qAOhooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDzvx3pt34d1iHx/okLSTWqeVq1qn/L1a92/wB5OoPoPQYPdaZqVprGmW2o2EyzWtzGJIpF7g/19u1WWUMpVgCCMEHvXmWlE/DTxoNBlJXwvrcpfTXP3bS5PLQE9lbqv/6zQB6dRRRQAUUUUAFFFFABRRRQAUUUUAFYF6xfx9o8YJ2pp15Iw999uo/m1b9MMMRnE5jQyqpQSbRuCkgkZ9MgfkKAH0UUUAch8UNWfR/hzrE0OftE8P2WEL1LykIMe43E/hW54c0lNB8NaZpKYxaW0cJI7kKAT+JyfxrkPHf/ABOfHHgzw2Pmj+1tqlyPRIFymfYsSK9CoAKKKKACiiigBk00dvBJNKwSONS7segAGSaxPBsUi+F7W5nUrcXxe+lU9VaZjJtP0DBfwpnjJjNoQ0tGIk1WdLAY67HP70j6RCQ/hXQABVCqAABgAdqAFooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArH8UeHLLxX4eutIvwfLmX5JF+9E4+66+4P+HetiigDifh/4jvbtLvwz4gIXxFo5Ec5P/LzF/BMvqCMZ9/TOK7auG+IHh++Z7Txb4eTOv6QCwjH/AC9wfxwt68ZI9+nJzXSeHPEFj4o0C01jT33QXCZ2n7yN0ZW9wcigDVooooAKKKKACiiigAooooAKwLN2k8e6uNx2R6dZqFzwGMlwT+m2t+o1ghSeSdYkWWQAO4UBmAzgE98ZP50ASUUVXv72LTtOur64OIbaJ5pD6KoJP6CgDhfDf/E7+L3inWT80OlwQ6Tbt2z/AKyX8Q3H416FXC/COylh8Bw6jdDF3rFxLqU59WkbIP8A3yFruqACiiigAoopk0sdvDJNK4SKNS7sxwFAGSTQBgP/AMTLx5GnWHSLQyH08+bhfxWNG/CUV0VYHhCKRtHfU50KXOqzNfOrDBVWwI1PusaxqfcGt+gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8xvR/wrLxqdST5PCmvTBbtR92xuz0k9kfv6fgBXp1UtX0mz1zSLrS9QhE1pcxmORD6HuPQjqD2IoAug5GRRXn3gLVrzRtSuPAWvTGS+sE36fcvx9stP4T/ALy9CPbvgmvQaACiiigAooooAKKKKACsHw9I82q+JXZ2ZRqYSME5CgW0AIHp824/jW9UUNvDbmUwxJGZXMkhVcbmIAyfU8D8qAJa4X4uXksXgObTbU4u9YuItNgHq0jcj/vkNXdV574j/wCJ38X/AAvo4+aHS7ebVrhe2f8AVxfiG5/GgDurCzi07TraxtxthtokhjHoqgAfoKsUUUAFFFFABXOeLSb6Gz8Pxn5tVl8ubHa2X5pj9CMR/WQV0dc5oX/E11vUtebmEE2Nl/1zjY+Y4/3pMj3EaGgDowAAABgDoBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHI+PvC1xr+nQX+kyCDxBpb/AGjT5+mWHWNv9lhwfw7Zq94N8U2/i7w9FqEcZguUYw3lq33reZeGQj69PYiugrzTxTBL4B8VjxtYRs2j3pWHXbeMZ284S4A9QTg+ufcmgD0uio4J4rmCOeCRZIZVDo6HIZSMgg9xipKACiiigAooooAKwvCEsk+gGeWRnaS9vHBY5+U3MhUfQDAHsK3aitrWCzt1gtoliiXO1FGAMnJ/UmgCWvPfAf8AxOfG/jPxIfmjN4umWx9EgXDY9ixBrr/EerJoPhrU9WfGLS2kmAPchSQPxOB+NYfwv0l9H+HOjwzZ+0Tw/api3UvKS5z7jcB+FAHX0UUUAFFFFAGH4ovri306OxsHKajqUotbZh1jJBLyf8AQM31AHetSwsbfTNPtrG1TZb28axRr6KowKw9F/wCJ3rl14gb5rWINZ6d6FA372Uf77qAD/djUj71dJQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVFc20F5ay2tzEssEyGOSNxkMpGCCPTFS0UAebeELmfwP4mbwJqUrvp8+6fQbqQ53R9WgJ/vL29vqBXpNc5418KxeLdAa0Ept7+BxPY3a8NBOvKsD6dj7e+Kr+A/FUviTSZbfUYhb67psn2bUbY8bZB/GB/dbGR26+lAHV0UUUAFFFFAEF7N9msLifOPLiZ/yBNUfC/mnwlo3nyPLN9hg8x5GLMzeWuSSepJrSmhjuIJIZVDxyKUdT0IIwRRFEkEKRRKEjRQqqOgA4AoA4H4tu17oWl+GomIk13UoLVsdREG3u30G0fnXfoixoqIoVVAAA6AV5/df8Tz45WUP3rfw9pjzn0E852gf98c16FQAUUUUAFYHiW6nnFvoNjK0d7qW5WlTrbwDHmSexwQq/7Tr6Gti9vbfTrGe9u5RFbwIZJHPRVAyayPDdncP9o1zUYmi1DUNp8l+ttAM+XF9QCWb/AGmbsBQBs2ttBZWkNrbRrFBCixxxqOFUDAA/CpaKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArzvx3pt34d1eHx/okLST2ieVq1qn/L1a9z/vJ1B9B7YPolIQGUqwBBGCD3oAq6ZqVprGmW2o2EyzWtzGJIpF7g/19u1W68y0on4aeNBoUpK+F9bmL6a5+7Z3J5aH2Vuq/wD6zXptABRRRQBh+Mbia28H6rJbyvFOYCkckbFWVm+UEEdDk1uVDd2kF9bNb3MQlhYglG6HBBH6gVg+P9a/4R/wFrWphtskVqyxH0kb5E/8eYUAYPwu/wCJrN4n8VNz/a2qOsDf3reH5I//AGb8q9CrA8EaL/wj3gjRtKK7ZILVBKP+mhG5/wDx4mt+gAoorC8QalciSHRdKcDVL1SRJjItYhw0zD2zhR3YjsDgAqz/APFT+IPso50jSpg057XN0vKp7rHwx/2to/hYV09VNM0620jTYLCzQpBCu1QTknuST3JOST3JJq3QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj+KPDll4r8P3WkX6ny5l+SRfvROPuuvuD/h3rB+H/iO9ulu/DPiBgPEOjkRzE/8vMX8Ey+oIxn39M4rtq4b4geH75ntPFvh5P8Aif6QCwjH/L3B/HC3rxkj36cnNAHc0VleG/EFj4o0C01jT33QXCZ2n7yN0ZW9wcitWgDE8S3M8EOmJbyvG8+pW8ZKHBK79zD6EKQfauY+Jn/E21Twl4WXkajqYuLhfWCAb3B+uR+Vd3c2dvdvbtPGHNvKJosk/K4BGfyY1wenf8Tz436td/et9B06OzT086Y72I99vymgD0Oiiquo6ha6VYTXt7KIoIhlmxk+gAA5JJwABySQBQBBrWrxaNY+c0bTTyMIra2j+/PKfuov8yegAJPANQaDo8mnxz3d9Ik2q3rCS7mX7uR92NM9EUHAH1J5Jqvo2n3V5ff2/rEXl3joUtLVjn7HEex7eY3BY/RRwMnoKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8xvR/wrLxqdTT5fCmvTBbxR92yuz0k9kfv6fgBXpwORkdKpavpVnrmk3WmahCJrS5jMciH0PcehHUHsRXF+AtVvNG1K48Ba9MZL6wTfp10/H2y0/hP+8vQj274JoA6TWb+S18QaLF55it2FxNOM4DIkff2BYH8K5z4RRPc+GL3xDOpE+u6jPfHd1CFtqL9AF4+tTfFmeOw8D317HGW1GSFtPtCGOc3BVGAHTOBn8K6PToLLwn4TtLaeeOG0020SN5XOFAVQCT9cfrQBo3l3b2FnNd3cyQ28KF5JHOAqjqTWBp9pc6/qEWtanE8NpCd2nWMi4K/9N5B/fIPyqfuA/wB4nDbSzufE15FqeqwPBpsLCSx0+UYZ2HSaYevdUP3ep+bAXp6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuR8e+Fp9f02C/0mQQeINLf7Rp0/T5h1jP8AssOD+HbNddWXrGu2+k+VD5cl1fz5FtZQYMkpHU+iqO7HAHc0AeM6p47tPGXi/wAHxXUj2ttZMb7UrJgS0V1EWCx7erMXwAOp3DjNerWmmXeuXsWq67F5UMTB7LTCQREe0kuOGk9B0Ttk81wPh34O6hYfEpfF2oatAN08l2baHczCR92U3nGVG7rjnHQZr2KgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqjqmr2OjWwnvrgRqzbI0ALPI3ZUUZLN7AE1j/ZNX8Tc6h5ulaSf+XON8XNwP8Apq6n92v+yhz6sOVoAku9fuL+6k03w5HHc3EbFJ72TJtrU9wSP9Y/+wp4/iK972kaHb6T5s5kkur+fBub2cgyS46D0VR2UYA9OtXrS0trC0itbSCOC3iXbHFEoVVHoAOlZOuPf3M9vpcOl3M1lcuFvLtJYlWOLnIwXDEngHA4DEjkAUAcvqF5czfE/wAH6h5rixvFvreCLPylBErLJ9W2kj/Z29Dmu8e/s472Oye6gW6kyUgMg3tgZOF69BXFeJvDtzF4g8NXmiaNdXAsL3zp3W5TaIijIygSSA55B4GMd60PEF9ZweNPC6TXMEUgkuCyPIoYZhIGefXigDraKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACimTTRW0LzTypFEgyzuwVVHqSelc+3iW41M+X4b09r5T/wAv05MVoPcNjdJ/wAEf7QoA6CaaK3heaeRIokBZ3dgqqB3JPQVzv9v32t/u/DVsptz11S7QiAD1jXhpfqML/tHpUkPhYXUy3XiC8bVp1YMkLpstoj22w5IJHYuWYdiK6GgDH0vw7bafctfTyy3+puu1725ILgd1QAARr/sqAPXJ5rYoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKQkKCSQAOSTWJceMNBgmMCagl3cg4NvYq1zID7pGGI/GgDcornv7X12+407w+YEPSfU51iH1CJvY/RttH9ganfnOseILlkPW305fskZ/4ECZfycfSgC9qfiHSdIdYr29jSd/uW6AyTP/ALsags34Cs/+0vEOq8aZpiabbn/l61TlyPVYEOf++mQ+1ammaJpejI66dYwW285kZE+aQ+rN1Y+5Jq/QBgQeE7SSZLnWJ5tYukO5WvMGKM+qRABF9jgt7mt+iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAa4YowQgPj5SwyAfcd6wBomu3P8Ax++KJkB6pp9pHCp/F/MYfgQaKKAF/wCEK0OUhr6CbU2/6iNxJcr/AN8OSo/ACtu3toLSBYbaGOGJfuxxoFUfQCiigCWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/2Q==) +![md5:1373e93dbe1b167c20a29ddb75f0564b](1373e93dbe1b167c20a29ddb75f0564b.jpeg) We apply complex numbers with \(\omega\) the unit circle and \(p = 1\) . Let \(A_{1} = \ell_{B} \cap \ell_{C}\) , and let \(a_{2} = a^{2}\) (in other words, \(A_{2}\) is the reflection of \(P\) across the diameter of \(\omega\) through \(A\) ). Define the points \(B_{1}\) , \(C_{1}\) , \(B_{2}\) , \(C_{2}\) similarly. diff --git a/IMO/md/en-IMO-2012-notes.md b/IMO/md/en-IMO-2012-notes.md index ace1768c6f28a3f5b27a55bdbcd16a4941c8fc10..d17adc271053e6b60a629ef1751c516f3872cfc9 100644 --- a/IMO/md/en-IMO-2012-notes.md +++ b/IMO/md/en-IMO-2012-notes.md @@ -242,7 +242,7 @@ Let \(A B C\) be a triangle with \(\angle B C A = 90^{\circ}\) , and let \(D\) b Let \(\omega_{A}\) and \(\omega_{B}\) be the circles through \(C\) centered at \(A\) and \(B\) ; extend rays \(A K\) and \(B L\) to hit \(\omega_{B}\) and \(\omega_{A}\) again at \(K^{*}\) , \(L^{*}\) . By radical center \(X\) , we have \(K L K^{*}L^{*}\) is cyclic, say with circumcircle \(\omega\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAH2AjADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKx9Q8TaZp921kZJbm+UAm0tImmlGeRuVQdoPq2B71e0+6mvLRZ57Geydif3M7IXAzwTsZhz9aALVFYl3oFxqF3JJc69qa2zH5bW1dYFUf76KJD/31WpZ2cVhaR2sHmeVGML5srSN1zyzEsfxNAGXc+MPD9rcyWrapDLcxsUkgtgZ5EYdQVQEg+2K1bS6jvbWO5iEojkGVEsTRNj3VgGH4ipsY6UUAYc+t6qlxJFB4V1KVUYqJWntlRwD1H70tg+4B9q1rWSWa1jkntzbysuWiLBih9Mjg1NRQBhz6nr8dxIsXh1JYlYhHF+gLLng4I4z6VrWsk01rHJPAbeVly8RYNsPpkcGpqKAMKfxK1tPJHPoOtKiMVEsdssqsAeo8tmOD7jPtWxbXCXdrHcRrKqSKGCyxtG4+qsAQfYipaKAK1tqNleu6Wt5bztGSriKVWKkcEHB4NWay77w1oWpyeZfaPYzy5yJJIFLg+obGQfoa0LeCO1t47eEFY41CICxOAOByeTQBJRXPv8A8JXYuWT+zNVhzkKd1pKB9fnVj/3zW6JMQCWUCLC7nDMPl45yenFAD6KjhniuYUmglSWJxlXRgysPYjrUlABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVPU21IWoGlJatcswXdcswSNe7YUZYj+7kZ9RVbStGksZ3u7zUrq/vZF2tJI22NRnOEiHyqPflvUmgBdVutXjljt9J02KZ3XLXNzOEhi+oGXY+wAH+0Km0u21C3gf+0tQW8ndt2UgESIMfdVck4/3mJ96vUUAGKKKKACiiigAooooAKKKKACiiigAooooAKKKKACgjIwelFFAGE/hLTEuvtWnibS7gtud7B/KWQ/7aco2fVlJrWvbk2dnLcC3muPLGfKgUM7fQEjNT0UAZ+l65pusrIbG6WSSI4lhYFJYj6OjYZT9QK0KqTaZY3F/Bfy2kLXlvkRTlBvQEYIDdcHPTpUeq6jNpkCTpp9zeRbsSi2AZ41x94J1b6Lk+gNAF+iqmnapY6vaC60+5juISSu5D91h1UjqCO4PIq3QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWLqt7qsl2NM0e22TMoaW/uIz5MCn0HHmPxwoOB1YjgEA2JGZY2ZE3sASFzjJ9KwbTSdS1C7h1DXbnYYmDwadaSEQxMOhduDKw98KOy55rYsrZrSyit3uZrl0XDTTEF3PcnAA/IAVYoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooArxWNpDeT3cVtElzOFEsqoA0gXONx74yapTa/a2msrpt6ktq0uBbTygCK4Yj7qsDww/unBPUZFatQXtla6jZy2l7bx3FtKu14pFDKw9xQBPRVVFt9I0vBeUW1rESWdmlYKo7k5Zjge5qW2uoL21iubWaOaCVQ8ckbBlYHoQR1FAEtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFBOBk9KCQBk8CqQbT9e0ltrR3dhdIVJU5SReh5HUHn60AUtL1yTWr+R7G3DaRECovWbHnyZ/5ZDug5y/Qnpnk1tU2ONIo1jjRUjQBVVRgKB0AFOoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArGtNB/szWHutNuPs9ncFmubErmNnPPmR8/IxP3scN1xnmtmigAorE1m21OC6j1fSpJJpYk2T6ez/ACXMYJPy54SQZOG6Ho3GCupZ3SX1lDdRpKiSoHCyxlHXPZlPIPtQBPRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVkX3inQNOlMN3rFlHP/AM8fOUyH6IPmP5UAa9Fc9/wlsc//ACD9F1u+9CtkYFP0acoD9c0f2l4ouP8Aj38PWluD3vdRww/4DGjg/wDfVAHQ0Vz32XxdP/rNV0i0X+7DYySt/wB9NIB/47TjoGqTD/SPFeqe628NvGv/AKKLf+PUAb9Fc/8A8Ijav/x8arrk3/cUmj/9FstH/CE+Hz/rbOWf3uLuaX/0JjQB0FRPdW8f354l/wB5wKxR4G8KfxeG9Kk/662iP/6EDUieDfC8f3PDejr/ALtjEP8A2WgDROpWCnBvbYH3lX/Gnre2jnC3UJPtIKoDwt4eUYGg6WB7Wcf+FMbwj4acYbw9pJHvZR//ABNAGwrKwyrAj2NLWCfA/hMkn/hGNGBPcWEQP57ab/wg/hof6vSYYf8ArizR/wDoJFAHQUUUUAFFFFABRRWJf6rcy63b6NpewzrtnvZmXctvDngf774IA7DLdgCAO1vS7vWpILFpli0lgWvAjESTjtF7IedxzkgY7k1rxxpDGkcaKkaAKqqMBQOgAp1FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVU1O8ksNOmu4rSW7aIBjDDjey5G7aD1IGTjvjHerdFAEFle22o2UN7ZzLNbToHjkQ8MDU9Z+n6RBpdzeyWryLDdSecbfI2JIc7mUdt3BI6ZyepOdCgAooooAKKKKACiiigAorO1PXdL0YINQvoYHk/wBXETmST2VBlmPsAazv7Z1vUuNJ0NoIj0udUfyRj1EQy5+jbKAOirM1HxDpGkyLFfahBFO33IN26V/91Blj+Aqj/wAI3eX3za1rt5cg9bezJtIf/HD5hHsXIrT03RtM0eNk06wtrUNyxijClz6sepPuaAMs+IdTvDjSfDl5Kp6T37Czj/JgZP8AyHS/YPFF6c3WtWunxn/lnp1qHkH/AG0lyD/37FdDRQBzw8GaXLzqMl7qjHr9uunkQ/8AbPIj/Ja17LTbHTYfJsLK2tYv7kESoPyAq1RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADWljR0RnVWckIpOCxAzx68VFb2dtayTyQQpG9xJ5szKOXbAGT68AD8BWPpdncX+t3OuahC8Xl7rawgkHMUQPzSEdmkIB9lC+prfoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK53Rp7jS9Uk8PX0sky7TNp9zKxZpYc/NGxPV0JAyeSpU8ndXRUUARXJAtZSZmgAQkyrjKcdeQRx7g1x/gjXdR1DwtZatqt1Lc3eoh5LazSJFPlhyFPAH8O0lido3DpUXxE8V2Ft4B1pbS/gF5MHsI42fY4kZvLbg4Py7i2emOemKxvENtpvgSDwn4ksrxGgsCmn3DmUE3FpIoXI/vbCFcBeOpoA7e3TWNL0y8u7++F/cAM8cCxbUQZJC5RC7HGBkLzjhR0qPwtrl5rUV2byya2MMrqu8EEgSOuOm3gKBwxOQcheKYfFa6ixi8N2h1ZuhulfZaIfebBDfRAx9cU1PC02ojd4ivzeIST9gtlMFoMnJyoO6T33kg9dooAmn8WWbzPbaPDNrF2h2sllgxxn0eUkIv0zu9jTBp3iDVedT1JNOgPW10zlz7NOwz/3wqH3regghtYEgt4o4YUG1I41Cqo9AB0qSgDN0vQNL0Yu1hZRxSyf6yY5eWT/ekbLN+JNaVFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVSbVIF1qPSVWR7loGuGKgbY0BCgse245x67W9Ku1laRpUllcaheXUiS3l7cF3deixr8sSDPYL1/wBpmPegDVooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKztW1yx0ZIxcyM08xIgtoVLzTH0RByfc9B3IFYWoJf3un3Go+I7ptI0eFDI9jbS/vXUf89ZV55/uR/Tc2cUAedfEX4oXHgb4gvH4fhtLpbmGNtQR23K0qkqANp+V9u0HOeAvHHPpdt4fuNchhu/E87XO9Q40xFMdtFkZw65JlI77yRkcKKZ4U8N28EH9qXmmW9vdz7WgtfKXFjCM+XEvowyWYjqzN2Ara0nVRqf22N4TBc2dy9vNEWzjHKsDxwyFWH1x2oAvoiRxqkaqiKMKqjAA9BTqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMu81SSPX9O0q2jR3mWSe4Zs/u4VGMj3LsgGewb0rUqlb6ZFb6te6lvd57pY4zuxhEQHCr7ZZm+rGrtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFUNV1iy0a2Wa8kILtsiiRS8kz9lRRyx9h/KgC8SFBJIAHJJ7Vzb65e66zQeGlj+zglZNWmXMK+vlL/wAtW9+EHqcYpq6TqHiRhN4hX7Pp5OY9IjfIYdjcMPvn/YHyjvvrpkRY0VEUKijCqowAPQUAZmk6BZ6S8k6mS4vphie9uG3zS+xPZfRVAUdgKy5f+Ko8SfZx82j6RMGm9Li7HKr7rHwx/wBvaP4DVvxJqdzbx2+l6Yw/tbUCY7ckZEKD78zD0QH8WKjvWjpWmW2j6Zb6faKRDCu0FjlmPUsx7sSSSe5JoAuVnLpQj8QvqsUpTzrYQTxbeJCrZRs9iAzj33D+7WjUc6yvbyrA6xzFCEdlyFbHBI780ASUVmeH9TbWNCtbyVBHcMpS4jH/ACzmQlZF/B1YfhWnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4n1C40/QpmsmC307JbWpIziWRgitjuFJ3H2U1sVWurC3vZrSWdCzWk3nxfMQA+xkyR34c9e/PagCwAQACcn1PeloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiucudWu9bupdO0CQRxxMUutUKhkhI6pEDw8nr/CvfJ+WgCxquvtBef2VpVuL7V2UN5W7bHAp6PM38K+g5Zuw6kO0nQFsrltRv5zf6tIu17p1wEX+5Ev8Cew5PUknmrelaTZ6NZ/ZrOMgMxeSR2LPK56u7HlmPqavUAFV76+ttNsJ768lWK2gjMkjt0VQMmrFcvcf8VR4j+xj5tI0mVXuD2uLoYKx+6x8Mf9raP4SKAJ/DdjczSXGv6nE0eoX4ASF+trbjlIvrzub/aJHQCuhoooAKKKKAKljp0GnvdtBuAupzcOpOQHIAOPQEjP1J9at1i+IL24019KvElK2ovo4bpeMMkuY1+mJGjP0zW1QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWJoN1Pfahrdy8rNbLe/ZrZD0VY0VXI9/M8wfgK26gtLO3sYTDbRCOMyPKVHdnYux/FmJ/GgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApCQoJJAA5JNI7pFG0kjKiKCzMxwAB1JNcqBL42YM4eHw0D8qnKtqPue4h9ur9/l+8AOa5ufGDtFYTSW2gAlZbyMlZL31WI9Vj9ZByei8fNXSWlpb2NpFa2kMcFvEoSOKNdqqB2AFSoixoqIoVFGFVRgAegpaACiioL28t9Osp727lWK3gQySSN0VQMk0AZXiTVLi1hg07TSp1bUGMVtuGREB9+Zh/dQHPuSo71f0nS7fRtLg0+1DeVCuNznLOxOWZj3Ykkk9yTWV4bs7i5mn8Q6lE0V7fKFhgfra2w5SP2Y/eb3OOiiuioAKKKKACiiigCvfWNvqVnJaXcfmQSAblyR0ORyORyAasUVh+GLmaWzvra5leWaz1C4hLu2Tt3l48n2jdBQBuUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJ4wuZrXwhqj20jRXLwGGGRDhlkf5FIPqCwraUbVC5JwMcnJqK5tYLyHybmJZY96vtYZG5WDKfwIB/CpqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmu6xozuwVFGWZjgAepp1coSfGtyyD/kWoXwx/6CLg9B/wBMQf8Avsj+6PmABEfxrN5sysnhpGzFGeDqJH8bf9MfQfx9T8uAerAAAAGAO1IAAAAAAOgFLQAUUUUAFcvd/wDFUeIv7PX5tI0qVZLs/wANxcjDJF7qnDt77B2YVd8R6rcWVvBY6dtbVtQYw2gYZCcZaVh/dQcn1OB1YVd0jSrfRdLgsLbcUiBy7nLSMTlnY92Ykkn1NAF6iiigAooooAKKKKACoYbSC3luJYYlR7mQSzMP42CqmT/wFVH4VNWG880XjuCAyv5NxpkjiPcdu6OVATjpnEo5oA3KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDC16aVNZ8NQxSuizai/mhWI3IttO2D6jcFOPat2opbaCaaCaWJXkgYtExHKEgqSPwJH41LQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXPa3fXV7fDw/pMrRXUiB7u7X/lzhPGR/00bBCjtgsemCAV7+STxXqE2j2zsmj2zbNRuEODO3e3Q+n98j/dHJO3pooo4IkiiRY40UKiIMBQOAAOwqHT7C10uwhsbKERW8K7UQdh9e57knkmrNABRRRQAVDd3cFjZzXd1KsVvAhkkkc4CqBkk/hU1cvff8VP4g/stfm0nTZFkvj2nnGGSH3C8O3vsH94UATeHLSe8uJ/EeoxNHd3qhLeBxzbWwOVQjszfeb3IH8IroqKKACiiigAooooAKKKKAComtYHu4rpolNxEjRpIRyqsVLAfUqv5CpawtZmli8R+HESR1SW4mR1DEBh5DkZHfkUAbtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBhatNLH4n8PIsjrHK86uoYgNiIkZHfpW7UUltBNNDNJEjSQMWiYjlCQVJH4EipaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqtqF/baXp899eSiK3gQu7HsPYdz2A7mgCjr2sPpkEMFnEtxqd4xis4CeGbGSzeiKOWPpwOSAZdE0hNHsTF5rT3MzmW6uXGGnlPVj6dAAOgAAHAqnoFhcyzza7qkRj1C7ULHA3P2SDqsX+8fvMe7cdFFb1ABRRRQAUUVFc3MNnazXVzKsUEKGSSRzgKoGST+FAGV4j1WewtYbTTwr6rfP5NmjDIVsZaRh/cQZY+vA6kVc0fSoNF0uGxgLOEyXlc5eVycs7HuzMST9ayvDltPf3U3iW/iaO4u08u0gcYNtbZyoI7O5+dv+Ar/DXR0AFFFFABRRRQAUUUUAFFFFABUUttBNNBNLEjyQMWiYjlCQVJH4Ej8alrC1OaUeLdBt0kdUZbmR0DEBgqqBkd8FxQBu0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGF4mmktk0m4jkZFTU7dH2nG5ZG8vB9RlxW7UVxbQXUYjuIklQOkgVxkBlYMp+oYAj3FS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXMqP8AhKNf3n5tH0qbCelzdKeT7rGeB6vn+4KseIr65ZrfRNNkMeoX+czL1toBjfL9RkKv+0w7A1rWNjbabYQWVpEIreBBHGg7Af560AWKKKKACiiigArl9Q/4qbXv7IX5tL091l1Bu003DRwe4HDt/wAAHc1oeItWm060it7FVk1S9fyLONum/GS7f7CDLH6Y6kVZ0bSYdF0uKyhZpCuWkmf780jHLu3uzEk/WgC/RRRQAUUUUAFFFFABRRRQAUUUUAFRNbQPdR3LRIZ4lZEkI5VWxuAPvtX8hUtYNhLJceNdaPmOYbe1tYFTd8ofMrscepDp+VAG9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQXtt9ssLi13snnRNHuU4K5BGR+dZ/hW9k1HwnpV1Nnz3tY/Oz1EgUBx/30DWvUcMENtF5cESRR5LbUUAZJJJwPUkn8aAJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKrX99baZp9xfXcgjt7eMySOewAz+P0qzXNX3/FQ+JY9MHzadpbJcXnpJP96KI/7vEh9/L9TQBP4bsLgLcazqUZTUtR2u8bdbeIZ8uH/gIJJ9WZj6VvUUUAFFFFABUdxcQ2ttLcXEixQxIXkkc4CqBkkn0xUlcxqf/FS67/YifNpliyy6k3aWTho4Pp0d/baOjGgCTw7bzaldy+Jr6Nkluk8uxhcYNvbZyMjs7nDN6fKv8NdHRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUUdvDDLNLFEiSTsHlZVwXYAKCfU4AH0AqHVL+PStJvNRm/wBVawPO/wBFUk/yqt4btJ7Dw1pttdMz3SW6eezHJMhGXP8A30TQBqUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXPuxsfHsZJIh1SxKcngSwNkD6lZW/7910FMk8pR5suwCPLb2x8vHJz24zQA+ikBDAEEEHkEUtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZuu6r/AGNpMt0sXnXBIit4AcGWZjtRPxYjJ7DJ7UmgaT/Y2kx2zy+dcsWluZ8YMszHLt9CTwOwwO1Z0X/E98XyTHmw0UmOP0kumX52/wCAI20e8jjtXSUAFFFFABRRTJporaCSeaRY4o1Lu7HAVQMkk+lAGX4h1aXTLOOKyRZdTvH8iyhboXIyWb/YUAs3sPUip9F0mLRdLjs43aVwS807/fmkY5d29yST+nQVl+HoZdVvZPE15GyG4TytPhcYMFtnOSOzSEBj6AIOxrpKACiiigAooooAKKKKACiiigAooooAKKKKAI5oop4mhmRJI5AVZHAIYdwQetSVz0f/ABMfHc0nWHSbQRKe3nTEM34qiR/9/DXQ0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU2SNJonikUOjgqykZBB6inUUAYPhLz7fRm0u5D+bpkzWYdwf3ka4MTZ75jZMn1zW9UF1e21kITcyiMTSrDGW6F26D8en1qegAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKy/EOqPpOjSzwIJLtysNrEekkznagPtkgk9gCe1alc4P+Jz40J+9Z6IuPZruRf5pE3/kb2oA09E0tNF0e2sEkMrRqTJK3WWRjudz7sxJP1rQoooAKKKKACuY1X/ipNaGgpzptoVl1Nh0kb70dv+PDMP7u0fx1o+INWk0uxRLSNZtSu3EFlAx4eQgnJ/2VALMfRT3xUuiaTHoumJaLI00pJknncfNNKxy7t7k/kMAcCgDRooooAKKKKACiiigAooooAKKKKACiiigAqOeeG1t5bi4lSKCJC8kjsFVFAySSegAqSsHxLbT6obDSEhdrW6nD3sm35VhjwxQn1dtq47qW9KAN0YIyMc85HeloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAoa1pcetaPc6fI7R+cnySL96Nwco491YBh7in6VLezaVavqUAgvjGBPGrAqHHBwR2J5HsRVys/U9Wj0qSy8+NvIubgW5mH3YmbOzd7M2Fz6sPWgDQooooAKKKKACiiigAooooAKKKKACiimSzRQRmSaRI0HVnYAD8TQA+isKbxp4Yhcxtr+mtIOscdyrv/AN8qSaZ/wmuiH/VvfzD1g0y5kH/jsZoA6Ciuf/4THTf+fPXMev8AYd5/8ao/4TTRR/rG1CEes2l3MY/8ejFAHQUVhReNfDEriMa/pySHpHLcLG3/AHyxBrZhnhuIxJBKksZ6MjBgfxFAFHX9csvDmiXWrX7MtvbrkhRlnJOFVR3JJAH1qjp1tr+oWy3mp6g+myyjctlZpGwhU9Fd3Vi7juRtHoO5zPiVYzXWj6TcrG8trp+sWt5eRopYmBGO84HJAyGI9FNdE+t6ebdJLW5iu3lXdBHbyB2l9NuD09+g6kgUAY+n63qVj4c1jVdfCE2tzOsKQx7d8cZ2LgHJy7KSOv3wB2rT8N6ZLpWiQw3TB72UtcXbjo0znc+PbJwPYAVQ1My6nrmjaLNsbygNRvvLzs/dkCNeexl+Yf8AXI10tABRRRQAUyWWOCJ5ZXVI0Us7scBQOSSfSn1zGr/8VHrI8PR86fb7ZtUYdHB5S3/4F95v9kAfx0AP8PxSaxfP4nu0ZVlQxabE4wYrcnO8js0hAY+ihB1BrpKMYGBRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjMqIXdgqqMkk4AFVtNv4dV023v7bf5FwgkjLrtJU9Dj3HP41T8Q6bc6xpy6dFIsdvcSql4xJDGDkuq47tgL2wGJ6gVqqqooVVCqBgADAAoAWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqrqOn2+q6dcWF2m+CdCjgHBwe4PYjqD2NWqKAK1hDcW2n28F1c/ariOMLJPs2eYQMbiMnBNWay9efU4LBbvSx5s1tIJZLUAZuYwCGjBPRsHIPHzKAeCauWF9banYQX1pKJbedA8bjuD/I+3agCxRRRQAUUUUAFFY2o+JbSyuzYW0U2o6mAD9jtAGZQehdiQsY92Iz2zVUaTrWs4bWdQNjbn/lx0yQqSPR5+HP/AAn40AXdS8S6VpdwLWe68y8IytpboZp2HtGgLY98Y96p/2j4l1H/jx0eHToj0m1OUM/1EUROfxdT7Vq6bpGnaPbmDTrKG1jJywiQAsfVj1Y+55q7QBz3/CO6hdj/iaeI7+XPWKyC2kf4FcyD/vunxeC/DccglfR7a5mHIlvAbiQf8DkLH9a3qKAI4YIbeMRwRJEg6KihR+QqSiigAooooAZLDFPGY5o0kQ9VdQQfwNYs3gvw3NIZRo1pBMes1qnkSf99x4b9a3aKAOe/wCEcvbQZ0vxFqUGOkV2wu4/xMg8z8nFZera3rfg3R7/AFW/0Swv4IIzJJPprmF2I7tG4OB6kOxAzxxXa1zPj68kt/CF1a2+w3mpldOtVfoZJjsz+ALN9FNAHGfCj4j2XjDVtblvxBZatcSxeTC0w+eFVIVEzgnad7H3kr1mudtvAnhe20JNGGh2L2SgZWSBSWbGN5OM7v8Aa61mT+E9d0RTJ4R1+VI16abqzNc2/AwArn94g/Ej6UAdrRXCWXxAvLW9XTvEnh67sLw52m3/AH6yAd1UfM3rhN5HfFdVYa9pOqQSzWWo28yQgmXDgGLHXeDyv4gUAR+INXfSbBfs0Qn1C5cQWcBOPMlOcZ9FABZj2VTT9D0hNF0xbbzTPOzGW4uGGGmlblnP1PQdgABwKzNAjfW9QfxNcowidDFpkTjHlwE5MhHZpCAfZQo65rpaACiiigAooooAKKKKACiiigAooooAKKKKACqupahbaTptxf3b7IIELuQMk+wHck8AdyQKtVSv9Lt9SktGud7Lazi4SPPys4B2lh3wTke4B7CgB2lzXlxplvNqFulvdSJvkhVt3l55Ck9yBgH3zVuiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACquLHSLSST9xaWwdpJGOEQMzZLHtksc59TXIeFfP1bxb4nu2vr59Osb5bS0gN1JsWREBlJGeRubGDkDHStDxfNrIEFtp9nHc2s5WOdJEBVsnBU5b5gR1UgA93XuAdTRWD4Ys9U0y1On3rGa0jjRrWdz+8UEcxOMnlegbJyCASSCTb1nW4NIjiXy5Lm8uCUtrOHBkmYdcZ4AHUscADqaALV/qFppdlJeX1xHb28Yy0khwB6D3J6AdTWEDrPibkG40XSD7bby4H/tFT/33/uGp9P0Ke4vY9W1+SO5v0O6CBMmCz/3AfvPjrIeTzgKDit+gCnpul2Oj2gtdPtY7eEEsVQcsx6sx6sT3JyTVyiigAooooAKKKKACiiigAooooAKKKKACuRvGOsfEywsgSbbRLVr6bBBXz5cxxAj1CCY/wDAhXWO6RRtJIwVFBZmJwAB3rjfhwX1HTtT8TTKRJrd9JPHuXDLAn7uJT9FTP40AdpRRRQBV1DTbLVbNrS/tormBuSki5GR0I9COxHIrzLxHoBvNZGk/Zpdc0uzCS3z7A19bxHOIEmyGcMOSv39g6ksteh6/qzaRp4aCIT31w4gs7cnHmyt0B9FABZj2VSe1O0LSF0bTRA0pnuZGM11cMMGaZuWc+noB2AA6CgDE02PUmsUu/DniCLU7I8C31JclSOCnmqA6EdCHVyO9W/+EqNj8uvaXd6ZjrOF8+3+vmJnaPdwlSaloEovX1bRJks9UIHmhh+5uwOiyqO/YOPmHuPlNnRtci1XzbeSF7TUbfAubOUjfHnoQejIcHDDg+xBAAL1peWt/bJc2dzDcQOMrLC4dW+hHBqesS78J6TcXL3cEUlheuctdWEhgdj6tt4f6MCKg8rxTpf+rntNbtx/DOPs1xj/AHlBjc+21PrQB0VFYEXi/TUlWDVFuNHuGO0R6inlqx9FkBMbH2Via3gQwBBBB5BHegBaKKKACiiigAooooAKKKoXur29lfWdiVklurtiI4ogCwUfekbkYRcjJ9wBkkCgChr1xe3dxFoWmNLDPcpvuLxV4toM4JU9PMbkKO3Lfw4O1bwJbW0UEQIjiQIoLEnAGByeTUlFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVdRvk02xkunhuJggJEdvA8rscdAqgmrVFAHnHg3VX8NeAIGvNJ1mfWLhpbu4totMn3vNI5YqSU2jqBknHFegWa3CWUC3bh7kIPNZRgFsc49s1PWbrWsRaNYiZonnuJXEVtbR/fnlPRB+RJPQAEngUAY/j24uJfDlzoumTyJrOpxNDaLCfm7bnJ/hQA8t2yMZJAPmvwz8M+KvAmpT2uptp8N1qAC2ouwZFk2liyLMjfIxzu2kHcOR90163oWjS2Jm1DUZFuNYuwDcTL91AOkUeeiLnj1OSeTWnc2lvexCK6gjmjDK4WRQwDKcg89wQCKAMb+19etv+Pzw00w7tp15HKPriTyz+QNH/CY6RFxffa9OPc31pJCg/7aFdh/Bq1L3U7PTntlvJhCLiQRRsynaXPRS3QE9BkjJ4HNW6AKtjqdhqcXm2F9bXcf9+CVZB+YNWqyr7wzoepS+beaRZTTdpmhXzB9Gxkfgaq/8IrHB/yDtX1ixPYJeGZR9FmDgfQCgDforA+x+KbX/Uatp96g/gu7Qxuf+Bo2P/HKP7X162/4/fDTyju2nXkco+uJPLP5A0Ab9FYH/CZaRFxfG7049zfWkkKD/gZXYfwatWx1Ow1OLzbC+truP+/BKsg/MGgC1RRRQAUUUUAFFFFAHG/E/VH0/wAGXFrbjddagfssaA4LAglx7ZQMAfVhXSaNpqaPoljpsZylrAkIb+9tUDP44zXF65/xPviFp9p962srhIcdt6qLmQ/hstV/4Gw9a9CoAKR3WNGd2CqoyWJwAPWlrmdbJ8QaqPDcJP2RFWbVXH/PM/dg+r45/wBgH+8KAF0JG13Um8TXCkQFDFpcbD7sJ+9Lj+9JgEeiBfU10tIAFUKoAAGAB2paACsnWtDTVPKuYJjaanbZNteIuSmeqsP4kPdT168EAjWooAx9E1p795rG/hW11a1A+0W4OVYHpJGf4o2wcHscg4INbFZGuaM2pJFdWcq22q2hLWlyRkKT1Rx/EjYwR9CMEAh+h6yur2snmQm2vrd/Ku7VjloZAM4z3Uggq3cEGgDRlijniaKWNZI3GGRxkEehFYJ8IWlqS+iXV1oz9dlo4MB+sLAoP+AgH3roaKAOd+2+JtL4vNOt9WgH/LbT28qXHvFIcH8Hz6Cren+J9I1G5FpHdeTe45tLpGgm/wC+HAJHuMj3rXqpqGmWGrWxt9Rsre7hznZPGHAPqM9D70AW6K53/hG7zT+dC1q5tVHS1vM3cH0+Y+Yv0VwB6Uf27q2m8azocrRjrdaYTcp9THgSD6BW+tAHRUVQ0zWtM1mNn06+gudhw6xv8yH0Zeqn2IFLq15d2dlusbFry6kYRxRhtqgn+J2/hUY5PJ7AEkCgC9WbpujRafdXd68r3N7dvmS4kxkICdsaj+FFB4A7kk5JJpNG0ubT4pZby8e8v7lg88xyFz2VFzhUHYde5JJJrToAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIrm5hs7Wa6uZVighQySSOcBVAySfbFYOhW02qXp8SahE8byIUsLaQYNtAf4iO0j4BPoNq9jluoj/hItfXSBzpunsk1+e0svDRw/QcOw/wBwdGNdLQAUUUUAQ3dpb31pLa3cMc9vKpSSORcqwPUEVV0jTJNJtntTezXVurf6OJ/meJMfcL9XA7E846k9a0KKACiueudDvNOvJdQ8PSpG8zmS40+diLe4YnJYEZMTn+8AQe6k8joBkgZGD3FAC0UUUAFZV94Z0LUpfNvNIspZu0zQr5g+jAZH4GtWigDA/wCEVjg/5B2saxYnsEvDOo+izBwB7AUfY/FNr/qdW0++QfwXdo0bn/gaNj/xyt+igDA/tjXrX/j98MvKO7adeRzD64k8s/kDR/wmWkRcXxu9OPc31pJCg/4Gy7D+DVv0UAVbLU7DU4vNsL62u4/78EqyD8waXUb6DS9Nur+5bbBbRNNIfRVBJ/lVO+8MaFqUvnXekWUs3aYwqJB9HAyPwNct4g8MwyXul6Hp+p6rbi9lMs6G8adVgiwxIWXePvmJcdPm6dqAJPCljOviGM3i4u7XTjcXXtcXkpkdf+AiFVHsRXdVwXhy28S/ada1C11GwvFm1B4f9MtmR3EIEX30bAG5G42HnJ74q9rnivXPDmhX2pX/AIYMy2sLSFrG9WVOB1beEYL6kK2Bzg0Abmvat/ZGneZFF595M4gtLfODNM33V9h1JPZQT2o0HSP7H07ypJfPu5XM13cEYM0zfeb2HQAdlAHavLPh78TbTxbq15rHiQRae9iiw2nDfZ4w+S7FzwHICjJI4HHVq9cstSsNTi82wvba7j/vwSrIPzBoAtUUUUAFFFFABXP69ZXNpdJ4g0uEyXtumy4t163cGclP99eWQ+uR0Y10FFAEFle22o2MF7aSrLbzoJI5F6Mp6VPXM2//ABTfiT7GeNK1aRpLf0guuWeP2Egy4/2g/wDeArpqACiiigAoqrqOp2Wk2b3d/cx28C4Bdz1J6ADqSewHJpml30mo2huXsri0VmPlpcAK7L2Yr1XPPB59QDxQBzWuJYeI9U+xabptveX9u4SfUiWRbId1EqEOZMfwKwx/EV4zof2V4g0znTNYW9hHS21Vcn6LMgDD6srmt+KGKBNkMaRpknaigDJOSePc5p9AHO/8JV9h+XXtMu9Lx1n2+fb/AF8xM7R7uErctby2v7ZLmzuIbiBxlZYXDq30I4NTVh3XhPSZ7l7u3ik0+9c5a5sJDA7H1bbw/wDwMEUAblFc75finS/9XNaa3bj+GYfZrjH+8oMbn/gKfWnxeL9NWVYNTWfSLljtEeop5asfRZMmNj7KxoA36KQEMAQQQeQRS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWbr2q/2PpE12kfnT8R28OeZZWIVE/FiOewye1aVc43/ABOfGip1s9FTcfRrqRePxSM5/wC2o9KANHQdK/sfSY7Z5POuWJluZ8YM0zHLv+JPA7DA7VpUUUAFFFFABRRRQAVXvrNL+zltZJJo1kGN8ErRuvOQQynINWKKAMXTY9dsbxbS9ki1GyIOy94jmTHQSIBtb/eXH+73raorO1XSF1RYmF5d2dxCSYp7WXayk9cqcq44HDAigDRorO0qPWIRLFqs9pcquPJuIUMbOOc705AI45BwcnhauC5t2uWtlniNwih2iDjcFPQkdcUAS0UUUAFFFFABXN6TIl7r+t65K2Le3P8AZ9ux6BYsmVh9ZCVP/XIVpa/qZ0fQby/VPMlij/cx/wDPSQ/KifixUfjWJq1k3h/4XXtjFJvuI9PeHze8kzqQXPuXbP40AXvBMbp4M0uSRdslzD9qkB6h5SZG/VzVbxC8uuXp8N2YDxeWJtSYuVHlHO2HcAcGQgg8HCBvUVo6rfx+HdEjEEJmm+S2s7YHBmkIwiew4yT2AJ7UaPpyaBpMj3lyj3Eha5vrtvlEkhHzNz0UAAAdlUDtQBheFNesf7N1xLXQrTRl0q5eCW2jZV3SgZzhU6NlcEAk56VetNEsvEFut7rnhWys7pgGUMUkmTPq6gbT9Ca5idTpfxU07W7m2MOmeIB9lCPkFbmNcwyOvQMy7lA6jjODwPTaAOf/AOEUSD/kHazrNj6BbszqP+AzhwB7ACj7J4qtf9TqunXyD+C6tGic/wDA0bH/AI5XQUUAc/8A2xr1r/x++GZJR3fTryOYD3xJ5Z/IGj/hM9Hi4vmutOPc39pJAg/4Gy7D+DV0FFAFWy1Kw1KLzbC9trqP+/BKrj8watVk3vhfQdRl8670eylm7TGFRIPo4+YfnVX/AIRRIP8AkHazrNj6BbszqP8AgM4cAewxQBo61pces6TPYu7RM4DRTL96KRTuR191YAj6VD4e1STVtJWS5RY76B2t7yJeiTIcMB7H7w9VYHvVCePxJpdvJcNrWlXNtCpd2vrYwFVAyS0iNtAx/sV45qnxT8SaX8S0Gm6RD9m1FoFkgjWSRb0j5fMiZ1Q5IIXOMfIOoFAH0K7rGjO7BUUZZmOAB6msvTvENprF40WnRz3NsiktfIo+zls/dVifnPuoIGOSDWZfeI/Dd9bfZtdgltodwZo9UspIosg5GWddh59yK3rDUNP1CAPp15a3MIAAa3lV1A/4CcUAEumWU+oQX81tHJdW6lYZHGTGD12+hPqOat0UUAFFFFABRRRQAUyWGOeJopo0kjcYZHUEMPQg0+igDnj4RtbQl9Du7rRn67LRgYD9YWBQf8BAPvSfbfEul8XunQatAP8AlvpzeVLj3hkOPycn0FdFRQBkaf4n0jUrn7LFdeVe4ybS5RoZx/2zcBiPcAj3rXqpqGl2GrW32fUbK3u4c52TRhwD6jPQ+9ZH/COXun86FrdzbKOlre5u4Pp8xEi/QOAPSgDoqK53+3dV07jWdDlMY63WmE3Mf1KYEg+gVh71qaZrWmazGz6dfQXIQ4dY3BZD6MvVT7ECgC9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAV7+9g03Trm+uW2QW0TTSN6KoJP6Cs3wrYz2egxPeLtvrtmu7seksh3Ff+A5Cj2UVB4s/wBMTTNGHI1G9RJQP+eMeZXz7EIE/wCB10NABRRRQAUUUUAFFFFABRRRQAUUUUAFZ2p6Dpes7Df2Ucskf+rmGVlj/wBx1wy/gRWjRQBT02wOm2v2f7ZdXShiVa6k3uo/u7sZI9zk89ao3uvTadeSJc6LqTWgxtu7WMTqRjuiEyD/AL5P1raooAr2N9b6jaJdWrl4XzgshU8HByGAI5HcVYorDufC1lNdS3UF3qVncSsWdra+kVST38skp/47QBDrH/Ey8UaRpI5itydSuR2+T5YlP1clh/1ypfGJD6VZ2pOPtOpWiHP90TI7f+Oo1V/Bdu8sWoavNdTXbXk5ignn272t4iUTO0AYJ3uMAcPXk3xbn8c6l48tPD+nOLq1KiSGCzjIUFvMH74knB2bgeQMcgDJoA9c0UHxBqp8RyjNnGGh0pD0KHh5/q+ML/sDP8ZrS1fw/p+uGH7ety4hdXRYruWJdyncpIRgCQQCCatWP2lbG3W5treCYLteK3kLxx4HG0lVJHTsKzJ9X1yK4dE8MTTRhyqyJeRDcAThsEjGf60AWNc8N6X4jit49UhllS3lE0QS5ki2uOjfIwyR2J6dq0oolhhSJS5VAFBdyx/Ekkn6morW4ee1hkmt5LeV+Gib5ih5yCRx269Dx61kTarr/nultoVo8fmMkckupBN+CewRiOhOKAN+iobSSeW1je5jijnI/eJFKZFVu4DELn8hXMa9d3+kRPeav4w0/SbBpNsZSyCPz0XdI7hmx6L68UAdbVLUdX03SIvN1LULWzj7NcTLGD+Zp2nTRSafamK+N+rxBkusofOHHzZQBecjoAKqWnh3SbSd7q10u0triUFnmWFfO3HqS/OaANGO4imto7iJw8Uih0ZeQwPQ/rWD5XivUiRLcWWiw7sYtl+1TMPUO4CL9Cjc/r0QVQxYKNxABOOT/nNLQBx3i2+1K113wzpmmX7x3Go3jrJvijcLCiM0jjK8NjAB6c9DWvr2kTah4cltoZjJfxKJrWeUKCJ0IdCcAD7yjOAOM1yK+INF1D4uz3cur2C2ejaWIkd7lAvnTPuYgk4OEQA+ma7DQ9ftvEL3lxp00dxp0MggjuE5Esg5cqejKMqAR3DUAW9I1KLWNHs9RhBWO5hWUK3VcjOD7jofpVa98L6DqMvnXej2Uk/abyVEg+jj5h+dVPDQFle61o3RbW7NxCP+mU/7z8hIZVHstdDQBz//AAiiQf8AIO1rWbH0C3ZnUf8AAZw4A9hij7J4rtf9Tqum3yD+C6tGic/8DRiP/HK6CigDn/7Z161/4/fDEkoHV9OvI5gPfEnlt+QNH/CaaNFxfPdaae5v7SSBR/wNl2H8DXQUUAVbLUrHUovNsL22uo/78EquPzBq1WRe+FtB1GXzrrR7KSftN5KiQfRx8w/Oq3/CKJB/yDta1mx9At2Z1H/AZw4A9higDoKK5/7J4rtf9Tqum36D+C6tGic/V0Yj/wAco/tnXbX/AI/fDEsgHV9Ou45gPfEnlt+QNAHQUVz/APwmmjRcXz3Wmnub+0kgUf8AA2UIfwNa9lqNjqUXm2N7b3Uf9+CVXH5g0AWaKKKACszU/Duk6vIs15ZI1wgwlzGTHMn+7IpDL+BrTooA53+y/EGmc6ZrCX0I6W2qrk/RZkG4fVlc0f8ACVix+XXtMu9Lx1nK+db/AF81M7R7uEroqKAIbW7tr63S4tLiK4gcZWSJw6t9CODU1Yd14S0me4e7to5NOvHOWubCQwOx9WC/K/8AwMGodninS/uS2mt247SgW1xj/eUGNz+CD3oA6KisCHxfpgmW31IT6RcscCLUU8oMfRZMmNz7KxrfBBAIOQehFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc+o+2fEB2PKabpwUem+d8n8QsC/g/vXQVz3hr9/qHiG+PPnak0SH0WKNI8f99K5/GuhoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsXxXez2mgTJZvtvrtltLU/3ZZDtDf8ByWPsprarnbg/2n44toetvo9ubl/Tz5QUT8VQS5/31oAs3tzbeFfDkENrAZPJSO0srVThpXxtRB+XJ7AEngVh2Gktp3i3RYbiUT30tre315OBjzJiYE49FAfao7KoFX9HH/CRaufEMnNhAGi0tT0YHh5/+BfdX/ZGf4zUzfP8AEOL/AKY6U/8A4/Kv/wAboAwfiQLa61DwtpcuxHutSEkkh4It4lLyru6gNhAfXNadkuleNdJCQRqui29w0awKpicyRMQQw4MYBH3eCQRnAJBqnT9S1D4o22q3mizrpljYPBayySQsFmd8tJgOWA2qoHGeT0o0Ww1XRPH+umHSp/7A1Mpdef5sW2O5xiQhd+7awCknGcjpjmgDsYIIraBIII1jiQbVRRgAe1SUzczqdgxlcq7DIyfbOf8A9dKYwxO75hkEKQMAjkfrQA07CwxHuKP6D5SR159j29a8/wDH3gjTvibptvZ2mu28N1YTPJmDEqgOeQyhuvHX1B9a9Erz3RwIfimL88DWtLmcMOj+TOojP/fp1NAHRaBpWn+B/CenaVJqKrb2a7PPuHCCRiST1PHJJAzxj2rbiZZYo5YpxJG3zq6kEOp5GCO3IwfauF10DX/HvhW0YB7eOSbUgnpHEu1HP+9JIpHso6HNd/QA0CTjLKfmOfl7c4HXr0oBk4yq/eOfm6DnHbr0p1FADQzcZjPLEdRwOef8+tAfplWBLFRx6Z546DinUUAc5cuLTx5p1wMhNQs5rR8gjMkTCSP/AMdM9dCHRhlWU5JXg9x1H6GsDxX+5TR78cfZNUtyT6CUmA/pMa6AgEgkA45HtQAtFNESDGEUYYsMDoTnJ/U/nQI1GOW4Yt949Tn9Oen+FADqKaEIx+8bhiT0568dOnP6UAOMfOD8xJyOo5wB+n5UAOopo8wYztPzHJ6YHOPx6f54oDPxlByxBwc4HOD/AC/OgB1FNDnjKMMsR2468/Tj9aBIpxw3LFRlT1Gf046/40AOrIvfC2gajL511o9lJP2m8lRIPo4+YfnWqJYzjDr8zFRz1IzkfofypwIPQ5oA5/8A4RRYP+Qdres2PoBdm4Uf8BnDgD2GKPsniu0/1OqabfoP4Lq0aFz9XRiP/HK6CigDn/7a121/4/vDEsgHV9Ou45gPwk8tvyBo/wCE00WLi+kudNPc6haSQKP+BsoQ/ga6CigCtZajY6lF5tje291H/fglVx+YNWayL3wroGoS+ddaPZPP2mEKrIPo4ww/Oqv/AAiiwf8AIO1vWbH0AuzcKPwnDgD2GKAOhornvsniy0/1OqaZfoP4bq0aFz9XRiP/AByj+2tdtf8Aj+8LyyAdX067jmUfhJ5bfkDQBvTQxXELQzRpJE4wyOoIYehBrBPhG1tCX0O8utGfr5dqwMB/7YuCg/4CFPvR/wAJrosXF9Jc6ae51C1kt1H/AANlCH8DWxZajY6lF5tjeW91H/fglVx+YNAGN9u8S6Zxe6bBqsA/5b6c3ly/UwyHH5OT6CreneJtI1O4+yw3YivcZNpco0M4/wC2bgMR7gYrXqpqOl6fq1v9n1Gyt7uHOQk0YcA+oz0PvQBbornf+EcvdP50PW7m3UdLW9zdwfT5iJF/B8D0o/t7VdO41rQ5vLHW60wm5j+pTAkH0CsB60AdFRVHTNZ0zWYmk06+guQhw4jcFkPow6qfY4NXqACiiigAooooAKKKKACiiigAoooJwCT0FAHP+Cvm8LxT97m4ubkn18yeR/8A2augrn/Ao/4oHw8x6vp0Eh+rRhj+proKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBsjpFG0kjBUUFmYnAAHevPdOM2vW5sIy6Sa251LU5Bw0No3ywxezvGiL7ASHg4rR+I2txWWgf2TEfOv9UlS0jtY3AkkRz8+B1GVDKG6AsM1teH9KOj6e6zMs+oznz7uSMYDyEYwueiqFCqOwUUAa8caQxJFEipGihVVRgKB0AFYELD/hYl8CeV0q2A/wCBSzn/ANkP5VvlWOcvgZBG0c49DWBYqo+IWtkKATpljnA6/vLrmgDfBZsHG0ZIIbqfyNCxgbSfmdV27yBntn88CnUE4GT0oAKKit7q3vIvNtp4p48ld8ThhkdRkVLQBS1Y6l/Zsw0hLZr1lKxm5lZEUkHDEqrE4OOMc+orBuPCs97d+G7h3itl0uGWCeGNzIHjdFXYrEDj5FySBx+ddXRQBy2n6PrA8eXmu38NgtvJZR2dusNy7PEqsztkGMA7mK9+NveupoooAKKKKACiiigDn/HGV8E6tOOttAbkfWIiT/2WugrI8VR+d4P1uI9HsJ1/ONqvadJ52mWkp/jhRvzUUAWaKKKACiiigAooooAKKKKACm+Wny/IvyksOOhOcn9T+dOooAaI1GMAjDFsA45Oc59epoCYxhmADE9c5znjntz+lOooAaFYY+cn5iTkDkc8fy/KgCTjLKfmOfl7c479elOooAaDJxlV+8c/N0HOD069OKAzcZjbliOo4HPP+fWnUUANEg4yrDLFR8vpn8hxQJEOOcbmKgHjJGf8DTqKAGh1YZVgRkjg9x1H6Gsm98K6BqEvnXWj2Tz9phCFkH0cYYfnWuVBIJAJByPakEaDGEUYYsMDuc5P6n86AMD/AIRRYP8AkG63rVj6AXf2hR+E4cAewxR9l8WWn+p1TTL9B0W6tWhc/V0Yj/xyt8RgY5bhi33j3z+nPT/CgIRj943DEnpz146dOf0oAwP7a121/wCP7wvNIB1fTruOZR+Enlt+QNH/AAmuiRcX0tzpp7/2hayW6j/gbqFP4E1vgOMfOD8xJ+XqOcD+X5Ug8zjIU/Mcnpgc4+p6UAYs2neG/FAW8UWl3Iowl5aTYlQf7MsZDD8DUX9l+IdM50zV0v4R0ttUX5voJkGR9WVzVi88LaFqEomu9EsnnLEeekSrIo553gBh26HvVYeFxBj+ztZ1ywJYgKLr7QoxntMJABx2x17UAL/wla2Py69pt3pWOs7L51v9fNTIUe7hK3LW6t723S4tLiKeBxlZInDKw9iODWEIfFdrjydT02/QsVCXVm8DkjPV0Yjt12fzrCubGRLg3T+Frmyu5GIa88PahHlmGc7lby/M6Hhkbp04oA9AorzweM77R/8Aj7ukuoF6jVLSTTph/wBtCvkufpsHvW5pvj/w/qOxZLsWUrnCrdFVVj6LICY3P+6xoA6eioZbu2gkhjluIo3mO2JXcAufRR3/AAqagAooooAKbIpaJ1HUqRTqKAMHwQQ3gHw4w6HS7Y/+Qlrern/A3HgfR4v+eNssH02fJ/7LXQUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUk1axk1mTSUuFa+igW4eEdVRiQCe3JB4pdV1GLSdNmvJuVjHyqDguxOFUfUkCuA0Z7eL4xRvHcpcS3ugubiVM4eZZwe/YB8D0AA7UAYurfBvV9S+LD+JxraRafJOs5Kk/aEwANgBUrjjAJ7dQa9F/4Rm5/6GjXP++4f/jVdBRQBz/8AwjNz/wBDRrn/AH8h/wDjVYdn4euD441iH/hI9ZBWws3MgeLc2XuBg/u8YG3jjua7yuftPl+Ier/7WlWR/KW6/wARQAf8Izc/9DRrn/fyH/41Wdr3gi81fQL/AE5PFOsB7mB4h5rxFCSMYYLGCV9cHpXY1xfxRAm8HiwRV+2aheQWVq5HMckjgFlPYhN5zQBzXw1+E+r+EbK+S/8AEU8ElzIpEemuNmFyMkyIeTnsB+Pbuf8AhGbn/oaNc/7+Q/8Axqsvxjo+m6J4K1TUtNiTTbzT7V57e5thsfei5UMR94EgAhsg5rqNKu5L/R7G8lj8uSe3jldP7pZQSP1oAy/+EZuf+ho1z/v5D/8AGqP+EZuf+ho1z/v5D/8AGq6CigDn/wDhGbn/AKGjXP8Av5D/APGqP+EZuf8AoaNc/wC/kP8A8aroKKAOf/4Rm5/6GjXP+/kP/wAao/4Rm5/6GjXP+/kP/wAaroKKAOf/AOEZuf8AoaNc/wC/kP8A8ao/4Rm5/wCho1z/AL+Q/wDxqugooA47X/DlxF4c1SRvEutOFtJWKs8ODhDwcR9Km0rw1ctpFkf+Em1tMwIdqvDgfKOB+7q/40l8nwNr8g6jTrjaPU+W2P1rYgi8i3iiHREC/kMUAYf/AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBzv/AAis3H/FS618pLD5oOCc5P8Aqvc/nWPe/CrRdRkMl3e3sspJPmFLcPz1+YRZ7+td1RQB4N4l/Z8ubnVrFtA1po7CNQrrfSs0kPJOY9q4xz045788e4XFzFptg09w8hihUb3EbO2PUhQT9eKs1y/xFvpbDwFqv2b/AI+rmMWcAB5MkzCNcf8AfWfwoAtx+MdCksY777Y6WMgDLdyW8qQkHofMZQuPfNbgIYAggg8givP/ABWJtL8DW+gzwx2GkTRRaZPfB/NMEbAR/cwOv3c54Jzg4rurK0isLG3s4M+TbxLEm45O1RgZP0FAE9FFFAHPeD/3el3toetrqV3Hj0UzO6/+OutdDXP6OPsvizxDZngTNBfqPZ4/KP6wE/j710FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGTLpuoz+Ire+l1C3On26t5dmLU797DG8yb8ZA3AfL0Y9+RQ1Dw1fXnjTTfEEWpW8SWMUkK25tGYukm3dl/MHOVyPl4966WigAooooAK5+P5fiHcf9NNKi/8AHZZP/i66CufuP3fxD0//AKbaVcj/AL4lg/8Ai6AOgri/Eltq2oeMfD8keiXc+l6ZLLcyyLLABJKY9ke1WkB43MeQO1dpRQByusaZfeL0i06+smsNGEqyXcczo0t0FO4RgIWCoSASc5OMY5zXVAAAADAHaiigAooooAKKKKACiiigAooooA5/xp8/hp7Xvd3Nta49RJMiH9CT+FdBXPeIP9J13w5YDnN293IP9iKNsf8AkR4q6GgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArm/E3h2/1+60xotTtra2sbyO8EL2bSGSRM7QWEi8ZIOMdQOa6SigDm9Q8MXOvT2g1zUYrixtZluFtLa2MKyyLypkJdiwB52jAzjOa6SiigAooooA57Uz9h8Z6Le9I7yKbT5Pd8CWMn6eXIP+BV0NYniy0nuvDtxJaIXvLRlvLZR1aSJg4X/gW0r9GNalndw39jb3ls4eC4jWWNh/ErDIP5GgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5/V/wB14w8OTf3xdW+f96MPj/yF+ldBXP8Aif8AdXXh667QaqgJ/wCukckX85BQB0FFFFABRRRQAUUUUAFFFFABRRRQAUUUyWWOCF5pXCRxqWdmPCgckmgDBtf9O8eX9x1j02zS0Q+kkp8yQf8AfKwfnXQ1geD4pDoI1CdCtxqcr30ikcqJDlFPusexf+A1v0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc74X/wCJdNqPh5jj7DL5tsPW2lJZMeytvj+iCuirnPEo/su7svEicJZZhvcd7VyNzH/cYK/0D+tAHR0UAgjIOQaKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArnvG3yeFp7n/n0nt7vPoIpkkP6Ka6Gs/XrD+1PDup6fjP2q0lhx/vIR/WgDQorP0G/wD7U8O6ZqGc/arWKb/vpAf61oUAFFFFABRRRQAUUUUAFFFFABXO+LSb23tNAjPz6rN5UuO1uvzTH6FRs+sgroq5vQP+JxrF94hbmA5srD/rijfO4/33B+qohoA6MAAAAAAdAKWiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApssaTRPFKivG6lWVhkMD1Bp1FAHO+GpX0+Wfw3dOWlsVDWjscma1Jwhz3ZfuN9AT94V0VYniLTLi5it9R00D+1dPYyW4JwJVP34WP91wMexCntV/StTt9Y02G+tS3lyg/K4wyMDhlYdmBBBHYg0AXKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDnvBf7rQGsT1sbu4tMeipKwT/xzYfxroa57R/9F8W+IrLoJmt79B7OnlHH4wE/j710NABRRRQAUUUUAFFFFABRRVXUdQttK06e/vJPLt4ELucZP0A7kngDuSBQBk+JrqacW+gWMjJe6luVpE629uMebJ7HBCr/ALTr6Gtu2tobO0htbaNYoIUEccajhVAwAPwrH8O6fcq1zrOpps1LUNpaInP2aIZ8uEfTJLerM3bFbtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/2Q==) +![md5:9c033ce1ee1d21e8491878caf87174c1](9c033ce1ee1d21e8491878caf87174c1.jpeg) By orthogonality of \((A)\) and \((B)\) we find that \(\overline{A L}\) , \(\overline{A L^{*}}\) , \(\overline{B K}\) , \(\overline{B K^{*}}\) are tangents to \(\omega\) (in particular, \(K L K^{*}L^{*}\) is harmonic). In particular \(\overline{M K}\) and \(\overline{M L}\) are tangents to \(\omega\) , so \(M K = M L\) . diff --git a/IMO/md/en-IMO-2013-notes.md b/IMO/md/en-IMO-2013-notes.md index 9b1f955580e0f7b48969baa3755853057bf163bb..88376a87c9469c2cfa9ddcadd9c79f73dc64e575 100644 --- a/IMO/md/en-IMO-2013-notes.md +++ b/IMO/md/en-IMO-2013-notes.md @@ -139,7 +139,7 @@ Proof. This follows from the fact that we have a spiral similarity \(\triangle X We define the arc midpoints \(Y\) and \(Z\) similarly, which lie on the perpendicular bisectors of \(\overline{A_{1}C_{1}}\) , \(\overline{A_{1}B_{1}}\) . -![](data:image/jpeg;base64,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) +![md5:f1d35b211545aba277877384377adc21](f1d35b211545aba277877384377adc21.jpeg) We now turn to the problem condition which asserts the circumcenter \(W\) of \(\triangle A_{1}B_{1}C_{1}\) lies on \((ABC)\) . @@ -176,7 +176,7 @@ We present two solutions, an elementary one and then an advanced one by moving p \(\P\) First solution, classical. Let \(P\) be the second intersection of \(\omega_{1}\) and \(\omega_{2}\) ; this is the Miquel point, so \(P\) also lies on the circumcircle of \(AMN\) , which is the circle with diameter \(\overline{AH}\) . -![](data:image/jpeg;base64,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) +![md5:32e685f10a339436e466084acbd020bc](32e685f10a339436e466084acbd020bc.jpeg) We now contend: @@ -273,7 +273,7 @@ Let \(n \geq 3\) be an integer, and consider a circle with \(n + 1\) equally spa First, here are half of the beautiful labellings up to reflection for \(n = 6\) , just for concreteness. -![](data:image/jpeg;base64,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) +![md5:cd9fa7c41b32de12c2cc0d023875b22c](cd9fa7c41b32de12c2cc0d023875b22c.jpeg) Abbreviate "beautiful labelling of points around a circle" to ring. Moreover, throughout the solution we will allow degenerate chords that join a point to itself; this has no effect on the problem statement. @@ -298,7 +298,7 @@ In any ring, the chords of sum \(k\) (even including degenerate ones) are pseudo Proof. By induction on \(n\) . By shifting, we may assume that one of the chords is \(\{0, k\}\) and discard all numbers exceeding \(k\) ; that is, assume \(n = k\) . Suppose the other two chords are \(\{a, n - a\}\) and \(\{b, n - b\}\) . -![](data:image/jpeg;base64,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) +![md5:c2cc10c0cc74703a3d370c02ef4addfb](c2cc10c0cc74703a3d370c02ef4addfb.jpeg) We consider the chord \(\{u, v\}\) directly above \(\{0, n\}\) , drawn in blue. There are now three cases. @@ -327,7 +327,7 @@ Proof. Because the chords of sum \(n\) are pseudo- parallel, there is at most on Conversely, we claim that this works. The chords of sum \(n\) (and less than \(n\) ) are OK by construction, so assume for contradiction that there exists \(a, b, c \in \{1, \ldots , n - 1\}\) such that \(a + b = n + c\) . Then, we can "reflect" them using the (pseudo- parallel) chords of length \(n\) to find that \((n - a) + (n - b) = 0 + (n - c)\) , and the chords joining 0 to \(n - c\) and \(n - a\) to \(n - b\) intersect, by definition. -![](data:image/jpeg;base64,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) +![md5:080a52ffa12ebb1a2ac31edf885a7495](080a52ffa12ebb1a2ac31edf885a7495.jpeg) This is a contradiction that the original numbers on \([0, n - 1]\) form a ring. diff --git a/IMO/md/en-IMO-2014-notes.md b/IMO/md/en-IMO-2014-notes.md index a986d5fbaea0d80551b35ea6150c1c1556214450..18b26dcdb32915fa0adf580c16d613afd3d6d240 100644 --- a/IMO/md/en-IMO-2014-notes.md +++ b/IMO/md/en-IMO-2014-notes.md @@ -91,12 +91,12 @@ The answer is \(k = \lfloor \sqrt{n - 1} \rfloor\) . \(\P\) Proof that the property holds when \(n\geq k^{2} + 1\) . First, assume \(n > k^{2}\) for some \(k\) . We will prove we can find an empty \(k\times k\) square. Indeed, let \(R\) be a rook in the uppermost column, and draw \(k\) squares of size \(k\times k\) directly below it, aligned. There are at most \(k - 1\) rooks among these squares, as desired. -![](data:image/jpeg;base64,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) +![md5:733cdd2a1448a481fbc5bf81b5b77813](733cdd2a1448a481fbc5bf81b5b77813.jpeg) \(\P\) Construction for all \(n\leq k^{2}\) . We first give an example where for \(n = k^{2}\) showing there may be no empty \(k\times k\) square. We draw the example for \(k = 3\) (with the generalization being obvious); -![](data:image/jpeg;base64,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) +![md5:98fe987c5c75ff27c50a5d0ca3f1fb13](98fe987c5c75ff27c50a5d0ca3f1fb13.jpeg) To show that this works, consider for each rook drawing an \(k\times k\) square of \(X\) 's whose bottom- right hand corner is the rook (these may go off the board). These indicate @@ -131,7 +131,7 @@ Proof. which implies conclusion. -![](data:image/jpeg;base64,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) +![md5:b01abdca9d6b6168995cad3ff99f6dbb](b01abdca9d6b6168995cad3ff99f6dbb.jpeg) Let the perpendicular bisector of \(T H\) meet \(A H\) at \(P\) now. It suffices to show that \(\frac{A P}{P H}\) is symmetric in \(b = A D\) and \(d = A B\) , because then \(P\) will be the circumcenter of \(\triangle T S H\) . To do this, set \(A H = \frac{b d}{2 R}\) and \(A C = 2 R\) . @@ -174,7 +174,7 @@ Now for concreteness we will use a negative inversion at \(H\) which swaps \(B\) Let us describe the inverted problem. We let \(M\) and \(N\) denote the midpoints of \(\overline{A^{*}B^{*}}\) and \(\overline{A^{*}D^{*}}\) , which are the centers of \((HA^{*}B^{*})\) and \((HA^{*}D^{*})\) . From \(\overline{T^{*}C^{*}} \perp (HA^{*}D^{*})\) , we know have \(C^{*}\) , \(M\) , \(T^{*}\) collinear. Similarly, \(C^{*}\) , \(N\) , \(S^{*}\) are collinear. We have that \((A^{*}HC^{*})\) is orthogonal to \((ABCD)\) which remains fixed. We wish to show \(\overline{T^{*}S^{*}}\) and \(\overline{MN}\) are parallel. -![](data:image/jpeg;base64,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) +![md5:6c6e663b885af2f434582d121b110738](6c6e663b885af2f434582d121b110738.jpeg) @@ -199,7 +199,7 @@ We give three solutions. \(\P\) First solution by harmonic bundles. Let \(\overline{BM}\) intersect the circumcircle again at \(X\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHLAa8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKCcDJ6VVl1OwhOJb22Q+jSqP601FvZAWqKo/2zYH7txv/wCuaM38hR/a9r2W6P0tJT/7LV+yqfyv7hXReoqj/a9r/cvB9bOb/wCJpP7Ysv4nlX/fgdf5ij2VT+V/cF0X6KpLrGmsdov7cN6NIAfyNWo5Y5V3RyK49VOalwlHdDH0UUVIBRRRQAyWWOCF5pXVI0Us7scBQOSSag03UbXVtNttRspfNtbmNZYnwRuUjIODyKxtevrC5uxo13cJHblPMu8/xL/DH+J5PsMEYas74SzGf4XaHuOWjieE/wDAJGT/ANloA7SiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKq3OoW9q4jdy0xGVijG5z+A7e/Sod2o3X3QllGe7Ykk/L7o/8AHqtU21d6ITaLzukaF5HVFHVmOAKpf2tBJ/x6xzXZ9YU+X/vo4X9aE0u2DiSYNcyjkPO28j6DoPwAq7T9xef9f12Fco79Um+7HbWo9XJlb8hgD8zR9gmk/wBfqFy/+zGRGP8Ax0Z/Wr1FHtGtlYRRGj2GcvbLMfWcmQ/+PE1ajt4YRiKGOP8A3VAqSik5ye7EFFFFSAUUUUAIyq4wyhh6EZqrJpWnyHc1lBu/vCMA/mOat0U1KUdmBR/stE/1FzdwH/ZmLAfg2R+lHl6nD9y6huF/uzR7WP8AwJeP/HavUVXtJddRlL+0Jov+PqwmQd3h/er+nzf+O0y61ezXTbm4j1OztxEmWmuD8kXu43KQPxFaFeceP7GLx9oN5pVhsS2g+eXU2Xcu9OfLjAxv5GCc4HueBSipRlK1kle/T8Rpu6Xc6rwwTN4fee21qx1Sa4kkk+328P7t2J4yoc52jC43DhQOMUzwd4cufC2kyadNqEV5GZ5JoylsYtm9y7Dl2yMtx0/GuP8AhR4fu/CWlX2iperJeJP9okilUiORWAUMhHI5RlPXlenIr0MaokTBL6JrRjwGc5jP0ccfng0nRkvz+/UbdnZl+igEEAg5BorIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRSMwVSzEBQMknoKzjd3F/wDLYYjg73TrnP8AuDv9Tx9aqMHITdi1dXsFptEjEyP9yNBudvoBVbZfXvMrmzhP/LOMgyEe7dF/D86ntrKG13MgLSv9+Vzudvqf6dKsVfNGPw/eS3chtrSC0QrBEqAnLEdWPqT1J+tTUUVDbbuxBRRRSAKKKKACiiigAooooAKKKKACiiigAqOeeK2gknnlSKGNSzu7AKoHUknoKg1HUrTSrNrq8l8uMEKAASzseiqByzHsByaw0s7vXZ0vNZj8q1Rg9vppIIUjo8uOGfuF+6vueRtTpXXPPSP5+S/rQmUrDZJLrxTwPOtNDP1SW8H80jP4M3sOt69hih0+K0hjSOMvHEqIMBV3DIA9MA1fqnc/PqFlH6F5T+C7f/ZxWeKqc1PkStHa3rpfzfn+gUX+8Uu2v3amTqEM1rK2q2cbPdadM7NGg5mgcBpE9z/EP9pB6mupgngvbSOeF1lt5kDow5DqRkH6EVnJ8mpyjtJErD6gkH+Yqjor/wBj6xNoj8Ws+65sD2UZzJF+BO4D0bA+7W0f3lLl6x29P+Bv6XKk/e9bfkav9nG3JbT5fs/fyiN0R/4D/D+GPxp0WpbJFhvovs0pOFJOY3P+y39Dg1dpskaSxtHIiujDBVhkEVnz83x6/mNOxJRWb9nubDmzJmgHW2kblR/sMf5Hj3FW7W8hvELRMdynDowwyH0I7VMoWV1qik7k9FFFQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC6u4rSLfKTydqqoyzn0A7mmXd6tttjRDLcSf6uJTy3ufQDuajtrNklNzcuJbphjdj5UH91R2H6nvWkYpLmlt+YmyNbWa/YSX42xA5S1Byo93P8R9ug9+taFFFKUnIgKKKKkAooooAKKKKACiiigAooooAKKKKACiiigArN1bWYNKWOPY9xez5FvaRY3ykdfoo7seB+VV9U1t4rr+zdLiW61MqCysf3dup6PKR09lHLdsDJDNM0lLBpLiWVrq/nx591IPmfHQAdFUdlHA9yST0Qpxguep8l3/yX59O6iU7aIistLnkvF1PV5En1AAiNEz5VqD1WMHv6ueT7Dga1FFTOpKbuzMKpp8+ryntFCqj6sST/AOgirlU7H55byX+9MVH0UBf5g1zVNZRXn+n+djSnpGT8v1/yuOn+S+tX/vb4/wAxu/8AZag1rT5L+xBtnWO+t3E9rIeiyr0z7EEqfZjU9/8ALAkn/POVG/DIB/QmrVbU5uE+ZbhPWEX8v1/UbpGpx6vpcN7GjRlwRJE33onBwyH3DAj8KvVzKv8A2H4kEnSw1VwknpFcgYVvo4G0/wC0q92rpqutBRfNHZ6r/L5f8EqLugqrdWKTuJo3MNyowsydcehHcexq1RWUZOLuhlS3vn84Wt4giuD90j7kvup9fY8j361dqC4t4rqExTJuQ8+hB7EHsfeqsVxLYyLb3rl4mO2K5Pc9lf0Poeh9j1txU9Y79v8AIpPuaNFFFZFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVW8vDb7Iok825k/1cecfUk9lHc/1pb27FpGuEMk0h2xRDq7f0HcnsKZZ2hg3yzOJLmXmSTH5KPRR2H9TWkYpLml/w/8AwBNi2ln9n3SSP5tzJ/rJSMZ9gOwHYf1qzRRUyk5O7ICiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRTZJEhieWV1SNAWZmOAoHUk0AOrnbzV7nVLiTT9DcKsbFLnUcBkiPdIweHk/8dXvk/LUMl1deKPktnltNEP3p1ykt4PRO6R/7XVu2Byde3t4bS3jt7eJIoY1CpGi4VQOwFdSjGjrLWXbovXz8vv7Gcp9EQ6dpttpdr5FshALF3diWeRj1ZmPLMfU1boorGUnJ3k7szCiiikAEgAk8AVU0sH+zYXPWQGU/ViW/rS6k5TTbgr94oVX6ngfqasRoI41ReigAVjvV9F+b/4BrtS9X+X/AA5HdxmazmjHVkIH1xToJBNbxyjo6BvzFSVV0/i0Ef8AzzZo/wAmIH6YrTqC1pvyf5/8MGo2EOp6fPZXGfLlXaSpwynswPYg4IPYik8PajNe2L296R/aNm/kXQAwGYDIcD0ZSGH1x2q3WJqzf2PqUOvpxAqiDUAO8Oflk/7ZsSf91n9q6aX7yLpfd69vnt62Ii7M6eigEEZHIorlNgpskaTRNHIgdGGGVhkEU6igDPilfTZVt53Z7VztimY5KHsjH+R/A89dKo5I0miaORQ6MMMpGQRVK2lexnSyuHLRvxbzMck/7DH1HY9x7itGudXW5SZo0UUVkUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUVxPHawPNK21EGSf6D3qWs2P/iZXnnHm0t2IiHaRxwW+g6D3yfSrhG+r2Qm7D7OCR5GvbpcTyDCp18pP7v17k+vsBV2iiiUuZ3ICiiipAKKKKACiiigAooooAKKKKACiiigAoorP1bWLfSYo/MV5rmY7be2iGZJm9FHp6k4A7kVUISm+WK1DYnv9QtdMs3u7yZYoU6seSSegAHJJPAA5JrA+y3XiKVbjVomg09SGh05ur46PN2J7hOg75PSW00y4ubxNU1lklvFyYIEOYrUH+7n7zY6ueewwOK166OaNHSGsu/b0/wA/u7vKUrhRRRWBAUUUUAFFFFAFPUPmFtD/AM9J0/8AHfn/APZauVTl+fVbZO0cbyH68KP5tVysYazk/l+H/BZrPSEV8/x/4CCqtt8l1dx/7YcfQqP6g1aqqfk1Qf8ATWH/ANBP/wBlWj6BT1Ul5f8ABLVNkjSWNo5FDIwKsrDIIPUGnUVRkZXhuZ7KSfw/cOWezUNauxyZLY8Lz3Kn5D9FJ+9XQ1zmu204SDVLGMvf2DGSNB1mQ/6yL/gQHH+0FPatyyvINQsYLy1kEkE6CSNh3BGRWtdc6VVdd/X/AIO/39jaDurE9FFFc5QVFcW8d1A0MoyrehwQexB7EVLRTTad0BUsbiTe1ndHNxEMhunmp2YfyI7H6irtU722adFkhYJcwndEx6Z7g+x6H/61S2l0t3brKoKnJV0bqjDgg/Q1U0muZFJk9FFFZlBRRRQAUUUUAFFFFABRRRQAUUUUAFFFMmlSCF5pWCxopZmPYChK4FPUJXkZLCBysswJd16xxjqfqeg+ue1W440hiSKNQqIAqqOgAqpp8Um17udSs9wdxU9UX+FfwH6k1drSenurp+ZD1CiiioEFFFFABRRRQAUUUUAFFFFABRRRQAUUVz99rNzfXUum6Gy+ZGdlzfMu6O3PdVH8cnt0X+L0OlOnKo9Pm+iBtIsarrZtbgafp8Iu9Uddwi3YSJT/AByN/CvoOpxwOuIdN0kWcsl5dTG71GYYluXGOP7iD+BB2UfU5PNTabpltpdu0UAZmdt8ssjbpJX7s7dz/wDqGBVytZVIxXJT26vq/wDgeX3mLk2FFFFYkhRRRQAUUUUAFFFFAFOH59Uun7IiRD68sf8A0IVcqnp/zJPL/wA9J3P4A7R+i1crGj8F+9397Nq3x27WX3IKq3Xy3FpJ6SFD9Cp/rirVVdQ4snf/AJ5lZP8Avkg/0rSWwqPxpd9Pv0LVFFFUZBWPpj/2Lr0mltxZX5e4s/RJessX48uPq/pWxVDWNOOp6e0UcnlXMbCW2mxny5VOVb6Z4I7gkd61oyV3CWz/AA7P5fldDTs7m3RWfouqDV9LjuTH5UwJjnhJyYpVOGX8COD3GD3rQrGcHCTjLdG4UUUVIBWfP/xL70XY4t5iEnHZW6K/9D+HpWhTZI0mieKRQyOCrKehBqoSs9dgJKKo6dK6iSymYtNbkAMerofut/Q+4NXqUo8rsaIKKKKkAooooAKKKKACiiigAooooAKzrz/S72GyHMaYmn+gPyr+JGfovvV93WKNpHYKigsxPYCqWmIxga6lBEty3msD1Ufwr+CgfjmtIaJyJkXaKKKgkKKKKACiiigAooooAKKKKACiiigApGZUUszBVUZJJwAKgvb2206zku7yZIYIxlnc8D/E+3eueaC68TOJdRie20kHMdg/Dz+jTeg9I/8Avr+6NqdLmXNJ2j3/AEXd/wBMUpWFlvrrxMTFp8slto/R7xDtkufaI/wp/t9T/D/erWtbS3sbWO2tYUhgjG1I0GABUoAAAAAA6AUtOdTmXLFWj2/z7v8ApGLd9wooorMQUUUUAFFFFABRRRQAUyWQRQvI3RFLH8KfVPVOdOljHWXEX/fRC/1qKkuWDkuiLpx5pqL6sfp0Zi063VvveWC31Iyf1qzR0opwjyxUV0FOXNJyfUKZLGJYXjPR1Kn8afRTEnZ3RBZSGWygc/eKDP1xzU9VbH5YpY/+ecrj8Ccj9CKtUo7F1VabsFFFFUZmLK/9h+IUvRxY6kywXPpHP0jk/wCBcIffZ7101Zd9ZwajYz2dym+GZCjjpwfT0PvUPhy/nntZbC+fdqFgwhnY8eauMpL/AMCXn2IYdq2n+8p8/WOj9Oj+W33GkH0NqiiiuY0CiiigChqH+jPFqC/8seJcd4j1/LhvwPrWiDkZHSmMoZSrAEEYIPeqelsY4pLJyS9q2wE9SnVD+XH1Bq370PT8v6/MpF+iiisygooooAKKKKACiiigAooooAz9U/fCCxH/AC8P8/8A1zXlvz4X/gVXqo2/+kardXH8MIFun1+8x/MqP+A1erSeiUf61Ie4UUUVAgooooAKKKKACiiigAooooAKoarq9tpFusk+95JG2QwRDdJM/wDdUdz+gHJIHNQatrYsZUsrOH7Xqcq7o7dWwFXpvkb+BPfqegBNVtO0k29w9/fTfa9TlXa85XARf7ka/wAKe3U9SSa6IUlFc9Tbour/AMl5/d1tMpW2IrbTrq/vI9T1rY08Z3W9oh3RWvv/ALcnq3bouOSdiiipqVHN6/8ADGQUUUVAgooooAKKKKACiiigAooooAKp3vz3FnF/em3H6KpP88Vcqm3z6wg7RQE/izDH/oJrGtrFLu1+f+RrR0k32T/L/MuUUUVsZBRRRQBVh+TULpP7wST8wV/9lFWqqyfJqULdnjZD9QQR/WrVSjWprZ90vw0/QKKKKoyCsTWt2l3cHiCFSRbL5d6qjJe3JyT9UPzj23DvW3SEBgQQCDwQaulPklfddfQZcR1kRXRgysMhgcgilrnPD0h0y7m8PSk7IV86wY/xW5ONn1jJ2/7pT1ro6mrT9nK266ehsndXCiiisxhVG5/0bU7a6H3Jf9Hk/HlD+eR/wKr1V763N1YzQqcOy/I391hyp/AgGrg0pa7AWqKgs7gXdnDcAY8xAxHoe4/A1PUNNOzNAooopAFFFFABRRTZHEUTyNnaoLHHoKA3HUyaVYIZJXOERSzH2AzTlYOgZTkMMg1R1f57IW/e4kSL8Cfm/wDHQ1VBc0kgeg7TIni06HzBiVwZJP8AeY7j+pq3RRRKXM2zMKKKKQBRRRQAUUUUAFFFBIAJJwB3oAKwdQ1q4uLuTS9ECPdIdtxdOMxWvsf7z+iDp1OBjNebUbnxE7W+kzPb6YDtl1BOGm9Vh9vWT/vnJ5GnZ2Vtp9pHa2kKwwRjCov6n3J6knk11KEaOs1eXbt6/wCX39nnKfREOm6XBpkTiMvJNK2+e4lO6SZv7zH+Q6AcAAVdoorGUnJ80nqZhRRRSAKKKKACiiigAooooAKKKKACiiigAqna/PfXsvo6xD6BQf5sauVT0z5rPzf+esjyfgWOP0xWM9ZxXq/0/U2hpCT9F+v6FyiiitjEKKKKAKt78pt5f7ky/wDj2V/9mq1Va/UtYT7fvKpYfUcj+VWFYOoYdCMipW5rLWmn6r+vxFoooqjIKKKKAMrXLOea3ivLFQdQsX863BON/GGjJ9GXK+xwe1bGnX8GqadBfWzEwzoHXIwR7EdiDwR2IplY1k/9ieInszxYao7SwekdxjLp/wADALj3D+oraP7ynydY6r06r9fv7lwdmdLRRRXMahRRRQBS0791NeWp6Ry+Yn+6/wA3/oW78qv1nv8AudbgbtPC0Z+qncv6F60Kupq1LuWtgoqNZkeeSFSd8YBbj16fyqSsk09immtwooopiCkIDKVIyCMGlooAqaYSdNgUnJRfLP1X5T/Ko7r95q1jF2RZJj9QAo/9DNPsfkku4v7k5I+jAN/MmmR/Prlw3aOCNR9SWJ/ktXR2b7L/AIBVb4n5/wDDl2iiipMQooooAKKKKACiiqWqara6Raie6Zss2yKKNd0krnoqL1J//WeKqMXJ8sVdgT3d3b2NrJdXUyQwRLueRzgKK5x0uvFB3Xcclrov8NqwKyXQ9ZR1VP8AY6n+L+7T4NPutUuo9Q1tVBjbfbWCtujgPZmPR5Pfovb+8dquhONH4dZd+3p5+f3dzKUr7CKqoioihVUYAAwAKWiisCAooooAKKKKACiiigAooooAKKKKACiiigAooooAhvJvs9lPN3SNmH4CltYfs9pDD/zzRV/IYqDUvmtVi/56yon4Fhn9M1crFa1X5Jfj/SNXpSXm3+H9MKKKK2MgooooAQgMpB6Hg1X08k2EIJyUXYfqvB/lVmqtn8r3MX9yYkf8CAb+ZNS90ax1pyXo/wBP1LVFFFUZBRRRQAVS1bTl1TTpLUyGKQ4eKZRzFIpyjj3BANXaKcZOElKO6Ag0LVG1XTRJMgivIWMN1ED/AKuVfvAex4IPcEHvWnXMXj/2JrsWqjizvCltfDsrZxFL+BOwn0ZT0Wunq68Empx2f4d18vysbRd0FFFFYFFHU/kW1n7xXKH8GOw/o1aFUdWQvpF2F+8ImZfqBkfqKuLIrRCXPyld2farl8CfqVEp6f8APLezf37ggfRQF/mpq9VLSQRpVuxGGkXzSPdjuP8AOrtc1H+Gn31+/U2rfG120+7QKKKK1MwooooApp8mrzL2lhVh9QSD/NaZZfNfai//AE3VB9BGn9SafcfJqNnJ/e3xfmN3/slR6byLtv71zJ+hx/Srp6Rl/XmVV2i/L/gF6iiipMQooooAKKKwtS1uZ7t9L0ZUmv1x50zjMVqD3fHVschBye+BzV06cqjsv+GBtLcsavrcenPHawRG71GYEw2qHBI/vMf4EHdj9Bk4FVNP0qSO6Oo6lMLrU3Xb5gGEhU/wRL/CvqerY5PQCXTNKh01JGDvPdTHdcXUpzJK3qT2A7AYA7Cr9bSnGC5Kfzff/Jfn17LGUmwooorEkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCnc/Pf2UfoXlP4Lt/m4q5VNfn1iQ9ooFUfViSf/QRVysaWrlLu/y0/Q1q6KMey/PX9QooorYyCiiigAqqnyanKO0kSsPqCQf5irVVZ/kvrV/72+P8xu/9lqWa09brun+Gv6FqiiiqMgooooAKKKKAIrq2hvbSa1uIxJBMhjkRujKRgiqnhu8m8qfSL2Qve6eQhkbrNEc+XJ9SAQf9pWrQrF1xJLGWDXrZGaWyBE8aDJltzjeuO5GA491x/Ea3pe+nSfXb1/4O33PoVF2Z01FMhmjuII5oXWSKRQ6OpyGBGQRT65WrGw2RBJGyHowINZYmY+Eo3BxI9oqD/eKhf5mtasWD5tL063/vXIX8EZm/9kqa38CX9b3NqH8RG0iCONUXhVAAp1FFMkKKKKACiiigCnqPy28cv/PKZG/DcAf0JqPS/wDUTn/p5m/9GNVm9iM9jcRDq8bAfXFUtDlE9g8o6PNI35sT/Wrj8Mvl+pUtYL1f9fmaVFFFSYhRUdxcQ2lvJcXEqRQxqWeR2wqgdSSa5qRrrxT/AKxZbTQz0jOUlvB/td0j9vvN3wODrTpc/vN2iuv+Xd/1sJySJLjVLnXpXtNGmMNkpKz6kozux1SHsT2L9B2yemhY2FtptolraRCOJcnGckk8kknkknkk8mp4444YkiiRUjQBVRRgKB0AHanVc6l1yQVo/wBav+tOhi23uFFFFZCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKCQASegpDKdl8815L/emKj6KAv8AMGrlVNLB/s2Fz1kBlP8AwIlv61brOh/DT76/fqaV/wCI120+7QKKKK1MgooooAKq3/ywpJ/zzlRvwzg/oTVqobuMzWc0Y6shA+uKmWxpSaU02TUVHBIJreOUdHUN+YqSmQ007MKKKKYgooooAKKKKAMfQn/sjUptAfi3Ia408np5efni/wCAMRj/AGWUdjXSVga3YTXlmktmVXULRxPas3A3gH5T/ssCVPsxrT0rUYdW0yC+gDKkq8o33kYHDK3uCCD7itq3vxVVej9e/wA/zuawfQuVi6b+8uLVO0X2lz9fNKj9N1bVYvh/95Jdy9lYxD/vt3P/AKGK5KmsFHvJfhd/odNHRt9l+en6m5RRRTJCiiigAooooAKx9BXy4LuDGBDdPGPoAK2KzbL5NV1OLGF3pKPfcuD+q009yt4NfP8AT9TQqnqWp2mk2hubuTamQqqoLNIx6KqjlmPYCoNW1qHS/LhSN7m+nz9ntIj88mOpPZVHdjwPqQDRsdKlN2NT1WVbnUSCE2j91bKeqxg/qx5b2GAN4Uklz1Nvxf8AwPP8znlKxDHY3etXEd9rUflwxsHttOyCsZHR5COHf2+6vbJ+atuiilUqOfklsuiMgoooqBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVXUnMem3BX7xjKr9TwP1NWqp6h8wtof8AnpOn/jvz/wDstZVn+7djWiv3iuWo0EcaovRQAPwp1FFaJW0M276hRRRTEFFFFABRRRQBV0/i0Ef/ADzZo/wBIH6Yq1VW2+W6u4/9sOPoVH9QatVMdjWt8bffX79QoooqjIKKKKACiiigArFhf+w/Em08WGrPx6RXQH6B1H/fS+rVtVU1PT4tU06azlLKJB8rr96Ngcqy+4IBHuK1pTSdpbPR/wCfy3GnZ3NesnwwudFSbGDO7SH88fyAqHTNYludBupLoKmoWKvFdovAEirncP8AZYYYezCtLSYfs+j2cRGCsKAj3xz+tc1WLhU5H0/pffrY7Yfw2+9v6/IuUUUUEhRRRQAVw2szi5+Jun6YdSubW1i06W7vES8eJZMsEiHDDHIc8Yzjmu3kcRxtIwYhQSQqljx6Acn6CuB0C8jbxV4n1rUNO1SMXE8VtaiTSrgkwRJ94fu+jO7n8KAL2jXd3L46nt9Luri78Ox2OZpZZDKi3W/hY5GyWO3O4ZIHHQ1xPin4v3WifE+fQLTSA4xFaGWQsWLtghwgGWA3/dBy3YjNdz4Q0+/TXvEOrzW0lhp2oSxfY7F/lZdi4aVlHCFzjjrxzzWhrGjaU+s6dq0+nWst2svkGZoVL7WUgAkjPXH504tKSbKim7pGPpl7baf5kz2GuXN7Pgz3UunS75COg+7hVHZRwPzNaH/CRxf9AzWf/BdL/wDE1qfZrnT+bMma3HW2duV/3GP8jx7irVreQ3asYmO5Th42GGQ+hHau2pUpyfPyt/P/AIGn5djl5DB/4SOL/oGaz/4Lpf8A4mj/AISOL/oGaz/4Lpf/AImulorL2lL+R/f/AMAfszmv+Eji/wCgZrP/AILpf/iaP+Eji/6Bms/+C6X/AOJrpaKPaUv5H9//AAA9mc1/wkcX/QM1n/wXS/8AxNH/AAkcX/QM1n/wXS//ABNdLRR7Sl/I/v8A+AHszmv+Eji/6Bms/wDgul/+Jo/4SOL/AKBms/8Agul/+JrpaKPaUv5H9/8AwA9mc1/wkcX/AEDNZ/8ABdL/APE0f8JHF/0DNZ/8F0v/AMTXS0Ue0pfyP7/+AHszmv8AhI4v+gZrP/gul/8AiaP+Eji/6Bms/wDgul/+JrpaKPaUv5H9/wDwA9mc1/wkcX/QM1n/AMF0v/xNH/CRxf8AQM1n/wAF0v8A8TXS0Ue0pfyP7/8AgB7M5r/hI4v+gZrP/gul/wDiaP8AhI4v+gZrP/gul/8Aia6Wij2lL+R/f/wA9mc1/wAJHF/0DNZ/8F0v/wATR/wkcX/QM1n/AMF0v/xNdLRR7Sl/I/v/AOAHszmv+Eji/wCgZrP/AILpf/iaP+Eji/6Bms/+C6X/AOJrpaKPaUv5H9//AAA9mc1/wkcX/QM1n/wXS/8AxNH/AAkcX/QM1n/wXS//ABNdLXOXeuXF94lfw9pDIsttEs2oXbLuFurfcRR0MjAEjPAAyQelHtKP8j+//gB7Mb/wkcX/AEDNZ/8ABdL/APE151f/ABhMfxLttB/sK6NtHMICzKwnLuANwj25wMnjqRz7V6BrWqXnhjUdEeW9kvLLUb5NPlSdEDxu4bY6lFX+IYIOeDxjHOhHpGmz+KLnVX0+1a9hjjhS5MKmReCThsZ6MorGtUpvlSju+/z7eRpTp2u77L/gfqVP+Eji/wCgZrP/AILpf/iaP+Eji/6Bms/+C6X/AOJrpaK29pS/kf3/APAM/ZnNf8JHF/0DNZ/8F0v/AMTR/wAJHF/0DNZ/8F0v/wATXS0Ue0pfyP7/APgB7M5r/hI4v+gZrP8A4Lpf/iaP+Eji/wCgZrP/AILpf/ia6Wij2lL+R/f/AMAPZnNf8JHF/wBAzWf/AAXS/wDxNH/CRxf9AzWf/BdL/wDE1H4/1S/0jw19o0q6MOoy3MNtbLsVlkkkkVACGB4wSeMdKr+JNT1TwsmlTxahLqL3d/DaG0nijBkDnkoUVSCAC3ORgfjR7Sj/ACP7/wDgB7M4fUfjEbD4lpoi6FdNbu0VtIXVlnLNghhHjPG/p1PavRP+Eji/6Bms/wDgul/+Jq7f6Rpra3Yas+n2rXqP5YuWhUyBSpx82M9cVsVnCdNN3j+P/ALnTukzmv8AhI4v+gZrP/gul/8AiaP+Eji/6Bms/wDgul/+JrpaK09pS/kf3/8AAI9mc1/wkcX/AEDNZ/8ABdL/APE0f8JHF/0DNZ/8F0v/AMTXS0Ue0pfyP7/+AHszmv8AhI4v+gZrP/gul/8AiaP+Eji/6Bms/wDgul/+JrpaKPaUv5H9/wDwA9mc1/wkcX/QM1n/AMF0v/xNH/CRxf8AQM1n/wAF0v8A8TXS1Bd3UdnB5kmSSdqooyzsegA9aanSbsoP7/8AgB7M8Z+JXxAfwtdW9zYaZeLJqUD29yt3A8COqFSpGRyw3MPo3PavSW8aWVv8PI/F91BJDbNZpc+QfvZYDag9SWIAPfINRapodprF7pset2dvdyyTmXypUEiRIik7QCPUrk9/pgUvj/QrjWfCDWmnwLJNbTQ3MdsMKJRG4YxjtyAQO2cVhVmp1HbpZf133N1Fxgl8/wCvuJtJ0jUb+zS+8Q3l0L2dQ/2S1uHgitQedg2EFyO7MTk9MDip/DtpqttPqx1O7muEN3ss/M/hgCLt+p3FsseTgVPF4gtbqEG0hupbhhxbtA8bqfR9wGz8fwzWjbLMlrEtxIJJwo8xlGAW74HpUAS0UUUAFFFFABWfriu2j3DR8PGBKp9CpDf0rQpk0YmgkiPR1Kn8RQVB2kmxsUqzQpKhyjqGU+x5qC6sYrllky0U6DCTRnDL7e49jxVTw9MX0pYn4eE7CPQYyo/IgfhWrWjbhL3TOUbNpmeL2WzITUVUJ0W5QfIf94fwn9PftWgCCMjkUhAYEEAg8EGs82c1kd+nkGPqbVz8v/AD/D9On060/dn5P8P+B+XoSaNFVrW+iuiyDdHMn34ZBh1/D09xxVmocXF2YBRRRSAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuA8Ozp4e8R+KoNQR21C/wBUNzbrlQZrcxKVKliAQu1weeMY7jPf1HNBDcKFmijkAOQHUHB/GgZxdwn/AAnPiXRbm3DHQdJk+3GdgQLm524jVPUJkksOMkDscdXpvzpcTf8APW4c/gp2D9FFYfhzwvJ4XillutZutSjgjaO0SZVVbaHrsAHU8D5j2UAYrf0yMxaXbI33/LUt9SMn9ayetRLyf6f8E0WlN/L+vyLVFFFamQUUUUAFFFFAHnvi+/0/WPHvhXw899DshuZb25VLjYyuibYlyCCGLPwOvFdnBothb3i3YhaS5RSqTTyNK6A9QrOSVB7461fooGVNT4sXk/55FZf++WB/pVumTRiaCSI9HUqfxFRWMhmsLeRvvNGu7645pdS96fo/z/4YsUUUUzMKKKKACiio5547aF5pnCRoMsxoSvogEubmK0gaaZsKvoMknsAO5PpVW0tpZZ/t14uJsYiizkQqf/Zj3P4fVLaCS7nW9u0KBf8AUQN/yzH95v8AaP6Dj1rQJABJOAK1b5Fyrfr/AJf1/wAOGXG3n+J5cHK2tsFI9Gc5/korWrE8PZnN9esObibIPquAV/INj8K2654rV+r/AA0/Q3qaWXkv8woooqiAooooAKKKKACiiigDDsv9E1Rl6JM8kR9mUl1/NWP/AHyK2qyrqB5Jr6OIfvh5dzF7uMjH47AD7GtG3nS5to54zlJFDD8aveCfbT/L+vIdb4799fvJKKKKkyK91ZQ3YUuCsicpIhw6H2P+RVb7VcWHy3w8yDtdIvT/AH17fUcfStGirU9LPVAIrK6hkYMpGQQcgilrPawktnMunMseTlrdv9W/0/un3H4g1LbX8dxIYXVoblRloZOuPUdmHuKHDS8dUBboooqACiiigAooooAKKKKACiiigAooooAKKKKACiiigClqxzpk0Y6y4hH/AAMhf61dAwMCqV989xYw/wB6fefoqk/z21drKOtST9F+v6mstIRXq/0/QKKKK1MgooooAKKKKACiiigAqpp/yxSxf885nX8Cdw/QirdVIPk1K7T+8El/MFf/AGUUnujSOsZL5/195booopmYUUUjMFUsxAUDJJ6CgBJJEhjaSRgiKMszHAArPgjfUZku7hStuh3W8LDBJ/vsPX0Hb69EjVtWlWeQEWKHMSH/AJbEdHP+z6Dv19K061f7vTr+QBVHVWLWgtkJElywhGOoB+8fwUMfwq9WTdTE3F5djlLGBlT3kIyfyG0fiaiMlG83stSoxcpKK6lnR1A05XUACV3kGPQsSP0xV+obWEW1nBAOkcap+QxU1Y0k4wSfY1qNSm2goooqyAooooAKKKKACiiigCnJ8mrW7dpInQ/UEEf+zVFaf6JfT2R4R8zw/Qn5h+DHP/AhUt/8ptZv+ec6/wDj2U/9mpNShkeFLiBc3Fu3mIB/EP4l/EZH1x6VVJ6uL6lVFeMWW6KZDNHcQJNE26N1DKfUGn0mraMxCiiigAqC5tIbuMJMmdpyrA4ZT6gjkGp6KabTugM7zrrT+LkNc2w/5bIvzoP9pR1+o/LvV6KWOeJZYnV42GVZTkGn1RlsGjlaexkEErHLoRmOQ+47H3HP1q7xnvo/wAvUVTt79ZJRb3EZt7n/AJ5schvdT/EP19QKuVEouLswCiiikAUUUUAFFFFABRRRQAUUUUAFFFFAFJv3mtxjtDbsfxZgB/6Aau1StPn1C/l9HSIfRVz/ADY1drKlqm+7f+X6GtXRpdkv8/1CiiitTIKKKKACiiigAooooAKqSfJqsDdpInQ/UEEf+zVbqpffKbWX+5Ov/j2V/wDZqUtjSn8Vu9y3RRRTMwrL51iT/qHIf/Agj/2Qfr9OqyM2rStBGSLFDiVx/wAtiOqD/Z9T36etaSqFUKoAUDAA6Ctf4fr+X/B/L12BaKKKyAgvLkWlpJMVLFRhVHVmPAH4kgVSmtjbaTBaM26SaZBI395i4Zz/AOhVKf8ATdUC9YLM5P8AtSkcD/gIOfqw9KfdfvNTsYv7peY/gu3/ANnqcRpS5O9r/PT9Tagvfv21+7UvUUUUyQooooAKKKKACiiigAooooAq6kpbTbjbyyoXX6jkfqKsowdFZejDIoYBlKkZBGDVfTw6afAkgIdECHI544z+lLqXvD0f5/8ADFaH/QdQa2PEFwTJCf7rdWX/ANmH4+laFQ3lqLu2aIsUbIZHHVGHQimWN01zCRKoS4jOyVB/C3t7HqPY1tL3lzdev+f9fqYtWLNFFFZiCiiigAooooAiuLaG6iMU8YdOuD2PqD2PvVPN3p33t93aj+IcyoPcfxj9frWjRVxm0rPVARwXEVzEJYJFkQ9CpqSqU+n5lNxayfZ7k9WAyr/7y9/r196SHUCJVt72P7PO3C85ST/db+h5puCesP8AggXqKKKzAKKKKACiiigAooooAKKKgvZvs1jcT/8APONm/IUpSUU2yopyaSIdK+ayMv8Az2leT8Cxx+mKu1DZw/ZrKCD/AJ5xqn5DFTVFKLjBJ9iqrUptoKKKK0MwooooAKKKKACiiigAqrqKltOn2jLKhdfqOR+oq1SMAylSMgjBpNXRUJcsk+wKwdQy8gjIrOnkfUZntLdituhxcTKcEn+4p9fU9vr0r28813axWFs7I0SiO5nHVMcbR/tHH4Dn0rWggjtoUhhQJGgwqitY+4lJ7/1r/kE48snHsOjjSGNY41CIowqgYAFOoorMkKrX1y1tb5jUPPIQkSH+Jj0/DufYGrBIAJJwB1JqjZA3twdQcfu8FLZT/d7v9W7e2PU1cEvieyGWrO2W0tUhDFmGS7nq7Hkk/U1BH+81qZu0UCKPqxJP8lq9VOyRxNeSupUyT/LkY+UKFH8ifxrnqtylG/f9H+pvDSMvT9S5RRRWhmFFFFABRRRQAUUUUAFFFFABRRRQAVQvonglF/bqWdF2yxr1kT2/2h1H4jvV+iqjLldwauRRSpPEksTBo3AZWHcU+s5x/ZVw0g/48ZWy4/54uf4v909/Q89zjRpyjbVbEBRRRUiCiiigAooooAKjmhiuImimjWSNuqsMg1JRQnbVAZ3l3encxb7u1H/LNjmVB/sk/eHsefc9Kt211DdxeZA4Zc4I6FT6EdQfY1NVS5sEml8+F2guQMCVO49GHRh9fwxWnNGXxb9/8/6+8C3RVCO/eCRYdQRYXY4WVf8AVyH2P8J9j+BNX6mUXHcAoooqQCiiigAqlqvzWiw/89pY4/wLDP6Zq7VK7/eajYRejPKfwXb/ADcVlW+Brvp9+hrR+NPtr92pdooorUyCiiigAooooAKKKKACiiigAqhd3Mss/wBhs2xNjMsuMiFT/wCzHsPx+rry6k80Wdpg3TjJYjIiX+8f6Dv+dTWlrHZweXHk5O5nY5Z2PUk+taJKK5n8v8wINMiW2S4tVziKU4LHJIIDZJ79TV6qifJqsy9pIlYfUEg/zWrdZJ3NKnxX9AooqneXMnmLaWuPtMgzuIyIl/vH+g7n8aqMXJ2RmR3BOo3LWKH/AEdMfaWHf0jH17+3HetIAAYAwBUNrbR2lusMQO0ckk5LE9ST3JNTU5yT0WyLSsFFFFQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEZVdSrAMpGCCOCKzUJ0qRYJCTZMcRSE/wCqPZGPp6H8PStOmyRpLG0cih0YYZWGQRVxlbR7CauFFZod9KYRzsz2ROEmY5MX+y59PRvz9a0qJRt6EBRRRUgFFFFABRRRQAUUUUANkjSWNo5EV0YYKsMgiqH2e50/mzJntx1t3b5l/wBxj/I/mK0aKqM3HToBBa3kN4rGJjuU4dGGGQ+hB5FT1VurGK5ZZQWiuFGEmj4Ye3uPY8VCL6WzYR6iqqvRblB+7b/e/uH68e9VyKXwfd/W4GhRQDkZHSiswCqSfvNblPaGBVH1ZiT/AOgirtUrD5576b+9PtH0VQv8wayqayivP9P87GtPSMn5fr/lcu0UUVqZBRRRQAUUUUAFFFFABVO9u2iZbe3USXco+RT0Ud2b2H69Kde3n2YJHEnmXMvEUeevqT6Adz/Wizs/sys8j+ZcSnMspH3j6D0A7CtIpJc0vl/XYB1naLaREbi8jndJK3V29T/h2qxRRUNtu7AqXHyahaSf3t8X5jd/7JVuqmofLBHL/wA85Ub8NwB/Qmi7vDE629uglunGVTPCj+8x7D+falGLcrI0lrGL+X9feLd3ZhKwwoJLqT7iZ4A7s3oo/wDrU+ztBaRtlzJNId0spHLn+g9B2pLOzFsGd3MtxJzJKRy3sPQDsKtVcpJLlj/w4kgooorMYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjKrqVYAqRggjIIrN8uXSuYleax7xjl4f931X26jtnpWnRVxnbToJq5FFLHPEssTq8bDKspyDT6pTWMkMrXFgypIxy8Lf6uQ+v8Ast7j8Qaktr6O4ZoirRXCjLwycMPf3HuOKbjpeOxOxZoooqBBRRRQAUUUUAFFFFABSEBlKsAQRgg96WigDONnPYndp5Bi72rn5f8AgB/h+nT6VYtb6G6LKu5Jk+/DIMOv1Hp7jirNV7qyhuwpcFZE+5Khw6fQ/wBOlacyl8f3/wBbgWCQASegqlpIP9lwOesoMp/4GS39apahd3dhp1yl0vmKY2WO5QYGSMDeO3PccfStaAIsEaxkGMKApB4IxxWEotVfRfn/AMMa7U/V/l/w5JRRRVmQUUUUAFFFFABVa8u1tI1wpkmc7Yol6u3+Hqe1Ou7qOzh8xwWYnaiLyzsegHvUNnaSLI13dENdOMYHIjX+6v8AU9z+FXGKS5pbfmA6ytGhLz3DCS6l++46AdlX0A/XrVuiiplJyd2AUUyaaK3iaWaRY415LMcAVSzc6lwvmWtmf4j8ssg9v7o9+v0604wvq9hjL+4a7jnsrNBLJtKySH7sXHr3b2/PFWdNgijtElQlnmUSPIxyzkjqT/ToKsQwRW8KxQoqRqMBVHFQabxZLH/zyZo/wViB+gFKUle0djVL3PR/n/wxboooqSQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACoLqzhvFUSqdynKOpwyH1BHSp6KabTugM3zbuw4uVa5gH/LeNfnX/eUdfqv5CrkM8VxEJYZFkQ9GU5FTVSn02J5TPA721weskXG7/eHRvx5q7xlvo/6/rT7iWuxboqh9qu7Ti8g8xB/y2t1JH4p1H4Zq1BcwXUfmQSpInqpzik4NK/QkloooqQCiiigAooooAKKKKAKWpfOttB/z1uEGPZTvP8A6DTGsJLVjLpzKmTlrd/9W30/un3HHtT5/wB5q9onaOOSU/XhR/Nqu1FKTU5P5fh/wWaz0jFfP8f+AVba/juHMLK0Nwoy0MnDfUdiPcVaqC6tIbxAsyZKnKsDhkPqCOQaq+fdafxdbri2H/LdF+dB/tqOv1H5d635VL4d+3+X9feZGjRTIpY5o1kidXRhlWU5BFPrPYAqG5uYrSBppSQo4AAyWPYAdyadPPFbQPNM4WNBkk1TtoJLmdb27QqR/qIT/wAsx6n/AGj+nT1zcYq3NLYB1pbSyTfbbwDzyMRx5yIV9B6k9z+HSr1BOBk9KotqccjFLONrtwcEx/cU+79Pyyfaj3pu/wDSAvVSk1DfI0NlH9plBwxBxGh/2m/oMn2pv2Ge65v5/k/594SVT/gR6t+g9qvxxpDGscaKiKMBVGAPwp+7Hzf4FJFOHT8yrcXkn2idTlRjCR/7q/1OTV6iiolJy3KsFVLX5Lu8j/6aCQfQqP6g1bqp9zVx/wBNYP8A0Fv/ALOoZpDZryLdFFFMzCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqrcadbXEnmlCk3/PWJij/AJjr9DxVqinGTi7pgZ/lajb/AOrlju0H8Mo2P/30Bg/kPrR/aaRf8fcE9qfWRMr/AN9LkD8cVoUVfOn8S/T/AIH4E8pDDPDcJvhlSRD/ABIwI/SpKrTaXZTv5j2yCT/nonyv/wB9DBqP+zpY/wDUahcoP7rkSD/x4Z/Wi0Hs7ev9foKzLtFUtmqx9JLSf6o0Z/PLfyo+0agv39OVv+uU4P8A6EFo5OzX3/5hYu0VR+3zD7+mXi/9+2/kxo/tId7O9H/bEmj2chCwfvNXu37RpHEPryx/9CFXaxtP1AYuJfst23mzs2VhPQfKP0UVb/tFz93T71v+AKP5kVlRpycL23u/vZrV+K3ay+5F6iqX2u8b7mlzD/rpLGP5MaN2qydIbSEepkaQ/lgfzrX2b6tfejMbLp7RSNPYSCCVjl4yMxyH3HY+459c1ja54+0LwtHD/wAJFcNp80rbUjMbSb8YyVKg5UZ61tNa3hQtcan5agZYwRKgA+rbq82+IXg/w14itrbVvEWp32m2duSsV38z71JGd+QQgPG3p1zz0rR6wbbvYEjtrTV7LV2hvxN9ogIElrBApkJBGRIwGcEjpnoPfpp+dqFx/qbZLZf79w25v++VP82FYFvqGneCNE0q1LyHSHC29oTAwmBxwCoX5iQCegbrwa6m1uoL22juLeQPE4ypwR+YPIPseRROS3S0/r+tRpFYaVHKd17LJdn+65xH/wB8Dg/jmryqqKFUBVHAAGAKWisZTlLcqwUUUVIBRRRQAVUu/kubOX0kKH6Mp/qBVuqmpcWLyf8APIrL/wB8sCf0FKWxpS+NLvp95booopmYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTJZBDC8rfdRSx+gp9UtXOdLmjHWXEI/4GQv8AWoqS5YOXZF0480lHuO0yMxaXaq33/LUt/vEZP6mrdAGBgdKKcI8sVHsKUuaTl3CgnAyelFZjk6vI0SEiwQ4kYf8ALcj+Ef7Pqe/T1rSMb77EiDOsSBj/AMg9DkD/AJ+CO/8AuD9fp1b4nsrDUvDGo2OpNttLmBonIXJBbhdo7tnGAOScYrVACgAAADgAVjQ6Vqb6/wDbtQ1K2uLSNCLa0jtDH5Tk/fLGRtzYyOg9sZOXKV9FsBz/AMNbu51jQo5dZcvq+lO2nTRMP9S8YCluvLMMEt6HA7562fT8zNc2kn2e5P3iBlZP99e/14PvWLp3he+03xpquuw6pbi11MR+fZC0I5QYVg/mfexwTtwfSunpRk47AUYdQxMtveR/Z7g8Lk5ST/dbv9Dg+1XqjngiuYmimjWSNuqsMiqOy707/V77u1H8BOZUHsT94ex59zVWjPbRiNKioba6hu4vMgkDrnB7EH0I6g+xqaoaadmMKKKKQBTJoxNBJEejqVP4in0UDTs7or2MhmsLeRvvNGpb645qxVTT/lili/55zOv4E7h+hFW6S2KqK03YKKKKZAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUb/57ixh/vT7j9FUn+YWr1UW/ea3GO0Nux/FmAH/AKAayrfCl3a/P/I0pb37Jl6iis64mkvZ2srVyirxcTr/AAf7K/7R/Qe+K3jHmZmJM76lM9rAxW1Q7Z5VOCx7op/me3Tr00ERIo1jjUKijCqBgAUkMMdvCkMSBI0GFUdhT6cpX0WwBRRRUAFFFFABRRRQBTudPSWX7RC7W91jHmoPvD0YdGH1/DFMj1B4ZFg1BBDIxwkqn93IfY9j7H8M1fpskaTRtHIiujDDKwyCK0U7q0tRDqKzfs91p3NoTcWw627t8yj/AGGP8j+Yq3a3kF4haJuVOHRhhkPoQeRSlCyutUBPRRRUDKkHyajdx/3gkv5gr/7KKt1Uk+TVYG7SROh+oII/9mq3SRdTo/L/AIH6BRRRTICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqjafvNQv5fRkiH0Vc/zc1erEtbqR4PItMG5uJHlZyMiJCxwx98YwO/0qHFzqRivN/p+ppHSEn6L9f0Ll1cSzzmxs22yYzNMORCp/9mPYfife1b28VrAsMK7UX8SfUk9z70lrax2kAijz1yzMcszHqSe5NTVtKStyx2MgoooqBhRRRQAUUUUAFFFFABRRRQAVVurCK5cSqzQ3CjCzR8MPY+o9jxVqinGTi7oDOW/ltGEepKqAnC3KD9231/uH68e9aPWkZQylWAKkYII4NZ/2OewO7TyGh72rn5f+AH+H6dPpV+7Pyf4f8D8vQRNffKbWX+5Ov/j2U/8AZqt1mT3kV7p1yI9yzxJvaFxh1I5GR9R16VpKwdQynIIyKzacZNM0esE/UWiiiggKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOR+Jehaz4k8D3mm6Fc+ReyMhwX2eaoOSm7tn9cYPBqn8JvC+s+E/BgsNclVrt52lCK+/ykIUBN3fGCeOOab4+udU06X+2dIubkf2PGl5fWqyEpcwF8FdpOAQiynIGeBW3fRxa3faM9rf3ccEsb3Ra2uGjWaEKAAcHuZEORg8HmgDoaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDlPiJ4dv/ABJ4OvbLR5lg1NlHkylihI3Asm4cgMMisv4Q+F9f8J+EZLHxBOGmecyQwCTzPITaBt3dOoJwOB+Jrv688+J6KltDqcIC3GkmG9eVOGCi4jAUnqVK+dx0yKd2wPQ6K57xjrJ0fw3qVxG+14LSSd2B5VQpx+LHCj6k9qXwVoaaB4T021aMC7+zRm6kI+eSXblix6nknrSA6CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmuwRGcgkKMnaCT+AHJp1FAGDolxFq8mryyWl0iSzeVsvLSSEtEECgAOoypO88f3uayfh/ompaHDf2F+GNvYTGz0935L2wJkVs/SQJ/2z9q7SigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuM1PT9R8R6J4rtLjR7i0lvbRrazM8sJDqIzs+47YPmM557Y/Ds6KAOC8TaTrd74cstK/s2a+luri1fVJoZYlURI4Z0Xe6k/dAHGDknqTXeKSyglSpIzg9R+VLRQAUUUUAFFFFABRRRQAUUUUAf/Z) +![md5:fa18d9847c58e109fb932f00db88746a](fa18d9847c58e109fb932f00db88746a.jpeg) The angle conditions imply that the tangent to \((ABC)\) at \(B\) is parallel to \(\overline{AP}\) . Let \(\infty\) be the point at infinity along line \(AP\) . Then @@ -278,7 +278,7 @@ A set of lines in the plane is in general position if no two are parallel and no Suppose we have colored \(k\) of the lines blue, and that it is not possible to color any additional lines. That means any of the \(n - k\) non- blue lines is the side of some finite region with an otherwise entirely blue perimeter. For each such line \(\ell\) , select one such region, and take the next counterclockwise vertex; this is the intersection of two blue lines \(v\) . We'll say \(\ell\) is the eyelid of \(v\) . -![](data:image/jpeg;base64,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) +![md5:c724c2f83391afd556beceb016467d89](c724c2f83391afd556beceb016467d89.jpeg) You can prove without too much difficulty that every intersection of two blue lines has at most two eyelids. Since there are \(\binom{k}{2}\) such intersections, we see that @@ -289,7 +289,7 @@ so \(n\leq k^{2}\) , as required. Remark. In fact, \(k = \sqrt{n}\) is "sharp for greedy algorithms", as illustrated below for \(k = 3\) : -![](data:image/jpeg;base64,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) +![md5:6e4fb5522055627179287f3f85b3f5d8](6e4fb5522055627179287f3f85b3f5d8.jpeg) diff --git a/IMO/md/en-IMO-2015-notes.md b/IMO/md/en-IMO-2015-notes.md index 7bf4f46023245fd3b25b59a461497bcf58c36468..8003044441151f10d702ff1cdfe97fa521b887da 100644 --- a/IMO/md/en-IMO-2015-notes.md +++ b/IMO/md/en-IMO-2015-notes.md @@ -84,7 +84,7 @@ We say that a finite set \(S\) of points in the plane is balanced if, for any tw For part (a), take a circle centered at a point \(O\) , and add \(n - 1\) additional points by adding pairs of points separated by an arc of \(60^{\circ}\) or similar triples. An example for \(n = 6\) is shown below. -![](data:image/jpeg;base64,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) +![md5:8fd3c9da3744bf2f62099b54e16eefeb](8fd3c9da3744bf2f62099b54e16eefeb.jpeg) For part (b), the answer is odd \(n\) , achieved by taking a regular \(n\) - gon. To show even \(n\) fail, note that some point is on the perpendicular bisector of @@ -163,7 +163,7 @@ Let \(L\) be on the nine- point circle with \(\angle HML = 90^{\circ}\) . The ne In the inverted statement, we want line \(ML\) to be tangent to \((AQL)\) . -![](data:image/jpeg;base64,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) +![md5:a2ad515233044656be8ba52efc9db81b](a2ad515233044656be8ba52efc9db81b.jpeg) Claim — \(\overline{LM} \parallel \overline{AQ}\) . @@ -194,7 +194,7 @@ Since \(\overline{AO} \perp \overline{FG}\) for obvious reasons, we will only ne Let line \(FG\) meet \((BDF)\) and \((CGE)\) again at \(F_{2}\) and \(G_{2}\) . -![](data:image/jpeg;base64,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) +![md5:c60ce49f3b2b98d97f3d046f5df0f67e](c60ce49f3b2b98d97f3d046f5df0f67e.jpeg) Claim — Quadrilaterals \(FBDF_{2}\) and \(G_{2}ECG\) are similar, actually homothetic through \(\overline{FG} \cap \overline{BC}\) . diff --git a/IMO/md/en-IMO-2016-notes.md b/IMO/md/en-IMO-2016-notes.md index b69be409df4f7876e4ec6c416dc7b3d922e2d874..f046ebb7a76a5b06edd30ad8fe52a3a7f3268f75 100644 --- a/IMO/md/en-IMO-2016-notes.md +++ b/IMO/md/en-IMO-2016-notes.md @@ -95,7 +95,7 @@ Proof. The proof uses three observations: These three facts, together with \(F\) lying inside \(\triangle ABD\) , are enough to imply the result. \(\square\) -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGMAc8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAoqC4u0tiqlJJJG+6kaFif6D8cUW8k8oZprcQj+Eb9zfjjgfgTUc8ebl6lcjtzE9NWRHLBHVipwcHODUM9jBdOGnVnAGNhc7PxXOD+NSRQRW6bIYkjT+6igD9KE5X20D3beZFPdmGTYlrcTNjP7tRj8yQKkglklQtJbvCc8K7KSfyJqWihRd7tg2rWsVp2vRJi3it2THWSRgc/QKf51Jbm4Kn7QsStnjy2JGPxAqWihRd73By0tYrzyXiSfuLeGRMclpipz9Np/nTreSaRT58AiYHgBwwNTUUKLve/5f5BzK1rfmV576G2kCS+YuRncImK/99AYFPguYLpC8E0cqg4JRgcGpaMAZ460JSvvp/XmF4221Ciq09tM8nmQ3ckTYxtwGQ/UH+hFSQeeI8XBjLg9YwQCPoen60KTvZoHFWumS0VGs8LyvEkqNIn3kDcr9RUlUmnsJprcKKKKYgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAopCQqknOAM8DNU4nu7uRZMG2twchWA8yT6/wB0e3X6VEp2aXUqMbq5YuJXhj3RwvM5OAq4H5k9BUdul2XMlzIgyMCGMcL9WPJP5D2qzRQ43le4KVlawUUUVZIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBBcWdvdY86MFl+644ZfoRyKkijMUSoXd8fxOck/Wn0VKjFPmS1K5m1a+hDBdw3JdY3+dDhkYEMv1B5qaq9xZw3JVnBWRPuSIcMv0P9OlSzTR28RllcJGvVj0FJOST5/vG0nblH0UAggEHIPeirICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvdXa221Qpkmf/VxL1b/AepqRp41nSAt+9cEhQM8Dv7CnCNBKZQi+YQFLY5IHbP41ErtWiylZO8kJD5vkr52wSY+YJ0H0p9FFUlZWE9WFFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABQQCMEZBoooAq29mLWVvJkK25H+pIyFPqvoPbp9KtUVTuoJkl+1WpJkAw8TN8sg9PY+h/P2zsqcfdWn9f1Yu7nL3nr/X9XLlFNjfzI1fay7gDtYYI+tOrRO5AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSNnaduM44zUdxPHbQPNKcKo7DJPoB7mm2n2gw77kgSOd2wdIx2XPf6+ualyXNylcr5eYbZ2n2dWeR/MuJDmSQjqfQegHYVZooojFRVkKUnJ3YUUUVQgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIriSSKBnii81152A4JHfHvilgnjuYEmibcjDINSVFFbRwyyyR5HmkMy54z649T3+lQ+bmutily8tnuQ6pNBbaTeXF07pbwwvJIyOUYKoJJBBBHA7VyfgvSLvUPA2l3up6pqn9pXduLhplvZMpvyygKSV4UqOVPTmpfiZPcy+D7vSbK2vprnUdltm2tJJQkbuBIzFVIGE3Vfu9Wn/ALM+weHdPumvPL8qBri1kghg4wHdnUZA9FyTjGO9WSJ4F1y51/w2Li9ZHure4mtJZUXaspjcrvA7ZAB+pNdJWT4Z0C28MeHbPSLVmdLdPmkb70jklmc+5Yk/jWtQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVW+MzQiG33B5W2eYP+WY7t+XT3xUylyq5UVzOxPiKdVbCSBWyp64I70+mQxJBCkUShUQBVA7Cn01truJ+QUUUUxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWfqOu6PpAzqWq2Nn/ANfFwkf8yK5t/ip4UaRodPu7nVZ148rTrOWcn6FV2/rQB2lFcBceMvFOolf7C8F6ikX8T6lJFat+ALMf/HTSwQ/Ei4DK97oWnJJzv2yXcq/nsT8hWfP71rF8ml7nbT31pasFnuIo2PIVmGT9B1po1G0+zvcPMIoUODJMDGv5tiuN/wCEL1i9O7V/HGtzN6WAjslI9PkXd+tSQ/DHwjHMJ7jSvt8/eW/nkuS31DsR+lLmlffT0/4P6D5VbbX+vIl1X4peE9KnEJ1a1uXPa1mWY59MJls/hVNvihvgaS08Ka/Ov8ErW4gib0+eUr+gNbkKafpjNZaHplqsw4ZLeNY44/8AfKjj6cn2rl/FgutQ1G18L2d00msaghe6uVGFsLTOHZB/CzfcU9SSeRihN3vf8v8AIbta1jkPhj498ca944ktrmHzdHkWUrHIoWOELnASULliDx1OeT2r3W3ed1JnhWJs8BX3Z/QVkJottZ6PbafpyLbJZqotdo/1ZUYH19D65PrWjpt8uoWYmA2uCUljzyjjqKI76P5Cltt8x8908EgUWlxIuM74wpH0xnP6U+3uFuFLKkqYOCJIyp/XrUtFUlK976E3VrW1G713lNw3AZ255p1QT2VrdEGe3ikYdGZQSPoe1Ot7eO2QpGX2k5w7s2PpknAoTlfVaA1G2j1JaKqzzXcUhKWyzQ/7D4cfgeD+dTQTCeMOEkTttkUqRQppvlBwaVySiiirJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKit50uYFmjzsb7pI6j1+hpl7FLPaPDEwVpMKWzjCk/MR74zip0RY0VEAVVGAB2FRd81uhVly36i0UUVZIUUUUAFFFFABRRRQAUUUUAFFFVr3UbLTovNvry3tY/788qoPzJoAs0VyF18UPBttN5Ca3FeTdo7GN7kn6eWCKrnx9qF4Cuj+CdfuW7NdolmhHrmRs/pRcDt6K4c33xGv8GHT/D2kRnqLmeW6kX/vgKv600+FvFF9kar47v8Ayz/yz0y0itcfRsM361PMh8rO5ZgqlmIAHJJ7Vz2o+PfCWk7he+ItNjdesa3Cu/8A3yuT+lYw+GPhuZlfU0v9XlH/AC01K+lmP5Ftv6Vv6d4e0XSMHTdIsbMjvBboh/MClzorkMU/E3TLnB0fRtf1dT0ktNOdY/8AvqTaKafEXjq/ytj4QtLAH7s2p6kp/NIlY/rXXVVe9Xz/ACIUaaUH5wvRB/tHt9OtRKqo7lRpOWxzEmn+PbxDJfeLNN0pB95NO04OMf78zHH5VWh8D2uqSn+0tc8S6tbsMt9ov2ihY/7KR7Mj9Peu4eNJV2yIrjOcMM806pbm3voUlBLbU5iy+Hfg/T2Vrfw7Yb15DyR+Y34lsk/jXSxxpFGscaKiKMKqjAA9hTqKLa3C/QKKKoT6iTM1tYx/aLheG5wkf+839BzTEWri5htITLPIsaDue59B6n2qji81P73mWdoe3SaQf+yD9fpUtvpwWYXN1Ibm6HR2GFT2Re316+9XqAMbWtV0/wAI+HZ7+SPbBAvyQxj5pXJwqKO7MSB+OaoeC9CutOtLnVdY2truquJ71hyIhj5IV/2UHH1zWXYf8V14v/tVvm8P6JKyWI6rdXY4ab3VOVU+uSDXeUxBWRKJNJ1Z79BmxmUfahn7hHAfH48+2T6Vr01wDGwK7gQfl9fapa1T7FJ6Ndy4DkZHSisXRLsIEsmJ8sp5lqzdTH3Q+69Ppj3rareMlJXRi04uzCiiimIKKKKAKcttcpK0trcnk5MU3zIfoeq/qParUZcxqZFCuR8yg5AP1p1BGRg9KiMFF3RTk2rMKKoraTWjr9klBhz80EpJCj/ZPUfTkfSr1OMm91YJJLZ3CiiiqJCiiigAooooAKKKKACiiigAooooAMgEDPJorzvULy5m+J/g/UPNcWN4t9bwRZ+UoIlZZPq20kf7O3oc16JQBDDcCaeeNVOIWCls9SRkj8AR+dTVXs7c20BVmDOzs7MO5JJ/+t+FWKiHNy+9uVO3N7uwUVHNPFbxNLPKkUa9XdgoH4muav8A4keDdNbZP4jsXfONlvJ57Z/3Y9xqyTqaK4k/EZbo7dI8L+ItR3fcl+xeRE3/AAOUr/KmnWfiFqA/0Tw5o+lD+9qN+05P/AYlx/49Suh2Z3FFcKdC8bX5zf8AjRLRG+9DpmnImPo8hZqafhrpF0MaxqGt6yP7t/qUjKP+AoVX9KXOh8rOk1LxX4e0csuo65p1q69UluUVv++c5rBPxT8OzgjSYtV1lh1XTtOlkH/fRAX9a0NO8G+GdI2mw0HToHXpItuu/wD76Iz+tblLnHyHJHxb4svT/wASzwNPFG33ZtTvo4MfVF3tTTbfEbUARPrOhaSvY2Vm9y/5yMB+ldfRU87Hyo44+Bbu8IbWPGPiG8Y/fjhuFtYm/wCAxKP51PZ/DXwdZSmVdAtZ5T1ku83DE+uZC1dVRSux2RDbWltZwiG1t4oIh0SJAoH4CpqKKQwooooAKa7rGjO7BVUZLE4AFOqCa0S4mR5WZkTkRn7u71PrUybt7pUbX1HwzLcRCVA21um4EEj1pYYY4IxHEiog6ACn0U0u+4m+2wUUUUxBUNzdQ2kJlnkCIOMnufQDufaq02ol5mtrCMXE6nDtnEcX+83r7Dn6U6204RzC5uZDcXXaRhgJ7Iv8I/X1JoAh23mp/wCs32dof4AcSyD3P8A9hz9KvwQRW0KwwRrHGvRVGBUlFABXHeNNSu724tvCGjzGPUtTUtcTp1tLQHDyezH7q+57Yre8Qa5aeHNDutVvSfKgXIReWkY8KijuSSAPrWT4L0O7sre51nWQDrurMJrrHIhXHyQr7IOPc56013Eze0zTbTR9MttOsYRDa20YjjQdgP5n371boopDCiiigDOk05zDKI3VJEmM1s/9xjyQfYktn2NaVheLfWol2lHBKyRnqjjqD/nkYNQTz+Q0OVyskgQnP3cg4/XA/Gq07f2be/bxxbyYS6Hp2WT8Oh9vpRSaj7q6BUTfvM2aKKK3MQooooAKKKKACoriAXEWzzJIznIeNsEH/PY8VLRSaTVmNNp3RWtWugzRXKKxUfLMnAcfTsf0qzRVO4uZbOYvMA1o2PnUcxH/AGvVfft9Oai6px1en9f1+ZVnOWhcooBBAIOQaK0ICiiigAooooAKKKKACsPXHv7me30uHS7mayuXC3l2ksSrHFzkYLhiTwDgcBiRyAK3KKAOC8TeHbmLxB4avNE0a6uBYXvnTutym0RFGRlAkkBzyDwMY71k/Gfxh4p8J6fpcvh6IxxTO32i58kS7CNu1CCCBnLc+3Fep1BcW32iS3YthYpN5XH3vlIA/M5/ClJtLQaSb1PMPD/irxx4o02ykF94d0n7TCrqXgllmbI+8qsVQ564BbFbZ8Ha5fD/AIm/jrWpf9mwWOyX/wAcUt+tZ1vZQeEPFDeG7uFH8O6vI02lmRcrbz9Xt/YHlk6dwMmunGn3dlzpt6yoOlvc5kj+gP3l/M/Spdy4xTVzLi+GPhJZhPdaY2oXA6y6hcSXBP1DsR+ldHY6Vp2lps0/T7W0T+7bwrGP0AqouufZzt1O1ksz080fPEf+BDp/wICtWOWOaNZInV0YZVlOQfxqHfqUOooopAFFFFABRRRQAUUUUAFFFFABRRRQAUhOATgnHYUjuscbO7BUUZJPQCo7WZ7iHzWjMYY5QHrt7Ejsfapclfl6lcrtcht4JJphdXQ2uP8AVxZ4jB9fVj6/gPe5RRRGKirBKTkwoorPm1FpJWt9PjE8ynDuTiOI/wC0e59hz9KoktXN1BZxebPIEXOB3JPoB1J9hVLy7zUuZt9paH/lmpxLIP8AaI+6PYc+46VNbacsUv2m4kNxdYx5rjhR6KOij9fUmrtAEcMEVvCsUMaxxqMBVGAKkoooAKKK4/xpql3cTWvhPRZTHquqKTLOvWztRxJKfQ/wr05PXigCnaf8V14x/tA/N4e0KYraj+G7vBw0vusfRT/eyQa7yqelaXaaLpVrpthEIrW2jEcaDsB6+pPUnuTVyhggooooAKKKKAILuA3Ns0Yba2Qyt6EEEfqKmZVdSrAFSMEHoRS1DaTm5txIV2ncykZ6EEg/yqdFLzf6f8OVq4+S/X/hiLTJWtZm0yVidi7rZyfvR/3fqvA+mPetWsu+tmuIlaJglxE3mQuezD19iMg+xq3Y3i31qswUo2SskZ6ow4Kn8a3i7mMlYs0UUVRIUUUUAFFFFABQQCMEZFFFAEU00VpBvf5IkwCQOFHT8BUoORkdKCAQQRkHqDVa0tmtA8avmDOYlPVB3XPp6enSo95S8itHHzLNFFFWSFFFFABRRRQAUUUUAFQfaCb82wXgRCQtn1OAP0NT1AtuVv5bktkPEkYXHTBY5/8AHh+VRLmurFRtrczfFHh228UaBPplwzRM2HgnT78Eq8pIp9Qf0yO9Yfg/XbnVbGex1VFi1zTJPs1/EOhbHyyL/suPmB+vpXa1wnjnT7jR7+DxvpULST2SeVqVug5ubTOScd2T7w9sj2qmhwlZnU9azn0aFJGmsZJLGY8kwHCsf9pD8p/LNWrO8t9QsoLy0lWW3nQSRyL0ZSMg1PUG9kzPF/qVlxeWgu4h/wAtrQfN+MZ/oT9KvWeo2eoKTa3CSFfvL0Zfqp5H406ql3ptpesrzRDzV+7KhKuv0Yc0rEuPY06KxQurWH+pmS/hH/LOc7JR9HAwfxH41Yt9ctJZhBPvtLg9IrgbC3+6ejfgTSsSaVFFFIAooooAKKKKACiiql7JIdltASss2RvH8Cjq368e5FTKXKrlRjzOxNPAlwqrICVVg23PBx0z6j/CpabHGsUSRoMKgCjnPAp1NLr1E30Cobq7gs4vMnkCgnAHUsfQAck+wqrLqDzStb6eizyqcPIT+7jPue59h+OKktdOSGX7RM7XF0RgyuPuj0UdFH0/HNMRB5V3qXNxvtLQ/wDLFWxJIP8AaI+6PYc+/atCGGO3iWKGNY41GFVRgCn0UAFFFFABRRRQBm69rdn4d0S61W+YiC3TcQv3nboqqO5JwB9axvBWiXlrDda7rSj+3dWYS3C9Rbxj/VwL7KOvqc9azoP+K68Zfaj83h7QZysA/hu70dX91j6D1Yk5Nd5T2EFFFFIYUUUUAFFFFABUNtAbdZF3ZDSM446bjnH61NUMM5kuLiIrjymABz1yoP8AWpdrpvcpXs0iaqEzf2be/bRxbS4S5H909Fk/DofbB7VfpHRZEZHUMrDBBHBFWnZkNXLdFZemStbStpkzEmNd1u7Hl4/T6r0Ptg961K2WpkFFFFABRRRQAUUUUAFFFFAFO1nkWd7S5bdKo3RvjHmJ6/UdD+B71cprRozq7KpZfukjkfSlV1fO1g2Dg4OcH0qIJxVmypNSd0haKKKskKKKKACiiigAqCO4L3k8G3HlqjZz1zn/AAqeoEtyl9NcbhiREXb6FS3+I/KolzXVvn9zKjazv/WpPQQCCCMg9RRRVknnGlxnwN4sPhuT5dD1Nnn0hz0gk6yW/sP4l+pHJrtar+KvDkHijQJtOmcwy5EttcJ963mXlJF9wf0yO9YvhDXp9Y0+a11OMQa3p0n2bUIB2kHR1/2XHzA+/tUtG1OXQ6KiiipNQqOaCG5iMU8SSxnqrqCD+BqSigDMXTJ7LnTLx4VHS3mzJF9Bk5X8D+FSDWnteNUtHtwP+W8f7yI++QMr+I/Gr9FFiXElhmiuIllhlSSNujowIP4in1jyaPb+aZ7VpLOc8mS3O3d/vL91vxFILzVLHi6t1voR/wAtbYbZB9UJwfwP4VPKS00alyQLWUmYwgISZRjKcdeQRx71x3hC71nXvCthqt/rc1vPfl2gjSCIDZlinBUkkou481H8QPFun2/gTVktr+Fb64hNrFDI/lyBpCEJ2nBGAxOccYrX0PwzpNl/Zd5p87TR2lo1vCRcNJGQdo3LliBjYRx6mjoT1NLSZLyLRIn1eZWuUDedL5ewEAnB29uMGtBWDKGHQjIyMVWu4XuXhix+43bpTnrjkL+J/Qe9Qyag88jQacizSKcPM3+qjPuf4j7D8SKhNuT7FtJRXcs3V5BZxB532gnCqBlmPoAOSfpVPybvUubnda2p6QK37xx/tsOg9h+J7VPa6ekEpuJXa4uiMGaTqB6KOij2H45q5VEjIoo4IliiRUjUYVVGABT6KKACiiigAooooAK5Dxrq15I9r4W0WUpq+qghpl/5dLYcSTH0P8K9Msfat/XNZs/D2i3Wq377be2Tc2OrHoFHqScAe5rD8FaNeQpdeIdbTGuasRJKh5+zRD/VwL/ujr6sT1pruDN/SNJs9D0i10uwiEVrbRiONfb1PqScknuSau0UUgCiiigAooooAKKKKACoYoDHczy7siUqcemBipqhhn82a4TbjyXCZz1+VW/9mqZWur/1oVG9nYmoooqiSrfWzzxK8LBLmFt8Lns3ofYjIPsauWN2l9arMqlTyroeqMOCp+hptUJX/sy++2Di2nIW4HZW6LJ/Q+2D2q4voTJdTZooorQzCiiigAooooAKKKKACqRie31ISxqTDccSgfwuBw34gYP0FXaKmUVK3kVGXLfzCioobhJzKFyGjcowPUHr/Ig/jUtNNNXQmmtGFFFFMQUUUUAFQNcbb6O2K/fjZw2fQqMf+PCp6glty93bzhgPKDAj1BH+IFRPmt7vl+epULX97zJ6KKKskK4PxxYT6HqUPjjTImd7VPJ1W3jHNxaZyWA7vH94e2Rmu8pGUMpVgCCMEHvQCdjItbqC+tIbu1lWW3mQSRyKchlIyCPwqauK0hD4I8VN4XlJGjagXuNGkPSJusltn2zuX2JGSa7WoZ0xd1cKKKKRQUUUUAFFFFAFW7060vtpuIFZ1+644dfow5Fc94q1LW/CXha/1TTnGpfZo9ywXSFmXnBbcpBYDOSDzgda6uobuE3Fu0IYAOQG91zyPxGRSk2ldK4lFN2eh5v8NvHN/wCN9LmbxHJFaJHL5cbRIYkuuMkFieo4yBjOR716pHHHDGscSKiKMKqjAArM8N28MvhSyhkhjeIxkFGUFTye1POhtandpV3Ja/8ATB/3kJ/4CeV/4CRVuHY5VU7mlRWUdTurEY1SyeNB1uLfMsf1IA3L+Ix71oW9zBdxCW3mjljPRkYEfpWbTW5qmnsS0UUUhhRRRQAUUVyPjXV7z/RfDWiSbda1bKrKOfskA/1kx9MDhemWIx0oAop/xXfjPzPveHdAnwn927vR391jz+LHuBXeVR0bSLPQNGtdKsI/LtbaMIg7n1J9STkk+pNXqGAUUUUAFFFFABRRRQAUUUUAFQW8BhadiwJlkL/TgD+lTkgAk9BUNpObm0hnK7fMQPtz0zzUuzkk9ylfldtiaiiiqJCmuiyRtG6hkYEMpHBFOooAq6XM0EjabOxZol3QOx5ki/xXofwPetSsu+tnmjSSAhbmFt8LHpn0PsRwfrVyyu0vrVJ0BXOQyN1RhwVPuDWsXdGclYsUUUVRIUUUUAFFFFABRRRQBWFu6aibhCNkke2Qe4PykfgSD+FWaRiQpKjLY4BOM1Fa3AurWKdQVDqDtPVT3H4dKhcsXyrrqW7yV300JqKKKsgKKKKACoLyc2tnLcBd3lruIz2HX9KnprosiMjDKsCCPUVMk2mluOLSavsOByMjpRUVrE0FpDC772jQKWxjdgYzUtNNtXYNJPQKKKKYjE8WeHIfFGgy6e8hguFYTWlyv3redeUcfQ/oSO9Y/hHX5ta02WDUIhBrOnyfZtQtx/DKP4h/ssPmB6YPtXZ1wXjaym8P6rF4402JnECCHV7eMcz2uf8AWAd3j6/7uRnApNFwlZnV0VFbXMN5axXNvKssEyCSORDkMpGQR+FS1B0BRRRQAUUUUAFQxTmS4njC/LFtXd6sRkj8iPzqaobeDyFcFtzO7OTjHU/0GB+FTLmurbFK1ncZ4X/5Fqx/3D/M1r1keF/+Rasf9w/zNa9dB5j3Cs250OznmNxEHtbk9ZrZtjH6jo34g1pUUBexiltYsP8AWxJqMI/jhAjlA91Pyt+BH0qxaarZ3rmKKXbOv3oZAUkX6qea0qq3unWeoIEu7dJcfdJHzL9COR+FQ4J7GkarW5JRWadP1Ky5sbwXMQ/5YXhyfwkHP5g0ia3DE6xahFJYSngef9xj7OPlP5g+1ZuLRsppkmtaxZ6Bo11qt/JstraMu57n0A9STgAeprB8FaPeKLrxJrce3WtWwzRnn7LAP9XAPTA5b1YnPSs8kePPGWB8/h3QJ8n+7d3o/msefxY9wK72kMKKKKQwooooAKKKKACiiigAooooAiuY2mtZYkbYzoVDehI609EEcaovCqABUTzlbyG3VQS6s7H0Ax/Uip6lWcm1vsU7pJMKKKKokKKKKACqDt/Zl/8Aahxa3BC3A7I3RX/kD+B7Gr9NkjSWNo5FDI4Ksp6EHtTTsxNXLlFZmlzPC7abOxaSIbonY8yR9j9R0P4HvWnWy1MgooooAKKKKACiiigAqC1t/swlUNlHlaRRj7ueSPzyfxqeq89w0NzbJtGyZihPodpI/kaiXKrSf9XKjd3iv6sWKKKKskKKKKACiiigCv8AaGXUBbsoCvFvRvUg4Yfqv61YqGa3WaSGTJV4n3KR9CCPpg1NUR5k3cqVrKwUUUVZIUjKroyOoZWGCCMgilooA840RW8FeKG8Jzk/2Tel7jRZGPCd5Lcn/ZzuX2PWu1qp4u8Nx+KNBksvNNvdxsJ7O6X71vOvKOPx4PsTWX4R1+TXdLdL6IW+r2MhttQtv+ecq9SP9lvvA+h9qlo2pyvob9FFFSahRRRQBBdzNb2skigFwMKD0JJwP1NT1FPCJ0VS2Arq/wBdpB/pUtSr8z7f8OU7cq7lbwv/AMi1Y/7h/ma16yPC/wDyLVj/ALh/ma166DzHuFFFFABRRRQAVx/jrVrnybbwzpBU6zrGY0YjItoR/rJmHoBwPViMZxXRazq9noOj3Wq6hKI7W1jMkjd/YD1JOAB3JFc74J0i8drrxTrcRTWdWAIhbn7JbjmOEenHLdMseelAIu6Z4Qt9A0y3stDup7NIEC7WPmJIe7Mp7nqSMdasnUL2x41KxJQdbi0zIn1K/eX8j9a2qKlxTLU2ina3dtewiW2njmT+8jZx9fSpqq3ei2V1KZwjQXP/AD8W7bH/ABI6/jmqxXWLDqI9Sh9VxFMPw+63/jtZuD6Gsaqe5p0VRtNXs7uXyVcxXA6wTKUkH/AT1/DIq9UGgUUUUAFFFFABRRVe9na3tmdADKSEjU92PApSkoptjjFydkOS323clwWyXVUAx90DP9TU1IM4GTk96WhJLYG29wooopiCiiigAooooAq31u8qJLbkLdQHfET0J7qfYjg/n2q7Z3aXtqk8YIDcMrdVYcFT7g8UyqLP/Zl/9o6WtywWYdkfor/Q8A/gfWrg+hMl1NiiiitDMKKKKACiiigAqG5txcLGN20pIsgOPQ9PxGR+NTU1ywjYoAWwcZ9aUkmrMcW07odRUNpP9qsoLjGPNjV8D3Gamoi1JJoGmnZhRRRTEFFFFABVS3nf7XcW0xy6nfGcY3Ien5HI/L1q3UbQxtMkxX94gIVs9Aeo/QflUSTbTRUWrNMkoooqyQooooAK4HxrZy+G9Yi8cafEzRRoINZgjGTLb9pQO7R9f93IyAK76muiSxtHIqujAqysMgg9QRQNOxlwTxXVvFcQSLJDKgeN0OQykZBB9MVJXFaCH8GeJX8IXDN/Zl1vuNElY5wvWS3J9Uzkf7J9sV2tQzoi7q4UUUUiiGSZlu4YQBhwxOfbH+NTVE0Ia6jn3cojIB9Spz/47+tS1Mb3d/60RTtZWK3hf/kWrH/cP8zWvWR4X/5Fqx/3D/M1r10HmPcKKKKACiiuT8ba3eW0VroGiOBrursYoG6/Zox/rJ29lHT1JHWgDNm/4rzxp9nHzeHfD84M3927vR0T3WPqfVj3rvqzdB0Sz8OaHaaTYIVt7dNoJ+856lm9SSST7mtKgGFFFFABRRRQBXvLG1v4vKu7eOZO28Zx7g9j9Kzzpl/ZHOnXxkj/AOfe8Jcfg/3h+O6tiik0nuNSa2MUa0kDCPU7eSwcnAaT5oifaQcfnitNWV1DKwZSMgg5BFTMqupVlDKRggjIIrKfQYomMmmzyWEhOSsXMRPvGePyxUOn2NVV7mhRWWb3UbE4v7Lzo/8An4swWH4ofmH4bquWl9a38XmWs8cqjrtPI+o6g/Ws2mtzVST2LFRSQJLLFI2SYiSo7ZIxn8s/nTLy4NvB+7AaZzsiU92P9B1PsKlhRooURnaRlUAu3Vj61m2pPlNLNLmH0UUVZAUUUUAFFFFABRRRQAU2WNJonikUMjgqynoQadRQBX0ud42fTrhy0sIzG7dZI+x+o6H8D3rSrKvreSRUnt8C6gO+IngH1U+xHH5HtV6zuo721S4jyAw5U9VI4IPuDkVrF3RnJWJ6KKKokKKKKACiiigCG1txa2scAbcIxtB9qmqvZztcRyM4AKyunHorED9BViohy8q5dip35nzbhRRRVkhRRRQAUUUUAUY99nfmE5NvcEvGeux+rL9DyR+PtV6ioluI2uXt8kSKA2CMZB7j19KiKUNL+n+Rcm562JaKKKsgKKKKAMHxf4bTxPoT2iy/Z72FxcWV0OsE68ow9ux9iazfCXiB9f0ljdwi21SzkNtf23eKZeuP9k9QfQ12FcB4ytZfDGtx+N7GNmt9qwa3BGM+ZAPuzADq0ff/AGc9MUmi4SszraKZDNHcQRzwyLJFIodHU5DKRkEH0p9QdBCZmF8sGBtMZfPfIIH9amqIwg3ST7uVRkx65IP9KlqY3u7lStpYreF/+Rasf9w/zNa9ZHhf/kWrH/cP8zWvXQeY9wooooApatqtnoek3Wp38oitbaMySOfQdh6k9AO5Nc34J0q8nluvFutxGPVtVUeXA3WztRzHCPQ/xN0yT04qldf8V54z+wj5vDugzBro/wAN3eDlY/dY+pH97AIrvqB7BRRRQIKKKKACiiigAooooAKKKKACqF7pFjeOZ5I/KnA4uIm8uRf+BD+vFX6pX0D3hFs4K2hXMzBsFx/dGOR7n0+tRNtLRXKgrvV2PHPBnh74laZ8QrrU9Uea+0359zPeKyXCn7hjUsdp6HoMAEcZr1u21i0uJhAzPb3J/wCWFwux/wAAev4ZrnPAd9eyavr1jdXU88K/Zry0WeQu0UMyEhMnk4KkVDqpfxP8QdO0h5ZBpMNlNeTQo5UTAsI4ySOeW3kYPRc96TgmWqjTO4orNOk3dlzpd8wQdLe6zIn0DfeX8z9Kb/bH2VgmqWslkc480/PCf+Bjp/wICocGjSM0zUopsciSxrJG6ujDIZTkEfWnVJYUUUUAFFFFABRRRQAVRL/2ZqHn9LS5YLL6RydA/wBDwD74PrV6mSxRzwvFKoaN1Ksp6EGmnZiauXaKzdLuHRn0+4ctNAMo7dZY+zfUdD78960q2MgooooAKKKKAIba3Fusiht2+RpOnTJzipqr2c7XMDSMAMSyIMeiuVB/IVYqIcvKuXYqd+Z824UUUVZIUUUUAFFFFABVa7tftAR0fy54zmOTGcHuD6g9xVmiplFSVmOMnF3QUVBdRzSRDyJfLlU7lJGVPsR6UWtybhGDxtFKhw8bdj7HuPelz+9ysfL7vMieiiirJCmyxRzRPFKivG6lWRhkMD1BHpTqKAPOfD/meDvEb+Dbp2NhMGuNEmc5zH1e3JPUpnI6/KfbFdpVHxj4aHibQzbxS/Z9Qt3FxYXQ6wTryrfTsR6E1Q8J+ID4g0gyXEP2bUraQ21/anrDMvDD6HqD6EVLRtTlfQ15pjFPbpgbZWKk+h2k/wBKmqKaETGI7sGNw4/Ij+tS1nG93c3drKxW8L/8i1Y/7h/ma16yPC//ACLVj/uH+ZrXroPMe4VynjbXbyyt7XRNFYHXtXYw2p6iBB9+dvZBz7nHWug1TU7TRtLudSv5hDa20Zkkc9gP5nsB3Ncv4J0y7vLi68Ya1CY9T1RQIIH62doDlIvYn7ze56cUAjoPD2hWfhvQrXSbFT5NumNzfekY8s7HuSSSfrWnRRQAUUUUAFFFFABRRRQAUUUUAFFFNWRHZlV1YocMAeh96VwsQPdE3i20Kh2HzSnPEa/4nsPxrO8UX32PRZ4lgvZZblTCn2W1kmKbsKWOxTgKDu59OOa1oYI7dCsS4BYseckk9ST3qSpgpbyKk439042bTrtfHst5b28iaVd6PHHcSqhBUxyOQoXGdxVyMAZAz3xTfCe+78YeJtTls7y3WR4bW0FxaSRAwRJ1UsoGC7vx146V2lFWTcKCAQQRkGiigDJl0G3V2l0+SSwmPJMH3GP+0h+U/kD71GbnVLHi8sxdRD/lvZj5vxjPP5E1tUVLimUptFCz1C0v0LWtwkm37yg4ZfqDyPxqzUF7pNlfuJJoQJl+7NGSki/RhzVM22r2H+omTUYR/wAs5yI5R9HAwfxA+tZum+hrGqnuadFZ0Gs2skwt599pcnpDcrsJ/wB09G/AmtGotY1TuFFFFABRRRQBUvoJHVLi3wLqA7o8nAb1U+xHH5HtV+0uo7y1juIs7XHQ8FT0IPuDxUdUQ/8AZuoeb0tLpgJPSOToG+jcA++PU1cH0JkupsUUUVoZhRRUN5P9lsp7jGfKjZ8euBmlJqKbY0m3ZBa24tbdYg27BJzjGckn+tTUibii78Bsc49aWiKSSSCTbbbCiiimIKKKKACiiigAooooAKKKKAKqXq/ajbTIYpCT5eTxIPY+vt1/nVqo54IrmIxzIHQ9j/OllkEELSFXYKOQoLH8u9QuaN+Z6FuztyrUfRUcM8VxEJIZFdD3U5qSqTTV0S007MK8/wDGFtJ4V15PG1lGxs3VbfW4UGd0XRJwB1ZM4P8AsntivQKZNDHcQSQzRrJFIpR0cZDKRggjuKYJ21MppxJZGe1ZJQ0e+Jgcq3GQeOoNPhkE0Mcq/ddQw+hFcd4cMnhHxBJ4LvHZrN1a40SdznfD1aAk9Wjzx/skdMV19tCLa3SEMSqcDPp2FYtSU/I6oyTh5kfhf/kWrH/cP8zWvWR4X/5Fqx/3D/M1meNteu9PtbbSNG2tr2rOYLMHkRDHzzN/soOfritzz+pl33/FeeMv7LX5/DuhTB749Vu7scrD7qn3mHrgEV31Zfh3QbTw1oVrpVnkxwr80jfelc8s7HuScmtSmJhRRRQAUUUUAFFFFABRRRQAUUjHapIBbAzgdTVSKO6nlWa4YwopysEbf+hHv9Bx9aiUrNJK5UY3V2yW6jnlVUgkEQJ+d8ZYD/Z7Z9z0p8FvFbRCKJdqjn1JPck9z71JRT5Fzc3UOd8vL0CiiiqJCiiigAooooAKKKKACiiigCK4toLuExXEMcsZ6q6hh+tZh0aez50q9eJR0t7jMsX0GTuX8D+FbFFJq402tjEOryWfy6rZyWwH/LeP95Cf+BAZX/gQFaUU0U8SywyJJG3RkYEH8RVmsubQbUyme0aSxuDyXtjtDH/aX7rfiKh0+xrGr3L1FZZm1aw/4+bZb6Ef8tbUbZPxjJ5/4CfwqzZ6lZ3+4W86s6/ejPyuv1U8is3Fo1Uk9i3TJoY7iF4ZVDRupVlPcGn0UhkGmXEgL2Ny5aeADa56yx9m+vY+49xWjWVfQSMI7m2A+1QEtGCcBx3Q+xH64Par9rcx3lrHcRE7HGcEYIPcH0IPFaxd0ZyViaobq3F1btCWKqxGeOoBBI/HpU1VjcOdSW3UDYIi7nuCSAv8m/KlPltaXXQIXvddNSzRRRVkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEAtIRdfaVTZKeGKnAb6jofxpbi5S2VWkWQoerKpYL9cc1NRU8tk+XQrmu/e1GRTRTxiSGRZEPRlOQafUaW8McryxxIrv99lGC31qO4e6jYNBDHKmPmUvtb8OMH9KXM4xvL8Asm7R/ExvGXho+JdE8q3lFvqdrILnT7rvDMv3T/unoR6Gsvwt4mbX7VDPD9mvI90F3bH70FxGcOh9uQR7V19vOZ1JaCWFlOCsgH8wSD+Brz/xnZDwr4ig8bWysLF2SHWYk/u/dS4x3K52n1U+2aUryinE0pvklaR0Ok6jaaR4Ii1G+mWG1toGklkbsoJ/ziszwTp13qF1c+M9YhaPUNTQJaW79bS0Byif7zfeb3I6Yrm9Emj+Ic2naVbsJfDekbZ79x9y7uM7o4fdV4ZuvOBXrFanIwooopiCiiigAooqGe7t7YDz54489N7AZpOSirsaTbsiaiooLiO5QvHv2g4yyFc/TI5FRTQXE0hAujFD/djUbj9WOf0H41LnpeOo1DW0tC1VOT7bPI0cYW2iBx5hwzt/ujoPqc/SrEMKW8QjTdgc5ZixP1J5qShxclrp6f1/kNSUXpr6jUXYiruLYGMt1P1p1FFUQFFFFMAooooAKKKKACiiigAooooAKKKKACiiigAooooAKp3ul2WobTcwKzr92QfK6/RhyKuUUAYxs9VsObW5W+hH/LK6O2T8JAOfxH40sWtW3miC7WSxuDwI7kbQ3+633W/A1sUyaGK4iaKaJJY26o6gg/gahwTNI1GhlUVf+zdQ39LS7cB/SOU8A/Ruh98epqM6I9p82lXklsB/ywk/eQn2wTlfwI+lQ3F9LFA8GtWDJCylWngzLERjknHzL+I/Go5XF3NOeMtDoqijt1juJpsktLjOewAwAP1P41y58ZaXYxJp1zrFn/aUhEdrvmXNwGOEfr68H3B9q6wZAAJyfWndOVu2v5hqlfuLRRRVkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUybyxDJ523ytp37umMc59qfXO+OP7Wm8JalZaJp815fXdvJBHskjQRlht3Euy9iTxnpQBxXhKXw5b+B31zV7BHe/uJ7tVa1JMaO58pEYjCDbtxyAM9R1rWg8DXev/AAuGheIbkpqU8RH2kN5skK+ZvjQvn59o2g888896v31rqsng0+GtJ0OaDfZixSe9lhEUSbNhYhHZiQOgA5PcV0mi6Yui6Fp+lpK8y2dvHAJH6vtULk/XFJpPcabWxwvw2+G8Hg2y1DT7q/nurp5llZopZIU2bcLhVbnndkn0rr59ADSboLy4jXH3XuJm/wDagrW8pPOE20eYF27vbrin1PK2rSf6FcyTvFGTBocaoRcTzu2eDHczoMfQyGmT6ITJ/o8sgTH/AC0u5yc/g9bNFNw0tcSlrexk2+hoFP2iWdmzx5d3OBj8XNMn8OxSyAx32oQpj7qXUhP5sTWzRRyJq36hzWd/0MuLQbZEw1xfyn+895ID+jCl/sCw8zzMXW/GN32ybOPrurTopqKSsJtt3M7+xLP+/ef+Bs3/AMXR/Yln/fvP/A2b/wCLrRopiM7+xLP+/ef+Bs3/AMXR/Yln/fvP/A2b/wCLrRooAzv7Es/795/4Gzf/ABdH9iWf9+8/8DZv/i60aKAM7+xLP+/ef+Bs3/xdH9iWf9+8/wDA2b/4utGigDO/sSz/AL95/wCBs3/xdH9iWf8AfvP/AANm/wDi60aKAM7+xLP+/ef+Bs3/AMXR/Yln/fvP/A2b/wCLrRooAzv7Es/795/4Gzf/ABdH9iWf9+8/8DZv/i60aKAM7+xLP+/ef+Bs3/xdH9iWf9+8/wDA2b/4utGigDO/sSz/AL95/wCBs3/xdH9iWf8AfvP/AANm/wDi60aKAM7+xLP+/ef+Bs3/AMXR/Yln/fvP/A2b/wCLrRooAzv7Es/795/4Gzf/ABdH9iWf9+8/8DZv/i60aKAM7+xLP+/ef+Bs3/xdH9iWf9+8/wDA2b/4utGigDO/sSz/AL95/wCBs3/xdH9iWf8AfvP/AANm/wDi60aKAM7+xLP+/ef+Bs3/AMXR/Yln/fvP/A2b/wCLrRqG7uBa2rzFSxHCqOrMeAB9TgUpSUVdjUeZ2R5X4v8AgdZ+JvFcGr2+qyWUBCi4hKtIzYPVXLZBPA9uvtXX+MdcvLKfSNA0lxHquszNFFMw3fZ4kXdLLg9SF6A8ZI+ldLaRyRWsaTSGSXGXY9yeTj29Paud8SaPdv4k0HxHYwG5k0wzRzWysFeSKVQCULEDcpUHBIyM89KIu6uwas7IuReEdHitDELYPcFeb6U77kt/f80/NuzyDnjtipvDGm3GkeGNOsbyVpbyOFTcyM24vKfmkbPfLFjTmuLrUlEMFtc2kRI8yeYBG29wgznJ6Z4AzkEkVqUxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAAeRg1RsN1u72L5Ii+aJj/FGeg+o6fl61eoqHG8lLsUpWTXcKKjhnjuI/MibK5I6YIIOCCKkqk01dCaadmFFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTB5cwBGxwrcHrgjj8xUV40/kbLYfvZDsD9kHdj9P54qS3gS2gSGMYRBgZ6/U+9RduVraFWSje+pJRRRVkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAVVtnivjNCVEco/fIf7wHDD37H8PTm1RVSW5ktbsCbH2aTAVwPuN6N7HsfXj0rP3aa8i/eqPzLdFFFaEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVFc3EdrA0smcDgADJYnoB7mpahe2SS6jncljGMIp6KT1b644//XUz5re7uVHlv72xJGWaNWddjEAlc5wfTNOooqiQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApskaSxtHIoZGGGVhkEU6ihq4bEcs0VuimRgilgoJ6ZPT6VJTXRJY2jkUMjDDKRkEVDa272waPzS8Ix5YblkHpnuPSovJStbQq0XG/UsUUUVZIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRUVxcxWsXmStgZwABksewA7n2pLaSaWLfNF5RJ4TOSB2z71PMubl6lcrtzdCvCs15cLcTB4oUP7qI8Fj/eb+g/PnpeoopQhyoJS5mFFFFWSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBSlhuYJmntWMgY5eB24Pup7H26H261cU7lBIKkjOD1FLTZFLxsquyEjAZcZHvzUKPLdr7i3LmsmOoqnDLdxyrDcxCQHhZ4hx/wJeoP0yPpVynGXMhSjysKKKKokKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiobi6gtUDTSBcnCjqWPoB1J+lJtRV2NJt2RNUBu4vtQtlJeXGWCjOwf7XpUjr5sRXc6hhjKnBH+FNgt4bWLy4UCL147n1J7n3qXzNq2w1y213HNDG8qSsimRAQrEcrnrin0UVVkhXCiiimIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACobiKSVAIp2hcHIYAEH2IPUVNRSaurMadndFe3e73FLmKPgcSRtw34HkH8/rViiq9xZQXRVpUO9fuurFWX6Ec1NpRjZa+pV1J66ehYoqG3geAMrXEkyn7vmYyv4gDP402e6aBwPss8iYzvjAbHtjOf0o57RvLQXLd2jqWKKit7mO5QtHv4OCHRkI/AgGpapNNXQmmnZhRRRTEFFFFABRRUctxDAMzTRxj1dgP50m0ldjSb0RJRUVvdQXSF7eVZVBxuQ5H51HO955my3hi24/1kjkfkAOfzFS5q3MtfTUag72enqWarXF9bWzhJJMynpGgLOfoo5qSBZljxPKsjk5yibQPbGTT1jRWZlRQzcsQOT9aHzNaaeoLlT11EhkMsSuY3jJ/hfGR+RNRRWUEMzTKm6Zusjks2PQE9B7CrFFPlTtfWwczV7aXCiiiqJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACq09haXMnmTW8bSYxvxhsfXrVmiplGMlaSuOMnF3TsRW9tHbIVi37Sc/M7N/Mmo57QzSbxdXEXGMRsAP1FWaKThG3LbQfPK/NfUighMCFTPLLk5zIQSPyAqOezE8m4z3CDGNschUfpVmihwi1yvYOeSd0Q29slspVGlbJyTJKzn/x4mla3geXzWhjaTGN5UE4+tS0U+SNrW0Dmle9woooqiQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z) +![md5:26cb2317697d09c7c53e847f69688264](26cb2317697d09c7c53e847f69688264.jpeg) @@ -108,7 +108,7 @@ Proof. Fact 5. Using these observations as the anchor for everything that follows, we now prove several claims about \(X\) and \(E\) in succession. -![](data:image/jpeg;base64,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) +![md5:edd9ba49b9a9cef20d8d7acafe0c403b](edd9ba49b9a9cef20d8d7acafe0c403b.jpeg) Claim — Point \(E\) is the midpoint of arc \(\overline{AD}\) in \((ABMD)\) , and hence lies on ray \(BF\) . @@ -287,7 +287,7 @@ The following solution was communicated to me by Yang Liu. Imagine taking a larger circle \(\omega\) encasing all \(\binom{n}{2}\) intersection points. Denote by \(P_{1}\) , \(P_{2}\) , ..., \(P_{2n}\) the order of the points on \(\omega\) in clockwise order; we imagine placing the frogs on \(P_{i}\) instead. Observe that, in order for every pair of segments to meet, each line segment must be of the form \(P_{i}P_{i + n}\) . -![](data:image/jpeg;base64,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) +![md5:88ee31ae597ab2845bc6fbd3b99d93f5](88ee31ae597ab2845bc6fbd3b99d93f5.jpeg) Then: diff --git a/IMO/md/en-IMO-2017-notes.md b/IMO/md/en-IMO-2017-notes.md index b2dc76f00ae7f3b0eda75cabe327d73821845ded..f0c514d3fc3663bdf7970feeb04f5dad391ed734 100644 --- a/IMO/md/en-IMO-2017-notes.md +++ b/IMO/md/en-IMO-2017-notes.md @@ -211,7 +211,7 @@ Now, we may assume the rabbit reveals its location \(A\) , so that all previous The rabbit chooses two points \(X\) and \(Y\) symmetric about \(\ell\) such that \(XY = 2\) and \(AX = AY = n\) , as shown. The rabbit can then hop to either \(X\) or \(Y\) , pinging the point \(P_{n}\) on the \(\ell\) each time. This takes \(n\) hops. -![](data:image/jpeg;base64,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) +![md5:2f28dba88466d319fd97595368726483](2f28dba88466d319fd97595368726483.jpeg) Now among all points \(H\) the hunter can go to, \(\min \max \{HX, HY\}\) is clearly minimized with \(H \in \ell\) by symmetry. So the hunter moves to a point \(H\) such that \(BH = n\) as well. In that case the new distance is \(HX = HY\) . @@ -264,7 +264,7 @@ Similarly, \(\overline{TK}\) is tangent at \(T\) iff \(\triangle ATS \sim \trian The two similarities are equivalent because \(RS = ST\) the SAS gives \(KR \cdot TA = RS \cdot RT = TS \cdot TR\) . -![](data:image/jpeg;base64,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) +![md5:513d766afbd4d47158240705a06fe102](513d766afbd4d47158240705a06fe102.jpeg) Remark. The problem is actually symmetric with respect to two circles; \(\overline{RA}\) is tangent at \(R\) if and only if \(\overline{TK}\) at \(T\) . @@ -299,7 +299,7 @@ Fix \(N \geq 1\) . A collection of \(N(N + 1)\) soccer players of distinct heigh Some opening remarks: location and height are symmetric to each other, if one thinks about this problem as permutation pattern avoidance. So while officially there are multiple solutions, they are basically isomorphic to one another, and I am not aware of any solution otherwise. -![](data:image/jpeg;base64,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) +![md5:d6dc56a88992b47ae2ef6c0e50673640](d6dc56a88992b47ae2ef6c0e50673640.jpeg) Take a partition of \(N\) groups in order by height: \(G_{1} = \{1,\ldots ,N + 1\}\) , \(G_{2} = \{N+\) \(2,\ldots ,2N + 2\}\) , and so on. We will pick two people from each group \(G_{k}\) diff --git a/IMO/md/en-IMO-2018-notes.md b/IMO/md/en-IMO-2018-notes.md index 80290146e2a3967cf5a1ca4f12ef56d6c3020a48..5be9421d42c8ef26a5eeb53d8e2a36adaa8caf74 100644 --- a/IMO/md/en-IMO-2018-notes.md +++ b/IMO/md/en-IMO-2018-notes.md @@ -81,7 +81,7 @@ We present a synthetic solution from the IMO shortlist as well as a complex numb \(\P\) Synthetic solution (from Shortlist). Construct parallelograms \(AXFD\) and \(AEGY\) , noting that \(X\) and \(Y\) lie on \(\Gamma\) . As \(\overline{XF} \parallel \overline{AB}\) we can let \(M\) denote the midpoint of minor arcs \(\overline{XF}\) and \(\overline{AB}\) (which coincide). Define \(N\) similarly. -![](data:image/jpeg;base64,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) +![md5:0a453f3f94603188dbe8502bbb279b12](0a453f3f94603188dbe8502bbb279b12.jpeg) Observe that \(XF = AD = AE = YG\) , so arcs \(\widehat{XF}\) and \(\widehat{YG}\) have equal measure; hence arcs \(\widehat{MF}\) and \(\widehat{NG}\) have equal measure; therefore \(\widehat{MN} \parallel \widehat{FG}\) . @@ -121,7 +121,7 @@ Thus, \(\overline{{F G^{\prime}}}\parallel \overline{{D E}}\) , so \(G = G^{\pri \(\P\) Synthetic solution from Derek Liu. Let lines \(F D\) and \(G E\) intersect \(\Gamma\) again at \(J\) and \(K\) , respectively. -![](data:image/jpeg;base64,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) +![md5:d3c76eb3787e95b83ebc6620b989a919](d3c76eb3787e95b83ebc6620b989a919.jpeg) Notice that \(\triangle BFD \sim \triangle JAD\) ; as \(FB = FD\) , it follows that \(AJ = AD\) . Likewise, \(\triangle CGE \sim \triangle KAE\) and \(GC = GE\) , so \(AK = AE\) . Hence, @@ -210,7 +210,7 @@ Let \(n = 2018\) and \(N = 1 + 2 + \dots +n\) . For every number \(d\) not in th Consider the directed path starting from the top vertex \(A\) . Starting from the first number, it increments by at least \(1 + 2 + \dots +n\) , since the increments at each step in the path are distinct; therefore equality must hold and thus the path from the top ends at \(N = 1 + 2 + \dots +n\) with all the numbers \(\{1,2,\ldots ,n\}\) being close by. Let \(B\) be that position. -![](data:image/jpeg;base64,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) +![md5:b0185dbef3ded5bf86196a44784d730e](b0185dbef3ded5bf86196a44784d730e.jpeg) Consider the two left/right neighbors \(X\) and \(Y\) of the endpoint \(B\) . Assume that \(B\) is to the right of the midpoint of the bottom side, and complete the equilateral triangle @@ -281,7 +281,7 @@ Claim — Let \(p\) be a prime. Consider the sequence \(\nu_{p}(a_{N + 1})\) , \ A cartoon of the situation is drawn below. -![](data:image/jpeg;base64,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) +![md5:72174e134bcfd9f69d13daee898ba7f8](72174e134bcfd9f69d13daee898ba7f8.jpeg) @@ -381,7 +381,7 @@ In other words, the problem is to show (1) and (2) implies (3). Henceforth drop apostrophes. Here is the inverted diagram (with apostrophes dropped). -![](data:image/jpeg;base64,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) +![md5:0c12083019dab121af7f84e9492c3762](0c12083019dab121af7f84e9492c3762.jpeg) Let \(Q\) denote the reflection of \(P\) and let \(Y\) denote the second intersection of \((BQC)\) and \((AQD)\) . Then diff --git a/IMO/md/en-IMO-2019-notes.md b/IMO/md/en-IMO-2019-notes.md index 677d8861ae2b99d1649165e0158d39e95ea25adf..a8b896b3c54e5ad9892bdaab58dc748661679736 100644 --- a/IMO/md/en-IMO-2019-notes.md +++ b/IMO/md/en-IMO-2019-notes.md @@ -103,7 +103,7 @@ Note the angle condition implies \(P_{1}C X A\) and \(Q_{1}C Y B\) are cyclic. Letting \(T = \overline{{P X}}\cap \overline{{Q Y}}\) (possibly at infinity), it suffices to show that the radical axis of \(\triangle C X A\) and \(\triangle C Y B\) passes through \(T\) , because that would imply \(P_{1}X Y Q_{1}\) is cyclic (by power of a point when \(T\) is Euclidean, and because it is an isosceles trapezoid if \(T\) is at infinity). -![](data:image/jpeg;base64,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) +![md5:aa480fbe952d93ea485d73abebb48269](aa480fbe952d93ea485d73abebb48269.jpeg) To this end we use barycentric coordinates on \(\triangle A B C\) . We begin by writing @@ -132,7 +132,7 @@ This completes the proof. \(\P\) Second official solution by tricky angle chasing. Let lines \(A A_{1}\) and \(B B_{1}\) meet at the circumcircle of \(\triangle A B C\) again at points \(A_{2}\) and \(B_{2}\) . By Reim's theorem, \(P Q A_{2}B_{2}\) are cyclic. -![](data:image/jpeg;base64,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) +![md5:1f5aca7c220bfe7c5ea57664e3e10c36](1f5aca7c220bfe7c5ea57664e3e10c36.jpeg) Claim — The points \(P\) , \(Q\) , \(A_{2}\) , \(Q_{1}\) are cyclic. Similarly the points \(P\) , \(Q\) , \(B_{2}\) , \(P_{1}\) are cyclic. @@ -247,7 +247,7 @@ The main claim is that \(G_{n}\) can be described explicitly in terms of \(G_{n An illustration of \(G_{4}\) is given below. -![](data:image/jpeg;base64,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) +![md5:8602b5602e0a22ef7153faa8f53916bd](8602b5602e0a22ef7153faa8f53916bd.jpeg) To prove this claim, we need only show the arrows of this directed graph remain valid. The graph \(X\) is correct as a subgraph of \(G_{n}\) , since the extra 0 makes no difference. As for \(Y\) , note that if \(s = s_{1}\dots s_{n - 1}\) had \(k\) ones, then the modified string has \((n - 1 - k) + 1 = n - k\) @@ -282,7 +282,7 @@ We present five solutions. \(\P\) First solution by complex numbers (Evan Chen, with Yang Liu). We use complex numbers with \(D = x\) , \(E = y\) , \(F = z\) . -![](data:image/jpeg;base64,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) +![md5:896ec53c8bce053ce4b0744dd3eb359f](896ec53c8bce053ce4b0744dd3eb359f.jpeg) Then \(A = \frac{2y z}{y + z}\) , \(R = \frac{- y z}{x}\) and so @@ -318,7 +318,7 @@ This gives \(\overline{PT} \perp \overline{O_{B}O_{C}}\) as needed. \(\P\) Second solution by tethered moving points, with optimization (Evan Chen). Fix \(\triangle DEF\) and \(\omega\) , with \(B = \overline{DD} \cap \overline{FF}\) and \(C = \overline{DD} \cap \overline{EE}\) . We consider a variable point \(M\) on \(\omega\) and let \(X\) , \(Y\) be on \(\overline{EF}\) with \(\overline{CY} \cap \| \overline{ME}\) , \(\overline{BX} \cap \| \overline{MF}\) . We define \(W = \overline{CY} \cap \overline{BX}\) . Also, let line \(MW\) meet \(\omega\) again at \(V\) . -![](data:image/jpeg;base64,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) +![md5:ae95bc2f90a25bc670be0cfff825fe8e](ae95bc2f90a25bc670be0cfff825fe8e.jpeg) Claim (Angle chasing) — Pentagons \(C V W X E\) and \(B V W Y F\) are cyclic. @@ -400,7 +400,7 @@ Dividing out, We perform inversion around \(\omega\) , using \(\bullet^{*}\) for the inverse. Then \(\triangle A^{*}B^{*}C^{*}\) is the medial triangle of \(\triangle D E F\) , and \(T^{*}\) is the foot from \(A^{*}\) on to \(\overline{{D I}}\) . If we denote \(Q^{*}\) as the second intersection of \((P C^{*}E)\) and \((P B^{*}F)\) , then the goal is to show that \(Q^{*}\) lies on \((P I T^{*})\) . -![](data:image/jpeg;base64,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) +![md5:bb3fcbdce69a86edf09216d3d1c19a63](bb3fcbdce69a86edf09216d3d1c19a63.jpeg) Claim — Points \(Q^{*}\) , \(B^{*}\) , \(C^{*}\) are collinear. @@ -431,7 +431,7 @@ In \(\triangle PEF\) , the \(P\) - symmedian meets \(\overline{EF}\) and \((PEF) The proof proceeds in three steps. Suppose the line through \(L\) perpendicular to \(\overline{EF}\) meets \(\overline{EF}\) at \(W\) and \((PEF)\) at \(Z\) . -![](data:image/jpeg;base64,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) +![md5:5e9834381d36b3c9afc2d27efb37494b](5e9834381d36b3c9afc2d27efb37494b.jpeg) 1. Since \(\angle ZEP = \angle WLP = \angle WDP\) , it follows \(\overline{ZE}\) is tangent to \((PDNE)\) . Similarly, \(\overline{ZF}\) is tangent to \((PDMF)\) . diff --git a/IMO/md/en-IMO-2020-notes.md b/IMO/md/en-IMO-2020-notes.md index 2302ce2d7515e6faedcb87ecd9d4545ef5979896..475e95fdccec3cc6c5a8889592f9bd52d2ebbf98 100644 --- a/IMO/md/en-IMO-2020-notes.md +++ b/IMO/md/en-IMO-2020-notes.md @@ -73,7 +73,7 @@ Prove that the following three lines meet in a point: the internal bisectors of Let \(O\) denote the circumcenter of \(\triangle PAB\) . We claim it is the desired concurrency point. -![](data:image/jpeg;base64,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) +![md5:45d4d24773621536fa266242661b5b8a](45d4d24773621536fa266242661b5b8a.jpeg) Indeed, \(O\) obviously lies on the perpendicular bisector of \(AB\) . Now @@ -144,7 +144,7 @@ The first key idea is the deep fact that So, place all four pebbles of the same colour in a box (hence \(n\) boxes). For each \(k = 1,2,\ldots ,2n\) we tape a piece of string between pebble \(k\) and \(4n + 1 - k\) . To solve the problem, it suffices to paint each string either blue or green such that each box has two blue strings and two green strings (where a string between two pebbles in the same box counts double). -![](data:image/jpeg;base64,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) +![md5:1bc74fa2d44df283ddab0e7035d4390c](1bc74fa2d44df283ddab0e7035d4390c.jpeg) We can therefore rephrase the problem as follows, if we view boxes as vertices and strings as edges: @@ -171,7 +171,7 @@ Answer: \(k = n^2 - n + 1\) When \(k = n^2 - n\) , the construction for \(n = 4\) is shown below which generalizes readily. (We draw \(A\) in red and \(B\) in blue.) -![](data:image/jpeg;base64,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) +![md5:34880a6d0c65909858dad136d146732a](34880a6d0c65909858dad136d146732a.jpeg) To see this is sharp, view \(A\) and \(B\) as graphs whose connected components are paths (possibly with 0 edges; the direction of these edges is irrelevant). Now, if \(k = n^2 - n + 1\) it follows that \(A\) and \(B\) each have exactly \(n - 1\) connected components. @@ -240,7 +240,7 @@ We make the following the definitions: The figure is shown below with \(\mathcal{T}\) drawn in yellow, and points of \(S\) drawn in blue. -![](data:image/jpeg;base64,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) +![md5:53606e7fd2dda108cd7fdb9444211ecd](53606e7fd2dda108cd7fdb9444211ecd.jpeg) diff --git a/IMO/md/en-IMO-2021-notes.md b/IMO/md/en-IMO-2021-notes.md index cb37268e35bcfe80077c1076999962c55f8d37bc..bdc9b274f74156a13b194101325a09494fcac823 100644 --- a/IMO/md/en-IMO-2021-notes.md +++ b/IMO/md/en-IMO-2021-notes.md @@ -164,7 +164,7 @@ Proof. Notice that \(\angle EMB = 180^{\circ} - \angle AMB - \angle EMZ = 180^{\ Let \(N\) be the other intersection of circles \((ACD)\) and \((DEX)\) and let \(R\) be the intersection of \(AC\) and \(BM\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAywDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKryX1tG5jMoaQdUjBdvyGTTPtNzJ/qbNgP70zhAfwGT+YFZurHa/3alqnLexboqp5N7J9+6SMekMfI/Fs/yo/s+Jv9bLPKf9qVgD+AwP0o5pPaP3/wBMOWK3f9fgTyzxQjMsqRj1dgKg/tKzP3J1k/65Av8A+g5qSOytYW3R20KN6qgBqej94+y/H/IPcXd/h/mVPt6H7kFy3/bBl/mBR9rmPTT7kj1zGP5tVuijlk95fd/TDmitl/X4FX7TcnpYSD6yJ/jR9ouv+fFv+/q1aoo5JfzP8P8AIOdfyr8f8yr9puR1sJPwkT/Gj7XN30+5H4xn/wBmq1RRyS/mf4f5Bzr+Vfj/AJlT7eo+/b3K/wDbFm/9BzR/aVoPvy+X/wBdVKf+hAVbootPv+H/AAQvDt+P/AI4riCcZhmjkH+wwP8AKpKhltLac5lt4pD6sgNRf2fCv+qaaI9tkrAD8M4/Si9RdEFoPqy3RVTyLyP/AFd4HHpNED+q4/lR9ou4/wDW2e8esEgb9Gx+maPaW3TX9eVw5L7NP+vOxboqsmoWzOEaTy3PRJQUJ+gOM/hVmqjKMtmS4uO6CiiiqEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVaS9jEhiiVp5RwUj52/U9B+NTKSjuOMXLYs1BNdwQMEeT94eQigsx+gHNR+RdXHM83lJ/zzgPP4v1/LFTQ28NupWGNUB5OByT6k96nmnLZW9f8i7RW7v6f5kPm3k3+qhWBf70xyf8AvkH+ZH0o+wLJ/wAfM0s/+yx2r/3yMA/jmrdFHs0/i1/rtsHtGvh0GRxRwoEijVEHRVGBT6KK0StojNu+4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADXRJEKOqsp6hhkGq39nxx/wDHs8lufSNvl/75OR+lW6KmUIy1aKjOUdmVN97D9+NLhfWP5G/InB/MfSnxXsEz+WH2y/8APNxtb8j1+tWKjlhinTZNGrr6MM1PLJfC/v8A8/8Ahx80Xuvu/r/Ikoqp9mng5tpyy/8APKclh+DdR+OfpSrfIriO5U27ngb/ALrH2bp+HX2o9pb4tP67hyX+HUtUUUVoQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFMlljgjMkrhEHUmk2krsEr6IfVea7jifylDSzEZEUfJ+p7Ae5xUebm8+7utoPUj9434fwj9fpViC3it02RIFBOT6k+pPc+5qOaUvh0Xf/AC/r7zTljH4tyv8AZ57nm6k2J/zxhYgf8CbqfwwPrVqONIYxHGiog6KowBTqKcYKOvUmU29OgUUUVZIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUjKrqVdQykYIIyDS0UAU/sklvzZybV/54yElPwPVf5e1PivEeQQzK0M56I/8AF/unof5+uKs0yWGOeMxyoroezCs+Rx+D7un/AAP60NOdS+P7+v8Awf61H0VT23Nnyha4g/uMf3i/Qn7348+56VYgniuI98TbhnB7EH0I7H2pxnd2ejE4WV1qiSiiirICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqRnlvGKWrbYgcNcdc+yev16fXtMpqJUYuRJPdbJPJhTzZyM7AcBR6sew/X0FJFaYkE1w/nTDocYVP90dvr1qaGCO3j2RrgZySTkk+pPc1JUqDbvMpySVohRRRWhmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVae0WSTzomMM4GPMUdfZh3H+RirNFTKKkrMcZOLuirFdMJBBcoIpj90g/LJ/un+nX69atUyWGOeMxyoGQ9Qaq+ZLY8TsZLbtKfvJ/veo/wBr8/Wo5nD4tu/+f+ZdlP4d+3+X+RdopAQQCCCD0Ipa1MwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKR3WNGd2CqoySTgAUkkiRRtJIwVFGSSeAKqJG964lnUrADmOFhy3ozD+Q7d+ekSlbRblxjfV7CYfUeWDJadlPDS/X0X26n6dbqqFUKoAAGAB2paKIwtq9xSlfRbBRRRVkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBSMb2J326F7fq0I6r7p/8AE/l6G1FKk0SyRsGRhkEU+qcsMlvI1xaru3HMsI6P7j0b+f61lZ09Vt/W3+X3Gl1Pff8Ar+rlyio4Zo54lkjbKn/OD6GpK0TTV0Q007MKKKKYgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKa7rGjO7BVUZJJwAKd0qin/EwkErf8eiHMa/8APQj+I+3p69fSonK2i3ZcY31ewsaNeyLPMpWFTmKJhyT/AHmH8h269el2iinGPL6ilLmCiiiqJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKk0UkErXNspYn/WxD+P3H+1/Pp6EWIpUniWSNtyN0NPqnMjWkrXMSkxMczRj/0MD19R3+vXJrkd1t/Wv+f3+ui99We/9af5FyikVldFdGDKwyCDkEUtamYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVVupXLLbQHE0gyW/wCea92+vYe/0NTKSirlRjzOwyXN9M1up/0ZDiZh/Gf7n09fy9augADA4FMhiSCFYoxhFGBT6UItavdjlK+i2CiiirICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooApf8g+Yf8+kjf8Afpj/AOyk/kfrxdprosiMjqGVhgg9CKrWztBL9jlYsQMxOTy6+h9x+vB9ayXuO3R/h/XT7uxo/fV+v9f1/TLdFFFamYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEVxOtvC0jAnHAUdWJ4AHuTTLSBolaSUgzyndIR0HoB7D/wCv3qOL/TLvzzzDCSsQ/vN0LfhyB+PtVyso+++bp0/z/r9TSXurl69f8v6/QKKKK1MwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqG6t/tEWFbZIp3Rv/db1/ofYmpqKUkpKzGm07ohtZ/tEWWXZIp2yJ/dYdv6j2Iqaqd1/oswvF+5gLOB/d7N+H8ifQVcqYN/C90VNL4lswoooqyAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqreSMdltExWWbI3Dqij7zf0HuRVkkKCSQAOSTVWyBlL3jggzY2A/wxj7v58n8fas5u/uLr+RcNPefT8yzHGkUaxxqFRQFUDsKdRRWiViNwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAAgEEEZBqnaEwSNZMfuDdET3T0/Dp9MetXKrXsTmNZohmaE7lA/iHdfxH649KzqK3vLp+RcHf3X1LNFMikSaJJYzlHAZT6g0+tE76ohq2jCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKl5+/eOzHSX5pP8ArmOo/E4H0J9Kt1Usf3vmXh6zH5P+uY+7+fJ/4FVus6evv9/y6f5mk9Pd7fmFFFFaGYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBTt/wDR7uS1P3HzLF+fzD8Cc/8AAvarlVb5G8kTRgmWBvMUDqw7j8RkfXFWEdZEV0IZWAII7is4e63D+v6/4BpPVKQ6iiitDMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqt+S0K26khrhvLyOy9WP5A/jirVVIv32ozS/wwr5S/U4LH/0Efgazqarl7/0/wAC6ej5uxaACqAAABwAKWiitCAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKp2X7l5rQ9IjuT/cbkfkcj8BVyql1+5ube57bvKf6N0/8ex+ZrOppaXb8v61+RpDW8e/9f8AALdFFFaGYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAMmlWCCSZ/uopY/QVHZRNDaRrJ/rDln/wB4nJ/Umo7794YLf/nrIN3+6vzH+QH41brNazb7f1/kW9IJd/6/zCiiitCAooooAKKKKACiiigAooooAKK4WLX9Q0b4hXmka1qTy2Mlktzpo8lA0p3bXQ7VBZwSuAMZB710eiWmsRCSfVtSadpGYx24iRRCpOVBZR8zAcEjA68d6ANeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKiuIRcW0kLHAdSuR296lopNJqzGm07ogtJjcWkcjDDkYcejDgj8wanqpbfury6g7EiZfo3B/VSfxq3U023HUqokpaBRRRVkBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFRf3uqSN2hiCD6scn9Av51bqpYfNFJN3mlZvqAdq/8AjoFW6zpaxv31/r5F1Pit2CiiitCAooooAKKKKACiiigAqhq2taZoNk15qt9BZ26g/PM4GcDOAOpPsOav0UAeYeO5nXRdM8fLcRpLpdzHc2cAkXD27/LImc4Z3Q546bQBnkt6Lp+o2eq2MV7YXMVxbSqGSSNgwP8A9f2q1RQAUUjMFBLEADqTUXn7v9UjP7jgfmf6VEqkY6N6/j9w0myaiods7/edYx6IMn8z/hR9mjP390n++xI/LpU8838Mfv0/zf4DsurHNPEhw0ig+meaT7Qp+6kjfRCP51IqKgwqhR6AYpaLVX1S+X/B/QPdIvNc9LeT8Sv+NG+btCPxepaKPZy/nf4f5BddiLfP/wA8V/77/wDrUeZKOsB/BhUtFHs5fzv8P8guuxF5zDrBKPyP8jR9piH3iy/7ykfzqWijkqLaX3r/ACsF12GpIkgyjqw9jmnUx4YpDl41J9SOaZ5G3/VyyL7Z3D9aOaot1f0/yf8AmFkTUVDmdOqrIPVeD+R/xpVnjZgpJRj/AAuMH/69CrRvaWj8/wCrP5ByvoS0UUVqSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAVLj93fWsvZi0LfiMj9Vx+NW6q6iD9hkcDJixKB67SGx+lWgQQCOQazjpNr5/wBfcXLWKfy/r7wooorQgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqG7m+z2c8wGTHGzAfQVNVTUPmtlj/wCekqLj1G4Z/TNRUbUG0XTSckmTW0P2e0hhH/LNAv5DFS0UVSSSsiW23dhRRRTEFFFFABRRRQAUUjMqKWZgqgZJJwBWWdftZTtsI59Qbp/oibk/7+EhP/HqTaQm0tzVorL83W7gZSCysl6hpnaZvxVdoH4MaoX9ldXOnXRu9euYrbyn86WGOOJFXByR8pbgd91RKqo6dQV3sjTs9d0jUWmWx1OzumgbZKIJ1kKN6EAnBq1vlk+4uxf7zjn8B/jXi/wu+GB8MeIHm1W8mZr7TxLaxRO8J27hvEm1h8y5j4yR8x64r1r/AIR3S/4rYv7vK7fzNKUZye+n9df8vvHdrZF9YEDBnzIw7vzj6dhUtZf/AAjulj7tu6f9c5nX+Ro/sG3XmK61GNvUX0rfozEfpTjBQ+FCcpPc1KKy/wCztSi5t9alf/ZuoI5F/wDHAh/Wg3GtWw/e2NveKP4raXY5+iPx/wCP1d/IXN3RqUVmR69Y71juWkspWOAl2hjyfQMflY/7pNadCaew009gooopjCiiigAooooAKKKKACkZVdSrKGB7EZpaKTSaswIfJZP9S5X/AGW5X/61Hn7DiZfL/wBrOV/P/GpqCMjBrL2XL/Ddvy+7/KxXNfcKKh8kx8wEKP7h+6f8KckwZtjApJ/dP9PWmqmvLNWf4fJ/0wt1RJRRRWpIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAIQGUqRkEYIqtpxJ0+FWOWjXy2PqVO0/qKtVUsvlku4uyTkj/gQDfzY1nLSafqv6+4tawa/r+tS3RRRWhAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVS6+a8sk9JGc/QIR/NhVuqj/Nq0P+zA+fxZf8DWdTb5r8y6e/yf5FuiiitCAooooAKKKzrvVCtwbKxh+1XoA3LuwkQPQyN2+nJPYY5pN2E2luXbi4htIHnuJUhhQZZ5GCqB7k1mjUL7UP8AkG23lQn/AJertSAfdY+Gb8do9M0+30gGdLvUZvtl2pyhZcRxH/pmnb6nLe9adLVi1fkZa6FbysJNQkk1CQHI+0kFFPtGMKPrjPvWi8iRKM/RVA5PsKSSXaQiDdIei/1PtRHFtJdjukPVv6D0FZuTb5ae/V9v83/T87UUtWN8ppeZvu9ox0/H1/lWVr3+nT2OiLyt25kuR/07xkFh9GYohHo7elbdYmhf6fd3+tNytw/kW3/XCMkAj/ecu2e4K+lXCmo+vcG7j/EcUiWMepQIXuNOk+0qqjJdACJEHqShYAf3tp7VqxSxzwpNE6vHIoZGU5DA8gin1ieH/wDQXvNEbj7C4a3Hrbvkx49lIeMf9c/erEbdFFFABRRRQA2SNJY2jkRXRhhlYZBHuKzDoi23zaVcyWB7RKN8J9vLPAH+7tPvWrRSaTE0mZJ1aaw41e3EMY/5e4SWh+rd0/Hgf3q1EdJEV0YMjDKspyCPUU6sp9Jezdp9IkW3YnL2zf6iQ9+B9w/7S/UhqWqFqvM1aKoWOqJdytbSxtbXqDL28nXH95T0Zfcfjg8Vfpp3GmnsFFFFMYUUUUAFFFFABRRRQAU141kXDDI7e1OopNKSswvYg3vB/rDuj/v9x9f8anByMjpRUBRoDuiGU7xjt7j/AArH3qfnH8V/mvx9StH6k9FNR1dQynIPenVsmmrokKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVY/l1S4Xs0Ubfjlgf5CrVVX41aH/agfP4MmP5ms6mln5/8D9S4dV5f8EtUUUVoQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVVTnVZv9mCP9Wf8Awq1VSLnU7o+kcY/9CP8AWs57x9f0ZcNpen6ot0UUVoQFFFY0sj65O9tA7JpsbFJ5lODOw4MaHso6Mw+g7kJuwm7Cvdz6vI9vp0phtVJWW9UZLEdVizwT6t0HQZOcaNpZ29hbrBbRiOMZOOpJPUknkk9yeTUscaQxJFEipGgCqqjAUDoAKdQl1YkurCopJCCI4wDIfXoB6mllkKYVRmRvuj+p9qWOMRqecseWY9zWUpOT5I/N/wBdfy+40StqwjjEYPJLHlmPUmn0UVpGKirITdzI8RXM0emraWshS8v5BawOvVCwJZx7qgd/+A1pW1tDZ2sNrboI4YUWONB0VQMAflWRa/8AEy8T3N2ebfTk+yQ+hlbDSt74GxQex3ityqEFYmtf6BqFhrK8JE/2W6/64yEAMf8AdcIc9lL1t1Dd2sN9Zz2lwgeCeNo5EP8AErDBH5GgCaisrw9dTT6Z9nu3L3tlIbW4Y9WZcYf/AIEpV/8AgVatABRRRQAUUUUAFFFFAFW+0+DUIlWYMHQ7opUO1429VPY/oehyKqW1/PaXMdjqhXzHO2C6UYSf2I/hf26HqO4GrUN1awXts9vcRiSJxhlP+eD3z2pNdUS11RNRWTaXM9hdJp1/IZA/FrdN/wAtcc7G/wBsD/voDPUGtahO407hRRRTGFFFFABRRRQAUUUUAFFFFAELo0bGSIZJ+8n97/69SI6yIGU5Bp1QupicyxgkH76jv7j3rFr2b5o7dV+q/VfPfet9CaikVg6hlOQeQRS1qnfVEhRRRTAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqlxxf2bepdPzXP/ALLVuqt3/wAfNj/13P8A6Les6nw/Nfmi6e/yf5FqiiitCAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBM+vX+dLRSd6BC0UUUDCqkH/IQu/wDgH8qt1Ug/5CN2PZD+h/wrOfxR9f0ZcNpen6ot0UVR1S+eytlECCS7nfyreM9Gc9z/ALIALH2Bq27GbdtSvfyyahdnSrWRkVQGvJkODGh6Ip7O36Dngla04YY7eFIYY1jijUKiKMBQOgFQadYpp9oIVcyOSXllb70jnqx+v6DAHAq1Ql1YkurCmySCNCx59AOpPpTqhj/fSeafuDiMevv/AJ/rUVJNWjHd/wBXLS6sdFGVy78yN19vYVJRRVQioKyBu4VR1jUP7L0m4vBH5kiKFiizjzJGIVE/4ExUfjV6sO7/AOJn4ntbMc2+nJ9rm9DK2ViX3wPMYjsQhqhF7R9P/svSbe0aTzJFBaWXGPMkYlnf/gTFj+NXqKKACiiigDEn/wCJZ4pguOlvqafZ5PQTIC0Z/Fd6k/7KCtuqGtae2p6TPaxuI5yA8Eh/5ZyqQyN+DAH8KdpOoLqmlW96EMbSL88Z6xuDhkPurAg+4oAu0UUUAFFFFABRRRQAUUUUAQXlnDf2r21wpaN/Q4II5BB7EHBB7EVU027mWZ9Nvm3XkK7lkxgTx9A49+zDsfYitKqGqWL3UKS2zKl7bt5lu7dM91P+yw4P59QKlrqiWuqL9FVtPvY9QskuEVkzkPG33o2Bwyn3BBH4VZqik76hRRRQAUUUUAFFFFABRRRQAUUUUAQH/R5M/wDLJzz/ALJ9foanpCAylSMgjBBqKIlGMLHJAypPcf4isV+7ly9H+D7fPp93YrdXJqKKK2JCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqpef6+y/wCu/wD7I9W6q3f/AB8WI/6bn/0W9Z1fh+a/Mun8X3/kWqKKK0ICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACjrRRQAnTilPTjrR1qpqV6um6ZdXrgEQRNJgnGSBwPqelAjnPD/iq9vPFV9oOqQ26OsRnsp4VZRcRrI0b5BJwQyg4yeGBq9pFxqc/ibWEuWtDaQeXHEYo2DPwTkksQMZKn1I7dKwPGenSaDoWh+IrYGW58NsrzFRzLbMAk4/L5/8AgNdJoSsiQyOpV7uD7Qyn+FmdnI/AyY/Cs57xfmaQ2fobdZGm/wDExvpdWbmIAwWg7eWD8z/8CYf98qp7mn63LI1tFYQOUnvn8lWXqiYJdvbCg4PqV9a0Yoo4IUhiQJHGoVFUYCgcACq3Zlu/QfRRSMwRCzHAAyTTbSV2URTEyMIQfvDLn0X/AOv/AI1MAAMAYAqKFSFLuMO5yR6egqWs6Sb997v8uhUuwUUUVqSRXNxDZ2s11cSCOGFGkkc9FUDJP5Cs3w5bTR6a15dRlLy/kN1OjdULABUPuqBF/wCA1Fr3+n3dhoi8rcv59z/1wjIJH/AmKLjuC3pW5QAUUUUAFFFFABWHZf8AEt8S3dgeIL5Te2/oHGFmX25KP7l39K3Kx/EcEv8AZ6X9she606QXUaL1cAEOg92Quo9yD2oA2KKjgniubeOeB1kilQOjqeGUjII/CpKACiiigAooooAKKKKACiiigDJl/wCJZrSTDi1v2EcnokwGFb/gQG0+4T1Na1V7+zj1CxmtZCVWRcBl6qezD3BwR7iotJvHvdPR5gFuEJinUdBIpw2PbIyPYipWjsStHYu0UUVRQUUUUAFFFFABRRRQAUUUUAFRzIXUFfvqcqfepKKmUVJWY07O42NxJGHHfse3tTqh/wBVcY/gk/Rv/rj+VTVNOTatLdb/ANee4NdgooorQQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVVuv8Aj6sR/wBNmP8A5Db/ABq1VSb5tTtV9Ekf8to/9mrOr8PzX5ounv8AJ/kW6KKK0ICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqOa4ht1DTSpGD03sBmoPt2//UW1xL77Ng/NsZ/DNQ6kU7N6lKEmrpFuiqm+/fpDbxj1aQsfyAH86PKvj1uoB/uwH+rGl7S+yf8AXrYfJ3a/r0LdFVfs91/z/N+Ea0eReDpeg/70QP8AIijnl/K/w/zDkX8y/H/ItVU1DS9O1aEQ6lYWt5EDuCXMKyKD64YGjbqC/wDLS2k9vLZP1yaPtF0n+ssi3vDIG/8AQttHtLbp/d/lcPZ9mv69SUWtv9k+xmCL7N5fl+TsGwpjG3b0xjjFRSjbqdq3YxyJ+Pyn/wBlNKNQtiQsjmFjwBMpjyfbOM/hUGrXUVjBFfTsFht3LyN/s7WH9RUznGUbp7NfmOMZRl7y6P8AIjtR9s167uzzHaqLWL/eOHkI+vyD6oa1aoaLbSWuj26TjFw4Msw/6aOSz/8AjzGr9ax2MY7BUMv7yVIu332+g6D8/wCVTVDb/MrSn/locj/d7f4/jWVX3mod9/Rf0kaR01JqKKK2JCiisfxJcSrpyWNrIyXeoyC1ideqBgS7j3VA7D3AHegCPQP9PuL7XG5W7cRWx/6d4yQpHszF3B9GX0rcqO3gitbaK3gjWOGJAkaL0VQMAD8KkoAKKKKACiiigAooooAw9A/0Ga90RuBZuJLYf9O8hJQfRSHQD0QetblYeu/6BeWGtLwtu/2e5/64SEAk/wC64Rs9lDetblABRRRQAUUUUAFFFFABRRRQAVlJ/oXiOSPpFfxeaPTzUwrfiUKf98GtWsrX/wBzYx344NjMtwT6IPlk/wDIbPUy2uTLa/Y1aKKKooKKKKACiiigAooooAKKKKACiiigBksfmRlQcHqD6HtRE/mRq2ME9R6HuKfUK/u7hk7ON4+vQ/0rGXuzUu+j/T/L5lLVWJqKKK2JCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqv3tWH/AEzg/wDQm/8AsKtVUt/nv7t/7uyL8hu/9nrOe8V5/wDBLhs35FuiiitCAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACio5547ePfK2BnAGMlj6AdzVfy7i85mLW8J/5Zo2Hb/eYdPoPz7VEp2dlqy4wurvRD5b2NJDFGrTTDqkfOPqeg/Gm+Tdz/wCumEKf3IeT+LH+gH1qxFFHBGI4kVEHQKMCn0uRy+J/1/X/AAw+dL4V/X9f8OQQ2dvA26OIBz1c8sfqx5NT0UVaioqyRDbbuwooopiCiiigAooooARlVlKsAQeoI615L8bPBeoa9oenf2NMkSwzt5toXKpKSMhgOmVCse3BPpXrdZWpKLjWNLtWGVBmnYewQx/+1aia0utx8zSt0MfwI17YeBtHhvXe8aK2VJJ0yzqw4KsvX5T8vGT8vIrqopo54xJE6up7qc1zmjM2maoLRz+41BDNH6LcJxMn/AsbwPUSGt2WzSSTzomMM3/PRO/1HQj6/pUxcrKS1T/r+vzLajdxejX9f1+RJcE+VsHVzsH49f0zUoAAAHAFZ4uWS7jjvAqMo+V1zsYngfQ9eD+taFTSkpylJen3f8G/3CnFxSTCoL27jsbOS5lDFUHCryzknAUDuSSAB6mpyQASTgDqa5ePUIPFeqSf2Pq9q9vpcgDtHtmDzMvHQ9FB4PIJJ7pW5AzwHrWo61YaudVMf2uz1a5tCsf3VVGG1RxyACOTyavWf/Ez8T3d8ebfT1NnB6GQ4aVh69ET2KuO9cT4S1+30q78cww3ttfXQ1IXFukTri4kljjVQACeC+FJ7GvRdH04aVpNvZb/ADHjXMkpGDJITudz7sxJP1oAvUUUUAFFFFABRRRQAUUUUARXVtDeWk1rcRiSCZGjkQ9GUjBH5Gs3w7czS6a1pdOXvLCQ2s7N1cqBtc/7yFH/AOBVr1h3X/Es8UW12OLfUU+yzeglXLRN7ZHmKT3OwUAblFFFABRRRQAUUUUAFFFFABUdxBHdW0tvKN0cqFHHqCMGpKKAM/Q55LjQ7KSY5mEQSU/7a/K3/jwNaFZeifu1v7b/AJ43sv8A4+RL/wC1K1KUdiY7IKKKKZQUUUUAFFFFABRRRQAUUUUAFQ3Hyosv/PM7j9Oh/SpqQgMpUjIIwaipHmi0hp2YtFRW5JgUE5ZcqfqOKlpwlzxUu4NWdgoooqhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVbD5opZe8kzn6gHaP0Aqa4mFvbSzEZEaFvyGabaQm3s4YSclECk+pxzWb1mvL+v8AMtaQf9f10JqKKK0ICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvcXPlMsUaeZO4+WMHHHqT2Hv/ADoubho2WGFQ9w/3VPQD+8fb+dOtrZbdSdxeV+Xkbqx/w9u1ZuTk+WP3/wBdTRJJc0hkFrsk8+ZvNuCMbsYCj0Udh+p71ZooqoxUVZESk5O7CiiiqEFFFFABRRRQAUUUUAFFFFABWXJ8/im3/wCmVlL/AOPPH/8AEVqVlr/yNUn/AF5Lj/vtqUiZdCvqNhLeWl3b2xVLy2mF1Zs3QP8AeGfZjvU/7JNaOm38Wp6dBexBlSZc7H4ZG6FT7g5BHqDRJ+61OF+0yGI+5HzL+m+s23I0jxDPaN8tpqAa5g9FmH+tT/gQw4Hc+Yaim7Jp9P8Ah/yNamrT7mtGizLNvUMjsVKsMggcY/Q1B+80/nLy2np1aL+pX9R79rNsCtvGD97aCfqalrOnC8E9nv8AfqPns2ugisroHRgysMgg5BFLVF0awcyxKTbE5kjA+5/tKP5j8R7z3N5b2lhNezSqttDEZXkzkBAMk/lWsZX0e4pRtqtjJuf+Jn4qtrXrb6Yn2qX0MzgrGv4LvYj1KGt2sjw5azQ6Ybq7Qpe30hu7hT1RmxtQ/wC4gRP+A1eutQs7Hb9quoYS33Q7gFvoO9W3bcmMXJ2irlmisz+2PN/49NPv7j38nyh+chXP4ZpfO1mX7llZwqe8twzMPqoXH/j1TzI19hNb2Xq0vw3NKis3yNZf72oWaD0S0bI/Eyf0o+wag33tZnH+5DGP5qaOZ9g9lH+dfj/kaVFZv9nXo6a3efjFD/8AEUfY9UX7mrK3/XW2U/8AoJWjmfYPZx/nX4/5GlRWbt1uPnzdPuPby3h/Xc/8qPt2oxf6/SGf3tZ1cD/vvYf0o5u4exb+Fp/O352NKqOsaf8A2ppNxaK/lysA0MuM+XIpDI/4MFP4VGNesFO24ke0bpi6jaIZ9AzAA/gTWirK6hlYMpGQQcg0009iJ05w+JWKWj6h/amk294Y/LkdcSxE8xyKSrofdWDD8KvVh2n/ABLPE91Zni31BTdweglXCyr7ZGxh6kua3KZAUUUUAFFFFABRRRQAUUUUAZenDZrGsp/emjl/OJF/9krUrLsv+Rh1T02QfyatSlHYmOwUUUUygooooAKKKKACiiigAooooAKKKKAIo/lnlT1w/wCfH9KlqJuLqM/3lK/yI/rUtZUtLx7N/jr+pUu4UUUVqSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBUv/AJoooe80qr+A+Y/opq3VQ/vdUUdoItx/3mOB+it+dW6zhrJy+X3f8G5ctEl/X9WsFFFFaEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUNzcC3i3bS7sdqIOrN2H+egqYkAEk4A71TtQbmX7a4+UjEAPZf731P8se9ROT+FbsuCXxPZElrbmFWeRg88nMj+vsPYdqsUUVUYqKsiZNyd2FFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABXm2FsvjPp95Cqxw6nFd2eEG1ZDEschYju28SAnrxXod3PJb2ryxWst1Io4hhKBm+hdlX8yK8+1HRtXvJ/BF4tubDUre9ma4WZ0bY0sbtKRtJDc7iBnnjOKTEyX4kTvqMelaRDvaO51OON1jYhpBGDLLgjsEQqfdv9mun1rSo5vDxh01IoJbfE1lsAVVkHQcdA2Sp9mNY76dqE3xC0q4Oj3KaRplnPHDO0sR3TyMoLkb9xGxTyRnLHiujg+S1Nr3gmWMf7u4Ff/HSPyNYV5csX5p/f/X5GsFden9f16kum30Wp6bb3sAZUlTdsbgoehVvQg5BHYirLukaF3dVRRksTgAVzL3raF4jm02CITf2nm6tYt4UJKP9aGP8Knh+hJPmcGs681mG4vhaWsTeINVUg7EGLa3PY4J28c8k5OCA2eK1craIunQclzSdl/X9flc6SXxDYrE0kJluY1GTLDGTGB6+YcJ/49XhnjT4q6oPFFvo+j2Ctock0T+VKoP2rDgsquGK7NykcEj72eOB67B4Sm1SVbvxTdi/cHclihItoz9ON/fkgAjqDjNaWlW8N8lzfPEhiuf3UC44EC5VcexyzfRhU2le73NWqPI+W9lbX9Onm72Kfn3MozrB1OBT/wAs7aHbGPq0TO347gPatXS4dJEbTaYtqwY4eWHBLH/abqT9eazbWaXw/K9pcMz6cnKSHkwKehPqnY/3f90jbqXWl2t3J9oXdBc4+W5gO18dsnow9myPappu6v1/E0rtbXtF7W2+789W/UvUVmQ309rcJaakFy52w3SDCSn+6R/C3t0Pb0GnWydzinBweoUUVDdXlrZRCW7uYbeMnaHlcIM+mTTIJqKzh4g0UnA1ewJ/6+U/xrRoAKKKKAEIBBBAIPUGs5tDsgxe2R7KQnO+1by8n1Kj5W/4EDWlRSaT3LhUnD4XY5jXbPWYrSK6geK+ksJRcxZXy5jtyHXj5WLIXXouN2ecVq6drthqiQmGUo80YkjjlG1nUjOVzwwweq5HvWlXO6VaW6S3/h+7hSWG2kE9srjP7mQkrj02sHUY6BV9aVmti/aQl8a+a/y2/L1OiorL+zX+nDNpK15AP+Xe4f8AeAf7Mh6/Rs/7wqzZ6jb3xdIyyTR/6yGRdsifUenuOD2JoUujFKk0uaOq/rft+XmW6KKKoyCiiigAooooAy9P+fWtYf8AuyRR/lGrf+z1qVl6N876ncdpr18f8AVYv5xmtSlHYmOwUUUUygooooAKKKKACiiigAooooAKKKKAIp+Gib0kH6gj+tS1Fc/6nPoyn/x4VLWUdKkl6P8AT9CnsgooorUkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiq1/IyWjLGcSyERoR2LcZ/Dr+FTKXKmxxjzNIbYfvEluf+e8hZf8AdHyr+YGfxq3TY41ijWNBhUAUD0Ap1EI8sUmOb5pXCiiiqJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKQkAEk4A6mgCpef6RIlkPuuN03+56fiePpmrlVLAF0e6YfNcHcM9k/hH5c/UmrdZ09ff7/l0NJ6e72/MKKKK0MwooooAKKKKACiiigAooooAKKKKACiiigArL1391bW130NtdRPn0UtsY/grsa1KpaultJo97HeTpBbPC6SSuwUIpGMknpik1dCkrou15t8RPibpvgHWrS3mtZ7q5uYBK8cZACqGIQkn1O4fhWpF4q1XWdPs00ezCXFxGN09wMDcOHKJ12hsje2B0wH6VkXfw20fXtSlk1rzdUvLYLG11cSsN0rDeRtBACKCmFHHzGsK0ouOqudNGlJx572VuvX+v62Yf8I7rXjHQxf3M8drDOou7eFSDLcuV+QyOD+7QqSuxScK3XOc9x4eTThods+lWy21tKu/ywuGVv4g3+2DkHPOQc1nWhvNDtIpLeOa80gLg2/L3Fpjghe8ijpt+8McbuAH6Td28GsPHazJLp2qBru0kQ5USj/WoPrw+OuTJ6VtBK10RWqTnL3zQ1mVzaJZwsVnvX8hSDygIJdvqFDEe+PWr6RrDAscKKqou1F6AADgVnWv+m61c3eMxWwNrCfVuDI35hV+qmrGrahFpOj3upTf6q0ged/oqlj/Khau46nuxVP5v1f8AwLfO5zFn4i1TXY725stEgY6Zey2jf6bzMUwJAmYwCp6ckcj2qfw9r1pcaHbaxp3mtoNxu+SRcPZMGKsCOfkBBHGdvbK/d5OB9V8JfCLS7uS9CG4aKS6jii2zu1zIC4WQkgMPMJzt/hxx1HoWh6bZ6DaroljCIbO3Xdbxgk4QnkZPJO7JJP8AeFRJJSv3HTqPlaeq7f11X+fS5oTwQXtq0MqrLDKvI7EfX+tU9Onlink027kMk0K74pW6zRdAT/tA8H8DxuxULI2hMXiUvpZOXjUZNt7qO6eo/h7ccB+rsqWsGqwsG+yMJSynIaE8Pz3G35vqopt9eqNIwv7i1jLb1/Ts/v10NWuJ+K1ww8DTafHu8/VbiHT4tq7jmRwGwByTsD121cl4i0XW9V8T6HeQQ6e2naXPJcGOW6dXmkMZVDgRkDaWY9Tn2rQ5CZI9O8SWOp6AunPDZQW6W4a4timGZTjarAH5RsOfU+1dPTVRVLFVALHLEDqcYyfwA/KnUAFFFFABRRRQAVh6/wD6Bc2Otrwto5iuf+veQgMf+AsEcn0VvWtyo7i3iu7aW2nQSQyoY5EboykYIP4UASVUvdOt74I0gZJo+Yp4ztkjPsf5joe4NUvDlxK2nPY3Tl7vT5DazO3V9oBRz7shRj7kjtWxSavuVGTi7xeplJfz6e6w6oVMZIWO9UYRj2Dj+A+/3T7EgVq0josiMjqGRhhlYZBHpWQVm0P5og8+mDrGMs9uPVe7J7dR2yOAtY+hraNXbSX4P07Py27W2NiimxSxzRJLE6vG4DKynIYHoQadVGDVgpsjrFG0jsFRQWYnsBTqy/EJMmkvZqfnvXW1GOuHOGI+ibj+FJuyuJuyuO8PoyaDaNIpWSZPPkU9nkJdh+bGtKkACgADAHAApaErKwJWVgooopjCiiigAooooAKKKKACiiigAooooAiuf+PZ/pmpaiuf+PaT/dqWsl/Ffov1K+yFFFFakhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVUP7/AFNR/BbruP8AvtwPyXP/AH0KsSypDC8shwiKWY+wqGyieO33SjEspMkg9Ce34DA/Cs56yUfn/Xz/ACNI6RcvkWaKKK0MwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqpqGXhS2HW4cRn/AHerf+Og1bqoP3uqk9oIsD6sefyCj86zq6rl76f5/gXT0fN2/r8y30ooorQgKKKKACiiigAooooAKKKKACiiigAooooAKKzdQ1u1sJltVWS6vnXclpbjdIw9T0Cr/tMQPeqn9lX+r/NrUwitj00+1chSP+msnBf/AHRtXsQ3WgB82vG4me10W3/tC4Q7Xl3bbeE9w8mDkj+6oY+oHWqVxp7JdQPeyDVtYc7reJ12W9vjq4jycAf3iWbJwDzitm5nh0myihtrdNxxFbW0QChjjgADoABknsATTtPsTaK8sz+bdzENNLjGT2A9FHQD+pJMt30RtCKiuefyXf8A4H/Dd7ZuhWa6Vqeo2Tt5k0xW784qAZN2Qw49HDHHbzBU+mfNYST/AMUt9IxPqPNKr/46Fpdbzai31ZAc2TEy47wNgSflhX/4BTdKIGhsAQfKnmGf92Zuf0rCqrQkuyY4Tcoyb3uvu1/r5F2P/R794j/q5/3iezD7w/kf++q83+MVnq2l6BFrHhaOeK+N6huDbDJOVZRIEwfnyQpYckNg5HT0u8haWDMePOjO+Mn+8O30PI+hrPWZdW1e32Z8izTznB/56sCqqfdV3Ej1Za0T5Xy/d/XkEYe0XM9ktf0+/b1Ob+E2tXmqeCrWHWGC6tEXMsbpskZS5w7KQOpyCR3BzzkDq9Z0Ow8Qae9jqccstrICskaTyRBx3B2MMj2NY02lWy6/JYy74Uui15YXMR2yW8/HnKp7buH2nIbMmQQKvw6rc6bOlprexd5CQ36DbFMTwFYf8s3PoeD2OTtGpg227slvvDWmajoaaPdRSyWiMrJvmdnRlbcpDklsgj19unFSyWsdgkM8ZYlJcyuxyzh+GJP12n2CgDgVJc6tZWsxgaUyXA58iFTJJ+Krkge54qjfXl5LZy+bBb6faspRpr6YZAPH3VOPzYVlUacWludFKjPmTasn/Wnf5G3XM65c2vhPSry/umxoW0/aYhyYNxxlB3BJ5X3yPSo7d9U1SBGjmvJAw+diVtoVPQgEAyNj2IB9RWb4o8G6ZP4W1OXWDLqEgt2MaGRlHmY+QKSS2S2B8zHmkp+0SaRuqcaF1OevZK/+Vv632LHgr4heHvEXhy3nj1OKKaBFhnS6YROHCjJwTyD6iui/t/Sj929jf/rmC38hXIeBPClt4F8O29zpiS3EF7FHNehwGlBK5DLgDIAPK/iOeD30M0dxCk0MiyRuAyupyGB7g1UW3sZ1IRi7zV9Xs9L9tih/b2m97hh7mJx/Sj/hINHH3tTtEPpJKF/nWlRVWl3Muaj/ACv71/kQwXlrdDNvcwzD1jcN/Kpqp3Gk6ddHNxp9rMfWSFWP6ioP7DtY+baW6tT28m4baP8AgBJX9KPeC1J9Wvl/wf0NOisz7Pq1vzDew3a/3LqPYx/4GmAP++DR/a0lvxqFjPb/APTWMedH+a8ge7KKObuHsW/gafp/k7P8DToqK3uYLuETW00c0TdHjYMD+IqWqMmmnZmHef8AEs8T2l6OLfUFFnP6CRctE3tnLr7lkHatyqWr6eNV0m4s95jeRcxygZMcgO5HHurAH8Kbo2oHVNJt7t0EczApNFnPlyqSrp+DBh+FAi/RRRQBkSxSaNK91bIz2LsWuLdRkxk9ZEH6svfqOchtWORJoklidXjcBlZTkEHoQadWQw/sO53qP+JZO/zjtbuT1/3CevoTnoTiPh9DoX75W+1+f/B/P1Nesp/9M8SRp1isIjI3p5smVX8Qgf8A77FaFzcxWdrLczttiiQu7egAyaqaNbyw2RmuV23V05uJgf4WbGF/4CoVf+A03q7HK9XY0KKKKooKKKKACiiigAooooAKKKKACiiigAooooAiuf8AUEepA/MipaiuOVRfWRf0Of6VLWUf4svRfqU/hQUUUVqSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFNkkWKNpHYKigsxPYChuwblW6/0i5itR90Yll+gPyj8T+imrlVbJG8tp5VKyzHeQeqjsv4D9c1arOnr7z6lz091dAooorQgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKqWPzG5m/56Tt/478n/ALLVuqmmc6bbt3dBIfq3P9azlrNL1/r8S18DfoW6KKK0ICiiigAooooAKKKKACiiigAopskiQxNJK6pGgLMzHAUDuTWH/bF5q/yaDCvkHrqNyp8r6xrwZfrlV9GPSgDUv9Ss9Lt/PvZ1iQnaueWdj0VVHLMewAJNZe7WNa+4JNIsD/EwBupB7DlYh9ctz0U1bsNDtrO4+2SvJeagRhru5IZwO4UDARfZQB65PNadAFTT9Ls9LhaKzgEYdt0jElnkb+87HJY+5JNWJpo7eCSaZ1SKNSzsxwFA6mn1lXH/ABM9TFoObS0ZXuPR5OqJ9Bwx/wCA+9JuxpTgpPXZbjtOhkuJm1O6QpLIu2CJusMXXB/2m4J/Ads1p0VHPcQ2sDz3E0cMKDLSSMFVR7k9KErCqTc3c49r7VNR+IuoaJBqjx6ZaafHPPiGIsksjEKmWU/LsUnnJ561X8KQ6hp+v32ivqH2vSntBc2ZeNQxRtoU7hjPcHjrg96wNAfwt4kh8W6rq+p2EZ1W+mhike7VGW3jURRsPmHoSPrXW/azrlkmu6AEmjsJCtkUJAu4x8sqg9NpIwvH3owehqKkbodLe3f+kdM93HBYNdzNtiSLzHPoAMms3R4prED7Uu2S/Zrhxj7kp5KfguAP9w1jyeK9C1OK2tYdTtniVvPuY1cM6IpBVCg5DFig24yQGFTTX134iiKWsMwtm+4IiFBPZnlPAGe0e4+p6iudTcoxl9pL/hzup4eXs3fSLerfS23zv+mxb8Qzi8g+z6YjXOq2sqzwCLG2KRezseFDAlSM52scA1TW+ttc06JtRuzLHdRbjpdohLYPVZMfOcHIOdq9QRWhYadLPbeTPOLaGJihs7JfJVfqwO4565BXIPSo9Mt4dB16fTYo1is78G6tgowBIMCVPx+Vx3JL+lbxbmr/ANf1/VjGTpUXaOr/AK6vb5L5mXb2et6FAV0y18jRd2424Amu4AepQD5WHfaS7dcZ4Wug0u10y5ji1G3l+3O2dt1K/mMOxAz9znggAc9q1e5rIvNHkjun1DSJUtr1+ZY2H7m5/wCugHRscBxyOM7gNtXyowdebvbS/b/Pd/Nlyy+R7qLskxI+jAN/NjWB44kea10/SoSfNvrtRx1UJ8wb6BxHn2Jq/pWrJeavdW0sL2l6kMbSWsuNw5YFlPR16fMPocHIFOxeHXfGdxfr89vpMX2WBsDBmfmQg+yiMfifas4/Dy+v5mkUuf2j2Vn8+3zf6nSRRJDCkUY2oihVHoBwKzJoJdJme6s42ktXYtcWqDJUnq8Y9e5Xv1HP3taitWrmUKji3fVPcjgniuYEngkWSJxuV1OQRUlZU9vNpk73ljG0kDndcWq9Se7oP73qP4vr10Le4hu7dJ4JFkicZVl70k+jHOmkuaOq/rR/1qS0UUVRkFFFFAFC40i1nma4QNb3J6z27bHP17N9GBFRedqVh/x8Ri+tx/y1gXbKo/2k6N9V59FrUoqeXsaqs7WlqvP9Hv8AoQWt5b30Pm20qyJnBx1U+hHUH2PNZVt/xLPFNzani31JPtUXoJkAWRfxXYwHchzV670uG4m+0xO9teAYFxDwxHow6MPY59sdaw9euLuOyjNzAFv7OVbizmi/1c7rkGMZ+4zqWTB/v8E0c1tx+zU9af3df+D/AFodVRUNrdQ3tnBd27iSCeNZI3HRlIyD+RqaqMQpskaSxtHIqujgqysMgg9QadVTUb5dPtDLsMkrMEhiBwZHPRR/U9gCegpML21MEF31qDw5LJvtoMXQkZsmRFOUiPqwbk+qqM5ya6msddFYaXsMw/tAyfaTc4/5b+uP7uPlx/d4q9p94L6zWUp5cgJSWMnmNxwy/ge/cYPephpozWS54+169f68/wA7+RaoooqzIKKKKACiiigAooooAKKKKACiiigAooooAik5nhX0y35DH9alqJfmunPZVA/E8n+lS1lS1cpd3+Wn6FS6IKKKK1JCiiigAooooAKKKKACiiigAooooAKKKKACqdx/pV0lqP8AVpiSb3/ur+JGfoPep7mcW0DSEFj0VR1ZjwAPqabaQGCH5yGlc75GHdj/AEHQewFZz958n3/15mkfdXN939eRPRRRWhmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADJm2QSN6KT+lR2S7LC3X0iUfoKfcDdbSj1Qj9KbZndZQEd41P6Vn/wAvPkX9j5k1FFFaEBRRRQAUUUUAFFFZ+o6zZ6YyRSs8t1KMxWsC75ZPoo7erHAHcigDQrHuteT7TJZaXbtqN8h2yJG22KE/9NZOQv8AujLf7JqH7Bqms/NqkrWNmeljayfO4/6aSjn/AICmP95hWxa2tvY20dtaQRwQRjCRxqFVR7AUAZUegveyLca7cLfSKQyWyrttoj2wnO8j+8+eeQF6Vt0UUAFFFFAFXUbw2Vk8yJvlOEijz992OFH5kfQZNGnWYsbJIS/mSctLIRy7k5ZvxJP0qr/x/a76w6ePwMzj/wBlQ/8AkT2rUqVq7m0/cgod9X+n4a/PyCis6TWbbzGhtFkvZlOClsAwU+jMSFU+xOab9n1S8/4+LhLKI/8ALK2+Zz9ZGHH4Ln3o5l01D2MlrPT1/wAt/wBC1d6haWIX7TOqM/CJ1dz6Ko5Y/QVkXutai8iW+nWISeUZj+0n5sf3ig+6vuxB9ATxU7pBps32XS7ZH1Gdcs8hLFV/vyOfmI9BnJPA7kR3lmtrZCyikd7zUpBFLcMfnYYJds9sIGwBwDgVEnJnTRhSi02r37/nZdF6u54z4d+HF/4P8QJ4wneLWdP3SOYcYkaNiR5p3cHGQ3J7gkjkj3fTNUs9XtBc2UodASjKRho2HVWU8qR6GpJYo4o4gqKI0wm3HG08Y+nT8q5DVdAOmXa3NjdPYE4WC8T7sfYRTDo0f91j93gdMAxGUlJp6/1/w5zznTlvotbeXr/mvx6dXdA20wvV+5jbOB3Xs34fyJ9qg1yylvtOD2e37bbOLi0YnA8xegJ7BgSh9mNZum6rq8sr2U6WjX8S5ktp2aF9vTerAMJFP94KvoQDkVYgvNSspFtH0sFHJ8gi5GB3K5IHTtx0+lVzckvJ/n/wfz9S/YucdGnbzW3zs9Py9DT0++h1LT7e+gz5cyBwGHzLnqpHYg8EdiKsO6xozuwVFGSzHAArlbR9XsNdn08Q2drBqBe7ty8jShH481MALySd+M/xOe3GymkJM6yajO986nKpJgRIfZBwfq2SPWtLt7IyVOMfjl92r/y/ExtSs4vFeoRRxmWC1SMsl9H8kpII/wBS3UA5wW6EZAyDmq3hLUTpmmo+pxrHb6hMZre/UARSKcLEHA4jbYqAD7p4AOTtrV8T3EtvaXH2dttxLbG2gYdpJXSND/30wrZjsraOwSxEKG1WIQiJhlSgGMEdxioprV+pVad1FJWVieisH7Ne+H/msVkvdLHW0zultx/0yJ+8o/uHkfwngLWtZX1tqNqlzaTLLC2cMvYjggjqCDwQeQetamBYrLuLabT7h76wQujndcWq/wDLT/bT0f8ARvrzWpRSauXCbg/IitrmG8t0nt5A8Tjgj9QR2I6EdqlrLubWazuHv9PTeXObi2BwJv8AaXsH/Q9D2IvWt1De26z277o29sEEcEEHkEHgg9KSfRlTgkueG35eT/rX70pqKKKoyCiiigApksUc8TxTRrJG42sjjIYehFPooBO2qOP0h7nw3qN9pBV59MgYXFuoy0kMEhJ47uquHGOqjb1zgdbFLHPEksTrJG4DK6nIYHoQaxvEP+gS2WuLwLJylyf+neTAc/RSEc+yH1qW4ifRmkvbVc2Ry9zbj+HuZE9+5Xv1HP3p+H0N1aqrPSX5/wDB/Pr3NSaaO3heaaRY4o1LO7HAUDqSazLCGW/uxqt0jIoBW0hcYMaHq7Ds7foMDglqht2/4SJ47s/8glCHgQj/AI+WHSRh/dB+6O55Patyha69Dm3YVlTf8S7WEuBxb3pEU3osoGEb8R8p9wlatQXtol9ZTW0hKrIuNy9VPZh7g4I+lEldaG1KSjK0tno/68tyeiqel3b3lgjzAC4QmKdR0EinDY9sjI9iKuU07q5M4uEnF9AooopkhRRRQAUUUUAFFFFABRRRQAUUVHOxWFtv3j8q/U8CpnJQi5PoNK7sNt/mRpP77Fvw6D9AKmpFUIiqvQDApaVOLjBJ7g3dhRRRViCiiigAooooAKKKKACiiigAooooAKKKqXTtPILOJiCwzK4P3E/xPQfiamUuVXKjHmdhIv8ATLr7R1giJWL/AGm6Fv6D8fUVcpERY0VEUKqjAA6AUtKEeVa7hKV3psFFFFWSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB1FVdNOdLtc9REoP1AwatVUsPlili7xzOPoCdw/Qis38a+f6Fr4H8v1LdFFFaEBRRSEhVLMQABkk9qAFqve31rp1q1ze3EcEK4BeRsDJ6AepPYd6yjrs+psYvD8CXK5w1/NkWyf7pHMp9l+XsWBqey0GGC6W+vZpL/UF+7cTgfu89RGg+VB9OT3JoAr/adX1rizR9KsT/y8zxj7RIP9iM8J9XBP+x3rQ07SLLSlf7NEfNlOZZ5GLyyn1Zzyfx6dBgVeooAKKKKACiiqVzqtpbTGDe0tzjPkQqXk/EDoPc4HvSbS3KjCU3aKuXarX9/baZZS3d3KsUMaliWIGcdh7+1Vc6te9AmnQn1xLN/8Qp/77qlfaTaC5sYNrT3E84LzzsXcRp87YJ6AkKpAwPm6VMpO2iOilRhzpVJfdrp11227XE0m4vjp6LbWLGaUmWae5zGm9jlsDG5sZwOACAOavf2QbnnU7p7vPWEDy4f++AfmHsxatOihQ0syZ4huTlBWv9/3/wCVhscaQxrHEioijCqowAPYVU1C9a1VIoEEt5OSsMROAT3ZvRR1J/DqQKnu7qKytZLmZiI4xk4GSfQAdyTwB3NVdOtZQ7394oF5OACuc+SnaMfTqT3Oe2MNvoiYJW9pPb83/W//AASWwsVsomy5luJTvmmYYMjevsOwHYVWtP8ATdYub08xW4NrD7nIMh/76Cr/AMANWNUu2stPkliUNOcRwqejSMdqj6ZIz7ZqSxtFsbGG1RiwjUAserHux9yck/WlbWyK5nyOo93p/n+i9GyZ0EiMjdGGDUaBZ7YxzKrggpIrDIPY8ehqaof9Xc/7Mo/8eH/1v5VE/dkpfJ/p+OnzMVqrHPalpa2kSJP572ETb7e5iP8ApGnt6qeSydu+BwQy5xLDqT4i0/WHjzOR9k1GDiK4PVcHnZJ329D/AAk8gdFWJe6JsinWyihltp8+fp8/+plz1K9djd+mD3GTmra0t0M03B3QanBc6hpzJGFXVrF1uLfnAZ1zjnsrjch9AzDtWlp99DqVhBewbvKnQOoYYK57EdiOhHYiuTj1KXTWKl55IbYZxcAm5s1PaUcmSE9PMGSMAktgsNDRb2GHV5beJl+yagGu7bBBCSceagI45JWQeu9yOBShKz5X/X/BNJWkueIupj7X4y0uxx8sSG8f0KpuUD/vuSNv+A10lYump9o8R6vfbwyJ5dog/ulV3P8AmXA/4DW1RT2v5v8AMdTf5L8grIvdHcXT6hpUq2t+2PMBGYrnHaRR3xwHHzDjqPlOvRWhBm6drCXkzWlxE1pqMa7pLWQ5OP7yHo6f7Q+hAPFaVU9R0u11SFUuFYPG2+KaNtskTf3lYcg/zHByCRWcmp3WjyLb62ytAxCxakq7Ub0Eo6Rt7/dJ/ukhaAN2sy6tJra5a/09d0jf6+3zgTgdx2DgdD36HsRp0Umrlwm4O6/4cgtLuG+t1ngbKnIIIwVI6gjqCD1Bqes27s5obhr/AE8DzyB50BOFuAP5OOzfgeMYtWd5DfW4mhJxkqysMMjDqrDsR6Uk+jKnBW54bfl6/o+v4FiiiiqMgoorPvNWjgn+yW8bXV6RnyIj90HoXPRB7nr2BPFJuwm0tye/e0SwnN+0YtShWXzPulTxj3znGPeuZ8OR3OsWZstUZvI02QW/kSAh7gABo5Jc+qFDt/vZz0wNy30ySW4S91ORZ7lDmKNQfKg/3Qerf7R59MA4qtff8SzxLZ6gOIL5RY3HoHBLQsfxLp7mRfSla+4rN7ksynRbh7uMf8S+Ri1zGP8Alix6yD2/vD/gXrnWBBAIIIPQilIBBBGQaybT/iU3i6cx/wBEmybNj/AQMmL8Bkr7Aj+EZPhfkdP8WN/tL8V/mvy9NdaiiiqMDMT/AEPxBInSK+j8we0qYU/mu3/vg1p1ma5+6sUvR96ylW4z6IOH/wDHC9adStG0bVPejGfy+7/gWCiiiqMQooooAKKKKACiiigAooooAKhb57lV7RjcfqeB/WpWYKpZjgAZJqOBSELsMM53EenoPyxWVT3pKHz+7/g/qUtFclooorUkKKKKACiiigAooooAKKKKACiiigAooqOeZLeIySE4HYcknsB6k0m0ldjSbdkMurgwIAi75nO2NPU+/sOppba3FvGQW3yMd0jn+JvX/PamW0L7zc3A/fuMBc5Ea/3R/U9z9BVmoinJ8z+RcmkuVBRRRWhmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVUi/danOnQSoso9yPlb9An51bqpefupLe57Rvsf8A3W4/ntP4VnU0Sl2NKerce5boqjqWr2WlKn2qU+bKcRQRqXllPoiDlvw6d8Vn/Z9X1rm8d9KsT/y7QSD7RIP9uReE+iEn/b7VoZli916GC6axsoZL/UBjNvBj93noZHPyoPryewNQDQ59TYS+IJ0uF6rYQ5Fsv+9nmU+7fL3Cg1q2VhaabarbWVvHBCvISNcDJ6k+pPc9TVigBAAqhVAAAwAO1LRRQAUVVu9RtLHaLiZVd/uRgFnf/dUZJ/AVW+06nef8e1stnEf+Wt18zn6Rqf5sD7VLktjWNKTXM9F3f9a/I0XkSKNpJHVEUZLMcACs7+2PtPGmWz3mekudkP8A32eo/wB0NTk0a3Z1lvHkvplOQ1wQVU+qoAFB9wM+9aNHvPyH+6h/ef3L/N/gZn9n3d3zqF6wQ/8ALC0zGv4t94/gVB9Ku21pb2cIitoI4Y852xqAM+v1qaimopEyqykrPbt0CsyL9/4jnfqtrbrEp9Gc7mH5LH+dadZuj/vFvrk9Z7yT/wAcPlD9I6T3SKp6QlL5ff8A8C5pUUVR1S6kt7UR2+PtVwwhgyMgMc/MfZQCx9lpt2VzOEXOSiiAf8TTVSx5s7F8AdpJ+59wnT/eJ7rWrUFnax2VpFbQ52RrgFjkn1JPck8k+pp11cx2drNczHEUSF2PsBk0krK7LqS55KMNlov68yg/+na8idYbBfMb0MrghR+C5P8AwNa1Ko6RbSQWIe4GLqdjNOOuHbnb/wABGFHsoq9RHa4VmublWy0/z/EKZMhkjIBww5U+hHSnEhVLMQAOST2rJfxRo4do4Lz7ZKpw0dlG1yyn3EYbb+OKJRUk4vqZp2dzUjcSRhgMZ6j0PcU+sIalqkjM1norxCRgAb+dYlJweRs3t2HBAqT7Brl1/wAfWspbL/dsLZQw9i0m/P1CrU05Nq0t1v8A15g12L99p9rfov2hPmjO6OVWKvGfVWHI/CvHvG+qR+CrV9U0bVbTUPs9wkn2ZGG6GTdjcwT5VDBmVvu53HAySx9E1LS9D0+ONtQgn1W4lbbBb3MrXLTP6JG52j1JAAA5JA5psmgC7gj/ALYht5JJj5UFkig29qhB3bQR8z7d2XI9gACclRK3M+gQjeWhi/CTxxD4x8OzvKkFvqcdzI08KOMvuO7eF67fm2/8B616HXMat4Q0aSyTydFgZbcfu4LVFhZfeJgV2N7ggHGD7cnpOu+If7MTVtAOq6xobbtv22GJ51CkhtoDh5DkYH3en8VEXb3bbBO/xb3PU6K5TQvGi67bLNZ28V6Cu4raTgSqOmWjl2EDOehI44JrXOv2cfFwl3bnv51rIFH/AALG39avmRHMjUproksbRyIrowKsrDIIPUEVQj1/RpTiPVrFj6C4TP5Zq0t7aP8AduoW+kgNF0NSTMj7Je+H/m01Hu9MH3rHOZIB/wBMSeq/7B/4CRgKdWxv7XUrVbm0mEsRJGRkFSOqkHkEHgg8jvSvf2cYy93Ao95AK5/UbnSFvGv9O1ywtNSIAcCZWS4A6LIgOW9mHzD1xkEugckup1FZ15ZSpcG/0/aLrAEkbHCXCjs3ow7N26HIrMsPGFveMLVrG9TUdpb7KsLYcA4LI7BVZM45yDyMgHitD7TrNx/qdPhtVP8AFdzbmH/AEyD/AN9ik2mVCryO6LdlexX8HmxbgVO143GGjYdVYdj/APrHBqG61iztZjbh2nusZ+zwLvk/ED7o92wPesq88OXdxIb19Rklu8APDGTbwzKP4W2nf34JZsehGQdTR2sTZ7LG2S1VGKyW4QIY37hgO/v36gkHNJOWzKnBtc8NvxX9dGQmHVNS/wCPiT+zrY/8soWDTMP9p+i/Rcn0ar9pZW1hB5NrCsSZyQOrE9ST1JPqeanoqkjNRtqFUtW09dV0q5smcxmVPkkXrG45Vx7qwBHuKu0UxmfomoNqmkQXMqCO45juIx0jlQlXX8GBFWL6zS/tHt3Zlzgq6/eRgcqw9wQDWVB/xLPFc9ueLfVE+0R+gnQBXH/Ak2MB/sOa3aGr6DjJxakt0UtNu3urdknAW6gbyp1HQMBnI9iCGHsau1l3/wDoGoQ6kvET4t7r/dJ+R/8AgLHH0YntWpUxfRmlWK0nHZ/n1X9dLDZY0mieKRQyOpVge4PWqOhyPJo1usjFpYQYJGPdoyUY/mprQrN0z93fapb9AtwJEH+y6KT/AOPb6Huhw1pyXaz/AE/VGlRRRVGIUUUUAFFFFABRRRQAUUU13EaF26AZpNpK7Ajl/eSLCOn3n+np+J/kamqOFCFLv99zk+3oKkrOkm7ze7/Lp/XcqXYKKKK1JCiiigAooooAKKKKACiiigAoopskiQxtJIwVFGST2obtqwSuJLKkMTSSMFRRkk9qrQRvcSi6nUrj/UxH+Af3j/tH9Bx60RxvdyrPOpWNTmKI/wDoTe/oO316XKyS53d7f1r/AJGj9xWW4UUUVqZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFYcmvveyvbaDbrfyKSr3LNttoj3y/O4j+6meeCV60Aa11d29jbSXN3PHBBGMvJKwVVHuTWJLd6j4gieDToDZWEilWvbqMh3U9fKiOD/wJ8eoVhVm10BDcx32q3DajfId0bSLtihP/TOPkL/vHLf7VbFDV9GCdtUY+haXa2MTy7Wl1Any7m6mbfLIR6sei9wowADwBWxVOT/Rr5Zv+WU+I39m/hP49P8Avmprm7t7KHzbqeOGPON0jADPp9azg9LPoaSjdrlW5NRWZ/aF5d8afZMEP/Le7BjX8E+8fxCj3o/scXPOp3Ml56xEbIf++B1H+8Wqua+xXslH+I7fi/69Whz6zbs7RWSSX0qnBW3AKqf9pyQo+hOfam/ZtTvP+Pq5W0iP/LK15Y/WRh/6CoI9a0URIkVI1VEUYCqMACnUcre4e0jH4F83q/8AL8L+ZVtNOtLHcbeBVd/vyHLO/wDvMeW/E1aooppJbGcpOTvJ3YUUUUyQooooACQBk9BWb4fB/wCEfsHIw0kCyt/vMNx/UmptWnW20e9nZgojgdsk46Kay7PxHpMdjb29pNJftHGqYsYWuACBjBZAVX8SKn7RstKL83+Sf+Z0FZlt/putT3R5itAbeH0LnBkb/wBBX2Kt61Qv9b1mKxmubbQxCqLx9uuVVmJ4AVY9+cnAwSvXtRYaFq0VjFb3evMgUZYWNuse9icsWZ95JJJORt69qHq7BD3YOXfT/P8Ay+Z0LusaF3YKoGSScACuX1PxLpV7eWtha3JvlEnnXC2MbXGAhyqnywduX29cDCnPWtFfC+j7hJcWv22RTkPfSNcFT6jzCdv4YqTRVE0c2o7QBdMPKAHSFeIwPYjLf8DNEtdApe6nU7fm/wCm/kRf2lrNz/x6aH5K/wB+/uVj/ELHvJ+h20f2drVz/wAfetiBf7lhbKn4FpN+fqAtbNFUYmOPC2kMwa6t2v3ByDfStcYPqA5IX8AK1kRIkVI1VEUYCqMACnUUANdBIhRuhrJvNZeCUafaw/atVYZEOdqovaSRv4V/MkggA4NNu9TuLy6k07RthmjO24u2G6O29v8Abk/2e3VscBrNnpMOlwH7KGectvllkbMk7HqXbueBjsMADAGKymnF+0X9L/gdP+CUtdBNN0kWcr3l1MbrUZVxLcsuMDrsRf4EHp+JJPNTx/6RqEkn8EA8tfdjgsfywPzp890I7XzIxud/ljU92PQH+vpg0+2gFvbpEDuIHLHqxPJP4nJouptJbb/5f5lL3Ytv0/zMXxrq50LwXrOoocSxWr+Vg8+YRtT/AMeK1BpGlx+EPB9kqukS6fYoLrccI+xPnYnseCc/n7WvEvhmLxPbRWtzqF7b2ySpK0Vv5W2RkYMu7ejEjIHHTinT+G47/amqahe6hbKwb7NP5axMRyNwRF3D2bI9quUVJakRk4s5j4e6JBqfgaCbVLTbNPd3F5CuSktqJZGZQrLhkOCDwR96uk8rXNJ/1L/2xaD/AJZylY7lR7Nwj/Rtp9WNak9qTIJ7dhHOBjOPlcejD+vUfpTre6WYtGymOdPvxt1HuPUe9Sp2fLIpxurxKVlq2m6w7W4IFzGMyWlzHslQepRuce4yD2JqdtI0x/v6daN9YFP9KXUNKsdVjRL23WQod0b5KvGfVHGGU+4INZ3ka5pPNtL/AGvaD/ljOwS4Uf7MnCv7Bgp9XNXZGbSZoppOmxnKafaqf9mFR/SrSIka7URVHooxWfp+uWOozNbo7w3iDL2lwpjlUeu09R/tDIPYmtKiyBJIqajplrqkCxXKElG3xyIxV4m7MjDlT9Pp0NZq6ldaK6wa24ktSdsepBQq+wmA4Q/7Q+U/7OQDu0jKroUdQysMEEZBFMYtZ99YyNML2yZY71F2/N9yZf7j+3oeoPtkGj9hvNA+fSo2udOH3tP3fNEPWEnjH/TMnH90rjB1bDULXU7UXFpKJI8lTwQysOqsp5Vh3BwRSauVCbg7oSxvo76JiqtHLGdssL/ejb0P9D0I5FWqoX1g8sq3lm6xX0YwGP3ZF/uP6j0PUHkdwZLG/S9RxsaKeI7ZoH+9G39QexHBFJPozScE1zw26+X/AAC3RRRVGJk+IrSa40vz7RN99ZOLq2UdWdeqe29SyfRzV+zu4b+xgvLZ98E8ayxt6qwyD+RqesLRP+JfqWoaK3Ecb/a7X/rlISSo/wB2TeMdlKUAbM8EdzbyQTKHilUo6nuCMEVT0eaR7Nre4cvc2jmCVj1YgAqx/wB5SrfjWhWZL/omvwy9I72Mwt/10QFl/NfMyf8AZFS9GmbU/ei4fNfLf8PyRp1mp8niScf89rSMj/gDvn/0MVpVmzYHiWyPraXA+vzw/wD16JdGFHXmj3T/AA1/Q0qKKKoxCiiigAooooAKKKKACof9dN/0zjP5t/8AW/n9KWV2JEUZ+du/90etPRFjQKowBWMv3kuXot/8v8/u7lLRXHUUUVsSFFFFABRRRQAUUUUAFFFFABRRUNxcpbhcgtI3CRryzH2/x6Ck2oq7Gk27IdNNHbxGSVtqj9fYep9qrxwyXMiz3K7VU5jhP8Pu3qf0H606G2dpRcXRDSj7iD7sf09T7/yq1WaTnrLbt/n/AJf0ruoaR37/AOQUUUVqZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVT1HVLLSoFlvJxGHbbGoBZ5G/uooyWPsATQBcrL1DXbayuPscSSXmoEbltLYBnx2LEkBF92IHpk8VU26zrf3jJo9gf4QQbqUe55WIfTc3PVDWpp+m2el25gsrdYULbmxyzserMx5Zj3JJJoAzP7HvdX+fXp1+znpp1sx8r6SPwZfp8q+qnrW5HFHDEkUSLHGgCqijAUDoAKJJY4Y2kldUjUZZmOAB7ms7+1zc8aZavd56TMfLh/77I+Ye6hqTaRcKcp6pafh95p1RudWtLeYwBmnuR/ywgXe4+oH3R7tge9Rf2bdXfOo3rlT/ywtcxJ+LA7j+YB9KvW1rb2cIhtoI4Yx0SNQo/Slqy7U47u/pt9/wDwPmZ0sWp6nE0cojsLdxgqMSTEfX7qH/vql0ywtoZnaWPzL+Lhp5WLuVPQgnOAfQYGQR2rVqtdQuStxAB58fQE4Dr3U/54NZyhZ861ZSrNpwWifb9ev3lmio4J0uIVljJwex4IPcH3FSVqmmrowaadmFFRz3EFrC01xNHDEv3nkYKo+pNZX/CT6bLxYm41EnobKBpUP/bQDYPxYUxGzRWN9s166/499Jgs0P8AFfXALr/wCPcD/wB9ij+ydTueb7XZgO8djCsCEfU73H4MKANaaaK3iaWaRI41GWd2AA+pNZP/AAlGlycWUkuoHt9hhadc+hdRsH4kU+Hwzo8UqzNYpcTqcrNds1xIv0eQsR+da1AGN9u1y6/49tHitV/vX9yAw9wke8H8WFH9l6tc/wDH7rsiDvHYW6wqR7l97fiGFbNFAHMa34b0mHQNSuGtPtNxHaysk13I1w6EIeVaQkr+GK6ZQFUKoAAGABVLWkMuhahGOrW0i/mpq1A/m28Un95A35ip+0bP+CvV/kihqP8ApGoadZfwmQ3Mg9Vjxj/x9oz+FadZlr+/1+/m6rBHHbr7Ngu35h0/KtOiPVhV0UY9l+ev+S+Rm6yzSW8dhGxEl6/k5BwVTGXPt8oIB9SK0VVUQIoCqowAOgFZtl/pmrXV8eY4c2sH4HMhH1YBf+2dadEddQq+6lT7av1f/At87hRRUN1dW9jayXN1MkMEY3PI5wFFUYkxIAJJwB3rAN1c+ImMenSvb6VnEl8hw9x/swnsvrJ/3z/eALa58SEPfxSW2k9Us3G2S5HrKP4V/wCmfU/xd1G8AFUAAADgAdqAIrS0t7C1jtbWFIYIxhEQYAqaiqdwxupTZxEhcfv3B+6P7o9z+g+oqZy5UVGPMyGP97dG9C5t1JCAd+xkH8vpk960QQQCDkHoaFVUUKoAUDAA6AVCf9GJI/1J6j+57/T+VYRj7HV7Pfyff0/IqUufYmNLSZyuR6cYpa6TMKhuLZLgKSSsicpIpwyn2/w6GpqKTSkrMabTuiol08MghvAFJOElHCP7f7J9vyq3TXRZEZHUMrDBVhkEVV8uez/1O6eD/nmT86f7pPUex/PtWd5Q31X4/wDBLsp7aMXUNLsdVhWK9tkmCHcjHho2/vKw5U+4INZv2bW9J5tJ/wC1bQf8u90wWdR/sy9G+jgH1etmC4iuE3xPuAOCOhU+hHUGpK0TTV0Q007MzbDXbK/nNqGe3vVGWtLlfLlA9QD94f7S5X3rSqpf6ZZapAIb62jnQHcu4co395T1U+4wazfsmtaTzY3P9p2o/wCXa8fEyj/Yl/i+jgk93FMRu1lX+jmS6OoadMLPUcAGTbuSYDosq8bh6Hhh2PUF1hr1lfXH2RvMtb4DJs7pdkuB1IHRx/tKSPetOgDL0/WBcXBsb2E2epKu4wM2VkUdWjb+NfyIyMgZqa/sGnkS6tXEN7EMJIRkMP7jjup/TqKfqGm2uqW4huo9wVt6OpKvGw6MrDlWHqKzBqN3obCLWX86y6JqQUDb7TAcL/vj5T3C8ZTVyoTcHdGlYX63iujxmG5iIE0DHJQ9jnup7Hv9cgXKo31j9qMdzbSCG8iH7qYDIIPVWH8Sn0/EYIzTrC/F3vilj8m7hwJoSc7c9CD3U9j/ACIICTtozScFJc8Nuq7f8D/hn0vcrC8R/wCgmz11ePsDkXB9bZ8CTPsuFk/7Z1u0yWKOeF4pUV43UqysMhgeCDVGI+s7XEY6TLNGpMtsRcIB1JQ7sfiAR+NVvDUskdjLpc7s1xpkn2Ysx5eMAGN89yUK5P8AeDelbRGRg0mrqxdOfJNS7DUdZI1kRgyMAVI7g1n3P/Iw6ef+mE4/WOjQjt0mO3PW1Z7bnrhGKg/iAD+NFxz4jsB6Wtwf/Hoh/WpbvFP0Now5Kso9lL8maVFFFWcwUUUUAFFFFABTJZPLAwNztwq+pokkEajIJJ4VR1JpI4yCZJCDIfToB6CspybfJDf8v+D2KS6sIo9gJY7nblm9f/rVJRRVxioqyE3cKKKKoQUUUUAFFFFABRRRQAUUyaaOCMySuEUdzVX/AEi9/v29ufwkf/4kfr9KiU0nZasuMG9XsPlumaQwWqiSUfeY/cj+p9fYc/TrT7e1WFmkZjJM33pG6n2HoPapIoo4YxHGgRB0AFPpKDvzS3/IHLS0dgooorQgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo5p4raB5p5UiijBZ5HYKqgdyT0FZNx4gEtxJZaPbnUbtG2yFW2wQH0kkwQD/sqGb2xzSQ6AbiZLvXLgahcIdyRbdtvCR0Kx5OSP7zFj6Y6UAR/2tf6z8uhwCK2PXUbtCEI/wCmUfBf/eO1e4LdKuadodrYTtdM0l1fuu17y5O6Qj0HQIv+yoA9qVtagkcx2Mcl9IDg/ZwCin3c4UfTOfak+y6lef8AH3dLaxH/AJY2h+Y+xkIz/wB8hT71PN21NvYtaz09d/u3/Qs3epWliVWeYCR/uRKCzv8A7qjJP4Cq3n6pef8AHvbpZRH/AJa3PzOfoinA/Fs+1WrTT7SxDfZoFRn5d+rOfVmPLH3JqzRZvcOenH4Vfzf+X+dzOj0a28xZrtpL2dTlXuSGCn1VQAqn3ABrRqC7vbSwgM95dQ20Q6yTSBFH4ms3/hJbObjT4LzUSfum1t2KN9JWxH/49TSS2InUlP4mbNFY32nxBdf6mws7FD0e6mMsi/WNPl/8iUf2NfXPOoa5duD96K0VbeP8CMyD/vumQadzd21lA091cRQRL1klcKo/E1mf8JNYTcWCXWok/dNnAzo30lOI/wDx6prbw7pFpOtxHYRPcjpcTAyy/wDfx8t+tadAHOvNrzSyXNppkNnG6/OtzN5khPr5cfy5x6Sc4+lTRaZe38ay3ev3DxuM+XZRrbxkfX5pB+D1uVUkhkt5WntRuDHMkOcB/cejfof1rJpwd1saJqas9yrB4b0e3mWf7BHNcL92e5JnlH/A3Jb9a1ajgnjuI98bZGcEEYKn0I7GpK0TTV0Q007MKKKKYgooooAKKKKAGyxiWJ426OpU/jVHQpDL4f052+8bWPd7HaM1oVm6H8lhJATzBcTR49FEjFf/AB0rUv4kbR1pS9V+oaL89vc3B+9NdzEn1CuUX/x1BU2qXT2dhI8IBuGIjhU9DIxwufbJyfYGofD/AD4d05yMNJbpI31Ybj+ppG/03XlXrDYLuPvM4wPxVCf+/gqU/dXmayinXk3tG/4bL8kXLK1SxsobWMkrEgXcerHuT7k8n61PRWbqerLZSR2tvCbrUZhmG2Vscf3nP8CDux+gBOAdErHLKTk23uTajqdtpduJbgsWdtkUUY3SSv2VV7n+QBJwATVG10y5v7qPUdZC+ZGd1tZK26O3PZif45P9rovRe7NNp2ktBcG/v5hdak67TLtwkSn+CNf4V6Z7nAyTgY1KBBRRVSW5eWRre0wZBw8hGVj/AMT7fn7zKSitSoxcthbid/M+zW+DORkk8iMep/oO/wCdSwQJbxCNMnuWPJY9yfeiC3S3j2pkknLMxyWPqTUtKMXfmlv+Q5SVuWOwUUUVZBAVNvkoC0XdR1X6e3tUyMHQMpBBHBHSlqExtGS8XU/eQ9D7+xrHldL4dY9u3p/l93Yr4t9yaimRyrIDjII6qeop9axkpK6JasFFFFMCvNaJK/mozRTgYEidfofUexqMXUlv8t6oVf8Anun3D9f7v48e9XKKzcNbx0ZanpaWogIYAggg9CKWqhsvKYvZyeQSclMZjP8AwHt+GPxo+3eT8t5GYD/z0zmM/wDAu344o9pb49Py/r1HyX+HX8xb/TrPU7fyL62jnjzuAdc7SOhB6gjsRyKzPsOsaTzp11/aFqP+XW+c+Yo/2JuSfo4Yn+8K3QQQCDkHuKK0MzLsdfs7y5FnKJbO/wAZ+yXS7JDjqV5IcD1QsPetMgMpVgCCMEHvVe+0+z1K2Nve20VxCSDskUEAjoR6EdiORWX/AGfq+lc6Zd/bbYf8ud/ISwH+xNy34OGz6igBDp93oRMmjxmew6vppYAp7wE8L/uH5fQr3nDWuvWyXun3Hl3MJKpLtIeJv4o5EODjplTg9DwcGnWXiC0ublbOdZbG/PS1uwEdvXYQSrj3UnHel1DR/Puft9jN9j1IKF84LuWUDosi8b1/IjJwRk0mr6MqE3B3iT2F/wDaS8E8fkXkWPNhznjsynup7H8Dggirtc+LkalcR2d4h03W4QXhIO5XHcxtx5iHjKnBHGQODWlYX7Tu9tcxiG9iGZI85DD++h7qf06HmknbRmkoKS54fNdv+B+Wz7uhqP8AxLPEdjqQ4gvALC5Po2SYWP8AwIsn1lHpW7VPVdPTVdKubGRigmQqJF6xt1Vh7g4I9xUWhag+p6RDPOqpdLmK5jXokyEq4HtuBx6jBqjETTx5Wp6rD6ypMo9AyKv80ag/vPEo/wCmFmf/ACI//wBroT5PEs//AE1s48f8Ad//AIsUWX73WtUm/uGK2/75Xf8A+1az7LzOt7yl/dX6J/qaVFFFaHIFFFFABUckojwANzn7qjv/APWpGlLMUiAZh1Y9F/8Ar+1OjiEeTks56seprFzc3yw+/wDy7v8ABfgVa2rEjiIYu53SHv2A9BUlFFaQgoKyE3cKKKKoQUUUUAFFFFABRRVRr5XYpaobhxwSpwi/Vun5ZPtUymo7lRi5bFuqhvDMxSzQSnoZCcRr+Pc+w/Sk+xvcHN5J5g/54pxH+Pdvx49qtgBQAAAB0Aqffl5L8f8Agf1sV7sfN/gV4rMLIJpnM046Ow4X/dHb+fuas0UVUYqKsiJSctwoooqhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVa/wBRs9LtTc3twkEQIUFj94noAOpJ7AcmubuNcvtVma3tBNYQ9wkYkvHH+4flgB9ZOf8AZU80m0tyowlN2irm3qWuWmmypbt5lxeyDMVnbrvlceuOy/7TEKO5rMuoLm8i8/xFex6fYk4Fhbzbd/oJJeCx/wBhMDsS4qKOGHRLZmlubPQoJmzJLNMslzM3q8jnG7tzv9jUtrfabHL52m6ZqOpXJGPtHktlh7SzFVI9lbHtSu3sackI/G7+S/z2+65dt5pvs8dto+mLbWqDajzp5KKP9mMfMfoQo96l/sdbj5tSuJL0/wDPNvlhH/bMcEf724+9Q+b4iuv9Xb6fp6Ho0ztcP+KLsA/BzR/Ydxcf8hDWtQnB6xwOLZB9DGA/5uaOW+4e2cf4at+f3/5WL91e2Gl24e7uba0gHAaWRY1HtzgVQ/4SS2m40+0v9QPY29uQjfSR9qH8GqxZ6DpVhN59tp9uk/ecoGkb6ufmP4mtGqMTG8/xDdf6qzsbBD0e4ladx9Y02j8nNH9iXdzzqGt3soPWK2Itk/AoPMH/AH2a2aKAM208P6TZTieGwg+0D/l4dd8p+rtlj+daVFFABRRRQAUUUUAFFFFAFaa03yefC/lT4xvAyGHow7j9fQ0kd5iQQ3KeTMeFycq/+6e/061apskaSxmORFdG6qwyDWbg07xLU7q0h1FU/IuLb/j2k8xP+eUzHj6N1H45/CnLfxbgk4a3kPAWUYB+h6H8DR7RLSWn9dw9m3rHUtUUUVoQFFFFABWNv+y3utRdN8S3an6oUI/8hA/8CrZrE15fJlhuf4ZIpbVz2Addyk/8CQD/AIHUT2udGG1m4d/01/QtWs0en+HYJpSRHBaqzY64Cjp71JpVtJbWKmcD7TMxmnxz87ckfQcKPYCqCsL5NJsV5jESXU/+6oGwfi+D9EamyX1zrsjW2kymGxUlZtRUZLEdUhzwT6v0HQZOdpHUdb3U11bv/l+v4E17qs812+m6QqS3i486ZxmK1B5y+PvNjkIDk8ZKg5q1pmlQaZHIUZ5riY7p7mU5kmb1Y/yAwAOAAKmsrG2060S1tIhFEmcAEkknkkk8kk8knknk1JNPFbpvmkVF6AscZqm0ldnOk27Ikpks0cEZkldUUdyarfaLi44todi/89ZwQPwXqfxxUkVmiSCWRmmmHR37fQdB+FRzuXwL5/1v/WpfIo/F/X9f0iL/AEi9/v29ufwkf/4kfr9KtRRRwxrHEgRF6ACn0U4ws7vVkynfRbBRRRVkhRRRQAUDiiigCOSJZCGyVcdGHUU3zWi4nAA/56Dp+PpU1FZSp680HZ/1uv6ZSfRhRUPklOYW2f7J5X/634UCcKcTKYz6nlT+P+NL2vLpUVvy+/8AzsHLfYmooorYkKOtFFAFQ2KxktayNbnrtXlD9V6flg0faLiD/j4ty6j/AJaQZb816j8M1borP2aXw6fl9xp7Rv4tSKG5huATDKr46gHkfUdqlqCa0t7hg0kQLjo44YfQjkVH9nuov9Tdb1/uTru/Jhg/nmjmmt1f0/r/ADC0Xs7eo+9sbTUbZra9toriFuSkqBhnsee/vWV/Zuq6VzpV59rtx/y56hIzED0Sblh/wIP+FaX2uaL/AF9pIB3aH94v5D5v0qSK9tpm2RzIX/uE4YfgeaaqRbtcTpyWtjGk1DS9a26XqtvLZ3jNujt7r92+4dGikU4YjrlGJHtVa++06cqLq07vbxHNtrCKA9ufSZRxj1YDaR94LgE9FeWVrqFs9teW8VxA/wB6OVAyn8DWSdK1PTBnSLz7Rb/8+OoOzrj0SXl1/wCBbx2AFU1fRijJxfNEu6fqJuHNtcqsd4i7iqnKyL/fQ91/UdD2JpRf8SvxZLF0ttWTzU9BcRgBh/wKMKQP+mbHvXOzFLaaOC0hn0+cPuj0y4KoVfu1pJkoTjOY87SOoTJzffVP+Eh0iRLcKNa09xcQxkFC8kfOMNyu4EoynlQ/cEEpO2jNJRU1zw+a/wAvL8jel48TWn+1Zz/o8X/xVGhfvNO+1H/l6lknB9VZjs/8c21kajqaXf2G+sJCftenSi3boQ0rwKhP0JGfpXSwQpbW8cEQ2xxoEUegAwKlfGzappQi+/6N/wCaJKKa8iRrudgo96j3yyf6tdi/33H8h/jRKpGLtu+xyJNkjyJGMucenqfpUeJJvvZjj9AfmP8AhTkhVDuOWf8AvN1/+tUlTySn8ei7f5v9PzHdLYRVVFCqAFHQCloorVJJWRIUUUUwCiioZru3gIWWZEY9FLcn6DqaTkkrsaTeiJqKqfbJJOLe1lf/AGpB5a/rz+lHk3c3+tuFiX+7CvP/AH0f6AVHtE/hVyvZtfE7E808Vum+aRI16ZY4qD7VNN/x627Ef89Jsov4DqfyA96fDZW8D+YkeZP+ejks35nmrFFpvd29P6/Qd4LZX/r+upU+w+dzdytP/sAbY/8Avnv+JNWlUKoVQABwAO1LRVRhGOxMpOW4UUUVRIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVjahrF9DrUWmadpX2xzD508zziKOFSSFycEksVbgD+GtmuQ1/U7vVNXk8M+HpPJvXVW1LUEA/0KI9AD3lYZ2jsPmPbIBLZeMJbnUdWgk05Da6VEzXV3azmVBIBkxLlFLOByQOnAPPFef6L8ctT8UvdWeieEpnvU+dGEhmVI+m51Cg5yRwCM568c+qaBa6bp1i+kaVAI7WwYQHnOXKhmyepPzAknqSafpPhzRdCed9J0qzsmuDulNvCqF/rjt7dKT8iotJ3aujgLLTdWurv7fq085u8ECWWxupSqn+EIiIE9CFbB7g10Vva2SQiKe9114R0ht7Ga1jU+3lRq35sa7CipUWv6/4JvKtCSs07drq3/pJz1kdA06Qy2mlXEMx+9KulT+Y31bZk/iav/wBuWn/PHUP/AAXXH/xFaVFO0u5HNR/lf3r/ACM3+3LT/njqH/guuP8A4ij+3LT/AJ46h/4Lrj/4itKii0u4c1H+V/ev8jN/ty0/546h/wCC64/+Io/ty0/546h/4Lrj/wCIrSootLuHNR/lf3r/ACM3+3LT/njqH/guuP8A4ij+3LT/AJ46h/4Lrj/4itKii0u4c1H+V/ev8jN/ty0/546h/wCC64/+Io/ty0/546h/4Lrj/wCIrSootLuHNR/lf3r/ACM3+3LT/njqH/guuP8A4ij+3LT/AJ46h/4Lrj/4itKii0u4c1H+V/ev8jN/ty0/546h/wCC64/+Io/ty0/546h/4Lrj/wCIrSootLuHNR/lf3r/ACM3+3LT/njqH/guuP8A4ij+3LT/AJ46h/4Lrj/4itKii0u4c1H+V/ev8jN/ty0/546h/wCC64/+Io/ty0/546h/4Lrj/wCIrSootLuHNR/lf3r/ACM3+3LT/njqH/guuP8A4ikbWrJ1KtBfsp4IOnTkH/xytOii0g5qX8r+9f5GF9tsI/8Aj2Gq2/tHYT7f++TGQPwFH9uSR/8ALK4nHvp1zGf/AEBs/pW7RWfsrfC7en+Wxftqb3i381/lcxo/EcTvtbTdVX/a+wybf5Z/SrLa1aIuWS8Ue9lN/wDE1oUU+Wovtfh/wUS50W9ItfP/AIBknxJpgOC9z/4Bzf8AxNc9458Y6ZpvgvUb7y7qZolVo1+zSIPM3jYSzLgANg8+lbvibxFD4b0xLhoWubq4mW2s7VDhp5m4VQe3qT2AJqu+h6pqWlyxavqkcss6ESWiWsbWn+6VdS7L6ncCe23sctR6Nq3p/wAEaqUovmgmmttV/wDInnnw/wDFbeNdHnlvLW7itYTHb3EFpFJK1wFQBVLhflj6kr1JY5IXhvR49fRYkjt9LvYY0AVVksplCgdAAsZrnvhQjWPhlLKaygspJmku0hiTaFBcgp6krhOTzhlrv6SjJr3ZWRrVlGM37WN33vb9DC/tQS/62XUEH92DS51/UoT+WKkh1DTIH3pa35k6GRtPuGY/8CKZrZopqlZ3/r8zN1abVrP71/8AImb/AG5af88dQ/8ABdcf/EUf25af88dQ/wDBdcf/ABFaVFXaXcjmo/yv71/kZv8Ablp/zx1D/wAF1x/8RR/blp/zx1D/AMF1x/8AEVpUUWl3Dmo/yv71/kZv9uWn/PHUP/Bdcf8AxFH9uWn/ADx1D/wXXH/xFaVFFpdw5qP8r+9f5Gb/AG5af88dQ/8ABdcf/EUf25af88dQ/wDBdcf/ABFaVFFpdw5qP8r+9f5Gb/blp/zx1D/wXXH/AMRR/blp/wA8dQ/8F1x/8RWlRRaXcOaj/K/vX+Rm/wBuWn/PHUP/AAXXH/xFH9uWn/PHUP8AwXXH/wARWlRRaXcOaj/K/vX+Rm/25af88dQ/8F1x/wDEUHXLMjBh1D/wXT//ABFaVFFpdw5qP8r+9f5GP/atmvMSajH7DTpyv5bP5U5ddi3BWtr5snG5bCcfnlOPzrWorL2LXwO3pt92w+el1i/v/wCAZsmuWUUvlMt3v9Fspm/ktH9uWn/PHUP/AAXXH/xFaLIrrtZQw9CM1H9nQfcZ4/8Adbj8ulH75dn+H+f5gnRtqn96/wAil/blp/zx1D/wXXH/AMRR/blp/wA8dQ/8F1x/8RV3ZOv3ZVYf7ac/pijdOOsSH6P/APWo9rJfEmvlf8mw/c9E/vX+RS/ty0/546h/4Lrj/wCIo/ty0/546h/4Lrj/AOIq75r97eT8Cv8AjR5/rFKP+A0e2XV/gwtS/lf3r/Ipf25af88dQ/8ABdcf/EVHLq2nTrtmtL2RfR9MnI/VK0fP/wCmUv8A3zR5x7QSn8AP5mk6sWrXv8mNezWqi/vX+Rj/AGzT1/1K6tD6eXZXGB/wEoR+lH9rMn3Jb1x/020mcn81UfyrY8yU9IGH+8wH8s0ZuD2iT8S3+FR7v2U/kmv8kX7SHVP70/0MG61aG8tntr3SJru3cYeM2M7BvqrRY/WuR1fSHlkW90FtYsbyDBi+2WcrqMdBvwW28nhtwAJChcmvTPKkb787fRAAP6mkMMEamRwCFGS0hzj3yelFq72/G36X/Maq0U7qLv5P/gHgfhT4kvN8RbXQtT0xolhup0TySTslbJYbSM7N+4j+6CP7te5f2lA/3ry3gHu43frwP1rnfDWiabc+JNU8Stp1st/MyBJjEA6KUyMHqGKOme/WuyqvZymrqVv69b/iKu3CXJPW23lfW23mUY7zTVbcLy3Z/wC8ZgT/ADqX+0LL/n8t/wDv6v8AjUlyAbaXdKYRsP70AZTjryCOPcVw3h291PUfASeJNS1+S08yKW4UtbwiOOIM2wsNmT8oUnBHXjFXGEoq0bfd/wAEwcoPdP7/APgHaHUrEdb22H1lX/Gj+07HteQN/uuD/Ks/wjqd7rPhPTNT1GyFneXMAklhAICk9wDyARg4PTNbVVap3X3f8EV4dn9//AKn9o2/8PnP/uQO38hR9tZv9XZ3L/8AAQv/AKERVuijlm93+H/DhzQWy/H/AIYqedev9y0jQf8ATWbB/IA/zo8q9f79zFGPSOLkfiSR+lW6KPZ33bf9eVg5+yX9etyp9gRv9dPcTf70hA/JcD9KmhtoLcYhhjjB67FAqWimqcU7pCc5PRsKKKKskKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5+28FaLZJcLaLqEAuJWmmMWp3Kl3bqxIkzk+tdBRQBR0jR7HQtOSw06ExW6szgNI0jFmYsxLMSxJJPJNXqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDiPGkBh8W+D9bueNK0+5uFunP3Ymki2xyN6KGGNx4G4ZrprjVYivk2EsNzeSD92iNuC5/jbHRR1z36DkgVokZGD0qOGCG3UrBFHEpOSEUKCfXigDAnikh1DUJYELXFrKl5Gi9XjdNjoPr5bkf7WK6CGaO4gjmhcPFIodGHQgjINZ9z/o+vWU3RbhHtm92Hzp+iyfnTbL/iW6g+nNxBMWmtT2Hd4/wJ3D2JA+7WcdGdlX95BPql+C0f4q/o2atFFFaHGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWXqx+1yQ6Sv/Lxlp/aEfeH/AAI4X6EntWhcTxWtvJcTuEijUu7HsB1rH3z2ek32qyptv7lcpG3VO0UX5kZ/2maom+h0YeLvzddl6/8AA3+7uWtE+e2uLrvcXMkgPqobYp/75Va0qgsrVbKxt7VCSkMaxgnuAMVPVRVkZ1ZKU21t+nQ4/wCJmuwaP4G1OP7VDFe3cBtrZHkCszSEJkA+m7JPbFYfiSLw9B4MTS/DzQX2swxRw6bHYyCSVZVACudpOFGMkt8uAc16ZRTMyCzFwtjbi7ZWuRGomZBhS+PmI9s5qeiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKGsQSTabI0C7riErPEB/EyHcB+OMfjS3EMWr6bFJBLtLBZ7aYD7jYyrfryO4JHer1Zelf6LPdaYeBC3mw+8Tkkfk25cegHrUNa+p0Qk+S63i7/fo/wBPxLOnXv223PmJ5dxE3lzxZzscfzByCD3BFW6zb+3lguBqVmheZF2zQj/lvGOw/wBoZJH1I75F23uIru3juIHDxSDcrDuKafRkVIq3PDZ/g+3+X/DktFFFUZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZuoXUsky6dZNi5kXdJKOfIj6bv8AePIUevPQGk3YuEHN2RG5/tbUhEpzY2b5kPaWYchfovU/7WB2Ip+of6VqdjZDlVY3Uo9k+6P++ypH+4au2ttDZ2sdvAmyKMYUZz+Z7n371R0j/SpLnVDyLpgsJ/6YpkL+BJZvo4qLdH1N1NayjtHRer/Xd/KxqUUUVocoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZmrg2xh1RASbXPnAfxQtjf+WA3/Acd606CARg8ik1dF058kriAhlDKQQRkEd6yriOTSbh722jaS0kO65gQZKnvIg9f7y9+o5zuXTCbC4fSXPyIpktCe8Wfu/VCQPoV961aXxI0/hStun+K/r7mMiljnhSWJ1kjdQyupyGB6EGn1kyW82lSvc2UbS2rktNaIOVJ6vH7+q9+o5zu0ba5hu7dJ7eRZInGQy/56+1CfRkzp2XNHVf1oyWiiiqMgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorPvdQdZ/sVkizXrDJB+5Cp/ic+noOp+mSE3YuEHN2Qt/fvA6WtoglvphlEP3UXu7+ij9TwKlsLFLGFlDtJLI2+aZvvSP6n+QHYACksLBLJHJdpbiU7pp3+9If6AdgOBVmSRIo2kkYKigszMcAAdSaSXVlzkkvZw2/P/gdv6tn6vI8kcenQsVmvCULL1SMffb24OAfVlrQjjSKNY41CogCqo6ADoKz9Lje4kl1SZSr3ACwowwY4R90exOdx+oH8NaVEddQq+6lTXTf1/4G3/DhRRRVGIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFPUrN7uBWgcR3ULeZBIegYdj/skEg+x9afYXq31qJQhjcEpLE33o3HVT/nkYI4NWazL6GWzuTqdojOcBbmBRkyoOjKP76/qOPTEvR3N4NTj7N79P8vn+fqzTrNuNPlhuHvdNZY535lhfiOf64+63+0PxBwKvQTxXMCTwyLJFIoZWU5BFSU2kzOM5U3+f/BKdlqUV4zxFWhuoxmS3lwHX39CPcZFXKq3lhBfKvmhlkjOY5UO14z6qe38j3zVQXV9pp230bXVuOl1AnzKP9tB/Nc/RRSu1uackamtPft/l39N/U1aKjgnhuoVmt5UliYZV0YEH8RUlUYtNOzCiiigQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUEgAknAFUrvU4LaX7OivcXRGRbwjL49T2Ue7ECq40641E79WdDF1FnET5f8AwM9X+nC+x61Ll0RrGlpzTdl+L9F/S8xDfT6oTHpbBLfo98RkH2jH8R/2vuj/AGuRV6zsoLGDyoFIBO5mY5Z27sxPJPuanAAAAGAOgFLQl1YTqXXLFWX9bhWTdf8AE2vjYLzZwMGuz2duqxfyLe2B3OJdQvJfMWwsiPtkoyWIyIE6b2/oO59gSLVnaRWNqlvCDsXPLHJYnkknuSckn1ND952Kh+6jzvd7f5/5ff01noooqjAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMmaOTSJ5Lu3RpLKRi9xAoyYyesiD9WXv1HOQ2nFLHPCksLrJG4DK6nIYHoQafWVJaz6ZM9zp8Zkgdi01mDjk9Wj7BvVeh68HOZ+H0N7qqrP4vz9fPz+81aKhtbuC9txPbyB0JI6YII6gg8gjuDyKmqtzFpxdnuZ8+kwvO1zbSSWdyxy0sBA3n/aU/K31Iz6EUz7XqNnxeWguYx/y3swSfqYzyP8AgJatOip5exqqzatNXX9df6XkVrTUbO+3fZrhJGX76ZwyezKeQfqKs1Vu9Os7/abm2jkZfuORhk/3WHI/Cq39m3Vv/wAeWpzqo6R3I89PzOH/APHqLyQctKWzt6/5r/I06KzftGrwf62xt7hR/FbzbWP/AAFwAP8Avqj+2VT/AI+LDUID6G2Mv6x7hRzLqHsJv4dfRp/huaVFZv8AwkGkj/WX8MJ9Jz5R/JsU9Nb0mT7mqWTfS4Q/1o5o9xOhVW8X9zL9FUzq+mAZOo2g/wC26/41EfEGjKcHVrDPp9oTP86OaPcFRqvaL+40aKzf7esD/qmnn94LaSQfmqkUf2ndS8W+kXRz0eZkjX8ckt/47RzofsKnVW9dPzNKgnAyazNms3H35rOzXuIlaZvwZtoH/fJo/sO1lIN68983pcvuT/v2MJ/47RdvZB7OC+KX3a/5L8RX1u1d2jslkvpQcFbYblB9C5woPsTmm/ZtSvv+Pu4W0hP/ACxtWJc/WQgEf8BAI9a01VUUKihVAwABgClo5W9w9rGPwL5vV/5fhfzILWzt7GHyraFYkzkhRyx9SepPuanooqkrGTbk7sKo39+0Dpa2qCa+lGUjJ4Uf33PZR+vQUy61CRrhrLT1WW7H32b/AFcAPd8d/RRyfYc1NY2EdijkM0s8p3TTv96Q+/t6AcDtUt30RtGCguafyX+fl+f4hYWK2UTZcyzynfNMw5kb19h2A7CrdFFNK2hlKTk+ZhRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAoXWnMZzd2Mgt7sj5jjKS47Ovf69R644Ja6msk4tLuM2t4ekTHKyY6lG6MP1HcCr9Q3NrBeQGG5iWWM87WHQ9iPQ+9Ta2qNlUUly1NfPqv8/T7miaisvytR07/UMb+2H/LKVgJlH+y54b6Ng/7Rqxaana3khiRylwoy0EoKSKPUqece4496FLoxSpNLmjqv637FyiiiqMgooooAKY8MUn340b6qDT6KATtsQi1twci3iH/ABUoUKMKAB6ClooG23uFFFFAgooooAKKRmVFLMQqgZJJwBWYdWa7+XSoPtX/TdjtgH/Av4v8AgIPuRSbSLhTlPb/gGhNPFbQvNPKkUSDLO7AAD3JrN8681U4tvMs7I9Z2XEso/wBhT90f7R59B0NSw6VumS41Cb7ZcKcpldscZ/2E5wfc5PvWjSs3uac0Kfw6vv0+S/z+7qQ2trBZQLDbxiOMc4HcnqSepJ7k8mpqKKoxbbd2FFFFAgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKr3dja30YS5gSUKcqWHKn1B6g+4qxRQ1ccZOLunZmZ9iv7TmyvvNjH/LG8y/4CQfMPq26j+1ZoOL7TrmHHWSEeen4bfm/NRWnRU8ttma+1UvjV/wf9eqZVtdTsb5itrdwyuPvIrgsv1HUfjVqq91YWd8ALu0gnA6ebGGx+dVf7DtU5glu7c9hFdSBR9FJK/pR7wWpPq1+P46fkaVFZv8AZ16n+r1q7PtJHEw/RAf1o+zawPu6nbH/AH7Mn+Tii77B7OP86/H/ACNKis3yNaPXUbD8LF//AI7R9j1N/v6sF/65Wyj/ANCLUcz7B7OP86/H/I0qRmCqWYgKOSSelZ39kyPxPquoSr6b1j/WNVP60q6DpgYNJaLcMOQ1yxmYfQuSaLy7By0lvL7l/nb8hDr2nlikExu3HBW1QzYPoSoIH4kUnn6tdcQ2kVkh/jum3v8A98Icf+P/AIVpKoVQqgBRwAB0paLN7sPaQj8Mfv1/yX33M1dFhkcSX8st9IDkCcjYD7IML+JBPvWl0ooppJbETqSn8TCiiimQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==) +![md5:79441668e3d69c644744261e71aee5b3](79441668e3d69c644744261e71aee5b3.jpeg) Claim — Points \(B\) , \(D\) , \(M\) , \(N\) are cyclic. @@ -201,7 +201,7 @@ Let \(\Gamma\) be a circle with center \(I\) , and \(ABCD\) a convex quadrilater Let \(PQR S\) be the contact points of \(\Gamma\) an \(\overline{AB}\) , \(\overline{BC}\) , \(\overline{CD}\) , \(\overline{DA}\) . -![](data:image/jpeg;base64,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) +![md5:a5dbdbfdcca3b1c6bfecd8d382a56f47](a5dbdbfdcca3b1c6bfecd8d382a56f47.jpeg) Claim — We have \(\triangle IQZ \cong \triangle IRT\) . Similarly, \(\triangle IPX \cong \triangle ISY\) . @@ -242,7 +242,7 @@ Assume for contradiction no such \(k\) exists. We will use a so- called "thresho This process takes exactly 2021 steps. Right after the \(k\) th move, we consider a situation where we color walnut \(k\) red as well, so at the \(k\) th step there are \(k\) ones. For brevity, a non- red walnut is called black. An example is illustrated below with 2021 replaced by 6. -![](data:image/jpeg;base64,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) +![md5:9b665ae68de01be864315d2765666e09](9b665ae68de01be864315d2765666e09.jpeg) Claim — At each step, the walnut that becomes red is between two non- red or two red walnuts. diff --git a/IMO/md/en-IMO-2022-notes.md b/IMO/md/en-IMO-2022-notes.md index 21ada0491a15f282b3cb024bf70229f96aa5139c..7aeb0a8a91261bc31fbc29fd0ae522b10c3efa86 100644 --- a/IMO/md/en-IMO-2022-notes.md +++ b/IMO/md/en-IMO-2022-notes.md @@ -203,7 +203,7 @@ The conditions imply Define \(K = \overline{CT} \cap \overline{AE}\) , \(L = \overline{DT} \cap \overline{AB}\) , \(X = \overline{BT} \cap \overline{AE}\) , \(Y = \overline{ET} \cap \overline{BY}\) . -![](data:image/jpeg;base64,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) +![md5:69a529146f39e2dea861885131ca8e65](69a529146f39e2dea861885131ca8e65.jpeg) Claim (Main claim) — We have diff --git a/IMO/md/en-IMO-2023-notes.md b/IMO/md/en-IMO-2023-notes.md index 9c58d17173453af48e914bfa321403ce6c3d16a2..87c8ff4b63b93e8944d09b45a364812cc9aac019 100644 --- a/IMO/md/en-IMO-2023-notes.md +++ b/IMO/md/en-IMO-2023-notes.md @@ -57,7 +57,7 @@ is an integer for every \(n = 1,2,\ldots ,2023\) . Prove that \(a_{2023}\geq 303 5. Let \(n\) be a positive integer. A Japanese triangle consists of \(1 + 2 + \dots +n\) circles arranged in an equilateral triangular shape such that for each \(1\leq i\leq n\) , the \(i^{\mathrm{th}}\) row contains exactly \(i\) circles, exactly one of which is colored red. A ninja path in a Japanese triangle is a sequence of \(n\) circles obtained by starting in the top row, then repeatedly going from a circle to one of the two circles immediately below it and finishing in the bottom row. Here is an example of a Japanese triangle with \(n = 6\) , along with a ninja path in that triangle containing two red circles. -![](data:image/jpeg;base64,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) +![md5:9da4eaa978631cb5dd08f5eafa39675f](9da4eaa978631cb5dd08f5eafa39675f.jpeg) In terms of \(n\) , find the greatest \(k\) such that in each Japanese triangle there is a ninja path containing at least \(k\) red circles. @@ -122,7 +122,7 @@ Proof. Because \(\angle SPD = \angle LPD = \angle LBD = \angle SBE = \angle FCS Let us define \(X = \overline{AM} \cap \overline{BS}\) and complete chord \(\overline{PXQ}\) . We aim to show that \(\overline{PXQ}\) is tangent to \((PDLB)\) . -![](data:image/jpeg;base64,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) +![md5:7e0d0db34778aef897875aec0ca0bb2d](7e0d0db34778aef897875aec0ca0bb2d.jpeg) Claim (Main projective claim) — We have \(XP = XA\) . @@ -134,7 +134,7 @@ Proof. Introduce \(Y = \overline{PDF} \cap \overline{AM}\) . Note that where \(\infty = \overline{AM} \cap \overline{SF}\) is at infinity (because \(AMSF\) is a rectangle). Thus, \(XY = XA\) . -![](data:image/jpeg;base64,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) +![md5:95f3f042434581fd3a06437cc856202b](95f3f042434581fd3a06437cc856202b.jpeg) Since \(\triangle APY\) is also right, we get \(XP = XA\) . @@ -283,7 +283,7 @@ Available online at https://aops.com/community/p28104367. Let \(n\) be a positive integer. A Japanese triangle consists of \(1 + 2 + \dots + n\) circles arranged in an equilateral triangular shape such that for each \(1\leq i\leq n\) , the \(i^{\mathrm{th}}\) row contains exactly \(i\) circles, exactly one of which is colored red. A ninja path in a Japanese triangle is a sequence of \(n\) circles obtained by starting in the top row, then repeatedly going from a circle to one of the two circles immediately below it and finishing in the bottom row. Here is an example of a Japanese triangle with \(n = 6\) , along with a ninja path in that triangle containing two red circles. -![](data:image/jpeg;base64,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) +![md5:23e2a9f664502bdef460e30c440e5546](23e2a9f664502bdef460e30c440e5546.jpeg) In terms of \(n\) , find the greatest \(k\) such that in each Japanese triangle there is a ninja path containing at least \(k\) red circles. @@ -294,7 +294,7 @@ The answer is Construction. It suffices to find a Japanese triangle for \(n = 2^{e} - 1\) with the property that at most \(e\) red circles in any ninja path. The construction shown below for \(e = 4\) obviously generalizes, and works because in each of the sets \(\{1\}\) , \(\{2,3\}\) , \(\{4,5,6,7\}\) , ..., \(\{2^{e - 1}, \ldots , 2^{e} - 1\}\) , at most one red circle can be taken. (These sets are colored in different shades of red for visual clarity). -![](data:image/jpeg;base64,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) +![md5:49560cf9817747f6e465064b3a413b3e](49560cf9817747f6e465064b3a413b3e.jpeg) @@ -311,14 +311,14 @@ Connect the red circle to both circles under it; White circles to the left of th The circles in the bottom row are all leaves of this tree. For example, the \(n = 6\) construction in the beginning gives the tree shown on the left half of the figure below: -![](data:image/jpeg;base64,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) +![md5:b8b66fcf67f95f6123c131225cd2b2d8](b8b66fcf67f95f6123c131225cd2b2d8.jpeg) Now focus on only the red circles, as shown in the right half of the figure. We build a new rooted tree \(T_{2}\) where each red circle is joined to the red circle below it if there was a path of (zero or more) white circles in \(T_{1}\) between them. Then each red circle has at most 2 direct descendants in \(T_{2}\) . Hence the depth of the new tree \(T_{2}\) exceeds \(\log_2(n)\) , which produces the desired path. Another recursive proof of bound, communicated by Helio Ng. We give another proof that \(\lfloor \log_2n\rfloor +1\) is always achievable. Define \(f(i,j)\) to be the maximum number of red circles contained in the portion of a ninja path from \((1,1)\) to \((i,j)\) , including the endpoints \((1,1)\) and \((i,j)\) . (If \((i,j)\) is not a valid circle in the triangle, define \(f(i,j) = 0\) for convenience.) An example is shown below with the values of \(f(i,j)\) drawn in the circles. -![](data:image/jpeg;base64,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) +![md5:c224e1d6dd4bbbfcc2788d3977b0b4d1](c224e1d6dd4bbbfcc2788d3977b0b4d1.jpeg) @@ -378,7 +378,7 @@ so that In particular, \(\max (\alpha ,\beta ,\gamma)< 30^{\circ}\) , so it follows that \(A_{1}\) lies inside \(\triangle O B C\) , and similarly for the others. This means for example that \(C_{1}\) lies between \(B\) and \(A_{2}\) , and so on. Therefore the polygon \(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\) is convex. -![](data:image/jpeg;base64,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) +![md5:e37c2a042717b83d866f17db96e4dfd2](e37c2a042717b83d866f17db96e4dfd2.jpeg) We start by providing the "interpretation" for the \(480^{\circ}\) angle in the statement: diff --git a/IMO/md/en-IMO-2024-notes.md b/IMO/md/en-IMO-2024-notes.md index 0405dc7368c0748f64018a6995c5d42a5ba417e2..10a57bcb861b17b2a43fa50edfad6a74df2c2d62 100644 --- a/IMO/md/en-IMO-2024-notes.md +++ b/IMO/md/en-IMO-2024-notes.md @@ -183,7 +183,7 @@ Then there are \(N\) initial blocks placed, colored red. The rest of the blocks In other words, the yellow blocks \(B_{i}\) for \(i > N\) are given coordinates \(B_{i} = (a_{i},a_{i + 1})\) for \(i > N\) . Note in particular that in towers \(M + 1\) , \(M + 2\) , ..., the blocks are all yellow. -![](data:image/jpeg;base64,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) +![md5:1a4a7e7253b0ddf22f96b7b7a6d15d18](1a4a7e7253b0ddf22f96b7b7a6d15d18.jpeg) We let \(h_{\ell}\) denote the height of the \(\ell^{\mathrm{th}}\) tower at a given time \(n\) . (This is an abuse of notation and we should write \(h_{\ell}(n)\) at time \(n\) , but \(n\) will always be clear from context.) @@ -191,7 +191,7 @@ We let \(h_{\ell}\) denote the height of the \(\ell^{\mathrm{th}}\) tower at a g \(\P\) Up to alternating up and down. We start with two independent easy observations: the set of numbers that occur infinitely often is downwards closed, and consecutive terms cannot both be huge. -![](data:image/jpeg;base64,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) +![md5:1de27d96daadddccfdcbd38ca790caa0](1de27d96daadddccfdcbd38ca790caa0.jpeg) Claim — If the \((k + 1)^{\mathrm{st}}\) tower grows arbitrarily high, so does tower \(k\) . In fact, there exists a constant \(C\) such that \(h_{k} \geq h_{k + 1} - C\) at all times. @@ -228,7 +228,7 @@ For example, in the figure below, we illustrate how \[S(34) = (9, 11; a_{34} = 1) \longrightarrow S(36) = (9, 12; a_{36} = 2)\] -![](data:image/jpeg;base64,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) +![md5:f254ace49d8cc65ed775fdb4e197789a](f254ace49d8cc65ed775fdb4e197789a.jpeg) The final element \(a_{n}\) simply reminds us which tower was most recently incremented. At this point we can give a complete description of how to move from \(S(n)\) to \(S(n + 2)\) : @@ -289,7 +289,7 @@ Proof. The first part is true since \(\triangle BTC\) is the image of \(\triangl We thus delete \(K\) and \(L\) from the picture altogether; they aren't needed anymore. -![](data:image/jpeg;base64,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) +![md5:6ce8a585844b3d592c5d01d43ff6e787](6ce8a585844b3d592c5d01d43ff6e787.jpeg) @@ -326,7 +326,7 @@ Surprisingly the answer is \(n = 3\) for any grid size \(s\times (s - 1)\) when Case where \(M_{1}\) is not on the edge. In the first case, if that monster \(M_{1}\) is not on the edge of the row, then Turbo can trace two paths below it as shown below. At least one of these paths works, hence three attempts is sufficient. -![](data:image/jpeg;base64,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) +![md5:72bdf0c26992f31d328e7a49e773efb6](72bdf0c26992f31d328e7a49e773efb6.jpeg) Case where \(M_{1}\) is on the edge. WLOG, \(M_{1}\) is in the leftmost cell. Then Turbo follows the green staircase pattern shown in the left figure below. If the staircase is free @@ -335,7 +335,7 @@ Case where \(M_{1}\) is on the edge. WLOG, \(M_{1}\) is in the leftmost cell. Th of monsters, then Turbo wins on the second attempt. Otherwise, if a monster \(M_{2}\) is encountered on the staircase, Turbo has found a safe path to the left of \(M_{2}\) ; then Turbo can use this to reach the column \(M_{1}\) is in, and escape from there. This is shown in purple in the center and right figure (there are two slightly different cases depending on whether \(M_{2}\) was encountered going east or south). -![](data:image/jpeg;base64,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) +![md5:e32fae3dda39312392784826dede21f0](e32fae3dda39312392784826dede21f0.jpeg) Thus the problem is solved in three attempts, as promised. @@ -348,7 +348,7 @@ All \(s - 1\) cells in the first row (which has no monsters). The center \(s - 3 For \(s = 12\) , the happy triangle is the region shaded in the thick border below. -![](data:image/jpeg;base64,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) +![md5:dad22705de1fce8f8c261a2f7896a60a](dad22705de1fce8f8c261a2f7896a60a.jpeg) @@ -359,12 +359,12 @@ Then solutions roughly must distinguish between these two cases: - Inside happy triangle: If the first monster \(M_{1}\) is found in the happy triangle, and there is a safe path found by Turbo to the two shoulders (marked \(\bigstar\) in the figure), then one can finish in two more moves by considering the two paths from \(\bigstar\) that cut under the monster \(M_{1}\) ; one of them must work. This slightly generalizes the easier case in the solution above (which focuses only on the case where \(M_{1}\) is in the first row). -![](data:image/jpeg;base64,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) +![md5:3175236353305dd0f580909258076064](3175236353305dd0f580909258076064.jpeg) - Outside happy triangle: Now suppose the first monster \(M_{1}\) is outside the happy triangle. Of the two shoulders, take the one closer to the center (if in the center column, either one works; if only one shoulder, use it). If there is a safe path to that shoulder, then one can take a staircase pattern towards the center, as shown in the figure. In that case, the choice of shoulder and position guarantees the staircase reaches the bottom row, so that if no monster is along this path, the algorithm ends. Otherwise, if one encounters a second monster along the staircase, then one can use the third trial to cut under the monster \(M_{1}\) . -![](data:image/jpeg;base64,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) +![md5:2999c12eb3add7cd6a970f6aa2f09813](2999c12eb3add7cd6a970f6aa2f09813.jpeg) We now prove the following proposition: in any valid strategy for Turbo, in the case where Turbo first encounters a monster upon leaving the happy triangle, the second path must outline the same staircase shape. @@ -373,12 +373,12 @@ We now prove the following proposition: in any valid strategy for Turbo, in the The monsters pre- commit to choosing their pattern to be either a NW- SE diagonal or NE- SW diagonal, with a single one- column gap; see figure below for an example. Note that this forces any valid path for Turbo to pass through the particular gap. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHgAbwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD0L4nePL3wRaad/Z9nBcXF7I6jzslVC47AgkncO9cr/wALB+Kf/Qkx/wDgJN/8XS/Hv7/hf/r4l/8AadexV7k6+HwWBoVHRjOU+a7d+jstmZJOUmr7Hjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Vx/23Q/6BYfj/mV7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F0f8LB+Kf8A0JMf/gJN/wDF17HRR/bdD/oFh+P+Yezf8x45/wALB+Kf/Qkx/wDgJN/8XR/wsH4p/wDQkx/+Ak3/AMXXsdFH9t0P+gWH4/5h7N/zHjn/AAsH4p/9CTH/AOAk3/xdH/Cwfin/ANCTH/4CTf8Axdex0Uf23Q/6BYfj/mHs3/MeOf8ACwfin/0JMf8A4CTf/F1kL8fdctXkgvtBszcRuVYK7x7SOCCDnnOe9e9V8aeJP+Rp1f8A6/Zv/QzX0PD/ANTzWdSFXDxjypPS/X5mVXmp2sz2n49/f8L/APXxL/7Tr2KvHfj39/wv/wBfEv8A7Tr2Kvn81/5F2E/7if8ApSNYfHL5BRRRXzpsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVwHi7WrXQfF0N14ksZp/D0lkEhnFuZ4recOxcuoBwSuwBsHoQOprv6xpLzU7bX7oSWMs+lmCIxyRFSyyZfeNuckY2dM9enpURHMDWLHR/BfiLxN4cnOqWU264gWCQEW+2FVIw5G1VK52jkA4A7V07a/FYeH/7U1SGa0jTYp84oSxYqq42sQMswHJHvgc1zkvhOe70LxolparYnXEYW9q2FAbydm9gOFLtyfbBPOQNDUx4iuvDqrY201tL5tukkO6MTCEEecUOSu7GQMntkdqbswNm31uG5u7yyFvOl9aRrK9q4XeyNnaVIbaQSrDrwRzis/TfGNrq8MMllp2pSCYTBf3KgB4jhkZt21W9MkA+uQQM2003UrHxtNqtrplw1lPp8dvma4DyAxu7nO985YOAvJHHOKv+BLS/07w2LHUdOls5o7i4kw7xsGEk0jjBRm7MM5xz60mlYCPwr4gu/EHhY39xpt4jS+cyhXjyw8xwEQh+oGBk46dai07xRpeleD9DvEXU5tOuWjto7i4IklQs2xTKS2eSeozT/CFnqmh6FDptxZSkWQuAwRoz55MpZChLf3SfvY6+1YEWja7H8PNA0ptDuTe2eoW808Qmg4SOdZCc+Zg5GcD1HOKqyuB3NprUF1qs2mPDNb3kUK3HlTBfmjYlQwKkjqpBHUcccis0eNNPkitJoLa8nhvXdLKSNU23LKGJCZYdQrEbsZxxniqpS+h+IUus3Gmzw6YukiB7p5ItqMHMhyA5bGOM46+3Nc5pT/2NpWmXup6Bq/8AZGlhriGZZYHggBDDzhHkS7QrMQGBKg9MjhWQHp6tujDbWBIztPX6Vgaf4wtNSuPIisNRV1vHspd0IYQyqCSHKkgDA69ORnGRnoM/Lkc/TvXKeFbC/ij1+C/024slvdQnuI3aSJso4UD7jsQ3FSrWA0P+Eq0/7ENR2zf2YZPL+37R5X3tu7ru27uN2Md845qGbxhaQXGsQPYX+/SYhNdARr9w5IZfm+YEKx49COvFYJ8P6ufhqPBf2M+f9nFgb3cnk+X083727O3nbjO7jp81aer+G7qXxNpl3ZhXtJbU2Gp+Y33oVIkQ4/iyQ6H2lNVZAasHiGG4uNNijsr0/wBoQG4icIpVUGMliG4+8v8A30PetiuZ8H6Ne6RbS218B5dozWlid27NsrFkPscMqkf9Mwa6apdugwooopAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8aeJP+Rp1f/r9m/8AQzX2XXxp4k/5GnV/+v2b/wBDNfd8Dfxq3ovzZy4nZHtPx7+/4X/6+Jf/AGnXsVeVfHHR9R1K28PS6fB57x3bQhARku4UqMf8ANUf+En+MX/QsWv/AH5/+2Vx1sE8dl+HjSqRThz3TklvLQpS5Zu6PY6K8c/4Sf4xf9Cxa/8Afn/7ZR/wk/xi/wChYtf+/P8A9srz/wDV2v8A8/af/gaL9quzPY6K8c/4Sf4xf9Cxa/8Afn/7ZVKf4l/ELQ9W06313RLGFLyUIkboyGQZAOGDHH3hzg/Q01w3ipaQnBvspJsXto9me4UVg/bvFGD/AMSHTc/9hRv/AIzR9u8UYH/Eh03Pp/ajf/Ga+fNjeorC+3eKN2P7B03Hr/ajf/GaT7d4owf+JDpv/g1b/wCM0Ab1Fc5Lq3iaKSCNtA07dMxVcao3BAJ/54+gNTfbvFG7H9g6bj1/tRv/AIzQBu0Vgi+8UYP/ABIdN/8ABo3/AMZo+3eKMD/iQ6bn0/tRv/jNAG9RWF9u8Ubsf2FpuPX+1G/+M1C+reJo5oom0DTt0uduNUbsMn/ljQB0dFYP27xRgf8AEh03Pp/ajf8Axml+3eKN2P7B03Hr/ajf/GaAN2isEX3ijB/4kOm/+DRv/jNH27xRgf8AEh03Pp/ajf8AxmgDeornX1XxKl3FbnQdO3SKzA/2o2MDGf8Alj7ipPt3ijB/4kOm/wDg0b/4zQBvUVg/bvFGB/xIdNz6f2o3/wAZpft3ijdj+wdNx6/2o3/xmgDdorB+3eKMH/iQ6b/4NG/+M1E2reJluUt/7A07zHRnH/E0bGAQP+eP+0KAOjorC+3eKN2P7B03Hr/ajf8Axmk+3eKMH/iQ6b/4NG/+M0AbrKroVZQysMEEZBFZf/COaZ9nW2MUzWq4At2uJDFgdF2Ftu3/AGcY9qrfbvFGB/xIdNz6f2o3/wAZpft3ijdj+wdNx6/2o3/xmi4G7RXOf2t4m+1fZ/7A07zNm8f8TRsYzj/njUv27xRgf8SHTc+n9qN/8ZoA3qKwvt3ijdj+wdNx6/2o3/xmk+3eKMH/AIkOm/8Ag0b/AOM0Ab1FYP27xRgf8SHTc+n9qN/8ZqMar4lN4bb+wdO3BA5P9qNjBJH/ADx9qAOiorB+3eKMH/iQ6b/4NG/+M0fbvFGB/wASHTc+n9qN/wDGaAN6isL7d4o3Y/sHTcev9qN/8ZpPt3ijB/4kOm/+DRv/AIzQBvUVzi6t4ma5ktxoGnb40V2/4mjYwxYD/lj/ALJqb7d4o3Y/sHTcev8Aajf/ABmgDdorB+3eKOf+JDpv/g0bn/yDR9u8UY/5AOm59P7Ub/4zQBvUVhfbvFG7H9g6bj1/tRv/AIzUKat4lkuJoRoGnb4gpP8AxNGwc5x/yx9qAOjorB+3eKMf8gHTc+n9qt/8Zpft3ijcB/YOm49f7Ub/AOM0AbtFYP27xRz/AMSHTf8AwaNz/wCQaPt3ijGf7B03Pp/ajf8AxmgDeorxOb4lePtS8UappWh6JYyvYyvG8ShpCu1tpO4suefYfSrP/CT/ABi/6Fi1/wC/P/2yvf8A9XMUknKcI3SdnJJ6mXtonsdFeOf8JP8AGL/oWLX/AL8//bKP+En+MX/QsWv/AH5/+2Uf6u1/+ftP/wADQe1XZnsdfGniT/kadX/6/Zv/AEM17R/wk/xi/wChYtf+/P8A9srzkfDvxpr2o6lcro/79LphcoZY02SMqyYwW/uyKfxr6fhnCxyydSeIqwtJK1pIwrS50rJn0R4w3bvD+1d3/E5t88ZwMNzXS1zPjEZbw98wX/ic2/U9eG4rpq+KOkKK5bxjc3FklveWtxNEbZ0mmCSHa8YlRSrL05DMc9flrX1zUf7N0q5uAcPHC8mf7qqMk/0HuRUc6u0+h0/VZOMJR15m191v8zSrxn42f8jN4M/6+H/9Dir1Dw1bXEGgWbXk8813LCjzNLIW+YjJAB4GM449K8v+Nn/IzeDP+vh//Q4q9vh93x0H5S/9JZzYqCg5RTvZ7/M9iooor5YsKKKKAKtzv+1We2MMvmNubbnaNjc57c4H41aqrdKTd2REgXErZUn73yNwP5/hVqgAooooAKrT7/t1ptjDJl9zbc7eOOe1Waq3Ck39mfMCgF/lJ5bigC1RRRQAUUUUAVZd/wDaVtiMFPLk3PtztPy457Z5/KrVVZlJ1O1bzAAI5Pkzy33efw/rVqgAooooAKqvv/tSHEYMfkvl9vQ7kwM+/PHt7Vaqq6n+1oW8wACCQbM8n5k5x7f1oAtUUUUAFFFFAFU7/wC1F/djy/JPz7e+4cZ/pVqqpU/2sreYMeQRszz94c4q1QAUUUUAFVV3/wBqOPLHl+SuH299zcZ/pVqqqqf7WkbzBjyFGzPI+ZucUAWqKKKACiiigCrHv/tO4zGBH5Me19vU5fIz3xxx2z71aqrGp/tW5bzAQYYhszyvL849/wClWqACiiigAqrDv/tC63RgJtTa23G7rnnvVqqsKkaldHzAwKx/IDyvX+dAFqiiigAooooA8b+GP/JYPG3/AF2uP/Sg17RXi/wx/wCSweNv+u1x/wClBr2ivqs9/wB6X+GP/pKMKXwhRRRXjGgVz/h7/kOeLP8AsKx/+kVrXQVz/h7/AJDniz/sKx/+kVrQBD4y27vD27P/ACGrfGPXDV01cz4x3bvD+FDf8Tm3zxnAw3NdNQBy2qKdd0nxFFFbXQka18mFZbZ4/M2qWUruAz8zEfhUHiIXVzoUNnPa3TXN/JAlyIYHkEMO4FgSoI6A5929MV2FFZOne+u53U8byONo6Rd1r5L/ACT2EUgqCMgEcZGK8a+Nn/IzeDP+vh//AEOKvZq8Z+Nn/IzeDP8Ar4f/ANDir3sg/wB/j6S/9JZ5tX4T2KiiivlTcKKKKAKl35f2yw3ht3mtsx0zsbr+Gat1VuS4u7LbGGUyNuYrnaNjc57en41aoAKKKKACqlx5f9oWW4Nvy+3HT7vOat1VnL/brQCMMpL7m2528evagC1RRRQAUUUUAVJvL/tW03BvM8uTbjpj5c5/SrdVZS/9pWwEYK+XJl9udv3cDPbP9KtUAFFFFABVR/L/ALYgyG8z7PJg9sbkz+PT9at1Vcv/AGrCBGCnkSZfbyDuTAz788e3tQBaooooAKKKKAKh8v8AtheG8z7OfpjcP1q3VUl/7VUeWNnkH59vOdw4z/SrVABRRRQAVUXy/wC2JOG8z7OuT2xub9at1VUv/arjyxs8hfn28k7m4z/SgC1RRRQAUUUUAVIvL/te5wG8zyIt2emN0mMe/X9Kt1VjL/2pcAxgJ5MeH28scvkZ744+mferVABRRRQAVUg8v+07vaG37Y92enfGKt1VhL/2jdAxgLtTa+3G7rnnvigC1RRRQAUUUUAeN/DH/ksHjb/rtcf+lBr2ivF/hj/yWDxt/wBdrj/0oNe0V9Vnv+9L/DH/ANJRhS+EKKKK8Y0Cuf8AD3/Ic8Wf9hWP/wBIrWugrn/D3/Ic8Wf9hWP/ANIrWgCt4283ZoJhKeYNYgwHYqDw3GQDW4z6p5SbYLMyc7wZmwPTHy1jeMtu7w9uz/yGrfGPXDV01AFXdf8A2nHk23kf3vNbd09NuOvvTFfVPLfdBZiTjYBM2D65+SrtFAFJn1Tyk2wWZk53gzNgemPkrzP4u+GvEeuX2hXmk2cEzWkrhFE4DFjtYZDYH8B6E16zVK/8v7Rp/mb8/afk24+9sfr7YzXVgsXPCV1Xgk2r77aqxMo8yszyX+1PjX/0BrX8of8A4uj+1PjX/wBAa1/KH/4uvZ6K7f7Upf8AQLS/8Bf+ZPI/5meMf2p8a/8AoDWv5Q//ABdH9qfGv/oDWv5Q/wDxdez0Uf2pS/6BaX/gL/zDkf8AMzwh/HPxE0fxXolj4hs7WEXVwqrEQo3qx2E5RjjG78+xr2rde/aAPKt/J9fMbd09NuOvvXkvxa/5KX4L/wCu0f8A6OWvY6wzyNJ0sPWp01BzTuoqy0dh0r3abKivqOx90NqH42AStg+ufloZ9R8tNsNrv53AytgemPlq3RXzxsVt179oA8q38nufMbd09NuOvvVOU6kbq3LLaKw3bUE7Yfjv8vatWqlx5f8AaFlu3b8vtx0+7zmgAZ9R8tNsNrv53AytgemPlp269+0AeVb+T3PmNu6em3HX3qzRQBUV9R2PuhtQ/GwCVsH1z8tDPqPlpthtfM53AytgemPlq3RQBnSG8Or2xPkLEEf5fNO5vu5OMY4P86mV9R2PuhtQ/GwCVsH6/LRN5f8Aatpu3eZ5cm3HTHy5z+lW6AKjPqPlrthtfMydwMrYHpj5aduvfPA8q38njJ8xt3Tnjbjr71ZooAqK+o7H3Q2objYBK2D9flqtIdQ+3W7AWvmeVIGiMzYI3JyPl7fTvWpVR/L/ALYgzu8z7PJj0xuTP49P1oAduvfPA8q38njJ8xt3Tnjbjr701X1HY+6G1DY+QCVsHnv8tW6KAKhfUfLXbDa+Zk7gZWwPTHy07de+eB5Vv5PGT5jbunPG3HX3qzRQBlg6h/aBZhah/IISITNg/MOT8tWS+o+Wu2G18zJ3AytgDtj5aD5f9sL97zPs5+mNw/WrdAFbde+eo8q38njJ8xt3Tnjbj9aar6jtfdDahsfIBK2Cc9/l9Kt0UAVC+o+UuIbXzMncDK2MdsfLUAN5/bJP+j+X5KBk81tw5OSBt9cj8K0qqL5f9sSfe8z7OufTG5v1oAFfUdr7obUNj5MStgnPf5fSgvqPlLiG18zJ3AytjHbHy1booArbr7z1HlW/k8bj5jbvfA2/1pqvqO190NqGx8mJWwTnv8vpVuigDKQ6mNQmYLaFjFGDH57fLy/P3e/9Kubr7z1HlW/lcbj5rbh64G3+tNi8v+17nG7zPIi3Z6Y3SYx79f0q3QBUV9R2vuhtQcfJiVuTnv8AL6UF9R8pcQ2vmZO4GVsY7YO2rdFAFbdfeco8q38rjcfNbcPXA2/1rxy/8b+Pr7x9rGjeHLS1le1JBhwDhEIUtlyO7D869srx3wH/AMl68W/9cZv/AEbHX0GRQpWr1akFPkjdJq6vdGNVvRJif2p8a/8AoDWv5Q//ABdH9qfGv/oDWv5Q/wDxdez0V0f2pS/6BaX/AIC/8xcj/mZ4x/anxr/6A1r+UP8A8XR/anxr/wCgNa/lD/8AF17PRR/alL/oFpf+Av8AzDkf8zPH/hd4a8Vab4v1vWNasoIJLwnzg0y53O+8lQm78jjrXqavqeJN0FoDj5MTNyc9/l44otPL/tG/2b9+9N+cY+4MY/CrtceNxk8ZWdWaSeisttFYqMeVWKRfVPJUiCz83J3AzNjHbB2fWnb9Q89B5Nt5PG8+a24euBt5/P8AKrdFchRTV9TxJugtAcfJiZuTnv8ALxxWP4XMx1bxUbhY1l/tVNwjYsv/AB523QkD+VdJXP8Ah7/kOeLP+wrH/wCkVrQBD4xJDeHsKG/4nNv1GccNzXTVzPjEHd4fwwX/AInNvnnGeG4rpqACiiigAqneswnsdsSuDcYJK52DY/I9PTPvVyql6HM9jtlCAXHzAtjeNj8e/Y49qALdct4rubiyubK7trmaNLeWFrlVkO1o2mRACvTkF+evFdQTgE+npXKauj65oXiFbe2uxOYwsCyW7xlwi7l27gM/OW/Ssqvw2W53YBJVlKXw6X7au35Gt4j1M6Xol5cRttkjgeQH+6AOv1zgD3I96k0G0ntNGtVu55prtokM7yyFiXwM4z0GewrD8SCe4sLazltbl5L26gN35Nu8ixQq24ruUEdsfViehrrgcjNEdZthVSp4aMVu22/la343/BnjHxa/5KX4L/67R/8Ao5a9jrxz4tf8lL8F/wDXaP8A9HLXsdernP8AueE/wy/9KPOp/FIKKKK+eNgqrOWF9aARhgS+WK5K8evarVVZw3260IkCqC+5d2N3Hp3oAtUUUUAFFFFAFWUsNStgIwVMcmX28r93jPbP9KtVVlDf2lbESAL5cmU3YLfdxx3x/WrVABRRRQAVVct/asI8sFfIkJfbyDuTjPv/AEq1VVw39qwnzAE8iTKbuSdyc49ueff3oAtUUUUAFFFFAFUlv7VUeWNvkE79vOdw4zVqqpDf2qp8wbPIPybuc7hzj+tWqACiiigAqqpb+1XHljb5Cnft5J3NxmrVVVDf2q58wbPIX5N3Odzc4/rQBaooooAKKKKAKsZb+1LgGMBRDEQ+3ljl+M+3H51aqrGG/tS4JkBTyY8Ju5U5fJx2zx+XtVqgAooooAK8d8B/8l68W/8AXGb/ANGx17FXjvgP/kvXi3/rjN/6Njr6DJP4OK/wfqjGrvH1PZqKKK4CwooooAp2zMb++BiVQGTDhcF/lHU9/SrlVLYOL++LShlLJtUNnZ8o7dqt0AFFFFABXP8Ah7/kOeLP+wrH/wCkVrXQVz/h7/kOeLP+wrH/AOkVrQBD4y27vD27P/Iat8Y9cNXTVy3jYyhNA8lUaQ6xBt3gkA4bnitxv7U8pNps/M535DY9sUAXaKq/6f8Aaf8Al28j/gW7p+XWmL/anlvuNn5nGzAbHvmgC7VK/wDK8/T/ADC+ftPybf72x+vtjNDf2p5SbTZ+ZzvyGx7YqC8a9W/st0ds8JnwDhiyHY3Pp6j8aANSiqS/2n5b7zZ+ZxswGx75ob+1PKTabPzOd+Q2PbFAF2iqv+n/AGn/AJdvI/4Fu6fl1pi/2p5b7zZ7+NmA2PfNAHkvxa/5KX4L/wCu0f8A6OWvY68p+KHhPxPrWs+H9S0mK3lu7VmACsFCuDvU/Pxj5T+XvVLb8cP+nX/yWr3sRg44/B4dQrQi4JpqUrPV+jMlLlk7pnsdFeObfjh/06/+S1G344f9Ov8A5LVwf6vy/wCgil/4H/wCva+TPY6qXHl/2hZbi2/L7cdPu85ryfb8cP8Ap1/8lqoQ+K/iJo/jvRNJ8RtaF7yRQiNHGRtdtmcpyO9H+rtVpuFanJpN2UrvTXsHtl1TPcqKqN/aPlptNrv53ZDY9sU7/TftA/49/J7/AHt3T8utfPmxZoqov9o7H3G138bMBse+aG/tHy02m1387shse2KACby/7VtNxbzPLk246Y+XOf0q3WbIbsaxbAx25jKP8+G3L93PPTk/yqdf7R2PuNrv42YDY980AW6KqN/aPlrtNrv53ZDY9sU7/TfPH/Hv5PGfvbunPt1oAs1Ufy/7YgyW8z7PJj0xuTP49P1oX+0dj7ja7v4MBsfjVaQ6h9ut1EdqZTFITIVbAG5OB9f6UAalFVv9N88f8e/k8Z+9u6c+3Wmr/aOx9xtd2PkwGx+NAFuiqh/tHy12m18zJ3ZDY9sU7/TfPH/Hv5PGfvbunPt1oAafL/theW8z7OfpjcP1q3WWDqH9olWjtd/kEpIFb+8OCasn+0fKXabXzMndkNjHbFAFuiq3+m+ev/Hv5PGfvbunNNX+0dr7ja7sfJgNjOe9AFuqi+X/AGxJy3mfZ1z6Y3N+tB/tHylwbXzMndkNjHbFQKbz+2Svl2/l+ShZ8NuIyeAenXNAGlRVRf7R2vuNrux8mN2M570H+0fKXBtfMyd2Q2MdsUAW6Krf6b56/wDHv5PG77273xTV/tHa+42u7HyY3Yznv+FABF5f9r3OC3meRFuz0xmTGPfr+lW68T1fxX4+v/iPqeheHGtFmt0AKLHH8yqAclpPdz+dWdvxw/6df/Javfjw9V5IynWpx5knZys7PboZe1XRM9jorxzb8cP+nX/yWo2/HD/p1/8AJan/AKvy/wCgil/4H/wBe18mex1474D/AOS9eLf+uM3/AKNjpNvxw/6df/Jap/hz4T8W6d411rXNcit47u4tipLMpDu7q2cJxjCH8xXfhMFHAYfEOdaEuaNkoyu73XkiZS5mrJnsFFUj/ankrg2fm5O7IbGO2P1p3/Ew89P+PbyeN33t3vjtXgmpboqkv9p7ZNxtM4+TG7rnv+FB/tTyVwbPzcndkNtx2x+tABaeX/aN/sL796b89PuDGPwq7WVbtfHVLoCO1WINHvbDbn+QZwelWF/tPEm42mcfJgN1z3/CgC7RVI/2p5K4Nn5uTuyG247Y/Wnf8TDz0/49vJ43/e3e+KALdc/4e/5Dniz/ALCsf/pFa1qL/aeJNxtM4/d43dc9/wAKx/C/nf2t4q+0eX5v9qpu8vO3/jztumaAE8Ybt3h/a23/AInNvnnGRhuK6WuZ8Zbd3h7cSP8AidW+MeuGrpqACiiigAqpeCQzWWyQIPP+cFsbhsbj35wce3tVuqV+Izcaf5hYH7T8m0Zy2x+vtjNAF2iiigAooooAqXQk+2WOyQKolbeu7G8bG4x35wfwzVuqV4I/t2nbywcTNsAHBPlvnP4Zq7QAUVy3ia5uLPVdOuLa4mjjiuIVukEh2MkkgQZXp/e/Sr/inVH0zQL2aBisyQMysP4eMD8SxAH1z2rN1Er36HWsJKXs+V/H+H9XT+ZtV4z8Rv8Aktng36wf+jmr1jSLSWy0y3iuJpZrjy186SWQuWfAyeenPYcV5P8AEb/ktng36wf+jmr28j1ry/wT/wDSWcVdKLsnfU9iooor5c1CiiigCrKH/tG2IkATZJuTdjcflxx3xz+dWqqTCP8AtW0LFvM8uTaAOCPlzn9Kt0AFFFFABVVw/wDakJEgEfkvlN3U7kwce3PPv71aqo4j/tiAkt5n2eTAxxjcmfx6UAW6KKKACiiigCqQ/wDainzB5fkn5N3fcOcf1q1VQiP+2FOW8z7OeMcY3D9at0AFFFFABVVQ/wDajnzB5fkrhN3Q7m5x/WrVVFEf9sSHLeZ9nXIxxjc360AW6KKKACiiigDx3wv/AMnFeIP+vd/5R17NXjPhf/k4rxB/17v/ACjr2avqM4+Oj/17h+RhT6+oUUUV5BoFVIBJ/aV2WkDJtj2puzt6547Zq3VK3Ef9rXpUt5myLeCOB97GKALtFFFABRRRQBUthJ9uvS0gZNybF3Z2/KM8dqt1StBH/aN/sLF96bwRwPkGMfhV2gAooooAK5/w9/yHPFn/AGFY/wD0ita6Cuf8Pf8AIc8Wf9hWP/0itaAIfGJw3h75Q2dZtxz24bmumrmvGG7d4f2tj/ic2+ecZGGrpaACiiigAqnfNtnsB5Svm4xk5+X5H5H8vxq5VS883zrLy5No8/5xuxuXY3Hvzg49vagC3RRRQAUUUUAU7xtt7p48pW3TMNxz8n7tuR/L8atswVSxzgDPAyfyqrdeb9rsdkm1PNbzF3Y3DY2Bjvzg/hVugDkdYWbWfD+uG1tbr7RvRoElt3jZhGVZQNwGfmDHj1p3iMSzrY2b211Ibi9ilvDHbySIkSHft3KCOqqPxJrrKKydO/U7oY3katHRO6112S38rJ+oV4z8Rv8Aktng36wf+jmr2avGfiN/yWzwb9YP/RzV7uSf7xL/AAT/APSWebV2PYqKKK+WNwooooAqTNjVLVfLBzHJ8/OV+7/P+lW6rS+Z/aNttfEeyTcu7qflxx37/nVmgAooooAKqO3/ABN4F8sHMEh385HzJx+P9Kt1WfzP7Thw/wC68l8pu6ncmDj8+ff3oAs0UUUAFFFFAFQt/wATdV8sf6gnf3+8OKt1WPmf2mp3/uvJPybu+4c4/rVmgAooooAKqK3/ABN5F8sf6hTv5yfmbirdVl8z+1H+f915K4Td33HnH5c0AWaKKKACiiigDx3wv/ycV4g/693/AJR17NXjPhf/AJOK8Qf9e7/yjr2avqM4+Oj/ANe4fkYU+vqFFFFeQaBVOBs6reL5SrhI/nGct97+VXKqQ+b/AGld7pMx7Y9i7s7eueO3agC3RRRQAUUUUAU7Vs6hfjy1XDp8wzlvkHWrlVLbzft17vk3JuXYu7O35RnjtzVugAooooAK5/w9/wAhzxZ/2FY//SK1roK5/wAPf8hzxZ/2FY//AEitaAK3jcMU0ARuqyf2zb7Cy7hnDdRkVuMmqeUm2ezEnO8mFsH0wN3FY3jIgN4eyobOtW4+nDc101AFXbf/AGnPnW3kf3fKbd09d2OvtTFTVPLfdPZmTjYRC2B65+bmrtFAFJk1Tyk2z2Yk53kwtg+mBu4qtfJcnULAyzwiL7R+7VYjuLeW3U7sY69vStaqV8wWewBjD7rnAJz8vyPyP5fjQAKmqeW++ezMnGwiFsD1z83NDJqnlIFnsxJzvJhbB9MDdxV2igCrtv8A7TnzrbyP7vlNu6eu7HX2pipqnlvvnsy/GwiFsD1z83NXaKAMa9jvjcabuuLYTiV9uIGKk7G/2uOM/jir+2/+0g+dbeR3Xym3dPXdjr7Uy8YLfaeDGGLTMAxz8n7tuR/L8au0AUlTU/LffPZl+NhELYHrn5uaGTVPKQLPZiTneTC2D6YG6rtFAFXbf/aQfOtvI7r5Tbunrux19q8s+Ivg3xTrHivRdW0q5svtkCbYiAU2MjFw2G3A9f0r12qVywGpWKmMMSXw5zlflrqweLqYSr7WnZvVa6rUmUVJWZ5L/ZHxr/6DNr+cP/xFH9kfGv8A6DNr+cP/AMRXs9Fdv9rv/nxS/wDAET7Pzf3njH9kfGv/AKDNr+cP/wARR/ZHxr/6DNr+cP8A8RXs9FH9rv8A58Uv/AEHs/N/eeFadrvjzRfidomjeJNRinNyOUCIV8tyR1VQc5T9K9mVNR2PumtS/GwiJsD1z81eUeNf+TgvC3/XvF/6HLXsVYZ+qb9hVhBRcoXfKrK930HSvqioyaj5abZrXfzuJibB9MfNTtt754Pm2/k8ZHltu6c87sdfarNFfPGxUVNR2PumtS3GwiJsD6/NVSRLz+0bbE9uLnyZP+WLbCu5P9rOela1VHYf2vAvlgkwSHfzkfMnH4/0oAdtvfPB8238njI8tt3Tnndjr7U1U1HY+6a1LY+QiJsDnv8ANVuigCoU1Hy12zWvmZO4mJsH0x81O23vng+bb+TxkeW27pzzux19qs0UAZIS8/tQ7p7cz/ZzsxC20DcOvzVbKaj5S7ZrXzMncTE2CO2BuoLD+11XyxnyCd/OfvDirdAFbbe+ep8238njI8tt3Tnnd/Smqmo7X3TWpbHyERNgHPf5ueKt0UAVCmo+UuJrXzMncTE2CO2Burx/xPr/AI2vvixeeHvDl/FbyRQRhQUQBh5ayMSWB7sa9rrx2x/5Oc1D/r3H/pMle/w/Gn7StOcFLlpyaTV1dNdDKreyS7if2R8a/wDoM2v5w/8AxFH9kfGv/oM2v5w//EV7PRXT/a7/AOfFL/wBE+z83954x/ZHxr/6DNr+cP8A8RR/ZHxr/wCgza/nD/8AEV7PRR/a7/58Uv8AwBB7Pzf3njvgXwZ4v0/x9qGta1dWRvHtR5jH595c4Bwu0D/Vn9OK9Y26h9oU+dbeTxuXym3HjnB3Y/SmRMDrV0vlgMLeEl+ctlpOPTjH61drjxmMqYup7SokrJKyVkkioxUVZFJU1PbJvntC2PkxCwAOe/zc8UFNU8lQJ7PzcncTC2CO2Bu+tXaK5Cirt1D7Qp8628njcvlNuPrg7sfpVC2jvRqWof6RbGcpH/ywYKOuP4ueM/pWzVK3YHVb1RGFISPL85b738qAApqnkqBPZ+bk7iYWwR2wN31p23UPPQ+dbeTxuHlNuPrg7sfpVuigCkqantk3T2hOPkxCwwc9/m54oKap5KgT2fm5O4mFsY7YG761dooAyLVLr+17sxzwFd0fnKYTnOwfdO7+Yq0qaniTdPaE4+TELDBz3+bnii1YHUL9RGFKumWGct8g61doApFNU8lQJ7PzcncTC2MdsDd9adt1Dz0PnW3k8bx5Tbj64O7j8qt0UAU1TU8Sbp7QnHyYhbg57/NzxWP4XEw1bxULho2l/tVNxjUqv/HnbdASf510lc/4e/5Dniz/ALCsf/pFa0AReMN+7w/sOP8Aic2+eccYaulrmfGQUt4e3Ej/AInVvjjqcNXTUAFFFFABVW887zrPym2r5/7wbgMrsbj35xxVqqV+sZuNP3uVIucoAudx2Px7cZ/KgC7RRRQAUUUUAVbrzvtdl5bYTzW8wbgMjY2PrzirVUrxYzfacXcqwmbYAudx8t/y4zV2gAooooAKq3Hnfb7TY2Isv5g3AZ44471aqldLGdTsSzkODJtXbnd8vPPagC7XIeJVEevaZfxjYba7t45XXjeJWZCG9cfKfxrrnYqjMFLEDIUYyfbniuY1Cx1DV9A1KMWL215LcpNCs0iEHYybTlWOOEGfcnrWVVXjZHdgGoVeaTSWz16PR/hcl8Z3ssHh2+itmIlaMRgqcHdIQiAe5Jz9AfUVs6dp8GmWEVrAiqqKASBy5AA3H1Jx1rD1iyvri70qCOxmnt4bxbu6nV4wGKqSoALA/e2/QKOtdNTirzbYq0lHDwpxe7bf4JX+5v0Z4z41/wCTgvC3/XvF/wChy17FXjvjX/k4Lwt/17xf+hy17FXp55/Cwv8Ag/Vnn0t5eoUUUV8+bBVZ/N/tOLDfufJfcuerZTBx9M1Zqo4T+2IGLnzPs8gC44I3Jk5/L86ALdFFFABRRRQBWPm/2mvzfufJPy5/iyOcfSrNVCE/thW3nzPs5G3HGNw5zVugAooooAK8dsf+TnNQ/wCvcf8ApMlexV47Y/8AJzmof9e4/wDSZK+gyDfE/wDXqX5xMavT1PZqKKK4CwooooAqx+d/atxubMPkxbF3DhsvuOO38P5e1WqpRLGNau2DkyG3hDLt4A3SYOffn8qu0AFFFFABVWHzv7Rut7Zi2x7F3A4POeO3arVUrdYxq16VclykW5dvA+9jnvQBdooooAKKKKAKtv532283tmPcvljcDgbRnjtzVqqVosY1G/KuS5dN6lcbfkGOe9XaACiiigArn/D3/Ic8Wf8AYVj/APSK1roK5/w9/wAhzxZ/2FY//SK1oAh8ZEBvD2V3Z1q3A9uG5rpq5fxqJ2TQRbuqOdYg+ZhkDhu2RmttodSMaBb22DjO9jbEhvTA38frQBdoqr5d99p3faoPI/55+Qd3T+9u9famLDqQjcNe2xc42MLYgL65G/n9KALtUr9lWfTw0Yctc4UkkbTsfn+n40NDqRjQLe2wcZ3sbYkN6YG/iorlNSF9aslzD5Bm+dBFg42N3Lc844A/lQBpUVSWHUhG4a9ti5xsYWxAX1yN/P6UNDqRiQLe2wcZ3sbYkN6YG/j9aALtFVfLvvtO77VB5H/PPyDu6f3t3r7UxYdSEbhr22LnGxhbEBfXI38/pQAXjKt9pwaMMWmYKxJ+U+W/P9Pxq7WVdRat5lisd5AD5jea3kcEbTj5d+f19+1W/LvvtIb7VB5HePyDu6f3t3r7UAWqKpLDqQjcNe2xc42MLYgL65G/n9KGh1IxIFvbYOM7mNsSD6YG/igC7VK5ZRqVipjDMxk2tk/L8tP8u++0hvtUHkd4/IO7p/e3evtVKWHWBcwAX1uQd2SLcgDjuN+T+HSgDXoqk0OpGJAt7bBxncxtiQfTA38U/wAu++0hvtUHk8Zj8g7un97d6+1AFqiqSw6kI5A17bFzjYwtiAvPORv5/ShodSMSBb22EgzuY2xIPpgb+KAPJvGv/JwXhb/r3i/9Dlr2KvLPiD4A8S694z0/XND1C0hngtxGrSExmMqxORw2c7z9Kof8If8AF/8A6Gq1/wDAhv8A43Xu4rC0cdQoNV4xcY2ad73u/IyjJxb0PYqK8d/4Q/4v/wDQ1Wv/AIEN/wDG6P8AhD/i/wD9DVa/+BDf/G64f7Cp/wDQVT+9/wCRXtX/ACs9iqo7L/a8C+WCxgkIfPQbk4/l+VeUf8If8X/+hqtf/Ahv/jdUNE1Tx1ovxT0/w5rWurcmeNi4x5se0ozDqFOcrTeQXhOVKvCTinKybvZb9A9rrqj3Giq3l3nnhvtMPlcZTyTk8c87v6U1YtQCOGu4CxHykW5AHPcb+a+eNi3RVQxagY1Au4A4J3Mbc4Ppxv4p3l3nnhvtMPlcZTyTk8c87v6UANLL/a6r5Y3eQTvz23DirdeJ+LdX8a3/AMUh4X0XW0tn8kGPC+Wh+TeSeGOeMVa/4Q/4v/8AQ1Wv/gQ3/wAbr6COQv2cKlSvCPOlJJt3s9uhj7XVpI9iorx3/hD/AIv/APQ1Wv8A4EN/8bo/4Q/4v/8AQ1Wv/gQ3/wAbo/sKn/0FU/vf+Qe1f8rPYq8dsf8Ak5zUP+vcf+kyUf8ACH/F/wD6Gq1/8CG/+N1Z8F/D7xXpvxBbxD4g1KzuJfJIeRHMjSZGwDouMAdfYda78FhKOAhXnKvCXNCUUle93by8iZScmlbqeu0VSWHUgkga9tixHyEWxAU57/Pzx9KDDqRiUC9thICdzG2JBHbjfx3714JqXaKq+VffaFb7VB5IxuTyDk8c87+Pypiw6kFkDXtsWI+Qi2I2nPf5+ePpQARMp1q7QRgOLeEl8nLAtJgY9sH86u1kJDrBv5lN9bBBFHgm3JBOXzhd+R257/hV3yr77QrfaoPJGNyeQcnjnnfx+X50AWqKpLDqQWQNeWxYj5CLYjac9/n54+lBh1LylAvbYSAnc32Y4I7cb+O/egC7VK3ZTq16ojAYJHl8n5vvfyp/lX/2hW+1QeSMbk8g5Prg7+Py/OqkEWq/bLwSXkBXYnlHyOFPOeN+f8+1AGrRVIw6l5SgXtsJATub7McEduN/HfvT/Kv/AD0b7VB5QxuTyDk+uDv4/Lj3oAtUVSWHUQsm68tySPkItiNpz3+fnj6UGHUvJUC9thICdzfZjgjsMb+O/egAtGU6jfqIwrK6bmyfm+QVdrMgj1I6lOWuofs4ZPkMWSflG7B3fLznqDUyw6iBJuvLckj5CLYjac9/n54+lAF2iqRh1LyVAvbYSAnLfZjgjsMb/r3p3lX/AJ6N9qg8oY3J9nOT64O/j8jj3oAt1z/h7/kOeLP+wrH/AOkVrWosOogSbry3JI+TFsRtOe/z88fSsfwusy6t4qE8iSSDVUyyJtB/0O27ZP8AOgBvjIKW8Pbmx/xOrfHGcnDV01cz4yKhvD2VznWrcDnocNzXTUAFFFFABVK/VGuNPLuVIucqNudx2Px7cZ/KrtUr9kWfTw8e8tc4U5xtOx+ffuPxoAu0UUUAFFFFAFK8WM32nFnKsJmKLtzuPlvx7cZNXapXjIt9pwaPczTMFbONp8tuffjj8au0AFFFFABVK6VDqdizOQ4Mm1dud3y889qu1SumQanYq0e5mMm1s/d+XnjvQBdooooAKKKKAKU6odYs2L4cRS7V2/eHyZ57Y4/OrtUp2QavZqY8uYpSr5+79zIx78flV2gAorkNXUQeMdM1GIbFF2tnLt43s8Tn5vXrHjNT+NbiWTRpLC2kZJLmWK1DKcHfIwGAfZcsfoPWsnUsm7bHdHBOU6cVL47a9tTqK8Z1v/k5PR/+vcf+ipK9gtbWCzt1gt4ljjXoqjFeP63/AMnJ6P8A9e4/9FSV7mT71/8Ar1P8jzqtrq3c9iooor5c2CiiigDxx/8Ak5yD/r3P/pM1ez14w/8Ayc5B/wBe5/8ASZq9nr6jNfgw3/XqH6mFP7XqFFFFeQaBVJVT+25G3nzPsyApt7bm5zV2qSsn9tyJ5fz/AGZCXz1G5uMUAXaKKKACiiigClEsY1q7YOTIbeEMm3oN0mDn35/L3q7VKJkOtXaCPDi3hJfP3gWkwMe2D+dXaACiiigAqlbqg1a9ZXy5SLcu37v3sc96u1St2Q6teqI8OEi3Pn733scdsUAXaKKKACiiigClaKg1G/KuWYum5duNvyDHPertUrRkOo36rHtZXTc2c7vkH5VdoAKKKKACuf8AD3/Ic8Wf9hWP/wBIrWugrn/D3/Ic8Wf9hWP/ANIrWgCLxhv3eH9n/QZt930w1dLXM+Mgpbw9ubGNatyOOpw3FdNQAUUUUAFVbvzvOs/J+75/7zp93Y39cVaqlfqjT6eXk2FbnKjGdx2Px7dz+FAF2iiigAooooAq3Pnfa7Ly/wDV+a3m9OmxsfrjpVqqV4qNfacWk2sszFVxncfLbj245/CrtABRRRQAVVn877dabP8AVZfzOnpxVqqV0qHU7Fmk2uDJtXGd3y889qALtFFFABRRRQBVl87+0rbZ/qfLk8zp1+XH9asSOyRs6xtIwGQi4y3sMkD8zVSdUOr2bGTDiKXamPvD5M89scfnV2gEcvd6fqOpaKjLZm21BNSjulSd0IwsoIJKkjATj14p+oWV7NrmjIthPLY2czzzTb4wHkKkK2N2eCzE8fQV0tFZumu/9I7FjZrZLr30urd+nQK8Z1v/AJOT0f8A69x/6Kkr2avGdb/5OT0f/r3H/oqSvbyfev8A9e5/kefU6eqPYqKKK+XNwooooA8cf/k5yD/r3P8A6TNXs9eMP/yc5B/17n/0mavZ6+ozX4MN/wBeofqYU/teoUUUV5BoFVV87+1ZM/6jyFx0+9ubPv0xVqqSqn9tyP5n7z7MgKY6Dc3OaALtFFFABRRRQBVj87+1Ljd/qPJi2dPvZfd79NtWqpRKg1q7YSZc28IZMfdAaTBz75P5VdoAKKKKACqsPnf2jdb/APU7Y/L6e+f6Vaqlbqg1a9ZZMuUj3Lj7v3sc980AXaKKKACiiigCrb+d9tvPM/1W5fL6dNoz+tWqpWioNRv2WTczOm5cY2/IO/ertABRRRQAVz/h7/kOeLP+wrH/AOkVrXQVz/h7/kOeLP8AsKx/+kVrQBV8bhmTQFRtrnWbcK2M7Thucd63Wtr4xIq6gFcZ3N5AO704zxWP4w37vD+z/oM2+76YauloAq+Rd/ad/wBsHlf88/KHp65/GmLbXwjdW1AM5xtbyANvrxnmrtFAFJra+MSKuoBXGdzeQDu9OM8VVvo511Cwd7gPG1xhY/LA2ny35z37/nWvVW787zrPyRlfP/ecDhdjf1xQAxba+Ebq2oBmONreQBt9eM80NbXxiRV1AK4zubyAd3pxnirtFAFXyLv7Tv8Atg8r/nn5Q9PXP40xba+Ebq2oBmONreQBt9eM81dooAxb6G6FzpiG8BlMzgSeUOD5bHOM+mR+NaHkXf2kP9sHlf8APPyh6euaLnzvtdl5YzH5rebwOBsbH64q1QBSW2vhG6tqAZjja3kAbfwzzQ1tfGJFXUAHGdzeQPm9OM8VdooAq+Rd/aQ/2weV/wA8/KHp65rPngu1vrRJLwPK+/y5PKA8vA5475HFbVVZ/O+3Wmwfusv5hwPTj9aAGNbXxiRRqADjO5vIHzenGeKf5F39pD/bB5XGY/KHPHrmrVFAFJba+EcgbUAzNja3kAbefrzQ1tfGJFGoAOM7m8gfN6cZ4q7RQBkTRzjxBZFrgEGKQgbAMAbMj8Tg+2KtLbXwjkDagGYgbW8gDbz9eafL539pW2wfufLk3nA6/Lj+tWqAKTW18YkUagA4J3N5A+b04zxT/Iu/tIf7YPKGMx+UOePXNWqKAKS218EkDagGZgNreQBt5+vNeX+NPh54h1jx1aarpGtwQXn2UkSvuiZNh2nBUHqHH6167VV/O/tWHA/ceRJuOB97cmPfpurqwmMq4Sp7Sla7VtVdWZMoqSszyL/hX3xT/wCh2j/8C5v/AIij/hX3xT/6HaP/AMC5v/iK9noru/tuv/JD/wAAX+RPs0eMf8K++Kf/AEO0f/gXN/8AEUf8K++Kf/Q7R/8AgXN/8RXs9FH9t1/5If8AgC/yD2aPHPC/w58Tad8QodY1rXYLm6jt3YSqWlZsjywDuA7GvVmtr4xIo1ABwTufyB83pxmnnzv7VXj9x5B5wPvbh+PSrVcWMxtXFzU6ttFZWVlZFRioqyKvkXf2hX+2DyhjMflDnjnnNMW2vgkgbUAzMPlPkAbefrzV2iuQopNbXxiRRqADgnc/kDkduM1VWK4/4SJv9IHFshb92PmG5hj25yfxrXqqvnf2rJkfuPIXBwPvbmz79MUAMW2vgkga/DMw+U+QBt5+vNBtr4xKo1ABwTufyByO3Gau0UAVfIu/tCv9sHlDGY/KHPHPOaYttfBZA2oBiw+U+QBt5+vNXaKAMWOC7Oq3Ea3gWdYIi83lA71LSYG3oMYPPfPtWh5F39oV/to8oYzH5Q5455z3oj87+1LjcP3HkxbDgfey+736batUAUltr4LIGvwxYfKfJA2nP15oNtfGFVGoAOCSX8gcjsMZq7RQBV8i8+0K/wBtHljG6Pyhz68571QtYbr+09QT7WPM2R/vPKHvjjPpkfjWzVWHzv7Rut4/c7Y/LOB15z/SgBhtr4wqo1ABwSS/kDkdhjNO8i889H+2jyxjdH5Q59ec96t0UAUlt74LIGvwxYfKfJA2nP15oNtfGFVGoAOCSX8gcjsMZq7RQBkWsVw2r3hW5CqjR+YPLB8z5B+VWltr4CTdfhiw+U+SBtOfrzT7fzvtt55g/dbl8vgcjaM/rVqgCkba+MKqNQAcEkv5A5HYYzTvIvPPR/to8sY3J5Q+b15zxmrdFAFNbe+Ak3X4YsPl/cgbTn681j+F0kj1bxUs0vmyDVUy+3bn/Q7btXSVz/h7/kOeLP8AsKx/+kVrQBD4yALeHsttxrVuRx14biumrmfGRUN4e3Ln/idW+OcYOGrpqACiiigAqlfqjXGnlpAhW5yowTuOx+P5n8Ku1Sv2jFxp+9CxNzhSGxtOx+ffjP50AXaKKKACiiigCleKjX2nFpArLMxVcE7j5b8e3HP4VdqleNGL7TgyFmMzbCGxtPlvz78ZFXaACiiigAqlcqh1KxYyBWUybVwfm+WrtUrpoxqdiGQlyZNrbsbfl5470AXaKKKACiiigClOqHWLNjIA4ilwmD83KZ59v61dqlO0Y1izUoS5il2tu6DKZ479qu0AFFFFABVKRU/tu3cyAOLaUBMHkbo8nPtgfnV2qUjR/wBt26lCZDbSkPu4A3R5GPy/KgC7XIX6i38cabfRjy43uGspQvG9jCzgn1/hH4V1krtHEzrE8rAZCIRlvpkgfma5q50/UdQ0izdbQ217DqS3RSd1OBvJPKkggKxHrxWVXXb1O7AtRbcmkmnHfunr8hPGc0lzpqabBIyG6uobUuhwdzMCRn2QMT+HvXSwW8NrCsNvEkUa9FQYArnruyvJfEmj7bCdrCxMsjzF4/nlYbQ2N2eNzk8dT0rpacFeTbFiJKNGnTi9NW/Vu2vySfzKRVP7bV/MG/7MRswem4c5q7VItH/barsPmfZid+7jG4cYq7WhxBRRRQAVSVU/tuR/MG/7Mg2YPA3NzmrtUlaP+25F2HzPsyEvu4xubjFAF2iiigAooooApRKg1q7cSAubeEFMH5QGkwc++T+VXapRNGdau1CESC3hLPu4I3SYGPbn8/artABRRRQAVSt1QatesJAWKRbkwfl+9j86u1St2jOrXoVCHCRbm3dfvY47UAXaKKKACiiigClaKg1G/ZZAzM6blwfl+QVdqlaNGdRvwqEOHTc27O75BjjtV2gAooooAK5/w9/yHPFn/YVj/wDSK1roK5/w9/yHPFn/AGFY/wD0itaAIvGG/d4f2DP/ABObfPHbDV0tct42jMiaAqzGFjrNvhwASDhvUYrcazujEijU51Zc7nEceW+vy449qALtFVfs1x9p8z7fN5f/ADy2Jjp67c+/WmLZ3QjdTqc7M2NrGOPK/T5f50AXaq3nnedZ+UuV8/8AecA4XY3PtzimNZ3RiRRqc6sudziOPLf+O449qr3trKb+ykfUJAgn+WJkXBPlt0IXOep5OOvtQBq0VSWzuljdTqc7M2NrGOPK/T5f50NZ3RiRRqc6sudziOPLfX5cce1AF2iqv2a4+0+Z9vm8v/nlsTHT1259+tMWzuljdTqc7M2NrGOPK/T5f50APuvO+12XlrmPzW8w4BwNjY+nOKtVj3lnO0+nKdUlWRZXwxjTLnY3+zjgZ/8A14q99muPtIk+3zeX/wA8tiY6eu3Pv1oAtUVSWzuljdTqc7M2NrGOPK/T5f50NZ3RiRRqc6sucuI48t/47jj2oAu1VuPO+3WmxcxZfzDgHHHHPaj7NcfaRJ9vm8v/AJ5bEwePXbn361Qnsbj7bahtXm3nfszGmenOMLj86ANmiqTWd0YkUanOrLnLiOPLf+O44p/2a4+0iT7fN5Yx+62Jg8eu3Pv1oAtUVSWzuljkU6nOzNjaxjjyvPb5f50NZ3RiRRqc6sucuI48t/47jigB8vnf2nbbVzD5cm84HB+XHP51arKltZf7dtJTqD4EcmISi8j5c84+h6/SrC2d0scinU52ZgNrGOPK89vl/nQBdoqk1ndGJFGpzhlJy4jjy3/juOKf9muPtIk+3zeWMZi2Jg8eu3Pv1oAtVVfzv7Vhwv7jyJNzYHDbkwM/TdTFs7pUkU6nOzMBtYxx5Xnt8v8AOqktlOdStl/tWVZlgl58tNzDcn+ztwOPfn60AbFFVfs1x9pEn2+byxjMWxMHj1259+tMWzulSRTqc7FgNrGOP5ee3y/zoAu0VSazujEijU5wwJy/lx5b/wAdxxT/ALNcfaFk+3zeWMZi2Jg8eu3Pv1oAD539qr8v7jyD82B97cOM/SrVY4spxqrZ1WVpWtyFzGm5RuHI+XHtzVtrO6MSINTnDAklxHHlv/HccUAXaKq/Zrj7Qsn2+byxjMWxMHj125/WmLZ3SpIDqc7Fh8rGOP5ee3y/zoAu1VXzv7Wkyv7jyFw2B97c2Rn6YpjWd0YkQanOGBJL+XHlvb7uOKrray/2+0n9oScQJuh2LyAT1O3oTnpz+GKANWiqS2d0qSA6nOxYfKxjj+Tnt8v86DZ3RiVBqc4YEkv5ceW9vu44oAu0VV+y3H2hZPt82wYzFsTB49duefrTFs7pVkB1OdiwwpMcfy89R8v4c0APj87+1bjcv7jyYtjYHLZfdz/3z+dWqxY7G5/tS4xq83meRFuxGmcbpMZ+XHr09DntWh9luPtCyfb5tgxmPYmGwOeduefrQBaoqktndKsgOpTsWGFJjj+TnqPl/Dmg2d0YVQanOGBJL+XHlvb7uKALtVYfO/tG63riLbHsOByec89+1H2W4+0LJ9vm2DGY9iYbHXnbnmqNtZzrqF//AMTSVpGSMf6tMp1wfu49f84oA2KKpGzujCqDU5wwJJfy48n2+7j/APXTvstx56Sfb5tgxmPYmGx15255oAt0VSWzugsgOpTsWGFJjj+TnqPl/Dmg2d0YVQanOHBJL+XHkj0+7igB9v532283riPcvlnAGRtGee/NWqyba0l/tW6kXUZCA0e+IIvOEHUle/XirK2d0BIDqU7FhhSY4/k56j5fw5oAu0VSNndGFUGpzhwSS/lx5I9Pu4//AF077Lceej/2hNsXGY9iYbHXJ255oAt1z/h7/kOeLP8AsKx/+kVrWotpdASZ1KdtwwpMcfyc9R8v86x/C8bxat4qSSZpnGqpl2ABP+h23oAKAG+Miobw9uBP/E6t8YPfDV01c14w37vD+xc/8Tm3zxnAw1dLQAUUUUAFUr8xi40/ehYm5whBxg7H5PrxmrtVLzzfOsvLTcPP+c7c7V2Nz7c459/egC3RRRQAUUUUAUrwxi+04OjFjM2wg4wfLfr68Zq7VW6837XY+Wm5PNbzDtztGxsHPbnA/GrVABRRRQAVSujGNTsQyMXJk2EHAHy85HertVbjzft9nsTMeX3ttzt4457UAWqKKKACiiigClOYxrFmGQmQxS7WzwBlM8flV2qkvm/2na7UzF5cm9tucH5cc9u/5e1W6ACiiigAqlIY/wC27cFW8z7NKQ2eAN0eRj8vyq7VV/N/taDCZh8iTc+3o25MDPbjPHt7UAWqKKKACiiigCkTH/bajY3m/Zid2eMbhxirtVT5v9rL8n7nyD8+3+LcOM/TtVqgCFLy1kuGt0uYWnX70auCw+o60+WaKCJpZpEjjXq7sAB+JrlL0Y8baTqJ+6881iG9V8rdj/vtXFO8Wf8AEz/s7TPvRXV/HEV/vKhLyH6AIV/E+1Ze0dn5HoRwcXOmr6SV35au/wB1jqYZoriJZYZUkjbo6MGB/EVVUx/23INh8z7MhLZ4xubjFXQMDAqovm/2tJlP3PkLh9v8W5sjP0xxWpwO19C3RRRQIKKKKAKURj/tq7ARhILeEs2eCN0mBj8/zq7VWPzf7VudyYh8mLY+3q2XyM98fLx2z71aoAKKKKACqVuYzq16FQhwkW5ieD97HHartVIfN/tK63JiLbHsbbjPXPPftQBbooooAKKKKAKVoYzqN+FQhw6byTkH5BjHpV2qlt5v2693piPcuxtuN3yjPPfmrdABRRRQAVz/AIe/5Dniz/sKx/8ApFa10Fc/4e/5Dniz/sKx/wDpFa0AQ+MRlvD3zBcazbnnvw3FdNXM+Mtu7w9uBP8AxOrfGD3w1dNQAUUUUAFUr5Q09gTIE23GQDn5vkfgfz/CrtUr8xi40/zFYk3PyYOMHY/X2xmgC7RRRQAUUUUAUrxQ17p58xV2zMQpz8/7tuB/P8Ku1SvDGL7Tg6sXMzbCDwD5b9fXjNXaACiiigAqncqDqVi3mKpUv8hzlvl7fSrlUrkx/wBpWIZWLkybCDwPl5zQBdooooAKKKKAKUyg6vaN5gBEUvyc5blOfw/rV2qU5j/tizDKxk8qXaQeAMpnI/KrtABRRRQAVTkUf21bv5igi3lHl85PzR8+nGP1q5VKQx/23bgq3m/ZpcHPG3dHnj16frQBdooooAKKKKAKRUf20r+aufs5Hl85+8OfSrMxmWFjAiPLj5Vkcop+pAOPyNViY/7bUbW837Mec8bdw7etXaBrRnOzaJfXul6dFcSQW93bXguneFi4J+bcVyBgne3bj3p8ml38nibT7zyrQWFjDJHEgmbfl9o3Y2Y4UYxnv1rfoqPZr+vI6frlTy6/+TbhVJVH9tSN5gz9nQeXzkfM3PpV2qSmP+25BtbzfsyZOeMbm7etWcpdooooAKKKKAKUSgazdN5qkmCEeXzlcNJz+Of0q7VKIx/21dgK3m/Z4dxJ4I3SYwPz/SrtABRRRQAVSgUDVbxvMDEpH8gzlfvfzq7VK3Mf9rXoVWEmyLcSeD97GKALtFFFABRRRQBStVA1C/bzA250+UZyvyDrV2qVoY/7RvwqsHDpvJPB+QYx+FXaACiiigArn/D3/Ic8Wf8AYVj/APSK1roK5/w9/wAhzxZ/2FY//SK1oAr+NkkkTQUjZkJ1iAb0AJUYbkZBH6VttYztEiDVLxSucuBFls+vyY49sVjeMRlvD3zBf+Jzb9e/DcV01AFX7JL9p837fc7P+eWI9vTH93Pv1pi2M6xuh1S8YtjDkRZX6fJj881dooApNYztEiDVLxSucuBFls+vyY49sVBd21yt/ZypdTyIZ8NGUjKoNjcg7cjnHOe9alU75d09gfNVMXGcEn5vkfgfz/CgBFsZ1jdDql4xbGHIiyv0+TH55oaxnaJEGqXilc5cCLLZ9fkxx7Yq7RQBV+yS/afN+33Oz/nliPb0x/dz79aYtjOsbqdUvGLYwxEWV+nyY/PNXaKAMi7s7vztPjS+uiBK/mS+XEWA2MQc7MDnjp3q79km+0iX7fc7P+eWI9vT/dz79abdrm908+aq4lY7ST8/7tuB/P8ACrlAFJbGdY3U6peMWxhiIsr9Pkx+eaGsZ2iRBql4pXOXAiy2fX5Mce2Ku0UAVfskv2kS/b7nZ/zyxHtPH+7n361Rmsrtbu3QX93Ir7t0rRxExYHY7MDPTmtiqdyudRsj5qrgv8hJy3y9vpQAjWM7RIg1S8UrnLgRZbPr8mOPan/ZJvtIl+33O0Y/dYj2nj/dz79atUUAUlsZ1jkU6peMWxhiIsrz2+TH55oaxnaJEGqXilc5cCLLZ9fkxx7CrtFAGXLbXI1q1cXM7Q+W+4FEIUjaAM7cjPJ69vap1sZ1jkU6peMWAwxWLK89vkx+eaWZc6taN5qjEUvyEnLcpz+H9auUAUmsZzEiDVLxSpOXAiy2fX5Mcewp/wBkm+0iX7fc7Rj91iPaeP8Adz79atUUAUlsZ1SRTql4xYDDERZXnt8n881Vlsrs6hbRC+ugghlLXAji3Z3Jhc7MAdeMc49q16pyL/xObdvNUAW8g8vJyfmTn8P60AO+yTfaRL9vudox+6xHtPH+7n360xbGdUkU6peMWAwxEWV57fJ+HOau0UAUmsZzEiDVLwFSSXAiy2fX5Mcewp/2Sb7Qsv8AaFztGMxYj2nj/dzz161aooAyBZ3a6kyG+umRoDiYxxbkbcOAdmOnY5q01jOYkQapeAqSS4EWWz6/Jjj2FKV/4nKt5q4+zkeXk5+8OauUAVfsk32hZft9ztGMxYj2njv8ueevWmLYzqkinVLxiwwGKxZTnt8n4c5q7RQBSaxnMSINUvAVJJcCLLZ7H5Mcew71Attc/wBul/tVx5KwIfuR4Y5IKk7c++M961Kpqv8AxOpG81cfZ0Hl5OR8zc0AItjOqSKdTu2LDAYiLKc9vk/DnNBsZzEqDVLwMpJLgRZb2PyY4+lXaKAKv2Sb7Qsv9oXO0YzFiPacDv8ALnn60xbGdVkB1O7YsMAkRZTnqPk/DnNXaKAMdLG7OozxnULtUWKMiYRxbnJL5UnZggccdt3vV77JN9oWX+0LnaMZixHtbA7/AC55+tNiXGs3TeapzBEPLycr80nP45/SrlAFJbGdVkB1O7YuMAkRZTnqPk/DnNBsZzCqDVLwMCSXAiy3sfkxx9O9Tw3lrcSPHBcwyun31RwxX6gdKdPcQW0fmXE0cSZxukYKPzNK6K5ZXtbUh+yTfaFk/tC52rjMeI9rY9flzz9fyqnb2d0L69R7262FI9kpjjBzznB2c46c561qRyJLGskbq6MMqynII9jVWBcapeN5qtlI/kBOV+91+tMnYQ2M5hVP7UvAwJJcCLJ9j8mP07077JN56Sf2hc7VxmPEe1sevy559j+VW6KAKS2M6rIDqd228YBIi+TnqPk/DnNBsZzCqf2peBgSS4EWT7H5Mfp3q7RQBl29rcnVLl2urhIkaPaAkYEvyjJJ25PPoR+FTrYzqJAdTu23jAJEXyc9R8n4c5pbVcahfHzVbLp8oJyvyDrVygCkbGcwqn9qXgYEkuBFk+x+TH6d6d9jm89JP7Qudq4zHiPa2PX5M8+xHtirdFAFNbKdRIDqd228YBIi+TnqPk/DnNY/heNodW8VI80kzDVUzJJjcf8AQ7brgAfpXSVz/h7/AJDniz/sKx/+kVrQBD4y27vD27P/ACGrfGPXDV01cz4x3bvD+1Q3/E5t88ZwMNzXTUAFFFFABVK/8rz9P8wOT9p+TaejbH6+2M1dqpelxPY7Ig4Nx8xK52jY/Pt2GfegC3RRRQAUUUUAUrzyvt2nbw+/zm2YPAPltnP4Zq7VS7Li8sQsQZTK25iudg2NzntzgfjVugAooooAKpXXl/2nY7g/mZk2EHj7vOau1UuC/wDaFmFiDIS+59udvy8c9s0AW6KKKACiiigClP5f9r2e4P5nlS7SDxj5M5/SrtVJi/8AatqBECnlybn25Kn5cDPbPP1xVugAooooAKpSeX/bdvkP5v2aXBz8u3dHn8en61dqo5f+14AIgY/IkzJt5B3JgZ7Z549vagC3RRRQAUUUUAUj5X9trw/m/Zjzn5du4frV2qhL/wBrqPKHl+Qf3m3nO4cZ/pVugAooooAKpL5X9tycP5v2ZMnPy7dzfr1q7VRS/wDbEg8oeX9nXEm3knc3Gf6UAW6KKKACiiigClF5X9tXeA/m/Z4dxJ+XG6TGPfr+lXaqRF/7XuQYgE8iLbJt5Y7pMjPfHHHbPvUl4btbV/sUcL3GPkEzlFz6kgE/pQxxV3Y5i2HlePYbw8DUba4j+vlOgU/ioJ/Gl1sDVvEOgWhG6E3DXQHUFIlzuP1dkx7D3NXZNBuLkaE8kkcL2AZJljYtvQxlCAcDrxzgU+DTdQ/4SxtUnitFthai1iWOZiyDcWJwUA5+UdeMd65+V2t3f+R6/tqakqiesYtfi0rfKz+Ru1St/L/ta92h/M2R7yTx/FjFXaqQF/7TuwYgqBY9r7cbvvZ574roPHLdFFFABRRRQBStPL/tG/2B9+9N+Tx9wYx+FXaqWxf7dehogqhk2ttxu+Ud+9W6ACiiigArn/D3/Ic8Wf8AYVj/APSK1roK5/w9/wAhzxZ/2FY//SK1oAh8YglvD2GC/wDE5t+p68NxXTVy3jdFkTQEZ5E3azbgNGcEHDVuNp7NGifbrwbc/MHGWz68UAXaKq/Yz9p877Xc/wDXPcNvTHTFMXT2WN0+3Xh34+YuMrj04oAu1TvVYz2OJVTFxkgtjeNj8D19fwpG09mjRPt14NufmDjLZ9eKr3tqi39jLJc3RLXGEQMNoby25xj0B/OgDVoqkunssbp9uvDvx8xcZXHpxQ2ns0SJ9uvBtz8wcZbPrxQBdoqr9jP2nzvtdz/1z3Db0x0xTF09ljdPt14d+PmLjK49OKAFu1Y3tgRKqAStlS2C/wC7bgevr+FXKx7yxTz9Oie8vd/muEdXXOdjE549AR+NXvsbfaRN9ruf+ue4bemOmKALVFUl09ljdPt14d+PmLjK49OKG09miRPt14NufmDjLZ9eKALtU7lWOo2REqqAXyhbBb5ew74p32NvtIm+13PH/LPcNvTHTFZ8+not9aI97fNI+/Y29flwOe1AG1RVJtPZokT7deDbn5g4yc+vFP8AsTfaRN9rueMfu9w29MdMUAWqKpLp7LHIn267O/HzFxlee3FDaezRIn268G3PzBxk59eKAFmVjqtowlVQI5coW5b7vOO+P61crKmtUGu2jtc3RkMchRdw2YG0HIx34qwunssbr9uvDvA+YuMrz24oAu0VSbT2aJE+3Xg2k/MHGTn14p/2JvtIm+13PGP3e4bTxjpigC1VN1b+2YG81Qot5B5e7kncnOPb+tIunsqSL9uuzvA5LjK89uKqS2KHU7aE3l6JhBKwkDrkruTIJx64oA2KKq/Yj9pE32u54x+73DaeMdMUxdPZUkX7ddneAMlxlee3FAF2iqTaezRIn268G0k7g4yc+vFP+xN9oWb7Xc8Y+TcNpwMdMUANKt/bKt5q7fs5Hl7uc7hzirlY4sUXVTH9svTM9ufnLr8q7x0461bbT2aJI/t14NpJ3Bxk59eKALtFVfsR+0LN9rueMfJuG04HpimLp7Kki/brs7xjJcZXntxQBdqmqt/bMjeau37Oo8vdyDubnH+elI2nsYkj+3Xg2kncHGTn14qutqn9vs/2m681bdCRuGwrkjHT1BP40AatFUl09lSRft12d4xkuMrz24oOnsYlj+3Xg2kncHGTn14oAu0VV+xN9oWX7Xc/Lj5Nw2nA7jFMXT2VZF+3XZ3jGS4yvPbigBYlYaxdN5qlTBEBHu5X5pOce/8ASrlYsenodVuI1vr4SrBEWbevILSY7fWtD7E32hZftdz8uPk3DacDuMUAWqKpLp7Ksg+3XZ3jGS4yvPbig6exiWP7deDaSdwcZOfXigC7VOBWGqXhMqsCkeEDcr97qO2ad9ib7Qsv2u5+XHybxtOPUY71RtrJBqN/Gt5eGQpHvZnXjqRjj2P50AbFFUjp7GJY/t14NpJ3Bxk57Hin/Ym89Jftlz8uPk3jaceox3oAtUVSXT2VZB9uuzvGMlx8vPbig6exhWP7deDBJ3Bxk57HigBbVWF/fEyqwLJhA2SnyjqO3rVysm2tEOrXbpc3QeNo967htfCDHb061ZXT2USD7ddneMZLj5ee3FAF2iqR09jCsf268GCTuDjJ9jxTvsTeekv2y5+XHybxtOPUY70AW65/w9/yHPFn/YVj/wDSK1rUWwZRIPt12d4xy4+XntxWP4XiMOreKozJJJjVU+eQ5Y/6HbdaAG+MSQ3h/Chv+Jzb5yM44bmumrmfGIJbw/hgv/E5t85OM8NxXTUAFFFFABVO9LCex2xBwbjDErnYNj8+3pn3q5VS9Dmex2yhALjLAtjeNj8e/Y49qALdFFFABRRRQBTuywvLALEHBlbcxXOz923IPb0/GrlVLsObywKyhFErblLY3jy24A7+v4VboAKKKKACqdwWGoWQEQZSXy5XJX5fXtmrlVLgOdQsiJQqgvuQtgt8vp3xQBbooooAKKKKAKcxYaraARBlMcuX25K/d4z2z/SrlVJg/wDatqRKFURyZTdgt93Bx3x/WrdABRRRQAVUct/bEA8oFPs8hMm3kHcnGffnj2q3VRw/9sQESgJ9nkBj3ck7kwce3PPv70AW6KKKACiiigCmS39sKPKGz7OT5m3nO4cZ/pVyqhD/ANsKfNGz7OR5e7nO4c4/rVugAooooAKpqW/tiQeUNn2dT5m3knc3Gf6e9XKqKH/tiQ+aNn2dR5e7kHc3OP6+1AFuiiigAooooApxFv7XugYgFEEREm3ljukyM98cfTPvVyqkQf8Ate5JlBQwRYj3cqd0mTjtnjnvj2q3QAUUUUAFU4Cx1O7BiCqEjw4XBb73fvirlVIA/wDad2TKGUrHtTdkr97PHbNAFuoYLy1uWdbe5hlZPvCNwxX646VNXI6cPL8dfajwNSsZGB7N5coCH/vhhUSlytHRQoqpGbb1Suvz/K51M9zBax+ZcTRwpnG6Rwoz9TT0dZEV0YMjDKspyCPUVyuqAat4r0G3YboUeS92+iRrhWP1dwfoorrKIy5m/IK1FUoQd9Wr+mrX6FO2LG/vgYgqhkw4XBf5R37+lXKqWwcX98WlDKWTagbJT5R27etW6s5wooooAK5/w9/yHPFn/YVj/wDSK1roK5/w9/yHPFn/AGFY/wD0itaAIfGW3d4e3Z/5DVvjHrhq6auZ8YkhvD2FDf8AE5t+o6cNzXTUAFFFFABVK/8AL+0af5m/P2n5NuPvbH6+2M1dqnfMRPY4iV83GCSM7Pkfkenp+NAFyiiigAooooApXnlfbtO379/nNsxjGfLfOfwzV2qd2xF7YARK4MrZYjJT923I9PT8auUAFFFFABVK68v+07Hdv8zMmzGMfd5zV2qdyxGo2QESsCXy5HK/L2PbNAFyiiigAooooApT+X/bFnu3+Z5Uu3GMY+TOf0q7VOZiNWtFESsDHLlyOV+5xn3/AKVcoAKKKKACqUnl/wBt2+d/m/ZpcdNu3dHn8en61dqm7H+2YF8pSDbyHzMcj5k4z7/0oAuUUUUAFFFFAFI+V/ba/f8AN+zH027dw/WrtUyx/tlV8pcfZyfMxz94cZq5QAUUUUAFUl8v+25Pv+b9mTPTbt3N+vWrtU1Y/wBsyL5S4+zqfMxyfmbjNAFyiiigAooooApReV/bV3jf5v2eHdnG3G6TGPfr+lXapxMTrF0vlKAIIiJMct80nGfb+tXKACiiigAqlb+X/a17t3+Zsi35xj+LGKu1TgYnVLwGJVASPDgct97qe+KAH6h9t+xSDT1ga5IIQzOVVTjrwpzzjisqbQpbm40aZmjgFjHJFLGjF9yMoG0MQOPlGTit6ipcU9zanXlTXub66+qt+TMK007UR4qudVu47UQvbJbQiOZmZFBLHIKAHJI79u9btFFEY8oqtV1Gm+iS+4pWnl/2jf7N+/em/OMfcGMfhV2qdqxN/fAxKoDphgMFvkHX1q5VGQUUUUAFc/4e/wCQ54s/7Csf/pFa10Fc/wCHv+Q54s/7Csf/AKRWtAFfxrGZU0FBIyBtYgBKuVOMN0IrbbTI2jRPtF4AmcEXDgnPqc81jeMtu7w9uJ/5DVvjHrhq6agCr9hT7T5/nXOf7vnNt6Y6ZxTF0yNY3T7ReEPjk3DkjHoc8VdooApNpkbRon2i8ATPIuHBOfU55qC7sit9ZzR3Uy5mw6NcMFYbG4C5wTnB/OtSqV+I/tGn+YWB+0/JtHVtj9fbGaABdMjWN0+0XhD4yTcOSMehzxQ2mRtEkf2i8ATOCLhwTn1Oeau0UAVfsKfafP8AOuc/3fObb0x0zimLpkaxun2i8IfGSbhyRj0OeKu0UAZN3p2ZbCJby5RBI2//AElgzgoxx155A/DNXPsKfaRP51zkfw+c23pjpnFMvBH9u07eWD+c2wAcE+W+c/hmrtAFJdMjWN0+0XhD4yTcOSMehzxQ2mRtEkf2i8ATPIuHBOfU55q7RQBV+wp9pE/nXOR/D5zbemOmcVRm0zbd26Le3QjfdvDXTbjgcY5rYqldCP8AtOx3FvMzJsAHB+XnNAA2mRtEkf2i8ATPIuHBOfU55p/2BPtIn865yMfL57bemOmcVaooApLpkaxyJ9ouyHxkm4ckYPY54obTI2iSP7ReAJnkXDgnPqc81dooAzJbMjWrWVbqYJ5blojcNhiNoHy5575+tTLpkaxun2i8IcAEm4ckc54OeKJxH/bFnuLeZ5Uu0AcYymc/pV2gCk2mRtEkf2i8AUk5Fw4Jz6nPNP8AsCfaRP51zkY+Xz229MdM4q1RQBSXTY1SRPtF2Q4AJNw5I5zwc8VWk07N/bw/bLkRCGQlftTB2O5MHrkgc/TPvWtVKQR/23bklvN+zS4GONu6PP49P1oAf9hT7SJvOucjHy+c23gY6ZxTF0yNUkX7RdneACTcOSOc8HPFXaKAKTaZG0SR/aLwBSTkXD5OfU55p/2BPtCzedc5GPl89tvAx0zirVFAGQNO26i0YvLkxPAcqbpiwO4cjnI9M1abTI2iSP7ReAKSci4fJz6nPNBEf9tqct5v2Y8Y427h+tXaAKv2BPtCzedc5GPl85tpwMdM4pi6bGqSL9ouzvGCTcOSOc8c8VdooApNpkbRJH9ovAFJORcPk59TnmoFsj/bZk+1T7FhQiL7Q3XJGSuemAPxzWpVJRH/AG3Ict5v2ZMjHG3c369aABdNjVJF+0XZ3jBJuHJHOeOeKDpkbRLH9ovAFJORcPk59TnmrtFAFX7An2hZvPucrj5fPbacDuM4pi6bGqyL9ouzvGCTcOSOc8c8VdooAx00zOozob27MSwxlVF2+4El8k89Dx+R9KvfYE+0LN59zlcfL57bTgdxnBpkQj/tq7ILeb9nh3AjjG6TGPfr+lXaAKS6bGqyL9ouzvGCTcOSOc8c8UHTIzEsf2i8AUk5Fw+Tn1Oeau0UAVfsCfaFm8+5yuPl89tpx6jODVO30/F9eobu5aNkQKv2liydSe/HQfrWtVK3Ef8Aa17tLeZsi3gjgfexigAOmRmJY/tF5hSTkXD5OfU5p32BPPSbz7nK4+Xz22nHqM4NW6KAKS6bGqyD7RdneMHNw5xznjnig6ZGYVj+0XmFJO4XD5OfU5q7RQBl29iTqdzI11OVRk2Ri4YgYUfeXPfrz1qddNjUSD7RdneMHNw5xznjnii0Ef8AaN/sLF96bwRwPkGMfhV2gCkdMjMKx/aLzCkncLh8nPqc077AnnpL59zlcfL57bTj1GcGks9Vsr+5uLa3m3T2+3zo2RlZM5xkEDrg0t9qdnpvk/a5hGZn8uJQpZnb0AAJNLmVr3NPZVObk5XftbXuIumxqJB9ouzvGDm4c45zxzxWP4XhEGreKog8jhdVT5pHLMf9DtupNdGrB0DDOCMjIwfyNYHh7/kOeLP+wrH/AOkVrTMyHxicN4e+UNnWbfr24bmumrmvGG7d4f2tj/ic2+ecZGG4rpaACiiigAqnfNtnsB5SvuuMZIPy/I/I/l+NXKqXnmedZeXIEHn/ADjdjcuxuPfnBx7e1AFuiiigAooooAp3bbb3Tx5StumYbiDlP3bcj+X41cqpdeb9rsdkgVPNbeu7G4bGwMd+cH8M1boAKKKKACqdy2NRsl8pWyX+cg5X5e31q5VS4837fZ7ZAseX3ruxu+XjjvQBbooooAKKKKAKczY1a0XylOYpTvIOV5Tj8f6VcqpN5n9qWu2QCPy5Nybsbj8uDjvjn6Z96t0AFFFFABVORv8Aic26+UpzbynzMHI+ZOPx/pVyqj+b/a0GJAIvIk3Ju6tuTBx3xzz2z70AW6KKKACiiigCmW/4nSr5S/8AHuT5mDn7w4q5VQ+b/a6nzB5XkH5N38W4c4/rVugAooooAKpq3/E6kXyl/wCPdD5mDk/M3FXKqL5n9ryfvB5XkLhN3Rtzc4/LmgC3RRRQAUUUUAU4mzrN0vlKMQQnzMHLZaTj8MfrVyqkfm/2tc5kBi8mLam7ocvk47Z45749qt0AFFFFABVOBs6reL5arhI/nAOW+91+lXKqQ+Z/aV3ukBj2x7E3Z29c8ds0AW6KKKACiiigCnatnUL8eWq4dPmAOW+QdauVUtvM+3Xu+QMm5Ni7s7flGeO3NJqltdXmny29pcpbSSKUMrxGTaCCOAGHPv8ApSexUEnJJuyOc01ltvF63MhCJf6W1wxP+zMWGfosoH4VLOjX/jnS0kBBtreW8ZD/AAg/u4x9eXP1+grVm0VbrUNNvZ5R5lkjptiTaj7tvbJIAKg4zTLDR7u21291O4vYZzdRxx7FtymxUzgAlz3Yk8VjyS26X/r8T03iaTvUv73K1181bb+XX7jYrn/D3/Ic8Wf9hWP/ANIrWugrn/D3/Ic8Wf8AYVj/APSK1rc8oh8ZBS3h7cSP+J1b4wO+Grpq4r4jwLdW/hu2kaVY5ddtkcxStG2CH6MpBH1BrT/4QnSMAedrPH/UbvP/AI7QB0VFc9/whWkZz52s5/7Dd5/8dpP+EJ0jBHnazz/1G7z/AOO0AdFVK/EZuNP8xmBFz8mBnJ2PwfQYzWV/whOkYA87WeP+o3ef/HaRvA+iuys0mrsyncpOtXhwcYyP3voTQB0dFc7/AMITpGCPO1nn/qN3n/x2j/hCdIxjztZ4/wCo3ef/AB2gDoqK57/hCtIznztZz/2G7z/47Sf8ITpGCPO1nn/qN3n/AMdoA1bwRm+04uzBxM2wAZBPlv19OM1drnG8DaK5Qs+rkocqTrV58p6cfvad/wAIVpGc+drOf+w3ef8Ax2gDoaK53/hCdIwR52s8/wDUbvP/AI7R/wAITpGMedrP/g7vP/jtAHRVSuRGdSsSzMHBk2ADg/Lzmsv/AIQrSM587Wc/9hu8/wDjtMPgbRWZWL6uWXoTrV5kfT97QB0lFc7/AMITpGMedrP/AIO7z/47S/8ACFaRnPnazn/sN3n/AMdoA6Giud/4QrSOf32s8/8AUbvP/jtH/CE6RjHnazj/ALDd5/8AHaANWcR/2xZlmYSCKXaAOCMpnJ/Krtc4fA+imRZDJq5dQQrHWrzIB6/8tfYUv/CFaRz++1nn/qN3n/x2gDoqK53/AIQnSMY87Wcf9hu8/wDjtL/whWkZz52s5/7Dd5/8doA6GqUgj/tu3JZvN+zS4XHBG6PJz69Kyv8AhCdI5/fazz/1G7z/AOO0h8DaKXDl9X3qCA39tXmQDjIz5vsPyoA6Oiue/wCEK0jOfO1nP/YbvP8A47Sf8ITpHP77Wef+o3ef/HaAOiornf8AhCdIxjztZ/8AB3ef/HaX/hCtIznztZz/ANhu8/8AjtAGoRH/AG2p3N5v2Y/LjjG4c59au1zn/CDaLv379X3427v7avM49M+bS/8ACE6RjHnazj/sN3n/AMdoA6Kiue/4QrSM587Wc/8AYbvP/jtJ/wAIVpHP77Wef+o3ef8Ax2gDoqpKI/7bkO5vN+zJlccY3Nzn1rK/4QnSMY87Wcf9hu8/+O0n/CD6L5vm+Zq/mY27v7avM49P9bQB0dFc7/whWkc/vtZ5/wCo3ef/AB2j/hCdIxjztZx/2G7z/wCO0AdFRXPf8IVpGc+drOf+w3ef/HaT/hCdI5/fazz/ANRu8/8AjtAGrEI/7auyGYym3h3LjgDdJjB/P8hV2ubHgbRQ5cPq4cgAt/bV5kgZwM+b7n86f/whWkZz52s5/wCw3ef/AB2gDoaK53/hCtI5/fazz/1G7z/47R/whOkYx52s4/7Dd5/8doA6KqVuI/7WvSrMZCkW4EcD72MGsv8A4QrSM587Wc/9hu8/+O00eBtFV2cPq4Z8BmGtXmTjpn97QB0dFc7/AMITpGMedrOP+w3ef/HaX/hCtIznztZz/wBhu8/+O0AdDRXO/wDCFaRz++1nn/qN3n/x2j/hCdIxjztZx/2G7z/47QBq2gjGo35VmLl03gjAHyDGPWrtc4PA+iq7Osmrh2xuI1q8yccc/vaX/hCtI5/fazz/ANRu8/8AjtAHRUVzv/CE6RjHnazj/sN3n/x2l/4QrSM587Wc/wDYbvP/AI7QB0Nc/wCHv+Q54s/7Csf/AKRWtN/4QrSOf32s8/8AUbvP/jtQ+D7GHTr/AMUWluZjFHqqbTNO8z82dseXclj17n2oAr+PvveFv+xgtf5PXYVx/j773hb/ALGC1/k9dhQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUtR1ex0oRfbJ9jzNtijRGeSQ+iooLN+Aq7XBeF5X1H4qeM57zmbT1tbS1Vv+WULIXOP95uT9B6UAdVD4h0ua8gsxcmO7nYrHbzRPFI2FLE7GAOMKecY4xnNadc1ql3oEvirRlurtYtWtZZPssRjO+QNGVdRxyOQSR/dFLZ65f60mq3GlJbCGxuZLWNJlYm4kj4f5gQEG7Kg4bpn2oA6SqOraxY6FYm91GZobYMFaQRs4UnpnaDge54rCh8XHU7DRdQsvs9rp2pWzTG7u2UiN/l2xbd6ksctyM/d981j+Idc/4SL4O6nqDRCKQh4ZEVsrvjm8tiD6ErkexoA9DoorkoNa8Q3XiLWdKtodOkGnS27B5A6b4pOSOp+YKG56Egcc8AHW0Vzdnrl/rSarcaUlsIbG5ktY0mVibiSPh/mBAQbsqDhumfasuw8aXeq6jpLWxs4NL1fTpLu1mmjYusiBd0T4YDjcWz3Ckds0AdxRXG6H4k1nXNI0i5ijsY7q5uZYryF45B5Cxlg2BnOQVA5xnevTv2VABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVz/h7/kOeLP+wrH/AOkVrXQVz/h7/kOeLP8AsKx/+kVrQBn+PvveFv8AsYLX+T12Fcf4++94W/7GC1/k9dhQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYN94ef+3RrulXKWuotEILgSR74rmMHIDgEEMMnDA8ZIII4reooA5yXw5cah4n0nXr+8RZtMWVYbeBPkxKm18sTknhSOmMYwc5pYfDl1p39pxaTqEdtb6hO9ywkgLtDI/32Q7gOT82CDgknkcV0VFAHK2ngyPSNS0u60m4SOLT9POnxwXEZkAUsG3qQRhjjn19qpS+Arw+F9S0KHW1EF5M7q8tqXMYeVpW4DgFiz4zxwBx3rt6KAGQiVYUE7o8oHzMiFVJ9gScfmaxNM0K+sPE2q6tJqFvLFqHl5gW1KMgjUquH8w54PPH5VvUUAc7D4cutO/tOLSdQjtrfUJ3uWEkBdoZH++yHcByfmwQcEk8jiobzwPp82haNpNrJJbQaTLG0LDlmQKUdCf9tGYE++a6iigDG03w9Hpuv6pqaTsy3zK6wEYWFtqiQqf9vYhPuvua2aKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArn/D3/Ic8Wf8AYVj/APSK1roK5/w9/wAhzxZ/2FY//SK1oA//2Q==) +![md5:69c3e768ef9150ab18e8736660ec2886](69c3e768ef9150ab18e8736660ec2886.jpeg) We may assume without loss of generality that Turbo first encounters a monster \(M_{1}\) when Turbo first leaves the happy triangle, and that this forces an NW- SE configuration. -![](data:image/jpeg;base64,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) +![md5:72242c13f50c54757f8625f0ae0e4b0a](72242c13f50c54757f8625f0ae0e4b0a.jpeg) Then the following is true: diff --git a/IMO/md/en-IMO-2025-notes.md b/IMO/md/en-IMO-2025-notes.md index 6285da04f40f2f8ccddae8991399143a73f737ad..ec650d450a41aec4c9c282f937dd43b48b533a1d 100644 --- a/IMO/md/en-IMO-2025-notes.md +++ b/IMO/md/en-IMO-2025-notes.md @@ -105,11 +105,11 @@ Hence, by induction we may repeatedly delete a long line without changing the nu We now classify all the ways to cover the \(1 + 2 + 3 = 6\) points in an \(n = 3\) grid with 3 lines. -![](data:image/jpeg;base64,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) +![md5:95882ce6662c1258b42bfe186a824f55](95882ce6662c1258b42bfe186a824f55.jpeg)
Long line present
-![](data:image/jpeg;base64,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) +![md5:9cb6d152e8240eedcb5065bcf40072d9](9cb6d152e8240eedcb5065bcf40072d9.jpeg)
No long line
@@ -150,7 +150,7 @@ Proof. \(\angle AEC = \angle ABC = \angle CAB = 90^{\circ} - \alpha\) . Hence, if we let \(A' := \overline{CE} \cap \overline{DF}\) , we have a parallelogram \(ACA'D\) . Note in particular that \(\overline{BA'} \parallel \overline{CD}\) . -![](data:image/jpeg;base64,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) +![md5:4ce6565dd7a68ad0a5eb9af412eb954f](4ce6565dd7a68ad0a5eb9af412eb954f.jpeg) Next, let \(T\) denote the circumcenter of \(\triangle A^{\prime}EF\) . (This will be the tangency point later in the problem.) @@ -435,7 +435,7 @@ Construction. We show a general construction when \(n = k^{2}\) illustrated belo tiles as promised. -![](data:image/jpeg;base64,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) +![md5:87dc466394ef415d70b0e81ac114205b](87dc466394ef415d70b0e81ac114205b.jpeg) @@ -457,7 +457,7 @@ To apply this to the present problem, take the \(n\) uncovered squares which we The figure below shows two examples of the process, each for a board with \(n = 9\) , for two choices of LIS and LDS. The cells in the LIS and LDS have been marked with green circles, and the boundaries of the quadrants are drawn in green lines. In the left example, the LIS and LDS have a black square in common (that cell has all four directions labeled). In the right example, the LIS and do not have common squares. -![](data:image/jpeg;base64,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) +![md5:5e539f41c70e646ab2141b6484a0fea7](5e539f41c70e646ab2141b6484a0fea7.jpeg) We observe that: diff --git a/IMO/segmented/en-IMO-2005-notes.jsonl b/IMO/segmented/en-IMO-2005-notes.jsonl index cbba0fe2c3680669b46ec9c57d8e4199092eb174..93ab4a683762411aa30d5da992023fb3a8a3d673 100644 --- a/IMO/segmented/en-IMO-2005-notes.jsonl +++ b/IMO/segmented/en-IMO-2005-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2005", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Six points are chosen on the sides of an equilateral triangle \\(A B C\\) .. \\(A_{1}\\) \\(A_{2}\\) on \\(B C\\) \\(B_{1}\\) \\(B_{2}\\) on \\(C A\\) and \\(C_{1}\\) \\(C_{2}\\) on \\(A B\\) , such that they are the vertices of a convex hexagon \\(A_{1}A_{2}B_{1}B_{2}C_{1}C_{2}\\) with equal side lengths. Prove that the lines \\(A_{1}B_{2}\\) \\(B_{1}C_{2}\\) and \\(C_{1}A_{2}\\) are concurrent.", "solution": "The six sides of the hexagon, when oriented, comprise six vectors with vanishing sum. However note that \n\n\\[\\overrightarrow{A_1A_2} +\\overrightarrow{B_1B_2} +\\overrightarrow{C_1C_2} = 0.\\] \n\nThus \n\n\\[\\overrightarrow{A_2B_1} +\\overrightarrow{B_2C_1} +\\overrightarrow{C_2A_1} = 0\\] \n\nand since three unit vectors with vanishing sum must be rotations of each other by \\(120^{\\circ}\\) , it follows they must also form an equilateral triangle. \n\n![](data:image/jpeg;base64,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)\n \n\nConsequently, triangles \\(A_1A_2B_1\\) , \\(B_1B_2C_1\\) , \\(C_1C_2A_1\\) are congruent, as \\(\\angle A_2 = \\angle B_2 = \\angle C_2\\) . So triangle \\(A_1B_1C_1\\) is equilateral and the diagonals are concurrent at the center.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2005/1, proposed by Bogdan Enescu (ROU) \n"}} -{"year": "2005", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , ... be a sequence of integers with infinitely many positive and negative terms. Suppose that for every positive integer \\(n\\) the numbers \\(a_{1}\\) , \\(a_{2}\\) , ..., \\(a_{n}\\) leave \\(n\\) different remainders upon division by \\(n\\) . Prove that every integer occurs exactly once in the sequence.", "solution": "Obviously every integer appears at most once (otherwise take \\(n\\) much larger). So we will prove every integer appears at least once. \n\nClaim — For any \\(i < j\\) we have \\(|a_{i} - a_{j}| < j\\) . \n\nProof. Otherwise, let \\(n = |a_{i} - a_{j}| \\neq 0\\) . Then \\(i, j \\in [1, n]\\) and \\(a_{i} \\equiv a_{j} \\pmod{n}\\) , contradiction. \n\nClaim — For any \\(n\\) , the set \\(\\{a_{1}, \\ldots , a_{n}\\}\\) is of the form \\(\\{k + 1, \\ldots , k + n\\}\\) for some integer \\(k\\) . \n\nProof. By induction, with the base case \\(n = 1\\) being vacuous. For the inductive step, suppose \\(\\{a_{1}, \\ldots , a_{n}\\} = \\{k + 1, \\ldots , k + n\\}\\) are determined. Then \n\n\\[a_{n + 1} \\equiv k \\pmod{n + 1}.\\] \n\nMoreover by the earlier claim we have \n\n\\[|a_{n + 1} - a_{1}| < n + 1.\\] \n\nFrom this we deduce \\(a_{n + 1} \\in \\{k, k + n + 1\\}\\) as desired. \n\nThis gives us actually a complete description of all possible sequences satisfying the hypothesis: choose any value of \\(a_{1}\\) to start. Then, for the \\(n\\) th term, the set \\(S = \\{a_{1}, \\ldots , a_{n - 1}\\}\\) is (in some order) a set of \\(n - 1\\) consecutive integers. We then let \\(a_{n} = \\max S + 1\\) or \\(a_{n} = \\min S - 1\\) . A picture of six possible starting terms is shown below. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nFinally, we observe that the condition that the sequence has infinitely many positive and negative terms (which we have not used until now) implies it is unbounded above and below. Thus it must contain every integer.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2005/2, proposed by Nicholas de Bruijn (NLD) \n"}} +{"year": "2005", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Six points are chosen on the sides of an equilateral triangle \\(A B C\\) .. \\(A_{1}\\) \\(A_{2}\\) on \\(B C\\) \\(B_{1}\\) \\(B_{2}\\) on \\(C A\\) and \\(C_{1}\\) \\(C_{2}\\) on \\(A B\\) , such that they are the vertices of a convex hexagon \\(A_{1}A_{2}B_{1}B_{2}C_{1}C_{2}\\) with equal side lengths. Prove that the lines \\(A_{1}B_{2}\\) \\(B_{1}C_{2}\\) and \\(C_{1}A_{2}\\) are concurrent.", "solution": "The six sides of the hexagon, when oriented, comprise six vectors with vanishing sum. However note that \n\n\\[\\overrightarrow{A_1A_2} +\\overrightarrow{B_1B_2} +\\overrightarrow{C_1C_2} = 0.\\] \n\nThus \n\n\\[\\overrightarrow{A_2B_1} +\\overrightarrow{B_2C_1} +\\overrightarrow{C_2A_1} = 0\\] \n\nand since three unit vectors with vanishing sum must be rotations of each other by \\(120^{\\circ}\\) , it follows they must also form an equilateral triangle. \n\n![md5:fdfec835ef183dc40e6a5a42f3bdd242](fdfec835ef183dc40e6a5a42f3bdd242.jpeg)\n \n\nConsequently, triangles \\(A_1A_2B_1\\) , \\(B_1B_2C_1\\) , \\(C_1C_2A_1\\) are congruent, as \\(\\angle A_2 = \\angle B_2 = \\angle C_2\\) . So triangle \\(A_1B_1C_1\\) is equilateral and the diagonals are concurrent at the center.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2005/1, proposed by Bogdan Enescu (ROU) \n"}} +{"year": "2005", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , ... be a sequence of integers with infinitely many positive and negative terms. Suppose that for every positive integer \\(n\\) the numbers \\(a_{1}\\) , \\(a_{2}\\) , ..., \\(a_{n}\\) leave \\(n\\) different remainders upon division by \\(n\\) . Prove that every integer occurs exactly once in the sequence.", "solution": "Obviously every integer appears at most once (otherwise take \\(n\\) much larger). So we will prove every integer appears at least once. \n\nClaim — For any \\(i < j\\) we have \\(|a_{i} - a_{j}| < j\\) . \n\nProof. Otherwise, let \\(n = |a_{i} - a_{j}| \\neq 0\\) . Then \\(i, j \\in [1, n]\\) and \\(a_{i} \\equiv a_{j} \\pmod{n}\\) , contradiction. \n\nClaim — For any \\(n\\) , the set \\(\\{a_{1}, \\ldots , a_{n}\\}\\) is of the form \\(\\{k + 1, \\ldots , k + n\\}\\) for some integer \\(k\\) . \n\nProof. By induction, with the base case \\(n = 1\\) being vacuous. For the inductive step, suppose \\(\\{a_{1}, \\ldots , a_{n}\\} = \\{k + 1, \\ldots , k + n\\}\\) are determined. Then \n\n\\[a_{n + 1} \\equiv k \\pmod{n + 1}.\\] \n\nMoreover by the earlier claim we have \n\n\\[|a_{n + 1} - a_{1}| < n + 1.\\] \n\nFrom this we deduce \\(a_{n + 1} \\in \\{k, k + n + 1\\}\\) as desired. \n\nThis gives us actually a complete description of all possible sequences satisfying the hypothesis: choose any value of \\(a_{1}\\) to start. Then, for the \\(n\\) th term, the set \\(S = \\{a_{1}, \\ldots , a_{n - 1}\\}\\) is (in some order) a set of \\(n - 1\\) consecutive integers. We then let \\(a_{n} = \\max S + 1\\) or \\(a_{n} = \\min S - 1\\) . A picture of six possible starting terms is shown below. \n\n![md5:475654980bc07245b09a270d10acd8f9](475654980bc07245b09a270d10acd8f9.jpeg)\n\n\n\n\nFinally, we observe that the condition that the sequence has infinitely many positive and negative terms (which we have not used until now) implies it is unbounded above and below. Thus it must contain every integer.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2005/2, proposed by Nicholas de Bruijn (NLD) \n"}} {"year": "2005", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(x,y,z > 0\\) satisfy \\(x y z\\geq 1\\) . Prove that \n\n\\[\\frac{x^{5} - x^{2}}{x^{5} + y^{2} + z^{2}} +\\frac{y^{5} - y^{2}}{x^{2} + y^{5} + z^{2}} +\\frac{z^{5} - z^{2}}{x^{2} + y^{2} + z^{5}}\\geq 0.\\]", "solution": "Negating both sides and adding 3 eliminates the minus signs: \n\n\\[\\sum_{\\mathrm{cyc}}\\frac{1}{x^{5} + y^{2} + z^{2}}\\leq \\frac{3}{x^{2} + y^{2} + z^{2}}.\\] \n\nThus we only need to consider the case \\(x y z = 1\\) \n\nDirect expansion and Muirhead works now! As advertised, once we show it suffices to analyze if \\(x y z = 1\\) the inequality becomes more economically written as \n\n\\[S = \\sum_{\\mathrm{cyc}}x^{2}(x^{2} - y z)(y^{4} + x^{3}z + x z^{3})(z^{4} + x^{3}y + x y^{3})\\stackrel {?}{\\geq}0.\\] \n\nSo, clearing all the denominators gives \n\n\\[S = \\sum_{\\mathrm{cyc}}x^{2}(x^{2} - y z)\\left[y^{4}z^{4} + x^{3}y^{5} + x y^{7} + x^{3}z^{5} + x^{6}y z + x^{4}y^{3}z + x z^{7} + x^{4}y z^{3} + x^{2}y^{3}z^{3}\\right]\\] \\[\\quad = \\sum_{\\mathrm{cyc}}\\left[x^{4}y^{4}z^{4} + x^{7}y^{5} + x^{5}y^{7} + x^{7}z^{5} + x^{10}y z + x^{8}y^{3}z + x^{5}z^{7} + x^{8}y z^{3} + x^{6}y^{3}z^{3}\\right]\\] \\[\\quad -\\sum_{\\mathrm{cyc}}\\left[x^{2}y^{5}z^{5} + x^{5}y^{6}z + x^{3}y^{8}z + x^{5}y z^{6} + x^{8}y^{2}z^{2} + x^{6}y^{4}z^{2} + x^{3}y z^{8} + x^{6}y^{2}z^{4} + x^{4}y^{4}z^{4}\\right]\\] \\[\\quad = \\sum_{\\mathrm{cyc}}\\left[x^{7}y^{5} + x^{5}y^{7} + x^{7}z^{5} + x^{10}y z + x^{5}z^{7} + x^{6}y^{3}z^{3}\\right]\\] \\[\\quad -\\sum_{\\mathrm{cyc}}\\left[x^{2}y^{5}z^{5} + x^{5}y^{6}z + x^{5}y z^{6} + x^{8}y^{2}z^{2} + x^{6}y^{4}z^{2} + x^{6}y^{2}z^{4}\\right]\\] \n\nIn other words we need to show \n\n\\[\\sum_{\\mathrm{sym}}\\left(2x^{7}y^{5} + \\frac{1}{2} x^{10}y z + \\frac{1}{2} x^{6}y^{3}z^{3}\\right)\\geq \\sum_{\\mathrm{sym}}\\left(\\frac{1}{2} x^{8}y^{2}z^{2} + \\frac{1}{2} x^{5}y^{5}z^{2} + x^{6}y^{4}z^{2} + x^{6}y^{5}z\\right).\\] \n\nwhich follows by summing \n\n\\[\\sum_{\\mathrm{sym}}\\frac{x^{10}y z + x^{6}y^{3}z^{3}}{2}\\geq \\sum_{\\mathrm{sym}}x^{8}y^{2}z^{2}\\] \\[\\frac{1}{2}\\sum_{\\mathrm{sym}}x^{8}y^{2}z^{2}\\geq \\frac{1}{2}\\sum_{\\mathrm{sym}}x^{6}y^{4}z^{2}\\] \\[\\frac{1}{2}\\sum_{\\mathrm{sym}}x^{7}y^{5}\\geq \\frac{1}{2}\\sum_{\\mathrm{sym}}x^{5}y^{5}z^{2}\\]\n\n\n\n\\[{\\frac{1}{2}}\\sum_{\\mathrm{sym}}x^{7}y^{5}\\geq{\\frac{1}{2}}\\sum_{\\mathrm{sym}}x^{6}y^{4}z^{2}\\] \\[\\sum_{\\mathrm{sym}}x^{7}y^{5}\\geq\\sum_{\\mathrm{sym}}x^{6}y^{5}z.\\] \n\nThe first line here comes from AM- GM, the rest come from Muirhead. \n\nRemark. More elegant approach is to use Cauchy in the form \n\n\\[\\frac{1}{x^{5} + y^{2} + z^{2}} \\leq \\frac{x^{-1} + y^{2} + z^{2}}{(x^{2} + y^{2} + z^{2})^{2}}.\\]\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2005/3, proposed by Hojoo Lee (KOR) \n"}} {"year": "2005", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Determine all positive integers relatively prime to all the terms of the infinite sequence \n\n\\[a_{n} = 2^{n} + 3^{n} + 6^{n} - 1,\\quad n\\geq 1.\\]", "solution": "The answer is 1 only (which works). \n\nIt suffices to show there are no primes. For the primes \\(p = 2\\) and \\(p = 3\\) , take \\(a_{2} = 48\\) . For any prime \\(p \\geq 5\\) notice that \n\n\\[a_{p - 2} = 2^{p - 2} + 3^{p - 2} + 6^{p - 2} - 1\\] \\[\\equiv \\frac{1}{2} +\\frac{1}{3} +\\frac{1}{6} -1\\pmod {p\\] \\[\\equiv 0\\pmod {p\\] \n\nso no other larger prime works.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2005/4, proposed by Mariusz Skalba (POL) \n"}} -{"year": "2005", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C D\\) be a fixed convex quadrilateral with \\(B C = D A\\) and \\(\\overline{{B C}}\\not\\parallel\\overline{{D A}}\\) . Let two variable points \\(E\\) and \\(F\\) lie on the sides \\(B C\\) and \\(D A\\) , respectively, and satisfy \\(B E = D F\\) . The lines \\(A C\\) and \\(B D\\) meet at \\(P\\) , the lines \\(B D\\) and \\(E F\\) meet at \\(Q\\) , the lines \\(E F\\) and \\(A C\\) meet at \\(R\\) . Prove that the circumcircles of the triangles \\(P Q R\\) , as \\(E\\) and \\(F\\) vary, have a common point other than \\(P\\) .", "solution": "Let \\(M\\) be the Miquel point of complete quadrilateral \\(A D B C\\) ; in other words, let \\(M\\) be the second intersection point of the circumcircles of \\(\\triangle A P D\\) and \\(\\triangle B P C\\) . (A good diagram should betray this secret; all the points are given in the picture.) This makes lots of sense since we know \\(E\\) and \\(F\\) will be sent to each other under the spiral similarity too. \n\n![](data:image/jpeg;base64,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)\n \n\nThus \\(M\\) is the Miquel point of complete quadrilateral \\(F A C E\\) . As \\(R = \\overline{{F E}}\\cap \\overline{{A C}}\\) we deduce \\(F A R M\\) is a cyclic quadrilateral (among many others, but we'll only need one). \n\nNow look at complete quadrilateral \\(A F Q P\\) . Since \\(M\\) lies on \\((D F Q)\\) and \\((R A F)\\) , it follows that \\(M\\) is in fact the Miquel point of \\(A F Q P\\) as well. So \\(M\\) lies on \\((P Q R)\\) . \n\nThus \\(M\\) is the fixed point that we wanted. \n\nRemark. Naturally, the congruent length condition can be relaxed to \\(D F / D A = B E / B C\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2005/5, proposed by Waldemar Pompe (POL) \n"}} +{"year": "2005", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C D\\) be a fixed convex quadrilateral with \\(B C = D A\\) and \\(\\overline{{B C}}\\not\\parallel\\overline{{D A}}\\) . Let two variable points \\(E\\) and \\(F\\) lie on the sides \\(B C\\) and \\(D A\\) , respectively, and satisfy \\(B E = D F\\) . The lines \\(A C\\) and \\(B D\\) meet at \\(P\\) , the lines \\(B D\\) and \\(E F\\) meet at \\(Q\\) , the lines \\(E F\\) and \\(A C\\) meet at \\(R\\) . Prove that the circumcircles of the triangles \\(P Q R\\) , as \\(E\\) and \\(F\\) vary, have a common point other than \\(P\\) .", "solution": "Let \\(M\\) be the Miquel point of complete quadrilateral \\(A D B C\\) ; in other words, let \\(M\\) be the second intersection point of the circumcircles of \\(\\triangle A P D\\) and \\(\\triangle B P C\\) . (A good diagram should betray this secret; all the points are given in the picture.) This makes lots of sense since we know \\(E\\) and \\(F\\) will be sent to each other under the spiral similarity too. \n\n![md5:affdc2843242a1138fa169a7db32c940](affdc2843242a1138fa169a7db32c940.jpeg)\n \n\nThus \\(M\\) is the Miquel point of complete quadrilateral \\(F A C E\\) . As \\(R = \\overline{{F E}}\\cap \\overline{{A C}}\\) we deduce \\(F A R M\\) is a cyclic quadrilateral (among many others, but we'll only need one). \n\nNow look at complete quadrilateral \\(A F Q P\\) . Since \\(M\\) lies on \\((D F Q)\\) and \\((R A F)\\) , it follows that \\(M\\) is in fact the Miquel point of \\(A F Q P\\) as well. So \\(M\\) lies on \\((P Q R)\\) . \n\nThus \\(M\\) is the fixed point that we wanted. \n\nRemark. Naturally, the congruent length condition can be relaxed to \\(D F / D A = B E / B C\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2005/5, proposed by Waldemar Pompe (POL) \n"}} {"year": "2005", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "In a mathematical competition 6 problems were posed to the contestants. Each pair of problems was solved by more than \\(\\frac{2}{5}\\) of the contestants. Nobody solved all 6 problems. Show that there were at least 2 contestants who each solved exactly 5 problems.", "solution": "Assume not and at most one contestant solved five problems. By adding in solves, we can assume WLOG that one contestant solved problems one through five, and every other contestant solved four of the six problems. \n\nWe split the remaining contestants based on whether they solved P6. Let \\(a_{i}\\) denote the number of contestants who solved \\(\\{1,2,\\ldots ,5\\} \\setminus \\{i\\}\\) (and missed P6). Let \\(b_{ij}\\) denote the number of contestants who solved \\(\\{1,2,\\ldots ,5,6\\} \\setminus \\{i,j\\}\\) , for \\(1\\leq i< j\\leq 5\\) (thus in particular they solved P6). Thus \n\n\\[n = 1 + \\sum_{1\\leq i\\leq 5}a_{i} + \\sum_{1\\leq i< j\\leq 5}b_{ij}\\] \n\ndenotes the total number of contestants. \n\nConsidering contestants who solved P1/P6 we have \n\n\\[t_{1}:= b_{23} + b_{24} + b_{25} + b_{34} + b_{35} + b_{45}\\geq \\frac{2}{5} n + \\frac{1}{5}\\] \n\nand we similarly define \\(t_{2}\\) , \\(t_{3}\\) , \\(t_{4}\\) , \\(t_{5}\\) . (We have written \\(\\frac{2}{5} n + \\frac{1}{5}\\) since we know the left- hand side is an integer strictly larger than \\(\\frac{2}{5} n\\) .) Also, by considering contestants who solved P1/P2 we have \n\n\\[t_{12} = 1 + a_{3} + a_{4} + a_{5} + b_{34} + b_{35} + b_{45}\\geq \\frac{2}{5} n + \\frac{1}{5}\\] \n\nand we similarly define \\(t_{ij}\\) for \\(1\\leq i< j\\leq 5\\) \n\nClaim — The number \\(\\frac{2n + 1}{5}\\) is equal to some integer \\(k\\) , fourteen of the \\(t\\) 's are equal to \\(k\\) , and the last one is equal to \\(k + 1\\) . \n\nProof. First, summing all fifteen equations gives \n\n\\[6n + 4 = 10 + 6(n - 1) = 10 + \\sum_{1\\leq i\\leq 5}6a_{i} + \\sum_{1\\leq i< j\\leq 5}6b_{ij}\\] \\[\\qquad = \\sum_{1\\leq i\\leq 5}t_{i} + \\sum_{1\\leq i< j\\leq 5}t_{ij}.\\] \n\nThus the sum of the 15 \\(t\\) 's is \\(6n + 4\\) . But since all the \\(t\\) 's are integers at least \\(\\frac{2n + 1}{5} = \\frac{6n + 3}{15}\\) , the conclusion follows. \\(\\square\\) \n\nHowever, we will also manipulate the equations to get the following.\n\n\n\nClaim — We have \n\n\\[t_{45} \\equiv 1 + t_{1} + t_{2} + t_{3} + t_{12} + t_{23} + t_{31} \\pmod {3}.\\] \n\nProof. This follows directly by computing the coefficient of the \\(a\\) 's and \\(b\\) 's. We will nonetheless write out a derivation of this equation, to motivate it, but the proof stands without it. \n\nLet \\(B = \\sum_{1 \\leq i < j \\leq 5} b_{ij}\\) be the sum of all \\(b\\) 's. First, note that \n\n\\[t_{1} + t_{2} = B + b_{34} + b_{45} + b_{35} - b_{12}\\] \\[\\qquad = B + (t_{12} - 1 - a_{3} - a_{4} - a_{5}) - b_{12}\\] \\[\\Rightarrow b_{12} = B - (t_{1} + t_{2}) + t_{12} - 1 - (a_{3} + a_{4} + a_{5}).\\] \n\nThis means we have more or less solved for each \\(b_{ij}\\) in terms of only \\(t\\) and \\(a\\) variables. Now \n\n\\[t_{45} = 1 + a_{1} + a_{2} + a_{3} + b_{12} + b_{23} + b_{31}\\] \\[\\qquad = 1 + a_{1} + a_{2} + a_{3}\\] \\[\\qquad +[B - (t_{1} + t_{2}) + t_{12} - 1 - (a_{3} + a_{4} + a_{5})]\\] \\[\\qquad +[B - (t_{2} + t_{3}) + t_{23} - 1 - (a_{1} + a_{4} + a_{5})]\\] \\[\\qquad +[B - (t_{3} + t_{1}) + t_{13} - 1 - (a_{2} + a_{4} + a_{5})]\\] \\[\\qquad \\equiv 1 + t_{1} + t_{2} + t_{3} + t_{12} + t_{23} + t_{31} \\pmod {3}\\] \n\nas desired. \n\nHowever, we now show the two claims are incompatible (and this is easy, many ways to do this). There are two cases. \n\n- Say \\(t_{5} = k + 1\\) and the others are \\(k\\) . Then the equation for \\(t_{45}\\) gives that \\(k \\equiv 6k + 1 \\pmod {3}\\) . But now the equation for \\(t_{12}\\) give \\(k \\equiv 6k \\pmod {3}\\) . \n\n- Say \\(t_{45} = k + 1\\) and the others are \\(k\\) . Then the equation for \\(t_{45}\\) gives that \\(k + 1 \\equiv 6k \\pmod {3}\\) . But now the equation for \\(t_{12}\\) give \\(k \\equiv 6k + 1 \\pmod {3}\\) . \n\nRemark. It is significantly easier to prove that there is at least one contestant who solved five problems. One can see it by dropping the \\(+10\\) in the proof of the claim, and arrives at a contradiction. In this situation it is not even necessary to set up the many \\(a\\) and \\(b\\) variables; just note that the expected number of contestants solving any particular pair of problems is \\(\\frac{\\binom{4}{2}n}{\\binom{6}{2}} = \\frac{2}{5} n\\) . \n\nThe fact that \\(\\frac{2n + 1}{5}\\) should be an integer also follows quickly, since if not one can improve the bound to \\(\\frac{2n + 5}{5}\\) and quickly run into a contradiction. Again one can get here without setting up \\(a\\) and \\(b\\) . \n\nThe main difficulty seems to be the precision required in order to nail down the second 5- problem solve. \n\nRemark. The second claim may look miraculous, but the proof shows that it is not too unnatural to consider \\(t_{1} + t_{2} - t_{12}\\) to isolate \\(b_{12}\\) in terms of \\(a\\) 's and \\(t\\) 's. The main trick is: why mod 3? \n\nThe reason is that if one looks closely, for a fixed \\(k\\) we have a system of 15 equations in 15 variables. Unless the determinant \\(D\\) of that system happens to be zero, this means there will be a rational solution in \\(a\\) and \\(b\\) , whose denominators are bounded by \\(D\\) . However if\n\n\n\n\\(p\\mid D\\) then we may conceivably run into mod \\(p\\) issues. \n\nThis motivates the choice \\(p = 3\\) , since it is easy to see the determinant is divisible by 3, since constant shifts of \\(\\vec{a}\\) and \\(\\vec{b}\\) are also solutions mod 3. (The choice \\(p = 2\\) is a possible guess as well for this reason, but the problem seems to have better 3- symmetry.)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2005-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2005/6, proposed by Radu Gologan, Dan Schwartz (ROU) \n"}} diff --git a/IMO/segmented/en-IMO-2006-notes.jsonl b/IMO/segmented/en-IMO-2006-notes.jsonl index 4051410b33d799cb8cb554746f3449620b13dd2c..21fc88280f24e22a2f47fca0cd9ea51d5d77ee23 100644 --- a/IMO/segmented/en-IMO-2006-notes.jsonl +++ b/IMO/segmented/en-IMO-2006-notes.jsonl @@ -3,4 +3,4 @@ {"year": "2006", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Determine the least real number \\(M\\) such that the inequality \n\n\\[\\left|a b(a^{2} - b^{2}) + b c(b^{2} - c^{2}) + c a(c^{2} - a^{2})\\right|\\leq M\\left(a^{2} + b^{2} + c^{2}\\right)^{2}\\] \n\nholds for all real numbers \\(a\\) , \\(b\\) and \\(c\\) .", "solution": "It's the same as \n\n\\[|(a - b)(b - c)(c - a)(a + b + c)|\\leq M\\left(a^{2} + b^{2} + c^{2}\\right)^{2}.\\] \n\nLet \\(x = a - b\\) , \\(y = b - c\\) , \\(z = c - a\\) , \\(s = a + b + c\\) . Then we want to have \n\n\\[|xyz s|\\leq \\frac{M}{9} (x^{2} + y^{2} + z^{2} + s^{2})^{2}.\\] \n\nHere \\(x + y + z = 0\\) . \n\nNow if \\(x\\) and \\(y\\) have the same sign, we can replace them with the average (this increases the LHS and decreases RHS). So we can have \\(x = y\\) , \\(z = - 2x\\) . Now WLOG \\(x > 0\\) to get \n\n\\[2x^{3}\\cdot s\\leq \\frac{M}{9}\\left(6x^{2} + s^{2}\\right)^{2}.\\] \n\nAfter this routine calculation gives \\(M = \\frac{9}{12}\\sqrt{2}\\) works and is optimal (by \\(6x^{2} + s^{2} = 2x^{2} + 2x^{2} + 2x^{2} + s^{2}\\) and AM- GM).\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2006-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2006/3, proposed by Finbarr Holland (IRL) \n"}} {"year": "2006", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Determine all pairs \\((x,y)\\) of integers such that \n\n\\[1 + 2^{x} + 2^{2x + 1} = y^{2}.\\]", "solution": "Answers: \\((0,\\pm 2)\\) , \\((4,\\pm 23)\\) , which work. \n\nAssume \\(x \\geq 4\\) . \n\n\\[2^{x}\\left(1 + 2^{x + 1}\\right) = 2^{x} + 2^{2x + 1} = y^{2} - 1 = (y - 1)(y + 1).\\] \n\nSo either: \n\n- \\(y = 2^{x - 1}m + 1\\) for some odd \\(m\\) , so \n\n\\[1 + 2^{x + 1} = m\\left(2^{x - 2}m + 1\\right)\\Longrightarrow 2^{x} = \\frac{4(1 - m)}{m^{2} - 8}.\\] \n\n- \\(y = 2^{x - 1}m - 1\\) for some odd \\(m\\) , so \n\n\\[1 + 2^{x + 1} = m\\left(2^{x - 2}m - 1\\right)\\Longrightarrow 2^{x} = \\frac{4(1 + m)}{m^{2} - 8}.\\] \n\nIn particular we need \\(4|1\\pm m|\\geq 2^{4}|m^{2} - 8|\\) , which is enough to imply \\(m< 5\\) . From here easily recover \\(x = 4\\) , \\(m = 3\\) as the last solution (in the second case).", "metadata": {"resource_path": "IMO/segmented/en-IMO-2006-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2006/4, proposed by Zuming Feng (USA) \n"}} {"year": "2006", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(P(x)\\) be a polynomial of degree \\(n > 1\\) with integer coefficients and let \\(k\\) be a positive integer. Consider the polynomial \n\n\\[Q(x) = P(P(\\ldots P(P(x))\\ldots))\\] \n\nwhere \\(P\\) occurs \\(k\\) times. Prove that there are at most \\(n\\) integers \\(t\\) such that \\(Q(t) = t\\) .", "solution": "First, we prove that: \n\nClaim (Putnam 2000 et al) — If a number is periodic under \\(P\\) then in fact it's fixed by \\(P \\circ P\\) . \n\nProof. Let \\(x_{1}\\) , \\(x_{2}\\) , ..., \\(x_{n}\\) be a minimal orbit. Then \n\n\\[x_{i} - x_{i + 1} \\mid P(x_{i}) - P(x_{i + 1}) = x_{i + 1} - x_{i + 2}\\] \n\nand so on cyclically. \n\nIf any of the quantities are zero we are done. Else, we must eventually have \\(x_{i} - x_{i + 1} = -(x_{i + 1} - x_{i + 2})\\) , so \\(x_{i} = x_{i + 2}\\) and we get 2- periodicity. \n\nThe tricky part is to study the 2- orbits. Suppose there exists a fixed pair \\(u \\neq v\\) with \\(P(u) = v\\) , \\(P(v) = u\\) . (If no such pair exists, we are already done.) Let \\((a, b)\\) be any other pair with \\(P(a) = b\\) , \\(P(b) = a\\) , possibly even \\(a = b\\) , but \\(\\{a, b\\} \\cap \\{u, v\\} = \\emptyset\\) . Then we should have \n\n\\[u - a \\mid P(u) - P(a) = v - b \\mid P(v) - P(b) = u - a\\] \n\nand so \\(u - a\\) and \\(v - b\\) divide each other (and are nonzero). Similarly, \\(u - b\\) and \\(v - a\\) divide each other. \n\nHence \\(u - a = \\pm (v - b)\\) and \\(u - b = \\pm (v - a)\\) . We consider all four cases: \n\n- If \\(u - a = v - b\\) and \\(u - b = v - a\\) then \\(u - v = b - a = b\\) , contradiction. \n\n- If \\(u - a = -(v - b)\\) and \\(u - b = -(v - a)\\) then \\(u + v = u - v = a + b\\) . \n\n- If \\(u - a = -(v - b)\\) and \\(u - b = v - a\\) , we get \\(a + b = u + v\\) from the first one (discarding the second). \n\n- If \\(u - a = v - b\\) and \\(u - b = -(v - a)\\) , we get \\(a + b = u + v\\) from the second one (discarding the first one). \n\nThus in all possible situations we have \n\n\\[a + b = c := u + v\\] \n\na fixed constant. \n\nTherefore, any pair \\((a, b)\\) with \\(P(a) = b\\) and \\(P(b) = a\\) actually satisfies \\(P(a) = c - a\\) . And since \\(\\deg P > 1\\) , this means there are at most \\(n\\) roots to \\(a + P(a) = c\\) , as needed.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2006-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2006/5, proposed by Dan Schwarz (ROU) \n"}} -{"year": "2006", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Assign to each side \\(b\\) of a convex polygon \\(P\\) the maximum area of a triangle that has \\(b\\) as a side and is contained in \\(P\\) . Show that the sum of the areas assigned to the sides of \\(P\\) is at least twice the area of \\(P\\) .", "solution": "We say a polygon in almost convex if all its angles are at most \\(180^{\\circ}\\) . \n\nNote that given any convex or almost convex polygon, we can take any side \\(b\\) and add another vertex on it, and the sum of the labels doesn't change (since the label of a side is the length of the side times the distance of the farthest point). \n\n## Lemma \n\nLet \\(N\\) be an even integer. Then any almost convex \\(N\\) - gon with area \\(S\\) should have an inscribed triangle with area at least \\(2S / N\\) . \n\nThe main work is the proof of the lemma. \n\nLabel the polygon \\(P_{0}P_{1}\\ldots P_{N - 1}\\) . Consider the \\(N / 2\\) major diagonals of the almost convex \\(N\\) - gon, \\(P_{0}P_{N / 2}\\) , \\(P_{1}P_{N / 2 + 1}\\) , et cetera. A butterfly refers to a self- intersecting quadrilateral \\(P_{i}P_{i + 1}P_{i + 1 + N / 2}P_{i + N / 2}\\) . An example of a butterfly is shown below for \\(N = 8\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — Every point \\(X\\) in the polygon is contained in the wingspan of some butterfly. \n\nProof. Consider a windmill- like process which \n\n- starts from some oriented red line \\(P_{0}P_{N / 2}\\) , oriented to face \\(P_{0}P_{N / 2}\\)\n\n\n\n- rotates through \\(P_{0}P_{N / 2} \\cap P_{1}P_{N / 2 + 1}\\) to get line \\(P_{1}P_{N / 2 + 1}\\) , \n\n- rotates through \\(P_{1}P_{N / 2 + 1} \\cap P_{2}P_{N / 2 + 2}\\) to get line \\(P_{2}P_{N / 2 + 2}\\) , \n\n- ...et cetera, until returning to line \\(P_{N / 2}P_{0}\\) , but in the reverse orientation. \n\nAt the end of the process, every point in the plane has switched sides with our moving line. The moment that \\(X\\) crosses the moving red line, we get it contained in a butterfly, as needed. \\(\\square\\) \n\nClaim — If \\(A B D C = P_{i}P_{i + 1}P_{i + 1 + N / 2}P_{i + N / 2}\\) is a butterfly, one of the triangles \\(A B C\\) , \\(B C D\\) , \\(C D A\\) , \\(D A B\\) has area at least that of the butterfly. \n\nProof. Let the diagonals of the butterfly meet at \\(O\\) , and let \\(a = A O\\) , \\(b = B O\\) , \\(c = C O\\) , \\(d = D O\\) . If we assume WLOG \\(d = \\min (a,b,c,d)\\) then it follows \\([A B C] = [A O B] + [B O C] \\geq [A O B] + [C O D]\\) , as needed. \\(\\square\\) \n\nNow, since the \\(N / 2\\) butterflies cover an area of \\(S\\) , it follows that one of the butterflies has area at least \\(S / (N / 2) = 2S / N\\) , and so that butterfly gives a triangle with area at least \\(2S / N\\) , completing the proof of the lemma. \n\nMain proof. Let \\(a_{1}\\) , ..., \\(a_{n}\\) be the numbers assigned to the sides. Assume for contradiction \\(a_{1} + \\dots +a_{n}< 2S\\) . We pick even integers \\(m_{1}\\) , \\(m_{2}\\) , ..., \\(m_{n}\\) such that \n\n\\[\\frac{a_{1}}{S} < \\frac{2m_{1}}{m_{1} + \\dots +m_{n}}\\] \\[\\frac{a_{2}}{S} < \\frac{2m_{2}}{m_{1} + \\dots +m_{n}}\\] \\[\\vdots\\] \\[\\frac{a_{n}}{S} < \\frac{2m_{n}}{m_{1} + \\dots +m_{n}}.\\] \n\nwhich is possible by rational approximation, since the right- hand sides sum to 2 and the left- hand sides sum to strictly less than 2. \n\nNow we break every side of \\(P\\) into \\(m_{i}\\) equal parts to get an almost convex \\(N\\) - gon, where \\(N = m_{1} + \\dots +m_{n}\\) . \n\nThe main lemma then gives us a triangle \\(\\Delta\\) of the almost convex \\(N\\) - gon which has area at least \\(\\frac{2S}{N}\\) . If \\(\\Delta\\) used the \\(i\\) th side then it then follows the label \\(a_{i}\\) on that side should be at least \\(m_{i} \\cdot \\frac{2S}{N}\\) , contradiction.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2006-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2006/6, proposed by Dušan Djukić (SRB) \n"}} +{"year": "2006", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Assign to each side \\(b\\) of a convex polygon \\(P\\) the maximum area of a triangle that has \\(b\\) as a side and is contained in \\(P\\) . Show that the sum of the areas assigned to the sides of \\(P\\) is at least twice the area of \\(P\\) .", "solution": "We say a polygon in almost convex if all its angles are at most \\(180^{\\circ}\\) . \n\nNote that given any convex or almost convex polygon, we can take any side \\(b\\) and add another vertex on it, and the sum of the labels doesn't change (since the label of a side is the length of the side times the distance of the farthest point). \n\n## Lemma \n\nLet \\(N\\) be an even integer. Then any almost convex \\(N\\) - gon with area \\(S\\) should have an inscribed triangle with area at least \\(2S / N\\) . \n\nThe main work is the proof of the lemma. \n\nLabel the polygon \\(P_{0}P_{1}\\ldots P_{N - 1}\\) . Consider the \\(N / 2\\) major diagonals of the almost convex \\(N\\) - gon, \\(P_{0}P_{N / 2}\\) , \\(P_{1}P_{N / 2 + 1}\\) , et cetera. A butterfly refers to a self- intersecting quadrilateral \\(P_{i}P_{i + 1}P_{i + 1 + N / 2}P_{i + N / 2}\\) . An example of a butterfly is shown below for \\(N = 8\\) . \n\n![md5:5b22fe487a47945ff098859adfe9cb84](5b22fe487a47945ff098859adfe9cb84.jpeg)\n \n\nClaim — Every point \\(X\\) in the polygon is contained in the wingspan of some butterfly. \n\nProof. Consider a windmill- like process which \n\n- starts from some oriented red line \\(P_{0}P_{N / 2}\\) , oriented to face \\(P_{0}P_{N / 2}\\)\n\n\n\n- rotates through \\(P_{0}P_{N / 2} \\cap P_{1}P_{N / 2 + 1}\\) to get line \\(P_{1}P_{N / 2 + 1}\\) , \n\n- rotates through \\(P_{1}P_{N / 2 + 1} \\cap P_{2}P_{N / 2 + 2}\\) to get line \\(P_{2}P_{N / 2 + 2}\\) , \n\n- ...et cetera, until returning to line \\(P_{N / 2}P_{0}\\) , but in the reverse orientation. \n\nAt the end of the process, every point in the plane has switched sides with our moving line. The moment that \\(X\\) crosses the moving red line, we get it contained in a butterfly, as needed. \\(\\square\\) \n\nClaim — If \\(A B D C = P_{i}P_{i + 1}P_{i + 1 + N / 2}P_{i + N / 2}\\) is a butterfly, one of the triangles \\(A B C\\) , \\(B C D\\) , \\(C D A\\) , \\(D A B\\) has area at least that of the butterfly. \n\nProof. Let the diagonals of the butterfly meet at \\(O\\) , and let \\(a = A O\\) , \\(b = B O\\) , \\(c = C O\\) , \\(d = D O\\) . If we assume WLOG \\(d = \\min (a,b,c,d)\\) then it follows \\([A B C] = [A O B] + [B O C] \\geq [A O B] + [C O D]\\) , as needed. \\(\\square\\) \n\nNow, since the \\(N / 2\\) butterflies cover an area of \\(S\\) , it follows that one of the butterflies has area at least \\(S / (N / 2) = 2S / N\\) , and so that butterfly gives a triangle with area at least \\(2S / N\\) , completing the proof of the lemma. \n\nMain proof. Let \\(a_{1}\\) , ..., \\(a_{n}\\) be the numbers assigned to the sides. Assume for contradiction \\(a_{1} + \\dots +a_{n}< 2S\\) . We pick even integers \\(m_{1}\\) , \\(m_{2}\\) , ..., \\(m_{n}\\) such that \n\n\\[\\frac{a_{1}}{S} < \\frac{2m_{1}}{m_{1} + \\dots +m_{n}}\\] \\[\\frac{a_{2}}{S} < \\frac{2m_{2}}{m_{1} + \\dots +m_{n}}\\] \\[\\vdots\\] \\[\\frac{a_{n}}{S} < \\frac{2m_{n}}{m_{1} + \\dots +m_{n}}.\\] \n\nwhich is possible by rational approximation, since the right- hand sides sum to 2 and the left- hand sides sum to strictly less than 2. \n\nNow we break every side of \\(P\\) into \\(m_{i}\\) equal parts to get an almost convex \\(N\\) - gon, where \\(N = m_{1} + \\dots +m_{n}\\) . \n\nThe main lemma then gives us a triangle \\(\\Delta\\) of the almost convex \\(N\\) - gon which has area at least \\(\\frac{2S}{N}\\) . If \\(\\Delta\\) used the \\(i\\) th side then it then follows the label \\(a_{i}\\) on that side should be at least \\(m_{i} \\cdot \\frac{2S}{N}\\) , contradiction.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2006-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2006/6, proposed by Dušan Djukić (SRB) \n"}} diff --git a/IMO/segmented/en-IMO-2007-notes.jsonl b/IMO/segmented/en-IMO-2007-notes.jsonl index e411f0021f9f6b799636d7315b586a59d6c651a9..5acfe249ce4beb48abf7828a17144437612bbe14 100644 --- a/IMO/segmented/en-IMO-2007-notes.jsonl +++ b/IMO/segmented/en-IMO-2007-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2007", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Real numbers \\(a_{1}\\) , \\(a_{2}\\) , ..., \\(a_{n}\\) are fixed. For each \\(1 \\leq i \\leq n\\) we let \\(d_{i} = \\max \\{a_{j} : 1 \\leq j \\leq i\\} - \\min \\{a_{j} : i \\leq j \\leq n\\}\\) and let \\(d = \\max \\{d_{i} : 1 \\leq i \\leq n\\}\\) . \n\n(a) Prove that for any real numbers \\(x_{1} \\leq \\dots \\leq x_{n}\\) we have \n\n\\[\\max \\left\\{|x_{i} - a_{i}|:1\\leq i\\leq n\\right\\} \\geq \\frac{1}{2} d.\\] \n\n(b) Moreover, show that there exists some choice of \\(x_{1} \\leq \\dots \\leq x_{n}\\) which achieves equality.", "solution": "Note that we can dispense of \\(d_{i}\\) immediately by realizing that the definition of \\(d\\) just says \n\n\\[d = \\max_{1 \\leq i \\leq j \\leq n} (a_{i} - a_{j}).\\] \n\nIf \\(a_{1} \\leq \\dots \\leq a_{n}\\) are already nondecreasing then \\(d = 0\\) and there is nothing to prove (for the equality case, just let \\(x_{i} = a_{i}\\) ), so we will no longer consider this case. \n\nOtherwise, consider any indices \\(i < j\\) with \\(a_{i} > a_{j}\\) . We first prove (a) by applying the following claim with \\(p = a_{i}\\) and \\(q = a_{j}\\) : \n\nClaim — For any \\(p \\leq q\\) , we have either \\(|p - a_{i}| \\geq \\frac{1}{2} (a_{i} - a_{j})\\) or \\(|q - a_{j}| \\geq \\frac{1}{2} (a_{i} - a_{j}) \n\nProof. Assume for contradiction both are false. Then \\(p > a_{i} - \\frac{1}{2} (a_{i} - a_{j}) = a_{j} + \\frac{1}{2} (a_{i} - a_{j}) > q\\) , contradiction. \\(\\square\\) \n\nAs for (b), we let \\(i < j\\) be any indices for which \\(a_{i} - a_{j} = d > 0\\) achieves the maximal difference. We then define \\(x_{\\bullet}\\) in three steps: \n\nWe set \\(x_{k} = \\frac{a_{i} + a_{j}}{2}\\) for \\(k = i, \\ldots , j\\) . We recursively set \\(x_{k} = \\max (x_{k - 1}, a_{k})\\) for \\(k = j + 1, j + 2, \\ldots\\) . We recursively set \\(x_{k} = \\min (x_{k + 1}, a_{k})\\) for \\(k = i - 1, i - 2, \\ldots\\) . \n\nBy definition, these \\(x_{\\bullet}\\) are weakly increasing. To prove this satisfies (b) we only need to check that \n\n\\[|x_{k} - a_{k}| \\leq \\frac{a_{i} - a_{j}}{2} \\qquad (\\star)\\] \n\nfor any index \\(k\\) (as equality holds for \\(k = i\\) or \\(k = j\\) ). \n\nWe note \\((\\star)\\) holds for \\(i < k < j\\) by construction. For \\(k > j\\) , note that \\(x_{k} \\in \\{a_{j}, a_{j + 1}, \\ldots , a_{k}\\}\\) by construction, so \\((\\star)\\) follows from our choice of \\(i\\) and \\(j\\) giving the largest possible difference; the case \\(k < i\\) is similar.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2007/1, proposed by Michael Albert (NZL) \n"}} -{"year": "2007", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Consider five points \\(A\\) , \\(B\\) , \\(C\\) , \\(D\\) and \\(E\\) such that \\(ABCD\\) is a parallelogram and \\(BCED\\) is a cyclic quadrilateral. Let \\(\\ell\\) be a line passing through \\(A\\) . Suppose that \\(\\ell\\) intersects the interior of the segment \\(DC\\) at \\(F\\) and intersects line \\(BC\\) at \\(G\\) . Suppose also that \\(EF = EG = EC\\) . Prove that \\(\\ell\\) is the bisector of angle \\(DAB\\) .", "solution": "Let \\(M\\) , \\(N\\) , \\(P\\) denote the midpoints of \\(\\overline{CF}\\) , \\(\\overline{CG}\\) , \\(\\overline{AC}\\) (noting \\(P\\) is also the midpoint of \\(\\overline{BD}\\) ). \n\nBy a homothety at \\(C\\) with ratio \\(\\frac{1}{2}\\) , we find \\(\\overline{MNP}\\) is the image of line \\(\\ell \\equiv \\overline{AGF}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nHowever, since we also have \\(\\overline{EM} \\perp \\overline{CF}\\) and \\(\\overline{EN} \\perp \\overline{CG}\\) (from \\(EF = EG = EC\\) ) we conclude \\(\\overline{PMN}\\) is the Simson line of \\(E\\) with respect to \\(\\triangle BCD\\) , which implies \\(\\overline{EP} \\perp \\overline{BD}\\) . In other words, \\(\\overline{EP}\\) is the perpendicular bisector of \\(\\overline{BD}\\) , so \\(E\\) is the midpoint of arc \\(\\overline{BCD}\\) . \n\nFinally, \n\n\\[\\angle (\\overline{AB}, \\ell) = \\angle (\\overline{CD}, \\overline{MNP}) = \\angle CMN = \\angle CEN\\] \\[\\qquad = 90^{\\circ} - \\angle NCE = 90^{\\circ} + \\angle ECB\\] \n\nwhich means that \\(\\ell\\) is parallel to a bisector of \\(\\angle BCD\\) , and hence to one of \\(\\angle BAD\\) . (Moreover since \\(F\\) lies on the interior of \\(\\overline{CD}\\) , it is actually the internal bisector.)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2007/2, proposed by Charles Leytem (LUX) \n"}} -{"year": "2007", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "In a mathematical competition some competitors are (mutual) friends. Call a group of competitors a clique if each two of them are friends. Given that the largest size of a clique is even, prove that the competitors can be arranged into two rooms such that the largest size of a clique contained in one room is the same as the largest size of a clique contained in the other room.", "solution": "Take the obvious graph interpretation \\(G\\) . We paint red any vertices in one of the maximal cliques \\(K\\) , which we assume has \\(2r\\) vertices, and paint the remaining vertices green. We let \\(\\alpha (\\bullet)\\) denote the clique number. \n\nInitially, let the two rooms \\(A = K\\) , \\(B = G - K\\) . \n\nClaim — We can move at most \\(r\\) vertices of \\(A\\) into \\(B\\) to arrive at \\(\\alpha (A) \\leq \\alpha (B) \\leq \\alpha (A) + 1\\) . \n\nProof. This is actually obvious by discrete continuity. We move one vertex at a time, noting \\(\\alpha (A)\\) decreases by one at each step, while \\(\\alpha (B)\\) increases by either zero or one at each step. \n\nWe stop once \\(\\alpha (B) \\geq \\alpha (A)\\) , which happens before we have moved \\(r\\) vertices (since then we have \\(\\alpha (B) \\geq r = \\alpha (A)\\) ). The conclusion follows. \\(\\square\\) \n\nSo let's consider the situation \n\n\\[\\alpha (A) = k \\geq r \\qquad \\text{and} \\qquad \\alpha (B) = k + 1.\\] \n\nAt this point \\(A\\) is a set of \\(k\\) red vertices, while \\(B\\) has the remaining \\(2r - k\\) red vertices (and all the green ones). An example is shown below with \\(k = 4\\) and \\(2r = 6\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nNow, if we can move any red vertex from \\(B\\) back to \\(A\\) without changing the clique number of \\(B\\) , we do so, and win. \n\nOtherwise, it must be the case that every \\((k + 1)\\) - clique in \\(B\\) uses every red vertex in \\(B\\) . For each \\((k + 1)\\) - clique in \\(B\\) (in arbitrary order), we do the following procedure.\n\n\n\n- If all \\(k + 1\\) vertices are still green, pick one and re-color it blue. This is possible since \\(k + 1 > 2r - k\\) . \n\n- Otherwise, do nothing. \n\nThen we move all the blue vertices from \\(B\\) to \\(A\\) , one at a time, in the same order we re- colored them. This forcibly decreases the clique number of \\(B\\) to \\(k\\) , since the clique number is \\(k + 1\\) just before the last blue vertex is moved, and strictly less than \\(k + 1\\) (hence equal to \\(k\\) ) immediately after that. \n\nClaim — After this, \\(\\alpha (A) = k\\) still holds. \n\nProof. Assume not, and we have a \\((k + 1)\\) - clique which uses \\(b\\) blue vertices and \\((k + 1) - b\\) red vertices in \\(A\\) . Together with the \\(2r - k\\) red vertices already in \\(B\\) we then get a clique of size \n\n\\[b + ((k + 1 - b)) + (2r - k) = 2r + 1\\] \n\nwhich is a contradiction. \n\nRemark. Dragomir Grozev posted the following motivation on his blog: \n\nI think, it's a natural idea to place all students in one room and begin moving them one by one into the other one. Then the max size of the cliques in the first and second room increase (resp. decrease) at most with one. So, there would be a moment both sizes are almost the same. At that moment we may adjust something. \n\nTrying the idea, I had some difficulties keeping track of the maximal cliques in the both rooms. It seemed easier all the students in one of the rooms to comprise a clique. It could be achieved by moving only the members of the maximal clique. Following this path the remaining obstacles can be overcome naturally.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2007/3, proposed by Vasily Astakhov (RUS) \n"}} -{"year": "2007", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "In triangle \\(ABC\\) the bisector of \\(\\angle BCA\\) meets the circumcircle again at \\(R\\) , the perpendicular bisector of \\(\\overline{BC}\\) at \\(P\\) , and the perpendicular bisector of \\(\\overline{AC}\\) at \\(Q\\) . The midpoint of \\(\\overline{BC}\\) is \\(K\\) and the midpoint of \\(\\overline{AC}\\) is \\(L\\) . Prove that the triangles \\(RPK\\) and \\(RQL\\) have the same area.", "solution": "We first begin by proving the following claim. \n\nClaim — We have \\(CQ = PR\\) (equivalently, \\(CP = QR\\) ). \n\nProof. Let \\(O = \\overline{LQ} \\cap \\overline{KP}\\) be the circumcenter. Then \n\n\\[\\angle OPQ = \\angle KPC = 90^{\\circ} - \\angle PCK = 90^{\\circ} - \\angle LCQ = \\angle \\angle CQL = \\angle PQO.\\] \n\nThus \\(OP = OQ\\) . Since \\(OC = OR\\) as well, we get the conclusion. \n\nDenote by \\(X\\) and \\(Y\\) the feet from \\(R\\) to \\(\\overline{CA}\\) and \\(\\overline{CB}\\) , so \\(\\triangle CXR \\cong \\triangle CYR\\) . Then, let \\(t = \\frac{CQ}{CR} = 1 - \\frac{CP}{CR}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nThen it follows that \n\n\\[[RQ L] = [X Q L] = t(1 - t)\\cdot [X R C] = t(1 - t)\\cdot [Y C R] = [Y K P] = [R K P]\\] \n\nas needed. \n\nRemark. Trigonometric approaches are very possible (and easier to find) as well: both areas work out to be \\(\\frac{1}{8} ab \\tan \\frac{1}{2} C\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2007/4, proposed by Marek Pechal (CZE) \n"}} +{"year": "2007", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Consider five points \\(A\\) , \\(B\\) , \\(C\\) , \\(D\\) and \\(E\\) such that \\(ABCD\\) is a parallelogram and \\(BCED\\) is a cyclic quadrilateral. Let \\(\\ell\\) be a line passing through \\(A\\) . Suppose that \\(\\ell\\) intersects the interior of the segment \\(DC\\) at \\(F\\) and intersects line \\(BC\\) at \\(G\\) . Suppose also that \\(EF = EG = EC\\) . Prove that \\(\\ell\\) is the bisector of angle \\(DAB\\) .", "solution": "Let \\(M\\) , \\(N\\) , \\(P\\) denote the midpoints of \\(\\overline{CF}\\) , \\(\\overline{CG}\\) , \\(\\overline{AC}\\) (noting \\(P\\) is also the midpoint of \\(\\overline{BD}\\) ). \n\nBy a homothety at \\(C\\) with ratio \\(\\frac{1}{2}\\) , we find \\(\\overline{MNP}\\) is the image of line \\(\\ell \\equiv \\overline{AGF}\\) . \n\n![md5:90c7d9d8c9946257ff4ef5d4b6869e25](90c7d9d8c9946257ff4ef5d4b6869e25.jpeg)\n \n\nHowever, since we also have \\(\\overline{EM} \\perp \\overline{CF}\\) and \\(\\overline{EN} \\perp \\overline{CG}\\) (from \\(EF = EG = EC\\) ) we conclude \\(\\overline{PMN}\\) is the Simson line of \\(E\\) with respect to \\(\\triangle BCD\\) , which implies \\(\\overline{EP} \\perp \\overline{BD}\\) . In other words, \\(\\overline{EP}\\) is the perpendicular bisector of \\(\\overline{BD}\\) , so \\(E\\) is the midpoint of arc \\(\\overline{BCD}\\) . \n\nFinally, \n\n\\[\\angle (\\overline{AB}, \\ell) = \\angle (\\overline{CD}, \\overline{MNP}) = \\angle CMN = \\angle CEN\\] \\[\\qquad = 90^{\\circ} - \\angle NCE = 90^{\\circ} + \\angle ECB\\] \n\nwhich means that \\(\\ell\\) is parallel to a bisector of \\(\\angle BCD\\) , and hence to one of \\(\\angle BAD\\) . (Moreover since \\(F\\) lies on the interior of \\(\\overline{CD}\\) , it is actually the internal bisector.)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2007/2, proposed by Charles Leytem (LUX) \n"}} +{"year": "2007", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "In a mathematical competition some competitors are (mutual) friends. Call a group of competitors a clique if each two of them are friends. Given that the largest size of a clique is even, prove that the competitors can be arranged into two rooms such that the largest size of a clique contained in one room is the same as the largest size of a clique contained in the other room.", "solution": "Take the obvious graph interpretation \\(G\\) . We paint red any vertices in one of the maximal cliques \\(K\\) , which we assume has \\(2r\\) vertices, and paint the remaining vertices green. We let \\(\\alpha (\\bullet)\\) denote the clique number. \n\nInitially, let the two rooms \\(A = K\\) , \\(B = G - K\\) . \n\nClaim — We can move at most \\(r\\) vertices of \\(A\\) into \\(B\\) to arrive at \\(\\alpha (A) \\leq \\alpha (B) \\leq \\alpha (A) + 1\\) . \n\nProof. This is actually obvious by discrete continuity. We move one vertex at a time, noting \\(\\alpha (A)\\) decreases by one at each step, while \\(\\alpha (B)\\) increases by either zero or one at each step. \n\nWe stop once \\(\\alpha (B) \\geq \\alpha (A)\\) , which happens before we have moved \\(r\\) vertices (since then we have \\(\\alpha (B) \\geq r = \\alpha (A)\\) ). The conclusion follows. \\(\\square\\) \n\nSo let's consider the situation \n\n\\[\\alpha (A) = k \\geq r \\qquad \\text{and} \\qquad \\alpha (B) = k + 1.\\] \n\nAt this point \\(A\\) is a set of \\(k\\) red vertices, while \\(B\\) has the remaining \\(2r - k\\) red vertices (and all the green ones). An example is shown below with \\(k = 4\\) and \\(2r = 6\\) . \n\n![md5:2db1e2dc19e9106a597d07c1bac38fbe](2db1e2dc19e9106a597d07c1bac38fbe.jpeg)\n \n\nNow, if we can move any red vertex from \\(B\\) back to \\(A\\) without changing the clique number of \\(B\\) , we do so, and win. \n\nOtherwise, it must be the case that every \\((k + 1)\\) - clique in \\(B\\) uses every red vertex in \\(B\\) . For each \\((k + 1)\\) - clique in \\(B\\) (in arbitrary order), we do the following procedure.\n\n\n\n- If all \\(k + 1\\) vertices are still green, pick one and re-color it blue. This is possible since \\(k + 1 > 2r - k\\) . \n\n- Otherwise, do nothing. \n\nThen we move all the blue vertices from \\(B\\) to \\(A\\) , one at a time, in the same order we re- colored them. This forcibly decreases the clique number of \\(B\\) to \\(k\\) , since the clique number is \\(k + 1\\) just before the last blue vertex is moved, and strictly less than \\(k + 1\\) (hence equal to \\(k\\) ) immediately after that. \n\nClaim — After this, \\(\\alpha (A) = k\\) still holds. \n\nProof. Assume not, and we have a \\((k + 1)\\) - clique which uses \\(b\\) blue vertices and \\((k + 1) - b\\) red vertices in \\(A\\) . Together with the \\(2r - k\\) red vertices already in \\(B\\) we then get a clique of size \n\n\\[b + ((k + 1 - b)) + (2r - k) = 2r + 1\\] \n\nwhich is a contradiction. \n\nRemark. Dragomir Grozev posted the following motivation on his blog: \n\nI think, it's a natural idea to place all students in one room and begin moving them one by one into the other one. Then the max size of the cliques in the first and second room increase (resp. decrease) at most with one. So, there would be a moment both sizes are almost the same. At that moment we may adjust something. \n\nTrying the idea, I had some difficulties keeping track of the maximal cliques in the both rooms. It seemed easier all the students in one of the rooms to comprise a clique. It could be achieved by moving only the members of the maximal clique. Following this path the remaining obstacles can be overcome naturally.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2007/3, proposed by Vasily Astakhov (RUS) \n"}} +{"year": "2007", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "In triangle \\(ABC\\) the bisector of \\(\\angle BCA\\) meets the circumcircle again at \\(R\\) , the perpendicular bisector of \\(\\overline{BC}\\) at \\(P\\) , and the perpendicular bisector of \\(\\overline{AC}\\) at \\(Q\\) . The midpoint of \\(\\overline{BC}\\) is \\(K\\) and the midpoint of \\(\\overline{AC}\\) is \\(L\\) . Prove that the triangles \\(RPK\\) and \\(RQL\\) have the same area.", "solution": "We first begin by proving the following claim. \n\nClaim — We have \\(CQ = PR\\) (equivalently, \\(CP = QR\\) ). \n\nProof. Let \\(O = \\overline{LQ} \\cap \\overline{KP}\\) be the circumcenter. Then \n\n\\[\\angle OPQ = \\angle KPC = 90^{\\circ} - \\angle PCK = 90^{\\circ} - \\angle LCQ = \\angle \\angle CQL = \\angle PQO.\\] \n\nThus \\(OP = OQ\\) . Since \\(OC = OR\\) as well, we get the conclusion. \n\nDenote by \\(X\\) and \\(Y\\) the feet from \\(R\\) to \\(\\overline{CA}\\) and \\(\\overline{CB}\\) , so \\(\\triangle CXR \\cong \\triangle CYR\\) . Then, let \\(t = \\frac{CQ}{CR} = 1 - \\frac{CP}{CR}\\) . \n\n![md5:c8ecb3a013860bc61b684a189d96cfdc](c8ecb3a013860bc61b684a189d96cfdc.jpeg)\n \n\nThen it follows that \n\n\\[[RQ L] = [X Q L] = t(1 - t)\\cdot [X R C] = t(1 - t)\\cdot [Y C R] = [Y K P] = [R K P]\\] \n\nas needed. \n\nRemark. Trigonometric approaches are very possible (and easier to find) as well: both areas work out to be \\(\\frac{1}{8} ab \\tan \\frac{1}{2} C\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2007/4, proposed by Marek Pechal (CZE) \n"}} {"year": "2007", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(a\\) and \\(b\\) be positive integers. Show that if \\(4ab - 1\\) divides \\((4a^{2} - 1)^{2}\\) , then \\(a = b\\) .", "solution": "As usual, \n\n\\[4ab - 1\\mid (4a^{2} - 1)^{2}\\iff 4ab - 1\\mid (4ab\\cdot a - b)^{2}\\iff 4ab - 1\\mid (a - b)^{2}.\\] \n\nThen we use a typical Vieta jumping argument. Define \n\n\\[k = \\frac{(a - b)^{2}}{4ab - 1}.\\] \n\nNote that \\(k = 0 \\iff a = b\\) . So we will prove that \\(k > 0\\) leads to a contradiction. \n\nIndeed, suppose \\((a,b)\\) is a minimal solution with \\(a > b\\) (we have \\(a\\neq b\\) since \\(k\\neq 0\\) - By Vieta jumping, \\((b,\\frac{b^{2} + k}{a})\\) is also such a solution. But now \n\n\\[\\frac{b^{2} + k}{a}\\geq a\\Rightarrow k\\geq a^{2} - b^{2}\\] \\[\\Rightarrow \\frac{(a - b)^{2}}{4ab - 1}\\geq a^{2} - b^{2}\\] \\[\\Rightarrow a - b\\geq (4ab - 1)(a + b)\\] \n\nwhich is absurd for \\(a,b\\in \\mathbb{Z}_{>0}\\) . (In the last step we divided by \\(a - b > 0\\) -", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2007/5, proposed by Kevin Buzzard, Edward Crane (UNK) \n"}} {"year": "2007", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. Consider \n\n\\[S = \\{(x,y,z) \\mid x,y,z \\in \\{0,1,\\ldots ,n\\} , x + y + z > 0\\}\\] \n\nas a set of \\((n + 1)^{3} - 1\\) points in the three- dimensional space. Determine the smallest possible number of planes, the union of which contains \\(S\\) but does not include \\((0,0,0)\\) .", "solution": "The answer is \\(3n\\) . Here are two examples of constructions with \\(3n\\) planes: \n\n\\(\\cdot x + y + z = i\\) for \\(i = 1,\\ldots ,3n\\) \n\n\\(\\cdot x = i\\) \\(y = i\\) \\(z = i\\) for \\(i = 1,\\ldots ,n\\) \n\nSuppose for contradiction we have \\(N< 3n\\) planes. Let them be \\(a_{i}x + b_{i}y + c_{i}z + 1 = 0\\) for \\(i = 1,\\ldots ,N\\) . Define the polynomials \n\n\\[A(x,y,z) = \\prod_{i = 1}^{n}(x - i)\\prod_{i = 1}^{n}(y - i)\\prod_{i = 1}^{n}(z - i)\\] \\[B(x,y,z) = \\prod_{i = 1}^{N}(a_{i}x + b_{i}y + c_{i}z + 1).\\] \n\nNote that \\(A(0,0,0) = (- 1)^{n}(n!)^{3}\\neq 0\\) and \\(B(0,0,0) = 1\\neq 0\\) , but \\(A(x,y,z) =\\) \\(B(x,y,z) = 0\\) for any \\((x,y,z)\\in S\\) . Also, the coefficient of \\(x^{n}y^{n}z^{n}\\) in \\(A\\) is 1, while the coefficient of \\(x^{n}y^{n}z^{n}\\) in \\(B\\) is 0. \n\nNow, define \n\n\\[P(x,y,z):= A(x,y,z) - \\lambda B(x,y,z).\\] \n\nwhere \\(\\lambda = \\frac{A(0,0,0)}{B(0,0,0)} = (- 1)^{n}(n!)^{3}\\) . We now have that \n\n\\(\\cdot P(x,y,z) = 0\\) for any \\(x,y,z\\in \\{0,1,\\ldots ,n\\}^{3}\\) \n\nBut the coefficient of \\(x^{n}y^{n}z^{n}\\) is 1. \n\nThis is a contradiction to Alon's combinatorial nullstellensatz.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2007-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2007/6, proposed by Gerhard Woeginger (NLD) \n"}} diff --git a/IMO/segmented/en-IMO-2008-notes.jsonl b/IMO/segmented/en-IMO-2008-notes.jsonl index 59a696f232f99806d4dea35f472b4a721384a375..93479925ca3bcec68a6444703db4d3a43be54398 100644 --- a/IMO/segmented/en-IMO-2008-notes.jsonl +++ b/IMO/segmented/en-IMO-2008-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2008", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(H\\) be the orthocenter of an acute-angled triangle \\(ABC\\) . The circle \\(\\Gamma_{A}\\) centered at the midpoint of \\(\\overline{BC}\\) and passing through \\(H\\) intersects the sideline \\(BC\\) at points \\(A_{1}\\) and \\(A_{2}\\) . Similarly, define the points \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , and \\(C_{2}\\) . Prove that six points \\(A_{1}\\) , \\(A_{2}\\) , \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , \\(C_{2}\\) are concyclic.", "solution": ". \n\nWe show two solutions. \n\n\\(\\P\\) First solution using power of a point. Let \\(D\\) , \\(E\\) , \\(F\\) be the centers of \\(\\Gamma_{A}\\) , \\(\\Gamma_{B}\\) , \\(\\Gamma_{C}\\) (in other words, the midpoints of the sides). \n\nWe first show that \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , \\(C_{2}\\) are concyclic. It suffices to prove that \\(A\\) lies on the radical axis of the circles \\(\\Gamma_{B}\\) and \\(\\Gamma_{C}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(X\\) be the second intersection of \\(\\Gamma_{B}\\) and \\(\\Gamma_{C}\\) . Clearly \\(\\overline{XH}\\) is perpendicular to the line joining the centers of the circles, namely \\(\\overline{EF}\\) . But \\(\\overline{EF} \\parallel \\overline{BC}\\) , so \\(\\overline{XH} \\perp \\overline{BC}\\) . Since \\(\\overline{AH} \\perp \\overline{BC}\\) as well, we find that \\(A\\) , \\(X\\) , \\(H\\) are collinear, as needed. \n\nThus, \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , \\(C_{2}\\) are concyclic. Similarly, \\(C_{1}\\) , \\(C_{2}\\) , \\(A_{1}\\) , \\(A_{2}\\) are concyclic, as are \\(A_{1}\\) , \\(A_{2}\\) , \\(B_{1}\\) , \\(B_{2}\\) . Now if any two of these three circles coincide, we are done; else the pairwise radical axii are not concurrent, contradiction. (Alternatively, one can argue directly that \\(O\\) is the center of all three circles, by taking the perpendicular bisectors.) \n\n\\(\\P\\) Second solution using length chase (Ritwin Narra). We claim the circumcenter \\(O\\) of \\(\\triangle ABC\\) is in fact the center of \\((A_{1}A_{2}B_{1}B_{2}C_{1}C_{2})\\) . \n\nDefine \\(D\\) , \\(E\\) , \\(F\\) as before. Then since \\(\\overline{OD} \\perp \\overline{A_{1}A_{2}}\\) and \\(DA_{1} = DA_{2}\\) , which means \\(OA_{1} = OA_{2}\\) . Similarly, we have \\(OB_{1} = OB_{2}\\) and \\(OC_{1} = OC_{2}\\) . \n\nNow since \\(DA_{1} = DA_{2} = DH\\) , we have \\(OA_{1}^{2} = OD^{2} + HD^{2}\\) . We seek to show \n\n\\[OD^{2} + HD^{2} = OE^{2} + HE^{2} = OF^{2} + HF^{2}.\\]\n\n\n\nThis is clear by Appollonius's Theorem since \\(D\\) , \\(E\\) , and \\(F\\) lie on the nine- point circle, which is centered at the midpoint of \\(\\overline{OH}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2008/1, proposed by Andrey Gavrilyuk (RUS) \n"}} +{"year": "2008", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(H\\) be the orthocenter of an acute-angled triangle \\(ABC\\) . The circle \\(\\Gamma_{A}\\) centered at the midpoint of \\(\\overline{BC}\\) and passing through \\(H\\) intersects the sideline \\(BC\\) at points \\(A_{1}\\) and \\(A_{2}\\) . Similarly, define the points \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , and \\(C_{2}\\) . Prove that six points \\(A_{1}\\) , \\(A_{2}\\) , \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , \\(C_{2}\\) are concyclic.", "solution": ". \n\nWe show two solutions. \n\n\\(\\P\\) First solution using power of a point. Let \\(D\\) , \\(E\\) , \\(F\\) be the centers of \\(\\Gamma_{A}\\) , \\(\\Gamma_{B}\\) , \\(\\Gamma_{C}\\) (in other words, the midpoints of the sides). \n\nWe first show that \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , \\(C_{2}\\) are concyclic. It suffices to prove that \\(A\\) lies on the radical axis of the circles \\(\\Gamma_{B}\\) and \\(\\Gamma_{C}\\) . \n\n![md5:e3cd66dc2339653743ee86db54660c9c](e3cd66dc2339653743ee86db54660c9c.jpeg)\n \n\nLet \\(X\\) be the second intersection of \\(\\Gamma_{B}\\) and \\(\\Gamma_{C}\\) . Clearly \\(\\overline{XH}\\) is perpendicular to the line joining the centers of the circles, namely \\(\\overline{EF}\\) . But \\(\\overline{EF} \\parallel \\overline{BC}\\) , so \\(\\overline{XH} \\perp \\overline{BC}\\) . Since \\(\\overline{AH} \\perp \\overline{BC}\\) as well, we find that \\(A\\) , \\(X\\) , \\(H\\) are collinear, as needed. \n\nThus, \\(B_{1}\\) , \\(B_{2}\\) , \\(C_{1}\\) , \\(C_{2}\\) are concyclic. Similarly, \\(C_{1}\\) , \\(C_{2}\\) , \\(A_{1}\\) , \\(A_{2}\\) are concyclic, as are \\(A_{1}\\) , \\(A_{2}\\) , \\(B_{1}\\) , \\(B_{2}\\) . Now if any two of these three circles coincide, we are done; else the pairwise radical axii are not concurrent, contradiction. (Alternatively, one can argue directly that \\(O\\) is the center of all three circles, by taking the perpendicular bisectors.) \n\n\\(\\P\\) Second solution using length chase (Ritwin Narra). We claim the circumcenter \\(O\\) of \\(\\triangle ABC\\) is in fact the center of \\((A_{1}A_{2}B_{1}B_{2}C_{1}C_{2})\\) . \n\nDefine \\(D\\) , \\(E\\) , \\(F\\) as before. Then since \\(\\overline{OD} \\perp \\overline{A_{1}A_{2}}\\) and \\(DA_{1} = DA_{2}\\) , which means \\(OA_{1} = OA_{2}\\) . Similarly, we have \\(OB_{1} = OB_{2}\\) and \\(OC_{1} = OC_{2}\\) . \n\nNow since \\(DA_{1} = DA_{2} = DH\\) , we have \\(OA_{1}^{2} = OD^{2} + HD^{2}\\) . We seek to show \n\n\\[OD^{2} + HD^{2} = OE^{2} + HE^{2} = OF^{2} + HF^{2}.\\]\n\n\n\nThis is clear by Appollonius's Theorem since \\(D\\) , \\(E\\) , and \\(F\\) lie on the nine- point circle, which is centered at the midpoint of \\(\\overline{OH}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2008/1, proposed by Andrey Gavrilyuk (RUS) \n"}} {"year": "2008", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(x\\) , \\(y\\) , \\(z\\) be real numbers with \\(xyz = 1\\) , all different from 1. Prove that \n\n\\[\\frac{x^{2}}{(x - 1)^{2}} +\\frac{y^{2}}{(y - 1)^{2}} +\\frac{z^{2}}{(z - 1)^{2}}\\geq 1\\] \n\nand show that equality holds for infinitely many choices of rational numbers \\(x\\) , \\(y\\) , \\(z\\) .", "solution": "Let \\(x = a / b\\) , \\(y = b / c\\) , \\(z = c / a\\) , so we want to show \n\n\\[\\left(\\frac{a}{a - b}\\right)^{2} + \\left(\\frac{b}{b - c}\\right)^{2} + \\left(\\frac{c}{c - a}\\right)^{2}\\geq 1.\\] \n\nA boring computation shows this is equivalent to \n\n\\[\\frac{(a^{2}b + b^{2}c + c^{2}a - 3abc)^{2}}{(a - b)^{2}(b - c)^{2}(c - a)^{2}}\\geq 0\\] \n\nwhich proves the inequality (and it is unsurprising we are in such a situation, given that there is an infinite curve of rationals). \n\nFor equality, it suffices to show there are infinitely many integer solutions to \n\n\\[a^{2}b + b^{2}c + c^{2}a = 3abc\\iff \\frac{a}{c} +\\frac{b}{a} +\\frac{c}{a} = 3\\] \n\nor equivalently that there are infinitely many rational solutions to \n\n\\[u + v + \\frac{1}{uv} = 3.\\] \n\nFor any \\(0\\neq u\\in \\mathbb{Q}\\) the real solution for \\(u\\) is \n\n\\[v = \\frac{-u + (u - 1)\\sqrt{1 - 4 / u} + 3}{2}\\] \n\nand there are certainly infinitely many rational numbers \\(u\\) for which \\(1 - 4 / u\\) is a rational square (say, \\(u = \\frac{- 4}{q^{2} - 1}\\) for \\(q\\neq \\pm 1\\) a rational number).", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2008/2, proposed by Walther Janous (AUT) \n"}} {"year": "2008", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Prove that there are infinitely many positive integers \\(n\\) such that \\(n^{2} + 1\\) has a prime factor greater than \\(2n + \\sqrt{2n}\\) .", "solution": "Problem statement \n\nThe idea is to pick the prime \\(p\\) first! \n\nSelect any large prime \\(p \\geq 2013\\) , and let \\(h = \\left\\lceil \\sqrt{p}\\right\\rceil\\) . We will try to find an \\(n\\) such that \n\n\\[n \\leq \\frac{1}{2} (p - h) \\quad \\text{and} \\quad p \\mid n^{2} + 1.\\] \n\nThis implies \\(p \\geq 2n + \\sqrt{p}\\) which is enough to ensure \\(p \\geq 2n + \\sqrt{2n}\\) . \n\nAssume \\(p \\equiv 1\\) (mod 8) henceforth. Then there exists some \\(\\frac{1}{2} p < x < p\\) such that \\(x^{2} \\equiv - 1\\) (mod \\(p\\) ), and we set \n\n\\[x = \\frac{p + 1}{2} +t.\\] \n\nClaim — We have \\(t \\geq \\frac{h - 1}{2}\\) and hence may take \\(n = p - x\\) . \n\nProof. Assume for contradiction this is false; then \n\n\\[0\\equiv 4(x^{2} + 1)\\pmod{p\\] \\[\\quad = (p + 1 + 2t)^{2} + 4\\] \\[\\quad \\equiv (2t + 1)^{2} + 4\\pmod{p\\] \\[\\quad < h^{2} + 4\\] \n\nSo we have that \\((2t + 1)^{2} + 4\\) is positive and divisible by \\(p\\) , yet at most \\(\\left\\lceil \\sqrt{p}\\right\\rceil^{2} + 4 < 2p\\) . So it must be the case that \\((2t + 1)^{2} + 4 = p\\) , but this has no solutions modulo 8. \\(\\square\\)\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2008/3, proposed by Kestutis Česnavičius (LTU) \n"}} {"year": "2008", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Find all functions \\(f\\) from the positive reals to the positive reals such that \n\n\\[\\frac{f(w)^{2} + f(x)^{2}}{f(y^{2}) + f(z^{2})} = \\frac{w^{2} + x^{2}}{y^{2} + z^{2}}\\] \n\nfor all positive real numbers \\(w\\) , \\(x\\) , \\(y\\) , \\(z\\) satisfying \\(wx = yz\\) .", "solution": "The answers are \\(f(x) \\equiv x\\) and \\(f(x) \\equiv 1 / x\\) . These work, so we show they are the only ones. \n\nFirst, setting \\((t, t, t, t)\\) gives \\(f(t^{2}) = f(t)^{2}\\) . In particular, \\(f(1) = 1\\) . Next, setting \\((t, 1, \\sqrt{t}, \\sqrt{t})\\) gives \n\n\\[\\frac{f(t)^{2} + 1}{2f(t)} = \\frac{t^{2} + 1}{2t}\\] \n\nwhich as a quadratic implies \\(f(t) \\in \\{t, 1 / t\\}\\) . \n\nNow assume \\(f(a) = a\\) and \\(f(b) = 1 / b\\) . Setting \\((\\sqrt{a}, \\sqrt{b}, 1, \\sqrt{ab})\\) gives \n\n\\[\\frac{a + 1 / b}{f(ab) + 1} = \\frac{a + b}{ab + 1}.\\] \n\nOne can check the two cases on \\(f(ab)\\) each imply \\(a = 1\\) and \\(b = 1\\) respectively. Hence the only answers are those claimed.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2008/4, proposed by Hojoo Lee (KOR) \n"}} {"year": "2008", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) and \\(k\\) be positive integers with \\(k \\geq n\\) and \\(k - n\\) an even number. There are \\(2n\\) lamps labelled 1, 2, ..., \\(2n\\) each of which can be either on or off. Initially all the lamps are off. We consider sequences of steps: at each step one of the lamps is switched (from on to off or from off to on). Let \\(N\\) be the number of such sequences consisting of \\(k\\) steps and resulting in the state where lamps 1 through \\(n\\) are all on, and lamps \\(n + 1\\) through \\(2n\\) are all off. Let \\(M\\) be number of such sequences consisting of \\(k\\) steps, resulting in the state where lamps 1 through \\(n\\) are all on, and lamps \\(n + 1\\) through \\(2n\\) are all off, but where none of the lamps \\(n + 1\\) through \\(2n\\) is ever switched on. Determine \\(\\frac{N}{M}\\) .", "solution": "The answer is \\(2^{k - n}\\) . \n\nConsider the following map \\(\\Psi\\) from \\(N\\) - sequences to \\(M\\) - sequences: \n\n- change every instance of \\(n + 1\\) to 1; \n\n- change every instance of \\(n + 2\\) to 2; \n\n: \n\n- change every instance of \\(2n\\) to \\(n\\) . \n\n(For example, suppose \\(k = 9\\) , \\(n = 3\\) ; then \\(144225253 \\mapsto 111222223\\) .) \n\nClearly this is map is well- defined and surjective. So all that remains is: \n\nClaim — Every \\(M\\) - sequence has exactly \\(2^{k - n}\\) pre- images under \\(\\Psi\\) . \n\nProof. Indeed, suppose that there are \\(c_{1}\\) instances of lamp 1. Then we want to pick an odd subset of the 1's to change to \\(n + 1\\) 's, so \\(2^{c_{1} - 1}\\) ways to do this. And so on. Hence the number of pre- images is \n\n\\[\\prod_{i}2^{c_{i} - 1} = 2^{k - n}.\\]", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2008/5, proposed by Bruno Le Floch and Ilia Smilga (FRA) \n"}} -{"year": "2008", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(ABCD\\) be a convex quadrilateral with \\(BA \\neq BC\\) . Denote the incircles of triangles \\(ABC\\) and \\(ADC\\) by \\(\\omega_{1}\\) and \\(\\omega_{2}\\) respectively. Suppose that there exists a circle \\(\\omega\\) tangent to ray \\(BA\\) beyond \\(A\\) and to the ray \\(BC\\) beyond \\(C\\) , which is also tangent to the lines \\(AD\\) and \\(CD\\) . Prove that the common external tangents to \\(\\omega_{1}\\) and \\(\\omega_{2}\\) intersect on \\(\\omega\\) .", "solution": "Let \\(A B C D \n\nBy the external version of Pitot theorem, the existence of \\(\\omega\\) implies that \n\n\\[B A + A D = C B + C D.\\] \n\nLet \\(\\overline{{P Q}}\\) and \\(\\overline{{S T}}\\) be diameters of \\(\\omega_{1}\\) and \\(\\omega_{2}\\) with \\(P,T\\in \\overline{{A C}}\\) . Then the length relation on \\(A B C D\\) implies that \\(P\\) and \\(T\\) are reflections about the midpoint of \\(\\overline{{A C}}\\) \n\nNow orient \\(A C\\) horizontally and let \\(K\\) be the \"uppermost\" point of \\(\\omega\\) , as shown. \n\n![](data:image/jpeg;base64,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)\n \n\nConsequently, a homothety at \\(B\\) maps \\(Q\\) , \\(T\\) , \\(K\\) to each other (since \\(T\\) is the uppermost of the excircle, \\(Q\\) of the incircle). Similarly, a homothety at \\(D\\) maps \\(P\\) , \\(S\\) , \\(K\\) to each other. As \\(\\overline{{P Q}}\\) and \\(\\overline{{S T}}\\) are parallel diameters it then follows \\(K\\) is the exsimilicenter of \\(\\omega_{1}\\) and \\(\\omega_{2}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2008/6, proposed by Vladimir Shmarov (RUS) \n"}} +{"year": "2008", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(ABCD\\) be a convex quadrilateral with \\(BA \\neq BC\\) . Denote the incircles of triangles \\(ABC\\) and \\(ADC\\) by \\(\\omega_{1}\\) and \\(\\omega_{2}\\) respectively. Suppose that there exists a circle \\(\\omega\\) tangent to ray \\(BA\\) beyond \\(A\\) and to the ray \\(BC\\) beyond \\(C\\) , which is also tangent to the lines \\(AD\\) and \\(CD\\) . Prove that the common external tangents to \\(\\omega_{1}\\) and \\(\\omega_{2}\\) intersect on \\(\\omega\\) .", "solution": "Let \\(A B C D \n\nBy the external version of Pitot theorem, the existence of \\(\\omega\\) implies that \n\n\\[B A + A D = C B + C D.\\] \n\nLet \\(\\overline{{P Q}}\\) and \\(\\overline{{S T}}\\) be diameters of \\(\\omega_{1}\\) and \\(\\omega_{2}\\) with \\(P,T\\in \\overline{{A C}}\\) . Then the length relation on \\(A B C D\\) implies that \\(P\\) and \\(T\\) are reflections about the midpoint of \\(\\overline{{A C}}\\) \n\nNow orient \\(A C\\) horizontally and let \\(K\\) be the \"uppermost\" point of \\(\\omega\\) , as shown. \n\n![md5:86d61fcb9b2ddfb60dc8bf75f0e81517](86d61fcb9b2ddfb60dc8bf75f0e81517.jpeg)\n \n\nConsequently, a homothety at \\(B\\) maps \\(Q\\) , \\(T\\) , \\(K\\) to each other (since \\(T\\) is the uppermost of the excircle, \\(Q\\) of the incircle). Similarly, a homothety at \\(D\\) maps \\(P\\) , \\(S\\) , \\(K\\) to each other. As \\(\\overline{{P Q}}\\) and \\(\\overline{{S T}}\\) are parallel diameters it then follows \\(K\\) is the exsimilicenter of \\(\\omega_{1}\\) and \\(\\omega_{2}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2008-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2008/6, proposed by Vladimir Shmarov (RUS) \n"}} diff --git a/IMO/segmented/en-IMO-2009-notes.jsonl b/IMO/segmented/en-IMO-2009-notes.jsonl index e2a49f89e0bf20a4c1168f12c7176419ef4d69a2..1ea65baa228b731b8c593b8f2d1d4cf3d8048a48 100644 --- a/IMO/segmented/en-IMO-2009-notes.jsonl +++ b/IMO/segmented/en-IMO-2009-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2009", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(n,k\\geq 2\\) be positive integers and let \\(a_{1}\\) , \\(a_{2}\\) , \\(a_{3}\\) , ..., \\(a_{k}\\) be distinct integers in the set \\(\\{1,2,\\ldots ,n\\}\\) such that \\(n\\) divides \\(a_{i}(a_{i + 1} - 1)\\) for \\(i = 1,2,\\ldots ,k - 1\\) . Prove that \\(n\\) does not divide \\(a_{k}(a_{1} - 1)\\) .", "solution": "We proceed indirectly and assume that \n\n\\[a_{i}(a_{i + 1} - 1)\\equiv 0\\pmod {n}\\] \n\nfor \\(i = 1,\\ldots ,k\\) (indices taken modulo \\(k\\) ). We claim that this implies all the \\(a_{i}\\) are equal modulo \\(n\\) . \n\nLet \\(q = p^{e}\\) be any prime power dividing \\(n\\) . Then, \\(a_{1}(a_{2} - 1)\\equiv 0\\) (mod \\(q\\) ), so \\(p\\) divides either \\(a_{1}\\) or \\(a_{2} - 1\\) . \n\n- If \\(p \\mid a_{1}\\) , then \\(p \\nmid a_{1} - 1\\) . Then \n\n\\[a_{k}(a_{1} - 1)\\equiv 0\\pmod {q}\\implies a_{k}\\equiv 0\\pmod {q}.\\] \n\nIn particular, \\(p \\mid a_{k}\\) . So repeating this argument, we get \\(a_{k - 1} \\equiv 0\\) (mod \\(q\\) ), \\(a_{k - 2} \\equiv 0\\) (mod \\(q\\) ), and so on. \n\n- Similarly, if \\(p \\mid a_{2} - 1\\) then \\(p \\nmid a_{2}\\) , and \n\n\\[a_{2}(a_{3} - 1)\\equiv 0\\pmod {q}\\implies a_{3}\\equiv 1\\pmod {q}.\\] \n\nIn particular, \\(p \\mid a_{3} - 1\\) . So repeating this argument, we get \\(a_{4} \\equiv 0\\) (mod \\(q\\) ), \\(a_{5} \\equiv 0\\) (mod \\(q\\) ), and so on. \n\nEither way, we find \\(a_{i}\\) (mod \\(q\\) ) is constant (and either 0 or 1). \n\nSince \\(q\\) was an arbitrary prime power dividing \\(n\\) , by Chinese remainder theorem we conclude that \\(a_{i}\\) (mod \\(n\\) ) is constant as well. But this contradicts the assumption of distinctness.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2009/1, proposed by Ross Atkins (AUS) \n"}} -{"year": "2009", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with circumcenter \\(o\\) . The points \\(P\\) and \\(Q\\) are interior points of the sides \\(C A\\) and \\(A B\\) respectively. Let \\(K\\) , \\(L\\) , \\(M\\) be the midpoints of \\(\\overline{{B P}}\\) \\(\\overline{{C Q}}\\) , \\(\\overline{{P Q}}\\) . Suppose that \\(\\overline{{P Q}}\\) is tangent to the circumcircle of \\(\\triangle K L M\\) . Prove that \\(O P = O Q\\) .", "solution": "a point, we have \\(- AQ \\cdot QB = OQ^2 - R^2\\) and \\(- AP \\cdot PC = OP^2 - R^2\\) . Therefore, it suffices to show \\(AQ \\cdot QB = AP \\cdot PC\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nAs \\(\\overline{ML} \\parallel \\overline{AC}\\) and \\(\\overline{MK} \\parallel \\overline{AB}\\) we have that \n\n\\[\\angle APQ = \\angle LMP = \\angle LKM\\] \\[\\angle PQA = \\angle KMQ = \\angle MLK\\] \n\nand consequently we have the (opposite orientation) similarity \n\n\\[\\triangle APQ \\sim \\triangle MKL.\\] \n\nTherefore \n\n\\[\\frac{AQ}{AP} = \\frac{ML}{MK} = \\frac{2ML}{2MK} = \\frac{PC}{QB}\\] \n\nid est \\(AQ \\cdot QB = AP \\cdot PC\\) , which is what we wanted to prove.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2009/2, proposed by Sergei Berlov (RUS) \n"}} +{"year": "2009", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with circumcenter \\(o\\) . The points \\(P\\) and \\(Q\\) are interior points of the sides \\(C A\\) and \\(A B\\) respectively. Let \\(K\\) , \\(L\\) , \\(M\\) be the midpoints of \\(\\overline{{B P}}\\) \\(\\overline{{C Q}}\\) , \\(\\overline{{P Q}}\\) . Suppose that \\(\\overline{{P Q}}\\) is tangent to the circumcircle of \\(\\triangle K L M\\) . Prove that \\(O P = O Q\\) .", "solution": "a point, we have \\(- AQ \\cdot QB = OQ^2 - R^2\\) and \\(- AP \\cdot PC = OP^2 - R^2\\) . Therefore, it suffices to show \\(AQ \\cdot QB = AP \\cdot PC\\) . \n\n![md5:4a226537cbada02b5d8d3407bff8744a](4a226537cbada02b5d8d3407bff8744a.jpeg)\n \n\nAs \\(\\overline{ML} \\parallel \\overline{AC}\\) and \\(\\overline{MK} \\parallel \\overline{AB}\\) we have that \n\n\\[\\angle APQ = \\angle LMP = \\angle LKM\\] \\[\\angle PQA = \\angle KMQ = \\angle MLK\\] \n\nand consequently we have the (opposite orientation) similarity \n\n\\[\\triangle APQ \\sim \\triangle MKL.\\] \n\nTherefore \n\n\\[\\frac{AQ}{AP} = \\frac{ML}{MK} = \\frac{2ML}{2MK} = \\frac{PC}{QB}\\] \n\nid est \\(AQ \\cdot QB = AP \\cdot PC\\) , which is what we wanted to prove.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2009/2, proposed by Sergei Berlov (RUS) \n"}} {"year": "2009", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Suppose that \\(s_{1},s_{2},s_{3},\\ldots\\) is a strictly increasing sequence of positive integers such that the sub-sequences \\(s_{s_{1}}\\) , \\(s_{s_{2}}\\) , \\(s_{s_{3}}\\) , ...and \\(s_{s_{1} + 1}\\) , \\(s_{s_{2} + 1}\\) , \\(s_{s_{3} + 1}\\) , ...are both arithmetic progressions. Prove that the sequence \\(s_{1}\\) , \\(s_{2}\\) , \\(s_{3}\\) , ...is itself an arithmetic progression.", "solution": "We present two solutions. \n\n\\(\\P\\) First solution (Alex Zhai). Let \\(s(n):= s_{n}\\) and write \n\n\\[s(s(n)) = Dn + A\\] \\[s(s(n) + 1) = D^{\\prime}n + B.\\] \n\nIn light of the bounds \\(s(s(n))\\leq s(s(n) + 1)\\leq s(s(n + 1))\\) we right away recover \\(D = D^{\\prime}\\) and \\(A\\leq B\\) \n\nLet \\(d_{n} = s(n + 1) - s(n)\\) . Note that \\(\\sup d_{n}< \\infty\\) since \\(d_{n}\\) is bounded above by \\(A\\) \n\nThen we let \n\n\\[m:= \\min d_{n},\\qquad M:= \\max d_{n}.\\] \n\nNow suppose \\(a\\) achieves the maximum, meaning \\(s(a + 1) - s(a) = M\\) . Then \n\n\\[\\underbrace{d_{s(s(a))} + \\cdot\\cdot\\cdot + d_{s(s(a + 1)) - 1}}_{D\\mathrm{~terms}} = \\underbrace{\\left[s(s(s(a + 1))) - s(s(s(a)))\\right]}_{D\\mathrm{~terms}}\\] \\[\\qquad = (D\\cdot s(a + 1) + A) - (D\\cdot s(a) + A) = DM.\\] \n\nNow \\(M\\) was maximal hence \\(M = d_{s(s(a))} = \\dots = d_{s(s(a + 1)) - 1}\\) . But \\(d_{s(s(a))} = B - A\\) is a constant. Hence \\(M = B - A\\) . In the same way \\(m = B - A\\) as desired. \n\n\\(\\P\\) Second solution. We retain the notation \\(D\\) , \\(A\\) , \\(B\\) above, as well as \\(m = \\min_{n}s(n+\\) \\(1) - s(n)\\geq B - A\\) . We do the involution trick first as: \n\n\\[D = \\left[s(s(s(n) + 1)) - s(s(s(n)))\\right] = s(Dn + B) - s(Dn + A)\\] \n\nand hence we recover \\(D\\geq m(B - A)\\) \n\nThe edge case \\(D = B - A\\) is easy since then \\(m = 1\\) and \\(D = s(Dn + B) - s(Dn + A)\\) forces \\(s\\) to be a constant shift. So henceforth assume \\(D > B - A\\) \n\nThe idea is that right now the \\(B\\) terms are \"too big\", so we want to use the involution trick in a way that makes as many \" \\(A\\) minus \\(B\\) \" shape expressions as possible. This motivates considering \\(s(s(s(n + 1))) - s(s(s(n) + 1) + 1) > 0\\) , since the first expression will have all \\(A\\) 's and the second expression will have all \\(B\\) 's. Calculation gives: \n\n\\[s(D(n + 1) + A) - s(Dn + B + 1) = \\left[s(s(s(n + 1))) - s(s(s(n) + 1) + 1)\\right]\\] \\[\\qquad = (D s(n + 1) + A) - (D(s(n) + 1) + B)\\] \\[\\qquad = D(s(n + 1) - s(n)) + A - B - D.\\]\n\n\n\nThen by picking \\(n\\) achieving the minimum \\(m\\) , \n\n\\[\\underbrace{m(D + A - B - 1)}_{>0}\\leq s(s(s(n + 1))) - s(s(s(n) + 1) + 1)\\leq Dm + A - B - D\\] \n\nwhich becomes \n\n\\[(D - m(B - A)) + ((B - A) - m)\\leq 0.\\] \n\nSince both of these quantities were supposed to be nonnegative, we conclude \\(m = B - A\\) and \\(D = m^{2}\\) . Now the estimate \\(D = s(Dn + B) - s(Dn + A)\\geq m(B - A)\\) is actually sharp, so it follows that \\(s(n)\\) is arithmetic.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2009/3, proposed by Gabriel Carroll (USA) \n"}} -{"year": "2009", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with \\(A B = A C\\) . The angle bisectors of \\(\\angle C A B\\) and \\(\\angle A B C\\) meet the sides \\(B C\\) and \\(C A\\) at \\(D\\) and \\(E\\) , respectively. Let \\(K\\) be the incenter of triangle \\(A D C\\) . Suppose that \\(\\angle B E K = 45^{\\circ}\\) . Find all possible values of \\(\\angle C A B\\) .", "solution": "Here is the solution presented in my book EGM0. \n\nLet \\(I\\) be the incenter of \\(A B C\\) , and set \\(\\angle D A C = 2x\\) (so that \\(0^{\\circ}< x< 45^{\\circ}\\) ). From \\(\\angle A I E = \\angle D I C\\) , it is easy to compute \n\n\\[\\angle K I E = 90^{\\circ} - 2x, \\angle E C I = 45^{\\circ} - x, \\angle I E K = 45^{\\circ}, \\angle K E C = 3x.\\] \n\nHaving chased all the angles we want, we need a relationship. We can find it by considering the side ratio \\(\\frac{I K}{K C}\\) . Using the angle bisector theorem, we can express this in terms of triangle \\(I D C\\) ; however we can also express it in terms of triangle \\(I E C\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHLApQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqSatYyazJpKXCtfRQLcPCOqoxIBPbkg8Uuq6jFpOmzXk3Kxj5VBwXYnCqPqSBXAaM9vF8Yo3juUuJb3QXNxKmcPMs4PfsA+B6AAdqAPS6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDEvba6i1qPVr7VrKLSLNHbyJLcpsYjHmNKZMZA3D7uMMe/NZh0s+IfFOl+K9K16wls7SKSFEhg80Sq+3cDIJMZBXjjjvmrPj3wsfGXg690Vbs2rzbXWXGRlWDAMMjIOP69q5D4Hab/YHhmXTLiVjdXQi1NFz8rQzRJtK/Qqyt7gdiKAPVKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBr/wCrb6GuF02xuP8AhXnhTWdOiMmpabplu6Rr1uIjEnmQ/wDAgAR/tKprun/1bfQ1h+B/+RA8Of8AYLtv/RS0Aa1hfW+pWFvfWkglt7iMSRuO6kZFWK5mx/4p3xK+lt8um6o7z2R7RT8tLF9G5kX/ALaegrpqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiqV5q1jp93Y2t1cLHPfSmK2Q8mRgpY/oDz06eoq7QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA1/8AVt9DWH4H/wCRA8Of9gu2/wDRS1uP/q2+hrD8D/8AIgeHP+wXbf8AopaALuu6SutaVJaeYYZgRJbzqPmhlU5Rx9CBx3GR3qPw/qzavpgknjEN9A5gvIAc+VMv3gPY8MD3Vge9atczrH/FP67Fr6cWN1sttTHZecRTf8BJ2sf7rAnhKAOmooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkd1jRndgqKMsxOAB60tZOuabqOpxwwWmoW9tbb1a4jltTKZlBBKZDrgEDB4OQaAOA8T6laX2seFNZWdWuTr0EUUZBBit3V0/AsWDH6gH7teq1zXizQJ/FVnbWtpqdvai0vI7lmNuZmEkbBlHDrj369e1dHGJBEglZWkCjcyrtBPcgZOB7ZNADqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAa/8Aq2+hrD8D/wDIgeHP+wXbf+ilrcf/AFbfQ1y3h62ur34T6Ta2V19luptEhjinxny2MCgNx6HmgDqVdWLBWBKnBAPSmXNvDeWsttcRrLBMhjkjYZDKRgg+2K4PVNN+yeL/AAja6RFDHqkJMmoy20XlobTYQ28Dsz42g55Bx0JrotS8SPp9xZJ9geRL28NjAd+1jKFc5KkcJ8jfNnPcAigBnhm4mtHuPDt9I0l1p4Bglc5NxbHPlvnuwwUb3XP8Qroq5TURqF/ptr4ht9NmttX06SQrauQWnh3FZI8+jqoZc4+YITXR2N9b6lYW99aSCW3uIxJG47qRkUAWKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqupLv0u8X7SbXMDj7QOsXyn5vw6/hVque8Uk34svDyHnU5CLjHa2TBl/BsrH/20oA8j+AegX+keJNWmvLlkWW0Xy4Of32WBLnPQqCoI6jzK99rz4qbFdS16Jfm0rWZpJQo+9bMiLMPwXD49YxXoCsGUMpBUjII70ALRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADX/1bfQ1zvhI3K/DTQjZpE9yNIt/KWZiqFvJXG4gEgZ9Aa6J/9W30NYfgf/kQPDn/AGC7b/0UtAGPomneN7e9QahH4fjhmmWW9ura4meeXHOAGjAxwFxnAXOKsPpHiK81nR9Svzp0jaa9wwiiZ0VzIGVGyQcFUIGO+5jxgA9dRQBFbJMlui3Egkmxl2AwM+w9B0Fc9Y/8U74lfS2+XTdUd57I9op+Wli+jcyL/wBtPQV01Z2u6SutaVJaeYYZgRJbzqMtDKpyjj6EDjuMjvQBo0VleH9WbV9MEk8YhvoHMF5ADnypl+8B7Hhge6sD3rVoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK53Qf8AiaaxqeutzEX+w2f/AFyiYh2H+9Ju+oRDVnxPfT2ejNFZNt1C9dbS0P8Adkfjd9FG5z7Ia0NPsYNL022sLVdsFtEsUY/2VGBQBjeGkSU+II5FDI2qTKykZBBROKd4Ud7azuNDmYtNpMv2dSxyXgI3Qt7/ACEKT/eRqPC/+t17/sKy/wDoKU3V/wDiVeJNN1kcQXONOvD2wxzCx+khKf8AbY0AdFRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADX/ANW30NYfgf8A5EDw5/2C7b/0Utbj/wCrb6GsPwP/AMiB4c/7Bdt/6KWgDeooooAKKKKAOZ1f/in9di19OLG62W2pDsvOIpv+Ak7WP91gTwldNUVzbw3lrLbXEaywTIY5I2GQykYIPtisPw1cTWj3Hh2+laS608AwSucm4tjny3z3YYKN7rn+IUAdDRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFUdY1OPR9HutQlUusEZYRr1kboqj3JwB7mgDLh/4m/jSWbra6NH5KehuZAC5/4DGVH/AG0Ydq6Ksvw7pkmlaJBb3DB7t9011IOjzOSzke24nHoABWpQBz/hf/W69/2FZf8A0FK1NW02HV9JutOnJEdxGYyy9VJ6MPcHBHuKy/C/+t17/sKy/wDoKV0FAGT4c1KbU9EhkugFvYS1vdqOizIdr49iRkexBrWrnV/4lHjVk6WutR7x6C6iXB/F4gD/ANsT610VABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUANf8A1bfQ1h+B/wDkQPDn/YLtv/RS1uP/AKtvoaw/A/8AyIHhz/sF23/opaAN6iiigAooooAKwfEtjcbLfWdOiMmo6aS6Rr1uIjjzIf8AgQAI/wBpVNb1FAFexvrfUrC3vrSQS29xGJI3HdSMirFczY/8U74kfS2+XTdUd57I9op+Wli+jcyL/wBtPQV01ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzuqf8TbxRp+kjm3sgNRu/QkEiBT9XDP/wBsh61vyyxwQvNK4SONSzsxwFA5JNYfhOKSawm1m4QrcatL9qKsOUiwBEntiMLkf3i3rQBv0UUUAc/4X/1uvf8AYVl/9BSugrn/AAv/AK3Xv+wrL/6CldBQBj+JtPnv9FkNmB9vtXW6tMnH71DuUfRuVPsxq9pmoQarpdrqFsSYbmJZUzwQCM4I7EdCKtVzuif8SrXtT0M8Qux1CzH+xI37xR/uyZPsJFFAHRUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADX/1bfQ1h+B/+RA8Of8AYLtv/RS1uP8A6tvoaw/A/wDyIHhz/sF23/opaAN6iiigAooooAKKKKAM7XNJXWtKktPMMMwIkt51GWhlU5Rx9CBx3GR0NR+H9WbV9MEk8YhvoHMF5ADnypl+8B7Hhge6sD3rVrmdX/4p/XYtfTixutltqQ7LziKb/gJO1j/dYE8JQB01FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHO+Kib8WXh5DzqchFxjtaphpfwbKx/8AbSuiAAGAMAVzug/8TTWdT15uYi/2GzP/AEyiYh2H+9Ju+oRDXRUAFFFFAHP+F/8AW69/2FZf/QUroK5/wv8A63Xv+wrL/wCgpXQUAFc94rU2UNpr8YO/SpDJNjq1s3yzD8Fw/wBYxXQ010SWNo5FDIwKsrDIIPY0AKrBlDKQVIyCO9LXP+E3e2s7jQ5mLTaTL9nUscl4CN0Le/yEKT/eRq6CgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAa/wDq2+hrD8D/APIgeHP+wXbf+ilrcf8A1bfQ1h+B/wDkQPDn/YLtv/RS0Ab1FFFABRRRQAUUUUAFRXNvDeWsttcRrLBMhjkjYZDKRgg+2KlooA57w1cTWj3Hh2+kaS608AwSucm4tjny3z3YYKN7rn+IV0NYPiWyuNlvrOnRGTUdNJdI163ERx5kP/AgAR/tKta1je2+pWFvfWkglt7iMSRuO6kZFAFiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKxvFF9PZ6M0Vk23UL11tLQ/wB2R+N30UbnPshrZrnYf+Jv40lm62ujR+SnobmRQXP/AAGMqP8Atow7UAbOn2MGl6bbWFqu2C2iWKMf7KjAqzRRQAUUUUAc/wCF/wDW69/2FZf/AEFK6Cuf8L/63Xv+wrL/AOgpXQUAFFFFAHO6v/xKvEmm6yOILnGnXh7YY5hY/SQlP+2xroqp6tpsOsaTd6dOSI7iIxll6qT0Ye4OCPcVV8N6lNqeiQyXQC3sJa3u1HRZkO18exIyPYigDWooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAa/wDq2+hrD8D/APIgeHP+wXbf+ilrcf8A1bfQ1h+B/wDkQPDn/YLtv/RS0Ab1FFFABRRRQAUUUUAFFFFABXM2P/FO+JH0tvl03U3eeyPaKflpYvo3Mi/9tPQV01Z2uaSutaVJaeYYZgRJbzqMtDKpyjj6EDjuMjoaANGisvw/qzavpgknjEN7A5gvIAc+VMv3gPY8MD3Vge9alABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBR1jU49G0e71CVS6wRlhGvWRuiqPcnAHuah8O6ZJpWiQW9wwe7fdNdSDo8zks5HtuJx6DAqjqn/E28UadpI5t7IDUbsdiQSIFP1cM/wD2yHrXRUAFFFFABRRRQBz/AIX/ANbr3/YVl/8AQUroK5/wv/rde/7Csv8A6CldBQAUUUUAFc6v/Eo8asnS11qPePQXUS4P4vEAf+2Jroqx/E2nz6hoshswPt9q63Vpnj96h3Kv0blT7MaANiiqumahBq2l2uoWxJhuYllTIwQCM4I7EdCKtUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUANf/Vt9DWH4H/5EDw5/wBgu2/9FLW4/wDq2+hrD8D/APIgeHP+wXbf+iloA3qKKKACiiigAooooAKKKKACiiigDmdX/wCKf12LX04sbrZbakOy84im/wCAk7WP91gTwldNUVzbw3lrLbXEaywTIY5I2GQykYIPtisPw1cTWj3Hh6+kaS608AwSucm4tjny3z3YYKN7rn+IUAdDRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTJZY4IXmldUjjUs7McBQOSTT653xUTfiy8PJ11OQi4x2tUw0v4NlY/8AtpQA7wnFJNYTazcIVuNWl+1FWHKRYAiT2xGFyP7xb1roKAABgDAFFABRRRQAUUUUAc/4X/1uvf8AYVl/9BSugrn/AAv/AK3Xv+wrL/6CldBQAUUUUAFFFFAHO6H/AMSrXtT0NuIXY6hZj/Ykb96o/wB2TJ9hKoroq57xWpsobTxBGDv0qQyTY6tbN8sw/BcPj1jFdArBlDKQVIyCO9AC0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA1/8AVt9DWH4H/wCRA8Of9gu2/wDRS1uP/q2+hrD8D/8AIgeHP+wXbf8AopaAN6iiigAooooAKKKKACiiigAooooAKwfEtlcbLfWdOjMmo6aS6Rr1uIjjzIf+BAAj/aVa3qKAK9je2+pWFvfWkglt7iMSRuO6kZFWK5mx/wCKd8SPpjfLpupu89ke0U/LSxfRuZF/7aegrpqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK53QP+JprOp683MTP9hsz/wBMomIdh/vSbvqEQ1Z8UX09nozRWTbdQvZFtLQ/3ZH43fRRuc+yGtDT7GDS9NtrC1XbBbRLFGD/AHVGBQBZooooAKKKKACiiigDn/C/+t17/sKy/wDoKV0Fc/4X/wBbr3/YVl/9BSugoAKKKKACiiigBsiJLG0cihkYFWVhkEHqDWB4Td7azuNDmYtNpMv2dSxyXgI3Qt7/ACEKT/eRq6Gud1j/AIlPiTTdZHEFzjTrz0wxzCx+khKf9tjQB0VFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUANf/Vt9DWH4H/5EDw5/2C7b/wBFLW4/+rb6GsPwP/yIHhz/ALBdt/6KWgDeooooAKKKKACiiigAooooAKKKKACiiigDO1zSV1nSpLTzDDMCJLedRloZVOUcfQgcdxkdDTPD+rNq+mCSeMQ3sDmC8gBz5Uy/eA9jwwPdWB71qVzOr/8AFP67FrycWN1sttSHZecRTf8AASdrH+6wJ4SgDpq8/vL1J/ild2U+sXFppllpizXMf21olM7udv8AEMAIpPGOtd5NMsELyuHKoMkIhdvwVQSfwFeceHltLubxXf67pOpB9VvnRFk0m4LfZkQRx/8ALM4yAT+NAHWaXYONTtNTs76/k024smJguJ2kUMxjZGAYkg7d461v1kaFfTalFPdfZbi0s9witYLiAxPtXguVYBlycgA9lB71r0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVR1nU49G0e71GVS6wRlhGvWRuiqPcnAHuaAMqH/ib+NZZutro0fkp6G5kUFz9VjKj/tow7V0dZXh3TJNJ0SC3uGD3j7prqQdHmclpCPbcTj0GBWrQAUUUUAFFFFABRRRQBz/AIX/ANbr3/YVl/8AQUroK5/wv/rde/7Csv8A6CldBQAUUUUAFFFFABVLVtNh1jSLvTpyVjuIjGWXqpPRh7g4I9xV2igDJ8N6lNqmiQy3QC30Ja3u1HRZkO18exIyPYitaucX/iT+NWTpa61HvHoLqJcH8XiAP/bE10dABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUANf/Vt9DWH4H/5EDw5/wBgu2/9FLW4/wDq2+hrD8D/APIgeHP+wXbf+iloA3qKKKACiiigAooooAKKKKACiiigAoorI1TxHZaZcLZqst5qTrujsbVd8pHqecIv+0xA96ANeuK8X6w+t6Dq+g+HEN9fy28lvLMmPs9tkEN5kh+XOM/KMsO4A5rQ/sbVde+fxBci3sz00yykIVh6Sy8M/wDurtXsd1L4qjj0/wAGzabp0UdsboJp9skKhRGZmEeVA4G0MW/CgDgPgPH4htLbUbfXru4KTwwXdlb3MhdvLffmRck4U8ZHr1xnn2Oue17TJLe0s9S0mDN7pIzFCn/LaDAEkP4qAR/tKtbNje2+pWFvfWkolt7iMSRuO6kZFAFiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuc1X/ibeKdO0kc29kBqN2OxIJECn6uGf/tkPWuglljgheaV1SONSzsxwFA5JNYXhKKSbT59ZuEZbjVpftRVhgpFgCJPbEYXI/vFvWgDoKKKKACiiigAooooAKKKKAOf8L/63Xv8AsKy/+gpXQVz/AIX/ANbr3/YVl/8AQUroKACiiigAooooAKKKKAMfxPp8+oaLIbMD7faut1Z5OP3qHcq59G5U+zGrumahBq2l2uoWxJhuYllTIwQCM4I7EdCKt1zmh/8AEq17U9DbiF2OoWY/2JG/eqP92TJ9hKooA6OiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAa/+rb6GsPwP/wAiB4c/7Bdt/wCilrcf/Vt9DWH4H/5EDw5/2C7b/wBFLQBvUUUUAFFFFABRRRQAUUVDdXVvY2slzdzxQW8Y3PLK4VVHqSeBQBNVHVNZ0/RbdZr+5WIO22NACzyt/dRBlmPsATWR/bGq698mgW32WzPXU72MgMP+mURwz/7zbV7jcKvaX4cstMuGvGMt5qLjbJfXTb5WHoD0Rf8AZUAe1AFH/if+IevmaFpp/wB1ryUfqsQP/Am/3TWvpej6fo1u0NhbLEHbdI+SzyN/edjlmb3JJq9RQAVzuq/6d4x0Ow6x2izajKPcL5UYP1Mrkf7ldFXO6D/pviPxBqh5UTR6fCf9iFct/wCRJJB/wGgDoq5qx/4p7xI+mN8unam7z2R7RT8tLF9G5kX/ALaegrpaztc0ldZ0qS08wwzAiS3nUZaGVTlHH0IHHcZHQ0AaNFZegas2r6YJJ4xDewOYLyAHPlTL94D2PDA91YHvWpQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHO+Kib8WXh5DzqchFxjtaphpfwbKx/9tK6IAAYAwBXOaB/xNNZ1PXm5iL/AGGzP/TKJiHYf70m76hENdHQAUUUUAFFFFABRRRQAUUUUAc/4X/1uvf9hWX/ANBSugrn/C/+t17/ALCsv/oKV0FABRRRQAUUUUAFFFFABXO+LFNlDaeIIwd+lSGSbHVrZvlmH4Lh8esYroqbIiSxtHIoZGBVlYZBB6g0AKrBlDKQVIyCO9JIxSJ3CM5UEhFxlvYZwM1geEne2s7nQpmLTaTL9nUscl4CN0Le/wAhCk/3kar/AIh1VdD8N6nqr4xaW0kwB7lVJA/E4FAGfpfi+LWbWS50/SdSnhjmeFnCxr86HDAZcZweMjitTSNVh1nTxeQxTxL5kkRSePY6sjlGBH1U1yPgfSdd0fw74ZsHNstmsLT3hUN5hZ1L4JPH33yfpXaWJtns45bT/UTZmU8/NvJYnn1JJ/GgCxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADX/ANW30NYfgf8A5EDw5/2C7b/0Utbj/wCrb6GsPwP/AMiB4c/7Bdt/6KWgDeooooAKKKKACisXUvEtrZXZ0+1il1HVMA/Y7UBmUHoZGPyxr7sRntnpVT+wL/W/3niW5U255Gl2jEQfSR+Gl+h2r/snrQA+XxO19M9r4ctRqcykq9yX2WkJ77pOdxH91Ax9dvWnWvhhZbqO+126Oq3sZ3Rh0228B/6ZxZIB/wBpize/at2GGK3hSGGNI4kAVERQFUDoAB0FPoAKwvFviRPC+iSX3kG4l3KqQg4zlgu4nso3DJ9wOpFbteb/ABEuLtPCOsz3elXYZ5oYo5t8JRIxOm0D95u+Y8njqQDwooA6nxDreraXd2VtpGhHV5bhZHkQXaQGNUKDOX4PLjjNOu9T1KDRrWa7ittOubiZYpGMnnR2wOcEthck4C+m5h1HVsslvqXiK0tbrTb6OZLKSbczqIlVnUFG2sdzfKDjkY98VS8EXdzf2mu210zz2lpq1xaWskpLl4VxwSfvbWLLk5+7jtQBetNa+z6dq9ze3MVxBppYm6iUKHVYw7Z5xuGSDjjjtyBJ4SsprDwtp8VyMXUkfn3I/wCm0hMkn/jzNVTxbFG+kWWiQoqLqV5FabEGB5QPmSjH/XONx+NdLQBSOsaYLtbU39sJ2fy1jMgyX/uj1bg8dau15z4x0uz0jRNO06TzrPQU1SK5ub95TK0RMu8AZOVBchd3Rc9K6XxNrt7oWm3OoRW0bxW8kMaxPndcs7quFIPy/eABIOTngAZIBHq//FP65FrycWN1sttSHZecRTf8BJ2sf7rAnhK6Wsu1iv76HULPW7S0a2c+VH5ZJE0bIN25TnHJZevIGeKpeGria0e48PX0jSXWngGGVzk3Fsc+W+e7DBRvdc/xCgDoaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsXxRfz2WjNFZNt1C9kW0tD/dkfjd9FG5z7Ia2q5yH/AInHjWWbra6NH5KehuZFBc/8BjKj/towoA2tOsINL022sLVdsFtEsUY/2VGBVmiigAooooAKKKKACiiigAooooA5/wAL/wCt17/sKy/+gpXQVz/hf/W69/2FZf8A0FK6CgAooooAKKKKACiiigAoorBvvEZa8k0zQ7YajqKHbLhtsFsf+msnOD/sDLH0A5oA5b4heNdN+H3iTStWuElme9hktri3hA3PGpDI/JAyrMwA7+Y3pW/qWnaf8RvCMGzUr2HStQiSUrb+WpkUkMA25GIwRggY7g1y/ivwBa+J9T0ew168nvtRuGmmknQmNIIUTBWKMHCjzHhyTljjk9Mdn4OmR/C1lbiFLeWyT7FNBHwsckXyMB7ZXI9QQe9ACX/hqfUbU2tx4i1b7M/EscYt08xe6kiIMAehwQcd63QAqhVAAAwAO1LRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA1/9W30NcN4P8V2Vj4I0CPULTUbONNNt1+0y2jmEgRr829QQq98tiu5f/Vt9DWH4H/5EDw5/wBgu2/9FLQBs29zBeW8dxbTRzQSDckkbBlYeoI4IqWuR123i8IRzeI9NaO2tkO+/stwSK4XuyA8LN3GPv8AQ8kEWBqWteIBjR4G0ywb/mIXsX71x6xQnkf70mP91hQBq6rrmn6KkZvJ8SynbDBGpeWZvREXLMfoOO9Zfka94g5unk0TTj/ywhcG7lH+3IMiL6Jlv9odK0dK8P2GkSSTxLJNeyjE15cv5k0vsWPQeijCjsBWpQBT03SrHR7QWun2sdvDksQg5Zj1Zj1YnuTkmrlFFABRRRQAVT1DSNN1eNY9S060vUU5VbmFZAPoGB9BVyigClJpGny28VubOFYogRGqLs2A9QuMYB9qsW1rb2VtHbWsEcEEY2pHGoVVHoAOlS0UAc7L/p/xAgj6x6VYtK3/AF1nbav4hYpP++66I8jFc74U/wBLOr6weft1/IIz/wBMosQrj2Pls3/A66KgDh7rwA134Tg8IyXijRElVpWIdp5kWTzNhZmIBLYy35KO2lqvhnUNVuMzazm3iv4b62gNuMIY9uIyQQWXILZ65I7Lg9NRQBBawSwo5mnM0juXY4wo4AwoycDAH45PesnxLZXGy31nTozJqOmkuka9biI48yH/AIEACP8AaVa3aKAK9je2+pWFve2kolt7iMSRuO6kZFWK5qx/4p7xI+mN8unam7z2R7RT8tLF9G5kX/tp6CuloAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAo6zqcejaPd6jKpdYIywjXrI3RUHuxwB7moPDmmSaTocFvcMHvH3TXUg6PM5LSEe24nHoMCqOq/8TbxTp2kDm3sgNRux2JBIgU/Vwz/APbIetdHQAUUUUAFFFFABRRRQAUUUUAFFFFAHP8Ahf8A1uvf9hWX/wBBSugrn/C/+t17/sKy/wDoKV0FABRRRQAUUUUAFU9S1Sx0ezN3f3CQQghQW5LMeiqByzHsBkmsu88RvNdy6boFuuoX0Z2zSFttvan/AKaOOrf7C5b1wOal03w4lveDUtSuG1LVcEC4lXCwg9ViTpGPzY9yaAKTQ6z4oQidrjRNJYYEaNtvJx6sw/1K+wy3qV5FQ6LfQ+E7eDQdXjhso4z5drfKgjt7odskcJKe6nG48rnOB11RzxRTwPFPGkkLgh0kUFSPQg9qAMOwP27xrqt31jsbeGyQ+jt+9k/NWh/KmL/xJ/GzJ0tdbj3j0F1EuD+LxAH/ALYn1qPwDZW1r4VintbeO3hv5pb1I40CqscjkxgAdMR7B+FX/E+nz6hokhsgP7QtXW6s8nH71DuVc+jcqfZjQBsUVU0zUINW0u11C2JMNzEsqZGCARnBHYjoRVugAooooAKKKKACiiigAooooAKKKKACuM+IU9ysOh2Wn3lza32oanFarJbzMhWM/NK2AcHCIeoOM8V2dcLeySap8V9GZrK/FhpdpO6XDWUoja5kITbuK44QMc5xz1oA3tf1vTPBnhifUdQlmFpbgDlmlkcscAAsck5Pc/oK5DwB4yk17wTpNh4asGmubK0htbq4vP3cFu6IoOcZZzxkBe3UrXb+ItB0/wAS6Fc6VqkPnWkwG5QxUgg5BBHQggVxfgTwWmkeCNHvvDd7LYXt1Zw3NwkxM0Fw7RqTvQnjrgFCpHHXpQB1dj4ZhS8j1DVrl9V1JDlJp1AjhP8A0yjHyp9eW9WNbtc9beJxb3Mdlr9r/Zd27bI5GffbTn/pnLgDJ/usFb0B610NABRRRQAUUUUAFFFFABRRRQAVmeI9SbR/Dmo38Y3TQwM0S/3pMYRfxYgfjWnXO+Jv9M1DQtIHIuL0XMw/6ZwDzM/9/BEPxoA09E01dH0Kw01DuFrbpDu/vFVAJ+pPP41foooAKKKKACiiigDO1zSV1nSpLTzDDMCJLedRloZVOUcfQgcdxkdDTNA1VtX0wSTxiG9gcwXkAOfKmX7wHseGB7qwPetSua1f/iQa5FrycWN1sttSHZecRTf8BJ2sf7rAnhKAOlooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmSyxwQvNK6pHGpZ2Y4Cgckmn1znism/Fl4dQ86pIRcY7WqYaX8Gysf/AG0oAf4Sikm0+fWrhGW51aX7UVYYKRYAiT2xGFyP7xb1roKAAAABgDtRQAUUUUAFFFFABRRRQAUUUUAFFFFAHP8Ahf8A1uvf9hWX/wBBSugrn/C/+t17/sKy/wDoKV0FABRRXPXXiKW7upNP8OwJfXcbbJrhyRbWx7h2H3mH9xefUr1oA1NU1ax0a0+039wsUZYKowWaRj0VVHLMewAJrF+zax4m5vvO0jST0tY3xdXA/wCmjqf3an+6p3erDlaelhpnh4nW9e1NJ7/Gw314wQJn+CJeiA+i8nuWNO/4SS9vh/xJdAvLpD0uLz/RIT/32PMP1CEUAbdnZWunWkdpZW8VvbxDakUShVUewFT1z4g8XXPMl/o9ip6pFayXDD6OzoP/AB2j+xddblvFdyp9I7OAD9VP86AOgrD8X3EsHhW+S3bbc3KraQMOokmYRKfwLg/hUf8AZfiWLmHxLDIfS705XH/jjpWDrNz4m/4SDRNPubCx1FYpJNQYWMpid1iXYBsk+UfPKjD5+dtAHc21vFaWsNtCu2KFFjRfRQMAVLWHa+LNMmuks7vz9NvZDhLe/jMJc+iMfkc/7jGtygDnND/4lWvanobcQux1CzHbZI371R/uyZPsJVFdHXO+LFNlDaeIIwd+lSmSbHVrZvlmH4Lh/rGK6FWDKGUgqRkEdDQAtFFFABRRRQAUUUUAFFFFABRRRQAUUUUANf8A1bfQ1heCCF+H/hwkgAaVbEk/9clrdf8A1bfQ1w3g7wjpF54J0Ca/S5vg+nWzmG7u5ZYRmNTgRM2zH/AaALup3a+Mo5tE0oiXTJMx6hqAGY9n8UUR6O56FhwnPO7AqwNE1PQAG8O3Ims1/wCYXfSMUA9IpeWT6HcvYBetdJHGkUaxxoqIowqqMAD0Ap1AGPpfiOz1G5NlIktlqSruexu1CSgdyvJDr/tKSPetiqOqaPYazbCDULZJkVtyNyHjb+8jDBVvcEGsjbr/AIe+4ZNd00fwsVW8iHseFlH12t7saAOloqhpWtafrUDS2FwJPLO2WMgrJE3910OGU+xAq/QAUUUUAFFFFABXO2f+n+PNRuesem2kdmh9JJD5sn/jogroSQoJJAA5JNc94KBm0D+1GB36rPJf8/3Hb93+UYjH4UAdFRRRQAUUUUAFFFFABUVzbw3drLbXEaywTIY5I2GQykYIPtipaKAOe8NXE1o9x4evZGkutPAMMrnJntjny3z3YYKN7rn+IV0NYXiSyuNlvrOnRmTUdOJdI163ERx5kP8AwIAEf7SrWrY3tvqVhBe2kglt54xJG47qRkUAWKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuc0D/AImms6przcxF/sNmf+mUTEOw/wB6Td9QiGrPim/nstFaKybbqF7ItpaH+7I/G76KNzn2Q1o6dYQaXptrYWq7be2iWKMf7KjAoAs0UUUAFFFFABRRRQAUUUUAFFFFABRRRQBz/hf/AFuvf9hWX/0FK0tV1ix0a2E99PsDNsjRVLPK3ZUUZLN7AGuP0TWry5vNdstAtUuZjqkpe9lJ+zQDao5I5kbg/Iv4lciul0vw9Bp9y2oXU8l/qjrte9uMblHdUUcRp7L17knmgCj9i1bxL82pmXS9KPSxikxPOP8AptIp+Qf7CHPq3VaZBqUt7GNM8H2ttDYwfujqDR/6NFjgrCgx5rD2IUHuSCtIWk8ayMiO8fhtCVZ1JDaiR1APaH3H3/8Ad+91EUUcEKQwxpHFGoVERQFUDoAB0FAGTp3hmxsboX05lv8AUsc3t4Q8g9Qn8MY9kAFbNFFABRRRQAVz2l/6b4x1u96paJDp8fswXzXI+vmoD/uVvu6xozuwVVBJJ6AVheC0ZvDMF7IpEuovJfuD1HnMXUH6Kyr+FAGzd2dtf2slteW8VxbyDDxSoHVh7g8GsBtF1PQv3vh64M9qOW0u8kJTHpFIctGfY7l7AL1rpaKAMrS9ZstdgnhCPHPH8l1ZXK7ZYiR0Ze4PYjKnsTVPwk721nc6FMxabSZfs6ljkvARuhb3+QhSf7yNVrWdCTUnivLWb7HqtuCLe8RckDujj+ND3U/UYIBHOJrLReJbO/u4BZ3qldM1W33ZADkm3mU/xIZNyqf+mpBwVIAB3VFFFABRRRQAUUUUAFFFFABRRRQAUUUUANf/AFbfQ1h+B/8AkQPDn/YLtv8A0Utbj/6tvoaw/A//ACIHhz/sF23/AKKWgDeooooAKKKKAMnVfDtlqk63eZbTUIxtjvrVtkyD0z0Zf9lgV9qof2vq2g/Lrtv9ssh01OxiJ2j/AKawjJX/AHl3DuQorpaKAIbS7tr+1jurO4iuLeQbklicMrD1BHBqasC68MJHdSX+iXLaVfSHdJ5a7oJz/wBNYuAx/wBobW/2qZF4lewlS28R2o06ViFS7Vt9pKe2JONhP91wPQFutAHRUUdRkUUAYPjK4lh8K3kNuxW5vNtlAR1DzMIwR9N2fwrZt7eK0toraFQkUSCNFHZQMAVhav8A6d4u0HThylv5uoyj/cXy0B+rSlh/uV0VABRRRQAUUUUAFFFFABRRRQAVzVj/AMU94jfTG+XTtTd57I9op+Wli+jcyL/209BXS1na5pS6zpUlp5hhmBElvOoy0MqnKOPoQOO4yOhoA0aKy9A1VtW0wSTxiG9gcwXkAOfKmX7wHseGB7qwPetSgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqOs6nHo2jXeoyqXWCMsI16yN0VR7k4A9zQBlQ/wDE48ayzdbXRY/JT0NzIoLn/gMZUf8AbRhXR1leHNMk0nQ4Le4YPePumupB0eZyWkI9txOPQACtWgAooooAKKKKACiiigAooooAKKK5ybxDc6pM9n4ZijuWVikuoy5+ywEdQMcysP7qnA7sKANTVdZsdFgSW8lIaRtkMKKXkmb+6iDlj7Csf+ztV8S/NrJfTtMPTTYZP3so/wCm8ingf7CHHqzDitDSvD1tps73s0sl9qci7Zb24wXI/uqBwif7KgD1yea16AOb8H28NqmtW9vEkMMepyIkcahVVQiYAA6CjWXfXtU/4R23dltEQSapKhwfLP3YAexfkn0QdtwNVdO1OLRtN8UahMrOsGpTMEX7zttQKo9ySAPc1seHNLl0vSgLplfULhzcXsi9Hmblsew4Uf7KigDUjjSGJI40VI0AVVUYCgdABTqKKACiiigAooooAwPGcrjwtd2sLFZ78pYxkdQ0zCPI+gYt+FbkUSQQpFGoWNFCqo6ADgCsDV/9N8XaDp/VLfztRlH+4vlID+MxI/3PauioAKKKKACuY8beGTr+kSvZ/JqcUTLEwO3zFP3oyewOAQf4WCt256eigDB8G68fEfhazv5AVusGK6QrtKTIdrgjqOQTj0Irerj7eMeG/iHLAo26f4iRp0AHCXsa/P2wN8YDe5jb1rsKACiiigAooooAKKKKACiiigAooooAa/8Aq2+hrD8D/wDIgeHP+wXbf+ilrcf/AFbfQ1h+B/8AkQPDn/YLtv8A0UtAG9RRRQAUUUUAFFFFABTJYo54niljWSNwVZHGQwPUEd6fRQBzZ0C90U+Z4auUSAcnS7pibc+0bctD9Blf9nvVmw8T2dxc/Yb6OTTNRClja3eFLAdWRs7ZF91Jx3Arbri/iFaQ+JtGm8JW8ST6jeoHUkDbaKG/1znB2jggAcscgdyAC74bubfWfEOvazbzxTwK8WnwSRuGUrGu9iCP9uVh/wABFdPXk3w88B+JfhlZ3sm611iO7dTNaW7lHQLnDRl8KzHPKnb0HzV6RpOu6frKyfZJj50RxNbyqY5oT6OjYK/lg9s0AaNFFFABRRRQAUUUUAFFFFABRRRQBzWr/wDEg1yLXk4sbrZbakOy84im/wCAk7WP91gTwldLUVzbw3drLbXEaywTIY5I2GQykYIPtisTw3cTWj3Hh69kaS608Awyucme2OfLfPdhgo3uuf4hQB0FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzmq/8TfxTp2kDm3sgNRux2JBIgU/Vwz/9sh610EsscELzSuqRxqWdmOAoHJJrC8JRSTafPrVwjLc6tL9qKsMFIsARJ7YjCkj+8W9aAOgooooAKKKKACiiigAoooJwMnpQAVnatrdjosUbXUjGWU7YLeJS8szf3UQck/oOpwKzJNfutZle18MxxyopKy6nMCbeI9wgGDMw9FIUd2zxV7SfD9rpcsl0zy3eozDE19ckNK49B2VfRVAHtmgDP/srU/Efz66TZ6cfu6VDJ80g/wCm8g6/7i/L6lxXRwwxW8KQwRpFFGoVERQqqB0AA6Cn0UAFFFFAHntkP7Q8UvpPWJNYuNRuB2IiWMRg/wDbR1Yf9czXoVcN4Ltt3jLxjfHnF4lqvttBdsfXzF/IV3NABRRRQAUUUUAFFFRzzR28Ek8rBY41Lux7ADJNAGDo3+m+K9f1E8pCYdOiPtGvmMR/wKYg/wC57V0VYPgyGSPwpZzzqVuL3dfTA9Q8zGUg/Tfj8K3qACiiigAooooA5rx5YTXnhS4ubNQdQ01l1CzJGf3sR3Y/4EAyfRjWzpWpW+s6RaalaMTb3UKzJnrhhnB9/WrZAIIIBB6g15/8MZG0u2u/DUhPl2sszWeT1jSZ4pF98Om76SrQB6DRRRQAUUUUAFFFFABRRRQAUUUUANf/AFbfQ1h+B/8AkQPDn/YLtv8A0Utbj/6tvoaw/A//ACIHhz/sF23/AKKWgDeooooAKKKKACiiigAoorE1nWZoblNJ0mNJ9XmXcA/+rt4+nmy4/h64XqxGB3IADWdZmhuU0nSo0n1eZdwD/wCrt06ebLj+HrherEYHcjnPEcd34U0rTYtHv5P7X1XU4baW5mjSQ3DufmdwR0VFbAXAAAGMV1mjaNDo9s6rI89zM3mXN1L/AKyeT+838gBwAABxXGa5eaf4g+K+g6QNRiEemW1xdyLFOAWmYiJY8g53Abzgcj2oA6m6a/u7U2Gk6i4uo3Al1CSJHVMH5lKgAM2MjAxjuR0L73w3aalFA13JM1/AuI9QiIinT6MoHH+zgqe4Ncp4Xv7Hwz8QNc8IG6t0t7lxqVhF5g+QycSQ47HcNwX0YmvRKAOa/tDW9A+XVoW1SwH/AC/2cX76MessI6/70ef9wVuWOoWep2aXdjcxXNu/3ZImDKfxHerNYV94ZhlvH1HS7iTS9Sfl57cApMf+msZ+WT6nDDswoA3aK5tPEdxpTCHxNapZjOF1CAlrR/8AeJ5iPs/HYMa6NWV1DKwZSMgg5BFAC0UUUAFFFFABRVa51C1tHEcso81hlYkBeRh6hVySPwrK0LxMuv6jqUNvYTRWthJ5DXMrLiSUfeVQCc7eMnPXj1oA3qwvEllcbLfWNOjMmo6cS6Rr1uIjjzIf+BAAj/aVa3EdZEV0YMrDIYHIIpaAK9je2+pWEF7aSCW3njEkbjupGRViuasf+Ke8RvpjfLp2pu89ke0U/LSxfRuZF/7aegrpaACiiigAooooAKKKKACiiigAooooAKKKKACiiigDnPFZOoCy8OoedUkIuMdrVMNL+DZWP/tpXRgAAADAHauc0D/ia61qmvNzEX+w2X/XKJiHYf70m76hEro6ACiiigAooooAKKQkKpZiAAMkntXNvrt5rjtb+GkjaAHbJqs6kwL6+UOPNb3BCj1OMUAaera5ZaMkYuGeS4mJWC1hXfNMfRVHJ9z0HUkCssaPqPiI+Z4hIt7E8rpMD5Vh/wBN3H3/APcHyeu/rWlpOgWmkvJOrSXN/MAJ724bdNL7E9AvoqgKOwrUoAbHGkMSRRIqRoAqqowFA6ACnUUUAFFFFABRRRQByHgQ7rjxY3c6/P8ApHEP6V19ch4GIW/8XRZ+ZddlbHs0UR/nn8q6+gAooooAKKKKACvK/jL8RIfC2nroP2KWeXVLd1kkV9gjiJ2tjg5YjcO2OtehazrMGjWqO6PPcTN5dtaxcyTydlUfqSeAAScAVh/8INYa4Rf+LbS21PUXIYIwLRWyjpHGO49SfvHk8YAAOh0u/t9Q0Wz1GAGO2uLdJ4w427UZQwyO3BpbXVtNvpfKtNQtLiTG7ZFMrnHrgHpVgmK1tyflihiTsMBVA/QAV5V4H8RR2mj2ExhkhuPFeq3MzXrRgxwu5YonuxRFAHQHOemCAeoQ6jY3F09rDe28lxHnfEkql1wcHIByMGrNVLHTLTT/ADGt4VWWZt80xHzyt/eZu5/l0GAKt0AFFFFABXnrKbCC/wBciB3aPrVxJKB/FbSbTMPwDb/cxivQq53wsiXFjq8jqHjuNUuwQwyGCyGM/wDoBoA6FWDqGUgqRkEHgilrnvCUj21nc6FOxabSJfs6ljkvARuhb3+QhSf7yNXQ0AFFFFABRRRQAUUUUAFFFFADX/1bfQ1h+B/+RA8Of9gu2/8ARS1uP/q2+hrD8D/8iB4c/wCwXbf+iloA3qKKKACiiigAoorE1nWZoblNJ0mNJ9XmXcA/+rt4+nmy4/h64XqxGB3IADWdZmhuU0nSY0n1eddwD/6u3j6ebLj+HrherEYHcizo2jQ6PbOqyPPczN5lzdS/6yeT+838gBwAABxRo2jQ6PbOqyPPczt5lzdS/wCsnk/vN/IAcAAAcVpUAFFFFABRRRQAUUUUAIyq6lWUMpGCCMgiudbw5caSxm8M3KWi5y2nzAtav/ugcxH3TjuVNdHRQBh2PiWGW7TT9Tt5NL1J+EguCCsx/wCmUg+WT6D5h3UVuVWvrCz1O0e0vraK5t3+9HKoYH8+/vWJ9g1rQPm0qZtUsB/y43cv75B6RTH73+7J/wB9igDpKKzNK1+w1dpIoHeK7iH760uEMc0X+8h5x6MMg9ia06APP/GM+qafqCad4aintr/WpTE9xIo+zj5CWkD5+WUBcAdzzg9a0bSzs38PxeHtAEJs7Jhb6jb/AGjEyjbuaMlcjexPzHI6tzk5HXMiuMMoYZBwRnkHIP51zOqaPrzWV3p+i3tlZxXcju946MZod5Jbao4ZuTgkjAxwcZIBW8M2dj4b0FLux1e/utDkRfsdnMFkMJZgFRGxuPJChSTiujsNSS+aWJoJra4hx5kE4AZQc7TlSQQcHkE9COoNVbbw5ZWfhm00KBpY7e0jjSGRWHmK0ZBV8kYzuAPIwe4xxVmw037HLNPLdTXVzMFV5pQoO1c7VAUAADcx6dWNADNc0pdZ0qS18wwzAiSCdRloZVOUcfQgcdxkdDTNA1VtW0wSTxiG9gcwXcAOfKmX7wHseCD3Vge9alc1q3/Eg1yLXk4srrZbakOy84im/wCAk7WP91gTwlAHS0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAVi+Kb+ey0VorJtuoXsi2lof7sj8bvoo3OfZDW1XOQ/8TjxtNP1tdFj8lPQ3Miguf+AxlR/20YdqANrTrCDS9NtdPtV229tEsUY/2VGB+NWaKKACiikd1jRndgqqMlicAD1oAWszVtds9H8uOXzJrubIgs7dd80xH91fT1Y4UdyKzW1u+19jD4bVEtM4fVp0zF/2xX/lqf8Aa4T3bpWlpOg2ej+ZJF5k95Njz7y4bfNMR/eb09FGFHYCgDMGiX+vsJvEjIlp1TSIHzH/ANtm/wCWp/2eE9m610qIsaKiKFVRgKBgAelLRQAUUUUAFFFFABRRRQAUUUUAcD4Sle3+IPie3c/u7yQyxD/aiIWT9JYq76vPX/0F77Xx00zXZWnP/Tu6IkufZQRJ/wBs69C60AFFFFABWbrOswaNao7o89xM3l21rFzJPJ2VR+pJ4ABJwBS6zrMGjWqO6PPcTN5dtaxcyTydlUfqSeAAScAVU0bRp4rp9X1d0n1eZdvycx20fXyo89umW6sRk4AAAAaNo08V0+r6u6T6vMu35OY7aPr5Uee3TLdWIycAADcoooAw/Ftlq2p+Gr/TtH+yrc3cDwebczMgjDDG4bVbJwT6Vj674SvtS+HFtoFnHaW+oWiQC1kNw2y3eIjY6t5eSflHG0dSM967SigCtp5vWsITqMdvHebf3q28hePd/skqDj8Ks0UUAFFFFAEN5dRWNlcXc7bYYI2lkb0VRkn8hWV4QtZrTwlpqXK7bmSETzr6SSEu4/76Y1B4tP223s9ATl9VnEco9LdfmmJ9io2fWQV0VAHOax/xKfEum60OILnGnXh7YY5hc/SQlP8AttXR1S1fTYdY0i706clY7iIxll6oT0Ye4OCPcVV8NalNqmhwyXYC30Ja3u1HRZkO18exIyPYigDXooooAKKKKACiiigAooooAa/+rb6GsPwP/wAiB4c/7Bdt/wCilrcf/Vt9DWH4H/5EDw5/2C7b/wBFLQBvUUUUAFFFYms6zNDcppOkxpPq867gH5jto+nmy4/h64XqxGB3IADWdZmhuU0nSY0n1eddwD8x20fTzZcfw9cL1YjA6Eizo2jQ6PbOqyPPczt5lzdS/wCsnk/vN/IAcAAAcUaNo0OjWzqsjz3M7eZc3UvMk8n95v5ADgAADitKgAooooAKKKKACiiigAooooAKKKKACiiigDO1XQ7DWVjN3CfOiOYbiJjHLCfVHGCP5Hvmss3Wu+H+LyN9a04f8vNvGBdRj/bjHEn1TB/2D1rpaKAKmnapY6vaC60+6juISSNyHOCOoI6gjuDyKt1i6j4atby7OoWc0unapgD7Za4DOB0Ein5ZB7MDjsR1qoPEF9oh8vxNbJHAOBqlqpNufeReWh/HK/7XagDpaiuPPNtJ9mMYn2nyzICV3ds45xTopY54klikWSNwGV0OQwPQg96fQBlafrS3Nz9gvYTZakAWNu7ZEgHVo26Ov05GRkDNaFzbw3drLbXEaywTIY5I2GQykYIPtiotQ0201S28i8iEiBgykEqyMOjKw5Vh2IINTcwW3HmSmNPqzYH8zQBh+G7ia0e48PXsjSXWngGGVzkz2xz5b57sMFG91z/EK6CuP1/UEa/guLeMwa7pyCeO0kkTfdQOSHiGGOS2zgf3lXtmuosb231KwgvbSQS288Ykjcd1IyKALFFFFABRRRQAUUUUAFFFFABRRRQBR1nU49G0a71GVS6wRlhGvWRuiqPcnAHuag8OaZJpOhwW9wwe8fdNdSD+OZyWkP03E49gBVHVf+Jv4q07SBzb2QGo3Y7EgkQIfq4Z/wDtkPWujoAKKbJIkMbSSuqRoCzMxwFA6kmubOsah4hPl+HgILE8Nq06ZVh/0wQ/f/3z8npv6UAaWra9aaS8cDCS5vpgTBZW67ppfcDoF9WYhR3NZyaFea46z+JXjMAO6PSoWJgX081uPNb2OEHocZrT0nQ7LRkkNuryXExBnup23zTH1Zj19h0HQACtKgBAAqhVAAAwAO1LRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHOeHIY7geIYZkV4pNTmR0YZDAogINO8MTSWYn8O3bs1zpoAhdzzNbH/VvnuQBsb/aUnuKXwv8A63Xv+wrL/wCgpU2v6XcXQt9R00qurWJZrcscLKpxvic/3WAHPYhT2xQBtVnazrMGjWqO6PPcTN5dtaxcyTydlUfqSeAAScAVQPi+wbRo72OOZ7qWQ26aeABObgdYivZh3J4A+bOOal0bRp4rp9X1d0n1aZdvycx20fXyo89umW6sRk4AAAAaNo08V0+r6u6T6tMu35OY7aPr5Uee3TLdWIycAADboooAKKKKACiiigAooooAKRmCqWYgKBkk9qWuY1SRvE9/LoNqx/s2E41S4U4Dd/syn1PG89lOOrcAD/DwOsajc+JZAfKnT7Pp4Pa2ByX/AO2jfN/uqldJSKqooVVCqowABgAUtABXOL/xJ/G7J0tNbj3j0F1EuD+LxAH/ALYmujrG8T6dPqGiSGyA/tC1dbqzzx+9jO5R9G5U+zGgDZoqppeowatpVrqNsSYbmJZUzwQCM4PoR0Iq3QAUUUUAFFFFABRRRQA1/wDVt9DWH4H/AORA8Of9gu2/9FLW4/8Aq2+hrD8D/wDIgeHP+wXbf+iloA3qKKxNZ1meG5TSdJjSfV513APzHbR9PNlx29F6sRgdyAA1nWZoblNJ0mNJ9XnXcA/MdtH082XHb0XqxGB3Is6No0OjWzqsjz3M7eZc3UvMk8n95v5ADgAADijRtGh0a2dVkee5nbzLm6l/1k8n95v5ADgAADitKgAooooAKKKKACiiigAooooAKKKKACiiigArB8XeJY/C/h+81DyTczwwtLHApxux3J7DJAz7gDkit6vMfG8t5BaWmiXQsLm81jU7WORo7krM8Yl34EbL8qYRlHzY57kkkA67W/EV1odpp7f2Pd6lcz/66CwALxqF+ZwpPzAMVGM/xVcttcjk0j+0ruyvdPj3BRFdRjzWJIAwiFjkk4A6k9ulVVaDWtemSS31K2l0+ARmTf5cbGYK5UMjZZl2Lntz3rO8LXlx4v8ABNtd3E7LOtzJ5F0qj5/KmZUkx0O4KMgYBycY4wAdJY6jb6gshgMgaJtkkcsbRuhxnlWAPQ9ehq2RkYPSqGn6fLazXFzdXAuLu42h3SPYgVc7VVckgck8knJPPQC/QBzsvhp9Ple58N3Q06ViWe0Zd1pKe+Y+NhP95CPUhulSWniZEuo7DWrZtLvpDtjEjboZz/0yl4DH/ZO1v9mt6obu0tr+1ktbu3iuLeQbXilQMrD0IPBoAmrF1zTtSnYX2k3zRXtvbyrDBIWMEjsBtLqGAJBHBOcZPFVf7J1bQvm0O4+2WQ66beyklR/0ymOSv+624dgVFXtL8Q2WqTPa/vbXUIxuksrpdkyD1x0Zf9pSV96AMbSfCentpt1bXceoTXV2Ukv9RmcxS3Dgg7cqQQgxgKvy44GeatWP/FPeI30xvl07U3eeyPaKflpYvo3Mi/8AbT0FdLWdrmlLrOlSWvmGGYESQTqMtDKpyjj6EDjuMjoaANGisvQNVbVtMEk8YhvYXMF3ADnypl+8B7Hgg91YHvWpQAUUUUAFFFFABRRRQAUyWWOCF5pXCRxqWdmOAoHJJp9cx4xuIriG10J5kjTUHJu3ZgojtI8NMSewI2x5/wCmlAE3hGKSbT59auEZbnV5ftRVhykWAIk9sRhSR/eLetXNW1+10uWO1VJbvUZhmGytgGlcep7KvqzED3rOGqal4iHl6CDZ6ceDqk0fLj/phGev++3y+gcVq6Toljo0Ui2sbGWU7p7iVi8szf3nc8k/oOgwKAMyPQLvWZFuvE0kcqKQ0Wlwkm3jPYuTgzMPUgKOy55rpAABgcCiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5/wv/rde/wCwrL/6ClX9Y1iDR7VHdHmuJm8u2touZJ5OyqP1JPAAJOAK5/T9Zg0eLW3dHnuJdYljt7aLmSeTYmFUfqSeAAScAVraPo88d0+ras6TatMu35OY7aPr5Uee3TLdWIycAAAAxU8K6pb6g3imOW2fxJIuJoCMW7xcfuA2MgjaMSdSRyNuFHRaPrtrrCSIiyW95BgXFnONssJP94dwezDIPYmtOsvVtBs9XaOZzLb3sIPkXlu2yaLPUBu4PdSCp7g0AalFc2NR17Rfk1SyOqWo6Xunp+9A/wBuDOT9Yy2f7orT0zX9J1jcthfwzSJ9+INiSP2ZDhlPsQKANGiiigAooprusaF3YKqjJZjgAUAOoJwMnpXPSeL7CaRoNGim1q4BxixAaJT/ALUxIjX6bs+xqM6FqGufN4juEFqf+YXZsfJI9JXOGl+mFX1U0ANm1W78SytZaBK0VgCVudWXp7pB2Zuxf7q9sngbunadaaVYRWVlCsNvEMKo59ySTySTkknkkkmrEcaQxLFEipGgCqqjAUDoAKdQAUUUUAFFFFAHN6F/xKtf1TQm4hdjqFkO2yRv3qj/AHZMn2EiiukrnPFqmyhs/EEQJfSZTJNgctbN8sw/BcP9YxXRI6yIHRgykZBByDQAtFFFABRRRQAUUUUANf8A1bfQ1h+B/wDkQPDn/YLtv/RS1uSf6tvoa4fQdanh8E+GNJ0mNJ9Xn0m1YB+Y7aPylHmy47ei9WIwO5ABvazrM8Nymk6TGk+rzruAfmO2j6ebLj+H0XqxGB3ItaNo0GjWzqsjz3M7eZc3UvMk8n95v5ADgAADijRdFg0a2dVkee5nbzLm6l5knk/vN/IAcAAAcVpUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUF1Z2t7H5d3bQzp/dljDD8jU9FAGffaJYaju8+OUbk8t/Jnki3rz8rbGG4cng+p9at21tBZWsVrawpDBEoSOONQqoo6AAdBUtFABWde6DpeoXH2i5sozc4C+emUlwOg3rhv1rRooAy7bQ1srlJLfUdSEan5oZbkzq/wBTJub8iKm1K5tEEFncXwtZLuTy4gr7XkIG5lXv90HkcgdCDir1QXVla3qKt1bQzqpyokQNg4x39iRQBxfh9LrXRfanZatLY6dNqYGmxodyvFFhZCATz5hRzzkAfNjJJrrNU0aw1mFI763EhjO6KRSVkib+8jjDKfcEU610mxspA9vAEwWKruJVNxy21ScLk+mKu0Ac3u17w/8AfEmuacP4lCreRD3HCyj6bW9mNa+mavYaxbGewuUmRW2uBkNG3dXU8q3sQDV2sjU/DtnqNyL2N5bLUlG1L21ISTHYNwQ6/wCywI9qAKOrf8SDXIteTiyutltqQ7LziKb/AICTtY/3WBPCV0tctc6le6day2fimyS606RDG+oWsRaMoRgiaLlk46kbl7kr0qTwpqS+VJo0t2ty9oqta3IcMLq1bPlyBv4iMFGPquf4hQB0tFFFABRRRQAVTu9X0ywlEV5qNpbyEbgk06oSPXBPTirlcNr0v274paDaC3knTS7OfUJFjAPzyfuo85P/AF0NAHYWmoWWoKzWV5b3IX7xhlV8fXBrxHRfg54nX4jXuratqkRsWlklFwCsrz5JKZjdSvBweRgEDHYjvrRf7d+Jyago+wNo9o8MttINs9z5pGCwHBiG3KnJ+bPTFdzQBz/9haz/ANDdqP8A4C2v/wAao/sLWf8AobtR/wDAW1/+NV0FFAHP/wBhaz/0N2o/+Atr/wDGqP7C1n/obtR/8BbX/wCNV0FFAHP/ANhaz/0N2o/+Atr/APGqP7C1n/obtR/8BbX/AONV0FFAHP8A9haz/wBDdqP/AIC2v/xqj+wtZ/6G7Uf/AAFtf/jVdBRQBz/9haz/ANDdqP8A4C2v/wAao/sLWf8AobtR/wDAW1/+NV0FFAHP/wBhaz/0N2o/+Atr/wDGqP7C1n/obtR/8BbX/wCNV0FFAHP/ANhaz/0N2o/+Atr/APGqP7C1n/obtR/8BbX/AONV0FFAHP8A9haz/wBDdqP/AIC2v/xqj+wtZ/6G7Uf/AAFtf/jVdBRQBz/9haz/ANDdqP8A4C2v/wAaqO48P65JbSxx+MdRR2QhWNrbcEjg8R5rpK5b4j3Udl8PtZmaFZZDB5cCsoP71yEjI9wzA0Aec/DT4T+K/DeuahqGpawlmzoY0ktdk7yksCW/eIcA4HoTXp/9haz/ANDdqP8A4C2v/wAaqjL4S0rTfB5h8tbe5tLLnUIfkmDon+s3jknIzz171o+C9Vutb8FaNqd6MXVzaRySkDG5iOTj36/jQAz+wtZ/6G7Uf/AW1/8AjVH9haz/ANDdqP8A4C2v/wAaroKKAOf/ALC1n/obtR/8BbX/AONVn6n4EfWQv9pa7cXRT7jy2NoWT/dbysj8K7CigDibPwDfWH/Hr428RIOyvLHKo+gdSBV0+G/Eefl8dakB72Nof/aVdTRQByj+Fdcmj2TeOdYIP/PO3tY/1WLP61mH4YRyzCa78R6pfuDuH29YroKfZZEYD8BXfUUAc6nh7V4o1jj8WX6IowqraWoAHsPKp39haz/0N2o/+Atr/wDGq6CigDn/AOwtZ/6G7Uf/AAFtf/jVH9haz/0N2o/+Atr/APGq6CigDn/7C1n/AKG7Uf8AwFtf/jVH9haz/wBDdqP/AIC2v/xqugooA5/+wtZ/6G7Uf/AW1/8AjVH9haz/ANDdqP8A4C2v/wAaroKKAOK8S+EvEOq+GtRsLXxdeGe4gaNFmggRGyOjMkYYA9Mj1rJ+DfgnXvBWjahb65cRn7RMrQ20cm9YgAQTnplsjgegr0us3xDrEXh/w7qOrzKXSzt3m2A43EDIH4nA/GgCxealYacEN9e21qHOEM8qpuPtk80+C9tboIbe5hlEil0McgbcoOCRjqM8ZrnfBOkyxaTBrWqkT65qMSzXU7DlA3zCJP7qKCBgdwT1NaNh4fgsfE2q61HtEl/HCjKB02bsn8dw/KgDYooooAKKKKAOW+Imgan4m8D6hpOkXS295MF2lmKhwGBKkjkZAP8AI8ZrlPhl8OvEfhbw3Lb3uvSWFxPOZTDaRwyhRtUDczoTng8A4H51ufEaCLUT4d0fy1ae/wBVjTcB86woDJLtPUZVAD9aj8fwWvhXwpNr+jwJZX1lNC0Ytl2CbMqqY3UYDhgxHPTqMYoA3P7C1n/obtR/8BbX/wCNUf2FrP8A0N2o/wDgLa//ABqugooA5/8AsLWf+hu1H/wFtf8A41R/YWs/9DdqP/gLa/8AxqugooA5/wDsLWf+hu1H/wABbX/41R/YWs/9DdqP/gLa/wDxqugooA5/+wtZ/wChu1H/AMBbX/41R/YWs/8AQ3aj/wCAtr/8aroKKAOf/sLWf+hu1H/wFtf/AI1R/YWs/wDQ3aj/AOAtr/8AGq6CigDn/wCwtZ/6G7Uf/AW1/wDjVH9haz/0N2o/+Atr/wDGq6CigDn/AOwtZ/6G7Uf/AAFtf/jVH9haz/0N2o/+Atr/APGq6CigDn/7C1n/AKG7Uf8AwFtf/jVH9haz/wBDdqP/AIC2v/xqugooA5/+wtZ/6G7Uf/AW1/8AjVH9haz/ANDdqP8A4C2v/wAaroKKAOf/ALC1n/obtR/8BbX/AONUf2FrP/Q3aj/4C2v/AMaroKKAOf8A7C1n/obtR/8AAW1/+NUf2FrP/Q3aj/4C2v8A8aroKKAOf/sLWf8AobtR/wDAW1/+NUf2FrP/AEN2o/8AgLa//Gq6CigDn/7C1n/obtR/8BbX/wCNUf2FrP8A0N2o/wDgLa//ABqugooA5/8AsLWf+hu1H/wFtf8A41R/YWs/9DdqP/gLa/8AxqugooA5/wDsLWf+hu1H/wABbX/41XlHxA+DPiLVtas7zQtSimUkmXztlv5UhOTIBGgHPGSBuyB17e70UAQWUMtvYW8E8xnmjiVHlIwZGAALfieagTWtKkvPsaanZtdBtnkidS+7025zn2rmPFl9c6l4p0fwfazSQRXkcl3qMsTFX+zJgbFI5G9iFJGCBn1rob3Q7Sfw3caLbwQwWz27QxRou1Y+OCAOmDg8dxQBoxSxzxrJFIskbdGQ5B/Giq+lafFpOkWWnQ/6q0gSBPoqhR/KigC0c7TtAJxwCcVx+maT4ks/E+ua1PZ6VK+oCGOFBfyDyo41IC58nuzMfx9q7GigDnNF8O3Nv4i1DxFqk8Umo3kSW6RQZ8u3hUkhATyxJJJYgewFdHRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXG+NrTVdWvNEs7XR7m5sbfUYry8lSWEBkjBZUAZwTl9ueO1dlRQBy+t2uqeKbGTR/sc2mWFwNl5PNJGZHi/ijjVGYfMPlLEjAJwCenSW9vDaW0VtbxrFBCgjjjUYCqBgAewFSUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVQ1vSbfXtDvtJuiwgvIGhcr1AYYyPcdav0UAYOlDX7PTbfT7m1tJZoI1i+1rMRG4AwHKY3Anrt6dt3etaytRaW4jLmRyxeSQjl2JyT7ew7DA7VYooAKKKKACiiigDib6DV7r4j2OqPoN7Jpum2U0cDrLb5eeRlBYAyA7di98HnpV690m88UalYvqdr9j0qxmFytpI6vJcTL9wvtJUIp5ABOTjOMYPUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc7q+hXL+JdP8R6b5TXltDJazQTMUWaFyGwGAOGVlBHGDyOOoviK91Fo/tcKWtujrJ5Qk3vIynK5IGFAIB4Jzx0GQdOigAooooA//9k=)\n \n\nBy the law of sines, we obtain \n\n\\[\\frac{I K}{K C} = \\frac{\\sin 45^{\\circ}\\cdot\\frac{E K}{\\sin(90^{\\circ} - 2x)}}{\\sin(3x)\\cdot\\frac{E K}{\\sin(45^{\\circ} - x)}} = \\frac{\\sin 45^{\\circ}\\sin(45^{\\circ} - x)}{\\sin(3x)\\sin(90^{\\circ} - 2x)}.\\] \n\nAlso, by the angle bisector theorem on \\(\\triangle I D C\\) , we have \n\n\\[\\frac{I K}{K C} = \\frac{I D}{D C} = \\frac{\\sin(45^{\\circ} - x)}{\\sin(45^{\\circ} + x)}.\\]\n\n\n\nEquating these and cancelling \\(\\sin \\left(45^{\\circ} - x\\right) \\neq 0\\) gives \n\n\\[\\sin 45^{\\circ}\\sin \\left(45^{\\circ} + x\\right) = \\sin 3x\\sin \\left(90^{\\circ} - 2x\\right).\\] \n\nApplying the product- sum formula (again, we are just trying to break down things as much as possible), this just becomes \n\n\\[\\cos \\left(x\\right) - \\cos \\left(90^{\\circ} + x\\right) = \\cos \\left(5x - 90^{\\circ}\\right) - \\cos \\left(90^{\\circ} + x\\right)\\] \n\nor \\(\\cos x = \\cos \\left(5x - 90^{\\circ}\\right)\\) \n\nAt this point we are basically done; the rest is making sure we do not miss any solutions and write up the completion nicely. One nice way to do this is by using product- sum in reverse as \n\n\\[0 = \\cos \\left(5x - 90^{\\circ}\\right) - \\cos x = 2\\sin \\left(3x - 45^{\\circ}\\right)\\sin \\left(2x - 45^{\\circ}\\right).\\] \n\nThis way we merely consider the two cases \n\n\\[\\sin \\left(3x - 45^{\\circ}\\right) = 0 \\mathrm{and} \\sin \\left(2x - 45^{\\circ}\\right) = 0.\\] \n\nNotice that \\(\\sin \\theta = 0\\) if and only \\(\\theta\\) is an integer multiple of \\(180^{\\circ}\\) . Using the bound \\(0^{\\circ} < x < 45^{\\circ}\\) , it is easy to see that the permissible values of \\(x\\) are \\(x = 15^{\\circ}\\) and \\(x = \\frac{45^{\\circ}}{2}\\) . As \\(\\angle A = 4x\\) , this corresponds to \\(\\angle A = 60^{\\circ}\\) and \\(\\angle A = 90^{\\circ}\\) , which can be seen to work.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2009/4, proposed by Hojoo Lee, Peter Vandendriessche, Jan Vonk (BEL) \n"}} +{"year": "2009", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with \\(A B = A C\\) . The angle bisectors of \\(\\angle C A B\\) and \\(\\angle A B C\\) meet the sides \\(B C\\) and \\(C A\\) at \\(D\\) and \\(E\\) , respectively. Let \\(K\\) be the incenter of triangle \\(A D C\\) . Suppose that \\(\\angle B E K = 45^{\\circ}\\) . Find all possible values of \\(\\angle C A B\\) .", "solution": "Here is the solution presented in my book EGM0. \n\nLet \\(I\\) be the incenter of \\(A B C\\) , and set \\(\\angle D A C = 2x\\) (so that \\(0^{\\circ}< x< 45^{\\circ}\\) ). From \\(\\angle A I E = \\angle D I C\\) , it is easy to compute \n\n\\[\\angle K I E = 90^{\\circ} - 2x, \\angle E C I = 45^{\\circ} - x, \\angle I E K = 45^{\\circ}, \\angle K E C = 3x.\\] \n\nHaving chased all the angles we want, we need a relationship. We can find it by considering the side ratio \\(\\frac{I K}{K C}\\) . Using the angle bisector theorem, we can express this in terms of triangle \\(I D C\\) ; however we can also express it in terms of triangle \\(I E C\\) . \n\n![md5:f11ee7dcccaac044ea1a7c8ced1148ee](f11ee7dcccaac044ea1a7c8ced1148ee.jpeg)\n \n\nBy the law of sines, we obtain \n\n\\[\\frac{I K}{K C} = \\frac{\\sin 45^{\\circ}\\cdot\\frac{E K}{\\sin(90^{\\circ} - 2x)}}{\\sin(3x)\\cdot\\frac{E K}{\\sin(45^{\\circ} - x)}} = \\frac{\\sin 45^{\\circ}\\sin(45^{\\circ} - x)}{\\sin(3x)\\sin(90^{\\circ} - 2x)}.\\] \n\nAlso, by the angle bisector theorem on \\(\\triangle I D C\\) , we have \n\n\\[\\frac{I K}{K C} = \\frac{I D}{D C} = \\frac{\\sin(45^{\\circ} - x)}{\\sin(45^{\\circ} + x)}.\\]\n\n\n\nEquating these and cancelling \\(\\sin \\left(45^{\\circ} - x\\right) \\neq 0\\) gives \n\n\\[\\sin 45^{\\circ}\\sin \\left(45^{\\circ} + x\\right) = \\sin 3x\\sin \\left(90^{\\circ} - 2x\\right).\\] \n\nApplying the product- sum formula (again, we are just trying to break down things as much as possible), this just becomes \n\n\\[\\cos \\left(x\\right) - \\cos \\left(90^{\\circ} + x\\right) = \\cos \\left(5x - 90^{\\circ}\\right) - \\cos \\left(90^{\\circ} + x\\right)\\] \n\nor \\(\\cos x = \\cos \\left(5x - 90^{\\circ}\\right)\\) \n\nAt this point we are basically done; the rest is making sure we do not miss any solutions and write up the completion nicely. One nice way to do this is by using product- sum in reverse as \n\n\\[0 = \\cos \\left(5x - 90^{\\circ}\\right) - \\cos x = 2\\sin \\left(3x - 45^{\\circ}\\right)\\sin \\left(2x - 45^{\\circ}\\right).\\] \n\nThis way we merely consider the two cases \n\n\\[\\sin \\left(3x - 45^{\\circ}\\right) = 0 \\mathrm{and} \\sin \\left(2x - 45^{\\circ}\\right) = 0.\\] \n\nNotice that \\(\\sin \\theta = 0\\) if and only \\(\\theta\\) is an integer multiple of \\(180^{\\circ}\\) . Using the bound \\(0^{\\circ} < x < 45^{\\circ}\\) , it is easy to see that the permissible values of \\(x\\) are \\(x = 15^{\\circ}\\) and \\(x = \\frac{45^{\\circ}}{2}\\) . As \\(\\angle A = 4x\\) , this corresponds to \\(\\angle A = 60^{\\circ}\\) and \\(\\angle A = 90^{\\circ}\\) , which can be seen to work.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2009/4, proposed by Hojoo Lee, Peter Vandendriessche, Jan Vonk (BEL) \n"}} {"year": "2009", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Find all functions \\(f\\colon \\mathbb{Z}_{>0}\\to \\mathbb{Z}_{>0}\\) such that for positive integers \\(a\\) and \\(b\\) , the numbers \n\n\\[a, f(b), f(b + f(a) - 1)\\] \n\nare the sides of a non-degenerate triangle.", "solution": ". \n\nThe only function is the identity function (which works). We prove it is the only one. Let \\(P(a,b)\\) denote the given statement. \n\nClaim — We have \\(f(1) = 1\\) , and \\(f(f(n)) = n\\) . (In particular \\(f\\) is a bijection.) \n\nProof. Note that \n\n\\[P(1,b)\\Rightarrow f(b) = f(b + f(1) - 1).\\] \n\nOtherwise, the function \\(f\\) is periodic modulo \\(N = f(1) - 1\\geq 1\\) . This is impossible since we can fix \\(b\\) and let \\(a\\) be arbitrarily large in some residue class modulo \\(N\\) . \n\nHence \\(f(1) = 1\\) , so taking \\(P(n,1)\\) gives \\(f(f(n)) = n\\) . \n\nClaim — Let \\(\\delta = f(2) - 1 > 0\\) . Then for every \\(n\\) , \n\n\\[f(n + 1) = f(n) + \\delta \\quad \\mathrm{or}\\quad f(n - 1) = f(n) + \\delta\\] \n\nProof. Use \n\n\\[P(2,f(n))\\Rightarrow n - 2< f(f(n) + \\delta)< n + 2.\\] \n\nLet \\(y = f(f(n) + \\delta)\\) , hence \\(n - 2< y< n + 2\\) and \\(f(y) = f(n) + \\delta\\) . But, remark that if \\(y = n\\) , we get \\(\\delta = 0\\) , contradiction. So \\(y\\in \\{n + 1,n - 1\\}\\) and that is all. \\(\\square\\) \n\nWe now show \\(f\\) is an arithmetic progression with common difference \\(+\\delta\\) . Indeed we already know \\(f(1) = 1\\) and \\(f(2) = 1 + \\delta\\) . Now suppose \\(f(1) = 1,\\ldots ,f(n) = 1 + (n - 1)\\delta\\) . Then by induction for any \\(n\\geq 2\\) , the second case can't hold, so we have \\(f(n + 1) = f(n) + \\delta\\) , as desired. \n\nCombined with \\(f(f(n)) = n\\) , we recover that \\(f\\) is the identity.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2009/5, proposed by Bruno Le Floch (FRA) \n"}} {"year": "2009", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , ..., \\(a_{n}\\) be distinct positive integers and let \\(M\\) be a set of \\(n - 1\\) positive integers not containing \\(s = a_{1} + \\dots +a_{n}\\) . A grasshopper is to jump along the real axis, starting at the point 0 and making \\(n\\) jumps to the right with lengths \\(a_{1}\\) , \\(a_{2}\\) , ..., \\(a_{n}\\) in some order. Prove that the order can be chosen in such a way that the grasshopper never lands on any point in \\(M\\) .", "solution": "The proof is by induction on \\(n\\) . Assume \\(a_{1} < \\dots < a_{n}\\) and call each element of \\(M\\) a mine. Let \\(x = s - a_{n}\\) . We consider four cases, based on whether \\(x\\) has a mine and whether there is a mine past \\(x\\) . \n\n- If \\(x\\) has no mine, and there is a mine past \\(x\\) , then at most \\(n - 2\\) mines in \\([0, x]\\) and so we use induction to reach \\(x\\) , then leap from \\(x\\) to \\(s\\) and win. \n\n- If \\(x\\) has no mine but there is also no mine to the right of \\(x\\) , then let \\(m\\) be the maximal mine. By induction hypothesis on \\(M \\setminus \\{m\\}\\) , there is a path to \\(x\\) using \\(\\{a_{1}, \\ldots , a_{n - 1}\\}\\) which avoids mines except possibly \\(m\\) . If the path hits the mine \\(m\\) on the hop of length \\(a_{k}\\) , we then swap that hop with \\(a_{n}\\) , and finish. \n\n- If \\(x\\) has a mine, but there are no mines to the right of \\(x\\) , we can repeat the previous case with \\(m = x\\) . \n\n- Now suppose \\(x\\) has a mine, and there is a mine past \\(x\\) . There should exist an integer \\(1 \\leq i \\leq n - 1\\) such that \\(s - a_{i}\\) and \\(y = s - a_{i} - a_{n}\\) both have no mine. By induction hypothesis, we can then reach \\(y\\) in \\(n - 2\\) steps (as there are two mines to the right of \\(y\\) ); then \\(y \\to s - a_{i} \\to s\\) finishes. \n\nRemark. It seems much of the difficulty of the problem is realizing induction will actually work. Attempts at induction are, indeed, a total minefield (ha!), and given the position P6 of the problem, it is expected that many contestants will abandon induction after some cursory attempts fail.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2009-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2009/6, proposed by Dmitry Khramtsov (RUS) \n"}} diff --git a/IMO/segmented/en-IMO-2010-notes.jsonl b/IMO/segmented/en-IMO-2010-notes.jsonl index e92bafb4da4063cce24e192e2e4620290bb9950e..6afb550329a8b713f8828e0631049ab9d71f01bd 100644 --- a/IMO/segmented/en-IMO-2010-notes.jsonl +++ b/IMO/segmented/en-IMO-2010-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2010", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Find all functions \\(f\\colon \\mathbb{R}\\to \\mathbb{R}\\) such that for all \\(x,y\\in \\mathbb{R}\\) \n\n\\[f(\\lfloor x\\rfloor y) = f(x)\\lfloor f(y)\\rfloor .\\]", "solution": "The only solutions are \\(f(x)\\equiv c\\) , where \\(c = 0\\) or \\(1\\leq c< 2\\) . It's easy to see these work. \n\nPlug in \\(x = 0\\) to get \\(f(0) = f(0)\\lfloor f(y)\\rfloor\\) , so either \n\n\\[1\\leq f(y)< 2\\quad \\forall y\\qquad \\mathrm{or}\\qquad f(0) = 0\\] \n\nIn the first situation, plug in \\(y = 0\\) to get \\(f(x)\\lfloor f(0)\\rfloor = f(0)\\) , thus \\(f\\) is constant. Thus assume henceforth \\(f(0) = 0\\) \n\nNow set \\(x = y = 1\\) to get \n\n\\[f(1) = f(1)\\lfloor f(1)\\rfloor\\] \n\nso either \\(f(1) = 0\\) or \\(1\\leq f(1)< 2\\) . We split into cases: \n\n- If \\(f(1) = 0\\) , pick \\(x = 1\\) to get \\(f(y)\\equiv 0\\) . \n\n- If \\(1\\leq f(1)< 2\\) , then \\(y = 1\\) gives \n\n\\[f(\\lfloor x\\rfloor) = f(x)\\] \n\nfrom \\(y = 1\\) , in particular \\(f(x) = 0\\) for \\(0\\leq x< 1\\) . Choose \\((x,y) = \\left(2,\\frac{1}{2}\\right)\\) to get \\(f(1) = f(2)\\left\\lfloor f\\left(\\frac{1}{2}\\right)\\right\\rfloor = 0\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2010/1, proposed by Pierre Bornsztein (FRA) \n"}} -{"year": "2010", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(I\\) be the incenter of a triangle \\(A B C\\) and let \\(\\Gamma\\) be its circumcircle. Let line \\(A I\\) intersect \\(\\Gamma\\) again at \\(D\\) . Let \\(E\\) be a point on arc \\(\\overrightarrow{B D C}\\) and \\(F\\) a point on side \\(B C\\) such that \n\n\\[\\angle B A F = \\angle C A E< \\frac{1}{2}\\angle B A C.\\] \n\nFinally, let \\(G\\) be the midpoint of \\(\\overline{{I F}}\\) . Prove that \\(\\overline{{D G}}\\) and \\(\\overline{{E I}}\\) intersect on \\(\\Gamma\\)", "solution": "Let \\(\\overline{{E I}}\\) meet \\(\\Gamma\\) again at \\(K\\) . Then it suffices to show that \\(\\overline{{K D}}\\) bisects \\(\\overline{{I F}}\\) . Let \\(\\overline{{A F}}\\) meet \\(\\Gamma\\) again at \\(H\\) , so \\(\\overline{{H E}}\\parallel \\overline{{B C}}\\) . By Pascal theorem on \n\n\\[A H E K D D\\] \n\nwe then obtain that \\(P = \\overline{{A H}}\\cap \\overline{{K D}}\\) lies on a line through \\(I\\) parallel to \\(\\overline{{B C}}\\) . \n\nLet \\(I_{A}\\) be the \\(A\\) - excenter, and set \\(Q = \\overline{{I_{A}F}}\\cap \\overline{{I P}}\\) , and \\(T = \\overline{{A I D I_{A}}}\\cap \\overline{{B F C}}\\) . Then \n\n\\[-1 = (A I;T I_{A})\\stackrel {E}{=}(I Q;\\infty P)\\] \n\nwhere \\(\\infty\\) is the point at infinity along \\(\\overline{{I P Q}}\\) . Thus \\(P\\) is the midpoint of \\(\\overline{{I Q}}\\) . Since \\(D\\) is the midpoint of \\(\\overline{{I I_{A}}}\\) by \"Fact 5\", it follows that \\(\\overline{{D P}}\\) bisects \\(\\overline{{I F}}\\) . \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "2. ", "solution_match": "## §1.2 IMO 2010/2, proposed by Tai Wai Ming and Wang Chongli (HKG) \n"}} +{"year": "2010", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(I\\) be the incenter of a triangle \\(A B C\\) and let \\(\\Gamma\\) be its circumcircle. Let line \\(A I\\) intersect \\(\\Gamma\\) again at \\(D\\) . Let \\(E\\) be a point on arc \\(\\overrightarrow{B D C}\\) and \\(F\\) a point on side \\(B C\\) such that \n\n\\[\\angle B A F = \\angle C A E< \\frac{1}{2}\\angle B A C.\\] \n\nFinally, let \\(G\\) be the midpoint of \\(\\overline{{I F}}\\) . Prove that \\(\\overline{{D G}}\\) and \\(\\overline{{E I}}\\) intersect on \\(\\Gamma\\)", "solution": "Let \\(\\overline{{E I}}\\) meet \\(\\Gamma\\) again at \\(K\\) . Then it suffices to show that \\(\\overline{{K D}}\\) bisects \\(\\overline{{I F}}\\) . Let \\(\\overline{{A F}}\\) meet \\(\\Gamma\\) again at \\(H\\) , so \\(\\overline{{H E}}\\parallel \\overline{{B C}}\\) . By Pascal theorem on \n\n\\[A H E K D D\\] \n\nwe then obtain that \\(P = \\overline{{A H}}\\cap \\overline{{K D}}\\) lies on a line through \\(I\\) parallel to \\(\\overline{{B C}}\\) . \n\nLet \\(I_{A}\\) be the \\(A\\) - excenter, and set \\(Q = \\overline{{I_{A}F}}\\cap \\overline{{I P}}\\) , and \\(T = \\overline{{A I D I_{A}}}\\cap \\overline{{B F C}}\\) . Then \n\n\\[-1 = (A I;T I_{A})\\stackrel {E}{=}(I Q;\\infty P)\\] \n\nwhere \\(\\infty\\) is the point at infinity along \\(\\overline{{I P Q}}\\) . Thus \\(P\\) is the midpoint of \\(\\overline{{I Q}}\\) . Since \\(D\\) is the midpoint of \\(\\overline{{I I_{A}}}\\) by \"Fact 5\", it follows that \\(\\overline{{D P}}\\) bisects \\(\\overline{{I F}}\\) . \n\n![md5:9f76ed924107fad9b25832aa7b0ae029](9f76ed924107fad9b25832aa7b0ae029.jpeg)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "2. ", "solution_match": "## §1.2 IMO 2010/2, proposed by Tai Wai Ming and Wang Chongli (HKG) \n"}} {"year": "2010", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Find all functions \\(g\\colon \\mathbb{Z}_{>0}\\to \\mathbb{Z}_{>0}\\) such that \n\n\\[(g(m) + n)(g(n) + m)\\] \n\nis always a perfect square.", "solution": "For \\(c\\geq 0\\) , the function \\(g(n) = n + c\\) works; we prove this is the only possibility. \n\nFirst, the main point of the problem is that: \n\nClaim — We have \\(g(n)\\equiv g(n^{\\prime})\\) (mod \\(p\\) ) \\(\\Longrightarrow n\\equiv n^{\\prime}\\) (mod \\(p\\) ). \n\nProof. Pick a large integer \\(M\\) such that \n\n\\[\\nu_{p}(M + g(n)),\\quad \\nu_{p}(M + g(n^{\\prime}))\\quad \\mathrm{are~both~odd}.\\] \n\n(It's not hard to see this is always possible.) Now, since each of \n\n\\[(M + g(n))(n + g(M))\\] \\[(M + g(n^{\\prime}))(n^{\\prime} + g(M))\\] \n\nis a square, we get \\(n\\equiv n^{\\prime}\\equiv - g(M)\\) (mod \\(p\\) ). \n\nThis claim implies that \n\n- The numbers \\(g(n)\\) and \\(g(n + 1)\\) differ by \\(\\pm 1\\) for any \\(n\\) , and \n\n- The function \\(g\\) is injective. \n\nIt follows \\(g\\) is a linear function with slope \\(\\pm 1\\) , hence done.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2010/3, proposed by Gabriel Carroll (USA) \n"}} -{"year": "2010", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(P\\) be a point interior to triangle \\(A B C\\) (with \\(C A\\neq C B\\) ). The lines \\(A P\\) , \\(B P\\) and \\(C P\\) meet again its circumcircle \\(\\Gamma\\) at \\(K\\) , \\(L\\) , \\(M\\) , respectively. The tangent line at \\(C\\) to \\(\\Gamma\\) meets the line \\(A B\\) at \\(S\\) . Show that from \\(S C = S P\\) follows \\(M K = M L\\) .", "solution": "## Problem sta \n\nWe present two solutions using harmonic bundles. \n\n\\(\\P\\) First solution (Evan Chen). Let \\(N\\) be the antipode of \\(M\\) , and let \\(NP\\) meet \\(\\Gamma\\) again at \\(D\\) . Focus only on \\(CDMN\\) for now (ignoring the condition). Then \\(C\\) and \\(D\\) are feet of altitudes in \\(\\triangle MNP\\) ; it is well- known that the circumcircle of \\(\\triangle CDP\\) is orthogonal to \\(\\Gamma\\) (passing through the orthocenter of \\(\\triangle MPN\\) ). \n\n![](data:image/jpeg;base64,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)\n \n\nNow, we are given that point \\(S\\) is such that \\(\\overline{SC}\\) is tangent to \\(\\Gamma\\) , and \\(SC = SP\\) . It follows that \\(S\\) is the circumcenter of \\(\\triangle CDP\\) , and hence \\(\\overline{SC}\\) and \\(\\overline{SD}\\) are tangents to \\(\\Gamma\\) . \n\nThen \\(- 1 = (AB;CD) \\stackrel{P}{=} (KL;MN)\\) . Since \\(\\overline{MN}\\) is a diameter, this implies \\(MK = ML\\) . \n\nRemark. I think it's more natural to come up with this solution in reverse. Namely, suppose we define the points the other way: let \\(\\overline{SD}\\) be the other tangent, so \\((AB;CD) = - 1\\) . Then project through \\(P\\) to get \\((KL;MN) = - 1\\) , where \\(N\\) is the second intersection of \\(\\overline{DP}\\) . However, if \\(ML = MK\\) then \\(KMLN\\) must be a kite. Thus one can recover the solution in reverse. \n\n## \\(\\P\\) Second solution (Sebastian Jeon). We have \n\n\\[SP^{2} = SC^{2} = SA\\cdot SB\\Rightarrow \\angle SPA = \\angle PBA = \\angle LBA = \\angle LKA = \\angle LKP\\] \n\n(the latter half is Reim's theorem). Therefore \\(\\overline{SP}\\) and \\(\\overline{LK}\\) are parallel.\n\n\n\nNow, let \\(\\overline{SP}\\) meet \\(\\Gamma\\) again at \\(X\\) and \\(Y\\) , and let \\(Q\\) be the antipode of \\(P\\) on \\((S)\\) . Then \n\n\\[SP^{2} = SQ^{2} = SX\\cdot SY\\Longrightarrow (PQ;XY) = -1\\Longrightarrow \\angle QCP = 90^{\\circ}\\] \n\nthat \\(\\overline{CP}\\) bisects \\(\\angle XCY\\) . Since \\(\\overline{XY} \\parallel \\overline{KL}\\) , it follows \\(\\overline{CP}\\) bisects to \\(\\angle LCK\\) too.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2010/4, proposed by Marcin Kuczma (POL) \n"}} +{"year": "2010", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(P\\) be a point interior to triangle \\(A B C\\) (with \\(C A\\neq C B\\) ). The lines \\(A P\\) , \\(B P\\) and \\(C P\\) meet again its circumcircle \\(\\Gamma\\) at \\(K\\) , \\(L\\) , \\(M\\) , respectively. The tangent line at \\(C\\) to \\(\\Gamma\\) meets the line \\(A B\\) at \\(S\\) . Show that from \\(S C = S P\\) follows \\(M K = M L\\) .", "solution": "## Problem sta \n\nWe present two solutions using harmonic bundles. \n\n\\(\\P\\) First solution (Evan Chen). Let \\(N\\) be the antipode of \\(M\\) , and let \\(NP\\) meet \\(\\Gamma\\) again at \\(D\\) . Focus only on \\(CDMN\\) for now (ignoring the condition). Then \\(C\\) and \\(D\\) are feet of altitudes in \\(\\triangle MNP\\) ; it is well- known that the circumcircle of \\(\\triangle CDP\\) is orthogonal to \\(\\Gamma\\) (passing through the orthocenter of \\(\\triangle MPN\\) ). \n\n![md5:d8b8d139e13e976dd097e9b2fac4bb14](d8b8d139e13e976dd097e9b2fac4bb14.jpeg)\n \n\nNow, we are given that point \\(S\\) is such that \\(\\overline{SC}\\) is tangent to \\(\\Gamma\\) , and \\(SC = SP\\) . It follows that \\(S\\) is the circumcenter of \\(\\triangle CDP\\) , and hence \\(\\overline{SC}\\) and \\(\\overline{SD}\\) are tangents to \\(\\Gamma\\) . \n\nThen \\(- 1 = (AB;CD) \\stackrel{P}{=} (KL;MN)\\) . Since \\(\\overline{MN}\\) is a diameter, this implies \\(MK = ML\\) . \n\nRemark. I think it's more natural to come up with this solution in reverse. Namely, suppose we define the points the other way: let \\(\\overline{SD}\\) be the other tangent, so \\((AB;CD) = - 1\\) . Then project through \\(P\\) to get \\((KL;MN) = - 1\\) , where \\(N\\) is the second intersection of \\(\\overline{DP}\\) . However, if \\(ML = MK\\) then \\(KMLN\\) must be a kite. Thus one can recover the solution in reverse. \n\n## \\(\\P\\) Second solution (Sebastian Jeon). We have \n\n\\[SP^{2} = SC^{2} = SA\\cdot SB\\Rightarrow \\angle SPA = \\angle PBA = \\angle LBA = \\angle LKA = \\angle LKP\\] \n\n(the latter half is Reim's theorem). Therefore \\(\\overline{SP}\\) and \\(\\overline{LK}\\) are parallel.\n\n\n\nNow, let \\(\\overline{SP}\\) meet \\(\\Gamma\\) again at \\(X\\) and \\(Y\\) , and let \\(Q\\) be the antipode of \\(P\\) on \\((S)\\) . Then \n\n\\[SP^{2} = SQ^{2} = SX\\cdot SY\\Longrightarrow (PQ;XY) = -1\\Longrightarrow \\angle QCP = 90^{\\circ}\\] \n\nthat \\(\\overline{CP}\\) bisects \\(\\angle XCY\\) . Since \\(\\overline{XY} \\parallel \\overline{KL}\\) , it follows \\(\\overline{CP}\\) bisects to \\(\\angle LCK\\) too.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2010/4, proposed by Marcin Kuczma (POL) \n"}} {"year": "2010", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Each of the six boxes \\(B_{1}\\) , \\(B_{2}\\) , \\(B_{3}\\) , \\(B_{4}\\) , \\(B_{5}\\) , \\(B_{6}\\) initially contains one coin. The following two types of operations are allowed: \n\na) Choose a non-empty box \\(B_{j}\\) , \\(1\\leq j\\leq 5\\) , remove one coin from \\(B_{j}\\) and add two coins to \\(B_{j + 1}\\) ; \nb) Choose a non-empty box \\(B_{k}\\) , \\(1\\leq k\\leq 4\\) , remove one coin from \\(B_{k}\\) and swap the contents (possibly empty) of the boxes \\(B_{k + 1}\\) and \\(B_{k + 2}\\) . \n\nDetermine if there exists a finite sequence of operations of the allowed types, such that the five boxes \\(B_{1}\\) , \\(B_{2}\\) , \\(B_{3}\\) , \\(B_{4}\\) , \\(B_{5}\\) become empty, while box \\(B_{6}\\) contains exactly \\(2010^{2010^{2010}}\\) coins.", "solution": "Each o \n\nFirst, \n\n\\[(1,1,1,1,1,1) \\to (0,3,1,0,3,1) \\to (0,0,7,0,0,7)\\] \\[\\to (0,0,6,2,0,7) \\to (0,0,6,1,2,7) \\to (0,0,6,1,0,11)\\] \\[\\to (0,0,6,0,11,0) \\to (0,0,5,11,0,0).\\] \n\nand henceforth we ignore boxes \\(B_{1}\\) and \\(B_{2}\\) , looking at just the last four boxes; so we write the current position as \\((5,11,0,0)\\) . \n\nWe prove a lemma: \n\nClaim — Let \\(k \\geq 0\\) and \\(n > 0\\) . From \\((k, n, 0, 0)\\) we may reach \\((k - 1, 2^{n}, 0, 0)\\) . \n\nProof. Working with only the last three boxes for now, \n\n\\[(n,0,0)\\to (n - 1,2,0)\\to (n - 1,0,4)\\] \\[\\to (n - 2,4,0)\\to (n - 2,0,8)\\] \\[\\to (n - 3,8,0)\\to (n - 3,0,16)\\] \\[\\to \\dots \\to (1,2^{n - 1},0)\\to (1,0,2^{n})\\to (0,2^{n},0).\\] \n\nFinally we have \\((k, n, 0, 0) \\to (k, 0, 2^{n}, 0) \\to (k - 1, 2^{n}, 0, 0)\\) . \n\nNow from \\((5,11,0,0)\\) we go as follows: \n\n\\[(5,11,0,0)\\to (4,2^{11},0,0)\\to \\left(3,2^{21},0,0\\right)\\to \\left(2,2^{22^{11}},0,0\\right)\\] \\[\\to \\left(1,2^{22^{11}},0,0\\right)\\to \\left(0,2^{22^{21^{11}}},0,0\\right).\\] \n\nLet \\(A = 2^{22^{22^{11}}} > 2010^{2010^{2010}} = B\\) . Then by using move 2 repeatedly on the fourth box (i.e., throwing away several coins by swapping the empty \\(B_{5}\\) and \\(B_{6}\\) ), we go from \\((0, A, 0, 0)\\) to \\((0, B / 4, 0, 0)\\) . From there we reach \\((0, 0, 0, B)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2010/5, proposed by Netherlands \n"}} {"year": "2010", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1},a_{2},a_{3},\\ldots\\) be a sequence of positive real numbers, and \\(s\\) be a positive integer, such that \n\n\\[a_{n} = \\max \\{a_{k} + a_{n - k}\\mid 1\\leq k\\leq n - 1\\} \\mathrm{~for~all~}n > s.\\] \n\nProve there exist positive integers \\(\\ell \\leq s\\) and \\(N\\) , such that \n\n\\[a_{n} = a_{\\ell} + a_{n - \\ell}\\mathrm{~for~all~}n\\geq N.\\]", "solution": "Let \n\n\\[w_{1} = \\frac{a_{1}}{1},\\quad w_{2} = \\frac{a_{2}}{2},\\quad \\ldots ,\\quad w_{s} = \\frac{a_{s}}{s}.\\] \n\n(The choice of the letter \\(w\\) is for \"weight\".) We claim the right choice of \\(\\ell\\) is the one maximizing \\(w_{\\ell}\\) . \n\nOur plan is to view each \\(a_{n}\\) as a linear combination of the weights \\(w_{1},\\ldots ,w_{s}\\) and track their coefficients. \n\nTo this end, let's define an \\(n\\) - type to be a vector \\(T = \\langle t_{1},\\ldots ,t_{s}\\rangle\\) of nonnegative integers such that \n\n\\(n = t_{1} + \\dots +t_{s}\\) ; and \n\n\\(t_{i}\\) is divisible by \\(i\\) for every \\(i\\) . \n\nWe then define its valuation as \\(v(T) = \\sum_{i = 1}^{s}w_{i}t_{i}\\) . \n\nNow we define a \\(n\\) - type to be valid according to the following recursive rule. For \\(1\\leq n\\leq s\\) the only valid \\(n\\) - types are \n\n\\[T_{1} = \\langle 1,0,0,\\ldots ,0\\rangle\\] \\[T_{2} = \\langle 0,2,0,\\ldots ,0\\rangle\\] \\[T_{3} = \\langle 0,0,3,\\ldots ,0\\rangle\\] \\[\\vdots\\] \\[T_{s} = \\langle 0,0,0,\\ldots ,s\\rangle\\] \n\nfor \\(n = 1,\\ldots ,s\\) , respectively. Then for any \\(n > s\\) , an \\(n\\) - type is valid if it can be written as the sum of a valid \\(k\\) - type and a valid \\((n - k)\\) - type, componentwise. These represent the linear combinations possible in the recursion; in other words the recursion in the problem is phrased as \n\n\\[a_{n} = \\max_{T\\mathrm{~is~a~valid~}n\\mathrm{-type}}v(T).\\] \n\nIn fact, we have the following description of valid \\(n\\) - types: \n\nClaim — Assume \\(n > s\\) . Then an \\(n\\) - type \\(\\langle t_{1},\\ldots ,t_{s}\\rangle\\) is valid if and only if either \n\nthere exist indices \\(i< j\\) with \\(i + j > s\\) , \\(t_{i}\\geq i\\) and \\(t_{j}\\geq j\\) ; or \n\nthere exists an index \\(i > s / 2\\) with \\(t_{i}\\geq 2i\\) .\n\n\n\nProof. Immediate by forwards induction on \\(n > s\\) that all \\(n\\) - types have this property. \n\nThe reverse direction is by downwards induction on \\(n\\) . Indeed if \\(\\sum_{i} \\frac{t_{i}}{i} > 2\\) , then we may subtract off on of \\(\\{T_{1}, \\ldots , T_{s}\\}\\) while preserving the condition; and the case \\(\\sum_{i} \\frac{t_{i}}{i} = 2\\) is essentially by definition. \\(\\square\\) \n\nRemark. The claim is a bit confusingly stated in its two cases; really the latter case should be thought of as the situation \\(i = j\\) but requiring that \\(t_{i} / i\\) is counted with multiplicity. \n\nNow, for each \\(n > s\\) we pick a valid \\(n\\) - type \\(T_{n}\\) with \\(a_{n} = v(T_{n})\\) ; if there are ties, we pick one for which the \\(\\ell\\) th entry is as large as possible. \n\nClaim — For any \\(n > s\\) and index \\(i \\neq \\ell\\) , the \\(i\\) th entry of \\(T_{n}\\) is at most \\(2s + \\ell i\\) . \n\nProof. If not, we can go back \\(i\\ell\\) steps to get a valid \\((n - i\\ell)\\) - type \\(T\\) achieved by decreasing the \\(i\\) th entry of \\(T_{n}\\) by \\(i\\ell\\) . But then we can add \\(\\ell\\) to the \\(\\ell\\) th entry \\(i\\) times to get another \\(n\\) - type \\(T^{\\prime}\\) which obviously has valuation at least as large, but with larger \\(\\ell\\) th entry. \\(\\square\\) \n\nNow since all other entries in \\(T_{n}\\) are bounded, eventually the sequence \\((T_{n})_{n > s}\\) just consists of repeatedly adding 1 to the \\(\\ell\\) th entry, as required. \n\nRemark. One big step is to consider \\(w_{k} = a_{k} / k\\) . You can get this using wishful thinking or by examining small cases. (In addition this normalization makes it easier to see why the largest \\(w\\) plays an important role, since then in the definition of type, the \\(n\\) - types all have a sum of \\(n\\) . Unfortunately, it makes the characterization of valid \\(n\\) - types somewhat clumsier too.)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2010-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2010/6, proposed by Morteza Saghafiyan (IRN) \n"}} diff --git a/IMO/segmented/en-IMO-2011-notes.jsonl b/IMO/segmented/en-IMO-2011-notes.jsonl index ee6d5e9534cf9a9501957e4d0a127f93eac79d25..7994396529b080b8c940f946ad0c7e88fa7b033f 100644 --- a/IMO/segmented/en-IMO-2011-notes.jsonl +++ b/IMO/segmented/en-IMO-2011-notes.jsonl @@ -3,4 +3,4 @@ {"year": "2011", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(f\\colon \\mathbb{R}\\to \\mathbb{R}\\) be a real-valued function defined on the set of real numbers that satisfies \n\n\\[f(x + y)\\leq yf(x) + f(f(x))\\] \n\nfor all real numbers \\(x\\) and \\(y\\) . Prove that \\(f(x) = 0\\) for all \\(x\\leq 0\\)", "solution": ") \n\nWe begin by rewriting the given as \n\n\\[f(z)\\leq (z - x)f(x) + f(f(x))\\quad \\forall x,z\\in \\mathbb{R}\\qquad (\\heartsuit)\\] \n\n(which is better anyways since control over inputs to \\(f\\) is more valuable). We start by eliminating the double \\(f\\) : let \\(z = f(w)\\) to get \n\n\\[f(f(w))\\leq (f(w) - x)f(x) + f(f(x))\\] \n\nand then use the symmetry trick to write \n\n\\[f(f(x))\\leq (f(x) - w)f(w) + f(f(w))\\] \n\nso that when we sum we get \n\n\\[w f(w) + x f(x)\\leq 2f(x)f(w).\\] \n\nNext we use cancellation trick: set \\(w = 2f(x)\\) in the above to get \n\n\\[x f(x)\\leq 0\\quad \\forall x\\in \\mathbb{R}.\\qquad (\\spadesuit)\\] \n\nClaim — For every \\(p\\in \\mathbb{R}\\) , we have \\(f(p)\\leq 0\\) \n\nProof. Assume \\(f(p) > 0\\) for some \\(p\\in \\mathbb{R}\\) . Then for any negative number \\(z\\) \n\n\\[0\\leq f(z)\\leq \\stackrel {(\\heartsuit)}{(z - p)}f(p) + f(f(p)).\\] \n\nwhich is false if we let \\(z\\to - \\infty\\) \n\nTogether with \\((\\spadesuit)\\) we derive \\(f(x) = 0\\) for \\(x< 0\\) . Finally, letting \\(x\\) and \\(z\\) be any negative numbers in \\((\\heartsuit)\\) , we get \\(f(0)\\geq 0\\) , so \\(f(0) = 0\\) too. \n\nRemark. As another corollary of the claim, \\(f(f(x)) = 0\\) for all \\(x\\) . \n\nRemark. A nontrivial example of a working \\(f\\) is to take \n\n \n\nor some other negative function growing rapidly in absolute value for \\(x > 0\\) .\n\n\n\n■\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2011-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2011/3, proposed by Igor Voronovich, BLR \n"}} {"year": "2011", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(n > 0\\) be an integer. We are given a balance and \\(n\\) weights of weight \\(2^{0}\\) , \\(2^{1}\\) , ..., \\(2^{n - 1}\\) . We are to place each of the \\(n\\) weights on the balance, one after another, in such a way that the right pan is never heavier than the left pan. At each step we choose one of the weights that has not yet been placed on the balance, and place it on either the left pan or the right pan, until all of the weights have been placed. Determine the number of ways in which this can be done.", "solution": "The answer is \\(a_{n} = (2n - 1)!!\\) \n\nWe refer to what we're counting as a valid \\(n\\) - sequence: an order of which weights to place, and whether to place them on the left or right pan. \n\nWe use induction, with \\(n = 1\\) being obvious. Now consider the weight \\(2^{0} = 1\\) \n\n- If we delete it from any valid \\(n\\) -sequence, we get a valid \\((n - 1)\\) -sequence with all weights doubled. \n\n- Given a valid \\((n - 1)\\) -sequence with all weights doubled, we may insert \\(2^{0} = 1\\) it into \\(2n - 1\\) ways. Indeed, we may insert it anywhere, and designate it either left or right, except we may not designate right if we choose to insert \\(2^{0} = 1\\) at the very beginning. \n\nConsequently, we have that \n\n\\[a_{n} = (2n - 1)\\cdot a_{n - 1}.\\] \n\nSince \\(a_{1} = 1\\) , the conclusion follows. \n\nRemark (Gabriel Levin). An alternate approach can be done by considering the heaviest weight \\(2^{n - 1}\\) instead of the lightest weight \\(2^{0} = 1\\) . This gives a more complicated recursion: \n\n\\[a_{n} = \\sum_{k = 0}^{n - 1}\\binom{n - 1}{k}2^{n - k - 1}(n - k - 1)!a_{k}\\] \n\nby summing over the index \\(k\\) corresponding to the number of weights placed before the heaviest weight \\(2^{n - 1}\\) is placed. \n\nThis recursion can then be rewritten as \n\n\\[a_{n} = \\sum_{k = 0}^{n - 1}\\binom{n - 1}{k}2^{n - k - 1}(n - k - 1)!a_{k}\\] \\[\\qquad = (n - 1)!\\sum_{k = 0}^{n - 1}\\frac{2^{n - k - 1}a_{k}}{k!}\\] \\[\\qquad = 2(n - 1)!\\sum_{k = 0}^{n - 1}\\frac{2^{(n - 1) - k - 1}a_{k}}{k!}\\]\n\n\n\n\\[= 2(n - 1)(n - 2)!\\left(\\sum_{k = 0}^{(n - 1) - 1}\\frac{2^{(n - 1) - k - 1}a_k}{k!}\\right) + 2(n - 1)!\\frac{\\frac{1}{2}a_{n - 1}}{(n - 1)!}\\] \\[= 2(n - 1)a_{n - 1} + a_{n - 1}\\] \\[= (2n - 1)a_{n - 1}\\] \n\nand since \\(a_{1} = 1\\) , we have \\(a_{n} = (2n - 1)!!\\) by induction on \\(n\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2011-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2011/4, proposed by Morteza Saghafian (IRN) \n"}} {"year": "2011", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(f\\colon \\mathbb{Z}\\to \\mathbb{Z}_{>0}\\) be a function such that \\(f(m - n)\\mid f(m) - f(n)\\) for \\(m,n\\in \\mathbb{Z}\\) Prove that if \\(m,n\\in \\mathbb{Z}\\) satisfy \\(f(m)\\leq f(n)\\) then \\(f(m)\\mid f(n)\\)", "solution": "\\) \n\nLet \\(P(m,n)\\) denote the given assertion. First, we claim \\(f\\) is even. This is straight calculation: \n\n\\[\\bullet P(x,0)\\Rightarrow f(x)\\mid f(x) - f(0)\\Rightarrow f(x)\\mid M:= f(0).\\] \\[\\bullet P(0,x)\\Rightarrow f(-x)\\mid M - f(x)\\Rightarrow f(-x)\\mid f(x).\\mathrm{Analogously},f(x)\\mid f(-x).\\mathrm{So\\] \\[f(x) = f(-x)\\mathrm{and} f\\mathrm{~is~even.}\\] \n\nClaim — Let \\(x,y,z\\) be integers with \\(x + y + z = 0\\) . Then among \\(f(x),f(y),f(z)\\) two of them are equal and divide the third. \n\nProof. Let \\(a = f(\\pm x)\\) , \\(b = f(\\pm y)\\) , \\(c = f(\\pm z)\\) be positive integers. Note that \n\n\\[a\\mid b - c\\] \\[b\\mid c - a\\] \\[c\\mid a - b\\] \n\nfrom \\(P(y, - z)\\) and similarly. WLOG \\(c = \\max (a,b,c)\\) ; then \\(c > |a - b|\\) so \\(a = b\\) . Thus \\(a = b\\mid c\\) from the first two. \\(\\square\\) \n\nThis implies the problem, by taking \\(x\\) and \\(y\\) in the previous claim to be the integers \\(m\\) and \\(n\\) . \n\nRemark. At https://aops.com/community/c6h418981p2381909, Davi Medeiros gives the following characterization of functions \\(f\\) satisfying the hypothesis. \n\nPick \\(f(0)\\) , \\(k\\) positive integers, a chain \\(d_{1}\\mid d_{2}\\mid \\dots \\mid d_{k}\\) of divisors of \\(f(0)\\) , and positive integers \\(a_{1},a_{2},\\ldots ,a_{k - 1}\\) , greater than 1 (if \\(k = 1\\) , \\(a_{i}\\) doesn't exist, for every \\(i\\) ). We'll define \\(f\\) as follows: \n\n\\(f(n) = d_{1}\\) , for every integer \\(n\\) that is not divisible by \\(a_{1}\\) ; \\(f(a_{1}n) = d_{2}\\) , for every integer \\(n\\) that is not divisible by \\(a_{2}\\) ; \\(f(a_{1}a_{2}n) = d_{3}\\) , for every integer \\(n\\) that is not divisible by \\(a_{3}\\) ; \\(f(a_{1}a_{2}a_{3}n) = d_{4}\\) , for every integer \\(n\\) that is not divisible by \\(a_{4}\\) ; \\(\\dots\\) \\(f(a_{1}a_{2}\\ldots a_{k - 1}n) = d_{k}\\) , for every integer \\(n\\) ;", "metadata": {"resource_path": "IMO/segmented/en-IMO-2011-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2011/5, proposed by Mahyar Sefidgaran (IRN) \n"}} -{"year": "2011", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an acute triangle with circumcircle \\(\\Gamma\\) . Let \\(\\ell\\) be a tangent line to \\(\\Gamma\\) and let \\(\\ell_{a}\\) , \\(\\ell_{b}\\) , \\(\\ell_{c}\\) be the lines obtained by reflecting \\(\\ell\\) in the lines \\(B C\\) , \\(C A\\) , and \\(A B\\) , respectively. Show that the circumcircle of the triangle determined by the lines \\(\\ell_{a}\\) , \\(\\ell_{b}\\) , and \\(\\ell_{c}\\) is tangent to the circle \\(\\Gamma\\) .", "solution": "This is a hard problem with many beautiful solutions. The following solution is not very beautiful but not too hard to find during an olympiad, as the only major insight it requires is the construction of \\(A_{2}\\) , \\(B_{2}\\) , and \\(C_{2}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nWe apply complex numbers with \\(\\omega\\) the unit circle and \\(p = 1\\) . Let \\(A_{1} = \\ell_{B} \\cap \\ell_{C}\\) , and let \\(a_{2} = a^{2}\\) (in other words, \\(A_{2}\\) is the reflection of \\(P\\) across the diameter of \\(\\omega\\) through \\(A\\) ). Define the points \\(B_{1}\\) , \\(C_{1}\\) , \\(B_{2}\\) , \\(C_{2}\\) similarly. \n\nWe claim that \\(\\overline{A_{1}A_{2}}\\) , \\(\\overline{B_{1}B_{2}}\\) , \\(\\overline{C_{1}C_{2}}\\) concur at a point on \\(\\Gamma\\) . \n\nWe begin by finding \\(A_{1}\\) . If we reflect the points \\(1 + i\\) and \\(1 - i\\) over \\(\\overline{AB}\\) , then we get two points \\(Z_{1}\\) , \\(Z_{2}\\) with \n\n\\[z_{1} = a + b - a b(1 - i) = a + b - a b + a b i\\] \\[z_{2} = a + b - a b(1 + i) = a + b - a b - a b i.\\] \n\nTherefore, \n\n\\[z_{1} - z_{2} = 2a b i\\] \\[\\overline{{z_{1}z_{2}}} -\\overline{{z_{2}}} z_{1} = -2i\\left(a + b + \\frac{1}{a} +\\frac{1}{b} -2\\right).\\]\n\n\n\nNow \\(\\ell_{C}\\) is the line \\(\\overline{Z_{1}Z_{2}}\\) , so with the analogous equation \\(\\ell_{B}\\) we obtain: \n\n\\[a_{1} = \\frac{-2i\\left(a + b + \\frac{1}{a} +\\frac{1}{b} - 2\\right)(2a c i) + 2i\\left(a + c + \\frac{1}{a} +\\frac{1}{c} - 2\\right)(2a b i)}{\\left(-\\frac{2}{a b} i\\right)(2a c i) - \\left(-\\frac{2}{a c} i\\right)(2a b i)}\\] \\[\\quad = \\frac{\\left[c - b\\right]a^{2} + \\left[\\frac{c}{b} -\\frac{b}{c} -2c + 2b\\right]a + (c - b)}{\\frac{c}{b} -\\frac{b}{c}}\\] \\[\\quad = a + \\frac{(c - b)\\left[a^{2} - 2a + 1\\right]}{(c - b)(c + b) / b c}\\] \\[\\quad = a + \\frac{b c}{b + c} (a - 1)^{2}.\\] \n\nThen the second intersection of \\(\\overline{A_{1}A_{2}}\\) with \\(\\omega\\) is given by \n\n\\[\\frac{a_{1} - a_{2}}{1 - a_{2}\\overline{a_{1}}} = \\frac{a + \\frac{b c}{b + c}(a - 1)^{2} - a^{2}}{1 - a - a^{2}\\cdot\\frac{(1 - 1 / a)^{2}}{b + c}}\\] \\[\\qquad = \\frac{a + \\frac{b c}{b + c}(1 - a)}{1 - \\frac{1}{b + c}(1 - a)}\\] \\[\\qquad = \\frac{a b + b c + c a - a b c}{a + b + c - 1}.\\] \n\nThus, the claim is proved. \n\nFinally, it suffices to show \\(\\overline{A_{1}B_{1}}\\parallel \\overline{A_{2}B_{2}}\\) . One can also do this with complex numbers; it amounts to showing \\(a^{2} - b^{2}\\) , \\(a - b\\) , \\(i\\) (corresponding to \\(\\overline{A_{2}B_{2}}\\) , \\(\\overline{A_{1}B_{1}}\\) , \\(\\overline{PP}\\) ) have their arguments an arithmetic progression, equivalently \n\n\\[\\frac{(a - b)^{2}}{i(a^{2} - b^{2})}\\in \\mathbb{R}\\iff \\frac{(a - b)^{2}}{i(a^{2} - b^{2})} = \\frac{\\left(\\frac{1}{a} - \\frac{1}{b}\\right)^{2}}{\\frac{1}{i}\\left(\\frac{1}{a^{2}} - \\frac{1}{b^{2}}\\right)}\\] \n\nwhich is obvious. \n\nRemark. One can use directed angle chasing for this last part too. Let \\(\\overline{BC}\\) meet \\(\\ell\\) at \\(K\\) and \\(\\overline{B_{2}C_{2}}\\) meet \\(\\ell\\) at \\(L\\) . Evidently \n\n\\[-\\angle B_{2}L P = \\angle L P B_{2} + \\angle P B_{2}L\\] \\[\\qquad = 2\\angle K P B + \\angle P B_{2}C_{2}\\] \\[\\qquad = 2\\angle K P B + 2\\angle P B C\\] \\[\\qquad = -2\\angle P K B\\] \\[\\qquad = \\angle P K B_{1}\\] \n\nas required.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2011-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2011/6, proposed by Japan \n"}} +{"year": "2011", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an acute triangle with circumcircle \\(\\Gamma\\) . Let \\(\\ell\\) be a tangent line to \\(\\Gamma\\) and let \\(\\ell_{a}\\) , \\(\\ell_{b}\\) , \\(\\ell_{c}\\) be the lines obtained by reflecting \\(\\ell\\) in the lines \\(B C\\) , \\(C A\\) , and \\(A B\\) , respectively. Show that the circumcircle of the triangle determined by the lines \\(\\ell_{a}\\) , \\(\\ell_{b}\\) , and \\(\\ell_{c}\\) is tangent to the circle \\(\\Gamma\\) .", "solution": "This is a hard problem with many beautiful solutions. The following solution is not very beautiful but not too hard to find during an olympiad, as the only major insight it requires is the construction of \\(A_{2}\\) , \\(B_{2}\\) , and \\(C_{2}\\) . \n\n![md5:1373e93dbe1b167c20a29ddb75f0564b](1373e93dbe1b167c20a29ddb75f0564b.jpeg)\n \n\nWe apply complex numbers with \\(\\omega\\) the unit circle and \\(p = 1\\) . Let \\(A_{1} = \\ell_{B} \\cap \\ell_{C}\\) , and let \\(a_{2} = a^{2}\\) (in other words, \\(A_{2}\\) is the reflection of \\(P\\) across the diameter of \\(\\omega\\) through \\(A\\) ). Define the points \\(B_{1}\\) , \\(C_{1}\\) , \\(B_{2}\\) , \\(C_{2}\\) similarly. \n\nWe claim that \\(\\overline{A_{1}A_{2}}\\) , \\(\\overline{B_{1}B_{2}}\\) , \\(\\overline{C_{1}C_{2}}\\) concur at a point on \\(\\Gamma\\) . \n\nWe begin by finding \\(A_{1}\\) . If we reflect the points \\(1 + i\\) and \\(1 - i\\) over \\(\\overline{AB}\\) , then we get two points \\(Z_{1}\\) , \\(Z_{2}\\) with \n\n\\[z_{1} = a + b - a b(1 - i) = a + b - a b + a b i\\] \\[z_{2} = a + b - a b(1 + i) = a + b - a b - a b i.\\] \n\nTherefore, \n\n\\[z_{1} - z_{2} = 2a b i\\] \\[\\overline{{z_{1}z_{2}}} -\\overline{{z_{2}}} z_{1} = -2i\\left(a + b + \\frac{1}{a} +\\frac{1}{b} -2\\right).\\]\n\n\n\nNow \\(\\ell_{C}\\) is the line \\(\\overline{Z_{1}Z_{2}}\\) , so with the analogous equation \\(\\ell_{B}\\) we obtain: \n\n\\[a_{1} = \\frac{-2i\\left(a + b + \\frac{1}{a} +\\frac{1}{b} - 2\\right)(2a c i) + 2i\\left(a + c + \\frac{1}{a} +\\frac{1}{c} - 2\\right)(2a b i)}{\\left(-\\frac{2}{a b} i\\right)(2a c i) - \\left(-\\frac{2}{a c} i\\right)(2a b i)}\\] \\[\\quad = \\frac{\\left[c - b\\right]a^{2} + \\left[\\frac{c}{b} -\\frac{b}{c} -2c + 2b\\right]a + (c - b)}{\\frac{c}{b} -\\frac{b}{c}}\\] \\[\\quad = a + \\frac{(c - b)\\left[a^{2} - 2a + 1\\right]}{(c - b)(c + b) / b c}\\] \\[\\quad = a + \\frac{b c}{b + c} (a - 1)^{2}.\\] \n\nThen the second intersection of \\(\\overline{A_{1}A_{2}}\\) with \\(\\omega\\) is given by \n\n\\[\\frac{a_{1} - a_{2}}{1 - a_{2}\\overline{a_{1}}} = \\frac{a + \\frac{b c}{b + c}(a - 1)^{2} - a^{2}}{1 - a - a^{2}\\cdot\\frac{(1 - 1 / a)^{2}}{b + c}}\\] \\[\\qquad = \\frac{a + \\frac{b c}{b + c}(1 - a)}{1 - \\frac{1}{b + c}(1 - a)}\\] \\[\\qquad = \\frac{a b + b c + c a - a b c}{a + b + c - 1}.\\] \n\nThus, the claim is proved. \n\nFinally, it suffices to show \\(\\overline{A_{1}B_{1}}\\parallel \\overline{A_{2}B_{2}}\\) . One can also do this with complex numbers; it amounts to showing \\(a^{2} - b^{2}\\) , \\(a - b\\) , \\(i\\) (corresponding to \\(\\overline{A_{2}B_{2}}\\) , \\(\\overline{A_{1}B_{1}}\\) , \\(\\overline{PP}\\) ) have their arguments an arithmetic progression, equivalently \n\n\\[\\frac{(a - b)^{2}}{i(a^{2} - b^{2})}\\in \\mathbb{R}\\iff \\frac{(a - b)^{2}}{i(a^{2} - b^{2})} = \\frac{\\left(\\frac{1}{a} - \\frac{1}{b}\\right)^{2}}{\\frac{1}{i}\\left(\\frac{1}{a^{2}} - \\frac{1}{b^{2}}\\right)}\\] \n\nwhich is obvious. \n\nRemark. One can use directed angle chasing for this last part too. Let \\(\\overline{BC}\\) meet \\(\\ell\\) at \\(K\\) and \\(\\overline{B_{2}C_{2}}\\) meet \\(\\ell\\) at \\(L\\) . Evidently \n\n\\[-\\angle B_{2}L P = \\angle L P B_{2} + \\angle P B_{2}L\\] \\[\\qquad = 2\\angle K P B + \\angle P B_{2}C_{2}\\] \\[\\qquad = 2\\angle K P B + 2\\angle P B C\\] \\[\\qquad = -2\\angle P K B\\] \\[\\qquad = \\angle P K B_{1}\\] \n\nas required.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2011-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2011/6, proposed by Japan \n"}} diff --git a/IMO/segmented/en-IMO-2012-notes.jsonl b/IMO/segmented/en-IMO-2012-notes.jsonl index bd674d6e67863138c4e3497447e9f1157be32373..f38d30b5fc7e50d1bc236bea637249a8e0e972ff 100644 --- a/IMO/segmented/en-IMO-2012-notes.jsonl +++ b/IMO/segmented/en-IMO-2012-notes.jsonl @@ -2,5 +2,5 @@ {"year": "2012", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{2}\\) , \\(a_{3}\\) , ..., \\(a_{n}\\) be positive reals with product 1, where \\(n \\geq 3\\) . Show that \n\n\\[(1 + a_{2})^{2}(1 + a_{3})^{3}\\dots (1 + a_{n})^{n} > n^{n}.\\]", "solution": "L \n\nTry the dumbest thing possible: by AM- GM, \n\n\\[(1 + a_{2})^{2}\\geq 2^{2}a_{2}\\] \\[(1 + a_{3})^{3} = \\left(\\frac{1}{2} +\\frac{1}{2} +a_{3}\\right)^{3}\\geq \\frac{3^{3}}{2^{2}}a_{3}\\] \\[(1 + a_{4})^{4} = \\left(\\frac{1}{3} +\\frac{1}{3} +\\frac{1}{3} +a_{4}\\right)^{4}\\geq \\frac{4^{4}}{3^{3}}a_{4}\\] \\[\\qquad \\vdots\\] \n\nand so on. Multiplying these all gives the result. The inequality is strict since it's not possible that \\(a_{2} = 1\\) , \\(a_{3} = \\frac{1}{2}\\) , et cetera.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2012-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2012/2, proposed by Angelo di Pasquale (AUS) \n"}} {"year": "2012", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "The liar's guessing game is a game played between two players \\(A\\) and \\(B\\) . The rules of the game depend on two fixed positive integers \\(k\\) and \\(n\\) which are known to both players. \n\nAt the start of the game \\(A\\) chooses integers \\(x\\) and \\(N\\) with \\(1 \\leq x \\leq N\\) . Player \\(A\\) keeps \\(x\\) secret, and truthfully tells \\(N\\) to player \\(B\\) . Player \\(B\\) now tries to obtain information about \\(x\\) by asking player \\(A\\) questions as follows: each question consists of \\(B\\) specifying an arbitrary set \\(S\\) of positive integers (possibly one specified in some previous question), and asking \\(A\\) whether \\(x\\) belongs to \\(S\\) . Player \\(B\\) may ask as many questions as he wishes. After each question, player \\(A\\) must immediately answer it with yes or no, but is allowed to lie as many times as she wants; the only restriction is that, among any \\(k + 1\\) consecutive answers, at least one answer must be truthful. \n\nAfter \\(B\\) has asked as many questions as he wants, he must specify a set \\(X\\) of at most \\(n\\) positive integers. If \\(x\\) belongs to \\(X\\) , then \\(B\\) wins; otherwise, he loses. Prove that: \n\n(a) If \\(n \\geq 2^{k}\\) , then \\(B\\) can guarantee a win. \n(b) For all sufficiently large \\(k\\) , there exists an integer \\(n \\geq (1.99)^{k}\\) such that \\(B\\) cannot guarantee a win.", "solution": "Call the players Alice and Bob. \n\nPart (a): We prove the following. \n\nClaim — If \\(N\\geq 2^{k} + 1\\) , then in \\(2k + 1\\) questions, Bob can rule out some number in \\(\\{1,\\ldots ,2^{k} + 1\\}\\) form being equal to \\(x\\) . \n\nProof. First, Bob asks the question \\(S_{0} = \\{2^{k} + 1\\}\\) until Alice answers \"yes\" or until Bob has asked \\(k + 1\\) questions. If Alice answers \"no\" to all of these then Bob rules out \\(2^{k} + 1\\) . So let's assume Alice just said \"yes\". \n\nNow let \\(T = \\{1,\\ldots ,2^{k}\\}\\) . Then, he asks \\(k\\) - follow up questions \\(S_{1}\\) , ..., \\(S_{k}\\) defined as follows: \n\n- \\(S_{1} = \\{1,3,5,7,\\ldots ,2^{k} - 1\\}\\) consists of all numbers in \\(T\\) whose least significant digit in binary is 1. \n- \\(S_{2} = \\{2,3,6,7,\\ldots ,2^{k} - 2,2^{k} - 1\\}\\) consists of all numbers in \\(T\\) whose second least significant digit in binary is 1. \n- More generally \\(S_{i}\\) consists of all numbers in \\(T\\) whose \\(i\\)th least significant digit in binary is 1. \n\nWLOG Alice answers these all as \"yes\" (the other cases are similar). Among the last \\(k + 1\\) answers at least one must be truthful, and the number \\(2^{k}\\) (having zeros in all relevant digits) does not appear in any of \\(S_{0}\\) , ..., \\(S_{k}\\) and is ruled out. \\(\\square\\)\n\n\n\nThus in this way Bob can repeatedly find non- possibilities for \\(x\\) (and then relabel the remaining candidates \\(1, \\ldots , N - 1\\) ) until he arrives at a set of at most \\(2^{k}\\) numbers. \n\nPart (b): It suffices to consider \\(n = \\lceil 1.99^{k}\\rceil\\) and \\(N = n + 1\\) for large \\(k\\) . At the \\(t\\) th step, Bob asks some question \\(S_{t}\\) ; we phrase each of Alice's answers in the form \" \\(x \\notin B_{t}\\) \", where \\(B_{t}\\) is either \\(S_{t}\\) or its complement. (You may think of these as \"bad sets\"; the idea is to show we can avoid having any number appear in \\(k + 1\\) consecutive bad sets, preventing Bob from ruling out any numbers.) \n\nMain idea: for every number \\(1 \\leq x \\leq N\\) , at time step \\(t\\) we define its weight to be \n\n\\[w(x) = 1.998^{e}\\] \n\nwhere \\(e\\) is the largest number such that \\(x \\in B_{t - 1} \\cap B_{t - 2} \\cap \\dots \\cap B_{t - e}\\) . \n\nClaim — Alice can ensure the total weight never exceeds \\(1.998^{k + 1}\\) for large \\(k\\) . \n\nProof. Let \\(W_{t}\\) denote the sum of weights after the \\(t\\) th question. We have \\(W_{0} = N < 1000n\\) . We will prove inductively that \\(W_{t} < 1000n\\) always. \n\nAt time \\(t\\) , Bob specifies a question \\(S_{t}\\) . We have Alice choose \\(B_{t}\\) as whichever of \\(S_{t}\\) or \\(\\overline{S_{t}}\\) has lesser total weight, hence at most \\(W_{t} / 2\\) . The weights of for \\(B_{t}\\) increase by a factor of 1.998, while the weights for \\(\\overline{B_{t}}\\) all reset to 1. So the new total weight after time \\(t\\) is \n\n\\[W_{t + 1} \\leq 1.998 \\cdot \\frac{W_{t}}{2} + \\# \\overline{B_{t}} \\leq 0.999W_{t} + n.\\] \n\nThus if \\(W_{t} < 1000n\\) then \\(W_{t + 1} < 1000n\\) . \n\nTo finish, note that \\(1000n < 1000 \\left(1.99^{k} + 1\\right) < 1.998^{k + 1}\\) for \\(k\\) large. \n\nIn particular, no individual number can have weight \\(1.998^{k + 1}\\) . Thus for every time step \\(t\\) we have \n\n\\[B_{t} \\cap B_{t + 1} \\cap \\dots \\cap B_{t + k} = \\emptyset .\\] \n\nThen once Bob stops, if he declares a set of \\(n\\) positive integers, and \\(x\\) is an integer Bob did not choose, then Alice's question history is consistent with \\(x\\) being Alice's number, as among any \\(k + 1\\) consecutive answers she claimed that \\(x \\in \\overline{B_{t}}\\) for some \\(t\\) in that range. \n\nRemark (Motivation). In our \\(B_{t}\\) setup, let's think backwards. The problem is equivalent to avoiding \\(e = k + 1\\) at any time step \\(t\\) , for any number \\(x\\) . That means \n\n- have at most two elements with \\(e = k\\) at time \\(t - 1\\) ,- thus have at most four elements with \\(e = k - 1\\) at time \\(t - 2\\) ,- thus have at most eight elements with \\(e = k - 2\\) at time \\(t - 3\\) ,- and so on. \n\nWe already exploited this in solving part (a). In any case it's now natural to try letting \\(w(x) = 2^{e}\\) , so that all the cases above sum to \"equally bad\" situations: since \\(8 \\cdot 2^{k - 2} = 4 \\cdot 2^{k - 1} = 2 \\cdot 2^{k}\\) , say. \n\nHowever, we then get \\(W_{t + 1} \\leq \\frac{1}{2} (2W_{t}) + n\\) , which can increase without bound due to contributions from numbers resetting to zero. The way to fix this is to change the weight to \\(w(x) = 1.998^{e}\\) , taking advantage of the little extra space we have due to having \\(n \\geq 1.99^{k}\\) rather than \\(n \\geq 2^{k}\\) .\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2012-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2012/3, proposed by David Arthur (CAN) \n"}} {"year": "2012", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Find all functions \\(f: \\mathbb{Z} \\to \\mathbb{Z}\\) such that, for all integers \\(a\\) , \\(b\\) , \\(c\\) that satisfy \\(a + b + c = 0\\) , the following equality holds: \n\n\\[f(a)^{2} + f(b)^{2} + f(c)^{2} = 2f(a)f(b) + 2f(b)f(c) + 2f(c)f(a).\\]", "solution": "arbitrary \\(k\\in \\mathbb{Z}\\) , we have \n\n(i) \\(f(x) = k x^{2}\\) \n\n(ii) \\(f(x) = 0\\) for even \\(x\\) , and \\(f(x) = k\\) for odd \\(x\\) , and \n\n(iii) \\(f(x) = 0\\) for \\(x\\equiv 0\\) (mod 4), \\(f(x) = k\\) for odd \\(x\\) , and \\(f(x) = 4k\\) for \\(x\\equiv 2\\) (mod 4). \n\nThese can be painfully seen to work. (It's more natural to think of these as \\(f(x) = x^{2}\\) , \\(f(x) = x^{2}\\) (mod 4), \\(f(x) = x^{2}\\) (mod 8), and multiples thereof.) \n\nSet \\(a = b = c = 0\\) to get \\(f(0) = 0\\) . Then set \\(c = 0\\) to get \\(f(a) = f(- a)\\) , so \\(f\\) is even. Now \n\n\\[f(a)^{2} + f(b)^{2} + f(a + b)^{2} = 2f(a + b)\\left(f(a) + f(b)\\right) + 2f(a)f(b)\\] \n\nor \n\n\\[(f(a + b) - (f(a) + f(b)))^{2} = 4f(a)f(b).\\] \n\nHence \\(f(a)f(b)\\) is a perfect square for all \\(a,b\\in \\mathbb{Z}\\) . So there exists a \\(\\lambda\\) such that \\(f(n) = \\lambda g(n)^{2}\\) , where \\(g(n)\\geq 0\\) . From here we recover \n\n\\[\\boxed{g(a + b) = \\pm g(a)\\pm g(b).}\\] \n\nAlso \\(g(0) = 0\\) \n\nLet \\(k = g(1)\\neq 0\\) . We now split into cases on \\(g(2)\\) \n\n- \\(g(2) = 0\\) . Put \\(b = 2\\) in original to get \\(g(a + 2) = \\pm g(a) = +g(a)\\) \n\n- \\(g(2) = 2k\\) . Cases on \\(g(4)\\) : \n\n- \\(g(4) = 0\\) , then we get \\((g(n))_{n\\geq 0} = (0,1,2,1,0,1,2,1,\\ldots)\\) . This works. \n\n- \\(g(4) = 4k\\) . This only happens when \\(g(1) = k\\) , \\(g(2) = 2k\\) , \\(g(3) = 3k\\) , \\(g(4) = 4k\\) . Then \n\n\\[*g(5) = \\pm 3k\\pm 2k = \\pm 4k\\pm k.\\] \n\n\\[*g(6) = \\pm 4k\\pm 2k = \\pm 5k\\pm k.\\] \n\n\\\\*... \n\nand so by induction \\(g(n) = nk\\)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2012-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2012/4, proposed by Liam Baker (SAF) \n"}} -{"year": "2012", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with \\(\\angle B C A = 90^{\\circ}\\) , and let \\(D\\) be the foot of the altitude from \\(C\\) . Let \\(X\\) be a point in the interior of the segment \\(C D\\) . Let \\(K\\) be the point on the segment \\(A X\\) such that \\(B K = B C\\) . Similarly, let \\(L\\) be the point on the segment \\(B X\\) such that \\(A L = A C\\) . Let \\(M = \\overline{A L} \\cap \\overline{B K}\\) . Prove that \\(M K = M L\\) .", "solution": "Let \\(\\omega_{A}\\) and \\(\\omega_{B}\\) be the circles through \\(C\\) centered at \\(A\\) and \\(B\\) ; extend rays \\(A K\\) and \\(B L\\) to hit \\(\\omega_{B}\\) and \\(\\omega_{A}\\) again at \\(K^{*}\\) , \\(L^{*}\\) . By radical center \\(X\\) , we have \\(K L K^{*}L^{*}\\) is cyclic, say with circumcircle \\(\\omega\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAH2AjADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKx9Q8TaZp921kZJbm+UAm0tImmlGeRuVQdoPq2B71e0+6mvLRZ57Geydif3M7IXAzwTsZhz9aALVFYl3oFxqF3JJc69qa2zH5bW1dYFUf76KJD/31WpZ2cVhaR2sHmeVGML5srSN1zyzEsfxNAGXc+MPD9rcyWrapDLcxsUkgtgZ5EYdQVQEg+2K1bS6jvbWO5iEojkGVEsTRNj3VgGH4ipsY6UUAYc+t6qlxJFB4V1KVUYqJWntlRwD1H70tg+4B9q1rWSWa1jkntzbysuWiLBih9Mjg1NRQBhz6nr8dxIsXh1JYlYhHF+gLLng4I4z6VrWsk01rHJPAbeVly8RYNsPpkcGpqKAMKfxK1tPJHPoOtKiMVEsdssqsAeo8tmOD7jPtWxbXCXdrHcRrKqSKGCyxtG4+qsAQfYipaKAK1tqNleu6Wt5bztGSriKVWKkcEHB4NWay77w1oWpyeZfaPYzy5yJJIFLg+obGQfoa0LeCO1t47eEFY41CICxOAOByeTQBJRXPv8A8JXYuWT+zNVhzkKd1pKB9fnVj/3zW6JMQCWUCLC7nDMPl45yenFAD6KjhniuYUmglSWJxlXRgysPYjrUlABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVPU21IWoGlJatcswXdcswSNe7YUZYj+7kZ9RVbStGksZ3u7zUrq/vZF2tJI22NRnOEiHyqPflvUmgBdVutXjljt9J02KZ3XLXNzOEhi+oGXY+wAH+0Km0u21C3gf+0tQW8ndt2UgESIMfdVck4/3mJ96vUUAGKKKKACiiigAooooAKKKKACiiigAooooAKKKKACgjIwelFFAGE/hLTEuvtWnibS7gtud7B/KWQ/7aco2fVlJrWvbk2dnLcC3muPLGfKgUM7fQEjNT0UAZ+l65pusrIbG6WSSI4lhYFJYj6OjYZT9QK0KqTaZY3F/Bfy2kLXlvkRTlBvQEYIDdcHPTpUeq6jNpkCTpp9zeRbsSi2AZ41x94J1b6Lk+gNAF+iqmnapY6vaC60+5juISSu5D91h1UjqCO4PIq3QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWLqt7qsl2NM0e22TMoaW/uIz5MCn0HHmPxwoOB1YjgEA2JGZY2ZE3sASFzjJ9KwbTSdS1C7h1DXbnYYmDwadaSEQxMOhduDKw98KOy55rYsrZrSyit3uZrl0XDTTEF3PcnAA/IAVYoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooArxWNpDeT3cVtElzOFEsqoA0gXONx74yapTa/a2msrpt6ktq0uBbTygCK4Yj7qsDww/unBPUZFatQXtla6jZy2l7bx3FtKu14pFDKw9xQBPRVVFt9I0vBeUW1rESWdmlYKo7k5Zjge5qW2uoL21iubWaOaCVQ8ckbBlYHoQR1FAEtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFBOBk9KCQBk8CqQbT9e0ltrR3dhdIVJU5SReh5HUHn60AUtL1yTWr+R7G3DaRECovWbHnyZ/5ZDug5y/Qnpnk1tU2ONIo1jjRUjQBVVRgKB0AFOoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArGtNB/szWHutNuPs9ncFmubErmNnPPmR8/IxP3scN1xnmtmigAorE1m21OC6j1fSpJJpYk2T6ez/ACXMYJPy54SQZOG6Ho3GCupZ3SX1lDdRpKiSoHCyxlHXPZlPIPtQBPRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVkX3inQNOlMN3rFlHP/AM8fOUyH6IPmP5UAa9Fc9/wlsc//ACD9F1u+9CtkYFP0acoD9c0f2l4ouP8Aj38PWluD3vdRww/4DGjg/wDfVAHQ0Vz32XxdP/rNV0i0X+7DYySt/wB9NIB/47TjoGqTD/SPFeqe628NvGv/AKKLf+PUAb9Fc/8A8Ijav/x8arrk3/cUmj/9FstH/CE+Hz/rbOWf3uLuaX/0JjQB0FRPdW8f354l/wB5wKxR4G8KfxeG9Kk/662iP/6EDUieDfC8f3PDejr/ALtjEP8A2WgDROpWCnBvbYH3lX/Gnre2jnC3UJPtIKoDwt4eUYGg6WB7Wcf+FMbwj4acYbw9pJHvZR//ABNAGwrKwyrAj2NLWCfA/hMkn/hGNGBPcWEQP57ab/wg/hof6vSYYf8ArizR/wDoJFAHQUUUUAFFFFABRRWJf6rcy63b6NpewzrtnvZmXctvDngf774IA7DLdgCAO1vS7vWpILFpli0lgWvAjESTjtF7IedxzkgY7k1rxxpDGkcaKkaAKqqMBQOgAp1FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVU1O8ksNOmu4rSW7aIBjDDjey5G7aD1IGTjvjHerdFAEFle22o2UN7ZzLNbToHjkQ8MDU9Z+n6RBpdzeyWryLDdSecbfI2JIc7mUdt3BI6ZyepOdCgAooooAKKKKACiiigAorO1PXdL0YINQvoYHk/wBXETmST2VBlmPsAazv7Z1vUuNJ0NoIj0udUfyRj1EQy5+jbKAOirM1HxDpGkyLFfahBFO33IN26V/91Blj+Aqj/wAI3eX3za1rt5cg9bezJtIf/HD5hHsXIrT03RtM0eNk06wtrUNyxijClz6sepPuaAMs+IdTvDjSfDl5Kp6T37Czj/JgZP8AyHS/YPFF6c3WtWunxn/lnp1qHkH/AG0lyD/37FdDRQBzw8GaXLzqMl7qjHr9uunkQ/8AbPIj/Ja17LTbHTYfJsLK2tYv7kESoPyAq1RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADWljR0RnVWckIpOCxAzx68VFb2dtayTyQQpG9xJ5szKOXbAGT68AD8BWPpdncX+t3OuahC8Xl7rawgkHMUQPzSEdmkIB9lC+prfoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK53Rp7jS9Uk8PX0sky7TNp9zKxZpYc/NGxPV0JAyeSpU8ndXRUUARXJAtZSZmgAQkyrjKcdeQRx7g1x/gjXdR1DwtZatqt1Lc3eoh5LazSJFPlhyFPAH8O0lido3DpUXxE8V2Ft4B1pbS/gF5MHsI42fY4kZvLbg4Py7i2emOemKxvENtpvgSDwn4ksrxGgsCmn3DmUE3FpIoXI/vbCFcBeOpoA7e3TWNL0y8u7++F/cAM8cCxbUQZJC5RC7HGBkLzjhR0qPwtrl5rUV2byya2MMrqu8EEgSOuOm3gKBwxOQcheKYfFa6ixi8N2h1ZuhulfZaIfebBDfRAx9cU1PC02ojd4ivzeIST9gtlMFoMnJyoO6T33kg9dooAmn8WWbzPbaPDNrF2h2sllgxxn0eUkIv0zu9jTBp3iDVedT1JNOgPW10zlz7NOwz/3wqH3regghtYEgt4o4YUG1I41Cqo9AB0qSgDN0vQNL0Yu1hZRxSyf6yY5eWT/ekbLN+JNaVFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVSbVIF1qPSVWR7loGuGKgbY0BCgse245x67W9Ku1laRpUllcaheXUiS3l7cF3deixr8sSDPYL1/wBpmPegDVooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKztW1yx0ZIxcyM08xIgtoVLzTH0RByfc9B3IFYWoJf3un3Go+I7ptI0eFDI9jbS/vXUf89ZV55/uR/Tc2cUAedfEX4oXHgb4gvH4fhtLpbmGNtQR23K0qkqANp+V9u0HOeAvHHPpdt4fuNchhu/E87XO9Q40xFMdtFkZw65JlI77yRkcKKZ4U8N28EH9qXmmW9vdz7WgtfKXFjCM+XEvowyWYjqzN2Ara0nVRqf22N4TBc2dy9vNEWzjHKsDxwyFWH1x2oAvoiRxqkaqiKMKqjAA9BTqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMu81SSPX9O0q2jR3mWSe4Zs/u4VGMj3LsgGewb0rUqlb6ZFb6te6lvd57pY4zuxhEQHCr7ZZm+rGrtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFUNV1iy0a2Wa8kILtsiiRS8kz9lRRyx9h/KgC8SFBJIAHJJ7Vzb65e66zQeGlj+zglZNWmXMK+vlL/wAtW9+EHqcYpq6TqHiRhN4hX7Pp5OY9IjfIYdjcMPvn/YHyjvvrpkRY0VEUKijCqowAPQUAZmk6BZ6S8k6mS4vphie9uG3zS+xPZfRVAUdgKy5f+Ko8SfZx82j6RMGm9Li7HKr7rHwx/wBvaP4DVvxJqdzbx2+l6Yw/tbUCY7ckZEKD78zD0QH8WKjvWjpWmW2j6Zb6faKRDCu0FjlmPUsx7sSSSe5JoAuVnLpQj8QvqsUpTzrYQTxbeJCrZRs9iAzj33D+7WjUc6yvbyrA6xzFCEdlyFbHBI780ASUVmeH9TbWNCtbyVBHcMpS4jH/ACzmQlZF/B1YfhWnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4n1C40/QpmsmC307JbWpIziWRgitjuFJ3H2U1sVWurC3vZrSWdCzWk3nxfMQA+xkyR34c9e/PagCwAQACcn1PeloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiucudWu9bupdO0CQRxxMUutUKhkhI6pEDw8nr/CvfJ+WgCxquvtBef2VpVuL7V2UN5W7bHAp6PM38K+g5Zuw6kO0nQFsrltRv5zf6tIu17p1wEX+5Ev8Cew5PUknmrelaTZ6NZ/ZrOMgMxeSR2LPK56u7HlmPqavUAFV76+ttNsJ768lWK2gjMkjt0VQMmrFcvcf8VR4j+xj5tI0mVXuD2uLoYKx+6x8Mf9raP4SKAJ/DdjczSXGv6nE0eoX4ASF+trbjlIvrzub/aJHQCuhoooAKKKKAKljp0GnvdtBuAupzcOpOQHIAOPQEjP1J9at1i+IL24019KvElK2ovo4bpeMMkuY1+mJGjP0zW1QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWJoN1Pfahrdy8rNbLe/ZrZD0VY0VXI9/M8wfgK26gtLO3sYTDbRCOMyPKVHdnYux/FmJ/GgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApCQoJJAA5JNI7pFG0kjKiKCzMxwAB1JNcqBL42YM4eHw0D8qnKtqPue4h9ur9/l+8AOa5ufGDtFYTSW2gAlZbyMlZL31WI9Vj9ZByei8fNXSWlpb2NpFa2kMcFvEoSOKNdqqB2AFSoixoqIoVFGFVRgAegpaACiioL28t9Osp727lWK3gQySSN0VQMk0AZXiTVLi1hg07TSp1bUGMVtuGREB9+Zh/dQHPuSo71f0nS7fRtLg0+1DeVCuNznLOxOWZj3Ykkk9yTWV4bs7i5mn8Q6lE0V7fKFhgfra2w5SP2Y/eb3OOiiuioAKKKKACiiigCvfWNvqVnJaXcfmQSAblyR0ORyORyAasUVh+GLmaWzvra5leWaz1C4hLu2Tt3l48n2jdBQBuUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJ4wuZrXwhqj20jRXLwGGGRDhlkf5FIPqCwraUbVC5JwMcnJqK5tYLyHybmJZY96vtYZG5WDKfwIB/CpqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmu6xozuwVFGWZjgAepp1coSfGtyyD/kWoXwx/6CLg9B/wBMQf8Avsj+6PmABEfxrN5sysnhpGzFGeDqJH8bf9MfQfx9T8uAerAAAAGAO1IAAAAAAOgFLQAUUUUAFcvd/wDFUeIv7PX5tI0qVZLs/wANxcjDJF7qnDt77B2YVd8R6rcWVvBY6dtbVtQYw2gYZCcZaVh/dQcn1OB1YVd0jSrfRdLgsLbcUiBy7nLSMTlnY92Ykkn1NAF6iiigAooooAKKKKACoYbSC3luJYYlR7mQSzMP42CqmT/wFVH4VNWG880XjuCAyv5NxpkjiPcdu6OVATjpnEo5oA3KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDC16aVNZ8NQxSuizai/mhWI3IttO2D6jcFOPat2opbaCaaCaWJXkgYtExHKEgqSPwJH41LQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXPa3fXV7fDw/pMrRXUiB7u7X/lzhPGR/00bBCjtgsemCAV7+STxXqE2j2zsmj2zbNRuEODO3e3Q+n98j/dHJO3pooo4IkiiRY40UKiIMBQOAAOwqHT7C10uwhsbKERW8K7UQdh9e57knkmrNABRRRQAVDd3cFjZzXd1KsVvAhkkkc4CqBkk/hU1cvff8VP4g/stfm0nTZFkvj2nnGGSH3C8O3vsH94UATeHLSe8uJ/EeoxNHd3qhLeBxzbWwOVQjszfeb3IH8IroqKKACiiigAooooAKKKKAComtYHu4rpolNxEjRpIRyqsVLAfUqv5CpawtZmli8R+HESR1SW4mR1DEBh5DkZHfkUAbtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBhatNLH4n8PIsjrHK86uoYgNiIkZHfpW7UUltBNNDNJEjSQMWiYjlCQVJH4EipaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqtqF/baXp899eSiK3gQu7HsPYdz2A7mgCjr2sPpkEMFnEtxqd4xis4CeGbGSzeiKOWPpwOSAZdE0hNHsTF5rT3MzmW6uXGGnlPVj6dAAOgAAHAqnoFhcyzza7qkRj1C7ULHA3P2SDqsX+8fvMe7cdFFb1ABRRRQAUUVFc3MNnazXVzKsUEKGSSRzgKoGST+FAGV4j1WewtYbTTwr6rfP5NmjDIVsZaRh/cQZY+vA6kVc0fSoNF0uGxgLOEyXlc5eVycs7HuzMST9ayvDltPf3U3iW/iaO4u08u0gcYNtbZyoI7O5+dv+Ar/DXR0AFFFFABRRRQAUUUUAFFFFABUUttBNNBNLEjyQMWiYjlCQVJH4Ej8alrC1OaUeLdBt0kdUZbmR0DEBgqqBkd8FxQBu0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGF4mmktk0m4jkZFTU7dH2nG5ZG8vB9RlxW7UVxbQXUYjuIklQOkgVxkBlYMp+oYAj3FS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXMqP8AhKNf3n5tH0qbCelzdKeT7rGeB6vn+4KseIr65ZrfRNNkMeoX+czL1toBjfL9RkKv+0w7A1rWNjbabYQWVpEIreBBHGg7Af560AWKKKKACiiigArl9Q/4qbXv7IX5tL091l1Bu003DRwe4HDt/wAAHc1oeItWm060it7FVk1S9fyLONum/GS7f7CDLH6Y6kVZ0bSYdF0uKyhZpCuWkmf780jHLu3uzEk/WgC/RRRQAUUUUAFFFFABRRRQAUUUUAFRNbQPdR3LRIZ4lZEkI5VWxuAPvtX8hUtYNhLJceNdaPmOYbe1tYFTd8ofMrscepDp+VAG9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQXtt9ssLi13snnRNHuU4K5BGR+dZ/hW9k1HwnpV1Nnz3tY/Oz1EgUBx/30DWvUcMENtF5cESRR5LbUUAZJJJwPUkn8aAJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKrX99baZp9xfXcgjt7eMySOewAz+P0qzXNX3/FQ+JY9MHzadpbJcXnpJP96KI/7vEh9/L9TQBP4bsLgLcazqUZTUtR2u8bdbeIZ8uH/gIJJ9WZj6VvUUUAFFFFABUdxcQ2ttLcXEixQxIXkkc4CqBkkn0xUlcxqf/FS67/YifNpliyy6k3aWTho4Pp0d/baOjGgCTw7bzaldy+Jr6Nkluk8uxhcYNvbZyMjs7nDN6fKv8NdHRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUUdvDDLNLFEiSTsHlZVwXYAKCfU4AH0AqHVL+PStJvNRm/wBVawPO/wBFUk/yqt4btJ7Dw1pttdMz3SW6eezHJMhGXP8A30TQBqUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXPuxsfHsZJIh1SxKcngSwNkD6lZW/7910FMk8pR5suwCPLb2x8vHJz24zQA+ikBDAEEEHkEUtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZuu6r/AGNpMt0sXnXBIit4AcGWZjtRPxYjJ7DJ7UmgaT/Y2kx2zy+dcsWluZ8YMszHLt9CTwOwwO1Z0X/E98XyTHmw0UmOP0kumX52/wCAI20e8jjtXSUAFFFFABRRTJporaCSeaRY4o1Lu7HAVQMkk+lAGX4h1aXTLOOKyRZdTvH8iyhboXIyWb/YUAs3sPUip9F0mLRdLjs43aVwS807/fmkY5d29yST+nQVl+HoZdVvZPE15GyG4TytPhcYMFtnOSOzSEBj6AIOxrpKACiiigAooooAKKKKACiiigAooooAKKKKAI5oop4mhmRJI5AVZHAIYdwQetSVz0f/ABMfHc0nWHSbQRKe3nTEM34qiR/9/DXQ0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU2SNJonikUOjgqykZBB6inUUAYPhLz7fRm0u5D+bpkzWYdwf3ka4MTZ75jZMn1zW9UF1e21kITcyiMTSrDGW6F26D8en1qegAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKy/EOqPpOjSzwIJLtysNrEekkznagPtkgk9gCe1alc4P+Jz40J+9Z6IuPZruRf5pE3/kb2oA09E0tNF0e2sEkMrRqTJK3WWRjudz7sxJP1rQoooAKKKKACuY1X/ipNaGgpzptoVl1Nh0kb70dv+PDMP7u0fx1o+INWk0uxRLSNZtSu3EFlAx4eQgnJ/2VALMfRT3xUuiaTHoumJaLI00pJknncfNNKxy7t7k/kMAcCgDRooooAKKKKACiiigAooooAKKKKACiiigAqOeeG1t5bi4lSKCJC8kjsFVFAySSegAqSsHxLbT6obDSEhdrW6nD3sm35VhjwxQn1dtq47qW9KAN0YIyMc85HeloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAoa1pcetaPc6fI7R+cnySL96Nwco491YBh7in6VLezaVavqUAgvjGBPGrAqHHBwR2J5HsRVys/U9Wj0qSy8+NvIubgW5mH3YmbOzd7M2Fz6sPWgDQooooAKKKKACiiigAooooAKKKKACiimSzRQRmSaRI0HVnYAD8TQA+isKbxp4Yhcxtr+mtIOscdyrv/AN8qSaZ/wmuiH/VvfzD1g0y5kH/jsZoA6Ciuf/4THTf+fPXMev8AYd5/8ao/4TTRR/rG1CEes2l3MY/8ejFAHQUVhReNfDEriMa/pySHpHLcLG3/AHyxBrZhnhuIxJBKksZ6MjBgfxFAFHX9csvDmiXWrX7MtvbrkhRlnJOFVR3JJAH1qjp1tr+oWy3mp6g+myyjctlZpGwhU9Fd3Vi7juRtHoO5zPiVYzXWj6TcrG8trp+sWt5eRopYmBGO84HJAyGI9FNdE+t6ebdJLW5iu3lXdBHbyB2l9NuD09+g6kgUAY+n63qVj4c1jVdfCE2tzOsKQx7d8cZ2LgHJy7KSOv3wB2rT8N6ZLpWiQw3TB72UtcXbjo0znc+PbJwPYAVQ1My6nrmjaLNsbygNRvvLzs/dkCNeexl+Yf8AXI10tABRRRQAUyWWOCJ5ZXVI0Us7scBQOSSfSn1zGr/8VHrI8PR86fb7ZtUYdHB5S3/4F95v9kAfx0AP8PxSaxfP4nu0ZVlQxabE4wYrcnO8js0hAY+ihB1BrpKMYGBRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjMqIXdgqqMkk4AFVtNv4dV023v7bf5FwgkjLrtJU9Dj3HP41T8Q6bc6xpy6dFIsdvcSql4xJDGDkuq47tgL2wGJ6gVqqqooVVCqBgADAAoAWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqrqOn2+q6dcWF2m+CdCjgHBwe4PYjqD2NWqKAK1hDcW2n28F1c/ariOMLJPs2eYQMbiMnBNWay9efU4LBbvSx5s1tIJZLUAZuYwCGjBPRsHIPHzKAeCauWF9banYQX1pKJbedA8bjuD/I+3agCxRRRQAUUUUAFFY2o+JbSyuzYW0U2o6mAD9jtAGZQehdiQsY92Iz2zVUaTrWs4bWdQNjbn/lx0yQqSPR5+HP/AAn40AXdS8S6VpdwLWe68y8IytpboZp2HtGgLY98Y96p/2j4l1H/jx0eHToj0m1OUM/1EUROfxdT7Vq6bpGnaPbmDTrKG1jJywiQAsfVj1Y+55q7QBz3/CO6hdj/iaeI7+XPWKyC2kf4FcyD/vunxeC/DccglfR7a5mHIlvAbiQf8DkLH9a3qKAI4YIbeMRwRJEg6KihR+QqSiigAooooAZLDFPGY5o0kQ9VdQQfwNYs3gvw3NIZRo1pBMes1qnkSf99x4b9a3aKAOe/wCEcvbQZ0vxFqUGOkV2wu4/xMg8z8nFZera3rfg3R7/AFW/0Swv4IIzJJPprmF2I7tG4OB6kOxAzxxXa1zPj68kt/CF1a2+w3mpldOtVfoZJjsz+ALN9FNAHGfCj4j2XjDVtblvxBZatcSxeTC0w+eFVIVEzgnad7H3kr1mudtvAnhe20JNGGh2L2SgZWSBSWbGN5OM7v8Aa61mT+E9d0RTJ4R1+VI16abqzNc2/AwArn94g/Ej6UAdrRXCWXxAvLW9XTvEnh67sLw52m3/AH6yAd1UfM3rhN5HfFdVYa9pOqQSzWWo28yQgmXDgGLHXeDyv4gUAR+INXfSbBfs0Qn1C5cQWcBOPMlOcZ9FABZj2VTT9D0hNF0xbbzTPOzGW4uGGGmlblnP1PQdgABwKzNAjfW9QfxNcowidDFpkTjHlwE5MhHZpCAfZQo65rpaACiiigAooooAKKKKACiiigAooooAKKKKACqupahbaTptxf3b7IIELuQMk+wHck8AdyQKtVSv9Lt9SktGud7Lazi4SPPys4B2lh3wTke4B7CgB2lzXlxplvNqFulvdSJvkhVt3l55Ck9yBgH3zVuiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACquLHSLSST9xaWwdpJGOEQMzZLHtksc59TXIeFfP1bxb4nu2vr59Osb5bS0gN1JsWREBlJGeRubGDkDHStDxfNrIEFtp9nHc2s5WOdJEBVsnBU5b5gR1UgA93XuAdTRWD4Ys9U0y1On3rGa0jjRrWdz+8UEcxOMnlegbJyCASSCTb1nW4NIjiXy5Lm8uCUtrOHBkmYdcZ4AHUscADqaALV/qFppdlJeX1xHb28Yy0khwB6D3J6AdTWEDrPibkG40XSD7bby4H/tFT/33/uGp9P0Ke4vY9W1+SO5v0O6CBMmCz/3AfvPjrIeTzgKDit+gCnpul2Oj2gtdPtY7eEEsVQcsx6sx6sT3JyTVyiigAooooAKKKKACiiigAooooAKKKKACuRvGOsfEywsgSbbRLVr6bBBXz5cxxAj1CCY/wDAhXWO6RRtJIwVFBZmJwAB3rjfhwX1HTtT8TTKRJrd9JPHuXDLAn7uJT9FTP40AdpRRRQBV1DTbLVbNrS/tormBuSki5GR0I9COxHIrzLxHoBvNZGk/Zpdc0uzCS3z7A19bxHOIEmyGcMOSv39g6ksteh6/qzaRp4aCIT31w4gs7cnHmyt0B9FABZj2VSe1O0LSF0bTRA0pnuZGM11cMMGaZuWc+noB2AA6CgDE02PUmsUu/DniCLU7I8C31JclSOCnmqA6EdCHVyO9W/+EqNj8uvaXd6ZjrOF8+3+vmJnaPdwlSaloEovX1bRJks9UIHmhh+5uwOiyqO/YOPmHuPlNnRtci1XzbeSF7TUbfAubOUjfHnoQejIcHDDg+xBAAL1peWt/bJc2dzDcQOMrLC4dW+hHBqesS78J6TcXL3cEUlheuctdWEhgdj6tt4f6MCKg8rxTpf+rntNbtx/DOPs1xj/AHlBjc+21PrQB0VFYEXi/TUlWDVFuNHuGO0R6inlqx9FkBMbH2Via3gQwBBBB5BHegBaKKKACiiigAooooAKKKoXur29lfWdiVklurtiI4ogCwUfekbkYRcjJ9wBkkCgChr1xe3dxFoWmNLDPcpvuLxV4toM4JU9PMbkKO3Lfw4O1bwJbW0UEQIjiQIoLEnAGByeTUlFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVdRvk02xkunhuJggJEdvA8rscdAqgmrVFAHnHg3VX8NeAIGvNJ1mfWLhpbu4totMn3vNI5YqSU2jqBknHFegWa3CWUC3bh7kIPNZRgFsc49s1PWbrWsRaNYiZonnuJXEVtbR/fnlPRB+RJPQAEngUAY/j24uJfDlzoumTyJrOpxNDaLCfm7bnJ/hQA8t2yMZJAPmvwz8M+KvAmpT2uptp8N1qAC2ouwZFk2liyLMjfIxzu2kHcOR90163oWjS2Jm1DUZFuNYuwDcTL91AOkUeeiLnj1OSeTWnc2lvexCK6gjmjDK4WRQwDKcg89wQCKAMb+19etv+Pzw00w7tp15HKPriTyz+QNH/CY6RFxffa9OPc31pJCg/7aFdh/Bq1L3U7PTntlvJhCLiQRRsynaXPRS3QE9BkjJ4HNW6AKtjqdhqcXm2F9bXcf9+CVZB+YNWqyr7wzoepS+beaRZTTdpmhXzB9Gxkfgaq/8IrHB/yDtX1ixPYJeGZR9FmDgfQCgDforA+x+KbX/Uatp96g/gu7Qxuf+Bo2P/HKP7X162/4/fDTyju2nXkco+uJPLP5A0Ab9FYH/CZaRFxfG7049zfWkkKD/gZXYfwatWx1Ow1OLzbC+truP+/BKsg/MGgC1RRRQAUUUUAFFFFAHG/E/VH0/wAGXFrbjddagfssaA4LAglx7ZQMAfVhXSaNpqaPoljpsZylrAkIb+9tUDP44zXF65/xPviFp9p962srhIcdt6qLmQ/hstV/4Gw9a9CoAKR3WNGd2CqoyWJwAPWlrmdbJ8QaqPDcJP2RFWbVXH/PM/dg+r45/wBgH+8KAF0JG13Um8TXCkQFDFpcbD7sJ+9Lj+9JgEeiBfU10tIAFUKoAAGAB2paACsnWtDTVPKuYJjaanbZNteIuSmeqsP4kPdT168EAjWooAx9E1p795rG/hW11a1A+0W4OVYHpJGf4o2wcHscg4INbFZGuaM2pJFdWcq22q2hLWlyRkKT1Rx/EjYwR9CMEAh+h6yur2snmQm2vrd/Ku7VjloZAM4z3Uggq3cEGgDRlijniaKWNZI3GGRxkEehFYJ8IWlqS+iXV1oz9dlo4MB+sLAoP+AgH3roaKAOd+2+JtL4vNOt9WgH/LbT28qXHvFIcH8Hz6Cren+J9I1G5FpHdeTe45tLpGgm/wC+HAJHuMj3rXqpqGmWGrWxt9Rsre7hznZPGHAPqM9D70AW6K53/hG7zT+dC1q5tVHS1vM3cH0+Y+Yv0VwB6Uf27q2m8azocrRjrdaYTcp9THgSD6BW+tAHRUVQ0zWtM1mNn06+gudhw6xv8yH0Zeqn2IFLq15d2dlusbFry6kYRxRhtqgn+J2/hUY5PJ7AEkCgC9WbpujRafdXd68r3N7dvmS4kxkICdsaj+FFB4A7kk5JJpNG0ubT4pZby8e8v7lg88xyFz2VFzhUHYde5JJJrToAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIrm5hs7Wa6uZVighQySSOcBVAySfbFYOhW02qXp8SahE8byIUsLaQYNtAf4iO0j4BPoNq9jluoj/hItfXSBzpunsk1+e0svDRw/QcOw/wBwdGNdLQAUUUUAQ3dpb31pLa3cMc9vKpSSORcqwPUEVV0jTJNJtntTezXVurf6OJ/meJMfcL9XA7E846k9a0KKACiueudDvNOvJdQ8PSpG8zmS40+diLe4YnJYEZMTn+8AQe6k8joBkgZGD3FAC0UUUAFZV94Z0LUpfNvNIspZu0zQr5g+jAZH4GtWigDA/wCEVjg/5B2saxYnsEvDOo+izBwB7AUfY/FNr/qdW0++QfwXdo0bn/gaNj/xyt+igDA/tjXrX/j98MvKO7adeRzD64k8s/kDR/wmWkRcXxu9OPc31pJCg/4Gy7D+DVv0UAVbLU7DU4vNsL62u4/78EqyD8waXUb6DS9Nur+5bbBbRNNIfRVBJ/lVO+8MaFqUvnXekWUs3aYwqJB9HAyPwNct4g8MwyXul6Hp+p6rbi9lMs6G8adVgiwxIWXePvmJcdPm6dqAJPCljOviGM3i4u7XTjcXXtcXkpkdf+AiFVHsRXdVwXhy28S/ada1C11GwvFm1B4f9MtmR3EIEX30bAG5G42HnJ74q9rnivXPDmhX2pX/AIYMy2sLSFrG9WVOB1beEYL6kK2Bzg0Abmvat/ZGneZFF595M4gtLfODNM33V9h1JPZQT2o0HSP7H07ypJfPu5XM13cEYM0zfeb2HQAdlAHavLPh78TbTxbq15rHiQRae9iiw2nDfZ4w+S7FzwHICjJI4HHVq9cstSsNTi82wvba7j/vwSrIPzBoAtUUUUAFFFFABXP69ZXNpdJ4g0uEyXtumy4t163cGclP99eWQ+uR0Y10FFAEFle22o2MF7aSrLbzoJI5F6Mp6VPXM2//ABTfiT7GeNK1aRpLf0guuWeP2Egy4/2g/wDeArpqACiiigAoqrqOp2Wk2b3d/cx28C4Bdz1J6ADqSewHJpml30mo2huXsri0VmPlpcAK7L2Yr1XPPB59QDxQBzWuJYeI9U+xabptveX9u4SfUiWRbId1EqEOZMfwKwx/EV4zof2V4g0znTNYW9hHS21Vcn6LMgDD6srmt+KGKBNkMaRpknaigDJOSePc5p9AHO/8JV9h+XXtMu9Lx1n2+fb/AF8xM7R7uErctby2v7ZLmzuIbiBxlZYXDq30I4NTVh3XhPSZ7l7u3ik0+9c5a5sJDA7H1bbw/wDwMEUAblFc75finS/9XNaa3bj+GYfZrjH+8oMbn/gKfWnxeL9NWVYNTWfSLljtEeop5asfRZMmNj7KxoA36KQEMAQQQeQRS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWbr2q/2PpE12kfnT8R28OeZZWIVE/FiOewye1aVc43/ABOfGip1s9FTcfRrqRePxSM5/wC2o9KANHQdK/sfSY7Z5POuWJluZ8YM0zHLv+JPA7DA7VpUUUAFFFFABRRRQAVXvrNL+zltZJJo1kGN8ErRuvOQQynINWKKAMXTY9dsbxbS9ki1GyIOy94jmTHQSIBtb/eXH+73raorO1XSF1RYmF5d2dxCSYp7WXayk9cqcq44HDAigDRorO0qPWIRLFqs9pcquPJuIUMbOOc705AI45BwcnhauC5t2uWtlniNwih2iDjcFPQkdcUAS0UUUAFFFFABXN6TIl7r+t65K2Le3P8AZ9ux6BYsmVh9ZCVP/XIVpa/qZ0fQby/VPMlij/cx/wDPSQ/KifixUfjWJq1k3h/4XXtjFJvuI9PeHze8kzqQXPuXbP40AXvBMbp4M0uSRdslzD9qkB6h5SZG/VzVbxC8uuXp8N2YDxeWJtSYuVHlHO2HcAcGQgg8HCBvUVo6rfx+HdEjEEJmm+S2s7YHBmkIwiew4yT2AJ7UaPpyaBpMj3lyj3Eha5vrtvlEkhHzNz0UAAAdlUDtQBheFNesf7N1xLXQrTRl0q5eCW2jZV3SgZzhU6NlcEAk56VetNEsvEFut7rnhWys7pgGUMUkmTPq6gbT9Ca5idTpfxU07W7m2MOmeIB9lCPkFbmNcwyOvQMy7lA6jjODwPTaAOf/AOEUSD/kHazrNj6BbszqP+AzhwB7ACj7J4qtf9TqunXyD+C6tGic/wDA0bH/AI5XQUUAc/8A2xr1r/x++GZJR3fTryOYD3xJ5Z/IGj/hM9Hi4vmutOPc39pJAg/4Gy7D+DV0FFAFWy1Kw1KLzbC9trqP+/BKrj8watVk3vhfQdRl8670eylm7TGFRIPo4+YfnVX/AIRRIP8AkHazrNj6BbszqP8AgM4cAewxQBo61pces6TPYu7RM4DRTL96KRTuR191YAj6VD4e1STVtJWS5RY76B2t7yJeiTIcMB7H7w9VYHvVCePxJpdvJcNrWlXNtCpd2vrYwFVAyS0iNtAx/sV45qnxT8SaX8S0Gm6RD9m1FoFkgjWSRb0j5fMiZ1Q5IIXOMfIOoFAH0K7rGjO7BUUZZmOAB6msvTvENprF40WnRz3NsiktfIo+zls/dVifnPuoIGOSDWZfeI/Dd9bfZtdgltodwZo9UspIosg5GWddh59yK3rDUNP1CAPp15a3MIAAa3lV1A/4CcUAEumWU+oQX81tHJdW6lYZHGTGD12+hPqOat0UUAFFFFABRRRQAUyWGOeJopo0kjcYZHUEMPQg0+igDnj4RtbQl9Du7rRn67LRgYD9YWBQf8BAPvSfbfEul8XunQatAP8AlvpzeVLj3hkOPycn0FdFRQBkaf4n0jUrn7LFdeVe4ybS5RoZx/2zcBiPcAj3rXqpqGl2GrW32fUbK3u4c52TRhwD6jPQ+9ZH/COXun86FrdzbKOlre5u4Pp8xEi/QOAPSgDoqK53+3dV07jWdDlMY63WmE3Mf1KYEg+gVh71qaZrWmazGz6dfQXIQ4dY3BZD6MvVT7ECgC9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAV7+9g03Trm+uW2QW0TTSN6KoJP6Cs3wrYz2egxPeLtvrtmu7seksh3Ff+A5Cj2UVB4s/wBMTTNGHI1G9RJQP+eMeZXz7EIE/wCB10NABRRRQAUUUUAFFFFABRRRQAUUUUAFZ2p6Dpes7Df2Ucskf+rmGVlj/wBx1wy/gRWjRQBT02wOm2v2f7ZdXShiVa6k3uo/u7sZI9zk89ao3uvTadeSJc6LqTWgxtu7WMTqRjuiEyD/AL5P1raooAr2N9b6jaJdWrl4XzgshU8HByGAI5HcVYorDufC1lNdS3UF3qVncSsWdra+kVST38skp/47QBDrH/Ey8UaRpI5itydSuR2+T5YlP1clh/1ypfGJD6VZ2pOPtOpWiHP90TI7f+Oo1V/Bdu8sWoavNdTXbXk5ignn272t4iUTO0AYJ3uMAcPXk3xbn8c6l48tPD+nOLq1KiSGCzjIUFvMH74knB2bgeQMcgDJoA9c0UHxBqp8RyjNnGGh0pD0KHh5/q+ML/sDP8ZrS1fw/p+uGH7ety4hdXRYruWJdyncpIRgCQQCCatWP2lbG3W5treCYLteK3kLxx4HG0lVJHTsKzJ9X1yK4dE8MTTRhyqyJeRDcAThsEjGf60AWNc8N6X4jit49UhllS3lE0QS5ki2uOjfIwyR2J6dq0oolhhSJS5VAFBdyx/Ekkn6morW4ee1hkmt5LeV+Gib5ih5yCRx269Dx61kTarr/nultoVo8fmMkckupBN+CewRiOhOKAN+iobSSeW1je5jijnI/eJFKZFVu4DELn8hXMa9d3+kRPeav4w0/SbBpNsZSyCPz0XdI7hmx6L68UAdbVLUdX03SIvN1LULWzj7NcTLGD+Zp2nTRSafamK+N+rxBkusofOHHzZQBecjoAKqWnh3SbSd7q10u0triUFnmWFfO3HqS/OaANGO4imto7iJw8Uih0ZeQwPQ/rWD5XivUiRLcWWiw7sYtl+1TMPUO4CL9Cjc/r0QVQxYKNxABOOT/nNLQBx3i2+1K113wzpmmX7x3Go3jrJvijcLCiM0jjK8NjAB6c9DWvr2kTah4cltoZjJfxKJrWeUKCJ0IdCcAD7yjOAOM1yK+INF1D4uz3cur2C2ejaWIkd7lAvnTPuYgk4OEQA+ma7DQ9ftvEL3lxp00dxp0MggjuE5Esg5cqejKMqAR3DUAW9I1KLWNHs9RhBWO5hWUK3VcjOD7jofpVa98L6DqMvnXej2Uk/abyVEg+jj5h+dVPDQFle61o3RbW7NxCP+mU/7z8hIZVHstdDQBz//AAiiQf8AIO1rWbH0C3ZnUf8AAZw4A9hij7J4rtf9Tqum3yD+C6tGic/8DRiP/HK6CigDn/7Z161/4/fDEkoHV9OvI5gPfEnlt+QNH/CaaNFxfPdaae5v7SSBR/wNl2H8DXQUUAVbLUrHUovNsL22uo/78EquPzBq1WRe+FtB1GXzrrR7KSftN5KiQfRx8w/Oq3/CKJB/yDta1mx9At2Z1H/AZw4A9higDoKK5/7J4rtf9Tqum36D+C6tGic/V0Yj/wAco/tnXbX/AI/fDEsgHV9Ou45gPfEnlt+QNAHQUVz/APwmmjRcXz3Wmnub+0kgUf8AA2UIfwNa9lqNjqUXm2N7b3Uf9+CVXH5g0AWaKKKACszU/Duk6vIs15ZI1wgwlzGTHMn+7IpDL+BrTooA53+y/EGmc6ZrCX0I6W2qrk/RZkG4fVlc0f8ACVix+XXtMu9Lx1nK+db/AF81M7R7uEroqKAIbW7tr63S4tLiK4gcZWSJw6t9CODU1Yd14S0me4e7to5NOvHOWubCQwOx9WC/K/8AwMGodninS/uS2mt247SgW1xj/eUGNz+CD3oA6KisCHxfpgmW31IT6RcscCLUU8oMfRZMmNz7KxrfBBAIOQehFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc+o+2fEB2PKabpwUem+d8n8QsC/g/vXQVz3hr9/qHiG+PPnak0SH0WKNI8f99K5/GuhoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsXxXez2mgTJZvtvrtltLU/3ZZDtDf8ByWPsprarnbg/2n44toetvo9ubl/Tz5QUT8VQS5/31oAs3tzbeFfDkENrAZPJSO0srVThpXxtRB+XJ7AEngVh2Gktp3i3RYbiUT30tre315OBjzJiYE49FAfao7KoFX9HH/CRaufEMnNhAGi0tT0YHh5/+BfdX/ZGf4zUzfP8AEOL/AKY6U/8A4/Kv/wAboAwfiQLa61DwtpcuxHutSEkkh4It4lLyru6gNhAfXNadkuleNdJCQRqui29w0awKpicyRMQQw4MYBH3eCQRnAJBqnT9S1D4o22q3mizrpljYPBayySQsFmd8tJgOWA2qoHGeT0o0Ww1XRPH+umHSp/7A1Mpdef5sW2O5xiQhd+7awCknGcjpjmgDsYIIraBIII1jiQbVRRgAe1SUzczqdgxlcq7DIyfbOf8A9dKYwxO75hkEKQMAjkfrQA07CwxHuKP6D5SR159j29a8/wDH3gjTvibptvZ2mu28N1YTPJmDEqgOeQyhuvHX1B9a9Erz3RwIfimL88DWtLmcMOj+TOojP/fp1NAHRaBpWn+B/CenaVJqKrb2a7PPuHCCRiST1PHJJAzxj2rbiZZYo5YpxJG3zq6kEOp5GCO3IwfauF10DX/HvhW0YB7eOSbUgnpHEu1HP+9JIpHso6HNd/QA0CTjLKfmOfl7c4HXr0oBk4yq/eOfm6DnHbr0p1FADQzcZjPLEdRwOef8+tAfplWBLFRx6Z546DinUUAc5cuLTx5p1wMhNQs5rR8gjMkTCSP/AMdM9dCHRhlWU5JXg9x1H6GsDxX+5TR78cfZNUtyT6CUmA/pMa6AgEgkA45HtQAtFNESDGEUYYsMDoTnJ/U/nQI1GOW4Yt949Tn9Oen+FADqKaEIx+8bhiT0568dOnP6UAOMfOD8xJyOo5wB+n5UAOopo8wYztPzHJ6YHOPx6f54oDPxlByxBwc4HOD/AC/OgB1FNDnjKMMsR2468/Tj9aBIpxw3LFRlT1Gf046/40AOrIvfC2gajL511o9lJP2m8lRIPo4+YfnWqJYzjDr8zFRz1IzkfofypwIPQ5oA5/8A4RRYP+Qdres2PoBdm4Uf8BnDgD2GKPsniu0/1OqabfoP4Lq0aFz9XRiP/HK6CigDn/7a121/4/vDEsgHV9Ou45gPwk8tvyBo/wCE00WLi+kudNPc6haSQKP+BsoQ/ga6CigCtZajY6lF5tje291H/fglVx+YNWayL3wroGoS+ddaPZPP2mEKrIPo4ww/Oqv/AAiiwf8AIO1vWbH0AuzcKPwnDgD2GKAOhornvsniy0/1OqaZfoP4bq0aFz9XRiP/AByj+2tdtf8Aj+8LyyAdX067jmUfhJ5bfkDQBvTQxXELQzRpJE4wyOoIYehBrBPhG1tCX0O8utGfr5dqwMB/7YuCg/4CFPvR/wAJrosXF9Jc6ae51C1kt1H/AANlCH8DWxZajY6lF5tjeW91H/fglVx+YNAGN9u8S6Zxe6bBqsA/5b6c3ly/UwyHH5OT6CreneJtI1O4+yw3YivcZNpco0M4/wC2bgMR7gYrXqpqOl6fq1v9n1Gyt7uHOQk0YcA+oz0PvQBbornf+EcvdP50PW7m3UdLW9zdwfT5iJF/B8D0o/t7VdO41rQ5vLHW60wm5j+pTAkH0CsB60AdFRVHTNZ0zWYmk06+guQhw4jcFkPow6qfY4NXqACiiigAooooAKKKKACiiigAoooJwCT0FAHP+Cvm8LxT97m4ubkn18yeR/8A2augrn/Ao/4oHw8x6vp0Eh+rRhj+proKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBsjpFG0kjBUUFmYnAAHevPdOM2vW5sIy6Sa251LU5Bw0No3ywxezvGiL7ASHg4rR+I2txWWgf2TEfOv9UlS0jtY3AkkRz8+B1GVDKG6AsM1teH9KOj6e6zMs+oznz7uSMYDyEYwueiqFCqOwUUAa8caQxJFEipGihVVRgKB0AFYELD/hYl8CeV0q2A/wCBSzn/ANkP5VvlWOcvgZBG0c49DWBYqo+IWtkKATpljnA6/vLrmgDfBZsHG0ZIIbqfyNCxgbSfmdV27yBntn88CnUE4GT0oAKKit7q3vIvNtp4p48ld8ThhkdRkVLQBS1Y6l/Zsw0hLZr1lKxm5lZEUkHDEqrE4OOMc+orBuPCs97d+G7h3itl0uGWCeGNzIHjdFXYrEDj5FySBx+ddXRQBy2n6PrA8eXmu38NgtvJZR2dusNy7PEqsztkGMA7mK9+NveupoooAKKKKACiiigDn/HGV8E6tOOttAbkfWIiT/2WugrI8VR+d4P1uI9HsJ1/ONqvadJ52mWkp/jhRvzUUAWaKKKACiiigAooooAKKKKACm+Wny/IvyksOOhOcn9T+dOooAaI1GMAjDFsA45Oc59epoCYxhmADE9c5znjntz+lOooAaFYY+cn5iTkDkc8fy/KgCTjLKfmOfl7c479elOooAaDJxlV+8c/N0HOD069OKAzcZjbliOo4HPP+fWnUUANEg4yrDLFR8vpn8hxQJEOOcbmKgHjJGf8DTqKAGh1YZVgRkjg9x1H6Gsm98K6BqEvnXWj2Tz9phCFkH0cYYfnWuVBIJAJByPakEaDGEUYYsMDuc5P6n86AMD/AIRRYP8AkG63rVj6AXf2hR+E4cAewxR9l8WWn+p1TTL9B0W6tWhc/V0Yj/xyt8RgY5bhi33j3z+nPT/CgIRj943DEnpz146dOf0oAwP7a121/wCP7wvNIB1fTruOZR+Enlt+QNH/AAmuiRcX0tzpp7/2hayW6j/gbqFP4E1vgOMfOD8xJ+XqOcD+X5Ug8zjIU/Mcnpgc4+p6UAYs2neG/FAW8UWl3Iowl5aTYlQf7MsZDD8DUX9l+IdM50zV0v4R0ttUX5voJkGR9WVzVi88LaFqEomu9EsnnLEeekSrIo553gBh26HvVYeFxBj+ztZ1ywJYgKLr7QoxntMJABx2x17UAL/wla2Py69pt3pWOs7L51v9fNTIUe7hK3LW6t723S4tLiKeBxlZInDKw9iODWEIfFdrjydT02/QsVCXVm8DkjPV0Yjt12fzrCubGRLg3T+Frmyu5GIa88PahHlmGc7lby/M6Hhkbp04oA9AorzweM77R/8Aj7ukuoF6jVLSTTph/wBtCvkufpsHvW5pvj/w/qOxZLsWUrnCrdFVVj6LICY3P+6xoA6eioZbu2gkhjluIo3mO2JXcAufRR3/AAqagAooooAKbIpaJ1HUqRTqKAMHwQQ3gHw4w6HS7Y/+Qlrern/A3HgfR4v+eNssH02fJ/7LXQUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUk1axk1mTSUuFa+igW4eEdVRiQCe3JB4pdV1GLSdNmvJuVjHyqDguxOFUfUkCuA0Z7eL4xRvHcpcS3ugubiVM4eZZwe/YB8D0AA7UAYurfBvV9S+LD+JxraRafJOs5Kk/aEwANgBUrjjAJ7dQa9F/4Rm5/6GjXP++4f/jVdBRQBz/8AwjNz/wBDRrn/AH8h/wDjVYdn4euD441iH/hI9ZBWws3MgeLc2XuBg/u8YG3jjua7yuftPl+Ier/7WlWR/KW6/wARQAf8Izc/9DRrn/fyH/41Wdr3gi81fQL/AE5PFOsB7mB4h5rxFCSMYYLGCV9cHpXY1xfxRAm8HiwRV+2aheQWVq5HMckjgFlPYhN5zQBzXw1+E+r+EbK+S/8AEU8ElzIpEemuNmFyMkyIeTnsB+Pbuf8AhGbn/oaNc/7+Q/8Axqsvxjo+m6J4K1TUtNiTTbzT7V57e5thsfei5UMR94EgAhsg5rqNKu5L/R7G8lj8uSe3jldP7pZQSP1oAy/+EZuf+ho1z/v5D/8AGqP+EZuf+ho1z/v5D/8AGq6CigDn/wDhGbn/AKGjXP8Av5D/APGqP+EZuf8AoaNc/wC/kP8A8aroKKAOf/4Rm5/6GjXP+/kP/wAao/4Rm5/6GjXP+/kP/wAaroKKAOf/AOEZuf8AoaNc/wC/kP8A8ao/4Rm5/wCho1z/AL+Q/wDxqugooA47X/DlxF4c1SRvEutOFtJWKs8ODhDwcR9Km0rw1ctpFkf+Em1tMwIdqvDgfKOB+7q/40l8nwNr8g6jTrjaPU+W2P1rYgi8i3iiHREC/kMUAYf/AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBz//AAjNz/0NGuf9/If/AI1R/wAIzc/9DRrn/fyH/wCNV0FFAHP/APCM3P8A0NGuf9/If/jVH/CM3P8A0NGuf9/If/jVdBRQBzv/AAis3H/FS618pLD5oOCc5P8Aqvc/nWPe/CrRdRkMl3e3sspJPmFLcPz1+YRZ7+td1RQB4N4l/Z8ubnVrFtA1po7CNQrrfSs0kPJOY9q4xz045788e4XFzFptg09w8hihUb3EbO2PUhQT9eKs1y/xFvpbDwFqv2b/AI+rmMWcAB5MkzCNcf8AfWfwoAtx+MdCksY777Y6WMgDLdyW8qQkHofMZQuPfNbgIYAggg8givP/ABWJtL8DW+gzwx2GkTRRaZPfB/NMEbAR/cwOv3c54Jzg4rurK0isLG3s4M+TbxLEm45O1RgZP0FAE9FFFAHPeD/3el3toetrqV3Hj0UzO6/+OutdDXP6OPsvizxDZngTNBfqPZ4/KP6wE/j710FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGTLpuoz+Ire+l1C3On26t5dmLU797DG8yb8ZA3AfL0Y9+RQ1Dw1fXnjTTfEEWpW8SWMUkK25tGYukm3dl/MHOVyPl4966WigAooooAK5+P5fiHcf9NNKi/8AHZZP/i66CufuP3fxD0//AKbaVcj/AL4lg/8Ai6AOgri/Eltq2oeMfD8keiXc+l6ZLLcyyLLABJKY9ke1WkB43MeQO1dpRQByusaZfeL0i06+smsNGEqyXcczo0t0FO4RgIWCoSASc5OMY5zXVAAAADAHaiigAooooAKKKKACiiigAooooA5/xp8/hp7Xvd3Nta49RJMiH9CT+FdBXPeIP9J13w5YDnN293IP9iKNsf8AkR4q6GgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArm/E3h2/1+60xotTtra2sbyO8EL2bSGSRM7QWEi8ZIOMdQOa6SigDm9Q8MXOvT2g1zUYrixtZluFtLa2MKyyLypkJdiwB52jAzjOa6SiigAooooA57Uz9h8Z6Le9I7yKbT5Pd8CWMn6eXIP+BV0NYniy0nuvDtxJaIXvLRlvLZR1aSJg4X/gW0r9GNalndw39jb3ls4eC4jWWNh/ErDIP5GgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5/V/wB14w8OTf3xdW+f96MPj/yF+ldBXP8Aif8AdXXh667QaqgJ/wCukckX85BQB0FFFFABRRRQAUUUUAFFFFABRRRQAUUUyWWOCF5pXCRxqWdmPCgckmgDBtf9O8eX9x1j02zS0Q+kkp8yQf8AfKwfnXQ1geD4pDoI1CdCtxqcr30ikcqJDlFPusexf+A1v0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc74X/wCJdNqPh5jj7DL5tsPW2lJZMeytvj+iCuirnPEo/su7svEicJZZhvcd7VyNzH/cYK/0D+tAHR0UAgjIOQaKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArnvG3yeFp7n/n0nt7vPoIpkkP6Ka6Gs/XrD+1PDup6fjP2q0lhx/vIR/WgDQorP0G/wD7U8O6ZqGc/arWKb/vpAf61oUAFFFFABRRRQAUUUUAFFFFABXO+LSb23tNAjPz6rN5UuO1uvzTH6FRs+sgroq5vQP+JxrF94hbmA5srD/rijfO4/33B+qohoA6MAAAAAAdAKWiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApssaTRPFKivG6lWVhkMD1Bp1FAHO+GpX0+Wfw3dOWlsVDWjscma1Jwhz3ZfuN9AT94V0VYniLTLi5it9R00D+1dPYyW4JwJVP34WP91wMexCntV/StTt9Y02G+tS3lyg/K4wyMDhlYdmBBBHYg0AXKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDnvBf7rQGsT1sbu4tMeipKwT/xzYfxroa57R/9F8W+IrLoJmt79B7OnlHH4wE/j710NABRRRQAUUUUAFFFFABRRVXUdQttK06e/vJPLt4ELucZP0A7kngDuSBQBk+JrqacW+gWMjJe6luVpE629uMebJ7HBCr/ALTr6Gtu2tobO0htbaNYoIUEccajhVAwAPwrH8O6fcq1zrOpps1LUNpaInP2aIZ8uEfTJLerM3bFbtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/2Q==)\n \n\nBy orthogonality of \\((A)\\) and \\((B)\\) we find that \\(\\overline{A L}\\) , \\(\\overline{A L^{*}}\\) , \\(\\overline{B K}\\) , \\(\\overline{B K^{*}}\\) are tangents to \\(\\omega\\) (in particular, \\(K L K^{*}L^{*}\\) is harmonic). In particular \\(\\overline{M K}\\) and \\(\\overline{M L}\\) are tangents to \\(\\omega\\) , so \\(M K = M L\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2012-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2012/5, proposed by Josef Tkadlec (CZE) \n"}} +{"year": "2012", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with \\(\\angle B C A = 90^{\\circ}\\) , and let \\(D\\) be the foot of the altitude from \\(C\\) . Let \\(X\\) be a point in the interior of the segment \\(C D\\) . Let \\(K\\) be the point on the segment \\(A X\\) such that \\(B K = B C\\) . Similarly, let \\(L\\) be the point on the segment \\(B X\\) such that \\(A L = A C\\) . Let \\(M = \\overline{A L} \\cap \\overline{B K}\\) . Prove that \\(M K = M L\\) .", "solution": "Let \\(\\omega_{A}\\) and \\(\\omega_{B}\\) be the circles through \\(C\\) centered at \\(A\\) and \\(B\\) ; extend rays \\(A K\\) and \\(B L\\) to hit \\(\\omega_{B}\\) and \\(\\omega_{A}\\) again at \\(K^{*}\\) , \\(L^{*}\\) . By radical center \\(X\\) , we have \\(K L K^{*}L^{*}\\) is cyclic, say with circumcircle \\(\\omega\\) . \n\n![md5:9c033ce1ee1d21e8491878caf87174c1](9c033ce1ee1d21e8491878caf87174c1.jpeg)\n \n\nBy orthogonality of \\((A)\\) and \\((B)\\) we find that \\(\\overline{A L}\\) , \\(\\overline{A L^{*}}\\) , \\(\\overline{B K}\\) , \\(\\overline{B K^{*}}\\) are tangents to \\(\\omega\\) (in particular, \\(K L K^{*}L^{*}\\) is harmonic). In particular \\(\\overline{M K}\\) and \\(\\overline{M L}\\) are tangents to \\(\\omega\\) , so \\(M K = M L\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2012-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2012/5, proposed by Josef Tkadlec (CZE) \n"}} {"year": "2012", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Find all positive integers \\(n\\) for which there exist non-negative integers \\(a_{1}, a_{2}, \\ldots , a_{n}\\) such that \n\n\\[\\frac{1}{2^{a_{1}}} + \\frac{1}{2^{a_{2}}} + \\dots + \\frac{1}{2^{a_{n}}} = \\frac{1}{3^{a_{1}}} + \\frac{2}{3^{a_{2}}} + \\dots + \\frac{n}{3^{a_{n}}} = 1.\\]", "solution": "The answer is \\(n\\equiv 1,2\\) (mod 4). To see these are necessary, note that taking the latter equation modulo 2 gives \n\n\\[1 = \\frac{1}{3^{a_{1}}} +\\frac{2}{3^{a_{2}}} +\\dots +\\frac{n}{3^{a_{n}}}\\equiv 1 + 2 + \\ldots +n\\pmod {2}.\\] \n\nNow we prove these are sufficient. The following nice construction was posted on AOPs by the user cfheolipixin. \n\nClaim — If \\(n = 2k - 1\\) works then so does \\(n = 2k\\) \n\nProof. Replace \n\n\\[\\frac{k}{3^{r}} = \\frac{k}{3^{r + 1}} +\\frac{2k}{3^{r + 1}}. \\quad (*)\\] \n\nClaim — If \\(n = 4k + 2\\) works then so does \\(n = 4k + 13\\) \n\nProof. First use the identity \n\n\\[\\frac{k + 2}{3^{r}} = \\frac{k + 2}{3^{r + 2}} +\\frac{4k + 3}{3^{r + 3}} +\\frac{4k + 5}{3^{r + 3}} +\\frac{4k + 7}{3^{r + 3}} +\\frac{4k + 9}{3^{r + 3}} +\\frac{4k + 11}{3^{r + 3}} +\\frac{4k + 13}{3^{r + 3}}\\] \n\nto fill in the odd numbers. The even numbers can then be instantiated with \\((\\ast)\\) too. \n\nThus it suffices to construct base cases for \\(n = 1\\) , \\(n = 5\\) , \\(n = 9\\) . They are \n\n\\[1 = \\frac{1}{3^{0}}\\] \\[\\quad = \\frac{1}{3^{2}} +\\frac{2}{3^{2}} +\\frac{3}{3^{2}} +\\frac{4}{3^{3}} +\\frac{5}{3^{3}}\\] \\[\\quad = \\frac{1}{3^{2}} +\\frac{2}{3^{3}} +\\frac{3}{3^{3}} +\\frac{4}{3^{3}} +\\frac{5}{3^{3}} +\\frac{6}{3^{4}} +\\frac{7}{3^{4}} +\\frac{8}{3^{4}} +\\frac{9}{3^{4}}.\\]", "metadata": {"resource_path": "IMO/segmented/en-IMO-2012-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2012/6, proposed by Dusan Djukic (SRB) \n"}} diff --git a/IMO/segmented/en-IMO-2013-notes.jsonl b/IMO/segmented/en-IMO-2013-notes.jsonl index 6f10ca8295f65594597cfe530200d1fe580d7fcd..53b6a334262c8df52f74e40a75178166f1d534d7 100644 --- a/IMO/segmented/en-IMO-2013-notes.jsonl +++ b/IMO/segmented/en-IMO-2013-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2013", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(k\\) and \\(n\\) be positive integers. Prove that there exist positive integers \\(m_{1}\\) , ..., \\(m_{k}\\) such that \n\n\\[1 + \\frac{2^{k} - 1}{n} = \\left(1 + \\frac{1}{m_{1}}\\right)\\left(1 + \\frac{1}{m_{2}}\\right)\\dots \\left(1 + \\frac{1}{m_{k}}\\right).\\]", "solution": "By induction on \\(k \\geq 1\\) . When \\(k = 1\\) there is nothing to prove. \n\nFor the inductive step, if \\(n\\) is even, write \n\n\\[\\frac{n + (2^{k} - 1)}{n} = \\left(1 + \\frac{1}{n + (2^{k} - 2)}\\right)\\cdot \\frac{\\frac{n}{2} + (2^{k - 1} - 1)}{\\frac{n}{2}}\\] \n\nand use inductive hypothesis on the second term. On the other hand if \\(n\\) is odd then write \n\n\\[\\frac{n + (2^{k} - 1)}{n} = \\left(1 + \\frac{1}{n}\\right)\\cdot \\frac{\\frac{n + 1}{2} + (2^{k - 1} - 1)}{\\frac{n + 1}{2}}\\] \n\nand use inductive hypothesis on the second term.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2013/1, proposed by Japan \n"}} {"year": "2013", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "A configuration of 4027 points in the plane is called Colombian if it consists of 2013 red points and 2014 blue points, and no three of the points of the configuration are collinear. By drawing some lines, the plane is divided into several regions. An arrangement of lines is good for a Colombian configuration if the following two conditions are satisfied: \n\n(i) No line passes through any point of the configuration. \n\n(ii) No region contains points of both colors. \n\nFind the least value of \\(k\\) such that for any Colombian configuration of 4027 points, there is a good arrangement of \\(k\\) lines.", "solution": "The answer is \\(k \\geq 2013\\) . \n\nTo see that \\(k = 2013\\) is necessary, consider a regular 4026- gon and alternatively color the points red and blue, then place the last blue point anywhere in general position (it doesn't matter). Each side of the 4026 is a red- blue line segment which needs to be cut by one of the \\(k\\) lines, and each line can cut at most two of the segments. \n\nNow, we prove that \\(k = 2013\\) lines is sufficient. Consider the convex hull of all the points. \n\n- If the convex hull has any red points, cut that red point off from everyone else by a single line. Then, for each of the remaining 2012 red points, break them into 1006 pairs arbitrarily, and for each pair \\(\\{A,B\\}\\) draw two lines parallel to \\(AB\\) and close to them.- If the convex hull has two consecutive blue points, cut those two blue points off from everyone else by a single line. Then repeat the above construction for the remaining 2012 blue points. \n\nThe end.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2013/2, proposed by Ivan Guo (AUS) \n"}} -{"year": "2013", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let the excircle of triangle \\(A B C\\) opposite the vertex \\(A\\) be tangent to the side \\(B C\\) at the point \\(A_{1}\\) . Define the points \\(B_{1}\\) on \\(C A\\) and \\(C_{1}\\) on \\(A B\\) analogously, using the excircles opposite \\(B\\) and \\(C\\) , respectively. Suppose that the circumcenter of triangle \\(A_{1}B_{1}C_{1}\\) lies on the circumcircle of triangle \\(A B C\\) . Prove that triangle \\(A B C\\) is right-angled.", "solution": "We ignore for now the given condition and prove the following important lemma. \n\n## Lemma \n\nLet \\((AB_{1}C_{1})\\) meet \\((ABC)\\) again at \\(X\\) . From \\(BC_{1} = B_{1}C\\) follows \\(XC_{1} = XB_{1}\\) , and \\(X\\) is the midpoint of major arc \\(\\widehat{BC}\\) . \n\nProof. This follows from the fact that we have a spiral similarity \\(\\triangle XBC_{1} \\sim \\triangle XCB_{1}\\) which must actually be a spiral congruence since \\(BC_{1} = B_{1}C\\) . \\(\\square\\) \n\nWe define the arc midpoints \\(Y\\) and \\(Z\\) similarly, which lie on the perpendicular bisectors of \\(\\overline{A_{1}C_{1}}\\) , \\(\\overline{A_{1}B_{1}}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nWe now turn to the problem condition which asserts the circumcenter \\(W\\) of \\(\\triangle A_{1}B_{1}C_{1}\\) lies on \\((ABC)\\) . \n\nClaim — We may assume WLOG that \\(W = X\\) . \n\nProof. This is just configuration analysis, since we already knew that the arc midpoints both lie on \\((ABC)\\) and the relevant perpendicular bisectors.\n\n\n\nPoint \\(W\\) lies on \\((ABC)\\) and hence outside \\(\\triangle ABC\\) , hence outside \\(\\triangle A_{1}B_{1}C_{1}\\) . Thus we may assume WLOG that \\(\\angle B_{1}A_{1}C_{1} > 90^{\\circ}\\) . Then \\(A\\) and \\(X\\) lie on the same side of line \\(\\overline{B_{1}C_{1}}\\) , and since \\(W\\) is supposed to lie both on \\((ABC)\\) and the perpendicular bisector of \\(\\overline{B_{1}C_{1}}\\) it follows \\(W = X\\) . \\(\\square\\) \n\nConsequently, \\(\\overline{XY}\\) and \\(\\overline{XZ}\\) are exactly the perpendicular bisectors of \\(\\overline{A_{1}C_{1}}\\) , \\(\\overline{A_{1}B_{1}}\\) . The rest is angle chase, the fastest one is \n\n\\[\\angle A = \\angle C_{1}X B_{1} = \\angle C_{1}X A_{1} + \\angle A_{1}X B_{1} = 2\\angle Y X A_{1} + 2\\angle A_{1}X Z\\] \\[\\qquad = 2\\angle Y X Z = 180^{\\circ} - \\angle A\\] \n\nwhich solves the problem. \n\nRemark. Angle chasing is also possible even without the points \\(Y\\) and \\(Z\\) , though it takes much longer. Introduce the Bevan point \\(V\\) and use the fact that \\(V A_{1}B_{1}C\\) is cyclic (with diameter \\(\\overline{VC}\\) ) and similarly \\(V A_{1}C_{1}B\\) is cyclic; a calculation then gives \\(\\angle C V B = 180^{\\circ} - \\frac{1}{2}\\angle A\\) . Thus \\(V\\) lies on the circle with diameter \\(\\overline{I_{b}I_{c}}\\) .\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2013/3, proposed by Alexander A. Polyansky (RUS) \n"}} -{"year": "2013", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an acute triangle with orthocenter \\(H\\) , and let \\(W\\) be a point on the side \\(\\overline{{B C}}\\) , between \\(B\\) and \\(C\\) . The points \\(M\\) and \\(N\\) are the feet of the altitudes drawn from \\(B\\) and \\(C\\) , respectively. Suppose \\(\\omega_{1}\\) is the circumcircle of triangle \\(B W N\\) and \\(X\\) is a point such that \\(\\overline{{W X}}\\) is a diameter of \\(\\omega_{1}\\) . Similarly, \\(\\omega_{2}\\) is the circumcircle of triangle \\(C W M\\) and \\(Y\\) is a point such that \\(\\overline{{W Y}}\\) is a diameter of \\(\\omega_{2}\\) . Show that the points \\(X\\) , \\(Y\\) , and \\(H\\) are collinear.", "solution": "## Problem stae present two solutions, an elementary one and then an advanced one by moving points. \n\n\\(\\P\\) First solution, classical. Let \\(P\\) be the second intersection of \\(\\omega_{1}\\) and \\(\\omega_{2}\\) ; this is the Miquel point, so \\(P\\) also lies on the circumcircle of \\(AMN\\) , which is the circle with diameter \\(\\overline{AH}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nWe now contend: \n\nClaim — Points \\(P\\) , \\(H\\) , \\(X\\) collinear. (Similarly, points \\(P\\) , \\(H\\) , \\(Y\\) are collinear.) \n\nProof using power of a point. By radical axis on \\(BNMC\\) , \\(\\omega_{1}\\) , \\(\\omega_{2}\\) , it follows that \\(A\\) , \\(P\\) , \\(W\\) are collinear. We know that \\(\\angle APH = 90^{\\circ}\\) , and also \\(\\angle XPW = 90^{\\circ}\\) by construction. Thus \\(P\\) , \\(H\\) , \\(X\\) are collinear. \\(\\square\\) \n\nProof using angle chasing. This is essentially Reim's theorem: \n\n\\[\\angle NPH = \\angle NAH = \\angle BAH = \\angle ABX = \\angle NBX = \\angle NPX\\] \n\nas desired. Alternatively, one may prove \\(A\\) , \\(P\\) , \\(W\\) are collinear by \\(\\angle NPA = \\angle NMA = \\angle NMC = \\angle NBC = \\angle NBW = \\angle NPW\\) . \\(\\square\\)\n\n\n\n\\(\\P\\) Second solution, by moving points. Fix \\(\\triangle ABC\\) and vary \\(W\\) . Let \\(\\infty\\) be the point at infinity perpendicular to \\(\\overline{BC}\\) for brevity. \n\nBy spiral similarity, the point \\(X\\) moves linearly on \\(\\overline{B\\infty}\\) as \\(W\\) varies linearly on \\(\\overline{BC}\\) . Similarly, so does \\(Y\\) . So in other words, the map \n\n\\[X\\mapsto W\\mapsto Y\\] \n\nis linear. However, the map \n\n\\[X\\mapsto Y^{\\prime}:= \\overline{XH}\\cap \\overline{C\\infty}\\] \n\nis linear too. \n\nTo show that these maps are the same, it suffices to check it thus at two points. \n\n- When \\(W = B\\) , the circle \\((BNW)\\) degenerates to the circle through \\(B\\) tangent to \\(\\overline{BC}\\) , and \\(X = \\overline{CN} \\cap \\overline{B\\infty}\\) . We have \\(Y = Y' = C\\) . \n\n- When \\(W = C\\) , the result is analogous. \n\n- Although we don't need to do so, it's also easy to check the result if \\(W\\) is the foot from \\(A\\) since then \\(XHWB\\) and \\(YHWC\\) are rectangles.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2013/4, proposed by Warut Suksompong, Potcharapol Suteparuk (THA) \n"}} +{"year": "2013", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let the excircle of triangle \\(A B C\\) opposite the vertex \\(A\\) be tangent to the side \\(B C\\) at the point \\(A_{1}\\) . Define the points \\(B_{1}\\) on \\(C A\\) and \\(C_{1}\\) on \\(A B\\) analogously, using the excircles opposite \\(B\\) and \\(C\\) , respectively. Suppose that the circumcenter of triangle \\(A_{1}B_{1}C_{1}\\) lies on the circumcircle of triangle \\(A B C\\) . Prove that triangle \\(A B C\\) is right-angled.", "solution": "We ignore for now the given condition and prove the following important lemma. \n\n## Lemma \n\nLet \\((AB_{1}C_{1})\\) meet \\((ABC)\\) again at \\(X\\) . From \\(BC_{1} = B_{1}C\\) follows \\(XC_{1} = XB_{1}\\) , and \\(X\\) is the midpoint of major arc \\(\\widehat{BC}\\) . \n\nProof. This follows from the fact that we have a spiral similarity \\(\\triangle XBC_{1} \\sim \\triangle XCB_{1}\\) which must actually be a spiral congruence since \\(BC_{1} = B_{1}C\\) . \\(\\square\\) \n\nWe define the arc midpoints \\(Y\\) and \\(Z\\) similarly, which lie on the perpendicular bisectors of \\(\\overline{A_{1}C_{1}}\\) , \\(\\overline{A_{1}B_{1}}\\) . \n\n![md5:f1d35b211545aba277877384377adc21](f1d35b211545aba277877384377adc21.jpeg)\n \n\nWe now turn to the problem condition which asserts the circumcenter \\(W\\) of \\(\\triangle A_{1}B_{1}C_{1}\\) lies on \\((ABC)\\) . \n\nClaim — We may assume WLOG that \\(W = X\\) . \n\nProof. This is just configuration analysis, since we already knew that the arc midpoints both lie on \\((ABC)\\) and the relevant perpendicular bisectors.\n\n\n\nPoint \\(W\\) lies on \\((ABC)\\) and hence outside \\(\\triangle ABC\\) , hence outside \\(\\triangle A_{1}B_{1}C_{1}\\) . Thus we may assume WLOG that \\(\\angle B_{1}A_{1}C_{1} > 90^{\\circ}\\) . Then \\(A\\) and \\(X\\) lie on the same side of line \\(\\overline{B_{1}C_{1}}\\) , and since \\(W\\) is supposed to lie both on \\((ABC)\\) and the perpendicular bisector of \\(\\overline{B_{1}C_{1}}\\) it follows \\(W = X\\) . \\(\\square\\) \n\nConsequently, \\(\\overline{XY}\\) and \\(\\overline{XZ}\\) are exactly the perpendicular bisectors of \\(\\overline{A_{1}C_{1}}\\) , \\(\\overline{A_{1}B_{1}}\\) . The rest is angle chase, the fastest one is \n\n\\[\\angle A = \\angle C_{1}X B_{1} = \\angle C_{1}X A_{1} + \\angle A_{1}X B_{1} = 2\\angle Y X A_{1} + 2\\angle A_{1}X Z\\] \\[\\qquad = 2\\angle Y X Z = 180^{\\circ} - \\angle A\\] \n\nwhich solves the problem. \n\nRemark. Angle chasing is also possible even without the points \\(Y\\) and \\(Z\\) , though it takes much longer. Introduce the Bevan point \\(V\\) and use the fact that \\(V A_{1}B_{1}C\\) is cyclic (with diameter \\(\\overline{VC}\\) ) and similarly \\(V A_{1}C_{1}B\\) is cyclic; a calculation then gives \\(\\angle C V B = 180^{\\circ} - \\frac{1}{2}\\angle A\\) . Thus \\(V\\) lies on the circle with diameter \\(\\overline{I_{b}I_{c}}\\) .\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2013/3, proposed by Alexander A. Polyansky (RUS) \n"}} +{"year": "2013", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an acute triangle with orthocenter \\(H\\) , and let \\(W\\) be a point on the side \\(\\overline{{B C}}\\) , between \\(B\\) and \\(C\\) . The points \\(M\\) and \\(N\\) are the feet of the altitudes drawn from \\(B\\) and \\(C\\) , respectively. Suppose \\(\\omega_{1}\\) is the circumcircle of triangle \\(B W N\\) and \\(X\\) is a point such that \\(\\overline{{W X}}\\) is a diameter of \\(\\omega_{1}\\) . Similarly, \\(\\omega_{2}\\) is the circumcircle of triangle \\(C W M\\) and \\(Y\\) is a point such that \\(\\overline{{W Y}}\\) is a diameter of \\(\\omega_{2}\\) . Show that the points \\(X\\) , \\(Y\\) , and \\(H\\) are collinear.", "solution": "## Problem stae present two solutions, an elementary one and then an advanced one by moving points. \n\n\\(\\P\\) First solution, classical. Let \\(P\\) be the second intersection of \\(\\omega_{1}\\) and \\(\\omega_{2}\\) ; this is the Miquel point, so \\(P\\) also lies on the circumcircle of \\(AMN\\) , which is the circle with diameter \\(\\overline{AH}\\) . \n\n![md5:32e685f10a339436e466084acbd020bc](32e685f10a339436e466084acbd020bc.jpeg)\n \n\nWe now contend: \n\nClaim — Points \\(P\\) , \\(H\\) , \\(X\\) collinear. (Similarly, points \\(P\\) , \\(H\\) , \\(Y\\) are collinear.) \n\nProof using power of a point. By radical axis on \\(BNMC\\) , \\(\\omega_{1}\\) , \\(\\omega_{2}\\) , it follows that \\(A\\) , \\(P\\) , \\(W\\) are collinear. We know that \\(\\angle APH = 90^{\\circ}\\) , and also \\(\\angle XPW = 90^{\\circ}\\) by construction. Thus \\(P\\) , \\(H\\) , \\(X\\) are collinear. \\(\\square\\) \n\nProof using angle chasing. This is essentially Reim's theorem: \n\n\\[\\angle NPH = \\angle NAH = \\angle BAH = \\angle ABX = \\angle NBX = \\angle NPX\\] \n\nas desired. Alternatively, one may prove \\(A\\) , \\(P\\) , \\(W\\) are collinear by \\(\\angle NPA = \\angle NMA = \\angle NMC = \\angle NBC = \\angle NBW = \\angle NPW\\) . \\(\\square\\)\n\n\n\n\\(\\P\\) Second solution, by moving points. Fix \\(\\triangle ABC\\) and vary \\(W\\) . Let \\(\\infty\\) be the point at infinity perpendicular to \\(\\overline{BC}\\) for brevity. \n\nBy spiral similarity, the point \\(X\\) moves linearly on \\(\\overline{B\\infty}\\) as \\(W\\) varies linearly on \\(\\overline{BC}\\) . Similarly, so does \\(Y\\) . So in other words, the map \n\n\\[X\\mapsto W\\mapsto Y\\] \n\nis linear. However, the map \n\n\\[X\\mapsto Y^{\\prime}:= \\overline{XH}\\cap \\overline{C\\infty}\\] \n\nis linear too. \n\nTo show that these maps are the same, it suffices to check it thus at two points. \n\n- When \\(W = B\\) , the circle \\((BNW)\\) degenerates to the circle through \\(B\\) tangent to \\(\\overline{BC}\\) , and \\(X = \\overline{CN} \\cap \\overline{B\\infty}\\) . We have \\(Y = Y' = C\\) . \n\n- When \\(W = C\\) , the result is analogous. \n\n- Although we don't need to do so, it's also easy to check the result if \\(W\\) is the foot from \\(A\\) since then \\(XHWB\\) and \\(YHWC\\) are rectangles.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2013/4, proposed by Warut Suksompong, Potcharapol Suteparuk (THA) \n"}} {"year": "2013", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Suppose a function \\(f\\colon \\mathbb{Q}_{>0}\\to \\mathbb{R}\\) satisfies: \n\n(i) If \\(x,y\\in \\mathbb{Q}_{>0}\\) , then \\(f(x)f(y)\\geq f(xy)\\) \n\n(ii) If \\(x,y\\in \\mathbb{Q}_{>0}\\) , then \\(f(x + y)\\geq f(x) + f(y)\\) \n\n(iii) There exists a rational number \\(a > 1\\) with \\(f(a) = a\\) \n\nProve that \\(f(x) = x\\) for all positive rational numbers \\(x\\)", "solution": "First, we dispense of negative situations by proving: \n\nClaim — For any integer \\(n > 0\\) , we have \\(f(n) \\geq n\\) . \n\nProof. Note by induction on (ii) we have \\(f(nx) \\geq nf(x)\\) . Taking \\((x,y) = (a,1)\\) in (i) gives \\(f(1) \\geq 1\\) , and hence \\(f(n) \\geq n\\) . \\(\\square\\) \n\nClaim — The \\(f\\) takes only positive values, and hence by (ii) is strictly increasing. \n\nProof, suggested by Gopal Goel. Let \\(p,q > 0\\) be integers. Then \\(f(q)f(p / q)\\geq f(p)\\) , and since both \\(\\min (f(p),f(q)) > 0\\) it follows \\(f(p / q) > 0\\) . \\(\\square\\) \n\nClaim — For any \\(x > 1\\) we have \\(f(x) \\geq x\\) . \n\nProof. Note that \n\n\\[f(x)^{N}\\geq f(x^{N})\\geq f\\left(\\left\\lfloor x^{N}\\right\\rfloor\\right)\\geq \\left\\lfloor x^{N}\\right\\rfloor >x^{N} - 1\\] \n\nfor any integer \\(N\\) . Since \\(N\\) can be arbitrarily large, we conclude \\(f(x) \\geq x\\) for \\(x > 1\\) . \\(\\square\\) \n\nOn the other hand, \\(f\\) has arbitrarily large fixed points (namely powers of \\(a\\) ) so from (ii) we're essentially done. First, for \\(x > 1\\) pick a large \\(m\\) and note \n\n\\[a^{m} = f(a^{m})\\geq f(a^{m} - x) + f(x)\\geq (a^{m} - x) + x = a^{m}.\\] \n\nFinally, for \\(x \\leq 1\\) use \n\n\\[n f(x) = f(n)f(x)\\geq f(n x)\\geq n f(x)\\] \n\nfor large \\(n\\) . \n\nRemark. Note that \\(a > 1\\) is essential; if \\(b \\geq 1\\) then \\(f(x) = bx^{2}\\) works with unique fixed point \\(1 / b \\leq 1\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2013/5, proposed by Nikolai Nikolov (BGR) \n"}} -{"year": "2013", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\geq 3\\) be an integer, and consider a circle with \\(n + 1\\) equally spaced points marked on it. Consider all labellings of these points with the numbers \\(0,1,\\ldots ,n\\) such that each label is used exactly once; two such labellings are considered to be the same if one can be obtained from the other by a rotation of the circle. A labelling is called beautiful if, for any four labels \\(a< b< c< d\\) with \\(a + d = b + c\\) , the chord joining the points labelled \\(a\\) and \\(d\\) does not intersect the chord joining the points labelled \\(b\\) and \\(c\\) . Let \\(M\\) be the number of beautiful labellings, and let \\(N\\) be the number of ordered pairs \\((x,y)\\) of positive integers such that \\(x + y\\leq n\\) and \\(\\gcd (x,y) = 1\\) . Prove that \\(M = N + 1\\) .", "solution": ". \n\nFirst, here are half of the beautiful labellings up to reflection for \\(n = 6\\) , just for concreteness. \n\n![](data:image/jpeg;base64,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)\n \n\nAbbreviate \"beautiful labelling of points around a circle\" to ring. Moreover, throughout the solution we will allow degenerate chords that join a point to itself; this has no effect on the problem statement. \n\nThe idea is to proceed by induction in the following way. A ring of \\([0,n]\\) is called linear if it is an arithmetic progression modulo \\(n + 1\\) . For example, the first two rings in the diagram and the last one are linear for \\(n = 6\\) , while the other three are not. \n\nOf course we can move from any ring on \\([0,n]\\) to a ring on \\([0,n - 1]\\) by deleting \\(n\\) . We are going to prove that: \n\n- Each linear ring on \\([0,n - 1]\\) yields exactly two rings of \\([0,n]\\) , and\n\n\n\n- Each nonlinear ring on \\([0, n - 1]\\) yields exactly one rings of \\([0, n]\\) . \n\nIn light of the fact there are obviously \\(\\phi (n)\\) linear rings on \\([0, n]\\) , the conclusion will follow by induction. \n\nWe say a set of chords (possibly degenerate) is pseudo- parallel if for any three of them, one of them separates the two. (Pictorially, one can perturb the endpoints along the circle in order to make them parallel in Euclidean sense.) The main structure lemma is going to be: \n\n## Lemma \n\nIn any ring, the chords of sum \\(k\\) (even including degenerate ones) are pseudo- parallel. \n\nProof. By induction on \\(n\\) . By shifting, we may assume that one of the chords is \\(\\{0, k\\}\\) and discard all numbers exceeding \\(k\\) ; that is, assume \\(n = k\\) . Suppose the other two chords are \\(\\{a, n - a\\}\\) and \\(\\{b, n - b\\}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nWe consider the chord \\(\\{u, v\\}\\) directly above \\(\\{0, n\\}\\) , drawn in blue. There are now three cases. \n\n- If \\(u + v = n\\) , then delete 0 and \\(n\\) and decrease everything by 1. Then the chords \\(\\{a - 1, n - a - 1\\}\\) , \\(\\{b - 1, n - b - 1\\}\\) , \\(\\{u - 1, v - 1\\}\\) contradict the induction hypothesis.- If \\(u + v < n\\) , then search for the chord \\(\\{u + v, n - (u + v)\\}\\) . It lies on the other side of \\(\\{0, n\\}\\) in light of chord \\(\\{0, u + v\\}\\) . Now again delete 0 and \\(n\\) and decrease everything by 1. Then the chords \\(\\{a - 1, n - a - 1\\}\\) , \\(\\{b - 1, n - b - 1\\}\\) , \\(\\{u + v - 1, n - (u + v) - 1\\}\\) contradict the induction hypothesis.- If \\(u + v > n\\) , apply the map \\(t \\mapsto n - t\\) to the entire ring. This gives the previous case as now \\((n - u) + (n - v) < n\\) . \n\nNext, we give another characterization of linear rings. \n\n## Lemma \n\nA ring on \\([0, n - 1]\\) is linear if and only if the point 0 does not lie between two chords of sum \\(n\\) . \n\nProof. It's obviously true for linear rings. Conversely, assume the property holds for some ring. Note that the chords with sum \\(n - 1\\) are pseudo- parallel and encompass every point, so they are actually parallel. Similarly, the chords of sum \\(n\\) are actually parallel and encompass every point other than 0. So the map \n\n\\[t\\mapsto n - t\\mapsto (n - 1) - (n - t) = t - 1\\pmod {n}\\]\n\n\n\nis rotation as desired. \n\n## Lemma \n\nEvery nonlinear ring on \\([0, n - 1]\\) induces exactly one ring on \\([0, n]\\) . \n\nProof. Because the chords of sum \\(n\\) are pseudo- parallel, there is at most one possibility for the location \\(n\\) . \n\nConversely, we claim that this works. The chords of sum \\(n\\) (and less than \\(n\\) ) are OK by construction, so assume for contradiction that there exists \\(a, b, c \\in \\{1, \\ldots , n - 1\\}\\) such that \\(a + b = n + c\\) . Then, we can \"reflect\" them using the (pseudo- parallel) chords of length \\(n\\) to find that \\((n - a) + (n - b) = 0 + (n - c)\\) , and the chords joining 0 to \\(n - c\\) and \\(n - a\\) to \\(n - b\\) intersect, by definition. \n\n![](data:image/jpeg;base64,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)\n \n\nThis is a contradiction that the original numbers on \\([0, n - 1]\\) form a ring. \n\n## Lemma \n\nEvery linear ring on \\([0, n - 1]\\) induces exactly two rings on \\([0, n]\\) . \n\nProof. Because the chords of sum \\(n\\) are pseudo- parallel, the point \\(n\\) must lie either directly to the left or right of 0. For the same reason as in the previous proof, both of them work.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2013/6, proposed by Alexander S. Golovanov and Mikhail A. Ivanov (RUS) \n"}} +{"year": "2013", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\geq 3\\) be an integer, and consider a circle with \\(n + 1\\) equally spaced points marked on it. Consider all labellings of these points with the numbers \\(0,1,\\ldots ,n\\) such that each label is used exactly once; two such labellings are considered to be the same if one can be obtained from the other by a rotation of the circle. A labelling is called beautiful if, for any four labels \\(a< b< c< d\\) with \\(a + d = b + c\\) , the chord joining the points labelled \\(a\\) and \\(d\\) does not intersect the chord joining the points labelled \\(b\\) and \\(c\\) . Let \\(M\\) be the number of beautiful labellings, and let \\(N\\) be the number of ordered pairs \\((x,y)\\) of positive integers such that \\(x + y\\leq n\\) and \\(\\gcd (x,y) = 1\\) . Prove that \\(M = N + 1\\) .", "solution": ". \n\nFirst, here are half of the beautiful labellings up to reflection for \\(n = 6\\) , just for concreteness. \n\n![md5:cd9fa7c41b32de12c2cc0d023875b22c](cd9fa7c41b32de12c2cc0d023875b22c.jpeg)\n \n\nAbbreviate \"beautiful labelling of points around a circle\" to ring. Moreover, throughout the solution we will allow degenerate chords that join a point to itself; this has no effect on the problem statement. \n\nThe idea is to proceed by induction in the following way. A ring of \\([0,n]\\) is called linear if it is an arithmetic progression modulo \\(n + 1\\) . For example, the first two rings in the diagram and the last one are linear for \\(n = 6\\) , while the other three are not. \n\nOf course we can move from any ring on \\([0,n]\\) to a ring on \\([0,n - 1]\\) by deleting \\(n\\) . We are going to prove that: \n\n- Each linear ring on \\([0,n - 1]\\) yields exactly two rings of \\([0,n]\\) , and\n\n\n\n- Each nonlinear ring on \\([0, n - 1]\\) yields exactly one rings of \\([0, n]\\) . \n\nIn light of the fact there are obviously \\(\\phi (n)\\) linear rings on \\([0, n]\\) , the conclusion will follow by induction. \n\nWe say a set of chords (possibly degenerate) is pseudo- parallel if for any three of them, one of them separates the two. (Pictorially, one can perturb the endpoints along the circle in order to make them parallel in Euclidean sense.) The main structure lemma is going to be: \n\n## Lemma \n\nIn any ring, the chords of sum \\(k\\) (even including degenerate ones) are pseudo- parallel. \n\nProof. By induction on \\(n\\) . By shifting, we may assume that one of the chords is \\(\\{0, k\\}\\) and discard all numbers exceeding \\(k\\) ; that is, assume \\(n = k\\) . Suppose the other two chords are \\(\\{a, n - a\\}\\) and \\(\\{b, n - b\\}\\) . \n\n![md5:c2cc10c0cc74703a3d370c02ef4addfb](c2cc10c0cc74703a3d370c02ef4addfb.jpeg)\n \n\nWe consider the chord \\(\\{u, v\\}\\) directly above \\(\\{0, n\\}\\) , drawn in blue. There are now three cases. \n\n- If \\(u + v = n\\) , then delete 0 and \\(n\\) and decrease everything by 1. Then the chords \\(\\{a - 1, n - a - 1\\}\\) , \\(\\{b - 1, n - b - 1\\}\\) , \\(\\{u - 1, v - 1\\}\\) contradict the induction hypothesis.- If \\(u + v < n\\) , then search for the chord \\(\\{u + v, n - (u + v)\\}\\) . It lies on the other side of \\(\\{0, n\\}\\) in light of chord \\(\\{0, u + v\\}\\) . Now again delete 0 and \\(n\\) and decrease everything by 1. Then the chords \\(\\{a - 1, n - a - 1\\}\\) , \\(\\{b - 1, n - b - 1\\}\\) , \\(\\{u + v - 1, n - (u + v) - 1\\}\\) contradict the induction hypothesis.- If \\(u + v > n\\) , apply the map \\(t \\mapsto n - t\\) to the entire ring. This gives the previous case as now \\((n - u) + (n - v) < n\\) . \n\nNext, we give another characterization of linear rings. \n\n## Lemma \n\nA ring on \\([0, n - 1]\\) is linear if and only if the point 0 does not lie between two chords of sum \\(n\\) . \n\nProof. It's obviously true for linear rings. Conversely, assume the property holds for some ring. Note that the chords with sum \\(n - 1\\) are pseudo- parallel and encompass every point, so they are actually parallel. Similarly, the chords of sum \\(n\\) are actually parallel and encompass every point other than 0. So the map \n\n\\[t\\mapsto n - t\\mapsto (n - 1) - (n - t) = t - 1\\pmod {n}\\]\n\n\n\nis rotation as desired. \n\n## Lemma \n\nEvery nonlinear ring on \\([0, n - 1]\\) induces exactly one ring on \\([0, n]\\) . \n\nProof. Because the chords of sum \\(n\\) are pseudo- parallel, there is at most one possibility for the location \\(n\\) . \n\nConversely, we claim that this works. The chords of sum \\(n\\) (and less than \\(n\\) ) are OK by construction, so assume for contradiction that there exists \\(a, b, c \\in \\{1, \\ldots , n - 1\\}\\) such that \\(a + b = n + c\\) . Then, we can \"reflect\" them using the (pseudo- parallel) chords of length \\(n\\) to find that \\((n - a) + (n - b) = 0 + (n - c)\\) , and the chords joining 0 to \\(n - c\\) and \\(n - a\\) to \\(n - b\\) intersect, by definition. \n\n![md5:080a52ffa12ebb1a2ac31edf885a7495](080a52ffa12ebb1a2ac31edf885a7495.jpeg)\n \n\nThis is a contradiction that the original numbers on \\([0, n - 1]\\) form a ring. \n\n## Lemma \n\nEvery linear ring on \\([0, n - 1]\\) induces exactly two rings on \\([0, n]\\) . \n\nProof. Because the chords of sum \\(n\\) are pseudo- parallel, the point \\(n\\) must lie either directly to the left or right of 0. For the same reason as in the previous proof, both of them work.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2013-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2013/6, proposed by Alexander S. Golovanov and Mikhail A. Ivanov (RUS) \n"}} diff --git a/IMO/segmented/en-IMO-2014-notes.jsonl b/IMO/segmented/en-IMO-2014-notes.jsonl index e975f5584d4e0b9181d3c25cdd62e99e7b67d9a2..875c0e326b1b840b347bd6d071e40789993a5d9c 100644 --- a/IMO/segmented/en-IMO-2014-notes.jsonl +++ b/IMO/segmented/en-IMO-2014-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2014", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{0}< a_{1}< a_{2}< \\dots\\) be an infinite sequence of positive integers. Prove that there exists a unique integer \\(n\\geq 1\\) such that \n\n\\[a_{n}< \\frac{a_{0} + a_{1} + a_{2} + \\cdots + a_{n}}{n}\\leq a_{n + 1}.\\]", "solution": "Fedor Petrov presents the following nice solution. Let us define the sequence \n\n\\[b_{n} = (a_{n} - a_{n - 1}) + \\cdot \\cdot \\cdot +(a_{n} - a_{1}).\\] \n\nSince \\((a_{n})_{n}\\) is increasing, we get \\((b_{n})_{n}\\) is strictly increasing, and moreover \\(b_{1} = 0\\) . The problem requires an \\(n\\) such that \n\n\\[b_{n}< a_{0}\\leq b_{n + 1}\\] \n\nwhich obviously exists and is unique.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2014/1, proposed by Gerhard Woeginger (AUT) \n"}} -{"year": "2014", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\geq 2\\) be an integer. Consider an \\(n\\times n\\) chessboard consisting of \\(n^{2}\\) unit squares. A configuration of \\(n\\) rooks on this board is peaceful if every row and every column contains exactly one rook. Find the greatest positive integer \\(k\\) such that, for each peaceful configuration of \\(n\\) rooks, there is a \\(k\\times k\\) square which does not contain a rook on any of its \\(k^{2}\\) unit squares.", "solution": "The answer is \\(k = \\lfloor \\sqrt{n - 1} \\rfloor\\) . \n\n\\(\\P\\) Proof that the property holds when \\(n\\geq k^{2} + 1\\) . First, assume \\(n > k^{2}\\) for some \\(k\\) . We will prove we can find an empty \\(k\\times k\\) square. Indeed, let \\(R\\) be a rook in the uppermost column, and draw \\(k\\) squares of size \\(k\\times k\\) directly below it, aligned. There are at most \\(k - 1\\) rooks among these squares, as desired. \n\n![](data:image/jpeg;base64,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)\n \n\n\\(\\P\\) Construction for all \\(n\\leq k^{2}\\) . We first give an example where for \\(n = k^{2}\\) showing there may be no empty \\(k\\times k\\) square. We draw the example for \\(k = 3\\) (with the generalization being obvious); \n\n![](data:image/jpeg;base64,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)\n \n\nTo show that this works, consider for each rook drawing an \\(k\\times k\\) square of \\(X\\) 's whose bottom- right hand corner is the rook (these may go off the board). These indicate\n\n\n\npositions where one cannot place the upper- left hand corner of any square. It’s easy to see that these cover the entire board, except parts of the last \\(k - 1\\) columns, which don’t matter anyways. \n\nIt remains to check that \\(n \\leq k^{2}\\) also all work (omitting this step is a common mistake). For this, we can delete rows and column to get an \\(n \\times n\\) board, and then fill in any gaps where we accidentally deleted a rook.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2014/2, proposed by Tonči Kokan (HRV) \n"}} -{"year": "2014", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Convex quadrilateral \\(A B C D\\) has \\(\\angle A B C = \\angle C D A = 90^{\\circ}\\) . Point \\(H\\) is the foot of the perpendicular from \\(A\\) to \\(\\overline{{B D}}\\) . Points \\(S\\) and \\(T\\) lie on sides \\(A B\\) and \\(A D\\) , respectively, such that \\(H\\) lies inside triangle \\(S C T\\) and \n\n\\[\\angle C H S - \\angle C S B = 90^{\\circ},\\quad \\angle T H C - \\angle D T C = 90^{\\circ}.\\] \n\nProve that line \\(B D\\) is tangent to the circumcircle of triangle \\(T S H\\)", "solution": ") . \n\nFirst solution (mine). First we rewrite the angle condition in a suitable way. \n\nClaim — We have \\(\\angle A T H = \\angle T C H + 90^{\\circ}\\) . Thus the circumcenter of \\(\\triangle C T H\\) lies on \\(\\overline{{A D}}\\) . Similarly the circumcenter of \\(\\triangle C S H\\) lies on \\(\\overline{{A B}}\\) . \n\nProof. \n\n\\[\\angle A T H = \\angle D T H\\] \\[\\qquad = \\angle D T C + \\angle C T H\\] \\[\\qquad = \\angle D T C - \\angle T H C - \\angle H C T\\] \\[\\qquad = 90^{\\circ} - \\angle H C T = 90^{\\circ} + \\angle T C H.\\] \n\nwhich implies conclusion. \n\n![](data:image/jpeg;base64,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)\n \n\nLet the perpendicular bisector of \\(T H\\) meet \\(A H\\) at \\(P\\) now. It suffices to show that \\(\\frac{A P}{P H}\\) is symmetric in \\(b = A D\\) and \\(d = A B\\) , because then \\(P\\) will be the circumcenter of \\(\\triangle T S H\\) . To do this, set \\(A H = \\frac{b d}{2 R}\\) and \\(A C = 2 R\\) . \n\nLet \\(O\\) denote the circumcenter of \\(\\triangle C H T\\) . Use the Law of Cosines on \\(\\triangle A C O\\) and \\(\\triangle A H O\\) , using variables \\(x = A O\\) and \\(r = H O\\) . We get that \n\n\\[r^{2} = x^{2} + A H^{2} - 2x\\cdot A H\\cdot \\frac{d}{2R} = x^{2} + (2R)^{2} - 2b x.\\]\n\n\n\nBy the angle bisector theorem, \\(\\frac{AP}{PH} = \\frac{AO}{HO}\\) . \n\nThe rest is computation: notice that \n\n\\[r^{2} - x^{2} = h^{2} - 2xh\\cdot \\frac{d}{2R} = (2R)^{2} - 2bx\\] \n\nwhere \\(h = AH = \\frac{bd}{2R}\\) , whence \n\n\\[x = \\frac{(2R)^{2} - h^{2}}{2b - 2h\\cdot\\frac{d}{2R}}.\\] \n\nMoreover, \n\n\\[\\frac{1}{2}\\left(\\frac{r^{2}}{x^{2}} -1\\right) = \\frac{1}{x}\\left(\\frac{2}{x} R^{2} - b\\right).\\] \n\nNow, if we plug in the \\(x\\) in the right- hand side of the above, we obtain \n\n\\[\\frac{2b - 2h\\cdot\\frac{d}{2R}}{4R^{2} - h^{2}}\\left(\\frac{2b - 2h\\cdot\\frac{d}{2R}}{4R^{2}\\cdot h^{2}}\\cdot 2R^{2} - b\\right) = \\frac{2h}{(4R^{2} - h^{2})^{2}}\\left(b - h\\cdot \\frac{d}{2R}\\right)\\left(-2hdR + bh^{2}\\right).\\] \n\nPulling out a factor of \\(- 2Rh\\) from the rightmost term, we get something that is symmetric in \\(b\\) and \\(d\\) , as required. \n\n\\(\\P\\) Second solution (Victor Reis). Here is the fabled solution using inversion at \\(H\\) . First, we rephrase the angle conditions in the following ways: \n\n\\(\\overline{AD} \\perp (THC)\\) , which is equivalent to the claim from the first solution. \n\n\\(\\overline{AB} \\perp (SHC)\\) , by symmetry. \n\n\\(\\overline{AC} \\perp (ABCD)\\) , by definition. \n\nNow for concreteness we will use a negative inversion at \\(H\\) which swaps \\(B\\) and \\(D\\) and overlay it on the original diagram. As usual we denote inverses with stars. \n\nLet us describe the inverted problem. We let \\(M\\) and \\(N\\) denote the midpoints of \\(\\overline{A^{*}B^{*}}\\) and \\(\\overline{A^{*}D^{*}}\\) , which are the centers of \\((HA^{*}B^{*})\\) and \\((HA^{*}D^{*})\\) . From \\(\\overline{T^{*}C^{*}} \\perp (HA^{*}D^{*})\\) , we know have \\(C^{*}\\) , \\(M\\) , \\(T^{*}\\) collinear. Similarly, \\(C^{*}\\) , \\(N\\) , \\(S^{*}\\) are collinear. We have that \\((A^{*}HC^{*})\\) is orthogonal to \\((ABCD)\\) which remains fixed. We wish to show \\(\\overline{T^{*}S^{*}}\\) and \\(\\overline{MN}\\) are parallel. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nLot \\(\\omega\\) denote the circumcircle of \\(\\triangle A^{*}H C^{*}\\) , which is orthogonal to the original circle \\((A B C D)\\) . It would suffices to show \\((A^{*}H C^{*})\\) is an \\(H\\) - Apollonius circle with respect to \\(\\overline{{M N}}\\) , from which we would get \\(C^{*}M / H M = C^{*}N / H N\\) . \n\nHowever, \\(\\omega\\) through \\(H\\) and \\(A\\) , hence it center lies on line \\(M N\\) . Moreover \\(\\omega\\) is orthogonal to \\((A^{*}M N)\\) (since \\((A^{*}M N)\\) and \\((A^{*}B D)\\) are homothetic). This is enough (for example, if we let \\(O\\) denote the center of \\(\\omega\\) , we now have \\(\\mathrm{r}(\\omega)^{2} = O H^{2} = O M \\cdot O N\\) ). (Note in this proof that the fact that \\(C^{*}\\) lies on \\((A B C D)\\) is not relevant.)\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2014/3, proposed by ALi Zamani (IRN) \n"}} -{"year": "2014", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(P\\) and \\(Q\\) be on segment \\(B C\\) of an acute triangle \\(A B C\\) such that \\(\\angle P A B =\\) \\(\\angle B C A\\) and \\(\\angle C A Q = \\angle A B C\\) . Let \\(M\\) and \\(N\\) be points on \\(\\overline{{A P}}\\) and \\(\\overline{{A Q}}\\) , respectively, such that \\(P\\) is the midpoint of \\(\\overline{{A M}}\\) and \\(Q\\) is the midpoint of \\(\\overline{{A N}}\\) . Prove that \\(\\overline{{B M}}\\) and \\(\\overline{{C N}}\\) meet on the circumcircle of \\(\\triangle A B C\\)", "solution": ". \n\nWe give three solutions. \n\n\\(\\P\\) First solution by harmonic bundles. Let \\(\\overline{BM}\\) intersect the circumcircle again at \\(X\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nThe angle conditions imply that the tangent to \\((ABC)\\) at \\(B\\) is parallel to \\(\\overline{AP}\\) . Let \\(\\infty\\) be the point at infinity along line \\(AP\\) . Then \n\n\\[-1 = (AM;P\\infty)\\stackrel {B}{=}(AX;BC).\\] \n\nSimilarly, if \\(\\overline{CN}\\) meets the circumcircle at \\(Y\\) then \\((AY;BC) = - 1\\) as well. Hence \\(X = Y\\) , which implies the problem. \n\n\\(\\P\\) Second solution by similar triangles. Once one observes \\(\\triangle CAQ \\sim \\triangle CBA\\) , one can construct \\(D\\) the reflection of \\(B\\) across \\(A\\) , so that \\(\\triangle CAN \\sim \\triangle CBD\\) . Similarly, letting \\(E\\) be the reflection of \\(C\\) across \\(A\\) , we get \\(\\triangle BAP \\sim \\triangle BCA \\Rightarrow \\triangle BAM \\sim \\triangle BCE\\) . Now to show \\(\\angle ABM + \\angle ACN = 180^\\circ\\) it suffices to show \\(\\angle EBC + \\angle BCD = 180^\\circ\\) , which follows since \\(BCDE\\) is a parallelogram.\n\n\n\nThird solution by barycentric coordinates. Since \\(PB = c^{2} / a\\) we have \n\n\\[P = (0:a^{2} - c^{2}:c^{2})\\] \n\nso the reflection \\(\\vec{M} = 2\\vec{P} - \\vec{A}\\) has coordinates \n\n\\[M = (-a^{2}:2(a^{2} - c^{2}):2c^{2}).\\] \n\nSimilarly \\(N = (-a^{2}:2b^{2}:2(b^{2} - a^{2}))\\) . Thus \n\n\\[\\overline{BM}\\cap \\overline{CN} = (-a^{2}:2b^{2}:2c^{2})\\] \n\nwhich clearly lies on the circumcircle, and is in fact the point identified in the first solution.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2014/4, proposed by Giorgi Arabidze (GEO) \n"}} +{"year": "2014", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\geq 2\\) be an integer. Consider an \\(n\\times n\\) chessboard consisting of \\(n^{2}\\) unit squares. A configuration of \\(n\\) rooks on this board is peaceful if every row and every column contains exactly one rook. Find the greatest positive integer \\(k\\) such that, for each peaceful configuration of \\(n\\) rooks, there is a \\(k\\times k\\) square which does not contain a rook on any of its \\(k^{2}\\) unit squares.", "solution": "The answer is \\(k = \\lfloor \\sqrt{n - 1} \\rfloor\\) . \n\n\\(\\P\\) Proof that the property holds when \\(n\\geq k^{2} + 1\\) . First, assume \\(n > k^{2}\\) for some \\(k\\) . We will prove we can find an empty \\(k\\times k\\) square. Indeed, let \\(R\\) be a rook in the uppermost column, and draw \\(k\\) squares of size \\(k\\times k\\) directly below it, aligned. There are at most \\(k - 1\\) rooks among these squares, as desired. \n\n![md5:733cdd2a1448a481fbc5bf81b5b77813](733cdd2a1448a481fbc5bf81b5b77813.jpeg)\n \n\n\\(\\P\\) Construction for all \\(n\\leq k^{2}\\) . We first give an example where for \\(n = k^{2}\\) showing there may be no empty \\(k\\times k\\) square. We draw the example for \\(k = 3\\) (with the generalization being obvious); \n\n![md5:98fe987c5c75ff27c50a5d0ca3f1fb13](98fe987c5c75ff27c50a5d0ca3f1fb13.jpeg)\n \n\nTo show that this works, consider for each rook drawing an \\(k\\times k\\) square of \\(X\\) 's whose bottom- right hand corner is the rook (these may go off the board). These indicate\n\n\n\npositions where one cannot place the upper- left hand corner of any square. It’s easy to see that these cover the entire board, except parts of the last \\(k - 1\\) columns, which don’t matter anyways. \n\nIt remains to check that \\(n \\leq k^{2}\\) also all work (omitting this step is a common mistake). For this, we can delete rows and column to get an \\(n \\times n\\) board, and then fill in any gaps where we accidentally deleted a rook.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2014/2, proposed by Tonči Kokan (HRV) \n"}} +{"year": "2014", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Convex quadrilateral \\(A B C D\\) has \\(\\angle A B C = \\angle C D A = 90^{\\circ}\\) . Point \\(H\\) is the foot of the perpendicular from \\(A\\) to \\(\\overline{{B D}}\\) . Points \\(S\\) and \\(T\\) lie on sides \\(A B\\) and \\(A D\\) , respectively, such that \\(H\\) lies inside triangle \\(S C T\\) and \n\n\\[\\angle C H S - \\angle C S B = 90^{\\circ},\\quad \\angle T H C - \\angle D T C = 90^{\\circ}.\\] \n\nProve that line \\(B D\\) is tangent to the circumcircle of triangle \\(T S H\\)", "solution": ") . \n\nFirst solution (mine). First we rewrite the angle condition in a suitable way. \n\nClaim — We have \\(\\angle A T H = \\angle T C H + 90^{\\circ}\\) . Thus the circumcenter of \\(\\triangle C T H\\) lies on \\(\\overline{{A D}}\\) . Similarly the circumcenter of \\(\\triangle C S H\\) lies on \\(\\overline{{A B}}\\) . \n\nProof. \n\n\\[\\angle A T H = \\angle D T H\\] \\[\\qquad = \\angle D T C + \\angle C T H\\] \\[\\qquad = \\angle D T C - \\angle T H C - \\angle H C T\\] \\[\\qquad = 90^{\\circ} - \\angle H C T = 90^{\\circ} + \\angle T C H.\\] \n\nwhich implies conclusion. \n\n![md5:b01abdca9d6b6168995cad3ff99f6dbb](b01abdca9d6b6168995cad3ff99f6dbb.jpeg)\n \n\nLet the perpendicular bisector of \\(T H\\) meet \\(A H\\) at \\(P\\) now. It suffices to show that \\(\\frac{A P}{P H}\\) is symmetric in \\(b = A D\\) and \\(d = A B\\) , because then \\(P\\) will be the circumcenter of \\(\\triangle T S H\\) . To do this, set \\(A H = \\frac{b d}{2 R}\\) and \\(A C = 2 R\\) . \n\nLet \\(O\\) denote the circumcenter of \\(\\triangle C H T\\) . Use the Law of Cosines on \\(\\triangle A C O\\) and \\(\\triangle A H O\\) , using variables \\(x = A O\\) and \\(r = H O\\) . We get that \n\n\\[r^{2} = x^{2} + A H^{2} - 2x\\cdot A H\\cdot \\frac{d}{2R} = x^{2} + (2R)^{2} - 2b x.\\]\n\n\n\nBy the angle bisector theorem, \\(\\frac{AP}{PH} = \\frac{AO}{HO}\\) . \n\nThe rest is computation: notice that \n\n\\[r^{2} - x^{2} = h^{2} - 2xh\\cdot \\frac{d}{2R} = (2R)^{2} - 2bx\\] \n\nwhere \\(h = AH = \\frac{bd}{2R}\\) , whence \n\n\\[x = \\frac{(2R)^{2} - h^{2}}{2b - 2h\\cdot\\frac{d}{2R}}.\\] \n\nMoreover, \n\n\\[\\frac{1}{2}\\left(\\frac{r^{2}}{x^{2}} -1\\right) = \\frac{1}{x}\\left(\\frac{2}{x} R^{2} - b\\right).\\] \n\nNow, if we plug in the \\(x\\) in the right- hand side of the above, we obtain \n\n\\[\\frac{2b - 2h\\cdot\\frac{d}{2R}}{4R^{2} - h^{2}}\\left(\\frac{2b - 2h\\cdot\\frac{d}{2R}}{4R^{2}\\cdot h^{2}}\\cdot 2R^{2} - b\\right) = \\frac{2h}{(4R^{2} - h^{2})^{2}}\\left(b - h\\cdot \\frac{d}{2R}\\right)\\left(-2hdR + bh^{2}\\right).\\] \n\nPulling out a factor of \\(- 2Rh\\) from the rightmost term, we get something that is symmetric in \\(b\\) and \\(d\\) , as required. \n\n\\(\\P\\) Second solution (Victor Reis). Here is the fabled solution using inversion at \\(H\\) . First, we rephrase the angle conditions in the following ways: \n\n\\(\\overline{AD} \\perp (THC)\\) , which is equivalent to the claim from the first solution. \n\n\\(\\overline{AB} \\perp (SHC)\\) , by symmetry. \n\n\\(\\overline{AC} \\perp (ABCD)\\) , by definition. \n\nNow for concreteness we will use a negative inversion at \\(H\\) which swaps \\(B\\) and \\(D\\) and overlay it on the original diagram. As usual we denote inverses with stars. \n\nLet us describe the inverted problem. We let \\(M\\) and \\(N\\) denote the midpoints of \\(\\overline{A^{*}B^{*}}\\) and \\(\\overline{A^{*}D^{*}}\\) , which are the centers of \\((HA^{*}B^{*})\\) and \\((HA^{*}D^{*})\\) . From \\(\\overline{T^{*}C^{*}} \\perp (HA^{*}D^{*})\\) , we know have \\(C^{*}\\) , \\(M\\) , \\(T^{*}\\) collinear. Similarly, \\(C^{*}\\) , \\(N\\) , \\(S^{*}\\) are collinear. We have that \\((A^{*}HC^{*})\\) is orthogonal to \\((ABCD)\\) which remains fixed. We wish to show \\(\\overline{T^{*}S^{*}}\\) and \\(\\overline{MN}\\) are parallel. \n\n![md5:6c6e663b885af2f434582d121b110738](6c6e663b885af2f434582d121b110738.jpeg)\n\n\n\n\nLot \\(\\omega\\) denote the circumcircle of \\(\\triangle A^{*}H C^{*}\\) , which is orthogonal to the original circle \\((A B C D)\\) . It would suffices to show \\((A^{*}H C^{*})\\) is an \\(H\\) - Apollonius circle with respect to \\(\\overline{{M N}}\\) , from which we would get \\(C^{*}M / H M = C^{*}N / H N\\) . \n\nHowever, \\(\\omega\\) through \\(H\\) and \\(A\\) , hence it center lies on line \\(M N\\) . Moreover \\(\\omega\\) is orthogonal to \\((A^{*}M N)\\) (since \\((A^{*}M N)\\) and \\((A^{*}B D)\\) are homothetic). This is enough (for example, if we let \\(O\\) denote the center of \\(\\omega\\) , we now have \\(\\mathrm{r}(\\omega)^{2} = O H^{2} = O M \\cdot O N\\) ). (Note in this proof that the fact that \\(C^{*}\\) lies on \\((A B C D)\\) is not relevant.)\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2014/3, proposed by ALi Zamani (IRN) \n"}} +{"year": "2014", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(P\\) and \\(Q\\) be on segment \\(B C\\) of an acute triangle \\(A B C\\) such that \\(\\angle P A B =\\) \\(\\angle B C A\\) and \\(\\angle C A Q = \\angle A B C\\) . Let \\(M\\) and \\(N\\) be points on \\(\\overline{{A P}}\\) and \\(\\overline{{A Q}}\\) , respectively, such that \\(P\\) is the midpoint of \\(\\overline{{A M}}\\) and \\(Q\\) is the midpoint of \\(\\overline{{A N}}\\) . Prove that \\(\\overline{{B M}}\\) and \\(\\overline{{C N}}\\) meet on the circumcircle of \\(\\triangle A B C\\)", "solution": ". \n\nWe give three solutions. \n\n\\(\\P\\) First solution by harmonic bundles. Let \\(\\overline{BM}\\) intersect the circumcircle again at \\(X\\) . \n\n![md5:fa18d9847c58e109fb932f00db88746a](fa18d9847c58e109fb932f00db88746a.jpeg)\n \n\nThe angle conditions imply that the tangent to \\((ABC)\\) at \\(B\\) is parallel to \\(\\overline{AP}\\) . Let \\(\\infty\\) be the point at infinity along line \\(AP\\) . Then \n\n\\[-1 = (AM;P\\infty)\\stackrel {B}{=}(AX;BC).\\] \n\nSimilarly, if \\(\\overline{CN}\\) meets the circumcircle at \\(Y\\) then \\((AY;BC) = - 1\\) as well. Hence \\(X = Y\\) , which implies the problem. \n\n\\(\\P\\) Second solution by similar triangles. Once one observes \\(\\triangle CAQ \\sim \\triangle CBA\\) , one can construct \\(D\\) the reflection of \\(B\\) across \\(A\\) , so that \\(\\triangle CAN \\sim \\triangle CBD\\) . Similarly, letting \\(E\\) be the reflection of \\(C\\) across \\(A\\) , we get \\(\\triangle BAP \\sim \\triangle BCA \\Rightarrow \\triangle BAM \\sim \\triangle BCE\\) . Now to show \\(\\angle ABM + \\angle ACN = 180^\\circ\\) it suffices to show \\(\\angle EBC + \\angle BCD = 180^\\circ\\) , which follows since \\(BCDE\\) is a parallelogram.\n\n\n\nThird solution by barycentric coordinates. Since \\(PB = c^{2} / a\\) we have \n\n\\[P = (0:a^{2} - c^{2}:c^{2})\\] \n\nso the reflection \\(\\vec{M} = 2\\vec{P} - \\vec{A}\\) has coordinates \n\n\\[M = (-a^{2}:2(a^{2} - c^{2}):2c^{2}).\\] \n\nSimilarly \\(N = (-a^{2}:2b^{2}:2(b^{2} - a^{2}))\\) . Thus \n\n\\[\\overline{BM}\\cap \\overline{CN} = (-a^{2}:2b^{2}:2c^{2})\\] \n\nwhich clearly lies on the circumcircle, and is in fact the point identified in the first solution.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2014/4, proposed by Giorgi Arabidze (GEO) \n"}} {"year": "2014", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "For every positive integer \\(n\\) , the Bank of Cape Town issues coins of denomination \\(\\frac{1}{n}\\) . Given a finite collection of such coins (of not necessarily different denominations) with total value at most \\(99 + \\frac{1}{2}\\) , prove that it is possible to split this collection into 100 or fewer groups, such that each group has total value at most 1.", "solution": "We'll prove the result for at most \\(k - \\frac{k}{2k + 1}\\) with \\(k\\) groups. First, perform the following optimizations. \n\nIf any coin of size \\(\\frac{1}{2m}\\) appears twice, then replace it with a single coin of size \\(\\frac{1}{m}\\) . If any coin of size \\(\\frac{1}{2m + 1}\\) appears \\(2m + 1\\) times, group it into a single group and induct downwards. \n\nApply this operation repeatedly until it cannot be done anymore. \n\nNow construct boxes \\(B_{0}\\) , \\(B_{1}\\) , ..., \\(B_{k - 1}\\) . In box \\(B_{0}\\) put any coins of size \\(\\frac{1}{2}\\) (clearly there is at most one). More generally for \\(m \\geq 0\\) , \\(B_{m}\\) , put coins of size \\(\\frac{1}{2m + 1}\\) and \\(\\frac{1}{2m + 2}\\) (there at most \\(2m\\) of the former and at most one of the latter). Note that \n\n\\[\\mathrm{total~weight~in~}B_{m}\\leq 2m\\cdot \\frac{1}{2m + 1} +\\frac{1}{2m + 2} < 1.\\] \n\nFinally, place the remaining \"light\" coins of size at most \\(\\frac{1}{2k + 1}\\) in a pile. \n\nRemark. One way to explain where this boxing comes from is to imagine what happens after applying the operation repeatedly until it can't be done any more. We expect the most troublesome situation would be if the leftover coins are as large as possible, which looks like \n\n\\[\\frac{1}{2},\\quad \\frac{1}{3}\\times 2,\\quad \\frac{1}{4},\\quad \\frac{1}{5}\\times 4,\\quad \\frac{1}{6},\\quad \\frac{1}{7}\\times 6,\\quad \\frac{1}{8},\\quad \\dots\\] \n\nSeeing this the boxing \\(B_{i}\\) is quite reasonable because it groups these into groups of almost 1 without too much effort: \n\n\\[B_{0}\\longrightarrow \\frac{1}{2\\] \\[B_{1}\\longrightarrow \\frac{1}{3}\\cdot 2 + \\frac{1}{4} = \\frac{11}{12\\] \\[B_{2}\\longrightarrow \\frac{1}{5}\\cdot 4 + \\frac{1}{6} = \\frac{29}{30\\] \\[B_{3}\\longrightarrow \\frac{1}{7}\\cdot 6 + \\frac{1}{8} = \\frac{55}{56\\] \\[\\vdots\\] \n\nThen just toss coins from the pile into the boxes arbitrarily, other than the proviso that no box should have its weight exceed 1. We claim this uses up all coins in the pile. Assume not, and that some coin remains in the pile when all the boxes are saturated. Then all the boxes must have at least \\(1 - \\frac{1}{2k + 1}\\) , meaning the total amount in the boxes is strictly greater than \n\n\\[k\\left(1 - \\frac{1}{2k + 1}\\right) > k - \\frac{1}{2}\\]\n\n\n\nwhich is a contradiction. \n\nRemark. This gets a stronger bound \\(k - \\frac{k}{2k + 1}\\) than the requested \\(k - \\frac{1}{2}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2014/5, proposed by Gerhard Woeginger (LUX) \n"}} -{"year": "2014", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "A set of lines in the plane is in general position if no two are parallel and no three pass through the same point. A set of lines in general position cuts the plane into regions, some of which have finite area; we call these its finite regions. Prove that for all sufficiently large \\(n\\) , in any set of \\(n\\) lines in general position it is possible to colour at least \\(\\sqrt{n}\\) lines blue in such a way that none of its finite regions has a completely blue boundary.", "solution": "Suppose we have colored \\(k\\) of the lines blue, and that it is not possible to color any additional lines. That means any of the \\(n - k\\) non- blue lines is the side of some finite region with an otherwise entirely blue perimeter. For each such line \\(\\ell\\) , select one such region, and take the next counterclockwise vertex; this is the intersection of two blue lines \\(v\\) . We'll say \\(\\ell\\) is the eyelid of \\(v\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nYou can prove without too much difficulty that every intersection of two blue lines has at most two eyelids. Since there are \\(\\binom{k}{2}\\) such intersections, we see that \n\n\\[n - k\\leq 2\\binom{k}{2} = k^{2} - k\\] \n\nso \\(n\\leq k^{2}\\) , as required. \n\nRemark. In fact, \\(k = \\sqrt{n}\\) is \"sharp for greedy algorithms\", as illustrated below for \\(k = 3\\) : \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2014/6, proposed by Gerhard Woeginger (AUT) \n"}} +{"year": "2014", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "A set of lines in the plane is in general position if no two are parallel and no three pass through the same point. A set of lines in general position cuts the plane into regions, some of which have finite area; we call these its finite regions. Prove that for all sufficiently large \\(n\\) , in any set of \\(n\\) lines in general position it is possible to colour at least \\(\\sqrt{n}\\) lines blue in such a way that none of its finite regions has a completely blue boundary.", "solution": "Suppose we have colored \\(k\\) of the lines blue, and that it is not possible to color any additional lines. That means any of the \\(n - k\\) non- blue lines is the side of some finite region with an otherwise entirely blue perimeter. For each such line \\(\\ell\\) , select one such region, and take the next counterclockwise vertex; this is the intersection of two blue lines \\(v\\) . We'll say \\(\\ell\\) is the eyelid of \\(v\\) . \n\n![md5:c724c2f83391afd556beceb016467d89](c724c2f83391afd556beceb016467d89.jpeg)\n \n\nYou can prove without too much difficulty that every intersection of two blue lines has at most two eyelids. Since there are \\(\\binom{k}{2}\\) such intersections, we see that \n\n\\[n - k\\leq 2\\binom{k}{2} = k^{2} - k\\] \n\nso \\(n\\leq k^{2}\\) , as required. \n\nRemark. In fact, \\(k = \\sqrt{n}\\) is \"sharp for greedy algorithms\", as illustrated below for \\(k = 3\\) : \n\n![md5:6e4fb5522055627179287f3f85b3f5d8](6e4fb5522055627179287f3f85b3f5d8.jpeg)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2014-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2014/6, proposed by Gerhard Woeginger (AUT) \n"}} diff --git a/IMO/segmented/en-IMO-2015-notes.jsonl b/IMO/segmented/en-IMO-2015-notes.jsonl index 66cbf5ecb88887d84cb82a5041931feb3fe57d9b..33568496ee834b796b08eef9fe6540a2704090f1 100644 --- a/IMO/segmented/en-IMO-2015-notes.jsonl +++ b/IMO/segmented/en-IMO-2015-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2015", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "We say that a finite set \\(S\\) of points in the plane is balanced if, for any two different points \\(A\\) and \\(B\\) in \\(S\\) , there is a point \\(C\\) in \\(S\\) such that \\(AC = BC\\) . We say that \\(S\\) is center-free if for any three different points \\(A\\) , \\(B\\) and \\(C\\) in \\(S\\) , there are no points \\(P\\) in \\(S\\) such that \\(PA = PB = PC\\) . \n\n(a) Show that for all integers \\(n \\geq 3\\) , there exists a balanced set consisting of \\(n\\) points. \n(b) Determine all integers \\(n \\geq 3\\) for which there exists a balanced center-free set consisting of \\(n\\) points.", "solution": "We \n\nFor part (a), take a circle centered at a point \\(O\\) , and add \\(n - 1\\) additional points by adding pairs of points separated by an arc of \\(60^{\\circ}\\) or similar triples. An example for \\(n = 6\\) is shown below. \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADuAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAoopA6sSFYEqcEA9KAForN1PxBpWjukd7eIk8n+rt0Bkmk/3Y1BZvwBqh/bGu6gP+JZoJt4z0n1Sbyc+4jQMx+jbKAOhornxo2u3Zzf+JZIh3i021SFfpmTzG/EEUf8IXo8nN59uvj3+2X80q/98lto/AUAbc11b2wzPPFEP9twv86qHXtGU4OrWAPvcp/jVSHwd4YtzmHw7pKN13CyjyfxxVsaFpCjA0qxA9rdP8KAJodSsLg4gvbaU+iSq38jVqsmbwt4euBifQdLlHo9nG38xVX/AIQjw6n/AB7aaLI9jYyvbY+nlsuKAOgornz4cvbcD+zvEmqQY6R3BS5Q/UyKX/JxSfaPFdh/r7LT9WiH8Vo5tpT9I5Cyn/v4KAOhorDtvFuly3CWt202m3jnC2+oRmFnPorH5X/4CTW5QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFISACScAdSa5ptYv/ETtB4ddYbEErJq7puU+ogU8Of8AbPyDtu5AAH+MNbXTtGubS1nP9rXELC1ghVnlY9CwVQSAP73QdzXh3g+PUb3xdZxWk12sk8oFxJBIVfyif3hLDkcZ59cd8V71b+F9OtdPubWLzg93j7VdM+6ef13ueTkZHsDxjird6kljps0umW0RnjUMsYTG8LjKjHcgED0OK5a1Bzmp3tY48RhnUnGd7coml6HpmjI40+zjhaTmSXlpJD6u5yzH3JNaFQ2tzFe2kN1A4eGZA6MO4IyKmrqOxO4UUUUAFFFFABRRRQAUUUUAQ3Vpb3ts9vd28VxA4w8UqB1Ye4PBrC/4Ru50r5/DmovaKP8AlxuszWx9lBO6P/gJ2j+6a6OigDBtPEypdR2Gt2jaVfSNtj8x98E7ekcvAJ/2WCt/s1vVDd2dtf2klreW8Vxbyja8UqBlYehBrnjaar4Y+fT/AD9U0hfvWTvuuIB/0ycn5wP7jHPo3RaAOnoqppup2er2SXlhOs0DEjI4KkdVYHlWB4IPI71boAKKKKACiiigAooooAKKKKACori4htLaW5uZUhgiUvJI7YVVHJJJ6Cnu6xozuwVFGWZjgAeprl7aNvGN1Hf3KkaBC4ezt2GPtjA8TOP7gPKL3+8f4cAAsFz4yIlvEltvD3WO1YFZL4f3pR1WP0Tq38XHy1vX95DpOnGURZCARxQxgAux4VFHucCrlQ29xb3sCzwOssRYhXHQkEg4/EHmk+yE+yIdMt7m3slF5OZrlyZJWydoY87V9FHQfT1q5RRQlZWBKysV7OzhsYWhgBWMu0gUnIUsSxA9BknirFZ+sxXb6eZbFmF1AwmjQNgS7eqH2YZH1IParNndw39lDdwNuimQOh9j6+9JNJ2Emk+UnoooqigooooAKKKKACiiigAooooAKKKKAMDU9DnivX1jQnSDUiB50LkiG8A/hkA6NjgOBkd8jirujazb6zbu0aSQXELeXc2swxJA/wDdYfqCOCMEEitKsPW9HnkuE1fSGSLV4F2jecJdR9TFJ7ejdVPPQkEA3KKz9H1i21mxW5iDROGMUsEvEkMg+8jD1H6jBGQQa0KACiiigAooooAKKKxvEep3FlaQ2mn7Tql/J5FoGGQpxlpGH91FBY+uAOpFAFDUQfFOrSaOjH+yLNh/aLqf+PiTgi3B/u4wX9iF7tjpwAoAAAA4AFU9J0u30bTIbG23FIwcu5y0jE5Z2PdmJJJ9Sakv72LTrGW6mzsjH3VGWYngKB3JJAA9TQ3bUTdldkOrwXd3aLaWr+WJ3CTTBsNHHzuK/wC0eg9M57VbghitoI4IUWOKNQiIowFAGABSWrTvaxPcxrFOyAyIrbgrdxnvUtJLW4klfmCiiimUFRhoYWSEGOMvkogwM9zgfjUlZut2ctzZLNagG9tXE9vzjLDqv0YEqf8AepN2V0KTsro0qKZDJ50Ecux03qG2uMMuR0I7Gn0xhRRRQAUUUUAFFFFABRRRQAUUUUAFFFZ+oadJqUqRS3LJYBf3kEY2tKfRmznb7DGe5xxSd+hcIxbtJ2R4N8Q5ZZvGt/cZRoZGHlSRfdcKoXIPcgjB9xjtXtHgaa9uPBOlS6gzPcPFncxyWTcdh/7521P4htIl0NfKt0xaSwyxqqD5AkisQB24GPpVTTB/wjuvNop+XTr4vPp3pG/3pIPp1dR6bx0UVzUaDhVlJu9z28wzSOJwNKhGmlyu1/RL876+aOlooorqPBCiiigArm9BH9satd+IpOYTutNPHYQq3zyD/ro4z7qiVP4sup49IWws5DHe6nKtlA69U3ZLuPdYw7/8BrXtLWCxs4LS2jEcEEaxRoOiqowB+QoAmqrc2EV3c2s0xY/ZnMiJn5S2MBiO5HOPrn0xU1m5mbytMsnKXl3keYvWGMffk+oyAP8AaI96044xFEkaliFUKCxJPHqT1qbpuxN1J2HUUUVRQUUUUAFFFFAFeS9iiv4bN9wkmRnjOPlbbjIz685x6Z9KsVQ1axkvbVDbsqXcEgmt3boHHY+xBKn2Y1fpK9yVe7uFFFFMoKKKKACiiigAooooAKiupJYbaSSCAzygfLEGC7j9TwKzrq+vLu5ex0uPYyHbNeSp8kXso/jb9B3PY6iKVRVZy5AALHGT78cVKd9jVwcLOX3f5+v3mdYadci4+3ajceddlSqxxkiKEHqFHc+rHk+w4rTooppJE1Kjm7sQkKCSQAOST2rK13Tv7c0QraTIlypW4srgchJV+ZG46jsfVSR3rVIDAgjIPBFZnhtXTw3p8UgIeGBYW3DnKfL/AEovrYagnTcuzX43/wAiTRNUXWdHt74RmJ3BWWEnJikUlXQ+6sCPwrQrnLMf2R4yu7L7trq0ZvIR2E6YWUfipjbHqHNdHTMwooooA51P+Jl47kc8w6RahF9PPm5b8VjRfwlNbt1dQ2VtJc3EgjhjXczHsKw/Bx+0aTcaofvaneTXQPqm7ZEf+/SR1fu7Ga+1S387b9gtwJgmeZZs/Lkei4z7kj+7SbdtCZNpaGjgZzjn1paKKZQUUUUAFFFFABRRRQAVQe/eHW47KZFEU8RaCQd3U/Mp/Agj6N6Vfqte2MV8kIkLK0MqzRuhwVZT/UZB9iaTv0Jle2hZoooplBRRRQAUUVUudStrW7gtGZnuZz8kUa7mx3Yjso7k8fjSbS3KjGUnaKuS3V3b2Ns9xdSpFCgyzscAVBp93cXqPNJaNbQEjyRKcSMP7zL/AA+w6+uOlWJraC4eJ5oUkaFt8ZZc7GxjI9+TUtGtyrwULW1/rYKKKKZmFFFFABTEljlLiN1Yo21tpztPoffkU+srS0aLV9ajKkK9wkynHBBiRTj8UP50m7NGkIKUZPsr/il+pT8Yg2+kRawgPmaROt7x18sZWUf9+mk/HFdACGAIIIPIIpk8MdzbyQTKHikUo6noQRgisbwdNJL4Vsop2LT2geylY9WeFzESfqUz+NMzN2szxHftpfhjVb9M77a0llXHXcqEjH41p1wXxH8WaZp+nyaJKZJLq48syJGuQse8Fsk9yoYAfyqZzjBXk7ETqRguaTsjooCNA0rR9FtY1luBFHbxpnACIoDufYAfiSB3rbrI0S403WV/t6xlab7TGsYLnmML1THbkkn1PtiteiLvqOLv73QKKKKooKKKKACiiigAooooAKKKKAMoXE1p4hNvPIWtr1N1uT/BIg+ZPxXDD6PWrTJIYpShkjVzG29Cwztbpkeh5P505WVhlSCASOD3FJKxKVhaKKztQsLjUZlhe5MWn7f3kcWVklP90t2XGOnJ9QOo3bY1hFSdpOyLsc0VxGXhlR0yV3IwIyDg/iCCKrafpdvpyyGPfJPKd01xKd0kp9WP8gMAdgKtQwxW0KQwRpHEg2oiDAUegFPot1Yc7V4xejCiiimQFFFFABRRRQAUzzY/OEW9fMK7gmecdM49KfWVdKyeJ9OmCko1tPExA4BJjYZ/75b86TdjSnBTbT7N/crmrXPeHv8AR9a8SWX8K3y3EY/2ZIkJ/wDHxJXQ1z9t+6+IOpr0E+mWr/isk4J/Jl/KmZnQV5N8S/BFze61FrFnNFi8lhtnjkJBEjEIp+nTP9a9Zrn/ABf8ul2MnZNVsT+dzGv/ALNWdWlGrHlkZVqMK0eWZV8JeDIfDul20U1xcSXaEySGO5kWLce2wMFI+o5rpLq3+1W7Q+bLFux88TbWHPY1NRVRhGMeVbFQpxhHlitDNt9Klt7hJP7W1CRVPMUjIyt9fkz+Rq5dRTTW7JBcNbyHGJFUMR+B4qaimopKw1FJWM22s9TiuEabVVnhH3kNsqk/iDx+VW7tbpoCLOSGObIw00Zdcd+AQf1qeihKysCikrGdbDWluE+1vYPBzuMSOrdO2SRVq7e7SDdZQQzTZ+5NMY1x9Qrfyqeii1lYFGytczrW51Z7hUu9Nt4YjnMkd2ZMfgUFWbyea3g3wWkt0+ceXGyKcevzED9asUUWdtwSdrXM+01G5uLgRTaPfWoIP7yVoSo/74kJ/SrF5eLZQiVoZ5QW27YIjI31wO1WKKLO24WaW5n2msW95OIUgvo3IJ/fWUsa/wDfTKF/WvFNd+LWp6L4u1a30WG1SyhvGWVLlGbewwrMMEFclenqc9697ryTxT4C8Oa74mkvbKDUZ5JLlYtSWyZfLDHk/M3AfIGQDxnnBNelljw0ZSeJje1rO2i11vfTa9r9bDjTcpJN/wBW2+Z3Xha5k1zTbXxDPNJm8hDRW4O2OFD2x/E3HLH8AOldDXN6db2t3bBNDurjTX0/Fo9oy7kiKjIV4zkdCDuUjIIO41uWZvPIxfCDzgcZgJ2sPXB6H2yfrXBUioVJRSaV9L9uhvN88VO69Nrf1/w5YopiSxyFwkisUO1gpztPofSn1Ji1YKKKKACiiigAooooAKZJLHCFMkipuYKu44yT0A96fWX4gRm0xXRSzQ3MEoAGThZUJ/QGlJ2VzSlBTmovqzUrn24+Icf+1pT/AKSr/wDFV0Fc/wDe+If/AFz0rn/gUv8A9hTMzoK5/wAbnZ4Pv7j/AJ9Ql0T6CJ1kz/45XQVU1SyXU9JvbB8bLmB4Wz6MpH9aALdFZXhi+fU/C2lXsnEstrG0oPUPtG4fg2RWrQAUUUUAFFFFABRRRQAUUUUAFFFFAHP+OdVuNE8EavqNpkXENufLYfwsflDfhnP4VZ0SytfDvhezti6pDbQAySsfvNjLOT6kkk/WtC8s7fULKezu4llt50MckbdGUjBFYGqeHbmTwtdaUmqXckAtXjjXavmMNpAVnxkjoOACe5NdSqQeH9nezvd+emn3a/eOEb1EnsUfBjtqPibxbrcX/HjdXcVvbt2k8hNjuPUE8Z9q7Sqmlww2+lWkNvbrbwrCoWFV2hBjpjtVuoxNZVqnPFWVkl6JJL8ELlcdGZ95otleTfaCjQXWMC5t2Mcn4kdR7HI9qt28bw26RyzvO6jBkcAFvc4AH5CpaK50kndFyqTlFRbukULbWbG6uWtVm8u6XOYJlMchx3Ctgke4yKv1XvLC01CHyby3injzkLIoOD6j0PvUrBkgIhVWdVwiuxAJxwCeT+PNCv1HP2btyXXr/n/wPmPorJi1zy5Ug1OzmsZXYKrMN8Lk9AJF4H/Atp9q1qFJPYJ05U/iX9eoUUUUzMKR3WNGd2CqoySTwBS010WSNkYZVgQR7UDW+oI6yRq6MGRgCrA5BB71g2P77x5rUv8ADDY2luPZt0zn9HSrvhzzB4b01JlZZUtkjcMMHKgA/wAqo+F/38+u6j1F1qciof8AZhVYMf8AfUTfnSi7q5VWHJNx7M6GiiimQc94X/0SXWNIPH2O/keMesc374EewZ3X/gFdDXO3x/szxpp970g1OE2Ex/6aJukhJ/Dzh9WUV0VABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEcE8VzEJYXV0JI3L0yDg/qDUlZehRSQWt1BIjKEvZym4YyrSFwR7fN+lalKLurmlWChNxWwUUUUzMKKKKACobqKaa2dILg28pxtkChsc+h6jt/hU1FA07O5nWs+qx3CwX1rFKhzi6tmwv/AkY5X8C34Vo0VWvbGG/iWOVpVKtuR4pGjZT6ggj/ClZpFuUZyTat6f5XLNFUbG2v7WVkuL5bu32/I0kQWUH3K4Vh+AP1qeW9tYLiO3luYo5pQTHG7gM4HXA70X01E4e9aLv6XK+patbado9/qLOrx2UUkkgU5OUGSv19qh8NafJpfhrT7Ofm4SFTOfWVvmc/ixY1xk+u6XrGuy+HbW9iljvNXjmkZT8piSJHZQ3Q7pI9uB1DGvSKmE1JXRricPOhNRmmrpPVW3QUUUVZzmX4h0t9X0O4tYXEd0NsttIf8AlnMhDxt9AyjPtmpdF1RNZ0a2v0QxmVP3kR6xSA4dD7qwKn3FX65uE/2B4se3PGn6yxliPaO6A+df+BqNw90fu1AHSUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBGk8TzyQq4MkYBdR1XPT+RqSsuKKSPxTdSbG8qeziG/HG5HkyM+uHH5VqUk7mlSKi1bsvy/zCiiimZhRRRQAUUUUAFFFFABWH4nNpdaZNpUqefdXcTJBCiB3BIxvweAATnccAeua1re7t7sSG3mSUROY3KHIDDqPqM1zuuRLZR/2ZpRZNW1qRkNwWLSRxjmSXJ7Ipwo6bmUd6mS5lZG9KSpT55XutvX+v66nkfhrwRrmoazayxW5S0iufmu8/u8I5BKn+LlTjHXjtzX0JUFnZwafYwWdrGIreCNYokXoqqMAfkKnrKjQjRTUep25nm1bMZRlVSXKugUUUVueWFUNa0qLWtLlspXaMth4pk+9DIpyjr7qwB/Cr9FAGR4f1WXUbSSC9RYtUs38m8iXoHxkOv8AsMMMvscdQa16wNd0+6huote0mPfqFsmya3Bx9sgzkx/7w5KE9DkdGNaum6ja6tp8N9ZyeZBKMqcYIPQgg8ggggg8ggigC1RRRQAUUUUAFFFFABRRRQAUUUUARvPFHNFE7hZJSQinq2Bk4/CpKy9Wika90ieONn8m8y+0ZwrRSLk+2WFalJPVmk4pRi11/wA2FFFFMzCiiigAoopkrOkLvHGZHVSVQEAsfTJ4oBK4+qOo2EuoeXEbt4bXnzo4vleX0G/OVHXOOT6jvBZ6dcy3SX+qSh7hc+VBET5UGRjj+82ONx/ACtWp+Jamzfsppwd2v60/z77dyrI9lo2mPI5itbG1jLMQNqRoBk/hWT4dtbi6nn8QahC0V3eqFggcfNbWw5RCOzHO5vcgfwiqwP8Awl+qKRhvD9jLnPa9uFPb1jQj/gTj0Xnqaoybbd2FFFFAgooooAKKKKACua1C0utB1CbWtKgee2mO7ULCMZZz/wA9oh/z0A6r/GB/eAz0tFAFexvrXUrKG8s50nt5l3JIhyCP89qsVzl5pN5pN7Lqvh9Ffzm33mmlgqXB7uh6JL79G74PzDU0nWLPWrVprR23I2yaGRSkkL91dTyp/wD1jIoAv0UUUAFFFFABRRRQAUUUUARz3EVrA007hI1+8x6CpKztftnu/D2pW8QJkktpFQAZO7acY/HFXoXMkEbspUsoJUjBGR0pX1saOK9mpdbv9P8Agj6KKKZmFFRXFxDaW73FxKkUMY3O7nAUe5qrp19cag0kxtGgsyB5LS5EknqxX+EemefYUrq9i1Tk4ufREV7fXkly1hpkOZwB5lzMp8qEH/0Nv9kfiR30II3it445JmmdVAaRwAWPqcAD8qkpk00VtA888qRRRqWeR2CqoHUknoKEtbjlNOKilb8/68v+HH1y93czeKrqXS9OlePSYmKX19GcGUjgwRMPydx0+6PmyVaZ7zxj8lq09loB+/cjMc16PSPukZ/v8M38OB8x6W2tYLK1itrWGOGCJQkccahVVR0AA6UzMW3t4bS2it7eJIoYlCRxoMKqgYAA7CpKKKACiiigAooooAKKKKACiiigArH1Xw/HfXK6hZ3D2Gqou1LuFQdy/wByRekiex6diDzWxRQBzsHiSTT5ktPEtulhMx2x3aEm1nPbDn7jH+6+PQFutdFTJoYriF4Zo0kicFXR1BVgeoIPUVz3/COXek/N4b1D7LEP+YfdAy230TndF/wE7R/dNAHSUVzn/CVHT/l8Q6bcaWR1uVzPan381R8o/wB8JW7a3dtfW6XFpcRXED8rJC4dW+hHFAE1FFFABRRRQAVHBcRXUKzQOHjbOGHfBxUlZegwyW9hNBJGybLu42bhjKGVmUj2wRSvrY0UU6bl1TX6/wDANSqd7qdvYyQxOWeeY4igjG539Tj0HcngVYinhn3+TKknluUfYwO1h1B9D7VXs9Nt7KWaddz3ExzJPKdzsOwz2UdgOBQ79AgoK/tPu/r+vzLE1vDcBBNEkgRg6h1B2sOhHvUlYNx4v0tZ3trAy6reKcGDTk84qfRn+4n/AAJhUP2TxHrX/H7cpo1mf+XeyfzLhh6NKRhPogJ9GpkXdrF3VPEVpptwtlGkt7qTjMdjagNIR6t2Rf8AaYge9UotCu9YmS78SvHIiMHh0uEk28RHQuSB5rD1ICjsuRmtbS9H0/RrdoNPtkhVm3OwyXkb+87HJZvckmr1AgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsS68JaLcTvcxWpsrpzlriwka3kY+rFCN3/As1t0UAc9/ZHiGz/48fEf2hR0j1O0WX8A0ZjP4nP40fbfFdvxLoum3S/3ra/ZGP8AwB48D/vquhooA5//AISHU0/13hHWB/tRy2rj/wBHZ/Sj/hJ5u/hrXAfTyY//AI5XQUUAchrXirU4dDvprPw3q8UqQOyzzLAEjwPvEeYScdcAGvJdA8ReJb3XoLWHUby5a8lEbwyXLqrgnnJAJQY/iUZAzivokgEYIyDWdZ6DpGn3b3VnptrBcPndJHEA3PXntXNWoSqTTUrJHt5bmdDCYepTnS5pS2en9abmVbaX4kFslsl/pelWyDCxWNo0jKPZ3YL/AOOVL/wh1hcc6tc32sHut9PuiP1iULH/AOO10NFdJ4rbbuyO3t4LSBILaGOGFBhY41Cqo9gOlSUUUCCiiigAooooAKKKKACiiigD/9k=)\n \n\nFor part (b), the answer is odd \\(n\\) , achieved by taking a regular \\(n\\) - gon. To show even \\(n\\) fail, note that some point is on the perpendicular bisector of \n\n\\[\\left\\lceil \\frac{1}{n} {\\binom{n}{2}}\\right\\rceil = \\frac{n}{2}\\] \n\npairs of points, which is enough. (This is a standard double- counting argument.) \n\nRemark. As an aside, there is a funny joke about this problem. There are two types of people in the world: \n\n- Those who solve (b) quickly and then take forever to solve (a), \n\n- those who solve (a) quickly and then can't solve (b) at all. \n\n(Empirically true when the Taiwan IMO 2014 team was working on it.)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2015/1, proposed by Merlijn Staps (NLD) \n"}} +{"year": "2015", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "We say that a finite set \\(S\\) of points in the plane is balanced if, for any two different points \\(A\\) and \\(B\\) in \\(S\\) , there is a point \\(C\\) in \\(S\\) such that \\(AC = BC\\) . We say that \\(S\\) is center-free if for any three different points \\(A\\) , \\(B\\) and \\(C\\) in \\(S\\) , there are no points \\(P\\) in \\(S\\) such that \\(PA = PB = PC\\) . \n\n(a) Show that for all integers \\(n \\geq 3\\) , there exists a balanced set consisting of \\(n\\) points. \n(b) Determine all integers \\(n \\geq 3\\) for which there exists a balanced center-free set consisting of \\(n\\) points.", "solution": "We \n\nFor part (a), take a circle centered at a point \\(O\\) , and add \\(n - 1\\) additional points by adding pairs of points separated by an arc of \\(60^{\\circ}\\) or similar triples. An example for \\(n = 6\\) is shown below. \n\n![md5:8fd3c9da3744bf2f62099b54e16eefeb](8fd3c9da3744bf2f62099b54e16eefeb.jpeg)\n \n\nFor part (b), the answer is odd \\(n\\) , achieved by taking a regular \\(n\\) - gon. To show even \\(n\\) fail, note that some point is on the perpendicular bisector of \n\n\\[\\left\\lceil \\frac{1}{n} {\\binom{n}{2}}\\right\\rceil = \\frac{n}{2}\\] \n\npairs of points, which is enough. (This is a standard double- counting argument.) \n\nRemark. As an aside, there is a funny joke about this problem. There are two types of people in the world: \n\n- Those who solve (b) quickly and then take forever to solve (a), \n\n- those who solve (a) quickly and then can't solve (b) at all. \n\n(Empirically true when the Taiwan IMO 2014 team was working on it.)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2015/1, proposed by Merlijn Staps (NLD) \n"}} {"year": "2015", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Find all positive integers \\(a\\) , \\(b\\) , \\(c\\) such that each of \\(ab - c\\) , \\(bc - a\\) , \\(ca - b\\) is a power of 2 (possibly including \\(2^0 = 1\\) ).", "solution": "Fi \n\nHere is the solution of Telv Cohl, which is the shortest solution I am aware of. We will prove the only solutions are \\((2,2,2)\\) , \\((2,2,3)\\) , \\((2,6,11)\\) and \\((3,5,7)\\) and permutations. \n\nWLOG assume \\(a \\geq b \\geq c > 1\\) , so \\(ab - c \\geq ca - b \\geq bc - a\\) . We consider the following cases: \n\n- If \\(a\\) is even, then \n\n\\[ca - b = \\gcd (ab - c,ca - b)\\leq \\gcd (ab - c,a(ca - b) + ab - c)\\] \\[\\qquad = \\gcd \\left(ab - c,c(a^{2} - 1)\\right).\\] \n\nAs \\(a^{2} - 1\\) is odd, we conclude \\(ca - b \\leq c\\) . This implies \\(a = b = c = 2\\) . \n\n- If \\(a\\) , \\(b\\) , \\(c\\) are all odd, then \\(a > b > c > 1\\) follows. Then as before \n\n\\[ca - b\\leq \\gcd (ab - c,c(a^{2} - 1))\\leq 2^{a_{2}(a^{2} - 1)}\\leq 2a + 2\\leq 3a - b\\] \n\nso \\(c = 3\\) and \\(a = b + 2\\) . As \\(3a - b = ca - b \\geq 2(bc - a) = 6b - 2a\\) we then conclude \\(a = 7\\) and \\(b = 5\\) . \n\n- If \\(a\\) is odd and \\(b\\) , \\(c\\) are even, then \\(bc - a = 1\\) and hence \\(bc^{2} - b - c = ca - b\\) . Then from the miraculous identity \n\n\\[c^{3} - b - c = (1 - c^{2})(ab - c) + a(\\underbrace{bc^{2} - b - c}_{= ca - b}) + (ca - b)\\] \n\nso we conclude \\(\\gcd (ab - c,ca - b) = \\gcd (ab - c,c^{3} - b - c)\\) , in other words \n\n\\[bc^{2} - b - c = ca - b = \\gcd (ab - c,ca - b) = \\gcd (ab - c,c^{3} - b - c).\\] \n\nWe thus consider two more cases: \n\n- If \\(c^{3} - b - c \\neq 0\\) then the above implies \\(|c^{3} - b - c| \\geq bc^{2} - b - c\\) . As \\(b \\geq c > 1\\) , we must actually have \\(b = c\\) , thus \\(a = c^{2} - 1\\) . Finally \\(ab - c = c(c^{2} - 2)\\) is a power of 2, hence \\(b = c = 2\\) , so \\(a = 3\\) . \n\n- In the second case, assume \\(c^{3} - b - c = 0\\) , hence \\(c^{3} - c\\) . From \\(bc - a = 1\\) we obtain \\(a = c^{4} - c^{2} - 1\\) , hence \n\n\\[ca - b = c^{5} - 2c^{3} = c^{3}(c^{2} - 2)\\] \n\nis a power of 2, hence again \\(c = 2\\) . Thus \\(a = 11\\) and \\(b = 6\\) . \n\nThis finishes all cases, so the proof is done.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2015/2, proposed by Dušan Djukić (SRB) \n"}} -{"year": "2015", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(ABC\\) be an acute triangle with \\(AB > AC\\) . Let \\(\\Gamma\\) be its circumcircle, \\(H\\) its orthocenter, and \\(F\\) the foot of the altitude from \\(A\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) . Let \\(Q\\) be the point on \\(\\Gamma\\) such that \\(\\angle HQA = 90^\\circ\\) and let \\(K\\) be the point on \\(\\Gamma\\) such that \\(\\angle HKQ = 90^\\circ\\) . Assume that the points \\(A\\) , \\(B\\) , \\(C\\) , \\(K\\) and \\(Q\\) are all different and lie on \\(\\Gamma\\) in this order. Prove that the circumcircles of triangles \\(KQH\\) and \\(FKM\\) are tangent to each other.", "solution": "Letr. \n\nLet \\(L\\) be on the nine- point circle with \\(\\angle HML = 90^{\\circ}\\) . The negative inversion at \\(H\\) swapping \\(\\Gamma\\) and nine- point circle maps \n\n\\[A\\longleftrightarrow F,\\quad Q\\longleftrightarrow M,\\quad K\\longleftrightarrow L.\\] \n\nIn the inverted statement, we want line \\(ML\\) to be tangent to \\((AQL)\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAI4Aj4DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKiS5gkupbZJo2niVXkjDAsgbO0kdgdrY+hqLUb6LTbGS6l5C4CrkAuxOFUZ7kkD8a4bwwhsvivr0Elws819pdrdyurZUuryIQPRRnAHoBQB6HRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRSEgAknAHc0ALRVJ9VswxVJfOcfwwKZD+O3OPxpPtl3J/qbBh/tTyBB+m4/pWLr011v6a/kaeyn1VvXT8y9RVDZqUn3ri3hHpHEWP5k4/Sj7Az/AOtvruT6OE/9BAqXiO0X+A/ZxW8i/UUl1bxf6yeJP95wKqf2VZH/AFkHm/8AXZjJ/wChE1LHY2kX+rtYE/3YwKn21Tsvv/4AWp9393/BGnV9NBx9vtifRZQT+lH9r2PafP8Auqx/kKtAYGBRS9pV7r7v+CH7vs/v/wCAVf7Ws/70v/fh/wDCj+1rPu8g+sLj+lWqKPaVe6+5/wCYfu+z+/8A4BV/tew73KL/AL2R/OnJqunyHCX9sx9BKuf51YprIjjDqrD0IzR7Sr3X3f8ABD932f3/APAHJLHIMo6sP9k5p9Un0ywkOXsrcn18oZpv9l2w/wBWZov+uc7qPyBxT9tU/lX3/wDADlp9393/AASlLZalf+IFOoWmnto8CMYV89nkaQ8BmQoF4XIA3HGT14xlx+G9RtfiQuvWlppkOnf2ebF0SZlkbMgfftEeMjBGM9+teSfGax1e+8ZWraZq07QWMcaNumK/Z5mLtkY6naAc9a9ltdZ1K0jii1JLZm2gC4JKRy++4bgCcZwcVsqqavb9SasPZW9pons3otk99lo1v3OmoqgNSZVBms7hFPO9FEin/vkk/pU8F/aXLbYriNn/ALmcMPw60o1qcnZPUbpTSvbQsUUUVqZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFQ3F3BaqDNIFLfdXqzfQDk/hVb7Re3P8AqIRbxn/lpPy34IP6n8KynWjF269i405NX2ReZlRSzEKo5JJwBVI6pFIcWkcl0fWIfJ/30cD8iaRdNhZg9yz3TjnMxyB9F+6Pyq50GBWLq1Jbafi/8vzKtCPn+C/z/Ip7dRn+9LFar6Rje3/fR4/Q0DTLZjmcPct6zsXH5dB+Aq5RUOCfxa+v9WH7WS+HT0/q4iqqKFUBVHQAYxS0UVRmFFFFABRRRQAUUUUAFFFFABRRRQAVk+JNbj0DRJ75l3y/cgi7ySHhVH4/oDWtXExOvijxfLfuc6PoRKxf3ZbjHzN7hR098HvUyb2W7OvCUoSk6tX4IK7/AEXzen3voc5deHWih0m0v5DJdX9+ftkmc5kdDux9N2P+A11/g26a88OCyvAGuLF2s51bnJTgfXjFVPECst/4X3jDtf72+pBJ/nUkX/En+IUkf3bbWYN6+nnR9R+K81TShU02Wn4F+1ni8EvafFJSn8+Z3Xoov/yVGydOltCX0yfyDyTA/wA0THnt1Xk9vSh7+2kIg1e0SFs4VpQGjbr0bt0zzitGmuiSIUkVWRhgqwyDW8rTVpq54cFKk70nby6f8D5WIxYeWM2l1PD6Lu3p+TZwPpil8/UIP9bBHcr/AHoDtb/vljj/AMeqn/Z81mS+mT+UOvkS5aInn8V5PapY9YjSQRX8TWcpOAXOY269H6dB3x1rL2LjrTf9em33HTHGp6Vlb12+/T8bFyHUbaaQR7zHKf8AllKCjfkev4VaqCaCK4j2TRpIh/hdQRVb7FNb82d06D/nlL+8T9eR+Bx7UKtOPxK/p/l/wTo5YS2dvX+v0NCiqH9otAcX0DQj/nqp3x/n1H4gVdR1kQOjBlIyGU5BreFSM/hZMoSjuOoooqyAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoprusaF3YKqjJZjgAVRN3cXnFkvlxf8APxIvX/dXv9Tx9aznVjDfcuMHLXoWrm7gtEDTSBcnCrjLMfQAck/Squ+9u/uj7HCe7ANIfw6L+OfoKlt7KK3YyfNJM3DSyHLH8ew9hgVYrnlKc99F5f5/5F3jH4dX3f8Al/mV7eygtmLopMjfekc7nb6k81YoopKKirIiUnJ3YUUUUxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTZJEhieWRwkaKWZmOAAOpNAJXOd8Y6vcWWnxadpxzqupP8AZ7YA8rn7z/RR3+lWrPSbfRNAtNItvuDEZbHLn7zsfrg/nWR4WjfX9ZuvFlyhET5t9NRh9yEHl8erHP69q6WQ+ZqIHaGP9WP+A/WnQXNP2n9f02b5s/Y0Fgo7t+96vdf9uxuvW5znir/kMeGv+wgP/QTT/G1tIdFTU7Zc3WmTLdp7hT8w+mMn8KZ4q/5DHhr/ALCA/wDQTXSyxpNE8UihkdSrKe4PUUW5nJB7b2McPU7X+a5ndfNDLW5jvLSG6hbdFMiyIfUEZFTVy/gqR7azvdDmYmbS7hogT1MTfMh/LP5V1FXF3VzjxVH2NaUFstvNbp/NBTZI0lQpIiujcFWGQadRVGBnCwuLL5tMuPLX/n3my0Z+ndeueKmi1mMSCG+iazmPTzDlG+j9D+nWrdNkjjmjMcqK6HqrDINNtS+IiMZU/wCG7eXT/gfL7izVNtPRXMlpI1rITk+X9xj7r0P14PvVNbC4sedNuNsY/wCXeclo/wAD1XvU0GsRGRYb2NrOc9FlPyt/ut0PUVnOjfVa/mdFPF8rtL3X+D/T7/uJft8tscX8QRf+e8eTH+Pdfx496vqyuoZWDKRkEHINNqk1iYWMljJ5DE5MeMxt9V7H3GPxqY1Jw31X4/8AB/rc6/cl5P8AD/gGhRVOG/BkEFzGbec8AMcq/wDut3+nB9quV0QnGavFmcouLswoooqyQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqrc3yQOIURprhhkRJ1x6k9h7moWupb0mOxbbEDhrkjI+iDuffp9antrWK1QrEpyTlmY5Zj6k9zXNKs5aU/v/wAv6t6m3Ioaz37f5/1f0IEs3ncS3ziVgcrEv+rT8O59z+GKu0UVmopEyk5bhRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5DxdcS6vfWnhOycq94PNvZF6xW4PP4seP/ANddHqupW+j6Xc6hdNthgQu3qfQD3JwPxrD8GabcJbXGuakuNT1RhNID/wAso/4EH0H+eKier5TvwaVGLxUvs6R85f8A2u/rZdTpLe3itbaK3gQRwxIERB0UAYAqranesk//AD1csPp0H6AVPeyGO0kKn5yNq/7x4H6mmxoI41jX7qgAfQV0wVoX7niV5OdZJ9Ff5vRfk/vOZ8Vf8hjw1/2EB/6Ca6iuX8Vf8hjw1/2EB/6Ca6ioj8TO3EfwKPo//SmcrqH/ABJ/Hen344t9TjNnN6eYOUP1PSuqrC8X6c+peG7lYci5gxcQEdQ6cjHueR+NX9G1FNX0a0v48YniDEDse4/A5FKOkmvmOv8AvMPCr1Xuv5ar8NPkXqKKK0OEKKKKACmSxRzRmOVFdD1VhkU+igGk9GZy2VzYYOnT/uh/y7TksmOPunqvf1HNT2+sRNIsF3G1pcHokvRun3W6HrirVMmhiuIzHNGsiHqrDIptqXxERUqf8N/J7f8AA/LyJ5YY54mjlRXRuqsMiqmLqw5TfdWw/gJzIg9j/EPY8+56VVWzu7DH9nz7oR/y7TklQOPut1HA6cjmp7bV4ZJRBco1pcn/AJZy8Bun3W6NycVnKi780H/Xn/VjppYtL3Jq3k9vk/8Ahn5F+C4iuYhJC4dDxkdj6H0PtUtUZ7MmU3Fs/k3Hc4yr+zDv9eop9teiWQwTJ5NyBkxk5DD1U9x/k4qqda75Z6P8H/Xb8zplBNc0P+G/ruW6KKK3MgoorFh15tSvLmDR7VbqO1kMU9zJL5cQkHVFIVizDvgYHTOQRQBtUVkaTrq6hqGoaZPB9m1GwKedDv3qUcZR0bAypwRyAQQRj116ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqK4uYrWEyytgZwABksewA7mk2krsaTbsh0sscETSyuERRksTwKobJdT5nVorPtCeGl929B/s/n6U6O3kupVubwY2nMUGciP3Pq36Dt61drknJ1fKP5+v+X39jW6p7b9+3p/n93cQAKoVQAAMADtS0UUGYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVi+KNc/sHRZLiNfMu5SIbWIcmSVuFGO/r+FJtJXZpSpSq1FThu9DF1T/AIqvxdFoy/Npellbi+PaSX+CP8Op/H0rtKxfC2h/2DoqW8reZeSsZrqU8mSVuWOf0/CtqlBPd7s6MZVjKSpU/ghovPu/m/wsuhUujvureLsCZG/Dgfqf0qSoIz5l3cS9gRGv0HX9Sfyqeul6JI8OD5nKfd/lp+l/mcv4q/5DHhr/ALCA/wDQTXUVy/ir/kMeGv8AsID/ANBNdRWcfiZ6OI/gUfR/+lMK5Xwp/wASvVdY8PtwlvN9pth/0yk5wPoePxrqq5TxJ/xKvEWja6OIy/2K6P8AsP8AdJ9g3NKelpdh4P8AeKdD+Zaeq1X36r5nV0UUVocIUUUUAFFFFABRRRQAVHPbw3MRinjWRD2YZqSijYGk1ZmctreWHNhP5sI/5dpyTgeit1HAwAcinfbbPUCtrdo9rdA5VJPlYN6o3Q8+nX0q/UVxbQ3URiniWRD2YU5KM1aaJh7Sk70n8uny6r8vIIruW2lW3vSDuOI7gDCv7H0b9D29Kv1gyWV3bRNHbOLq2IwbW5OePRW7dgAcimWetx2k62l2ZIlPC+f95PYnoy9cN+frUxcqe7vHv29f8/v7nVGvCq7Ncsu3R+j/AE38uhP4vvLrT/Bet3ljn7VBYzSRFeoYISCPp1qr4Mj0/SfCOhaXBcQhzYxyKm8bpCV3M4HU5O45+tblveWl8sgtriC4VGKSeW4fae4OOh9q5HxF4Qa28PyR+HbRpmSaKQabJdFIZUVhujBP3VKbgF+6OmK3KG+E0k1fxv4k8Tpn+z5RFp9k3aZYs75B6rvYgHvg13FZugxX0OkQrqMVvBcEZ+zW3+qt16LGpwMgADnuc4wMAaVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUVxcR2sDSynCjsBkk9gB3JpNpK7Gk27IS5uY7SHzJCeuFVRksewA7mq1vbySTC7u8Gb+CMHKxD0HqfU/0ot4JJJvtl0P32MRx5yIl9Pqe5/CrlccpOo7vbov1f9fjtq2oLljv1f6L+vw3KKKKZmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXF6Z/wAVX4vl1hvm0vSmaCyHaSb+OT6DoPwParvjPU7iO1t9E01v+JnqjGGMj/llH/G5+g/zxW3pWmW+j6VbafariGBAo9T6k+5OT+NQ/elboj0Kf+zYd1ftTul5R6v5/Cv+3i5TJZFhheVvuopY/hT6qX53Rxw/89ZAD9Byf5Y/GtoLmkkeVXm4U3Jb9PXp+I21Ro7ZFf75G5v948n9TU1FFaN3dzmhFQiorocv4q/5DHhr/sID/wBBNdRXL+Kv+Qx4a/7CA/8AQTXUVnH4md+I/gUfR/8ApTCs3X9LXWdBvLA43SxkIT2ccqfzArSoqmrqzOWnUlTmpx3TuY3hbVG1fw5Z3MmfPC+XMD1Drw2fyz+NbNcpo/8AxKPGmq6UeIL0C/tx23HiQfnz9BXV1MHdanRjacY1m4fDLVej1t8tvkFFFFWcgUUUUAFFFFABRRRQAUUUUAFZHiiO0l8NahHeSCKNreRRLjLRkqRuX3HWtZmVELMQFAySe1c7cRtrfiC1s3U/Z7cLdzoeyg/ulPuzKWPsgH8VUtPeZLTqS9nHd/gur/y7v5nnvwo8G6j8O/Ed02szqFv7JXjSInaAHGS4I4ZcqDjIG/qRkj28HIyOlYniO1lksY761jMl5YP9oiQdZFwQ8f8AwJCwHvg9qfZXcVvBBNDJ5ml3Kq8Mg6RBhkD/AHTnj06dOmKrOMve2/L/AIH5em3qezjKCcd/z/r8fz2KKKK6jnCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGSypDE0sjBUQZZj0AqjBG93Ot5cKVUf6iI/wAA/vH/AGj+g49aQH+05w/Wzib5R2lcd/8AdB6ep57Cr9cc5+1f91fj/XT7+xt/DVuv5eX+f3dwooooMwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKjuJ4rW3luJ3EcUSl3duigDJNSVx3imR9e1i18J2rkRyYuNRdT9yEHhM+rH+nY1MpcqOjC0PbVOVuyWrfZLd/5eeg7wjBLq9/d+LL1Cr3Y8qxjbrFbg8H6sef/wBddfTYo0hiSKJAkaKFVVGAAOgFOpxjyqwYqv7eo52stkuyWy/r1CqTnzNRPpDHj8W5P6AfnV2qFod8TTf89nL/AIdB+gFbU9E2eZiXeUYfP7v+C0WKKKKYjl/FX/IY8Nf9hAf+gmuorl/FX/IY8Nf9hAf+gmuoqI/EztxH8Cj6P/0phRRRVnEct4zVrH+zfEEYO7TrgebjqYX+Vx/KuoVldQykFSMgjuKgv7OLUdPuLOYfu542jb6EYrF8FXktx4fW0uT/AKXp8jWcw904H6YrPafqd0v3uET6wdvk9V9zv950VFFFaHCFFFFABRRRQAUUUUAFFFV5meaUW0TEMRmRx/Av+J7fnTSuROfIr7vou7K95dwx29xeXLbbC0UvIQM+YV5wB3x6dzxTtAspraxe5vFxf3shuLkZztYgAJ9FUKv/AAHPeqt7Gmo61aaPEoFnZBLu6A6Eg/uY/wDvoFz/ALi+tb9ZzlzPTZHZRo+xh73xS1f6L0/4fe4Vg6Si2Go32gyqDbsDdWikcGJz86f8Bcn6K6it6sbxFDKltDqtshe605/OCL1kjxiRPfK5IH95VqGb03ry9/z6Fu3kaxnW0mYtA5xBIxzj/YJ9fQ9/qOdGqh+z6lYqwYS286BlZT1B5BB/Ig02zuJFkazuWzOgyr/89U/vfXsf/r1VKfI+R7dP8v8AIJLnXN16/wCf+ZdooorqMQooooAKKKKACiiigAooooAKKKKACiiigAooooAKoXkjXU/2CFiowGncfwqf4R7n9Bn2qe9uTbQgou+ZzsiT+8x/p3PsKbaWwtodpbfIx3SOersep/z2xXNWnd+zXz/y+f5GsFyrnfy/zJURY0VEUKqjAAHAFOooqCAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAM/W9Wt9D0e51G5P7uFMhc8s3ZR7k4FZfg7SbiysJtS1EZ1XUn+0XJI+5n7qfRR2+tZ91/xVnjNLMfNpOiuJJ/SW5/hX3C9/xFdpUL3pX6I9Cr/s1BUftTs5eS+yv/bn8uwUUUVZ55XvnKWcgU4d8Iv1bj+tCqERVUYCjAFR3J8y8gi7IDK38h/M/lUtbrSKRwt81aUu1l+v62+QUUUUijl/FX/IY8Nf9hAf+gmuorl/FX/IY8Nf9hAf+gmuoqI/EztxH8Cj6P8A9KYUUUVZxBXKx/8AEn+ITp9221mDevp50fX815+tdVXNeNraU6ImpWwzdaZMt3H7hT8w+mM/lUVNr9jtwLTqeyltNcv37fc7HS0VDaXMV7Zw3UJ3RTIsiH1BGRU1WcbTTswooooEFFFFABRRTJZEhjaRzhVGTQlfRCbUVd7DZ5jEqqi7pXO1F9T/AIUyeaDRdKuLy5clYkMsrgfM59h6noB9BUtpC243MwxK4wF/uL6fX1/+tWZff8TbxDb6aObWx23d16NJn90n5gufTanrSqSsuVGmEpc8va1Pkuy/zf4bdyxoFjNaWDTXgH2+8c3F1g5w7YwoPoqhVHstatFFZHVJ8zuwooooEYWh/wDEtvbvQm4jhPn2fvA5Pyj/AHGyvsuz1rVvLY3EatGwSeM7on9D7+x6GszxHG9vFb61ApabTmMjqoyXgPEq+/ADAdyi1sxyJLGskbB0cBlZTkEHoRSaTVmauTuqi/p/8EZZ3QuoN5XZIp2yRnqjDqP89RirFZ10DZz/AG+MEpjbcKO6/wB76r/LPtWgrBlDKQQRkEd63o1HJcst1/VyKkV8Udn/AFYWiiitjMKKKKACiiigAooooAKKKKACiiigAoJABJOAKKoX7G5mTT06ON85HaP0/wCBHj6ZqKk+SNy4R5nYbaZvJzfsPkI224PZO7fVv5Ae9XqAAAABgDoKK5Yqy13HOXMwooopkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVheLNbfRdH/0VfM1C6cW9nEOrSNwD9B1//XW6SAMk4ArjNDB8U+KJ/EUnOn2Ra200Hox6PL+PQf8A1qibey3Z24OnFt1qi92Gr830Xze/lc3fDeiJoGiQ2QbfNzJPL3kkPLN/nsBWtRRVpJKyOWrUlVm6k3dvUKKKjnlEEEkp6IpbHrimld2RlKSinJ7IqxHzLm4m7bvLX6L/APXLVPUVtGYraNG5YD5j6nv+tS1vLfQ4aKagubd6v1erCiiipNDl/FX/ACGPDX/YQH/oJrqK5fxV/wAhjw1/2EB/6Ca6ioj8TO3EfwKPo/8A0phRRRVnEFNkjSaJ4pFDI6lWU9weop1FA07HL+CpHtrW90KZiZdLuGiXPUxN8yH8s/lXUVymo/8AEn8d6fqA4t9TjNnN6eYOUP1PSurqIaLl7HZjlzTVZbTV/ntL8UwoooqziCiiigAqvCv2yYTN/qIz+7H99v7309Pz9KJAbuY2yEiNf9cw9P7o9z/L61eACqFUAADAA7U5PkXmyIQ9tPX4V+L/AMl+fo71tRv4dM064vZ8+XChYhRkt6ADuScAD1NVdBsJrLTi93g3105uLog5HmN/CD6KAFHsoqref8TfxHBYDm10/bdXPo0p/wBUn4cufQhPWt6sD037sbd/6X9egUUUUGYUUUUABGRg9KwvD5/s+a60F+BZkSWue9u5O0f8BIZPoq+tbtYfiJWsvs2uxAltPJ88ActbtjzB+GFf/gGO9BcNfd7/AJm5VKzP2O5Ni3+qYF7c+3dPw7ex9quKyuoZSCpGQQeCKgvbc3EGI2CzId8T/wB1h0/DsfYmk7pqUd1/Vgg18MtmW6Kgs7kXdssoUqx4dD1VhwQfoanrsjJSSa2M2nF2YUUUUxBRRRQAUUUUAFFFFABRRRQBHPMlvA80hwiKWY+1VbCJ1iaecYnnO9x/d9F/Acfn6026P2q+itBzHFiab35+RfzGf+Aj1q7XJOXPPyX5/wBafebfDC3V/l/Wv3BRRRSMwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKhvLuCws5ru5cRwQoXdj2AFA0nJ2W5zXjO+uJltvDenPtv8AVCUZx/yxgH33P4ZA/Gui0+xt9M0+CxtU2QQIEQew9feub8HWk9/LdeKb9Ct1qPFvG3/LG3H3V/HqfwrraiGvvM7sY1SSwsfs7+cuv3bL5vqFFFFWcAVUvjuEMH/PSQZ+g5P8gPxq3VInzNQc9okCD6nk/oFrSl8V+xy4t+5yfzO36v8ABMmoooqiQooooA5fxV/yGPDX/YQH/oJrqK5fxV/yGPDX/YQH/oJrqKiPxM7cR/Ao+j/9KYUUUVZxBRRRQBh+L9NfUvDd0kORcwgXEBHUOnIx7nkfjV7RtSTV9GtL9MYniDEDs3cfgcir1cp4V/4lerax4fbhIJftNsP+mUnOB7A8fjWb0lfud0P3uFlDrB3Xo9H+NvxOrooorQ4QqGeVwVhhwZpPu56KO7H2FOmmWCMu2T2Cjqx7AU60t2jDSy4M8nLEdAOyj2FUrRXMzOV6kvZR+b7L/N9Pv6EsEC28IjTJxySerHuTUGp6hFpem3F7MGZIU3bV6uegUe5OAPc1brBuv+Jv4lhsxzaaZtuJ/RpyP3af8BGXPuUNYNtu7PRpU4xSilovyLehafLYaaPtRVr24c3F0y9DK3UD2Awo9lFadFFIJNyd2FFFFAgooooAKRlDqVYAqRggjgilooAw/DrNZfadClJLWBHkEnlrds+Wfwwyf8Az3rcrC8QA6fNa68nSzJS6x3t3xvP/AAEhX+it61uggjI5FBc9fe7/AJlI/wCh6kH6Q3R2t6LIBwfxAx9QPWtCq9zbrdWzwsSAw4YdVPYj3B5pLC4a5tQZABMhKSqOzjr+HcexFVRlyycPmv1/zCfvR5u2n+X+RZooorqMgooooAKKKKACiiigApk0qQQvLIdqIpZj6AU+qF//AKRPb2Q+67ebL/uLjj8Wx+Gazqz5INrcunHmlZ7C6fE6wGaUYnnbzZAe2ei/gMD8Kt0UVzRjyqw5S5ncKKKKZIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcb4jZvEviG28Lwk/ZIdtzqbKf4QcpH9ScH6YNb/iDWYdA0W41CYbjGMRx95HPCqPqapeENGm0rSmnvju1O+f7Rdueu89F+ijj86iXvPl+89DC/uKbxT32j69X/26vxaN9VVFCqAqgYAAwAKWiirPPCiiigAJwMmqNn80HmnrKxk/A9P0xUt+xFoyKcNIRGPx4/lk0oAUAAYA4AraOkPU4qr5qyX8q/P/ACt+ItFFFAwooooA4/xzeR6feeHrqVJHVL8fJEhZ2JGAFA6kkgVoN4sgTVodKbTdRF9NC1wkPlpkxqQCxO7A5IHNVfFqK+s+GNwzt1EEfXaaq6B/xNPiV4m1U/NHYxQaXA3uB5so/wC+nUfhUR3Z21/4FK/Z/wDpTOm0zVItUimeOGeFoZjDJHOm1gwAP4jBHNXqjihjh3+Wu3exdvcnvUlWcQUUUUAFcp4l/wCJV4h0bXl4j3/Yro/9M3+6T7Bua6us3X9MXWdBvNPOMzRkIT2YcqfzAqJq60OrB1Y06yc/hej9HozSpCQqkkgAckmsfwrqbat4ctLmTPnqvlTA9Q68HP5Z/GtDb9tmMf8Ay7xn94f77f3foO/5etXC0lfoc2JjKhN0re9e3z/yH2yG4lF1ICEH+pU+n94+5/l9au0UVE5czNqNJUo23fV93/X4FPVNQj0rTJ72VWcRL8qL1kY8Ko9ySAPc1DoenyadpircMHvJmM9046NK3LY9hwo9gKpz/wDE38TR2w5tNLxNN6NcMPkX/gKkufdkPat6oOl+7G3f+kFFFFBmFFFFABRRRQAUUUUANkjSWNo5FDo4KsrDIIPUGsbw5I9tFcaLOxabTmEaMxyXgPMTe/AKk9yjVt1ha7/xLb2z11eEgPkXnvA5HzH/AHGw3su/1oNIa3j3/M3apH/RdUV+kd0Nje0gHB/EZH4CrtV723NzaPGp2ycNG391gcqfzAqZX+Jbr+v+AKm0nZ7Mt0VDaXAurSKcDaXXlf7p7j8DkVNXbGSkk0ZtNOzCiiimIKKKKACiiigArPsf381xeHpI3lx/7i5A/M7j+IqbUZnhsZDGcSviOP8A3mOB/PP4U+CFLeCOGMYSNQq/QVy1neaj21/y/U1jpBvvp/X4ElFFFSQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXPeL9Zm0vS0trAbtUv3+z2iDqGPVvoo5z9KUmoq7NaFGVaoqcN3/X3IzB/wAVb41z97SNDfj+7Ndf12fz+tdpWZoGjQ6Botvp0J3eWuXfu7nlmP1NadKCaV3uzbGVo1JqFP4I6L/P1b1/AKKKqX2qWOmRq97dxQBjhQ7cufRR1J9hVHLGLk7JFuisX+2b+8/5BmjzMh6T3rfZ0/75IL/mo+tH9n6zdc3esiBf+edhAqfgWfeT9RtqHUSNPYtfE0v68r/iXrg+ZfQx9o1Mh+p4H/s35VWuNa0qzOLnU7OE+kk6r/M1Qi8P6dcmRruKS9USFV+1ytLkDg8MSOoPatO30+yswBbWkEAHQRRhf5Ctp1LWj2PPpezfNO7d36abLvukmUv+En0c/cvBL7wxvJ/6CDR/wkmndlvz/u6fcH+SVq0Vn7Rmt6XZ/f8A8Ayv+El0wfee6T/fs5l/mlOXxNobMFOrWkbHossoQn8GxWnSMqupVlDA9iM0/aMP3XZ/f/wDzv4geK9Cs9V8OQz63HbP9qExkhIcxpgjd0YAZ45FdV4d8MxeHvtRt9SvblLueS6lFx5R3SuQWbKop7euK8/+JPw/0TXPF/h53Els925gnFvtUOikHPThvmIz/hXocfh9LSJY9O1G/s1QBVQTeaoA6DEm7A+mKaqR6HRVi3Sp82is7el3v8/I2qKx92vWnVbPUIx/dzbyfruUn/vmnJ4hs0dY75ZtOlJwFu12KT6BxlD+DVSmmc3sZfZ19P8ALc1qKQEEAggg9CKWrMgooqKebyUGF3SMdqIP4jTSbdkTKSguZnMabDPpnizVdMiKpb6gy3cLZHysQRJgdzx+HFdhFEkMSxxjCqMAVx3i+1bSYdN8RJl59Oug9wwH3onwrgfpiuzRldFdCGVhkEdCKxcld01sj0p0ZThDGT+KSs/LlsrerVm31b8kLVLVtRTStLnvHQyFBhI16yOThUHuWIA+tXawZf8AiceJ0h62ek4kk9HuWX5V/wCAId31dT2pEwSbu9kXdD059N0xIp3El3IxmuZB/HKxyxHtngegAHatGiigTbbuwooooEFFFFABRRRQAUUUUAFRzwx3MEkEyB4pFKOjdGUjBBqSigDF8OTSR202lXLs9zpr+SXbrJHjMb++VwCf7ytW1WFrP/Es1Sz1teIuLS8/65Mfkc/7rkfQO5rdoLnr7y6lO1P2fUbi26JIPPj/AB4cfng/8Cq/WfqH7kwXg/5YSDf/ALjcN+WQf+A1oVph3o4dvyf9MKmqUu/6f0goooroMgooooAKKKKAKFx+/wBVtof4YVM7fU/Kv82/KrlUrH97Pd3PZ5TGp/2U+X/0Ld+dXa4Yvmbl3f8AwDapo1HsFFFFUZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjMqIzuwVVGSScACuO8Nq3iTxBc+KZ1P2WPdbaYjD+AHDSfVjkfmKk8Y3U2oT2vhWwcrc6h81zIvWG3H3j+PQfiK6WGK10rTkiTZBaW0YUbjhUVR3J/nUfFLyR6Ef9nw9/t1NF5R6/wDgT09E+5ZqhqGsWemFEndmnk/1VvEpeWT6KOce/QdyKofb7/W+NKzaWJ630qfPIP8Apkh7f7TcegYc1f0/SbTTA5gjJmk5lnkYvJKfVmPJ+nQdsUpVOxy+zjD+Jv2/z7fn6FLZreqcySDSbU/wR7ZLhh7tyifQBvqKt2OjWGnSNLBADcMMPcSsZJX+rtlj9M1forJtvcHVk1ZaLy/rX5hUVxL5FtJLjJVSQPU9hUtVL072gh/vvub6Lz/PFXTSckmcmIm4Um1v09XovxCCPybeOPOSqgE+p71JRRVttu7MIxUYqK2QUUUUigooooA4XxI5l8d6KP4YJolH+828n9Atd1XB6l+91/Trn/nrrZVfokYTH5q3513lRHdnp4/SnRXaP66/iFNdEkRkdQyMMFWGQRTqKs8wyDoK2p36Rcyae3XykG+A/WM8D/gO0+9H9sz2Hy61bCBP+fuEl4D/AL3dP+Bcf7RrXo6jBqlJrY19pzfGr/n9/wDncb58Xkef5imLbu3g5BHrRaws7m6mUh2GEQ/wL/ie/wCVYi6RIskk+i+VBGrhhby7jBK4PJCg/J9QOvJBxWpp+sx3c5s7iJ7S/UbmtpTyR/eQ9HX3H4gHitnUSXL1/rQypUPbP2sdYLb/AD9O3Tr2LOoWUWpadc2U4zFcRtG30IxWF4EvZbjw4tldH/TNNkaymHuhwD/3ziumrkE/4knxJdPu2uuW+4ennxdfzXn6msJaSUvkezhv3tCpR6/Evlv/AOS3fyOh1fUV0rS5rsoZHUBYoh1kkY7UQe5YgfjTdE05tM0uOCVxJcsTLcSgf6yVjl2+mTx6AAdqy7y8tbrxEHu7mGHTtJILPK4VXunXgZPHyIc/Vx6VuteWqWf2t7mFbYqG84yAJg9Du6Yqzkl7sVH5/wCRPRUNtd217F5tpcRTx5274nDDPpkVNTMwooopAFFFFABRRRQAUUUUAFFFFAEV1bQ3tpNa3CCSGZGjkQ9GUjBH5VmeHbmZrOXT7ty97p8n2eV26yAAFJP+BKVJ99w7VsVhar/xK9as9YXiCbbZXnptZv3Tn/dc7fpIT2oNIapxNqaJJ4JIZBlJFKsPYjFR6bK01hEZDmVMxyf7ynaf1FT1UtP3Oo3cHZ9s6/iNp/Vc/jRB8tRPvp+v9eolrBrtr+n9eheooorsMgooooAKiupxbWk07dI0Ln8Bmpao6p81vHB/z2mRPqM5P6A1nVk4wbRdOKlNJj7CA21hBC3Lqg3H1bufzzViiiuaKUUkglJybbCiiimIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKrajf2+l6dcX10+yCBC7n2HYe/arNefeLtUj1bxFbaAqPPa2zrNdQxctcS9Y4R/6ExPAAJ7VM5cqOvBYb6xVs/hWr9F/nsvNlvw64sLO58UayGGoas4MUCjc4j/5ZxIvUkjn+fQ1sx6ZcatKl1raqI1IaHTwd0cZ7NIf43/8dHbJ+aptN0uRLj+0dSZJtRZdo2/6u3U/wR57erdW+mANWsb6WReJxPPUc47/AJLZJeSWl9/1KKKKRxhRRRQAVSz5l/K3aJRGPqeT/wCy1cJCqSTgDkmqVoCbcSMMNITIfx5/lgVrT0Tl8jjxLvOEPn93/Bd/kT0UUUAFFFFABSMwRSzHCgZJpaztfkaLQL4ocSPC0aH/AGm+Vf1IoZdOHPNR7s5W5UiDwfIww01757D3kBc/q1d3XK+JY1h1LwvEgwqXwUD2C11VTHdnbjZ89OnLvzf+lMKKKKo88Kry7riX7NGSBjMrj+Eeg9zTp5WTbHGA00nCA/zPsKsW8C28QQEsScsx6se5NXfkXN16f5mXK60vZrZb/wCXz69l6okRVRAigKqjAA7CquoaZa6nAIrlDlDujkQ7XibsysOQat0Vznoxbhbl0sYkGpXWkzpZ6y4eFyFg1ADarnssg6I/ofut7Hisz4kf6L4aTV4iBd6bcxXEGf4m3Bdv0IP6V1U8MNzbyQ3EaSQupV0cZVgeoIr5+0/V/FM/xSSC6a4ufCNlfSQq8ys9rHCQyITJjk7XGCT3HOK0j76cWzroVeSrGtGLunrZaP8AyvtY9dgtoW8G2NokguTqjJ5zkf6/zTvmJ+qeZx2HHasPw3M+iaZ4h8GO377TZNmn7+d9vcH9z167WYofTAp/hBNXi1b+w3jtHs9CnkXdJcMJiJB+6cLsIICmQfe/iHTHPQap4WF/4y0jxBHN5RtI3huY/wDn4jPzRg/7sgDCtYSvHUyxlL2VeUd1fTzT1T+aN21tYLG0htbaJYoIUCRoowFUDAAqaiig5wooooAKKKKACiiigAooooAKKKKACoL2zh1Cxns7lN8E8bRuvqCMGp6KATtqjJ8PXk09g9rePuvrGQ21wx/jIAKv/wACUq3/AALHarVz+61Gyn7MWhb6MMj9VA/Gs3Uf+JV4gtNUHFtd7bK79AxP7lz/AMCJT/gY9K0tUGNPklA5hImH/ACG/pUTdo37a/dqbxV5praX66F+igEEAjkGiu85gooooAKo3P7zVrOPsiSSn2PCj/0JqvVQj+fWblu0cUaD6ksT/wCy1hiH7qXdr/P9DWl1fZfnp+pcooorIgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKbJIkMTySOqRoCzMxwAB1JoAyvE2uJ4f0Sa9K+ZMcR28Q5Mkp+6oH6/QGsvwd4WOiWz3t+3naxdkyXErHOwsclR+mT3I9AKytGlfxv4ufWpFI0fS2MdlGwx5kvdyPUcH2+XuDXfVzSlzyv0PUxF8JR+rL4pWcv0j8t35u3QKKKKDzQooooAKKKKAKt+f9FMY6ykRj8ev6Zp4GBgdKinPmX8adokLn6ngfpuqWt9opfM4L81WUvl93/BbXyCiiipLCiiigArL1r95/Z9r/wA972PI9kzL/wC061Ky7n994lsY+0EEsx9iSqr+hekzbD6Tv2Tf3LT8TM8Vf8hjw1/2EB/6Ca6euY8Vf8hjw1/2EB/6Ca6ekt2bYj+BR9H/AOlMKZLKsMZd+g7DqT6Cnk4GT0qC3T7VKLlh+6X/AFKnv/tf4VpFL4nsjz5yldQh8T/Dz+X/AACW0gZd08w/fP1H9wdlH+etWaKKylJyd2dlKnGnFRiFFFYk0j6/O9pbuyaZGxW4nU4M5HWND/d7M34DviGzop0+d3eiW7M7XdUe+sJ2t1L6erCFQDg30xO1YlP/ADz3EBm789ga2tJ0eHTdEi05wkw2nzyyjErtkuSPck8fhVGCNNS8RgRoq2GjDy41UYU3DLzgeiIcfV29K6ChI0rVPdUI6Ja/15/8N0PPxZzeEvH9hN5hfStRT7ErMcmNhyiMe+Dwp6447ZPoVc7420g614TvbdFzPGvnQ46715GPqMj8ah8GeIH1XTLeG7fdcmASxyn/AJbx9Cf95W+VvfB6MKulKzcTqxKeJw0cR1j7r/NP7tPkdRRRRW55YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBW1Cxh1PTriyuATFPGUbBwRnuD2I6g1R0O7l1DSXt77BvbZmtbsAYy6j72PRlKsPZhWvWDe/8SnxJbX44tdQ22lz6LKM+U/45KH1JT0oZpDVcvzRraW7SaXbF+XEYVv94cH9RVuqOmfKlzF/zzuHH/fR3/8As1Xq3oO9OPoTV+NhRRRWpmFULL5ri/k/vXGB9FVR/MGr9UNM5tXf+/PK3/kRsfpiuavrKK9X+n6msNISfov1/QuUUUVBAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5/8QNXuL2eDwvph3XF06pLj1PIU+wHzN7bR0Y12Gt6rHoukT3sgDFBiNCcb3PCjPbnqewye1cf8P8ASpLua48TXpMks5ZLZmGCVzl5MdtzZx6AY6YrGtL7K6nqZfCNOMsXUWkNl3l0+7dnX6LpNvoekW2nWw/dwpjOOWPdj7k5NX6KKzWh585ynJzk7t6hRRRTJCiiigAooqG6lMFrJIPvBflHqe3604pyaSInNQi5PZFe3PmPPN/fkIH0Xj+hP41PTIYxDAkY/hUDPrT62m05aHFSi4wXNv19Xq/xCiiipNAooooAKy7P994h1ObtEkNuPYgFz/6MX8q1Ky9D/eQXdz/z8XkrfUK2wH8kFJ7m1PSnN+i/G/6MzPFX/IY8Nf8AYQH/AKCa6euY8Vf8hjw1/wBhAf8AoJroJ5HLLBCf3r9/7i92P+etEI3k0aYuahhqTfZ/+lMRl+2TGAf6lD+9P94/3f8AGr4GBgdKjhhSCJY0GFHr1PuakoqTvotkY0KTgnKXxPf/AC9F/wAEKKKxrq4m1a6k06xkaOCM7bu6Q4K/9M0P971P8P16ZN2OunTc32S3fYS4ml1q4ksbSRo7KNil1cocFz3jQ+v95u3Qc5xNqt2uiaKfscCeaNsFpAowGkb5UX2GcZ9ACe1X7e3htLeO3t41jhjUKiKMACsaL/iceJ3n62elZij9HuGHzt/wFTt+ruO1CRq5qWi+Ffj6+b/A0dI05dK0uGzDmR1BaSU9ZJGOXc+5Yk/jV2iimc7bbuwrz/StPktdS1bQ7ZljvNPuP7Q0xm4HlydU/wBzPyn/AHs9QK9ArkPFP/Eo8RaJ4hXiMSfYbs/9M5Puk+wbn8aiWmp6GXybc6K+0tPVar79Y/M6bTNQj1TT4ruNWTdkPG33o3Bwyn3BBB+lW6wm/wCJP4hWQcWWqMEcdo7gD5W/4GowfdV9a3a6oyujhqxSd47P+vwCiiiqMwooooAKKKKACiiigAooooAKKKKACqmp6fFqmmXFjMSqTIV3L1Q9mHuDgj3FW6xJvEkMsz22kW8mqXKna3kECGM/7cp+UfQZb2oKgpN3iM8L6jJe/bEudq30TIt0g7SgFCQPQ7Aw9iKteKtQOk+FdU1Jbh4GtLZ5w6BScqCQMMCOSMfjXk+i/DjxbbfGr/hI77UbZbd5JLqR4ZmYshyPKAKjIGQOcDAyOeK674q6jZTaNZeG5b+CGTVr+3t5wZVDRwb97uQegwmOeOcVvRSUbJ33/wAwqvmle1jb0O91M+HbJb65e71u7tUmkjVERYGZfZflUHPLZJwcA9K19Itb+0slTUtSN/cnl5RCsS5/2VHQfUmuG1m4sPBHxF0fVDdxRWWtQmwvRLMM71y0UxycnqyFugBFejqwZQykFSMgjoa1Mxaz9J50q3b+8u78zn+tXycAn0qjpIxo1iP+neP/ANBFctb+JH0f6Gsf4b9V+pcoooqSAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqOsapBoukXWo3J/dwRlsZxuPZR7k4H40N21ZUISnJQirtnDeLpJvFXjG08L2rkW9uPNvHX+DI5/HaQo/66GvQYIIra3jghQJFGoREXooAwBXL+BNFmsdNm1XUBnVNUf7ROSOVBOQvt1zj3x2rrK5Fq+Z9T0MfViuXDU37sNPWXV/fovJBRRRVHnhRRRQAUUUUAFVLw75beH1be30X/AOuVq3VIHzL6Z+yARj69T/MflWlLdy7HLi3eKh/M7fq/wViaisDWddlh1mz0DTFjfVLpGmZpASltApwZGAwTz8qjIye4Aqn4o1G+8JaIdcbUJbuC1ljF1DPHGA8bOqMVKqpDDdkckcYxzkVYVjq6KKKQgooooAiuZ1tbSa4f7sSM5+gGaq6JA1todjE/+sWBN/uxGT+uai8Q/Noc8A63JS2/7+ME/wDZq0mZY0LMQqqMknsKW7Nm1Ghfu/yX/BOa8VLI2qeHmjQuUvdxA/3T/XA/GumtbcwqWkIaZ+XYfyHsK5PxE0x1jw1KxZEl1ABY+nyhSefc9fwFdpROXLeC+f8Aka+zlOlRrT2s+VfN6vzfTsvVoKKKyb28nvLptM059ki4+03IGRbqew9XI6DsOT2BybsaU6bm7L5vsNvLqfUbp9N0+QxhOLu6X/lkP7if7ZH/AHyOeuBWla2sFlax21tGI4YxhVH+evvSWdnBYWqW1smyJOgzkk9yT3JPJJ61PQkVUqJrkh8K/Hzf9afe3m65qL6bpjyQIJLuVhDbRno8rHCg+3c+gBNS6TpyaVpcFkjl/LGXkbrI5OWc+5Ykn61nW/8AxOPE0t0ebTS8wQ+jXDD943/AVIQe7OK3qZMvdSiFFFFBAVmeIdKXW/D97pzYzNEQhPZxyp/MCtOik1fQqnUlTmpx3Tuvkcxokw8V+BokuHZLgx+TK38UcyHAb6hgGH4Vs6LfvqOlxyzqEuUJiuEH8MqnawHtkZHsRXPaN/xJfHeraSflt9QUahbjtv6SD655+grWi/4l/iqSPpBqcXmr6CaMAN+LJt/79mqpS6M7sZTjzyUNn70fR6tfL/2026KKK6DzQooooAKKKKACiiigAopHdY0Z3YKqjJJOABWE3iJr5jHoNo2onODclvLtl/7aYO7/AIAG/CgqMHLY3SQASTgDqTWG/iRLqRoNDtW1OUHa0qNst0P+1KeD9FDH2pB4dk1AiTX7w3/f7Ii+XbL/AMAyS/8AwMkewrcREijWONFRFGFVRgAegFBXuR8/y/r7jD/sC41L5tfvTcof+XK3Bitx7MM7pP8AgRwf7orbhhit4UhgjSKJBhURQqqPQAdKfRQTKbluVH41q2P963lH/j0f/wBer1UJuNWsj6rIP0X/AAq/WmH+16/oh1No+n6sKKKK6DIZL/qX/wB01V0z/kFWf/XBP/QRVxhuQj1GKo6Ud2j2J9beP/0EVy1v4i9H+hrH+G/VfqXKKKKkgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArz/XLseKPHdh4dj+fT7F/tN76O6jIU+oBKg/73tXS+KdcOhaK80K+ZezMILSIcl5W4UY9uv4Vj+DNEGl318JH82eBEhnlJyXncebKc9+GiH/AAGsarv7p6mCiqFKWKlvZqPrs38r6eb8jsaKKKg80KKKKACiiigAooooARmCIzscKoyTVK0BFsrMMO+Xb6k5/rUl+c24iHWZhH+B6/oDT62jpD1/Q4aj5q/+Ffi/+GX3nE2kY074tavc37BF1Gwt1sJXOFbYW8yMH+9khsdcc0nimI+NLm18O2J8zTUuUn1W6XmMIh3CEHozswGcfdA56iu0lijnjMcsaSIequoIP4U5VVFCooVQMAAYAp83Uu55r8YPGfiLwfY6bJoVumy4kYTXDxeYEI27Vx0G7J6+nFdt4av73VPDOm3+o2v2W8uLdJJocEbWI54PI9cHkdK1etFDatawX0CiiipEZeq/vb/Sbbs1yZW/3URj/wChbauKv22b/p3jbn/bYf0H8/pVC4hmuvEkSxkqkNqwZx/DvYdPfEf61uRxrFGsaKFVRgAdqd+RX6v+v+G+/sVOKr8sPsxWvm7vT7rX+7ujlfF3/Ib8Lf8AYRH/AKCa6yuT8Xf8hvwt/wBhEf8AoJrY1C/me4/s3TipvGXdJIRlbZD/ABN6k9l7/QGuZOzZ7dWm50KKXZ/L3mJf3s890dM01gLnAM8+MrbKe/u57D8Tx1u2VlBp9qtvbqQgySScszHksx7knkmksLCHTrUQQhjyWd3OWkY9WY9yas1SXVnJUqK3JDb8/N/oun3sKzNd1CTTtMZrZQ97OwgtUPRpW4XPsOWPsprTrBtf+Jx4lmvTzaaZutrf0aY/61/+AjCD330yIJXu9kaWl6fHpWmQWUTFhEuC7dXY8sx9ySSfc1coooIbbd2FFFFABRRRQByXjlGsU03xFEpL6XchpcdTC/yuP5frWn4jIGjpqcPztYSLeIV5yi/fA+sZcfjWlf2UWo6fc2U4zFPG0bfQjFc/4IuXu/DR029Aa50+R7GdT328D8NuKjaR6MZc+GjPrTdv+3Za/nf/AMCOpVldQykFSMgjuKWsfww7HQYLeRi0lmz2jk9T5TFAT9QoP41sV2J3VzzqkeSTj2CiiigkKKjnuIbWB57iaOGFBl5JGCqo9ST0rE/t271P5dBsTNGf+X67zHAPdR96T8AFP96gqMHLVG5LLHBE0ssixxoMs7nAA9SaxD4gm1H5NAsjeKf+XyYmO2HuGxmT/gII/wBoU6Lw3FPKtxrVy+qTqdyrKoWCM/7MQ+X8W3N71udKCvcj5/l/X3GEnhsXjrNrt02pyA5EBXZbIfaLJ3fVyx+lbiqFUKoAAGAB2paKCZSctwooooJCiiigCncf8hOx/wC2n/oNX6oT86rZD2kP6D/Gr9aYf7Xr+iLqbR9P1YUUUV0GQVn6RxpFov8AdiC/lx/StCqGl8WO3+5LIn5Ow/pXNW/iR9H+hrH+G/VfqXKKKKggKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiuX8Z6lcC3t9C01salqjGJCP+WUf8bn6D/PFKUuVXNsPQlXqKmuvXsur+S1Kelf8AFV+LZdbf5tM0wtb2A7SS/wAcn9B+HpWz4Z/eaZLeHrd3U0+fVS5Cf+OBanjtrfw54ZaG1XbBZWzFc99qkkn3JyT9adoVt9j8P6bbHrFaxoc+oUCsZKyV9zqxNeNRPk0irKPor/i3q/NmhRRRUnCFFFFABRRRQAUUUUAU5T5moKvaJNx+rcD9AfzqWoLY+YZZv+ekhI+g4H8s/jU9dE9Pd7f1+Z51J8yc/wCZ3+XT8LBRRRUGoUUUUAFRTymNQqLulc4RfU/4CnySLFG0jnCqOaS1hbcbiYYlcYC/3F9Pr61SslzMzk5Sl7OG769l3/y/4DM7RIiNS1eYsXImSDef4tqBif8Avp2H4Vt1k+HPn0gXPe6mluM+oeRiv/ju2pNS1GSGVLGxRZdQmGVVvuxL0Mj/AOyPTqTwO5HO5N+8z15ULVPZU1pHT7la/wCF2c143uS+u+HLO0ljF79sDjcNwjBBAZh+eB3wa6zT9Pi0638qMs7s2+WVzl5XPVmPr/LgDgVyeu6dHp+qeGFDtLNJqe+ad/vSvtPJ/kB0AwBXb1Md2zsxk0sNRhB6Wfz95/0goooqzzDL17UJbDTcWoDX1y4t7VT0MjdCfZRlj7Kas6Zp8Wlabb2MJJSFNu5urnqWPuTkn3NZll/xN/Ec+oHm00/da23o0v8Ay1f8MBB9H9a3qC5e6lEKKKKCAooooAKKKKACuQX/AIknxJZfu22uW+R6efF/iv5k119cv47tJX0AalajN3pcy3kXuFPzD6bc/lUy2uduAadX2Utprl+/b7pWZo6V+413WrToGkiu1HoHTZ/6FEx/GtmuWOs6fb63a6rNdRQWd9pZcSSsFB2OpA+v748Va/tXVdW+XR7L7Nbn/l91BCoI9Ui4Zv8AgWwfWuim/dMa1KXNd6aL8NH+Rs3V3bWNs9zd3EUECDLSSuFUfUmsb+2dQ1X5dEsdsJ/5fr5Wjj+qR8O//joPZjU9r4ctY7lLy+ll1K+Q5We6IYRn/YQAKn1Az6k1sVZleMdtf6/r/Ixbfw3btOl1qk8mqXaHcr3OPLjP+xGPlX64Le5raoooIlJy3CiiigQUUUUAFFFFABRRRQBUk51m0HpDK36oP61eqiPm1sf7Fsf/AB5h/wDE1erXD7Sfn/kXU2ivL9WFFFFbmQVQsPla8j/uXLf+PAN/7NV+qEHyarep/eEcv5gr/wCyVz194vz/AEZrT+GS/rcuUUUVmQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEVzcRWltLczuI4YkLu56KAMk1yvhC3l1W9u/Fl6hWS9Hl2cbdYrcHj8WPP/66b4okfxBrVr4UtmIhOLnUnU/diB4TPqxx+ldfHGkUaxxqFRAFVQMAAdBUfFLyX5noP/ZsNb7dT8I//bP8Eu5k+LD/AMUlqyjrJayR/wDfSlf61rAAAAdBWR4q/wCRbux67B/4+ta9RU3OV/wl6v8AJBRRRUGYUUUUAFFFFABUF3KYbSR1+/jC/wC8eB+pFT1Uuzvnt4e2TI30HT9SPyq6SvNXOfEycaTtu9F6vQWKMRRJGvRFCj8KfRRVt3d2ZJKKsgooopDCiiq7g3Uxt1JEa/65h/6CPc9/b61UY3IqT5Vort7Lz/r8BYF+1zCdv9Qh/dj+8f7309Pz9KXWLo2Oi312PvQwO649QpIq4AFAAAAHAAryb4z/ABDv/CLafpdnYQypeL5sss+cFVcfIuCOTjn2IqJN1HaPyOzCU40mnPXVNv8Ar8D0AztpGnWGk2cazXwgWOKIn5VCgAu57KP16Dk1d03Tk0+Jy0hmuZjvnncfNI39AOgHQCqfhiMy6NbanOj/AG3UII7i4aUYYFlB2Y7Bc4A7fUk1s1lbuddWqtYxe+77/wDA7fe+y5Pxd/yG/C3/AGER/wCgmusrk/F3/Ib8Lf8AYRH/AKCa6ykt2a4n/d6Po/8A0phWVr9/NZacI7PH2+7cW9qCMjzG/iI9FAZj7Ka1awLD/ib+IbnUzza2O60tPRnz++f8wEH+63rVHLBK/M9kaum2EOl6db2NvnyoECAsclvUk9yTkk+pq1RRQQ227sKKKKACiiigAoqnqGq2OlQiW+uY4VY7UBOWc+iqOWPsATWb9r1vV+LG2Gl2p/5ebxN0zD/Zi/h+rnP+zQUoNq/Q1L/UrLS7f7RfXMVvFnAaRsZPoB3PsOayJLzVtcieGwshZWcgKtdahGdzqeu2Hg/i5X6Grlh4fsrG4+1v5l3fYwbu6bzJPoD0QeygD2rVoKUox+HV/wBf1+h5b4Q02DTvFEGm3W+4vtOuJ4EkncviJk3xlQeE4VvugV6pXDa7bJpvxJ0DVydkN2WtZfQybGCE+53Y/Cu5rSjs0dmZyVSUKy+1G/zu7/j+DCiiitTzQooooAKKKKACiiigAooooAKKKKAKlv8ANq92/wDdjiT/ANCP/swq9VHTvmlvZf79wQPoqqv8wavVth/4f3/mVV+L5L8gooorYzCqEv7vWoW7SwOp+qkEfzar9UdR+Q2k/wDzznUH6NlP5sKwxC9y/az/AK+RpS+K3e/9feW6KKKyJCiiigAooooAKKKKACiiigAooooAKKKKACs/XNXg0LRrnUbjlIVyFzy7dAo+pxWhXFz/APFWeNFth82k6I4eX+7Nc9l9wv8APPrUzbS03OvB0Y1JuVT4I6v07erei9TR8HaRPYadLf6jzquov9ouiRyufup9FHb610dFFOMeVWRjXrSr1HUlu/6t6LZGN4r48L37f3I9/wD3yQf6Vr1neIoDdeGdVt1+9JZyoPqUIq3aTi6soLheksauPxGayqbj/wCXS9X+SJqKKKgzCiiigAooooAKpIfMvJ5Oy4jX8OT+p/SrcjrFG8jHCqCx+gqpaoyWyb/vt8zfU8n9TWtPSLfyOPEPmqRh2u/0X5/gTUUUUAFFFRzSrDGXYE9go6sewFNJt2QpSUU5PZDZ5GBWGLBmk+7noo7sfYVZghW3iEaZ45JPUnuTUdrA0YaSXBmk5YjoPQD2FRalqKafEmI2muZTsggQ/NI3p7AdSegFKpNJcq2NMLQnOXO17z2XZf1q/wDgXE1LURYpHHHGZ7yYlYIFOC57knso6k9vrgHDl0WGTXNKW/WK8vGeS8mkdAR8i7FCg9FUyjA9eevNbOm6c9u8l3eSLNqEwAkkA+VF7Inoo/U8mqVzeRWut6lfzH9zp+nqSf8AeLsw/JE/OsNWetTlGClGGyTu+99PuTfz3fS2fo3im9m8YXOg6nFbqrRPLY3MKsgnEchjlUqScMrAcA9Oa17C41WfWdQjnez+w20gjj8uNhIxKq/OWwMBgM9+elcx4w0y50vwrpOvW6eZqXh11u5NnWWMjFyv/AlLN9RWouqz2um6IbdAH1u9J82VSRCsiyTDI4y21Qg98emDq1fVHCN8Xf8AIb8Lf9hEf+gmusrzu/1htU1zSreUxtNp2vNaO8YwHxGrg4yccOAfcGvRKyStJndif93o+j/9KZk+IL6a009YLMgX95ILa1yM7XYHLkeiqGY/7tXdPsYdM0+3srcEQwIEXJyTjuT3J6k1k6b/AMTfX7nVjzbWm6zs/QkH97IPqwCD/cPrW/VHLP3Uo/f/AF/XUKKKKCAoqhqWtWGlbFup/wB9J/qoI1Lyyf7qLlj+VZ+7XtX+6Botof4m2y3TD2HKR/jvPsKClBtXeiNHUdXsNJRGvLhY2kOI4wC0kh9FQZZj7AGs7z9e1fi3iGj2h/5azqJLhh/spyqfVix9VFXtO0Ow0t3lgiL3MgxJczMZJZPq7c49ug7CtGgfNGPwq/r/AJGZp+g2GnTG5RHnvGGHu7hzJKw9Nx6D2GB7Vp0UUEuTk7sKKKKBHGfEKwm1S0sbW2ZluEaW4iK9d0cZYY/HA/Guk0HVE1rQbLUUx+/iDMB2bow/Agiq1z+88X6ag6RWdxIfqWiUfzb8qyvCX/Ep1zW/DjcRxS/bLQf9MpOoHsrcfjVQ0d+56X8XBcnWHvL0bs//AG1/edfRRRW55YUUUUAFFFFABRRRQAUUUUAFHSiqupSNHptwU++UKp/vHgfqRSlLli2OMeaSXcNIBOlwyHrLmb/vslv61dpsUaxRJGv3UUKPoKdXVTjyQUeyFOXNJy7hRRRVkhVbUIWuNOuI0++UJT/eHI/XFWaKmUVKLi+o4ycWmuhBbzLcW0U6fdkQOPoRmpKpab+7iltv+feVkH+6fmX/AMdYVdrjg24q+5pUioyaWwUUUVRAUUUUAFFFFABRRRQAUUUUAFFFISACSQAOpNAGF4t1uTRtI22i79Su3FvZxjqZG4z9B1/L1qz4c0SPw/okFijb5B880veSQ8sx/H9AKwdBB8UeJp/EkoJsLTdbaap6N2eX8eg9vpXZ1EfefN9x6GK/2emsKt95evRf9ur8WwoooqzzxGUOpVhlSMEVjeFmP/CM2MTEl7eP7MxPXdETGf1U1tVi6L/o+oaxYn/lndeeg/2JVDZ/778z8qzqLZm0Nacl6P8AT9TYooorIzCiiigAooooAq353QpD3lcKfp1P6A0+opD5moAdoY/1Y/4D9alrd6RS+f3/APAscCfNUlP5fd/wbhRRRUliEhVLMQAOSTUVtGbiQXUgIUf6lT2H94+5/l9abt+2TGP/AJd4z85/vt/d+g7/AJetS6hfw6dbebKGZmYJHEgy8jnoqjuf/wBZ4FVOXIrdWKhSeIqJpXSenm+/ounnr0Q3UdQj06BXZWklkbZDCn3pX7KP6noBkmodO0+SKV76+ZZdQlGGK/diXr5ae3qepPJ7AJp1hMJ21HUCr30i7QqnKwJ/cX+p7n2AA065t9T1JyVOPJD5v9F5fmFc/a6ZYa0dVbUbG2vIJL4hY7iJZFHlqsfRgR1VvzNb7MEUsxwoGSfSsvw2pHh6zkYYadDcMD6yEuf1an1FDSlJ97L83+iNBLW3jtRapBEtuE2CJUAQL0xjpj2qtqNg93bQwwtCkccis0UkKukigHCEHpzg5HIxV6incxOB1TRotG1Pw+qsrzXWsG4ndU2KXKY4XsAqqoHPC9Sa6fxDez29ilrZNtv76QW1seuwkEs/0VQzfhjvWV4u/wCQ34W/7CI/9BNXdL/4m2uXWsNzb2+6zsvQgH97IPqwCj2T3qVq2ejVX+z0ZPon/wClM17Gyg06wt7K2XbDBGI0HfAGOfU1YrM1DX7HTpxbM73F6wytpbL5krD12j7o92wPeqf2fXdX5uphpFof+WNuwe4Yf7Un3U+ign0aqOHkb96Whe1HXLDTJFhmlL3TjMdrCpkmf6IOce/QdzVHZr2r/wCsYaNaH+FCslyw925SP8Nx9xWlp2kWGkxstlbLGXOZJCSzyH1ZzlmPuSau0BzRj8K+/wDy/wCHKGm6NYaVvNpABLJ/rZ3YvLIf9p2yzfiav0UUENtu7CiiigAooooAKKKKAMi1/f8Ai7UJf4be1hhB/wBpmdm/TZWT4r/4lHiHRPES8RpL9iuz/wBMpOhPsrc/jWt4d/fxahfn/l7vZWU+qpiJT9CIwfxqfxBpS63oF7pzYzPEQhPZuqn8CBWvLeGh3UasaWJXP8Pwv0as/wBX6mlRWF4P1VtX8L2dxNn7Si+TOD1EifKc+5xn8a3atO6ujjrUpUakqct07BRRRTMwooooAKKKKACiiigAqne/vJ7O3/vzB2+iDd/6EFq5VOIedrEr/wANvEIx/vMdzfoE/OpkrtR7v/gv8DSno3Lsv+G/Ev0UUV3GIUUUUAFFFFAFBv3Gs/7NzF/48h/qG/8AHauVU1QFbVblRlrZxLx/dHDf+OlqtAggEHIPQ1xtcs5R+f3/APBuay1ipfL7v+BYWiiiggKKKKACiiigAooooAKKKKACuU8ZXs9z9l8Nac+291MlZHH/ACxgH32P1GQPXmukvbyDT7Ke8uXCQQoXdj2ArmvBtnPePdeKNQQrd6ljyUP/ACxtx9xfx4J9eKievurqd+DiqaeKntHbzl0+7d+lup0lhZQabYQWVqmyCBAiL7D+tWKKKs4ZScm5PdhRRRQIKxbr/Q/FdncdI76BrVz/ALaZkT/x0y1tVleIreWfR5JbZC11astzAo6syHdt/wCBAFf+BVM1dGtF+/Z9dPv/AKuadFRWtzFeWkN1A2+GZFkRh3UjIP5VLWBDVnZhRRRQAUUVBeyGO0kKnDsNq/U8D9TTjHmkkupFSapwc30VyC1O9ZJv+erlh9Og/QCp6aiCONUUYVQAPpTq2m7ybRxUouMEnv19ev4hUEzPJILeE4kYZZv7i+v19P8A61Onm8pBtXdIx2on9402SWDSLF7m6kySQXYDJdjwFUdSegAouoLmfyGoSrz9jD5/5Lzf4LXsOurq20iwDuCEXCIiDLOx6Ko7sTVfT7GeS5/tLUgpvGUrHEDlbZD/AAj1Y/xN36DgU2wsp7i6Gp6koFxgiC3zkWyn+bnufwHHJ1q59ZO7PVfLRj7On6Nr8l5d316ablFFFMxMzxDK0Xh6/MZxI8LRxn/bb5V/UitCGJYIY4kGERQqj2AxWZrv73+zrT/nvfRZHsmZf/ada1LqbS0oxXdt/kv0YUVkXviKzt7lrK1SXUL9ettaAMyf77ZCp/wIiq/9naxq3OqXn2G2P/LnYOQxHo83DfggX6mmQoPeWh5j8Z/iEuia/pelWkLNc2w+1POr4MZYMoAGPvD735V6JpmmalfaXaQvMdJ0xYVWK0tGPnFMcB5SAVOOoUA5/iNcdqOh6TfeJdDvU020GnrqX2W0j8oEOEz5khz13Pxk5yEB712Ol65quo+M9Z0kGz+xaX5O+YRNvdpFLBB8+AVXGT79BVe61otVudVf2lKnBN3Tvby1d/x+43tP0ux0qAw2NtHAjHc20cufVieWPucmrdctouuarqnivW9OY2f2HSpY4jMkTBpWdN5UfPgbcrk85z0FdTSascTbbuwooopAFFFFABRRRQAUUUUAFUNbvm03Rbu7jXdKkZ8pf70h4QfixA/Gr9Y2p/6drem6aOUjY3s/+6nEY/FyGH/XM0JX0NKSTmr7LX7jQ0uyXTdKtLFTuFvCse7+9gYz+PWrdFFdJlJuTuzkNH/4kvj3VtKPy2+ooNQtx23/AHZB9SefoK6+uS8dI1jFpviKFSZNKuQ0mOphf5XH8v1rq0dZI1dGDIwBUjoQaiGjcTuxn7yFPEd1Z+sdPxVmOoooqzgCiiigAooooAKKKKAAkAEk4AqrpQLWZuCPmuHM34H7v/joWm6mS1p9nQ4e4YQjHbPU/guT+FXlUIoVRhQMADtVUlepft+v9fiW9Kfr+n9fgLRRRXUZBRRRQAUUUUAIQGUqRkEYINUdNJS3a1Y5e2Yxc91HKn/vkir9UJ/9G1OKbolwPJf/AHhkqf8A0IflXPXVrT7fr/wbGtPVOPz+7/gXLlFFFZkBRRRQAUUUUAFFFFABRRWX4h1qLQNEuNQkG9kG2KPvJIeFUfj+maG0ldl06cqs1CCu3ojA8QsfE3iO38MQkmyt9tzqbDoQOUi/E8/TntXZKoVQqgBQMADtWB4R0WXSNJaW9O/U71zcXkh6l2/h+g6fnXQVEE/ie7OrGVI3VCm7xhp6vq/n08kgoooqziCiiigAooooAw9E/wBAu73RW4WB/PtveCQkgf8AAW3r9AvrW1WP4gje1FvrUKlpLAkyqoyXgbHmD3xgOPdMd61o5EljWSNg6OAyspyCD0IrnkrM3qe8lU77+v8Awdx1FFFIyCql0d91bxdhmRvw4H6n9Kt1SjPmXVxL2BEa/Qdf1J/KtaW7l2/4Y5MU7qMO7/LX9LfMmpruscbO5wqjJNOqlLcQBHvLmRY7K3+bc3RmHf3APT1P4VUUt3sjOTk2oU1eT2X9dP8Aht2OM0VnBJqV83lqBhQRkqp6ADuxOOB3wKisrSe9ul1PUUKOufs1seRAD/EfVyOp7DgdyUs7WbUrpNS1CNo0Q5tLVv8Aln/tv/tkdv4Rx1zWxWMpObuz06dOOFh7ODvJ7v8AP/gv5LTcooopGYUViT+JIHne10mCTVLpDtZbcjyoz/tyn5V+nLe1R/2Lf6p82uXx8k/8uNkzRxfR34d//HQe60F8ltZaFPU9egk8U2drp8MmpXFrFM7w2pBEch2qu9iQq8F+pz7HNXP7J1TVfm1m+8iA/wDLjYOygj0eXh2/4DsH1p+k2lvBreoraQRQW9tFDapHEgVVIDSHAH/XRfyrcpI3rT5OWMeiWvrr+pXsrG0062W2sraK3gXpHEgUfpWd4iupktItPs3KX2oP9nidesa4y8n/AAFQSPfaO9bNYGjf8TbVrvXG5gGbSx/65q3zuP8AfcfiqKe9Mxhu5voZniS2g0+98I2sCrFbwXqoi9lVUIH6VneAbGPUdBv/ABNPd3cH9rX1xe/u5igWIMVTP/AEFaXje2gvNT8M29zBHPC+oYeOVAysNp4IPBroE8P6LHp7aemkWC2THc1uLZBGT67cYoi7XOnE3dCi32f/AKUzmvhZAx8Hf2pJv83V7ua/becth2wmT3+RVrtqrWOnWWmW/wBnsLO3tIM58u3iWNc+uAMdhVmnJ3dzhCiiikMKKKKACiiigAooooAQkAEkgAdSayPDw+2C61phzfuDDntAuRH+eWf/AIHTdfdrvyNEhYiS+yJmU8x24/1je2chB7vntW0iLGioihUUAKoGABWlNa3NH7lPzl+X/Bf5DqKKK1MSvf2cWo6fcWU4zFPG0bfQjFYHgO8lm8PfYLo/6XpkrWUw/wBw/Kfptx+VdPXID/iSfEoj7trrlvn28+If1X8yaiWklL5Hfhv3tCpQ6/EvVb/+S3fyR19FFFWcAUUUUAFFFFABRRUc8yW8Ek0hwkalm+gobSV2CTbsiuv+kauT/Bapj/gbf4L/AOhVfqrp0LxWimUYmlJkk9mPOPw6fhVqtqEbQu93qVVfvWWy0CiiitjMKKKKACiiigAqC8t/tVpJDnaxGUb+6w5B/AgVPRSlFSTi+o4txd0VbO4+1WqSkbWPDr/dYcEfgQanqkB9k1Qr0iu/mHtIByPxAz/wE1drijfZ7o0qJJ3WzCiiiqICiiigAooooAK4tP8AirfGhk+9pGhvtT+7Nddz7hf5/WtLxhrE+m6ZHaaf82qag/2e0UdQT1f6KOc/StDQdHg0HRbbToOREvzv3dzyzH6mofvS5ex6FH/Z6Drv4pXUfT7T/RfPsaVFFFWeeFFFFABRRRQAUUUUAHWsHSv+JTfvob8QYM1gx7x5+aP6oTx/slfQ1vVn6vpp1K0URSCG7hcS202M+XIOh9wQSCO4JFTON0a0pLWMtn/V/wCuheoqjpWojUbQu8fk3MTGO4gJyYpB1HuO4PcEHvV6sCZRcXZjJpBDC8rfdRSx/Cq1tGY7ZFb7+Mt/vHk/qadfHckUP/PWQA/Qcn+WPxqG8ultYSxdFOCcucKoHViewFbwj7iXf9P6Z51aa9q3/KrfN9PXa3qMvLiNUkWSURQRrvuJScBF9M+p/wA9qgs7WTU54r67iMVrCQbO0YYx6SOP73oP4fr0isLNtTeO6uUdbKNvMt4ZBhpW/wCesg/9BXt1POAu8zKilmIVQMkk4AFZ1JKWi2X4+Z6FGk8Om5fxJb/3V/KvPuxaCQBknArBbxH9tYxaDaNqTg4NwG2WyH3kwd30QN+FIPD0uonfr96b0dfscQMdsPYrnL/8DJHsKgvkt8Wn5j5PEkdzI0GiWz6pMp2s8TbYIz/tSnj8F3H2pn9g3Wp/Nr98Z4z/AMuNrmKAezc7pPxOD/drdjjjhjWOJFSNRhVUYAHoBTqA57fCrfmRwQQ2sCQW8SRRIMJHGoVVHoAOlSUVFdTra2k1w/3Io2dvoBmglJydluZ2g/vILy6/5+L2ZvqFbywfyQVrVn6FA1toFhDJ/rFgTf7sRlv1JrQpLY1xDTqyttf8Ohi+I7mb7LDplnIUvNRfyEdesSYzJJ/wFc4/2io71q2ttDZ2kNrbxiOGFBHGg6KoGAPyrF0T/ia6ld683MTZtbH/AK4qfmcf77jPuqpW/TInouT+rnJ+Lv8AkN+Fv+wiP/QTXWVyfi7/AJDfhb/sIj/0E11lSt2dWJ/3ej6P/wBKYUUUVRxBRRRQAUUUUAFFFFABUVzcQ2drLc3EixwxIXd26KoGSalrCm/4n+rfZV50yxkDTntPMORH7qpwW98DsRQld2LpxUnd7Lcn0O3mkM+r3kbJdXuCsbdYYRnYnseSx92I7CtiiiulKysRObnK4UUUUEhXL+PLOWTw+NRtRm70uVbyL/gB+YfTbn8q6imyRpLG0cihkcFWU9CD2pSXMrG2GrOhWjVXR/f3XzIbG8i1Cwt7yA5injWRD7EZqxXJeBZHsoNR8PTMTLpVyUTPUwv8yH+f6V1tKD5o3KxdFUa0oLbp5p6p/NWCiiiqOcKKKKACqV2PtN3BZjlc+dL/ALoPA/FsfgDVx2VEZ3ICqMknsKq6ajNHJdyAiS5O/B6qn8I/Ln6k0uXnkoff6f8ABNIe6nPt+ZeooortMQooooAKKKKACiiigAooooAr3tsbq1aNW2yDDRt/dYcg/nTbS4F1bLLt2tyHQ/wsOCPwNWqz5B9i1ASdILohX/2ZOgP4jj6getc1ePK1P5P9P6/yNYe9Hk+a/Uu0UUVBAUUUUAFNd1jRndgqKCWYnAA9adXI+MLmbUrm18KWMhWe/wDnu5F6w2wPzH6t0H5d6Upcqub4ag69RQvZbt9kt39xH4ZRvEWu3Piq4U/ZlzbaYjDpGDhpPqxz+orsqitbaGytIbW3QRwwoERR0AAwKlpRjZFYquq1S8VaK0S7Jbf8HzuwoooqjmCiiigAooooAKKKKACiiigDF1W0ntbsazp8ZknRdlzbr1uYx6f7a8lfXJHfI0bO7gv7SK6tpBJDKu5WH+eD7VZrjvFeqQ+ArK68SAF7BnX7XZpgFpGIAePsGJxuHQjnqOc5wu7o2UlONpbrb/L/AC+703rq4jhuZJ5mCxW8fJPq3J/QD86ybSFtXY6pqOItOTDxRyHAkA5Dvnog6gHqfmPYDkfDfiu5+I8b3GmaWRbwzHzlu5QIhJ23bcs4C4+UAZ7kDg9xH4aS5kWfW7l9UmU7ljkXbbxn/ZiHH4tuPvVVny+4vmcuDpct69TSTbt3XS/rbRdlrq3oh8RSaidmgWZvh0+1yEx2y+4fGX/4ACPcUL4cN8wl167bUmByLfb5dsh9o8nd9XLfhW8AAAAMAUVgdPPb4dPzEVVRQqKFVRgADAApaKKCAooooAKyvEnzaDcQDrclLb/v44T/ANmrVrJ1f97f6RbdmujKw/2URj/6FspPY2w38VPtr92v6Gt0rE8STyvbwaRaOyXepMYQ69YogMySfgvA/wBplrbrA0H/AIml/d6+/Mc3+j2XtAp5Yf77Zb3UJTIhp7z6G3bwRWttFbwII4YkCIi9FUDAA/CpKKKCDk/F3/Ib8Lf9hEf+gmusrk/F3/Ib8Lf9hEf+gmusqVuztxP+70fR/wDpTCiiiqOIKKKKACiiigAoorK1PU5knXTdNVJdSkXd83KQJ/z0f29B1Y+2SAqEHJ2QzVLye4uho+muVupFDTzgZFrGf4v988hR9SeBzp2VnBp9nFaWyBIYl2qP6k9yepPc1DpmmxaZamJGaSV2Mk08n35XPVm/w6AAAcCrtbwjYdSatyR2/Pz/AMgoooqjIKKKKACiiigDkNW/4kvj7StUHy2+pobC4Pbf1jP1PT6CuvrB8ZaW+reF7yGHP2mJRPbkdRInzDHucY/Grugaomt6DZaimP38QZgOzdGH4EEVEdJNfM76/wC9w1Or1j7r/OP4XX/bpo0UUVZwBRRUc8yW0DzSHCIMmhtJXYJNuyKt5/pVxHYj7jfvJ/8AcB4H/Ajx9Aa0aqafA8cTzTjFxOd8g/u+i/gOPzPerda0INLme7/pFVGvhWyCiiitzMKKKKACiiigAooooAKKKKACo7iBLmB4ZBlHGDjr9R71JRSaTVmNNp3RSspnZXgnObiE7XP94dm/EfrkdqtVVvonRkvYFLTRDDIP+Wid1+vce/1qeKVJ4kljYMjjcpHcVxpOL5H/AEjWaTXOuv5j6KKKZmVdS1C30rTbi/un2wQIXY/0HuelYHgzT7hobnxBqSY1HVGEm0/8sof4EH4c/l6VV1n/AIqrxXDoKfNpunFbnUCOjv8AwRf1P+Irs6he9K/RHoT/ANmw6p/anq/KPRfPd+VgoooqzzwooooAKKKKACiiigAooooAKKKKAEbO07QC2OATgVyFjfRePrHVdM1LRIG0uG6ksbgvdFhK8ZGSgCgkBsc5ByK6PV9Rj0jRb7Upv9XaW7zt7hVJ/pXOeBYR4e+GenT3xIka3N7cn+IvKTIR7nLYx9BVLYCovgG38LRLP4RWe0C/662jmLGX/aG8kFvZuD22nmtaw8RTfZhNeQ+fbAlWu7WNvkI6iWI/PGR3+8B3xXSAkqCQQSOh7Vl3+jmW5N/p0wtNQwAZNuUmA6LIv8Q9DwR2PY4Tp3d0dlPERlFU6quls/8Ag/8AD+j6Xra5gvIFntpo5oXGVeNgwP4ipa5aNLebUPLkEmh62/P7pgY7nHcZG2UfUBx7Vof2pe6d8ur2u6If8vlopZPqycsn/jw9xWV7bhLDXf7t/Lr8uj+WvkbNFRwXEN1Ak9vNHNE4yrxsGUj2IqSmcrTTswooooAKyW/feLIx2tbJifrK4A/9FGtasnTD5ur6xcnoJY7dT7JGG/8AQnakzajopy7L82l+TZD4kmkmhg0a2cpc6kxjLqeY4RzK/twdoP8Aeda2YYY7eCOCFFSKNQiIowFAGABWHoA/tO7uvED8pc/ubLPa3UnDD/fbLfTZ6Vv0yJ6e52/MKKKKCDk/F3/Ib8Lf9hEf+gmusrk/F3/Ib8Lf9hEf+gmusqVuztxP+70fR/8ApTCiiiqOIKKKKACiorm6t7K2e4upo4YYxlpJGAAH1rH36hr3ywedp+mHrMwKzzj/AGQeY19z83oB1oSb2LjTcld6LuS3mqT3N0+m6OEkulOJ7hhmK1+v95/RB9TgdbumaZBpdu0cReSSRt808hy8r/3mP9OgHAwKms7K20+1S2tIUhhT7qKP19z796nreMLBOorcsNvz9f8AIKKKKoyCiiigAooooAKKKKACuQ8J/wDEo17W/DjcRxy/bLQf9MpOoHsrcfjXX1yHiz/iUa/oniJeI45fsV2f+mUnQn2VufxqJ6Wl2O/A/vOfD/zrT/EtV9+q+Z19FFFWcAVRI+3X+zrb2zAt6PJ2H0Xr9celSXs7xhIIMG5mO2PPIX1Y+w/wHerFtbpa26Qx52qOp6k9yfcnmiMfaSt0W/8Al/X6mi9yPN1e3+f9foS0UUV2GIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVm4/s67x0tLh+PSOQ9vo38/rWlTJoo54XilUMjjDA9xWVWnzrTdbFwlyuz2YVj+JtbXQNEluwvmXDERW0XUyStwox+v0Bq5aySQymyuWLSKMxSH/lon/xQ7/n3rl7H/irPGUmpH5tK0djDa+ks/wDE/uF6D8CK5HNtWW/5HbhaEed1KusI6vz7L5vTy17Gx4U0RtD0ZY7hvMvrhjPdynkvK3J59un4VuUUVaSSsjlrVZVqjqT3YUUUUzMKKKKACiiigAooooAKKKKACiiigDO1rQtP8Q6e9hqcc0tq4IeOO4kiDj0bYwyPY1Ufwho8slq8yXsotJElhjl1C4eNXQ5U7C5U4I4yDW5RTuwCiiikBXvbG11G2a3vIEmiPO1h0PYj0I7EcisryNX0f/j2ZtVsh/yxlcC4jH+y54f6Ng/7RrdopSinuaQqOKtuuxzVvHpmpXMsuk3UmnakPmmiVdjZ/wCmkLcH/exn0arX9q3enfLrFriMf8vlqC0X1ZfvJ+o/2qv3+lWOpqgu7dZGQ5jkBKvGfVXGGU/QiqH2LWtP/wCPK9jv4R0gvvlcfSVR/wChKT71i6TWx0qrCorS19d/lL/NWRqwzRXMKTQSpLE4yrowYMPYipK5Gaa1tJmnkhvfD10xy8vlh7aQ+rlcp+J2t7itC28Q+XCJL9Yntz0v7JvNgPu2MlPxyP8AaqL23FLCyavT1/P5dH8nfyN6uNMr3mi22mW7ss+t3E8sjqeY7YuWdvb5CqA+riuj1LUI7fQbvUIZFdI7d5UdGyGwpIwe9Y3g2032g1Vx8skMdtZg/wANtGMKR/vnL/Qr6UdQprkoyk+6/C/+aOliiSGJIokCRooVVUYAA4AFPoopnKFFFFAHJ+Lv+Q34W/7CI/8AQTXWVyfi7/kN+Fv+wiP/AEE11lSt2duJ/wB3o+j/APSmFFZ13r2l2U3kTXkZuO1vFmSU/RFy36VX+36xfcWGmC1jP/LfUG2/iI1yx+jFapJvY5lSm1d6Lz0NhmVFLMQqgZJJwAKxm11r1jFodt9uOcG5LbLdP+B4+f6ID7kU5fDsdywk1i5l1JwciOUBYFPtEOD/AMC3H3rZVQqhVACgYAHatFTfUL04f3n+H+b/AAMm20MNcpearcG/vEO6Pcu2KE/9M05wf9o5b3rXoorVJLYznOU3dhRRRQSFFFFABRRRQAUUUUAFFFFABWbr+lJregXunPj9/EVUns3VT+BANaVFDV1Zl06kqc1OO6d0YXg7VX1fwvZzzZ+0xr5E4PUSJ8pz7nGfxrZnnjtoHmlbCIMk1ymkf8STx7quln5bfUkF/b+m/pIPqTz9BXQQj+0blblv+PWI5hH/AD0b+/8AQdvz9Kzi5NKK3/rU7MZSiqzmtIStJej1t8ndfIlsYJNz3dwuLiUfd/55p2X+p9/wq7RRXbCChHlRwTk5O7CiiirJCiiigAooooAKKKKACiiigAooooAKKKKAGSu0cTusbSMqkhExlvYZIGfqRXPad4xi1XTG1Kz0fVJbNWdTKqRnJRirYXfubBBHAOccZq74q1caD4U1XVcgNa2skiZ7uFO0ficCuQktdY8G/CWKKOa3jSwsA10UUiYDGZChJK78liMgjNADPiTo998SPh7ZyeEr2OZJZVuFG/yxPHtYbcnocnocdDnpVXwN4O8VaR4Zt9Km8VNZXFtu32qWiSiMMxIw55YHPX1yO1d/4asdP03wzptppUTR2CW6GBX+9tIzlvc5yfc1avLRpts0DCO5j/1bnofVT7H/AOvWFeDlG8Tpw1d0paW17pNfc01+pzX/AAjnij/odZf/AAXxf40f8I54o/6HWX/wXxf410trdC5RsqY5UO2SNuqH/D0Pep65lCLV1f72dEsfXi7NR/8AAIf/ACJyf/COeKP+h1l/8F8X+NH/AAjnij/odZf/AAXxf411lFP2a8/vYv7Rrdo/+AQ/+ROT/wCEc8Uf9DrL/wCC+L/Gj/hHPFH/AEOsv/gvi/xrrKKPZrz+9h/aNbtH/wAAh/8AInJ/8I54o/6HWX/wXxf40f8ACOeKP+h1l/8ABfF/jXWUUezXn97D+0a3aP8A4BD/AOROT/4RzxR/0Osv/gvi/wAaP+Ec8Uf9DrL/AOC+L/Gusoo9mvP72H9o1u0f/AIf/InJ/wDCOeKP+h1l/wDBfF/jR/wjnij/AKHWX/wXxf411lFHs15/ew/tGt2j/wCAQ/8AkTk/+Ec8Uf8AQ6y/+C+L/Gj/AIRzxR/0Osv/AIL4v8a6yij2a8/vYf2jW7R/8Ah/8icn/wAI54o/6HWX/wAF8X+NH/COeKP+h1l/8F8X+NdZRR7Nef3sP7Rrdo/+AQ/+ROT/AOEc8Uf9DrL/AOC+L/Gj/hHPFH/Q6y/+C+L/ABrrKKPZrz+9h/aNbtH/AMAh/wDInJ/8I54o/wCh1l/8F8X+NH/COeKP+h1l/wDBfF/jXWUUezXn97D+0a3aP/gEP/kTk/8AhHPFH/Q6y/8Agvi/xo/4RzxR/wBDrL/4L4v8a6yij2a8/vYf2jW7R/8AAIf/ACJyf/COeKP+h1l/8F8X+NZk/wAPNSuJzcN4n2XB6zQ6dHFIf+BqQf1rv6KHSi/+HZUczxEdY8q/7ch/8ieG+OvhF4pvdOt4dG1tr+PzS09tKfIBPGH6kMRznPP1rrtM8JeOtO0OxtF8XRNLDbpGyNbLhSABgMQSwHTJGTVrwze3kfj7VLCW8uZrG5sxdWkU0rSCIJPJE20sScMAjde9P8R315qPjDw9otndz29rLPNLctbyFGkjiT5hkchd7IvBHO70FU6acVDojP6/W9q60rNve8Ytfday+RSbRviSpOdetHXtsK5/IxD+dJ/ZnxDHXV2P0SH/AAr0NEEcaoCxCgAbmJP4k8mnVn7CPn95v/atT/n3D/wCP+R51/ZXxGb7usoP98RD+SGpodC+Ijn9/wCJbSIf7CBz+sYrv6KPYx8/vB5pV/kh/wCAR/yPDPHvwx8f69rWmXVtr6X6wgASMwtvsz5J3AL17cjn24rtZ/AOuXePtfjS7m4wyNbjY31Tdt/StP4lXsen/DvWbh0V38jy4Qw6SuQiEe4ZgfwrO0/RvDWpaO/h+yW1u72309VmvIz8yuV2qxkHO5irHPXg+1aunGUUn0Oenjq1Kcpwtd/3Y/grWXyLFn4O13T4fKsvFa20f9yHS4UH5CrH/COeKP8AodZf/BfF/jXUwxCGCOIEkIoXJ6nAp9R7OP8ATZo8yrt3aj/4BD/5E5P/AIRzxR/0Osv/AIL4v8aP+Ec8Uf8AQ6y/+C+L/Gusoo9mvP72L+0a3aP/AIBD/wCROT/4RzxR/wBDrL/4L4v8aP8AhHPFH/Q6y/8Agvi/xrrKKPZrz+9h/aNbtH/wCH/yJyf/AAjnij/odZf/AAXxf40f8I54o/6HWX/wXxf411lFHs15/ew/tGt2j/4BD/5E5P8A4RzxR/0Osv8A4L4v8aP+Ec8Uf9DrL/4L4v8AGusoo9mvP72H9o1u0f8AwCH/AMicn/wjnij/AKHWX/wXxf40f8I54o/6HWX/AMF8X+NdZRR7Nef3sP7Rrdo/+AQ/+ROT/wCEc8Uf9DrL/wCC+L/Gj/hHPFH/AEOsv/gvi/xrrKKPZrz+9h/aNbtH/wAAh/8AInJ/8I54o/6HWX/wXxf40f8ACOeKP+h1l/8ABfF/jXWUUezXn97D+0a3aP8A4BD/AOROT/4RzxR/0Osv/gvi/wAaP+Ec8Uf9DrL/AOC+L/GusqlcSyXMxs7VipH+umH/ACzHoP8AaP6dfTKlGK7/AHsqOOrye0f/AACH/wAieK/ED4ceNvFGt2UthrY1OO1HlmWTbbCBySSRt68YyRz2r20TRaPoqS6leRrHawL59zJhF4HLHsKtQwx28KxRKFRRgAVxHisPq3xD8K6DN/yDgJtRnjPSZ4tojU+oVm3Y+npXZSg4xSe5xVqntJuX+S/BaL5G8niVHtDff2XqSaeF3m6kjVRs/v7C3mYxz93PtWhpWpW+s6Vbalab/s1ygkiLrtLIejY9CMEexqW8eBbSQXLYiceWeM53HaB9SSB+NLZ2kNhZW9nbrtggjWKNfRVGAPyFaGRNRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBieJvDcXijTvsFzqF5bWpZWkjtvLHmFWDDcXRjjKjgYzUd94Vh1aNINW1K/1CzDh2tJjEkUhByN4jRSwzg4Jwccg1v0UAAAAAAwB0AooooAqXdo7uLm2IS5QYBPRx/db29+381tbpbpDhSkiHbJG33kPof8AHvVqql3ZmVxcW7CO6QYDHo4/ut6j+Vc1Wk0+eHzX9dTWMlJcsvk/66Fiiq9rdrcbkZDHPHxJE3Vff3HoasVmmmromUXF2YUUUUxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZ2uamdI0i4u0trm5mVG8qG2t3mZ3wSBhASASOp4960aKYHESaVeR+JvDVzpUU32caXPY3FxJGUMSZiKsVYAhjtbAI69sZpNFH2z4k314LG+t7Sz02Gxsmms5Y0cFi8hDMoHaMe+K7iincAoooqQCiiigDjfG1nqurXmiWdrpFzc2FtqMV5dypLCoZYwWVQGcE/Ptzx2rrY4Y/Oa58rZNIio5PXAyQD24LN+dS0U7gFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooqjLPLdStbWbbdpxLPjIT2X1b+Xf0pOVioxchZ55J5jaWhxIP9bLjIiH9W9B+J97dvbx2sKxRDCj1OST3JPc0W9vFawiKJcKPfJJ7knufepa3pUuX3pb/AJf1+ITmrcsdvzCsvVtDt9Wms7kyy297ZOXtrqEjfHkYYcggqw4II9O4BGpRWxmUIdOkMqS312908ZyilAiKfXaOp+pOO2Kv0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFa6s1udrq5inT/Vyr1X2PqPaore7Yy/ZrpRFc4yAPuyD1U/06j9avVDc20V3F5cy5Gcgg4Kn1B7GsKlG75ob/n/AF3NYzVuWW35f12H0VR+0S2BCXjb4Oi3OOns/p9en0q8DkZHSsVK+nUUoOPoFFFFMkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKCQASTgDvUVxcRWsXmTPtGcDuSfQDufaqwtpdQIe8Ux2/VbbPLe7//ABPT1zSu2+WOr/rcuMLrmlohPMl1I7bdmitP4phw0nsnoP8Aa/L1q/FFHBEsUSBEUYCjoKeAAMDgUV0U6Shq9WTOd9FogooorUgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEIBBBAIPUGqBtJrHLWQ3w97ZjgD/AHD2+h4+laFFZ1KcZ77lxm4+hVt7qK6VvLJDKcOjDDIfQip6hubKK5ZZMtHMowksZwy/4j2PFVzdTWfy3ygx9rmMfL/wIdV+vI9xXNJSp/Ht3/z7fkXyqfwfd/W/5l6ikVldQysGUjIIOQaWmZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUNxdQ2qhpXwWOFUDLMfQAck0NpK7Gk27ImqpLekym3tI/PnHDc4SP8A3j2+nWmeVd33+tLWtuf4FP7xx7kfd+g59xV2GGK3iWKFFRF6KoojCc/Jfj/Xr9xdow31f4f16feQW9iI5ftE7+fc4xvIwF9lHYfr6mrdFFdUIRgrRM5ScndhRRRVEhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBRbTvKcyWMn2dyclMZjY+69vqMfjTRfmEhL6I27dA+cxt9G7fQ4rQpCAwIYAg8EHvXPKgt4afl93+Rr7S/x6/n/XqN6jIoqmdOMJLWMxt/+mZG6M/8B7fgRSfbZbfi9t2jA/5ax5dP05H4jHvWTbh8at+X9eo+Tm+B3/P+vQu0UyKWOaMSRSLIh6MpyDT6ad9UZtW0YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUFxeW9sQssgDt91ANzN9FHJpNpK7GouTsieo5p4raMyTSLGnqxxVbff3XEUa2sf9+X5nP0UcD8T+FTQafDDJ5zbpp/+esp3N+HYfhinFTn8K+b/wAt/wAvUvljH4n8l/Vv62IfNu7vi3j+zxH/AJbTL8x/3U/qcfQ1PbWMNsxkG6SZhhpZDuY/j2HsMCrNFbQoxi7vV/1sS6jtaOiCiiitjMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCpLptvJIZUDQTHrJCdpP17H8Qaj26jb9DFdp7/u3/wAD+lX6KxlQg9Vo/L+rGiqy2evr/VzP/tOBCFuRJat/03XaP++vun86uKyuoZSGU9CDnNSEAjBGRVJtKtNxeJGgc9WgYpn6gcH8azdKotmn+H9fgO9N+X4/1+Jaoqn9mv4v9TeJKP7s8fP/AH0uP5Gj7Texf66wZveCQMPybaahtr4otfj+Vx+zv8LT/rzsXKKpf2rar/rjJAf+m0bIPzIx+tWIrmC4GYZ45B/sOD/KkqkW7JidOcdWiWiiiqICiiigAooooAKKKKACiiigAoqtLqFlCdsl1Crf3S4z+VR/2kj/AOot7qb/AHYio/NsD9aj2kL2uWqU3rYu0VT36jL9y3hgHrLJuP8A3yvH60v2CeX/AI+b6Vh/dhAjX9Pm/WqXM/hi/wAvz1/AfIl8TX5/kTT3MFsu6eaOMdi7AZquL6Sb/j0tJZR/fceWn5nk/gDU8FhaWzb4oEDnq55Y/VjzVmrVGb+J29P83/kLmgtlf1/4H+ZQ+yXc/wDx83flr/zztht/Njz+WKsW9nb2oPkRKhb7zdWb6nqfxqeitYUYRd0tSZVJNW6BRRRWpAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV5rCzuDma0gkPq0YJooqZRjJWkrjUnHVMh/sm0H3BNF/1zndR+QOKP7Ocf6u/u0/4Erf+hKaKKz9hS6Rt6afkX7afV39dQ+x3g+7qLn/AH4kP8gKPs+ojpfQH/etj/8AFUUUvq9Pz+9/5h7WXl9y/wAg8jU/+fy0/G1b/wCOUeRqXe9tfwtW/wDi6KKPq9Pz+9/5h7WXl9y/yD7Nfnrfxj/dt8fzY0fYrk/e1Ocf7kcY/mpooo+rw8/vf+Ye1l5fcv8AIP7MVv8AWXd4/wD22K/+g4pf7IsD9+3Ev/XZjJ/6ETRRVewpfyoPbVO5ZighgGIYo4x6IoH8qkoorRJJWRDberCiiimIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/2Q==)\n \n\nClaim — \\(\\overline{LM} \\parallel \\overline{AQ}\\) . \n\nProof. Both are perpendicular to \\(\\overline{MHQ}\\) . \n\nClaim — \\(LA = LQ\\) .\n\n\n\nProof. Let \\(N\\) and \\(T\\) be the midpoints of \\(\\overline{HQ}\\) and \\(\\overline{AH}\\) , and \\(O\\) the circumcenter. As \\(\\overline{MT}\\) is a diameter, we know \\(LTNM\\) is a rectangle, so \\(\\overline{LT}\\) passes through \\(O\\) . Since \\(\\overline{LOT} \\perp \\overline{AQ}\\) and \\(OA = OQ\\) , the proof is complete. \\(\\square\\) \n\nTogether these two claims solve the problem.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "3. ", "solution_match": "## §1.3 IMO 2015/3, proposed by Danylo Khilko and Mykhailo Plotnikov (UKR) \n"}} -{"year": "2015", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Triangle \\(ABC\\) has circumcircle \\(\\Omega\\) and circumcenter \\(O\\) . A circle \\(\\Gamma\\) with center \\(A\\) intersects the segment \\(BC\\) at points \\(D\\) and \\(E\\) , such that \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) are all different and lie on line \\(BC\\) in this order. Let \\(F\\) and \\(G\\) be the points of intersection of \\(\\Gamma\\) and \\(\\Omega\\) , such that \\(A\\) , \\(F\\) , \\(B\\) , \\(C\\) , and \\(G\\) lie on \\(\\Omega\\) in this order. Let \\(K = (BDF) \\cap \\overline{AB} \\neq B\\) and \\(L = (CGE) \\cap \\overline{AC} \\neq C\\) and assume these points do not lie on line \\(FG\\) . Define \\(X = \\overline{FK} \\cap \\overline{GL}\\) . Prove that \\(X\\) lies on the line \\(AO\\) .", "solution": "Since \\(\\overline{AO} \\perp \\overline{FG}\\) for obvious reasons, we will only need to show that \\(XF = XG\\) , or that \\(\\angle KFG = \\angle LGF\\) . \n\nLet line \\(FG\\) meet \\((BDF)\\) and \\((CGE)\\) again at \\(F_{2}\\) and \\(G_{2}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — Quadrilaterals \\(FBDF_{2}\\) and \\(G_{2}ECG\\) are similar, actually homothetic through \\(\\overline{FG} \\cap \\overline{BC}\\) . \n\nProof. This is essentially a repeated application of being \"anti- parallel\" through \\(\\angle (FG, BC)\\) . Note the four angle relations \n\n\\[\\angle (FD,FG) = \\angle (BC,GE) = \\angle (G_{2}C,FG)\\Rightarrow \\overline{FD}\\parallel \\overline{G_{2}C\\] \\[\\angle (F_{2}B,FG) = \\angle (BC,FD) = \\angle (GE,FG)\\Rightarrow \\overline{F_{2}B}\\parallel \\overline{GE\\] \\[\\angle (FB,FG) = \\angle (BC,GC) = \\angle (G_{2}E,FG)\\Rightarrow \\overline{FB}\\parallel \\overline{G_{2}E\\]\n\n\n\n\\[\\angle (F_{2}D,F G) = \\angle (B C,F B) = \\angle (G C,F G)\\Rightarrow \\overline{{F_{2}D}}\\parallel \\overline{{G C}}.\\] \n\nThis gives the desired homotheties. \n\nTo finish the angle chase, \n\n\\[\\angle G F K = \\angle F_{2}B K = \\angle F_{2}B F - \\angle A B F = \\angle F_{2}D F - \\angle A B F\\] \\[\\qquad = \\angle F_{2}D F - \\angle G C A = \\angle G C G_{2} - \\angle G C A\\] \\[\\qquad = \\angle L C G_{2} = \\angle L G F\\] \n\nas needed. (Here \\(\\angle A B F = \\angle G C A\\) since \\(A F = A G\\) .)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2015/4, proposed by Silouanos Brazitikos and Evangelos Psychas (HEL) \n"}} +{"year": "2015", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(ABC\\) be an acute triangle with \\(AB > AC\\) . Let \\(\\Gamma\\) be its circumcircle, \\(H\\) its orthocenter, and \\(F\\) the foot of the altitude from \\(A\\) . Let \\(M\\) be the midpoint of \\(\\overline{BC}\\) . Let \\(Q\\) be the point on \\(\\Gamma\\) such that \\(\\angle HQA = 90^\\circ\\) and let \\(K\\) be the point on \\(\\Gamma\\) such that \\(\\angle HKQ = 90^\\circ\\) . Assume that the points \\(A\\) , \\(B\\) , \\(C\\) , \\(K\\) and \\(Q\\) are all different and lie on \\(\\Gamma\\) in this order. Prove that the circumcircles of triangles \\(KQH\\) and \\(FKM\\) are tangent to each other.", "solution": "Letr. \n\nLet \\(L\\) be on the nine- point circle with \\(\\angle HML = 90^{\\circ}\\) . The negative inversion at \\(H\\) swapping \\(\\Gamma\\) and nine- point circle maps \n\n\\[A\\longleftrightarrow F,\\quad Q\\longleftrightarrow M,\\quad K\\longleftrightarrow L.\\] \n\nIn the inverted statement, we want line \\(ML\\) to be tangent to \\((AQL)\\) . \n\n![md5:a2ad515233044656be8ba52efc9db81b](a2ad515233044656be8ba52efc9db81b.jpeg)\n \n\nClaim — \\(\\overline{LM} \\parallel \\overline{AQ}\\) . \n\nProof. Both are perpendicular to \\(\\overline{MHQ}\\) . \n\nClaim — \\(LA = LQ\\) .\n\n\n\nProof. Let \\(N\\) and \\(T\\) be the midpoints of \\(\\overline{HQ}\\) and \\(\\overline{AH}\\) , and \\(O\\) the circumcenter. As \\(\\overline{MT}\\) is a diameter, we know \\(LTNM\\) is a rectangle, so \\(\\overline{LT}\\) passes through \\(O\\) . Since \\(\\overline{LOT} \\perp \\overline{AQ}\\) and \\(OA = OQ\\) , the proof is complete. \\(\\square\\) \n\nTogether these two claims solve the problem.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "3. ", "solution_match": "## §1.3 IMO 2015/3, proposed by Danylo Khilko and Mykhailo Plotnikov (UKR) \n"}} +{"year": "2015", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Triangle \\(ABC\\) has circumcircle \\(\\Omega\\) and circumcenter \\(O\\) . A circle \\(\\Gamma\\) with center \\(A\\) intersects the segment \\(BC\\) at points \\(D\\) and \\(E\\) , such that \\(B\\) , \\(D\\) , \\(E\\) , and \\(C\\) are all different and lie on line \\(BC\\) in this order. Let \\(F\\) and \\(G\\) be the points of intersection of \\(\\Gamma\\) and \\(\\Omega\\) , such that \\(A\\) , \\(F\\) , \\(B\\) , \\(C\\) , and \\(G\\) lie on \\(\\Omega\\) in this order. Let \\(K = (BDF) \\cap \\overline{AB} \\neq B\\) and \\(L = (CGE) \\cap \\overline{AC} \\neq C\\) and assume these points do not lie on line \\(FG\\) . Define \\(X = \\overline{FK} \\cap \\overline{GL}\\) . Prove that \\(X\\) lies on the line \\(AO\\) .", "solution": "Since \\(\\overline{AO} \\perp \\overline{FG}\\) for obvious reasons, we will only need to show that \\(XF = XG\\) , or that \\(\\angle KFG = \\angle LGF\\) . \n\nLet line \\(FG\\) meet \\((BDF)\\) and \\((CGE)\\) again at \\(F_{2}\\) and \\(G_{2}\\) . \n\n![md5:c60ce49f3b2b98d97f3d046f5df0f67e](c60ce49f3b2b98d97f3d046f5df0f67e.jpeg)\n \n\nClaim — Quadrilaterals \\(FBDF_{2}\\) and \\(G_{2}ECG\\) are similar, actually homothetic through \\(\\overline{FG} \\cap \\overline{BC}\\) . \n\nProof. This is essentially a repeated application of being \"anti- parallel\" through \\(\\angle (FG, BC)\\) . Note the four angle relations \n\n\\[\\angle (FD,FG) = \\angle (BC,GE) = \\angle (G_{2}C,FG)\\Rightarrow \\overline{FD}\\parallel \\overline{G_{2}C\\] \\[\\angle (F_{2}B,FG) = \\angle (BC,FD) = \\angle (GE,FG)\\Rightarrow \\overline{F_{2}B}\\parallel \\overline{GE\\] \\[\\angle (FB,FG) = \\angle (BC,GC) = \\angle (G_{2}E,FG)\\Rightarrow \\overline{FB}\\parallel \\overline{G_{2}E\\]\n\n\n\n\\[\\angle (F_{2}D,F G) = \\angle (B C,F B) = \\angle (G C,F G)\\Rightarrow \\overline{{F_{2}D}}\\parallel \\overline{{G C}}.\\] \n\nThis gives the desired homotheties. \n\nTo finish the angle chase, \n\n\\[\\angle G F K = \\angle F_{2}B K = \\angle F_{2}B F - \\angle A B F = \\angle F_{2}D F - \\angle A B F\\] \\[\\qquad = \\angle F_{2}D F - \\angle G C A = \\angle G C G_{2} - \\angle G C A\\] \\[\\qquad = \\angle L C G_{2} = \\angle L G F\\] \n\nas needed. (Here \\(\\angle A B F = \\angle G C A\\) since \\(A F = A G\\) .)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2015/4, proposed by Silouanos Brazitikos and Evangelos Psychas (HEL) \n"}} {"year": "2015", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Solve the functional equation \n\n\\[f(x + f(x + y)) + f(xy) = x + f(x + y) + yf(x)\\] \n\nfor \\(f: \\mathbb{R} \\to \\mathbb{R}\\) .", "solution": "\\) \n\nThe answers are \\(f(x)\\equiv x\\) and \\(f(x)\\equiv 2 - x\\) . Obviously, both of them work. \n\nLet \\(P(x,y)\\) be the given assertion. We also will let \\(S = \\{t\\mid f(t) = t\\}\\) be the set of fixed points of \\(f\\) \n\nFrom \\(P(0,0)\\) we get \\(f(f(0)) = 0\\) \n\nFrom \\(P(0,f(0))\\) we get \\(2f(0) = f(0)^{2}\\) and hence \\(f(0)\\in \\{0,2\\}\\) \n\nFrom \\(P(x,1)\\) we find that \\(x + f(x + 1)\\in S\\) for all \\(x\\) \n\nWe now solve the case \\(f(0) = 2\\) \n\nClaim If \\(f(0) = 2\\) then \\(f(x)\\equiv 2 - x\\) \n\nProof. Let \\(t\\in S\\) be any fixed point. Then \\(P(0,t)\\) gives \\(2 = 2t\\) or \\(t = 1\\) ; so \\(S = \\{1\\}\\) . But we also saw \\(x + f(x + 1)\\in S\\) , which implies \\(f(x)\\equiv 2 - x\\) . \\(\\square\\) \n\nHenceforth, assume \\(f(0) = 0\\) \n\nClaim If \\(f(0) = 0\\) then \\(f\\) is odd. \n\nProof. Note that \\(P(1, - 1)\\Rightarrow f(1) + f(- 1) = 1 - f(1)\\) and \\(P(- 1,1)\\Rightarrow f(- 1)+\\) \\(f(- 1) = - 1 + f(1)\\) , together giving \\(f(1) = 1\\) and \\(f(- 1) = - 1\\) . To prove \\(f\\) odd we now obtain more fixed points: \n\nFrom \\(P(x,0)\\) we find that \\(x + f(x)\\in S\\) for all \\(x\\in \\mathbb{R}\\) \n\nFrom \\(P(x - 1,1)\\) we find that \\(x - 1 + f(x)\\in S\\) for all \\(x\\in \\mathbb{R}\\) \n\nFrom \\(P(1,f(x) + x - 1)\\) we find \\(x + 1 + f(x)\\in S\\) for all \\(x\\in \\mathbb{R}\\) \n\nFinally \\(P(x, - 1)\\) gives \\(f\\) odd. \n\nTo finish from \\(f\\) odd, notice that \n\n\\[P(x, - x)\\Rightarrow f(x) + f(- x^{2}) = x - xf(x)\\] \\[P(- x,x)\\Rightarrow f(- x) + f(- x^{2}) = - x + xf(- x)\\] \n\nwhich upon subtracting gives \\(f(x)\\equiv x\\)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2015/5, proposed by Dorlir Ahmeti (ALB) \n"}} {"year": "2015", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "The sequence \\(a_1, a_2, \\ldots\\) of integers satisfies the conditions: \n\n(i) \\(1 \\leq a_j \\leq 2015\\) for all \\(j \\geq 1\\) , \n\n(ii) \\(k + a_k \\neq \\ell + a_\\ell\\) for all \\(1 \\leq k < \\ell\\) . \n\nProve that there exist two positive integers \\(b\\) and \\(N\\) for which \n\n\\[\\left|\\sum_{j = m + 1}^{n}(a_{j} - b)\\right| \\leq 1007^{2}\\] \n\nfor all integers \\(m\\) and \\(n\\) such that \\(n > m \\geq N\\) .", "solution": "give two equivalent solutions with different presentations, one with \"arrows\" and the other by \"juggling\". \n\n\\(\\P\\) First solution (arrows). Consider the map \n\n\\[f\\colon k\\mapsto k + a_{k}.\\] \n\nThis map is injective, so if we draw all arrows of the form \\(k\\mapsto f(k)\\) we get a partition of \\(\\mathbb{N}\\) into one or more ascending chains (which skip by at most 2015). \n\nThere are at most 2015 such chains, since among any 2015 consecutive points in \\(\\mathbb{N}\\) every chain must have an element. \n\nWe claim we may take \\(b\\) to be the number of such chains, and \\(N\\) to be the largest of the start- points of all the chains. \n\nConsider an interval \\(I = [m + 1,n]\\) . We have that \n\n\\[\\sum_{m< j\\leq n}a_{j} = \\sum_{\\mathrm{chain~}c}[\\min \\{x > n,x\\in c\\} -\\min \\{x > m,x\\in c\\} ].\\] \n\nThus the upper bound is proved by the calculation \n\n\\[\\sum_{m< j\\leq n}(a_{j} - b) = \\sum_{\\mathrm{chain~}c}[(\\min \\{x > n,x\\in c\\} -n) - (\\min \\{x > m,x\\in c\\} -m)]\\] \\[\\qquad = \\sum_{\\mathrm{chain~}c}[(\\min \\{x > n,x\\in c\\} -n)] - \\sum_{\\mathrm{chain~}c}[\\min \\{x > m,x\\in c\\} -m]\\] \\[\\qquad \\leq (1 + 2015 + 2014 + \\dots +(2015 - (b - 2))) - (1 + 2 + \\dots +b)\\] \\[\\qquad = (b - 1)(2015 - b)\\] \n\nfrom above (noting that \\(n + 1\\) has to belong to some chain). The lower bound is similar. \n\n\\(\\P\\) Second solution (juggling). This solution is essentially the same, but phrased as a juggling problem. Here is a solution in this interpretation: we will consider several balls thrown in the air, which may be at heights 0, 1, 2, ..., 2014. The process is as follows:\n\n\n\n- Initially, at time \\(t = 0\\) , there are no balls in the air. \n\n- Then at each integer time \\(t\\) thereafter, if there is a ball at height 0, it is caught; otherwise a ball is added to the juggler's hand. This ball (either caught or added) is then thrown to a height of \\(a_{t}\\) . \n\n- Immediately afterwards, all balls have their height decreased by one. \n\nThe condition \\(a_{k} + k \\neq \\ell + a_{\\ell}\\) thus ensures that no two balls are ever at the same height. In particular, there will never be more than 2016 balls, since there are only 2015 possible heights. \n\nWe claim we may set. \n\n\\(b =\\) number of balls in entire process \n\n\\(N =\\) last moment in time at which a ball is added. \n\nIndeed, the key fact is that if we let \\(S_{t}\\) denote the sum of the height of all the balls just after time \\(t + \\frac{1}{2}\\) , then \n\n\\[S_{t + 1} - S_{t} = a_{t + 1} - b\\] \n\nAfter all, at each time step \\(t\\) , the caught ball is thrown to height \\(a_{t}\\) , and then all balls have their height decreased by 1, from which the conclusion follows. Hence the quantity in the problem is exactly equal to \n\n\\[\\left|\\sum_{j = m + 1}^{n}(a_{j} - b)\\right| = |S_{m} - S_{n}|.\\] \n\nFor a fixed \\(b\\) , we easily have the inequalities \\(0 + 1 + \\dots +(b - 1) \\leq S_{t} \\leq 2014 + 2013 + \\dots +(2015 - b)\\) . Hence \\(|S_{m} - S_{n}| \\leq (b - 1)(2015 - b) \\leq 1007^{2}\\) as desired.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2015-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2015/6, proposed by Ross Atkins and Ivan Guo (AUS) \n"}} diff --git a/IMO/segmented/en-IMO-2016-notes.jsonl b/IMO/segmented/en-IMO-2016-notes.jsonl index c924f58f4c401030b9f85af4abe63ee902e648ea..759db1e67ad86efc136eff3f5c6e491b35427e3b 100644 --- a/IMO/segmented/en-IMO-2016-notes.jsonl +++ b/IMO/segmented/en-IMO-2016-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2016", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "In convex pentagon \\(A B C D E\\) with \\(\\angle B > 90^{\\circ}\\) , let \\(F\\) be a point on \\(\\overline{{A C}}\\) such that \\(\\angle F B C = 90^{\\circ}\\) . It is given that \\(F A = F B\\) \\(D A = D C\\) \\(E A = E D\\) , and rays \\(\\overline{{A C}}\\) and \\(\\overline{{A D}}\\) trisect \\(\\angle B A E\\) . Let \\(M\\) be the midpoint of \\(\\overline{{C F}}\\) . Let \\(X\\) be the point such that \\(A M X E\\) is a parallelogram. Show that \\(\\overline{{F X}}\\) \\(\\overline{{E M}}\\) \\(\\overline{{B D}}\\) are concurrent.", "solution": "Here is a \"long\" solution which I think shows where the \"power\" in the configuration comes from (it should be possible to come up with shorter solutions by cutting more directly to the desired conclusion). Throughout the proof, we let \n\n\\[\\theta = \\angle FAB = \\angle FBA = \\angle DAC = \\angle DCA = \\angle EAD = \\angle EDA.\\] \n\nWe begin by focusing just on \\(ABCD\\) with point \\(F\\) , ignoring for now the points \\(E\\) and \\(X\\) (and to some extent even point \\(M\\) ). It turns out this is a very familiar configuration. \n\n## Lemma (Central lemma) \n\nThe points \\(F\\) and \\(C\\) are the incenter and \\(A\\) - excenter of \\(\\triangle DAB\\) . Moreover, \\(\\triangle DAB\\) is isosceles with \\(DA = DB\\) . \n\nProof. The proof uses three observations: \n\n- We already know that \\(\\overline{FAC}\\) is the angle bisector of \\(\\angle ABD\\) . \n\n- We were given \\(\\angle FBC = 90^{\\circ}\\) . \n\n- Next, note that \\(\\triangle AFB \\sim \\triangle ADC\\) (they are similar isosceles triangles). From this it follows that \\(AF \\cdot AC = AB \\cdot AD\\) . \n\nThese three facts, together with \\(F\\) lying inside \\(\\triangle ABD\\) , are enough to imply the result. \\(\\square\\) \n\n![](data:image/jpeg;base64,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)\n\n\n\n\n## Corollary \n\nThe point \\(M\\) is the midpoint of arc \\(\\overline{BD}\\) of \\((DAB)\\) , and the center of cyclic quadrilateral \\(FDCB\\) . \n\nProof. Fact 5. \n\nUsing these observations as the anchor for everything that follows, we now prove several claims about \\(X\\) and \\(E\\) in succession. \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — Point \\(E\\) is the midpoint of arc \\(\\overline{AD}\\) in \\((ABMD)\\) , and hence lies on ray \\(BF\\) . \n\nProof. This follows from \\(\\angle EDA = \\theta = \\angle EBA\\) . \n\nClaim — Points \\(X\\) is the second intersection of ray \\(\\overline{ED}\\) with \\((BFDC)\\) . \n\nProof. First, \\(\\overline{ED} \\parallel \\overline{AC}\\) already since \\(\\angle AED = 180^\\circ - 2\\theta\\) and \\(\\angle CAE = 2\\theta\\) . Now since \\(DB = DA\\) , we get \\(MB = MD = ED = EA\\) . Thus, \\(MX = AE = MB\\) , so \\(X\\) also lies on the circle \\((BFDC)\\) centered at \\(M\\) . \n\nClaim — The quadrilateral \\(EXMF\\) is an isosceles trapezoid. \n\nProof. We already know \\(\\overline{EX} \\parallel \\overline{FM}\\) . Since \\(\\angle EFA = 180^\\circ - \\angle AFB = 2\\theta = \\angle FAE\\) , we have \\(EF = EA\\) as well (and \\(F \\neq A\\) ). As \\(EXMA\\) was a parallelogram, it follows \\(EXMF\\) is an isosceles trapezoid. \n\nThe problem then follows by radical axis theorem on the three circles \\((AEDMB)\\) , \\((BFDXC)\\) and \\((EXMF)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2016/1, proposed by Art Waeterschoot (BEL) \n"}} +{"year": "2016", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "In convex pentagon \\(A B C D E\\) with \\(\\angle B > 90^{\\circ}\\) , let \\(F\\) be a point on \\(\\overline{{A C}}\\) such that \\(\\angle F B C = 90^{\\circ}\\) . It is given that \\(F A = F B\\) \\(D A = D C\\) \\(E A = E D\\) , and rays \\(\\overline{{A C}}\\) and \\(\\overline{{A D}}\\) trisect \\(\\angle B A E\\) . Let \\(M\\) be the midpoint of \\(\\overline{{C F}}\\) . Let \\(X\\) be the point such that \\(A M X E\\) is a parallelogram. Show that \\(\\overline{{F X}}\\) \\(\\overline{{E M}}\\) \\(\\overline{{B D}}\\) are concurrent.", "solution": "Here is a \"long\" solution which I think shows where the \"power\" in the configuration comes from (it should be possible to come up with shorter solutions by cutting more directly to the desired conclusion). Throughout the proof, we let \n\n\\[\\theta = \\angle FAB = \\angle FBA = \\angle DAC = \\angle DCA = \\angle EAD = \\angle EDA.\\] \n\nWe begin by focusing just on \\(ABCD\\) with point \\(F\\) , ignoring for now the points \\(E\\) and \\(X\\) (and to some extent even point \\(M\\) ). It turns out this is a very familiar configuration. \n\n## Lemma (Central lemma) \n\nThe points \\(F\\) and \\(C\\) are the incenter and \\(A\\) - excenter of \\(\\triangle DAB\\) . Moreover, \\(\\triangle DAB\\) is isosceles with \\(DA = DB\\) . \n\nProof. The proof uses three observations: \n\n- We already know that \\(\\overline{FAC}\\) is the angle bisector of \\(\\angle ABD\\) . \n\n- We were given \\(\\angle FBC = 90^{\\circ}\\) . \n\n- Next, note that \\(\\triangle AFB \\sim \\triangle ADC\\) (they are similar isosceles triangles). From this it follows that \\(AF \\cdot AC = AB \\cdot AD\\) . \n\nThese three facts, together with \\(F\\) lying inside \\(\\triangle ABD\\) , are enough to imply the result. \\(\\square\\) \n\n![md5:26cb2317697d09c7c53e847f69688264](26cb2317697d09c7c53e847f69688264.jpeg)\n\n\n\n\n## Corollary \n\nThe point \\(M\\) is the midpoint of arc \\(\\overline{BD}\\) of \\((DAB)\\) , and the center of cyclic quadrilateral \\(FDCB\\) . \n\nProof. Fact 5. \n\nUsing these observations as the anchor for everything that follows, we now prove several claims about \\(X\\) and \\(E\\) in succession. \n\n![md5:edd9ba49b9a9cef20d8d7acafe0c403b](edd9ba49b9a9cef20d8d7acafe0c403b.jpeg)\n \n\nClaim — Point \\(E\\) is the midpoint of arc \\(\\overline{AD}\\) in \\((ABMD)\\) , and hence lies on ray \\(BF\\) . \n\nProof. This follows from \\(\\angle EDA = \\theta = \\angle EBA\\) . \n\nClaim — Points \\(X\\) is the second intersection of ray \\(\\overline{ED}\\) with \\((BFDC)\\) . \n\nProof. First, \\(\\overline{ED} \\parallel \\overline{AC}\\) already since \\(\\angle AED = 180^\\circ - 2\\theta\\) and \\(\\angle CAE = 2\\theta\\) . Now since \\(DB = DA\\) , we get \\(MB = MD = ED = EA\\) . Thus, \\(MX = AE = MB\\) , so \\(X\\) also lies on the circle \\((BFDC)\\) centered at \\(M\\) . \n\nClaim — The quadrilateral \\(EXMF\\) is an isosceles trapezoid. \n\nProof. We already know \\(\\overline{EX} \\parallel \\overline{FM}\\) . Since \\(\\angle EFA = 180^\\circ - \\angle AFB = 2\\theta = \\angle FAE\\) , we have \\(EF = EA\\) as well (and \\(F \\neq A\\) ). As \\(EXMA\\) was a parallelogram, it follows \\(EXMF\\) is an isosceles trapezoid. \n\nThe problem then follows by radical axis theorem on the three circles \\((AEDMB)\\) , \\((BFDXC)\\) and \\((EXMF)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2016/1, proposed by Art Waeterschoot (BEL) \n"}} {"year": "2016", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Find all integers \\(n\\) for which each cell of \\(n\\times n\\) table can be filled with one of the letters \\(I\\) \\(M\\) and \\(o\\) in such a way that: \n\nIn each row and column, one third of the entries are \\(I\\) , one third are \\(M\\) and one third are \\(o\\) ; and in any diagonal, if the number of entries on the diagonal is a multiple of three, then one third of the entries are \\(I\\) , one third are \\(M\\) and one third are \\(o\\) . \n\nNote that an \\(n\\times n\\) table has \\(4n - 2\\) diagonals.", "solution": "Fin \n\nThe answer is \\(n\\) divisible by 9. \n\nFirst we construct \\(n = 9\\) and by extension every multiple of 9. \n\n
IIIMMMOOO
MMMOOOIII
OOOIIIMMM
IIIMMMOOO
MMMOOOIII
OOOIIIMMM
IIIMMMOOO
MMMOOOIII
OOOIIIMMM
\n\nWe now prove \\(9\\mid n\\) is necessary. \n\nLet \\(n = 3k\\) , which divides the given grid into \\(k^{2}\\) sub- boxes (of size \\(3\\times 3\\) each). We say a multiset of squares \\(S\\) is clean if the letters distribute equally among them; note that unions of clean multisets are clean. \n\nConsider the following clean sets (given to us by problem statement): \n\nAll columns indexed 2 (mod 3), All rows indexed 2 (mod 3), and All \\(4k - 2\\) diagonals mentioned in the problem. \n\nTake their union. This covers the center of each box four times, and every other cell exactly once. We conclude the set of \\(k^{2}\\) center squares are clean, hence \\(3\\mid k^{2}\\) and so \\(9\\mid n\\) , as desired.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2016/2, proposed by Trevor Tao (AUS) \n"}} {"year": "2016", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(P = A_{1}A_{2}\\ldots A_{k}\\) be a convex polygon in the plane. The vertices \\(A_{1}\\) \\(A_{2}\\) ,..., \\(A_{k}\\) have integral coordinates and lie on a circle. Let \\(S\\) be the area of \\(P\\) . An odd positive integer \\(n\\) is given such that the squares of the side lengths of \\(P\\) are integers divisible by \\(n\\) . Prove that \\(2S\\) is an integer divisible by \\(n\\) .", "solution": "L . \n\nSolution by Jeck Lim: We will prove the result just for \\(n = p^{e}\\) where \\(p\\) is an odd prime and \\(e \\geq 1\\) . The case \\(k = 3\\) is resolved by Heron's formula directly: we have \\(S = \\frac{1}{4} \\sqrt{2(a^{2}b^{2} + b^{2}c^{2} + c^{2}a^{2}) - a^{4} - b^{4} - c^{4}}\\) , so if \\(p^{e} \\mid \\gcd (a^{2}, b^{2}, c^{2})\\) then \\(p^{2e} \\mid S^{2}\\) . \n\nNow we show we can pick a diagonal and induct down on \\(k\\) by using inversion. \n\nLet the polygon be \\(A_{1}A_{2}\\ldots A_{k + 1}\\) and suppose for contradiction that all sides are divisible by \\(p^{e}\\) but no diagonals are. Let \\(O = A_{k + 1}\\) for notational convenience. By applying inversion around \\(O\\) with radius 1, we get the \"generalized Ptolemy theorem\" \n\n\\[\\frac{A_{1}A_{2}}{OA_{1}\\cdot OA_{2}} +\\frac{A_{2}A_{3}}{OA_{2}\\cdot OA_{3}} +\\dots +\\frac{A_{k - 1}A_{k}}{OA_{k - 1}\\cdot OA_{k}} = \\frac{A_{1}A_{k}}{OA_{1}\\cdot OA_{k}}\\] \n\nor, making use of square roots, \n\n\\[\\sqrt{\\frac{A_{1}A_{2}^{2}}{OA_{1}^{2}\\cdot OA_{2}^{2}}} +\\sqrt{\\frac{A_{2}A_{3}^{2}}{OA_{2}^{2}\\cdot OA_{3}^{2}}} +\\dots +\\sqrt{\\frac{A_{k - 1}A_{k}^{2}}{OA_{k - 1}^{2}\\cdot OA_{k}^{2}}} = \\sqrt{\\frac{A_{1}A_{k}^{2}}{OA_{1}^{2}\\cdot OA_{k}^{2}}}\\] \n\nSuppose \\(\\nu_{p}\\) of all diagonals is strictly less than \\(e\\) . Then the relation becomes \n\n\\[\\sqrt{q_{1}} +\\dots +\\sqrt{q_{k - 1}} = \\sqrt{q}\\] \n\nwhere \\(q_{i}\\) are positive rational numbers. Since there are no nontrivial relations between square roots (see this link) there is a positive rational number \\(b\\) such that \\(r_{i} = \\sqrt{q_{i} / b}\\) and \\(r = \\sqrt{q / b}\\) are all rational numbers. Then \n\n\\[\\sum r_{i} = r.\\] \n\nHowever, the condition implies that \\(\\nu_{p}(q_{i}^{2}) > \\nu_{p}(q^{2})\\) for all \\(i\\) (check this for \\(i = 1\\) , \\(i = k - 1\\) and \\(2 \\leq i \\leq k - 2\\) ), and hence \\(\\nu_{p}(r_{i}) > \\nu_{p}(r)\\) . This is absurd. \n\nRemark. I think you basically have to use some Ptolemy- like geometric property, and also all correct solutions I know of for \\(n = p^{e}\\) depend on finding a diagonal and inducting down. (Actually, the case \\(k = 4\\) is pretty motivating; Ptolemy implies one can cut in two.)\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2016/3, proposed by Aleksandr Gaifullin (RUS) \n"}} {"year": "2016", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "A set of positive integers is called fragrant if it contains at least two elements and each of its elements has a prime factor in common with at least one of the other elements. Let \\(P(n) = n^{2} + n + 1\\) . What is the smallest possible positive integer value of \\(b\\) such that there exists a non-negative integer \\(a\\) for which the set \n\n\\[\\{P(a + 1),P(a + 2),\\ldots ,P(a + b)\\}\\] \n\nis fragrant?", "solution": "A \n\nThe answer is \\(b = 6\\) \n\nFirst, we prove \\(b\\geq 6\\) must hold. It is not hard to prove the following divisibilities by Euclid: \n\n\\[\\gcd (P(n),P(n + 1))\\mid 1\\] \\[\\gcd (P(n),P(n + 2))\\mid 7\\] \\[\\gcd (P(n),P(n + 3))\\mid 3\\] \\[\\gcd (P(n),P(n + 4))\\mid 19.\\] \n\nNow assume for contradiction \\(b\\leq 5\\) . Then any GCD's among \\(P(a + 1)\\) , ..., \\(P(a + b)\\) must be among \\(\\{3,7,19\\}\\) . Consider a multi- graph on \\(\\{a + 1,\\ldots ,a + b\\}\\) where we join two elements with nontrivial GCD and label the edge with the corresponding prime. Then we readily see there is at most one edge each of \\(\\{3,7,19\\}\\) : id est at most one edge of gap 2, 3, 4 (and no edges of gap 1). (By the gap of an edge \\(e = \\{u,v\\}\\) we mean \\(|u - v|\\) .) But one can see that it's now impossible for every vertex to have nonzero degree, contradiction. \n\nTo construct \\(b = 6\\) we use the Chinese remainder theorem: select \\(a\\) with \n\n\\[a + 1\\equiv 7\\pmod{19\\] \\[a + 5\\equiv 11\\pmod{19\\] \\[a + 2\\equiv 2\\pmod{7\\] \\[a + 4\\equiv 4\\pmod{7\\] \\[a + 3\\equiv 1\\pmod{3\\] \\[a + 6\\equiv 1\\pmod{3\\]", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2016/4, proposed by Gerhard Woeginger (LUX) \n"}} {"year": "2016", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "The equation \n\n\\[(x - 1)(x - 2)\\ldots (x - 2016) = (x - 1)(x - 2)\\ldots (x - 2016)\\] \n\nis written on the board, with 2016 linear factors on each side. What is the least possible value of \\(k\\) for which it is possible to erase exactly \\(k\\) of these 4032 linear factors so that at least one factor remains on each side and the resulting equation has no real solutions?", "solution": "The answer is 2016. Obviously this is necessary in order to delete duplicated factors. We now prove it suffices to deleted 2 (mod 4) and 3 (mod 4) guys from the left- hand side, and 0 (mod 4), 1 (mod 4) from the right- hand side. \n\nConsider the 1008 inequalities \n\n\\[(x - 1)(x - 4)< (x - 2)(x - 3)\\] \\[(x - 5)(x - 8)< (x - 6)(x - 7)\\] \\[(x - 9)(x - 12)< (x - 10)(x - 11)\\] \\[\\vdots\\] \\[(x - 2013)(x - 2016)< (x - 2014)(x - 2015).\\] \n\nNotice that in all these inequalities, at most one of them has non- positive numbers in it, and we never have both zero. If there is exactly one negative term among the \\(1008\\cdot 2 = 2016\\) sides, it is on the left and we can multiply all together. Thus the only case that remains is if \\(x\\in (4m - 2,4m - 1)\\) for some \\(m\\) , say the \\(m\\) th inequality. In that case, the two sides of that inequality differ by a factor of at least 9. \n\nClaim — We have \n\n\\[\\prod_{k\\geq 0}\\frac{(4k + 2)(4k + 3)}{(4k + 1)(4k + 4)} < e.\\] \n\nProof of claim using logarithms. It's equivalent to prove \n\n\\[\\sum_{k\\geq 0}\\log \\left(1 + \\frac{2}{(4k + 1)(4k + 4)}\\right)< 1.\\] \n\nTo this end, we use the deep fact that \\(\\log (1 + t)\\leq t\\) , and thus it follows from \\(\\begin{array}{r}{\\sum_{k\\geq 0}\\frac{1}{(4k + 1)(4k + 4)} < \\frac{1}{2}} \\end{array}\\) , which one can obtain for example by noticing it's less than \\(\\frac{1}{4}\\frac{\\pi^{2}}{6}\\) . \\(\\square\\) \n\nRemark (Elementary proof of claim, given by Espen Slettnes). To avoid calculus as above,\n\n\n\nfor each \\(N \\geq 0\\) , note the partial product is bounded by \n\n\\[\\prod_{k = 0}^{N}\\frac{(4k + 2)(4k + 3)}{(4k + 1)(4k + 4)} = \\frac{2}{1}\\cdot \\left(\\frac{3}{4}\\cdot \\frac{6}{5}\\right)\\cdot \\left(\\frac{7}{8}\\cdot \\frac{10}{9}\\right)\\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot\\] \\[\\qquad < 2\\cdot 1\\cdot 1\\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\cdot \\frac{4N + 3}{4N + 4} < 2< e.\\] \n\nThis solves the problem, because then the factors being multiplied on by the positive inequalities before the \\(m\\) th one are both less than \\(e\\) , and \\(e^{2} < 9\\) . In symbols, for \\(4m - 2 < x < 4m - 1\\) we should have \n\n\\[\\frac{(x - (4m - 6))(x - (4m - 5))}{(x - (4m - 7))(x - (4m - 4))} \\times \\dots \\times \\frac{(x - 2)(x - 3)}{(x - 1)(x - 4)} < e\\] \n\nand \n\n\\[\\frac{(x - (4m + 2))(x - (4m + 3))}{(x - (4m + 1))(x - (4m + 4))} \\times \\dots \\times \\frac{(x - 2014)(x - 2015)}{(x - 2013)(x - 2016)} < e\\] \n\nbecause the \\((k + 1)\\) st term of each left- hand side is at most \\(\\frac{(4k + 2)(4k + 3)}{(4k + 1)(4k + 4)}\\) , for \\(k \\geq 0\\) . As \\(e^{2} < 9\\) , we're okay.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2016/5, proposed by Russia \n"}} -{"year": "2016", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "There are \\(n\\geq 2\\) line segments in the plane such that every two segments cross and no three segments meet at a point. Geoff has to choose an endpoint of each segment and place a frog on it facing the other endpoint. Then he will clap his hands \\(n - 1\\) times. Every time he claps, each frog will immediately jump forward to the next intersection point on its segment. Frogs never change the direction of their jumps. Geoff wishes to place the frogs in such a way that no two of them will ever occupy the same intersection point at the same time. \n\n(a) Prove that Geoff can always fulfill his wish if \\(n\\) is odd. \n\n(b) Prove that Geoff can never fulfill his wish if \\(n\\) is even.", "solution": "The following solution was communicated to me by Yang Liu. \n\nImagine taking a larger circle \\(\\omega\\) encasing all \\(\\binom{n}{2}\\) intersection points. Denote by \\(P_{1}\\) , \\(P_{2}\\) , ..., \\(P_{2n}\\) the order of the points on \\(\\omega\\) in clockwise order; we imagine placing the frogs on \\(P_{i}\\) instead. Observe that, in order for every pair of segments to meet, each line segment must be of the form \\(P_{i}P_{i + n}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nThen: \n\n(a) Place the frogs on \\(P_{1}\\) , \\(P_{3}\\) , ..., \\(P_{2n - 1}\\) . A simple parity arguments shows this works. \n\n(b) Observe that we cannot place frogs on consecutive \\(P_{i}\\) , so the \\(n\\) frogs must be placed on alternating points. But since we also are supposed to not place frogs on diametrically opposite points, for even \\(n\\) we immediately get a contradiction.\n\n\n\nRemark. Yang says: this is easy to guess if you just do a few small cases and notice that the pairs of \"violating points\" just forms a large cycle around.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2016/6, proposed by Josef Tkadlec (CZE) \n"}} +{"year": "2016", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "There are \\(n\\geq 2\\) line segments in the plane such that every two segments cross and no three segments meet at a point. Geoff has to choose an endpoint of each segment and place a frog on it facing the other endpoint. Then he will clap his hands \\(n - 1\\) times. Every time he claps, each frog will immediately jump forward to the next intersection point on its segment. Frogs never change the direction of their jumps. Geoff wishes to place the frogs in such a way that no two of them will ever occupy the same intersection point at the same time. \n\n(a) Prove that Geoff can always fulfill his wish if \\(n\\) is odd. \n\n(b) Prove that Geoff can never fulfill his wish if \\(n\\) is even.", "solution": "The following solution was communicated to me by Yang Liu. \n\nImagine taking a larger circle \\(\\omega\\) encasing all \\(\\binom{n}{2}\\) intersection points. Denote by \\(P_{1}\\) , \\(P_{2}\\) , ..., \\(P_{2n}\\) the order of the points on \\(\\omega\\) in clockwise order; we imagine placing the frogs on \\(P_{i}\\) instead. Observe that, in order for every pair of segments to meet, each line segment must be of the form \\(P_{i}P_{i + n}\\) . \n\n![md5:88ee31ae597ab2845bc6fbd3b99d93f5](88ee31ae597ab2845bc6fbd3b99d93f5.jpeg)\n \n\nThen: \n\n(a) Place the frogs on \\(P_{1}\\) , \\(P_{3}\\) , ..., \\(P_{2n - 1}\\) . A simple parity arguments shows this works. \n\n(b) Observe that we cannot place frogs on consecutive \\(P_{i}\\) , so the \\(n\\) frogs must be placed on alternating points. But since we also are supposed to not place frogs on diametrically opposite points, for even \\(n\\) we immediately get a contradiction.\n\n\n\nRemark. Yang says: this is easy to guess if you just do a few small cases and notice that the pairs of \"violating points\" just forms a large cycle around.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2016-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2016/6, proposed by Josef Tkadlec (CZE) \n"}} diff --git a/IMO/segmented/en-IMO-2017-notes.jsonl b/IMO/segmented/en-IMO-2017-notes.jsonl index 9e65ad86e372bc1e47f33c8a478a33b46ace808a..ebbee536a696b37f20d98e960ec19408e2e80910 100644 --- a/IMO/segmented/en-IMO-2017-notes.jsonl +++ b/IMO/segmented/en-IMO-2017-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2017", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "For each integer \\(a_{0} > 1\\) , define the sequence \\(a_{0}\\) , \\(a_{1}\\) , \\(a_{2}\\) , ..., by \n\n\\[a_{n + 1} = \\left\\{ \\begin{array}{ll}\\sqrt{a_{n}} & \\mathrm{if~}\\sqrt{a_{n}} \\mathrm{is~an~integer,}\\\\ a_{n} + 3 & \\mathrm{otherwise} \\end{array} \\right.\\] \n\nfor each \\(n \\geq 0\\) . Determine all values of \\(a_{0}\\) for which there is a number \\(A\\) such that \\(a_{n} = A\\) for infinitely many values of \\(n\\) .", "solution": "F \n\nThe answer is \\(a_{0} \\equiv 0\\) (mod 3) only. \n\n\\(\\P\\) First solution. We first compute the minimal term of any sequence, periodic or not. \n\n## Lemma \n\nLet \\(c\\) be the smallest term in \\(a_{n}\\) . Then either \\(c \\equiv 2\\) (mod 3) or \\(c = 3\\) . \n\nProof. Clearly \\(c \\neq 1,4\\) . Assume \\(c \\neq 2\\) (mod 3). As \\(c\\) is not itself a square, the next perfect square after \\(c\\) in the sequence is one of \\((\\lfloor \\sqrt{c} \\rfloor +1)^{2}\\) , \\((\\lfloor \\sqrt{c} \\rfloor +2)^{2}\\) , or \\((\\lfloor \\sqrt{c} \\rfloor +3)^{2}\\) . So by minimality we require \n\n\\[c \\leq \\lfloor \\sqrt{c} \\rfloor +3 \\leq \\sqrt{c} +3\\] \n\nwhich requires \\(c \\leq 5\\) . Since \\(c \\neq 1,2,4,5\\) we conclude \\(c = 3\\) . \n\nNow we split the problem into two cases: \n\n- If \\(a_{0} \\equiv 0\\) (mod 3), then all terms of the sequence are 0 (mod 3). The smallest term of the sequence is thus 3 by the lemma and we have \n\n\\[3 \\rightarrow 6 \\rightarrow 9 \\rightarrow 3\\] \n\nso \\(A = 3\\) works fine. \n\n- If \\(a_{0} \\neq 0\\) (mod 3), then no term of the sequence is 0 (mod 3), and so in particular 3 does not appear in the sequence. So the smallest term of the sequence is 2 (mod 3) by lemma. But since no squares are 2 (mod 3), the sequence \\(a_{k}\\) grows without bound forever after, so no such \\(A\\) can exist. \n\nHence the answer is \\(a_{0} \\equiv 0\\) (mod 3) only.\n\n\n\nSecond solution. We clean up the argument by proving the following lemma. \n\n## Lemma \n\nIf \\(a_{n}\\) is constant modulo 3 and not 2 (mod 3), then \\(a_{n}\\) must eventually cycle in the form \\((m, m + 3, m + 6, \\ldots , m^{2})\\) , with no squares inside the cycle except \\(m^{2}\\) . \n\nProof. Observe that \\(a_{n}\\) must eventually hit a square, say \\(a_{k} = c^{2}\\) ; the next term is \\(a_{k + 1} = c\\) . Then it is forever impossible to exceed \\(c^{2}\\) again, by what is essentially discrete intermediate value theorem. Indeed, suppose \\(a_{\\ell} > c^{2}\\) and take \\(\\ell > k\\) minimal (in particular \\(a_{\\ell} \\neq \\sqrt{a_{\\ell - 1}}\\) ). Thus \\(a_{\\ell - 1} \\in \\{c^{2} - 2, c^{2} - 1, c^{2}\\}\\) and thus for modulo 3 reasons we have \\(a_{\\ell - 1} = c^{2}\\) . But that should imply \\(a_{\\ell} = c < c^{2}\\) , contradiction. \n\nWe therefore conclude \\(\\sup \\{a_{n}, a_{n + 1}, \\ldots \\}\\) is a decreasing integer sequence in \\(n\\) . It must eventually stabilize, say at \\(m^{2}\\) . Now we can't hit a square between \\(m\\) and \\(m^{2}\\) , and so we are done. \\(\\square\\) \n\nNow, we contend that all \\(a_{0} \\equiv 0\\) (mod 3) work. Indeed, for such \\(a_{0}\\) we have \\(a_{n} \\equiv 0\\) (mod 3) for all \\(n\\) , so the lemma implies that the problem statement is valid. \n\nNext, we observe that if \\(a_{i} \\equiv 2\\) (mod 3), then the sequence grows without bound afterwards since no squares are 2 (mod 3). In particular, if \\(a_{0} \\equiv 2\\) (mod 3) the answer is no. \n\nFinally, we claim that if \\(a_{0} \\equiv 1\\) (mod 3), then eventually some term is 2 (mod 3). Assume for contradiction this is not so; then \\(a_{n} \\equiv 1\\) (mod 3) must hold forever, and the lemma applies to give us a cycle of the form \\((m, m + 3, \\ldots , m^{2})\\) where \\(m \\equiv 1\\) (mod 3). In particular \\(m \\geq 4\\) and \n\n\\[m \\leq (m - 2)^{2} < m^{2}\\] \n\nbut \\((m - 2)^{2} \\equiv 1\\) (mod 3) which is a contradiction.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2017/1, proposed by Stephan Wagner (SAF) \n"}} {"year": "2017", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Solve over \\(\\mathbb{R}\\) the functional equation \n\n\\[f(f(x)f(y)) + f(x + y) = f(xy).\\]", "solution": "The only solutions are \\(f(x) = 0\\) , \\(f(x) = x - 1\\) and \\(f(x) = 1 - x\\) , which clearly work. Note that \n\n- If \\(f\\) is a solution, so is \\(-f\\) . \n\n- Moreover, if \\(f(0) = 0\\) then setting \\(y = 0\\) gives \\(f \\equiv 0\\) . So henceforth we assume \\(f(0) > 0\\) . \n\nClaim — We have \\(f(z) = 0 \\iff z = 1\\) . Also, \\(f(0) = 1\\) and \\(f(1) = 0\\) . \n\nProof. For the forwards direction, if \\(f(z) = 0\\) and \\(z \\neq 1\\) one may put \\((x, y) = (z, z(z - 1)^{- 1})\\) (so that \\(x + y = xy\\) ) we deduce \\(f(0) = 0\\) which is a contradiction. \n\nFor the reverse, \\(f(f(0)^2) = 0\\) by setting \\(x = y = 0\\) , and use the previous part. We also conclude \\(f(1) = 0\\) , \\(f(0) = 1\\) . \\(\\square\\) \n\nClaim — If \\(f\\) is injective, we are done. \n\nProof. Setting \\(y = 0\\) in the original equation gives \\(f(f(x)) = 1 - f(x)\\) . We apply this three times on the expression \\(f^3 (x)\\) : \n\n\\[f(1 - f(x)) = f(f(f(x))) = 1 - f(f(x)) = f(x).\\] \n\nHence \\(1 - f(x) = x\\) or \\(f(x) = 1 - x\\) . \\(\\square\\) \n\nRemark. The result \\(f(f(x)) + f(x) = 1\\) also implies that surjectivity would solve the problem. \n\nClaim — \\(f\\) is injective. \n\nProof. Setting \\(y = 1\\) in the original equation gives \\(f(x + 1) = f(x) - 1\\) , and by induction \n\n\\[f(x + n) = f(x) - n. \\quad (1)\\] \n\nAssume now \\(f(a) = f(b)\\) . By using (1) we may shift \\(a\\) and \\(b\\) to be large enough that we may find \\(x\\) and \\(y\\) obeying \\(x + y = a + 1\\) , \\(xy = b\\) . Setting these gives \n\n\\[f(f(x)f(y)) = f(xy) - f(x + y) = f(b) - f(a + 1)\\] \\[= f(b) + 1 - f(a) = 1\\]\n\n\n\nfrom which we conclude \n\n\\[f(f(x)f(y) + 1) = 0.\\] \n\nHence by the first claim we have \\(f(x)f(y) + 1 = 1\\) , so \\(f(x)f(y) = 0\\) . Applying the first claim again gives \\(1 \\in \\{x, y\\}\\) . But that implies \\(a = b\\) . \\(\\square\\) \n\nRemark. Jessica Wan points out that for any \\(a \\neq b\\) , at least one of \\(a^2 > 4(b - 1)\\) and \\(b^2 > 4(a - 1)\\) is true. So shifting via (1) is actually unnecessary for this proof. \n\nRemark. One can solve the problem over \\(\\mathbb{Q}\\) using only (1) and the easy parts. Indeed, that already implies \\(f(n) = 1 - n\\) for all \\(n\\) . Now we induct to show \\(f(p / q) = 1 - p / q\\) for all \\(0 < p < q\\) (on \\(q\\) ). By choosing \\(x = 1 + p / q\\) , \\(y = 1 + q / p\\) , we cause \\(xy = x + y\\) , and hence \\(0 = f(f(1 + p / q)f(1 + q / p))\\) or \\(1 = f(1 + p / q)f(1 + q / p)\\) . \n\nBy induction we compute \\(f(1 + q / p)\\) and this gives \\(f(p / q + 1) = f(p / q) - 1\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2017/2, proposed by Dorlir Ahmeti (ALB) \n"}} -{"year": "2017", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "A hunter and an invisible rabbit play a game in the plane. The rabbit and hunter start at points \\(A_{0} = B_{0}\\) . In the \\(n\\) th round of the game ( \\(n \\geq 1\\) ), three things occur in order: \n\n(i) The rabbit moves invisibly from \\(A_{n - 1}\\) to a point \\(A_{n}\\) such that \\(A_{n - 1}A_{n} = 1\\) . \n\n(ii) The hunter has a tracking device (e.g. dog) which reports an approximate location \\(P_{n}\\) of the rabbit, such that \\(P_{n}A_{n} \\leq 1\\) . \n\n(iii) The hunter moves visibly from \\(B_{n - 1}\\) to a point \\(B_{n}\\) such that \\(B_{n - 1}B_{n} = 1\\) . \n\nLet \\(N = 10^{9}\\) . Can the hunter guarantee that \\(A_{N}B_{N} < 100\\) ?", "solution": "No, the hunter cannot. We will show how to increase the distance in the following way: \n\nClaim — Suppose the rabbit is at a distance \\(d \\geq 1\\) from the hunter at some point in time. Then it can increase its distance to at least \\(\\sqrt{d^{2} + \\frac{1}{2}}\\) in \\(4d\\) steps regardless of what the hunter already knows about the rabbit. \n\nProof. Consider a positive integer \\(n > d\\) , to be chosen later. Let the hunter start at \\(B\\) and the rabbit at \\(A\\) , as shown. Let \\(\\ell\\) denote line \\(AB\\) . \n\nNow, we may assume the rabbit reveals its location \\(A\\) , so that all previous information becomes irrelevant. \n\nThe rabbit chooses two points \\(X\\) and \\(Y\\) symmetric about \\(\\ell\\) such that \\(XY = 2\\) and \\(AX = AY = n\\) , as shown. The rabbit can then hop to either \\(X\\) or \\(Y\\) , pinging the point \\(P_{n}\\) on the \\(\\ell\\) each time. This takes \\(n\\) hops. \n\n![](data:image/jpeg;base64,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)\n \n\nNow among all points \\(H\\) the hunter can go to, \\(\\min \\max \\{HX, HY\\}\\) is clearly minimized with \\(H \\in \\ell\\) by symmetry. So the hunter moves to a point \\(H\\) such that \\(BH = n\\) as well. In that case the new distance is \\(HX = HY\\) . \n\nWe now compute \n\n\\[H X^{2} = 1 + H M^{2} = 1 + \\left(\\sqrt{A X^{2} - 1} -A H\\right)^{2}\\] \\[\\qquad = 1 + \\left(\\sqrt{n^{2} - 1} - (n - d)\\right)^{2}\\] \\[\\qquad \\geq 1 + \\left(\\left(n - \\frac{1}{n}\\right) - (n - d)\\right)^{2}\\] \\[\\qquad = 1 + (d - 1 / n)^{2}\\] \n\nwhich exceeds \\(d^{2} + \\frac{1}{2}\\) whenever \\(n \\geq 4d\\) .\n\n\n\nIn particular we can always take \\(n = 400\\) even very crudely; applying the lemma \\(2 \\cdot 100^{2}\\) times, this gives a bound of \\(400 \\cdot 2 \\cdot 100^{2} < 10^{9}\\) , as desired. \n\nRemark. The step of revealing the location of the rabbit seems critical because as far as I am aware it is basically impossible to keep track of ping locations in the problem. \n\nRemark. Reasons to believe the answer is \"no\": the \\(10^{9}\\) constant, and also that \"follow the last ping\" is losing for the hunter. \n\nRemark. I think there are roughly two ways you can approach the problem once you recognize the answer. \n\n(i) Try and control the location of the pings \n\n(ii) Abandon the notion of controlling possible locations, and try to increase the distance by a little bit, say from \\(d\\) to \\(\\sqrt{d^{2} + \\epsilon}\\) . This involves revealing the location of the rabbit before each iteration of several jumps. \n\nI think it's clear that the difficulty of my approach is realizing that (ii) is possible; once you do, the two- point approach is more or less the only one possible. \n\nMy opinion is that (ii) is not that magical; as I said it was the first idea I had. But I am biased, because when I test- solved the problem at the IMO it was called \"C5\" and not \"IMO3\"; this effectively told me it was unlikely that the official solution was along the lines of (i), because otherwise it would have been placed much later in the shortlist.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2017/3, proposed by Gerhard Woeginger (AUT) \n"}} -{"year": "2017", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(R\\) and \\(S\\) be different points on a circle \\(\\Omega\\) such that \\(\\overline{RS}\\) is not a diameter. Let \\(\\ell\\) be the tangent line to \\(\\Omega\\) at \\(R\\) . Point \\(T\\) is such that \\(S\\) is the midpoint of \\(\\overline{RT}\\) . Point \\(J\\) is chosen on minor arc \\(RS\\) of \\(\\Omega\\) so that the circumcircle \\(\\Gamma\\) of triangle \\(JST\\) intersects \\(\\ell\\) at two distinct points. Let \\(A\\) be the common point of \\(\\Gamma\\) and \\(\\ell\\) closer to \\(R\\) . Line \\(AJ\\) meets \\(\\Omega\\) again at \\(K\\) . Prove that line \\(KT\\) is tangent to \\(\\Gamma\\) .", "solution": "First solution (elementary). First, note \n\n\\[\\angle RKA = \\angle RKJ = \\angle RSJ = \\angle TSJ = \\angle TAJ = \\angle TAK\\] \n\nso \\(\\overline{RK} \\parallel \\overline{AT}\\) . Now, \n\n\\(\\overline{RA}\\) is tangent at \\(R\\) iff \\(\\triangle KRS \\sim \\triangle RTA\\) (oppositely), because both equate to \\(- \\angle RKS = \\angle SKR = \\angle SRA = \\angle TRA\\) . \n\nSimilarly, \\(\\overline{TK}\\) is tangent at \\(T\\) iff \\(\\triangle ATS \\sim \\triangle TRK\\) . \n\nThe two similarities are equivalent because \\(RS = ST\\) the SAS gives \\(KR \\cdot TA = RS \\cdot RT = TS \\cdot TR\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFgAj4DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKhuLu3tE33E8cSnoXYDP0o3E2krsmorO/tUy/8AHpZXM4/vsvlr+bYJ/AGkzq0v8VnbD0AaU/n8o/Sq5X1M/bRfwpv0/wA9vxNKis37Dcv/AK3VLo+0YRB+i5/Wj+yYD9+a8f63cn8g2KOVdw56j2j97/yuaVFZv9j2XdJT9Z3P9aP7ItB0+0L/ALt1Kv8AJqLR7her/Kvvf+RpUVm/2Zt/1V9fR/8AbYv/AOh5o8jUo/8AVaisntcQA5/FSv8AKjlXcPaTW8fut/wDSorO+16jD/rrFJl/vW0oz/3y2P5mnx6vZvII5JDBKeAlwpjJPtng/hmjlYe2hs3b10/MvUUUVJqFFFFABRRWHqvieDSdZsNKksrya6v9/wBmEKoRIUG5uSwxgdzgc0AblFZmpa0mm3NpbCyvLqe53bY7ZFYoB3bLDaOcZ6Z4zyMun17S7W9+xz3sMc4GXVnA2fdwG54J3Lj17UAaNFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU13WKNpHYKigszHoAK4rWfE3iHSdFs797XTxPf3kNtbWbB92ZXwoZsjDBckgDsR70AdvRWPb3Orx67FZ3gs5LWW2klEsCsrK6sg2kEkYIcnOe1bFABRRRQAUUUUAFFVr+SSGxmlinhgaNS5kmjLqoHJyAQeme9cvo/i69l8CWniTVraFDeKHjgg4Kq2dv3my5IwcKM84ANAHY0Vl6BrUevaWl7HGYwTtZSykg4BPAJK9ejYb1ArUoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiorm5htITLPIEQcZPc+gHc+1Am0ldktU7nUoLaXyRumuCMiGIbm/HsB7nAquTe6j3eytT2H+ucf+yD9fpVq2tYLSPy4I1Rc5OOpPqT1J9zV2S3Muac/g0Xd/ov8/uZWKajd/wCtlWziP8EOGkP1Y8D8B+NS2+nWttJ5iRAzHrK5Luf+BHmrVFHMxqjFO71fn/WnyCiiikahRRRQAUUUUAFFFFABTZI0lQpIiuh6qwyDTqKAavuUP7MEHNhPJan+4vzR/wDfB4H/AAHFL/aFxa8ahb4Qf8t4Msn4j7y/qPer1FO99zH2Kj/Ddvy+7/KwsUsc8SyxSLJGwyrKcg/jT6zZNOCStPZSG1nY5baMo5/2l6H6jB96fBqJEy217GLe4bhDnKSf7revsef50nHsCqOLtUVvPp/Xr+Jfrzy8bUNW+LF6dMSFn0XSBDHJccxxXE53ZIHJ+RFGBjgnnpn0F1LIyhihIwGXGR7jPFYmh+GItD1LUr9NRvrqbUZBLcfafKILABQRtRSMAAAZx7VJsVfAWqJrfha31GSMpqLkxagG++LhCVcH05BwOgBGKvXvhmwv9ah1WYzfaIVIRhKwK52/dIPyfd5C43ZOc1DoXhWHQNS1O8t9Rvpv7RmNxPBN5Xl+YcAsoVAQcADrz3yea36ACiuG+IXxP034fPYxXVncXc93uYJEQuxFIBJJ788D2PSt3TvF2i6pplrfwXYEVzEsqh1IYBhnB96UpKO7JlOMfidjcorN/t/Sv+fxPyP+FH9v6V/z+J+R/wAKj2sP5kT7an/MvvNKis3+39K/5/E/I/4Uf2/pX/P4n5H/AAo9rD+ZB7an/MvvNKis3+39K/5/E/I/4Uf2/pX/AD+J+R/wo9rD+ZB7an/MvvNKis3+39K/5/E/I/4Uf2/pX/P4n5H/AAo9rD+ZB7an/MvvNKis3+39K/5/E/I/4Uf2/pX/AD+J+R/wo9rD+ZB7an/MvvNKis3+39K/5/E/I/4Uf2/pX/P4n5H/AAo9rD+ZB7an/MvvNKis3+39K/5/E/I/4Uf2/pX/AD+J+R/wo9rD+ZB7an/MvvNKuJ8Qn+1fiZ4X0kfNHYxz6tOvuB5UR/76dj+FdJ/b+lf8/ifkf8K5DxFrvgDwrp9xrT6bpct1CF2pBaxiZySMAEgY559sU1Ug9E0NVYN2Ukeg0V594Y+L2heJdIN4ttfQXCOUkthC0mDgHIcDbg57kHjpWo3jyInEOi6i/wDtO8CD9ZM/pWqjfql6tL82KVanF2ckdbRXIf8ACZ3bfc0mFf8ArrfAf+gq1H/CX6h/0DdO/wDBk3/xmq9n/ej/AOBR/wAyfrFL+ZHX0VyH/CZ3S/f0mFv+uV8D/wChKtOXx5EDibRdRT/aV4HH6SZ/Slyf3o/+BR/zD6xS/mRS8Z+I4NT+Heof2NI8k2oSnSrbMbIZJXfyztyBkAFjkdlNdhaafb2el2+nRoDbwQrAin+6F2gflXm/if4meEvCkdvqK6Rc3F+8jCGIwGPy88uysw2rnPO3kk8+tdr4Y8XaR4s0i2v9OuYyZ03G3Z182M9CGUHggip5W9jSMoyV0zaiijgiWKJAiIAqqOwAwP0p9FFIoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKo3t68ci2tqqyXbjOD92Nf7ze3oO/5kNK5M5qCux15fi2ZYYkM104ykSnHHqx7L7/AJZNRW9i3nC6vJBPdfwnGEj9kHb69T+lSWlmlorHc0k0hzLK/wB5z7+3oOgqzVXtojNQcnzVPu7f5v8Apd2UUUUjYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo54IrmFopo1kjbqrDIqSigTSaszOEs+lcTM9xY/8APQ8vD/vf3l9+o7561qI6yIrowZWGQwOQRTKzmjk0pzNboz2ZOZYFGTH6sg9PVfxHPBdub1MdaXnH8v8Agfl6batFNjkSaJZYnDo4yrKcgioNQvBY2Mlxt3uAAiDq7k4VfxJArNvlV2auSUeboc7r3hfRfG2qpDrFhHd2umj5ckqTK2CRlSDgKFyOh3D0rp4IIrW3it4I1jhiQJGiDAVQMAAegFQabZmxsY4XbfKcvK/99ycsfzJq3UwTtd7ipp2vLdhRRRVlhRRSMyqpZiAB1JPSgBaKy5vEejQOY21O2aQf8s45A7/98rk1EfEKSf8AHppmp3PoRb+UPzlK1PPHubrDVnrytLz0X3s2aKxTf65N/qdLtYB/eubolh/wFFI/8eppg1yf/XatBAPS1tACPxdmB/Klz9kV9Wa+KSXzv+VzcqK4ure1TfcTxQp/ekcKP1rHOhpL/wAfeoalc+oa6aMH6iPaP0p8OhaRasZY9OtVccmVowW/FjzReXYPZ0VvJv0X6t/oPPijRycQXf2o+lpG8/8A6ADTTrlzL/x66JfyDs8uyJf/AB5t3/jtU28Qfa2MOh2pv2B2mfdstkPvJg7vogb3xSDQZr/5tcvnuwf+XWEGK3HsVBy//AiR7Ct/YSX8WXL8tfu/zsHPRXwwv6v/ACsU7jxZqDzNb2cVlJcKcGK1L3jIf9sgIiH/AHmFRrbeNdSOZ9Vh0uIn7scSyOR6Efwn6O1dPBbw2sCw28McMSDCpGoVVHsBRNPHbxNLK21B3/p7mk504K6Xzb/TRfemCrSvaEUvlf8AO7OebwjYeQ76xqOo6io+Zvtd2wRfoqkDH1zWbqXhrStVW30hNJtbe2vT88aQqjtChBZ3IGR/CB3BYE9OOpjhku5FuLtdkandFAf4f9pvU+3b60zQl+2S3Gsv0uSEts9oFJ2n/gRJb6FfSuR3qtdF939f1c6Y1pwhKUpXt81d7L9e2libQPDuk+GNMGnaNZJaWoYvsUklmOMkkkkngck9q1KKK6TygooooAKQsAQOeTgYFISzZC8cAhjyD+v+c0oULnAAycn3oAx9f8LaN4qsUtNdsUu41IcKXZdrDupBBHU/XvSp4Y0E6fBYNpFnJb2qCONZLdTtAHGCR+o71sU1uGDAMe2AePrVRnKLvF2YGIfDCW4zpeqalp5HRUnM0f02S7gB/u4o83xNp/8ArILLVoh1aEm2m/75YsjH/gS1u0Vr9Yk/jSl67/fv+IW7GRbeKNNluEtbppdPu3OFgvk8pmPopPyv/wABJrZqC5tbe8t3t7qCKeFxho5UDKw9weDWL/wj1xp3zaBqMloo/wCXS4zNbn2Ck7k/4CwA9DRy0Z7Plfnqvv3X3P1HdnQ0Vgp4k+xyLBr1qdNkJ2rcF99tIfaXA2n2cKfTNbwIIBByDWdSlOn8S/y+8aaYUUUVmMKKKKACiiigAooooAKKKKACiiigAooqG6uY7O2eeXO1ewGSx6AAdyTxQtRNqKuyG+vGtwkMCiS6myI0PQerN/sj/Ad6LO0W0jb5jJK53Syt1dvX/AdhUdjbSKXurnBupsb8HIReyD2H6nJq5VvTRGUIuT55fJdv+D/w3qUUUUjYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAhubu2sovNu7iKCPON8rhRn0yaZFqVjPayXUN7byW8ed8qSqUXAyckHA4rl/ilem0+H2owRuqzX+ywi3dMysEP/jpY/hTtKvbPUr+68JxQzWdrpltCphkTY1zEy4UjuE4wRwc8HHQgGtFf2lmJL60uYZ9LZj55ikDLA3UtkdBzlh26+tJZanYeJNUWTTr23vLGwOWkglDq0xyAMg4+UZP1YelV/Fmm2j+BNU0uMfZIJrVreJbdQuGYbVVVGBySBjvnFcB8NPhxF4Tmv7bWZlvJLp1RFQsIgUBOCM8khgRkdjWdRqTUev5kxw6SUpO0L+uv3rS7X9aHrF3rGmWBxd6hawH0lmVT+RNVD4lsH/49o7y6P8A0wtJCp/4EQF/WpbXTbGxGLSyt7cf9MolX+Qq1S947LUF0b+aX4Wf5mcdW1Sb/j20N09Dd3KRj/xzef0pD/wkE/3rnT7VfSOF5m/76LKP/Ha0qKXK+rH7WK+GCX4/m2jLOk3M3/H1rWoS/wCzGyQj8Nihv1pB4c0gsGlsluWHRrpmnP5uTWrRRyR7D+sVVtK3pp+VhkUMUCBIYkjQfwooA/Sn0UVRi23qwoorAfU7vW5Gt9EcRWqkrLqRUMPdYQeHP+0flH+0cgaU6bn5JbvoJuxc1HW4LGdbSKOS7v5BlLSDBfH95ieEX/abA+p4qmNFudVIl1+ZZY+q6fCT5C/756yn64X/AGe9aOnaXaaXEyW0Z3SNulldi0krf3mY8k1crT2qp6Uvv6/Lt+fmRvuIiKiKiKFVRgADAApaKgubpLZFyC8jnCRr95z7f49q55SUVdlRi5OyHXFzHaxb5CeThVAyWPYAdzUEFtJNKtzdgeYP9XEDkRf4t7/l7rb2r+b9puiHuCMAD7sY9F/qe/6VbrJRc3zS26L9X/X47aOSgrR37/5GXrLPcLDpULFZb5ijsvVIRzI3tx8oPqwrbjjSKNY41CooCqoGAAO1Y2iL9tuLnWG5Wb9za+0Kn73/AAJst9NvpW3WsNfeFiHy2pdt/V7/AHbfIKKKQsAQOeTgYH+cVZygzKoyxAHTJNJhiecqAeg53DH+fyoUH7zcMQAQCSB9Pzp1MBAAqgAAAcADtS0UUgCkZQylT0IwaWigBFzj5gAc9Ac8dqWmNhG3kooOAxI5PoM/U0+hgFFFFADXRJY2jkRXRhhlYZBHoRWCdEu9HPm+HplSIcnTbhj5Df7h5MR+mV/2e9dBRWlOrKGi2fTp/X4gZmma7b6jM9pJHJaahGMyWdxgOB/eXHDr/tKSPoeK1az9T0iz1eFEukO+Nt0M0bFZIW/vIw5B/n0ORWbHq15ocqW2vOslszBYdUVdqkngLMBwjf7Q+U/7JwK09nGrrS37f5d/Tf13Gn3OiooormKCiiigAooooAKKKKACiiigArLU/wBo6iZTzbWrFYx2eTozf8B6D3z7VPqdxJFbrDAcXFw3lxn+76t+AyfyqW3gjtreOCIYSNQqirWiuYy9+fL0W/r0X6/cSUUUUjYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOU8S6LrOs69ocsMVgdN028+2Osty6vK4QqnAjIG0sT1OcDpTdc0LWJPG+keINHSxH2aCS2vBcXDxtPExyEwsbfdYbgc9SRjvXW1W1G9j07T57uQFliXIUdXPQKPcnAH1pN2V2VGLlJRjuzMum/tLX47cc2+n4ll9GmYfIv8AwFSW/wCBKaWW2We8u7diV8xI5kcdVcZGR7jatSaTZyWdionIa6lYzXDDo0jcnHsOg9gKdP8Au9TtJOzq8R+uAw/9BNYSurT63X46fqdc+WV6S1ilb9W/myawuWuYCJQFniby5VHZh3HsRgj2NWqzbn/Q76O8HEcmIZ/oT8rfgTj6N7VpVtJdUcdNvWMt1/V/663CiiipNAooooAKZNNHbwvNNIscUalndzgKB1JPYUSyxwRPLK6pGilmdjgKB1JNYEMUniWZLu7jZNIRg1tbOMG4I6SSD+73VT9T2A1p0+b3paJf1ZeYm7CbJ/FPzSiS30T+GI5WS8Hq3dY/9nq3fA4O/HGkUaxxoqIgCqqjAAHQAU6iipU5tFolsv66+f6EhRRVW5ujG4ggUSXLDIXso/vN6D+dYykoq7KjFydkOuroQbY0XzJ3+5GD19z6D3pLa1MTmeZhJcuMM+OAP7qjsP50trai33OzGSd+ZJG6t7ew9BViojFyfNP5Lt/wf6XncpKK5Y/f3/4AVmay8ksUOmQMVnvmMe5eqRgZkf8ABeB7stadZujL9uvbrV25R829r/1yU8sP95sn3CrVy193uVR929V/Z/Pp/n6JmxFFHBCkMSBI0UKqjoAOAKfSMyqMsQBkDJPc8Ck+ZiCcrg9OPmrSxyN31YEsSQvGMHcRkHnkdf8AOaUKFzjucmhVCqFUAKBgADgCloEFFFFABRRRQAUUUUAFNQ8bSSWXgkrjJxTqach1I3EdMDGB70AOooooAKKKKACmSxRzxPFKiyRupVkcZDA9QR3FPoo2A5vbceEvmTzbnQB95OXksR6r3aIenVe2RwOjiljuIUmhkWSKRQyOhyGB6EHuKWubmjk8KTPd2sbSaI7Frm2QZNoTyZYx/c7so6feHcHp0xG/x/n/AMH8/XcTsdNRTYpY5oklidXjdQyupyGB6EHuKdXKWFFFFABRRRQAUUVW1C5NnYTTqNzquEX+8x4UfiSBTSu7EykopyfQq25+16ncXR5jhzbxfX+M/ngf8Bq/UFnbC0s4rcHdsUAt/ePc/icmp6p7k0otR13er/r8AooopGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYl639o67DaDm3scTzejSn/Vr+Ay3/fFad/exafYT3c2SkSFiB1b0A9yeB9aoaTaS2tlm5wbudjNcEdN7dQPYDCj2UVnLV8p00FyRdX5L16/cvxaL1U9S+WCOb/nlMjfhnB/QmrlQXkJuLKeEdXjZR9cVNVNwaW4qbSmmySaFLiCSGQbkkUqw9Qai0yZ5LXy5jmeBjFIT3I6H8Rg/jT7WYXFpDMP+WiK35jNV/8Aj21hW6JdJsP++vI/Nd3/AHyK0i1KOhhUXJNS+T/r1/NmjRRRUmgUUVg6tLJqt8dCtXZIwoe/mQ4KRnpGD2Z/0XJ6la0p0+d22XXyQN2I/wDkZ7zJ50S3k4Ha8kU9feNSP+BEeg56CmRRRwQpDCixxRqFRFGAoHAAFPqqlTm0WiW39d+/+RAUUVSmuJJ5WtrQ4ZeJZsZEfsPVvbt39DhOaitS4xcmOuLpzKba1AafHzMfuxD1Pv6Cpba1S2QhSWdjl5G5Zz6mlt7eO2i8uMYGckk5LHuSe5qWpjB35p7/AJf13KlJW5Y7fmFFFFaGZmazLK0EVhbOVub1/JVl6ouMu/4LnHuR61rwxRWsENvCmyNFCRqo4UAcD24FY+khtQ1K61T/AJZr/o9qSMgxhvnYf7zDH0VTW4FC5xnk55NKCv7xpiHypUl039f+Bt63EUH7zcMQAQDkD6U6iirOUKKKKACiiigAooooAKKKKACkZQylTnBGODg/nS0UAIpJHzDBye9LTG2o+/5FDYDMeCfQfmafQAUUUUAFFFFABRRRQBzaj/hE70KONBuZMAdrGVj+kTE/8BY+h+XpqhngiuYJIJ41khkUo6OMhlPBBHpWLo88ulX/APYF5I0i7S+nzucmWIdY2J6unH1XB6hq6Jfvo832lv5rv6rr337sE7aHQUUUVzFhRRRQAVnX/wC+v7G17bjO49k6f+PMp/CtGs2H97rV7L2iSOAexwXP/oS/lVR7mNbW0e7/AOD+heooooNgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKgvbuKwspruckRwoXbHJOOw9TSbsOMXJpLdmXft/aOtwWI5gs9tzcehf/AJZr+GC/4L61pVQ0i1lt7MyXIH2u5cz3GDnDn+H6KAFHsoq/UR7vqdVZpNQjtHT/ADf3/hYKKKKoxKem/LamL/nlI8f4Bjj9MUmqgrYmdR81uwmGP9k5I/EZH40tt8mo3kf97ZKPxG3/ANkq2yh1KsMgjBFZ0HaCXbT7tCsTHnuu/wCpICGAIOQeQaWqWksW0uBWJLRAxMT3KEqf5Vdq2rOxnCXNFS7mfrOpHTLHfDGJruZxDbQk48yQ9AfQDkk9gCaNJ00aZYiIyGWd2MtxMRgyyH7zH+QHYADtVDTf+Jxq8usNzbQbraxHYgHEkv8AwIjaD/dXP8Vbtb1P3cfZrfr69vl+fohb6hRRWeXfUiUhYpaDhpQcGX2X29/y9a5Zz5dN2XGHNr0HSTSXsjQWrFIlOJZx+qr7+/b69LcMMdvEsUShUXoBSxxpFGscahUUYCgYAFOpQhZ80tX/AFsOU7rljsFFFIWAIHc9K0IBmCjLEAZA5Pc1maxPMbeOztmaO6vJPIjIxlRg7n/4CoJHvgd60lB+83BIGVByAfas/Sl/tDVLnVG5ijza2v0B/eMPqwx9EHrSl/KuptRtG9R7R/Pov66JmtbW0Vnaw21ugSGFBGijoFAwBUtFFWcjbbuwooooEFFFFABRRRQAUUUUAFFFFABRRRQAU1CSuCcsvDHbgE+1OppyHU5Yg8YA4HfNADqKKKACiiigAooooAKz9Z0sarYeUknk3UTCW2nAyYpR91vcdiO4JHetCiqhNwkpR3QGfoeqHVdOEssXk3cTmG6gznypV+8PcdCD3BB71pVzup/8STW4dZTi0uittfjspziKX8CdpPowJ4Wuiq60Empw2f4d18vysUmFFFFYjCs3S/niuZu8tzKfwDFB+iitKszRedGtH/vxiT/vrn+tUtmZS/ixXk/0L9FFFBqFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWJqTf2hrFvpw5gttt1c+hOf3a/mC3/AB61q3d1FY2c11O22KFC7n2AzWZo9vLFaNcXS4u7tzPOP7pPRf+AqAv4VnLV8p00FyRdX5L1/4C/GxoUUUVRmFFFFAFOT93q0DdpYnQ/UEEfpuq5VPUPkFtN/zznX8m+T/wBmq5WUNJSXz/D/ADuaT1jFlTTvkmv4uyXG4fRlVv5k1V8Q3Mv2aHTbVyl3qD+Qjr1jTGZH/Bc4/wBor61atvl1i9X1iif894/9lqjpn/Ex1y+1VuYoSbG1Psp/esPq42/9sxXZTSUnUfTX59P8/RM5afwW83+bNa3t4rS2itoEEcMSBEReiqBgCpGZUUsxAUDJJPApJJEhjaSRgiKMlieBVJY31FhJOpS1BykLDBf3b29B+foOSpUd7LVv+rs3jC+r0QmH1Tk5Sy9Ohm/wX+f063wAoAAAA4AHaloohDl1erYSnzaLYKKQsFGWIAyBzSctgnKjJBU45rQgCSSVXgjByRxjNKqhRgZ655OaFUKoVQAAMADtS0AZ2sXEsdqltattu7txBCf7pIyX/wCAqGb8PetS0tYrK0htYF2xQoEQegAxWVpi/wBoavc6keYbfda23oSD+8f8WAX/AIAfWtupjq+Y0rvkSpdtX6/8BfjcKKKKs5QooooAKKKKACiiigAooooAKKKKACiiigApGUMpU5wRjg4P50tFACKSRkqRyeDS0w4R92FAbgsTg57D9afQAUUUUAFFFFABRRRQBDd2sN9ZzWlzGJIJkaORD0ZSMEflWb4bup2s5tOvJDJe6dJ9nldusq4Bjk/4EhBP+1uHatisHU/+JX4hsNVHENyRYXX/AAI5hY/RyV/7a1vS9+Lpd9V6r/Naetg2dzoKKKK5yxkp2xOfRSapaQNui2A9LeMf+OirzruRl9RiqGjNu0OwPrbR/wDoIq18Jk/4q9H+aLtFFFI1CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiorq5is7Wa5ncJFEhd2PYAZNIaTbsjJ1Rv7Q1W20wcww4urr3wf3aH6sC3/APetKs7R4JVtnu7pSt3eP58qnqmRhU/4CoA+oJ71o1Ee76nVVsrU1tH8+r/AK6JBRRRVGIUUUUAVtRjMunXCr9/yyV+o5H61NFIJYUkX7rqGH40+qel8afHH3iLRf8AfJK/0rLar6r8v+HNN6fo/wA/+GM/V799Ne/uIQGuDaxRwKf4pWdlQf8AfTCtCzt7fQ9Gt7Yv+6t41TcerH19yT+ZNc3qOpWNz46trIXUUhtYhcywxuGcupZUQqDnOZA3/Aa1768FgILu+jMt1PMsFnaIR/rGzgZPGcAkt2AOPfetUtCNOG71fl0V/wAfW/zMKMNHKW1389S7HBJdyLcXa7UU5igP8P8AtN6t7dvrV6sY6vewavYafdaagN5vIlgn3pGqKSd2VU5ztA47nkY52axhBR9S5TcgpCwBAzyegpCSSVXgjBOQcYzSqoUYGepPJzWhIihvvMeSBlQcgH2/z2p1FFIArP1i5lgs1htSBeXTiCDvhj1b6KAWP+7WhWbp6/2jrVxfnmC13Wtv6Fs/vG/MBP8AgLetTLsuprRSTc5bR1+fRff+FzUs7SKwsobSAERQoEXPXA9fep6KK0SscspOTu9wooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAARmmocrgsGYcMQMDNOppO1xksQ3AGOB1OaYDqKKKQBRRRQAUUUUAFUtW05NW0m6sJGKCeMqHHVG7MPcHBH0q7RTjJxkpLdAZ+gai+qaHa3UyhbgqUnQfwSqSsi/gwYVpVg6T/oPiTWNO6RzFL+EdvnGyQD/gSbj/10rerSvFRqPl2eq+ev4bFRegVmaNxpUKf8890f/fLFf6Vp1m6d8kl9B/zzuWI+jgP/AOzGs1szOWlSL9V+T/QvUUUUGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVias32/UrbSl5iXF1df7oPyKf95hn6IR3rXuJ4rW2luJnCRRIXdj0AAyTWRo8MpgkvrlCtzev5zqeqLjCJ+CgA++T3qJ6+6dNBcqdXtt6/8Df1saVFFFMzCiiigAooooAKzFuks7m7iILu0oeKNfvNuUdPxB5q3c3QgKxovmTv9yMHr7n0HvVOGE2uqiW4kDyTQNucjAXaRwPQYb9K5q0m5JQ6PV9r6ffqdFKKUW5dV+R5h4H+GVxYfEy/8SPqokgtrmbagBLyO6ncGPopYjPcjoK9C8TaNa+KQumrqFxZajp7xX0Fxbkb4WO9VODwQcOCKXwSN/h4XhBDXs0l0wPUM5yf1zV2fQrF9Slv0aaG/mUK00UxVmVRgLjoQM55BwST3rsqwUJuC6aHDTk5R5u/9Iw/CdxrsOuaro+v3tvqT2CQvBqCQCFmWXdlGUcA/IDx6j2rr+W6jA5BUjrVWw0630+N1hQgyt5khZi7O/8AeLHljwByegAGAKuVBYgAVQqgAAYAHaloopDCiiigChq91LbWWy2x9ruHEFuCM/O3c+wGWPsprQsbOLT7GC0hz5cKBQT1Pufc9TWZYr/aOuTXp5t7LNvB6GQ/6xvw4X8HrbpR1fMaV3yRVL5v16fcvxbCiiirOUKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApGXcpUkjIxkHBpaKAEUkjJUr7GlpuNr5AGG6nPOeMcU6gAooooAKKKKACiiigDD1b/RfEWh344DySWMh/2ZF3D/AMfiQf8AAq3qwfF4KeGLu6UZayKXq46/uXEn8lI/Gt0EMAQcg8git6mtKEvVfdr+o47i1mj9zr0i9rmAOP8AeQ4P6Mv5VpVnar+6+y3n/PCYb/8Acb5T+WQfwrGO9iK2kVLs7/5/hcu0UUUGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTJpY7eGSaVwkcal3Y9AAMk0DSvojI1hvt19baSvMZxcXX/AFzU/Kp/3mH4hWrRrM0aOSSKXUbhCtxfN5pVuqJjCJ+C4z7lq06zjr73c6qvu2pr7P59f8vRIKKKKoxCiiigAqrc3TI4ggUSXLDIU9FH95vQfzpLi5dpTbWoDT4+ZjysQ9T7+gqtdXth4fgga6kk3XVwkCsEZ3llbpnA9j7ACsXJzfLD5v8Ay8/yNVFRXNL7jG1nUNS0bW9HsbJ7Se41edomaeJiyKiF3fIYAgAABcDr1qx421CDS/D8l1PdwW77JI0eVwgLNGygDJ9SD+FU0/4mvxXklHzW2iad5Wey3E7AkfXYi/8AfQrnvjT4VbxLpOlSx3bQTW9yYliZdwcSFV3HB4xgfn2rWMErKPR3+53M3Ud7vd6ffoei6RGsGj2cMJVgsKHcPunPJIPQ9/0q8qhRgZ6k8nNZXhfRl8P+GNN0lLhrkWsCx+cwxv8AfHOB6DsMCtam5X1Mox5Uo9gooopFBRRRQAVR1a7ktLE/ZwGupmENup6GRuBn2HJPsDV6sy0X+0delujzb2GYYvRpiPnb8BhfqXFTLsjWildzlstf8l83+Bp6fZR6dp8FpESViXG49WPdj7k5J+tWaKKtKysjmlJyblLdhRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEZQwwQD35Gee1Ijbl+8rEcMV6Z706mk7XGSSG4AA6Hk0wHUUUUgCiiigAooooAhvLZLyyntX+5NG0bfQjH9ao+F7l7vwnpE8n+teziMns20bh+ea1KxfCPy6B5X/PC7uofwS4kUfoBW61oS9V+TBbm5UdxAl1bSwSDKSoUYexGKkornKaTVmUNNneayQTHM8RMUv8AvrwT+PX6GrdUXH2PWA3SG9GD6CVRx+aj/wAdHrV6rfczot8vK91p/XqgooopGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYutN9uurbSF5SX99df8AXJT90/7zYHuA1bEkiRRPJIwVEBZmJ4AHU1i6MrzpNqkylZr5g4VuqRDiNfy5I9WNRPX3Tpw65b1e23r0+7f7jTooopmYUUUUAFU5riSeVra0OGXiWbGRH7D1b+Xf0LXmkvZGhtnKRKcSTj9VX39T2+vS3DDHBEsUShUXoBWLbqaR27/5f5/d5a2UNZb9v8/8vvG29vHbRCOMYGckk5LHuSe5ptzBBcoIpkVz99VJwQR3B6gjPUetSljkhRyMZzkDH1pVUKMDPUnk5rZRUVZGbbbuyvaWFtZRGO3gjijZt5RVGC+clj3JJ6k1g66ovL+0LcxR30EC+5zvf/0FR+BroLy4+y2ryhdz/dRP7zHgD8SRWRqlt9kttEiLbmGoRl2/vMQ5J/Ek10Yf41/XQwn70lHtr/l/n8jV0xi2mwBjlkXy2Puvyn9RVuqdj8kt5D/cnLD6MA38yauVw0f4aXbT7tDoq/G331+8KKKK1MwooooAparePZWDPCoe5kIigQ/xSMcL+GeT7A1c02xTTdPhtEYt5a/M56ux5Zj7kkk/Ws22X+0vEDznm207Mcfo07D5j/wFSB9WYdq3KUdXc0rPkgqfzf6fcvzCiiirOUKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkYblIyRnuOopaKAEUkqCVKn0NLTQCHOBw3JJboeO3+f1p1ABRRRQAUUUUAFYnhfi31JP7up3P6yFv61t1ieGfuat/wBhOf8AmK3h/Cn8gW5u0UUVzlle+tReWjw7tjHDI46owOQfwIFRWN0bq2DOuyZSUlT+646j6dx7EVdrMvR9gu/7QX/UPhLken91/wAOh9vpVx10ManuS9p06/5/L8i/RRRSNgooooAKKKKACiiigAooooAKKKKACiiigAoopHdY0Z3YKqjJJOABQBja432ya30delx+8ufaFSMj/gRwv0LelaNZejhroT6tKpD3pDRgjlIR/qx+RLH3c1qVnHX3u511fctSXTf16/5fIKKKRmVFLMQFAySTwKoyFqgXfUiUiYpaDhpAcGX2X29/y9aTDanyQUsuw6Gb6+i/z+nW8SqAIoGdpKoOMgen6VjrV2+H8/8Agfn6b66U/X8v+D+XrsIiRRqiKFRRgKBgAUnL9RheQQRyffOf85pdgbluRwdpAwCKdWy02MtwAwAB0FFFVb2d41SCDH2mY7Y8jIX1Y+w/wHemlciclFXZGn+m6nu6wWhwPRpSOf8AvkHH1J9Kr+JflttPk/uajbf+PSBf/Zq1ba3S1t0gjztQdT1J7k+5PNZXiv5fDs0v/PCWG4/79yo//sta0HetFeaRMYtRbe7Li/u9ZcdpoAfxViD/AOhCrlU7v5Lyyl/6aNGfoyn+qirlcdPRyj5/nqbVNVF+X/ACiiitTMKp6peNY2DyxoHnYiOGM/xyMcKPpkjPtk1crMhX+0vEBfrbab8q+jTsOT/wFDj/AIGfSpk+iNaMVfmlstX/AJfN6Gjplium6dDahi7IMvIeruTlmPuSSfxq3RRVpWVkc05OcnKW7CiiimSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA11DLgqDjkA+vahGDLkEHsdpyMjg/rTqaSQ4yeG4AC9+eppgOooopAFFFFABWJ4V+axv5Oz6nd4P+7My/8AstbdYvg/5vC9rN/z8NLcg+vmSM+f/Hq3j/Al6r9QW5uUUUVzlhSModSrAFSMEHoRS0UAZVsTp1wthKSYW/49ZCe3/PM+47eo+hrRpt1axXlu0MoO08gg4KkdCD2Iqna3Msc/2G9I+0AZjkAwJl9R6Edx/Sr+LUwi/ZPke3T/AC/y+71vUUUUjcKKKKACiiigAooooAKKKKACiiigArG11jdtb6Oh/wCPolrjHaBcbv8AvokL9GPpWwzBVLMQABkk9qw9IzeNPq8gObwjyQf4YFzsH45Lf8C9qievu9zpw65b1X9nb16fdv8AI1AABgcCiio5p47eIyyttUfr7D1NDaSuyEm3ZDpJEhjaSRgqKMlieBVJY31BhJOpS2BykLdX92/oPz9A6OCS7kW4ul2qpzFAf4f9pvVv5Va5kGDkIQQQRg/XOfrWSTq6y+H8/X/L7zS6p6Lf8vT/AD+4UsckKMkYznIGKVRtGMk8k8mlorYyCiimSyxwRNLK4SNBlmPQCgG0ldjbm4jtYGmlJ2r2AySewA7k1HY28gZ7u5AFzKPu5z5a9lH9T3P4VHbQyXc63lyhRV5ghYcr/tN/tH07D3zWjTbtoZRvN8726f5/5f1YqjrVmdQ0LULNRlri2kiH1ZSP61eopRk4yUl0NTG+1/bvDFrqI/ihiusj0+Vz+ma16wvDsYOhzaa//LrPPaEeiBzs/wDHCn51qadIZdOt3b7/AJYDfUcH9aVaKhiZRW3T5P8A4KHvSXk/z/4Ys0UUUEFTU737BYSTqnmS8JFH/fkY4VfxJFWNKsf7O06K2L+ZIMtLJ/fkY5ZvxJJrPjX+0vEPrbabz7NOw/8AZUP5uPStylHV3NKz5IKn1er/AE/DX5+QUUUVZyhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSMCVIDFT6jtS0UAIp3KDgjI6HqKWmgbXOASG5JJ4B4GKdQAUUUUAUNbvf7N0HUL7OPs1tJL/3ypP9Kfotl/Zug6dYYx9mto4cf7qgf0rP8V/vtKhsByb67gtyPVC4aT/xxXrereWlBLu3+FrfmxrcKKKK5ygooooAKgu7SK9h8uXIwdyOpwyN2IPY1PRQnYUoqSszMgupYJls7/AlPEUwGFm/wb1H5e1+i4t4rqFoZ4w8bdQazi9zpfE5e5sx0mAzJGP9sfxD/aHPqO9XpLbcx5nS0lqu/b1/z+/uaNFNjkSaNZI3V0YZVlOQRTqRunfVBRRRQAUUUUAFFFFABRRQSAMk4AoAxtec3Ig0iMndeE+cR/DAuN/55C/8C9qvgBVCqAABgAdqzNJJvprjV36XRC2+e0C52/8AfRJb/gQ9Ku3N0lsq5BeRzhI16sfb/HtWPMknNnbUi1aium/r1+7b5XHXFxHbR75CeThVUZLH0A7mq0cLvKLi6AM4BaKAEYQe3q3PJ9/zWC3fzTcTlZLnpjkLGp7Lx+vf2q4o2jGSeSeaSi5vmnt0X6v+vx2hyUVaO/f/ACEKBid3zDIIBA4Ip1FFamQUUVVuL1YZBDGhmuWGREnXHqT/AAj3P600rilJRV2TT3EVtCZZm2oPxJPoB3PtVaG2lvJVubxCkandDbnsf7zereg7fWn29i3nC5vGEtwPugfci9lHr7nn6dKvUN22M+V1NZbdv8/8v6RRRRUGoUUUUAYdp/ofizUbbol7DHeJ7uv7t/0EX51e0/5Bcw/88p3/ACb5x/6FVLX/APRLnTNVHAtrgQzH/plLhD+Afy2PstXYv3erXC9pYkkH1BIP6bavE6unU76fcv8AgL7yobSXz/r8S5VXUr0afYS3Gwu6gCOMdXcnCqPckgfjVqswL/aXiBU622nYdvRp2Hyj/gKkn6uvpWcnpoOlFOV5bLV/15vQv6TYnTtOjgdw8xy80g/jkY5Y/mTj2wKu0UVaVlZHNObnJyluwooopkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA113L91WI5AbpntSqQwyCD24pabna+CQA33RjnPOaYDqKKKQGHdf6Z4y0+3HKWFvJdv7O/wC7j/8AHfO/Kt6sHw3/AKZPqmsHpd3JjhP/AExi/dr+BYSMPZ63q3xGklD+VW+e7/FscdgooornKCiiigAooooAKKKKAM+XTWikafT5BbyMctGRmKQ+69j7j8c01NSWNxFfRm0lJwC5zG5/2X6fgcH2rSprokqMkiq6MMFWGQarm7mPsnHWm7eXT/gfL8RtFUf7La350+5a3H/PFxvi/I8r+BA9qQ3t1b8Xli+3/nrbfvV/L7w/I/Wna+we15fjVvxX3/52L9FV7e/tLskQXEbsOqhvmH1HUVYpNWNYyUleLuFFFFAwrH16Rp44dKiYiS+JWQg8rCP9YfxBCj3cVsVy1tfG6vLjUIUE1xcrttI88LAp4c+gZiW9wVHasqsklZ9TqwsHzOp/L+fT/P5GtPcLaqkEMYeVhiOJeOB3PoB6023tCC0sz75pAVdsFSOei88Dr9euadbWSw7mkbzpXIZpGAySP5Adh2q1Uxi2+aXyXb/g/l07slJJcsfv7/8AACikZlRSzEADqSapnVLdjtt990/pAu4fi33R+JrZJswlOMfiZdqG4uoLVA08ioCcAHqx9AOpP0qDZqNz95o7OP8A2f3kn6/KP1qe20+3tnMiqXmIwZZDuc/ie3sOKNFuRzzl8K+b/wAt/wAiuPtt99wNZwH+JgDK30HRfxyfYVctrSG0jKQpjJyzE5Zj6knkmpqKTlcqNNJ8z1YUUUVJYUUUUAFFFFAFe/sotR0+5spwTFcRtG2OuCMce9Y2k3stzDps1yR9rjMlldY/56r94/QmPI9mHrXQ1y2p/wDEp8QLL0ttQdJM9lnjxu/76iB/79+9XL3qMo9veXy1f4fkVT+Neen36G9qF4un2E10yl9g+VB1djwqj3JIH41JpFi2n6ckUrB7hyZZ3H8UjHLH6Z4HsBVFl/tLX44ettp+JpPRpmHyL/wEZb6lDW5UR1dwqvkpqHV6v9P8/muwUUUVZyhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFIwJGAxX3FLRQAisGUMAQCM8jBrK8R3s1losotDi9uGW2tfaVztU/QZ3H2U1qDhyMMQ3JJPA6DFYi/8Tbxbu62ukKVHo1zIvP8A3xGf/Ip9K3oRXNzPaOv/AAPm7IGa+n2UOm6dbWNuCIbeJYkB64UYH8qsUUVg25O73LCiiikAUUUUAFFFFABRRRQAUUUUAFFFFAFe5sbW8AFzbxS46F1BI+h7VX/shI/+Pa7u7f2WXePyfcK0KKak0ZypQk7ta9+v3md9l1NP9XfwyD0mt+fzVh/Kj/ibr/yysZP+2jp/7Ka0aKfML2SWza+d/wA7njPxg134gac+n2mh2UsdpcoyyvYxm4LuTjYSUBXjpjk5PPFdposHiW20a1DaNp6XDRK0u++YHdgZBAi4x0xnjGKfrd/qbePdF0TT9Slghubae5vFWONjHGm1VKllOCXYDnIwKk07WdQi8e3HhuWYX9tHp63bXXlhXgcvtEb7cKdw+YcA8HqOmcopvm6nTSqunHleq87/AKWHSf8ACYn/AFVhoy/711If/ZBUf2fxa/8AroLTHpFf7B/6IJ/Wutoqte/5A5U3vBffL/5I5NdO1YMGk0LTp2HIafVJJMfTdEcfhV0S+I1AA0bTQB0A1Fv/AIzW/RSab3ZUalOPw04r7/8AMwfO8Sf9AfTv/Bk//wAZo87xJ/0B9O/8GT//ABmt6ily+ZXt4/yL/wAm/wAzB87xJ/0B9O/8GT//ABmjzvEn/QH07/wZP/8AGa3qKOXzD28f5F/5N/mYPneJP+gPp3/gyf8A+M0ed4k/6A+nf+DJ/wD4zW9RRy+Ye3j/ACL/AMm/zMHzvEn/AEB9O/8ABk//AMZo87xJ/wBAfTv/AAZP/wDGa3qKOXzD28f5F/5N/mYPneJP+gPp3/gyf/4zR53iT/oD6d/4Mn/+M1vUUcvmHt4/yL/yb/MwfO8Sf9AfTv8AwZP/APGa4/4my+Lj4Hu2stEtzMkkbh7W5a4ljAYEsqeWM+/sT2rp/Hd/e2/hfVINKlMWoGxnmWVesKohO76k4Ue5zztNafhq7bUPCuj3rMWa4soZSxOSSyA5/Wmk11E66a0gl9/+Z5/8KtY8Yah4ONzd6ZZ3Ez3cu6e6u2t5ZDkZLKIm6HI7cAccc9v9r8T/APQF0r/waSf/ABiorn/iQ+Ilu+mnao6xz+kVzwqP9HACH3CeproK65clOMbQTTW+vz2fT/g9Tlk3Jtt6mJ9r8T/9AXSv/BpJ/wDGKPtfif8A6Aulf+DST/4xW3RU+1h/z7X/AJN/mK3mYn2vxP8A9AXSv/BpJ/8AGKPtfif/AKAulf8Ag0k/+MVt0Ue1h/z7X/k3+YW8zE+1+J/+gLpX/g0k/wDjFH2vxP8A9AXSv/BpJ/8AGK26KPaw/wCfa/8AJv8AMLeZifa/E/8A0BdK/wDBpJ/8Yo+1+J/+gLpX/g0k/wDjFbdFHtYf8+1/5N/mFvMxPtfif/oC6V/4NJP/AIxR9r8T/wDQF0r/AMGkn/xituij2sP+fa/8m/zC3mYn2vxP/wBAXSv/AAaSf/GKPtfif/oC6V/4NJP/AIxW3RR7WH/Ptf8Ak3+YW8zE+1+J/wDoC6V/4NJP/jFH2vxP/wBAXSv/AAaSf/GK26KPaw/59r/yb/MLeZifa/E//QF0r/waSf8Axij7X4n/AOgLpX/g0k/+MVt0Ue1h/wA+1/5N/mFvMxPtfif/AKAulf8Ag0k/+MUfa/E//QF0r/waSf8Axituij2sP+fa/wDJv8wt5mJ9r8T/APQF0r/waSf/ABij7X4n/wCgLpX/AINJP/jFbdFHtYf8+1/5N/mFvMxPtfif/oC6V/4NJP8A4xR9r8T/APQF0r/waSf/ABituij2sP8An2v/ACb/ADC3mYn2vxP/ANAXSv8AwaSf/GKPtfif/oC6V/4NJP8A4xW3RR7WH/Ptf+Tf5hbzMT7X4n/6Aulf+DST/wCMUfa/E/8A0BdK/wDBpJ/8Yrboo9rD/n2v/Jv8wt5mJ9r8T/8AQF0r/wAGkn/xij7X4n/6Aulf+DST/wCMVt0Ue1h/z7X/AJN/mFvMxPtfif8A6Aulf+DST/4xR9r8T/8AQF0r/wAGkn/xituij2sP+fa/8m/zC3mYn2vxP/0BdK/8Gkn/AMYo+1+J/wDoC6V/4NJP/jFbdFHtYf8APtf+Tf5hbzPMfid4i8baL4R+1adp1nbTNcJGZra5NzIoOeiNEo64GecZ6dxt/CmTWJvANrNrtq8F/LNNK5lQpJLucneykDBOfyA7Vp2n/E+8QtfHnT9Mdorb0luPuySfRRlB7l/auior+77q07rW34t/1oVEKK868N3NlfS+Ib7Utcuo7KLU5bazR9UkQJHGApIO8E5cOec9sVveBrnV7vRrqXVfPMZvZhYPcJsle1z+7ZxgcnnqASME1zlHT0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFI7rGjO7BVUZLE4AHrS0UAed6DNpvin4leJb5b1JltIILC2+z3RUlAC8rDYQSu9wM9MirXw0vo30q/tnASQateRwxlf3vlo+B5h6kgEAs3J4ySTXdUxYYkkeRI0V3xvYKAWx6nvQA+iiigAooooAKKKKACiiigAooooAKKKKACq97eR2FpJcypO6IMlYIXlc/RUBJ/AVYooA45rL+1PD15rF1LqtvJqEBElqsDb40wVWMx7C+Rk5x1JYjg1N8NmuB8PtGtry1urW6tbZIJYrmB4mUqMdGAyMAcjiurooAgvbK31Gxms7qMSQTIUdT3B/kfesrQr24WSbRtRkL6hZgESnj7TCeElHvxhvRgexFblZOuaXNexw3diyR6pZkvbSN91s/ejf8A2GAwfTg9QK3pSTXs57P8H/l3+/oS11NSiqOk6pFq1iLhEaKRWMc8D/fhkH3kb3H6jBHBFXqzlFwk4y3QgoooqQCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArE1y8uJJYtF06Qpf3aktKv8Ay7QjhpPr2X1Y+gNXNX1SLSbLznRpZXYRwQJ9+aQ/dRfc+vQAEngGo9E0uWximub11l1K7YSXMi/dBH3UX/YUcD8SeSa6KSUF7WXyXd/5L8du4b6F6ys7fT7KCztYxHBAgjjQdgKq67qbaRo9zdx21zczJGxiht7d5mdwpIGEBIyRjJ4rRornbbd2Wee+HDb6P8OrDTJNE1C/1D7J+9tX06VfNmf5nVndAoG5jkkgV0ngrStQ0Pwbpem6rcm5voIdsshYtzkkLk9QoIXPtW9RSAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAwdVsLmzvzrelRmS42hbu1Xj7VGOmO3mL/Ce4+U9iNOwv7bU7KK8tJBJDIMqcYI7EEHkEHIIPIIxVuufv8AT7rSr6XV9IiMqynde2CnHn/9NI+wkA/BhwecGumLVVKEnaS2f6P9H8nptLVtUb1FVrC/tdTs47uzlEkL9DjBBHBBB5BB4IPINWawlFxdnuIKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVr+/ttMspLu7k8uGMcnGSSeAABySTgADkk0moaha6XZPd3cvlxJgdCSxPAUAckk8ADkmsuw0+61S+j1fWIjH5ZzZWJORb5/jfsZSPwUHA7k7U6aa55/D+fkv1fT7kzyQ/SdPubq9/tvVo9l0ylbW1JyLSM9R6GRuNx7cKOBk7tFFRUqOpK7/AOGKSsFFFFZjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAw7/SLm2vX1XRCiXT83Fq5xFdgev8AdfHRx9DkYxa0vV7bVY5PKDxXEJ2z20w2ywt6MP5EZB6gkVpVl6pokOoyx3UUr2mowjEN3CBuUf3WB4dD3U8emDzXRGpGouWp8n/n3X4rz2Ja7GlRWHb65LZ3Edjr0SWlw7bIrlCfs9wewVj9xj/cbn0Lda3KzqU5Qev/AAGIKKKKgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArP1TWLfSkjEgea5mJW3tYRukmb0UenqTgDqSKpXGuTX08lloEcd1OjbJbt8/Z7c9wSPvsP7i/iVq3pWiQ6bJJcySvd6hMMTXk2N7D+6McKo7KOPqcmuhUo01zVfu6/PsvxfTuG+xXsNIuLi9TVdaZJLxcm3tkOYrQH+7/efHBc/QADOdyiisalSVR3f/DFJWCiiioGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEVzbQXlvJb3MMc0Eg2vHIoZWHoQetYR0zVdD+bRpfttkP8AmH3Uh3IP+mUpyR/utkehUV0VFa060oK267Pb+vNaiauZWna9ZajO1qC9vfIMvZ3K7JVHrj+If7Skj3rTqrqOk2GrwCK+tUmVTuQnhkPqrDlT7gg1mGx1zS+dPvE1K3H/AC7X7bZAP9mYA5/4GpJ/vCr5adT4HZ9n+j/zt6k2aN2isOPxTYxyLDqkc+kzk4C3qhEY+iygmNvoGz7VtqwZQykEEZBHes50pw+Jf15BcWiiioAKKKKACiiigAooooAKKKKACiikZlRSzEKoGSScAUALRWG/imyldotKin1aYHBFkoaMH0aUkRj6bs+1ILDXNU51G9TTrc/8u2nsTIR6NMQCP+AKpH941v8AV5LWp7vrv92/6eYX7FnUdfstPnFr+8ur9hlLO2XfKw9SOij/AGmIHvVP+y9T1z5tal+yWZ/5h1rIcuP+msowT/urgdiWFa2naVY6TAYbC1jgRjucqMs59WY8sfckmrlHto0/4S17vf5dvxfmPl7kdvbwWlvHb20McMMY2pHGoVVHoAOlSUUVg227soKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA2SNJY2jkRXRhhlYZBHuKxD4T0+Fi+mSXOkuTn/QZNiZ/wCuRBjP4rW7RWkKs6fwuwmkzB8jxPZ/6q607Uox0W4RraT8XXcp/wC+BR/b19b8X/h3UYh3kt9lwn4BW3/+O1vUVp7aL+OCf4flp+AuUwR4v0JTi4vvsZ9L2J7bH/fwLV621nS7wA2upWc4PTyp1b+RrQqhc6HpN4SbrS7Kcnr5tujZ/MUr0H0a+af6ILMu0Vi/8IZ4Y/h8P6Yn/XO1Rf5Cj/hDfDn/AEBrT6bOKfLQ/mf3L/5IVmbXSqNzrWlWYJutTs4AOvmzqv8AM1T/AOEM8MfxeH9Mf/rpao38xV620TSbMg2umWUBHTyrdFx+QotQXVv5Jfqx2Zn/APCX6Exxb332w+llC9zn/v2rUf29fXHFh4d1CQdpLkpbp+IZt/8A47W9RS9pSW0Pvf8AlYOVmD5Hia8P7270/TYz1W3ja4k/B32qP++DSr4T06ZxJqb3OqyA5zfyb0z6iMYjB+i1u0UfWai+D3fTT8d/xDlQ1ESNFRFVUUYCqMACnUUVgUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/2Q==)\n \n\nRemark. The problem is actually symmetric with respect to two circles; \\(\\overline{RA}\\) is tangent at \\(R\\) if and only if \\(\\overline{TK}\\) at \\(T\\) . \n\nSecond solution (inversion). Consider an inversion at \\(R\\) fixing the circumcircle \\(\\Gamma\\) of \\(TSJA\\) . Then: \n\n- \\(T\\) and \\(S\\) swap,\n\n\n\n- \\(A\\) and \\(B\\) swap, where \\(B\\) is the second intersection of \\(\\ell\\) with \\(\\Gamma\\) . \n\n- Circle \\(\\Omega\\) inverts to the line through \\(T\\) parallel to \\(\\overline{RAB}\\) , call it \\(\\ell\\) . \n\n- \\(J^{*}\\) is the second intersection of \\(\\ell\\) with \\(\\Gamma\\) . \n\n- \\(K^{*}\\) is the intersection of \\(\\ell\\) with the circumcircle of \\(RBJ^{*}\\) ; this implies \\(RK^{*}J^{*}B\\) is an isosceles trapezoid. In particular, one reads \\(\\overline{RK^{*}} \\parallel \\overline{AT}\\) from this, hence \\(RK^{*}TA\\) is a parallelogram. \n\nThus we wish to show the circumcircle of \\(RSK^{*}\\) is tangent to \\(\\Gamma\\) . But that follows from the final parallelogram observed: \\(S\\) is the center of the parallelogram since it is the midpoint of the diagonal. \n\nRemark. This also implies \\(RKTB\\) is cyclic, from \\(\\overline{K^{*}SA}\\) collinear. Moreover, quadrilateral \\(KK^{*}TS\\) is cyclic (by power of a point); this leads to the second official solution to the problem.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2017/4, proposed by Charles Leytem (LUX) \n"}} -{"year": "2017", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Fix \\(N \\geq 1\\) . A collection of \\(N(N + 1)\\) soccer players of distinct heights stand in a row. Sir Alex Song wishes to remove \\(N(N - 1)\\) players from this row to obtain a new row of \\(2N\\) players in which the following \\(N\\) conditions hold: no one stands between the two tallest players, no one stands between the third and fourth tallest players, ..., no one stands between the two shortest players. Prove that this is possible.", "solution": "Some opening remarks: location and height are symmetric to each other, if one thinks about this problem as permutation pattern avoidance. So while officially there are multiple solutions, they are basically isomorphic to one another, and I am not aware of any solution otherwise. \n\n![](data:image/jpeg;base64,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)\n \n\nTake a partition of \\(N\\) groups in order by height: \\(G_{1} = \\{1,\\ldots ,N + 1\\}\\) , \\(G_{2} = \\{N+\\) \\(2,\\ldots ,2N + 2\\}\\) , and so on. We will pick two people from each group \\(G_{k}\\) \n\nScan from the left until we find two people in the same group \\(G_{k}\\) . Delete all people scanned and also everyone in \\(G_{k}\\) . All the groups still have at least \\(N\\) people left, so we can induct down with the non- deleted people; the chosen pair is to the far left anyways. \n\nRemark. The important bit is to scan by position but group by height, and moreover not change the groups as we scan. Dually, one can have a solution which scans by height but groups by position.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2017/5, proposed by Grigory Chelnokov (RUS) \n"}} +{"year": "2017", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "A hunter and an invisible rabbit play a game in the plane. The rabbit and hunter start at points \\(A_{0} = B_{0}\\) . In the \\(n\\) th round of the game ( \\(n \\geq 1\\) ), three things occur in order: \n\n(i) The rabbit moves invisibly from \\(A_{n - 1}\\) to a point \\(A_{n}\\) such that \\(A_{n - 1}A_{n} = 1\\) . \n\n(ii) The hunter has a tracking device (e.g. dog) which reports an approximate location \\(P_{n}\\) of the rabbit, such that \\(P_{n}A_{n} \\leq 1\\) . \n\n(iii) The hunter moves visibly from \\(B_{n - 1}\\) to a point \\(B_{n}\\) such that \\(B_{n - 1}B_{n} = 1\\) . \n\nLet \\(N = 10^{9}\\) . Can the hunter guarantee that \\(A_{N}B_{N} < 100\\) ?", "solution": "No, the hunter cannot. We will show how to increase the distance in the following way: \n\nClaim — Suppose the rabbit is at a distance \\(d \\geq 1\\) from the hunter at some point in time. Then it can increase its distance to at least \\(\\sqrt{d^{2} + \\frac{1}{2}}\\) in \\(4d\\) steps regardless of what the hunter already knows about the rabbit. \n\nProof. Consider a positive integer \\(n > d\\) , to be chosen later. Let the hunter start at \\(B\\) and the rabbit at \\(A\\) , as shown. Let \\(\\ell\\) denote line \\(AB\\) . \n\nNow, we may assume the rabbit reveals its location \\(A\\) , so that all previous information becomes irrelevant. \n\nThe rabbit chooses two points \\(X\\) and \\(Y\\) symmetric about \\(\\ell\\) such that \\(XY = 2\\) and \\(AX = AY = n\\) , as shown. The rabbit can then hop to either \\(X\\) or \\(Y\\) , pinging the point \\(P_{n}\\) on the \\(\\ell\\) each time. This takes \\(n\\) hops. \n\n![md5:2f28dba88466d319fd97595368726483](2f28dba88466d319fd97595368726483.jpeg)\n \n\nNow among all points \\(H\\) the hunter can go to, \\(\\min \\max \\{HX, HY\\}\\) is clearly minimized with \\(H \\in \\ell\\) by symmetry. So the hunter moves to a point \\(H\\) such that \\(BH = n\\) as well. In that case the new distance is \\(HX = HY\\) . \n\nWe now compute \n\n\\[H X^{2} = 1 + H M^{2} = 1 + \\left(\\sqrt{A X^{2} - 1} -A H\\right)^{2}\\] \\[\\qquad = 1 + \\left(\\sqrt{n^{2} - 1} - (n - d)\\right)^{2}\\] \\[\\qquad \\geq 1 + \\left(\\left(n - \\frac{1}{n}\\right) - (n - d)\\right)^{2}\\] \\[\\qquad = 1 + (d - 1 / n)^{2}\\] \n\nwhich exceeds \\(d^{2} + \\frac{1}{2}\\) whenever \\(n \\geq 4d\\) .\n\n\n\nIn particular we can always take \\(n = 400\\) even very crudely; applying the lemma \\(2 \\cdot 100^{2}\\) times, this gives a bound of \\(400 \\cdot 2 \\cdot 100^{2} < 10^{9}\\) , as desired. \n\nRemark. The step of revealing the location of the rabbit seems critical because as far as I am aware it is basically impossible to keep track of ping locations in the problem. \n\nRemark. Reasons to believe the answer is \"no\": the \\(10^{9}\\) constant, and also that \"follow the last ping\" is losing for the hunter. \n\nRemark. I think there are roughly two ways you can approach the problem once you recognize the answer. \n\n(i) Try and control the location of the pings \n\n(ii) Abandon the notion of controlling possible locations, and try to increase the distance by a little bit, say from \\(d\\) to \\(\\sqrt{d^{2} + \\epsilon}\\) . This involves revealing the location of the rabbit before each iteration of several jumps. \n\nI think it's clear that the difficulty of my approach is realizing that (ii) is possible; once you do, the two- point approach is more or less the only one possible. \n\nMy opinion is that (ii) is not that magical; as I said it was the first idea I had. But I am biased, because when I test- solved the problem at the IMO it was called \"C5\" and not \"IMO3\"; this effectively told me it was unlikely that the official solution was along the lines of (i), because otherwise it would have been placed much later in the shortlist.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2017/3, proposed by Gerhard Woeginger (AUT) \n"}} +{"year": "2017", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(R\\) and \\(S\\) be different points on a circle \\(\\Omega\\) such that \\(\\overline{RS}\\) is not a diameter. Let \\(\\ell\\) be the tangent line to \\(\\Omega\\) at \\(R\\) . Point \\(T\\) is such that \\(S\\) is the midpoint of \\(\\overline{RT}\\) . Point \\(J\\) is chosen on minor arc \\(RS\\) of \\(\\Omega\\) so that the circumcircle \\(\\Gamma\\) of triangle \\(JST\\) intersects \\(\\ell\\) at two distinct points. Let \\(A\\) be the common point of \\(\\Gamma\\) and \\(\\ell\\) closer to \\(R\\) . Line \\(AJ\\) meets \\(\\Omega\\) again at \\(K\\) . Prove that line \\(KT\\) is tangent to \\(\\Gamma\\) .", "solution": "First solution (elementary). First, note \n\n\\[\\angle RKA = \\angle RKJ = \\angle RSJ = \\angle TSJ = \\angle TAJ = \\angle TAK\\] \n\nso \\(\\overline{RK} \\parallel \\overline{AT}\\) . Now, \n\n\\(\\overline{RA}\\) is tangent at \\(R\\) iff \\(\\triangle KRS \\sim \\triangle RTA\\) (oppositely), because both equate to \\(- \\angle RKS = \\angle SKR = \\angle SRA = \\angle TRA\\) . \n\nSimilarly, \\(\\overline{TK}\\) is tangent at \\(T\\) iff \\(\\triangle ATS \\sim \\triangle TRK\\) . \n\nThe two similarities are equivalent because \\(RS = ST\\) the SAS gives \\(KR \\cdot TA = RS \\cdot RT = TS \\cdot TR\\) . \n\n![md5:513d766afbd4d47158240705a06fe102](513d766afbd4d47158240705a06fe102.jpeg)\n \n\nRemark. The problem is actually symmetric with respect to two circles; \\(\\overline{RA}\\) is tangent at \\(R\\) if and only if \\(\\overline{TK}\\) at \\(T\\) . \n\nSecond solution (inversion). Consider an inversion at \\(R\\) fixing the circumcircle \\(\\Gamma\\) of \\(TSJA\\) . Then: \n\n- \\(T\\) and \\(S\\) swap,\n\n\n\n- \\(A\\) and \\(B\\) swap, where \\(B\\) is the second intersection of \\(\\ell\\) with \\(\\Gamma\\) . \n\n- Circle \\(\\Omega\\) inverts to the line through \\(T\\) parallel to \\(\\overline{RAB}\\) , call it \\(\\ell\\) . \n\n- \\(J^{*}\\) is the second intersection of \\(\\ell\\) with \\(\\Gamma\\) . \n\n- \\(K^{*}\\) is the intersection of \\(\\ell\\) with the circumcircle of \\(RBJ^{*}\\) ; this implies \\(RK^{*}J^{*}B\\) is an isosceles trapezoid. In particular, one reads \\(\\overline{RK^{*}} \\parallel \\overline{AT}\\) from this, hence \\(RK^{*}TA\\) is a parallelogram. \n\nThus we wish to show the circumcircle of \\(RSK^{*}\\) is tangent to \\(\\Gamma\\) . But that follows from the final parallelogram observed: \\(S\\) is the center of the parallelogram since it is the midpoint of the diagonal. \n\nRemark. This also implies \\(RKTB\\) is cyclic, from \\(\\overline{K^{*}SA}\\) collinear. Moreover, quadrilateral \\(KK^{*}TS\\) is cyclic (by power of a point); this leads to the second official solution to the problem.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2017/4, proposed by Charles Leytem (LUX) \n"}} +{"year": "2017", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Fix \\(N \\geq 1\\) . A collection of \\(N(N + 1)\\) soccer players of distinct heights stand in a row. Sir Alex Song wishes to remove \\(N(N - 1)\\) players from this row to obtain a new row of \\(2N\\) players in which the following \\(N\\) conditions hold: no one stands between the two tallest players, no one stands between the third and fourth tallest players, ..., no one stands between the two shortest players. Prove that this is possible.", "solution": "Some opening remarks: location and height are symmetric to each other, if one thinks about this problem as permutation pattern avoidance. So while officially there are multiple solutions, they are basically isomorphic to one another, and I am not aware of any solution otherwise. \n\n![md5:d6dc56a88992b47ae2ef6c0e50673640](d6dc56a88992b47ae2ef6c0e50673640.jpeg)\n \n\nTake a partition of \\(N\\) groups in order by height: \\(G_{1} = \\{1,\\ldots ,N + 1\\}\\) , \\(G_{2} = \\{N+\\) \\(2,\\ldots ,2N + 2\\}\\) , and so on. We will pick two people from each group \\(G_{k}\\) \n\nScan from the left until we find two people in the same group \\(G_{k}\\) . Delete all people scanned and also everyone in \\(G_{k}\\) . All the groups still have at least \\(N\\) people left, so we can induct down with the non- deleted people; the chosen pair is to the far left anyways. \n\nRemark. The important bit is to scan by position but group by height, and moreover not change the groups as we scan. Dually, one can have a solution which scans by height but groups by position.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2017/5, proposed by Grigory Chelnokov (RUS) \n"}} {"year": "2017", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "An irreducible lattice point is an ordered pair of integers \\((x, y)\\) satisfying \\(\\gcd (x, y) = 1\\) . Prove that if \\(S\\) is a finite set of irreducible lattice points then there exists a nonconstant homogeneous polynomial \\(f(x, y)\\) with integer coefficients such that \\(f(x, y) = 1\\) for each \\((x, y) \\in S\\) .", "solution": "## Problem state \n\nWe present two solutions. \n\n\\(\\P\\) First solution (Dan Carmon, Israel). We prove the result by induction on \\(|S|\\) , with the base case being Bezout's Lemma ( \\(n = 1\\) ). For the inductive step, suppose we want to add a given pair \\((a_{m + 1},b_{m + 1})\\) to \\(\\{(a_{1},\\ldots ,a_{m}),(b_{1},\\ldots ,b_{m})\\}\\) . \n\nClaim (Standard) — By a suitable linear transformation we may assume \n\n\\[(a_{m + 1},b_{m + 1}) = (1,0).\\] \n\nOutline of proof. It would be sufficient to show there exists a \\(2\\times 2\\) matrix \\(T = \\left[ \\begin{array}{ll}u & v\\\\ s & t \\end{array} \\right]\\) with integer entries such that \\(\\operatorname *{det}T = 1\\) and \\(T\\cdot \\left[ \\begin{array}{l}a_{m + 1}\\\\ b_{m + 1} \\end{array} \\right] = \\left[ \\begin{array}{l}1\\\\ 0 \\end{array} \\right]\\) . Then we could apply \\(T\\) to all the ordered pairs in \\(S\\) (viewed as column vectors); if \\(f\\) was a polynomial that works on the transformed ordered pairs, then \\(f(ux + vy,sx + ty)\\) works for the original ordered pairs. (Here, the condition that \\(\\operatorname *{det}T = 1\\) ensures that \\(T^{- 1}\\) has integer entries, and hence that \\(T\\) maps irreducible lattice points to irreducible lattice points.) \n\nTo generate such a matrix \\(T\\) , choose \\(T = \\left[ \\begin{array}{ll}u & v\\\\ - b_{m + 1} & a_{m + 1} \\end{array} \\right]\\) where \\(u\\) and \\(v\\) are chosen via Bezout lemma so that \\(ua_{m + 1} + vb_{m + 1} = 1\\) . This matrix \\(T\\) is rigged so that \\(\\operatorname *{det}T = 1\\) and the leftmost column of \\(T^{- 1}\\) is \\(\\left[ \\begin{array}{l}a_{m + 1}\\\\ b_{m + 1} \\end{array} \\right]\\) . \\(\\square\\) \n\nRemark. This transformation claim is not necessary to proceed; the solution below can be rewritten to avoid it with only cosmetic edits. However, it makes things a bit easier to read. \n\nLet \\(g(x,y)\\) be a polynomial which works on the latter set. We claim we can choose the new polynomial \\(f\\) of the form \n\n\\[f(x,y) = g(x,y)^{M} - Cx^{\\deg g\\cdot M - m}\\prod_{i = 1}^{m}(b_{i}x - a_{i}y).\\] \n\nwhere \\(C\\) and \\(M\\) are integer parameters we may adjust. \n\nSince \\(f(a_{i},b_{i}) = 1\\) by construction we just need \n\n\\[1 = f(1,0) = g(1,0)^{M} - C\\prod b_{i}.\\] \n\nIf \\(\\prod b_{i} = 0\\) we are done, since \\(b_{i} = 0 \\implies a_{i} = \\pm 1\\) in that case and so \\(g(1,0) = \\pm 1\\) , thus take \\(M = 2\\) . So it suffices to prove:\n\n\n\nClaim — We have \\(\\gcd (g(1,0),b_{i}) = 1\\) when \\(b_{i}\\neq 0\\) . \n\nProof. Fix \\(i\\) . If \\(b_{i} = 0\\) then \\(a_{i} = \\pm 1\\) and \\(g(\\pm 1,0) = \\pm 1\\) . Otherwise know \n\n\\[1 = g(a_{i},b_{i})\\equiv g(a_{i},0)\\pmod {b_{i}}\\] \n\nand since the polynomial is homogeneous with \\(\\gcd (a_{i},b_{i}) = 1\\) it follows \\(g(1,0)\\neq 0\\) (mod \\(b_{i}\\) ) as well. \\(\\square\\) \n\nThen take \\(M\\) a large multiple of \\(\\phi (\\prod |b_{i}|)\\) and we're done. \n\nSecond solution (Lagrange). The main claim is that: \n\nClaim — For every positive integer \\(N\\) , there is a homogeneous polynomial \\(P(x,y)\\) such that \\(P(x,y)\\equiv 1\\) (mod \\(N\\) ) whenever \\(\\gcd (x,y) = 1\\) . \n\n(This claim is actually implied by the problem.) \n\nProof. For \\(N = p^{e}\\) a prime take \\((x^{p - 1} + y^{p - 1})^{\\phi (N)}\\) when \\(p\\) is odd, and \\((x^{2} + xy + y^{2})^{\\phi (N)}\\) for \\(p = 2\\) . \n\nNow, if \\(N\\) is a product of primes, we can collate coefficient by coefficient using the Chinese remainder theorem. \\(\\square\\) \n\nLet \\(S = \\{(a_{i},b_{i}) \\mid i = 1,\\ldots ,m\\}\\) . We have the natural homogeneous \"Lagrange polynomials\" \n\n\\[L_{k}(x,y):= \\prod_{i\\neq k}(b_{i}x - a_{i}y)\\] \n\nNow let \n\n\\[N:= \\prod_{k}L_{k}(x_{k},y_{k})\\] \n\nand take \\(P\\) as in the claim. Then we can take a large power of \\(P\\) , and for each \\(i\\) subtract an appropriate multiple of \\(L_{i}(x,y)\\) ; that is, choose \n\n\\[f(x,y) = P(x,y)^{C} - \\sum_{i}L_{i}(x,y)\\cdot Q_{i}(x,y)\\] \n\nwhere \\(C\\) is large enough that \\(C\\deg P > \\max_{i}\\deg L_{i}\\) , and \\(Q_{i}(x,y)\\) is any homogeneous polynomial of degree \\(C\\deg P - \\deg L_{i}\\) such that \\(L_{k}(x_{k},y_{k})Q_{k}(x_{k},y_{k}) = \\frac{P(x_{k},y_{k})^{C - 1}}{N}\\) . \\(L_{k}(x_{k},y_{k})\\) (which is an integer).", "metadata": {"resource_path": "IMO/segmented/en-IMO-2017-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2017/6, proposed by John Berman (USA) \n"}} diff --git a/IMO/segmented/en-IMO-2018-notes.jsonl b/IMO/segmented/en-IMO-2018-notes.jsonl index 6c9c759a14c7592183295793ba47b4006809495e..6f602aea60bc2c90176b2638b10a996a85c7b545 100644 --- a/IMO/segmented/en-IMO-2018-notes.jsonl +++ b/IMO/segmented/en-IMO-2018-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2018", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(\\Gamma\\) be the circumcircle of acute triangle \\(A B C\\) . Points \\(D\\) and \\(E\\) lie on segments \\(A B\\) and \\(A C\\) , respectively, such that \\(A D = A E\\) . The perpendicular bisectors of \\(\\overline{{B D}}\\) and \\(\\overline{{C E}}\\) intersect the minor arcs \\(A B\\) and \\(A C\\) of \\(\\Gamma\\) at points \\(F\\) and \\(G\\) , respectively. Prove that the lines \\(D E\\) and \\(F G\\) are parallel.", "solution": "## Problem ste present a synthetic solution from the IMO shortlist as well as a complex numbers approach. We also outline a trig solution (the one I found at IMO), and a fourth solution from Derek Liu. \n\n\\(\\P\\) Synthetic solution (from Shortlist). Construct parallelograms \\(AXFD\\) and \\(AEGY\\) , noting that \\(X\\) and \\(Y\\) lie on \\(\\Gamma\\) . As \\(\\overline{XF} \\parallel \\overline{AB}\\) we can let \\(M\\) denote the midpoint of minor arcs \\(\\overline{XF}\\) and \\(\\overline{AB}\\) (which coincide). Define \\(N\\) similarly. \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGxAcsDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiuK+JupahbeDdXi0idoLuKza4lnQ4aKMeh7M2CAfRWPUCgDtaKhtLgXdlBcr92WNZB+IzU1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVxXxMGoWfhh9b0y6vIpdOkSeeGCdkE9urfvEIB4+Uk7hzx1oA7Wiufu5V8Q2kFjpV7PFC6RzSXtvKQ0cZAZQG7swxwc4Byeq527eBba3jhV5HCDG6Vy7H6k8mgCWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKmp6hHpdjJdyQXU4QcR2tu80jH0CqCf6eprj9b0qS+8Davdyzap9q1OzkL2sUDk73jKrH5ezfgcL0HTJxk13dcd488aL4d8NX8ulNFdaukeYbdQXxyNzMB2UZP4UdLibS3NTwZNLN4M0cXEFxBcxWcMU8VxC0TLIqKGGGAPXPPSt0nAya8g+GHjzxd4u0a6a9t4pHglCi4jRY2dSPQkDj1xjmu42XTnNzo8923/AE3ukYf98/dH5U7wXxP8GZOvFOxtPq1kjlFm85x1SBTIR9QucUz7fdyf6jTpMdmnkVAfyyf0qol/qEahU0RlUdAJ4wBTv7R1L/oDP/4EJ/jR7Wmtk/nf9LE+3X9JljGqydZrSAeixtIfzJH8qPsVy/8ArNTuT7IqKP8A0HP61X/tHUv+gM//AIEJ/jR/aOpf9AZ//AhP8aPrC6L8P+AL2y8/uZY/suE/fmu3+t1IP0BApP7IsT96Et/vuzfzNQf2jqX/AEBn/wDAhP8AGj+0dS/6Az/+BCf40/rL7v8AEXtY+f3Mn/sbTf8AnygP1QUf2Pp3ayhH0XFQf2jqX/QGf/wIT/Gj+0dS/wCgM/8A4EJ/jR9Zl3f4h7SP9Jlj+yLIfdjdP9yV1/kaP7MRf9Xc3if9vLt/6ETVf+0dS/6Az/8AgQn+NH9o6l/0Bn/8CE/xo+svu/xD2sfP7mWPsl4n+r1OY+0saMP0AP60u7VY/wDnzuB/wKI/+zVW/tHUv+gM/wD4EJ/jR/aOpf8AQGf/AMCE/wAaX1hdV+H/AAB+2Xn9zLP9ozR/8fGn3CD+9HiQfod36VNBqVncP5cdwnmf882+V/8Avk4NUP7R1L/oDP8A+BCf41HNdXlwmyfQfNT+680ZH60e1pPdNff/AF+I/br+kzdrA8aXsln4S1QQWVzeXM1rLHBBBbPMXcqQAQoOBk96r41CLm0066tv9lbtGT/vlsgfhivNPiP8SvHXhXXtOtbXT4Y4HQPuMHmC4bJBTIJxgAcAg9+lF4v4X+DX9feXGrGR6r4M06HSfBuk2EEbxiC2RHEkTRsXAwxKsARkg9RW7VDTtWtdQhiKOEmdA5hY4YZGeM9R7jir9EouLs0aJp6oKKKKQwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKytS8SaTo97b2d/ctDPcnbAnku3mt6KQpBPsOafd6/ptlqsOmTzuL2ZN8cKwuxZc4yMAjAPX070AaVFFFABRRVG51KOF2hhUzzqMsinAQert0Ufr7VUYuWwXsXSQASTgDqTWTe6/bW1u80RR414M8j7Igf8Ae/iPsoNZD31zrEhSzVL/AAcGRsrZxn+cp/T6VoWmhxRTpd3srX14v3ZZQAsfT7iDhOnbn3qHUjtD3n36f5v5feYyq3+EzSmseIDzJJa2R6yOmwuP9iP093J6/dqPUtItNPsrfSbCPFxqMqxSTMd0jIMFiW9gBx05rq6w7Ef2j4ru7s8w2CC3j9N55Y/UdKqmm5c83e39aI4cVeUVT6ydvl1/C47WNIkieLU9JQJeWyBTGOk0Y/gP4dP/ANWL2malBqtklzAeDwynqjdwa0a5rVLWXRL59asYy0D/APH7br3H98D1Hf8A/XWnxqz36f5BVj9Xk6sPhfxL9V+v3nQUVFb3EV3bx3EDh4pBuVh3FS1idKaaugooopDCiiigAooooAKKKKACiiigAooooAKbJGksbRyKGRgQysMgg9qdRQG5y8ccWhXi6bfIJdIuHzbSyc+Q5/hJ7ex/+vjf+zXlpzaXHmoP+WNyS35P1H45p17ZwX9pJa3Cb4pBgj09x71k6NfXGn3n9iak+5wM2lwekyDsf9of59T0qo5L9P1OWnJ4aapv4Ht5eXp2+7sbMOpRNIsNwjW07cBJejH/AGW6H+ftV2oJYY542jmjWRG6qwyDVQQXVlzZyedCP+XeZuR/uv1H0OR9KnljLbR/1/X6noqXc0qKrWt9DdFkXckyffhkGHX8PT3HFWazcXF2ZYUUUUgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopsgcxOImVZCp2sy7gD2JGRke2RQBx/wATLJ7zwsHs9x1i0nS801UXcxmjO7AHpt3A+xrU8JXVvrGhWuvxyCabUYUleTH3f+mYHYKSRj1yTkkmptI0vULW5u7vVNQt766mOIXjtTCII8fcALtkZ5znJ75wMUPB3he98K293ZvqcF1ZS3EtxDBHaGL7OXbcUUmRvkBzgYzz1oA6eo5p4raFpZpFSNerMa5U/EvwtJqFzptnqQvNSgYobWCN2Z2HGFOMNz1wTQmn6xrk63OqStYwA5jtoW/eAf73Re3I568jpS5orf7v62/q1yJzUdOpNfa/Jc3Bs7SOd5Mf6iHiUj1dukS/X5uegp0Ggvcqv9qvG0IOVsbfKwqc9W7yHjqeOvFatnY2un24t7SBIYh/Co6n1Pqfc1YqZc01aW3bp8+/z+4wd5fEIiLGioihVUYCgYAFLRRTAq6jeLp+nXF2+MRIWAPc9h+JwKg8N2TWWiQCXJnmzNKT1LNzz79B+FU9eH2+/wBO0ccrNJ504/6Zpzg/U/yroq2WkPU56f7yu5dIq3zer/C34hQQCMEZBooqTsOWdW8K6hvUE6Ncv8wH/Ls5/wDZT/n36MEMAQQQeQRTp4IrqB4JkDxSDaynoRXOWEsugX6aReOXs5T/AKFO3b/pmx9fT/OKkudX6/mcFvq0rfYe3k+3o+nZ6djoqKKKxOsKKKKACiiigAooooAKKKKACiiigAooooAKoatpcWq2fkuxjlQ74ZV+9G46EVfopptO6JnCM4uMldMy9D1WW5Mmn34CalbcSDtIvZx7GtmsTWtKe8Ed5Zt5Wo23zQyf3vVT7H/PerWjavHq1oX2mK4iOyeFusben0rV2kuZGNCpKEvY1Hr0fdf5rr95aubOG6C+YCHXlJFOGQ+x7VALyewO2/8A3kHa6UYx/vjt9Rx9KvUEZGDTU9LS1R2p2HghgCCCDyCKWsz7PNp7GSyXfB1e1zjHunofbp9Ku211FdwiWFsrnBBGCp7gjsfaplCyutUaJ3JqKKKgYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUb2/MLGC3Cvcbdx3H5Y1/vMfT26n9QXl3J5v2S0wbkjLMRlYl/vH39B3+lY/iAf2foTWdsS11fyCAOxyzs3Usfpke3FbQgtHIwxFZUqcp9jhvh18MNN0nXX8WJcTuzvL9kgYACNWypJ9TjIHt616tUNrbpaWkNtH9yJAi/QDFTVjJpybRjT51BKbu7ahRRRUlhRRWdrt8dO0a4nTPm7dkYHXeeB/PP4U0m3ZEVJqnBzlsipoY+36zqWqnlA32WA/7K/eI9ia6GqOj2A0zSLa0GMxoN2O7Hk/qTV6tZtN6Cw1NwpLm3er9XqwoooqToCqmpadb6rYyWlyuUboR1U9iPerdFCbTuiZRjOLjJXTOe0fUJ4bltG1Nv9MiGYpD0nTsw9/X/wDXW5VHWtIXVLZSj+VdwnfbzDqjf4GoNF1Vr+OS3uk8m/tztniPr/eHsac4prmXzOOnKVKXsZv/AAvv5PzX4r5mrRRRWR1BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWFq9lcWd2Na0xN1wgxcQj/lun/xQ/wA+lbtFVGTi7mVakqsbP5Ps+5Fp9/b6nZR3ds+6Nx+KnuD71arl7uOTw5qDanaqW06dv9LgUfcP/PRR/P8AzjpYpY54UlicPG4DKyngg1pJLdbBQrOV4T0kt/PzXk/w2H1TuLRxMbq0YR3OMMD92Uejf0PUfpVyilGTi9DpIrO8S7RhtMcyHEkTfeQ/1HoehqzVG7tDKyzwOIrqMfI+OCP7rDup/wD1VJZ3gulZWQxTx8SxE8qf6g9jTlFNc0f+GNIyuWqKKy/EQZtDuESWWKaTbFC8UjIyyOwRDlSDjcwrMo1KK4bwxq9yfDmu6TrdxPPqOhSSxTyiQpLNFgvFJkYILJj8Qa6nRdPk0zSoLae7uLu4CDzZ55S7O+ACeegyOgwKANCiiigAooooAKKKKACiiigAooooAKKKKACiiigAqle3bxutrbANdSDIzyI17s3t7dz+OJL27FpCCq+ZNIdkUYPLt/QdyewqOztTbqzyN5lxKd0smOp9B6AdAK0iklzSJk7DrW1S0i2KSzMdzu33nbuTWHIf7S8ZAdYdMiyf+ur/AP1v1Fb1zcJaWstxKcRxIXb6AZrF8LwOulG8nH7+9ka4f/gXT8MYP40+Z2cmefiPfqQpfN/Lb8bfcbVFFFYHQFFFFABWFqA/tHxNp+njmK2Bu5h7jhB+dbhIUEk4A5JNYvhhTdfbdYcc3sx8vPaNflX+ta09LyOav78oUu7u/Ra/nZfM6CiiikdoUUUUAFFFFABWJrmlzSyR6npxC6jbjgdpk7of6f5I26KcZNO6MqtKNWHLL/hvMzdL1OHVbJbiLKsDtkjbqjDqDV2sHV7ObSb1tb09Cykf6Zbr/wAtF/vD/aH+e+di1uob21jubdw8UgyrClONveWxhRqSu6VT4l+K7r9ezJqKKKzOgKKKKACiiigAooooAKKKKACiiigAooooARlV0KOoZWGCCMgiucgc+Fr8W0rE6Pcv+6dufs7n+En+6f8APc10lQ3VrDe2sltcIHikGGU1cJW0exhWpOVpw0ktv8n5P/gluiuc0m8m0m9XQ9QcspH+hXDf8tF/uH3H+e2ehEinGMnJIBA9KuUbGtGsqsb7Nbrsx1VLu1aRkuLdhHdRj5GPRh3VvY/p1qyGY7fkIBznJHFA3naW2jj5gOefY/8A1qItxd0bFa31eymkjt3nihu2JH2aSQCTI6gDqfqO1UdVv0bXdL077NeuPP8ANkkSzlaEYU7Q0gXaPmKnrxt5xXmvjH4SaxrfxGh8UWmqx/Z0aGV4ySsyGMLxHgbcnbkZIwTXsdvPHdQJNE25HGQf896mS6paGqdzjde0C+/4T/S9U06PNrfoLTVB2Cxt50bke+1o8n++BXbUUVIwooooAKKKKACiiigAooooAKKKKACiiigApk0scELyysFjQFmY9gKfWZKf7RvvK62tswL+kkg5A+i9T749DVwjd67CbsOs45J5Tf3ClZHGIo2/5ZJ6fU9T+A7VdooolLmdzI5/xS7XEFppMZIkvpgrY6iNeWP8q2kRY0VEACqMADsKwrP/AImXiu9vTzDZKLWL039XP1HT8a3qKmlonFQ9+c6vd2Xov+DcKKKKyOkKKKKAMfxLcvDpDQQ/8fF24toh7twf0zWvZ2yWVnDax/ciQIPwFYhH9peMETrDpsW9v+ur9P05roa2ekUvmc9D36k6nyXy3/HT5BRRRUnYFFFFABRRRQAUUUUAFcvPG3ha/NzEpOkXL/vUA/493P8AEB/dP+e1dRTJYo54XilQPG4KsrDgg1UZW0exhXo+0ScXaS2f9dH1GKyugdGDKwyCDkEUtc7aSSeHNQTTbli2nTt/okzH7h/55sf5f5x0VROPK/IijV9otVZrddv66BRRRUGwUUU0ugz8w4IU+xPb9RQA6im7+uFYkEA8Y/n9aMvzhR1HU9R607AOopuGOfmxzkYHb0o2erMec9cfyoAdnFN3qcYOckrxzyP5dKAijoo656d/WnUANDE4wrckg+3Xn/PrR85xkKOTnvx2/pTqKAGgNxl+hJ4HUen+fSgIBjknBJGSf896dRRcCjqelwanYtbONhzvjdRgo/8AeFV9D1SeWSTTNSAXUbccntMnZx/X/IGtWVrWlNfxx3FrJ5N/bndBKPX+6fY1pCX2ZHNVhKMvbU9+q7r/ADXT7jaorM0XVl1S2YSJ5V3CdlxCeqN/ge1adDTTszqp1I1IqcdmFZ8h/sy7M44tJ2/fDtG56P8AQ9D+B9a0Ka6LJGyOoZGBDKehFOMrb7Fp2JqKz7CRreVtPmYkou6F2PLx/wCK9D+B71oVMo8rsap3CiiipGFFFFABRRRQAUUUUAFFFFABRRRQBU1C5eGFY4cfaJm2RZ5we7H2Ayf07062t0tbdIY87VHU9Se5PuTzVWzP2y5k1A8oQY7f/cB5b/gRH5AVfrWXurk+/wDryMpO7Cqeq3y6bpVzeNj90hKg926Afnirlc74hP2/U9N0ccrJJ9onH/TNegPsTx+FKCu9TmxNR06Tcd9l6vRFnw9ZNYaLAkmfOkHmyk9SzcnPv2/CtSiispPmd2OnTVOCgtkFFFFIsKjnmS2t5J5DiONS7H0AGTUlYfiV2nt7bS4iRJfzCM46hByx/LH51UI80kjKvU9nTclv09en4kvhaBxpbX0wxPfSNcP7A/dH0x/OtymoixRrGihUUBVA7AU6rk7u5pRp+ypqHYKKKKRqFFFISFUsxAAGST2oAWimmRQG5Jwu4gDJx/WhmYbgqEkDI5ABPp/n1osA6imtvO4LtHHyk88+49OnehlJ3fOwBGBjHHv/AJ9KAHUjOqAlmAAGSSegpGjVt24ZDDBBORj6fjS4AJOBk9TRoBU1Gzt9RsprS5jZ0Yc4HIPYg+orI0q9ubO6Ojaiwa5QZt5mOBOn1/vD/PrXR1nazpMerWgTcYriM74Jl6xt6/SrTTXK9jlr0pX9rT+Jfiu3+XZ/MtEPzgqORjjt3oK5zlm5II5xj24+n61l6Nqj3Yks7xRFqNt8s0f970Yex/z2rWrKScXZl06kakVKI3YpzkZyQ3PPI6fyFOooqSwooooAKKKKACiiigAooooAKKKKACiiigDD1jT54bldZ0xf9NiGJIx0nTup9/T/APVWtpuo2+q2KXds2UbgqeqnuD71NXO38UugX76vZxl7SU/6bAvb/poo9fX/ACRtF8y5Xv0/yOSd8PJ1Y/C/iXbz/wA/v9enoqOCeK6gSeBw8Ui7lYdxUlSdyaauirfW7zRLJDgXEJ3xE+vofYjg/WrFrcpd2yTx5AYdD1U9CD7g5FOqih+xant6QXZyP9mUDn/voDP1B9ate9G3Vf1/wS4uzNKiiisjQKKKKACiiigAoopkpkETmJVeQKdqu20E9gTg4Hvg0APorn/CfidfFFldz/ZGtZLW5Nu8Zffn5FcMDgcFXB6Ulz4nYeL4fDtjYi5nNu1zNM83lpEgZV9CSfmH+PBwAdDVDU5GaOOzjYiS5OzI6qn8Tflx9SKv1m2h+1XtxenlAfIh/wB1T8x/Fs/gorSno+bsTJ2RcRFjRURQqqAAB2FOooqTMK5vRD/aGr6lq55Rn+zW5/2F6kexPNaHiK/On6HcSxk+c48uIDqXbgY+nX8KfpViNN0q2tBjMaAMR3bqT+earaDfc46n7yvGHSOr9Xov1/AuUUhYAgEgE8AetIHU4xk5JHArI6B1FNDMcfIQDnOT0oG84J2j1A5/WiwDqw7Ef2j4ru7s8w2KC2i9N55c/UdK0NQuhp2nTXcjk+TGTg4G49v14/GofDenmx0W380ZuJAZZWb725+Tn9B+FawVot/I5qn7ytGn0XvP9Px1+Rrb1yBuGSMgZ6j1/UUiuG24DYYZyRj8/Q0oAUAAAAcAClqdDtGgudp27QVycnkH0/yaAH4yw+7zgd/WnUUXAbs6ZZiduCc9fy70BFBBCjOMZ74p1FFwCiiigAooooAKKKKACiiigDG1zSpbkx39gRHqNtzG3aRe6N7GpdJ1SLVbPzUUxyodksTfejYdQa1K57WLGewvP7b01N0gGLq3H/LZB3H+0P8APva99cr+RxVoujJ1obP4l+q8117rzRuUVBZ3kF/aR3Vu++KQZB/ofep6xatozojJSV1sFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABSEBgQQCDwQaWigDm0ZvCuobSSdGuX4J/wCXZz/7Kf8APv1IIIyDkVVuLeK7t5IJ0DxSDaynuKxNLuZdDvk0W+kLW7/8eU7dx/zzJ9R2/wD1Ctk+deZyQf1aXI/ge3k+3o+nbbsdLUF5bfarV4t21+GR/wC6w5B/A4qeikm07o7yOxuftdokpXa/Kun91gcMPzBqxWdEfsurPH0iuxvX2kUYP5rg/wDATWjRUSTutmap3QUUUVAwooooAKoa3NJDo1z5LFZ5F8mFh2kchE/8eYVfrO1TQ7HWfI+2/aSIHEiCG7lhAYHIJCMMkEcZoA5XRmGk+OvFOlWiqj3C2U9tHjgAxGNmx6L5IJ9eB1IqXwlAlz418UakmXitWh0qB25J8tfMlJ9zJKcn1FdS+k2T3s16YMXc0C2zzo7K/lqWIUMDkcsTkc/kKg0bw/pugLcLp0c0a3ErTSiS5kl3OxyzfOx5J6nvQBz/AI6+JGh+CDDaX80ovbqMtEsUe/YOgdvbP1JweK6XTpLVtNtTZyCW2aNfKdOQwxkHNcn4z+Hug+OvEFm2qRzh7OD53gk2l1LfKh4PHDn15612VvbxWlrFbW8YjhhQRxovRVAwAPwrTVKz9TOTHhicfI3JIPTjrz/n1oG84ztHJyOvHOPx6U6kZlRCzEBVGST2FSSc7qOdR8UWNgSGiswbuXHA3Zwg+o/rW4EAx1OCSMk9/wD9dYfhoNdJeavICHvpiUz1Ea8KP51vU6r15exxYX3ouq/tO/y2X4aiKqqMKABnOAKWiisjpCiiigDC10fb9Q07Rxys0nnTj/pmnOD9T/KuirntDH2/WNS1Y8oG+ywH/ZX7xHsTzXQ1tLRKJhhfe5qv8z09Fov1fzCiiipOsKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOYu4m8M37X8Ck6XcN/pMSjPksf4wPT1/8A1Y6CORJY1kjYMjAFWByCPWpZI0ljaORQyMCGUjII9K5mBm8M362MzE6VcN/o0rHPksf4CfT0/wD11TXOvP8AM4Gvq0v7j/8AJX/k/wAH5PTo6KKKxOsKKKKACiiigAooooAKKKKACiiigAooooAKp6np0Gq2T2twODyrDqjdiPerlFNNp3RM4RnFxkrpmPompzid9I1M4v4RlXPSdOzD39f/ANeN2sfWdK/tGBHhfyb2A77eYfwt6H2NP0TVzqUDxXEfk31udlxCex9R7GtXaS5kY0Zypy9jUfo+67PzX4rXuWdSid7QyRDM0DCaMDuV7fiMj8auxSpPCksZ3I6hlPqDyKSqelHyluLM/wDLvIQg/wBhvmX8skf8Bp7w9DugzQooorI0CiiigAooooAKKKrahO1tp9xMn31Q7B6t2H54pxTbsgK2nHzftN2f+W8zbf8AdX5R/LP41eqK1gFraQwL0jQIPwGKlq5tOTaMQrE8VXLx6P8AZYT/AKReuttH/wAC6/pn86265xz/AGl4yx1h0yL/AMiv/wDW/UUQ0d+xy4yT9nyLeWn37/crs2bW3S0tIbeMfJEgRfoBipaKKyNUklZBRRRSGFZ2u3x0/RridM+aV2Rgdd7cDH55/CtGsLUB/aPibT7AcxWoN3MPccIPzq6avLUwxMnGm1Hd6L1f+W5q6PYDTNJtrMYzGg3Y7seT+pNXaKKbd3dnTCChFRjsgooooKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC9s4NQtJLW5QPFIMEf1HvU9FCdtRSipJp7M5zSrufTr3+xdRcs4GbW4P/LZPQ/7Q/z771VdX0qLVrIwuxjlU74ZV+9G46EVS0bU5Z2k0+/ATUbbiQdpF7Ovsac1zLmXzOKm3QkqU9n8L/R+a6d15ovXWo2Niyrd3tvblhlRLKqZ+mTUUWtaVPKsUOp2UkjnCok6kk+wBrkfHUi3nirwjpH2eS4Rbt9RmSJQzBYV+Xj0Luv5Vu2yW/ia1ju5rE24tr4tb+dEBIDE20n2yysPp9ayOuxv0UUUCCiiigAooooAKKKKACiiigAooooAKxdZ02fz01XTcLfwDBXtOndD/T/9WNqiqjJxd0Z1aUaseV/8N5lfS9Tg1axS5gOM8Oh6o3dTQ58jWoH/AIbmMxN/vL8y/pvrG1G3l0W/bWrFC0L/APH7br/Ev98D1H+e9ad5dQ3OkR6jbOHjiZbhWH90H5v/AB3cK3gk3ps9BYetJv2dT4l+K7r+tGa9FFFYHeFFFFABRRRQAVQ1T5zZ2/8Az1uFz9Fy/wD7KPzq/WfP+81u3XtFA7n6sVA/QNWlL4r9hS2LlFFFSZEV1cJaWk1zKcRxIXb6AZrF8MQSJpRu5x+/vZGuH/4F0/DGPzpPFLtcQ2ekRkh76YK2OojXlj/KtpVVEVFACqMADsKctIW7nE/3mIfaC/F/5K33i0UUVkdIUUUUAISFUkkADkk1i+GFN0L3V3HzXsx8vPaNflX+tP8AE1y8WkNbw/8AHxeOLaMe7cH9M1r2lslnZw20f3IkCD8BWsdIX7nP/ExCXSKv83ovwv8AeTUUUUjsCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKbJLHEu6R1RfVjgVTOsWGcJcCY+kCmQ/+Og1ShKWyAvVka3pL3qx3dmwi1G2+aGT+96qfY/571Z/tCV/9Tp90/u4WMf+PEH9KN+qSdIbWAerSNIfyAH86tQlF3M6tONWLhI4jR11rUvGl14iktdNDpZrp8do97Irw4cu5I8o9Tjp2WumsLbV5tXa61SKxt7aFMWsFrM0uXb77uWRcHHAwP4myea8y8e/C7xZrnj621/TtRt/KVYyXQmJ4CnXavOc4456nBwK9Vgs7i5gSaLXLtkYZB8qH/4jrWFRNO8Vdf13JSnGKUvefl/w5pUVR/sy8/6DV3/37h/+Io/sy8/6DV3/AN+4f/iKzvL+V/h/mHNL+V/h/mXqKo/2Zef9Bq7/AO/cP/xFH9mXn/Qau/8Av3D/APEUXl/K/wAP8w5pfyv8P8y9RVH+zLz/AKDV3/37h/8AiKP7MvP+g1d/9+4f/iKLy/lf4f5hzS/lf4f5l6iqP9mXn/Qau/8Av3D/APEUf2Zef9Bq7/79w/8AxFF5fyv8P8w5pfyv8P8AMvUVR/sy8/6DV3/37h/+Io/sy8/6DV3/AN+4f/iKLy/lf4f5hzS/lf4f5l6iqP8AZl5/0Grv/v3D/wDEUf2Zef8AQau/+/cP/wARReX8r/D/ADDml/K/w/zL1FUG066X72t3Q5xzHD1/74pP7Puv+gze9dv+pi/+IovL+V/h/mHNL+V/h/maHWuZmj/4Ru6kBUnRLwlZFH/Lu7cZ/wB0/wCffW/s6+PTV7wc4OUh6eo+Sqer+H9R1LRr2yTXLhHuIZIgzRREDKkA8ID1IPH/ANetITlF/Dp8v8zGrTlUs4pqS2en+ez6mxo8/wBo0i1csGYIEcg5+ZeD+oNc7Hqt14p8TajplhcSWukaU4hu7iE4kuJyMmJG/gVQRuIw2SACOp4z4HeDNa8MPrNxqN5GYJXEKQROWDMvPmcgY4Ix3OTnGBXV+FI/+EUvNd03UY5YxdapNfW1yImaOdJSCBuAwHBypU4PAIyKqTu7rqejF3SaNK/0a/t9S0f+yr69Sza7H29JLh5t0aozr8zklfnVVOCMhuc10tcfoUWrXXjXVbqaTUotFiiiFlFcMQsztv8AMfB+YAYACn646V2FSMKKKKACs+H59ZvX/uxxR/lub/2YVoVnWPzXWov/AHrnA/BEH9DWkNpen6omexdooqnq18um6Vc3jY/dISoPdugH54qUruyMZzUIuUtkZFkf7S8V316eYbNRaxem7q5+o6fQ1vVl+HrFrDRbeOTPnOPNlJ6lm5Offt+FalFR3locuFi1T5pby1fz/wAtgooorM6AooqOedLa3lnkOI41LsfYDNANpK7MbH9peMEXrDpsW4/9dX6fpzXRVh+FoHGltezDE99I1w/sD90fTH863K2no7djHCJ+z9o95a/5fhYKKKKk6gooooAKKKKACiioJ721tv8AX3MMX++4X+dNJvRAT0VR/ta1b/Uief8A65Qsw/PGP1o+2Xkn+q02Qe88qoP03H9Kr2Uuqt66fmBeoqjt1STrJaQD0VGkP5kr/Kj7BM/+u1G5b/ZTag/QZ/WjkXWQF4nAyaqSapYRNte8h3/3A4LfkOaYNHsCcyQecfWdjL/6ETVuOGKFdsUaIvoqgCj92u7/AA/zAqf2or/6i1u5vpCUH5vgUfaNRk/1djFGPWafn8lB/nV6ijmito/1+AFHyNSk+/ewxD0hh5/Nif5Uf2YH/wBfeXk31l2D8k21eoo9pLpoBTj0qwjbctpCX/vsu5vzPNXAABgDAHaiipcpS3YBRRRSAKzp1OnTtdxgm2c5uEA+6f74/qPx7c6NFVGXKwEVgyhlIKkZBHelrNQ/2VOIjxYyNiM/88WP8P8Aunt6Hj0rQaRV3ZPKjcQOSB9PwNEo222AdRTWfG7CsxUZwO/sM8Z4obf820L0+Uk9/f8ASpsA6imsrHcN+0EYBA5B9ef8KCgbdkthhjAJFAClgoyxAHqaQyKM85IIBAGSM0u1ck7Rk9TjrS0aANLHnCHggduRxz/n0oO85xtHIweuRxn6Hr/ninUUANKsc/ORyCMDoOOP8+tBjU5yCckNyc8j+XSnUUXAQKqkkADJycDqaWiigAqC9uBaWNxcnpDE0h/AZqes3Xfm0poO9xJHBj2dwp/QmoqO0W0RUbjBtEWgW5smNo3VbW3Y+7YZSf8Ax2tus8fLry/9NLY/+OsP/iq0K0mrWt2X4aG1NKMUl0CiiioLCiiigArO03lLlvW5l/RiP6Vo1naX/wAesp/6eZ//AEa9aR+B/L9SJl2ud8QH7fqmm6OOUd/tE4/2F6A+xPH4V0Vc3oZ/tDVtS1c8o7/Z4D/sL1I9ieaI6Xl2ODF+9y0f5nr6LV/5fM36KKKxOgD04rkdA1jX9efVik2mxw2N9JZRv9lkPnFMbm/1nyjJI79DXRarqEWk6Pe6jN/qrWB5m+iqT/Sud8ErF4d+HGm3GqTpAWg+13Mspx88pMjZ98tigfQ1NA11tWl1GyuoFt9R02cQXMaPuU5UMjqcD5WUg8jI5HvTfErNPBa6VESJL+YIcdQg5Y/yrL8G2VxbrrniXUYpIJtXuPtIgdcPFAi7Ygw/vbRkjtnHauN8B/FI+NvH06PosyCG0c2qROHKgMMls4AJz16dq0pW5jHEU5VIOEetk/Tr+B7KiLHGsaKFRQAoHYCnVR8/UZP9XYxRj1mn5/JQf50eRqUn+svYYh6Qwc/mxP8AKr5O7X9elzoL1MkljiXdI6ovqxwKqf2Yr/6+7vJvrMUH5Jtp0elWETbltIS/99lDN+Z5otBdRjTrFhnEdwJj6QKZD/46DR/aEr/6nTrp/dwsY/8AHiD+lXgABgDAoo5oLZfj/wAMBR36pJ0htIB6s7SH8gB/Oj7Jeyf63UnX2giVB/49uNXqKPaPol/XqBR/sm2b/XNPP/11mYj8s4/Sp4LG0tv9RbQxe6IBU9FDqTejYBRRRUAFFFFABRRRQAUU0SKcYOckjI5GR1/lQHJxhGwSeemKLAOopo3nbkKOuQDmgK3ylnyQOQBgH/P1osA6k3AMFyNxGQKQIF28sSowMk/r69KVVVFCqoVVGAAMACjQBBIrbdpJDDcCBxj6/jQGY4+QjIzyeh9KdRQA0bzjJUfLyBzg/X/61Gwnq7H5cHHH406ii4EclvDNE8csaujrsYNzuX0NVLWV7WcWNwxYH/USt/GB/Cf9ofqOfWr9Q3VtHdwGKTI7qynBUjoQfUVcZfZlsBNRVOzuZGZrW5wLqMZOBgSL2cf1HY/hVyplFxdmAUUUUgCiiigAooooAKKKKACiiigArN1H97qWlwdvOaZh7KhH/oTLWlWaP3viVvS3tAPxkf8A+1is6myXmjOpsl3a/wAyaTjW7M+sEy/rGf6VoVnz/wDIYsf92X+QrQrae0fT9WdENgooorMoKKKKACs7S+LeYelzP+sjH+taNZ2ncG8X+7cv+uD/AFrSPwP5ETK/iK+bT9DuJY8+c48qIDqWbgY9x1/CpNKsV03S7a0XH7pAGI7t1J/PNZ2pH+0fFVjYjmGzU3Uo7buiD6jr9DW7SnpFL5nnw/eV5T6L3V+b/Gy+QUUVWu7+3stqysTK/wByJBud/oo5/HpWLaSuzobSV2Jf6Zp+qweRqNjbXkIOfLuIlkXP0YGsn7FodneLHpmh2Ut9D90W9ui+T/vPj5P5+gNXxa32o83btZ2x/wCWET/vGH+046fRfzrRt7aC0hWG3iSKNeioMCkuaW2i/r+tfuEueW2i/rp/n9xlzWBMEl3rEouFiUv9nQYiXHPTq5+v4AUuheHdN0ZGnttNtLa8uBuuZYYVVnY8kEgdM9qtX37+4tbMdHfzZP8AcTB/9C2j86vVuoRhDTd/1/mXGCjsFFFFIsKKKKACikLqoyzADIHJ9aQuOeGOCAePXH+NFgHUU3Lc4ToQOTjI4yf5/l+NBD84KjkY47cZ/rRYB1FNKZzlmOSCOcY9uO3+NHlqc5Gcndzzz/kUAHmJ/eHXb17+lG/PRWPODxjHvz2p1FADcucfKByQcnt6/wAqAG4yw4JPA6jnA/l+VOoouA0J0yzEgkjnHrxx1HNAjQYwo4JYcdCep/U06ii4BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFa8tTcKrxt5dxEd0UmOh9D6g9xS2d0LqM7lMcyHbLGTyjf1HcHuKsVSvLeRZBeWozcIMMmcCVf7p9/Q9j9TWkWpLlfyAu0VFb3Ed1As0RyreowQe4I7EVLWbTTswCiiigAooooAKKKKACiiigArN0395f6pcdjOIl+iIo/8AQi1aVZug/No8U3/Pwz3H/fbFh+hFZy1ml6v9P1M5azivV/p+pNNzrFkP9iU/+g/41oVnvzrtsP7ttKfzaP8A+vWhW09o+n6s6IbBRRRWZQUUVi614lttDvrC0ntLuaW/k8m38hVYO+CdvLDHAJyePegDarNt2WG91PeQqiVZST2BjUf+ymoV18DU7SxuNM1C2e7ZliklRChZVLkFlY4OFOM9cVjeK9RjtbyXTY54lvNTiihijLgMfmYMcdcYOM1rSV7r+t0YYmp7Ok59i14ZVrmO81eQEPfTFlz1Ea8KP51tT3ENrC008qRxr1ZzgCs23uv9HjstHhE6QqI/Pc4iTHHX+I+w/EirNtpkKzpcXc32u7xuR3xtT/cXoOvXk+prCU3Uk3D/AIBx4eLjTUI6vq+l+vrqRCa+1Hi1Q2lsf+XiZP3jD/YQ9Pq35Grtnp1vY7miUtK/+smkO53+rH+XQVYD7sYVsFc8jH8+9ALnHyhcrnk8g+n+TTjTs7vVnTGmk7vVjqKbhyOWA+XHA7+tVr+T7PZTSDLOU2IpP3mPCj8SRWijd2NCO1ZZbq7vXICA+ShJ4Cpncf8Avot+Qq6zqu7OSVG4gAk4/wAiorS1S0to4lAJRApfHLY9fxJP41PVTactAGszDdtQkgZHOAT6f59aG3ncF2jj5Seefcfl3p1FRcBpUnd87AEYGMcUFFbORkHGQTkflTqKLgIAASQACevvS0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZ9wjWE7XsKloX5uI1H/AI+B6jv6j3FXkdZEV0YMrDIIOQRTqzR/xKp8dLGVuP8Api5/9lJ/I+x40Xvq3X8wNKiiiswCiiigAooooAKKKKAKWrztbaNezL99YXK+7Y4/XFWLWBbW0ht1+7FGqD6AYqlrXz29tb/897qJPqA28/oprSrNazf9f10M1rUfov6/IpxfPrsv/TO2T/x5m/8Aia0Kz7H59Q1CX0dIh+Cg/wA3NaFbVN7eS/I6I7BRRRWZQVwOsG71T4taZBZRQS/2Lp0l0wmkKKJJz5agkKedqseneu+PTriuf0vwqml6/f6yuq6hcXN/5YuFn8na4RSqD5YwQBk9COetAFzR4ry50qzn1iNBfh2nKrnERbcAo6dFbbzXk/jv4W3WpfFCx8SyapGunXV3AkiMCZIioACrxjB29T0J6GvbKyfElqLrRJlLFdhD7h1UA8kfhmmouWiIqX5Xy7l+OGOJUVEACLsX1A44z+ApwAAAAAA6AVV0y6a806GaQBZSNsqj+F1OGH4EGrdClzJNGUWmk0FFFFMoKo3H+kanb2/8MIM7/Xog/Pcf+A1eqjpv74T3h/5eHyn+4OF/PBP/AAKrhonL+tQL1FFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU2REljaORQyMMMpGQRTqKAM+2d7KdbKdi0bf8AHvKx6j+4T6jt6j6GtCorm3juoGhlB2noQcFT2IPYiq9ncSeY1pdEfaYxkMBgSr/eH9R2P1FaP31zLfr/AJgXaKKKzAKKKKACiiigDNu/3uuadF2jWW4PsQAg/wDRhrSrNg/e+Ibx+0MEcQ+pLM36bKtX85ttPuJl5ZIyVHqccD86iknJu3V/8Azp63fd/lp+gzSPmsmm/wCe00kn4Fjt/QCr9Q2kAtbKC3HSKNU/IYqatKjTk2jpWwUUUVAwooooAKZNEs8EkLjKSKVYexGKfRQnYDndClaK4ltpDzKnnD/fU+XKP++gD/wOt6ufvx9g1B7gcCCVbn/tk42SD8CN/wCVdBTek2vn8nr/AJo5Ye63Dt+v9MKKKKZoU9TkZbIxxnEs5EKEdi3GfwGT+FWo41iiSNBhEUKo9AKpn/SNYA/gtUz/AMDbgfkoP/fVXquWkVH5gFFFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVry1+0xqUby54zuikA+6f6g9CKs0U03F3QFazu/tKMrr5c8Z2yx5+6fb1B6g1ZqneW0hdbu1x9pjGME4Ei91P8AQ9j+NTW1zHdwLLHnB4IIwVI6gjsRVSSa5o7fkBNRRRUAFFFNkdYo2kc4VQWJ9hQBn6R+8N/c/wDPa7fB9kxH/wCyVJqH72Wztf8AnrMGYf7KfN/MKPxpuhoyaHZ7xh3iEjj/AGm+Y/qTUkA8/WJ5f4beMQqf9psM36bKMPpHm8r/AD/4ciivdRoUUUVJ0hRRRQAUUUUAFFFFAGZq8SfuJ5F3RZMEw9Y5PlP67T+dJo0rvp6wzMWntmMEhPUleAfxGG/GtC4gS5tpYJBlJFKt9CKwtNmeLVNsx+e5jKS/9d4uCf8AgS4I9lpy2jLtp9+34/mc9Vcs1L5G7SO6xozsQFUZJPYUtUdU/exRWY63LhG/3OrfoCPxFXCPNKxQulo32Tz3BElyxmYHqM9B+C7R+FXaKKUpczbAKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZ9zG9nO19ApZG/4+IlH3h/eA/vD9R9BWhRVRlysBsciSxrJGwZGGVYHginVmt/xKpy4/wCPGVssP+eLnv8A7pPX0PsTjSolG2q2AKztdYjRLtFOGlTyVPu52D9WrRrN1b95Lp1v/wA9btWP0QF/5qKxq/A0Z1fga7/qXneO1tmdsLFEhJ9gBUelwvFYI0oxNKTLIPRmOcfh0/Cob/8A0ia3sR0lbfJ/1zXBP5naPxNaVbP3YJdzeCCiiisywooooAKKKKACiiigArndeja0nF5EpPzCYAf89EByPq0e5fwFdFVe+tReWjw7trHlG/usOQfzpqzvF7P+vw3IqQ54uI6N1ljWRGDIwDKR3BqnD/pGrTzdUt1EKf7xwzf+yj8DWfoeoLBotxHMpRtPZo2TuFHKgeuB8vvtrU0+BrexjST/AFpy8h9XY5b9SauDag299v8AP/IxhLmimWqKKKksKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEZVdCjqGVhggjIIrPt2bT51s5WJgfi3kJ6f7BPr6HuPcc6NRXFvHdQNDKuUb8CPQg9jVxklo9gJazZf3viO2XtBbSSH6sygfoHqWzuJElNldNmdBlH6ean976juP8azZHa41i/hiYiSYx2u4dURV3u3/kTH1IrOdN80Yd3/AMG/4GdTXlXd/wDB/Q09OH2iWe/PSU7Iv+ua5wfxOT9CK0KaiLHGsaKFRQAoHYCnU5y5nc6UrIKKKKkYUUUUAFFFFABRRRQBka/4ht/DsNtLc2t1MlxOlunkBWPmOQEXBYHkntn3xTH8S29tfWdnqNpd6fJeyeVbNcBCkkmCdm5GYBiAcA4zjisPxYJdU8ceFdHtyh+zvNqswcEgCNdkZOP9uT9Ki1Hdd/EjQ9O11llVI5b3TktgQglQYLSg5OQG+Ug45ORnFAHCfEfxp4i8OfFKDT9L01XtbsW5aJo8/bWDZ4PbB+X8Ocg17J9svP8AoGTf9/Y//iqu3FvFdQPDKuUcEH1H09DVSxnkYPbXBzcwEK5/vj+F/wAf5gjtWsPhelzOUUthv2y8/wCgZN/39j/xo+2Xn/QMm/7+x/41eoo51/Kvx/zJKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwKP2y8/6Bk3/f2P8Axo+2Xn/QMm/7+x/41eoo51/Kvx/zAo/bLz/oGTf9/Y/8aPtl5/0DJv8Av7H/AI1eoo51/Kvx/wAwOY8V6jqNr4Zv7+10iZ7yzgeeDEiHDqCc4ByR6gdRkVx3wR8U6z4rGuXmsWy7lkTy7lE2KxbduQD2wvT2z2r0m6/066Fgv+qAD3J/2eyf8C7+wPqK0WIjjYqmdoJ2qOtFR6LoVGK3ZmX2v2lnqCabGk15qLp5gtbZQzqn95iSFQehYjPbNRx+JLY6xbaRPa3dtqFwrSJDKin92oyX3KxXGcDrnJHHOa5/4Uo914OXX7phJqOtTyXl1J1/iKog/wBlVAAHbmusNvZXGspd43XlpC8OR/CshRiPr+7U+341kaF2iiigAooooAKKKKACiiigDnT4T/4qObXV1zU1vJbcW3SAqkQYsFUGL1PXrVrT/DlpY6rNqsktxe6lLGITd3TAusYOdihQFVc84AGT1zWxRQAVR1CCTKXlsu64hB+Qf8tE7r9e49x7mr1FVGXK7g1crwTx3MCTRNuRxkGpKoSj+zLpph/x5ztmQf8APJz/ABfQ9/Q89zV+qlFLVbMxasFFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVXvLr7LCCq75nOyKP+8x6D6dyewBqWWWOCJ5ZXCRoMsx6AVWsoZJ5jf3ClXYbYY26xp7/wC0ep9OBVxS+KWw0rk9la/ZINrNvlc75ZP77Hqfp2HoAKs0UVm227s1MKy8OHSfNh0rUJ7SylkaX7MER1iZiWby8j5QSScHIGeAK1rW1itIike4lmLO7HLOx6knuf8A6wHAqeikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjosiMjqGVhggjIIrNhLafOtnKxMDnFvIxzj/YJ9fQ9x7jnTqOeCO5gaGZdyMOR/X2NXCVtHsJq4UVSgmktpxZ3bbmP+pmP/AC1Hof8AaH69R3xdolHlZkFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKCcDJ6UVnHOryGNSRYKcOw/5bn+6P8AZ9T36dM1UY31ewJXFiX+1JlmYf6FG2YlP/LZh/Ef9kdvXr6VqUgAAAAwB0Apamcub0NUrBRRRUjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAiuLeK6gaGZdyH8CD2IPY+9UoriW0mW1vW3bjiGfGBJ7H0b+fb0GlUc8EVzC0MyB42GCpq4yt7sthNXCis/zZdMIS6ZpLTotwesfs/t/tfn6nQBBGQcg05Rtr0MrWCiiipAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoJABJOAKZNNHbxNLM6pGoyWY8CqSwy6phrhGis/4YW4aX3f0H+z+fpVRjdXewJXEy+rnahKWA+844M/sPRffv245rUVVRAiKFVRgADAAoAAAAGAOgFLSlO+i2NUrBRRRUDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBCAQQRkHqDWa1rNp5L2SmS26tbZ5X/AHCf/QTx6YrToqozcfQTVyrbXUN1HvibODhgRgqfQg8g1NVe6sEnk8+J2guQMCVB1How6MPr+GKhW+e2cRagghYnCzL/AKp/x/hPsfwJq+VS1h93X/gmbi0XqKKKgQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTXkSJGeR1RFGSzHAAoAdVa5vY7dljCtLO/wByGPlm9/Ye54qEXFzf8WQ8qA9bmRev+4p6/U8fWrdrZQ2it5YJd+Xkc5Zz7mr5VH4t+3+ZSjcggsZJZVub8q8qnMcS/ci+nq3ufwxV+iiolJy3LSsFFFFSMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKRkV0KOoZSMEEZBFLRQBnGwmtOdPkAT/n3lJKf8BPVf1HtSx6hGZVhuEa2nPASXo3+63Rv5+1aFMlijnjaOWNZEbqrDIP4Vp7S/x/8ABJcUJRVM6fNb82NyVX/njNl0/A9V/PHtTf7QaDi+tpIMf8tF/eR/99Dp+IFPkv8AC7/n/XoQ00XqKZFLHPGJIpFkQ9GQ5B/Gn1DVhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVDcXVvaoGnmSMHpuOM/T1ppNuyAmpCQASTgDqTVL7XdXPFnaMF/563GUX8F+8fyH1py6WspD30zXTf3GG2MfRO/45quRL4mNRbGnUGuCU0+L7QehlJ2xD/gXf8ADP4U+PTQ8izX0n2mQHKqRiND7L/U5NXgAAABgDoBS0nUtpHT8y1FIKKKKzKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooApy6XaSyGVYzDKeskLFGP1x1/HNR/Z9Rg/1V1HcL/duF2t/30vH/jtaFFaKpLZ6icUzON9NFxc2Fwg/vxDzV/8AHfm/SnRanZTNsW5jD/3GO1vyPNX6ZLDFOu2WNJF9HUEUc0HuieQSiqn9jWI/1UJg/wCuEjR/+gkUf2bIv+q1G7T2JV//AEJSadoPZ/h/w4uVluiqf2TUV+5qEbf9dLfP8mFHlaqP+W1m3/bJl/8AZjRyr+Zfj/kLlZcoqnt1X/pz/wDHqNuq+tmP++jRyeaDlZcoqn5Oqn/l5s1/7YM3/s4o+x37ff1Lb/1ygUf+hE0cq/mX4/5BysuUjMFBLEADqTVX+y93+tvryT/toE/9AApV0fTwwZrVJWHRpiZD+bZotBbv8B8rGNqtiGKpOJXHVYQZD+S5oF1dzf8AHvYOB/fuHEY/IZP6CtBVVFCqoVR0AGKWlzRWy+/+kPkM/wCxXk//AB83xRf7lsm382OT+WKnt9PtbVi8UK+YesjEs5+rHmrNFJ1JNWKSSCiiioGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//2Q==)\n \n\nObserve that \\(XF = AD = AE = YG\\) , so arcs \\(\\widehat{XF}\\) and \\(\\widehat{YG}\\) have equal measure; hence arcs \\(\\widehat{MF}\\) and \\(\\widehat{NG}\\) have equal measure; therefore \\(\\widehat{MN} \\parallel \\widehat{FG}\\) . \n\nSince \\(\\widehat{MN}\\) and \\(\\widehat{DE}\\) are both perpendicular to the \\(\\angle A\\) bisector, we're done. \n\n\\(\\P\\) Complex numbers solution. Let \\(b\\) , \\(c\\) , \\(f\\) , \\(g\\) , \\(a\\) be as usual. Note that \n\n\\[d - a = \\left(2\\cdot \\frac{f + a + b - ab\\overline{f}}{2} -b\\right) - a = f - \\frac{ab}{f}\\] \\[e - a = g - \\frac{ac}{g}\\]\n\n\n\nWe are given \\(AD = AE\\) from which one deduces \n\n\\[\\left(\\frac{e - a}{d - a}\\right)^{2} = \\frac{c}{b}\\Longrightarrow \\frac{(g^{2} - a c)^{2}}{(f^{2} - a b)^{2}} = \\frac{g^{2}c}{f^{2}b}\\] \\[\\Longrightarrow b c(b g^{2} - c f^{2})a^{2} = g^{2}f^{4}c - f^{2}g^{4}b = f^{2}g^{2}(f^{2}c - g^{2}b)\\] \\[\\Longrightarrow b c\\cdot a^{2} = (f g)^{2}\\Longrightarrow \\left(-\\frac{f g}{a}\\right)^{2} = b c.\\] \n\nSince \\(\\frac{- f g}{a}\\) is the point \\(X\\) on the circle with \\(\\overline{{A X}}\\perp \\overline{{F G}}\\) , we conclude \\(\\overline{{F G}}\\) is either parallel or perpendicular to the \\(\\angle A\\) - bisector; it must the latter since the \\(\\angle A\\) - bisector separates the two minor arcs. \n\n\\(\\P\\) Trig solution (outline). Let \\(\\ell\\) denote the \\(\\angle A\\) bisector. Fix \\(D\\) and \\(F\\) . We define the phantom point \\(G^{\\prime}\\) such that \\(\\overline{{F G^{\\prime}}}\\perp \\ell\\) and \\(E^{\\prime}\\) on side \\(\\overline{{A C}}\\) such that \\(G E^{\\prime} = G C\\) \n\nClaim (Converse of the IMO problem) — We have \\(AD = AE^{\\prime}\\) , so that \\(E = E^{\\prime}\\) . \n\nProof. Since \\(\\overline{{F G^{\\prime}}}\\perp \\ell\\) , one can deduce \\(\\angle F B D = \\frac{1}{2} C + x\\) and \\(\\angle G C A = \\frac{1}{2} B + x\\) for some \\(x\\) . (One fast way to see this is to note that \\(\\overline{{F G}}\\parallel \\overline{{M N}}\\) where \\(M\\) and \\(N\\) are in the first solution.) Then \\(\\angle F A B = \\frac{1}{2} C - x\\) and \\(\\angle G A C = \\frac{1}{2} B - x\\) . \n\nLet \\(R\\) be the circumradius. Now, by the law of sines, \n\n\\[B F = 2R\\sin \\left(\\frac{1}{2} C - x\\right).\\] \n\nFrom there we get \n\n\\[B D = 2\\cdot B F\\cos \\left(\\frac{1}{2} C + x\\right) = 4R\\cos \\left(\\frac{1}{2} C + x\\right)\\sin \\left(\\frac{1}{2} C - x\\right)\\] \\[D A = A B - B D = 2R\\sin C - 4R\\cos \\left(\\frac{1}{2} C + x\\right)\\sin \\left(\\frac{1}{2} C - x\\right)\\] \\[\\qquad = 2R\\left[\\sin C - 2\\cos \\left(\\frac{1}{2} C + x\\right)\\sin \\left(\\frac{1}{2} C - x\\right)\\right]\\] \\[\\qquad = 2R\\left[\\sin C - (\\sin C - \\sin 2x)\\right] = 2R\\sin 2x.\\] \n\nA similar calculation gives \\(A E^{\\prime} = 2R\\sin 2x\\) as needed. \n\nThus, \\(\\overline{{F G^{\\prime}}}\\parallel \\overline{{D E}}\\) , so \\(G = G^{\\prime}\\) as well. This concludes the proof. \n\n\\(\\P\\) Synthetic solution from Derek Liu. Let lines \\(F D\\) and \\(G E\\) intersect \\(\\Gamma\\) again at \\(J\\) and \\(K\\) , respectively.\n\n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIMAcsDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAoorM1PxBpWjukd9exxzyf6u3UF5pP92NQWb8AaANOiqmm3x1G1+0fY7q1UsQqXSBHYf3tuSQD6HB9qo3uiXmoXkjy69fw2hxttbQJEMY7vtLn8GWgDZrFu/Fug2V1JaSalE91EdskEAaaRD6FEBIPtitGwsYdNs0tbczNGmSDNO8znJycs5LH8TVmgCvY3sWoWiXUKzrG+cCeB4X4OOUcBh+IrNu9Z1KG6kht/DGpXKIcCcTWyo/uMy7vzUVtUUAV7Gee5tElubR7SVs7oXdXK88cqSPes681fVba7kjh8NXt1CpwssNxAN/uA8ikfjWzRQBWsbmW7tEmmsbiykbOYLgoXXB7lGZeevBNZ954q0jT7uS2vZbi3ZDgyS2cyxH6SFdh/A1s0UAVrDULLVLRLvT7uC6tnyFlgkDqSDg8j0PFWaKxLvw2s13Jd2mq6rYXEh3M0F0XTP/XOTeg/BRQBt0VXsYbiCzjiu7r7VMud03lhN3PHA4HGOlZc3izTbK8e21MXGmkSFEmvIikMnPBWUZTnsCQfagDcopqOsiK6MGRhlWU5BHqKdQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVW1C+i02ykupkmdEwNkMTSOxJwAFUEkkkUAWazdV1caaYoo7G8vbqbPlQ20Wc4xks5wiDkcsR7ZqHTJNcvLv7XfRQ2FntIjsuJJiT/FI4O1T/srnr949K2KAKGltq0iSSarHaQliPLgt2ZzGP8Aac43H6KMe/Wra28CXD3CwxrM4CvIFAZgOgJ6mpKKACiiigAooooAKKKKACiiigAooooAKKKKACkdFkRkdQysMFSMgilooAZDDFbwpDBGkUSDaiIoCqPQAdBWB/bWq6U4TW9NMsBOBf6ajSIPd4uXT8N4HciuiooAKKgvY7iazljtLhbe4I/dytHvCn3XIyPbI+orL07V74XqadrGntBdsD5dxbgyW8+Bk4bGUOP4Wx7FutAG3RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUEgDJOAKoaVq9rrMUs9l5j2ySGNJyuEmx1ZD/ABLnjPQ4OM0AZ95r09zfvpegwx3V3E225uJCfs9r7MRyz/7C8+pUYNb9RwwRW6bIYkjTJbaigDJOSeO5JJqSgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMvWLzU7DybmzsVvbVM/aYIzifHGGjzw2OcqcE9jkYNnTtSs9WskvLGdZoGJG4cEEcFSDyrA8EHkHrVuo44IoWkaKJEMjb5Cqgb2wBk+pwAM+woAkorP0vWbTVTcJDvjuLaQxz28y7ZIj2yPQjkEZBHQ1oUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXO30d5r+rtpwWe10i0ZTdS8o12+AwiQ9dgyCzDr90fxUAaOsaRHrVslpcTyrab908MZwJ1x9xj12k4yBjOMHgkG/HGkUaxxoqIgCqqjAAHQAU6igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAzL7RYLvUrTUo5JLa+tyB50WMyRZy0Tg/eU/oeRg1p0Vka7p15crBe6XP5WpWZLQh2IimU43RyD+62BzjKkAjuCAa9FVNMvv7R06G6NvPbM4IeGddrxsCQVP0IPI4PUEgirdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFA6tAdcGkxo8twIfPmZANsK5wu4+rHOB/sk1frM0TSBpFrIJJvtN7cSGa6uSu0yyHvjJwoACqMnAAHvWnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBV1K9/s7Tp7w281wsK72jgXc5UdcDuQMnHU445qW1uYL21huraVJYJkEkciHIZSMgj8KlrM0jSBo8l5HBMTZTS+dDbFeIGblwpz90t8wGOCT2wAAadFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAViaJqNzrF7f3qOBpSP9ntFCj96UJEkueuC3yj2Qn+IVsugkjZGztYEHBxx9ajtLWCxs4bS1iWK3gRY4416KoGAB+FAE1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTJkeSGRI5DE7KQrgAlTjg4PHFPooAyPDupzahYPFfBU1KykNveIowPMAB3Af3WUq49mx1BrXqullbRX816kQW5mRI5JBn5lUsVz243Nz71YoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKZJNFDs82RE3sEXcwG5j0A9T7UAYOhO+q6zqWtF2NsHNjZrngpGxEj/VpNwz6Rqe9dDSKoUYUAAdgKWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIbu1ivrKe0nBMM8bROAcEqwwefoayvC17cXGlNaXzl9Q0+VrO5Y9XZcbX/AOBoUf8A4FW3UbyQwsu9442lfau4gF2x0HqcD9KAJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKwL2KTUPGenQtG/2XToHvGYr8rTPmOMA9DhfOJ+q1v1Da3UF7AJ7aVZYiWUOpyCQSD+oNAE1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYviyznvPDty1opa9tSt3agdTLEwdV/4Ft2n2Y1tUUARW063VrDcIGCSoHUMMEAjPI7GpahhuoLia4iilV5LdxHMoPKMVDAH/gLKfxqagAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKmqXMtnpN7dQQvNNDA8kcSKWZ2CkhQBySSMYqDw/px0nw7punscvb20cbt/eYKNx+pOTVy5u7e08rz5QnmyLFHn+Jz0FTUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGFa281r411CRYn+y3tnDJvCnaJY2ZWyemSrR8f7JrdqC4u7e1eBJ5QjXEnlRA/xPgtj8lP5VPQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJrlvNdax4eWOJ2hivnnmYLkKBBKFye3zMv5Vt1C13Al7FZtKBcyxvKkfcohUMfwLr+dTUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQXl3HY2klzLuKoPuqMsx6BQO5JwAO5IrE8EeILnxN4Zj1K8gjguTcTxSRRnITZK6gZ7nAGT60+6kvNU1VfsAtpLWwkIfzXIDz49gc7Af++j6rWL8MDJHY+I7OXaHtdfu0KocgBir8e3z0AdzRSEgAknAHUmsObxjoUczQQXv264U4aHT42uXU+hEYO38cUAbtFc9/bWvXf8Ax4eGZIlPSTUrtIAffbH5jfgQKPsfiu5z52r6bZqf4bWyaRx/wN3x/wCOUAdDRXPf8Ixcy/8AH54m1u49QsscA/DykU/rS/8ACGaOwxMdRuPX7RqdzIPyaQigDoKK5/8A4Qbwsfv6DYye8sQf/wBCzR/wgnhD/oVtEz6mwiz/AOg0AdBRXP8A/CC+FB9zw9psf/XO3VP5AUf8IXoa58mK7tv+vbULiHH/AHw4oA6Ciue/4RUxf8eniDXbb0/0sT/+jlej+zfE9sP9G8QWtyB2vtPBJ/4FE6Af98mgDoaK57+0vEtp/wAffh+C7Qfx6degsf8AgEoQD6bjQPGmjxELqTXGlOTj/iYwNAmfQSEbD+DGgDoaKZDNFcQrNBKksTjKujBgR7EU+gAooooAw/FFvNNZWEtvE8stvqVpJtRckL5yq5+gRmJ9ga3Khu7uCws5ru6lEUEKl5HbooHU1NQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGHPbzN46sbkROYE0y4jMm07QzSwkDPqQp/KtyoWuoEvIrRpVFxLG8qR92VSoYj6F1/MVNQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTXRJY2jkVXRgVZWGQQeoIrJ1PxJZadc/Yo0mvtSIBWxtFDy4PQtyAi/7TkD3rF1aTVP7Pa+8QXz6dZkhI9N0pyZ53JwsZm4YsTxiMLj+8RzQBzXjb4kaD8LtSg0TT/DltIblPPuo7UJAqqSV5AXDMcHg44x61JpnifSn3XGjwaF4VguBuae4th9pcHnlFCovbku3uKhsfh5pOpeLYodZ0m0Zo7Jrq4tU5SAyNthTcOWbCzFnPLNg9AAO40O8uLC8Ph7U5WkuIkL2dy/W6gHGT/00TIDeuQ38WAAYUUvgW+fOqeLbLW5e6X2pRNHn/ripEf8A47murstT0NYUhsL7ThEowqQSptH0ANaEkMUwxLGjj0ZQaoTeHtFuP9fo+ny5/v2yN/MUAaCurruRgw9Qc06sBvA/hN23Hw1pAb+8tlGp/MDNJ/whHh0f6vT/ACf+uM8kf/oLCgDoKK5//hDdLX/VXGsRf9c9ZuwPy8zH6Uf8Ioq/6rXddj/7fi//AKGDQB0FFc//AMI5qK/6rxdra+zJauP/AB6En9aP7G19P9X4qlb/AK7WMLf+ghaAOgorn/sPixPua/pT/wDXXSXJ/NZx/KjZ4wT/AJeNCm/7YTRf+ztQB0FFc/8AaPGCf8wzQ5v+4hLH/wC0Wo/tPxOn+s8N2jf9cdT3f+hRrQB0FIyhlKsAVIwQehrA/t3Wk/1nhHUG/wCuN1bN/wChSLR/wk1yv+t8L67H/wAAhf8A9AlNADpvB2jmVp7KGTS7hjkzadIbcsfVlX5X/wCBA1H5XinS+Yri11u3H8FwBbXGP99RsY+21PrTv+EutV/1ula7H/3C5n/9AU0f8Jpoo/1h1CH/AK7aXcx/+hRigCS08V6fLcpZ3qz6XfOcLb36eWXPoj5KSf8AAWNblczd+LfB19bPbahqentbyDDxXgCqw9w4xWPFqGjWJ3+F/GukrGP+YfdX6T259lO7fH+BKj+7QB0XjOCa68Ea5BbxPLM9jMI441LMzbDgADqc1uVwd38WNA0a1La95ljcA4VIf9Jjl945EyCP97afUCuotvEmj3fh1Nfj1CEaU8fmi6kOxQucc7sY54we9AFTxV4im8NWMV4lit2kk8dusYn2SNJI4VQo2kHk5PI6VuQmVoUMyIkpHzKjbgD7HAz+QrjfE7Lq3jjwjo6ESQxSy6tPtOcLEm2M/QvIPyrtaACiiigAooooAKKKKACiiigAooooAKKKKACiiigDD1CCb/hMNDukido1guoZHVSQu7y2GT2z5dblQ3F1BaLG1xKsYkkWJC3d2OFH1JqagAooooAKKKKACiiigAooooAKKKKACiiigAoorF1XX/s12NM023+36syhhbq21YVPR5X52L+ZPYHnABf1LU7LSLNrvULlLeBSBuc9SeigdST2A5NYv/E78R8gz6JpZ9gLycfqIR+b/wC4as6b4e8u8XU9XuP7Q1UZ2yMuIrcHqsKc7B78se57DZlljgheaV1jjRSzu5wFA5JJ7CgDNjt9H8J6PPKiRWVnEDLNIckse7MxyzsfU5JPrVHSLG61XUE8QavC0Uigiwsn/wCXVD1dh/z1Ydf7o+UfxEw2MUniu/h1i7Rk0i3bfp1s4wZmHS4cHt/cU9PvHkjbs67qQ0bQNQ1IruNtbvKq/wB5gCQv1JwPxoAzfDH+mXuuaueRdXzQRH/plAPK/Lesp/4FWhrekLq9kqJKbe7gcTWtyoy0Mo6N7jkgjuCR3o8PaadH8O6fpzNukt4ESR/774+ZvxbJ/GtKgDK0LV21S2ljuYhb6jav5V5bg52PjOVPdGHzKe4PqCBq1g67p9zFcxa7pUe/UbZNkkAOPtcGcmM/7Q5KE9Dx0Y1qadqFtqunw31nJ5kEy7lOMEdiCOoIOQQeQQRQBaooooAKKKKACiiigAooooAKKKKACiiigAooooAKyNc1HStOijN9CtxNMdsFskQklnb0Re/ueg6kgc1VvNfnvLuXTfD0Ud1dRtsnu5M/ZrU9wxH33/2F5/vFat6ToFvpksl3LLJealMMTXs+C7D+6McIg7KuB9Tk0Aed+M/hyfFWjfbdRso7G5WWJbWy02JMxB5FVmlcLlzgknGFXHfG6ugj8FS+HNAXSNHH9p6KoG/S71wHzu3FopcDDbvm2twT0K12k11Bby28c0qo9xIYoVP8bbWbA/4CrH8KmoA53w4+jXl3d3toZW1UhYrwXmRcRAZ2oyn7q9SNo2nqM5zXRVlavoFrqzx3AeS11CEEQXtuQssftnoynurAqfSqdprtzp95FpviJI4Z5GCW99ECLe6PYc/6uT/YJ5/hJ5wAdDRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBheMLeafwzcvbRPLcWzxXcUcalmZoZFlAAHUnZjHfNbtFQWl5b30LTW0okjWR4iR2dGKMPwZSPwoAnooooAKKKKACiiigAooooAKKKKACiiuYuby58UXUunaVO9vpcLmO81CI4aRh1ihPr2Zx93oPmyVAH3mrXusXsul+H3CCJil5qZUMlue6Rg8PL/wCOr3yflOtpWkWejWht7OMjcxeWV2LSTOerux5Zj6mp7KyttOsobOzgSC2hXbHHGMBRU9ABXKH/AIrS8Kjnw5bScntqEqnp7wqR/wADI/uj5n6hNL4o1CbRbOR49Lt22aldIcGRu9uhHf8AvsOgO0ck7elhhit4I4II0jijUIiIMKqjgADsKAH1zvir/S5dG0cci9v0eUf9MoczNn2LIi/8Droq52D/AE/x/dTdY9Lslt1/66TNvcfgscX/AH1QB0VFFFABXMXwPhXVJNVj40a8fN+g6W0h4E49FPAf04b+8T09NkjSWNo5EV0YFWVhkEHqCKAHAgjI5FFczpTv4c1KPQLlmNhNn+y52OdoAybdj6qASp7qCOqknpqACiiigAooooAKKKKACiiigAoorH1XxBFY3K2FnA9/qsi7ks4SAVX+/I3SNPc9ewJ4oAv3+oWml2Ul5fXEdvbxjLSSHAHoPcnoB1NYPl6p4p5mFxpWin/lkCUurof7RHMKH0HznuV6GzYeH5ZL2PVNdnS+1FDmFFBEFr/1yU/xf7Z+Y+w4reoAgs7O20+0itLOCOC3iXbHFGoVVHsBU9FFAGFqME114v0MCJzb20dzctLtO1ZMLGq59SJJD9Aa3agt7y3unuEglDtbyeVKB/C+0Nj8mH51PQAVBeWdtqFnLaXkEc9vKu2SKRdysPcVPRQByouLzwg4S9llvPD+flu3JaWy9pT1eP8A2+q/xZHzDqEdZEV0YMjDKspyCPUUpAYEEAg8EGuVkil8Fu09sjy+HCczW6As1h6vGO8Xqn8PUcZAAOropkUsc8KTQyLJFIoZHQ5DA8gg9xT6ACiiigAooooAKKKKACiiigAooooAKxNFtZ7DWNbt2iYWktwt3bvj5f3i4dR770Zj/vituqt9qFvpsMc105SN5o4Q2CQGdgq59AWIGfegC1RRRQAUUUUAFFFFABRRRQAUUVz+uahdXN6mgaRKY76ZPMuLkDP2OAnG/wD32wQg9QSeFIIBDqF1ceItRl0bTZnhsYG2alexnDZ/54Rn+8R95h90HA+Y/L0FrawWNrFa2sKQ28KhI441wqqOgAqPTtOtdK0+Gxs4hHbwrtVc5PqSSeSSckk8kkk1aoAK53WNQutQvz4f0eUxXG0Ne3i8/Y4z0A7eaw+6Ow+Y9g02uavcRTxaRpIR9XuV3KWGUto84M0g9B0C/wAR46ZIu6PpFvotgLW3LuSxklmkOZJpD953Pdif8BgACgCbT9PtdKsIbGyiEVvCu1EHP1JPUknkk8knNWaKKACud8Gf6RpE+rH72q3ct4D6xk7Yv/ISR1P4vu5bTwrfG2bbdToLW3PpLKwjQ/8AfTg1qWVpFYWNvZ267YbeJYo19FUYH6CgCeiiigAooooAparpdvrGnS2VyGCPgq6HDxuDlXU9mBAIPqKo6DqlxM82laoVGrWYHmFRhbiM/dmQejYOR/CwI9CdusfXtJmvUhvtPdItWsiXtpG+64P3on/2GAAPoQGHKigDYorP0bVodZ09bqJHicMY5oJPvwyLwyN7g/mMEcEVoUAFFFFABRRRQAUjMqIzuwVVGSxOABVDVtastGgSS6djJK2yCCJS8sz/AN1FHJP6DqcDmsldHvvELrP4iURWQO6PSEfch9DOw4kP+wPkH+1waAA6tf8AiRjD4ff7Pp+cSau6Z3+ot1PD/wC+flHYP219K0ey0a2aGzjIMjb5ZXYvJM/dnY8sfc/TpV4AKoVQAAMADtS0AFFFFABQTgE0VVudQt7S6s7aVyJryRo4VAJyQjOc+gwp5+g70AZ3hS0ntfD8Ul3E0V5dySXlwjfeR5WL7T/ughf+A1t0UUAFFFFABRRRQBykinwXdGZP+RbnfMqD/mHuT98f9MSTyP4Cc/dJx1QIIBBBB6EUjosiMjqGRgQysMgj0NczYM3hXUodGnYnR7ptumzMc+Q/X7Ox9Ouw+g29lyAdRRRRQAUUUUAFFFFABRRRQAUUUUAFUtX02LWNHu9OmJVLiJo9w6oSOGHuDgj3FXaKAKmlveyaVaNqUSxXxiX7QiMCofHzYI7Z6Vbqhd6rHZarYWU0bBb3zEjm/hEijcEPuVDkf7h9qv0AFFFFABRRRQAUUUjMqIXdgqqMkk4AFAGZrur/ANkWAeKL7RezuIbS2BwZpT0GewGCSeygntRoWj/2TZv50v2i/uX868uSMGWQ9SB2UABVHYACs7QVbXNQfxNOp8hkMOmRsPuwE8y4/vSEA/7oX1NdLQAVk67rJ0uKGC1hF1qd2SlpbZxvYdWY/wAKL1ZvwGSQDLrOsQaLY+fKjyyyMIre3j5knkP3UUep9egAJOACaq6Fo89tLNqmqOk2sXYAlZOUhQcrDHn+EevVjknsAATaHow0mCV5pjdahdN5l3dMMGV8dh/CoHCr2HvknVoooAKKKKAOd1v/AE7xPoGmDlI3l1CYf7MS7FB/4HKrD/croq53R/8ATvFmvaieUg8rToj/ALi+Y5H/AAKXaf8AcroqACiiigAooooAKKKKAOb1mCbRdQbxFYRPJGVC6nbRjJljHSVR3kQfiy5HJC10FvcQ3VvFcW8qSwyoHjkQ5VlIyCD3GKkrl4v+KT1Zbc8aFfy4hPazuGP3PaNyfl9GOOjKAAdRRRVe9vrXTbOW7vbiO3t4hl5JGwBQBYrAvdfmuLyXTNAhS8voztnncn7PaH/bYfeb/YXn1Kg5qv8A8TTxT/z8aTop+sd3dD+cKH/vs/7HffsrG102zis7K3jt7eIYSONcKBQBQ0nQIdOne9uJnvtUlXbLezgbsf3UA4RP9kfU5PNa9FFABRRRQAUUUUAFYyafcz+LpdSuUAtra1FvZjIJLOd0r47fdjUf7retWtY1WPR9PNy8bSuzpFFCh+aWR2Cqo+pP4DJ7VfoAKKKKACiiigAooooAKq6lp1tq2nT2N4m+CZcMAcEdwQexBwQRyCAatUUAYXh/UbnzZ9E1STfqdkoPm4x9qhPCTAepxhgOjA9iM7tYniLTbi4ig1HTVH9q6eTJbgnAlU/fhY/3XAx7EK3atDS9St9X0y3v7ViYZl3AMMMp6FWHZgQQR2IIoAt0UUUAFFFFABRRRQAUUUUAFFFFAGbrulDWdKktVl8icMstvOBkwyqdyPjvggZHcZHetFN2xd5BfHzbemfalrG1jVLjSL+xuJQh0mVvIuXx80DsQI3J/uE/KfQsp6A0AbNFFFABRRRQAVzfiFjrOoW/hmInyp08/UWU/dtgcBPrIwK/7of2rcvr2306wuL26kEdvbxtLI57KoyTWX4YsriKyl1K/jKajqT/AGidG6xDGEi/4AuB9dx70AbaqFUKoAUDAAHAFVdS1K10jT5r68k2QRDJIGSSTgKAOSxJAAHJJAqa5uIbO2lubmVIoIkLySOcKqgZJJ7Cud022m8R6hDrmoRPFZQndplnIMEdvPkB/jI+6p+6D/eJwAT6Npt1d339v6zHsvXUpa2pORZRH+H0Mjcbm+ijgZPQUUUAFFFFABUVzcRWlrNczttihRpHY9lAyT+VS1z3jMmfQl0tT8+q3Edjj1Rz+9/8hCQ/hQBJ4Ot5YPC1lJcLtubsNeTg9RJMxkYfgXx+FbtAAAwBgCigAooooAKKKKACiiigAqC9srbUbKazu4Vmt50KSRt0YGpiQqlmIAAySe1c02sX3iF2g8OsIrIHbJq7ruQ+ogU8SH/bPyD/AGuRQBRg8Sz6DeN4Yu459T1dFDWHlkbrqE5w0jdEK4wzHrgEZLbRq2WgTXF5HqevzJeX0Z3QQID9ntD/ALCn7zf7bc+m0HFRzeDrBdLMFkzwX6yi5j1Fz5k3ngYEjseW4JBB4KkrwKvaFq7apbSx3MQt9StX8q8twc7HxkFT3Rh8ynuD6ggAGrRRRQAUUUUAFFFFABRRWP4g1Seyhgs9PCPql8/lWquMqndpGH91ByfU4HVhQBLdaU15rtjfTTA29kjtFBt/5bMNvmE+y7gB/tt7Vp0DpzRQAUUUUAFFFFABRRRQAUUUUAFc0gPh/wAUmPppmsuWX0huwMkewkUZ/wB5T3eulrP1rSo9a0iexd2iZwGimX70Uincjj3VgCPpQBoUVleHdUk1bSI5rhFivYmaC7iHSOZDtcD2yMj1BB71q0AFFFFABRRRQAUUUUAFFFFABUN3awX1nNaXUSy286GOSNxkMpGCD+FTUUARwQpbW8UCFtkahF3sWOAMck8k+5qSsvXdJOq2aeRN9mvrZ/OtLgDPlSAEcjupBKsO4J+tTaRe3F/pyS3dnJZ3SkpNC/RXU4O0/wASnqG7gjp0oAvUUUEgDJOAKAOc10f2trenaCOYFIv74f8ATNG/dof96QA+4jYd66IkAEkgAdSa57wkDewXniCQHdqs3mQ57Wy/LCB7Ffn+shqvdu3i++l0yBiuhW7lL6dTj7W46wIf7g/jI6/dH8WABIgfGd6ly4P/AAjttIGgQ9L+RTxIfWJSPlH8RG7oBnq6aiLGioihUUAKqjAA9BTqACiiigAooooAK526/wBP8eWFv1j0y0e7cekkp8uM/wDfKz/nXRVzvhj/AEy81zVzyLq+aCI/9MoB5WPpvWU/8CoA6KiiigAooooAKKKKACqGq6xZaNbLNeSEGRtkUSKXkmfsqKOWPsPr0qhf+IJZL2TS9CgS91FDiZ2JEFr/ANdWH8X+wPmPfA5qbSvD8Vjctf3c73+qyLte8mABVf7ka9I09h17knmgCiNJv/EjCbxAn2fT85j0hHzv9DcMOH/3B8o7l+3SqqoioihVUYAAwAKWigArB13T7mO5i13SY9+o2ybJIAcfa4M5MR/2hyUJ6HjoxreooAq6dqFtqunw31nJ5kEy7lOMEdiCOoIOQQeQQRVquXvgfCuqSatHxo14+dQQdLaQ8C4Hop4D+nDdmz1AIIyDkGgAooooAKKKKACqw0+1GpnUvKzdmEQeYSThAxbAHQZJ5x1wM9BjGe1ude14NdwyQ6TpsoaGNxtN1OvIkI/55ofu+rfN0VSeioAKKKKACiiigAooooAKKKKACiiigAooooA5yX/iS+M45RxZ62vlP6LdRrlT/wADjBH/AGyUd66OsrxHpkuq6FcW9swS8XE1rIf4JkIeM/TcBn2yKsaPqUesaNZ6jEpRLmJZNjdUJHKn3ByD7igC7RRRQAUUUUAFFFFABRRRQAUUUUAFR3Dyx20rwRCaZUJjjLbd7Y4Ge2TxmnSSCKJ5GDFVBYhVLHj0A5J9hWdpPiDTNcMv9nTvOIWKSN5LqqsDgqSQBuHcdaAJNI1e21mx+024dGVjHNBKMSQSD7yOOxH68EZBBrP8YTSHQjp8DlLnVJVsYmXqvmffYe6xh2/4DRp0mi6l4hudQ02aX7ZCptrvZG6I5U4AfIwWU5A7gE9q4C8+Iun+KviBZ6PoF4sctqk6LeXACxpIcBpUBPzlUEgUdzJnoDQB21/NJqVz/wAIzojm2t7dVS/u4ePs0eBiGM/89GGOf4FOepWuhs7O20+yhs7SFIbeFAkcaDAVR0FVNHtNO0rT47KwkQxrkljIGeRics7H+JicknuTWlQAUUUUAFFFFABRRRQBn67qQ0fQb/Uiu421u8qr/eYAkL9ScD8ab4f006P4e0/T2bdJbwIkj/33x8zfi2T+NZ/in/S5tG0gci8v0eUf9MoczHPsWRF/4HXRUAFFFFABRRWTq2vwaZLHaRRSXmpTDMNlBguw/vMTwiDuzYH1OBQBfvLy20+0lu7yeOC3iXdJLIwVVHuTXP8Amap4p4hNxpOin/lqQUurof7I6wofU/OewXqZ7PQJ7y7i1LxDLHdXUbb4LSPP2e1PYqD99/8Abbn0C10FAFaw0+00uyjs7G3jt7eMYWOMYA9T7k9SepqzRRQAUUUUAFFFFADZI0ljaORFdGBVlYZBB6giub0qR/DepR6Bcsx0+bP9lzsc7QBk27H1UZKnuoI6qSemqlq2l22s6dLZXIYI+CrocPG4OVdT2YEAg+ooAu0ViaDqlxM82laoVGrWYHmFRhbiM/dmQejYOR/CwI9CdugArMsNaTU9Ru4LSFpLW2/dvd5+RpQfmRf723uegPHJBxZvLePVNNkgFxKkU6Y823k2ttP91h0yO4554xUlpaW9haRWlpCkNvCoSONBhVUdABQBNRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzugZ0/Xda0Y8RiUX9sP8ApnMSXA+kqyH6OK6Kud1z/QfEehaqOEaV9PnP+xKAUP8A38jjA/3zQB0LusaM7sFVRksTgAetYNj4gu9bj+1aLp0c2nkkR3V1cGFZ8fxRgIxK/wC0dueoyOayPiu848AXUEMjRR3U8FtcSqcFIXlVXP0wcH2JrpNRuY/D+gS3FvbRm2sYC3lBxGEjRe3HYDpQBDoWvHW5tRj+xS2xsLj7LJ5hB3SBQzbcdVG5cHvnoK2KyPDV6mq6JBqyWBshqCrdCNmBYhlGGbHQkY49q16ACiiigAooooAKKKKAKWsajHpGi32pTf6u0t5J29wqk/0rzfwlqF3omheD9Hvrea2tdaErz3pfZI1y+ZQhHVQ25gDnPy8Y4J7Xxj4evPFPh+40e31GKxhul2TO1sZWK5BwMOuM4IPXg9qh8U+FrnxL4ah0xNQgsrmGaKeO7S1LeU8bAqY13jaeMck8E0AdHDDFbwrFDGscaDCoowAK8k0H4VaJc3Oo+I9NRYbtr+4FnFcIs1sER2jIaMjlWIY5zkAjGMc+m3t7Lo/h26v76WKWS0tnmleOMxq21SxwpJx09TTPDVg+l+GNLsZM+bDaxrKT1L7RuJ9ycmgCjbeENAuLOJ7/AMK6JHclR5sa2kciq3fDFRkfgKd/wgvhIfd8M6Qn+5ZRr/IVuzR+dBJFvePepXehwy5HUH1rDsrnWdNvIrDU4m1C3kbbDqUCAMPQTIPun/bX5T3C9wBP+EH8Mj7ujWyf7gK/yNH/AAhOgD7tnKn+5dSr/Jq6CigDn/8AhDNHH3Tqaf7mrXS/yko/4Q/Th9y91xf+41dn+chroKKAOf8A+ETgH3NX1xf+4lK38yaP+EXcfc8Q64v/AG8q381NdBRQBwUGgXd741u9viXWQumWiQpL+4ZhJMd7rzERjakJ6Z+at3/hH9VH3fGGsH/fgsz/ACgFJ4N/0jSJ9WP3tVu5bwH1jJ2xH/v0kddDQBz/APYmuL93xXdn/fs7c/yQUHS/ESAkeJoyB/z009D/ACYVpapq9lo1qLi9m2BmCRoqlnlc9FRRyzH0ArGGmah4mPma4jWmmHlNKV8tKPW4Ydf+uanb6lugAMiG98W6zdtb6JrdhLYruWXVH0whAemIf3uJWB6nG0epPFXtJ8NeItEikFtrGjzTTHdPczaXMZp29Xf7Qc+w4A6AAV10caRRrHGioiAKqqMAAdABTqAMDyvF6/8AL5ob/wDbrKv/ALUNGfF6/wAOhv8A8ClX+hrfooAwPP8AF6/8w7Q3/wC36Vf/AGiaPtni4ddD0Y/7ury/1tq36KAMD+0fE6/e8O2Z/wBzU8/ziFH9r+IF+94YY/7l9Gf54rfooAwP7c1kfe8Jagf9y6tj/OQUf8JDqQ+94Q1se4lsz/KfNb9FAGB/wklyPv8AhjW1/wCAQt/KU0f8JSB9/QtbX/tz3f8AoJNb9UtUvpNPtPNhsri9mZgkcMAGWY+pOAq+rE4H1wKAOI8a+KLa00dtdt9O1iHUtLBlgkfTpVRlON8btjGxh1yeCARyBXOeF/iRL8RreeLVrS70/TrchbiLTrW4uDd7s4RnjQ+WmByOrZ6gZB7rUrnUtE8O6rruvNb3ipbs8mnRttgjiAJKglSZHPTLYB7Be+Hsv/C+np4m0Lwva2libUS32l2s4VpExuDhQgUSJk5wTkZHOFwAdPD4s0G2hjhiF3BFGoRE/sy4jVQOAADGMCn/APCa+Hx97UNn+/DIv81rXsbuPUNPtryEgxXESyoQcjDDI5HXrVigDA/4TfwwPva7Yp/vyhf50o8b+Eycf8JPo2fQ38QP/oVb1IQCMEZHvQBkJ4s8OSfc8QaU3+7eRn+tWE13R5PuarYt/u3CH+tWXsrWT79tC3+9GDVd9E0mT/WaXZN/vW6H+lAE6X1pJ9y6gb/dkBqcMGGVII9RWS/hXw7J9/QdLb/es4z/AEqA+CPCbHJ8MaLn1+wRZ/8AQaAN6isH/hCfC4+7oOnp/uQBf5Uf8IX4eH3dOVP9yV1/kaAN6isH/hDdFH3Y71P9zULhf5PR/wAIfpg+7cayv+7rV4P082gDeorB/wCETtB9zUdbX/uK3Dfzc0f8Iuo+5retr/2+lv5g0Ab1FYP/AAjdwPueJdbX/tpC384zR/wj+oj7vi7WwPTy7Q/zgoA3qxvFtpJe+FdRjgGbmOLz7f8A66xkSR/+PKtRf2Hq6/d8Waif9+2tj/KIVj+K9C8Tz+FNTisvFTrO1u20vbxx9skb1AK5GRkdKAOpQ2WvaIjSRR3FjfW4YxyKGV43XOCO/BqkfC+nSWJsLg3VzYldv2a4uXkTb6HJyw9mJrgPgFpms2HhK8fU7lmt5JwLa2Zyxg2j5vpnK8e2e9es0ARwQx20EcEKBIo1CIo6KAMAVJRRQAUUUUAFFFFABRRRQAUUUUAc941/eeGZLT/n9uLezI9VlmRG/wDHWY10Nc/4l/e6j4bteol1QMw9o4ZZM/8AfSL+ddBQAUUUUAUdVh1KW3RtKuoYLhG3bZ4t8cox91sEEfUdPQ9Kh0rU7u8kktr/AEuexuogC3PmQuD3SQcH6EK3tWpRQAUVlapYapNcJdaXqxtZEXabeeESwSc5yRwwPuGHuDVjTJtRlt2/tO0gt51bb+4mMqOMfeBKqR9COPfrQBdrE8XXctp4WvvszbbqdBa259JZWEaH/vpwa2FmieR40kRnjwHUMCVyMjI7cVzXiS8tjr+jWtzcRQ21qZdTunkcKqpEuxdxPT55VYf7ntQB0NnaRWFjb2cC7YbeNYo19FUYA/IVk6h4gf7a+l6Lbrf6muBLlsQ2uehlcdD3CDLH0A5FXz9U8U8Whn0vRj1uSpS5uh/0zB5iQ/3j8x7BeGrd0/TrPSrJLOwt0ggTOEQdSepJ6kk8knk96AKGl+H0s7o6jf3DahqzKVa6kXAjU9UiTpGvsOT3JPNbNFFABRRRQAUUUUAFFFFABRQTgZNMiljnjEkMiSRt0ZGyD+IoAfTJZBDC8rByqKWIRSzHHoByT7CsKaHxLqc0iG4t9HswxAaD9/cuueuWGyPPph/qK3o08uJE3M+1QNzHJOO596AMK2ude1a6imW3Gk6arBitwA9zOB22g7YlPuWb2U1v0UUAcP8AFANfaFp3h6NsPrepQWjY5IiDeZIceyofzrYWC606/urnVL43trNHDbW0PlKuHZmDjA4OcpyeynsDU+o+FtJ1XVbbU7uO6a7tSxgdL2aMRFl2kqquAMjg4FOi8M6ZHqdvqJW7lubfd5LXF9PMsZYbSQruVBwSM4zzQBnRf8Ulqy2540K/mxCe1ncMfue0bk/L6McdGUDqKgvbK21GymsryFZredCkkbdGU1i6He3Nhet4e1SZpbmJC9ndP1u4Bxkn/nomQG9chv4sAA6GiiigAooooAKKKKACiiigAooooAKKKKACiiigArB8Zu3/AAil7bRsVlvdlihHUGZxFkfTfn8K3q5/XP8ASvEXh7T+oE8t9IPVIkKj/wAfljP4UAM8PItnr/iOwRQsYuYbmNR0VXhRcf8AfUTn8a6Oufi/c/EO69LrSoj9TFLJ/wDHhXQUAFFFFABRRRQAUUUUAFFFFABRRRQBz+q/vPGXh2P+4l1P+SKn/tSugrn73n4g6KOw0y+b8fMtR/U10FABRRRQAUUUUAFFFc3Lrl5rcz2nhryzErFJtVkXdDGehEY/5auPb5QepJG2gCHxRB4e+1RfadON3rcy4tksiY7twOMiRSrIg7sWCj8hXlXgT4Y66fijda7q1zbT2djduJi8xnaaQoGC5ZRu2F1yxA5XjpmvaLHS9P8ADdldXZZ3kKmW7vZ23Sy7Rklm9AM4AwB0AArhfENs4+E1jaSxhdV1u7iCEj5op7mXe5B7FVZxnsB6UAdveahr1peSeXoMd7Z5+R7a9UTEe6SKqj/vs1o2N095ZpPJaXFo7ZzDcbd64OOdrMPyJrlPGOj6bongrVNS02JNNvNPtXnt7m2Gx96LlQxH3gSACGyDmuo0q7kv9HsbyWPy5J7eOV0/ullBI/WgClc+LfDtjePaXmt6fa3CHa0dxcLGc/8AAiM1p2t3bX1slxaXEVxA/wB2WFw6t24I4qVlDAhgCD2IpI40iQJGioo6KowKAInvLWNyklzCjDqrOARUsciSoHjdXQ9GU5BrOuPDmh3dw89zounTTOcvJJaozMfckZNXbSztbC3W3s7aG3gXO2OFAijPJwBxQBn3vinw9ps7QX2u6bbTKcNFNdIrg+m0nNXbG/tdTtEurKdJ4HztkTocHHFTLDEsjSLGgdurBRk/jT6AMW81fVUu5Lax8O3VxsOBcSzxRQtx2O4v/wCOVo2L3slmjahBBDcnO+OCUyovPGGKqTxjsKs0UAYl14U03ULuSfUjc36u2Rb3M7NAo9BFkIR9QT71rwQQ20CQW8SRRINqRxqFVR6ADpUlFABRRRQAUUUUAFFFFABWZrmjrrFkqJKbe7gcTWlyoy0Mo6N7jkgjuCR3rTooAydB1htUtpY7qIW+pWj+VeW4Odj4yCp7ow+ZT3B9QQNasHXtOuY7mLXdJj36japskgBx9rgzkxH/AGhyUJ6HjoxrU03UbbVtPgvrOTzIJl3KcYI7EEdQQcgg8ggigC1RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXP2n+meOtSn6pY2cNqh9HctJIP++RDXQVz/hL9/ZahqR63+oTzA+qK3lIfxSJD+NABefu/iBo7dpNNvEP1EluR/7NXQVz+qceNPDzesV2v/jqH+ldBQAUUUUAFFFFABRRRQAUUUUAFFFFAHP3nHxC0Y+ul3w/8i2n/wBeugrn9T+TxtoEn96C7h/MRt/7JXQUAFFFFABVLVNVstHtPtN9OI4ywVQAWaRj0VFHLMewAJqhqXiApeNpekW4v9VAG9A22K3B6NM/O32UZY9hjkO0zw+La7/tPUrg6hqxUj7Q67UhB6rEnIRfzY9yaAKX9n6j4n+fWEex0k8rpqv+8nH/AE3YHgf9M1OP7xP3R0kUUcEKQwxpHEihURFwFA6AAdBT6KAOe8Zkz6Gulr97VbiOxx6o5/e/+QhIfwrM8R2uq3/jHw9JHol3NpWlyy3MrpLABJL5eyParSA8bmPIHatO6/0/x3YW/WPTbR7tx6SSny4z/wB8rP8AnXQ0AcrrGmX3i9ItOvrJrDRhKsl3HM6NLdBTuEYCFgqEgEnOTjGOc11QAAAAwB2oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5e+B8KarJq0Yxo144OoIOltIeBcD0U8B/wAG7NnqKbJGksbRyIro4KsrDIIPUEUAOBBAIOQaK5jSpH8N6lHoFy7HT58/2VO5ztAGTbsfVQCVPdRjqpJ6egAooooAKKKKACiiigAooooAKKKKAM7X9ROk+HtR1EDLW1tJKo/vMFJA/E4FO0PThpGgafpwOfsttHCT6lVAJ/HFZ3iz9/babpo63+owRkeqITM4+hWJh+NdBQBz+q8+MvDw9Eum/wDHVH9a6Cufvvn8faIn9zT72Q/9926/+zGugoAKKKKACiiigAooooAKKKKACiqupXbWOm3F2iI5gjMhV32DA5OTg44z2rC0nxHrGs+HrXWbXQY/KuoRPFC97tkKkZH8GMkY796AJ/EP7rWvDFx2XUWib6PbzAf+PBa6CuU1+9+2+D9N1rymi2XFjemNjzGpljLg+4RmrX1fXbXSDFCVkub6fP2eytxullx1wOgUd2JCjuaANC4uIbS3kuLmaOGCNSzySMFVQOpJPQVzn2vU/FHy6c02maOet6y7Z7kf9MlP3FP99hk/wjo1SW+hXWq3Ed/4kaOVkYPBp0Rzb25HQtn/AFrj+8RgfwgdT0dAFTTdMstIs1tLC3WGFSTgclmPVmJ5Zj3JyT3q3RRQAUUVn65qQ0fQb/USu420Dyqv95gCQv1JwPxoAzvDP+l3mt6ueRdXzQRH/pnAPKx9N6yt/wACroaztA006P4f0/T2bdJbwIkj/wB98fM34tk/jWjQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFLVtLttZ06WyugwR8FXQ4eNwcq6nswIBB9RVDQNUuZnn0nVSo1ayA8wqMLcRn7syD0bByP4WBHoTuVja/pM18kN9p7pFq1kS9rI33Wz96J/8AYYAA+hAYcqKANmis/RtXh1rTluokeKRWMc8En34JV4ZG9wfwIwRwRWhQAUUUUAFFFFABRRRQAUUUUAc/c/6Z47sIeqWFjLcOPR5GCIf++Um/Ougrn9B/0rXvEOoHkG5SzjPqkSAn/wAiSSj8K6CgDnx+++Ih/wCnbSRn282U/wDxmugrntH/ANI8XeJLrtE1tZA/7kfm/wDteuhoAKKKKACiiigAooooAKKKKAOQ+J11LB4DvrS2bF1qTR6dAPVpnCH/AMdLH8K0NH0jUtO1CGOa9ik061slt7eKKHywDkcn5jnCooHTqasav4Z0vXZ7abUY7iR7WRZoQl3LGqOucMFRgNwyecZrVijWKJI1LFUUKCzFjgepPJPuaAOC+LfhrXfEfgcab4bYJIkytJbK4j86IKRsB4HXacHjiovgvYiP4e2WozzLdX95uMtySWk2qxVYyx5+UDGOg5x6n0SvO/AzHQPEWq6A5xby3U7QDskiENs9swPAwHfa5oA9EooooAKKKKACue8Uf6XNo2kDkXl+jyj/AKZQ5mOfYsiL/wADroa56D/T/Ht1N1j0yyW3U/8ATSZt7j8Fjh/76oA6GiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDm9Zt5tE1FvEdhE8kZULqdtGMmaMdJVHeRB+LLkckLXQW9xDd20VxbypLDKgeORDlWUjIIPpipK5aL/AIpLVltzxoWoTYhPazuGP3PaNyfl9GOOjKAAdTRRRQAUUUUAFFFFABTJZEhieWRgqIpZmPYDqafWD4zdh4UvbeNist6EsUI6hpnEQI+m/P4UAL4NjdfCdjPKpWW8Vr2QHqGmYykH6F8fhW7TY40ijWNFCogCqB2ArO8Rag2leHNRv4xmWC3dol/vPj5R+LYH40AUfB377SbrUP8An/v7i4B9U8woh/74RK6GqOjacukaHYaahytpbxwA+u1QM/pV6gAooooAKKKKACiiigAooooAKKKKACuD8SWM8XiW4kskzeS26alZL033Fsdsif8AbSKRU+mfSu8rnvF3+iWdnra9dKuVuJD/ANMSCk2fYI7N9UFAGxp99b6np1tf2r77e5iWWNvVWGR/OrNc34f/AOJVrOpaA3EIY31l6eTIxLqP92Td9A6CukoAKKKKACue8Hf6RpE+qn72qXUt4D6xk7Yj/wB+kjqfxbdS2nhe++zNtup1Frbn0llYRofwZwa1LO1isbG3s4F2wwRrFGvoqjAH5CgCaiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC9srbUbGayvIVmt50KSRt0ZTU9FAHO6He3Nhet4d1SZpbmJC9ndP1u4Bxkn/nomQG9chv4sDoqzNc0ddYslRZTb3cDia0uVGWglHRvcckEdwSO9M0HWG1S2liuohb6laP5V5bA52PjIK+qMPmU9wfUEAA1qKKKACiiigArn9d/wBK8Q+HtPHI8+S9kHqkSFR/5EliP4V0Fc/af6X461GbqljZxWyn0eRmkkH/AHyIaAOgrnfE3+mX2iaOORc3i3Ew9IoP3mfp5giX/gVdFXO6Z/xMvGGraieYbFF06A/7XEkxH1JjX6xmgDoqKKKACiiigAooooAKKKKACiiigAooooAKjuIIrq2lt50EkMqFHRujKRgg/hUlFAHnyzT2WhWmoSsz3/ha5a1vT1aW1wAzH1zEYpvqoFegKyuoZSCpGQQeCK5zUETS/FdvdugNlq8YsboEZXzVyYif94F0Pqdgp3hJ3tLa60Cdi02kyCGMscl7cjMLe/y/IT3MbUAdFRRRQBz2tf6b4m0HTRykby6hKP8AZjXYoP8AwOVWH+5XQ1z2kf6b4r13UDykBi0+I/7i+Y5H/Apdp/3K6GgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsDXtOuo7mLXdJj36japskgBwLyDOTEf8AaHJQnoeOjGt+igCrpuo2uradBfWcnmQTLuU4wR2II6gg5BB5BBFWq5a+B8KarJq0Yxo144OoRjpbSHgXA9FPAf8ABuzZ6kEEAg5BoAKKKKACuf8ACf7+01DUj1v9QnlB9URvJQ/ikSn8a0Nd1H+yfD+o6iBlra2klVf7xVSQPxOBRoenf2RoGnadnJtbaOEn1KqAT+J5oAdrOpx6No13qMql1t4y4Rert/Co9ycAe5qHw7psmk6Da2twwe6wZblx0eZyXkb8WZqoarnV/FGn6QvNvZbdRvPQkEiBD9XDP/2yHrXR0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFDWdLj1nSLmwkdo/NX5JV+9E4OUce6sAw9xXKxapILjSvEU6LDOkh0fWY16RuWwrfQS4wf7kxNdzXIeItPgtdSlluVP8AZGtxix1EA48uUjbFLntnPlk+vl+lAHX1Fc3EVpazXM7BYoUaR2PZQMk/lWV4X1Ce+0ZY71gdQs5GtLztmVOC30YbXHs4qHxkfP0NdLX72qXEdjj1Rz+9/wDIQkP4UASeELeWDwvZyXClbm6DXk6nqJJmMjD8C+PwrcoAwMDpRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA2SNJY2jkRXRwVZWGQQeoIrmtKkfw1qcfh+5djp8+f7Knc524GTbsfVRkqe6gjqvPT1S1bS7bWdNlsroMEfBV0OHjcHKup7MpAIPqKALtFYegapczPPpOqlRq1kB5hUbVuIz92ZB6Ng5H8LAj0J3KAOf8AFn7+107TR1v9RgiI9UQ+c4/FImH41sX99b6Zp9xfXcgjt7eNpZGPZQMmse6/0vx3p8PVLCyluXHo8jKkZ/75Wao9SI17xFDo6/NY2DJd357PJnMMX5jzCPRU7NQBY8L2VxDYS39/GU1HUpTdXCHrFkAJH/wBAq/UE963KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvfWVvqVhcWN3EJbe4jMciHupGDViigDz3Q7240TxqdM1KUtNdRrbSytx57oCYJ/q8aujf7cQHcV0N1/p3jqxt+sem2j3bj0klPlxn/vlZ/wA6yPijpsb+E7jXI7gWt/pC/arecjOdpDbD6gsqkf7QXtkHA+H3xR8Pa9ca3qWoXUWm3k08WIrmQACJYwqhT3+YSE+m6gD1eiuf/wCE58K/9DBp3/gQtH/Cc+Ff+hg07/wIWgDoKK5//hOfCv8A0MGnf+BC0f8ACc+Ff+hg07/wIWgDoKK5/wD4Tnwr/wBDBp3/AIELR/wnPhX/AKGDTv8AwIWgDoKK5/8A4Tnwr/0MGnf+BC0f8Jz4V/6GDTv/AAIWgDoKK5//AITnwr/0MGnf+BC0f8Jz4V/6GDTv/AhaAOgorn/+E58K/wDQwad/4ELR/wAJz4V/6GDTv/AhaAOgorn/APhOfCv/AEMGnf8AgQtH/Cc+Ff8AoYNO/wDAhaAOgorn/wDhOfCv/Qwad/4ELR/wnPhX/oYNO/8AAhaAOgorn/8AhOfCv/Qwad/4ELR/wnPhX/oYNO/8CFoA6Ciuf/4Tnwr/ANDBp3/gQtH/AAnPhX/oYNO/8CFoA6Ciuf8A+E58K/8AQwad/wCBC0f8Jz4V/wChg07/AMCFoA6Ciuf/AOE58K/9DBp3/gQtH/Cc+Ff+hg07/wACFoA6Ciuf/wCE58K/9DBp3/gQtH/Cc+Ff+hg07/wIWgDoKK5//hOfCv8A0MGnf+BC0f8ACc+Ff+hg07/wIWgDoKK5/wD4Tnwr/wBDBp3/AIELR/wnPhX/AKGDTv8AwIWgDoKK5/8A4Tnwr/0MGnf+BC0f8Jz4V/6GDTv/AAIWgDoKK5//AITnwr/0MGnf+BC0f8Jz4V/6GDTv/AhaAJ9f0ia+SC+090i1ayJe1kb7rZ+9E/8AsOAAfQgMOVFWdF1eHWtOW6iR4pFYxzwSffglXhkb3B/MYI4IrP8A+E58K/8AQwad/wCBC1yPifx54c8M3R8TabqtrdtJthvrC3lBa5HRHX0dfU9VyD0XABtnVvsN94h1ZIvtF1NdxaZYQA4M7omQuewEkkuT2Ck9q6DQdJ/sfTFgkl8+6lczXVwRgzTNyzew7AdgAO1cL8JruLxXp7+I5Wy0NxPFDbnnyZJG82Vz6sxkAHooA7tXptABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcpBrOt3/jLVtFtZdPS20+GGRp3tnZg0m4rHgSAEhVBJ9xxXV1wHgq1h1XTdc8SXF3PDHquoTyrLHOY8QRnyoySDx8sec+9AGtpmqjxJe+I/DOr2cEosPLgnePPlXCSx7sYPKkDgjJxxzzWXZ+GdN+Gcr6jodo0ejTgLqcO5pGiAJ2zqSSSF3EMv8Ad+Ycqc2vhlM8/hq6l8hRbNqFx9ludm17yHd8s7/3mbn5u+Aa7MgEEEZBoAajpLGskbq6MAyspyCD0INOrlI2/wCELu1gkJ/4Ry4fEMh6afIx4Q+kTE/Kf4Dx90jHV0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXG6xY23j+5l0aaPzPD9pJi8kBx9pnXpEjDkBDyzDuAo6NV7Vb641m/k0DSJni2YGoX0Z/49lIz5aH/nqw/75B3HnaDu2VlbadZQ2dnCsNvCgSONeigUAZulaRofgnw89vYxR2GmWytNIzOSBxlmZiST0qrpeqa14gtl1GzjttO0+Ubrb7XC0s0yHo5UOojB6gZJx1x0rM+LEMtx4Auoxu+zfaLc3m3qLcSqZD9AOT7A12D3FvbWfntIiW6KCGH3cdsf0oAyfD2rahqk+qx31pHbiyuvsqFGJ80hFYuM9FO4YHUYPJrcqC0YyWySvB5DyDe0Z6qT6+/rU9ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBDdWlte27293bxXED/ejlQOrd+QeDWcnhTw5FGscegaUiL91Vs4wB9BiteigBAAAAAAB0ApaKKAGTQxXEEkM0aSRSKUdHGVZTwQQeormIp5fBsqWl7I8vh92CW925LNZE8COUnrH2Vz06N2NdVTJYo54XimjWSJ1KujjIYHggjuKAH0VymLrwZwizXfhwfwjLy6ePbu8Q9OWT3X7vTwTw3VvHcW8qSwyKHSSNgysp6EEdRQBJRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc7qWqXWo38miaG+2dMC8vtu5LMEZ2jPDSkdF6Lnc3YNFPql34kuJLDQZjDYoxS61VeeRwY4M8M3Yv91fc8Dc03TbTSLCOysYRFBH0AOSSeSSTySTySeSTk0AJpmmWuj2EdlZxlIkySWJZnYnJZieWYnJJPJJq5RRQAjKGUqwBUjBBHBFZ9roOlWMiPa2EERT/VhVwsf+6Oi/hitGigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuan0a90O4kvvDio0MjF7jSnbbHIT1aI9I3Pp91j1wTurpaKAM7SNbstahka2Z0mhbZPbTLslgb+66nkH9D1BI5rRrJ1fw/bapLHdxyy2epQjEN9bkCRR/dOeHT1VgR+PNUU8QXWilYPE8UcMedqapAD9mf/fzkwn/eJX0btQB0lFIrK6hlYMpGQQcgiloAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiisG88Sh7uTTtEtv7T1CM7ZNjbYLc/9NZOQD/sjLe2OaANTUNRs9KspLy/uEt7dPvO579gPUnoAOTWCbbUfFnN7HPpuiHpaElLi7H/AE0I5jQ/3B8x/iI5Wren+HSL1NT1m5/tHU15jYrthts9oo+dvpuOWPrjit2gBkMMVtBHBBGkUUahUjRQqqB0AA6Cn0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUjKrqVZQykYIIyCKWigDm28N3OlMZfDN2tmM5OnzgvaP/ugcxH/c47lTT4PFcMEyWuvWsmj3THapnYNbyn/YmHynPYNtb/ZroaZNDFcQvDPGksTjayOoZWHoQetAD+tFc5/wizacS/h3UZdMHX7Ky+dan28skFB7Iy0o13VtN+XWtElaMdbvTM3Ef1MeBIv0CsPegDoqKoaZrel6wrHTr+3uSn30jcFkPoy9VPsQKv0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFVr7UbHS7Y3OoXlvaQDrJPIEX8zWMfE81/8ug6Rd3+elzMDbW4997jcw90VhQB0VYuoeKLGzu2sLZZdR1IDmzslDuv++chYx7uRVb+wdU1TnXdXfyT1stN3QR/RpM+Y/wCBUH+7W1YadZaXara2FpDawLyI4UCjPrx396AMMaTrOufNrl0LKzP/ADDrCQgsPSWbhj/uptHYlhW9Z2Vrp9pHaWVvFb28YwkUSBVUewFT0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGbqXh/SNYZXv9PgmlT7kxXEif7rj5l/Ais8eHdQsv+QT4jvolHSC+AvIx+LYk/8AIldFRQBz32vxXZnE+lafqCD+OzuTC5/7ZyAj/wAiUf8ACWxQ/wDIQ0bW7IjrusWnA/4FBvH610NFAGDH418MSSCM67YQynpHcTCJ/wDvl8H9K1re+tLtQ1tdQTKehjkDD9KlkijmQpLGroeqsMg1lXHhLw3dkm58P6VMT3ks42P6igDYorn/APhB/DA+5otrH/1yXZ/6Dij/AIQjw9/0DyPYTyAf+hUAdBUc1xBbqWmmjiUc5dgo/WsP/hB/DR+9pED/APXQs38zUsPg3wvbtuh8OaSjddwso8/njNABP4y8M2z7Jdf00Sf881ukZz/wEHP6VCfGFlLxY2Gr3x7eRp8qqfo7hU/8ercgtbe1TZbwRQr/AHY0Cj9KloA5/wDtLxLd/wDHp4fhtFP8eo3qhh/wCIOD9NwpDouuXw/4mPiOSJD1i0y3WAH2LOXf8QVroaKAMew8LaLp9wt1FYrLdr0urlmnm/7+OS361sUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/2Q==)\n \n\nNotice that \\(\\triangle BFD \\sim \\triangle JAD\\) ; as \\(FB = FD\\) , it follows that \\(AJ = AD\\) . Likewise, \\(\\triangle CGE \\sim \\triangle KAE\\) and \\(GC = GE\\) , so \\(AK = AE\\) . Hence, \n\n\\[AK = AE = AD = AJ,\\] \n\nso \\(DEJK\\) is cyclic with center \\(A\\) . \n\nIt follows that \n\n\\[\\angle KED = \\angle KJD = \\angle KJF = \\angle KGF,\\] \n\nso we're done. \n\nRemark. Note that \\(K\\) and \\(J\\) must be distinct for this solution to work. Since \\(G\\) and \\(K\\) lie on opposite sides of \\(AC\\) , \\(K\\) is on major arc \\(ABC\\) . As \\(AK = AD = AE \\leq \\min (AB, AC)\\) , \\(K\\) lies on minor arc \\(AB\\) . Similarly, \\(J\\) lies on minor arc \\(AC\\) , so \\(K \\neq J\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2018/1, proposed by Silouanos Brazitikos, Vangelis Psyxas, Michael Sarantis (HEL) \n"}} +{"year": "2018", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(\\Gamma\\) be the circumcircle of acute triangle \\(A B C\\) . Points \\(D\\) and \\(E\\) lie on segments \\(A B\\) and \\(A C\\) , respectively, such that \\(A D = A E\\) . The perpendicular bisectors of \\(\\overline{{B D}}\\) and \\(\\overline{{C E}}\\) intersect the minor arcs \\(A B\\) and \\(A C\\) of \\(\\Gamma\\) at points \\(F\\) and \\(G\\) , respectively. Prove that the lines \\(D E\\) and \\(F G\\) are parallel.", "solution": "## Problem ste present a synthetic solution from the IMO shortlist as well as a complex numbers approach. We also outline a trig solution (the one I found at IMO), and a fourth solution from Derek Liu. \n\n\\(\\P\\) Synthetic solution (from Shortlist). Construct parallelograms \\(AXFD\\) and \\(AEGY\\) , noting that \\(X\\) and \\(Y\\) lie on \\(\\Gamma\\) . As \\(\\overline{XF} \\parallel \\overline{AB}\\) we can let \\(M\\) denote the midpoint of minor arcs \\(\\overline{XF}\\) and \\(\\overline{AB}\\) (which coincide). Define \\(N\\) similarly. \n\n![md5:0a453f3f94603188dbe8502bbb279b12](0a453f3f94603188dbe8502bbb279b12.jpeg)\n \n\nObserve that \\(XF = AD = AE = YG\\) , so arcs \\(\\widehat{XF}\\) and \\(\\widehat{YG}\\) have equal measure; hence arcs \\(\\widehat{MF}\\) and \\(\\widehat{NG}\\) have equal measure; therefore \\(\\widehat{MN} \\parallel \\widehat{FG}\\) . \n\nSince \\(\\widehat{MN}\\) and \\(\\widehat{DE}\\) are both perpendicular to the \\(\\angle A\\) bisector, we're done. \n\n\\(\\P\\) Complex numbers solution. Let \\(b\\) , \\(c\\) , \\(f\\) , \\(g\\) , \\(a\\) be as usual. Note that \n\n\\[d - a = \\left(2\\cdot \\frac{f + a + b - ab\\overline{f}}{2} -b\\right) - a = f - \\frac{ab}{f}\\] \\[e - a = g - \\frac{ac}{g}\\]\n\n\n\nWe are given \\(AD = AE\\) from which one deduces \n\n\\[\\left(\\frac{e - a}{d - a}\\right)^{2} = \\frac{c}{b}\\Longrightarrow \\frac{(g^{2} - a c)^{2}}{(f^{2} - a b)^{2}} = \\frac{g^{2}c}{f^{2}b}\\] \\[\\Longrightarrow b c(b g^{2} - c f^{2})a^{2} = g^{2}f^{4}c - f^{2}g^{4}b = f^{2}g^{2}(f^{2}c - g^{2}b)\\] \\[\\Longrightarrow b c\\cdot a^{2} = (f g)^{2}\\Longrightarrow \\left(-\\frac{f g}{a}\\right)^{2} = b c.\\] \n\nSince \\(\\frac{- f g}{a}\\) is the point \\(X\\) on the circle with \\(\\overline{{A X}}\\perp \\overline{{F G}}\\) , we conclude \\(\\overline{{F G}}\\) is either parallel or perpendicular to the \\(\\angle A\\) - bisector; it must the latter since the \\(\\angle A\\) - bisector separates the two minor arcs. \n\n\\(\\P\\) Trig solution (outline). Let \\(\\ell\\) denote the \\(\\angle A\\) bisector. Fix \\(D\\) and \\(F\\) . We define the phantom point \\(G^{\\prime}\\) such that \\(\\overline{{F G^{\\prime}}}\\perp \\ell\\) and \\(E^{\\prime}\\) on side \\(\\overline{{A C}}\\) such that \\(G E^{\\prime} = G C\\) \n\nClaim (Converse of the IMO problem) — We have \\(AD = AE^{\\prime}\\) , so that \\(E = E^{\\prime}\\) . \n\nProof. Since \\(\\overline{{F G^{\\prime}}}\\perp \\ell\\) , one can deduce \\(\\angle F B D = \\frac{1}{2} C + x\\) and \\(\\angle G C A = \\frac{1}{2} B + x\\) for some \\(x\\) . (One fast way to see this is to note that \\(\\overline{{F G}}\\parallel \\overline{{M N}}\\) where \\(M\\) and \\(N\\) are in the first solution.) Then \\(\\angle F A B = \\frac{1}{2} C - x\\) and \\(\\angle G A C = \\frac{1}{2} B - x\\) . \n\nLet \\(R\\) be the circumradius. Now, by the law of sines, \n\n\\[B F = 2R\\sin \\left(\\frac{1}{2} C - x\\right).\\] \n\nFrom there we get \n\n\\[B D = 2\\cdot B F\\cos \\left(\\frac{1}{2} C + x\\right) = 4R\\cos \\left(\\frac{1}{2} C + x\\right)\\sin \\left(\\frac{1}{2} C - x\\right)\\] \\[D A = A B - B D = 2R\\sin C - 4R\\cos \\left(\\frac{1}{2} C + x\\right)\\sin \\left(\\frac{1}{2} C - x\\right)\\] \\[\\qquad = 2R\\left[\\sin C - 2\\cos \\left(\\frac{1}{2} C + x\\right)\\sin \\left(\\frac{1}{2} C - x\\right)\\right]\\] \\[\\qquad = 2R\\left[\\sin C - (\\sin C - \\sin 2x)\\right] = 2R\\sin 2x.\\] \n\nA similar calculation gives \\(A E^{\\prime} = 2R\\sin 2x\\) as needed. \n\nThus, \\(\\overline{{F G^{\\prime}}}\\parallel \\overline{{D E}}\\) , so \\(G = G^{\\prime}\\) as well. This concludes the proof. \n\n\\(\\P\\) Synthetic solution from Derek Liu. Let lines \\(F D\\) and \\(G E\\) intersect \\(\\Gamma\\) again at \\(J\\) and \\(K\\) , respectively.\n\n\n![md5:d3c76eb3787e95b83ebc6620b989a919](d3c76eb3787e95b83ebc6620b989a919.jpeg)\n \n\nNotice that \\(\\triangle BFD \\sim \\triangle JAD\\) ; as \\(FB = FD\\) , it follows that \\(AJ = AD\\) . Likewise, \\(\\triangle CGE \\sim \\triangle KAE\\) and \\(GC = GE\\) , so \\(AK = AE\\) . Hence, \n\n\\[AK = AE = AD = AJ,\\] \n\nso \\(DEJK\\) is cyclic with center \\(A\\) . \n\nIt follows that \n\n\\[\\angle KED = \\angle KJD = \\angle KJF = \\angle KGF,\\] \n\nso we're done. \n\nRemark. Note that \\(K\\) and \\(J\\) must be distinct for this solution to work. Since \\(G\\) and \\(K\\) lie on opposite sides of \\(AC\\) , \\(K\\) is on major arc \\(ABC\\) . As \\(AK = AD = AE \\leq \\min (AB, AC)\\) , \\(K\\) lies on minor arc \\(AB\\) . Similarly, \\(J\\) lies on minor arc \\(AC\\) , so \\(K \\neq J\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2018/1, proposed by Silouanos Brazitikos, Vangelis Psyxas, Michael Sarantis (HEL) \n"}} {"year": "2018", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Find all integers \\(n\\geq 3\\) for which there exist real numbers \\(a_{1},a_{2},\\ldots ,a_{n}\\) satisfying \n\n\\[a_{i}a_{i + 1} + 1 = a_{i + 2}\\] \n\nfor \\(i = 1,2,\\ldots ,n\\) , where indices are taken modulo \\(n\\)", "solution": "The answer is \\(3 \\mid n\\) , achieved by \\((- 1, - 1,2, - 1, - 1,2,\\ldots)\\) . We present two solutions. \n\n\\(\\P\\) First solution by inequalities. We compute \\(a_{i}a_{i + 1}a_{i + 2}\\) in two ways: \n\n\\[a_{i}a_{i + 1}a_{i + 2} = [a_{i + 2} - 1]a_{i + 2} = a_{i + 2}^{2} - a_{i + 2}\\] \\[\\qquad = a_{i}[a_{i + 3} - 1] = a_{i}a_{i + 3} - a_{i}.\\] \n\nCyclically summing \\(a_{i + 2}^{2} - a_{i + 2} = a_{i}a_{i + 3} - a_{i}\\) then gives \n\n\\[\\sum_{i}a_{i + 2}^{2} = \\sum_{i}a_{i}a_{i + 3}\\iff \\sum_{\\mathrm{cyc}}(a_{i} - a_{i + 3})^{2} = 0.\\] \n\nThis means for inequality reasons the sequence is 3- periodic. Since the sequence is clearly not 1- periodic, as \\(x^{2} + 1 = x\\) has no real solutions. Thus \\(3 \\mid n\\) . \n\n\\(\\P\\) Second solution by sign counting. Extend \\(a_{n}\\) to be a periodic sequence. The idea is to look at the signs, and show the sequence of the signs must be \\(- - +\\) repeated. This takes several steps: \n\n- The pattern \\(- - -\\) is impossible. Obvious, since the third term should be \\(>1\\) . \n\n- The pattern \\(+ +\\) is impossible. Then the sequence becomes strictly increasing, hence may not be periodic. \n\n- Zeros are impossible. If \\(a_{1} = 0\\) , then \\(a_{2} = 0\\) , \\(a_{3} > 0\\) , \\(a_{4} > 0\\) , which gives the impossible \\(+ +\\) . \n\n- The pattern \\(- - + - +\\) is impossible. Compute the terms: \n\n\\[a_{1} = -x< 0\\] \\[a_{2} = -y< 0\\] \\[a_{3} = 1 + xy > 1\\] \\[a_{4} = 1 - y(1 + xy)< 0\\] \\[a_{5} = 1 + (1 + xy)(1 - y(1 + xy))< 1.\\] \n\nBut now \n\n\\[a_{6} - a_{5} = (1 + a_{5}a_{4}) - (1 + a_{3}a_{4}) = a_{4}(a_{5} - a_{3}) > 0\\] \n\nsince \\(a_{5} > 1 > a_{3}\\) . This means we have the impossible \\(+ +\\) pattern.\n\n\n\n- The infinite alternating pattern \\(- + - + - + - + \\ldots\\) is impossible. Note that \n\n\\[a_{1}a_{2} + 1 = a_{3}< 0< a_{4} = 1 + a_{2}a_{3}\\Rightarrow a_{1}< a_{3}\\] \n\nsince \\(a_{2} > 0\\) ; extending this we get \\(a_{1}< a_{3}< a_{5}< \\ldots\\) which contradicts the periodicity. \n\nWe finally collate the logic of sign patterns. Since the pattern is not alternating, there must be - - somewhere. Afterwards must be \\(^+\\) , and then after that must be two minus signs (since one minus sign is impossible by impossibility of \\(- - + - +\\) and \\(- - -\\) is also forbidden); thus we get the periodic \\(- - +\\) as desired.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2018/2, proposed by Patrik Bak (SVK) \n"}} -{"year": "2018", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "An anti-Pascal triangle is an equilateral triangular array of numbers such that, except for the numbers in the bottom row, each number is the absolute value of the difference of the two numbers immediately below it. For example, the following array is an anti-Pascal triangle with four rows which contains every integer from 1 to 10. \n\n\\[4\\] \\[2 6\\] \\[5 7 1\\] \\[8 3 10 9\\] \n\nDoes there exist an anti- Pascal triangle with 2018 rows which contains every integer from 1 to \\(1 + 2 + \\dots +2018\\) ?", "solution": "The answer is no, there is no anti- Pascal triangle with the required properties. \n\nLet \\(n = 2018\\) and \\(N = 1 + 2 + \\dots +n\\) . For every number \\(d\\) not in the bottom row, draw an arrow from \\(d\\) to the larger of the two numbers below it (i.e. if \\(d = a - b\\) , draw \\(d\\rightarrow a\\) ). This creates an oriented forest (which looks like lightning strikes). \n\nConsider the directed path starting from the top vertex \\(A\\) . Starting from the first number, it increments by at least \\(1 + 2 + \\dots +n\\) , since the increments at each step in the path are distinct; therefore equality must hold and thus the path from the top ends at \\(N = 1 + 2 + \\dots +n\\) with all the numbers \\(\\{1,2,\\ldots ,n\\}\\) being close by. Let \\(B\\) be that position. \n\n![](data:image/jpeg;base64,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)\n \n\nConsider the two left/right neighbors \\(X\\) and \\(Y\\) of the endpoint \\(B\\) . Assume that \\(B\\) is to the right of the midpoint of the bottom side, and complete the equilateral triangle\n\n\n\nas shown to an apex \\(C\\) . Consider the lightning strike from \\(C\\) hitting the bottom at \\(D\\) . It travels at least \\(\\lfloor n / 2 - 1 \\rfloor\\) steps, by construction. But the increases must be at least \\(n + 1\\) , \\(n + 2\\) , ...since \\(1, 2, \\ldots , n\\) are close to the \\(A \\to B\\) lightning path. Then the number at \\(D\\) is at least \n\n\\[(n + 1) + (n + 2) + \\dots +(n + (\\lfloor n / 2 - 1\\rfloor)) > 1 + 2 + \\dots +n\\] \n\nfor \\(n \\geq 2018\\) , contradiction.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2018/3, proposed by Morteza Saghafian (IRN) \n"}} +{"year": "2018", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "An anti-Pascal triangle is an equilateral triangular array of numbers such that, except for the numbers in the bottom row, each number is the absolute value of the difference of the two numbers immediately below it. For example, the following array is an anti-Pascal triangle with four rows which contains every integer from 1 to 10. \n\n\\[4\\] \\[2 6\\] \\[5 7 1\\] \\[8 3 10 9\\] \n\nDoes there exist an anti- Pascal triangle with 2018 rows which contains every integer from 1 to \\(1 + 2 + \\dots +2018\\) ?", "solution": "The answer is no, there is no anti- Pascal triangle with the required properties. \n\nLet \\(n = 2018\\) and \\(N = 1 + 2 + \\dots +n\\) . For every number \\(d\\) not in the bottom row, draw an arrow from \\(d\\) to the larger of the two numbers below it (i.e. if \\(d = a - b\\) , draw \\(d\\rightarrow a\\) ). This creates an oriented forest (which looks like lightning strikes). \n\nConsider the directed path starting from the top vertex \\(A\\) . Starting from the first number, it increments by at least \\(1 + 2 + \\dots +n\\) , since the increments at each step in the path are distinct; therefore equality must hold and thus the path from the top ends at \\(N = 1 + 2 + \\dots +n\\) with all the numbers \\(\\{1,2,\\ldots ,n\\}\\) being close by. Let \\(B\\) be that position. \n\n![md5:b0185dbef3ded5bf86196a44784d730e](b0185dbef3ded5bf86196a44784d730e.jpeg)\n \n\nConsider the two left/right neighbors \\(X\\) and \\(Y\\) of the endpoint \\(B\\) . Assume that \\(B\\) is to the right of the midpoint of the bottom side, and complete the equilateral triangle\n\n\n\nas shown to an apex \\(C\\) . Consider the lightning strike from \\(C\\) hitting the bottom at \\(D\\) . It travels at least \\(\\lfloor n / 2 - 1 \\rfloor\\) steps, by construction. But the increases must be at least \\(n + 1\\) , \\(n + 2\\) , ...since \\(1, 2, \\ldots , n\\) are close to the \\(A \\to B\\) lightning path. Then the number at \\(D\\) is at least \n\n\\[(n + 1) + (n + 2) + \\dots +(n + (\\lfloor n / 2 - 1\\rfloor)) > 1 + 2 + \\dots +n\\] \n\nfor \\(n \\geq 2018\\) , contradiction.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2018/3, proposed by Morteza Saghafian (IRN) \n"}} {"year": "2018", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "A site is any point \\((x,y)\\) in the plane for which \\(x,y\\in \\{1,\\ldots ,20\\}\\) . Initially, each of the 400 sites is unoccupied. Any and Ben take turns placing stones on unoccupied sites, with Amy going first; Amy has the additional restriction that no two of her stones may be at a distance equal to \\(\\sqrt{5}\\) . They stop once either player cannot move. Find the greatest \\(K\\) such that Amy can ensure that she places at least \\(K\\) stones.", "solution": "The answer is \\(K = 100\\) \n\nFirst, we show Amy can always place at least 100 stones. Indeed, treat the problem as a grid with checkerboard coloring. Then Amy can choose to always play on one of the 200 black squares. In this way, she can guarantee half the black squares, i.e. she can get \\(\\frac{1}{2}\\cdot 200 = 100\\) stones. \n\nSecond, we show Ben can prevent Amy from placing more than 100 stones. Divide into several \\(4\\times 4\\) squares and then further partition each \\(4\\times 4\\) squares as shown in the grid below. \n\n \n\nThe squares with each label form 4- cycles by knight jumps. For each such cycle, whenever Amy plays in the cycle, Ben plays in the opposite point of the cycle, preventing Amy from playing any more stones in that original cycle. Hence Amy can play at most in \\(1 / 4\\) of the stones, as desired.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2018/4, proposed by Gurgen Asatryan (ARM) \n"}} -{"year": "2018", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , ... be an infinite sequence of positive integers, and \\(N\\) a positive integer. Suppose that for all integers \\(n\\geq N\\) , the expression \n\n\\[\\frac{a_{1}}{a_{2}} +\\frac{a_{2}}{a_{3}} +\\dots +\\frac{a_{n - 1}}{a_{n}} +\\frac{a_{n}}{a_{1}}\\] \n\nis an integer. Prove that \\((a_{n})\\) is eventually constant.", "solution": "L \n\nThe condition implies that the difference \n\n\\[S(n) = \\frac{a_{n + 1} - a_{n}}{a_{1}} +\\frac{a_{n}}{a_{n + 1}}\\] \n\nis an integer for all \\(n > N\\) . We proceed by \\(p\\) - adic valuation only henceforth; fix a prime \\(p\\) . Then analyzing the \\(\\nu_{p}\\) , we immediately get that for \\(n > N\\) : \n\n- If \\(\\nu_{p}(a_{n}) < \\nu_{p}(a_{n + 1})\\) , then \\(\\nu_{p}(a_{n + 1}) = \\nu_{p}(a_{1})\\) . \n\n- If \\(\\nu_{p}(a_{n}) = \\nu_{p}(a_{n + 1})\\) , no conclusion. \n\n- If \\(\\nu_{p}(a_{n}) > \\nu_{p}(a_{n + 1})\\) , then \\(\\nu_{p}(a_{n + 1}) \\geq \\nu_{p}(a_{1})\\) . \n\nIn other words: \n\nClaim — Let \\(p\\) be a prime. Consider the sequence \\(\\nu_{p}(a_{N + 1})\\) , \\(\\nu_{p}(a_{N + 2})\\) , .... Then either: \n\n- We have \\(\\nu_{p}(a_{N + 1}) \\geq \\nu_{p}(a_{N + 2}) \\geq \\ldots\\) and so on, i.e. the sequence is weakly decreasing immediately; or \n\n- For some index \\(K > N\\) we have \\(\\nu_{p}(a_{K}) < \\nu_{p}(a_{K + 1}) = \\nu_{p}(a_{K + 2}) = \\dots = \\nu_{p}(a_{1})\\) , i.e. the sequence \"jumps\" to \\(\\nu_{p}(a_{1})\\) at some point and then stays there forever after. Note this requires \\(\\nu_{p}(a_{1}) > 0\\) . \n\nA cartoon of the situation is drawn below. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nAs only finitely many primes \\(p\\) divide \\(a_{1}\\) , after some time \\(\\nu_{p}(a_{n})\\) is fixed for all such \\(p \\mid a_{1}\\) . Afterwards, the sequence satisfies \\(a_{n + 1} \\mid a_{n}\\) for each \\(n\\) , and thus must be eventually constant. \n\nRemark. This solution is almost completely \\(p\\) - adic, in the sense that I think a similar result holds if one replaces \\(a_{n} \\in \\mathbb{Z}\\) by \\(a_{n} \\in \\mathbb{Z}_{p}\\) for any particular prime \\(p\\) . In other words, the primes almost do not talk to each other. \n\nThere is one caveat: if \\(x_{n}\\) is an integer sequence such that \\(\\nu_{p}(x_{n})\\) is eventually constant for each prime then \\(x_{n}\\) may not be constant. For example, take \\(x_{n}\\) to be the \\(n\\) th prime! That's why in the first claim (applied to co- finitely many of the primes), we need the stronger non- decreasing condition, rather than just eventually constant. \n\nRemark. An alternative approach is to show that, when the fractions \\(a_{n} / a_{1}\\) is written in simplest form for \\(n = N + 1, N + 2, \\ldots\\) , the numerator and denominator are both weakly decreasing. Hence it must eventually be constant; in which case it equals \\(\\frac{1}{1}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2018/5, proposed by Bayarmagnai Gombodorj (MNG) \n"}} -{"year": "2018", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "A convex quadrilateral \\(A B C D\\) satisfies \\(A B\\cdot C D = B C\\cdot D A\\) . Point \\(X\\) lies inside \\(A B C D\\) so that \n\n\\[\\angle X A B = \\angle X C D\\quad \\mathrm{and}\\quad \\angle X B C = \\angle X D A.\\] \n\nProve that \\(\\angle B X A + \\angle D X C = 180^{\\circ}\\)", "solution": "solutions by inversion. The first is the official one. The second is a solution via inversion, completed by USA5 Michael Ren. \n\nOfficial solution by inversion. In what follows a convex quadrilateral is called quasi- harmonic if \\(AB\\cdot CD = BC\\cdot DA\\) . \n\nClaim — A quasi- harmonic quadrilateral is determined up to similarity by its angles. \n\nProof. Do some inequalities. \n\nRemark. This could be expected by degrees of freedom; a quadrilateral has four degrees of freedom up to similarity; the pseudo- harmonic condition is one while the measures of angles \\(\\angle A\\) , \\(\\angle B\\) , \\(\\angle C\\) , \\(\\angle D\\) (summing to \\(360^{\\circ}\\) ) provide three degrees of freedom. (Note that the point \\(X\\) plays no role in this comment.) \n\nPerforming an inversion at \\(X\\) , one obtains a second quasi- harmonic quadrilateral \\(A^{*}B^{*}C^{*}D^{*}\\) which has the same angles as the original one, \\(\\angle D^{*} = \\angle A\\) , \\(\\angle A^{*} = \\angle B\\) , and so on. Thus by the claim we obtain similarity \n\n\\[D^{*}A^{*}B^{*}C^{*}\\sim ABCD.\\] \n\nIf one then maps \\(D^{*}A^{*}B^{*}C^{*}\\) , onto \\(ABCD\\) , the image of \\(X^{*}\\) becomes a point isogonally conjugate to \\(X\\) . In other words, \\(X\\) has an isogonal conjugate in \\(ABCD\\) . \n\nIt is well- known that this is equivalent to \\(\\angle BXA + \\angle DXC = 180^{\\circ}\\) , for example by inscribing an ellipse with foci \\(X\\) and \\(X^{*}\\) . \n\nSecond solution: \"rhombus inversion\", by Michael Ren. Since \n\n\\[\\frac{AB}{AD} = \\frac{CB}{CD}\\] \n\nand \n\n\\[\\frac{BA}{BC} = \\frac{DA}{DC}\\] \n\nit follows that \\(B\\) and \\(D\\) lie on an Apollonian circle \\(\\omega_{AC}\\) through \\(A\\) and \\(C\\) , while \\(A\\) and \\(C\\) lie on an Apollonian circle \\(\\omega_{BD}\\) through \\(B\\) and \\(D\\) . We let these two circles intersect at a point \\(P\\) inside \\(ABCD\\) . \n\nThe main idea is then to perform an inversion about \\(P\\) with radius 1. We obtain:\n\n\n\n## Lemma \n\nThe image of \\(ABCD\\) is a rhombus. \n\nProof. By the inversion distance formula, we have \n\n\\[\\frac{1}{A^{\\prime}B^{\\prime}} = \\frac{PA}{AB}\\cdot PB = \\frac{PC}{BC}\\cdot PB = \\frac{1}{B^{\\prime}C^{\\prime}}\\] \n\nand so \\(A^{\\prime}B^{\\prime} = B^{\\prime}C^{\\prime}\\) . In a similar way, we derive \\(B^{\\prime}C^{\\prime} = C^{\\prime}D^{\\prime} = D^{\\prime}A^{\\prime}\\) , so the image is a rhombus as claimed. \\(\\square\\) \n\nLet us now translate the angle conditions. We were given that \\(\\angle XAB = \\angle XCD\\) , but \n\n\\[\\angle XAB = \\angle XAP + \\angle PAB = \\angle PX'A' + \\angle A'B'P\\] \n\n\\[\\angle XCD = \\angle XCP + \\angle PCD = \\angle PX'C' + \\angle C'D'P\\] \n\nso subtracting these gives \n\n\\[\\begin{array}{r l} & {\\angle A^{\\prime}X^{\\prime}C^{\\prime} = \\angle A^{\\prime}B^{\\prime}P + \\angle P D^{\\prime}C^{\\prime} = \\angle (A^{\\prime}B^{\\prime},B^{\\prime}P) + \\angle (P D^{\\prime},C^{\\prime}D^{\\prime})}\\\\ & {\\qquad = \\angle (A^{\\prime}B^{\\prime},B^{\\prime}P) + \\angle (P D^{\\prime},A^{\\prime}B^{\\prime}) = \\angle D^{\\prime}P B^{\\prime}.} \\end{array} \\quad (1)\\] \n\nsince \\(\\overline{{A^{\\prime}B^{\\prime}}}\\parallel \\overline{{C^{\\prime}D^{\\prime}}}\\) . Similarly, we obtain \n\n\\[\\angle B^{\\prime}X^{\\prime}D^{\\prime} = \\angle A^{\\prime}PC^{\\prime}. \\quad (2)\\] \n\nWe now translate the desired condition. Since \n\n\\[\\angle A X B = \\angle A X P + \\angle P X B = \\angle P A^{\\prime}X^{\\prime} + \\angle X^{\\prime}B^{\\prime}P\\] \\[\\angle C X D = \\angle C X P + \\angle P X D = \\angle P C^{\\prime}X^{\\prime} + \\angle X^{\\prime}D P^{\\prime}\\] \n\nwe compute \n\n\\[\\angle A X B + \\angle C X D = (\\angle P A^{\\prime}X^{\\prime} + \\angle X^{\\prime}B^{\\prime}P) + (\\angle P C^{\\prime}X^{\\prime} + \\angle X^{\\prime}D^{\\prime}P)\\] \\[\\qquad = - \\left[(\\angle A^{\\prime}X^{\\prime}P + \\angle X^{\\prime}P A^{\\prime}) + (\\angle P X^{\\prime}B^{\\prime} + \\angle B^{\\prime}P X^{\\prime})\\right]\\] \\[\\qquad - \\left[(\\angle C^{\\prime}X^{\\prime}P + \\angle X^{\\prime}P C^{\\prime}) + (\\angle P X^{\\prime}D^{\\prime} + \\angle D^{\\prime}P X^{\\prime})\\right]\\] \\[\\qquad = \\left[\\angle P X^{\\prime}A^{\\prime} + \\angle B X^{\\prime}P + \\angle P X^{\\prime}C^{\\prime} + \\angle D^{\\prime}X^{\\prime}P\\right]\\] \\[\\qquad +\\left[\\angle A^{\\prime}P X^{\\prime} + \\angle X^{\\prime}P B^{\\prime} + \\angle C^{\\prime}P X^{\\prime} + \\angle X^{\\prime}P D^{\\prime}\\right]\\] \\[\\qquad = \\angle A^{\\prime}P B^{\\prime} + \\angle C^{\\prime}P D^{\\prime} + \\angle B^{\\prime}X^{\\prime}C + \\angle D^{\\prime}X^{\\prime}A\\] \n\nand we wish to show this is equal to zero, i.e. the desired becomes \n\n\\[\\angle A^{\\prime}P B^{\\prime} + \\angle C^{\\prime}P D^{\\prime} + \\angle B^{\\prime}X^{\\prime}C + \\angle D^{\\prime}X^{\\prime}A = 0. \\quad (3)\\] \n\nIn other words, the problem is to show (1) and (2) implies (3). \n\nHenceforth drop apostrophes. Here is the inverted diagram (with apostrophes dropped).\n\n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(Q\\) denote the reflection of \\(P\\) and let \\(Y\\) denote the second intersection of \\((BQC)\\) and \\((AQD)\\) . Then \n\n\\[-\\angle AXC = -\\angle DPB = \\angle BQD = \\angle BQY + \\angle YQD = \\angle BCY + \\angle YAD\\] \\[= \\angle (BC,CY) + \\angle (YA,AD) = \\angle YCA = -\\angle AYC.\\] \n\nHence \\(XACY\\) is concyclic; similarly \\(XBDY\\) is concyclic. \n\nClaim — \\(X \\neq Y\\) . \n\nProof. To see this: Work pre- inversion assuming \\(AB < AC\\) . Then \\(Q\\) was the center of \\(\\omega_{BD}\\) . If \\(T\\) was the second intersection of \\(BA\\) with \\((QBC)\\) , then \\(QB = QD = QT = \\sqrt{QA \\cdot QC}\\) , by shooting lemma. Since \\(\\angle BAD < 180^\\circ\\) , it follows \\((QBCY)\\) encloses \\(ABCD\\) (pre- inversion). (This part is where the hypothesis that \\(ABCD\\) is convex with \\(X\\) inside is used.) \\(\\square\\) \n\nFinally, we do an angle chase to finish: \n\n\\[\\begin{array}{r l} & {\\angle D X A = \\angle D X Y + \\angle Y X A = \\angle D B Y + \\angle Y C A}\\\\ & {\\qquad = \\angle (D B,Y B) + \\angle (C Y,C A) = \\angle C Y B + 90^{\\circ}}\\\\ & {\\qquad = \\angle C Q B + 90^{\\circ} = -\\angle A P B + 90^{\\circ}.} \\end{array} \\quad (4)\\] \n\nSimilarly, \n\n\\[\\angle BXC = \\angle DPC + 90^\\circ . \\quad (5)\\] \n\nSumming (4) and (5) gives (3). \n\nRemark. A difficult part of the problem in many solutions is that the conclusion is false in the directed sense, if the point \\(X\\) is allowed to lie outside the quadrilateral. We are saved in the first solution because the equivalence of the isogonal conjugation requires \\(X\\) inside the quadrilateral. On the other hand, in the second solution, the issue appears in the presence\n\n\n\nof the second point \\(Y\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2018/6, proposed by Tomasz Ciesla (POL) \n"}} +{"year": "2018", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , ... be an infinite sequence of positive integers, and \\(N\\) a positive integer. Suppose that for all integers \\(n\\geq N\\) , the expression \n\n\\[\\frac{a_{1}}{a_{2}} +\\frac{a_{2}}{a_{3}} +\\dots +\\frac{a_{n - 1}}{a_{n}} +\\frac{a_{n}}{a_{1}}\\] \n\nis an integer. Prove that \\((a_{n})\\) is eventually constant.", "solution": "L \n\nThe condition implies that the difference \n\n\\[S(n) = \\frac{a_{n + 1} - a_{n}}{a_{1}} +\\frac{a_{n}}{a_{n + 1}}\\] \n\nis an integer for all \\(n > N\\) . We proceed by \\(p\\) - adic valuation only henceforth; fix a prime \\(p\\) . Then analyzing the \\(\\nu_{p}\\) , we immediately get that for \\(n > N\\) : \n\n- If \\(\\nu_{p}(a_{n}) < \\nu_{p}(a_{n + 1})\\) , then \\(\\nu_{p}(a_{n + 1}) = \\nu_{p}(a_{1})\\) . \n\n- If \\(\\nu_{p}(a_{n}) = \\nu_{p}(a_{n + 1})\\) , no conclusion. \n\n- If \\(\\nu_{p}(a_{n}) > \\nu_{p}(a_{n + 1})\\) , then \\(\\nu_{p}(a_{n + 1}) \\geq \\nu_{p}(a_{1})\\) . \n\nIn other words: \n\nClaim — Let \\(p\\) be a prime. Consider the sequence \\(\\nu_{p}(a_{N + 1})\\) , \\(\\nu_{p}(a_{N + 2})\\) , .... Then either: \n\n- We have \\(\\nu_{p}(a_{N + 1}) \\geq \\nu_{p}(a_{N + 2}) \\geq \\ldots\\) and so on, i.e. the sequence is weakly decreasing immediately; or \n\n- For some index \\(K > N\\) we have \\(\\nu_{p}(a_{K}) < \\nu_{p}(a_{K + 1}) = \\nu_{p}(a_{K + 2}) = \\dots = \\nu_{p}(a_{1})\\) , i.e. the sequence \"jumps\" to \\(\\nu_{p}(a_{1})\\) at some point and then stays there forever after. Note this requires \\(\\nu_{p}(a_{1}) > 0\\) . \n\nA cartoon of the situation is drawn below. \n\n![md5:72174e134bcfd9f69d13daee898ba7f8](72174e134bcfd9f69d13daee898ba7f8.jpeg)\n\n\n\n\nAs only finitely many primes \\(p\\) divide \\(a_{1}\\) , after some time \\(\\nu_{p}(a_{n})\\) is fixed for all such \\(p \\mid a_{1}\\) . Afterwards, the sequence satisfies \\(a_{n + 1} \\mid a_{n}\\) for each \\(n\\) , and thus must be eventually constant. \n\nRemark. This solution is almost completely \\(p\\) - adic, in the sense that I think a similar result holds if one replaces \\(a_{n} \\in \\mathbb{Z}\\) by \\(a_{n} \\in \\mathbb{Z}_{p}\\) for any particular prime \\(p\\) . In other words, the primes almost do not talk to each other. \n\nThere is one caveat: if \\(x_{n}\\) is an integer sequence such that \\(\\nu_{p}(x_{n})\\) is eventually constant for each prime then \\(x_{n}\\) may not be constant. For example, take \\(x_{n}\\) to be the \\(n\\) th prime! That's why in the first claim (applied to co- finitely many of the primes), we need the stronger non- decreasing condition, rather than just eventually constant. \n\nRemark. An alternative approach is to show that, when the fractions \\(a_{n} / a_{1}\\) is written in simplest form for \\(n = N + 1, N + 2, \\ldots\\) , the numerator and denominator are both weakly decreasing. Hence it must eventually be constant; in which case it equals \\(\\frac{1}{1}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2018/5, proposed by Bayarmagnai Gombodorj (MNG) \n"}} +{"year": "2018", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "A convex quadrilateral \\(A B C D\\) satisfies \\(A B\\cdot C D = B C\\cdot D A\\) . Point \\(X\\) lies inside \\(A B C D\\) so that \n\n\\[\\angle X A B = \\angle X C D\\quad \\mathrm{and}\\quad \\angle X B C = \\angle X D A.\\] \n\nProve that \\(\\angle B X A + \\angle D X C = 180^{\\circ}\\)", "solution": "solutions by inversion. The first is the official one. The second is a solution via inversion, completed by USA5 Michael Ren. \n\nOfficial solution by inversion. In what follows a convex quadrilateral is called quasi- harmonic if \\(AB\\cdot CD = BC\\cdot DA\\) . \n\nClaim — A quasi- harmonic quadrilateral is determined up to similarity by its angles. \n\nProof. Do some inequalities. \n\nRemark. This could be expected by degrees of freedom; a quadrilateral has four degrees of freedom up to similarity; the pseudo- harmonic condition is one while the measures of angles \\(\\angle A\\) , \\(\\angle B\\) , \\(\\angle C\\) , \\(\\angle D\\) (summing to \\(360^{\\circ}\\) ) provide three degrees of freedom. (Note that the point \\(X\\) plays no role in this comment.) \n\nPerforming an inversion at \\(X\\) , one obtains a second quasi- harmonic quadrilateral \\(A^{*}B^{*}C^{*}D^{*}\\) which has the same angles as the original one, \\(\\angle D^{*} = \\angle A\\) , \\(\\angle A^{*} = \\angle B\\) , and so on. Thus by the claim we obtain similarity \n\n\\[D^{*}A^{*}B^{*}C^{*}\\sim ABCD.\\] \n\nIf one then maps \\(D^{*}A^{*}B^{*}C^{*}\\) , onto \\(ABCD\\) , the image of \\(X^{*}\\) becomes a point isogonally conjugate to \\(X\\) . In other words, \\(X\\) has an isogonal conjugate in \\(ABCD\\) . \n\nIt is well- known that this is equivalent to \\(\\angle BXA + \\angle DXC = 180^{\\circ}\\) , for example by inscribing an ellipse with foci \\(X\\) and \\(X^{*}\\) . \n\nSecond solution: \"rhombus inversion\", by Michael Ren. Since \n\n\\[\\frac{AB}{AD} = \\frac{CB}{CD}\\] \n\nand \n\n\\[\\frac{BA}{BC} = \\frac{DA}{DC}\\] \n\nit follows that \\(B\\) and \\(D\\) lie on an Apollonian circle \\(\\omega_{AC}\\) through \\(A\\) and \\(C\\) , while \\(A\\) and \\(C\\) lie on an Apollonian circle \\(\\omega_{BD}\\) through \\(B\\) and \\(D\\) . We let these two circles intersect at a point \\(P\\) inside \\(ABCD\\) . \n\nThe main idea is then to perform an inversion about \\(P\\) with radius 1. We obtain:\n\n\n\n## Lemma \n\nThe image of \\(ABCD\\) is a rhombus. \n\nProof. By the inversion distance formula, we have \n\n\\[\\frac{1}{A^{\\prime}B^{\\prime}} = \\frac{PA}{AB}\\cdot PB = \\frac{PC}{BC}\\cdot PB = \\frac{1}{B^{\\prime}C^{\\prime}}\\] \n\nand so \\(A^{\\prime}B^{\\prime} = B^{\\prime}C^{\\prime}\\) . In a similar way, we derive \\(B^{\\prime}C^{\\prime} = C^{\\prime}D^{\\prime} = D^{\\prime}A^{\\prime}\\) , so the image is a rhombus as claimed. \\(\\square\\) \n\nLet us now translate the angle conditions. We were given that \\(\\angle XAB = \\angle XCD\\) , but \n\n\\[\\angle XAB = \\angle XAP + \\angle PAB = \\angle PX'A' + \\angle A'B'P\\] \n\n\\[\\angle XCD = \\angle XCP + \\angle PCD = \\angle PX'C' + \\angle C'D'P\\] \n\nso subtracting these gives \n\n\\[\\begin{array}{r l} & {\\angle A^{\\prime}X^{\\prime}C^{\\prime} = \\angle A^{\\prime}B^{\\prime}P + \\angle P D^{\\prime}C^{\\prime} = \\angle (A^{\\prime}B^{\\prime},B^{\\prime}P) + \\angle (P D^{\\prime},C^{\\prime}D^{\\prime})}\\\\ & {\\qquad = \\angle (A^{\\prime}B^{\\prime},B^{\\prime}P) + \\angle (P D^{\\prime},A^{\\prime}B^{\\prime}) = \\angle D^{\\prime}P B^{\\prime}.} \\end{array} \\quad (1)\\] \n\nsince \\(\\overline{{A^{\\prime}B^{\\prime}}}\\parallel \\overline{{C^{\\prime}D^{\\prime}}}\\) . Similarly, we obtain \n\n\\[\\angle B^{\\prime}X^{\\prime}D^{\\prime} = \\angle A^{\\prime}PC^{\\prime}. \\quad (2)\\] \n\nWe now translate the desired condition. Since \n\n\\[\\angle A X B = \\angle A X P + \\angle P X B = \\angle P A^{\\prime}X^{\\prime} + \\angle X^{\\prime}B^{\\prime}P\\] \\[\\angle C X D = \\angle C X P + \\angle P X D = \\angle P C^{\\prime}X^{\\prime} + \\angle X^{\\prime}D P^{\\prime}\\] \n\nwe compute \n\n\\[\\angle A X B + \\angle C X D = (\\angle P A^{\\prime}X^{\\prime} + \\angle X^{\\prime}B^{\\prime}P) + (\\angle P C^{\\prime}X^{\\prime} + \\angle X^{\\prime}D^{\\prime}P)\\] \\[\\qquad = - \\left[(\\angle A^{\\prime}X^{\\prime}P + \\angle X^{\\prime}P A^{\\prime}) + (\\angle P X^{\\prime}B^{\\prime} + \\angle B^{\\prime}P X^{\\prime})\\right]\\] \\[\\qquad - \\left[(\\angle C^{\\prime}X^{\\prime}P + \\angle X^{\\prime}P C^{\\prime}) + (\\angle P X^{\\prime}D^{\\prime} + \\angle D^{\\prime}P X^{\\prime})\\right]\\] \\[\\qquad = \\left[\\angle P X^{\\prime}A^{\\prime} + \\angle B X^{\\prime}P + \\angle P X^{\\prime}C^{\\prime} + \\angle D^{\\prime}X^{\\prime}P\\right]\\] \\[\\qquad +\\left[\\angle A^{\\prime}P X^{\\prime} + \\angle X^{\\prime}P B^{\\prime} + \\angle C^{\\prime}P X^{\\prime} + \\angle X^{\\prime}P D^{\\prime}\\right]\\] \\[\\qquad = \\angle A^{\\prime}P B^{\\prime} + \\angle C^{\\prime}P D^{\\prime} + \\angle B^{\\prime}X^{\\prime}C + \\angle D^{\\prime}X^{\\prime}A\\] \n\nand we wish to show this is equal to zero, i.e. the desired becomes \n\n\\[\\angle A^{\\prime}P B^{\\prime} + \\angle C^{\\prime}P D^{\\prime} + \\angle B^{\\prime}X^{\\prime}C + \\angle D^{\\prime}X^{\\prime}A = 0. \\quad (3)\\] \n\nIn other words, the problem is to show (1) and (2) implies (3). \n\nHenceforth drop apostrophes. Here is the inverted diagram (with apostrophes dropped).\n\n\n![md5:0c12083019dab121af7f84e9492c3762](0c12083019dab121af7f84e9492c3762.jpeg)\n \n\nLet \\(Q\\) denote the reflection of \\(P\\) and let \\(Y\\) denote the second intersection of \\((BQC)\\) and \\((AQD)\\) . Then \n\n\\[-\\angle AXC = -\\angle DPB = \\angle BQD = \\angle BQY + \\angle YQD = \\angle BCY + \\angle YAD\\] \\[= \\angle (BC,CY) + \\angle (YA,AD) = \\angle YCA = -\\angle AYC.\\] \n\nHence \\(XACY\\) is concyclic; similarly \\(XBDY\\) is concyclic. \n\nClaim — \\(X \\neq Y\\) . \n\nProof. To see this: Work pre- inversion assuming \\(AB < AC\\) . Then \\(Q\\) was the center of \\(\\omega_{BD}\\) . If \\(T\\) was the second intersection of \\(BA\\) with \\((QBC)\\) , then \\(QB = QD = QT = \\sqrt{QA \\cdot QC}\\) , by shooting lemma. Since \\(\\angle BAD < 180^\\circ\\) , it follows \\((QBCY)\\) encloses \\(ABCD\\) (pre- inversion). (This part is where the hypothesis that \\(ABCD\\) is convex with \\(X\\) inside is used.) \\(\\square\\) \n\nFinally, we do an angle chase to finish: \n\n\\[\\begin{array}{r l} & {\\angle D X A = \\angle D X Y + \\angle Y X A = \\angle D B Y + \\angle Y C A}\\\\ & {\\qquad = \\angle (D B,Y B) + \\angle (C Y,C A) = \\angle C Y B + 90^{\\circ}}\\\\ & {\\qquad = \\angle C Q B + 90^{\\circ} = -\\angle A P B + 90^{\\circ}.} \\end{array} \\quad (4)\\] \n\nSimilarly, \n\n\\[\\angle BXC = \\angle DPC + 90^\\circ . \\quad (5)\\] \n\nSumming (4) and (5) gives (3). \n\nRemark. A difficult part of the problem in many solutions is that the conclusion is false in the directed sense, if the point \\(X\\) is allowed to lie outside the quadrilateral. We are saved in the first solution because the equivalence of the isogonal conjugation requires \\(X\\) inside the quadrilateral. On the other hand, in the second solution, the issue appears in the presence\n\n\n\nof the second point \\(Y\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2018-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2018/6, proposed by Tomasz Ciesla (POL) \n"}} diff --git a/IMO/segmented/en-IMO-2019-notes.jsonl b/IMO/segmented/en-IMO-2019-notes.jsonl index e52b139c90c4facc7eb87d1724e29747f76d8f9c..737115520ac85b98629b64bbfd388b90a62b2bbb 100644 --- a/IMO/segmented/en-IMO-2019-notes.jsonl +++ b/IMO/segmented/en-IMO-2019-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2019", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Solve over \\(\\mathbb{Z}\\) the functional equation \\(f(2a) + 2f(b) = f(f(a + b))\\) .", "solution": "Notice that \\(f(x)\\equiv 0\\) or \\(f(x)\\equiv 2x + k\\) work and are clearly the only linear solutions. We now prove all solutions are linear. \n\nLet \\(P(a,b)\\) be the assertion. \n\nClaim — For each \\(x\\in \\mathbb{Z}\\) we have \\(f(2x) = 2f(x) - f(0)\\) \n\nProof. Compare \\(P(0,x)\\) and \\(P(x,0)\\) \n\nNow, \\(P(a,b)\\) and \\(P(0,a + b)\\) give \n\n\\[f(f(a + b)) = f(2a) + 2f(b) = f(0) + 2f(a + b)\\] \\[\\Rightarrow [2f(a) - f(0)] + 2f(b) = f(0) + 2f(a + b)\\] \\[(f(a) - f(0)) + (f(b) - f(0)) = (f(a + b) - f(0)).\\] \n\nThus the map \\(x\\mapsto f(x) - f(0)\\) is additive, therefore linear. \n\nRemark. The same proof works on the functional equation \n\n\\[f(2a) + 2f(b) = g(a + b)\\] \n\nwhere \\(g\\) is an arbitrary function (it implies that \\(f\\) is linear).", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2019/1, proposed by Liam Baker (SAF) \n"}} -{"year": "2019", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "In triangle \\(A B C\\) point \\(A_{1}\\) lies on side \\(B C\\) and point \\(B_{1}\\) lies on side \\(A C\\) . Let \\(P\\) and \\(Q\\) be points on segments \\(A A_{1}\\) and \\(B B_{1}\\) , respectively, such that \\(\\overline{{P Q}}\\parallel \\overline{{A B}}\\) . Point \\(P_{1}\\) is chosen on ray \\(P B_{1}\\) beyond \\(B_{1}\\) such that \\(\\angle P P_{1}C = \\angle B A C\\) . Point \\(Q_{1}\\) is chosen on ray \\(Q A_{1}\\) beyond \\(A_{1}\\) such that \\(\\angle C Q_{1}Q = \\angle C B A\\) . Prove that points \\(P_{1}\\) , \\(Q_{1}\\) , \\(P\\) , \\(Q\\) are cyclic.", "solution": "We present two solutions. \n\nFirst solution by bary (Evan Chen). Let \\(P B_{1}\\) and \\(Q A_{1}\\) meet line \\(A B\\) at \\(X\\) and \\(Y\\) . Since \\(\\overline{{X Y}}\\parallel \\overline{{P Q}}\\) it is equivalent to show \\(P_{1}X Y Q_{1}\\) is cyclic (Reim's theorem). \n\nNote the angle condition implies \\(P_{1}C X A\\) and \\(Q_{1}C Y B\\) are cyclic. \n\nLetting \\(T = \\overline{{P X}}\\cap \\overline{{Q Y}}\\) (possibly at infinity), it suffices to show that the radical axis of \\(\\triangle C X A\\) and \\(\\triangle C Y B\\) passes through \\(T\\) , because that would imply \\(P_{1}X Y Q_{1}\\) is cyclic (by power of a point when \\(T\\) is Euclidean, and because it is an isosceles trapezoid if \\(T\\) is at infinity). \n\n![](data:image/jpeg;base64,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)\n \n\nTo this end we use barycentric coordinates on \\(\\triangle A B C\\) . We begin by writing \n\n\\[P = (u + t:s:r),\\quad Q = (t:u + s:r)\\] \n\nfrom which it follows that \\(A_{1} = (0:s:r)\\) and \\(B_{1} = (t:0:r)\\) . \n\nNext, compute \\(X = \\left(\\operatorname *{det}\\left[\\begin{array}{l}{u+t}\\\\ {t}\\end{array}\\right]:\\operatorname *{det}\\left[\\begin{array}{l}{s}\\\\ {0}\\end{array}\\right]:0\\right) = (u:s:0)\\) . Similarly, \\(Y = (t:u:0)\\) . So we have computed all points. \n\nClaim — Line \\(B_{1}X\\) has equation \\(- r s\\cdot x + r u\\cdot y + s t\\cdot z = 0\\) , while line \\(C_{1}Y\\) has equation \\(r u\\cdot x - r t\\cdot y + s t\\cdot z = 0\\) . \n\nProof. Line \\(B_{1}X\\) is \\(0 = \\operatorname *{det}(B_{1},X, - ) = \\operatorname *{det}\\left[\\begin{array}{l l}{t} & {0}\\\\ {u} & {s}\\\\ {x} & {y}\\end{array}\\right]\\) . Line \\(C_{1}Y\\) is analogous.\n\n\n\nClaim — The radical axis \\((u + t)y - (u + s)x = 0\\) . \n\nProof. Circle \\((A X C)\\) is given by \\(- a^{2}y z - b^{2}z x - c^{2}x y + (x + y + z)\\cdot \\frac{c^{2}\\cdot u}{u + s}y = 0\\) . Similarly, circle \\((B Y C)\\) has equation \\(- a^{2}y z - b^{2}z x - c^{2}x y + (x + y + z)\\cdot \\frac{c^{2}\\cdot u}{u + t}x = 0\\) . Subtracting gives the radical axis. \\(\\square\\) \n\nFinally, to see these three lines are concurrent, we now compute \n\n\\[\\operatorname *{det}\\left[ \\begin{array}{c c c}{-r s r u s t\\] \\[r u -r t s t\\] \\[-(u + s) u + t 0} \\end{array} \\right] = r s t\\left[\\left[u(u + t) - t(u + s)\\right] + \\left[s(u + t) - u(u + s)\\right]\\right]\\] \\[= r s t\\left[\\left(u^{2} - s t\\right) + (s t - u^{2})\\right] = 0.\\] \n\nThis completes the proof. \n\n\\(\\P\\) Second official solution by tricky angle chasing. Let lines \\(A A_{1}\\) and \\(B B_{1}\\) meet at the circumcircle of \\(\\triangle A B C\\) again at points \\(A_{2}\\) and \\(B_{2}\\) . By Reim's theorem, \\(P Q A_{2}B_{2}\\) are cyclic. \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — The points \\(P\\) , \\(Q\\) , \\(A_{2}\\) , \\(Q_{1}\\) are cyclic. Similarly the points \\(P\\) , \\(Q\\) , \\(B_{2}\\) , \\(P_{1}\\) are cyclic. \n\nProof. Note that \\(C A_{1}A_{2}Q_{1}\\) is cyclic since \\(\\angle C Q_{1}A_{1} = \\angle C Q_{1}Q = \\angle C B A = \\angle C A_{2}A =\\) \\(\\angle C A_{2}A_{1}\\) . Then \\(\\angle Q Q_{1}A_{2} = \\angle A_{1}Q_{1}A_{2} = \\angle A_{1}C A_{2} = \\angle B C A_{2} = \\angle B A A_{2} = \\angle Q P A_{2}\\) . \\(\\square\\) \n\nThis claim obviously solves the problem.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2019/2, proposed by Anton Trygub (UKR) \n"}} +{"year": "2019", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "In triangle \\(A B C\\) point \\(A_{1}\\) lies on side \\(B C\\) and point \\(B_{1}\\) lies on side \\(A C\\) . Let \\(P\\) and \\(Q\\) be points on segments \\(A A_{1}\\) and \\(B B_{1}\\) , respectively, such that \\(\\overline{{P Q}}\\parallel \\overline{{A B}}\\) . Point \\(P_{1}\\) is chosen on ray \\(P B_{1}\\) beyond \\(B_{1}\\) such that \\(\\angle P P_{1}C = \\angle B A C\\) . Point \\(Q_{1}\\) is chosen on ray \\(Q A_{1}\\) beyond \\(A_{1}\\) such that \\(\\angle C Q_{1}Q = \\angle C B A\\) . Prove that points \\(P_{1}\\) , \\(Q_{1}\\) , \\(P\\) , \\(Q\\) are cyclic.", "solution": "We present two solutions. \n\nFirst solution by bary (Evan Chen). Let \\(P B_{1}\\) and \\(Q A_{1}\\) meet line \\(A B\\) at \\(X\\) and \\(Y\\) . Since \\(\\overline{{X Y}}\\parallel \\overline{{P Q}}\\) it is equivalent to show \\(P_{1}X Y Q_{1}\\) is cyclic (Reim's theorem). \n\nNote the angle condition implies \\(P_{1}C X A\\) and \\(Q_{1}C Y B\\) are cyclic. \n\nLetting \\(T = \\overline{{P X}}\\cap \\overline{{Q Y}}\\) (possibly at infinity), it suffices to show that the radical axis of \\(\\triangle C X A\\) and \\(\\triangle C Y B\\) passes through \\(T\\) , because that would imply \\(P_{1}X Y Q_{1}\\) is cyclic (by power of a point when \\(T\\) is Euclidean, and because it is an isosceles trapezoid if \\(T\\) is at infinity). \n\n![md5:aa480fbe952d93ea485d73abebb48269](aa480fbe952d93ea485d73abebb48269.jpeg)\n \n\nTo this end we use barycentric coordinates on \\(\\triangle A B C\\) . We begin by writing \n\n\\[P = (u + t:s:r),\\quad Q = (t:u + s:r)\\] \n\nfrom which it follows that \\(A_{1} = (0:s:r)\\) and \\(B_{1} = (t:0:r)\\) . \n\nNext, compute \\(X = \\left(\\operatorname *{det}\\left[\\begin{array}{l}{u+t}\\\\ {t}\\end{array}\\right]:\\operatorname *{det}\\left[\\begin{array}{l}{s}\\\\ {0}\\end{array}\\right]:0\\right) = (u:s:0)\\) . Similarly, \\(Y = (t:u:0)\\) . So we have computed all points. \n\nClaim — Line \\(B_{1}X\\) has equation \\(- r s\\cdot x + r u\\cdot y + s t\\cdot z = 0\\) , while line \\(C_{1}Y\\) has equation \\(r u\\cdot x - r t\\cdot y + s t\\cdot z = 0\\) . \n\nProof. Line \\(B_{1}X\\) is \\(0 = \\operatorname *{det}(B_{1},X, - ) = \\operatorname *{det}\\left[\\begin{array}{l l}{t} & {0}\\\\ {u} & {s}\\\\ {x} & {y}\\end{array}\\right]\\) . Line \\(C_{1}Y\\) is analogous.\n\n\n\nClaim — The radical axis \\((u + t)y - (u + s)x = 0\\) . \n\nProof. Circle \\((A X C)\\) is given by \\(- a^{2}y z - b^{2}z x - c^{2}x y + (x + y + z)\\cdot \\frac{c^{2}\\cdot u}{u + s}y = 0\\) . Similarly, circle \\((B Y C)\\) has equation \\(- a^{2}y z - b^{2}z x - c^{2}x y + (x + y + z)\\cdot \\frac{c^{2}\\cdot u}{u + t}x = 0\\) . Subtracting gives the radical axis. \\(\\square\\) \n\nFinally, to see these three lines are concurrent, we now compute \n\n\\[\\operatorname *{det}\\left[ \\begin{array}{c c c}{-r s r u s t\\] \\[r u -r t s t\\] \\[-(u + s) u + t 0} \\end{array} \\right] = r s t\\left[\\left[u(u + t) - t(u + s)\\right] + \\left[s(u + t) - u(u + s)\\right]\\right]\\] \\[= r s t\\left[\\left(u^{2} - s t\\right) + (s t - u^{2})\\right] = 0.\\] \n\nThis completes the proof. \n\n\\(\\P\\) Second official solution by tricky angle chasing. Let lines \\(A A_{1}\\) and \\(B B_{1}\\) meet at the circumcircle of \\(\\triangle A B C\\) again at points \\(A_{2}\\) and \\(B_{2}\\) . By Reim's theorem, \\(P Q A_{2}B_{2}\\) are cyclic. \n\n![md5:1f5aca7c220bfe7c5ea57664e3e10c36](1f5aca7c220bfe7c5ea57664e3e10c36.jpeg)\n \n\nClaim — The points \\(P\\) , \\(Q\\) , \\(A_{2}\\) , \\(Q_{1}\\) are cyclic. Similarly the points \\(P\\) , \\(Q\\) , \\(B_{2}\\) , \\(P_{1}\\) are cyclic. \n\nProof. Note that \\(C A_{1}A_{2}Q_{1}\\) is cyclic since \\(\\angle C Q_{1}A_{1} = \\angle C Q_{1}Q = \\angle C B A = \\angle C A_{2}A =\\) \\(\\angle C A_{2}A_{1}\\) . Then \\(\\angle Q Q_{1}A_{2} = \\angle A_{1}Q_{1}A_{2} = \\angle A_{1}C A_{2} = \\angle B C A_{2} = \\angle B A A_{2} = \\angle Q P A_{2}\\) . \\(\\square\\) \n\nThis claim obviously solves the problem.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2019/2, proposed by Anton Trygub (UKR) \n"}} {"year": "2019", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "A social network has 2019 users, some pairs of which are friends (friendship is symmetric). If \\(A\\) , \\(B\\) , \\(C\\) are three users such that \\(A B\\) are friends and \\(A C\\) are friends but \\(B C\\) is not, then the administrator may perform the following operation: change the friendships such that \\(B C\\) are friends, but \\(A B\\) and \\(A C\\) are no longer friends. \n\nInitially, 1009 users have 1010 friends and 1010 users have 1009 friends. Prove that the administrator can make a sequence of operations such that all users have at most 1 friend.", "solution": "## Problem stateme \n\nWe take the obvious graph formulation and call the move a toggle. \n\nClaim — Let \\(G\\) be a connected graph. Then one can toggle \\(G\\) without disconnecting the graph, unless \\(G\\) is a clique, a cycle, or a tree. \n\nProof. Assume \\(G\\) is connected and not a tree, so it has a cycle. Take the smallest cycle \\(C\\) ; by hypothesis \\(C \\neq G\\) . \n\nIf \\(C\\) is not a triangle (equivalently, \\(G\\) is triangle- free), then let \\(b \\notin C\\) be a vertex adjacent to \\(C\\) , say at \\(a\\) . Take a vertex \\(c\\) of the cycle adjacent to \\(a\\) (hence not to \\(b\\) ). Then we can toggle \\(abc\\) . \n\nNow assume there exists a triangle; let \\(K\\) be the maximal clique. By hypothesis, \\(K \\neq G\\) . We take an edge \\(e = ab\\) dangling off the clique, with \\(a \\in K\\) and \\(b \\notin K\\) . Note some vertex \\(c\\) of \\(K\\) is not adjacent to \\(b\\) ; now toggle \\(abc\\) . \\(\\square\\) \n\nBack to the original problem; let \\(G_{\\mathrm{imo}}\\) be the given graph. The point is that we can apply toggles (by the claim) repeatedly, without disconnecting the graph, until we get a tree. This is because \n\n- \\(G_{\\mathrm{imo}}\\) is connected, since any two vertices which are not adjacent have a common neighbor by pigeonhole \\((1009 + 1009 + 2 > 2019)\\) .- \\(G_{\\mathrm{imo}}\\) cannot become a cycle, because it initially has an odd-degree vertex, and toggles preserve parity of degree!- \\(G_{\\mathrm{imo}}\\) is obviously not a clique initially (and hence not afterwards). \n\nSo, we can eventually get \\(G_{\\mathrm{imo}}\\) to be a tree. \n\nOnce \\(G_{\\mathrm{imo}}\\) is a tree the problem follows by repeatedly applying toggles arbitrarily until no more are possible; the graph (although now disconnected) remains acyclic (in particular having no triangles) and therefore can only terminate in the desired situation. \n\nRemark. The above proof in fact shows the following better result: \n\nThe task is possible if and only if \\(G_{\\mathrm{imo}}\\) is a connected graph which is not a clique and has any vertex of odd degree. \n\nThe \"only if\" follows from the observation that toggles preserve parity of degree.\n\n\n\nThus the given condition about the degrees of vertices being 1009 and 1010 is largely a red herring; it's a somewhat strange way of masking the correct and more natural both- sufficient- and- necessary condition.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2019/3, proposed by Adrian Beker (HRV) \n"}} {"year": "2019", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Solve over positive integers the equation \n\n\\[k! = \\prod_{i = 0}^{n - 1}(2^{n} - 2^{i}) = (2^{n} - 1)(2^{n} - 2)(2^{n} - 4)\\dots (2^{n} - 2^{n - 1}).\\]", "solution": "] \n\nThe answer is \\((n,k) = (1,1)\\) and \\((n,k) = (2,3)\\) which work. \n\nLet \\(A = \\prod_{i}(2^{n} - 2^{k})\\) , and assume \\(A = k!\\) for some \\(k\\geq 3\\) . Recall by exponent lifting that \n\n\\[\\nu_{3}(2^{t} - 1) = \\left\\{ \\begin{array}{ll}0 & t\\mathrm{odd}\\\\ 1 + \\nu_{3}(t / 2) & t\\mathrm{even}. \\end{array} \\right.\\] \n\nThus, we can compute \n\n\\[k > \\nu_{2}(k!) = \\nu_{2}(A) = 1 + 2 + \\cdot \\cdot \\cdot +(n - 1) = \\frac{n(n - 1)}{2}\\] \\[\\left\\lfloor \\frac{k}{3}\\right\\rfloor \\leq \\nu_{3}(k!) = \\nu_{3}(A) = \\left\\lfloor \\frac{n}{2}\\right\\rfloor +\\left\\lfloor \\frac{n}{6}\\right\\rfloor +\\cdot \\cdot \\cdot < \\frac{3}{4} n.\\] \n\nwhere the first inequality follows by Legendre's formula \\(\\nu_{2}(k!) = k - s_{2}(k)\\) \n\nIn this way, we get \n\n\\[\\frac{9}{4} n + 3 > k > \\frac{n(n - 1)}{2}\\] \n\nwhich means \\(n\\leq 6\\) ; a manual check then shows the solutions we claimed earlier are the only ones. \n\nRemark. An amusing corollary of the problem pointed out in the shortlist is that the symmetric group \\(S_{k}\\) cannot be isomorphic to the group \\(\\mathrm{GL}_{n}(\\mathbb{F}_{2})\\) unless \\((n,k) = (1,1)\\) or \\((n,k) = (2,3)\\) , which indeed produce isomorphisms.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2019/4, proposed by Gabriel Chicas Reyes (SLV) \n"}} -{"year": "2019", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. Harry has \\(n\\) coins lined up on his desk, which can show either heads or tails. He does the following operation: if there are \\(k\\) coins which show heads and \\(k > 0\\) , then he flips the \\(k\\) th coin over; otherwise he stops the process. (For example, the process starting with \\(T H T\\) would be \\(T H T\\rightarrow H H T\\rightarrow H T T\\rightarrow T T T\\) , which takes three steps.) \n\nProve the process will always terminate, and determine the average number of steps this takes over all \\(2^{n}\\) configurations.", "solution": "The answer is \n\n\\[E_{n} = \\frac{1}{2} (1 + \\dots +n) = \\frac{1}{4} n(n + 1)\\] \n\nwhich is finite. \n\nWe'll represent the operation by a directed graph \\(G_{n}\\) on vertices \\(\\{0,1\\}^{n}\\) (each string points to its successor) with 1 corresponding to heads and 0 corresponding to tails. For \\(b\\in \\{0,1\\}\\) we let \\(\\overline{{b}} = 1 - b\\) , and denote binary strings as a sequence of \\(n\\) symbols. \n\nThe main claim is that \\(G_{n}\\) can be described explicitly in terms of \\(G_{n - 1}\\) : \n\n- We take two copies \\(X\\) and \\(Y\\) of \\(G_{n - 1}\\) . \n\n- In \\(X\\) , we take each string of length \\(n - 1\\) and just append a 0 to it. In symbols, we replace \\(s_{1}\\dots s_{n - 1}\\mapsto s_{1}\\dots s_{n - 1}0\\) . \n\n- In \\(Y\\) , we toggle every bit, then reverse the order, and then append a 1 to it. In symbols, we replace \\(s_{1}\\dots s_{n - 1}\\mapsto \\overline{s}_{n - 1}\\overline{s}_{n - 2}\\dots \\overline{s}_{1}1\\) . \n\n- Finally, we add one new edge from \\(Y\\) to \\(X\\) by \\(11\\dots 1\\mapsto 11\\dots 110\\) . \n\nAn illustration of \\(G_{4}\\) is given below. \n\n![](data:image/jpeg;base64,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)\n \n\nTo prove this claim, we need only show the arrows of this directed graph remain valid. The graph \\(X\\) is correct as a subgraph of \\(G_{n}\\) , since the extra 0 makes no difference. As for \\(Y\\) , note that if \\(s = s_{1}\\dots s_{n - 1}\\) had \\(k\\) ones, then the modified string has \\((n - 1 - k) + 1 = n - k\\)\n\n\n\nones, ergo \\(\\overline{s}_{n - 1}\\ldots \\overline{s}_{1}1\\mapsto \\overline{s}_{n - 1}\\ldots \\overline{s}_{k + 1}s_{k}\\overline{s}_{k - 1}\\ldots \\overline{s}_{1}1\\) which is what we wanted. Finally, the one edge from \\(Y\\) to \\(X\\) is obviously correct. \n\nTo finish, let \\(E_{n}\\) denote the desired expected value. Since \\(1\\ldots 1\\) takes \\(n\\) steps to finish we have \n\n\\[E_{n} = \\frac{1}{2} [E_{n - 1} + (E_{n - 1} + n)]\\] \n\nbased on cases on whether the chosen string is in \\(X\\) or \\(Y\\) or not. By induction, we have \\(E_{n} = \\frac{1}{2} (1 + \\dots +n) = \\frac{1}{4} n(n + 1)\\) , as desired. \n\nRemark. Actually, the following is true: if the indices of the 1's are \\(1\\leq i_{1}< \\dots < i_{\\ell}\\leq n\\) then the number of operations required is \n\n\\[2(i_{1} + \\dots +i_{\\ell}) - \\ell^{2}.\\] \n\nThis problem also has an interpretation as a Turing machine: the head starts at a position on the tape (the binary string). If it sees a 1, it changes the cell to a 0 and moves left; if it sees a 0, it changes the cell to a 1 and moves right.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2019/5, proposed by David Altizio (USA) \n"}} -{"year": "2019", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with incenter \\(I\\) and incircle \\(\\omega\\) . Let \\(D\\) , \\(E\\) , \\(F\\) denote the tangency points of \\(\\omega\\) with \\(\\overline{{B C}}\\) , \\(\\overline{{C A}}\\) , \\(\\overline{{A B}}\\) . The line through \\(D\\) perpendicular to \\(\\overline{{E F}}\\) meets \\(\\omega\\) again at \\(R\\) (other than \\(D\\) ), and line \\(A R\\) meets \\(\\omega\\) again at \\(P\\) (other than \\(R\\) ). Suppose the circumcircles of \\(\\triangle P C E\\) and \\(\\triangle P B F\\) meet again at \\(Q\\) (other than \\(P\\) ). Prove that lines \\(D I\\) and \\(P Q\\) meet on the external \\(\\angle A\\) -bisector.", "solution": "L \n\nWe present five solutions. \n\n\\(\\P\\) First solution by complex numbers (Evan Chen, with Yang Liu). We use complex numbers with \\(D = x\\) , \\(E = y\\) , \\(F = z\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nThen \\(A = \\frac{2y z}{y + z}\\) , \\(R = \\frac{- y z}{x}\\) and so \n\n\\[P = \\frac{A - R}{1 - R\\overline{{A}}} = \\frac{\\frac{2y z}{y + z} + \\frac{y z}{x}}{1 + \\frac{y z}{x}\\cdot\\frac{2}{y + z}} = \\frac{y z(2x + y + z)}{2y z + x(y + z)}.\\] \n\nWe now compute \n\n\\[O_{B} = \\operatorname *{det}\\left[ \\begin{array}{l l l}{P P P 1\\] \\[F F F 1\\] \\[B B B 1} \\end{array} \\right]\\div \\operatorname *{det}\\left[ \\begin{array}{l l l}{P P 1\\] \\[F F 1\\] \\[B B 1} \\end{array} \\right] = \\operatorname *{det}\\left[ \\begin{array}{l l l}{P 1 1\\] \\[z 1 1\\] \\[\\frac{2x z}{x + z}\\frac{4x z}{(x + z)^{2}} 1} \\end{array} \\right]\\div \\operatorname *{det}\\left[ \\begin{array}{l l l}{P 1 / P 1\\] \\[z 1 / z 1\\] \\[\\frac{2x z}{x + z}\\frac{2}{x + z} 1} \\end{array} \\right]\\] \\[\\quad = \\frac{1}{x + z}\\operatorname *{det}\\left[ \\begin{array}{l l l}{P 0 1\\] \\[z 0 1\\] \\[2x z(x + z) - (x - z)^{2} (x + z)^{2}} \\end{array} \\right]\\div \\operatorname *{det}\\left[ \\begin{array}{l l l}{P 1 / P 1\\] \\[z 1 / z 1\\] \\[\\frac{2x z}{x + z}\\frac{2}{x + z} 1} \\end{array} \\right]\\] \\[\\quad = \\frac{(x - z)^{2}}{x + z}\\cdot \\frac{P - z}{(x + z)(P / z - z / P) + 2z - 2x + \\frac{2x z}{P} - 2P\\]\n\n\n\n\\[= \\frac{(x - z)^{2}}{x + z}\\cdot \\frac{P - z}{(\\frac{x}{z} - 1)P - 2(x - z) + (xz - z^{2})\\frac{1}{P}}\\] \\[= \\frac{x - z}{x + z}\\cdot \\frac{P - z}{P / z + z / P - 2} = \\frac{x - z}{x + z}\\cdot \\frac{P - z}{\\frac{(P - z)^{2}}{P z}} = \\frac{x - z}{x + z}\\cdot \\frac{1}{\\frac{1}{z} - \\frac{1}{P}}\\] \\[= \\frac{x - z}{x + z}\\cdot \\frac{y(2x + y + z)}{y(2x + y + z) - (2yz + xy + xz)} = \\frac{x - z}{x + z}\\cdot \\frac{yz(2x + y + z)}{xy + y^{2} - yz - xz}\\] \\[= \\frac{x - z}{x + z}\\cdot \\frac{yz(2x + y + z)}{(y - z)(x + y)}.\\] \n\nSimilarly \n\n\\[O_{C} = \\frac{x - y}{x + y}\\cdot \\frac{yz(2x + y + z)}{(z - y)(x + z)}.\\] \n\nTherefore, subtraction gives \n\n\\[O_{B} - O_{C} = \\frac{yz(2x + y + z)}{(x + y)(x + z)(y - z)} [(x - z) + (x - y)] = \\frac{yz(2x + y + z)(2x - y - z)}{(x + y)(x + z)(z - y)}.\\] \n\nIt remains to compute \\(T\\) . Since \\(T \\in \\overline{ID}\\) we have \\(t / x \\in \\mathbb{R}\\) so \\(\\overline{t} = t / x^{2}\\) . Also, \n\n\\[t - \\frac{2yz}{y + z}\\in i\\mathbb{R}\\Rightarrow 0 = \\frac{t - \\frac{2yz}{y + z} + \\frac{t}{x^{2}} - \\frac{2}{y + z}}{\\frac{1}{y} + \\frac{1}{z}}\\] \\[\\qquad = \\frac{1 + \\frac{yz}{x^{2}}}{y + z} t - \\frac{2yz}{(y + z)^{2}} - \\frac{2yz}{(y + z)^{2}}\\] \\[\\qquad \\Rightarrow t = \\frac{x^{2}}{x^{2} + yz}\\cdot \\frac{4yz}{y + z}\\] \n\nThus \n\n\\[P - T = \\frac{yz(2x + y + z)}{2yz + x(y + z)} -\\frac{4x^{2}yz}{(x^{2} + yz)(y + z)}\\] \\[\\qquad = yz\\cdot \\frac{(2x + y + z)(x^{2} + yz)(y + z) - 4x^{2}(2yz + xy + xz)}{(y + z)(x^{2} + yz)(2yz + xy + xz)}\\] \\[\\qquad = -yz\\cdot \\frac{(2x - y - z)(x^{2}y + x^{2}z + 4xyz + y^{2}z + yz^{2})}{(y + z)(x^{2} + yz)(2yz + xy + xz)}.\\] \n\nThis gives \\(\\overline{PT} \\perp \\overline{O_{B}O_{C}}\\) as needed. \n\n\\(\\P\\) Second solution by tethered moving points, with optimization (Evan Chen). Fix \\(\\triangle DEF\\) and \\(\\omega\\) , with \\(B = \\overline{DD} \\cap \\overline{FF}\\) and \\(C = \\overline{DD} \\cap \\overline{EE}\\) . We consider a variable point \\(M\\) on \\(\\omega\\) and let \\(X\\) , \\(Y\\) be on \\(\\overline{EF}\\) with \\(\\overline{CY} \\cap \\| \\overline{ME}\\) , \\(\\overline{BX} \\cap \\| \\overline{MF}\\) . We define \\(W = \\overline{CY} \\cap \\overline{BX}\\) . Also, let line \\(MW\\) meet \\(\\omega\\) again at \\(V\\) .\n\n\n![](data:image/jpeg;base64,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)\n \n\nClaim (Angle chasing) — Pentagons \\(C V W X E\\) and \\(B V W Y F\\) are cyclic. \n\nProof. By \\(\\angle E V W = \\angle E V M = \\angle E F M = \\angle C E M = \\angle E C W\\) and \\(\\angle E X W = \\angle E F M =\\) \\(\\angle C E M = \\angle E C W\\) . \\(\\square\\) \n\nLet \\(N = \\overline{D M} \\cap \\overline{E F}\\) and \\(R'\\) be the \\(D\\) - antipode on \\(\\omega\\) . \n\nClaim (Black magic) — The points \\(V\\) , \\(N\\) , \\(R'\\) are collinear. \n\nProof. We use tethered moving points with \\(\\triangle D E F\\) fixed. \n\nObviously the map \\(\\omega \\mapsto \\overline{E F} \\mapsto \\omega\\) by \\(M \\mapsto N \\mapsto \\overline{R'N} \\cap \\omega\\) is projective. Also, the map \\(\\omega \\mapsto \\overline{E F} \\mapsto \\omega\\) by \\(M \\mapsto X \\mapsto V\\) is also projective (the first by projection to the line at infinity at back; the second say by inversion at \\(E\\) ). \n\nSo it suffices to check for three points. When \\(M = E\\) we get \\(N = E\\) so \\(\\overline{R'N} \\cap \\omega = E\\) , while \\(W = E\\) and thus \\(V = E\\) . The case \\(M = F\\) is similar. Finally, if \\(M = R'\\) , then \\(W\\) is the center of \\(\\omega\\) and so \\(V = \\overline{R'N} \\cap \\overline{E F} = D\\) . \\(\\square\\) \n\nWe now address the original problem by specializing \\(M\\) : choose it so that \\(N\\) is the midpoint of \\(\\overline{E F}\\) . Let \\(M' = \\overline{D A} \\cap (D E F)\\) . \n\nClaim — After this specialization, \\(V = P\\) and \\(W = Q\\) . \n\nProof. Thus \\(\\overline{R R'}\\) and \\(\\overline{M M'}\\) are parallel to \\(\\overline{E F}\\) . From \\((E F; P R) = - 1 = (E F; N \\infty) \\frac{R'}{2}\\) \\((E F; N V)\\) , we derive that \\(P = V\\) and \\(Q = R\\) , proving (i). \\(\\square\\) \n\nFinally, the concurrence requested follows by Pascal theorem on \\(M' M D R' P R\\) . \n\nThird solution by power of a point linearity (Luke Robitaille). Let us define \n\n\\[f(\\bullet) = \\mathrm{Pow}(\\bullet ,(C P E)) - \\mathrm{Pow}(\\bullet ,(B P F))\\] \n\nwhich is a linear function from the plane to \\(\\mathbb{R}\\) .\n\n\n\nDefine \\(W = \\overline{BA} \\cap \\overline{PE}\\) , \\(V = \\overline{AC} \\cap \\overline{PF}\\) . Also, let \\(W_{1} = \\overline{ER} \\cap \\overline{AB}\\) , \\(V_{1} = \\overline{FR} \\cap \\overline{AC}\\) . Note that \n\n\\[-1 = (PR;EF) \\stackrel{E}{=} (WA;W_{1}F)\\] \n\nand similarly \\((VA;V_{1}E) = - 1\\) . \n\nClaim — We have \n\n\\[f(F) = \\frac{|EF|\\cdot(s - c)\\sin C / 2}{\\sin B / 2}\\] \\[f(E) = -\\frac{|EF|\\cdot(s - b)\\sin B / 2}{\\sin C / 2}.\\] \n\nProof. We have \n\n\\[f(W) = WF^{2} - WB\\cdot WF = WF\\cdot BF\\] \n\nwhere lengths are directed. Next, \n\n\\[f(F) = \\frac{AF\\cdot f(W) + FW\\cdot f(A)}{AW}\\] \\[= \\frac{AF\\cdot WF\\cdot BF + FW\\cdot (AE\\cdot AC - AF\\cdot AB)}{AW}\\] \\[= \\frac{WF(AF\\cdot BF + AF\\cdot AB) + FW\\cdot AE\\cdot AC}{AW}\\] \\[= \\frac{WF\\cdot AF^{2} - WF\\cdot AE\\cdot AC}{AW} = \\frac{WF}{AW}\\cdot (AE^{2} - AE\\cdot AC)\\] \\[= \\frac{WF}{AW}\\cdot AE\\cdot CE = -\\frac{W_{1}F}{AW_{1}}\\cdot AE\\cdot CE.\\] \n\nSince \\(\\triangle DEF\\) is acute, the point \\(R\\) lies inside \\(\\triangle AEF\\) . Thus \\(W_{1}\\) lies inside segment \\(\\overline{AF}\\) and the ratio \\(\\frac{W_{1}F}{AW_{1}}\\) is positive. We now determine its value: by the ratio lemma \n\n\\[\\frac{|W_{1}F|}{|AW_{1}|} = \\frac{|EF|\\sin\\angle W_{1}EF}{|AE|\\sin\\angle AEW_{1}}\\] \\[= \\frac{|EF|\\sin\\angle REF}{|AE|\\sin\\angle AER}\\] \\[= \\frac{|EF|\\sin\\angle RDF}{|AE|\\sin\\angle EDR}\\] \\[= \\frac{|EF|\\sin C / 2}{|AE|\\sin B / 2}.\\] \n\nAlso, we have \\(AE \\cdot CE < 0\\) since \\(E\\) lies inside \\(\\overline{AC}\\) . Hence \n\n\\[f(F) = -\\frac{|EF|\\sin C / 2}{|AE|\\sin B / 2}\\cdot AE\\cdot CE = |EF|\\cdot \\frac{|CE|\\sin B / 2}{\\sin C / 2} = |EF|\\cdot \\frac{(s - c)\\sin B / 2}{\\sin C / 2}.\\] \n\nThe calculation for \\(f(E)\\) is similar, (noting the sign flips since \\(f\\) is anti- symmetric in terms of \\(B\\) and \\(C\\) ). \\(\\square\\) \n\nLet \\(Z \\in \\overline{DI}\\) with \\(\\angle ZAI = 90^{\\circ}\\) be the point requested in the problem now. Our goal is to show \\(f(Z) = 0\\) . We assume WLOG that \\(AB < AC\\) , so \\(\\frac{ZA}{EF} > 0\\) . Then \n\n\\[|ZA| = |AI|\\cdot \\tan \\angle AIZ\\]\n\n\n\n\\[= |A I|\\cdot \\tan \\angle (\\overline{{A I}},\\overline{{D I}})\\] \\[= \\frac{s - a}{\\cos A / 2}\\cdot \\tan (\\overline{{B C}},\\overline{{E F}})\\] \\[= \\frac{s - a}{\\cos A / 2}\\tan (B / 2 - C / 2).\\] \n\nTo this end we compute \n\n\\[\\begin{array}{r l} & {f(Z) = f(A) + [f(Z) - f(A)] = f(A) + \\frac{Z A}{E F} [f(E) - f(F)]}\\\\ & {\\quad = f(A) - \\frac{Z A}{E F}\\left[\\frac{|E F|\\cdot(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{|E F|\\cdot(s - c)\\sin C / 2}{\\sin B / 2}\\right]}\\\\ & {\\quad = f(A) - |Z A|\\left[\\frac{(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{(s - c)\\sin C / 2}{\\sin B / 2}\\right]}\\\\ & {\\quad = [b(s - a) - c(s - a)] - |Z A|\\left[\\frac{(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{(s - c)\\sin C / 2}{\\sin B / 2}\\right]}\\\\ & {\\quad = (b - c)(s - a) - \\frac{s - a}{\\cos A / 2}\\tan (B / 2 - C / 2)\\left[\\frac{(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{(s - c)\\sin C / 2}{\\sin B / 2}\\right].} \\end{array} \\quad (1)\\] \n\nDividing out, \n\n\\[\\frac{f(Z)}{s - a} = (b - c) - \\frac{1}{\\cos A / 2}\\tan (B / 2 - C / 2)\\left[\\frac{r\\cos B / 2}{\\sin C / 2} +\\frac{r\\cos C / 2}{\\sin B / 2}\\right]\\] \\[\\qquad = (b - c) - \\frac{r\\tan(B / 2 - C / 2)}{\\cos A / 2}\\cdot \\frac{\\cos B / 2\\sin B / 2 + \\cos C / 2\\sin C / 2}{\\sin C / 2\\sin B / 2}\\] \\[\\qquad = (b - c) - \\frac{r\\tan(B / 2 - C / 2)}{\\cos A / 2}\\cdot \\frac{\\sin B + \\sin C}{2\\sin C / 2\\sin B / 2}\\] \\[\\qquad = (b - c) - \\frac{r\\tan(B / 2 - C / 2)}{\\cos A / 2}\\cdot \\frac{\\sin(B / 2 + C / 2)\\cos(B / 2 - C / 2)}{\\sin C / 2\\sin B / 2}\\] \\[\\qquad = (b - c) - r\\frac{\\sin(B / 2 - C / 2)}{\\sin B / 2\\sin C / 2}\\] \\[\\qquad = (b - c) - r(\\cot C / 2 - \\cot B / 2) = (b - c) - ((s - c) - (s - b)) = 0.\\] \n\n\\(\\P\\) Fourth solution by incircle inversion (USA IMO live stream, led by Andrew Gu). Let \\(T\\) be the intersection of line \\(D I\\) and the external \\(\\angle A\\) - bisector. Also, let \\(G\\) be the antipode of \\(D\\) on \\(\\omega\\) . \n\nWe perform inversion around \\(\\omega\\) , using \\(\\bullet^{*}\\) for the inverse. Then \\(\\triangle A^{*}B^{*}C^{*}\\) is the medial triangle of \\(\\triangle D E F\\) , and \\(T^{*}\\) is the foot from \\(A^{*}\\) on to \\(\\overline{{D I}}\\) . If we denote \\(Q^{*}\\) as the second intersection of \\((P C^{*}E)\\) and \\((P B^{*}F)\\) , then the goal is to show that \\(Q^{*}\\) lies on \\((P I T^{*})\\) .\n\n\n![](data:image/jpeg;base64,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)\n \n\nClaim — Points \\(Q^{*}\\) , \\(B^{*}\\) , \\(C^{*}\\) are collinear. \n\nProof. \\(\\angle P Q^{*}C^{*} = \\angle P E C^{*} = \\angle P E D = \\angle P F D = \\angle P F B^{*} = \\angle P Q^{*}B^{*}\\) . \n\nClaim (cf Brazil 2011/5) — Points \\(P\\) , \\(A^{*}\\) , \\(G\\) are collinear. \n\nProof. Project harmonic quadrilateral \\(PERF\\) through \\(G\\) , noting \\(\\overline{GR} \\parallel \\overline{EF}\\) . \n\nDenote by \\(M\\) the center of parallelogram \\(DC^{*}A^{*}B^{*}\\) . Note that it is the center of the circle with diameter \\(\\overline{DA^{*}}\\) , which passes through \\(P\\) and \\(T^{*}\\) . Also, \\(\\overline{MI} \\parallel \\overline{PA^{*}G}\\) . \n\nClaim — Points \\(P\\) , \\(M\\) , \\(I\\) , \\(T^{*}\\) are cyclic. \n\nProof. \\(\\angle IT^{*}P = \\angle DT^{*}P = \\angle DA^{*}P = \\angle MA^{*}P = \\angle A^{*}PM = \\angle IMP\\) . \n\nClaim — Points \\(P\\) , \\(M\\) , \\(I\\) , \\(Q^{*}\\) are cyclic. \n\nProof. \\(\\angle MQ^{*}P = \\angle C^{*}Q^{*}P = \\angle C^{*}EP = \\angle DEP = \\angle DGP = \\angle GPI = \\angle MIP\\) . \n\nFifth solution by double inversion (Brandon Wang, Luke Robitaille, Michael Ren, Evan Chen). We outline one final approach. After inverting about \\(\\omega\\) as in the previous approach, we then apply another inversion around \\(P\\) . Dropping the apostrophes/stars/etc now one can check that the problem we arrive at becomes the following. \n\n## Proposition (Doubly inverted problem) \n\nIn \\(\\triangle PEF\\) , the \\(P\\) - symmedian meets \\(\\overline{EF}\\) and \\((PEF)\\) at \\(K\\) , \\(L\\) . Let \\(D \\in \\overline{EF}\\) with \\(\\angle DPK = 90^{\\circ}\\) , and let \\(T\\) be the foot from \\(K\\) to \\(\\overline{DL}\\) . Denote by \\(I\\) the reflection of \\(P\\) about \\(\\overline{EF}\\) . Finally, let \\(PDNE\\) and \\(PDMF\\) be cyclic harmonic quadrilaterals. Then lines \\(EN\\) , \\(MF\\) , \\(TI\\) , are concurrent.\n\n\n\nThe proof proceeds in three steps. Suppose the line through \\(L\\) perpendicular to \\(\\overline{EF}\\) meets \\(\\overline{EF}\\) at \\(W\\) and \\((PEF)\\) at \\(Z\\) . \n\n![](data:image/jpeg;base64,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)\n \n\n1. Since \\(\\angle ZEP = \\angle WLP = \\angle WDP\\) , it follows \\(\\overline{ZE}\\) is tangent to \\((PDNE)\\) . Similarly, \\(\\overline{ZF}\\) is tangent to \\((PDMF)\\) . \n\n2. \\(\\Delta WTP\\) is the orthic triangle of \\(\\triangle DKL\\) , so \\(\\overline{WD}\\) bisects \\(\\angle PWT\\) and \\(\\overline{WTI}\\) collinear. \n\n3. \\(-1 = E(PN; DZ) = F(PM; DZ) = W(PI; DZ)\\) , so \\(\\overline{EN}\\) , \\(\\overline{FM}\\) , \\(\\overline{WI}\\) meet on \\(\\overline{PZ}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2019/6, proposed by Anant Mudgal (IND) \n"}} +{"year": "2019", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. Harry has \\(n\\) coins lined up on his desk, which can show either heads or tails. He does the following operation: if there are \\(k\\) coins which show heads and \\(k > 0\\) , then he flips the \\(k\\) th coin over; otherwise he stops the process. (For example, the process starting with \\(T H T\\) would be \\(T H T\\rightarrow H H T\\rightarrow H T T\\rightarrow T T T\\) , which takes three steps.) \n\nProve the process will always terminate, and determine the average number of steps this takes over all \\(2^{n}\\) configurations.", "solution": "The answer is \n\n\\[E_{n} = \\frac{1}{2} (1 + \\dots +n) = \\frac{1}{4} n(n + 1)\\] \n\nwhich is finite. \n\nWe'll represent the operation by a directed graph \\(G_{n}\\) on vertices \\(\\{0,1\\}^{n}\\) (each string points to its successor) with 1 corresponding to heads and 0 corresponding to tails. For \\(b\\in \\{0,1\\}\\) we let \\(\\overline{{b}} = 1 - b\\) , and denote binary strings as a sequence of \\(n\\) symbols. \n\nThe main claim is that \\(G_{n}\\) can be described explicitly in terms of \\(G_{n - 1}\\) : \n\n- We take two copies \\(X\\) and \\(Y\\) of \\(G_{n - 1}\\) . \n\n- In \\(X\\) , we take each string of length \\(n - 1\\) and just append a 0 to it. In symbols, we replace \\(s_{1}\\dots s_{n - 1}\\mapsto s_{1}\\dots s_{n - 1}0\\) . \n\n- In \\(Y\\) , we toggle every bit, then reverse the order, and then append a 1 to it. In symbols, we replace \\(s_{1}\\dots s_{n - 1}\\mapsto \\overline{s}_{n - 1}\\overline{s}_{n - 2}\\dots \\overline{s}_{1}1\\) . \n\n- Finally, we add one new edge from \\(Y\\) to \\(X\\) by \\(11\\dots 1\\mapsto 11\\dots 110\\) . \n\nAn illustration of \\(G_{4}\\) is given below. \n\n![md5:8602b5602e0a22ef7153faa8f53916bd](8602b5602e0a22ef7153faa8f53916bd.jpeg)\n \n\nTo prove this claim, we need only show the arrows of this directed graph remain valid. The graph \\(X\\) is correct as a subgraph of \\(G_{n}\\) , since the extra 0 makes no difference. As for \\(Y\\) , note that if \\(s = s_{1}\\dots s_{n - 1}\\) had \\(k\\) ones, then the modified string has \\((n - 1 - k) + 1 = n - k\\)\n\n\n\nones, ergo \\(\\overline{s}_{n - 1}\\ldots \\overline{s}_{1}1\\mapsto \\overline{s}_{n - 1}\\ldots \\overline{s}_{k + 1}s_{k}\\overline{s}_{k - 1}\\ldots \\overline{s}_{1}1\\) which is what we wanted. Finally, the one edge from \\(Y\\) to \\(X\\) is obviously correct. \n\nTo finish, let \\(E_{n}\\) denote the desired expected value. Since \\(1\\ldots 1\\) takes \\(n\\) steps to finish we have \n\n\\[E_{n} = \\frac{1}{2} [E_{n - 1} + (E_{n - 1} + n)]\\] \n\nbased on cases on whether the chosen string is in \\(X\\) or \\(Y\\) or not. By induction, we have \\(E_{n} = \\frac{1}{2} (1 + \\dots +n) = \\frac{1}{4} n(n + 1)\\) , as desired. \n\nRemark. Actually, the following is true: if the indices of the 1's are \\(1\\leq i_{1}< \\dots < i_{\\ell}\\leq n\\) then the number of operations required is \n\n\\[2(i_{1} + \\dots +i_{\\ell}) - \\ell^{2}.\\] \n\nThis problem also has an interpretation as a Turing machine: the head starts at a position on the tape (the binary string). If it sees a 1, it changes the cell to a 0 and moves left; if it sees a 0, it changes the cell to a 1 and moves right.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2019/5, proposed by David Altizio (USA) \n"}} +{"year": "2019", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be a triangle with incenter \\(I\\) and incircle \\(\\omega\\) . Let \\(D\\) , \\(E\\) , \\(F\\) denote the tangency points of \\(\\omega\\) with \\(\\overline{{B C}}\\) , \\(\\overline{{C A}}\\) , \\(\\overline{{A B}}\\) . The line through \\(D\\) perpendicular to \\(\\overline{{E F}}\\) meets \\(\\omega\\) again at \\(R\\) (other than \\(D\\) ), and line \\(A R\\) meets \\(\\omega\\) again at \\(P\\) (other than \\(R\\) ). Suppose the circumcircles of \\(\\triangle P C E\\) and \\(\\triangle P B F\\) meet again at \\(Q\\) (other than \\(P\\) ). Prove that lines \\(D I\\) and \\(P Q\\) meet on the external \\(\\angle A\\) -bisector.", "solution": "L \n\nWe present five solutions. \n\n\\(\\P\\) First solution by complex numbers (Evan Chen, with Yang Liu). We use complex numbers with \\(D = x\\) , \\(E = y\\) , \\(F = z\\) . \n\n![md5:896ec53c8bce053ce4b0744dd3eb359f](896ec53c8bce053ce4b0744dd3eb359f.jpeg)\n \n\nThen \\(A = \\frac{2y z}{y + z}\\) , \\(R = \\frac{- y z}{x}\\) and so \n\n\\[P = \\frac{A - R}{1 - R\\overline{{A}}} = \\frac{\\frac{2y z}{y + z} + \\frac{y z}{x}}{1 + \\frac{y z}{x}\\cdot\\frac{2}{y + z}} = \\frac{y z(2x + y + z)}{2y z + x(y + z)}.\\] \n\nWe now compute \n\n\\[O_{B} = \\operatorname *{det}\\left[ \\begin{array}{l l l}{P P P 1\\] \\[F F F 1\\] \\[B B B 1} \\end{array} \\right]\\div \\operatorname *{det}\\left[ \\begin{array}{l l l}{P P 1\\] \\[F F 1\\] \\[B B 1} \\end{array} \\right] = \\operatorname *{det}\\left[ \\begin{array}{l l l}{P 1 1\\] \\[z 1 1\\] \\[\\frac{2x z}{x + z}\\frac{4x z}{(x + z)^{2}} 1} \\end{array} \\right]\\div \\operatorname *{det}\\left[ \\begin{array}{l l l}{P 1 / P 1\\] \\[z 1 / z 1\\] \\[\\frac{2x z}{x + z}\\frac{2}{x + z} 1} \\end{array} \\right]\\] \\[\\quad = \\frac{1}{x + z}\\operatorname *{det}\\left[ \\begin{array}{l l l}{P 0 1\\] \\[z 0 1\\] \\[2x z(x + z) - (x - z)^{2} (x + z)^{2}} \\end{array} \\right]\\div \\operatorname *{det}\\left[ \\begin{array}{l l l}{P 1 / P 1\\] \\[z 1 / z 1\\] \\[\\frac{2x z}{x + z}\\frac{2}{x + z} 1} \\end{array} \\right]\\] \\[\\quad = \\frac{(x - z)^{2}}{x + z}\\cdot \\frac{P - z}{(x + z)(P / z - z / P) + 2z - 2x + \\frac{2x z}{P} - 2P\\]\n\n\n\n\\[= \\frac{(x - z)^{2}}{x + z}\\cdot \\frac{P - z}{(\\frac{x}{z} - 1)P - 2(x - z) + (xz - z^{2})\\frac{1}{P}}\\] \\[= \\frac{x - z}{x + z}\\cdot \\frac{P - z}{P / z + z / P - 2} = \\frac{x - z}{x + z}\\cdot \\frac{P - z}{\\frac{(P - z)^{2}}{P z}} = \\frac{x - z}{x + z}\\cdot \\frac{1}{\\frac{1}{z} - \\frac{1}{P}}\\] \\[= \\frac{x - z}{x + z}\\cdot \\frac{y(2x + y + z)}{y(2x + y + z) - (2yz + xy + xz)} = \\frac{x - z}{x + z}\\cdot \\frac{yz(2x + y + z)}{xy + y^{2} - yz - xz}\\] \\[= \\frac{x - z}{x + z}\\cdot \\frac{yz(2x + y + z)}{(y - z)(x + y)}.\\] \n\nSimilarly \n\n\\[O_{C} = \\frac{x - y}{x + y}\\cdot \\frac{yz(2x + y + z)}{(z - y)(x + z)}.\\] \n\nTherefore, subtraction gives \n\n\\[O_{B} - O_{C} = \\frac{yz(2x + y + z)}{(x + y)(x + z)(y - z)} [(x - z) + (x - y)] = \\frac{yz(2x + y + z)(2x - y - z)}{(x + y)(x + z)(z - y)}.\\] \n\nIt remains to compute \\(T\\) . Since \\(T \\in \\overline{ID}\\) we have \\(t / x \\in \\mathbb{R}\\) so \\(\\overline{t} = t / x^{2}\\) . Also, \n\n\\[t - \\frac{2yz}{y + z}\\in i\\mathbb{R}\\Rightarrow 0 = \\frac{t - \\frac{2yz}{y + z} + \\frac{t}{x^{2}} - \\frac{2}{y + z}}{\\frac{1}{y} + \\frac{1}{z}}\\] \\[\\qquad = \\frac{1 + \\frac{yz}{x^{2}}}{y + z} t - \\frac{2yz}{(y + z)^{2}} - \\frac{2yz}{(y + z)^{2}}\\] \\[\\qquad \\Rightarrow t = \\frac{x^{2}}{x^{2} + yz}\\cdot \\frac{4yz}{y + z}\\] \n\nThus \n\n\\[P - T = \\frac{yz(2x + y + z)}{2yz + x(y + z)} -\\frac{4x^{2}yz}{(x^{2} + yz)(y + z)}\\] \\[\\qquad = yz\\cdot \\frac{(2x + y + z)(x^{2} + yz)(y + z) - 4x^{2}(2yz + xy + xz)}{(y + z)(x^{2} + yz)(2yz + xy + xz)}\\] \\[\\qquad = -yz\\cdot \\frac{(2x - y - z)(x^{2}y + x^{2}z + 4xyz + y^{2}z + yz^{2})}{(y + z)(x^{2} + yz)(2yz + xy + xz)}.\\] \n\nThis gives \\(\\overline{PT} \\perp \\overline{O_{B}O_{C}}\\) as needed. \n\n\\(\\P\\) Second solution by tethered moving points, with optimization (Evan Chen). Fix \\(\\triangle DEF\\) and \\(\\omega\\) , with \\(B = \\overline{DD} \\cap \\overline{FF}\\) and \\(C = \\overline{DD} \\cap \\overline{EE}\\) . We consider a variable point \\(M\\) on \\(\\omega\\) and let \\(X\\) , \\(Y\\) be on \\(\\overline{EF}\\) with \\(\\overline{CY} \\cap \\| \\overline{ME}\\) , \\(\\overline{BX} \\cap \\| \\overline{MF}\\) . We define \\(W = \\overline{CY} \\cap \\overline{BX}\\) . Also, let line \\(MW\\) meet \\(\\omega\\) again at \\(V\\) .\n\n\n![md5:ae95bc2f90a25bc670be0cfff825fe8e](ae95bc2f90a25bc670be0cfff825fe8e.jpeg)\n \n\nClaim (Angle chasing) — Pentagons \\(C V W X E\\) and \\(B V W Y F\\) are cyclic. \n\nProof. By \\(\\angle E V W = \\angle E V M = \\angle E F M = \\angle C E M = \\angle E C W\\) and \\(\\angle E X W = \\angle E F M =\\) \\(\\angle C E M = \\angle E C W\\) . \\(\\square\\) \n\nLet \\(N = \\overline{D M} \\cap \\overline{E F}\\) and \\(R'\\) be the \\(D\\) - antipode on \\(\\omega\\) . \n\nClaim (Black magic) — The points \\(V\\) , \\(N\\) , \\(R'\\) are collinear. \n\nProof. We use tethered moving points with \\(\\triangle D E F\\) fixed. \n\nObviously the map \\(\\omega \\mapsto \\overline{E F} \\mapsto \\omega\\) by \\(M \\mapsto N \\mapsto \\overline{R'N} \\cap \\omega\\) is projective. Also, the map \\(\\omega \\mapsto \\overline{E F} \\mapsto \\omega\\) by \\(M \\mapsto X \\mapsto V\\) is also projective (the first by projection to the line at infinity at back; the second say by inversion at \\(E\\) ). \n\nSo it suffices to check for three points. When \\(M = E\\) we get \\(N = E\\) so \\(\\overline{R'N} \\cap \\omega = E\\) , while \\(W = E\\) and thus \\(V = E\\) . The case \\(M = F\\) is similar. Finally, if \\(M = R'\\) , then \\(W\\) is the center of \\(\\omega\\) and so \\(V = \\overline{R'N} \\cap \\overline{E F} = D\\) . \\(\\square\\) \n\nWe now address the original problem by specializing \\(M\\) : choose it so that \\(N\\) is the midpoint of \\(\\overline{E F}\\) . Let \\(M' = \\overline{D A} \\cap (D E F)\\) . \n\nClaim — After this specialization, \\(V = P\\) and \\(W = Q\\) . \n\nProof. Thus \\(\\overline{R R'}\\) and \\(\\overline{M M'}\\) are parallel to \\(\\overline{E F}\\) . From \\((E F; P R) = - 1 = (E F; N \\infty) \\frac{R'}{2}\\) \\((E F; N V)\\) , we derive that \\(P = V\\) and \\(Q = R\\) , proving (i). \\(\\square\\) \n\nFinally, the concurrence requested follows by Pascal theorem on \\(M' M D R' P R\\) . \n\nThird solution by power of a point linearity (Luke Robitaille). Let us define \n\n\\[f(\\bullet) = \\mathrm{Pow}(\\bullet ,(C P E)) - \\mathrm{Pow}(\\bullet ,(B P F))\\] \n\nwhich is a linear function from the plane to \\(\\mathbb{R}\\) .\n\n\n\nDefine \\(W = \\overline{BA} \\cap \\overline{PE}\\) , \\(V = \\overline{AC} \\cap \\overline{PF}\\) . Also, let \\(W_{1} = \\overline{ER} \\cap \\overline{AB}\\) , \\(V_{1} = \\overline{FR} \\cap \\overline{AC}\\) . Note that \n\n\\[-1 = (PR;EF) \\stackrel{E}{=} (WA;W_{1}F)\\] \n\nand similarly \\((VA;V_{1}E) = - 1\\) . \n\nClaim — We have \n\n\\[f(F) = \\frac{|EF|\\cdot(s - c)\\sin C / 2}{\\sin B / 2}\\] \\[f(E) = -\\frac{|EF|\\cdot(s - b)\\sin B / 2}{\\sin C / 2}.\\] \n\nProof. We have \n\n\\[f(W) = WF^{2} - WB\\cdot WF = WF\\cdot BF\\] \n\nwhere lengths are directed. Next, \n\n\\[f(F) = \\frac{AF\\cdot f(W) + FW\\cdot f(A)}{AW}\\] \\[= \\frac{AF\\cdot WF\\cdot BF + FW\\cdot (AE\\cdot AC - AF\\cdot AB)}{AW}\\] \\[= \\frac{WF(AF\\cdot BF + AF\\cdot AB) + FW\\cdot AE\\cdot AC}{AW}\\] \\[= \\frac{WF\\cdot AF^{2} - WF\\cdot AE\\cdot AC}{AW} = \\frac{WF}{AW}\\cdot (AE^{2} - AE\\cdot AC)\\] \\[= \\frac{WF}{AW}\\cdot AE\\cdot CE = -\\frac{W_{1}F}{AW_{1}}\\cdot AE\\cdot CE.\\] \n\nSince \\(\\triangle DEF\\) is acute, the point \\(R\\) lies inside \\(\\triangle AEF\\) . Thus \\(W_{1}\\) lies inside segment \\(\\overline{AF}\\) and the ratio \\(\\frac{W_{1}F}{AW_{1}}\\) is positive. We now determine its value: by the ratio lemma \n\n\\[\\frac{|W_{1}F|}{|AW_{1}|} = \\frac{|EF|\\sin\\angle W_{1}EF}{|AE|\\sin\\angle AEW_{1}}\\] \\[= \\frac{|EF|\\sin\\angle REF}{|AE|\\sin\\angle AER}\\] \\[= \\frac{|EF|\\sin\\angle RDF}{|AE|\\sin\\angle EDR}\\] \\[= \\frac{|EF|\\sin C / 2}{|AE|\\sin B / 2}.\\] \n\nAlso, we have \\(AE \\cdot CE < 0\\) since \\(E\\) lies inside \\(\\overline{AC}\\) . Hence \n\n\\[f(F) = -\\frac{|EF|\\sin C / 2}{|AE|\\sin B / 2}\\cdot AE\\cdot CE = |EF|\\cdot \\frac{|CE|\\sin B / 2}{\\sin C / 2} = |EF|\\cdot \\frac{(s - c)\\sin B / 2}{\\sin C / 2}.\\] \n\nThe calculation for \\(f(E)\\) is similar, (noting the sign flips since \\(f\\) is anti- symmetric in terms of \\(B\\) and \\(C\\) ). \\(\\square\\) \n\nLet \\(Z \\in \\overline{DI}\\) with \\(\\angle ZAI = 90^{\\circ}\\) be the point requested in the problem now. Our goal is to show \\(f(Z) = 0\\) . We assume WLOG that \\(AB < AC\\) , so \\(\\frac{ZA}{EF} > 0\\) . Then \n\n\\[|ZA| = |AI|\\cdot \\tan \\angle AIZ\\]\n\n\n\n\\[= |A I|\\cdot \\tan \\angle (\\overline{{A I}},\\overline{{D I}})\\] \\[= \\frac{s - a}{\\cos A / 2}\\cdot \\tan (\\overline{{B C}},\\overline{{E F}})\\] \\[= \\frac{s - a}{\\cos A / 2}\\tan (B / 2 - C / 2).\\] \n\nTo this end we compute \n\n\\[\\begin{array}{r l} & {f(Z) = f(A) + [f(Z) - f(A)] = f(A) + \\frac{Z A}{E F} [f(E) - f(F)]}\\\\ & {\\quad = f(A) - \\frac{Z A}{E F}\\left[\\frac{|E F|\\cdot(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{|E F|\\cdot(s - c)\\sin C / 2}{\\sin B / 2}\\right]}\\\\ & {\\quad = f(A) - |Z A|\\left[\\frac{(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{(s - c)\\sin C / 2}{\\sin B / 2}\\right]}\\\\ & {\\quad = [b(s - a) - c(s - a)] - |Z A|\\left[\\frac{(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{(s - c)\\sin C / 2}{\\sin B / 2}\\right]}\\\\ & {\\quad = (b - c)(s - a) - \\frac{s - a}{\\cos A / 2}\\tan (B / 2 - C / 2)\\left[\\frac{(s - b)\\sin B / 2}{\\sin C / 2} +\\frac{(s - c)\\sin C / 2}{\\sin B / 2}\\right].} \\end{array} \\quad (1)\\] \n\nDividing out, \n\n\\[\\frac{f(Z)}{s - a} = (b - c) - \\frac{1}{\\cos A / 2}\\tan (B / 2 - C / 2)\\left[\\frac{r\\cos B / 2}{\\sin C / 2} +\\frac{r\\cos C / 2}{\\sin B / 2}\\right]\\] \\[\\qquad = (b - c) - \\frac{r\\tan(B / 2 - C / 2)}{\\cos A / 2}\\cdot \\frac{\\cos B / 2\\sin B / 2 + \\cos C / 2\\sin C / 2}{\\sin C / 2\\sin B / 2}\\] \\[\\qquad = (b - c) - \\frac{r\\tan(B / 2 - C / 2)}{\\cos A / 2}\\cdot \\frac{\\sin B + \\sin C}{2\\sin C / 2\\sin B / 2}\\] \\[\\qquad = (b - c) - \\frac{r\\tan(B / 2 - C / 2)}{\\cos A / 2}\\cdot \\frac{\\sin(B / 2 + C / 2)\\cos(B / 2 - C / 2)}{\\sin C / 2\\sin B / 2}\\] \\[\\qquad = (b - c) - r\\frac{\\sin(B / 2 - C / 2)}{\\sin B / 2\\sin C / 2}\\] \\[\\qquad = (b - c) - r(\\cot C / 2 - \\cot B / 2) = (b - c) - ((s - c) - (s - b)) = 0.\\] \n\n\\(\\P\\) Fourth solution by incircle inversion (USA IMO live stream, led by Andrew Gu). Let \\(T\\) be the intersection of line \\(D I\\) and the external \\(\\angle A\\) - bisector. Also, let \\(G\\) be the antipode of \\(D\\) on \\(\\omega\\) . \n\nWe perform inversion around \\(\\omega\\) , using \\(\\bullet^{*}\\) for the inverse. Then \\(\\triangle A^{*}B^{*}C^{*}\\) is the medial triangle of \\(\\triangle D E F\\) , and \\(T^{*}\\) is the foot from \\(A^{*}\\) on to \\(\\overline{{D I}}\\) . If we denote \\(Q^{*}\\) as the second intersection of \\((P C^{*}E)\\) and \\((P B^{*}F)\\) , then the goal is to show that \\(Q^{*}\\) lies on \\((P I T^{*})\\) .\n\n\n![md5:bb3fcbdce69a86edf09216d3d1c19a63](bb3fcbdce69a86edf09216d3d1c19a63.jpeg)\n \n\nClaim — Points \\(Q^{*}\\) , \\(B^{*}\\) , \\(C^{*}\\) are collinear. \n\nProof. \\(\\angle P Q^{*}C^{*} = \\angle P E C^{*} = \\angle P E D = \\angle P F D = \\angle P F B^{*} = \\angle P Q^{*}B^{*}\\) . \n\nClaim (cf Brazil 2011/5) — Points \\(P\\) , \\(A^{*}\\) , \\(G\\) are collinear. \n\nProof. Project harmonic quadrilateral \\(PERF\\) through \\(G\\) , noting \\(\\overline{GR} \\parallel \\overline{EF}\\) . \n\nDenote by \\(M\\) the center of parallelogram \\(DC^{*}A^{*}B^{*}\\) . Note that it is the center of the circle with diameter \\(\\overline{DA^{*}}\\) , which passes through \\(P\\) and \\(T^{*}\\) . Also, \\(\\overline{MI} \\parallel \\overline{PA^{*}G}\\) . \n\nClaim — Points \\(P\\) , \\(M\\) , \\(I\\) , \\(T^{*}\\) are cyclic. \n\nProof. \\(\\angle IT^{*}P = \\angle DT^{*}P = \\angle DA^{*}P = \\angle MA^{*}P = \\angle A^{*}PM = \\angle IMP\\) . \n\nClaim — Points \\(P\\) , \\(M\\) , \\(I\\) , \\(Q^{*}\\) are cyclic. \n\nProof. \\(\\angle MQ^{*}P = \\angle C^{*}Q^{*}P = \\angle C^{*}EP = \\angle DEP = \\angle DGP = \\angle GPI = \\angle MIP\\) . \n\nFifth solution by double inversion (Brandon Wang, Luke Robitaille, Michael Ren, Evan Chen). We outline one final approach. After inverting about \\(\\omega\\) as in the previous approach, we then apply another inversion around \\(P\\) . Dropping the apostrophes/stars/etc now one can check that the problem we arrive at becomes the following. \n\n## Proposition (Doubly inverted problem) \n\nIn \\(\\triangle PEF\\) , the \\(P\\) - symmedian meets \\(\\overline{EF}\\) and \\((PEF)\\) at \\(K\\) , \\(L\\) . Let \\(D \\in \\overline{EF}\\) with \\(\\angle DPK = 90^{\\circ}\\) , and let \\(T\\) be the foot from \\(K\\) to \\(\\overline{DL}\\) . Denote by \\(I\\) the reflection of \\(P\\) about \\(\\overline{EF}\\) . Finally, let \\(PDNE\\) and \\(PDMF\\) be cyclic harmonic quadrilaterals. Then lines \\(EN\\) , \\(MF\\) , \\(TI\\) , are concurrent.\n\n\n\nThe proof proceeds in three steps. Suppose the line through \\(L\\) perpendicular to \\(\\overline{EF}\\) meets \\(\\overline{EF}\\) at \\(W\\) and \\((PEF)\\) at \\(Z\\) . \n\n![md5:5e9834381d36b3c9afc2d27efb37494b](5e9834381d36b3c9afc2d27efb37494b.jpeg)\n \n\n1. Since \\(\\angle ZEP = \\angle WLP = \\angle WDP\\) , it follows \\(\\overline{ZE}\\) is tangent to \\((PDNE)\\) . Similarly, \\(\\overline{ZF}\\) is tangent to \\((PDMF)\\) . \n\n2. \\(\\Delta WTP\\) is the orthic triangle of \\(\\triangle DKL\\) , so \\(\\overline{WD}\\) bisects \\(\\angle PWT\\) and \\(\\overline{WTI}\\) collinear. \n\n3. \\(-1 = E(PN; DZ) = F(PM; DZ) = W(PI; DZ)\\) , so \\(\\overline{EN}\\) , \\(\\overline{FM}\\) , \\(\\overline{WI}\\) meet on \\(\\overline{PZ}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2019-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2019/6, proposed by Anant Mudgal (IND) \n"}} diff --git a/IMO/segmented/en-IMO-2020-notes.jsonl b/IMO/segmented/en-IMO-2020-notes.jsonl index 107905eb58e0c7a89d65a34b65fc81a4780da9da..c36d6e406fa20fedfe8dd60c031a34306d387539 100644 --- a/IMO/segmented/en-IMO-2020-notes.jsonl +++ b/IMO/segmented/en-IMO-2020-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2020", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Consider the convex quadrilateral \\(ABCD\\) . The point \\(P\\) is in the interior of \\(ABCD\\) . The following ratio equalities hold: \n\n\\[\\angle PAD:\\angle PBA:\\angle DPA = 1:2:3 = \\angle CBP:\\angle BAP:\\angle BPC.\\] \n\nProve that the following three lines meet in a point: the internal bisectors of angles \\(\\angle ADP\\) and \\(\\angle PCB\\) and the perpendicular bisector of segment \\(AB\\) .", "solution": "Let \\(O\\) denote the circumcenter of \\(\\triangle PAB\\) . We claim it is the desired concurrency point. \n\n![](data:image/jpeg;base64,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)\n \n\nIndeed, \\(O\\) obviously lies on the perpendicular bisector of \\(AB\\) . Now \n\n\\[\\angle BCP = \\angle CBP + \\angle BPC\\] \\[\\qquad = 2\\angle BAP = \\angle BOP\\] \n\nit follows \\(BOPC\\) are cyclic. And since \\(OP = OB\\) , it follows that \\(O\\) is on the bisector of \\(\\angle PCB\\) , as needed. \n\nRemark. The angle equality is only used insomuch \\(\\angle BAP\\) is the average of \\(\\angle CBP\\) and \\(\\angle BPC\\) , i.e. only \\(\\frac{1 + 3}{2} = 2\\) matters.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2020/1, proposed by Dominik Burek (POL) \n"}} +{"year": "2020", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Consider the convex quadrilateral \\(ABCD\\) . The point \\(P\\) is in the interior of \\(ABCD\\) . The following ratio equalities hold: \n\n\\[\\angle PAD:\\angle PBA:\\angle DPA = 1:2:3 = \\angle CBP:\\angle BAP:\\angle BPC.\\] \n\nProve that the following three lines meet in a point: the internal bisectors of angles \\(\\angle ADP\\) and \\(\\angle PCB\\) and the perpendicular bisector of segment \\(AB\\) .", "solution": "Let \\(O\\) denote the circumcenter of \\(\\triangle PAB\\) . We claim it is the desired concurrency point. \n\n![md5:45d4d24773621536fa266242661b5b8a](45d4d24773621536fa266242661b5b8a.jpeg)\n \n\nIndeed, \\(O\\) obviously lies on the perpendicular bisector of \\(AB\\) . Now \n\n\\[\\angle BCP = \\angle CBP + \\angle BPC\\] \\[\\qquad = 2\\angle BAP = \\angle BOP\\] \n\nit follows \\(BOPC\\) are cyclic. And since \\(OP = OB\\) , it follows that \\(O\\) is on the bisector of \\(\\angle PCB\\) , as needed. \n\nRemark. The angle equality is only used insomuch \\(\\angle BAP\\) is the average of \\(\\angle CBP\\) and \\(\\angle BPC\\) , i.e. only \\(\\frac{1 + 3}{2} = 2\\) matters.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2020/1, proposed by Dominik Burek (POL) \n"}} {"year": "2020", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(a \\geq b \\geq c \\geq d > 0\\) be real numbers satisfying \\(a + b + c + d = 1\\) . Prove that \n\n\\[(a + 2b + 3c + 4d)a^{a}b^{b}c^{c}d^{d}< 1.\\]", "solution": "By weighted AM- GM we have \n\n\\[a^{a}b^{b}c^{c}d^{d}\\leq \\sum_{\\mathrm{cyc}}\\frac{a}{a + b + c + d}\\cdot a = a^{2} + b^{2} + c^{2} + d^{2}.\\] \n\nSo, it is enough to prove that \n\n\\[(a^{2} + b^{2} + c^{2} + d^{2})(a + 2b + 3c + 4d)\\leq 1 = (a + b + c + d)^{3}.\\] \n\nExpand both sides to get \n\n\\[+a^{3} + b^{2}a +c^{2}a +d^{2}a +a^{3} + 3b^{2}a +3c^{2}a +3d^{2}a\\] \\[+2a^{2}b +2b^{3} + 2bc^{2} + 2d^{2}b +3a^{2}b +b^{3} + 3bc^{2} + 3d^{2}b\\] \\[+3a^{2}c +3b^{2}c +3c^{3} + 3d^{2}c +3a^{2}c +3b^{2}c +c^{3} + 3d^{2}c\\] \\[+4a^{2}d +4b^{2}d +4c^{2}d +4d^{3} + 6abc +6bcd +6cda +6dab.\\] \n\nIn other words, we need to prove that \n\n\\[+b^{3} + 2b^{2}a +2c^{2}a +2d^{2}a\\] \\[+a^{2}b +b c^{2} + d^{2}b\\] \\[+a^{2}d +b^{2}d +c^{2}d +3d^{3} + 6abc +6bcd +6cda +6dab\\] \n\nThis follows since \n\n\\[2b^{2}a\\geq b^{3} + b^{2}d\\] \\[2c^{2}a\\geq 2c^{3}\\] \\[2d^{2}a\\geq 2d^{3}\\] \\[a^{2}b\\geq a^{2}d\\] \\[bc^{2}\\geq c^{2}d\\] \\[d^{2}b\\geq d^{3}\\] \n\nand \\(6(abc + bcd + cda + dab) > 0\\) \n\nRemark. Some students complained this problem was \"unfair\" and they couldn't solve it because they didn't think an IMO problem would be solved only by expansion. I don't agree with this. Fedor Petrov provides the following motivational comments for why the existence of this solution should not be that surprising: \n\nBetter to think about mathematics. You have to bound from above a product \\((a + 2b + 3c + 4d)(a^{2} + b^{2} + c^{2} + d^{2})\\) , the coefficients \\(1,2,3,4\\) are increasing and so play on your side, so plausibly \\((a + b + c + d)^{3}\\) should majorize this term- wise, you check it and this appears to be true.\n\n\n\nHe also gave the following advice: \n\nThe general advice is to study mathematics, not olympiad problems in past years. If the IMO problems set the students and their teachers on this path, I am more than satisfied.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2020/2, proposed by Belarus \n"}} -{"year": "2020", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "There are \\(4n\\) pebbles of weights \\(1,2,3,\\ldots ,4n\\) . Each pebble is coloured in one of \\(n\\) colours and there are four pebbles of each colour. Show that we can arrange the pebbles into two piles so the total weights of both piles are the same, and each pile contains two pebbles of each colour.", "solution": "The first key idea is the deep fact that \n\n\\[1 + 4n = 2 + (4n - 1) = 3 + (4n - 2) = \\dots .\\] \n\nSo, place all four pebbles of the same colour in a box (hence \\(n\\) boxes). For each \\(k = 1,2,\\ldots ,2n\\) we tape a piece of string between pebble \\(k\\) and \\(4n + 1 - k\\) . To solve the problem, it suffices to paint each string either blue or green such that each box has two blue strings and two green strings (where a string between two pebbles in the same box counts double). \n\n![](data:image/jpeg;base64,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)\n \n\nWe can therefore rephrase the problem as follows, if we view boxes as vertices and strings as edges:\n\n\n\nClaim — Given a 4- regular multigraph on \\(n\\) vertices (where self- loops are allowed and have degree 2), one can color the edges blue and green such that each vertex has two blue and two green edges. \n\nProof. Each connected component of the graph can be decomposed into an Eulerian circuit, since 4 is even. A connected component with \\(k\\) vertices has \\(2k\\) edges in its Eulerian circuit, so we may color the edges in this circuit alternating green and blue. This may be checked to work. \\(\\square\\)\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2020/3, proposed by Milan Haiman (HUN), Carl Schildkraut (USA) \n"}} -{"year": "2020", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "There is an integer \\(n > 1\\) . There are \\(n^2\\) stations on a slope of a mountain, all at different altitudes. Each of two cable car companies, \\(A\\) and \\(B\\) , operates \\(k\\) cable cars; each cable car provides a transfer from one of the stations to a higher one (with no intermediate stops). The \\(k\\) cable cars of \\(A\\) have \\(k\\) different starting points and \\(k\\) different finishing points, and a cable car which starts higher also finishes higher. The same conditions hold for \\(B\\) . We say that two stations are linked by a company if one can start from the lower station and reach the higher one by using one or more cars of that company (no other movements between stations are allowed). Determine the smallest positive integer \\(k\\) for which one can guarantee that there are two stations that are linked by both companies.", "solution": "Answer: \\(k = n^2 - n + 1\\) \n\nWhen \\(k = n^2 - n\\) , the construction for \\(n = 4\\) is shown below which generalizes readily. (We draw \\(A\\) in red and \\(B\\) in blue.) \n\n![](data:image/jpeg;base64,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)\n \n\nTo see this is sharp, view \\(A\\) and \\(B\\) as graphs whose connected components are paths (possibly with 0 edges; the direction of these edges is irrelevant). Now, if \\(k = n^2 - n + 1\\) it follows that \\(A\\) and \\(B\\) each have exactly \\(n - 1\\) connected components. \n\nBut in particular some component of \\(A\\) has at least \\(n + 1\\) vertices. This component has two vertices in the same component of \\(B\\) , as desired. \n\nRemark. The main foothold for this problem is the hypothesis that the number of stations should be \\(n^2\\) rather than, say, \\(n\\) . This gives a big hint towards finding the construction which in turn shows how the bound can be computed. \n\nOn the other hand, the hypothesis that \"a cable car which starts higher also finishes\n\n\n\nhigher\" appears to be superfluous.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2020/4, proposed by Tejaswi Navilarekallu (IND) \n"}} +{"year": "2020", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "There are \\(4n\\) pebbles of weights \\(1,2,3,\\ldots ,4n\\) . Each pebble is coloured in one of \\(n\\) colours and there are four pebbles of each colour. Show that we can arrange the pebbles into two piles so the total weights of both piles are the same, and each pile contains two pebbles of each colour.", "solution": "The first key idea is the deep fact that \n\n\\[1 + 4n = 2 + (4n - 1) = 3 + (4n - 2) = \\dots .\\] \n\nSo, place all four pebbles of the same colour in a box (hence \\(n\\) boxes). For each \\(k = 1,2,\\ldots ,2n\\) we tape a piece of string between pebble \\(k\\) and \\(4n + 1 - k\\) . To solve the problem, it suffices to paint each string either blue or green such that each box has two blue strings and two green strings (where a string between two pebbles in the same box counts double). \n\n![md5:1bc74fa2d44df283ddab0e7035d4390c](1bc74fa2d44df283ddab0e7035d4390c.jpeg)\n \n\nWe can therefore rephrase the problem as follows, if we view boxes as vertices and strings as edges:\n\n\n\nClaim — Given a 4- regular multigraph on \\(n\\) vertices (where self- loops are allowed and have degree 2), one can color the edges blue and green such that each vertex has two blue and two green edges. \n\nProof. Each connected component of the graph can be decomposed into an Eulerian circuit, since 4 is even. A connected component with \\(k\\) vertices has \\(2k\\) edges in its Eulerian circuit, so we may color the edges in this circuit alternating green and blue. This may be checked to work. \\(\\square\\)\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2020/3, proposed by Milan Haiman (HUN), Carl Schildkraut (USA) \n"}} +{"year": "2020", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "There is an integer \\(n > 1\\) . There are \\(n^2\\) stations on a slope of a mountain, all at different altitudes. Each of two cable car companies, \\(A\\) and \\(B\\) , operates \\(k\\) cable cars; each cable car provides a transfer from one of the stations to a higher one (with no intermediate stops). The \\(k\\) cable cars of \\(A\\) have \\(k\\) different starting points and \\(k\\) different finishing points, and a cable car which starts higher also finishes higher. The same conditions hold for \\(B\\) . We say that two stations are linked by a company if one can start from the lower station and reach the higher one by using one or more cars of that company (no other movements between stations are allowed). Determine the smallest positive integer \\(k\\) for which one can guarantee that there are two stations that are linked by both companies.", "solution": "Answer: \\(k = n^2 - n + 1\\) \n\nWhen \\(k = n^2 - n\\) , the construction for \\(n = 4\\) is shown below which generalizes readily. (We draw \\(A\\) in red and \\(B\\) in blue.) \n\n![md5:34880a6d0c65909858dad136d146732a](34880a6d0c65909858dad136d146732a.jpeg)\n \n\nTo see this is sharp, view \\(A\\) and \\(B\\) as graphs whose connected components are paths (possibly with 0 edges; the direction of these edges is irrelevant). Now, if \\(k = n^2 - n + 1\\) it follows that \\(A\\) and \\(B\\) each have exactly \\(n - 1\\) connected components. \n\nBut in particular some component of \\(A\\) has at least \\(n + 1\\) vertices. This component has two vertices in the same component of \\(B\\) , as desired. \n\nRemark. The main foothold for this problem is the hypothesis that the number of stations should be \\(n^2\\) rather than, say, \\(n\\) . This gives a big hint towards finding the construction which in turn shows how the bound can be computed. \n\nOn the other hand, the hypothesis that \"a cable car which starts higher also finishes\n\n\n\nhigher\" appears to be superfluous.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2020/4, proposed by Tejaswi Navilarekallu (IND) \n"}} {"year": "2020", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "A deck of \\(n > 1\\) cards is given. A positive integer is written on each card. The deck has the property that the arithmetic mean of the numbers on each pair of cards is also the geometric mean of the numbers on some collection of one or more cards. For which \\(n\\) does it follow that the numbers on the cards are all equal?", "solution": "The assertion is true for all \\(n\\) . \n\nSetup (boilerplate). Suppose that \\(a_{1},\\ldots ,a_{n}\\) satisfy the required properties but are not all equal. Let \\(d = \\gcd (a_{1},\\ldots ,a_{n}) > 1\\) then replace \\(a_{1},\\ldots ,a_{n}\\) by \\(\\frac{a_{1}}{d},\\ldots ,\\frac{a_{n}}{d}\\) . Hence without loss of generality we may assume \n\n\\[\\gcd (a_{1},a_{2},\\ldots ,a_{n}) = 1.\\] \n\nWLOG we also assume \n\n\\[a_{1}\\geq a_{2}\\geq \\dots \\geq a_{n}.\\] \n\nMain proof. As \\(a_{1}\\geq 2\\) , let \\(p\\) be a prime divisor of \\(a_{1}\\) . Let \\(k\\) be smallest index such that \\(p\\nmid a_{k}\\) (which must exist). In particular, note that \\(a_{1}\\neq a_{k}\\) . \n\nConsider the mean \\(x = \\frac{a_{1} + a_{k}}{2}\\) ; by assumption, it equals some geometric mean, hence \n\n\\[\\frac{n}{\\sqrt[n]{a_{i_{1}}\\cdot\\cdot\\cdot a_{i_{m}}}} = \\frac{a_{1} + a_{k}}{2} >a_{k}.\\] \n\nSince the arithmetic mean is an integer not divisible by \\(p\\) , all the indices \\(i_{1},i_{2},\\ldots ,i_{m}\\) must be at least \\(k\\) . But then the GM is at most \\(a_{k}\\) , contradiction. \n\nRemark. A similar approach could be attempted by using the smallest numbers rather than the largest ones, but one must then handle the edge case \\(a_{n} = 1\\) separately since no prime divides 1. \n\nRemark. Since \\(\\frac{27 + 9}{2} = 18 = \\sqrt[3]{27\\cdot 27\\cdot 8}\\) , it is not true that in general the AM of two largest different cards is not the GM of other numbers in the sequence (say the cards are \\(27,27,9,8,\\ldots)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2020/5, proposed by Oleg Kosik (EST) \n"}} -{"year": "2020", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Consider an integer \\(n > 1\\) , and a set \\(S\\) of \\(n\\) points in the plane such that the distance between any two different points in \\(S\\) is at least 1. Prove there is a line \\(\\ell\\) separating \\(S\\) such that the distance from any point of \\(S\\) to \\(\\ell\\) is at least \\(\\Omega (n^{-1 / 3})\\) . \n\n(A line \\(\\ell\\) separates a set of points \\(S\\) if some segment joining two points in \\(S\\) crosses \\(\\ell\\) .)", "solution": "C \n\nWe present the official solution given by the Problem Selection Committee. \n\nLet's suppose that among all projections of points in \\(S\\) onto some line \\(m\\) , the maximum possible distance between two consecutive projections is \\(\\delta\\) . We will prove that \\(\\delta \\geq \\Omega (n^{- 1 / 3})\\) , solving the problem. \n\nWe make the following the definitions: \n\n- Define \\(A\\) and \\(B\\) as the two points farthest apart in \\(S\\) . This means that all points lie in the intersections of the circles centered at \\(A\\) and \\(B\\) with radius \\(R = AB \\geq 1\\) .- We pick chord \\(\\overline{XY}\\) of \\(\\odot (B)\\) such that \\(\\overline{XY} \\perp \\overline{AB}\\) and the distance from \\(A\\) to \\(\\overline{XY}\\) is exactly \\(\\frac{1}{2}\\) .- We denote by \\(\\mathcal{T}\\) the smaller region bound by \\(\\odot (B)\\) and chord \\(\\overline{XY}\\) . \n\nThe figure is shown below with \\(\\mathcal{T}\\) drawn in yellow, and points of \\(S\\) drawn in blue. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nClaim (Length of \\(AB + \\text{Pythagorean theorem}\\) ) — We have \\(XY < 2\\sqrt{nd}\\) . \n\nProof. First, note that we have \\(R = AB < (n - 1) \\cdot \\delta\\) , since the \\(n\\) projections of points onto \\(AB\\) are spaced at most \\(\\delta\\) apart. The Pythagorean theorem gives \n\n\\[XY = 2\\sqrt{R^{2} - \\left(R - \\frac{1}{2}\\right)^{2}} = 2\\sqrt{R - \\frac{1}{4}} < 2\\sqrt{nd}.\\] \n\nClaim ( \\(|T|\\) lower bound + narrowness) — We have \\(XY > \\frac{\\sqrt{3}}{2} \\left(\\frac{1}{2}\\delta^{- 1} - 1\\right)\\) . \n\nProof. Because \\(\\mathcal{T}\\) is so narrow (has width \\(\\frac{1}{2}\\) only), the projections of points in \\(\\mathcal{T}\\) onto line \\(XY\\) are spaced at least \\(\\frac{\\sqrt{3}}{2}\\) apart (more than just \\(\\delta\\) ). This means \n\n\\[XY > \\frac{\\sqrt{3}}{2} (|T| - 1).\\] \n\nBut projections of points in \\(\\mathcal{T}\\) onto the segment of length \\(\\frac{1}{2}\\) are spaced at most \\(\\delta\\) apart, so apparently \n\n\\[|T| > \\frac{1}{2} \\cdot \\delta^{-1}.\\] \n\nThis implies the result. \n\nCombining these two this implies \\(\\delta \\geq \\Omega (n^{- 1 / 3})\\) as needed. \n\nRemark. The constant \\(1 / 3\\) in the problem is actually optimal and cannot be improved; the constructions give an example showing \\(\\Theta (n^{- 1 / 3} \\log n)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2020/6, proposed by Ting-Feng Lin, Hung-Hsun Hans Yu (TWN) \n"}} +{"year": "2020", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Consider an integer \\(n > 1\\) , and a set \\(S\\) of \\(n\\) points in the plane such that the distance between any two different points in \\(S\\) is at least 1. Prove there is a line \\(\\ell\\) separating \\(S\\) such that the distance from any point of \\(S\\) to \\(\\ell\\) is at least \\(\\Omega (n^{-1 / 3})\\) . \n\n(A line \\(\\ell\\) separates a set of points \\(S\\) if some segment joining two points in \\(S\\) crosses \\(\\ell\\) .)", "solution": "C \n\nWe present the official solution given by the Problem Selection Committee. \n\nLet's suppose that among all projections of points in \\(S\\) onto some line \\(m\\) , the maximum possible distance between two consecutive projections is \\(\\delta\\) . We will prove that \\(\\delta \\geq \\Omega (n^{- 1 / 3})\\) , solving the problem. \n\nWe make the following the definitions: \n\n- Define \\(A\\) and \\(B\\) as the two points farthest apart in \\(S\\) . This means that all points lie in the intersections of the circles centered at \\(A\\) and \\(B\\) with radius \\(R = AB \\geq 1\\) .- We pick chord \\(\\overline{XY}\\) of \\(\\odot (B)\\) such that \\(\\overline{XY} \\perp \\overline{AB}\\) and the distance from \\(A\\) to \\(\\overline{XY}\\) is exactly \\(\\frac{1}{2}\\) .- We denote by \\(\\mathcal{T}\\) the smaller region bound by \\(\\odot (B)\\) and chord \\(\\overline{XY}\\) . \n\nThe figure is shown below with \\(\\mathcal{T}\\) drawn in yellow, and points of \\(S\\) drawn in blue. \n\n![md5:53606e7fd2dda108cd7fdb9444211ecd](53606e7fd2dda108cd7fdb9444211ecd.jpeg)\n\n\n\n\nClaim (Length of \\(AB + \\text{Pythagorean theorem}\\) ) — We have \\(XY < 2\\sqrt{nd}\\) . \n\nProof. First, note that we have \\(R = AB < (n - 1) \\cdot \\delta\\) , since the \\(n\\) projections of points onto \\(AB\\) are spaced at most \\(\\delta\\) apart. The Pythagorean theorem gives \n\n\\[XY = 2\\sqrt{R^{2} - \\left(R - \\frac{1}{2}\\right)^{2}} = 2\\sqrt{R - \\frac{1}{4}} < 2\\sqrt{nd}.\\] \n\nClaim ( \\(|T|\\) lower bound + narrowness) — We have \\(XY > \\frac{\\sqrt{3}}{2} \\left(\\frac{1}{2}\\delta^{- 1} - 1\\right)\\) . \n\nProof. Because \\(\\mathcal{T}\\) is so narrow (has width \\(\\frac{1}{2}\\) only), the projections of points in \\(\\mathcal{T}\\) onto line \\(XY\\) are spaced at least \\(\\frac{\\sqrt{3}}{2}\\) apart (more than just \\(\\delta\\) ). This means \n\n\\[XY > \\frac{\\sqrt{3}}{2} (|T| - 1).\\] \n\nBut projections of points in \\(\\mathcal{T}\\) onto the segment of length \\(\\frac{1}{2}\\) are spaced at most \\(\\delta\\) apart, so apparently \n\n\\[|T| > \\frac{1}{2} \\cdot \\delta^{-1}.\\] \n\nThis implies the result. \n\nCombining these two this implies \\(\\delta \\geq \\Omega (n^{- 1 / 3})\\) as needed. \n\nRemark. The constant \\(1 / 3\\) in the problem is actually optimal and cannot be improved; the constructions give an example showing \\(\\Theta (n^{- 1 / 3} \\log n)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2020-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2020/6, proposed by Ting-Feng Lin, Hung-Hsun Hans Yu (TWN) \n"}} diff --git a/IMO/segmented/en-IMO-2021-notes.jsonl b/IMO/segmented/en-IMO-2021-notes.jsonl index fae40e253e69ce98fbd2816099cc4dfcaf70e7f5..61ac4e632c296a229ec5a746029b429c365f6ccb 100644 --- a/IMO/segmented/en-IMO-2021-notes.jsonl +++ b/IMO/segmented/en-IMO-2021-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2021", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(n \\geq 100\\) be an integer. Ivan writes the numbers \\(n, n + 1, \\ldots , 2n\\) each on different cards. He then shuffles these \\(n + 1\\) cards, and divides them into two piles. Prove that at least one of the piles contains two cards such that the sum of their numbers is a perfect square.", "solution": "We will find three cards \\(a< b< c\\) such that \n\n\\[b + c = (2k + 1)^2\\] \\[c + a = (2k)^2\\] \\[a + b = (2k - 1)^2\\] \n\nfor some integer \\(k\\) . Solving for \\(a\\) , \\(b\\) , \\(c\\) gives \n\n\\[a = \\frac{(2k)^2 + (2k - 1)^2 - (2k + 1)^2}{2} = 2k^2 -4k\\] \\[b = \\frac{(2k + 1)^2 + (2k - 1)^2 - (2k)^2}{2} = 2k^2 +1\\] \\[c = \\frac{(2k + 1)^2 + (2k)^2 - (2k - 1)^2}{2} = 2k^2 +4k\\] \n\nWe need to show that when \\(n\\geq 100\\) , one can find a suitable \\(k\\) . \n\nLet \n\n\\[I_{k}:= \\{n\\in \\mathbb{Z}\\mid n\\leq a< b< c\\leq 2n\\}\\] \\[\\qquad = \\{n\\in \\mathbb{Z}\\mid k^{2} + 2k\\leq n\\leq 2k^{2} - 4k\\}\\] \n\nbe the interval such that when \\(n\\in I_{k}\\) , the problem dies for that choice of \\(k\\) . It would be sufficient to show these intervals \\(I_{k}\\) cover all the integers \\(\\geq 100\\) . Starting from \\(I_{9} = \\{99\\leq n\\leq 126\\}\\) , we have \n\n\\[k\\geq 9\\Longrightarrow 2k^{2} - 4k\\geq (k + 1)^{2} + 2(k + 1)\\] \n\nwhich means the right endpoint of \\(I_{k}\\) exceeds the left endpoint of \\(I_{k + 1}\\) . Hence for \\(n\\geq 99\\) in fact the problem is true. \n\nRemark. The problem turns out to be false for \\(n = 98\\) , surprisingly. The counterexample is for one pile to be \n\n\\[\\{98,100,102,\\ldots ,126\\} \\cup \\{129,131,135,\\ldots ,161\\} \\cup \\{162,164,\\ldots ,196\\} .\\]", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2021/1, proposed by Australia \n"}} {"year": "2021", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Show that the inequality \n\n\\[\\sum_{i = 1}^{n}\\sum_{j = 1}^{n}\\sqrt{|x_{i} - x_{j}|}\\leq \\sum_{i = 1}^{n}\\sum_{j = 1}^{n}\\sqrt{|x_{i} + x_{j}|}\\] \n\nholds for all real numbers \\(x_{1}, x_{2}, \\ldots , x_{n}\\) .", "solution": "Sho) . \n\nThe proof is by induction on \\(n \\geq 1\\) with the base cases \\(n = 1\\) and \\(n = 2\\) being easy to verify by hand. \n\nIn the general situation, consider replacing the tuple \\((x_{i})_{i}\\) with \\((x_{i} + t)_{i}\\) for some parameter \\(t \\in \\mathbb{R}\\) . The inequality becomes \n\n\\[\\sum_{i = 1}^{n}\\sum_{j = 1}^{n}\\sqrt{|x_{i} - x_{j}|}\\leq \\sum_{i = 1}^{n}\\sum_{j = 1}^{n}\\sqrt{|x_{i} + x_{j} + 2t|}.\\] \n\nThe left- hand side is independent of \\(t\\) . \n\nClaim — The right- hand side, viewed as a function \\(F(t)\\) of \\(t\\) , is minimized when \\(2t = -(x_{i} + x_{j})\\) for some \\(i\\) and \\(j\\) . \n\nProof. Since \\(F(t)\\) is the sum of piecewise concave functions, it is hence itself piecewise concave. Moreover \\(F\\) increases without bound if \\(|t| \\to \\infty\\) . \n\nOn each of the finitely many intervals on which \\(F(t)\\) is concave, the function is minimized at its endpoints. Hence the minimum value must occur at one of the endpoints. \n\nIf \\(t = - x_{i}\\) for some \\(i\\) , this is the same as shifting all the variables so that \\(x_{i} = 0\\) . In that case, we may apply induction on \\(n - 1\\) variables, deleting the variable \\(x_{i}\\) . \n\nIf \\(t = - \\frac{x_{i} + x_{j}}{2}\\) , then notice \n\n\\[x_{i} + t = -(x_{j} + t)\\] \n\nso it's the same as shifting all the variables such that \\(x_{i} = - x_{j}\\) . In that case, we may apply induction on \\(n - 2\\) variables, after deleting \\(x_{i}\\) and \\(x_{j}\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2021/2, proposed by Calvin Deng \n"}} -{"year": "2021", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(D\\) be an interior point of the acute triangle \\(ABC\\) with \\(AB > AC\\) so that \\(\\angle DAB = \\angle CAD\\) . The point \\(E\\) on the segment \\(AC\\) satisfies \\(\\angle ADE = \\angle BCD\\) , the point \\(F\\) on the segment \\(AB\\) satisfies \\(\\angle FDA = \\angle DBC\\) , and the point \\(X\\) on the line \\(AC\\) satisfies \\(CX = BX\\) . Let \\(O_{1}\\) and \\(O_{2}\\) be the circumcenters of the triangles \\(ADC\\) and \\(EXD\\) , respectively. Prove that the lines \\(BC\\) , \\(EF\\) , and \\(O_{1}O_{2}\\) are concurrent.", "solution": "This solution was contributed by Abdullahi Kafi. \n\nClaim — Quadrilateral \\(BCEF\\) is cyclic. \n\nProof. Let \\(D'\\) be the isogonal conjugate of the point \\(D\\) . The angle condition implies quadrilateral \\(CEDD'\\) and \\(BFDD'\\) are cyclic. By power of point we have \n\n\\[AE\\cdot AC = AD\\cdot AD' = AF\\cdot AB\\] \n\nSo \\(BCEF\\) is cyclic. \n\nClaim — Line \\(ZD\\) is tangent to the circles \\((BCD)\\) and \\((DEF)\\) where \\(Z = EF\\cap BC\\) . \n\nProof. Let \\(\\angle CAD = \\angle BAD = \\alpha\\) , \\(\\angle BCD = \\beta\\) , \\(\\angle DBC = \\gamma\\) , \\(\\angle ACD = \\phi\\) , \\(\\angle ABD = \\epsilon\\) . From \\(\\triangle ABC\\) we have \\(2\\alpha + \\beta + \\gamma + \\phi + \\epsilon = 180^{\\circ}\\) . Let \\(\\ell\\) be a line tangent to \\((BCD)\\) and \\(K\\) be a point on it in the same side of \\(AD\\) as \\(C\\) and \\(L = AD\\cap BC\\) . From our labeling we have, \n\n\\[\\angle AFE = \\beta +\\phi \\qquad \\angle BFD = \\alpha +\\gamma \\qquad \\angle DFE = \\alpha +\\phi \\qquad \\angle CDL = \\alpha +\\phi\\] \n\nNow \\(\\angle CDJ = 180^{\\circ} - \\gamma - \\beta - (\\alpha +\\phi) = \\alpha +\\epsilon\\) . So \\(\\angle DFE = \\angle EDK = \\alpha +\\epsilon\\) , which means \\(\\ell\\) is also tangent to \\((DEF)\\) . Now by the radical center theorem we have \\(\\ell\\) passes through \\(Z\\) . \\(\\square\\) \n\nLet \\(M\\) be the Miquel point of the cyclic quadrilateral \\(BCEF\\) . From the Miquel configuration we have \\(A\\) , \\(M\\) , \\(Z\\) are collinear and \\((AFEM)\\) , \\((ZCEM)\\) are cyclic. \n\nClaim — Points \\(B\\) , \\(X\\) , \\(M\\) , \\(E\\) are cyclic. \n\nProof. Notice that \\(\\angle EMB = 180^{\\circ} - \\angle AMB - \\angle EMZ = 180^{\\circ} - 2\\angle ACB = \\angle EXB\\) . \\(\\square\\) \n\nLet \\(N\\) be the other intersection of circles \\((ACD)\\) and \\((DEX)\\) and let \\(R\\) be the intersection of \\(AC\\) and \\(BM\\) .\n\n\n![](data:image/jpeg;base64,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)\n \n\nClaim — Points \\(B\\) , \\(D\\) , \\(M\\) , \\(N\\) are cyclic. \n\nProof. By power of point we have \n\n\\[\\operatorname {Pow}(R,(ACD)) = RC\\cdot RA = RM\\cdot RB = RE\\cdot RX = \\operatorname {Pow}(R,(DEX)).\\] \n\nHence \\(R\\) lies on the radical axis of \\((ACD)\\) and \\((DEX)\\) , so \\(N\\) , \\(R\\) , \\(D\\) are collinear. Also \n\n\\[R N\\cdot R D = R A\\cdot R C = R M\\cdot R B\\] \n\nSo \\(BDMN\\) is cyclic. \n\nNotice that \\((ACD)\\) , \\((BDMN)\\) , \\((DEX)\\) are coaxial so their centers are collinear. Now we just need to prove the centers of \\((ACD)\\) , \\((BDMN)\\) and \\(Z\\) are collinear. To prove this, take a circle \\(\\omega\\) with radius \\(ZD\\) centered at \\(Z\\) . Notice that by power of point \n\n\\[ZC\\cdot ZB = ZD^{2} = ZE\\cdot ZF = ZM\\cdot ZA\\] \n\nwhich means inversion circle \\(\\omega\\) swaps \\((ACD)\\) and \\((BDMN)\\) . So the centers of \\((ACD)\\) and \\((BDMN)\\) must have to be collinear with the center of inversion circle, as desired.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2021/3, proposed by Mykhailo Shtandenko (UKR) \n"}} -{"year": "2021", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(\\Gamma\\) be a circle with center \\(I\\) , and \\(ABCD\\) a convex quadrilateral such that each of the segments \\(AB\\) , \\(BC\\) , \\(CD\\) and \\(DA\\) is tangent to \\(\\Gamma\\) . Let \\(\\Omega\\) be the circumcircle of the triangle \\(AIC\\) . The extension of \\(BA\\) beyond \\(A\\) meets \\(\\Omega\\) at \\(X\\) , and the extension of \\(BC\\) beyond \\(C\\) meets \\(\\Omega\\) at \\(Z\\) . The extensions of \\(AD\\) and \\(CD\\) beyond \\(D\\) meet \\(\\Omega\\) at \\(Y\\) and \\(T\\) , respectively. Prove that \n\n\\[AD + DT + TX + XA = CD + DY + YZ + ZC.\\]", "solution": "Let \\(PQR S\\) be the contact points of \\(\\Gamma\\) an \\(\\overline{AB}\\) , \\(\\overline{BC}\\) , \\(\\overline{CD}\\) , \\(\\overline{DA}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — We have \\(\\triangle IQZ \\cong \\triangle IRT\\) . Similarly, \\(\\triangle IPX \\cong \\triangle ISY\\) . \n\nProof. By considering \\((CQIR)\\) and \\((CITZ)\\) , there is a spiral similarity similarity mapping \\(\\triangle IQZ\\) to \\(\\triangle IRT\\) . Since \\(IQ = IR\\) , it is in fact a congruence. \\(\\square\\) \n\nThis congruence essentially solves the problem. First, it implies: \n\nClaim — \\(TX = YZ\\) . \n\nProof. Because we saw \\(IX = IY\\) and \\(IT = IZ\\) . \\(\\square\\)\n\n\n\nThen, we can compute \n\n\\[AD + DT + XA = AD + (RT - RD) + (XP - AP)\\] \\[\\qquad = (AD - RD - AP) + RT + XP = RT + XP\\] \n\nand \n\n\\[CD + DY + ZC = CD + (SY - SD) + (ZQ - QC)\\] \\[\\qquad = (CD - SD - QC) + SY + ZQ = SY + ZQ\\] \n\nbut \\(ZQ = RT\\) and \\(XP = SY\\) , as needed.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2021/4, proposed by Dominik Burek (POL) and Tomasz Ciesla (POL) \n"}} -{"year": "2021", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Two squirrels, Bushy and Jumpy, have collected 2021 walnuts for the winter. Jumpy numbers the walnuts from 1 through 2021, and digs 2021 little holes in a circular pattern in the ground around their favourite tree. The next morning Jumpy notices that Bushy had placed one walnut into each hole, but had paid no attention to the numbering. Unhappy, Jumpy decides to reorder the walnuts by performing a sequence of 2021 moves. In the \\(k\\) th move, Jumpy swaps the positions of the two walnuts adjacent to walnut \\(k\\) . \n\nProve that there exists a value of \\(k\\) such that, on the \\(k\\) th move, Jumpy swaps some walnuts \\(a\\) and \\(b\\) such that \\(a < k < b\\) .", "solution": "Assume for contradiction no such \\(k\\) exists. We will use a so- called \"threshold trick\". \n\nThis process takes exactly 2021 steps. Right after the \\(k\\) th move, we consider a situation where we color walnut \\(k\\) red as well, so at the \\(k\\) th step there are \\(k\\) ones. For brevity, a non- red walnut is called black. An example is illustrated below with 2021 replaced by 6. \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGMAyEDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDNGv6aeVmkYeqwSEH8dtH9vaf8A89Jf/AeT/wCJo8Pf8i/Y/wDXIVXufElra2ovpIZv7O8zy2u12lF+bbuIznbnjOP05rPmdrtnb7GDqOEIt2dt1/lu+xO3iDTUUs00iqBkkwSAAf8AfNadZniL/kWNW/685v8A0A1p1SbvZmE4w5FKKe7632t5LuFFFFUYhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUyaVLeCSaVtscal2PoAMmn0UAcfJ43aDT9I1mWzhbRtTmjhSeK43SQmQ4Quu0AjOAcHg/3utdhXC6ndaL4gv7FJtQs00fTblJIreOVd93cKcIAoP3FY8D+JsdgC3dUAFFMlmigiaWaRI40GWd2AAHuTWEfGeiyErYSz6mw4/4l1tJcLn/fQFB+JFAHQUVz/wDwkGrTf8e3hPU9vZria3jB/DzC35gUf2r4j6/8IwmPT+0Uz/6D/WgDoKK5/wD4SHVIf+PnwnqgXu8EtvKB+HmBvyFKvjPREYJe3EumuTgDUbd7YE+gZwFP4E0Ab9FNjkSWNZI3V0YZVlOQR7GlJwCQM+1AGHr/AIkTRLzSbRYDNNf3kdscHAiVs/MfyIA78+hrdrzXxRdXkR8OSXejXqXc2vW7uTJAQzBXxGuJOgHAzgHBJwTXpCMWRWKFCQCVbGR7HHFADqKKKACiiigAooooAKKKKACiiigAooooAKzde1q28P6TJqF0VEaukY3NtG52CLk9hlhk9hnrWlVe+ntLWxmuL540tol3yNJ91QOc0AY0XiOeDxVBoGqWcUM13bvcWk0ExdJNhG9CCoKsAQe4I9OldDXGaW9hqni6LXLq9t5L1omttPsopVc20X3nd8E/O20ZPQDC88k9nQAUVWvtRsdLtjc6heW9pAOsk8oRR+JNZH/CYWE3/IPtNT1H0a1sn2H6SMFQ/g1AHQUVz/8Abmty8w+E71B2+03dun/oLvR/a3iNeW8MKR6JqCE/qB/OgDoKK57/AISW8h/4/PC+swL3eNYZ1/KORm/8dqe18W6FdXC239oJb3L/AHbe8RreVvokgVj+AoA2qhvLuCwsp7y6lWK3gjaWWRuiqoySfwFTVynxLtri7+GviCG1DNKbNyAvUgcsPyBoAu2euahdTaW7aPKlpqIZlcNua3XYXVpRjCluBgE4J6mt6uEvZn0vU/Bj6TI0h1CYxXIDEi4hMJcyMO5UqpB7Zx0OK7ugAooooAKKKKACiiigAooooAKKKKACiiigDN8Pf8i/Y/8AXIVlaxpdte6c+g2ccdrp+7zL6RBtWNM7yo/2m/QHPcZ1fD3/ACL9j/1yFUH8EaBJK8j2s7M7F2zezEMScnI34rFxcoJJHowqwpYicpyas7qyvrd66tbdP6ve8Q4HhfVcdPsU2P8Avg1p1m+Iv+RY1b/rzm/9ANaVaL4mckv4MfV/kgorP1LXdJ0fYNR1G2tmf7iSyAM/+6vU/gKz/wDhLEm/5B+i61fDsUszAp+hnKAj3qjE6Ciuf/tnX5OY/CsqD/pvfQqf/HS1H9seIU5k8LOw/wCmN/Ex/wDHttAHQUVz/wDwlLQn/T/D+t2Y7t9mFwP/ACA0hq7p3iLR9WlMNjqVvLOoy0G/bKv1Q4YfiKANOsnxFql7pGlfaNP07+0btpUjjtvOEW8swB+Y8DjJ5rWrH1+WDdplpcWt3OLq8WNWtm2+Wyqz7mOQQvyHOOaAJdEvNWvrZptW0lNMfOEgF0J3x3LFRtH0BNadclpFzcQfEXWNIgZ30yOxt7gqzFhBOzOCq56BlUNt6cZ7mutoAKKKKACiiigAooooAKKKKACiiigAooooAKoS37tfS2VqsTzxRrIwkkK8HOBwD6dfcdav1n6jepbHyYpYI7uVflaQgBB/ePqB2Hc/iRMnZGtKPNK1rj9L1GPVLBLpEaMklXRuqsDgj8xV2qGjW9pa6akFnJ5kSEgyZzvbPzHPfnNX6cb2VxVlFVJKG19AorIvvFGiadcm2uNRhN0P+XaHMs3/AH7QFv0qr/wk9xN/x4+GtbuQejNFHbj8RM6N+lMzOhorn/7X8RNynhfaP+muoRg/+Og0f21rsfMvhO5cf9O95Ax/8fZKAOgorn/+Eutof+Qhpmr2Hq01k0iD6vFvUfUmtPTtX03V4jLpt/bXaKcMYJVfafQ4PB+tAF2ue8Ra5rGl39ha6RoB1driOWSQC7SAxBCgz8/DZ3/p3roaw7oWl/4qjsp7O7aS3sWlE4bbAVkcDYcHJbMYPTAHvQBp2El3LZRSX1vHb3LDLwxy+Yqeg3YGeMdqs1yvgK/vL7S9SW5kkmhtdVurW0nkYs0kCPhSWP3scrnvt9a6qgAooooAKKKKACiiigAooooAKKKKACkdFkRkdQyMMMrDII9DS1l6zrkWkJFGsMl1f3BK2tnDjfMw69eFUd2PAH4AgHA/E6LQ/AHhH+29F8LaJHqYuY47acadF+4c5bfwBgjbwfXFcR8Lfid408T+Ix4fu9Tt5DcIzrdTWqs0IUEnaF2gk/7Wce/Q+vS+DIPEEDyeL1j1KWVSFtVLC3tge0Y4Jb/pofm9No4p3hT4eeGvBcs0+jWJjuJl2PNLIZH25zgE9B9OuBnpQBah8IaY0y3Gp+dq90p3CXUGEoU+qx4Eaf8AAVFbwAVQqgADgAdqWigAooooAKR0V0KOoZSMEEZBFLRQBz8nhDTopGn0l59GuCcl7BgiMf8AaiIMbfUrn3rxD4lfFXxv4d8WS6DbajbwfYdm64hswpuNyhgSrlgBhsccZBPoB9H1yfij4beFvGF7Fe6xp5kuowF82KRo2dR/C2DyP1oAzvAV9ZfEbwXp2t69o+n3F8haJnlt0f5kJG5cj5c9cDoSa7xEWNFRFCqowFAwAPSuWXwmPD0SS+EVjsmjUK9g7H7PcgDHzdSj8f6wcn+INWxo2tW+swSFEkguoG2XNpMAJIH9GHoeoIyCOQTQBpUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVXvtPstUtHtNQtLe7tnxuhuIxIjYORlSCDyM1YrC1TXJxff2Ro0KXOqFQ0jPnybRT0eUjueyDlvYZYAHlHxe12L4b3GnW/hHRtL0m9vIpGlv7ewjVwgK/Ip245PXOe1XvhP4x8VfEPT761v9WjtvsDJ5t1BbJ58wfdgAn5FxtPOwk5HTGT2mo/DPQNesmTX45dTvZCGe+lcrKCOybeET/ZHHrk81teG/C2jeEdM/s/RbNbaAsXb5izOx7sx5NABYeFtH0+4F0toJ70f8vd2xnm/wC+3yQPYYHtWxRRQAUUUUAFQ3dna39u1veW0NxA/wB6OZA6n6g8VNRQBzp8LHT8v4e1GfTGHS3bM1qfbymPyj/cKV87al8dPG6eJJJkuLeC2hlKGxFsuxgp5DbgXBPfkfhX1XXmGreCfh/deNxe3eimR2ctdXKuwtUuNwKrIAdu5snI6dMj5quFOdR2iribsdtoFppkmnWWq2mnQ2z3FskihQCYlcBiinsOnAwOK2a5ZtPvvCg87Ro5LzSBzJpYOXgHdrcnsP8AnmeP7uOh6Cw1C01SxivbKdZreUZR1/Ig+hB4IPIIxUDLNFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZzeH9FZizaRYFickm2Tn9KT/AIR7RP8AoD6f/wCAyf4VpVzU+qXuv3UtjoMvkWcTFLnVdoYBhwUgB4Zx0LHKqePmOQJ5I9jb6xV/mf3s8z8e6+2meKJtN0zTtOtIbXbk/YYmaQlQcncp454rufDcmr+NNDg1DUdVktLV8p9m09fJeQqcEvLksMkHhNmPU1dufhx4Yu0iE1i7SISWl85/MlJ5Jds5Yk9zzXS2dpb2FnFaWsSxQRKFRFHAFc9KlUhUlJvRnr4/MMJiMFSo04NVI7v5a67u718ippmg6Vo+46fYQQSP9+VVzI/uzn5mP1JrRoorqPCCiiigAqhqmkaXqsG3U7K2uY0+YGZAdnuCfun3FX6axU/IRkMD24/GgDivEUeo+C/Dd/rOi6lNPb2cLTGwvg1yhAH8D5Ei/izAAdBXi3g/4weJ9Y8a6fp2uTQahpuo3kcD2zQIojLsFVkIGRtJB5J6evNe9waBbr4gliWKWPTvsGySzWRjayNIxBGz7vAUjGOj9KybD4O+BtOv5byHRg0j52iSZ2WPP9wZ4Poeo7EVpVhGLSi7iR2Vnp9pp8bpaW8cIdt7lRy7erHqT7mrNct9tvvCbhNUnkvdDJwl+/Mtp6Cb+8n/AE06j+L+9XUKwZQykEEZBHesxi0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAVUudK068l826sLWeTGN8sKscfUip7i4htLaS4uZUhgiUvJJIwVVUdSSegrmlF94vBZzcafoB+6gJjuL1fUnrHGfQYZu+0cFNJ7lRlKLvF2OJPjjVLW+P2IQW1lG52WiQqqBc5weM5PfFdzBoN1rNvHca9qk9ykih/sdoTbW6gjOCFO9/fcxB/uiph4J8PrdJOmnomzG2NCRGMdPl6fh0roKxownG/M7npZjisLXUPYQ5Wt/wCuvqyrYabY6Vbi30+zt7SEf8s4Iwi/kKtUUVueWFFFFABWVqXhvR9WmE93Yxm6UYW6iJimX6SKQw/A1q0UAeVfEzxD4j+HHhlLrTdT+2xXMwto2vbcPLbkqW3bxgMMKQAyk98muW+EHj7VvGviGbQ/Exj1ELbNNBcGNY5IsEBlygGQ2Rn6d69t1vQtM8R6VLpmrWiXVpLjcjZGCOhBHIPuK5rSvhT4V0K3ddKtZ7S7JDLfJOxnjYZwVY8Ac8rjae4NAHZW9vBaW8dvbQxwwRqFSONQqqB2AHQVJXPWGs3lhfxaR4g8sXEp22l9Gu2K7/2cfwSY/h6HqpPIHQ0AFFFFABRRRQAUUUUAFFFFABRRTXdI42kkYKiglmY4AA7mgDP1vWE0eyWQRNcXUziG1tUOGnlPRR6DgknoACT0qDRNFexeXUNQlW51i6A+0TgfKo6iKMH7sa9h3PJ5NVPD8ba1et4nulIWVDHpsTDHlW5/jx2aTAY+i7B2OekoAKKKKACiiigAooooAKKKKACiiigArE1vRpriaPVdKZIdYtlxGzHCXCdTDJjqp7Hqp5HcHbooAz9G1aHWdPFzEjxSKxjngk4eCQfeRh6j8iMEZBBrQrmdcU+H9THiSEYtWCxaqg6GIcLP9Uzye6E/3RXTAgjIOQaACiiigAooooAKKKKACiiigAooqjrGqQ6NpU19MrOIwAkSfeldiFRF92YgD3NAFHXNUuVuYtG0nadUuVL+Yw3LaxdDKw788Kv8R9gxF3SNItdFsRbWwdiWMks0h3STSH7zu3dj/wDWGAAKreHtJm0+1lub5kl1W9YTXkq9N2OEX/YQfKPpnqTWxQAUUUUAFFFFABRRRQAUUUUAFV0tbaKJbWOBEt9jL5KxgR4PXjGO/T3NWKaf9YvLdDxjjt/n86abAI444YkiiRUjRQqoowFA6ADsK5vU7Obw/fS67pcLyW8p3alYxjPmDvNGv/PQDqB98D+8BXTUUgIra5gvbWK6tpUlgmQPHIhyrKRkEGpa5m1H/CNeIRp/3dJ1R2e19Le55Z4/ZXGXX0IcdwK6agAooooAKKKKACiiigAooooAKKKxPEeo3NvDb6dprAapqDmK3YjIiUDLykeiDn3YqO9AFTUJ5vEmozaLZSvDp9uduo3cTFWZsZ8iNh0OCCzD7oOBycr0NtbQWdrFbW0KQwRKEjjjXCqo6ADsKg0vTbbR9NhsLRSIYhgFjlmJOSzHuxJJJ7kmrlABRRRQAUUUhIHUgdqAFpGYKCeTgZwOTSAsxBAwOQc9aFQLjucAFj1OKYBhiTk4AORjuPelChRhQAM54paKQBRRRQAjKroVZQysMEEZBFctDu8HXsVqxJ8PXLhIGJz9glJwIyf+eTHhf7pO3oRjqqhu7WC+tJrS6iWa3mQxyRuMhlIwQaAJqK5/w7c3FncXHh6/laW4slD207nLXFseFYnuykbW9wD/ABCugoAKKKKACiiigAooooAKKKKACkZgqlmICgZJPQUtc1rZOv6qvhuIn7GiCbVHB6xnOyDPq5BLf7AI/iFAEVtGfGN2moXKn+wYHDWUB6Xjg8TOO6A/cXv94/w46qkVVRQqgKoGAAMACloAKKKKACiiigAooooAKKKKACiiigCrqOnWmrWEtlewiWCUYZScEdwQRyCDggjkEZFZGj391Yaj/YGrytLPtL2V42B9rjHUN281f4h3GGHcDoazdc0hNZ04weYYLiNhLbXCjLQSr91x/IjuCQeDQBpUVl6Bqr6rpxa4iEN9buYLyAHIjlXqB6qQQynurA1qUAFFFFABRRRQAUUUUAFc54nzqdxY+G0J235aS8I7WseN4/4GSifRm9K6Oud0Afb9b1vWG5Uz/YLc+kcOQ35ymX/vkelAHQgBQAAABwAO1LRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA2SNJonilRXjdSrKwyGB6gisDws72aXfh+d2aXS3VIWY5L2zAmJvfADIT3MZPeuhrntXH9n+KdG1ReEuC+nXH0cb42P0dNo/wCupoA6GiiigAooooAKKKKACiiigArm5B/bfjJYzzZaIA7Ds926/KP+ARnP1lU9q37q5is7Sa6nbZDDG0jseygZJ/IVkeEbaWHw7BcXSbby+LXtwD1V5Tu2/wDAQQg9lFAG5RRRQAUUUUAFFFFABRRRQAUUUUAFNP8ArF+90P07f5/OnU0/6xfvdD9O3+fzpoB1FFFIDP1zSl1nSJ7IyGKRgHhmXrFKp3I491YA/hTPD+qNrGiwXcsYiufmiuYh/wAs5kJWRfwYHHqMGtOudsB/ZvjTUrEcQ6jCuoRD/pouIpcfh5J+rGgDoqKKKACiiigAooooAKKKKACub8OA6tqN94jk5SZja2PtboxG4f777mz3UJ6Va8WXc9r4enS0cpeXbJZ27DqskrBA3/Ad276Ka07Kzg0+wt7K2QJb28SxRqP4VUYA/IUAT0UUUAFFNLjkL8xBAIB6fX86ApyCx5BPTgYp2ATeXU+Xj7oKseVOaXaMknJyc89vpTgMDAoouAUUUUgCiiigAooooAKKKKAOf8Vwvb20GvWyM11pLGYqoyZIDxNH75UbgP7yLW7FLHPCk0Th45FDIynIYHkEU8gEEEZBrnvCB+y2F3orE50m6e1QH/njgPF+Ubov1U0AdDRRRQAUUUUAFFFFABRRRQBU1TUYNJ0q61C5J8m2iaRgOScDOB6k9APU1R8M6bPYaV5l8B/aV45ur0jn962PlB9FAVB7KKreIf8AiYavoui9UlnN7cD1ig2sB+MrQ/hmuioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOc1Af2N4rtNTU4tdS22N2Owl5MMn4ndGfXcnpXR1na9pn9s6De6eH8uSaIiKT/nnIOUce4YKfwo0HU/7Z0Gx1HZsa4hV3T+4+PmX8DkfhQBo0UUUAFFFFABRRXI6Ve+Lr7WZxNNoMWlrdzLGEWVrloklZACpIUE7fvZI9qAOnvbpLGwubyT/VwRNK30UEn+VZnhG0ksvCOlQzf682ySTH1lcbnP/fTGuc+KvjLRvDvhS+02+uyl7qVpLDBDGpZyGUqW9gM9T+FdR4c8Q6V4n0WHU9GuFntHyoIGCpHVSDyCPT6UAatFFFABRRRQAUVyev69q+m+MNB0a1+wmHWGnVZJYnLQ+VHvOcMA2efTHvXWDpz1oAKKpalPfwQwtp9nHdSNOiSK83lhIyfmcHByQOcd6c2o266xHpe7Ny9u9xgH7qKyrz9S3H0NAFuiqUc9+2sTwSWca6esKtFcibLO5J3KUxwAMc571doAKKwdM1e+uPF2taRci3MNnDbzwPEjKxEplBDZJBI8scjHWt6gAooooAKwfGsbN4P1KaNS0tpGLyIDqXhYSrj8UFb1YPjDxBo/hzw5c3Wt3QgtZVMIG0s0jMp+VQOpxmgDcjkSaJJYzuR1DKR3Bp1cX8NPGWk+K/C1nFY3W+8sraGK7hZSrI+wAnnqMg8j0rQtdb1J/Hk2h3UVqluunC8QxFmbJlKYJOOy56d+poA6SiiigAooooAKKo6zdS2Gh6heQBDNBbSSxhxldyqSM+2RWb4efxTLNIdfn0PbGNvl6aJGJb1ZnPy/7uD16+oAeNcy+GpLEddQnhsiPVJZVR//ABwsfwroOleZeO/iV4Y0bxJo+lXl8xltL4T3gijLiJRE+0HHfcyHAzXpFrcwXtrFdW0qTQTIHjkQ5VlIyCDQBLRRRQAUUUUAFFFFABRRRQAUUUUAFNP+sXhuh5zx2/z+dOpp/wBYvDdDznjt/n86aAdRRRSAK57xD/o2teHdQHGy8a1kP+xLGwx/38WL8q6GuM+Iev6dpem21vcT4u/tdrcxxKCW2xzo7H2GFYe9TKSiryZrRo1K01TpRbb6I6bUL2S0NskMAmluJTGql9g4VmJzg9lNRfa9W/6BcX/gX/8AY1RTVrLWzoV9p8wlge7cA4wQRDLkEdjW5OZhH/o6xs+f+WjEAe/ANSnzXaZrOHsrQlDXre61u13XYo/a9W/6BcX/AIF//Y061v7iS/NpdWiwP5XmqVl3gjOPQVF4b1KbWPD1nqFwqLLMpZggIUfMRxn6U8/8jMv/AF5n/wBDFCd0mnuVKCU505RScb7X3XzNKiiitDjCisbxDrn9jxWUMSo97f3K21srnChiCzO3+yqqzH1xjIzmn6Vc6lNeXYujazWCrG1tdwMP3pO7eNuTgKQMc859qAKmsD7V4t8O2XVYjcX7D18tBGP1nB/Cuhry21+KXhG/+J8dvFqe5fsv2OCcoRE8rSAkBvQ7VGehNdhp2rour6nDdme0aW+CW32qJ1SRQiL8jH5Tlg2ADnvitKdKU02ugm7HQllDBSQCegz1puGkX5sqrL93owPfkH+VOVQowM9SeTmlqBhRRRSAKKKKACiiigAooooAKKKKACiiigArn4v9E+IFwg4XUNOSUD/ahkKsfymjH4Cugri9d8QabY+M9Kle45tY7iG42qTsEgQgfmgqZSUdWzWlRqVny04tvyO0oqtPcP8AYjcWnlSArvDM3ylcZyMdaZpN1JfaPZ3coUSTQpIwUcZIB4p3V7E+zly8/nYuUUUUyAooooAKKrX12LO2MgTzJGISKMHBkc9B/iewyegrB0DxXFP8PbHxPrc0NrHJai4uHAIRM+nU+g9TQBNYD7V461i5PK2lrb2iezHdK/5hovyroa83+HnxA8O+Jde122srtvtl3eG5ijlQoZIlijjBGf8AczjrjnHWvSKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArn/C/+jya3po4FpqcpQf7MoWf8sysPwroCQASTgDvXFaT4j0r/AITXVQl0PKvRAsT4IVpFDK3P02AHvUuUY7s1p0KtVN04t23sdrRWZrV9c6faLPAkRXzI0Jckn5nC8D6H1rTp31sS4NRU+j/T/hwooopkBXmniC4a58BwS2NhbWHia4v45Le1t5RJIlyZwXy2Ac7d5fI4BYHivS6YIYhMZhEglIwX2jcR6ZoA8N+O/wAPNW1q9j8UaaUmhtrURXMLybWRVZjvXPGPm5Ge3fNdr8IfBN94H8JS2mpyIby6uDPJHGciLgKFz3OFz+P411niWxbU/Cur2CAl7mymiXHXLIQP51Y0i+XU9FsdQQ5S6t45gR6MoP8AWgC5RRRQAUUUUAcL4rI/4Wj8P/8ArpqH/pPT4NNs5fivq8bwRtC+k200kJUFHkMsw3kdCcDFdLd+HtEv7sXd5o+n3NyOk01sjuOMfeIz0ApToGjG8kvDpNgbmVSkkxtk3upGCC2MkEEigDzon7V8H9LubhjLPbapDHDK5yyKNQEYAPX7g2/Stm+0/S4virNeXWn27hdCa4djCrMzJMPm6csBgflXT/8ACLeHvsotf7B0v7MH3iH7HHs3euMYz71bm0vT7h7dprK3ka3GIS0YPljjhfQcDj2HpQBzUawWnxWvpVVYw+iJLKVGNxEzDcfU4AGfaubtrqSOw8IarZK8cd7qqKl3cSg3V1DKJCRKFULgjBxk4wp6ivR10fS11M6kum2YvyMG6EC+aR0xvxn9aiHh7RRA0H9k2Pks24x+Qu3O7dnGMfeAP15oAw9DmjufiL4gnibdHJpunOjYxkE3BBrrqowaLpVtfvfW+mWcV4/D3EcCrI31YDJq9QAUUUUAFebfGbwLqPjbw5a/2VIn2uxlaUQySbFlUrgjPTdwMZwOvNek1k+J7w6f4U1e8GS0NnK6gdSwQ4H4nAoA8q+A/gDVPD6z+I9SKRLqFoi20KsGJjba+9sdO3HXrnFdfHrGmN8ZZVGo2hJ0SOEATLzJ9ob5Ov3uRx15rsdLs/7P0iyshj/R4Ei4/wBlQP6VboAKKKKACiiigDL8STy2/h2/khsUvm8oqbZ5PLWRTw2WwcDBJPHaucvTG3xB8Lronk7UguDf/ZsbRblB5YfHbzNu36NjvXb0yOGKEMIokj3Hc21QMn1oA+Z/iN8IvEcvj6W609Yrm11q9cwO84UpIytIUbPTAV8YyMADrxX0B4Q0FvDHhLTNFecTvaQhGkAwGbqce2TUXiwiG20u9PS11S2Yn0Dv5JP5SmugoAKKKKACiiigAooooAKKKKACiiigAppH7xThuh5zx27f5706mkfvFOG6HnPHbt/nvTQDqKKKQBXlHxV8JX17fRa3asskRWK2eNnwysz7VxnjBLgfXmvV65/xZ++i0ixHW61W2wPXym88/pCazq0o1Y8sjswGOq4Gsq1K1/PYwvCPhq58MafpFreOpuJtQkmdUOQmbdxjPf7v613M9xDaxGW4mjijHV5GCgfiaztYcw3Ol3BimeOK5Zn8mJpCoMUgzhQTjJA/Gn/25af88dQ/8F1x/wDEVMFGmuVGmKqVsXNV5K7e9l5sy/ANzBN4OsI4po3eNDvVWBK/M3Udq1D/AMjMv/Xmf/QxR/blp/zx1D/wXXH/AMRUNrcC91/z4oblYltShaa3kiGdwOBvUZ/CnGyio3uFXnnVqVnFxTu9fPzsjYooorU884nx1YCXXPCWpTjNhZaiwuSfuqJI2VWb/Z3bQc/3qbZ28mpeOfFVvbSsukXFhDDNJEeBdEOGKkfxBCmcf7Oa7dlDKVYAqRgg96SOKOGMRxIqIvRVGAPwoA+U7D4H+Jj41XRblraOCMLPJeJIGUw7iNyr1JyCMEDn25r6tIDDBAI681gXf+j+PtLkPC3Wn3MJPqyvE6j8jJ+VdBQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeT+I/Cd/8A8JSIoCkn9oyySQkvyMfMwbPpmvWK5+5/0jx/pyD7tpp1xI/s0kkSp+iSVnUpRqK0jtwWOq4OblStr3LUUEWi+GktZ7hAIYPL3sdoY4PTNHhmaKXw5p6xyI5S2jVwrA7TtHB9K1qKpRs9DGVbmg1Jat3v9/T5hRRRVGAUUUUAYOsT3lhdPqciaebK3iwjXV4YRGx+8T+7YZPABz6+prz3StCn8d/AC10K1ubSO4W3iERS4LDcjBtsoC/KeOnOODXsFFAHzh8Jvhf4g0zxm+t6jDHCmjySx+Ssqs003l4CjBwBhwcn2/D3bRNUvtYgtr2S2gtLSeHzUiaTfM2cdcYC4zyPm69qr6H+48TeJrU/x3EN2o9FeFE/9Chb9a2bSzis7NbWLd5a5AyeeST1/GtIyioNNa/8PcRYopp3L23LwAB168nJP+cUoZWJAIODg4PQ1mMWiiigAooooAKKKKACiiigAooooAKKKKAIbqAXVnPblioljZCw6jIxmvJ9P8GahJ4lk06Rol+y+XLNIrZARi20j1J2Nx+devVz+hfv/EXiW7/hF1FbKfUJChP/AI9Iw/CsqlGNRpy6Hdg8xrYSMo0re8P8V3EEWkhJJo0czwsFZgCQJVJOPwNbcckc0YkidXQ9GU5B/GnUVaWtzmlUTpqFtm399v8AIKKKKoyCiiigArnvBxFvpVxpJ4fS7uW0x6R53xf+Qnjroa5y4P8AZHjWC4PFrrEX2aQ9luIwWjP/AAJN4/4Ao70AdHRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVz3iv/So9M0gfe1C+iDgf88oz5z59iI9v/AxXQ1zmn/8AE28YX2o9bbTYzYW57GRiHnYfTEafVHFAHR0UUUAFFFFABRRRQAUUUUAZniLTX1fw5qNhGds08DrE392TGUb8GwfwqXRdSTWNEsdSjG1bmBJdp6qSMlT7g5H4VernNAP9ma1quhPwgkN/Z+8UrEuo/wB2Xf8AQOlAHR0UUUAFFFFABRRRQAUUUUAFFFFABTSP3inDdDznjt2/z3p1NI/eKcN0POeO3b/PemgHUUUUgCueuf8AT/HllAOY9Ms3uZPaSU+XH/46s35it93SKNpJGCooLMzHAAHc1geEke5s7rXJlKy6tN9oRWGCkAAWFfb5AGI9XagDoaKKKACiiigAooooAKKKKAOe8W/6LBpur9Bpt9HLIfSJ8xSE+wWQt/wGuhqC+s4NRsLiyuU3wXETRSL6qwwR+RrK8KXs11ootrxy2oae5s7snq0iYAf/AIGpVx7OKANyiiigAooooAKKKKACiiigAooooAKKKKACiiigArntBJvvEGv6p1TzksIT6pCDu/8AIsko/wCA1f17VP7H0W5vVj82ZVCQRf8APWViFjT8WKj8aXQtM/sbQ7SwMnmyRJ+9l/56SE7nf/gTFj+NAGjRRRQAUUUUAFFFFABRRRQBz13/AKB470+5PEWpWj2bH1kjJljH/fJn/KuhrF8U2Nxe6I8lku6/s3S7tR/ekjO4L/wIZQ+zGtHTr+31TTba/tX329zEssZ9iMjPvQBZpCoJB54OeDj/APXS0UAM3FB+8xgAln6KP1/zin0U0qcllOGOM5yRgH0z9aYDqKbvAOG+Uk4XJHzcZ4/X8qdSAKKKKACiiigAooooAKKKKAGTTR28Ek8zhIo1Lux6KAMk1ieDYpV8MW1zOhSe+aS+kU9VMzmQKf8AdDBfwqPxYTe21r4fjJ8zVpPKlx/DbLzMfoV+T6yLXQgAAADAHQCgBaKKKACiiigAooooAKztc0pdZ0iayMhikOHhmUZMMqkMjj3DAH8K0aKAMrw/qzatpu+4jEN9A5gvIAc+VMv3gPY8MD3Vge9atc5rVtcaTqP/AAkWnxPKAgj1G1jGWniHR1HeRMnj+JSR1243bW6t760hu7WZJreZA8ciHKsp6EGgCaiiigAooooAKKKKACiiigAooooAKKKr399a6ZYzXt7MsNtCpeR26Af1Pt3oAz/EeqzabYJFZKsmp3j/AGeyjboZCD8x/wBlQCx9lPcirWj6ZDo2k2+nwMzLCuC7fekYnLO3uzEk+5NZuh2d1e3z+IdUhaK4lTy7O1frawE5wf8Apo5ALemFX+HJ6CgAooooAKKKKACiiigAooooAKwfEtncCO21nT4mlv8ATWMixL1niIxLF9SACP8AaVa3qKAILK9t9RsYL20lWW3nQSRuvRlIyDU9csW/4RHVmLnboF/Lu3fw2Vwx5z6RyE5z/C59G46mgAooooAKKKKACiiigAooooAKaR+8U4boec8du3+e9OppH7xTg9DzngdO1NAOoorM1vWY9HtEYRNcXc7+VaWqHDTyHoo9B1JPQAEnpSAzvEbnWL2DwxASVuF87UWH/LO1Bxt+shGz/d3ntXRgBVCqAABgAdqytB0iTTLaWW7lW41K7fzrydRgM+MBV9EUAKo9B6kmtagAooooAKKKKACiiigAooooAK5rVT/YHiCLWxxYXgS11D0jbOIpj7Akox9GU9FrpaiubaC8tZbW5iWWCZDHJG4yGUjBBHpigCWiuc0W7m0i+Xw7qcrSMATp11IebmIfwMe8iDr/AHhhv72OjoAKKKKACiiigAooooAKKKKACiiigAoorB13U7lrhND0hwNUuU3NLjcLOHODKw9eoVf4m9g2ACAH/hIfFQYfNpuiuRntNdkYP1Eakj/ef1SulqppmnW2k6bBYWilYIV2ruOST1LE9yTkk9ySat0AFFFFABRRRQAUUUUAFFFFABXNaYf7A8QzaNJ8tjfu91p7dlc/NND+eZFHozdlrpaz9a0mPWdOa2aRoZVYS29wg+aCVeVdfcHt3GQeCaANCisfQdYkv0ms7+NYNWs8LdQr0OfuyJnqjYJB7cg8g1sUAFFFFABTMFB8uWUA/L1YntyT9afRQAgZSxXI3AAkZ5FLSMoYYOeoPBxSZYHkbgT1AxtGO/P+c0wHUUisrqGUgg9CKWkAUUUUAFNd0ijaSRlRFBZmY4AA6kmnVy+oOfFWpSaLbnOk2z41OYdJmHP2ZT3HTefT5epOACXw6rare3HiaZGVbpBDYIwwUtQchsdjIfn+mwHpXR0gAAAAwB0ApaACiiigAooooAKKKKACiiigArmLizuvC91Nf6Vbvc6XM5ku9PiGXiY8mWEd89WTv1XnIbp6KAK9jf2up2UV5ZXCT28oykiHIP8A9f27VYry34vSXvhDwzc+IfDc09jeXE6RXZgx5bKwI8xlIID5CjeMHkZJ4x558FfiHrkvjNNI1nWpbqxu42AN9OXKOBldrMeCemO9AH0rRRRQAUUUUAFFFFABRRXzD8YPiN4gHju50/R9bntdPstgi+w3G0OxUFizIeeSRgnjHTOaAPpTUdSs9JsZL2+nWGCPqzdyegA6kk8ADknpWJZ2F34gvodV1mBre0gYSWOnP1Vu0sw6b/7q9F68t93m/hR9q8T+F7DxN4hlmvdRUvHbtOMJEqnbvRQANxwcvyTyM44r0mgAooooAKKKKACiiigAooooAKKKKACiiigCO4t4bu2lt7iJJYJVKSRuMqykYII7iuZiuZ/BzLa38kk+gk7be+clms/SOY907CTt0b+8eqpGVXUqyhlIwQRkEUACsGUMpBBGQR3pa+f/AI1anrHgb+z9M8OahfadpV8ryGOKTCxspGVib7yLyCVBxyMAc1t/AXxvqfiGx1LTNb1EXU9qyNbPPJmaRW3bhknLBcDntu+lAHstFFFABRRRQAUUUUAFc/Jc65Dfppq26zySqzRalsxFGgIyJEB5fkYAwG6/Lg1uTTxW0LzTypFEg3O8jBVUepJ6V8gav8VvGNx4ruNSg1y7gVJz5NtFL+5VA3yqUHysMcZOc1pTqKF7pP8Ar+vJiaPq3VNah0S2gjlMl5fzfJb20QHm3Lgc4HQDuWOFXuRUOj6NcJePrGsOk2rSpsAjJMdrGTny48/Qbm6sR2AAEfhXSkt9Nt9UuhLLq97bxvd3FxzJkgEp0GxQScKAAPTOTXQVmMKKKKACiiigAooooAKKKKACiiigAooooAo6vpNrrVgbS6DgBg8csbbZIZByro3Zgeh/pWZp2s3Nlex6Nr5Vbx/ltbxV2xXoHp/dkx1T6lcjOOhqtf2FpqllJZ31uk9vIMNG4yD6H2IPII5BoAs0V8sfFLxd4s0HxrcaFa6/qsFjYbPs37/a7KyBss64L9SAWJOBzzmvcPhT4puPFfgOyvL+5hm1GPdFcbCN3DEKzDsSoB985oA7eiiigAooooAKKKKACiue8c6+3hnwZqmpxSRJdRW7fZxKyjMmPlwD1Oecd8Yr5o8FePvGmoeONPs28Q6nKupXaQTrv37UdgGZFYFVIGSCBxj0oA+m9W12WO8/sjR4kutXZQxVifKtVPSSUjoPRfvN24yRa0XRYtHt5P3r3F3cP5t1dy/fnfGMn0AHAUcAAAVNpek2Wj2n2axh8tCxd2JLPI56s7HlmPckk1doAKKKKACiiigAooooAKKKKACiiigAooooAx9b0RtQeG+spxaatag/Z7nbkEHrHIP4kbAyPYEYIBo0bXV1GWSxu4DZarbjM9o7Z46b0b+OM9mH0IByK2KztX0Wz1mKMXAkSeFt9vcwtslhb1Ru3uOh6EEUAaNFfOU/jfxTFrBnl1a6E8L7WiJ2p8p6FBhfrxX0DpOow6rpVtfQTRSpNGr7onDLkjkAiuejiI1m0lsetmeT1cvjCVSSfN2/rzLlFFFdB5IUUUUANZSclTh8EAnJA/DvQXCk7vlXgBieCTxj/PrTqgu4p5rdo7e5+zyMR+9CBiozzgHjOOhOR7GmtXZgMsr0XjXShNht5zCwJznABz+IINWq8h+LWs3HgLwtM2ianOuq6rdJ58ss4aVVCEF1X+HO1VyoAHHQ4rifg3r3iHxbr9x4f1jWdTu9JNuZ5laZix2kAIZD8wU7uQCM4HbINVOTm9zYSPbrrU7nxDcy6ZoUzRWsbFLzVE6J6xwno0nYt0T3bit3T9PtdKsIbGyhWG3hXaiDt7k9SSeSTySc1Jb28FpbR29tDHDBEoVI41CqoHQADoKlqBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFR3DTLbStborzhCY0Y4DNjgE9hmgDgNTm1zyvD9hqBt77UdRvRDqml4Sa3+zHcXfBUFQo2kE9yAd2a6bTPBfhnR7S4tbDQ7GKC5AWdPJDCUDoGznI56GuS12TVNZ07w69laCDxUL6B7lreJ1Fugz5u9mAPl44wT83GM16VQBzo8MS6fzoOr3WnqOltL/pNv8A98Odyj2RlFKL7xTZjFzo9lqCj+OwuvLc/wDbOUAD/v4a6GigDn/+Eq8vi60DXbc9x9j879Yi4o/4THT/APnx1zPp/Yt3/wDG66CigDn/APhKmk4tPD2u3J7D7KIf1mZKQ3niq9GLfS7DTlP/AC0vbkzOP+2cYwf+/ldDRQBzp8Km/wCde1S61Md7biC2+nlp94ezs9S6n4K8M6ylsmoaFYzrbDbCDCBsX+6Mfw+3St2igDz7TNbl1fQ3uNH1G20xPtP2XTLdowLdI45PLG/A+84VsLkcFcDufQa8mXRLnT/hNf8AguG1mOsefLDAqxtiTdOXjmDYxtClSWzxtx1GK9WiVkhRXfe4UBm9T60APooooAKKKKACiiigAooooAKKKKACiiigArP1w6oNFuf7FWFtR2gQiZtq5yM84ODjOOCM44rQrL8Q3ep2WkNPpFrFc3SyRgxy7sbC4DnCgkkLk4HPHQ9KAOVubOPxB4zl8P38UetaElgJ7hrlFf7Nc78KFdQMMy5JXqAAeAcHpF8I+Hk0mPS00ezSyjYvHEkQXYx/iUjkN/tA5rn4oprj4n2N5ocTRaUtjIupyLGUilYn90vQBnByc9QODjOK7qgDnf7D1jTh/wASjXZHiHS21RPtCj2EgKyD6szfSnf2t4htOLzw39pA6vpt4j599svl4+mT+NdBRQBz/wDwlsKcXGj67CfT+zZJf1jDCj/hMLA/dsNcY+n9i3Q/nGK6CigDn/8AhJbqbiz8M6zPn+KRIoFH18x1P5A0hPiy+4CaXpMZ/iLPdy/lhFU/iwroaKAMCHwlYvOlzqs1xrFyh3K18wZEPqsSgRqfcLn3p1z4L8M3etLrFxodjJqCkMJ2iGdwOQx7E+55rdqrqVtNeafNbQTrBJIAPMZCwxkZGAQeRkcEEZzQBzlrrt7efEeOxVwulNpUs8SgcysJo18zPpyQPbnnIx1teeR/2tF8V7V5FJtY9La1NxFo86w5MyHyw24qDhc7s7R6V6HQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVla0NUY2S6e8UUBn/02VnCskO05KZBGc7fwz06jVrG1q+vbO+01UtYZNLlaRb+WQMxiG35MBQep6k8DHuKAOV0vRNP8ZatrJ17TLbVrCwuxFpl/cQrvkXYDIu5QN6q5IB789SK6u98L6PeiEmzWCa3QRwT2pMEsSjoqumCF/wBnp7VheD7e8Txb4nuYI5IfD00kP2GNkKK0gT968anGFJxz0Y8iu1oA57+z/Eun8WWrW+oxDpFqUWyTHp5sYA/NCfel/t3WLbi98LXjesljcRTp/wCPMj/+O10FFAHP/wDCX2i8S6ZrsZ9P7JuH/VEIo/4S+yb/AFena659P7HuV/8AQkAroKKAOf8A+Eg1S44svC2pH0ku5IYE/wDQy/8A47SG18U6gcXF/Y6TEeq2KG4l/CSQBR/37NdDRQBjWHhfS7G4+1tE95ekFTd3rmaXB6gFvug+i4HtVe08KeFvDd3PrNno1laXGGZpooRuGeoUDpnpgdc10NZ2q2d1dG3e2uYYhA5kZJbdpVcgfLwGU8dR15weoFAGR4Q1XUtSvvEaaiQGtdREUUS4xEnkRNtz3OWOT3Oe1dRXB+BH1L/hIPEzXsc0cdzfmaMyaZPbiUCKJA6s5wB8pG3k8Zziu8oAKKKKACiiigAooooAKKKKACiiigAqjrFxLaaRczwttkRMqcZwavVm+IP+QBef9c/6ipl8LNaCTqxT7oPsGof9BiX/AL8R/wCFH2DUP+gxL/34j/wq5eRzy2U8dtMIbh42WOUrkIxHBx3wa5uE3CeKtMtbS6dxDbyHU8uxVzgBCAxPO7JyOg4J6VMrR/4c6KPNUTd0rJv4V0V+3XZeYy58MWdvrllqc6QXNzJcBWZ7aMEnDENwOuQOetaN34V06e6e8tDPpl85y9zYP5TOfV1wUk/4Gpq3qv8ArtN/6+1/9AetGnCKi3YjEVp1Ywc3fT9TnhH4ssDhJtN1eIdPODWsv4sodWP/AAFRR/wkd/Bxe+F9Wi9XgMM6fhtfd+aiuhoqzlOf/wCEwsR9/T9dU+n9jXTf+gxkUf8ACXWz/wCo0rXZT6f2XNH+rqoroKKAOf8A7a1264svC80Wej6jdxQr+UZkb8wKb/ZOv6iP+Jnri2kR6waXFsJHoZX3MfqoQ10VFAGPD4U0KCxuLP8Asu3liuRi4M6+a8/++z5Zz7kmuaig0Xwx4nh8NaBaQ6Sktr9tvJraENLIobZHGuQSSTvJODgKcYzkd7XHXlh/ZvxQj8RTxt9juNINiZgpYRSLLvAbHQMCcHplcdSMgG54fe6l01pLm/t75XmkME0HIMO47AT3YDg+4rVrlfAtjeWlprVxdJJFFf6vc3drFIpVlhYjBKnldxDNg8/NzzXVUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWb4g/wCQBef9c/6itKqeq2sl7pVzbQlBJImF3kgZ9yAamWsWa0Go1Yt90Lqi3r6ZcLp0iR3hQ+U7rkBvoaxL2zvtV1/QrhIZYFsGeS4nkAUtlcbFAJzk9e2B1rU8/W/+gfp//gc//wAZo8/W/wDoH6f/AOBz/wDxmolaW9zooupSXuqN9eq6qz69thdV/wBdpv8A19r/AOgPWjWRJFqt3c2huLWyhihmErNHdM7HCkYAMY9fWterju2YVVaMY/8AB6+QUUUVRiFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWVFq11cK0lvpcskQdkD+agztYqeCfUGtWs3Qf+QUP+u8/wD6Nepd72NqfKoOTV9V38+1uwfb9Q/6A8v/AH/j/wAaZLqd9DE8r6PMERSzHzo+g/GqgufEE+sTxQyaVHYrLsQyBzNgAZ+UEA9eua19R/5Bl3/1xf8A9BNSm2nqzeUYwlFOMdezf+ZNDIJoI5VBAdQwB9xT6r2H/IPtv+uS/wAhVirWxySVpNBRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKr3/2v7DL9hCG5x8m84HX6HtmrFVNRmuoLMyWcSSyhl+Vs425GTxycDNJ7F01eat+OxSt7m5/4SJrSOVp7RbbfIzYPlybuBkDuMnH8q2KwFV5PFUE1gpW0FuwumClUc5+Ue7Dn6Ct/pUw6m2JSTjbsv6f9bWCisGbxfpIne3smm1S5Q7Wi06Iz7T6Mw+RD/vMKYNR8T3gzbaDa2SH+LUL0bx/wCJXB/77FWcx0NFc/wDZPFsvLaxo8A/ux6bI5H/AjMP5Uf2f4qHK+IdPJ/29KYj9JhQB0FFc/jxhb87tDvsdtstrn8cy4pP+EkvbP/kLeHdQt0HWe0xdx/kn7z/xygDoap6tNJbaNfTxNtkjt5HRsdCFJBpumazpusxNJp19BchDhxG4LIfRl6qfY4pNbN8NEvTpiQve+U3krMpZGbHQgEZ+maAMHwsuordBdS8ZLrEhi3x26WkUAK8Zc4yXxnGQQOeldbXFakJ9b8V+Fn05XI06SWe9nETRoiGIp5fzDqzEfL1AXJ7V2tABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVS+F2TALdlWMyfv2LYITB6cHnOKt1Svp54bi2AiRrRywuHYElRjjAHv68UpbGlJNy0/r+uhW0e6ubi41BHcy2sUwW3mIGXGBuHHUA8ZrWrD0aOcaxqssasmnOyeQpGAW2/OyjsCfzrYnnhtoXmnlSKJBl3kYKqj1JPSphsaYpJVNOy/Jfj38ySiud/4TC0uuNGsr/WD2eziAhP0mcrGfwY04XPiy65j03SrBD0NxdPM/4qigD8HNWc50FFc/9h8WPy+vaVH7RaU/82nP8qPsHitOU1/TH9pdKc/ynFAHQUVz/neLrblrTR79R18ueS2b8AVcH8WH1pv/AAliWn/IZ0nUtLA6yyRCaH6mSIsFHu22gDoqzdB/5BQ/67z/APo16t2d7a6hapc2VzDc27jKywuHVvoRxWRpep29lZtb3CXSyLPMSBaysOZGI5C4PBFQ2lJXOinCU6UlFXd1+pna1NFL4Z1pntYbfUGkkSFI33SvKDiJhwCGOFIHpzXQT+d/YEn2nHn/AGU+Zjpu28/rUR1nTjIJDHclwMBvsMuQPrsqK91m0lsLiNFuy7xMqj7HNySD/s1Csru50y9pNRiqbVnfr5aemho2H/IPtv8Arkv8hVioLJSthbqwIYRKCD24qetVscE/iYUUUUyQooooAKKKKACiiigAooooAKz7trhbp2luFt7BYc+YrAN5mTnOQeMY/wDr1oVmz3BF7PDfQRfYvLUxsULF253AjGPw61MtjWinfa/9dPMdodxeXWi2s9+my5dcuNu3ucEjsSMHHvWhWR4ZivIdEiS9Dh9zFFkPzKmflB98Vc1DVLDSbY3Oo3kFpDnG+aQICfQZ6n2oh8KHiUlWkla13tt8i3RXO/8ACUTXf/IH0LU75T0mkjFtF9cylWI91U07d4vuORFolgD0DPLdEfXAj/z3qjE6Ciuf/s/xU3LeIdNX2j0pgP1mNH2PxbHymt6RL/sy6XIufxE/9KAOgornje+KrTmbRtPvkHezvDHIf+ASKF/8fpV8Y6bC6x6rHdaPIxAA1GLy0J9BKCYyfYNQB0FZGrtdm8tY7XUhZApIzZhEm/BTAwfqelaysroHRgysMgg5BFUpp5YNSDS7FtPJ+VthLb88jI6DGOO5+lTLY2oNqd0r7+f5pk9nzaRn7T9pyM+dx8/vxxU9ZPh+CeG0uXmVkWe7lmijYYKIzZAI7dzj3rWoi7oVaKjUaTuFFFFUZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFczNf3niS6lsdHna206JjHdakn3nYcGODtkdC/RegyclQDnfiLrLPcxadaXYKRDNykT/dY/dD46cDIB+vpTfBek/8ACQ2M66y11c6fAwENvJKwhcnO7co++Bxw2Rz0rqbuzh0rSf7E0PTI2mlUmNZYy0KseskrnOTnk5JZj+JGhpF00tubaezNpcwACWNUIjye8bYwynBPqO4B4qfqs1L219O39dP1PTeYweCWE5Ne/wA7/f09C7BBDawJBbxRxRIMLHGoVVHoAOlSUUVR5gUUUUAFFFFAGXqfh3S9XlWe5ttt2gxHdwMYp0+ki4YD2zg9xXx7ret+K4vG9xJdajqH9s29yYlPmMXVlbhVAxxnoAMH05r7WqpJpenzXyX0ljbPdoAFnaFTIoHQBsZFAFbw3qY1jw7YXpmjllkgTzzGRhZcDepA6ENkEdq1KwdR0GWO9fV9DkS11Nv9cjZEN4B2lA744Dj5h7j5Tb0bWodYgkxE9vd27eXdWkuPMgf0PqD1DDgjkUAadFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFHSori4htLaW5uZUhgiUvJI7YVVHJJPYVzawXXjEebeLLaaAeY7Q5SW9H96XusZ7J1I+9x8tAHC+L9bl1LXpWtr0y2UR2wNC5KHAwxU9Cc5BI9Mdq6XRbXR306y1LxTdJNfMN1vHqM+5UUHCmOJjjJx97BY5612xsLNooomtIDHCAIkMYwgHAwO34VVutO8zXNOv44o91uksTOQMhHAOB+KrUYejFVXKb0d/6/Q9PFZhGthadCMLOPX+u+7LtvMlzbxzRq6o65USIUbHupAI+hqWmZaNfmyyqvLdWJ+gH8vyp9aPfQ8wKKKKQBRRRQBynifw9BDpuoavo8L2erpE0gls3MRlIGcOo4k4/vAn0xXjXhXXtQsPFdpePfTCNp1N48jlh5RI3s+ewGTk9MZr6QqvFY2cE0k0VrBHLJ990jAZvqe9c1ag6k4yTtY9rLs1hg8PVoypqTn1+XXy6k0ciSxrJG6vG4DKynIIPQg06uYm0u68MSPeaDC0+nkl7jSVPT1e3/ut3Kfdbtg9d7T9QtdVsIr2ymWa3lGVcfqCOoIPBB5BGDXSeKWaKKKACiiigAooooAKKKKACiiigAooooAKhu7u3sbSW6u544LeJdzyysFVR6knpVfVtWtdGsTdXRcgsEjijXdJM5+6iL3Y+n49AayrPRbnVbqLVPESo0kbB7XTlbdDanszdpJf9rov8PckA8tm1bVLnV/tguLj7W7gpgtkZOQAD29q9Z0jw1YWLR30sDXGqMg8y7u3MsoJHIDH7oz/AArge1azWtu1wLhreIzAYEhQbh+PWpqwo0nTbu73PTzDMI4uMFGHLy/19wUUUVueYFFFFABTXRZEZHUMjDBVhkEU6igDgPF+iJoGktd6D59jHJJtuILaUrCVOefL+6pzjJXGc85rI8A6y9nrH2a6vPLtJx5aiVsKZf4VBPAYgNgd8V2Wo/2xayW91c6nbyWcM6i6ggs9gaNsrlizscKSGOMcA5rZl0rT57CWxksbdrSUbZITGNjD3FTVwrU41FK68r/rY9OjmMYYOWGcNX1/rt0LdFct5114PZVuppbvw+ThbmVi0tj6CQ9Xi/2zyv8AFkfMOoBDKGUggjII71R5gtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVk+IdVl0vTlFoiy6jdSC2s4m6NK2eT/sqAzt7KaAKGqzz69qcmgWErxWsIB1O6jOGUEZECEdHYck9VUjuwI6C2toLO1itraJIYIkCRxoMKqjgAD0qpoukxaLpcdnE7SsCXlmf780jHLu3uSSf06VoUANkXdGy7VbII2t0PsadTZBujZdqtkEbW6H2NOpgFFFFIAooooAKKKKACiiigArD1zSbiWePV9J2pq9su1QxwlzH1MMnsex/hPPTIO5RQBR0jVbfWdNjvbcOobKvHIMPE4OGRh2ZSCCPar1czfj/hHfEMeqx/Lp2pSJBfqOkcxwsU3tniNvqh7GumoAKKKKACiiigAooooAKKKKACiiuc8Ryy6nd2/hq1dka7Qy3sqHBitQcEA9mc/IPbeR92gCCBf+Ew1AXUvOgWkv8Ao0fa9lU/61vWNSPlHRiN3QLXVUyGGK3gjghjWOKNQiIgwFUDAAHYU+gAooooAKaUHJX5SSCSAOfr/KnUUANDEYDDBJOMZI/PtTqKZsKLiMABVwqdF9u3FMB9FIGBLDng45GKWkAUUUUAFcxqcEnhq/l16xRmsJTu1S1QZ/7eEH94D7wH3lGeoGeno60AMiljnhSWJ1kjdQyOpyGB5BB7in1zOjj/AIR7Wn8PtxYXCtcaYeyAH95B/wABJDKP7rEDhK6agAooooAKKKKACiiigAooooAKr399baZYT315KIreBC8jnsB/P6VYrmZR/wAJJ4mMB50vR5FaQdp7vAKj3WMEN/vMvdKAJNF0+5v70eINYiKXbKVs7R/+XKI9v+ujDG49vujgZPRUUUAFFFFABRRRQAUUUUAFIzbVzgn6ClpuMvkgjb0OeD+FACqCqgFix9TS0UUAIyq6lWAZSMEEZBFcvabvCWpQ6a5J0K7fZZOT/wAekp6Qk/3G/g9D8vda6mquo6fbarp09heR+ZbzoUdc4OPUHsR1B7EZoAtUVh+HL65eO40rUZPM1LTmEcshGDPGRmOb/gQHPoysO1blABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzlgP7Y8X3uotzbaWDY2o7GUgNM//AKAg9Nr+ta+rahHpGj3upTDMdpA87Adwqk4/Sq3hrTpNK8O2VrOd1yI/MuW/vTOS8jfi7MfxoA1aKKKAGyDdGy7VbII2t0PsadTZBuicbVbII2t0PsfanU+gBRRRSAKKKKACiiigAooooAKKKKAK2oWNvqenXNhdJvt7iNopF9VIwazvC19cXekG3vX36hYStZ3THqzpjD/8DUq//A62q55P+Jf49kUcRatZeZ7edAQp/FkkX8I6AOhooooAKKKKACiiigAooooAa7rHGzuwVFBLMTgADvXP+Eo3urS41+dSJ9XcToGGCluBiFPb5PmI/vO1O8Ys0uiLpiMRJqtxHY5HXY5/eke4iEh/Ct9EWNFRFCqowABgAUALRRRQAUUUUAFFFFABRRRQAhUMMMAcHPI70gDKQM7hkkknkU6igBFYMoIyMjOCMH8qWmsgbdj5WIxuHWjcRnI4yAMc/nTAdRQCD0OaKQGN4n0+e90gy2Sg6jZOLuz7ZlTPy57BwWQ+zmr+m38Gq6Za6hasWguYlljJ64YZGferVc74Y/0K51nRjwtneNLAP+mM370fgHaRR7LQB0VFFFABRRRQAUUUUAFFFFAGZ4g1Q6PodzexxiSdQEgiP/LSZyFjX8XZR+NO0LSho2jW9j5hlkQFppiOZZWJZ3PuzEn8aztW/wCJh4t0XTesVssmozDsSoEcYP8AwKRmHvHXRUAFFFFABRRRQAUUUUAFFFFADWbBCgrvPIBPUd6VVVFCqAqjoAMAUiEsN2ThuQCuCKdT8gCiiikAUUUUAc54hA0rVNO8QrwkTizvfeCRgAx/3JNpz2Uv610dVdSsIdV0u70+4GYbqF4XH+ywIP8AOqPha/m1Hw1ZT3Rzdqhguf8ArtGxjk/8fVqANiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAZM5jgkcdVUkZ+lZdmuq3VlBcHUIFMsavt+y5xkZx96tK6/49Jv8Arm38qg0n/kDWP/XvH/6CKlq7N4S5abaXXsn+ZH9m1X/oJQf+Av8A9nVe8bVLG3+0NfQSKroCn2bbkFgOu73qlf3lxL4q0IRystm806bQeJSsTfMfYHgfQn0rU1z/AJBT/wDXSL/0YtRdNO3Q6OWUZ01K3veS7tW28ih4xHn6RbWP/P7f20DD1TzVZx+KK1dBXlPjL4i29v4msrSCyadNJvTLKxk2+Y4jdNo4OMF859Vx716Xpeo2+r6XbahaljDcIHXcMEexpwrQnJxi9UTiMuxOGpRq1YWjLb+unzLdFFFaHENkGYnGFbIPDdD9fanU2QZicYU/KeG6fj7U6n0AKKKKQBRRRQAUUUUAFFFFABRRRQAVz/if9xdaDqA4NvqcaMfVZlaHH/fUin8BXQVw/j/xBDbQxaUsZe482C6LZwE8uVZF/ElP1qZzUFeRth8PUxE/Z0ldncUVkaDrcXiLSTdQh4H3GN1yCUb2JGDwR2o0F5HOprJLJL5d86KXbJACrxQpp2t1HLDzhzqejjujXoooqjAKKKKACio55RDEXwWPRVHViegrJ0S4kVNWkvJ93lXj7mPRVCIcD0AqXKzsaxpOUHLsQaiPtPjjQ7c8rbW91eH2YbIl/SWT8q6GvNIPHFrJ4y/tGS1dLZrcWiktlkG8sXI/Lj2716XShUjP4WaYnB18M0q0bX2CiiirOYKKKKACiiigAooooAKKKKACiiigBuwAgjjGTgdDmkDkD95gEKCzfw0+ggEYIyDTAZJLHEFMkioGYKu44yT0H1rCf/RfiFFjgX+luD7mCVcfpcN+VGtjU74/ZtNsAXhuYZvtF1L5cZ2srFVwGY5AI6Ac9a5nxB4xgg8W2ksFs0o00zROd+PM3gBgOD0Kj64orctKEZSe50YXCVsVJxoxu1/XU9GorPNymo6MLy2mljjki8xSvBIx0Pp+HpSaDI8vh7TpJHZ3a2jLMxySdo5JqOa7sQ6TUHJ9Ha39eho0UUVRkFFFFABRUFzIyhYojiaThT/dHdvw/mQO9YdlrKab4ItdTvGeUiFSecs7E47+5qXNJ6m8KE5xvHdtK3rf/IdpP+k+MfEV0efIFtYj22oZj/6PH6V0NcB4M8UQ3Os39rLAY5dRumuUYNkA7FXaeP7qda7+lCcZq8R4nC1cNPkqqzCiiirOcKKKKACiiigAprZJC4YDruBHGCOPxpxIHU4pqDAyQAzcsAcjOKYDqKKKQBRRRQAUUUUAFc/4c/cap4iseixah50Y/wBmWJHP/j5krdmlSCGSaRtscalmJ7ADJrzjTPG9sPFt5dvaultfLDFktkps3DcR3zuHHbHeonUjCykzqw+Cr4hSlSje256VRWN4kaWLTlmiuJYyJ4V2o2AcyKDnv0OOtbNUnrYxlTtBTvvf8Lf5hRRRTMwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCK6/49Jv8Arm38qq6fH52gWsW9032qLvQ4ZcoOR71cmQyQSIOrKQM/Ssq0bWLWygt/7PtG8qNU3fbCM4GM/wCrqHozoppyptJq9+6X5mVqelamuu6M9r9vmtbMyF5F+zLsBjKgKCBnrg5HTpW5rn/IKf8A66Rf+jFpPtOsf9A20/8AAw//ABuoLxdWvrf7O9jaxKzoS4uixADA9Ngz0qLJJ2vqdLnOcqfPypR7Nd766+ZwXjL4d29z4msruC9aBNWvTFKpj3eW5jd9w5GclMY9Wz7V6XpenW+kaXbafahhDboEXcck+5rK8YnyNItr7/nyv7adj6J5qq5/BGaugqoUYQk5RWrM8RmOJxNKNGrO8Y7f11+YUUUVocQ2T/VPnb90/e6fj7U6myHETnKjAPLdB9fanU+gBRRRSAKKKKACiiigAooooAKKKKACuH8f6BDdQxaoshSfzYLXbjIfzJVjX8QX/Su4rn/E/wC/utBsBybjU45GHosKtNn/AL6jUfiKmcFNWkbYfEVMPP2lJ2ZZ0HRIvDukm1hZ53yZHbgF2x2BOB0A60miRXUE2oC4s5YVnu3mRmZCNpCgZwxOeK2KKSgla3QcsTOfM56uW7CiiirMAooooAr3VsZmSRZpY2jyQI9pyT/vAjP+JrJ0Sxu431JL6KcRXE7uBIYirKQo52854PtW9RUuKbubRryjBwSWv39zzSDwPax+Mv7Pkune2W3F2oK4Zxv2lCfy59+1el1z2on7N440O4PC3NvdWZ92OyVf0ik/OuhpQpxh8KLxOMr4lp1pXtsFFFFWcwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5z4g8HQXHi20ihuWiGpGaVxszs2AFiOR1LD6Zr0auff8A0r4gxY5FhpbE+xnlXH6W7fnUTpxmrSR04bF1sNJyoys2aJtRp+jCzs4JJVSLykQMM9OpLECm6FFPb6LZ21zbvDLBCkbBmU5IGDjBNaNFPlV7mbrScHF9Xe/UKKKKoyCiiigCld20oaS4gmufMKhRHF5fOP8AfHv61j2OgveeEE0jUlmiYIqnJQ7COQVK9vrzXS0VDgm7s6IYmcI8se6d+umxwHgzwvDbazf3Us5kl066a2RQuATsVtx5/uv0rv657Sf9G8Y+IrU8eeLa+HvuQwn/ANED9K6GiEIwVohicVVxM+eq7sKKKKs5wooooAKKKRjtGcE8gcUAN+++MqVXhgR34Ip9IoIUAsWIHU9TS0AFFFFABRRRQAUUUUAMmiSeGSGRd0cilWB7gjBrzjTPBFsfFt5aPdO9tYrDLgrgvv3HaT2xtHPfPavSq5/w7+/1TxFf9Vl1DyYz/sxRIh/8fElROnGdnJHVh8bXw6lGlK19yz4hhurrTxb2trJM5lifKsgACuGPUjsK1Y2LxhmjaMn+FsZH5EinUVVtbmLqNwULbX/G3+QUUUUzMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCnq2nx6vo97psxxHdwPAxHYMpGf1qt4a1GTVfDtldTjbclPLuV/uzISki/g6sK1a5ywP9j+Lr3Tm4ttUBvrU9hKAFmT8fkceu5/SgDo6KKKAGyHbE53KuATuboPc+1Opsh2xu25VwCdzdB7n2p1PoAUUUUgCiiigAooooAKKKKACiiigArnk/4mHj2RhzFpNl5ft507Bj+KpGv4SVsahfW+madcX10+y3t42lkb0AGT+NZ3hexuLTSDcXybNQv5WvLpe6u/RP+AKFT/gFAG1RRRQAUUUUAFFFFABRRRQBz/jFWi0RdTRSZNKuI77AGTsQ/vQPcxGQfjW+jrIiujBlYZBByCKR0WRGR1DIwIZSMgj0rn/CUj2tpcaBOSZ9JcQIWPL25GYX9/l+Un+8jUAdFRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzvhj/AE251nWTyt5eNFAf+mMI8ofgXWRh7NVnxPqE9lpBisWxqN64tLPjOJHz82PRFDOfZDV/TbCDStMtdPtV2wW0SxRg9cKMDPvQBaooooAKKKKACiiigAooooA53Vv+Jf4t0XUukVyJNOmPYFsSRk/8CjZR7yV0VZuv6WdY0O5so5BHOwDwSn/lnKhDRt+DKp/Cl0LVBrOjW995ZikcFZoSeYpVJV0PurAj8KANGiiigAooooAKaAS5JBGOB83BHHb/AD+tDNghQy7zyAe4BGf50qqqKFUBVAwABgAUwFooopAFFFFABRRRQAUUUUAVdSv4dK0u71C4OIbWF5nP+yoJP8qo+FrCbTvDVjBdDF2yGe5/67SMZJP/AB9mqp4hP9qapp3h9OUkcXl77QRsCqn/AH5Nox3UP6V0dABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVk+IdKl1TTlNo6xahayC5s5W6LKucA/7LAlW/wBljWtRQBn6Lq0WtaXHeRo0TElJoX+/DIpw6N7ggj9elaFc1qsE+g6nJr9jE8ttMANTtY1yzADAnQDq6jgjqyj1UA9BbXMF5axXNtKk0EqB45EOVZTyCD6UAPkbbGzblXAJ3N0HuadTZG2xs25VwCdzdB7mnUwCiiikAUUUUAFFFFABRRRQAUUVh65q1xFPHpGk7X1e5XcpYZS2j6GaT2HYfxHjpkgAq35/4SPxFHpafNp2myJPfMOkkww0UPvjiRvog7mumqjpGlW+jabHZW5dguWeSQ5eVycs7HuzEkk+9XqACiiigAooooAKKKKACiiigArnPEcUmm3dv4ltUZ2tEMV7EgyZbUnLYHdkPzj23gfero6KAGQzRXEEc8MiyRSKHR0OQykZBB7in1y0Df8ACH6gLWXjQLuX/RpO1lKx/wBU3pGxPynopO3oVrqaACiiigAooooAKKKKACiiigAooooAKOlFcxqc8niW/l0GxdlsIjt1S6Q4/wC3dD/eI+8R91TjqRgAXRz/AMJBrb+IG5sbdWt9MHZwT+8n/wCBEBVP91SRw9dNTIoo4IUiiRY40UKiKMBQOAAOwp9ABRRRQAUUUUAFFFFABRRRQAVzMp/4RzxMZz8ul6xIqyHtBd4CqfZZAAv+8F7ua6aq9/Y22p2E9jeRCW3nQpIh7g/y+tAFiiue0XULmwvR4f1iVnu1UtZ3b/8AL7EO/wD10UfeHf7w4OB0NABRRTWySFwwHXcD6EcfjQAIdw3ZJDcgEYIGKdRRQAUUUUAFFFFABRRRQAVV1HULbStOnv7yTy7eBC7tjJx6AdyegHcnFWWZUUsxCqBkknAArl7Td4t1KHUnBGh2j77JCP8Aj7lHSYj+4v8AAO5+bstAF3w5YXMcdxquox7NS1FhJLGTnyIwMRw/8BB59WZj3rcoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArmZtPvPDd1LfaNA1zp0rGS60xMblY8mSDPGT1KdG6jBzu6aigDnru8h1XSf7a0PU40miUiNpZCsLMOscqEjBzwcgMp/EHQ0i1aK3NzPeG7uZwDLIrkx5HZFzhVGSPU9yTzXEfEXRmS5i1G0tAElGLmSJPvMPul8deDgE/T0pvgvVj4esZ21lbq20+dgYbmSJjCjDO7cw+4Dxy2Bx1qfrU3L2NtO/8AXT9T03l0Fgli+fXt87ff19D0qio4LiG6gSe3mjmhcZSSNgysPUEdakqjzAooooAKKKKACqkmqafDfJYyX1sl24BWBplEjA9CFzk1V1PxHpekyrb3Nzuu3GY7SBTLO/0jXLY98YHc18fa5oniuXxvcR3enah/bNxcmVR5ZDszNwykZGM9CDgevFAH1xqOvSyXr6TocaXWpDiaRuYbMHvKR37hB8x9h8wt6NosOjwSYle4u7hvMuruXHmTv6nHQDoFHAHApPDemDR/DthYmGOKWOBPOEYGGlwN7EjqS2ST3rUoAKKKKACiiigAooooAKKKKACiiigAooooAiuLeG7tpba5iSaCVSkkbrlWU8EEdxXNpPdeD8RXjS3egDiO6OXlsh/dl7tGOz9R/Fx81dTRQBXN/ZrFFKbuARzAGJzIMODzwe/4VYByMjpXjni/RJdN16VbayMVlKd0CwoQgyMsFA4BzkkD1z3rsfDOvwaVplppeuyy2F30ia9UokqnlQsh+UnBxtzuGOlYQquU3G2x6eJy+NHC066ndy6f122Z2VFGcjIorc8wKKKKACiiigAqpBqmnXNzLbW9/ayzwkiWKOZWZMddwByPxrl/G2vrdeHtX0bw/PJea5JbPEkVkplaIkY+dhxGcZxuIPpmvmj4feGdav8A4habZjTboJFdKL9JI2RVhDDzVkz2K5GD1zjvQB9RzandeJpHstCmaDTwdtxqy/xeqW/95uxf7q9snpvafp9rpdjFZWUKw28QwqD9ST1JJ5JPJJyanjjSKNY40VEQBVVRgADoAKdQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBR1bSbXWbI2t0GADB45Y22yQuPuujdmHr/Qmsqz1q60q5i0vxEyCR2CW2ohdsV0eyt2jl/2ejfw9wOjqG6tLe+tZbW7gjnt5V2vFKoZWHoQetAGd4gKXGl3VrBLGdRWPzbaLzAH81fmjwM/3gKl06fVZmD3mm29pG67mAuzJIrYHBAQL+IY145LpOqW2r/Yxb3H2tXATAbJ5wCCe3vXrOkeJbC9aKxmna31RUHmWl2pilJA5IU/eHuuR71NHFOcHBx29f66Hp5jl0cIoSjPm5l/XyNyiiiqPMCiiigAooprukaM8jKiKMszHAA9TQArMqKWZgqqMkk4AFU31jTEsJb9tQtfscQzJOJVKKPc5xXAfEPWD4i8PNaeHftGoRRSh7qa1iLw7ADx5g4Y5xkLnGOcVznwp0Oe719ry6si9jAm9TKvyeb/AQDwWA3YPbPvXNKu41lTtue1QyqFXL54x1EnHp/XV9D0byLrxgytdwy2nh8HK20qlZb70Mg6pF/sHlv4sD5T1AAVQqgAAYAHalorpPFCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqmpLdvZMtlt84sv3mK/LuG7kdDjNW6r3stxBZySWtubicD5IgwXJ+pIFJ7F0786t+OxlhpLbxXDa2skjQPbM9xGzlghBG1hnoTyPfFblYmlNfi52zaVJbByXnuJZo3MhxgDCnj27ADFbdTDY2xOkktNFvdO/3f1axhT+ENJad7mySbTLlzuaXT5TBvPqyj5HP+8pqMad4ntOLbX7W8jH8OoWI3n/gcTIB/wB8GuhoqzmOf+1eL4uG0fRpx/eTUpIyf+AmA/zo+3+KzwPD+mA/7WrMB+kBroKKAOf/AOKwuOMaHYe+ZbvH/oqk/wCEbvbz/kLeIdQuEPWG0ItI/wA4/wB5/wCP10NFAFHTdG03R4mj06xgtg5y5jQBnPqx6sfc5NVfFetjw34U1TWdgdrS3aREJwGbHyg/U4rYrG8W6H/wkvhLVNGDiN7u3aNHbor9VJ9sgUAY2lkfb9BM2r3qXcqPI/nAlNRPl/MF5wgUneFAHA4GMmuyrirnTtR16/8AC3mWMtkulT/art5CuAyxFBGmCd2S3UcYHrxXa0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFU72K5muLVY8fZtzG4+cq2McYx157Vcqhq019FbKLCzkuJHOGKOilF9RuI59P85UtjSim5pK3zKmjSy/2vq1ssjyWUDoImdi21iuXUE8kDj6ZxWtNBFcwvDPEksTjDI6hlYehB61Q0c3IjeKXTTYQoAI0aVXLEkliSpPt15OTWnShsXiXeo/l2fTfTS73fmc9/wAIhZ2uTo15faOeyWc2YR9IXDRj8FFKLXxZajEep6VfKOguLR4XP1ZHI/JBXQUVRgc/9t8Wpw+haQ/vHqsn8jAMfrR9u8Wtwug6Sp9ZNWfH6QGugooA5/yfF1yMNeaPYA9RHbyXLfgxZB+an6Un/CJx3Y/4nOq6lqnrFJMIYT7GOIKGHs26uhooAgtLK10+2S2sraG2gThYoUCKv0A4rnfG2uyaTBpVnBK0MuqX8dp5qDLomCzlR3Yhdo92FdTXNeLtFn1JtFv7WLzp9K1BLvygQDImCrqueN2GyMkcrjvQBJoghXXtRjivroFIYQ+m3JLNCfmPmbiSW39MgkZQ85HHQ1y2n6ZdXXj+88SSRSW9r/ZsdhDHLw0pEjSM5HYDcAM89e2M9TQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVnzW0099OblttkIl8spMyENzuJxj25z2+taFY2sSX8ky20WlS3doVzIVmjQOf7p3HOPX16dM5mexvQTcrJped7fddrUf4auLm60KGW5ZnYlgkjj5nQMdrH6jFXNQ0yw1a2NtqFnBdQk52TRhwD6jPQ+9LYSXEtor3Vv9mkJP7ncG2DOAMjjpz+NWaI/Cia7vVk0ravbY57/hF5bQf8SfXdSsR2hkkF1F9MShmA9lZaXZ4vtxgS6Jf4/vRy2pP1wZP5V0FFUZHP8A2/xYvDeH9LJ9U1ZyP1gFH2zxdJwmi6PF/tSapIxH4CDn866CigDnzZeKrribWdPskPazsi8g+jyOV/8AHKF8H6bLIsuqSXWryA5B1CXzEB9REMRg+4UV0FFAGfrRNv4d1Aw/uzHaSFNnG3CHGPSm/wBhWH924/8AAqX/AOKpfEH/ACLeqf8AXpL/AOgGl128k0/w/qV5D/rYLWSROP4gpIrOVrts6qTqckY03ZttfkVRp+jG4+zidzNnbsF7JnOM4+91xzim32m29ilvPbmdZBdQrk3EjDBkUEYLEdCay7OSGy0Xwy1/ao8MskKxNuO+OZ0O127MWJOfQt361v61/wAetv8A9fdv/wCjVqVZxbsdM/aQqxjzNpu2r0dnb+l+Zo0UUVseYFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZ3iD/kW9U/69Jf/AEA1cuLeO6tpbeZd0UqFHX1UjBFMv4EutOureTOyWF0bHXBBBrD86/8A+gncf98Rf/EVlOai9TuoUJ1qa5HZpv8AT/IlXw9LJBpdpdXKSWumyJJHhCHkKDCbjnAx1OOpHbpV7Wv+PW3/AOvu3/8ARq1medf/APQTuP8AviL/AOIpY0uLq4gjuL6eWNZUfYVjAJUgjooPUCoU4Wsjqlhq/Mp1GrLX9X0OjoooroPHCiiigAooooA//9k=)\n \n\nClaim — At each step, the walnut that becomes red is between two non- red or two red walnuts. \n\nProof. By definition. \n\nOn the other hand, if there are 2021 walnuts, one obtains a parity obstruction to this simplified process: \n\nClaim — After the first step, there is always a consecutive block of black walnuts positive even length. \n\nProof. After the first step, there is a block of 2020 black walnuts.\n\n\n\nThereafter, note that a length 2 block of black walnuts can never be changed. Meanwhile for even lengths at least 4, if one places a red walnut inside it, the even length block splits into an odd length block and an even length block. \\(\\square\\) \n\nRemark. The statement is true with 2021 replaced by any odd number, and false for any even number. \n\nThe motivation comes from the following rephrasing of the problem: \n\nStart with all 0's and at each step change a 0 between two matching numbers from a 0 to a 1. \n\nAlthough the coloring (or 0/1) argument may appear to lose information at first, I think it should be equivalent to the original process; the \"extra\" information comes down to the choice of which walnut to color red at each step.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2021/5, proposed by Spain \n"}} +{"year": "2021", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(D\\) be an interior point of the acute triangle \\(ABC\\) with \\(AB > AC\\) so that \\(\\angle DAB = \\angle CAD\\) . The point \\(E\\) on the segment \\(AC\\) satisfies \\(\\angle ADE = \\angle BCD\\) , the point \\(F\\) on the segment \\(AB\\) satisfies \\(\\angle FDA = \\angle DBC\\) , and the point \\(X\\) on the line \\(AC\\) satisfies \\(CX = BX\\) . Let \\(O_{1}\\) and \\(O_{2}\\) be the circumcenters of the triangles \\(ADC\\) and \\(EXD\\) , respectively. Prove that the lines \\(BC\\) , \\(EF\\) , and \\(O_{1}O_{2}\\) are concurrent.", "solution": "This solution was contributed by Abdullahi Kafi. \n\nClaim — Quadrilateral \\(BCEF\\) is cyclic. \n\nProof. Let \\(D'\\) be the isogonal conjugate of the point \\(D\\) . The angle condition implies quadrilateral \\(CEDD'\\) and \\(BFDD'\\) are cyclic. By power of point we have \n\n\\[AE\\cdot AC = AD\\cdot AD' = AF\\cdot AB\\] \n\nSo \\(BCEF\\) is cyclic. \n\nClaim — Line \\(ZD\\) is tangent to the circles \\((BCD)\\) and \\((DEF)\\) where \\(Z = EF\\cap BC\\) . \n\nProof. Let \\(\\angle CAD = \\angle BAD = \\alpha\\) , \\(\\angle BCD = \\beta\\) , \\(\\angle DBC = \\gamma\\) , \\(\\angle ACD = \\phi\\) , \\(\\angle ABD = \\epsilon\\) . From \\(\\triangle ABC\\) we have \\(2\\alpha + \\beta + \\gamma + \\phi + \\epsilon = 180^{\\circ}\\) . Let \\(\\ell\\) be a line tangent to \\((BCD)\\) and \\(K\\) be a point on it in the same side of \\(AD\\) as \\(C\\) and \\(L = AD\\cap BC\\) . From our labeling we have, \n\n\\[\\angle AFE = \\beta +\\phi \\qquad \\angle BFD = \\alpha +\\gamma \\qquad \\angle DFE = \\alpha +\\phi \\qquad \\angle CDL = \\alpha +\\phi\\] \n\nNow \\(\\angle CDJ = 180^{\\circ} - \\gamma - \\beta - (\\alpha +\\phi) = \\alpha +\\epsilon\\) . So \\(\\angle DFE = \\angle EDK = \\alpha +\\epsilon\\) , which means \\(\\ell\\) is also tangent to \\((DEF)\\) . Now by the radical center theorem we have \\(\\ell\\) passes through \\(Z\\) . \\(\\square\\) \n\nLet \\(M\\) be the Miquel point of the cyclic quadrilateral \\(BCEF\\) . From the Miquel configuration we have \\(A\\) , \\(M\\) , \\(Z\\) are collinear and \\((AFEM)\\) , \\((ZCEM)\\) are cyclic. \n\nClaim — Points \\(B\\) , \\(X\\) , \\(M\\) , \\(E\\) are cyclic. \n\nProof. Notice that \\(\\angle EMB = 180^{\\circ} - \\angle AMB - \\angle EMZ = 180^{\\circ} - 2\\angle ACB = \\angle EXB\\) . \\(\\square\\) \n\nLet \\(N\\) be the other intersection of circles \\((ACD)\\) and \\((DEX)\\) and let \\(R\\) be the intersection of \\(AC\\) and \\(BM\\) .\n\n\n![md5:79441668e3d69c644744261e71aee5b3](79441668e3d69c644744261e71aee5b3.jpeg)\n \n\nClaim — Points \\(B\\) , \\(D\\) , \\(M\\) , \\(N\\) are cyclic. \n\nProof. By power of point we have \n\n\\[\\operatorname {Pow}(R,(ACD)) = RC\\cdot RA = RM\\cdot RB = RE\\cdot RX = \\operatorname {Pow}(R,(DEX)).\\] \n\nHence \\(R\\) lies on the radical axis of \\((ACD)\\) and \\((DEX)\\) , so \\(N\\) , \\(R\\) , \\(D\\) are collinear. Also \n\n\\[R N\\cdot R D = R A\\cdot R C = R M\\cdot R B\\] \n\nSo \\(BDMN\\) is cyclic. \n\nNotice that \\((ACD)\\) , \\((BDMN)\\) , \\((DEX)\\) are coaxial so their centers are collinear. Now we just need to prove the centers of \\((ACD)\\) , \\((BDMN)\\) and \\(Z\\) are collinear. To prove this, take a circle \\(\\omega\\) with radius \\(ZD\\) centered at \\(Z\\) . Notice that by power of point \n\n\\[ZC\\cdot ZB = ZD^{2} = ZE\\cdot ZF = ZM\\cdot ZA\\] \n\nwhich means inversion circle \\(\\omega\\) swaps \\((ACD)\\) and \\((BDMN)\\) . So the centers of \\((ACD)\\) and \\((BDMN)\\) must have to be collinear with the center of inversion circle, as desired.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2021/3, proposed by Mykhailo Shtandenko (UKR) \n"}} +{"year": "2021", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(\\Gamma\\) be a circle with center \\(I\\) , and \\(ABCD\\) a convex quadrilateral such that each of the segments \\(AB\\) , \\(BC\\) , \\(CD\\) and \\(DA\\) is tangent to \\(\\Gamma\\) . Let \\(\\Omega\\) be the circumcircle of the triangle \\(AIC\\) . The extension of \\(BA\\) beyond \\(A\\) meets \\(\\Omega\\) at \\(X\\) , and the extension of \\(BC\\) beyond \\(C\\) meets \\(\\Omega\\) at \\(Z\\) . The extensions of \\(AD\\) and \\(CD\\) beyond \\(D\\) meet \\(\\Omega\\) at \\(Y\\) and \\(T\\) , respectively. Prove that \n\n\\[AD + DT + TX + XA = CD + DY + YZ + ZC.\\]", "solution": "Let \\(PQR S\\) be the contact points of \\(\\Gamma\\) an \\(\\overline{AB}\\) , \\(\\overline{BC}\\) , \\(\\overline{CD}\\) , \\(\\overline{DA}\\) . \n\n![md5:a5dbdbfdcca3b1c6bfecd8d382a56f47](a5dbdbfdcca3b1c6bfecd8d382a56f47.jpeg)\n \n\nClaim — We have \\(\\triangle IQZ \\cong \\triangle IRT\\) . Similarly, \\(\\triangle IPX \\cong \\triangle ISY\\) . \n\nProof. By considering \\((CQIR)\\) and \\((CITZ)\\) , there is a spiral similarity similarity mapping \\(\\triangle IQZ\\) to \\(\\triangle IRT\\) . Since \\(IQ = IR\\) , it is in fact a congruence. \\(\\square\\) \n\nThis congruence essentially solves the problem. First, it implies: \n\nClaim — \\(TX = YZ\\) . \n\nProof. Because we saw \\(IX = IY\\) and \\(IT = IZ\\) . \\(\\square\\)\n\n\n\nThen, we can compute \n\n\\[AD + DT + XA = AD + (RT - RD) + (XP - AP)\\] \\[\\qquad = (AD - RD - AP) + RT + XP = RT + XP\\] \n\nand \n\n\\[CD + DY + ZC = CD + (SY - SD) + (ZQ - QC)\\] \\[\\qquad = (CD - SD - QC) + SY + ZQ = SY + ZQ\\] \n\nbut \\(ZQ = RT\\) and \\(XP = SY\\) , as needed.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2021/4, proposed by Dominik Burek (POL) and Tomasz Ciesla (POL) \n"}} +{"year": "2021", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Two squirrels, Bushy and Jumpy, have collected 2021 walnuts for the winter. Jumpy numbers the walnuts from 1 through 2021, and digs 2021 little holes in a circular pattern in the ground around their favourite tree. The next morning Jumpy notices that Bushy had placed one walnut into each hole, but had paid no attention to the numbering. Unhappy, Jumpy decides to reorder the walnuts by performing a sequence of 2021 moves. In the \\(k\\) th move, Jumpy swaps the positions of the two walnuts adjacent to walnut \\(k\\) . \n\nProve that there exists a value of \\(k\\) such that, on the \\(k\\) th move, Jumpy swaps some walnuts \\(a\\) and \\(b\\) such that \\(a < k < b\\) .", "solution": "Assume for contradiction no such \\(k\\) exists. We will use a so- called \"threshold trick\". \n\nThis process takes exactly 2021 steps. Right after the \\(k\\) th move, we consider a situation where we color walnut \\(k\\) red as well, so at the \\(k\\) th step there are \\(k\\) ones. For brevity, a non- red walnut is called black. An example is illustrated below with 2021 replaced by 6. \n\n![md5:9b665ae68de01be864315d2765666e09](9b665ae68de01be864315d2765666e09.jpeg)\n \n\nClaim — At each step, the walnut that becomes red is between two non- red or two red walnuts. \n\nProof. By definition. \n\nOn the other hand, if there are 2021 walnuts, one obtains a parity obstruction to this simplified process: \n\nClaim — After the first step, there is always a consecutive block of black walnuts positive even length. \n\nProof. After the first step, there is a block of 2020 black walnuts.\n\n\n\nThereafter, note that a length 2 block of black walnuts can never be changed. Meanwhile for even lengths at least 4, if one places a red walnut inside it, the even length block splits into an odd length block and an even length block. \\(\\square\\) \n\nRemark. The statement is true with 2021 replaced by any odd number, and false for any even number. \n\nThe motivation comes from the following rephrasing of the problem: \n\nStart with all 0's and at each step change a 0 between two matching numbers from a 0 to a 1. \n\nAlthough the coloring (or 0/1) argument may appear to lose information at first, I think it should be equivalent to the original process; the \"extra\" information comes down to the choice of which walnut to color red at each step.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2021/5, proposed by Spain \n"}} {"year": "2021", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(m \\geq 2\\) be an integer, \\(A\\) a finite set of integers (not necessarily positive) and \\(B_{1}, B_{2}, \\ldots , B_{m}\\) subsets of \\(A\\) . Suppose that, for every \\(k = 1, 2, \\ldots , m\\) , the sum of the elements of \\(B_{k}\\) is \\(m^{k}\\) . Prove that \\(A\\) contains at least \\(\\frac{m}{2}\\) elements.", "solution": "L. \n\nIf \\(0\\leq X< m^{m + 1}\\) is a multiple of \\(m\\) , then write it in base \\(m\\) as \n\n\\[X = \\sum_{i = 1}^{m}c_{i}m^{i}\\qquad c_{i}\\in \\{0,1,2,\\ldots ,m - 1\\}\\] \n\nThen swapping the summation to over \\(A\\) through the \\(B_{i}\\) 's gives \n\n\\[X = \\sum_{i = 1}^{n}\\left(\\sum_{b\\in B_{i}}b\\right)c_{i} = \\sum_{a\\in A}f_{a}(X)a\\quad \\mathrm{where}\\quad f_{a}(X):= \\sum_{i:a\\in B_{i}}c_{i}.\\] \n\nEvidently, \\(0\\leq f_{a}(X)\\leq n(m - 1)\\) for any \\(a\\) and \\(X\\) . So, setting \\(|A| = n\\) , the right- hand side of the display takes on at most \\((n(m - 1) + 1)^{n}\\) distinct values. This means \n\n\\[m^{m}\\leq (n(m - 1))^{n}\\] \n\nwhich implies \\(n\\geq m / 2\\) \n\nRemark (Motivation comments from USJL). In linear algebra terms, we have some \\(n\\) - dimensional \\(0 / 1\\) vectors \\(\\vec{v_{1}}\\) , ..., \\(\\vec{v_{m}}\\) and an \\(n\\) - dimensional vector \\(\\vec{a}\\) such that \\(\\vec{v_{i}}\\cdot \\vec{a} = m^{i}\\) for \\(i = 1,\\ldots ,m\\) . The intuition is that if \\(n\\) is too small, then there should be lots of linear dependences between \\(\\vec{v_{i}}\\) . \n\nIn fact, Siegel's lemma is a result that says, if there are many more vectors than the dimension of the ambient space, there exist linear dependences whose coefficients are not- too- big integers. On the other hand, any linear dependence between \\(m\\) , \\(m^{2}\\) , ..., \\(m^{m}\\) is going to have coefficients that are pretty big; at least one of them needs to exceed \\(m\\) . \n\nApplying Siegel's lemma turns out to solve the problem (and is roughly equivalent to the solution above). \n\nRemark. In https://aops.com/community/p23185192, dgrozev shows the stronger bound \\(n\\geq \\left(\\frac{2}{3} +\\frac{c}{\\log m}\\right)m\\) elements, for some absolute constant \\(c > 0\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2021-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2021/6, proposed by Austria \n"}} diff --git a/IMO/segmented/en-IMO-2022-notes.jsonl b/IMO/segmented/en-IMO-2022-notes.jsonl index b784693b5b03942326d5def9d6381a0d366c728d..f9986db0f7cee872109e5917eefa5f1fea2986bd 100644 --- a/IMO/segmented/en-IMO-2022-notes.jsonl +++ b/IMO/segmented/en-IMO-2022-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2022", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "The Bank of Oslo issues two types of coin: aluminum (denoted \\(A\\) ) and bronze (denoted \\(B\\) ). Marianne has \\(n\\) aluminum coins and \\(n\\) bronze coins arranged in a row in some arbitrary initial order. A chain is any subsequence of consecutive coins of the same type. Given a fixed positive integer \\(k \\leq 2n\\) , Gilberty repeatedly performs the following operation: he identifies the longest chain containing the \\(k^{\\mathrm{th}}\\) coin from the left and moves all coins in that chain to the left end of the row. For example, if \\(n = 4\\) and \\(k = 4\\) , the process starting from the ordering \\(AABBBA\\) would be \\(AABBBA\\) \\(A\\) \\(BBBA\\) \\(A\\) \\(AAABBB\\) \\(A\\) \\(BBBBAA\\) \\(A\\) \\(BBBBAA\\) \\(A\\) \\(\\dots\\) \n\nFind all pairs \\((n,k)\\) with \\(1\\leq k\\leq 2n\\) such that for every initial ordering, at some moment during the process, the leftmost \\(n\\) coins will all be of the same type.", "solution": "Tsame type. \n\nAnswer: \\(n\\leq k\\leq \\left\\lceil \\frac{3}{2} n\\right\\rceil\\) \n\nCall a maximal chain a block. Then the line can be described as a sequence of blocks: it's one of: \n\n\\[\\underbrace{A\\ldots A}_{e_1}\\underbrace{B\\ldots B}_{e_2}\\underbrace{A\\ldots A}_{e_3}\\ldots \\underbrace{A\\ldots A}_{e_m}\\mathrm{~for~odd~}m\\] \\[\\underbrace{A\\ldots A}_{e_1}\\underbrace{B\\ldots B}_{e_2}\\underbrace{A\\ldots A}_{e_3}\\ldots \\underbrace{B\\ldots B}_{e_m}\\mathrm{~for~even~}m\\] \n\nor the same thing with the roles of \\(A\\) and \\(B\\) flipped. \n\nThe main claim is the following: \n\nClaim — The number \\(m\\) of blocks will never increase after an operation. Moreover, it stays the same if and only if \n\n- \\(k \\leq e_1\\) ; or \n\n- \\(m\\) is even and \\(e_m \\geq 2n + 1 - k\\) . \n\nProof. This is obvious, just run the operation and see! \n\nThe problem asks for which values of \\(k\\) we always reach \\(m = 2\\) eventually; we already know that it's non- increasing. We consider a few cases: \n\n- If \\(k < n\\) , then any configuration with \\(e_1 = n - 1\\) will never change. \n\n- If \\(k > \\lceil 3n / 2 \\rceil\\) , then take \\(m = 4\\) and \\(e_1 = e_2 = \\lfloor n / 2 \\rfloor\\) and \\(e_3 = e_4 = \\lceil n / 2 \\rceil\\) . This configuration retains \\(m = 4\\) always: the blocks simply rotate. \n\n- Conversely, suppose \\(k \\geq n\\) has the property that \\(m > 2\\) stays fixed. If after the first three operations \\(m\\) hasn't changed, then we must have \\(m \\geq 4\\) even, and \\(e_m, e_{m-1}, e_{m-2} \\geq 2n + 1 - k\\) . Now, \n\n\\[n \\geq e_m + e_{m-2} \\geq 2(2n + 1 - k) \\implies k \\geq \\frac{3}{2} n + 1\\]\n\n\n\nso this completes the proof.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2022/1, proposed by Baptiste Serraille (FRA) \n"}} {"year": "2022", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Find all functions \\(f\\colon \\mathbb{R}^{+}\\to \\mathbb{R}^{+}\\) such that for each \\(x\\in \\mathbb{R}^{+}\\) , there is exactly one \\(y\\in \\mathbb{R}^{+}\\) satisfying \n\n\\[x f(y) + y f(x)\\leq 2.\\]", "solution": "The answer is \\(f(x)\\equiv 1 / x\\) which obviously works (here \\(y = x\\) ). \n\nFor the converse, assume we have \\(f\\) such that each \\(x\\in \\mathbb{R}^{+}\\) has a friend \\(y\\) with \\(x f(y) + y f(x)\\leq 2\\) . By symmetry \\(y\\) is also the friend of \\(x\\) . \n\nClaim — In fact every number is its own friend. \n\nProof. Assume for contradiction \\(a\\neq b\\) are friends. Then we know that \\(a f(a) + a f(a)>\\) \\(2\\Longrightarrow f(a) > \\frac{1}{a}\\) . Analogously, \\(f(b) > \\frac{1}{b}\\) . However, we then get \n\n\\[2\\geq a f(b) + b f(a) > \\frac{a}{b} +\\frac{b}{a}\\stackrel {\\mathrm{AMGM}}{\\geq}2\\] \n\nwhich is impossible. \n\nThe problem condition now simplifies to saying \n\n\\[f(x)\\leq \\frac{1}{x}\\mathrm{~for~all~}x,\\qquad x f(y) + y f(x) > 2\\mathrm{~for~all~}x\\neq y.\\] \n\nIn particular, for any \\(x > 0\\) and \\(\\epsilon >0\\) we have \n\n\\[2< x f(x + \\epsilon) + (x + \\epsilon)f(x)\\leq \\frac{x}{x + \\epsilon} +(x + \\epsilon)f(x)\\] \\[\\Longrightarrow f(x) > \\frac{x + 2\\epsilon}{(x + \\epsilon)^{2}} = \\frac{1}{x + \\frac{\\epsilon^{2}}{x + 2\\epsilon}}.\\] \n\nSince this holds for all \\(\\epsilon >0\\) this forces \\(f(x)\\geq \\frac{1}{x}\\) as well. We're done. \n\nRemark. Alternatively, instead of using \\(x + \\epsilon\\) , it also works to consider \\(y = \\frac{1}{f(x)}\\) . For such a \\(y\\) , we would have \n\n\\[x f\\left(\\frac{1}{f(x)}\\right) + \\frac{1}{f(x)}\\cdot f(x) = x f\\left(\\frac{1}{f(x)}\\right) + 1\\leq x\\cdot f(x) + 1\\leq 1 + 1 = 2\\] \n\nwhich gives a similar contradiction.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2022/2, proposed by Merlijn Staps (NLD) \n"}} {"year": "2022", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(k\\) be a positive integer and let \\(S\\) be a finite set of odd prime numbers. Prove that there is at most one way (up to rotation and reflection) to place the elements of \\(S\\) around the circle such that the product of any two neighbors is of the form \\(x^{2} + x + k\\) for some positive integer \\(x\\) .", "solution": "We replace \"positive integer \\(x\\) \" with \"nonnegative integer \\(x\\) \", and say numbers of the form \\(x^{2} + x + k\\) are good. We could also replace \"nonnegative integer \\(x\\) \" with \"integer \\(x\\) \" owing to the obvious map \\(x \\mapsto 1 - x\\) . \n\nClaim — If \\(p\\) is an odd prime, there are at most two odd primes \\(q\\) and \\(r\\) less than \\(p\\) for which \\(pq = x^{2} + x + k\\) and \\(pr = y^{2} + y + k\\) are good. \n\nMoreover, if the above occurs and \\(x, y \\geq 0\\) , then \\(x + y + 1 = p\\) and \\(xy \\equiv k \\pmod{p}\\) . \n\nProof. The equation \\(T^{2} + T + k \\equiv 0 \\pmod{p}\\) has at most two solutions modulo \\(p\\) , i.e. at most two solutions in the interval \\([0, p - 1]\\) . Because \\(0 \\leq x, y < p\\) from \\(p > \\max(q, r)\\) and \\(k > 0\\) , the first half follows. \n\nFor the second half, Vieta also gives \\(x + y \\equiv - 1 \\pmod{p}\\) and \\(xy \\equiv k \\pmod{p}\\) , and we know \\(0 < x + y < 2p\\) . \\(\\square\\) \n\nClaim — If two such primes do exist as above, then \\(qr\\) is also good (!). \n\nProof. Let \\(pq = x^{2} + x + k\\) and \\(pr = y^{2} + y + k\\) for \\(x, y \\geq 0\\) as before. Fix \\(\\alpha \\in \\mathbb{C}\\) such that \\(\\alpha^{2} + \\alpha + k = 0\\) ; then for any \\(n \\in \\mathbb{Z}\\) , we have \n\n\\[n^{2} + n + k = \\mathrm{Norm}(n - \\alpha).\\] \n\nHence \n\n\\[pq \\cdot pr = \\mathrm{Norm} \\left((x - \\alpha)(y - \\alpha)\\right) = \\mathrm{Norm} \\left((xy - k) - (x + y + 1)\\alpha\\right)\\] \n\nBut \\(\\mathrm{Norm}(p) = p^{2}\\) , so combining with the second half of the previous claim gives \n\n\\[qr = \\mathrm{Norm} \\left(\\frac{1}{p} (xy - k) - \\alpha\\right)\\] \n\nas needed. \n\nThese two claims imply the claim directly by induction on \\(|S|\\) , since one can now delete the largest element of \\(S\\) . \n\nRemark. To show that the condition is not vacuous, the author gave a ring of 385 primes for \\(k = 41\\) ; see https://aops.com/community/p26068963.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2022/3, proposed by Ankan Bhattacharya (USA) \n"}} -{"year": "2022", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C D E\\) be a convex pentagon such that \\(B C = D E\\) . Assume that there is a point \\(T\\) inside \\(A B C D E\\) with \\(T B = T D\\) \\(T C = T E\\) and \\(\\angle A B T = \\angle T E A\\) . Let line \\(A B\\) intersect lines \\(C D\\) and \\(C T\\) at points \\(P\\) and \\(Q\\) , respectively. Assume that the points \\(P\\) , \\(B\\) , \\(A\\) , \\(Q\\) occur on their line in that order. Let line \\(A E\\) intersect \\(C D\\) and \\(D T\\) at points \\(R\\) and \\(S\\) , respectively. Assume that the points \\(R\\) , \\(E\\) , \\(A\\) , \\(S\\) occur on their line in that order. Prove that the points \\(P\\) , \\(S\\) , \\(Q\\) , \\(R\\) lie on a circle.", "solution": "## Problem statemens imply \n\n\\[\\triangle BTC\\cong \\triangle DTE,\\qquad \\mathrm{and}\\qquad \\triangle BTY\\cong \\triangle ETX.\\] \n\nDefine \\(K = \\overline{CT} \\cap \\overline{AE}\\) , \\(L = \\overline{DT} \\cap \\overline{AB}\\) , \\(X = \\overline{BT} \\cap \\overline{AE}\\) , \\(Y = \\overline{ET} \\cap \\overline{BY}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nClaim (Main claim) — We have \n\n\\[\\triangle BTQ \\sim \\triangle ETS, \\qquad \\text{and} \\qquad BY: YL: LQ = EX: XK: KS.\\]\n\n\n\nIn other words, \\(TBYLQ \\sim TEXKS\\) . \n\nProof. We know \\(\\triangle BTY \\sim \\triangle ETX\\) . Also, \\(\\triangle BTL = \\triangle BTD = \\triangle CTE = \\triangle KTE\\) and \\(\\triangle BTQ = \\triangle BTC = \\triangle DTE = \\triangle STE\\) . \\(\\square\\) \n\nIt follows from the claim that: \n\n\\(\\cdot \\mathit{T L} / \\mathit{T Q} = \\mathit{T K} / \\mathit{T S}\\) , ergo \\(T L\\cdot T S = T K\\cdot T Q\\) , so \\(K L S Q\\) is cyclic; and \n\n\\(\\cdot \\mathit{T C} / \\mathit{T K} = \\mathit{T E} / \\mathit{T K} = \\mathit{T B} / \\mathit{T L} = \\mathit{T D} / \\mathit{T L}\\) , so \\(\\overline{{K L}}\\parallel \\overline{{P C D R}}\\) \n\nWith these two bullets, we're done by Reim theorem.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2022/4, proposed by Patrik Bak (SVK) \n"}} +{"year": "2022", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C D E\\) be a convex pentagon such that \\(B C = D E\\) . Assume that there is a point \\(T\\) inside \\(A B C D E\\) with \\(T B = T D\\) \\(T C = T E\\) and \\(\\angle A B T = \\angle T E A\\) . Let line \\(A B\\) intersect lines \\(C D\\) and \\(C T\\) at points \\(P\\) and \\(Q\\) , respectively. Assume that the points \\(P\\) , \\(B\\) , \\(A\\) , \\(Q\\) occur on their line in that order. Let line \\(A E\\) intersect \\(C D\\) and \\(D T\\) at points \\(R\\) and \\(S\\) , respectively. Assume that the points \\(R\\) , \\(E\\) , \\(A\\) , \\(S\\) occur on their line in that order. Prove that the points \\(P\\) , \\(S\\) , \\(Q\\) , \\(R\\) lie on a circle.", "solution": "## Problem statemens imply \n\n\\[\\triangle BTC\\cong \\triangle DTE,\\qquad \\mathrm{and}\\qquad \\triangle BTY\\cong \\triangle ETX.\\] \n\nDefine \\(K = \\overline{CT} \\cap \\overline{AE}\\) , \\(L = \\overline{DT} \\cap \\overline{AB}\\) , \\(X = \\overline{BT} \\cap \\overline{AE}\\) , \\(Y = \\overline{ET} \\cap \\overline{BY}\\) . \n\n![md5:69a529146f39e2dea861885131ca8e65](69a529146f39e2dea861885131ca8e65.jpeg)\n \n\nClaim (Main claim) — We have \n\n\\[\\triangle BTQ \\sim \\triangle ETS, \\qquad \\text{and} \\qquad BY: YL: LQ = EX: XK: KS.\\]\n\n\n\nIn other words, \\(TBYLQ \\sim TEXKS\\) . \n\nProof. We know \\(\\triangle BTY \\sim \\triangle ETX\\) . Also, \\(\\triangle BTL = \\triangle BTD = \\triangle CTE = \\triangle KTE\\) and \\(\\triangle BTQ = \\triangle BTC = \\triangle DTE = \\triangle STE\\) . \\(\\square\\) \n\nIt follows from the claim that: \n\n\\(\\cdot \\mathit{T L} / \\mathit{T Q} = \\mathit{T K} / \\mathit{T S}\\) , ergo \\(T L\\cdot T S = T K\\cdot T Q\\) , so \\(K L S Q\\) is cyclic; and \n\n\\(\\cdot \\mathit{T C} / \\mathit{T K} = \\mathit{T E} / \\mathit{T K} = \\mathit{T B} / \\mathit{T L} = \\mathit{T D} / \\mathit{T L}\\) , so \\(\\overline{{K L}}\\parallel \\overline{{P C D R}}\\) \n\nWith these two bullets, we're done by Reim theorem.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2022/4, proposed by Patrik Bak (SVK) \n"}} {"year": "2022", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Find all triples \\((a,b,p)\\) of positive integers with \\(p\\) prime and \n\n\\[a^{p} = b! + p.\\]", "solution": "The answer is \\((2,2,2)\\) and \\((3,4,3)\\) only, which work. \n\nIn what follows we assume \\(a\\geq 2\\) \n\nClaim — We have \\(b\\leq 2p - 2\\) , and hence \\(a< p^{2}\\) \n\nProof. For the first half, assume first for contradiction that \\(b\\geq 2p\\) . Then \\(b! + p\\equiv p\\) (mod \\(p^{2}\\) ), so \\(\\nu_{p}(b! + p) = 1\\) , but \\(\\nu_{p}(a^{p}) = 1\\) never occurs. \n\nWe can also rule out \\(b = 2p - 1\\) since that would give \n\n\\[(2p - 1)! + p = p[(p - 1)!(p + 1)(p + 2)\\dots (2p - 1) + 1]\\] \n\nBy Wilson theorem the inner bracket is \\((- 1)^{2} + 1\\equiv 2\\) (mod \\(p\\) ) exactly, contradiction for \\(p > 2\\) . And when \\(p = 2\\) , \\(3! + 2 = 8\\) is not a perfect square. \n\nThe second half follows as \\(a^{p}\\leq (2p - 2)! + p< p^{2p}\\) . (Here we used the crude estimate \\((2p - 2)! = \\prod_{k = 1}^{p - 1}k\\cdot (2p - 1 - k)< (p(p - 1))^{p - 1})\\) . \\(\\square\\) \n\nClaim — We have \\(a\\geq p\\) , and hence \\(b\\geq p\\) \n\nProof. For the first half, assume for contradiction that \\(p > a\\) . Then \n\n\\[b! + p = a^{p}\\geq a^{p - 1} + p\\geq a^{a} + p > a! + p\\Rightarrow b > a.\\] \n\nThen taking modulo \\(a\\) now gives \\(0\\equiv 0 + p\\) (mod \\(a\\) ), which is obviously impossible. \n\nThe second half follows from \\(b! = a^{p} - p\\geq p! - p > (p - 1)!\\) . \\(\\square\\) \n\nClaim — We have \\(a = p\\) exactly. \n\nProof. We know \\(p\\geq b\\) hence \\(p\\mid b! + p\\) , so let \\(a = pk\\) for \\(k< p\\) . Then \\(k\\mid b!\\) yet \\(k\\nmid a^{p} - p\\) contradiction. \\(\\square\\) \n\nLet's get the small \\(p\\) out of the way: \n\n- For \\(p = 2\\) , checking \\(2\\leq b\\leq 3\\) gives \\((a,b) = (2,2)\\) only. \n\n- For \\(p = 3\\) , checking \\(3\\leq b\\leq 5\\) gives \\((a,b) = (3,4)\\) only. \n\nOnce \\(p\\geq 5\\) , if \\(b! = p^{p} - p = p(p^{p - 1} - 1)\\) then applying Zsigmondy gets a prime factor \\(q\\equiv 1\\) (mod \\(p - 1\\) ) which divides \\(p^{p - 1} - 1\\) . Yet \\(q\\leq b\\leq 2p - 2\\) and \\(q\\neq p\\) , contradiction.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2022/5, proposed by Tijs Buggenhout (BEL) \n"}} {"year": "2022", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. A Nordic square is an \\(n\\times n\\) board containing all the integers from 1 to \\(n^{2}\\) so that each cell contains exactly one number. An uphill path is a sequence of one or more cells such that: \n\na) the first cell in the sequence is a valley, meaning the number written is less than all its orthogonal neighbors, \nb) each subsequent cell in the sequence is orthogonally adjacent to the previous cell, and \nc) the numbers written in the cells in the sequence are in increasing order. \n\nFind, as a function of \\(n\\) , the smallest possible total number of uphill paths in a Nordic square.", "solution": "Lre. \n\nAnswer: \\(2n^{2} - 2n + 1\\) \n\nBound. The lower bound is the \"obvious\" one: \n\n- For any pair of adjacent cells, say \\(a > b\\) , one can extend it to a downhill path (the reverse of an uphill path) by walking downwards until one reaches a valley. This gives \\(2n(n - 1) = 2n^{2} - 2n\\) uphill paths of length \\(\\geq 2\\) . \n\n- There is always at least one uphill path of length 1, namely the single cell \\(\\{1\\}\\) (or indeed any valley). \n\nConstruction. For the construction, the ideas it build a tree \\(T\\) on the grid such that no two cells not in \\(T\\) are adjacent. \n\nAn example of such a grid is shown below for \\(n = 15\\) with \\(T\\) in yellow and cells not in \\(T\\) in black; it generalizes to any \\(3\\mid n\\) , and then to any \\(n\\) by deleting the last \\(n\\) mod 3 rows and either/both of the leftmost/rightmost column.\n\n\n\n\n
12332366263649397123124125
433343565949596126
6573767666898128127129
83938406910099101130
1091141717072102132131133
1243424473104103105134
14131545757476106136135137
1647464877108107109138
18171949797880110140139141
2051505281112111113142
22212353838284114144143145
2455545685116115117146
26252757878688118148147149
2859586089120119121150
30293161919092122152151153
\n\nPlace 1 anywhere in \\(T\\) and then place all the small numbers at most \\(|T|\\) adjacent to previously placed numbers (example above). Then place the remaining numbers outside \\(T\\) arbitrarily. \n\nBy construction, as 1 is the only valley, any uphill path must start from 1. And by construction, it may only reach a given pair of terminal cells in one way, i.e. the downhill paths we mentioned are the only one. End proof.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2022-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2022/6, proposed by Nikola Petrovic (SRB) \n"}} diff --git a/IMO/segmented/en-IMO-2023-notes.jsonl b/IMO/segmented/en-IMO-2023-notes.jsonl index ca34055b08d7d2ebe78146d14330817addd85290..c7e9352f8d2a8ab97909b1a9cf31bcf673673d1f 100644 --- a/IMO/segmented/en-IMO-2023-notes.jsonl +++ b/IMO/segmented/en-IMO-2023-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2023", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Determine all composite integers \\(n > 1\\) that satisfy the following property: if \\(d_{1}< d_{2}< \\dots < d_{k}\\) are all the positive divisors of \\(n\\) with then \\(d_{i}\\) divides \\(d_{i + 1} + d_{i + 2}\\) for every \\(1\\leq i\\leq k - 2\\)", "solution": "Problem statement . \n\nThe answer is prime powers. \n\nVerification that these work. When \\(n = p^{e}\\) , we get \\(d_{i} = p^{i - 1}\\) . The \\(i^{\\mathrm{th}}\\) relationship reads \n\n\\[p^{i - 1}\\mid p^{i} + p^{i + 1}\\] \n\nwhich is obviously true. \n\nProof that these are the only answers. Conversely, suppose \\(n\\) has at least two distinct prime divisors. Let \\(p< q\\) denote the two smallest ones, and let \\(p^{e}\\) be the largest power of \\(p\\) which both divides \\(n\\) and is less than \\(q\\) , hence \\(e\\geq 1\\) . Then the smallest factors of \\(n\\) are 1, \\(p\\) , ..., \\(p^{e}\\) , \\(q\\) . So we are supposed to have \n\n\\[\\frac{n}{q}\\mid \\frac{n}{p^{e}} +\\frac{n}{p^{e - 1}} = \\frac{(p + 1)n}{p^{e}}\\] \n\nwhich means that the ratio \n\n\\[\\frac{q(p + 1)}{p^{e}}\\] \n\nneeds to be an integer, which is obviously not possible.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2023/1, proposed by Santiago Rodriguez (COL) \n"}} -{"year": "2023", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an acute-angled triangle with \\(A B< A C\\) . Let \\(\\Omega\\) be the circumcircle of \\(A B C\\) . Let \\(S\\) be the midpoint of the arc \\(C B\\) of \\(\\Omega\\) containing \\(A\\) . The perpendicular from \\(A\\) to \\(B C\\) meets \\(B S\\) at \\(D\\) and meets \\(\\Omega\\) again at \\(E\\neq A\\) . The line through \\(D\\) parallel to \\(B C\\) meets line \\(B E\\) at \\(L\\) . Denote the circumcircle of triangle \\(B D L\\) by \\(\\omega\\) . Let \\(\\omega\\) meet \\(\\Omega\\) again at \\(P\\neq B\\) . Prove that the line tangent to \\(\\omega\\) at \\(P\\) meets line \\(B S\\) on the internal angle bisector of \\(\\angle B A C\\) .", "solution": "## Problem statemlaim — We have \\(LPS\\) collinear. \n\nProof. Because \\(\\angle LPB = \\angle LDB = \\angle CBD = \\angle CBS = \\angle SCB = \\angle SPB\\) . \\(\\square\\) \n\nLet \\(F\\) be the antipode of \\(A\\) , so \\(AMFS\\) is a rectangle. \n\nClaim — We have \\(PDF\\) collinear. (This lets us erase \\(L\\) .) \n\nProof. Because \\(\\angle SPD = \\angle LPD = \\angle LBD = \\angle SBE = \\angle FCS = \\angle FPS\\) . \\(\\square\\) \n\nLet us define \\(X = \\overline{AM} \\cap \\overline{BS}\\) and complete chord \\(\\overline{PXQ}\\) . We aim to show that \\(\\overline{PXQ}\\) is tangent to \\((PDLB)\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nClaim (Main projective claim) — We have \\(XP = XA\\) . \n\nProof. Introduce \\(Y = \\overline{PDF} \\cap \\overline{AM}\\) . Note that \n\n\\[-1 = (SM;EF) \\stackrel{A}{=} (S,X;D,\\overline{AF} \\cap \\overline{ES}) \\stackrel{E}{=} (\\infty X;YA)\\] \n\nwhere \\(\\infty = \\overline{AM} \\cap \\overline{SF}\\) is at infinity (because \\(AMSF\\) is a rectangle). Thus, \\(XY = XA\\) .\n\n\n![](data:image/jpeg;base64,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)\n \n\nSince \\(\\triangle APY\\) is also right, we get \\(XP = XA\\) . \n\nAlternative proof of claim without harmonic bundles, from Solution 9 of the marking scheme. With \\(Y = \\overline{PDF} \\cap \\overline{AM}\\) defined as before, note that \\(\\overline{AE} \\parallel \\overline{SM}\\) and \\(\\overline{AM} \\parallel \\overline{SF}\\) (as AMFS is a rectangle) gives respectively the similar triangles \n\n\\[\\triangle AXD\\sim \\triangle M X S,\\qquad \\triangle XDY\\sim \\triangle SDF.\\] \n\nFrom this we conclude \n\n\\[\\frac{AX}{XD} = \\frac{AX + XM}{XD + SX} = \\frac{AM}{SD} = \\frac{SF}{SD} = \\frac{XY}{XD}.\\] \n\nSo \\(AX = XY\\) and as before we conclude \\(XP = XA\\) . \n\nFrom \\(XP = XA\\) , we conclude that \\(\\widehat{PM}\\) and \\(\\widehat{AQ}\\) have the same measure. Since \\(\\widehat{AS}\\) and \\(\\widehat{EM}\\) have the same measure, it follows \\(\\widehat{PE}\\) and \\(\\widehat{SQ}\\) have the same measure. The desired tangency then follows from \n\n\\[\\angle QPL = \\angle QPS = \\angle PQE = \\angle PFE = \\angle PDL.\\] \n\nRemark (Logical ordering). This solution is split into two phases: the \"synthetic phase\" where we do a bunch of angle chasing, and the \"projective phase\" where we use cross- ratios because I like projective. For logical readability (so we write in only one logical direction), the projective phase is squeezed in two halves of the synthetic phase, but during an actual solve it's expected to complete the whole synthetic phase first (i.e. to reduce the problem to show \\(XP = XA\\) ). \n\nRemark. There are quite a multitude of approaches for this problem; the marking scheme for this problem at the actual IMO had 13 different solutions.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2023/2, proposed by Tiago Mourão and Nuno Arala (POR) \n"}} +{"year": "2023", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an acute-angled triangle with \\(A B< A C\\) . Let \\(\\Omega\\) be the circumcircle of \\(A B C\\) . Let \\(S\\) be the midpoint of the arc \\(C B\\) of \\(\\Omega\\) containing \\(A\\) . The perpendicular from \\(A\\) to \\(B C\\) meets \\(B S\\) at \\(D\\) and meets \\(\\Omega\\) again at \\(E\\neq A\\) . The line through \\(D\\) parallel to \\(B C\\) meets line \\(B E\\) at \\(L\\) . Denote the circumcircle of triangle \\(B D L\\) by \\(\\omega\\) . Let \\(\\omega\\) meet \\(\\Omega\\) again at \\(P\\neq B\\) . Prove that the line tangent to \\(\\omega\\) at \\(P\\) meets line \\(B S\\) on the internal angle bisector of \\(\\angle B A C\\) .", "solution": "## Problem statemlaim — We have \\(LPS\\) collinear. \n\nProof. Because \\(\\angle LPB = \\angle LDB = \\angle CBD = \\angle CBS = \\angle SCB = \\angle SPB\\) . \\(\\square\\) \n\nLet \\(F\\) be the antipode of \\(A\\) , so \\(AMFS\\) is a rectangle. \n\nClaim — We have \\(PDF\\) collinear. (This lets us erase \\(L\\) .) \n\nProof. Because \\(\\angle SPD = \\angle LPD = \\angle LBD = \\angle SBE = \\angle FCS = \\angle FPS\\) . \\(\\square\\) \n\nLet us define \\(X = \\overline{AM} \\cap \\overline{BS}\\) and complete chord \\(\\overline{PXQ}\\) . We aim to show that \\(\\overline{PXQ}\\) is tangent to \\((PDLB)\\) . \n\n![md5:7e0d0db34778aef897875aec0ca0bb2d](7e0d0db34778aef897875aec0ca0bb2d.jpeg)\n \n\nClaim (Main projective claim) — We have \\(XP = XA\\) . \n\nProof. Introduce \\(Y = \\overline{PDF} \\cap \\overline{AM}\\) . Note that \n\n\\[-1 = (SM;EF) \\stackrel{A}{=} (S,X;D,\\overline{AF} \\cap \\overline{ES}) \\stackrel{E}{=} (\\infty X;YA)\\] \n\nwhere \\(\\infty = \\overline{AM} \\cap \\overline{SF}\\) is at infinity (because \\(AMSF\\) is a rectangle). Thus, \\(XY = XA\\) .\n\n\n![md5:95f3f042434581fd3a06437cc856202b](95f3f042434581fd3a06437cc856202b.jpeg)\n \n\nSince \\(\\triangle APY\\) is also right, we get \\(XP = XA\\) . \n\nAlternative proof of claim without harmonic bundles, from Solution 9 of the marking scheme. With \\(Y = \\overline{PDF} \\cap \\overline{AM}\\) defined as before, note that \\(\\overline{AE} \\parallel \\overline{SM}\\) and \\(\\overline{AM} \\parallel \\overline{SF}\\) (as AMFS is a rectangle) gives respectively the similar triangles \n\n\\[\\triangle AXD\\sim \\triangle M X S,\\qquad \\triangle XDY\\sim \\triangle SDF.\\] \n\nFrom this we conclude \n\n\\[\\frac{AX}{XD} = \\frac{AX + XM}{XD + SX} = \\frac{AM}{SD} = \\frac{SF}{SD} = \\frac{XY}{XD}.\\] \n\nSo \\(AX = XY\\) and as before we conclude \\(XP = XA\\) . \n\nFrom \\(XP = XA\\) , we conclude that \\(\\widehat{PM}\\) and \\(\\widehat{AQ}\\) have the same measure. Since \\(\\widehat{AS}\\) and \\(\\widehat{EM}\\) have the same measure, it follows \\(\\widehat{PE}\\) and \\(\\widehat{SQ}\\) have the same measure. The desired tangency then follows from \n\n\\[\\angle QPL = \\angle QPS = \\angle PQE = \\angle PFE = \\angle PDL.\\] \n\nRemark (Logical ordering). This solution is split into two phases: the \"synthetic phase\" where we do a bunch of angle chasing, and the \"projective phase\" where we use cross- ratios because I like projective. For logical readability (so we write in only one logical direction), the projective phase is squeezed in two halves of the synthetic phase, but during an actual solve it's expected to complete the whole synthetic phase first (i.e. to reduce the problem to show \\(XP = XA\\) ). \n\nRemark. There are quite a multitude of approaches for this problem; the marking scheme for this problem at the actual IMO had 13 different solutions.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2023/2, proposed by Tiago Mourão and Nuno Arala (POR) \n"}} {"year": "2023", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "For each integer \\(k\\geq 2\\) , determine all infinite sequences of positive integers \\(a_{1}\\) , \\(a_{2}\\) , ... for which there exists a polynomial \\(P\\) of the form \n\n\\[P(x) = x^{k} + c_{k - 1}x^{k - 1} + \\dots +c_{1}x + c_{0},\\] \n\nwhere \\(c_{0}\\) , \\(c_{1}\\) , ..., \\(c_{k - 1}\\) are non-negative integers, such that \n\n\\[P(a_{n}) = a_{n + 1}a_{n + 2}\\cdot \\cdot \\cdot a_{n + k}\\] \n\nfor every integer \\(n\\geq 1\\)", "solution": "## Problem stateme \n\nThe answer is \\(a_{n}\\) being an arithmetic progression. Indeed, if \\(a_{n} = d(n - 1) + a_{1}\\) for \\(d \\geq 0\\) and \\(n \\geq 1\\) , then \n\n\\[a_{n + 1}a_{n + 2}\\dots a_{n + k} = (a_{n} + d)(a_{n} + 2d)\\dots (a_{n} + kd)\\] \n\nso we can just take \\(P(x) = (x + d)(x + 2d)\\dots (x + kd)\\) . \n\nThe converse direction takes a few parts. \n\nClaim — Either \\(a_{1} < a_{2} < \\dots\\) or the sequence is constant. \n\nProof. Note that \n\n\\[P(a_{n - 1}) = a_{n}a_{n + 1}\\dots a_{n + k - 1\\] \\[P(a_{n}) = a_{n + 1}a_{n + 2}\\dots a_{n + k\\] \\[\\implies a_{n + k} = \\frac{P(a_{n})}{P(a_{n - 1})}\\cdot a_{n}.\\] \n\nNow the polynomial \\(P\\) is strictly increasing over \\(\\mathbb{N}\\) . \n\nSo assume for contradiction there's an index \\(n\\) such that \\(a_{n} < a_{n - 1}\\) . Then in fact the above equation shows \\(a_{n + k} < a_{n} < a_{n - 1}\\) . Then there's an index \\(\\ell \\in [n + 1, n + k]\\) such that \\(a_{\\ell} < a_{\\ell - 1}\\) , and also \\(a_{\\ell} < a_{n}\\) . Continuing in this way, we can an infinite descending subsequence of \\((a_{n})\\) , but that's impossible because we assumed integers. \n\nHence we have \\(a_{1} \\leq a_{2} \\leq \\dots\\) . Now similarly, if \\(a_{n} = a_{n - 1}\\) for any index \\(n\\) , then \\(a_{n + k} = a_{n}\\) , ergo \\(a_{n - 1} = a_{n} = a_{n + 1} = \\dots = a_{n + k}\\) . So the sequence is eventually constant, and then by downwards induction, it is fully constant. \\(\\square\\) \n\nClaim — There exists a constant \\(C\\) (depending only \\(P\\) , \\(k\\) ) such that we have \\(a_{n + 1} \\leq a_{n} + C\\) . \n\nProof. Let \\(C\\) be a constant such that \\(P(x) < x^{k} + Cx^{k - 1}\\) for all \\(x \\in \\mathbb{N}\\) (for example \\(C = c_{0} + c_{1} + \\dots + c_{k - 1} + 1\\) works). We have \n\n\\[a_{n + k} = \\frac{P(a_{n})}{a_{n + 1}a_{n + 2}\\dots a_{n + k - 1}}\\]\n\n\n\n\\[< \\frac{P(a_{n})}{(a_{n} + 1)(a_{n} + 2)\\ldots(a_{n} + k - 1)}\\] \\[< \\frac{a_{n}^{k} + C\\cdot a_{n}^{k - 1}}{(a_{n} + 1)(a_{n} + 2)\\ldots(a_{n} + k - 1)}\\] \\[< a_{n} + C + 1.\\] \n\nAssume henceforth \\(a_{n}\\) is nonconstant, and hence unbounded. For each index \\(n\\) and term \\(a_{n}\\) in the sequence, consider the associated differences \\(d_{1} = a_{n + 1} - a_{n}\\) , \\(d_{2} = a_{n + 2} - a_{n + 1}\\) , ..., \\(d_{k} = a_{n + k} - a_{n + k - 1}\\) , which we denote by \n\n\\[\\Delta (n):= (d_{1},\\ldots ,d_{k}).\\] \n\nThis \\(\\Delta\\) can only take up to \\(C^{k}\\) different values. So in particular, some tuple \\((d_{1},\\ldots ,d_{n})\\) must appear infinitely often as \\(\\Delta (n)\\) ; for that tuple, we obtain \n\n\\[P(a_{N}) = (a_{N} + d_{1})(a_{N} + d_{1} + d_{2})\\ldots (a_{N} + d_{1} + \\dots +d_{k})\\] \n\nfor infinitely many \\(N\\) . But because of that, we actually must have \n\n\\[P(X) = (X + d_{1})(X + d_{1} + d_{2})\\ldots (X + d_{1} + \\dots +d_{k}).\\] \n\nHowever, this also means that exactly one output to \\(\\Delta\\) occurs infinitely often (because that output is determined by \\(P\\) ). Consequently, it follows that \\(\\Delta\\) is eventually constant. For this to happen, \\(a_{n}\\) must eventually coincide with an arithmetic progression of some common difference \\(d\\) , and \\(P(X) = (X + d)(X + 2d)\\ldots (X + kd)\\) . Finally, this implies by downwards induction that \\(a_{n}\\) is an arithmetic progression on all inputs.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2023/3, proposed by Ivan Chan (MAS) \n"}} {"year": "2023", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(x_{1}\\) , \\(x_{2}\\) , ..., \\(x_{2023}\\) be pairwise different positive real numbers such that \n\n\\[a_{n} = \\sqrt{(x_{1} + x_{2} + \\cdot \\cdot \\cdot + x_{n})\\left(\\frac{1}{x_{1}} +\\frac{1}{x_{2}} +\\cdot \\cdot \\cdot +\\frac{1}{x_{n}}\\right)}\\] \n\nis an integer for every \\(n = 1,2,\\ldots ,2023\\) . Prove that \\(a_{2023}\\geq 3034\\)", "solution": "Note that \\(a_{n + 1} > \\sqrt{\\sum_{1}^{n}x_{i}\\sum_{1}^{n}\\frac{1}{x_{i}}} = a_{n}\\) for all \\(n\\) , so that \\(a_{n + 1}\\geq a_{n} + 1\\) . Observe \\(a_{1} = 1\\) . We are going to prove that \n\n\\[a_{2m + 1}\\geq 3m + 1\\qquad \\mathrm{for~all~}m\\geq 0\\] \n\nby induction on \\(m\\) , with the base case being clear. \n\nWe now present two variations of the induction. The first shorter solution compares \\(a_{n + 2}\\) directly to \\(a_{n}\\) , showing it increases by at least 3. Then we give a longer approach that compares \\(a_{n + 1}\\) to \\(a_{n}\\) , and shows it cannot increase by 1 twice in a row. \n\n\\(\\P\\) Induct- by- two solution. Let \\(u = \\sqrt{\\frac{x_{n + 1}}{x_{n + 2}}}\\neq 1\\) . Note that by using Cauchy- Schwarz with three terms: \n\n\\[a_{n + 2}^{2} = \\left[(x_{1} + \\dots +x_{n}) + x_{n + 1} + x_{n + 2}\\right]\\left[\\left(\\frac{1}{x_{1}} +\\dots +\\frac{1}{x_{n}}\\right) + \\frac{1}{x_{n + 2}} +\\frac{1}{x_{n + 1}}\\right]\\] \\[\\qquad \\geq \\left(\\sqrt{(x_{1} + \\dots +x_{n})\\left(\\frac{1}{x_{1}} +\\dots +\\frac{1}{x_{n}}\\right)} +\\sqrt{\\frac{x_{n + 1}}{x_{n + 2}}} +\\sqrt{\\frac{x_{n + 2}}{x_{n + 1}}}\\right)^{2}\\] \\[\\qquad = \\left(a_{n} + u + \\frac{1}{u}\\right)^{2}.\\] \\[\\Rightarrow a_{n + 2}\\geq a_{n} + u + \\frac{1}{u} >a_{n} + 2\\] \n\nwhere the last equality \\(u + \\frac{1}{u} >2\\) is by AM- GM, strict as \\(u\\neq 1\\) . It follows that \\(a_{n + 2}\\geq a_{n} + 3\\) , completing the proof. \n\n\\(\\P\\) Induct- by- one solution. The main claim is: \n\nClaim — It's impossible to have \\(a_{n} = c\\) , \\(a_{n + 1} = c + 1\\) , \\(a_{n + 2} = c + 2\\) for any \\(c\\) and \\(n\\) . \n\nProof. Let \\(p = x_{n + 1}\\) and \\(q = x_{n + 2}\\) for brevity. Let \\(s = \\sum_{1}^{n}x_{i}\\) and \\(t = \\sum_{1}^{n}\\frac{1}{x_{n}}\\) , so \\(c^{2} = a_{n}^{2} = st\\) . \n\nFrom \\(a_{n} = c\\) and \\(a_{n + 1} = c + 1\\) we have \n\n\\[(c + 1)^{2} = a_{n + 1}^{2} = (p + s)\\left(\\frac{1}{p} +t\\right)\\]\n\n\n\n\\[= s t + p t + \\frac{1}{p} s + 1 = c^{2} + p t + \\frac{1}{p} s + 1\\] \\[\\overset {\\mathrm{AM - GM}}{\\geq} c^{2} + 2\\sqrt{s t} + 1 = c^{2} + 2\\sqrt{c^{2}} + 1 = (c + 1)^{2}.\\] \n\nHence, equality must hold in the AM- GM we must have exactly \n\n\\[p t = \\frac{1}{p} s = c.\\] \n\nIf we repeat the argument again on \\(a_{n + 1} = c + 1\\) and \\(a_{n + 2} = c + 2\\) , then \n\n\\[q\\left(\\frac{1}{p} +t\\right) = \\frac{1}{q} (p + s) = c + 1.\\] \n\nHowever this forces \\(\\frac{p}{q} = \\frac{q}{p} = 1\\) which is impossible.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2023/4, proposed by Merlijn Staps (NLD) \n"}} -{"year": "2023", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. A Japanese triangle consists of \\(1 + 2 + \\dots +n\\) circles arranged in an equilateral triangular shape such that for each \\(1\\leq i\\leq n\\) , the \\(i^{\\mathrm{th}}\\) row contains exactly \\(i\\) circles, exactly one of which is colored red. A ninja path in a Japanese triangle is a sequence of \\(n\\) circles obtained by starting in the top row, then repeatedly going from a circle to one of the two circles immediately below it and finishing in the bottom row. Here is an example of a Japanese triangle with \\(n = 6\\) , along with a ninja path in that triangle containing two red circles. \n\n![](data:image/jpeg;base64,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)\n \n\nIn terms of \\(n\\) , find the greatest \\(k\\) such that in each Japanese triangle there is a ninja path containing at least \\(k\\) red circles.", "solution": "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)\n \n\nIn terms of \\(n\\) , find the greatest \\(k\\) such that in each Japanese triangle there is a ninja path containing at least \\(k\\) red circles. \n\nThe answer is \n\n\\[k = \\lfloor \\log_2(n)\\rfloor +1.\\] \n\nConstruction. It suffices to find a Japanese triangle for \\(n = 2^{e} - 1\\) with the property that at most \\(e\\) red circles in any ninja path. The construction shown below for \\(e = 4\\) obviously generalizes, and works because in each of the sets \\(\\{1\\}\\) , \\(\\{2,3\\}\\) , \\(\\{4,5,6,7\\}\\) , ..., \\(\\{2^{e - 1}, \\ldots , 2^{e} - 1\\}\\) , at most one red circle can be taken. (These sets are colored in different shades of red for visual clarity). \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nBound. Conversely, we show that in any Japanese triangle, one can find a ninja path containing at least \n\n\\[k = \\lfloor \\log_2(n)\\rfloor +1.\\] \n\nThe following short solution was posted at https://aops.com/community/p28134004, apparently first found by the team leader for Iran. \n\nWe construct a rooted binary tree \\(T_{1}\\) on the set of all circles as follows. For each row, other than the bottom row: \n\nConnect the red circle to both circles under it; White circles to the left of the red circle in its row are connected to the left; White circles to the right of the red circle in its row are connected to the right. \n\nThe circles in the bottom row are all leaves of this tree. For example, the \\(n = 6\\) construction in the beginning gives the tree shown on the left half of the figure below: \n\n![](data:image/jpeg;base64,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)\n \n\nNow focus on only the red circles, as shown in the right half of the figure. We build a new rooted tree \\(T_{2}\\) where each red circle is joined to the red circle below it if there was a path of (zero or more) white circles in \\(T_{1}\\) between them. Then each red circle has at most 2 direct descendants in \\(T_{2}\\) . Hence the depth of the new tree \\(T_{2}\\) exceeds \\(\\log_2(n)\\) , which produces the desired path. \n\nAnother recursive proof of bound, communicated by Helio Ng. We give another proof that \\(\\lfloor \\log_2n\\rfloor +1\\) is always achievable. Define \\(f(i,j)\\) to be the maximum number of red circles contained in the portion of a ninja path from \\((1,1)\\) to \\((i,j)\\) , including the endpoints \\((1,1)\\) and \\((i,j)\\) . (If \\((i,j)\\) is not a valid circle in the triangle, define \\(f(i,j) = 0\\) for convenience.) An example is shown below with the values of \\(f(i,j)\\) drawn in the circles. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nWe have that \n\n\\[f(i,j) = \\max \\left\\{f(i - 1,j - 1),f(i,j - 1)\\right\\} +\\left\\{ \\begin{array}{l l}{1} & {\\mathrm{if~}(i,j)\\mathrm{~is~red~}}\\\\ {0} & {\\mathrm{otherwise}} \\end{array} \\right.\\] \n\nsince every ninja path passing through \\((i,j)\\) also passes through either \\((i - 1,j - 1)\\) or \\((i,j - 1)\\) . Now consider the quantity \\(S_{j} = f(0,j) + \\dots +f(j,j)\\) . We obtain the following recurrence: \n\n\\[\\mathrm{Claim} - S_{j + 1}\\geq S_{j} + \\left\\lceil \\frac{S_{j}}{j}\\right\\rceil +1.\\] \n\nProof. Consider a maximal element \\(f(m,j)\\) of \\(\\{f(0,j),\\ldots ,f(j,j)\\}\\) . We perform the following manipulations: \n\n\\[S_{j + 1} = \\sum_{i = 0}^{j + 1}\\max \\left\\{f(i - 1,j),f(i,j)\\right\\} +\\sum_{i = 0}^{j + 1}\\left\\{ \\begin{array}{l l}{1} & {\\mathrm{if~}(i,j + 1)\\mathrm{~is~red~}}\\\\ {0} & {\\mathrm{otherwise}} \\end{array} \\right.\\] \\[\\quad = \\sum_{i = 0}^{m}\\max \\left\\{f(i - 1,j),f(i,j)\\right\\} +\\sum_{i = m + 1}^{j}\\max \\left\\{f(i - 1,j),f(i,j)\\right\\} +1\\] \\[\\quad \\geq \\sum_{i = 0}^{m}f(i,j) + \\sum_{i = m + 1}^{j}f(i - 1,j) + 1\\] \\[\\quad = S_{j} + f(m,j) + 1\\] \\[\\quad \\geq S_{j} + \\left\\lceil \\frac{S_{j}}{j}\\right\\rceil +1\\] \n\nwhere the last inequality is due to Pigeonhole. \n\nThis is actually enough to solve the problem. Write \\(n = 2^{c} + r\\) , where \\(0 \\leq r \\leq 2^{c} - 1\\) . \n\nClaim — \\(S_{n} \\geq cn + 2r + 1\\) . In particular, \\(\\left\\lceil \\frac{S_{n}}{n} \\right\\rceil \\geq c + 1\\) . \n\nProof. First note that \\(S_{n} \\geq cn + 2r + 1\\) implies \\(\\left\\lceil \\frac{S_{n}}{n} \\right\\rceil \\geq c + 1\\) because \n\n\\[\\left\\lceil \\frac{S_{n}}{n}\\right\\rceil \\geq \\left\\lceil \\frac{cn + 2r + 1}{n}\\right\\rceil = c + \\left\\lceil \\frac{2r + 1}{n}\\right\\rceil = c + 1.\\] \n\nWe proceed by induction on \\(n\\) . The base case \\(n = 1\\) is clearly true as \\(S_{1} = 1\\) . Assuming that the claim holds for some \\(n = j\\) , we have \n\n\\[S_{j + 1}\\geq S_{j} + \\left\\lceil \\frac{S_{j}}{j}\\right\\rceil +1\\] \\[\\qquad \\geq cj + 2r + 1 + c + 1 + 1\\] \\[\\qquad = c(j + 1) + 2(r + 1) + 1\\] \n\nso the claim is proved for \\(n = j + 1\\) if \\(j + 1\\) is not a power of 2. If \\(j + 1 = 2^{c + 1}\\) , then by writing \\(c(j + 1) + 2(r + 1) + 1 = c(j + 1) + (j + 1) + 1 = (c + 2)(j + 1) + 1\\) , the claim is also proved. \\(\\square\\) \n\nNow \\(\\left\\lceil \\frac{S_{n}}{n}\\right\\rceil \\geq c + 1\\) implies the existence of some ninja path containing at least \\(c + 1\\) red circles, and we are done.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2023/5, proposed by Merlijn Staps and Daniël Kroes (NLD) \n"}} -{"year": "2023", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an equilateral triangle. Let \\(A_{1}\\) , \\(B_{1}\\) , \\(C_{1}\\) be interior points of \\(A B C\\) such that \\(B A_{1} = A_{1}C\\) , \\(C B_{1} = B_{1}A\\) , \\(A C_{1} = C_{1}B\\) , and \n\n\\[\\angle B A_{1}C + \\angle C B_{1}A + \\angle A C_{1}B = 480^{\\circ}.\\]\n\n\n\nLet \\(A_{2} = \\overline{BC_{1}} \\cap \\overline{CB_{1}}\\) , \\(B_{2} = \\overline{CA_{1}} \\cap \\overline{AC_{1}}\\) , \\(C_{2} = \\overline{AB_{1}} \\cap \\overline{BA_{1}}\\) . Prove that if triangle \\(A_{1}B_{1}C_{1}\\) is scalene, then the circumcircles of triangles \\(AA_{1}A_{2}\\) , \\(BB_{1}B_{2}\\) , and \\(CC_{1}C_{2}\\) all pass through two common points.", "solution": "Lts. \n\nThis is the second official solution from the marking scheme, also communicated to me by Michael Ren. Define \\(O\\) as the center of \\(A B C\\) and set the angles \n\n\\[\\alpha := \\angle A_{1}C B = \\angle C B A_{1}\\] \\[\\beta := \\angle A C B_{1} = \\angle B_{1}A C\\] \\[\\gamma := \\angle C_{1}A B = \\angle C_{1}B A\\] \n\nso that \n\n\\[\\alpha +\\beta +\\gamma = 30^{\\circ}.\\] \n\nIn particular, \\(\\max (\\alpha ,\\beta ,\\gamma)< 30^{\\circ}\\) , so it follows that \\(A_{1}\\) lies inside \\(\\triangle O B C\\) , and similarly for the others. This means for example that \\(C_{1}\\) lies between \\(B\\) and \\(A_{2}\\) , and so on. Therefore the polygon \\(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\\) is convex.\n\n\n![](data:image/jpeg;base64,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)\n \n\nWe start by providing the \"interpretation\" for the \\(480^{\\circ}\\) angle in the statement: \n\nClaim — Point \\(A_{1}\\) is the circumcenter of \\(\\triangle A_{2}BC\\) , and similarly for the others. \n\nProof. We have \\(\\angle B A_{1}C = 180^{\\circ} - 2\\alpha\\) , and \n\n\\[\\angle B A_{2}C = 180^{\\circ} - \\angle C B C_{1} - \\angle B_{1}C B\\] \\[\\qquad = 180^{\\circ} - (60^{\\circ} - \\gamma) - (60^{\\circ} - \\beta)\\] \\[\\qquad = 60^{\\circ} + \\beta +\\gamma = 90^{\\circ} - \\alpha = \\frac{1}{2}\\angle B A_{1}C.\\] \n\nSince \\(A_{1}\\) lies inside \\(\\triangle B A_{2}C\\) , it follows \\(A_{1}\\) is exactly the circumcenter. \n\nClaim — Quadrilateral \\(B_{2}C_{1}B_{1}C\\) can be inscribed in a circle, say \\(\\gamma_{a}\\) . Circles \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) can be defined similarly. Finally, these three circles are pairwise distinct. \n\nProof. Using directed angles now, we have \n\n\\[\\angle B_{2}B_{1}C_{2} = 180^{\\circ} - \\angle A B_{1}B_{2} = 180^{\\circ} - 2\\angle A C B = 180^{\\circ} - 2(60^{\\circ} - \\alpha) = 60^{\\circ} + 2\\alpha .\\] \n\nBy the same token, \\(\\angle B_{2}C_{1}C_{2} = 60^{\\circ} + 2\\alpha\\) . This establishes the existence of \\(\\gamma_{a}\\) . \n\nThe proof for \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) is the same. Finally, to show the three circles are distinct, it would be enough to verify that the convex hexagon \\(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\\) is not cyclic.\n\n\n\nAssume for contradiction it was cyclic. Then \n\n\\[360^{\\circ} = \\angle C_{2}A_{1}B_{2} + \\angle B_{2}C_{1}A_{2} + \\angle A_{2}B_{1}C_{2} = \\angle B A_{1}C + \\angle C B_{1}A + \\angle A C_{1}B = 480^{\\circ}\\] \n\nwhich is absurd. This contradiction eliminates the degenerate case, so the three circles are distinct. \\(\\square\\) \n\nFor the remainder of the solution, let \\(\\mathrm{Pow}(P,\\omega)\\) denote the power of a point \\(P\\) with respect to a circle \\(\\omega\\) . \n\nLet line \\(A A_{1}\\) meet \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) again at \\(X\\) and \\(Y\\) , and set \\(k_{a}:= \\frac{A X}{A Y}\\) . Consider the locus of all points \\(P\\) such that \n\n\\[\\mathcal{C}_{a}:= \\Big\\{\\mathrm{points} P\\mathrm{in}\\mathrm{the}\\mathrm{plane}\\mathrm{satisfying}\\mathrm{Pow}(P,\\gamma_{b}) = k_{a}\\mathrm{Pow}(P,\\gamma_{c})\\Big\\} .\\] \n\nWe recall the coaxiality lemma \\(^{1}\\) , which states that (given \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) are not concentric) the locus \\(\\mathcal{C}_{a}\\) must be either a circle (if \\(k_{a}\\neq 1\\) ) or a line (if \\(k_{a} = 1\\) ). \n\nOn the other hand, \\(A_{1}\\) , \\(A_{2}\\) , and \\(A\\) all obviously lie on \\(\\mathcal{C}_{a}\\) . (For \\(A_{1}\\) and \\(A_{2}\\) , the powers are both zero, and for the point \\(A\\) , we have \\(\\mathrm{Pow}(P,\\gamma_{b}) = AX\\cdot AA_{1}\\) and \\(\\mathrm{Pow}(P,\\gamma_{c}) = AY\\cdot AA_{1}\\) .) So \\(\\mathcal{C}_{a}\\) must be exactly the circumcircle of \\(\\triangle AA_{1}A_{2}\\) from the problem statement. \n\nWe turn to evaluating \\(k_{a}\\) more carefully. First, note that \n\n\\[\\angle A_{1}X B_{1} = \\angle A_{1}B_{2}B_{1} = \\angle C B_{2}B_{1} = 90^{\\circ} - \\angle B_{2}A C = 90^{\\circ} - (60^{\\circ} - \\gamma) = 30^{\\circ} + \\gamma .\\] \n\nNow using the law of sines, we derive \n\n\\[\\frac{A X}{A B_{1}} = \\frac{\\sin\\angle A B_{1}X}{\\sin\\angle A X B_{1}} = \\frac{\\sin(\\angle A_{1}X B_{1} - \\angle X A B_{1})}{\\sin\\angle A_{1}X B_{1}}\\] \\[\\qquad = \\frac{\\sin((30^{\\circ} + \\gamma) - (30^{\\circ} - \\beta))}{\\sin(30^{\\circ} + \\gamma)} = \\frac{\\sin(\\beta + \\gamma)}{\\sin(30^{\\circ} + \\gamma)}.\\] \n\nSimilarly, \\(A Y = A C_{1}\\cdot \\frac{\\sin(\\beta + \\gamma)}{\\sin(30^{\\circ} + \\beta)}\\) , so \n\n\\[k_{a} = \\frac{A X}{A Y} = \\frac{A B_{1}}{A C_{1}}\\cdot \\frac{\\sin(30^{\\circ} + \\beta)}{\\sin(30^{\\circ} + \\gamma)}.\\] \n\nNow define analogous constants \\(k_{b}\\) and \\(k_{c}\\) and circles \\(\\mathcal{C}_{b}\\) and \\(\\mathcal{C}_{c}\\) . Owing to the symmetry of the expressions, we have the key relation \n\n\\[k_{a}k_{b}k_{c} = 1.\\] \n\nIn summary, the three circles in the problem statement may be described as \n\n\\[\\mathcal{C}_{a} = (A A_{1}A_{2}) = \\{\\mathrm{points} P\\mathrm{such}\\mathrm{that}\\mathrm{Pow}(P,\\gamma_{b}) = k_{a}\\mathrm{Pow}(P,\\gamma_{c})\\}\\] \\[\\mathcal{C}_{b} = (B B_{1}B_{2}) = \\{\\mathrm{points} P\\mathrm{such}\\mathrm{that}\\mathrm{Pow}(P,\\gamma_{c}) = k_{b}\\mathrm{Pow}(P,\\gamma_{a})\\}\\] \\[\\mathcal{C}_{c} = (C C_{1}C_{2}) = \\{\\mathrm{points} P\\mathrm{such}\\mathrm{that}\\mathrm{Pow}(P,\\gamma_{a}) = k_{c}\\mathrm{Pow}(P,\\gamma_{b})\\} .\\] \n\nSince \\(k_{a}\\) , \\(k_{b}\\) , \\(k_{c}\\) have product 1, it follows that any point on at least two of the circles must lie on the third circle as well. The convexity of hexagon \\(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\\) mentioned earlier ensures these any two of these circles do intersect at two different points, completing the solution.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2023/6, proposed by Ankan Bhattacharya, Luke Robitaille (USA) \n"}} +{"year": "2023", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. A Japanese triangle consists of \\(1 + 2 + \\dots +n\\) circles arranged in an equilateral triangular shape such that for each \\(1\\leq i\\leq n\\) , the \\(i^{\\mathrm{th}}\\) row contains exactly \\(i\\) circles, exactly one of which is colored red. A ninja path in a Japanese triangle is a sequence of \\(n\\) circles obtained by starting in the top row, then repeatedly going from a circle to one of the two circles immediately below it and finishing in the bottom row. Here is an example of a Japanese triangle with \\(n = 6\\) , along with a ninja path in that triangle containing two red circles. \n\n![md5:9da4eaa978631cb5dd08f5eafa39675f](9da4eaa978631cb5dd08f5eafa39675f.jpeg)\n \n\nIn terms of \\(n\\) , find the greatest \\(k\\) such that in each Japanese triangle there is a ninja path containing at least \\(k\\) red circles.", "solution": "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)\n \n\nIn terms of \\(n\\) , find the greatest \\(k\\) such that in each Japanese triangle there is a ninja path containing at least \\(k\\) red circles. \n\nThe answer is \n\n\\[k = \\lfloor \\log_2(n)\\rfloor +1.\\] \n\nConstruction. It suffices to find a Japanese triangle for \\(n = 2^{e} - 1\\) with the property that at most \\(e\\) red circles in any ninja path. The construction shown below for \\(e = 4\\) obviously generalizes, and works because in each of the sets \\(\\{1\\}\\) , \\(\\{2,3\\}\\) , \\(\\{4,5,6,7\\}\\) , ..., \\(\\{2^{e - 1}, \\ldots , 2^{e} - 1\\}\\) , at most one red circle can be taken. (These sets are colored in different shades of red for visual clarity). \n\n![md5:49560cf9817747f6e465064b3a413b3e](49560cf9817747f6e465064b3a413b3e.jpeg)\n\n\n\n\nBound. Conversely, we show that in any Japanese triangle, one can find a ninja path containing at least \n\n\\[k = \\lfloor \\log_2(n)\\rfloor +1.\\] \n\nThe following short solution was posted at https://aops.com/community/p28134004, apparently first found by the team leader for Iran. \n\nWe construct a rooted binary tree \\(T_{1}\\) on the set of all circles as follows. For each row, other than the bottom row: \n\nConnect the red circle to both circles under it; White circles to the left of the red circle in its row are connected to the left; White circles to the right of the red circle in its row are connected to the right. \n\nThe circles in the bottom row are all leaves of this tree. For example, the \\(n = 6\\) construction in the beginning gives the tree shown on the left half of the figure below: \n\n![md5:b8b66fcf67f95f6123c131225cd2b2d8](b8b66fcf67f95f6123c131225cd2b2d8.jpeg)\n \n\nNow focus on only the red circles, as shown in the right half of the figure. We build a new rooted tree \\(T_{2}\\) where each red circle is joined to the red circle below it if there was a path of (zero or more) white circles in \\(T_{1}\\) between them. Then each red circle has at most 2 direct descendants in \\(T_{2}\\) . Hence the depth of the new tree \\(T_{2}\\) exceeds \\(\\log_2(n)\\) , which produces the desired path. \n\nAnother recursive proof of bound, communicated by Helio Ng. We give another proof that \\(\\lfloor \\log_2n\\rfloor +1\\) is always achievable. Define \\(f(i,j)\\) to be the maximum number of red circles contained in the portion of a ninja path from \\((1,1)\\) to \\((i,j)\\) , including the endpoints \\((1,1)\\) and \\((i,j)\\) . (If \\((i,j)\\) is not a valid circle in the triangle, define \\(f(i,j) = 0\\) for convenience.) An example is shown below with the values of \\(f(i,j)\\) drawn in the circles. \n\n![md5:c224e1d6dd4bbbfcc2788d3977b0b4d1](c224e1d6dd4bbbfcc2788d3977b0b4d1.jpeg)\n\n\n\n\nWe have that \n\n\\[f(i,j) = \\max \\left\\{f(i - 1,j - 1),f(i,j - 1)\\right\\} +\\left\\{ \\begin{array}{l l}{1} & {\\mathrm{if~}(i,j)\\mathrm{~is~red~}}\\\\ {0} & {\\mathrm{otherwise}} \\end{array} \\right.\\] \n\nsince every ninja path passing through \\((i,j)\\) also passes through either \\((i - 1,j - 1)\\) or \\((i,j - 1)\\) . Now consider the quantity \\(S_{j} = f(0,j) + \\dots +f(j,j)\\) . We obtain the following recurrence: \n\n\\[\\mathrm{Claim} - S_{j + 1}\\geq S_{j} + \\left\\lceil \\frac{S_{j}}{j}\\right\\rceil +1.\\] \n\nProof. Consider a maximal element \\(f(m,j)\\) of \\(\\{f(0,j),\\ldots ,f(j,j)\\}\\) . We perform the following manipulations: \n\n\\[S_{j + 1} = \\sum_{i = 0}^{j + 1}\\max \\left\\{f(i - 1,j),f(i,j)\\right\\} +\\sum_{i = 0}^{j + 1}\\left\\{ \\begin{array}{l l}{1} & {\\mathrm{if~}(i,j + 1)\\mathrm{~is~red~}}\\\\ {0} & {\\mathrm{otherwise}} \\end{array} \\right.\\] \\[\\quad = \\sum_{i = 0}^{m}\\max \\left\\{f(i - 1,j),f(i,j)\\right\\} +\\sum_{i = m + 1}^{j}\\max \\left\\{f(i - 1,j),f(i,j)\\right\\} +1\\] \\[\\quad \\geq \\sum_{i = 0}^{m}f(i,j) + \\sum_{i = m + 1}^{j}f(i - 1,j) + 1\\] \\[\\quad = S_{j} + f(m,j) + 1\\] \\[\\quad \\geq S_{j} + \\left\\lceil \\frac{S_{j}}{j}\\right\\rceil +1\\] \n\nwhere the last inequality is due to Pigeonhole. \n\nThis is actually enough to solve the problem. Write \\(n = 2^{c} + r\\) , where \\(0 \\leq r \\leq 2^{c} - 1\\) . \n\nClaim — \\(S_{n} \\geq cn + 2r + 1\\) . In particular, \\(\\left\\lceil \\frac{S_{n}}{n} \\right\\rceil \\geq c + 1\\) . \n\nProof. First note that \\(S_{n} \\geq cn + 2r + 1\\) implies \\(\\left\\lceil \\frac{S_{n}}{n} \\right\\rceil \\geq c + 1\\) because \n\n\\[\\left\\lceil \\frac{S_{n}}{n}\\right\\rceil \\geq \\left\\lceil \\frac{cn + 2r + 1}{n}\\right\\rceil = c + \\left\\lceil \\frac{2r + 1}{n}\\right\\rceil = c + 1.\\] \n\nWe proceed by induction on \\(n\\) . The base case \\(n = 1\\) is clearly true as \\(S_{1} = 1\\) . Assuming that the claim holds for some \\(n = j\\) , we have \n\n\\[S_{j + 1}\\geq S_{j} + \\left\\lceil \\frac{S_{j}}{j}\\right\\rceil +1\\] \\[\\qquad \\geq cj + 2r + 1 + c + 1 + 1\\] \\[\\qquad = c(j + 1) + 2(r + 1) + 1\\] \n\nso the claim is proved for \\(n = j + 1\\) if \\(j + 1\\) is not a power of 2. If \\(j + 1 = 2^{c + 1}\\) , then by writing \\(c(j + 1) + 2(r + 1) + 1 = c(j + 1) + (j + 1) + 1 = (c + 2)(j + 1) + 1\\) , the claim is also proved. \\(\\square\\) \n\nNow \\(\\left\\lceil \\frac{S_{n}}{n}\\right\\rceil \\geq c + 1\\) implies the existence of some ninja path containing at least \\(c + 1\\) red circles, and we are done.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2023/5, proposed by Merlijn Staps and Daniël Kroes (NLD) \n"}} +{"year": "2023", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Let \\(A B C\\) be an equilateral triangle. Let \\(A_{1}\\) , \\(B_{1}\\) , \\(C_{1}\\) be interior points of \\(A B C\\) such that \\(B A_{1} = A_{1}C\\) , \\(C B_{1} = B_{1}A\\) , \\(A C_{1} = C_{1}B\\) , and \n\n\\[\\angle B A_{1}C + \\angle C B_{1}A + \\angle A C_{1}B = 480^{\\circ}.\\]\n\n\n\nLet \\(A_{2} = \\overline{BC_{1}} \\cap \\overline{CB_{1}}\\) , \\(B_{2} = \\overline{CA_{1}} \\cap \\overline{AC_{1}}\\) , \\(C_{2} = \\overline{AB_{1}} \\cap \\overline{BA_{1}}\\) . Prove that if triangle \\(A_{1}B_{1}C_{1}\\) is scalene, then the circumcircles of triangles \\(AA_{1}A_{2}\\) , \\(BB_{1}B_{2}\\) , and \\(CC_{1}C_{2}\\) all pass through two common points.", "solution": "Lts. \n\nThis is the second official solution from the marking scheme, also communicated to me by Michael Ren. Define \\(O\\) as the center of \\(A B C\\) and set the angles \n\n\\[\\alpha := \\angle A_{1}C B = \\angle C B A_{1}\\] \\[\\beta := \\angle A C B_{1} = \\angle B_{1}A C\\] \\[\\gamma := \\angle C_{1}A B = \\angle C_{1}B A\\] \n\nso that \n\n\\[\\alpha +\\beta +\\gamma = 30^{\\circ}.\\] \n\nIn particular, \\(\\max (\\alpha ,\\beta ,\\gamma)< 30^{\\circ}\\) , so it follows that \\(A_{1}\\) lies inside \\(\\triangle O B C\\) , and similarly for the others. This means for example that \\(C_{1}\\) lies between \\(B\\) and \\(A_{2}\\) , and so on. Therefore the polygon \\(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\\) is convex.\n\n\n![md5:e37c2a042717b83d866f17db96e4dfd2](e37c2a042717b83d866f17db96e4dfd2.jpeg)\n \n\nWe start by providing the \"interpretation\" for the \\(480^{\\circ}\\) angle in the statement: \n\nClaim — Point \\(A_{1}\\) is the circumcenter of \\(\\triangle A_{2}BC\\) , and similarly for the others. \n\nProof. We have \\(\\angle B A_{1}C = 180^{\\circ} - 2\\alpha\\) , and \n\n\\[\\angle B A_{2}C = 180^{\\circ} - \\angle C B C_{1} - \\angle B_{1}C B\\] \\[\\qquad = 180^{\\circ} - (60^{\\circ} - \\gamma) - (60^{\\circ} - \\beta)\\] \\[\\qquad = 60^{\\circ} + \\beta +\\gamma = 90^{\\circ} - \\alpha = \\frac{1}{2}\\angle B A_{1}C.\\] \n\nSince \\(A_{1}\\) lies inside \\(\\triangle B A_{2}C\\) , it follows \\(A_{1}\\) is exactly the circumcenter. \n\nClaim — Quadrilateral \\(B_{2}C_{1}B_{1}C\\) can be inscribed in a circle, say \\(\\gamma_{a}\\) . Circles \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) can be defined similarly. Finally, these three circles are pairwise distinct. \n\nProof. Using directed angles now, we have \n\n\\[\\angle B_{2}B_{1}C_{2} = 180^{\\circ} - \\angle A B_{1}B_{2} = 180^{\\circ} - 2\\angle A C B = 180^{\\circ} - 2(60^{\\circ} - \\alpha) = 60^{\\circ} + 2\\alpha .\\] \n\nBy the same token, \\(\\angle B_{2}C_{1}C_{2} = 60^{\\circ} + 2\\alpha\\) . This establishes the existence of \\(\\gamma_{a}\\) . \n\nThe proof for \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) is the same. Finally, to show the three circles are distinct, it would be enough to verify that the convex hexagon \\(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\\) is not cyclic.\n\n\n\nAssume for contradiction it was cyclic. Then \n\n\\[360^{\\circ} = \\angle C_{2}A_{1}B_{2} + \\angle B_{2}C_{1}A_{2} + \\angle A_{2}B_{1}C_{2} = \\angle B A_{1}C + \\angle C B_{1}A + \\angle A C_{1}B = 480^{\\circ}\\] \n\nwhich is absurd. This contradiction eliminates the degenerate case, so the three circles are distinct. \\(\\square\\) \n\nFor the remainder of the solution, let \\(\\mathrm{Pow}(P,\\omega)\\) denote the power of a point \\(P\\) with respect to a circle \\(\\omega\\) . \n\nLet line \\(A A_{1}\\) meet \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) again at \\(X\\) and \\(Y\\) , and set \\(k_{a}:= \\frac{A X}{A Y}\\) . Consider the locus of all points \\(P\\) such that \n\n\\[\\mathcal{C}_{a}:= \\Big\\{\\mathrm{points} P\\mathrm{in}\\mathrm{the}\\mathrm{plane}\\mathrm{satisfying}\\mathrm{Pow}(P,\\gamma_{b}) = k_{a}\\mathrm{Pow}(P,\\gamma_{c})\\Big\\} .\\] \n\nWe recall the coaxiality lemma \\(^{1}\\) , which states that (given \\(\\gamma_{b}\\) and \\(\\gamma_{c}\\) are not concentric) the locus \\(\\mathcal{C}_{a}\\) must be either a circle (if \\(k_{a}\\neq 1\\) ) or a line (if \\(k_{a} = 1\\) ). \n\nOn the other hand, \\(A_{1}\\) , \\(A_{2}\\) , and \\(A\\) all obviously lie on \\(\\mathcal{C}_{a}\\) . (For \\(A_{1}\\) and \\(A_{2}\\) , the powers are both zero, and for the point \\(A\\) , we have \\(\\mathrm{Pow}(P,\\gamma_{b}) = AX\\cdot AA_{1}\\) and \\(\\mathrm{Pow}(P,\\gamma_{c}) = AY\\cdot AA_{1}\\) .) So \\(\\mathcal{C}_{a}\\) must be exactly the circumcircle of \\(\\triangle AA_{1}A_{2}\\) from the problem statement. \n\nWe turn to evaluating \\(k_{a}\\) more carefully. First, note that \n\n\\[\\angle A_{1}X B_{1} = \\angle A_{1}B_{2}B_{1} = \\angle C B_{2}B_{1} = 90^{\\circ} - \\angle B_{2}A C = 90^{\\circ} - (60^{\\circ} - \\gamma) = 30^{\\circ} + \\gamma .\\] \n\nNow using the law of sines, we derive \n\n\\[\\frac{A X}{A B_{1}} = \\frac{\\sin\\angle A B_{1}X}{\\sin\\angle A X B_{1}} = \\frac{\\sin(\\angle A_{1}X B_{1} - \\angle X A B_{1})}{\\sin\\angle A_{1}X B_{1}}\\] \\[\\qquad = \\frac{\\sin((30^{\\circ} + \\gamma) - (30^{\\circ} - \\beta))}{\\sin(30^{\\circ} + \\gamma)} = \\frac{\\sin(\\beta + \\gamma)}{\\sin(30^{\\circ} + \\gamma)}.\\] \n\nSimilarly, \\(A Y = A C_{1}\\cdot \\frac{\\sin(\\beta + \\gamma)}{\\sin(30^{\\circ} + \\beta)}\\) , so \n\n\\[k_{a} = \\frac{A X}{A Y} = \\frac{A B_{1}}{A C_{1}}\\cdot \\frac{\\sin(30^{\\circ} + \\beta)}{\\sin(30^{\\circ} + \\gamma)}.\\] \n\nNow define analogous constants \\(k_{b}\\) and \\(k_{c}\\) and circles \\(\\mathcal{C}_{b}\\) and \\(\\mathcal{C}_{c}\\) . Owing to the symmetry of the expressions, we have the key relation \n\n\\[k_{a}k_{b}k_{c} = 1.\\] \n\nIn summary, the three circles in the problem statement may be described as \n\n\\[\\mathcal{C}_{a} = (A A_{1}A_{2}) = \\{\\mathrm{points} P\\mathrm{such}\\mathrm{that}\\mathrm{Pow}(P,\\gamma_{b}) = k_{a}\\mathrm{Pow}(P,\\gamma_{c})\\}\\] \\[\\mathcal{C}_{b} = (B B_{1}B_{2}) = \\{\\mathrm{points} P\\mathrm{such}\\mathrm{that}\\mathrm{Pow}(P,\\gamma_{c}) = k_{b}\\mathrm{Pow}(P,\\gamma_{a})\\}\\] \\[\\mathcal{C}_{c} = (C C_{1}C_{2}) = \\{\\mathrm{points} P\\mathrm{such}\\mathrm{that}\\mathrm{Pow}(P,\\gamma_{a}) = k_{c}\\mathrm{Pow}(P,\\gamma_{b})\\} .\\] \n\nSince \\(k_{a}\\) , \\(k_{b}\\) , \\(k_{c}\\) have product 1, it follows that any point on at least two of the circles must lie on the third circle as well. The convexity of hexagon \\(A_{2}C_{1}B_{2}A_{1}C_{2}B_{1}\\) mentioned earlier ensures these any two of these circles do intersect at two different points, completing the solution.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2023-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2023/6, proposed by Ankan Bhattacharya, Luke Robitaille (USA) \n"}} diff --git a/IMO/segmented/en-IMO-2024-notes.jsonl b/IMO/segmented/en-IMO-2024-notes.jsonl index 5b5f7d045007b646a8866ffc1b3b636e346e2a0b..9b40d1e57b3c5411696e569c6bf82085b383c972 100644 --- a/IMO/segmented/en-IMO-2024-notes.jsonl +++ b/IMO/segmented/en-IMO-2024-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2024", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Find all real numbers \\(\\alpha\\) so that, for every positive integer \\(n\\) , the integer \n\n\\[|\\alpha | + |2\\alpha | + |3\\alpha | + \\dots +|n\\alpha |\\] \n\nis divisible by \\(n\\)", "solution": ". \n\nThe answer is that \\(\\alpha\\) must be an even integer. Let \\(S(n,\\alpha)\\) denote the sum in question. \n\n\\(\\P\\) Analysis for \\(\\alpha\\) an integer. If \\(\\alpha\\) is an integer, then the sum equals \n\n\\[S(n,\\alpha) = (1 + 2 + \\cdot \\cdot \\cdot +n)\\alpha = \\frac{n(n + 1)}{2}\\cdot \\alpha\\] \n\nwhich is obviously a multiple of \\(n\\) if \\(2\\mid \\alpha\\) ; meanwhile, if \\(\\alpha\\) is an odd integer then \\(n = 2\\) gives a counterexample. \n\n\\(\\P\\) Main case. Suppose \\(\\alpha\\) is not an integer; we show the desired condition can never be true. Note that replacing \\(\\alpha\\) with \\(\\alpha \\pm 2\\) changes by \n\n\\[S(n\\pm 2,\\alpha) - S(n,\\alpha) = 2(1 + 2 + \\cdot \\cdot \\cdot +n) = n(n + 1)\\equiv 0\\pmod {n}\\] \n\nfor every \\(n\\) . Thus, by shifting appropriately we may assume \\(- 1< \\alpha < 1\\) and \\(\\alpha \\notin \\mathbb{Z}\\) \n\n. If \\(0< \\alpha < 1\\) , then let \\(m\\geq 2\\) be the smallest integer such that \\(m\\alpha \\geq 1\\) . Then \n\n\\[S(m,\\alpha) = \\underbrace{0 + \\cdot \\cdot \\cdot +0 + 1}_{m - 1\\mathrm{~terms}} = 1\\] \n\nis not a multiple of \\(m\\) \n\n. If \\(- 1< \\alpha < 0\\) , then let \\(m\\geq 2\\) be the smallest integer such that \\(m\\alpha \\leq - 1\\) . Then \n\n\\[S(m,\\alpha) = \\underbrace{(-1) + \\cdot \\cdot \\cdot +(-1)}_{m - 1\\mathrm{~terms}} + 0 = -(m - 1)\\] \n\nis not a multiple of \\(m\\)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2024/1, proposed by Santiago Rodriguez (COL) \n"}} {"year": "2024", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "For which pairs of positive integers \\((a,b)\\) is the sequence \n\n\\[\\gcd (a^{n} + b,b^{n} + a)\\qquad n = 1,2,\\ldots\\] \n\neventually constant?", "solution": "The answer is \\((a,b) = (1,1)\\) only, which obviously works since the sequence is always 2. Conversely, assume the sequence \n\n\\[x_{n}:= \\gcd (a^{n} + b,b^{n} + a)\\] \n\nis eventually constant. The main crux of the other direction is to consider \n\n\\[M:= ab + 1.\\] \n\nRemark (Motivation). The reason to consider the number is the same technique used in IMO 2005/4, namely the idea to consider \" \\(n = - 1\\) \". The point is that the two rational numbers \n\n\\[\\frac{1}{a} +b = \\frac{ab + 1}{b},\\qquad \\frac{1}{b} +a = \\frac{ab + 1}{a}\\] \n\nhave a large common factor: we could write \" \\(x_{- 1} = ab + 1\\) \", loosely speaking. \n\nNow, the sequence is really only defined for \\(n\\geq 1\\) , so one should instead take \\(n\\equiv - 1\\) (mod \\(\\phi (M)\\) ) — and this is exactly what we do. \n\nObviously \\(\\gcd (a,M) = \\gcd (b,M) = 1\\) . Let \\(n\\) be a sufficiently large multiple of \\(\\phi (M)\\) so that \n\n\\[x_{n - 1} = x_{n} = x_{n + 1} = \\dots .\\] \n\nWe consider the first three terms: the first one is the \"key\" one that gets the bulk of the work, and the rest is bookkeeping and extraction. \n\nConsider \\(x_{n - 1}\\) . Note that \n\n\\[a(a^{n - 1} + b) = a^{n} + ab\\equiv 1 + (-1)\\equiv 0\\pmod {M}\\] \n\nand similarly \\(b(b^{n} + a)\\equiv 0\\) (mod \\(M\\) ). Hence \\(M\\mid x_{n - 1}\\) \n\nConsider \\(x_{n}\\) , which is now known to be divisible by \\(M\\) . Note that \n\n\\[0\\equiv a^{n} + b\\equiv 1 + b\\pmod {M\\] \\[0\\equiv b^{n} + a\\equiv 1 + a\\pmod {M\\] \n\nSo \\(a\\equiv b\\equiv - 1\\) (mod \\(M\\) ). \n\nConsider \\(x_{n + 1}\\) , which is now known to be divisible by \\(M\\) . Note that \n\n\\[0\\equiv a^{n + 1} + b\\equiv b^{n + 1} + a\\equiv a + b\\pmod {M}.\\] \n\nWe knew \\(a\\equiv b\\equiv - 1\\) (mod \\(M\\) ), hence this means \\(0\\equiv 2\\) (mod \\(M\\) ), so \\(M = 2\\) . From \\(M = 2\\) we then conclude \\(a = b = 1\\) , as desired.\n\n\n\nRemark (No alternate solutions known). At the time nobody seems to know any solution not depending critically on \\(M = ab + 1\\) (or prime numbers dividing \\(M\\) , etc.). They vary in execution once some term of the form \\(x_{k \\varphi (n) - 1}\\) is taken, but avoiding the key idea altogether does not currently seem possible. \n\nA good example to consider for ruling out candidate ideas is \\((a, b) = (18, 9)\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2024/2, proposed by Valentino Iverson (IDN) \n"}} -{"year": "2024", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , \\(a_{3}\\) , ... be an infinite sequence of positive integers, and let \\(N\\) be a positive integer. Suppose that, for each \\(n > N\\) , the number \\(a_{n}\\) is equal to the number of times \\(a_{n - 1}\\) appears in the list \\((a_{1},a_{2},\\ldots ,a_{n - 1})\\) . Prove that at least one of the sequences \\(a_{1}\\) , \\(a_{3}\\) , \\(a_{5}\\) , ... and \\(a_{2}\\) , \\(a_{4}\\) , \\(a_{6}\\) , ... is eventually periodic.", "solution": "We present the solution from \"gigamilkmen'tgeg\" in https://aops.com/community/p31224483, with some adaptation from the first shortlist official solution as well. Set \\(M:= \\max (a_{1},\\ldots ,a_{N})\\) . \n\n\\(\\P\\) Setup. We will visualize the entire process as follows. We draw a stack of towers labeled 1, 2, ..., each initially empty. For \\(i = 1,2,\\ldots\\) , we imagine the term \\(a_{i}\\) as adding a block \\(B_{i}\\) to tower \\(a_{i}\\) . \n\nThen there are \\(N\\) initial blocks placed, colored red. The rest of the blocks are colored yellow: if the last block \\(B_{i}\\) was added to a tower that then reaches height \\(a_{i + 1}\\) , the next block \\(B_{i + 1}\\) is added to tower \\(a_{i + 1}\\) . We'll say \\(B_{i}\\) contributes to the tower containing \\(B_{i + 1}\\) . \n\nIn other words, the yellow blocks \\(B_{i}\\) for \\(i > N\\) are given coordinates \\(B_{i} = (a_{i},a_{i + 1})\\) for \\(i > N\\) . Note in particular that in towers \\(M + 1\\) , \\(M + 2\\) , ..., the blocks are all yellow. \n\n![](data:image/jpeg;base64,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)\n \n\nWe let \\(h_{\\ell}\\) denote the height of the \\(\\ell^{\\mathrm{th}}\\) tower at a given time \\(n\\) . (This is an abuse of notation and we should write \\(h_{\\ell}(n)\\) at time \\(n\\) , but \\(n\\) will always be clear from context.) \n\n\\(\\P\\) Up to alternating up and down. We start with two independent easy observations: the set of numbers that occur infinitely often is downwards closed, and consecutive terms cannot both be huge.\n\n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKCAh8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACsO48Z+FrS4kt7nxLo0M8TFJI5L6JWRh1BBbINbleTfDjwzoGrafrtzqWh6bez/25dr5tzaRyNgMMDLAnHNZ1aipx5mNK53P/Cd+D/8Aoa9D/wDBjD/8VR/wnfg//oa9D/8ABjD/APFVD/wg3hH/AKFXQ/8AwXxf/E0f8IN4R/6FXQ//AAXxf/E1zfXY9h8pN/wnfg//AKGvQ/8AwYw//FUf8J34P/6GvQ//AAYw/wDxVQ/8IN4R/wChV0P/AMF8X/xNH/CDeEf+hV0P/wAF8X/xNH12PYOUm/4Tvwf/ANDXof8A4MYf/iq1tP1Ow1a1+1abfW17bklfNtpVkTI6jKkjNYf/AAg3hH/oVdD/APBfF/8AE1g/CGGK20vxPBBEkUMfiO8RI0UKqKNgAAHQAdq2o11VbSQmrHolFFFbiCiiigAooooAKKKKACiiigAqC3vrS7knjt7mGZ4H2SrG4Yxt6MB0NT15JrdnqGieI9V8S6QN6RXZS8tR0dNiMW/NiT6dfWsqtRws7XR04ShGvU9k5Wk9r7X7P12Xmet0VzOk6ra61psV9ZvuikHQ9VPcH3FXa0TTV0YThKnJwmrNGzRWNRTJNmisaigDZorGooA2aKxqKANmisaigDZorGooA2aKxqKANmisaigDZorGooA2aKxqKANmisaigDZorGooA2aKxqKANmisaigDZorGooA2aKxqKANmisaigDZorGooA2aKxqKANmq6X1pJeyWSXMLXUah3hDguqnoSOoFcX4s8TDQrZLe1Tz9Uuflt4QMnJ43Een8z+NW/AfhltGguL6+czatd83EpOduedo/r/wDWFZe0vPkj8zuWDUcM8RVdr/Cur7v0XfudjRRRWpwhRRRQAUUUUAFed/Cj/kC67/2Hrz/0IV6JXnfwo/5Auu/9h68/9CFcuL/hlR3O9opsgZo2CMFcghWIzg+uK8y8SafPa+GrLSbC8t7rxx50Oy6tgFmyHBeSTksE2ZDbuDkeoFedGPM7FHp9FcVrmsRXfjyz8NTtILOKyN9cxRqzG5YtsjiIXkqMOxHQ4GeM1reHbawjvdVn067JgklRDYiIRLaOq4I2YBBbIY565GOMUONldgb9cL8J/wDjy8V/9jLe/wA1ruq4X4T/APHl4r/7GW9/mtdeC+JkyPQaKKK9AkKKKKACiiigAooooAKKKKACuYswDqOsgjIN6f8A0VHXT1zFl/yEdZ/6/T/6KjqZboiXxI4zULW48Baw2q6fG0mh3LAXVsv/ACxJ7j+n5eld3aXcF9aRXVtIskMq7kdehFPmhiuYHhmRZIpFKujDIYHqK4CJ5/h5rAglLy+Hbx/kc8m3c9j/AJ5HPUGsP4L/ALr/AA/4B7q/4Uqdn/Giv/A0v/bl+K8z0Kimo6yRq6MGRgCrKcgj1p1dJ4oUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4k8Q23hzTDczfPM/ywwg8yN/h6mrWsava6Jpst9ePtjQcAdXbso9zXJ+HNIu/EOqDxRriYHWxtT0jXs2P5evX0rGpN35Ibv8PM9LBYWDi8TiP4cfvk/5V+r6IteFPD1z9qfxDrn7zVLjlEYf6hT2x2OPyHHrXfWH3H+tUavWH3H+tXTgoRsjmxWKniantJ+iXRLol5It0UUVZzBRRRQAUUUUAFed/Cj/AJAuu/8AYevP/QhXoled/Cj/AJAuu/8AYevP/QhXLi/4ZUdztNRmuLbTLue0g+0XMcLvDDnHmOFJVc9snArgfHOqLqfwvWcNCNdlEJtIrOXfIl3uX5YyPmyOc98Zz3r0eohbQC4NwIIxMRgyBBuI+vWvOjJRdyjhY7OXTPijp2saqY0N9oYsjMcBRdI4dlz0G5SSPXaat+G0kuviJ4p1S3bdpskdtbrIvKSzIp3FT32ghSfXjtXYyxRzxtHLGkkbcFXGQfwpyIsaBEUKoGAAMAU3O6AWuF+E/wDx5eK/+xlvf5rXdVwvwn/48vFf/Yy3v81rqwXxMmR6DRRRXoEhRRRQAUUUUAFFFFABRRRQAVzFl/yEdZ/6/T/6Kjrp65iy/wCQjrP/AF+n/wBFR1Mt0RL4kXqrahp9tqljLZXcYkglXDKf5j0NWaKbSaszWMpQkpRdmjgdGv7nwZq6+H9XkL6dMf8AQbtui8/dPp/Q+xrvqzdc0S01/TJLK7Xg8o46xt2YVzfhjW7vS9R/4RjXmxcx8Wlwekydhn19Py6jnCLdJ8j2e3+X+R61aMcfTeIpr95H413X8y/9uXzO2oooroPHCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACoLy8t7Czlu7qQRwRLudj2FSySJFG0kjKiKCzMxwAB3NefO1x8Q9Z8tC8Xh2zf5m6G4cf5/Ae5rKpU5dFq3sd2CwirtzqPlpx1k/0Xm+iHabaXHjzWF1jUY2j0W2Yi0tm/5akdz6+/5djXoIAAwOBTIYY7eFIYUVI0UKqqMAAdAKfTp0+Ra6t7ixuLeIklFcsI6RXZf5vq+oVesPuP8AWqNXrD7j/WtDiLdFFFABRRRQAUUUUAFeJfD/AOI3hLQdP1m21LWooJZdYup0HluwZGYbWBVSMGvZNR/5Bl3/ANcX/wDQTXzD8HvBGg+LbPVZNZtHna3kjWMrMyYBDZ+6RnoK4MyxFLDYd1q1+VW233sVBNuyPaP+FweAf+hii/78S/8AxNH/AAuDwD/0MUX/AH4l/wDiaw/+FM+B/wDoFy/+BUv/AMVR/wAKZ8D/APQLl/8AAqX/AOKr5n/WLLe0/uX+Zv7GZuf8Lg8A/wDQxRf9+Jf/AImj/hcHgH/oYov+/Ev/AMTWH/wpnwP/ANAuX/wKl/8AiqP+FM+B/wDoFy/+BUv/AMVR/rFlvaf3L/MPYzNz/hcHgH/oYov+/Ev/AMTVT4Najaajpniaa0nSVJPEF1OuOpR9pVsHkAgH8jWXL8GvBCxOw0uXIUkf6VL/APFVg/szf8e/ib/etv5S17WT5hhsbzuhf3bXvbrfs/IyqQcdz3yiiivbMwooooAKKKKACiiigAooooAK5iy/5COs/wDX6f8A0VHXT1zFl/yEdZ/6/T/6KjqZboiXxIvUUUVRYVh+J/DcHiLTxGW8q7i+a3nHVG/wNblFTKKkuVmtCvUoVFVpuzRynhPxJPdySaLrC+VrFrwwb/lso/iHv/PqPbq65nxZ4ZbVo49Q09/I1e1+aCVTjfjnaT/L/A1L4U8TLr1q8NwnkalbfLcwEYII43Aen8jWVOTi/Zz+T7/8E9DF0Kden9bw6svtR/lfdf3X07bHQ0UUVueUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXEeJ9au9X1L/AIRfQm/fvxeXA6RJ3Gf5/l1NRUqKCuzqwmEnianJHRLVt7JdWyvq99c+NdXbQdJkKaZCwN7dr0bn7o9fb1PsK7awsLbTLGKztIxHBEu1VH8z71X0TRbTQdMjsbRflXl3PV27sa0ainTa96W7/qxtjcXCaVChpTjt3b/mfm/wWgUUUVseeFXrD7j/AFqjV6w+4/1oAt0UUUAFFFFABRRRQBW1H/kF3f8A1xf/ANBNeBfs8/8AIO13/rtD/Jq991H/AJBd3/1xf/0E14F+zz/yDtd/67Q/yavB4m/5FlT5fmjWj8aPaaKa4YxsEYKxBwxGcH1xXnPiGwmtfDtnpdjdwXPjPzodl1bgLLkOC8knJITZkHdwcj1Ar80w2HVeXLzW1/pvsl1OyTsekUViXdjc3/iQR3tlBcaKLPK+Y+cT7zkGMjDfLjBPTBx1NY3hCSWDxb4q0q3d30izlgNsGYssMjpmSNSewODt/hz7044ZSpympaxSfybS3767WC+p2M3+ok/3T/KvI/2Zv+PfxN/vW38pa9cm/wBRJ/un+VeR/szf8e/ib/etv5S19hwZtX/7d/8AbjnxHQ98ooor7g5gooooAKKKKACiiigAooooAK5iy/5COs/9fp/9FR109cxZf8hHWf8Ar9P/AKKjqZboiXxIvUUUVRYUUUUAFcf4q8P3SXaeItC+TU7fmSNRxOncEdzj8x74rsKKipBTVmdOFxU8NU9pD0a6NdU/JmR4c8QWviLTFuoPkkX5ZoSeY29Pp6GteuF8Q6Vd+G9UbxPoaZQ831qOjr3YD+fp19a63SdVtda02K+s33RSDoeqnuD7iopzd+Se6/HzOjG4WCisTh/4cvvi/wCV/o+qLtFFFbHnBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFc54s8TDQrVLe1Tz9Tuflt4QMnJ43Een8z+NTOaguZm2Hw9TEVFSpq7f9fcVfFviO4t5o9D0Yebq91wNv8AyxU9z6HH5DmtLwx4cg8Oad5SnzbqX5ric9Xb/AdqqeE/DLaPFJfX7+fq11808rHO3PO0H+f/ANYV01ZU4OT9pPfou3/BO7F4inSp/VMM7x+0/wCZ/wDyK6L5hRRRW55YUUUUAFXrD7j/AFqjV6w+4/1oAt0UUUAFFFFABRRRQBW1H/kF3f8A1xf/ANBNeBfs8/8AIO13/rtD/Jq991H/AJBd3/1xf/0E14F+zz/yDtd/67Q/yavB4m/5FlT5fmjWj8aPYb+ae3066mtYPPuY4XeKHOPMcAkLntk4FcN401Iaj8NlmDRDW5fJNrFaSb5Euty8RkfNkc59s5r0GohbwCcziGMTEYMgUbiPrX5rhq8aM4zcbtNP7unodklc5TxB4zs/D1rY6dqeq29lqtzArSSspYRDGGcKAcnOQo6ZHoDU/gzV/D19BPY+G5hcWtqFeaf5svK5YksWALMduSfcV1NcBbfE+AeItS0e90y632k8iLLaIZgUVsbmUcjtnGa9TA5fXzKhUjg6LlKC5pWku9r8tk32STdr3IlNQa5md5N/qJP90/yryP8AZm/49/E3+9bfylruYvHOhX8q2lrNdSzS/IF+xTDaT6kqAB71w37M3/Hv4m/3rb+UtfTcLYHE4N1o4mnKDfLpJNP7XcxryjK1nc98ooor645wooooAKKKKACiiigAooooAK5iy/5COs/9fp/9FR109cxZf8hHWf8Ar9P/AKKjqZboiXxIvUUUVRYUUUUAFFFFACEAggjIPUGvP9QtbjwFrDarp8bSaHcsBdW6/wDLEnuP6fl6V6DUc8MVzA8E0ayRSKVdGGQQe1Z1KfOtNGtjtwWL+ryakuaEtJLuv810fQbaXcF9aRXVtIskMq7kdehFTV57E8/w81gQSl5fDt4/7tzybdz2/wA9Rz1Br0BHSSNZEYMjAFWU5BB7ilTqc2j0a3HjcJ7BqdN81OWsX+j811Q6iiitThCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqOr6ta6Jpst9ePtjQcAdXbso9zSbSV2XTpyqSUIK7exV8SeIbbw5pjXM3zzN8sMIPMjf4eprH8KeHrn7U/iHXP3mqXHKIw/1CnsB2OPyHHrVXw5pF34h1QeKNcTA62Nqeka9mx/L16+ld1WEE6sueW3RfqeriKkcFTeFpO838cl/wCkry7vq/IKKKK6DxwooooAKKKKACr1h9x/rVGr1h9x/rQBbooooAKKKKACiiigCtqP/ILu/wDri/8A6Ca+avgp4q0Pw5Y6wmr6jFaNNJEYxID8wAbPQe4r6dZQylWAIIwQe9eC+BfhR4T8RWOrXN/aTl4NWubaMRzsoWNGG0frXn5nhqeKw0qNVtJ2230dy4ScXdHY/wDCz/BX/Qw2v5N/hR/ws/wV/wBDDa/k3+FQf8KI8C/8+d3/AOBTUf8ACiPAv/Pnd/8AgU1fL/6tYD+ef4f5G3tpdiY/FDwWASNft2IHRVYk/TivM5Ne0EaLFr9prVrb+KYr2a+ERJ+ZXc5hY4x93H6jvXoy/ArwMpBW0vAR3F01H/CiPAv/AD53f/gU1ezleEwuWxfsJSu5Ju9rOKTTg1bVS5nzeisZzlKe4yD4p+EbnTEln1aK1nkiy0EgbcjEcjpzz3rl/wBmb/j38Tf71t/KWofEnww8M+GfFOnS6jb3Enhq9xbtJ57BrSbsWYdVPv059Oez+CukWOlaZ4mjs4tuzXbi2DE5Yxx7QgJ9sn8zXpYXJcLls5VMG26dWzV+lr+76xvZ/J9SJVJT0luj0+iiiu0kKKKKACiiigAooooAKKKKACuYsv8AkI6z/wBfp/8ARUddPXMWX/IR1n/r9P8A6KjqZboiXxIvUUUVRYUUUUAFFFFABRRRQBW1DT7bVLGWzu4xJBKMMD/MehritG1C58Gauvh/V5S+nTHNjdt0Xn7p9P6H2Nd9WbrmiWmv6ZJZXa8HlHA5jbsRWNSm370d1/Vj0MFi4QToV9act+6f8y81+K0NKiuJ8Ma3d6XqP/CL682LmPi0uCeJk7DPr6fl1HPbVdOopq6McXhJ4apyS1T1TWzXRoKKKKs5QooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKbJIkUbSSMqIoLMzHAAHc0AlcivLy3sLSW6upVigiXc7t2FcLptpcePNYXWNRjaPRbZiLS2b/lqR3Pr7/l2NNdrj4h6yYkLxeHbN/mYcG4cf5/Ae5r0CGGO3hSGFFSNFCqqjAAHQCub+M7/ZX4/8A9p/8JlPlX8aS1/uJ9P8T69l5jwABgcCiiiuk8UKKKKACiiigAooooAKvWH3H+tUavWH3H+tAFuiiigAooooAKKKKACvO/hR/wAgXXf+w9ef+hCvRK87+FH/ACBdd/7D15/6EK5cX/DKjud7RVe/N0NPuTZBDd+U3kBz8pfB259s4rz3xlYnSfhudbMAsPEtskMi3EEm+UzllBQv1kDEkEHIOenArzox5nYo9KorhvE2vw6NqWkT+JrN/wCxJ7cpLJsMkNvckrjzR6YyATnBz9Rr+GCkk+oXGnn/AIkkrIbIA/ITj52jHaMnbjHBIYjg5I4NK4GnrWj2mv6PdaXfR77e4Qq3qD2I9wcEfSvOPgnqFrp51/wpLPv1C21Gabcf+WwGI2I+jJk/7wr1avENH8PXl3pniHxFoY269pHia+lhwP8AXx5XfEfXIzgfUd69zJqsailhKrtGWqfaXR+j2fyfQzqK3vI92orI8M+IbTxRoFrq1kfkmX50J5jcfeU+4P8Aj3rXqqlOVObhNWa0YJ31CiiioAKKKKACiiigAooooAK5iy/5COs/9fp/9FR109cxZf8AIR1n/r9P/oqOpluiJfEi9RRRVFhRRRQAUUUUAFFFFABRRRQBh+J/DcHiLT/LLeVdxfNbzjqjf4Gs/wAJ+JJ7uSTRNYHlaxa/Kwb/AJbKP4h74/PqPbrK5nxZ4ZbVo49Q05/I1e1+aCVTjfjnaT/L/A1hUg4v2kN+q7/8E9TCYinVp/VMS7R+zL+V/wDyL6r5nTUVz3hTxMuvWrw3CeRqVt8txARg5HG4D0/ka6GtYTU1zI4cRh6mHqOlUVmgoooqjEKKKKACiiigAooooAKKKKACiiigAooooAK4DWL658a6u2g6TIU0yEg3t2vRv9kev9T7CrHifWrvV9R/4RfQmzO/F5cDpCncZ/n+XU102iaLaaDpkdjaL8q8u56u3djXPJ+1fIvhW/8Al/mezRisvprEVF+9l8K7L+Z/+2r5liwsLbTLGKztIxHBEu1VH8z71ZoordJJWR5EpOUnKTu2FFFFMkKKKKACiiigAooooAKvWH3H+tUavWH3H+tAFuiiigAooooAKKKKACvO/hR/yBdd/wCw9ef+hCvRK87+FH/IF13/ALD15/6EK5cX/DKjud1NNFbwSTzSLHFGpd3Y4CqBkkn0xXl0vxJ8DanqCapqWuQvFYsXsbLy3PzgY81htwX/ALo/hBz1PHqlFedFpboo5S4eG78Vrb6/HEtpJYRtZ28+DE8xZ/OHPDOB5YAPOCSOpqt4P0W00PxDrFvocrHQXSORYQ++KG5JfzFjPYYCEjsSPoOxmhiuIzHNEkkZ6q6gg/gaVESNAiKqqowFUYAp8+lgHVwvwn/48vFf/Yy3v81ruq4X4T/8eXiv/sZb3+a11YL4mTIqXf8Axbfxx9vX5PDOuyhbkfw2l0ej+yt3/H0FemVQ1vR7PX9GutLv499vcIUb1B7MPcHBH0rkvh/rF5aT3XgzXJM6rpQ/cSn/AJerb+Fx64GAfw75r6Or/tdD2q+OGkvOOyl8tn8n3Ml7rt0O8ooorzCwooooAKKKKACiiigArmLL/kI6z/1+n/0VHXT1zFl/yEdZ/wCv0/8AoqOpluiJfEi9RRRVFhRRRQAUUUUAFFFFABRRRQAUUUUAcf4q8P3SXaeItC+TU7fmSNRxOg6gjucfmPfFbPhzxBa+I9MW6g+SRflmhJ5jb0+noa164XxFpV14b1RvE+hplD/x/Wo6OvdgP5+nX1rnmnSfPHbqv1/zPYw8446msLVdpr4Jf+2vy7Po9NjuqKpaTqtrrWnRX1m+6JxyD1U91PoRV2t001dHkzhKnJwmrNBRRRTJCiiigAooooAKKKKACiiigArkvFviO4t5Y9D0Yebq918o2/8ALFT/ABH0OPyHNW/FfiYaFapBap5+qXPy28AGTk8biPT+Z/Go/CfhltHikvr9/P1a6+aeVjnbnnaD/P8A+sKwqSc37OHzfb/gnq4WjTw9P63iFdfZj/M+7/urr3ehb8MeHIPDmneUp826l+a4nPV2/wAB2rboorWMVFcqPPr1qleo6tR3bCiiiqMgooooAKKKKACiiigAooooAKvWH3H+tUavWH3H+tAFuqj6pp8bskl/ao6nBVplBB/OrdeM/DzwJ4Y8Q6LqF/q2jwXd22qXSmWQtkgPwODWdWoqceZjSues/wBsaZ/0EbT/AL/r/jR/bGmf9BG0/wC/6/41yf8AwqjwL/0Ldp+bf40f8Ko8C/8AQt2n5t/jXP8AXIdmPlOs/tjTP+gjaf8Af9f8aP7Y0z/oI2n/AH/X/GuT/wCFUeBf+hbtPzb/ABo/4VR4F/6Fu0/Nv8aPrkOzDlOs/tjTP+gjaf8Af9f8a8++Fmo2MOj64Jb23Qtrl2wDSqMgsMHr0rV/4VR4F/6Fu0/Nv8a4T4b/AA58Ja9Ya9Nqejxzvb61c20R82Rdsa7dq4Vh0yaipWhVg1qgSsew/wBr6b/0EbT/AL/L/jR/a+m/9BG0/wC/y/41yX/CnfAP/QvR/wDgRN/8XR/wp3wD/wBC9H/4ETf/ABdctqfd/d/wStTrf7X03/oI2n/f5f8AGj+19N/6CNp/3+X/ABrkv+FO+Af+hej/APAib/4uj/hTvgH/AKF6P/wIm/8Ai6LU+7+7/ghqdb/a+m/9BG0/7/L/AI1yHwkdZNP8UujBlbxJekMDkEfJTv8AhTvgH/oXo/8AwIm/+Lqv8G7ODT9F8SWdrGI7eDxDdxRoCTtVQgAyeegFdeE5bvlJkekVxXxA8PXd3Ba+ItDG3XtIJlhwP9fH/HEfXIzgfUd67WivVw9eVCoqken4rqn5NaENXVjI8M+IbPxRoFrq1kfkmX50J5jcfeU+4P8Aj3rXrzS7/wCLb+OPt6/J4Z12ULcj+G0uj0f2Vu/4+gr0utcZQjTkqlL4Jar9U/Nbfj1FF30e4UUUVxlBRRRQAUUUUAFcxZf8hHWf+v0/+io66euYsv8AkI6z/wBfp/8ARUdTLdES+JF6iiiqLCiiigAooooAKKKKACiiigAooooAKQgEEEZB6g0tFAHn2oWtx4C1g6rYRtJody4F1bL/AMsSe4/p+XpXd2l3BfWkV1bSrLDKu5HXoRTp4YrmB4Jo1kikUq6MMgg9q4GJ5/h5rIglZ5fDt4/7tzybdz2/z1HPUGub+C/7r/D/AIB7S/4U6dn/ABor/wADS/8Abl+K8z0Kimo6SRrJGwZGAKspyCD3FOrpPF2CiiigAooooAKKKKACsfxJ4htvDmmNczfPM3ywwg8yN/h6mrWr6taaJpst9ePtjQcAdXPZR7muT8OaTd+IdUHijXEwOtjanpGvZsfy9evpWNSbvyQ3f4eZ6WCwsHF4nEfw4/fJ/wAq/V9EWvCnh65+1P4h1z95qlzyiMP9Qp7Adjj8hx612FFFXTgoRsjmxWKniantJ/JdEuiXkgoooqzmCiiigAooooAKKKKACiiigAooooAKvWH3H+tUavWH3H+tAFuvOvhH/wAirf8A/YWu/wD0OvRa86+Ef/Iq3/8A2Frv/wBDrlxn8MqO531FNkDNGwRgrkEKxGcH1xXmXiTT57Xw1ZaTYXlvdeOPOh2XVsAs2Q4LySclgmzIbdwcj1Arzox5nYo9PoqpqF09tCqQBWupm8uFW6bvU+wAJPsPUiuZ+GrSt4ev/OnknkGrXqtJIcs2JmGTS5dLgdjXnXwg/wCQV4l/7GK7/klei1518IP+QV4l/wCxiu/5JVx+CXyA9Foqvfm6Gn3Jsghu/KbyA5+Uvg7c+2cV574ysTpPw3OtmAWHiW2SGRbiCTfKZyygoX6yBiSCDkHPTgVMY8zsB6VRWfPe3EWnW/7tRf3AVEiPIEhGTn/ZXkn2HqRXPfDVpW8PX/nTyTyDVr1WkkOWbEzDJo5dLgdjXC/Cf/jy8V/9jLe/zWu6rhfhP/x5eK/+xlvf5rXXgviZMj0GiiivQJKGt6PZ6/o11pd/Hvt7hCjeo9GHuDgj6VyXw/1i8tJ7rwZrkmdV0ofuJT/y9W38Lj1wMA/h3zXeVxXxA8PXd3Ba+ItDG3XtIJlhwP8AXx/xxH1yM4H1HevQwdSNSLwtV2jLZ9pdH6PZ/f0Ikre8jtaKyPDPiG08UaBa6tZH5Jl+dCeY3H3lPuD/AI96164qlOVObhNWa0Zad9QoooqACiiigArmLL/kI6z/ANfp/wDRUddPXMWX/IR1n/r9P/oqOpluiJfEi9RRRVFhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVbUNPttUsZbO7jEkEowwP8x6GrNFJpNWZUZShJSi7NHA6NqFz4M1dfD+ryl9OlObG7bovP3T6f0Psa76s3XNEtNf0ySyu14PKOBzG3Yiub8Ma3d6XqP/AAi+vNi5j4tLg9Jk7DPr6fl1HOEW6T5Hs9v8v8j160Y4+m8RTX7yPxruv5l/7cvmdtRRRXQeMFFFFABUF5eW9haS3V1KsUES7nduwqWSRIo2kkZURQWZmOAAO5rz6Rp/iHrPlIXi8O2b/Mw4Nw4/z+A9zWVSpy6LVvY7sFhFXbnUfLTjrJ/ovN9EO060uPHesLrGoxtHotsxFpbN/wAtSO59ff8ALsa9BAAGBwKZDDHbwpDCipGihVRRgADoBT6dOnyLXVvcnG4t4iSUVywjpFdl/m+r6hRRRWhxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABV6w+4/1qjV6w+4/1oAt1518I/8AkVb/AP7C13/6HXotedfCP/kVb/8A7C13/wCh1y4z+GVHc7XUZri20y7ntIPtFzHC7ww5x5jhSVXPbJwK4Hxzqi6n8L1nDQjXZRCbSKzl3yJd7l+WMj5sjnPfGc969HqIW0AuDcCCMTEYMgQbiPr1rzoyUXcowWttWtwmp3eradbslqkcpubUssRwC5DCVQNzY7dl9K534Tah9r0vUVGpWE4/tC7kMEKYkG6UnfneflOeOO45Nei0U+f3WgCvOvhB/wAgrxL/ANjFd/ySvRa86+EH/IK8S/8AYxXf8kpx+CXyA9Cmmit4JJ5pFjijUu7scBVAyST6Yry6X4k+BtT1BNU1LXIXisWL2Nl5bn5wMeaw24L/AN0fwg56nj1Sipi0t0Bg3UOox3Dau+pafZRCBVKXVsziAdW+fzFHJxk4H3V9K5j4Tah9r0vUVGpWE4/tC7kMEKYkG6UnfneflOeOO45Nei0U+f3WgCuF+E//AB5eK/8AsZb3+a13VcL8J/8Ajy8V/wDYy3v81rqwXxMmR6DRRRXoEhRRRQB5pd/8W38cfb1+TwzrsoW5H8NpdHo/srd/x9BXpdUNb0ez1/RrrS7+Pfb3CFG9R6Ee4OCPpXJfD/WLy0nuvBmuSZ1XSh+4lP8Ay9W38Lj1wMA/h3zXp1f9roe1Xxw0l5x2Uvls/k+5C9126HeUUUV5hYUUUUAFcxZf8hHWf+v0/wDoqOunrmLL/kI6z/1+n/0VHUy3REviReoooqiwooooAKKKKACiiigAooooAKKKKACiiigAooooAKw/E/huDxFp/llvKu4vmt5x1Rv8DW5RUyipLlZrQr1KFRVabs0cn4T8ST3ckmi6wPK1i1+Vg3HnKP4h74/PqPbrK5nxZ4ZbVo49Q09/I1e1+aGVTjfjnaf6f4GpPCniZNetHhuE8jUrb5biAjByONwHp/I1lTk4v2c/k+//AAT0MXQp16f1vDqy+1H+V91/dfTtsdFRRXEeJ9Zu9X1H/hF9BbM78XlwOkKdxn+f5dTWlSooK7OTCYSeJqckdEtW3sl1bK+sX1z411dtB0mUppkJBvbpejc/dHr/AFPsK7awsLbTLGKztIxHBEu1VH8z6mq+iaLaaDpkdjaL8q8u56u3djWjU06bXvS3f9WNsbi4TSoUNKcdu7f8z83+C0CiiitTzwooooAKKKKACiiigAooooAKKKKACiiigAooooAKvWH3H+tUavWH3H+tAFuvNvhNcQx+F79XmjVv7Wu+GYA/fr0mvEPAHw28JeJdGv8AUNX0gXN1/adzHv8AtEqfKH4GFYCubFW5NRx3PYvtlt/z8Q/99ij7Zbf8/EP/AH2K4j/hS/w+/wChfH/gXP8A/F0f8KX+H3/Qvj/wLn/+Lrz7U+7+7/gl6nb/AGy2/wCfiH/vsUfbLb/n4h/77FcR/wAKX+H3/Qvj/wAC5/8A4uj/AIUv8Pv+hfH/AIFz/wDxdFqfd/d/wQ1O3+2W3/PxD/32K88+EVxAmleJA80a58Q3ZGWAyPkq5/wpf4ff9C+P/Auf/wCLri/hv8NPCGvafrkup6QJ3ttZuLWE/aJV2xLt2r8rDOMnk81cVDker6dP+CLU9r+2W3/PxD/32KPtlt/z8Q/99iuI/wCFL/D7/oXx/wCBc/8A8XR/wpf4ff8AQvj/AMC5/wD4uotT7v7v+CPU7f7Zbf8APxD/AN9ij7Zbf8/EP/fYriP+FL/D7/oXx/4Fz/8AxdH/AApf4ff9C+P/AALn/wDi6LU+7+7/AIIanb/bLb/n4h/77FcX8JiGsfFRBBB8S3pBH1Wmf8KX+H3/AEL4/wDAuf8A+LqP4NWdvp2i+I7O1j8u3g8Q3cUaZJ2qoQAZPJ4A6114RRu+VkyPSKKKK7iQooooAK4r4geHru7gtfEWhjbr2kEyw4H+vj/jiPrkZwPqO9drRW+HryoVFUj0/FdU/JrQTV1YyPDPiG08UaBa6tZH5Jl+dCeY3H3lPuD/AI961680u/8Ai2/jj7evyeGddlC3I/htLo9H9lbv+PoK9LrXGUI05KpS+CWq/VPzW349RRd9HuFFFFcZQVzFl/yEdZ/6/T/6Kjrp65iy/wCQjrP/AF+n/wBFR1Mt0RL4kXqKKKosKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArjvFfh+5ju08R6F8mp2/MkajidO4I7nH5j3xXY1zvivxMNCtUgtV8/VLn5beADJyeNxHp/M/jWVZR5HzHflkq6xMVQV29Gns11T8u/wB5g3nj19X0y1stCif+2L35GTH/AB7+pz/I9hyfSul8MeHIPDmneUp826l+a4nPV2/wHb/69cT/AMI7rXhCOHxLFL9quvmbUIMfwscnBH6nseeleh6TqtprWnRX1m+6JxyD1U91PoRWFBuU71fi/T+tz080VOlQUcF/Bb1a1bkuj8kvh777l6iiiuw+dCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKvWH3H+tUavWH3H+tAFuvOvhH/yKt/8A9ha7/wDQ69Frzr4R/wDIq3//AGFrv/0OuXGfwyo7nfUU2Tf5beWFL4O3d0z2zXnniSXX9F8FWV+LiX/hLJLiGNLeK4eSG4kZwGTYfl2lNx4Axjg8Zrzox5nYo9Forl7vUZdQ8fR+HlmlitbfTzfXHkuUaRmfYi7hggDDE4PPHbgu0LUpk8V654emmeVLNYbm1eQ7nEcgOVLHk4ZTgnnDDrijldgOmrzr4Qf8grxL/wBjFd/ySvRa86+EH/IK8S/9jFd/ySqj8EvkB6LRRXGWtzqUHxVXS59UnubQ6I1z5TqiqJPPVcgKB2HfPU+tQo3A7OiuU8Q6/Z6f4n03TNWu5LGxvIXMUwkMSyzhgAhkBBXg5AyM59sVe0GeVtQ1S3jnkudOgkRbeaRi5D4PmIHPLBTjkkkEkZ+XAfK7XA3a4X4T/wDHl4r/AOxlvf5rXdVwvwn/AOPLxX/2Mt7/ADWuvBfEyZHoNFFFegSFFFFABRRRQBQ1vR7PX9GutLv499vcoUb1HoR7g4I+lcl8P9YvLSe68Ga5JnVdKH7iU/8AL1bfwOPXAwD+HfNd5XFfEDw9d3cFr4i0Mbde0gmWHA/18f8AHEfXIzgfUd69DB1I1IvC1XaMtn2l0fo9n9/QiSt7yO1orI8M+IbTxRoFrq1kfkmX50J5jcfeU+4P+PeteuKpTlTm4TVmtGWnfUK5iy/5COs/9fp/9FR109cxZf8AIR1n/r9P/oqOspboiXxIvUUUVRYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFUdX1a00TTZb68fbGg4A6ueyj3NJtJXZcISqSUIK7exV8R+Ibbw7pjXM3zyt8sMIPMjf4eprH8KeHrn7U/iHXP3mqXPKIw/wBQp7Adjj8hx61V8OaTd+IdUHijXEwOtjanpGvZsfy9evpXdVhBOq+eW3RfqeriKkcFTeFpO838cv8A21eXd9X5CEAggjIPUGvP9QtrjwFrB1WwjaTQ7lgLq3X/AJYk9x6e35eleg1HPDFcwPBNGskUilXRhkEHtWlSnzrTRrY5MFi/q8mpLmhLSS7r/NdH0G2l3BfWkV1bSrLBKu5HXoRU1eeRST/DzWRBKXl8O3j/ALtzybdz2/z1HPUGvQUdJY1kjYMjAFWU5BB7ilTqc2j0a3HjcJ7BqdN81OWsX+j811Q6iiitThCiiigAooooAKKKKACiiigAooooAKKKKACiiigAq9Yfcf61Rq9Yfcf60AW686+Ef/Iq3/8A2Frv/wBDr0WvOvhH/wAirf8A/YWu/wD0OuXGfwyo7na6jd/2fpl3e+TJN9nheXyoxln2qTtHucYrhfHFzEnw+fxhaWx03W1hhmgmUL5wZmTETEffBztKnIPpwK9DrNHh7SBcRz/2fBvjfzIwVyqP/eVegbnqBmvOhJJ3KOX05bmP4qR3l5EIX1Hw/H8vYSxyZkQfTzFqfRYHn+Knia/UHyIbS1tN3YyYZyPqAy5/3hXV3dja3yxi5hVzG2+NujRtjGVYcqcEjI9aW1s7exg8m1hSKPJYhRjJJySfUk8k96bnoBPXnXwg/wCQV4l/7GK7/klei1518IP+QV4l/wCxiu/5JTj8EvkB6LXFkj/hdqDPP/CON/6Uiu0rIPhXw6bj7QdA0sz/APPT7HHu/PGamLSvcDM1aytfE3iS50DWIVl02GyjuUtm4+0OzupbI5+TavAPV8n+Gq3g7SrnwzrWpeHob6a80aCCGe0E53Pali4MO7uuFBHoD+J6m902y1Hy/tdukrREmNyMMhPUqw5H4U+0sraxhMVrAkKFixCDG4nqT6n3NPn92wE9cL8J/wDjy8V/9jLe/wA1ruq4X4T/APHl4r/7GW9/mtdWC+JkyPQaKKK9AkKKKKACiiigAooooA80u/8Ai2/jj7evyeGddlC3I/htLo9H9lbv+PoK9Lqhrej2ev6NdaXfx77e5Qo3qPQj3BwR9K5L4f6xeWk914M1yTOq6UP3Ep/5erb+Fx64GAfw75r06v8AtdD2q+OGkvOOyl8tn8n3IXuu3Q7yuYsv+QjrP/X6f/RUddPXMWX/ACEdZ/6/T/6KjrypboJfEi9RRRVFhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTZJEijaSRlRFBZmY4AA7mgErkV5eW9haS3V1KsUES7nduwrhdOtLjx3rC6xqMbR6LbMRaWzf8tSO59ff8uxpsjT/EPWfKjLxeHbN/mbobhx/n8B7mvQIYY7eFIYUVI0UKqKMAAdAK5v4zv9lfj/wD2n/wm0+VfxpLX+4n0/xPr2XmPAAGBwKKKK6TxQooooArahp9tqljLZ3cYkglGGB/mPQ1xOjahc+DNXXw/q8hfTpTmxu26Af3T6D+R9jXf1m65olpr+mSWV2vB5RwOY27EVjUpt+9Hdf1Y9DBYuEE6FfWnLfun/MvNfitDSorifDGt3el6j/wjGvNi5j4tbhukydhn19Py6jntqunUU1dGOLwk8NU5Jap6prZro0FFFFWcoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVesPuP9ao1esPuP9aALdec/CR1Hha/BYA/2td9T/t16NXh/gD4a+EfEujX+oavpP2m6/tO5j8z7TKnyq/AwrAVzYq3JqOO57P5if31/OjzE/vr+dcH/wAKV+H3/Qv/APk5cf8AxdH/AApX4ff9C/8A+Tlx/wDF151qfd/d/wAEvU7zzE/vr+dHmJ/fX864P/hSvw+/6F//AMnLj/4uj/hSvw+/6F//AMnLj/4ui1Pu/u/4IaneeYn99fzrzv4QOo0rxLlgP+Khu+/slWP+FK/D7/oX/wDycuP/AIuuM+G/wy8Ia9p+uS6npHnva6zcWsJ+0yrtiXbtX5XGcZPJ5rSKhyPV9On/AARHt/mJ/fX86PMT++v51wf/AApX4ff9C/8A+Tlx/wDF0f8AClfh9/0L/wD5OXH/AMXWdqfd/d/wR6neeYn99fzo8xP76/nXB/8AClfh9/0L/wD5OXH/AMXR/wAKV+H3/Qv/APk5cf8AxdFqfd/d/wAENTvPMT++v51w/wAJubLxV/2Mt7/Naj/4Ur8Pv+hf/wDJy4/+LpnwasrfTtE8R2VrH5dvB4hu4o0yTtVQigZPJ4A612YRRu7MmR6RRRRXcSFFFFABRRRQAUUUUAFcV8QPD13dwWviLQxt17SCZYcD/Xx/xxH1yM4H1Heu1orfD15UKiqR6fiuqfk1oJq6sZHhnxDaeKNAtdWsj8ky/OhPMbj7yn3B/wAe9Z9l/wAhHWf+v0/+io65u7/4tx44+3r8nhnXZQtyB920uj0f2Vu/4+grpLL/AJCOs/8AX7/7Sjq8dQjTnGpS+CWq/VPzW349TO92k9y9RRRXKahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXAaxfXPjXV20HSZSmmQkG9u16Nz90ev8AU+wqx4n1q71fUf8AhF9CbM78XdwOkKdxn+f5dTXTaJotpoOmR2Novyry7nq7d2Nc8n7V8i+Fb/5f5ns0YrL6axFRfvZfCuy/mf8A7avmWLCwttMsYrO0jEcES7VUfzPvVmiit0rKyPIlJyk5Sd2wooopkhRRRQAUUUUAYfifw3B4i0/yyfKu4vmt5x1Rv8DWf4S8ST3ckmi6wvk6xa/KwbjzgP4h7/z6j26yuZ8WeGW1aOPUNObyNXtPmglU43452k/y/wADWFSDi/aQ36rv/wAE9TCYinVp/VMS7R+zL+V//IvqvmdNRXO+FPEya9aPDcJ5GpW3y3EBGDkcbgPT+Rroq1hNTXMjhxGHqYeo6VRWaCiiiqMQooooAKKKKACiiigAooooAKKKKACr1h9x/rVGr1h9x/rQBbrzr4R/8irf/wDYWu//AEOvRa86+Ef/ACKt/wD9ha7/APQ65cZ/DKjud9RVe/mmt9PuZ7aAzzxxM8cQ6yMASF/E8Vwnia51HSPh8fFcN3qFnq1tFHcSQ3cpKOSQGieLJQZyR8oBBxzXnRjzFHodFcfqXiL7V4h07Q/tJ0+N7H+0b6QuEdYywRIlbsWYnJHOF4wTka2hwypc380epx3mlysn2RFkaVoioxIGdmJOW7dsfWhxsrsDarzr4Qf8grxL/wBjFd/ySvRa86+EH/IK8S/9jFd/ySqj8EvkB6LRRXGWtzqUHxVXS59UnubQ6I1z5TqiqJPPVcgKB2HfPU+tQo3A7Oiq19d/Y7YuqeZKxCRRA4Lueg/xPYAntXOfD6+vr/Qr2XUbk3Fwup3cRc8DCysoAHYADgUculwOsrhfhP8A8eXiv/sZb3+a13VcL8J/+PLxX/2Mt7/Na7MF8TJkeg0UUV6BIUUUUAFFFFABRRRQAUUUUAUNb0ez1/RrrS7+Pfb3CFG9R6Ee4OCPpXnPgC+m06/1Xwnq0/mapYzbkkP/AC3hCqqsPoAM/Ue9eq15T4s0K6urzUNe0YY1rSr4yQ4H+uj8qPdGfXIzgfUd67sJUjNfVartGWz/AJZdH6PZ/f0Mp6STR3tFZfh3XbXxJodtqdofklX5kJ5jcfeU+4P+NalclSnKnNwmrNaM1TvqFFFFQAUUUUAFFFFABRRRQAUUUUAFcn4s8Rz28seh6MDLq918o2/8sVP8R9Dj8uv1teK/Ey6FapBbJ5+p3Py28AGTk8biPT+Z/Go/CfhltHikvr9/P1a6+aeVjkrnnaD/AD/+sKwqSc37OHzfb/gnq4WjTw9P63iFdfZj/M+7/urr3ehb8MeHIPDmneUp826l+a4nPV2/wHatuiitYxUVyo8+vWqV6jq1HdsKKKKoyCiiigAooooAKKKKACiiigDjvFfh+6ju08R6F8mp2/MkajidO4I7nH5j3xW14c8QWviPTFuoPklX5ZoSeY29Pp6GteuF8RaVdeG9UPifQ48of+P61HR17tj+fp19a55p0pc8duq/X/M9jDzjjqawtV2mvgl/7a/Ls+j02O6oqjpOq2mtadFfWb7onHIPVT3U+hFXq3TTV0eTOEqcnCas0FFFFMkKKKKACiiigAooooAKKKKACr1h9x/rVGr1h9x/rQBbrzr4R/8AIq3/AP2Frv8A9Dr0WvOvhH/yKt//ANha7/8AQ65cZ/DKjud8SACScAd64PUdZ8O+IrlJtR1rTl0Sxk85LdrpM3ci8h3GfuKRlV/iPPQDPcyxR3ELwzRpJFIpV0dQVZTwQQeorD/4Qbwj/wBCton/AIL4v/ia86DS3KMBLQf8Lqt9TmjZI7zQMW/mcYkSUbl9NwVx+BNWvD5mHxN8XLD/AMeGy0L4+79o2Hdj32bM/wDAa6u90+01GNEu7dJQjb0LDlG6ZU9QcE8j1p1nZWunweRaQRwRZLbUXGSepPqT603O6+VgJ686+EH/ACCvEv8A2MV3/JK9Frzr4Qf8grxL/wBjFd/ySnH4JfID0WuLJH/C7UGef+Ecb/0pFdpWQfCvh03H2g6BpZn/AOen2OPd+eM1MWle4DbuLWDrP2mC0sZ7eOPbAJbt4yrH7zECNhk8Ac8DPqa5z4WzXc2i6gZYLdIDql4wdJyzbzM2RjYBj3zz6Cu4nt4bqB4LiGOaFxho5FDKw9wetVNP0PSNIZ203S7KyL8Mba3SPd9doGafMuVoC/XC/Cf/AI8vFf8A2Mt7/Na7quF+E/8Ax5eK/wDsZb3+a11YL4mTI9Booor0CQooooAKKKKACiiigAooooAK5iy/5COs/wDX6f8A0VHXT1zFl/yEdZ/6/T/6KjqZboiXxI4q6/4t/wCMvtq/L4d1qXbcD+G1uT0f2Vu/4+gr0OqOsaTa65pNzpt6m+3uE2t6j0I9wcEfSuY8DardWs1z4R1l86lpo/cyn/l5t/4XH04B/DvmvVq/7XQ9qvjhpLzjspfLZ/J9wXuu3Q7WiiivMLCiiigAooooAKKKKACsfxH4htvDmmNczfPK3ywwg8yN/h6mrWr6taaJpst9ePtjQcAdXPZR7muU8OaTd+IdUHijXEwOtjanpGvZsfy9evpWNSbvyQ3f4eZ6OCwsHF4nEfw4/fJ/yr9X0RZ8KeHrn7U/iHXPn1S55RGH+oU9gOxxx7Dj1rsKKKunBQVkc+KxU8TU9pP5Lol0S8kFFFFWcwUUUUAFFFFABRRRQAUUUUAFFFFABSEAggjIPUGlooA8+1C2uPAWsHVbCNpNDuWAurdf+WJPcent+XpXd2l3BfWkV1bSrLDKu5HXoRTp4YrmB4Jo1kikUq6MMgg9q4CKSf4eaz5EpeXw7eP+7c8m3c9v89Rz1Brm/gv+6/w/4B7S/wCFOnZ/xor/AMDS/wDbl+K8z0Oimo6SxrJGwZGAKspyCD3FOrpPF2CiiigAooooAKKKKACiiigAq9Yfcf61Rq9Yfcf60AW686+Ef/Iq3/8A2Frv/wBDr0WvDPAXw08M+JtIv9Q1O1uJLj+07mPclzIg2q/HANc2Ktyajjue2UV57/wpTwR/z43f/gbL/wDFUf8AClPBH/Pjd/8AgbL/APFV59qfd/d/wS9T0KivPf8AhSngj/nxu/8AwNl/+Ko/4Up4I/58bv8A8DZf/iqLU+7+7/ghqehV518IP+QV4l/7GK7/AJJT/wDhSngj/nxu/wDwNl/+Krjfhz8MvC+v6frcuoWtw72us3FrFsuZExGu3AODyeTzVxUOR69un/BEe6UV57/wpTwR/wA+N3/4Gy//ABVH/ClPBH/Pjd/+Bsv/AMVUWp9393/BHqehUV57/wAKU8Ef8+N3/wCBsv8A8VR/wpTwR/z43f8A4Gy//FUWp9393/BDU9CrhfhP/wAeXiv/ALGW9/mtV/8AhSngj/nxu/8AwNl/+Ko+DNlBp2ieI7K2UrBB4hu4owWJIVQijk9eAK68Io3dmTI9JoooruJCiiigAooooAKKKKACiiigArmLL/kI6z/1+n/0VHXT1zFl/wAhHWf+v0/+io6mW6Il8SL1ch450K6uobbXtGGNa0o+ZDgf66P+KM+uRnA+o7119FdOHryoVFUj0/FdU/JrQpq6sZfh3XbXxJodtqdofklX5kJ5jcfeU+4NaleeXX/Fv/GX21fl8O61LtuB/Da3J6P7K3f8fQV6HWuMoRpyVSl8EtV+qfmtvx6ii76PcKKKK4ygooooAKgvLy3sLSW6upVigiXc7t2FSySJFG0kjKiKCzMxwAB3NefyNP8AEPWfKjLxeHbN/mbobhx/n8B7msqlTl0Wrex3YLCKu3Oo+WnHWT/Reb6IXTrS48d6wusajG0ei2zEWls3/LUjuf6/l2NeggADA4FMhhjt4UhhRUjRQqoowAB0Ap9OnT5Frq3uTjcW8RJKK5YR0iuy/wA31fUKKKK0OMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACq2oafbapYy2d3GJIJRhgf5j0NWaKTSasyoylCSlF2aOA0bULnwZq6+H9XkL6dKSbG7boBn7p9P6H2Nd/WbrmiWmv6ZJZXa8HlHA5jbsRXN+GNbu9L1D/AIRfXmxcx8WtwTxMnYZ/l+XUc4RbpPkez2/y/wAj160Y5hTeIpq1SPxruv5l/wC3L5nbUUUV0HjBRRRQAUUUUAFFFFABV6w+4/1qjV6w+4/1oAt1518I/wDkVb//ALC13/6HXotedfCP/kVb/wD7C13/AOh1y4z+GVHc76iq9/NNb6fcz20BnnjiZ44h1kYAkL+J4rhPE1zqOkfD4+K4bvULPVraKO4khu5SUckgNE8WSgzkj5QCDjmvOjHmKPQ6K5x5rzVtdgsp7TUINObT1ufPhlMS+aWwY2dSGDAYIAwOTnoKoeE9TvR4t8T+HLi5kvLbS3ge2nlO6RVlQsY2b+LaRwTk4PJo5dLgdlXnXwg/5BXiX/sYrv8Aklei1518IP8AkFeJf+xiu/5JVR+CXyA9FoorjLW51KD4qrpc+qT3NodEa58p1RVEnnquQFA7DvnqfWoUbgdnRXL3eoy6h4+j8PLNLFa2+nm+uPKco0jM+xF3DBAGGJweeO3BdoWpTJ4r1zw9NM8qWaw3Nq8h3OI5AcqWPJwynBPOGHXFPldgOmrhfhP/AMeXiv8A7GW9/mtd1XC/Cf8A48vFf/Yy3v8ANa68F8TJkeg0UUV6BIUUUUAFFFFABRRRQAUUUUAFcxZf8hHWf+v0/wDoqOunrmLL/kI6z/1+n/0VHUy3REviReoooqiyjrGlWuuaTc6bepvt7hCreo9CPcHBH0rmPA2q3VrNc+EtZfOpaaP3Mp/5ebf+Fx9OAfw75rta5DxzoV1dQ22vaMMa1pRMkOB/ro/4oz65GcfiO9ehg6kZxeFqu0ZbPtLo/R7P7+hElb3kdfRWX4e1218SaHbanaH5JV+ZCeY3H3lPuDWpXFUpypzcJqzWjLTvqFFFcT4n1q71fUf+EX0Jszvxd3APEKdxn+f5dTxjUqKCuzqwmEnianJHRLVt7JdWytrF9c+NdXbQNJkKaZCwN7dr0b/ZHr/U+wrtrCwttMsYrO0jEcES7VUfzPvVfRNFtNB0yOxtF+VeXc9XbuxrRqadNr3pbv8AqxtjcXCaVChpTjt3b/mfm/wWgUUUVqeeFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYfifw3B4i0/y8+VeRfNbzjqjf4GtyiplFSXKzWhXqUKiq03Zo5Pwl4knu5JNF1hfJ1i1+Vg3HnAfxD3/n1Ht1lcx4t8Mvq0ceoac3kavafNDKpxvxztJ/l/gal8KeJk160eG4TyNStvluICMHI43Aen8jWVOTi/Zz+T7/8ABPQxdCnXp/W8OrL7Uf5X3X919O2x0VFFFbnlBRRRQAUUUUAFXrD7j/WqNXrD7j/WgC3XnXwj/wCRVv8A/sLXf/odei1518I/+RVv/wDsLXf/AKHXLjP4ZUdzviQASTgDvXB6jrPh3xFcpNqOtacuiWMnnJbtdJm7kXkO4z9xSMqv8R56AZ7mWKO4heGaNJIpFKujqCrKeCCD1FYf/CDeEf8AoVtE/wDBfF/8TXnQaW5Q7WvEttplrbJ59rb314mYEvJVjVBgZZ+ei5GQOSeB1zVfwkui2ourPS7+PUbokXV9eJIrmWVyRlip4PynC9AABWlqPhvQtYuFuNT0XTr2ZV2LJc2qSMFyTgFgTjJPHvUum6JpOjLIulaZZWKykGQWtusQcjpnaBnrTuuWwF6vOvhB/wAgrxL/ANjFd/ySvRa86+EH/IK8S/8AYxXf8kpx+CXyA9FriyR/wu1Bnn/hHG/9KRXaVkHwr4dNx9oOgaWZ/wDnp9jj3fnjNTFpXuBhpA1r8ZJZ3GI77RAsTH+J4pvmA9wHU0aLA8/xU8TX6g+RDaWtpu7GTDOR9QGXP+8K6u7sbW+WMXMKuY23xt0aNsYyrDlTgkZHrS2tnb2MHk2sKRR5LEKMZJOST6knknvT59PlYCeuF+E//Hl4r/7GW9/mtd1XC/Cf/jy8V/8AYy3v81rqwXxMmR6DRRRXoEhRRRQAUUUUAFFFFABRRRQAVzFl/wAhHWf+v0/+io66euYsv+QjrP8A1+n/ANFR1Mt0RL4kXqKKKosKKKKAPPLr/igPGX21fl8O61LtuB/Da3J6P7K3f8fQV6HVHWNKtdc0m5029Tfb3CFW9R6Ee4OCPpXnlh4w1Hw1YXHha/he512zcQ2TbSRcRH7j++BgY+nvj0a8licP7d/HBe95x2UvVbP5PuVQozq1VShvLY6XxZ4jnt5Y9D0Yebq918o2/wDLFT/EfQ4/Lr9dHwx4cg8Oad5SnzbqX5ric9Xb/Adqq+E/DLaPFJfX7+fq11808rHJXPO0H+f/ANYV0tePTg5P2k9+i7f8E9LF4inSp/VMM7x+0/5n/wDIrovmFFFFbnlhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcd4r8P3Ud2niPQhs1O35ljUcTp3GO5x+Y98V2NFRUgpqzOnCYqeGqe0h6NdGuqfkzI8OeILXxHpi3UHySr8s0JPMben09DWvXCeItKu/DeqHxPokeYz/x/Wo6Ovdsfz9Dz611uk6raa1p0V9Zvuiccg9VPdT6EVFObvyT3X4+Z0Y3CwUVicP/AA5ffF/yv9H1ReooorY84KKKKACr1h9x/rVGr1h9x/rQBbryz4W63pNl4bv4bvVLKCX+1bptktwiHBfg4Jr0bWXaPQ9QdGKuttIVYHBB2nmvlf4ZfDfT/HOn39zeX1zbtbSqiiELggjPORXDmNelQoOpWdoq3mVBNuyPpn/hJtA/6Dmm/wDgXH/jR/wk2gf9BzTf/AuP/GvIP+GfdD/6DGo/kn+FH/DPuh/9BjUfyT/Cvnv7byz/AJ+P/wABZt7KfY9f/wCEm0D/AKDmm/8AgXH/AI0f8JNoH/Qc03/wLj/xryD/AIZ90P8A6DGo/kn+FH/DPuh/9BjUfyT/AAo/tvLP+fj/APAWHsp9j1//AISbQP8AoOab/wCBcf8AjXB/CbWNMttK8RCfUbSIya/dSJ5k6ruU7MMMnkH1rl7n4BaJBazSjV9QJRGYAhOwz6VxHwt8G2niyHVDdXU8P2ZotvlY53bs5z/uivRwWKw2NhP6vJu1r6WLpUVKooz0TPp7/hIdF/6DGn/+BKf40f8ACQ6L/wBBjT//AAJT/GvI/wDhTulf9BK9/Jf8KP8AhTulf9BK9/Jf8K6fq7O36lR/nf3Hrn/CQ6L/ANBjT/8AwJT/ABo/4SHRf+gxp/8A4Ep/jXkf/CndK/6CV7+S/wCFH/CndK/6CV7+S/4UfV2H1Kj/ADv7j1z/AISHRf8AoMaf/wCBKf41y3wkdZNP8UOjBkfxHeMrKcgg7CCPauKf4PaUqM39pXnAz0X/AAq/+z6zG219dx2h4CBngEiT/AVvh4OnK3czr4KEaTqQle1unc9ooooruPLCiiigAooooAKKKKACiiigArmLL/kI6z/1+n/0VHXT1zFl/wAhHWf+v0/+io6mW6Il8SL1FFFUWFFFUdX1a00TTZb68fbGg4A6ueyj3NJtJXZcISqSUIK7exV8R+Ibbw5pjXM3zyt8sMIPMjf4eprgrrwlr0tl/wAJh5z/APCSQyC5it8ceUAcxEepB6fh1Jrc8OaTd+IdUHijXEwP+XG1PSNezY/l69fSu5owdepTrLELZbLuno7+q09D0sX7PC0XhIWc38cvTXlXo931fkjL8Pa7a+JNDttTtD8kq/MhPMbjqp9wa1K88uv+KA8ZfbV+Xw7rUu24H8Nrcno/srd/x9BXodduMoRpyVSl8EtV+qfmtvx6nkRd9HuFFFFcZQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAhAIIIyD1Brz/ULa48Bay2q2EbSaHdMBdW6/wDLEnuP6fl6V6DUc8MVzA8E0ayRSKVdGGQQe1Z1KfOtNGtjtwWL+ryakuaEtJLuv810fQbaXcF9aRXVtKssMq7kdehFTV55FJP8PNZ8iYvL4dvH/dueTbsex/zyOeoNego6SxrJGwZGAKspyCD3FKnU5tHo1uPG4T2DU6b5qctYv9H5rqh1FFFanCFXrD7j/WqNXrD7j/WgCPXP+QBqX/XrL/6Aa8N/Z7/5Amtf9fKf+gmvctc/5AGpf9esv/oBrw39nv8A5Amtf9fKf+gmvn+J/wDkWz9V+aNaPxo9koqC9lmgsLia3hM00cTNHEP42AJC/ieK4nxHcX+leBD4nhur+01S3ijuJIrqUlHJIDRvFkoM5x8oBBxzX5th8O60lFO12kvV/p5nY3Y72iuWbVJdW8X22j7pbe3j00X9wkblHZ3baiFhyAMMTjqcduDNomoyp4n1rQZpXlS0WG4tmkO5hHIDlS3U4ZTgnnDDrinLCzjFt7pXt5Xt+v3BzG3qH/INuv8Ari/8jXiPwC/1Gv8A+9B/KSvbtQ/5Bt1/1xf+RrxH4Bf6jX/96D+UlfX8H/w63/bv6gv4sfmey0UUV9edYUUUUANl/wBU/wDumuG/Z9/1HiD/AHrf+UldzL/qn/3TXDfs+/6jxB/vW/8AKSnH40Fb/dany/M9pooorpPDCiiigAooooAKKKKACiiigArmLL/kI6z/ANfp/wDRUddPXMWX/IR1n/r9P/oqOpluiJfEi9RRTZJEijaSRlRFBZmY4AA7mqLSuRXl5b2FpLdXUqxQRLud27CuG060uPHesLrGoxtHotsxFpbN/wAtT/ePr7/l602Rp/iHrPlRl4vDtnJ8zdDcOP8AP4D3Irv4YY7eFIYUVI0UKqKMAAdAK5v4zv8AZX4/8A9p/wDCbT5V/Gktf7ifT/E+vZeY8AAYHAooorpPFKOsaVa65pNzpt6m+3uEKt6j0I9wcEfSuY8D6rdWs1z4S1l86lpo/cyn/l5t/wCFx9OAfw75rta5DxzoV1cw22vaMMa1pRMkOB/ro/4oz65GcfiO9ehg6kZxeFqu0ZbPtLo/R7P7+hElb3kdfRWX4e1218SaHbanaH5JV+ZCeY3H3lPuDWpXFUpypzcJqzWjLTvqFFFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBW1DT7bVLGWzu4xJBKMMD/MehridG1C58Gauvh/V5C+nSnNjdt0HP3T6D+R9jXf1m67olpr+mSWV2vB5RwOY27MKxqU2/fjuv6sejgsXCCdCvrTlv3T/mXmvxWhpUVxPhjW7vS9Q/4RfXmxcx8WtwTxMnYZ/l+XUc9tV06imrowxeEnhanJLVPVNbNdGgq9Yfcf61Rq9Yfcf61Zykeuf8gDUv8Ar1l/9ANeG/s9/wDIE1r/AK+U/wDQTXuWuf8AIA1L/r1l/wDQDXhv7Pf/ACBNa/6+U/8AQTXz/E//ACLZ+q/NGtH40eyEgDJOAK4m/wBX0DX7hJtQ1iwXR7J/NS3a5TN1IvIZhn7inkL/ABHnoBns5Yo54XhmjWSJ1KujjIYHggg9RWN/whfhX/oWdG/8AIv/AImvzjC1KVNuU736Wtp9/X8jskm9jKt1aP4qm7dGjjv9EXyt/B3JLll+oDqaXSk3/EvxHfkhbeG1tbTeTgGTDORn1AZf++hXUXVlbXoQXESuY23Rt0ZGxjKkcg4JGR61jeI/CtlrPhW70iKBI9wMkJUY2zckMfUk9T3ya68NXo1asadaThGSUG7XsrrW11eyW34kyTSuiXX/ABHo+l6ZcfbNRt43aNlWPeC7EjgBRya8n+AyBItfUMG+a3yR9JKs+G7HVPDnhyLWbPSLTVtOuYGMjJCqXdqeVcZxlgCD+XaqvwHXyRr0TkByYGAz1Hz8j8xX6Xl+SUcthXhhn7RKSTndaNXTi4LWDT35m79NNXlQqudWLenkeyUUUVuekFFFFADZf9U/+6a4b9n3/UeIP963/lJXcy/6p/8AdNcN+z7/AKjxB/vW/wDKSnH40Fb/AHWp8vzPaaKKK6TwwooooAKKKKACiiigAooooAK5iy/5COs/9fp/9FR109cxZf8AIR1n/r9P/oqOpluiJfEi9XAaxf3PjXVm0DSZCmmQkG9u16Nz90ev9T7CrPibWrvV9R/4RfQWzO/F3cDpCncZ/n+XU8dLomi2mg6ZHY2i/KvLuert3Y1jJ+1fIvhW/wDl/me3RisvprEVF+8l8K7L+Z/+2r5liwsLbTLGKztIhHBEu1VH8z71ZoordKysjyZScpOUndsKKKKZIUUUUAee3X/FAeMvtq/L4d1qXbcD+G1uT0f2Vu/4+gr0KqOsaVa65pNzpt6m+3uEKt6j0I9wcEfSuY8D6rdWs1z4S1l86lpo/cyn/l5t/wCFx9OAfw75r06n+10Par44aS847KXy2fyfche67dDtaKKK8wsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMPxR4bh8Rad5eRFeRfNbzjqjen0P/wBes/wl4knu5JNF1hfJ1i1+Vg3HnAfxD3/n1Ht1lcx4t8Mvq0ceoac3kavafNDIpxvxztJ/l/8AXrCpBxftIb9V3/4J6mExFOrT+qYl2j9mX8r/APkX1XzOnq9Yfcf61x/hTxMmvWjw3CeRqVt8txARg5HG4D0/ka7Cw+4/1rWE1NcyOHEYeph6jpVFZoj1z/kAal/16y/+gGvBvgHfWlpousLc3UEJa4QgSSBc/KfWvoSeGO5t5YJV3RyoUcZ6gjBr5t8G/BPTvFOk3N9Jq91bmK9mtlRY1bhGwCT615+bYSGLwrozlyp21tfZ3Ipy5ZXPbP7Z0v8A6CVn/wB/1/xo/tnS/wDoJWf/AH/X/GvNP+GbtK/6GC9/78r/AI0f8M3aV/0MF7/35X/Gvk/9VsP/AM/3/wCA/wDBN/bvsel/2zpf/QSs/wDv+v8AjR/bOl/9BKz/AO/6/wCNeaf8M3aV/wBDBe/9+V/xo/4Zu0r/AKGC9/78r/jR/qth/wDn+/8AwH/gh7d9jqNBe10bwbJYXWo2Hnr9pbEdwpGGd2GPwIrx74S+G4vENrq0n2u5s720eE21zA5DRlg+eO4OBxXa3H7OelQ20so1+8JRC2PJXnA+tcp8M/A9jrlpqD3F9qMDROgH2Wfy92QevBz0r6vK1PBYmtiadW86ru7Ky1bbVru6d9mVSpOqr8t1E71fEuueFmEPiq0+1WOcLqtmuQP+uiDp+H4ZrsLHULTU7RLqxuY7iB+jxtkfT2PtXGH4U6QQQdY14g9Qb7/7Gs+/+ENtDZP/AGHq99b3PpNLlX9iVAI+vP0r3ubCYr4/3c+6Xuv1W8fldeSNl7an0uvXX/gnplFeJ2Wg6ZZXaad4qvNf0q8bhJ/t2beX3Vscfj07muwX4WaO6B01rXWVhkEX+QR+VcmIwlTDtKotHs90/RrRlwrOfwr8Tupf9U/+6a4b9n3/AFHiD/et/wCUlNf4V6UqMf7Y17gE833/ANjTv2ff9R4g/wB63/lJXMrc6Najk8LUuu35ntNFFFdJ4oUUUUAFFFFABRRRQAUUUUAFeXeIPENzaatqei6Qhk1a8vPkI/5ZKY0G768H6YzXqNcbpXhLSZ9b1y/kS5+1NfMvmR3UkZClEYj5GHGWP6VjWUpWUTbD1adKrGpOPNbZdG7aX8vLqN8MeHIPDuneUpEt1L81xOert/gO1bdJ/wAItpn9/Uf/AAZ3P/xyj/hFtM/v6j/4M7n/AOOVUYuK5Uv6+4zr161eo6tTVvz/AOALRSf8Itpn9/Uf/Bnc/wDxyj/hFtM/v6j/AODO5/8AjlVeXb+vuMrz7L7/APgC0Un/AAi2mf39R/8ABnc//HKP+EW0z+/qP/gzuf8A45ReXb+vuC8+y+//AIAtFJ/wi2mf39R/8Gdz/wDHKP8AhFtM/v6j/wCDO5/+OUXl2/r7gvPsvv8A+ALXIeOdCurmG217RxjWtKJkhwP9dH/FGfXIzj8R3rrv+EW0z+/qP/gzuf8A45R/wi2mf39R/wDBnc//ABytsPiKtCoqkUtPxXVPTZrQT52rW/H/AIBmeHtdtfEmh22p2h+SVfmQnmNx95T7g1qV55qeh2fgLxlBdO14nhfV38ubZezILW5PR2KsCQ2OSSe/oK9C/wCEW0z+/qP/AIM7n/45W2Noezkp0vglqtfvT03T0+59QUpvS34/8AWik/4RbTP7+o/+DO5/+OUf8Itpn9/Uf/Bnc/8AxyuO8u39fcO8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgC0Un/CLaZ/f1H/wZ3P8A8co/4RbTP7+o/wDgzuf/AI5ReXb+vuC8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgC0Un/CLaZ/f1H/wZ3P8A8co/4RbTP7+o/wDgzuf/AI5ReXb+vuC8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgC0Un/CLaZ/f1H/wZ3P8A8co/4RbTP7+o/wDgzuf/AI5ReXb+vuC8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgC0Un/CLaZ/f1H/wZ3P8A8co/4RbTP7+o/wDgzuf/AI5ReXb+vuC8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgC0Un/CLaZ/f1H/wZ3P8A8co/4RbTP7+o/wDgzuf/AI5ReXb+vuC8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgC0Un/CLaZ/f1H/wZ3P8A8co/4RbTP7+o/wDgzuf/AI5ReXb+vuC8+y+//gC0Un/CLaZ/f1H/AMGdz/8AHKP+EW0z+/qP/gzuf/jlF5dv6+4Lz7L7/wDgHH+K/D91Hdp4j0L5NTt+ZY1H+vXvx3OPzHuBXT+DvENr4j0o3UHyyqQs0JPMben09DVn/hFtM/v6j/4M7n/45TNI8I6ToWqXGoaek0ctwmyRXmZ1POSfmJOc9yayUJxnzLZ7/wCZ6LxftsOqVde9H4ZdbfyvTVdu34G7XnXwj/5FW/8A+wtd/wDodei1518I/wDkVb//ALC13/6HUYz+GccdzvqKK4y1udSg+Kq6XPqk9zaHRGufKdUVRJ56rkBQOw756n1rzVG5R2dFcpreuh/Flp4dW8+xxC1a+vZw4RvL3BEjVuxZickc4XjBORo6HDKlzfzR6nHeaXKyfZEWRpWiKjEgZ2Yk5bt2x9abjZXYGlff8g+5/wCuTfyNeI/Br/jy1b/rpH/Jq9uvv+Qfc/8AXJv5GvEfg1/x5at/10j/AJNW2H3PUwP8Gp8j0+iiius0K99YWmpWr2t7bx3ED9UkXI//AF+9cc3hnW/Czmfwpd/aLLOW0q7fK/8AbNj0P1/Emu5orrw+Nq0E4LWL3i9U/l381Z+ZnOlGevXv1OY0jxpp+rPJYXKSadqigh7O6G1s4/hJ+9/P2rL/AGff9R4g/wB63/lJXSa/4c0vxBZtHqFqsjKp8uUcOn0br+HSvNPhPrOu+H49WvNP0dtV04GL7ZHC37+MfPtZB/F/FkY9OldMcPhsVNPDvkl/LJ6P/DL9JW9WRVlUhh5xkrrTVevVf5H0hRWH4c8XaL4rtTNpV4sjqP3kD/LLH/vKeR9envW5WFSlOlJwqKzXRnkpp6oKKKKgYUUUUAFFFFABRRRQAVk6L/x9az/1/n/0VHWtWTov/H1rP/X+f/RUdTLdES+JGtRRRVFhRRRQAUUUUAFFFFABRRRQBQ1rR7PX9GutLv499tcoUYdx6Ee4OCPpXJeANYvLSe68Ga5JnVdKA8iU/wDL1bfwOPXAwD+HfNd5XF/EDw9d3cFr4i0Mbde0gmWHA/18f8cR9cjOB9R3r0MHUjOLwtV2jLZ9pdH6PZ/f0Ikre8jtKKyfDXiG08UaBa6tZH93MvzoTzG4+8p9wf8AHvWtXFUpypzcJqzWjLTvqFFFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFedfCP8A5FW//wCwtd/+h16LXnXwj/5FW/8A+wtd/wDodcuM/hlR3O+riyR/wu1Bnn/hHG/9KRXaVkHwr4dNx9oOgaWZ/wDnp9jj3fnjNedFpXuUc49gIfjhHfTr8lzoZS3ZunmJL8wHuFcfgTU3h8zD4m+Llh/48NloXx937RsO7Hvs2Z/4DXV3un2moxol3bpKEbehYco3TKnqDgnketOs7K10+DyLSCOCLJbai4yT1J9SfWm56fKwCX3/ACD7n/rk38jXiPwa/wCPLVv+ukf8mr26+/5B9z/1yb+RrxH4Nf8AHlq3/XSP+TVrh9z1MD/BqfI9PooorrNAooooAbL/AKp/901w37Pv+o8Qf71v/KSu5l/1T/7prhv2ff8AUeIP963/AJSU4/Ggrf7rU+X5neeI/h7pWu3I1G2eXStZQ7o9QsjsfP8AtAfe/n71ip4u8SeC3W38aWP2zTgdqa1YpkAdvNQdD7jHsDXo9NdFkRkdQyMMFWGQR6V7FPHPlVKuueK77r0e69NV5HguPVaFbTdTsdYskvdOu4rq2f7skTbh9PY+1W64HUvhy1jevq3gu/Oiag3L245tZ/Zk7fgOPTvRp3xGfT72PSfGunnRL9uI7nObWf3V/wCH8Tx3PaqlgVVXPhJcy7faXy6+qv5pC5rfEd9RTUdJEV0YMjDKspyCPUU6vOLCiiigAooooAKydF/4+tZ/6/z/AOio61qydF/4+tZ/6/z/AOio6mW6Il8SNaiiiqLCiiigAooooAKKKKACiiigAooooA80u/8Ai3Hjj7evyeGddlC3I/htLo9H9lbv+PoK9LqhrWj2ev6NdaXfx77a5Qow7j0I9wcEfSuT8AaxeWk914M1yTOq6UB5Ep/5erb+Bx6kDAP4d816dT/a6HtV8cNJecdlL5bP5PuQvdduh3dFFFeYWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXnXwj/wCRVv8A/sLXf/odei14X4D+Htr4h0i/vpdf8QWbf2ncp5VlfeXHw/XG08+prmxSThqxx3PbaK87/wCFQ2P/AENni7/wZj/4ij/hUNj/ANDZ4u/8GY/+Irz+WH834FnolFed/wDCobH/AKGzxd/4Mx/8RR/wqGx/6Gzxd/4Mx/8AEUcsP5vwA7y+/wCQfc/9cm/ka8R+DX/Hlq3/AF0j/k1dbdfCSyitJpB4r8WMVjZsNqQIOB3+SvM/h54Uh8R21+8uqarZeS6ACxufKDZB+9wc9K2oqKloz08E37GpZdj26iuG/wCFYWf/AEMvif8A8GH/ANjR/wAKws/+hl8T/wDgw/8Asa67LuVzT/l/E7miuG/4VhZ/9DL4n/8ABh/9jR/wrCz/AOhl8T/+DD/7Giy7hzT/AJfxO3l/1T/7prhv2ff9R4g/3rf+UlD/AAxtFjY/8JL4mOATzqH/ANjR+z7/AKjxB/vW/wDKSkvjQ6jbwtS6tt+Z7TRRRXSeKFVdR0yx1eyez1G0iurZ/vRyqGH19j71aopxk4vmi7MDzh/CHiLwZI1z4KvvtWn53Pot8+V9/Kc/dP1x7k9K2fDnxC0vXLo6bdxy6TrKHa+n3o2Pn/YJ4b+ftXXVieI/CWi+KrUQ6rZJKyj93Mvyyx/7rDkfTp7V6P1yniNMWtf5l8XzW0vwfmRytfCbdFebY8aeAfu+Z4o0FOx/4/IF/wDZwPx/4CK63w54u0XxXambSrxZHUfvIH+WWL/eU8j69Pesq+CnTj7WD54d1+q3T9fkNST0e5uUUUVxFBWTov8Ax9az/wBf5/8ARUda1ZOi/wDH1rP/AF/n/wBFR1Mt0RL4ka1FFFUWFFFFABRRRQAUUUUAFFFFABRRRQAVxfj/AMPXd3Ba+ItDG3XtIJlhwP8AXx/xxH1yM4H1Heu0orfD15UKiqR6fiuqfk1oJq6sZPhrxBaeKNAtdWsj+7mX50J5jcfeU+4P+PetavNbv/i3Hjj7evyeGddlC3I/htLo9H9lbv8Aj6CvSq1xlCNOSqUvglqv1T81t+PUUXfR7hRRRXGUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFedfCP8A5FW//wCwtd/+h16LXnXwj/5FW/8A+wtd/wDodcuM/hlR3O+oork7XWNYX4jjQ7ya1a0OkteBYISpD+cqDLFiTgZ6Y69K81K5R1lFYN5qMtz4oGgQ3FxZsLL7YZ4oA28Fym0MylBjGSCCTkYxg5p+GNdvrnxHr/h3UnSe40poWjukTb50Uqll3AcBhgg4wD2Ap8rtcDor7/kH3P8A1yb+RrxH4Nf8eWrf9dI/5NXt19/yD7n/AK5N/I14j8Gv+PLVv+ukf8mrbD7nqYH+DU+R6fRRRXWaBRRRQA2X/VP/ALprhv2ff9R4g/3rf+UldzL/AKp/901w37Pv+o8Qf71v/KSnH40Fb/dany/M9pooorpPDCiiigAooooAK5LxH8PdJ126Go2zS6VrKHdHqFkdj5/2gOG/n711tFbUK9WhLnpSs/6+8TSe55wni7xJ4LdbfxpYm804HamtWKZAH/TVB0PuMewNd5pup2OsWSXunXcV1bP92SJtw+nsfarLosiMjqGRhgqwyCPSuD1L4ctY3r6t4LvzomoNy9uObWf2ZO34Dj0712c+FxXx/u5918L9VvH5XXkifej5nfVk6L/x9az/ANf5/wDRUdcvp3xGfT72PSvGunnRb9uEuc5tZ/dX/h/E8dz2rptCdJJ9YdGDI18SrKcgjyo+RXHicLVw8o+0Wj2e6fo9mJyTkrGxRRRWJoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUNa0ez1/RrrS7+PfbXKFGHcehHuDgj6VyfgDWLy0nuvBmuSbtV0oDyJT/y9W38Dj1IGAfw75ru64vx/wCH7u7gtfEWiDbr2kEywYH+vj/jiPrkZwPqO9ehg6kZxeFqu0ZbPtLo/R7P7+hElb3kdpRWT4a8QWnijQLXVrI/u5l+dCeY3H3lPuD/AI1rVxVKcqc3Cas1oy076hRRRUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV518I/+RVv/wDsLXf/AKHXotedfCP/AJFW/wD+wtd/+h1y4z+GVHc76uLP/JbE/wCxcb/0pFdpWCfB2jnV/wC1St99v8vyfP8A7SuN3l53bf8AWfdzzjpXnRaV7lGjqeofYIB5cLXF1KdsFupwZG+vZR1J7D8qy/DWjRaPcXzXFwtzrd+y3V/MFIBzlUVfRFClVHXgnvS694J0DxNeRXWr2k080UfloVu5owq5yeEcDr3xngegqbw/4T0XwsLgaPaNB9oKmUvPJKW25xy7HGMnp607x5bLcDSvv+Qfc/8AXJv5GvEfg1/x5at/10j/AJNXt19/yD7n/rk38jXiPwa/48tW/wCukf8AJq1w+56mB/g1Pken0UUV1mgUUUUANl/1T/7prhv2ff8AUeIP963/AJSV3Mv+qf8A3TXDfs+/6jxB/vW/8pKcfjQVv91qfL8z2miiiuk8MKKKKACiiigAooooAKKKKAKuo6ZY6vZPZ6jaRXVs/wB6OVQw+vsfevM7Dwz4j8KXepz+C7pLiwguyj6NeMSrDYhyjk8N82OcdBknpXq1ZOi/8fWs/wDX+f8A0VHXRRxlWh7i1i94vVP5fqrPzM5q8kY/hz4haXrl0dNu45dJ1lDh7C9Gx8/7BPDfz9q66sTxH4S0XxVaiHVbJJWUfu5l+WWP/dYcj6dPauRx408A/d83xRoCdj/x+QL/AOzgfj/wEV1eww+J1w75Zfyt6f8Absv0dvVju47npNFYfhzxdoviq1M2lXiyOo/eQP8ALLF/vKeR9envW5XBUpTpScKis10ZSaeqCiiioGFFFFABRRRQAUUUUAFFFFABRRRQB5rd/wDFuPHH29fk8M67KFuQPu2l0ej+yt3/AB9BXpVUNa0ez1/RrrS7+PfbXKFGHcehHuDgj6VyfgDWLy0nuvBmuSbtV0oDyJT/AMvVt/A49SBgH8O+a9Op/tdD2q+OGkvOOyl8tn8n3IXuu3Q7uiiivMLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK86+Ef/Iq3/wD2Frv/ANDr0WvDvAPgRde0e/vT4n8S2B/tO5TybC/8qPh+u3aeT3Nc2KScNWOO57VRXn//AAqpP+h48a/+Db/7Cj/hVSf9Dx41/wDBt/8AYV53LD+b8Cz0CivP/wDhVSf9Dx41/wDBt/8AYUf8KqT/AKHjxr/4Nv8A7Cjlh/N+AHcX3/IPuf8Ark38jXiPwa/48tW/66R/yauxuvhakdpM/wDwm3jNtsbHa2q5BwOh+TpXmPw68MjxBbX7nWdY0/yXQY0+68oPkH73Bz0regkpaM9PBN+xqWXY9sorif8AhW6f9Df4t/8ABl/9jR/wrdP+hv8AFv8A4Mv/ALGuqy7lc0+x21FcT/wrdP8Aob/Fv/gy/wDsaP8AhW6f9Df4t/8ABl/9jRZdw5p9jtJf9U/+6a4b9n3/AFHiD/et/wCUlPf4cII2P/CX+LDgHg6l/wDY1zHwm8Kr4lj1YnXNb0zyDEMaZeeR5m7f97g5xjj6mplOMJKTKqNvC1Lrt+Z9G0V53/wq5P8AodvGn/g3P/xNH/Crk/6Hbxp/4Nz/APE1X1umeLys9Eorzv8A4Vcn/Q7eNP8Awbn/AOJo/wCFXJ/0O3jT/wAG5/8AiaPrdMOVnolFed/8KuT/AKHbxp/4Nz/8TXLeC/CNz4ibxELzxl4uT+ztZuLCHytVYZjj24LZBy3PJGB7U1iqbVwsz22ivO/+FXJ/0O3jT/wbn/4mj/hVyf8AQ7eNP/Buf/iaX1umHKz0SivO/wDhVyf9Dt40/wDBuf8A4mj/AIVcn/Q7eNP/AAbn/wCJo+t0w5WeiVk6L/x9az/1/n/0VHXI/wDCrk/6Hbxp/wCDc/8AxNTfDCOa1HiOwlvru8W11SSJJruUySMAAMs3c4ApxrRqSSiRNWkjvqKKK6CjkvEfw90nXboajbNLpesod0eoWR2Pn/aA4b+fvWKni7xJ4LdbfxpYm804HamtWCZAH/TVB0PuMewNej0josiMjqGRhhlYZBHpXfTxz5VSrrniu+69HuvTVeRLj1WhV03VLHWLJL3TruK6tn+7JE24fT2PtVuuB1L4cmxvX1bwXftomoNy9uObWf2ZO34Dj0715tZam2qeMNXtfGnirxBol2Lnyo106/aK0RgoymeQvYjtg880VMHGcXUwr50vs/aXy6+qv5pCUraSPoeivOU+GMMiK6eOPGbIwyrLrGQR6j5ad/wq5P8AodvGn/g3P/xNeP8AW6Zpys9Eorzv/hVyf9Dt40/8G5/+Jo/4Vcn/AEO3jT/wbn/4mj63TDlZ6JRXnf8Awq5P+h28af8Ag3P/AMTXJ+FPCl1rniLxRp914y8WrDpV4sEBj1VgzKQT82QcnjtimsTTab7BZnuFFed/8KuT/odvGn/g3P8A8TR/wq5P+h28af8Ag3P/AMTS+t0w5WeiUV53/wAKuT/odvGn/g3P/wATR/wq5P8AodvGn/g3P/xNH1umHKz0SuK+IGg3NzDa+IdFIXXtIJlgA/5bx/xxH1BGcD6jvVD/AIVcn/Q7eNP/AAbn/wCJrwjR/A8njX4ia/pM2tXKNZSTEXVwpuJJAkoQbiWGTg9a1pZrTwl8S3ZR306bNNdnsDg5aH1H4b8R2PibQbXVbRwEmX5oyfmjcfeU+4P+Na3mJ/fX86+WfEnwkXQLzS0vdaJ065k8l78WuPIc/dDLv6H1z6/juf8ADO6f9DQf/AD/AO2Vz4/OMsoKFeFT93UTcXaXR2aem8Xo/k9mhxpzeltUfRXmJ/fX86PMT++v5186/wDDO6f9DQ3/AIAf/bKP+Gd0/wChob/wA/8Atled/rLlf/P3/wAll/kX7GfY+ivMT++v50oIYZBB+lfOn/DO6f8AQ0N/4Af/AGysT4Y+FXufiRr3hr+3dXsobKOfM2m3Bt2laOZYwW68YYnH6114XN8Hi+ZUJ3tq9GvzSJlTlHc+p6K87/4Vcn/Q7eNP/Buf/iaP+FXJ/wBDt40/8G5/+Jrp+t0yeVnolFed/wDCrk/6Hbxp/wCDc/8AxNH/AAq5P+h28af+Dc//ABNH1umHKz0SivO/+FXJ/wBDt40/8G5/+JqHwDBd6T8QvFWhPrOq6lZ2sFo8J1G6MzKXVi2Cen4DsKunXhUdog1Y9KooorYQUUUUAFFFFABRRRQAUUUUAFFFFABXnXwj/wCRVv8A/sLXf/odei1518I/+RVv/wDsLXf/AKHXLjP4ZUdzvqKK57xdr82iW2nQWiob3U76KxgaQZWMvklyOMgKCcdzivNSbdkUdDRXMT6rd6H4r0fS7q7e8tdWWWOOSVEV4po1DgZQAFWXd2yCBzzXT0NWAr33/IPuf+uTfyNeI/Br/jy1b/rpH/Jq9uvv+Qfc/wDXJv5GvEfg1/x5at/10j/k1b4fc9TA/wAGp8j0+iiius0CiiigBsv+qf8A3TXBfAH/AFOv/wC9b/ykrvZf9U/+6a4L4A/6nX/963/lJWGI+EdT/dqny/M9moork01fWI/iNa6LdTWrWcumzXWyGEqQyyIoyxJzwT0A6965ErnjHWUVj6jNqb61Y2NrDNHZSxyPPexbCYmXG1cNnrk9j07c1m+F9cvr7xD4k0a7cXMWkzxJDeBQplDpvKNjjch4JAHUcU+V2uB1Vef/AAt/1njX/saL3/2WvQK8/wDhb/rPGv8A2NF7/wCy04/BID0CiiuTm1fWLf4haXo881qbK7tbmcpFCQwKFAuWLHP3uwH41KVwOsornPEVt4nu9QtE8P6lbWEUcbtcNc23nLISV2ADIIIw3fuKqeHh4sOv3EWq6xYXtjbx7ZPs9mYj5pwQoJY9F5P1X3w+XS9wOurjPh5/yE/F/wD2GZf512dcZ8PP+Qn4v/7DMv8AOujCfGZ1N4ndUUUV6YBRRRQAV5j4S02y1bxD4/s9QtYrm3fVhujlUMPuDn2PvXp1ed+Af+Rt8ef9hYf+gCsMRKUIc0XZoaK7+EfEPg2RrjwXem6sM7n0a+fK/wDbJz90/X8SelbPh34gaXrd0dNu45dK1lDh7C8Gx8/7JPDfz9q6yvLfE2nR+OPh7N4mZys0MEtzDbz2wj8sR5yhYgSA/KRkMFJ5xjiqjjaWL93HR1/nXxf9vLaXzs/7wcrj8P3HqVFePafqfjbQ9D0m+s/teu+H763S4LKqte2aFQ23JBD9cZwc4P3eK6PwL46/4SbxDq2nQ3DXdnbwxTwzyxCOZC2Q0cigAEgjggdPXrXNiMvnSi6sGpwTtzL8mnqn6+dr2GpX0e531edfDv8A5Hb4gf8AYTT/ANBavRa86+Hf/I7fED/sJp/6C1ckPhl/XUo9Foorizq2q6t4Tu/EWl6hJbTQrNJFZ3FqoiPlk/I+4b8nbgsrAc8dKhRuB2lFcX/aXiHxXoOgal4duodM+125ubhriDzlHCgR447sSDx92n6KvjBfEv2fUta068sYIy1yLexMZDkfIm4sef4j6DH94VXJ3YHY189fC7/ks3jD63P/AKUCvoWvnr4Xf8lm8YfW5/8ASgVxZj/yL6/p+pUPjR7Fq+lWut6Vc6bepvgnQqw7j0I9wcEfSuc8D32oW4u/DOrh2vdK2rHcEHE8B+42fXjH/wBfNdhXKahf61HoWu6pLJJpklg05to3WN4pY4xlXbgthu/II/U/F4PFylg6mBmk4yacbu3LO9rrR3urqS66PojplH3lI6uisjTL7UNX8NadfxRw2l1dQRzSJMjOI9y5IwCCevqKq+B9XvNd8IWWpX7I1zM0u8ou1flldQAPoBXnyw8owlN/Zdn6u/8AkyrnQ14t8Kf+S+eMP929/wDSpK9prxb4U/8AJfPGH+7e/wDpUlfS8K/HW/wr8zGv0Pf6KK5S9vNbbTdfv5ZZdJ+wNL9lDLE8U0aJuEjZBbBOcjK4HvzX1SVzA6uiuNOta5rXgLR9R04wadquo+Qf30ZeNd3J464IHHfBrY0G18Qwh5df1OzuZCAqw2dsY419yWJZj+Q9qbjZagbVcJ4Z/wCSy+Nf+vWx/wDQDXd1wnhn/ksvjX/r1sf/AEA10YP+J8hS2PQqKKK9MgKKKKACiiigAooooAKKKKACiiigArzr4R/8irf/APYWu/8A0OvRa86+Ef8AyKt//wBha7/9Drlxn8MqO531YHizS7TU7KxM97DZ3FrfQ3NlNMQF89ThVIJG7dkrgHPPHNb9U9S0u01a2SC7j3rHIs0bA4aORTlWB7EGvNi7O5RxfiK1vtS+IvgxJhGjW0lzctHA5cJGsYBdiQOrMigY9eTnj0Cs+x0e1sLma7UyzXcwCyXE7l3Kjoo7KoyeAAMknqa0KcpXsuwFe+/5B9z/ANcm/ka8R+DX/Hlq3/XSP+TV7dff8g+5/wCuTfyNeI/Br/jy1b/rpH/Jq2w+56mB/g1Pken0UUV1mgUUUUANl/1T/wC6a4L4A/6nX/8Aet/5SV3sv+qf/dNcF8Af9Tr/APvW/wDKSsMR8I6n+7VPl+Z7NXF3X/JZ9N/7AU//AKOjrtKwZfB+jzasNUdb77cqGNZhqNwCqE5KjEnAzzjpXLBpXueMWLnU7G41s+HJDci6ktftRMW9AI9+3/WLjByDxntXOeE7x9O8b+IPCcaiSztEjvIZiP3gMgyyyN/Gc8hj8xHUnrXW3mmwXkqTF5YbiMFVmhcqwB7Hsw9iCKi0vRLHR2uZLWNvPun8y4nkcvJM2MAsx54HAHQDoBTTSTQGjXn/AMLf9Z41/wCxovf/AGWvQK8/+Fv+s8a/9jRe/wDstEfgkB6BXGar/wAld8Of9g28/wDQo67OsK48IaPdasmqTLfG9jDKko1G4UoG5YKA+AD6DjgelKDSeoFvxBqqaF4d1HVXXcLO2km2/wB4qpIH4nio/DELQeF9NEjb5nt0lmc9XkcbnY/ViT+NWNW0i01vRrnSr1Xe1uY/LkAcgkfXrVuGFLeCOGIbY41CKPQAYFK65bAPrjPh5/yE/F//AGGZf512dcZ8PP8AkJ+L/wDsMy/zrpwnxmdTeJ3VFFFemAUUUUAFed+Af+Rt8ef9hYf+gCvRK878A/8AI2+PP+wsP/QBXPiv4THHc72ua8QW03ihZdAt5Gi09js1K5XqU7wp/tMOGP8ACDjqeOlri3+E/gyR3d9MuGZ2LMTqNzkknJJ/edSa8yDSd2Wa8eq6Ok2m6BbCZVu7Qvai3R0RYkAH3xjbxjHP9K86ufCNlcfFK80O1mubS5GnjU7bU4HPnwuZNjJI3WQHrlju7Zx09ROiWQtLS3hSS3WzjEVu8MjK0aAAbc55GFHByDgZ6Umm6FY6XdXV3CjveXZU3FzM5eSTaMAEnoB2AwB6V0YfFVMNP2lGTT/r8PITinozjE8WeI/Bjrb+MrI3mng7V1mxTIA/6aoOh9xj2zUHwvu7fUPFPjq8tJVlt59QjkjkXoylTg16W6LIjI6hlYYKkZBFeI+HfDGoz+MfGU/hjVP7JutP1AJDAEH2eVCCdjr6Z6HBxnpXoRnhMZGXOlSn3XwPXqt4+quvJEWlHzR7fXOeIIrjxEk3h+zlaG2kGzUbteqRkcxJ/tsDgn+EHPUisbT/AIiPp96mleNNPOi3zcJc/etZ/dX/AIfxPHc9qsN8LfBd27XJ0+eUzMZGkGpXJ3ljknPmc5zmuGvg6uFkvbLR7Nap+ad7MpSUtjoI7nTtH8NNPaoE06wtmKKgwBHGDwM+y1U8EtJceDtMvp8G4v4RezH1eX5z+A3AD0AA7VebQ9PPh1tBEJTTjamz8pXOREV2Y3Zz075zVmwsoNN061sLVStvbRJDEpOcKoAAz9BXK2rFFivnr4Xf8lm8YfW5/wDSgV9C189fC7/ks3jD63P/AKUCuPMf+RfX9P1Kh8aPb65TUG07xf4Yub+2luY0iEnltKGVN8ZOC0TfI65H8QP4EcdXWTd+HbK8hnt3e5S1uM+dbxzsscmfvDA5AOTkKQDk56mvzzD1IQlzNtNNar8dDrauQeDNbm8R+ENM1a4hEM1xFl0XpkEqSPY4yPY1m/C//knemf70/wD6PkrpH021awjskV4LeMBUS2laHaAMAAoQQMdqraN4d03w/ALfTI54YACFia6lkRcnJwrsQOcnj1NbTr0XTqRimuaSaXRJc2l7+fYSTujUrxb4U/8AJfPGH+7e/wDpUle014t8Kf8AkvnjD/dvf/SpK97hX463+FfmZV+h7/XLXQ0zxxoN48M13FHDJLAGfcib0PJaNvkkXI/iBBrqayLvw5ZXkdxC0l1Fb3O7z4IZ2RJN33uB93OTnbjOTnrX1cWkYHL+G/E0Pizwd4Zn1jTLh59SlZdtsh8tWiLAu2Dwh29OR82ORVmZ/wCyPilpOn6bGsVrf6fO13bxAKi+WV2SbRwDliue4wOwx1B0ixGn29jFAILe2C+QsBMZiwMDaR04yPcEg8E0yx0SzsLya9XzJr2ZQklzO5dyo6KOyrnnAAGeetVzR1sBo1wnhn/ksvjX/r1sf/QDXd1wnhn/AJLL41/69bH/ANANbYP+J8hS2PQqKKK9MgKKKKACiiigAooooAKKKKACiiigArzr4R/8irf/APYWu/8A0Ou71OR4dKvJY2KukDsrDsQpxXzD4P8ABMni62u7j+0zamGQKQYt+4kZzncK5sSuZKJ24TCqspScrJeVz6horwP/AIU3J/0MH/kqf/i6P+FNyf8AQwf+Sp/+Lri+ryOr6hS/5+fge+UV4H/wpuT/AKGD/wAlT/8AF0f8Kbk/6GD/AMlT/wDF0fV5B9Qpf8/PwPdL7/kH3P8A1yb+RrxH4Nf8eWrf9dI/5NUP/Cm5P+hg/wDJU/8AxdVPAXg46tpN5cpr+sac0d5JblbC48pX2YAJ4OTya1pUnF3ZtCEKFOUYy5m7dLbHsFFcT/wryb/odPFX/gf/APY0f8K8m/6HTxV/4H//AGNdFl3M+aX8p21FcT/wryb/AKHTxV/4H/8A2NH/AAryb/odPFX/AIH/AP2NFl3Dml/KdpL/AKp/901wXwB/1Ov/AO9b/wApKs/8K7mIwfGnioj/AK//AP7GuF8NfDs+IYtRlj1U2y2l/LZhTDvLbMfNncOuelZVYOS0NIuM6cqU3y3t57H0vRXgf/Cm5P8AoYP/ACVP/wAXR/wpuT/oYP8AyVP/AMXXP9XkY/UKX/Pz8D3yivA/+FNyf9DB/wCSp/8Ai6P+FNyf9DB/5Kn/AOLo+ryD6hS/5+fge+V5/wDC3/WeNf8AsaL3/wBlrg/+FNyf9DB/5Kn/AOLrE8OfDt9ebVgNW+z/ANn6jLYn9xu8zZj5/vDGc9OfrVKjJRaE8DSvb2n4M+l6K8D/AOFNyf8AQwf+Sp/+Lo/4U3J/0MH/AJKn/wCLqfq8h/UKX/Pz8D3yivA/+FNyf9DB/wCSp/8Ai6P+FNyf9DB/5Kn/AOLo+ryD6hS/5+fge+Vxnw8/5Cfi/wD7DMv8682/4U3J/wBDB/5Kn/4uoPhn4cn1671KzXxDrelpbIjf8Sy68nzCWYZYYOelaU17GXNI58Tgowipxne3lY+iqK87/wCFZTf9D740/wDBp/8AY0f8Kym/6H3xp/4NP/sa6frdM4eVnolFed/8Kym/6H3xp/4NP/saP+FZTf8AQ++NP/Bp/wDY0fW6YcrPRK878A/8jb48/wCwsP8A0AUf8Kym/wCh98af+DT/AOxrivB/gibUfFfjCzHi7xLaiyvUTzbe+2vOSp+aQ4+ZuOtRVrQqwaTGlZnuVFef/wDCsJ/+h+8Zf+DL/wCxo/4VhP8A9D94y/8ABl/9jXDyw/mKPQKK8/8A+FYT/wDQ/eMv/Bl/9jR/wrCf/ofvGX/gy/8AsaOWH8wHoFedfDv/AJHb4gf9hNP/AEFql/4VhP8A9D94y/8ABl/9jXGeDPA0uoeKPF9sPFviS1NnfLGZbe92vPwfmkOPmb3rSMY8stf6uI9p1HTbLVrJ7PULWK5t3+9HKoYfX2PvXCP4R8Q+DXa58F3purDO59Gvnyv/AGyc/dP1/EnpUv8AwrCf/ofvGX/gy/8AsaP+FYT/APQ/eMv/AAZf/Y104XGzw6cFJOD3i1eL+XfzVn5ilFM0/DvxA0vW7o6bdxy6VrKcPYXg2Pn/AGSeG/n7V1teZX3wWsdTljk1HxV4kvXj+4bm6SQr9NyHFc7r/gnxl4fuhcw+I/EuqaKo+ZLDUGjuIl/3TuDAe36V0/VMHjH/ALLPkl/LLb/t2T/KVn5snmlH4j2+vnr4Xf8AJZvGH1uf/SgV1Xh3w5pvim2M2l/EnxhI6/6yB9S2yx/7ylc/j0968h0PwFJ4t+IGv6OurSQtZyzubmZPNeXbLty3I5Ock15GYYVU8NWo4iThprdPTXtuaQldprU+o6K8M/4Z7uP+hoX/AMAz/wDHKP8Ahnu4/wChoX/wDP8A8cr4X+z8s/6DP/JJf5nVzz/l/E9zorwz/hnu4/6Ghf8AwDP/AMco/wCGe7j/AKGhf/AM/wDxyj+z8s/6DP8AySX+Yc8/5fxPc68W+FP/ACXzxh/u3v8A6VJVX/hnu4/6Ghf/AADP/wAcrD+GXhGS6+JuuaCuualYNYQzobvTpfJkl2TImD1+U9ceoHpX0GQYbCUnVdCvz3WvutW18zGrKTtdWPqWivP/APhWE/8A0P3jL/wZf/Y0f8Kwn/6H7xl/4Mv/ALGvb5YfzGZ6BRXn/wDwrCf/AKH7xl/4Mv8A7Gj/AIVhP/0P3jL/AMGX/wBjRyw/mA9ArhPDP/JZfGv/AF62P/oBqL/hWE//AEP3jL/wZf8A2NcfoPgia5+J3ivTD4u8TRGzitD9qivts026POJG2/MB0HpXRh3CEnK/QTPd6K87/wCFZTf9D740/wDBp/8AY0f8Kym/6H3xp/4NP/sa6frdMnlZ6JRXnf8AwrKb/offGn/g0/8AsaP+FZTf9D740/8ABp/9jR9bphys9Eorzv8A4VlN/wBD740/8Gn/ANjXKaV4Z1K++I+v+HZPHHi1bTToIJYnXUzvYuoJ3HGO/YCmsTTdwsz2+ivO/wDhWU3/AEPvjT/waf8A2NH/AArKb/offGn/AINP/saX1umHKz0SivO/+FZTf9D740/8Gn/2NH/Cspv+h98af+DT/wCxo+t0w5WeiUV53/wrKb/offGn/g0/+xqv4Mgv9F+J2s6DLr2rapZx6bDcJ/aVyZmVy5BxwMVdOvCbtEGrHf6x/wAgS/8A+vaT/wBBNeJ/Bv8A5BWp/wDXdP8A0GvbNY/5Al//ANe0n/oJrxP4N/8AIK1P/run/oNKr8SPVwH8Gp8j0uiiioNgooooAK4X4Vf8i7qP/YVuP5iu6rhfhV/yLuo/9hW4/mKpbES+NfM7qiiipLCiiigAriPhn/x4eIP+w7df+y129cR8M/8Ajw8Qf9h26/8AZaa2Il8a+Z29FFFIsKKKKACvN/DU0tvovjeWGRo5F1+6w6nkcoOK9IrzTw//AMgDxz/2MF1/6ElUjOpuvmdt/Yn/AFFNS/8AAj/61H9if9RTUv8AwI/+tWrXNeL9Gg12C209sx3Fw7ItwhIeJQpbcCP9oKD/AL1JFSSS0Rof2J/1FNS/8CP/AK1H9if9RTUv/Aj/AOtWR8O9Xn1PwrHb3xP9o6dI1ldBjk704BPrkY59c1P4f0HToNQvtUgtyGa6dIQXYiNUHlsFBOBllc/jTJTTSaW5YktpdO1bSwl9eSpPM8ciTS7gQInb09VFc78FP+Q3r3/XNP8A0N66nVf+Qvof/X1J/wCiJK5b4Kf8hvXv+uaf+hvXNiNkTW/hv1/Q9moorh5da1a/8Dz+LNMv5IJI4JblbG5tQsRWPOY2yA+flI3BgM8gY4rkUbnmncUVhW+r3eseE7LWdN8i3NzarclbhGk2gpuxgFcnPHWk8E6rda34K0jU71la6urdZJCq7QSfQUOLSuBvV5z8PP8Ake/iD/2EYv8A0Fq9Grzn4ef8j38Qf+wjF/6C1XD4Zf11A9Goork77V9Ys/H2g6VJNamx1Bbt2SOEhwIlUrlix/v9gOlQlcDrKKo6q99HZPJYSW6SIrMxnjZxgAngBh/Os/wTqt1rfgrSNTvWVrq6t1kkKrtBJ9BRbS4G9XnXw7/5Hb4gf9hNP/QWr0WvOvh3/wAjt8QP+wmn/oLVcPhl/XUD0WiiuT1TWNYsfHXh3TDNa/YNRkut6JCd+2OIsuWLHuR0A6dahK4HWUVgeKpNaFvp8GgXdta3txd7N9zF5iFRFI5BA552jkVZ0K11yCKR9d1G2up3xtjtLfyoowPTJLMT6k/hRbS9wMnxF4A0rXboajbvLpesIcpf2Z2Pn/aA+9/P3rwzwNrkHhT4ka/c6o1xc/NNBd3EUWdrecMyEDopI/UV9P188/DFVf4yeMUdQysboEEZBH2gV04jMv8AhPq0sZH2lNLa9pJX+zLVr01XkKMPfTjoz2bT9Rs9Vs0u7C5iuLd/uyRtkfT2PtVquKvfAItL46l4Uv20a8Y5kiUbreX2ZOg/D8u9XNW1XV9P8U+HrIzWv2S/uZY5FSE7yFiZh8xY45A6Dt1r83xeCwjkpYGtzRabtJNSjZXs7Xi9NmnrbVR2OyMpfaR1NFc/4g1qez1bRdFsyqXWqzSKJmGfKjjTe7Ad2xgDPGTk5xgtg1W4sfGCaDdztcR3Vo1zbTOqq4ZGAdDtAB4KkHA79eK4VhZuCl3TaXknZv8AB/cVzI6KvFvhT/yXzxh/u3v/AKVJXtNeLfCn/kvnjD/dvf8A0qSvo+Ffjrf4V+ZjX6Hv9FFcpBe6n4hsNRu9M1Gaxntbma3igktV8stGSBv3ruYNwcqVxnHUEn6pK5gdXRXDWnibVvFHw80jWNGeCw1HUJETM0fmRqwYq4x1wSpx3wa39BtfEMIeXX9Ts7mQgKsNnbGONfcliWY/kPam4W3A2q878Mf8lq8d/wDXGx/9FV6JXnfhj/ktXjv/AK42P/oqqhtL0/VAz0SiiuXtrzUPEaao+n6lPp8tldy2kcbWqlCycbn3rl1OQcqV4OOoJqErgdRRXnmn/EG61rw74YaCGO21PXLl7ZzjckPlbvNdQev3flB4+YZzjndXVrrSvGdnoV5ctdQajayTWs0iqsiyREb0O0AEFWBHGRg9cjFOm1uFzpq858O/8ly8Zf8AXnaf+gCvRq858O/8ly8Zf9edp/6AKdPaXp+qA9Goormbi41mePXJpZZtJjsiwtH2xPHMgQN5jZBOM5yPl49+ahK4HTUVx+meI9a1nwNoWrQaYwvNRaJbhYsfuI2JDSqGPIwAQDn7w645fFrGoWPxFh8OvcNfWtxp7XZeRFEluyvt5KgAq3QZGcjrT5HqB1tcJpP/ACXPXP8AsDQf+hmu7rhNJ/5Lnrn/AGBoP/QzXRg/4gpbHa6x/wAgS/8A+vaT/wBBNeJ/Bv8A5BWp/wDXdP8A0GvbNY/5Al//ANe0n/oJrxP4N/8AIK1P/run/oNdlX4kengP4NT5HpdFFFQbBRRRQAVwvwq/5F3Uf+wrcfzFd1XC/Cr/AJF3Uf8AsK3H8xVLYiXxr5ndUUUVJYUUUUAFcR8M/wDjw8Qf9h26/wDZa7euI+Gf/Hh4g/7Dt1/7LTWxEvjXzO3ooopFhRRRQAV5p4f/AOQB45/7GC6/9CSvS6808P8A/IA8c/8AYwXX/oSVSMqm6+Z6XWYn+keJJG/htLYICP70jZYfgI0/76rQmErQuIXRJSp2M6llB7EgEZHtkfWsnRdM1TT7q9lv9Ut7xbqTzSI7QwlG2qoAO9vlAUcYz70jR7o5S9ul8F/Em5u3BGna5aNKQOguIVJ/VfzLV3OlWrWWlWttIQZY4lEjD+J8fMfxOTVLxB4dtPEUdit1wbO7jukOM5KnlT7EZFbFDZMYtN9jJ1X/AJC+h/8AX1J/6Ikrlvgp/wAhvXv+uaf+hvXU6r/yF9D/AOvqT/0RJXLfBT/kN69/1zT/ANDeufEbIit/Dl6/oezVzXiC2m8ULLoFvI0WnsdmpXK9SneFP9phwx/hBx1PHS1xb/CfwZI7u+mXDM7FmJ1G5ySTkk/vOpNcsGk7s806MfZB4cxYKq2a2pEAQYUIFwuB6YxWL8Mv+SaeHv8AryStqXRLGXSYdL2zx2cMYiSOC5kiIQLtC7lYEjHqabougad4etFtNMSeK3RQqRPdSyqgHZQ7HH4U7rlaA0685+Hn/I9/EH/sIxf+gtXo1ec/Dz/ke/iD/wBhGL/0FqcPhl/XUD0auL8Qf8lT8F/9e+o/+gRV2lYd34R0e+1WLU7hL1ryHf5Uo1C4Xy9/3goDgKDxwBjgVMGk9QNS/wD+Qddf9cX/AJGuc+GX/JNPD3/Xklb97pltqFmLS4a48oDH7q5kjYjGOWVgT+JqDRdA07w9aLaaYk8VuihUie6llVAOyh2OPwouuWwGnXnXw7/5Hb4gf9hNP/QWr0WvOvh3/wAjt8QP+wmn/oLVUPhl/XUD0WuL8Tf8lK8C/wC/ff8Aoiu0rDvfCWkajqkGpXSXjXduzNDIuoTp5RYYbaFcBcjg4HSpg0nqA7WJLC41jSdKvbK5uXnaW4iZEJij8tMEyEHoRJgA5BJrEtZW074syaRYqI9PuNGF3NAgwkcqy7FcDoCykg467R6V1VxpsFzBDGxlVoceVKsrCRTjH3s5PvnOe+ai07RrPTJri4hV3urkqZ7iZy8kmOACT0A5wBgDJ45pqSSA0K+evhd/yWbxh9bn/wBKBX0LXz18Lv8Aks3jD63P/pQK4sx/5F9f0/UqHxo9vrkPFP8AyOngv/r8uP8A0Q1dfWNf+F9K1K/hvrpLt7iBi8LrfToIyRglQrgDI44FfnuFqQp1HKd7Wa08013Xc65K60I9f023utR0a+F1Bb6jZ3DG085sCbchV48deVz0yRjODgisOa1u7z4taXPLsBstNmkkSJiyRh2CpkkDJYhz0H3fbJ6q70e0vYrVZBJ5lo2+3m3kyRttK53HOTgkHOc5p1hpdrpxmeFXaadg000jl3kIGBknsOw6DsBW1PFKnC17uzivK9/w1b9fITjdl2vFvhT/AMl88Yf7t7/6VJXtNeLfCn/kvnjD/dvf/SpK93hX463+FfmZV+h7/WDrzXeqpLoemSmGSVdt3eAZ+zRnqF9ZGHQds7j2Db1chd/DDwjfXs95c6dcSXE8hklf+0LgbmPU4EmK+rjZO7MCYw6DZafonh+3sLmayM7W8CwIxWNod24yHI+XKkEnO4nnINUpn/sj4paTp+mxrFa3+nztd28QCovlldkm0cA5YrnuMDsMdHb+H9NtNIttLtYXhtbXmDZK2+M88h87s8nvzkg5Bp1jolnYXk16vmTXsyhJLmdy7lR0UdlXPOAAM89afMgNGvO/DH/JavHf/XGx/wDRVeiV534Y/wCS1eO/+uNj/wCiqcNpen6oGeiVh65PeXqvo2ky+VdzLia7xkWkZ/i93IztH4ngc7lcjffDLwnqWoXF9d6fcSXNxIZJX+33A3MfYSYHpgcADFTG19QIp/DmiW2l6Bb6XcwWT6PebNPMzYEsgDLJEc4LFvnyRzkZ5wRVPUbS8v8A4u+GZpditYWV3PLFE5ZY0cLGpLEDJYlu38PsTXSx+FNHg0iy0y3tmht7GXzrUrIzPDJ83zBmJJPzN1z1q5p+kWumyTzRB3uLggzXEzl5JMdASegHOAMAZOBzVc/6gXq858O/8ly8Zf8AXnaf+gCvRq858O/8ly8Zf9edp/6AKKe0vT9UB6NXNSrpfjnTL+COW8RLe4ls3b541MiHDZQ/LIuezAqeQR1rpayrvw/aXQnXzbqCK5z58UE7IsmevA+6T3K4J71EWkBzHg3x1Hqvg/QbjVYmju9Sneyj+yxNsdkLDcMfdXC/h9BSSznwx8T9I061DT2+vwzef5zGSWJoV3KwkbLFSCRtJIHbHOetGiacmm2+nw2wgtrbH2dYCYzFgYBUjBBwSPfJz1NR2nh+xtdUbVG8241BovJFzcOXZY852r2UZ64Az3zV80btoDUrhNJ/5Lnrn/YGg/8AQzXd1wmk/wDJc9c/7A0H/oZrbB/xBS2O11j/AJAl/wD9e0n/AKCa8T+Df/IK1P8A67p/6DXutxAlzbS2752SoUbHXBGK8U/4UJexOwg8TKqE8f6OwJHvhq7asZNppHoYGtShCcKkrXseg0V5/wD8KJ1P/oaR/wB+G/8AiqP+FE6n/wBDSP8Avw3/AMVWfLPsdXtMN/z8/BnoFFefD4Fakc48Urx1/ct/8VS/8KJ1P/oaR/34b/4qjln2D2mG/wCfn4M9ArhfhV/yLuo/9hW4/mKh/wCFE6n/ANDSP+/Df/FU1PgLqEYITxMignJC27Dn/vqnadtiXPDOSftPwZ6FRXn/APwonU/+hpH/AH4b/wCKo/4UTqf/AENI/wC/Df8AxVLln2K9phv+fn4M9Aorz5fgXqLjK+KkYZxxCx/9npf+FE6n/wBDSP8Avw3/AMVRyz7B7XDf8/PwZ6BXEfDP/jw8Qf8AYduv/Zarf8KJ1P8A6Gkf9+G/+KqpYfBS+u1uDF4hWERTvEwELfMynBb73ej31pYzlUw3Ov3nfoz0uivP/wDhROp/9DSP+/Df/FUf8KJ1P/oaR/34b/4qjln2NPaYb/n5+DPQKK89X4Gai+dvitGwcHELHB/77p3/AAonU/8AoaR/34b/AOKo5Z9g9rhv+fn4M9ArgfBNlHqFp4ytJWdEl8QXYLJjcOV5GQRTf+FE6n/0NI/78N/8VTV+A2opnZ4mRdxycW7DJ9fvU0p9iXLDNp+0/BnX/wBl3n/Qf1H/AL92/wD8ao/su8/6D+o/9+7f/wCNVyX/AAonU/8AoaR/34b/AOKo/wCFE6n/ANDSP+/Df/FUWn2Dnw3/AD8/BnW/2Xef9B/Uf+/dv/8AGqP7LvP+g/qP/fu3/wDjVcj/AMKL1LcF/wCEqXcRkDyWzj/vul/4UTqf/Q0j/vw3/wAVRafYOfDf8/PwZ1sejv8AbLe5uNTvLo27F40lEQUMVK5+RFPRj3rk/gp/yG9e/wCuaf8Aob0n/CidT/6Gkf8Afhv/AIqrnhj4T3Ns9+I/Fmp2UsMwt2bT8ReYAobLZzn7/wCnvWVSlOdlaxhiatBU+WErt+TPW6K4X/hWmof9FA8U/wDgSv8A8TR/wrTUAMn4g+Kf/Alf/iaj6lLuedzHdUVwn/Ctb/j/AIuD4p56f6SvP/jtL/wrTUP+igeKf/Alf/iaPqUu4cx3Vec/Dz/ke/iD/wBhGL/0Fquf8K01D/ooHin/AMCV/wDiap2nwgexuru5tfG3iOGa7cPPJHMgaRgOCx28nrVRwkkmr7i5j0aiuF/4VpqH/RQPFP8A4Er/APE0f8K01D/ooHin/wACV/8Aian6lLuPmO6orhP+FbX+7b/wsLxRuxnH2pc4/wC+aX/hWmof9FA8U/8AgSv/AMTR9Sl3DmO6rzr4d/8AI7fED/sJp/6C1W/+Faah/wBFA8U/+BK//E1TtPhA9hc3dxa+NvEcMt24kneOZQZG9WO3k9aqOEkk1fcXMejUVwv/AArTUP8AooHin/wJX/4mkb4a36qWb4heKAAMkm5Xj/x2p+pS7j5ju6K4X/hWmoEZHxB8U/8AgSv/AMTR/wAK01D/AKKB4p/8CV/+Jo+pS7hzHdV89fC7/ks3jD63P/pQK9L/AOFaah/0UDxT/wCBK/8AxNcNf/s63kuqXN3a+LXAmcuXmtyZCScncwYZOe+BWeIy6VbD1KHNbmVrgp2aZ67RXjf/AAztrH/Q4j/wHf8A+Lo/4Z21j/ocR/4Dv/8AF18z/qZL/n9/5L/wTf6x5HslFeND9njVixUeM1LDqBA2R/4/S/8ADO2sf9DiP/Ad/wD4uj/UyX/P7/yX/gh9Y8j2SvFvhT/yXzxh/u3v/pUlS/8ADO2sf9DiP/Ad/wD4utjwx8BrvQr6e9PjK+guJEMfmaenlMQSCQzEnIJA49q9fKsgeXub9pzcyttb9WZ1KvPbQ9iorhf+Faah/wBFA8U/+BK//E0f8K01D/ooHin/AMCV/wDia9P6lLuRzHdUVwg+G1+WKj4heKCw6j7UuR/47S/8K01D/ooHin/wJX/4mj6lLuHMd1Xnfhj/AJLV47/642P/AKKq1/wrTUP+igeKf/Alf/iaqQfCB7fUrrUIfG3iNLu6CCeZZlDybRhdx284HSqjhJJNX3FzHotFcL/wrTUP+igeKf8AwJX/AOJoPw11AdfiD4pH/byv/wATU/Updx8x3VFcIfhrqCgk/EHxSAOSTcr/APE0L8Nb9lDL8QvFBU8gi5Xn/wAdo+pS7hzHd15z4d/5Ll4y/wCvO0/9AFXP+Faah/0UDxT/AOBK/wDxNU4fhA8Gp3GpReNvEaXlyqrNOsyB3C8AE7eQOKqOEkk9dxcx6NRXC/8ACtNQ/wCigeKf/Alf/iaD8NdQAyfiD4pA/wCvlf8A4mp+pS7j5juqK4X/AIVpqH/RQPFP/gSv/wATQPhrqBGR8QfFJH/Xyv8A8TR9Sl3DmO6rhNJ/5Lnrn/YGg/8AQzS/8K01D/ooHin/AMCV/wDia0/C3gOLw1rV5q8utanql7cwrA0l9IrEIDkAYArahh5U5czYm7nXUUUV1khTJolnhaJywVhg7HKn8wQRT6ZKZBExhRHkA+VXYqCfcgHH5Gmr30A5bwGix2uuRoMKmtXaqM5wA3FdZXOeFdL1XSTqSX8dmEu76e8VoJ2cr5jAhSCi9Oec/hXR1042SlXlJO9yY7BRRRXKUFZuu2F1qekyWlncpbyu6Eu6b1KhwWUjIyCAR+NaVUtW/tI6XONIFt9vK4iNy5WMH1JAJ4HOMVpSbVSLjvfrt8xPY5mO2WP4nxDR4VhtoLBl1Tyl2xsxIMKkDjeBuPqFPoRXZ1y/h+x8TWtzFFqMWjwWKbpHNnPLJLNIR1cugznJJOc5ArqK3xkryjG6dla9799/60VkKIVkaB/q9R/6/wCb/wBCrXrI0D/V6j/1/wA3/oVcT+JCfxI16patYHVNJurEXMtsZ4ynnRY3Ln0zxV2s7XbG71LRp7WxvZbK4cqUmibawwwJGcHGQCM4OM9D0ral/EjrbVa9vMp7HN2kMf8AwsiH7P8A6DHb6a0bROgja9ywwwUcFUx16gtjGDXa1zE+iX2reMtI1q7RLWDSophHGsm95ZJQFOcDAUAcdyewrp66MXNS5LO75dfJ3fXrpr5Xt0FHqFFFFcZQVHNNHbwPNK22NFLMfQVJUF3Zw31uYJw5QsrfJIyEEEEEFSCOQKcbXXNsByth9oPxOkkuSweXRg4iJ4iHnEBfrgDPvntiuxrkLfwzqEHjv+2AENiLUWyq2pzvJkOW3EEYIwcbCcV19deMlGUouLvov63ZMQrJ0X/j61n/AK/z/wCio61qydF/4+tZ/wCv8/8AoqOuGW6FL4ka1VNVjebSL2KNS0jwSKqjqSVOBVuqerWT6lpN1ZR3Etu80ZRZYnKsp9QRyPwrWm0ppvuWzmdC0rw/4X1WztodGawur5GS3lklMuSo3NHksdhxk4HBx7Yrsq5u40e81XW9HubuNLe20pmlC+d5jzSlCg5wPlAJOTyTjgV0ldGLn7Rxm5Xk1rrfq+uvSxMVYKKKK5CgrE8YavLoPhDVdUgx51vbs0eRkBzwp/Mitus7XtJi17Qb7SpmKR3cLRFwMlSRwfwOD+Fa4dwVWLqfDdX9L6id7aHPWUNhZXvhwXUVxbzybzbz+Z/x8ymM7vO7lmG5hnPI6g8V2VcvJouoareaC2opDDHpUnnu0cm7zpQhRdvAwvzEnPPQY711FbYuSk4u93Z369X/AMOKIUUUVyFBVe/tFv8ATrmzdiqXETRMw6gMCDj86sUU03F3QHC23gbwsviOOGw0qOL+zik8zCRz85yUTBYjtuP/AAHsTXdVg+HNJvdOvtfub542a+1Fp4SjZ/dBEVQfQjaeK3q6sZWnUmlKblZLVu/S7/EmKsFFFFchQVFdJJJaTJDKIpWjYJIRnYccH8Klqnq1h/amjX2n+aYvtVu8PmKMlNykZ/DNVC3MruwHA6D4ggvtT0fSbvT00nV4nLif/lneIoIYwyf8tA/XB7c8kCvSq5+70261iKxt76xtoPstzDceckm7a0bBh5YwCM42nOMAnrXQV142pCo04K2+l79ej/Tp8yYpoKKKK4igqpqrXa6PetYDN4LeQwD1k2nb+uKt01wxjYIQHwdpIyAaqLtJMDzOa6h0rwZ4N1O1AGoSXVos0gH7yUyYWcOepySc5/ix3Ar06uUXw/e6k2l/2tDaI9pMlzdTwqA11MgO3AA4Tcd3JzwBgV1dduNqwnZLV3k313ei/rv8iYqwUUUVwFBXIePreM2el3J3+YNVslHzttA89f4c4z74zXX1zvi3S9U1i2tLfT47PbDeQXTPcTshPlyB9oARuuBznv0rqwUlHERk3ZXJlsQeIp2l8XeF9JcBrW5kuJ5kPRzFH8oI7gM4bHqo9KNJn+zePdc0qIBbY21veLGvCo7F1fA7Z2qfrk96uanpV1eXuj6skcIvdOldjEJCVdHQq6hsDn7pGR1XHGc0/S9Jli17VNauVVJrxYoo4gdxjijBxk9MksxOOOnJrf2lNUOW/wBm3/b3Pf8ALr8hWdzaooorziwrkPiJbxt4dS4O/wAxL20VfnbAzcR/w5xnnrjNdfXO+MNK1PWtKWx09LT/AF8MzPcTsmPLkV8ABGznbjPvXVgpKGIhJuyTV/QmWzNm+torq0eOUMUAJwrlc8d8EZHseKwvh2Sfh5oJJyfsafyrama/bTz5dvbG7YEGNrhgg/4Fsye38NZvg/S9Q0TwzY6VqC22+0hWISW8rOHx3wVXHb1pp2w0ot/aWl/KV/zQfaN6iiiuQoKKKKACiiigAooooAKKKKACiiigAooooAKyNA/1eo/9f83/AKFWvVPTrI2K3ILh/OuHmGBjG45xUtaolp8yZcoooqigooooAKKKKACiiigAooooAKydF/4+tZ/6/wA/+io61qp2NkbOa+cuG+03HnAYxt+RVx/47+tS1qiZJ3RcoooqigooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEYFlIDFSRjI6iue8J3l9q1hJqNzePJA88q2yeWigxKxVWbAyTwemB7VP4s1iHRfDd9cvOkc3kOIFZgCz4wMDvyRVHTtU0zRPD+m6Ta31rNfeVHBDDHIHLSEYJIB+7nJJ9M1lKS57X2MJTSqWb2X/AA36nU0UUVqbhRRRQAUUUUAFFFFABRRRQBznjHUr7SdMF5YTlZIsySRlFZWjX7x5Ge4HB71t3d0ltambIPHy5PB4z+WMk+wNYWoz2eu/2zY291DPJHp7whI3DEM4O7gfRKydW1QjwBHNcSpBeXllFbQRSsFYeYFVmwfqTnsB2yawc+Vt9P8AI5pVOVylfS35HQeFLm/v9BttR1CcvLdJ5qxhFVUUklcYGfu46k1t1BZxQw2NvFbFTAkarGVOQVAwMfhU9axVopM3gmopMKKKKooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==)\n \n\nClaim — If the \\((k + 1)^{\\mathrm{st}}\\) tower grows arbitrarily high, so does tower \\(k\\) . In fact, there exists a constant \\(C\\) such that \\(h_{k} \\geq h_{k + 1} - C\\) at all times. \n\nProof. Suppose \\(B_{n}\\) is a yellow block in tower \\(k + 1\\) . Then with at most finitely many exceptions, \\(B_{n - 1}\\) is a yellow block at height \\(k + 1\\) , and the block \\(B_{r}\\) right below \\(B_{n - 1}\\) is also yellow; then \\(B_{r + 1}\\) is in tower \\(k\\) . Hence, with at most finitely many exceptions, the map \n\n\\[B_{n}\\mapsto B_{n - 1}\\mapsto B_{r}\\mapsto B_{r + 1}\\] \n\nprovides an injective map taking each yellow block in tower \\(k + 1\\) to a yellow block in tower \\(k\\) . (The figure above shows \\(B_{32} \\to B_{31} \\to B_{19} \\to B_{20}\\) as an example.) \\(\\square\\) \n\nClaim — If \\(a_{n} > M\\) then \\(a_{n + 1} \\leq M\\) . \n\nProof. Assume for contradiction there's a first moment where \\(a_{n} > M\\) and \\(a_{n + 1} > M\\) , meaning the block \\(B_{n}\\) was added to an all- yellow tower past \\(M\\) that has height exceeding \\(M\\) . (This is the X'ed out region in the figure above.) In \\(B_{n}\\) 's tower, every (yellow) block (including \\(B_{n}\\) ) was contributed by a block placed in different towers at height \\(a_{n} > M\\) . So before \\(B_{n}\\) , there were already \\(a_{n + 1} > M\\) towers of height more than \\(M\\) . This contradicts minimality of \\(n\\) . \\(\\square\\) \n\nIt follows that the set of indices with \\(a_{n} \\leq M\\) has arithmetic density at least half, so certainly at least some of the numbers must occur infinitely often. Of the numbers in \\(\\{1, 2, \\ldots , M\\}\\) , define \\(L\\) such that towers 1 through \\(L\\) grow unbounded but towers \\(L + 1\\) through \\(M\\) do not. Then we can pick a larger threshold \\(N' > N\\) such that\n\n\n\n- Towers 1 through \\(L\\) have height greater than \\((M, N)\\) ; \n\n- Towers \\(L + 1\\) through \\(M\\) will receive no further blocks; \n\n- \\(a_{N^{\\prime}} \\leq L\\) . \n\nAfter this threshold, the following statement is true: \n\nClaim (Alternating small and big) — The terms \\(a_{N^{\\prime}}\\) , \\(a_{N^{\\prime} + 2}\\) , \\(a_{N^{\\prime} + 4}\\) , ... are all at most \\(L\\) while the terms \\(a_{N^{\\prime} + 1}\\) , \\(a_{N^{\\prime} + 3}\\) , \\(a_{N^{\\prime} + 5}\\) , ... are all greater than \\(M\\) . \n\n\\(\\P\\) Automaton for \\(n \\equiv N^{\\prime} \\pmod {2}\\) . From now on we always assume \\(n > N^{\\prime}\\) . When \\(n \\equiv N^{\\prime} \\pmod {2}\\) , i.e., when \\(a_{n}\\) is small, we define the state \n\n\\[S(n) = (h_{1}, h_{2}, \\ldots , h_{L}; a_{n}).\\] \n\nFor example, in the figure below, we illustrate how \n\n\\[S(34) = (9, 11; a_{34} = 1) \\longrightarrow S(36) = (9, 12; a_{36} = 2)\\] \n\n![](data:image/jpeg;base64,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)\n \n\nThe final element \\(a_{n}\\) simply reminds us which tower was most recently incremented. At this point we can give a complete description of how to move from \\(S(n)\\) to \\(S(n + 2)\\) : \n\n- The intermediate block \\(B_{n + 1}\\) is placed in the tower corresponding to the height \\(a_{n + 1}\\) of \\(B_{n}\\) ; \n\n- That tower will have height \\(a_{n + 2}\\) equal to the number of towers with height at least \\(a_{n + 1}\\) ; that is, it equals the cardinality of the set \n\n\\[\\{i: h_{i} \\geq h_{a_{n}}\\}\\]\n\n\n\n- We increment \\(h_{a_{n + 2}}\\) by 1 and update \\(a_{n}\\) . \n\nFor example, the illustrated \\(S(34) \\to S(36)\\) corresponds to the block \\(B_{34}\\) at height \\(h_{1}\\) in tower 1 giving the block \\(B_{35}\\) at height 2 in tower \\(h_{1}\\) , then block \\(B_{36}\\) at height \\(h_{2} + 1\\) being placed in tower 2. \n\nPigeonhole periodicity argument. Because only the relative heights matter in the automata above, if we instead define \n\n\\[T(n) = (h_{1} - h_{2},h_{2} - h_{3},\\ldots ,h_{L - 1} - h_{L};a_{n}).\\] \n\nthen \\(T(n + 2)\\) can be determined from just \\(T(n)\\) . \n\nSo it would be sufficient to show \\(T(n)\\) only takes on finitely many values to show that \\(T(n)\\) (and hence \\(a_{n}\\) ) is eventually periodic. \n\nSince we have the bound \\(h_{k + 1} \\leq h_{k} + C\\) , we are done upon proving the following lower bound: \n\nClaim — For every \\(1 \\leq \\ell < L\\) and \\(n > N'\\) , we have \\(h_{\\ell} \\leq h_{\\ell + 1} + C \\cdot (L - 1)\\) . \n\nProof. Assume for contradiction that there is some moment \\(n > N'\\) such that \n\n\\[h_{\\ell} > h_{\\ell +1} + C\\cdot (L - 1)\\] \n\nand WLOG assume that \\(h_{\\ell}\\) was just updated at the moment \\(n\\) . Together with \\(h_{k + 1} \\leq h_{k} + C\\) for all \\(k\\) and triangle inequality, we conclude \n\n\\[\\min (h_{1},\\ldots ,h_{\\ell}) > q:= \\max (h_{\\ell +1},\\ldots ,h_{L}).\\] \n\nWe find that the blocks now in fact alternate between being placed among the first \\(\\ell\\) towers and in towers with indices greater than \\(q\\) thereafter. Hence the heights \\(h_{\\ell +1}\\) , ..., \\(h_{L}\\) never grow after this moment. This contradicts the definition of \\(L\\) . \\(\\square\\) \n\nRemark. In fact, it can be shown that the period is actually exactly \\(L\\) , meaning the periodic part will be exactly a permutation of \\((1,2,\\ldots ,L)\\) . For any \\(L\\) , it turns out there is indeed a permutation achieving that periodic part.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2024/3, proposed by William Steinberg (AUS) \n"}} -{"year": "2024", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let triangle \\(A B C\\) with incenter \\(I\\) satisfying \\(A B< A C< B C\\) . Let \\(X\\) be a point on line \\(B C\\) , different from \\(C\\) , such that the line through \\(X\\) and parallel to \\(A C\\) is tangent to the incircle. Similarly, let \\(Y\\) be a point on line \\(B C\\) , different from \\(B\\) , such that the line through \\(Y\\) and parallel to \\(A B\\) is tangent to the incircle. Line \\(A I\\) intersects the circumcircle of triangle \\(A B C\\) again at \\(P\\) . Let \\(K\\) and \\(L\\) be the midpoints of \\(A C\\) and \\(A B\\) , respectively. Prove that \\(\\angle K I L + \\angle Y P X = 180^{\\circ}\\) .", "solution": "be the reflection of \\(A\\) over \\(I\\) , the most important point to add since it gets rid of \\(K\\) and \\(L\\) as follows. \n\nClaim — We have \\(\\angle KIL = \\angle BTC\\) , and lines \\(TX\\) and \\(TY\\) are tangent to the incircle. \n\nProof. The first part is true since \\(\\triangle BTC\\) is the image of \\(\\triangle KIL\\) under a homothety of ratio 2. The second part is true because lines \\(AB\\) , \\(AC\\) , \\(TX\\) , \\(TY\\) determine a rhombus with center \\(I\\) . \\(\\square\\) \n\nWe thus delete \\(K\\) and \\(L\\) from the picture altogether; they aren't needed anymore. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nClaim — We have \\(B X P T\\) and \\(C Y P T\\) are cyclic. \n\nProof. \\(\\angle T Y C = \\angle T Y B = \\angle A B C = \\angle A P C = \\angle T P C\\) and similarly. (Some people call this Reim's theorem.) \\(\\square\\) \n\nTo finish, observe that \n\n\\[\\angle C T B = \\angle C T P + \\angle P T B = \\angle C Y P + \\angle P X B = \\angle X Y P + \\angle X Y P = \\angle X P Y\\] \n\nas desired. (The length conditions \\(A C > A B > B C\\) ensure that \\(B\\) , \\(X\\) , \\(Y\\) , \\(C\\) are collinear in that order, and that \\(T\\) lies on the opposite side of \\(\\overline{B C}\\) as \\(A\\) . Hence the directed equality \\(\\angle C T B = \\angle X P Y\\) translates to the undirected \\(\\angle B T C + \\angle X P Y = 180^{\\circ}\\) .)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2024/4, proposed by Dominik Burek (POL) \n"}} -{"year": "2024", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Turbo the snail is in the top row of a grid with 2024 rows and 2023 columns and wants to get to the bottom row. However, there are 2022 hidden monsters, one in every row except the first and last, with no two monsters in the same column. \n\nTurbo makes a series of attempts to go from the first row to the last row. On each attempt, he chooses to start on any cell in the first row, then repeatedly moves to an orthogonal neighbor. (He is allowed to return to a previously visited cell.) If Turbo reaches a cell with a monster, his attempt ends and he is transported back to the first row to start a new attempt. The monsters do not move between attempts, and Turbo remembers whether or not each cell he has visited contains a monster. If he reaches any cell in the last row, his attempt ends and Turbo wins. \n\nFind the smallest integer \\(n\\) such that Turbo has a strategy which guarantees being able to reach the bottom row in at most \\(n\\) attempts, regardless of how the monsters are placed.", "solution": "Surprisingly the answer is \\(n = 3\\) for any grid size \\(s\\times (s - 1)\\) when \\(s\\geq 4\\) . We prove this in that generality. \n\n\\(\\P\\) Proof that at least three attempts are needed. When Turbo first moves into the second row, Turbo could encounter a monster \\(M_{1}\\) right away. Then on the next attempt, Turbo must enter the third row in different column as \\(M_{1}\\) , and again could encounter a monster \\(M_{2}\\) right after doing so. This means no strategy can guarantee fewer than three attempts. \n\n\\(\\P\\) Strategy with three attempts. On the first attempt, we have Turbo walk through the entire second row until he finds the monster \\(M_{1}\\) in it. Then we get two possible cases. \n\nCase where \\(M_{1}\\) is not on the edge. In the first case, if that monster \\(M_{1}\\) is not on the edge of the row, then Turbo can trace two paths below it as shown below. At least one of these paths works, hence three attempts is sufficient. \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAEWAPUDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2PxVrlxoOnW0tnaxXN1dXkNnEk0pjQNI4UFiFJwPYGqn2nx3/ANArw5/4Mp//AIxUPj//AI9NB/7D1j/6NFdbQBzH2nx3/wBArw5/4Mp//jFH2nx3/wBArw5/4Mp//jFdPRQBzH2nx3/0CvDn/gyn/wDjFH2nx3/0CvDn/gyn/wDjFdPRQBzH2nx3/wBArw5/4Mp//jFH2nx3/wBArw5/4Mp//jFdPRQBzH2nx3/0CvDn/gyn/wDjFH2nx3/0CvDn/gyn/wDjFdPVJ9Y0yO4e3fUbRZ0zvjM6hlwMnIzkYHNAGL9p8d/9Arw5/wCDKf8A+MUfafHf/QK8Of8Agyn/APjFdMCCAQQQehFLQBzH2nx3/wBArw5/4Mp//jFH2nx3/wBArw5/4Mp//jFdPRQBzH2nx3/0CvDn/gyn/wDjFH2nx3/0CvDn/gyn/wDjFdMWVSASAScDJ6mloA5j7T47/wCgV4c/8GU//wAYo+0+O/8AoFeHP/BlP/8AGK6eigDmPtPjv/oFeHP/AAZT/wDxij7T47/6BXhz/wAGU/8A8Yrp6KAOY+0+O/8AoFeHP/BlP/8AGKPtPjv/AKBXhz/wZT//ABiunooA5j7T47/6BXhz/wAGU/8A8Yo+0+O/+gV4c/8ABlP/APGK6eigDmPtPjv/AKBXhz/wZT//ABij7T47/wCgV4c/8GU//wAYrp6KAOY+0+O/+gV4c/8ABlP/APGKPtPjv/oFeHP/AAZT/wDxiunooA5j7T47/wCgV4c/8GU//wAYo+0+O/8AoFeHP/BlP/8AGK6eigDyjxn8VNd8A3FpDrPh/Tp2u0Z4zZ6g5ACkA53RD1FFch+0l/yFdA/64Tf+hLRQB6z4/wD+PTQf+w9Y/wDo0V1tcl4//wCPTQf+w9Y/+jRXW0AFFFFABRRRQAUUUUAB5Bwce9eQrrY0XwlJ4Q8c6Bf29qY2tZNYih860l3E4mZhyrEndyM554r1uVS0TqpwxUgfWuXbT/EFz4O/sK+gsprqay+yzXfmkx8ptZypGSeScdDjqueACG/1TV4PHWj6XZQWktm+nzzKWumTzCpiGThCBjdx1zk9Mc7V9q91BqUlla6c8zx2v2lpZGaOJssQEV9pBfjoccEfhnXnh27t9W0W+0tonGn2M1iUnkKna4j2vkA5IMYyPf2wWy+H79vE01/OLbUbU2sUNqt05/0WRd299m0hi2VO7g/LjpzQAXnjWKPw/ouuWVk91Y6pLBGAZNkieaQF+XBDHJwRkVT8Sa9r8FtpSppUVq1xrMVo/mXf31D5UqVU/K+3nOCBn5TmqcPhDxDa+EtE0WNtOlOl3dtKC9w6BkgkDA8Rk7mxyOi+prpPEekXesWOmvD5K3dlfQXvls52OUPzLuxnoTg4644FAFXxBcxwXvhuTUtHt7iSTUFijkW4JNrMythl+UbhgN6duKmh8RXtx4l1TQ49Mj8+yiimWRrkhJI5N4GTsyrfJ0wep545r65o+t6imimBbJ3s9SF9N59y68DfhFxGc4DgZOPu9Kfa6XrNr4y1nWBBYPb3ltBDCv2pw4MRkILDy8DPmdicY70ALH4ztZ/DujapBbSM+rzJb20DkKRIwYkM3OAuxskZ6cA5qzpGv3GqapfWTWCRGwlMFywn3bX2K67RtGVKuOeCMHIrk00bVNK8KeHvDdxBYS6ml2XgAuJBC4QO5JkCq6MA2RtBOV9M43vDtxd6drEmi6hpVpa3FzFJfCe0vHuBLhkRjIXVWDfMmM5BAIB+XFAGj4p11/DWhS6sLQXMUDL5yeZsIUsFyPlOSMjjioZ/Ek9liO90qSC4uLtLWxj85W+0syb85H3QoDbsjjacbuMnjTSdQ13wvdaZpotvPnKDdcysiqAwbPyqxPTGPejW9EutXTSb5fIh1LTLoXMaeYWib5WRkLbQcFWPO3g44NABdeI7i0u7nT204PqaWpvIII58rcRqQGCsVHzAkcEfxLz1xSsPGpvrjw2gsYli16BpoJBdZ2bV3lSNvLbT27gjtzdg0W6uvFsev34iiNtaNa20ETl8b2DO7MQOflUAD3OecDCHgS+ttLvYbO8gS5g1AXekMykrboJDJsb6mSVDj+Er6UAdXo2o3WpW801zYi0CTPEgEwk8wKxUtwBgEg49q0qhtLaOzs4bWLPlwosa5OTgDHNTUAFFFFABRRRQAUUUUAfPP7SX/IV0D/rhN/6EtFH7SX/IV0D/AK4Tf+hLRQB6z4//AOPTQf8AsPWP/o0V1tcf8RY7mTSdJ+xmL7Sus2bRednZu80Y3Y5xn0qyT462jC+Hd3f5p8fyoA6eiuaz438wfL4e2d/mmz/KkB8c7Wyvh3P8OGn/AMKAOmormCfHW0YXw7u7/NPj+VRXF141t5oA0fh8pLIIxhpsgkE+ntQB1lFcyD452tlfDuf4cNP+vFBPjnYML4d3d/mnx/KgDpqK5rPjfzB8vh7y+/zTZ/lSA+OdrZXw7n+HDT/rxQB01FclcXXjeBrWMx+Hi88pj+9NgHazenopqxnxv5g+Xw95ff5ps/yoA6WiuZB8c7Wyvh3P8OGn/XikJ8dbBhfDu7v80+P5UAdPRXNZ8b+YPl8PbO/zTZ/lVeW68cQzQQtH4eLTsVQhpsDCluePagDp7m1t7yLyrq3injyDslQMMjocGm2thZ2Rc2trBAXxvMcYUtjpnHWsAnx1sGF8O7u/zT4/lTs+N/MHy+Htnf5ps/yoA6WiuZB8c7Wyvh3P8OGn/XikJ8dbBhfDu7v80+P5UAdPRXJyXXjWO/t7cx+HyJgxBDTcbQM9vepgfHO1sr4dz/Dhp/14oA6aiuZJ8c7BhfDu7v8ANPj+VLnxv5g+Xw9s7/NNn+VAHS0VzIPjna2V8O5/hw0/68VBJdeN0uoLby/D3mSo753TYAUqPT/aoA62iuaz438wfL4e2d/mmz/KkB8c7Wyvh3P8OGn/AF4oA6aiuZJ8c7BhfDu7v80+P5UufG/mD5fD2zv802f5UAePftJf8hXQP+uE3/oS0VR+O0Ouy6horaydOVhFKI/sZcjGVznd+HSigD3Dxnv+x6Rs/wCgxZ5+nmrXSVzXjQA2ej5bGNZsse/70V0tABRRRQAVVvPO32vkjI88eZwD8uDn+lWqpagqs9lukCYuVIyCdx2txQBdoorkPiB4wk8J6ZD9ljSS9umZY9/RABy2O/Uce9TOahFylsRUqRpxc5bI6+ivFvC/xU1htbt7bWHiuLW4kWMvsCGLJxu4HI55Br2moo1o1VeJnQxEK6vAq3fn/aLLyhlPPPm8DhfLf+u2rLMFUsxAUDJJPAFU75Va604tIEK3JKgg/OfKkGPyJP4ValkSGJ5ZDtRFLMfQDrWp0JXY23ure7QvbTxTKDgtG4YA/hSXF5a2m37Tcww7vu+Y4XP0zXMeG1/s/XtbjuP3bTQ299ID2ZlYOfzWnRxnUPiBHLKv/HhYmTB/5ZtK2FU++1GP1Y1kqjaXe53ywcY1JK/upXv6pNL72lc6uqtz532uy8sZj8xvM4HA2Nj9cVJBd29y0iwTxStGcOEcNtPocdKgvFVr/T2aQKVlYqpB+b923/661OBpp2ZdoorhfiL43n8Lw29pp6Rm9uVZt78iJRxnHck5x9KipUjTjzSMqtWNKDnLY7qivIfBXxN1S916303WWiniunEaShAjRseg44IJwPxr16ppVo1Y3iTQrwrR5oFWbzv7Qtdg/c4fzDgccDFWqpXCqdVsmMgVlWTCYPzcD+VXa1NgooooAKqyed/alttH7jypN5wPvZTb/wCzVaqlMqnWbRjIAwgmATBywJjyfwwPzoAu0UUUAFFFFAHhP7Qnm/b9B2Djypu3ulFN/aGVTqGg5cD91Nxj3SigD1PxoVFno+4E/wDE5ssc9/NFdLXN+M932PSNoz/xOLLPGePNWukoAKKKKACqWoGMPZeYhbNyoXBxg7W596u1VvfN32vlJuHnjf8ALnC4PPt25oAtVyXj7we3izS4Vt5UjvLZmaIuPlYEcqT2zgc+1dbRUzgpxcZbEVKcakXCWzPCvAHgS41fVBqF1JGlnYXWx0+80kiEHb9ORk17rXE/DL/kEav/ANhaf+SV21YYWnGFNNdTnwVKMKScepSvjGLrTg6FmNyQhBxtPlScn14yPxpmsRX1xYtb2UVu5l+WTz5WQbMjIGFbJIyPaprvzftFj5abl88+Ydudq+W/PtzgZ98d6tV0NXVjuhPkkpWvYxpdHml8RLqpdABaCFoMnDurllycdASe3+FM0XTr+11TVr2/S23XsquphlZtqKoVVIKj3Ofetyip5Fe5q8TNwcH1Vvknf9DA0e6tpPEmuJFPEzGSEhVcE4EYBrSvDGL/AE8MhLGVthBxtPlt+fFXaq3Pm/bLLYm5PMbzDtztGxsc9ucU4qysRWqKpLmStol9ySLVcP8AETwTL4otoLuykRL21VgFfgSqecZ7Ec4+tdxTJf8AUv8A7ppVIRnFxkc1WnGpBwlseMfDLwTLfXdr4iuZEW0gkLQxjlndcjJ9ADz+Fe1Vxfwr/wCRCtP+ukv/AKGa7SssLCMKSt1McHTjCiuXrqUrgxjVbEMhLlZNrA8DgZ471dqrP5v9o2mxMxYfe23OOBjntVqug6gooooAKpTGMa1aKUJkME21s8AZjyMfl+VXaqy+b/alttTMPlS7229DlMDPbv8AXHtQBaooooAKKKKAPB/2hig1DQdyknypu+O6UUv7Qnmfb9B2rkeVN2z3SigD1DxwHbT9KEboj/2xZ7S4JGfNGOBW0yap5SBZ7MSZO8mFsH0wN1Y/jTb9j0fcD/yGbLGPXzRXS0AVdt/9pB8628jjK+U27pzzux19qYqan5cm+ezL4GwiFgBzzn5ueKu0UAUmTVPKQLPZiTJ3kwtg+mBuqvex3jXdmXubZIROpC+WwZjtORnOPXtWrVLUDGHsvMDE/aV27TjB2t19qABU1PZJvnsy+BsIhYAc85+bnihk1TykCz2YkydxMLYI7YG6rtFAHA/DRbw2GqFJIBB/as29WjJYnC9DnA7dq7FU1PZJvnsy+BsIhYAc85+bniuW+GX/ACCNX/7C0/8AJK7asaH8NGGG/hRMe9i1Bn07N1aJMtwx5ifDny3wAN3pk9e34G9tv/tIPnW3kcZXym3dOed2OvtTL4xi607zAxY3J2YOAG8qTr7Yz+lXa2Nykqansk3z2ZfA2EQsAOec/NzxQyap5SBZ7PzMncTC2CO2Bu+tXaKAKu2/+0KfOtvI4yvlNu6c87sdfaqFzFqRurMvd2QkEjeWPJcBjsbPG7nj6Vs1SvDH9v0/eGL+a2wg8A+W2c/hmgAZNU8pAs9n5mTuJhbBHbA3fWiVb/ex8628jbyvlNu6c87sdfartMl/1L/7poA4b4YLenwJB5Mtuql5PL3xkkHec5wwz+ldeyap5SBZ7PzMncTC2CO2Bu+tcx8K/wDkQrT/AK6S/wDoZrtKyofwo+hhhv4MPRGVPHeHWbN2ubYRgPiPy23NwM98f571YVNT2Sb57Qtj5CIWABz3+bnii4Mf9q2IYMZNsmwg8DgZzV2tTcpMmp+UgWez8zJ3Ewtgjtgbqftv/tCnzrbyONy+U27pzzux19qtUUAUlTU9km+e0LY+QiFgAc9/m54qpNFqB1CzIurMXAimBUxPhlJToN3bHr3rYqlMY/7atAQ3meRNtIPAGY85H5frQA/bf/aFPnW3kcbl8pt3Tnndjr7UxU1PZJvntC2PkIhYAHPf5ueKu0UAUmTU/KQLPZ+Zk7iYWwR2wN1P23/2hT51t5HG5fKbd05wd2OvtVqigDwD4+Jd/btD+1T25PlzbfLRl7r1yTRU/wC0Ns/tDQdwbPlTdD7pRQB6n4zz9j0jC5/4nFlnjOB5q810tc140BNnpGGA/wCJzZdT1/erxXS0AFFFFABVS9Mge02Rh/343ZXO0YPPt9at1TvlLPZ4lVMXAJycbuG4HrQBcooooA8x8D+KdE0Sy1a11LUI7edtTmcIwYkqQozwPUGuo/4WD4U/6DMH/fLf4VryaJpMsjSSaXZO7HLM1uhJPqTim/2Bo3/QJsP/AAGT/CueEKsFypo5YU60IqKa08n/AJmDdfEDwyZ7Ix6rbuomJkJRjsXY/I44OcD8as/8LB8Kf9BmD/vlv8KtXmgaQbmw26dp8Y887lMCjePLf5enPODj2q3/AGBo3/QJsP8AwGT/AAqrVu6/H/Mu1fuvuf8AmTabqllq9mt3p9ylxAxIDp6jqKt1xPwuAXwrOAAAL6YAD8K7arpyc4KTLozc6ak+pzcnj7wtFI0bazBuUkHAY8/UCqlz8QPDJu7MpqtuyCRi7FGJUbGwRxxzgfjWZ8MtK0678I+bc2FrNJ9plG+WFWOM+pFdNdaBpH22x26dp6DzG3IYFG/5G4xjn1/CsoSqzipaa+pjTlWnBTVtfX/Mq/8ACwfCn/QZg/75b/CmyfEDwqY2A1mHJB/hb/Ctf+wNG/6BNh/4DJ/hR/YGjf8AQJsP/AZP8Kq1Xuvx/wAy7V+6+5/5nOfCv/kQrT/rpL/6Ga7So4IIbaFYYIkiiX7qRqFUfQCpKunHkgo9i6UOSCj2RUnMn9pWgWMMmJNz7c7eBjntmrdU7hSdTs2EqqAJMoTy3A6DvirlWaBRRRQAVUlMn9rWwEYMfky7n252nKYGe2eeO+PardU5VJ1e1bzVAEMoMeeW5TnHt/WgC5RRRQAUUUUAeEftCl/t+g7UDDypudue6UUn7QoJv9Bw4X91NwT7pRQB6n402/ZNH3Z/5DNljHr5orpa5jxx5h0/ShFtDnV7MBmXcFPmjnGR/OtpotTMSBby1EgJ3MbViD6YHmcfmaALtFVfLv8A7SG+1W/kcZT7Odx45+bf6+1MWLUxHIGvLUuQNhFqwC885Hmc8fSgC7VLUPK32Xmb8/aV2bcfe2t19utDRamYkC3lqJATuY2rEH0wPM4/M1BeLfLd2jb7eSEzqCn2c7l+U5bdu4/LvQBqUVSWLUwkga8tS5A2EWrALzzkeZzx9KGi1MxIFvLUSAncxtWIPpgeZx+ZoAu0VV8u/wDtIb7Vb+RxlPs53Hjn5t/r7UxYtTCSBry1LkDYRasAvPOR5nPH0oAL7yvtWneZv3faTs24xu8qTr7Yz+OKu1kXiakG09RNavIZ2DSG1YhPkYhgN/HQjr/F+d3y7/7SG+1W/kcZT7Odx45+bf6+1AHKfC//AJFe4/6/pv5iu1rgvhml4fC935VxCmbyULuhLYORkn5hke3H412DRamYkC3lqJATuY2rEEdsDzOO/c1lQ/hRMMN/Bj6HLfCr/kTB/wBfUv8AMV1N55f2/T9+/f5rbMYxny2zn8M1xvwtS8PhZWS4hWD7TJujMJLHn+9u4/KunuI9UW5tFM9pIzSNtk+yN+7+Ruf9Z36dutLD/wAKPoGF/gx9DYoqk0WpmJAt5aiQE7mNqxBHbA8zjv3NP8u/+0K32q38njKfZzuPHPzb/X2rY3LVFUli1MJIGvLUuQNhFqwC89x5nPH0oaLUzEgW8tRICdzG1YgjtgeZx37mgAuPK/tWx3b/ADNsmzGMdBnNXay5lvhrFnl7d4SGyfs53LgDPzbuMn2/Op1i1MJIGvLUsR8hFqwCnPceZzx9KALtFUmi1MxIFvLUSAncxtWII7YHmcfmaf5d/wDaFb7Vb+TxlPs53Hjn5t/r7UAWqpTeX/bVpu3+b5E23GMYzHnP6frQsWphJA15aliPkItWAU57jzOePpVWZNS+3WiCa1MvlylpzasQBlMKBv4z9e1AGvRVXy7/AO0K32q38njKfZzuPHPzb/X2pixamEkDXlqWI+Qi1YBTnuPM54+lAF2iqTRamYkC3lqJATuY2rEEdsDzOPzNP8u/+0K32q38njcn2c7jxz82/jn2oA8R/aG2f2hoO7dnypun1SioPj4t4l9of2mSCbMc20xwFMcr1yxzRQB614zz9j0jDY/4nFlnnGf3q8V0tc1402/Y9H3Z/wCQzZYx6+aK6WgAooooAKqXwcvabJQmLgbstjcMHj3+lW6pah5e+y8wuD9pXZtH8W1uvt1oAu0UUUAFFFFAFS8Dm5sNkoQC4O4Fsbx5b8e/ODj2z2q3VK+8r7Vp3mFw32k7No4LeVJ19sZ/SrtAHFfC/wD5Fe4/6/pv5iu1rivhf/yK9x/1/TfzFdrWVD+FEww38GPocT8Kv+RMH/X1L/MV1d0HN7YlZQqiRtylsb/kbjHf1/CuU+FX/ImD/r6l/mK6m88v7fp+8vv81tmBwT5bZz+GaWH/AIUfQML/AAY+hdooorY3CiiigCpOHOpWZEoVAJNybsFuBjjvirdUrjyv7VstxfzNsmwAcdBnNXaACiiigAqpKH/ta1IlAQQy7o92CxymDjvjn6Z96t1Sm8v+2bTcX83yJtoA4xmPOf0/WgC7RRRQAUUUUAeEftChvt+g4cKPKm43Y7pRSftDbP7Q0HcWz5U3T6pRQB6n40OLPSPlB/4nNl17fvV5rpa5vxnu+x6RtOP+JxZZ5xkeatdJQAUUUUAFU79tr2f7pXzcAcg/L8rcirlVL3zd9p5cmweeN/zY3Lg8e/bigC3RRRQAUUUUAU71ttzp48pX3XBGSD8n7t+R/L8auVUu/N+0WPlybV88+YN2Ny+W/Hvzg49s9qt0AcV8L/8AkV7j/r+m/mK7WuK+F/8AyK9x/wBf038xXa1lQ/hRMMN/Bj6HE/Cr/kTB/wBfUv8AMV1V22L6wHlq26VhuIOU+RuR/KuV+FX/ACJg/wCvqX+Yrq7rzftllsfanmNvXdjcNjY4784NLD/wo+gYX+DH0LdFFFbG4UUUUAU7hsapZL5StlZPnIOV4HT61cqpP5v9o2m2TEeH3ruxu4GOO9W6ACiiigAqnK2NYtF8tTmGU78HK8x8fj/SrlVJfN/tW22yYi8mXcm7qcpg474557Z96ALdFFFABRRRQB4P+0K2L/QfkDfupuT9Uopf2hN/2/Qdr4HlTfxY7pRQB6f44Utp+khZPLc6xZ7W27sHzRjittre/MSKL9A4J3N5A+b04zxWP40IFno+VznWbL8P3q10tAFXybz7SH+2L5XGY/JHPHrmmLb34jcNfozEDa3kAbefTPNXaKAKTW9+YkUX6BwTubyB83pxniq19BN9rsnlvMRi4XbGIRy2098/WtaqWoMqvZbow+blQMk/Kdrc0AC29+EkDX6MxA2t5AG3n680Nb35iRRfoHBO5vIHzenGeKu0UAVfJvPtAf7YvlDGY/JHPHrmmLb34SQNfozEDa3kAbefrzV2igDHvre5Mmmq9+BMLhtjC3BDN5b9Rnjjd+lXvJvPtAf7YvlDGY/JHPHrmmXzKt1pwaMOWuSAST8h8qQ5H5Y/GrtAHBfDOK6bwvdeXdKmbyULmLO05GT15zXYNb35iRRfoHBO5vIHzenGeK5f4X/8ivcf9f038xXa1lQ/hRMMN/Bj6HAfC2K5PhZXW5VYRcyZj8rOefXNdLc2139rshLqI80yN5RFuMA7Gznn0zWH8Kv+RMH/AF9S/wAxXU3jKt/p6mMMWlYBiT8v7tuf6UsP/Cj6Bhf4MfQGt78xIov0Dgnc3kD5vTjPFP8AJvPtCv8AbF8oYzH5I5455zVqitjcpLb34SQNfozEDa3kAbefrzQ1vfmJFF+gcE7m8gfN6cZ4q7RQBlTwzf21ZO950D7IxCMHgbuc1YW3vwkga/RmI+U+QBt5+vNFwyjVLJTGGZlkw+TleB/OrtAFJre/MSKL9A4J3N5A59OM8U/ybz7Qr/bF8oYzH5I5455zVqigCktvfhJA1+jMR8p8gDbz9eaqT29ydRs1OoAXIimw32cEMuY89+O1bFUpmUazaIYwWMExD5OVwY+Pxz+lAD/JvPtCv9sXyhjMfkjnjnnNMW3vwkga/RmI+U+QBt5+vNXaKAKTW9+YkUX6BwTubyBz6cZ4p/k3n2hX+2L5QxmPyRzxzzmrVFAHz/8AH2GaO/0P7TdeaTHNt2xBcDK+9FWP2hmAv9BygP7qbk/VKKAPVPGe/wCx6RsOP+JxZ557eatdJXNeNAps9Hycf8Tmyxx1PmiuloAKKKKACqt552+18lsDzx5nIGVwf/rVaqlqCoz2W9ymLlSvy53Ha3HtQBdooooAKKKKAKt3532iy8psJ5580ZAyvlv+fO2rVUr5Y2utOLuVIuSUG3O4+VJx7cZP4VdoA4r4X/8AIr3H/X9N/MV2tcV8L/8AkV7j/r+m/mK7WsqH8KJhhv4MfQ4n4Vf8iYP+vqX+YrrLnzvtdl5bYj8xvMGQMjY2PrziuT+FX/ImD/r6l/mK6m8VDf6eWcqwlbau3O4+W3ftxSw/8KPoGF/gx9C7RRRWxuFFFFAFWfzv7QtdjYiw/mDI54GOO/erVUrhYzqtkzOQ4WTau3O7gZ57VdoAKKKKACqsnnf2pbbW/c+VJvGRy2U28f8AfVWqpTKh1m0YuRIIJgqbeozHk57Y4/OgC7RRRQAUUUUAeE/tCeb9v0HYcDypu/ulFN/aGCHUNB3Pg+VNxjPdKKAPU/GhAs9Hyuc6zZY56fvRXS1zPjdZX0/S1icox1ezG4AEj96Oea2WtLsxIo1KYMCcv5aZb9O1AF2iqv2a5+0iT7dJ5YxmLYmDx64z70xbS7EbqdSmZmA2sY0+Xn6UAXapagyK9lvj35uVC842na3NDWl2YkUalMGBOX8tMt+naorq3vhdWskV5I0fmqJI9iY27Tk5xnr/ADoA0qKpLaXYSRTqUrMwG1jGny8/T+dDWl2YkUalMGBOX8tMt+mOKALtFVfs1z9oEn26TyxjMWxMHj1xn3pi2l2EkU6lKzMBtYxp8vP0/nQAXzIt1pwaPcWuSFOcbT5Uhz78Aj8au1lXVrqGbJIr+X/XN5snlx527Gxxj1AH41b+zXP2gSfbpPLGMxbEwePXGfegDlPhf/yK9x/1/TfzFdrXBfDOCd/C91svJI83koGEU7SCMnkd67BrS7MSKNSmDAnL+WmW/TtWVD+FEww38GPoct8Kv+RMH/X1L/MV1N4yC/08NHuZpX2tnG39235+lcb8LYJ28LLIt5IsYuZMxBFwefXGa6ie01Fbi2VNSmZWc728uP5Btb29cUsP/Cj6Bhf4MfQ16KpNaXZiRRqUwYE5fy0y36dqf9muftCyfbpfLGMxbEwePXGa2Ny1RVJbS7CSA6lMzMBtYxp8vP0oa0uzEijUpgwJy/lplv07UAFwyDVbFTHlysm1s/d4GeO9XazZYL0arast3IbfDeYmxMcAY5xnk5qVbS7CSA6lKxYfKxjT5efp/OgC7RVJrS7MSKNSmDAnL+WmW/THFP8As1z9oWT7dJ5YxmLYmDx64zQBaqlMyDWrRTHlzBMVfP3RmPIx78flQtpdhJAdSlYsPlYxp8vP0/nVeW11A3drGmoShBHKZJfLjyTlNoxj60AatFVfs1z9oWT7dJ5YxmLYmDx64zTFtLsJIDqUrFh8rGNPl5+n86ALtFUmtLsxIo1KYMCcv5aZb9McU/7Nc/aFk+3y+WMZj2Jg8euM80AeI/tDMo1DQcpk+VNzn3Siofj3Ddw32h77p5wY5sFkUY5T0AooA9Z8aAG00fLYxrNljjr+9FdLXNeNCBZ6PkZ/4nNljnofNFdLQAUUUUAFUtQVGey3ybMXKleCdx2txV2qWoNGr2W9C2blQuGxtO1ufegC7RRRQAUUUUAUr5Ua604tJsK3JKjGdx8qQY9uCT+FXaz9Tnt7eWxludqos7HzGfaseIpCWPtgH8/ar0ciTRrJE6ujDKspyCPY0AcZ8L/+RXuP+v6b+Yrta4f4aTRW/hG7mmkSOJL2Zmd2AVRxySeldjBe2t07pb3MMzIAWWOQMVB6E46ZrGg17OJz4Zr2UV5HIfCr/kTB/wBfUv8AMV1N4qG/08tJtZZW2rjO79235etct8Kv+RMH/X1L/MV0lxd2kmq2kCvHLPHKwZUkGYiY2+8PcA9aKH8KPoPDfwY+hpUUUVsbhRRRQBSuFQ6rZMZNrqsm1Mfe4GefartUrhoxqtkrIS5WTa27G3gZ471doAKKKKACqUyodZtGMmHEEwCY+8Mx5Ofbj86u1SmaMazaKUJkMExV93QZjyMd88flQBdooooAKKKKAPB/2hlU6hoOXwfKm4x7pRR+0MVGoaDuXJ8qbv7pRQB6p4z3/Y9I2jP/ABOLPPHbzVrpK5rxoAbPSMsBjWbL8f3q10tABRRRQAVVvfO32vlLkeeN/wAoOFwefbtVqqWoKrPZZkCYuFIzn5jtbigC7RRRQAUUUUAUtQiadrSIwrLA8pWdXQMChjfrntnA/H3rmb3R7jwfv1Xw8JHsFO+70vcSpXu8WfusOuOhrpr5Va604mQIVuCQDn5z5UgwPzz+FXaicFL1M501P17nj3gp7/xFotxoFjm3sHnkkvrwqCSj9I0B43EA5PYV00vh5vAm/VvDySS2QUfb7FzuZ0X+NGPIYZJx0PPSus0nRrHQ7R7XT4BDE8jSlR/eY/8A6h9AKvkAggjINYww9ormevfsYU8LywXM/eXXt6f1qeQ+ApdU1rQ/7E06WSys0meS9vl+/hjxHH6MRyT2/n6FYaFZ6C1nBpVoscTSE3EmNzv8jYLMeep/WrukaNY6HZG00+ERQmRpCo9WOT/h9AKddqrX2nsZApWViFOfm/dtwP51VGlyRXNqy6FD2cVzatf1oXaKKK3OgKKKKAKs/nf2habFzFh/MO0ccDHParVUrhVOqWTGQKVWTCHOW4H8qu0AFFFFABVWXzv7Uttq5h8qTe20cNlNvP8A31VqqUyqdZtHMgDCCUBOctkx8/hj9aALtFFFABRRRQB4T+0J5n2/QdgyPKm7Z7pRTf2hlBv9By4H7qbg/VKKAPSPiKskmlaPFFcSW7y61ZIJYgpZMyjkbgRke4Iq9/wjWo4x/wAJlr3/AHxZ/wDxiqnj/wD49NB/7D1j/wCjRXW0Ac9/wjeo5z/wmOu/98Wf/wAYpP8AhGtR5/4rLXv++LP/AOMV0VFAHO/8I1qOMf8ACZa9/wB8Wf8A8YpkvhS9maNpPF+usY3Dr8tpwcYz/qPc10tFAHO/8I1qPP8AxWWvf98Wf/xij/hGtRxj/hMte/74s/8A4xXRUUAc9/wjeo5z/wAJjr3/AHxZ/wDxik/4RrUef+Ky17/viz/+MV0VFAHNSeFL2VomfxfrxaJ96HbacHBGf9R6E/nUn/CN6jnP/CY69/3xZ/8Axiuhqjda1pVjcC3u9Ts7ecjcI5Z1RseuCc0AZf8AwjWo8/8AFZa9/wB8Wf8A8Yo/4RrUcY/4TLXv++LP/wCMVvxzRSlxHIjmNtrhWB2nAOD6HBB/EU+gDnv+Eb1HOf8AhMde/wC+LP8A+MVE/hS9kkjkfxhrxeIlkO204JBH/PD0Jrpqrpf2ct7JZR3cD3cS7pIFkBkQcclc5A5H50AYv/CNajjH/CZa9/3xZ/8Axil/4RvUc5/4THXv++LP/wCMV0NFAHO/8I1qPP8AxWWvf98Wf/xij/hGtRxj/hMte/74s/8A4xXRUUAc03hS9eeOZvF+umSPIU7LTjPX/lhT/wDhGtR5/wCKy17/AL4s/wD5HroqKAOd/wCEa1HGP+Ey17/viz/+MUv/AAjeo5z/AMJjr3/fFn/8YroaKAOd/wCEa1Hn/iste/74s/8A5HpjeFL1p45j4v17zI1ZVbbacBsZ/wCWH+yK6WigDnv+Eb1HOf8AhMde/wC+LP8A+MUn/CNajz/xWWvf98Wf/wAj10VFAHO/8I1qOMf8Jlr3/fFn/wDGKX/hG9Rzn/hMde/74s//AIxXQ0UAfNnx7s7vS9S0RJtYvtQ3wykG7WEFOV6eXGn65oq7+0l/yFdA/wCuE3/oS0UAes+P/wDj00H/ALD1j/6NFdbXJeP/APj00H/sPWP/AKNFdbQAUUUUAFFFFABRRRQAUUUUAY3i3V5dB8Iavq0CB5rS0kljBGRuCnGfbOKpeCrO307wVp9zNIrTXdtHdXl1KRumkdQzMzHrycDPQYFdBeWkF/ZT2d1EstvPG0UsbdGVhgg/ga57RNO1jw9pkWieRBqVjbJ5VrcNNsfyx91JVKkfKMDcuc4+6KAILB9F8F6Rrl7FdRSWLXZuxFbsHZDIEQRgZ6lwQo4HIHGK1X1ySy1DT7TVLRLY6gxigeObzF80KW2N8owSA2MZB2n2zzVn8O3TwnrukXFzbxz6lqTajHLBH8sLlkkVcHGQrrj3X0zxtXmjahrmp6NPqaW1vb6Zcfa9kErSGWYIyryVXCjex9ScdO4Akvi026w3F1p0sFnNqH9nq8hKyhy/lq+wqPkLY5BPDA+uIXUD4tQnAydDfJ/7bpWQ3grV5NDjtphYT6rFqEd6+oSyMWutk4kVSdpKfKAuBkLgAZHTag0jW18aW2r3AsXt0037HKwnYSM5ZXLBfLxjIIxn39qANnWr+bS9FvL+C3W4e2iaUxNJ5e4KMnnB5wD2rGj8Y+Xoj61f6ZNbab9khuYZhIrmUyHAjC8ENkrjPHzjkHIGvr1rdX2gX9nZLC1xcQPCnnSFFG4EZJCseM+lYs/hi61X4fReH794La6ihhRJYHMqCSIqyNyqkjcgyPTvQBeudeuLC6sra+sYoZb8tHalbjchmClhG52jaSAcEAjg+2ciHx7LJpmm3r6SkK3upHTGjkuwGglDsmH+X+8pHGeq+vGheaNqGuano0+ppbW9vplx9r2QStIZZgjKvJVcKN7H1Jx075154FkurnxIBdIlrqS+daIAc290yruk/wC+oomGO5b1oA6Ow1G6vNR1C3lsRDBaSiJJ/ODeaSobhccYDDOe+RWlVLSbWaz0uCK5ZHuiC87J91pWJZyvtuJx7Yq7QAUUUUAFFFFABRRRQAUUUUAfPP7SX/IV0D/rhN/6EtFH7SX/ACFdA/64Tf8AoS0UAes+P/8Aj00H/sPWP/o0V1tFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfPP7SX/ACFdA/64Tf8AoS0UUUAf/9k=)\n \n\nCase where \\(M_{1}\\) is on the edge. WLOG, \\(M_{1}\\) is in the leftmost cell. Then Turbo follows the green staircase pattern shown in the left figure below. If the staircase is free\n\n\n\nof monsters, then Turbo wins on the second attempt. Otherwise, if a monster \\(M_{2}\\) is encountered on the staircase, Turbo has found a safe path to the left of \\(M_{2}\\) ; then Turbo can use this to reach the column \\(M_{1}\\) is in, and escape from there. This is shown in purple in the center and right figure (there are two slightly different cases depending on whether \\(M_{2}\\) was encountered going east or south). \n\n![](data:image/jpeg;base64,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)\n \n\nThus the problem is solved in three attempts, as promised. \n\n\\(\\P\\) Extended remark: all working strategies look similar to this. As far as we know, all working strategies are variations of the above. In fact, we will try to give a description of the space of possible strategies, although this needs a bit of notation. \n\nDefinition. For simplicity, we only use \\(s\\) even in the figures below. We define the happy triangle as the following cells: \n\nAll \\(s - 1\\) cells in the first row (which has no monsters). The center \\(s - 3\\) cells in the second row. The center \\(s - 5\\) cells in the third row. The center cell in the \\(\\frac{s}{2}\\) th row. \n\nFor \\(s = 12\\) , the happy triangle is the region shaded in the thick border below. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nDefinition. Given a cell, define a shoulder to be the cell directly northwest or northeast of it. Hence there are two shoulders of cells outside the first and last column, and one shoulder otherwise. \n\nThen solutions roughly must distinguish between these two cases: \n\n- Inside happy triangle: If the first monster \\(M_{1}\\) is found in the happy triangle, and there is a safe path found by Turbo to the two shoulders (marked \\(\\bigstar\\) in the figure), then one can finish in two more moves by considering the two paths from \\(\\bigstar\\) that cut under the monster \\(M_{1}\\) ; one of them must work. This slightly generalizes the easier case in the solution above (which focuses only on the case where \\(M_{1}\\) is in the first row). \n\n![](data:image/jpeg;base64,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)\n \n\n- Outside happy triangle: Now suppose the first monster \\(M_{1}\\) is outside the happy triangle. Of the two shoulders, take the one closer to the center (if in the center column, either one works; if only one shoulder, use it). If there is a safe path to that shoulder, then one can take a staircase pattern towards the center, as shown in the figure. In that case, the choice of shoulder and position guarantees the staircase reaches the bottom row, so that if no monster is along this path, the algorithm ends. Otherwise, if one encounters a second monster along the staircase, then one can use the third trial to cut under the monster \\(M_{1}\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGRAwIDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDu/ij471XwadIg0i1tpri/eQZnUsBt2gAAEckv+lc7/wAJh8X/APoVbX/wHb/45R8cP+Q94N/6+Jf/AEKGvYq92riaOBwOHn7GM3Pmu5X6St3MknKT1PHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqK4f7dp/8AQLT+5/5leyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqKP7dp/wDQLT+5/wCYeyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqKP7dp/wDQLT+5/wCYeyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqKP7dp/wDQLT+5/wCYeyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqKP7dp/wDQLT+5/wCYeyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqKP7dp/wDQLT+5/wCYeyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvYqKP7dp/wDQLT+5/wCYeyf8zPHf+Ew+L/8A0Ktr/wCA7f8Axyj/AITD4v8A/Qq2v/gO3/xyvWru/s7BVa8u4LdXOFM0gQE+gzT4Lq3ulLW88UyjGTG4YcgEdPUEH8af9uU/+gWn9z/zD2T/AJmeRf8ACYfF/wD6FW1/8B2/+OUf8Jh8X/8AoVbX/wAB2/8AjlexUUv7dp/9AtP7n/mHsn/Mzx3/AITD4v8A/Qq2v/gO3/xyj/hMPi//ANCra/8AgO3/AMcr2Kij+3af/QLT+5/5h7J/zM8d/wCEw+L/AP0Ktr/4Dt/8co/4TD4v/wDQq2v/AIDt/wDHK9hVgyhlIKkZBB4NLR/btP8A6Baf3P8AzD2T/mZ47/wmHxf/AOhVtf8AwHb/AOOUf8Jh8X/+hVtf/Adv/jlexUUf27T/AOgWn9z/AMw9k/5meO/8Jh8X/wDoVbX/AMB2/wDjlH/CYfF//oVbX/wHb/45XsVFH9u0/wDoFp/c/wDMPZP+Znjv/CYfF/8A6FW1/wDAdv8A45R/wmHxf/6FW1/8B2/+OV7FRR/btP8A6Baf3P8AzD2T/mZ47/wmHxf/AOhVtf8AwHb/AOOUf8Jh8X/+hVtf/Adv/jlexUUf27T/AOgWn9z/AMw9k/5meO/8Jh8X/wDoVbX/AMB2/wDjlH/CYfF//oVbX/wHb/45XsVFH9u0/wDoFp/c/wDMPZP+Znjv/CYfF/8A6FW1/wDAdv8A45R/wmHxf/6FW1/8B2/+OV7FRR/btP8A6Baf3P8AzD2T/mZ47/wmHxf/AOhVtf8AwHb/AOOUf8Jh8X/+hVtf/Adv/jlexUUf27T/AOgWn9z/AMw9k/5meO/8Jh8X/wDoVbX/AMB2/wDjlH/CYfF//oVbX/wHb/45XsVFH9u0/wDoFp/c/wDMPZP+Znjv/CYfF/8A6FW1/wDAdv8A45R/wmHxf/6FW1/8B2/+OV7FRR/btP8A6Baf3P8AzD2T/mZ47/wmHxf/AOhVtf8AwHb/AOOUf8Jh8X/+hVtf/Adv/jlexUUf27T/AOgWn9z/AMw9k/5meO/8Jh8X/wDoVbX/AMB2/wDjlbXw28f674m8Qapo2u2Vrb3FkhY+SjKVYNtZWBY9z+lekV478Nv+Sz+NP9+f/wBHiu7D4qjjsNXvQjFwimmr33S7kuLjJans1FFFeEahRRRQAV4bb/FH4ga5qeox+H9CsrmC1lKECJmZASQu47xknaa9yrxf4Gf8hLxd/wBfEP8AOWvYy90qWExGJnTU3DlsntrKzM53ckkx3/CYfF//AKFW1/8AAdv/AI5R/wAJh8X/APoVbX/wHb/45XsVFc39u0/+gWn9z/zH7J/zM8d/4TD4v/8AQq2v/gO3/wAco/4TD4v/APQq2v8A4Dt/8cr2Kij+3af/AEC0/uf+Yeyf8zPHf+Ew+L//AEKtr/4Dt/8AHKP+Ew+L/wD0Ktr/AOA7f/HK9ioo/t2n/wBAtP7n/mHsn/Mzx3/hMPi//wBCra/+A7f/AByj/hMPi/8A9Cra/wDgO3/xyvYqKP7dp/8AQLT+5/5h7J/zM8d/4TD4v/8AQq2v/gO3/wAco/4TD4v/APQq2v8A4Dt/8cr2Kij+3af/AEC0/uf+Yeyf8zPHf+Ew+L//AEKtr/4Dt/8AHKP+Ew+L/wD0Ktr/AOA7f/HK9ioo/t2n/wBAtP7n/mHsn/Mzx3/hMPi//wBCra/+A7f/AByj/hMPi/8A9Cra/wDgO3/xyvYqKP7dp/8AQLT+5/5h7J/zM8d/4TD4v/8AQq2v/gO3/wAco/4TD4v/APQq2v8A4Dt/8cr2KqX9s6X5skX9pWfmR7t6eeuV29cjPGO/pT/tyn/0C0/uf+Yeyf8AMzyr/hMPi/8A9Cra/wDgO3/xyj/hMPi//wBCra/+A7f/AByvYqKX9u0/+gWn9z/zD2T/AJmeO/8ACYfF/wD6FW1/8B2/+OUf8Jh8X/8AoVbX/wAB2/8AjlexUUf27T/6Baf3P/MPZP8AmZ47/wAJh8X/APoVbX/wHb/45R/wmHxf/wChVtf/AAHb/wCOV7CWUEAkAnoM9aWj+3af/QLT+5/5h7J/zM8d/wCEw+L/AP0Ktr/4Dt/8co/4TD4v/wDQq2v/AIDt/wDHK9ioo/t2n/0C0/uf+Yeyf8zPHf8AhMPi/wD9Cra/+A7f/HKP+Ew+L/8A0Ktr/wCA7f8AxyvYqKP7dp/9AtP7n/mHsn/Mzx3/AITD4v8A/Qq2v/gO3/xyj/hMPi//ANCra/8AgO3/AMcr2Kij+3af/QLT+5/5h7J/zM8d/wCEw+L/AP0Ktr/4Dt/8co/4TD4v/wDQq2v/AIDt/wDHK9ioo/t2n/0C0/uf+Yeyf8zPHf8AhMPi/wD9Cra/+A7f/HKP+Ew+L/8A0Ktr/wCA7f8AxyvYqKP7dp/9AtP7n/mHsn/Mzx3/AITD4v8A/Qq2v/gO3/xyj/hMPi//ANCra/8AgO3/AMcr2Kij+3af/QLT+5/5h7J/zM8d/wCEw+L/AP0Ktr/4Dt/8co/4TD4v/wDQq2v/AIDt/wDHK9ioo/t2n/0C0/uf+Yeyf8zPHf8AhMPi/wD9Cra/+A7f/HKP+Ew+L/8A0Ktr/wCA7f8AxyvYqKP7dp/9AtP7n/mHsn/Mzx3/AITD4v8A/Qq2v/gO3/xyj/hMPi//ANCra/8AgO3/AMcr2Kij+3af/QLT+5/5h7J/zM8d/wCEw+L/AP0Ktr/4Dt/8co/4TD4v/wDQq2v/AIDt/wDHK9ioo/t2n/0C0/uf+Yeyf8zPHf8AhMPi/wD9Cra/+A7f/HKpap8R/ifodkb3U/D1jbWysFMkkDYyeg4kr2+vOvjb/wAk4n/6+Yv512ZfmlHE4qnQlhoJSaWz6/MmcHGLd2dfomvHVNB07UJIdkl1axTsqnhSyhiB+dFYvhH/AJEvQv8AsHW//otaK469GEasopaJstPQ4344f8h7wb/18S/+hQ17FXjvxw/5D3g3/r4l/wDQoa9ip5t/yL8J6T/9KFT+OXyCiiivnjYKKKKACiiigAooooAKKKKACiiigAooooA4jxHeax4e8YR67Dod3rOly2ItZEsgGntnV2YsqH7wYFQcf3B6Cs19esl8C+LPEfhWMLcSNLNdW9yrQPbTLEFbK4Pz/KGxwCT1rsJItYt9furuFILjT5IIkWEyFZFdS+5hxjkFRg46deOcq48Jz6lpfipZ2itrvXojFtQ7liAi8tCTgbj3P5c4ybTXURptqt5p/hz7dd2DSzKI1WG0dp2fcVUE/ID1bJwDgAnnpTrXXXuNWv8ASHtkTUbWBLhUE26ORH3Bfm25HzIQfl44PNZuqaNrup+HxbedDbz+bbmS3S4fy5YkIMke8KGXf8wyB0x6mo7bw9qVl4qfV7G3061t5bJLY2yMV2+W7uBwmDuLkE/wgcZpWQE+ieKdR16zgubbQischuI2d7obI5InK4J25KsQQGAPIPHcweC9S1bW/By3d7aWsj3HnsB9pYhyZX+Q5T5VHQdeAOKveDdK1LRNCGn6kloHSaaVXtpmkDCSV5MHci4xuA759qh8NaNqmgaVHYH7PIloJ1hxMwE++Tepb5flIHH8XJNN21sBnWXie30f4d6Pq1hooh01migNqk/zQK8ojG35Tv5PtXQW2uO/iJtFurUQ3BtPtcbJJvVk37CDwMMCV9Rz1rmB4T18fDqw8OhNMN3b3EMjSfapNhWOZZeD5WcnaRjHHXJ6Vq3FjqsHjNfEU0FmLCDTHtpVS4dpcllkJVfLwcbSAMjPXjpQ0gIovG73VppV5a6ar2+ryPFYNJcbS7BWZd42nZuCHHXtnFdapYxglQHxyueh9M15pp41HQNDtdfm0XTbnTrSJrlGj1CXzkjcZLpEVMQkKk5VWAJJAPNemZO3I69s8UpJdAOZ0fxRf6tcyxLojKtvfyWN1IlyGWIqpO8ZCll+6PX5h15wv/CXo2gS+IYrMvose5zOJP3jRKSGlCY5Xgt97JUZxnin+F9K1TTG1ddSishHe30t2ht7hpCA+PlIZF9OtZsfhPU7fwRN4OhktvsLxSWqXrOfMW3cnOU24LhWK/ewcZ46U9LgWZ/GNxDda3CNLRv7MtFvVP2oD7TC24hk+X0Rhz3wO+avWPiC51CTSDBp6Pb6hafa2mW5BES/Ljjb82d64x7+lVr7woZNc0S9spVhgs4Ta3MbZJlgBV0UfR4169mb1qfwt4fm0CK7hlmSSLzmS0CZ/d225nRD7qXYfQL6UnawHQUUUVIwooooAKKKKACiiigAooooAKKKKACiiigArx34bf8AJZ/Gn+/P/wCjxXsVeO/Db/ks/jT/AH5//R4r6HJf92xX+Bf+lIxqbxPZqKKK88sKKKKACvF/gZ/yEvF3/XxD/OWvaK8X+Bn/ACEvF3/XxD/OWvVw3/Irxf8A25/6UQ/jj8z2SiiivmTYKKKKACiiigAooooAKKKKACiiigAooooAgvIpZ7G4hglMM0kbKkg/gYjAP4GvLV16C38MW3hDxp4evtJCxx2i6gIRLZ+YuAkgkH3SSAefXk9a9N1WCe60e+t7ZtlxLbyJE2cYYqQDntzWHrGm6xrvhufQr63tM3cPkXF2kh2BTwzqhGd3UgdAcfNxVxfcRFPqus/8LITTIra1a0j01p1zcspbdKqliNhGRtwB7nnnFaGpeIJ7GbUVi02SWPT7dbiWSRjGJAdx2xkqVZgF6Ejkj61BqOh37eJ11WweIK+mvYPvkKtES4ZZF4Occ8cdqq3vhm+vNb1me5FrdQX0KRWckzEmyGzawVCMcklsggnocYBo0Atal4s+yQaFd2tl9qs9YljihcS7GVpELoSu08ELyc8ZrO1nXdfS98NRppcNqbzUJIZYpbvk7UlIGVUjawQNnr0GO4hXw14jTRvDFnjTZH0e4glbdcuoKxwGLapERzkktk9M4561veINJu9Rn0W8tfKM+m3ouTFI5CupjeNgGwefnyOO2OM0aICtq1xFF4q8Li+0mCW5meaOC6Wck2shhZnAG0bgVTGePpSReKL2bUNcsU0lDPpJUuftXyyKyb1wdn3iO2OMdemU1LR9ZutV8OXUYs5Bp07z3BluHVmLxSRlUAQ5A35BJGcY461Fa6NrlvrPia9MGnMmqCPyF+1vlSkYj+b91xkZPGfT3o0AuHxZbTWWgTWUDTS64A1pG7bAB5RlJc4OMKD0B5wPepdC16bWp7tPsKwx2k8lrM3nbisyFeANoypDZBz0xkA8DljpWqWWi+EvDZgsZdVsYy6E3MiRMkMYjLCVVDqxMi8AHjOeOa3vDNzPZ31xoV5pdtZ3CR/bN9pdNcJKHdgWZnVWDkg/ezn14OBpW0AueJtek8OWEF79i+1QNcxQShZNrp5jqgKjB3ct0yKjfxHPby29ndaY0Oo3d09vawecrLKqrvaXcBwgGeoznjHIpPGGlajrOlQWmnJal1u7e4Y3MzRjEUqSYG1GznbjtjPel1fRbq/1DRNYh8lNQ0x3Pks5MbrIm113bcjsQdv8PTnhK1gINR8Vy6cNTgbTfN1CwtRetbRzcTQfNlo2K8kFSCpA5x6jJaeLJLrWtM0/7FCF1GxN7DMt1uBUBflxt6/MMdiAT2xU9lok8niq68QagIllezWxht42LhYwxdixIGWJI4AwAvU5rAt/AV/aaHb21vqEa31jfZsbjnMVpl0EZPciKR/bdj0zT90DrdE1C51TTUvLmyFoZGOxPNEm5OzZAHXqPbH0GjTIokghSKJQkaKFVR0AHAFPqBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXnXxt/wCScT/9fMX869Frzr42/wDJOJ/+vmL+depkn/Ixof4l+ZnU+Bmr4R/5EvQv+wdb/wDotaKPCP8AyJehf9g63/8ARa0V6OJ/jT9X+ZMdjjfjh/yHvBv/AF8S/wDoUNexV5T8atD1XU7jwxcaVCs08d1JCke4AmRgrr1IGMRNVL+1PjX/ANAa1/KH/wCLrqrYJY7AYeNOrCLhzXUpJPWV0SpcsndHsdFeOf2p8a/+gNa/lD/8XR/anxr/AOgNa/lD/wDF15/+r1X/AJ/0v/A0X7Vdmex0V45/anxr/wCgNa/lD/8AF1Rl8ffEjQvEGl2Ou2FjGb6VUSORVAcFgp+ZGOOo/wADTXDmIlfkq05OzdlJN6C9suqZ7jRWB53i7af9A0TPb/TZf/jVBm8XYGLDRM9/9Nl/+NV8+bG/RWD53i3cf9A0Tb2/02XP/oqk87xdtP8AoGiZ7f6bL/8AGqAN+iublvvFcU8EJ0/Rd0uQD9tlxwM/88qm87xbuP8AoGibe3+my5/9FUAb1FYHneLtp/0DRM9v9Nl/+NUGbxdxiw0T3/02X/41QBv0Vg+d4t3H/QNE29v9Nlz/AOiqhe+8WJcRQHT9F3yhmUi9lwAMZz+696AOkorAM3i7jFhonv8A6bL/APGqXzvFu4/6BomO3+my/wDxqgDeorA87xdt/wCPDRM/9fsv/wAaoM3i7jFhonv/AKbL/wDGqAN+iuca+8VrepbHT9GzJG8in7bL0UqOf3X+0P1qTzvF23/jw0TP/X7L/wDGqAN+isAzeLuMWGie/wDpsv8A8apfO8W7j/oGiY7f6bL/APGqANBdG0tJRKum2iyK+8MIFBDdd3Tr71erA87xdt/48NEz/wBfsv8A8aqI33isXa239n6LvMZkJ+2y4wCB/wA8vegDpKKwfO8W5P8AoGiY7f6bL/8AGqTzvF23/jw0TOf+f2X/AONUAb9FYBm8XcYsNE9/9Nl/+NUvneLcn/QNEx2/02X/AONUAb1Fc2L7xYbo239n6L5gQSZ+2y4wSR/zy68VL53i7IxYaJ7/AOmy/wDxqgDforB87xbk/wCgaJjt/psv/wAapPO8Xbf+PDRM5/5/Zf8A41QBv0Vg+d4tyP8AQNEx3/02X/41UK33itryW2/s/RdyRrJn7bLjDFgP+WX+yaAOkorA87xdt/48NEzn/n9l/wDjVL53i3I/0DRMd/8ATZf/AI1QBvUVg+d4tyf9A0THb/TZf/jVJ53i7b/x4aJnP/P7L/8AGqAN+ivFL3x78Q9Q8Z6joOh2Ng89kDvhjwwAUgFtzlc8sOw69Ksf2p8a/wDoDWv5Q/8Axde+uHq/LGU6kI3SdnKzszL2q7M9jorxz+1PjX/0BrX8of8A4uj+1PjX/wBAa1/KH/4uj/V6r/z/AKX/AIGg9quzPY68d+G3/JZ/Gn+/P/6PFJ/anxr/AOgNa/lD/wDF1J8JtG1238d+JtQ123W3u3UeegZT+8kYScbSRjH869DC4H6jhcQ6lWD5opJRkm910IlLmkrJnsdFFFeCahRRRQAV4v8AAz/kJeLv+viH+cte0V87+HNN+Ivh3VtfHhrToZ42vTDO7NGRuQkjG5gekmfxr2supxr4PE4fnjGUuS3M7LSV2ZzdpJn0JRXjn9qfGv8A6A1r+UP/AMXR/anxr/6A1r+UP/xdcf8Aq9V/5/0v/A0V7Vdmex0V45/anxr/AOgNa/lD/wDF0f2p8a/+gNa/lD/8XR/q9V/5/wBL/wADQe1XZnsdFeWfDrxx4t8X6feP9l0mV7aRVLyyPCSGGRwqsD0PpXa+d4t3/wDHhom3/r9lz/6KrysZhKmDryw9X4o9vvLjJSV0b1FYAm8XYObDRM9v9Nl/+NUGbxdgYsNEz3/02X/41XKUb9FYPneLd/8Ax4aJt/6/Zc/+iqhtr7xZcwtIun6KMSPHzeS9VYqf+WXqKAOkorAM3i7AxYaJnv8A6bL/APGqXzvFu/8A48NE2/8AX7Ln/wBFUAb1FYAm8XYObDRM9v8ATZf/AI1QZvF2Biw0TPf/AE2X/wCNUAb9Fc3bX3iu6jEqafowjJYYN7Lngkf88vUVKJvF2Dmw0TPb/TZf/jVAG/RWAZvF2Biw0TPf/TZf/jVL53i3d/x4aJt/6/Zc/wDoqgDeorAE3i7BzYaJnt/psv8A8aqK2vvFl1axTx6fooDjOGvZf/jVAHSUVg+d4t3f8eGibf8Ar9lz/wCiqTzvF205sNEz2/02X/41QBs3NnbXsYjureKdFO4LKgYA+vPektrK0slZbW2hgDnLeUgXcfU46msczeLsDFhome/+my//ABql87xbuP8AoGibf+v2XP8A6KoA3qK5u1vvFl3ZxXCafooEqK6g3svAIzz+6qUzeLsDFhome/8Apsv/AMaoA36KwfO8W7j/AKBom3/r9lz/AOiqTzvF20/6Bome3+my/wDxqgDforn3uPFqJu+waJwMn/TZf/jVNt7zxXcQRzrp+iiORA6g3suRkZGf3VAHRUVged4u2n/QNEz2/wBNl/8AjVBm8XcYsNE9/wDTZf8A41QBv0Vg+d4t3H/QNE29v9Nlz/6KqOa78Ww28krWGiHYpY4vZegGf+eVAHRUVzyXPi2SKORbDRMMoPN7L3/7ZU/zvFu4/wCgaJt7f6bLn/0VQBvUVged4u2/8eGiZ/6/Zf8A41QZvF3GLDRPf/TZf/jVAG/RXB+MvEvizwz4YvNVNjo4EW1VZLiSQgswUHaUUHr61x+n+JPjDqunwX9lpdrNazoHjkCxDcD3wXzXrYLJ62LouvGcYxvb3pW1tczlUUXY9sorxz+1PjX/ANAa1/KH/wCLo/tT41/9Aa1/KH/4uun/AFeq/wDP+l/4Ghe1XZnsdedfG3/knE//AF8xfzrB/tT41/8AQGtfyh/+LrB8Zf8AC0tV8M3Mev6TDHpsOJ5nQxAqF5zw5NduW5NLDYunWnWp2i03766ETqXi0kz1Hwj/AMiXoX/YOt//AEWtFafh7RLnT/DWlWVwyLPb2cMUgByAyoAee/Iorkr1YOrJp9X+ZaWgzxVu+3+GNoz/AMThc8dvImrpK5vxWM3/AIX+bH/E4X8f3E1dJXnlBRRRQAV4z8Xv+Sg+Cv8Aruv/AKNSvZq8Z+L3/JQfBX/Xdf8A0alezkP++L/DL/0lmdX4T2KiiivlTcKKKKAK0/m/bLXYuY8tvO3OPl457VZqpcqDf2RMgUhnwpz83y1boAKKKKACq0vm/wBoW21cx7H3tt6H5cc9u9WaqTKDqdoxkAISTCc5b7v8qALdFFFABRRRQBWfzf7Tgwv7ryZNzbejbkwM/Td+XtVmqkig6vbN5gBEEoCc5PzR8/hj9at0AFFFFABVY+b/AGmvy/uvJOW2/wAW4cZ+lWaqFR/a6N5gz5DDZzn7w5oAt0UUUAFFFFAFYeb/AGm3y/uvJGG2/wAW48Z+lWaqBR/a7t5g3eQo2c5+8eat0AFFFFABVZPN/tObK/uvJj2tt6tufIz9Mfn71ZqpGoGr3DeYCxgiBTnI+Z+fxz+lAFuiiigAooooA8d8Df8AJf8AxX/17zf+jYq9mrxnwN/yX/xX/wBe83/o2KvZq+pzr+NT/wAEPyMKez9QooorxzQK5rQ9/wDwmfirIwvmWu046/uRXS1zOhADxr4rO4EmS149P3IoA6aiiigAooooAK5rwlu+0eJNwx/xOJccY48uOulrmfCAAuPEuGDZ1mU/T93HxQB01FFFABRRRQB4t+z5/wAgvXP+u0X/AKC1ey141+z5/wAgvXP+u0X/AKC1ey128Tf8jWt6r/0lE0fgQUUUV4JqFVrHzfs7ecu1vOlwNuPl8xtp/LH1qzVTTlC2zgSBx58xyM95GOPw6fhQBbooooAKKKKAK1h5v2Qecu1975G3HG44/TFWaqaaoSyAWQSDe/zDP98+tW6ACiiigAqtp/m/YIfOXbJt+YbcY/CrNVNMUJpsCrIJAF4cZwfzoAt0UUUAFFFFAFbTvN/s2189dsvlLvXbjBxyMdqs1U0tQmk2arIJAIUAcZw3A55q3QAUUUUANkz5bbRk4OKist/2C381dsnlLuGMYOBnjtUsozE4zj5Tz6VBp6hdNtVDhwIUAYdDwOaALNFFFABUV1v+yTeWMv5bbRjOTjjipahvAGsbgFgoMbDce3HWgB0G77PHvGG2jIxjnFSVFbgC2iAbcAg59eKloAKKKKAOD+Mn/JMdS/34f/Rq1sfDn/knWg/9ei1j/GT/AJJjqX+/D/6NWtj4c/8AJOtB/wCvRa+kpf8AIlj/ANfH/wCkoxf8T5HUUUUV5hYVznj/AHf8K/1/aMn7DL/6Ca6Oub+IAz8PtfBOP9Bl5/4CaAOkooooA5rxXt+3+F9wJ/4nC4+vkTV0tc34q3fb/DG0Z/4nC547eRNXSUAFFFFABXjPxe/5KD4K/wCu6/8Ao1K9mrxn4vf8lB8Ff9d1/wDRqV7OQ/74v8Mv/SWZ1fhPYqKKK+VNwooooAqXJjF/ZBlJcl9pB4Hy85q3VafzPtlptTKZbe23O35eOe1WaACiiigAqpMU/tS0DKS5STaQeB93PFW6rS+Z/aFttTMex9zbc4Py457d6ALNFFFABRRRQBUkKf2vbAqfM8iXa2eAN0eRj8vyq3VZ/M/tODCZi8mTc23o25MDPbPPHfHtVmgAooooAKqEx/2wg2nzPs7HdnjG4cYq3VY+Z/aa/J+68k/Nt/i3DjP9KALNFFFABRRRQBUBj/thxtPmfZ1+bPGNx4xVuqw8z+02+T915Iw23+LceM/0qzQAUUUUAFVIyn9sXACnzPs8WWzwRukwMfn+dW6rJ5n9pzZTEXkx7W29W3PkZ/Lj396ALNFFFABRRRQB474G/wCS/wDiv/r3m/8ARsVezV4z4G/5L/4r/wCveb/0bFXs1fU51/Gp/wCCH5GFPZ+oUUUV45oFczoRX/hNfFeAd3mWuTnr+5FdNXNaHu/4TPxVlcL5lrtOOv7kUAdLRRRQAUUUUAFcz4QKm48S7QR/xOZc5Pfy466aua8I7vtHiTcMf8TmXHGMjy46AOlooooAKKKKAPFv2fP+QXrn/XaL/wBBavZa8a/Z8/5Beuf9dov/AEFq9lrt4m/5Gtb1X/pKJo/AgooorwTUKqacYzav5alV8+bIJzz5jZP55q3Vax8z7O/mpsbzpcDbj5fMbB/EYOe9AFmiiigAooooAqaYUNipjUqu9+Ccn75zVuq1h5n2Qeamx978bdvG444+lWaACiiigAqppZjOmW5iUqm3gMckfjVuq2n+Z9gh85Nkm35l27cfhQBZooooAKKKKAKmlGM6RZmJSsZgTarHJAwMZNW6rad5n9mWvnJsl8pd67duDgZGO1WaACiiigBkuPJfIyNpzUOnlDptqYwVQwptBOSBgd6nkz5bbRk4OBUVlv8AsFv5i7ZPKXcu3GDgZGO1AE9FFFABUF4VFjcFwSvltkA4JGKnqK63/ZJvLXc/lttGM5OPSgAttptYioIXYMA+mKlqODd9nj3DDbBkYxg4qSgAooooA4P4yf8AJMdS/wB+H/0atbHw5/5J1oP/AF6LWP8AGT/kmOpf78P/AKNWtj4c/wDJOtB/69Fr6Sl/yJY/9fH/AOkoxf8AE+R1FFFFeYWFc38QMf8ACvtf3DI+wy9P9010lc54/wB3/Cv9f2jJ+wy8Y/2TQB0dFFFAHL+MRKbrwz5JQSf2wu3zM4P7ib0rbb+09kewWe/B35LY69vwrH8V7ft/hfcCf+JwuMevkTV0tAFX/T/tDcW3kc45bd049utMX+1PKfcLPzMjbgtjHfNXaKAKTf2nsj2C03Y+fJbGc9vwrzT4q+FPEmua3oeoaOlq8trIwhXzArbhhwTu4P3D+VesVSvTGLzTd6sWNw2wg4APlP19eM11YPFzwlZVqaTavvtqrEyipKzPJdvxw/6df/Jajb8cP+nX/wAlq9nort/taP8A0DUv/AP+CT7PzZ4xt+OH/Tr/AOS1G344f9Ov/ktXs9FH9rR/6BqX/gH/AAQ9n5s8Ij8VfETRvHeg6X4kkts3cyqseyMgq7bCcx/jXtX+nec3Fv5XO3lt3tmvJviT/wAln8F/78H/AKPNexVhnsabhh60IRg5RbairLd9B0r6psqD+0fKbItfMyNuC2Md80N/aGE2i1zj58luue34Vbor542K3+nec/Fv5XO3lt3tmqUq6gb63ZntBKFfamWww+XPbt/Wtaqkxj/tS0DKxfZJtIPA+7nP6UADf2hhNotc4+fJbrntTv8ATvOfi38rnby272zVmigCoP7R8o5Fr5mRjlsY70N/aH7vaLXp8+S3XPardFAGY4u/7ZjYvbgCCYRplskZTk8Y4IH51YH9o+Uci18zPHLYx/jRIY/7YtgQ3meRLtOeAN0eePy/WrdAFRv7Q/d7RbdPnyW6+1L/AKd5r8W3l87OWz7Zq1RQBUH9o+Uci18zdxy2Mf41Wdb3+1IWD22/yCHQlv7wyRx9K1KqEx/2wg2t5n2duc8Y3DtQAv8Ap/mPxbeXg7OWz7ZpP+Jj5R4tfM3cctjH+NW6KAKp/tDMe0W2MDfkt174oH2/zHyLbZg7OWz7Zq1RQBkhdQ/tB232nneUo2ZbG3J56etXD/aGY9otsYG/Jbr3xSAx/wBsOMN5n2dec8Y3HtVugCqPt/mSZFtswdnLZz2zSf8AEx8rpa+Zu9Wxj/GrdFAFU/b90eBbbcDfktnPfFeO654r8d3vxO1PQvDL26yQIqrHsTlFG7JL98ua9srxvw7/AMnH63/1wf8A9Ajr6DIIU+avUqQUuWDaUldXuuhjVvol3F2/HD/p1/8AJajb8cP+nX/yWr2eiuj+1o/9A1L/AMA/4IvZ+bPGNvxw/wCnX/yWo2/HD/p1/wDJavZ6KP7Wj/0DUv8AwD/gh7PzZ498OvCni7TvHuqa5riWqXFxBtmBkUli7q2QE4H3DXqo/tHfJkWuzB8vBbOe2aSAx/2vehVYSCOLcSeCPmxgfnV2uPG4yeLq+0mktErLRWRUYqKsil/xNPJ6Wfm7vVtu3/GlP9o+ZHgWuzA8zls574q5RXIUUx/aW+TItduD5eC2c9s1geGxN/wl/io3DRGUyWuRHnA/cj1rq65nQtv/AAmvivAO7zLXPP8A0xFAHTUUUUAFFFFABXJeFBdjUfEXlmBoDrEu7JbcD5cfHp6V1tcz4Q2/aPEu0Ef8TmXOfXy46ANlf7T8t94s9/GzBbHvmhv7U8pNos/M535LY9sVdooAq/6f9pHFt5H1bd0/LrTF/tPy33iz8zjZgtj3zV2igD588OeEvih4VF7B4fS18mSYrI4khYOyZHG/kd63Nvxw/wCnX/yWr1rTDGYrjy1YD7TLu3HOTuOfwq7Xt1c7lWm51aFOUnu3G7f4map20TZ4xt+OH/Tr/wCS1G344f8ATr/5LV7PRWf9rR/6BqX/AIB/wQ9n5s8Wkb42xRPI/wBmCopYn/Rugrd+E3ifWvE3hm9lvHt5J4LtlWQrt3bvnOQOOrHGK9Ev/wDkHXX/AFxf+Rryj4Af8itqn/X7/wCyLWmIqUsVllaq6MIyi42cY23buCTjNK56g39o+Wm0Wu/nfktj2xTv9N+0dLfyfq27p+XWrNFfJm5UX+0fLfcLXfxtwWx75ob+0fLTaLXfzvyWx7Yq3RQBmact4sQCvbSQb5MMC277x/rVhf7R8t9wtd/G3BbHvmjTDGbFTErBN8nDHJ++c1boAqN/aOxNotd/O/JbHtinf6b554t/J7ctu6fl1qzRQBUX+0fLbcLXfxtwWx75qrYrfJplssL2smF5YlsHnjHFatVNLMZ0y3MSsqbeAxyaAHf6b554t/J5xy27px+tNH9o+W24Wu/I24LY981booAqN/aOxNotd38eS2Pwp3+m+e3Fv5POOW3dOP1qzRQBlaat8mkW6o9rJiJBG4LYYY6njPpVpv7R2ptFrux8+S2OvajSjGdIszErLH5CbQxyQMDGTVugCt/pvntxb+Tzt5bd7Zpo/tHymyLXzMjbgtjHfNW6KAKU39oGEY+yg7TvJLcfT8Kj08Xq2luoa2eEQqFYFst8vBq9Ljynz02nOKh08odNtTGCE8lNoY5IGB1oAaP7R8psi18zI24LYx3zQ39obU2i1zj58luue34VbooArf6d5zcW/lc7eW3e2a5vxzrGq6D4F1XUYxa+fEiqhG4gBmCk89xurra4v4tf8kw1r/di/wDRqV25bTjUxlGE1dOUU/RtEzdotnA6LqXxi1nR7bUNOkt5LOZcxOVt1JAOOh57Vf2/HD/p1/8AJau3+Ff/ACTPQ/8Ari3/AKG1dhX0eLzGnRrzpxw1K0W18HZ+pjGDaTuzxjb8cP8Ap1/8lqNvxw/6df8AyWr2eiuf+1o/9A1L/wAA/wCCP2fmzwTxDo/xd1vQ7iy1iO2ewIDygPbrwp3ZyvPavVvCml6vong/TdNl+xm4t4UQ4ZivTnn1zWzqpjGj3xlDNH9nk3BTgkbTnBq2mNi46YrHFZlPEUlRUIwine0VbXbuOMLO9yo39pfu9otOn7zJbrnt+FL/AMTDzpOLXysHZy272z/WrdFecWUh/anknIs/N3DHLbcd/wAa57x//aB8A60CbUJ9gk805bOcHpXXVzfxAx/wr7X9wJH2GXp/umgDpKKKKAOb8Vbvt/hjaM/8Thc8ZwPImrpK5vxWM3/hf5gP+Jwv4/uJq6SgAooooAKqXfmfarDZGGXzjvO3O0eW/Oe3OBn3x3q3VO8XN3px81U2zsdpJ+f90/A/n+FAFyiiigAooooA8Z+JP/JZ/Bf+/B/6PNexV478Sf8Aks/gv/fg/wDR5r2KvQzr/dsL/gf/AKUyKe8gooor542Cq0vmf2hbbUBj2Pubbnb93HPbvVmqky51O1bzAMJJ8meW+7/KgC3RRRQAUUUUAVn8z+04MJmPyZNz7eh3JgZ7Z54749qs1UkX/ibW7eYBiCUbM8n5o+fw/rVugAooooAKrHzP7UX5B5fkn59vfcOM/wBKs1UK/wDE2RvMH+oYbM8/eHNAFuiiigAooooArDzP7Ub5B5fkj59vfceM/wBKs1UC/wDE2dvMH+oUbM8/ePNW6ACiiigArxvw7/ycfrf/AFwf/wBAjr2SvG/Dv/Jx+t/9cH/9Ajr6DIfhxP8A17f5oxq/Z9T2iiiiuAsKKKKAKkJk/tO63RgR7I9j7cbj82ee+OPpmrdU4Fxqt43mq2Y4vkBOV+9/P+lXKACiiigArmtD3f8ACZ+KsrhfMtcHHX9yK6WuZ0If8Vr4rO4HMlrx6fuRQB01FFFABRRRQAVzXhHd9o8Sblx/xOZccYyPLjrpa5nwgMXHiX5g3/E5l6dv3cfFAHTUUUUAFFFFAFSwMhjm82MIfPk2gLtyu44P4+tW6p6cu2Kf96smbiQ5BPHzHj8KuUAFFFFAFe//AOQddf8AXF/5GvKPgB/yK2qf9fv/ALIter3/APyDrr/ri/8AI15R8AP+RW1T/r9/9kWvUpf8inE+sPzZD/iL5nrdFFFfNGwUUUUAVrDzPsg81Aj73+ULt/iOOPpVmqmmrtsgPMEnzv8AMD/tmrdABRRRQAVW0/zDp8PmoEfbyoXbj8O1WaqaYu3TYB5gkwv3weD+dAFuiiigAooooArad5h0y181PLk8pdyBdu04GRjt9Ks1U0tdulWa+YJMQoN4Jw3A55q3QAUUUUANkz5bYGTg4FRWO/7BbeYmx/KXcu3GDgZGO1SycxPzj5Tz6VDYDbp1qN4fEKDcOjcDmgCxRRRQAVxfxa/5JhrX+7F/6NSu0ri/i1/yTDWv92L/ANGpXflX+/0P8cfzRE/hZY+Ff/JM9D/64t/6G1dhXH/Cv/kmeh/9cW/9DauwruzH/fKv+KX5smHwoKKKK4yirqXmf2Xd+UnmSeS+xCu7cdpwMd/pVlc7Rng4qrqi7tIvV8wR5gcb2Jwvynk4q0v3F5zx1oAWiiigArnPH+f+Ffa/tGT9hl4xn+E10dc58QBn4fa/zj/QZef+AmgDo6KKKAOa8V7ft/hfdn/kMLjHr5E1dLXMeMPON14aFvsEn9rrgupYD9xNzgEVtMmp7I9k9mHwd5MLEHnt83HFAF2iqu2/+0MfOtvI5wvlNu6cc7sdfamKmqeU4aez8zI2kQtgDvkbvpQBdqlemP7Zpu8MWNw2wg8A+U/X2xn9KGTU9keye0DY+cmFiCc9vm44qC5GoDUbTH2d4DK2P3BLR/u3wSc+uBxjrjvQBqUVSVNU8pw09n5mRtIhbAHfI3fShk1PbHsntA2PnJhYgnPb5uOKALtFVdt/9oY+dbeTztXym3DjjJ3Y6+1MCap5LBp7PzcjaRC2AO+Ru+lAHk3xJ/5LP4L/AN+D/wBHmvYq8r+JHgrxRrfiTQ9X0aW2N3apt342CN1YurfNkY579x71Q/sj41/9Bm1/OH/4ivdxODp4/DYflrQi4xaak2nu/JmSk4yeh7HRXjn9kfGv/oM2v5w//EUf2R8a/wDoM2v5w/8AxFcP9gL/AKCaX/gT/wDkSva/3Wex1UmMf9qWm4Nv2SbSDx/DnP6V5P8A2R8a/wDoM2v5w/8AxFULPX/iDofxG0bQ/EGpW8z3YBCmKNlCOWXOVUEHKdj2FP8A1em4ydOvTk0m7Ju9lr2D2q6pnuVFVGXUMJtmtQcfPmJuTnt83HFO233nOfNt/K52jymyPTJ3V88bFmiqgTUfKIM1r5mRg+U2Md+N1DLqH7vbNajj58xNyc9vm4oAJDH/AGxbAhvM+zy7TnjG6PP49P1q3Wc4v/7WTm3MRhl2v5JypymATnv17Z2/lME1HyiDNa+ZkYPlNjH03daALdFVGXUP3e2a16fPmJuTnt83FLtvvNc+bbeXzsHlNkemTu5oAtVUJj/thBhvM+ztznjG4frQE1HyiDNa+Zu4PlNjH03dagddR/tGEKbbHknfIYT13DgHdxx2oA0qKq7b7zX/AHtt5eDsHlNkemTu5pNmo+UR51r5m7g+U2MfTd1oAt0VVZdQzHtmtsYG/MTcn2+bigLf+ZJmW22YOweU2R6Z+bmgBAY/7YcYbzPs6854xuP61brxTxL4h8dXnxRuPDWgahbQTRRLt2wooYeWJDkuGP8AF61Y/sj41/8AQZtfzh/+Ir348Pz9nCdStTjzJSSbd7PboZe1V7JM9jorxz+yPjX/ANBm1/OH/wCIo/sj41/9Bm1/OH/4in/YC/6CaX/gT/8AkRe1/us9jrxvw7/ycfrf/XB//QI6X+yPjX/0GbX84f8A4irHgXwR4u0/x9e6/r81sbiS1IMv3hI7YA4UAcBOfw9a78HgqeApV5TrwlzQaSi23e68l2JlJya0Z6/RVLZqnk48+z83d18ltu36butKU1HfHtntdoA8zMLZJ74+bj9a8E1LlFVAmo+ZJma12EHyx5LZB7Z+bn9Kbs1TycefZ+bu6+S23b9N3WgAgMf9r3oUN5nlxbyTwR82MfrV2sqNdTOpyjNqsYji3uYG+c/NnB3dvfOM1ZCajvkzPa7CD5YELZB7Z+bn9KALlFUtmqeTjz7Pzd3XyW27fpu60pTUfMjxNa7AB5g8lsk98fNx+tAFyuZ0Lb/wmvivAO7zLXP/AH5FbQTUt8mZ7XaQfLAhbIPbPzc/pWD4bFyPF3ikXPll/MtvmjQqD+5HqT/OgDqqKKKACiiigArmfCG37R4l2g/8hmXOfXy466auT8Ki9Oo+IirQJB/bEuVaI7j+7j5Bzj07UAdZRVJU1Py33z2ZfjYRC2B65+bmhk1TykCz2Yk53kwtg+mBuoAu0VV23/2kHzrbyP7vlNu6eu7HX2pipqnlvvnszJxsIhbA9c/NzQAaYYzFceUGA+0y7txz8245/CrtZFouqm3fDWkUgmk3brdgGG7ggBh19ec1d23/ANpz51t5H93ym3dPXdjr7UAWqKpKmqeW+6ezMnGwiFsD1z83NDJqnlJtnsxJzvJhbB9MDdxQBLf/APIOuv8Ari/8jXlHwA/5FbVP+v3/ANkWvUZ4L+fzYvPthA6FceU24ZGOu7HX2rxDQPA3xR8OW09vol7a20DzMWG5DvZTt3fOhODjj2xXs4GFOvga+GdSMJScWuZ2Wl79zOTaknY95orxz+yPjX/0GbX84f8A4ij+yPjX/wBBm1/OH/4iuX+wF/0E0v8AwJ//ACI/a/3Wex0V45/ZHxr/AOgza/nD/wDEVFdWHxns7Sa5l1m28uGNpHx5JOAMn+CmuH7uyxNL/wACf/yIe18meu6YYzYr5QYJvk4Y5P3zn9at1518JPEOt+JfC0t1qFxbyGG7kh3eQFZhtVs/KQOr+ld0qaj5b7prXfxtIibA9c/NXj4zCzwleVCpvF202NIyUldFuiqjJqOxNs1qH53kxNg+mPmp22988nzbfyew8tt3T13Y6+1cxRZqppZjOmW/lBgm3gMcmhU1Hy23TWu/jaRE2B65+aq9mupNp9vhraJ9vzq0DDHPGAGGOKANOiq22988nzbfyecDy23dOOd2OvtTQmo+W26a18zI2kRNgeufmoAt0VUZNR2JtmtQ2PnJibB+nzU7be+ex8238nnA8tt3Tjnd6+1ADdKMZ0izMQYR+Qm0MckDAxmrdZmnrqR0uHc1tFIY02p5DAJxyCN3+FWGTUdqbZrUNj5yYmwee3zccUAW6Krbb3z2Pm2/k87R5bbvbnd/SmhNR8pszWvmZG0iJsY75G6gCxLjynznG05xUOn7Dptr5YITyU2hjk4wMZrC8Zalq2ieDtR1G2mtfPt7dmyYSfmzgEAtjjPfNeX+HX+LniHQrbU9M1i3FnKGEYZYVICsVPGzjkGvXwOUTxdF1/aRhFO3vNrW1+zM5VFF2se7UV45/ZHxr/6DNr+cP/xFH9kfGv8A6DNr+cP/AMRXT/YC/wCgml/4E/8A5En2v91nsdcX8Wv+SYa1/uxf+jUrkP7I+Nf/AEGbX84f/iKo6x4V+Lur6TcWOpahbXFpIoMkQaMFsEMOiA9QK6cFk8aGJp1pYmnaMk/ifR37ClUumrM9F+Ff/JM9D/64t/6G1dhXLeD9F1bQfB+k6Y09oJIIcSho2bksWwDuHTOOnat7bqHnufOtvJ52Dym3D0yd3P5Vw46cZ4qpOLunJtfeVFWii3RVIJqnksDPZ+bkYIhbbjvxu69KGTU8R7Z7QHHz5hbk57fNxxXKULqpjGj3xlDGP7PJvCnBI2nOPeraY2Ljpis2/XURaXrA20sfkyeXEIGLMdpwD8xB/LmpUTVPs/M9mJcjB8lsAdxjd16UAXqKpsmp/u9s9oOP3mYW5Oe3zccUu3UPOkPnWvlYOweU24emTu596ALdc38QMf8ACvtf3Zx9hl6f7prXCap5JBns/N3DB8ltuO/G7rXPePl1EeAtaPmWrKLCTzB5LZY4PT5uOPXNAHXUUUUAc34rGb/wv8wH/E4X8f3E1dJXNeK9v2/wvuz/AMhhcY9fImrpaACiiigAqneKTd6eRKqYnYlScb/3T8D19fwq5VK98v7Zpu8Pu+0Ns2ngHyn6+2M/jigC7RRRQAUUUUAU7lSdQsT5qqAz5QnlvlPT6VcqldeV/aVhvD+ZufZg8fd5zV2gAooooAK8Z8c/8l/8Kf8AXvD/AOjZa9mrxnxz/wAl/wDCn/XvD/6Nlr2Ml/i1P8E/yM6my9T2KiiivljcKKKKAKsin+1rdvMAAglGzPJ+aPnHt/WrVVJPL/te2yG8zyJdp7Y3R5z79P1q3QAUUUUAFVSp/tZG8wY8hhszz94c4q1VQ+X/AGwnDeb9nbntjcP1oAt0UUUAFFFFAHjlp/yc5d/9e4/9Jlr2evGLT/k5y7/69x/6TLXs9fUZtth/+vUPyMKfX1YUUUV5BoFU41P9s3LeapBt4h5eeR80nOPf+lXKpR+X/bdzgP5v2aLcc/Lt3SYx79f0oAu0UUUAFFFFAFOBSNVu281WBjjwgPK/e/n/AEq5VKDyv7XvNofzPLi3knjHzYx+tXaACiiigArmdCH/ABWnis7gcyWvGen7kV01czoW3/hNfFeM7vMtc56f6kUAdNRRRQAUUUUAFc14RGLjxJ8wb/icy9D0/dx8V0tcz4Q2/aPEu3P/ACGZc59fLjoA6aiiigAooooAp6cpWKfMqyZuJDkHOPmPH4VcqlpvleVceUHA+0y7tx/i3HOPartABRRRQAVT0xStq4Mqyf6ROdynOP3rcfh0/CrlUtL8r7JJ5QcL9pnzuPO7zX3fhnOPagC7RRRQAVna/wD8i5qn/XpL/wCgGtGs7X/+Rc1T/r0l/wDQDWlH+JH1Qnsec/AP/kRb7/sJyf8AoqKvU68s+Af/ACIt9/2E5P8A0VFXqdXxB/yM63qFL4EFFFFeOaBVXTVK6dADIJCF++DkGrVVNL8v+zLfygwTbxu60AW6KKKACiiigCrpildKtFMgkIhQb1OQ3A5zVqqmleX/AGRZ+UGEfkJtDdcYGM+9W6ACiiigDlPiX/yTjXf+vb+oqp8Hf+SW6R9Z/wD0c9W/iX/yTjXf+vb+oqp8Hf8AklukfWf/ANHPX0mH/wCRLL/r6v8A0lmL/ifI7qiiivMLCoL0E2FwA4QmJvmJwF4PNT1Xvtn9n3PmZKeU27b1xg5xQA+2GLWEFg2EX5h3461LUVrt+yQ7M7fLXGeuMVLQAUUUUAVNUUtpF6okEZMDgOxwF+U8k1aX7i85461U1Xy/7HvvNDGP7PJvCnnG05x71bTGxcdMUALRRRQAVznj8Z+H2v8AOP8AQZeT/umujrm/iBj/AIV9r+7OPsMvT/dNAHSUUUUAc34rz9v8MYXP/E4XPGcfuJq6Sub8Vgm/8L4YD/icL36/uJq6SgAooooAKqXZcXdhtiDqZzuYrnYPLfnPbnAz7471bqneKTd6eRKqATsSpON/7t+B6+v4UAXKKKKACiiigCpcl/t9kFiDKWfc+3O35eOe2at1TuVY6hYkSqoDPlC2C3y9h3xVygAooooAK8Z8c/8AJf8Awp/17w/+jZa9mrxnxz/yX/wp/wBe8P8A6Nlr2Ml/i1P8E/yM6my9T2KiiivljcKKKKAKshf+1LcCMFPJly+3kHcmBntnnjvj2q1VWQH+1bc+YABBKCmeT80fOPb+tWqACiiigAqqS/8AaiDyxs8hvn2853DjP9KtVVIP9rI3mDb5DDZnn7w5xQBaooooAKKKKAPHLT/k5y7/AOvcf+ky17PXjFp/yc5d/wDXuP8A0mWvZ6+ozbbD/wDXqH5GFPr6sKKKK8g0CqkZf+2LgGICP7PFiTbyTukyM98ccds+9W6pxqf7ZuG81Spt4gI88g7pOce/9KALlFFFABRRRQBUhL/2pdgxBUCR7X24Lfezz3x/WrdU4FYardkyqwMceEDcr97qO2f6VcoAKKKKACua0Pd/wmnirKgDzLXBx1/ciulrmdCB/wCE08VncCPMteM9P3IoA6aiiigAooooAK5rwjn7R4kyu3/icy44xn93HzXS1zXhEEXHiTLBv+JzL0PT93HxQB0tFFFABRRRQBU08uY598QjPnyYAXbkbjg++fWrdU9OVljn3SrJm4kIIbOBuPH4VcoAKKKKACqmnFzav5kQjbz5sKF25HmNg49xg575zVuqemqy2rhpVkP2ic7lbOB5rYH4dPwoAuUUUUAFZ2v/APIuap/16S/+gGtGs7X/APkXNU/69Jf/AEA1pR/iR9UJ7HnPwD/5EW+/7Ccn/oqKvU68s+Af/Ii33/YTk/8ARUVep1fEH/IzreoUvgQUUUV45oFVdOLnT4DJGI228oF24/CrVVdNBXToA0gkIX74OQfxoAtUUUUAFFFFAFXTS50u0MkYjfyU3IF2hTgcY7fSrVVdMBXSrQNIJCIUBdTkNwOc96tUAFFFFAHKfEv/AJJxrv8A17f1FVPg7/yS3SPrP/6OerfxL/5Jxrv/AF7f1FVPg7/yS3SPrP8A+jnr6TD/APIll/19X/pLMX/E+R3VFFFeYWFQXm4WNwUQO3lthSM5OOmO9T1BegmwuAHCExNhicBeDzQA63z9li3LtbYMqBjHHTFS1FbAi1hBYMdi/MDnPHWpaACiiigCrqZcaVeGOMSOIH2oV3BjtOBjv9Ksr9wZGOOlVdUBbSbwLIIyYHAdjgL8p5J7Yq0v3F5zx1oAWiiigArnPH+f+Ffa/gZP2GXjGf4TXR1znj/n4fa/hsf6DLyf900AdHRRRQBy/jJXa58MiJwkh1hNrMm4A+RN1GR/OttodSKRhb22DAHeTbEhuew38cfWsjxXn7f4Ywuf+JwvbOP3E3NdJQBV8q++0M32qDyecJ5B3Djj5t3r7UxYdSEThr22MhI2sLYgAd8jfz+dXaKAKTQ6kUjC3tsGA+cm2JDHPYb+OPrVW9juf7UsGkuY9hnfykWA5DeVJ947uRjPateqd4XF3p4WIODO25iudg8t+Qe3OBn3x3oAQQ6kImDXtsZCRtYWxAA75G/nt3oaHUisYW9tgwHzk2xIY57fPxx9au0UAVfKvvtDN9qg8k52p5ByOOOd3P5UwQ6l5TA3tsZCRtYWxwB34389u9XaKAMa8ivft+mg3kIlBfn7MSpO05438cVe8q/892+1QeUc7U+znI9Mnfz+X5UXJcX9kBEGUs+5yuSny+vbNW6AKQh1LyWBvbYyEja32Y4A7jG/nt3oaHUiI9t5bAgfOTbE7jnt8/HH1q7UdvcQ3UCTwSLJE4yrqcg0AQeVf+e7faoPKOdqfZzkemTv5/Ln2ry3x/4G8T6z4z0rVtJ1KzW9ityiOVaLYUYtkfez/rP0r12qcxf+1LQCIMpSTL7clfu457Z/pXVg8XUwlT2tO17Naq6syZRUlZnkv/CKfGH/AKGe1/7/AH/2uj/hFPjD/wBDPa/9/v8A7XXs1Fd39sz/AOfVP/wBE+zXdnjP/CKfGH/oZ7X/AL/f/a6P+EU+MP8A0M9r/wB/v/tdezUUf2zP/n1T/wDAEHs13Z4Ro2qeN9F+K2maFr2sJdPNEwIADoFdSR2U5yin8K9oEWoeUQbuDzMjDfZzgD0xv/rXk3iL/k4/RP8Argn/AKBJXslc/ECg5UKkYqLlBN2Vle77DpdV5lRor8+Xtu4BgfPm3J3H2+fj9aXy73zXP2mHyznYvkHI9Mndz+mfarVFfPGxU8rUPKI+1weZuyG+znGPTG/+teP+MNW8Y3vxVh8N6HqyWsxtgEIUIh+QyMTwx7foK9rrxyf/AJOcs/8Argf/AEmevf4ejD21WcoqXLTk1dXV1boZVdl6i/8ACKfGH/oZ7X/v9/8Aa6P+EU+MP/Qz2v8A3+/+117NRXV/bM/+fVP/AMARPs13Z4z/AMIp8Yf+hntf+/3/ANro/wCEU+MP/Qz2v/f7/wC117NRR/bM/wDn1T/8AQezXdnjfhHwH4tsviI+t63qlnJeC2LNKN0pfI2AYwvQD17CvWGi1AtHtvLcAAbwbcnce+Pn4/WlBf8Athx5Q2fZ1/ebec7jxn+lW64sZjamLmp1LKySVlZJIqMVFWRUEWoeZITd2+wg7F+znKntk7+cfhn2pvk6l5O37bbebuzu+zHGPTG/9c1dorkKKZi1AtGReW4UAbwbcnce+Pn4/WqcUV3/AG9e/wClRbzbR4H2c4UbpNv8fJHOemeOlbFU4y/9sXAMQCfZ4sSbeWO6TIz3xxx7+9ACeTqXk7fttt5u7O77McY9Mb/1zSmLUN8ZF3bhQBvH2c/Me+Pn4/WrlFAFQRah5khN3blCDsH2c5U9snfz+lN8nUvJ2/bbbzd2d/2Y4x6Y3/rmrtFAGPDFdnWbjZdRBhFD5wNuSG+9935+O/rVwRahvkJu7cqQdg+znKntk7+f0pYS/wDal2DEFUJHh9uC33s898f1q3QBS8nUvJ2/bbbzd2d32Y4x6Y3/AK5pxi1DfGRd24QAbx9nOWPfB38frVuigCmItQ3yE3duVIOwfZz8p7Z+fn9KwPDSyp4w8VieVZJfMtdzImwf6kYwMn+ddXXM6Fn/AITTxXlQB5lrg46/uRQB01FFFABRRRQAVyPhNLk6l4jaKeNYBrMu6NoiWJ8uPo27j8q66ua8I5+0eJMqF/4nMuOMZ/dx80AbCw6kI3DXtsXONjC2IC+uRv5/ShodSMSBb22DjO5jbEg+mBv4q7RQBV8u++0hvtUHk/8APPyDu6f3t3r7UxYdSEbhr22LnGxhbEBfXI38/pV2igDF0+K9NtIILyFWFzL5jPbEhm3HoN/A/OtDyr77Tu+1QeT/AHPIO7p/e3evtSaeXMc++IR/6RJgBcZG44P4+tW6AKSw6kI3DXtsXONjC2IC+uRv5/ShodSMaBb22DjO9jbEhvTA38frV2igCr5V99p3faoPJ/ueQd3T+9u9fas/SYr37BOI7yHJuJtpa2PDea+7jfyCc49BW1VTTSxtX3xCM/aJvlC7cjzWwfxHOe+c0ANaHUjGgW9tg4zvY2xIb0wN/H60/wAu++07vtUHk/8APPyDu6f3t3r7VaqKS4hhkhjkkVXmYpGpPLEAtgfgCfwoArrDqQicNe2xc42sLYgD1yN/NQahYajfaXLZi+t0aaJ45H+zE53Ajgb+OD71qUU03F3QHgfh74f/ABK0jTnh0TW7K1tXmdyizEZYHaTyh/uitb/hFPjD/wBDPa/9/v8A7XXrWmFzYgvEIm3yfKF2/wAZ7e/WrlezPPK1STlOnBt9XBGapJbNnjP/AAinxh/6Ge1/7/f/AGuj/hFPjD/0M9r/AN/v/tdezUVP9sz/AOfVP/wBB7Nd2eH6joXxc0vS7vULjxNbmG1heeQJLk7VUscfu+uBXVfCrVdZ17wNBcXF9EZIp5It0kG4sowR0I9a6vxj/wAiPr//AGDbj/0W1cZ8Df8Aknv/AG+S/wAlq8ZWjisrnVlTipKcUnGKW6YRXLO1z0Hy7zzy32mHyucJ5JyOOOd3r7U0RagI2Bu4C5I2sLc4Hrxv5q3RXyZuVGi1AogW7gDAfMTbkg/Qb+KyvFV7qek+G9X1K2uoQbe1lkiUwZKsFODktg4PPSugrnfH3/JP9f8A+vGX/wBBNdODipYinGSunJfmTLZnkvhWz+KPiTQINQ0rxHFHZkmNElk2sNpx0CH0ra/4RT4w/wDQz2v/AH+/+110nwU/5JpZ/wDXeb/0M16FX1ePzJ0MVUpQpU7RbS9xdGYRheKd2eM/8Ip8Yf8AoZ7X/v8Af/a6P+EU+MP/AEM9r/3+/wDtdezUVyf2zP8A59U//AEV7Nd2eH6j4H+K+o6dPaX3iGzmtZUIkjaY4Ydcf6uvQPh9oOpaB4L0ywlvbZ1WJpNqwk4LkuPm3DON3oP6110ufKfAydp4xnNQacWOmWhdBGxhTKAYCnA4x2rDFZnVxFL2LjGMb391Ja2t0HGCTuRiHUvKYG9tjISNrfZjgDvxv57d6Gh1IrHtvLYED5ybYncc9vn44+tXaK84sq+Vf+e7faoPKOdqeQcj0yd/P5c+1Vb2G/GlXYlvICfLYlltiMLg5GN/WtSoL0sLG4KoHbymwpGdxx0x3oAqW8V+bO18q8gUCNd262J3f+P8cY9an8q/892+1QeUc7U+znI9Mnfz+Qz7VNbZNrCSoU7BlQMY46VLQBSEOpeSwN7bGTIw32Y4A7jG/wCnelaHUSI9t5bggfPm2J3HPb5+OPrVyigDJ1SO7Gnag011EbU28vyJAd4G0992Cfw/Kp0h1H7Nj7bb+ZkFW+zHAGOmN/05zUuplhpV4UjEjiB9qFdwY7Txjvn0qyv3BxjjpQBUaHUT5e28txgfPm2J3HPb5+OPrS+Vf+dIftcHlkHYv2c5X0yd/OPoM+1W6KAKQh1LySpvbbzNwIb7McAemN/65rnfH8V9/wAIBrRa7g2Cwk8wC3OWOD0O/jt6119c54/z/wAK+1/C7j9hl4xn+E0AdHRRRQBzfisE3/hfDAf8The/X9xNXSVzXivb9v8AC+7P/IYXGPXyJq6WgAooooAKp3gY3enlZQgE7blLY3jy34Hrzg/hVyqV75f2zTd+/d9obZtxjPlP19sZ/HFAF2iiigAooooAp3IY6hZEShVDPlC2C/y9h3xVyqV15X9pWG/f5m59mMY+7zmrtAHn/jHx1qnh0T2sugsiyoyW96lxuQkg4P3eo67f/wBdc18P/HOo22nweH7XRJNSmR2MbLNsCoTnnKnABJ5J712/jvQL7xLa2mnwSLBZI7T3Mx5PyjCqB3JyfbiuU+FehX9kbTXIJFlsr6OSG4j6GIqx2t7j5ceo3V581V9ukm7fLyPLqKv9ZSTdvltpf9D1aIyNChmRUkKgsqtuAPcA4GfyFVpgx1S0IlCqEkyhbBb7vbvj+tXKpT+X/a9lu3+Z5cuzGMY+XOf0r0D1C7RRRQAUUUUAeL+Iv+Tj9E/64J/6BJXsleN+Iv8Ak4/RP+uCf+gSV7JXoZ98OG/69r82RS+16hRRRXzxsFeOT/8AJzln/wBcD/6TPXsdeOT/APJzln/1wP8A6TPXv8P/AB4j/r1P9DKrsvVHs9FFFcJQUUUUAUwG/thz5o2/Z1Hl7uc7jzj+tXKpL5f9tv8Af837Mvpt27j+tXaACiiigAqnGG/ti4JlBT7PEBHu5B3SZOPfjn29quVSj8v+27nG/wA37NFuzjbt3SYx79f0oAu0UUUAFFFFAFSEMNUuyZVZSkeEDZK/e7ds/wBKt1Sg8r+173bv8zy4t+cYx82MfrV2gAooooAK5nQgf+E08V5YEeZa4Gen7kV01czoW3/hNfFeM7vMtc56f6kUAdNRRRQAUUUUAFc14RBFx4kywb/icy9DnH7uPiulrmfCG37R4l25/wCQzLnPr5cdAHTUUUUAFFFFAFTTwwjn3SrJm4kIIbOBuPH4elW6paZ5XlXHlb8faZd27H3txzj2q7QAUUUUAFVNNDLauHlEp+0THcG3YHmtgfgOMdsYq3VLS/K+ySeVv2/aZ878Z3ea+78M5x7UALqlzeWlg89hYi9nTnyDL5ZYexwRn2rxbxL8RLy/8QaXcf2dJYtpcxd7d5MlmyMg/KMcAjp3Ne614R4t8MahN4xsH1GdYp9cu3VUA3eQmVVMnPJAI4Hp1rKeGr4iSp0N9X9yvv8AI5MVRr1bRov8umu56h4U8Uah4mj+0tobWVjj5Z5LjJkP+yu0ZHv0rp6xvCtpf6d4dtbDUgpuLUGHejZV0U/KR/wHA59K2aqnzcq5nqb0ubkXM7sp6YGWxAeUStvk+YNuH3z39ulXKpaT5f8AZ6+Tv2eZJjfjOd7Z6e9Xas0CiiigDE8Y/wDIj6//ANg24/8ARbVxnwN/5J7/ANvkv8lrs/GP/Ij6/wD9g24/9FtXGfA3/knv/b5L/Ja9R/8AImq/44/kyP8Al4vQ9Kooor5o2Cud8ff8k/1//rxl/wDQTXRVzvj7/kn+v/8AXjL/AOgmurA/71T/AMS/MmXwsw/gp/yTSz/67zf+hmvQq89+Cn/JNLP/AK7zf+hmvQq9jN/9/rf4n+ZnT+FBRRRXnFjZc+U+Dg7TznpUGnBhploGcSMIUy4OQx2jnPeppceS+7ONpzioNM2f2VZ+Xu8vyE27uuNoxn3oAtUUUUAFQXoJsbgK4QmJsMTgLx1zU9V77Z/Z9z5m7Z5TbtvXGDnFAD7YEWsILBjsGWBznjrUtRWu37JDszt8tcZ64xUtABRRRQBV1MMdJvAkgjYwPhy2Ap2nnPbFWV+4Oc8daqar5f8AY995u7y/s8m/Z1xtOce9W0xsXHTFAC0UUUAFc54/z/wr7X8NtP2GXnOP4TXR1zfxAx/wr7X92cfYZen+6aAOkooooA5vxWSL/wAL4UH/AInC9un7iaukrmPGCSvdeGlhmETnV1w5Gf8AlhN271tNbXxSMLqAVlB3N5AO7n68UAXaKq+Rd/aGf7YPKOcR+UOOOOc0xba+ETqdQBckbX8gfL68Z5oAu1TvCwu9PAiDgzsCxXOweW/I9PT8aRra+KRhdQCso+Y+QDu5+vFQXUF5/aNo4v1ERmbERUL/AMs3x3+bB5x7Z7UAalFUltr4ROp1AFyRtfyBwO/GaGtr4rGF1AKVHzHyAd3P14oAu0VV8i7+0M/2weUc4j8occcc57UwW18IWU6gC5IIfyBwO4xmgBbksNQsgIlYFny5XJT5ex7Zq5WTc29+buwC6kqEb9+UA3nB7Z5/yat+Reee7/bR5Zztj8ocenOe1AE11/x6Tf8AXNv5Vyfwu/5ECw/35f8A0Y1b9xbXw0+4Vr8FypIbyQMDByMZrl/htDdSeBNOaC7EKhpcr5QbP7xu9Yv+KvR/oYS/jx9H+aO6qnOWGq2gEQZSkmXK5K/d79s/0pfIvPPd/to8s52p5Q+X05zziqUtrqP262H9qKDtf/lmAT93+HPP9K2NzYoqm1vfER7b8AqPm/cg7jn68UvkXnnu320eWc7U8kfL6c55xQBboqkLa+8llOoAuWBD+QOB6YzStb3x8vbfgbRh/wByDuOevXigDyPxF/ycfon/AFwT/wBAkr2SvK/HPw51/XPG9vreja3bWtyICE8xmjePacfKVByMOBn/ABqh/wAK++Kf/Q7R/wDgXN/8RXvYvDYfH0qElXjFxgotO97pvy8zKMnFvQ9jorxz/hX3xT/6HaP/AMC5v/iKP+FffFP/AKHaP/wLm/8AiK4f7Eof9BUPx/yK9o/5T2OvHJ/+TnLP/rgf/SZ6P+FffFP/AKHaP/wLm/8AiKn8L/DXxNp3j6213W9ftbq4iic7ldpZHG3Zg7gOMN1ruwOEw+AjWqPERlzQlFJXvd7dCZScrK3U9goqoLe882Rvto2MDtTyR8uenOecU37NfeSV/tAb92Q/kDgemM14JqXaKptb3pMeL8AKAHHkj5j69eKUW955sjfbhsYHYvkj5c9Oc84oAQFv7ZdfKG37Op8zbznceM1crHW21D+0HX+1Fz5Sn/VjI5P8Of1q41veloyL4AKAHHkj5j69eKALlFVBb3nmSN9uGxgdi+SPl9Oc84pv2a+8kr/aA8zdnf5A6emM0AXapxlv7ZuF8oBRbxESbeSd0nGfbj8/eg296WjIvgAoAceSPnPc9eKrRwXv9sXZOoKUaBNkewZQlnwcZ/Xvj2oA1aKpfZr7ydv9oDzN2d/kDp6YzSm3vS8ZF8AqgBx5I+c9z14zQBcoqoLe98yQm+BVgdi+SPkPbvzim/Zr7ydv9oDzN2d/kDp6YzQAsBY6rdgxKqiOPDhcFvvd++P61crKjt746pKf7RXYscW5NgJP3snGflz/AJ6VZFveh5Cb4FWB2L5I+Q9u/OKALlFUvs195O3+0B5m7O/yB09MZpTb3vmRkXwCqBvXyR83r34zQBcrmdCJ/wCE08VjaAPMtcHHX9yK2hb3oeQm+BVgdg8kfIex681g+G45o/F/ilZ7gTN5ltyBj/liO3agDqqKKKACiiigArmvCJJuPEmVC/8AE5l6DGf3cfNdLXJeFIbo6j4idbsCIaxLmPYGz+7j79qAOtoqkttfCN1bUAzHG1vIA2/hnmhra+MSKuoAOM7m8gfN6cZ4oAu0VV8i7+0h/tg8r/nn5Q9PXNMW2vhG6tqAZjja3kAbfXjPNAC6cWaOfdEseLiQABcZG48/j61crIs7a/Nu6jU1LieTLCMPn5uB14x6Vd8i7+07/tg8r/nn5Q9PXNAFqiqS218I3VtQDMcbW8gDb68Z5oa2vjEirqAVxnc3kA7vTjPFAF2qemlmtXLRLGftEw2hcZHmtg/j1z3zTvIu/tO/7YPK/wCeflD09c1T063vxZTK2pLI5mk2uIw23943HX8MdsY7UAa1ecePv+R98Ff9fR/9Djrumtr4xoq6gFcZ3N5AO704zxXAeO45l+IHg4vMGDXXyDZjZ88f516WVf7z8pf+ks3w38T5P8j0yiqS218InVtQBc42t5A+X14zzQ1tfGNFXUArDO5vIB3enGeK80wF0ws1iC0QiPmSfKFwPvnt+tXKytNgvRGHfUFkj3yfKEDfxHHzZ7f/AFqsLbXwidW1AFzja3kD5fXjPNAF2iqTW18Y4wuoBWXO5vIB3c+meKf5F39pL/bB5XOI/KHHHrmgDO8Y/wDIj6//ANg24/8ARbVxnwN/5J7/ANvkv8lrtdU0i91PQtR02TURm7geESeQPlDKVPGeeteR6R8LviDptgsOleLLS2tWJcJBcyhST34XHavZwkaNfAVMNOqoNyT1v0T7GcrqaaVz3GivHP8AhX3xT/6HaP8A8C5v/iKP+FffFP8A6HaP/wAC5v8A4iub+xKH/QVD8f8AIftH/Kex1zvj7/kn+v8A/XjL/wCgmvPv+FffFP8A6HaP/wAC5v8A4iorr4afEy9tZbW68YwzQSqUkje6mKsp6gjZWuHyjD0q0KjxUNGn16P0E6jatynVfBT/AJJpZ/8AXeb/ANDNehVx3gLwxfeG/Bdrpx1OGSQkyiSKPcg3EnAJ+8ORzXSNbXxSMLqAVlHzHyAd3P14rnzKrCrjKtSDunJtfeVBWiky7RVXyLv7Qz/bB5RziPyhxxxzmmC2vhEynUAXJGH8gcDuMZriKLUuRE+Bk7Tx61DpxJ0y0LII2MKZQDAX5RxjtUM1tfGABdQCsqnc3kj5j69eKj063vRaW7PqCyL5K8CMNk7eu7PPPPvQBp0VSFtfCFlOoAuSCH8gcDuMZoa2visYW/AKj5j5IO45+vFAF2oL0kWNwVQORE2FIyG46YpnkXfnu/20eWc7Y/KHy+nOecVWuba/GnXC/wBoqJCpIkMQXaMH3/XtQBetiTawkqFOxcqBjHHSpaz4re+NtbY1Bcqg3nyg28+uc1L5F557v9tHlnO1PKHy+nOecUAW6KpC2vvJZTqALkgh/IHA9MZoa3viI9t+BtGG/cg7jnr14oAfqZZdJvCsYkYQOQhGQx2njHfNWV+4vGOOlZuoQXv2O+YX6qhhk2AoF2HacHdnjHrUqW1/9n2nUAZCQQ/kjgemM0AXqKptb3x8vbfgbRhv3IO4569eKXyLzzpG+2jyyDtTyR8vpznnFAFuuc8f5Hw+1/Az/oMvGP8AZNawtr7ySp1AGQsCH8gcD0xmue8fQXn/AAgWtH7cAFsJN48oDfwe+eKAOuooooA5rxXt+3+F92f+QwuMevkTV0tc34rJF/4XwoP/ABOF7dP3E1dJQAUUUUAFUr3y/tmm7y+77Q3l7emfKfr7Yz+OKu1TvGIu9PAiVwZ2BYjOz92/I9PT8aALbMFUsc4AzwMn8qq2GqWep+d9km8wwP5cqlSpRvQggEGp7iZLa2lnk+5EhdsegGa5bQ1/snxHq0Nxw8tpa3TY53Phkcj1JZR+dRKTUkjqo0I1KU5dVa3nqk/zOhvNVsrG4gt7ibE8+fKiVGdnx1wFBNXK5a0ia88fSyy4JsLIBu+ySZs4H0RB+ZPeugtL+3vnnSBmLQOEkDIylSVDDqB2YH8aIyve4V6CpqKjduyb7a7fhb7yO68r+0rDeX8zc+zGMfd5zV2qdyxGoWIESsCz5cjlPlPQ9s1cqzlIrr/j0m/65t/KuT+F3/IgWH+/L/6MausuQTazADJKHAH0ry7wL480DQvCVrp9/dSR3MbSFlELNjLkjkD0NYVJxjVTk7aP9DmqzjCtFydtH+h6tVKfyv7XstxfzPLl2Y6Y+XOf0rmf+Fp+E/8An+l/8B3/AMKry/FDwub+3cXLMiq4ZzbvuUnGMcd8H8qr29L+ZfeV9Zo/zr7zu6K4z/hafhP/AJ/pf/Ad/wDCj/hafhP/AJ/pf/Ad/wDCj29L+ZfeH1mj/OvvOzoqrpupWur6dDf2UnmW0wyjYIzzjofcGrVaJpq6Nk01dFKXy/7btcl/N+zTbcfd27os59/u/rV2qcjH+2bZfKUg28xMmOV+aPjPvn9BVymMKKKKACqTeV/baff837M3pt27h+tXaplj/bKL5S4+zsfMxz94cZoAuUUUUAFFFFAFJfL/ALbf7/m/Zl9Nu3cf1q7VMMf7ZdfKXH2dT5mOfvHjNXKACiiigAqlH5f9t3OC/m/Zot2fu7d0mMe/X9Ku1TjY/wBs3C+UoAt4j5mOT80nGfb+tAFyiiigAooooApQeV/a95tL+Z5cW/OMY+bGP1q7VOBidVu1MSqBHHhwOW+939v61coAKKKKACuZ0Lb/AMJr4rxnd5lrnPT/AFIrpq5nQif+E08VjaABJa846/uRQB01FFFABRRRQAVzPhDb9o8S7c/8hmXOfXy466aua8Ikm48SZUL/AMTmXoOv7uPmgDpaKKKACiiigClpvleVceUXx9pl3bsfe3HOPalv9VstLEZvZvJWRgquUYrk9ASBgfjRpzFo58xLHi4kGAMZ+Y8/jWH41tzf6NfW68+RZS3PHUOB8n8n/KoqScYto6MJShVrRhPRPc6gkAZJwBVPT9Us9UjaSymM0akjzAjBSQcHBIweQelZuq6uq+HJr5SPLSz+0yehyuVT8T+n1FLpXkeGfCVhHeM6CGBfNYIzfOeWJwD/ABE0uf3rdC1hrUuZp8zdkvz/AE+83apaX5X2STyi+37TPnfjO7zX3fhnOPartU9NYtauTEsZ+0Tjaoxn963P49fxrQ5C5XnHj7/kffBX/X0f/Q469HrzD4n3kWmeKvCWoXAf7PbzvI5UZOA0ZOPevTyhOWKSW7Uv/SWdGGV6lvX8j0+iuC/4W/4W/vXv/fj/AOvR/wALf8Lf3r3/AL8f/XrP+ysb/wA+n9xP1er/ACs7DSfK/s9fJLlPMkxv653tn9au151ZfFvwzFbBJFuUbcx2xwccsSO9WP8Ahb/hb+9e/wDfj/69H9lY3/n0/uD6vV/lZ3tFcfpHxL8O6zqkGn20lys852p5kWAT6ZzXYVzVsPVoS5asXF+ZnOEoO0lYKpaR5X9k23klzHs+XfjP44q7VPSmLaXbloliJX7ijAH4ViSXKKKKACiiigClo/lf2LY+SXMX2dNm/G7G0YzjvV2qeksW0eyZoliJgQmNRgL8o4A7VcoAKKKKAGS48l92cbTnFQaZs/sqz8vd5fkJt3dcbRjPvU8vET4GflPHrUOnEtploSgjJhQlAMBflHGKALNFFFABVe+2f2fc+Zu2eU27b1xg5xVioL0kWFwQgciJvlIyG4PFADrXb9kh2Z2+WuM9cYqWorYk2sJKhTsX5QMY46VLQAUUUUAU9V8v+x77zd3l/Z5N+zrjac496tpjYuOmKq6oxXSbxhGJCIHIRhkN8p4I96tL9xeMcdKAFooooAK5v4gY/wCFfa/uzj7DL0/3TXSVznj84+H2v/Ln/QZeD/umgDo6KKKAOb8V5+3+GMNj/icLnnGf3E1dJXNeK9v2/wAL7s/8hhcY9fImrpaACiiigAqpdhzdWGyUIonO9S2N48t+Md+cHHtntVuqV75f2zTd5YN9obZtHBPlP19sZ/HFACaraXd9a+Ra3UVuGI8wyQGTcuQccMuM8g+xqGTRlk1pNVab/SEtvIC7fkJ3bgxGcnBJwM961KKlxTd2axrzjHli+/bruZGkaRc6dfajdXF5FcPeyiVisBjK4UKFzuPAA/WotGcnWdcYw3CLNcpJG0kDoGUQxqSCQB1BH4VuUUuRK1i3iJS5nPVtJdtrf5IqXIf7fZFZQqBn3Juxu+XjjvVuqV15f9pWG4tv3PsAHB+XnNXas5wphijJyY1/Kn0UAM8mP/nmn/fIqpNCP7UtCpjVNkm5Mgbvu4474/rV6qU/l/2vZbi3meXLsAHGPlzn9KAsWvJj/wCeaf8AfIqlrEUY0O//AHa/8e0nb/ZNaFUtZ/5Aeof9e0n/AKCamWzJkvdZh/Dj/kQNK/3H/wDRjV1Nct8OP+RA0r/cf/0Y1dTU0f4cfREYf+FH0X5FSQP/AGvbESgR+RLuj3csd0eDjvjnntn3q3VKXy/7btSS3m/ZptoA+Xbuizn36frV2tDUKKKKACqhD/2uh80eX5Dfu93Odw5x/WrdUm8v+205bzfszcY+XbuH60AXaKKKACiiigCoA/8Aa7nzR5fkL+73c53HnH9at1SXy/7bc5bzfsy8Y+XbuP61doAKKKKACqkYf+2LgmUGPyIsR7uQd0mTjtnjnvj2q3VKPy/7buSC3m/Zotwx8u3dJjHv1/SgC7RRRQAUUUUAVIQ/9qXZaUMhSPam7O372eO2f6VbqlB5f9r3m0v5nlxbwRxj5sY/WrtABRRRQAVzWh7v+E08VZbI8y1wM9P3Irpa5nQtv/Ca+K8Z3eZa5z0/1IoA6aiiigAooooAK5rwju+0eJNzbv8Aicy45zgeXHxXS1zPhDb9o8S7c/8AIZlzn18uOgDpqKKKACiiigCpp4cRz+ZKJD58mCG3YG44Htj0qsmm3T3F815dwzRXUQiCJblCijPGS5z95u3ep9M8vyrjyi5H2mXduH8W45x7VdpNJ7lwqShfl6nN3XheWXw3baJBfokEaxCV5YC7S7Cp5wwwDtA+nFWfE4lbwzcwiOSed0CgQQs245GcAZIFbdFT7NWaRusXU54ynrZ36b6X/JDY3EsYdQwB6blKn8jzVbTg4tX8yUSN582GDbsDzGwM+wwMdsYq3VLS/LFpJ5RYr9pnzuGDu818/hnOParOUu1HLBDOoWaJJFByA6gj9akooTtsBW/s6x/58rf/AL9L/hR/Z1j/AM+Vv/36X/CrNFVzy7juzK03TbQWI8y3tpW3yfMEVv4zjn2HFXP7Osf+fK3/AO/S/wCFR6T5Y09fKLFPMkwWGDne2f1q7Rzy7hdnmniu3ht/ij4SEMMcYJOQigZ59q9Lrznxj/yVLwj9W/nXo1ehjm3RoX/lf/pTNq3wQ9P1YVU0sONMtxJKJX28uG3Z/HvVuqWkeWNJtvJLGPZ8pcYP415pgXaKKKACiiigCppQcaRZiWUSyCBN0gbcGO0ZOe/1q3VLR/LGi2PklzF9nTYXGDjaMZ96u0AFFFFADZM+U+Dg7Tg5xioNPDDTbUO4kfyU3OG3bjgc57/WppceS+7ONpzioNM2f2VZ+WWMfkJtLDBxtGM0AWqKKKACoLzcbG4COEby2wxOMHHXPap6r32z+z7nzCQnlNu29cYPSgB9vn7LFubc2wZbOcnHXNS1Fa7fskOzO3y1xnrjFS0AFFFFAFXUw50q8EcgjfyH2uW2hTtODnt9asr9wZOTiqmq+WdHvvNLCP7PJvKjJxtOce9W0xsXHTFAC0UUUAFc54/z/wAK+1/BwfsMvOcfwmujrm/iBj/hX2v7s4+wy9P900AdJRRRQBy/jFHe68MrG5jY6wmHCglf3E3PPFbbWl2UjUalMrKDuYRp83P0rI8Vbvt/hja2P+JwuecZHkTV0lAFX7NcfaGk+3S+Wc4i2JgceuM+9MW0uxE6nUpixIw/lplfwxjmrtFAFJrS7KRgalMpUfMwjT5ufp/Kq15BcLqdi/2l3jedgFMa4j/dPyDjPtz61rVUu/M+1WGyQKvnHeu7G8eW/GO/ODj2z2oAaLS7ETKdSmLkgh/LTK+2MY5oa0uysYGpTKVGGIjT5ufp/KrtFAFX7Nc/aGk+3y+Wc4j2JheOOcZ4pgtLsRMp1KYuSCH8tMj2xjFXaKAMe7trr7dpyi9kJy4aTykJ6E56celXvs1z57v9vl2HOI/LTC56c4zxSXAk+32ZWQKm5967sbvl4471boApC0uxCyHUpi5IIfy0yB6YxihrS7IjA1KZSowxEafNz16cenFXaKAKn2a5893+3y7DnEflphc9OcZ4qjNbXa6haxm+kZmWQiYxJlANvA4xznv6Vs1Um8z+07XbIBHsk3JuxuPy44745+maAEa0uiI8ajKu0YYiNPn569OPwqpq9tcDTNSkN9I0ZtpcRbEwPlOOcZ4rXqlrP/ID1D/r2k/9BNKWzJl8LOa+H1vcSeANN2Xske4MVwiHaN7ccjv15rpmtLo+XjUZV2jDfu0+fnr04/CsL4cf8iBpX+4//oxq6moo/wAOPoiMP/Cj6L8jJkguRr0P+lOVe3nKny1/d/NHgA4988/3RVkWl35JT+0pi5YEP5aZA9MYxTpPM/te2IkAi8iXcm77x3R4OO+Oee2ferdaGpTa0uj5eNRlXaMN+7T5+evTj8KX7Lc+dI/2+XYwO1PLTC56c4zx71booApC0u/JKf2lNvLZD+WmQPTGMVUe3ujrMCi8kG22O6Tyky3zDjpxn+lbFVCJP7XQ+YPK8hv3e7vuHOP60AAtbnzZG/tCXawO1PLTCZ6dsnHvTfsl35JT+0pt+7O/y0yB6YxirtFAFNrW6JjI1GUBQAw8tPnPr04/ClFrc+bI39oS7WB2p5aYTPTtzj3q3RQBjLbXf9pyRfbpN/kq3n+Um7G5vl6Yx39auta3RaMjUZQFADDy0+c+vTj8KUeZ/a7/ALweV5C/Ju77jzj+tW6AKgtbnzJG/tCXawO1fLTCZ6duce9N+yXfk7P7Sm37s7/LTOPTGMVdooApm1ui0ZGoygKAGHlp859enH4VUit7n+3Lwfa5MG2jKt5acZaTAzjnbj9ea16qR+Z/a9wTIDF5EW1N3Q7nycds8c98e1ADfsl35Oz+0pt+7O/y0zj0xjFKbW6LxkahKAoAYeWnznuenGfarlFAFQWt0JJGOoSlWBCr5afJnoRxzj3pv2S78nZ/aU2/dnf5aZx6YxirtFAGRFb3TaxOBdyIEji3MI0/e/ezk4/l61bFrdB5CdQlIYEKvlp8noenOPelhEn9p3RaQGPZHtTdnafmzx2zx9cVboApfZLvydn9pTb92d/lpnHpjGKcbW6LxsNQlCqAGXy0+fHXtxn2q3RQBTFrdB5CdQlIYEKPLT5PQ9Oce9YHhtJIvGHipJZTKwktf3jKAW/cj04rq65rQ93/AAmnirLZXzLXAz0/cigDpaKKKACiiigArkvCcM76l4jkW5eOMazKDEEXDfu4+ckZrra5rwju+0eJNzbv+JzLjnOB5cfFAGwtpdiN1OpTMzY2sY0+X9KGtLsxIo1KZWXO5/LTLenbtV2igCr9muPtIk+3S+X/AM8tiY6euM+9MW0uxG6nUpmZsbW8tPl/SrtFAGNYW13JbSKt7JCy3EoZliT9583U5H8qv/Zrj7T5n26Xy/8AnlsTHT1xn3pLASCObzJA58+TaQ27A3HA9selW6AKS2l2I3U6lMzNja3lp8v6UNaXZjRRqUysudzeWnzfpV2igCr9muPtPmfbpfL/AOeWxMdPXGfeqGl212bGYG9kRjcTBSIkGMStk4x/F1/GtmqmnCQWz+bIJG8+bBDbsDzGwM+wwMdsYoAa1pdmNFGpTKy53N5afN+lP+zXH2nzPt0vl/8APLYmOnrjPvVqigCktpdiJ1OpTMzY2v5aZX9KGtLsxoo1KZWXO5hGnzfpV2igDJ0uC5eES/anijLyfuFjUAfMw6kZ96sraXYidTqUzM2Nr+WmV/TvTtN8wWQ82QSPvf5g27jecc/TirdAHmPi+CYfEjwlGbt2l+YeaUXI+b0xivRPs1x9pMn26XyznEWxMDj1xn3rg/GP/JUvCP1b+dejV6WN/gUP8L/9KZvV+CHp+rKS2l2InU6lMWJGH8tMr+neqmm213JpFptvZICE+YLEnPPoRxWxVTTBINNgEsgkk2/M4bdn8e9eaYC/Zrj7QZPt0vlnOItiYHHrjPvTFtLsROp1KYsSMP5aZX9O9XaKAKTWl2UjA1KZSoO5hGnzc/Sn/Zrn7Q0n26XyznEexMDj1xn3q1RQBjaRbXbaFa5vZI2eGMqBEg8v5fugY/n6Vca0uykYGpTKVHzMI0+bn6cfhTtLEg0mzE0gll8lN7ht244GTnv9at0AVfs1z9oaT7dL5ZziPYmBx64zxTBaXYiZTqUxckEP5aZX2xjFXaKAKE9pdm3AGoy5VDu/dod/14/DiotNt7lrO2l+1vGjQKRAI1Cpleg4zx7ntWlJnynwcHacH0qDT9/9m2vmPvfyU3OG3bjgZOe/1oAjFpdiJlOpTFyQQ/lpkD0xjH/6qGtLsrGBqUylRhiI0+bnr049OKu0UAVfs1z57v8Ab5dhziPYmFz05xniqt5a3a6XdA38sjbCQTEnQA/LjHetSobzd9iuNjbH8ttrZxg4657UAVILW6a0tcX8seIxuAjTn8xx6fhU32a5893+3y7GziPy0wuenOM8VPb7vs0W5tzbBk5zk49akoApC0uxCyHUpi5IIfy0yB6Yxj/9VK1pdER41KVdow2I0+fnr04/CrlFAGVqcFymn6hL9reVPIlKwGNdv3TgdMmp0tLv7PtOpTbyQQ/lJkDHTGMf/qqTUvM/su78qQRyeS+1y23adpwc9vrVlc7Rk5OKAKjWl0fLxqMq7Rhv3afPz16cfhS/ZrnzpH+3y7GB2p5aYXPTnGePerdFAFIWl35JT+0pi5YEP5aZA9MYxXPeP7a5HgHWm+3SMEsJN6mNMScHrxx+FddXOeP8/wDCv9f2nB+wy85x/CaAOjooooA5rxXt+3+F9xP/ACGFxj18iaulrm/FZxf+F/lB/wCJwv4fuJq6SgAooooAKpXojN5pu8sGFw2wAcE+U/X2xn9Ku1TvW23mnDylfdOw3HPyfun5H8vxoAuUUUUAFFFFAFK6Ef8AaVgWLB9z7ABwfl5zV2qd02NRsV8pWyz/ADnOV+U9KuUAFFFFABVKcR/2vZFiwk8uXaAOCPlzn9Ku1TnbGrWa+UrZjl+c5yv3f5/0oAuVT1ZWfRr5EUszW8gAA5J2mrlFJq6sJq6seW+EPH2kaJ4VsdOvIr0XECsH2QEjlyeufQ1uf8LT8Pf889Q/8Bj/AI121FYxp1IpRUtvL/gnPClVjFRU1p5f8E4B/iX4dbUYLnZqOY4ZIwPs3B3FD6/7NWf+Fp+Hv+eeof8AgMf8a6qVsa1ar5anNvMfM5yuGj49Oc/pVyny1f5l93/BK5K38y+7/gnEH4qeHgCTHqAA6k23/wBeut03ULfVdOgv7Ri0E6B0JGDj6VV8S/8AIq6x/wBeU3/oBqj4D/5EbSP+uH9TRFzU+WTvoKEqiqcknfS+1joqpMI/7bQ5bzfszcY4xuHf1q7VNm/4nSL5S/8AHux8znP3hxWx0FyiiigAooooApAR/wBtuct5v2ZeMcY3Hv61dqmG/wCJ06+Wv/Hup8znP3jx6VcoAKKKKACqUYj/ALbuSC3m/Zotwxxt3SY59ev6VdqnG3/E6uV8pRi3iPmc5PzScenGP1oAuUUUUAFFFFAFKAR/2veFSxk8uLeCOAPmxj9au1TgbOrXi+Uq4ji+cZy33v5f1q5QAUUUUAFczoW3/hNfFeCd3mWuf+/Irpq5nQjnxr4rG0DElrz6/uRQB01FFFABRRRQAVzPhDb9o8S7Sf8AkMy5z6+XHXTVzPhA5uPEvyhf+JzL07/u4+aAOmooooAKKKKAKWmCMRXHlFiPtMu7cMfNuOfwq7VPTW3RT/uljxcSjAzz8x5/GrlABRRRQAVS0sRi0k8osV+0z5LDBz5r5/DOce1Xap6Y2+0c+Usf+kTjauecSuM8+vX8aALlFFFABRRRQBS0kRjT18osU8yTBYYOd7Z/WrtU9KbfYKfKWP8AeSfKucffb1/OrlAHlvxH1CPRvHPhrVLmOVraAMzeWuScHoM4GeR3q7/wufw3/wA+mqf9+k/+Lr0QgHqAfrSbF/uj8q9NYzDypQhWpNuKtdSt1b7PudHtYOKUo3t5nnn/AAufw3/z6ap/36T/AOLqCy+L3hqzs4rcW2qMI1xkwx8/+P16VsX+6PyqnpQV9Lt28hI8p9xRwPzpe3wP/Pl/+B//AGouej/J+P8AwDiP+Fz+G/8An01T/v0n/wAXWjoXxO0LxBq8OmW0V7FPNnYZo1CkgE4yGPYGuy2L/dH5V514iAHxm8M4AH+jt0/7aVtQjg8RzQjTcWot35r7K+1i4KlO6UbaPr/wD0eiiivHOUpaOIxotiISzRfZ02FxgkbRjI9au1T0ht+jWLeUsWYEPlrnC/KOBmrlABRRRQAyXHkvuzjac4qDTNg0qzEZYx+Qm0sMEjaMZqeU4hc4z8p49ag01t2l2jbBHmFDsHRflHHNAFqiiigAqvfbDp9z5hITym3EDJxg1YqC+O2wuTsD4iY7T0PB4oAda7fskO0kr5a4J64xUtRWxzaQnaFyi/KO3HSpaACiiigCnqojOj3wlLCP7PJuKjJA2nOPeraY2LjpiquqNt0i9byxJiBzsbOG+U8HFWl+4vGOOlAC0UUUAFc38QMf8K+1/dnH2GXp/u10lc58QDj4fa/xn/QZeP8AgJoA6OiiigDm/FW77f4Y2nH/ABOFzz1HkTV0lcv4xj8268MoJpISdYXDxgEg+RN6gj9K22sZ2SNRql4pUHLBYstz3+T+WKALtFVfsk32hpft9ztOf3WI9o4/3c+/WmLYziJ0OqXhLEEORFlcenyY59xQBdqpd+b9qsPLk2r5x8wbsbh5b8Y784OPbPamtYzskajU7tSowWAiy/Pf5Pw4xVa7tSNTspJL+5+aZhFHtQqreU/+zngZ6k0Aa1FUlsZxE6HVLwsxBDkRZXHYfJjn3HahrGdljA1O7UqMEhYsvz1PyfhxigC7RVX7JN9oaT+0Lna2cRYj2rkdvlzx9aYLGcQsh1S8LEghyIsr7D5Mc/TtQA64837dZ7JAse5967sbvl4471brHu7Jje6eraldiVS4VgkZLHBJJ+XA446f41d+yTee8n9oXO1s4jxHtXPp8uePc/nQBboqkLGcQsn9qXhYkEORFkew+TH6dqGsZ2EYGp3a7BgkCL5+ep+T8OMUAXaqTeb/AGna7ZMR7JN67sbj8uOO+OaPsk3nvJ/aFztbOI8R7Vz6fLnj3P51QmsHGo2qNqt6ZikhRtkWQPlz/Bj07H8KANqiqbWU7CMDU7tdgwSBF8/PU/J+HGKX7HN57yf2hdbWziPEe1c+nyZ49yffNAFuiqQsZxCyf2peFiwO/EW4e33MY/Claynby8andrsGDgRfPz1PyfhxigBZPN/ta3xJiLyJdyburbo8HHfA3c9s+9W6yZLQjXYmN/deY9vPsTbHtRd0ecHb2JXGc9PrmyLGcQmP+1LwsWB8zEW4e33MY/CgCDxL/wAirrH/AF5Tf+gGqPgP/kRtI/64f1NP8S2c3/CMakf7RusR2M24YjxJ8jH5vk/DjFUvAlpKfBmlyC/uQrW5AjAj2rknkfLnj3JrH/l98v1MH/HXp+qOsqofN/tZP3g8ryGym7+LcOcfTvTRYz+SY/7UvCxYHzMRbh7fcxj8KqvZk6xAP7Su1mS2OcLH843DOTt+nQdvz2NzXoqoLObzZH/tG6w4OExHhM+nyZ47ZJ98037DP5Jj/tS83Fs+ZiLcPb7mMfhQBdoqm1lOTGRqV2NgAIAj+f3PyfyxSizmEsj/ANo3RDggJiPCZ9Pkzx2zn3zQADzf7Xf95+68hcJu/i3HnH071brFWwf+1HT+1b3z/JU79kWdu5uPuY6+341eaymLRkaldjYACAI/n9z8n8sUAXKKqCzmEkj/ANo3RDggJiPCZ9Pkzx7598037DP5Pl/2pebt2fMxFux6fcxj8KALtVI/N/te4zJmLyItqbujbnycdsjHPfHtSGymLRkaldAIACAI8Pjufk7+2Kqx2h/tu8I1C681rdMrtjwilpNuDt7HPX8c9gDWoql9hn8ny/7UvN27d5mIt2PT7mMfhSmymLxsNSugEABUCPD47n5O/tigC5RVQWcwkkb+0bohwQFxHhM9x8nb3zTfsM/k+X/al5u3bvMxFuxjp9zGPwoAdD5v9p3W6QGPZHsTdnafmzx2zx+VW6yIrMnV5ymo3YkSOLzBtjw/3sZO3vz0xVsWUweRv7SuiHBAUiPCZ7j5O3vmgC5RVL7DP5Pl/wBqXm7du8zEW7Hp9zGPwpTZzGSNv7RugEABXEeHx3Pyd/bFAFyua0Pd/wAJn4qy2V8y1wM9P3IrZFlMHkb+0rohwQFIjwme4+Tt75rA8NxeT4w8VI1xLO4ktdzyBQf9SP7oA/SgDq6KKKACiiigArmvCO77R4k3Nn/icy45zgeXHXS1yXhO2ZtR8RypeTqg1mXdEAm0ny4/VSf1FAHW0VSWxnWN1OqXjFsYYiLK/T5MfnmhrGdokQapeKVzlwIstn1+THHtigC7RVX7JN9pEv2+52/88sR7en+7n360xbGdY3Q6peMWxhyIsr9Pkx+eaAHWHm+XN5sgc+fJtO7dhdxwPw9Kt1jWNkz28iw6neLtuJd7BIwWbdznKkflir/2Sb7T5v2+52/88sR7emP7uffrQBaoqktjOsbodUvGLYw5EWV+nyY/PNDWM7RIg1S8UrnLgRZbPr8mOPbFAF2qmneb9mfzZA7efNght3y+Y20Z9hgY7YxS/ZJvtPm/b7nb/wA8sR7en+7n361R0yyb7DMsWp3hDTy/MUjBVhK27Hy9znr+GOlAGxRVJrGdo0QapeKVzlwIst9fkx+WKf8AZJvtPm/b7nb/AM8sR7emP7uffrQBaoqktjOsTodUvGLYw5EWVx6fJjn3zQ1jO0aKNUvFK5ywEWW+vyY/LFADtN837EPOk3vvfLbt3G845+mKt1kaXaHyBLDqF0Yd8mIisYXO5gf4c9eev+FWlsZ1idDql4xbGHIiyuPT5Mc++aALtFUmsZ2jjUapeKVzlgIstz3+TH5Yp/2Sb7SZft9ztOf3WI9o4/3c+/WgC1VTTPN/s2DzpBJJt+Zg27P496atjOInQ6peMWIw5EWVx6fJjn3FVNOsmfSbQW+p3iRqhwwWMFue4Kn9KANivOfEf/JZvDP/AF7t/wC1K7z7JN9oMv2+52nP7rEe0cf7uffrXnHiC0lX4veHIjf3Lu1uxErCPcv+s6YXH5g16WWfxJ/4J/8ApLN8P8T9H+R6jRVJrGdkjUapeKVBywWLLc9/k/lin/ZJvtDS/wBoXO05xFiPaOO3y5469a80wE0vzf7Js/OkEkvkpvcNu3HAyc9/rVusfSbJv7DtVg1O88toYzGxSMFVx0A2n9c9OtW2sZ2SNRqd2pUYLARZfnv8n4cYoAu0VV+yTfaGl+33O05xFiPaMjt8uePrTBYziJkOqXhLEEORFlfYfJjn6dqALcmfKfacHacGodP3/wBm2vmvvk8lNzbt2TgZOe/1qCexma3AOp3ahFIYhYsv9fk/DjFRaZZuLK1kj1G7aEwKERljAA28H7uffqfxoA1KKpCxnELJ/al4WJBDkRZHsPkxz9O1DWM7LGBqd2pQYJAi+fnqfk/DjFAF2obzf9in8ttr+W21s4wccHPao/sk3nvJ/aFztbOI8R7Vz6fLnj3P51Vu7GRdMukl1O8ZShLOVjLAAHIGEA5/p1FAGhb7vs0W9tzbBk5zk49akrOhspWtLby9Tu1VYwOFj+f65Q/Tipvsk3nvJ/aFztbOI8R7Vz6fLnj3J/GgC3RVIWM4hZP7UvCxIIciLcPb7mMfh2oaxnYR41O7XYMHAi+fnqfk/DjFAD9S8z+y7vyX2S+S+x923adpwc9vrVlc7RnrisvU7RhYX8s2oXRgaCXdHtjIUFT0+UE47c1OljMLfYNUvCSQQ+2LcBjp9zGPw7UAXqKptZTt5eNTu12DBwIvn56n5Pw4xS/Y5vOkf+0LrawOI8R7Uz6fJnjtkn3zQBbrnPH+f+Ff6/tOD9hl5zj+E1rCxnEJj/tS8LFgfMxFuHt9zGPwrnvH9nIPAOtM2oXRVLCQMu2PEnB6/L/LFAHXUUUUAc34rOL/AML/AC5/4nC/h+4mrpK5vxVu+3+GNpx/xOFzz28iaukoAKKKKACqV6wW804GMOWnYBjn5P3TnI/LH41dqpd+b9qsfLfannHzBuxuXy349+cHHtntQBbooooAKKKKAKV0wGo2KmIMWZ8Oc5X5T0q7VW4837dZ7HxHufzF3Y3fLxx35q1QAUUUUAFUp2A1azXywxMcuH5yv3f5/wBKu1Um83+0rXa+Itkm9d2Mn5ccd+9AFuiiigAooooApysBrVqnlgk28x8znK4aPj05z+lXKqyeb/a1vh8Q+RLuTd1bdHg474G7ntn3q1QBl+Jf+RV1j/rym/8AQDVHwH/yI2kf9cP6mtDxBG83hrVYokZ5Hs5lVVGSxKHAFcL4Z8dWujeG7DTrnRtaaa3j2OY7UFScnplhXPOahVTl2OWpOMKycnbT9T0yqbMP7aRfLGfs7HzOc/eHHpXK/wDCzdO/6Auu/wDgIP8A4qq5+JVp/aKv/ZOueT5RBj+yjJbI5xu9Kr29PuX9ZpfzHfUVxP8Aws3Tv+gLrv8A4CD/AOKpr/FDTI0Z5NH1xEUZLNaqAB/31R7en3D6zS/mO4oqtp97DqWnW19b7vJuI1lTcMHBGRmrNbJ31Nk7q6KQYf206eWM/Z1Pmc5+8eKu1VHm/wBrP8/7nyFwm7+LcecfTvVqgYUUUUAFUo2B1q5TywCLeI+Zzk5aTj04x+tXaqJ5v9rT5fMPkR7U3dG3Pk47ZG3nvj2oAt0UUUAFFFFAFKBgdWvF8oKRHFl+ct97+X9au1Vh83+0rrc+Ytkexd2cH5s8du1WqACiiigArmdCIPjXxWNoGJLXn1/ciumrmtD3/wDCZ+KsnK+Za7Rnp+5FAHS0UUUAFFFFABXM+EDm48S/KFxrMv4/u4+a6aua8I7vtHiTcc/8TiXHOcDy46AOlooooAKKKKAKWmsGinxEI8XEowM8/MeefWrtVbDzfLm859x8+Tb82cLuOB+XarVABRXO+K/GNh4RhtnvIbiZrlisaQKCeMZzkj1Fc1/wuLSv+gPqv/ftf/iq7aOXYqtBVKcG0zWNCpNXitD0eqelsHtHIjEf+kTjaM84lcZ59ev41wn/AAuLSv8AoD6r/wB+1/8AiqgtPi9p8ULLNpmqSOZZGB2KcKXJUfe7AgfhWv8AZGN/59v8Cvq1X+U9Oorzj/hcWlf9AfVf+/a//FUf8Li0r/oD6r/37X/4qj+yMb/z7f4B9Wq/yno9Fecf8Li0r/oD6r/37X/4qj/hcWlf9AfVf+/a/wDxVH9kY3/n2/wD6tV/lO60pg9grCMRjzJPlGf77ev51drzGz+L2nxWwSfTNUkk3MS2xTwWJA+92GBU/wDwuLSv+gPqv/ftf/iqP7Ixv/Pt/gH1ar/Kej0V5x/wuLSv+gPqv/ftf/iqP+FxaV/0B9V/79r/APFUf2Rjf+fb/APq1X+U9HqnpLB9Kt2EYiBT7gzgfnXCf8Li0r/oD6r/AN+1/wDiqgsvi9p8VnEk+mapJKowz7FOT/31R/ZGN/59v8A+rVf5T06vOfEf/JZvDP8A17t/7UpP+FxaV/0B9V/79r/8VWCfFMXiT4naJqlrp2oJDaxMkimAu3R+QFzx8wrrweAxOHc6lWNlyS1+TNaVGcLykrKz/I9loqpY6jHf7/Lhuo9mM+fbvFnPpuAzSXupRWDIJILuQuCR5Fs8uPrtBxXg8ytc4eZWvcTSGD6NYsIhEDAhEa5wvyjjmln1Wytr+Cxnm8u4nJESsjAOQMkA4wfzqp4f1L7dpturx3QmSBDI88DoHOOSGYAH8KwfGF0kF5a3rRzOtjfW2CkTME+b95yBxlZExnqRgVE58seZHVhKcK0+WT0f57L8bHYXFxDaW0lxcSLHDGpZ3boAKZZXsGoWy3FszPC/KsUZdwxnIyBkc9elcj4o1ddW0eaxt4ruI3LpaRma2eMO8jhDywA+VSxx6/Sumn1Kx0uJo3Zlitox5hSNmWJccFiBwMD8Bz0oVROT7FLDp0Yzjdybe3ZW/O5dlOIXOM/KePWoNNYNpdmwQIDAhCDovyjjmp3O6FmRhyuVIPHSorDzP7OtfNbfJ5Sb23bsnAyc960OUsUUUUAFQXxC2FyxQOBEx2noeDxU9Q3e/wCxT+W22Ty22nOMHHHPagBbU5tISFC5RflHbjpUtR2+77NFvOX2Dcc5ycVJQAUUUUAVNVYJpF6xjEgEEhKHOG+U8cVaT7i8Y46VX1Hzf7Lu/JfZL5L7G3bcNtODnt9asLnaM9cUALRRRQAVzfxAOPh9r5xn/QZeP+AmukrnPH+7/hX+v7Tg/YZec/7JoA6OiiigDmvFe37f4XySP+JwuPr5E1dLXN+KyBf+F8rn/icL+H7iaukoAKKKKACqV6IzeaaXchhcMUAGdx8p+D6cZP4Vdqlesq3mnAxhi1wwDEn5D5TnI/LH40AXaKKKACiiigCldCM6lYFnYOGfYAMg/Lzk9qu1SumUajYKYwxZnwxJ+X5TV2gAooooAKpTiM6vZFnIkEcu1QOD93PPbtV2qU7KNWs1MYLGOXD5OV+7/P8ApQBdooooAKKKKAKUoj/tu1JciQW0wVccEbosnP5fn7VdqlKyjW7VPLBY20xD5OVAaLj05yPyq7QAUUUUAFUmEf8AbaHc3mfZmG3HGNw5zV2qTMv9tonljd9nY+Zk5xuXj0oAu1i+MP8AkTNZ/wCvOX/0E1tVi+MP+RM1n/rzl/8AQTUVPgZFX4JegeD/APkTNG/684v/AEEVtVi+D/8AkTNG/wCvOL/0EVtUU/gXoFL4I+hSUR/2253nzPsyjbjjG485q7VIMv8Abbp5Y3fZlO/JzjcePSrtWWFFFFABVKMR/wBt3JDnzDbRBlxwBukwc/n+VXapRsp1u5TywGFtETJk5ILScenGD+dAF2iiigAooooApQCMavelXYyGOLcpHA+9jn86u1SgZTq14ojCsI4svk5b738qu0AFFFFABXM6EF/4TXxWQSW8y1yMdP3Irpq5nQiD418VjaARJa5Pr+5FAHTUUUUAFFFFABXM+EAouPEu0k/8TmXOR38uOumrmfCBBuPEuFAxrMo+v7uPmgDpqKKKACiiigClpgjEVx5bsw+0yk5GMHccirtUtNZWiuNsYjxcyggE8nceefWrtAHnHxM/5GDwb/2EP/Z469Hrzj4mf8jB4N/7CH/s8dej16WK/wB0w/pL/wBKZvU/hw+f5hVLSxGtpIImZl+0zkkjHPmvkfgcirtUtLZXtJCsYjH2icYBPJErgnn16/jXmmBdooooAKKKKAKWkiNdPUROWTzJOSMH77Z/WrtUtKZX09WWMRjzJPlBP99vX86u0AFFFFABVLSBGuk2widnjCcMwwT+FXapaSyvpVsyxiNSnCAnA/OgC7RRRQAUUUUAUNKVRoVktvJlfsyCN3Tr8owSM/pmqU2gz32jXun398kjXUvmedDB5ZX5gRwWbOMAD6DrV/SGV9FsWWMRK1uhCAkhRtHHPNXalxT3NadadPWGmqfToc/qOlPdatpccd/BElmzXMVs8BcyEDYWLbx0L56dT3qLxDc2++fTzZXwW6iC3Vxa2MkhdORsDKpGcZGSeAfy0Zo5D4qs5QjeWLKdS+OAS8OBn14P5VqVHJe6RpSxcuZOeqjt08+2uvcgRVWwVdhiQRY2f3Bjp+FM0wINKsxGxZBAm1iMEjaMHFTynELkjPynj1qDTGDaVZsqBFMCEIM4X5RxzWpzt3dy1RRRQIKr3wU6fch2KoYm3EDJAwasVXviF0+5YoHAiYlT34PFAD7UKLSEKSV8tcEjGRipaitSDaQkLtBRcD04qWgAooooAp6qEbR74SsVjNvIGYDJA2nJx3q2mNi46YqrqrKmj3rNGJFFvIShzhhtPHFWk+4vGOKAFooooAK5v4gYPw+1/ccD7DL/AOgmukrm/iAQPh9r5Iz/AKDLx/wE0AdJRRRQBzHjCN5rrw1Gkjx51dcshwQPIm6VtNp7Mka/brwbARkOMtz34rH8VgG/8L5OP+JwuOP+mE1dLQBV+xN9oab7Xc85+TcNoyMdMUxdPZYnj+3Xh3EHcXGRj04q7RQBSbT2ZI1+3XY2DGQ4y3Pfiobm0nGoWssd5cbHlYSIZAFC+W+MDHPOPWtOqV6sZvNNLuVYXDFAFzuPlPx7cZP4UAA09hE8f268O4g7i4yMenFDaezLGv267GwYyHGW578VdooAq/Ym+0NL9rufmz8m4bRkdhimDT2ETR/brw7iDuLjIx6cVdooAyrmxnNzYol9dCNdwkPmAFuCR25q39ibz3l+2XPzZ+TcNoz6DHamXSxnUrAs5Dhn2qFzu+XnntV2gCkNPYQtH9uvDuIO4uMjHYcUNp7MIx9uuxsGMhx83OeeKu0UAVPsTee8v2y5+bPybxtGfQY7VTk0+cXlvGuoXflMrlyZV3ZG3GOPrWvVKdYzq9mzORII5dq7eD93PPbtQArWDMIx9uuxsGOHHzc9+KX7E3nPJ9suvmz8m8bVz6cdqt0UAUhp7CFo/t14csDu3jcPbp0pWsGby/8ATrsbBjhx83PfirlFAGY9pONYRlvLjyZIZSyGQYVsptwMdgW+nH4zDT2EJj+3XnLA7t43D26dKJVj/tu1YuRILaYKm3gjdFk59uPz9qu0AU2sGby/9NuxsGOHHzc9TxS/YW86ST7ZdfOCNu8YXPpx27VbooApDT2EJj+3XnLbt28bh7dOlV3spzqcKi+uRCkBziQZZgw5IxzwetatUmWP+20befM+zMNm3jG4c5oAcLFhLI/2y6+cEbd4wufTjt2rF8V2TR+C9YH2y6fFtI+XcHOFPHTpXS1i+MP+RM1n/rzl/wDQTUVPgZFX4JehV8K2Zl8JaJILu5jxZxfKjAA8Z54rZFiwlkf7ZdfOCNu8YXPpx27VQ8H/APImaN/15xf+gitqin8C9ApfBH0MgafP9ueL+0LvyfKVgfNXduyfbpjHarbWDM0Z+23Y2ADAcfNj14pAsf8AbbtvPmfZlGzbxjcec1dqyyoLFhJI/wBsuvnBG3eMLn047U3+z28ny/t1597dv3jd9M46VdooApmwYtG3226GwAYDjDY9eKrx2c/9rXWb248loF2r5g+Viz5wMcYG3B/nWpVKNY/7buWDkyG2iBTbwBukwc/n+VAB/Z7eT5f268+9u37xu+mcdKU2LF42+23Q2ADAcYbHrxVyigCoLFhJI3226O8EYLjC59OOKb/Z7eT5f268+9u37xu+mcdKu0UAZcdlO2pSFr258qNI9iiQfMec7hjvx9asCxYPI3226O8EYLjC59OKSBYxq94VcmQxxbl28D72Oe/ertAFL+z28ny/t1597dv3jd9M46U42LF42+23Q2ADG8YbHrxVuigCmLBg8jfbbo7wRguMLn04rB8OQvB4u8UxtNJKokttrSMCf9SK6quZ0IL/AMJr4rIJJMlrkY6fuRQB01FFFABRRRQAVyfhW2kfUfEUzXM67dYlAjVxtI8uPqMV1lcz4QCi48S7Tn/icy546Hy46ANldPZY3T7deHfj5i4yuPTihtPZokT7deDbn5g4yc+vFXaKAKv2JvtIm+13P/XPcNvTHTFMXT2WN0+3Xh34+YuMrj04q7RQBk2thPJbsk1/dApNIFZZVJK7uMnHpVz7E32nzvtdz/1z3Db0x0xTNNWNYrjy3Lg3MpOVxg7jkVdoA8v+I1mYdd8JKbu5k332MyOCV+aPkcV6G2ns0aJ9uvBsz8wcZbPrxXC/Ez/kYPBv/YQ/9njr0evSxX+6Yf0l/wClM3qfw4fP8yr9ib7T532u5/657ht6Y6YqnYWE/wBjlWa+ui7TSAN5oJVRI23BxxxjP9K1qpaWsa2kgjcuv2mcklcc+a+R+ByPwrzTAG09mjRPt14NmfmDjLZ9eKf9jb7T532u5/657ht6Y6Yq1RQBSXT2WJ0+3Xh3Y+YuMjHpxQ2ns0aJ9uvBsz8wcZbPrxV2igDL0+znKCae9uC5d8oJFKY3EDt6YqddPZYnT7deHdj5i4yMenFGlLGunqInLp5knzFcfxtnj61doApNp7NGifbrwbM/MHGW578U/wCxN9pM32u55z+73DaOMdMVaooApLp7LE6fbrw7iPmLjIx6cVXsrGeXTbYT310JVX5mSRTuOe5wc1q1S0hY10m2ETl0CcMVwT+FAD/sTfaDN9ruec/JuG0cY6Ypi6eyxOn268O4g7i4yMenFXaKAKTaezJGv268GwEZDjLc9+Kf9ib7Q032u55z8m4bRkY4GKtUUAZOnWM50mAT310ZnjRnYSg4bHODjpVltPZkjX7ddjYMZDjLc9+KNHWNdFsVicvGLdArFcFhtGDjtV2gCkYEF9g384kkVmWHzBjbwCQMdAWH5igaewiaP7deHcQdxcZGPTiq8yt/wltk207RY3AJxxnzIa1aSd7kp3bKE2nu0Khb67DIpAIcDcevPFMsLKb7NBLNe3LSNCN6+YpXJXkjj1q/Lgwvk4G05NQaYEXSrMRsWQQIFYjBI2jBx2plDBp7CJo/t14dxB3FxkY9OKG09mWMfbrsbBjIcfNznnirtFAFX7E3nvL9sufmz8m4bRn0GO1V7iwlTT7hI767MhUsrNIAQQDgZxwK0qr3wU6fch2KoYm3MBnAwe1AFeOwke3t999dB0Qbisg+Y9eeOal+xN57y/bLn5s/JuG0Z9BjtU1qFFpCFOV8tcHGMjFS0AUhp7CFo/t14ckHcXGR7dOlK2nswj/067GwY4cfNz34q5RQBmX1nMtrezQ3lx5phk2K0gCqxU47cYPvUq6e4t/LN9d5JB3bxke2cdKfqoRtHvlkcpGbeQMwGSBtOTjvVpMbFx0xQBUawZvL/wBOuxsGOHHzc9TxS/Ym86ST7ZdfOD8u8bVz6cdu1W6KAKQ09hCY/t15ywO7eNw9unSuf8e2TjwFrTLeXOY7CQYLjDcHrxXW1zfxAAPw+1/ccD7DLz/wE0AdJRRRQBzXisgX/hfK5/4nC/h+4mrpa5vxVu+3+GNp/wCYwufp5E1dJQAUUUUAFUr1lW800NGGLXDBWJPyHynOfyBH41dqrded9qsfKbCecfNGQMr5b4+vO2gC1RRRQAUUUUAUrplGpWCmMMzM+1sn5flNXaq3HnfbrPY2Itz+YMjn5ePrzVqgAooooAKpTso1ezUxgsY5cPk/L93+f9Ku1Vm87+0rXY2Idkm8ZHJ+XHH50AWqKKKACiiigClKyjW7VDGC5tpiHycgBosj8cj8qu1Vk87+1bfa37jyJd4yOW3R7eOvTdVqgAooooAKpMy/22ieWN/2Zjvyc43DirtVT539qp837jyGyMj724duvSgAv9Rs9LtxcX1zHbwlgm+RsDJ6c1m+LHSXwTq8kbq6NZSFWU5BG08g1sXFvDdQPBcQxzQuMMkihlYe4NedeLNKuvCeh6i2kb5dEuoXinsmYn7MzDAkjJ6Lk8j3/LGtJxi3bQ568pRi3bSx1vhJ0j8E6O8jKiLZRlmY4AG0da0rDUbLVLcz2NzFcQhim+NsjI6jNcB4T0u68WaHpzarvi0O0hSKCzViPtTKAC7kdVyOB7fn6Lb28FpAkFvDHDCgwscahVUewFFGTlFPoFCUpRTtpYrBl/tt08sb/synfk5xuPFXaqjzv7Vf5v3HkLgZH3tx7demKtVsdAUUUUAFUo2U63coIwHFtES+TkjdJgfhg/nV2qqed/as+W/ceRHtGR97c+eOvTbQBaooooAKKKKAKUDKdXvFEYDCOLL5Pzfe/lV2qsPnf2ldb2zDsj8sZHB+bPH5VaoAKKKKACuZ0Ig+NfFYC4Iktcn1/ciumrmtD3/8Jn4q3H5fMtdvP/TEZoA6WiiigAooooAK5nwgQbjxLhcY1mUfX93HXTVzXhLf9o8Sbzn/AInEuOe3lx0AdLRRRQAUUUUAUtNZXiuNsYTFzKCAScncefxrm08ctp2qmw8TaZJpW+QrBd7t8Egzxlh0OP8A6+K6ex87y5vObJ8+TbyD8u446e1Lf6faapZS2d9Ak9vKMMjjIP8Agfet6E6UW1VjdPtuvTp9/wCBcHFfEjgPiUwbXvBjKQVN/kEHgjdHXVeIvFum+G1jjnMk97NxDZwLulkPbjsPf+deReMrPV/CusaRpwZ7yxtbj7RpjSAlsZXMR9cED8/fA9R8JeFTpatquqt9q167G+4uH5Mef4F9AOnH8sCvaxVChSwtGdSXNFJ2S0cru/yt189PM6qkIRpxcnda/PU1dAvtT1HTjc6ppn9nTNIdkBk3tswMFvQ9eParGlsr2khSMRj7TOMAk5IlcE8+p5/GrtVdP877M/ntl/Pmwcg/L5jben+zivBnJSk2lZdv+HONu7ui1RRRUCCiiigClpTK+nqyRiNfMk+UEn+NvWrtVdO877GPtDZk3vk5B43nHT2xVqgAooooAKpaQyvpVsyRiNSnCAk4/OrtVdN87+zoPtDbpdvzHIPP1FAFqiiigAooooApaOyvoti6RiNGt0IQEkKNo45q7VXTPO/sq0+0Nun8lPMOQctgZ5HHWrVADTIgkEZdd5BYLnkgYycfiPzp1cxNrVqPFNozrMkyWc8Zt2T97uLwkAAZznBORkYBOeDXSoxeNWKMhIBKtjI9jjipjJSvYiM1JtLoJKQIXJGRtPHrUGmMraVZsqBFMCEKDnaNo4qxJu8p9v3sHH1qGw8z+zrbzjmXyk3nOctgZ5qiyxRRRQAVXviF0+5ZlDqImJUnrweKsVDd+Z9in8o4k8ttpzjnHFAC2pBtISF2gxrgenFS1Hb7/s0XmHL7BuPvipKACiiigCnqrKmj3zOgkUW8hKEkbhtPHFW0+4vGOKr6j5v9mXfkHE3kv5ZyBhtpxyferC52jPXHNAC0UUUAFc38QCB8PtfJGR9hl4/4Ca6Suc8fbv8AhX+v7ev2GX/0E0AdHRRRQBzXisA3/hfJx/xOFxx/0wmrpa434g232xvC9t588Al1uNTJbyGNwPJm6MORVw+C4CFH9u+IhjuNUk5/WgDpqK5v/hDIPML/ANueIOe39py4/nTR4LgClf7d8Rc9/wC1JMj9aAOmqleqhvNNLuVYXDFBtzuPlPx7cZP4VjHwXAQo/t3xEMdxqknP60jeCLV5llbWdfLISy51OTCkgjI544JoA6eiuZHguAKV/t3xFz3/ALUkyP1oPguAhR/bviEY9NUk5/WgDpqK5v8A4QyDeW/tzxBz2/tOXH86aPBcAQr/AG74i57/ANqSZ/nQBs3SxnUrAs5Dhn2rtzu+U557Vdrl38D2rtGza14gLR52t/acmRn8af8A8IZBvLf254h5zx/akuB+tAHS0VzI8FwBCv8AbviLk5z/AGpJn+dB8FwEL/xPfEIx6apLz9eaAOmqlOsZ1eyZnIcRy7V2/e+7nntWP/whkG8t/bniHnPH9qS4H61GfA1qzK51vxAXXO1zqcmRnrjn2FAHU0VzR8FwHb/xPfEIx6apLz9eaP8AhDIN5b+3PEPOeP7UkwP1oA6WiuZ/4QuDYV/t3xFyc5/tSTP86U+C4Dt/4nviEY/6ikvP15oA2JVQ63asXIkFtMFTb1G6LJz7YH5+1Xa5g+CLU3HnnWtfLhWUH+05PlBxkDn2H5Cl/wCELg2Ff7d8Rdc5/tSTP86AOmormj4LgO3/AInviHj/AKikvP15o/4QyDezf254h5zx/akmB+tAHS1SZU/ttG3nzPszDZt7bhzmsb/hC4Nm3+3fEXXOf7Ukz/OmnwPamVZf7a8Qb1Xbu/tOTJGc+tAHUVHcW8V3bS288YkhlQo6N0ZSMEVz3/CGQbmb+3PEPOeP7UkwPpzSf8IXBs2/274i65z/AGpJn+dAHQ21tDZ2sVtbxiOGJAiIvRVAwBUtc0fBcBK/8T3xDwP+gpLz9eaP+EMg3Mf7c8Q854/tSTA+nNAbGwqp/bbtvPmfZlGzb23HnNXa5f8A4Qa1Dl/7b8QeYQBv/tOTOPTOenNPPgyAlT/bviHgf9BSXn680AdLRXNf8IZBuY/254h5zx/akuB9OaT/AIQuDZt/t3xF1zn+1JM/zoA6aqUap/bdywcmQ20QKbeg3SYOffn8qxz4MgJU/wBueIeB/wBBSXn6800eCLUTyTDWtf3uu0n+05OgyQOvbJ/OgDp6K5n/AIQuDZt/t3xF1zn+1JM/zpT4MgJU/wBueIfl7f2pLz9eaAOlormv+EMg3Mf7c8Q/Nnj+1JOPpzSf8IXBs2/274i65z/akmf50AbMCxjV71lclzHFuXb9372Oe9Xa5ceB7UTeaNa8QByAGI1OT5sdM889af8A8IZBlj/bniHnPH9qScfTmgDpaK5n/hC4Nm3+3fEXXOf7Ukz/ADpf+EMg3Kf7c8Q/Ljj+1JOfrzQB0tczoQX/AITXxWQ2SZLXIx0/cilHgyAFj/bniH5v+opJx9Oay/Bdn/Z3jPxjZi6urlI5LTD3Uxlc5hzyx5NAHc0UUUAFFFFABXM+EAouPEu1s/8AE5lzx0Plx101edeGdATVtV8U3Mmp6tAU1yaMR2t68SYCR8lR356/SgD0WiuZHguAKw/t3xEc9zqkvH60HwXAVA/t3xEMd/7Ukyf1oA6aiub/AOENg8zf/bniD/d/tOTH86aPBcAVh/bviI57nVJMj9aANnTFjWK48ty4NzKTlcYO45FXa5dfA9rGm1Nb8QINxY7dTkGSTkk81J/whkHmb/7c8Qf7v9py4/nQBs3mmWWoS2st3bJK9rL5sDMPuP6j/Pp6VbrmR4LgCkf274iOe51STI/Wg+C4CoH9u+IhjuNUkyf1puTaSb2HdnTVS0tY1tJBG5dftM5JK45Mr5H4HI98Vkf8IbB5m/8AtzxB/u/2nLj+dRxeB7WGNkj1vxAoZi3GpyDkkknr3JNIR1FFcyfBcBVR/bviIY7jVJMn9ad/whsHmb/7c8Qf7v8AacuP50AdJRXMjwXAFI/t3xEc9/7UkyP1oPguAqo/t3xEMdxqkvP60AbOkrGunqI3Lr5knzFcfxtnirtcxH4ItYT+71nX1XJOwanIBz14z70o8FwBSv8AbviI57/2pJkfrQB01FcyfBcBVR/bviIY7jVJOf1p3/CGweZv/tzxB/u/2nLj+dAHSVS0hUXSbZYnLoE4YrjP4VjDwXAFK/274i57/wBqSZH601PA9rHEkUet+IERBgBdTkH9aAOoorm/+EMg8wv/AG54g57f2nLj+dNHguAKV/t3xFz3/tSTI/WgDpqK5k+C4CFH9u+IhjuNUk5/Wnf8IZB5hf8AtzxBz2/tOXH86ANfR1jTRbFYnMkYt0CuVxuG0YOO1Xa5eLwPawwCGPW/ECooAUDU5BtA7DninHwXAQo/t3xEMemqSc/rQBvtZWz30d60CG6jRo0lI+YKSCR+g/yanrm/+EMg8wv/AG54g57f2nLj+dNHguAKV/t3xFz3/tSTP86LCtY6OUAwuCcDacn0qDTAq6VZhGLoIECsRjI2jnHasNvBUDKFOueIcAYP/E0k5+vNJH4JtogqprXiBUVdqoNTkwBjHAzQM6eiuZHguAKV/t3xFyev9qSZ/nQfBcBCj+3fEIx/1FJefrzQB01V74K2n3IdtqmJgWxnAwecVhf8IZBvLf254h5zx/akuB+tNbwRbvE0T654hZW4OdTkPHp1oA6K1AFpCFO5RGuDjGRipa5keCbdURV1zxCoQYAGqSf40v8AwhkG8t/bniHnPH9qS4H60AdLRXM/8IXBsK/274i5Oc/2pJn+dKfBcB2/8T3xCMemqSc/XmgDZ1VUbR75ZHKIbeQMwGdo2nJx3q2n3FxyMVzMngi2lWRZNa19kkUqyHU5CuDweM0o8FQBNo13xD16/wBqSZ/nQB01Fc0fBcB2/wDE98QjA/6CkvP15o/4QyDezf254h5zx/akuB+tAHS1zfxAAPw+1/JwPsMvP/ATTf8AhC4NhX+3fEXXOf7Ukz/Oud8feFYrPwDrdyms65I0Nm5CS6jI6Nx/EpOCKAPSKKKKAOU8af8AH/4R/wCw7H/6Imrq65Txp/x/+Ef+w7H/AOiJq6ugAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIbq7trG3a4u7iK3gT70krhFH1J4qK21XTrxVa1v7WcO/lqYplbLYLbRg9cAnHoCa47TJz4g+LWvxXoD2/h6G2js4W5USTIXaXH97ACg9hnHU1tatp+lXniXRdSe7tYr7TJ3JDSAM6vE6bCM+rgjPvjrQB0VFYSeIZLz+0X0yx+1wafM8ErGXY0kiDLrGMHOPu8lfmBHvSReJU1BNMfSbZrqHULZrqO4fckSoNvDMFbax3dCOx9KANa8v7PTollvruC2jZtoeeQICfTJPWrFcF4s1i38Q/CTU9QhjZFZSjRyYJSRJtjDjg4ZTz3613tABRXLv4p1D+3dU0mDQ2uZ7AQSfurkfvIpWIB+YABgFJ2k9jz0zbTxDJef2i+mWP2uDT5nglYy7GkkQZdYxg5x93kr8wI96AN2iuWg8ZfbtU0y2sLKOa11Wye7srp7jYsgUKShG0kN8w49MnqMU3TfF9zq2jafqFnpKu15dva+T9rGYyhYMzHbjjYxwO2MZzQB1dFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVyHhv/AJKH41/66WX/AKIFdfXIeG/+Sh+Nf+ull/6IFAHX0UUUAFFFFABXIeBP+PjxZ/2H5/8A0XFXX1yHgT/j48Wf9h+f/wBFxUAdfRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUZ9a0q2u/sk+p2UVzx+5knVX56fKTnmsf4ha7c+G/AWsatZ4+0wQ4iJGdrMwUN+G7P4Vb0LTbDQ/C9tbMYxEYVNxNMR++dgNzux+8WJ5J9aANiOWOYMY5EcKxVtrA4YdQfen1yOnS6T4L8O3CwXCXMLX7+RDbuGYvPL8kQ565bHJ6c1rDW2t9Zs9L1G3S3nvUdrZopTIjsgBZCSqkNg5HGCAeeKANiq8N/Z3F1NbQXcEtxBjzYkkDPH/ALwByPxrCj8W4/suW706W1ttSumtYTKSsqP823fGygqDsPIJ6r2OahtVA+K+qEAAnRbQn3/fXFAHV0Vk+JtYl8P+Hb7V4rRboWcTTSRGXyyUUEnBweeOlUpvFL2du095pc0KSyQRWOJFY3Ty8KoH8JH8WeAMnJxQB0dFYc+vXFrqUemT2MYvrmB5rRVuMxz7Mb03FQVYBgemCO/Bxk2Xjt7yDw7cf2YkcWtStCha6+aBl3ZDDb1+Ujj+LA4zmgDsqKzdK1G61CS98+xFvFBO0MUgmD+dtOCwGBgZ455yD6c6VABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVy3xJ/5Jr4i/68ZP5V1Nct8Sf+Sa+Iv+vGT+VAHU0UUUAcp40/4//CP/AGHY/wD0RNXV1ynjT/j/APCP/Ydj/wDRE1dXQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHNXugXVp4obxHo3ktc3EC297azMUW4VTlHDAHa65I5BBBxx1qrf+G7zW/F/h/XZ7e1tYtKeZmiY+ZJL5kRXqBgbTtI5OcnpgZ6+igDl7DRNU0FNXttLFrLDe3Ut3BJPIymB5eWBUKdwDZIwR1xxjNZ9l4Jn0iXRbaHydR0nTtPNsLW5coPP3A+ft2srEjI55XPGcmu4ooA88k8G6+ngjVfDsMmnP9pnkaFmleNQHmeUsQEJB+ZV28jjOe1egQmVoUM6IkpHzKjllB9iQM/kKfRQBzenaXq1t411jVJorL7DfRQRIUuHMiiLzMEqYwOd443cY71HYaJqmgpq9tpYtZYb26lu4JJ5GUwPLywKhTuAbJGCOuOMZrqKKAOLuPApg8K6BpOlXnk3OjyxmK6cYYqQUm6dCyO5A6Zx9a0tJ8NvpXiTULuOSMabNiW3tlH+rlZVWQ+gGI0Ix3Z/WuiooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArkPDf/JQ/Gv/AF0sv/RArr65Dw3/AMlD8a/9dLL/ANECgDr6KKKACiiigArkPAn/AB8eLP8AsPz/APouKuvrkPAn/Hx4s/7D8/8A6LioA6+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAp6rplprWlXWmX0fmWt1E0Uq+oI7eh96x9Kttd0vTI9Jube21JLeMRQ3bTeX5qqML5qlTtbAGSu7PXAzgdJRQBwOnfDyWx8FxaP9qt/t1rqX9pW88cRVPMWbzEDL1xj5T6Ctq50S/wBX8QaZqd75FqumJM0EcUhlLTSJs3ElV+VVLYHfPbGD0lFAHnsXgzVk0nRo3isH1PTr2K7uLySZma9ZSQxZym5chiec4ICjjmtvT9I1mDxpPq139iktpdOhs2dJm8wtG0jF9mwAZMnTdxjvXT0UAYni/TL3WvCep6VYC38+9t3tw08hRUDKRuyFYnGemPxqtq+g3etaJpyy/Z7fUtPuobyELIZIjJGfuklQcMpIJxkZ7456SigDnm0W71LxTpus6gsECaZFKtvDDIZC8koCszEqMAKMADruycYxWNP4Fuvs+vpb3UIM119t0gNnFrLuWVskDo0y5OM8fXFd1RQBW0+1+xWENuW3ui/O+PvueWb6kkn8as0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXLfEn/kmviL/AK8ZP5V1Nct8Sf8AkmviL/rxk/lQB1NFFFAHKeNP+P8A8I/9h2P/ANETV1dFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXIeG/+Sh+Nf8ArpZf+iBRRQB19FFFABRRRQAVyHgT/j48Wf8AYfn/APRcVFFAHX0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVy3xJ/5Jr4i/68ZP5UUUAdTRRRQB//2Q==)\n \n\nWe now prove the following proposition: in any valid strategy for Turbo, in the case where Turbo first encounters a monster upon leaving the happy triangle, the second path must outline the same staircase shape.\n\n\n\nThe monsters pre- commit to choosing their pattern to be either a NW- SE diagonal or NE- SW diagonal, with a single one- column gap; see figure below for an example. Note that this forces any valid path for Turbo to pass through the particular gap. \n\n![](data:image/jpeg;base64,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)\n \n\nWe may assume without loss of generality that Turbo first encounters a monster \\(M_{1}\\) when Turbo first leaves the happy triangle, and that this forces an NW- SE configuration. \n\n![](data:image/jpeg;base64,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)\n \n\nThen the following is true:\n\n\n\n## Proposition \n\nPropositionThe strategy of Turbo on the second path must visit every cell in \"slightly raised diagonal\" marked with \\(\\clubsuit\\) in the figure above in order from top to bottom, until it encounters a second Monster \\(M_{2}\\) (or reaches the bottom row and wins anyway). It's both okay and irrelevant if Turbo visits other cells above this diagonal, but the marked cells must be visited from top to bottom in that order. \n\nProof. If Turbo tries to sidestep by visiting the cell southeast of \\(M_{1}\\) (marked \\(X\\) in the Figure), then Turbo clearly cannot finish after this (for \\(s\\) large enough). Meanwhile, suppose Turbo tries to \"skip\" one of the \\(\\clubsuit\\) , say in column \\(C\\) , then the gap could equally well be in the column to the left of \\(C\\) . This proves the proposition. \\(\\square\\) \n\nRemark (Memories of safe cells are important, not just monster cells). Here is one additional observation that one can deduce from this. We say a set \\(S\\) of revealed monsters is called obviously winnable if, based on only the positions of the monsters (and not the moves or algorithm that were used to obtain them), one can identify a guaranteed winning path for Turbo using only \\(S\\) . For example, two monsters in adjacent columns which are not diagonally adjacent is obviously winnable. \n\nThen no strategy can guarantee obtaining an obviously winnable set in 2 moves (or even \\(k\\) moves for any constant \\(k\\) , if \\(s\\) is large enough in terms of \\(k\\) ). So any valid strategy must also use the memory of identified safe cells that do not follow just from the revealed monster positions.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2024/5, proposed by Chu Cheuk Hei (HKG) \n"}} +{"year": "2024", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}\\) , \\(a_{2}\\) , \\(a_{3}\\) , ... be an infinite sequence of positive integers, and let \\(N\\) be a positive integer. Suppose that, for each \\(n > N\\) , the number \\(a_{n}\\) is equal to the number of times \\(a_{n - 1}\\) appears in the list \\((a_{1},a_{2},\\ldots ,a_{n - 1})\\) . Prove that at least one of the sequences \\(a_{1}\\) , \\(a_{3}\\) , \\(a_{5}\\) , ... and \\(a_{2}\\) , \\(a_{4}\\) , \\(a_{6}\\) , ... is eventually periodic.", "solution": "We present the solution from \"gigamilkmen'tgeg\" in https://aops.com/community/p31224483, with some adaptation from the first shortlist official solution as well. Set \\(M:= \\max (a_{1},\\ldots ,a_{N})\\) . \n\n\\(\\P\\) Setup. We will visualize the entire process as follows. We draw a stack of towers labeled 1, 2, ..., each initially empty. For \\(i = 1,2,\\ldots\\) , we imagine the term \\(a_{i}\\) as adding a block \\(B_{i}\\) to tower \\(a_{i}\\) . \n\nThen there are \\(N\\) initial blocks placed, colored red. The rest of the blocks are colored yellow: if the last block \\(B_{i}\\) was added to a tower that then reaches height \\(a_{i + 1}\\) , the next block \\(B_{i + 1}\\) is added to tower \\(a_{i + 1}\\) . We'll say \\(B_{i}\\) contributes to the tower containing \\(B_{i + 1}\\) . \n\nIn other words, the yellow blocks \\(B_{i}\\) for \\(i > N\\) are given coordinates \\(B_{i} = (a_{i},a_{i + 1})\\) for \\(i > N\\) . Note in particular that in towers \\(M + 1\\) , \\(M + 2\\) , ..., the blocks are all yellow. \n\n![md5:1a4a7e7253b0ddf22f96b7b7a6d15d18](1a4a7e7253b0ddf22f96b7b7a6d15d18.jpeg)\n \n\nWe let \\(h_{\\ell}\\) denote the height of the \\(\\ell^{\\mathrm{th}}\\) tower at a given time \\(n\\) . (This is an abuse of notation and we should write \\(h_{\\ell}(n)\\) at time \\(n\\) , but \\(n\\) will always be clear from context.) \n\n\\(\\P\\) Up to alternating up and down. We start with two independent easy observations: the set of numbers that occur infinitely often is downwards closed, and consecutive terms cannot both be huge.\n\n\n![md5:1de27d96daadddccfdcbd38ca790caa0](1de27d96daadddccfdcbd38ca790caa0.jpeg)\n \n\nClaim — If the \\((k + 1)^{\\mathrm{st}}\\) tower grows arbitrarily high, so does tower \\(k\\) . In fact, there exists a constant \\(C\\) such that \\(h_{k} \\geq h_{k + 1} - C\\) at all times. \n\nProof. Suppose \\(B_{n}\\) is a yellow block in tower \\(k + 1\\) . Then with at most finitely many exceptions, \\(B_{n - 1}\\) is a yellow block at height \\(k + 1\\) , and the block \\(B_{r}\\) right below \\(B_{n - 1}\\) is also yellow; then \\(B_{r + 1}\\) is in tower \\(k\\) . Hence, with at most finitely many exceptions, the map \n\n\\[B_{n}\\mapsto B_{n - 1}\\mapsto B_{r}\\mapsto B_{r + 1}\\] \n\nprovides an injective map taking each yellow block in tower \\(k + 1\\) to a yellow block in tower \\(k\\) . (The figure above shows \\(B_{32} \\to B_{31} \\to B_{19} \\to B_{20}\\) as an example.) \\(\\square\\) \n\nClaim — If \\(a_{n} > M\\) then \\(a_{n + 1} \\leq M\\) . \n\nProof. Assume for contradiction there's a first moment where \\(a_{n} > M\\) and \\(a_{n + 1} > M\\) , meaning the block \\(B_{n}\\) was added to an all- yellow tower past \\(M\\) that has height exceeding \\(M\\) . (This is the X'ed out region in the figure above.) In \\(B_{n}\\) 's tower, every (yellow) block (including \\(B_{n}\\) ) was contributed by a block placed in different towers at height \\(a_{n} > M\\) . So before \\(B_{n}\\) , there were already \\(a_{n + 1} > M\\) towers of height more than \\(M\\) . This contradicts minimality of \\(n\\) . \\(\\square\\) \n\nIt follows that the set of indices with \\(a_{n} \\leq M\\) has arithmetic density at least half, so certainly at least some of the numbers must occur infinitely often. Of the numbers in \\(\\{1, 2, \\ldots , M\\}\\) , define \\(L\\) such that towers 1 through \\(L\\) grow unbounded but towers \\(L + 1\\) through \\(M\\) do not. Then we can pick a larger threshold \\(N' > N\\) such that\n\n\n\n- Towers 1 through \\(L\\) have height greater than \\((M, N)\\) ; \n\n- Towers \\(L + 1\\) through \\(M\\) will receive no further blocks; \n\n- \\(a_{N^{\\prime}} \\leq L\\) . \n\nAfter this threshold, the following statement is true: \n\nClaim (Alternating small and big) — The terms \\(a_{N^{\\prime}}\\) , \\(a_{N^{\\prime} + 2}\\) , \\(a_{N^{\\prime} + 4}\\) , ... are all at most \\(L\\) while the terms \\(a_{N^{\\prime} + 1}\\) , \\(a_{N^{\\prime} + 3}\\) , \\(a_{N^{\\prime} + 5}\\) , ... are all greater than \\(M\\) . \n\n\\(\\P\\) Automaton for \\(n \\equiv N^{\\prime} \\pmod {2}\\) . From now on we always assume \\(n > N^{\\prime}\\) . When \\(n \\equiv N^{\\prime} \\pmod {2}\\) , i.e., when \\(a_{n}\\) is small, we define the state \n\n\\[S(n) = (h_{1}, h_{2}, \\ldots , h_{L}; a_{n}).\\] \n\nFor example, in the figure below, we illustrate how \n\n\\[S(34) = (9, 11; a_{34} = 1) \\longrightarrow S(36) = (9, 12; a_{36} = 2)\\] \n\n![md5:f254ace49d8cc65ed775fdb4e197789a](f254ace49d8cc65ed775fdb4e197789a.jpeg)\n \n\nThe final element \\(a_{n}\\) simply reminds us which tower was most recently incremented. At this point we can give a complete description of how to move from \\(S(n)\\) to \\(S(n + 2)\\) : \n\n- The intermediate block \\(B_{n + 1}\\) is placed in the tower corresponding to the height \\(a_{n + 1}\\) of \\(B_{n}\\) ; \n\n- That tower will have height \\(a_{n + 2}\\) equal to the number of towers with height at least \\(a_{n + 1}\\) ; that is, it equals the cardinality of the set \n\n\\[\\{i: h_{i} \\geq h_{a_{n}}\\}\\]\n\n\n\n- We increment \\(h_{a_{n + 2}}\\) by 1 and update \\(a_{n}\\) . \n\nFor example, the illustrated \\(S(34) \\to S(36)\\) corresponds to the block \\(B_{34}\\) at height \\(h_{1}\\) in tower 1 giving the block \\(B_{35}\\) at height 2 in tower \\(h_{1}\\) , then block \\(B_{36}\\) at height \\(h_{2} + 1\\) being placed in tower 2. \n\nPigeonhole periodicity argument. Because only the relative heights matter in the automata above, if we instead define \n\n\\[T(n) = (h_{1} - h_{2},h_{2} - h_{3},\\ldots ,h_{L - 1} - h_{L};a_{n}).\\] \n\nthen \\(T(n + 2)\\) can be determined from just \\(T(n)\\) . \n\nSo it would be sufficient to show \\(T(n)\\) only takes on finitely many values to show that \\(T(n)\\) (and hence \\(a_{n}\\) ) is eventually periodic. \n\nSince we have the bound \\(h_{k + 1} \\leq h_{k} + C\\) , we are done upon proving the following lower bound: \n\nClaim — For every \\(1 \\leq \\ell < L\\) and \\(n > N'\\) , we have \\(h_{\\ell} \\leq h_{\\ell + 1} + C \\cdot (L - 1)\\) . \n\nProof. Assume for contradiction that there is some moment \\(n > N'\\) such that \n\n\\[h_{\\ell} > h_{\\ell +1} + C\\cdot (L - 1)\\] \n\nand WLOG assume that \\(h_{\\ell}\\) was just updated at the moment \\(n\\) . Together with \\(h_{k + 1} \\leq h_{k} + C\\) for all \\(k\\) and triangle inequality, we conclude \n\n\\[\\min (h_{1},\\ldots ,h_{\\ell}) > q:= \\max (h_{\\ell +1},\\ldots ,h_{L}).\\] \n\nWe find that the blocks now in fact alternate between being placed among the first \\(\\ell\\) towers and in towers with indices greater than \\(q\\) thereafter. Hence the heights \\(h_{\\ell +1}\\) , ..., \\(h_{L}\\) never grow after this moment. This contradicts the definition of \\(L\\) . \\(\\square\\) \n\nRemark. In fact, it can be shown that the period is actually exactly \\(L\\) , meaning the periodic part will be exactly a permutation of \\((1,2,\\ldots ,L)\\) . For any \\(L\\) , it turns out there is indeed a permutation achieving that periodic part.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2024/3, proposed by William Steinberg (AUS) \n"}} +{"year": "2024", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let triangle \\(A B C\\) with incenter \\(I\\) satisfying \\(A B< A C< B C\\) . Let \\(X\\) be a point on line \\(B C\\) , different from \\(C\\) , such that the line through \\(X\\) and parallel to \\(A C\\) is tangent to the incircle. Similarly, let \\(Y\\) be a point on line \\(B C\\) , different from \\(B\\) , such that the line through \\(Y\\) and parallel to \\(A B\\) is tangent to the incircle. Line \\(A I\\) intersects the circumcircle of triangle \\(A B C\\) again at \\(P\\) . Let \\(K\\) and \\(L\\) be the midpoints of \\(A C\\) and \\(A B\\) , respectively. Prove that \\(\\angle K I L + \\angle Y P X = 180^{\\circ}\\) .", "solution": "be the reflection of \\(A\\) over \\(I\\) , the most important point to add since it gets rid of \\(K\\) and \\(L\\) as follows. \n\nClaim — We have \\(\\angle KIL = \\angle BTC\\) , and lines \\(TX\\) and \\(TY\\) are tangent to the incircle. \n\nProof. The first part is true since \\(\\triangle BTC\\) is the image of \\(\\triangle KIL\\) under a homothety of ratio 2. The second part is true because lines \\(AB\\) , \\(AC\\) , \\(TX\\) , \\(TY\\) determine a rhombus with center \\(I\\) . \\(\\square\\) \n\nWe thus delete \\(K\\) and \\(L\\) from the picture altogether; they aren't needed anymore. \n\n![md5:6ce8a585844b3d592c5d01d43ff6e787](6ce8a585844b3d592c5d01d43ff6e787.jpeg)\n\n\n\n\nClaim — We have \\(B X P T\\) and \\(C Y P T\\) are cyclic. \n\nProof. \\(\\angle T Y C = \\angle T Y B = \\angle A B C = \\angle A P C = \\angle T P C\\) and similarly. (Some people call this Reim's theorem.) \\(\\square\\) \n\nTo finish, observe that \n\n\\[\\angle C T B = \\angle C T P + \\angle P T B = \\angle C Y P + \\angle P X B = \\angle X Y P + \\angle X Y P = \\angle X P Y\\] \n\nas desired. (The length conditions \\(A C > A B > B C\\) ensure that \\(B\\) , \\(X\\) , \\(Y\\) , \\(C\\) are collinear in that order, and that \\(T\\) lies on the opposite side of \\(\\overline{B C}\\) as \\(A\\) . Hence the directed equality \\(\\angle C T B = \\angle X P Y\\) translates to the undirected \\(\\angle B T C + \\angle X P Y = 180^{\\circ}\\) .)", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2024/4, proposed by Dominik Burek (POL) \n"}} +{"year": "2024", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Turbo the snail is in the top row of a grid with 2024 rows and 2023 columns and wants to get to the bottom row. However, there are 2022 hidden monsters, one in every row except the first and last, with no two monsters in the same column. \n\nTurbo makes a series of attempts to go from the first row to the last row. On each attempt, he chooses to start on any cell in the first row, then repeatedly moves to an orthogonal neighbor. (He is allowed to return to a previously visited cell.) If Turbo reaches a cell with a monster, his attempt ends and he is transported back to the first row to start a new attempt. The monsters do not move between attempts, and Turbo remembers whether or not each cell he has visited contains a monster. If he reaches any cell in the last row, his attempt ends and Turbo wins. \n\nFind the smallest integer \\(n\\) such that Turbo has a strategy which guarantees being able to reach the bottom row in at most \\(n\\) attempts, regardless of how the monsters are placed.", "solution": "Surprisingly the answer is \\(n = 3\\) for any grid size \\(s\\times (s - 1)\\) when \\(s\\geq 4\\) . We prove this in that generality. \n\n\\(\\P\\) Proof that at least three attempts are needed. When Turbo first moves into the second row, Turbo could encounter a monster \\(M_{1}\\) right away. Then on the next attempt, Turbo must enter the third row in different column as \\(M_{1}\\) , and again could encounter a monster \\(M_{2}\\) right after doing so. This means no strategy can guarantee fewer than three attempts. \n\n\\(\\P\\) Strategy with three attempts. On the first attempt, we have Turbo walk through the entire second row until he finds the monster \\(M_{1}\\) in it. Then we get two possible cases. \n\nCase where \\(M_{1}\\) is not on the edge. In the first case, if that monster \\(M_{1}\\) is not on the edge of the row, then Turbo can trace two paths below it as shown below. At least one of these paths works, hence three attempts is sufficient. \n\n![md5:72bdf0c26992f31d328e7a49e773efb6](72bdf0c26992f31d328e7a49e773efb6.jpeg)\n \n\nCase where \\(M_{1}\\) is on the edge. WLOG, \\(M_{1}\\) is in the leftmost cell. Then Turbo follows the green staircase pattern shown in the left figure below. If the staircase is free\n\n\n\nof monsters, then Turbo wins on the second attempt. Otherwise, if a monster \\(M_{2}\\) is encountered on the staircase, Turbo has found a safe path to the left of \\(M_{2}\\) ; then Turbo can use this to reach the column \\(M_{1}\\) is in, and escape from there. This is shown in purple in the center and right figure (there are two slightly different cases depending on whether \\(M_{2}\\) was encountered going east or south). \n\n![md5:e32fae3dda39312392784826dede21f0](e32fae3dda39312392784826dede21f0.jpeg)\n \n\nThus the problem is solved in three attempts, as promised. \n\n\\(\\P\\) Extended remark: all working strategies look similar to this. As far as we know, all working strategies are variations of the above. In fact, we will try to give a description of the space of possible strategies, although this needs a bit of notation. \n\nDefinition. For simplicity, we only use \\(s\\) even in the figures below. We define the happy triangle as the following cells: \n\nAll \\(s - 1\\) cells in the first row (which has no monsters). The center \\(s - 3\\) cells in the second row. The center \\(s - 5\\) cells in the third row. The center cell in the \\(\\frac{s}{2}\\) th row. \n\nFor \\(s = 12\\) , the happy triangle is the region shaded in the thick border below. \n\n![md5:dad22705de1fce8f8c261a2f7896a60a](dad22705de1fce8f8c261a2f7896a60a.jpeg)\n\n\n\n\nDefinition. Given a cell, define a shoulder to be the cell directly northwest or northeast of it. Hence there are two shoulders of cells outside the first and last column, and one shoulder otherwise. \n\nThen solutions roughly must distinguish between these two cases: \n\n- Inside happy triangle: If the first monster \\(M_{1}\\) is found in the happy triangle, and there is a safe path found by Turbo to the two shoulders (marked \\(\\bigstar\\) in the figure), then one can finish in two more moves by considering the two paths from \\(\\bigstar\\) that cut under the monster \\(M_{1}\\) ; one of them must work. This slightly generalizes the easier case in the solution above (which focuses only on the case where \\(M_{1}\\) is in the first row). \n\n![md5:3175236353305dd0f580909258076064](3175236353305dd0f580909258076064.jpeg)\n \n\n- Outside happy triangle: Now suppose the first monster \\(M_{1}\\) is outside the happy triangle. Of the two shoulders, take the one closer to the center (if in the center column, either one works; if only one shoulder, use it). If there is a safe path to that shoulder, then one can take a staircase pattern towards the center, as shown in the figure. In that case, the choice of shoulder and position guarantees the staircase reaches the bottom row, so that if no monster is along this path, the algorithm ends. Otherwise, if one encounters a second monster along the staircase, then one can use the third trial to cut under the monster \\(M_{1}\\) . \n\n![md5:2999c12eb3add7cd6a970f6aa2f09813](2999c12eb3add7cd6a970f6aa2f09813.jpeg)\n \n\nWe now prove the following proposition: in any valid strategy for Turbo, in the case where Turbo first encounters a monster upon leaving the happy triangle, the second path must outline the same staircase shape.\n\n\n\nThe monsters pre- commit to choosing their pattern to be either a NW- SE diagonal or NE- SW diagonal, with a single one- column gap; see figure below for an example. Note that this forces any valid path for Turbo to pass through the particular gap. \n\n![md5:69c3e768ef9150ab18e8736660ec2886](69c3e768ef9150ab18e8736660ec2886.jpeg)\n \n\nWe may assume without loss of generality that Turbo first encounters a monster \\(M_{1}\\) when Turbo first leaves the happy triangle, and that this forces an NW- SE configuration. \n\n![md5:72242c13f50c54757f8625f0ae0e4b0a](72242c13f50c54757f8625f0ae0e4b0a.jpeg)\n \n\nThen the following is true:\n\n\n\n## Proposition \n\nPropositionThe strategy of Turbo on the second path must visit every cell in \"slightly raised diagonal\" marked with \\(\\clubsuit\\) in the figure above in order from top to bottom, until it encounters a second Monster \\(M_{2}\\) (or reaches the bottom row and wins anyway). It's both okay and irrelevant if Turbo visits other cells above this diagonal, but the marked cells must be visited from top to bottom in that order. \n\nProof. If Turbo tries to sidestep by visiting the cell southeast of \\(M_{1}\\) (marked \\(X\\) in the Figure), then Turbo clearly cannot finish after this (for \\(s\\) large enough). Meanwhile, suppose Turbo tries to \"skip\" one of the \\(\\clubsuit\\) , say in column \\(C\\) , then the gap could equally well be in the column to the left of \\(C\\) . This proves the proposition. \\(\\square\\) \n\nRemark (Memories of safe cells are important, not just monster cells). Here is one additional observation that one can deduce from this. We say a set \\(S\\) of revealed monsters is called obviously winnable if, based on only the positions of the monsters (and not the moves or algorithm that were used to obtain them), one can identify a guaranteed winning path for Turbo using only \\(S\\) . For example, two monsters in adjacent columns which are not diagonally adjacent is obviously winnable. \n\nThen no strategy can guarantee obtaining an obviously winnable set in 2 moves (or even \\(k\\) moves for any constant \\(k\\) , if \\(s\\) is large enough in terms of \\(k\\) ). So any valid strategy must also use the memory of identified safe cells that do not follow just from the revealed monster positions.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2024/5, proposed by Chu Cheuk Hei (HKG) \n"}} {"year": "2024", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "A function \\(f\\colon \\mathbb{Q}\\to \\mathbb{Q}\\) is called aquaesulian if the following property holds: for every \\(x,y\\in \\mathbb{Q}\\) \n\n\\[f(x + f(y)) = f(x) + y\\quad \\mathrm{or}\\quad f(f(x) + y) = x + f(y).\\] \n\nShow that there exists an integer \\(c\\) such that for any aquaesulian function \\(f\\) there are at most \\(c\\) different rational numbers of the form \\(f(r) + f(- r)\\) for some rational number \\(r\\) , and find the smallest possible value of \\(c\\) .", "solution": "We will prove that \n\n\\[\\{f(x) + f(-x)\\mid x\\in \\mathbb{Q}\\}\\] \n\ncontains at most 2 elements and give an example where there are indeed 2 elements. \n\nWe fix the notation \\(x\\to y\\) to mean that \\(f(x + f(y)) = f(x) + y\\) . So the problem statement means that either \\(x\\to y\\) or \\(y\\to x\\) for all \\(x,y\\) . In particular, we always have \\(x\\to x\\) , and hence \n\n\\[f(x + f(x)) = x + f(x)\\] \n\nfor every \\(x\\) \n\nConstruction. The function \n\n\\[f(x) = \\lfloor 2x\\rfloor -x\\] \n\ncan be seen to satisfy the problem conditions. Moreover, \\(f(0) + f(0) = 0\\) but \\(f(1 / 3) + f(- 1 / 3) = - 1\\) . \n\nRemark. Here is how I (Evan) found the construction. Let \\(h(x):= x + f(x)\\) , and let \\(S:= h(\\mathbb{Q}) = \\{h(x)\\mid x\\in \\mathbb{Q}\\}\\) . Hence \\(f\\) is the identity on all of \\(S\\) . If we rewrite the problem condition in terms of \\(h\\) instead of \\(f\\) , it asserts that at least one of the equations \n\n\\[h(x + h(y) - y) = h(x) + h(y)\\] \\[h(y + h(x) - x) = h(x) + h(y)\\] \n\nis true. In particular, \\(S\\) is closed under addition. \n\nNow, the two trivial solutions for \\(h\\) are \\(h(x) = 2x\\) and \\(h(x) = 0\\) . To get a nontrivial construction, we must also have \\(S\\neq \\{0\\}\\) and \\(S\\neq \\mathbb{Q}\\) . So a natural guess is to take \\(S = \\mathbb{Z}\\) . And indeed \\(h(x) = \\lfloor 2x\\rfloor\\) works fine. \n\nRemark. This construction is far from unique. For example, \\(f(x) = 2\\lfloor x\\rfloor - x = \\lfloor x\\rfloor - \\{x\\}\\) seems to have been more popular to find. \n\nProof (communicated by Abel George Mathew). We start by proving: \n\nClaim — \\(f\\) is injective.\n\n\n\nProof. Suppose \\(f(a) = f(b)\\) . WLOG \\(a \\to b\\) . Then \n\n\\[f(a) + a = f(a + f(a)) = f(a + f(b)) = f(a) + b \\Rightarrow a = b. \\quad (□)\\] \n\nClaim — Suppose \\(s \\to r\\) . Then either \\(f(r) + f(- r) = 0\\) or \\(f(f(s)) = s + f(r) + f(- r)\\) . \n\nProof. Take the given statement with \\(x = s + f(r)\\) and \\(y = - r\\) ; then \n\n\\[x + f(y) = s + f(r) + f(-r)\\] \\[y + f(x) = f(s + f(r)) - r = f(s).\\] \n\nBecause \\(f\\) is injective, if \\(x \\to y\\) then \\(f(r) + f(- r) = 0\\) . Meanwhile, if \\(y \\to x\\) then indeed \\(f(f(s)) = s + f(r) + f(- r)\\) . \\(\\square\\) \n\nFinally, suppose \\(a\\) and \\(b\\) are different numbers for which \\(f(a) + f(- a)\\) and \\(f(b) + f(- b)\\) are both nonzero. Again, WLOG \\(a \\to b\\) . Then \n\n\\[f(a) + f(-a) \\stackrel{a \\Rightarrow a}{=} f(f(a)) - a \\stackrel{a \\Rightarrow b}{=} f(b) + f(-b).\\] \n\nThis shows at most two values can occur. \n\nRemark. The above solution works equally well for \\(f: \\mathbb{R} \\to \\mathbb{R}\\) . But the choice of \\(\\mathbb{Q}\\) permits some additional alternate solutions. \n\nRemark. After showing \\(f\\) injective, a common lemma proved is that \\(- f(- f(x)) = x\\) , i.e. \\(f\\) is an involution. This provides some alternative paths for solutions.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2024-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2024/6, proposed by Japan \n"}} diff --git a/IMO/segmented/en-IMO-2025-notes.jsonl b/IMO/segmented/en-IMO-2025-notes.jsonl index dfad1bef8d38b24af59216fafdd17d0f0271a65c..f3c9647e5a0a32dc583dbd6ae5fb52a8b1bf4c9e 100644 --- a/IMO/segmented/en-IMO-2025-notes.jsonl +++ b/IMO/segmented/en-IMO-2025-notes.jsonl @@ -1,6 +1,6 @@ -{"year": "2025", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "A line in the plane is called sunny if it is not parallel to any of the \\(x\\) -axis, the \\(y\\) -axis, or the line \\(x + y = 0\\) . \n\nLet \\(n \\geq 3\\) be a given integer. Determine all nonnegative integers \\(k\\) such that there exist \\(n\\) distinct lines in the plane satisfying both of the following: \n\n- for all positive integers \\(a\\) and \\(b\\) with \\(a + b \\leq n + 1\\) , the point \\((a, b)\\) lies on at least one of the lines; and \n\n- exactly \\(k\\) of the \\(n\\) lines are sunny.", "solution": "y. \n\nThe answer is 0, 1, or 3 sunny lines. \n\nIn what follows, we draw the grid as equilateral instead of a right triangle; this has no effect on the problem statement but is more symmetric. \n\nWe say a long line is one of the three lines at the edge of the grid, i.e. one of the (non- sunny) lines passing through \\(n\\) points. The main claim is the following. \n\nClaim — If \\(n \\geq 4\\) , any set of \\(n\\) lines must have at least one long line. \n\nProof. Consider the \\(3(n - 1)\\) points on the outer edge of the grid. If there was no long line, each of the \\(n\\) lines passes through at most two such points. So we obtain \\(2n \\geq 3(n - 1)\\) , which forces \\(n \\leq 3\\) . \\(\\square\\) \n\nHence, by induction we may repeatedly delete a long line without changing the number of sunny lines until \\(n = 3\\) (and vice- versa: given a construction for smaller \\(n\\) we can increase \\(n\\) by one and add a long line). \n\nWe now classify all the ways to cover the \\(1 + 2 + 3 = 6\\) points in an \\(n = 3\\) grid with 3 lines. \n\n![](data:image/jpeg;base64,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)\n\n
Long line present
\n\n![](data:image/jpeg;base64,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)\n\n
No long line
\n\n- If there is a long line (say, the red one in the figure), the remaining \\(1 + 2 = 3\\) points (circled in blue) are covered with two lines. One of the lines passes through 2 points\n\n\n\nand must not be sunny; the other line may or may not be sunny. Hence in this case the possible counts of sunny lines are 0 or 1. \n\n- If there is no long line, each of the three lines passes through at most 2 points. But there are 6 total lines, so in fact each line must pass through exactly two points. The only way to do this is depicted in the figure in the right. In this case there are 3 sunny lines. \n\nThis proves that 0, 1, 3 are the only possible answers. \n\nRemark. The concept of a sunny line is not that important to the problem. The proof above essentially classifies all the ways to cover the \\(1 + 2 + \\dots + n\\) points with exactly \\(n\\) lines. Namely, one should repeatedly take a long line and decrease \\(n\\) until \\(n = 3\\) , and then pick one of the finitely many cases for \\(n = 3\\) . The count of sunny lines just happens to be whatever is possible for \\(n = 3\\) , since long lines are not sunny.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2025/1, proposed by Linus Tang (USA) \n"}} -{"year": "2025", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(\\Omega\\) and \\(\\Gamma\\) be circles with centres \\(M\\) and \\(N\\) , respectively, such that the radius of \\(\\Omega\\) is less than the radius of \\(\\Gamma\\) . Suppose \\(\\Omega\\) and \\(\\Gamma\\) intersect at two distinct points \\(A\\) and \\(B\\) . Line \\(MN\\) intersects \\(\\Omega\\) at \\(C\\) and \\(\\Gamma\\) at \\(D\\) , so that \\(C\\) , \\(M\\) , \\(N\\) , \\(D\\) lie on \\(MN\\) in that order. Let \\(P\\) be the circumcenter of triangle \\(ACD\\) . Line \\(AP\\) meets \\(\\Omega\\) again at \\(E \\neq A\\) and meets \\(\\Gamma\\) again at \\(F \\neq A\\) . Let \\(H\\) be the orthocenter of triangle \\(PMN\\) . Prove that the line through \\(H\\) parallel to \\(AP\\) is tangent to the circumcircle of triangle \\(BEF\\) .", "solution": "L . \n\nThroughout the solution, we define \n\n\\[\\alpha := \\angle DCA = \\angle BCD \\Rightarrow \\angle PAD = \\angle CAB = 90^{\\circ} - \\alpha\\] \\[\\beta := \\angle ADC = \\angle CDB \\Rightarrow \\angle CAP = \\angle BAD = 90^{\\circ} - \\beta .\\] \n\nIgnore the points \\(H\\) , \\(M\\) , \\(N\\) for now and focus on the remaining ones. \n\nClaim — We have \\(\\overline{CE} \\parallel \\overline{AD}\\) and \\(\\overline{DF} \\parallel \\overline{AC}\\) . \n\nProof. \\(\\angle AEC = \\angle ABC = \\angle CAB = 90^{\\circ} - \\alpha\\) . \n\nHence, if we let \\(A' := \\overline{CE} \\cap \\overline{DF}\\) , we have a parallelogram \\(ACA'D\\) . Note in particular that \\(\\overline{BA'} \\parallel \\overline{CD}\\) .\n\n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCANkAw8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKrzX1pb/AOuuoI/9+QL/ADqv/bmln7l9DJ/1yO/+WaANCis/+2rM/dW7f/cs5W/ktH9rxHpa3x/7dHH8xQBoUVn/ANrJ/wA+d9j/AK92o/teIdbW+H/bo5/kKANCis/+2rMfeW6T/fs5V/mtH9uaWPv30Mf/AF1bZ/PFAGhRUEN9aXH+puoJP9yQN/Kp6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqncapaW0vlNLvm/54xKXf8A75GTUXn6nc/6i1jtU/v3Lbm/74U/zYUAaNVbjUrK0fZPcxrIeke7LH6KOTUH9lGbm9vbm4/2A3lp+S4yPqTVu3s7azTbbW8UKnqI0C5/KgCqNTll/wCPXTrqQf35FES/+PEN+lGNXm/is7YewaY/+yj+daFFAGf/AGbPJ/r9Uu3/ANmPbGP0Gf1o/sTT2/1sLT/9d5Wl/wDQia0KKAK8On2Vv/qLS3i/3Iwv8hViiigAooooAKKKKACiiigCtNp9lcf6+0t5f9+MN/MVB/Ymnr/qoWg/64SvF/6CRWhRQBn/ANmzx/6jVLtP9mTbIP1Gf1oxq8PezuR7hoT/AOzD+VaFFAGf/acsX/H1p11GO7xqJV/8dJb9Kmt9Ssrt9kFzG8g6x7sMPqp5FWqhubO2vF23NvFMB0EiBsfnQBNRWd/ZRh5sr24t/wDYLeYn5NnA+hFH2jU7b/X2sd0n9+2ba3/fDH+TGgDRoqnb6naXMnlLLsm/54yqUf8A75ODVygAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopCQqlmIAAySe1AC0jMqKWZgqgZJJwBWcdTe7JXTIROOnnudsQ+h6t+HHuKculLMwk1CU3jg5CsMRKfZOn4nJ96AEOq/aDt063a7/6a52RD/gZ6/wDAQaP7Pubrm/vHKn/ljb5jT8T94/mB7VogYGB0ooAht7W3tI/Lt4Y4k9EUCpqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAhuLW3u4/LuIY5U9HUHFVP7PubXmwvGCj/ljc5kT8D94fmR7Vo0UAZ39q/Zzt1GBrT/prnfEf+Bjp/wICtBWV1DKwZSMgg5BpSMjB6VntpSwsZNPlNm5OSijMTH3Tp+IwfegDQorNGpvakLqcIgHTz0O6I/U9V/Hj3NaIIZQykEEZBHegBaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKiuLiG1haaeRY416sxqj/AKZqf/PSztD+E0g/9kH/AI99KAJbjUkjmNtbRtc3Q6xoeE93bov8/QGo1017phJqconPUQKMRL+H8R9z+AFXbe2htIRDbxrHGOy+vqfU+9S0AAAAAAwBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAEAggjIPUGs1tNe1YyaZKIO5t2GYm/D+E+4/I1pUUAUbfUkkmFtcxtbXR6RueH91bo38/UCr1RXNtBdwmG4iWRDzhux9R6H3qiTeaZ18y8tB+M0Y/wDZx/499aANOiore4huoVmgkWSNujKaloAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKp3d+tvIsEUZnunGVhQ9vVj/CvufwzUU97NczPaafjep2y3DDKRew/vN7du/obNnZQ2UbLHuZ3O6SRzl3PqT/AJxQBBb6exmW6vnE9yOUAHyRf7o9f9o8/TpV+iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAoXGnsszXVi4guTy4I+SX/eHr/tDn69KfaX63EjQSxmC6QZeFzzj1U/xL7j8cGrlV7yyivY1Em5XQ5jkQ4dD6g/5z3oAsUVnQXs1tMlpqG0OxxFcKMJL7H+63t37eg0aACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiijpQAVltPLqztFaSNHZg4kuVODJ6rGfT1b8vUNZm1pikbMmmg4ZwcG49geyep79uOuqiLGioihVUYCgYAFADIIIraFIYY1jjQYVVHAqSiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCOeCK5heGaNZI3GGVhwaz1nl0p1iu3aSzY4juWPMfosh/k35+p1KR0WRGR1DKwwVIyCKAForJVm0VgkjFtNJwrscm3PoT/c9D278dNbrQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWU5OsyNChI05Dtkcf8tyOqj/AGfU9+nrTrl31K4eygcrbocXMqnBP/TNT6+p7DjqeNGONIo1jjUKigBVUYAHpQAqqFUKoAUDAAHAFLRRQAUUUUAFFZl/4i0jTJfJu9QgSc9IFbfKfoi5Y/gKqf8ACQ3l1/yDdAv5R2lu8Wqfk37z/wAcraOHqyXNay7vRfe9BOSRvUVgeT4mu/8AW32n6ep6pbQtO4+juVH/AI5Sf8IxHPzqGq6tfHuHuzEp/wCAxbFI+oqvYwXxTXy1/wAl+JPOa17qdhpyb76+trVf708qoP1NZn/CY6K//HrcTXx7fYbaW4B/FFI/WprPw7ounvvtNKs4ZOpkWFd5+rYyfzrTo/cLo39y/Cz/ADFzsxf+EhvZf+PXw1qkg7PKYYV/8efd/wCO0fbfE8v+r0jTIF9Zr92b/vlYsf8Aj1bVFHtYLaC/H/MXMzF8nxTL97UdJtx6JZSSH8zKB+lJ/ZeuSf63xLMn/XvZxL/6EGrbop/WJdEv/AV/kK7MT+wbxv8AWeJ9Zf8A8B0/9BiFH/CNK3+s1jWXP/X6y/8AoOK26KPrNTo7eiS/IDE/4Re1P3tQ1k/9xW4H8no/4Ray7Xus59f7Xuv/AI5W3RR9Zrfzv7xGJ/wi9sPu6jrK/wDcUnP82NH/AAjm3/V61rKf9vZb/wBCBrboo+s1eshmJ/YV+v8Aq/FGsL7FbZh+sJNH9m6/H/q/Ee//AK+LFG/9BK1t0UfWJ9l/4DH/ACAxNviqL/l70a5+ttLB+u96X+0PEkP+u0OymHrbagST+DxqP1raope2T+KCf4fk0F33MX/hJJov+Pvw9rEA7ssUc4/8hOx/SlXxjoAYLPqKWbHjbfI9sfykC1s0hAZSGAIPUGjmoveFvR/5p/mPmYlvdW95EJbaeKeM/wAcThh+YqasS48LaDcymZ9KtVm/57RRiOT/AL7XDfrUQ8Oy2xzp+u6rbAdEkmFyv4+aGb8iKOSi9pNeq/VX/IfOdBRWDu8UWg4Omako9Q9q+P8AyICf++fwo/4Sf7Mcano+p2QHWQQ/aI/rmIsQPdgKPq038Fpej1+7f8CudG9RVLT9Y03VVJ0+/trnb94RSBiv1A5H41drGUZRdpKzKCiiipAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEZVdSrAMpGCCMgisuMto0qwuSdPc7Y3P/LAnop/2T2Pbp6Vq02SNJY2jkUOjAhlYZBHpQA6isy2kfTbhLGd2aBzi2mY5P/XNj6+h7j3HOnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABQCDnB6daqaleNZ2u6JBJcSMI4IyfvuemfYcknsAT2rkfhv58EviuxubiS4nt9clJlk6sGjjYH278dqAO5qhfXEryrYWjbbiRdzyYz5Kf3vqegHr7A1LfXgs4Ayp5kznZFEDy7noP6k9gCaSwszaRMZH8y4lO+aTH3m9vYdAPSgCa2torS3SCFdsaDA7k+pJ7k+tS1Vv8AUbLS7c3F/dw20Ocb5XCgn0Gep9qyf7c1HUeNG0p/KPS71DMEf1VMeY34hQfWtYUZzXMlp3ei+8TkkdBWReeJ9JtLlrUXBubxetraIZpR9VQHb9WwKqnw9Nf863qlxeg9beEm3g/75U7mHs7MK1rSytdPt1t7O2ht4V6RwoEUfgKvlow3bl6aL73r+C9SHN9DK+3eI9QH+iadb6ZEekl+/myf9+ozj83/AApD4ba851fVr++z1iWXyIvpsjxkezFq3aKf1iUf4aUfTf73d/iS23uVLDS7DS4fK0+yt7WM9VhjCA/XHWrdFFYyk5O8ndgFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAM/UNC0rVWV76wgmkX7srJiRf91x8w/A1SGh39lzpWu3cYHSC+/wBKj/NiJP8Ax+t2itY16kVy3uuz1X3PQDE/tfWbD/kJaMbiMdZ9Nk8z8TG2GH0XfV3Ttf0rVZGis72N50+/bvlJU/3o2ww/EVeqlqGk6fq0apf2cNwF5UyICyH1U9VPuKrmpS+KNvT/ACf+aGpNGjRXPf2RqmnDOkavI0Y6Wuo5nT6CTIkH1Jb6U4eJWsfl13T5tOA63KnzrY+/mKMqPd1Wl9Xcv4b5vz+7/K5amupv0VHBcQ3UCT280c0LjKyRsGVh6gjrUlYNNOzKCiiikAUUUUAFFFFABRRRQAUUUUAFFFFAEVzbRXdu8Ey7kcc84I9CD2I65qrY3MqStYXbZuY13LJjHnJ/e+vYj19iKv1Uv7M3cSmN/LuYjvhkx91vf1B6EelAFuiq1jeC8g3MhjmQ7JYieUYdR/UHuCDVmgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKRmVFLOwVR1JOAKAForPOtWBYrDMbhh2t0aX/0EED8aPt93J/qdLnx/emdEH8yf0oA0KKz92sP/wAsbGH6yPJ/7KtHk6u3W+s19ltW/mZKAMyC2n17VLiXV9IurO3tsLZrLOnz5Hzv+6c4PbB6Af7RAyvCem32jeLfFM82lXFnpV7JDNbyyzxOBsi2vuxIzDJGR7elbOpX8mkohvNaiR5DiKFLTdJKfREBLMfoK8T+IMXjzxJ4osZdPnuYLE4hiQTiII2HdmkVWIztVicFvlAB9K09lPl5raf1+XXsNK+x7TJrFja3CajqMxWWZStjaKheZk9VjUFiW4J44GAcc0vneINW/wBTGmjWp/jlCy3LD2XlE/Ev7gVS0zTb/QkYpZWk00gHnXSh3klPqzFmc/ritOHVrp22mzikcdUhuRu/75cKRWiq0ofArvu/8tvvv8iZQna/TyHWPh7T7G5+1lHur7GDd3TmWX6An7o9lwPatWs/+14ox/pNvd2/u8JIH1Zcj9as295a3alra4imA6+W4bH5VnOpKbvJ3MrE9FFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJP4ZtBO91pks2lXbHc0lmQqufV4yCjfUjPuKb/amsaSMarYi9tx1vNOQlgPVoTlv++C30FbtFb+3b0qLmXnv9+/6eQLTYh0/UrLVbYXFhdRXEWcFo2zg9wR2PseatVjX+gWd7c/bIzLZ34GBd2rbJPYN2cezAj2qsNR1nRzt1S2/tC0H/L7ZRnzFH/TSHkn6pn/AHRR7GM/4T+T3+XR/g/ItT7nRUVWsdQs9TtVurG5iuIG4DxsCM9x7H2qzXPKLi7PcsKKKKQBRRRQAUUUUAFFFFABRRRQBm36NZXA1OFSQq7blF/jj/vfVev0yPStFHV0V0YMrDIIOQRS1mWf/EuvTp7cW8mXtT6d2j/DqPb6UAadFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVny6mGlaCxiN1Opw204jQ/7T9B9Bk+1AGhVB9WgMhitEkvJQcFYACFPux+UfTOfamf2ZJdfNqU5nH/PCPKRD6jq34nHsK0ERI0CRqqIowFUYAoAoeVql1/rJ4rNP7sI8x/8Avphgf98n605dGstweaNrmQc77ljJg+wPA/ACr9FACABQAoAA6AUtFYl54gzdyafpFv8Ab79DiTDbYbc/9NX5wf8AZGW9sc1dOnKo7RQm0tzVu7y2sLWS6u544IIxl5JGCqo9yawzqWq63xpcTadYnrfXUf7xx6xxHp/vPj/dIp9toINwmoazc/2hexnchddsNuf+mceSF/3jlvftViGePWt5ikVrONyjBTzIw6g+g9u/066uVOl8PvPv0+7r8/uEve3dkZKafZ2MMtzbxyTyS4ja5mcvPeMTwu88hM9hgYzgAU68sVs7/wAMwHDs19K0rYwHY202ePTsB2GBWrAPt2ptcf8ALvaExQjsz9Hb8Puj/gVVdb/5Dnhr/r+k/wDSaaqoylOo5Td3aX/pLJnO6stEaNiTHvtHJLQYCk90P3T/AE/Cp5oIbhds0SSD0ZQar3oMLR3i/wDLLiTHeM9fy4P4GreRjOePWuVdi5t3U11/P+tTK1If2Xp093bzTK0a/JFu3h3PCqA2epIHGOtV7tf9ItIb+wt7u4nyA8Hyuu1ckjPQdBnd1IqSNxrN+lyD/wASy0YtGx6Tyjjd/urzg9zz2GWW11E7XfiG5Oy1SIpbEj/lkOS4H+2QMeoVfWr5EYfWJN3eq/q7vv5CRzJFK8VtqctvJGQGgvVMigkZA3Hnp/tGro1G4twDe2bBP+e1sfNT8RjcPyI96NHtpI7FpbpMXN25nmU87S3Rf+AqFX8KnOnW4JaINA3rCxX9BwfxFS7o1i4SV3p/X9dyWC4huohLBKkqH+JGyKlrIuNImaUzxTL5/wDz1H7uQ/VlGG+hU02PUb+ybZqNo7xD/l4hXOPdlGfzH5Clzdx+yb+F3/r7zZoqK3uoLqMPBMki+qnNS1RDTTswooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGRe+H7ea6a+spZNP1E9bm2wPM9pFPyuPqMjsRUK6/c6URF4igSGPOF1GAE27f7+eYj/vZX/a7Vu0jKGUqwBBGCD3rZVrrlqK6/Fej/AEd15Am1sSKyugdGDKwyCDkEUtc4dDudJczeHZUhjJy+nTE/Z3/3McxH/dyvqp61e0zXrfUJ2s5Y5LPUYxuks7jAfH95SOHX/aUkeuDxSlR05qbuvxXqv12NFK5q0UUVgUFFFFABRRRQAUUUUAFVb+0+2WpRW2SqQ8Un9xx0P+PqCRVqigCtYXf2y1WQpskBKSx/3HHBH5/pirNZs/8AoGqJcji3uiIpvRZOiN+P3T/wGtKgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC6vILKISTPjJwqgZZz6ADkmoby/MMotraPz7txkR5wFH95z2H6ntRaaf5MpubiT7RdsMGUjAUf3UH8I/U9yaAIfs93qXzXZa2tj0t0b52H+2w6f7o/EmtCKKOCJYoY1jjUYVVGAB9KfRQAUUUUAFVr/ULTS7N7u+uEggXgsx6k9AB1JPYDk1S1TXEsp1sbSE3upyLuS1jbG1f78jdET3PXsCeKgstEc3aalq863uoL/q8LiK2z1ES9j6scsfUDiuiFJJc9TRdur/4Hn91yXK2xAV1TxF/rfP0rSj/yzB2XVwP9oj/VKfQfP7r0rXtbWz0uyWC2hitraIcKgCqo7n/69TySJFG0kjBUUZJPaqiRveuss6lYAcxxHq3+039B+fPSalZyXKtF2/rcUY396WxnzT3GsQG409opIYJSDbyceeV6qx/h9s+2eDVW7nivD9p0qZ7PWHdYHhdcHPpKncAAkMOw4JHXVvNMc3JvtPlW3vcAPuGY5gOgcfyYcj3HFYf2iy1TVjJqytp9xADBbuJCoL5+cpKMBuQBtPPByOalI56k23Z7fh9/Rmna30mlWsdre6dcRJEoUTW6meNvf5RuHqcr+NUr/VbDUPEHhyO1uUkkW9kZkHDAfZphkg8jrWmIdateIbq2vo+wuVMT/i6Ag/8AfArMv57+XxB4cW7sUgUXshDJP5gJ+zTcdAa2oW5n6S/9JYlKV7P8v1Wh05AIIIyD1FYL2jSPPa6jeLHptsoYRD5fMj7eY5P3RyMDGcc5zit+szWLSB0hvZrcT/ZG8woV3ZXvgdyOo+lc22pulzJwfX8yrtbXVWJIzBoy4zkbTcgdFA/hj/8AQunTq6MjXbuN0A/sq1cFCOlxIvQj/YU9PUj0HLvs95rQBvVNrp55FsGzJMP+mjDgL/sjOe56ithEWNFRFCqowFAwAKtuxhGLlv8A8P8A8D+vULAEAkAnoPWhmVVLMQAOpJrkVjWa38USaioNzHM4jZvvJEEBi2enOSMfxZ70mi6hLrGq6St4A4XR1uiGHBlZgpbHrhTj/eNHKT7fVK2/+djrywVSxICgZJJ4FIjrIgdGDKeQVOQa5iwSS4k1WwjRJIrHUA0cLnCshQNs9sMSR2yAOBW3p1tJB9od4khE0m9YUOQvAH0ycZOKTVi4VHLoRX2iwXMv2iEiC6/56KOG/wB4cZ+owfeobea4imW2lna3uD9xJv3kcn+43BP0JyPTvWrJcQwkCWaNCem5gM1Xnk0+8iME01vIjfw+YOvbHPWp5ToVZrRsX7RdRf6613j+9A2f0OD+WafHfW0rhBKFkP8ABICjfkeapNczaQD9skaWxHS5P3oh/wBNPUf7X5+tRvq8U1pa3M9mPsF1IkcbSHLfOcIxTHAJI755GR1wJPoKVSmviVvT+v8AI2aKoQ2sUkQltJZoFOdu1sqRnqFORg+3apM30XVYbhfbMbflyD+lF2tx8kX8L/T/AIH4luiqn9oRJxcLJbn/AKargf8AfQyP1qyjrIoZGDKehByKE0xShKO6HUUUUyQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqWp6TZ6vCsd3FkxtvilRiskTf3kYcqfcVdopxlKL5ouzAwP7Sv/Dw26wWvNOHTUY0+eIf9NkHb/bUY9QvWugiljniSWGRZI3AZXQ5DA9CCOopKwJNIutGke68P7BGxLzaY7bYpD3MZ/wCWbf8Ajp7gE7q39yrv7svwf+X5em5Slbc6Ois/StYtdXidoN8c0R2z28q7ZYW9GXt7HoeoJFaFc84Sg+WSszTcKKKKkAooooAKKKKAIrq2ju7WW3lB2SKVOOo9x71X0y4kntjHOR9pgYxTY7sO/wBCCD+NXazbj/QtWhuhxFc4gm9m/gb88r+I9KANKiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKoXd5K0/2Kx2tckZd2GVhU929T6Dv9KW+u5RKtnZ4N3IM5IysS/32/oO5/GprO0isoPLjySTud2OWdj1YnuaACzsorKIqm5nc7pJHOWkb1J/zirFFFABRRTZJEhieWV1SNAWZ2OAoHUk9hQA6uY1PxBJc+fBpMyQwQtsudTddyRNnGyMf8tJM8Y6A9cn5aXzbrxUcRNNaaH/z0GUlvR/s90j9/vN2wOTNrWkF9N0+LT4FSOwu4Z1t4wFBRDyoHTpyPpXWoRov39Zdui9fPy6deqMas2otxJdEg02wWa2tPMFxxLcPcZ86Un+Ny3LZweegxgYxipxrViUjcylY5QTFIyELJxn5Tjnjkeo5Ga5LxReSjWLyWHdGo0O4XLgqSdwxweep4/GrWpJMNH0CdjtIvLRYYlPCjIGT6kjP0rKbcneTu2YRq/E3tH8fQ2kvo7q7V7lJViWTZGCh2B84G49N2ePQHjrWzWf/AGZ+8x9pf7N53n+Tgff3buvXG7nH644q+x2qTgnAzgVnZLY355S+IrajctaWTvGAZmwkSnu7HC/qfypYLGGHT0s2USxKm1g4zv8AUn1yeayZNT+1avEv2K9MdopkYeTz5jDC/ku78xWxbXP2lGbyZosHGJU2k0WJ5k9Cj/wj9nF/x5yXNl/s20zKg/4Acr+lZl/Z3Fr4g8ONLqV1dIb2QBJljG0/Zpucqin8603v5rrXZNMtm8tLeJZbiYAEgtnaq547EknPb14wW1SS88SaRZzDfLZ6rPE0gGMj7LKUJHTJDHp3U9OldNC/M/SX/pLMrwT0OzoIyMHpRRXMblOyPktJZt/yy5j94z0/LkfgKuVUvlMYS7QEtBksB/Eh+8P6/hVpWDKGUggjII71K7GlTW0+/wCf9amNe2OoXf22FltmE2Vt7gqMwRlQD7ls7iOg96VdHGn6jZ3djGGjgtPsbRFsExggqQTxkEHr6+3OzRV8zOf2Ub3M3SNOex+2TTbfPvLhp5ApyF4AC574AH45rSoopN3KjFRVkRS20E5BmhjkI6F0Bx+dMFhZqQRaQAjkERirFFA7IpavYHVNHvLASGM3ELRh/TIxXOavpeoJo/2ZUiWxDxSPGrsxiKMGOwgAhOPcjsPTsKKadiZU1K9+uhFbENbRECMKVBAjOVA7YPpUtZTD+xpS6/8AIOc/Ov8Az7se4/2D39OvTONXORkUi7BVZ9PtmYusflOerxEoT9cdfxqzRSaTHGUo7MqeTeRf6q5WUf3Zl5/76XH8jR9skj/4+LSVB/ej/eL+nP6VbopW7F86fxL9CGG6guMiKZHI6gHkfUdqmqKa1guMedCjkdCRyPoe1Q/Y5I/+Pe6lT/Zk/eL+vP60ahaD2dvX+v0LdFVPNvIv9ZbrMP70LYP/AHy3+JpV1C2LBHcxOeiygoT9M9fwp3Qeyl019C1RRRTMwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAy9U0VL+VLu3maz1KIYiu4hkgf3WHR0PdT9Rg803Tdbke7GmatClpqeCUCkmK5A6tET191PzD3GCdaqmo6ba6raG2u496ZDKQSrIw6MrDlWHYjmto1FJclTVdH1X/A8vusCbWxfornbbU7vRbmOw1uTzYJGCW2pYADk9ElA4V/Q/db2PFdFWdSk6b11T2fc1TuFFFFZjCiiigAqC8tVvbOW3clRIuAw6qexHuDg1PRQBV066a7sUkkAWZcpKo7Opw36j8qtVnR/6JrckfSO8TzV9pFwG/Ndp/A1o0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVb+8+yQjYnmTyHZDHn77f0A6k9gKsSSJFG0kjBUQFmYngAd6z9Pje6mOpTqVaRdsEbDmOP8A+Kbgn8B2oAsWNn9kiYu/mXEp3zS4+839AOgHYVaoooAKKKrX9/baZZS3l5KIoIxlmPPsAAOSSeAByScU4xcnZbgOvLy20+zlu7uZIbeJdzyOcACsCO0ufE0q3WpxPBpSkNb6e4w02OjzD9RH26tzwr7Wxudau4tU1iExRRNvs9Pbnyj2kk7GT0HRe2TzW/XTdUNI6y79vTz8/u7mUpXCqOrQwz2OyaSSPEiOhjJ3F1IIAA68jpVm4uEt4wzZJJwqLyWPoKigt3Mn2m5wZsYVRysY9B7+prmvroUoJq89vzKVpoyvcTXuofv7mdPLKtjbGnPygD6n8zUkWjRotnHJPJLBZENAjAcEAhSx/iwDx+Zyea06Ka0M5JSewUjMqKWYgKBkk9hS1n6wS9mtopO67kEHH908v/46GoGLpCs1mbpwRJduZyD1AP3R+ChR+FX6AAAABgDoKKAKR01BfzXsMskMsyKkuzBDBc7TyDyMmsO+0yKw8SaHLDLKRcajJJIrkEF/skoLdM9FHHTrXU1h63/yHPDX/X9J/wCk01b4d++/SX/pLIcI7m5RRRWBYVTs/wBxJJZnpH80Xuh6D8Dx9MVcqpfKyKl0gJeA5IHVk/iH5c/UCpfc0p6+4+v59C3RSKyugZSCrDII7ilqjMKKKKACiiigAooooARlDKVYAgjBB71m2xbTLpbGQk2sh/0Vz/Af+eZ/p7cdudOobu1jvLZ4Jc7W6EHBU9QQexB5oAmoqlp9zJIslvc4+1QELJgYDjs49j+hBHartABRRRQAUUUUAFIyK6lXUMp6gjIpaKAKn9nwpzA0luf+mTYH/fPT9KMX0XRobhfRgUb8xkH8hVuip5V0NPayfxa+v9XKn29U/wCPiGaD3Zcr/wB9DI/PFWI5Y5k3xSI6+qnIp9V5LG2lfeYgsn99CVb8xzRqF4PfT+v66liiqn2e6i/1N2WH92dd36jB/PNH2q4i/wBfaNj+9Cd4/Lg/oaL9w9nf4Xf+vMt0VBDeW87bI5VL/wBw8MPwPNT073IcXF2aCiiimIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7i3hu7eS3uIklhkUq8brlWB6gisCO4uPCjiK8lkuNCJxHcuSz2fosh6tH6P1X+LjmujpGVXUqwDKRggjIIrWnU5VyyV4vp+q7P8Ap6BtsSAhlDKQQeQR3pa5f954QbcgeTw+T8yjlrD3HrF7fwdvl+70yOsiK6MGRgCrKcgj1FTVpclpJ3i9n/Wz8v0NVK46iiishhRRRQBn6wrLZi7QEyWjicAdSB94fipYVfVg6hlIKkZBHcUEBgQRkHgg1Q0YlLNrRjlrSQwc/wB0cp/46VoA0KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqC8uksrSW4cEhBwo6segA9ycD8aAKd3/xML9bAcwRYluff+6n44yfYD1rTqpp1q9ra/viGuJWMkzDu56/gOAPYCrdABRRUV1dQWVrLdXMqRQRKXkkc4CgdSaaTbsgGX19babZS3l5KIoIhlmP8gO5J4AHJNYtjZXWrXser6tE0SxndZWLf8sB/z0f1kI/BQcDnJLbK2n129i1fUonitojusLKQYK+k0g/vkdB/CPcnHQV0tqiuWPxdX28l+r+S0vfKUrhUNxcrbqOC8jHCRr1Y/wCe9JcXIgCqqmSZ+EjHVv8AAe9Jb2xjYzTMJLhhgt2Uf3V9B/OuZvoi4xSXNL/hxLe2YSG4uCHnIxx0Qei/496s0UUJWIlJyd2FFFFMQVnn/SNeA6pawZ/4G54/IKf++q0Kz9J/epdXZ/5eLhyP91fkX9Fz+NAGhRRRQAVh63/yHPDX/X9J/wCk01blYet/8hzw1/1/Sf8ApNNW+H+N+kv/AEliZuUUUVgMKKKKAKdn/o8slmfur88X+4e34Hj6Yq5VW+RgiXMYJkgO7A6sv8Q/L9QKsI6yIroQVYAgjuKlaaGlT3kp9/zHUUUVRmFFFFABRRRQAUUUUAZ+pRtCyajCpaSAESKOskR+8PqOo9xjvV6N1ljWRGDIwDKw6EHvTqzbD/Q7ubTjxGB5tv8A7hPK/wDAT+hWgDSooooAKKKKACiiigAooooAKKKKACiiigCOaCG4XbNEkg9GUGoPsPl/8e9xNF/s7t6/k2cfhirdFJpFKpJKyehU330X34op19Yzsb8jx+tKNRtwcTFoG9Jl2j8+h/A1aoIBGCMg9qVn0K54v4l9wgIYAggg9CKWqp063BLRK0DHvCxX8wOD+IpPLvovuTRzj0lXa3/fS8fpRd9Q5YvZ/eW6KqfbTH/x8W00X+0BvX81z+oFTw3ENwu6GVJB32tnFO6E6ckrtaElFFFMgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAIyMHpXNkP4RlaSMFvD7nMkY5NgT1Zf8Apl6j+DqPlzjpKCAQQRkHqK0p1OS6aunuv669n+l0A9WV0DowZWGQQcgilrmFY+EbgKx/4p+VsKT/AMuDk9P+uRP/AHwf9k/L09KrS5LNap7P+uq6/wCVjWLuFFFFZDCs4f6Pr7Dol3BuH++hwfzDD/vmtGs7Vv3S2t2P+Xe4Un/db5G/Rs/hQBo0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWbcf6Zq8Nt1itQJ5PdzkIP/Qm/Ba0WZUQsxAVRkk9hVDR1ZrNruQESXbmcg9QD90fgoUfnQBoUUUUAIzKilmYKoGSScACuat93im7jv5VI0WBw9pEw/wCPpx0mYf3B/AO/3v7uC8Y+KL+XToyf7Htn23kg6XMg/wCWI/2R/Ge5+X+9XQgBVCqAAOAB2rqX7iP95/gv83+C89s5SvoLVe4ufJKxxr5k7/cTP6n0HvRcXJjYQwqHuGGQvZR/eb0H86W2thAGZmMkr8vIerf4D2rlvfRFKKiuaX3f10Et7byS0kjeZO/33x+g9B7VYooppWIlJyd2FFFFMQUUUUAVtQuDaadc3A5aONmA9SBwPzp1jbi0sLe2Bz5Uapn1wMVW1f54be3/AOe9zGv1AO8/oprQoAKKKKACsPW/+Q54a/6/pP8A0mmrcrD1v/kOeGv+v6T/ANJpq3w/xv0l/wCksTNyiiisBhRRRQAVTtP9Hnksz90fvIv90nkfgf0Iq5VW+jby1niGZYDvAH8Q7r+I/XFS+5pT1919fz6FqimxyLLGsiEMjAMCO4NOqjNqwUUUUAFFFFABRRRQAVn6sjJDHexgmS0bzMDqydHH/fOT9QK0KOtACKyuiupBVhkEdxS1naT+5imsT1tZNi/9czyn5A4/4Ca0aACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKgms7edt0kKlx0cDDD8RzU9FK1xqTi7plT7LPF/qLtwP7sw8wfnwf1o8+6i/wBda7x/egbP6HB/LNW6KVuxftL/ABK/9eRXjvraRwglCyH+CQFG/I81YpkkUcyFJEV1PUMMiq/2BE/495ZYPZGyv/fJyPyo1C0Htp+P9fcW6KqZvouohuF9sxt/UH9KP7QiTi4SS3P/AE1XC/8AfQyP1o5l1D2Un8Ovp/luW6KajrIoZGDKehU5FOqjMKKKKACiiigAooooAKKKKACiiigAooooAbJGk0TxSorxupVlYZDA9QR6VgWMsnhq9i0q6dn0udtlhcOcmFu0Dn/0Anr908gbuhqve2VvqNlNZ3cQlgmXa6HuP6H37VrSqJXjP4X/AFdef/DBtqXKKwNGvrmzvToWqSmS4RS9pdN/y9RD1/6aLwGHfhu5A36ipTdOVn/w6NU7oKr31t9ssLi2zjzY2TPpkdasUVmMrafcG7062uDwZYlYj0JHIqzWdo/yQXNv/wA8LmRfoCd4/RhWjQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZ+skyWa2in5ruRYOP7p5f/x0NWgAAAAMAdqzn/f6/En8NtAZD/vOdq/or/nWjQAVha1e3F1dLoemytHdSpvubhetrCeNw/22wQv0J/hwbetar/Zdmpii8+9nfybW3zjzZD0GewABJPYAmmaNpf8AZlowll8+8nbzbq4IwZZD1PsAMADsABXRSioR9rL5L9fRfi/mRJ9EWrKzt9OsobO0iWKCFQqIvYf57024uWEgt7cB5yM89EHq3+HeknuHMv2a2wZsZZjysY9T7+gqW3t0t4yq5JJyztyWPqawlJybY1FRV5fcJb2y26nBLyMcvI3Vj/ntU1FFGxDbk7sKKKKYgooooAKKKKAM+5/ea1Yx9o0lmP14Uf8AoZrQrPi/ea/ct2it41H1ZnJ/ktaFABRRRQAVh63/AMhzw1/1/Sf+k01blYet/wDIc8Nf9f0n/pNNW+H+N+kv/SWJm5RRRWAwooooAKKKKAKdr/o9zJaH7hzJF/uk8j8D+hFXKq3sbtEs0QzNCd6gfxeq/iM/pU8UiTRJLGco4DKfUGpWmhpP3kp/f6/8H/MfRRRVGYUUUUAFFFFABRRRQBnzf6PrdvN0W5jMDf7y5Zf031oVn6yMaa1wB81syzjHohyfzGR+NaAIIBByDQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBWfT7ZmLrH5bnq8RKE/XHX8ab5N5F/qrlZR/dmXn/vpcfyNW6KXKi/ay66+pU+1yx/8fFpKo/vR/vF/Tn9KlhuoLjIimRyOqg8j6jqKmqKa2guMedCj46FhyPoe1LUd4PdW9P+D/mS0VU+xyR/8e91Kn+y58xf15/WjzbyL/WW6TD+9C2D/wB8t/jRfuHIn8L/AE/r7y3RVVdQtiwR3MTnosoKE/TPX8KtU00yZRlHdBRRRTJCiiigAooooAKKKKAKGraWmq2Yi8xoZ42EtvcIPmhkHRh/IjoQSDwaboeqyahDLb3kaw6laMI7qFTwD2dfVGHIP1B5BrRrG1qwuBPDrGmIG1G1UgxZx9pi6tET691PZvYmt6bU4+yl8n2f+T/Dfvdp2Zu0VW0+/t9UsIb20ffDKu5SRgjsQR2IOQR2INWa55RcW090amfbfu9bv4u0iRTD6nKH/wBAFaFZ8v7vxBbHtLbSKfqrIR/Nq0KQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBn6d+9vNRuP704jX6IoH/oRark88VtbyTzyLHDEpd3Y4CqBkkn0qnonOlRS/wDPZnm/77ct/WszUP8AioNY/spedOsmWS+PaWThkh+g4dv+Ajua1pU+eWuy1fp/Wi8xN2QujQy6neN4gvY2RpUKWMDjBggPOSOzvgMfQbV7HOnNPJJKba1I8wf6yTGRGP6t7fn7ks0k8rW9s2NvEk3ZPYerfy/Ss2WIeH71buHP9n3DhLpCc+W5wFl57HgN+B7HM1qrnK+y/Jf1v95L/drmlv8A1q/8v032YII7ePZGD1ySTkse5J7mpKCQBknAFc6/iGd9Bn16CFDYRBpERgd80Snlgc4XIBIGDxjOM8Q5KJnOet5HRUVBa3K3cbSRj93vKo2fvAcE/nkfhU9PcNwooopjCiiigAooooAz7D5r/U5P+m6oPoI0P8ya0Kz9J5ju3/vXUv6Nt/8AZa0KAYUVm6xr2m6DAk+qXJtoXO0StGxQH3YAgde+K0qACsPW/wDkOeGv+v6T/wBJpqt6Vrum62JW024NxHExRpFjbZuBwQGIwSD6E1U1v/kOeGv+v6T/ANJpq3w/xv0l/wCksTNyiiisBhRRRQAUUUUAFU7b/RrqS1P3GzLF9CfmH4E5/GrlVr2J3iEsQzNCd6D19R+IyKT7mlNr4X1LNFMilSeFJYzlHAYH2p9Mzas7MKKKKACiiigAooooAbJGssTxuMq4Kkexqno8jSaPa7zl0QRuf9pflP6g1erP0r5PtsP/ADyun/8AHsP/AOz0AaFFFFABRRRQAUUUUAFFFFABRRRQAUVieIvFNj4Xjt5tSiuFtZpVi+0IoZI2Y4G7nIHvjFWtW1ZdJjgkazu7kTSiIC2VWIYnAyCRwfXoO+KANGimoxeNWKMhIBKtjI9jjinUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjKrqVZQynqCMiqv9nwrzAZLc/wDTJsD/AL56fpVuik0mVGco7Mqbb6Lo8Nwvow2N+YyD+Qo+3rH/AMfEM0Huy7l/Ncj88VbopW7Fc6fxL9P+B+AyKaOZN8UiSL6qcin1XlsbaV97RASf30JVvzHNZj3z2xhaOaZraWURJLOishZjheQQ2CeAcHqO3NDlbcTUO9vX/gf8A26KozX8lnDJNeW5SKNSzyxtuVQBkk9D+hqaC+trggRTKWIzsPyt+R5o5lsDpyRYoooqiAooooA5+Yjw3rJuxxpWoygXA7W9weFk9lfhW9G2nuxrpKrXNtDeWsttcxrLBMhSRGGQykYINZegXM1tNLoV9K0lzaqGgmc83FueFYnuy/db3AP8QreX72HN9pb+a7/LZ/LzKi7aF3UPk1DS5P8Apu0Z+hjc/wAwK0Kz9W+VLR/7t3F+p2/+zVoVzGgUUUUAFFFFABRRRQAUUUUAFFFFABWZr2u2nh3TDe3e9yzrDDDEMyTyscLGg7sT/j0FadcN4rhL/EfwRLc/8eCSXQGfufaDEPLB98b9vuKAN2J/EzWhupV02KTaXFgEd2/3DNuAyfXZgH1p2h6vcap4RtdZuYFt5Lm2+0iIHOxWBZAffaVz756Vo3t4tpGuF8yeRgkUQOC7f4DqT2AJrN8U6tpvh/wveXN9cw2duIWiQscAsVO1VHc+woAiur+XSPDWn29miyahPHHbWkbdC+37x/2VALH2U96fptkLOyTTbOV2VCTc3bfekkJy5z3Ykkk9Bn8sfw/OPFNy2u28udP2G2spFP8AyyBw5X0Z2Xk9lVRwc46+ONIo1jjUKijAA6Ct6jUYqlH1fr2+X538hNqOr3EiiSCJY41CovQCkuIIrq2lt50DxSoUdT0IIwRUlFY26GT13MrRXe40l7S6YvNbM9pMxPL7eAx92Uq341XHh+X/AIRs6E14BafZzbB1i/eFMYHfGcdeOfap7L914m1aEdJIre4/E70P6RLWtURimtfQzjFNa+hXsYHtbOKB2RjGoUeWm1QAMDAyasUUVaVi0rBRRRTGFFFFABRRRQBn6N/yDy3964nb85XNaFZ+i/8AIKiPqzn/AMfNaFAHHfEOy/tjQL7TQMldOurkY/viMogP1Lsf+A1Nc+IEk8ER6m5DQjS1v7k56p5e4L9WII+mehxWnb6Vf/2vf3V7fW1xa3UKwrBHamNkVSxGWMhz9854HbpWFdeApn8BweFLTVkitxFHFcTzWxleYJt44dQoIULjnjj3oGafgPTH0nwLo9rNnzzbiabPXzJPnf8A8eY1Nrf/ACHPDX/X9J/6TTUmp+LdD8OTWdlrmsWdteXCjYrZQN23Yydq5B5Jx70ut/8AIc8Nf9f0n/pNNW+H+N+kv/SWSzcooorAYUUUUAFFFFABRRRQBTg/0a8ktj/q5Myxf+zD8zn8farlVr2J5IQ8Q/fRHfH7kdvxGR+NTQypPCkqHKuARUrTQ0n7yU/v/rz/AMx9FFFUZhRRRQAUUUUAFZ9n8uraknq0cn5pt/8AZa0Kz4ONfvR628B/8elH9KANCiiigAooooAKKKKACiiigAooooAwNY0u38RXl5pd2ubb+z2ikHr5xxkehURf+PVheCNUudUtNN0rUGzqWiSTQXp7mSICNCfZ1k3Z7kGr2mavoOneLbzSH8VSXmr3Th2tLhosqwUABdiLg7VHy59TjJJrdtNEsbHWdR1W3i23eoiIXDdm8sEKfyP6UDNGiiigQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAVdRZlsZFRirykRKwPKliFz+Gc/hWRexSRa5pMFxMJ7aWd/KtxGFETIhZWyOoXGMHuQe1ad9bNdz2sWXREYzGROzKMKPTq2ef7tOi06NL0Xk0kk9wqFEaTGI1OMhQAAM4GT14HNZyTbM5JyZU8SDzNJFoP+XueK3I9VZwH/APHd1Mu4Y77xPawSxrJFbWrzMrDI3OwVT+SyfnUmr/NqWhx9jesx/CCU/wA8UWXz+JtWk7rFbxflvb/2ek9Zf16iu+fTuvw1Lf2Hy/8Aj3uJof8AZ3b1/Js4/DFG++i+/FFOvrGdjfkeP1q3RV27HT7Rv4tf677lQajADiYvA3pMu0fn0P51aBDAFSCD0IpSARgjINVTp9vktErQMe8LFPzA4P4ijUP3b8vx/r8S1WTrthPcwRXtgB/aVkxltsnAfjDRsf7rDj2OD2FW/LvYvuTRzr6Srtb/AL6Xj9KPtrR/8fFtNF/tKN6/mvP5gVdOq4SUkHs2/hd/6+8pz6hBqvh62v7YnypJ4HAYYZSJlypHYgggjsQa26888R67pfhOaWe4vYY9K1SVXyGz5VyrKWOBzh1GT6Mv+1XcJqVlLpQ1OK5jksjF54nRsqUxncD6YqqsYqV4bPVf15bDV+pzmkazr2s61rtpDNpqW2mXK2yTm1dvNfYHYY8wY27gO+fatHQ9ek1DU9U0i9gSHUdNaPzBExaOSOQEo6kgEZwQQehHU8Gsf4dsll4Aj1rUZEt21KSbVLmSVgqr5rlgST0Gzb+VSeDbG4utc17xXcxyQrq0kcdnDIpVlt4gVVyDyC5JbB7EVkM7GiiigAooooAKKKKACiiigAqC7s7W/tntry3iuIH+9HKgZT6cGp6KAKlppllYMzW1uiOwwX6sR6ZPOPauF+LWgxeL9KttBWVo7mIvqBlAyIo40YZI77mYKB9T/Ca9AubiG0tZbm4kWOGFDJI7dFUDJJ/Cue0u0mudK1DVLyNkvNUQuY2HMUW0iOP8FOT/ALTNW9KC5XOWy0Xq/wDLf7u5MnYxvDvww0nQtBtbGKead4wWaWQkB2JyTtUjHpwa1P8AhFdOi/1uleaP70NzJn/vlmH8zW/YP5unW0n96JG/MCrFJV60VaM2vmxc/dJ/15HNJ4f8NMwRrZonPRZZpUJ+mW5/CrP/AAiGhf8APk3/AH/k/wDiq2nRZFKuoZT1BGRVb+z4k5gaS3P/AEybA/75OR+lV9axH87+9ham/L8TN/4Q3QQ5f7CdxABPnSZx/wB9e5pf+EQ0L/nyb/v/ACf/ABVaOL6Lo0NwvvmNvz5B/Sj7eif8fEUsHu65X/voZH50vrdZfbf3sPYv7Ovp/luZ3/CIaF/z5N/3/k/+KrOg8MaRJ4jvrc2rGCK1gZV8+TAdml3H73oFrqo5Y5kDxOrqe6nIrGtLhIbjX9Tf/VRSbAfVY4wT/wCPFx+FKWKrXXvv732MZqzVzO0LwxpF3pEU81qzu7yHcZ5Om9sfxemKsTeGNHE5gt9N8yQLuYvdSKqg9Ocnk4Pbt9M6ug272nh/T4JP9Ylugf8A3toz+uapXMKXOl3l819cWq5mkMkEm0bVG0H8kB/E0lisQoL3397JWkUVdM8PaBqVhHdLp7JuLKV+0SHDKxU4O7kZBwe9W/8AhENC/wCfJv8Av/J/8VV3QyzaDp7Nbrbs1tGzQoMBCVBIA9jV+qjiq9leb+9lxV4q5h/8IhoX/Pk3/f8Ak/8AiqP+EQ0L/nyb/v8Ayf8AxVblFV9ar/zv72OyOV0jwnokmmRM9mxbLAnzpOzEf3qvf8IhoX/Pk3/f+T/4qrmi/wDINA/uzTL+UjCtCj61X/nf3sLIw/8AhENC/wCfJv8Av/J/8VR/wiGhf8+Tf9/5P/iq3KKPrVf+d/ewsjy7xf8ABDR/FOr219Df3GniNBHNGi+b5igk8Fj8p59x7U4eEZLDWNIsb+3iuUNyyQXSTMqyAQSnDpnKkBexIOc5HK16fWHrf/Ic8Nf9f0n/AKTTVeHqT9o2pO7Uur7MpSaRU/4RrSYv9fo8uP70NxJIPy3A/pUkPhzw1O22OAFx1QzyBh+BbNWNTs9ZhvDqOj3glO0CXTrpv3UoHdGAzG3vyp7jvV+DbqVjFLd2DQuwy0FwFZoz6ZBI/EGsvrOI/nf3sr9291b0/wCD/mZ//CIaF/z5N/3/AJP/AIqj/hENC/58m/7/AMn/AMVWj9iMf/HvczRf7Jbev5Nn9CKPMvovvwxzr6xNtb/vk8frR9br9Zv72Hs4v4Wvy/4H4md/wiGhf8+Tf9/5P/iqP+EQ0L/nyb/v/J/8VWiNRtwQsrNAx7TKV/U8H8DVoEEAg5B7imsXWf2397JlTcd0Yn/CIaF/z5N/3/k/+Ko/4RDQv+fJv+/8n/xVblFP61X/AJ397JsjD/4RDQv+fJv+/wDJ/wDFVXHhbRlv2hltCVkXdEfOcYxwV+99D+J9K6Sq95C0sG6L/XRnfH9R2/EZH41LxNffnf3s0p2vyvZmX/wiGhf8+Tf9/wCT/wCKo/4RDQv+fJv+/wDJ/wDFVsQTLcQJKmdrjIz1HtUlV9ar/wA7+9kONnZow/8AhENC/wCfJv8Av/J/8VR/wiGhf8+Tf9/5P/iq3KKPrVf+d/exWRh/8IhoX/Pk3/f+T/4qj/hENC/58m/7/wAn/wAVW5RR9ar/AM7+9hZGH/wiGhf8+Tf9/wCT/wCKqjD4T0Q65dp9jbatvCQPOk6lpM/xfSuqrPtfm1nUG9FiT8gT/wCzUfWq/wDO/vYWRT/4RDQv+fJv+/8AJ/8AFUf8IhoX/Pk3/f8Ak/8Aiq3KKPrVf+d/ewsjD/4RDQv+fJv+/wDJ/wDFUf8ACIaF/wA+Tf8Af+T/AOKrcoo+tV/5397CyMP/AIRDQv8Anyb/AL/yf/FUf8IhoX/Pk3/f+T/4qtyij61X/nf3sLIw/wDhENC/58m/7/yf/FUf8IhoX/Pk3/f+T/4qtyij61X/AJ397CyMP/hENC/58m/7/wAn/wAVUNx4Y0C3QZsXZ2OERZ5MsfQfNW3cXIgCqFLyvwkY6sf6D3pLe2KMZpmD3DDBYdFH91fb+dJ4qvspv72aRhFLml/w55DbfCHSn+K8t5Lcy+RFCmoNaKTje7uAu/OdoKE+pr0r/hENC/58m/7/AMn/AMVWuLaFbp7oRIJ3RY2kx8xVSSAT6As35mpamFapD4ZNfMmTu7mH/wAIhoX/AD5N/wB/5P8A4qj/AIRDQv8Anyb/AL/yf/FVuUVf1qv/ADv72TZGH/wiGhf8+Tf9/wCT/wCKo/4RDQv+fJv+/wDJ/wDFVuUUfWq/87+9hZGH/wAIhoX/AD5N/wB/5P8A4qj/AIRDQv8Anyb/AL/yf/FVuUUfWq/87+9hZGH/AMIhoX/Pk3/f+T/4qj/hENC/58m/7/yf/FVuUUfWq/8AO/vYWRh/8IhoX/Pk3/f+T/4qj/hENC/58m/7/wAn/wAVW5RR9ar/AM7+9hZGH/wiGhf8+Tf9/wCT/wCKo/4RDQv+fJv+/wDJ/wDFVuUUfWq/87+9hZGH/wAIhoX/AD5N/wB/5P8A4qj/AIRDQv8Anyb/AL/yf/FVuUUfWq/87+9hZGH/AMIhoX/Pk3/f+T/4qj/hENC/58m/7/yf/FVuUUfWq/8AO/vYWRh/8IhoX/Pk3/f+T/4qj/hENC/58m/7/wAn/wAVW5RR9ar/AM7+9hZGH/wiGhf8+Tf9/wCT/wCKo/4RDQv+fJv+/wDJ/wDFVuUUfWq/87+9hZGH/wAIhoX/AD5N/wB/5P8A4qj/AIRDQv8Anyb/AL/yf/FVuUUfWq/87+9hZGH/AMIhoX/Pk3/f+T/4qj/hENC/58m/7/yf/FVuUUfWq/8AO/vYWRhHwboJKk2JJXkEzScf+PUDwboIYsLEgt1PnSc/+PVu0UvrNb+d/ewsjD/4RDQv+fJv+/8AJ/8AFUf8IhoX/Pk3/f8Ak/8Aiq2J7iG1hMs8ixxjA3Me54A+vtUcF9bXBkVJMNGQHR1KMpPTIODz29aPrdbbnf3sWmxzVr4Y0hte1G1ktmKJHDJGvnyfKG3A/wAXqhrR/wCEQ0L/AJ8m/wC/8n/xVS3Z+x+I7G6PEV1G1o5/2x88f8pB9WFa9TDFV9Vzv72KKWqMP/hENC/58m/7/wAn/wAVSHwjoKgk2ZAHJJnk/wDiq3GZUQu7BVUZJJwAKphW1Ah5FK2o5VCMGT3b29vzqni6/wDO/vZrGCer2POPHfwy0vxVpUMtrJJp4tnHlS5aXzdxUH5WbgdMH+ldR4O0TTV8E2/hu9s4bkaYxtriC5QSKZBk7sMOjBtw9mxW5rP/ACDsf3poV/OVRVHUz/Y2t2+tLxaz7bS+HYAn91J/wFm2n2fP8NFNe1bjLWT2fn2+f52G566bF6Dw1oNs0TQaJpsTRY8sx2qKUx0xgcVqUUVzlhRRRQAUUUUAFFFFABRRRQAUUVHcTxWttLcTuI4YkLu7dFUDJJ/Cmk27IDC1w/2rqlpoK8w8Xd9/1yU/Ih/33H4qjjvW7WL4bgka0m1W5Qpd6m/2h1brGmMRx/8AAUxn/aLHvW1XRXai1TW0fz6/5eiRi3d3M/RONFtE7xJ5R/4B8v8AStCs/S/3Zvbf/nldOR9HxJ/7Oa0KwBhRRRQAUUUUAV5LG2kcuYgsh/jQlW/Mc1mXOgs2lXGn212VgnZjIsq7id7FnGRg85PXPWtuipcEynNtWepQnu7uG3kJsmMgQ7DE29Scceh/Sq9tYaVLDHaq/mpHj9w8jYyO5Qn155HXmteo5reG4XbNEkg9GXOKTiN+zl8S/r5/5klFVPsRj/497maL/ZLb1/Js/oRR5l7F9+GOdfWJtrf98nj9ad+4+RP4X+n/AAPxLdFVRqFuCFlLQMe0ylf1PB/A1ZBBAIOQe4pppkyhKO6KGkcW9wn926m/WQt/WtCs/TvlutSj/u3WR9DGh/mTWhTJYUUUUAFYet/8hzw1/wBf0n/pNNW5WHrf/Ic8Nf8AX9J/6TTVvh/jfpL/ANJYmblNdSyMoYqSMbl6j3FOorAZz9nc63pV3FZanE2pWsjBItRt4wHUnoJox0/3149QtdBRVHVY9Ta3R9Kmt0uI23GO4UlJRj7pI5X/AHhnHoelAF0gMCCAQeoNVTp1uCWhDQN6wttH5dD+IqDSdWbUhLFPY3NleQYE0Ey8DOcFXHyupweQfqAeK0qTSZUZyjsypsvovuSxTr6SDY35jj9KPt3l/wDHxbzRf7W3ev5rn9cVbopW7Fc6fxL9P+B+BHDPDcLuhlSQeqsDUlQTWVtO2+SFS/8AfHDD8RzUf2W4i/1F2+P7sw3j8+D+tF2HLB7O3r/wP8hIv9Gvnh6RzZkj9m/iH9fxNXKzLxrwwfNa5kjIeN4W3AMPUHBwenGetWLbUrW6Vdkqq7D/AFb/ACsD6YNJNXsXUpycVNa97aluiiirMAooooAKz9N+e41GX+/dED6Kir/MGtDpWfouTpMUp6zlp/8Avti39aANCiiigAooooAKKiuLq3tI/MuJ44k/vOwUfrVT+1RL/wAelndXP+0I9i/m+M/hmgDQqC4ufJKxovmTv9xAf1PoPes+e81YyLFFBaRyvyFZ2kIHq2AoA/E06HS71Gd5NVk8xzl3ihQE+3zBsD2qb30RooqPvS/r/gF23tvKLSSN5k7/AHnx+g9BVis/+y2P39Rvm/7aKv8A6CBR/ZKf8/l9/wCBLU0rEyk5O7KWlSPJ4r8QZdikf2eNVJ4H7sscD/gVbtZiaKkUkkkN5dxSSkF2VlJYgYBOVOeABz6U/wCxX6f6vVXb/rvCjf8AoIWmSaFFZ+7V4usdncj/AGWaI/kd386P7V8r/j7srq3/ANrZ5i/mmcfjigLGhRUNvd293Hvtp45V7lGBxU1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAYWsQSv4g0Wd0drGAzO+1SwWXaAhYDtgvg9iRVZoZJ/Gwu2huFsntI0BMRAkkSRiM+gG/PIGcccCumorN07u/zM3Tu7+dypqdiupafLbM5jZsNHIOsbg5Vh7ggH8Kh03VBc2TtdBYLq2Pl3UZPCOB1H+yRyD3BFXpZUhiaSRgqL1JqhHp8d1qA1KeHZIE2InQlQcguOhIPT0yfWm97o1VPXnexKkb3riWZSsAOY4iOW/2m/oPz56XaKKpKw5S5vQz9X5gt0/vXcP6OG/pVq7tYL6zmtLmMSQTo0ciHoykYIqrqPzXWmx/3rnJ+gjc/zArQpptO6JMnw3eTSWc2n3khe+06T7PK7dZFxlJP+BKQT77h2rarntV/4lWuWWsjiCXbZXnptZv3Tn/dc4+khPauhrWuk2qkdpfn1X9dGjSLugooorAoKKKKACiiigAooooAK5/xF/xMbqx0FeUum8+7/wCveMglT/vMUX3Bb0roK57w+RqFzf663IvJPKtj6W8ZIUj2Zi7/AEYeldFD3b1f5dvV7fdv8iJvSxu0UUViQZ6fudflX+G5tw4/3kOD+jL+VaFZ+qfuWtLztBMA/wDuP8p/IkH8K0KACiiigAooooAKKKKACiiigAooooAQgMCCAQexqsdPtwSYQ0DesLbf06H8RVqik0mVGco7MxoFu7fWbyON0mLRRSHzflLfeXqBj+Edu4q99uMf/HxbzRf7QXev5rn9cVFL+7162btLbyIfqpUj9C1aFK3YrnT+Jfp/wPwI4Z4bhd0MqSD1VgakqCazt523SRKX7OOGH4jmo/ss8X+ou3x/dmG8fnwf1p6hywezt6/8D/It1h63/wAhzw1/1/Sf+k01aP2i6i/11rvH96Bt36HB/LNZGqXUVxrnh0RsdyXshZWUqVH2aYZIPuQPxrbDyXO/SX/pLJlTla6V/TU6KiiisiQooooAKwtR1XU9HvpJ7qyF1o7YIms0ZprbjkvHyXXOTuTkf3eM1u0UARW1zBe2sV1bSpNBMgeORDlWUjIINS1HP532eT7Ps87YfL8zO3djjOOcZrH03xEs94um6pbNpuqkHbBI25JgOpik6OPbhh3AoA3KKKKACqBhjS8e3ljR4LjLoGXID/xD8ev51fqC8gae3IQgSoQ8ZPZh0/w+hqWjSnKzt3I/7PWP/j3mmg9lbK/98tkflijN/F1WG4X1UlG/I5B/MVNbzrcW6SqCNw5B6g9wfoeKlosug3Uknaevr/nuVP7RhTidZLc/9NVwP++vu/rVpXV1DIwZT0IORS1VbTrYsXRDE56tCShP1x1/GjUX7t+X4/1+IzV5Wi0q42HEjr5cf+8x2r+pFWoolhhSJBhEUKo9hxWReRXTX9napcCcKTcFZQBwmAMkD1Ydu1Xvtskf/HxaSp/tR/vF/Tn9KL9w9m38LuXKKpvqtjHF5huUbnAVfmYn0Cjkn2qHyr3UOZmeztj0iRv3rj/aYfd+g59+1O5Di07MmuNTghlMCB7i5/54wjcw+vZfqSKi8rUrvmaZbOM/8s4MO/4uRgfgPxq5b20FpEIreJI064UYyfU+pqWmIqW+mWdtJ5qQhpv+eshLuf8AgRyadcXLK4gtwHuGGeeiD1b/AA70k9w5l+zW2GmxlmP3Yx6n39BUlvbpbRlVyzMcu7dWPqanfRGiSiuaX3Bb2y26nkvI5y8jdWP+e1TUUU9iG3J3YUUUUxGB4ZYvc6/ISTu1RwM/7Mca/wDstb9MjjjjDeWiqGYs20Yye5PvT6ACiiigCpcabZ3T+ZJCBL2lQlHH/Ahg1D5Go2nMFwt3GP8AlncfK/4OB/MfjWjRQBSg1OGWUQSq9tcHpFMME/7p6N+BNXaiuLeG6iMU8SSRn+FhkVS8m90/m2Zru3HWGRv3ij/ZY9fo350AaVFQWt5BeRloWyVOHRhhkPowPINT0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRzTRwRGSRsKPzJ9B6miedLePfITjOAAMlj6AdzUMMDySi4uQN4/1ceciMf1b3/L3TfRFxirc0thIoZJ5VuLlcbeY4v7nufVv5frVuiihKwpScmFFFFMkz7j59csU7JFLIfr8ij/0I1oVnxfvNeuW7RW8aD6ksT+gWtCgCvf2UGpafcWVyu6C4jaNx7EY/Oqfhu+nu9K8m8bdf2UjWt0f7zr/F/wACUq49mFalYcv/ABK/F0M44ttVj8iT0E6Ash/4Em8H/cUVvT9+EqfzXy3+9fkhxdmdBRRRXMahRRRQAUUUUAFFFFAGL4ouZotH+yWrlLu/kWzgYdVL/ecf7qB2/wCA1o21tDZ2kNrboEhhRY40HRVAwB+VZGf7S8ZsesGkwbR6GeUZP4rGB/39NbldNT3IRh8389vwt97MpO7CiiisBEV1bpd2s1vJ9yVCh+hGKh0y4e50+Npf9cmY5f8AfU4b9RVus6P/AEPWnj6RXi+YvtIoww/FcH/gJoA0aKKKACiiigAooooAKKKKACiiigAooooAz9T/AHclhcf887lVP0cFP5sK0KpavE02k3KoMyKhdP8AeX5l/UCrUMqzwRyoco6hlPsRmgB9FFFABWDryLJrHhyORQyNfSBlYZBH2aY8it6sPW/+Q54a/wCv6T/0mmrbD/G/SX/pLC7WqNH7Aqf8e800HsrZX/vk5H5UZvouqw3C+qko35HIP5irdFc9uxp7Vv4tfX/Pcqf2hCnE6yW5/wCmq4H/AH0Pl/WrSurqGRgynoQcilqs2n2zMXRPKc9WiJQn646/jRqHuPy/Es0VU8m8i/1dwso/uzLg/wDfS/4Gj7ZJH/x8Wsqf7Uf7xf05/Si/cPZt/C7lumvGkhUuisUO5cjOD6j3pkN1BcZ8mZHI6gHkfUdqlpkNNOzM7VtRudMjjni06a8twT5/2c5ljXsyp/GPUA59AelT6fqVlq1ml3YXMdxA3AdDnBHUH0I7g8irVQw2dtbzTzQ28Ucs7BpnRADIQMAsR1OOOaYiaisf/hIraHWTpl/FLZTSPttZJwPLuv8AccHG7/ZOG9iOa2KAKaf6LqDR/wDLK4yy+zjqPxHP4GrlQXcBntyqHbIpDRt6MOlOtpxc26SgFSRyp6qRwR+B4qVo7GkveipfJ/p/XkS0UVU1K5e2smMWPPkIjhB/vtwPwHU+wNUZkOn/AOkXt5e9VLeRF/upnJ/76LfkKkur5km+y2kYmuyM7c4WMf3nPYe3U1XDNCkelaaRviQLJMwyIhjqfVz1x+J971pZxWUPlxA8nc7scs7dyT3NAyrFpEBYzXmLq6brK4xt9kH8I+n4k1L9jli/497uVB/dk/eL+vP61copWRSqSWlyn517F/rbZZR/egbn/vlsfzNeeaJ8Y7PxJ44k8LWenT27M8kcN3K2dxQMWJTHHCnGT9cV6VcSmC3eVYnlKjOxCoJ+m4gfma4zw7H4Wuo7jxto/ht4pbhWk+0mNEeYEneygvgdCSTtz70WHzrex2cFvHbRbIweuWYnJY+pPc1LWXoGuweI9Ki1O0trmK0nUPC86qpkU9wASQPritSghtt3YUUUUxBRRRQBgeDOfDpf/npfXsn/AH1dSt/Wt+mxmMxq0RUoRkFehz3p1ABRRRQAUUUUAFFFFAFO7sEuHE8TmC6UYWZBzj0YfxD2P4YptrfOZxaXiCG6xlcfclHqh/mOo/Wr1QXVpDewGKZcrnIIOCp7EHsfegCeis+2upra4Wyvm3O3+pnxgS+x9G9u/UdwNCgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKiuLhLeMM2SScKi8lj6CkuLhbdRkF3Y4RF6saZb27CQz3BDTkY46IPRf8e9Jvoi4xSXNLb8xILd2k+0XODNj5VHKxj0Hv6mrVFFCVhSk5O7CiiimSFFFMmlWCCSZzhI1LMfYDNAFLS/3kl/cf8APS5YD6IAn81NaFUtIiaHSbZXGJCgd/8Aeb5m/UmrtAMKzdesJdR0aeG3IW7TE1sx6LMhDIfpuAz7ZrSoqoTcJKS3QEGl6hHqulWt/ECqXESybT1UkcqfcHg/SrdYGh/6BrOq6QeIxIL63H+xKTvA+kgc/RxW/TrwUJtR23Xo9Uaxd0FFFFZDCiiigAqOeeO2t5J5nCRRIXdj0AAyTUlYHiwm40630lfvapcpasP+mXLy/wDkNHH1IrSjD2k1F7fp1/ATdlcd4XhkXREu7hCtzfu15Mp6qZDkKf8AdXav/Aa2aOlFOpPnm5dzIKKKKgAqnqVs9zaZhwLiJhLCT/fHb6HkH2Jq5RQBDaXKXlrHcR52yLnB6j1B9weKmrNj/wCJfqjRHi2vGLp6LL1Yf8CHP1DetaVABRRRQAUUUUAFFFFABRRRQAUUUUAFZ+jfJp/2Y9baRoMeyn5f/HdtaFZ8P7jXLmLotzGs6+7L8jfpsoA0KKKKACsPW/8AkOeGv+v6T/0mmrcrD1v/AJDnhr/r+k/9Jpq3w/xv0l/6SxM3KKKKwGFFFFABRRRQBFNawXGPNhRyOhI5H0Paofsckf8Ax73Uqf7Mn7xf15/WrdFKyLVSSVr6FTzryL/WWyyj+9C3P/fLf4mnJqFszBGk8pz0WUFCfpnr+FWaR0WRSrqGU9QRkUrMfNF7r7iC9sbTUrOS0vbeK4tpRh45VDKw+hpJnXTtOZoreaZYI/lhi+Z2AHQZPJ+ppv8AZ8KcwNJbn/pk2B/3yeP0oxfRdGhuF/2gUb8xkH8hRd9Q5Iv4X9+n/A/Ebper2Os2n2mwnEqBirrgq8bDqrqeVYehANKv+i6gV6RXPI9pAOR+IGfwNUmttOXV01Wezltb5V2NMMgSLjGHKnawHUbunbFLqur6bEtvDPdrCblsW9wQfKEgI2gv90EnoCRnkDNDd9ioxcX7y0ZsVz93cy3+u/ZrMjfbAgORkRs3DOfUgfKB3Jb0NW7zVjFpqvAm69mPlRQd/M5BB9hgkn0FTaRpiaXZCIN5kznfNKesjnqae5m04uzLNraxWdusMQOBySTksT1JPcmpqKKZIUUUUAc18QdTfSPAWs3UWfPa3MEOOvmSERrj8WFc34mh1jwr8KX0yCSxO2zj02ERo4dmfEQIOevzZrrfEXhiLxKtqlzqN7bw288dwsVv5e1pEbcpbcjEjOOM44HFM13wtH4gaw+06pfxrZTx3MaQ+UA0qZKu2Yznr06e1A0aml2EWlaRZadD/qrWBIE+iqAP5VbpFBVQCxYgYyep/KloEFFFFABTXYIjOeigk06mySJFG0kjqiKCzMxwAB1JNAGH4JQx+A/Dyt97+zbct9TGpP61vUilWUMpBUjII6EUtABRRRQAUUUUAFFFFABRRRQBDc20V3btDMuUb0OCD2IPYj1qtZ3Msc5sLxszqMxy9BMnr/vDuPx6Gr9Vr6zF5AFDGOVDvilHVGHQ/wBCO4JFAFmiqlhdm6hYSoI7iJtk0f8Adb29j1B9DVugAooooAKKKKACiiigAooooAKKKKACoLi5EAVQpeV+EjHVv8B70XFz5JWONfMnf7iZ/U+g96S3tvKLSSN5k7/ffH6D0HtSb6I0jFJc0v8Ah/8AgBb2xjYzTMHuGGC3ZR/dX0H86sUUUJWIlJyd2FFFFMQUUUUAFZ+s/PYfZh1uZFgx7Mfm/wDHd1aFZ837/XLeL+G2iaZvZm+Vf030AaFFFFABRRRQBh65/oOqaTq44WOf7JOf+mUxCj8pBEfpmugrO1fT11XSLuwdtouImjDDqpI4Ye4OD+FGg6g2qaFZ3ki7ZpIx5yf3JBw6/gwI/Ctp+9RjLtp9+q/UqD6GjRRRXOaBRRRQAVgH/TvGxPWLTLMAenmzNz+ISMfhJW/XP+F/9IsrvVDydRu5JwfWMHy4/wA40Q/jXRR92E5/L7/+Bcib6G5RRRWJAUUUUAFFFFAEF5apeWrwuSueVcdUYchh7g4NRafdvcRPHOAt1Cdkyjpnsw9iOR/9arlUL+CRJUv7VS08Qw8Y/wCWsfdfqOo9+O5oAv0VFb3EV1bpPC26NxkGpaACiiigAooooAKKKKACiiigArP1P9y9pej/AJYzBX/3H+U/kSp/CtCorq3S7tZbeT7kqFD9CMUAS0VU0y4e50+Jpf8AXLmOX/fU7W/UGrdABWHrf/Ic8Nf9f0n/AKTTVuVh63/yHPDX/X9J/wCk01b4f436S/8ASWJm5RRRWAwooooAKKKKACiql/qlnpqKbudUZziOMAs8h9FUZLH6CqP2nWtQ/wCPW2j06A/8tbsb5SPaNTgf8CbPqtaRpSa5nou7/rX5FKDevQ2CQoJJAA5JNZUniXSw5jt52vJQcFLONpyD6EoCB+JFNXw5ZykPqMk2pSDn/S23Jn2jGEH5ZrWjjSJFSNFRFGAqjAFV+6j3f4f5/oP3F5mT/aWrT/8AHrobRjs17crGPyTefzApfL8RS9brTLYeiwPMfzLr/Kteij2qXwxS/H87hz9kZH9m6u/39ekX/rjaxr/6EGqjfeFBeW8y3utXbROpEu6G2AZe4b91yPrXS15j8XtWM/hyXSLQKZZpo4fMxkrIzBQF9xuycc9vWk60uy/8BX+RUas0/d0+SOO8G/DfxRpfxATXIdTSHTnaUW1zL87ToQwRSh6ZXB56Y4r1Kz1bWp5bmKG+067e1kMU6JbPujYdmw+4eo+TkcjIqm2h+G9f0zUdC0y0jWe2tUQXXltGySMG2HdgNkbck+49a27rQ7TWo4L1WlsdTgXy0u7ZgssZB5Uk5Drn+FgQeuO9RGpKOit9yLU1y3auEOs6nu2vptvcEdVtLseZ/wB8SKmPzqb/AISWwiOL5LnTz3N3CyIP+2nKf+PVdvnsYLMzalJbrBHjdLcFVUEkAEk8Dkik+xbRm2uZYweilt6n8Gz+hFV7SD+KH3Nr87ivSl0t/X9dCzDNFcRLLDKksbch0YMD+Ip9c/NoMaytNHaLFMeTPp8ht5Cfdfut/wACJpgv9V044kkS+iH8Nwot5/wb/Vuf++frT5acvhl9+n47fkHsW/gd/wCv63sdHRWdY63ZX8vkK7Q3QGTbTrskA9QD94e4yPetGolCUHaSsYtNOzCiiipEFFFFABWN4vZk8Fa86KWddOuCoAySfLatmo554baFpp5UiiX7zuwAH4mgBLaLyLWGL+4ir+QxUtFFABRRRQAUUUUAFFFFABRRRQAUUUUAZ2oKbSZdTiBPljbcKB9+P1+q9fpkd60FYOoZSCpGQR3FL1GDWbp3+iTy6a33Yx5lv7xE9P8AgJ4+m2gDSooooAKKKKACiiigAooooAKr3FyY2EMKh7hhkL2Uf3m9B/OkuLhhIILcB5yM89EHq3+Hen29utup5LyMcvI3Vj/ntU3vojRRUVzS+7+uglvbCAMzMZJn5eQ9T/gPap6KKaViJScndhRRRTEFFFFABRRRQAVn6X++e7vTz58xVP8AcT5R+ZDH/gVSancPb6fK0X+ufEcX++x2r+pqe2t0tbWK3j+5EgRfoBigCWiiigAooooAKxdCP2TWda0s8Ksy3sI/2JgS3/kRZT+IrarD1A/YvFej3vRLpZbCT0yR5iE/Ty3H/A63o+8pQ7r8tf0a+YJ2Z0FFFFcxsFFFFAGV4lvJLDw3fzwnE/klIP8Arq3yoP8AvoirNhZx6dp1rZQjEVvEkSfRQAP5VmeI/wDSb3RNO6ia+WaQf7EKmQH/AL7WP86266Je7Riu93+i/JmUtwooorEQUUUUAFFFFABRRRQBmTq2l3D3cSlrSQ7riNRnYf8Anoo/9CH4+udJHWRFdGDKwyGByCKWsplfR3MkSl9PY5eNRkwHuyj+76jt1FAGrRTUdJEV0YMjDKspyCKdQAUUUUAFFFFABRRRQAUUUUAZ0P8Aouszw9I7pfPT/fXCuPy2n860aoasji2W6iUmW1cTKB1YDhl/FSfxxV2ORZY1kRgyOAykdwaAHVh63/yHPDX/AF/Sf+k01blYet/8hzw1/wBf0n/pNNW+H+N+kv8A0liZuUUUVgMKKKo6jqkOnrGhV5rmY4htouXkPt6AdyeB3qoxcnaI0m3ZFqe4htYHnuJUihjG53dgFUepJrI+2ajrHGnIbKyP/L5On7xx/wBM4z0/3m/75NPt9Jmu50vdZdJpkO6K1TmGA9iAfvt/tH8AK2K1vCntq/w/4P5eT3K0jtqyjYaRZ6c7SxIz3LjElxMxeV/qx5x7DgdhV6iispSlJ3k7kttu7CiiipEFFFULu8kaY2Vjta5xl3IysIPdvU+g7/SgBL25klm+w2bbZiMyy4yIV9f949h+PTrwt9peo6h4g0C4tdDuptItbxrx5FlhG4JGwg2hpAxyzs5JA5PeuzvLdbPTBZQM3m3cgiMhOXYt99ifXaGP4CtVEWNFRAFVRgAdhSHexgNPqd5qsMEOiXVjbu4ku72aaHJCcqihJGYknAOQBt3dzWqf9F1DPSK54PtIB/UD9PerlQ3MAuLd487SeVb+6w5B/A0NFQkk7PZkkkaSxtHIiujAqysMgg9QRWTpugjRrw/2fdyRaayn/iXuN8cbdjGTyg/2eV9AO+jaTm4t1dhtkGVdf7rDgip6FqTJOLsxnmx+d5PmL5u3dszzjpnHpTiAQQQCD2NZuraFZ6wI3m8yG7hyYLu3bZNCT/db09VOQe4NT6ZFfwWYi1G6iup1Yjzo4vL3r2JXJAb1xx6AdKYiC+8P6ZqEYSa2C4O5TGSpVvUY6H361RaPXdETNvIdYtF/5ZzELcIPZuj/AIgH3NdDRVwqOK5d12/rY1VaW0tV5mXY67bX0HnKkoUHaxCltjdwwHKn2YCtCG4huF3QypIPVWBqhf6OtxcfbbSU2eoAYE6DIcDosi9HX68jsRUFtcw3d19i1O0S21NQSMHiVR/FG/BI9R1HcdCXKndc1N38uq/zXn99imqcldK39f11Nqiqn2WeL/UXb4/uzDePz4P60faLqL/XWu8f3oG3focH8s1jfuR7O/wu/wCH5lusLxhFJP4bmhijZ2knt02qMnBmQH9M1qx31tK+wShZP7jgq35Hmnz3MFqqNPKsYd1jUscZZjgAe5NO9yHFxeqJaKKKYgooooAKKKKACiiigAooooAKKKKACs/VgYYo79Bl7Rt7Ad4zw4/Ln6qK0KQgMCCAQeCDQAAhlDKQQRkEd6Ws/SCY7aSyYktaSGIZ7p1T/wAdI/EGtCgAooooAKKKKACqs9w5l+zW2DNjLMeVjHqff0FJNO8kptrUjzB/rJMZEY/qfb8/eaCBLePZGD1ySTkse5J7mp32NElBXlv2/wAwt7dLeMquSxOWduSx9TUtFFMhtt3YUUUUxBRRRQAUUUUAFFFNkkSKN5JGCogLMx7AdaAKE3+lazDD1jtV85/99sqo/LefyrRqhpUb/ZWuZVxLdOZmB6qDwq/goA+uav0AFFFFABRRRQAVh+LkYeHLi7jBMtgyXqY6nymDkD6hSPxrcpssaTRPFIoZHUqynuD1FaUp+zqRn2YiRHWRFdCGVgCCO4p1YvhKVn8MWUUjFpbUNaSE9S0LGMk/Upn8a2qmrD2c5Q7OxsndXCiiisxmC2Lrxz6iw0//AMemk/niD9fetqsPQv3+q6/e9Q96IEP+zHGi4/778z863K6cRpJR7Jfld/i2YvcKKKKwAKKKKACiiigAooooAKKKKAMx7ebTXaayQyWzHdJajqPVo/6r0PbB63ba6hu4RNA4dDx7g9wR2Psamqjc2DGY3VnIILo/eOMpL7OO/wBeo/SgC9RVK21FZJhbXMZt7r/nmxyH90b+Ifr6gVdoAKKKKACiiigAooooAKztM/0WSfTjwITvh94mzgfgcr9APWtGs7VFMBi1FAS1sT5gH8UR+8PwwG/4DQBo1h63/wAhzw1/1/Sf+k01bYIZQykEEZBHesTW/wDkOeGv+v6T/wBJpq3w/wAb9Jf+ksTNyiis/VNRNikcUEfn3twStvDnG492Y9lHUn+pAOUIub5UUk27IbqWptayR2dpGLjUZhmKInAUd3c9lH69BzTtN0pbJpLieU3N/MB51ywwT6Ko/hUdgPxycml0zTRYRvJJIZ7ychri4YYLt6AdlHQDsPfJN+tJzUVyQ26vv/wP+HflTaStEKKKKxICiiigAoqG5uoLOLzZ5Ai5wM8kn0A6k+wql5V1qn+vD2tmf+WIOJJB/tEfdHsOfUjpQAsl5LfSNb6cwCqdst1jKp6hf7zfoO/pVu1tIbOERQqQM5Yk5ZiepJ7mpY40ijWONFRFGFVRgAU6gDPb/SNeUdVtYd3/AANzgfkFP/fVaFZ+l/vGvbk/8tblgD7JhP5qT+NaFABRRRQBTb/RdQD9Irn5W9nA4P4jj8BVyormAXNu8RJGRww6qeoP4Hmm2k5ntwzgLIpKyL6MOtStHY0l70VLtp/kT0UUVRmc6/h+70q6a68O3EcCSPvn064J+zyEnlkxkxN3+UFT3XPNdFRVXUdPh1Oye1maZFYgh4ZWjdGByCGU5BBoAtVVv9Pt9StvJuFPBDI6Ha8bDoynsR61T0qPWrS4e01CWK9tVTMN6MJKefuyIBjP+0uAcfdHfWpxk4u63Gm07oyLK/uLS7TTNVZTM+fs90BtW5A7EfwuB1HfqO4GvVa+sbfUrR7a5TdG2CCDgqRyGU9QQeQRVLTb2eG6Olai266Rd0M+MC5jH8Xsw43D6EcHjaSVRc0d1uv1X6rp6bU0pK6NOSKOZCksaup7MMiud8RaUznSUsxOo/tKF3EZLKirubcQcgDIFdLUM13Bbz20MsoSS5cxwqf42CliB/wFWP4VztIUZyjomRZvouqw3C/7OUb8jkH8xR/aEKcTrJbn/pquB/30OP1q3RSs+hXPF/Evu0/4H4CI6yKGRgynoQcilqs+n2zMXWPynPVoiUJ+uOv403ybyL/VXKyj+7MvP/fS/wCBouw5YvZ/eW6KqfbJI/8Aj4tZU/2o/wB4v6c/pUsN1BcZ8mZHI6gHkfUdqd0J05JXtoTUUUUyAooooAKKKKACiiigDPb/AEfXkPRbqEqf99DkfmGP/fNaFZ+rfu4ra5HWC4Rs+zHY36Ma0KACiiigAqpLNJPK1vbNjbxJL2T2Hq38v0pJJXu5Ggt2KopxLMO3+yvv79vrVmKJIIljjUKi9AKnc1SUNXv/AFv/AJCQwx28QjjXCj8yfU+pqSiiqMm23dhRRRQAUUUUAFFFFABRRRQAVnan/pUsGnDkTHfN7RLjI/E4X6E+laDMFUsxAAGST2rP0tTOZdRcENckeWD/AAxD7o/HJb/gVAGjRRRQAUUUUAFFFFABRRRQBi6Cfs+s69Ynot0lzGPRJYxn/wAfWSt6sHH2fx0jdBe6cyn6wyAj9J2/I1vVtiNZKXdL8rP8UzSGwUUVneILs2HhvVLwHBgtJZR9VQn+lYwi5yUV1KKHhDD+Gba6H/L40l5n182RpB+jCtyqmlWgsNIsrMDAt4I4sf7qgf0q3WteSnVlJdWzBBRRRWQwooooAKKKKACiiigAooooAKKKKAIrm2gu4TFcRrIh5wex9R6H3qlsv7D/AFZN9bj+BiBMo9ieG/HB9zWlRQBWtb+2vNyxSfvF+/E4Kun1U8irNV7qxtrzaZogXX7sikq6/RhyKreVqVp/qZkvIh/BP8jj6MBg/iPxoA0aKzxrFuhC3ayWbnjFwu1T9HGVP51fVgyhlIIPQjvQAtFFFABQQCMEZBoooAzdNJtZZdMf/liN8BP8UR6D/gJ+X6Y9aq63/wAhzw1/1/Sf+k01XtSgkKR3Vuu65tjvRf76/wASfiP1ArN1SeO51TwtPC26OS8kZT7G1mrfD/G/SX/pLEzYvr2HTrKW6uGIjjHQDJY9AAO5JwAO5NUtJsZlkl1K/A/tC5ABUHIgj/hjU+3UnucnpjEMQGt6ybg82GnyFYR2lnHDP9E5Uf7W70FbdEv3ceRbvf8Ay/z+7oaP3VbqFFFFYEBRVW51K0tXEcs6+aekSgs5+ijJ/SoPtOoXXFtai2Q/8tbrr+CA/wAyKAL8kiRRtJI6oijJZjgD8az/ALfPefLpsIKH/l5mBEf/AAEdW/Qe9PTSomkWW7d7uVTkGbG1T/sqOB9cZ96v0AU7bTo4ZftEztcXWMedJ1Ueijoo+n45q5RRQAU13EaM7dFBJp1UtYkMWi38g6rbyEfXaaAE0ZCmjWe77zRK7f7zcn9SavUyKMRQpGOiKFH4U+gAooooAKpv/o1+sn/LK4wjezjofxHH4CrlRXEC3Fu8TEgMOCOoPYj6Hmk0XCST12ZLRUFnO08AMgAlQlJAOzDr/j9DU9CdyZRcXZhRRRTEFY2radqbXS6hpGoGK5RNjWtwS1tOAScEdUbn76/iGwBWzRQBV064ubqxjlu7J7K4OQ8DOr7SDjhlOCD1B4ODyAeKZqmnLqVqEEhhnjbzIJ1HzROOjD19CO4JHertc7C+u6JdJBcCTWNNkcKtygUXMGTgeYowJF/2lwR3U8mnGTi1JbjTad0aWk6g19A6XEYivbdvLuYgchW9R6qRgg+h9c1U1a2nn8RaBIkTtDbzTSSOBwmYWUZ+u6l1mN7GdNbtkLPAuy6jUZMsGcnjuy8sP+BDvWgNRtGu7a1WZWluYXnhCgkPGpQMwPT/AJaJ+daVYqynHZ/g+3+RUl9pFqiiisiAooooAKimtYLjHnQo5HQkcj6HtUtFIabTuip9jkj/AOPe6lT/AGZP3i/rz+tHnXkX+st1lH96FsH/AL5b/E1bopW7F+0b+JXKq6hbMwR38pz0WUFCfpnr+FWqRkV1KuoZT1BGRVX+z4U5gaS3P/TJsD/vk/L+lGofu35fiW6KqYvoujQ3C+jAo35jIP5Cj7eqf8fEM0Huy5X/AL6GR+dHN3D2Tfw6+n+W5bopkcscyb4pFdT3U5FPqjNprRlPVYjPpF5Gv3mhfb7HHH61Yt5RPbRTDpIgYfiM08gEEEZBqjohJ0OxBPKwKpP0GP6UAX6pPI965igYrADiSUdW/wBlf6n8ueiF21BikbFbUcNIDgyey+3v+XrV1EWNAiKFVRgADAAqdzW3s99/y/4IkcaRRrHGoVFGAB2p1FFUZN31YUUUUAFFFFABRRRQAUUUUAFFFR3E8dtbyTyttjjUsx9qAKOpE3UsWmJ0mG+cjtEDyP8AgR+X6Z9K0gABgDAFUdNgkVJLq4Xbc3J3uv8AcX+FPwH6k+tXqACiiigAooooAKKKKACiiigDE1v9xrPh+7HQXjQOf9mSJ/8A2dUrfrn/ABZ8mhi572t1bXGfQJMhb/x3cPxroK2qa0oS9V+v6lw6hWH4wOfDNxD/AM/EkNtj18yVI/8A2atysLxP86aTb/8APXU4P/HCZP8A2Slhf40X2d/u1HLZmzRRRWRmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAhAYEMAQeoNUTo1mGLW6vauec2zmME+4HB/EVfooAz/s2pQ/6q/SZfS4hGf++lI/lR9p1KP/W6ckg9YJwSfwYL/OtCigDP/tXb/rbC+j/7Y7//AEAmj+2rIfeNwn+/bSL/ADWtCsLxjrU/h3wpf6vb+SZLVN4jlQsJD0CDBGCWIGefpQBd/tvTv+fjH1Rv8K8g+IvxJtfDHiey0+xilkRHN4ZQNvkGSOWNtoI+b72/sM8d+PQdf1/WvCvh3+29QWxuo42iE9rBE8b/ADsqkIxdgxBbgYGcdqjuvCui+MtYutU1SwhuBbH7JZyMORsJ3v7/ADlgAcj5M961pOUbzj0/XSxcV1J7Txf4esbCC2sxftDEgVALCfp9Sgyfeg+PLJjiKxv/APelt3UfoCf0rf0+6kmR4LjAu4DtlA6N6MPYjn8x2q5VOdFu7i//AAJf/IkO99Tk/wDhLUmHNzHbD2sriY/+gL/Kj+2tGl/4+9T1K4/2fs00a/kiDP45rrKKOah/K/vX/wAiLU5228R+HbNNlsJIVPUJYTDP1+Spv+Eu0b/nvcf+Ac3/AMRW5RRzUP5X96/+RDUw/wDhLtG/573H/gHN/wDEUf8ACXaN/wA97j/wDm/+Ircoo5qH8r+9f/IhqYf/AAl2jf8APe4/8A5v/iKP+Eu0b/nvcf8AgHN/8RW5RRzUP5X96/8AkQ1MP/hLtG/573H/AIBzf/EVR1jxXo8uj3UazXGWjI5s5h/7LXVVn65xod6f7sLN+QzRzUP5X96/+RBXKf8Awl2jf897j/wDm/8AiKP+Eu0b/nvcf+Ac3/xFblFHNQ/lf3r/AORDUw/+Eu0b/nvcf+Ac3/xFH/CXaN/z3uP/AADm/wDiK3KKOah/K/vX/wAiGph/8Jdo3/Pe4/8AAOb/AOIo/wCEu0b/AJ73H/gHN/8AEVuUUc1D+V/ev/kQ1OZbxZo8F+JVmuPLmG2T/Q5uGH3T9zv0/KrX/CXaN/z3uP8AwDm/+IrYnhW4geJ84YYyOo96js5mmgxJjzozskA/vDv+PB/Gp5qCduV/+BL/AORNHeUebtp/l/l9xl/8Jdo3/Pe4/wDAOb/4ij/hLtG/573H/gHN/wDEVuUVXNQ/lf3r/wCRM9TD/wCEu0b/AJ73H/gHN/8AEUf8Jdo3/Pe4/wDAOb/4ityijmofyv71/wDIhqYf/CXaN/z3uP8AwDm/+Io/4S7Rv+e9x/4Bzf8AxFblZepXeoi+trLTI7cu6tJPLcbisaDAGAOrEnjkcK3pRzUP5X96/wDkQ1MvU/FFpNaY03UZba5VgymXTppEfH8LDaDg+oII/Q+W6N8U7Sy+I9ppl5p8sVtbrPYxtGWfyjK8TYC7QxQNHgcA7SOOOfS9G13Xtbu9bit/7NWPTLs2aytHJiaRVBbjd8oBbHes6403R725tPEo0m3TxTbWdvqVx5cZJZGBDLnoThXAJ5yq004StTgmrvq0/wBFb1NIX+HudJ/wl2jf897j/wAA5v8A4ij/AIS7Rv8Anvcf+Ac3/wARWzFKk8KSxMHjdQysOhB5Bp9K9BfZf3r/AORM9TD/AOEu0b/nvcf+Ac3/AMRR/wAJdo3/AD3uP/AOb/4ityijmofyv71/8iGph/8ACXaN/wA97j/wDm/+Io/4S7Rv+e9x/wCAc3/xFblFHNQ/lf3r/wCRDUw/+Eu0b/nvcf8AgHN/8RR/wl2jf897j/wDm/8AiK3KKOah/K/vX/yIamH/AMJdo3/Pe4/8A5v/AIij/hLtG/573H/gHN/8RW5RRzUP5X96/wDkQ1MP/hLtG/573H/gHN/8RR/wl2jf897j/wAA5v8A4ityijmofyv71/8AIhqc3J4g8OyvvLTrJ/fSznVvzC5pn/CTWEX+p1G5cf3Z7CZv1CA/nmunpGYKpZiAoGST2pXw/wDK/wDwJf8AyJoqk9r3/E43VfiPpmj6TdX1xb3UggjL4igkwx7DLKMZPesr4ZeN4/H+l3MC2j2a2DATR79/mByxX5sDjg5H9K7aa3j1uB4bmIPp0ilWicf68H+8P7vt3+nWj4O0LS9C0FI9LsYbVJmMj+WvLnJwSep44rGXJL4U7ebv+iLb5H2f5f8AB/L1N8AKoVQABwAO1LVHWNUh0XSLnUZ1ZkgQtsQZZz2Ue5OB+NY0/ixh8OofE8FqGuLmzilgtd2d00oUJHnjPzsFoMTp6KjgMpt4zOEE20eYE+6Gxzj2zUlABRRRQAUUUUAFFFFABRRRQAVmyf8AEx1EQjm1tGDSHs8vVV+i8E++PQ1NqF1JCiQW+DdzkrED0X1Y+w/wHeprS1js7ZII8kL1Y8lieST7k5NAE1FFFABRRRQAUUUUAFFFFABRRRQBk+KIDdeE9YgX7z2UwU+h2HB/OtSzuBd2UFwvSWNZB+IzRJGssTxuMq6lSPY1l+D5Gk8F6IXOXFjCrf7wQA/qK2etD0f5r/gFQ3NqsLXDv1zw5F6Xkkp+gt5R/NhW7WDqnzeLtCT0iupPyCD/ANmpYb436S/9JZU9jaooorIzCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArjPHyjUrnw54dBONR1JJJlBxmGAGVv1VB+NdnWbdeHtEvbz7Zd6Pp9xdYx50tsjv0x94jPSgEcP4/nOj6v4eGnO1/qkt4FSyunMqKhBXzsH7jK5QBv9rFeg6dZR6dp1vZxklYYwm49WI6k+5PP41iyaVp0HiHT7SxsLW2Vd97P5EKpu2jYgbA55ckf7ldHW0vdpxj31/Rfr95ctIpFC/t5A6X1qubmEEFBx5qd0+vce/1NWra4iu7dJ4W3RuMg/wBD6GpazJh/ZV090v8Ax5THM6/88m/56fQ/xfn61iQadFAORkUUAFFFFABRRRQAUUUUAFVdSi8/SryH/npA6/mpFWqOtAENpL59nBN/z0jVvzGamqhovGkQRHrDugP/AABin/stX6ACiiigAooooAKpy/6NfJP/AMs5sRyezfwn+n4irlRzwpcQPE/3XGDik0XCST12JKKr2UzywFZf9dEdkn1Hf8Rg/jVihO5MouLswooopiCoL68i0+wub2dtsNvE0sh9FUEn9BU9VL/StO1WNY9RsLW8Rc4W4hWQDPXhgfQUAc58M7SW38B2Fzcj/StRL6hOfVpmMn8mA/Cta2srhfGOpXzx4tpLC1gifI+ZlknZxjr0dKv2OnWOmQmGwsre0iP8EESxr+QFJb6hBc3t5aRlvNtGVZcjjLKGGPwNAFHw/wD6LHd6Uf8AlxmKRf8AXFhuj/AAlf8AgFbFY91/oniiyuBwl7C9q/u65kT9PN/Otitq+slP+ZX/AM/xuXPV37hRRRWJAUUUUAFFFFABRRRQAUUU2SRIY2kkYKijJJ7UAlfRA7rGjO7BVUZJJwAKpqjX7CSVStqDlIyMGT3b29B+fpSpG966zTqVhU5jhPU/7Tf0Hb69LtTua39ntv8AkNkcRRPI3RVLH8KqaOhj0WxRvvCBM/XaM0mssV0a6C/fkjMa/wC83yj9SKsTWsc9o1qxkWNl25ilaNgPZlII/A1RkYN69zqmoyeVYPdWNurxIyyKoaYgq7cnnaCVHuX9BWT8M7eHVPhj4bN0m82mdqk8B4ndBn1wRn6gHtXVWWi2WnaSNLtBPHaqCFH2mQuoJzw5bcPzpmh+H9N8OWRs9Lilhtyxby3uJJQCSSSN7HGSSTjrmgdzTooooEFFFFABRRRQAUUUUAFRXNxFaW7zzNtjQZJ/oPU1KTgZPSsuAf2rdJdt/wAecJzbqf8Alo3/AD0Pt/d/P0oAlsLeUu97dLi5mGNmc+UnZB/M+p+gq/RRQAUUUUAFFFFABRRRQAUUUUAFFFFABWN4P48NQx/88p7iH/viZ1/pWzWN4U+XT72L+5qd5/49O7/+zVtH+BL1X6jjubtYN783jnSR/d068b/yJbAf1rerBuefHVj7aZcfrLD/AIUsN8b9Jfky57G1RRRWRmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj6Z/pGvaxdnkRtFaIfZF3n/AMelI/Ctisjw18+kG4PW5uJ58+zSMV/8d2j8K162xH8Rrtp92hdT4rBSEBlKsAQRgg96WisSDLgY6TOlpISbOQ4t5Cf9Wf8Anmfb+6fw9M6lRzwRXMDwzIHjcYZT3FUraeSznWxu3LhuLedv+Wg/ut/tD9Rz60AaNFFFABRRRQAUUUUAFFFFAGfYfub/AFC29JBMo/2XH/xSvWhWfdf6Pq9ncdFmDW7/AF+8p/Rh/wACrQoAKKKKACiiigAooooApz/6Nex3A4jlxFL7H+E/nx+I9KuUyaJJ4XicZVwQa5fRPH/h7Vtdl8Ow6mkur25dHjCMA5QkNtbGD0zgH+VTszR+9FPqv6/r5HV0UUVRmFFFFABWRpVjcW2s67czIFS6uo3gOQdyLBGufb5g4/CteqljqMOoG6EIcfZrhrd9wxllAzj25oAp+Jf3ekfbOhspo7nPoqsC/wD45uH41r1Xv7Vb3Trm0b7s8TRn6MCP61Body17oGnXT/flto3bPYlRn9a2etFeT/P/AIZl7wL9FFFYkBRRRQAUUUUAFFFRzzx28RkkOAOOOST6AdzQNJt2Qs00cETSSMFQdTVaOGS6kW4uVKqpzFCf4f8Aab3/AJUsMEk0q3N0MMOY4uoj9z6t/Lt6m3U7mjahot+/+X+f9MoooqjIz9S/e3Fha/35xI3+6g3f+hBfzrQrPh/0jW7iX+G2jEC/7zYZv02VoUAFFFFABRRRQAUUUUAFFFFABRRWdczyXs7WNo5RV4uJ1/5Zj+6v+0f0HPpQAyZjq072sZIsozi4cH/WH/nmPb+8fw9caYAVQqgADgAdqZBBHbQJDCgSNBhVHYVJQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVjeGeP7YT+7qc36hW/rWzWN4b/AOPjXf8AsJv/AOi462h/Cn8vzHHc3awbnjx1Y++mXH/o2H/Gt6sG8+XxzpR/vabeD8pLb/69LD/E/SX5MuextUUUVkZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVFcSiC1lmPSNC35DNS1Q11tnh/UmHa1lP8A44aqnHmmkOKu0iPw7F5HhnSoj1W0iB9zsGa06r2K7NPtlHaJR+gqxTqy5pt+YSd5NhRRRUCCorm2iu7doJl3I3vgg9iD2I9alooAzre5ltZ1sr59zNxBcHgS+x9H/n1HcDRqK4toruBoZ0Dxt1H9R6H3qlFcy2Eq2t85eJjthuj/ABeiv6N79D9eKANKiiigAooooAKKKKAKupWz3VhLHGQJhh4iezqdy/qBUlpcpeWkVwgIWRQ2D1HsfcVNWdaf6HqU9meI5s3EP4n51/M7v+Be1AGjRRRQAUUUUAFFFFAGXqHiLTNLvreyu5pUubjPkRrbyOZcDJC7VOSByQOlefeH/AXhLSPiC+v6feXLXYdpPsNwvlm383K7wjKG25JUZ4GepravbiS++LsCx2k13Fouls5EJQbJrhsDO5h/BGfzrRTw/dap4x/t/UkFvBDZNZ21oHDOQ7Zd5COAeAAoJ9c+iZcGk9djqqKrWUrtE0UpzNCdjn19D+Iwas0J3JlHldmFFFFMQVk6Dp8+nw3wuAoee+nnG05+VnO3/wAdxWtVLStSi1awW8hR0jaSRAHxn5HZCePUrmgC7WR4Z+XQo4v+eM08P/fErr/Stesjw7xZXa+l/dfrM5/rW0f4UvVfqWvgfy/U16KKKxICiiigAooqG4uEtkBYFmY4RF6sfQUhpNuyFuLhLaPe+eThVAyWPoB61DBbu8oubrHm/wAEYORGP6n1NLb27mT7RckNORhQPuxj0H9T3q1S33LbUFyx37/5BRRRVGYVFc3CWttLcSnCRqXb6Cpazr7/AEu+t7AcopE8/wDug/KPxYfkpoAl0uB4LBPOGJ5CZZf99jkj8M4/CrlFFABRRRQAUUUUAFFFFABRRWbLcy6hK1tYuUiU7Zrofw+qp6t79B9aAFuLmW7naysn2leJ7gciL2Hq/wDLqewNy2torS3WCFdqL05yT6knuT60W9vFaQLDAgSNeg/qfU+9S0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWN4b/4+de/7Cbf+io62axvDPLay3ZtTl/QKP6VtT/hT+X5jjubtYOpfL4w0N/WC6j/Py2/9lrerC1v5Nf8ADkn966li/OCRv/ZKWG+N+kv/AEllz2NmiiisjMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqGtqX0DUUHVrWUf+Omr9MmjE0EkR6OpU/iKqEuWSY4uzuRaewfTbVx0aFD+gqxWX4blM3hjSnb7xtIt3sdoz+talOrHlnJdmwkrSaCiiioEFFFFABTJYo54milRXjcYZWGQRT6KAMvfNpHEpeaw7SHJeAf7X95ffqO/rWmrq6B0YMrDIIOQRS1mtaTae5l09Q8JOXtCcD6of4T7dD7daANKioLS8hvYy8LHKna6MMMh9GHY1PQAUUUUAFU9StpJoFlgA+0wN5kWe5HVfoQSPxq5RQBDa3Md3ax3EROxxkA9R6g+46VNWYf8AiWajk8Wd2/PpHKf6N/6F/vVp0AFFFFABSOGKMEIDY4JGQD9KWigDnNA8OXuk67rOqXeowXcmqSI7hLUxFNihUUEyN8oAPbqetdHRRQBTuf8ARrqO6H3GxFL9CflP4E4/E1cpskaTRPG4yjgqR6g1XspHMbQynMsJ2MT/ABDs34j9c1OzNH70L9V+X9foWqKKKozCsvw5p02laDbWdwUMybi5Q5GWYt/WtJ2CIznooyaq6RqC6totjqSRtEt3bxziNjkqHUNg/TNAFysjw7zY3Tf3r+6/SZx/Stesjwx82gQy/wDPaSWb/vuRn/8AZq2j/Cl6r9S18D+X6mvRRRWJAUUVBc3Ig2oq+ZM/3IwevufQe9Juw4xcnZC3NytuqjaXkc4SNerH/D3plvbMrmedg9wwxkdEH91fb+dLbWxjZppW8y4cfM+OAPQegqxStfVluSiuWP3/ANdAoooqjMKKKKAIri4jtbeSeVtscalmNV9NgkSJ7i4XFzct5kg/uD+FfwGB9cnvULH+09Q8sc2lo4L+kko6D6L1Pvj0NadABRRRQAUUUUAFFFFABSO6xozuwVVGSScACobu8hs4w8zHLHaiKMs59AO5qotpNqDiXUFCwg5S0ByPq5/iPt0Hv1oAbvm1fiIvDp/eQfK84/2e6r79T2x1rRiijhiWKJFSNBhVUYAFPooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArG8K/NZX8n9/U7v8A8dmZf/Za2axvCHPh1ZP+et1dTf8AfdxI39a2j/Ak/NfqOO5u1heJf3baNP8A88tTi/8AHw0f/s9btYXi8Y8PPMOtvcW1x+EcyOf0U0sL/Giu7t9+hctmbNFFFZGYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGR4b+TTJbY9ba6nhx6KJGK/wDjpWtesfT/APRvEerW3QTiK7T8V8tv/RYP/Aq2K2r/AMRy76/fqXU+K/cKKKKxICiiigAooooAKKKKAKd1p6zyC4ikaC6UYWZB1How/iHsfwxUcWoPFKtvqCCCZjhJAf3ch9j2P+yefTNaFMlijniaKVFkjYYZWGQRQA+is37PeadzaE3NuP8Al3kb51H+wx6/RvzFWbS+gvAwiYiRPvxONrp9QeaALNFFFAEc8EdzA8Eyh43XaynuKp2M8kMx0+7YtMgzFIf+Wyev+8Oh/PvWhVa9s1vIQpYxyId8cq9UbsR/h3HFAFmiqVleNK7W1yojvIxllHRx/fX1B/Toau0AFFFFABRRRQAVTuv9HuI7sfd4jl/3SeD+B/QmrlNkRZY2jcBkYEEHuKTVyoS5XrsOoqrYu3ltbykmWA7CT/EP4W/EfrmrVCdwlHldiG8ieeynijIEjxsqk9ASMCoNHsm03RLCwcqWtraOElehKqBx+VJrWpLo2g6jqjRmRbK2kuCgONwRS2M9s4q6pJUEjBI6UyStqd2LDSry8PSCB5f++VJ/pTNHtDYaJYWZ6wW8cZ+oUCqviM+Zp8NkOTe3MUGPVS25/wDxxXrXrZ6Uku7/AC2/NlvSAUUVWuLlkcQQKHuGGQD0Uf3m9v51g3YmMXJ2Qtzc+UViiXzLh/upnoPU+gotrbydzu3mTv8AfkI6+w9B7UttbLbhiWLyvy8jdWP9B7VPSS6suUklyx/4f/gBRRRVGYUUUUAFUL65kaRbG0bFzIMs/XyU/vH37Adz7A0+9vTAVgt1Et3L/q4yeAO7N6KP/rU+ysxaRNlzJNId0spHLt/QdgOwoAktreK0t0ghXbGgwB/U+pqWiigAooooAKKKrXd9BZ7RKxMj/ciQbnf6Ac0AWaz5dQeWVrfT0E8ynDyE/u4z7nuf9kc+uKb9nu9R5u2Ntbn/AJd42+dh/tsOn0X8zV+KKOCJYokVI1GFVRgAfSgCta6esEhnldp7phhpnHQeij+Eew/HNXKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEZgqlmOABkmsjwapXwXorMMNJZxSN9WUMf1NS+I7n7H4X1a6BwYbOZx+CE1e062+x6ZaWuMeTCkePooH9K22oer/Jf8EqG5ZrL8TWzXnhXV7dPvy2cyrjsShx+talIQGBBGQeCDWVOfJNSXQ0ZUsbkXun210uNs8SyDHowB/rVisTwgSvhSwgJybVDaEn1iYxn/wBArbq60FCpKK6NmCCiiisxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj6p/oms6Vf9FZ2s5T/ALMmCp/77RR/wKtiqWrWJ1LSrm0Vtkjp+7f+445VvwYA/hS6VfDUtLt7vbsaRPnT+444ZfqGBH4VtL3qal20/Vfr9xb1in2LlFFFYkBRRRQAUUUUAFFFFABRRRQAVWurC3vCrSKVlT7kqHa6fQj+XSrNFAGb5t/Y/wCuQ3sA/wCWkSgSr9V6N9V/Krltd295GXt5VcA4IHVT6EdQfY1NVS5063unEpVo5wMCaJtrj8R1HscigC3RWdu1Kz+8q30I/iTCSj8Put+G36VNbala3TmOOTbMOsMgKOP+Ann8aAHXlkl4inc0c0Z3RSp95D/Ueo6GorW+czfZL1ViusZXH3JR6r/UdR+tXqhurWG8h8qdNy5yCDgqexBHIPuKAJqKzBc3GmfLfEzWo+7dAcr/ANdAP/Qhx64rSR1kQOjBlYZBByCKAFooooAKKKKAKd3/AKPPHeD7o/dy/wC6TwfwP6E1cprosiMjgFWGCD3FVrF2VHtpCTJAduT/ABL/AAn8v1BqdmaP3oX6r8iDxBpr6z4d1HTI5Fja7t3hDsMgbgRz+daVZ+tamdI003Yi80+dDEE3Yz5kqx9f+BZq+zBFLMQFAySegFUZmRL/AKZ4rt4xzHYW7TN/10k+VPyVZP8AvoVsVj+Hg01pNqbgh9QlNwoPUR4Cxj/vgKfqTV2e4d5TbWuDL/G5GREPU+p9BWtd8suTtp/n+NzVxcpcq6C3Fy/mfZ7YBpyMkn7sY9T/AEHepLe2S3QgEs7HLu3Vj6mlt7dLaPYmSScszHJY+pNS1il1YpSVuWO35hRRRTMwoopGYKpZiAoGST2oAWqN3fMkv2W0QTXbDO0n5Yx/ec9h7dT2qI3c+pHZp58u3/iu2HX/AK5g9f8AePH1q5a2kNnF5cK4ydzMTlnPck9zQAyysltFZ2cy3EnMszDlj/QDsO1WqKKACiiqlzqVrauInk3THpDGC7n/AICOfx6UAW6gubu3s4w9xKqAnCg9WPoB1J9hVXdqV591VsYT3bDyn8Pur/499KmttOt7VzKqtJORgzStuc/ieg9hgUAQebf3/EKGygP/AC0kUGU/Rei/U5+lWbWwt7Ms0akyv9+Vzud/qT/LpVmigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMPxd8/h2W3/5+poLXHr5kqIf0Y10Fc/r377UdAtOvmX/AJjD/Zjid8/99BPzroK2qaUoR9X+n6Fw6hRRRXOWc/4f/cXmuWXTyNRd1H+zKiy5/wC+nb8jW5WKmLbxxcJ0F9YJIo9WidlY/lLH+VbVdOI1kpd0n+Gv43MeoUUUVgAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY1of7N8QXNkeIL7N1B6CQYEq/8AoL++5vStms7WbGW8sg1sQL23cT2zE4G8dj7MCVPsxrWi1dxls9P8n/XS5UH0fU0aKq6dfRalYQ3cQIWQcq3VGHBU+4IIPuKtVnKLi2nuS1Z2YUUUUgCiiigAooooAKKKKACiiigAooooAKhubO3vECXEKSqORuGcH1B7GpqKAM77Dd23/HnesV/55XI8xfwbO4fiT9KX+0Z7fi9sZUH/AD0g/fJ+g3D/AL5rQooAgtr21vFJt7iOXHUKwJH1Haqrac9s5l02UQEnLQMMxMfp/CfcfiDVi50+0u2DT28buOj4ww+jdRUH9nTw/wDHpqM6Dsk375f1+b/x6gBY9URZBDextaTE4HmHKOf9l+h+nB9qv1mudRCNHcWdrdxEYPlvtJ/4Cwx/49VDetl/x7m+0/H/ACymgMsP/juQv4MBQM6GisWDX1J2yLFNjgvZyiT804YfQA1fg1OyuX8uK5Qyd42O1x/wE8/pQKxbqnef6PLHeDonyS/7h7/gefpmrlIyh1KsAVIwQe4pNXKhLldzP1rTDq1hHbCUR7bq2uCSM5EUySFfx2Y/Gq/iBmuY4NHiJ8y/YpIR1WAcyH8QQv1cVFdas2kCztHVXZ7xLYs7YxGVZg/4BSPqDUGlSTavd3OpxZQT4jikI/1UA6Af7TElj6AqDyK2ovl/evp+fT/P5GsaTUm+i6/kbMkrO/2SzwpUYeQDiIeg9T7du/vYggjt4hHGMDqSTkk9yT3NEMMdvEI4l2qP85+tSVil1ZnKatyx2/MKKKq3GpWVq+ya5jWTtGDlz9FHJpkFqis/7dd3HFnYOFP/AC1uT5a/988t+YFJ/ZklzzqF084/54xjy4/xAOT+JI9qAHS6pGZGhs42u5wcFYvuof8AaboPp19qaNOkumEmpSLKByLdOIl+vdz9ePYVI19ptgiwm5tYFXhYw6r+AFM/taKT/j2tru4P+xCVB/4E+B+tAzQ6DAorP83VZv8AV21vbr/emkLsP+Arx/49R/Z083/H3qM7jukP7lf0+b/x6gRZub21swDc3EcWegdgCfoO9Vv7RnuOLKxlcf8APSf9yn6jcf8Avmp7bT7S0YtBbxo56uBlj9T1NWaAM77Dd3PN5esF/wCeVsPLX8WzuP4EVbtrS3s0KW8KRKeTtGMn1PqamooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMWTFx44tE6izsJZGHo0joqn8o5PzrerA0X/AEjxFr972WSGyQ+qxpvP/j0zD8K362xGjjHsl+Ov5s0hsFFFFc5Rga+Ps2saDqHZblrWQ+iSoQP/AB9Y626yvFdvJceGb4wrungQXMI9ZImEij/vpBWjbzx3VtFcQtuilQOjeoIyK6J+9Ri+11+v6v7jKW5JRRRWIgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMSQ/2JrPm9NP1CQCQ9oZzwD7B+Af9oD+8a26iubaG8tZba4jEkMqlHQ9CDWbpd1NbXDaRfyF7iNd0E7f8vEQ7/768BvwPfjd/vY83Vb+a7/Lr9/ct+8r9Ua9FFFYEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEM9pbXQxcW8Uo9JEDfzqjP4c0m4TY9oAn91HZB+QIFalFAGKvhuGHH2W/1G2A6LHP8AL+RBFSHTtVU/utccqO0tsjfqMVrVn6rqLWUUcVugmvrglLeEnhj3ZvRV6k/h1IqoQc3yoau3ZHjPxV0Px3r3iuytNFma9gt4F3i1xCsUjFx+8yxHK+/Q9OefWrW38Q21rFCr6QNigELFIBnvj5qv6Xpy6baeX5hlmkYyTzMMGWQ9WP8AIDsAB2rO8a30Gm+CdZvbiNJEgtHcI4yGcD5B/wB9Yonyp2i9CpS+ytibZ4jP/LfS1HqIpCf/AEKonsfEMvXVoYv+ucI/qDXN+E9M8NT6Npugyx29/qK6cst5Mp3OrfKGy45BLM2Of4T6V2uk2b6fo9jZSSGR7e3jiZySdxVQM5PXpUEmX/YN9L/x8ahHN6iRJWH5eYF/SrcGk3FumyG9jgX0t7VE/nmtWimK5Q/sx3/1upX0n/A1T/0BRSf2LYN/rYWn/wCu8ry/+hE1oUUBchgtLa1GLe3iiHpGgX+VTUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFISFBJIAHJJpaxvFc8kPhm9SBttxcKLWE+kkrCNT+BYH8KulD2k1Du7AL4QUt4cgu2zuvnkvTnriVy6j8FZR+FblR28EdtbRW8S7Y4kCIPQAYFSUq0+epKfdmqVlYKKKKzGBAIIIyD2rn/Cn7nRjpx+9p00lnj0RG/d/nGUP410FYEP+g+M7yHpHqNstynvJGRHJ/46Yfyrope9CcPn93/AbfyImupt0UUViQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVS1LTk1G3VC7RTRt5kE6feicdGH8iOhBIPWrtFOMnF3W402ndGZpepyXDyWV6iw6jAAZYx9117SJ6qfzB4NadUdT0xNRSNlkaC7hJa3uEHzRt/UHoVPBFQ6fqryXH9n6jGtvqKrnaPuTKP44yeo9R1HfsTtKCmueHzXb08vy/EppNXialFFFYEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFUdS1SLTkRSjzXMp2wW8fLyn29AO5PA71UYuTtEaTbsh2p6lDplsJZFaSR22QwxjLyueiqPX9AMk8Cq+l6dNFLJqF+VfUZwA23lYU6iNPYdz3PPoAafpsq3J1HUXWW/ddqhfuQIf4Ez+rdT7DAGpWkpKEeSHzf6Ly/MptJWQVx3xAstU1nT7PSbLSri6tZb23kvXSSJR5CPvZQHcEsdq9sc9a7GisSCGKNGcXZgMc8kaqwcgsoGTtOCRwSehqaiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArD1YfbPEWiaf1VJJL6UeqxrtXP/A5EP/Aa3KxNIH2zxLrGoHlITHYQn/cG9yPq0m0/7lb0Pd5p9k/x0/W/yBK7N+iiiuY2CiiigArA8UA2q6dq68fYLtTKf+mMn7t8+w3B/wDgFb9V7+zh1HT7mxuF3Q3ETRSD1Vhg/wA61ozUKik9uvp1/ATV1YkorK8OXk15oVubpt13But7k+ssZKMfxK5HsRWrSqQcJuD6GQUUUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVb/TrbUrcQ3KE7WDo6kq8bDoysOQferVFOMnF3W4JtO6MNdRutGYRaw3mWucJqKrgD2lA+6f9ofKf9npW2rBlDKQVIyCOhoIDKQQCDwQe9Yx0i501jJokqRx5y1jMT5J/3COYz9Mr/s9629yp5P8AB/5fl6F6S8mbVFZdprlvLcLaXcb2N63SC4wN/wDuMPlf8Dn1ArUrKcJQdpIlxa3CiiipEFFFFABRRRQAUUUUAFFFFABRRRQAUVQv9Ys9PkWGR2kuXGUtoV3yv9FHb3OAO5qn9k1PWBm/drCzP/LrBJ+9cejyDp9E/wC+jWsaTtzS0X9bd/y8ylDq9ESXOryTXD2OkRrc3SHbLK3+ptz/ALZHVv8AZHPrgc1Pp2kx2LyXEkj3N7KMS3Mn3m9gOiqOyjj6nmrdtbQWdulvbQpDCgwqIuAB9KlolUSXLDRfi/X/AC/MHLS0QooorIkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCvf3sWnadc305xDbxNK59lGT/Kq3huylsPD9pFcjF06me4/66yEu/8A48xqp4iH2yTTdHHP225VpR/0xi/ePn2JCof9+ugraXu0Uv5nf5LRfjcqC1uFFFFc5oFFFFABRRRQBz9t/wAS3xfeWp4h1KIXkX/XVNsco/Lyj/30a3KxfFSNDp8OrRKTLpcwuiFHLRAFZR7/ALtmIHqBWwjrIiujBkYAqwOQR6101fehGp8n6r/gW/Eyasx1FFFYCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCG6tLa+t2guoI54W6pIoYH8DWZ/ZN9Yc6VqDCMf8ut5mWP6K2d6/mQPStmitIVZRVlt26FKTWhj/23PacapplzbgdZoAbiL81G4fUqKvWWpWOooXsruC4UdfKkDY+uOlWqo3mjabqDiS6sYJJR0lKAOPow5H4Gq5qUt1b01/B/5jvF7q39f11L1FZH9hND/wAeer6lbDspmEw/8ihj+RpPsuvxf6vVLGYek1kwY/8AAlkA/wDHaPZwe0187/5NfiHKujNiisjzPEaf8uulS+/2mSP/ANkaj7T4i/6BWmf+DJ//AIxR7CXRr71/mHI/L7zXorI87xG3/LjpUf8A2+SP/wC0hR5HiKX719psA9EtHkP5mQD9KPY2+KSXzv8AlcOTu0a9RXF1b2kJmuZ4oYh1eRwoH4ms3+xbqb/j71u/kHdItkK/mqhv/Hqlt/D+lW0wmWyjknHSacmWQf8AA3JP60ctJbyv6L/O35BaK3ZD/wAJDDccaZaXOoE9HiTbF9fMbCkfQn6Un2PWNQ/4/b1LGE/8sLE5c+xlYf8AoKg+9bNFHtYx+CNvXV/5fgHMl8KKljpllpqMtpbrHvOXfq7n1Zjyx9yTVuiispScneTuyG29WFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqOsagNK0i6vdnmPEn7uMdZHPCKPcsQPxqoxc5KK3YFLSx/aHibU9RPMVqBYW59xh5SPqxRfrHW/WfomnHSdGtrNn8yVF3TSf89JGJZ2/Fix/GtCqryUp+7stF6L/AD3NYqyCiiisRhRRRQAUUUUAIyhlKsAVIwQehrn/AAyWtLe50SQkyaZJ5UeTy0B5iP8A3z8ufVDXQ1z+s/8AEs1uw1leIZCLG7/3Xb905/3XO36SE9q6KHvKVLvt6r/NXXq0RNaXNyiiisSAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArDvs6n4msdOHMFkBfXPoWyVhU/8AAg7/AFjHrWxPNHbW8k8zhIo1Lu7dFUDJJrL8LwSmwl1S6QpdanL9pZG6xoQBGnthAufct61vS9yMqnyXq/8AJX+dhpXZuUUUVzGoUUUUAFFFFABRRRQAVW1Cxg1PTrmxuVJhuI2jcA4OCMcehqzRTjJxd1uBi+Hr2a600w3jA39m5trrtl1x82PRlKuPZhWtWDqP/En8R22pji1v9tnd+iyZPkv+JJQ+u5PSt6t66V1OO0tf819/4WMbW0CiiisQCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopskiRRtJIwVFBZmY4AA6k0AYmvj+07qz0BeUuj5137W6EEg/77bU+hb0roawPDMb3a3OuzqRLqLBoVYYMduufKX2yCXI9XI7Vv1tiPdtSX2fz6/5fI0gtLhRRRXOUFFFFABRRRQAUUUUAFFFFAFXUbCDVNOuLG5BMM6FGwcEZ7g9iOoPYis/w/fT3Vi9vekf2hZObe6wMbmABDgejKVYf72O1bVc7rQ/sfVoNeTi2cLa6gOwjz8kp/3GJB/2XY9q6aPvxdLvqvXt8/zsRNdTeooorAgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsHXs6pd2/h6M/Jcjzr0j+G2U8r/AMDPyfTf6VsXl3BYWU13cyCOCFDJI57KBk1n+HbOdIJ9Tvoyl/qDCWRG6woBiOL/AICvX/aLHvW9H3E6r6bev/A3+7uCV3Y2gAAABgDtRRRXMbBRRRQAUUUUAFFFFABRRRQAUUUUAFMmhjuIJIJkWSKRSjowyGUjBBp9FCdtUBz+gzSWks+g3Ts09kAYJHOTNbnhGz3IwVb3XP8AEK3KyfENjcSRQ6np6btRsCXiTp5yH78R/wB4AY9GCntV2wvrfU7CC9tX3wTIHQ4wcehHYjoR2NdNVc69quu/r/wd/vXQxas7FmiiisACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKzta1NtMsQ0MYmvJ3ENrCTjzJW6A+gGCxPYAmqhBzkox3YFG8H9u6/Hpq82Gnsk94e0kv3oovw4c/wDAPU10dZ+jaWukaalt5hmmJMk8zDBllY5Zj9T27DA7VoVVaabUY/CtvPu/n+Vl0NIqyCiiisSgooooAKKKKACiiigAooooAKKKKACiiigArm8f8I7rxHTStUlyvpBdHqPZZP8A0PP9+ukqtqFhb6nYT2V0m+CZSrDOD9QexHUHsRW1Goou0vhe/wDn6r/gEyV0S0VjaHfXG+bSNSfdqNmBmQjH2iI/clH1xhh2YHtjOzSqU3CXKzMKKKKgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooARmVFLMQqgZJJwAKwtFRtZ1FvEMwP2cKYtNRu0R+9Lj1fAx/sgf3jTdUJ17UjoMJP2OMB9TkB6qeVgHu3VvRf8AeFdGqhVCqAFAwAO1bv8AdQ/vS/Bf8H8vUqKvqLRRRXMaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZGu6ZNdJDfaftXVLIl7cscLID96Jj/dYD8CFPap9L1KHVtPju4Ayhsq8bjDxuDhkYdmBBBrQrndVjfQb+TXbZGa0kx/aUKDPAGBOo/vKOG9VHqoB6ab9rH2T3W3+X+Xn6kSXU3qKbHIk0SSxurxuAyspyGB6EGnVgQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZet6nLZRQ21kiy6ldsY7WJume7t/sKOT+A6kVa1HULfSrCW8umIijHRRlmJOAqjuxJAA7k1S0PTrgSy6vqagaldKB5YORbRdViU/qx7t7AY3pRUV7Sey2Xd/5d/u6gld2LukaXFpGnrbRu0rljJNM/3ppG5Z29yfy4A4FXqKKwlJzk5S3ZsFFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR1oooA5mIDwrfJaNxol1Jtt27WkrH/AFZ9EY/d9CdvQrXRU26tYL60ltbqJZYJVKSRuMhgeorD066uNJvk0TUpWlV8/YLxzzMoGfLc/wDPRR/30BnqGx1P9/Hm+0t/Pz9e/wB/cylGxvUUUVziCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApssscMTyyuqRopZnY4CgdST6U6uc/5G27KLzoFu/zt2vpFP3R6xKRz/eIx0BzrSp813LSK3f8AXV9P8rgP02J/EN/HrV1GyWEJzp0DjBbjHnsPUg4UHoDnq3HSUUVFWpzvslsuxqlYKKKKzGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVTUtOttVsXtLpSUbBDKcMjA5DKezA4INW6KcZOLUo7oDA0vUrmC9/sXV2H29VLQTgbVvIx/EB2cfxL26jg1t1U1bSbfWLPyJy6OjCSGeM4khkHR1PYj8iMg5BIqlpeqTi6Ok6tsTUo13K6jCXSD/AJaJ+m5eqn1BBPTKKqx54b9V+q8u66em2TVjYooornEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVgXl1ca7eS6VpczRW0TbL6+jPKHvFGf7/qf4R/tdNKdNzfZLd9gGXUsniW7m0uzkePTIW2X10hwZD3gjP/oTDp0HOSvRwwxW8EcMMaxxRqFREGAoHAAHYVHZ2dvp9nFaWkKw28ShUjQYCip6KtRStGOkV/V35mkY2CiiisSgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqhq2k2+r2oimLxyRt5kE8RxJC46Mp9f0IJByCRV+iqjKUGpReobmDpmq3CXf9kawEj1FVLRyIMR3aD+NPQj+JOo9xg1tVW1TSrXV7P7PcqwwweORDteJx0dG7MPX+lZljqdzY3kela2y/aH4trxRtjuwO2P4ZMdV79V4yB0OMaq5oaPqv1X6rp6bZNWNyiiiucQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVzr3Fx4oka30+V4NIUlZ76M4a49UhPZexk/BeeRpTpuer0S3f8AX5AOuby51+7l03SpmhtImKXuoRnkHvFEf7/q3Rf97pu2VlbadZxWlnCsNvEu1EUcAf5796W1tbextYrW1hSGCJQqRoMBQOwFTUVaqkuSGkV+Pm/60NIxsFFFFYlBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV76wtdTs5LS8hWWCQfMp/Qg9QQeQRyDViimm4u63A5lL668OSpa6xM0+nMQsGpP1TPRJ/Q9g/Q98Hr0VOkjSaJo5UV43BVlYZDA9QRXOG1vPC/wA1lHLeaMPvWq5aa1HrH3dP9jqP4c8LXT7tfbSX4P8Ayf4Py65uNtjoaKgs7221C0jurOdJ4JBlJEOQanrBpp2ZIUUUUgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACori4htLaS4uZUhhjUs8kjAKoHck1X1PVbXSbdZblmLO2yKKNd0kr9lRRyT/8ArOBWfbaRdavcRX2vIqrGwe305W3RxEdGkPR3/wDHV7ZPzVtCkrc83aP4v0/qy/AEr7EKxXPizDTpLaaF2ibKS3o9WHVI/wDZ6t3wOD0scaRRrHGioiAKqqMAAdABTqKipVc9ErJbL+uvn+hqo2CiiishhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAYN5oc9tdyaloUkcF1Id09tJkQXR9WA+6/+2PxDVY0vWoNSeS3aOS1v4QPOtJuJE9x2ZT2YZB/Stas/VNGtdWSMzb47iEloLmFtssJ9Vb+YOQe4NdCqxmuWr9/X591+K/Ahx7FyisAateaI4h18IbcnEepxLiM+0q/8sz7/dPqOlbwIZQykEHkEd6mpSlDV7PZ9H/X3kC0UUVmAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVDdXVvZW0lzdTRwwRjc8kjBVUe5NCTbsgJqx7/W2F22m6VCL3UgBvXdiK3B6NK38Psoyx7DHIriXU/EXFqZtM0s9bhl23E4/2FP8Aq1P95hu9AODW1p+nWml2i2tlAsMKknC9ST1JJ5JPcnk10csKXx6y7dvX/JfNrYai2UtL0NbO4a/vZze6o67WuXXARf7ka/wL7dT3JNa9FFYTqSm7yNErBRRRUDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBGVXUqwDKRggjIIrnn0W80ZjN4edPs+cvpkzYiP8A1ybkxH25X2HWuiorSnVlDbZ9Oj/r7xNJmTput2upSPb7ZLa+iGZbO4G2VPfHRl/2lJB9a0qq6lo9lq0aC6izJEd0UyMUkiPqjjlT9Ovesrzta0Pi7jfVrAdLmBB9pjH+3GOH+qYP+z3rXkhU/h6Ps/0f6PX1M3Fo36KrWGo2ep2oubG5jnhJI3Ic4I6g+hHcHkVZrGUXF2asxBRRRSAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKoalrNjpQjFzKfOl4hgjUvLKfRUHJ/kO+KofZNY1zm9d9JsD/wAu0En+kSD/AG5Bwg9kJP8AtDpWsaLa5pOy7/5d/wCr2DfYmvdeWO6aw023bUNRX70UbYSH3lfon05Y9gaLTQHmuY7/AFudb68jO6KMLtgtz/sJ3b/bbJ9MdK1LGwtNNtVtrK3jggXkJGuBnuT6k+verFN1lFctJW8+r/y9F82y1DuFFFFc5YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGRqHh62u7k3trLLYaiQP9KtSAz46B1PyuPZgfbFVDq2paR8ut2fm24/5f7FGZMerx8sn1G4epFdFRW8a7ty1FzL8V6P/AIdeRLimVbW7tr62S5tLiKeBxlZInDK30Iqasq68N2kl1Je2Ekum3znLz2pAEh/20IKv9SM+hFV/7R1nSvl1Ww+2QD/l805Cxx6vCSWH/AS/4VXsoz/hP5PR/wCT/PyIaaN2iqthqdjqkBmsbqK4jBwxjbO0+hHUH2PNWqxlFxdpKzEFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACis/Udb0/S2SO6uAJ5P8AV28amSWT/dRcsfwFUhJ4g1Y/uYl0a0P/AC0nCy3LD2QEon1Yt7qK1jRk1zPRd3+nV/K4eho6jqtjpMAmvrlIVY7UB5Zz6Ko5Y+wBNZvna5rQxaRHSLM/8vFwga4Yf7MfRPq+T/s1f07QLDTZ2uUR571xh7u4cySsPTceg/2Rge1adV7SnT+BXfd/ov8AO/oilDuZ2maHY6SXkgRpLmQfvbqdjJNJ/vOecew4HYCtGiisJzlN80ndmiVgoooqQCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAytQ8O6bqM/2p4WhvAMC7tnMUw9ty4JHscj2qp5PiPS/9XLBrNuP4ZcQXAH+8Bsc/gn1roKK3jiJpcstV2f6dV8miXFMwrfxPpzzrbXbSaddscCC+TymY+ik/K/8AwEmtmkuLaC7gaC5hjmhcYaORQysPcGsU+F47TnRb+70vHSKNvMg+nlvkKP8Ac20/3M9nyv71/mvuZLgzborD+1eIrD/j70631KIf8tbCTy5P+/Uhx+Tn6U+DxTpEsywTXJsrljgQX0bW7k+wcDd/wHNDw9S146ry1/4K+ZO25s0UdaKxAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKbJIkUbSSOqIoyzMcAD3NYreK9OlYx6cLjVZM4xYRGVc+hk4jH4sK0hSnP4VcDcprukaM8jKqKMlmOABWN/wAVLqA+VLPSYj3c/aZsfQYRT+LinR+FLB3WXU5J9WmU5DXzh0B9RGAIwfcLmr9nCPxy+S1/4H4jUWxjeKLa5Yx6Pbz6tIDjdageSD7ythPwBJ9qBpuu6nzqOopp8B622ncuR6NMwz/3yqn3rfVQqhVACgYAA4FLS9tGP8ONvN6v/L8L+ZSh3KGm6Lp2kK/2G0SJ5OZJeWkkPqznLMfqTV+iisZTlN80ndlhRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRz28N1C0NxDHLE3DJIoZT9QakopptaoDCPhLT4Tu02W70tuwsZikY/7ZHMf/jtNNr4ms/9RfWGooP4LqIwOfrImV/8crforf6zUfx+966/jv8AiTyo5/8At2/tv+Qh4ev4wOslqVuU/JTv/wDHKfB4r0KeURf2lDDMekNzmCQ/8BcA/pW7Uc0EVxEYp4kljPVXUMD+Bo9pSl8ULej/AM7/AJi5BFZXUMpBU8gg8GlrIbwhoO7dBp62bdd1jI9sc/WMrTf+Eeuof+PPxFqsQ7JKY51/N0Lf+PUclF7Tt6r/ACuTys2aKxhaeJoPu6lpl0PSWzeNj9WWQj/x2mm78Swn97oljMPW21A5P4PGoH50exv8Mk/nb87CszborE/ty/j4n8Maqn+1G0Eg/SXP6Uf8JRapxNp+sxH/ALBk7/qitT+rVXsr+ln+QG3RWH/wl2ij/WXE8X/Xa0mj/wDQkFH/AAmPhwfe1qzT/fkC/wA6Pqtf+R/cxXRuUVh/8Jn4X7+I9IX/AHr2MfzNH/CZ+Fv+hl0b/wAD4v8A4qj6rX/kf3MLo3KKw/8AhM/C/bxFpTf7t5G38jR/wmPh0/d1e1f/AK5tu/lR9Vr/AMj+5hdG5RWH/wAJbpB/1b3kv/XGwnk/9BQ0o8TRSf6jStZl/wC4fJH/AOjAtH1at1i18rAbdFYn9tapJ/qPC+o/7081ug/SQn9KUXHieY/LpemWy+st87t/3yseP/HqX1eXVr/wJf5j1NqisY2HiOf/AFus2VuvpbWJLD/gTyEf+O0f8I00pze67rFyO6i4EA/8gqh/Wj2dNbzXyT/yS/EfKzWmmit4zJNKkcY6s7AAfiax28XaIWKW14b6QcbLCJ7k59P3YOPxqaHwnoMEgl/sq3lmXkS3C+c4/wCBPk/rWwqqihVACjgADgUXoLu/uX+Y+RmB/a+s3X/Hh4dmQHpJqFwkC/XC73/NRThp2v3Y/wBM1mG0U/wafbDcP+Bybs/goreoo9vb4Ipfj+d/wHyIxIvCekCRZbqB9QmByJL+Vp8H1AYlV/4CBW0qhVCqAFAwABwKWisp1Z1PjdykktgoooqBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9k=)\n \n\nNext, let \\(T\\) denote the circumcenter of \\(\\triangle A^{\\prime}EF\\) . (This will be the tangency point later in the problem.) \n\nClaim — Point \\(T\\) also lies on \\(\\overline{BA^{\\prime}}\\) and is also the arc midpoint of \\(\\overline{EF}\\) on \\((BEF)\\) . \n\nProof. We compute the angles of \\(\\triangle A^{\\prime}EF\\) : \n\n\\[\\angle FEA^{\\prime} = \\angle AEC = \\angle ABC = \\angle CAB = 90^{\\circ} - \\alpha\\] \\[\\angle A^{\\prime}FE = \\angle DFA = \\angle DBA = \\angle BAD = 90^{\\circ} - \\beta\\] \\[\\angle EA^{\\prime}F = \\alpha +\\beta .\\] \n\nThen, since \\(T\\) is the circumcenter, it follows that: \n\n\\[\\angle EA^{\\prime}T = \\angle 90^{\\circ} - \\angle A^{\\prime}FE = \\beta = \\angle A^{\\prime}CD = \\angle CA^{\\prime}B.\\] \n\nThis shows that \\(T\\) lies on \\(\\overline{BA^{\\prime}}\\) . \n\nAlso, we have \\(\\angle ETF = 2\\angle EA^{\\prime}F = 2(\\alpha +\\beta)\\) and \n\n\\[\\angle EBF = \\angle EBA + \\angle ABF = \\angle ECA + \\angle ADF\\]\n\n\n\n\\[= \\angle A^{\\prime}C A + \\angle A D A^{\\prime} = (\\alpha +\\beta) + (\\alpha +\\beta) = 2(\\alpha +\\beta)\\] \n\nwhich proves that \\(T\\) also lies on \\(\\overline{AB^{\\prime}}\\) . \n\nWe then bring \\(M\\) and \\(N\\) into the picture as follows: \n\nClaim — Point \\(T\\) lies on both lines \\(ME\\) and \\(NF\\) . \n\nProof. To show that \\(F\\) , \\(T\\) , \\(N\\) are collinear, note that \\(\\triangle F E A^{\\prime} \\sim \\triangle F A D\\) via a homothety at \\(F\\) . This homothety maps \\(T\\) to \\(N\\) . \\(\\square\\) \n\nWe now deal with point \\(H\\) using two claims. \n\nClaim — We have \\(\\overline{M H} \\parallel \\overline{A D}\\) and \\(\\overline{N H} \\parallel \\overline{A C}\\) . \n\nProof. Note that \\(\\overline{M H} \\perp \\overline{P N}\\) , but \\(\\overline{P N}\\) is the perpendicular bisector of \\(\\overline{A D}\\) , so in fact \\(\\overline{M H} \\parallel \\overline{A D}\\) . Similarly, \\(\\overline{N H} \\parallel \\overline{A C}\\) . \\(\\square\\) \n\nClaim — Lines \\(\\overline{M H}\\) and \\(\\overline{N H}\\) bisect \\(\\angle N M T\\) and \\(\\angle M N T\\) . In fact, point \\(H\\) is the incenter of \\(\\triangle T M N\\) , and \\(\\angle N T H = \\angle H T M = 90^{\\circ} - (\\alpha +\\beta)\\) . \n\nProof. Hence, \\(\\angle H M N = \\angle A^{\\prime}C D = \\angle A D C = \\beta\\) . But \\(\\angle T M N = \\angle C M E = 2\\angle C A E =\\) \\(- 2(90^{\\circ} - 2\\beta) = 2\\beta\\) . That proves \\(\\overline{M H}\\) bisects \\(\\angle N M T\\) ; the other one is similar. \n\nTo show that \\(H\\) is an incenter (rather than an excenter) and get the last angle equality, we need to temporarily undirect our angles. Assume WLOG that \\(\\triangle A C D\\) is directed counterclockwise. The problem condition that \\(C\\) and \\(D\\) are the farther intersections of line \\(M N\\) mean that \\(\\angle N H M = \\angle C A D > 90^{\\circ}\\) . We are also promised \\(C\\) , \\(M\\) , \\(N\\) , \\(D\\) are collinear in that order. Hence the reflections of line \\(M N\\) over lines \\(M H\\) and \\(N H\\) , which meet at \\(T\\) , should meet at a point for which \\(T\\) lies on the same side as \\(H\\) . In other words, \\(\\triangle M T N\\) is oriented counterclockwise and contains \\(H\\) . \n\nWorking with undirected \\(\\alpha = \\angle D C A\\) and \\(\\beta = \\angle A D C\\) with \\(\\alpha + \\beta < 90^{\\circ}\\) , \n\n\\[\\angle N T H = \\angle H T M = \\frac{1}{2}\\angle N T M = \\frac{1}{2} (180^{\\circ} - 2(\\alpha +\\beta)) = 90^{\\circ} - (\\alpha +\\beta).\\] \n\nThis matches the claim and finishes the result. \\(\\square\\) \n\nNow \n\n\\[\\angle N F A = 90^{\\circ} - \\angle A D F = 90^{\\circ} - (\\alpha +\\beta) = \\angle N T H\\] \n\nso \\(\\overline{H T} \\parallel \\overline{A P}\\) . And since \\(T E = T F\\) , we have the tangency requested too now, as desired. \n\nRemark. There are many other ways to describe the point \\(T\\) . For example, \\(A M T N\\) is a parallelogram and \\(M B T N\\) is an isosceles trapezoid. In coordination, we joked that it was impossible to write a false conjecture.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2025/2, proposed by Tran Quang Hung (VNM) \n"}} +{"year": "2025", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "A line in the plane is called sunny if it is not parallel to any of the \\(x\\) -axis, the \\(y\\) -axis, or the line \\(x + y = 0\\) . \n\nLet \\(n \\geq 3\\) be a given integer. Determine all nonnegative integers \\(k\\) such that there exist \\(n\\) distinct lines in the plane satisfying both of the following: \n\n- for all positive integers \\(a\\) and \\(b\\) with \\(a + b \\leq n + 1\\) , the point \\((a, b)\\) lies on at least one of the lines; and \n\n- exactly \\(k\\) of the \\(n\\) lines are sunny.", "solution": "y. \n\nThe answer is 0, 1, or 3 sunny lines. \n\nIn what follows, we draw the grid as equilateral instead of a right triangle; this has no effect on the problem statement but is more symmetric. \n\nWe say a long line is one of the three lines at the edge of the grid, i.e. one of the (non- sunny) lines passing through \\(n\\) points. The main claim is the following. \n\nClaim — If \\(n \\geq 4\\) , any set of \\(n\\) lines must have at least one long line. \n\nProof. Consider the \\(3(n - 1)\\) points on the outer edge of the grid. If there was no long line, each of the \\(n\\) lines passes through at most two such points. So we obtain \\(2n \\geq 3(n - 1)\\) , which forces \\(n \\leq 3\\) . \\(\\square\\) \n\nHence, by induction we may repeatedly delete a long line without changing the number of sunny lines until \\(n = 3\\) (and vice- versa: given a construction for smaller \\(n\\) we can increase \\(n\\) by one and add a long line). \n\nWe now classify all the ways to cover the \\(1 + 2 + 3 = 6\\) points in an \\(n = 3\\) grid with 3 lines. \n\n![md5:95882ce6662c1258b42bfe186a824f55](95882ce6662c1258b42bfe186a824f55.jpeg)\n\n
Long line present
\n\n![md5:9cb6d152e8240eedcb5065bcf40072d9](9cb6d152e8240eedcb5065bcf40072d9.jpeg)\n\n
No long line
\n\n- If there is a long line (say, the red one in the figure), the remaining \\(1 + 2 = 3\\) points (circled in blue) are covered with two lines. One of the lines passes through 2 points\n\n\n\nand must not be sunny; the other line may or may not be sunny. Hence in this case the possible counts of sunny lines are 0 or 1. \n\n- If there is no long line, each of the three lines passes through at most 2 points. But there are 6 total lines, so in fact each line must pass through exactly two points. The only way to do this is depicted in the figure in the right. In this case there are 3 sunny lines. \n\nThis proves that 0, 1, 3 are the only possible answers. \n\nRemark. The concept of a sunny line is not that important to the problem. The proof above essentially classifies all the ways to cover the \\(1 + 2 + \\dots + n\\) points with exactly \\(n\\) lines. Namely, one should repeatedly take a long line and decrease \\(n\\) until \\(n = 3\\) , and then pick one of the finitely many cases for \\(n = 3\\) . The count of sunny lines just happens to be whatever is possible for \\(n = 3\\) , since long lines are not sunny.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) IMO 2025/1, proposed by Linus Tang (USA) \n"}} +{"year": "2025", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(\\Omega\\) and \\(\\Gamma\\) be circles with centres \\(M\\) and \\(N\\) , respectively, such that the radius of \\(\\Omega\\) is less than the radius of \\(\\Gamma\\) . Suppose \\(\\Omega\\) and \\(\\Gamma\\) intersect at two distinct points \\(A\\) and \\(B\\) . Line \\(MN\\) intersects \\(\\Omega\\) at \\(C\\) and \\(\\Gamma\\) at \\(D\\) , so that \\(C\\) , \\(M\\) , \\(N\\) , \\(D\\) lie on \\(MN\\) in that order. Let \\(P\\) be the circumcenter of triangle \\(ACD\\) . Line \\(AP\\) meets \\(\\Omega\\) again at \\(E \\neq A\\) and meets \\(\\Gamma\\) again at \\(F \\neq A\\) . Let \\(H\\) be the orthocenter of triangle \\(PMN\\) . Prove that the line through \\(H\\) parallel to \\(AP\\) is tangent to the circumcircle of triangle \\(BEF\\) .", "solution": "L . \n\nThroughout the solution, we define \n\n\\[\\alpha := \\angle DCA = \\angle BCD \\Rightarrow \\angle PAD = \\angle CAB = 90^{\\circ} - \\alpha\\] \\[\\beta := \\angle ADC = \\angle CDB \\Rightarrow \\angle CAP = \\angle BAD = 90^{\\circ} - \\beta .\\] \n\nIgnore the points \\(H\\) , \\(M\\) , \\(N\\) for now and focus on the remaining ones. \n\nClaim — We have \\(\\overline{CE} \\parallel \\overline{AD}\\) and \\(\\overline{DF} \\parallel \\overline{AC}\\) . \n\nProof. \\(\\angle AEC = \\angle ABC = \\angle CAB = 90^{\\circ} - \\alpha\\) . \n\nHence, if we let \\(A' := \\overline{CE} \\cap \\overline{DF}\\) , we have a parallelogram \\(ACA'D\\) . Note in particular that \\(\\overline{BA'} \\parallel \\overline{CD}\\) .\n\n\n![md5:4ce6565dd7a68ad0a5eb9af412eb954f](4ce6565dd7a68ad0a5eb9af412eb954f.jpeg)\n \n\nNext, let \\(T\\) denote the circumcenter of \\(\\triangle A^{\\prime}EF\\) . (This will be the tangency point later in the problem.) \n\nClaim — Point \\(T\\) also lies on \\(\\overline{BA^{\\prime}}\\) and is also the arc midpoint of \\(\\overline{EF}\\) on \\((BEF)\\) . \n\nProof. We compute the angles of \\(\\triangle A^{\\prime}EF\\) : \n\n\\[\\angle FEA^{\\prime} = \\angle AEC = \\angle ABC = \\angle CAB = 90^{\\circ} - \\alpha\\] \\[\\angle A^{\\prime}FE = \\angle DFA = \\angle DBA = \\angle BAD = 90^{\\circ} - \\beta\\] \\[\\angle EA^{\\prime}F = \\alpha +\\beta .\\] \n\nThen, since \\(T\\) is the circumcenter, it follows that: \n\n\\[\\angle EA^{\\prime}T = \\angle 90^{\\circ} - \\angle A^{\\prime}FE = \\beta = \\angle A^{\\prime}CD = \\angle CA^{\\prime}B.\\] \n\nThis shows that \\(T\\) lies on \\(\\overline{BA^{\\prime}}\\) . \n\nAlso, we have \\(\\angle ETF = 2\\angle EA^{\\prime}F = 2(\\alpha +\\beta)\\) and \n\n\\[\\angle EBF = \\angle EBA + \\angle ABF = \\angle ECA + \\angle ADF\\]\n\n\n\n\\[= \\angle A^{\\prime}C A + \\angle A D A^{\\prime} = (\\alpha +\\beta) + (\\alpha +\\beta) = 2(\\alpha +\\beta)\\] \n\nwhich proves that \\(T\\) also lies on \\(\\overline{AB^{\\prime}}\\) . \n\nWe then bring \\(M\\) and \\(N\\) into the picture as follows: \n\nClaim — Point \\(T\\) lies on both lines \\(ME\\) and \\(NF\\) . \n\nProof. To show that \\(F\\) , \\(T\\) , \\(N\\) are collinear, note that \\(\\triangle F E A^{\\prime} \\sim \\triangle F A D\\) via a homothety at \\(F\\) . This homothety maps \\(T\\) to \\(N\\) . \\(\\square\\) \n\nWe now deal with point \\(H\\) using two claims. \n\nClaim — We have \\(\\overline{M H} \\parallel \\overline{A D}\\) and \\(\\overline{N H} \\parallel \\overline{A C}\\) . \n\nProof. Note that \\(\\overline{M H} \\perp \\overline{P N}\\) , but \\(\\overline{P N}\\) is the perpendicular bisector of \\(\\overline{A D}\\) , so in fact \\(\\overline{M H} \\parallel \\overline{A D}\\) . Similarly, \\(\\overline{N H} \\parallel \\overline{A C}\\) . \\(\\square\\) \n\nClaim — Lines \\(\\overline{M H}\\) and \\(\\overline{N H}\\) bisect \\(\\angle N M T\\) and \\(\\angle M N T\\) . In fact, point \\(H\\) is the incenter of \\(\\triangle T M N\\) , and \\(\\angle N T H = \\angle H T M = 90^{\\circ} - (\\alpha +\\beta)\\) . \n\nProof. Hence, \\(\\angle H M N = \\angle A^{\\prime}C D = \\angle A D C = \\beta\\) . But \\(\\angle T M N = \\angle C M E = 2\\angle C A E =\\) \\(- 2(90^{\\circ} - 2\\beta) = 2\\beta\\) . That proves \\(\\overline{M H}\\) bisects \\(\\angle N M T\\) ; the other one is similar. \n\nTo show that \\(H\\) is an incenter (rather than an excenter) and get the last angle equality, we need to temporarily undirect our angles. Assume WLOG that \\(\\triangle A C D\\) is directed counterclockwise. The problem condition that \\(C\\) and \\(D\\) are the farther intersections of line \\(M N\\) mean that \\(\\angle N H M = \\angle C A D > 90^{\\circ}\\) . We are also promised \\(C\\) , \\(M\\) , \\(N\\) , \\(D\\) are collinear in that order. Hence the reflections of line \\(M N\\) over lines \\(M H\\) and \\(N H\\) , which meet at \\(T\\) , should meet at a point for which \\(T\\) lies on the same side as \\(H\\) . In other words, \\(\\triangle M T N\\) is oriented counterclockwise and contains \\(H\\) . \n\nWorking with undirected \\(\\alpha = \\angle D C A\\) and \\(\\beta = \\angle A D C\\) with \\(\\alpha + \\beta < 90^{\\circ}\\) , \n\n\\[\\angle N T H = \\angle H T M = \\frac{1}{2}\\angle N T M = \\frac{1}{2} (180^{\\circ} - 2(\\alpha +\\beta)) = 90^{\\circ} - (\\alpha +\\beta).\\] \n\nThis matches the claim and finishes the result. \\(\\square\\) \n\nNow \n\n\\[\\angle N F A = 90^{\\circ} - \\angle A D F = 90^{\\circ} - (\\alpha +\\beta) = \\angle N T H\\] \n\nso \\(\\overline{H T} \\parallel \\overline{A P}\\) . And since \\(T E = T F\\) , we have the tangency requested too now, as desired. \n\nRemark. There are many other ways to describe the point \\(T\\) . For example, \\(A M T N\\) is a parallelogram and \\(M B T N\\) is an isosceles trapezoid. In coordination, we joked that it was impossible to write a false conjecture.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) IMO 2025/2, proposed by Tran Quang Hung (VNM) \n"}} {"year": "2025", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "A function \\(f: \\mathbb{N} \\to \\mathbb{N}\\) is said to be bonza if \n\n\\[f(a) \\quad \\text{divides} \\quad b^{a} - f(b)^{f(a)}\\] \n\nfor all positive integers \\(a\\) and \\(b\\) . \n\nDetermine the smallest real constant \\(c\\) such that \\(f(n) \\leq cn\\) for all bonza functions \\(f\\) and all positive integers \\(n\\) .", "solution": "The answer is \\(c = 4\\) \n\nLet \\(P(a,b)\\) denote the given statement \\(f(a)\\mid b^{a} - f(b)^{f(a)}\\) \n\nClaim — We have \\(f(n)\\mid n^{n}\\) for all \\(n\\) \n\nProof. Take \\(P(n,n)\\) \n\nClaim — Unless \\(f = \\mathrm{id}\\) , we have \\(f(p) = 1\\) for all odd primes \\(p\\) \n\nProof. Consider any prime \\(q\\) with \\(f(q) > 1\\) . Then \\(f(q)\\) is a power of \\(q\\) , and for each \\(n\\) we get \n\n\\[P(q,n)\\Rightarrow q\\mid f(q)\\mid n^{q} - f(n)^{f(q)}.\\] \n\nFermat's little theorem now gives \\(n^{q}\\equiv n\\) (mod \\(q\\) ) and \\(f(n)^{f(q)}\\equiv f(n)\\) (mod \\(q\\) ) (since \\(f(q)\\) is a power of \\(q\\) ), and therefore \\(q\\mid n - f(n)\\) . Hence, unless \\(f\\) is the identity function, only finitely many \\(q\\) could have \\(f(q) > 1\\) . \n\nNow let \\(p\\) be any odd prime, and let \\(q\\) be a large prime such that \\(q\\not\\equiv 1\\) (mod \\(p\\) ) (possible for all \\(p > 2\\) , say by Dirichlet). Then \n\n\\[P(p,q)\\Rightarrow f(p)\\mid q^{p} - 1^{p}.\\] \n\nThe RHS is \\(q^{p} - 1\\equiv q - 1\\not\\equiv 0\\) (mod \\(p\\) ), so \\(f(p) = 1\\) \n\nClaim — We have \\(f(n)\\mid 2^{\\infty}\\) for all \\(n\\) \n\nProof. If \\(p\\mid f(n)\\) is odd then \\(P(n,p)\\) gives \\(p\\mid f(n)\\mid p^{n} - 1^{n}\\) , contradiction. \n\n(In particular, we now know \\(f(n) = 1\\) for all odd \\(n\\) , though we don't use this.) \n\nClaim — We have \\(f(n)\\leq 2^{\\nu_{2}(n) + 2}\\) for all \\(n\\) \n\nProof. Consider \\(P(n,5)\\Rightarrow f(n)\\mid 5^{n} - 1^{n}\\) . It's well- known that \\(\\nu_{2}(5^{n} - 1) = \\nu_{2}(n) + 2\\) for all \\(n\\) .\n\n\n\nThis immediately shows \\(f(n) \\leq 4n\\) for all \\(n\\) , hence \\(c = 4\\) in the problem statement works. For the construction, the simplest one seems to be \n\n\\[f(n) = \\left\\{ \\begin{array}{ll}1 & n \\mathrm{odd} \\\\ 16 & n = 4 \\\\ 2 & n \\mathrm{even}, n \\neq 4 \\end{array} \\right.\\] \n\nwhich is easily checked to work and has \\(f(4) = 16\\) . \n\nRemark. With a little more case analysis we can classify all functions \\(f\\) . The two trivial solutions are \\(f(n) = n\\) and \\(f(n) = 1\\) ; the others are described by writing \\(f(n) = 2^{e(n)}\\) for any function \\(e\\) satisfying \n\n\\(\\cdot e(n) = 0\\) for odd \\(n\\) \n\n\\(\\cdot 1 \\leq e(2) \\leq 2\\) \n\n\\(\\cdot 1 \\leq e(n) \\leq \\nu_{2}(n) + 2\\) for even \\(n > 2\\) \n\nThis basically means that there are almost no additional constraints beyond what is suggested by the latter two claims.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) IMO 2025/3, proposed by Lorenzo Sarria (COL) \n"}} {"year": "2025", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "An infinite sequence \\(a_{1}, a_{2}, \\ldots\\) consists of positive integers has each of which has at least three proper divisors. Suppose that for each \\(n \\geq 1\\) , \\(a_{n+1}\\) is the sum of the three largest proper divisors of \\(a_{n}\\) . Determine all possible values of \\(a_{1}\\) .", "solution": "An) . \n\nThe answer is \\(a_{1} = 12^{e} \\cdot 6 \\cdot \\ell\\) for any \\(e, \\ell \\geq 0\\) with \\(\\gcd (\\ell , 10) = 1\\) . \n\nLet \\(\\mathbf{S}\\) denote the set of positive integers with at least three divisors. For \\(x \\in \\mathbf{S}\\) , let \\(\\psi (x)\\) denote the sum of the three largest ones, so that \\(\\psi (a_{n}) = a_{n + 1}\\) . \n\nProof that all such \\(a_{1}\\) work. Let \\(x = 12^{e} \\cdot 6 \\cdot \\ell \\in \\mathbf{S}\\) with \\(\\gcd (\\ell , 10) = 1\\) . As \\(\\frac{1}{2} + \\frac{1}{3} + \\frac{1}{4} = \\frac{13}{12}\\) , we get \n\n\\[\\psi (x) = \\left\\{ \\begin{array}{ll}x & e = 0\\] \\[\\frac{13}{12} x & e > 0 \\end{array} \\right.\\] \n\nso by induction on the value of \\(e\\) we see that \\(\\psi (x) \\in \\mathbf{S}\\) (the base \\(e = 0\\) coming from \\(\\psi\\) fixing \\(x\\) ). \n\nProof that all \\(a_{1}\\) are of this form. In what follows \\(x\\) is always an element of \\(\\mathbf{S}\\) , not necessarily an element of the sequence. \n\nClaim — Let \\(x \\in \\mathbf{S}\\) . If \\(2 \\mid \\psi (x)\\) then \\(2 \\mid x\\) . \n\nProof. If \\(x\\) is odd then every divisor of \\(x\\) is odd, so \\(\\psi (x)\\) is the sum of three odd numbers. \n\nClaim — Let \\(x \\in \\mathbf{S}\\) . If \\(6 \\mid \\psi (x)\\) then \\(6 \\mid x\\) . \n\nProof. We consider only \\(x\\) even because of the previous claim. We prove the contrapositive that \\(3 \\nmid x \\implies 6 \\nmid \\psi (x)\\) (for even \\(x\\) ). \n\n- If \\(4 \\mid x\\) , then letting \\(d\\) be the third largest proper divisor of \\(x\\) , \n\n\\[\\psi (x) = \\frac{x}{2} + \\frac{x}{4} +d = \\frac{3}{4} x + d \\equiv d \\not\\equiv 0 \\pmod {3}.\\] \n\n- Otherwise, let \\(p \\mid x\\) be the smallest prime dividing \\(x\\) , with \\(p > 3\\) . If the third-smallest nontrivial divisor of \\(x\\) is \\(2p\\) , then \n\n\\[\\psi (x) = \\frac{x}{2} + \\frac{x}{p} + \\frac{x}{2p} = \\frac{3}{2p} x + \\frac{x}{2} \\equiv \\frac{x}{2} \\not\\equiv 0 \\pmod {3}.\\] \n\nIf the third- smallest nontrivial divisor of \\(x\\) is instead an odd prime \\(q\\) , then \n\n\\[\\psi (x) = \\frac{x}{2} + \\frac{x}{p} + \\frac{x}{q} \\equiv 1 + 0 + 0 \\equiv 1 \\pmod {2}.\\] \n\nTo tie these two claims into the problem, we assert:\n\n\n\nClaim — Every \\(a_{i}\\) must be divisible by 6. \n\nProof. The idea is to combine the previous two claims (which have no dependence on the sequence) with a size argument. \n\n- For odd \\(x \\in \\mathbf{S}\\) note that \\(\\psi (x) < \\left(\\frac{1}{3} + \\frac{1}{5} + \\frac{1}{7}\\right)x < x\\) and \\(\\psi (x)\\) is still odd. So if any \\(a_{i}\\) is odd the sequence is strictly decreasing and that's impossible. Hence, we may assume \\(a_{1}, a_{2}, \\ldots\\) are all even. \n\n- If \\(x \\in \\mathbf{S}\\) is even but \\(3 \\nmid x\\) then \\(\\psi (x) < \\left(\\frac{1}{2} + \\frac{1}{4} + \\frac{1}{5}\\right)x < x\\) and \\(\\psi (x)\\) is still not a multiple of 3. So if any \\(a_{i}\\) is not divisible by 3 the sequence is again strictly decreasing. \\(\\square\\) \n\nOn the other hand, if \\(x\\) is a multiple of 6, we have the following formula for \\(\\psi (x)\\) : \n\n\\[\\psi (x) = \\left\\{ \\begin{array}{ll}\\frac{13}{12} x & 4\\mid x\\] \\[\\frac{31}{30} x & 4\\mid x\\mathrm{~but~}5\\mid x\\] \\[x & 4\\mid x\\mathrm{~and~}5\\mid x. \\end{array} \\right.\\] \n\nLooking back on our sequence of \\(a_{i}\\) (which are all multiples of 6), the center case cannot happen with our \\(a_{i}\\) , because \\(\\frac{31}{30} x\\) is odd when \\(x \\equiv 2\\) (mod 4). Hence in actuality \n\n\\[a_{n + 1} = \\frac{13}{12} a_{n}\\quad \\mathrm{or}\\quad a_{n + 1} = a_{n}\\] \n\nfor every \\(n\\) . \n\nLet \\(T\\) be the smallest index such that \\(a_{T} = a_{T + 1} = a_{T + 2} = \\dots\\) (it must exist because we cannot multiply by \\(\\frac{13}{12}\\) forever). Then we can exactly describe the sequence by \n\n\\[a_{n} = a_{1}\\cdot \\left(\\frac{13}{12}\\right)^{\\min (n,T) - 1}.\\] \n\nHence \\(a_{1} = \\left(\\frac{12}{13}\\right)^{T - 1}a_{T}\\) , and since \\(a_{T}\\) is a multiple of 6 not divisible by 4 or 5, it follows \\(a_{1}\\) has the required form.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) IMO 2025/4, proposed by Paulius Aleknavičius (LIT) \n"}} {"year": "2025", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "Alice and Bazza are playing the inekolaty game, a two-player game whose rules depend on a positive real number \\(\\lambda\\) which is known to both players. On the \\(n\\) th turn of the game (starting with \\(n = 1\\) ) the following happens: \n\n- If \\(n\\) is odd, Alice chooses a nonnegative real number \\(x_{n}\\) such that \n\n\\[x_{1} + x_{2} + \\dots +x_{n}\\leq \\lambda n.\\] \n\n- If \\(n\\) is even, Bazza chooses a nonnegative real number \\(x_{n}\\) such that \n\n\\[x_{1}^{2} + x_{2}^{2} + \\dots +x_{n}^{2}\\leq n.\\] \n\nIf a player cannot choose a suitable \\(x_{n}\\) , the game ends and the other player wins. If the game goes on forever, neither player wins. All chosen numbers are known to both players. \n\nDetermine all values of \\(\\lambda\\) for which Alice has a winning strategy and all those for which Bazza has a winning strategy.", "solution": "he answer is that Alice has a winning strategy for \\(\\lambda >1 / \\sqrt{2}\\) , and Bazz a has a winning strategy for \\(\\lambda < 1 / \\sqrt{2}\\) . (Neither player can guarantee winning for \\(\\lambda = 1 / \\sqrt{2}\\) .) \n\nWe divide the proof into two parts. \n\n\\(\\P\\) Alice's strategy when \\(\\lambda \\geq 1 / \\sqrt{2}\\) . Consider the strategy where Alice always plays \\(x_{2i + 1} = 0\\) for \\(i = 0,\\ldots ,k - 1\\) \n\nIn this situation, when \\(n = 2k + 1\\) we have \n\n\\[\\sum_{1}^{2k}x_{i} = 0 + x_{2} + 0 + x_{4} + \\dots +0 + x_{2k}\\] \\[\\qquad \\leq k\\cdot \\sqrt{\\frac{x_{2}^{2} + \\dots + x_{2k}^{2}}{k}} = \\sqrt{2}\\cdot k< \\lambda \\cdot (2k + 1)\\] \n\nand so the choices for \\(x_{2k + 1}\\) are \n\n\\[x_{2k + 1}\\in [0,\\lambda \\cdot (2k + 1) - \\sqrt{2} k]\\] \n\nwhich is nonempty. Hence Alice can't ever lose with this strategy. \n\nBut suppose further \\(\\lambda >\\frac{1}{\\sqrt{2}}\\) ; we show Alice can win. Choose \\(k\\) large enough that \n\n\\[\\sqrt{2}\\cdot k< \\lambda \\cdot (2k + 1) - \\sqrt{2k + 2}.\\] \n\nThen on the \\((2k + 1)\\) st turn, Alice can (after playing 0 on all earlier turns) play a number greater than \\(\\sqrt{2k + 2}\\) and cause Bazz a to lose.\n\n\n\n\\(\\parallel\\) Baza strategy when \\(\\lambda \\leq 1 / \\sqrt{2}\\) . Consider the strategy where Baza always plays \\(x_{2i + 2} = \\sqrt{2 - x_{2i + 1}^{2}}\\) for all \\(i = 0,\\ldots ,k - 1\\) (i.e. that is, the largest possible value Baza can play). \n\nTo analyze Baza's choices on each of his turns, we first need to estimate \\(x_{2k + 1}\\) . We do this by writing \n\n\\[\\lambda \\cdot (2k + 1)\\geq x_{1} + x_{2} + \\cdot \\cdot \\cdot +x_{2k + 1}\\] \\[\\qquad = \\left(x_{1} + \\sqrt{2 - x_{1}^{2}}\\right) + \\left(x_{3} + \\sqrt{2 - x_{3}^{2}}\\right)\\] \\[\\qquad \\qquad +\\cdot \\cdot \\cdot +\\left(x_{2k - 1} + \\sqrt{2 - x_{2k}^{2}}\\right) + x_{2k + 1}\\] \\[\\qquad \\geq \\underbrace{\\sqrt{2} + \\cdot \\cdot \\cdot + \\sqrt{2}}_{k\\mathrm{~times}} + x_{2k + 1} = \\sqrt{2}\\cdot k + x_{2k + 1}\\] \n\nwhere we have used the fact that \\(t + \\sqrt{2 - t^{2}}\\geq 2\\) for all \\(t\\geq 0\\) . This means that \n\n\\[x_{2k + 1}\\leq \\lambda \\cdot (2k + 1) - \\sqrt{2} k< \\sqrt{2}.\\] \n\nAnd \\(x_{1}^{2} + x_{2}^{2} + \\cdot \\cdot \\cdot +x_{2k}^{2} + x_{2k + 1}^{2} = (2 + \\cdot \\cdot \\cdot +2) + x_{2k + 1}^{2}\\) , Baza can indeed choose \\(x_{2k + 2} = \\sqrt{2 - x_{2k + 1}^{2}}\\) and always has a move. \n\nBut suppose further \\(\\lambda < 1 / \\sqrt{2}\\) . Then the above calculation also shows that Alice couldn't have made a valid choice for large enough \\(k\\) , since \\(\\lambda \\cdot (2k + 1) - \\sqrt{2} k< 0\\) for large \\(k\\) . \n\nRemark. In the strategies above, we saw that Alice prefers to always play 0 and Baza prefers to always play as large as possible. One could consider what happens in the opposite case: \n\n- If Alice tries to always play the largest number possible, her strategy still wins for \\(\\lambda >1\\) . \n\n- If Baza tries to always play 0, Alice can win no matter the value for \\(\\lambda >0\\) .", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) IMO 2025/5, proposed by Massimiliano Foschi, Leonardo Franchi (ITA) \n"}} -{"year": "2025", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Consider a \\(2025 \\times 2025\\) grid of unit squares. Matilda wishes to place on the grid some rectangular tiles, possibly of different sizes, such that each side of every tile lies on a grid line and every unit square is covered by at most one tile. \n\nDetermine the minimum number of tiles Matilda needs to place so that each row and each column of the grid has exactly one unit square that is not covered by any tile.", "solution": "The answer is \\(2112 = 2025 + 2 \\cdot 45 - 3\\) . In general, the answer turns out to be \\([n + 2 \\sqrt{n} - 3]\\) , but when \\(n\\) is not a perfect square the solution is more complicated. \n\nRemark. The 2017 Romanian Masters in Math asked the same problem where the tiles are replaced by sticks, i.e. \\(1 \\times k\\) tiles. The answer to that problem is completely different and as far as I know there is no connection at all to the present IMO problem. \n\nConstruction. We show a general construction when \\(n = k^{2}\\) illustrated below for \\(k = 5\\) ; it generalizes readily. There are a total of \\((k - 1)^{2}\\) tiles which are \\(k \\times k\\) squares and another \\(4(k - 1)\\) tiles on the boundary, giving a total of \n\n\\[(k - 1)^{2} + 4(k - 1) = k^{2} + 2k - 3\\] \n\ntiles as promised. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nRemark. Ironically, the construction obtaining the answer in the floor pattern at Sunshine Coast airport, the closest airport to the site of the exam. See this image or this image. \n\nBound. There are several approaches (all hard), but the shortest proof seems to be the following one that exploits the Erdős- Szekeres theorem; it is Solution 6 in the shortlist. The theorem being quoted is: \n\n## Theorem (Erdős- Szekeres) \n\nLet \\(n \\geq 1\\) be an integer. Given a permutation of \\((1, \\ldots , n)\\) , if a longest increasing subsequence (LIS) has length \\(a\\) and a longest decreasing subsequence (LDS) has length \\(b\\) , then \\(ab \\geq n\\) . \n\nThis is a stronger version of the theorem compared to another version which instead just asserts that \\(\\max (a, b) \\geq \\sqrt{n}\\) . \n\nTo apply this to the present problem, take the \\(n\\) uncovered squares which we henceforth call \"black\" as a permutation. Then consider both an LIS of length \\(a\\) and an LDS of length \\(b\\) . We do the following artistic illustration: \n\n- Draw the LIS as a broken line, then connect it to the southwest and northwest corner of the board.- Similarly, draw the LDS as a broken line, then connect it to the northwest and southeast corner of the board.- These two steps partition the board into four quadrants, which we call north, east, south, west.- For each black cell in the north quadrant, write an \\(\\mathbf{N}\\) in the cell above it (for the cell in the first row, this will be off the board). Do the same for \\(\\mathbf{E}\\) (east), \\(\\mathbf{S}\\) (south), \\(\\mathbf{W}\\) (west).- Some black cells are in multiple quadrants (i.e. part of the LIS/LDS). Write all letters in that case. \n\nThe figure below shows two examples of the process, each for a board with \\(n = 9\\) , for two choices of LIS and LDS. The cells in the LIS and LDS have been marked with green circles, and the boundaries of the quadrants are drawn in green lines. In the left example, the LIS and LDS have a black square in common (that cell has all four directions labeled). In the right example, the LIS and do not have common squares.\n\n\n![](data:image/jpeg;base64,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)\n \n\nWe observe that: \n\nClaim — In this algorithm, the total number of letters written is exactly \n\n\\[C:= \\left\\{ \\begin{array}{ll}n + a + b + 1 & \\mathrm{if~the~LIS~and~LDS~intersect}\\\\ n + a + b & \\mathrm{otherwise.} \\end{array} \\right.\\] \n\nProof. This is obvious. Each black square contributes at least one letter. Each black square on exactly one of the LIS and LDS contributes one extra letter. And a black square on both contributes 4 letters instead of \\(1 + 1 + 1\\) . \\(\\square\\) \n\nNote by AM- GM we have \\(a + b \\geq 2\\sqrt{ab} \\geq 2\\sqrt{n}\\) , so we have a bound of \n\n\\[C\\geq n + 2\\sqrt{n} +\\epsilon \\quad \\mathrm{where}\\quad \\epsilon := \\left\\{ \\begin{array}{ll}1 & \\mathrm{if~the~LIS~and~LDS~intersect}\\\\ 0 & \\mathrm{otherwise.} \\end{array} \\right.\\] \n\nTo relate \\(C\\) to the number of tiles, the critical claim is the following, which is by construction: \n\nClaim — None of Matilda's tiles can have more than one letter written in any cell. \n\nProof. This follows from the construction. \n\nWe split into two cases based on \\(\\epsilon\\) . \n\n- When \\(\\epsilon = 1\\) , at most four letters go off the grid (one for each direction), the number of tiles is at least \\(C - 4 \\geq n + 2\\sqrt{n} - 3\\) . \n\n- Suppose \\(\\epsilon = 0\\) . Then \\(C - 4 \\geq n + 2\\sqrt{n} - 4\\) . However, we make the additional observation here that the tile where the LIS and LDS meet has no letters on it either; hence there are at least \\(1 + (C - 4) \\geq n + 2\\sqrt{n} - 3\\) tiles. \n\nRemark. USJL mentions that when \\(n = ab\\) , it is in fact always possible to guarantee \\(\\epsilon = 1\\) . Moreover, when \\(a \\neq b\\) , the AM- GM inequality is strict. This gives a way to avoid the additional observation needed for \\(\\epsilon = 0\\) above.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2025/6, proposed by Zhao Yu Ma and David Lin Kewei (SGP) \n"}} +{"year": "2025", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Consider a \\(2025 \\times 2025\\) grid of unit squares. Matilda wishes to place on the grid some rectangular tiles, possibly of different sizes, such that each side of every tile lies on a grid line and every unit square is covered by at most one tile. \n\nDetermine the minimum number of tiles Matilda needs to place so that each row and each column of the grid has exactly one unit square that is not covered by any tile.", "solution": "The answer is \\(2112 = 2025 + 2 \\cdot 45 - 3\\) . In general, the answer turns out to be \\([n + 2 \\sqrt{n} - 3]\\) , but when \\(n\\) is not a perfect square the solution is more complicated. \n\nRemark. The 2017 Romanian Masters in Math asked the same problem where the tiles are replaced by sticks, i.e. \\(1 \\times k\\) tiles. The answer to that problem is completely different and as far as I know there is no connection at all to the present IMO problem. \n\nConstruction. We show a general construction when \\(n = k^{2}\\) illustrated below for \\(k = 5\\) ; it generalizes readily. There are a total of \\((k - 1)^{2}\\) tiles which are \\(k \\times k\\) squares and another \\(4(k - 1)\\) tiles on the boundary, giving a total of \n\n\\[(k - 1)^{2} + 4(k - 1) = k^{2} + 2k - 3\\] \n\ntiles as promised. \n\n![md5:87dc466394ef415d70b0e81ac114205b](87dc466394ef415d70b0e81ac114205b.jpeg)\n\n\n\n\nRemark. Ironically, the construction obtaining the answer in the floor pattern at Sunshine Coast airport, the closest airport to the site of the exam. See this image or this image. \n\nBound. There are several approaches (all hard), but the shortest proof seems to be the following one that exploits the Erdős- Szekeres theorem; it is Solution 6 in the shortlist. The theorem being quoted is: \n\n## Theorem (Erdős- Szekeres) \n\nLet \\(n \\geq 1\\) be an integer. Given a permutation of \\((1, \\ldots , n)\\) , if a longest increasing subsequence (LIS) has length \\(a\\) and a longest decreasing subsequence (LDS) has length \\(b\\) , then \\(ab \\geq n\\) . \n\nThis is a stronger version of the theorem compared to another version which instead just asserts that \\(\\max (a, b) \\geq \\sqrt{n}\\) . \n\nTo apply this to the present problem, take the \\(n\\) uncovered squares which we henceforth call \"black\" as a permutation. Then consider both an LIS of length \\(a\\) and an LDS of length \\(b\\) . We do the following artistic illustration: \n\n- Draw the LIS as a broken line, then connect it to the southwest and northwest corner of the board.- Similarly, draw the LDS as a broken line, then connect it to the northwest and southeast corner of the board.- These two steps partition the board into four quadrants, which we call north, east, south, west.- For each black cell in the north quadrant, write an \\(\\mathbf{N}\\) in the cell above it (for the cell in the first row, this will be off the board). Do the same for \\(\\mathbf{E}\\) (east), \\(\\mathbf{S}\\) (south), \\(\\mathbf{W}\\) (west).- Some black cells are in multiple quadrants (i.e. part of the LIS/LDS). Write all letters in that case. \n\nThe figure below shows two examples of the process, each for a board with \\(n = 9\\) , for two choices of LIS and LDS. The cells in the LIS and LDS have been marked with green circles, and the boundaries of the quadrants are drawn in green lines. In the left example, the LIS and LDS have a black square in common (that cell has all four directions labeled). In the right example, the LIS and do not have common squares.\n\n\n![md5:5e539f41c70e646ab2141b6484a0fea7](5e539f41c70e646ab2141b6484a0fea7.jpeg)\n \n\nWe observe that: \n\nClaim — In this algorithm, the total number of letters written is exactly \n\n\\[C:= \\left\\{ \\begin{array}{ll}n + a + b + 1 & \\mathrm{if~the~LIS~and~LDS~intersect}\\\\ n + a + b & \\mathrm{otherwise.} \\end{array} \\right.\\] \n\nProof. This is obvious. Each black square contributes at least one letter. Each black square on exactly one of the LIS and LDS contributes one extra letter. And a black square on both contributes 4 letters instead of \\(1 + 1 + 1\\) . \\(\\square\\) \n\nNote by AM- GM we have \\(a + b \\geq 2\\sqrt{ab} \\geq 2\\sqrt{n}\\) , so we have a bound of \n\n\\[C\\geq n + 2\\sqrt{n} +\\epsilon \\quad \\mathrm{where}\\quad \\epsilon := \\left\\{ \\begin{array}{ll}1 & \\mathrm{if~the~LIS~and~LDS~intersect}\\\\ 0 & \\mathrm{otherwise.} \\end{array} \\right.\\] \n\nTo relate \\(C\\) to the number of tiles, the critical claim is the following, which is by construction: \n\nClaim — None of Matilda's tiles can have more than one letter written in any cell. \n\nProof. This follows from the construction. \n\nWe split into two cases based on \\(\\epsilon\\) . \n\n- When \\(\\epsilon = 1\\) , at most four letters go off the grid (one for each direction), the number of tiles is at least \\(C - 4 \\geq n + 2\\sqrt{n} - 3\\) . \n\n- Suppose \\(\\epsilon = 0\\) . Then \\(C - 4 \\geq n + 2\\sqrt{n} - 4\\) . However, we make the additional observation here that the tile where the LIS and LDS meet has no letters on it either; hence there are at least \\(1 + (C - 4) \\geq n + 2\\sqrt{n} - 3\\) tiles. \n\nRemark. USJL mentions that when \\(n = ab\\) , it is in fact always possible to guarantee \\(\\epsilon = 1\\) . Moreover, when \\(a \\neq b\\) , the AM- GM inequality is strict. This gives a way to avoid the additional observation needed for \\(\\epsilon = 0\\) above.", "metadata": {"resource_path": "IMO/segmented/en-IMO-2025-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) IMO 2025/6, proposed by Zhao Yu Ma and David Lin Kewei (SGP) \n"}} diff --git a/NewZealand_MO/md/en-nzmo1_2019_solutions.md b/NewZealand_MO/md/en-nzmo1_2019_solutions.md index 30401bd59d045d03ce22ad90c211524aa68c94af..28dcd616dc7d5cf9886a053d9c1223ba762dd99b 100644 --- a/NewZealand_MO/md/en-nzmo1_2019_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2019_solutions.md @@ -34,7 +34,7 @@ Remark: In order to receive full marks, a student would have to demonstrate that Solution: First notice that the sidelengths of \(\triangle ABC\) are 3, 4 and 5. By Pythagoras this implies that triangle \(ABC\) is right- angled at \(B\) . Now we can put the diagram on coordinate axes such that \(B = (0,0)\) and \(A = (0,3)\) and \(C = (4,0)\) . Furthermore we get \(D = (0,2)\) and since \(E\) divides \(CA\) into the ratio \(2:3\) we get \(E = (2.4,1.2)\) , as shown in the diagram. -![](data:image/jpeg;base64,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) +![md5:938072234333898a25a67f943dd7a9a6](938072234333898a25a67f943dd7a9a6.jpeg) Now we can calculate the slope of the line \(D E\) to be \(\frac{- 0.8}{2.4} = - \frac{1}{3}\) . This means that the equation of line \(D E\) is given by \(y = - \frac{x}{3} +2\) . Therefore the \(x\) - intercept of this line is the solution to \(0 = - \frac{x}{3} +2\) . The solution is when \(x = 6\) , and thus \(F = (6,0)\) . Hence \(C F = 2\) . \(\square\) @@ -75,7 +75,7 @@ which is a perfect square. Therefore the only solution is \(n = 2\) . \(\square\ Solution: To simplify notation, we will let \(m\) be \(m(U)\) and let \(n\) be \(|U|\) . First note that there are 10 different diagonal-lengths in a regular 21- gon. Now consider the following set of 5 vertices. -![](data:image/jpeg;base64,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) +![md5:cdf1ef8261596f1ada833898c5a5bf7b](cdf1ef8261596f1ada833898c5a5bf7b.jpeg) Note that each of the 10 different diagonal- lengths appear (exactly once each). So for this set of 5 vertices we have \(\frac{m}{n} = \frac{10}{5} = 2\) . We will now show that this is the maximum possible value for \(\frac{m}{n}\) . If \(U\) is an arbitrary non- empty set of vertices, then there are two cases: @@ -99,7 +99,7 @@ Remark: The construction given is unique up to rotations and reflections. I.e. a Solution: Let \(M\) be the midpoint of \(AF\) and let \(O\) be the circumcentre of triangle \(CPD\) . Now construct \(Q\) to be the point such that \(CPDQ\) is a parallelogram, and let \(R\) be the centre of this parallelogram (i.e. \(R\) is the intersection of \(PQ\) with \(CD\) , and also \(R\) is the midpoint of \(PQ\) ). -![](data:image/jpeg;base64,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) +![md5:7f7e1f9db688bdbb4b80cb850a19bf58](7f7e1f9db688bdbb4b80cb850a19bf58.jpeg) Note that \(Q D = C P = F P\) and \(D P = P A\) and \(\angle Q D P = 180^{\circ} - \angle D P C = \angle F P A\) Therefore (by SAS) we have a pair of congruent triangles: @@ -112,7 +112,7 @@ Therefore \(\angle M A P = \angle R P D\) and \(A F = P Q\) . Thus \(A M = \frac Therefore \(\angle A P M = \angle R D P\) . Let \(x = \angle A P M\) so that \(\angle C D P = \angle R D P = x\) also. -![](data:image/jpeg;base64,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) +![md5:459d4f57d9a2fcdc07adf11012a15437](459d4f57d9a2fcdc07adf11012a15437.jpeg) Since the angle subtended at the circumcentre is double the angle subtended at the circumference, we get \(\angle C O P = 2x\) (recall that \(O\) is the circumcentre of \(\triangle P C D\) ). Finally we get \(\angle O P C = 90^{\circ} - x\) because \(\triangle C O P\) is isosceles. Putting this all together, we get diff --git a/NewZealand_MO/md/en-nzmo1_2020_solutions.md b/NewZealand_MO/md/en-nzmo1_2020_solutions.md index 69156acf0f70e2de493a62dc1efc62e55166c2fd..77f30335805493511ab94d5fda4e36bc11acfc53 100644 --- a/NewZealand_MO/md/en-nzmo1_2020_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2020_solutions.md @@ -17,7 +17,7 @@ numbers between 1 and 50 which are divisible by 2 exactly \(k\) times. Hence the Solution: -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFHAc0DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4H4i+INQ05NOOmzGG3t9VsxfyKcFlaQfus+4wW9io6Ma6jxJ4isPCug3Wsak7LbW65IQZZyTgKo7kn/ADigDWorwiw/aTtJdUSO98PyQWLNgyx3G90Hrt2jP0yK9ytrmG8tYbq3kWWCZFkjkU5DKRkEexBoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK8h8b/Hew8L69No+naYdRmtmKXEpm2Irjqo4JJHQ9MEd6APXqK4z4efEbTviDp08ttA9peWxAntXbdtB6MrYG4HB7DB7dMr8SLy+tNFsI9Lv7iz1G91CCyt3iIxmRxuJBBzhFb6UAdlRXE+NWuvDHhO91ey1y+S7t1BgSYrKs8hICxlSuTuPHGDzXX2Ms0+n201zD5M8kStJFn7jEAlfwPFAE9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVTUr37DaF0QSTuwjgizjzJD0H07k9gCe1W6yrvw7p19rFrqtwt013aNugK3kyohxgkIGCcgkHjkHBzQBwHxJ07WrP4V6mJmsZDA0d1JLHv3vIJlZm545547DgdBWp8XPDV54x+HbwaWDJcwyJdxRL1lABBUe+GJHuK67W9B0/wARae1hqkcstq/34kuJIg49G2MMj2NWbCxg02yitLbzfJiG1BLM8pA9Nzkn9aAPh6w8M63qesDSbTS7qS/3bWh8ohkOcfNn7o9SeBX1/oHgqLS/D2nWE9/qTTW9skchi1GZU3BQDtAYADPTjpWnZf8AI2av/wBe1r/OWtigDF/4Rm0/5/dX/wDBnP8A/F0f8Izaf8/ur/8Agzn/APi62qKAMX/hGbT/AJ/dX/8ABnP/APF0f8Izaf8AP7q//gzn/wDi62qKAMX/AIRm0/5/dX/8Gc//AMXR/wAIzaf8/ur/APgzn/8Ai62qKAMX/hGbT/n91f8A8Gc//wAXR/wjNp/z+6v/AODOf/4utqigDF/4Rm0/5/dX/wDBnP8A/F0f8Izaf8/ur/8Agzn/APi62qKAMX/hGbT/AJ/dX/8ABnP/APF0f8Izaf8AP7q//gzn/wDi62qKAMX/AIRm0/5/dX/8Gc//AMXR/wAIzaf8/ur/APgzn/8Ai62qKAMX/hGbT/n91f8A8Gc//wAXR/wjNp/z+6v/AODOf/4utqigDF/4Rm0/5/dX/wDBnP8A/F0f8Izaf8/ur/8Agzn/APi62qKAMX/hGbT/AJ/dX/8ABnP/APF0f8Izaf8AP7q//gzn/wDi62qKAMX/AIRm0/5/dX/8Gc//AMXR/wAIzaf8/ur/APgzn/8Ai62qKAMX/hGbT/n91f8A8Gc//wAXR/wjNp/z+6v/AODOf/4utqigDF/4Rm0/5/dX/wDBnP8A/F0f8Izaf8/ur/8Agzn/APi62qKAMX/hGbT/AJ/dX/8ABnP/APF0f8Izaf8AP7q//gzn/wDi62qKAMX/AIRm0/5/dX/8Gc//AMXR/wAIzaf8/ur/APgzn/8Ai62qKAMX/hGbT/n91f8A8Gc//wAXR/wjNp/z+6v/AODOf/4utqigDF/4Rm0/5/dX/wDBnP8A/F18kePvDF9pHifULhIri40y4upGtb7azpMCx/jI+YjofUjuOa+sZJH8TyNBA7JoqErNMpwbsjqiH/nn2LfxdBxk1L4jjSLQ4Y40VES8slVVGAALiLAAoA8k/Z88GarpUt/4h1G3ltYriAQW8cqlWkBYMXweccDHrk13fiGJdc+KXh3SGL+TptpPqcwRyp3HEUfIIIIJc/hXd1z6eC9FTU59SRb9b2dBHJMNTuQzKOQv+s6DPSgDnPG0Ueh6z4ZvNO8251W41OO3jtrmV7gNEQfMZQ5PllRyXXGO+RXodZdj4d0vT75r6G3Z71l2fabiZ55Qv90PISQPYHFalABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGPZf8AI2av/wBe1r/OWtisey/5GzV/+va1/nLWxQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVz8kj+J5Gggdk0VCVmmU4N2R1RD/zz7Fv4ug4yaJJH8TyNBA7JoqErNMpwbsjqiH/AJ59i38XQcZNb0caRRrHGioiAKqqMAAdABQARxpFGscaKiIAqqowAB0AFZPif/kDx/8AX9Z/+lMdbFY/if8A5A8f/X9Z/wDpTHQBsUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGPZf8jZq//Xta/wA5a2Kx7L/kbNX/AOva1/nLWxQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXPySP4nkaCB2TRUJWaZTg3ZHVEP8Azz7Fv4ug4yaJJH8TyNBA7JoqErNMpwbsjqiH/nn2LfxdBxk1vRxpFGscaKiIAqqowAB0AFABHGkUaxxoqIgCqqjAAHQAU6iigArH8T/8geP/AK/rP/0pjrYrH8T/APIHj/6/rP8A9KY6ANiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAx7L/kbNX/69rX+ctbFY9l/yNmr/APXta/zlrYoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACufkkfxPI0EDsmioSs0ynBuyOqIf+efYt/F0HGTRJI/ieRoIHZNFQlZplODdkdUQ/8APPsW/i6DjJrejjSKNY40VEQBVVRgADoAKACONIo1jjRURAFVVGAAOgAp1FFABRRRQBDdXdtY2z3N3cRW8CffllcIq845J4HNcr4j8V+HJdKjWPX9Kdvtlo2FvIycC4jJPXsAT+FdVdSyQWzyw2z3Mi9Io2UM3PYsQPzNcr4j1bUn0qMN4dvkH2y0OTPAeRcRkDiTv0/GgDZi8V+HZ5kii1/S5JXYKiJeRksTwABnk1r1kRarqTzIj+Hb6NWYAu08BCj1OJM/lWvQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY9l/yNmr/9e1r/ADlrYrHsv+Rs1f8A69rX+ctbFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXPySP4nkaCB2TRUJWaZTg3ZHVEP8Azz7Fv4ug4yaJJH8TyNBA7JoqErNMpwbsjqiH/nn2LfxdBxk1vRxpFGscaKiIAqqowAB0AFABHGkUaxxoqIgCqqjAAHQAU6iigAooooAKKKKACsfxP/yB4/8Ar+s//SmOtisfxP8A8geP/r+s/wD0pjoA2KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDHsv+Rs1f/r2tf5y1sVj2X/I2av8A9e1r/OWtigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACikYEqQpwccHGcVw3hXVvEHiH+255dVtorKy1GWzt5FtB+8WPAZyS2MZJH4UAd1RWDpja3F4jvLS/vba6slto5YmS38p1dmcEH5iCMJntW9QAUUUUAFc/JI/ieRoIHZNFQlZplODdkdUQ/88+xb+LoOMmiSR/E8jQQOyaKhKzTKcG7I6oh/559i38XQcZNb0caRRrHGioiAKqqMAAdABQARxpFGscaKiIAqqowAB0AFOoooAKKKKACiiigAooooAKx/E/8AyB4/+v6z/wDSmOtisfxP/wAgeP8A6/rP/wBKY6ANiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAx7L/kbNX/AOva1/nLWxWPZf8AI2av/wBe1r/OWtigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAM7X9UTRPDupaq+NtnbST4PcqpIH4kYrh/CXg/UYvh3odsNZvUM3k3V3alYtkiySCSVGOzfyGYfe9unFdZ4q8MReLdIl0u61G+tbOYbZktDGDIMg8lkYjp2xSy6BeyWxgTxPq8K7duYktQQOnB8nj8KANS2vI7qS4WIMRBL5TN2ZgATj1xnB9wR2qxVLSNLg0XSrfT7ZpHjhXHmStueRicszHuxJJJ9Sa4TWvjj4M0XV3055ru7eNtkktrEHjQ5wRksM49gaAPSK5+SR/E8jQQOyaKhKzTKcG7I6oh/wCefYt/F0HGTVa01KHxzbJJps7Hw+3+snXKNdnvGucFUHRjwTyBxk108caRRrHGioiAKqqMAAdABQARxpFGscaKiIAqqowAB0AFOoooAKKKKACis61vJZdc1C0bb5UEcLJgc5bfnP8A3yKTQL2bUtAsby42+bNEHfaMDNAGlRRRQAUUUUAFY/if/kDx/wDX9Z/+lMdbFebfEf4m+G/DjJpFzPNPfrcW80kNsgYxqkqSHcSQASqnAznkdAc0Aek0Vh+F/F2jeMdL+36NdedGp2yIw2vG3ow7fy96g8b3Gu2Hhm81Hw/LD9rtIWm8iaHeJQOSOCCDgHHqaAOjork4ddvNV8F6dcaNeQz6tqNustvI8PyA8FmdQflVc4PPXAGSQD0OnQ30FoE1C8ju7jOWkjh8penQLk/zoAt0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj2X/I2av/ANe1r/OWtisey/5GzV/+va1/nLWxQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBS1iC5utDv7eyk8u7ltpEhfONrlSFP54r4QmikhmeKVSsiMQwPrX25JI/ieRoIHZNFQlZplODdkdUQ/88+xb+LoOMmrF34S8OX9wk93oOmTyooVXktUY4AwByOgHQUAeX/ArRvEMHgWWZb5bK2ubppII5bXzCw2qC4O4cEjH4V6d9g1/wD6Dtv/AOAA/wDi62VVUQIihVUYAAwAKWgDF+wa/wD9B23/APAAf/F0fYNf/wCg7b/+AA/+LraooAxfsGv/APQdt/8AwAH/AMXR9g1//oO2/wD4AD/4utqigDj7Kx1w+JtVA1qAOIbfc32Ec/fxxv4pPCtjrjeFtNMetQIhgXCmyBx+O+umhsVh1O7vQ5LXCRoVxwuzd/8AFUmlWC6VpVtYpIZFgQIGIwTigCj9g1//AKDtv/4AD/4uj7Br/wD0Hbf/AMAB/wDF1tUUAYv2DX/+g7b/APgAP/i6PsGv/wDQdt//AAAH/wAXSyeJLWSVoNMim1S4U7WW0AKIe4aQkIpHcZ3expn9n6xqXOo34soD1tdPY7j7NMQG/wC+AhHqaAKOoXl/psiw3HiS3Ny4yltFpxkmceoRXLEe+MDvXyX44stTsvGeqrq0Usd3LcPMfNUKWDHcGwCRyD2Jr7S0/S7HS42SytY4d53Oyj5pD6sx5Y+5JNYnjXRdL1TS4JL/AE61upEvLVEeaFXZVa4jDAEjIBBII70AeP8A7Nun6iNR1nUcOummFYTnIV5dwIx2JC5+m4ete96hfLZxoix+fczEpDADgue+T2UdSew9TgGW2s7axtEtbKCK1gQYSOFAip9ABgVmaX4eOnavdalLq+o389xGsZF2YtsagkgIERdvXn178igDjvhtb/8ACL+I9f8AB1yI/OhK31k6ggPbSHlFBJIVHLDHqx969LrmtT8Gw6l4qtfEQ1bUrW9tYmhiW38kIEb7wIaMlgevJOD0xXS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY9l/wAjZq//AF7Wv85a2Kx7L/kbNX/69rX+ctbFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/JI/ieRoIHZNFQlZplODdkdUQ/88+xb+LoOMmiSR/E8jQQOyaKhKzTKcG7I6oh/wCefYt/F0HGTW9HGkUaxxoqIgCqqjAAHQAUAEcaRRrHGioiAKqqMAAdABTqKKACiiigAooooAKKKz9Q1vT9NkWG4nzcuMpbRKZJnHqEUFiPfGBQBoVBd3trYWzXN5cxW8C/eklcKo/E1ledr2p/6mCPSbc/8tLjE1wR7Ip2J7Es3utT2nh+xtrlbuYSXt6vS6u28x19dvZPogUe1AEH9s3uofLo+mu8Z/5e73MEX1VSN7f98hT/AHqP+Ee+2/Nrl7JqOetvjyrYe3lg/MPZy9blFADY4o4YliiRY40GFRRgAegFOoooAKx/E/8AyB4/+v6z/wDSmOtisfxP/wAgeP8A6/rP/wBKY6ANiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAx7L/kbNX/AOva1/nLWxWPZf8AI2av/wBe1r/OWtigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5+SR/E8jQQOyaKhKzTKcG7I6oh/559i38XQcZNEkj+J5Gggdk0VCVmmU4N2R1RD/zz7Fv4ug4ya3o40ijWONFREAVVUYAA6ACgAjjSKNY40VEQBVVRgADoAKdRRQAUUUUAFFQXd5a2Fs1zeXMVvAn3pJXCqPxNZX9tXuofLo2myPGf+Xu9zBF9VUje/8A3yFP96gDcrGl8SWskrQaZFNqlwp2stoAUQ9w0hIRSO4zu9jTP+EeN782uXsmo5624HlWw9vLB+Yezl62Yoo4YliiRY40GFRRgAegFAGN/Z+salzqN+tlAetrp7HcfZpiA3/fAQj1NaGn6VY6XGyWVrHDvOXZRlpD6sx5Y+5JNXKKACiiigAooooAKKKKACsfxP8A8geP/r+s/wD0pjrYrH8T/wDIHj/6/rP/ANKY6ANiiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAx7L/kbNX/69rX+ctbFY9l/yNmr/wDXta/zlrYoAKKKKACiiigAooooAKKKKACiiigAooooAK5+SR/E8jQQOyaKhKzTKcG7I6oh/wCefYt/F0HGTRJI/ieRoIHZNFQlZplODdkdUQ/88+xb+LoOMmt6ONIo1jjRURAFVVGAAOgAoAI40ijWONFREAVVUYAA6ACnUUUAFFY0viS1eVoNMim1S4U7WW0AKIe4aQkIpHpnd7GmfYNZ1LnUb9bKA9bXT2O4+zTEBv8AvgIR6mgC5qGt6fpkiw3E+bhxlLaJTJM49QigsR74wKp+dr2p/wCpgj0m3P8Ay0uMS3BHsinYnsSze61oafpVjpcbJZWscO85kYDLSH1Zjyx9ySauUAZVp4esba5W7mEl7er0urtvMdf93+FPogUe1atFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY/if8A5A8f/X9Z/wDpTHWxWP4n/wCQPH/1/Wf/AKUx0AbFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj2X/I2av8A9e1r/OWtisey/wCRs1f/AK9rX+ctbFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/JI/ieRoIHZNFQlZplODdkdUQ/8APPsW/i6DjJokkfxPI0EDsmioSs0ynBuyOqIf+efYt/F0HGTV681fTNH8q1klVZSuIbSBC8jKOPljUE4HsMCgDQjjSKNY40VEQBVVRgADoAKiu7y1sLZrm8uYreBPvSSuFUfiayvO17U/9RBHpNuf+WlxiWcj2RTsX2JZvdantPD1jbXK3cwkvb1el1dt5jqf9n+FPogUe1AEH9tXuofLo2myPGf+Xu9zBF9VUje//fIU/wB6j/hHje/Nrl7JqOetuB5VsPbywfmHs5etyigBkUUcMSxRIscaDCogwAPQCn0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4n/wCQPH/1/Wf/AKUx1sVj+J/+QPH/ANf1n/6Ux0AbFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj2X/I2av/ANe1r/OWtisey/5GzV/+va1/nLWxQAUUUUAFFFFABRRRQAUVBd3lrYWzXN5cRW8CfeklcKo/E1lf21e6h8ujabJJGf8Al7vcwRfVVI3v/wB8hT/eoA8y+L/xd1Hwrqw0DQBEl4sayXFzIgcx7uQqqeM4wSTnqK53wL8Wte8WanD4a11Terc7tptFSGWcgZ8t23KqoRnJAyQMc5o+Inwz1/xjrM3iLQ2j1NmCxTsAsCyuoxmEEnKAADJYknOMjpd+EXwg1vRfE8PiDxBCtotqG8i33qzu5XGTjIAAJ75zjtQB7BHpmrXsape3iafaqAq2emnBCjjBmIBx/uKhHqa0tP0qx0uNksrWOHecyMBlpD6sx5Y+5JNXKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArH8T/8AIHj/AOv6z/8ASmOtisfxP/yB4/8Ar+s//SmOgDYooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMey/wCRs1f/AK9rX+ctbFY9l/yNmr/9e1r/ADlrYoAKKKKACisaXxJavK0GmRTapcKdrLaAFEPo0hIRSPTO72NM+wazqXOo362MB622nsdxHo0xAb/vhUI9TQBc1DW9P0yRYbi4zcOMpbRKZJnHqqKCxHvjAqn52van/qII9Jtz/wAtLjEs5HsinYvsSze61oafpVhpUbJZWscO85kYDLSH1Zjyx9ySauUAZVp4esba5W7mEl7eryLq8bzHU/7P8KfRAoqpJI/ieRoIHZNFQlZplODdkdUQ/wDPPsW/i6DjJokkfxPI0EDsmioSs0ynBuyOqIf+efYt/F0HGTW9HGkUaxxoqIgCqqjAAHQAUAEcaRRrHGioiAKqqMAAdABTqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKx/E//IHj/wCv6z/9KY62Kx/E/wDyB4/+v6z/APSmOgDYooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKz9Q1vT9MkWK4uM3DjMdvEpkmceqooLEe+MCgCvZf8jZq/wD17Wv85a0bu8tbC2a5vLiK3gT70krhFH1JrlLSXW9T8UaobeJdJia3t9zXKiWbGZcbVVtqk88ktjutbtp4esbe5W7m8y+vV5F1eN5jqf8AZH3U+iBRQBB/bV7qHy6NpskiH/l7vcwRfVQRvf8ABQp/vUf8I6b75tcvZNRz1twPKth7eWCdw9nL1uUUAMiijgiWKGNY40GFRBgKPQAU+iigArn5JH8TyNBA7JoqErNMpwbsjqiH/nn2LfxdBxk0SSP4nkaCB2TRUJWaZTg3ZHVEP/PPsW/i6DjJrejjSKNY40VEQBVVRgADoAKACONIo1jjRURAFVVGAAOgAp1FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4n/AOQPH/1/Wf8A6Ux1sVj+J/8AkDx/9f1n/wClMdAGxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFQXd5a2Fs1zeXEVvAn3pJXCKPqTWV/bd7qHy6NpskiH/AJe7zMEP1UEb3/BQp/vUAblY0viS0eV7fTIptUuFO1ltACiH0aQkIpHpnd7Gmf8ACOm++bXL6TUM9bYDyrYe3lgncPZy9bMUUcESRQxrHGgwqIMBR6ACgDG+wazqXOo362MB622nsdxHo0zAH/vhUI9TWhp+lWGlRsllaxw7zmRgMvIfVmPLH3JJq5RQBj2X/I2av/17Wv8AOWtisey/5GzV/wDr2tf5y1sUAFFFFABXPySP4nkaCB2TRUJWaZTg3ZHVEP8Azz7Fv4ug4yaJJH8TyNBA7JoqErNMpwbsjqiH/nn2LfxdBxk1vRxpFGscaKiIAqqowAB0AFABHGkUaxxoqIgCqqjAAHQAU6iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKx/E//IHj/wCv6z/9KY62Kx/E/wDyB4/+v6z/APSmOgDYooooAKKKKACiiigAooooAKKKKACiiigAorGl8S2jyvb6ZFNqlwp2sloAyIfRpCQikehO72NM+wazqXOo362MB/5dtPY7iPRpmAP/AHwqEepoAuahren6ZIkVzcf6Q4zHbxKZJnHqqKCxHvjAqn52van/AKiCPSbc/wDLS5xLOR7Ip2L7Es3utaGn6VYaVGyWVrHDvOZHAy8h9WY8sfckmrlAGTaeHrG3uVu5/Nvr1eRdXjeY6n/ZH3U+iBRWtRRQAUUUUAFFFFAGPZf8jZq//Xta/wA5a2Kx7L/kbNX/AOva1/nLWxQAVz8kj+J5Gggdk0VCVmmU4N2R1RD/AM8+xb+LoOMmiSR/E8jQQOyaKhKzTKcG7I6oh/559i38XQcZNb0caRRrHGioiAKqqMAAdABQARxpFGscaKiIAqqowAB0AFOoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArH8T/8geP/AK/rP/0pjrYrH8T/APIHj/6/rP8A9KY6ANiiiigAooooARiQpIGSBwPWua0TxcdY8S6poT6XPaXOmhDOZZEIIcZUrgnII79q6avOfFfneHvif4d12xgM7apFJpVzbowBkIHmRtz6EHJ7AUAdfrGsz6bd2VraaXPqE10W+SGRF8pVAy7biPl5xn1IHetTzAkPmS4jAXc248L65NVdPsWthJPcOJb2fBmlA446KvooycD3JPJJPjX7SGr6haaVo2mW8rxWd28rzhTjzCm3ap9huJx9PSgD2Ww1jS9VLjTtSs7wx/f+zzrJt+u0nFTXd5a2Fs9zeXEVvAn3pJXCKPqTXw34c1fU9D160vtImlivEkATy+rZONuO4PTBr68tLSe3uUu5/DWoX16vIury7gkdT/sjftT6IFFAGn/bd5qHy6LpskiH/l7vMwQ/VQRvf8FCn+9R/wAI61982uX0moZ62yjyrYe3lgncPZy1O/tfVf8AoW7v/wACYP8A4uj+19V/6Fu7/wDAmD/4ugDXiijgiSKGNI40GFRFACj0AHSn1i/2vqv/AELd3/4Ewf8AxdH9r6r/ANC3d/8AgTB/8XQBo6jeppumXd9IrNHbQvMyr1IVSSB+VMudQjtbmwhZGLXsxiQjopEbyZP4IR+Nc74m1XVH8Kawr+HrpFNjMC5uISFGw88PmotV1TU21Pw6T4fulK3jlQbiH5j9mmGB8/pk8+lAHZ0Vi/2vqv8A0Ld3/wCBMH/xdH9r6r/0Ld3/AOBMH/xdAG1RWL/a+q/9C3d/+BMH/wAXR/a+q/8AQt3f/gTB/wDF0AbVFYv9r6r/ANC3d/8AgTB/8XXBfGLxPr+n/D65+zaVd2H2iVIJbnzo22Ic5xsYkZwBn3oA7LTNW0248a6vbQahaSz/AGe3HlJMrNlTLuGAc8ZGfTNSySP4nkaCB2TRUJWaZTg3ZHVEP/PPsW/i6DjJr4jjlkilEkbsrg5DKcEGvszwtr+s3fhLSLiTw7cO8lnExeOWBFbKDkLuGAeuMcUAddHGkUaxxoqIgCqqjAAHQAU6sX+19V/6Fu7/APAmD/4uj+19V/6Fu7/8CYP/AIugDaorF/tfVf8AoW7v/wACYP8A4uj+19V/6Fu7/wDAmD/4ugDaorF/tfVf+hbu/wDwJg/+Lo/tfVf+hbu//AmD/wCLoA2qKxf7X1X/AKFu7/8AAmD/AOLo/tfVf+hbu/8AwJg/+LoA2qKxf7X1X/oW7v8A8CYP/i6P7X1X/oW7v/wJg/8Ai6ANqisX+19V/wChbu//AAJg/wDi6P7X1X/oW7v/AMCYP/i6ANqisX+19V/6Fu7/APAmD/4uj+19V/6Fu7/8CYP/AIugDaorF/tfVf8AoW7v/wACYP8A4uj+19V/6Fu7/wDAmD/4ugDaorF/tfVf+hbu/wDwJg/+Lo/tfVf+hbu//AmD/wCLoA2qKxf7X1X/AKFu7/8AAmD/AOLo/tfVf+hbu/8AwJg/+LoA2qKxf7X1X/oW7v8A8CYP/i6P7X1X/oW7v/wJg/8Ai6ANqisX+19V/wChbu//AAJg/wDi6P7X1X/oW7v/AMCYP/i6ANqisX+19V/6Fu7/APAmD/4uj+19V/6Fu7/8CYP/AIugDaorF/tfVf8AoW7v/wACYP8A4uj+19V/6Fu7/wDAmD/4ugDaorF/tfVf+hbu/wDwJg/+Lo/tfVf+hbu//AmD/wCLoA2qKxf7X1X/AKFu7/8AAmD/AOLo/tfVf+hbu/8AwJg/+LoA2q53xlqNjYaPCby8t7YNe2pXzpVTOLiMnGT2AJPtVj+19V/6Fu7/APAmD/4uvkH4ha1qWt+OtWn1MyrLHcvCkDtnyEViAgxxx7dTk96APtWKaK4hSaGRJInG5XRgQw9QR1rM1bxBa6VcW9n5ct1qFzkwWVuAZHA6tyQFUd2Yge+eK8R/Zv1nUpL3VtGdpJNOjhE6biSIpNwGB6bgSf8AgNeifDLdrX9teL7sbrrUr2SGAt/yytom2pGPTkMT6nmgDd1LxLc+H9Mm1TXdNWDT4U3PJazmd4/TcuxepwPlLcnnAyRu2kz3FnBPJEYXkjV2jJyUJGSPw6VBqtlaapp0unXpHkXQ8srkAv3wM+wNXaACuO1LQ9e1Hx9o2stBpv8AZ2lrOsUZu38xmkAUyEeVjIUfdz1J5rsaKACsTxV4T0nxjo7aZq8BkhzuR0O142/vKex/StuigDzbwv8ABHwt4Y1mLVUa7vbmFt0AumUpG3ZsADLDsT9cZr0miigAooooAKKKKAM/XrWa/wDDup2duoaae0lijBOMsyEDn6mo9Qsp7i/0SWNQUtbppJTnGFMEqfj8zrWpRQAUUUUAFFFFABWdrtjpmpaHd2esRJLp8qbZkcHGPw5BBwQRyDWjWR4p1caD4U1XVSQDaWskqZ7sFO0ficCgDyPSfhd8LlvU1KPW7i+s0fIjeUGIkdQzKoyAfce9e2WVxaXVnDPYzQzWrqPKeBgyFe20jjH0rD8A6QdD8BaJp7giVLVXlB6+Y/zv/wCPMax/Bkvl/EDx3p9sNunw3NrKiL91ZpIsy4+pAJ9yfWgDu6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvPPGHwb8M+MNVbVJzc2d5JjzXtmAEvuQQefcY9816HRQBzvg/wTovgfTHstHhcea26aaVt0kpHTccDp2AAHX1NVdH0bUvCct7a6fbxXuk3Fw9zDH5vly27OcsnIwybskHIIzjB611lFAGdBaXNxdx3uoCNXiB8m3jYssZPBYsQMtjjoMAkc5zWjRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXl/xd8TaQlpY+Frm72PfX9sLxfLc7LYOHZsgYP3QMDnmiigDoh4/wBL1Jms/DhOp6myny4CrQov+07OBhR3xk+gNaHhLw2PDelyxyz/AGnULud7u+utuPOmc5YgdlHAA7AUUUAb1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==) +![md5:e9c36b7d060c32514dda36efed47190e](e9c36b7d060c32514dda36efed47190e.jpeg) Construct point \(E\) on diagonal \(BD\) so that \(EX\) is parallel to \(CD\) . So \(\angle BXE = \angle BCD = 90^\circ\) . Also \(\angle XBE = 45^\circ\) because \(E\) is on diagonal \(BD\) . Therefore triangle \(\triangle BEX\) is an isosceles right- angled triangle. Hence @@ -48,7 +48,7 @@ Solution: All the angles in squares and equilateral triangles are multiples of \ Hence \(n \leq 12\) . Also all polygons have at least 3 sides so \(3 \leq n \leq 12\) . Finally we demonstrate that it is possible for any \(3 \leq n \leq 12\) using the following illustrations. -![](data:image/jpeg;base64,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) +![md5:c7ee6000d060a21c441f3bd38deb267d](c7ee6000d060a21c441f3bd38deb267d.jpeg) @@ -137,7 +137,7 @@ Hence \(f(z) = 2z + 4\) is the unique function \(f\) satisfying the given equati Solution: Let \(Z\) be the point where \(PY\) intersects \(AX\) . The problem asks us to prove that \(AZ = ZX\) . -![](data:image/jpeg;base64,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) +![md5:4fb802b333e8b7afe9964271543b363d](4fb802b333e8b7afe9964271543b363d.jpeg) @@ -222,7 +222,7 @@ To simplify notation, we define a \(k\) - strip to be a \(1 \times 8\) rectangle Start by finding 44 disjoint \(1 \times 9\) rectangles on the board. -![](data:image/jpeg;base64,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) +![md5:bffeb9bee513f65a819c23fc8a7311ad](bffeb9bee513f65a819c23fc8a7311ad.jpeg) - Josie places a white stone in one end of each of these 44 rectangles on her first 22 turns. diff --git a/NewZealand_MO/md/en-nzmo1_2021_solutions.md b/NewZealand_MO/md/en-nzmo1_2021_solutions.md index 0221e21500190db3efd5386ea10a47905dec41fa..480f10fdc33094e1963673d6964f67b1395a8bce 100644 --- a/NewZealand_MO/md/en-nzmo1_2021_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2021_solutions.md @@ -37,7 +37,7 @@ First note that if \(x\geq 0.8n\) then \(\frac{x}{x + c}\geq \frac{x}{n}\geq 0.8 Solution: First note that triangle \(ABE\) is isosceles because \(AB = BE\). -![](data:image/jpeg;base64,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) +![md5:935e4dd436ea123c3cec41c6e1dd10f9](935e4dd436ea123c3cec41c6e1dd10f9.jpeg) Let \(x = \angle DEC\) . Angle chasing gives: @@ -106,7 +106,7 @@ Therefore the only solutions for \((x,p,n)\) are \((2,5,2)\) and \((0,3,1)\) . Solution: Let \(E^{\prime}\) be the point on line \(BC\) such that \(DE^{\prime}\) is parallel to \(AB\) . We know that \(E^{\prime}\) lies between \(B\) and \(C\) because \(D\) lies between \(A\) and \(C\) . So it suffices for us to prove that \(BE^{\prime} = CD\) . -![](data:image/jpeg;base64,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) +![md5:6fcf46822614183179ec509fff5df855](6fcf46822614183179ec509fff5df855.jpeg) \[\angle A C B = \angle C B A\] \[= \angle C E^{\prime}D.\] diff --git a/NewZealand_MO/md/en-nzmo1_2022_solutions.md b/NewZealand_MO/md/en-nzmo1_2022_solutions.md index f2ea1d6b6c4803b319ae012ac55da379c9d02920..7b3b5b7ebf7b0248c952ea162143680bae93b5fa 100644 --- a/NewZealand_MO/md/en-nzmo1_2022_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2022_solutions.md @@ -9,7 +9,7 @@ Solution: (Kevin Shen) \(M\) is the midpoint of \(AD\) , by symmetry \(MB = MC\) . The side lengths of an equilateral triangle are all equal, so \(MB = MP\) . -![](data:image/jpeg;base64,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) +![md5:2298d94c09644ba63aba0450bcb0c3ec](2298d94c09644ba63aba0450bcb0c3ec.jpeg) As \(MB = MC = MP\) , \(M\) is the circumcenter of triangle \(BCP\) . For any chord of any circle, the angle subtended at the center is always double the angle subtended at the circumference. Since \(\angle PCB\) and \(\angle PMB\) are both subtended by arc \(BP\) , we get @@ -268,7 +268,7 @@ Solution A: (Ross Atkins) Let \(F\) be the point on the circle such that \(AF\) is a diameter. So \(M\) is the midpoint of \(AF\) . Now let \(E \neq F\) be the point on the circle such that \(D, E, F\) are colinear. This means \(\angle AEF = 90^\circ\) by Thales' theorem. -![](data:image/jpeg;base64,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) +![md5:ee425924127a8ada879bc0c84441f1ec](ee425924127a8ada879bc0c84441f1ec.jpeg) By the Power of a Point Theorem we get \(DP^2 = DE \times DF = DQ^2\) . Therefore we have two pairs of similar triangles: \(EPD \sim PFD\) and \(EQD \sim QFD\) . Hence diff --git a/NewZealand_MO/md/en-nzmo1_2023_solutions.md b/NewZealand_MO/md/en-nzmo1_2023_solutions.md index 3aea6734d1b4ccbfaf33fbab0a7f024de6b62c68..2206ae07eae812ed94f76b853167563222c0bace 100644 --- a/NewZealand_MO/md/en-nzmo1_2023_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2023_solutions.md @@ -37,7 +37,7 @@ where \(|X Y Z|\) denotes the area of triangle \(X Y Z\) . Solution: (Kevin Shen) -![](data:image/jpeg;base64,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) +![md5:cdae9d3b66e0b8123c8caf5b33b228b3](cdae9d3b66e0b8123c8caf5b33b228b3.jpeg) Since \(PQ\) is parallel to \(BC\) , there is a dilation (centred at \(A\) ) of factor \(AB / AP\) that sends triangle \(APQ\) to triangle \(ABC\) . Thus @@ -156,7 +156,7 @@ Solution: (Kevin Shen) Wlog let \(AB = 1\) and \(BC = a\) . Also let \(BD = x\) . We will try to find all the lengths in the diagram in terms of \(a\) . -![](data:image/jpeg;base64,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) +![md5:86fb48b6187867498a80e4879e3dfa06](86fb48b6187867498a80e4879e3dfa06.jpeg) By Pythagoras in \(\triangle ABC\) we get \(AC = \sqrt{a^2 - 1}\) . By the angle- bisector theorem we get \(\frac{AD}{DC} = \frac{AB}{BC} = \frac{1}{a}\) , and so \(DC = a \times AD\) . This can be substituted into \(AD + DC = AC = \sqrt{a^2 - 1}\) to get \(AD(1 + a) = \sqrt{a^2 - 1}\) . Therefore @@ -213,7 +213,7 @@ Let \(E\) be the foot of the perpendicular from \(D\) to \(BC\) . Note that \(E\ Therefore \(AB = EB = EN\) and hence \(2AB = BE + EN = BN\) . We also get \(BD = DN\) . Let \(F\) be the point on line \(BC\) such \(BD = BF\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADRAloDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+s6bXLCC/Ni8kv2rZv8AKW3kYlem4YU5GTjIrRrk9PkuLvxnruoQwLMlskVhETJtwQPMcdD3cflQB0VpqNpfNKlvMGkhIEkZBV0zyNynBGfcVarl/DQS+1zWNVmfbfh1tJbYDiBU5Az/ABZ3Z3e+MDFaniXUZ9J8MapqNqgee2tZJYwwyMqpIJHoOpoA1KK+ZtN+IuvaLq0Wq3us3lzbiVTcxTSF0dCRuCp0U46bQMfTivd9B8d+FvExVdI1y0uJWJCwl/LlOPSNsN+OKAOiooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGSiQxMIXRJMfKzqWA+oBGfzrC0rQ9U0m0nij1S0eSe4kuJJWsmyXdsnjze3QfSugooAztG0aDRreVI5JJpriVp7ieTG6WQ9SccD0AHQCtAgMCCAQeCDS0UAeA6h4Dg1bxv43tNFJsL3SXsLnSvKYqkUjRF2UDoAxH4HHbg6fh7QfB3xK0SR9S0CCx1yzY29/HbAwSRTd2wuM5IJG4HBBHOK6Lw9/yV74g/9w3/ANEGsnxzpV54W12P4gaDA0jxL5er2i9LiDjL/VcDn2B7HMPch7jl8CeMfDg/4pHxxcmBQqpZauvnRhR2DYO3/gKj61OvxH8aeHzjxZ4IlmtwWLXujP5qhR32EnH1Zl+ldtpWqWet6VbalYTCa1uUDxuPT0PoQcgjsQamu7qGxtJrq5kEcMKF3c9gBk07hexi6B8V/BniEKltrUNtcEDMF7+4cH0y3ysfZSa7QEEZHIrzTw/4J0jxhp19rnibR4biXVpvNhEoxJFAoxGAwwRkc8HnimH4S3WiMZfBfi7VdGwxcWkzfaLfPYbDj8zuoi+ZXHCXNG56dRXmH/CQfFHwyuNY8NWXiK1RRm50mUpKfcoRlj7KoHvWhpfxj8I310bO+uLjRb0Nta31SEwlT7tyo/EiqKO/oqG1ure9tkuLS4iuIHGUlicOrD2I4NTUAFFU49UsZdVm0uO6ja+giWWWAH5kRiQCfrirlABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAebeHv8Akr3xB/7hv/og12jKroyOoZWGCCMgiuL8Pf8AJXviD/3Df/RBrtGZUUsxAUDJJPAqWQ9zyqzZvhT4x/s+YlfCGsylraVz8tjcHqhPZT79sHPytXRgSfEPUhbQb08MWsgNxNyPtrqeEX/YB6n/AOtVfxfqmkeKNNuvDNlZvrl1OuNlqflgbs5k6Lg/4HrVr4a6vf6Zu8C+Iwkes6ZEGt3X7t1bfwsp7lfun6dzms9Ju19DKyqOyeh6IqqiKiKFVRgADAApaKK2OgKoapomla5biDVdOtL2IZwtxCr7c9xkcH3FX6KAPNbr4MaPbTvdeF9V1Xw5dsMZsrlmjP8AvKTkj23AVHn4teGW5/srxZZK3ta3O0fko/8AHjXp1ZviC1vr7w5qVppkscV9PbSRQSSEhVdlIBJAJ4z6UAeDaF8V7CxTxd4h1C2u7TWdZBbT90ReErGhSNFkHUhs5OAOPXivXfhmdPi8A6RZ2OpW988FupnaGcS7ZG+dgSCcfMx61z2s+DLpdC8EeDLe1M+mQXKSanMq/uysS7mDezuTWhqnwb8I310Lywt7nRb4NuW40ucwlT7Lyo/ACgDv6K8w/sD4peGVzo/iSy8RWqKcW2qxFJTz0Dg5Y+7MB7Uo+LdxojiLxp4R1XRcMEN1Ev2i3J7neMfkN1AHp1FYWheM/DfiVV/sfWbS6dgSIlk2y49Shww/EVu0AFFFFABRRRQAVkPr8S6zJpSWd3JdpEJiEVMbCcBslgOoPHX2rXrh9POqXeq+KdY0wW7SGb7HAJgT/qVxxjsWZvyoA6m01Rbq+ls2tbmCaOMSETIACpJHBBIPSr9V4BD5zhWLzRKsUjHOemQD785/EVYoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyaz0XUNX+Lvjv7Drc2mLGNP8zyoVcyZgOOT0xg/nXTL8N9PuGDazqeq6tjny7m5Ij/BVx/OqnhT/AJK78Q/ppv8A6Iau+qHTi3dmbpQk7tFWw02x0q2FtYWkNtCP4IkCj68dT71zfjzwrPr1lb6jpEgt/EOlv5+n3HTJ7xt6qw4P+Gc9dRV2saJW0Rz3g3xVB4u0Fb1Izb3cTGC9tH4a3mXhkI/l7V0Neb+LrO48E+Iv+E70mF5LKULFrtnGP9ZEOk6j+8vf29OTXoNneW+oWUF5aTJNbToJIpEOQykZBFAE9FFFABRRRQAUUUUAFBAIIIyD2oooA4zXfhV4M1/c9xokFvcEcT2X7hwfX5cAn/eBrE/4QPxv4dOfCnjia4twRtstbTzl2jt5gBIHsqivTqKAPMP+FieL/Dwx4v8AA10YVBL32jsJ4wB3KZO0f7zD6V0OhfE/wb4i2pZa5bJOcDyLk+S+T2AfG4/7ua66uf13wN4X8Tbjq+iWlxI2MzbNkp/4GuG/WgDoKK8Z1XwJqXhDUtNs/A/ivVLGS8eTbZ3Ugnt0AGSdpGAOnUE1oL4u+Jnhobdc8K22u2y7V+1aRIRIT3JjwSfwVRWjpSUVJrR7fkK56lNG0sLIkzwsekkYUsPpuBH6Vj6b4bOk6eLOz1jUEj3M+4iFmLMxYkkx88k15pf/AByuJrpTpGi+Xaodsi6jlJWYHDDCkhMHI5z9K9T8O65B4k8P2erWyMkdwpJRuqMCVZffDAjPtWYyzp1gmm2Yt0lmmO5neWZgXkYnJLEAD9OgAq3RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHA+FP8AkrvxD+mm/wDohq76uB8Kf8ld+If003/0Q1d9QAUUUUANkjSWNo5EV43BVlYZBB6givNdFkf4a+LF8NXTt/wjOrSltImc5FrMTlrcn0J5X+uTj0ysjxP4csfFegXOkagp8qYfLIv3onH3XX0IP+HegDXoriPAXiO+lkuvCviJgPEOlAB3PS7g6JMvrnjPv9cDt6ACiiigAooooAKKKKACiiigAooooA46Bv7T8e6jd9YdOhW0j9N7fMx+o6V0Nc+fDGtaXc3U+iarC6XEzTvbXsXBZup3rzUcniLUtLUnW9BuYY1GWuLUiaMD1OOVH1r1KlNVbeykmkkrXs/uduva5Cdtzz7U/BkXij4u6rpWm3Rs7eG1S7vpDF5m2dz91RkY3Kd3Oec11D/BixsCZ/DPiLWtDvSFDyRT70lI6s6cZJPOMge1S/B6F77StZ8VzoVm17UJJkyekCErGv4fP+GK9IrzZWvoWeY/aPi14ZP7620rxXZqSS0LC2udo9uF/ABjU1n8aNAjuFs/Edjqfh29KgmPULZtpP8AssBkj3IAr0ioLyxtNRtmtr61gurd/vRTxh1P1B4qQItN1bTtYt/tGmX9rew5wZLeVZFB9Mg1crz3Uvg14Vubr7bpQvNCvwSy3Gl3BiIP+6cgD2XFUv7H+Kvhhf8AiWa7p/ia1RcCDUYvKm69mB5Puz/hQB6fRXmS/F/+yJRB4y8LatoLF9n2jy/Ptz6neoGf+Ahq7TQ/Fvh/xIgbR9YtLwld3lxyDzFHuh+YfiKANmiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKxta8WaB4dlii1jV7SyklUsiTSAFgOM49KAOa8Kf8AJXfiH9NN/wDRDV31eP8Ahvx54VtfiZ43v59dso7S8Fh9nmaT5ZdkLBsfQnBr1LSdZ03XrEXulXsF5bFinmQvuGR1H1oAvUUUUAFFFFAHGePfDF5qMdrr+gkReI9JJktW7Tp/FC3qGGce/pk1seE/E9n4t8PwapaAxlspPA/34JR95GHqD+Ywe9bdeM+OPEFt8MPHLazpDxXLapEx1PRlcgllBKXHAITng568nnkgA9morzbTdam8M23/AAk/jfxKstxqqItppliS8EakggRIuTI3Iy/v1PBr0kHIB9aACiiigAooooAKKKKACiiigArjPinqsumeAL+K1yb3UCun2yjqzynbge+0sfwrs6898Sf8T/4teGtDHzW+lRSavcjtu+5D+IbJ+hoA7PQ9Ki0PQbDSoMeXZ26QqfXaAM/j1q/RRQAUUUUAFFFFACMquhR1DKwwQRkEVxWufCXwXrpMj6PHZXP8M9gfIZT64X5Sfcg121FAHmP/AAhPj7w427wx42N/bBsiy1xPM+UdB5oy34ALSf8ACyvE/h5ceMvA19DEi5e+0oi4i69SM/IPq2favT6KAPJL/wCIejeNPFvhHTNB1opbfbGvL1iWgP7tcpEd2N25jjAyDjvXW+G/EN/rvjXxPbho/wCx9LkitIcLy04BMvPscDH0ridR8K6LrGt+O/E/irRc6fZARWqOGhL+VGWeQFcFtzEYPfpzVPwP8NvFGneDdO1Tw94vudLvbyD7TLYzxCW2Zn5X5T907NoJwxyPyAPcKK8x/wCEs+I/hs7fEPg+LWLZSF+2aHIWYjufKOWJ/BRWpovxf8GaxJ5D6n/Zt1khrfUk8hlI7Fj8mfbdmgDuqKZFLHPEksUiyRuNyuhyGHqDT6ACiiigAooooAKKK5jxdpcmrxiGzPl38EL3MEycMJFI2KT/AHSS3HtQB09Fc1FcWXizStFuXhVxO3munePaDvH03hVI710iqqIqIoVVGAAMACgBaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5Hxjd3ltc2q23gf/hIlKEmUyQqIjn7vz5PPWuuooA8C0K/1BPH/AItkT4ZrdSOLPfY+bAPseImxyRg7/vcenNex+Fp57jRVe48P/wBhPvYfY9yNgf3vk45/Oub8Kf8AJXfiH9NN/wDRDV31ABRRRQAUUUUAFeZalpEHg9ZdJ8M+HJ9a13XBJ597f5kj2HhjPKf4efuDGfr19NqtqENzc6dcwWd19kuZImWK48sP5TEYDbTwcHnFAHgOjxQfCXxadP1mw/4SHWZrWL+xpLdyzIxO0whWJ8sbicNjpn1xXtHhNPEv9ny3Hiia1+2XEnmJa2yfJapjhN38R9T+Vc4fhFob+HbyzmlnudYuiJX1mc7rgTjlXB/hAP8ACD04z3rQ8BeJ7vVIbrQtdVYvEekkRXadBMv8My+qsMH6+mRQB2VFFFABRRRQAUUUUAFFFFABXnvw4/4nWueK/FrfMl/ffZLRvWCAbQR7E5/EVu/EDXT4c8CavqUbETpAY4MdfNf5Ex+LA/hVjwZoQ8NeDNJ0jaA9tbKJcf8APQ/M5/76JoA3aKKKACiiigAooooAKKKKACiiigCK5toLy2ktrqGOeCVSskUqhldT1BB4IqRVVECIoVVGAAMAClooAKytZ8NaH4ii8vWNKtL0bdoaaIFlH+y3VfwIrVooA8zl+Dlpp0z3HhDxFq/h2VmBMcMxlgOPVGILfix+lM+3/Fnwz/x+abpfiq0XJMlo/wBnuMdsggL+CqfrXp9FAHnNj8Z/DZuRZa7BqPh6+wMw6lbMoyfQjPHuwFd3p+qafq1t9p02+tryDOPNtpVkXPplSRXKfFOKK78JRafLGj/br6C3G5QcEtnIz3wD+dc/e/B7w6bn7bok+oaDfKDsm0+5ZcE+oOePZStTza2I5/ecT1aivJFt/ix4YGLHVNO8UWihVWK9TyZ8dzuyAT7s5+lWoPjTa6fMlv4v8Oat4flZyolkiM0Bx3DgAn/gKn607lXPUay9Pe6m1O9mudPntVISOJpHjIdFBP8ACxwdzN17Y+lYs3xO8Gx6Wt/Frttco/CxW53zE+8Y+Zen8QFavh3xTpPiq0kuNKuTJ5RCyxupR4yemQfXsehwfQ0xlfQ9Cn0rXNVl3D7BLJ5tog/gMmDKPpuVSPqa6GiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA4Hwp/yV34h/TTf/RDV31cD4U/5K78Q/ppv/ohq76gAooooAKKKKACiiigArh/Hnh2+aa18W+HUH/CQaUCRGOl5B1eFvXuR7+5yO4ooAyfDXiKx8VaBa6vp75hnXlD96Nx95GHYg8VrV5nrCN8NPFr+IrdT/wi+ryhdVhUZFpOThbgDspPDf14A9KR1kRXRgyMAVZTkEeooAdRRRQAUUUUAFFFc54o8KN4ja2mg1zVdJu7YN5ctjcFFOcffTow4oAwPHn/ABPPGnhHwsvzRNdHVLwf9M4R8oPszHH4V6FXhPhoeOx4x1zxDYiy8UGwc6MZbhhayyLGQzCPHyDk8k5zXsmg6ld6rpEV3faVPpdyxIe1nZWZCDjqOCD2oA0qKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiq97f2em2zXN9dQWsC/elnkCKPqTxQByfxI+XTtDnP3INatpH+mWH9a6CvPPGXjrSvFui3mgeGLTUddvnK7ZbG3JihdWDAtI2ABx1GetSR6J8T/EyAalqdh4YtGGGis18+4P1bOB9VYfSs7PmbMuV87fodhqut6Xodv9o1TULazi5w08gXdjsAep9hXFzfEuLXjJZeE/DWoeIy37t5DF5VryOjO4/QgfWtvSPhD4U065+231vPrV+TlrnVZTOWP+6fl/ME+9dzFFHBEkUUaxxoNqogwFHoBVWL5T591H4U+LriVtb/ALH0O1mkUIdN0r92UH945whPrg81qeF/BHxH0Ay6ro8um2c0gCSaffneJ1XJBJTODknAyO+SK9xoqijzD/haGveH12+NPBGo2aIo33unEXEHXqcHCj/gRNdVoPxB8J+JSqaXrlpLMxwsEjeVKT6BHwT+Arpa5fXvhz4R8SFn1LQrVpmJJnhXypCT3LJgn8c0AdRRXmH/AArPxJ4eXPg3xxf28aLhLHVALiHr0Bx8g+ik+9L/AMJn8QPDjbfEvgr+0bYNg3uhSGT5R1PlHLfntFAHp1FcRonxc8F64wiXV0sbn+K31AeQyn0y3yk+wJrtkdZEV0YMjDKsDkEetAC0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHA+FP8AkrvxD+mm/wDohq76uB8Kf8ld+If003/0Q1d9QAUUUUAFFFFABRRRQAUUUUAQXtlbalYz2V5Ck1tOhjljcZDKRgivP/B97c+DPEH/AAgerzPJauGl0K8kP+thHWEn++nb29OBXo9c94z8Kw+LdCa0Mpt72FxPZXa8NbzLyrA+nr7fhQB0NFcn4E8VTeILC4sdViFt4g0x/I1G36fN2kX/AGWHI/8A1E9ZQAUUUUAFZPifWU8O+F9T1eTGLS3eVQf4mA+UficD8a1q89+KBOryeHPCCc/2zqCtcL620P7yT/2X8qANb4aaM+h/D/SrefP2qaL7VcFvvGSQ7zn3GQPwrrKAABgcCigAooooAKKKKACiiigAooqNriFJ0gaaNZpAWSMsAzAYyQOpxkfnQBJRXMXvjGF9C8R3ejQm7vdEaWOa2kBTLou4/UEdCOuK1tE1i21vw/ZaxAQsF1brOMn7gIyQT7cg/SgDRorjNW+KfhbTLn7Hb3kmrageFs9LjNxIx9Pl+UH2JrO/tT4keJeNN0ey8NWbdLjUn8+4I9VjXhT7NQB6BNPFbQvNPKkUSDLPIwVVHuT0rib/AOK/h2K6ax0YXfiC/H/LvpMJmx7l/u49wTUMHwpsL2ZLrxXq+peI7lTuC3cpSBT/ALMSnA+mSK7aw02x0q1W106zt7S3XpFBGEUfgKAOG3/E3xL9yPTvCdk3dyLu6x9PuD+YqxZfCfQftK3uvT3viK+HPm6pOZFX2WP7oHsQa7uigCK2toLO3SC1gjghQYWOJAqqPYDgVLRRQAUUUUAFFFFABRRRQAUUUUAY+t+FNA8SRlNY0i0vCV2iSSMb1Hs4+Yfga4t/g+ukytP4N8T6toDl9/kCQz259ijEZ/4ETXplFAHmH9rfFbwwv/Ey0XTvE9oiktNp8vkz/ipHJ9lT8auad8ZvC0919i1cXug34IDW+p27R4J/2hkAe7Yr0Oqmo6Vp2r232fUrC2vIM58u4iWRc+uCDQA+yv7PUrZbmxu4Lq3b7ssEgdT9COKsV5xe/Bjw+tw154evNT8O32CBLp9ywUk+qkk49gQKg+y/FnwycW95pfiuzUgBJ1FtcbfrkL+JLGgD06ivNIPjLp9jMlt4t0LVvDk7E4a5gaSE4/uuoy34Lj3rudH8Q6N4gh83SNUtL1QAW8iUMVz/AHgOV/GgDSornNV8UGw8ZaF4dgtRPLqKzSzPvx5ESLkNjHOW4/Crlh4l0zUrvV7eCYj+yZPKu5HG1FbbuOGPHA6+mKANeio4J4rm3juLeVJYZVDxyRsGV1IyCCOCCO9SUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcD4U/5K78Q/ppv/ohq76uB8Kf8ld+If003/wBENXfUAFFFFABRRRQAUUUUAFFFFABRRRQBwXjvRL6wv7fxv4di36tp6bbu2Xj7da9WQ+rDqp9u/FdZoWt2PiPRLXVtNlEtrcpvQ9x6qfQg5BHqK0a8yuQfhf4vN6g2+EdbnAuFH3dPum6P7I/f0PpgAgHptFAIIyDkGigArz3SP+Kg+M2takfmtdCs49OgPYzSfPIR7gfKa7jU7+HStKu9RuTiC1heaQ/7Kgk/yrkfhPYTW3gaHUbwf6drM8mp3B9WlOV/8d20AdxRRRQAUUUUAFFFFABRXO+IPHnhjwxldV1i3inH/Luh8yUn/cXJ/Sud/wCE18XeIvl8KeEJYIG+7qGuN5CfURj5mHuKAPRK8h+Kfi7QNH1vw3rFtqttNquk3xEtrA4eQ28g2yg44BwBgNitr/hXWsa98/jLxbfXsbdbDT/9Ft/904+Zx7nBrcHw+8NW/hy+0bT9JtbOK8t3geSOPMmGGMlz8xI68ntQB5cuueKJfiRJcaFoy6LB4rhCRnXEOJHhTJcIp4JQgAHgk1J4E+HtrfX+seFfFGpajeDQ51EWnpctFavFIN6uEHOSc9+Miu2sfBup6r4J8LWutziy1rRLiKZZosS58pioGc8h0Az7nnOMV16aJp0evS62lsF1GWBbaSYMfmjByARnHXvjNABpOg6ToNt9n0nTrWyi7iCILu+pHJPua0KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCOeCG5geGeJJYnG145FDKw9CD1rh9Y+D3g3VZvtMGnvpV2CGW40yQwMpHooyg/wC+c13lFAHzvptl4w0nxD4m8UaRrtvqtv4fWTT2n1su7yxoPMkRSOcq3uM5/CsqTxdquh/C7UdM1PQL6zuPEcpuv7WI3QzichmPHQ+Xkbck/Svb9U8A2Nz4J1Dwzpk76dDfTGWaYAyMS0gd+p7gFevApmp+GLq/8d+GrlYo00PRbeV0UNyZyAiDb6KvINAE/hHxZ4Q1LTbLTtA1q0mWCJYIYC+yXaigD5Gw3QeldVXJa98MvB3iLc99odss7ZPn2w8mTJ7kpjcf97Nc7/wrrxb4eGfB/jm7EKgBLHWFE8YHoGwdo/3V/GgD0+ivMf8AhO/HPh07fFXgeS6twTuvdDfzV2jv5ZJI+rFa2tC+K/gvX8JBrUNtcEcwXv7hwfT5vlJ9gTQB2lFICGAIIIPIIpaACiiigAooooAKKKKACiiorm5gs7d7i5mjhhQZaSRgqj8TQBLRWY/iDTYYTNPNJBEAW3zwSRqcDPBZRk47Dk1p0AFFFFABRRkHPPSigDzLRtb03R/i74+/tC8jt/NGnbN/8WIGz/MfnXX/APCa+G/+gvb/AJn/AArktBt4Z/i98QPOhjkwNOxvUHH7g+tdn9gs/wDn0g/79j/CuqnGhyrnTv5Nf5Eu5Z03WtN1gSHT7yK48rG/Yfu56Z/I1frkfDUaReNPEyRoqKBa4VRgD5DXXVOJpRp1OWO1k/vSf6ji7oKKKK5xhRRRQAUUgYNnBBwccUtABRRRQAVU1TTLPWdLudNv4VmtLmMxyxt3B/ke4PY1booA898E6neeHNYk8A67M0k1uhk0i8f/AJe7YdFP+2nQj0Htk+hVzPjfwp/wlOjoLWb7Lq9k/wBo068HWGUdOf7pxgj8e1J4H8V/8JRpEgu4fsusWL/Z9RtDwYpR3A/unGQfw7UAZHxZnluPDdn4dtnK3WvX0ViCvVYy26RvoAMH613VvBFa20VvCgSKJAiKOgUDAH5VwL/8VD8b41+9a+GtPLH2ubjp/wCQxmvQqACisvWvEei+Hbfz9Y1S1skxlRNIAzf7q9W/AGuHl+LcmsO0HgrwzqOttkr9rkX7PbA+u9v5HbSuUot7HplYuueLvD3hqMtrGr2loQM+W8mZCPZBlj+ArhW8P/EHxP8AN4h8UJo9o2CbLRFKtjuDKeQfxYVHovgfw/4R+IGlpBYrOt9bSoJrz98/nId+/LdCRxxiplNI6KWFlUuk9Um/uV3+Bqf8LE1rX/k8G+Eb28jbpf6j/otv/vDPzOPpg0f8IR4t8Q/N4s8XywwN97T9DXyI/oZD8zD2NeiUVZynO+H/AAJ4Y8MYbSdHtoZh/wAvDL5kp/4G2W/WuioooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsPXfB3hzxKrDWNGtLt2AHmtHiQD0DjDD8DW5RQB5kfhHPormXwX4t1XRDuLi1kb7RbE9hsbH5ndTf7d+Kfhhcav4dsfEdqi83GlSmOU89ShGWPsqj616fRQB5/pnxk8JXt0bLUJrrRL4Nta31SAwlT7tyoH1IrurW7tr+2S5s7iG4gcZSWFw6t9CODVfVNG0vW7cQapp1rexDOEuIVkA9xkcH3FeTeJvhppmkeItJt/CF9qPh+91BpBI9pcuUCIu4kqTk9RxuAqZSUVdmtGjKtLkhvZv7ld/gj2eivJ1n+LXhlsB9L8VWQYDDAW9xsH5Lk/8DNWrP426PBMlr4p0jVfDl0wJxdW7PGfowG4/Xbj3p3IcGj06is7Sde0jXoDNpOp2l9GACxt5lfbnpuAOQfY1o0yQrlELa38QLuC4G6z0WKIxxH7rTyAsHPrtXgehOa6usmXSJYdal1XT5Y45riNY7mKVSVl252tkcqwyRnkY7d6ALOq2FtqdmtndEbHljYA/xFGD4/8AHfyzV2qsNtKZlnupFklUEIqLhEz1xnOT2z+QGTm1QAVWvbk21vmNQ8zkJEh/ic9Pw7n0AJqzWLFBLq1/NJqOnXFtDBhbYPKvzZHzN8jnB7YPYe5AAM/wV5sUniC0nmeaWHVZCXfqwZEIP863dX1OHRtHvNTuAzRWsLSsq9WCjOB7npWJ4d0+80/xHrrvp08FjdyRSQO8qNyqbWzhyeSOP6Vv6hY2+p6dc2F2m+3uYmikXOMqwwee1AHgWhfEY6d441jX9TtYorPWWgFwIySbVY12KwP8YwctwPb0PoH/AAtzwJ/0MMX/AH5l/wDiaq6X8FdOs9Yjub7U5L+yicOlpJAF3EHIEjZIYeoCjP04rt/+EQ8M/wDQu6R/4BR//E1cZWA8+0T4n+DLfxVr15NrsKW9yLfyXMcnz7UIb+Hsa6P/AIW/4B/6GS3/AO/cn/xNb6+EvDa/d8P6UPpZR/4Uv/CK+Hf+gBpf/gHH/hTq1XUlzPsl9yS/QSVjn/8Ahb/gH/oZLf8A79yf/E0f8Lf8A/8AQyW//fuT/wCJroP+EV8O/wDQA0v/AMA4/wDCj/hFfDv/AEANL/8AAOP/AArMZz//AAt/wD/0Mlv/AN+5P/iaP+Fv+Af+hkt/+/cn/wATXQf8Ir4d/wCgBpf/AIBx/wCFH/CK+Hf+gBpf/gHH/hQB5d8OviT4S0jTtbj1LXIoXn1q6uIg6Od0bsCrcDvzXY/8Lf8AAP8A0Mlv/wB+5P8A4ms34c+ELGLTtbGq+HrVZDrV0YftNmuTFuG3buH3euMceldl/wAIr4d/6AGl/wDgHH/hQBz/APwt/wAA/wDQyW//AH7k/wDiaP8Ahb/gH/oZLf8A79yf/E10H/CK+Hf+gBpf/gHH/hR/wivh3/oAaX/4Bx/4UAc//wALf8A/9DJb/wDfuT/4mj/hb/gH/oZLf/v3J/8AE10H/CK+Hf8AoAaX/wCAcf8AhR/wivh3/oAaX/4Bx/4UAc//AMLf8A/9DJb/APfuT/4muC8WeOtBg8V2XibwTqsFxqzoYNQgMT+VPCB8rP0+ZTgDHP4CvXf+EV8O/wDQA0v/AMA4/wDCsXxN8NtC1/T1htrW30u6jbdHcWtuin3DAY3KfTI6DmgDyXQPizH4QGtXWoaW99q+r3xuhJHKIotuAAhLZKhe3XIPUY5mb4jar4oH/Ez8d6V4Zs2HNvpsbyT4z3kI4PurfhXpfhT4XaR4eE0t95WrXUo2+ZPbqEReuFQ7sZ4ycnoOldN/wjOgf9APTf8AwEj/AMKlpmkJRW6PHNIPwe0y4N3catDqt8xy11qbPO7H1IK7c++M12a/FLwKiKieILRVUYACOAB/3zXYf8IzoH/QD03/AMBI/wDCj/hGdA/6Aem/+Akf+FLlZp7WJyP/AAtTwP8A9DFa/wDfL/4Vha58RfCNzrHh+5tddtnNtfAyn5hsjYEMTkdOlel/8IzoH/QD03/wEj/wpV8N6EjBl0XTlYdCLVB/SlKHMrM0pYpUpc8V3/FWMP8A4Wl4G/6Gaw/77P8AhR/wtLwN/wBDNYf99n/Cug/sPSf+gXZf+A6f4Uf2HpP/AEC7L/wHT/CtDjOf/wCFpeBv+hmsP++z/hR/wtLwN/0M1h/32f8ACug/sPSf+gXZf+A6f4Uf2HpP/QLsv/AdP8KAOf8A+FpeBv8AoZrD/vs/4Uf8LS8Df9DNYf8AfZ/wroP7D0n/AKBdl/4Dp/hR/Yek/wDQLsv/AAHT/CgDn/8AhaXgb/oZrD/vs/4Uf8LS8Df9DNYf99n/AAroP7D0n/oF2X/gOn+FH9h6T/0C7L/wHT/CgDn/APhaXgb/AKGaw/77P+FH/C0vA3/QzWH/AH2f8K6D+w9J/wCgXZf+A6f4Uf2HpP8A0C7L/wAB0/woA5//AIWl4G/6Gaw/77P+FH/C0vA3/QzWH/fZ/wAK6D+w9J/6Bdl/4Dp/hR/Yek/9Auy/8B0/woA5/wD4Wl4G/wChmsP++z/hR/wtLwN/0M1h/wB9n/Cug/sPSf8AoF2X/gOn+FH9h6T/ANAuy/8AAdP8KAOf/wCFpeBv+hmsP++z/hR/wtLwN/0M1h/32f8ACug/sPSf+gXZf+A6f4Uf2HpP/QLsv/AdP8KAOf8A+FpeBv8AoZrD/vs/4Uf8LS8Df9DNYf8AfZ/wroP7D0n/AKBdl/4Dp/hR/Yek/wDQLsv/AAHT/CgDn/8AhaXgb/oZrD/vs/4Uf8LS8Df9DNYf99n/AAroP7D0n/oF2X/gOn+FH9h6T/0C7L/wHT/CgDn/APhaXgb/AKGaw/77P+FH/C0vA3/QzWH/AH2f8K6D+w9J/wCgXZf+A6f4Uf2HpP8A0C7L/wAB0/woA5//AIWl4G/6Gaw/77P+FH/C0vA3/QzWH/fZ/wAK6D+w9J/6Bdl/4Dp/hR/Yek/9Auy/8B0/woA5/wD4Wl4G/wChmsP++z/hR/wtLwN/0M1h/wB9n/Cug/sPSf8AoF2X/gOn+FH9h6T/ANAuy/8AAdP8KAOf/wCFpeBv+hmsP++z/hR/wtLwN/0M1h/32f8ACug/sPSf+gXZf+A6f4Uf2HpP/QLsv/AdP8KAOf8A+FpeBv8AoZrD/vs/4Uf8LS8Df9DNYf8AfZ/wroP7D0n/AKBdl/4Dp/hR/Yek/wDQLsv/AAHT/CgDn/8AhaXgb/oZrD/vs/4Uf8LS8Df9DNYf99n/AAroP7D0n/oF2X/gOn+FH9h6T/0C7L/wHT/CgDn/APhaXgb/AKGaw/77P+FH/C0vA3/QzWH/AH2f8K6D+w9J/wCgXZf+A6f4Uf2HpP8A0C7L/wAB0/woA5//AIWl4G/6Gaw/77P+FH/C0vA3/QzWH/fZ/wAK6D+w9J/6Bdl/4Dp/hR/Yek/9Auy/8B0/woA5/wD4Wl4G/wChmsP++z/hR/wtLwN/0M1h/wB9n/Cug/sPSf8AoF2X/gOn+FH9h6T/ANAuy/8AAdP8KAOf/wCFpeBv+hmsP++z/hR/wtLwN/0M1h/32f8ACug/sPSf+gXZf+A6f4Uf2HpP/QLsv/AdP8KAOf8A+FpeBv8AoZrD/vs/4Vymp/EXwhL8QLK8OvWrWdvYOBKpJAkZ8Y4HXFel/wBh6T/0C7L/AMB0/wAKY/h7RJSDJo+nuR03WyH+lTOPMjfD13Rk2uqa+/Q4/wD4Wp4H/wChitf++X/wqG6+JXw/vbZ7e71qwngcYeKWJnVh7grg12n/AAjOgf8AQD03/wABI/8ACj/hGdA/6Aem/wDgJH/hS5WP2sTxTVLX4N39yLuz1pdIvA+9Z9NkkiKn2XaVX8AKpr481nwwudH+I+leIbVFJ+zarC6yMT2D4yfxcD2r3f8A4RnQP+gHpv8A4CR/4Uf8IzoH/QD03/wEj/wp2ZLnB9DyKw/aIjuLeS2uPD7Lqm0CLyblZIHbuWbqo74G70z3ro/AfxQu/EWuLpGr2ltHNOrG3ltgyqSo3FSrE9gTnPbpXT694B8P65pUln/Z9tZyEho7i1gRHjYdCOOR1BHcE1k+DPhha+FdUOp3GoNf3aqUhPk+UkYPBOMsS2MjOehPFUZO19DvaKKKBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB1rjvCGl2GoWF9qUtnBJHd30zW4aMEJErbFC+g+Unj1roNclvo9Iuhp1pJc3bxMsSo6LtYg4JLMOM1naQl/pXh6x0y10iUTQQJFvnljWMMBySVZjjOTwKAG+GbqT+1de0sSSS2tjcosDSMWKh0DFMnkhTnGfWukrN0PSE0axaLzPOuJpGnuZyMGWVjktjsOwHYAVpUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//9k=) +![md5:bae0ce889e53f73ba6afa3496d3172d1](bae0ce889e53f73ba6afa3496d3172d1.jpeg) Assume \(BC - BD = 2AB\) . Since \(BD = DN\) and \(2AB = BN\) we can get \(BC - DN = BN\) . Therefore diff --git a/NewZealand_MO/md/en-nzmo1_2024_solutions.md b/NewZealand_MO/md/en-nzmo1_2024_solutions.md index c500a0b5064ef0dd4a1ce7e9f68b9f5372b00bae..7c6b5c9e119cc27def40135f9d50071c0fc17334 100644 --- a/NewZealand_MO/md/en-nzmo1_2024_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2024_solutions.md @@ -47,7 +47,7 @@ Solution: (Ross Atkins) Let the original rectangle be \(ABCD\) . Let the fold line be \(XY\) with point \(X\) lying on side \(AB\) and point \(Y\) lying on side \(CD\) . Consider the fold such that point \(D\) lands on point \(B\) . Let \(P\) be the location of corner \(A\) after the fold. -![](data:image/jpeg;base64,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) +![md5:a3eb6b05bb0a6221303d359939b430b8](a3eb6b05bb0a6221303d359939b430b8.jpeg) The two-sheets-thick area is \(\triangle BXY\) which should be \(80\%\) . By symmetry, triangles \(\triangle PXB\) and \(\triangle CYB\) are congruent with equal hypotenuses @@ -72,7 +72,7 @@ Combining this with \(CD = CY + YD = CY + YB = 9CY\) we get 4. Problem: A dot-trapezium consists of several rows of dots such that each row contains one more dot than the row immediately above (apart from the top row). For example here is a dot-trapezium consisting of 15 dots, having 3 rows and 4 dot in the top row. -![](data:image/jpeg;base64,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) +![md5:5c4563cab3bb4e2797c3e6c885e92d53](5c4563cab3bb4e2797c3e6c885e92d53.jpeg) A positive integer \(n\) is called a trapezium- number if there exists a dot- trapezium consisting of exactly \(n\) dots, with at least two rows and at least two dots in the top row. How many trapezium- numbers are there less than 100? @@ -109,7 +109,7 @@ However this doesn't work because we require \(x > x + 1\) . (when \(y = 1\) the The only remaining possibility is when \(m = 2^{k + 1} \pm 1\) and \(m\) is composite. If \(k > 2\) then \(m = 2^{k + 1} \pm 1 \geq 15\) , so \(n = 2^{k} m \geq 8 \times 15 > 100\) and we don’t need to consider it. For \(k \leq 2\) we get \(m = 1, 3, 5, 7, 9\) . We can’t have \(m = 1\) because then \(n\) would be a power of 2. We also can’t have \(m = 3, 5, 7\) because they are prime. Finally we consider \(m = 9\) and so \(k = 2\) . In this case we get \(n = 2^{k} m = 36\) , which is a trapezium number as seen here: -![](data:image/jpeg;base64,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) +![md5:f2606f42afe6b5680310ec5e4f29106d](f2606f42afe6b5680310ec5e4f29106d.jpeg) Therefore all non- trapezium- numbers less than 100, are the powers of two and numbers of the form \(n = 2^{k}(2^{k + 1} \pm 1)\) where \((2^{k + 1} \pm 1)\) is prime (and \(k \leq 2\) ). The powers of two are: \(\{1, 2, 4, 8, 16, 32, 64\}\) . The numbers of the form \(2^{k}(2^{k + 1} \pm 1)\) with \(k \leq 2\) and \((2^{k + 1} \pm 1)\) being prime are @@ -176,7 +176,7 @@ Solution: (Ross Atkins) Let \(a, b, c\) be the sidelengths \(BC, AC, AB\) respectively, and let \(s\) be the semiperimeter of triangle \(ABC\) (i.e. let \(s = \frac{a + b + c}{2}\) ). Since \(X\) and \(Y\) are the points of contact of the incircle we get \(AX = AY\) . Similarly \(BX = BZ\) and \(CY = CZ\) where \(Z\) is the point of tangency between \(\omega\) and side \(BC\) . Let \(p = AX = AY\) and \(q = BX = BZ\) and \(r = CY + CZ\) as in the diagram. -![](data:image/jpeg;base64,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) +![md5:f0007e18201fdb0963ed8a99aab8e26f](f0007e18201fdb0963ed8a99aab8e26f.jpeg) We have the system of equations: @@ -201,7 +201,7 @@ Adding these together gives us \(C D + C E = a + b + (A F + B F) = a + b + c\) . Therefore \(C D = C E = s\) . This means \(B F = C D - a = (s - a)\) and thus \(X^{\prime}\) and \(F\) are the same point. -![](data:image/jpeg;base64,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) +![md5:bf17397795deae7cc3e9300375ed5af4](bf17397795deae7cc3e9300375ed5af4.jpeg) Now consider the homothety (centred at \(C\) ) that carries \(\omega\) to \(\omega_{C}\) . This homothety sends point \(P\) to point \(X^{\prime}\) (since \(C, P, X^{\prime}\) are colinear). It also carries the tangency point \(Y\) to \(E\) . It follows that diff --git a/NewZealand_MO/md/en-nzmo1_2025_solutions.md b/NewZealand_MO/md/en-nzmo1_2025_solutions.md index 4a662b696f92aafb572b309df186e4a697f5521a..289b9ba5eff4cce1a890d7016ebb9c14a4ff0252 100644 --- a/NewZealand_MO/md/en-nzmo1_2025_solutions.md +++ b/NewZealand_MO/md/en-nzmo1_2025_solutions.md @@ -31,7 +31,7 @@ Solution: (Nico McKinlay) Construct point \(E\) so that \(ABEC\) is a rectangle. The diagonals of any rectangle bisect each other, that is, they meet at each other's midpoints. Hence \(AE\) and \(BC\) meet at \(M\) , i.e. \(E\) lies on line \(AM\) . -![](data:image/jpeg;base64,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) +![md5:99bbb2c21588d48c1bfbc31d69bf004a](99bbb2c21588d48c1bfbc31d69bf004a.jpeg) By symmetry in rectangle \(ABEC\) , we have @@ -178,7 +178,7 @@ and we simply choose \(n > \frac{2}{\epsilon}\) to complete the proof. Solution 1: (Nico McKinlay) -![](data:image/jpeg;base64,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) +![md5:e882fa4ab6ab1d5d106eb7bcfe487c9a](e882fa4ab6ab1d5d106eb7bcfe487c9a.jpeg) Assume \(T\) lies on \(AD\) . Then by the angle bisector theorem in triangles \(AED\) and \(AFD\) , we have diff --git a/NewZealand_MO/md/en-nzmo2_2019_solutions.md b/NewZealand_MO/md/en-nzmo2_2019_solutions.md index 4f7655731b20146015e69f7329233fc8769ca5cb..dba4a56ceb68334109256f83ded3d5cf69cf1f65 100644 --- a/NewZealand_MO/md/en-nzmo2_2019_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2019_solutions.md @@ -65,13 +65,13 @@ Solution: For the purpose of this proof, we will consider a vertex to be any poi There can be no other types of vertex, because all the angles must be \(60^{\circ}\) or \(180^{\circ}\) (or \(300^{\circ}\) in the corners of the original large triangle). We will now colour each edge- end either green or blue, as shown in the diagram (the green edge- ends are also a bit thicker). -![](data:image/jpeg;base64,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) +![md5:5bbd2bd546501f0b6ffceaf0aa5606a4](5bbd2bd546501f0b6ffceaf0aa5606a4.jpeg) -![](data:image/jpeg;base64,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) +![md5:018509b36f48f8170b65bdbc076f8f1c](018509b36f48f8170b65bdbc076f8f1c.jpeg) -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAB7AHkDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKrNfRJqMdi4ZZJYzJGxHyvggMAfUZBx6HjODizTaa3AKKKKQBRRRQAUUVVjvoptRnsow7PAitIwHyqWzhc/3sDOPQj1FNRbvboBaooopAFFFFABRRRQAUUUUAUNXsZL2zBt2VLyBxNbO3RZB2PsQSp9mNS6dfR6lYRXUasm8ENG33o2Bwyn3BBB9xVqsZv8AiU66H6WWpMFb0juAMA+wdRj/AHlHdq2h78OTqtV+q/X/AIcWxs0UUViMKKKKAKeqX66bp8lyUMjjCRRKeZJGOFUfUkD2603SLBtPsQkriW6lYy3MoH+skb7xHt2A7AAdqpwf8TfXWuTzZ6czRQ+kk+MO/wDwEEoPcv6Ctqt5+5Hk6vV/ov6/QS11CiiisBhRRRQAUUUUAFFFFABVa/sotRsZrSbcEkXG5ThlPUMD2IOCD2IFWaKabi7rcDO0e9lurV4rraL61fybkKMAsACGA9GBDD2OOoNaNY2q/wDEsvotaXiEKIL0f9Ms/LJ/wAk5/wBlmPYVs1pVS0nHZ/n1X9dLCQVma1eTQW8drZsBfXjeTAcZ2cZaQj0Vcn3OB3rTJABJOAO9Yujg6jdS65IPkmXyrIH+GDOd31cjd/uhO4p0klectl+fRf10B9jTsrOHT7KG0t1IihQIuTkn3J7k9Se5qeiism23djCiiikAUUUUAFFNkfyonkKswVS2FGSceg7msr/hIIv+gdqn/gE/+FXGnKfwoVzXorI/4SCL/oHap/4BP/hR/wAJBF/0DtU/8An/AMKv2FTsF0a9FZH/AAkEX/QO1T/wCf8Awo/4SCL/AKB2qf8AgE/+FHsKnYLo1XRJY2jkUMjAqysMgg9QayNHlNi0+j3Mh3WYDQSOf9Zbn7pJPUrgqfoCfvCnf8JBF/0DtU/8An/wr5g+M/i2/wBe8c3Nm5mgstP/AHUEDqUIJALMR6k/oBT5ZQi4zWj/ADDc+nNYf+0podFhbK3K+Zdsp+7bg4Iz6uflHtvI6VsqoVQqgAAYAHavlL4IeLb/AEbxtHpoM89hfqyywIhkbcqllZQOcg5z7E19L/8ACQRf9A7VP/AJ/wDCjllUilBaL8w2Neisj/hIIv8AoHap/wCAT/4Uf8JBF/0DtU/8An/wpewqdgujXorI/wCEgi/6B2qf+AT/AOFH/CQRf9A7VP8AwCf/AAo9hU7BdGvRWR/wkEX/AEDtU/8AAJ/8Kt/2iv8Az7Xf/fhql0ZrdBdFyiiisxhRRRQAUUUUAFeO/EP4T23j3xVcXml3S2V5DCi3krqWjlkwNi8chgmCT6FOOSa9V1W/OnWLSxxiW4ciOCLOPMkbhR9M8k9gCe1LpdgNOsEgMnmykl5pSMGSRjlm/Ek8dhgdq1UUoOUuui/V/wBd/IXU8u+HPwstfAHidLjUblb2/nt2FpOqbY42GfMUA87tuCD3G/jjNeu1R1awOoWJjjcRXMbCW3lIz5ci8qfp2I7gkd6dpd+NSsI7jYYpMlJYicmORThlP0IPPfr3olFOCnH0f6ff+gdS5RRRWQwooooAKKKKACiiigAooooAKKKy9auZhHFp9m5S8vSURx1iQffk/wCAg8f7RUd6qEHOXKgZFaf8TbWZL882lmWgtR2aTpJJ+H3B9H7NWzUVrbQ2VpDa26BIYUCIo7ADAqWqqTUnpsthIKxbj/iUa4t0OLPUGWKf0SfpG/8AwIYQ+4T3raqC9s4b+ymtLhd0UyFGAODg+h7H3opTUX72z0f9fiDJ6KzNFvJpoJLS8bN9Zt5UxxjzOMrIB6MuD7HI7Vp1M4OEnFjQUUUVIBRRRQAUUUUAFFFFACO6xozuwVFGWYnAA9ayNGRrySXWplIa6AW3RhgxwD7vHYtkse/IB+7S6tG+o3EGkhG+zSDzbx8cGIHiPPq54I/uhvUVr1t8FPzl+X/B/rcXUKKKKxGFFFFAGLrIOnXMWuRg7YF8u8A/igJzu+qH5vpvHU1sghgCCCDyCKCAwIIBB4INZOipLp8k+kOrmG2w1pIQcGFs4TPqhBXH90Ke9bfHT84/l/wP18hbM16KKKxGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf//Z) +![md5:f62fe60f7215cc7178e7522106b9480f](f62fe60f7215cc7178e7522106b9480f.jpeg) @@ -82,7 +82,7 @@ An edge- end is coloured green if it touches a Type \(B\) vertex along the \(180 Note also that the 6 edges with an endpoint at a type \(A\) vertex must all have their other end being green. There are more blue edge- ends than green edge- ends, so it can't be the case that every blue edge- end is connected to a green edge- end. There must therefore be an edge such that both of its ends are blue. Since neither endpoint of such an edge is a type \(A\) vertex, we can conclude that all four of the angles at the endpoints of this double blue- ended edge must be \(60^{\circ}\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCABxAXkDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+io7iZba2lncOUiQuwRSzEAZ4A5J9hRBNFcwRzwSLJFKodHU5DKRkEe2KAJKKKKACiiigAooqvfXsGnWM15cvshhUsxAJP0AHJJ6ADkmgCxRQDkA0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVdL2CS/msgx+0RIsjKQR8rZAI9RlSPwqxQAUUUUAFFFFABRRVeC+gubq5t4XLSWzKkuAcKxG4Ln1wQce49aALFFFFABRRRQAVh6Z/xKNVl0ZuLaUNc2J7Bc/vIv+Ascj/ZbA+6a3Kzta0+S/sQbZlS9t3E9rI3RZBnAP8AssCVPsxoA0aKqaZqEeqadDdxqybwQ8bfejcHDI3urAg+4q3QAUUUUAFYM/8AxOvEK2o5sdLdZZ/SS4xlE/4ACHPuY/Q1d1rUW03Ty8MYlu5mENrCT/rJW+6D7Dkk9lBPapNJ05dK02K1EhlcZeWZhgyyMcu59yxJ9ulAF2iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAx9dgliEGr2kbPdWOS0aDJmhOPMjHqcAMP9pF7E1qW88V1bRXEEiyQyoHjdTkMpGQR+FSVh6b/wASjV5dIbi1n3XNiey85ki/AncPZiBwlAG5RRRQAUUUUAZ+s6i2mae0sUYlupGENtCTjzJW4UfTuT2AJ7U7SNOXStNjtvMMsuS80xGDLIxy7n6kk47dOgrPsf8Aic65Lqjc2dkXt7Mdnk6Sy/mNg+j9mreoAKKKKACiiigAooooAwn/AOJN4hEnSx1RwrekdyBgH2DqMf7yr3et2quo2EOp6fNZz7hHKuNynDKeoZT2YEAg9iBVbRL+a8tHhvNov7R/IugowC4AIcD+6ykMPQNjqDQBp0UVja/czMkGk2UjR3t+SgkXrDEMeZL9QCAP9pl7ZoAi0/8A4nOty6s3NnaF7ayHZmziWX8xsHsrEcNVv/hIdL88xC5JAlEJlWJzEJM7dhkA2Bt3GM5zx1rG8dX7eFPhpqtxpaiBrSz8q3Cf8ss4RSPpkH8KoSTWGk+D9DXVtHgOhxPaojNJueBsqIpHUqB94rnkkZ780Adfd6paWU8cE0jGeRSyRRRtI5UdW2qCcDIGenI9aYda08aYNRFyHtSdoaNSxLbtu0KBktu+XbjOeMZrmvDs73XxR8aebz9kjsLeLP8AChjaQgfVnNUdCt5b3xR4z02CcQNZarBe2zsm9VkeFS2VyMg4ORkfeJyDzQB21hqdtqPmiHzUkiIEkU0TRuuehKsAcHsehwfSrlZunWFzDeXN9fXEUt1OkcWIYyiIiFioGSSTl2JPuOOK0qACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorjPirq0+jfDnVLi2kaKWQJbiReqCR1RiPfaTj3xQB0EXiHS5pkjjuSweTyklET+U79NokxsJyCMA9eOtS3WsWVncm3kkdpwnmNHDE8rKvIDEICQDg4J64PpXPahPY6bF4fg1jRbeLTxdwxWREm82k+0iHcuAB3XIJwSOo5qLwJO97rPjO7m5lGtvbA+iRRRqo/Un8TQB002sWEWnw3wuBLbz7RC0AMplJ5AQLktxzx2BPQVSuzF4i0x2sJGivrSUPCZo2RoZlGQGUgEAhsH1VzjrmuW8GW8+oWOsQW86QyaP4mvRZ703oqktlSoI4xM44Ixx6YrtNMsJ7WW6ubyeOa6uWUuYkKIqqMKoBJPqck8knoMAAEml6gmqadFdojRlsrJE33onBwyH3VgQfpVysKT/iTeIRN0sdUcJJ6R3IGFb2DqAv+8qd2NbtABWPr11P5cGl2Uhjvr8lEkXrDGP9ZL/wEEAf7TKO9a0kiRRvJI6pGgLMzHAAHUk1jaDG97JPrtwjLJeALbowwYrcfcGOxbJc9/mAP3RQBq2lrBY2cNpbRiOCFBHGg6KoGAKmoooAKKKKACiiigAooooAKwtY/wCJTqEWupxAFEF+P+mOflkP+4xJP+yznsK3a4f4teKZ/CXgG7vLVFa6uHW1iLoGVS4OSQeD8obrxnHWgDtZZY4IXmldUijUs7scBQOSSfSsfQIpLt59cuUZJr4AQRuMGK3Gdi47E5LnvlsfwivjFPFGupP539r3rMVCMHnZgyj+FgTgrxjB4xX0r4d+OPh278P2U2ryzQai0YFwkduzLvHBIIHQ4z7Zrahh6teXLRi5PyVxNpbne+KNETxJ4X1LRncJ9st2jVyM7Wx8p/A4Nczrmm6p4r8HWvhmfTprSaV7db+ZyvlxJG6uxRgfn3bMLj1520z/AIXR4L/5/Lr/AMBX/wAKP+F0eC/+fy6/8BX/AMK6v7Jx3/PmX3Mn2ke5rxadNonjjVNYS3lmstWt4BK0S72imi3KMqOSGVhyAcFecZqXwpo1xY3Otatex+Vdaveef5RIJiiVQkakgkbsLk4OAWx2zWH/AMLo8F/8/l1/4Cv/AIUf8Lo8F/8AP5df+Ar/AOFH9k47/nzL7mHtI9z0CivP/wDhdHgv/n8uv/AV/wDCj/hdHgv/AJ/Lr/wFf/Cj+ycd/wA+Zfcw9pHuegUV5/8A8Lo8F/8AP5df+Ar/AOFH/C6PBf8Az+XX/gK/+FH9k47/AJ8y+5h7SPc9Aorz/wD4XR4L/wCfy6/8BX/wo/4XR4L/AOfy6/8AAV/8KP7Jx3/PmX3MPaR7noFFef8A/C6PBf8Az+XX/gK/+FH/AAujwX/z+XX/AICv/hR/ZOO/58y+5h7SPc9Aorz/AP4XR4L/AOfy6/8AAV/8KP8AhdHgv/n8uv8AwFf/AAo/snHf8+Zfcw9pHuegUV5//wALo8F/8/l1/wCAr/4Uf8Lo8F/8/l1/4Cv/AIUf2Tjv+fMvuYe0j3PQKK8//wCF0eC/+fy6/wDAV/8ACj/hdHgv/n8uv/AV/wDCj+ycd/z5l9zD2ke56BRXn/8AwujwX/z+XX/gK/8AhR/wujwX/wA/l1/4Cv8A4Uf2Tjv+fMvuYe0j3PQKK8//AOF0eC/+fy6/8BX/AMKP+F0eC/8An8uv/AV/8KP7Jx3/AD5l9zD2ke56BRXn/wDwujwX/wA/l1/4Cv8A4Uf8Lo8F/wDP5df+Ar/4Uf2Tjv8AnzL7mHtI9z0CivP/APhdHgv/AJ/Lr/wFf/Cj/hdHgv8A5/Lr/wABX/wo/snHf8+Zfcw9pHuegVgeNfD7eKfCGoaRHIsc0yBoXboJEYOmfbcoz7Zrnv8AhdHgv/n8uv8AwFf/AAo/4XR4L/5/Lr/wFf8Awo/snHf8+Zfcw9pHuW9fsr/xjb6PYPptxYrDfQ3d885XEYjO7YhBO8lsAEcYyc5wDa0yxn8Na/r8gtJ57HU7hb2FoF3lZSgV0YdslAQenJBIxzlf8Lo8F/8AP5df+Ar/AOFH/C6PBf8Az+XX/gK/+FH9k47/AJ8y+5h7SPc3vBuhz6JpNybwKt7qF7PqFwinIjeVs7M99o2jPtXRV5//AMLo8F/8/l1/4Cv/AIUf8Lo8F/8AP5df+Ar/AOFH9k47/nzL7mHtI9zt9QsYdT0+ezuAfLlXaSpwynswPYg4IPYgVU0O+murSS3vSv8AaFm/kXOBgMwAIcD0ZSGHpnHUGuT/AOF0eC/+fy6/8BX/AMK+fPiH8RdS8T+K764srye208EQwxwsY98aE7S+MZOWY89NxFYV8HiMOk60HG/dWKUk9mfU2sf8TbUIdBTmAqLi/P8A0yz8sZ/32Bz/ALKuO4rdr5x+BvxDu4dYvdH1i4nuYLiPz45mR5pVdQq4JALFdoHXptGMZNe6f8JVpX9+7/8AAGf/AOIrmGbVFYv/AAlWlf37v/wBn/8AiKP+Eq0r+/d/+AM//wARQBtUVi/8JVpX9+7/APAGf/4ij/hKtK/v3f8A4Az/APxFAG1RWMPFOlMwAa7yTj/jxn/+IrZoAKKKKACsPxf4Xs/GPhq70W9YokwBSVRkxuDlWH4/mMityigD5huP2dvE1vJM/wBvsJraIFx5RcyyKOyqVA3EdiQM96+h/C+n6bpXhbTLLR23afHbr5D93UjO4+5JJPua16wrH/iTa5JpjcWd6XuLM9kk6yxfrvH1fstAG7RWN4r11fDPhTU9ZZBIbSBpFQ9GbooPsSRXN2tlps+maQLnUpodXmnhkbVGg+a4lBDNGsrLgK2CAqnGOBkZFAHe0VxtnMniD4ieILK9jWa00eC1ihgkG5PMlVpHcqeCcbAD2GcdTnO097m8fxF4fET3tvpGqxMtszj97bOiyeTljggEtgE4IAXpQB6Erq6hkYMp6EHINLWFoNmYb6/uYtOOnWUyxiO2IVSXXdvk2qSBkFB6nZz2rdoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiue8c+IJPC/g3UdVgUNcxoscCt08x2CKT7AsCfYUAdDRXFw6fo5l0WKLUZ4NQFws3254CJNRKqSyea68huThT90cfKKPD7Q+KNf8AE9xqEKXMFlf/ANnW0My7ljVI1LkA8AsznJ64AHagDsyQASTgDqTQrK6hlIKnkEHg157oc11rOgzWk8MmpR6JrtxZzwuwZ7mGPeI87iAxXfEfmPOzPJ69T4ftHtmvpVsTYWs8oaG1O0FflAZtqkhdx5wPTJ5JoA2q+fvG/wAGLnxT4z1XUPDNxbxxGQG6W5Zgv2hvmcIQDngqTnoWIHQge4a1qElhYgWyq99cOILWNujSHOCf9lQCx9lNTaZp8el6dDZxMz7AS0j/AHpHJyzt7sxJPuaAPLvhJ8OF8D61qP8Aak0cutNCvlGIkxeQxGSpIBJ3Lg8ccf3q9crI160naKHUbGMvf2DGSNB1mQ/fi/4EBx23BT2rRs7uC/sobu2kEkEyCSNh3UjIoAmooooAKKKKACiiigAooooAKKKKACs/WdOOp6e0UUgiuo2EttMRny5V5U+47EdwSO9aFFAHG+Kbebxp8MNWtbaEpezW7obYnLJPGcmP67lxnoeD0NY/i26h134Z6dp2iyo2oXklmlnFGfnidJEZiR1XYFbOemOa6y5/4kviBL0cWOpMsNx6Rz/djf8A4EMRn3EfvW0lvBHM8yQxrK/3nCgM31PegDkNJg/sn4oeJGuCETWLe1ubZjwHMSNHIoPqPkOPRqXwVavLrnivXgP9G1K/VbZu0kcUax7x6gsGwe+M9CK66e3guY/LuIY5UznbIoYZ+hp4AAAAAA6AUALRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcf8UdGn134d6pZ2sLTzqEnSJRkv5bq5UDuSAQB6muwooA4HxpdQeINP8NW+h3Ec9zPqttdQGFgSkSHc8hA6KF4PuQOpxVrwpGmheIvF1jdyLF59+dUiZztDxSRoGYZ7KyMD6ceorsI7eCGR5I4Y0eQ5dlUAsfc96Sa2guQongjlCncu9A2D6jNAHKfDqylg0nVdQkRkXVtXutQhVhg+U7AISPdVB/GuworG12aWcwaNayMlxfZEkiHBhgGPMcHseQoP95wexoAj0v/AIm+qy6y3NtEGtrAdiuf3kv/AAJgAP8AZUEfeNbtRwQxW0EcEMaxxRqERFGAqgYAA9MVJQAVhWf/ABJtdk048WV+z3FoeyS/elj/AB5kH1k7AVu1Q1jTv7T054Uk8q4RhLbzYz5UqnKt7jPUdwSO9AF+iqOj6j/amnJcNH5U4JjnhJyYpVOGX3wQcHuMHoavUAFFFFABRRRQAUUUUAFFFFABRRRQBXvrKDUbGezuU3QzIUcA4OD6HsfQ9qo6DezzW8tjfPu1CxfyZ2xjzBjKSAejLg+gO4dq1qwtdU6Zcw+IIgdtuvlXqj+O3JyW+qH5/pvA5agDdooBBAIOQe9FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBHcTxWttLcTyLHDEheR2OAqgZJP4Vl6FBLKJ9Xu42S6vsFY3GDDCM+XGfQ4JY/7TsOgFR6kDq+rQ6QObWDbc3p7Nz+7i/EjcfZcHh63KACiiigAooooAwbv/iS6+l+OLLUWWC69Em+7FJ/wLiM+/l+hreqC9s4NQsZ7O5TfBOhjdc4yCPXsfeqGg3dxJby2F85a/sW8qVyMeauMpKP95cE44DBh2oA1qKKKACiiigAooooAKKKKACiiigAo7UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAd6KKKACiiigAooooAKO9FFABRRRQAUUUUAf/9k=) +![md5:d48c633d9f0fd9e595a6cc1b371d7452](d48c633d9f0fd9e595a6cc1b371d7452.jpeg) Therefore this edge is a shared side of two triangular pieces. These two triangular pieces must therefore be the same size. \(\square\) diff --git a/NewZealand_MO/md/en-nzmo2_2020_solutions.md b/NewZealand_MO/md/en-nzmo2_2020_solutions.md index 4d98789bde6b4e9cf63e9c806997a0e00b0d6f91..76a8095067c2cfdad5bf820c79651c6b54ee23b6 100644 --- a/NewZealand_MO/md/en-nzmo2_2020_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2020_solutions.md @@ -49,7 +49,7 @@ Therefore the smallest positive possibility for \(N + 2\) is 504. Thus \(N = 502 Solution: Divide the circle into 6 equal ( \(60^{\circ}\) ) arcs. By the pigeon-hole principle (since \(13 > 2 \times 6\) ) there exists at least one arc which contains at least three of the marked points. Let this \(60^{\circ}\) arc be \(AB\) , and let the three marked points be \(X\) , \(Y\) and \(Z\) in that order. -![](data:image/jpeg;base64,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) +![md5:99abfa9e89b6df2b8bb12a8f787f605a](99abfa9e89b6df2b8bb12a8f787f605a.jpeg) Let \(M\) be the midpoint of arc \(AB\) . Points \(X\) and \(Z\) both lie within the minor arc \(AB\) so the base of triangle \(\triangle XYZ\) is less than or equal to the base of triangle \(\triangle AMB\) . Also the distance from \(Y\) to \(XZ\) is less than or equal to the distance from \(Y\) to \(AB\) , which is at most the distance from \(M\) to \(AB\) . Hence: the base and height of triangle \(\triangle XYZ\) are less than or equal to the base and height of triangle \(\triangle AMB\) respectively. Therefore @@ -78,7 +78,7 @@ as required. Solution: Let \(\lambda\) be the common tangent of \(\Gamma_{1}\) and \(\Gamma_{2}\) at point \(A\) . Let \(P\) be a point on \(\lambda\) such that \(P\) and \(C\) are on opposite sides of line \(AB\) . Let \(Q\) and \(R\) be the points of intersection of \(\Gamma_{1}\) with \(AB\) and \(AC\) respectively. -![](data:image/jpeg;base64,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) +![md5:ec506ddeedd78c0f7630939e755f3f41](ec506ddeedd78c0f7630939e755f3f41.jpeg) \[\angle BCA = \angle BAP\] \[\qquad = \angle QAP\] \[\qquad = \angle QRA\] diff --git a/NewZealand_MO/md/en-nzmo2_2021_solutions.md b/NewZealand_MO/md/en-nzmo2_2021_solutions.md index 0beae3be7db3e0ef338dd901da3b522ce46a20d3..2d448921ac94fa659ce91661b698d12fa647cc66 100644 --- a/NewZealand_MO/md/en-nzmo2_2021_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2021_solutions.md @@ -11,7 +11,7 @@ Determine the length of the diagonal \(BD\) . Solution: Since \(AD = DC\) and \(\angle ADC = 90^{\circ}\) , we can fit four copies of quadrilateral \(ABCD\) around vertex \(D\) as shown in the diagram. -![](data:image/jpeg;base64,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) +![md5:ed8c2107bcb244f3199667fd9acfdb08](ed8c2107bcb244f3199667fd9acfdb08.jpeg) The outer shape is a quadrilateral because \(\angle DAB + \angle BCD = 180^{\circ}\) . Moreover it is a rectangle because \(\angle ABC = 90^{\circ}\) . In fact it is a square with side- length 2021 because of rotational symmetry and \(AB + BC = 2021\) . Also \(D\) is the centre of the square because it is the centre of the rotational symmetry. So \(BD\) is the distance from a vertex to the centre of the square, which is half the length of the diagonal of the square. Thus @@ -102,7 +102,7 @@ Comment: The example \(\{1,3,7,9\}\) is not the only example that satisfies the Solution: Construct the tangent line to \(\Gamma\) at \(P\) . Note that this line is also tangent to the circle through points \(C\) and \(P\) with centre \(O\) . Also construct point \(E\) on this tangent line to the right of \(P\) . Note that \(\angle EPO = 90^{\circ}\) and \(\angle OCA = 90^{\circ}\) because the radii and tangents are perpendicular. -![](data:image/jpeg;base64,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) +![md5:d5576ee95456eaef99d3c209d49a4200](d5576ee95456eaef99d3c209d49a4200.jpeg) Let \(x = \angle PBQ\) diff --git a/NewZealand_MO/md/en-nzmo2_2022_solutions.md b/NewZealand_MO/md/en-nzmo2_2022_solutions.md index d8d653f6a57731dc1ea416ee32422a0b0611b5e0..d4d56313b35340e411e61cbf8d168384ee192c64 100644 --- a/NewZealand_MO/md/en-nzmo2_2022_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2022_solutions.md @@ -95,7 +95,7 @@ Solution: (Kevin Shen) First note that \(ID = IE = IF\) because they are all radii of the incircle, and \(\angle BFI = \angle BDI = 90^{\circ}\) because tangents are perpendicular to radii. Since \(\angle ABC = 90^{\circ}\) we have \(BFID\) a square and so \(BD = BF = ID\) too. Thus \(\triangle EIF\) is isosceles and so \(\angle IFE = \angle FEI\) . -![](data:image/jpeg;base64,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) +![md5:c2adea5b9d0e58a2c99f986c72f9a2e8](c2adea5b9d0e58a2c99f986c72f9a2e8.jpeg) Since \(CI\) is the bisector of \(\angle DCE\) , we see that \(D\) and \(E\) are reflections of each other over line \(CIP\) . Therefore \(\angle IDP = \angle PEI\) . Hence diff --git a/NewZealand_MO/md/en-nzmo2_2023_solutions.md b/NewZealand_MO/md/en-nzmo2_2023_solutions.md index 8feb724fdf52a67d5fb611af1fcb43cdd1d7e206..569074f25d19dcc639371304adf792711694981f 100644 --- a/NewZealand_MO/md/en-nzmo2_2023_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2023_solutions.md @@ -63,7 +63,7 @@ Solution: (Kevin Shen) Since \(Z\) lies on diagonal \(AC\) , we have \(\angle DAZ = 45^{\circ}\) and \(\angle ZAB = 45^{\circ}\) . Therefore \(B\) lies on diagonal \(AY\) of square \(AXYZ\) and \(\angle BAX = 45^{\circ}\) . -![](data:image/jpeg;base64,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) +![md5:4202f96cc9b60e6fbaca4c97d9e55390](4202f96cc9b60e6fbaca4c97d9e55390.jpeg) Since \(AB = AD\) and \(AX = AZ\) and \(\angle BAX = 45^{\circ} = \angle DAZ\) , we have congruent triangles diff --git a/NewZealand_MO/md/en-nzmo2_2024_solutions.md b/NewZealand_MO/md/en-nzmo2_2024_solutions.md index 8770b59c8a4c67c0bd6925b3c60bbea5307a1f0c..cbca4e84bcf12d7e988d67f3a509a211c1836e51 100644 --- a/NewZealand_MO/md/en-nzmo2_2024_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2024_solutions.md @@ -49,7 +49,7 @@ Let \(x = \angle ABF\) and let \(y = \angle BCA\) . Since \(\triangle ABF\) is i \[\Rightarrow \angle BCA = \angle BDA = \angle ACE = \angle ADE = y.\] -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIKAhcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorF1Xxf4c0Mkanrmn2rjrHJcLv/wC+c5/SuZf4xeGJmKaTDq+tODjbp2nyPz6fMFoA9Aorz8+OvFl7/wAgn4camyno2oXUdrj6g5NH274rXeDDo3hmwB7XV1LKR/3xQB6BRXn/APZfxTuB+98R+H7Qn/n3sXkx/wB9mlHhb4iyD958R4ovaLRIT+pNAHf0VwH/AAhnjhh83xMuc/7OkwD+tH/CHeO1x5fxMnGP7+jwN/WgDv6K4A+GviREf3fxAtZ/+uujRrn/AL5NJ9j+K9tzFqvha8x2uLeaPP8A3xQB6BRXn51n4o2fM/hPRdRx1FlqJiz/AN/BSf8ACxtYsh/xOPh94ht8feayVLtR+KkcUAeg0Vwlr8YPBc0wgutRl064P/LK/tpISPqSMfrXW6drOl6xH5mmalaXiYzut5lkH6GgC9RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRXM+I/H3hzwxILe+vxJfNwljbL5s7nsAi8jPvgVgf2r8Q/FfGlaZB4X09+l1qQ826I9VhHCn2b86AO+u7210+2e5vbmG2gTlpZpAir9SeK4m6+LOhyXDWnh+01HxFdqcFNMt2dFP8AtSHCge4zRafCjRpLlb3xHd33iO+HIk1GYtGp/wBmMfKB7HNdva2ltY26W9pbxW8CDCxxIEVfoBwKAOEFz8T9e/1NlpHhm2b+K4c3dwB6gL8n4Gk/4Vc+pfN4n8W67rBP3oVm+zQH/tmnT869CooA5jSvh14P0UL9h8O2CsvSSWLzXH/Anyf1rpURY0CIoVRwFUYAp1FABRRRQAUUUUAFFFFABRRRQAUUUUAQXVna30Jhu7aG4iPVJUDj8jXJ6j8KPBWpSecdDhtJwcrLYs1uyn1GwgfpXZ0UAeff8ID4k0g7vDfjvU0QdLbVUW8Q+wY4Kj6Uh8SfEHQc/wBt+ErfV7detzoc53Y/64v8xP0r0KigDjdI+KPhTVrgWj6gdNvuhtNSjNvID6fNwT7AmuxBDKGUggjII71n6voGka/b/Z9X021vY+wniDFfoeo/CuNb4Z3WiMZfBXiW/wBHwcixnb7TaH22PyufXJNAHodFedf8Jz4l8M/J4z8MubZeuqaPmeED1ZD86D3P5V2WieI9H8SWf2rRtRt72LuYnyV9mXqp9iBQBp0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFYUusXGoavPpekeXutcfa7uVSyRE9EUAjc+PfA756UAbtFc7rc2r6JpUl1Z3LX8pZIhHcIgwzsEVhsUdCwyDnI7iuhUEKATkgcn1oAWiiigAorK1/xJpHhfTmv9ZvorWAcLuOWc+iqOWPsK4oXXjP4gn/QVn8KeHm/5eJF/065X/ZX/AJZA+vXuM0AdD4m+IGh+GJls5ZZL3VZOItNsk82dz2+UdPxx+NYI07x541+bVLv/AIRTSH6Wlk4e8kX/AGpeifhz2Irp/DPgvQvCcLDS7MCeT/XXcp3zzHuWc8nnnHT2roKAOf8ADfgnw94UjI0nTo45m/1ly/zzSHvuc8/h09q6CiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuN1z4Z6Fq15/aVkJ9F1ccrf6Y/kuT/tAcNnvkZPrXZUUAebnXvG3gn5fEWn/APCRaQn/ADE9Nj23Ea+skPf6rwPWuy0DxNo3iiwF5o2oQ3cXG4IcMh9GU8qfqK1q4zX/AIcaZql8dX0qebQtcHIv7D5S5/6aJ0cHvnk+tAHZ0V5xD451rwhPHY+P7ILbswSLXbJC1vJ6eYoGY2/T2xzXoVtcwXltHc2s0c8Ei7kljYMrD1BHBoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGuWEbFBlgDgeprlPhtGB4Jtblm3z3cks87nq0hcgk+/AH4V1tZEWiGxmnfTbyS1inkMjwFFeMOfvMoPKk9cZx7UAaE0sJnhtpE3vJlwNuQNpB3H6Hb+JFT1XtrRLcs5d5ZnxvlkILNjoOMADk8AAcn1Ncl4g+KHh/w7q7aZOl5czx4Exto1ZYicHBLMMnBzhc/nQB2tcJrvj+abVJPD3g2zXWNbXiaXP8Aotn7yuOp/wBkc8Y68VlG+174pu0Wlvc6J4R3FJL3G25vwDgrGP4E6gk8/qK77QvD+l+GtLj07SLOO1tk52oOWPqx6sfc0Ac14f8Ah5Fbakuu+Jbxtd188iedf3Vv32wx9FA9evfjNdvRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBHPBDdQPBcRJLDIpV45FDKwPYg9RXnl14J1nwfcyal4AuFFuzF7jQbpyYJfUxMf9W36fgMV6PRQBzHhTxzpniky2oSWw1e34utMuxsmiPfg/eX3HqM4rp65jxX4G03xT5V0XksdXtubXUrU7ZoT25H3l9j6nGKxNJ8baj4f1SHw948SO3uZDss9XjGLa99j2jf1B4+nGQD0KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorB8V+LNP8I6WLq83yzyt5draQjdLcyHoqD8ue1AE/iTxLpfhTSH1LVrgRQqdqIBl5X7Ii9yf/18V8m6r4rXUtZ1LUjYSwx3d1LNGm7djJyQT7Z/zivRPE9hrut67Y2mqSJJ4u1ZT5Nqh3Q6HZn7zehkIGN3scc7TUy+ENLv/iNeeFbSHZa6V4aa1jZuf30hz5h9/wB6T9RUtkuVjp9CuvF3w70W2trrSYfEHh8AypdaQSZ4Q5LnMbffGWOCMcdfSu78OeMdB8WW5l0fUYp2UfvIT8ssf+8h5H16Vi/CTWG1j4b6X5x/0myU2M645VojtAPvt2n8aueI/h5oHiS4F7JBJY6ohzHqNg/kzqfXcPvfjmqKOrorzj7Z4/8ABXF7bjxbpCf8t7VRHexr7p0k/Dk9Sa6bw1438P8AixCNLv1a5T/WWko8ueMjqGQ88eoyPegDoaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqOsaNp2v6ZNpuqWkd1aTDDxuP1B6gjsRyKvUUAeXw32r/AAqnS01eWfVPBzMEg1AjdPp+eAkuPvJ2DdvyFemW9xDd20dxbSpNBKoeOSNgysp6EEdRRNDFcwSQTxJLDIpR43UFWU8EEHqK8zntNQ+E11Je6ck194Llcvc2Yy8mmknl4+5j9R26+poA9QoqtYX9pqlhBfWNxHcWs6h45YzlWFWaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorK8R+ItO8LaHcatqcvl28I4A5aRj0VR3J/zxQBW8WeK7Dwjo5vrwNLM7CK1tYuZLiU9EUf5xXDCFvC2n3fxH8dlJ9cMe2zsg3yWgbOyGP8A2znlucc+5Ot4S8O6hrGrjxt4ti26i6kadYNyunwnpx/z0I6nqPboOR1fWn8XeNoNfubC7u/BWiTtHbyW6b0luFxmZl6lAeh6ce5BUnZXZMpKKuzpfh94dvbWK78S6+N/iHWWEtxuHMEf8EQz0AGMj2A/hrO+H5e/8fePdVlQf8f0dkj47RBlI/IJXa2HiDSNTtWubLULeaJFLvtflAOSSOo/EVxvwWhm/wCEDfUJjl9Sv57sknk5IQ5/FDUJ31RCaeqLfgNzonxL8YeHGLCG6ZNXtVIwMPxKR/wIqP8AgNem15Z4uP8AYXxK8HeJACIZpm0m6bdgbZAfLz7Bix/CvU6tGiCuZ8S+AvD/AIpcT3toYb9OY7+1byriMjoQ46498iumopjPOP8Ai4Hgr+74v0dPpFfRL/KT/wBCPtXQ+GvHvh/xS7QWV2Yb9OJLC6XyriMjqCh649siumrnvEvgjw/4rRTqlgrXKf6u7iPlzxkdCrjnj0OR7UAdDRXnH2Tx/wCCubK4Hi3SE/5YXTCO9jX2fpJ+PJ6AVu+HPiHoHiS4NlHPJZaohxJp18nkzqfTafvfhmgDqqKKZKrPC6o21ipAb0NAHOWF3J4p1C7kWR00a0lMCLGxU3Ui/eYkc7B0AHXnPHFReK/K8OabFrOnols9vcRCRIhtWaNmCsrKOD1yD1GOO9ReBJ49P8F2Fm0UhuoWljnhQZdHVzvz9Mg/iMdRUmsxr4r1Sw0y2Ik061nW6vplPykrykQPcknJHYAetAHWUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFIyq6lWAZSMEEZBFLRQB5dfWV38KdTl1fSoZbjwfcyb7+wjGTYMes0Q/ueq9vyx6VZXttqNlDe2c6T206B45YzlWU9CKldFkRkdQyMCGVhkEehrzB1l+EmteYgeTwPfzfOoyx0uZj1H/TJj+X1+8Aeo0U2ORJo0kjdXjcBlZTkMD0INOoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAhu7q3sbSa7upkht4UMkkjnCqoGSSa850Czn+I3iGLxdqsTx6DZOf7EsZBjzSP+Xlx6n+Edv1Ka1JJ8S/Fknhq1dh4Z0mUNq06HAuphytup9ARlv6cZ6/xT4isfBfhibUZYxshURW1tGMGWQ8JGoHr7dACe1AHO/EDVrzVb618CaFKU1HU0L3twvP2O06Ox/2m+6Pr2yDXZ6RpNnoWkWul6fCIrS1jEcaD0Hc+pPUnuTXMeA/C13pmm3mq61IW8Ray3n30q9Ysj5Yl9Ag4+vsBT9LvL6GLxFpl7qFzNf2swFvIxUMY5B+5K4XGcnaeDyKlysTKXKyj8SfDPh1PB2t6xLpcKXkFnK8c0OY28zaQpO0jPJHXNYHgjxRpfh/wVo+mSWeqLJDbKZB9jcje3zNg9xljWt8VYp7X4YHSGvJrm61G6trITyY3OzSKTwAB0U8V29xqul6S9vZXF3Dbu4Cwxu2Cw6AD16VLjbVaESjbVaHlPxC1ZvFfgu+s9O0DWnmi23MVy9oUSJkO4nJPXaGH416n4a1Ya94Y0vVhtzeWsczBeisVBYfgcj8Knm1LT1v10ya5h+1SpkW7H5mX1x6VxnwoZtP0rWPC8hO/QtSlt4wephY742/HcfypxVt3cqCa3dz0CiiirLCiiigArC8R+DtB8V24i1jTop3Ufu5h8ssf+645H06Vu0UAecf2R478F/Not+PFGkp/y46i4S6RfRJujf8AAvwFXrD4seGJ4p01OafRr+3XM1hqETRzD/dH8fttyfau5rzf416fbS+Cl1OTylnsblHjJTLyBsoY1PXJ3g4/2fxABs6H4i8KeMb24OnMP7QWP94HjaKVk6Z7b1zj1xxnGRVjwpYa/aWtvbautnBBZRCGGO1JPnEDG9vTjt6kk9BXlHhjwd480PU4fEFlokBe0BzZ3dyI3uFZSCq4yAR1+bAzjrXpeh/EvRdTvRpepJPoesjg2OpL5bMf9hj8rA9u59KAOzooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACoLyzttQsprO8hSe2nQxyROMqyngg1PRQB5p4eurj4d+IofCGqTPLoV65/sS9kOfKb/n2c+v909+nsPS6x/E/huw8V6DcaTqCnypRlJF+9E4+66nsQf8Ohrn/AXiO/kmu/CniNh/wkGlABpD0vIOiTL654B9/rgAHcUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXFfEHxHe2UVn4c0AhvEOssYrcg/8e0f8czegUZx7+uMV1Gr6rZ6HpF1ql/KIrW1jMkjew7D1J6Adya474d6TeX0t3441yIrqusAfZ4W/wCXW0H+rjHoSMMfXjvmgDpfDPh2x8I+HbbSbLiGBcySv96RzyzsfUnn9O1cZoin4j+Nf+ElmBbw3o0jRaSh+7czjh58dwOi/wBCDVnx7qN3r+q2/gDRZmjuL1PN1S5T/l1tO4/3n6Aeh9813Om6daaRpltp1jCsNrbRiOKNeyj/AD1oAlubiGztZrm4cJDCjSSOf4VAyT+VYjadbah4ss9XhdiIbMrJj7sm4ho8j2+c+2RW+QGUqwBB4IPemQwQ20flwRRxJnO1FCj8hUtXJcb7nBfEL/TvGHgLRuvm6q18V9rdN3/s1dF4wsJrzQXuLNc31hIt5a+7x87f+BDcv41zt1/xMfj1YRdU0rRJJ8+jyybMf9812N1Lqa3zR28ETWrwgJLu+ZJcnJYE/dAweMknPSiSurBNXVmQaJdw6zH/AG1CD5NxGq25I52Dk/QliR/wEVyp/wCJD8cR/Db+JNN/76uLf/7Wa7u0torKzhtYF2xQoI0HoAMCuF+K6tYaRpPieJT5mhalDcuR1MLHZIv4hh+VNKy1HFNLU9AopEdZEV0YMrDII6EUtMYUUUUAFFFFABXnOqf8Vn8VLPSF+fSfDQW9vP7sl2w/dIf90Zb8xXXeKvEFv4W8MX+s3OCttEWRM/fc8Kv4sQKyvhz4fuNB8LJJqOW1fUZGvtQdhyZZOSp/3RgfUGgDrazNc8O6P4ksjZ6zp0F5D2Eq8r7q3VT7gitOigDzj/hEvFvg/wCfwfrH9pacv/MH1d920ekU3VfYHj1zWhpHxO0q4vl0vX7efw7q54+y6gNqOf8ApnJ91h6dM9q7eqGr6Jpev2LWWrWEF5bt/BMgbB9R3B9xzQBfBBGRyKK85PgnxJ4SJl8D62ZbJef7G1ZjJDj0jk+8nsOnqat6b8T7Fb1NL8U2Nx4b1RuAl7/qJT6pMPlI+uPxoA7uikVldA6MGVhkEHIIpaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuK+IHhu9vYbXxHoAC+ItHJlt8f8ALxH/ABwt6hhnHv6ZNdrRQBj+FvEdn4r8PWusWJIjmX542+9E44ZG9wf8e9bFeaXn/FufiCuoL8nhrxHMI7ofw2t4fuyeyv398k9BXpdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWD4y8SReE/C17qzr5ksa7beLqZZW4RQOvJI/DNAHJ+JM+PPHtv4TjO7RNIKXmsEfdlk6xQH/0Ij+orq/GPii38IeHJtRkj82ckQ2lsv3p5m4RAPr+gNUvAXh1vC3hXfqUobVLxmvtTuHI5mflsn0UcenBPesDw2j/ABC8YnxfdK39haY7QaJC44lcHD3BH1GF+nYjkA3fAHhe40HTJ77VnE/iDVZPtOozejHpGP8AZUHA7de2K66iigAooooA8+8H/wCn/FPx1qZ5SF7WxiPpsjJcf99Yr0GvPvhD/pXh3V9ZPP8Aa2s3V2reqlto/D5TXoNABWb4g0mPXfDuo6TLjbeWzw5PYspAP4HB/CtKigDkPhfq0mr/AA80p58i6tozZ3Ct1V4jsOfcgA/jXX1594M/4knxF8YeHT8sU8qavar6iUYlx7BwBXoNABRRRQAUUVl+I9ctvDXh2/1m8P7m0iMhXON56Ko9ySB+NAHG6/8A8Vl8TNO8OL8+l6Ft1LUvR5j/AKmM/qxHcfSvRq434a6Hc6X4abUNUGdZ1iU398xHIZ+VT2CrgY7HNdlQAUUUUAFFFFABVTUtLsNZsns9Ss4Lu2f70UyBl+vPf3q3RQB503gHWvC7GfwHrjW8AO46PqRaa1b2RvvR/h+dT2PxOgsruPTfGWmT+HL9jtWSc77WU/7Ew4/PGPWu+qvfWFnqdpJaX1rDdW0gw8UyB1b6g0ASxSxzxJLFIskbjcrochh6g0+vO5fh1qHh2V7rwFrcmmZO5tLvCZrOQ+wPzJn1Gfwp9r8S20m5jsPHGkTaDcsdqXf+ts5j/syD7v0PTuaAPQaKit7iC7t0uLaaOaGQbkkjYMrD1BHBqWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMzxDoVn4m0C80e/Tdb3UZQkdVPUMPcHBH0rnPhxrl5c6fd+HdafOuaFILW4JPM0eP3co9Qy9/bPeu2rznx9E/hXxDpnj+0RvKt8WWrog/1lq5wHx3KNg/l2FAHo1FNjkSaJJY3V43UMrKcgg9CKdQAUUUUAFFFFABRRRQAUUUUAFFFFABXnF8P+E1+LFvp+d+j+Fwt1cD+GS8f/VqfXaOfY5Fdh4p16Dwx4Y1HWrjBS0hLhT/G/RV/FiB+NcLpl23w2+GK6hexm68R6xMbgwY+e4vJuVTHXjgH6HHWgC345vbnxTrsPw/0iZoxMgm1m5jP/Hvbf888/wB5+mPQ+hNd9Y2VtpthBY2cKw21vGI4o16KoGAK5zwH4Vk8NaPJLqEv2jW9Rk+06lcnkvKf4Qf7q5wO3U966ugAooooAKyvE+of2V4U1fUM4NtZTSg+6oSP1rVrhfjDdPb/AAx1SKH/AF92YrWMepeRQR+WaAL3wx0/+zPhl4et8YJs1mI95P3h/wDQq6yoLK1SxsLe0j/1cESxL9FGB/Kp6ACiiigDz7xj/wAST4keEPEI+WG5kfR7pvUSDdEP++wTXoNcd8UdKk1X4eaoLfIurRBe27DqrxHfx74BH410Gg6rHrvh7TtVixsvLdJgB23KCR+B4oA0aKKKACvOfFX/ABWHxB0rwinz6dpu3U9V9GI/1MR+p+YjuOe1dtrmsWugaHe6tettt7SJpX9TgcAe5OAPc1zPwy0e6tdBn1zVFxrGvTG+us9UVv8AVx/RVxx2yRQB21FFFABRRRQAUUUUAFFFFABRRRQAVFdWtve20ltdwRTwSDa8UqBlYehB4NS0UAee3Hw1m0W4e+8C6xNok7Hc9jJmWzlPuh+79R07Ckh+I95oEyWfjzRZdIcnaupWwM1lKf8AeGSmfQ598V6HTJoYriF4Z40licbXR1DKw9CD1oAjs7211C1jurK5hubeQZSWFw6sPYjg1PXAXnwyTTrqTUfBWqz+Hb1jueCP95aTH/aiPA9Mjp6VEnxB1bwy62/j3RHso87Rq2nhprR/dh96P6HNAHolFVdP1Kx1ayS8067gurZ/uywuHU/iKtUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVtQsbfVNOubC7jEltcxNFKh/iVhgirNFAHA/DG+uLO11HwdqUhe/wDD83kI7dZbZuYX/wC+ePbArvq868cD/hFvGeg+NY/ltWYaXqp7eTIfkc+yv1P0Fei0AFFFFABRRRQAUUUUAFZGua4dFazH2KS4+13CW0ex1B3tnA57cHmteuS1oy33j3RbKBEkFjBLfSK7lVJP7tOQDyCWNAGlf+IG0iFbnU7CWC0Lqjzq6use44BYZzjJAyAetbdcf4h36hqem6Tripb6bdTjYtuxk8+RPmCOxC7QcZwAc46jv2BOBk9KAPN/H00eu+MfD/hSSRVsYCdY1UscKsEX3A3+yWzn8DTfCkMvjzxW/je+jYaTZl7fQoJBjIzh7gj1YjA+nsDXAaXNcfEzxxrttYyOtnqVyPt90h/1enwnbHEp7NKwJI9ADyM19CWtrBZWkNraxLFbwoI440GAqgYAH4UAS0UUUAFFFFABXn3xN/03U/BejDn7VrkU7r/ejhBZh+or0GvPtY/4mPxy8OWvUaXpdzfEenmERf0oA9BooooAKKKKAGuiyRtG6hkYEMD0INcD8J3ax0XVPDMzEy6FqM1qm7qYS2+NvxDH8q9Arz5P+JD8cZF+7b+I9NDD/auLfj/0WaAPQaKKp6rqdto2k3ep3r7La1iaWRvYDPHvQBwvjQ/8Jd400jwTH81lDjU9Xx0MSH93Ef8AebqPTBr0boMCuF+GOmXR0m78Uaom3VfEE32yQHrHD0hj+gXn8fau6oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmuiSRtHIqujDDKwyCPQ06igDg9Q+GNpBevqfhLULjw3qTct9kGbeU+jwn5SPpj6Gqw8da/4UIh8daIRajj+2dLUy2+PWRPvJ/j0Fei0hAYEEAg8EGgCnpWsabrlit7pd9BeWzdJIXDDPofQ+x5q7XDar8MdNkvm1Tw5d3HhzVjyZ7DiOQ+kkX3WH5VS/wCEw8U+EP3fjPRftlgv/MZ0hS6AessXVfcjj0FAHo1FZ2i6/pPiKxF5pGoQXkB6tE2Sp9GHVT7HBrRoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDL8SaJB4k8N6ho1zgR3cLR7iM7W/hb8Dg/hWF8Mtbn1nwXbx32RqWmu2n3qk5IliO3n3I2n6k12Ned2A/4Rn4z39j92y8S2gu4R2FzFw4HuVO4/hQB6JRRRQAUUUUAFFFFACNkKdoBbHAJwM1zNjpuuW/iLVNWmttOka7SKOJBdv+6RAeM+VzkkmunooAwP7Eu9S1y01PVnhVbLcbW0tyWVXIwXZyBuOOgwMe9eb/ABk17VoNctdIguri2sGtBMwhdk85izKQSOoAA4/2sntXs9eQfGW3bxBqml+H4B+8gsb3U5XX7yBIiI8HrgvwfoKAOb+GfjTT/Auj6hbz6Bqs9rJch/t1ja+aqnaMo7EjpwQOfvGvRrL4z+A73ap1sW0h6x3MEiFfqdu39aqeB2mu/hdoj6O1vaz/AGRR80W5GkUFWLAEdWBJPXk0sayeK7e1gubawa5ttyakt5YrKI37KoJ78kHkYwe4zm52djJ1LOx2Vh4m0HVXVNP1vTrt26LBdI5/IHNated3vws8E6gxafw/aox725aEfkhArmvBPw6h1C01G+0rxF4g0m0F7JHZCzvSEeNeNzAg7snP5VXNrYrn1SPaaK8+/wCEU+IOn86d4+S7QdIdR01D+bqd1H9ofFXTv+PjQ/D2rqP+fK6eBj/384zVFnoNefeHP+Jh8ZvGF91WwtbSxjb/AHlMjD8CKP8AhY2tWP8AyGfh74gt8feaxCXij8VI4rkvh58S/Cljd+I7vV9RaxutU1eW4iWeB/8AU8BAWAIBHORmgD26isTT/GHhrVcCx1/TLhj/AAJdIW/75zmtsEEAg5B70AFFFFABXn3xWU6dp2i+KYwd+h6lFNKR18hzskH45X8q9BrL8SaQmv8AhrU9Jkxi7tniBP8ACxBwfwOD+FAGmrB1DKQVIyCO4rzvx6zeKfE2j+BICTbzEahqxU9LaNvlQ/774H4Cr/gHxLFN8K7HVdSk8r+z7Vorwv1Qw5ViffC5/GoPhjY3F3aah4x1KMpqHiCXz0RusVsvEKf988++RQB0Wo69/ZmsWGkx6dLNJeBxAY3UKAigtnJ4AFPuNYu7SW2E+kTiKaZITIkqMELHAJGc4ye1YbSXN78S7ua2t0uE0qxSDa0uwLJKd5IODztAFdDpTzajpEFxqEISWRvOEQbIQbsoMjrgbee9AGnRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBxWtfDPR76+OqaRLPoGsdReaa3l7j/tp91x69CfWs7/hJvGXg75PFWk/2zpq/8xbSU+dR6yw9vcrwPevRqKAMnQfE2i+J7L7Xo2owXkX8Qjb5k9mU8qfqK1q4/XvhvoesXn9p2nnaPrA5XUNNfypCf9oDhvfIyfWsn+2/HPgz5df04eJNKX/mI6ZHtuUHrJD0P/AeB60AejUVi+HfFuheKrUz6NqMNztHzxg7ZI/95DyPxFbVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXn/wAWIpLLRtM8U26FrjQL+O6bb1aFiEkX6EEZ+legVR1rTIta0O/0uf8A1V3bvAx9AykZ/DNAFuKWOeFJonDxyKGVh0IPINPri/hTqUuofDzTorni7sN1hOueVaJioB/4CFP412lABRRRQAUUUUAFFFFABXnfhqNNd+KnjLVZVD29nFDpEJPcAb5V/wC+sfnXoM0qQQyTSMFjjUsxPYAZNcJ8H4nfwL/a0ykT6xe3GoS565eQgfoooA5/4V3GpD4Zx2NhFbPeWF1cWp+0yMiqQ5bJ2qSfvjjj610r6LqVnqVlqGmLa+e0ezUVmnYCfuDwhywYthsDjjGOnOeCNTs9E13xzp19c29pHDrclynmuEG2XkAZ9lFbb+LLvXJGs/CNi97Jna1/MpS2h98nlj7D9awk49Wc83G+r1JfFWqXLxw+HtLwdZ1JdgCnIt4z9+QnsAM4/wDrV12j6Xb6Jo9rptqMQ20YRSep9SfcnJ/Gs3wz4Wi0BZrmedr3Vbrm6vZB8z/7Kj+FR6f/AFsdBVwi780ty6cXfmluFFFFaGpT1e+GmaLf37Y22tvJMc/7Kk/0rkvhVpUUPwp0OC6hSUTQtcOJFDBvMdnyc+zCpfizfHT/AIXa9IpO6WAW6gdT5jBMfkxrptGsRpehafp4GBa20cAx/sqF/pQBjah8OvBup5+1eGtNLHq0cAjY/iuDWKfg74ctyTpF5rejHqP7P1GRcf8AfW6vQaKAPMtV8LeL/DmkXuo6Z8Q7+SO0geYw6hZx3BcKpON55HTriqWnaz8W10i0vVh8OatHcRJMqnfFNhgCAeVQdfevSdetGv8Aw7qdmgy89pLEo92QgfzrnPBt2bzwPpUsJUutqsQz03INvP4rWbb5rGUpNTt5GN/wsfxbp7Iur/DjUcfxSafcrc5+iqP0zUsfxu8KJOYdUh1fSHHUX9iy4P0Tcavp4h1BZdRsrizt01KDabW3WUkXKt0YEjpnIPpg54rVnmWHQ7mfW1t0hSF3uQhLxhACW6gE8Z7UKdwjUvseA3PiZrmPVdMVWt/DWrawNQuYxkzrCWBdBjgZ2g47Yxk19MxSRmwU6cIJYwgEKq+2PA6DIBwMe1fNOjeFnuE8M6lqqtBoGu6k1pHFn96sZz5QZunz4IyAOBkdePYZfg34OEhlsLW80yY/8tLG9kjP6kj9K0NTb8M6TqemXWqTaglmz3921wZIZ2YqMAKmCg4AHXP4V0deff8ACu9fsf8AkDfETXocfdF+qXgH/fWKPsfxW07/AFOq+HNXQdftVvJA5+mzjNAHoNFeff8ACXePdP41L4fG4QdZtO1FHz9EI3Uf8Ld0q141nQfEekY+813pzbB9Cucj8KAPQaK5HT/ij4H1LH2fxNYKT0Fw5gP/AI+BXTWl/Z38fmWd3BcJ/ehkDj8xQBYooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5PxF8O9B8Q3Qv/Kl0/VlOU1HT38mdT6kjhvxBrF/tDx74M41O0HivSE/5erJBHeRr/tRdH/4Dz3Jr0aigDA8N+NNA8VxMdJ1COSZP9ZbP8k0Z77kPI+vT3rfrmPEngDQPE8q3V1bNbainMeoWb+TcIexDjr+OawPN8f+C/8AWovi/SF/jjAivo1916SfhyfagD0aiuc8N+OvD/irdFp96FvE/wBbZXC+VPGR1BQ88eoyPeujoAKKKKACiiigAooooAKKKKACiiigDz3wZ/xKPiR400I/LFPNFqtuP73mriQ/99ACvQq8+17/AIlXxo8L6iOE1SxuNNlP+5+9QH6mvQaACiiigAooooAKKKKAOW+JGo/2X8N/EF0G2t9ieNT6M42D9WFaPhPTv7J8IaNp+MG3soY2/wB4IMn881y/xh/0jwhZ6UeRqmq2lmR65k3Y/wDHK9AoA8wstD0q4+OPiSPUNPt7lriwtbyETRhgu392xAPHUCvTY40ijWONFRFGFVRgAewrgtT/ANB+Omg3HT+0dHuLP6+W4l/rXf0rLcVle4UUUUxhRRRQB598V/8AS7Xwzow5/tHXbZJF9Y1JZv5CvQa8+8S/8TD4x+DbDqllb3d9Iv1UIh/A16DQAUUUUAFeeaQx8L+JtT8PSRsYLhmvtNAwN6nl4lyQMg9AT7mvQ6w/FHhuLxHp6IJTbX1u/m2l0n3oZB3+h7ionFvVbozqRb1jujnNQs9V1KB9WSwmtdWspP8AQIDLGdycbgxDbcPkg5PGBjkc4Hjm9vfE82i+B4beayu9XkEt+pdGaG1TljlSRyQQORnaRjmt+w8XixkfTfFKppmpQIWZ3OIZ1H8aN07dP8ij8K7SXW73V/H19Gyy6tIYLBG6xWiHA/76I5/3c96iFnqmRTSbumavxK0JZvhjeW+mxiGTS4kurMIP9WYMMAP+AqR+NdToeqRa3oOn6rDjy7y3ScAdtyg4/DOKuyRpNE8UihkdSrKehB6iuC+Esj2egaj4bnYmbQdRmsxu6tFu3o30IY4+lbG539FFFABRRRQBmah4b0PVc/2jo2n3ZPUz2yOfzIrmbv4P+BrqTzU0UWk3aS0nkiK/QK2P0ruaKAPPv+FY3Vlzo3jnxNZ4+7HNci4jX6Kw/rR/YvxQ07/j08WaPqoHQajp5hz9TFXoNFAHn3/CQ/EvT/8Aj98F6fqSjq+naiI/xCyDJo/4Wn9j41nwb4n0/H3pPsXmxD/gan+leg0UAcTZfF3wLfPsGvwwSdCl1G8JU+5YAfrXT2GuaRqoB07VLK7B6fZ7hJP5E1Je6Xp2pJsv7C1ul6YnhVx+ormL/wCFHgXUSTL4btI29bbdBj/vgigDsqK8+/4VPaWnOjeKPEul4+7HDqBaP8VYHP50f8Iv8RNP/wCQf48gvUHSLUdNT9XQ5NAHoNFeff2n8VNO/wCPnw9oGrgf8+N40BP/AH84zR/wsnVbH/kM/D/xFbY+81nGt2i/UqRxQB6DRXB2/wAY/BUkohutSmsJ/wDnle2skZH1O3H610en+LfDmq4Fhr2m3LH+GK6Qt+Wc0AbNFHWigAooooAKKKKACiiigAooooAKKKKAOd8SeBvD/irbJqVkBdp/qr2A+XPGR0Icc8ehyPaub8jx/wCC+beVfF2kJ/yzmIivo19m6SfjyfavRqKAOX8OeP8AQPE0xtLe5e11JOJNPvU8m4Q9xtPX8M11FYPiPwZoHiuEJq+nxyyp/q7hfkmjPba45H06VzH9m+PPBnOlXg8VaSn/AC6XziO8jX0WXo//AAL6AUAei0Vyfh74iaDr91/Z7SS6bq6nD6dqCeTMD6AHhvwJrrKACiiigAooooAKKKKAPPviwPsmn+HtbHB0vW7aZ2/6ZsSrD8civQa434r2X274W+IIgOUtvOHt5bB//Za6TRb3+0tC0+/zn7TbRzZ9dyg/1oAvUUUUAFFFFABRRRQB5/8AEHNz4s8B6f8A39XNzj/rlGT/AFr0CvP/ABMPtHxk8DRdreC/nP4xha9AoA8/+IH+h+L/AAFqvTy9Vazz/wBd4yuP/Ha9ArgPjF+48FQ6p30vUrW8z6YkC5/8erv6ACiiigAooooA8+0r/iY/HTxBddRpek29l9DIxl/pXoNeffDT/TdY8bayeftOtyW6N/eSFQqn6cmvQaACiiigAoopskiRRtJIwRFBZmY4AA6k0Aed/FRU13+x/BdvHG99q9wC8hQM1tbp80kg9CQMD15Fd/ZWVvp1hb2NpGIra3jWKJB0VVGAPyFcF8PY38S65rHj25U7L1jZ6WrDlLSM43D03sCT9PevRKAsFeewf8SH44XMX3bfxHpqyj/auIOCP+/ZzXoVeffFUHTbTQvFSA7tE1KOSZh1+zyHy5B+OVoA9BopAQwBBBB5BFLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUARXFtb3cRiuYIpoz1WRAw/I1zeofDbwXqeftPhrTcnq0UIiJ/FMGupooA8+/wCFPaBbc6PqOu6Me32DUXUD/vrdR/whXjWw50r4i3TqOkWo2Mc+fq/WvQaKAPPvN+LGnfet/DOrxj/nm8sEp/P5aP8AhPfFNj/yGPhzqyAdW064ju8+4C4r0GigDz9fjJ4VicJqi6ppDnjbqFhIhz/wEGt6w8feEdUwLTxJpjseiNcqjH/gLEGuhZFdSrqGU8EEZBrB1DwP4V1TJvfDumSserm2QN/30Bn9aAN2ORJUDxuroejKcg06uAk+DfhBJDJp0N/pUp532F9Ihz+JI/Sm/wDCvvEdj/yB/iNrcWOg1CNLz/0LFAHoNFeffZvivp3+q1Dw1q6Dr9ohkgkP02fLR/wmPjqw41P4eSzIOsunahHLn6IeaAPQaK8+/wCFvaNa8azo3iHR8dWvdOcKPxXPFaun/E7wTqePs/ibTwT0E8nkn8nxQB1lFQWt5a3sfmWlzDcR/wB6KQOPzFT0AFFFFAGN4h8J6H4qtfs+s6dDdAD5JCMSR/7rjkfga5P+wvG/g35vD2pDxFpaf8w3VJNtwg9I5u/0bgV6LRQBx2hfEjRNXvRpl6J9G1gcNp+pJ5Tk/wCyTw4PbByfSuxrK13w1o3iayNprOnQXkX8PmL8ye6sOVPuCK4//hF/GHg/5/Cmr/2vpq/8wjV3yyj0im6j2DcD3oA9ForitG+JmkXl8ul6zDP4f1jobPURsDn/AGJPuuPToT6V2tABRRRQBl+JbX7d4V1ezIz59lNFj/eQj+tY3wwuvtnwx8Oy5ztski/74+T/ANlrrGUMpVhkEYIrgfgsxHwu02BjlreW4iJ+kz/40Ad/RRRQAUUUUAFFFFAHn+pfvPjtoif88tFnf85AK9Arz+4/5L9Zf9i4/wD6Pr0CgDlPibZfb/hn4igxnFk8oH+58/8A7LWt4Zvf7S8K6RfZybiyhlJ92QH+tW9StBqGlXlk2MXEDxHP+0pH9a5P4RXZvPhZoTtnfHE0DA9Rsdkx+SigDtqKKKACobu5Szsp7qX/AFcMbSN9AMn+VTVynxM1D+zPhp4huc4JsniB9DJ8g/VqAM/4O2zw/DLTZ5v9fePNdSH1LyMQfyxXd1keFtP/ALK8JaPp+MG2soYmHuEAP61r0AFFFFABXB/E6/ubmxsPCGmSFdR8QTfZyy9YrcczP/3zx+J9K7skKpZiAAMkntXnfgQHxV4p1jx1MCbZydO0gHtbofnkH+++fyIoA7zTrC20rTbbT7OMR21tEsUSDsqjAqzRRQAVk+J9HXxB4W1TSGA/0u2eJSezEfKfwOD+Fa1FAHJ/DTWG1z4eaPcyk/aI4fs04bqJIzsOfc7c/jXWV574G/4kvjnxj4aPyxG6XVbUeqTD58ewYAV6FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZWoeGNA1XP9oaJp10T1M1sjn8yM1q0UAcJdfB3wPPJ50OkNZT9pbO4kiI+gDY/Sof8AhWd9Zc6N488S2mOiXE4uY1+isBXoNFAHn39kfFLTv+PXxRomrAdBqFgYCf8Av1R/wkfxI0//AI/vA9lqCj70mnakqfkrjJr0GigDz7/hasdnxrPhHxNpuOsjWPmRD/gSnn8quWPxb8C37bU8Q28L9Ctyjw4PvvAFdrVK+0jTNTXbqGnWl2uOlxAsn8waAEsdZ0vVADp+pWd2D3t51k/kTV6vPG8AfDLxBNOlvpVgZoeZPsbtCYz7hCMVWsPh5pdzC0/hfxr4itY0bbi31DzYQfQqw5/OldMSknszvNZ0LSvENi1lq9hBeW5/gmTO0+oPUH3HNcV/whvifwj+88F619qsV5/sbVmLoB6RS/eT2B49TWNqcHxG0PxFp+j6d40g1BrqKSUfb9PRAgTHBZQSc1oDxD8VdPlAuvDOh6rGOpsLswE/9/D/AEpcyFzJuxq6X8TdOa9TS/EtnceHNWPAhv8AiKQ/9M5vusPyruAQyhlIIPII715PqPxCW/sZbPxf8NNb+yfxBLdbuMH13fKB9RXJWnjLQ/DzeZ4M8Xz6dGDzoOvW8zwfRHAJj/P6mncd0fQ1ef8Awg+XwpqEPaHV7tB/33n+tZei/HXw7dRPDrEb2F/GufLhYXMcx9I3TIyfRsY9ai+D3iewk/tPRpPNgvbrULi+t0kAw8bkHAIJG4AZI/LODhjPVLootpK0kjRIqEs6nBUAcmuY8Iw3+q+GbXUL7U77z7ndIuHUbULHYOmD8uPzqz47u5LXwffRw/8AHxdBbSIerSEJ/Ik/hWxbxW+kaTFCXWO2tIFTexwFVVxk/gKAMvQ9TuW1nVNEvZfPmsTG8dwVCmSNxkbgONwIIJAAPHFFVfCdrNdahq/iO4jeP+05EFtG4wRBGNqMR2LcnH0ooA6miiigDz+8/d/HvTG/56aBKn5TZr0CvP8AXMQ/G3wpIf8Al40+8iHvtAavQKACvP8A4T/6NpfiDSjx/Z2u3cCj/Y3Bgf8Ax416BXn/AIN/0P4m+PdO6K01reRj18yI7j+YoA9AooooAK8++L/+leGdM0Yc/wBraxa2ZX1Bfcfw+UV6DXn3jL/T/if4E0scpHLc30o9PLj+Q/8AfRNAHoNFFFABRRRQBw3xO1S6XR7Xw1pb7dW8QTfY4SOscX/LWT6Bf5+1dZpGl2uiaRaaXZJstrWJYox7AYyfc9TXDeDf+Ku8b6v41k+axt86ZpGehRT+8lH+83APpkV6NQAUUUUAFFFFAHnviv8A4kfxT8J68Plhv1k0e5b13fPEP++wfyr0KuL+K2mS6h8PdQmtuLzT9uoW7DqrxHcSP+Ahh+NdNo2pxazolhqkH+qu7dJ1HoGUHH60AXqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDkNQlk8PeMjcQpui1uDyguOPtcY+TPoGU4/4BXU2lslnaRW8fKxqBk9WPcn3J5/Gucu9dtNOjs7nxXd6dpsltmTa86gPIQVBQE7iApb3OenFZLfFay1BjH4X0PWPED5wJbe2MUAPvI+MflURXUzgrXZY8Q/ufiZ4dkbpPa3MS/VQGroJZY4InlmkSONBlndgAo9STXB6noXxF8Y3lhd3H9k+GVs5GeEoxu7hNwwc/wAB4rBi+HNpP46m0rxjqupa44tluLNridkjkHRxtByCD0APSp+Fu/VkfA3fq/0Op1f4reDtIZozqy3twMYhsVMxb2DD5c/U1iXnifxV4rjMOkfD5fsu4bbjX8KpU9/KOD+RNdzpfh7QvDkBOm6bZWKImGkjjVW2jn5n6n8TXGXWs6v8StQm0XwlM9noMLeXf62B/rPWOD1OOp/kMbqLPMX8H6xr/jRdN0x9Iu9QtmJvDptmtvZ2g9GlCgs3UYwSPc5A7n4R+E7u81tfEU7JFbafPNAsYbLSShSjewUbjznJIHFeueHPDWleFNHi0vSLYQ26cserSN3Zj3Y//WGAAK5X4M/vPh8lz/z83t1Ln1zKw/pVJWLSsdbqWgafq8sMl6k8jQOskYW5kRVdejAKwGR60p0LT2dWljmuApDKtxcSSqCOh2uxGffFaVFMYUUUUAFFFFAHn/jb/R/iT8Pr48Bbm7tyf+ukIA/lXoFef/FU/ZrfwtqYH/Hl4gtXc+iNuVv5ivQKACvNbjU9P0L46XEt7fW1ra3ugqXkmlVFEqTYAJJxnbXaeJrO1v8AwzqFte2dze2zQkvbWrFZZcc7VIIOSR6818+32j2tj4u8OPpfwwltoJmmgFnqtyMXjlPlzvLbdvJ569KAPozTNX03WrU3Ol39tewK5Qy20qyKGHUZB68j86uVzfgu31W10qWHUtB0rRVEmYbXTmBXbjktgAZz6V0lABXn1v8A8TH49XknWPStDSHHpJLJuz/3zXoNeffD/wD07xp491jqJNTSxB/64JtI/wDHqAPQaKKKACuK+Jms3Vn4fi0XS2/4nGuzCwtAOqBv9ZJ7BVzz2yDXUJrGmPq0mlLf2x1CNQ72vmjzApGQdvXGK4bwv/xWPxD1TxY/z6bpe7TNK9GYf66UfU/KD3H0oA7bQtGtfD2hWWkWS4t7SJYl45bHVj7k5J9zWhRRQAUUUUAFFFFADJoo7iCSGVQ8cilHU9CCMEVwfwklktvDV74duGLXGg6hNYkt1aPduRvoQ2B9K7+vPbX/AIkPxwvYPu23iLTkuF9DPAdpA/4AcmgD0KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorK1jxLonh+Pfq2rWdkMZCzTBWP0XqfwFAGrRXn5+KltqRKeFvD+s6+3RZobcw2+feR8Y/Kjyvifr3+suNH8MW7dol+2XC/UnCflQB30kiRRtJI6oijJZjgAfWuQ1T4peENLm+zDVkvrsnC22nobh2Pp8mQD9SKpR/CfSryRZvEuqav4hlBztvrphEp/2Y0wAPbmuv0vQ9J0SHydK020so8YIt4VTP1wOfxoA47/AIS7xtrfHh/wU9lC33brXZhDj6xLl/1o/wCEL8Xa1z4j8b3MMTdbTRIhbKPbzDliPrXoFFAHI6R8MfB+jy+fFosNxck5Nxek3EhPrl84P0xWhJq95aeK7PRpLW2SzuYZHgmDnJKYym3GM4OevQGt6uf8X2U9xpcF3Zbf7QsbmOe23HAZt20oT6MGK/iKmd7XRE7pXRfsLu/ub+9WaC3SzhkMcMiSFmkOASSMYGMkdTyDWD8QdODaMmuwXEVrf6OTcwzSsFUr/EjE9mHH1x61q6nrGmeDvDpvdWvFighX55D96WQ8naO7McnArjrLQtV+I17DrHiu3kstAiYSWGhscGX0kuPU+if/AF9w43jZg4c0bMxrOLW/jAY3mjuNG8GrguoOJtRYdQD2jB79/c/d9a07TrPSdPgsNPto7a0gXZHFGMBR/nv3qyiLGioihVUYCgYAHpS00rFJWKupXP2PS7u6JwIYXkz9FJ/pXJfCC2+y/CnQIyPvQvJ/33Izf1rS+Id59h+HPiKfOD/Z8yKfQspUfqRVrwdZ/wBn+CdCtCMNDp8CN9Qgz+uaYzbooooAKKKKACiiigDiPi9ZvefC/WvK4lt0S5Rh2MbqxP5A112nXiahplpepjZcQpKuPRlB/rUWtaeuraFqGmvjbd20kBz/ALSlf61zXwo1BtR+GOhu+RJBAbV1PVTExTB/BRQB2def/FT/AEaDwtqo4+w6/as59I2JVv5ivQK4b4w2zXHwt1lo+JYBHcIfQpIrE/kDQB3NFQWVyt7Y290n3J4lkX6MM/1qegBsjrFG0jkKigsxPYCuC+DaNJ4ATUpARJql7c3r565aQj+Sit7x5qH9l+AdfvAcNHYyhD/tFSF/Uil8C6f/AGX4C0GzIw0djDvH+0VBb9SaAOgooooA+f8A4rXt/aWkqeKvDGnnUpH26VrunTMm3Bz8y58z5Vye4z2712Pwzs9V0uCzstG1/SNe8IhWxKi+VcWzEFtuF4OWPO7B57VZ0L/is/ibqHiF/n0rQQ2nadnlXnP+ukH04XPcYrtdN0DSNHubu503Tra0lvCrXDQRhPMIzgkDjufzoA0aKKKACiiigAooooAK89+KY/suPw94sQYOi6lG0zelvL+7k/PK16FWP4r0ZfEPhPVdIIBN1bPGmez4+U/g2D+FAGwCCMjkUVyvw21ltd+HujXkhPnrAIJ93XzIzsbPuSufxrqqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACisnWfFGg+H0Lavq9nZnGQksoDn6L1P4CuVPxTi1MlPCnhzWdeJ+7OkBgtz9ZJMY/KgD0CmSyxwxNLLIscajLM5wAPc1wX2b4n67/rr3R/DNu38NvGbu4HsS2E/EU6L4TaPdSrP4j1HVvEM4O7/AE+7by1P+zGuAB7c0AW9T+KnhDTp/s0eqDUbw8LbabGbl2PoNmRn6mqX/CV+Odb40DwZ/Z8Lfdutdn8rH1hTL/rXZaZo2l6LB5Gl6da2UXdbeFUB+uBzV6gDz/8A4QjxVrXPiTxxeLE3W00aMWqD28zlmH1rU0f4aeENEk8630S3muc5Nxd5nkJ9cvnB+mK6yigBAAoAAAA4AFLRRQAUUUUAFFFFABXH+JdY0bwUj31w9xcXV7cb7bTYjve5n2hRsXGew9h6ZxT/ABd43j0CaHSdMtTqniK7GLXT4j0/25D/AAoPU9cfUiHwn4Ik0+/fxD4iuhqfiW4XD3BH7u2X/nnCv8KjOM9Tz6mk1cTSZS0DwhqOtavF4p8b7Jb9PmsdLU7oLAdj6NJ0y3Y/QY9AoopjCiiigDgPjE5k8BHTEOJNUvbayTHXLSA/yU13yIsaKigBVGAB2Fef+Of+Jl4/8CaKOQL2XUZB/d8lMqT9SSK9BoAKKKKACiiigAooooAK8++HH/Es17xn4cbj7Hqpu4l9IrhQ6gewwfzr0GvPb4jQ/jhptyflg1/TJLVvQzQneCffacUAehVjeL7L+0fBmuWWMmewnRfqUOP1rZpGUMpVhkEYIPegDmfhze/2h8OPD1xnJ+wRRk+pRdp/Va6euA+DbGL4fppzEl9Nvbm0bPXKysf/AGau/oA8/wDjI7S+AjpiEiTVL62slx1y0gb+Smu+RFjRUQAKoAAHYVwHj7/TvG/gLR+ofUpL5h6eRHuB/wDHq9BoAK5L4i+IZ9A8LOun5bV9QkWx09F6maTgEfQZP4D1rra850z/AIrP4qXerH59J8MhrO0/uyXbD964/wB0YX8iKAOt8KeHoPCvhew0a3IYW0QDv/z0c8u34sSa2aKKACiiigAooooAKKKKACiiigDz3wF/xJfGfjHww3yxreLqdqOxjnGWA9lYY/GvQq898T/8SP4seFdcHyw6lHLo9y3ufniH4tn8q9CoAKKKKACiiigAooooAKKKKACiiigAoorH1nxX4f8ADyk6vrFnZkDOyWUbz9F6n8BQBsUV5/8A8LR/tT5fCnhjWdcz9248r7NbH/tpJ/hR9j+J2u/8fGo6R4bt2/gtYjdzgehLfJ+IoA72aaK3iaWaRIo1GWd2CgD3JrjtS+KvhGwuPssGotqd4fu22mRNcu30K/L+tVofhNodxKtx4gvdU8Q3CnIOo3bMin/ZRcAD2Oa7DTdI03R4PI0zT7Wzi/uW8Sxg/kKAOM/4Sjx5rnGheDo9Nhb7t1rs+w/jCnzD86P+EF8Tazz4l8cXxjPW00hBaIPYvyzD616BRQByujfDfwhoTiW00O2e4zkz3IM8hPrufJB+mK6oAAYAwKKKACiiigAooooAKKKKACiiigAooooAK4XxN40vJdWbwt4PhjvdeI/fztzBp6n+OQ/3vRf/ANRpar4o1Txpqc/h3wTN5VtE3l6jr2MpB6pD/ff3HT9R13hnwvpfhLSV0/S4Sqk7pZXO6SZ+7u3cn/8AVQBS8I+C7PwrDNO00l9q92d17qU/Ms7f+yr6KP1rpqKKACiiigAooprusUbSOwVFBZmPQAd6AOA03/icfHHWbv70WiaXDZD0EkreYSPfAxXoNef/AAlRr3QdT8SSg+ZrupT3a5HIiDbEX8Np/OvQKACiiigAooooAKKKKACuB+LVvLD4ZtPENsha50G+hv1C9WQNtdfpg5P0rvqq6lYQarpd3p1yu6C6heGQf7LAg/zoAmt7iK7tormBw8MqCRGHRlIyD+VSVwvwnvp5PB39j3rZv9DuJNNn/wC2Z+Qj22lQPpXdUAef/Dn/AEPxF460rp5WtNdAegmQMP5V6BXn2i/6D8cPFFt0/tDTbW8x6+XmLP616DQB59N/xMfj1bJ1j0rQ2lz6SSybcf8AfNeg1594M/0/4meO9UPKJNbWMR9PLj+cfmRXoNAHL/EDxHJ4a8Jz3FopfU7pltLCIdXnk4XA745b8KteDfDkfhTwpY6QjB5Ik3Ty95JW5ds+5J/DFcvb/wDFafFiW5Pz6R4WBhi/uyXrj5j77F49j9a9GoAKKKKACiiigAooooAKKKKACiiigDifixp0t98Pr25teLzTGTUbdsfdaI7if++d1dVpGoxaxo1lqUH+qu4EnT6MoP8AWrE8Edzby28yB4pUKOp6FSMEVwXwpuzZeEL3Rb2T974evZ7KRm6mNWLK302nj6UAbuna1q2parqtnFBZLHYSrEZi7kSMV3EAY4xkCrem649zrd5o13AkN7bRrLmN96SRt0IJAIOeCD+ZrF8DJqT+HDfqluj6ncS3rGQsSC7ccAegHet7S9Ej0+8vL+WU3GoXhBmnK7RhRhVVedqj0yT6k0AatFFFABRWLrXi/wAO+HVJ1fWbO0YDPlvKPMP0QfMfwFcz/wALPk1X5fCnhXWdaz924aP7Lbt/20k/woA9AqOeeG2haa4ljiiUZZ5GCqPqTXB/YPibrv8Ax96tpXhy3b/lnZQm6nx6Fn+UH3FSQfCXQJpluNeutT8QXKnIfU7tnVT7IMAD2OaAJ9Q+K3hKzuDa2t9Jq15/DbaVC1y7fQr8v61U/wCEl8f65xonhGDSoW+7c65cYP8A35T5gfqa7XT9K0/SbcW+m2NtZw/887eJY1/ICrdAHn//AAgXiLWfm8T+N9RkjPW00pRaRj/ZLDLMPritjRvhz4R0FhJZaFamcHPnzr50mfXc+SD9K6iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKo6vrGn6Dpc+papdR21pCMvI5/QDuT2A5NAFq4uIbS3kuLiVIYIlLySSMFVVHUknoK8zmvtV+K072elST6b4ORilxfgFJtRxwUiz92PsW79PUUtvpuq/FO4jv8AW4p9O8Iowe10wnbLfY5Ek2Oidwv/ANYn0uGGK2gjggiSKGNQqRooVVA6AAdBQBX0rSbDQ9Mg07TbWO2tIF2xxRjAH+J9SeTVyiigAooooAKKKKACuN+KWrSaV8PtSFvk3l6osbZV6s8p2ce+Cx/CuyrzzxGf+Ei+LHhzQl+a20iNtXux23/chH1ByfoaAOy0DSY9B8PadpMWClnbpDkfxFVAJ/E5P41o0UUAFFFFABRRRQAUUUUAFFFFAHnR/wCKW+NAP3bDxTa49hdwj9MofxJr0WuN+J2i3Gq+D5LvTxjVNJlXUbJgOfMj5I98ruGPXFb/AIe1q38ReHrDWLU/uruFZQM52k9VPuDkfhQByOr/AOg/HPw7c9P7R0q5s8+vlsJcfrXoNeffET/Q/FXgPVenl6x9jz/13Qr/AOy11PivUP7K8Iazfg4NvZTSL9QhI/XFAHLfB/8A0rwtqOsnn+19XurwN6gvtH/oFbvjvxIfCvhK71CJfMvXxBZxAZMk78IAO/POPQGofhrp/wDZnw28PW2MH7EkpHoXG8/q1Yb/APFafFlY/v6R4VG9v7sl844+uxfyP1oA6TwP4bHhTwnZ6a7b7vBmu5c5Mk78uxPfnjPoBXRUUUAFFFFABRRRQAUUUUAFFFFABRRWHrfjLw34dDf2trVlauOsTSgyfggyx/KgDcryHXXh0X4oa9pkur2ulWXiXS45XuJ1yqSJmIj7yhSVycmt7/hZlxq3y+FPCWsauD925lQWlufcSP8A4V5B42svENjrV7qniexNtJdOJTLFmSEKcBUDgYyowuOvHuKAPozT1h0XQbaK6vLYW9tEqCcDyo9gAAPLHt71zd/8WPCdrcG1sbufWLztbaVA1wzfQj5f1rE8IfCfSZdDsLvxTaXF9qAUsLe7uXeK3XJ2IqZwMLtBBzg5r0iw02w0u3Fvp9lb2kI6R28Sxr+QFAHE/wDCRfELXONG8KWukQN0udauMtj/AK5R/MD9TR/wr/XtY+bxP431O4Q9bXTFWzix/dJXJYfXFegUUAczovw88JeH2D6foVoswOfPlXzZM+u98kfhXTUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFcv4v8a2vhdIbSGB9Q1u8+Wy02DmSU+p/uoO7H0NAF3xR4q0vwjpRvtSlOWOyCCMbpZ37Ii9z/LvXK6P4V1TxdqkHiTxxEESI79O0POYrYdnl/vyfXp+gueF/BV1/ao8UeLp0v8AxC4/dIvMFgv9yIevq3X9Se5oAKKKKACiiigAooooAKKKKAGSypBC8srhI0UszMcAAckmuA+F0cmrLrfjO5VhLrt4TbhhytrFlIx7dD9eKn+KeoXB0G18Nae+NS8Qzixix/BEeZXPsF4P+9XY6bp9vpOl2unWibLe1iWGNfRVGB/KgC1RRRQAUUUUAFFFFABRRRQAUUUUAFec+Cj/AMIn421rwVKdtnMTqmk56eU5/eRj/dboPTJr0auF+Juk3R0yz8UaUm7VvD8v2uJR1lh/5axn2K/yx3oAh+MgMPgRdTA50zULW8BHbEgX/wBmqT4xXLx/DLULeA/vr54bWL3LyLn9M1L4yubXxZ8HNWvrFvMt7nTGuovX5RvwfcFcY9RXPa/e/wBv6X8LrPO46heW184/vLFFvYH/AL6oA7PxVrkPgjwRPeRrve2hWC0ixkySkBY1x35x+ANN8A+G38MeE7a0uW36jOTdX0pOTJO/LknvjgZ9qwL/AP4rT4rW2nD59I8MBbq5/uyXjD92v/ABlvrkGvRqACiiigAooooAKKwdb8a+GfDgYatrdnbOvWIybpP++Fy36Vzv/Cyr3Vvl8K+D9X1QH7tzcKLS3PuHfr+VAHoFQ3N3bWUDT3dxFBCv3pJXCqPqTxXC/wBlfErXf+P/AF7TPD9u3/LHTbczy49C78A+61LbfCXw2Z1utZa/167XnztVumlx9F4XHtg0APvviz4VguDa6dcXOtXg6W+k27XDH6EfL+tV/wC3viJrnGk+F7LRYG6XGs3O9yPXyo+QfY129lp9lpluLews7e1gHSOCMIo/ADFWaAPP/wDhXutax83ijxtql2h62ungWcOP7p25LD64rc0TwB4U8PFX03QrOOVeRNInmSZ/33y3610lFABWL4u0UeIvCGraQQC11bOkeez4yh/BgDW1RQBy/wAOdaOv/D7Rr5yTN9nEM2evmR/I2fqVJ/Guorz34f8A/Em8W+MfC7fLHDejUbUdvKnGSB7KRj8a9CoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivPdd8Xal4h1abwv4HZGuoztv9XYbobEdwvZ5Pbt+eAC74r8bTWeor4b8M2y6l4lmXPl5/dWi/wDPSZuw56dTx6jNnwh4Jh8OvNqd/ctqfiC85u9RmHzH/YQfwoPQeg9ABd8KeEdN8I6c1tYq8txM3mXV5Md01zJ3Z279Tx2z9a36ACiiigAooooAKKKKACiiigAoorjviRr9zpHhxbHS/m1rV5RY2CA8h34L+wUZOexxQBleGP8Air/iTq3ipvm07SQdL0w9mfrNIPx+UHuD7V6NWT4Y0C28L+GrDRbTmK1iCFsY3t1Zj7liT+Na1ABRRRQAUUUUAFFFFABRRRQAUUUUAFBAIIIyD1FFFAHluh2w8LeJdY+H9wduk6vFLdaMzfdUMD5sA+hOQPTnvXnuheLIrCDwpqNyN7+HtBvJliPeZ5mt0T6nC/hXrvxV02G58GTaoLn7JqGkut5Y3IHKTAgBfoxIXHTJHpXz/wCFDYWvje11TxROltpEUzXLJGrSBXDM8aEAZ27m9DnA9aAPoz4eeHZvDvhWJb8l9Vvna91CRurTyckH6cD8K6uvP/8AhY+o6v8AL4V8G6vqKn7tzdgWcB9wz8n8hR/Y3xI13nUvEWnaDbt1g0q3M0hHoZJOh91oA7m7vLWwt2uLy5ht4V+9JM4RR9SeK428+LPheO4a10uS71y8H/LDSbZpyf8AgQwv60lp8JfDK3C3WrC9127H/LfVrppj/wB88Lj8K7KzsbTTrdbeytYLaBekcEYRR+A4oA4f+3PiNrnGl+GrDQ4G6T6vcGSQj1EcfQ+xo/4V1qur/N4p8aatfKfvWtjizgPsQvLD8RXoFFAHO6J4D8K+HSraXodnDKvSZk8yT/vtst+tdFRRQAUUUUAFFFFABRRRQAUUUUAee+JP+JF8XPC+tD5YNUhl0i5btu+/F+JbI/CvQq4j4s6fNd+ALu8tR/pmlSR6lbt/daJtxP8A3zurrNL1CHVtJs9RtzmG7gSdP91lBH86ALdFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNkkSKNpJHVI0BZmY4CgdSTUGo6jZ6Tp81/qFzHbWsC7pJZDgKK83WLVfizMJLhbjTPBKtlIeUn1THQt3WL27/AKqASXmtar8S7yXSfDE8th4bjYx32tKMPcesdv8A1f8Ay3d6FoOm+G9Jh0zSbVLe1iHCr1Y92Y9ST6mrlnZ22n2cVpZwRwW0KhI4o12qoHYCpqACiiigAooooAKKKKACiiigAooooAQkKpZiAAMkntXnHhIHxt43vfGsoLaXY77DRVI4YDiWcf7xyoPpkdqs/EXVLvUZ7LwNospTUtYBNzMv/LraD/WOfc8qPXnviu00vTLTRtKtdNsYhFa2saxRoOwA7+p9TQBbooooAKKKKACiiigAooooAKKKKACiiigAqrf3LwQqkIBuJm8uEHpuPc+wAJP0qySFBJIAHJJrGgjuNUuP7Ut70RQMhS3AjDgx55fP+0QD9AvvQBzOh6OPEvgXWtBvrmUsNQuIWnPLB1kDhj6/Ng4715b4m8CeI/BEmn6w97YraQ3sebxFaQQMGBjeRCOE3AA4zj36H2PwSrW2p+KLKSTe6amZmbGM+YinOPwrp7+wtdU0+4sL2FZrW4jMcsbdGUjBFAHE6H8SAl/FovjCzGiatIP3MpbNpdj+9FJ059Ce4GSeK76vKdDs7a0u5vhh4wgS+s9pk0W4uBn7RAP4N3aROnGDjpgAZs/2Z4t+HPz6K03iTw2nXT5mzd2q/wDTJv4wP7p+gHU0Aem0Vh+GfF+i+LrI3Gk3YkZOJrdxtlhb0dDyP5ehNblABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEVzbxXdrNbTqHhmRo3U91IwR+VcN8I7iWPwjPoVyxa60K+m0+QnqQrZU/TDAD6V31ee6d/xIfjbq1l9231/T472P086I7GA9yvzGgD0KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKyfEXiTS/CukSanq1yIYE4UDl5G7Ko7sfT+lUvF3jLT/CVnGZkkutQuTss9PgG6a4fsAOw9T29zgVieHfBuoajq8firxq0dzqy82dghzBp6+ijoz+revToDQBT07w7qvxA1CHXPGNu1rpETeZp+gsePaS4/vN/s9vzB9JVQqhVAAAwAO1LRQAUUUUAFFFFABRRRQAUUUUAFFFFABWT4l8Q2XhXw/d6xftiG3XIQfekY8Ki+5PFarMFUsxAUDJJ6CvMtOz8TvGK6xIC3hTRJiLBCPlvbkcGb3Veg9/xFAGx8PfD99bRXnibXl/4n+skSzKf+XaL/lnCPTAxn369M121FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEN1aW19A0F3bxXELfejlQOp+oPFFtZ21nbC2tbeGCBc4iiQKoz14HFTUUAUrXRtLsZzPaabZ28x6yQwKjH8QKu0UUAc3408JxeLdFFusxtdRtnE9heJ963mHIIPp2I/qBVbwN4tl1+2uNN1aIWniLTG8m/tfU9pF9UbqP/wBRPW1xHjfwre3N1b+KfDRWHxJp6/IDwt5F/FC/rnsex9OoAJ/E3w9sNcvRq+nXEuja/H/q9Rs+Gb2kXo4+vPbOOKybPx7qfhi7i0r4g2aWu9tkGtWwJtJz23f882+vHXoK6jwl4qsvF2irf2oaKZGMV1aycSW8o+8jD2/Wte8s7XULSW0vLeK4tpV2yRSoGVh6EGgCSKWOeJJYZFkjcBldDkMD0II6in15rL4Q8QeBpXvPAtx9r00kvLoF5ISnv5Eh5Q+x4+vArovC3jzSPFLyWkfm2OrQcXGm3i+XPER14P3h7j8cUAdRRRRQAUUUUAFFFFABRRRQAUUUUAFee/E//iU3XhjxYvA0nUljuG9Leb5JD/6D+dehVh+MtEHiPwbq+k7dz3Ns6xg/89AMof8AvoCgDcormfh5rZ8Q+ANG1F23TNbiOYnr5ifI2fxUn8a6agAooooAKKKKACiiigAooooAKKKKACiiigArj/F3jcaLdRaJotr/AGp4luh+4skPEY/56Sn+FB19/bqKXiTxnf32ryeFfBccd1rI4urxuYNPX1c9C/ovr16YrZ8I+DLDwnaymOSS81K6O+91CfmW4f1J7D0H8zzQBS8JeCDpF5JruuXX9qeJbkfvrxx8sI/55xD+FR09T7dK7GiigAooooAKKKKACiiigAooooAKKKKACiiuI8beKr2G8g8KeGAs3iS/XIc8pZRd5n9Mdh3PrwCAZ/i3Ubvxnrz+BNCnaO3QBtcv4z/qYj/yxU/326H0H4473TtOtNJ0630+xgWC1t0EcUa9FUf561meEvC1l4R0OPTrQtLIWMlzcyffuJT952Pqf0FbtABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5/4r8N6lo2st408JRbtQVQNS04cLqEQ9B/z0A6Hv+h6nw14l03xXokOqaZKWif5XRuHicdUYdiP/AK/StevPfEfhnU/Duty+L/B0Qe4fnU9JBwl8o6svpKOee/1JDAHoVc34p8D6P4sSOW7jkt9Qg5t9QtW8ueEjphh1HseKt+GfE+meLNITUdMmLJnbLE4xJC46o69iP/1Vs0AeaJ4o8S+AXW28Zwtqeig7Y9es4jujHbz4xyP94fqa9CsNQs9VsYr2wuorm1lGUlicMrD6irDosiMjqGRhhlYZBHoa89v/AIf32g30useAL1NNuHO+fS5smzuf+A/8s29x+nNAHodFcZ4c+Idpqeof2JrVpJofiBeGsbo8S+8T9HB9ufr1rs6ACiiigAooooAKKKKACiiigDzz4ef8SbxP4w8LN8qW1+L+1X/plON2B7KRj8a9DrzzxD/xIvjD4a1gfLBq9tLpVwe24fvIvxJ4/CvQ6ACiiigAooooAKKKKACiiigAooqG6u7extJbq7njgt4VLySyMFVVHUkmgCUkKCSQAOSTXm2peJNV8eajPoPgyc22mRN5eoa8BlV9Y4P7zf7Xbt2NQSXGq/FmZoLN7jTPBSsVluQCk+p46qndY/U9/wAwPR9N02y0fToNP062jtrSBdscUYwFH+Pv3oApeG/DWl+FNIj03SbcRQr8zueXlbuzt3J//VxWvRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXIeMfGh0WaHRdFtxqPiW9GLazU8Rj/AJ6Sn+FB19/zIADxp4xk0NrfR9Gtxf8AiTUPls7QdEHeWT0Qc/XH1In8F+D4/C9nPPdTm+1u+bzdQv3HzSv6D0QdAKj8GeC18OC41HUbk6j4hv8A5r2/ccn/AGE/uoOMD2HsB1lABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHBeJfB2oWWsP4r8GPHb6zj/S7JziDUVHZh0D+jfn61teEfGen+LbWXykktNRtjsvNPuBtmt37gjuPQ9/Y8V0dch4t8Dprd1FrWkXZ0rxJbD9xfxDhx/clH8aHpz0/QgHX0VxHhnx3JPqY8OeKrQaT4iUfKhP7m8H9+Fu+f7vX64OO3oAxvEfhXRvFmn/AGPWLJJ0HMcnSSJvVGHKn/JrzzWdc8V/CWxzeTp4j0OQmGzmnkCXcMhBKI//AD0XjqOevTgV65XMa/4ZW/1+z8RSGW9k0m3kay03IVHuCMh8n+LgAZ4HBoA4fwJ4tuXTQdH0vUI9d1PVJH1PWbqR2ZLOIn5kA42nOFC9MjOMMK9fryPRfhbrFvYHxDDrEmkeMruV7m4MWGtvnOfJeMcFR6jPJPXAre0n4iSWOox6H43sV0TVW+WK4zm0u/eOT+E/7Le3OeKAO+ooByMiigAooooAKKKKAOG+LdjNceArjULUf6ZpE0WpW59GibJP/fJauv02/h1TS7TULc5huoUmjP8AssAR+hqDXJYo9JuUns57qCSF1lSLb9zad2dxA6Zri/gtq4vfh3FaSyZk0qaS0dm4OwHch+m1gPwpXV7C5lex6LRWNJrcsWmjVWsx/ZuwTGQS/vFixneUxjGOSN2cds8VZu9UEOpQabbxCa8mjabaX2qkakAsxwe5AAwc/gTS5kLmRoUVQ0/U1vZ7u1ePybu0cJNHu3D5hlWU9wR7DoRjir9NO4009gooopjCiisHxV4t0zwjpour92eWVtltawjdLcP2VF79uegzQBe1vXNN8OaTNqeq3SW1pCMs7dz2AHUk9gK4G00jVfiddxap4kgl0/wvGwkstHY7XusdJJ8du4X/APW1rRPCWp+JdWh8T+OEUzRnfp+jA7obIdmf+/J79vyC+iUAMiijhiSKJFjjRQqogwFA6ADsKfRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRTZJEhieWV1SNAWZ2OAoHUk9hXm974o1nx7dy6R4JkNrpSMY7zxAy/L7pbj+Jv9rt7cGgDQ8T+Nro6ofC/hCFL/AMQuP3sh5gsF/vyn19F/+sDp+D/Bdr4Wgmnkme/1m8O++1GbmSZvQf3VHZRV3wx4V0rwlpQsNLgKqTulmc7pJ37s7dz/AJFbVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY3iXwtpHizTDY6taiVAd0UqnbJC395G6g/5Oa4xNc8R/Ddxb+JjNrXhsHEWsxIWnth2E6jkj/bH6k4HplIyq6MjqGVhggjIIoAr6fqNnqtjFe6fdRXNrKNySxMGVh9RVmvPL/wBfaBfS6x4AvI9OuJDvuNKnybO5/4D/wAs29x+nNXtA+Itnf6gNF160l0HXhx9jvCAsvvFJ0cfr6ZoA7WqWraPp2u6dJYapZw3drJ96OVcj6j0PuORV2igDzQ6N4r+HZ8zw68viDw6vLaTcPm5tl/6Yv8AxAf3T9Byc11vhjxjovi61aXS7nM0XE9rKNk0DejoeRzxnp71vVyXif4f6b4gul1S1ml0nXYv9Tqdn8sg9nHR19j24zQB1tFec23jnV/CdzHpvxAtFiiZtkGu2ik20vp5g6xt+nXoBmvQoZ4rmBJ4JUlhkUMkiMGVgehBHUUASUUUUAUtY/5Al/8A9e0n/oJryjwDND4b8VSW10yx2GteH7bUQW+6HiTZIPxXLGvV9Vtbq9sJba1uYYDKjIzyQmTgjHADLzXl/jjQpPDumeFNQvbmK6tNKuF0+d44DEfsk6eVIW+ds8bfTqahp81zNp890uhoPaa54f0pWMc9/wCE2+d7JmBureDGdpOPmTHVc5wMZxmt+ymW4+J1zKr7430WFoj6qZWORWt/Z+qSWB0+a9gaEp5TXAjIlZMY6ZwGx/F0zzt7Us2iiLUrTUbApHNb25tTG+dskRIIXPUEEAg89+OeIUGtjNU2ttjCXUINM+IOvXFy7JbCxtfMKoz/ADbnA4UE963bfU7LxFbTxafe3MbR43SJE0bLnOMb1weh7GpNM0r7HeX1/M6yXl66mVlGFVVGEQewGee5JPHQW71LuS2ZLK4ignPSSWIyAf8AAQy/zqoppFxjJL7zktMm1S8nPhy71W4i1KwlMtxdxlM3EB+5tBBAzuAPHy7fcZ7ONPLiRN7PtUDcx5PufeucufDF3La6W0OpxRapYyGRr42pYzZHzgrvGA3cZPTjGBjJ8SeNb2K/Twv4Zih1PxPIv711Urb2S95JeTj2XJP6AkE1uOmmtzQ8X+N7fw2YNPs7Z9S1+84s9OhPzMf7zn+FB3J9D6Ein4V8EXFvqR8TeKblNR8SSrgMB+5sl/55wjt15bqefUk3fCHgm28Mie9ubh9R128+a81Kf78h/ur/AHUHYD0HoMdVWhoFFFFABRRRQAUUUUAFFFFABRRRQAUUVHPPDbQPPcSpFDGCzySMFVR6knoKAJKw/E/i7RvCNiLnVboIznENvGN0szf3UXqT09ueSK5a78fan4muZNN+H9it5tbZNrN0CtpAe+3vI3046HkVq+Gfh9ZaLfHWdTuZda8QSf6zUbsZK+0a9EX6c++OKAMOPQPEXxGlS68VrLpHh3IaHRInIluB1BuGHQf7I/QjJ9GtLO20+0itLOCO3t4lCxxRKFVR6ACpqKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArK1/wANaP4osDZazYQ3cPVd4wyH1Vhyp9wa1aKAPN/7H8a+Bfm0G6PiXRU/5h19JtuoV9I5ejD2P0Ard8N/EPQfEdwbFZZbDVkOJNNv08mdT6BT978M11dYfiPwfoPiu3EWsadFcMo/dzD5ZY/91xyPp0oA3KK86Gg+O/CHOgasniLTV6afqz7bhR6JOOp/3uBVvTvipozXa6f4gguvDmpH/lhqabEb3WX7pHucUAdrc2tve20ltdQRzwSrtkilUMrD0IPBrzybwZrngud77wFciSyLF5tAvJCYW9fJc8xt7Hj8sV6LFLHNEssTrJG4yrqcgj1Bp9AHK+F/HuleJpnsGWXTtZh4n0y8GyZD3wD94e47dcV1Vc74o8FaN4thT7fC0d5Dzb31u3lzwHsVcfyORXLjxF4n+HxEPiyJ9Z0JeE1u0j/ewjt58Y/9CH6k0Aeg3+oWml2Ul5fXEdvbxjLySHAH/wBf2rzXxXqmrfEDwxqOl6JooGm3ERxe35KeYR8y+Wg56gYJ4qfR9vxDul8R6g6S6RHIRp1iGDLwcGSQDq3seldwAAMAYFZXlLXZGHNKeq0R514Oj8QeK/CWm6rN4xvUE0WDHBAibGUlSCep5B5Nbv8AYviuz+ex8YSy4/5ZXtqkit9WHI/Csr4ff8SnXvFfhhuFtL/7XbL6QzjcAPYEfrXe0OC/psHTV+v3s5qPxrqeiSLF4s0oQQE7RqNjmSD/AIEv3l/zxXa29xDd28dxbypLDIu5JEbKsPUEVk3T28dpM920S2yoTK0pAQLjndnjGPWvJdCstS8Z6pqOm+FLy90zwLJJi5uehlbnclvnlVbv+vZS48ydt0OPOnbdHX6z4s1TxVqs3hnwPIoMR2ajrZG6K0HdY/78n06fmR1PhbwnpfhHS/senRsXc77i5lO6W4fuzt3PX2FXdG0XTvD2lQ6ZpVqltaQjCog/Mk9ST3J5NX60NgooooAKKKKACiiigAooooAKKKp6lq2naNaNdanfW9nbjrJPIEH056n2oAuUjMqIXdgqqMkk4AFeeyfEu41yRrfwP4fu9abO030wNvaIfXe3LY9AB7Ug+Hur+JXWbx3r8l7Fnd/ZOnEwWi+zH70n1ODQBPqfxOtJb19K8JWE3iTVF4YWpxbwn1kmPygfTP1FV4fAGqeJ50vfH+qfbFBDx6PZFo7SI9t38UhHv+orutN0qw0aySy02zgtLZPuxQoFX68d/erdAENra29jax21pBFBbxLtSKJAqqPQAcCpqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqrqOmWGr2jWmo2dvd27dYp4w6n8DVqigDz6T4WQ6ZK1x4P13UfD0xO7yYn862Y+8T9fzpP7a+I3h0Y1Xw/Z+ILZf8Al50mXy5sepifqfZa9CooA4ew+LPhS5uBa391Po173ttWga3ZfqT8v612EFzaaja+ZbzQXVvICN0bh0YfUcGm3+m2GqW/2fULK2u4f+edxEsi/kRXHXXwi8KtO1zpiX2iXLf8ttLu3hP5cqPyoAz9X+GdzpF/LrfgC9XSb5jum05+bO69iv8AAevTj029adoHxDgutRGheI7N9C19cA21yf3cx6ZifowPYflnrVgeE/Hmkj/iUeOxeRjpBq9msn5yL81Y3iTT/Gut6YbDxN4F0XX4lztm07UPIeM/3kMgyD9OvelYlosa3/xJPi5oGqD5YNXtZNNnPbevzxk+5PH4V2Wq6rY6Jps2oalcx21rCu55HPA9h6k9gOTXzvqt54psDb6Fqh1C3t7G4jvrBtQRWuYSpYKFkGQ6j1I7DgDitbSPEei674lS4+JOvtJb2Ko9jZPbkQyud2XkCLgkYHBABz6ZFKwWZ2Vnpmr/ABbuUvNUSfTPBaMHgs87ZtRweGcjonf+X94etWlpb2FpFaWkEcFvCoSOKNQqqo6AAVzNv8TPA86qIvE2mKOgDzCPH/fWK0I/GfhaUAx+JdHcH+7fRH/2amkNKxuUVk/8JR4f/wCg7pn/AIFx/wCNDeKvDqjLa9pYHqbyP/GmM1qKwJvHPhKAfvfE+jL7G+iz+W6s24+KvgW1/wBZ4msj/wBcyZP/AEEGgDsaK8/Pxk8Jy8ad/ampnsLPT5Wz/wB9AUf8LD169/5A/wAO9emz0N+Uswf++iaAPQKK8/Nz8VNUP7rT/D2iRHr9ome5lX6bPlNNPw/8R6oQfEHxA1aVD96HTI0s1+mVySPrQB2Wqa7pOiReZqmp2dkmMg3Eypn6ZPNchL8WdKvJGg8M6XqviKcHGbK2YRKf9qRsAD35q7pfwr8G6XN540aK7uSctPfMbhifX5yRn6CuviijhiWKJFjjUYVVGAB7CgDz8xfE3xJ/rZtN8KWbdVi/0u6x6Z+4PqOat6b8KvDtvdi/1YXWv6j1Nzq0pm/JD8oH4HFdxRQA1EWNFRFCoowqqMACnUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHNeKPDXh7xZDFHqciiWAnypoZgkiZxkehBwOCDU/hzw7oXh/Tn07S0jdJDvlLuJHlOMZY/06D0rmdFvtAi1fxRrF/LYRg3f2eKNym4rEuMqvU7jnp1Irr4dFtY9Zt9Uis4LeVbZ4n2KAx3FCM4HONp/OgAn8M6BdZ+0aHps2evmWkbZ/MVRk+H/g6X73hbRv8AgNlGv8hXR0UAcqfhp4JJz/wi+mfhAKVfht4KXp4X0v8AG3U11NFAHPx+BPCEONnhbRQR3+wRE/ntrRt9D0i0INtpdlCR0Mdui/yFX6KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKzdd1i20PSbm9uZ4ozHE7Rq7AF2AyFHqTWlRQBxPhe40Oz8CWFnf6rYjzIhLcB7lAdzneQefU4ro9H1JdYjlv7dy1i7bLc7cbwuQX9cE5A9lB71p0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9k=) +![md5:1459827f090f482be9f6eaef8839de05](1459827f090f482be9f6eaef8839de05.jpeg) Since opposite angles in a cyclic quadrilateral (ABDE) are supplementary, we get \(\angle ABD + \angle DEA = 180^{\circ}\) . Therefore \(\angle DEA = 180^{\circ} - x\) . Now consider triangles \(AED\) and \(AFD\) . We have diff --git a/NewZealand_MO/md/en-nzmo2_2025_solutions.md b/NewZealand_MO/md/en-nzmo2_2025_solutions.md index f1e287679cb807ed71dd3b79e368151e9a280ca9..dd834f3c65a82dda46c51976ccbbffa1e0832557 100644 --- a/NewZealand_MO/md/en-nzmo2_2025_solutions.md +++ b/NewZealand_MO/md/en-nzmo2_2025_solutions.md @@ -47,7 +47,7 @@ Solution: (Nico McKinlay & George Zhu) Let \(\alpha = \angle B A C\) . Let \(B B^{\prime}\) and \(C C^{\prime}\) be altitudes in triangle \(A B C\) , as shown. -![](data:image/jpeg;base64,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) +![md5:c3afdd6d86e8384ba3086d6451f310e6](c3afdd6d86e8384ba3086d6451f310e6.jpeg) Claim. Triangle \(C D E\) is isosceles with \(C E = D E\) . diff --git a/NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl index 1ff1a347a374707924fe66323c64cf93f77c0ef8..5847ce4e99ec548dd7b718b2bc27e56f08df2a17 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl @@ -1,8 +1,8 @@ {"year": "2019", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "How many positive integers less than 2019 are divisible by either 18 or 21, but not both?", "solution": ": For any positive integer \\(n\\) , the number of multiples of \\(n\\) less than or equal to 2019 is given by \n\n\\[\\left\\lfloor \\frac{2019}{n}\\right\\rfloor .\\] \n\nSo there are \\(\\left\\lfloor \\frac{2019}{18}\\right\\rfloor = 112\\) multiples of 18, and \\(\\left\\lfloor \\frac{2019}{21}\\right\\rfloor = 96\\) multiples of 21. Moreover, since \\(lcm(18,21) = 126\\) there are \\(\\left\\lfloor \\frac{2019}{126}\\right\\rfloor = 16\\) positive integers less than 2019 which are a multiple of both 18 and 21. Therefore the final answer is \n\n\\[\\left\\lfloor \\frac{2019}{18}\\right\\rfloor +\\left\\lfloor \\frac{2019}{21}\\right\\rfloor -2\\left\\lfloor \\frac{2019}{126}\\right\\rfloor = 112 + 96 - 2\\times 16 = 176.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n1.", "solution_match": "\nSolution"}} {"year": "2019", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all real solutions to the equation \n\n\\[(x^{2} + 3x + 1)^{x^{2} - x - 6} = 1.\\]", "solution": ": Let \\(a = x^{2} + 3x + 1\\) and let \\(b = x^{2} - x - 6\\) . The only way to have \\(a^{b} = 1\\) , is if \\(a = \\pm 1\\) or \\(b = 0\\) . \n\n- If \\(b = 0\\) , then we solve the quadratic \\(x^{2} - x - 6 = 0\\) which has solutions \\(x = -2,3\\) (we would also have to check that \\(a \\neq 0\\) in this case) \n\n- If \\(a = 1\\) , then we solve the quadratic \\(x^{2} + 3x + 1 = 1\\) which has solutions \\(x = 0, -3\\) . \n\n- If \\(a = -1\\) , then we solve the quadratic \\(x^{2} + 3x + 1 = -1\\) which has solutions \\(x = -1, -2\\) . (we also have to check that \\(b\\) is an even integer in this case) \n\nTherefore there are a total of 5 candidate solutions: \\(x = - 3, - 2, - 1,0,3\\) . \n\nRemark: In order to receive full marks, a student would have to demonstrate that \\(x = - 3, - 2, - 1,0,3\\) are actually all solutions, by substituting each of these values into the expression, and verify that the result is indeed 1.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n2.", "solution_match": "\nSolution"}} -{"year": "2019", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "In triangle \\(ABC\\) , points \\(D\\) and \\(E\\) lie on the interior of segments \\(AB\\) and \\(AC\\) , respectively, such that \\(AD = 1\\) , \\(DB = 2\\) , \\(BC = 4\\) , \\(CE = 2\\) and \\(EA = 3\\) . Let \\(DE\\) intersect \\(BC\\) at \\(F\\) . Determine the length of \\(CF\\) .", "solution": ": First notice that the sidelengths of \\(\\triangle ABC\\) are 3, 4 and 5. By Pythagoras this implies that triangle \\(ABC\\) is right- angled at \\(B\\) . Now we can put the diagram on coordinate axes such that \\(B = (0,0)\\) and \\(A = (0,3)\\) and \\(C = (4,0)\\) . Furthermore we get \\(D = (0,2)\\) and since \\(E\\) divides \\(CA\\) into the ratio \\(2:3\\) we get \\(E = (2.4,1.2)\\) , as shown in the diagram.\n\n\n![](data:image/jpeg;base64,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)\n \n\nNow we can calculate the slope of the line \\(D E\\) to be \\(\\frac{- 0.8}{2.4} = - \\frac{1}{3}\\) . This means that the equation of line \\(D E\\) is given by \\(y = - \\frac{x}{3} +2\\) . Therefore the \\(x\\) - intercept of this line is the solution to \\(0 = - \\frac{x}{3} +2\\) . The solution is when \\(x = 6\\) , and thus \\(F = (6,0)\\) . Hence \\(C F = 2\\) . \\(\\square\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n3.", "solution_match": "\nSolution"}} +{"year": "2019", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "In triangle \\(ABC\\) , points \\(D\\) and \\(E\\) lie on the interior of segments \\(AB\\) and \\(AC\\) , respectively, such that \\(AD = 1\\) , \\(DB = 2\\) , \\(BC = 4\\) , \\(CE = 2\\) and \\(EA = 3\\) . Let \\(DE\\) intersect \\(BC\\) at \\(F\\) . Determine the length of \\(CF\\) .", "solution": ": First notice that the sidelengths of \\(\\triangle ABC\\) are 3, 4 and 5. By Pythagoras this implies that triangle \\(ABC\\) is right- angled at \\(B\\) . Now we can put the diagram on coordinate axes such that \\(B = (0,0)\\) and \\(A = (0,3)\\) and \\(C = (4,0)\\) . Furthermore we get \\(D = (0,2)\\) and since \\(E\\) divides \\(CA\\) into the ratio \\(2:3\\) we get \\(E = (2.4,1.2)\\) , as shown in the diagram.\n\n\n![md5:938072234333898a25a67f943dd7a9a6](938072234333898a25a67f943dd7a9a6.jpeg)\n \n\nNow we can calculate the slope of the line \\(D E\\) to be \\(\\frac{- 0.8}{2.4} = - \\frac{1}{3}\\) . This means that the equation of line \\(D E\\) is given by \\(y = - \\frac{x}{3} +2\\) . Therefore the \\(x\\) - intercept of this line is the solution to \\(0 = - \\frac{x}{3} +2\\) . The solution is when \\(x = 6\\) , and thus \\(F = (6,0)\\) . Hence \\(C F = 2\\) . \\(\\square\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n3.", "solution_match": "\nSolution"}} {"year": "2019", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Show that the number \\(122^{n} - 102^{n} - 21^{n}\\) is always one less than a multiple of 2020, for any positive integer \\(n\\) .", "solution": ": Let \\(f(n) = 122^{n} - 102^{n} - 21^{n}\\) . We consider \\(f(n)\\) in mod 101 and in mod 20 separately. \n\nConsider \\(f(n)\\) mod 101. \n\n\\[f(n) = 122^{n} - 102^{n} - 21^{n\\] \\[\\equiv 21^{n} - 1^{n} - 21^{n} \\pmod {101\\] \\[= -1\\] \n\nConsider \\(f(n)\\) mod 20. \n\n\\[f(n) = 122^{n} - 102^{n} - 21^{n\\] \\[\\equiv 2^{n} - 2^{n} - 1^{n} \\pmod {20\\] \\[= -1\\] \n\nTherefore \\(f(n) \\equiv - 1\\) both in mod 20 and in mod 101. Since 20 and 101 are relatively prime, this means \\(f(n) \\equiv - 1\\) (mod 2020). As required. \\(\\square\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n4.", "solution_match": "\nSolution"}} {"year": "2019", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all positive integers \\(n\\) such that \\(n^{4} - n^{3} + 3n^{2} + 5\\) is a perfect square.", "solution": ": Let \\(f(n) = 4n^{4} - 4n^{3} + 12n^{2} + 20 = 4(n^{4} - n^{3} + 3n^{2} + 5)\\) and note that \\((n^{4} - n^{3} + 3n^{2} + 5)\\) is a perfect square if and only if \\(f(n)\\) is. First note that: \n\n\\[(2n^{2} - n + 5)^{2} - f(n) = 9n^{2} - 10n + 5 = 4n^{2} + 5(n - 1)^{2} > 0.\\] \n\nAlso note that \n\n\\[f(n) - (2n^{2} - n + 2)^{2} = 3n^{2} + 4n + 16 = 2n^{2} + (n + 2)^{2} + 12 > 0.\\] \n\nTherefore \\((2n^{2} - n + 2)^{2}< f(n)< (2n^{2} - n + 5)^{2}\\) , so the only way \\(f(n)\\) could be a perfect square is if it is \\((2n^{2} - n + 3)^{2}\\) or \\((2n^{2} - n + 4)^{2}\\) . Solving \\(f(n) = (2n^{2} - n + 3)^{2}\\) gives us the quadratic \\(n^{2} - 6n - 11 = 0\\) which has no integer solutions. Solving \\(f(n) = (2n^{2} - n + 4)^{2}\\) gives us \\(5n^{2} - 8n - 4 = (5n + 2)(n - 2) = 0\\) . which has only one integer solution \\(n = 2\\) . Checking \n\n\\[(2)^{4} - (2)^{3} + 3(2)^{2} + 5 = 25\\] \n\nwhich is a perfect square. Therefore the only solution is \\(n = 2\\) . \\(\\square\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n5.", "solution_match": "\nSolution"}} -{"year": "2019", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(V\\) be the set of vertices of a regular 21-gon. Given a non-empty subset \\(U\\) of \\(V\\) , let \\(m(U)\\) be the number of distinct lengths that occur between two distinct vertices in \\(U\\) . What is the maximum value of \\(\\frac{m(U)}{|U|}\\) as \\(U\\) varies over all non-empty subsets of \\(V\\) ?", "solution": ": To simplify notation, we will let \\(m\\) be \\(m(U)\\) and let \\(n\\) be \\(|U|\\) . First note that there are 10 different diagonal-lengths in a regular 21- gon. Now consider the following set of 5 vertices. \n\n![](data:image/jpeg;base64,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)\n \n\nNote that each of the 10 different diagonal- lengths appear (exactly once each). So for this set of 5 vertices we have \\(\\frac{m}{n} = \\frac{10}{5} = 2\\) . We will now show that this is the maximum possible value for \\(\\frac{m}{n}\\) . If \\(U\\) is an arbitrary non- empty set of vertices, then there are two cases: \n\n- Case 1: \\(n < 5\\) . The total number of pairs of vertices in \\(U\\) is given by \\(\\frac{1}{2} n(n - 1)\\) . Since \\(n - 1 < 4\\) this gives us the bound: \n\n\\[m \\leq \\frac{n(n - 1)}{2} < \\frac{n \\times 4}{2} = 2n.\\] \n\nThus \\(\\frac{m}{n} < 2\\) in this case. \n\n- Case 1: \\(n \\geq 5\\) . The total number of distances in \\(U\\) is at most 10 because there are only 10 different diagonal lengths in the 21-gon. Therefore \n\n\\[\\frac{m}{n} \\leq \\frac{10}{n} \\leq \\frac{10}{5} = 2\\] \n\nas required. \n\nRemark: The construction given is unique up to rotations and reflections. I.e. all sets that achieve the value \\(\\frac{m}{n} = 2\\) are congruent to the example given here. \\(\\square\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n6.", "solution_match": "\nSolution"}} -{"year": "2019", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCDEF\\) be a convex hexagon containing a point \\(P\\) in its interior such that \\(PABC\\) and \\(PDEF\\) are congruent rectangles with \\(PA = BC = PD = EF\\) (and \\(AB = PC = DE = PF\\) ). Let \\(\\ell\\) be the line through the midpoint of \\(AF\\) and the circumcentre of \\(PCD\\) . Prove that \\(\\ell\\) passes through \\(P\\) .", "solution": ": Let \\(M\\) be the midpoint of \\(AF\\) and let \\(O\\) be the circumcentre of triangle \\(CPD\\) . Now construct \\(Q\\) to be the point such that \\(CPDQ\\) is a parallelogram, and let \\(R\\) be the centre of this parallelogram (i.e. \\(R\\) is the intersection of \\(PQ\\) with \\(CD\\) , and also \\(R\\) is the midpoint of \\(PQ\\) ).\n\n\n![](data:image/jpeg;base64,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)\n \n\nNote that \\(Q D = C P = F P\\) and \\(D P = P A\\) and \\(\\angle Q D P = 180^{\\circ} - \\angle D P C = \\angle F P A\\) Therefore (by SAS) we have a pair of congruent triangles: \n\n\\[\\triangle Q D P\\cong \\triangle F P A.\\] \n\nTherefore \\(\\angle M A P = \\angle R P D\\) and \\(A F = P Q\\) . Thus \\(A M = \\frac{1}{2} A F = \\frac{1}{2} P Q = P R\\) . Therefore (by SAS) we have another pair of congruent triangles: \n\n\\[\\triangle M A P\\cong \\triangle R P D.\\] \n\nTherefore \\(\\angle A P M = \\angle R D P\\) . Let \\(x = \\angle A P M\\) so that \\(\\angle C D P = \\angle R D P = x\\) also. \n\n![](data:image/jpeg;base64,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)\n \n\nSince the angle subtended at the circumcentre is double the angle subtended at the circumference, we get \\(\\angle C O P = 2x\\) (recall that \\(O\\) is the circumcentre of \\(\\triangle P C D\\) ). Finally we get \\(\\angle O P C = 90^{\\circ} - x\\) because \\(\\triangle C O P\\) is isosceles. Putting this all together, we get \n\n\\[\\angle O P M = \\angle O P C + \\angle C P A + \\angle A P M = (90^{\\circ} - x) + 90^{\\circ} + x = 180^{\\circ}.\\] \n\nTherefore \\(\\angle O P M\\) is a straight line.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n7.", "solution_match": "\nSolution"}} +{"year": "2019", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(V\\) be the set of vertices of a regular 21-gon. Given a non-empty subset \\(U\\) of \\(V\\) , let \\(m(U)\\) be the number of distinct lengths that occur between two distinct vertices in \\(U\\) . What is the maximum value of \\(\\frac{m(U)}{|U|}\\) as \\(U\\) varies over all non-empty subsets of \\(V\\) ?", "solution": ": To simplify notation, we will let \\(m\\) be \\(m(U)\\) and let \\(n\\) be \\(|U|\\) . First note that there are 10 different diagonal-lengths in a regular 21- gon. Now consider the following set of 5 vertices. \n\n![md5:cdf1ef8261596f1ada833898c5a5bf7b](cdf1ef8261596f1ada833898c5a5bf7b.jpeg)\n \n\nNote that each of the 10 different diagonal- lengths appear (exactly once each). So for this set of 5 vertices we have \\(\\frac{m}{n} = \\frac{10}{5} = 2\\) . We will now show that this is the maximum possible value for \\(\\frac{m}{n}\\) . If \\(U\\) is an arbitrary non- empty set of vertices, then there are two cases: \n\n- Case 1: \\(n < 5\\) . The total number of pairs of vertices in \\(U\\) is given by \\(\\frac{1}{2} n(n - 1)\\) . Since \\(n - 1 < 4\\) this gives us the bound: \n\n\\[m \\leq \\frac{n(n - 1)}{2} < \\frac{n \\times 4}{2} = 2n.\\] \n\nThus \\(\\frac{m}{n} < 2\\) in this case. \n\n- Case 1: \\(n \\geq 5\\) . The total number of distances in \\(U\\) is at most 10 because there are only 10 different diagonal lengths in the 21-gon. Therefore \n\n\\[\\frac{m}{n} \\leq \\frac{10}{n} \\leq \\frac{10}{5} = 2\\] \n\nas required. \n\nRemark: The construction given is unique up to rotations and reflections. I.e. all sets that achieve the value \\(\\frac{m}{n} = 2\\) are congruent to the example given here. \\(\\square\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n6.", "solution_match": "\nSolution"}} +{"year": "2019", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCDEF\\) be a convex hexagon containing a point \\(P\\) in its interior such that \\(PABC\\) and \\(PDEF\\) are congruent rectangles with \\(PA = BC = PD = EF\\) (and \\(AB = PC = DE = PF\\) ). Let \\(\\ell\\) be the line through the midpoint of \\(AF\\) and the circumcentre of \\(PCD\\) . Prove that \\(\\ell\\) passes through \\(P\\) .", "solution": ": Let \\(M\\) be the midpoint of \\(AF\\) and let \\(O\\) be the circumcentre of triangle \\(CPD\\) . Now construct \\(Q\\) to be the point such that \\(CPDQ\\) is a parallelogram, and let \\(R\\) be the centre of this parallelogram (i.e. \\(R\\) is the intersection of \\(PQ\\) with \\(CD\\) , and also \\(R\\) is the midpoint of \\(PQ\\) ).\n\n\n![md5:7f7e1f9db688bdbb4b80cb850a19bf58](7f7e1f9db688bdbb4b80cb850a19bf58.jpeg)\n \n\nNote that \\(Q D = C P = F P\\) and \\(D P = P A\\) and \\(\\angle Q D P = 180^{\\circ} - \\angle D P C = \\angle F P A\\) Therefore (by SAS) we have a pair of congruent triangles: \n\n\\[\\triangle Q D P\\cong \\triangle F P A.\\] \n\nTherefore \\(\\angle M A P = \\angle R P D\\) and \\(A F = P Q\\) . Thus \\(A M = \\frac{1}{2} A F = \\frac{1}{2} P Q = P R\\) . Therefore (by SAS) we have another pair of congruent triangles: \n\n\\[\\triangle M A P\\cong \\triangle R P D.\\] \n\nTherefore \\(\\angle A P M = \\angle R D P\\) . Let \\(x = \\angle A P M\\) so that \\(\\angle C D P = \\angle R D P = x\\) also. \n\n![md5:459d4f57d9a2fcdc07adf11012a15437](459d4f57d9a2fcdc07adf11012a15437.jpeg)\n \n\nSince the angle subtended at the circumcentre is double the angle subtended at the circumference, we get \\(\\angle C O P = 2x\\) (recall that \\(O\\) is the circumcentre of \\(\\triangle P C D\\) ). Finally we get \\(\\angle O P C = 90^{\\circ} - x\\) because \\(\\triangle C O P\\) is isosceles. Putting this all together, we get \n\n\\[\\angle O P M = \\angle O P C + \\angle C P A + \\angle A P M = (90^{\\circ} - x) + 90^{\\circ} + x = 180^{\\circ}.\\] \n\nTherefore \\(\\angle O P M\\) is a straight line.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n7.", "solution_match": "\nSolution"}} {"year": "2019", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "Suppose that \\(x_{1},x_{2},x_{3},\\ldots x_{n}\\) are real numbers between 0 and 1 with sum \\(s\\) . Prove that \n\n\\[\\sum_{i = 1}^{n}{\\frac{x_{i}}{s + 1 - x_{i}}} + \\prod_{i = 1}^{n}(1 - x_{i})\\leq 1.\\]", "solution": ": Let \\(i\\) be arbitrary and consider the set \\(A = \\{a_{1},a_{2},\\ldots ,a_{n}\\}\\) defined by \\(a_{i} = s + 1 - x_{i}\\) and let \\(a_{j} = 1 - x_{j}\\) for all \\(j\\neq i\\) . For example, if \\(i = 2\\) then \\(A\\) would be \\(\\{1 - x_{1},s + 1 - x_{2},1 - x_{3},\\ldots ,1 - x_{n}\\}\\) . The AM- GM inequality on \\(A\\) tells us \n\n\\[1 = \\frac{(s + 1 - x_{i}) + \\sum_{j\\neq i}(1 - x_{j})}{n}\\geq \\left((1 + s - x_{i})\\prod_{j\\neq i}(1 - x_{j})\\right)^{\\frac{1}{n}}\\] \n\nWhich rearranges to give us \n\n\\[1 - (s + 1 - x_{i})\\prod_{j\\neq i}(1 - x_{j})\\geq 0.\\] \n\nFrom here we can multiply both sides by \\((1 - x_{i})\\) , then add \\(s\\) to both sides and factorise the LHS to get: \n\n\\[(s + 1 - x_{i})\\left(1 - \\prod_{j = 1}^{n}(1 - x_{j})\\right)\\geq s.\\] \n\nNow multipy both sides by \\(\\frac{x_{i}}{s(s + 1 - x_{i})}\\) to get the following equation. \n\n\\[\\left(1 - \\prod_{j = 1}^{n}(1 - x_{j})\\right)\\frac{x_{i}}{s}\\geq \\frac{x_{i}}{s + 1 - x_{i}} \\quad (1)\\] \n\nNote that this equation holds for all \\(i\\) . Now consider the sum of Equation 1 over all \\(1\\leq i\\leq n\\) . Since \\((1 - \\prod (1 - x_{j}))\\) is constant and \\(\\sum \\frac{x_{i}}{s} = 1\\) , the sum of all the LHS equals \\(\\left(1 - \\prod (1 - x_{j})\\right)\\) . So we get \n\n\\[1 - \\prod_{j = 1}^{n}(1 - x_{j})\\geq \\sum_{i = 1}^{n}\\frac{x_{i}}{s + 1 - x_{i}}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2019_solutions.jsonl", "problem_match": "\n8.", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl index 1fb7ad3210190a93ef011b2ca41ed2dfd98da398..747b349f692a4e853d8818cba440943b7dfbe2f3 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl @@ -1,14 +1,14 @@ {"year": "2020", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "What is the maximum integer \\(n\\) such that \\(\\frac{50!}{2^n}\\) is an integer?", "solution": ": \\(50! = 1 \\times 2 \\times 3 \\times \\dots \\times 50\\) . Of the numbers up to 50, we need to find how many of them are divisible by \\(2^k\\) for each \\(k = 1, 2, 3, 4, 5, 6\\) . There are \\(\\left\\lfloor \\frac{50}{2^k} \\right\\rfloor\\) numbers which are divisible by \\(2^k\\) and there are \\(\\left\\lfloor \\frac{50}{2^{k+1}} \\right\\rfloor\\) which are divisible by \\(2^{k+1}\\) . Therefore there are \n\n\\[\\left\\lfloor \\frac{50}{2^k}\\right\\rfloor -\\left\\lfloor \\frac{50}{2^{k + 1}}\\right\\rfloor\\] \n\nnumbers between 1 and 50 which are divisible by 2 exactly \\(k\\) times. Hence the answer we are looking for is: \n\n\\[\\begin{aligned} & \\left(\\left\\lfloor \\frac{50}{2}\\right\\rfloor -\\left\\lfloor \\frac{50}{4}\\right\\rfloor\\right) + 2\\left(\\left\\lfloor \\frac{50}{4}\\right\\rfloor -\\left\\lfloor \\frac{50}{8}\\right\\rfloor\\right) + 3\\left(\\left\\lfloor \\frac{50}{8}\\right\\rfloor -\\left\\lfloor \\frac{50}{16}\\right\\rfloor\\right) + 4\\left(\\left\\lfloor \\frac{50}{16}\\right\\rfloor -\\left\\lfloor \\frac{50}{32}\\right\\rfloor\\right) + 5\\left(\\left\\lfloor \\frac{50}{32}\\right\\rfloor -\\left\\lfloor \\frac{50}{64}\\right\\rfloor\\right) \\\\ & = 13 + 2 \\times 6 + 3 \\times 3 + 4 \\times 2 + 5 \\times 1 \\\\ & = 47. \\end{aligned}\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} -{"year": "2020", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a square and let \\(X\\) be any point on side \\(BC\\) between \\(B\\) and \\(C\\) . Let \\(Y\\) be the point on line \\(CD\\) such that \\(BX = YD\\) and \\(D\\) is between \\(C\\) and \\(Y\\) . Prove that the midpoint of \\(XY\\) lies on diagonal \\(BD\\) .", "solution": ": \n\n![](data:image/jpeg;base64,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)\n \n\nConstruct point \\(E\\) on diagonal \\(BD\\) so that \\(EX\\) is parallel to \\(CD\\) . So \\(\\angle BXE = \\angle BCD = 90^\\circ\\) . Also \\(\\angle XBE = 45^\\circ\\) because \\(E\\) is on diagonal \\(BD\\) . Therefore triangle \\(\\triangle BEX\\) is an isosceles right- angled triangle. Hence \n\n\\[EX = BX = YD.\\] \n\nSince segments \\(EX\\) and \\(YD\\) are parallel and equal in length, this implies that \\(EXDY\\) is a parallelogram. Since the diagonals of a parallelogram bisect each other, we deduce that the intersection of \\(XY\\) and \\(DE\\) is the midpoint of \\(XY\\) . Therefore the midpoint of \\(XY\\) lies on line \\(DE\\) (which is a segment of diagonal \\(BD\\) ).", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} +{"year": "2020", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a square and let \\(X\\) be any point on side \\(BC\\) between \\(B\\) and \\(C\\) . Let \\(Y\\) be the point on line \\(CD\\) such that \\(BX = YD\\) and \\(D\\) is between \\(C\\) and \\(Y\\) . Prove that the midpoint of \\(XY\\) lies on diagonal \\(BD\\) .", "solution": ": \n\n![md5:e9c36b7d060c32514dda36efed47190e](e9c36b7d060c32514dda36efed47190e.jpeg)\n \n\nConstruct point \\(E\\) on diagonal \\(BD\\) so that \\(EX\\) is parallel to \\(CD\\) . So \\(\\angle BXE = \\angle BCD = 90^\\circ\\) . Also \\(\\angle XBE = 45^\\circ\\) because \\(E\\) is on diagonal \\(BD\\) . Therefore triangle \\(\\triangle BEX\\) is an isosceles right- angled triangle. Hence \n\n\\[EX = BX = YD.\\] \n\nSince segments \\(EX\\) and \\(YD\\) are parallel and equal in length, this implies that \\(EXDY\\) is a parallelogram. Since the diagonals of a parallelogram bisect each other, we deduce that the intersection of \\(XY\\) and \\(DE\\) is the midpoint of \\(XY\\) . Therefore the midpoint of \\(XY\\) lies on line \\(DE\\) (which is a segment of diagonal \\(BD\\) ).", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a square and let \\(X\\) be any point on side \\(BC\\) between \\(B\\) and \\(C\\) . Let \\(Y\\) be the point on line \\(CD\\) such that \\(BX = YD\\) and \\(D\\) is between \\(C\\) and \\(Y\\) . Prove that the midpoint of \\(XY\\) lies on diagonal \\(BD\\) .", "solution": "Let \\(A B C D\\) be the unit square, with \\(A = (0,1)\\) , \\(B = (1,1)\\) , \\(C = (1,0)\\) and \\(D = (0,0)\\) . Now let \\(a = B X = D Y\\) . This means that \\(X = (1,1 - a)\\) and \\(Y = (- a,0)\\) . Now let \\(Z\\) be the midpoint of \\(X Y\\) . We compute the co- ordinates of \\(Z\\) to be \n\n\\[Z = \\left(\\frac{1 + (-a)}{2}, \\frac{(1 - a) + 0}{2}\\right).\\] \n\nThe \\(x\\) and \\(y\\) coordinates of \\(Z\\) are equal, therefore \\(Z\\) lies on diagonal \\(B D\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nAlternative Solution A:"}} {"year": "2020", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a square and let \\(X\\) be any point on side \\(BC\\) between \\(B\\) and \\(C\\) . Let \\(Y\\) be the point on line \\(CD\\) such that \\(BX = YD\\) and \\(D\\) is between \\(C\\) and \\(Y\\) . Prove that the midpoint of \\(XY\\) lies on diagonal \\(BD\\) .", "solution": "Let \\(s\\) be the side- length of the square and let \\(a = B X = D Y\\) . Let \\(Z\\) be the midpoint of \\(X Y\\) . Now we apply the converse of Menelaus' Theorem to traversal \\(B Z D\\) of \\(\\triangle X Y C\\) . \n\n\\[\\frac{X Z}{Z Y} \\times \\frac{Y D}{D C} \\times \\frac{C B}{B X} = 1 \\times \\frac{a}{s} \\times \\frac{s}{a} = 1.\\] \n\nTherefore \\(Z\\) , \\(D\\) and \\(B\\) are colinear.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nAlternative Solution B:"}} -{"year": "2020", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "You have an unlimited supply of square tiles with side length 1 and equilateral triangle tiles with side length 1. For which \\(n\\) can you use these tiles to create a convex \\(n\\) -sided polygon? The tiles must fit together without gaps and may not overlap.", "solution": ": All the angles in squares and equilateral triangles are multiples of \\(30^{\\circ}\\) . So all the external angles of the \\(n\\) - sided polygon are multiples of \\(30^{\\circ}\\) . Since the polygon is convex, this implies that all external angles are greater than or equal to \\(30^{\\circ}\\) . However, the sum of the external angles is \\(360^{\\circ}\\) , therefore \n\n\\[n \\times 30^{\\circ} \\leq 360^{\\circ}.\\] \n\nHence \\(n \\leq 12\\) . Also all polygons have at least 3 sides so \\(3 \\leq n \\leq 12\\) . Finally we demonstrate that it is possible for any \\(3 \\leq n \\leq 12\\) using the following illustrations. \n\n![](data:image/jpeg;base64,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)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} +{"year": "2020", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "You have an unlimited supply of square tiles with side length 1 and equilateral triangle tiles with side length 1. For which \\(n\\) can you use these tiles to create a convex \\(n\\) -sided polygon? The tiles must fit together without gaps and may not overlap.", "solution": ": All the angles in squares and equilateral triangles are multiples of \\(30^{\\circ}\\) . So all the external angles of the \\(n\\) - sided polygon are multiples of \\(30^{\\circ}\\) . Since the polygon is convex, this implies that all external angles are greater than or equal to \\(30^{\\circ}\\) . However, the sum of the external angles is \\(360^{\\circ}\\) , therefore \n\n\\[n \\times 30^{\\circ} \\leq 360^{\\circ}.\\] \n\nHence \\(n \\leq 12\\) . Also all polygons have at least 3 sides so \\(3 \\leq n \\leq 12\\) . Finally we demonstrate that it is possible for any \\(3 \\leq n \\leq 12\\) using the following illustrations. \n\n![md5:c7ee6000d060a21c441f3bd38deb267d](c7ee6000d060a21c441f3bd38deb267d.jpeg)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Determine all prime numbers \\(p\\) such that \\(p^{2} - 6\\) and \\(p^{2} + 6\\) are both prime numbers.", "solution": ": If \\(p > 5\\) then the units digit of \\(p\\) must be 1, 3, 7 or 9. \n\n- If the units digit of \\(p\\) is 1 or 9 then the units digit of \\(p^{2}\\) is 1. Therefore the units digit of \\(p^{2} - 6\\) is 5. Since \\(p^{2} - 6 > 5\\) this means that \\(p^{2} - 6\\) is not prime. \n\n- If the units digit of \\(p\\) is 3 or 7 then the units digit of \\(p^{2}\\) is 9. Therefore the units digit of \\(p^{2} + 6\\) is 5. Since \\(p^{2} + 6 > 5\\) this means that \\(p^{2} + 6\\) is not prime. \n\nTherefore we must have \\(p \\leq 5\\) . Hence \\(p\\) must be 2, 3 or 5. \n\n- If \\(p = 2\\) then \\(p^{2} + 6 = 10\\) is not prime. \n\n- If \\(p = 3\\) then \\(p^{2} + 6 = 15\\) is not prime. \n\n- If \\(p = 5\\) then \\(p^{2} \\pm 6\\) are 19 and 31 which are both prime. \n\nTherefore the only answer is \\(p = 5\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Determine all prime numbers \\(p\\) such that \\(p^{2} - 6\\) and \\(p^{2} + 6\\) are both prime numbers.", "solution": "Consider the following product modulo 5. \n\n\\[p(p^{2} - 6)(p^{2} + 6) = p^{5} - 36p \\equiv p^{5} - p \\pmod {5}\\] \n\nBy Fermat's Little Theorem, this product is 0 (mod 5). So if \\(p\\) , \\(p^{2} - 6\\) and \\(p^{2} + 6\\) are all prime numbers then at least one of them must be equal to 5. \n\n- If \\(p = 5\\) then \\(6p^{2} - 1 = 29\\) and \\(6p^{2} + 1 = 31\\) . This is one solution. \n\n- If \\(6p^{2} - 1 = 5\\) then \\(p = \\pm 1\\) . Neither 1 nor \\(-1\\) is prime, so this case leads to no solutions. \n\n- If \\(6p^{2} + 1 = 5\\) then \\(p\\) is not an integer. No solutions in this case. \n\nTherefore the only solution is \\(p = 5\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nAlternative Solution:"}} {"year": "2020", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all functions \\(f: \\mathbb{R} \\to \\mathbb{R}\\) that satisfy \n\n\\[f(x + f(y)) = 2x + 2f(y + 1)\\] \n\nfor all real numbers \\(x\\) and \\(y\\) .", "solution": ": Substitute \\(x = - f(y)\\) into the given equation to get \n\n\\[f(0) = -2f(y) + 2f(y + 1) \\quad (1)\\] \n\nWe can then substitute \\(y = - 1\\) into (1) to get \\(f(0) = - 2f(- 1) + 2f(0)\\) . Hence \n\n\\[f(-1) = \\frac{f(0)}{2}. \\quad (2)\\] \n\nAlso we can substitute \\(y = - 2\\) into (1) to get \\(f(0) = - 2f(- 2) + 2f(- 1)\\) . Hence \n\n\\[f(-1) = f(-2) + \\frac{f(0)}{2}. \\quad (3)\\] \n\nEquations (2) and (3) tell us that \\(f(- 2) = 0\\) . Now substitute \\(y = - 2\\) into the original equation to get \n\n\\[f(x + f(-2)) = 2x + 2f(-1)\\quad \\Longrightarrow \\quad f(x) = 2x + 2f(-1).\\]\n\n\n\nTherefore our function can be written in the form \\(f(x) = 2x + c\\) , where \\(c = 2f(- 1)\\) is a constant. We can substitute this into the original equation to get \n\n\\[f(x + f(y)) = 2x + 2f(y + 1)\\] \\[f(x + (2y + c)) = 2x + 2(2(y + 1) + c)\\] \\[2(x + (2y + c)) + c = 2x + 4y + 4 + 2c\\] \\[2x + 4y + 3c = 2x + 4y + 2c + 4\\] \\[c = 4.\\] \n\nTherefore the function \\(f\\) works if and only if \\(c = 4\\) . Hence \\(f(x) = 2x + 4\\) (for all \\(x\\) ) is the only solution.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all functions \\(f: \\mathbb{R} \\to \\mathbb{R}\\) that satisfy \n\n\\[f(x + f(y)) = 2x + 2f(y + 1)\\] \n\nfor all real numbers \\(x\\) and \\(y\\) .", "solution": "Substitute \\(x = z - f(0)\\) and \\(y = 0\\) into the given equation to get \n\n\\[f((z - f(0)) + f(0)) = 2(z - f(0)) + 2f(1)\\] \\[f(z) = 2z + (2f(1) - 2f(0)).\\] \n\nHence \\(f(z) = 2z + c\\) for any real number \\(z\\) , where \\(c = 2f(1) - 2f(0)\\) is constant. Now \n\n\\[f(1) - f(0) = (2\\cdot 1 + c) - (2\\cdot 0 + c) = 2.\\] \n\nHence \\(c = 2f(1) - 2f(0) = 4\\) . Therefore \\(f(z) = 2z + 4\\) is the only possible function satisfying the given equation. \n\nNow need to check that \\(f(z) = 2z + 4\\) does indeed satisfy the given equation \n\n\\[f(x + f(y)) = f(x + 2y + 4) = 2(x + 2y + 4) + 4 = 2x + 4y + 12\\] \\[\\qquad = 2x + 2(2(y + 1) + 4) = 2x + 2f(y + 1).\\] \n\nHence \\(f(z) = 2z + 4\\) is the unique function \\(f\\) satisfying the given equation.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "# Alternative Solution:"}} -{"year": "2020", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with \\(AB > AC\\) . Let \\(P\\) be the foot of the altitude from \\(C\\) to \\(AB\\) and let \\(Q\\) be the foot of the altitude from \\(B\\) to \\(AC\\) . Let \\(X\\) be the intersection of \\(PQ\\) and \\(BC\\) . Let the intersection of the circumcircles of triangle \\(\\triangle AXC\\) and triangle \\(\\triangle PQC\\) be distinct points: \\(C\\) and \\(Y\\) . Prove that \\(PY\\) bisects \\(AX\\) .", "solution": ": Let \\(Z\\) be the point where \\(PY\\) intersects \\(AX\\) . The problem asks us to prove that \\(AZ = ZX\\) . \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nSince \\(\\angle BPC = \\angle BQC = 90^{\\circ}\\) we conclude that \\(BPQC\\) is a cyclic quadrilateral. Hence \\(BPYQC\\) is a cyclic pentagon. A quick angle chase gives us: \n\n\\[\\angle ZPA = 180^{\\circ} - \\angle BPY\\] \\[\\qquad = \\angle BCY\\] \\[\\qquad = 180^{\\circ} - \\angle XCY\\] \\[\\qquad = \\angle XAY\\] \\[\\qquad = \\angle ZAY.\\] \n\nHence triangles \\(\\triangle ZPA\\) and \\(\\triangle ZAY\\) are similar ( \\(\\angle Z\\) is shared). Therefore \\(\\frac{ZP}{ZA} = \\frac{ZA}{ZY}\\) , and hence \\(ZA^{2} = ZP \\times ZY\\) . Another angle chase gives us: \n\n\\[\\angle XPZ = \\angle QPY\\] \\[\\qquad = \\angle QCY\\] \\[\\qquad = \\angle ACY\\] \\[\\qquad = \\angle AXY\\] \\[\\qquad = \\angle ZXY.\\] \n\nHence triangles \\(\\triangle ZPX\\) and \\(\\triangle ZXY\\) are similar ( \\(\\angle Z\\) is shared). Therefore \\(\\frac{ZP}{ZX} = \\frac{ZX}{ZY}\\) and hence \\(ZX^{2} = ZP \\times ZY\\) . Putting this together gives us: \n\n\\[ZA^{2} = ZP \\times ZY = ZX^{2}.\\] \n\nHence \\(ZA = ZX\\) , and therefore \\(Z\\) is the midpoint of \\(AX\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} +{"year": "2020", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with \\(AB > AC\\) . Let \\(P\\) be the foot of the altitude from \\(C\\) to \\(AB\\) and let \\(Q\\) be the foot of the altitude from \\(B\\) to \\(AC\\) . Let \\(X\\) be the intersection of \\(PQ\\) and \\(BC\\) . Let the intersection of the circumcircles of triangle \\(\\triangle AXC\\) and triangle \\(\\triangle PQC\\) be distinct points: \\(C\\) and \\(Y\\) . Prove that \\(PY\\) bisects \\(AX\\) .", "solution": ": Let \\(Z\\) be the point where \\(PY\\) intersects \\(AX\\) . The problem asks us to prove that \\(AZ = ZX\\) . \n\n![md5:4fb802b333e8b7afe9964271543b363d](4fb802b333e8b7afe9964271543b363d.jpeg)\n\n\n\n\nSince \\(\\angle BPC = \\angle BQC = 90^{\\circ}\\) we conclude that \\(BPQC\\) is a cyclic quadrilateral. Hence \\(BPYQC\\) is a cyclic pentagon. A quick angle chase gives us: \n\n\\[\\angle ZPA = 180^{\\circ} - \\angle BPY\\] \\[\\qquad = \\angle BCY\\] \\[\\qquad = 180^{\\circ} - \\angle XCY\\] \\[\\qquad = \\angle XAY\\] \\[\\qquad = \\angle ZAY.\\] \n\nHence triangles \\(\\triangle ZPA\\) and \\(\\triangle ZAY\\) are similar ( \\(\\angle Z\\) is shared). Therefore \\(\\frac{ZP}{ZA} = \\frac{ZA}{ZY}\\) , and hence \\(ZA^{2} = ZP \\times ZY\\) . Another angle chase gives us: \n\n\\[\\angle XPZ = \\angle QPY\\] \\[\\qquad = \\angle QCY\\] \\[\\qquad = \\angle ACY\\] \\[\\qquad = \\angle AXY\\] \\[\\qquad = \\angle ZXY.\\] \n\nHence triangles \\(\\triangle ZPX\\) and \\(\\triangle ZXY\\) are similar ( \\(\\angle Z\\) is shared). Therefore \\(\\frac{ZP}{ZX} = \\frac{ZX}{ZY}\\) and hence \\(ZX^{2} = ZP \\times ZY\\) . Putting this together gives us: \n\n\\[ZA^{2} = ZP \\times ZY = ZX^{2}.\\] \n\nHence \\(ZA = ZX\\) , and therefore \\(Z\\) is the midpoint of \\(AX\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\triangle ABC\\) be an acute triangle with \\(AB > AC\\) . Let \\(P\\) be the foot of the altitude from \\(C\\) to \\(AB\\) and let \\(Q\\) be the foot of the altitude from \\(B\\) to \\(AC\\) . Let \\(X\\) be the intersection of \\(PQ\\) and \\(BC\\) . Let the intersection of the circumcircles of triangle \\(\\triangle AXC\\) and triangle \\(\\triangle PQC\\) be distinct points: \\(C\\) and \\(Y\\) . Prove that \\(PY\\) bisects \\(AX\\) .", "solution": "First we will embed the diagram in the Argand plane, such that point \\(B\\) is represented by the complex number \\(b = - 1\\) and point \\(C\\) is represented by the complex number \\(c = 1\\) . Lower case letters will always denote the complex number representing the corresponding upper case letter (so \\(a\\) is the complex number representing point \\(A\\) and \\(x\\) is the complex number representing point \\(X\\) , etc). We will endeavour to find expressions for all the points in the diagram in terms of \\(p\\) and \\(q\\) . \n\nSince \\(\\angle BPC = \\angle BQC = 90^{\\circ}\\) , we know that points \\(P\\) and \\(Q\\) both lie on the unit circle. So \\(p\\bar{p} = q\\bar{q} = 1\\) . Therefore the circumcircle of triangle \\(PQC\\) is the unit circle and thus \\(y\\bar{y} = 1\\) too. Since point \\(A\\) is the intersection of chords \\(BP\\) and \\(CQ\\) , we can compute \\(a\\) using the formula for the intersection of two chords. \n\n\\[a = \\frac{cq(b + p) - bp(c + q)}{cq - bp} = \\frac{q(-1 + p) - (-1)p(1 + q)}{q - (-1)p} = \\frac{2pq + p - q}{p + q}\\] \\[\\qquad \\Rightarrow \\qquad \\bar{a} = \\frac{2\\bar{p}\\bar{q} + \\bar{p} - \\bar{q}}{\\bar{p} + \\bar{q}} = \\frac{(2\\bar{p}\\bar{q} + \\bar{p} - \\bar{q})pq}{(\\bar{p} + \\bar{q})pq} = \\frac{2 + q - p}{q + p}\\] \\[\\qquad \\mathrm{note:}\\qquad \\frac{1 - a}{1 - \\bar{a}} = \\frac{1 - \\frac{2pq + p - q}{p + q}}{1 - \\frac{2 + q - p}{q + p}} = \\frac{(p + q) - (2pq + p - q)}{(p + q) - (2 + q - p)} = \\frac{2q - 2pq}{2p - 2} = -q.\\] \n\nSimilarly \\(X\\) is the intersection of chords \\(PQ\\) and \\(BC\\) , so \n\n\\[x = \\frac{pq(b + c) - bc(p + q)}{pq - bc} = \\frac{pq(0) - (-1)(p + q)}{pq - (-1)} = \\frac{p + q}{pq + 1}\\]\n\n\n\nNow we have formulas for \\(a\\) and \\(x\\) in terms of \\(p\\) and \\(q\\) . Next we will use the fact that \\(AYCX\\) is cyclic to find a formula for \\(y\\) in terms of \\(p\\) and \\(q\\) . \\(AYCX\\) being cyclic is equivalent to \\(\\angle CAY = \\angle CXY\\) . This is equivalent to \n\n\\[\\left(\\frac{c - a}{\\bar{c} - \\bar{a}}\\right) / \\left(\\frac{y - a}{\\bar{y} - \\bar{a}}\\right) = \\left(\\frac{c - x}{\\bar{c} - \\bar{x}}\\right) / \\left(\\frac{y - x}{\\bar{y} - \\bar{x}}\\right)\\] \n\nTo simplify this, first recall that \\(\\frac{c - a}{\\bar{c} - \\bar{a}} = \\frac{1 - a}{1 - \\bar{a}} = - q\\) . Also, since \\(c = \\bar{c}\\) and \\(x = \\bar{x}\\) ( \\(c\\) and \\(x\\) are real numbers) the \\(\\frac{c - x}{\\bar{c} - \\bar{x}}\\) factor is 1. Furthermore, since \\(y\\bar{y} = 1\\) we can replace \\(\\bar{y}\\) with \\(y^{- 1}\\) . Thus the equation for \\(AYCX\\) being cyclic becomes: \n\n\\[(-q) / \\left(\\frac{y - a}{y^{-1} - \\bar{a}}\\right) = 1 / \\left(\\frac{y - x}{y^{-1} - x}\\right).\\] \n\nFrom here, We can multiply out the denominators, expand the brackets and collect like terms to get a quadratic in \\(y\\) . \n\n\\[(q\\bar{a} +x)y^{2} - (q\\bar{a}x + q + xa + 1)y + (qx + a) = 0.\\] \n\nNow (using \\(\\frac{1 - a}{1 - \\bar{a}} = - q\\) ) we can get \\((q\\bar{a} +x + qx + a) = (q\\bar{a}x + q + xa + 1)\\) . Thus the quadratic factorises as: \n\n\\[(y - 1)\\Big((q\\bar{a} +x)y - (qx + a)\\Big) = 0.\\] \n\nSince \\(Y\\) and \\(C\\) are distinct points, we know \\(y\\neq 1\\) and so we finally get a formula for \\(y\\) \n\n\\[(q\\bar{a} +x)y - (qx + a) = 0\\qquad \\Longrightarrow \\qquad y = \\frac{qx + a}{q\\bar{a} + x}\\] \n\nWe can now subsitute our formulas for \\(a\\) and \\(x\\) ( \\(a = \\frac{2pq + p - q}{p + q}\\) and \\(x = \\frac{p + q}{pq + 1}\\) ) into this expression to find \\(y\\) in terms of \\(p\\) and \\(q\\) . After some algebraic simplification this yields: \n\n\\[y = \\frac{2p^{2}q + (q + 1)p + q^{2} - q}{(1 - q)p^{2} + (q + q^{2})p + 2q}.\\] \n\nLet \\(M\\) be the midpoint of \\(AX\\) . So \n\n\\[m = \\frac{a + x}{2} = \\frac{\\frac{2pq + p - q}{p + q} + \\frac{p + q}{pq + 1}}{2} = \\frac{(pq + 1)(2pq + p - q) + (p + q)^{2}}{2(p + q)(pq + 1)}.\\] \n\n\\[\\overline{m} = \\frac{(pq + 1)(2 + q - p) + (p + q)^{2}}{2(p + q)(pq + 1)}.\\] \n\n\\[p\\overline{m} -1 = \\frac{(p - 1)((1 - q)p^{2} + (q + q^{2})p + 2q)}{2(p + q)(pq + 1)}\\] \n\n\\[y(p\\overline{m} -1) = \\frac{(p - 1)(2p^{2}q + (q + 1)p + q^{2} - q)}{2(p + q)(pq + 1)}\\] \\[y(p\\overline{m} -1) + m = \\frac{(p - 1)(2p^{2}q + (q + 1)p + q^{2} - q)}{2(p + q)(pq + 1)} +\\frac{(pq + 1)(2pq + p - q) + (p + q)^{2}}{2(p + q)(pq + 1)}\\] \\[= \\frac{(p - 1)(2p^{2}q + (q + 1)p + q^{2} - q) + (pq + 1)(2pq + p - q) + (p + q)^{2}}{2(p + q)(pq + 1)}\\] \\[= \\frac{2p^{3}q + 2p^{2}q^{2} + 2p^{2} + 2pq}{2(p + q)(pq + 1)}\\] \\[= p.\\] \n\nWe have shown that \\(y(p\\overline{m} -1) + m = p\\) . Hence \n\n\\[m = p + y - py\\overline{m}.\\] \n\nWhich interpeted geometrically means that point \\(M\\) lies on chord \\(PY\\) of the unit circle.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "# Alternative Solution (outline):"}} -{"year": "2020", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Josie and Ross are playing a game on a \\(20 \\times 20\\) chessboard. Initially the chessboard is empty. The two players alternately take turns, with Josie going first. On Josie's turn, she selects any two different empty cells, and places one white stone in each of them. On Ross' turn, he chooses any one white stone currently on the board, and replaces it with a black stone. If at any time there are 8 consecutive cells in a line (horizontally or vertically) all of which contain a white stone, Josie wins. Is it possible that Ross can stop Josie winning — regardless of how Josie plays?", "solution": ": Ross can't stop Josie winning — Josie has a strategy in which she can ensure that there will be 8 white stones in a row. We will give an explicit example of such a strategy. \n\nTo simplify notation, we define a \\(k\\) - strip to be a \\(1 \\times 8\\) rectangle, in which the first \\(k\\) cells are filled with white stones and the other \\(8 - k\\) cells are empty. \n\n- Step One. Josie creates 32 disjoint 1-strips using the following technique. \n\nStart by finding 44 disjoint \\(1 \\times 9\\) rectangles on the board. \n\n![](data:image/jpeg;base64,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)\n \n\n- Josie places a white stone in one end of each of these 44 rectangles on her first 22 turns. \n\n- Ross \"ruins\" 22 of them. Each of the other 22 rectangles are 1-strips (by ignoring the empty end cell). \n\n- On Josie's next 10 turns she then chooses 20 of the ruined \\(1 \\times 9\\) rectangles, and \"unruins\" them by placing a white stone in the other end. These are now 1-strips (by ignoring the cell containing the black stone). \n\n- However Ross \"ruins\" a further 10 of them. So in total we have \n\n\\[22 + 20 - 10 = 32 \\text{ disjoint 1-strips.}\\] \n\n- Step Two. Repeat the following operation for \\(k = 1, 2, 3, 4, 5\\) . \n\nStarting with \\(2^{6 - k}\\) disjoint \\(k\\) - strips. Josie can use her next \\(2^{5 - k}\\) turns to add one white stone to each of these strips. On Ross' next \\(2^{5 - k}\\) turns he can spoil at most \\(2^{5 - k}\\) of them. So we are left with at least \\(2^{5 - k}\\) disjoint \\((k + 1)\\) - strips. \n\n- Step Three. Now we have at least one 6-strip. Josie wins immediately by placing both her white stones into the empty cells in the 6-strip.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} +{"year": "2020", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Josie and Ross are playing a game on a \\(20 \\times 20\\) chessboard. Initially the chessboard is empty. The two players alternately take turns, with Josie going first. On Josie's turn, she selects any two different empty cells, and places one white stone in each of them. On Ross' turn, he chooses any one white stone currently on the board, and replaces it with a black stone. If at any time there are 8 consecutive cells in a line (horizontally or vertically) all of which contain a white stone, Josie wins. Is it possible that Ross can stop Josie winning — regardless of how Josie plays?", "solution": ": Ross can't stop Josie winning — Josie has a strategy in which she can ensure that there will be 8 white stones in a row. We will give an explicit example of such a strategy. \n\nTo simplify notation, we define a \\(k\\) - strip to be a \\(1 \\times 8\\) rectangle, in which the first \\(k\\) cells are filled with white stones and the other \\(8 - k\\) cells are empty. \n\n- Step One. Josie creates 32 disjoint 1-strips using the following technique. \n\nStart by finding 44 disjoint \\(1 \\times 9\\) rectangles on the board. \n\n![md5:bffeb9bee513f65a819c23fc8a7311ad](bffeb9bee513f65a819c23fc8a7311ad.jpeg)\n \n\n- Josie places a white stone in one end of each of these 44 rectangles on her first 22 turns. \n\n- Ross \"ruins\" 22 of them. Each of the other 22 rectangles are 1-strips (by ignoring the empty end cell). \n\n- On Josie's next 10 turns she then chooses 20 of the ruined \\(1 \\times 9\\) rectangles, and \"unruins\" them by placing a white stone in the other end. These are now 1-strips (by ignoring the cell containing the black stone). \n\n- However Ross \"ruins\" a further 10 of them. So in total we have \n\n\\[22 + 20 - 10 = 32 \\text{ disjoint 1-strips.}\\] \n\n- Step Two. Repeat the following operation for \\(k = 1, 2, 3, 4, 5\\) . \n\nStarting with \\(2^{6 - k}\\) disjoint \\(k\\) - strips. Josie can use her next \\(2^{5 - k}\\) turns to add one white stone to each of these strips. On Ross' next \\(2^{5 - k}\\) turns he can spoil at most \\(2^{5 - k}\\) of them. So we are left with at least \\(2^{5 - k}\\) disjoint \\((k + 1)\\) - strips. \n\n- Step Three. Now we have at least one 6-strip. Josie wins immediately by placing both her white stones into the empty cells in the 6-strip.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "For a positive integer \\(x\\) , define a sequence \\(a_{0}, a_{1}, a_{2}, \\ldots\\) according to the following rules: \\(a_{0} = 1\\) , \\(a_{1} = x + 1\\) and \n\n\\[a_{n + 2} = x a_{n + 1} - a_{n}\\qquad \\mathrm{for~all~}n\\geq 0.\\] \n\nProve that there exist infinitely many positive integers \\(x\\) such that this sequence does not contain a prime number.", "solution": ": For each integer \\(n \\geq 0\\) and \\(x > 2\\) , we recursively define integers \\(a_{n}(x)\\) and \\(b_{n}(x)\\) . Let \\(a_{0}(x) = b_{0}(x) = 1\\) and \\(a_{1}(x) = x + 1\\) and \\(b_{1}(x) = x - 1\\) . For all \\(n \\geq 0\\) let \n\n\\[a_{n + 2}(x) = x a_{n + 1}(x) - a_{n}(x)\\quad \\mathrm{and}\\quad b_{n + 2}(x) = x b_{n + 1}(x) - b_{n}(x).\\] \n\nSo for constant \\(x\\) , the sequences \\((a_{n}\\) and \\(b_{n}\\) ), both satisfy the same recurrence but have different initial conditions. The chracteristic polynomial for this recurrence is \\(\\lambda^{2} - x\\lambda +1\\) Now let \n\n\\[\\beta = \\beta (x) = \\frac{x + \\sqrt{x^{2} - 4}}{2}\\] \n\nand note that the roots of the characteristic polynomial are \\(\\beta\\) and \\(\\beta^{- 1}\\) (the roots are reciprocals because the constant term is 1). \n\nLemma: \n\n\\[a_{n}(x) = \\frac{\\beta^{n + 1} - \\beta^{-n}}{\\beta - 1}\\qquad \\mathrm{and}\\qquad b_{n}(x) = \\frac{\\beta^{n + 1} + \\beta^{-n}}{\\beta + 1}.\\] \n\nProof of Lemma: \n\nSince these formalas for \\(a_{n}(x)\\) and \\(b_{n}(x)\\) are both linear combinations of \\(\\beta^{n}\\) and \\(\\beta^{- n}\\) , we simply need to verify them for \\(n = 0\\) and \\(n = 1\\) . \n\n\\[\\frac{\\beta^{0 + 1} - \\beta^{-0}}{\\beta - 1} = 1 = a_{0}(x)\\qquad \\mathrm{and}\\qquad \\frac{\\beta^{0 + 1} + \\beta^{-0}}{\\beta + 1} = 1 = b_{0}(x)\\] \n\nSince \\(\\beta\\) is a root of \\(\\lambda^{2} - x\\lambda + 1\\) , this means that \\(\\beta^{2} + 1 = x\\beta\\) and thus \\(\\beta + \\beta^{- 1} = x\\) . So \n\n\\[\\frac{\\beta^{2} - \\beta^{-1}}{\\beta - 1} = \\beta +1 + \\beta^{-1}\\] \\[\\qquad = x + 1\\] \\[\\qquad = a_{1}(x).\\] \n\nThus the Lemma is now proven. Also note that \\((\\beta (x))^{2} = \\beta (y)\\) for \\(y = x^{2} - 2\\) , because \n\n\\[(\\beta (x))^{2} = \\left(\\frac{x + \\sqrt{x^{2} - 4}}{2}\\right)^{2} = \\frac{(x^{2} - 2) + \\sqrt{(x^{2} - 2)^{2} - 4}}{2} = \\frac{y + \\sqrt{y^{2} - 4}}{2} = \\beta (y).\\] \n\nNow we use \\(\\beta^{2} = (\\beta (x))^{2} = \\beta (y)\\) to show that \\(a_{n}(x)b_{n}(x) = a_{n}(y)\\) . \n\n\\[a_{n}(x)b_{n}(x) = \\left(\\frac{\\beta^{n + 1} - \\beta^{-n}}{\\beta - 1}\\right)\\left(\\frac{\\beta^{n + 1} + \\beta^{-n}}{\\beta + 1}\\right)\\] \\[\\qquad = \\frac{(\\beta^{2})^{n + 1} - (\\beta^{2})^{-n}}{(\\beta^{2} - 1)}\\] \\[\\qquad = \\frac{(\\beta(y))^{n + 1} - (\\beta(y))^{-n}}{(\\beta(y) - 1)}\\] \\[\\qquad = a_{n}(y).\\]\n\n\n\nThis shows that the sequence \\(a_{1}(y), a_{2}(y), a_{3}(y), \\ldots\\) cannot contain any prime numbers. Since there are infinitely many integers of the form \\(y = x^{2} - 2\\) , we are done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "For a positive integer \\(x\\) , define a sequence \\(a_{0}, a_{1}, a_{2}, \\ldots\\) according to the following rules: \\(a_{0} = 1\\) , \\(a_{1} = x + 1\\) and \n\n\\[a_{n + 2} = x a_{n + 1} - a_{n}\\qquad \\mathrm{for~all~}n\\geq 0.\\] \n\nProve that there exist infinitely many positive integers \\(x\\) such that this sequence does not contain a prime number.", "solution": "First note that (for \\(x \\geq 3\\) ) each term in the sequence is more than double the previous term, because \n\n\\[a_{n + 1} = x a_{n} - a_{n - 1} = (x - 1)a_{n} + (a_{n} - a_{n - 1})\\geq (x - 1)a_{n}\\geq 2a_{n}.\\] \n\nMoreover we can easily verify that \\(a_{n} > x\\) for all \\(n \\geq 1\\) because \\(a_{n} \\geq a_{1} = x + 1\\) . Now we prove the following Lemma. \n\nLemma: \n\n\\[a_{n}^{2} - a_{n + 1}a_{n - 1} = x + 2\\] \n\nProof of Lemma: (by Induction) \n\nFirst note that \\(a_{2} = x a_{1} - a_{0} = x(x + 1) - 1\\) . Now for the base case, we check this expression for \\(n = 1\\) . \n\n\\[a_{1}^{2} - a_{2}a_{0} = (x + 1)^{2} - (x(x + 1) - 1)(1) = x + 2.\\] \n\nThis proves the Lemma when \\(n = 0\\) . Now for the inductive step, we assume the Lemma is true when \\(n = k\\) . Assume: \\(a_{k}^{2} - a_{k + 1}a_{k - 1} = x + 2\\) . Now we will use \\(x a_{k} = a_{k + 1} + a_{k - 1}\\) to simplify \\(a_{k + 1}^{2} - a_{k + 2}a_{k}\\) . \n\n\\[a_{k + 1}^{2} - a_{k + 2}a_{k} = a_{k + 1}^{2} - (x a_{k + 1} - a_{k})a_{k}\\] \\[\\qquad = a_{k + 1}^{2} - x a_{k}a_{k + 1} + a_{k}^{2}\\] \\[\\qquad = a_{k + 1}^{2} - (a_{k + 1} + a_{k - 1})a_{k + 1} + a_{k}^{2}\\] \\[\\qquad = a_{k + 1}^{2} - a_{k + 1}^{2} - a_{k - 1}a_{k + 1} + a_{k}^{2}\\] \\[\\qquad = a_{k}^{2} - a_{k - 1}a_{k + 1}\\] \\[\\qquad = x + 2.\\] \n\nThus that the Lemma is proven. Now lets assume that \\((x + 2)\\) is a perfect square; let \\(x + 2 = c^{2}\\) for some integer \\(c \\geq 3\\) . This implies that \\(a_{n}^{2} - a_{n + 1}a_{n - 1} = c^{2}\\) . Therefore \n\n\\[a_{n + 1}a_{n - 1} = a_{n}^{2} - c^{2} = (a_{n} + c)(a_{n} - c)\\] \n\nand thus \\((a_{n} + c)(a_{n} - c)\\) is a multiple of \\(a_{n + 1}\\) . We know that both factors \\((a_{n} + c)\\) and \\((a_{n} - c)\\) are positive because \\(a_{n} > x = c^{2} - 2 > c\\) for all \\(c \\geq 3\\) . \n\nNow suppose for the sake of contradiction that \\(a_{n + 1}\\) was prime. This would mean that either \\((a_{n} + c)\\) or \\((a_{n} - c)\\) is a multiple of \\(a_{n + 1}\\) . Therefore either \n\n\\[a_{n + 1}\\leq a_{n} + c\\qquad \\mathrm{or}\\qquad a_{n + 1}\\leq a_{n} - c.\\] \n\nEither way we get \\(a_{n + 1} \\leq a_{n} + c\\) . Now using \\(a_{n} > c\\) we obtain \n\n\\[a_{n + 1}\\leq a_{n} + c< a_{n} + a_{n} = 2a_{n}.\\] \n\nHowever this contradicts the fact that each term in the sequence is double the previous term. Therefore \\(a_{n + 1}\\) cannot be prime (when \\(x = c^{2} - 2\\) ) for any \\(n \\geq 1\\) . Finally we notice that \\(a_{0} = 1\\) is not prime, and \\(a_{1} = x + 1 = (c^{2} - 2) + 1 = (c + 1)(c - 1)\\) is clearly composite for all \\(c \\geq 3\\) . Thus we have shown that the sequence \\(a_{0}, a_{1}, a_{2}, \\ldots\\) contains no prime numbers whenever \\(x\\) is in the form \\(x = c^{2} - 2\\) for any integer \\(c \\geq 3\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2020_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nAlternative Solution:"}} diff --git a/NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl index 5045257a962831a8e6b894638afb7e85d5aaeab8..146ceae1599ad63125a01cd582c8a83a0db0c374 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl @@ -1,8 +1,8 @@ {"year": "2021", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "A school offers three subjects: Mathematics, Art and Science. At least \\(80\\%\\) of students study both Mathematics and Art. At least \\(80\\%\\) of students study both Mathematics and Science. Prove that at least \\(80\\%\\) of students who study both Art and Science, also study Mathematics.", "solution": ": Let \\(n\\) be the total number of students. Let \\(x\\) be the number of students that study all three subjects. Let \\(a\\) be the number of students that study Maths and Art but not Science. Let \\(b\\) be the number of students that study Maths and Science but not Art. Let \\(c\\) be the number of students that study Art and Science but not Maths. \n\nSo \\(a,b,c,x,n\\) are non- negative real numbers with \n\n\\(\\cdot n\\geq a + b + c + x\\) (total number of students). \n\n\\(\\cdot x + a\\geq 0.8\\times n\\) (studying both Mathematics and Art), \n\n\\(\\cdot x + b\\geq 0.8\\times n\\) (studying both Mathematics and Science). \n\nAdding all these together gives us \\(2x + a + b\\geq 1.6\\times n\\) and since \\(n\\geq a + b + c + x\\) we get: \n\n\\[2x + a + b\\geq 1.6\\times (a + b + c + x).\\] \n\nFinally multiply both sides by 0.5 and rearrange to get: \n\n\\[x\\geq 0.8\\times (x + c) + 0.3\\times (a + b)\\geq 0.8\\times (x + c).\\] \n\nTherefore \\(\\frac{x}{x + c}\\geq 0.8\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "A school offers three subjects: Mathematics, Art and Science. At least \\(80\\%\\) of students study both Mathematics and Art. At least \\(80\\%\\) of students study both Mathematics and Science. Prove that at least \\(80\\%\\) of students who study both Art and Science, also study Mathematics.", "solution": "First note that if \\(x\\geq 0.8n\\) then \\(\\frac{x}{x + c}\\geq \\frac{x}{n}\\geq 0.8\\) . Otherwise we have \\(x< 0.8n\\) and so \\(n > \\frac{5x}{4}\\) . Hence \n\n\\[\\frac{x}{x + c} = \\frac{x}{(a + b + c + x) - (a + x) - (b + x) + 2x\\] \\[\\geq \\frac{x}{n - 0.8n - 0.8n + 2x\\] \\[= \\frac{x}{2x - 0.6n\\] \\[>\\frac{x}{2x - 0.6\\times\\frac{5x}{4\\] \\[= 0.8.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "# Alternative Solution:"}} -{"year": "2021", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a trapezium such that \\(AB \\parallel CD\\). Let \\(E\\) be the intersection of diagonals \\(AC\\) and \\(BD\\). Suppose that \\(AB = BE\\) and \\(AC = DE\\). Prove that the internal angle bisector of \\(\\angle BAC\\) is perpendicular to \\(AD\\).", "solution": ": First note that triangle \\(ABE\\) is isosceles because \\(AB = BE\\). \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(x = \\angle DEC\\) . Angle chasing gives: \n\n\\[x = \\angle DEC\\] \\[\\quad = \\angle BEA\\] \\[\\quad = \\angle EAB\\] \\[\\quad = \\angle ACD.\\] \n\nTherefore triangle \\(CDE\\) is isosceles. Hence \\(DE = DC\\) . Since we are also given \\(AC = DE\\) this implies \\(AC = DC\\) . Therefore \\(\\triangle ACD\\) is isosceles. Since \\(x = \\angle ACD\\) this gives us \n\n\\[\\angle CDA = \\angle DAC = 90^{\\circ} - \\frac{x}{2}\\] \n\nNow let \\(\\lambda\\) be the angle bisector of \\(\\angle BAC\\) . Since \\(x = \\angle BAC\\) we know that \\(\\lambda\\) makes an angle of \\(\\frac{1}{2}\\angle BAC = \\frac{x}{2}\\) with line \\(AC\\) . Therefore the angle between \\(\\lambda\\) and \\(AD\\) is \n\n\\[\\frac{x}{2} +\\angle DAC = \\frac{x}{2} +\\left(90^{\\circ} - \\frac{x}{2}\\right) = 90^{\\circ}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} +{"year": "2021", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a trapezium such that \\(AB \\parallel CD\\). Let \\(E\\) be the intersection of diagonals \\(AC\\) and \\(BD\\). Suppose that \\(AB = BE\\) and \\(AC = DE\\). Prove that the internal angle bisector of \\(\\angle BAC\\) is perpendicular to \\(AD\\).", "solution": ": First note that triangle \\(ABE\\) is isosceles because \\(AB = BE\\). \n\n![md5:935e4dd436ea123c3cec41c6e1dd10f9](935e4dd436ea123c3cec41c6e1dd10f9.jpeg)\n \n\nLet \\(x = \\angle DEC\\) . Angle chasing gives: \n\n\\[x = \\angle DEC\\] \\[\\quad = \\angle BEA\\] \\[\\quad = \\angle EAB\\] \\[\\quad = \\angle ACD.\\] \n\nTherefore triangle \\(CDE\\) is isosceles. Hence \\(DE = DC\\) . Since we are also given \\(AC = DE\\) this implies \\(AC = DC\\) . Therefore \\(\\triangle ACD\\) is isosceles. Since \\(x = \\angle ACD\\) this gives us \n\n\\[\\angle CDA = \\angle DAC = 90^{\\circ} - \\frac{x}{2}\\] \n\nNow let \\(\\lambda\\) be the angle bisector of \\(\\angle BAC\\) . Since \\(x = \\angle BAC\\) we know that \\(\\lambda\\) makes an angle of \\(\\frac{1}{2}\\angle BAC = \\frac{x}{2}\\) with line \\(AC\\) . Therefore the angle between \\(\\lambda\\) and \\(AD\\) is \n\n\\[\\frac{x}{2} +\\angle DAC = \\frac{x}{2} +\\left(90^{\\circ} - \\frac{x}{2}\\right) = 90^{\\circ}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "In a sequence of numbers, a term is called golden if it is divisible by the term immediately before it. What is the maximum possible number of golden terms in a permutation of \\(1,2,3,\\ldots ,2021?\\)", "solution": ": Let \\(k\\) be the number of golden terms. We claim that \\(k\\leq 1010\\) \n\nProof: Define the term immediately before a golden term to be a silver term. The number of silver terms is also \\(k\\) . If \\(a\\) is any silver term and \\(b\\) is the corresponding golden term then we must have \n\n\\[a\\leq \\frac{b}{2}\\leq \\frac{2021}{2} < 1011.\\] \n\nTherefore \\(a\\leq 1010\\) . Hence \\(a\\in \\{1,2,3,\\ldots ,1010\\}\\) and therefore there can be at most 1010 different silver terms. Therefore \\(k\\leq 1010\\) \n\nNow we need to show that \\(k = 1010\\) is indeed possible. To do this we first partition the set \\(\\{1,2,3,\\ldots ,2021\\}\\) into the following distinct parts: \n\n\\[\\{1,2,4,8,16,32,64,128,256,512,1024\\},\\] \\[\\{3,6,12,24,48,96,192,384,768,1536\\},\\] \\[\\{5,10,20,40,80,160,320,640,1280\\},\\] \\[\\{7,14,28,56,112,224,448,896,1792\\},\\] \\[\\ldots\\] \\[\\{2019\\},\\] \\[\\{2021\\} .\\] \n\nEach part starts with an odd number, which is then doubled until the result is larger than 2021. \n\nPutting each part in the above sequence in order is our example. In this example every even term, \\(2n\\) , is golden because it occurs immediately after the term \\(n\\) . There are 1010 even numbers, so \\(k = 1010\\) is possible. \n\n## Comment: \n\nA full solution needs to show that any permutation cannot have 1011 (or more) golden terms. Simply claiming that a particular permutation is \"optimal\" or \"best\" would not receive full marks for this problem. There are many permutations with 1010 golden terms such that not every golden term is double it's predecessor. For example: \n\n\\[4,8,16,32,64,128,256,512,1024,\\] \\[1,2,6,12,24,48,96,192,384,768,1536,\\] \\[5,10,20,40,80,160,320,640,1280,\\] \\[7,14,28,56,112,224,448,896,1792,\\] \\[3,9,18,36,72,144,288,576,1152,\\] \\[11,\\ldots\\] \\[2021.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all triples \\((x,p,n)\\) of non-negative integers such that \\(p\\) is prime and \n\n\\[2x(x + 5) = p^{n} + 3(x - 1).\\]", "solution": ": The equation rearranges to be \n\n\\[p^{n} = 2x(x + 5) - 3(x - 1) = 2x^{2} + 7x + 3 = (2x + 1)(x + 3).\\] \n\nSince \\(x\\) is a non- negative integer, both factors \\((2x + 1)\\) and \\((x + 3)\\) must be positive integers. Therefore both \\((2x + 1)\\) and \\((x + 3)\\) are both powers of \\(p\\) . Let \n\n\\[2x + 1 = p^{a}\\] \\[x + 3 = p^{b}.\\] \n\nNow note that \\(\\gcd (2x + 1,x + 3) = \\gcd (x - 2,x + 3) = \\gcd (5,x + 3)\\) which must equal either 1 or 5 (because 5 is prime). We consider each case individually: \n\nIf \\(\\gcd (2x + 1,x + 3) = 5\\) then \\(p = 5\\) and \\(\\min (a,b) = 1\\) . Thus either \\(2x + 1 = 5\\) or \\(x + 3 = 5\\) . Either way we get \\(x = 2\\) . This leads to \\(p^{n} = 25\\) and so \\((x,p,n) = (2,5,2)\\) . If \\(\\gcd (2x + 1,x + 3) = 1\\) then \\(\\min (a,b) = 0\\) . Thus \\(2x + 1 = 1\\) or \\(x + 3 = 1\\) . So either \\(x = 0\\) or \\(x = - 2\\) . We can't have \\(x< 0\\) so we must have \\(x = 0\\) . This leads to \\(p^{n} = 3\\) and so \\((x,p,n) = (0,3,1)\\) . \n\nTherefore the only solutions for \\((x,p,n)\\) are \\((2,5,2)\\) and \\((0,3,1)\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} -{"year": "2021", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be an isosceles triangle with \\(AB = AC\\) . Point \\(D\\) lies on side \\(AC\\) such that \\(BD\\) is the angle bisector of \\(\\angle ABC\\) . Point \\(E\\) lies on side \\(BC\\) between \\(B\\) and \\(C\\) such that \\(BE = CD\\) . Prove that \\(DE\\) is parallel to \\(AB\\) .", "solution": ": Let \\(E^{\\prime}\\) be the point on line \\(BC\\) such that \\(DE^{\\prime}\\) is parallel to \\(AB\\) . We know that \\(E^{\\prime}\\) lies between \\(B\\) and \\(C\\) because \\(D\\) lies between \\(A\\) and \\(C\\) . So it suffices for us to prove that \\(BE^{\\prime} = CD\\) . \n\n![](data:image/jpeg;base64,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)\n \n\n\\[\\angle A C B = \\angle C B A\\] \\[= \\angle C E^{\\prime}D.\\] \n\nTherefore triangle \\(CDE^{\\prime}\\) is isosceles with \\(CD = DE^{\\prime}\\) . \n\n\\[\\angle E^{\\prime}BD = \\angle DBA\\] \\[= \\angle ADE^{\\prime}.\\] \n\nTherefore triangle \\(BE^{\\prime}D\\) is isosceles with \\(BE^{\\prime} = DE^{\\prime}\\) . Hence \\(CD = DE^{\\prime} = BE^{\\prime}\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} +{"year": "2021", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be an isosceles triangle with \\(AB = AC\\) . Point \\(D\\) lies on side \\(AC\\) such that \\(BD\\) is the angle bisector of \\(\\angle ABC\\) . Point \\(E\\) lies on side \\(BC\\) between \\(B\\) and \\(C\\) such that \\(BE = CD\\) . Prove that \\(DE\\) is parallel to \\(AB\\) .", "solution": ": Let \\(E^{\\prime}\\) be the point on line \\(BC\\) such that \\(DE^{\\prime}\\) is parallel to \\(AB\\) . We know that \\(E^{\\prime}\\) lies between \\(B\\) and \\(C\\) because \\(D\\) lies between \\(A\\) and \\(C\\) . So it suffices for us to prove that \\(BE^{\\prime} = CD\\) . \n\n![md5:6fcf46822614183179ec509fff5df855](6fcf46822614183179ec509fff5df855.jpeg)\n \n\n\\[\\angle A C B = \\angle C B A\\] \\[= \\angle C E^{\\prime}D.\\] \n\nTherefore triangle \\(CDE^{\\prime}\\) is isosceles with \\(CD = DE^{\\prime}\\) . \n\n\\[\\angle E^{\\prime}BD = \\angle DBA\\] \\[= \\angle ADE^{\\prime}.\\] \n\nTherefore triangle \\(BE^{\\prime}D\\) is isosceles with \\(BE^{\\prime} = DE^{\\prime}\\) . Hence \\(CD = DE^{\\prime} = BE^{\\prime}\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Is it possible to place a positive integer in every cell of a \\(10 \\times 10\\) array in such a way that both the following conditions are satisfied? \n\n- Each number (not in the top row) is a proper divisor of the number immediately below. \n\n- Each row consists of 10 consecutive positive integers (but not necessarily in order).", "solution": ": Answer: Yes. In fact it is even possible to achieve such an array where each row consists of ten consecutive positive integers in increasing order. We shall construct an example explicitly. \n\nInitially let the top row be \\((1,2,3,\\ldots ,10)\\) in this order. Then iteratively if the contents of a particular row are \n\n\\[(n,n + 1,n + 2,\\ldots ,n + 9)\\] \n\nthen construct the next row to be \n\n\\[\\left((n + 9)! + n,(n + 9)! + n + 1,(n + 9)! + n + 2,\\ldots ,(n + 9)! + n + 9\\right).\\] \n\nSo the completed array will look like this: \n\n
123...10
10! + 110! + 210! + 3...10! + 10
:::::
nn + 1n + 2...n + 9
(n + 9)! + n(n + 9)! + n + 1(n + 9)! + n + 2...(n + 9)! + n + 9
:::::
\n\nTo prove that this construction works, we simply need to verify that \\(\\left((n + 9)! + n + i\\right)\\) is always a multiple of \\((n + i)\\) for each \\(i = 0,1,2,3,\\ldots ,9\\) . We prove this by combining these two trivial divisibilities: \n\n\\[(n + i)\\mid (n + 9)! \\qquad \\mathrm{and} \\qquad (n + i)\\mid (n + i).\\] \n\nThus this construction satisfies the required conditions. \n\n## Comment: \n\nThe construction given here can be generalised in the following way. Let the first row be any arrangement of 10 consecutive positive integers. Then iteratively if the contents of a particular row is \\((a_{1},a_{2},\\ldots ,a_{10})\\) , then choose some positive integer \\(x\\) which is a common multiple of each of \\(a_{1},a_{2},\\ldots ,a_{10}\\) and construct the next row to be \\((b_{1},b_{2},\\ldots ,b_{10})\\) , where \\(b_{i} = x + a_{i}\\) for all \\(i\\) . Note that we cannot simply let \\(x = 0\\) because a number is not a proper divisor of itself.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a, b, c, d\\) be integers such that \\(a > b > c > d \\geq -2021\\) and \n\n\\[\\frac{a + b}{b + c} = \\frac{c + d}{d + a}\\] \n\n(and \\(b + c \\neq 0 \\neq d + a\\) ). What is the maximum possible value of \\(ac\\) ?", "solution": ": We claim that the maximum value of \\(ac\\) is \\(2 \\times 505^{2} = 510050\\) , and this is uniquely achieved by \\((a, b, c, d) = (1010, 506, 505, - 2021)\\) . \n\nTo prove this we start by rearranging the expression \\(\\frac{a + b}{b + c} = \\frac{c + d}{d + a}\\) to get \\((c + b)(c + d) = (a + b)(a + d)\\) . Now expand the brackets and move all the terms to one side to get \\((c - a)(a + b + c + d) = 0\\) . Since \\(c > a\\) we can divide by \\(c - a\\) to get \n\n\\[a + b + c + d = 0.\\] \n\nNote that this is equivalent to the \\(\\frac{a + b}{b + c} = \\frac{c + d}{d + a}\\) condition. Now assume that \\((a, b, c, d)\\) is the tuple such that \\(ac\\) is maximised. Since \\(4a > a + b + c + d = 0\\) we trivially have \\(a > 0\\) . Furthermore if \\(c \\leq 0\\) then we would have \\(ac \\leq 0\\) which would contradict the definition that \\(ac\\) is maximal. Therefore \n\n\\[a > b > c > 0 \\geq d \\geq -2021.\\] \n\nNow we perform two little proofs by contradiction: \n\n- If \\(d > -2021\\) then we could consider \\((a', b', c', d') = (a + 1, b, c, d - 1)\\) so that \n\n\\[a^{\\prime}c^{\\prime} = (a + 1)c > ac.\\] \n\nHowever this would contradict the definition that \\(ac\\) was maximal. \n\nTherefore \\(d = - 2021\\) \n\n- If \\(b > c + 1\\) then we could consider \\((a', b', c', d') = (a + 1, b - 1, c, d)\\) so that \n\n\\[a^{\\prime}c^{\\prime} = (a + 1)c > ac.\\] \n\nHowever this would contradict the definition that \\(ac\\) was maximal. \n\nTherefore \\(b = c + 1\\) \n\nTherefore \\((a, b, c, d) = (a, c + 1, c, - 2021)\\) , and since \\(a + b + c + d = 0\\) , this means \\(a = 2020 - 2c\\) . So the final expression we are trying to maximise is \n\n\\[a c = (2020 - 2c)c\\] \\[\\qquad = 2\\times 505^{2} - 2(c - 505)^{2}\\] \\[\\qquad \\geq 2\\times 505^{2}.\\] \n\nwith equality iff \\(c = 505\\) . Therefore the maximum value of \\(ac\\) is \\(2 \\times 505^{2} = 510050\\) which is achieved by \n\n\\[(a, b, c, d) = (1010, 506, 505, -2021).\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2021_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl index 3595985d408322828da171d5ad1debd32e7eea5a..db5232e5cdb12e241d30e4f368eb844077345e0d 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl @@ -1,10 +1,10 @@ -{"year": "2022", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "\\(ABCD\\) is a rectangle with side lengths \\(AB = CD = 1\\) and \\(BC = DA = 2\\) . Let \\(M\\) be the midpoint of \\(AD\\) . Point \\(P\\) lies on the opposite side of line \\(MB\\) to \\(A\\) , such that triangle \\(MBP\\) is equilateral. Find the value of \\(\\angle PCB\\) .", "solution": ": (Kevin Shen) \n\n\\(M\\) is the midpoint of \\(AD\\) , by symmetry \\(MB = MC\\) . The side lengths of an equilateral triangle are all equal, so \\(MB = MP\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nAs \\(MB = MC = MP\\) , \\(M\\) is the circumcenter of triangle \\(BCP\\) . For any chord of any circle, the angle subtended at the center is always double the angle subtended at the circumference. Since \\(\\angle PCB\\) and \\(\\angle PMB\\) are both subtended by arc \\(BP\\) , we get \n\n\\[\\angle PCB = \\frac{1}{2}\\angle PMB = \\frac{1}{2} 60^{\\circ} = 30^{\\circ}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} +{"year": "2022", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "\\(ABCD\\) is a rectangle with side lengths \\(AB = CD = 1\\) and \\(BC = DA = 2\\) . Let \\(M\\) be the midpoint of \\(AD\\) . Point \\(P\\) lies on the opposite side of line \\(MB\\) to \\(A\\) , such that triangle \\(MBP\\) is equilateral. Find the value of \\(\\angle PCB\\) .", "solution": ": (Kevin Shen) \n\n\\(M\\) is the midpoint of \\(AD\\) , by symmetry \\(MB = MC\\) . The side lengths of an equilateral triangle are all equal, so \\(MB = MP\\) . \n\n![md5:2298d94c09644ba63aba0450bcb0c3ec](2298d94c09644ba63aba0450bcb0c3ec.jpeg)\n \n\nAs \\(MB = MC = MP\\) , \\(M\\) is the circumcenter of triangle \\(BCP\\) . For any chord of any circle, the angle subtended at the center is always double the angle subtended at the circumference. Since \\(\\angle PCB\\) and \\(\\angle PMB\\) are both subtended by arc \\(BP\\) , we get \n\n\\[\\angle PCB = \\frac{1}{2}\\angle PMB = \\frac{1}{2} 60^{\\circ} = 30^{\\circ}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Is it possible to pair up the numbers \\(0, 1, 2, 3, \\ldots , 61\\) in such a way that when we sum each pair, the product of the 31 numbers we get is a perfect fifth power?", "solution": ": (Jamie Craik) \n\nClaim: It can be achieved. One way to achieve it is: \n\nto pair 0 with 1, and \n\nto pair \\(k\\) with \\((63 - k)\\) for \\(k = 2,3,4,\\ldots ,31\\) \n\nThis would result in a product equal to: \n\n\\[(0 + 1)\\prod_{k = 2}^{31}\\left(k + (63 - k)\\right) = 1\\times 63^{30} = \\left(63^{6}\\right)^{5}\\] \n\nwhich is a perfect \\(5^{\\mathrm{th}}\\) power of \\(63^{6}\\) \n\nNote that there are many ways to solve this problem, for example: \n\n\\[(0 + 1)\\times (2 + 11)(3 + 10)(4 + 9)(5 + 8)(6 + 7)\\] \\[\\qquad \\times (12 + 21)(13 + 20)(14 + 19)(15 + 18)(16 + 17)\\] \\[\\qquad \\times (22 + 31)(23 + 30)(24 + 29)(25 + 28)(26 + 27)\\] \\[\\qquad \\times (32 + 41)(33 + 40)(34 + 39)(35 + 38)(36 + 37)\\] \\[\\qquad \\times (42 + 51)(43 + 50)(44 + 49)(45 + 48)(46 + 47)\\] \\[\\qquad \\times (52 + 61)(53 + 60)(54 + 59)(55 + 58)(56 + 57)\\] \\[\\qquad = 1\\times 13^{5}\\times 33^{5}\\times 53^{5}\\times 73^{5}\\times 93^{5}\\times 113^{5}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all real numbers \\(x\\) and \\(y\\) such that \n\n\\[\\frac{x^{2} + y^{2} = 2,}{2 - y} +\\frac{y^{2}}{2 - x} = 2.\\]", "solution": ": (Viet Hoang) \n\nFrom the second equation, after a few steps of algebraic manipulation, one has \n\n\\[x^{2}(2 - x) + y^{2}(2 - y) = 2(2 - x)(2 - y)\\] \\[2(x^{2} + y^{2}) - (x + y)(x^{2} + y^{2} - x y) = 8 - 4(x + y) + 2x y\\] \\[4 - (x + y)(2 - x y) = 8 - 4(x + y) + 2x y.\\] \\[-2(x + y) + x y(x + y) = 4 - 4(x + y) + 2x y\\] \\[2(x + y) + x y(x + y) = 4 + 2x y\\] \\[(x + y - 2)(2 + x y) = 0\\] \n\nIn the case \\(x y = - 2\\) , substituting this into the first equation, we have \\(x^{2} + x y + y^{2} = 0\\) However, this means \n\n\\[\\left(x + \\frac{y}{2}\\right)^{2} + \\frac{3y^{2}}{4} = 0\\Longrightarrow x = y = 0\\] \n\nSubstituting these values into the second equation, it yields a contradiction. For the second case, using the substitution \\(y = 2 - x\\) , we get \n\n\\[x^{2} + y^{2} = 2,\\] \\[x + y = 2.\\] \n\nFrom here we get: \\((x - 1)^{2} + (y - 1)^{2} = (x^{2} + y^{2}) - 2(x + y) + 2 = 2 - 4 + 2 = 0\\) Therefore \\(x = y = 1\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "On a table, there is an empty bag and a chessboard containing exactly one token on each square. Next to the table is a large pile that contains an unlimited supply of tokens. Using only the following types of moves what is the maximum possible number of tokens that can be in the bag? \n\n- Type 1: Choose a non-empty square on the chessboard that is not in the rightmost column. Take a token from this square and place it, along with one token from the pile, on the square immediately to its right. \n\n- Type 2: Choose a non-empty square on the chessboard that is not in the bottommost row. Take a token from this square and place it, along with one token from the pile, on the square immediately below it. \n\n- Type 3: Choose two adjacent non-empty squares. Remove a token from each and put them both into the bag.", "solution": "A: (Ishan Nath) \n\nLet \\(a_{i,j}\\) be the number of tokens in the square in the \\(i^{\\mathrm{th}}\\) row and \\(j^{\\mathrm{th}}\\) column, where the first row is the topmost row and the first column is the leftmost column. Furthermore let \\(b\\) denote the number of tokens in the bag. We define a monovariant as follows. \n\n\\[m = \\frac{3b}{2} +\\sum_{i = 1}^{8}\\sum_{j = 1}^{8}2^{16 - i - j}a_{i,j}\\] \n\nThis either stays the same, or decreases after each move, because: \n\n- If Ross plays a type 1 move, then \\(a_{i,j}\\) decreases by 1 and \\(a_{i,j + 1}\\) increases by 2 for some \\(i,j\\) . Thus \\(m\\) changes by \n\n\\[m^{\\prime} - m = 2^{16 - i - j}(-1) + 2^{16 - i - (j + 1)}(+2)\\] \\[\\qquad = 0.\\] \n\nHence \\(m\\) stays the same after type 1 moves. \n\n- If Ross plays a type 2 move, then \\(a_{i,j}\\) decreases by 1 and \\(a_{i + 1,j}\\) increases by 2 for some \\(i,j\\) . Thus \\(m\\) changes by \n\n\\[m^{\\prime} - m = 2^{16 - i - j}(-1) + 2^{16 - (i + 1) - j}(+2)\\] \\[\\qquad = 0.\\] \n\nHence \\(m\\) stays the same after type 2 moves. \n\n- If Ross plays a type 3 move, then \\(b\\) increases by 2 while \\(a_{i,j}\\) and \\(a_{i^{\\prime},j^{\\prime}}\\) both decrease by 1 for some \\(i,j,i^{\\prime},j^{\\prime}\\) . \n\n\\[m^{\\prime} - m = \\frac{3}{2} (+2) + 2^{16 - i - j}(-1) + 2^{16 - i^{\\prime} - j^{\\prime}}(-1)\\] \\[\\qquad \\leq \\frac{3}{2} (+2) + 2^{0}(-1) + 2^{1}(-1)\\] \\[\\qquad = 0.\\] \n\nHence \\(m\\) stays the same or decreases after these moves.\n\n\n\nAt the beginning, \n\n\\[m = \\frac{3b}{2} +\\sum_{i = 1}^{8}\\sum_{j = 1}^{8}2^{16 - i - j}a_{i,j}\\] \\[\\qquad = 0 + \\sum_{i = 1}^{8}\\sum_{j = 1}^{8}2^{16 - i - j}\\] \\[\\qquad = 0 + 2^{16}\\sum_{i = 1}^{8}2^{-i}\\sum_{j = 1}^{8}2^{-j}\\] \\[\\qquad = 0 + 2^{16}\\sum_{i = 1}^{8}2^{-i}(1 - 2^{-8})\\] \\[\\qquad = 0 + 2^{16}(1 - 2^{-8})(1 - 2^{-8})\\] \\[\\qquad = 65025.\\] \n\nTherefore at the end we must have \\(m \\leq 65025\\) . Thus we obtain \n\n\\[\\frac{3}{2} b \\leq m \\leq 65025 \\iff b \\leq 43350.\\] \n\nTo obtain equality we simply need to perform any strategy in which: \n\n- Moves of type 3 are only ever performed on either \\(a_{7,8}\\) and \\(a_{8,8}\\) , or \\(a_{8,7}\\) and \\(a_{8,8}\\) . \n\n- The chessboard is empty at the end of the game. \n\nNow consider a strategy in which we start by applying all moves of type 1 and type 2, until \\(a_{i,j} = 0\\) for all squares except for \\(a_{7,8}\\) , \\(a_{8,7}\\) and \\(a_{8,8}\\) . At this point we will have \\(a_{8,8} = 1\\) and since \\(m\\) is invariant, \n\n\\[65025 = 0 + a_{8,8} + 2a_{7,8} + 2a_{8,7} = 1 + 2(a_{7,8} + a_{8,7}).\\] \n\nThus \\(a_{7,8} + a_{8,7} = 32512\\) . Now perform 10837 further moves (either type 1 on \\(a_{7,8}\\) or type 2 on \\(a_{8,7}\\) ) so that we end up with a state in which: \n\n\\[\\cdot a_{7,8} + a_{8,7} = 32512 - 10837 = 21675,\\mathrm{and}\\] \n\n\\[\\cdot a_{8,8} = 1 + 2\\times 10837 = 21675.\\] \n\nFrom here we can finish by performing 21675 type 3 moves and obtain \\(b = 2 \\times 21675 = 43350\\) tokens in the bag.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "On a table, there is an empty bag and a chessboard containing exactly one token on each square. Next to the table is a large pile that contains an unlimited supply of tokens. Using only the following types of moves what is the maximum possible number of tokens that can be in the bag? \n\n- Type 1: Choose a non-empty square on the chessboard that is not in the rightmost column. Take a token from this square and place it, along with one token from the pile, on the square immediately to its right. \n\n- Type 2: Choose a non-empty square on the chessboard that is not in the bottommost row. Take a token from this square and place it, along with one token from the pile, on the square immediately below it. \n\n- Type 3: Choose two adjacent non-empty squares. Remove a token from each and put them both into the bag.", "solution": "B: (Michael Albert) \n\nFirst note that we may assume that all type 3 moves are performed after all the type 1 and type 2 moves have been made. WLOG We may also assume that all moves (type 1 and 2) into square \\((8,8)\\) occur all other type 1 and type 2 moves. \n\nClaim: In an optimal solution no type 3 move is made except from a pair including the lower right corner. \n\nProof: If we make one elsewhere, then we could first double each of those coins and move them to another adjacent pair of squares. Then we could perform two type 3 moves (in this new adjacent pair of squares) and get result in \\(+2\\) more coins in the bag. \\(\\square\\) \n\nFrom here it is clear that all the coins (except for the one that starts in \\((8,8)\\) ) must eventually move to either \\((7,8)\\) or \\((8,7)\\) . So there will be a point in which there is: \n\none coin on \\((8,8)\\) , \\(A\\) coins on \\((7,8)\\) , \\(B\\) coins on \\((8,7)\\) , and all other squares are empty. \n\nA coin starting in square \\((x,y)\\) will need to double \\((8 + 7 - x - y)\\) times on it's way to either \\((7,8)\\) or \\((8,7)\\) . Therefore \n\n\\[A + B = \\sum_{(x,y)\\neq (8,8)}2^{8 + 7 - x - y} = 2^{15}\\sum_{x = 1}^{8}2^{-x}\\sum_{y = 1}^{8}2^{-y} - 2^{-1} = 2^{-15}\\left(\\frac{2^{-9} - 2^{1}}{2^{-1} - 1}\\right)^{2} - \\frac{1}{2} = 32512.\\] \n\nNow let \\(m\\) be the number of type 1 and type 2 moves we make before we finish the game by making as many type 3 moves as possible. \n\nAfter these \\(m\\) moves there will be \\(2m + 1\\) coins on square \\((8,8)\\) . \n\nAfter these \\(m\\) moves there will be a total of \\(A + B - m = 32512 - m\\) coins on squares \\((7,8)\\) and \\((8,7)\\) . \n\nSo the maximum number of type 3 moves we can make is \n\n\\[M = \\min \\left(2m + 1,32512 - m\\right).\\] \n\nIf \\(m \\leq 10837\\) then \\(M = 2m + 1 \\leq 21675\\) . If \\(m \\geq 10837\\) then \\(M = 32512 - m \\leq 21675\\) . Hence the maximum occurs when \\(m = 10837\\) and so \\(M = 21675\\) type 3 moves are made.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "A round-robin tournament is one where each team plays every other team exactly once. Five teams take part in such a tournament getting: 3 points for a win, 1 point for a draw and 0 points for a loss. At the end of the tournament the teams are ranked from first to last according to the number of points. \n\n(a) Is it possible that at the end of the tournament, each team has a different number of points, and each team except for the team ranked last has exactly two more points than the next-ranked team? \n\n(b) Is this possible if there are six teams in the tournament instead?", "solution": ": (Ishan Nath) \n\nWe show the answer is no for five teams, and yes for six. \n\nFirst, we show five teams cannot have this property. Suppose the teams had points \\(x, x + 2, x + 4, x + 6, x + 8\\) in the final ranking. If there were \\(d\\) draws and \\(10 - d\\) decisive games, then the total number of points is \n\n\\[5x + 20 = x + (x + 2) + \\dots +(x + 8) = 2d + 3(10 - d) = 30 - d.\\] \n\nSince \\(0 \\leq d \\leq 10\\) , we have \n\n\\[20 \\leq 5x + 20 \\leq 30.\\] \n\nHence \\(x = 0,1\\) or 2. \n\n- If \\(x = 0\\) , then there are 20 points in total. Hence \\(d = 10\\) , so every match was a draw. However then every team would have 4 points, contradiction. \n\n- If \\(x = 2\\) , then there are 30 points in total. Hence \\(d = 0\\) , so every match was decisive. But this means every team should have a point total which is a multiple of 3, since they can earn either 0 or 3 points per game. However the lowest team has 2 points, contradiction. \n\n- If \\(x = 1\\) , then there are 25 points in total. Hence \\(d = 5\\) , meaning there are 5 draws and 5 decisive games. In this case, the teams had points \\(1,3,5,7,9\\) . \n\nConsider the total number of draws. For each team, the number of points satisfies \\(p = 3w + d\\) , where \\(p\\) is the number of points, \\(w\\) is the number of wins, and \\(d\\) is the number of draws. Hence the number of draws is equal to the number of points, modulo 3. \n\n- The team with 1 points has drawn at most once \n\n- The team with 3 points has drawn at most 3 times. \n\n- The team with 5 points has drawn at most 2 times, since they play 4 times. \n\n- The team with 7 points has drawn at most once. They cannot draw 4 times, otherwise they would have drawn every game, ending up with 4 points. \n\n- The team with 9 points cannot have drawn. Otherwise, they would have drawn at least 3 times, requiring 6 points from the remaining game, which is impossible. \n\nHence there are at most 7 draws. However, if 5 matches ended in draws, then there should be at least 10 draws, contradiction. \n\nAll of these options lead to contradictions, so the rankings cannot have each team having exactly two more points than the least.\n\n\n\nWith six teams it is possible: Take 6 teams, labeled 1 to 6. We assign the following matches: \n\nTeams 1 and 2 draw, teams 1 and 4 draw, and teams 4 and 5 draw. \n\nTeam 2 beats team 6. \n\nOtherwise, if \\(1 \\leq x < y \\leq 6\\) , then team \\(y\\) beats team \\(x\\) . \n\nThen team \\(i\\) has \\(2i\\) points, satisfying the condition.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let a positive integer \\(n\\) be given. Determine, in terms of \\(n\\) , the least positive integer \\(k\\) such that among any \\(k\\) positive integers, it is always possible to select a positive even number of them having sum divisible by \\(n\\) .", "solution": ": (Ethan Ng) \n\nFirst we consider the \\(n\\) odd case. If \\(n\\) is odd we claim the answer is \\(k = 2n\\) . \n\nLet the numbers be \\(x_{1}, x_{2}, x_{3}, \\ldots , x_{2n}\\) . Consider the following partial sums: \n\n\\[s_{1} = x_{1} + x_{2}\\] \\[s_{2} = x_{1} + x_{2} + x_{3} + x_{4}\\] \\[\\vdots\\] \\[s_{i} = x_{1} + x_{2} + x_{3} + \\dots +x_{2i}\\] \\[\\vdots\\] \\[s_{n} = x_{1} + x_{2} + x_{3} + x_{4} + \\dots +x_{2n}.\\] \n\nIf we have \\(s_{i} \\equiv 0\\) (mod \\(n\\) ) for any \\(i\\) , then we are done. Otherwise, by the Pigeonhole Principle we must have a pair of distinct indices \\(1 \\leq i < j \\leq n\\) such that \\(s_{i} \\equiv s_{j}\\) (mod \\(n\\) ). Thus we can construct: \n\n\\[x_{2i + 1} + x_{2i + 2} + \\dots +x_{2j} = s_{j} - s_{i} \\equiv 0 \\pmod {n}\\] \n\nas required. \n\nHowever if \\(k < 2n\\) then we could choose: \\(x_{1} = x_{2} = \\dots = x_{k} = 1\\) and so the sum of any non- empty subset would be a positive integer less than \\(2n\\) . So if this sum is a multiple of \\(n\\) then it must be equal to \\(n\\) , and so we must have selected \\(n\\) of them. But \\(n\\) is odd, so it is impossible to select an even number of them having sum divisible by \\(n\\) . \n\nNow we consider the \\(n\\) even case. If \\(n\\) is even we claim the answer is \\(k = n + 1\\) . \n\nLet \\(n = 2m\\) . By the Pigeonhole Principle, amongst any three positive integers we can choose two of them with the same parity. Therefore we can order the \\(k = 2m + 1\\) integers: \\(x_{1}, x_{2}, x_{3}, \\ldots , x_{2m + 1}\\) such that \n\n\\[a_{1} = \\frac{x_{1} + x_{2}}{2}, a_{2} = \\frac{x_{3} + x_{4}}{2}, \\ldots a_{m} = \\frac{x_{2m - 1} + x_{2m}}{2}\\] \n\nare all integers. This can be done by iteratively choosing \\(x_{2i - 1}\\) and \\(x_{2i}\\) so that they have the same parity. Now consider the partial sums: \n\n\\[t_{1} = a_{1\\] \\[t_{2} = a_{1} + a_{2\\] \\[t_{3} = a_{1} + a_{2} + a_{3\\] \\[\\qquad \\vdots\\] \\[t_{m} = a_{1} + a_{2} + a_{3} + \\dots +a_{m}.\\]\n\n\n\nIf any \\(t_{i}\\) were a multiple of \\(m\\) then we would have \\(2t_{i} = x_{1} + x_{2} + x_{3} + \\dots + x_{2i}\\) being a multiple of \\(2m\\) . Otherwise consider the \\(m\\) pigeons \\((t_{1},\\ldots t_{m})\\) and the \\(m - 1\\) pigeonholes (the non- zero residues mod \\(m\\) ). By the Pigeonhole Principle we can find indices \\(1\\leq i<\\) \\(j\\leq m\\) such that \\(t_{i}\\equiv t_{j}\\) (mod \\(m\\) ). Therefore \n\n\\[a_{i + 1} + a_{i + 2} + \\dots +a_{j} = t_{j} - t_{i}\\equiv 0(\\mathrm{mod} m).\\] \n\nThus \\((x_{2i + 1} + \\dots +x_{2j}) / 2\\) is a multiple of \\(m\\) and hence \\(x_{2i + 1} + \\dots +x_{2j}\\) is a multiple of \\(2m = n\\) . \n\nHowever if \\(k\\leq n\\) then we could choose: \\(x_{1} = n\\) and \\(x_{2} = \\dots = x_{k} = 1\\) and so the sum of any non- empty subset would be a positive integer at most \\(2n - 1\\) . So if this sum is a multiple of \\(n\\) then it must be equal to \\(n\\) . However the only way to achieve a sum of \\(n\\) is to only select \\(x_{1}\\) which is not selecting an even number of numbers. \n\nComment It is possible to come up with optimal constructions in which the \\((x_{i})\\) are all different. For example when \\(n\\) is odd choose: \n\n\\[(x_{1},x_{2},x_{3},\\ldots ,x_{k}) = (n + 1,2n + 1,3n + 1,\\ldots ,kn + 1).\\] \n\nAnd when \\(n\\) is even we can choose: \n\n\\[(x_{1},x_{2},x_{3},\\ldots ,x_{k}) = (n,2n + 1,3n + 1,\\ldots ,kn + 1).\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} -{"year": "2022", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(M\\) be the midpoint of side \\(BC\\) of acute triangle \\(ABC\\) . The circle centered at \\(M\\) passing through \\(A\\) intersects the lines \\(AB\\) and \\(AC\\) again at \\(P\\) and \\(Q\\) , respectively. The tangents to this circle at \\(P\\) and \\(Q\\) meet at \\(D\\) . Prove that the perpendicular bisector of \\(BC\\) bisects segment \\(AD\\) .", "solution": "A: (Ross Atkins) \n\nLet \\(F\\) be the point on the circle such that \\(AF\\) is a diameter. So \\(M\\) is the midpoint of \\(AF\\) . Now let \\(E \\neq F\\) be the point on the circle such that \\(D, E, F\\) are colinear. This means \\(\\angle AEF = 90^\\circ\\) by Thales' theorem. \n\n![](data:image/jpeg;base64,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)\n \n\nBy the Power of a Point Theorem we get \\(DP^2 = DE \\times DF = DQ^2\\) . Therefore we have two pairs of similar triangles: \\(EPD \\sim PFD\\) and \\(EQD \\sim QFD\\) . Hence \n\n\\[\\frac{EP}{PF} = \\frac{PD}{FD} = \\frac{QD}{FD} = \\frac{EQ}{QF}.\\] \n\ni.e. \\(EPFQ\\) is a harmonic quadrilateral. Now apply the extended sine rule to get: \n\n\\[\\frac{\\sin\\angle BAM}{\\sin\\angle MAC} = \\frac{\\sin\\angle PAF}{\\sin\\angle FAQ} = \\frac{PF}{FQ} = \\frac{PE}{EQ} = \\frac{\\sin\\angle PAE}{\\sin\\angle QAE} = \\frac{\\sin\\angle BAE}{\\sin\\angle CAE}.\\] \n\nSince \\(\\frac{\\sin\\angle BAM}{\\sin\\angle MAC} = \\frac{\\sin\\angle BAE}{\\sin\\angle CAE}\\) , and \\(M\\) is the midpoint of \\(BC\\) , this means \\(AE\\) is parallel to \\(BC\\) . Hence the perpendicular bisector of \\(BC\\) is parallel to line \\(DEF\\) . \n\nNow let \\(N\\) be the midpoint of \\(AD\\) . By midpoint theorem in triangle \\(AFD\\) we get \\(NM \\parallel DF\\) and therefore \\(N\\) lies on the perpendicular bisector of \\(BC\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} +{"year": "2022", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(M\\) be the midpoint of side \\(BC\\) of acute triangle \\(ABC\\) . The circle centered at \\(M\\) passing through \\(A\\) intersects the lines \\(AB\\) and \\(AC\\) again at \\(P\\) and \\(Q\\) , respectively. The tangents to this circle at \\(P\\) and \\(Q\\) meet at \\(D\\) . Prove that the perpendicular bisector of \\(BC\\) bisects segment \\(AD\\) .", "solution": "A: (Ross Atkins) \n\nLet \\(F\\) be the point on the circle such that \\(AF\\) is a diameter. So \\(M\\) is the midpoint of \\(AF\\) . Now let \\(E \\neq F\\) be the point on the circle such that \\(D, E, F\\) are colinear. This means \\(\\angle AEF = 90^\\circ\\) by Thales' theorem. \n\n![md5:ee425924127a8ada879bc0c84441f1ec](ee425924127a8ada879bc0c84441f1ec.jpeg)\n \n\nBy the Power of a Point Theorem we get \\(DP^2 = DE \\times DF = DQ^2\\) . Therefore we have two pairs of similar triangles: \\(EPD \\sim PFD\\) and \\(EQD \\sim QFD\\) . Hence \n\n\\[\\frac{EP}{PF} = \\frac{PD}{FD} = \\frac{QD}{FD} = \\frac{EQ}{QF}.\\] \n\ni.e. \\(EPFQ\\) is a harmonic quadrilateral. Now apply the extended sine rule to get: \n\n\\[\\frac{\\sin\\angle BAM}{\\sin\\angle MAC} = \\frac{\\sin\\angle PAF}{\\sin\\angle FAQ} = \\frac{PF}{FQ} = \\frac{PE}{EQ} = \\frac{\\sin\\angle PAE}{\\sin\\angle QAE} = \\frac{\\sin\\angle BAE}{\\sin\\angle CAE}.\\] \n\nSince \\(\\frac{\\sin\\angle BAM}{\\sin\\angle MAC} = \\frac{\\sin\\angle BAE}{\\sin\\angle CAE}\\) , and \\(M\\) is the midpoint of \\(BC\\) , this means \\(AE\\) is parallel to \\(BC\\) . Hence the perpendicular bisector of \\(BC\\) is parallel to line \\(DEF\\) . \n\nNow let \\(N\\) be the midpoint of \\(AD\\) . By midpoint theorem in triangle \\(AFD\\) we get \\(NM \\parallel DF\\) and therefore \\(N\\) lies on the perpendicular bisector of \\(BC\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(M\\) be the midpoint of side \\(BC\\) of acute triangle \\(ABC\\) . The circle centered at \\(M\\) passing through \\(A\\) intersects the lines \\(AB\\) and \\(AC\\) again at \\(P\\) and \\(Q\\) , respectively. The tangents to this circle at \\(P\\) and \\(Q\\) meet at \\(D\\) . Prove that the perpendicular bisector of \\(BC\\) bisects segment \\(AD\\) .", "solution": "B: (Ishan Nath) \n\nAs in the previous solution, let \\(F\\) be the point on the circle such that \\(AF\\) is a diameter. Notice that \n\n\\[\\angle B P F = 90^{\\circ} = \\angle M P D,\\] \n\nwhere the first equality follows from Thales' theorem, and the second follows as \\(PD\\) is tangent to a circle with center \\(M\\) . We also have \n\n\\[\\angle P B F = \\angle B A C = \\angle P A Q = \\frac{\\angle P M Q}{2} = \\angle P M D,\\] \n\nsince \\(C A B F\\) is a parallelogram (because the diagonals bisect each other at \\(M\\) ) and \\(\\angle P M Q = 2\\angle P M D\\) (because \\(P M Q D\\) is a kite). This implies that the triangles \\(P B F\\) and \\(P M D\\) are similar. Since they are also similarly oriented, we can use similar switch to deduce that triangles \\(P B M\\) and \\(P F D\\) are similar. \n\nConsider rotation at \\(P\\) , followed by scaling, that takes triangle \\(P B M\\) to \\(P F D\\) . Since \\(\\angle B P F = 90^{\\circ}\\) , the rotation must be \\(90^{\\circ}\\) . However this means the transformation taking \\(B M\\) to \\(F D\\) must rotate \\(B M\\) by \\(90^{\\circ}\\) , implying \\(B M\\) and \\(F D\\) are perpendicular. \n\nFinally, letting \\(N\\) be the midpoint of \\(A D\\) , we get \\(N M \\parallel D F \\perp B C\\) by the midpoint theorem. So \\(N\\) lies on the perpendicular bisector of \\(B C\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all real numbers \\(x\\) such that \\(-1 < x \\leq 2\\) and \n\n\\[\\sqrt{2 - x} + \\sqrt{2 + 2x} = \\sqrt{\\frac{x^{4} + 1}{x^{2} + 1}} +\\frac{x + 3}{x + 1}.\\]", "solution": ": (Viet Hoang) \n\nNotice that we are solving for \\(x\\) in the domain \\(- 1 < x \\leq 2\\) . Using Cauchy- Schwarz Inequality on the left hand side, one has \n\n\\[\\sqrt{2 - x} + \\sqrt{2 + 2x} = \\sqrt{\\frac{1}{2}\\cdot(4 - 2x) + \\sqrt{2 + 2x}}\\leq \\sqrt{\\left(\\frac{1}{2} + 1\\right)(2 + 2x + 4 - 2x)} = 3.\\] \n\nUsing the fact that \\(x^{4} + 1 \\geq 2x^{2}\\) (because \\((x^{2} - 1)^{2} \\geq 0\\) ) and \\(x^{2} + 1 \\geq 2x\\) (because \\((x - 1)^{2} \\geq 0\\) we can get: \n\n\\[2(x^{4} + 1) \\geq (x^{2} + 1)^{2} \\geq (x^{2} + 1) \\frac{(x + 1)^{2}}{2}.\\] \n\nIf we substitute this into the right- hand side we get \n\n\\[\\sqrt{\\frac{x^{4} + 1}{x^{2} + 1}} +\\frac{x + 3}{x + 1} \\geq \\frac{x + 1}{2} +\\frac{x + 3}{x + 1} = \\frac{x + 1}{2} +\\frac{2}{x + 1} +1.\\] \n\nFinally applying the AM- GM again for 2 positive numbers \\(\\frac{x + 1}{2}\\) and \\(\\frac{2}{x + 1}\\) we obtain \\(\\frac{x + 1}{2} + \\frac{2}{x + 1} \\geq 2\\) . Thus the right- hand side is \\(\\geq 3\\) . \n\nTherefore, we can see that equality must occur in our AM- GM inequality and hence, \\(\\frac{x + 1}{2} = \\frac{2}{x + 1} \\Rightarrow x = 1\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2022_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl index ddf1da7f8fb04a943f5cd9da3212fc05b5ae88f4..6c94b1a9dd3fe654a89521c94c1711fec4c770a1 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl @@ -1,9 +1,9 @@ {"year": "2023", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "There are 2023 employees in the office, each of them knowing exactly 1686 of the others. For any pair of employees they either both know each other or both don't know each other. Prove that we can find 7 employees each of them knowing all 6 others.", "solution": "A: (Ross Atkins) \n\nIf every person knows 1686 others then for each person, there are \\(2023 - 1686 - 1 = 336\\) people that they don't know. Now consider any group of \\(p\\) people from the office. There will be at most \\(336p\\) people who don't know someone in the group (336 for each person in the group). Therefore there are at least \\((2023 - p) - 336p\\) people not in the group who know everyone in the group. If \\(p \\leq 6\\) then \n\n\\[(2023 - p) - 336p \\geq (2023 - 6) - 336 \\times 6 = 1.\\] \n\nSo for any group of at most 6 people, there exists at least one person not in the group that knows everyone in the group. Hence we perform the following process. \n\n- Start with a random group of \\(p = 2\\) people who know each other, and then- while \\(p \\leq 6\\) choose a person who knows all the current members of the group (at random) and add them to the group. \n\nThis process ends with a group of 7 people each knowing everyone in the group.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "There are 2023 employees in the office, each of them knowing exactly 1686 of the others. For any pair of employees they either both know each other or both don't know each other. Prove that we can find 7 employees each of them knowing all 6 others.", "solution": "B: (Ishan Nath) \n\nWe will show by induction that, for non- negative integers \\(k\\) and \\(n > 0\\) , if there are \\(nk + 1\\) people such that any of them know at least \\(n(k - 1) + 1\\) of the others, then there are \\(k + 1\\) people who all know each other. For \\(k = 0\\) this is true, as we have one person. \n\nNow assume this is true for some integer \\(k\\) . Among any \\(n(k + 1) + 1\\) people who all know at least \\(nk + 1\\) of the others, pick an arbitrary person \\(P\\) , and a set \\(\\mathcal{S}\\) of \\(nk + 1\\) people that \\(P\\) knows. \n\nFor any person in \\(\\mathcal{S}\\) , they must know at least \\(n(k - 1) + 1\\) others in \\(\\mathcal{S}\\) , as there are exactly \\(n\\) people outside of \\(\\mathcal{S}\\) , and they know at least \\(nk + 1\\) people in total. Hence by our induction hypothesis, \\(\\mathcal{S}\\) contains \\(k + 1\\) people who all know each other. \n\nAs \\(P\\) knows everyone in \\(\\mathcal{S}\\) , including \\(P\\) gives a group of \\(k + 2\\) people who all know each other, proving our inductive result. \n\nNow letting \\(n = 337\\) and \\(k = 6\\) , we get the desired result.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} -{"year": "2023", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a parallelogram, and let \\(P\\) be a point on the side \\(AB\\) . Let the line through \\(P\\) parallel to \\(BC\\) intersect the diagonal \\(AC\\) at point \\(Q\\) . Prove that \n\n\\[|D A Q|^{2} = |P A Q|\\times |B C D|,\\] \n\nwhere \\(|X Y Z|\\) denotes the area of triangle \\(X Y Z\\) .", "solution": ": (Kevin Shen) \n\n![](data:image/jpeg;base64,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)\n \n\nSince \\(PQ\\) is parallel to \\(BC\\) , there is a dilation (centred at \\(A\\) ) of factor \\(AB / AP\\) that sends triangle \\(APQ\\) to triangle \\(ABC\\) . Thus \n\n\\[|P A Q| = |A B C|\\times \\left(\\frac{A P}{A B}\\right)^{2}.\\] \n\nSince \\(AD\\) is parallel to \\(BC\\) , triangle \\(ABC\\) has the same height as triangle \\(BCD\\) . Triangles \\(ABC\\) and \\(BCD\\) also have a common base, so \\(|ABC| = |BCD|\\) . Similarly \\(|DAQ| = |DAP|\\) (because \\(PQ||AD\\) and \\(AD\\) is a common base). \n\n\\[\\therefore |D A P| = |D A B|\\times \\frac{A P}{A B}\\] \\[\\qquad = |B C D|\\times \\frac{A P}{A B}\\] \\[\\qquad |D A P|^{2} = |B C D|\\times |B C D|\\times \\left(\\frac{A P}{A B}\\right)^{2}\\] \\[\\qquad = |B C D|\\times |P A Q|\\qquad \\mathrm{(diagonal~splits~parallelograms~in~half)}\\] \\[\\qquad = |B C D|\\times |P A Q|\\qquad \\mathrm{(because~}|P A Q| = |A B C|(A P / A B)^{2})\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} +{"year": "2023", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a parallelogram, and let \\(P\\) be a point on the side \\(AB\\) . Let the line through \\(P\\) parallel to \\(BC\\) intersect the diagonal \\(AC\\) at point \\(Q\\) . Prove that \n\n\\[|D A Q|^{2} = |P A Q|\\times |B C D|,\\] \n\nwhere \\(|X Y Z|\\) denotes the area of triangle \\(X Y Z\\) .", "solution": ": (Kevin Shen) \n\n![md5:cdae9d3b66e0b8123c8caf5b33b228b3](cdae9d3b66e0b8123c8caf5b33b228b3.jpeg)\n \n\nSince \\(PQ\\) is parallel to \\(BC\\) , there is a dilation (centred at \\(A\\) ) of factor \\(AB / AP\\) that sends triangle \\(APQ\\) to triangle \\(ABC\\) . Thus \n\n\\[|P A Q| = |A B C|\\times \\left(\\frac{A P}{A B}\\right)^{2}.\\] \n\nSince \\(AD\\) is parallel to \\(BC\\) , triangle \\(ABC\\) has the same height as triangle \\(BCD\\) . Triangles \\(ABC\\) and \\(BCD\\) also have a common base, so \\(|ABC| = |BCD|\\) . Similarly \\(|DAQ| = |DAP|\\) (because \\(PQ||AD\\) and \\(AD\\) is a common base). \n\n\\[\\therefore |D A P| = |D A B|\\times \\frac{A P}{A B}\\] \\[\\qquad = |B C D|\\times \\frac{A P}{A B}\\] \\[\\qquad |D A P|^{2} = |B C D|\\times |B C D|\\times \\left(\\frac{A P}{A B}\\right)^{2}\\] \\[\\qquad = |B C D|\\times |P A Q|\\qquad \\mathrm{(diagonal~splits~parallelograms~in~half)}\\] \\[\\qquad = |B C D|\\times |P A Q|\\qquad \\mathrm{(because~}|P A Q| = |A B C|(A P / A B)^{2})\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find the sum of the smallest and largest possible values for \\(x\\) which satisfy the following equation. \n\n\\[9^{x + 1} + 2187 = 3^{6x - x^{2}}\\]", "solution": ": (Viet Hoang) \n\nFirst we prove that the given equation has at least one root. To do this we consider the following function. \n\n\\[f(x) = 9^{x + 1} + 2187 - 3^{6x - x^{2}}\\] \n\nNote that this function is continuous. Note also that \\(f(0) = 9 + 2197 - 1 > 0\\) and \\(f(3) = 9^{4} + 2187 - 3^{9}< 0\\) . Therefore by the intermediate value theorem there exists a real number \\(0< z< 3\\) such that \\(f(z) = 0\\) . Therefore there is at least one value \\(x\\) which satisfies the equation. \n\nNext, we can rewrite the equation in the following form \n\n\\[3^{x} + 3^{5 - x} = 3^{x(5 - x) - 2} \\quad (1)\\] \n\nLet \\(r\\) and \\(s\\) be any two numbers such that \\(r + s = 5\\) . Notice that if \\(r\\) is a root of 1 then \\(s\\) must also be a root (and vice versa). This is because \n\n\\[3^{r} + 3^{5 - r} = 3^{5 - s} + 3^{s}\\qquad \\mathrm{and}\\qquad 3^{r(5 - r) - 2} = 3^{(5 - s)s - 2}.\\] \n\nNow we claim that if \\(x_{0}\\) is the smallest root of 1, then \\((5 - x_{0})\\) must be the largest root. Indeed if \\(x_{1}\\) were a root of 1 greater than \\((5 - x_{0})\\) , then \\((5 - x_{1})\\) would also have to be a root, but \\((5 - x_{1})< (5 - (5 - x_{0})) = x_{0}\\) and this would contradict the fact that \\(x_{0}\\) is the smallest root. \n\nTherefore, the sum of the largest and the smallest roots of 1 is \\(x_{0} + (5 - x_{0}) = 5\\)", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(p\\) be a prime and let \\(f(x) = ax^{2} + bx + c\\) be a quadratic polynomial with integer coefficients such that \\(0 < a, b, c \\leq p\\) . Suppose \\(f(x)\\) is divisible by \\(p\\) whenever \\(x\\) is a positive integer. Find all possible values of \\(a + b + c\\) .", "solution": ": (James Xu) \n\nFirst substitute \\(x = p\\) , to get \\(p \\mid ap^{2} + bp + c\\) so \\(p \\mid c\\) . Therefore \\(c = p\\) . Next substitute \\(x = 1\\) , to get \\(p \\mid a + b + c\\) . Since \\(c = p\\) , this gives us \\(p \\mid a + b\\) . Finally substitute \\(x = p - 1\\) , to get \\((p - 1)^{2}a - (p - 1)b + c \\equiv 0\\) (mod \\(p\\) ). Thus \\(a - b + c \\equiv 0\\) (mod \\(p\\) ), and since \\(c = p\\) , we get \\(p \\mid a - b\\) . Adding and subtracting \\(p \\mid a + b\\) and \\(p \\mid a - b\\) we get \n\n\\[p \\mid (a + b) + (a - b) = 2a \\qquad \\text{and} \\qquad p \\mid (a + b) - (a - b) = 2b.\\] \n\nNow there are two cases: either \\(p = 2\\) or \\(p\\) is odd. \n\nCase \\(1 p = 2\\) \n\n2 \\(|a - b\\) means that either \\(a = b = 1\\) or \\(a = b = 2\\) , i.e. the only two possibilities for \\((a,b,c)\\) are \\((1,1,2)\\) and \\((2,2,2)\\) . So the only candidate polynomials are \n\n\\[x^{2} + x + 2\\qquad \\mathrm{and}\\qquad 2x^{2} + 2x + 2.\\] \n\nNow we check that these work. If \\(f(x) = x^{2} + x + 2 = 2 + x(x + 1)\\) which is always even because both 2 and \\(x(x + 1)\\) are even for all integers \\(x\\) . If \\(f(x) = 2x^{2} + 2x + 2 = 2(x^{2} + x + 1)\\) which is always even because it has a factor of 2. \n\nCase \\(2 p\\) is an odd prime: \n\nSince \\((2,p) = 1\\) , \\(p \\mid a\\) so \\(a = p\\) . Also note that \\(p \\mid 2b\\) by subtracting \\(a - b\\) from \\(a + b\\) , so by a similar argument, \\(b = p\\) . Thus, \\(a + b + c = p + p + p = 3p\\) \n\nCombining the two cases, \\(a + b + c = 3p\\) for all \\(p\\) and \\(a + b + c = 4\\) when \\(p = 2\\) are the only possible values of \\(a + b + c\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all triples \\((a,b,n)\\) of positive integers such that \\(a\\) and \\(b\\) are both divisors of \\(n\\) , and \\(a + b = \\frac{n}{2}\\) .", "solution": ": (James Xu) \n\nSince \\(a\\) and \\(b\\) are both factors of \\(n\\) , we can find positive integers \\(x\\) and \\(y\\) such that \\(a = \\frac{n}{x}\\) and \\(b = \\frac{n}{y}\\) . Then \\(\\frac{n}{x} +\\frac{n}{y} = \\frac{n}{2}\\) so \n\n\\[\\frac{1}{x} +\\frac{1}{y} = \\frac{1}{2}.\\] \n\nWithout loss of generality assume \\(a\\leqslant b\\) . So \\(x\\geqslant y\\) and \\(\\frac{1}{x}\\leqslant \\frac{1}{y}\\) and thus \n\n\\[\\frac{2}{y}\\geqslant \\frac{1}{x} +\\frac{1}{y} = \\frac{1}{2}.\\] \n\nTherefore \\(y\\leqslant 4\\) . So we try \\(y = 1,2,3,4\\) one- by- one. \n\nCase 1 \\(y = 1\\) : \n\nThis implies \\(\\frac{1}{x} = \\frac{1}{2} - \\frac{1}{y} = 0\\) thus \\(x = - 2\\) . This doesn't work because \\(a\\) (and therefore \\(x\\) ) must be positive. \n\nCase 2 \\(y = 2\\) : \n\nThis implies \\(\\frac{1}{x} = \\frac{1}{2} - \\frac{1}{y} = 0\\) which is not possible. \n\nCase 3 \\(y = 3\\) : \n\nThis implies \\(\\frac{1}{x} = \\frac{1}{2} - \\frac{1}{y} = \\frac{1}{6}\\) and thus \\(x = 6\\) . This means that \\(n\\) must be a multiple of 6. Now let \\(n = 6k\\) , and we get \n\n\\[a = \\frac{n}{x} = \\frac{6k}{6} = k\\qquad \\mathrm{and}\\qquad b = \\frac{n}{y} = \\frac{6k}{3} = 2k.\\] \n\nThis yields the family of solutions \\((a,b,n) = (k,2k,6k)\\) where \\(k\\) is any positive integer. \n\nCase 4 \\(y = 4\\) : \n\nThis implies \\(\\frac{1}{x} = \\frac{1}{2} - \\frac{1}{y} = \\frac{1}{4}\\) and thus \\(x = 4\\) . This means that \\(n\\) must be a multiple of 4. Now let \\(n = 4k\\) , and we get \n\n\\[a = \\frac{n}{x} = \\frac{4k}{4} = k\\qquad \\mathrm{and}\\qquad b = \\frac{n}{y} = \\frac{4k}{4} = k.\\] \n\nThis yields the family of solutions \\((a,b,n) = (k,k,4k)\\) where \\(k\\) is any positive integer. \n\nRemember that we assumed \\(a\\leqslant b\\) so we still need to swap the roles of \\(a\\) and \\(b\\) for our final answer. So in summary, the triples \\((a,b,n)\\) which satisfy the given equation are \n\n\\[(k,2k,6k),(2k,k,6k)\\mathrm{~and~}(k,k,4k)\\] \n\nwhere \\(k\\) is any positive integer.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} -{"year": "2023", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let triangle \\(ABC\\) be right-angled at \\(A\\) . Let \\(D\\) be the point on \\(AC\\) such that \\(BD\\) bisects angle \\(\\angle ABC\\) . Prove that \\(BC - BD = 2AB\\) if and only if \\(\\frac{1}{BD} - \\frac{1}{BC} = \\frac{1}{2AB}\\) .", "solution": ": (Kevin Shen) \n\nWlog let \\(AB = 1\\) and \\(BC = a\\) . Also let \\(BD = x\\) . We will try to find all the lengths in the diagram in terms of \\(a\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nBy Pythagoras in \\(\\triangle ABC\\) we get \\(AC = \\sqrt{a^2 - 1}\\) . By the angle- bisector theorem we get \\(\\frac{AD}{DC} = \\frac{AB}{BC} = \\frac{1}{a}\\) , and so \\(DC = a \\times AD\\) . This can be substituted into \\(AD + DC = AC = \\sqrt{a^2 - 1}\\) to get \\(AD(1 + a) = \\sqrt{a^2 - 1}\\) . Therefore \n\n\\[AD = \\frac{AC}{1 + a} = \\frac{\\sqrt{a^2 - 1}}{a + 1}.\\] \n\nHence \\(AD^2 = \\frac{a^2 - 1}{(a + 1)^2} = \\frac{a - 1}{a + 1}\\) . Now consider Pythagoras in triangle \\(\\triangle BAD\\) . \n\n\\[x^{2} = 1^{2} + AD^{2} = 1 + \\frac{a - 1}{a + 1} = \\frac{2a}{a + 1}.\\] \n\nNow we do the two directions of the 'if and only if' separately: \n\nFirst, assuming \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) we get \\(x = \\frac{2a}{a + 2}\\) . Hence \n\n\\[\\frac{2a}{a + 1} = x^2 = \\left(\\frac{2a}{a + 2}\\right)^2 = \\frac{4a^2}{a^2 + 4a + 4}\\] \n\n\\[a^{2} + 4a + 4 = 2a(a + 1)\\] \n\n\\[0 = a^{2} - 2a - 4\\] \n\nSo by the quadratic formula we get \\(a = 1 \\pm \\sqrt{5}\\) but since \\(a > 0\\) we must have \\(a = 1 + \\sqrt{5}\\) . \n\nTherefore \\(x = \\frac{2a}{a + 2} = \\frac{2(1 + \\sqrt{5})}{(1 + \\sqrt{5}) + 2} = \\sqrt{5} - 1\\) . \n\n\\[\\therefore a - x = (1 + \\sqrt{5}) - (\\sqrt{5} -1) = 2.\\] \n\nSo \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) implies \\(a - x = 2\\) . \n\nSecond, assuming \\(a - x = 2\\) we get \\(x = a - 2\\) . Hence \n\n\\[\\frac{2a}{a + 1} = x^2 = (a - 2)^2 = a^2 -4a + 4\\] \n\n\\[2a = (a^2 -4a + 4)(a + 1)\\] \n\n\\[0 = a^3 -3a^2 -2a + 4\\] \n\n\\[0 = (a - 1)(a^2 -2a - 4)\\] \n\nSince \\(a - x = 2\\) we have \\(a > 2\\) so \\((a - 1) \\neq 0\\) and thus \\(a^2 - 2a - 4 = 0\\) . This gives us \\(a = 1 + \\sqrt{5}\\) and so again \\(x = a - 2 = \\sqrt{5} - 1\\) . \n\n\\[\\therefore \\frac{1}{x} - \\frac{1}{a} = \\frac{1}{\\sqrt{5} - 1} - \\frac{1}{\\sqrt{5} + 1} = \\frac{1}{2}.\\] \n\nSo \\(a - x = 2\\) implies \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) . \n\nIn summary \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) is equivalent to \\(a - x = 2\\) .\n\n\n\n**Solution B:** (Celine Yuan) \n\nLet \\(E\\) be the foot of the perpendicular from \\(D\\) to \\(BC\\) . Note that \\(E\\) is the reflection of \\(A\\) about \\(BD\\) (because \\(BD\\) is an angle bisector) and so we have congruent triangles \\(\\triangle ABD \\equiv \\triangle EBD\\) . Also construct point \\(N\\) on side \\(BC\\) to be the reflection of \\(B\\) about line \\(DE\\) . So we have three congruent triangles: \n\n\\[\\triangle ABD\\equiv \\triangle EBD\\equiv \\triangle END.\\] \n\nTherefore \\(AB = EB = EN\\) and hence \\(2AB = BE + EN = BN\\) . We also get \\(BD = DN\\) . Let \\(F\\) be the point on line \\(BC\\) such \\(BD = BF\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nAssume \\(BC - BD = 2AB\\) . Since \\(BD = DN\\) and \\(2AB = BN\\) we can get \\(BC - DN = BN\\) . Therefore \n\n\\[DN = BC - BN = CN\\] \n\nand so triangle \\(DNC\\) is isosceles. Now let \\(\\theta = \\angle BCA\\) . Since \\(\\triangle DNC\\) is isosceles, we get \\(\\angle CDN = \\theta\\) and thus \\(\\angle END = 2\\theta\\) . Therefore \\(\\angle EBD = 2\\theta\\) and \\(\\angle DBA = 2\\theta\\) and thus \\(\\angle CBA = 4\\theta\\) . Thus \n\n\\[90^{\\circ} = \\angle BCA + \\angle CBA = \\theta +4\\theta .\\] \n\nHence \\(\\theta = 18^{\\circ}\\) . Therefore \n\n\\[\\frac{AB}{BD} = \\cos (\\angle ABD) = \\cos (2\\theta) = \\cos (36^{\\circ}) = \\frac{1 + \\sqrt{5}}{4}\\] \n\n\\[\\mathrm{and}\\quad \\frac{BC}{BD} = \\frac{\\sin(\\angle CDB)}{\\sin(\\angle BCD)} = \\frac{\\sin(126^{\\circ})}{\\sin(\\angle 18^{\\circ})} = \\frac{\\sqrt{5} + 1}{\\sqrt{5} - 1}\\] \n\nTherefore \\(1 - \\frac{BD}{BC} = 1 - \\frac{\\sqrt{5} - 1}{\\sqrt{5} + 1} = \\frac{2}{\\sqrt{5} + 1} = \\frac{BD}{2AB}\\) . Hence \n\n\\[\\frac{1}{BD} -\\frac{1}{BC} = \\frac{1}{2AB}\\] \n\nas required. \n\n- If \\(BC - BD > 2AB\\) then using similar logic we can get \\(\\angle BCA < 18^{\\circ}\\) which implies \n\n\\[\\frac{1}{BD} -\\frac{1}{BC} < \\frac{1}{2AB}\\] \n\n- Conversely if \\(BC - BD < 2AB\\) then we get \\(\\angle BCA > 18^{\\circ}\\) which implies \n\n\\[\\frac{1}{BD} -\\frac{1}{BC} >\\frac{1}{2AB}\\] \n\nTherefore we conclude that \\(BC - BD > 2AB\\) if and only if \\(\\frac{1}{BD} - \\frac{1}{BC} < \\frac{1}{2AB}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} +{"year": "2023", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let triangle \\(ABC\\) be right-angled at \\(A\\) . Let \\(D\\) be the point on \\(AC\\) such that \\(BD\\) bisects angle \\(\\angle ABC\\) . Prove that \\(BC - BD = 2AB\\) if and only if \\(\\frac{1}{BD} - \\frac{1}{BC} = \\frac{1}{2AB}\\) .", "solution": ": (Kevin Shen) \n\nWlog let \\(AB = 1\\) and \\(BC = a\\) . Also let \\(BD = x\\) . We will try to find all the lengths in the diagram in terms of \\(a\\) . \n\n![md5:86fb48b6187867498a80e4879e3dfa06](86fb48b6187867498a80e4879e3dfa06.jpeg)\n \n\nBy Pythagoras in \\(\\triangle ABC\\) we get \\(AC = \\sqrt{a^2 - 1}\\) . By the angle- bisector theorem we get \\(\\frac{AD}{DC} = \\frac{AB}{BC} = \\frac{1}{a}\\) , and so \\(DC = a \\times AD\\) . This can be substituted into \\(AD + DC = AC = \\sqrt{a^2 - 1}\\) to get \\(AD(1 + a) = \\sqrt{a^2 - 1}\\) . Therefore \n\n\\[AD = \\frac{AC}{1 + a} = \\frac{\\sqrt{a^2 - 1}}{a + 1}.\\] \n\nHence \\(AD^2 = \\frac{a^2 - 1}{(a + 1)^2} = \\frac{a - 1}{a + 1}\\) . Now consider Pythagoras in triangle \\(\\triangle BAD\\) . \n\n\\[x^{2} = 1^{2} + AD^{2} = 1 + \\frac{a - 1}{a + 1} = \\frac{2a}{a + 1}.\\] \n\nNow we do the two directions of the 'if and only if' separately: \n\nFirst, assuming \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) we get \\(x = \\frac{2a}{a + 2}\\) . Hence \n\n\\[\\frac{2a}{a + 1} = x^2 = \\left(\\frac{2a}{a + 2}\\right)^2 = \\frac{4a^2}{a^2 + 4a + 4}\\] \n\n\\[a^{2} + 4a + 4 = 2a(a + 1)\\] \n\n\\[0 = a^{2} - 2a - 4\\] \n\nSo by the quadratic formula we get \\(a = 1 \\pm \\sqrt{5}\\) but since \\(a > 0\\) we must have \\(a = 1 + \\sqrt{5}\\) . \n\nTherefore \\(x = \\frac{2a}{a + 2} = \\frac{2(1 + \\sqrt{5})}{(1 + \\sqrt{5}) + 2} = \\sqrt{5} - 1\\) . \n\n\\[\\therefore a - x = (1 + \\sqrt{5}) - (\\sqrt{5} -1) = 2.\\] \n\nSo \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) implies \\(a - x = 2\\) . \n\nSecond, assuming \\(a - x = 2\\) we get \\(x = a - 2\\) . Hence \n\n\\[\\frac{2a}{a + 1} = x^2 = (a - 2)^2 = a^2 -4a + 4\\] \n\n\\[2a = (a^2 -4a + 4)(a + 1)\\] \n\n\\[0 = a^3 -3a^2 -2a + 4\\] \n\n\\[0 = (a - 1)(a^2 -2a - 4)\\] \n\nSince \\(a - x = 2\\) we have \\(a > 2\\) so \\((a - 1) \\neq 0\\) and thus \\(a^2 - 2a - 4 = 0\\) . This gives us \\(a = 1 + \\sqrt{5}\\) and so again \\(x = a - 2 = \\sqrt{5} - 1\\) . \n\n\\[\\therefore \\frac{1}{x} - \\frac{1}{a} = \\frac{1}{\\sqrt{5} - 1} - \\frac{1}{\\sqrt{5} + 1} = \\frac{1}{2}.\\] \n\nSo \\(a - x = 2\\) implies \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) . \n\nIn summary \\(\\frac{1}{x} - \\frac{1}{a} = \\frac{1}{2}\\) is equivalent to \\(a - x = 2\\) .\n\n\n\n**Solution B:** (Celine Yuan) \n\nLet \\(E\\) be the foot of the perpendicular from \\(D\\) to \\(BC\\) . Note that \\(E\\) is the reflection of \\(A\\) about \\(BD\\) (because \\(BD\\) is an angle bisector) and so we have congruent triangles \\(\\triangle ABD \\equiv \\triangle EBD\\) . Also construct point \\(N\\) on side \\(BC\\) to be the reflection of \\(B\\) about line \\(DE\\) . So we have three congruent triangles: \n\n\\[\\triangle ABD\\equiv \\triangle EBD\\equiv \\triangle END.\\] \n\nTherefore \\(AB = EB = EN\\) and hence \\(2AB = BE + EN = BN\\) . We also get \\(BD = DN\\) . Let \\(F\\) be the point on line \\(BC\\) such \\(BD = BF\\) . \n\n![md5:bae0ce889e53f73ba6afa3496d3172d1](bae0ce889e53f73ba6afa3496d3172d1.jpeg)\n \n\nAssume \\(BC - BD = 2AB\\) . Since \\(BD = DN\\) and \\(2AB = BN\\) we can get \\(BC - DN = BN\\) . Therefore \n\n\\[DN = BC - BN = CN\\] \n\nand so triangle \\(DNC\\) is isosceles. Now let \\(\\theta = \\angle BCA\\) . Since \\(\\triangle DNC\\) is isosceles, we get \\(\\angle CDN = \\theta\\) and thus \\(\\angle END = 2\\theta\\) . Therefore \\(\\angle EBD = 2\\theta\\) and \\(\\angle DBA = 2\\theta\\) and thus \\(\\angle CBA = 4\\theta\\) . Thus \n\n\\[90^{\\circ} = \\angle BCA + \\angle CBA = \\theta +4\\theta .\\] \n\nHence \\(\\theta = 18^{\\circ}\\) . Therefore \n\n\\[\\frac{AB}{BD} = \\cos (\\angle ABD) = \\cos (2\\theta) = \\cos (36^{\\circ}) = \\frac{1 + \\sqrt{5}}{4}\\] \n\n\\[\\mathrm{and}\\quad \\frac{BC}{BD} = \\frac{\\sin(\\angle CDB)}{\\sin(\\angle BCD)} = \\frac{\\sin(126^{\\circ})}{\\sin(\\angle 18^{\\circ})} = \\frac{\\sqrt{5} + 1}{\\sqrt{5} - 1}\\] \n\nTherefore \\(1 - \\frac{BD}{BC} = 1 - \\frac{\\sqrt{5} - 1}{\\sqrt{5} + 1} = \\frac{2}{\\sqrt{5} + 1} = \\frac{BD}{2AB}\\) . Hence \n\n\\[\\frac{1}{BD} -\\frac{1}{BC} = \\frac{1}{2AB}\\] \n\nas required. \n\n- If \\(BC - BD > 2AB\\) then using similar logic we can get \\(\\angle BCA < 18^{\\circ}\\) which implies \n\n\\[\\frac{1}{BD} -\\frac{1}{BC} < \\frac{1}{2AB}\\] \n\n- Conversely if \\(BC - BD < 2AB\\) then we get \\(\\angle BCA > 18^{\\circ}\\) which implies \n\n\\[\\frac{1}{BD} -\\frac{1}{BC} >\\frac{1}{2AB}\\] \n\nTherefore we conclude that \\(BC - BD > 2AB\\) if and only if \\(\\frac{1}{BD} - \\frac{1}{BC} < \\frac{1}{2AB}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(n,m\\) be positive integers. Let \\(A_{1},A_{2},A_{3},\\ldots ,A_{m}\\) be sets such that \\(A_{i}\\subseteq \\{1,2,3,\\ldots ,n\\}\\) and \\(|A_{i}| = 3\\) for all \\(i\\) (i.e. \\(A_{i}\\) consists of three different positive integers each at most \\(n\\) ). Suppose for all \\(i< j\\) we have \n\n\\[|A_{i}\\cap A_{j}|\\leqslant 1\\] \n\n(i.e. \\(A_{i}\\) and \\(A_{j}\\) have at most one element in common). \n\n(a) Prove that \\(m\\leqslant \\frac{n(n - 1)}{6}\\) . \n\n(b) Show that for all \\(n\\geq 3\\) it is possible to have \\(m\\geqslant \\frac{(n - 1)(n - 2)}{6}\\) .", "solution": ": (Ishan Nath) \n\nEach set \\(A_{i}\\) has exactly three pairs of elements. But each unordered pair chosen from \\(\\{1,2,\\ldots ,n\\}\\) can be in at most one such set. Therefore \n\n\\[{\\binom{n}{2}}\\geq3m.\\] \n\nThis establishes the required upper bound on the size of \\(m\\) . \n\nLet \\(T\\) be the set of all triples, i.e. \n\n\\[T = \\{(a,b,c)\\mid 1\\leq a< b< c\\leq n\\} .\\] \n\nWe now partition \\(T\\) into \\(n\\) parts, \\(T = T_{0}\\cup T_{1}\\cup T_{2}\\cup \\dots \\cup T_{n - 1}\\) based on the residue of \\(a + b + c\\) modulo \\(n\\) , i.e. \n\n\\[T_{i} = \\{(a,b,c)\\mid (a,b,c)\\in T\\mathrm{~and~}a + b + c\\equiv i\\mathrm{~(mod~}n)\\}\\] \n\nSo we have \\(\\binom{n}{3}\\) triples (our pigeons) and \\(n\\) pigeonholes (the parts \\(T_{0},T_{1},T_{2},\\ldots ,T_{n - 1}\\) ) therefore by the pigeonhole principle at least one part \\(T_{k}\\) must have at least \n\n\\[\\frac{1}{n}\\times \\binom{n}{3}\\] \n\ntriples in it. Now it suffices to show that \\(T_{k}\\) satisfies the problem. For the sake of contradiction, assume there exists two triples \\((a,b,c),(a^{\\prime},b^{\\prime},c^{\\prime})\\in T_{k}\\) such that \\(a = a^{\\prime}\\) and \\(b = b^{\\prime}\\) but \\(c\\neq c^{\\prime}\\) . This would imply \n\n\\[a + b + c\\equiv j\\equiv a^{\\prime} + b^{\\prime} + c^{\\prime}\\pmod {n}.\\] \n\nHence \\(c\\equiv c^{\\prime}\\) (mod \\(n\\) ) and thus \\(c = c^{\\prime}\\) and so we get \\((a,b,c) = (a^{\\prime},b^{\\prime},c^{\\prime})\\) , contradiction. Therefore no such pair \\((a,b,c),(a^{\\prime},b^{\\prime},c^{\\prime})\\in T_{k}\\) exists. Therefore, letting the elements of \\(T_{k}\\) be our sets \\(A_{i}\\) , we achieve \n\n\\[m\\geq \\frac{1}{n}\\times \\binom{n}{3} = \\frac{(n - 1)(n - 2)}{6}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all non-zero real numbers \\(a, b, c\\) such that the following polynomial has four (not necessarily distinct) positive real roots. \n\n\\[P(x) = ax^{4} - 8ax^{3} + bx^{2} - 32cx + 16c\\]", "solution": ": (Viet Hoang) \n\nAssume that \\(P(x)\\) has 4 positive real roots \\(x_{1}, x_{2}, x_{3}\\) and \\(x_{4}\\) . Using Viete's theorem, one can obtain the following equations \n\n\\[\\begin{array}{c}{x_{1} + x_{2} + x_{3} + x_{4} = \\frac{8a}{a} = 8}\\\\ {x_{1}x_{2} + x_{1}x_{3} + x_{1}x_{4} + x_{2}x_{3} + x_{2}x_{4} + x_{3}x_{4} = \\frac{b}{a}}\\\\ {x_{1}x_{2}x_{3} + x_{1}x_{2}x_{4} + x_{1}x_{3}x_{4} + x_{2}x_{3}x_{4} = \\frac{32c}{a}}\\\\ {x_{1}x_{2}x_{3}x_{4} = \\frac{16c}{a}} \\end{array} \\quad (5)\\] \n\nFrom 4 and 5, we have \n\n\\[\\frac{1}{x_{1}} +\\frac{1}{x_{2}} +\\frac{1}{x_{3}} +\\frac{1}{x_{4}} = \\frac{x_{1}x_{2}x_{3} + x_{1}x_{2}x_{4} + x_{1}x_{3}x_{4} + x_{2}x_{3}x_{4}}{x_{1}x_{2}x_{3}x_{4}i} = -\\frac{\\frac{32c}{a}}{\\frac{16c}{a}} = 2 \\quad (6)\\] \n\nUsing AM- GM (arithmetic mean geometric mean inequality) on the sums in equation (2) and (6) we get \n\n\\[\\frac{8}{4} = \\frac{x_{1} + x_{2} + x_{3} + x_{4}}{4}\\geqslant \\sqrt[4]{x_{1}\\cdot x_{2}\\cdot x_{3}\\cdot x_{4}}\\] \\[\\frac{2}{4} = \\frac{\\frac{1}{x_{1}} + \\frac{1}{x_{2}} + \\frac{1}{x_{3}} + \\frac{1}{x_{4}}}{4}\\geqslant \\sqrt[4]{\\frac{1}{x_{1}}\\cdot\\frac{1}{x_{2}}\\cdot\\frac{1}{x_{3}}\\cdot\\frac{1}{x_{4}}}\\] \n\nMultiplying these together yields \\(1\\geqslant 1\\) and so equality must occur in both AM- GM's. Therefore \\(x_{1} = x_{2} = x_{3} = x_{4}\\) . Furthermore for Equation (2) we get \\(x_{1} = x_{2} = x_{3} = x_{4} = 2\\) . Substituting this into equation (3) gives us \\(b = 24a\\) . Substituting this into equation (5) gives us \\(c = a\\) . So \\((a, b, c) = (a, 24a, a)\\) where \\(a\\) is any non- zero real number, and the polynomial \\(P(x)\\) is \n\n\\[P(x) = a(x - x_{1})(x - x_{2})(x - x_{3})(x - x_{4}) = a(x - 2)^{4}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2023_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl index 6b3dc20fb474557af47df2673a1786bbd54510f4..1426c68f01174436fe4ec00adbe7cfa3c715ca50 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl @@ -1,9 +1,9 @@ {"year": "2024", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Josie and Kevin are each thinking of a two digit positive integer. Josie's number is twice as big as Kevin's. One digit of Kevin's number is equal to the sum of digits of Josie's number. The other digit of Kevin's number is equal to the difference between the digits of Josie's number. What is the sum of Kevin and Josie's numbers?", "solution": ": (James Xu) \n\nWe'll use \\(\\overline{AB}\\) to denote a 2 digit number with \\(A\\) in the tens digit and \\(B\\) in the unit digit. \n\nLet Josie pick the number \\(\\overline{AB}\\) and Kevin \\(\\overline{CD}\\) . Then we have \n\n\\[\\overline{AB} = 2\\times \\overline{CD}\\] \n\n\\[10A + B = 20C + 2D\\] \n\nNow, \\(A \\geq 2C > C\\) so \\(C \\neq A + B\\) . Therefore, \\(C = |A - B|\\) and \\(D = A + B\\) . \n\n- Case 1: \\(A \\geq B\\) . So \\(C = |A - B| = A - B\\) . This yields \\(10A + B = 20C + 2D = 20(A - B) + 2(A + B)\\) . Which simplifies to give \n\n\\[19B = 12A.\\] \n\nThis can only happen when \\(A\\) is a multiple of 19 which is impossible since \\(A > 0\\) is a digit. \n\n- Case 2: \\(A < B\\) . \\(C = |A - B| = B - A\\) . This yields \\(10A + B = 20C + 2D = 20(B - A) + 2(A + B)\\) . Which simplifies to give \n\n\\[4A = 3B.\\] \n\nSince \\(A\\) and \\(B\\) are digits (and \\(A\\) is nonzero), this means either: \\((A, B) = (3, 4)\\) or \\((A, B) = (6, 8)\\) . \n\nTo verify: \\(\\overline{AB} = 34 \\Rightarrow \\overline{CD} = 17\\) which works, while \\(\\overline{AB} = 68 \\Rightarrow \\overline{CD} = 34\\) does not work. Therefore the final answer is \\(34 + 17 = 51\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Prove the following inequality \n\n\\[\\frac{6}{2024^{3}} < \\left(1 - \\frac{3}{4}\\right)\\left(1 - \\frac{3}{5}\\right)\\left(1 - \\frac{3}{6}\\right)\\left(1 - \\frac{3}{7}\\right)\\dots \\left(1 - \\frac{3}{2025}\\right).\\]", "solution": ": (Eric Liang) \n\n\\[\\frac{1}{4}\\times \\frac{2}{5}\\times \\frac{3}{6}\\times \\frac{4}{7}\\times \\frac{5}{8}\\times \\frac{6}{9}\\times \\frac{7}{10}\\times \\dots \\times \\frac{2022}{2025}\\] \\[= \\frac{1\\times 2\\times 3\\times 4\\times 5\\times 6\\times 7\\times \\dots \\times 2022}{4\\times 5\\times 6\\times 7\\times 8\\times 9\\times 10\\times \\dots \\times 2025}\\] \\[= \\frac{1\\times 2\\times 3}{2023\\times 2024\\times 2025}\\] \\[= \\frac{6}{2024(2024 - 1)(2024 + 1)}\\] \\[= \\frac{6}{2024(2024^{2} - 1)}\\] \\[> \\frac{6}{2024(2024^{2})}\\] \\[= \\frac{6}{2024^{3}}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} -{"year": "2024", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "A rectangular sheet of paper is folded so that one corner lies on top of the corner diagonally opposite. The resulting shape is a pentagon whose area is \\(20\\%\\) one-sheet-thick, and \\(80\\%\\) two-sheets-thick. Determine the ratio of the two sides of the original sheet of paper.", "solution": ": (Ross Atkins) \n\nLet the original rectangle be \\(ABCD\\) . Let the fold line be \\(XY\\) with point \\(X\\) lying on side \\(AB\\) and point \\(Y\\) lying on side \\(CD\\) . Consider the fold such that point \\(D\\) lands on point \\(B\\) . Let \\(P\\) be the location of corner \\(A\\) after the fold. \n\n![](data:image/jpeg;base64,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)\n \n\nThe two-sheets-thick area is \\(\\triangle BXY\\) which should be \\(80\\%\\) . By symmetry, triangles \\(\\triangle PXB\\) and \\(\\triangle CYB\\) are congruent with equal hypotenuses \n\n\\[B X = B Y.\\] \n\nTriangles \\(\\triangle PXB\\) and \\(\\triangle CYB\\) have equal area and their total area is \\(20\\%\\) of rectangle \\(ABCD\\) . Therefore \\(\\triangle BYC\\) has area \\(10\\%\\) . Hence the ratio of the areas \\(|BYC|:|BXY|\\) is \\(10\\% :80\\%\\) . Both triangles have height \\(BC\\) equal to the height of rectangle \\(ABCD\\) . Therefore their bases are also in the ratio \\(1:8\\) . i.e. \\(XB = 8YC\\) . \n\n\\[\\therefore BY = XB = 8YC.\\] \n\nNow we apply Pythagoras' to \\(\\triangle BCY\\) to get \n\n\\[BC^{2} = BY^{2} - CY^{2} = (8CY)^{2} - CY^{2} = 63CY^{2}.\\] \n\nTherefore \\(BC = \\sqrt{63} CY\\) . \n\nCombining this with \\(CD = CY + YD = CY + YB = 9CY\\) we get \n\n\\[BC:CD = \\sqrt{7}:3.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} -{"year": "2024", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "A dot-trapezium consists of several rows of dots such that each row contains one more dot than the row immediately above (apart from the top row). For example here is a dot-trapezium consisting of 15 dots, having 3 rows and 4 dot in the top row. \n\n![](data:image/jpeg;base64,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)\n \n\nA positive integer \\(n\\) is called a trapezium- number if there exists a dot- trapezium consisting of exactly \\(n\\) dots, with at least two rows and at least two dots in the top row. How many trapezium- numbers are there less than 100?", "solution": "A: (Chris Tuffley) \n\nLet \\(n\\) be a trapezium number and suppose there are \\(a\\) dots in the first row and \\(b\\) dots in the last row. So the required conditions are \\(a \\geq 2\\) and \\(b \\geq a + 1\\) . Then the equation becomes: \n\n\\[2n = b(b + 1) - a(a - 1) = b^{2} - a^{2} + b + a = (a + b)(b - a + 1)\\] \n\nbecause it is the difference between two triangle numbers. Let the two factors on the RHS be \\(x = (a + b)\\) and \\(y = (b - a + 1)\\) . Rearranging gives us \n\n\\[a = \\frac{x - y + 1}{2}\\qquad \\mathrm{and}\\qquad b = \\frac{x + y - 1}{2}.\\] \n\nIn order for \\(a\\) and \\(b\\) to be integers we must have \\(x\\) and \\(y\\) being opposite parity. So we are looking for factorizations of the form \\(2n = xy\\) such that one of \\(x\\) and \\(y\\) is even while the other is odd. We also need \\(a < b\\) (so that the trapezium has at least two rows) which is equivalent to \\(y \\geq 2\\) . Finally we also need \\(a \\geq 2\\) (so there are at least two dots in the top row) which is equivalent to \\(x \\geq y + 3\\) . We need \n\nNow write \\(n = 2^{k}m\\) with \\(m\\) odd. \n\n- If \\(n = 2^{k}\\) is a power of 2, then the only factorization of \\(2n = 2^{k + 1} = xy\\) such that both \\(x\\) and \\(y\\) have opposite parity is \\(x = 2^{k + 1}\\) and \\(y = 1\\) . This doesn't work because we require \\(y > 1\\) . (when \\(y = 1\\) the \"trapezium\" would consist of only one row) \n\n- If \\(m > 2^{k + 1} + 1\\) or \\(1 < m < 2^{k + 1} - 1\\) then we can choose \n\n\\[x = \\max \\{2^{k + 1},m\\} \\quad \\mathrm{and}\\quad y = \\min \\{2^{k + 1},m\\} .\\] \n\nTo check that this works we simply check that \\(y > 1\\) and \\(x \\geq y + 3\\) . Note that this still works even when \\(k = 0\\) . \n\n- If \\(m = 2^{k + 1} \\pm 1\\) and \\(m\\) is prime then the only factorization of \\(2n = 2^{k + 1}m = xy\\) such that both \\(x\\) and \\(y\\) have opposite parity and \\(x > y > 1\\) is \n\n\\[x = \\max \\{2^{k + 1},m\\} \\quad \\mathrm{and}\\quad y = \\min \\{2^{k + 1},m\\} .\\] \n\nHowever this doesn't work because we require \\(x > x + 1\\) . (when \\(y = 1\\) the \"trapezium\" would consist have one dot in the top row)\n\n\n\nThe only remaining possibility is when \\(m = 2^{k + 1} \\pm 1\\) and \\(m\\) is composite. If \\(k > 2\\) then \\(m = 2^{k + 1} \\pm 1 \\geq 15\\) , so \\(n = 2^{k} m \\geq 8 \\times 15 > 100\\) and we don’t need to consider it. For \\(k \\leq 2\\) we get \\(m = 1, 3, 5, 7, 9\\) . We can’t have \\(m = 1\\) because then \\(n\\) would be a power of 2. We also can’t have \\(m = 3, 5, 7\\) because they are prime. Finally we consider \\(m = 9\\) and so \\(k = 2\\) . In this case we get \\(n = 2^{k} m = 36\\) , which is a trapezium number as seen here: \n\n![](data:image/jpeg;base64,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)\n \n\nTherefore all non- trapezium- numbers less than 100, are the powers of two and numbers of the form \\(n = 2^{k}(2^{k + 1} \\pm 1)\\) where \\((2^{k + 1} \\pm 1)\\) is prime (and \\(k \\leq 2\\) ). The powers of two are: \\(\\{1, 2, 4, 8, 16, 32, 64\\}\\) . The numbers of the form \\(2^{k}(2^{k + 1} \\pm 1)\\) with \\(k \\leq 2\\) and \\((2^{k + 1} \\pm 1)\\) being prime are \n\n\\[\\{2^{0}(2^{1} + 1) = 3, 2^{1}(2^{2} - 1) = 6, 2^{1}(2^{2} + 1) = 10, 2^{2}(2^{3} - 1) = 28\\} .\\] \n\nAll together the non- trapezium numbers are \\(\\{1, 2, 3, 4, 6, 8, 10, 16, 28, 32, 64\\}\\) . There are 99 positive integers less than 100 and exactly 11 of them are non- trapezium numbers. So the final answer is \\(99 - 11 = 88\\) .\n\n\n\n**Solution B:** (David Starshaw) \n\nFirst, notice that any odd integer can be written as a sum of consecutive integers: \\(2n + 1 = (n) + (n + 1)\\) , e.g. \\(23 = 11 + 12\\) . \n\nThen observe that any multiple of 3 can be written as a sum of consecutive integers: \\(3n = (n - 1) + (n) + (n + 1)\\) , for example, \\(18 = 5 + 6 + 7\\) . \n\nSimilarly, any multiple of 5 can be written as a sum of consecutive integers: \n\n\\[5n = (n - 2) + (n - 1) + (n) + (n + 1) + (n + 2).\\] \n\nIn general, any number with an odd factor can be written as a sum of consecutive integers. The only numbers that have no odd factors (other than 1) are the powers of two. There are 7 such numbers less than 100: \\(\\{1,2,4,8,16,32,64\\}\\) . \n\nIn general, any number with an odd factor (greater than one) can be written as a sum of consecutive integers. Note that if the odd factor is too large then some of these terms are negative. For example our above method for 26 would produce \n\n\\[26 = (-4) + (-3) + (-2) + (-1) + 0 + 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8.\\] \n\nBecause the centre of the consecutive run is always positive, there will always be more positive terms than negative terms. Therefore each negative term can be 'cancelled' with it's corresponding positive term. At a minimum, the centre of the run must be at least 1, so there will always be at least two positive terms remaining even after cancelling. \n\nBut we are also not allowed to have one dot in the top row, i.e. our sum (after cancelling) cannot include 1. This would seem to exclude the triangular numbers: \n\n\\[\\{1,3,6,10,15,21,28,36,45,55,66,78,91\\} .\\] \n\nExcept some can be rewritten as a different sum of consecutive integers in more than one way. For example \\(15 = 1 + 2 + 3 + 4 + 5\\) , but also \\(15 = 7 + 8\\) . In general, if the triangular number, \\(T_{n} = \\frac{1}{2} n(n + 1)\\) , is either odd, or has an odd factor less than \\(n\\) , it can be rewritten as a sum of consecutive integers that do not include 1. The following triangular numbers can be salvaged: \n\n- 15 is odd, so \\(15 = 7 + 8\\) - 21 is odd, so \\(21 = 10 + 11\\) - 36 is a multiple of 3, so \\(36 = 11 + 12 + 13\\) - 45 is odd, so \\(45 = 22 + 23\\) - 55 is odd, so \\(55 = 27 + 28\\) - 66 is a multiple of 3, so \\(66 = 21 + 22 + 23\\) - 78 is a multiple of 3, so \\(78 = 25 + 26 + 27\\) - 91 is odd, so \\(91 = 45 + 46\\) \n\nSo there are 5 triangular numbers that are not possible: \\(\\{1,3,6,10,28\\}\\) . Combined with the powers of two that are also impossible: \\(\\{1,2,4,8,16,32,64\\}\\) , there are 11 numbers \\((5 + 7 = 12\\) but the number 1 is included in both lists) that can not be written as trapezium numbers: \n\n\\[\\{1,2,3,4,6,8,10,16,28,32,64\\}\\] \n\nThere are 99 numbers less than 100, so there are \\(99 - 11 = 88\\) trapezium numbers.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} +{"year": "2024", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "A rectangular sheet of paper is folded so that one corner lies on top of the corner diagonally opposite. The resulting shape is a pentagon whose area is \\(20\\%\\) one-sheet-thick, and \\(80\\%\\) two-sheets-thick. Determine the ratio of the two sides of the original sheet of paper.", "solution": ": (Ross Atkins) \n\nLet the original rectangle be \\(ABCD\\) . Let the fold line be \\(XY\\) with point \\(X\\) lying on side \\(AB\\) and point \\(Y\\) lying on side \\(CD\\) . Consider the fold such that point \\(D\\) lands on point \\(B\\) . Let \\(P\\) be the location of corner \\(A\\) after the fold. \n\n![md5:a3eb6b05bb0a6221303d359939b430b8](a3eb6b05bb0a6221303d359939b430b8.jpeg)\n \n\nThe two-sheets-thick area is \\(\\triangle BXY\\) which should be \\(80\\%\\) . By symmetry, triangles \\(\\triangle PXB\\) and \\(\\triangle CYB\\) are congruent with equal hypotenuses \n\n\\[B X = B Y.\\] \n\nTriangles \\(\\triangle PXB\\) and \\(\\triangle CYB\\) have equal area and their total area is \\(20\\%\\) of rectangle \\(ABCD\\) . Therefore \\(\\triangle BYC\\) has area \\(10\\%\\) . Hence the ratio of the areas \\(|BYC|:|BXY|\\) is \\(10\\% :80\\%\\) . Both triangles have height \\(BC\\) equal to the height of rectangle \\(ABCD\\) . Therefore their bases are also in the ratio \\(1:8\\) . i.e. \\(XB = 8YC\\) . \n\n\\[\\therefore BY = XB = 8YC.\\] \n\nNow we apply Pythagoras' to \\(\\triangle BCY\\) to get \n\n\\[BC^{2} = BY^{2} - CY^{2} = (8CY)^{2} - CY^{2} = 63CY^{2}.\\] \n\nTherefore \\(BC = \\sqrt{63} CY\\) . \n\nCombining this with \\(CD = CY + YD = CY + YB = 9CY\\) we get \n\n\\[BC:CD = \\sqrt{7}:3.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} +{"year": "2024", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "A dot-trapezium consists of several rows of dots such that each row contains one more dot than the row immediately above (apart from the top row). For example here is a dot-trapezium consisting of 15 dots, having 3 rows and 4 dot in the top row. \n\n![md5:5c4563cab3bb4e2797c3e6c885e92d53](5c4563cab3bb4e2797c3e6c885e92d53.jpeg)\n \n\nA positive integer \\(n\\) is called a trapezium- number if there exists a dot- trapezium consisting of exactly \\(n\\) dots, with at least two rows and at least two dots in the top row. How many trapezium- numbers are there less than 100?", "solution": "A: (Chris Tuffley) \n\nLet \\(n\\) be a trapezium number and suppose there are \\(a\\) dots in the first row and \\(b\\) dots in the last row. So the required conditions are \\(a \\geq 2\\) and \\(b \\geq a + 1\\) . Then the equation becomes: \n\n\\[2n = b(b + 1) - a(a - 1) = b^{2} - a^{2} + b + a = (a + b)(b - a + 1)\\] \n\nbecause it is the difference between two triangle numbers. Let the two factors on the RHS be \\(x = (a + b)\\) and \\(y = (b - a + 1)\\) . Rearranging gives us \n\n\\[a = \\frac{x - y + 1}{2}\\qquad \\mathrm{and}\\qquad b = \\frac{x + y - 1}{2}.\\] \n\nIn order for \\(a\\) and \\(b\\) to be integers we must have \\(x\\) and \\(y\\) being opposite parity. So we are looking for factorizations of the form \\(2n = xy\\) such that one of \\(x\\) and \\(y\\) is even while the other is odd. We also need \\(a < b\\) (so that the trapezium has at least two rows) which is equivalent to \\(y \\geq 2\\) . Finally we also need \\(a \\geq 2\\) (so there are at least two dots in the top row) which is equivalent to \\(x \\geq y + 3\\) . We need \n\nNow write \\(n = 2^{k}m\\) with \\(m\\) odd. \n\n- If \\(n = 2^{k}\\) is a power of 2, then the only factorization of \\(2n = 2^{k + 1} = xy\\) such that both \\(x\\) and \\(y\\) have opposite parity is \\(x = 2^{k + 1}\\) and \\(y = 1\\) . This doesn't work because we require \\(y > 1\\) . (when \\(y = 1\\) the \"trapezium\" would consist of only one row) \n\n- If \\(m > 2^{k + 1} + 1\\) or \\(1 < m < 2^{k + 1} - 1\\) then we can choose \n\n\\[x = \\max \\{2^{k + 1},m\\} \\quad \\mathrm{and}\\quad y = \\min \\{2^{k + 1},m\\} .\\] \n\nTo check that this works we simply check that \\(y > 1\\) and \\(x \\geq y + 3\\) . Note that this still works even when \\(k = 0\\) . \n\n- If \\(m = 2^{k + 1} \\pm 1\\) and \\(m\\) is prime then the only factorization of \\(2n = 2^{k + 1}m = xy\\) such that both \\(x\\) and \\(y\\) have opposite parity and \\(x > y > 1\\) is \n\n\\[x = \\max \\{2^{k + 1},m\\} \\quad \\mathrm{and}\\quad y = \\min \\{2^{k + 1},m\\} .\\] \n\nHowever this doesn't work because we require \\(x > x + 1\\) . (when \\(y = 1\\) the \"trapezium\" would consist have one dot in the top row)\n\n\n\nThe only remaining possibility is when \\(m = 2^{k + 1} \\pm 1\\) and \\(m\\) is composite. If \\(k > 2\\) then \\(m = 2^{k + 1} \\pm 1 \\geq 15\\) , so \\(n = 2^{k} m \\geq 8 \\times 15 > 100\\) and we don’t need to consider it. For \\(k \\leq 2\\) we get \\(m = 1, 3, 5, 7, 9\\) . We can’t have \\(m = 1\\) because then \\(n\\) would be a power of 2. We also can’t have \\(m = 3, 5, 7\\) because they are prime. Finally we consider \\(m = 9\\) and so \\(k = 2\\) . In this case we get \\(n = 2^{k} m = 36\\) , which is a trapezium number as seen here: \n\n![md5:f2606f42afe6b5680310ec5e4f29106d](f2606f42afe6b5680310ec5e4f29106d.jpeg)\n \n\nTherefore all non- trapezium- numbers less than 100, are the powers of two and numbers of the form \\(n = 2^{k}(2^{k + 1} \\pm 1)\\) where \\((2^{k + 1} \\pm 1)\\) is prime (and \\(k \\leq 2\\) ). The powers of two are: \\(\\{1, 2, 4, 8, 16, 32, 64\\}\\) . The numbers of the form \\(2^{k}(2^{k + 1} \\pm 1)\\) with \\(k \\leq 2\\) and \\((2^{k + 1} \\pm 1)\\) being prime are \n\n\\[\\{2^{0}(2^{1} + 1) = 3, 2^{1}(2^{2} - 1) = 6, 2^{1}(2^{2} + 1) = 10, 2^{2}(2^{3} - 1) = 28\\} .\\] \n\nAll together the non- trapezium numbers are \\(\\{1, 2, 3, 4, 6, 8, 10, 16, 28, 32, 64\\}\\) . There are 99 positive integers less than 100 and exactly 11 of them are non- trapezium numbers. So the final answer is \\(99 - 11 = 88\\) .\n\n\n\n**Solution B:** (David Starshaw) \n\nFirst, notice that any odd integer can be written as a sum of consecutive integers: \\(2n + 1 = (n) + (n + 1)\\) , e.g. \\(23 = 11 + 12\\) . \n\nThen observe that any multiple of 3 can be written as a sum of consecutive integers: \\(3n = (n - 1) + (n) + (n + 1)\\) , for example, \\(18 = 5 + 6 + 7\\) . \n\nSimilarly, any multiple of 5 can be written as a sum of consecutive integers: \n\n\\[5n = (n - 2) + (n - 1) + (n) + (n + 1) + (n + 2).\\] \n\nIn general, any number with an odd factor can be written as a sum of consecutive integers. The only numbers that have no odd factors (other than 1) are the powers of two. There are 7 such numbers less than 100: \\(\\{1,2,4,8,16,32,64\\}\\) . \n\nIn general, any number with an odd factor (greater than one) can be written as a sum of consecutive integers. Note that if the odd factor is too large then some of these terms are negative. For example our above method for 26 would produce \n\n\\[26 = (-4) + (-3) + (-2) + (-1) + 0 + 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8.\\] \n\nBecause the centre of the consecutive run is always positive, there will always be more positive terms than negative terms. Therefore each negative term can be 'cancelled' with it's corresponding positive term. At a minimum, the centre of the run must be at least 1, so there will always be at least two positive terms remaining even after cancelling. \n\nBut we are also not allowed to have one dot in the top row, i.e. our sum (after cancelling) cannot include 1. This would seem to exclude the triangular numbers: \n\n\\[\\{1,3,6,10,15,21,28,36,45,55,66,78,91\\} .\\] \n\nExcept some can be rewritten as a different sum of consecutive integers in more than one way. For example \\(15 = 1 + 2 + 3 + 4 + 5\\) , but also \\(15 = 7 + 8\\) . In general, if the triangular number, \\(T_{n} = \\frac{1}{2} n(n + 1)\\) , is either odd, or has an odd factor less than \\(n\\) , it can be rewritten as a sum of consecutive integers that do not include 1. The following triangular numbers can be salvaged: \n\n- 15 is odd, so \\(15 = 7 + 8\\) - 21 is odd, so \\(21 = 10 + 11\\) - 36 is a multiple of 3, so \\(36 = 11 + 12 + 13\\) - 45 is odd, so \\(45 = 22 + 23\\) - 55 is odd, so \\(55 = 27 + 28\\) - 66 is a multiple of 3, so \\(66 = 21 + 22 + 23\\) - 78 is a multiple of 3, so \\(78 = 25 + 26 + 27\\) - 91 is odd, so \\(91 = 45 + 46\\) \n\nSo there are 5 triangular numbers that are not possible: \\(\\{1,3,6,10,28\\}\\) . Combined with the powers of two that are also impossible: \\(\\{1,2,4,8,16,32,64\\}\\) , there are 11 numbers \\((5 + 7 = 12\\) but the number 1 is included in both lists) that can not be written as trapezium numbers: \n\n\\[\\{1,2,3,4,6,8,10,16,28,32,64\\}\\] \n\nThere are 99 numbers less than 100, so there are \\(99 - 11 = 88\\) trapezium numbers.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "A shop sells golf balls, golf clubs and golf hats. Golf balls can be purchased at a rate of 25 cents for two balls. Golf hats cost \\(\\) 1\\$ each. Golf clubs cost \\(\\) 10\\$ each. At this shop, Ross purchased 100 items for a total cost of exactly \\(\\) 100\\((Ross purchased at least one of each type of item). How many golf hats did Ross purchase?", "solution": ": (James Xu) Let the number of pairs of balls, clubs, and hats purchased be \\(b, c, h\\) respectively. Then, we must have \n\n\\[\\mathrm{cost:}\\qquad \\qquad \\qquad \\frac{1}{4} b + h + 10c = 100\\] \\[\\mathrm{quantity:}\\qquad \\qquad \\qquad 2b + h + c = 100\\] \n\nSubtracting these yields \\(\\frac{7}{4} b - 9c = 0\\) and thus \n\n\\[7b = 36c.\\] \n\nSince \\(\\gcd (7,36) = 1\\) this implies \\(36|b\\) . Since \\(0< b< 51\\) , we must have \\(b = 36\\) . Therefore \\(c = 7\\) . Thus \\(h = 100 - 2\\times 36 - 7 = 21\\) . Hence the final answer is \\((b,h,c) = (36,21,7)\\) . Checking we get: \n\n\\[\\mathrm{cost:}\\qquad \\qquad \\frac{1}{4} b + h + 10c = 9 + 21 + 70 = 100\\] \\[\\mathrm{quantity:}\\qquad \\qquad 2b + h + c = 72 + 21 + 7 = 100.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} -{"year": "2024", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\omega\\) be the incircle of scalene triangle \\(ABC\\) . Let \\(\\omega\\) be tangent to \\(AB\\) and \\(AC\\) at points \\(X\\) and \\(Y\\) . Construct points \\(X'\\) and \\(Y'\\) on line segments \\(AB\\) and \\(AC\\) respectively such that \\(AX' = XB\\) and \\(AY' = YC\\) . Let line \\(CX'\\) intersects \\(\\omega\\) at points \\(P, Q\\) such that \\(P\\) is closer to \\(C\\) than \\(Q\\) . Also let \\(R\\) be the intersection of lines \\(CX'\\) and \\(BY'\\) . Prove that \\(CP = RX'\\) .", "solution": ": (Ross Atkins) \n\nLet \\(a, b, c\\) be the sidelengths \\(BC, AC, AB\\) respectively, and let \\(s\\) be the semiperimeter of triangle \\(ABC\\) (i.e. let \\(s = \\frac{a + b + c}{2}\\) ). Since \\(X\\) and \\(Y\\) are the points of contact of the incircle we get \\(AX = AY\\) . Similarly \\(BX = BZ\\) and \\(CY = CZ\\) where \\(Z\\) is the point of tangency between \\(\\omega\\) and side \\(BC\\) . Let \\(p = AX = AY\\) and \\(q = BX = BZ\\) and \\(r = CY + CZ\\) as in the diagram. \n\n![](data:image/jpeg;base64,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)\n \n\nWe have the system of equations: \n\n\\[p + q = c\\] \\[p + r = b\\] \\[q + r = a\\] \n\nAdding them together yields \\(2(p + q + r) = a + b + c\\) so therefore \\(p + q + r = s\\) . Then we simply get: \n\n\\[s - c = (p + q + r) - (p + q) = r.\\] \n\nSimilarly \\(p = (s - a)\\) and \\(q = (s - b)\\) . Hence \\(BX' = AX = AY = CY' = (s - a)\\) , and \\(AX' = (s - b)\\) .\n\n\n\nNow let \\(\\omega_{C}\\) be the excircle of triangle \\(A B C\\) opposite vertex \\(C\\) . The circle \\(\\omega_{C}\\) is tangent to lines \\(B C\\) , \\(A C\\) and \\(A B\\) at points \\(D\\) , \\(E\\) and \\(F\\) respectively. First we consider equal tangents from \\(C\\) to \\(\\omega_{C}\\) . \n\n\\[C D = B C + B D = a + B F\\] \\[C E = C A + A E = b + A F\\] \n\nAdding these together gives us \\(C D + C E = a + b + (A F + B F) = a + b + c\\) . But since \\(C D = C E\\) (equal tangents) this implies \n\n\\[C D = \\frac{a + b + c}{2} = s.\\] \n\nTherefore \\(C D = C E = s\\) . This means \\(B F = C D - a = (s - a)\\) and thus \\(X^{\\prime}\\) and \\(F\\) are the same point. \n\n![](data:image/jpeg;base64,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)\n \n\nNow consider the homothety (centred at \\(C\\) ) that carries \\(\\omega\\) to \\(\\omega_{C}\\) . This homothety sends point \\(P\\) to point \\(X^{\\prime}\\) (since \\(C, P, X^{\\prime}\\) are colinear). It also carries the tangency point \\(Y\\) to \\(E\\) . It follows that \n\n\\[\\frac{C P}{P X^{\\prime}} = \\frac{C Y}{Y E} = \\frac{C Y}{C E - C Y} = \\frac{s - c}{s - (s - c)} = \\frac{s - c}{c}.\\] \n\ni.e. Point \\(P\\) divides segment \\(C X^{\\prime}\\) into the ratio \\((s - c):c\\) . Also we can apply Menelaus' Theorem ( \\(B\\) , \\(R\\) , \\(Y^{\\prime}\\) colinear) to get \n\n\\[\\frac{C R}{R X^{\\prime}} \\times \\frac{X^{\\prime}B}{B A} \\times \\frac{A Y^{\\prime}}{Y^{\\prime}C} = 1\\] \n\n\\[\\frac{C R}{R X^{\\prime}} \\times \\frac{s - a}{c} \\times \\frac{s - c}{s - a} = 1\\] \n\nHence \\(\\frac{C R}{R X^{\\prime}} = \\frac{c}{s - c}\\) , so point \\(R\\) divides segment \\(C X^{\\prime}\\) into the ratio \\(c:(s - c)\\) . Therefore \\(C P = X^{\\prime}R\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} +{"year": "2024", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\omega\\) be the incircle of scalene triangle \\(ABC\\) . Let \\(\\omega\\) be tangent to \\(AB\\) and \\(AC\\) at points \\(X\\) and \\(Y\\) . Construct points \\(X'\\) and \\(Y'\\) on line segments \\(AB\\) and \\(AC\\) respectively such that \\(AX' = XB\\) and \\(AY' = YC\\) . Let line \\(CX'\\) intersects \\(\\omega\\) at points \\(P, Q\\) such that \\(P\\) is closer to \\(C\\) than \\(Q\\) . Also let \\(R\\) be the intersection of lines \\(CX'\\) and \\(BY'\\) . Prove that \\(CP = RX'\\) .", "solution": ": (Ross Atkins) \n\nLet \\(a, b, c\\) be the sidelengths \\(BC, AC, AB\\) respectively, and let \\(s\\) be the semiperimeter of triangle \\(ABC\\) (i.e. let \\(s = \\frac{a + b + c}{2}\\) ). Since \\(X\\) and \\(Y\\) are the points of contact of the incircle we get \\(AX = AY\\) . Similarly \\(BX = BZ\\) and \\(CY = CZ\\) where \\(Z\\) is the point of tangency between \\(\\omega\\) and side \\(BC\\) . Let \\(p = AX = AY\\) and \\(q = BX = BZ\\) and \\(r = CY + CZ\\) as in the diagram. \n\n![md5:f0007e18201fdb0963ed8a99aab8e26f](f0007e18201fdb0963ed8a99aab8e26f.jpeg)\n \n\nWe have the system of equations: \n\n\\[p + q = c\\] \\[p + r = b\\] \\[q + r = a\\] \n\nAdding them together yields \\(2(p + q + r) = a + b + c\\) so therefore \\(p + q + r = s\\) . Then we simply get: \n\n\\[s - c = (p + q + r) - (p + q) = r.\\] \n\nSimilarly \\(p = (s - a)\\) and \\(q = (s - b)\\) . Hence \\(BX' = AX = AY = CY' = (s - a)\\) , and \\(AX' = (s - b)\\) .\n\n\n\nNow let \\(\\omega_{C}\\) be the excircle of triangle \\(A B C\\) opposite vertex \\(C\\) . The circle \\(\\omega_{C}\\) is tangent to lines \\(B C\\) , \\(A C\\) and \\(A B\\) at points \\(D\\) , \\(E\\) and \\(F\\) respectively. First we consider equal tangents from \\(C\\) to \\(\\omega_{C}\\) . \n\n\\[C D = B C + B D = a + B F\\] \\[C E = C A + A E = b + A F\\] \n\nAdding these together gives us \\(C D + C E = a + b + (A F + B F) = a + b + c\\) . But since \\(C D = C E\\) (equal tangents) this implies \n\n\\[C D = \\frac{a + b + c}{2} = s.\\] \n\nTherefore \\(C D = C E = s\\) . This means \\(B F = C D - a = (s - a)\\) and thus \\(X^{\\prime}\\) and \\(F\\) are the same point. \n\n![md5:bf17397795deae7cc3e9300375ed5af4](bf17397795deae7cc3e9300375ed5af4.jpeg)\n \n\nNow consider the homothety (centred at \\(C\\) ) that carries \\(\\omega\\) to \\(\\omega_{C}\\) . This homothety sends point \\(P\\) to point \\(X^{\\prime}\\) (since \\(C, P, X^{\\prime}\\) are colinear). It also carries the tangency point \\(Y\\) to \\(E\\) . It follows that \n\n\\[\\frac{C P}{P X^{\\prime}} = \\frac{C Y}{Y E} = \\frac{C Y}{C E - C Y} = \\frac{s - c}{s - (s - c)} = \\frac{s - c}{c}.\\] \n\ni.e. Point \\(P\\) divides segment \\(C X^{\\prime}\\) into the ratio \\((s - c):c\\) . Also we can apply Menelaus' Theorem ( \\(B\\) , \\(R\\) , \\(Y^{\\prime}\\) colinear) to get \n\n\\[\\frac{C R}{R X^{\\prime}} \\times \\frac{X^{\\prime}B}{B A} \\times \\frac{A Y^{\\prime}}{Y^{\\prime}C} = 1\\] \n\n\\[\\frac{C R}{R X^{\\prime}} \\times \\frac{s - a}{c} \\times \\frac{s - c}{s - a} = 1\\] \n\nHence \\(\\frac{C R}{R X^{\\prime}} = \\frac{c}{s - c}\\) , so point \\(R\\) divides segment \\(C X^{\\prime}\\) into the ratio \\(c:(s - c)\\) . Therefore \\(C P = X^{\\prime}R\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Some of the 80960 lattice points in a \\(40 \\times 2024\\) lattice are coloured red. It is known that no four red lattice points are vertices of a rectangle with sides parallel to the axes of the lattice. What is the maximum possible number of red points in the lattice?", "solution": ": (Ross Atkins) \n\nLet \\(a_{1},a_{2},a_{3},\\ldots ,a_{2024}\\) be the number of red dots in rows \\(1,2,3,\\ldots ,2024\\) respectively. So \\(0\\leqslant a_{i}\\leqslant 40\\) for each \\(i\\) \n\nFor each of the \\(\\binom{40}{2}=780\\) pairs of columns, there can be at most one row with a red dot in both columns. Therefore we must have \n\n\\[\\binom{a_{1}}{2}+\\binom{a_{2}}{2}+\\binom{a_{3}}{2}+\\cdots+\\binom{a_{2024}}{2}\\leq\\binom{40}{2}=780.\\] \n\nAnd hence there is always guaranteed to be at least \\(2024 - 780\\) indices with \\(a_{i}\\leqslant 1\\) - i.e. At least \\(2024 - 780 = 1244\\) rows have at most one red dot in it. \n\nNow consider an arrangement in which the total number of red dots is maximised, and suppose for the sake of contradiction that \\(a_{j}\\geqslant 3\\) for some index \\(j\\) . Let \\(c_{1}\\) , \\(c_{2}\\) and \\(c_{3}\\) be three of the columns where row \\(j\\) has a red dot. Let \\(r_{1}\\) and \\(r_{2}\\) be any two rows which each currently contain one red dot. Consider the following operation: \n\n- Remove the dot in row \\(j\\) and column \\(c_{3}\\) . \n\n- Remove the dots in rows \\(r_{1}\\) and \\(r_{2}\\) (at most two dots removed). \n\n- Add dots in columns \\(c_{1}\\) and \\(c_{3}\\) in row \\(r_{1}\\) . \n\n- Add dots in columns \\(c_{2}\\) and \\(c_{3}\\) in row \\(r_{2}\\) . \n\nThis operation will increase the total number of dots which contradicts the assumption that a row with at least 3 dots exists in a maximal arrangement. \n\nHenceforth we assume \\(a_{i}\\leqslant 2\\) for all \\(i\\) . Now if there were more than 780 rows with two red dots in it (i.e. \\(a_{i} = 2\\) for more than 780 indices \\(i\\) ). Then by the pigeonhole principle, there would be two rows with dots in the same pair of columns and this would be a contradiction. Therefore there are at most 780 rows with two dots in it. Hence the total number of dots is at most \n\n\\[780\\times 2 + 1244\\times 1 = 2804.\\] \n\nTo achieve this let the first 780 rows each have a unique pair of columns in which their red dots lie. And the remaining 1244 rows each containing a single dot in the first column only.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) , \\(b\\) and \\(c\\) be any positive real numbers. Prove that \n\n\\[{\\frac{a^{2}+b^{2}}{2c}}+{\\frac{a^{2}+c^{2}}{2b}}+{\\frac{b^{2}+c^{2}}{2a}}\\geqslant a+b+c.\\]", "solution": "A: (Eric Liang) \n\nSince square numbers cannot be negative we trivially get \n\n\\[\\left(\\frac{y}{\\sqrt{x}} -\\sqrt{x}\\right)^{2}\\geqslant 0\\] \n\nfor any positive \\(x\\) and \\(y\\) . Expanding the brackets and rearranging gives us \\(\\frac{y^{2}}{x} +x\\geq 2y\\) . Since this holds for any \\(x\\) and \\(y\\) we get the following inequalities: \n\n\\[\\frac{a^{2}}{b} +b\\geq 2a\\] \\[\\frac{a^{2}}{c} +c\\geq 2a\\] \\[\\frac{b^{2}}{a} +a\\geq 2b\\] \\[\\frac{b^{2}}{c} +c\\geq 2b\\] \\[\\frac{c^{2}}{b} +b\\geq 2c\\] \\[\\frac{c^{2}}{a} +a\\geq 2c\\] \n\nSumming these together gives us \n\n\\[{\\frac{a^{2}+b^{2}}{c}}+{\\frac{a^{2}+c^{2}}{b}}+{\\frac{b^{2}+c^{2}}{a}}\\geqslant2a+2b+2c\\] \n\nand then dividing by 2 gives us the required result.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) , \\(b\\) and \\(c\\) be any positive real numbers. Prove that \n\n\\[{\\frac{a^{2}+b^{2}}{2c}}+{\\frac{a^{2}+c^{2}}{2b}}+{\\frac{b^{2}+c^{2}}{2a}}\\geqslant a+b+c.\\]", "solution": "B: (Ross Atkins) \n\nSince \\(a,b\\) are positive then \\((a + b) / ab > 0\\) . Furthermore, since square numbers are. nonnegative, we must have \\((a + b)(a - b)^{2}\\geq 0\\) . Expanding the brackets gives us, \n\n\\[(a + b)(a - b)^{2} = a^{3} - a^{2}b - ab^{2} + b^{3}\\geq 0\\] \n\nThus \\(a^{3} + b^{3}\\geq a^{2}b + ab^{2}\\) . Dividing both sides by \\(ab\\) gives us \n\n\\[\\frac{a^{2}}{b} +\\frac{b^{2}}{a}\\geq a + b.\\] \n\nSimilarly we have \\(\\frac{a^{2}}{c} +\\frac{c^{2}}{a}\\geq a + c\\) and \\(\\frac{b^{2}}{c} +\\frac{c^{2}}{b}\\geq b + c\\) . Adding these all together gives us \n\n\\[\\left(\\frac{a^{2}}{b} +\\frac{b^{2}}{a}\\right) + \\left(\\frac{a^{2}}{c} +\\frac{c^{2}}{a}\\right) + \\left(\\frac{b^{2}}{c} +\\frac{c^{2}}{b}\\right)\\geq (a + b) + (a + c) + (b + c)\\] \\[\\qquad \\Rightarrow \\frac{a^{2} + b^{2}}{c} +\\frac{a^{2} + c^{2}}{b} +\\frac{b^{2} + c^{2}}{a}\\geq 2(a + b + c)\\] \\[\\qquad \\Rightarrow \\frac{a^{2} + b^{2}}{2c} +\\frac{a^{2} + c^{2}}{2b} +\\frac{b^{2} + c^{2}}{2a}\\geq a + b + c.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2024_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl index 0e762904ac7f156f2d23799c3b7affc52ef71e55..9ddf368d37baf73afd4500e1efc1025b009e0e9c 100644 --- a/NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl @@ -1,9 +1,9 @@ {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) and \\(b\\) be positive integers with no common factor greater than 1. What are the possible values for the greatest common divisor of \\((a + b)\\) and \\((a - b)\\) ?", "solution": ": (Kevin Shen) \n\nLet \\(d\\) be a common divisor of both \\((a + b)\\) and \\((a - b)\\) , and therefore divides linear combinations of \\((a + b)\\) and \\((a - b)\\) . In particular, \n\n\\[d\\mid [(a + b) + (a - b)] = 2a,\\quad d\\mid [(a + b) - (a - b)] = 2b.\\] \n\nAs \\(a\\) and \\(b\\) don't share any common factors, the only common factors \\(2a\\) and \\(2b\\) have is 2. Hence \\(d\\mid 2\\) , which means that \\(d = 1\\) or 2. This means that the greatest common divisor cannot be larger than 2. \n\nWe now show that both 1 and 2 can both occur. \n\nConsider \\(a = 2, b = 1\\) \n\n\\[\\gcd (2 + 1,2 - 1) = 1.\\] \n\nConsider \\(a = 5, b = 3\\) \n\n\\[\\gcd (5 + 3,5 - 3) = 2.\\] \n\nThus the only possible values for the greatest common divisor of \\((a + b)\\) and \\((a - b)\\) are 1 and 2.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} -{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be a right-angled triangle with \\(\\angle BAC = 90^{\\circ}\\) , \\(\\angle ABC = 70^{\\circ}\\) , and \\(AB = 1\\) . Let \\(M\\) be the midpoint of \\(BC\\) . Let \\(D\\) be the point on the extension of \\(AM\\) beyond \\(M\\) such that \\(\\angle CDA = 110^{\\circ}\\) . Find the length of \\(CD\\) .", "solution": ": (Nico McKinlay) \n\nConstruct point \\(E\\) so that \\(ABEC\\) is a rectangle. The diagonals of any rectangle bisect each other, that is, they meet at each other's midpoints. Hence \\(AE\\) and \\(BC\\) meet at \\(M\\) , i.e. \\(E\\) lies on line \\(AM\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nBy symmetry in rectangle \\(ABEC\\) , we have \n\n\\[\\angle CEA = \\angle ABC = 70^{\\circ}.\\] \n\nBy angles on a line, \n\n\\[\\angle CDE = 180^{\\circ} - \\angle CDA = 180^{\\circ} - 110^{\\circ} = 70^{\\circ}.\\] \n\nSo triangle \\(CDE\\) is isosceles with \\(CD = CE\\) , because \n\n\\[\\angle CED = \\angle CDE = 70^{\\circ}.\\] \n\nOpposite sides in a rectangle are equal so \\(CE = AB = 1\\) , hence \\(CD\\) has length 1.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} +{"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be a right-angled triangle with \\(\\angle BAC = 90^{\\circ}\\) , \\(\\angle ABC = 70^{\\circ}\\) , and \\(AB = 1\\) . Let \\(M\\) be the midpoint of \\(BC\\) . Let \\(D\\) be the point on the extension of \\(AM\\) beyond \\(M\\) such that \\(\\angle CDA = 110^{\\circ}\\) . Find the length of \\(CD\\) .", "solution": ": (Nico McKinlay) \n\nConstruct point \\(E\\) so that \\(ABEC\\) is a rectangle. The diagonals of any rectangle bisect each other, that is, they meet at each other's midpoints. Hence \\(AE\\) and \\(BC\\) meet at \\(M\\) , i.e. \\(E\\) lies on line \\(AM\\) . \n\n![md5:99bbb2c21588d48c1bfbc31d69bf004a](99bbb2c21588d48c1bfbc31d69bf004a.jpeg)\n \n\nBy symmetry in rectangle \\(ABEC\\) , we have \n\n\\[\\angle CEA = \\angle ABC = 70^{\\circ}.\\] \n\nBy angles on a line, \n\n\\[\\angle CDE = 180^{\\circ} - \\angle CDA = 180^{\\circ} - 110^{\\circ} = 70^{\\circ}.\\] \n\nSo triangle \\(CDE\\) is isosceles with \\(CD = CE\\) , because \n\n\\[\\angle CED = \\angle CDE = 70^{\\circ}.\\] \n\nOpposite sides in a rectangle are equal so \\(CE = AB = 1\\) , hence \\(CD\\) has length 1.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(P(x) = x^{3} + ax^{2} + bx - 8\\) be a polynomial with 3 real roots. Show that \\(a^{2} \\geq 2b + 12\\).", "solution": ": (Eric Liang) \n\nLet \\(\\alpha , \\beta , \\gamma\\) be the roots of the polynomial. By expanding \\(P(x) = (x - \\alpha)(x - \\beta)(x - \\gamma)\\) we get: \n\n\\[a = -\\alpha -\\beta -\\gamma\\] \\[b = \\alpha \\beta +\\beta \\gamma +\\gamma \\alpha\\] \\[-8 = -\\alpha \\beta \\gamma\\] \n\nUsing these results: \n\n\\[a^{2} = (-\\alpha -\\beta -\\gamma)^{2}\\] \\[\\quad = \\alpha^{2} + \\beta^{2} + \\gamma^{2} + 2\\alpha \\beta +2\\beta \\gamma +2\\gamma \\alpha\\] \\[\\quad = \\alpha^{2} + \\beta^{2} + \\gamma^{2} + 2b\\] \\[\\quad \\geq 3\\sqrt[3]{\\alpha^{2}\\beta^{2}\\gamma^{2} + 2b}\\] \\[\\quad = 3\\sqrt[3]{(-8)^{2} + 2b}\\] \\[\\quad = 2b + 12\\] \n\nAs required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find the largest integer \\(k\\) such that any string of 2025 letters consisting only of A's and B's contains a palindromic substring of length \\(k\\) or longer. A palindromic substring is a string of consecutive letters which reads the same backwards as forwards.", "solution": ": (Kevin Shen) \n\nWe claim that the largest integer is 4. We first prove that all strings \\(S\\) of 2025 letters contain a palindromic substring of length 4 or longer, which implies that \\(k \\geq 4\\) . Then we shall provide a construction to show that \\(k\\) cannot be 5 or more. \n\nWe first begin by proving \\(k \\geq 4\\) . Let \\(R\\) be the 2023 letter substring of \\(S\\) with the first and last letter removed. \n\nCase 1: \\(R\\) contains a letter that is repeated 4 or more times in a row. \n\nThis repeating letter (e.g. AAAA) is a palindromic substring or length 4 or more, so we are done. \n\nCase 2: \\(R\\) contains a letter that is repeated 3 times in a row, and no more. \n\nWithout loss of generality, assume this repeated letter is A. As it repeats only 3 times in a row, the letters immediately to the left and right of the substring AAA must be B, therefore \\(S\\) contains the substring BAAAB, which is palindromic with length \\(5 > 4\\) .\n\n\n\nCase 3: \\(R\\) contains a letter that is repeated 2 times in a row, and no more. \n\nWithout loss of generality, assume this repeated letter is A. As it repeats only 2 times in a row, the letters immediately to the left and right of the substring AA must be B, therefore \\(S\\) contains the substring BAAB, which is palindromic with length 4. \n\nCase 4: \\(R\\) does not contain a letter that is repeated in a row. \n\nAs no letter repeats, \\(R\\) must alternate between A and B. Therefore it contains the substring ABABA, which is palindromic with length \\(5 > 4\\) . \n\nThis proves that \\(k \\geq 4\\) . \n\nWe now provide a construction that does not contain palindromic substrings of length 5 or more. Consider the following sequence of length 2025 built from repeating the 6 letters \\(AABABB\\) . \n\n## AABABB AABABB AABABB... \n\nThere are only 6 possible five letter substrings as the sequence repeats every 6 letters, none of these substrings are palindromic. \n\nAABAB, ABABB, BABBA, ABBAA, BBAAB, BAABA \n\nSimilarly the six letter substrings are all not palindromic either. \n\nAABABB, ABABBA, BABBAA, ABBAAB, BBAABA, BAABAB \n\nAny longer palindromic substring of odd length must contain a palindromic substring with 5 letters, and any longer palindromic substring of even length must contain a palindromic substring with 6 letters. As we proved earlier there are no such substrings, there also cannot be palindromic substrings of length 7 or longer in our constructed sequence.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Alice plays a game with the Mad Hatter. The Mad Hatter will write two rows of numbers on a blackboard, each a distinct permutation of \\(\\{1,2,\\ldots ,n\\}\\) . On each move, Alice is allowed to swap the positions of the numbers \\(a\\) and \\(a + 1\\) in the first row, for some \\(1 \\leq a < n\\) . What is the minimum number of moves Alice needs in order to guarantee that she can turn the first row of numbers into the second, regardless of the permutations the Mad Hatter writes?", "solution": ": (Tony Wang) \n\nWe will show that the answer is \\(\\binom{n}{2} = \\frac{n(n - 1)}{2}\\) . To show that this is sufficient, we will use induction. \n\n- Base Case: Note that when \\(n = 1\\) , the two rows of numbers must be the same since there is only one permutation of \\(\\{1\\}\\) . Hence this case takes \\(0 = \\binom{1}{2}\\) turns.\n\n\n\n- Inductive Step: Suppose that we know that it takes \\(\\binom{n-1}{2}\\) moves for two permutations of \\(\\{1,2,\\ldots,n-1\\}\\) . Now consider two permutations of \\(\\{1,2,\\ldots,n\\}\\) . We will show that it takes at most \\(n-1\\) moves to put the number \\(n\\) into the correct position. \n\nSuppose that \\(n\\) is in the \\(i\\) - th position in the first row, and that the \\(i\\) - th number in the second row is occupied by \\(k\\) . We first swap the positions of \\(k\\) and \\(k + 1\\) , meaning that the \\(i\\) - th number in the second row is now \\(k + 1\\) . By repeating this argument with \\(k + 1\\) and \\(k + 2\\) , \\(k + 2\\) and \\(k + 3\\) , ..., \\(n - 1\\) and \\(n\\) , we will have \\(n\\) in the correct position. This takes \\(n - k\\) moves, and since \\(1 \\leq k \\leq n\\) , the whole process takes at most \\(n - 1\\) moves. \n\nOnce we have put \\(n\\) into the correct position, we can effectively remove the \\(n\\) from both rows, since we are able to arrange the rest of the numbers without touching \\(n\\) again, showing that the problem has now been reduced to the \\(n - 1\\) case. By the inductive hypothesis, the rest of the problem takes at most \\(\\binom{n-1}{2}\\) moves. \n\nHence, the maximum number of moves required is \\(\\binom{n-1}{2}+n-1=\\binom{n}{2}\\) . \n\nTo show that \\(\\binom{n}{2}\\) moves are necessary, we note that the Mad Hatter can write \n\n \n\nto force Alice to use \\(\\binom{n-2}{2}\\) moves. To show this, we define the warp of a permutation as follows: for each number in the permutation, its distance is the number of numbers to right of it which are smaller than itself. Then the warp is the sum of the distances over all the numbers in the permutation. \n\nNote that on each move, the warp of a permutation either increases by 1 or decreases by one. This is because, if we swap the positions of \\(a\\) and \\(a + 1\\) , then the only distance that can change is the distance of \\(a + 1\\) , and this may only increase by 1 (if \\(a + 1\\) started on the right) or decrease by 1 (if \\(a + 1\\) started on the left). \n\nNow, since the warp of the first row at the start is \\((n - 1) + (n - 2) + \\dots +1 = \\binom{n}{2}\\) , and the warp of the second row at the start is 0, the minimum number of moves required to turn the permutation \\(n\\) , \\(n - 1\\) , ..., 1 into the permutation 1, 2, ..., \\(n\\) is \\(\\binom{n}{2}\\) . \n\nWe have thus proven that the answer is \\(\\binom{n}{2}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "NewZealand_MO", "problem": "Determine the largest real number \\(M\\) such that for each infinite sequence \\(x_{0}, x_{1}, x_{2}, \\ldots\\) of real numbers satisfying \\(x_{0} = 1\\) , \\(x_{1} = 3\\) and \n\n\\[x_{0} + x_{1} + \\dots +x_{n - 1}\\geq 3x_{n} - x_{n + 1}\\quad \\mathrm{for~all~}n\\geq 1,\\] \n\nthe inequality \n\n\\[\\frac{x_{n + 1}}{x_{n}} >M\\] \n\nholds for all \\(n \\geq 0\\) .", "solution": ": (Eric Liang) \n\nWe claim that the largest real number \\(M\\) is 2. \n\nFirst we prove by induction on \\(n\\) that \\(\\frac{x_{n}}{x_{i}} > 2^{n - i}\\) for all \\(i \\leq n - 1\\) . \n\nBase case: For \\(n = 1\\) , \\(\\frac{x_{1}}{x_{0}} = 3 > 2\\) . \n\nInductive step: Suppose the inductive hypothesis holds true for \\(n = k\\) , i.e. \\(\\frac{x_{k}}{x_{i}} > 2^{k - i}\\) for all \\(i \\leq k - 1\\) . Then we have that, by the condition in the question, \n\n\\[x_{k + 1}\\geq 3x_{k} - x_{k - 1} - x_{k - 2} - \\dots -x_{0}\\] \\[\\qquad \\geq 3x_{k} - \\frac{1}{2} x_{k} - \\frac{1}{4} x_{k} - \\dots -\\frac{1}{2^{k}} x_{k}\\qquad \\mathrm{(Inductive~Hypothesis)}\\] \\[\\qquad >3x_{k} - x_{k}\\] \\[\\qquad = 2x_{k}\\] \\[\\qquad \\geq 2\\times 2^{k - i}x_{i} = 2^{k + 1 - i}x_{i}\\qquad \\mathrm{(Inductive~Hypothesis)}\\] \n\nThus we have proven that \\(\\frac{x_{k + 1}}{x_{i}} > 2^{k + 1 - i}\\) for all \\(i \\leq k\\) , i.e. the statement for \\(n = k + 1\\) . Thus by induction it is true for all integers \\(n \\geq 1\\) . \n\nHence we have shown that \\(M \\geq 2\\) . \n\nNow we claim that there is a sequence \\(x_{0}, x_{1}, \\ldots\\) satisfying the conditions of the question such that for any \\(\\epsilon > 0\\) which we can find an \\(n\\) such that \\(\\frac{x_{n + 1}}{x_{n}} < 2 + \\epsilon\\) . Let \\(s_{n} = x_{0} + x_{1} + \\dots + x_{n - 1}\\) . Then define the sequence \\(x_{i}\\) such that \\(x_{0} = 1\\) , \\(x_{1} = 3\\) , and \\(x_{n + 1} = 3x_{n} - s_{n}\\) . Note that \\(s_{n + 1} = s_{n} + x_{n}\\) . \n\nWe claim that \\(x_{n} = 2^{n} + n \\times 2^{n - 1}\\) and \\(s_{n} = n \\times 2^{n - 1}\\) . This can be shown by substituting into the recurrence. Hence \n\n\\[\\frac{x_{n + 1}}{x_{n}} = \\frac{2^{n + 1} + (n + 1)\\times 2^{n}}{2^{n} + n\\times 2^{n - 1}}\\] \\[\\qquad = \\frac{4 + 2n + 2}{2 + n}\\] \\[\\qquad = 2 + \\frac{2}{n + 2}\\] \n\nand we simply choose \\(n > \\frac{2}{\\epsilon}\\) to complete the proof.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n6. Problem:", "solution_match": "\nSolution"}} -{"year": "2025", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be a triangle and let \\(D\\) be a point inside the triangle \\(ABC\\) such that \\(AD\\) bisects \\(\\angle BAC\\). Let line \\(BD\\) meet side \\(AC\\) at \\(E\\). Let line \\(CD\\) meet side \\(AB\\) at \\(F\\). Let \\(T\\) be the intersection of the (internal) angle bisectors of \\(\\angle AED\\) and \\(\\angle AFD\\). Prove that if \\(T\\) lies on segment \\(AD\\), then triangle \\(ABC\\) is isosceles.", "solution": "1: (Nico McKinlay) \n\n![](data:image/jpeg;base64,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)\n \n\nAssume \\(T\\) lies on \\(AD\\) . Then by the angle bisector theorem in triangles \\(AED\\) and \\(AFD\\) , we have \n\n\\[\\frac{AE}{ED} = \\frac{AT}{TD} = \\frac{AF}{FD}.\\] \n\nApplying the angle bisector theorem in triangles \\(AEB\\) and \\(AFC\\) , we also have: \n\n\\[\\frac{AE}{ED} = \\frac{AB}{BD\\] \\[\\frac{AF}{FD} = \\frac{AC}{CD\\] \n\nCombining all of the above, we get that \n\n\\[\\frac{AB}{BD} = \\frac{AC}{CD}, \\text { i.e. } \\frac{AB}{AC} = \\frac{BD}{CD}. \\quad (1)\\] \n\nNow extend \\(AD\\) beyond \\(D\\) to meet \\(BC\\) at \\(A'\\) . Applying the angle bisector theorem in triangle \\(ABC\\) , we have \n\n\\[\\frac{AB}{AC} = \\frac{BA'}{CA'}. \\quad (2)\\] \n\nCombining (1) and (2) gives \n\n\\[\\frac{BD}{CD} = \\frac{BA'}{CA'}\\] \n\nBy the converse of the angle bisector theorem, this implies \\(DA'\\) bisects \\(\\angle BDC\\) , i.e., \n\n\\[\\angle BDA' = \\angle CDA'.\\] \n\nTherefore, by angles on a line, we have \n\n\\[\\angle BDA = 180^{\\circ} - \\angle BDA' = 180^{\\circ} - \\angle CDA' = \\angle CDA.\\]\n\n\n\nSince \\(\\angle BAD = \\angle CAD\\) , \\(\\angle BDA = \\angle CDA\\) , and \\(AD = AD\\) , triangles \\(ABD\\) and \\(ACD\\) are congruent (ASA). Then \n\n\\[\\triangle ABD\\equiv \\triangle ACD\\Longrightarrow AB = AC\\] \n\nand we're done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} +{"year": "2025", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be a triangle and let \\(D\\) be a point inside the triangle \\(ABC\\) such that \\(AD\\) bisects \\(\\angle BAC\\). Let line \\(BD\\) meet side \\(AC\\) at \\(E\\). Let line \\(CD\\) meet side \\(AB\\) at \\(F\\). Let \\(T\\) be the intersection of the (internal) angle bisectors of \\(\\angle AED\\) and \\(\\angle AFD\\). Prove that if \\(T\\) lies on segment \\(AD\\), then triangle \\(ABC\\) is isosceles.", "solution": "1: (Nico McKinlay) \n\n![md5:e882fa4ab6ab1d5d106eb7bcfe487c9a](e882fa4ab6ab1d5d106eb7bcfe487c9a.jpeg)\n \n\nAssume \\(T\\) lies on \\(AD\\) . Then by the angle bisector theorem in triangles \\(AED\\) and \\(AFD\\) , we have \n\n\\[\\frac{AE}{ED} = \\frac{AT}{TD} = \\frac{AF}{FD}.\\] \n\nApplying the angle bisector theorem in triangles \\(AEB\\) and \\(AFC\\) , we also have: \n\n\\[\\frac{AE}{ED} = \\frac{AB}{BD\\] \\[\\frac{AF}{FD} = \\frac{AC}{CD\\] \n\nCombining all of the above, we get that \n\n\\[\\frac{AB}{BD} = \\frac{AC}{CD}, \\text { i.e. } \\frac{AB}{AC} = \\frac{BD}{CD}. \\quad (1)\\] \n\nNow extend \\(AD\\) beyond \\(D\\) to meet \\(BC\\) at \\(A'\\) . Applying the angle bisector theorem in triangle \\(ABC\\) , we have \n\n\\[\\frac{AB}{AC} = \\frac{BA'}{CA'}. \\quad (2)\\] \n\nCombining (1) and (2) gives \n\n\\[\\frac{BD}{CD} = \\frac{BA'}{CA'}\\] \n\nBy the converse of the angle bisector theorem, this implies \\(DA'\\) bisects \\(\\angle BDC\\) , i.e., \n\n\\[\\angle BDA' = \\angle CDA'.\\] \n\nTherefore, by angles on a line, we have \n\n\\[\\angle BDA = 180^{\\circ} - \\angle BDA' = 180^{\\circ} - \\angle CDA' = \\angle CDA.\\]\n\n\n\nSince \\(\\angle BAD = \\angle CAD\\) , \\(\\angle BDA = \\angle CDA\\) , and \\(AD = AD\\) , triangles \\(ABD\\) and \\(ACD\\) are congruent (ASA). Then \n\n\\[\\triangle ABD\\equiv \\triangle ACD\\Longrightarrow AB = AC\\] \n\nand we're done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABC\\) be a triangle and let \\(D\\) be a point inside the triangle \\(ABC\\) such that \\(AD\\) bisects \\(\\angle BAC\\). Let line \\(BD\\) meet side \\(AC\\) at \\(E\\). Let line \\(CD\\) meet side \\(AB\\) at \\(F\\). Let \\(T\\) be the intersection of the (internal) angle bisectors of \\(\\angle AED\\) and \\(\\angle AFD\\). Prove that if \\(T\\) lies on segment \\(AD\\), then triangle \\(ABC\\) is isosceles.", "solution": "2: (Nico McKinlay) \n\nLabel the following angles: \n\n\\[a = \\angle EAT = \\angle FAT\\qquad \\theta_{1} = \\angle EDT\\] \\[e = \\angle AET = \\angle DET\\qquad \\theta_{2} = \\angle FDT\\] \\[f = \\angle AFT = \\angle DFT\\] \n\nNow consider the product \n\n\\[\\frac{AT}{ET}\\times \\frac{ET}{DT}\\times \\frac{DT}{FT}\\times \\frac{FT}{AT} = 1.\\] \n\nBy the law of sines (in triangles \\(AET\\) , \\(EDT\\) , \\(DFT\\) and \\(FAT\\) ), this becomes \n\n\\[\\frac{\\sin e}{\\sin a}\\times \\frac{\\sin\\theta_{1}}{\\sin e}\\times \\frac{\\sin f}{\\sin\\theta_{2}}\\times \\frac{\\sin a}{\\sin f} = 1\\] \n\nwhich simplifies to \\(\\sin \\theta_{1} = \\sin \\theta_{2}\\) . Since \\(D\\) lies inside triangle \\(ABC\\) , \n\n\\[\\theta_{1} + \\theta_{2} = \\angle EDF = \\angle BDC = 180^{\\circ} - \\underbrace{\\angle BCD}_{>0} - \\underbrace{\\angle CBD}_{>0} < 180^{\\circ}.\\] \n\nTherefore we have \n\n\\[\\sin \\theta_{1} = \\sin \\theta_{2}\\Longrightarrow \\theta_{1} = \\theta_{2}.\\] \n\ni.e. \\(\\angle EDA = \\angle FDA\\) . We also have \\(\\angle BDF = \\angle CDE\\) (vertically opposite angles). Combining these, \n\n\\[\\angle BDA = \\angle BDF + \\angle FDA\\] \\[\\qquad = \\angle CDE + \\angle EDA\\] \\[\\qquad = \\angle CDA.\\] \n\nFrom here we conclude in the same manner as in Solution 1.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n7. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "NewZealand_MO", "problem": "Show that there are infinitely many triples \\((a, b, c)\\) of positive integers such that \n\n\\[a^{2} + b^{2} + c^{2} + (a + b + c)^{2} = abc.\\]", "solution": ": (James Xu) \n\nNote that \\(a = b = c = 12\\) is a solution. Now, fix \\(c = 12\\) , the original equation becomes. \n\n\\[\\begin{array}{c}{{a^{2}+b^{2}+144+(a+b+12)^{2}=12a b}}\\\\ {{\\Rightarrow2a^{2}+(24-10b)a+(2b^{2}+24b+288)=0}}\\end{array} \\quad (1)\\] \n\nWe see that by Vieta's theorem taking (1) as a polynomial in \\(a\\) , there are 2 solutions of \\(a\\) , adding up to \\(5b - 12\\) . \n\nThus, if \\(a \\leq b\\) then we have a new set of solutions: \\((5b - 12 - a, b, 12)\\) , which by symmetry gives \\((b, 5b - 12 - a, 12)\\) as a bigger set of solutions in \\(a, b\\) (non- strict in \\(a\\) , strict in \\(b\\) as \\(5b - 12 - a \\geq 5b - b - b = 3b > b\\) ) when \\(a, b \\geq 12\\) . \n\nSince we can repeat this process infinitely, as \\(a, b\\) increases they always fulfills the requirement that \\(a, b \\geq 12\\) , thus we can generate infinitely many solutions.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo1_2025_solutions.jsonl", "problem_match": "\n8. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl index 5b5ae5900c151fc4a405dc13fbfc3ef0e8b42268..696dd7c4ec3b0f5784d5618c1f0a875e1dbaa443 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl @@ -3,4 +3,4 @@ {"year": "2019", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(X\\) be the intersection of the diagonals \\(AC\\) and \\(BD\\) of convex quadrilateral \\(ABCD\\) . Let \\(P\\) be the intersection of lines \\(AB\\) and \\(CD\\) , and let \\(Q\\) be the intersection of lines \\(PX\\) and \\(AD\\) . Suppose that \\(\\angle ABX = \\angle XCD = 90^{\\circ}\\) . Prove that \\(QP\\) is the angle bisector of \\(\\angle BQC\\) .", "solution": ": First note that quadrilateral \\(ABCD\\) is cyclic because \\(\\angle ABD = \\angle ACD = 90^{\\circ}\\) . Also, since \\(AP \\perp DX\\) and \\(DP \\perp AX\\) , we see that \\(X\\) is the orthocentre of triangle \\(APD\\) . Hence \\(PX \\perp AD\\) . Therefore quadrilaterals \\(ABXQ\\) and \\(QXCD\\) are cyclic (opposite angles are supplementary). Now we perform a simple angle chase \n\n\\[\\angle XQB = \\angle XAB = \\angle CAB = \\angle CDB = \\angle CDX = \\angle CQX.\\] \n\nSince \\(\\angle XQB = \\angle CQX\\) , it follows that \\(QX\\) is the angle bisector of \\(\\angle CQB\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl", "problem_match": "\n2.", "solution_match": "\nSolution"}} {"year": "2019", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) , \\(b\\) and \\(c\\) be positive real numbers such that \\(a + b + c = 3\\) . Prove that \n\n\\[a^{a} + b^{b} + c^{c}\\geq 3.\\]", "solution": ": We start with a general fact about any positive real number \\(x\\) . There are two cases: either \\(x \\geq 1\\) or \\(x < 1\\) . \n\n- If \\(x \\geq 1\\) then \\(x^{p} \\geq x^{q}\\) for any \\(p > q\\) . Substituting \\(p = x\\) and \\(q = 1\\) gives us \\(x^{x} \\geq x^{1} = x\\) . \n\n- If \\(x < 1\\) then \\(x^{p} < x^{q}\\) for any \\(p > q\\) . Substituting \\(p = 1\\) and \\(q = x\\) gives us \\(x = x^{1} < x^{x}\\) . \n\nIn either case we get \\(x^{x} \\geq x\\) for all positive real numbers \\(x\\) . Applying this fact for \\(a\\) , \\(b\\) and \\(c\\) gives us \n\n\\[a^{a} + b^{b} + c^{c} \\geq a + b + c = 3\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl", "problem_match": "\n3.", "solution_match": "\nSolution"}} {"year": "2019", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Show that for all positive integers \\(k\\) , there exists a positive integer \\(n\\) such that \\(n2^{k} - 7\\) is a perfect square.", "solution": ": Proof by induction on \\(k\\) . For the base cases ( \\(k \\leq 3\\) ) we can simply choose \\(n = 2^{3 - k}\\) to get \\(n2^{k} - 7 = 2^{3} - 7 = 1^{2}\\) . For the inductive step let \\(k \\geq 3\\) and assume there exist integers \\(a\\) and \\(n\\) such that \n\n\\[a^{2} = n2^{k} - 7.\\] \n\nWe will now endeavour to find integers \\(b\\) and \\(m\\) such that \\(b^{2} = m2^{k + 1} - 7\\) . To do this we have two cases: \n\n- If \\(n\\) is even then choose \\(b = a\\) and \\(m = n / 2\\) . Thus \\(b^{2} = (2m)2^{k} - 7 = m2^{k + 1} - 7\\) , as required. \n\n- If \\(n\\) is odd, then note that \\(a\\) must also be odd. Let \\(n = 2x + 1\\) and let \\(a = 2y + 1\\) . Now consider \\((a + 2^{k - 1})^{2}\\) . \n\n\\[(a + 2^{k - 1})^{2} = a^{2} + 2^{k}a + 2^{2k - 2}\\] \\[\\qquad = \\left(n2^{k} - 7\\right) + 2^{k}a + 2^{2k - 2}\\] \\[\\qquad = {\\bigl (}(2x + 1)2^{k} - 7{\\bigr)} + 2^{k}\\left(2y + 1\\right) + 2^{2k - 2}\\] \\[\\qquad = \\left(x + y + 1 + 2^{k - 3}\\right)2^{k + 1} - 7.\\] \n\nSo in this case we can simply choose \\(b = a + 2^{k - 1}\\) and \\(m = x + y + 1 + 2^{k - 3}\\) . \n\nNote here that this inductive step only works when \\(k \\geq 3\\) (otherwise \\(m = x + y + 1 + 2^{k - 3}\\) is not an integer).", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl", "problem_match": "\n4.", "solution_match": "\nSolution"}} -{"year": "2019", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "An equilateral triangle is partitioned into smaller equilateral triangular pieces. Prove that two of the pieces are the same size.", "solution": ": For the purpose of this proof, we will consider a vertex to be any point which is a corner of at least one of the triangular pieces. Define an edge to be any line segment between two vertices, which is part of a side of a triangular piece but does not pass through any other vertex. Note that each vertex must be one of the following types: \n\n- Type \\(A\\) : incident with only 2 edges at \\(60^{\\circ}\\) .- Type \\(B\\) : incident with exactly 4 edges at angles \\(60^{\\circ}, 60^{\\circ}, 60^{\\circ}, 180^{\\circ}\\) .- Type \\(C\\) : incident with exactly 6 edges forming six \\(60^{\\circ}\\) angles. \n\nThere can be no other types of vertex, because all the angles must be \\(60^{\\circ}\\) or \\(180^{\\circ}\\) (or \\(300^{\\circ}\\) in the corners of the original large triangle). We will now colour each edge- end either green or blue, as shown in the diagram (the green edge- ends are also a bit thicker). \n\n![](data:image/jpeg;base64,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)\n \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCABeAHcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooqO4uIrW2luJ3CQxIXdz0VQMk00m3ZASUUgIIBByD0IpaQBRRRQAUUUUAFFRXNzDZ20lzcSCOGNSzsewqWnZ2uAUUUUgCiiigAooooAKQgMCCAQeCD3paKAMfRydPuJdEkJ2wL5lox/igJwF+qH5fpsJ61sVm6zaTSwR3dmu6+s282Fc48wYw0ZPowyPY7T2q3Z3cN9Zw3Vu26KZA6nGDg+o7H2rar769ouu/r/wd/vEuxPRRRWIwooqjq1+dOsGljj824dhHbxZx5kjcKPpnknsAT2qoxcpKK3YFO5/4m+uJZjmz09lmuPR5usaf8B4c+/l+9bVUtKsBptgkBfzZSS80pGDJIxyzfiSeOwwO1XaurJN8sdl/V/n/AMASCiiishhRRRQAUUUUAFFFFABWNb/8SnW2tDxZ37NLB6JN1dP+BDLj3D+1bNU9TsBqNg9vvMcmQ8UoGTHIpyrD6EDjv071rSkk+WWz/q/y/wCAJlyiqWlX51CxEkiCK4RjFcRZz5ci8MPp3B7gg96u1EouLcWMKxbT/ibazJqB5tLItBajs0nSST8PuD6P2aptauZhHFp9m5S9vSURx1iQffk/4CDx/tFR3q/a20NlaQ2tugSGFAiKOwAwK0j7kObq9vTr9+33i3ZLRRRWIwooooAKKKKACiuV8Q+P9H8NamLC+ju2mMYkzFGCMHPqR6Vlf8Lg8N/88dQ/78r/APFVk69OLs5GEsTRi7OSud/RXAf8Lg8N/wDPHUP+/K//ABVH/C4PDf8Azx1D/vyv/wAVU/WaX8yF9bofzI7+iuA/4XB4b/546h/35X/4qj/hcHhv/njqH/flf/iqPrNL+ZB9bofzI6a8/wCJVrEeoDi1uysF0Oyv0jk/9kP1Tsta7usaM7sFRRlmJwAPWvIfG/xm0iLwnexadZ3Et3cJ5EYuIgIxuGCThuwz+OK8MT4l+MPtLSz6/e3Mb8S288paKRe6lOmD0OOxNdSqwqxi7+Xy/wA/+AawnGavB3R9d6MjXkk2tTKQ10AtujDBjgH3eOxb7x78gH7tbFeaaT8a/D99pNrcz2t7HNJGDIiRqVV/4gDu5Gc1c/4XB4b/AOeOof8Aflf/AIqsauLpSk7u36GTxNGLs5I7+iuA/wCFweG/+eOof9+V/wDiqP8AhcHhv/njqH/flf8A4qs/rNL+ZB9bofzI7+iuA/4XB4b/AOeOof8Aflf/AIqj/hcHhv8A546h/wB+V/8AiqPrNL+ZB9bofzI7+iuf8M+MdN8Vm6GnpcL9m27/ADkC/ezjGCf7porWMlJXjsbQnGa5ou6JtU8JaFrV39r1HTkuJ9oTezMOB0HB96pf8K78J/8AQGi/7+P/APFV09FJ0oN3aRLo027uK+45j/hXfhP/AKA0X/fx/wD4qj/hXfhP/oDRf9/H/wDiq6eil7Gn/KvuF7Cl/KvuOY/4V34T/wCgNF/38f8A+Ko/4V34T/6A0X/fx/8A4qunoo9jT/lX3B7Cl/KvuPPvFfwi8O674euLKxtI7G8OGguAzsFcdMjPQ8g/WvE7T4A+NZtWFrcQWtva78Ndm4Vl2+oUHcfoQPwr6toq4xUVZIuMYxVoqxx2mfC7wnp2mW1n/ZizGGMIZXdtzkDljg4yTzVr/hXfhP8A6A0X/fx//iq6eiodKm9XFfcQ6NNu7ivuOY/4V34T/wCgNF/38f8A+Ko/4V34T/6A0X/fx/8A4qunoo9jT/lX3B7Cl/KvuOY/4V34T/6A0X/fx/8A4qj/AIV34T/6A0X/AH8f/wCKrp6KPY0/5V9wewpfyr7jL0fw7pOgGY6XZJbedt8zazHdjOOpPqaK1KKtJJWRpGKirJWCiiimMxtdttQvrjTbaxv7mxjM7SXM1uqlmjVD8mWUgZYr2zgHFctM+qJ8Vrbw+Nf1H+z5NIe8Zf3W7zBLt67OmD0r0KuBuP8Akvdl/wBi7J/6PFAHQaXHd6VqeoW+oarNdWrCOW2ku9ilM7gyAqqg4Kg+vzCtl7q3jRXeeJVcZUlwA30rJ8W+HLTxV4ZvtJuo4yZ4WWKR1z5T4+Vh9Dg1z3huWy8a6J4Xur7TrZhBa/aijxKVWUfuvlHQLneceyelAHZtqNivm7ry3Hk/63Mq/J2+bnj8anR0kQOjBkYZDKcgiuG07TrL/hcmty/ZYQ66ZayAhB99nlBb/ewMZ6/nWRd6lc+G9S+ItrpjCKC101NRto/4YJnjfcVHoSobHTOfU0AemLeWrXJtluYTOvJiDjcPw61NXB23h+/1DwJo1naR2lpNCttdw3nns8iyAq7ORsGWf5g3PO85zXeUAc5481E6R4H1fUkuZreW2t2eJ4mAPmYwg5B4LEVVj0u7sfCUd1qniTUba8hsxJdXRdCqOEyzbSu3AOeMVU+JSi+g8PaE+fJ1TWII5+cZiTMrDjuSgpnxH023sPBd/rET3DXOnoLiFZ53niLKwxujkYo31IyOoINAG14G1bUtc8E6TqerwCC+uId8ihdueSA2O25QG/Guhqrply17pVnduqo88CSMq9AWUHA/OrVABRRRQB//2Q==)\n \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nAn edge- end is coloured green if it touches a Type \\(B\\) vertex along the \\(180^{\\circ}\\) angle, otherwise it is coloured blue. Now observe that there must be exactly 3 vertices of type \\(A\\) (the three corners of the original large triangle before it was partitioned). If there are \\(x\\) vertices of type \\(B\\) and \\(y\\) vertices of type \\(C\\) then this makes a total of \n\n\\((6 + 2x + 6y)\\) blue ends, but only \\((2x)\\) green ends. \n\nNote also that the 6 edges with an endpoint at a type \\(A\\) vertex must all have their other end being green. There are more blue edge- ends than green edge- ends, so it can't be the case that every blue edge- end is connected to a green edge- end. There must therefore be an edge such that both of its ends are blue. Since neither endpoint of such an edge is a type \\(A\\) vertex, we can conclude that all four of the angles at the endpoints of this double blue- ended edge must be \\(60^{\\circ}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nTherefore this edge is a shared side of two triangular pieces. These two triangular pieces must therefore be the same size. \\(\\square\\) \n\nSeptember 2019", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl", "problem_match": "\n5.", "solution_match": "\nSolution"}} +{"year": "2019", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "An equilateral triangle is partitioned into smaller equilateral triangular pieces. Prove that two of the pieces are the same size.", "solution": ": For the purpose of this proof, we will consider a vertex to be any point which is a corner of at least one of the triangular pieces. Define an edge to be any line segment between two vertices, which is part of a side of a triangular piece but does not pass through any other vertex. Note that each vertex must be one of the following types: \n\n- Type \\(A\\) : incident with only 2 edges at \\(60^{\\circ}\\) .- Type \\(B\\) : incident with exactly 4 edges at angles \\(60^{\\circ}, 60^{\\circ}, 60^{\\circ}, 180^{\\circ}\\) .- Type \\(C\\) : incident with exactly 6 edges forming six \\(60^{\\circ}\\) angles. \n\nThere can be no other types of vertex, because all the angles must be \\(60^{\\circ}\\) or \\(180^{\\circ}\\) (or \\(300^{\\circ}\\) in the corners of the original large triangle). We will now colour each edge- end either green or blue, as shown in the diagram (the green edge- ends are also a bit thicker). \n\n![md5:5bbd2bd546501f0b6ffceaf0aa5606a4](5bbd2bd546501f0b6ffceaf0aa5606a4.jpeg)\n \n\n![md5:018509b36f48f8170b65bdbc076f8f1c](018509b36f48f8170b65bdbc076f8f1c.jpeg)\n \n\n![md5:f62fe60f7215cc7178e7522106b9480f](f62fe60f7215cc7178e7522106b9480f.jpeg)\n\n\n\n\nAn edge- end is coloured green if it touches a Type \\(B\\) vertex along the \\(180^{\\circ}\\) angle, otherwise it is coloured blue. Now observe that there must be exactly 3 vertices of type \\(A\\) (the three corners of the original large triangle before it was partitioned). If there are \\(x\\) vertices of type \\(B\\) and \\(y\\) vertices of type \\(C\\) then this makes a total of \n\n\\((6 + 2x + 6y)\\) blue ends, but only \\((2x)\\) green ends. \n\nNote also that the 6 edges with an endpoint at a type \\(A\\) vertex must all have their other end being green. There are more blue edge- ends than green edge- ends, so it can't be the case that every blue edge- end is connected to a green edge- end. There must therefore be an edge such that both of its ends are blue. Since neither endpoint of such an edge is a type \\(A\\) vertex, we can conclude that all four of the angles at the endpoints of this double blue- ended edge must be \\(60^{\\circ}\\) . \n\n![md5:d48c633d9f0fd9e595a6cc1b371d7452](d48c633d9f0fd9e595a6cc1b371d7452.jpeg)\n \n\nTherefore this edge is a shared side of two triangular pieces. These two triangular pieces must therefore be the same size. \\(\\square\\) \n\nSeptember 2019", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2019_solutions.jsonl", "problem_match": "\n5.", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl index 5439c31e7ff6d944a17f8203c8b0c1b482e22fba..34213862c3c78d37d3c0f46dc60a4a16e0c217f6 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl @@ -1,8 +1,8 @@ {"year": "2020", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(P(x) = x^{3} - 2x + 1\\) and let \\(Q(x) = x^{3} - 4x^{2} + 4x - 1\\) . Show that \n\nif \\(P(r) = 0\\) then \\(Q(r^{2}) = 0\\)", "solution": ": Notice that \\(P(x) = x^{3} - 2x + 1 = (x - 1)(x^{2} + x - 1)\\) , and the roots of \\(x^{2} + x - 1\\) are \\(\\frac{- 1\\pm\\sqrt{5}}{2}\\) . Therefore the roots of \\(P(x)\\) are \n\n\\[1, \\frac{\\sqrt{5} - 1}{2} \\text{and} \\frac{-1 - \\sqrt{5}}{2}.\\] \n\nNotice also that \\(Q(x) = x^{3} - 4x^{2} + 4x - 1 = (x - 1)(x^{2} - 3x + 1)\\) , and the roots of \\(x^{2} - 3x + 1\\) are \\(\\frac{3\\pm\\sqrt{5}}{2}\\) . Therefore the roots of \\(Q(x)\\) are \n\n\\[1, \\frac{3 + \\sqrt{5}}{2} \\text{and} \\frac{3 - \\sqrt{5}}{2}.\\] \n\nSo it suffices to check that \\(1^{2} = 1\\) and that \\(\\left(\\frac{- 1\\pm\\sqrt{5}}{2}\\right)^{2} = \\frac{1\\pm 2\\sqrt{5} + 5}{4} = \\frac{3\\pm\\sqrt{5}}{2}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(P(x) = x^{3} - 2x + 1\\) and let \\(Q(x) = x^{3} - 4x^{2} + 4x - 1\\) . Show that \n\nif \\(P(r) = 0\\) then \\(Q(r^{2}) = 0\\)", "solution": "First notice that \n\n\\[(x^{3} - 2x - 1)P(x) = (x^{3} - 2x - 1)(x^{3} - 2x + 1)\\] \\[\\qquad = x^{6} - 4x^{4} + 4x^{2} - 1\\] \\[\\qquad = Q(x^{2}).\\] \n\nIf \\(r\\) is any root of \\(P(x)\\) then \\(P(r) = 0\\) . This implies that \n\n\\[Q(r^{2}) = (r^{3} - 2r + 1)P(r) = (r^{3} - 2r + 1)\\times 0 = 0.\\] \n\nHence \\(r^{2}\\) is a root of \\(Q(x)\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "# Alternative Solution:"}} {"year": "2020", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find the smallest positive integer \\(N\\) satisfying the following three properties. \n\n- \\(N\\) leaves a remainder of 5 when divided by 7. \n\n- \\(N\\) leaves a remainder of 6 when divided by 8. \n\n- \\(N\\) leaves a remainder of 7 when divided by 9.", "solution": ": We notice that \\(\\{5,6,7\\}\\) are each 2 less than \\(\\{7,8,9\\}\\) respectively. Therefore \\(N + 2\\) must be a multiple of 7, 8 and 9. Since 7, 8 and 9 are pairwise coprime, this means that \n\n\\[(N + 2) \\text{is a multiple of} 7 \\times 8 \\times 9 = 504.\\] \n\nTherefore the smallest positive possibility for \\(N + 2\\) is 504. Thus \\(N = 502\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} -{"year": "2020", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "There are 13 marked points on the circumference of a circle with radius 13. Prove that we can choose three of the marked points which form a triangle with area less than 13.", "solution": ": Divide the circle into 6 equal ( \\(60^{\\circ}\\) ) arcs. By the pigeon-hole principle (since \\(13 > 2 \\times 6\\) ) there exists at least one arc which contains at least three of the marked points. Let this \\(60^{\\circ}\\) arc be \\(AB\\) , and let the three marked points be \\(X\\) , \\(Y\\) and \\(Z\\) in that order. \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(M\\) be the midpoint of arc \\(AB\\) . Points \\(X\\) and \\(Z\\) both lie within the minor arc \\(AB\\) so the base of triangle \\(\\triangle XYZ\\) is less than or equal to the base of triangle \\(\\triangle AMB\\) . Also the distance from \\(Y\\) to \\(XZ\\) is less than or equal to the distance from \\(Y\\) to \\(AB\\) , which is at most the distance from \\(M\\) to \\(AB\\) . Hence: the base and height of triangle \\(\\triangle XYZ\\) are less than or equal to the base and height of triangle \\(\\triangle AMB\\) respectively. Therefore \n\n\\[\\mathrm{area}(\\triangle XYZ)\\leq \\mathrm{area}(\\triangle AMB).\\] \n\nSo it suffices to show that \\(\\mathrm{area}(\\triangle AMB)< 13\\) . Let \\(O\\) be the centre of the circle and let \\(D\\) be the foot of the altitude from \\(M\\) to \\(AB\\) . Note that \\(\\triangle ABO\\) is equilateral and \\(D\\) is the midpoint of \\(AB\\) so \\(AD = \\frac{13}{2}\\) . Furthermore, by Pythagoras in \\(\\triangle ADO\\) we get \n\n\\[OD = \\sqrt{OA^{2} - AD^{2}} = \\sqrt{13^{2} - \\left(\\frac{13}{2}\\right)^{2}} = \\frac{13}{2}\\sqrt{3}.\\] \n\n\\[\\Rightarrow MD = MO - OD = 13 - \\frac{13}{2}\\sqrt{3} = 13\\left(1 - \\frac{\\sqrt{3}}{2}\\right).\\] \n\nNow we can calculate the area of triangle \\(\\triangle AMB\\) . The base is \\(AB = 13\\) because \\(ABO\\) is equilateral. The height is \\(MD = 13\\left(1 - \\frac{\\sqrt{3}}{2}\\right)\\) . Therefore \n\n\\[\\mathrm{area}(\\triangle AMB) = \\frac{13 \\times 13\\left(1 - \\frac{\\sqrt{3}}{2}\\right)}{2} = \\frac{169(2 - \\sqrt{3})}{4}.\\] \n\nAnd we can confirm that \\(\\frac{169(2 - \\sqrt{3})}{4} < 13\\) because \n\n\\[\\frac{169(2 - \\sqrt{3})}{4} < 13\\] \\[\\frac{13(2 - \\sqrt{3})< 4}{26 - 13\\sqrt{3} < 4\\] \\[\\frac{22< 13\\sqrt{3}}{22^{2}< 13^{2}\\times 3\\] \\[484< 507.\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} -{"year": "2020", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\Gamma_{1}\\) and \\(\\Gamma_{2}\\) be circles internally tangent at point \\(A\\) , with \\(\\Gamma_{1}\\) inside \\(\\Gamma_{2}\\) . Let \\(BC\\) be a chord of \\(\\Gamma_{2}\\) which is tangent to \\(\\Gamma_{1}\\) at point \\(D\\) . Prove that line \\(AD\\) is the angle bisector of \\(\\angle BAC\\) .", "solution": ": Let \\(\\lambda\\) be the common tangent of \\(\\Gamma_{1}\\) and \\(\\Gamma_{2}\\) at point \\(A\\) . Let \\(P\\) be a point on \\(\\lambda\\) such that \\(P\\) and \\(C\\) are on opposite sides of line \\(AB\\) . Let \\(Q\\) and \\(R\\) be the points of intersection of \\(\\Gamma_{1}\\) with \\(AB\\) and \\(AC\\) respectively. \n\n![](data:image/jpeg;base64,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)\n \n\n\\[\\angle BCA = \\angle BAP\\] \\[\\qquad = \\angle QAP\\] \\[\\qquad = \\angle QRA\\] \n\nTherefore lines \\(BC\\) and \\(QR\\) are parallel. \n\nNow consider \\(\\angle BAD\\) . \n\n\\[\\angle BAD = \\angle QAD\\] \\[\\qquad = \\angle QRD\\] \\[\\qquad = \\angle CDR\\] \\[\\qquad = \\angle DAR\\] \\[\\qquad = \\angle DAC.\\] \n\nSince \\(\\angle BAD = \\angle DAC\\) , we are done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} +{"year": "2020", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "There are 13 marked points on the circumference of a circle with radius 13. Prove that we can choose three of the marked points which form a triangle with area less than 13.", "solution": ": Divide the circle into 6 equal ( \\(60^{\\circ}\\) ) arcs. By the pigeon-hole principle (since \\(13 > 2 \\times 6\\) ) there exists at least one arc which contains at least three of the marked points. Let this \\(60^{\\circ}\\) arc be \\(AB\\) , and let the three marked points be \\(X\\) , \\(Y\\) and \\(Z\\) in that order. \n\n![md5:99abfa9e89b6df2b8bb12a8f787f605a](99abfa9e89b6df2b8bb12a8f787f605a.jpeg)\n \n\nLet \\(M\\) be the midpoint of arc \\(AB\\) . Points \\(X\\) and \\(Z\\) both lie within the minor arc \\(AB\\) so the base of triangle \\(\\triangle XYZ\\) is less than or equal to the base of triangle \\(\\triangle AMB\\) . Also the distance from \\(Y\\) to \\(XZ\\) is less than or equal to the distance from \\(Y\\) to \\(AB\\) , which is at most the distance from \\(M\\) to \\(AB\\) . Hence: the base and height of triangle \\(\\triangle XYZ\\) are less than or equal to the base and height of triangle \\(\\triangle AMB\\) respectively. Therefore \n\n\\[\\mathrm{area}(\\triangle XYZ)\\leq \\mathrm{area}(\\triangle AMB).\\] \n\nSo it suffices to show that \\(\\mathrm{area}(\\triangle AMB)< 13\\) . Let \\(O\\) be the centre of the circle and let \\(D\\) be the foot of the altitude from \\(M\\) to \\(AB\\) . Note that \\(\\triangle ABO\\) is equilateral and \\(D\\) is the midpoint of \\(AB\\) so \\(AD = \\frac{13}{2}\\) . Furthermore, by Pythagoras in \\(\\triangle ADO\\) we get \n\n\\[OD = \\sqrt{OA^{2} - AD^{2}} = \\sqrt{13^{2} - \\left(\\frac{13}{2}\\right)^{2}} = \\frac{13}{2}\\sqrt{3}.\\] \n\n\\[\\Rightarrow MD = MO - OD = 13 - \\frac{13}{2}\\sqrt{3} = 13\\left(1 - \\frac{\\sqrt{3}}{2}\\right).\\] \n\nNow we can calculate the area of triangle \\(\\triangle AMB\\) . The base is \\(AB = 13\\) because \\(ABO\\) is equilateral. The height is \\(MD = 13\\left(1 - \\frac{\\sqrt{3}}{2}\\right)\\) . Therefore \n\n\\[\\mathrm{area}(\\triangle AMB) = \\frac{13 \\times 13\\left(1 - \\frac{\\sqrt{3}}{2}\\right)}{2} = \\frac{169(2 - \\sqrt{3})}{4}.\\] \n\nAnd we can confirm that \\(\\frac{169(2 - \\sqrt{3})}{4} < 13\\) because \n\n\\[\\frac{169(2 - \\sqrt{3})}{4} < 13\\] \\[\\frac{13(2 - \\sqrt{3})< 4}{26 - 13\\sqrt{3} < 4\\] \\[\\frac{22< 13\\sqrt{3}}{22^{2}< 13^{2}\\times 3\\] \\[484< 507.\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} +{"year": "2020", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\Gamma_{1}\\) and \\(\\Gamma_{2}\\) be circles internally tangent at point \\(A\\) , with \\(\\Gamma_{1}\\) inside \\(\\Gamma_{2}\\) . Let \\(BC\\) be a chord of \\(\\Gamma_{2}\\) which is tangent to \\(\\Gamma_{1}\\) at point \\(D\\) . Prove that line \\(AD\\) is the angle bisector of \\(\\angle BAC\\) .", "solution": ": Let \\(\\lambda\\) be the common tangent of \\(\\Gamma_{1}\\) and \\(\\Gamma_{2}\\) at point \\(A\\) . Let \\(P\\) be a point on \\(\\lambda\\) such that \\(P\\) and \\(C\\) are on opposite sides of line \\(AB\\) . Let \\(Q\\) and \\(R\\) be the points of intersection of \\(\\Gamma_{1}\\) with \\(AB\\) and \\(AC\\) respectively. \n\n![md5:ec506ddeedd78c0f7630939e755f3f41](ec506ddeedd78c0f7630939e755f3f41.jpeg)\n \n\n\\[\\angle BCA = \\angle BAP\\] \\[\\qquad = \\angle QAP\\] \\[\\qquad = \\angle QRA\\] \n\nTherefore lines \\(BC\\) and \\(QR\\) are parallel. \n\nNow consider \\(\\angle BAD\\) . \n\n\\[\\angle BAD = \\angle QAD\\] \\[\\qquad = \\angle QRD\\] \\[\\qquad = \\angle CDR\\] \\[\\qquad = \\angle DAR\\] \\[\\qquad = \\angle DAC.\\] \n\nSince \\(\\angle BAD = \\angle DAC\\) , we are done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\Gamma_{1}\\) and \\(\\Gamma_{2}\\) be circles internally tangent at point \\(A\\) , with \\(\\Gamma_{1}\\) inside \\(\\Gamma_{2}\\) . Let \\(BC\\) be a chord of \\(\\Gamma_{2}\\) which is tangent to \\(\\Gamma_{1}\\) at point \\(D\\) . Prove that line \\(AD\\) is the angle bisector of \\(\\angle BAC\\) .", "solution": "Consider the dilation centered at \\(A\\) which sends \\(\\Gamma_{1}\\) to \\(\\Gamma_{2}\\) . This dilation sends point \\(D\\) to the point \\(D^{\\prime} \\in \\Gamma_{2}\\) such that points \\(A\\) , \\(D\\) and \\(D^{\\prime}\\) are colinear. This dilation also sends line \\(BC\\) to the line tangent to \\(\\Gamma_{2}\\) at point \\(D^{\\prime}\\) . Therefore the tangent to \\(\\Gamma_{2}\\) at point \\(D^{\\prime}\\) is parallel to chord \\(BC\\) . Hence \\(D^{\\prime}\\) is the midpoint of arc \\(BC\\) . I.e. \\(BD^{\\prime}\\) and \\(D^{\\prime}C\\) have the same arc- length. Since equal arcs subtend equal angles, we deduce that \\(\\angle BAD^{\\prime} = \\angle D^{\\prime}AC\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "# Alternative Solution:"}} {"year": "2020", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "A sequence of \\(A s\\) and \\(B s\\) is called antipalindromic if writing it backwards, then turning all the \\(A s\\) into \\(B s\\) and vice versa, produces the original sequence. For example \\(A B B A A B\\) is antipalindromic. For any sequence of \\(A s\\) and \\(B s\\) we define the cost of the sequence to be the product of the positions of the \\(A s\\) . For example, the string \\(A B B A A B\\) has cost \\(1\\cdot 4\\cdot 5 = 20\\) . Find the sum of the costs of all antipalindromic sequences of length 2020.", "solution": ": For each integer \\(0\\leq k\\leq 1009\\) define a \\(k\\) - pal to be any sequence of 2020 \\(A s\\) and \\(B s\\) , where the first \\(k\\) terms are \\(B\\) , the last \\(k\\) terms are \\(B\\) , and the middle \\((2020 - 2k)\\) terms form an antipalindromic sequence. \n\nNow for any \\(k\\) , define \\(f(k)\\) to be sum of the costs of all \\(k\\) - pals. Note that any \\(k\\) - pal can be created from a \\((k + 1)\\) - pal by either \n\n- (A) replacing the \\(B\\) in position \\((k + 1)\\) with an \\(A\\) , or \n\n- (B) replacing the \\(B\\) in position \\((2021 - k)\\) with an \\(A\\) . \n\nTherefore the sum of the costs of all \\(k\\) - pals formed using operation (A) is \\((k + 1)\\times f(k + 1)\\) . Similarly the sum of the costs of all \\(k\\) - pals formed using operation (B) is \\((2021 - k)\\times f(k + 1)\\) . Hence \n\n\\[f(k) = (k + 1)f(k + 1) + (2020 - k)f(k + 1) = ((k + 1) + (2020 - k))f(k + 1) = 2021f(k + 1).\\] \n\nNow we note that there are two different 1009- pals, with costs equal to 1010 and 1011 respectively. So \n\n\\[f(1009) = 1010 + 1011 = 2021.\\] \n\nNow if we use the formula \\(f(k) = 2021f(k + 1)\\) iteratively, we get \\(f(1010 - i) = 2021^{i}\\) for each \\(i = 1,2,3,\\ldots\\) . Therefore \n\n\\[f(0) = 2021^{1010}\\] \n\nwhich is our final answer.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2020", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "A sequence of \\(A s\\) and \\(B s\\) is called antipalindromic if writing it backwards, then turning all the \\(A s\\) into \\(B s\\) and vice versa, produces the original sequence. For example \\(A B B A A B\\) is antipalindromic. For any sequence of \\(A s\\) and \\(B s\\) we define the cost of the sequence to be the product of the positions of the \\(A s\\) . For example, the string \\(A B B A A B\\) has cost \\(1\\cdot 4\\cdot 5 = 20\\) . Find the sum of the costs of all antipalindromic sequences of length 2020.", "solution": "Let \\(n\\) be a positive integer. We will find an expression (in terms of \\(n\\) ) for the sum of the costs of all antipalindromes of length \\(2n\\) . Note that a string of \\(A s\\) and \\(B s\\) of length \\(2n\\) is an antipalindrome if and only if for each \\(i\\) , exactly one of the \\(i^{\\mathrm{th}}\\) and \\((2n + 1 - i)^{\\mathrm{th}}\\) letters is an \\(A\\) (and the other is a \\(B\\) ). \n\nLet \\(x_{1},x_{2},\\ldots ,x_{2n}\\) be variables. For any \\(1\\leq a(1)< a(2)< \\dots < a(k)\\leq 2n\\) , consider the string of \\(A s\\) and \\(B s\\) of length \\(2n\\) , such that the \\(a(j)^{\\mathrm{th}}\\) letter is \\(A\\) for all \\(j\\) (and all the other letters are \\(B\\) ). Let this string correspond to the term \\(t = x_{a(1)}x_{a(2)}x_{a(3)}\\dots x_{a(k)}\\) . If \\(x_{i} = i\\) for all \\(i\\) then the value of \\(t\\) is equal to the cost of it's corresponding string. Now consider the expression \n\n\\[y = (x_{1} + x_{2n})(x_{2} + x_{2n - 1})\\cdot \\cdot \\cdot (x_{n} + x_{n + 1}) = \\prod_{j = 1}^{n}(x_{j} + x_{2n + 1 - j}).\\] \n\nIf we expand the brackets then we get \\(2^{n}\\) terms, each in the form \\(t = x_{a(1)}x_{a(2)}x_{a(3)}\\dots x_{a(n)}\\) such that for each \\(j = 1,2,\\ldots ,n\\) either \\(a(j) = j\\) or \\(a(j) = 2n + 1 - j\\) . Therefore \\(y\\) is the sum of all terms that correspond to antipalindromes. Hence if we substitute \\(x_{i} = i\\) for all \\(i\\) , then the value of \\(y\\) would be the sum of the costs of all antipalindromes. So the final answer is: \n\n\\[\\prod_{j = 1}^{n}(j + (2n + 1 - j)) = \\prod_{j = 1}^{n}(2n + 1) = (2n + 1)^{n}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2020_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "# Alternative Solution:"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl index fdb6c8de43fc4969c74b0b700e38357e2c726422..929dad9da5c398b94392d43fe110055ee136f0ca 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl @@ -1,8 +1,8 @@ -{"year": "2021", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a convex quadrilateral such that \\(AB + BC = 2021\\) and \\(AD = CD\\) . We are also given that \n\n\\[\\angle ABC = \\angle CDA = 90^{\\circ}\\] \n\nDetermine the length of the diagonal \\(BD\\) .", "solution": ": Since \\(AD = DC\\) and \\(\\angle ADC = 90^{\\circ}\\) , we can fit four copies of quadrilateral \\(ABCD\\) around vertex \\(D\\) as shown in the diagram. \n\n![](data:image/jpeg;base64,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)\n \n\nThe outer shape is a quadrilateral because \\(\\angle DAB + \\angle BCD = 180^{\\circ}\\) . Moreover it is a rectangle because \\(\\angle ABC = 90^{\\circ}\\) . In fact it is a square with side- length 2021 because of rotational symmetry and \\(AB + BC = 2021\\) . Also \\(D\\) is the centre of the square because it is the centre of the rotational symmetry. So \\(BD\\) is the distance from a vertex to the centre of the square, which is half the length of the diagonal of the square. Thus \n\n\\[BD = \\frac{1}{2}\\left(2021\\sqrt{2}\\right) = \\frac{2021}{\\sqrt{2}}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} +{"year": "2021", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a convex quadrilateral such that \\(AB + BC = 2021\\) and \\(AD = CD\\) . We are also given that \n\n\\[\\angle ABC = \\angle CDA = 90^{\\circ}\\] \n\nDetermine the length of the diagonal \\(BD\\) .", "solution": ": Since \\(AD = DC\\) and \\(\\angle ADC = 90^{\\circ}\\) , we can fit four copies of quadrilateral \\(ABCD\\) around vertex \\(D\\) as shown in the diagram. \n\n![md5:ed8c2107bcb244f3199667fd9acfdb08](ed8c2107bcb244f3199667fd9acfdb08.jpeg)\n \n\nThe outer shape is a quadrilateral because \\(\\angle DAB + \\angle BCD = 180^{\\circ}\\) . Moreover it is a rectangle because \\(\\angle ABC = 90^{\\circ}\\) . In fact it is a square with side- length 2021 because of rotational symmetry and \\(AB + BC = 2021\\) . Also \\(D\\) is the centre of the square because it is the centre of the rotational symmetry. So \\(BD\\) is the distance from a vertex to the centre of the square, which is half the length of the diagonal of the square. Thus \n\n\\[BD = \\frac{1}{2}\\left(2021\\sqrt{2}\\right) = \\frac{2021}{\\sqrt{2}}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a convex quadrilateral such that \\(AB + BC = 2021\\) and \\(AD = CD\\) . We are also given that \n\n\\[\\angle ABC = \\angle CDA = 90^{\\circ}\\] \n\nDetermine the length of the diagonal \\(BD\\) .", "solution": "First let \\(x = AD = DC\\) and \\(a = BD\\) and \\(y = AB\\) and \\(z = BC\\) . Now initially we can apply Pythagoras in triangles \\(CDA\\) and \\(ABC\\) to get \\(x^{2} + x^{2} = AC^{2}\\) and \\(y^{2} + z^{2} = AC^{2}\\) respectively. Putting this together gives us \n\n\\[x^{2} = \\frac{y^{2} + z^{2}}{2}.\\] \n\nNow note that the opposite angles \\(\\angle ABC\\) and \\(\\angle CDA\\) (in quad \\(ABCD\\) ) are supplementary. Therefore \\(ABCD\\) is a cyclic quadrilateral. Equal chords subtend equal arcs (and chords \\(AD = DC\\) are equal) so \\(\\angle ABD = \\angle DBC\\) . Furthermore, since \\(\\angle ABC\\) is a right angle, this means that \\(\\angle ABD = \\angle DBC = 45^{\\circ}\\) . \n\nFor any three points \\(P\\) , \\(Q\\) and \\(R\\) , let \\(|PQR|\\) denote the area of triangle \\(PQR\\) . Now consider the total area of quadrilateral \\(ABCD\\) calculated in two ways: \n\n\\[|ABC| + |CDA| = |ABD| + |DBC|.\\] \n\nWe calculate the areas of the right- angled triangles using the \\(\\triangle = \\frac{b h}{2}\\) formula, and we calculate the area of the \\(45^{\\circ}\\) - angled triangles using the \\(\\triangle = \\frac{1}{2} ab\\sin C\\) formula. \n\n\\[\\frac{yz}{2} +\\frac{x^{2}}{2} = \\frac{1}{2} ay\\sin (45^{\\circ}) + \\frac{1}{2} az\\sin (45^{\\circ})\\] \n\nAt this point we can substitute \\(x^{2} = \\frac{1}{2} (y^{2} + z^{2})\\) into this equation, and rearrange: \n\n\\[\\frac{yz}{2} +\\frac{x^{2}}{2} = \\frac{ay\\sin(45^{\\circ})}{2} +\\frac{az\\sin(45^{\\circ})}{2}\\] \\[\\frac{yz}{2} +\\frac{y^{2} + z^{2}}{4} = \\frac{ay}{2\\sqrt{2}} +\\frac{az}{2\\sqrt{2}}\\] \\[2yz + y^{2} + z^{2} = \\frac{ay + az}{2\\sqrt{2}}\\] \\[\\frac{(y + z)^{2}}{4} = \\frac{a(y + z)}{2\\sqrt{2}}\\] \\[\\frac{y + z}{\\sqrt{2}} = a.\\] \n\nFinally since \\(y + z = 2021\\) this gives our final answer of \\(BD = a = \\frac{2021}{\\sqrt{2}}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "# Alternative Solution:"}} {"year": "2021", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Prove that \n\n\\[x^{2} + \\frac{8}{xy} +y^{2}\\geq 8.\\] \n\nfor all positive real numbers \\(x\\) and \\(y\\) .", "solution": ": Since square numbers are always non- negative we have \n\n\\[(x - y)^{2}\\geq 0\\qquad \\mathrm{and}\\qquad (x y - 2)^{2}\\geq 0.\\] \n\nAlso since \\(x\\) and \\(y\\) are positive we have \\(\\frac{2}{x y} >0\\) . Combining this all together gives us: \n\n\\[(x - y)^{2} + \\frac{2}{xy} (x y - 2)^{2}\\geq 0.\\] \n\nFrom here we expand and simplify: \n\n\\[(x^{2} - 2x y + y^{2}) + \\frac{2}{x y} (x^{2}y^{2} - 4x y + 4)\\geq 0\\] \\[x^{2} - 2x y + y^{2} + 2x y - 8 + \\frac{8}{x y}\\geq 0\\] \\[x^{2} + \\frac{8}{x y} +y^{2}\\geq 8\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Prove that \n\n\\[x^{2} + \\frac{8}{xy} +y^{2}\\geq 8.\\] \n\nfor all positive real numbers \\(x\\) and \\(y\\) .", "solution": "Consider the AM- GM inequality applied to \\(\\left\\{x^{2},\\frac{4}{x y},\\frac{4}{x y},y^{2}\\right\\}\\) \n\n\\[\\frac{x^{2} + \\frac{4}{x y} + \\frac{4}{x y} + y^{2}}{4}\\geq \\sqrt[4]{x^{2}\\times\\frac{4}{x y}\\times\\frac{4}{x y}}\\times y^{2}\\] \\[\\frac{x^{2} + \\frac{8}{x y} + y^{2}}{4}\\geq 2\\] \\[x^{2} + \\frac{8}{x y} + y^{2}\\geq 8.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "# Alternative Solution:"}} {"year": "2021", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(\\{x_{1},x_{2},x_{3},\\ldots ,x_{n}\\}\\) be a set of \\(n\\) distinct positive integers, such that the sum of any 3 of them is a prime number. What is the maximum value of \\(n\\) ?", "solution": ": First we show that \\(n = 4\\) is possible with an example. The example \\(\\{x_{1},x_{2},x_{3},x_{4}\\} = \\{1,3,7,9\\}\\) satisfies the problem because: \n\n\\(\\cdot 1 + 3 + 7 = 11\\) is prime, \n\n\\(\\cdot 1 + 3 + 9 = 13\\) is prime, \n\n\\(\\cdot 1 + 7 + 9 = 17\\) is prime, and \n\n\\(\\cdot 3 + 7 + 9 = 19\\) is prime. \n\nWe still have to prove that \\(n\\geq 5\\) is impossible. \n\nConsider any set \\(\\{x_{1},x_{2},x_{3},\\ldots ,x_{n}\\}\\) such that the sum of any 3 of them is a prime number. Also consider the three \"pigeonholes\" modulo 3; the residue classes 0, 1 and 2. If all three pigeonholes were non- empty, then it would be possible to choose three numbers – one from each pigeonhole. This would result in a sum which is \\(0 + 1 + 2\\equiv 0\\) (mod 3), and since the numbers are distinct positive integers, this sum would be \\(>3\\) . Thus the sum would not be prime which is a contradiction. Hence at least one of the pigeonholes must be empty. i.e. \n\nThe numbers \\(\\{x_{1},\\ldots ,x_{n}\\}\\) are distributed amongst (at most) two different residue classes modulo 3. \n\nNow assume for the sake of contradiction that \\(n\\geq 5\\) . By the pigeonhole principle at least one residue class contains at least 3 of the numbers. The sum of any three numbers from the same residue class is always a multiple of 3 and so this is a contradiction. \n\nTherefore \\(n< 5\\) as required. \n\nComment: The example \\(\\{1,3,7,9\\}\\) is not the only example that satisfies the problem with \\(n = 4\\) . Here are many other examples: \\(\\{1,5,7,11\\}\\) , \\(\\{3,5,11,15\\}\\) , \\(\\{1,3,13,15\\}\\) , \\(\\{3,9,11,17\\}\\) , \\(\\{5,9,15,17\\}\\) , ... Searching for an example when \\(n = 4\\) is much easier if you conjecture that all the \\(x_{i}\\) must be odd.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} -{"year": "2021", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(AB\\) be a chord of circle \\(\\Gamma\\) . Let \\(O\\) be the centre of a circle which is tangent to \\(AB\\) at \\(C\\) and internally tangent to \\(\\Gamma\\) at \\(P\\) . Point \\(C\\) lies between \\(A\\) and \\(B\\) . Let the circumcircle of triangle \\(POC\\) intersect \\(\\Gamma\\) at distinct points \\(P\\) and \\(Q\\) . Prove that \\(\\angle AQP = \\angle CQB\\) .", "solution": ": Construct the tangent line to \\(\\Gamma\\) at \\(P\\) . Note that this line is also tangent to the circle through points \\(C\\) and \\(P\\) with centre \\(O\\) . Also construct point \\(E\\) on this tangent line to the right of \\(P\\) . Note that \\(\\angle EPO = 90^{\\circ}\\) and \\(\\angle OCA = 90^{\\circ}\\) because the radii and tangents are perpendicular. \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(x = \\angle PBQ\\) \n\n\\(\\angle EPQ = x\\) (by alternate segment theorem) \\(\\angle OPQ = x - 90^{\\circ}\\) (because \\(\\angle EPO = 90^{\\circ}\\) ) \\(\\angle QCO = 180^{\\circ} - \\angle OPQ\\) (because opposite angles in a cyclic quad \\(= 270^{\\circ} - x\\) are supplementary) \\(\\angle ACQ = 360^{\\circ} - \\angle QCO - \\angle OCA\\) (angles around point \\(C\\) are \\(360^{\\circ}\\) ) \\(= 360^{\\circ} - (270^{\\circ} - x) - 90^{\\circ}\\) \\(= x\\) . \n\nWe also have \\(\\angle QPB = \\angle QAB\\) (angles subtended by chord \\(QB\\) ) in cyclic quad \\(QAPB\\) . Therefore we have similar triangles \n\n\\[\\triangle QBP\\sim \\triangle QCA\\qquad (\\angle PBQ = \\angle ACQ\\mathrm{~and~}\\angle QPB = \\angle QAC)\\] \n\nHence \\(\\angle AQC = \\angle PQB\\) . Therefore \n\n\\[\\angle AQP = \\angle AQC + \\angle CQP = \\angle PQB + \\angle CQP = \\angle CQB.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} +{"year": "2021", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(AB\\) be a chord of circle \\(\\Gamma\\) . Let \\(O\\) be the centre of a circle which is tangent to \\(AB\\) at \\(C\\) and internally tangent to \\(\\Gamma\\) at \\(P\\) . Point \\(C\\) lies between \\(A\\) and \\(B\\) . Let the circumcircle of triangle \\(POC\\) intersect \\(\\Gamma\\) at distinct points \\(P\\) and \\(Q\\) . Prove that \\(\\angle AQP = \\angle CQB\\) .", "solution": ": Construct the tangent line to \\(\\Gamma\\) at \\(P\\) . Note that this line is also tangent to the circle through points \\(C\\) and \\(P\\) with centre \\(O\\) . Also construct point \\(E\\) on this tangent line to the right of \\(P\\) . Note that \\(\\angle EPO = 90^{\\circ}\\) and \\(\\angle OCA = 90^{\\circ}\\) because the radii and tangents are perpendicular. \n\n![md5:d5576ee95456eaef99d3c209d49a4200](d5576ee95456eaef99d3c209d49a4200.jpeg)\n \n\nLet \\(x = \\angle PBQ\\) \n\n\\(\\angle EPQ = x\\) (by alternate segment theorem) \\(\\angle OPQ = x - 90^{\\circ}\\) (because \\(\\angle EPO = 90^{\\circ}\\) ) \\(\\angle QCO = 180^{\\circ} - \\angle OPQ\\) (because opposite angles in a cyclic quad \\(= 270^{\\circ} - x\\) are supplementary) \\(\\angle ACQ = 360^{\\circ} - \\angle QCO - \\angle OCA\\) (angles around point \\(C\\) are \\(360^{\\circ}\\) ) \\(= 360^{\\circ} - (270^{\\circ} - x) - 90^{\\circ}\\) \\(= x\\) . \n\nWe also have \\(\\angle QPB = \\angle QAB\\) (angles subtended by chord \\(QB\\) ) in cyclic quad \\(QAPB\\) . Therefore we have similar triangles \n\n\\[\\triangle QBP\\sim \\triangle QCA\\qquad (\\angle PBQ = \\angle ACQ\\mathrm{~and~}\\angle QPB = \\angle QAC)\\] \n\nHence \\(\\angle AQC = \\angle PQB\\) . Therefore \n\n\\[\\angle AQP = \\angle AQC + \\angle CQP = \\angle PQB + \\angle CQP = \\angle CQB.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all pairs of integers \\(x, y\\) such that \n\n\\[y^{5} + 2x y = x^{2} + 2y^{4}.\\]", "solution": ": Rearrange and factorize to get \n\n\\[y^{2}(y - 1)(y^{2} - y - 1) = (x - y)^{2}.\\] \n\nNote that \\(y\\) and \\((y - 1)\\) are coprime (their greatest common divisor is 1) because they are consecutive integers. Note since \\(y(y - 1)\\) and \\((y^{2} - y - 1)\\) are consecutive integers, we see that \\((y^{2} - y - 1)\\) is coprime to both \\(y\\) and \\((y - 1)\\) . Therefore the three factors \n\n\\[y^{2},(y - 1)\\mathrm{~and~}(y^{2} - y - 1)\\mathrm{~are~pairwise~coprime}.\\] \n\nSince their product is a perfect square it follows that either: one of \\(y^{2}\\) , \\((y - 1)\\) and \\((y^{2} - y - 1)\\) is zero, or all three of them are perfect squares. So we have four cases: \n\nCase A: \\(y = 0\\) \n\nSubstituting this into the original equation yields \\((0)^{5} + 2x(0) = x^{2} + 2(0)^{4}\\) . Solving this quadratic yields \\(x = 1\\) and so \\((x,y) = (0,0)\\) is the only solution in this case. \n\nCase B: \\(y = 1\\) \n\nSubstituting this into the original equation yields \\((1)^{5} + 2x(1) = x^{2} + 2(1)^{4}\\) . Solving this quadratic yields \\(x = 1\\) and so \\((x,y) = (1,1)\\) is the only solution in this case. \n\nCase C: \\(y^{2} - y - 1< 0\\) \n\nThis rearranges to give us \\((2y - 1)^{2}< 5\\) . But the only odd square less than 5 is 1, and so we would have \\((2y - 1) = \\pm 1\\) . which leads to \\(y = 0,1\\) (but we have already covered this in Cases A and B). \n\nCase D: \\(y^{2} - y - 1 = k^{2}\\) \n\nIf \\(y > 2\\) then \\((y - 1)^{2} = y^{2} - 2y + 1< y^{2} - y - 1< y^{2}\\) . This would give us \\((y - 1)^{2}< k^{2}< y^{2}\\) which is a contradiction because \\((y - 1)^{2}\\) and \\(y^{2}\\) are consecutive squares. \n\nIf \\(y< - 1\\) then \\((- y)^{2}< y^{2} - y - 1< y^{2} - 2y + 1 = (- y + 1)^{2}\\) . This would give us \\(y^{2}< k^{2}< (y - 1)^{2}\\) which is a contradiction because \\((- y)^{2}\\) and \\((- y + 1)^{2}\\) are consecutive squares. \n\nTherefore we must have \\(- 1\\leq y\\leq 2\\) . We have already covered \\(y = 0\\) and \\(y = 1\\) in cases A and B respectively. So it suffices now only to consider \\(y = - 1\\) and \\(y = 2\\) . \n\nIf \\(y = - 1\\) then \\((- 1)^{5} + 2x(- 1) = x^{2} + 2(- 1)^{4}\\) . This rearranges into \\((x + 1)^{2} = - 2\\) which has no real solutions. \n\nIf \\(y = 2\\) then \\(2^{5} + 4x = x^{2} + 2\\times 2^{4}\\) . This rearranges to give \\(x^{2} - 4x = 0\\) which has solutions \\(x = 0\\) and \\(x = 4\\) . \n\nHence in this case we have solutions \\((x,y) = (0,2)\\) and \\((4,2)\\) . \n\nIn summary we have four distinct solutions for \\((x,y)\\) being: \n\n\\[(x,y) = (0,0),(1,1),(0,2)\\mathrm{~and~}(4,2).\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2021", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all pairs of integers \\(x, y\\) such that \n\n\\[y^{5} + 2x y = x^{2} + 2y^{4}.\\]", "solution": "In a similar manner to above get to Case D: \n\n\\[y^{2} - y - 1 = k^{2}.\\] \n\nThen rearrange it to give \\((2y - 1)^{2} - 4k^{2} = 5\\) . This then factorizes as a difference between two squares as \n\n\\[(2y - 1 + 2k)(2y - 1 - 2k) = 5\\] \n\nSince 5 is prime it can only be factored in two ways: \\(5 = 5\\times 1 = (- 5)\\times (- 1)\\) . The sum of these two factors is \\((2y - 1 + 2k) + (2y - 1 - 2k) = 4y - 2\\) . Therefore: \n\n\\[4y - 2 = 5 + 1\\qquad \\mathrm{or}\\qquad 4y - 2 = (-5) + (-1).\\] \n\nFrom \\((4y - 2) = 6\\) we get \\(y = 2\\) , and from \\((4y - 2) = - 6\\) we get \\(y = - 1\\) . \n\nThus we have ruled out all possibilities except for \\(y = - 1,0,1,2\\) . Checking these each individually yields the four answers. \n\n- \\(y = 2\\) yields \\((2)^{5} + 2x(2) = x^{2} + 2(2)^{4}\\) which simplifies to become \\(x^{2} - 4x = 0\\) , and has solutions \\(x = 0\\) and \\(x = 4\\) .- \\(y = 1\\) yields \\((1)^{5} + 2x(1) = x^{2} + 2(1)^{4}\\) which simplifies to become \\(x^{2} - 2x + 1 = 0\\) , and has solution \\(x = 1\\) only.- \\(y = 0\\) yields \\((0)^{5} + 2x(0) = x^{2} + 2(0)^{4}\\) which simplifies to become \\(x^{2} = 0\\) , and has solution \\(x = 0\\) only.- \\(y = -1\\) yields \\((-1)^{5} + 2x(-1) = x^{2} + 2(-1)^{4}\\) which simplifies to \\(x^{2} + 2x + 3 = 0\\) , but this has no real solutions. \n\nThus all solutions are \n\n\\[(x,y) = (0,2),(4,2),(1,1)\\mathrm{~and~}(0,0).\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2021_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "# Alternative Solution:"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl index b8861418cc085eb68cec597e3d4003849743db47..dcb6f9e9a046a15e78575b7dbd82eee6d0843c7d 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl @@ -1,6 +1,6 @@ {"year": "2022", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all integers \\(a, b\\) such that \n\n\\[a^{2} + b = b^{2022}.\\]", "solution": ": (Ethan Ng) \n\nLet \\(g = \\gcd (b, b^{2021} - 1)\\) . Since we cannot have both \\(b\\) and \\((b^{2021} - 1)\\) being zero, \\(g\\) must be a positive integer. Since \\(g|b\\) we must have \\(g|b^{2021}\\) and therefore \n\n\\[g\\mid (b^{20221}) - (b^{2021} - 1) = 1.\\] \n\nHence \\(g = 1\\) and thus \\(b\\) and \\((b^{2021} - 1)\\) are coprime. Since the product \\(b\\times (b^{2021} - 1) =\\) \\(b^{2022} - b = a^{2}\\) is a perfect square, we get both factors \\(b\\) and \\((b^{2021} - 1)\\) must be perfect squares or the negatives of perfect squares, or one of them must be zero. \n\n- If both \\(b\\) and \\((b^{2021} - 1)\\) are positive perfect squares, then let \\(b = x^{2}\\) and \\((b^{2021} - 1) = y^{2}\\) . Therefore \\((x^{2})^{2021} - 1 = y^{2}\\) and thus \n\n\\[1 = x^{4042} - y^{2} = (x^{2021} - y)(x^{2021} + y).\\] \n\nHowever since 1 is prime and the only integer factorizations of 1 are \\(1\\times 1\\) and \\((- 1)\\times (- 1)\\) , we must have \n\n\\[(x^{2021} - y) = (x^{2021} + y)\\] \n\nHence \\(y = 0\\) which is a contradiction. \n\n- If both \\(b\\) and \\((b^{2021} - 1)\\) are negative perfect squares, then let \\(b = -x^{2}\\) and \\((b^{2021} - 1) = -y^{2}\\) . Therefore \\((- x^{2})^{2021} - 1 = -y^{2}\\) and thus \n\n\\[x^{4042} + y^{2} = 1.\\] \n\nHowever the minimum value of \\(x^{4042} + y^{2}\\) is \\(1 + 1 = 2\\) , so this is a contradiction too. \n\n- If \\(b = 0\\) then we get \\(a^{2} + 0 = 0^{2022}\\) . So \\(a = 0\\) and we get the solution \\((a, b) = (0, 0)\\) . \n\n- If \\((b^{2021} - 1) = 0\\) then we get \\(b = 1\\) . So \\(a^{2} + 1 = 1^{2022}\\) . So \\(a = 0\\) and we get the solution \\((a, b) = (0, 1)\\) . \n\nTherefore the only solutions for \\((a, b)\\) are: \\((0, 0)\\) and \\((0, 1)\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all triples \\((a,b,c)\\) of real numbers such that \n\n\\[a^{2} + b^{2} + c^{2} = 1\\qquad \\mathrm{and}\\qquad a(2b - 2a - c)\\geq \\frac{1}{2}.\\]", "solution": ": (Viet Hoang) \n\nThe equations can be rewritten as \n\n\\[a^{2} + b^{2} + c^{2} = 1\\qquad \\mathrm{and}\\qquad 4ab - 4a^{2} - 2ac\\geq 1.\\] \n\nSubstituting the first equation into the second and rearranging yields \n\n\\[4a b - 4a^{2} - 2a c\\geq a^{2} + b^{2} + c^{2}\\] \\[5a^{2} + b^{2} + c^{2} + 2a c - 4a b\\leq 0\\] \\[(2a - b)^{2} + (a + c)^{2}\\leq 0.\\] \n\nHence \\(b = 2a\\) and \\(c = - a\\) . But \\(a^{2} + b^{2} + c^{2} = 1\\) . So \n\n\\[a^{2} + (2a)^{2} + (-a)^{2} = 1\\] \n\nand thus \\(a = \\pm \\frac{1}{\\sqrt{6}}\\) . Therefore the final answers are: \n\n\\[(a,b,c) = \\left(\\frac{1}{\\sqrt{6}},\\frac{2}{\\sqrt{6}},\\frac{-1}{\\sqrt{6}}\\right)\\mathrm{and}\\left(\\frac{-1}{\\sqrt{6}},\\frac{-2}{\\sqrt{6}},\\frac{1}{\\sqrt{6}}\\right).\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(S\\) be a set of 10 positive integers. Prove that one can find two disjoint subsets \\(A = \\{a_{1}, \\ldots , a_{k}\\}\\) and \\(B = \\{b_{1}, \\ldots , b_{k}\\}\\) of \\(S\\) with \\(|A| = |B|\\) such that the sums \n\n\\[x = \\frac{1}{a_{1}} +\\dots +\\frac{1}{a_{k}}\\] \n\nand \n\n\\[y = \\frac{1}{b_{1}} +\\dots +\\frac{1}{b_{k}}\\] \n\ndiffer by less than 0.01; i.e., \\(|x - y|< 1 / 100\\)", "solution": ": (Ishan Nath) \n\nPartition the interval \\((0.00, 2.50]\\) into 250 intervals each of size 0.01. \n\n\\[(0.00, 2.50] = (0.00, 0.01] \\cup (0.01, 0.02] \\cup (0.02, 0.03] \\cup \\dots \\cup (2.49, 2.50].\\] \n\nNow consider all possible sets, \\(S\\) , we can choose from the given 10 positive integers with \\(|S| = 5\\) . Because each of the positive integers must be different, the smallest possible reciprocal sum of one of these sets is \n\n\\[1 + \\frac{1}{2} +\\frac{1}{3} +\\frac{1}{4} +\\frac{1}{5} < 2.50.\\] \n\nTherefore each of these different sets has a reciprocal sum lying somewhere in the interval \\((0.00, 2.50)\\) . The number of such sets \\(S\\) is \\(\\binom{10}{5} = 252\\) but the number of intervals in our partition is only 250. By the pigeonhole principle there exists at least one interval, \\((x, x + 0.01]\\) , and two distinct sets \\(S_{1}, S_{2}\\) such that both reciprocal sums, \n\n\\[\\sum_{s\\in S_{1}}\\frac{1}{s}\\quad \\mathrm{and}\\quad \\sum_{s\\in S_{2}}\\frac{1}{s}\\] \n\nlie in \\((x, x + 0.01]\\) . The reciprocal sums of \\(S_{1}\\) and \\(S_{2}\\) have difference less than \\(1 / 100\\) because they both lie in the interval \\((x, x + 0.01]\\) . If \\(S_{1}\\) and \\(S_{2}\\) are disjoint then we can simply choose \\(A = S_{1}\\) and \\(B = S_{2}\\) . Otherwise let \\(C = S_{1} \\cap S_{2}\\) be the intersection of \\(S_{1}\\) and \\(S_{2}\\) and then let \\(A = S_{1} \\setminus C\\) and let \\(B = S_{2} \\setminus C\\) . The sets \\(A\\) and \\(B\\) are disjoint and equisized because \\(|S_{1}| = |S_{2}|\\) and \\(S_{1} \\neq S_{2}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} -{"year": "2022", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Triangle \\(ABC\\) is right-angled at \\(B\\) and has incentre \\(I\\) . Points \\(D\\) , \\(E\\) and \\(F\\) are the points where the incircle of the triangle touches the sides \\(BC\\) , \\(AC\\) and \\(AB\\) respectively. Lines \\(CI\\) and \\(EF\\) intersect at point \\(P\\) . Lines \\(DP\\) and \\(AB\\) intersect at point \\(Q\\) . Prove that \\(AQ = BF\\) .", "solution": ": (Kevin Shen) \n\nFirst note that \\(ID = IE = IF\\) because they are all radii of the incircle, and \\(\\angle BFI = \\angle BDI = 90^{\\circ}\\) because tangents are perpendicular to radii. Since \\(\\angle ABC = 90^{\\circ}\\) we have \\(BFID\\) a square and so \\(BD = BF = ID\\) too. Thus \\(\\triangle EIF\\) is isosceles and so \\(\\angle IFE = \\angle FEI\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nSince \\(CI\\) is the bisector of \\(\\angle DCE\\) , we see that \\(D\\) and \\(E\\) are reflections of each other over line \\(CIP\\) . Therefore \\(\\angle IDP = \\angle PEI\\) . Hence \n\n\\[\\angle IDP = \\angle FEI = \\angle IFP\\] \n\nand therefore quadrilateral \\(F PID\\) is cyclic. Therefore \\(\\angle FPD = \\angle FID = 90^{\\circ}\\) ( \\(BFID\\) is a square). Since \\(AI\\) is the bisector of \\(\\angle EAF\\) , we see that \\(E\\) and \\(F\\) are reflections of each other over line \\(AI\\) . Therefore \\(EF \\perp AI\\) . Hence \n\n\\[AI||DQ\\] \n\nbecause they are both perpendicular to \\(EF\\) . We also have \\(AQ||ID\\) (because \\(BFID\\) is a square) so \\(QAID\\) is a parallelogram. Therefore \n\n\\[AQ = ID = BF\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} +{"year": "2022", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Triangle \\(ABC\\) is right-angled at \\(B\\) and has incentre \\(I\\) . Points \\(D\\) , \\(E\\) and \\(F\\) are the points where the incircle of the triangle touches the sides \\(BC\\) , \\(AC\\) and \\(AB\\) respectively. Lines \\(CI\\) and \\(EF\\) intersect at point \\(P\\) . Lines \\(DP\\) and \\(AB\\) intersect at point \\(Q\\) . Prove that \\(AQ = BF\\) .", "solution": ": (Kevin Shen) \n\nFirst note that \\(ID = IE = IF\\) because they are all radii of the incircle, and \\(\\angle BFI = \\angle BDI = 90^{\\circ}\\) because tangents are perpendicular to radii. Since \\(\\angle ABC = 90^{\\circ}\\) we have \\(BFID\\) a square and so \\(BD = BF = ID\\) too. Thus \\(\\triangle EIF\\) is isosceles and so \\(\\angle IFE = \\angle FEI\\) . \n\n![md5:c2adea5b9d0e58a2c99f986c72f9a2e8](c2adea5b9d0e58a2c99f986c72f9a2e8.jpeg)\n \n\nSince \\(CI\\) is the bisector of \\(\\angle DCE\\) , we see that \\(D\\) and \\(E\\) are reflections of each other over line \\(CIP\\) . Therefore \\(\\angle IDP = \\angle PEI\\) . Hence \n\n\\[\\angle IDP = \\angle FEI = \\angle IFP\\] \n\nand therefore quadrilateral \\(F PID\\) is cyclic. Therefore \\(\\angle FPD = \\angle FID = 90^{\\circ}\\) ( \\(BFID\\) is a square). Since \\(AI\\) is the bisector of \\(\\angle EAF\\) , we see that \\(E\\) and \\(F\\) are reflections of each other over line \\(AI\\) . Therefore \\(EF \\perp AI\\) . Hence \n\n\\[AI||DQ\\] \n\nbecause they are both perpendicular to \\(EF\\) . We also have \\(AQ||ID\\) (because \\(BFID\\) is a square) so \\(QAID\\) is a parallelogram. Therefore \n\n\\[AQ = ID = BF\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "The sequence \\(x_{1},x_{2},x_{3},\\ldots\\) is defined by \\(x_{1} = 2022\\) and \\(x_{n + 1} = 7x_{n} + 5\\) for all positive integers \\(n\\) . Determine the maximum positive integer \\(m\\) such that \n\n\\[{\\frac{x_{n}(x_{n}-1)(x_{n}-2)\\ldots(x_{n}-m+1)}{m!}}\\] \n\nis never a multiple of 7 for any positive integer \\(n\\) .", "solution": "A: (Ishan Nath) \n\nWe claim the answer is 404. First, we notice that \\(m\\leq 2022\\) . Otherwise, \n\n\\[{\\frac{x_{1}(x_{1}-1)\\cdots(x_{1}-m+1)}{m!}}={\\frac{2022(2022-1)\\cdots(2022-m+1)}{m!}}=0,\\] \n\nwhich is a multiple of 7. Then, since \\(x_{n}\\geq x_{1} = 2022\\) for all \\(n\\) , we can write \n\n\\[{\\frac{x_{n}(x_{n}-1)\\cdots(x_{n}-m+1)}{m!}}={\\frac{x_{n}(x_{n}-1)\\cdots(x_{n}-m+ 1)(x_{n}-m)(x_{n}-m- 1)\\cdots 1}{m!\\times(x_{n}-m)(x_{n}-m- 1)\\cdots 1}}\\] \\[={\\frac{x_{n}!}{m!(x_{n}-m)!}}.\\] \n\nFor a positive integer \\(n\\) , we define \\(\\nu (n)\\) as the exponent of 7 in the prime factorization of \\(n\\) . For example, \\(\\nu (1) = 0\\) and \\(\\nu (98) = 2\\) . Note \\(\\nu (ab) = \\nu (a) + \\nu (b)\\) and \\(\\nu (a / b) = \\nu (a) - \\nu (b)\\) . We prove the following two Lemmas: \n\n- Lemma 1: \n\n\\[\\nu (n!) = \\sum_{i = 1}^{d}\\left\\lfloor {\\frac{n}{7^{i}}}\\right\\rfloor = \\left\\lfloor {\\frac{n}{7}}\\right\\rfloor +\\left\\lfloor {\\frac{n}{49}}\\right\\rfloor +\\dots +\\left\\lfloor {\\frac{n}{7^{d}}}\\right\\rfloor ,\\] \n\nwhere \\(d\\) is the largest integer such that \\(7^{d}\\leq n\\) , for all non- negative integers \\(n\\) . \n\nProof: Note that \n\n\\[\\nu (n!) = \\nu (1) + \\nu (2) + \\dots +\\nu (n).\\] \n\n\\(\\nu (n!)\\) has a contribution of \\(+1\\) for each multiple of seven (less than or equal to \\(n\\) ) and there are \\(\\lfloor n / 7\\rfloor\\) such numbers. Each multiple of 49 contributes another \\(+1\\) to \\(\\nu (n!)\\) , and there are \\(\\lfloor n / 49\\rfloor\\) such numbers. Generally, there is an additional \\(+1\\) contributed for each multiple of \\(7^{i}\\) , of which there are \\(\\lfloor n / 7^{i}\\rfloor\\) numbers. Adding up all these contributions, we get the desired result. \n\n- Lemma 2: \\(\\lfloor x\\rfloor -\\lfloor y\\rfloor -\\lfloor x-y\\rfloor \\geq 0\\) , for all reals \\(x\\) and \\(y\\) , with equality if and only if \\(\\{x\\} \\geq \\{y\\}\\) . \n\nProof: Let \\(x = \\lfloor x\\rfloor +\\{x\\}\\) and \\(y = \\lfloor y\\rfloor +\\{y\\}\\) . Then \\(x - y = \\lfloor x\\rfloor -\\lfloor y\\rfloor +\\{x\\} - \\{y\\}\\) . Since \\(0< \\{x\\} ,\\{y\\} < 1\\) , we have \\(- 1< \\{x\\} - \\{y\\} < 1\\) . \n\n(a) If \\(0\\leq \\{x\\} - \\{y\\} < 1\\) , i.e. \\(\\{x\\} \\geq \\{y\\}\\) , then \\(\\lfloor x - y\\rfloor = \\lfloor x\\rfloor - \\lfloor y\\rfloor\\) , so \\(\\lfloor x\\rfloor = \\lfloor y\\rfloor +\\lfloor x - y\\rfloor\\) . \n\n(b) Otherwise, \\(\\lfloor x - y\\rfloor = \\lfloor x\\rfloor - \\lfloor y\\rfloor - 1\\) , so \\(\\lfloor x\\rfloor >\\lfloor x\\rfloor - 1 = \\lfloor y\\rfloor +\\lfloor x - y\\rfloor\\) .\n\n\n\nNow we can use Lemma 1 to compute \n\n\\[\\nu \\left(\\frac{x_{n}!}{m!(x_{n} - m)!}\\right) = \\nu (x_{n}!) - \\nu (m!) - \\nu ((x_{n} - m)!)\\] \\[\\qquad = \\sum_{i = 1}^{d}\\left\\lfloor \\frac{x_{n}}{\\tau^{i}}\\right\\rfloor -\\sum_{i = 1}^{l_{1}}\\left\\lfloor \\frac{m}{\\tau^{i}}\\right\\rfloor -\\sum_{i = 1}^{l_{2}}\\left\\lfloor \\frac{x_{n} - m}{\\tau^{i}}\\right\\rfloor\\] \\[\\qquad = \\sum_{i = 1}^{d}\\left\\lfloor \\frac{x_{n}}{\\tau^{i}}\\right\\rfloor -\\sum_{i = 1}^{d}\\left\\lfloor \\frac{m}{\\tau^{i}}\\right\\rfloor -\\sum_{i = 1}^{d}\\left\\lceil \\frac{x_{n} - m}{\\tau^{i}}\\right\\rceil\\] \\[\\qquad = \\sum_{i = 1}^{d}\\left(\\left\\lfloor \\frac{x_{n}}{\\tau^{i}}\\right\\rfloor -\\left\\lfloor \\frac{m}{\\tau^{i}}\\right\\rfloor -\\left\\lfloor \\frac{x_{n} - m}{\\tau^{i}}\\right\\rfloor\\right).\\] \n\nHere \\(d\\) is the largest integer such that \\(7^{d} \\leq x_{n}\\) , \\(l_{1}\\) is the largest integer such that \\(7^{l_{1}} \\leq m\\) , and \\(l_{2}\\) is the largest integer such that \\(7^{l_{2}} \\leq x_{n} - m\\) . Increasing the range of the sums does not affect the result, as we are simply adding terms of the form \\(\\lfloor a / 7^{b}\\rfloor\\) , where \\(7^{b} > a\\) , which gives 0. \n\nIf we let \\(x = x_{n} / 7^{i}\\) and \\(y = m / 7^{i}\\) , then this final sum consists of terms of the form \\(\\lfloor x\\rfloor - \\lfloor y\\rfloor - \\lfloor x - y\\rfloor \\geq 0\\) . Therefore, we get that \n\n\\[7\\mathrm{doesn't~divide}\\frac{x_{n}(x_{n} - 1)\\cdot\\cdot\\cdot(x_{n} - m + 1)}{m!}\\] \\[\\mathrm{if~and~only~if~}\\nu \\left(\\frac{x_{n}!}{m!(x_{n} - m)!}\\right) = 0\\] \\[\\mathrm{if~and~only~if~}\\left\\lfloor \\frac{x_{n}}{\\tau^{i}}\\right\\rfloor = \\left\\lfloor \\frac{m}{\\tau^{i}}\\right\\rfloor +\\left\\lfloor \\frac{x_{n} - m}{\\tau^{i}}\\right\\rfloor \\mathrm{for~all~}0\\leq i\\leq d\\] \\[\\mathrm{if~and~only~if~}\\left\\{\\frac{x_{n}}{\\tau^{i}}\\right\\} \\geq \\left\\{\\frac{m}{\\tau^{i}}\\right\\}\\] \\[\\mathrm{for~all~}0\\leq i\\leq d.\\] \n\nby Lemma 2. This must hold for all \\(n\\) . Notice \n\n\\[\\left\\{\\frac{x_{n}}{\\tau^{i}}\\right\\} \\geq \\left\\{\\frac{m}{\\tau^{i}}\\right\\} \\mathrm{if~and~only~if~}\\tau^{i}\\left\\{\\frac{x_{n}}{\\tau^{i}}\\right\\} \\geq \\tau^{i}\\left\\{\\frac{m}{\\tau^{i}}\\right\\} ,\\] \n\nand \\(7^{b}\\{a / 7^{b}\\}\\) is simply the remainder of \\(a\\) modulo \\(7^{b}\\) . Hence we have \n\n\\[\\left\\{\\frac{x_{n}}{\\tau^{i}}\\right\\} \\geq \\left\\{\\frac{m}{\\tau^{i}}\\right\\} \\mathrm{if~and~only~if~}x_{n} \\pmod {7^{i}} \\geq m \\pmod {7^{i}}.\\] \n\nSince \\(x_{1} = 2022 = 5 \\cdot 7^{3} + 6 \\cdot 7^{2} + 1 \\cdot 7^{1} + 6 \\cdot 7^{0}\\) , we inductively get \n\n\\[x_{n} = 5 \\cdot 7^{n + 2} + 6 \\cdot 7^{n + 1} + 1 \\cdot 7^{n} + 6 \\cdot 7^{n - 1} + 5 \\cdot 7^{n - 2} + \\dots + 5 \\cdot 7^{0}.\\] \n\nUsing this, we can find the smallest value of \\(x_{n}\\) (mod \\(7^{i}\\) ): \n\n- For \\(i = 1\\) , the smallest value is \\(5 \\cdot 7^{0}\\) , when \\(n \\geq 2\\) . \n\n- For \\(i = 2\\) , the smallest value is \\(1 \\cdot 7^{1} + 6 \\cdot 7^{0}\\) , when \\(n = 1\\) . \n\n- For \\(i = 3\\) , the smallest value is \\(1 \\cdot 7^{2} + 6 \\cdot 7^{1} + 5 \\cdot 7^{0}\\) , when \\(n = 2\\) . \n\n- For \\(i = 4\\) , the smallest value is \\(1 \\cdot 7^{3} + 6 \\cdot 7^{2} + 5 \\cdot 7^{1} + 5 \\cdot 7^{0}\\) , when \\(n = 3\\) . \n\n- For \\(i \\geq 5\\) , the smallest value is \\(5 \\cdot 7^{3} + 6 \\cdot 7^{2} + 1 \\cdot 7^{1} + 6 \\cdot 7^{0}\\) , when \\(n = 1\\) .\n\n\n\nThus if we write \\(m\\) in the form \\(m = a_{3}\\cdot 7^{3} + a_{2}\\cdot 7^{2} + a_{1}\\cdot 7^{1} + a_{0}\\cdot 7^{0}\\) , where \\(0\\leq a_{i}\\leq 6\\) , we must have \\(a_{0}\\leq 5\\) , \\(a_{1}\\leq 1\\) , \\(a_{2}\\leq 1\\) , and \\(a_{3}\\leq 1\\) , which are necessary and sufficient. \n\nTherefore the maximum integer \\(m\\) is achieved when \\(a_{0} = 5\\) and \\(a_{1} = a_{2} = a_{3} = 1\\) . This gives \\(m = 7^{3} + 7^{2} + 7^{1} + 5 = 404\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2022", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "The sequence \\(x_{1},x_{2},x_{3},\\ldots\\) is defined by \\(x_{1} = 2022\\) and \\(x_{n + 1} = 7x_{n} + 5\\) for all positive integers \\(n\\) . Determine the maximum positive integer \\(m\\) such that \n\n\\[{\\frac{x_{n}(x_{n}-1)(x_{n}-2)\\ldots(x_{n}-m+1)}{m!}}\\] \n\nis never a multiple of 7 for any positive integer \\(n\\) .", "solution": "B: (Ishan Nath) \n\nAs in solution A, we make the observation that \n\n\\[\\frac{x_{n}(x_{n} - 1)\\cdot\\cdot\\cdot(x_{n} - m + 1)}{m!} = \\binom{x_{n}}{m}.\\] \n\n- Lemma: Let \\(a\\) and \\(b\\) be two positive integers with \\(\\overline{a_{k}a_{k - 1}\\cdot\\cdot\\cdot a_{0}}\\) and \\(\\overline{b_{k}b_{k - 1}\\cdot\\cdot\\cdot b_{0}}\\) the base 7 representations of \\(a\\) and \\(b\\) respectively, possibly with leading zeroes. \\(\\binom{a}{b}\\) is not a multiple of 7 if and only if \\(a_{i}\\geq b_{i}\\) for all \\(0\\leq i\\leq k\\) . \n\nProof: By Lucas' Theorem \n\n\\[\\binom{a}{b}\\equiv\\prod_{i=0}^{k}\\binom{a_{k}}{b_{k}}\\pmod{7}.\\] \n\nIn particular, we have \n\n\\[\\binom{a}{b}\\equiv0\\pmod{7}\\mathrm{if~and~only~if~}\\binom{a_{k}}{b_{k}}\\equiv0\\pmod{7}\\mathrm{for~some~}k\\] \\[\\mathrm{if~and~only~if~}a_{k}< b_{k}\\mathrm{~for~some~}k.\\] \n\nNow, note \\(x_{1} = 2022 = 5616\\) in base 7, and thus \\(x_{n} = 5616555\\dots 55\\) in base 7 (where the rightmost \\(n - 1\\) digits are '5's). Let \\(x_{n} = \\overline{a_{k}a_{k - 1}\\cdot\\cdot\\cdot a_{0}}\\) in base 7. Hence if \\(m =\\) \\(\\overline{m_{k}m_{k - 1}\\cdot\\cdot\\cdot m_{0}}\\) , we get that \n\n\\[7\\dagger \\binom{x_{n}}{m}\\mathrm{~for~all~}n\\mathrm{~if~and~only~if~}a_{k}\\geq m_{k}\\mathrm{~for~all~}n,k.\\] \n\nWhen \\(n = 1\\) we have \\(a_{k} = 0\\) for \\(k\\geq 4\\) , so this means \\(m_{k} = 0\\) for \\(k\\geq 4\\) . Also notice that \n\n- \\(a_{0}\\geq 5\\) with equality when \\(n\\geq 2\\) , \n\n- \\(a_{1}\\geq 1\\) with equality when \\(n = 1\\) , \n\n- \\(a_{2}\\geq 1\\) with equality when \\(n = 2\\) , and \n\n- \\(a_{3}\\geq 1\\) with equality when \\(n = 3\\) . \n\nThis implies \\(m_{0}\\leq 5\\) and \\(m_{1},m_{2},m_{3}\\leq 1\\) , which gives necessary and sufficient conditions for \\(m\\) . \n\nThe maximum value of \\(m\\) can now be found by taking the maximum values of all \\(m_{k}\\) . This gives \\(m = 1115\\) in base 7, or \\(m = 404\\) (in base 10).", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2022_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl index 8a5b41de0ec40bdd316faff9c30f3317380e2db4..0ce67eb9d1a19076e3a726d29af116e38835f0fe 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl @@ -4,7 +4,7 @@ {"year": "2023", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) , \\(b\\) and \\(c\\) be positive real numbers such that \\(a + b + c = abc\\) . Prove that at least one of \\(a\\) , \\(b\\) or \\(c\\) is greater than \\(\\frac{17}{10}\\) .", "solution": "A: (Ross Atkins) \n\nWlog assume \\(a\\geq b\\geq c\\) . Therefore \\(a + b + c\\geq 3c\\) . Now for a proof by contradiction, assume \\(a\\leq \\frac{17}{10}\\) and \\(b\\leq \\frac{17}{10}\\) . Since \\(\\left(\\frac{17}{10}\\right)^2 = \\frac{289}{100} < 3\\) , it follows that \\(\\frac{17}{10} < \\sqrt{3}\\) and therefore \\(ab\\leq 3\\) . However this implies: \n\n\\[3c\\leq a + b + c = abc< 3c\\] \n\nwhich is a contradiction.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) , \\(b\\) and \\(c\\) be positive real numbers such that \\(a + b + c = abc\\) . Prove that at least one of \\(a\\) , \\(b\\) or \\(c\\) is greater than \\(\\frac{17}{10}\\) .", "solution": "B: (Michael Albert) \n\nFrom \\(abc = a + b + c\\) we get \n\n\\[1 = \\frac{a + b + c}{abc} = \\frac{1}{bc} +\\frac{1}{ca} +\\frac{1}{ab}\\] \n\nAs all three terms are positive, at least one must be less than or equal to \\(1 / 3\\) and, without loss of generality, we can assume \\(1 / bc\\leq 1 / 3\\) . But then \\(bc\\geq 3\\) and at least one of \\(b\\) or \\(c\\) must be greater than \\(\\sqrt{3}\\) . Since \\(\\sqrt{3} >17 / 10\\) we're done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a\\) , \\(b\\) and \\(c\\) be positive real numbers such that \\(a + b + c = abc\\) . Prove that at least one of \\(a\\) , \\(b\\) or \\(c\\) is greater than \\(\\frac{17}{10}\\) .", "solution": "C: (Ross Atkins) \n\nBy the AM- GM inequality we have \\(\\frac{a + b + c}{3} \\geq \\sqrt[3]{abc}\\) and thus \\(abc \\geq 3\\sqrt[3]{abc}\\) , which rearranges to give \\(\\sqrt[3]{abc} \\geq \\sqrt{3}\\) . Now wlog \\(a \\geq b \\geq c\\) and so \n\n\\[a = \\sqrt[3]{a^3} \\geq \\sqrt[3]{abc} \\geq \\sqrt{3} > \\frac{17}{10}.\\]", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} -{"year": "2023", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a square (vertices labelled in clockwise order). Let \\(Z\\) be any point on diagonal \\(AC\\) between \\(A\\) and \\(C\\) such that \\(AZ > ZC\\) . Points \\(X\\) and \\(Y\\) exist such that \\(AXYZ\\) is a square (vertices labelled in clockwise order) and point \\(B\\) lies inside \\(AXYZ\\) . Let \\(M\\) be the point of intersection of lines \\(BX\\) and \\(DZ\\) (extended if necessary). Prove that \\(C\\) , \\(M\\) and \\(Y\\) are collinear.", "solution": ": (Kevin Shen) \n\nSince \\(Z\\) lies on diagonal \\(AC\\) , we have \\(\\angle DAZ = 45^{\\circ}\\) and \\(\\angle ZAB = 45^{\\circ}\\) . Therefore \\(B\\) lies on diagonal \\(AY\\) of square \\(AXYZ\\) and \\(\\angle BAX = 45^{\\circ}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nSince \\(AB = AD\\) and \\(AX = AZ\\) and \\(\\angle BAX = 45^{\\circ} = \\angle DAZ\\) , we have congruent triangles \n\n\\[\\triangle DAZ\\equiv \\triangle BAX\\qquad (SAS).\\] \n\nTherefore let \\(x = \\angle ZDA = \\angle XBA\\) and \\(y = \\angle AZD = \\angle AXB\\) . By the angle sum in triangle \\(DAZ\\) we have \\(\\angle DAZ + \\angle AZD + \\angle ZDA = 180^{\\circ}\\) . Therefore \\(x + y = 135^{\\circ}\\) . Now by the angle sum in quadrilateral \\(DAXM\\) we get \\(\\angle DAX + \\angle AXM + \\angle XMD + \\angle MDA = 360^{\\circ}\\) . Therefore \n\n\\[\\angle BMD = 90^{\\circ}.\\] \n\nHence \\(ABMCD\\) is cyclic (the circle with diameter \\(BD\\) ). Therefore \n\n\\[\\angle DMC = \\angle DAC = 45^{\\circ}.\\] \n\nAlso \\(AXYMZ\\) is cyclic (the circle with diameter \\(XZ\\) ). Therefore \n\n\\[\\angle YMX = \\angle YAX = 45^{\\circ}.\\] \n\nHence \\(\\angle YMC = \\angle YMX + \\angle YMD + \\angle DMC = 45^{\\circ} + 90^{\\circ} + 45^{\\circ} = 180^{\\circ}\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} +{"year": "2023", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(ABCD\\) be a square (vertices labelled in clockwise order). Let \\(Z\\) be any point on diagonal \\(AC\\) between \\(A\\) and \\(C\\) such that \\(AZ > ZC\\) . Points \\(X\\) and \\(Y\\) exist such that \\(AXYZ\\) is a square (vertices labelled in clockwise order) and point \\(B\\) lies inside \\(AXYZ\\) . Let \\(M\\) be the point of intersection of lines \\(BX\\) and \\(DZ\\) (extended if necessary). Prove that \\(C\\) , \\(M\\) and \\(Y\\) are collinear.", "solution": ": (Kevin Shen) \n\nSince \\(Z\\) lies on diagonal \\(AC\\) , we have \\(\\angle DAZ = 45^{\\circ}\\) and \\(\\angle ZAB = 45^{\\circ}\\) . Therefore \\(B\\) lies on diagonal \\(AY\\) of square \\(AXYZ\\) and \\(\\angle BAX = 45^{\\circ}\\) . \n\n![md5:4202f96cc9b60e6fbaca4c97d9e55390](4202f96cc9b60e6fbaca4c97d9e55390.jpeg)\n \n\nSince \\(AB = AD\\) and \\(AX = AZ\\) and \\(\\angle BAX = 45^{\\circ} = \\angle DAZ\\) , we have congruent triangles \n\n\\[\\triangle DAZ\\equiv \\triangle BAX\\qquad (SAS).\\] \n\nTherefore let \\(x = \\angle ZDA = \\angle XBA\\) and \\(y = \\angle AZD = \\angle AXB\\) . By the angle sum in triangle \\(DAZ\\) we have \\(\\angle DAZ + \\angle AZD + \\angle ZDA = 180^{\\circ}\\) . Therefore \\(x + y = 135^{\\circ}\\) . Now by the angle sum in quadrilateral \\(DAXM\\) we get \\(\\angle DAX + \\angle AXM + \\angle XMD + \\angle MDA = 360^{\\circ}\\) . Therefore \n\n\\[\\angle BMD = 90^{\\circ}.\\] \n\nHence \\(ABMCD\\) is cyclic (the circle with diameter \\(BD\\) ). Therefore \n\n\\[\\angle DMC = \\angle DAC = 45^{\\circ}.\\] \n\nAlso \\(AXYMZ\\) is cyclic (the circle with diameter \\(XZ\\) ). Therefore \n\n\\[\\angle YMX = \\angle YAX = 45^{\\circ}.\\] \n\nHence \\(\\angle YMC = \\angle YMX + \\angle YMD + \\angle DMC = 45^{\\circ} + 90^{\\circ} + 45^{\\circ} = 180^{\\circ}\\) as required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "For any positive integer \\(n\\) , let \\(f(n)\\) be the number of subsets of \\(\\{1,2,\\ldots ,n\\}\\) whose sum is equal to \\(n\\) . Does there exist infinitely many positive integers \\(m\\) such that \\(f(m) = f(m + 1)\\) ? (Note that each element in a subset must be distinct.)", "solution": ": (Michael Albert) \n\nLet \\(S(n)\\) be the set of such subsets. Consider the map from \\(S(n)\\) to \\(S(n + 1)\\) that adds one to the largest element of each \\(A \\in S(n)\\) . This map is an injection (needs proof but easy) and not a surjection provided that \\(S(n + 1)\\) contains a set whose largest and second largest elements differ by one. For even \\(n = 2k \\geqslant 2\\) this is true since we can take \\(\\{k, k + 1\\} \\in S(n + 1)\\) and for odd \\(n = 2k + 1 \\geqslant 5\\) this is true since we can take \\(\\{1, k, k + 1\\}\\) . So for \\(n \\geqslant 5\\) , we must have \\(f(n) < f(n + 1)\\) and there do not exist infinitely many such pairs.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(x\\) , \\(y\\) and \\(z\\) be real numbers such that: \\(x^{2} = y + 2\\) , and \\(y^{2} = z + 2\\) , and \\(z^{2} = x + 2\\) . Prove that \\(x + y + z\\) is an integer.", "solution": "A: (Ross Atkins) \n\nFirst we exclude \\(- 1\\) and 2: \n\n\\(x = 2\\) implies \\(y = 2\\) implies \\(z = 2\\) implies \\(x = 2\\) \n\n\\(x = - 1\\) implies \\(y = - 1\\) implies \\(z = - 1\\) implies \\(x = - 1\\) \n\nIn both these cases we have \\(x + y + z\\) being an integer. So henceforth we assume none of \\(x,y,z\\) are 2 nor \\(- 1\\) . Now let \\(x,y,z\\) be the roots of the following cubic equation. \n\n\\[(\\lambda -x)(\\lambda -y)(\\lambda -z) = \\lambda^{3} - A\\lambda^{2} + B\\lambda -C.\\] \n\nApplying Viete's formula to this cubic gives us \\(A = x + y + z\\) , \\(B = xy + yz + zx\\) and \\(C = xyz\\) . This means that \\(x^{2} + y^{2} + z^{2} = (x + y + z)^{2} - 2(xy + yz + zx) = A^{2} - 2B\\) . Now sum the three given equations ( \\(x^{2} = y + 2\\) and \\(y^{2} = z + 2\\) and \\(z^{2} = x + 2\\) ) to get \n\n\\[A^{2} - 2B = x^{2} + y^{2} + z^{2} = (y + 2) + (z + 2) + (x + 2) = A + 6.\\] \n\n\\[A^{2} - A - 2B = 6. \\quad (1)\\] \n\nNext rearrange the equations to be \\(x^{2} - 1 = y + 1\\) and \\(y^{2} - 1 = z + 1\\) and \\(z^{2} - 1 = x + 1\\) . These can then be multiplied to get \n\n\\[(x^{2} - 1)(y^{2} - 1)(z^{2} - 1) = (y + 1)(z + 1)(x + 1)\\] \\[(x - 1)(x + 1)(y - 1)(y + 1)(z - 1)(z + 1) = (y + 1)(z + 1)(x + 1)\\] \\[(x - 1)(y - 1)(z - 1) = 1\\] \\[xyz - (xy + yz + zx) + (x + y + z) - 1 = 1\\] \n\n\\[B - A + 2 = C \\quad (2)\\] \n\nIn the above algebraic manipulation, we are allowed to cancel the \\((x + 1)(y + 1)(z + 1)\\) factor because none of \\(x,y,z\\) are equal to \\(- 1\\) . Finally rearrange the equations to be \\(x^{2} - 4 = y - 2\\) and \\(y^{2} - 4 = z - 2\\) and \\(z^{2} - 4 = x - 2\\) . These can then be multiplied to get \n\n\\[(x^{2} - 4)(y^{2} - 4)(z^{2} - 4) = (y - 2)(z - 2)(x - 2)\\] \\[(x - 2)(x + 2)(y - 2)(y + 2)(z - 2)(z + 2) = (y - 2)(z - 2)(x - 2)\\] \\[(x + 2)(y + 2)(z + 2) = 1\\] \\[xyz + 2(xy + yz + zx) + 4(x + y + z) + 8 = 1\\] \n\n\\[C + 2B + 4A = -7\\] \n\n\\[C = -4A - 2B - 7 \\quad (3)\\] \n\nIn the above algebraic manipulation, we are allowed to cancel the \\((x - 2)(y - 2)(z - 2)\\) factor because none of \\(x,y,z\\) are equal to 2. Combining equations (2) and (3) gives us \\(B - A + 2 = C = - 4A - 2B - 7\\) which rearranges to give us \\(B = - A - 3\\) . Substituting this into 1 gives us. \n\n\\[A^{2} - A - 2B = 6\\] \\[A^{2} - A - 2(-A - 3) = 6\\] \\[A(A + 1) = 0.\\] \n\nTherefore \\(A = 0\\) or \\(A = - 1\\) both of which are integers. Since \\(A = x + y + z\\) we are done.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} {"year": "2023", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(x\\) , \\(y\\) and \\(z\\) be real numbers such that: \\(x^{2} = y + 2\\) , and \\(y^{2} = z + 2\\) , and \\(z^{2} = x + 2\\) . Prove that \\(x + y + z\\) is an integer.", "solution": "B: (Ross Atkins) \n\nConsider the polynomial \\(P\\) defined by \n\n\\[P(\\lambda) = \\lambda^{8} - 8\\lambda^{6} + 20\\lambda^{4} - 16\\lambda^{2} - \\lambda +2\\] \\[\\qquad = (\\lambda +1)(\\lambda -2)(\\lambda^{3} - 3\\lambda +1)(\\lambda^{3} + \\lambda^{2} - 2\\lambda -1).\\] \n\nIf we substitute \\(z = y^{2} - 2\\) into \\(z^{2} = x + 2\\) gives us \\((y^{2} - 2)^{2} = x + 2\\) . Then substitute \\(y = x^{2} - 2\\) to get \\(\\left((x^{2} - 2)^{2} - 2\\right)^{2} = x + 2\\) . Expanding gives \n\n\\[x^{8} - 8x^{6} + 20x^{4} - 16x^{2} - x + 2 = 0.\\] \n\nTherefore \\(x\\) is a root of the polynomial \\(P\\) . By symmetry we must have all of \\(x,y,z\\) being roots of \\(P\\) . Now we consider cases: \n\nCase 1: at least one of \\(x,y,z\\) is equal to \\(- 1\\) . Wlog assume \\(x = - 1\\) . Using \\(y = x^{2} - 2\\) we get \\(y = - 1\\) . Then using \\(z = y^{2} - 2\\) we get \\(z = - 1\\) . In this case we get \\((x,y,z) = (- 1, - 1, - 1)\\) which has sum \\(- 3\\) which is an integer. \n\nCase 2: at least one of \\(x,y,z\\) is equal to 2. Wlog assume \\(x = 2\\) . Using \\(y = x^{2} - 2\\) we get \\(y = 2\\) . Then using \\(z = y^{2} - 2\\) we get \\(z = 2\\) . In this case we get \\((x,y,z) = (2,2,2)\\) which has sum 6 which is an integer. \n\nCase 3: at least one of \\(x,y,z\\) is a root of \\((\\lambda^{3} - 3\\lambda +1)\\) . Wlog assume \\(x^{3} - 3x + 1 = 0\\) . Note that \\(z = y^{2} - 2 = (x^{2} - 2)^{2} - 2 = x^{4} - 4x + 2\\) . Now consider the sum of \\(x\\) and \\(y = x^{2} - 2\\) and \\(z = x^{4} - 4x + 2\\) , \n\n\\[x + y + z = x + (x^{2} - 2) + (x^{4} - 4x^{2} + 2) = x^{4} - 3x^{2} + x = (x^{3} - 3x + 1)x.\\] \n\nBut since \\(x^{3} - 3x + 1 = 0\\) this means \\(x + y + z = 0\\) in this case. \n\nCase 4: some two of \\(x,y,z\\) are the same. Wlog assume \\(x = y\\) therefore \\(x = y = x^{2} - 2\\) . Hence \n\n\\[0 = x^{2} - x - 2 = (x - 2)(x + 1).\\] \n\nand so \\(x = - 1\\) or \\(x = 2\\) , and this was covered in cases 1 and 2. \n\nCase 5: Since \\(x,y,z\\) are all roots of \\(P\\) , the only remaining possibility is that \\(x,y\\) and \\(z\\) are distinct roots of \\(\\lambda^{3} + \\lambda^{2} - 2\\lambda - 1\\) . By Viete's formula this means that the sum of the roots is \\(- 1\\) in this case. \n\nIn all cases we conclude that \\(x + y + z\\) is an integer. \n\nComment: Each of the eight roots of \\(P\\) lead to genuine solutions. For example the roots of \\(\\lambda^{3} - 3\\lambda + 1\\) are approximately \\(0.3473\\ldots , - 1.8794\\ldots\\) and \\(1.5321\\ldots\\) , and so \n\n\\[(x,y,z) = (0.3473\\ldots , - 1.8794\\ldots ,1.5321\\ldots)\\] \n\nis a valid solution. Similarly, the roots of \\(\\lambda^{3} + \\lambda^{2} - 2\\lambda - 1\\) are approximately \\(1.2470\\ldots , - 0.44504\\ldots\\) and \\(- 1.8019\\ldots\\) , and so \n\n\\[(x,y,z) = (1.2470\\ldots , - 0.44504\\ldots , - 1.8019\\ldots)\\] \n\nis also a valid solution.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2023_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl index 5a48688500013d7cc27aa9820738df0fea9a5d1a..a31ec9f5d7fa29ff835986ff8ae8da94ab446b9c 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl @@ -1,5 +1,5 @@ {"year": "2024", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "At each vertex of a regular 14-gon, lies a coin. Initially 7 coins are heads, and 7 coins are tails. Determine the minimum number \\(t\\) such that it's always possible to turn over at most \\(t\\) of the coins so that in the resulting 14-gon, no two adjacent coins are both heads and no two adjacent coins are both tails.", "solution": "A: (Ross Atkins) \n\nNumber the vertices from 1 to 14. We need to make sure that all the even- numbered vertices are tails and all the odd numbered vertices are heads or vice versa. \n\nLets look at the 7 odd numbered vertices. \n\nWithout loss of generality assume that there are initially more heads than tails on the odd numbered vertices. i.e. we assume that there are initially at least 4 heads on odd numbered vertices. This means there are at most 3 tails on odd numbered vertices and at most 3 heads on even numbered vertices. So we flip all the tails on odd numbered vertices and all the heads on even numbered vertices then the total number of flips required is at most 6. \n\nIf there are exactly 4 heads (and 3 tails) on odd numbered vertices, then we would require at least 3 flips to make all the odd numbered vertices the same, and similarly at least 3 flips to make the off numbered vertices the same. So we cannot guarantee to be able to achieve our goal in fewer than 6 flips.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "# Solution"}} {"year": "2024", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "Consider the sequence \\(a_{1}, a_{2}, a_{3}, \\ldots\\) defined by \\(a_{1} = 2024^{2024}\\) and for each positive integer \\(n\\) , \n\n\\[a_{n + 1} = \\left|a_{n} - \\sqrt{2}\\right|.\\] \n\nProve that there exists an integer \\(k\\) such that \\(a_{k + 2} = a_{k}\\) . \n\nHere \\(|x|\\) denotes the absolute value of \\(x\\) .", "solution": "A: (Ross Atkins) \n\nAs long as \\(a_{n} \\geqslant \\sqrt{2}\\) we have \\(a_{n + 1} = a_{n} - \\sqrt{2}\\) and so the sequence begins with an arithmetic progression with common difference \\(d = - \\sqrt{2}\\) . Let \\(k\\) be the first index such that \\(a_{k} < \\sqrt{2}\\) . So \\(a_{k - 1} \\geqslant \\sqrt{2}\\) . Therefore \n\n\\[a_{k} = a_{k - 1} - \\sqrt{2} \\geqslant \\sqrt{2} - \\sqrt{2} = 0.\\] \n\nThus we have \\(0 \\leq a_{k} < \\sqrt{2}\\) . From this we can calculate \\(a_{k} - \\sqrt{2} < 0\\) and so \\(\\left|a_{k} - \\sqrt{2}\\right| = \\sqrt{2} - a_{k}\\) . \n\n\\[\\Longrightarrow a_{k + 1} = \\left(\\sqrt{2} -a_{k}\\right)\\] \n\nSince \\(a_{k + 1} = \\left(\\sqrt{2} - a_{k}\\right) \\leqslant \\left(\\sqrt{2} - 0\\right) = \\sqrt{2}\\) , this means that \\(\\left(a_{k + 1} - \\sqrt{2}\\right)\\) is negative and thus \n\n\\[a_{k + 2} = \\left|a_{k + 1} - \\sqrt{2}\\right|\\] \\[= \\left(\\sqrt{2} -a_{k + 1}\\right)\\] \\[= \\left(\\sqrt{2} -\\left(\\sqrt{2} -a_{k}\\right)\\right)\\] \\[= a_{k}.\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} -{"year": "2024", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(A, B, C, D, E\\) be five different points on the circumference of a circle in that (cyclic) order. Let \\(F\\) be the intersection of chords \\(BD\\) and \\(CE\\). Show that if \\(AB = AE = AF\\) then lines \\(AF\\) and \\(CD\\) are perpendicular.", "solution": "A: (Ross Atkins) \n\nLet \\(x = \\angle ABF\\) and let \\(y = \\angle BCA\\) . Since \\(\\triangle ABF\\) is isosceles, we get \\(\\angle BFA = x\\) . Since \\(AB = AE\\) , it follows that arcs \\(BA\\) and \\(AE\\) are equal. Since equal arcs subtend equal angles, every angle subtended by either arc \\(AB\\) or \\(AE\\) must be equal to \\(\\angle BCA = y\\) . \n\n\\[\\Rightarrow \\angle BCA = \\angle BDA = \\angle ACE = \\angle ADE = y.\\] \n\n![](data:image/jpeg;base64,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)\n \n\nSince opposite angles in a cyclic quadrilateral (ABDE) are supplementary, we get \\(\\angle ABD + \\angle DEA = 180^{\\circ}\\) . Therefore \\(\\angle DEA = 180^{\\circ} - x\\) . Now consider triangles \\(AED\\) and \\(AFD\\) . We have \n\n\\[\\angle ADE = y = \\angle ADF \\text{ and } \\angle AED = 180^{\\circ} - x = \\angle AFD\\] \n\nand side \\(AD\\) is shared. Therefore these triangles are congruent: \\(\\triangle AED \\equiv \\triangle AFD\\) . Hence \n\n\\[\\angle EAD = \\angle DAF = x - y. \\qquad (\\text{angle sum in} \\triangle AFD)\\] \n\nNow let \\(P\\) be the intersection of \\(AD\\) and \\(EF\\) . Also let \\(Q\\) be the intersection of \\(AF\\) and \\(CD\\) . Since \\(AP\\) is the angle bisector of isosceles triangle \\(AEF\\) , we have \n\n\\[\\angle APF = 90^{\\circ}.\\] \\[\\Rightarrow \\angle AFP = 90^{\\circ} + y - x \\qquad (\\text{angle sum in} \\triangle AFP)\\] \\[\\angle CFQ = 90^{\\circ} + y - x \\qquad (\\text{vertically opposite})\\] \n\nFinally we get \\(\\angle ECD = \\angle EAD = x - y\\) by the Bow Tie Theorem (ACDE cyclic). Therefore \\(\\angle FCQ = x - y\\) . Now consider the sum of the angles in triangle \\(FCQ\\) to get \n\n\\[\\angle CQF + (x - y) + (90^{\\circ} + y - x) = 180^{\\circ}\\] \n\n\\[\\Rightarrow \\angle CQF = 90^{\\circ}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} +{"year": "2024", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(A, B, C, D, E\\) be five different points on the circumference of a circle in that (cyclic) order. Let \\(F\\) be the intersection of chords \\(BD\\) and \\(CE\\). Show that if \\(AB = AE = AF\\) then lines \\(AF\\) and \\(CD\\) are perpendicular.", "solution": "A: (Ross Atkins) \n\nLet \\(x = \\angle ABF\\) and let \\(y = \\angle BCA\\) . Since \\(\\triangle ABF\\) is isosceles, we get \\(\\angle BFA = x\\) . Since \\(AB = AE\\) , it follows that arcs \\(BA\\) and \\(AE\\) are equal. Since equal arcs subtend equal angles, every angle subtended by either arc \\(AB\\) or \\(AE\\) must be equal to \\(\\angle BCA = y\\) . \n\n\\[\\Rightarrow \\angle BCA = \\angle BDA = \\angle ACE = \\angle ADE = y.\\] \n\n![md5:1459827f090f482be9f6eaef8839de05](1459827f090f482be9f6eaef8839de05.jpeg)\n \n\nSince opposite angles in a cyclic quadrilateral (ABDE) are supplementary, we get \\(\\angle ABD + \\angle DEA = 180^{\\circ}\\) . Therefore \\(\\angle DEA = 180^{\\circ} - x\\) . Now consider triangles \\(AED\\) and \\(AFD\\) . We have \n\n\\[\\angle ADE = y = \\angle ADF \\text{ and } \\angle AED = 180^{\\circ} - x = \\angle AFD\\] \n\nand side \\(AD\\) is shared. Therefore these triangles are congruent: \\(\\triangle AED \\equiv \\triangle AFD\\) . Hence \n\n\\[\\angle EAD = \\angle DAF = x - y. \\qquad (\\text{angle sum in} \\triangle AFD)\\] \n\nNow let \\(P\\) be the intersection of \\(AD\\) and \\(EF\\) . Also let \\(Q\\) be the intersection of \\(AF\\) and \\(CD\\) . Since \\(AP\\) is the angle bisector of isosceles triangle \\(AEF\\) , we have \n\n\\[\\angle APF = 90^{\\circ}.\\] \\[\\Rightarrow \\angle AFP = 90^{\\circ} + y - x \\qquad (\\text{angle sum in} \\triangle AFP)\\] \\[\\angle CFQ = 90^{\\circ} + y - x \\qquad (\\text{vertically opposite})\\] \n\nFinally we get \\(\\angle ECD = \\angle EAD = x - y\\) by the Bow Tie Theorem (ACDE cyclic). Therefore \\(\\angle FCQ = x - y\\) . Now consider the sum of the angles in triangle \\(FCQ\\) to get \n\n\\[\\angle CQF + (x - y) + (90^{\\circ} + y - x) = 180^{\\circ}\\] \n\n\\[\\Rightarrow \\angle CQF = 90^{\\circ}\\] \n\nas required.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl", "problem_match": "\n3. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "Determine all positive integers \\(n\\) less than 2024 such that for all positive integers \\(x\\) , the greatest common divisor of \\(9x + 1\\) and \\(nx + 1\\) is 1.", "solution": "A: (Ross Atkins) \n\nLet \\(m = (n - 9)\\) and for the sake of contradiction assume \\(m\\) has a prime factor \\(p\\) with \\(p \\neq 3\\) . Express \\(p = 9q + r\\) where \\(0 \\leq r \\leq 8\\) ( \\(r\\) is the remainder when \\(p\\) is divided by 9 and \\(q\\) may be zero). Since \\(\\gcd (9, p) = 1\\) we must have \\(r = 1, 2, 4, 5, 7\\) or 8. For each of these possibilities we will use a different choice for \\(x\\) to get our contradiction. \n\nif \\(r = 1\\) then choose \\(x = q\\) so that \\((9x + 1) = 9q + 1 = p\\) \n\nif \\(r = 2\\) then choose \\(x = 5q + 1\\) so that \\((9x + 1) = 45q + 10 = 5p\\) \n\nif \\(r = 4\\) then choose \\(x = 7q + 3\\) so that \\((9x + 1) = 63q + 28 = 7p\\) \n\nif \\(r = 5\\) then choose \\(x = 2q + 1\\) so that \\((9x + 1) = 18q + 10 = 2p\\) \n\nif \\(r = 7\\) then choose \\(x = 4q + 3\\) so that \\((9x + 1) = 36q + 28 = 4p\\) \n\nif \\(r = 8\\) then choose \\(x = 8q + 7\\) so that \\((9x + 1) = 72q + 64 = 8p\\) \n\nIn any we can choose \\(x\\) so that \\((9x + 1)\\) is a multiple of \\(p\\) . For this particular value of \\(x\\) we have \n\n\\[(n x + 1) = m x + (9 x + 1),\\] \n\nand so \\((n x + 1)\\) is a multiple of \\(p\\) too (recall \\(p|m\\) ). Therefore \\(p\\) would be a common factor of \\((9x + 1)\\) and \\((n x + 1)\\) . This is a contradiction so no such \\(p\\) can exist. \n\nSo \\(m = (n - 9)\\) cannot have any prime factors other than 3. Hence \\(m = 3^{k}\\) or \\(m = - 3^{k}\\) for some integer \\(k \\geq 0\\) . i.e. \n\n\\[n = 9 + m = 9 + 3^{k} \\text{ or } 9 - 3^{k}\\] \n\nThe positive integers of this form, less than 2024 are: 6, 8, 10, 12, 18, 36, 90, 252, 738. \n\nTo show all these work, we now assume \\(n = 9 \\pm 3^{k}\\) for some integer \\(k \\geq 0\\) , and let \\(g = \\gcd (9x + 1, nx + 1)\\) . Since \\(9x + 1\\) is not a multiple of 3, we cannot have \\(g\\) being a multiple of 3. However \n\n\\[g \\mid (n x + 1) - (9 x + 1) = \\pm 3^{k}.\\] \n\nThe only divisors of \\(3^{k}\\) which are not a multiple of 3 are 1 and \\(- 1\\) . Therefore \\(g = 1\\) whenever \\(n = 9 \\pm 3^{k}\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2024", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Determine the least real number \\(L\\) such that \n\n\\[\\frac{1}{a} +\\frac{a}{b} +\\frac{b}{c} +\\frac{c}{d}\\leqslant L\\] \n\nfor all quadruples \\((a,b,c,d)\\) of integers satisfying \\(1< a< b< c< d\\)", "solution": ": (Ross Atkins) \n\nAnswer: 3. To solve this problem, two parts are required. Part A shows that \\(L = 3\\) works. Part B shows that no \\(L^{\\prime}< 3\\) works. \n\nPart A We show that for all quadruples \\((a,b,c,d)\\) (with \\(1< a< b< c< d\\) ) we have \n\n\\[\\frac{1}{a} +\\frac{a}{b} +\\frac{b}{c} +\\frac{c}{d}\\leqslant 3.\\] \n\nWe do this by considering the two cases \\(b = a + 1\\) and \\(b\\geq a + 2\\) seperately. \n\nIf \\(b\\geq a + 2\\) then we can get \n\n\\[\\frac{1}{a} +\\frac{a}{b} +\\frac{b}{c} +\\frac{c}{d}\\leqslant \\frac{1}{a} +\\frac{a}{a + 2} +\\frac{b}{c} +\\frac{c}{d\\] \\[\\qquad < \\frac{1}{a} +\\frac{a}{a + 2} +1 + 1\\] \\[\\qquad = \\frac{2 - a}{a(a + 2)} +3\\quad \\leqslant 3\\] \n\nThe numerator \\((2 - a)\\) is non- positive because \\(1< a\\) and \\(a\\) is an integer. If \\(b = a + 1\\) then we can get \n\n\\[\\frac{1}{a} +\\frac{a}{b} +\\frac{b}{c} +\\frac{c}{d} = \\frac{1}{a} +\\frac{a}{a + 1} +\\frac{a + 1}{c} +\\frac{c}{d\\] \\[\\qquad < \\frac{1}{a} +\\frac{a}{a + 1} +\\frac{a + 1}{c} +1\\] \\[\\qquad \\leqslant \\frac{1}{a} +\\frac{a}{a + 1} +\\frac{a + 1}{a + 2} +1\\] \\[\\qquad = \\frac{2 - a^{2}}{a(a + 1)(a + 2)} +3\\quad < 3.\\] \n\nThe numerator \\((2 - a^{2})\\) is negative because \\(1< a\\) and \\(a\\) is an integer. In either case we get \\(\\frac{1}{a} +\\frac{a}{b} +\\frac{b}{c} +\\frac{c}{d}\\leqslant 3\\) for all quadruples \\((a,b,c,d)\\)\n\n\n\n- Part B For the sake of contradiction, suppose there existed some \\(L^{\\prime}< 3\\) which worked. We will show that there exists a quadruple \\((a,b,c,d)\\) such that \n\n\\[\\frac{1}{a} +\\frac{a}{b} +\\frac{b}{c} +\\frac{c}{d} >L^{\\prime}.\\] \n\nWe will do this explicitly by choosing \\(a,b,c,d\\) to be large consecutive integers. If \\(L^{\\prime} = 3 - \\epsilon\\) then we have \\(\\epsilon >0\\) , and so there exists some integer \\(n\\) such that \\(n > \\frac{3}{\\epsilon}\\) . This ensures \\(\\frac{1}{n + 1}\\) , \\(\\frac{1}{n + 2}\\) and \\(\\frac{1}{n + 3}\\) are each smaller than \\(\\frac{\\epsilon}{3}\\) . Now consider \\((a,b,c,d) = (n,n + 1,n + 2,n + 3)\\) . \n\n\\[{\\frac{1}{a}}+{\\frac{a}{b}}+{\\frac{b}{c}}+{\\frac{c}{d}}>{\\frac{a}{b}}+{\\frac{b}{c}}+{\\frac{c}{d}}\\] \\[\\qquad={\\frac{n}{n+1}}+{\\frac{n+1}{n+2}}+{\\frac{n+2}{n+3}}\\] \\[\\qquad=3-{\\left({\\frac{1}{n+1}}+{\\frac{1}{n+2}}+{\\frac{1}{n+3}}\\right)}\\] \\[\\qquad>3-{\\left({\\frac{\\epsilon}{3}}+{\\frac{\\epsilon}{3}}+{\\frac{\\epsilon}{3}}\\right)}\\] \\[\\qquad=L^{\\prime}\\] \n\nContradiction.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2024_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} diff --git a/NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl b/NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl index 756b027fc1468406183f9915ea93da44c6572426..f28e3ad9721270bab83951102965ba36f2f0a579 100644 --- a/NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl +++ b/NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl @@ -1,5 +1,5 @@ {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "NewZealand_MO", "problem": "Find all pairs of positive integers \\(m\\) and \\(n\\) such that the centres of the unit squares in a \\(m\\) by \\(n\\) grid of unit squares can be paired up so that the distance between the centres of each pair is exactly 2. \n\n(A unit square has side length 1. )", "solution": ": (Tony Wang) \n\nWe will show that the answer is all pairs \\((a,b)\\) where either \\(a\\) or \\(b\\) (or both) is a multiple of 4. First, partition the grid into four subgrids \\(A\\) , \\(B\\) , \\(C\\) , and \\(D\\) \n\n
ABABAB
CDCDCD
ABABAB
CDCDCD
\n\nNote that, for any given square \\(s\\) , all the square centres that are exactly 2 away from the centre of \\(s\\) are in the same partition as \\(s\\) itself. This means that \\(s\\) must be paired with some square which is in the same partition as itself. Hence, each partition of squares must have an even number of squares. Meanwhile, if each partition of squares has an even number of squares, one of the dimensions of the subgrid must be even, and hence we can pair up the squares along that even dimension. \n\nHence, it suffices to find all values of \\(a\\) and \\(b\\) which create four subgrids which all have an even number of squares. Consider \\(a\\) modulo 4: if \\(a \\equiv 0\\) (mod 4), then all subgrids will have an even dimension along the axis of \\(a\\) . Otherwise, at least one of the subgrids will have an odd dimension along the axis of \\(a\\) . The same reasoning holds for \\(b\\) . Hence, if neither \\(a\\) nor \\(b\\) are multiples of 4, then one of the partitions will have an odd number of squares. However, if either \\(a\\) or \\(b\\) is a multiple of 4, then all partitions will have an even number of squares. Hence, we have shown that the answer is all pairs \\((a,b)\\) where either \\(a\\) or \\(b\\) (or both) is a multiple of 4.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl", "problem_match": "\n1. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "NewZealand_MO", "problem": "For which positive integers \\(n\\) , does there exist a sequence of real numbers \\((x_{1}, x_{2}, \\ldots , x_{n})\\) such that \n\n- \\(-2 < x_{i} < 2\\) for all \\(i\\) ,- \\(x_{1} + x_{2} + x_{3} + \\dots + x_{n} = 0\\) , and- \\(x_{1}^{4} + x_{2}^{4} + x_{3}^{4} + \\dots + x_{n}^{4} \\geqslant 32\\) .", "solution": ": (Eric Liang) \n\nNote that if \\(n = j\\) works then \\(n > j\\) also works for a positive integer \\(j\\) as we can just set \\(x_{i} = 0\\) for \\(n \\geq i > j\\) and have \\(x_{1}, \\ldots , x_{n}\\) be the sequence that worked for \\(n\\) . \n\nConsider \\(n = 4\\) . We take \\(x_{1}, x_{2} = \\sqrt[4]{8}\\) and \\(x_{3}, x_{4} = -\\sqrt[4]{8}\\) and all conditions are satisfied. Thus all \\(n \\geq 4\\) works.\n\n\n\nNow if \\(n = 2\\) , we note \\(|x_{1}|,|x_{2}|< 2\\) and thus \\(x_{1}^{4},x_{2}^{4}< 16\\) so \\(x_{1}^{4} + x_{2}^{4}< 32\\) . Contradiction. \n\nIf \\(n = 3\\) , then wlog \\(x_{1},x_{2}\\geq 0\\) and \\(x_{3}\\leq 0\\) (as flipping the signs won't affect any of the conditions). \n\nNow as \\(x_{1} + x_{2} = - x_{3}< 2\\) , we get that \\((x_{1} + x_{2})^{4}< 16\\) . But if we expand this out we get \\(16 > (x_{1} + x_{2})^{4} = x_{1}^{4} + 4x_{1}^{3}x_{2} + 6x_{1}^{2}x_{2}^{2} + 4x_{1}x_{2}^{3} + x_{2}^{4}\\geq x_{1}^{4} + x_{2}^{4}\\) (as \\(x_{1},x_{2}\\geq 0\\) ). \n\nThus \\(x_{1}^{4} + x_{2}^{4}< 16\\) but also note that \\(x_{3}^{4}< 16\\) , thus \\(x_{1}^{4} + x_{2}^{4} + x_{3}^{4}< 32\\) . Contradiction. \n\nThus, a sequence only exists for integers \\(n\\geq 4\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl", "problem_match": "\n2. Problem:", "solution_match": "\nSolution"}} -{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(A B C\\) be an acute scalene triangle with \\(A C > B C > A B\\) . Let the orthocentre be \\(H\\) and circumcentre be \\(O\\) . Suppose that lines \\(B O\\) and \\(C H\\) intersect at a point \\(D\\) . Point \\(E\\) (where \\(E\\neq C\\) ) lies on side \\(A C\\) so that \\(O E C D\\) is cyclic. Point \\(F\\) (where \\(F\\neq C\\) ) lies on side \\(B C\\) such that \\(C E = F E\\) . Prove that \\(B H D F\\) is cyclic. \n\n(The orthocentre of a triangle is the point of intersection of its altitudes.)", "solution": ": (Nico McKinlay & George Zhu) \n\nLet \\(\\alpha = \\angle B A C\\) . Let \\(B B^{\\prime}\\) and \\(C C^{\\prime}\\) be altitudes in triangle \\(A B C\\) , as shown. \n\n![](data:image/jpeg;base64,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)\n \n\nClaim. Triangle \\(C D E\\) is isosceles with \\(C E = D E\\) . \n\nProof. \n\n\\[\\angle D E C = \\angle D O C\\] \\[\\qquad = \\angle B O C\\] \\[\\qquad = 2\\angle B A C\\] \\[\\qquad = 2\\alpha\\] \n\n\\[\\angle D C E = \\angle C^{\\prime}C A = 90^{\\circ} - \\angle C^{\\prime}A C\\] \\[\\qquad = 90^{\\circ} - \\alpha\\]\n\n\n\n\\[\\begin{array}{r l} & {\\angle C D E = 180^{\\circ} - \\angle D E C - \\angle D C E}\\\\ & {\\qquad = 180^{\\circ} - 2\\alpha -(90^{\\circ} - \\alpha)}\\\\ & {\\qquad = 90^{\\circ} - \\alpha}\\\\ & {\\qquad = \\angle D C E.} \\end{array} \\quad (angle sum in \\triangle C D E)\\] \n\nSince \\(C E = D E\\) and \\(C E = F E\\) , we have \\(C E = D E = F E\\) , therefore \\(E\\) is the circumcentre of triangle \\(C D F\\) . Consequently, \n\n\\[\\begin{array}{r l} & {\\angle H D F = 180^{\\circ} - \\angle C D F}\\\\ & {\\qquad = 180^{\\circ} - \\frac{1}{2}\\cdot \\angle C E F}\\\\ & {\\qquad = 180^{\\circ} - \\frac{1}{2}\\bullet (180^{\\circ} - 2\\angle E C F)}\\\\ & {\\qquad = 180^{\\circ} - \\frac{1}{2}\\bullet (180^{\\circ} - 2\\angle B^{\\prime}C B)}\\\\ & {\\qquad = 180^{\\circ} - (90^{\\circ} - \\angle B^{\\prime}C B)}\\\\ & {\\qquad = 180^{\\circ} - \\angle B^{\\prime}B C}\\\\ & {\\qquad = 180^{\\circ} - \\angle H B F} \\end{array} \\quad (angles in \\triangle B^{\\prime}B C)\\] \n\nso \\(B H D F\\) is cyclic.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl", "problem_match": "# 3. Problem:", "solution_match": "\nSolution"}} +{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(A B C\\) be an acute scalene triangle with \\(A C > B C > A B\\) . Let the orthocentre be \\(H\\) and circumcentre be \\(O\\) . Suppose that lines \\(B O\\) and \\(C H\\) intersect at a point \\(D\\) . Point \\(E\\) (where \\(E\\neq C\\) ) lies on side \\(A C\\) so that \\(O E C D\\) is cyclic. Point \\(F\\) (where \\(F\\neq C\\) ) lies on side \\(B C\\) such that \\(C E = F E\\) . Prove that \\(B H D F\\) is cyclic. \n\n(The orthocentre of a triangle is the point of intersection of its altitudes.)", "solution": ": (Nico McKinlay & George Zhu) \n\nLet \\(\\alpha = \\angle B A C\\) . Let \\(B B^{\\prime}\\) and \\(C C^{\\prime}\\) be altitudes in triangle \\(A B C\\) , as shown. \n\n![md5:c3afdd6d86e8384ba3086d6451f310e6](c3afdd6d86e8384ba3086d6451f310e6.jpeg)\n \n\nClaim. Triangle \\(C D E\\) is isosceles with \\(C E = D E\\) . \n\nProof. \n\n\\[\\angle D E C = \\angle D O C\\] \\[\\qquad = \\angle B O C\\] \\[\\qquad = 2\\angle B A C\\] \\[\\qquad = 2\\alpha\\] \n\n\\[\\angle D C E = \\angle C^{\\prime}C A = 90^{\\circ} - \\angle C^{\\prime}A C\\] \\[\\qquad = 90^{\\circ} - \\alpha\\]\n\n\n\n\\[\\begin{array}{r l} & {\\angle C D E = 180^{\\circ} - \\angle D E C - \\angle D C E}\\\\ & {\\qquad = 180^{\\circ} - 2\\alpha -(90^{\\circ} - \\alpha)}\\\\ & {\\qquad = 90^{\\circ} - \\alpha}\\\\ & {\\qquad = \\angle D C E.} \\end{array} \\quad (angle sum in \\triangle C D E)\\] \n\nSince \\(C E = D E\\) and \\(C E = F E\\) , we have \\(C E = D E = F E\\) , therefore \\(E\\) is the circumcentre of triangle \\(C D F\\) . Consequently, \n\n\\[\\begin{array}{r l} & {\\angle H D F = 180^{\\circ} - \\angle C D F}\\\\ & {\\qquad = 180^{\\circ} - \\frac{1}{2}\\cdot \\angle C E F}\\\\ & {\\qquad = 180^{\\circ} - \\frac{1}{2}\\bullet (180^{\\circ} - 2\\angle E C F)}\\\\ & {\\qquad = 180^{\\circ} - \\frac{1}{2}\\bullet (180^{\\circ} - 2\\angle B^{\\prime}C B)}\\\\ & {\\qquad = 180^{\\circ} - (90^{\\circ} - \\angle B^{\\prime}C B)}\\\\ & {\\qquad = 180^{\\circ} - \\angle B^{\\prime}B C}\\\\ & {\\qquad = 180^{\\circ} - \\angle H B F} \\end{array} \\quad (angles in \\triangle B^{\\prime}B C)\\] \n\nso \\(B H D F\\) is cyclic.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl", "problem_match": "# 3. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "NewZealand_MO", "problem": "The function \\(r_{n}(x)\\) is the remainder when \\(x\\) is divided by \\(n\\) , where \\(0 \\leq r_{n}(x) < n\\) . For which \\(n\\) does there exists some ordering \\(\\{a_{1}, \\ldots , a_{n - 1}\\}\\) of \\(\\{1, 2, \\ldots , n - 1\\}\\) such that \\(\\{r_{n}(a_{1}), r_{n}(2 \\times a_{2}), \\ldots , r_{n}((n - 1) \\times a_{n - 1})\\}\\) is an ordering of \\(\\{1, 2, \\ldots , n - 1\\}\\) ? \n\n(An ordering of \\(\\{1, 2, \\ldots , n - 1\\}\\) is the sequence of numbers 1 to \\(n - 1\\) in some order.)", "solution": ": (James Xu) \n\nNotice that \\(r_{n}(x)\\) is just \\(x\\) modulo \\(n\\) . Therefore \n\n\\[\\prod_{i}r_{n}(i a_{i})\\equiv \\prod_{i}i a_{i}\\pmod{n}\\] \n\nFor primes \\(p\\) , apply Wilson's theorem to see that we must have \n\n\\[\\prod_{i}i a_{i}\\equiv -1\\pmod{p}\\] \n\nHowever, \n\n\\[\\prod_{i}i a_{i} = \\prod_{i}i\\prod_{i}a_{i}\\equiv -1^{2}\\equiv 1\\pmod{p}\\] \n\nSo the only possibility in that case is \\(p = 2\\) . \n\nNow, if \\(n\\) is composite, then let \\(n\\) be the minimal solution. Let \\(n = pq\\) for prime \\(p\\) . Notice that we must have \\((p - 1)q\\) numbers in \\(\\{a_{1}, 2a_{2}, 3a_{3}, \\ldots , (n - 1)a_{n - 1}\\}\\) not divisible by \\(p\\) . The \\(q - 1\\) numbers of the form \\((kp)a_{kp}\\) are divisible by \\(p\\) and there are only \\(q - 1\\) multiples of \\(p\\) in \\(\\{1, 2, \\ldots , pq - 1\\}\\) . Therefore they must be the only numbers divisible by \\(p\\) , so \\(\\{a_{kp} | 1 \\leq k < q\\} = \\{kp | 1 \\leq k < q\\}\\) . Now, \\(p \\nmid q\\) as otherwise all of \\((kp)a_{kp}\\) are multiples of \\(p^{2}\\) , which is not true. \n\nLet \\(c \\equiv \\frac{1}{p} \\pmod {q}\\) . Consider \\(\\{\\frac{a_{p}}{p}, \\frac{a_{2p}}{p}, \\ldots , \\frac{a_{(q - 1)p}}{p}\\} = \\{1, 2, \\ldots , q - 1\\}\\) .\n\n\n\nThen, \n\n\\[\\{\\frac{a_{p}}{p},\\frac{2a_{2p}}{p},\\ldots ,\\frac{(q - 1)a_{(q - 1)p}}{p}\\} = \\{\\frac{p a_{p}}{p^{2}},\\frac{2p a_{2p}}{p^{2}},\\ldots ,\\frac{(q - 1)p a_{(q - 1)p}}{p^{2}}\\}\\] \n\n\\[\\equiv c\\{1,2,3,\\ldots ,q - 1\\} \\pmod {q}\\] \n\nAs \\((k p)a_{k p}\\equiv k^{\\prime}p\\) (mod \\(p q\\) ) for some \\(k^{\\prime}\\) , and \\(k a_{k p}\\equiv k^{\\prime}\\) (mod \\(q\\) ) \n\nSince \\(g c d(c,q) = 1\\) \n\n\\[c\\{1,2,3,\\ldots ,q - 1\\} \\equiv \\{1,2,3,\\ldots ,q - 1\\} \\pmod {q}\\] \n\nin some order. This is a solution for \\(n = q\\) , which contradicts the minimality of the solution for \\(n = p q\\) . Therefore no such solution \\(n = p q\\) can exist. \n\nHence, \\(n = 2\\) is the only solution.", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl", "problem_match": "\n4. Problem:", "solution_match": "\nSolution"}} {"year": "2025", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "NewZealand_MO", "problem": "Let \\(a,b,c\\) be positive real numbers satisfying \\(a b c = 1\\) . Determine the smallest possible value of \n\n\\[\\frac{a^{2} + 2025}{a^{3}(b + c)} +\\frac{b^{2} + 2025}{b^{3}(c + a)} +\\frac{c^{2} + 2025}{c^{3}(a + b)}\\]", "solution": ": (Eric Liang) \n\nNote, \n\n\\[\\begin{array}{r l r}{{\\frac{1}{a^{3}(b+c)}+\\frac{1}{b^{3}(a+c)}+\\frac{1}{c^{3}(a+b)}=\\frac{(\\frac{1}{a})^{2}}{a(b+c)}+\\frac{(\\frac{1}{b})^{2}}{b(a+c)}+\\frac{(\\frac{1}{c})^{2}}{c(a+b)}}}\\\\ &{}&{\\geq\\frac{(\\frac{1}{a}+\\frac{1}{b}+\\frac{1}{c})^{2}}{2(a b+a c+b c)}}\\\\ &{}&{=\\frac{(\\frac{1}{a}+\\frac{1}{b}+\\frac{1}{c})^{2}}{2(\\frac{1}{c}+\\frac{1}{b}+\\frac{1}{a})}}\\\\ &{}&{=\\frac{(\\frac{1}{a}+\\frac{1}{b}+\\frac{1}{c})}{2}}\\\\ &{}&{\\geq\\frac{3}{2\\sqrt[3]{a b c}}}\\\\ &{}&{=\\frac{3}{2}}\\end{array} \\quad (AM-GM)\\] \n\nNow, \\((a + b + c)^{2} \\geq 3(a b + a c + b c)\\) for positive reals \\(a, b, c\\) . (†) \n\nSo we also get, \n\n\\[\\begin{array}{r l r}{{\\frac{1}{a^{2}(b+c)}+\\frac{1}{b^{2}(a+c)}+\\frac{1}{c^{2}(a+b)}\\geq\\frac{(\\frac{1}{a})^{2}}{(b+c)}+\\frac{(\\frac{1}{b})^{2}}{(a+c)}+\\frac{(\\frac{1}{c})^{2}}{(a+b)}}}\\\\ &{}&{\\geq\\frac{(\\frac{1}{a}+\\frac{1}{b}+\\frac{1}{c})^{2}}{2(a+b+c)}}\\\\ &{}&{=\\frac{(\\frac{1}{a}+\\frac{1}{b}+\\frac{1}{c})^{2}}{2(\\frac{1}{b}\\cdot\\frac{1}{c}+\\frac{1}{a}\\cdot\\frac{1}{c}+\\frac{1}{a}\\cdot\\frac{1}{b})}}\\\\ &{}&{=\\frac{3}{2}}\\end{array} \\quad (†)\\]\n\n\n\nFinally, as \\(a^{2} + 1 \\geq 2a\\) , we get \n\n\\[\\frac{a^{2} + 2025}{a^{3}(b + c)} +\\frac{b^{2} + 2025}{b^{3}(a + c)} +\\frac{c^{2} + 2025}{c^{3}(a + b)}\\geq \\frac{2a + 2024}{a^{3}(b + c)} +\\frac{2b + 2024}{b^{3}(a + c)} +\\frac{2c + 2024}{c^{3}(a + b)}\\] \\[\\qquad \\geq 2\\cdot \\frac{3}{2} +2024\\cdot \\frac{3}{2}\\] \\[\\qquad =3039\\] \n\nEquality can be achieved when \\(a = b = c = 1\\) .", "metadata": {"resource_path": "NewZealand_MO/segmented/en-nzmo2_2025_solutions.jsonl", "problem_match": "\n5. Problem:", "solution_match": "\nSolution"}} diff --git a/SovietUnion/md/en-ASU-1961-1991.md b/SovietUnion/md/en-ASU-1961-1991.md index a98ed43287b3a9e8dcca8b04a14aa6646f9d4671..09a0d22e71249ce4ee751d49c380214194db2246 100644 --- a/SovietUnion/md/en-ASU-1961-1991.md +++ b/SovietUnion/md/en-ASU-1961-1991.md @@ -7,7 +7,7 @@ Given 12 vertices and 16 edges arranged as follows: -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAB2ANQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD340mcUhOK898WfFG38N602mQadJeyxAGc+Z5YQkZAGRzxUuSSuzSnSnVlywV2eh96Wuc0zxx4c1TTYL1NXs4llXOyadUdfYgnIq5/wlPh/wD6Dmnf+BSf41ST7GbVjXorJ/4Snw//ANBzTv8AwKT/ABo/4Snw/wD9BzTv/ApP8adn2Ea3NJzWT/wlPh//AKDmnf8AgUn+NH/CU+Hv+g5p3/gUn+NFn2Ga9FZH/CU+Hv8AoOad/wCBSf40f8JT4f8A+g5p3/gUn+NFn2Ga9BrI/wCEp8P/APQc07/wKT/Gj/hKfD//AEHNO/8AApP8aOV9gNbvR0NZB8U+Hz/zHNO/8Ck/xrkvE/xY0zRb1LTToV1WbaGkMM4CID0+bkE9eKUvdV2XTpzqS5YK7PRQSaK5fQ/H/h7WdKivBqdrbM2VeKeZUZGHBGCR37960v8AhKfD/wD0G9O/8Ck/xoSb1Ias7M1qKyf+Ep8P/wDQc07/AMCk/wAaT/hKfD//AEHNO/8AApP8adn2JNejmsj/AISnw/8A9BzTv/ApP8aP+Ep8P/8AQc07/wACk/xos+wGvzRzWT/wlPh7/oOad/4FJ/jR/wAJT4f/AOg5p3/gUn+NFn2Ga3NIayv+Ep8P/wDQc07/AMCk/wAaT/hKfD//AEHNO/8AApP8aOV9hGrmlGMVkHxR4fx/yHNN/wDApP8AGuX8VfFPStAeCCwEeq3Eo3FLeYbUXpksMjOe1TL3Vdl06cqkuWCuzv8AIormvC3jCy8T6Kt/FG8LhzHLE3OxxgkZ79RzRTTuKScW4vc6U815N8R/A0F94g0zULe8ktpdSvI7S4GzeDkHDDJ4wFxivWq5PxqP9K8M/wDYZh/9BahRUnZl06s6cuaDsy3pfgrw/pemwWUWk2ciQrtDywK7t7kkZNXP+Ea0L/oDad/4Cp/hWoBxS1XMzN6mV/wjWh/9AbTv/AVP8KP+Ea0L/oDad/4Cp/hWrRRzMkyf+EZ0P/oDad/4Cp/hR/wjOh/9AbTv/AVP8K1qKOZjRlf8IzoX/QG07/wFT/Cj/hGdD/6A2nf+Aqf4Vq0UczKMr/hGdC/6A2nf+Aqf4Uf8Izof/QG07/wFT/CtWijmYjJ/4RrQ+n9jad/4Cp/hXnHxQ8CabFb22sacEsLh7iC0kWKIbGV3Cg7egI3E+9eugVxnxOH/ABTFr/2FLP8A9HLQlzvlkaQqTpy5oOzLmheBPD2iaTFZJpttcFcs0s8KuzseSckHv27Vpf8ACNaH/wBAbTv/AAFT/CtRRxTqV2jNu7uzJ/4RrQv+gNp3/gKn+FH/AAjWh/8AQG07/wABU/wrVxRT5mIyv+EZ0P8A6A2nf+Aqf4Uf8IzoX/QG07/wFT/CtWlo5mBk/wDCM6H/ANAbTv8AwFT/AApf+EZ0P/oDad/4Cp/hWrRRzMZlHwzoX/QG07/wFT/CmnwzoX/QG07/AMBU/wAK16SjmYjJPhnQ8f8AIF07/wABU/wrg/id4H0w6BNrOnxxWF1ZoAfIhULIpYDBAwM5Oc+1eo4rl/iNx4A1b/rmv/oa0fE1GWxcKkqcuaDs0O8KeELLw3oUdlC7yszGWWVjje5Aycdug4orooR+4j/3R/KilsJycndktcn42/4+vDP/AGGYf/QWrrK5Pxt/x8+Gf+wzD/6C1OHxEnWL0paRelLUjCiiigApKCaAaACiiloAKKKSgAFcb8Tv+RYtf+wpZ/8Ao5a7LNcZ8TefDFr/ANhSz/8ARy1UPjQM7JelOpq9KdUgFFFFABRSHijNAC0UUUAFFFFACVy3xH/5EDVv+ua/+hrXU1y3xG58Aat/1zX/ANDWqh8SEzpIP9Qn+6P5UUQf6iP/AHR/KigCSuT8an/SvDP/AGGYf/QWrqzXlnxI8bWWn63pNjHbzXU1heR3dwIiBsABwvPchs1MZKLu2aQpyqPlirnqi9KWsnTfEWk6pp0F7bahbmGZdykyAH8jVz+1NP8A+f62/wC/q/40akst0hqr/amn/wDP9bf9/V/xpP7U0/8A5/rb/v6v+NFmItUd6qHU7D/n+tv+/q/41x3in4o6V4cvks4rebUZtu6QWzr+7z0ySe/tQ7JXZdOnKo+WKuzvAc9KWsbSfE+kavpsF9bX0HlyjOGkAIPcEH0NXv7UsP8An+tv+/q/40aktWLdJ3qr/aen/wDP9bf9/V/xo/tPT/8An+tv+/q/40WYi1muM+Jp/wCKYtf+wnZ/+jlrqDqen/8AP9bf9/V/xrzX4reMdOjs7TSrU/bLsXUF1IkLA7ERw3J6c4IFOLUZKT2LhCVSXLFXZ6qDxS4rD0XxVo+uaXFfW17CEcYKu4Uqw6qc9weK0Rqen/8AP9bf9/V/xpaktWdi2KKq/wBqaf8A8/1t/wB/V/xpP7UsP+f62/7+r/jRZiLVFVDqlgR/x/W3/f1f8a5TxX8SdJ8MyQwrG+o3Eg3GK1dSUX+8STjrxQ9FdlwhKb5Yq7O3BzRWDoHi7Sde0mK+guoo93DxSOA0bDqp9xWp/alh/wA/1t/39X/GhXZLTTsy0KKq/wBqaf8A8/1t/wB/V/xo/tOw/wCf62/7+r/jRqSWDmuY+Iv/ACIGrf7i/wDoa1vHU7D/AJ/rb/v6v+NcD8U/F2nWnhqbSIGF3eXqjakLA7FDA7iemOMfjTi1FpvQuMJTlyxV2eiQY8iP/dFFYfhfxRp/iLQob62JT+CSJ/vRuAMqe2eR0ooumJxknZnQEZrx34l+BpLvxFYajYXiQvqlzHaTCVC2GIOGGMYAC9K9jrk/Go/0rwz/ANhmH/0FqlQUnaRpSrTpS5qbsyvp3ws8H2OnwWz6JaXLxrhppowzue5Jq3/wrbwb/wBC3p3/AH5FdQopwq1KS2Zmzlf+FbeDf+hb07/vyKQ/Dbwb/wBC3p3/AH5FdXSUc8u4jlP+Fb+Den/CN6d/35Fef/EH4aWdhPY3ugGDT1urmK0kh8vKAscBgBjGOc+te1VyXj8f6Bo3/YYtf/QqLc/uyNaVWdKXNB2ZW0r4V+EbDTYbefRrW7mUfPPPGGZ2PJOavf8ACt/Bp/5lvTv+/Irp1HFOp80lpczbvqcr/wAK28G/9C3p3/fkUn/CtvBv/Qt6d/35FdXRRzy7iOU/4Vv4N/6FvTv+/IrlvE3wcs765S48Oy2+kuRtmQxFo2A6EAYweuT9K9UpMZqJe8rSNaVWdKXPB2Zw2jfCjwpp2mRW93pNtfXA+aSedAzMx5P4Z6CtD/hW3g3/AKFvTv8AvyK6qlqlKSVrmbbbuzlf+FbeDf8AoW9O/wC/IpD8NvBv/Qt6d/35FdXRR7SXcRyf/Ct/Bv8A0Lenf9+RXC/Ej4babp2mJq+gxQac8bpFLEsfyOGYKCAOhBPX2r2XFcl8SR/xRdx/13g/9GrR8b5ZbGlOrOlJSg7MoaF8KPDGnaVHDqGmWuoXZ+ea4mjBLMeuPQegrT/4Vv4NP/Mt6d/35FdOop4oUpLRMmTbd2cr/wAK28G/9C3p3/fkUH4beDf+hb07/vyK6qinzy7knKf8K38G/wDQt6d/35FcT8R/hvpdjob6zoVvb6dNaqBIiR/JIhbHQd8kc17BXLfEb/kQNW/65r/6GtLWb5Zao0p1J0pKcHZoZ4N8HxeGvD0dm0xnmkYzTSDgM5AzgdhwOKK6eH/UR/7o/lRU2sTKTk7vdktcn42/4+vDP/YZh/8AQWrrM1yfjXm58M/9hmH/ANBaqgveJOsXpS0i9KXNSAUUUUAJXI+P/wDkH6P/ANhi1/8AQq63Ncl4/wCdP0b/ALDFr/6FVQ+JAdavSlpF6U6kwEopaKQCUUtJQAUtFFABRRRQAVyXxJ/5Eq4/67wf+jVrrc1yXxJ58F3H/XeD/wBGrVQ+JAdWtOpq06pYBRRRQAlcv8Rv+RA1b/rmv/oa11Ga5f4jH/igNW/65r/6GtOHxIDpIB+4j/3RRRB/qI/90UUAPzXJ+NsfaPDP/YZh/wDQWrqz0rzL4i+MdK0/WNFsmaWaezv47qdYV3eWgB689eRxSjJRd2XCEpu0Vc9NB4p1VNO1C11TT4b2ymWW2mXcjqcgirdK5IUGjI9aOPWgQ2uS8fn/AIl+j/8AYYtf/Qq6049a81+J3izTLCXTNOYyTXUN9BdSxwruKIpzzzwSOnrVxai02VGEpu0UelKeKXFUdL1Sz1jTor+xmWW3lGVZT+Y+oPFXh9akkXJooyKMikAUUZFGR607gFFLmkoAKKPxpKADNcn8SD/xRdx/13g/9GrXVn61538V/Emn2GhDS3Z5L2eSKRYYhuYKrhixHYcEfWqi0pJsuMHN8sUeig8UtZeh65Y+INLj1Cwl3wvwQeqt3U+hHcVpj61NyWraMWjNGfejNIQhrl/iL/yIOrf9c1/9DWuoNcB8VfEWn6b4VuNMldnvb1B5UMYy2AwJYj04xmmmlJNlRi5vlSO7g/1Ef+6P5UVkeHvEWna9o8N7ZTZj+4ytwyMAMqw7HkUUXBqzszaavJ/HHw0v9Z8Sy6rpt9bJ9qUCZLnd8pUADbtHp60UVMoqSszWhWnRmpU3ZnQaP8LfDlhpVvaz28lzJGuGlad1LHr0BAq//wAK48L/APQOb/wJl/8AiqKK1UmtEzJu4f8ACuPC/wD0Dm/8CZf/AIqk/wCFceF/+gc//gTL/wDFUUUc8u5KA/Dnwv8A9A5//AmX/wCKrivFHwhebUxdeHrmC2SVQJIrlnYAjoVPJ/Oiion70bSNqFWdKfNTdmdJofwr8PafpEFtdQyXU6gl5TM67iTk8KQMVpf8K48L/wDQOb/wJl/+KooqlKS6mTd3dif8K48L/wDQOf8A8CZf/iqP+Fc+F/8AoHN/4Ey//FUUU+eXckP+FceF/wDoHN/4Ey//ABVH/CuPC/8A0Dm/8CZf/iqKKOeXcYv/AArnwv8A9A5v/AmX/wCKo/4Vx4X/AOgc3/gTL/8AFUUUc8u4w/4Vx4X/AOgc3/gTL/8AFUf8K58L/wDQOb/wJl/+Kooo55dxAfhz4Xx/yDn/APAmX/4quQ8WfCNLm6iu/D88Vq5Xy5I7l3ZSOoIPJzn8KKKmfvRakbUas6U1ODs0a/hv4VaJp+kJFqSNeXbMZJZBM6LuPUAAjj8M1sf8K48L/wDQOb/wJl/+Koopxk0rJmcm5NtiH4c+F/8AoHP/AOBMv/xVH/CuPC//AED3/wDAmX/4qiinzy7kB/wrjwv0/s5v/AmX/wCKrlPFvwlguZYLrw/JFaTKPLkjuHd0Zeuc8nPT2oorObc01LVG1KrOlNSg7M6TwV4N/wCEa0D7JNc+bPLK08pT7oYgAhc84470UUUlorIUpOUnJ7s//9k=) +![md5:21705a320698046255d6dc2ebb5e015a](21705a320698046255d6dc2ebb5e015a.jpeg) Draw any curve which does not pass through any vertex. Prove that the curve cannot intersect each edge just once. Intersection means that the curve crosses the edge from one side to the other. For example, a circle which had one of the edges as tangent would not intersect that edge. @@ -573,7 +573,7 @@ Given a lattice of regular hexagons. A bug crawls from vertex A to vertex B alon ## Solution -![](data:image/jpeg;base64,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) +![md5:675f77deace78f718b28d352bbac53d9](675f77deace78f718b28d352bbac53d9.jpeg) Suppose vertex A is that marked \* at the bottom left. Without loss of generality, B is in a 60 degree sector as shown. Assume the edges have unit length. The vertices can be partitioned into two sets (marked ° and . in the diagram). Each set forms a skewed lattice with axes at 60 degrees. Any path must alternate between the two lattices. @@ -1295,7 +1295,7 @@ Given point O inside the acute- angled triangle ABC, and point O' inside the acu ## Solution -![](data:image/jpeg;base64,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) +![md5:ca87b07b2609f5391dc57bee5f28e69d](ca87b07b2609f5391dc57bee5f28e69d.jpeg) Let \(\Gamma\) be the circumcircle of DEF. Let OD, OE, OF meet it again at A", B", C" respectively. Then the figure O'A'B'C' must be similar to OA"B"C". So to prove that OD is parallel to O'A', we have to prove that AO is perpendicular to B"C". @@ -2464,13 +2464,13 @@ Some unit squares in an infinite sheet of squared paper are colored red so that ## Solution -![](data:image/jpeg;base64,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) +![md5:5f00730fde8fe7df4a9585aa390cc519](5f00730fde8fe7df4a9585aa390cc519.jpeg) There cannot be two red squares with a common side. For consider as the diagram shows we can immediately conclude that the squares with a \(\ast\) are not red, but now the bold rectangle has at most 1 red square. Contradiction. -![](data:image/jpeg;base64,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) +![md5:b97a810dbe5c47c0e3729869585fd247](b97a810dbe5c47c0e3729869585fd247.jpeg) Consider a red square. One of the two diagonally adjacent squares marked \* must be red. But it is now easy to show that all red squares on that diagonal are red and that the other red squares are those on every third parallel diagonal line. Any \(9 \times 11\) rectangle must have just three such diagonals on a 9 cell border row, and hence just 3 red cells in that border row. But the remaining \(9 \times 10\) rectangle can easily be partitioned into fifteen \(3 \times 2\) rectangles, each with 2 red squares. @@ -2511,7 +2511,7 @@ ABC is equilateral. A line parallel to AC meets AB at M and BC at P. D is the ce ## Solution -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADgAPsDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD36iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4q48diDxsNF8pPKFzHZMCw8wyOm8OOfuAAg9812tABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZviDU20bw9qOppGJXtLd5gjHAYqM4oA5pvh5byaRceZNE2vu7vHq5i/fRktlcHOeF+XrXaxqUiRWbcQoBPrXlHwq8b+JfEut6la6p9nvbFFEqXlt9yJiARFkAZOCevpXrNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFea/FXV57zRrrw3pFy0N9KEWaQfdG/OyI+8nIB6DHJFdzrms2+g6VJf3IYorKiqo5Z2IVR7ZJAzXAXGjXD6rpWl6gVGq6lenU5LkncY44GDLAT/FgNgHp7UAXbvQY/CHhjSNV0u0+yvpUaNeQQ5LzRkfPGOoyWIOfau/t50ubeOeNgyOoYEHNOdQ6Mh6MMGuS8OOfDmrHwnIR9jji82wmb5cqScxZP33HLZHY9KAOvooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKwvFWsPpekSJZok+p3A8u1tjnMrHtx04yc8dKAMy4/wCKl8bxWwG7TdHzJI6/Mk05yDE46ZUbW79RRpv/ABO/iBfai376z0yIQWUyfdEjZEy57kFV69K1dKsYfCnhNIA0ky2Vuzu7Y3yYBJz6mqPw/tWh8Mm7LApqVzJfxqOqpKdwU+4B5oA6msPxJox1GCC9t2ZNQ04tPaMq7vm24K7ehyMj2zW5RQBleHNY/tzRILx0WK4I23ECtnyZR95D7g8Vq1xy/wDFI+KJ3lPl6Jqjr5e37sNyx+Yt3zISAMccdq7GgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBksscETSzSJHGgyzucBR6kmuU8PRS614kvfEk8bLAifZdObG3fDwWLKec7wcH0pfGc7ahJZeFoD+91QkzhhgG1XAlAbs2GGK6m3gS2toreIERxIEUE54AwKAOY+Id1PB4XMNpKy3NxcQxBIz80iGRQ4A6kbSc+1dNa20FlaxWttEsUEShI41GAqjoBXJ3p/tf4mWNk37saNb/blYc+aZd0e0+mMZzXY0AFFFFAGZ4g0hNc0aeyJRZSN0ErDPlSj7jj3B5qr4a1d72GbT7tXTUtO2Q3QZt24lcq+eh3AZ9s1u1yHiJDoXiOw8Rxkrat/ot8o+VFRufPc99u3HPr1oA6+ikVldAykFWGQR3FLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV7+8j0/T7i8l5SCNpCB1OBnA96sVx+pEeJPGcGj7S2n6aouboH5o53OQicdGRlDc+ooAseDbKWWybXNQIlvtQYypI33kgPMaY6AhTg46+9dOzKiM7HCqMk+gpQMDA6VkeKNVTRPDOoajJE0qwxcopwTkgf1oAx/BynUtR1jxBKPNFzcGKyuez2owVx7bi3XmuvrF8JaS+heFNN0ySVZXt4QpdRgHv/WtqgAooooAKZNEk8LxSKrI4wVYZB/Cn0UAcl4Oml0t7rwzeEq9i5+xvKfnuYDzvPb7xIx7V1tcx4006eaztdXsk33+lS/aIVJwpBG193rhSx+tbumajbavpltqNm5ktrmMSRMQRlT0ODQBaooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAxfFOsf2NokskSebeS/uraANhpXPZfUgZP4VJ4a0YaFoVvZNL586rma4K4aZ+7N6k1iaYD4t1+TVblM6bplxjTCn3Jm24aXPXIJZMdOK7GgArkPG7tqE2leHk/eRahcBb6JPvi3AJLf7I3BRmuvrj7Jv7W+Jl7ewfLHpVp9gmDdWdysgK+2KALWreNNO0PVhpDWepXV0kCzFbO1Mu1CSATj6V0FrcC7tIrhY5IxKgcJKu1lz2I7GvM/F+imf4gyX954d1bVLJtPjijfT5Cm1w7E5wy9iK9G0pEj0m0SOCW3QRKFhmOXQY6McnkfWgC5RRRQAUUUUAI6LIjI6hlYYIPQiuR0wyeHPGB0TO3Sr+MyafEPmKSKCZV/2VA24HTrXX1k+IdHXWdKliQKt2gL2spJBjlHKnI5xnGR3oA1qKxPCetf25oMU77/AD4Wa3nLgAtIh2s2PQkEj2qj8RpXg8B6lJHI0br5WGU4I/ep3oA6mimpIki7kdWHqpzTqACiiigAooooAKKKKACiiigAooooAKKKKACiiigArmvFOp3AuLHQtNmaPUL98sycPHbg4kkUnjcMrj69K37y6isbK4u5yRFBG0rkDJ2qMn9BXN+EbOe+jPiLVVSS+uixtnByI7YnMYUfwkrtLepFAG/punW2k6fFY2cYjgiHAHqTkn8SSfxq3RTZJEiieSRgiICzMxwAB1JoA4/4o6vq+h+BL290Vo0ulwDI7BSiEHLLk/eHavP/AIe/EHURPd2qeF9QvLq6KS/aZpFiknIUAlmbAY+mO1HikXHxR1K5W0mu5vD1vPHZwCGMqrStkNMSOHVCP16ivW7rw9aX+iW2m3Zc+RGqxzxHZJGyjG5G6qff3oAxv+Er8S/9CJf/APgZD/jR/wAJX4l/6ES//wDAyH/GhdSuvBzCz1JLy+0xji2u40MskY7rL3wBzvP9K6yCeK5gSeCRZIpFDI6HIYHoQaAOT/4SvxL/ANCJf/8AgZD/AI0f8JX4l/6ES/8A/AyH/GuwooA4/wD4SvxL/wBCJf8A/gZD/jR/wlfiX/oRL/8A8DIf8a7CigDj/wDhK/Ev/QiX/wD4GQ/40f8ACV+Jf+hEv/8AwMh/xrsKKAPn7Udf8T2HxOl1KK2vtOikubYT6RkbZ0CcsZR8gH1PevdbywtNa0p7TULZJrW4QeZC/II4ODj3pusaVba5o93pd4GNtdRmKQI2Dg+hrI8LapcyT3uiagoW605xHHJjb9oiwMSKvoM7c88igDX0nRtO0Ky+x6ZaJbW+4v5aZxk9Tz9KvUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZXiLWk0HRZ74xmWRcLHCp+Z2JA4HfGc/QGgDD8QOfE2uf8Irbu8C23k3l5OD/BuyqL65KkMD2NdeiLGioihUUYVVGAB6VkeHNFk0i0uGupUlvbydrm4dB8odsZC5528cA1s0AFebfETxPfy3g8IaFgajdqnnMRlvJc7W8sdCQu4nOMCuw8Ra7Fo1kVUPLezArBBH95jg8+gAAJyeOK5D4baHLd26+INVlW7ud7G1uFGFmBGDOM8hmHBB446CgBbLQbbw14g8MeEbGSUaYsM93KAxBeZCpDEjnGSeOlej1x/hFhq2va94hUbYZphZpE/LIYCyMfoTzXYUAIyq6lWUMpGCCMgiuTn8NXmhTyX3hUp50rHzrO7mbyXz3B52Y5wFGOa62igDC0bxTY6pcnTpXFvq8a5mspOHTHf6HqPYit2svWdDttXt8EmC6Rt8NzEAHicdGB/xrGj8R33h+VbbxX5IWUgQXlpE5jY9NjDkhu5PAoA62imo6SorxurowyGU5BFOoAKKKKACuW8S2l3ZaxYeItPjLG3Biv1QZeS25O1QeMhyGzxwDXU02SNZY2jdQyOCrA9waAIbG+ttSsYb2ymSe2nQPHKhyGU9CKsVyHhaX+xta1Dwq6kRW+LiyI4RYHJCwrnkldpz9a6+gAooooAKKKKACiiigAooooAKKKKACiiigArjbQDxf4oN7KjJYaHc/wChsvS4lKYMgboVwzLj1HWsXxf8SZbPxefBekxbNVuYNkNzIPlSdwDHx3XBOT2rvND0uHRdFtdPgXakKdN2fmJy3P1JoA0KjnnhtYHnuJUihjG53dsKo9ST0qSuA1/V4dSupb92afwvpEckl7sHE86HhV/vBcMGU8Zx1oAyzJfeKNTLxmS11TUbRki6p9jsxLyx/vszL2xw1egXCwaJ4faGy+zWgii8u2VyEjDkYQenLYrN8KaTLAbvWbwr9p1JllWJfmW3j2gKiE84IAJHHJNU/iCh1G10zQof+Pu+vI5Ii3C4hZZHyf8AdHFAGt4U0Y6JoMUEq7bqZmuLobsjznO58e24nFbdFFABRRRQAU2SNJY3jkUMjgqynoQeop1FAHItoepeGpPtPhzzb2BvlfTLi42oo/h8onhAPTBzxW5outW+tWjSRq0c0Z2TwSDDxN6Eenoe45rSrA1rwrbapeJqME81nqUQ/dTwuQu7sXTOHx/tZoA36K5K28V3GkSC28YJaabJIwW2njlLRTdtu4gfP3xjpXW9aACiiigDnfGWlzX2kC7s3aK+sHFzFIi5cquC8a45G8Db+Namj6nFrGk299FtHmoC6Bt3ltj5kPuDwfpV6uPJPhvxzgJt0zWVALn5Y4J1wFRQON0mWJ9xQB2FFFFABRRRQAUUUUAFFFFABRRRQAVFc3MNnazXVw4SGFDJI5/hUDJP5VLXI+JJ5fEGpHwtp8zRSx+VcX8p4UQFvuY/i3hWU46d6AOXvPCsutXWoePLbTS2qrJDc6VC7fM4iUgBucbX4b1xjpXpGk6nBq2nRXUEivuX5wONrdwQeRzVuGGO3gjghRUijUIiKMBQBgAVwWrarZfDvxLdahdl103WiGzjezXnChRj7q7FHXvQB0HiHVbqO8stF00ot9qG8ec3IgRRksQO5GdvbI5rAGlQTaxpvhzTU36ZZSm+v7lDkm4ByA3Y78uSB6dqsIZvDun6hrGoIp1/VJGFtEB5roD/AKuHI+8iMckjgAk8Vu+FdFGhaDFbMCs8rNcXILbgJpDufHtuJxQBtAAAADAHauNhZtQ+Kt1HOfOt9PsI5Lb0ildmV8EdyoAINdhI2yJ3ABKgnBOP1rnvB1hLbWN9fTPEW1O8e92RSCRY9wA27xw3TqKAOjooooAKKKKACiiigAooooAhubW3u4jFcQpKhBGHXPWuU+w6h4NZru1ubrUdHzteyfBNpH2MZ4JVRknJJwOOa7GigCjpOs2GuWYu9OuBNDkjO0qQfcEAir1c9q/hlrm7k1PSr6bT9TIB3I37qZgMKZUH3wBxjIplh4neO4Nl4htY9JutoaNpJ1aOYZxkNwA2f4euKAOkrO1vR4db0/7NK7xOjiWCePG6GQfddc8ZGe9aNFAGB4T1qXVtMeK92pqdm5hvIR1jbqufcrtPHrW/XH+IkbwzqMXiKyURWckw/tjHIaPGA4XqXzsGfSuvByAR0NAC0UUUAFFFFABRRRQAUUUUAU9V1GHStMuL2d0RIkyC5wC3QDPucD8ax/Bmnzw6U2pX8LxajqLm5mjlX54N3IiyeSF5x9elZerTf274lEkP7zT9Cie5Mi/dkuNpHlNnqApDcd+9N8KeMdX1NtFOs2tlGmtW7T2n2QuSm1dzB93sRjFAHdV55eaTF8Spbx7+InS9Pn/4lhjYhbiQL/rt46gElcdOK5nxr8QNYk8VWPhldHka1ubgCe0iJFzJEDgqTnaA+cgg5xjOK2vEHxC0y30WHQ7ZptI1SciKSF4yTYqDkl9oIIIGPlzywoAveGXvdY8VxHWtS0+7vtGs1V4rWQbobl9yy7gAOCAoGfQ16DXklz4p8H+HtX03U9AuR5agWt7BDFIXmj6ISWHRCSxOc49a9I0/xFo+qWi3VnqEDwsSAzHYcj2bBoAo+OdQuNL8F6neWrBZkjUKSMjlgp4+hNaejaZa6No1pp1krJbW8YSNWYsQPqa5XxHd2ur+MdB0yO7gVbNjqM7PINkkYzHs9zlgefSuzhubeckQzxSEdQjg4/KgCWiiigAooooAKKKKACiiigAooooAKq3+mWWqQeTfWsNwgyVEiBtpxjIz0PvVqigDjkn1nwi628tv9u8Owji78wvcQr2DKfvKvUuTnGT2rpdL1bT9asVvdMvIbu1YlVlhbcpI4PNW2UMpVgCpGCD0Nc1qXhm5W+Go6BfnT5wAZLYKPIuSPuh+CQP93B5oA3720ivrKa1mRWjlUqQyhh+Rrm/CN3Jp80nhK9kea902FXW4Zi3nQkkK7E9GJByOe3NXNE8StqNy9lqGnz6ZfKMrDcFf3y9C6EE8Z7Hn2qPxRp0wktdfsiv2rSxJKY2ziZCuGU45JAzt96AOjoqnpWoxatpVrfwgqlxGsgViMrkZwfcVcoAKKKKACiiigArB8V6vPp2lvBpuyTWLkeXZwMM7nPdh2X1J4FaGtagdJ0O/1ERiQ2sDzBCcbtoJxn8K8g8BeOLjW7uTxNrlld392geC0XS7fzPs8TNkrIBjBJAwT1AoA9U0zQo9N8KJo0DMoFu0e5zkgtnOfXkmuf8ACXgvVNIbS/7Y1K1u00iBobEW0JjIDLtbfkndwBjGKt/8J/b/APQu+JP/AAXN/jR/wn9v/wBC74k/8Fzf40AdDc2mnR3a6tcxQJPbxMguZMAxocFhk9BwPyrJ8Mw22pI3iRre4S6vlKhLk7mhjDY2LwMKSu7HvXmHiv4lpqni/T9Fa01GC2ivYDLp0lnmS7QglgwJz7beQ2favQ18e2yKFXw54jCgYAGmtwPzoA63Yv8AdH5V5xa+GNDl8TTaV4q0631PVboy3NreTJuMsIb7ntsDKvPXtW3/AMJ/b/8AQu+JP/Bc3+Ncb8RPHEC6dp9/DYazpVzb3sX+n3GnEbI+dy8nnOB8vfFAGp4c8G+FdW1bXo5vDGlm0tLpYrSVIOJE2Ak7s4b5iRx6V0B+HmiW3OjCfQ3P+sk0xxE0o7BuDkCuK+GPjqe38Hw2954f1iaKOR/s9za2hkWdSxJb25JGOa7P/hP7f/oXfEn/AILm/wAaAF/4QeX/AKG3xL/4Gj/4mmSeFte04ebonie7luD8rDV2NxHt9lXbg++ad/wn9v8A9C74k/8ABc3+NH/Cf2//AELviT/wXN/jQBD/AGf8Rf8AoPaD/wCC+T/4unJ/wnumN9pun0zWYhx9ktIjbuSe+92IwPTFSf8ACf2//Qu+JP8AwXN/jR/wn9v/ANC74k/8Fzf40AL/AMJH4q/6EiX/AMGUVIfE3iaMb5vBUyRLy7DUImKjucDk/Sj/AIT+3/6F3xJ/4Lm/xo/4T+3/AOhd8Sf+C5v8aAIf+FoeH/8Anjq//gsn/wDiaUfFDw+TjydX/wDBZP8A/E1L/wAJ/b/9C74k/wDBc3+NB8fW5GD4d8R/+C1v8aANpfEuhMob+2dPGRnBuUBH4Zpf+Ek0L/oNad/4FJ/jXFtqPhRmLN8P9RJJySdEHNJ/aHhP/on2o/8AgjFAHo6OsiK6MGRhlWU5BHqKWvIJLTw+8jMumePowxJCRmdVX2ADYA9qb9i0D/nw+IX/AH3P/wDFUAew0V5Emp6npi/Z9Cm8U21n97y7zRzdvuPU73bOOnFO/wCEj8Wf9BDXf/CZX/4qgD0nWdEtdbt0jnMkcsTb4LiE7ZIW6bkPY4JH41hpqeqeF3FrqsE19pasFXU94Z0U8KJF6sc9W4HPtXHv8QPGelHy4fDeqa8H+YzS2BtDH/s7V3Z9c1FJ8UfG0sbRyfDS8ZGBVlYuQQeoPy0Adb4burXRNcvNLiuI30q9la4sbhXDq8rEmVS44B3EYHX6121fOuq6rrUul3d8PDepeG1s3S8it4rMy27yR5Kk5wIx64BznnpXp3wt8X6j4r0a7/tRrWW7spVjee1cFJdy7geBgYzj8KAO8ooooAKxE8X+H5NeOhpqkJ1MOYzb4O7cBkjpjpzW3XiFnbSD41FsX+4azNIYzE3kCMwYDhsYyTx1oA9udFkQo6hlYYKkZBFRW9pbWisLa3ihDckRoFz+VTUUAFRXNxFaW0tzcOI4YkLyOeiqBkmpayfFKNJ4S1lEUs7WUwVVGSTsPFADpbnRfMsr2T7KZLtkFtKYwWcsMrg4z0rUrzXwlZ6ppF1pV54ijS8N1aw29lPDGwFl8ijyypyctgEt0BWvSqACo57eC6j8u4hjlTOdsihhn6GpKKAGRQxQRLHDGkca9FRQAPwFY2p+MPD+j6nHpuoapDb3km0pEwOTuOF6DueK3K8p8TeGNV8R/E27htJYbe0W0s5ZpJoWbf5czNtQjgHjn60AerUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADXjSWNo5EV0YYKsMgj6VHb2ltaKVtreKFWOSI0Cg/lU1FAGLqPi7QdJ1BLC+1KKG6fG2MhieTgdBgVsqwZQykEHoR3rzmDU7Pw3qniGx1mzuJZtRvpJ7aNLdpFljdQoG4AhckEc9K7zS4xDpVrGtp9jVYlAt9wPlcfdyOuKAP//Z) +![md5:a902c5010ecb112e54485bddc3d17aca](a902c5010ecb112e54485bddc3d17aca.jpeg) Let K be the midpoint of BP and L the midpoint of AC. EL is parallel to BC, so \(\angle ELC = 120^{\circ}\) . EK is parallel to AB, so \(\angle EKC = 60^{\circ}\) , so ELCK is cyclic. But \(\angle DKC = \angle DLC = 90^{\circ}\) , so DLCK is cyclic. Hence D, K, C, L, E all lie on a circle. Hence \(\angle DEC = \angle DLC = 90^{\circ}\) , and \(\angle EDC = \angle EKC = 60^{\circ}\) . @@ -3522,7 +3522,7 @@ Answer 6 ## Solution -![](data:image/jpeg;base64,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) +![md5:8cf996e790873a262ab31b6ce4f02ca0](8cf996e790873a262ab31b6ce4f02ca0.jpeg) Suppose one endpoint of a segment length 3 is at A. Evidently the other end could be at the edge midpoints B, C, D. It could also be on the circular arc connecting B and C (with center O and radius \(\sqrt{5}\) ). Similarly, it could be on arcs connecting C and D, or B and D. We claim that if X is a point of one of these arcs other than its endpoints, then the only possible segment length 3 with an endpoint at X (and the other endpoint on the surface of the cube) is AX. wlog we can consider X to be on the arc BC. Take axes with origin O, so that A is (0,0,2). Suppose X is (a,b,0) and that the other endpoint of the segment is Y (x,y,z). Then \(\mathrm{XY}^{2} = (\mathrm{x} - \mathrm{a})^{2} + (\mathrm{y} - \mathrm{b})^{2} + \mathrm{z}^{2} = \mathrm{a}^{2} + \mathrm{b}^{2} + \mathrm{z}^{2} - \mathrm{x}(2\mathrm{a} - \mathrm{x}) - \mathrm{y}(2\mathrm{b} - \mathrm{y}) = 5 + \mathrm{z}^{2} - \mathrm{x}(2\mathrm{a} - \mathrm{x}) - \mathrm{y}(2\mathrm{b} - \mathrm{y})\) . But a, \(\mathrm{b} > 1\) since X is not an endpoint of the arc, so (2a- x) and (2b- y) are both positive. Hence - x(2a- x) - y(2b- y) \(\leq 0\) with equality iff \(\mathrm{x} = \mathrm{y} = 0\) . Similarly, \(\mathrm{z}^{2} \leq 4\) with equality iff \(\mathrm{z} = 2\) . Hence \(\mathrm{XY}^{2} \leq 9\) with equality iff \(\mathrm{Y} = \mathrm{A}\) , which proves the claim. @@ -3689,7 +3689,7 @@ The line joining the midpoints of two opposite sides of a convex quadrilateral m ## Solution -![](data:image/jpeg;base64,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) +![md5:54360b517d323d1521aef21360afdede](54360b517d323d1521aef21360afdede.jpeg) Let L, M, N be the midpoints of BC, CD, DA. Assume that NL makes equal angles with AC and BD, so \(\angle \mathrm{NLM} = \angle \mathrm{BEL} = \angle \mathrm{AFN} = \angle \mathrm{LNM}\) , so \(\mathrm{LM} = \mathrm{MN}\) and hence \(\mathrm{BD} = \mathrm{AC}\) . @@ -3718,7 +3718,7 @@ yes, yes ## Solution -![](data:image/jpeg;base64,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) +![md5:fe9e789413e4c2d406e979a3b5cc493e](fe9e789413e4c2d406e979a3b5cc493e.jpeg) By stretching vertically we get a square. @@ -3729,7 +3729,7 @@ The point P lies inside the triangle ABC. A line is drawn through P parallel to ## Solution -![](data:image/jpeg;base64,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) +![md5:fca7c846c76e89d2f888faaeee6233c1](fca7c846c76e89d2f888faaeee6233c1.jpeg) The three small triangles are similar, so a/a" = c'/c = b"/b' and a/a' = c'/c" = b"/b. Hence (a/a")(b/b") = (c'/c)(c"/c') = c"/c, so abc = a"b"c". Similarly, (a/a')(c/c') = (b"/b)(b"/b") = b/b, so abc = a'b'c'. @@ -3762,7 +3762,7 @@ An equilateral triangle of side n is divided into \(\mathrm{n}^2\) equilateral t ## Solution -![](data:image/jpeg;base64,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) +![md5:58aed129ef4e27f6b77023add17b0c63](58aed129ef4e27f6b77023add17b0c63.jpeg) The diagram has \(1 + 2 + \ldots + \mathrm{n} = \mathrm{n}(\mathrm{n} + 1) / 2\) upright triangles and \(1 + 2 + \ldots + \mathrm{n} - 1 = \mathrm{n}(\mathrm{n} - 1) / 2\) upside down triangles. It has \(1 + 2 + \ldots + \mathrm{n} + 1 = (\mathrm{n} + 1)(\mathrm{n} + 2) / 2\) vertices. So the path must be \((\mathrm{n} + 1)(\mathrm{n} + 2) / 2 - 1 = (\mathrm{n}^2 +3\mathrm{n}) / 2\) units long. Each unit length of the path is in just one upright triangle. The path cannot contain all three sides of a small triangle, or it would pass through a vertex more than once. So it must contain two sides of \((\mathrm{n}^2 +3\mathrm{n}) / 2 - \mathrm{n}(\mathrm{n} + 1) / 2 = \mathrm{n}\) triangles. But if it contains two sides of a triangle, then it must make an acute angle at the vertex where they meet. @@ -3776,7 +3776,7 @@ Answer no Solution -![](data:image/jpeg;base64,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) +![md5:ba89446342b07ea6059c12a58ecc2d7f](ba89446342b07ea6059c12a58ecc2d7f.jpeg) Suppose it can be done. Divide the board into 4 quadrants. Suppose there are b black and \(995^{2}\) - b white squares in the top left quadrant. Then there are \(995^{2}\) - b black and b white squares in the bottom right quadrant (by the symmetry property). @@ -3891,7 +3891,7 @@ Answer no, yes ## Solution -![](data:image/jpeg;base64,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) +![md5:386ceaf84dd3e55dc0eef7999b32a956](386ceaf84dd3e55dc0eef7999b32a956.jpeg) If a triangle has integer sides, one of which is 1, then it must be isosceles. So the only candidates for the segment length 1 are AB and AE. wlog \(\mathrm{AB} = 1\) , so \(\mathrm{BF} = \mathrm{AF}\) . Hence \(\cos\) @@ -3900,7 +3900,7 @@ If a triangle has integer sides, one of which is 1, then it must be isosceles. S DFE = 1 - 1/(2 AF²). Hence ED² = DF² + EF² + 2DF. EF(1 - 1/2AF²) = DF² + EF² + 2DF. EF - DF. EF/AF². But the first three terms are integers and the last term is < 1. Contradiction. (Careful, looking at the figure one is tempted to conclude that ED < AB, but a more realistic figure shows that is false.). -![](data:image/jpeg;base64,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) +![md5:de556ee4d753e91963e7e8be0bcc6baf](de556ee4d753e91963e7e8be0bcc6baf.jpeg) Building on the 3,4,5 triangle we get the figure above. @@ -3941,7 +3941,7 @@ ABCD is a rectangle. Points K, L, M, N are chosen on AB, BC, CD, DA respectively ## Solution -![](data:image/jpeg;base64,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) +![md5:289e0cda6fd1182ce46a641ac3fcffd1](289e0cda6fd1182ce46a641ac3fcffd1.jpeg) Let LN and KM meet at O. \(\angle \mathrm{NOM} = \angle \mathrm{NDM} = 90^{\circ}\) , so OMDN is cyclic. Hence \(\angle \mathrm{NOD} = \angle \mathrm{NMD}\) . Similarly, BLOK is cyclic and \(\angle \mathrm{LOB} = \angle \mathrm{LKB}\) . But NM is parallel to LK and AB is parallel to CD, so \(\angle \mathrm{LKB} = \angle \mathrm{NMD}\) . Hence \(\angle \mathrm{NOD} = \angle \mathrm{LOB}\) , so DOB is a straight line. @@ -3966,12 +3966,12 @@ Answer only the central square ## Solution -![](data:image/jpeg;base64,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) +![md5:02463e47ef2122f6f333c91ae48786ab](02463e47ef2122f6f333c91ae48786ab.jpeg) We take the 5x5 square, the two yellow 3x3 squares, which overlap at the center, and the two blue 2x2 squares. Then every square except the center square is changed an even number of times. So this works if the central square was selected. -![](data:image/jpeg;base64,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) +![md5:35c41272386d9da0a2235f7d237dfecf](35c41272386d9da0a2235f7d237dfecf.jpeg) It is easy to check that any 2x2, 3x3, 4x4 or 5x5 square has an even number of green squares, so if the selected square was green, and we change it an odd number of times, then some other green square must also be changed an odd number of times and hence end up with a minus. So if all the squares end up plus, then the selected square was not green, so it must belong to the central white column. Similarly, it must belong to the central row and hence must be the center square. @@ -4024,7 +4024,7 @@ numbers 1, 2, ..., \(2^{\mathrm{a}}\) - b- 1 can either be converted to powers o The figure below is cut along the lines into polygons (which need not be convex). No polygon contains a 2 x 2 square. What is the smallest possible number of polygons? -![](data:image/jpeg;base64,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) +![md5:04fbaa7e3df54e301a41791ce24d25b9](04fbaa7e3df54e301a41791ce24d25b9.jpeg) Answer 12 @@ -4113,7 +4113,7 @@ E is a point on the diagonal BD of the square ABCD. Show that the points A, E an ## Solution -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIALADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigBKKKKACijFFABS0lLQAUhpaKACijNJnmgAJwK5ibx3osOp/Yj9qZQ21rtbdjbqe+ZfujHQ88GumPNeNNe21v8N9Y8JSzoniC4luRFp7H965eUsuB7ggigD2VGDKCCCCMginVXslZLG3RgQyxqCD2OKsUAFJS0UgEpaKTNMBaKKKACiiigBKWiigAooopAJS0UUwCiiigBtV5bu2hkEctxFG56KzgE/hVg185fELR9bm8fXclxZ3dy0kgNhKiNII0/hGQMLhsnHaplKxvh6KrT5XJL1PozPHFQm1tzKJjBEZRyHKDP51T8PRX0GgafFqbM18kCCdi24l8c89+a0+tUnoYNair0paB0ooAQ0UtJQAtFFFACUCiloENY4ozihiMVk6pr1tpepaZYzKzPfyNGpXGEwpbLeg4x9aANbPpQDTc8UZ4oDoPzS0xTkUtADqKSikMWikooAKaVBOcU+kNMBAOadikzRmgBaOaKTNAC0hNHakpALmikIozimFhe9APNcv4w8Q6hog0mLTYbR7i/u/swN2zKifKzZJH0pfDviC/vNXutJ1SK1+2wwrP5lkxaEoxIAyed2Qc/hQDOmNePa/ofijxRrviS8t7m0tba0K2kaS27lpEjIlBU56k8Zr2I0nWgDH8N391qnhnTb++i8q6uLdJJUCldrEcjB6U3X/ABPpPhm0S41S6EKuwVVALMf+AjnHvWxivK/jH4aury0i8R2rK39mQOskLcZQkEsD6jHT3qW303NKMYSqJVHZHoeja5p+u6fHfabcLNbv3HBHsR1B+taW4V4ho3w01/TNPS+hnnmkvAHlsbe/NqsRxw28Z3cAcY71rQWmiwyi31m78T6bOgxNLLeyi2RvQSnAPse9axheKb3FUSjNqDuj1kMM07cK4Ww8G6HqlqtzY+INZuIGJAki1R2XI68g1aHw80//AKC+vf8AgykotHuQdhuFJuFcefh5p/8A0F9e/wDBlJSj4eacf+Yvr3/gykotHuI6/I9aMj1rkf8AhXenf9BfXv8AwZSUf8K707/oL69/4MpKLR7jOuyPWjIrkf8AhXen/wDQX17/AMGUlH/CutO/6C+vf+DKSi0e4HX5HrSZFcj/AMK60/8A6C+vf+DKSk/4V3p//QX17/wZSUWj3A6/I9aCeOK5D/hXenf9BfXv/BlJSf8ACvbAH/kL69/4MpKLR7g9Dpr6+ttOs5bu7mWKGJSzMxx0rI8P+NNC8UPImlXnmvFjcjoUOPYHGa4Pxt4IhubT+x9Gv9Tu9WdklWC5vmeNVBzl88DODjPcVT+EnhS+Gty+Ibzy4VtjNZCJTu3sGwxz2wV/HNZzupKyujphTpOlKUpe8tkdl8RtEudbg0XydJGqw2t8Jri1MipvTYw6n3IqTwVol1p1/d3S6YNF0+SNY00wSB8SA5MmRxyMD8K7IClHpTOYdSUtFIBmCTXL/Ecf8W617/r0euqrlfiR/wAk517/AK9Hq4fEhM3tOH/EstP+uKf+gipZ7WG6iMVxDHLGedjqGB/A0zTf+QXaf9cU/kKs1L3A5i+8D6Zc3bXlqZrG8ABikt5GVI2HQ+XnafxHNVynirw+d5m/t6z+/MWUJcL22xqo2t68muwwPxoxxVc72YzlLfx1pIlSDVGl0m8dgEtr1drsDwDgZGCeK6aORHztdW+hzimXFlbXcbpcQRyK6lW3L1B7VzEvgKzt8f2He3mihv8AWCycfvPTO4Hp/Wj3WB1hOB1p3auPa68YaMu+5tLbWIfuJHZZSYejMXOD747mtDS/F2n3zNb3ObC9iH763ufl8s+m77rfgTQ4voFzoRS1FHIkih43VkIyGU5BFPyfSpYC0hozQaQw4FYmtazLDMmm6ZF5+pzLlV/hhX++57Dt9cUms6zLBOmmaaqTapOPlVgSkS93fHYZHHU9qsaLo0OkwOdxmu5zvuLh/vSt6n8MD8KpaasVw0fRo9JgbdI1xdSndPdOPnlb19h7DgVg/DfP9g33/YVu/wD0a1djXH/Df/kA3/8A2Fbv/wBGtVJtxdwsrnZDpSigUVABRRRQAmK5b4k/8k617/r0euqrlPiT/wAk617/AK9HqofEgOg03/kGWn/XFP5CrWKq6b/yDLX/AK4p/wCgirVS9xC0UmaXNAxCM0YpaKAGlcdKoapoWl63Gkep2FvdpGdyLMgYKfUZrRpKE7aoDkZfB9zp2ZtA1i6tZwcRxXDmW2jU9VEXGPbnim/2t4o0VP8Aia6ZHqFrD8019asFYr/swjLEjpjPNdew4xSdKrnvuBzNr470Ke1kmmuWsymf3d8hgkYDnKq2CR9Kx7X4n6b4huV0vw8s8upzA+WLiExooHV8nrgc479Kd8RNOg8QadLoVlaQz61cIpidkBMKBs7mbqqnBH1NYPgD4cazoniVNX1h7eP7PGywpbyF95YYOcgYxxUSupLlWh0U40nTk5S97oj0fRtHi0mCQl2mupyHuLhzlpG/wGSAOw4rVA4pmcd809TkU7t6s52JiuO+G/8AyAb/AP7Ct3/6NauyNcZ8N/8AkA3/AP2Fbv8A9GtVr4WHU7MUtIKWoAKKKKACuU+JP/JOte/683rq65X4k/8AJOte/wCvN6qHxIDe03/kGWv/AFxT/wBBFSzXUFvgzTxxA8AuwXP51Fp3/IMtf+uKf+giuJu9OsvEnxN1TS9btYr+xtNPt5re3nXcsbszhmA7EhRn6UmJHeefHtV96hXwFJIwT2xUnWuA8F2Ka/4XjS/lmddO1mZrcBsbBFKyxr/ugcYrvR3zSGP7UtIDxS0AFJ0ozTT1oAUnIrD1nWpIZ49N01Fn1Of7qn7kS93fHYccDnnpRrOsywTppmmoJtUnHyA8rCP77+w644zjirGjaLFpUEjF2mvLgh7m4c5aVv8AAdAOwppWV2A3RdFi0mBi0jT3kx3XFy/3pW9T6dhgelahHpTgOKbik3cDynwLqF14g1qZrrxhqLXcF7Pu00RL5RiSQgAts6Yx3zXrA6Vwnh3wv4p8P3nkRazpr6S15LcPCbRvNKu5Yjduxnnriu7HAobADXG/Df8A5AN//wBhW7/9GtXZYrjfhuP+JDf/APYVu/8A0a1UvhYludmKWiipGFFFJ3pALXKfEr/knOvf9eb11dcp8Sf+Sc69/wBeb1UPiQG/pv8AyC7T/rin/oIrM13wlpmvypNcm5gmUYMtpO0LuOwZlwSB2B9a1NO/5Blp/wBcU/8AQRVk0hIqWFha6ZZR2lpEI4kGMd2Pck9yepPevO/FvxXOga/LpdjpouvsuBcvJIU2scH5eDng16eRxXAeJvhVpniPWm1NL24spZMGdYgGEp9TnpwMcVMua2h0Yd0VP98nbyOw0TVrfXNGtNTtN/kXMYkTeMHB9RV8mqemafbaRptvp9nEI7eBAkaA5wPxq3nNNeZk7X0A9c1iazrUsEy6bpsYn1SZcqnaJf77+g649SMUa1rEkE8em6bGs+pzj5UJ+WJf77+gHtzyKn0TRotKgctI1xeTHdPcv96Rv6D2HFWlbVkhoujR6RE5MhuLuY757l/vSN/RfRegrVJxSd6Wp1vdjFHSg0UUCEAxSiilpMBDXG/Df/kA3/8A2Fbv/wBGtXZGuM+G/wDyAb//ALCt3/6NarXwMFudpRSClqEAUUUUAFcr8Sf+Sc69/wBeb11Vcr8Sf+Sda9/15vVw+JAdBp3/ACDLT/rin/oIqyRVXTf+QZa/9cU/9BFWjUtghMUUE03vmkAvSsTWdZkgnTTdNQTanOPkU8rEO7v7D06ntRrOsyQTLp2nIs+pzD5U7RL/AH39B1xnqRip9G0aPSYnZnM95Od1xcv96Rv6KMnA7VS91XYw0bRotKhkYs015O2+4uH5aRv8B0HsBWqBxR06Uvah6gIBzS4oopBcKKMUtAhKBRQKQCGuN+G//IBv/wDsK3f/AKNauzNcb8N/+QDf/wDYVu//AEa1WvhYkdnRRRUoYlLRRQAVyvxJ/wCSda9/15vXUmuW+JH/ACTrXv8Ar0eqh8SA39N/5Blr/wBcU/8AQRVk1X07/kGWv/XFP/QRVg1L3BCdqxNa1iS3mTTdNjFxqc65RM/LEvTe/ovb64pda1mS3nj03TUWbVJ/uIeVjXu7+wyOOp7VPouiRaVC7MxnvJ233Fw/3pG/wAwB7Cna2rANF0aPSoXLyG4vJjvnuXHzSN/Qew4rU70oFJjmk9XqCFpaQUtABRRRQAUUUUAJSiikoEBrjfhv/wAgG+/7Ct3/AOjWrsjXG/Dcf8SG/wD+wrd/+jWq18LDqdkKWkFLUDCiiigBDXK/Ej/knWvf9ej11Ncp8SOPh1r3/Xo9VD4kFjodO40y1/64p/6CKzdZ1mSCZNN01FuNUnHyJniEf339B1IBxnGBVS41qW3sbLTdOj+0arPbo0cf8Ma4xvc9l6j64FaWi6NHpUUjPKbm8mbfPdOuGkb+i+ijgUWs7sa2DRdGj0iJ2aRp7ychri5c5aRv6KMnA7CtakHWlqdb3YC0UUhoELRSZozQAtFJmjNAC0lGaM0AFFGaQ0CAmuN+G5/4kN//ANhW7/8ARrV2BOB1rjfhv/yAb/1/tS7/APRrVcWuVhqdqKWmg0oqADFLRSGgY1jXkHxrXVZDpyKJm0UowuAgyplyNucc9N3tXrp9aqQarp13cNbW9/azTrndFHKrMMdcgHNTKN1Y1o1fZVFO17dzyX4X6d4utNHu7iwg09LW5m3QtqPmF2XAHy7ei5B4Nd6D49Gfl8Of+R66ke1PwKuLsrCqT55ue1zkwfHvp4c/8j07Pjz08O/+R66rAoxVc3kZnK58e+nh3/yPRnx76eHP/I9dXijFHN5Acnu8eenhz/yPRu8e/wB3w5/5Hrq8UmKObyEcru8ef3fDn/kejd49/u+HP/I9dXijFHN5Acpu8ef3fDn/AJHpc+PfTw5/5HrqsUYo5vIDlM+PfTw7/wCR6CfHvp4d/wDI9dZikNLm8gseZ+NP+Fgt4WuvKGl448z7D5nm7M/NjdxjGc9/SuR+DaamniiQWqXC6T5Lm5DAhTL/AAH5uc/e6fjXvJGaYQB0AqJLmkpHRCvyUpU+Va9eo8dKWoZp4raB5p5Y4okGWd2ChfqTSWl7a30RltLqG4jBwXhkDjPpkUznLFJRRQMjavHtKtbez+Hl7q9lDHHrqaldfYpI1AkmlEz7Yzjlwf7p64oooBbHrtq8jWkDTDEpRS4xjnHNWKKKQBS0UUrgGaM0UU7jEzRmiii4rBmjNFFK4WDNFFFABRRRTAQ+1GOKKKYjjPHJ8zUvC1o/zW1xqgjnhPKyr5bnaw6EZA4Na+l6Zouma3cR6d5dvctApktIm2qFycP5Y4BJ4z3xRRQM/9k=) +![md5:dbba3111d962a5dbf80ba784db4cd5ce](dbba3111d962a5dbf80ba784db4cd5ce.jpeg) Let O, O' be the circumcenters of ABE, ADE respectively. Then OA = OE and \(\angle AOB = 2\) \(\angle ABE = 90^{\circ}\) . Similarly, \(\mathrm{O'A = O'E}\) and \(\angle AOE = 2\angle ADE = 90^{\circ}\) . Hence AOE \(\mathrm{O'}\) is a square. @@ -4182,7 +4182,7 @@ A and B lie on a circle. P lies on the minor arc AB. Q and R (distinct from P) a ## Solution -![](data:image/jpeg;base64,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) +![md5:7eb52be0c1cd79557819a0f36fe43044](7eb52be0c1cd79557819a0f36fe43044.jpeg) Let AR and BQ meet at X. Since arcs QA and AP are equal, we have \(\angle \mathrm{ABX} = \angle \mathrm{ABP}\) . Similarly, \(\angle \mathrm{BAX} = \angle \mathrm{BAP}\) . Side AB is common, so triangles ABX and ABP are congruent. Hence X is the reflection of P. @@ -4255,7 +4255,7 @@ Circles C and C' intersect at O and X. A circle center O meets C at Q and R and We show first that YRSX is cyclic. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADbAVoDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKQBRRSE4pgIWwaM1DczLBby3DAssSM5Ud8DNcXpPxGN9a2WoXugXmnaVebBFezSoykucINqknkkDpSA7rNLTRinZoADSZpC1Zt7runWMRea5Q4O0qnztn6DJouluS5Jbs0xRmuYPiS+uDu0/Q7q5t24ScOqA++GINO8vxcw/1+lD2Mb/41HOuiJ9onsdGWAoDiuaPhrUZsyzeIdQSRuWSEqEB9FyM4pR4Vu8f8jJqv/fSf/E0+aXRBzS6I6UtQG4rm/wDhFrvH/Iyar/30n/xNIun+I7H91ZajbXEI533qs0mfT5cDFLml1QuZrdHS5pRiuYbUfElgdtzpiahv5DWbBAg9DvP8qsWviqxkmS3uxJaXZ4eGRThD7tjb+tNSQ/aLqb+aXNQxTw3C74ZUkXplGyKmGMVRaYtFFFMYUUUUAFFFJQAUUYpaACiiigAoopKAFooooAKKKKACiiigAooooASjNKTTWbAzxQAhbmlzWJceJ9MhvmsY5xPeK2028XL5+nt1qxqNlf3gj+yam1ltzu2wq+78+lTfsRza2RpbwOtN3A9x+dZ8ejwDSm095JnjcEO/mEMSeSc5yOaq2XhHTdPu47mBrsyIcjfdOw/EE4NL3gbl2NssAMZoBznmsfUvDFhqtz9ouWug4AXEVw6DA9gaVtMuNN0pYNHkIeJt6rO5fzPVSxyQD607vqK8lui7qKs+l3aINzNC4AHUnaa4PwD4Jt08KaHPqUmpSyrbRu1jdzEwxuOR+7I4IPI9K7DTdTupjLDqNjJbTQpukkA/cn/dbv8AlVO78deF7CWKK61yzhklRZEVn5ZT0NDehcXfY6EHFc9rPjC10ud7O3hlvb8LuEEKlsc4+YjOPxprPqWvv5aRi20iX/lruIlkX2HYHsQc1rafo9lpsarbQgMBgyN8zke7Hk1Dcn8Jm3J6R0MO2sfEerPK2p3SWNo7nbb23+sC9v3gP9K17Dw/pmnyrPBaRC4xgzFRvb1JPcmtTbzmgCqUUtyowXUUKAOlLxS0VZQg5owKWigBMCjilpO1ADeD2qvdWdvewPBcwpLE/DI4yDVoUcUrdwt3Oan8NGzPmaFcGwkHSIDMPuSgxz71mL4q1XQSIvElizRgO32y1UsuAeMqPu8eprt8ZqKWCOVGjkRXRhhlYZBrNw7GbptfC7DbS7hvbeO4t5FkikG5WU5BFTk4rnLjQJLC4e/0RvLuT1gkc+VIP7uOieuQKsadr0ctwun35S21TB3QZznHdfVfeqUraMpSa0kbg6UUgbIoDA4IPBqyx1JS0YoAKKKKACiiigAooooAKKKKACiiigAoopKAFpKD0qN2CKzuQFUZJPQCkwG3M8dvbvNK2I4wWY4JwB9KzdN1ObVLl5oIwNPAwkjghpG9QOwHI5ptlf3Op3xlgATTo9y7mX5pW9V9APXvmtgAcVK1ZG7uRi3i8zzBEm/+9t5/OpAMDAp2KWrKsIBRS0hoGNIzQeBxSk8Vn6tqtnounTX19MIYIhkknr9PU0xPTUNV1Sz0jT5by9lWOJBkk9/YetfPl74V8S+J9XutRtNCuEstRuGlglkKDy436EjOQB1xXp+l6Td+OdQj1rXoWi0iJt9hYN/Gf78g/PjA7GvQx0NTOCkrM0wuInSk5x66GT4eaFdFtbSO4WZrSJbeRgCPmQbTweeorWHSsufSyNTjvrOXyZSQJxjKyp7j1HY9ua0I5Y5JHVJFd0OHCt90+h9KS7Mz5m9yXrRQM55p1UNhRSUtABRRRQAUUUUAJiilopAJSdaWlosAzbis3U9FsdV8t7mEedFkxSjhkPqK1aaQKLEtXMKwvZra5/szUWAuMZhmHSZfX/eHGffpW4CMCqeo2EGpW5gmB4IZGU4ZGHRgexFUNOv5ra5Gm6kR5+MxTdFmH9G9uvGanZkL3XY3QaWohzyO9SDpVmotFFFABRRRQAUUUUAFFFFABRRRQAUUUhoADWRealt1e202OFZ/NDG45/1SY4JHoTxWnLIEQsxwoGSapWKWF7INWtAsjTxBRMM/MgJx+ual6kN30LkMSxxqiKFVRgBRgAelS0i5FLT2KQtFFFMYU3PNOqC4mjt4XlmkCRINzMx6CgBLi4itreWeeRY4o1Lu7HhQOSTXF21nbePdSt9ZnLNo9o5FrATxcODy7r0wCDgc5BzWVrF5J431m10pJTBYlxMsJBHnxqcln9FYfdAweua9It7eK0t47eCNY441CqqjAAp3RndSdlsSoqqoVQABwABTqB0paVy0NI9KxrzT7hNZtL3T9ke59t4CcB48HnHds4564rbqpf2qXtpLbv0dcdSPp096lg9i0pBpaxfDVzczacbe8ZpLq0cwSykYEjDqw9ua2qaBO6FooopjCjNIaKAFpKKKQCiikpaYBRRRSAKDRRTAYRzWN4i0CLXbJEMkkU8L+ZDIjEFW/D8RW2RTe1JrQlxTRlaJqTX9rIJUEdxbyGGdQcqHHXB7jnrWuvSuX8QsNDuodcjBWJW2XaoOZFPCnHTgnJrorW6iuraOeFw8cihlYdwehqYvoxQf2SeiiirLCiiigAooooAKKKKACikNLQAUjdM0UhpAZevwXdxol1DYErcuoCYbHcZ5+mat2FrFZ2cVvDGsUcahVRegrH8T3MgS00+Jmja/nEHnKcGPgtkflj8a6FF2qATnA61K1ZCScri0UtFUWJmgmmk4ozn2oFcCcck4FcZqsx8T3qrb5bSNNdpLot/q7tgvCD1AOG3cjIxVi7vJvFE72NjK0ekISt1eI2GkIPKRkfjlgcgjFcH4s+JVrZmTQNBs0axtysc1wj7NmGBYKAPmGP5miUlDV7l06U6z5aauzu/BltJdrca/dCQT37ZRXcMFi6oB+ZrreM1y+meNvDM+nW80Go2sEEkYZI2YIVB7Edq6SOVJYlkRgyOAysOQQe9TCyW5jTSiuXqS0U0MKXdk1ZYvamninZppx3osBmxasj+IJ9KEJDRQJMZM8HcSMY/CtMVm/ZbC31v7Yzhb26jEKgt99VyeB+JrSyamIkn1FpaTHFAqigNFBopDCloooEFFFFMAooooAKKKKQCGkPIpabigOpBeW63VrLA+dkiFGx6EYrmvBkl1aNe6JdiQtYv+7d5A2YmzsHtgCur21zeur/Zer2GrR9XlW1kjHAfecBie+3HH1rOas7mc42fMdKv3uv1p9RKelOzWi1NNx9FFFMAooooAKKKKAENLSGloASkPSlpDQHUz9WvINN06W/niMi2+GwACeuOPzq/G4dFI7jNZmvac2q6JdWSyLGZVADsMgYIP9KuwSI0KGN1dNvDKcg1K3Jv7xZpM1GWOOtcx4l8TPYsmmaWgn1SfhEHSMf3m9BRKSSuEpqKuzZ1PWrHS1BupwrNkInUsfSuRTUNX8dG8sLaKbStIX93Jdcec7DhkXqMdifyqHStOu9WkNr9slmRfkvtRY8y9/KiP931PIOSK761tYLG1jtrWJYoYlCoi9AB0FUrpakRvLVnOWvgfS4LaOO5aW5kQYMhcpkDpkKQK5C++HeleKfFd/cQSy6fBbuIriOIA+dLwSeegKkDjFeqSsURmA6AmuMs7W8uvBl3qVhctb6hfP9qd05wVIyq/VVx+NZSinJXLhUlSlem7M6KDSdG0qygtEtbWGCJAkauBwB7nrVKTwhpxYz2hlt5zlkmjlY7Ce4BOP6VyunpZ+O/F94utaeZrWPTbW4t7S6Gfs7ybt3HHJwM/St74c3dxd+FCZ5mlMV5cQR7v4USVlVfoAAKtwXUHFMs+Truijes51aAfM4kAWb0wgGF9+fetHS9ctNSkMKsYrtFBlt5Bh4z6Ht+VapGayda0ZdStv3Mr213GCYbiM4ZCR/I96mzSJcXHWJrdBTW5xXI+HvEdzHenQteAi1OPiOTos69mB9enHvXXE4FOFRS2KjJS1MP7JdT+MjcTxk2dvbqbZj0EhyH/AExW8OlY9hqNxfa3exoqGxtwI9/8XmgncD7YxWwKcQile6FoFLRVFBRiiigAooooAKKKKACiiigAooooAQ0lKaMUAJWbrunvqmjXVpGyrLLGVRj/AAtjg1pmo2PpSaurCaurMzPD16t/otvIoYbR5Z3dSVO0n8xWtiuZ8Kk29zqumL/qLO4AjJ6neN5z+Jrpc1MNUTB3iPoooqywooooAKKKKACiiigBpNHbig4rH1nxTonh54Y9W1GK0eYExq+csB1xge4oA1ioKlT0I6VgaNDPp+sX+neU32M/v4ZMYRNxx5YHTjGfxrV07U7LVrFL2wuEuLd/uunQ1i+MtZk8OaMNYDny7d18yLAxIGIGPrzxUy7kyTbTRo6xqQ0yyEwQvJI6wxJ0DO3ABPYe9cZa6MW12TSY5naWdDNqd6hy68jEIbqhwQc+g6VjWnjhvG/i+Cy0y3uLKVYmML3KjAXje+Mkbl4216hpOk22kWYt7dep3O7HLOx6kmiNm+YJUpKb9orWLVraQWVrHbW8SRwxjaiKMACp8CjqKMcVQzL16/OmaFeXuwSeTGWC5xmjw/YjTtCtLXzN/lp97GM5Of61U8Zj/ij9TJ/54n+datl/x5Qf7g/lWf2jO37w52fSNF8ZSz3Uct9bzW072sstrM0DOydQxX7wGeM+protO0620yyS0tIhHEnYdSe5PqT1J71W0TRY9FjvEjmeQXN3JdNuAG0uckfTitSre+hqJnBxSHmnGkpMDD8R+HLbX7II5MN1Ed0Fyn3429Qf6VBZeIYYNMuv7QDrLpxWK5x8wycYwe+QQa2L6/tdNtpLm8uEhijUszMegFfOfj7VrjUPFU9z9okawmIOntHlVkTjnA6/OCPmqJJx95I0oYf21Sykl6n0hbwxRb2ijVDI29iBjcT3NT1ieE5NSk8K6Y+sBl1IwL9oDgA7++QOK2gM1otjK1mPFFAopjCiiigAooooAKKSloAKKKKACkpaKACiiigAqNwKkprDNAmczYf8S7xjeWv3xfx/at3TZtwm339a6XbXOTjHxAtcf9A9/wD0MV0lRB7oiD3Q6iikqzQWigUUAFFFFABRRRQAxiO4rzTx5/bA8e6I+hRWs1+mnXbLFcrlXAKfKORyfWvSn9qhaztpLuK7eCNriJSiSlfmUHqAewOBSA5rwLAv2G71J7lJb2/lEl2kSlEidRt2hTyvA79etZ3xDz4i0W88PWHzTqonnm6pAEO4A+pO3GByK1r65zqVxpmgRRLqNwQ17dhQRCMYy3958YwOuDmq2v6dFofhYW9kzqZLiISyFsvKWdQxY9yRwaJOy1FKbguZHG+BfCUnhvUbHxDqlwsqTwbYngBCRbwOHB559RwMc16+rBlDA5BHBHQ1EbO3Nn9lMKG32bPL2/Lt9MelUdS1T+xzCDZSvZ7du+BS5Vuw2jtjvURXIrF1a1SpLnqu7NYGnVUstQtNQh821njmQHBKMDg+lWd2atO5mtTC8aH/AIo7VP8Arif51q2fFlBj+4P5VR8TWcuoeG7+1gA82WIqoY4Gan0e8iv9JtbmAkxugwSMHjj+lRb3yftmTYXWoN8QtYtpZJTYR2du0KkfIHJfdg+vArpie9ULnVbW21Sy06Qv9pvA5iAXIwgy2T24NZF94pMs/wBi8PwR6reKT5irKFjiA4IZ+QG9F78+la2crWReh0U00cEZlmkSONeWZ2AA+pNczdeLmubmSy0Cxl1C4Rikko+SOHPAfLYDrn+6T0qOPwtc37/afE+otebOlvEPLtynXa6ZIfB7n0FacttJJp1raaIYILF12+bFjCR+iAevIBHSjReYm7bGI2g3d4E1HUvsep6usoWB48iC1x/EFJz2GRk81p3Hhu0Gg3dvKC0sqb5ZuNzMOf6AfStmysYNPtVgt0CoOfqe5Pue5qZkDIQwBBGD71Em3uLl6nBT61qGsWfhixW6ksTq4kM09scOmxNw2k5Az0Nanhi5vLbXtY0Ge9nvYrBYXjuLkgyt5gJIJGBgY44rLj8OS6zbXosb02N3p99PHZy7dywoyhWAXI7Zx6GtTwT4f1LSba5udalE2qzlYpJ1biSKPKxtjsdvX3ohsFN3ijrR0p1NAOOadVFCUUtJQMM0UUUAFLSUtABRRRQAUUUUAFFFFABTWp1NY4oA5y45+IFr/wBg9/8A0MV0lc1Cft/jeS4h5jsrY282eMOxDDHrxXSVEepnHqx1JS0VZoIKWiigAooooYBRTTTcmkA5utc5rmrXCajaaFp7eXfXqPIJiMiKNcbm925GAeDVvWdbNhstbSL7TqM52wwKenqzeijr744p2i6L/Z3mXFzL9p1Gf5p7hu/oq+ijoPbrVLTcCfStKttJtFt7cEnO55G5Z27knqayPG//ACAk/wCvmD/0YtdNWbr1rFc6NdLIm/bG0iD0ZRlT+YFZy1TIqK8TR7CmlAw5HWs7w/cyXWhWU0snmStCvmMeu7HOfetIHmmndXGndIo3Gn/6FJBp8i2LsciSKNTg/Toaqaa+vR3YgvY7V7RQQJ1c+Y/oSuMDNbZIFYOseLNL0b5JJRNcNkJDF8xLDsSOF+pxTUW9g5Nbopav4207SNOvZ9ThuLQwqxSKVQHmA4ynPNec+GPi42lWkOm6jpo8vaUtngJYsxJPzg9Bg9q7iK3vvG6k6gLS30k8PZq4kmb/AGZGUldp68c9KyPCnw/0vQPGdyszy3sscXn2pmwVhUnb6fe6j0xUyi1JG1OVGMJKavJ7MlXTbr4gKHvdfht/IdS9npvzAKD/AM9SA43dDiul024a3uVsdO0Ca0iVgJZpowiuq8ZyOWb0zV7XC9n4c1OexXyrhbWRo2jX5gwU4x+NWdFkmm0PT5bhmaZ7aNpCw5LFRnP41pJylFXZhZsh1HSZdRnTdfSR2YGJbdFGJO/3uo7dK0ookiQRxqFQdFUYAqQCipSKSsJjHWmt92nHk1WvpfJs5pC4TahIYnocUMGY3hX72tf9hKX+S10IBxisDwbGw8OWs8ykXFwvnTswwXc9Sffiug5oj8JFL4RRS0lLTNAooooAMUlLRQAlLRRQAUUUUgCiiigAopvNFMVx1Nalqlqt+mmaZc3siF1hjLlV6nApMG9DG8MjzdV1y8QZt57hTFIOj7VCnH0IIrpeaxfC9m1jokEbsGLlpcj0YlgP1rc4pQVkRBe6FFFJVGgtFFFABTSadTT1oADisfWdZFgYrO2iNxqNzxBCv/oTH+FeDyeM8d6TW9a+wPFZ2ca3GqXAP2e2JwCB1Zj2QZGT707RdFXThLdTyG41C4O6edvX+6o/hUccD601pqwE0TRDpvmXV1KtzqdwB9ouduN3+yo7KOcDtk1sClHTmkNQ3d3YCk1G4JHtT/xrK1jX9N0NI21C7SEzErCjH5pW/uqO5oSb0Az/AA9/xK9RvtHlOWMrXMchGBIHJJAHfb3rR1bXrDR0/wBJmXzmXdHApzJJ2+Vep/CuP1V/E+t3UOpaZpraZDbgqs1wM3QX+MCE5U5xwc1u+G9D0WG3F7ZlruV23me5Yysj9DtLZ2c54HFOMVHSRnF2fKQC08S+IWH26UaPYHh7e3fdM3cMso+724x2qDXPCljZ+H3h01obaaWaIzPKwVr7B/1bsepfpk+tdrjIqtqGn22p2Ulpdxh4pBg9iD6g9j7jpVcz2LOL8LRWemeJBYyaEug30tu0qWlrOHhmQEAu20AbgSAM9ia1/Ee6w1DTtVTCRRS7LqRepjIwq+43EVb0Lwrpnh4yNZLO8kh5kuJ2mcD0DMSQPYVo6hbrdWM8BRWLxkKGHGccfrUS1FJXROOeTVLSNYtNas2urJmaNZXiJZdvzIxU/qKxPBOpvcaW2mXciHUNPbyZlDliQOAxJ9ea1NF0OLQvtMVrMxtZZTMkLD/VsxJbnqck59qcZKUbhBqSujYzSE4pe1I1FihCa5vxU5u4oNGiBaS9cKzDnylHO4j0yMfjW3dXUNjayXNxKscUY3O7HhR61jaHbz3eqXWsXSlRIPLtA3DLDwcEe7ZP0qZa+6ZTs3ynQIMAD0FSU0HninCrRpYWiiigYUUUUgCiiimAUUUUCCiiikMKKKKYCUZpaaaQgz3Nc34mka8nsdIhJ82eUSOh6PCp+cH8COK355kgheWRgqIpZiegA6muT8J3EutalqWtusRt5H8m2ZW3YCZBIz0zx0qZu75TObV1E66JFjjWNFACjAA7CpMU1Rin1S0NEGaKKKYwpDS0hPFKwCZ5rH1vWjp6pa2kX2rUpzthgU9PV29FHU9yAcVY1fV7bR7M3FwSzE7Y4kGXkY9Ao6n8Og5rN0HR7iLULvXdRUJqV6ixvEjArFGpJVM92G45bv6U1orsC1ouinTQ891MbrUJzumuG6+yj0UdB7DmtjFIOD0pk9zDawNPcSxxRKMs8jBVUe5NJtsB5OKqX+p2enQNNd3CRRqpbk8kDrgdT+Fc/ceIrrXZptP8MHZPGf3l9c27GBV7FegkzyPlPHWp7HwbZLcRXuqSS6nqEbB0lum3iF+p8oH7gz29hTUUtwKv/CRaxrsjJ4fsFitOq6heAiKVehCKDuDZ9Rjir2keGYtOke4vrqbVL18A3N0FLBRyFAAAABz2zzXQbcYpCvFO/YYEfL1rhNQsbzwbqEmraXG8+mTNuurQc7P9tf8APeu8wAKa6BlKkcHrWcoX1MqkeYr6dqNvqllHdWsqyRSLkEVaBya5yXQLjTW83w68NoCcywMmUf6AEYY9M1JB4njiufsuq20lhc43Hed0QHb9593J9KSl3BStpI6GmHn8Kjt7qC6iEsEqSxnoyMCD+IqQ4NUndF3ucnq1q2i+IY/EEUkhgn229xboBg5OFb8CSTU/9pXtt46h08O09jfWjXGWHELIVACkeu4nn0roJoo54XhlQOjgqynoQe1cPN4z0vwK50nXLuWRwxeFoUMpCE5CkLnbgEAZ6gVK916kwg+a0ep3u4gCobq7is7Z7i4kWOJAWZmPQVjS+KbOUxR6YrX88y7ohDyn0ZxkKfrTE0a91ly2v+S9qfmSyVeFPo5zh8djxRzPZBKTWi3MKKO68fX4mmVoPD8D/LE3BuiO5/2evp1rvIolijVEXaqjAA7Ckht44IViiULGihVUdAB0FTAcYohG2+5MKfKtdwAp1AorQ0CiiigYUUUUgCiiimAUUUUAFFFFABRRSZoAM01ufalNZ+rataaRZNc3Uqoo4AJ5Y+g9aG7K5Lel2ZXimSa6ig0ezmaG4vWKmVediAZbP1GQK2dL0+PTdNgtIuUiQICRycDGTWdoenzRNcX94o+1XT7sE7jGnZM9wOfzrdA4qI6+8yIq75mKAKWiirNQopvSkyc0AL061Q1XVrbSLPz7ncxZtkcUYy8rnoqjuT6Uatq9vo9mZ5yWYnbFEv3pXPRR7k8elZemaZK90dc1sp9rK/uos/Jap6DPc8ZJzznHFNLuAukaVdXF0NY1ja16RiKAcpbL6L6t/tYB5x0rdnmit4JJpnEcUal3djwqjkk1zl/4xgS6ez0i1l1W9jbbLHbjiIHozFsAjJHQmo4/Duq6peJc+ItQRoVIzp1pn7OSOVYkjfnPbOOKbT3YCS+L59UXZ4VsBqZ6rdSMUtWA+8BIAfmB7Y9akh8IteXUV7r+oS6hNH9yEDy4Qp/hZAdr8nqRXSRQxW6iOCJI0H8KLgD8KlBNLm6ICOG3itoVhgiSKFBhURQAo9gKkA5pkk8URXzJUTccDcwGTVTVNYsdGtPtWoT+RBuC79pbk9BwCaSVwL/1pCKzdH13Tdehkl025E8cbbWIRlwevcCsu41/WpNZfTrPw/cRqsmBfXJXyGUdSNp3cjOOOtPlewHTEDGKO3NZ2rxahcWDQ6dOlvM7BWmbqi9yv+0O2eKh0LSr3SoJkvdautUZ2DK9wqKUGOg2gVK2A1SecGs3WrzSLHTzca1JbRWYYAtc42ZPTr3qpc+CtAvNSbUJ7EtdO4kL+fIMt64DYramt4p4yk0SSIT911BFN2FY4+x0jSvETT3VvbatYIrAKC7wRyDHDIqnBB6596zLu0+JkOqNFZXWnSaeJAqSy4D7PUjaefxr0ZQqgKAAAMADtTgopcsb3sR7NXuZd5Z6lLpAtrbVPs96MZujbq+cdfkPHNeReIPhJ4kbUXu9P1CHVJbrLTyXbeUVI6AAZyP5V7PqV2unabdXro8i28TSlE+8wUZwPfisuXxNapZ6TMI5JP7TljiREILR7xnLew6GlKKkrM3o1Z0Zc8HZmb4Cs4tC0K30CdEi1C0jJmAUDzck/OD/ABDnGfauuGe9Z2qaUl+iOjGK6iO6GZeqn+o7fjUen6v5rva34S3vYjh1z8rjsy57Ht3qVojJyd3c1ulOFMzxnPFKDVjuPoptLTGLRRRQAlFFFIBaKSloAKKKSmIWikpCaAFopCTiq9xdw2sZknkWNQCTk+lFwbsLdXMNrDJcTyrHDGu53Y4AHqawI7FvEd3Fe39uFsoH32sLjJc4xvYfieOR0NSQRS6/Ol1dI0dhGcw27f8ALQ9nb29B6HkV0CKABjgDoKj4vQz+J+QBcAY4p46UUtWahRRRQAhrH1LxHpmnRyhrqKW4j+X7NE4aUseg2jnv6cda1JgzRuFOCQQD7182p4K8VSeJDbNY3aXpn+fUBuCkZySJev3eM1Dk420OihRjUUnKVrK/qeq/2vb2mpJqGqlr3WpC0dtZWw81bTPGxiuQjHoWOAce1W59HuruI3HjDWYo7RjgWcTiKF1POyXcSHPbjHQ03Tfhf4f0rUPt1pJqaXDOJJG+3SfvCDn5ufm/GusvNPs9Sh8i+tYbmIHdsmQOM+uDXQ5RXwnNqUvD9xpDWbWejRLHaWbeUojTEfr8h6MOeoqnJr+pS6o1vY6BNdWkc3kyXTTLEFYH5sKwyQOuRwe1bttawWcCQW8KQwxjCxxqFVR7AVLjBJ7VndXGZ+sw6vLY7dGura3u94PmXMRkXb3GARz0pmhw65DbSrrl3Z3MxfKNawmMBcdCCTzmtRc0o60r6WAwJvB+nXupte6i89+RIJYIbl90du2c5jGOO35VvlQRggGnUUXYDAoUcCjbT6SgBuPalC8dadRSAQDAoxS0UwExS0UUAVNTuzYaXdXYhacwRNIIk6vgZwPc1wOk6bc6Ff6TrLWkMo1KQxGCKAg2nnHfkf3Rx8/q3PFekGkxSAbjvWVrfh6z1+CNLrejROHjljOHQg54P4VrHNL2pNX3JlFSVmc5DqF/o8i22qRb7XdsW+DDHP3Qy9Rx1Y8VvwTxTxLJFIkiN91kYEH8aJoI7iJ4Zo1eNxhlYZBHpiuV1Dw3qVhcS3vh298hymBaSDMROew6L+AqXeO2xDvDbVHXAgmjNctZeK5Yi8euWEtg8blTMQTDjsd5x1rpIZ4p4UlidXRwGVgcgg96cZJlRmpbE+c0U0UtWWBooFFIAoooFAB3oPSkpGOBQK4buKQtWVqHiCy0+QwM5mu8BhbQDfIR6hfSucJ8U+KQ0e3+xtPdXQsRmZucA44K8e9S5rZEOolotzpNQ1uG2P2e2Aur1m2rbxsM56/Mf4Rjuazk8OHVryDUtaDGWJi0NpuBji9M+re/0rU0rRbTS41EMYaXbtedhmR/95uprSxxRyuXxBy82shFUAAU7GDS0Yq0XYKWkooAWiiigBMUm0GnUUDK11cw2VrLc3EgjhiQu7t0VQMk1A+q2MMNnK9yix3rqluTn94zDKgfUVYureK7tZ7a4jWSGVCjo3RlIwRXmHhSaTUvEum2N5I09rZrcyW8TnIjaOXahHuo4FAj1X2pcUUtAxMUtFFABSUtFABRRRQAUUUUAFGaSigBc0UlKKACjFFFACYpaKKACkxS0CgCGaCKaMpLGrqeqsMisCfwpbJI0+nTzWFyxz50bFuD1G1sj9K6U1GeDU8qZLimc75fii0XyopLK7iTpLOWWR/qFGKY3im+QYbw1qhI9AmP/Qq6bsaQqPSlyvoyeR9Gc8vjbRek915Eo4eJ1O5D3BwOtO/4TXQP+ggn/fLf4VuGKPOdi5+lL5Uf9xfyqbS7itPuYX/CaaAf+Ygmf91v8Kibxb5rbtP0u9v4P+e8CjaT3HJBzXQmKPH3F/KnBFVCFUAY7U7S7hyzfU51dU8QX+WsdLS1VeGF+SC3+7tzxTf7B1HUH36pqkphk5lsoQBH9A2N2O/Wuk6EfSlAwKfL3God2UNP0Ww0xNttbheSdzEs3Puea0AOBxQOlP7VaSRailsJS4oFFAwooooAKMUUUAFFFFAj/9k=) +![md5:898323b0a5c56d818b477fdb811101aa](898323b0a5c56d818b477fdb811101aa.jpeg) It is sufficient to show that \(\angle \mathrm{RYS} = \angle \mathrm{RXS}\) . We have \(\angle \mathrm{RYS} = \angle \mathrm{PRQ} - \angle \mathrm{RQY} = \angle \mathrm{PSQ} - \angle \mathrm{RQY} = \angle \mathrm{OSQ} - \angle \mathrm{OSP} - \angle \mathrm{RQY} = \angle \mathrm{OQS} - \angle \mathrm{RQY} - \angle \mathrm{OSP} = \angle \mathrm{OQR} - \angle \mathrm{OSP}\) . But \(\angle \mathrm{RXS}\) @@ -4280,7 +4280,7 @@ ABCD is a parallelogram. The excircle of ABC opposite A has center E and touches ## Solution -![](data:image/jpeg;base64,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) +![md5:2c62a8cc8adc05745a7f1367c555df04](2c62a8cc8adc05745a7f1367c555df04.jpeg) We have the familiar result that AY is perimeter ADC (chase round using the fact that the two tangents from the same point have the same length). Similarly, \(\mathrm{AX} =\) perimeter ABC = perimeter ADC. So \(\mathrm{AX} = \mathrm{AY} (*)\) @@ -4333,7 +4333,7 @@ A plane intersects a sphere in a circle C. The points A and B lie on the sphere All points of the circle C are equidistant from A. The plane p also meets the sphere in a circle C'. Let C" be the circle center A radius AP. Provided that AB is not a diameter of C' one of the lines BP, BQ will meet C" again at some point R (see diagram). Now since arcs AP, AQ are equal, so are the angles ABP, ABQ. Hence triangles ABP, ABQ are congruent and so BP \(= \mathrm{BR}\) . Hence BP. \(\mathrm{BQ} = \mathrm{BR}\) . BQ. But the square of the tangent from B to C" is \(\mathrm{AB}^2 - \mathrm{AP}^2\) , so \(\mathrm{BR}\cdot \mathrm{BQ} = \mathrm{AB}^2 - \mathrm{AP}^2\) , which is independent of the position of p. -![](data:image/jpeg;base64,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) +![md5:71612053944265e67d1e298662e0613e](71612053944265e67d1e298662e0613e.jpeg) ## Problem 19 @@ -4372,7 +4372,7 @@ If \(\mathrm{k} = 6\) or 9, then \(\mathrm{kb - a - 1}\geq 5\) , so the first di An equilateral triangle side 10 is divided into 100 equilateral triangles of side 1 by lines parallel to its sides. There are m equilateral tiles of 4 unit triangles and 25 - m straight tiles of 4 unit triangles (as shown below). For which values of m can they be used to tile the original triangle. [The straight tiles may be turned over.] -![](data:image/jpeg;base64,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) +![md5:0b1089ad102e2f767688703c7698be1b](0b1089ad102e2f767688703c7698be1b.jpeg) Answer \(\mathrm{m} = 5,7,9,\ldots\) or 25. @@ -4380,7 +4380,7 @@ Answer \(\mathrm{m} = 5,7,9,\ldots\) or 25. Solution -![](data:image/jpeg;base64,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) +![md5:b73a6b2d1b441479d713564cc1f6ccd9](b73a6b2d1b441479d713564cc1f6ccd9.jpeg) There are 45 upside down triangles (yellow in the diagram) and 55 right way up. A straight tile always covers two of each. A triangular tile covers 3 of one and 1 of the other. So suppose there are t1 triangular tiles placed the right way up and t2 triangular tiles placed upside down. Then we have \(3\mathrm{t}_1 + \mathrm{t}_2 + 2(25 - \mathrm{t}_1 - \mathrm{t}_2) = 55\) , so \(\mathrm{t}_1 - \mathrm{t}_2 = 5\) . So \(\mathrm{t}_1\) and \(\mathrm{t}_2\) have opposite parity and hence \(\mathrm{m} = \mathrm{t}_1 + \mathrm{t}_2\) must be odd. Also \(\mathrm{m}\geq \mathrm{t}_1\geq 5\) . Now each rhombus shown may be filled with two triangular tiles or two straight tiles. So any tiling with m odd and \(\geq 5\) is possible. diff --git a/SovietUnion/segmented/en-ASU-1961-1991.jsonl b/SovietUnion/segmented/en-ASU-1961-1991.jsonl index 99365ef3fa8d5943e38c405e05f3a2a8bd38de90..91147464b68c75cb0bfa548f2d62ff0f984c8c55 100644 --- a/SovietUnion/segmented/en-ASU-1961-1991.jsonl +++ b/SovietUnion/segmented/en-ASU-1961-1991.jsonl @@ -1,4 +1,4 @@ -{"year": "1961", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given 12 vertices and 16 edges arranged as follows: \n\n![](data:image/jpeg;base64,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)\n \n\nDraw any curve which does not pass through any vertex. Prove that the curve cannot intersect each edge just once. Intersection means that the curve crosses the edge from one side to the other. For example, a circle which had one of the edges as tangent would not intersect that edge.", "solution": "A- - - - B- - - - C | | | D- - E- - F- - G- - H | | | I- - J- - - - K- - L \n\nIf a curve intersects the boundary of a region R (such as ABFED), then it moves from inside R to outside or vice versa. Hence if R has an odd number of edges (like ABFED) then a curve intersecting all of them just once must have one endpoint inside R. But there are four such regions (ABFED, BCHGF, EFGKJ and the outside of ABCHLKJID) and only two endpoints. Note that we can easily intersect all edges but one. For example, start above AB, then cross successively AB, AD, DI, DE, EF, EJ, IJ, JK, GK, KL, HL, GH, CH, BC, FG.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 1", "solution_match": "# Solution"}} +{"year": "1961", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given 12 vertices and 16 edges arranged as follows: \n\n![md5:21705a320698046255d6dc2ebb5e015a](21705a320698046255d6dc2ebb5e015a.jpeg)\n \n\nDraw any curve which does not pass through any vertex. Prove that the curve cannot intersect each edge just once. Intersection means that the curve crosses the edge from one side to the other. For example, a circle which had one of the edges as tangent would not intersect that edge.", "solution": "A- - - - B- - - - C | | | D- - E- - F- - G- - H | | | I- - J- - - - K- - L \n\nIf a curve intersects the boundary of a region R (such as ABFED), then it moves from inside R to outside or vice versa. Hence if R has an odd number of edges (like ABFED) then a curve intersecting all of them just once must have one endpoint inside R. But there are four such regions (ABFED, BCHGF, EFGKJ and the outside of ABCHLKJID) and only two endpoints. Note that we can easily intersect all edges but one. For example, start above AB, then cross successively AB, AD, DI, DE, EF, EJ, IJ, JK, GK, KL, HL, GH, CH, BC, FG.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 1", "solution_match": "# Solution"}} {"year": "1961", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given a rectangle ABCD with AC length e and four circles centers A, B, C, D and radii a, b, c, d respectively, satisfying \\(\\mathrm{a + c = b + d< e}\\) . Prove you can inscribe a circle inside the quadrilateral whose sides are the two outer common tangents to the circles center A and C, and the two outer common tangents to the circles center B and D.", "solution": "Let O be the center of the rectangle. Let \\(\\mathrm{r} = (\\mathrm{a} + \\mathrm{c}) / 2 = (\\mathrm{b} + \\mathrm{d}) / 2\\) . The required circle has center O, radius r. Let an outer common tangent touch the circle center A at W, and the circle center C at X. Let P be the midpoint of WX, then OP is parallel to AW and CX and has length r, hence the circle center O touches AW at P. Similarly for the other common tangents.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 2", "solution_match": "# Solution"}} {"year": "1961", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "AllSovietUnion", "problem": "Prove that any 39 successive natural numbers include at least one whose digit sum is divisible by 11.", "solution": "Let n be the smallest number in the sequence and m the smallest with last digit 0. m and m+10 have different digit sums unless (possibly) the penultimate digit of m is 9, but in that case m+10 and m+20 have different digit sums. So two of m, m+10, m+20 are sure to have different digit sums. Hence at least one has a digit sum not congruent to 1 mod 11. Adding the appropriate final digit gives a number whose digit sum is divisible by 11. This number lies in the range m to m+29 and m<=n+9. Hence the result. n=999981 shows it is best possible.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 3", "solution_match": "# Solution"}} {"year": "1961", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "AllSovietUnion", "problem": "(a) Arrange 7 stars in the 16 places of a 4 x 4 array, so that no 2 rows and 2 columns contain all the stars. \n(b) Prove this is not possible for <7 stars.", "solution": "(a) \\(* * .\\) \\(* .* .\\) \\(* * .\\) \\(* .* .\\) \n\nPick any two rows. The unpicked stars lie in different columns. \n\n(b) If there is a row with at least 3 stars, pick it. That leaves at most 3 stars, pick the row for one and the columns for the others. Now assume no row has more than 2 stars. 6 stars in <6 rows, so we can pick a row with 2 stars. That leaves 4 stars in 3 rows, so we can pick another row with 2 stars. That leaves 2 stars. Pick their columns. [This glosses over the case of <6 stars. In this case we can add extra stars to make the number up to 6. Now the procedure above deals with the original stars and the extra stars, and in particular with the original stars.]", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 4", "solution_match": "# Solution"}} @@ -47,7 +47,7 @@ {"year": "1964", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find all possible integer solutions for \\(\\mathrm{sqrt(x + sqrt(x\\ldots(x + sqrt(x)) \\ldots)) = y}\\) , where there are 1998 square roots.", "solution": "Let \\(s_{1} = \\mathrm{sqrt(x)}\\) , \\(s_{2} = \\mathrm{sqrt(x + s_{1})}\\) , \\(s_{3} = \\mathrm{sqrt(x + s_{2})}\\) and so on. So the equation given is \\(y = s_{1998}\\) . We show first that all \\(s_{\\mathrm{n}}\\) must be integral for \\(1 \\ll n \\ll 1998\\) . \\(y\\) is integral, so \\(s_{1998}\\) is integral. Now suppose \\(s_{\\mathrm{n}}\\) is integral. Then \\(s_{\\mathrm{n - 1}} = s_{\\mathrm{n}}^{2} - x\\) is integral, proving the claim. \n\nSo in particular \\(s_{1}\\) and \\(s_{2}\\) are integers and \\(s_{2}^{2} = s_{1}^{2} + s_{1}\\) . But if \\(s_{1} > 0\\) , then \\(s_{1}^{2} < s_{1}^{2} + s_{1} < (s_{1} + 1)^{2}\\) , which is impossible. Similarly \\(s_{1} < 0\\) is impossible. So the only possible solution is \\(s_{1} = 0\\) and hence \\(x = 0\\) and \\(y = 0\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 6", "solution_match": "# Solution"}} {"year": "1964", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABCD is a convex quadrilateral. A' is the foot of the perpendicular from A to the diagonal BD, B' is the foot of the perpendicular from B to the diagonal AC, and so on. Prove that A'B'C'D' is similar to ABCD.", "solution": "Let the diagonals meet at O. Then \\(\\mathrm{CC^{\\prime}O}\\) is similar to AA'O (because \\(\\mathrm{CC^{\\prime}O = AA^{\\prime}O = 90}\\) , and COC', AOA' are opposite angles), so \\(\\mathrm{A^{\\prime}O / C^{\\prime}O = AO / CO}\\) . Similarly, \\(\\mathrm{B^{\\prime}O / D^{\\prime}O = BO / DO}\\) . AA'O is also similar to BB'O, so \\(\\mathrm{A^{\\prime}O / B^{\\prime}O = AO / BO}\\) . Thus \\(\\mathrm{OA^{\\prime}:OB^{\\prime}:OC^{\\prime}:OD^{\\prime} =}\\) OA:OB:OC:OD. Hence triangles OA'B' and OAB are similar. Likewise OB'C' and OBC, OC'D' and OCD, and OD'A' and ODA. Hence result.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 7", "solution_match": "# Solution"}} {"year": "1964", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find all natural numbers n such that \\(\\mathrm{n}^2\\) does not divide n!.", "solution": "Answer: \\(\\mathrm{n} = 4\\) or prime. \n\nIf \\(\\mathrm{n} = \\mathrm{rs}\\) , with \\(1< \\mathrm{r}< \\mathrm{s}\\) , then \\(\\mathrm{r}< \\mathrm{s}< \\mathrm{n}\\) , and hence \\(\\mathrm{rsn} = \\mathrm{n}^2\\) divides n!. Similarly, if \\(\\mathrm{n} = \\mathrm{r}^2\\) with \\(\\mathrm{r} > 2\\) , then \\(\\mathrm{r}< 2\\mathrm{r}< \\mathrm{n}\\) , and hence \\(\\mathrm{n}^2\\) divides n!. This covers all possibilities except \\(\\mathrm{n} = 4\\) or \\(\\mathrm{n} =\\) prime, and it is easy to see that in these cases \\(\\mathrm{n}^2\\) does not divide n!.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} -{"year": "1964", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given a lattice of regular hexagons. A bug crawls from vertex A to vertex B along edges of the hexagons, taking the shortest possible path (or one of them). Prove that it travels a distance at least AB/2 in one direction. If it travels exactly AB/2 in one direction, how many edges does it traverse?", "solution": "![](data:image/jpeg;base64,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)\n \n\nSuppose vertex A is that marked \\* at the bottom left. Without loss of generality, B is in a 60 degree sector as shown. Assume the edges have unit length. The vertices can be partitioned into two sets (marked ° and . in the diagram). Each set forms a skewed lattice with axes at 60 degrees. Any path must alternate between the two lattices. \n\nIf B is on the same lattice as A, then we can give B coordinates (m,n) relative to A and the shortest path from A to B must move m units east and n units east of north. The shortest path between a lattice point and the next lattice point east is evidently one edge in direction 3 followed by one edge in direction 2. Similarly, the shortest path between a lattice point and the next lattice point east of north is one edge in direction 1, followed by one edge in direction 2. So a shortest path from A to B must have \\(\\mathrm{m + n}\\) edges in direction 2. \n\nB is a distance \\(\\sqrt[3]{(m + n / 2)}\\) east of A and a distance \\(3\\mathrm{n} / 2\\) north of A, so \\(\\mathrm{AB}^2 = (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2)\\) \\(< (4\\mathrm{m}^2 + 8\\mathrm{mn} + 4\\mathrm{n}^2) = 4(\\mathrm{m} + \\mathrm{n})^2\\) . So in this case the bug must travel more than AB/2 in direction 2.\n\n\n\nNow suppose B is on the other lattice. Let C be the lattice point immediately north of A and D the lattice point in direction 3 from A. Then a shortest path from A to B must either be A to C and then a shortest path from C to B, or A to D and then a shortest path from D to B. Take B to have coordinates (m, n) relative to C or D. \n\nIn the first case, \\(\\mathrm{AB}^2 = (\\sqrt{3} (\\mathrm{m} + \\mathrm{n} / 2))^2 + (3\\mathrm{n} / 2 + 1)^2 = (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{n} + 1\\) and a shortest path has \\(\\mathrm{m} + \\mathrm{n}\\) units in direction 2. But \\(4(\\mathrm{m} + \\mathrm{n})^2 > (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{n} + 1\\) , if \\(\\mathrm{m}^2 + \\mathrm{n}^2 + 5\\mathrm{mn} > 3\\mathrm{n} + 1\\) , which is true for m, n at least 1. If \\(\\mathrm{m} = 0\\) and \\(\\mathrm{n} = 1\\) , then a shortest path has 2 units in direction 1 and \\(\\mathrm{AB} = \\sqrt{7} < 4\\) . If \\(\\mathrm{m} = 1\\) and \\(\\mathrm{n} = 0\\) , then \\(\\mathrm{AB} = 2\\) and a shortest path has 1 unit in each direction. So in this case (the only one so far) we have equality. \n\nIt remains to consider the case where the path starts out towards D. In this case \\(\\mathrm{AB}^2 = (\\sqrt{3} (\\mathrm{m} + \\mathrm{n} / 2) + \\sqrt{3} /2)^2 + (3\\mathrm{n} / 2 - 1 / 2)^2 = (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{m} + 1\\) and a path has \\(\\mathrm{m} + \\mathrm{n}\\) units in direction 2. But \\(4(\\mathrm{m} + \\mathrm{n})^2 > (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{m} + 1\\) for \\(\\mathrm{m}^2 + \\mathrm{n}^2 + 5\\mathrm{mn} > 3\\mathrm{m} + 1\\) , which is true for m, n at least 1. If \\(\\mathrm{m} = 1\\) , \\(\\mathrm{n} = 0\\) , then a shortest path has 2 units in direction 3 and \\(\\mathrm{AB} = \\sqrt{7} < 4\\) . Finally, if \\(\\mathrm{m} = 0\\) and \\(\\mathrm{n} = 1\\) , then a shortest path has 1 unit in each direction and \\(\\mathrm{AB} = 2\\) . \n\nThus the answer to the final question is 3, because the only cases where the bug travels exactly \\(\\mathrm{AB} / 2\\) in one direction are where it goes to the opposite vertex of a hexagon it is on.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": "# Solution"}} +{"year": "1964", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given a lattice of regular hexagons. A bug crawls from vertex A to vertex B along edges of the hexagons, taking the shortest possible path (or one of them). Prove that it travels a distance at least AB/2 in one direction. If it travels exactly AB/2 in one direction, how many edges does it traverse?", "solution": "![md5:675f77deace78f718b28d352bbac53d9](675f77deace78f718b28d352bbac53d9.jpeg)\n \n\nSuppose vertex A is that marked \\* at the bottom left. Without loss of generality, B is in a 60 degree sector as shown. Assume the edges have unit length. The vertices can be partitioned into two sets (marked ° and . in the diagram). Each set forms a skewed lattice with axes at 60 degrees. Any path must alternate between the two lattices. \n\nIf B is on the same lattice as A, then we can give B coordinates (m,n) relative to A and the shortest path from A to B must move m units east and n units east of north. The shortest path between a lattice point and the next lattice point east is evidently one edge in direction 3 followed by one edge in direction 2. Similarly, the shortest path between a lattice point and the next lattice point east of north is one edge in direction 1, followed by one edge in direction 2. So a shortest path from A to B must have \\(\\mathrm{m + n}\\) edges in direction 2. \n\nB is a distance \\(\\sqrt[3]{(m + n / 2)}\\) east of A and a distance \\(3\\mathrm{n} / 2\\) north of A, so \\(\\mathrm{AB}^2 = (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2)\\) \\(< (4\\mathrm{m}^2 + 8\\mathrm{mn} + 4\\mathrm{n}^2) = 4(\\mathrm{m} + \\mathrm{n})^2\\) . So in this case the bug must travel more than AB/2 in direction 2.\n\n\n\nNow suppose B is on the other lattice. Let C be the lattice point immediately north of A and D the lattice point in direction 3 from A. Then a shortest path from A to B must either be A to C and then a shortest path from C to B, or A to D and then a shortest path from D to B. Take B to have coordinates (m, n) relative to C or D. \n\nIn the first case, \\(\\mathrm{AB}^2 = (\\sqrt{3} (\\mathrm{m} + \\mathrm{n} / 2))^2 + (3\\mathrm{n} / 2 + 1)^2 = (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{n} + 1\\) and a shortest path has \\(\\mathrm{m} + \\mathrm{n}\\) units in direction 2. But \\(4(\\mathrm{m} + \\mathrm{n})^2 > (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{n} + 1\\) , if \\(\\mathrm{m}^2 + \\mathrm{n}^2 + 5\\mathrm{mn} > 3\\mathrm{n} + 1\\) , which is true for m, n at least 1. If \\(\\mathrm{m} = 0\\) and \\(\\mathrm{n} = 1\\) , then a shortest path has 2 units in direction 1 and \\(\\mathrm{AB} = \\sqrt{7} < 4\\) . If \\(\\mathrm{m} = 1\\) and \\(\\mathrm{n} = 0\\) , then \\(\\mathrm{AB} = 2\\) and a shortest path has 1 unit in each direction. So in this case (the only one so far) we have equality. \n\nIt remains to consider the case where the path starts out towards D. In this case \\(\\mathrm{AB}^2 = (\\sqrt{3} (\\mathrm{m} + \\mathrm{n} / 2) + \\sqrt{3} /2)^2 + (3\\mathrm{n} / 2 - 1 / 2)^2 = (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{m} + 1\\) and a path has \\(\\mathrm{m} + \\mathrm{n}\\) units in direction 2. But \\(4(\\mathrm{m} + \\mathrm{n})^2 > (3\\mathrm{m}^2 + 3\\mathrm{mn} + 3\\mathrm{n}^2) + 3\\mathrm{m} + 1\\) for \\(\\mathrm{m}^2 + \\mathrm{n}^2 + 5\\mathrm{mn} > 3\\mathrm{m} + 1\\) , which is true for m, n at least 1. If \\(\\mathrm{m} = 1\\) , \\(\\mathrm{n} = 0\\) , then a shortest path has 2 units in direction 3 and \\(\\mathrm{AB} = \\sqrt{7} < 4\\) . Finally, if \\(\\mathrm{m} = 0\\) and \\(\\mathrm{n} = 1\\) , then a shortest path has 1 unit in each direction and \\(\\mathrm{AB} = 2\\) . \n\nThus the answer to the final question is 3, because the only cases where the bug travels exactly \\(\\mathrm{AB} / 2\\) in one direction are where it goes to the opposite vertex of a hexagon it is on.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": "# Solution"}} {"year": "1964", "tier": "T1", "problem_label": "10", "problem_type": null, "exam": "AllSovietUnion", "problem": "A circle center O is inscribed in ABCD (touching every side). Prove that angle AOB + angle COD equals 180 degrees.", "solution": "Let AB touch the circle at W, BC at X, CD at Y, and DA at Z. Then AO bisects angle ZOW and BO bisects angle XOW. So angle AOB is half angle ZOX. Similarly angle COD is half angle XOZ and hence angle AOB + angle COD equals 180.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 10", "solution_match": "# Solution"}} {"year": "1964", "tier": "T1", "problem_label": "11", "problem_type": null, "exam": "AllSovietUnion", "problem": "The natural numbers a, b, n are such that for every natural number k not equal to b, b - k divides a - \\(\\mathrm{k^n}\\) . Prove that \\(\\mathrm{a} = \\mathrm{b^n}\\) .", "solution": "We have \\(\\mathrm{k^n - a = b^n - a}\\) (mod b - k). Hence \\(\\mathrm{b^n - a = 0}\\) (mod b - k) for every k not equal to b. But if \\(\\mathrm{b^n}\\) does not equal a, then by taking \\(\\mathrm{k - b > b^n - a}\\) we could render the equation false.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 11", "solution_match": "# Solution"}} {"year": "1964", "tier": "T1", "problem_label": "12", "problem_type": null, "exam": "AllSovietUnion", "problem": "How many (algebraically) different expressions can we obtain by placing parentheses in \\(\\mathrm{a_1 / a_2 / ... / a_n?}\\)", "solution": "Answer \\(2^{\\mathrm{n} - 2}\\) . \\(\\mathrm{a_1}\\) must be in the numerator, and \\(\\mathrm{a_2}\\) must be in the denominator, but the other symbols can be in either. This is easily proved by induction.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 12", "solution_match": "# Solution"}} @@ -99,7 +99,7 @@ {"year": "1968", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "AllSovietUnion", "problem": "Prove that: \n\n\\[2 / (\\mathrm{x}^{2} - 1) + 4 / (\\mathrm{x}^{2} - 4) + 6 / (\\mathrm{x}^{2} - 9) + \\ldots +20 / (\\mathrm{x}^{2} - 100) =\\] \\[11 / ((\\mathrm{x} - 1)(\\mathrm{x} + 10)) + 11 / ((\\mathrm{x} - 2)(\\mathrm{x} + 9)) + \\ldots +11 / ((\\mathrm{x} - 10)(\\mathrm{x} + 1)).\\]", "solution": "\\[\\mathrm{lhs} = 1 / (\\mathrm{x} - 1) - 1 / (\\mathrm{x} + 1) + 1 / (\\mathrm{x} - 2) - 1 / (\\mathrm{x} + 2) + \\ldots +1 / (\\mathrm{x} + 10) - 1 / (\\mathrm{x} - 10) =\\] \\[1 / (\\mathrm{x} - 1) - 1 / (\\mathrm{x} + 10) + 1 / (\\mathrm{x} - 2) - 1 / (\\mathrm{x} + 9) + \\ldots +1 / (\\mathrm{x} - 10) - 1 / (\\mathrm{x} + 1) = \\mathrm{rhs}.\\]", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 5", "solution_match": "# Solution"}} {"year": "1968", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "AllSovietUnion", "problem": "The difference between the longest and shortest diagonals of the regular n- gon equals its side. Find all possible n.", "solution": "Answer: \\(\\mathrm{n} = 9\\) \n\nFor \\(\\mathrm{n}< 6\\) , there is at most one length of diagonal. For \\(\\mathrm{n} = 6\\) , 7 the longest and shortest, and a side of the n- gon form a triangle, so the difference between the longest and shortest is less than the side. \n\nFor \\(\\mathrm{n} > 7\\) the side has length 2R sin \\(\\pi /\\mathrm{n}\\) , the shortest diagonal has length 2R sin \\(2\\pi /\\mathrm{n}\\) , and the longest diagonal has length 2R for n even and 2R cos \\(\\pi /2\\mathrm{n}\\) for n odd (where R is the radius of the circumcircle). Thus we require: \n\n\\(\\sin 2\\pi /\\mathrm{n} + \\sin \\pi /\\mathrm{n} = 1\\) and n even, or\n\n\n\n\\(\\sin 2\\pi /\\mathrm{n} + \\sin \\pi /\\mathrm{n} = \\cos \\pi /2\\mathrm{n}\\) and n odd. \n\nEvidently the lhs is a strictly decreasing function of n and the rhs is an increasing function of n, so there can be at most one solution of each equation. The second equation is satisfied by n \\(= 9\\) , although it is easier to see that there is a quadrilateral with the longest diagonal and shortest diagonals as one pair of opposite sides, and 9- gon sides as the other pair of opposite sides. The angle between the longest side and an adjacent side is 60, so that its length is the length of the shortest diagonal plus \\(2 \\times 9\\) - gon side x cos 60. Hence that is the only solution for n odd. \n\nFor \\(\\mathrm{n} = 8\\) we have the same quadrilateral as for the 9- gon except that the angle is 67.5 and hence the difference is less than 1. For \\(\\mathrm{n} = 10\\) , \\(\\sin 2\\pi /10 + \\sin \\pi /10 = \\sin \\pi /10\\) (2 cos \\(\\pi /10 + 1\\) ) \\(< 3\\) sin \\(\\pi /10< 3\\pi /10< 1\\) . So there are no solutions for n even \\(\\geq 10\\) , and hence no solutions for n even.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 6", "solution_match": "# Solution"}} {"year": "1968", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "AllSovietUnion", "problem": "The sequence \\(\\mathrm{a}_{\\mathrm{n}}\\) is defined as follows: \\(\\mathrm{a}_{1} = 1\\) , \\(\\mathrm{a}_{\\mathrm{n} + 1} = \\mathrm{a}_{\\mathrm{n}} + 1 / \\mathrm{a}_{\\mathrm{n}}\\) for \\(\\mathrm{n} \\geq 1\\) . Prove that \\(\\mathrm{a}_{100} > 14\\) .", "solution": "First we must notice that for \\(1 \\leq \\mathrm{a}\\) , b we have \\(\\mathrm{a} < \\mathrm{b}\\) , then \\(\\mathrm{a} + 1 / \\mathrm{a} < \\mathrm{b} + 1 / \\mathrm{b}\\) . This is basic to any estimation. \n\nThe obvious approach is to notice that if \\(\\mathrm{a}_{\\mathrm{i}} \\leq \\mathrm{n}\\) , then \\(\\mathrm{a}_{\\mathrm{i} + 1} \\geq \\mathrm{a}_{\\mathrm{i}} + 1 / \\mathrm{n}\\) . Hence it takes at most n steps to get from \\(\\mathrm{n} - 1\\) to \\(\\mathrm{n}\\) . Unfortunately, this does not quite work: we need \\(2 + 3 + \\ldots + 14 = 104\\) steps to get from 1 to 14. \n\nThe trick is to notice that \\(\\mathrm{a}_{\\mathrm{n} + 1}^{2} > \\mathrm{a}_{\\mathrm{n}}^{2} + 2\\) . But \\(\\mathrm{a}_{2} = 2\\) , so \\(\\mathrm{a}_{\\mathrm{n}}^{2} > 2\\mathrm{n}\\) . That gives \\(\\mathrm{a}_{100}^{2} > 200 > 14^{2}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 7", "solution_match": "# Solution"}} -{"year": "1968", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given point O inside the acute- angled triangle ABC, and point O' inside the acute- angled triangle A'B'C'. D, E, F are the feet of the perpendiculars from O to BC, CA, AB respectively, and D', E', F' are the feet of the perpendiculars from O' to B'C', C'A', A'B' respectively. OD is parallel to O'A', OE is parallel to O'B' and OF is parallel to O'C'. Also OD- O'A' = OE- O'B' = OF- O'C'. Prove that O'D' is parallel to OA, O'E' to OB and O'F' to OC, and that O'D' OA = O'E' OB = O'F' OC.", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet \\(\\Gamma\\) be the circumcircle of DEF. Let OD, OE, OF meet it again at A\", B\", C\" respectively. Then the figure O'A'B'C' must be similar to OA\"B\"C\". So to prove that OD is parallel to O'A', we have to prove that AO is perpendicular to B\"C\". \n\nSo AO meets B\"C\" at D\". Now since \\(\\square \\mathrm{AFC}'' = 90^{0}\\) and \\(\\square \\mathrm{AD}''\\mathrm{C}'' = 90^{0}\\) , both F and D' lie on the circle diameter AC\". Hence AO- OD\" = OF- OC\". Similarly, BO meets C\"A\" at E\", and CO meets A\"B\" at F\", and BO- OE\" = OD- OA\" and CO- OF\" = OE- OB\". Hence OD\". OA = OE\". OB = OF\". OC. So using the similarity, OD'- OA = OE'- OB = OF'. OC.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} +{"year": "1968", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given point O inside the acute- angled triangle ABC, and point O' inside the acute- angled triangle A'B'C'. D, E, F are the feet of the perpendiculars from O to BC, CA, AB respectively, and D', E', F' are the feet of the perpendiculars from O' to B'C', C'A', A'B' respectively. OD is parallel to O'A', OE is parallel to O'B' and OF is parallel to O'C'. Also OD- O'A' = OE- O'B' = OF- O'C'. Prove that O'D' is parallel to OA, O'E' to OB and O'F' to OC, and that O'D' OA = O'E' OB = O'F' OC.", "solution": "![md5:ca87b07b2609f5391dc57bee5f28e69d](ca87b07b2609f5391dc57bee5f28e69d.jpeg)\n \n\nLet \\(\\Gamma\\) be the circumcircle of DEF. Let OD, OE, OF meet it again at A\", B\", C\" respectively. Then the figure O'A'B'C' must be similar to OA\"B\"C\". So to prove that OD is parallel to O'A', we have to prove that AO is perpendicular to B\"C\". \n\nSo AO meets B\"C\" at D\". Now since \\(\\square \\mathrm{AFC}'' = 90^{0}\\) and \\(\\square \\mathrm{AD}''\\mathrm{C}'' = 90^{0}\\) , both F and D' lie on the circle diameter AC\". Hence AO- OD\" = OF- OC\". Similarly, BO meets C\"A\" at E\", and CO meets A\"B\" at F\", and BO- OE\" = OD- OA\" and CO- OF\" = OE- OB\". Hence OD\". OA = OE\". OB = OF\". OC. So using the similarity, OD'- OA = OE'- OB = OF'. OC.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} {"year": "1968", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Prove that any positive integer not exceeding n! can be written as a sum of at most n distinct factors of n!.", "solution": "Given \\(\\mathrm{m}\\leq \\mathrm{n}!\\) write \\(\\mathrm{m} = \\mathrm{nq} + \\mathrm{r}\\) (\\*), with \\(0\\leq \\mathrm{q},0\\leq \\mathrm{r}< \\mathrm{m}\\) . Then \\(\\mathrm{q}\\leq (\\mathrm{n} - 1)!\\) , so \\(\\mathrm{q}\\) is a sum of at most n- 1 distinct factors of (n- 1)!. r is itself a factor of n! and is not divisible by n, so (\\*) expresses m as a sum of at most n distinct factors of n!.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": "# Solution"}} {"year": "1968", "tier": "T1", "problem_label": "10", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given a triangle ABC, and D on the segment AB, E on the segment AC, such that AD = DE = AC, BD = AE, and DE is parallel to BC. Prove that BD equals the side of a regular 10- gon inscribed in a circle with radius AC.", "solution": "\\(\\mathrm{DA} = \\mathrm{DE}\\) , so DAE is isosceles. DE is parallel to BC, so ABC is isosceles, so \\(\\mathrm{BA} = \\mathrm{AC} / (2 \\cos \\mathrm{A})\\) . Hence \\(\\mathrm{BD} = \\mathrm{AC} / (2 \\cos \\mathrm{A}) - \\mathrm{AC}\\) . But \\(\\mathrm{AE} = 2 \\mathrm{AC} \\cos \\mathrm{A}\\) , so we have an equation for \\(\\mathrm{c} = \\mathrm{cos} \\mathrm{A}: 4 \\mathrm{c}^{2} + 2 \\mathrm{c} - 1 = 0\\) . \n\n\\(2\\pi /5,4\\pi /5,6\\pi /5,8\\pi /5\\) and \\(10\\pi /5\\) are the roots of: real part of \\((\\cos \\theta + \\mathrm{i}\\sin \\theta)^{5} = 1\\) . Expanding this gives that \\(\\cos 2\\pi /5\\) , \\(\\cos 4\\pi /5\\) , \\(\\cos 6\\pi /5\\) , \\(\\cos 8\\pi /5\\) and 1 are the roots of \\(16\\mathrm{c}^{5} - 20\\mathrm{c}^{3} + 5\\mathrm{c} - 1 = 0\\) . Dividing by \\((\\mathrm{c} - 1)\\) gives \\(16\\mathrm{c}^{4} + 16\\mathrm{c}^{3} - 4\\mathrm{c}^{2} - 4\\mathrm{c} + 1 = (4\\mathrm{c}^{2} + 2\\mathrm{c} - 1)^{2}\\) . So \\(\\cos 2\\pi /5\\) ( \\(=\\) cos \\(8\\pi /5\\) ) and \\(\\cos 4\\pi /5\\) ( \\(=\\) cos \\(6\\pi /5\\) ) are the roots of \\(4\\mathrm{c}^{2} + 2\\mathrm{c} - 1 = 0\\) .\n\n\n\nWe know that \\(\\mathrm{A}< 90^{\\circ}\\) (since \\(\\mathrm{A} = \\mathrm{C}\\) and their sum is less than \\(180^{\\circ}\\) ). Hence \\(\\mathrm{A} = 2\\pi /5\\) . So BD \\(= 2\\) AC cos \\(2\\pi /5 = 2\\) AC sin \\(\\pi /10\\) , which is the side length for a regular 10- gon inscribed in a circle radius AC.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 10", "solution_match": "# Solution"}} {"year": "1968", "tier": "T1", "problem_label": "11", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given a regular tetrahedron ABCD, prove that it is contained in the three spheres on diameters AB, BC and AD. Is this true for any tetrahedron?", "solution": "Let the tetrahedron have side 1. Then the center O is a distance \\(1 / \\sqrt{8}\\) from the center of each of the spheres, so it is contained in each of the spheres. We now use convexity. \n\nTwo circles with diameters two of the sides of a triangle cover the triangle (consider the foot of the altitude to the third side), so faces ABC and ABD are certainly contained in the spheres. Consider face ACD. The sphere on BC passes through the midpoints of AC and CD, and through C, so it contains the triangle formed by these three points (by convexity). But the rest of ACD is contained in the sphere on AD. Similarly for the face BCD. Hence all the faces are contained in the spheres. But now take any point P inside the tetrahedron. Extend OP to meet a face at X. X lies in one of the spheres, but O also lies in the sphere and hence all points on OX, including P (by convexity). \n\nFalse in general. Take ABCD to be a plane square, then no points on CD are in the spheres except C and D (and we can obviously distort this slightly to make it less degenerate).", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 11", "solution_match": "# Solution"}} @@ -299,10 +299,10 @@ {"year": "1980", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find all real solutions to: \\(\\sin x + 2\\sin (x + y + z) = 0\\) \\(\\sin y + 3\\sin (x + y + z) = 0\\) \\(\\sin z + 4\\sin (x + y + z) = 0\\)", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": ""}} {"year": "1980", "tier": "T1", "problem_label": "10", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given 1980 vectors in the plane. The sum of every 1979 vectors is a multiple of the other vector. Not all the vectors are multiples of each other. Show that the sum of all the vectors is zero.", "solution": "Let the vectors be \\(\\mathbf{x}_{\\mathrm{i}}\\) and their sum \\(\\mathbf{s}\\) . Then we have \\(\\mathbf{s} - \\mathbf{x}_{\\mathrm{i}} = \\mathbf{n}_{\\mathrm{i}}\\mathbf{x}_{\\mathrm{i}}\\) for some scalar \\(\\mathbf{n}_{\\mathrm{i}}\\) . Hence \\((\\mathbf{n}_{\\mathrm{i}} + 1)\\mathbf{x}_{\\mathrm{i}} = \\mathbf{s}\\) . If \\(\\mathbf{s}\\) is non- zero, then it follows that every vector is a multiple of \\(\\mathbf{s}\\) and hence all the vectors are multiples of each other. But we are told that is not true. Hence \\(\\mathbf{s}\\) is zero.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 10", "solution_match": "# Solution"}} {"year": "1980", "tier": "T1", "problem_label": "11", "problem_type": null, "exam": "AllSovietUnion", "problem": "Let \\(\\mathbf{f}(\\mathbf{n})\\) be the sum of \\(\\mathbf{n}\\) and its digits. For example, \\(\\mathbf{f}(34) = 41\\) . Is there an integer such that \\(\\mathbf{f}(\\mathbf{n}) = 1980\\) ? Show that given any positive integer \\(\\mathbf{m}\\) we can find \\(\\mathbf{n}\\) such that \\(\\mathbf{f}(\\mathbf{n}) = \\mathbf{m}\\) or \\(\\mathbf{m} + 1\\) . \n\n## Answer \n\n\\[\\mathrm{f}(1962) = 1962 + 18 = 1980\\]", "solution": "If the last digit of \\(\\mathbf{n}\\) is not 9, then \\(\\mathbf{f}(\\mathbf{n} + 1) = \\mathbf{f}(\\mathbf{n}) + 2\\) . If the last digit of \\(\\mathbf{n}\\) is 9, then \\(\\mathbf{f}(\\mathbf{n} + 1)< \\mathbf{f}(\\mathbf{n})\\) . On the other hand \\(\\mathbf{f}\\) clearly achieves arbitrarily large values. Also \\(\\mathbf{f}(1) = 1\\) . Now consider any \\(\\mathbf{m} > 1\\) . Let \\(\\mathbf{M}\\) be the smallest integer such that \\(\\mathbf{f}(\\mathbf{M}) > \\mathbf{m}\\) . Then \\(\\mathbf{f}(\\mathbf{M} - 1)\\leq \\mathbf{m}\\) . Since \\(\\mathbf{f}(\\mathbf{M}) > \\mathbf{f}(\\mathbf{M} - 1)\\) we must have \\(\\mathbf{f}(\\mathbf{M}) = \\mathbf{f}(\\mathbf{M} - 1) + 2\\) . Hence either \\(\\mathbf{f}(\\mathbf{M}) = \\mathbf{m} + 1\\) or \\(\\mathbf{f}(\\mathbf{M} - 1) = \\mathbf{m}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 11", "solution_match": "# Solution"}} -{"year": "1980", "tier": "T1", "problem_label": "12", "problem_type": null, "exam": "AllSovietUnion", "problem": "Some unit squares in an infinite sheet of squared paper are colored red so that every \\(2 \\times 3\\) and \\(3 \\times 2\\) rectangle contains exactly two red squares. How many red squares are there in a \\(9 \\times 11\\) rectangle? \n\n## Answer \n\n33", "solution": "![](data:image/jpeg;base64,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)\n \n\nThere cannot be two red squares with a common side. For consider as the diagram shows we can immediately conclude that the squares with a \\(\\ast\\) are not red, but now the bold rectangle has at most 1 red square. Contradiction.\n\n\n![](data:image/jpeg;base64,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)\n \n\nConsider a red square. One of the two diagonally adjacent squares marked \\* must be red. But it is now easy to show that all red squares on that diagonal are red and that the other red squares are those on every third parallel diagonal line. Any \\(9 \\times 11\\) rectangle must have just three such diagonals on a 9 cell border row, and hence just 3 red cells in that border row. But the remaining \\(9 \\times 10\\) rectangle can easily be partitioned into fifteen \\(3 \\times 2\\) rectangles, each with 2 red squares.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 12", "solution_match": "# Solution"}} +{"year": "1980", "tier": "T1", "problem_label": "12", "problem_type": null, "exam": "AllSovietUnion", "problem": "Some unit squares in an infinite sheet of squared paper are colored red so that every \\(2 \\times 3\\) and \\(3 \\times 2\\) rectangle contains exactly two red squares. How many red squares are there in a \\(9 \\times 11\\) rectangle? \n\n## Answer \n\n33", "solution": "![md5:5f00730fde8fe7df4a9585aa390cc519](5f00730fde8fe7df4a9585aa390cc519.jpeg)\n \n\nThere cannot be two red squares with a common side. For consider as the diagram shows we can immediately conclude that the squares with a \\(\\ast\\) are not red, but now the bold rectangle has at most 1 red square. Contradiction.\n\n\n![md5:b97a810dbe5c47c0e3729869585fd247](b97a810dbe5c47c0e3729869585fd247.jpeg)\n \n\nConsider a red square. One of the two diagonally adjacent squares marked \\* must be red. But it is now easy to show that all red squares on that diagonal are red and that the other red squares are those on every third parallel diagonal line. Any \\(9 \\times 11\\) rectangle must have just three such diagonals on a 9 cell border row, and hence just 3 red cells in that border row. But the remaining \\(9 \\times 10\\) rectangle can easily be partitioned into fifteen \\(3 \\times 2\\) rectangles, each with 2 red squares.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 12", "solution_match": "# Solution"}} {"year": "1980", "tier": "T1", "problem_label": "13", "problem_type": null, "exam": "AllSovietUnion", "problem": "There is a flu epidemic in elf city. The course of the disease is always the same. An elf is infected one day, he is sick the next, recovered and immune the third, recovered but not immune thereafter. Every day every elf who is not sick visits all his sick friends. If he is not immune he is sure to catch flu if he visits a sick elf. On day 1 no one is immune and one or more elves are infected from some external source. Thereafter there is no further external infection and the epidemic spreads as described above. Show that it is sure to die out (irrespective of the number of elves, the number of friends each has, and the number infected on day 1). Show that if one or more elves is immune on day 1, then it is possible for the epidemic to continue indefinitely.", "solution": "This is curiously easy. Write S for sick, N for not sick and not immune, and I for immune. Suppose group A are S on day 1 and group B are N on day 1. Then on day 2, B are S, and A are I. So on day 3 no one is sick, A are N and B are I. Thereafter no one can get sick, so the epidemic has died out. \n\nSuppose on day 1, there is also group C who are I. Then on day 2, B are S, A are I and C are N. So on day 3, C are S, A are N and B are I. On day 4, A are S, B are N and C are I, the same as day 1, so the epidemic continues indefinitely.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 13", "solution_match": "# Solution"}} {"year": "1980", "tier": "T1", "problem_label": "14", "problem_type": null, "exam": "AllSovietUnion", "problem": "Define the sequence \\(\\mathbf{a}_{\\mathrm{n}}\\) of positive integers as follows. \\(\\mathbf{a}_{1} = \\mathbf{m}\\) . \\(\\mathbf{a}_{\\mathrm{n} + 1} = \\mathbf{a}_{\\mathrm{n}}\\) plus the product of the digits of \\(\\mathbf{a}_{\\mathrm{n}}\\) . For example, if \\(\\mathrm{m} = 5\\) , we have 5, 10, 10, ... . Is there an m for which the sequence is unbounded? \n\n## Answer \n\nNo.", "solution": "Put \\(\\mathrm{p(n)}\\) for the product of the digits of n. We show that, for sufficiently large n, a sequence starting below it cannot get past the \"gap\" from \\(10_{\\mathrm{n}}\\) to \\(10_{\\mathrm{n}} + 10_{\\mathrm{n} - 1}\\) . For suppose N is the last member of the sequence below the gap. Then N has at most n digits, so \\(\\mathrm{p(N)} \\leq 9^{\\mathrm{n}}\\) . But for sufficiently large n (in fact for \\(\\mathrm{n} \\geq 21\\) ) we have \\(9^{\\mathrm{n}} < 10^{\\mathrm{n} - 1}\\) . So \\(\\mathrm{N} + \\mathrm{p(N)} < 10^{\\mathrm{n}} + 10^{\\mathrm{n} - 1}\\) . But \\(\\mathrm{N} + \\mathrm{p(N)} > 10^{\\mathrm{n}}\\) by assumption. Hence \\(\\mathrm{N} + \\mathrm{p(N)}\\) is sure to have second digit (from the left) zero.\n\n\n\nSo all further terms of the sequence are the same. But for any m there is certainly a gap above m, and, as shown, the sequence will not be able to get beyond it. So it is bounded.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 14", "solution_match": "# Solution"}} -{"year": "1980", "tier": "T1", "problem_label": "15", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABC is equilateral. A line parallel to AC meets AB at M and BC at P. D is the center of the equilateral triangle BMP. E is the midpoint of AP. Find the angles of DEC. \n\n## Answer \n\n\\[\\mathrm{D} = 60^{\\circ},\\mathrm{E} = 90^{\\circ}\\]", "solution": "![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADgAPsDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD36iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4q48diDxsNF8pPKFzHZMCw8wyOm8OOfuAAg9812tABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZviDU20bw9qOppGJXtLd5gjHAYqM4oA5pvh5byaRceZNE2vu7vHq5i/fRktlcHOeF+XrXaxqUiRWbcQoBPrXlHwq8b+JfEut6la6p9nvbFFEqXlt9yJiARFkAZOCevpXrNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFea/FXV57zRrrw3pFy0N9KEWaQfdG/OyI+8nIB6DHJFdzrms2+g6VJf3IYorKiqo5Z2IVR7ZJAzXAXGjXD6rpWl6gVGq6lenU5LkncY44GDLAT/FgNgHp7UAXbvQY/CHhjSNV0u0+yvpUaNeQQ5LzRkfPGOoyWIOfau/t50ubeOeNgyOoYEHNOdQ6Mh6MMGuS8OOfDmrHwnIR9jji82wmb5cqScxZP33HLZHY9KAOvooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKwvFWsPpekSJZok+p3A8u1tjnMrHtx04yc8dKAMy4/wCKl8bxWwG7TdHzJI6/Mk05yDE46ZUbW79RRpv/ABO/iBfai376z0yIQWUyfdEjZEy57kFV69K1dKsYfCnhNIA0ky2Vuzu7Y3yYBJz6mqPw/tWh8Mm7LApqVzJfxqOqpKdwU+4B5oA6msPxJox1GCC9t2ZNQ04tPaMq7vm24K7ehyMj2zW5RQBleHNY/tzRILx0WK4I23ECtnyZR95D7g8Vq1xy/wDFI+KJ3lPl6Jqjr5e37sNyx+Yt3zISAMccdq7GgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBksscETSzSJHGgyzucBR6kmuU8PRS614kvfEk8bLAifZdObG3fDwWLKec7wcH0pfGc7ahJZeFoD+91QkzhhgG1XAlAbs2GGK6m3gS2toreIERxIEUE54AwKAOY+Id1PB4XMNpKy3NxcQxBIz80iGRQ4A6kbSc+1dNa20FlaxWttEsUEShI41GAqjoBXJ3p/tf4mWNk37saNb/blYc+aZd0e0+mMZzXY0AFFFFAGZ4g0hNc0aeyJRZSN0ErDPlSj7jj3B5qr4a1d72GbT7tXTUtO2Q3QZt24lcq+eh3AZ9s1u1yHiJDoXiOw8Rxkrat/ot8o+VFRufPc99u3HPr1oA6+ikVldAykFWGQR3FLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV7+8j0/T7i8l5SCNpCB1OBnA96sVx+pEeJPGcGj7S2n6aouboH5o53OQicdGRlDc+ooAseDbKWWybXNQIlvtQYypI33kgPMaY6AhTg46+9dOzKiM7HCqMk+gpQMDA6VkeKNVTRPDOoajJE0qwxcopwTkgf1oAx/BynUtR1jxBKPNFzcGKyuez2owVx7bi3XmuvrF8JaS+heFNN0ySVZXt4QpdRgHv/WtqgAooooAKZNEk8LxSKrI4wVYZB/Cn0UAcl4Oml0t7rwzeEq9i5+xvKfnuYDzvPb7xIx7V1tcx4006eaztdXsk33+lS/aIVJwpBG193rhSx+tbumajbavpltqNm5ktrmMSRMQRlT0ODQBaooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAxfFOsf2NokskSebeS/uraANhpXPZfUgZP4VJ4a0YaFoVvZNL586rma4K4aZ+7N6k1iaYD4t1+TVblM6bplxjTCn3Jm24aXPXIJZMdOK7GgArkPG7tqE2leHk/eRahcBb6JPvi3AJLf7I3BRmuvrj7Jv7W+Jl7ewfLHpVp9gmDdWdysgK+2KALWreNNO0PVhpDWepXV0kCzFbO1Mu1CSATj6V0FrcC7tIrhY5IxKgcJKu1lz2I7GvM/F+imf4gyX954d1bVLJtPjijfT5Cm1w7E5wy9iK9G0pEj0m0SOCW3QRKFhmOXQY6McnkfWgC5RRRQAUUUUAI6LIjI6hlYYIPQiuR0wyeHPGB0TO3Sr+MyafEPmKSKCZV/2VA24HTrXX1k+IdHXWdKliQKt2gL2spJBjlHKnI5xnGR3oA1qKxPCetf25oMU77/AD4Wa3nLgAtIh2s2PQkEj2qj8RpXg8B6lJHI0br5WGU4I/ep3oA6mimpIki7kdWHqpzTqACiiigAooooAKKKKACiiigAooooAKKKKACiiigArmvFOp3AuLHQtNmaPUL98sycPHbg4kkUnjcMrj69K37y6isbK4u5yRFBG0rkDJ2qMn9BXN+EbOe+jPiLVVSS+uixtnByI7YnMYUfwkrtLepFAG/punW2k6fFY2cYjgiHAHqTkn8SSfxq3RTZJEiieSRgiICzMxwAB1JoA4/4o6vq+h+BL290Vo0ulwDI7BSiEHLLk/eHavP/AIe/EHURPd2qeF9QvLq6KS/aZpFiknIUAlmbAY+mO1HikXHxR1K5W0mu5vD1vPHZwCGMqrStkNMSOHVCP16ivW7rw9aX+iW2m3Zc+RGqxzxHZJGyjG5G6qff3oAxv+Er8S/9CJf/APgZD/jR/wAJX4l/6ES//wDAyH/GhdSuvBzCz1JLy+0xji2u40MskY7rL3wBzvP9K6yCeK5gSeCRZIpFDI6HIYHoQaAOT/4SvxL/ANCJf/8AgZD/AI0f8JX4l/6ES/8A/AyH/GuwooA4/wD4SvxL/wBCJf8A/gZD/jR/wlfiX/oRL/8A8DIf8a7CigDj/wDhK/Ev/QiX/wD4GQ/40f8ACV+Jf+hEv/8AwMh/xrsKKAPn7Udf8T2HxOl1KK2vtOikubYT6RkbZ0CcsZR8gH1PevdbywtNa0p7TULZJrW4QeZC/II4ODj3pusaVba5o93pd4GNtdRmKQI2Dg+hrI8LapcyT3uiagoW605xHHJjb9oiwMSKvoM7c88igDX0nRtO0Ky+x6ZaJbW+4v5aZxk9Tz9KvUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZXiLWk0HRZ74xmWRcLHCp+Z2JA4HfGc/QGgDD8QOfE2uf8Irbu8C23k3l5OD/BuyqL65KkMD2NdeiLGioihUUYVVGAB6VkeHNFk0i0uGupUlvbydrm4dB8odsZC5528cA1s0AFebfETxPfy3g8IaFgajdqnnMRlvJc7W8sdCQu4nOMCuw8Ra7Fo1kVUPLezArBBH95jg8+gAAJyeOK5D4baHLd26+INVlW7ud7G1uFGFmBGDOM8hmHBB446CgBbLQbbw14g8MeEbGSUaYsM93KAxBeZCpDEjnGSeOlej1x/hFhq2va94hUbYZphZpE/LIYCyMfoTzXYUAIyq6lWUMpGCCMgiuTn8NXmhTyX3hUp50rHzrO7mbyXz3B52Y5wFGOa62igDC0bxTY6pcnTpXFvq8a5mspOHTHf6HqPYit2svWdDttXt8EmC6Rt8NzEAHicdGB/xrGj8R33h+VbbxX5IWUgQXlpE5jY9NjDkhu5PAoA62imo6SorxurowyGU5BFOoAKKKKACuW8S2l3ZaxYeItPjLG3Biv1QZeS25O1QeMhyGzxwDXU02SNZY2jdQyOCrA9waAIbG+ttSsYb2ymSe2nQPHKhyGU9CKsVyHhaX+xta1Dwq6kRW+LiyI4RYHJCwrnkldpz9a6+gAooooAKKKKACiiigAooooAKKKKACiiigArjbQDxf4oN7KjJYaHc/wChsvS4lKYMgboVwzLj1HWsXxf8SZbPxefBekxbNVuYNkNzIPlSdwDHx3XBOT2rvND0uHRdFtdPgXakKdN2fmJy3P1JoA0KjnnhtYHnuJUihjG53dsKo9ST0qSuA1/V4dSupb92afwvpEckl7sHE86HhV/vBcMGU8Zx1oAyzJfeKNTLxmS11TUbRki6p9jsxLyx/vszL2xw1egXCwaJ4faGy+zWgii8u2VyEjDkYQenLYrN8KaTLAbvWbwr9p1JllWJfmW3j2gKiE84IAJHHJNU/iCh1G10zQof+Pu+vI5Ii3C4hZZHyf8AdHFAGt4U0Y6JoMUEq7bqZmuLobsjznO58e24nFbdFFABRRRQAU2SNJY3jkUMjgqynoQeop1FAHItoepeGpPtPhzzb2BvlfTLi42oo/h8onhAPTBzxW5outW+tWjSRq0c0Z2TwSDDxN6Eenoe45rSrA1rwrbapeJqME81nqUQ/dTwuQu7sXTOHx/tZoA36K5K28V3GkSC28YJaabJIwW2njlLRTdtu4gfP3xjpXW9aACiiigDnfGWlzX2kC7s3aK+sHFzFIi5cquC8a45G8Db+Namj6nFrGk299FtHmoC6Bt3ltj5kPuDwfpV6uPJPhvxzgJt0zWVALn5Y4J1wFRQON0mWJ9xQB2FFFFABRRRQAUUUUAFFFFABRRRQAVFc3MNnazXVw4SGFDJI5/hUDJP5VLXI+JJ5fEGpHwtp8zRSx+VcX8p4UQFvuY/i3hWU46d6AOXvPCsutXWoePLbTS2qrJDc6VC7fM4iUgBucbX4b1xjpXpGk6nBq2nRXUEivuX5wONrdwQeRzVuGGO3gjghRUijUIiKMBQBgAVwWrarZfDvxLdahdl103WiGzjezXnChRj7q7FHXvQB0HiHVbqO8stF00ot9qG8ec3IgRRksQO5GdvbI5rAGlQTaxpvhzTU36ZZSm+v7lDkm4ByA3Y78uSB6dqsIZvDun6hrGoIp1/VJGFtEB5roD/AKuHI+8iMckjgAk8Vu+FdFGhaDFbMCs8rNcXILbgJpDufHtuJxQBtAAAADAHauNhZtQ+Kt1HOfOt9PsI5Lb0ildmV8EdyoAINdhI2yJ3ABKgnBOP1rnvB1hLbWN9fTPEW1O8e92RSCRY9wA27xw3TqKAOjooooAKKKKACiiigAooooAhubW3u4jFcQpKhBGHXPWuU+w6h4NZru1ubrUdHzteyfBNpH2MZ4JVRknJJwOOa7GigCjpOs2GuWYu9OuBNDkjO0qQfcEAir1c9q/hlrm7k1PSr6bT9TIB3I37qZgMKZUH3wBxjIplh4neO4Nl4htY9JutoaNpJ1aOYZxkNwA2f4euKAOkrO1vR4db0/7NK7xOjiWCePG6GQfddc8ZGe9aNFAGB4T1qXVtMeK92pqdm5hvIR1jbqufcrtPHrW/XH+IkbwzqMXiKyURWckw/tjHIaPGA4XqXzsGfSuvByAR0NAC0UUUAFFFFABRRRQAUUUUAU9V1GHStMuL2d0RIkyC5wC3QDPucD8ax/Bmnzw6U2pX8LxajqLm5mjlX54N3IiyeSF5x9elZerTf274lEkP7zT9Cie5Mi/dkuNpHlNnqApDcd+9N8KeMdX1NtFOs2tlGmtW7T2n2QuSm1dzB93sRjFAHdV55eaTF8Spbx7+InS9Pn/4lhjYhbiQL/rt46gElcdOK5nxr8QNYk8VWPhldHka1ubgCe0iJFzJEDgqTnaA+cgg5xjOK2vEHxC0y30WHQ7ZptI1SciKSF4yTYqDkl9oIIIGPlzywoAveGXvdY8VxHWtS0+7vtGs1V4rWQbobl9yy7gAOCAoGfQ16DXklz4p8H+HtX03U9AuR5agWt7BDFIXmj6ISWHRCSxOc49a9I0/xFo+qWi3VnqEDwsSAzHYcj2bBoAo+OdQuNL8F6neWrBZkjUKSMjlgp4+hNaejaZa6No1pp1krJbW8YSNWYsQPqa5XxHd2ur+MdB0yO7gVbNjqM7PINkkYzHs9zlgefSuzhubeckQzxSEdQjg4/KgCWiiigAooooAKKKKACiiigAooooAKq3+mWWqQeTfWsNwgyVEiBtpxjIz0PvVqigDjkn1nwi628tv9u8Owji78wvcQr2DKfvKvUuTnGT2rpdL1bT9asVvdMvIbu1YlVlhbcpI4PNW2UMpVgCpGCD0Nc1qXhm5W+Go6BfnT5wAZLYKPIuSPuh+CQP93B5oA3720ivrKa1mRWjlUqQyhh+Rrm/CN3Jp80nhK9kea902FXW4Zi3nQkkK7E9GJByOe3NXNE8StqNy9lqGnz6ZfKMrDcFf3y9C6EE8Z7Hn2qPxRp0wktdfsiv2rSxJKY2ziZCuGU45JAzt96AOjoqnpWoxatpVrfwgqlxGsgViMrkZwfcVcoAKKKKACiiigArB8V6vPp2lvBpuyTWLkeXZwMM7nPdh2X1J4FaGtagdJ0O/1ERiQ2sDzBCcbtoJxn8K8g8BeOLjW7uTxNrlld392geC0XS7fzPs8TNkrIBjBJAwT1AoA9U0zQo9N8KJo0DMoFu0e5zkgtnOfXkmuf8ACXgvVNIbS/7Y1K1u00iBobEW0JjIDLtbfkndwBjGKt/8J/b/APQu+JP/AAXN/jR/wn9v/wBC74k/8Fzf40AdDc2mnR3a6tcxQJPbxMguZMAxocFhk9BwPyrJ8Mw22pI3iRre4S6vlKhLk7mhjDY2LwMKSu7HvXmHiv4lpqni/T9Fa01GC2ivYDLp0lnmS7QglgwJz7beQ2favQ18e2yKFXw54jCgYAGmtwPzoA63Yv8AdH5V5xa+GNDl8TTaV4q0631PVboy3NreTJuMsIb7ntsDKvPXtW3/AMJ/b/8AQu+JP/Bc3+Ncb8RPHEC6dp9/DYazpVzb3sX+n3GnEbI+dy8nnOB8vfFAGp4c8G+FdW1bXo5vDGlm0tLpYrSVIOJE2Ak7s4b5iRx6V0B+HmiW3OjCfQ3P+sk0xxE0o7BuDkCuK+GPjqe38Hw2954f1iaKOR/s9za2hkWdSxJb25JGOa7P/hP7f/oXfEn/AILm/wAaAF/4QeX/AKG3xL/4Gj/4mmSeFte04ebonie7luD8rDV2NxHt9lXbg++ad/wn9v8A9C74k/8ABc3+NH/Cf2//AELviT/wXN/jQBD/AGf8Rf8AoPaD/wCC+T/4unJ/wnumN9pun0zWYhx9ktIjbuSe+92IwPTFSf8ACf2//Qu+JP8AwXN/jR/wn9v/ANC74k/8Fzf40AL/AMJH4q/6EiX/AMGUVIfE3iaMb5vBUyRLy7DUImKjucDk/Sj/AIT+3/6F3xJ/4Lm/xo/4T+3/AOhd8Sf+C5v8aAIf+FoeH/8Anjq//gsn/wDiaUfFDw+TjydX/wDBZP8A/E1L/wAJ/b/9C74k/wDBc3+NB8fW5GD4d8R/+C1v8aANpfEuhMob+2dPGRnBuUBH4Zpf+Ek0L/oNad/4FJ/jXFtqPhRmLN8P9RJJySdEHNJ/aHhP/on2o/8AgjFAHo6OsiK6MGRhlWU5BHqKWvIJLTw+8jMumePowxJCRmdVX2ADYA9qb9i0D/nw+IX/AH3P/wDFUAew0V5Emp6npi/Z9Cm8U21n97y7zRzdvuPU73bOOnFO/wCEj8Wf9BDXf/CZX/4qgD0nWdEtdbt0jnMkcsTb4LiE7ZIW6bkPY4JH41hpqeqeF3FrqsE19pasFXU94Z0U8KJF6sc9W4HPtXHv8QPGelHy4fDeqa8H+YzS2BtDH/s7V3Z9c1FJ8UfG0sbRyfDS8ZGBVlYuQQeoPy0Adb4burXRNcvNLiuI30q9la4sbhXDq8rEmVS44B3EYHX6121fOuq6rrUul3d8PDepeG1s3S8it4rMy27yR5Kk5wIx64BznnpXp3wt8X6j4r0a7/tRrWW7spVjee1cFJdy7geBgYzj8KAO8ooooAKxE8X+H5NeOhpqkJ1MOYzb4O7cBkjpjpzW3XiFnbSD41FsX+4azNIYzE3kCMwYDhsYyTx1oA9udFkQo6hlYYKkZBFRW9pbWisLa3ihDckRoFz+VTUUAFRXNxFaW0tzcOI4YkLyOeiqBkmpayfFKNJ4S1lEUs7WUwVVGSTsPFADpbnRfMsr2T7KZLtkFtKYwWcsMrg4z0rUrzXwlZ6ppF1pV54ijS8N1aw29lPDGwFl8ijyypyctgEt0BWvSqACo57eC6j8u4hjlTOdsihhn6GpKKAGRQxQRLHDGkca9FRQAPwFY2p+MPD+j6nHpuoapDb3km0pEwOTuOF6DueK3K8p8TeGNV8R/E27htJYbe0W0s5ZpJoWbf5czNtQjgHjn60AerUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADXjSWNo5EV0YYKsMgj6VHb2ltaKVtreKFWOSI0Cg/lU1FAGLqPi7QdJ1BLC+1KKG6fG2MhieTgdBgVsqwZQykEHoR3rzmDU7Pw3qniGx1mzuJZtRvpJ7aNLdpFljdQoG4AhckEc9K7zS4xDpVrGtp9jVYlAt9wPlcfdyOuKAP//Z)\n \n\nLet K be the midpoint of BP and L the midpoint of AC. EL is parallel to BC, so \\(\\angle ELC = 120^{\\circ}\\) . EK is parallel to AB, so \\(\\angle EKC = 60^{\\circ}\\) , so ELCK is cyclic. But \\(\\angle DKC = \\angle DLC = 90^{\\circ}\\) , so DLCK is cyclic. Hence D, K, C, L, E all lie on a circle. Hence \\(\\angle DEC = \\angle DLC = 90^{\\circ}\\) , and \\(\\angle EDC = \\angle EKC = 60^{\\circ}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 15", "solution_match": "# Solution"}} +{"year": "1980", "tier": "T1", "problem_label": "15", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABC is equilateral. A line parallel to AC meets AB at M and BC at P. D is the center of the equilateral triangle BMP. E is the midpoint of AP. Find the angles of DEC. \n\n## Answer \n\n\\[\\mathrm{D} = 60^{\\circ},\\mathrm{E} = 90^{\\circ}\\]", "solution": "![md5:a902c5010ecb112e54485bddc3d17aca](a902c5010ecb112e54485bddc3d17aca.jpeg)\n \n\nLet K be the midpoint of BP and L the midpoint of AC. EL is parallel to BC, so \\(\\angle ELC = 120^{\\circ}\\) . EK is parallel to AB, so \\(\\angle EKC = 60^{\\circ}\\) , so ELCK is cyclic. But \\(\\angle DKC = \\angle DLC = 90^{\\circ}\\) , so DLCK is cyclic. Hence D, K, C, L, E all lie on a circle. Hence \\(\\angle DEC = \\angle DLC = 90^{\\circ}\\) , and \\(\\angle EDC = \\angle EKC = 60^{\\circ}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 15", "solution_match": "# Solution"}} {"year": "1980", "tier": "T1", "problem_label": "16", "problem_type": null, "exam": "AllSovietUnion", "problem": "A rectangular box has sides \\(\\mathbf{x}< \\mathbf{y}< \\mathbf{z}\\) . Its perimeter is \\(\\mathrm{p} = 4(\\mathrm{x} + \\mathrm{y} + \\mathrm{z})\\) , its surface area is \\(\\mathrm{s} =\\) \\(2(\\mathrm{xy} + \\mathrm{yz} + \\mathrm{zx})\\) and its main diagonal has length \\(\\mathrm{d} = \\sqrt{(\\mathrm{x}^2 + \\mathrm{y}^2 + \\mathrm{z}^2)}\\) . Show that \\(3\\mathrm{x}< (\\mathrm{p} / 4-\\) \\(\\sqrt{(\\mathrm{d}^2 - \\mathrm{s} / 2)}\\) and \\(3\\mathrm{z} > (\\mathrm{p} / 4 + \\sqrt{(\\mathrm{d}^2 - \\mathrm{s} / 2)}}\\)", "solution": "We have \\(3(\\mathrm{y - x})(\\mathrm{z - x}) > 0\\) , so \\(3\\mathrm{x}^2 +3\\mathrm{yz} > 3\\mathrm{xy} + 3\\mathrm{xz}\\) . Hence \\(\\mathrm{y}^2 +\\mathrm{z}^2 +4\\mathrm{x}^2 +2\\mathrm{yz} - 4\\mathrm{xy} - 4\\mathrm{xz} > \\mathrm{x}^2 + \\mathrm{y}^2 +\\mathrm{z}^2 - \\mathrm{xy} - \\mathrm{yz} - \\mathrm{xz}\\) or \\((\\mathrm{y} + \\mathrm{z} - 2\\mathrm{x})^2 >(\\mathrm{d}^2 - \\mathrm{s} / 2)\\) . Hence \\((\\mathrm{x} + \\mathrm{y} + \\mathrm{z}) > 3\\mathrm{x} + \\sqrt{(\\mathrm{d}^2 - \\mathrm{s} / 2)}\\) . So \\(3\\mathrm{x}< \\mathrm{p} / 4 - \\sqrt{(\\mathrm{d}^2 - \\mathrm{s} / 2)}\\) . \n\nSimilarly, \\(3(\\mathrm{z - x})(\\mathrm{z - y}) > 0\\) , so \\(\\mathrm{x}^2 +\\mathrm{y}^2 +4\\mathrm{z}^2 >\\mathrm{x}^2 +\\mathrm{y}^2 +\\mathrm{z}^2 +3\\mathrm{zx} + 3\\mathrm{zy} - 3\\mathrm{xy}\\) , so \\((2\\mathrm{z} - \\mathrm{x} - \\mathrm{y})^2 >\\mathrm{x}^2 +\\mathrm{y}^2 +\\mathrm{z}^2 - \\mathrm{xy} - \\mathrm{yz} - \\mathrm{zx}\\) or \\((3\\mathrm{z} - \\mathrm{p} / 4)^2 >(\\mathrm{d}^2 - \\mathrm{s} / 2)\\) . Hence \\(3\\mathrm{z} > \\mathrm{p} / 4 + \\sqrt{(\\mathrm{d}^2 - \\mathrm{s} / 2)}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 16", "solution_match": "# Solution"}} {"year": "1980", "tier": "T1", "problem_label": "17", "problem_type": null, "exam": "AllSovietUnion", "problem": "S is a set of integers. Its smallest element is 1 and its largest element is 100. Every element of S except 1 is the sum of two distinct members of the set or double a member of the set. What is the smallest possible number of integers in S? \n\n## Answer", "solution": "Let \\(\\mathrm{n} = \\mathrm{M}(\\mathrm{n}) + \\mathrm{m}(\\mathrm{n})\\) , where \\(\\mathrm{M}(\\mathrm{n})\\geq \\mathrm{m}(\\mathrm{n})\\) . Put \\(\\mathrm{M}^{1}(\\mathrm{n}) = \\mathrm{M}(\\mathrm{n})\\) , \\(\\mathrm{M}^{2}(\\mathrm{n}) = \\mathrm{M}(\\mathrm{M}(\\mathrm{n}))\\) etc. Then \\(\\mathrm{M}(100)\\geq 50\\) , \\(\\mathrm{M}^{2}(100)\\geq 25\\) , \\(\\mathrm{M}^{3}(100)\\geq 13\\) , \\(\\mathrm{M}^{4}(100)\\geq 7\\) , \\(\\mathrm{M}^{5}(100)\\geq 4\\) , \\(\\mathrm{M}^{6}(100)\\geq 2\\) (and obviously \\(\\mathrm{n} > \\mathrm{M}(\\mathrm{n})\\) ), so we need at least 8 numbers. There are several ways of using 9 numbers. For example, {1, 2, 4, 8, 16, 32, 36, 64, 100}, where \\(36 = 4 + 32\\) , \\(100 = 36 + 64\\) and the others are double another number. \n\nDoubling every time does not work: 1, 2, 4, 8, 16, 32, 64, 128. But if we do not double every time, then we cannot get a number larger than 96 with 8 numbers: the best we can do is \\(1\\cdot 2^{6}\\) . \\((3 / 2) = 96\\) (on the occasion when we do not double the best we can do is to the largest plus the next largest, or \\(3 / 2\\) x the largest). Hence we need at least 9 numbers. [To be more formal, write the elements as \\(1 = \\mathrm{a}_{1}< \\mathrm{a}_{2}< \\ldots < \\mathrm{a}_{\\mathrm{n}}\\) , then each \\(\\mathrm{a}_{\\mathrm{i}}\\) must be a sum of preceding elements. The largest possible \\(\\mathrm{a}_{\\mathrm{i}}\\) is \\(2\\mathrm{a}_{\\mathrm{i - 1}}\\) and the next largest \\(\\mathrm{a}_{\\mathrm{i - 1}} + \\mathrm{a}_{\\mathrm{i - 2}}\\) and so on.]", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 17", "solution_match": "# Solution"}} {"year": "1980", "tier": "T1", "problem_label": "18", "problem_type": null, "exam": "AllSovietUnion", "problem": "Show that there are infinitely many positive integers n such that \\([\\mathrm{a}^{3 / 2}] + [\\mathrm{b}^{3 / 2}] = \\mathrm{n}\\) has at least 1980 integer solutions.", "solution": "Consider all a, b in the range 1, 2, 3, ..., \\(\\mathrm{N}^{2}\\) . There are \\(\\mathrm{N}^{4}\\) possible pairs of values. But \\([\\mathrm{a}^{3 / 2}]\\) and \\([\\mathrm{b}^{3 / 2}]\\) are in the range 1, 2, ..., \\(\\mathrm{N}^{3}\\) , so their sum is in the range 1, 2, ..., \\(2\\mathrm{N}^{3}\\) . Hence one of these values has at least \\(\\mathrm{N} / 2\\) solutions. By taking \\(\\mathrm{N}\\) sufficiently large we can get \\(\\mathrm{a}_{1} > 1980\\) solutions for some \\(\\mathrm{N}_{1}\\leq 2\\mathrm{N}^{3}\\) . But now by taking \\(\\mathrm{N}\\) sufficiently large we can get \\(\\mathrm{a}_{2} > \\mathrm{a}_{1}\\) solutions for some \\(\\mathrm{N}_{2}\\) . Since \\(\\mathrm{a}_{2}\\neq \\mathrm{a}_{1}\\) , we must have \\(\\mathrm{N}_{2}\\neq \\mathrm{N}_{1}\\) . In other words, we have a different n, also with \\(>1980\\) solutions. Continuing, we get an infinite sequence of distinct n each with at least 1980 solutions.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 18", "solution_match": "# Solution"}} @@ -485,7 +485,7 @@ {"year": "1988", "tier": "T1", "problem_label": "16", "problem_type": null, "exam": "AllSovietUnion", "problem": "\\(\\mathrm{n}^{2}\\) real numbers are written in a square \\(\\mathrm{n}\\times \\mathrm{n}\\) table so that the sum of the numbers in each row and column equals zero. A move is to add a row to one column and subtract it from another (so if the entries are \\(\\mathrm{a_{ij}}\\) and we select row i, column h and column k, then column h becomes \\(\\mathrm{a_{1h} + a_{i1}}\\) , \\(\\mathrm{a_{2h} + a_{i2}}\\) , ..., \\(\\mathrm{a_{nh} + a_{in}}\\) , column k becomes \\(\\mathrm{a_{1k} - a_{i1}}\\) , \\(\\mathrm{a_{2k} - a_{i2}}\\) , ..., \\(\\mathrm{a_{nk} - a_{in}}\\) , and the other entries are unchanged). Show that we can make all the entries zero by a series of moves.", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 16", "solution_match": ""}} {"year": "1988", "tier": "T1", "problem_label": "17", "problem_type": null, "exam": "AllSovietUnion", "problem": "In the acute- angled triangle ABC, the altitudes BD and CE are drawn. Let F and G be the points of the line ED such that BF and CG are perpendicular to ED. Prove that \\(\\mathrm{EF} = \\mathrm{DG}\\) .", "solution": "\\(\\angle \\mathrm{BDC} = \\angle \\mathrm{BEC} = 90^{\\circ}\\) , so BCDE is cyclic, so \\(\\angle \\mathrm{BDE} = \\angle \\mathrm{BCE} = 90^{\\circ} - \\angle \\mathrm{B}\\) . Hence \\(\\angle \\mathrm{DGC} = 90^{\\circ} - \\angle \\mathrm{CDG} = \\angle \\mathrm{BDE} = 90^{\\circ} - \\mathrm{B}\\) . So \\(\\mathrm{DG} = \\mathrm{CD}\\) sin \\(\\mathrm{DGC} = \\mathrm{BC}\\) sin CBD sin \\(\\mathrm{DGC} = \\mathrm{BC}\\) cos C cos B. Similarly EF.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 17", "solution_match": "# Solution"}} {"year": "1988", "tier": "T1", "problem_label": "18", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find the minimum value of \\(\\mathrm{xy / z + yz / x + zx / y}\\) for positive reals \\(\\mathrm{x}\\) , \\(\\mathrm{y}\\) , \\(\\mathrm{z}\\) with \\(\\mathrm{x}^{2} + \\mathrm{y}^{2} + \\mathrm{z}^{2} = 1\\) .", "solution": "Answer: min \\(\\sqrt{3}\\) when all equal. \n\nLet us consider \\(\\mathrm{z}\\) to be fixed and focus on \\(\\mathrm{x}\\) and \\(\\mathrm{y}\\) . Put \\(\\mathrm{f(x,y,z) = xy / z + yz / x + zx / y}\\) . We have \\(\\mathrm{f(x,y,z) = p / z + z(1 - z^{2}) / p = (p + k^{2} / p) / z}\\) , where \\(\\mathrm{p} = \\mathrm{xy}\\) , and \\(\\mathrm{k} = z\\sqrt{(1 - z^{2})}\\) . Now \\(\\mathrm{p}\\) can take any value in the range \\(0< \\mathrm{p}\\leq (1 - z^{2}) / 2\\) . The upper limit is achieved when \\(\\mathrm{x} = \\mathrm{y}\\) . \n\nWe have \\(\\mathrm{p} + \\mathrm{k}^{2} / \\mathrm{p} = (\\mathrm{p} - \\mathrm{k})^{2} / \\mathrm{p}\\) . For \\(\\mathrm{p}\\leq \\mathrm{k}\\) , \\((\\mathrm{p} - \\mathrm{k})\\) and \\(1 / \\mathrm{p}\\) are both decreasing functions of \\(\\mathrm{p}\\) , so \\(\\mathrm{p} + \\mathrm{k}^{2} / \\mathrm{p}\\) is a decreasing function of \\(\\mathrm{p}\\) . Thus if \\(\\mathrm{p}\\) is restricted to the interval \\((0,\\mathrm{h}]\\) , then for \\(\\mathrm{k}\\leq\\) \\(\\mathrm{h}\\) the minimum value of \\(\\mathrm{p} + \\mathrm{k}^{2} / \\mathrm{p}\\) is \\(2\\mathrm{k}\\) and occurs at \\(\\mathrm{p} = \\mathrm{k}\\) . For \\(\\mathrm{k}\\geq \\mathrm{h}\\) the minimum is \\(\\mathrm{h} + \\mathrm{k}^{2} / \\mathrm{h}\\) and occurs at \\(\\mathrm{p} = \\mathrm{h}\\) . \n\nWe have \\(\\mathrm{h} = (1 - \\mathrm{z}^{2}) / 2\\) , \\(\\mathrm{k} = z\\sqrt{(1 - \\mathrm{z}^{2})}\\) . So \\(\\mathrm{k}\\leq \\mathrm{h}\\) iff \\(\\mathrm{z}\\leq = 1 / \\sqrt{5}\\) . So if \\(\\mathrm{z}\\leq 1 / \\sqrt{5}\\) , then \\(\\mathrm{f(x,y,z)}\\geq 2\\mathrm{k} / \\mathrm{z}\\) \\(= 2\\sqrt{(1 - \\mathrm{z}^{2})}\\geq 27\\sqrt{(1 - 1 / 5)} = 4 / \\sqrt{5} >\\sqrt{3}\\) .\n\n\n\nIf \\(z > 1 / \\sqrt{5}\\) , then the minimum of \\(\\mathrm{f}(\\mathrm{x}, \\mathrm{y}, \\mathrm{z})\\) occurs at \\(\\mathrm{x} = \\mathrm{y}\\) and is \\(\\mathrm{x}^{2} / \\mathrm{z} + \\mathrm{z} + \\mathrm{z} = (1 - \\mathrm{z}^{2}) / (2\\mathrm{z}) + 2\\mathrm{z} = 3\\mathrm{z} / 2 + 1 / (2\\mathrm{z}) = (\\sqrt{3}) / 2 (\\mathrm{z} \\sqrt{3} + 1 / (\\mathrm{z} \\sqrt{3}) \\geq \\sqrt{3}\\) with equality at \\(\\mathrm{z} = 1 / \\sqrt{3}\\) (and hence \\(\\mathrm{x} = \\mathrm{y} = 1 / \\sqrt{3}\\) also).", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 18", "solution_match": "# Solution"}} -{"year": "1988", "tier": "T1", "problem_label": "19", "problem_type": null, "exam": "AllSovietUnion", "problem": "A polygonal line connects two opposite vertices of a cube with side 2. Each segment of the line has length 3 and each vertex lies on the faces (or edges) of the cube. What is the smallest number of segments the line can have? \n\nAnswer 6", "solution": "![](data:image/jpeg;base64,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)\n \n\nSuppose one endpoint of a segment length 3 is at A. Evidently the other end could be at the edge midpoints B, C, D. It could also be on the circular arc connecting B and C (with center O and radius \\(\\sqrt{5}\\) ). Similarly, it could be on arcs connecting C and D, or B and D. We claim that if X is a point of one of these arcs other than its endpoints, then the only possible segment length 3 with an endpoint at X (and the other endpoint on the surface of the cube) is AX. wlog we can consider X to be on the arc BC. Take axes with origin O, so that A is (0,0,2). Suppose X is (a,b,0) and that the other endpoint of the segment is Y (x,y,z). Then \\(\\mathrm{XY}^{2} = (\\mathrm{x} - \\mathrm{a})^{2} + (\\mathrm{y} - \\mathrm{b})^{2} + \\mathrm{z}^{2} = \\mathrm{a}^{2} + \\mathrm{b}^{2} + \\mathrm{z}^{2} - \\mathrm{x}(2\\mathrm{a} - \\mathrm{x}) - \\mathrm{y}(2\\mathrm{b} - \\mathrm{y}) = 5 + \\mathrm{z}^{2} - \\mathrm{x}(2\\mathrm{a} - \\mathrm{x}) - \\mathrm{y}(2\\mathrm{b} - \\mathrm{y})\\) . But a, \\(\\mathrm{b} > 1\\) since X is not an endpoint of the arc, so (2a- x) and (2b- y) are both positive. Hence - x(2a- x) - y(2b- y) \\(\\leq 0\\) with equality iff \\(\\mathrm{x} = \\mathrm{y} = 0\\) . Similarly, \\(\\mathrm{z}^{2} \\leq 4\\) with equality iff \\(\\mathrm{z} = 2\\) . Hence \\(\\mathrm{XY}^{2} \\leq 9\\) with equality iff \\(\\mathrm{Y} = \\mathrm{A}\\) , which proves the claim. \n\nThus if the next link of the polygonal line goes from A to anywhere except B, C, D, then it has to go back to A. So a minimal line must go to B, C, or D. \n\nNow from D the line can only go to A or O. For if it goes to Z (x,y,z), then we have \\(\\mathrm{DZ}^{2} = (\\mathrm{x} - 2)^{2} + (\\mathrm{y} - 2)^{2} + (\\mathrm{z} - 1)^{2} \\leq 2^{2} + 2^{2} + 1^{2} = 3^{2}\\) with equality iff \\(\\mathrm{x} = 0\\) , \\(\\mathrm{y} = 0\\) and \\(\\mathrm{z} = 0\\) or 2. \n\nSo let us take A as the starting point of the polygonal line. wlog the first segment is AD. Then the second segment must be DO (for a minimal line). Thus the best we can do with 2 segments is to move along an edge. It takes three such moves to get to the opposite corner, and hence at least 6 segments. But it is obvious that it can be done with 6 segments.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 19", "solution_match": "# Solution"}} +{"year": "1988", "tier": "T1", "problem_label": "19", "problem_type": null, "exam": "AllSovietUnion", "problem": "A polygonal line connects two opposite vertices of a cube with side 2. Each segment of the line has length 3 and each vertex lies on the faces (or edges) of the cube. What is the smallest number of segments the line can have? \n\nAnswer 6", "solution": "![md5:8cf996e790873a262ab31b6ce4f02ca0](8cf996e790873a262ab31b6ce4f02ca0.jpeg)\n \n\nSuppose one endpoint of a segment length 3 is at A. Evidently the other end could be at the edge midpoints B, C, D. It could also be on the circular arc connecting B and C (with center O and radius \\(\\sqrt{5}\\) ). Similarly, it could be on arcs connecting C and D, or B and D. We claim that if X is a point of one of these arcs other than its endpoints, then the only possible segment length 3 with an endpoint at X (and the other endpoint on the surface of the cube) is AX. wlog we can consider X to be on the arc BC. Take axes with origin O, so that A is (0,0,2). Suppose X is (a,b,0) and that the other endpoint of the segment is Y (x,y,z). Then \\(\\mathrm{XY}^{2} = (\\mathrm{x} - \\mathrm{a})^{2} + (\\mathrm{y} - \\mathrm{b})^{2} + \\mathrm{z}^{2} = \\mathrm{a}^{2} + \\mathrm{b}^{2} + \\mathrm{z}^{2} - \\mathrm{x}(2\\mathrm{a} - \\mathrm{x}) - \\mathrm{y}(2\\mathrm{b} - \\mathrm{y}) = 5 + \\mathrm{z}^{2} - \\mathrm{x}(2\\mathrm{a} - \\mathrm{x}) - \\mathrm{y}(2\\mathrm{b} - \\mathrm{y})\\) . But a, \\(\\mathrm{b} > 1\\) since X is not an endpoint of the arc, so (2a- x) and (2b- y) are both positive. Hence - x(2a- x) - y(2b- y) \\(\\leq 0\\) with equality iff \\(\\mathrm{x} = \\mathrm{y} = 0\\) . Similarly, \\(\\mathrm{z}^{2} \\leq 4\\) with equality iff \\(\\mathrm{z} = 2\\) . Hence \\(\\mathrm{XY}^{2} \\leq 9\\) with equality iff \\(\\mathrm{Y} = \\mathrm{A}\\) , which proves the claim. \n\nThus if the next link of the polygonal line goes from A to anywhere except B, C, D, then it has to go back to A. So a minimal line must go to B, C, or D. \n\nNow from D the line can only go to A or O. For if it goes to Z (x,y,z), then we have \\(\\mathrm{DZ}^{2} = (\\mathrm{x} - 2)^{2} + (\\mathrm{y} - 2)^{2} + (\\mathrm{z} - 1)^{2} \\leq 2^{2} + 2^{2} + 1^{2} = 3^{2}\\) with equality iff \\(\\mathrm{x} = 0\\) , \\(\\mathrm{y} = 0\\) and \\(\\mathrm{z} = 0\\) or 2. \n\nSo let us take A as the starting point of the polygonal line. wlog the first segment is AD. Then the second segment must be DO (for a minimal line). Thus the best we can do with 2 segments is to move along an edge. It takes three such moves to get to the opposite corner, and hence at least 6 segments. But it is obvious that it can be done with 6 segments.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 19", "solution_match": "# Solution"}} {"year": "1988", "tier": "T1", "problem_label": "20", "problem_type": null, "exam": "AllSovietUnion", "problem": "Let m, n, k be positive integers with \\(\\mathrm{m} \\geq \\mathrm{n}\\) and \\(1 + 2 + \\ldots + \\mathrm{n} = \\mathrm{mk}\\) . Prove that the numbers 1, 2, ..., n can be divided into k groups in such a way that the sum of the numbers in each group equals m.", "solution": "Induction on n, then m. For \\(\\mathrm{n} = 1\\) , 2 there is nothing to prove. Assume the result is proved for \\(< \\mathrm{n}\\) and consider the case n. If n is odd, we have \\(\\mathrm{n} = \\mathrm{n} - 1 + 1 = \\mathrm{n} - 2 + 2 = \\ldots = (\\mathrm{n} + 1) / 2 + (\\mathrm{n} - 1) / 2\\) , so the result is true for \\(\\mathrm{m} = \\mathrm{n}\\) , \\(\\mathrm{k} = (\\mathrm{n} + 1) / 2\\) . If n is even, we have \\(\\mathrm{n} + 1 = \\mathrm{n} - 1 + 2 = \\ldots = (\\mathrm{n} / 2 + 1) + (\\mathrm{n} / 2 - 1)\\) , so the result is true for \\(\\mathrm{m} = \\mathrm{n} + 1\\) and \\(\\mathrm{k} = \\mathrm{n} / 2\\) . Now suppose it is true for \\(< \\mathrm{m}\\) . \n\nIf \\(2\\mathrm{n} > \\mathrm{m} > \\mathrm{n} + 1\\) , then for m odd we can take the sums \\(\\mathrm{m} = \\mathrm{n} + \\mathrm{m} - \\mathrm{n} = \\mathrm{n} - 1 + \\mathrm{m} - \\mathrm{n} + 1 = \\ldots = (\\mathrm{m} + 1) / 2 + (\\mathrm{m} - 1) / 2\\) . These use up the numbers \\(\\mathrm{m} - \\mathrm{n}\\) , \\(\\mathrm{m} - \\mathrm{n} + 1\\) , ..., n and give some sums of m. By induction the remaining numbers 1, 2, ..., \\(\\mathrm{m} - \\mathrm{n} - 1\\) will give the remaining sums of m (obviously \\(\\mathrm{m} > \\mathrm{m} - \\mathrm{n} - 1\\) ). If m is even, we can take the sums \\(\\mathrm{m} = \\mathrm{n} + \\mathrm{m} - \\mathrm{n} = \\mathrm{n} - 1 + \\mathrm{m} - \\mathrm{n} + 1 = \\ldots = (\\mathrm{m} / 2 + 1) + (\\mathrm{m} / 2 - 1)\\) . That gives some sums of m and leaves us with the integers 1, 2, ..., \\(\\mathrm{m} - \\mathrm{n} - 1\\) and \\(\\mathrm{m} / 2\\) . But since \\(\\mathrm{m} < 2(\\mathrm{n} + 1)\\) , \\(\\mathrm{m} / 2 > \\mathrm{m} - \\mathrm{n} - 1\\) and hence we can use the integers 1, 2, ..., \\(\\mathrm{m} - \\mathrm{n} - 1\\) to form sums of \\(\\mathrm{m} / 2\\) . With the integer \\(\\mathrm{m} / 2\\) that gives us sums of m (we know that the parity must come out right because we know that the sum of all the remaining numbers is divisible by m). \n\nFinally, consider \\(\\mathrm{m} \\geq 2\\mathrm{n}\\) . In that case we can form k sums of \\(2\\mathrm{n} - 2\\mathrm{k} + 1\\) : \\(\\mathrm{n} + (\\mathrm{n} - 2\\mathrm{k} + 1)\\) , \\((\\mathrm{n} - 1) + (\\mathrm{n} - 2\\mathrm{k} + 2)\\) , ..., \\((\\mathrm{n} - \\mathrm{k} + 1) + (\\mathrm{n} - \\mathrm{k})\\) . So we are home provided the remaining integers 1, 2, ..., \\(\\mathrm{n} - 2\\mathrm{k}\\) can be used to form k sums of \\(\\mathrm{m} - (2\\mathrm{n} - 2\\mathrm{k} + 1)\\) . That follows by induction provided that \\(\\mathrm{m} - (2\\mathrm{n} - 2\\mathrm{k} + 1) \\geq \\mathrm{n} - 2\\mathrm{k}\\) , or \\(\\mathrm{m} + 4\\mathrm{k} - 1 \\geq 3\\mathrm{n}\\) , or \\(\\mathrm{m} + 2\\mathrm{n}(\\mathrm{n} + 1) / \\mathrm{m} - 1 \\geq 3\\mathrm{n}\\) or \\((\\mathrm{m} - 2\\mathrm{n})(\\mathrm{m} - \\mathrm{n} - 1) \\geq 0\\) , which is true.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 20", "solution_match": "# Solution"}} {"year": "1988", "tier": "T1", "problem_label": "21", "problem_type": null, "exam": "AllSovietUnion", "problem": "A polygonal line with a finite number of segments has all its vertices on a parabola. Any two adjacent segments make equal angles with the tangent to the parabola at their point of intersection. One end of the polygonal line is also on the axis of the parabola. Show that the other vertices of the polygonal line are all on the same side of the axis.", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 21", "solution_match": ""}} {"year": "1988", "tier": "T1", "problem_label": "22", "problem_type": null, "exam": "AllSovietUnion", "problem": "What is the smallest n for which there is a solution to \\(\\sin x_{1} + \\sin x_{2} + \\ldots +\\sin x_{n} = 0\\) , \\(\\sin x_{1} + 2 \\sin x_{2} + \\ldots + n \\sin x_{n} = 100\\) ?", "solution": "Put \\(x_{1} = x_{2} = \\ldots = x_{10} = 3\\pi /2\\) , \\(x_{11} = x_{12} = \\ldots = x_{20} = \\pi /2\\) . Then \\(\\sin x_{1} + \\sin x_{2} + \\ldots +\\sin x_{20} = (- 1 - 1 - 1 - \\ldots - 1) + (1 + 1 + \\ldots + 1) = 0\\) , and \\(\\sin x_{1} + 2 \\sin x_{2} + \\ldots + 20 \\sin x_{20} = - (1 + 2 + \\ldots + 10) + (11 + 12 + \\ldots + 20) = 100\\) . So there is a solution with \\(\\mathrm{n} = 20\\) . If there is a solution with \\(\\mathrm{n} < 20\\) , then there must be a solution for \\(\\mathrm{n} = 19\\) (put any extra \\(x_{i} = 0\\) ). But then \\(100 = (\\sin x_{1} + 2 \\sin x_{2} + \\ldots + 19 \\sin x_{19}) - 10 (\\sin x_{1} + \\sin x_{2} + \\ldots + \\sin x_{19}) = - 9 \\sin x_{1} - 8 \\sin x_{2} - 7 \\sin x_{3} - \\ldots - \\sin x_{9} + \\sin x_{11} + 2 \\sin x_{12} + \\ldots + 9 \\sin x_{19}\\) . But \\(\\mathrm{l} \\mathrm{rhs} \\mathrm{l} \\leq (9 + 8 + \\ldots + 1) + (1 + 2 + \\ldots + 9) = 90\\) . Contradiction. So there is no solution for \\(\\mathrm{n} < 20\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 22", "solution_match": "# Solution"}} @@ -516,14 +516,14 @@ {"year": "1989", "tier": "T1", "problem_label": "23", "problem_type": null, "exam": "AllSovietUnion", "problem": "N is the set of positive integers. Does there exist a function f: \\(\\mathrm{N}\\to \\mathrm{N}\\) such that \\(\\mathrm{f(n + 1)} = \\mathrm{f}(\\mathrm{f(n)}\\) ) + f( \\(\\mathrm{f(n + 2)}\\) ) for all n.", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 23", "solution_match": ""}} {"year": "1989", "tier": "T1", "problem_label": "24", "problem_type": null, "exam": "AllSovietUnion", "problem": "A convex polygon is such that any segment dividing the polygon into two parts of equal area which has at least one end at a vertex has length \\(< 1\\) . Show that the area of the polygon is \\(< \\pi /4\\) .", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 24", "solution_match": ""}} {"year": "1990", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "AllSovietUnion", "problem": "Show that \\(\\mathrm{x}^4 > \\mathrm{x} - 1 / 2\\) for all real x.", "solution": "\\(\\mathrm{x}^4 - \\mathrm{x} + 1 / 2 = (\\mathrm{x}^2 - 1 / 2)^2 +(\\mathrm{x} - 1 / 2)^2\\geq 0\\) . We could only have equality if \\(\\mathrm{x}^2 = \\mathrm{x} = 1 / 2\\) , which is impossible, so the inequality is strict.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 1", "solution_match": "# Solution"}} -{"year": "1990", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "AllSovietUnion", "problem": "The line joining the midpoints of two opposite sides of a convex quadrilateral makes equal angles with the diagonals. Show that the diagonals are equal.", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet L, M, N be the midpoints of BC, CD, DA. Assume that NL makes equal angles with AC and BD, so \\(\\angle \\mathrm{NLM} = \\angle \\mathrm{BEL} = \\angle \\mathrm{AFN} = \\angle \\mathrm{LNM}\\) , so \\(\\mathrm{LM} = \\mathrm{MN}\\) and hence \\(\\mathrm{BD} = \\mathrm{AC}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 2", "solution_match": "# Solution"}} +{"year": "1990", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "AllSovietUnion", "problem": "The line joining the midpoints of two opposite sides of a convex quadrilateral makes equal angles with the diagonals. Show that the diagonals are equal.", "solution": "![md5:54360b517d323d1521aef21360afdede](54360b517d323d1521aef21360afdede.jpeg)\n \n\nLet L, M, N be the midpoints of BC, CD, DA. Assume that NL makes equal angles with AC and BD, so \\(\\angle \\mathrm{NLM} = \\angle \\mathrm{BEL} = \\angle \\mathrm{AFN} = \\angle \\mathrm{LNM}\\) , so \\(\\mathrm{LM} = \\mathrm{MN}\\) and hence \\(\\mathrm{BD} = \\mathrm{AC}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 2", "solution_match": "# Solution"}} {"year": "1990", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "AllSovietUnion", "problem": "A graph has 30 points and each point has 6 edges. Find the total number of triples such that each pair of points is joined or each pair of points is not joined. \n\n## Answer \n\n1990", "solution": "There are 30. 29. \\(28 / 6 = 4060\\) triples in all. Let m be the number of triples with 0 or 3 edges, and let n be the number of triples with 1 or 2 edges. So \\(\\mathrm{m} + \\mathrm{n} = 4060\\) . Each point is joined to 6 others, so it is in 6. \\(5 / 2 = 15\\) triples where it is joined to both the other points, and it is in 23. \\(22 / 2 = 253\\) triples where it is not joined to either of the other points. So the total number of triples (a,b,c), where a is joined to b and c or not joined to b or c is \\(30(15 + 253) = 8040\\) . This counts the m triples 3 times each, and the n triples once each, so \\(3\\mathrm{m} + \\mathrm{n} = 8040\\) . Hence \\(\\mathrm{m} = 1990\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 3", "solution_match": "# Solution"}} -{"year": "1990", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "AllSovietUnion", "problem": "Does there exist a rectangle which can be dissected into 15 congruent polygons which are not rectangles? Can a square be dissected into 15 congruent polygons which are not rectangles? \n\n## Answer \n\nyes, yes", "solution": "![](data:image/jpeg;base64,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)\n \n\nBy stretching vertically we get a square.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 4", "solution_match": "# Solution"}} -{"year": "1990", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "AllSovietUnion", "problem": "The point P lies inside the triangle ABC. A line is drawn through P parallel to each side of the triangle. The lines divide AB into three parts length c, c', c\" (in that order), and BC into three parts length a, a', a\" (in that order), and CA into three parts length b, b', b\" (in that order). Show that abc = a'b'c' = a\"b\"c\".", "solution": "![](data:image/jpeg;base64,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)\n \n\nThe three small triangles are similar, so a/a\" = c'/c = b\"/b' and a/a' = c'/c\" = b\"/b. Hence (a/a\")(b/b\") = (c'/c)(c\"/c') = c\"/c, so abc = a\"b\"c\". Similarly, (a/a')(c/c') = (b\"/b)(b\"/b\") = b/b, so abc = a'b'c'.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 5", "solution_match": "# Solution"}} +{"year": "1990", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "AllSovietUnion", "problem": "Does there exist a rectangle which can be dissected into 15 congruent polygons which are not rectangles? Can a square be dissected into 15 congruent polygons which are not rectangles? \n\n## Answer \n\nyes, yes", "solution": "![md5:fe9e789413e4c2d406e979a3b5cc493e](fe9e789413e4c2d406e979a3b5cc493e.jpeg)\n \n\nBy stretching vertically we get a square.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 4", "solution_match": "# Solution"}} +{"year": "1990", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "AllSovietUnion", "problem": "The point P lies inside the triangle ABC. A line is drawn through P parallel to each side of the triangle. The lines divide AB into three parts length c, c', c\" (in that order), and BC into three parts length a, a', a\" (in that order), and CA into three parts length b, b', b\" (in that order). Show that abc = a'b'c' = a\"b\"c\".", "solution": "![md5:fca7c846c76e89d2f888faaeee6233c1](fca7c846c76e89d2f888faaeee6233c1.jpeg)\n \n\nThe three small triangles are similar, so a/a\" = c'/c = b\"/b' and a/a' = c'/c\" = b\"/b. Hence (a/a\")(b/b\") = (c'/c)(c\"/c') = c\"/c, so abc = a\"b\"c\". Similarly, (a/a')(c/c') = (b\"/b)(b\"/b\") = b/b, so abc = a'b'c'.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 5", "solution_match": "# Solution"}} {"year": "1990", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find three non- zero reals such that all quadratics with those numbers as coefficients have two distinct rational roots. \n\nAnswer 1,2,- 3", "solution": "If a + b + c = 0, then 1 is a root of ax² + bx + c, and so the other root is - b/a - 1, which is rational.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 6", "solution_match": "# Solution"}} {"year": "1990", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "AllSovietUnion", "problem": "What is the largest possible value of \\(|\\ldots |\\mathrm{la}_1 - \\mathrm{a}_2| - \\mathrm{a}_3| - \\ldots - \\mathrm{a}_{1990}|\\) , where \\(a_1, a_2, \\ldots , a_{1990}\\) is a permutation of 1, 2, 3, ..., 1990? \n\nAnswer 1989", "solution": "Since \\(\\mathrm{la - bl} \\leq \\max (\\mathrm{a,b})\\) , a trivial induction shows that the expression does not exceed \\(\\max (\\mathrm{a}_1, \\mathrm{a}_2, \\ldots , \\mathrm{a}_{1990}) = 1990\\) . But for integers \\(\\mathrm{la - bl}\\) has the same parity as \\(\\mathrm{a + b}\\) , so a trivial induction shows that the expression has the same parity as \\(\\mathrm{a}_1 + \\mathrm{a}_2 + \\ldots + \\mathrm{a}_{1990} = 1990\\) . 1991/2, which is odd. So it cannot exceed 1989. That can be attained by the permutation 2, 4, 5, 3, 6, 8, 9, 7, ... , \\(4\\mathrm{k} + 2\\) , \\(4\\mathrm{k} + 4\\) , \\(4\\mathrm{k} + 5\\) , \\(4\\mathrm{k} + 3\\) , ..., \\(1984 + 2\\) , \\(1984 + 4\\) , \\(1984 + 5\\) , \\(1984 + 3\\) , 1990, 1. Because we get successively 2, 3, 0; 6, 2, 7, 0; 10, 2, 11, 0; ... ; \\(4\\mathrm{k} + 2\\) , 2, \\(4\\mathrm{k} + 3\\) , 0; ... ; 1986, 2, 1987, 0; 1990, 1989.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 7", "solution_match": "# Solution"}} -{"year": "1990", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "An equilateral triangle of side n is divided into \\(\\mathrm{n}^2\\) equilateral triangles of side 1. A path is drawn along the sides of the triangles which passes through each vertex just once. Prove that the path makes an acute angle at at least n vertices.", "solution": "![](data:image/jpeg;base64,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)\n \n\nThe diagram has \\(1 + 2 + \\ldots + \\mathrm{n} = \\mathrm{n}(\\mathrm{n} + 1) / 2\\) upright triangles and \\(1 + 2 + \\ldots + \\mathrm{n} - 1 = \\mathrm{n}(\\mathrm{n} - 1) / 2\\) upside down triangles. It has \\(1 + 2 + \\ldots + \\mathrm{n} + 1 = (\\mathrm{n} + 1)(\\mathrm{n} + 2) / 2\\) vertices. So the path must be \\((\\mathrm{n} + 1)(\\mathrm{n} + 2) / 2 - 1 = (\\mathrm{n}^2 +3\\mathrm{n}) / 2\\) units long. Each unit length of the path is in just one upright triangle. The path cannot contain all three sides of a small triangle, or it would pass through a vertex more than once. So it must contain two sides of \\((\\mathrm{n}^2 +3\\mathrm{n}) / 2 - \\mathrm{n}(\\mathrm{n} + 1) / 2 = \\mathrm{n}\\) triangles. But if it contains two sides of a triangle, then it must make an acute angle at the vertex where they meet.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} -{"year": "1990", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Can the squares of a 1990 x 1990 chessboard be colored black or white so that half the squares in each row and column are black and cells symmetric with respect to the center are of opposite color? \n\nAnswer no", "solution": "![](data:image/jpeg;base64,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)\n \n\nSuppose it can be done. Divide the board into 4 quadrants. Suppose there are b black and \\(995^{2}\\) - b white squares in the top left quadrant. Then there are \\(995^{2}\\) - b black and b white squares in the bottom right quadrant (by the symmetry property). \n\nIf half the squares in each row are black, then half the squares in the first 995 rows are black, so the number of black squares in the top right quadrant is 995. \\(1990 / 2 - \\mathrm{b} = 995^{2} - \\mathrm{b}\\) . So if half the squares in each column are black, then half the squares in the right- hand half of the board are black, so \\((995^{2} - \\mathrm{b}) + (995^{2} - \\mathrm{b}) = 995^{2}\\) , in other words, \\(\\mathrm{b} = 995^{2} / 2\\) , which is impossible.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": "\nSolution"}} +{"year": "1990", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "An equilateral triangle of side n is divided into \\(\\mathrm{n}^2\\) equilateral triangles of side 1. A path is drawn along the sides of the triangles which passes through each vertex just once. Prove that the path makes an acute angle at at least n vertices.", "solution": "![md5:58aed129ef4e27f6b77023add17b0c63](58aed129ef4e27f6b77023add17b0c63.jpeg)\n \n\nThe diagram has \\(1 + 2 + \\ldots + \\mathrm{n} = \\mathrm{n}(\\mathrm{n} + 1) / 2\\) upright triangles and \\(1 + 2 + \\ldots + \\mathrm{n} - 1 = \\mathrm{n}(\\mathrm{n} - 1) / 2\\) upside down triangles. It has \\(1 + 2 + \\ldots + \\mathrm{n} + 1 = (\\mathrm{n} + 1)(\\mathrm{n} + 2) / 2\\) vertices. So the path must be \\((\\mathrm{n} + 1)(\\mathrm{n} + 2) / 2 - 1 = (\\mathrm{n}^2 +3\\mathrm{n}) / 2\\) units long. Each unit length of the path is in just one upright triangle. The path cannot contain all three sides of a small triangle, or it would pass through a vertex more than once. So it must contain two sides of \\((\\mathrm{n}^2 +3\\mathrm{n}) / 2 - \\mathrm{n}(\\mathrm{n} + 1) / 2 = \\mathrm{n}\\) triangles. But if it contains two sides of a triangle, then it must make an acute angle at the vertex where they meet.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} +{"year": "1990", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Can the squares of a 1990 x 1990 chessboard be colored black or white so that half the squares in each row and column are black and cells symmetric with respect to the center are of opposite color? \n\nAnswer no", "solution": "![md5:ba89446342b07ea6059c12a58ecc2d7f](ba89446342b07ea6059c12a58ecc2d7f.jpeg)\n \n\nSuppose it can be done. Divide the board into 4 quadrants. Suppose there are b black and \\(995^{2}\\) - b white squares in the top left quadrant. Then there are \\(995^{2}\\) - b black and b white squares in the bottom right quadrant (by the symmetry property). \n\nIf half the squares in each row are black, then half the squares in the first 995 rows are black, so the number of black squares in the top right quadrant is 995. \\(1990 / 2 - \\mathrm{b} = 995^{2} - \\mathrm{b}\\) . So if half the squares in each column are black, then half the squares in the right- hand half of the board are black, so \\((995^{2} - \\mathrm{b}) + (995^{2} - \\mathrm{b}) = 995^{2}\\) , in other words, \\(\\mathrm{b} = 995^{2} / 2\\) , which is impossible.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": "\nSolution"}} {"year": "1990", "tier": "T1", "problem_label": "10", "problem_type": null, "exam": "AllSovietUnion", "problem": "Let \\(\\mathbf{x}_1\\) , \\(\\mathbf{x}_2\\) , ..., \\(\\mathbf{x}_n\\) be positive reals with sum 1. Show that \\(\\mathbf{x}_1^{2} / (\\mathbf{x}_1 + \\mathbf{x}_2) + \\mathbf{x}_2^{2} / (\\mathbf{x}_2 + \\mathbf{x}_3) + \\ldots + \\mathbf{x}_n\\) . \\(\\frac{1}{2} /(\\mathbf{x}_{\\mathrm{n - 1}} + \\mathbf{x}_{\\mathrm{n}}) + \\mathbf{x}_{\\mathrm{n}}^{2} / (\\mathbf{x}_{\\mathrm{n}} + \\mathbf{x}_{\\mathrm{1}}) \\geq 1 / 2\\) .", "solution": "\\[\\sum \\mathbf{x}_1^{2} / (\\mathbf{x}_1 + \\mathbf{x}_{i + 1}) - \\sum \\mathbf{x}_{i + 1}^{2} / (\\mathbf{x}_i + \\mathbf{x}_{i + 1}) = \\sum (\\mathbf{x}_i - \\mathbf{x}_{i + 1}) = 0.\\] \\[\\mathbf{x}_i^{2} + \\mathbf{x}_{i + 1}^{2} / (\\mathbf{x}_i + \\mathbf{x}_{i + 1}) \\geq \\frac{1}{4} \\sum (\\mathbf{x}_i + \\mathbf{x}_{i + 1}) = \\frac{1}{2}.\\]", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 10", "solution_match": "# Solution"}} {"year": "1990", "tier": "T1", "problem_label": "11", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABCD is a convex quadrilateral. X is a point on the side AB. AC and DE intersect at Y. Show that the circumcircles of ABC, CDY and BDX have a common point.", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 11", "solution_match": ""}} {"year": "1990", "tier": "T1", "problem_label": "12", "problem_type": null, "exam": "AllSovietUnion", "problem": "Two grasshoppers sit at opposite ends of the interval [0, 1]. A finite number of points (greater than zero) in the interval are marked. A move is for a grasshopper to select a marked point and jump over it to the equidistant point the other side. This point must lie in the interval for the move to be allowed, but it does not have to be marked. What is the smallest n such that if each grasshopper makes n moves or less, then they end up with no marked points between them?", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 12", "solution_match": ""}} @@ -541,16 +541,16 @@ {"year": "1990", "tier": "T1", "problem_label": "24", "problem_type": null, "exam": "AllSovietUnion", "problem": "Given 2n genuine coins and 2n fake coins. The fake coins look the same as genuine coins but weigh less (but all fake coins have the same weight). Show how to identify each coin as genuine or fake using a balance at most 3n times.", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 24", "solution_match": ""}} {"year": "1991", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find all integers a, b, c, d such that ab - 2cd = 3, ac + bd = 1. \n\n## Answer \n\n\\[(\\mathrm{a},\\mathrm{b},\\mathrm{c},\\mathrm{d}) = (1,3,1,0),(-1, - 3, - 1,0), (3,1,0,1),(-3, - 1,0, - 1)\\]", "solution": "\\(11 = (\\mathrm{ab} - 2\\mathrm{cd})^{2} + 2(\\mathrm{ac} + \\mathrm{bd})^{2} = (\\mathrm{a}^{2} + 2\\mathrm{d}^{2})(\\mathrm{b}^{2} + 2\\mathrm{c}^{2})\\) , so we must have either (1) \\(\\mathrm{a}^{2} + 2\\mathrm{d}^{2} = 1\\) , \\(\\mathrm{b}^{2} + 2\\mathrm{c}^{2} = 11\\) , or (2) \\(\\mathrm{a}^{2} + 2\\mathrm{d}^{2} = 11\\) , \\(\\mathrm{b}^{2} + 2\\mathrm{c}^{2} = 1\\) . \n\n(1) gives \\(\\mathrm{a} = \\pm 1\\) , \\(\\mathrm{d} = 0\\) , \\(\\mathrm{b} = \\pm 3\\) , \\(\\mathrm{c} = \\pm 1\\) . If \\(\\mathrm{a} = 1\\) and \\(\\mathrm{d} = 0\\) , then \\(\\mathrm{ac} + \\mathrm{bd} = 1\\) implies \\(\\mathrm{c} = 1\\) , and \\(\\mathrm{ab} - 2\\mathrm{cd} = 3\\) implies \\(\\mathrm{b} = 3\\) . Similarly, if \\(\\mathrm{a} = -1\\) , then \\(\\mathrm{c} = -1\\) , and \\(\\mathrm{b} = -3\\) . Similarly, (2) gives \\((\\mathrm{a},\\mathrm{b},\\mathrm{c},\\mathrm{d}) = (3,1,0,1),(-3, - 1,0, - 1)\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 1", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "AllSovietUnion", "problem": "n numbers are written on a blackboard. Someone then repeatedly erases two numbers and writes half their arithmetic mean instead, until only a single number remains. If all the original numbers were 1, show that the final number is not less than \\(1 / \\mathrm{n}\\) .", "solution": "Put \\(\\mathrm{c} = (\\mathrm{a} + \\mathrm{b}) / 4\\) . We have \\(1 / \\mathrm{c} = 4 / (\\mathrm{a} + \\mathrm{b}) \\leq 1 / \\mathrm{a} + 1 / \\mathrm{b}\\) , so each move does not increase the sum of the reciprocals of the numbers. If the final number is \\(\\mathrm{k}\\) , then the final sum of reciprocals is \\(1 / \\mathrm{k}\\) . The initial sum is \\(\\mathrm{n}\\) , so \\(1 / \\mathrm{k} \\leq \\mathrm{n}\\) , or \\(\\mathrm{k} \\geq 1 / \\mathrm{n}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 2", "solution_match": "# Solution"}} -{"year": "1991", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "AllSovietUnion", "problem": "Four lines in the plane intersect in six points. Each line is thus divided into two segments and two rays. Is it possible for the eight segments to have lengths 1, 2, 3, ..., 8? Can the lengths of the eight segments be eight distinct integers? \n\nAnswer no, yes", "solution": "![](data:image/jpeg;base64,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)\n \n\nIf a triangle has integer sides, one of which is 1, then it must be isosceles. So the only candidates for the segment length 1 are AB and AE. wlog \\(\\mathrm{AB} = 1\\) , so \\(\\mathrm{BF} = \\mathrm{AF}\\) . Hence \\(\\cos\\)\n\n\n\nDFE = 1 - 1/(2 AF²). Hence ED² = DF² + EF² + 2DF. EF(1 - 1/2AF²) = DF² + EF² + 2DF. EF - DF. EF/AF². But the first three terms are integers and the last term is < 1. Contradiction. (Careful, looking at the figure one is tempted to conclude that ED < AB, but a more realistic figure shows that is false.). \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACVAHgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACkoNAoAQ0g60p60hz2pBYXpRmsXxTrMmgeF9R1WONZZLSFpFjY4DEe9eVeCviR4hvPF1hYajPHd2+oOYwNgTyflLZGBz0xzUuaTsb08POpCU47R3PcaKZ+NPqjAKKKKACiiimAUUUUAFFFIelACEil6VUu9SsNPK/bb22ti+dvnSqmfpk80yPVtNntpbmLUbSSCL/WSpMpVPqQcCkBdYikzUFre2l/CZbO6guEBwXhkDgH0yKzfEWrHStMkMJDX0oKWsW3cWkPA4HO3OMnoO9NK+gMy/Ebf8JPJdeFbVcwyR7dQuP+eCsMhR/tkcjqODmsX4deHNL0rxF4oFrZojW16tvC5ySqeWhwM+5Jrr/D2kDTbMyzBm1C6CyXcrtuZnx0z6DJA9qxfBX/Ix+MuP+YoP/RSVppZju1ojswuBTqKKzEFFFFABRRRQIKKSigBTTTilpCAeDQM4nxl4Yh8Q6/pTrqlrbXsEUoiguLVJxKp27iFY9sDn3rO0e30pYdY07WIrSOHRLlGnmhjWCO5ymR5ka8EDdjBz0FdrrOhafr1sINQgMiBgQVcow+jKQazbjwR4futEXSJrEtZq2/Z5r5Y/7TZy3XuaAKPhnT1gv7zW0tV0vTZYQkNmq7BtBz5rLwFY9MegHNP0ON/EWrDxDcgrFavLDYIOjIeDJn+IMMY9MViweGNLk8RLYaGky2Nu+3VC9w7K+BlYxkkhgdpOMcV6LHGkcapGioqjAVRgAe1VsgH45zXHeC+fEnjL/sKD/wBFJXY1xvgvjxH4y/7Cg/8ARSU47MGdpmik3UFuagB1FIDmigBaKKKBBSUtFAxKMc0UhoADWD4m1ebTdNaHT9smqXHyWsJGdze/oOvJ4qn4k8f6F4Vuo7XUZpWndd2yGMyFR/tY6ZpPD0B1m9Him5kjLyRGG1SFwyxxE5IJHUkjPt0pqSvr0KcGldrQ1tD0iLSLIopZ55W824mkOXlcjlmPr2/CtQZNA6Y7U6k3ckaRXGeDSB4j8ZkkADUwST2/cpXaVwnhuJp9U8dwx/fkvyqg9MmBBVx2Yjcs/EUmoa0bWx06afT0LK+oB1EYcfwgHk9uRxzXOW/xLub65nisPDc1wI7mS3B+3QozsjFThWOeormfDOn6josGmaTpra3/AG9amOK4S63mxCAjzdpPy/dzt98Vp69a6a5v9Pt/CbWfiWcv9kvLe1LorsfkkMwGFJ6n0qBnqULM8Ss6bGKglD1U+lFQ2CTR2NvHcNumWNVc5z82BnnvzRQBbooooASlpuRS5pAGe1Nb9aX3rA8Q6tcRXNlpGn7Re35ZRK3KwqBkscc5xnHbNOKvoM828YeD7/xh4ru9T8OPFMgVYZ3uG2Rh14wjAHJHOemK7H4eQvoGjQeF9RxFqVsrSbf4ZVLE7kPcDIB966bR9Ig0XT1tLfJBYvI7fekc8s59yeaj1nRotXtwN7QXUR3QXMf34m9R/wDXpKMU211NZ4ipOCpyei2NRaXPNYej6xLLcSaZqaLDqUI5A+5Mv99Pb2PPB4rbHWh3RiKa4zwZ/wAjH4y/7Cg/9EpXZnrXG+C/+Rj8Zf8AYUH/AKJStI7MDs8e9JjmnUVADQMUUuKKAD6VHL5hicRMqyFSFLDIB7ZqSo5Vdo3WN9jlSFbGcH1oA80tNb8YS+NI9BHiLQLp4QJLxY7QqyJ6DL8scEcfd70axrfjCy8U22iW3iLQWurty0cD2jBoos9WO/kgEcdT2qw/hrXb7U4o7nTNOsvLnWV9ZtGC3E+xgTlABjfjBG7v3pdb8N69ql5cWr6dpsgnyq64CI7mBT0KqByUHAO4Zx2oA7TUtTi0XRpL++fKQIDIyL1JIHA+prO8OaVcQzXurahGov76QsATuaGLqsW7uAcn8azraL/hJdYgXc9xodlEBvbhbi4Bxn/bTGevG4e1dmPSqfuqwFe7lmitJZbeA3EyoSkQcLvPpk9K5Oy8ZavP4hTSbnwvJbnYZJ5lvY5FhUf3to69OOtdZetcx2Uz2kKTXKoTFG77VZuwJ7fWvNdB07yPFEdxolhrVpcXE27VW1IuYZI8fMELHBOcYPpUgXdX8QjV7ODUpNJmg0pJAbPWEuF3Rsx2hhHjcAT8pHoTXU6NrM0s7aXqiiLVIVyxAwkw/vp/PGSR3riNW8GWmua+9jp1tq9mkVwsk8kszpaqqkMPKjztbJGMcYzmu/1nRotWt1y5huYm3wXCfejb+o6ZHQ1SfRgahPbvXG+C/wDkZPGX/YUH/opK1NG1qaa4bTNVRYNTiBO0H5ZkH8aevbI7E4rL8Fn/AIqPxl/2FB/6KSmlZMTO0opM0m6oGOopAc0UAKaZ3p9MOc8UAI3TGOK5XxTdnU7lPCVuzxT6jA7PcqceTEMBiMfx/MMZ461sa5rNvoenNd3GTlljjUdXdjhV9snAzVHwvpFzp9pNc6kwl1G7kMkkh5ZVJJRCf9kHbx6Va0VwNqztY7O0htowNsShRgY6DrVigc06ouA3GTzSHr0p9FICPvRjtTmxiuU8S+LNQ8PySyJ4cuL2zjQMbiO4jQE/3QrHJP8AOgCbxqtpbeHLrVJzLHJYIZo54APMjI7jPB+h4rzf4d+PJT4vurS/tkzrlz5kbxEkq4QD5s9sJn6mvUrORfFHhoHVNKe2ivIyHtJ2DHaemceorznwf4Bsv7e8R+Vc3AuNOuxBZSlhmD5FbcOOvJX6Gj39lt1N6To+zlzr3uh6xfXqWGn3N5IpaO3iaVgvUhQScflXK6R49k1i4tVh8NaukNztKzuI9iqf4jhs4q7Z6s91b3mkaraq2pRQsHgX5UulIIyhPZuRjOR3rjrKLw+NW02LwlpUmn6vHdR/bFWF02QA/vULN8pHQcdccU2raGB6uuM8UUCikAuao6hq2n6XGj395Bao52q0zhQx9Bmrp614/wDFnw1rWp6zZ39lZT39oIfKMEI3lXyTuK9BxxmplJpXSNqFONSooylZPqdlpkZ8WX8uo3oDabbTslpb4yshU8TE9GB4K+mK63b9fzrzDwP4Q8WWPhuNJfEE2mb5GkS0+zJKY1OMAluQfboK6P8A4R3xR/0Ok/8A4ARVqldXvYzmlGTSdzrcECgVyf8Awjvij/odJ/8AwAipP+Ed8T/9DpP/AOC+KjlXcm511Fcl/wAI74n/AOh0n/8ABfFQPDnij/odJ/8AwAio5F3C51behrz/AMfJZXd1b2+tWesmxjKy28mlF2LSDk71UcbeME1qN4c8Tkf8jnOf+3CKj/hHfE56eM5vp9gioUF3Fc0fCp1T/hH4Dq+Bc5bbnr5Wfk3f7W3GffNc74Fv7O68TeMEt7qKVn1ESDY4OV8tBn6ZGKNd8J+Lb7Qr22g8XSySyxFVRrVIwx9Ny8r9RXm/hHwN4sbxNbSxQ3WiC3YtLdSR8OMEYAPD884P1qJScXyrW50U6UJwlKUrNbLue4axo8WrwJ87Q3UJ329whw0bfX0OBkdxxWfaeKYLLfZ+IpoLC+hwC0rhUmHZ1J4OepA6ZxVf/hHfE/X/AITOb/wAiry/x54L8UnxC1zMl3r8UsaiOWKEZjwOQVHC/h1xTqNxjpqLD041KijOXKu573E6yKro25SMgg5BFFYHgXS77R/CGn2OpMWuo0O87i2MkkDJ9AQKKSMmrOx0XakApcUUxAMUYpQKWgBvOaiuLqC2CmaaOIE8b3C5/OpiK4j4g+EW8VSaQkd1pscttJIyw38PmpNlQDhcjOOtAHYQ3dvcZ8ieKXHXy3DY/KnpKko3oysvTKnIrgvBuk2+mya34dNtaWl9EkZnvNLi8gOHBK7RyQVGec1e+F0fl+BbZNzNtnnG5jknErcn3oA7IHJooApaADHFMPA61JioLmN5LeWOJ/LdkKq/9044NAGJceK9Oi8U2Xh1WaW9uVdjs+7GFXPJ9/QVvEZryKHwp4v0bxP4ZifVbC5AmuJJLhbJ8klBvaQ7uWYDAPHNevgEUAAFFKKKAFoNFFABRRRQAhrM1vQrLXrMW94JV2nKSwyGORD32sORnviiigBmh+H7LQLZ4LTzXLHLzXEhklf0Bc8kDt6VNpWj2miactlZKywqzOAzEnLMWP6k0UUAX1NOoooAKQ0UUAMZiBT+1FFAC0UUUAf/2Q==)\n \n\nBuilding on the 3,4,5 triangle we get the figure above.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 3", "solution_match": "# Solution"}} +{"year": "1991", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "AllSovietUnion", "problem": "Four lines in the plane intersect in six points. Each line is thus divided into two segments and two rays. Is it possible for the eight segments to have lengths 1, 2, 3, ..., 8? Can the lengths of the eight segments be eight distinct integers? \n\nAnswer no, yes", "solution": "![md5:386ceaf84dd3e55dc0eef7999b32a956](386ceaf84dd3e55dc0eef7999b32a956.jpeg)\n \n\nIf a triangle has integer sides, one of which is 1, then it must be isosceles. So the only candidates for the segment length 1 are AB and AE. wlog \\(\\mathrm{AB} = 1\\) , so \\(\\mathrm{BF} = \\mathrm{AF}\\) . Hence \\(\\cos\\)\n\n\n\nDFE = 1 - 1/(2 AF²). Hence ED² = DF² + EF² + 2DF. EF(1 - 1/2AF²) = DF² + EF² + 2DF. EF - DF. EF/AF². But the first three terms are integers and the last term is < 1. Contradiction. (Careful, looking at the figure one is tempted to conclude that ED < AB, but a more realistic figure shows that is false.). \n\n![md5:de556ee4d753e91963e7e8be0bcc6baf](de556ee4d753e91963e7e8be0bcc6baf.jpeg)\n \n\nBuilding on the 3,4,5 triangle we get the figure above.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 3", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "AllSovietUnion", "problem": "A lottery ticket has 50 cells into which one must put a permutation of 1, 2, 3, ..., 50. Any ticket with at least one cell matching the winning permutation wins a prize. How many tickets are needed to be sure of winning a prize? \n\nAnswer 26", "solution": "Take the tickets: \n\n1 2 3 ... 25 26 27 ... 50 2 3 4 ... 26 1 27 ... 50 3 4 5 ... 1 2 27 ... 50 \n\n26 1 2 ... 24 25 27 ... 50 Each of the numbers 1, 2, ..., 26 occurs in each of the places 1, 2, ..., 26, but the winning ticket cannot have all these numbers in the last 24 places. So there must be at least one match. So 26 tickets suffice. \n\nNow given any 25 tickets we show that they could all fail to match the winning permutation. In other words, we construct a permutation which fails to match any of the 25 tickets in any cell. We place the numbers 1, 2, 3, ..., 50 in turn. We start by placing 1. Clearly at most 25 places are ruled out, so we can place the 1. Now suppose we have placed 1, 2, ..., a. There must be at least 25 places where a+1 is not ruled out. If any of them are still unoccupied, then we are done. If not, they must be occupied by numbers \\(\\mathbf{x}_1\\) , \\(\\mathbf{x}_2\\) , ..., \\(\\mathbf{x}_{25}\\) already placed. Take any empty place. 26 numbers cannot be ruled out for it, and we know that a+1 is ruled out, so at least one of the \\(\\mathbf{x}_i\\) is not ruled out. So we can move that \\(\\mathbf{x}_i\\) to it and then place a+1 where the \\(\\mathbf{x}_i\\) came from.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 4", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "AllSovietUnion", "problem": "Find unequal integers m, n such that mn + n and mn + m are both squares. Can you find such integers between 988 and 1991? \n\nAnswer no", "solution": "For example, \\(49 = 7^{2}\\) , \\(50 = 2\\) . \\(5^{2}\\) , \\(8 = 2\\) . \\(2^{2}\\) , \\(9 = 3^{2}\\) , so \\(49\\) . \\(8 + 8 = 20^{2}\\) , \\(49\\) . \\(8 + 49 = 21^{2}\\) . \n\n\\(\\mathrm{wlog m}< \\mathrm{n}\\) . Then \\(\\mathrm{mn} + \\mathrm{m} = (\\mathrm{m} + \\mathrm{h})^{2}\\) , \\(\\mathrm{mn} + \\mathrm{n} = (\\mathrm{m} + \\mathrm{k})^{2}\\) , with \\(\\mathrm{k} > \\mathrm{h}\\) . So \\(\\mathrm{n} - \\mathrm{m} = (\\mathrm{m} + \\mathrm{k})^{2} - (\\mathrm{m} + \\mathrm{h})^{2} = (\\mathrm{k} - \\mathrm{h})(2\\mathrm{m} + \\mathrm{k} + \\mathrm{h}) > 2\\mathrm{m}\\) , so \\(\\mathrm{n} > 3\\mathrm{m}\\) . Hence we cannot have \\(\\mathrm{m}\\) and \\(\\mathrm{n}\\) between 988 and 1991.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 5", "solution_match": "# Solution"}} -{"year": "1991", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABCD is a rectangle. Points K, L, M, N are chosen on AB, BC, CD, DA respectively so that KL is parallel to MN, and KM is perpendicular to LN. Show that the intersection of KM and LN lies on BD.", "solution": "![](data:image/jpeg;base64,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)\n \n\nLet LN and KM meet at O. \\(\\angle \\mathrm{NOM} = \\angle \\mathrm{NDM} = 90^{\\circ}\\) , so OMDN is cyclic. Hence \\(\\angle \\mathrm{NOD} = \\angle \\mathrm{NMD}\\) . Similarly, BLOK is cyclic and \\(\\angle \\mathrm{LOB} = \\angle \\mathrm{LKB}\\) . But NM is parallel to LK and AB is parallel to CD, so \\(\\angle \\mathrm{LKB} = \\angle \\mathrm{NMD}\\) . Hence \\(\\angle \\mathrm{NOD} = \\angle \\mathrm{LOB}\\) , so DOB is a straight line.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 6", "solution_match": "# Solution"}} +{"year": "1991", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABCD is a rectangle. Points K, L, M, N are chosen on AB, BC, CD, DA respectively so that KL is parallel to MN, and KM is perpendicular to LN. Show that the intersection of KM and LN lies on BD.", "solution": "![md5:289e0cda6fd1182ce46a641ac3fcffd1](289e0cda6fd1182ce46a641ac3fcffd1.jpeg)\n \n\nLet LN and KM meet at O. \\(\\angle \\mathrm{NOM} = \\angle \\mathrm{NDM} = 90^{\\circ}\\) , so OMDN is cyclic. Hence \\(\\angle \\mathrm{NOD} = \\angle \\mathrm{NMD}\\) . Similarly, BLOK is cyclic and \\(\\angle \\mathrm{LOB} = \\angle \\mathrm{LKB}\\) . But NM is parallel to LK and AB is parallel to CD, so \\(\\angle \\mathrm{LKB} = \\angle \\mathrm{NMD}\\) . Hence \\(\\angle \\mathrm{NOD} = \\angle \\mathrm{LOB}\\) , so DOB is a straight line.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 6", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "7", "problem_type": null, "exam": "AllSovietUnion", "problem": "An investigator works out that he needs to ask at most 91 questions on the basis that all the answers will be yes or no and all will be true. The questions may depend upon the earlier answers. Show that he can make do with 105 questions if at most one answer could be a lie.", "solution": "Suppose he asks n questions as usual, and then asks \"did you lie to any of the last n questions?\" If the reply is a truthful no, then the n answers were correct. If the reply is a lying no, then the n answers were still correct. On the other hand if the answer is yes, then the n answers might have been correct and might not. However, a lie has certainly been told, so all future answers must be truthful and so he could ask the n questions again. \n\n\\(91 = 7\\) . 13, so the obvious candidates for n are 7 and 13. If we take \\(\\mathrm{n} = 7\\) , then the worst case is 13 check questions and 7 repeat questions. That does not work because he needs 20 extra questions and only has 14. A little thought suggests reducing n each time. So the first batch of questions is 13, followed by a check question. If the check answer is yes, then he knows a lie has been told and asks the 13 questions again. No further check questions are needed, and he has used exactly 14 extra questions. If the check answer is no, then the lie may not have been told, so the next batch of questions is 12, followed by a check question, and so on. That allows him to ask \\(13 + 12 + \\ldots +1 = 91\\) questions. If he gets a yes to the check question after the batch of i, then he ignores the answers to that batch and asks them again, thus asking a total of 14 extra questions, but thereafter asks no check questions.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 7", "solution_match": "# Solution"}} -{"year": "1991", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "A minus sign is placed on one square of a \\(5 \\mathrm{x} 5\\) board and plus signs are placed on the remaining squares. A move is to select a \\(2 \\mathrm{x} 2\\) , \\(3 \\mathrm{x} 3\\) , \\(4 \\mathrm{x} 4\\) or \\(5 \\mathrm{x} 5\\) square and change all the signs in it. Which initial positions allow a series of moves to change all the signs to plus? \n\nAnswer only the central square", "solution": "![](data:image/jpeg;base64,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)\n \n\nWe take the 5x5 square, the two yellow 3x3 squares, which overlap at the center, and the two blue 2x2 squares. Then every square except the center square is changed an even number of times. So this works if the central square was selected. \n\n![](data:image/jpeg;base64,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)\n \n\nIt is easy to check that any 2x2, 3x3, 4x4 or 5x5 square has an even number of green squares, so if the selected square was green, and we change it an odd number of times, then some other green square must also be changed an odd number of times and hence end up with a minus. So if all the squares end up plus, then the selected square was not green, so it must belong to the central white column. Similarly, it must belong to the central row and hence must be the center square.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} +{"year": "1991", "tier": "T1", "problem_label": "8", "problem_type": null, "exam": "AllSovietUnion", "problem": "A minus sign is placed on one square of a \\(5 \\mathrm{x} 5\\) board and plus signs are placed on the remaining squares. A move is to select a \\(2 \\mathrm{x} 2\\) , \\(3 \\mathrm{x} 3\\) , \\(4 \\mathrm{x} 4\\) or \\(5 \\mathrm{x} 5\\) square and change all the signs in it. Which initial positions allow a series of moves to change all the signs to plus? \n\nAnswer only the central square", "solution": "![md5:02463e47ef2122f6f333c91ae48786ab](02463e47ef2122f6f333c91ae48786ab.jpeg)\n \n\nWe take the 5x5 square, the two yellow 3x3 squares, which overlap at the center, and the two blue 2x2 squares. Then every square except the center square is changed an even number of times. So this works if the central square was selected. \n\n![md5:35c41272386d9da0a2235f7d237dfecf](35c41272386d9da0a2235f7d237dfecf.jpeg)\n \n\nIt is easy to check that any 2x2, 3x3, 4x4 or 5x5 square has an even number of green squares, so if the selected square was green, and we change it an odd number of times, then some other green square must also be changed an odd number of times and hence end up with a minus. So if all the squares end up plus, then the selected square was not green, so it must belong to the central white column. Similarly, it must belong to the central row and hence must be the center square.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 8", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "9", "problem_type": null, "exam": "AllSovietUnion", "problem": "Show that \\((\\mathrm{x} + \\mathrm{y} + \\mathrm{z})^{2} / 3 \\geq \\mathrm{x}\\sqrt{(\\mathrm{y}\\mathrm{z})} + \\mathrm{y}\\sqrt{(\\mathrm{z}\\mathrm{x})} + \\mathrm{z}\\sqrt{(\\mathrm{x}\\mathrm{y})}\\) for all non- negative reals \\(\\mathrm{x}, \\mathrm{y}, \\mathrm{z}\\) .", "solution": "By AM/GM xy + yz \\(\\geq 2\\mathrm{x}\\sqrt{(\\mathrm{y}\\mathrm{z})}\\) . Adding the similar results gives \\(2(\\mathrm{xy} + \\mathrm{yz} + \\mathrm{zx})\\geq 2(\\mathrm{x}\\sqrt{(\\mathrm{y}\\mathrm{z})} +\\) \\(\\mathrm{y}\\sqrt{(\\mathrm{z}\\mathrm{x})} + \\mathrm{z}\\sqrt{(\\mathrm{x}\\mathrm{y})}\\) ). \n\nBy AM/GM \\(\\mathrm{x}^{2} + \\mathrm{x}^{2} + \\mathrm{y}^{2} + \\mathrm{z}^{2}\\geq 4\\mathrm{x}\\sqrt{(\\mathrm{y}\\mathrm{z})}\\) . Adding the similar results gives \\(\\mathrm{x}^{2} + \\mathrm{y}^{2} + \\mathrm{z}^{2}\\geq \\mathrm{x}\\sqrt{(\\mathrm{y}\\mathrm{z})}\\) \\(+\\mathrm{y}\\sqrt{(\\mathrm{z}\\mathrm{x})} +\\mathrm{z}\\sqrt{(\\mathrm{x}\\mathrm{y})}\\) . Adding the first result gives \\((\\mathrm{x} + \\mathrm{y} + \\mathrm{z})^{2} / 3\\geq \\mathrm{x}\\sqrt{(\\mathrm{y}\\mathrm{z})} +\\mathrm{y}\\sqrt{(\\mathrm{z}\\mathrm{x})} +\\mathrm{z}\\sqrt{(\\mathrm{x}\\mathrm{y})}\\)", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 9", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "10", "problem_type": null, "exam": "AllSovietUnion", "problem": "Does there exist a triangle in which two sides are integer multiples of the median to that side? Does there exist a triangle in which every side is an integer multiple of the median to that side? \n\nAnswer yes, no", "solution": "The obvious approach is to make the triangle isosceles. So suppose the sides are a, b, b. Then the length m of a median to one of the sides length b satisfies: \\(\\mathrm{a}^2 +\\mathrm{b}^2 = 2\\mathrm{m}^2 +\\mathrm{b}^2 /2\\) . The simplest possibility is to take \\(\\mathrm{m} = \\mathrm{b}\\) , so \\(\\mathrm{a}^2 = 3\\mathrm{b}^2 /2\\) . Thus if \\(\\mathrm{b} = 2\\) , \\(\\mathrm{a} = \\sqrt{6}\\) . \n\nSuppose we have a triangle ABC, with medians AD, BE, CF, and BC/AD, CA/BE, AB/CF all integers. If \\(\\mathrm{AD} = \\mathrm{BC} / 2\\) , then \\(\\angle A = 90^{\\circ}\\) . If \\(\\mathrm{AD}< \\mathrm{BC} / 2\\) , then \\(\\angle A\\) is obtuse, so at least two of the medians must be equal to the corresponding sides. So wlog we have \\(\\mathrm{b}^2 +\\mathrm{c}^2 = 5\\mathrm{a}^2 /2\\) , \\(\\mathrm{c}^2 +\\mathrm{a}^2 = 5\\mathrm{b}^2 /2\\) . Subtracting, \\(\\mathrm{b}^2 -\\mathrm{a}^2 = (5 / 2)(\\mathrm{a}^2 -\\mathrm{b}^2)\\) , so \\(\\mathrm{a} = \\mathrm{b}\\) . Hence \\(\\mathrm{c} / \\mathrm{a} = \\sqrt{(3 / 2)}\\) . So the third median has length m where \\(\\mathrm{a}^2 +\\mathrm{a}^2 = (3 / 4)\\mathrm{a}^2 +2\\mathrm{m}^2\\) , so \\(\\mathrm{a} / \\mathrm{m} = \\sqrt{(8 / 5)}\\) , which is not integral. Contradiction.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 10", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "11", "problem_type": null, "exam": "AllSovietUnion", "problem": "The numbers 1, 2, 3, ..., n are written on a blackboard (where \\(\\mathrm{n} \\geq 3\\) ). A move is to replace two numbers by their sum and non- negative difference. A series of moves makes all the numbers equal k. Find all possible k. \n\nAnswer all powers of \\(2 \\geq \\mathrm{n}\\)", "solution": "If a prime p divides \\(\\mathrm{a} + \\mathrm{b}\\) and a- b, then it divides 2a and 2b, so if p is odd, it divides a and b. Thus if an odd prime p divides k, then it must divide all the original numbers including 1. So k must be a power of 2. Note that \\(\\mathrm{k}, \\mathrm{k} \\rightarrow 0, 2\\mathrm{k} \\rightarrow 2\\mathrm{k}, 2\\mathrm{k}\\) and \\(\\mathrm{k}, \\mathrm{k}, \\mathrm{k} \\rightarrow 0, \\mathrm{k}, 2\\mathrm{k} \\rightarrow \\mathrm{k}, \\mathrm{k}, 2\\mathrm{k} \\rightarrow 0, 2\\mathrm{k}, 2\\mathrm{k} \\rightarrow 2\\mathrm{k}, 2\\mathrm{k}, 2\\mathrm{k}\\) . So (by a trivial induction) if we get all the numbers equal to k, then we can get them all to equal 2k. Finally, note that we can never decrease the largest number on the board, so the answer must be all powers of 2 greater than some minimum, which must be at least n. \n\nWe use induction to show that if \\(2^{\\mathrm{m}}\\) is the smallest power of 2 which is \\(\\geq \\mathrm{n}\\) , then we can get all numbers equal to \\(2^{\\mathrm{m}}\\) . Note that \\(0, \\mathrm{k} \\rightarrow \\mathrm{k}, \\mathrm{k} \\rightarrow 0, 2\\mathrm{k}\\) , so with a zero we can double each member of any set of numbers as often as we wish and finally convert the zero. For example, we could convert 0, 2, 4 to 8, 8, 8. It is convenient to take the induction hypothesis as \\(\\mathrm{S}_{\\mathrm{n}}\\) : we can convert 1, 2, ..., n to 0, \\(2^{\\mathrm{k}}, 2^{\\mathrm{k}}, \\ldots , 2^{\\mathrm{k}}\\) , where \\(2^{\\mathrm{k}}\\) is the smallest power of 2 which is \\(\\geq \\mathrm{n}\\) . \n\nWe show first that \\(\\mathrm{S}_{\\mathrm{n}}\\) is true for \\(\\mathrm{n} \\leq 8\\) . For \\(\\mathrm{n} = 3\\) , we take \\(1,3 \\rightarrow 2,4\\) , then \\(2,2 \\rightarrow 0,4\\) . For \\(\\mathrm{n} = 4\\) , we ignore the 4 and use the case \\(\\mathrm{n} = 3\\) . For \\(\\mathrm{n} = 5\\) , we take \\(3,5 \\rightarrow 2,8\\) . Then \\(2,2 \\rightarrow 0,4\\) . Then we use the 0 to convert the remaining powers of 2 (1,4,4) to 8. For \\(\\mathrm{n} = 6\\) , we take \\(2,6 \\rightarrow 4,8\\) and \\(3,5 \\rightarrow 2,8\\) , then \\(4,4 \\rightarrow 0,8\\) . Finally, we use the 0 to convert 1 and 2 to 8. For \\(\\mathrm{n} = 7\\) , we take \\(1,7 \\rightarrow 6,8\\) , then \\(2,6 \\rightarrow 4,8\\) , then \\(3,5 \\rightarrow 2,8\\) , then \\(4,4 \\rightarrow 0,8\\) , then \\(2,6 \\rightarrow 4,8\\) and finally use the 0 to convert the remaining 4 to 8. \n\nLet \\(\\mathrm{n} = 2^{\\mathrm{a}} + \\mathrm{b}\\) , where \\(0 < \\mathrm{b} \\leq 2^{\\mathrm{a}}\\) and assume \\(\\mathrm{S}_{\\mathrm{m}}\\) is true for all \\(\\mathrm{m} < \\mathrm{n}\\) . If \\(\\mathrm{b} = 1\\) , we convert the pair \\(2^{\\mathrm{a}} - 1\\) , \\(2^{\\mathrm{a}} + 1\\) to 2, \\(2^{\\mathrm{a} + 1}\\) . We have \\(2^{\\mathrm{a}} - 2 > 2\\) , so by induction we can convert 1, 2, ..., \\(2^{\\mathrm{a}} - 2\\) to 0, \\(2^{\\mathrm{a}}\\) , ..., \\(2^{\\mathrm{a}}\\) . Now all the numbers except 0 are powers of 2 and we can use the 0 to convert them each to \\(2^{\\mathrm{a} + 1}\\) . Similarly, if \\(\\mathrm{b} = 2\\) , we convert \\(2^{\\mathrm{a}} - 1\\) , \\(2^{\\mathrm{a}} + 1\\) to 2, \\(2^{\\mathrm{a} + 1}\\) and \\(2^{\\mathrm{a}} - 2\\) , \\(2^{\\mathrm{a}} + 2\\) to 4, \\(2^{\\mathrm{a} + 1}\\) and then proceed as in the previous case. If \\(3 \\leq \\mathrm{b} < 2^{\\mathrm{a}}\\) , then we start by converting the pairs \\((2^{\\mathrm{a}} + \\mathrm{b}, 2^{\\mathrm{a}} - \\mathrm{b})\\) , \\((2^{\\mathrm{a}} + \\mathrm{b} - 1, 2^{\\mathrm{a}} - \\mathrm{b} + 1)\\) , \\((2^{\\mathrm{a}} + \\mathrm{b} - 2, 2^{\\mathrm{a}} - \\mathrm{b} + 2)\\) , ..., \\((2^{\\mathrm{a}} + 1, 2^{\\mathrm{a}} - 1)\\) . That gives some \\(2^{\\mathrm{a} + 1}\\) s and 2, 4, ..., 2b. Now by \\(\\mathrm{S}_{\\mathrm{b}}\\) we can convert 2, 4, ..., 2b to 0, \\(2^{\\mathrm{a} + 1}\\) , ..., \\(2^{\\mathrm{a} + 1}\\) . The remaining\n\n\n\nnumbers 1, 2, ..., \\(2^{\\mathrm{a}}\\) - b- 1 can either be converted to powers of 2 by \\(S^{2\\mathrm{a - b - 1}}\\) (if \\(2^{\\mathrm{a}}\\) - b- 1 \\(\\geq 3\\) ) or are already powers of 2. Finally we use the 0 to bring all powers of 2 up to \\(2^{\\mathrm{a + 1}}\\) . In the case \\(\\mathrm{b} = 2^{\\mathrm{a}}\\) , we ignore \\(2^{\\mathrm{a}} + \\mathrm{b} (= 2^{\\mathrm{a + 1}})\\) and use the case b- 1 to convert the others.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 11", "solution_match": "# Solution"}} -{"year": "1991", "tier": "T1", "problem_label": "12", "problem_type": null, "exam": "AllSovietUnion", "problem": "The figure below is cut along the lines into polygons (which need not be convex). No polygon contains a 2 x 2 square. What is the smallest possible number of polygons? \n\n![](data:image/jpeg;base64,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)\n \n\nAnswer 12", "solution": "We can clearly cut the polygon into 12 strips width 1, so the smallest number is \\(\\leq 12\\) . \n\nThere are 84 unit squares in the figure. Each cut along the edge of a unit square not already cut (and not on the boundary) increases the number of pieces by at most 1. So it is sufficient to show that at most 72 edges remain uncut (after cutting into polygons). Because then cutting the remaining edges would increase the total number of pieces by at most 72. But the final number of pieces is 84, so we would have to start with at least 12. \n\nInitially, there are 144 edges, so we have to show that at least 72 of them are cut to make the polygons. An interior vertex has 4 edges. At least two of them must be cut, or the vertex would be the center of an uncut 2 x 2 square. If we take alternate interior vertices (36 in total, as shown below), then each has at least two cut edges, so in total at least 72 edges are cut to make the polygons.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 12", "solution_match": "# Solution"}} +{"year": "1991", "tier": "T1", "problem_label": "12", "problem_type": null, "exam": "AllSovietUnion", "problem": "The figure below is cut along the lines into polygons (which need not be convex). No polygon contains a 2 x 2 square. What is the smallest possible number of polygons? \n\n![md5:04fbaa7e3df54e301a41791ce24d25b9](04fbaa7e3df54e301a41791ce24d25b9.jpeg)\n \n\nAnswer 12", "solution": "We can clearly cut the polygon into 12 strips width 1, so the smallest number is \\(\\leq 12\\) . \n\nThere are 84 unit squares in the figure. Each cut along the edge of a unit square not already cut (and not on the boundary) increases the number of pieces by at most 1. So it is sufficient to show that at most 72 edges remain uncut (after cutting into polygons). Because then cutting the remaining edges would increase the total number of pieces by at most 72. But the final number of pieces is 84, so we would have to start with at least 12. \n\nInitially, there are 144 edges, so we have to show that at least 72 of them are cut to make the polygons. An interior vertex has 4 edges. At least two of them must be cut, or the vertex would be the center of an uncut 2 x 2 square. If we take alternate interior vertices (36 in total, as shown below), then each has at least two cut edges, so in total at least 72 edges are cut to make the polygons.", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 12", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "13", "problem_type": null, "exam": "AllSovietUnion", "problem": "ABC is an acute- angled triangle with circumcenter O. The circumcircle of ABO intersects AC and BC at M and N. Show that the circumradii of ABO and MNC are the same.", "solution": "It is sufficient to show that \\(\\angle \\mathrm{MBN} = \\angle \\mathrm{C}\\) . But \\(\\angle \\mathrm{MBN} = \\angle \\mathrm{MBO} + \\angle \\mathrm{OBN} = \\angle \\mathrm{MAO} + \\angle \\mathrm{OBN} = \\angle \\mathrm{MCO} + \\angle \\mathrm{OCN} = \\angle \\mathrm{C}\\) .", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 13", "solution_match": "# Solution"}} {"year": "1991", "tier": "T1", "problem_label": "14", "problem_type": null, "exam": "AllSovietUnion", "problem": "A polygon can be transformed into a new polygon by making a straight cut, which creates two new pieces each with a new edge. One piece is then turned over and the two new edges are reattached. Can repeated transformations of this type turn a square into a triangle?", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 14", "solution_match": ""}} {"year": "1991", "tier": "T1", "problem_label": "15", "problem_type": null, "exam": "AllSovietUnion", "problem": "An \\(h \\times k\\) minor of an n x n table is the hk cells which lie in h rows and k columns. The semiperimeter of the minor is \\(\\mathrm{h} + \\mathrm{k}\\) . A number of minors each with semiperimeter at least n together include all the cells on the main diagonal. Show that they include at least half the cells in the table.", "solution": "", "metadata": {"resource_path": "SovietUnion/segmented/en-ASU-1961-1991.jsonl", "problem_match": "# Problem 15", "solution_match": ""}} diff --git a/USAJMO/md/en-JMO-2025-notes.md b/USAJMO/md/en-JMO-2025-notes.md index 0c3b3a8912c420ff5bbed7622a1914fd4c277162..3aae49ccc835339b30761c9da8f94635e3569f6e 100644 --- a/USAJMO/md/en-JMO-2025-notes.md +++ b/USAJMO/md/en-JMO-2025-notes.md @@ -152,7 +152,7 @@ Case 4 If some two consecutive rows of the staircase differ by more than two cel Needless to say, each induction step preserves that the number of black squares equals the number of white squares. Hence the remaining cells can then be tiled by the induction hypothesis. See the image below for an illustration of all four cases. -![](data:image/jpeg;base64,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) +![md5:ed71e9f5b4fa649ef3bffbbe5c4f7bf8](ed71e9f5b4fa649ef3bffbbe5c4f7bf8.jpeg) I claim that at least one of these four cases must apply unless the staircase is empty. This could only occur if the heights of the staircase are \(1,2,\ldots ,k\) in that order. However, in that case the number of black cells and white cells are obviously not equal (unless \(k = 0\) ), so this can never occur. This completes the induction. \(\square\) @@ -235,7 +235,7 @@ Claim — \(AHQC\) is a parallelogram, and \(APCQ\) is an isosceles trapezoid. Proof. As \(\overline{AH} \perp \overline{BC} \perp \overline{CQ}\) and \(\overline{CF} \perp \overline{AB} \perp \overline{AQ}\) . -![](data:image/jpeg;base64,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) +![md5:964a0468758d30309ded6c6747836757](964a0468758d30309ded6c6747836757.jpeg) Let \(M\) be the midpoint of \(\overline{QC}\) . diff --git a/USAJMO/segmented/en-JMO-2025-notes.jsonl b/USAJMO/segmented/en-JMO-2025-notes.jsonl index ffa67bfdc2a8090bdb6c5a3ebc9fae2a1927e8d9..6a62de66118a872f41c7710a2b95e9ac0e00177c 100644 --- a/USAJMO/segmented/en-JMO-2025-notes.jsonl +++ b/USAJMO/segmented/en-JMO-2025-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2025", "tier": "T3", "problem_label": "1", "problem_type": null, "exam": "USAJMO", "problem": "Prove that if \\(f\\colon \\mathbb{Z}\\to \\mathbb{Z}\\) is any function, then there are infinitely many integers \\(c\\) such that the function \\(g(x) = f(x) + cx\\) is not a bijection.", "solution": "Assume for contradiction that there exists a finite \"bad\" set \\(S\\) such that \\(f(x) + cx\\) is bijective for all \\(c\\notin S\\) \n\nThe first observation is basically that given just \\(f(0)\\) and \\(f(1)\\) , or any two consecutive \\(f\\) - values, we can already find bad values of \\(c\\) . \n\nClaim — The numbers \\(f(0) - f(1)\\) , \\(f(1) - f(2)\\) , \\(f(2) - f(3)\\) , ... are all in \\(S\\) . That is, consecutive differences of \\(f\\) only take finitely many values. \n\nProof. To see that \\(f(0) - f(1)\\in S\\) , just note that \n\n\\[x\\mapsto f(x) + (f(0) - f(1))\\cdot x\\] \n\nis obviously not a bijective function, since it takes the same values at \\(x = 0\\) and \\(x = 1\\) , namely \\(f(0)\\) . The same is true for other elements. \\(\\square\\) \n\nIn particular, suppose \\(M > \\max_{s\\in S}|s|\\) . Then the function \n\n\\[g(x) = f(x) + (M + 100)x\\] \n\nis supposed to be a bijection (because \\(M + 100\\notin S\\) ), and yet \\(g(x + 1) - g(x) > 100\\) for all \\(x\\) , which is a contradiction.", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) JMO 2025/1, proposed by John Berman \n"}} {"year": "2025", "tier": "T3", "problem_label": "2", "problem_type": null, "exam": "USAJMO", "problem": "Fix positive integers \\(k\\) and \\(d\\) . Prove that for all sufficiently large odd positive integers \\(n\\) , the digits of the base- \\(2n\\) representation of \\(n^k\\) are all greater than \\(d\\) .", "solution": "The problem actually doesn't have much to do with digits: the idea is to pick any length \\(\\ell \\leq k\\) , and look at the rightmost \\(\\ell\\) digits of \\(n^k\\) ; that is, the remainder upon division by \\((2n)^\\ell\\) . We compute it exactly: \n\nClaim — Let \\(n \\geq 1\\) be an odd integer, and \\(k \\geq \\ell \\geq 1\\) integers. Then \n\n\\[n^k \\bmod (2n)^i = c(k, \\ell) \\cdot n^i\\] \n\nfor some odd integer \\(1 \\leq c(k, \\ell) \\leq 2^\\ell - 1\\) . \n\nProof. This follows directly by the Chinese remainder theorem, with \\(c(k, \\ell)\\) being the residue class of \\(n^{k-i} \\pmod {2^\\ell}\\) (which makes sense because \\(n\\) was odd). \\(\\square\\) \n\nWe can now stake the required threshold: \n\nClaim — The problem statement holds once \\(n \\geq (d + 1) \\cdot 2^{k- 1}\\) . \n\nProof. Suppose \\(n\\) is that large. Then \\(n^k\\) has \\(k\\) digits in base- \\(2n\\) . Moreover, for each \\(1 \\leq \\ell \\leq k\\) we have \n\n\\[c(k, \\ell) \\cdot n^\\ell \\geq (d + 1) \\cdot (2n)^{\\ell - 1}\\] \n\nbecause \\(n\\) is large enough; that implies the \\(\\ell^{\\mathrm{th}}\\) digit from the right is at least \\(d + 1\\) . Hence the problem is solved. \\(\\square\\) \n\nRemark. Note it doesn't really matter that \\(c(k, i)\\) is odd per se; we only need that \\(c(k, i) \\geq 1\\) .", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) JMO 2025/2, proposed by John Berman \n"}} -{"year": "2025", "tier": "T3", "problem_label": "3", "problem_type": null, "exam": "USAJMO", "problem": "Let \\(m\\) and \\(n\\) be positive integers, and let \\(\\mathcal{R}\\) be a \\(2m\\times 2n\\) grid of unit squares. A domino is a \\(1\\times 2\\) or \\(2\\times 1\\) rectangle. An up-right path is a path from the lower-left corner of \\(\\mathcal{R}\\) to the upper-right corner of \\(\\mathcal{R}\\) formed by exactly \\(2m + 2n\\) edges of the grid squares. \n\nIn terms of \\(m\\) and \\(n\\) , find the number of up-right paths that divide \\(\\mathcal{R}\\) into two subsets (possibly empty), each of which can be tiled with dominoes.", "solution": "Let. \n\nApply the usual black/white checkerboard coloring. We define a staircase to be the below above an up- right path (equivalently, a Young diagram rotated \\(180^{\\circ}\\) ). \n\nThe proof is composed of two steps. One is rewriting the \"domino- tileable\" condition to one that is actually usable; the other is the counting part. \n\n\\(\\P\\) Determining when a staircase can be domino- tileable. It turns out the obvious guess is right. \n\n## Lemma \n\nA staircase can be tiled with dominoes if and only if the number of black and white cells in it is equal. \n\nProof. It's obvious equal black and white cells is necessary; we prove it's sufficient. \n\nAssume the number of black and white cells is equal. The proof is by induction with empty staircases being vacuous. We consider the following four cases (which could overlap, pick one arbitrarily if so). Note that the latter two cases are just mirrors of the first two. \n\nCase 1 If the rightmost two columns of the staircase have the same height, tile those two columns. \n\nCase 2 If some two consecutive columns of the staircase differ by more than two cells in height, say the \\((i - 1)^{\\mathrm{st}}\\) and the \\(i^{\\mathrm{th}}\\) , then tile the top two cells in the \\(i^{\\mathrm{th}}\\) column and rightwards. \n\nCase 3 If the bottom two rows of the staircase have the same length, tile those two rows. \n\nCase 4 If some two consecutive rows of the staircase differ by more than two cells in length, say the \\((j - 1)^{\\mathrm{st}}\\) and the \\(j^{\\mathrm{th}}\\) , then tile the leftmost two cells in the \\(j^{\\mathrm{th}}\\) column and below. \n\nNeedless to say, each induction step preserves that the number of black squares equals the number of white squares. Hence the remaining cells can then be tiled by the induction hypothesis. See the image below for an illustration of all four cases.\n\n\n![](data:image/jpeg;base64,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)\n \n\nI claim that at least one of these four cases must apply unless the staircase is empty. This could only occur if the heights of the staircase are \\(1,2,\\ldots ,k\\) in that order. However, in that case the number of black cells and white cells are obviously not equal (unless \\(k = 0\\) ), so this can never occur. This completes the induction. \\(\\square\\) \n\nCounting. Back to the main problem. The point is that we need to find the number of up- right paths for which the two resulting regions have equal numbers of black and white squares; call such paths balanced. Since the overall \\(2m\\times 2n\\) grid has \\(2mn\\) black and \\(2mn\\) white squares, it's sufficient for just the bottom- right staircase to have equal black and white cells. \n\nThen in general, an up- right path is characterized by integer sequences \n\n\\[0\\leq h_{1}\\leq h_{2}\\leq \\dots \\leq h_{2n}\\leq 2m\\] \n\ncorresponding to the heights of the staircase. \n\nClaim — The \\((h_{i})\\) correspond to a balanced up- right path if and only if \\(\\{i:h_{i}\\equiv 1\\) (mod 2)} has an equal number of even and odd indices. \n\nProof. WLOG let's fix our coloring so that the bottom- left square is black. Then in the \\(i^{\\mathrm{th}}\\) column, for \\(i = 1,\\ldots ,2n\\) , has (i) one more black square than white if \\(h_{i}\\) is odd and \\(i\\equiv 1\\) (mod 2); (ii) one more white square than black if \\(h_{i}\\) is odd and \\(i\\equiv 0\\) (mod 2); (iii) equal black and white squares if \\(h_{i}\\) is even. The conclusion follows immediately. \\(\\square\\) \n\nThe trick is to instead define \n\n\\[t_{i}:= h_{i} + i.\\] \n\nThat is, we will instead describe the up- right paths by integer sequences \\(t_{i}\\) with \n\n\\[1\\leq t_{1}< t_{2}< \\dots < t_{2n}\\leq 2n + 2m.\\] \n\nClaim — The \\((t_{i})\\) correspond to a balanced up- right path if and only if the set \\(\\{t_{1},\\ldots ,t_{2n}\\}\\) has an equal number of even and odd elements.\n\n\n\nProof. Translating the four cases between the two notations gives the following table: \n\n
i eveni oddi eveni odd
hi≡1 (mod 2)abti≡1 (mod 2)a 2n-b
hi≡0 (mod 2)2n-a2n-bti≡0 (mod 2)2n-a b.
\n\nThen we have \n\nbalanced \\(\\iff a = b\\iff a + (2n - b) = (2n - a) + b\\iff \\# \\{\\mathrm{odd} t_i\\} = \\# \\{\\mathrm{even} t_i\\}\\) as desired. \n\nHence we must count the number of \\(2m\\) - element subsets of \\(\\{1,2,\\ldots ,2n + 2m\\}\\) with \\(m\\) even and \\(m\\) odd terms. Since the even and odd terms can be chosen separately, this gives an answer of \\(\\binom{n+m}{m}^2\\) .\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) JMO 2025/3, proposed by Wilbert Chu \n"}} +{"year": "2025", "tier": "T3", "problem_label": "3", "problem_type": null, "exam": "USAJMO", "problem": "Let \\(m\\) and \\(n\\) be positive integers, and let \\(\\mathcal{R}\\) be a \\(2m\\times 2n\\) grid of unit squares. A domino is a \\(1\\times 2\\) or \\(2\\times 1\\) rectangle. An up-right path is a path from the lower-left corner of \\(\\mathcal{R}\\) to the upper-right corner of \\(\\mathcal{R}\\) formed by exactly \\(2m + 2n\\) edges of the grid squares. \n\nIn terms of \\(m\\) and \\(n\\) , find the number of up-right paths that divide \\(\\mathcal{R}\\) into two subsets (possibly empty), each of which can be tiled with dominoes.", "solution": "Let. \n\nApply the usual black/white checkerboard coloring. We define a staircase to be the below above an up- right path (equivalently, a Young diagram rotated \\(180^{\\circ}\\) ). \n\nThe proof is composed of two steps. One is rewriting the \"domino- tileable\" condition to one that is actually usable; the other is the counting part. \n\n\\(\\P\\) Determining when a staircase can be domino- tileable. It turns out the obvious guess is right. \n\n## Lemma \n\nA staircase can be tiled with dominoes if and only if the number of black and white cells in it is equal. \n\nProof. It's obvious equal black and white cells is necessary; we prove it's sufficient. \n\nAssume the number of black and white cells is equal. The proof is by induction with empty staircases being vacuous. We consider the following four cases (which could overlap, pick one arbitrarily if so). Note that the latter two cases are just mirrors of the first two. \n\nCase 1 If the rightmost two columns of the staircase have the same height, tile those two columns. \n\nCase 2 If some two consecutive columns of the staircase differ by more than two cells in height, say the \\((i - 1)^{\\mathrm{st}}\\) and the \\(i^{\\mathrm{th}}\\) , then tile the top two cells in the \\(i^{\\mathrm{th}}\\) column and rightwards. \n\nCase 3 If the bottom two rows of the staircase have the same length, tile those two rows. \n\nCase 4 If some two consecutive rows of the staircase differ by more than two cells in length, say the \\((j - 1)^{\\mathrm{st}}\\) and the \\(j^{\\mathrm{th}}\\) , then tile the leftmost two cells in the \\(j^{\\mathrm{th}}\\) column and below. \n\nNeedless to say, each induction step preserves that the number of black squares equals the number of white squares. Hence the remaining cells can then be tiled by the induction hypothesis. See the image below for an illustration of all four cases.\n\n\n![md5:ed71e9f5b4fa649ef3bffbbe5c4f7bf8](ed71e9f5b4fa649ef3bffbbe5c4f7bf8.jpeg)\n \n\nI claim that at least one of these four cases must apply unless the staircase is empty. This could only occur if the heights of the staircase are \\(1,2,\\ldots ,k\\) in that order. However, in that case the number of black cells and white cells are obviously not equal (unless \\(k = 0\\) ), so this can never occur. This completes the induction. \\(\\square\\) \n\nCounting. Back to the main problem. The point is that we need to find the number of up- right paths for which the two resulting regions have equal numbers of black and white squares; call such paths balanced. Since the overall \\(2m\\times 2n\\) grid has \\(2mn\\) black and \\(2mn\\) white squares, it's sufficient for just the bottom- right staircase to have equal black and white cells. \n\nThen in general, an up- right path is characterized by integer sequences \n\n\\[0\\leq h_{1}\\leq h_{2}\\leq \\dots \\leq h_{2n}\\leq 2m\\] \n\ncorresponding to the heights of the staircase. \n\nClaim — The \\((h_{i})\\) correspond to a balanced up- right path if and only if \\(\\{i:h_{i}\\equiv 1\\) (mod 2)} has an equal number of even and odd indices. \n\nProof. WLOG let's fix our coloring so that the bottom- left square is black. Then in the \\(i^{\\mathrm{th}}\\) column, for \\(i = 1,\\ldots ,2n\\) , has (i) one more black square than white if \\(h_{i}\\) is odd and \\(i\\equiv 1\\) (mod 2); (ii) one more white square than black if \\(h_{i}\\) is odd and \\(i\\equiv 0\\) (mod 2); (iii) equal black and white squares if \\(h_{i}\\) is even. The conclusion follows immediately. \\(\\square\\) \n\nThe trick is to instead define \n\n\\[t_{i}:= h_{i} + i.\\] \n\nThat is, we will instead describe the up- right paths by integer sequences \\(t_{i}\\) with \n\n\\[1\\leq t_{1}< t_{2}< \\dots < t_{2n}\\leq 2n + 2m.\\] \n\nClaim — The \\((t_{i})\\) correspond to a balanced up- right path if and only if the set \\(\\{t_{1},\\ldots ,t_{2n}\\}\\) has an equal number of even and odd elements.\n\n\n\nProof. Translating the four cases between the two notations gives the following table: \n\n
i eveni oddi eveni odd
hi≡1 (mod 2)abti≡1 (mod 2)a 2n-b
hi≡0 (mod 2)2n-a2n-bti≡0 (mod 2)2n-a b.
\n\nThen we have \n\nbalanced \\(\\iff a = b\\iff a + (2n - b) = (2n - a) + b\\iff \\# \\{\\mathrm{odd} t_i\\} = \\# \\{\\mathrm{even} t_i\\}\\) as desired. \n\nHence we must count the number of \\(2m\\) - element subsets of \\(\\{1,2,\\ldots ,2n + 2m\\}\\) with \\(m\\) even and \\(m\\) odd terms. Since the even and odd terms can be chosen separately, this gives an answer of \\(\\binom{n+m}{m}^2\\) .\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) JMO 2025/3, proposed by Wilbert Chu \n"}} {"year": "2025", "tier": "T3", "problem_label": "4", "problem_type": null, "exam": "USAJMO", "problem": "Let \\(n\\) be a positive integer, and let \\(a_0 \\geq a_1 \\geq \\dots \\geq a_n \\geq 0\\) be integers. Prove that \n\n\\[\\sum_{i = 0}^{n}i\\binom{a_{i}}{2}\\leq \\frac{1}{2}\\binom{a_{0} + a_{1} + \\cdots + a_{n}}{2}.\\]", "solution": "Le] \n\nFor \\(n = 0\\) (which we permit) there is nothing to prove. Hence to prove by induction on \\(n\\) , it would be sufficient to verify \n\n\\[2n\\binom{a_{n}}{2}\\leq \\binom{a_{0} + a_{1} + \\cdots + a_{n}}{2} -\\binom{a_{0} + a_{1} + \\cdots + a_{n - 1}}{2}.\\] \n\nRearranging the terms around, that's equivalent to proving \n\n\\[\\iff 2n(a_{n}^{2} - a_{n})\\leq a_{n}^{2} + a_{n}\\cdot (2(a_{0} + \\cdot \\cdot \\cdot +a_{n - 1}) - 1)\\] \\[\\iff 0\\leq 2a_{n}(a_{0} + \\cdot \\cdot \\cdot +a_{n - 1} - na_{n}) + a_{n}(a_{n} + 2n - 1).\\] \n\nHowever, the last line is obvious because \\(\\min (a_{0},\\ldots ,a_{n - 1})\\geq a_{n}\\) , and \\(a_{n}\\geq 0\\) \n\nRemark. The only equality case is when \\(a_{0}\\in \\{0,1\\}\\) and \\(a_{i} = 0\\) for \\(i\\geq 1\\) \n\nThe bound in the problem is extremely loose and pretty much anything will work.", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) JMO 2025/4, proposed by Hung- Hsun Yu \n"}} -{"year": "2025", "tier": "T3", "problem_label": "5", "problem_type": null, "exam": "USAJMO", "problem": "Let \\(H\\) be the orthocenter of an acute triangle \\(ABC\\) , let \\(F\\) be the foot of the altitude from \\(C\\) to \\(AB\\) , and let \\(P\\) be the reflection of \\(H\\) across \\(BC\\) . Suppose that the circumcircle of triangle \\(AFP\\) intersects line \\(BC\\) at two distinct points \\(X\\) and \\(Y\\) . Prove that \\(CX = CY\\) .", "solution": "Let \\(Q\\) be the antipode of \\(B\\) . \n\nClaim — \\(AHQC\\) is a parallelogram, and \\(APCQ\\) is an isosceles trapezoid. \n\nProof. As \\(\\overline{AH} \\perp \\overline{BC} \\perp \\overline{CQ}\\) and \\(\\overline{CF} \\perp \\overline{AB} \\perp \\overline{AQ}\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(M\\) be the midpoint of \\(\\overline{QC}\\) . \n\nClaim — Point \\(M\\) is the circumcenter of \\(\\triangle AFP\\) . \n\nProof. It's clear that \\(MA = MP\\) from the isosceles trapezoid. As for \\(MA = MF\\) , let \\(N\\) denote the midpoint of \\(\\overline{AF}\\) ; then \\(\\overline{MN}\\) is a midline of the parallelogram, so \\(\\overline{MN} \\perp \\overline{AF}\\) . \\(\\square\\) \n\nSince \\(\\overline{CM} \\perp \\overline{BC}\\) and \\(M\\) is the center of \\((AFP)\\) , it follows \\(CX = CY\\) .", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) JMO 2025/5, proposed by Carl Schildkraut \n"}} +{"year": "2025", "tier": "T3", "problem_label": "5", "problem_type": null, "exam": "USAJMO", "problem": "Let \\(H\\) be the orthocenter of an acute triangle \\(ABC\\) , let \\(F\\) be the foot of the altitude from \\(C\\) to \\(AB\\) , and let \\(P\\) be the reflection of \\(H\\) across \\(BC\\) . Suppose that the circumcircle of triangle \\(AFP\\) intersects line \\(BC\\) at two distinct points \\(X\\) and \\(Y\\) . Prove that \\(CX = CY\\) .", "solution": "Let \\(Q\\) be the antipode of \\(B\\) . \n\nClaim — \\(AHQC\\) is a parallelogram, and \\(APCQ\\) is an isosceles trapezoid. \n\nProof. As \\(\\overline{AH} \\perp \\overline{BC} \\perp \\overline{CQ}\\) and \\(\\overline{CF} \\perp \\overline{AB} \\perp \\overline{AQ}\\) . \n\n![md5:964a0468758d30309ded6c6747836757](964a0468758d30309ded6c6747836757.jpeg)\n \n\nLet \\(M\\) be the midpoint of \\(\\overline{QC}\\) . \n\nClaim — Point \\(M\\) is the circumcenter of \\(\\triangle AFP\\) . \n\nProof. It's clear that \\(MA = MP\\) from the isosceles trapezoid. As for \\(MA = MF\\) , let \\(N\\) denote the midpoint of \\(\\overline{AF}\\) ; then \\(\\overline{MN}\\) is a midline of the parallelogram, so \\(\\overline{MN} \\perp \\overline{AF}\\) . \\(\\square\\) \n\nSince \\(\\overline{CM} \\perp \\overline{BC}\\) and \\(M\\) is the center of \\((AFP)\\) , it follows \\(CX = CY\\) .", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) JMO 2025/5, proposed by Carl Schildkraut \n"}} {"year": "2025", "tier": "T3", "problem_label": "6", "problem_type": null, "exam": "USAJMO", "problem": "Let \\(S\\) be a set of integers with the following properties: \n\n\\(\\{1,2,\\ldots ,2025\\} \\subseteq S.\\) If \\(a,b\\in S\\) and \\(\\gcd (a,b) = 1\\) , then \\(a b\\in S\\) If \\(s + 1\\) is composite for some \\(s\\in S\\) , then all positive divisors of \\(s + 1\\) are in \\(S\\) Prove that \\(S\\) contains all positive integers.", "solution": "Let \\rs. \n\nWe prove by induction on \\(N\\) that \\(S\\) contains \\(\\{1,\\ldots ,N\\}\\) with the base cases being \\(N = 1,\\ldots ,2025\\) already given. \n\nFor the inductive step, to show \\(N + 1\\in S\\) \n\nIf \\(N + 1\\) is composite we're already done from the third bullet. \n\nOtherwise, assume \\(N + 1 = p\\geq 2025\\) is an (odd) prime number. We say a number is good if the prime powers in its prime factorization are all less than \\(p\\) . Hence by the second bullet (repeatedly), good numbers are in \\(S\\) . Now our proof is split into three cases: \n\nCase 1. Suppose neither \\(p - 1\\) nor \\(p + 1\\) is a power of 2 (but both are still even). We claim that the number \n\n\\[s:= p^{2} - 1 = (p - 1)(p + 1)\\] \n\nis good. Indeed, one of the numbers has only a single factor of 2, and the other by hypothesis is not a power of 2 (but still even). So the largest power of 2 dividing \\(p^{2} - 1\\) is certainly less than \\(p\\) . And every other prime power divides at most one of \\(p - 1\\) and \\(p + 1\\) . \n\nHence \\(s:= p^{2} - 1\\) is good. As \\(s + 1 = p^{2}\\) , Case 1 is done. \n\nCase 2. Suppose \\(p + 1\\) is a power of 2; that is \\(p = 2^{q} - 1\\) . Since \\(p > 2025\\) , we assume \\(q\\geq 11\\) is odd. First we contend that the number \n\n\\[s^{\\prime}:= 2^{q + 1} - 1 = \\left(2^{(q + 1) / 2} - 1\\right)\\left(2^{(q + 1) / 2} + 1\\right)\\] \n\nis good. Indeed, this follows from the two factors being coprime and both less than \\(p\\) . Hence \\(s^{\\prime} + 1 = 2^{q + 1}\\) is in \\(S\\) . \n\nThus, we again have \n\n\\[s:= p^{2} - 1 = (p - 1)(p + 1)\\in S\\] \n\nas we did in the previous case, because the largest power of 2 dividing \\(p^{2} - 1\\) will be exactly \\(2^{q + 1}\\) which is known to be in \\(S\\) . And since \\(s + 1 = p^{2}\\) , Case 2 is done.\n\n\n\nCase 3. Finally suppose \\(p - 1\\) is a power of 2; that is \\(p = 2^{2^{e}} + 1\\) is a Fermat prime. Then in particular, \\(p \\equiv 2\\) (mod 3). Now observe that \n\n\\[s:= 2p - 1\\equiv 0\\pmod {3}\\] \n\nand moreover \\(2p - 1\\) is not a power of 3 (it would imply \\(2^{2^{e} + 1} + 1 = 3^{k}\\) , which is impossible for \\(k \\geq 3\\) by Zsigmondy/Mihailescu/etc.). So \\(s\\) is good, and since \\(s + 1 = 2p\\) , Case 3 is done. \n\nHaving finished all the cases, we conclude \\(p \\in S\\) and the induction is done. \n\nRemark. In fact just \\(2025 \\in S\\) is sufficient as a base case; however this requires a bit more work to check. Here is how: \n\n- From \\(2025 \\in S\\) we get \\(2026 = 2 \\cdot 1013\\) , so \\(2,1013 \\in S\\) . \n\n- From \\(1013 + 1 = 1014 = 2 \\cdot 3 \\cdot 13^{2}\\) we get \\(3,13 \\in S\\) . \n\n- From \\(3 + 1 = 4\\) we get \\(4 \\in S\\) . \n\n- \\(3 \\cdot 13 + 1 = 40 = 2^{3} \\cdot 5\\) we get \\(5 \\in S\\) . \n\n- Once \\(\\{1,2,\\ldots ,5\\} \\subseteq S\\) , the induction above actually works fine; that is, \\(N \\leq 5\\) are sufficient as base cases for the earlier cases to finish the rest of the problem. (Case 2 works once \\(q \\geq 3\\) , and Case 3 works once \\(e \\geq 2\\) .) \n\nHowever, \\(\\{1,2,3,4\\} \\subseteq S\\) is not sufficient; for example \\(S = \\{1,2,3,4,6,12\\}\\) satisfies all the problem conditions.", "metadata": {"resource_path": "USAJMO/segmented/en-JMO-2025-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) JMO 2025/6, proposed by Enrique Treviño \n"}} diff --git a/USAMO/md/en-USAMO-2025-notes.md b/USAMO/md/en-USAMO-2025-notes.md index 534dc78d6172641d7d2e086c22bd4ce073f5def6..41ffcf7a2f87581e2164a6317a9bc3c533c55ede 100644 --- a/USAMO/md/en-USAMO-2025-notes.md +++ b/USAMO/md/en-USAMO-2025-notes.md @@ -178,7 +178,7 @@ Proof that every Bob- graph is connected. Assume for contradiction the graph is Hence, \(r\) is in a different connected component from at least one of \(p\) or \(q\) — let's say point \(p\) . Then we repeat the same argument on the disk with diameter \(\overline{pr}\) to find a new point \(s\) , non- adjacent to either \(p\) or \(r\) . See the figure below, where the \(X\) 'ed out dashed edges indicate points which are not only non- adjacent but in different connected components. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFIAVwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKybnxDZxTNb2wkvrlThobUBtp9GbIVfxIqq02uXv3pbfTYj/AAxDzpf++mAUf98t9ahzXTU6I4WbV5e6vP8Ay3/A6AkAEk4ArLm8R6NBIY21GB5R1jibzHH/AAFcms7+wbKU7r3zr9vW8lMi/wDfB+UfgBWhFDFBGI4Y0jQdFRQAPwFLmkzRUqMd23+H+f5IjPiSBv8AUWGpT/S1aP8A9Gbab/bt433NAvh/10lgH8pDVmil73cr90tofe3+lir/AG3qHfQp8e1xHn+dKNfuV/1mg6iB6q8DD/0Zn9Ks0Ua9/wAgvT/kX4/5kA8TWS/6+C/t/eSzkIH/AAJQR+tW7PWtMv32WmoW0z90SUFh9R1FR1XurCzvk23drBOvpLGG/nTvIThQfRr53/Cy/M2qK5tdH+zHOn315ZnsiS+ZH/3w+QB9MVMuo6xZf8fNpDfxD/lpany5P++GOD+DD6Uc/dEPDJ/w5J+uj/y/E3qKoWGs2Oou0cE2J1GXgkUpIv1VsHHv0q/Vpp6o55wlB8slZhRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACikZlRSzEKoGSScACufl1O61kmPTHNvY9GvcfNJ/1yB7f7Z49AetTKSRrSoyqarRLd9P68i9qGtwWU32WNHur0jItocFgPVj0Ue5/DNZz2l7qfOq3G2I/8udqxVPozcM/6D2q1Z2NvYQ+Vbx7QTuZiSWdu5Ynkn3NWKizfxHVGUaf8Ja93v8ALt+fmRwwQ20KwwRJFEowqIoUD6AVJRRTM223dhRRRQAUUUUAFFUL/W9M0tlS9voIZG+7Gz/O30Ucn8BWe3iWSb/kH6Nf3A7STKLdP/HyH/8AHTW0cPUkrpad9l970FdG/RXOG78SXHT+y7EemJLk/nmMZ/OmGy1aX/X+Ibwf7NvDDGP1Rj+tafVv5pJfe/yTX4iudNRXLnRFf/Xanq0n/b/LH/6AVpP+EesD9579/wDf1G4b+b0/Y0usn93/AAQuzoLzT7S/RVuYVcqco3RkPqrDlT7g1Ak2q6V91m1O0H8DkCdB7NwH+hwfc1jf8I7YD7rXy/7uoTj+T0v9hRJ/qtR1aM/9hGZ//Q2NS8PS3Umn6f8ABNFVklyyV12f9afI6+w1K01OEyWsu7adrowKvG3oynkH61brz6TQrwXaXltr9/HdRjCu6RNx6N8gLD2JIqe21/xPb3n2O8OlSyMf3G9JIFmHs4LDd7bR7Z60Klry8y/FfmtP61M50E1zUvu6r/Nf1bqd1RXOL4mvIP8AkI6BeRjvJaMtyg/AYf8A8cq/YeJNH1Of7Pa6hEbnvbyZjlH1jbDD8qqWGqxV7XXdar70ct0alFFFYDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo554rWCSeeRY4o1LO7nAUDuTT3dY0Z3YKqjJYnAA9a5oO3iCdLqVSumRsGtoWGPOI6SsPT+6PxPOMTKVtFub0aPPeUtIrf/JeYP53iFhJdI8Wlg5jtmGGn9GkHZfRPxPoNQAAYHAooqErG8581ktEtl/XXzCiiimQFFFFABTJZY4ImlmkSONBlndgAo9STWHceIzcyPb6HAt7IpKvcs223jPcbv4yPRc+5FVl0YXMy3GrXDajOpyqyDEMZ/2I+g+py3vXVHD21qO3l1+7p8/xJv2LD+Jjd/Lolk98D/y8ufKtx9HIy3/AQR71A1jqN/zqeqy7D1t7HMCfiwJc/wDfQHtWnRWinGH8NW8939/+SQW7lSy0ux04EWdpDAW+8yIAzfU9T+NW6KKmUnJ3k7sYUUUVIBRRRQAUUUUAFRXNtDdwNBcRiSNuqn+fsfepaKGr7jTad1uU7S+m02ZLTUJDJbudsF23XPZJPf0bv0PPXTvdOstSh8q+tILmPss0YYD6ZqrNDHcQvDMivG42srDIIqtp93Jp1ymm3kjPDIcWlw5yT/0zY/3h2Pce45ITlTa1+Y6tNVk5RXvdV381+q+ZMmk3dhzo+rXNsB0t7km5h+mGO5R7KwFWE8S3dh8ut6a8cY63dlmaL6soG9PyIH96r1FdLqKf8RX89n9/+dzgt2L9ne2uoWqXNncRXEDjKyROGU/iKnrlbjQ4GumvbCaXTr5uWntiB5h/6aIflf8AEZ9CKki8SXWlkR+IYEji6DUbYEw/9tFOTF9Tlf8AaHSs5Ybm1pO/l1/4Py18h37nTUU2ORJY1kjdXRgCrKcgg9wadXIUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZWuX8trBHa2hAvrtjHDkZ2D+JyPRRz7nA70m7K5dOm6klFFLUZf7bv309D/xL7Zh9qYdJn6iL/dHBb14H96tDpUFnaRWNpHbQg7EGMsclj1JJ7knJJ9TU9ZpdXudk5LSEPhX9X9X/AMDoFFFFMzCiisnVtbFjKllaRfatSlXckAOAi/35D/Cv6noAauFOVSXLETdizqWq2mk24lupCC52xxou55W/uqo5JrClt77XTu1XNvYn7unxt94f9NmH3v8AdHy+u6prLTDDcNfXsxu9RcYadhgIP7ka/wAK+3U9yTWhXXHlpfBq+/8Al/nv6C33GxxpFGscaKiKMKqjAA9AKdRRWYwooooAKKKKACiiigAqK4kWK3kd5ViUKf3jHhfepay9VieS9012VmtYpi8oUE8hTsJA7A/ripk7IibtG6IvD0sN3avco1ws4PlXEMszsEkXrgMeM8H3GK2axLazJkvrp3kt/tl0siRg7WdVUKFOem7aTjg4NTaHKzLexSSMZI7lgYmOTCCAVXPcYOfxx2qKcmkosypSaSi1/X/B3NWiiitToCobq2ivLZ4JlyjDscEHsQexB5Bqaihq+jGm4u63I9IvpXaSwvGzeW4B34x5ydnH8iOx9iK1KwtQt5XEd1a4+2WxLxZOA4/iQ+zDj2OD2rQWaHV9I8yKV44Z4+WHDKOjD2I5HsaIP7LIxEE17WOz38n/AJPp810LtBGRg9K4rwdpUOqaFY6xO06vLeS31sqyFRHEzuY4wP7m1gdvQmu1rRM5THGm3ejyNPoDokZO6TTpSRBJ67P+eTe44Pde9bek65a6uJI0DwXcOPPtJhtkiz0yO4PZhkHsaZVDUdKiv2jmWR7a9gyYLqHh4z3HoVPdTkGtZONXSpv3/wA+/wCfrsG2x0tFYOla9K12ul6uiQagQfKdOIroDqUz0Pqh5HuOa3q5KlKVN2kNO4UUUVmMKKKKACiiigAooooAKKKKAAnAyelc3pznUrqbWH+5MPLtR6Qg8N/wM/N9NvpVrxJMz2cWmxMVlv38klTgrHjMjf8AfIIB9WFTIixoqIoVVAAA6AVnLWVux20lyUubrL8v+C/yfcdRRRQSFFFZGt6tJZCOzskWXUrkHyUb7qKOsj/7Iz+JwB1q6cJTlyxE3YZrGsSwzrpumqkupSLuJblLdP77/wBF6sfQAkQ6fp0WnxPh3lnlbfPcSHLyt6k/yA4A4FGnafHp8LKHaWaVvMnnk+/K56sf5AdAAAOBVyutuMY8kNur7/8AA7IXmwooorMYUUUUAFRz3ENtH5k80cSZxukYKM/jUlcj4ikuLjVxNp2pJp15pURP+mwh7e4EoBwBuDZGwfMP7xAzk0CbOsR0kRXRgyMMqynII9RTqztAjaPw/p4e1NpI0CPJAWLGN2GWUk5JIJPWtGgYUUUUAFRXNxHaWs1zKSIokMjkAkgAZPA61LTFljd2RZEZ1+8oOSPrQBkaPrWjeMNLjvtPnE8SSZHVXiceo6g4P4g+lGq6ro3g/S5tQv5hBE8m5mJLPK57AdScD8AOwFebeNbYfDLxDD4n8PyrFFePtu9MIYRy9yVIGB9Ox6ZGRSeDraX4oeI5vEviBd9hZPts7BSGiQ9fm5yT0JyOeOwAqdL+ZnpfbU9etLmK9s4LqEkxTxrIhIIO1hkcHp1qaqWoPqaCMabb2cmc72uJmTb6YCod3fuKZp6awJWbUbixeMr8sdvA6kH1Ls5yPbaKos0KKp39h9vREN5d26qST9nk2FvqcZ/IiqFpa6TpWpBIZrua+kGwiS6muGVSepDMwUcdeKTaW5UYyk7RVzSvdQstNhE19eW9rETgPPKqDP1JrzbVPi5pHhzxRLplvbDUtNuijzSxSDbGzZDbRghwRtJGRzn1r0q8s472IRyM6gHO6M7W/A9R+GDWLqng3RbxUuY9LtP7QtsPbTGMZDg7l3H+IZ9c9TUyve66FJJx5ea19NtLdzroIYra3jggjWKGNAkcaLhVUDAAHYAVJVewvEv7CC7jBCyoG2nqp7g+4PH4VYrdNNXRxSi4ycZboKKKKZJVv9PttTtDb3KFkyGVlJVkYdGUjlWB6EUzSNXubW8TR9ZkDTvn7JeYAW6AGcEdBIB1HQjkdwLtVr+wt9Ss3trlC0bYIIOGRhyGUjkMDyCOhrSMouPJPb8vNfquv3NHmjforn9C1W4Fy2jaq4a/iXfDPjAu4hxvA7MOAw9SCODx0FclWm6cuV/8ONO4UUUVmMKKKKACiiigAooqO4nS1tpbiU4jiQux9ABk0DSbdkYSt9t8R3lz1jtFFpF/vHDyEfmg/wCAGr9Z+iRSRaRA0wxPMDPKPR3Jdv1YitCso7XO+tZT5VstPu/z3CiigkAZPApmRS1XU4tJsGuZFaRshIok+9K54VF9yfy5J4FZGmWMsJlvL11k1G5Iad1+6oHSNf8AZXPHryepNQ2sh1zU/wC135s4cx2C9mHRpv8AgXRf9nn+I1rV3cvso8nV7/5f5+foTvqFFFFZjCiiigAooooAKQqpIJAJHQ46UtFAHlHhz4sarrfjG60f/hHzJGDIIo4WCyptP8Zdgv16YPrXpen3F7cRu17YizIPyJ5wkJHqcDA/M1LHZ2sNxLcRW0KTy/6yRYwGf6nqanpIST6mdf2uq3E6/YtTgtINuGBtfMct6hi4AHTjafrUmn2dzaLJ9q1O4vmcggypGoT/AHQij9c1dopgZ+oaHpuqyI9/arcFBtCyElcf7ucH8qIdP0/Q7KeTTdLghCoWMVpAqGTAJAAAGT6fWtCigDyzQfDGq+ONdXxP4ytngtIWP2DSZAQFGerqf68t34wC7xD4X1TwZrjeKvBlu0sMh/0/SowSJBnqij+nIPI4yK9Rqldapb20vkKHuLrGRBANz/j2Ue5IFS7JajhSlN2irsntJzdWcFw0MkJljVzFIMMmRnBHqOlV7rVba2m+zrvuLrGfIgG5/wAeyj3JAq1A8jwo0sflSEZZN27b7Zptva29pGY7eFIlJ3EIMZPqfU0O72NI8kW+fX+u/wDl94+SMTQtG24B1wdrFSM+hHI/CmWtnb2UXlW0KRJnJCjqfU+p96mop2V7kc0rct9AooopiKujt9m1C/sDwm4XMQ/2XzuH/fYY/wDAhW1WDcn7Pq+m3Y4BdraQ/wCy44/8fVB+Nb1Ons12JxSvJT7r8Vp+l/mFFFFaHKFFFFAFHVNOGo2yqsrQXMLCW2uFGWhkHRh6jqCO4JHer+g6udVtZEuI1h1C2byrqAHIV8ZBX1VhyD6H1BpKydUjmsLuPXbJGea3XZcwoMm4gzkrjuy8svvkfxGtElVj7N79PXt6P8Hr3FtqdZRUVtcQ3lrFc28iywSoHjdTkMpGQRUtcLTTsywooopAFFFFABWP4oO7QZbYdbqSO2x6h3Ct/wCOlq2KxNeO++0aDsbppGHqFif+pWoqfCzowv8AGi+2v3a/oWaKKKRYVz/iKdryWHQoGKtcqXumU8pbg4I9i5+Ue249q3Li4itbaW4ncRwxIXd26KoGSfyrnNGjlljm1S6QrdX7CVkbrHH/AMs4/wAF6/7Rb1rqw8bXqvpt6/8AA3+7uS+xooixoqIoVFGFUDAA9KdRRQMKKKKACiiigAooooAKKKKACiiigAooqtd3i2ir+6mmkc4SOJNxY/XoPqSBQ2krscYuTsizVO71KG1lEAWSa5YblghXcxHqeyj3JAp1o17IXe7SGJTjZEhLMv8AvN0P0A49TVqlq1oXaMJWlr6P+v66kFq9zJDuuoUicnhEfdge5wOfpUqxohYoiqWOWIGMn1NOoppEOV27aBRRRQIKKKKACiiigDP1tWOjXLoMyQr56Af3kIcfqoreR1kjV0OVYAg+oNZ7oskbIwyrAgj2o8PO0nh3Ty/LrbojfVRg/qKI6T9V+X/Djqq9BeT/ADX/AADSooorU4gooooAKKKKAM3Q5P7G1iTRmOLO633Fj6I2cyRfmd4HoWHRa6iuZ1mxlvbD/RmCXsDie1c9FlXkZ9jyp9mNbOk6lFq+lW1/EpRZkyUbrG3RlPuCCD7ijErnSq/J+vf5/mmC7F2iiiuQoKKKKACsLVPm8TaWnZba5f8AHdEP/ZjW7WFqH/I1WP8A14z4/wC+4qipt9x04T+J8pfky3RRRSKOe8SP9tuLLRV5W4bz7n/rjGQSD/vMVX3G6rtZemv9v1LUdVPKyy/Z4D/0yiJX9XMh+hFald01yJU+2/q9/wDL5EruFFFFZjCiiigAooooAKKKKACuF8Q+Obzwn4vgt9YsUXw7dKqw38YJaOTvv5xj2xnHPPIruqwPGk+hQeFL1vESo+nlMMh+87dgn+1np+dDEy5q/iDTND0R9XvbpFs1UMrqQ3mZHAX1J7VheD/FGs6/pF3q9/o5gtJJR/Z8UQJlkj9WycenPA69ua8S0aFoLzQrjxbDqQ8ImVzYiZt0a85G4Y+6e/AyMkcV9MwPE8EbwMjQsoKFCCpXHGMdsVKbYQld3f3GaL6aCdZdUu7SyiYYS33gk56FnOPyA/E1rVztxqZGrW11FH5mnXEgsZWboz5O1lHoG3KT3z7Vti8tjOIBPH5pJATcMkjqPwqISWquT7dVJPZf1+PqT0UUVqWFFFFABRRRQAUUUUAFFFFABUPhz/kDhf7lxcJ+Uzj+lTVD4d/5Bsv/AF+XP/o56S+Nej/Qqf8Au8vVflI1qKKK2OEKKKKACiiigArO0eT+zPEt5pp4t79Te2/oJBhZVH1yj/VnrRrI8Q7rayi1WJSZdMlF1hRyYwCJFH1jL/jitaS5m6b+1p8+n4/hcT7nW0U1HWRFdGDKwyCOhFOrzywooooAKwtU+XxNpb9mtrmP8zEf/ZTW7WJrw2Xmjz9luzGx9mjcf+hBaip8P3HThP4vyf5Ms1m6/fSadoN5cw488R7IQe8rHag/76IrSrA8Qt5+oaPp/Z52uZB/sRLkf+PtHW2HipVFfbf5LVjew+ws00/Trazj5SCNYwT1OBjNWKKK0bcndgFFFFIAooooAKKKQMrEgEEg4OD0oAWiqFxZ3d3OyyXZhtO0cHyu/wDvP1H/AAHB96twQR20KwwoEjUYAFJNt7FyjFJa3f8AX9fqUWtb+9Y/arj7Nb54itmO5h/tP1H0UD6mub1rwC3iTxhb6jrF+bjR7RF+z6dg439yx7g9fU8DoOe2opKKQTm5pJ7L+v6uUdU0ew1nSpdMvrZJbSVdpjIxj0I9COxHSsTwT4XvvCdjd6bPqjXtj5u6yVlw0KdwT/hx1PeupoqrGdupi2ukTR2mnWUpj8ixZW3KSTKVBC8Y45+Y+4qnJd6Tcaja6fBewqLa78wxrLukeXJ+UDOcAsST7YHGcdNRWTpK1kYuirJRCiiitTcKKKKACiiigAooooAKKKKACovDn/IGDf37i4f/AL6mc/1p8kixRPIxwqqWP0FHh+NovD2nK/3zbozf7xGT+ppL416P9Cp/wH6r8maVFFFbHCFFFFABRRRQAUjKroUYBlYYIPQilooAreD5WGhCwkYmXTpXsmz12of3ZPuYyh/Gt+uZ0lvsnjHULfOEvrWO6Uf7aHy3P/fJhrpqnFL965d9fv3/ABuhx2CiiiuYYVj+KFI0Ce4A5tWS6/CNw5/QEfjWxTJoUuIJIZBujkUow9QRg0pK6aNKM/Z1Iz7NFAEEZHIrm5T9o8Y3LdVtLKONfZpGZmH5JHWnocjtpEMUrbprfNvKT3eMlCfxxn8aydNPnanrdx/fvti/RI0TH5hvzrbC6xlLy/Nr9LnRVhyTcOzNOiiimSFFFV/ttt9sFoJlNwRkxryVHqcdPxobS3GouWyLFRrcQvO8CzI0yAFowwLKD0yO1RXlobxFj+0zQpn5xC20uPTd1H4YNOtbO3sofKtoUiTOSFHU+p9T70tb+RVoct29f6/r9SK7s5ruRV+2SQ22PmjhG1nPu/UD6YPvU1taW9lD5VtEkSZzhR1PqfU+9TUUcqvcHUk48l9AooopkBRRRQAUUUUAFFFFABRRRQAVHNPDbRmSeVI0H8TnAqSsPXbyVVYWCGS7sgLphnChcEFSfVl3AD8eOKmcuVXIqT5I3NiCeG5hWa3lSWJ+VeNgyn6EVJVS3v7N7S1lWSOJLlVeJGIUtu5AA9eat007ocXdBRRRTKCiiigDP1ssdHuIkOHnAt0I/vSEIP8A0Kt9FVEVFGFUYA9BWFcD7TrOnWo5VGa5k+iDA/8AHnU/8BreohrJv+v61DEO1OEfV/fp+n4hRRRWpxhRRRQAUUUUAFFFFAGXfN9m8R6Ddjo08lo5/wBmSMsP/H40rqq5LxH+70uO5HBtru2nz6BZkLf+O7h+NdbRiNacJeq+53/UFuFFFFchQUUVy0uoavL45j0eO5SK3azlupgEDNEokRItpI+82JCc5GBwOMkAsbfsXiW6gPEd6guY/wDfXCSD8vLP4msXw+d2nzy/89b26fPsZ3x+mKYmuve+DJfEV5KgOj39xtuDhRPDHK0ZPplkzwONwGB0FY/hLxVpN/4eg/s+dr2cM+6CBCXBLE8g42jnqcD3rSk1CnNPuv1/r7ju1rKLjq7Wfy/S1tfU7Cqk2pW0V0trvMlwxH7qNSzKD3bH3R7nFWCvmwlXDLvXBAbBGfcf0pltaW9nF5VtCkSZyQo6n1Pqfem79BR5Enzb/wBdf69RbiAXMDRM8iK3UxuVbH1HI/CktrS3s4vKtoUiTOSFHU+p9T71NRRZXuLnly8t9AooopkhRRRQAUUUUAFFFFABRRRQAUUUUAFFNdBIjI2cMMHBxXkkFzqXwj1lbS+ea98IXcn7mc/M9ox7H+o79RzkUN2E3Y9drIl025EmpiBowL8gmUnmP5Ah4xzgDI9zXn2ta/qPxJ1eTw14WmaHRoiP7R1NQcMP7q+oP/j3+7kn07TNPh0nS7XT7cuYbaJYkLtliFGBk+tS0pESipmbrJtrK20yDfHGsd1CqhmA+UHFbYIYAggg8gilooUbNscY2bYUUUVRYUUVT1O4kt7IiDm5mYQwD/bbgH6DqfYGk3ZXKhBzkorqP0VftF5f6geVZxbwn/Yjzk/i5f8AIVs1BZWkdhYwWkWdkKBAT1OO59zU9XCNo2Zz4ioqlRtbbL0WiCiiirMQooooAKKKKACiiigDI8VIZPCOsKv3/sUxX2YISP1ArqopBLEki/ddQw/GuT8V6jZaX4W1K51C4SCDyHTe/csCAPckmr2geJdKvfBEGt212k1lBa75ZEz8uxMuCDyCMHiis06KXVN/il/kC3Ohorhl1/W5bDw3eiVIrjXbyMCzMYZYLcq0rc9S4jTkk4yTx0rua5CgridHsrjV/FXiXUnk1PTxIYrO3JgMReBEzuUun/PR5MY5/MV21FAGDq3hDStV8GzeFjE1vprwrEqwnmMKQVIJzkggHnOe9eWfD/wNpGkWUtvdwC6nuf3ySyjG5FOwqB22sOf94V7jXA2NhJc+H/8ARsC9sb26EBPAJWeRSp9mAwfrntXRSvGnKpD4k1+Tua0XDn5Z7P8ADs/8/I1IIIraBIIUCRINqqOgFZ0vhvRp5nml0+FpHYszEdSepq9Z3cd7apPGCueGRuGRhwVPuDkVPThWnH3oSav5msoWfLJbEVtbQ2dulvbxrHEgwqL0FUZ/DukXU7zz2ELyucsxHJNadFONWcW5Rk02JpMhtbS3sbdbe2iWKJc4Regyc1TufD+k3lw9xcWEMkr/AHnYcntWlRRGrOMnJSabCy2ILOytrC3EFrCsUQJO1emTVW70HSr64a4urGKWVsZdhyccVo0UKrOMuZSdwstivZWFrp0Jhs4EhjLbiq9M+v6VXvND0zUJ/Pu7KKWXAG5hzitCihVZqXMpO/cLK1irZadZ6bE0dnbpCjHcQvc1Fe6LpuozCa8s4ppAu0Mw5x6frV+ihVZqXOpO/cLK1ipY6ZZaarrZWyQhyCwQdaZfaPp2pSLJeWkczqNqlh0FXqKPaz5ufmd+/ULK1inY6VY6Zv8AsVrHB5mN2wdcdP50l9pNhqTI17axzFAQpcdM1doo9rPm5+Z379QsrWKVlpOn6YzvZ2scBYYYr3FeV+Jb+b4qa6vhzQET+yrN83mqMuR16J+XHrjsBk+wMquhRlDKwwQRwRVLStH07Q7IWemWcVrbhi2yMYyT1J9TUynOT5m9ROPToeT2UE/wc8RkXUTXfhm/bYl6EzJbsezY69OncDI5BFesTWmm65aQSyxw3duwEkTZypBHBBHqKmvrC01Oylsr63juLaUbXjkGQwpbOzt9Ps4bO0iWG3hQJHGvRVHQURnKLunsCjbToV7LRNN06czWlnFDIV27lHOKmvdPtNRiWK8gSaNW3BW7H1/WrNFU6s3LncnfuOytYzrTQtLsLgT2tlFFKAQGUc81ZvLG11CDyLuFZos7trdM1YoodWblzOTv3Cy2M210DSrK4W4trGKKVM7XUcjIxSR2Fvr99NJdwrNY2pMUSN0eT+Nvw+6PfdUuoTzEx2No2Lu5yFb/AJ5IPvSH6Z49SQK2LS1isrSK2gXbFEoVR7e/qal1J1JqTk3br/X3lytSpX6y29Or+e33lG28N6NZ3CXFvp8McyHKuo5Bq9d2kF9bPbXUSywvjcjdDg5qaitpVZyalJttHDZGTB4Z0W2njnh06BJY2DIwHII71o3NtDd2729xGskTjDI3QipaKJVZyacm20FkZEXhfQ4Jkli02BZEYMrAdCOQa054IrmCSCZA8UilXU9CD2qSiiVWcneTbCyMdPCuhRurrpkAZTkHB4Na0saTRPFIoZHUqynoQeop1FEqs56ybYWRjDwnoIORpdv+RrYZFdCjAFSMEeopaKJ1Zz+JthZI4jxj8PvD+reF72H7KLV44zMk0P3lZQT36g9D9a2/A3gnTfD3gBdEUyXEF9EZLoyHBkMiAMOOgxgfhU/ieXyPCesS90sZmH12GumtovItYYf+eaKv5DFTiG5U1OTu22vut/mC3scTZ6fIvxC0yBjqU1jpOmyRQTT2zLH5zFVwGCBSRGh577+PSu7oorjKCiiigArlNHHlXmt2x/5Y6jIcf9dFWX/2pXV1y4X7P4z1SLotzbQXK+7DfG35BY/zrqw2sZryv+K/RsllTUojpV2+pxA/ZJcfbEH8B6CUfhw3tg9jm4CGAIIIPIIrRIBBBGQeornXjOgSiNsnSpGxG5/5dmP8J/2D2Pbp0xWUlyO/Q76cvbR5ftL8V/mvxXmtdKiiimQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFQXd3HZWzTS5IGAFUZZ2PAUDuSeKfcXEVrA887hIkGWY9qh06ylu7ldTvoym3/j1t26xA/wAbf7ZH5Djualt3stzSMYpc89l+Pkv17fcnPpNhJAJLy7wb24wXAORGo+7GPYZOT3JJrToorWMVFWRx1KjqScpBRRRVGYUUUUAFFFFABRRRQAUUUUAZHicCTQpLc8/aZobbHr5kqJ/7NXW1ymqD7Rq+hWY5El75z+yxxu+f++gn511dGI0pwj6v9P0BbhRRRXIUFFFFABXN6+v2bxFol90WTzrJz/vqJFJ/GLH/AAKukrF8WW0k/hu6kgUtcWu27hUdWeJg4UfXbt/GujCu1VJ9dPv0FLYkpskaSxtHIiujgqysMgg9iKbBPHc28U8TBopUDow7gjINSVbVtGCfVHOyRy6AcHfLpfZzlmtvZu5T36jvxyNFWV1DKwZSMgg5BFaNYc2lz6czTaUoeAnL2ROB7mM/wn/ZPB9utYuLhtsdsasa2k3aXfo/Xs/PZ9bbu5RVa0voL1W8piHQ4kicbXjPoynkVZppp6oUouLtJWYUUUUCCiiigAooooAKKKKACiiigAooooAKKKKACobq7hsoDNO+1cgAAZLE9AAOST6CoLjUAs5tLSI3V5jPlIcBB6u3RR+p7A1ZsdJ8qcXl9ILi9wdpAwkIPZB29yeT9OKm7btE05YwXNU+S6v/ACXn91yGy0+a9njvtSTYEO63tCciM9mfsX/Rfc81tUUVrGKijkq1ZVHd7dF2CiiiqMgooooAKKKKACiiigAooooAKKKKAM6xH2vxvI/VNPsNvtvmfP5gQj/vr3rp657wivnWV5qh66hdvKh/6ZLiOP8AAqgb/gVdDU4t/vOT+XT/AD/G447BRRRXMMKKKKACiiigDkdAX7El3ozcHTZzFGP+mLfNFj2CsF+qGtis/XU/s7xBY6qOIboCwufQEkmFj/wIsn1kFaFehVfPap/N+fX8dfRohdgooorIZRv9Jtr9llbfFcoMJcRHa6+2e49jke1Zzyahp3F7AbqAf8vNshJA/wBuPr+K5+grforOUE3daM6KeIlFcsldfl6Pp+XkZNtdQXkIltpkljPG5Gzz6fWpqLvRbK7mM+xoLk/8t4GKOfqR976HIqm1prFp/q5IL+MdpP3Mn5gFWP4LU+8t19xuvZT+CVvJ/wCe332LlFZ51ZIOL21urMjqZYiU/wC+1yv61Ztr21vF3W1zDOvrG4b+VJSi9LjlRnFXa079Pv2J6KKKozCiiigAooqpcapYWjbJ7yBH7IXG4/QdTSbS3KjCU3aKuW6KoLf3FwcWOm3Uv/TSZfIT/wAe+b8lNSrpeo3XN7fCBO8NmMH6GRuT+AWlzX+FXKdPl/iNL8/uWv32C61G2s2VJZMzP9yGMF5H+ijk0xLTUtS5mLadan+BSDO49yMhPwyfcVp2Wm2enqwtbdYy3336s/8AvMeT+Jq1VKDfxGbxEYfwlr3f6LZfj8ivZ2VtYQCG1hWOPOSB1J9SepPueasUUVoklojllJyd5O7CiiimSFFFFABRRRQAUUUUAFFFFABRRRQAVl+IbiaHSJIrVtt3dstrbn0kkO0N/wAByWPsprUrMtE/tTxfu622kR59jcSL/NYyf+/orWjZS53tHX/L73ZCZ0dnaw2NlBZ267YYI1ijX0VRgD8hU1FFcDbbuywooopAFFFFABRRRQBT1XTodW0q5sJyRHPGU3L1Q9mHuDgj3FYmi3st5YbboBb62c290o6CRepHsRhh7MK6euX1uL+x9bi1leLS72216OyNnEUv5nYT7r2WuvDPnTpP1Xr2+a/FIl9zSooooAKKKKACiiigAqnc6Rp142+5sLaV/wC88QLD8etXKKTSejKhOUHeLszJPh2wH+qa7h9oruUD8t2P0pP7BI+5quop/wADRv8A0JTWvRUeyh2NvrdbrK/rr+Zkf2FL/wBBrUf/ACD/APG6BoCn/WalqL/9tgv/AKCBWvRR7OI/rdXo/wAF/kZQ8OaYf9bDLP8A9fE8ko/JmIq9bWNpZLttbWGBfSKMKP0qeimoRWyM516s1acm/mFFFFWZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAVNTv00zTprx1Z/LX5Y16yOThVHuSQB7mrvh7TH0rSI4rhle7lYz3Tr0aVzlsewPA9gKyLaP8AtzxKOM2GkvuJ7S3RHA9winP+8w7rXV0675IKn1er/Rfr8/IFrqFFFFcZQUUUUAFFFFABRRRQAVDdWsF7aTWtzGssEyGORG6MpGCKmopptO6A5PSpZ7O4m0S+kaS5tVDRTOebiA8K/uw+63uM9GFa1Jr+kSajBFcWbLHqVoxktZG6E/xI3+ww4PpweoFVNM1GPU7MTqjxSKxjmhf78Ug+8je4/Xgjg13SaqR9qvn6/wCT/wCB2J20LlFFFZgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWbq97NBHFaWIVtRvG8u2VhkKf4pG/2VHJ9eB1Iq1e3sGn2Ut3cvshiXLHGT7ADuSeAO5NJ4e0ycSS6zqUey/ulCrEefs0PVY/r3Y9zx0UVpG0I+0lstvN/5d/u6oPI09K02DSNNhsbfcUjBy7nLSMTlmY9ySST7mrlFFcUpOTcpbsoKKKKkAooooAKKKKACiiigAooooAK5zXNNns7w65pkLSzbQt5ap1uYx0ZR/wA9FHT1Hy+mOjorSlVdOV18/NCauYdpd29/aRXVrKssEq7kde4/z2qas7U9NuNHu5dV0uFpraVi97YxjJJ7yxD+/wCq/wAXUfN963aXdvfWkd1ayrLBKu5HU5BFdUoq3PD4X+Hk/wCtRE1FFFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTZJEhieSR1SNAWZmOAoHUk0SSJDG0kjqkaAszMcBQOpJrJtLSTxVKlzcIyaEjbooXGDekdHYdoh1A/i6njANwgmnKWkV/Vl5/1sBJpNq/iC9h1e6Rk06Ft9hA4wZG/wCe7D/0AHp97qRjqqKK5q1V1JdktkNKwUUUVkMKKKKACiiigAooooAKKKKACiiigAooooAK5vUdFudPupdT0RAzSHfdWG4Ks57uhPCyfo3fB+YdJRWtKrKm7r5roxNXOe0/UrbU7czWzn5WKSRupV42HVWU8qR6GrdR6t4fW8uPt9hP9i1RVwJ1XKygdFlX+NfyI7EVn2urOt2unarB9h1A/cUtmOfHeJ/4vocMO4711csai5qXzXVf5rz++wttzUooorMAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC8vLbT7V7m7mWKFOrN+gHqT2A5NVb7V0trhbK2he91FxuS1hI3Af3nPRF9z+GTxVjTPD8n2qPUtalS6v05ijQHybb/cB6t/tnn02jitORQXPU0Xbq/+B5/nsHoVLXSrnxBIlzq8DQaapDQ6e/3pcdHmHp3Ef/fWTwOqoorlq1nUfZLZDSsFFFFZDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKrX+n2mqWj2t9bxzwN1RxnnsR6EdiORVminGTi7p6gcrLp+saJ81m0mrWA/5YSOBcxD/AGXPEg9mw3+0elT6fq1nqYcW0uZYziWF1KSRH0ZDgr+Iro6zdU0LT9X2PdQYnj/1VxExjlj/AN11wQPboe4rrjiIz/irXuv1XX8PmTbsR0VmyWPiDS+YHj1i2H8EhWG5A+v3HP12fU0yHxDYPcLbXLSWN23At71DE7H/AGc8P/wEkVp7JtXh7y8v8t19wr9zVooorIYUUUUAFFFFABRRRQAUUUUAFFFFABRWbd69p1pcfZTOZ7v/AJ9bZDLL/wB8Lkge5wKRIfEOqfcij0e2P8c2Jrgj2QHYv1Jb/drT2UkuaWi8/wCrv5XFcs32o2emQCa8uEhQnau48sewUdWPsOaqRQ6zrn3Ek0iwP/LSRQbmQf7KnIjHu2W/2R1rV03w5p+mTm6VZLm+Iw13dN5kpHoCfuj2UAe1a1RKvCH8NXfd/ov8/uQ7N7lLTNJstHtzDZQhAx3SOSWeRv7zseWPuTV2iiuWUpSfNJ3ZQUUUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFQ3VpbXtu1vd28U8LfejlQMp+oPFFFNNp3QGI3hG1g50q8vdMPZIJN8X/ftwygf7oFQmy8TWn3W0zUkHc77V/8A2cE/980UV0LFVPt+96/57/iLlRG2rXlvkXuganCB/HEi3Cn6eWzN+aimHxVosePtF6LT/r8je3x9fMAxRRXrYPCU8TDnlp6f8G5nKTiWYdb0m5AMGqWUoPTZcI38jVtbiBhlZoz9GFFFc9fDxpyshp3Bp4V+9Kg+rCq02saZbgmfUbOIDrvnVf5miipoUI1HZg3YqDxVoTkiDUobojtaZnP5IDThrM8//HloerXGeha3FuP/ACMUP6UUV14rB0sPTc1r6/8AAsKMm3YlFv4nuz8sOm6ch/ild7l/++V2Af8AfRqVPCi3AB1XVL6/9YhJ5EX/AHzHgkezFqKK8h4qf2LR9P8APf8AE05UbNjp1lpluILC0gtYeuyGMIM+uBVmiiueUnJ3b1GFFFFIAooooAKKKKACiiigAooooAKKKKACiiigD//Z) +![md5:a755a01227ea3ae1245fd44bea06ab4f](a755a01227ea3ae1245fd44bea06ab4f.jpeg) In this way we generate an infinite sequence of distances \(\delta_{1}\) , \(\delta_{2}\) , \(\delta_{3}\) , ... among the non- edges in the picture above. By the "Pythagorean theorem" (or really the inequality for it), we have @@ -206,7 +206,7 @@ However for infinite Bob- sets the descending condition is insufficient, and con A cartoon of the graph is shown below. -![](data:image/jpeg;base64,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) +![md5:f571b12c2c566ce1beedd8190c986910](f571b12c2c566ce1beedd8190c986910.jpeg) In that case, \(\{A_{n}\}\) and \(\{B_{n}\}\) will be disconnected from each other: none of the edges \(A_{n}B_{n}\) or \(B_{n}A_{n + 1}\) are formed. In this case the relative neighbor graph consists of the edges \(A_{1}A_{2}A_{3}A_{4}\dots\) and \(B_{1}B_{2}B_{3}B_{4}\dots\) . That's why for the present problem, the inequality @@ -233,7 +233,7 @@ Claim — \(AHQC\) is a parallelogram, and \(APCQ\) is an isosceles trapezoid. Proof. As \(\overline{AH} \perp \overline{BC} \perp \overline{CQ}\) and \(\overline{CF} \perp \overline{AB} \perp \overline{AQ}\) . -![](data:image/jpeg;base64,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) +![md5:985a4e477931d9a1ea376c0c16ae4275](985a4e477931d9a1ea376c0c16ae4275.jpeg) Let \(M\) be the midpoint of \(\overline{QC}\) . @@ -341,7 +341,7 @@ We now consider the following algorithm, which takes several steps. A cartoon of this picture is shown below. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHKAbMDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKAM+bXtHtpnhn1axilQ4ZHuEVlPuCeKt29zBdwia2njmiPR43DKfxFcNq08Nr8aNImljkbOi3A/dQtI3+tTsoJ9aTc2keM9a8YSRS6f4ci0oLcB4zG11OrFvMEZwchfkywBOcDI5oA7+isBfEjW95p8GqWYs1v4neF/O37GRN7JJwNp25PBI+VuemYD4vRNAg8Qy2Zj0WbYwnMn7xYnICysmOF5B+9kKc4zkUAdNVe6v7OxMQu7uC3MrbIxLIE3t6DJ5PtWHD4i1G58SarosOkRGWwSKXznu8I6Sb9v8BIb5Dxgjrz0zi+J9atvEHgH7XDG8bxataQTQygb4ZUvIldDjjIOeR1B96AO+orDk8QSTavqGmaZZrdT6fGjXJkm8tQzjcqKcHLbRk5wBleeeL+j6pba3o9pqlpu+z3USyoHGGAI6EdiOhoAu0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEU9zBbeX580cXmuI497AbnPRR6n2qWvPfiXbTarp9y1lMEu9CiTU7cbvvXCtuUY7kIjjH/TUV07+IRN4MHiPT4FuY2sxeJE0uzK7dxG7BwcZ7dfSgDborl18ZCHQpdc1DTZrXS1soruKcSK5l38CMLwQ33cZ4O4dDkCW88T3GkxTS6ppM0UUdjJetJAxlRAmMo7bQobngAno3YcgHR0Vk6drEmoXEYiitprSSFpFu7S586PcCo2k7RydxI+hqXWtZg0SzjnmVpJJpo7aCJMbpZXO1VGeB6k9gCe1AGjVddQsnvGs0u4GulBLQCQFwOOq5z3H5is465JBq8Ok3ltHFeXUEktptmLRylMblLbQVI3Keh4yRnBFYXw8ga70j7fe2Fp9pjvr/wAu5D75AWupA45UYHyqODyFHA6UAdZealYafs+23ttbb87POlVN2OuMnnqKS01XTr9ytnf2tyyjJEMyuR+RrkfjAE/4VlqbOoIWa1PTOP8ASIqXxja3PiNdJh0S1uY9Qt7+KcX0tu8Ito1Pznc4BbI+XaM5zzxQB2+5SxUEbhyRnkUtcxa3EaeONbt4dIgTUjYwT/aftBxcpukVFb5fkwVbpnqOtVbTxzNN4SXxNcaM0GmruM+24DyxqrlWcKFwyjGTyDgHjpkA7GimxuksayRsGRgGVgeCD3ooAdRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHI3mh63N8RrLxBFFp5srazktCjXLiRg7ht2PLI4x0z+NbXiTQ4PEvhzUNGuHaOK8hMZdRkoeze+Dg1qUUAc7baLPPapb32n6ZDmJoriW2GWlBQqdvyjZnOepxjHOc1ly+E9TuvBEHg64ktvsKRR2sl4rnzHt0IxhNuA5VQp+bAznnpXbUUAcTYPeR/E3xR9jgglH2GwDLJKY8H9/jkKeOuahuPBmqR+E5tOtXs5r++1VdUvJZZWijD+ekpVMIxIwgUZx6+1dfDpGmW9899Dp1pHeSZL3CQKJGz1ywGTV2gDlI/DMtr4k1HVksrC7XVEieeGduYZkTZlG2HcpAXPAI255zgdJZwvBZxRSeXvVeREu1QfQDsKnooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmyGQROYlVpAp2qzbQT2BODge+DTqKAOc0rRrl4b2413TNJl1Cad5FaNzKrL0RSWjBXChV4BzjPfFYugeGfEWkeB9S8OPFpjRsLhLEreSERxyElUYmL+HceR1wBgV3tFAHKXPhe51j4dL4b1F4ba4W2iiWW3cyqrxbSj8qpI3IDj071fu08RXelvHGLC1u/KwCJGkRpOPVRhOvYk/z3KKAOX0fwrBpniM6rZ6bZ6Ur2zw3EFm3y3DllKsVCqPl2tg4yd5zjHN3xNoTa5ZWnkyrHd2N5FfWxf7hkjP3WxzggsMjpnPOMVt0UAc5No1/qPiWw1q8jt4jpkEy2tvHMW8yWQBSzttGFAXAwD94ntil8G6Vqei6PJY6kloG+0zzo1tO0gIlmeTB3IuMbwO+fauiooA5X4g6DqnifwpcaNpgs1e4eNmluZmQJskRxgKjZztI7Y966W3adoENzHHHMfvJHIXUfRiAT+QqWigDnbfStUTx7eazJHZixmsYrRds7GUFHkfcV2Ac+ZjG7jHeuV8M6bqevfCePRoTbQ296J4Hui5LJE0rh8JjlsZA5x39q9JlijnheGaNJInBVkdQQwPYg9agsdNsdMhMOn2VtaRE7ilvEsak+uABQBLbW8dpaw20IxFCixoPQAYFFS0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFeeeJbW41n4kW2knU7+0tf7N87FrMU+bewz6en5VnUnyK9rnXg8MsRNxcuVJNt77HodFcJ/wAK9T/oZNf/APAv/wCtR/wr1P8AoZNf/wDAv/61T7Sp/L+J0fVMJ/z/AP8AyV/5nd0Vwn/CvU/6GTX/APwL/wDrVg+LfDs3hrR01C08Q608ouETEl0cYJ9gKmVacVzOP4mlHLsNWqKnCtq9F7rPWaKy49EWOVH/ALR1JtrA7WumIP1HpWjLH5sLxlnXcpXchwRnuD2NbpvqeZOME1yu/wAh9FZI0FAQf7S1M49bpq1WXcpXJGRjIOCKE31CcYL4Xf5C0Vk/2An/AEE9U/8AAtq1VG1QuScDGT1oTfUJxgvhd/kLRWSdBQkn+0tU59Ltq04o/KiSPczbVC7nOScdye5oTfVBOMF8Mr/IfRWXJoaSSO/9o6ku4k4W6YAfQelaFvCLeBIhJJJtGN0jbmP1PehN9UE4wS92V/kSUVmT6Ms87ym/1FNxztjuWVR9B2q7a24tbdYRLLKFz88r7mP1NCbvsEowSupXfoTUVnXOkLdXDTG+v4i2PkiuCqjjsKs2doLOHyhNPNzndNIXb8z2oTd9glGCjdS19CxRVC70pbufzTe30XAG2Gcov5CprKyFlGyC4uJtxzmeUuR9CaLu+wOMOW6evaxZoqje6Yt7Kshu7yHC42wTlAffA70+ysBY78XN1Nvx/r5S+MemelF3fYOWHLfm17WLdFU73T1vmQm6u4doIxBMUz9cdaSy05bJ2YXV3NuGMTzFwPpmi7vsHLDlvza9rF2iqt7Yi+VAbm5h2knMEpTP1x1qOz0tbOYyC8vZsrjbPOXX64Pei7vsCjDlvza9rF6iq17Zi9iWMz3EOG3boJChPtkdqgtNJW0uBML2+lIBG2a4LqfwNF3fYFGHLdy19DQoqC7tRdwGIzTRcg7oXKN+Yqpb6OttcJML/UJCpztluSyn6iht32CMYON3LX0NKiobqAXFs8RkljyPvQvtYd+DXk3iy61htLlu7G81C102O4WDzJLpy87ZwQvONowcnnJ6EjmsqtX2fS504LB/WpqClZt2+89forhP+Fep/wBDJr//AIF//Wo/4V6n/Qya/wD+Bf8A9aj2lT+X8Tb6phP+f/8A5K/8zu6K4T/hXqf9DJr/AP4F/wD1qa/w/RUZh4k1/gZ/4+//AK1HtKn8v4h9Uwn/AD//APJX/md7RXJfDW7uL3wRaS3U8k8u+Rd8jFmwGOOTXW1pCXPFS7nHiqDw9edFu/K2vuCiiiqMAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4a7/5LHbf9gg/+jGrua4a7/5LHbf9gg/+jGrGttH1R6WW/FV/wSOwqGW6t7eSOOa4ijeQ4RXcAt9AetTV8+/FDwd4r1Px7Pd22n3V9bThBbSQruWMBQNp/u4OeuM9a9bK8DTxtZ06lRQVm7v8t0efUm4K6Vz6CrjPif8A8imn/X3F/M10miW93aaDp9tfy+beRW0aTybt25woDHPfnPNc38T/APkU0/6+4v5mvKxUVGE0nfc9PKf99peqO8ooorU8oKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiioLl7hVVbaJXdjjc7YVfc9z9B+lKTsrjSu7E9U7hrx5Gji2W8Kj5p3IJP+6P6n8jUkET26O89y0rHlmb5VXHoOw/zmo9S02DVbZba5aQ2+8NJGrYEoH8DeqnuO+MHjIMNOcddP6/rYuLUZd/6/rci0fUo9Stnkt1ma1RtkVzJjFwB1dfVc9DxnqOMGua+Kf/ACKCf9fcX8zXaqoVQqgBQMADoK4r4p/8ign/AF9xfzNRXVqLXkd+VNPMKTX8yOtpks0VvE0s0iRxoMs7sAAPcmn15p8Z9C1zW/D9kNIhluYoJme4t4Rlm4+VgOpxzwM9favQwWHhiMRGjOXKn1fQ8+cnGLaR6RHLHNGskTrIjchlOQfxpZf9U/8AumvPPg5oetaH4YuY9Xilt1ln3wW8pO5BjBOP4cnt+PevQ5f9U/8AumljaEcPXnShLmSe66jpy5kmzl/hZ/yIdp/10l/9DNdnXGfCz/kQ7T/rpL/6Ga7OuKh/Cj6I7M2/3+t/if5hRRRWp54UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcNd/wDJY7b/ALBB/wDRjV3NcNd/8ljtv+wQf/RjVjW2j6o9LLfiq/4JHYUUUVocQVxnxP8A+RTT/r7i/ma7OuM+J/8AyKaf9fcX8zWVf+FL0PRyn/fqXqjvKKKK3PJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmyMyxsyJvYDIUHGT6VUliu7mRkaT7Pbg4/dnMj/j/CPpz7iriqFUKM4AwMnJqFJyvpYtpRtrcqwwXLyrNdTYI+7DEcKPqerfoPardR3FxDaW0lxcSpFDEpd5HOFUDqSaztJvb7U5JbySD7Pp7AC2jkUiWQf89GH8IPZcZxycZwCMVHQHeS5uiILvTrrWtQePUFEekQMNtuGBN23XdJjogPRO5GTxxW5RRVWE5N6BXE/FP/kUE/6+4v5mu2rifin/AMign/X3F/M1liP4UvQ78o/36l/iR1tFFFaHGFNl/wBU/wDumnU2X/VP/umga3OX+Fn/ACIdp/10l/8AQzXZ1xnws/5EO0/66S/+hmuzqKH8KPojqzb/AH+t/if5hRRRWp54UUUUAFFFYcPi7Rri5uLaCW6kntiBPGljOWiJGRuATK5HPNAG5RVWw1Gz1S1+02NzFcQ7ipeNs4YcEH0I7g8irVABRVLVdWstE06XUNQlaK1iGZJBGz7B6kKCQPfpVxGV0V1OVYZB9qAFooooAKKTIyBnk0tABRWbeeINJsNSj0+7v4YbqSJphG5xhF+8xPRR9cVW03xbouravLpNpdP9vij85oJreSJimcbl3qNwyeozQBt1w13/AMljtv8AsEH/ANGNXc1w13/yWO2/7BB/9GNWNbaPqj0st+Kr/gkdhRRRWhxBXGfE/wD5FNP+vuL+Zrs64z4n/wDIpp/19xfzNZV/4UvQ9HKf9+peqO8ooorc8kKKKKACiiigAooooAKKKKACiiigAooooAKKKKACimTGURMYVVpP4Q7YH4nBqC3tZFk8+4naWbGAB8qL9F/qcmpcneyRSirXbHXIumKpbGNAfvSvyV+i9z9T+dOt7cW8ZXzJJGJyzyNkk/yH0HFTUUci5uYOZ25QqG6uoLG1lurqVIYIlLPI5wFFTVmXWkC+1WK6vJzLbW+GgtNuEEn/AD0bn5iOMdh15OCGwilfUtgW+pWUbSQb4ZQsgjniwR0Zcqw4IODzyCKsUUUxBRRRQIK4n4p/8ign/X3F/M121cT8U/8AkUE/6+4v5mscR/Cl6Ho5R/v1L/EjraKKK0OMKbL/AKp/9006my/6p/8AdNA1ucv8LP8AkQ7T/rpL/wChmuzrjPhZ/wAiHaf9dJf/AEM12dRQ/hR9EdWbf7/W/wAT/MKKKK1PPCiiigArgdAluo/iR48+zWyTHzrL70uzn7Mvsa76uT03wxrWm69rWrJrNg8uqvE8iNpz7Y/LjCDH770AoAyPCk0lifGl1FEZvEBujc3GkhgixMY/3ShicMHAzv4z6DFbel+KTdeJIdIea0uRPYtdpPanhCjKrI3zMCfnUgg9j9apzfD9LrTvEQutTkfU9e2C5u1i2qqpwiLHn7gHBBYkgnJq/L4avLjXtO1dtRihltIGtmiggKo0RaNyF+bKnMYHcYOMd6AOf8Q65eeI/hPr+s2qW8enT2NyII3B8x4gGXzC2cAnBYLg8YGeeO/tP+PKD/rmv8q5S48E3A8G6h4WsNSjt9OuI5Y4C9vveFJCTszuAIBYgHGccdfmrqbGKeCxgiupY5Z0QK7xRlFYj0UkkfmaAOV1HxqttrN/o/2qystSiYLZ218jJ9syikFJCwXliVwMkFeevD5PF8t1da7Hp8ljGNJkMAS5Y7rmYIHZRgjaPmC5w3OeOObeo+GrnVLDVNNvL2Cexv3chZbfc9urADCHdjI5IOOCc89KnttAm0zU9RutLu44otQkE08M0RkCzBQpdSGHUKuQc8jORQBgTalq+o+N/Dr2lxDbWt5pM90kFxasXjOYch/nGT82O2OeueO8rA1Dw7Pcanpuo21/surO2mtWeaPzPMSQJljgjDAxqfTqMem5FGsMKRJnaihRk5OBQB51q2n3Gu/F37RbRRXA8P6YjJDNKY43uZXJUMwVuAqBuh5C1a8LanLe+LtXfxFp5tfEWnWyx4hPmQ/ZXYsDEQNxyVG7POQMY5FW7Xwz4l0zX7/U7HW7B01KZpbmG5si23GFj2srg/KiquDx1PfjesdKi024vdUuHNxf3Kr9onWM8qgO1EQZIUZJA5JJPJoAtabqVrq1kLyzdnhLvGCyFDuRyjDBAIwykfhXI3f/ACWO2/7BB/8ARjVqeBS6eHnhlt7mCRb27crPbvEdr3MrqRuAzlSDx61l3f8AyWO2/wCwQf8A0Y1Y1to+qPSy34qv+CR2FeL+Pfi3rXh/xhPpWm21ssFoVDmeMlpSVDeowOeMfWvaKwNY8E+G9f1CO/1PSYbi6QACQllLAdN2CN345r1srxGEoVnPF0+eNtvM8+pGUlaLsaWjaiNX0Sw1IRmIXdvHOIyc7dyg4z+Ncz8T/wDkU0/6+4v5muyVVRQqgKoGAAMACuN+J/8AyKaf9fcX8zXlYppwm4qy1PTyn/faXqjvKKKK1PKCiiigAooooAKKKKACiiigAooooAKKKrXEVzNIEjmEMOPmZRlyfQZ4H15/Cpk7LRXHFXersWaom0nunJu5cRZ4ghJAI/2m6n6cD61aggjt4hHECFHPJJJPqSeSakpOHOlzFKXK3yhRRRVkBTJpRBBJKyuyopYhFLMQBngDkn2FV9R1K20qya6u3KxghQFG5nY8BVA5LE8ACnWE1zcWUc13a/ZZnyTDvDlBngEjjOMZxwDkZPWlcfK7X6GfpkOoXl3/AGpqJkt12lbexDcRqf4pMcM59Oi9Bk5J2aKKErDlK7CiiimSFFFFABXE/FP/AJFBP+vuL+Zrtq4n4p/8ign/AF9xfzNY4j+FL0PRyj/fqX+JHW1wXxR8b3vgzSbNtOgje5u5GUSSqWWMKBnj15GPxrvazta0HS/EVgbLVrOO6t87gr5BU+oI5B9wa7sFVo0sRGdePNBbo4ZpuLUdzmPhh40vPGeh3M1/BFHdWsvls8QIVwRkHB6Gu2l/1T/7pqlo+i6boGnrY6XaJa2yktsTJyT1JJ5J+tXZf9U/+6aWNqUatec6EeWDei7DpppJPc5f4Wf8iHaf9dJf/QzXZ1xnws/5EO0/66S/+hmuzrjofwo+iOzNv9/rf4n+YUUUVqeeFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXDXf8AyWO2/wCwQf8A0Y1dzXDXf/JY7b/sEH/0Y1Y1to+qPSy34qv+CR2FFFFaHEFcZ8T/APkU0/6+4v5muzrjPif/AMimn/X3F/M1lX/hS9D0cp/36l6o7yiiitzyQooooAKKKKACiiigAoopM5GRg0ALUU4nMWLdkVyfvOCQB6471XSwaWRZr2XznU5WMDEaH2Hc+5/DFXahNyTurfmW7RejuVrayS3cys7yzsMNLIckj0HYD2FWaKKcYqKsiZScndhRRRVCCo5riG3MYmlSMyOI03sBuY9APU+1SVj6fpU7Xx1XVnjlvsFYY4yTHaof4UzjLH+JsZPTgcUmVFLdl6XT7We/gvZYt89uGETMSQm7qQOmccZxnGR3q1RRTFdsKKKKBBRSEgAk9BzWV/b6ScWmnalde62xjH5ybQfzpOSW5pClOfwr+vU1qKbJ5hibytok2nbv6Z7ZxWWllrEjq1zrCIoIJS0tVXPsS5f+lDdugQgpK7kl63/RM1q4P4q3VuvhZYWnjEv2qNvL3DdgZ5x1ruJoY7iF4ZkDxuNrKe4qg2l6JYWr7rGwt7c/ezEiqfrxWdZOUGtkdOArQoV4VpJtxd7Lr8/+AYn/AAsDwt/0GIv++H/wo/4WB4W/6DEX/fD/AOFaGPCn9zSP++I6MeFP7mkf98R1h7b+/H+vmdfLhP8An3U+9f8AyJn/APCwPC3/AEGIv++H/wAKbJ4/8LGNgNXiyQf4H/wrSx4U/uaR/wB8R0Y8Kf3NI/74jo9t/fj/AF8w5cJ/z7qfev8A5EyvhZ/yIVp/10l/9DNdnUFn9l+yp9i8n7P/AAeTjb+GOKnropR5YJJ30ODGVvb4idW1uZt27XYUUUVocwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcNd/8ljtv+wQf/RjV3NcNd/8ljtv+wQf/RjVjW2j6o9LLfiq/wCCR2FFFcxrnxB8M+HNUTTtT1Hy7kgFlWNn8sHpuwOM100aFWvLkpRcn2SucLaWrOnrjPif/wAimn/X3F/M12EUsc0SSxOrxuoZXU5DA9CD6Vx/xP8A+RTT/r7i/ma5cRpTkejlP+/UvVHeUUUVueUFFFFABRRSMyrjcwGTgZPU0ALSZG4jIyOcVFcxzSoEhn8nJ+ZguWx7Z4B/A0ltaQ2qsIl+ZuXdjlmPqSeTU3lzWtoVZct76kc9rLcykSzstt/zyj+Ut/vN1x7DFWY40hjWONFRFGAqjAFOooUIp36g5tq3QKKKZLNFBGZJpEjQdWdgB+ZqhJN6IfRVaz1Cz1BXayu4LlUbazQyBwD6ZFQ3d7eQz+Va6VNccZ80yxpH9Mk7v/HaXMrXLVKTlyvR+en5l+qGq6rDpVsrujzTSt5cFvEMvM/ZV/Ikk8AAk8CoJdYewhgXUbdBe3MvlwWtpIZmfpzyF6ckk8Ad6lutKlu7lpH1S9SI/dghZEVeP7wXd/49Sb00KjTSl+8dl+fpb+vMfpceoJas+pzI9zK5cxxD5IRgYRTjLAY6nkknoMAR3HiDSbWdoJL6Jp0OGhiJkkH1Vcn9KuWttHZ26wxtKyrnmWVpG/FmJJ/OpQoGcADJycUa20EnT5m5JteWn+ZHbzpdW6TRrIqOMgSRsjfirAEfiKoSPrssrrDBp9vEGIWSSV5WI9SgCgfTdWpRTauKM1FtpX9RkQkWFBM6PKFG9kXaCe5AycD2yazG8NaZKxa5iluyTki6neVf++WJA/KtaihxT3CFWpBtwdr9tBqIsaKiKFRRhVUYAHoKdRRTMwooooAK5/xiM6GAf+eyf1roK5/xj/yAx/13T+tceP8A91qejOrA/wC8w9Sx/Yml/wDPhb/98Cj+xNL/AOfC3/74FX6yfEHiTSvC+n/bdWuhBEW2IApZnb0AHWt6eDhUkoQppt9EgeIqLVyf3k/9iaX/AM+Fv/3wKRtE0wIT9gt+n9wVHoPiHS/E2nC+0m6W4g3FG4KlWHYg8itN/uN9KVTBwpycJ00mujQKvUeqk/vMvwd/yLkP++//AKEa3qwfB3/IuQ/77/8AoRrerLAf7rT9F+Qsb/vNT1f5hRRRXWcwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcNd/8AJY7b/sEH/wBGNXc1w13/AMljtv8AsEH/ANGNWNbaPqj0st+Kr/gkdhXj/jj4P6h4j8Wzatp+o20cN0VMyXG7dGQoX5cA7s4zjjFewUV6OBx9fA1HUoOzat3OCcFNWZT0nT49I0ey02J2eO0gSBWbqwVQMn8q5j4n/wDIpp/19xfzNdnXGfE//kU0/wCvuL+ZrzsTJyhKUt2ellP++0vVHeUUVDdXdtY27XF3PHBCuMySMFUZ4HJrbY8tJt2W5NSEhQSSAB1JrOtNdsb65EFoZ5j3dbd/LXjPLkbf1pNQsruYF4xDdHcNsE8hjiUepwrFj7Hj6Vm56XhqaqjJS5anu+v/AATQJMkO6J1yy5Rsbh7H3FV4LBI5RPM7T3H/AD0k/h/3R0UfT9ais4tWE4e8ubPyQMeTBAwP/fZb/wBlFT3thBqEaxzmbYpziKZ48/XaRkex4ocVKza1QaQly82nl/S/yLG4btuRnGcVVvtQisAm+G5lZ87Vgt3kPHrtBA/HFNstI07TnaS0soIZGGGkVBvYe7dT+NXavWxP7tS0u193+ZSsb6a8d9+nXVrGB8rzlBv+gViR+OKW9h1CZkFneQ2yY+ctbmRj9DuAH4g1cootpZh7S0uaKS/H87lSxtJ7UOZ9QuLtnxzKqKF+gVR+uaLjS9Pu7lbm5sbaadF2rJJErMo64BI4q3RRyq1he0lzcydn5afkIqhVCqAAOgA6UtVdRnurayd7K0N1c8LHFvCjJOMsT0UdT1OBwCaraRpTWHnXN1ObnUbnBuJyMA4zhEH8KDJwPck5JJoFbS7ZJaaTBa6hc6gzyT3dwcGWUglI88Rr/dUfqeTk1foopibb3CiiigQUUUUAFFFFABRRRQAUUUUAFc/4x/5AY/67p/Wugrn/ABj/AMgMf9d0/rXJj/8AdanozqwP+8w9TXrh/iX4Fn8b6XapZ3UcF3aOzRiXOxwwAIOOnQc4P613FFejhcTUwtaNak7SRjKKkrM4v4b+CJvBOiz291dJPdXMvmSeVnYuBgAZAJ+tdm/3G+lLSP8Acb6VOKxFTE1ZVqrvJ7jhFRSSMvwd/wAi5D/vv/6Ea3qwfB3/ACLkP++//oRrergwH+60/RfkaY3/AHmp6v8AMKKKK6zmCiiigAooooAKKKKACiiigAooooAKKKKACiiigArlfEHg2XWddi1e01m4065S38gmFAcrknrketdVXOatdanJ4hi0+xvBbIbfzSTGGyckd/pXPiZxhBcybu0rLv8AejswM6sKjlSkouz1eqt16P8AIy/+EH1v/odtS/74/wDsqP8AhB9b/wCh21L/AL4/+yrU+xeIf+g2n/gOv+FH2LxD/wBBtP8AwHX/AArl5/8Ap1L71/8AJHo/XMR/z9h/4Cv/AJAy/wDhB9b/AOh21L/vj/7KoLr4c3+oRrDf+LL+5gDhzG8Y5I+p61t/YvEP/QbT/wAB1/wqlqcmv6Xai4fV1kG8LtECjr+FRUqxhFynSlZea/8Aki6eLxbmlCrC/T3V/wDIG1DpFnBdxPNe3k9zndGJ7tzkjuEBC/pV65tmudq+fJHF/GsfBb23dQPp+dFtZQ2pZkBaRvvyudzt9T/TpVivRjC8bSR4tSrJyTve3f8ATsRwwRW8QihjVEHRVGKkooq0klZGTbbuwooopiCiiigAooooAKy9V1ZrSSOysohc6nOCYoc4Cr3kc/woPXqegyaufb7X+0RYCYG68rzjGASQmcZPpk9M9cHHQ0+O1giuJriOFFmmx5kgX5nwMDJ74FL0KVk7yQ+MOIkEjK0mBuKjAJ74GTgfjTqKKZIUUUUAFFFFABRRRQAUUUUAFFFQXF7b2pCyygO33UHLN9FHJpSkoq7dhqLk7JE9FI24odhAbHBIyAfpVNdOV2D3c0lywOQGOEB9lHH55qZOS0irjiovdluRmSNmVDIwHCggE/nWRqOmXes2vkXMsVtHuDBYwXbI9ScD9PxrZrjfibrmpeH/AAgbvSrgW909xHEJSgbaCTnggjtUVqcakWp7dv61/E1w7n7RKn8V9H/X+Ro/8I7f/wDQfuv++f8A69H/AAjt/wD9B+6/75/+vXN/8I98Rf8Aoeof/BdH/hR/wj3xF/6HqH/wXR/4VzfVKP8AK/8AwJ/5nb7Sp/z8j93/ANqdJ/wjt/8A9B+6/wC+f/r0f8I7fkY/t66/75/+vXN/8I98Rf8Aoeof/BdH/hTX0D4iojN/wnUPAz/yDo/8KPqlH+V/+BP/ADD2lT/n5H7v/tTutJ05dK06O0SQyBSTuIxnJzV2uR+Gmt6h4h8D2moanMJrpnkVpAgXcAxA4AA6V11dlKMYwUYKyWxwV1NVZc7u76hRRRVmQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc7c/8jxF/15f+zGuirnbn/keIv+vL/wBmNceM2h/iR14Tef8AhZs0UV88/FTXPFdn4/khivL+1t12fYVt3ZVcFRkjH3juznr6V7mV5dLMKzoxko2V9TmqVORXPoasPxZ/yB1/67JV7RJL2bQtPk1JNl+9tG1wuMYkKjcMduc1R8Wf8gdf+uyV4mYx5aFSPZM7MF/Hh6nS0UUV1nCFFFFABRRRQAUUUUAFRXKztayravHHOVIjeRSyq3YkAjI9s1natfXomj07S4c3ky7jcSITFbp03t/ePoo5J64GTV+ytjZ2cVuZ5p2RcGWZtzue5J/w49KVyuWyTK+laTDpUDqjvNcTNvuLmTl5n9WP6ADgDgcVfoopibbd2FFFFAgooooAKKKKACiiqb/b5nZU8q2jBxvPzuR7DoP1+lTKXL0uVGN+ti5VI6h5pK2dvJcHpv8AuIP+BHr+GatopSNVZ2cgYLNjJ9zjinUpKT2dgi4rdXEGSg3AAkcgH+tRW9pb2oPkRKhb7zAct9T1P41NRVcqbTe4uZ2sgooopiCvPfjL/wAiMn/X9D/M16FXnvxl/wCRGT/r+h/maip8LOjCfx4ep3NFFeZfGrUNd0/w5aNpMk8Ns8rC7mgJDKMfKCR0U85+gHeuvBYV4vERoJpc3VmU5csWz02mTf6iT/dP8q87+DOoa5qPhSeTV5biaJZ8Ws1wSWdcc8nkgHp+I7ceiTf6iT/dP8qMbhnha8qDabi7XQ4S5kmcb8Gv+SbWX/XWb/0M131cD8Gv+SbWX/XWb/0M131clP4UaYv+PP1YUUUVZzhRRRQAUUV55oxhfxr4u0/UNYvltLCS1FqkmpSp5YeAO3O8E8nvmgD0OiuO8H61eS22uzaldGXR7K7cWOozgL50AXLEnADKpyA/cDv1rpLXVrK8umtoZWFwqCQxSRtG+wnAYBgCRnjI4zQBdorjfHet2q+C9ea01CeG6s7eUpPbNIgjmVSQpkX5c5wNpPUgY6V1tsxa0hZiSSikk9+KAJaKz7rXNPshcNPM4W2/1zpE7rHwDhioIBwQfxHrSXmvabYyzR3Fzta3QST7UZxCpzhnKghBwTlscAnoKANGiucv/FttZeKrHR/LuX8+2luGkjtZJBhSgXaVU7vv84zjjOMiujoAKK848Va1qFt8TtMsINWNjp0WmSXV/LJIqxQIX2hyDwWyCo3ZALZwcYNvwkq6h4pudZ0TXb2+8PG2MLpcXjTpJc7gdyBiSgCgg9AdwwMCgDvK525/5HiL/ry/9mNdFXO3P/I8Rf8AXl/7Ma48ZtD/ABI68JvP/CzZpMAkEgZHQ0tFdRiFYfiz/kDr/wBdkrcrD8Wf8gdf+uyVyY//AHafodOD/wB4h6nS0UUV2nCFFFFABRRRQAVmtq6PrS6ZawtcSIN11IpwluuMruPdjxhRzjk4GM31kjmDrHIrbSUbY2Sp9PY1Bp+nW2l2gtrWPagJZiSWZ2PJZieWYnqTSKVle5aooopkhRRRQAUUVVnvVik8pIZppcZ2xpwPqxwB+dTKSirsqMXJ2RaqKe5gtk3zypGvqzYzRA0zx7p40jbPCq+7A9zgc0gtbcXDXHkp5x6yEZP59qTcmrx/EEkn734DoZkuIhIgbaem5Sp/I81BJYm4kY3FxK8ZPESnYoHvjk/ice1W6KHBSVpagpuLvHQZFFHDGscSKiKMBVGAKfRRVpW0RLd9WFFFFABRRRQAUUUUAFee/GX/AJEZP+v6H+Zr0KvPfjL/AMiMn/X9D/M1FT4WdGE/jw9TuaQgEEEAg9QaWimQFMm/1En+6f5U+mTf6iT/AHT/ACoGjjfg1/yTay/66zf+hmu+rgfg1/yTay/66zf+hmu+pU/hRWL/AI8/VhRRRVnOFFFFABXnmgXUcPjnxjfXWm6mLa8ltTbSPpVwRIEgCtj5OxGK9DooA8wjttat9P8AHF7ZaK8mlXZjGm6VdwH5zt2zP5PBCsTu2cFsHgE834o7q28c6LfQpqF9a/2dLZmdrXy1R2khIGFQbAFVjyMcYzmvQKKAPLntL3TPgxqvhy4sbybVorW6hZYrd389mZyJFYDDBtwbrnJx14r0fTJ1udMtpUWRVaNeJY2jYcd1YAj8RVqigDznV9Ounu9bv9HuNWsNS81gLFoTNZ6iwRQCUZSAGACFgRjGT61b0/TbjTtY8Twam9+IdTuzdRPbweaksTRIhTIRiGXaRg44wR3ru6KAOHnspNG8Q+GLqKxuvsVppNxZ7VVpmjfEJRGK55IjYZ6EjryK7WIyGFDKFEm0bgvQHvin0UAec6brlvZeP9evtUsNUi+2lLaxm+wSyRtDDkEAqDyzl2AxyAp7irum+Fpm17xDrGns2kW+qJboiCIqzlCS8jJkFSwO0dGHJ4NdzVbUdPt9V0+exuxI1vOuyRY5WjJXuNykEfgaAMLw8Lhte1aaCWU6K6RC0SWUvvkG7zJE3HIQ5QDsSpI4OTJc/wDI8Rf9eX/sxq7o/h3TdCeZ7FbnfMFV2uLya4OFzgAyM2B8x6Yqlc/8jxF/15f+zGuPGbQ/xI68JvP/AAs2aKKK6jEKw/Fn/IHX/rslblYfiz/kDr/12SuTH/7tP0OnB/7xD1OlooortOEKKKKACs7V4tSuY47XT5Vt1lJE91nLxJ/sDoWPQE8Drz0qq+p3Opap9i0kqILaQfbLxl3KCDzEnq56E9F+vA26W5dnBpsrWGn22mWUdpaRCOFOgzkknkkk8kk8knkmrNFNeRIkLyOqIOrMcAUaJE6tjqKr295DdFvILOo/j2kKfoe/4UXFs1wVH2iWOMfeWMhS349R+GKnnvG8dR8tnaWhPkZIyMjqKr3BvC4S2WFVxzLIScfRR1/MU+3tILVSIIlTdyxHVj7nqfxqaizlGz09Auou619SG3ikiQ+bcPMxOSWAAHsAB0qaiiqSsrITd3dhRRRTEFFFFABRRRQAUUUUAFFFFABRRRQAV578Zf8AkRk/6/of5mvQq89+Mv8AyIyf9f0P8zUVPhZ0YT+PD1O5ooopkBTJv9RJ/un+VPpk3+ok/wB0/wAqBo434Nf8k2sv+us3/oZrvq4H4Nf8k2sv+us3/oZrvqVP4UVi/wCPP1YUUUVZzhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVztz/AMjxF/15f+zGuirnbn/keIv+vL/2Y1x4zaH+JHXhN5/4WbNeYeL/AIxW/hjxLJpEOltefZ8C4k87ZgkA4Xg5wD378V6fXD+JfhX4f8Ua3/a1213DO+POEEgAlwABnIOOABxivcyuWCjWbxybjbp3+Vjmqc9vc3Ov06+h1TTbW/tixguYVmjLDB2sARkfQ1meLP8AkDr/ANdkrXtbWGytIbW2jWKCFFjjReiqBgAfhWR4s/5A6/8AXZK8TMeX2FTl2szswX8eHqdLRRRXWcIVTsdTttRluVtWaRLd/LaUL8jP3CnvjocdDx1BwmqWn2+1FobuS2WVgHMTbXde6g9Rn1HOM4x1qQQfYrKO30+3hRIwESPOxEUemB+lS3YtJW8ydESNdqKqrknCjAyeTUdxcLbIGZJHLHCrGhYk/h0/Go4Le4WTzbi6MjY+4ihUH4ck/iatUk5Sj2BpJ9ytby3UrlpbdYYscBny5PuBwPzNSS20M7I0sSSFDldwzg+1S0U1HS0tfUTlrdaBRRRVEhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFee/GX/kRk/6/of5mvQq89+Mv/IjJ/1/Q/zNRU+FnRhP48PU7muR8feOoPA+mW87Wpurm5crDFv2jgcknngZH5111c/4t8H6Z4y01LPUhKpibfFLE2HQ4wcZyCD6GuvBPDrEReJV4dbGU+blfLuVfAfjaDxvpEt3HatazwSeXNCW3gHGQQ2BkEe1dPN/qJP90/yrF8KeEdM8HaW1jpiyEO++SWZgzyH3IAHA7AVtTf6iT/dP8qMa6DryeGTUL6XHDmsubc434Nf8k2sv+us3/oZrvq4H4Nf8k2sv+us3/oZrvq5Kfwo0xf8AHn6sKKKKs5wooooAKKKKACiiigAooooAKKKKACiiigAooooAK5u8kSLxtE0jqi/YurHA+8a6SqF9o2n6lKst3bLI6rtDbiOPwNc2KpTqRXJa6aevkdGGqQpyfPs01oH2y1/5+Yf++xR9stf+fmH/AL7FVv8AhFdF/wCfFf8Av43+NH/CK6L/AM+K/wDfxv8AGovi/wCWP3v/AORNL4XvL7l/mWftlr/z8w/99isTxTcQSaQqxzRs3nJwrA1pf8Irov8Az4r/AN/G/wAaP+EY0SP5zZIAvOWdsfjzWVeni6tOVNqKv5v/ACNaNXDU5qacnbyX+ZeXUbeWYRQs0zZwTEu5V+rdB+eay9Str/XLuXTgZrHS48CedDiS5JGdif3U9W6noO5qxpOqNqk0klpbqukou2Gc8Gds8lB/cHY9+3GCdau2KbXvM42/Zy0Wv3lW30+1tW3xx5kxjzHJZ/zPP4VaooqoxjFWirESk5O8ncKKKKokKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvPfjMceBkJ6fbof5mvQXLBGKAF8fKCcAn61zV14UHiGHb4olF5HnctlAzRwRn1yCGc+5OPRRUzTasjfDyjCopy2Rf/ALa0r/oJ2f8A3/X/ABo/trSv+gnZ/wDf9f8AGsP/AIVR4I/6ASf+BEv/AMVR/wAKo8Ef9AJP/AiX/wCKqff8jS+H7v7l/mbn9taV/wBBOz/7/r/jTJdZ0owv/wATOz+6f+W6/wCNY3/CqPBH/QCT/wACJf8A4qj/AIVR4I/6ASf+BEv/AMVR7/kF8P3f3L/MqfBr/km1l/11m/8AQzXfVS0nSLDQtOj0/TLZbe1jyVjUk4ycnkkk8mrtVFWSRjXmqlSU11YUUUVRkFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXlHi7Q7PxP8YbPS9SMzWg0fzQkchXDeY/P+fSvV687vf+S8Wn/YDP/ox6iorpHVhG4yk1vZjP+FO+Ev8Anlef+BLUf8Kd8Jf88rz/AMCWrvqz77XNJ0y5it7/AFOztZpf9XHPOqFvoCacaPO7Rjdl/W6y+2/vOR/4U74S/wCeV5/4EtXKfEH4eaD4a8Npf6dHcCf7VHH+8mLDaSc8V7TXAfGD/kSU/wCv2H+ZrOcIqL0NsNia0qsU5O1z0dVVFCqAFAwABwBS0UVseYFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRQSB1PWqOpw6jcRxxWF1FaBj+9maPe6r/sA8Z9zkD0NA0rsvVj32m6jqd28U18bXTBjEdoSs03HO6Tqgznhef9rtVnTNItdKWQw+ZJNMQZriZy8kpHTcx9MnAHAzwBV+lvuO/K/dIra2hs7aO2t41jhjUKiL0AFS0UUydwooqtfahZ6ZaPdX91Da26felmcIo/E00nJ2W4Fmiq9lfWmo2qXVjdQ3Nu/3ZYZA6n6EcVYoaadmAUUUUgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK87vf8AkvFp/wBgM/8Aox69Erzu9/5Lxaf9gM/+jHqJ9Dpwu8vRnd14R8R/ht4o1nxxc6jp1uLy2u9hV/NVfKwoUq2SOOO38693or0ctzKrl9V1aSTbVtTCpTU1ZlHRLKbTdC0+xuJvOntraOKSXJO9lUAnnnkiuO+MH/Ikp/1+w/zNd/XAfGD/AJElP+v2H+Zrz60nPmk92deE0rQ9T0iiiiqOIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopqyI7MqurFDhgDnB64P50AOJwMmopjK1q5tWjMpQ+WXyUzjgnHb6Vl3OhyapdSNq1209lu/d2MY2RFf+mnOZD7E7f9nvWwiLGioihUUYVVGAB6CkU0ls7mTZaCsd2l/qNy+oagudksg2pDng+XH0TjjPLEdSa16KKErBKTluFFFFMkKKKKACvN/jF4R1jxXolj/Y4857SVne23hfMBGARnjIweM/xGvSKK6cHip4SvGvT3j3FKKkrM88+EPhPWPCnhy6i1gCKW5n8xLcOG8sAYySCRk+3oPw9DoopYvEzxVaVepvLsEYqKsgooornGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV53e/8l4tP+wGf/Rj16JXnd7/AMl4tP8AsBn/ANGPUT6HThd5ejO7ooopmYVwHxg/5ElP+v2H+Zrv64D4wf8AIkp/1+w/zNTP4WdGF/jR9T0iiiitDiCiiigAooooAKKKKACiiigAooooAKKKKACiio554baF5riVIokGWeRgqqPcnpQBJTGljWRI2kUSPnapPLY64Heo7yO5mtJI7S4W3nbAWVo/M288nbkZOM49+x6VU03RLTTpGuAZLi9kGJLu4bfK49M/wj/ZUAe1IpJWu2Lqdhd6g0cUeoyWlrg+cIFxK/oA/wDCOucDPoRU9hp1npdqLayt0giyWIUcsx6sT1JPcnk1aoosHM7W6BRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5y08XJfalqGn2+jam91p7It1HiEeWXXcvJkwcjnjNdHXA6AL0/Ejx59ke3U+dZZ81C3P2ZcdCKAOt0jXLHXIZ3spGLW8pgnikQo8Mg6qynkH9D1Ga0a830C7Gknxwhmt4vE0Egurye7k22p3R5hZSBlYwowQckc5J4NbWleILl/FlppbTT3Frd6a90JJ4DGySI6KQvyJuUiTuO3vQBu69rMXh/RbnVbi3uJre2QySiAKWVAMlsEjIAH1q/G4kjWRc4YAjPvXmurarf+Jfg7revm58iK7sblobQRqUWEBlAY43FyoyTkAE9MDn0a0/48oP+ua/yoAmorhdc8VXemahqNtfSX2mR7gLG/FoJbLBVcebIFYod+4HOAAB+MieIdR1e88RpZTT2x0y4NnapHaGUSyrGrFpDtPBLAYBU4Gc8jAB2bSxrKkTOodwSqk8nHXH50+uAn/tK+8e+HJZ768097jRriaS1UREW75g3KMoc8sQSc9OMc575WDKGUggjII70AYeqeLdL0fXLXSbszrcXMTSoViJXCkDHqzEsAAoJJNR6d4ugvvEj6DNpmpWF6Lc3Uf2qNAksYYKSpVm6Ejg4PNc7c6ZLr/xbvb63khjl0HTY4Ld54jKiXExZixUMpOI8DGR94Gk8O6rf6Z4i8RQeJLcX2q2FvFKt/ZRMxnt3LbUWP8AgIIPA69SeM0AeiV53e/8l4tP+wGf/Rj12On6zHf6lf6eYJYbqy8syq2CpDglSCDz0PHBGPcE8de/8l4tP+wGf/Rj1E+h04XeXozu6KK8K+IvxN8T6L43uNN02ZbS1tNgCNCrGbKhssSDxzxjHHvXo5dl1bMKrpUWrpX1MKlRQV2e61wHxg/5ElP+v2H+ZrsdFvpNU0LT9Qmh8mW6to5ni/uFlBI59M1x3xg/5ElP+v2H+Zrz60XDmi90deE1rQ9T0iiiiqOIKKKKACiiigAooooAKKKKACiiigAoqEXlsbw2YuIjdBPMMIcbwucZI64z3qlqWjDVZ1F1dzmxC4azjOxZGyeXYfMw6fLkD1zSKS110L1vdW93GZLaeKZAxQtG4YBgcEZHcGsuPw/HNei91W4bUJ0ctCkihYYPTZH0z/tHLe46VqwwRW0CQwRJFEg2oiKFVR6ADpUlFu4KTV+UKKKKZIUUUUAFFFFABRRRQAUUUUAFFFFABRRXnHxg8Y6v4S0Wx/sfEUt3KyNclA3lgAHAB4yc9wehrpweFni68aFPeXcUpKKuz0eivPfhH4v1bxb4dupdX2yT20/li4VAvmAjPIAAyPb1H4+hUsXhp4WtKhU3j2CMlJXQUUUVzjCiiigAooooAK5qy8Hmw1XU9Sg1/VRdak0bXDEW5BKLsXA8rjgCulooA5hvAmkSaXq1nO91NLqzK95eSSDzpGXGw5A2gLgYUDaPTk1Zm8LQ3WrWWqXV/dy3dqhjDfIquhZG2sAv95FORg++OK3qKAOZu/BVncaBf6FDe3lrpl4JAbeEoBHvJLBCVJC5JOM45x04rfsrdrSyht3uJLho1C+bKFDN9doA/IVPRQBhzeGopodStnvrs2mpO7XEB2FcMoVlU7cqCBzz3JGDzUo8PwwaldXtjdT2T3m03CQhCsjKNofDKcNgAZHUAZBrXooAxr3w3bXdzYXMdxcW09lDJbxvGwJMThQyncDn7inPXI+uddEWONY0UKigBQOwFOooA5KLwTPZ6vcalp/iXVLWW7leW6jAikjlZjwQrIdpUBVB9FHvnVfT5tJsbq40uEXepTOjyyXDgPPggHJGAMLnaBhQfTJrYooA5rQbC8tfEWr3CQPbaVcJE0ccxDSPONwkfqSBt8sYJ6qcADrgXv8AyXi0/wCwGf8A0Y9eiV53e/8AJeLT/sBn/wBGPUT6HThd5ejO7rM1Dw5ourXUV1qGlWd1PFwkk0KsQPTnrWnRWkKk4Pmg7PyM2k9wrgPjB/yJKf8AX7D/ADNd/XAfGD/kSU/6/Yf5msp/Czowv8aPqekUUUVocQUUUUAFFFFABRRRQAUUyWWOCJ5ZZFjjQbmdzgKPUmmW11DfWiXNrMskMq5SReQw9R6igdnuNur61shF9quIofNcRxh2ALseij1NNv7Wa8tTBDeS2hYjdJCF37e4BIOM+uM+lVdP0G1sbk3kry3moMMNd3JDPj0XAARfZQBWpS9RuyfulPTtKstJhaKzgEe87pHJLPI3952PLH3JNXKKKYm23dhRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKqajpljq9m1pqNpDdW7cmOZAwz689/erdFOMnF80XZgVrDTrLSrNLTT7SG1tkztihQKoz14FWaKKJScndu7AKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFed3v/JeLT/sBn/0Y9eiV53e/wDJeLT/ALAZ/wDRj1E+h04XeXozu6KKKZmFcB8YP+RJT/r9h/ma7+uA+MH/ACJKf9fsP8zUz+FnRhf40fU9IooorQ4gooooAKKKqT6nZW17BZS3CC6n/wBXCPmdh3OByB7nigaTexbqrbajZ3lxcQW1wk0luQswQ5CE9iemeOnUfjTNS01NUhSGa4uY4Q2ZI4JNnmj+6xHzY9gRnvxU9ra29lbR21rBHBBGMJHGoVVHsBS1H7tvMo3WhWt/qAur95bqNMGK1lI8mMj+LYB8xzzls47YrUoop2E5N7hRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvO73/kvFp/2Az/AOjHr0SvO73/AJLxaf8AYDP/AKMeon0OnC7y9Gd3XFeJPil4d8L60NKvTdSXCgGUwRhliyARuyR2IPGa7WvLPGPwcTxN4nk1e21QWi3JBnjaHfggAZXkdcdD3r08rhgp1msbJqNunf8AEwqOaXubnp1tcQ3lrFc28iywTIJI3U5DKRkEfhXC/GD/AJElP+v2H+ZrtdNsIdL0u00+33eTawpDHuOTtUADPvxXFfGD/kSU/wCv2H+Zrza3L73LsdeE/jQ9T0iiikZlRSzMFUDJJOABVHELVa+1C00y1a5vbiOCEHG5zjJPQD1J7AcmmafqlnqsTy2UvnQo2zzQp2OfVWIww9xkVGmi2S6o2pSI092fuSTMX8kekYPCD6cnvml6FJJO0i1kXlluikliE0eVfbsdMjg4YcEZ6EfUVX03R7LSkf7LEfMlOZZpGLySn1Zzyf6dqvUU7C5nay2CiiigQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFYHi3xhpXgzTEvdUaUiRtkUUK7nkbGeOg/EkVv1xvxE8BR+O9LtoRd/Zbu1dmhkKblIYDKkehwOfaurBRw8sRFYl2h1sTK9vd3NXwr4t0rxjpZv9LeTYj7JIpVCvG3oQCe3oa3a5H4feBo/AujTWn2s3VxcSeZNLt2rwMAAZPQV11LGRoRryWHd4X0uEb213CiiiuYoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArzu9/wCS8Wn/AGAz/wCjHr0SuR8TfD6x8Ta1Dqz6lqVjdxwfZ99lMEymSfQnqTUTTa0OjDzjGT5nZNNHS0Vw3/CqIP8AobPE3/gaP/iaP+FUQf8AQ2eJv/A0f/E0ry7F8tH+f8Dua4D4wf8AIkp/1+w/zNTf8Kog/wChs8Tf+Bo/+JqOX4P6ddBEvPEXiC6hVgximuwynH/AaUuZq1jSlKhTmp8+3kdwusWUmqHTYpTNdKMyLEpYRcfxsOFJ7AnJpNR0ez1V4ftqNNFESfIZz5Tnjl16NjHAOR7VPZWNrp1qltZW8cECdEjXA+v196sVp6nFdJ3iIqhVCqAABgAdqWiimSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXzn8WLDxbP8AEOSSKHUZrc7P7Pa2VyqjaMhcdG3Zz/8Aqr6Mor0srzF4Cs6qipXVtSJw51Y89sbP4oCwtxNqGjiXyl3+YCWzjnOExn6VP9k+Jn/QR0P/AL5b/wCIru6K8mdPnk5Xav5mf1dfzP7zhPsnxM/6COh/98t/8RR9k+Jn/QR0P/vlv/iK7uip9j/ef3i+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iKPsnxM/wCgjof/AHy3/wARXd0Uex/vP7w+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iKPsnxM/wCgjof/AHy3/wARXd0Uex/vP7w+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iKPsnxM/wCgjof/AHy3/wARXd0Uex/vP7w+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iKPsnxM/wCgjof/AHy3/wARXd0Uex/vP7w+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iKPsnxM/wCgjof/AHy3/wARXd0Uex/vP7w+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iKPsnxM/wCgjof/AHy3/wARXd0Uex/vP7w+rr+Z/ecJ9k+Jn/QR0P8A75b/AOIo+yfEz/oI6H/3y3/xFd3RR7H+8/vD6uv5n95wn2T4mf8AQR0P/vlv/iK4r4m2HxGk8OILyeG5sfM/fx6arbsY4LgKMr+mcV7hRXXgKv1PEwxC97l6N6f1+o/q6/mf3nmvwVttdtvCU66wtwkJnzaJcAhguPmwDyBnp+NelUUVpjMS8VXlWaS5neyNYrlVgooormKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArF8XRJJ4S1V2UForSWSNu6MEOCD2NbVZXiWG5uvDeoWlpbPcT3NvJCiqyrgspAJLEDFTP4WRUV4MwNOt9C1bSLLS0EJvp9PErSxHDoQqAsWHOcsK2o7iNfEzwyC8+2fYQ2wOPIdQ3JUZ+9k4yQOlTaHbyJpVgt1ZvBc21usHzsp/hXdjaSMZUflVaSG8HjNbwWMzWq2LQeaHjwWLhuhbPbHTr+dZJNJP0MoxcUnbt0HR+KLN9PkvmguY7eGYwzs6r+5YPsO7n19M8VduNUhgvhZJHJPdeSZ/Kj252A4zyR34rlpdM1WTwdrGnjSpxdXV1NJEhli5V5S4JO/AwMZ/rWzMmoXGtiWe2uvsH2ZfKiilVSJcnd5mG54245K9e9CnLr5dAjOfXy6epV8Sz2mp+F7XUbcrIhubV4ZcYIDTID7jgkEV1FcQul6xD4Ng0n+zmklhniPySR8hJ97NksOCoGO+eoFdsjFkVipUkZKnGR7ccVVNtu7XRfqVTbbu10X6mTFr8c93e2sVhetPZsFmUIvGV3Ag7sHIPQc+1SjXbB7SzuYJTOt6223WMfNIcEkYOMYAOc4xg5rK064lg8UeJfLtJZ/3kBHllevkrx8xGPrVO38L3llbaNcN++uLOeeWeCGQpkTZJCHI+6SOuMjPrU88+n9akc8+mu/52/I27rxHa2djeXUsFx/oThbmIBd8WQCGPOCMEHIJ6+xxQ8Sa0//AAjOqta295G8aBPM27PlcD5lJPIwe3IPYUmu6ZPdeHtWhsdMkNxexiMBpV3vgHlizYwOg5z7Vb8Sw3mpeFbm3tbCZrmdQohLxgrznk7sduxPWiTm015f5hJzakvLt6/8AfaSWOmT/ZbWxnjurrM7WispKqoCbvvbVHCjg8/nU416ya3t5YzI8lxK0McCr+8Mi53Lg9Nu05JOBjr0qhPp07eJI9Z+zXBilsxbSwrKFkiKuWVuGwQcnIB9PfEc+jzRajpeqWlmF+yzTmW2DguyygAvknBfIBPPQnn1d5LZDvNbL+u4/WPEv2fR7uazt5nnguEtpVymYWYqMn5sHhx0zyecc434JGliDvDJCT/BIVyPyJH61j69a3mraDdQw222TfE8UbMAz7HVz3wM7cDn61q2zzSK7yo0YZvkRsblXA64J75P41Ub82v9blx5ud32/wCHKt7rMNjqNrYywTtJdBvJZACrMoyV65zj2x79ai/4SC2K3u2C4aSyJ+0xBV3RjaGz1wcg5GCc1Bq1veS+JNFuIbKWaC1aVpZFdAF3IVHBYE8+1VIrbUFufE0h0ycC9Km3/eRfPiJY8ff45BPPb34qXKV/67f5kuc02l37eX+Zsy6xaIliyMZTff8AHsqYBkG3dkZIHQZqrea+kfh+/wBRtYJZnsxIJIflVkdAchsnHHXjOR0zWdb2urR6b4etpLa4itraAR3scUqCTcqKq4ZW+7ndnBz07Zplro2o/wBn+ItPNuIo78zvC7yBv9ZGiqDyTkYbOfbBNJzm/wCvITnN7L+rGxb6ukOgpf6gktuqxoWaQKS5IHQKTnJOAOuT0qjr1/bXujatYT27x3KafJcrFMFJ24YBhtJwQR9aivdM1DVPD0EIh8ie1NtLHDKw+eSMhmBIJGDgAe4zV7V2vb7RL6CDTpt81rJGEZ0DF2GAPvYwOcnPpjNNuTVvIG5OLXkGl6vALXSbaRJVN1CBBIwG2Qqm4gc56AnkDOKZaX8ENzrbxxahJNBIrTQyOGxlBjyxuwBjnGR/SqUlrqJPhkrpdwfsLbrgeZF8n7po/wC/zyQeO3vxU0EF/HqXiGdtNn2XQTyD5kXz7UCH+PjnnnHH5Uk5af5eQlKWmn4eX+Zet/EVncQ6fOI5kgvyqwSuowWZSwU85BwCOmMjr0pbzX7Sye8DLNItkqvdPGoIhBGRnJyeOeM4FYQsNUTw74ZtP7KnM1hLA06iSLgIhUkHfzknii9hku9S1hYNNvbu0uSkVz9lmiRXKqFZG8wg5xwSpxggZyKOedv67B7SdvP08v8AM6y2n+0w+Z5UkXJG2TGT78EjBpbm4S1tJriTOyJGdsegGah029g1CwjuLdHjjyyeW67WRlJVlI7EEEfhVGa7n1DVn0v+z7qKCF0kkupFAilUAMFQ55O7AIx0B9q1ctDZytFeZneBzPbWup6VeSF7myvX3EnqsgEgP4ljUGu6pc6hq+kWVk+2wk1BY5ZB1n2Auyr/ALI2gE9ycdjm9eeHrubxJNeW14LeyvbdY71VyJHKH5dp7ZBIJ6gDjnkJqthNH4i8NSWdkz2dmZ1cRBQIgY9q8EjjrWDUlDl7P9f8jncZqHJ0T/C/+R0lFFFdJ1hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWXeeItMsdSj0+4mlW7lBMUS28jGQAZO3CndgHnGcVqVxXieVofiR4NdIJJm8q/ASMqCfkj/vED9a6cJSjVqOMu0n22i3+hMnZHU2eq2N/NJDbzgzxAGSFwUkQHoSjAEA+uKls7611C3FxZ3MVxCWZfMicMuQcEZHoQRXPf2Pf3/jeDX3j+xQ2tk9tHG7BnlZjnLBSQFGOBnJPpWc3iPUbHwPf6pb22nJPY300DxJEyxyBZzGSAGypJ+bPNbfVIzsqTu3yrfZu+l+uy16dQ5u53NFYF1rN5pOraXbaitu9vqUpt0khBUwy7Syqck7gQrDPHI6c8ef+OPjNdeGvFk2j2GmQTxWpUTyTMwLkgHC46YzjJzmnhcsxOKmoUVe6vv0Tt+en/AFKairs9forg7b4u+F57aKYvdRl0DFDCSVyOnFS/wDC2PC3/Pe5/wC/Bry51acJOMmroz+s0f5kdvRXEf8AC2PC3/Pe5/78Gj/hbHhb/nvc/wDfg1P1il/Mg+tUf5kdvRXEf8LY8Lf897n/AL8Gj/hbHhb/AJ73P/fg0fWKX8yD61R/mR29FcR/wtjwt/z3uf8AvwaP+FseFv8Anvc/9+DR9YpfzIPrVH+ZHVWuk2dleXF3AkgnuMGVmmdt5HA4JI4AA+lXa4j/AIWx4W/573P/AH4NH/C2PC3/AD3uf+/BoVeitpISxNBbSR29FcR/wtjwt/z3uf8AvwaP+FseFv8Anvc/9+DR9YpfzIf1qj/Mjt6K4j/hbHhb/nvc/wDfg0f8LY8Lf897n/vwaPrFL+ZB9ao/zI7eiuI/4Wx4W/573P8A34NH/C2PC3/Pe5/78Gj6xS/mQfWqP8yO3oriP+FseFv+e9z/AN+DR/wtjwt/z3uf+/Bo+sUv5kH1qj/Mjt6K4j/hbHhb/nvc/wDfg0f8LY8Lf897n/vwaPrFL+ZB9ao/zI7eiuI/4Wx4W/573P8A34NH/C2PC3/Pe5/78Gj6xS/mQfWqP8yO3oriP+FseFv+e9z/AN+DR/wtjwt/z3uf+/Bo+sUv5kH1qj/Mjt6qNpls0skqiWNpTl/KmdAxxjJCkDPA568Vyf8Awtjwt/z3uf8AvwaP+FseFv8Anvc/9+DQ69F7yQniaD3kjsre3htYFhgjEca9FH5k/UnnNS1xH/C2PC3/AD3uf+/Bo/4Wx4W/573P/fg0e3pfzIPrND+ZHb0VxH/C2PC3/Pe5/wC/Bo/4Wx4W/wCe9z/34NH1il/Mh/WqP8yO3oriP+FseFv+e9z/AN+DWD4q+Nmm6ZpynRLdru8kbAFwhREHqe57ccfWunCQ+t1o0KLTlLZXBYmi9FJHqtFcZ8N/HL+OdFnuZ7Rba6tpfLlVDlGyMgjPP4V2dXiMPUw1WVGqrSW5smmroKKKKxGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXOar4dvtQ8U6XrUWpW8I00TLFC1oX3CRQrbm8wf3eMAfjXR0VpSqzpS5ob2a76NWe/kJq4jbijBCA2OCRkA/SvPPE+mSaB8OtbtrvUoJWu7pp4ysPlHdJN5jKAWbOMnHsK9EorXDYmVCae6TTt6edgauYR0g6vf6bqN5fQ3MFkTNbJbphHkKlRITuOcAnAHrnJ4xn+IPht4Y8Tauup6lZO11gB2jlZBKBwNwHXAGOMV1tFEMZXpyUqcnFpWVtNPkLlT3IYrS2ghSGGCKOKNQqIqABQOAAKf5Mf/ADzT/vkU+iuZ66sqwzyY/wDnmn/fIo8mP/nmn/fIp9FAWGeTH/zzT/vkUeTH/wA80/75FPooCwzyY/8Anmn/AHyKPJj/AOeaf98in0UBYZ5Mf/PNP++RR5Mf/PNP++RT6KAsM8mP/nmn/fIo8mP/AJ5p/wB8in0UBYZ5Mf8AzzT/AL5FHkx/880/75FPooCwzyY/+eaf98ijyY/+eaf98in0UBYZ5Mf/ADzT/vkUeTH/AM80/wC+RT6KAsM8mP8A55p/3yKPJj/55p/3yKfRQFhnkx/880/75FHkx/8APNP++RT6KAsM8mP/AJ5p/wB8ijyY/wDnmn/fIp9FAWGeTH/zzT/vkUeTH/zzT/vkU+igLDPJj/55p/3yKPJj/wCeaf8AfIp9FAWGeTH/AM80/wC+RR5Mf/PNP++RT6KAsM8mP/nmn/fIrH8R+E9G8VacLLVbUPGrb0ZDsZG6ZBH/AOqtuirp1J0pqdN2a6oTSZkeHPDOleFdM+waTbeTCWLsSSzOx7knrWvRRRUqTqSc5u7fVjStsFFFFQAUUUUAFFFFAH//2Q==) +![md5:d2f017d880fd6e05213386066b3dd228](d2f017d880fd6e05213386066b3dd228.jpeg) We commit to assigning each of person in \(\mathcal{M}\) their matched arc (in particular if there are no bad sets at all, the problem is already solved). Now we finish the problem by induction on \(n\) (for the remaining people) by simply deleting the arcs used up by \(\mathcal{M}\) . @@ -352,7 +352,7 @@ To see why this deletion- induction works, consider any particular person Quinn meaning the induction is OK. See below for a cartoon of the deletion, where Pip's arcs are drawn in blue while Quinn's arcs and scores are drawn in red (in this example \(n = 3\) ). -![](data:image/jpeg;base64,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) +![md5:9e8bdc23c023ab52d12571055117b15d](9e8bdc23c023ab52d12571055117b15d.jpeg) Remark. This deletion argument can be thought of in some special cases even before the realization of Hall, in the case where \(\mathcal{M}\) has only one person (Pip). This amounts to saying that if one of Pip's arcs isn't liked by anybody, then that arc can be deleted and the induction carries through. diff --git a/USAMO/segmented/en-USAMO-2025-notes.jsonl b/USAMO/segmented/en-USAMO-2025-notes.jsonl index cbb761b7228e4d9abb6452e0cd872d01c1f19e9d..426d32b77634297dadb17555ac98aa0fe1e85b26 100644 --- a/USAMO/segmented/en-USAMO-2025-notes.jsonl +++ b/USAMO/segmented/en-USAMO-2025-notes.jsonl @@ -1,6 +1,6 @@ {"year": "2025", "tier": "T1", "problem_label": "1", "problem_type": null, "exam": "USAMO", "problem": "Fix positive integers \\(k\\) and \\(d\\) . Prove that for all sufficiently large odd positive integers \\(n\\) , the digits of the base-2 \\(n\\) representation of \\(n^{k}\\) are all greater than \\(d\\) .", "solution": "The problem actually doesn't have much to do with digits: the idea is to pick any length \\(\\ell \\leq k\\) , and look at the rightmost \\(\\ell\\) digits of \\(n^{k}\\) ; that is, the remainder upon division by \\((2n)^{\\ell}\\) . We compute it exactly: \n\nClaim — Let \\(n \\geq 1\\) be an odd integer, and \\(k \\geq \\ell \\geq 1\\) integers. Then \n\n\\[n^{k} \\bmod (2n)^{i} = c(k, \\ell) \\cdot n^{i}\\] \n\nfor some odd integer \\(1 \\leq c(k, \\ell) \\leq 2^{\\ell} - 1\\) . \n\nProof. This follows directly by the Chinese remainder theorem, with \\(c(k, \\ell)\\) being the residue class of \\(n^{k - i} \\pmod{2^{\\ell}}\\) (which makes sense because \\(n\\) was odd). \\(\\square\\) \n\nWe can now stake the required threshold: \n\nClaim — The problem statement holds once \\(n \\geq (d + 1) \\cdot 2^{k - 1}\\) . \n\nProof. Suppose \\(n\\) is that large. Then \\(n^{k}\\) has \\(k\\) digits in base- \\(2n\\) . Moreover, for each \\(1 \\leq \\ell \\leq k\\) we have \n\n\\[c(k, \\ell) \\cdot n^{\\ell} \\geq (d + 1) \\cdot (2n)^{\\ell - 1}\\] \n\nbecause \\(n\\) is large enough; that implies the \\(\\ell^{\\mathrm{th}}\\) digit from the right is at least \\(d + 1\\) . Hence the problem is solved. \\(\\square\\) \n\nRemark. Note it doesn't really matter that \\(c(k, i)\\) is odd per se; we only need that \\(c(k, i) \\geq 1\\) .", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) USAMO 2025/1, proposed by John Berman \n"}} {"year": "2025", "tier": "T1", "problem_label": "2", "problem_type": null, "exam": "USAMO", "problem": "Let \\(n > k \\geq 1\\) be integers. Let \\(P(x) \\in \\mathbb{R}[x]\\) be a polynomial of degree \\(n\\) with no repeated roots and \\(P(0) \\neq 0\\) . Suppose that for any real numbers \\(a_0, \\ldots , a_k\\) such that the polynomial \\(a_k x^k + \\dots + a_1 x + a_0\\) divides \\(P(x)\\) , the product \\(a_0 a_1 \\ldots a_k\\) is zero. Prove that \\(P(x)\\) has a nonreal root.", "solution": "By considering any \\(k + 1\\) of the roots of \\(P\\) , we may as well assume WLOG that \\(n = k + 1\\) . Suppose that \\(P(x) = (x + r_{1})\\ldots (x + r_{n})\\in \\mathbb{R}[x]\\) has \\(P(0)\\neq 0\\) . Then the problem hypothesis is that each of the \\(n\\) polynomials (of degree \\(n - 1\\) ) given by \n\n\\[P_{1}(x) = (x + r_{2})(x + r_{3})(x + r_{4})\\ldots (x + r_{n})\\] \\[P_{2}(x) = (x + r_{1})(x + r_{3})(x + r_{4})\\ldots (x + r_{n})\\] \\[P_{3}(x) = (x + r_{1})(x + r_{2})(x + r_{4})\\ldots (x + r_{n})\\] \\[\\vdots\\] \\[P_{n}(x) = (x + r_{1})(x + r_{2})(x + r_{3})\\ldots (x + r_{n - 1})\\] \n\nhas at least one coefficient equal to zero. (Explicitly, \\(P_{i}(x) = \\frac{P(x)}{x + r_{i}}\\) .) We'll prove that at least one \\(r_{i}\\) is not real. \n\nObviously the leading and constant coefficients of each \\(P_{i}\\) are nonzero, and there are \\(n - 2\\) other coefficients to choose between. So by pigeonhole principle, we may assume, say, that \\(P_{1}\\) and \\(P_{2}\\) share the position of a zero coefficient, say the \\(x^{k}\\) one, for some \\(1\\leq k< n - 1\\) \n\nClaim — If \\(P_{1}\\) and \\(P_{2}\\) both have \\(x^{k}\\) coefficient equal to zero, then the polynomial \n\n\\[Q(x) = (x + r_{3})(x + r_{4})\\ldots (x + r_{n})\\] \n\nhas two consecutive zero coefficients, namely \\(b_{k} = b_{k - 1} = 0\\) \n\nProof. Invoking Vieta formulas, suppose that \n\n\\[Q(x) = x^{n - 2} + b_{n - 3}x^{n - 3} + \\dots +b_{0}.\\] \n\n(And let \\(b_{n - 2} = 1\\) .) Then the fact that the \\(x^{k}\\) coefficient of \\(P_{1}\\) and \\(P_{2}\\) are both zero means \n\n\\[r_{1}b_{k} + b_{k - 1} = r_{2}b_{k} + b_{k - 1} = 0\\] \n\nand hence that \\(b_{k} = b_{k - 1} = 0\\) (since the \\(r_{i}\\) are nonzero). \n\nTo solve the problem, we use: \n\n## Lemma \n\nIf \\(F(x)\\in \\mathbb{R}[x]\\) is a polynomial with two consecutive zero coefficients, it cannot have all distinct real roots.\n\n\n\nHere are two possible proofs of the lemma I know (there are more). \n\nFirst proof using Rolle's theorem. Say \\(x^{t}\\) and \\(x^{t + 1}\\) coefficients of \\(F\\) are both zero. \n\nAssume for contradiction all the roots of \\(F\\) are real and distinct. Then by Rolle's theorem, every higher- order derivative of \\(F\\) should have this property too. However, the \\(t\\) th order derivative of \\(F\\) has a double root of 0, contradiction. \\(\\square\\) \n\nSecond proof using Descartes rule of signs. The number of (nonzero) roots of \\(F\\) is bounded above by the number of sign changes of \\(F(x)\\) (for the positive roots) and the number of sign changes of \\(F(- x)\\) (for the negative roots). Now consider each pair of consecutive nonzero coefficients in \\(F\\) , say \\(x x^{i}\\) and \\(x x^{j}\\) for \\(i > j\\) . \n\n- If \\(i - j = 1\\) , then this sign change will only count for one of \\(F(x)\\) or \\(F(-x)\\) \n\n- If \\(i - j \\geq 2\\) , then the sign change could count towards both \\(F(x)\\) or \\(F(-x)\\) (i.e. counted twice), but also there is at least one zero coefficient between them. \n\nHence if \\(b\\) is the number of nonzero coefficients of \\(F\\) , and \\(z\\) is the number of consecutive runs of zero coefficients of \\(F\\) , then the number of real roots is bounded above by \n\n\\[1\\cdot (b - 1 - z) + 2\\cdot z = b - 1 + z\\leq \\deg F.\\] \n\nHowever, if \\(F\\) has two consecutive zero coefficients, then the inequality is strict. \\(\\square\\) \n\nRemark. The final claim has appeared before apparently in the HUST Team Selection Test for the Vietnamese Math Society's undergraduate olympiad; see https://aops.com/ community/p33893374 for citation.", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) USAMO 2025/2, proposed by Carl Schildkraut \n"}} -{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "USAMO", "problem": "Alice the architect and Bob the builder play a game. First, Alice chooses two points \\(P\\) and \\(Q\\) in the plane and a subset \\(S\\) of the plane, which are announced to Bob. Next, Bob marks infinitely many points in the plane, designating each a city. He may not place two cities within distance at most one unit of each other, and no three cities he places may be collinear. Finally, roads are constructed between the cities as follows: each pair \\(A\\) , \\(B\\) of cities is connected with a road along the line segment \\(AB\\) if and only if the following condition holds: \n\nFor every city \\(C\\) distinct from \\(A\\) and \\(B\\) , there exists \\(R \\in S\\) such that \n\n\\(\\triangle PQR\\) is directly similar to either \\(\\triangle ABC\\) or \\(\\triangle BAC\\) . \n\nAlice wins the game if (i) the resulting roads allow for travel between any pair of cities via a finite sequence of roads and (ii) no two roads cross. Otherwise, Bob wins. Determine, with proof, which player has a winning strategy.", "solution": "The answer is that Alice wins. Let's define a Bob- set \\(V\\) to be a set of points in the plane with no three collinear and with all distances at least 1. The point of the problem is to prove the following fact. \n\nClaim — Given a Bob- set \\(V\\subseteq \\mathbb{R}^{2}\\) , consider the Bob- graph with vertex set \\(V\\) defined as follows: draw edge \\(ab\\) if and only if the disk with diameter \\(\\overline{ab}\\) contains no other points of \\(V\\) on or inside it. Then the Bob- graph is (i) connected, and (ii) planar. \n\nProving this claim shows that Alice wins since Alice can specify \\(S\\) to be the set of points outside the disk of diameter \\(PQ\\) . \n\nProof that every Bob- graph is connected. Assume for contradiction the graph is disconnected. Let \\(p\\) and \\(q\\) be two points in different connected components. Since \\(pq\\) is not an edge, there exists a third point \\(r\\) inside the disk with diameter \\(\\overline{pq}\\) . \n\nHence, \\(r\\) is in a different connected component from at least one of \\(p\\) or \\(q\\) — let's say point \\(p\\) . Then we repeat the same argument on the disk with diameter \\(\\overline{pr}\\) to find a new point \\(s\\) , non- adjacent to either \\(p\\) or \\(r\\) . See the figure below, where the \\(X\\) 'ed out dashed edges indicate points which are not only non- adjacent but in different connected components.\n\n\n![](data:image/jpeg;base64,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)\n \n\nIn this way we generate an infinite sequence of distances \\(\\delta_{1}\\) , \\(\\delta_{2}\\) , \\(\\delta_{3}\\) , ... among the non- edges in the picture above. By the \"Pythagorean theorem\" (or really the inequality for it), we have \n\n\\[\\delta_{i}^{2}\\leq \\delta_{i - 1}^{2} - 1\\] \n\nand this eventually generates a contradiction for large \\(i\\) , since we get \\(0 \\leq \\delta_{i}^{2} \\leq \\delta_{1}^{2} - (i - 1)\\) . \\(\\square\\) \n\nProof that every Bob- graph is planar. Assume for contradiction edges \\(ac\\) and \\(bd\\) meet, meaning \\(abcd\\) is a convex quadrilateral. WLOG assume \\(\\angle bad \\geq 90^{\\circ}\\) (each quadrilateral has an angle at least \\(90^{\\circ}\\) ). Then the disk with diameter \\(\\overline{bd}\\) contains \\(a\\) , contradiction. \\(\\square\\) \n\nRemark. In real life, the Bob- graph is actually called the Gabriel graph. Note that we never require the Bob- set to be infinite; the solution works unchanged for finite Bob- sets. \n\nHowever, there are approaches that work for finite Bob- sets that don't work for infinite sets, such as the relative neighbor graph, in which one joins \\(a\\) and \\(b\\) iff there is no \\(c\\) such that \\(d(a,b) \\leq \\max \\{d(a,c),d(b,c)\\}\\) . In other words, edges are blocked by triangles where \\(ab\\) is the longest edge (rather than by triangles where \\(ab\\) is the longest edge of a right or obtuse triangle as in the Gabriel graph). \n\nThe relative neighbor graph has fewer edges than the Gabriel graph, so it is planar too. When the Bob- set is finite, the relative distance graph is still connected. The same argument above works where the distances now satisfy \n\n\\[\\delta_{1} > \\delta_{2} > \\ldots\\] \n\ninstead, and since there are finitely many distances one arrives at a contradiction. \n\nHowever for infinite Bob- sets the descending condition is insufficient, and connectedness actually fails altogether. A counterexample (communicated to me by Carl Schildkraut) is to start by taking \\(A_{n} \\approx (2n,0)\\) and \\(B_{n} \\approx (2n + 1,\\sqrt{3})\\) for all \\(n \\geq 1\\) , then perturb all the points slightly so that \n\n\\[B_{1}A_{1} > A_{1}A_{2} > A_{2}B_{1} > B_{1}B_{2} > B_{2}A_{2\\] \\[> A_{2}A_{3} > A_{3}B_{2} > B_{2}B_{3} > B_{3}A_{3\\] \\[> \\dots\\] \n\nA cartoon of the graph is shown below.\n\n\n![](data:image/jpeg;base64,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)\n \n\nIn that case, \\(\\{A_{n}\\}\\) and \\(\\{B_{n}\\}\\) will be disconnected from each other: none of the edges \\(A_{n}B_{n}\\) or \\(B_{n}A_{n + 1}\\) are formed. In this case the relative neighbor graph consists of the edges \\(A_{1}A_{2}A_{3}A_{4}\\dots\\) and \\(B_{1}B_{2}B_{3}B_{4}\\dots\\) . That's why for the present problem, the inequality \n\n\\[\\delta_{i}^{2}\\leq \\delta_{i - 1}^{2} - 1\\] \n\nplays such an important role, because it causes the (squared) distances to decrease appreciably enough to give the final contradiction.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) USAMO 2025/3, proposed by Carl Schildkraut \n"}} -{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "USAMO", "problem": "Let \\(H\\) be the orthocenter of an acute triangle \\(ABC\\) , let \\(F\\) be the foot of the altitude from \\(C\\) to \\(AB\\) , and let \\(P\\) be the reflection of \\(H\\) across \\(BC\\) . Suppose that the circumcircle of triangle \\(AFP\\) intersects line \\(BC\\) at two distinct points \\(X\\) and \\(Y\\) . Prove that \\(CX = CY\\) .", "solution": "Let \\(Q\\) be the antipode of \\(B\\) . \n\nClaim — \\(AHQC\\) is a parallelogram, and \\(APCQ\\) is an isosceles trapezoid. \n\nProof. As \\(\\overline{AH} \\perp \\overline{BC} \\perp \\overline{CQ}\\) and \\(\\overline{CF} \\perp \\overline{AB} \\perp \\overline{AQ}\\) . \n\n![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHLAcUDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo554ra3knmcJFGpd3PRQBkmpKwtTe51O/WxsPs7x2jrLd+axCluqR8A89HI9NvUNQBX8G+JLnxJDrEl1ai1ey1OWzWL+IKqqRu/2vm5rpa4TwKZoPF/jixuBGJVv4LlhGSV/ewKeM/7td3QAUUdKpyatYxuU+0pI46pFmRvyXJqoxlLZAXKKo/2hNJ/qNOuXH96TbGP1Of0o3arJ0is4R7u0h/LC/zqvZvr+Yrl6iqP2bUH+/qKr/1ytwP/AEItR/Z0p+/qd434ov8AJRRyR/mX4/5AXqKo/wBlxn711en/ALeXH8iKP7Jt+8t6f+32b/4qi0O/4f8ABDUvUVR/sqAdJ70f9vch/m1H9mY+5fXq/wDbXd/MGjlh3/AC9RVH7FdL9zVLg+0kcbD9FBpPL1RPu3NrKPRoWU/mGP8AKjkX8y/H/IC/RVD7TqMf+s09JB6wTgn8mC/zpf7VgTi4iuLf3kiO0f8AAhlf1o9lLpr6ahcvUVFBdW90u63nilX1jcN/KpahprRjCiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUVxcw2sRknlWNOmWOOfSmk27ICWqNjpGlaOZpLDTrKy835pmggWPfjuxAGe/Wk+1Xl1xaW/kx/wDPa5BGfonU/jij+zIT+9vZWumXnMxGxfov3R9cZ96vkS+JiPJ9F+Kfhn/hZVzo1h4TtbaR5nt01GERo8rrnlvlGFOO7V6wF1K45aSG0Q9ox5j/AJnAH5GvLrTwhp3iLU9W1b7LFbX99HFe2s6pgxh3mCZAx95FTd3JJ7811Xhqzd9OMdvfXFjqNqxjuYEwY1bqMxnK4IwQyBd3XjoKnCdO/Kk7Oz7rp6W8/wDgX3VKN+Wbs2k/LVX16r7mdP8A2RbPzcmS6P8A03csP++fu/pV2OOOJAkaKijoqjArGGoavZcXlil5GP8AltZHa34xuf5MT7Vcsta0+/lMMFyBcAZMEoMco+qNg/pWLrOWjYSw04rmSuu61+/t87F+iiigxCiiigAooooAKKKKACiiigAooooArT6dZ3L75baNpOz7cMPow5qH7BPD/wAet9Ko7JP+9X9fm/8AHqv0VaqSStcVih9rvbf/AI+bLzF/56WzbvzU4P5Zqe2vra7JWGZWdfvIeGX6qeRVioLiztrsDz4Vcr91ujL9COR+FO8HuregE9FUPs17a821wJ4x/wAsrk8/g45/MH606LU4jKsNwj2s7cBJuAx/2W6H8Dmj2b3jqFy7RRRWYwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmySxwxtJK6oijJZjgD8aq3F+ElNvbRm4uccopwE92bt/P0FNi08ySLPfSC4lByq4xHGf9lfX3OT9K0ULK8tBDftV1e8WUflxH/l4mU8/wC6vU/U4H1qWDT4YZPOctPcf89pTlh9Oyj2AFW6KTnpaOiCwVheLJWbSF02Jis2pyrZqV6hWyZGH0jDn6gVu1zZb+0fGM0nWHSoBCvp50uGb8Qgj/77Na4Ze/zv7Ov+X42CWwyBFi8TX0aKFRbG1VVHQANNxTdUsp1uE1TTlU30K7WiJwtzF1Mbe/dT2PsTmSP/AJGrUP8Arztv/Q560azpTcXf1/M666vJekf/AElGRo7yLFBPpTtc6VM21reZsS2hzggZ7A5BQ8jHHpW1eWFpqEQju7aKdAcgSKDg+o9D71hXiS6JfPq9ojPbSY+32yDJYDjzVH95R1H8Sj1ArWuXubqzhutJuYWyBIqtzHOpHTcOR7EfkamrRjBc0NYv8PL+v+AYQbp6xvp/WhENNvbPnTdTlVR0gu8zx/gSQ4/76x7U8a1dWnGp6ZKijrPaZnj/ABAAcf8AfJHvUun6gt/G+YpIJ4jtlhlGGQ/yI9CODVysUusWdCrKorzSfns/v/zuFlqFnqMRks7qKdQcExuDtPofQ+xqzWRd6RYXsommtwJwMLPGTHKv0dcN+tQiDWbH/j1vkvYx/wAsr0bW+gkQfzVj70+ZrdEulTl8EreT/wA/87G7RWMPEUNv8uqWs+nnvJKN0X/fxcgD/e21rRTRTxLLDIkkbDKujAg/QimpJ7GVSjOnrJad+n37D6KKKozCiiigAooooAKKKKACiiigApksUc8bRyxrIjcFWGQafRQnYDP+x3NnzYzb4x/y7zsSP+At1X8cj6VLb6hFPL5Dq0FxjJhlGCfcdmHuM1bqG4tYbuPy54w4ByOxU+oPUH3Fac6l8f3/ANb/ANaiJqKzt13p/wB/fd2v98DMqD3A++Ppz7GrsM8VxEssMiyRt0ZTkUpQa16DJKKKKgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKiuLmK0haaZ9qD8ST2AHc+1NJt2QEjMqKWdgqgZJJwAKzvOuNT4tmaC07z4w8n+4D0H+0fw9aVbaXUGEt8myAHMdqf0L+p9ug9zWjV6Q82Lcit7aG0hEUEYROvHUn1J7n3qWiiobbd2MKKKKQEF5dw2FjcXlw2yCCNpZG9FUZJ/IVi+HLaaDRo5bpdt5ds11cA9VeQ7iv/AAEEL9FFL4ob7WdP0Veft04aYf8ATCPDv+BOxD/v1qV1JclFLrLX5LRfjf7kT1MaP/katQ/687b/ANDnrRrOj/5GrUP+vO2/9DnrRrmht9/5nbW+Jekf/SUFYkb/APCMXvPGi3MnPpZysevtGxP/AAFj6HjbpksUc8LwyorxupV0YZDA9QRW1OajdS1T3/rv/Wxi0Xqzl1URaibK9hNszti3kLZSYegPZv8AZP4ZrO0u5k0a9j0a8dntZOLC4c5Jxz5LH+8B909wPUHO7c2sF5bvb3MSSxOMMjDINY1qTg9Hp08/6/Bku7WhLRUF1dQ2Fo085ZYYwNzBS20dMnHOB3PbrUsciSxrJG6ujgMrKcgj1BqL9Crq9h1ZkmhWXmtNa+ZYzscmW0by9x9WX7rf8CBrTopNJ7lwqTh8LsZgl1yx6i31OIf9sJv6ox/75qeHxFYPKsNy0ljcMcCK7XyyT6KT8rf8BJq5TJYY54mimjSSNhhkdQQfqDSs1sy3OnP44/Nafht9yRcorBGiLa86Xdz2GOkcZ3w/9+2yAP8Ad208ahq9lxeWCXkY/wCW1kcN9TGx/kzH2p89t0S8Opfw5X9dH/l+Jt0VQsta0/UJDFBcr54GWgkBjlX6o2G/Sr9UmnsYThKDtNWYUUUUyQooooAKKKKACiiigAqjNYMkzXNk4hnbl1P3Jf8AeHr7jn69KvUVUZOOwFW1vluHaGRDDcoMvCx5x6g9x7j9KtVXurOK7Rd+VkQ5jkQ4ZD6g/wCQaggvJIZltb7aJW4jlUYSX/Bvb8vanFS1j9wi/RRRWYwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiobq6jtIDJJk84VVGWdj0AHc00m3ZAJdXcdnD5kmSSdqIoyzt2AHc1Bb2kksy3l7gzD/VxA5WEe3q3qfyotLWRpvtl5g3JGEQHKwr/dHqfU9/pV6rbUFaO/cQUUUVmMKKKKACiiqOs6iNJ0a7vym8wxlkj7u/RVHuWIH41UYuclGO7AyLFv7R8S6nqJ5itsWFuf8Ad+aUj6uQp/65Vs1Q0XTzpej2tm775UTMsn9+Qnc7fixJ/Gr9dFaSc7R2Wi9F/nuSjGj/AORq1D/rztv/AEOetGs6P/katQ/687b/ANDnrRrmht9/5nbW+Jekf/SUFFFFWYla/sYNSs5LW4UmN8cqcMpHIZT2IOCD2IqHRtSn899J1Ngb+FdyS4wLmLoJAPUcBh2PsRV+qOqaaNQgQxymC7gbzLa4UZMT+vuCOCO4JFaQkmvZz2/J9/8AP/gCfc2ao2elxWF1LJayPHbyAlrYf6sPn7yj+HPOQOD1xnrFo2qnUYZIp4xBf2xCXMGc7W7Mp7q3UH+oIGnXPUpuMrS3QWT1EBBJAIyOo9KWs2/0r7ROLyzm+y36LtWYDKuP7rr/ABL+o7EVdtmna2jNzGkc+PnWNtyg+xwOKhN3swTd7NEtFFFMYUUUUAVrywtNQjEd3bRTqDkb1B2n1B7H3FVBpt9Z86bqcqoOkF5mdPwJIcf99Ee1alFJxT1NY1pxXLfTs9V9zM4a3dWnGp6ZLGo6z2mZ4/xAAcf984960bPULPUYjLZ3UU6A4JjcHB9D6H2NFUbvR7C9lE0sAW4AwJ4mMco+jrg/rS95eYP2M91y+mq+5/5/I16KwxDrNj/x63sd7EP+WV6Nr/QSIP5qT709fEUMHy6pbT6ef78o3Rf9/FyoH+9j6U+dddCXhpP+G+b03+7f8DZopkUsc8SywyJJGwyro2QR7EU+rOdq2jCiiigAooooAKjuLeK6haGZA8bdQf8APBqSimm07oDOinlsZltrxy8TnbDcHueyv/teh7/Xro0yWKOeF4pUDxuMMpHBFUYJZLCZLS5cvC52wTseT/sMfX0Pf69dGlNXW4tjRooorIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUdKAI5547aB5pWCxoMk1UtYJJ5hfXa7ZMYhiP8AyyU+v+0e/p0+rIR/adwt03/HpEcwL/z0b++fb0/P0rSrV+4uXr1/y/z+4W4UUUVkMKKKKACiiigArntdb7drmlaUOY0Y39wP9mMgRg/WQqw/65muhrmdEb7fe6nrJ5W5m8iA/wDTGIlR+BfzGHswrpw65eap2X4vRfq/kJ9jaooorMDGj/5GrUP+vO2/9DnrRrOj/wCRq1D/AK87b/0OetGs4bff+Z2VviXpH/0lBRRRVmIUUUUAZeqWM5mi1LTtq6jbghQxws8fUxMfQ9Qex59QdPTNSg1WxS6g3AElXjcYeNxwyMOxB4pax76KbSr5tZsY2kVgBfWyDJlQdHUf31H/AH0OOoXGqtVjyPdbf5f5ef4LbU6OmyLvjZNzLuBG5Tgj3FMtrmG8torm3lWWGVQ6OpyGB6EVLXK007MZl2k99Z3KWV+rXCNxDeRp972kA+63v90+x4rUoqnf3VzZiOaK1NxAM+csf+sUdio/ixzkdfTPQz8KJ+FalyiobW6gvbdLi2lWWJxlWU8VNTKTvqgooooAKKKKACiiigDMk0Kz81prTzLGdjkyWjeXuPqy/db/AIEDQJtcsfvLb6nEO4/czf1Rj/3zWnRU8q6aG3t5PSfvLz/z3/EpweItPklWC4Z7K4Y4EV2vlkn0Un5W/wCAk1q1TmhiuImimjSSNhhkdQQfqDWaNEFrzpd5PYY6RId8P/ftsgD/AHdtO8l5icKM9nyvz1X+a+5m9RWINR1az4vbBLuMf8trE4b6mNj/ACZj7VcstZ0/UJDFb3K+eBloJAUlX6o2GH5U1NPQiWHqRXMldd1r/wAN8y/RRRVGAVHPBFcwPDMgeNxgg1JRTTtqgKFrNLbz/Yrpyz4JhlP/AC1Udj/tDv69fXF+oLu1S7gMbEqQdyOvVGHQj3qOxunlDwXAC3UOBIB0YdmHsf05HarkuZcy+f8AmIt0UUVmMKKKKACiiigAooooAKKKKACiiigArOuyb65NhGSIVANyw9D0Qe57+31FWL66NtAPLUPPIdkSH+Jj6+w6n2BpbO1FpbiPcXcktI56ux6k1pH3Vzfd/mInVQqhVAAAwAO1LRRWYwooooAKgvLn7HZy3PlPKI13FIyoJHf7xA9+tT1ma9+80p7Udbt0tsd9rsFYj6KWP4UAR6H4jsvEeiNqmmpO6K0kbQOgSVZEJBQqTw2R3PcVPo+rLrNit5HaXVvE/wBz7SgUuPUAE8fXrXFXFy/g7x5qlvFhbbxFbNd2Snp9uQBWQD1cFG+oNd/aW0dnZwWsWfLhjWNc+gGB/KgDP8S301hoU7WrYvJttvbe0shCKfoCcn2Bp1jZw6dp9tZW4xDbxLEg9lGB/KqF+39o+LrS1HMOmwm6k9PNkykY/BRKfxU1r11yXJTjDvq/0/DX5k9QooorEZjR/wDI1ah/1523/oc9aNZ0f/I1ah/1523/AKHPWjWcNvv/ADOyt8S9I/8ApKCiiirMQooooAKKKKAMQv8A8IzetOONGuXzMva0kJ++PRGP3vQ/N0Jx03WqTosiMjqGRgQysMgj0NZOnTtoN5FpNy5awmO2wmY58s/88GP/AKCe446gZ1kvbK/2l+K/zX4rz3Wx0dFFFcgyOOCKEyGKJEMjb3KqBubAGT6nAH5VDa6jb3c00CFknhbEkUg2svocdwexHBq1VO90yC+eKVi8VxCcxzxHDr6jPcHuDkGk79CXdfCXKKY8scW3zJFTewVdxxknsPen0ygooooAKKKKACiiigAooooAKrXmn2eoRhLu2imUHK71BKn1B7H3FWaKGr7lRk4u8XZmWNOvrPnTdTlCDpBeAzp+DEhx/wB9Ee1PGt3NrxqemTRKOs9rmeP8gN4/75x71o0VPLbZmjqqX8SN/PZ/ev1uLZ39nqEXm2dzFOgOCY3DYPofQ1YrIu9HsL2Xz5IAtwOBPExjlH/A1wfwzUQh1mx/49r2O+iH/LK8G1/wkQfzUn3p8zW6JdGnL4JW8n/nt99jcqnfW0jFLq2A+1Q52jOA690P1/Q4NUl8RQQfLqdvPpzf35l3Rf8AfxcqP+BYPtWtFLHNGskUiyRsMqyHII9jVwqJO6MqlGcPiWn4fJ7Dba4ju7dJ4idrDoRgg9wfQg8VLWdJ/wAS6/8AN6WtywEnokh4DfRuh98eprRq5xS1WzMyhqOsWmmyQQSl5Lq4JEFtCu6SXHXA7Ad2OAO5FQpr0K6pb6dd21xZXF0rG3E+wrMVGWVSjMNwHODgkZIzg45zwRv1XxL4s127ybhNRfS7cH/llBDjgem5mLH14o8Yl9S8aeENHtOZ4LxtTuGH/LKGNGXJ9AzPtFQB3FFFFABRRRQAUUUUAFFFUNRdpfLsImIe4zvYdVjH3j+oA9z7VUY8zsA2y/026fUG/wBWAY7Yf7OeX/4ER+QHrWjSIixoqIoVVGAB0ApaJy5npsAUUUVIBRRRQAVl6ho73+pWV5/al7bi0fzEghEXlu21lJbchY/KxHBH581qUUAZ2qaHY6xLp8t5FvewuluoCP4ZACB+HP6CqXjLxTa+DPDF1rd3DJOkJVVij4LsxAAz269a3q5vxvBDqOgjRZYkl/tWdLUI4zhc73b6qiMwPqBV04OpNRXUTdjnvhj4rtvGWl6nq6RNDeTXzG4hZt2wBVCAHuAgUZwOd3FdzWFZeDfD2m2MdnY6XDaxx5KNCSkgJ6nzAd2ffNT/AGPVrPmzv1uox/yxvRz9BIoyPxDGqnUm3eSNo06clpKz8/8APX8bGtRWT/bq23Gp2c9j6yMN8X/fa5AH+9trThmiuIllglSWNuVdGDA/QikpJ7CnRnBXktO/T79jJj/5GrUP+vO2/wDQ560azo/+Rq1D/rztv/Q560aiG33/AJm9b4l6R/8ASUFFFFWYhRRRQAUUUUAFQXtnBqFnJa3Kb4pBhhnB9iD2IPII6EVPRQm07oDO0fUJ4rk6Pqcm+7jXdBORj7VEP4v98cBh9CODxuVj6npyalbKnmNDPEwkgnT70Tjow/kR0IJB61Jo2qvfJLbXcaw6jbYW4iB4Oejr6o2Mj8QeQaurBTXtI/Nfr6P8H8hLTQ1KKKK5hkN1aW99bPb3USywuMMrDj/9fvVbTrW8smkgluftNqAPJeTPmr/ssf4sdj19c9av0UrK9xOKvcKKy7yHULW6a9sXa4RsebZyNw2BjMZP3W9jwfY81owyedCkoV03qG2uuGGexHY0J62BSu7D6KKKYwooooAKKKKACiiigAooooAKKKKADrWY+g2YlaazMthOxyZLRvLyfVl+63/Aga06QsAwXnJ9uKTinuXCpOHwuxlTHWIYHhnjt9VtmUq239zNj6cqx/Fa4f4e/GJfF3il/D0mlyw7Y3MNyz5Zwn/PRcfKSOevXivS9hdf3gBDLhk6r79ua5XTtG07SPEmtazY6fbwTpMguGiiCl4mjUv09/m98H1q4XuoX3HP95FyslZXduuqXp16JGrdeErWS/uLq2mMK3UonuLZo1khll2bPM2kcNjHsSASCRmsf4djUZIJJ9R0S8sbzykjvbrUG3TXU6gD5OeIl5x0HzcDqT3AIIBByD0IpaDmCiiigAooooAKKKKAAnAyelUNNH2hpdQb/lvgRZ7RD7v58t+PtS6mxkjjskJD3TbCR2Tq5/Lj6kVdVQqhVAAAwAO1afDD1/L+vyELRRRWYwooooAKKKKACiiigArmy39o+MZ5OsOlwCBfTzpMO/4hBH/32a3b27hsLG4vLhtkFvG0sjeiqMk/kKxfDtrNb6NHJdLtvLpmurgekkh3Ff8AgOQo9lFdNFcsJT+S+e/4afMl72NWiiisxhWZNoNi8rTwK9ncNyZbVvLJPqwHDf8AAga06KTinuXCpOm7wdjk0GrWXiW+CmLUcWlvuLkQybd02MYG0nr/AHR0rRj12z8xYrrzLGZjgJdLsyfQN91vwJp0f/I1ah/1523/AKHPV+SNJY2jkRXRhgqwyD+FZRi0tH3/ADPQrVISkuePSOq06L5fgh3Wisr+wooPm024nsD/AHITmL/v22VH4YPvR9p1ez/4+bOO9jH/AC1tDtf8Y2P8mP0quZrdGPsYy/hyv66P/L8TVoqjaavY3kvkxzhZx1glUxyD/gLYP41eqk09jOcJQdpKzCiiimQFFFFABWbqlhNM8V/YMsepW2fKZuFkU/ejf/ZOPwOCOlaVFVCbg7oGN0vU4dVshcRKyMGKSwv9+Jx1Rh6j9eCODV2udv7efT706zp8bSSbQt3bJ1uIx3H/AE0Xt6j5fQjctLuC/tIrq1lWWCVQyOvQilVppe/D4X+Hl/l3+8SfQmooorAYVHOJjBILdkWbadjOpZQe2QCMj8akooAzrHVfPnNleRfZb9RkxE5Vx/eRv4l/UdwK0aaURmVmVSynKkjkfSql5qcOnzxLdK8cMvAuCP3at2Vj/DnsTx2zmlstWTflXvMu0UUUygooooAKKKKACiiigApGYKpJzgegzSBi2MDC85JyCD9CPrQqBTnq2ACxHJx/+s0wDDE8naAeMHOR78UqqqjCgAZJwB3PWlooAKz9JAOsa2CMgzR5H/bJa0Kz9I/5DOt/9dov/RS1D3X9dDaH8Op6f+3Itabm3MunsSTbkGMnvEfu/lgr+FX6z9R/0aWC/HAibZL/ANc2wCfwOD9Aa0K6Kmtpd/z/AK1ONBRRRWYwooooAKKKgvbj7JZTT43FFJVf7x7D8TgU0m3ZAV7X/SdSubo8pF/o8X4cufzwP+A1fqvY232SyhgJ3Mq/M395jyT+JyasVVRpy02BBRRRUAFFFFABRRRQAUUUUAc/4ob7W2n6KvP22cPMP+mEWHf8CdiH/frUrGsW/tHxLqeonmK3xYW5/wB35pSPq5Cn/rlWzXXVXLGNPtq/V/8AAsvkSu4UUUViMKKKKAMaP/katQ/687b/ANDnrRrOj/5GrUP+vO2/9DnrRrOG33/mdlb4l6R/9JQUUUVZiQXdla30XlXdvFOnUCRQcH1Hoao/2Vc2vOnajLGo6Q3OZ4/1O8f99Y9q1aKlxT1NYVpwXKnp23X3Myv7TvLTjUNOkCjrNaEzJ+KgBx/3yfrV20v7S/QvaXMUwHDbGyVPoR2P1qxVK70mxvnEk9uvnDhZkJSRfo64I/OlaS2dyualL4lb01/B/wCfyLtFZX2PVbP/AI9L5bqMf8srwc/QSKM/mrUf22tvxqVpPY/9NGG+L/vtcgD/AHttHOlvoH1eUv4b5vTf7t/uNWimRTRXESywyJJG3KujAg/iKfVGLTTswrElY+G72S9QH+ybh912g/5d3P8Ay2H+yf4h2+9/ezt0hAZSrAEEYIPetIT5dHqnuJotghlBBBB5BHelrm7CU+HbyPTZif7LnbbZyH/lg5/5Yk/3T/Af+A/3c9JWdWnyPTVPZgmFFFFZAFNkjSWNo5EV0YEMrDII9CKdRQBXsrKKwthbwbxEpO1WcttHoM9h2Han21zBeQLPbSpLE3R0OQalrMk0oxagL2wm+zSO4NxHtzHOO5I7Njow/HIparYl3jblWhp0UUUygopCwBAOeTgYGf8A9VN2lx+8xgghk6g/p/nNMBSxyVUZIxnOQMZ9cUbAWy3zEHK5A+XjHH6/nTqKLgFFFFIAooooAKz9I/5DOt/9dov/AEUtaFZ+kf8AIZ1v/rtF/wCilqXuv66G0P4dT0/9uRrSxpNE8UihkdSrA9wetVdLkdrPyZW3TW7GFyepI6H8Rg/jV2qH/HtrX+xdx/8Aj6f4qf8Ax2uiOsXH5/18jjL9FFFZjCiiigAqhffvruytOzOZnH+ymCP/AB4pV+qFv++1e8m7RKkC/XG5v/Ql/KtKel5dhMv0UUVmMKKKKACiiigAooooAKoa1qI0nRbu/wBm9oYyUj/vv0VR7liB+NX657XG+3a5pWlDmONjf3A/2YziMH6yEMP+uZrahBSqLm2Wr9FqJ7E2i6edL0e1s2fzJI0zLJ/fkPLt+LEn8av0UU5yc5OT3YBRRRUgFFFFAGNH/wAjVqH/AF523/oc9aNZ0f8AyNWof9edt/6HPWjWcNvv/M7K3xL0j/6SgoooqzEKKKKACiiigAooooAzZdDsnlaaBXs525Mtq3lkn3A4b/gQNMxrVn0MGoxD+9+5l/qrH/vmtWio5F00N1iJ2tP3l5/57r5MzI9ds/MWK68yxmY4Ed0uzJ9A33W/AmtOmyRxzRtHKiujDBVhkH8KzP7Dig+bTbiewP8AciO6L/v22VH4YNHvLzC1Gf8Adf3r/NfiX7u0gvrSW1uYxJDKu11PcVT0i+ntLv8AsXUpTJOFLWty3/LzGPX/AKaL39R83qAz7Vq1n/x82cd5GP8AlrZna34xsf5MfpUc8+ma/D9kW6aG7QiSIEGOeFx0cKwB4+mCMjkGtadWDXs57P8AB91+vf7iZYeaXNHVd1r9/b52OkorJ0bVJLvzbK+VY9StsCZF+7Ip6SJ/stj8DkHpWtWU4OEuVmSCiiioAKKKaGLYKjjJBzkEY/DmgCrqNmLy2x500EkZ8yOWEncrAen8X0IINMsJNQdZIb+JY5IiuJ4SNkw9QDyvTkH14J61dVANpPzMBjeQMmnUWV7onl1uIFVc7QBk5OB1NLWVdX13pdy8t2om01jnzo1+a3/3x3X/AGh07jHNaisrorowZWGQQcgikpXGpJ6C0UUUxhRRRQAUUUUAFZ+kf8hnW/8ArtF/6KWtCs/SP+Qzrf8A12i/9FLUvdf10Nofw6np/wC3I2aoasClmLkfetXE34D73/jpar9NdFkRkYZVhgj1FbQlyyTOQcCCMjkUVS0l2bTYkc5eHMLE9yhK5/HGfxoolHlk0BdoooqQCqOkfNp6z97h2mz7MSR+mKfqcrQ6XdSJ98RNt/3scfrip4Ilgt44V+7GoUfQDFabQ9X+X/Di6klFFFZjCiiigAooooAKKKKACuZ0Nvt95qesnkXU/kwH/pjESq/gW8xh7MKv+Jr6ax0Kc2rYvJyttbH0lkIVT+BO4+wNPsbOHT7C3srddsNvGsSD2UYH8q6qa5aLl/Np8lq/xt+JL3LFFFFZDCiiigAooooAxo/+Rq1D/rztv/Q560azo/8AkatQ/wCvO2/9DnrRrOG33/mdlb4l6R/9JQUUUVZiFFFFABRRRQAUUUUAFFFFABRRRQAVXu7G1vovLu7eKZByBIoOD6j0NWKKTV9GVGTi7xdmc9eeHLhJobzSdRmhurbJhS4YyxkHqhJ+bacAEZIHBAyBVjTPFE1zbNJfaVPC0TmOY2/77ynHUMo+cdjwCMEEEjmtmsjUreeyu11jTo2e5UBLi3X/AJeY/T2cclSfcHg5FxgprkvZ9O3p6fqaOvf+Ir/g/vW/zubNnqFnqEZezuYp1HDbGBKn0I7H2NTsx5CjLAZAOQD+OKyVtNK8Q28GoqisXBMc8RKSAdMbhhlI7jIweD0oWx1WwULZXsd1CowILxcED0EiDj8VauZ80HaSHyUp/BK3k/8ANfqkaxQHO75hkEAgcY9P506sj+3ktuNUtJ7A95HG+L/v4uQB/vba1IZoriJZYZEkjYZV0YEH6EUKSZE6U4ayWnfp9+w+iiimZhUNzJLDbPJBAZ5FGREGClvYE8Z/zxU1FAMq2GoW+owGW3c/Kdrow2vG3dWU8g1aqv8AYrYX320RAXJTyzIpILL6H1x2z05x1pTe2wvhZGUC5KeYsZ4LLnGR64746cetJabkptL3ieiiimUFFFFABWfpH/IZ1v8A67Rf+ilrQrP0j/kM63/12i/9FLUvdf10Nofw6np/7cjZooorQ5ChaHydRv4CcAsky/Rhg/qhP40VjeKxeRzW0tkPmdWV/oCMfzNFehDB+2ipqSV/00IcraHUUUUV55ZR1X5reGL/AJ6XES/gGDH9AavVRvfmv9OT0lZz+CMP5sKvVpLSMV/X9aCCiiisxhRRRQAUUVWu9RsbAoLy8t7cvnb50qpux1xk0AWaKow63pNxKsUOp2UkjnColwhJPsAausyopZiFUDJJPAFAHO37f2j4utLUcw6ZCbqT082TKR/kolP/AAJa16xfDW65sZtWkBEmpzG6GeojICxD/v2qfiTW1XZX92Sp/wAunz6/jcldwooorAYUUUUAFFFFAGNH/wAjVqH/AF523/oc9aNZ0f8AyNWof9edt/6HPWjWcNvv/M7K3xL0j/6SgoooqzEKKKKACiiigAooooAKKKKACiiigAopu4k4UdDhs5Hbt60BACCfmYZwxAyAT0/l+VACZZwcZVSAQ3f8iPpTgoBJAALHJwOppaKAMW4LeHr2TUoVJ02dt19Eoz5Tf89lH/oQ9Pm6g56NHWRFdGDIwyrKcgj1FViMjBrFtJP+EbvEs3P/ABKLh9tux6WshP8Aqz/sMfu+h+XoVrVr2y/vL8V/mvxXnutjpazJtAsWlaa3WSyuGOTLaN5ZY+rAfK3/AAIGtOiuNpPc0hUnDWLsZGNcsuhg1KIev7mb+qMf++afFr9kZFhujJYzscCO7Xy8n0Vvut/wEmtSmSxRzxtHLGskbDDK4yD9RS5Wtma+1hL44/Nafht+CH0Vk/2DFb/NplzPp5/55xHdF/37bKj/AIDg+9J9r1iy/wCPqyjvYx/y1sjtb8Y3P8mJ9qOZrdB7GMv4cr+uj/y/E16q3+n22pQCK4QnadyOp2vG3ZlYcg1HZ6xYX0phiuALgDJglBjkH1RsH9KvU9JIxqU5R92at6kNpFNBapFPcG4kXgylQpbnjIHGcY6fp0qakZQylWAKkYIPQisq2sbrSrhIrRvO01jjyZG+a3/3Ceq/7J6djjijYzb5bK2hrUUUUygrP0j/AJDOt/8AXaL/ANFLWhWfpH/IZ1v/AK7Rf+ilqXuv66G0P4dT0/8AbkbNFFFaHIMeJJMb1Bx0op9FO7QBRRRSAozfNrlmPSCZv1jH9avVRbnXo/a1b9WX/Cr1aT2j6fqxIKKKKzGFFFFABXBfEOWO61rwlo0kUkqTaj9tmWOIyExwLuxtAJwWZBXe1yS6LrcnxEXxBcQ6f9iisTZQxrdOXTdJuaTBjxkgKMZ7daALtqLTxTBHeNZNClpf7rdpodshMR2k4PK/MHH0HvXGfFP4oaZ4buP+EYlguXlvIl+0zxYAhhdsNjuW2hsDjqOa9RVFQYRQoyTgDHJOSfzrhdY8LaH4w8by3WqabDdJpMMdurNkbpW/eENg/MFUpgHI+c8VrRUubnj9nX8f8xM3rDW9GvGit7HULSViv7uKOVScAdh16VdnuILWPzLiaOFM43SMFGfqayG8MWluxfSZ7jSnznFowERPvEwKfiAD70ySXXbNdl7YW2rW46va4jk/GJztP4P+FbeyUl7k0356frb8fkReSWprw6hZXDhIbuCRj0VJASfyNWCQBzWHp+p6Dc3ixRJDbX46QTweRMPXCsAT9Rke9a1zaW17AYLq3iniJBMcqBlP4Gs5QqQ0mrMabsTUVnW+g6PaTpPbaXZQyocq8UCqR9MCrlzbQ3lu0E6bo2xkZI9+1Qr21Gr21JaKzoNC0+2nSaKOVXQ5H+kSEfluwauXEC3MDwu0iq3UxyMjD6MpBFCvbUFe2plx/wDI1ah/1523/oc9aNc/baVHD4ru9tzekR2tu4D3Ltu+ebg5JyOOnufWtyeIzQvGsrxFhjfHjcv0yCKzg3Z38/zOuq5XV10j/wCkokorNj0u5jlR/wC2tQZVIJRhCQw9D+7zj6Gr8yPJC6RyGJyMBwASp9cHiqTfYyTb3Q+isxLLU0dSdX3qCMq1svI+oxWjKJDE4iZUkIO1mXcAexIyM/mKE2+gJt9B1FZiw66GG6+051zzizdT/wCjTWi+/wAtvL278Hbu6Z7ZoTv0BNvoOorLD68DzBprD/rs6/8AsprTYsEJUAtjgE4BNCdwUri0VlNe6ygy2kwHkD93eE/+yCtL5yMkYIOdqnO7jocj/OKadwUk9hS2DgDLEEjrj86Cm77/ACCB8pwQCP8AP6VmLqN6gx/YF5j0jlg/rIK1FJKglSpIzg9RQpJ7CUkxaKy/7aIPzaXqS/8AbEH+RNaSNvjV8MNwBwwwR9RSUk9hqSew6isxtfslYho79cHGTp8+Pz2YrRjkWWJJEztcBhuUg4PseRQpJ7MFKMtmOqK5tobu2ktriNZYZVKOjDIYHqKov4h0mN2SS+iRlOCHyMH8a0IZo7iFJoXV43G5WU5BFOM1f3WJSjLRMztJvJtPvF0XUJWkJBNlcucmZB1Rj/z0Uf8AfQ5/vY365zUrrRdRgks59TtUkVsqyXCiSGRTww54YGrWhau16Hsrx4zfwKCzR/cnToJU9j3HY5HoTpUUaqdSO/Vfr/n2froKS2TNmimCaIsVEibhwRuGRT65igooooAr3lhaahEI7u2inQHIEig4PqPQ1Q/sm7tOdN1KVFHSC6zPH+BJDj/vrHtWvRScU9TWFacVyp6dnqvuZkf2reWnGpaZKqjrPaZnT8QAHH/fJHvV6z1Cz1CMyWdzFOoOD5bA7T6Edj7GrNUbzR7C+kEs1uBOBhZ4yUkX6OuGH50rSW2pfNSl8S5fTX8H/n8h1/HesiSWEyLLGcmKQfJKPQnGVPoR+INOsb0XsTMYZYJUbbJFKuGRv5Ee4yDVL7Hq9l/x6XyXkY/5ZXow30Eij+asfej+3ktuNUtZ7A95JBvi/wC/i5AH+9tpc1nd6E/VpN3pvm9N/u3+7Q16z9I/5DOt/wDXaL/0UtR2+tRPdi3uAkfmsfssyOHinXttb+9jqv5ZFSaR/wAhnW/+u0X/AKKWi6bVv60FTd4VPT/25GzRWdrmoz6VpUt5b2q3Tx4/cmXYXzwApwcsSQADjr1o0DWItf8AD2n6vChjjvLdJgjHJTcM4J9ulanKaNFcvpviq81zUNUg0rS4pLfT51gNxcXRjErFA52gI3QMOvqKKAOoooooAo/8x4f9e3/s1Xqotxr0X+1av+jL/jV6tJ9PQSCiiisxhRRRQAUUUUAQXt5Dp9hcXtw22C3jaWRvRVGT+grF8O2s1to0T3S7by5Zrq4HpJIdxX/gOQo9lFL4nb7W+naKvP22cPMP+mEWHf8AAtsQ/wC/WpXUlyUUv5tfktF+N/uRPUKKKKyGV72ws9RtzBe2sNzCf4JkDD8jWX/YFxZc6PqtxagdLe5zcw/kx3geysB7VuUVrCtOCsnp23X3PQVkYf8Aa+qWHGqaQ7xjrc6cTOv1MeA4+gDfWr+n6vp+qqxsbyGcpw6q3zIfRl6qfYirtZ+oaJpuqMr3dpG8yfcmXKSp/uuuGX8DV81KXxK3p/k/80GpoUVh/wBm6zp/OnaqLqIf8u+pLu/ASrhh9WD0f8JGbPjWdOudPx1mA86D670+6PdwtHsHL+G+b03+7f7rhfuPj/5GrUP+vO2/9DnrRrkNN8a+HNT8fXunWWrQXFy9rCiLHkq7IZWYK2MHAYHg/wAjXX1yRTV0+7/M7KrTaa7L8kFFFFUZBRRRQAUUU0sckKMkEZzkDH1oAdXlXxX0nx1ql/pMvhWW7Foq/OltP5LLLnhmyRkYx9MHPWvUmCopeRgQuW3Nj5f8iuY8P3s/i+B9Zkmng0l5GSxgido2kRSR5rsMNyQcLkADrknhMGdBp0VzFp1qL1ke9EKLcSIMB3A+Yj2zmrVcrYahNZfEG68OefLPayaauoRea5doW8wxsu48kHgjJOOe3TqqACiiimAUUUUAFFFFABRRRQBG9vDJ9+GNs/3lBqlqWmfaYoZLNltr21Ja2lC8Ke6sB1RuhH49QDWjRThJwlzILIy9OttF1yGSW40ayW9Ryl1DLAjNHJ1OTjkHOQe4INbVvbQWkCQW0McMKcLHGoVV+gHArE1K0uIbldW01Q17Eu2SHOBcxddh/wBoclT2PHQmtewv7fU7KO7tXLRSDuMFSOCpHYg5BHYilVpRX7yC0f4Pt/l/wGTGKT21K0+gaXcTvNLaKZXOWYMQSfwNXba2is7dYIFKxrnALFu+ep5qWisFFLVIajFO6RnXGiWtzO8zTX6O5yfKv5kX8FDgD8qt2tstpAIUeZ1BJ3SytI35sSamooUUndAoxTukZ9zpb3Fw0q6nfwbv4InXaPoCpqzaW720HlvczXBznfNt3fT5QB+lT0UKKTuCik7mfdWN7NO0kGrT26HGIlijZR+a5/WrFpDPBCUuLo3L5zvZAvHpgVYpAylmUMCV6gHpRZXuCik7nH+JdAtsSTJd21gkxCiOK0Z3lft8quBIc8jKnGPauM+GGjfEGz+JOrza9dzSWKhlumknDpM5AMZRQeOMHpwOOOlerQaXFFfSX0rvPcuSFkkwfKQ/wIOgH6nuTTdI/wCQzrf/AF2i/wDRS1EY8sr23NFz1IzlN7LTr1S/XYm1T9/d6dZ9RJcedIO+yMbgf++/L/OuT8Cyovg0aPI4WPTLi7gvGPRI455AF/EAfgD04rrn0Oxk1pNXb7SbxEKK32uUIFOMjy92zB2qTxyQDUc/hvSZ9Pu7A2zR215LJNcLBM8Rld87yxQgnOemcdPQVsc5jfDWJz4Ni1KZSs+rzzalID/01csv/jmwfhRXR6bp1tpOnw2NmsiW0KhI0eVpCqgYABYk4A96KALdFFFAFGf5dbsm9YZk/VD/AEq9VG++W906Tt5zIfoY2/qBV6tJ/DH0/ViCiiisxhRRRQAUUVQ1rURpOi3d9s3vDGTHH/fc8Kv1LED8aqEXOSjHdgZNg39o+JNU1I8xW5Fhb/8AAPmlI+rnaf8ArnWzVHRtPOl6Pa2bPvkjT97J/fkPLt+LEn8avV0VpJz93ZaL0X+e5KCiiishhRRRQAUUUhIUEkgAckmgDmdM1vVNQ8ZaxpINn9i0zyt8oibe7SKWCD5sAgYyffoKNG1vVNT8Va1pzGz+w6XLHEZkiYNKzpuKj5sDblcnnOegrF8B2Meo6Ff+JJ7u6g/ta+uLz93MUAiDFUz/AMBQVd+F0DHwf/akm/zdWu5r9i5y2HbCZPf5FWkBz+nfCvRIPihqWpRXN7G0Ucd7EkbhRHJM0wbBx0Gzge/Oa7s2+tWX+rlg1GIfwyjyZf8AvoDax/BfrTbT/kdtW/7B9n/6Mua260r0oqStpovyTNaVaUFaya81/T+5mIuuWqOI71ZbCUnAW6XaCfQPyh/A1pgggEHIPepnRJEKOqsjDBVhkGsmTQLaANJp8s+nsOdtscxn/tmQV/IA+9Y2kvM2UqM/7r+9f5r8TQpCQCBzz7VmM+tWnE9tFexA/wCstCEkI9434/JvoKltNWsLiX7OkgiuOT9nmQxSe52tgn6ijmWzG6Mrc0dV5a/8FfOxc2l1/eAYK4ZOq+/bmn0UVRiVdTtDqGk3lkr7DcQPEH/u7lIz+tc34Tvk0Xwdp+m31tcQ39hAtvJbJAzM7IMZTA+cHrkcc845rrqKQHMeG9Fu01jUvEerII9Q1DbHHbhg32W3T7qZHBYn5mxxk8dK6eiigAooopgFFFFABRRRQAUUUUAFFFFABWLdCTQr2TVrZGezlOb+BBkjt5yj1A+8O4HqOdqirhPleuqe6BosRSxzxJLE6vG6hkdTkMD0INPrmoZP+EavBE3GjXMmEPa0lY9PaNieP7pOOhGOlrOrT5Hdap7f137/AOQJhRRRWQBRSMwVSxzgDPAyayrZtQ1K5S5k8yyskOY4CMSze7/3R/s9fXHSk3YTlbQtahHfTIkNlLHAHJEk7DLIv+yuMEn1PA9D0p9jYW+nQGK3Qjcdzux3NI3dmJ5J96s0UWV7hyq9wrP0j/kM63/12i/9FLWhWfpH/IZ1v/rtF/6KWk91/XQ3h/Dqen/tyNmiiitDkCiiigAooooAo6t8trHL/wA8p4n/AA3gH9CavVW1GE3Om3MK/eeJlX644/WpLWcXNpDOvSVFcfiM1o9YL1F1JaKKKzGFFFFABXO6432/XdK0ocxxMb+4HsnEYP1chh/1zNdFXM6G32+71PWTyLqfyYD/ANMIiUX8C3mOPZxXTh1y81Tsvxen+b+Qn2NqiiiswCiiigAooooAKhurO2vrdre8tobiFvvRzIHU/UHipqKAM5NA0aOwawTSLBbNjuNuLZBGT67cYqxZafZaZb/Z7Czt7SDOfLgiWNc+uAMdhVmigDEtP+R21b/sH2f/AKMua26w7bd/wmur7QCf7Ps+Ccf8tLmtrYCct83ORkD5eO3+e9dGI+Nekf8A0lCQBixGB8vIJOQc/TH1oVAvPVsAFiBk49fzP506isBhUF1ZWt9D5N3bxTx9dsiBh+tT0Umr7jjJxd07Mxzos1tzpmozQAdIZ8zxfqdw/BgPamG+1Cz4v9NdkH/LeyJlX8VwHH4A/Wtuio5LfDodCxLf8Rc35/ev1uZ1nqFnfqxtbmOXbwwVuVPoR1B+tWaivdJsNQYPc2yNKv3ZVysi/Rxhh+BqmdO1O05stQFwg/5Y3oyfoJF5H4hqXvLdFJUp/DK3k/8ANfqkaNFZZ1g2vGp2U9njrLjzIv8Avteg/wB4LWhBPDcxLLBKksbdHjYMD+IpqSewp0pwV2tO/T79iSiiiqMwooooAKKKKACiiigAooooAKKKKAGTQxXMEkE0ayRSKVdGGQwPUEVm6XdS6VeJo17IzxPn7BcuclwBnymP99R0P8QHqDWrVa/sINSs3trgNtbBDKcMjA5DKexBwQa0hJW5J7P8PP8ArcTRqVR1DVIrDZEEee7l/wBTbRcu/v7Ad2PArM0PXmuL6XRbxhJqNqD5k0eNkijGGxnhjuGV7HPYjO8IYhO0wjQSsoUvtG4gZwM+nJ/OuapFxdkxX5l7rGWhuTaobxYlnPLrESVHPQE9eO/f2qaiikUtAooooAKz9I/5DOt/9dov/RS1oVn6R/yGdb/67Rf+ilqXuv66G0P4dT0/9uRs0UUVochFPcxW+3zG27ulFc74otrq/uYILRyrQoXfA7McD/0E0V30cLSnBSlOzJcnc6eiiiuAoKo6T8lm1v3t5Xix7A5X/wAdK1eqhD+51q5j/hnjWZfdh8rfpsrSOsWvmIv0UUVmMKKKKAMjxNezWWhT/ZW23lwVtrY+ksh2qfwzuPsDUllZw6fYW9lbrtht41iQeiqMD+VZ9839o+L7W2HMOmQm5k9PNkykf5KJT/wJa1665Lkpxh31f6fhr8yeoUUUViMKKKKACiiigAopGIVSxzgDPAzSHcxxnavBBHU88jBH+c9qYClgCBzyccCkAZsFuOCCo5B/T/OaUKFJIAGTk4HU0tAGHZgL411UAAAafZgAf79zW5WJaf8AI7at/wBg+z/9GXNbdbYj416R/wDSUJBRRRWAwooooAKKKKACiiigArMuNBsJpWnjja1uG5M1qxjYn3xw3/Aga06KTinuXCpOm7wdjFMGtWX+rkg1GIdpB5Mv5gbWP4LSLrlqjrFerLYSk4C3S7AT6B+Vb8Ca26a8aSoySIrowwVYZBFTyNbM3VeMv4kfmtP+B+HzIQQRkHINFUG8P28JLadNNp7f3YG/d/8Aftsr+QB96YZNZsv9faRX0Y/5aWp2P+MbHH5N+FLma3RShCf8OXyej/y/E0qKo2ur2N1N5CzeXcd4JlMcn/fLYP4jir1UmnsROEoO0lYKKKKZAUUUUAFFFFADZJEijaSR1RFGWZjgAepNRTxLe2jRrM6JKo/eQvg49j7juPwqpLpj314ZL+RZLaNgYbVR8mR/E/8AeOeg6D3PNaVSrvclXd7rQy7rRIWsoIrHbZz2p32sqL/q275HcHow7g+vNXtH1T+0oHWWPyL23by7m3Jzsb1B7qRyD3HvkCasvU7KcTx6ppwH2+BduwnC3EfUxsf1B7H2JB2jacfZy+T7eXp+W/cdrbG/RVXTtQg1SyS6ty2xshlYYZGHBVh2YHIIq1XPKLi2nuMKKKKkArP0j/kM63/12i/9FLWhWfpH/IZ1v/rtF/6KWpe6/robQ/h1PT/25GzRRTJpUghklkOERSzH0AGa0WpyFOx/e31/cdjIsKn2Qf8AxTNRT9LiaLTYBIMSODI4/wBpjuP6k0VdR+8/62Ei5RRRUDCqGo/uZbS77RS7H/3X+X+e0/hV+obq3W6tJrd+FkQqSO2R1q4NKSbBk1FVdPuGubGKSTiUDbIPRwcMPzBq1UyTi2mAUjMqIzuwVVGSSeAKWsHxbI0mlR6XExEuqTC0BB5CEEyn8I1f8cVdKn7Saj3E3ZFfw0GuLCbVpARJqczXXI5EZAWIfhGqfjmtqkRVRFRFCqowAOgFLWtWfPNy/ryBaBRRRWYBRRTWYjIUZbBIByB+dMB1N3EkbRxnBzkfl60FAxO75hwQpAwCKdQA0IBgn5mAxuIGf88U6iigAooopAYlp/yO2rf9g+z/APRlzW3WJaf8jtq3/YPs/wD0Zc1t1viPjXpH/wBJQkFFFFYDCiiigAooooAKKKKACiiigAooooAKKKKAILuytb+Hyru3inj67ZEDAH15rOOiz23OmajNCB0huMzx/qdw/Bse1bFFS4J6msK9SCsnp23X3PQxDf39nxqGmuUHWezJmX8VwHH4A/WrVpqFnfqWtbmOXbwwVuVPoR1B+taNUr3SbDUGD3FsrSrwsy5SRfo4ww/A0uWS2dzVVaUvijb0/wAn/n8iWis46dqlpzZX4uUH/LG9GT9BIvI/ENWUPFEs0qKLVrW3SQrPeuplg4PIRl4Oem5sAe54qXUUfi0B09uR81+i3+7f9PM3L64uIIV+y2puJ3baq7tqr7sewHtk02wtJrZXe5unuLiUgu3RF9kX+Efqe5NWIZ4rmJZYJUljbkOjBgfxFSVVru5k4WlqFFFFUMKKKKAMe8jl0e9fV7ONpIXx9utkGS6jjzVH99R1H8QGOoFb8E8V1bxzwSLJDIodHQ5DA8gg1BWKr/8ACM3hfpo1zJlx2tJWP3vaNief7pOehONbe2VvtLbzXb17fd2FsdLRRRXIMKz9I/5DOt/9dov/AEUtaFZ+kf8AIZ1v/rtF/wCilqXuv66G0P4dT0/9uRs1Q1X95BFaDrcyrGR/s/eb/wAdBH41fqgn+k61I/VLWPyx/vtgn8gF/M10U9Hzdv6/M42X6KKKzGFFFFABRRRQBQh/0XVp4OiXK+cn+8MBx/6CfxNX6panG/2dbiJS0ts3mqB1YD7y/ipI+uKtxyJNEksbBkdQykdwelaT1SkIdXNhv7R8Y3EvWHS4Rbp6edJh3/JBH/301bt9eQ6fYXF7cNtgt4mlkb0VRk/yrF8O2s1to0T3S7by5Zrm5HpJIdxX8M7R7KK1orlhKfyXz3/DT5ie9jVooorMYUhYKMnPXHAzTctIvy5VWXhujA/Qj+dOCgEkAAk5OB1NMBAGOCTtwTwDkEdu1KqqihVAVQMAAYAFLRQAUUUUgCiiigAooooAxLT/AJHbVv8AsH2f/oy5rbrEtP8AkdtW/wCwfZ/+jLmtut8R8a9I/wDpKEgooorAYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFQ3V3BZWz3FzKsUSD5mY/559qV7mCO4jt2lUTSAlI88kDqcelRzWFvcXcN1NHvkhz5e4kqhP8AEB0z79aTb6CbdtBbK5a7tlna3lgDE7UlADY7Ejtn0PPrU6qqKFUAKBgADgUtFNAjMn0GwllaeJGtLhuTNat5bE++OG/4EDUBh1qy+5JBqMQ7P+5l/MfKx/Ba2qKlwXTQ6ViZ2tL3l56/juvkzFTXLRZFivBLYTE4CXa7AT6Bvut+BNaQORkdKmkjSWNo5EV0YYKsMgj6VlN4ft4Tu02ebT2/uwNmL/v22VH4AH3pWkvMtSoz7xf3r/NfiX6KzTLrFl/x8WkV9GP+Wlodj/jGxx+TH6VJa6vY3cvkJNsuO8EymOQf8BbB/GlzLZjdGVuaOq7rX/hvnYvU2SNJonilRXjcFWVhkMD1BFOoqzEydNuH0W8j0i6dms5Tiwnc5I/6YsfUD7p7gY6jnoazL6yg1GzktblN0bjnBwQRyCD2IOCD2IqDR9RnWdtJ1Jw19Eu6ObGBcxdN4/2hwGHY89CK0qR9qudb9f8AP/P7/RbaG1WfpH/IZ1v/AK7Rf+ilrQrP0j/kM63/ANdov/RS1xvdf10N4fw6np/7cjVuJ0traSeQ4SNSzfQVBpsDw2SecP38hMkv+8xyR+HT8Kivf9KvLexHK58+b/dU/KPxbH4Ka0K6H7sEu5xhRRRWYwooooAKKKKACs+w/wBFuJtPPCr+9g/3CeR/wE8fQrWhWXr08Wnac+ryyLEtgrTu7HA8sD5x+I/UCtIO/uvqJlLxO32uTTtFXn7ZP5k4/wCmEWHb8C3lofZ61a4/wn4o0nxpruq6vplz50VuqWkKsjKVTG9mII43M2Pfy663ZvB8zBDKAU6gfp/nFbzsoxguiv8AN/8AAsvkJC7iSQozg4Ocj8vWgIMgt8zAnBIGRmnUVkMKKKKQBRRRQAUUUUAFFFFABRRRQBiWn/I7at/2D7P/ANGXNbdYlp/yO2rf9g+z/wDRlzW3W+I+Nekf/SUJBRRRWAwooooAKKKKACiiigAooooAKKKKACiiigApkwlaBxA6pKVIRnXcAfUjIz+dULuK/vrlrZWa0slxvmRh5kvsmPuDsW6+mOtX4okghSKNdqIoVR6AUr3JTvoVbDTYrHfJuea5l/1txJy7/wCAHYDgVdooppJKyGkkrIKKKKBhRRRQAUUUUAFQXdla38XlXdvFPH12yIGAPqM96nooavuOMnF3i7Mxzos9rzpuozQgdIbjM8f6ncPwbHtTDf31nxqGmybB/wAt7MmZfxXAcfgD9a26Kjkt8Oh0LEt/xFzfn96/W5nWmoWl+ha0uY5gvDBGyVPoR1B+tR6npw1CBQshguYW8y3uFGWicdD7jsR3BIqxe6RYX7iS4tlMy8LMhKSL9HXDD86pnTtUs+bK/W5jH/LG9HP0EijI/ENTjOcHdf18v+HKtSn8MreT/wA1+qRZ0fVDqEUkNzGIdQtiEuYQeAezL6o3UH8OoIpdLdY9V12R2CossZYnoAIlrA1S7mgliv3tJdP1G2BCyv8APBMneN3XOFPYsBg4PqDn+F/G2h+LvEeoaXp93l52SeWN1IJRI0DID0PzcHBPAPbmnOMJyjKLsuq7aP8ApfcVySpwnzdVp2eq2ezO80xGeOS9lUrLcnfg9VQfdX8ufqTV6iiplLmdzjCiiipAKKKKACjrRWT4ln1KHQL0aRYzXmoSQukCxvGm1yp2kl2UYzjpk0AcD4Tk8NLousa9qdnC1vc6jcS2+60LrFbq2xAvy4UfIW4wPmre8O+HLjVPAF5pHiJpHt9QeZooTN5j29u7ZjTfk5KjBByQOBzinadBq+leBrPQdO8PzrdRWS2yyXU0IhV9uC77XZiM5OApz7Vu+FtDHhrwtpujCdp/scCxmVv4j3PsM9B2FAHHeFPhT4Y8I3E1nPZQ6p9sw0c+oQRyFSufkAIwODnjrg+grrP+EL8K/wDQs6N/4ARf/E1q3lqLu2Me4o4IZHHVGHIIpljdG5hIkUJcRHZMg/hb29j1Hsa6VWqqC5JNW6Jv+v68xWV9TN/4Qvwr/wBCzo3/AIARf/E0f8IX4V/6FnRv/ACL/wCJrcoqfrVf+d/ew5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXYw/+EL8K/wDQs6N/4ARf/E0f8IX4V/6FnRv/AAAi/wDia3KKPrVf+d/ew5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXYw/+EL8K/wDQs6N/4ARf/E0f8IX4V/6FnRv/AAAi/wDia3KKPrVf+d/ew5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXY4q18I+Gm8ZapA3h7STClhaOkZso9qsz3AJA28E7Vz9B6Vs/8IX4V/6FnRv/AAAi/wDiaLP/AJHnV/8AsHWX/oy5rcrfEYmspq03tHq/5UJRRh/8IX4V/wChZ0b/AMAIv/iaP+EL8K/9Czo3/gBF/wDE1uUVh9ar/wA7+9j5V2MP/hC/Cv8A0LOjf+AEX/xNH/CF+Ff+hZ0b/wAAIv8A4mtyij61X/nf3sOVdjD/AOEL8K/9Czo3/gBF/wDE0f8ACF+Ff+hZ0b/wAi/+Jrcoo+tV/wCd/ew5V2MP/hC/Cv8A0LOjf+AEX/xNH/CF+Ff+hZ0b/wAAIv8A4mtyij61X/nf3sOVdjD/AOEL8K/9Czo3/gBF/wDE0f8ACF+Ff+hZ0b/wAi/+Jrcoo+tV/wCd/ew5V2MP/hC/Cv8A0LOjf+AEX/xNH/CF+Ff+hZ0b/wAAIv8A4mtys691ZYLtLK2ha6vWwTChwI1/vO38I/U9gaTxdZbzf3sT5VuZd94Z8HadbGefw1pGMhVVNOjZnY9FUBckmoNO8GaNM0lzfeGNDgRwBFarYQsYx6u23lj6Dge/Wusoo+s1739o/vYuRXuYf/CF+Ff+hZ0b/wAAIv8A4mj/AIQvwr/0LOjf+AEX/wATW5RT+tV/5397K5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXYw/+EL8K/wDQs6N/4ARf/E0f8IX4V/6FnRv/AAAi/wDia3KKPrVf+d/ew5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXYw/+EL8K/wDQs6N/4ARf/E0f8IX4V/6FnRv/AAAi/wDia3KKPrVf+d/ew5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXYw/+EL8K/wDQs6N/4ARf/E0f8IX4V/6FnRv/AAAi/wDia3KKPrVf+d/ew5V2MP8A4Qvwr/0LOjf+AEX/AMTR/wAIX4V/6FnRv/ACL/4mtyij61X/AJ397DlXY5268J+EbS2eeTwzo+1R0FhFknsB8vUniud8F/CPRfCOvvr0LztdujCOBmBjt93ULxk4HAJPTNdmn/Exv/M62tsxCekkg4J+i9Prn0FaNFWpOSSm2359P66gl2OIgupfGnizVLIyyR6Bo0otpI42K/bLnGWDkc7EBA2/xE85HFaOp+EraS70l9LhjsIoL1JrpLYCJZo0DMqsq4DfvBGeenPqaraJp914U1XXYzZT3VhqV++owz24DFHkC743XOfvLkEZGDzjFdFai6nujdXCvbxhNkduWBPJBLPgkZ4AABOBnn5sDAZdooooAKKKKACiiigAooooAKoXsT28y6hbqWZBtmjXrInt7jqPxHer9FVGXK7gMilSaJJYmDxuAysOhBp9Zv8AyCrknpYzPz6QuT/6CT+R+vGlTnG2q2AKKKKgAooooAKKKKACiiigAooooAw7P/kedX/7B1l/6Mua3Kw7P/kedX/7B1l/6Mua3K3xHxr0j/6ShIKKKKwGFFFFABRRRQAUUUUAFFGcVR1HThqQjilnkW1GfNhTjzvQMeu3rkDr344KfkJt20JrO+tr+N5LWUSxo5jLqDtJHXB6EdsjIzkdjS2tlbWQkFvEqea5kkI5LsepJPJNSxxpFGscaKiIAqqowAB2Ap1CXcEu+4UUUUxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVRvZpJZVsLZissgzJIP+WSev1PQfn2qW9u/ssahF8yeQ7Yo8/eb+gHUn0osrT7LExdvMnkO6WTH3m/oB0A9K0iuVcz+QiaGGO3hSGJQsaAKqjsKfRRWbdxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADZI0ljaORQyMMMpGQRVC3kfT51s52LQucW8rH/wAcY+voe49xzo1HPBFcwPDMoaNhgirjJLR7ASUVn288lpMtneOW3cQTn/lp/st/tfz6+orQpSi4sAoooqQCiiigAooooAKKKKAMOz/5HnV/+wdZf+jLmtysOz/5HnV/+wdZf+jLmtyt8R8a9I/+koSCiiisBhRRRQAUUUUAFNkLLGzIu9gCQucZPpms6/vrs3H2DTbfdclQzzyqRFCp7n+8fRR+JAq9axPBbRxSzvPIow0rgAsfXAAApXu7EqV3ZGdaaZNLdJqGqyLLdLzFChPlW+f7v95sdWPPoAOK1qKKEkhxilsFFFFMYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFQ3V1HaQGWTOMgKqjJYnoAO5NLc3MVpAZZmwo4GBkk9gB3J9KrW1tLNOL28XEgH7qLORCD/Nj3P4D3uMVbmlsIWztpPMa7u8faXGAoOREv90f1Pc/QVdoopSk5O7GFFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUARz28V1C0MyBkbqP6+xqlFcS2Mq2145eNjthuT39Ff0b36H61o0yWJJomjlRXRhhlYZBFXGVlZ7APorN3zaVxIXmsez8s8I/wBruy+/Ud89a0EdZEV0YMrDIZTkEUpRtr0AdRRRUgFFFFABRRRQBh2f/I86v/2DrL/0Zc1uVh2f/I86v/2DrL/0Zc1uVviPjXpH/wBJQkFFFFYDCiiqt/qFtpsAluHI3NtRFBZ5G7Kqjkn6Um7asTaSuyxJIkUbSSOqIgLMzHAAHcmqGn6lLqUzyw2xXTwv7ueQkNM3qq/3MZ5PXsMcm5PbwXkHlXEKSxkhikigjIORkfUCpaNbiabfkFFFFMoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC6u4rSLfISSTtRFGWdvQDuajur5YHWGNDNcuMpEp7epPYe/8AOktbJkl+03TiW6IxuA+VB/dUdh79TWiikuaX/DiG29rLLOLy9x5w/wBXEDlYR/VvU/gPe9RRUyk5PUYUUUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWe1nLZu0un7dpOXtmOFY+qn+E/of1rQoqoycQK9reRXYbYSsicPE4wyH3H9ehqxVa6soroq+WjnQfJNGcMv+I9jxVcXs1l8uoKPL7XUY+T/AIEP4f5e4quRS+D7v63EaNFIrBlDKQVIyCDwaWsxhRRRQBh2f/I86v8A9g6y/wDRlzW5WHZ/8jzq/wD2DrL/ANGXNblb4j416R/9JQkFFFU9Qjvpokispo7fe2JJmG5kX/YGMFvrwOuD0rnbsDdkWhIjOyK6llxuUHkZ6ZqpBpcEWoS3zs89y+Qskpz5Sf3EHRR+p7k0+w0+202AxW6Ebjud2O55G7szHkn3NWqLX3Fa+4UUUUygooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKrXV9DalUYs8z/chjG52+g9Pc8U1FydkBZrPa8lvWMen42A4a6YZQf7o/iP6D9KT7JcXx3X5CQ9rVDkH/AHz/ABfQcfWtBVCqFUAKBgAdqv3Yeb/D/g/l6iILWzitEYR7mdzl5HOWc+pNWKKKhtt3YwooopAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUG05rdjJp8ogJOTCRmJvw/hPuPyNCamsbiO+iNrIeAzHMbfR+n4HB9qv0jKrqVZQykYIIyDWnPf49fzFYWis/+zWt+dPnNv8A9MmG+I/8B7f8BIo/tCa34vrR4x/z1hzIn44G4fiMe9HJf4Xf8/69AuU7P/kedX/7B1l/6Mua3CcAmvOLT4ieHpfiPqthY3LXt9La29tBDCh/eyxvOXUMflGA4JJOOvXFegWZuzaob0Qi4OSyw5KrzwAT1wO/GfQU68k56dl+SEnrYzrf+0dVuY7mXzbCxjbdHB0lmx0Mn91f9nqe/pWxRRWKVgjGwUUUUygooooAKKKKACiiigAooooAKKKKACiiigAooqnNqdtFIYlZpph1ihG9h9cdPxxTjFy2QFyoLm8t7RQZ5Qu7hV6sx9AByT9KrY1G76lbKI+mHlP/ALKv/j1T21hb2rGRELSt96VzudvxPP4dKvljH4n93+f/AA4iDffXv3FNlAf4nAMrD2HRfxyfYVYtrOC0DeUnzNy7sdzOfcnk1YopObastEMKKKKgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArL1LxFpmkXdva3s0kc9ycQItvI/mHk4XapycAnA5rUrhNWuJL34t6VBHaTXSaPp0t2ywlBtkmby1zuYD7qv+dAGXo/w68Ff8J9ca3Z3V6mqEtdLZSEw+UWJBkVGVXxk8dQCfpXoHkajB/qbqO4T+5cLtb/vpf8A4k1jJol7qfja08RXyC0g0+2kgtLbeGkZpMb3kI+UDAACgn1z2rqKqM2tAKH9oyRf8fVjcR/7cY81f/HefzAqaDUbO5bbDcxO/dN3zD6jqKs1DPa290u24gilHpIgb+dVeD3Vv6/rqImoqj/ZNun+oeeD2imYAf8AAc4/Sj7Jep/q9SZv+u8Kt/6Dto5YvaX3/wBMC9RVH/ibJ/z5S/8AfUf/AMVR9o1JfvafE3/XO5z/ADUUezfRr7wuXqKo/bbsddKuD/uyRn+bCj7fc/8AQJvP++4f/jlHs35fev8AMLl6iqP266PTSbv8Xi/+Lo+13x+7pjD/AH5kH8s0ezfl96/zC5eoqj5mqt0tbSMerXDMfyCf1o8rU3+9d20Y9I4CT+Zb+lHJ3a/r0C5epryJEpaR1RR1LHAqn/Z0j/6/ULuT2VhGP/HQD+tKmk2CMH+zI7jo8uZGH4tk0Wgt2A06xZscQM9y3pboXH5jgfiaPO1Kf/VWsVsv964fc3/fK8f+PVfAAGAMCijmitl94FD+zTN/x+3U1x/sA+Wn/fK9fxJq5FDFbxiOGNI0HRUUAD8BT6KmU5S0YwoooqQCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooARs7TtIBxwSM1zmh+G77TPEusazd6lb3T6n5QdI7RovLEa7VCkyNxySeOprpKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==)\n \n\nLet \\(M\\) be the midpoint of \\(\\overline{QC}\\) . \n\nClaim — Point \\(M\\) is the circumcenter of \\(\\triangle AFP\\) . \n\nProof. It's clear that \\(MA = MP\\) from the isosceles trapezoid. As for \\(MA = MF\\) , let \\(N\\) denote the midpoint of \\(\\overline{AF}\\) ; then \\(\\overline{MN}\\) is a midline of the parallelogram, so \\(\\overline{MN} \\perp \\overline{AF}\\) . \\(\\square\\) \n\nSince \\(\\overline{CM} \\perp \\overline{BC}\\) and \\(M\\) is the center of \\((AFP)\\) , it follows \\(CX = CY\\) .", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) USAMO 2025/4, proposed by Carl Schildkraut \n"}} +{"year": "2025", "tier": "T1", "problem_label": "3", "problem_type": null, "exam": "USAMO", "problem": "Alice the architect and Bob the builder play a game. First, Alice chooses two points \\(P\\) and \\(Q\\) in the plane and a subset \\(S\\) of the plane, which are announced to Bob. Next, Bob marks infinitely many points in the plane, designating each a city. He may not place two cities within distance at most one unit of each other, and no three cities he places may be collinear. Finally, roads are constructed between the cities as follows: each pair \\(A\\) , \\(B\\) of cities is connected with a road along the line segment \\(AB\\) if and only if the following condition holds: \n\nFor every city \\(C\\) distinct from \\(A\\) and \\(B\\) , there exists \\(R \\in S\\) such that \n\n\\(\\triangle PQR\\) is directly similar to either \\(\\triangle ABC\\) or \\(\\triangle BAC\\) . \n\nAlice wins the game if (i) the resulting roads allow for travel between any pair of cities via a finite sequence of roads and (ii) no two roads cross. Otherwise, Bob wins. Determine, with proof, which player has a winning strategy.", "solution": "The answer is that Alice wins. Let's define a Bob- set \\(V\\) to be a set of points in the plane with no three collinear and with all distances at least 1. The point of the problem is to prove the following fact. \n\nClaim — Given a Bob- set \\(V\\subseteq \\mathbb{R}^{2}\\) , consider the Bob- graph with vertex set \\(V\\) defined as follows: draw edge \\(ab\\) if and only if the disk with diameter \\(\\overline{ab}\\) contains no other points of \\(V\\) on or inside it. Then the Bob- graph is (i) connected, and (ii) planar. \n\nProving this claim shows that Alice wins since Alice can specify \\(S\\) to be the set of points outside the disk of diameter \\(PQ\\) . \n\nProof that every Bob- graph is connected. Assume for contradiction the graph is disconnected. Let \\(p\\) and \\(q\\) be two points in different connected components. Since \\(pq\\) is not an edge, there exists a third point \\(r\\) inside the disk with diameter \\(\\overline{pq}\\) . \n\nHence, \\(r\\) is in a different connected component from at least one of \\(p\\) or \\(q\\) — let's say point \\(p\\) . Then we repeat the same argument on the disk with diameter \\(\\overline{pr}\\) to find a new point \\(s\\) , non- adjacent to either \\(p\\) or \\(r\\) . See the figure below, where the \\(X\\) 'ed out dashed edges indicate points which are not only non- adjacent but in different connected components.\n\n\n![md5:a755a01227ea3ae1245fd44bea06ab4f](a755a01227ea3ae1245fd44bea06ab4f.jpeg)\n \n\nIn this way we generate an infinite sequence of distances \\(\\delta_{1}\\) , \\(\\delta_{2}\\) , \\(\\delta_{3}\\) , ... among the non- edges in the picture above. By the \"Pythagorean theorem\" (or really the inequality for it), we have \n\n\\[\\delta_{i}^{2}\\leq \\delta_{i - 1}^{2} - 1\\] \n\nand this eventually generates a contradiction for large \\(i\\) , since we get \\(0 \\leq \\delta_{i}^{2} \\leq \\delta_{1}^{2} - (i - 1)\\) . \\(\\square\\) \n\nProof that every Bob- graph is planar. Assume for contradiction edges \\(ac\\) and \\(bd\\) meet, meaning \\(abcd\\) is a convex quadrilateral. WLOG assume \\(\\angle bad \\geq 90^{\\circ}\\) (each quadrilateral has an angle at least \\(90^{\\circ}\\) ). Then the disk with diameter \\(\\overline{bd}\\) contains \\(a\\) , contradiction. \\(\\square\\) \n\nRemark. In real life, the Bob- graph is actually called the Gabriel graph. Note that we never require the Bob- set to be infinite; the solution works unchanged for finite Bob- sets. \n\nHowever, there are approaches that work for finite Bob- sets that don't work for infinite sets, such as the relative neighbor graph, in which one joins \\(a\\) and \\(b\\) iff there is no \\(c\\) such that \\(d(a,b) \\leq \\max \\{d(a,c),d(b,c)\\}\\) . In other words, edges are blocked by triangles where \\(ab\\) is the longest edge (rather than by triangles where \\(ab\\) is the longest edge of a right or obtuse triangle as in the Gabriel graph). \n\nThe relative neighbor graph has fewer edges than the Gabriel graph, so it is planar too. When the Bob- set is finite, the relative distance graph is still connected. The same argument above works where the distances now satisfy \n\n\\[\\delta_{1} > \\delta_{2} > \\ldots\\] \n\ninstead, and since there are finitely many distances one arrives at a contradiction. \n\nHowever for infinite Bob- sets the descending condition is insufficient, and connectedness actually fails altogether. A counterexample (communicated to me by Carl Schildkraut) is to start by taking \\(A_{n} \\approx (2n,0)\\) and \\(B_{n} \\approx (2n + 1,\\sqrt{3})\\) for all \\(n \\geq 1\\) , then perturb all the points slightly so that \n\n\\[B_{1}A_{1} > A_{1}A_{2} > A_{2}B_{1} > B_{1}B_{2} > B_{2}A_{2\\] \\[> A_{2}A_{3} > A_{3}B_{2} > B_{2}B_{3} > B_{3}A_{3\\] \\[> \\dots\\] \n\nA cartoon of the graph is shown below.\n\n\n![md5:f571b12c2c566ce1beedd8190c986910](f571b12c2c566ce1beedd8190c986910.jpeg)\n \n\nIn that case, \\(\\{A_{n}\\}\\) and \\(\\{B_{n}\\}\\) will be disconnected from each other: none of the edges \\(A_{n}B_{n}\\) or \\(B_{n}A_{n + 1}\\) are formed. In this case the relative neighbor graph consists of the edges \\(A_{1}A_{2}A_{3}A_{4}\\dots\\) and \\(B_{1}B_{2}B_{3}B_{4}\\dots\\) . That's why for the present problem, the inequality \n\n\\[\\delta_{i}^{2}\\leq \\delta_{i - 1}^{2} - 1\\] \n\nplays such an important role, because it causes the (squared) distances to decrease appreciably enough to give the final contradiction.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) USAMO 2025/3, proposed by Carl Schildkraut \n"}} +{"year": "2025", "tier": "T1", "problem_label": "4", "problem_type": null, "exam": "USAMO", "problem": "Let \\(H\\) be the orthocenter of an acute triangle \\(ABC\\) , let \\(F\\) be the foot of the altitude from \\(C\\) to \\(AB\\) , and let \\(P\\) be the reflection of \\(H\\) across \\(BC\\) . Suppose that the circumcircle of triangle \\(AFP\\) intersects line \\(BC\\) at two distinct points \\(X\\) and \\(Y\\) . Prove that \\(CX = CY\\) .", "solution": "Let \\(Q\\) be the antipode of \\(B\\) . \n\nClaim — \\(AHQC\\) is a parallelogram, and \\(APCQ\\) is an isosceles trapezoid. \n\nProof. As \\(\\overline{AH} \\perp \\overline{BC} \\perp \\overline{CQ}\\) and \\(\\overline{CF} \\perp \\overline{AB} \\perp \\overline{AQ}\\) . \n\n![md5:985a4e477931d9a1ea376c0c16ae4275](985a4e477931d9a1ea376c0c16ae4275.jpeg)\n \n\nLet \\(M\\) be the midpoint of \\(\\overline{QC}\\) . \n\nClaim — Point \\(M\\) is the circumcenter of \\(\\triangle AFP\\) . \n\nProof. It's clear that \\(MA = MP\\) from the isosceles trapezoid. As for \\(MA = MF\\) , let \\(N\\) denote the midpoint of \\(\\overline{AF}\\) ; then \\(\\overline{MN}\\) is a midline of the parallelogram, so \\(\\overline{MN} \\perp \\overline{AF}\\) . \\(\\square\\) \n\nSince \\(\\overline{CM} \\perp \\overline{BC}\\) and \\(M\\) is the center of \\((AFP)\\) , it follows \\(CX = CY\\) .", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) USAMO 2025/4, proposed by Carl Schildkraut \n"}} {"year": "2025", "tier": "T1", "problem_label": "5", "problem_type": null, "exam": "USAMO", "problem": "Find all positive integers \\(k\\) such that: for every positive integer \\(n\\) , the sum \n\n\\[\\binom{n}{0}^{k} + \\binom{n}{1}^{k} + \\dots +\\binom{n}{n}^{k}\\] \n\nis divisible by \\(n + 1\\) .", "solution": "The answer is all even \\(k\\) . \n\nLet's abbreviate \\(S(n) := \\binom{n}{0}^{k} + \\dots + \\binom{n}{n}^{k}\\) for the sum in the problem. \n\n\\(\\P\\) Proof that even \\(k\\) is necessary. Choose \\(n = 2\\) . We need \\(3 \\mid S(2) = 2 + 2^{k}\\) , which requires \\(k\\) to be even. \n\nRemark. It's actually not much more difficult to just use \\(n = p - 1\\) for prime \\(p\\) , since \\(\\binom{p- 1}{i} \\equiv (- 1)^{i} \\pmod{p}\\) . Hence \\(S(p- 1) \\equiv 1 + (- 1)^{k} + 1 + (- 1)^{k} + \\dots + 1 \\pmod{p}\\) , and this also requires \\(k\\) to be even. This special case is instructive in figuring out the proof to follow. \n\n\\(\\P\\) Proof that \\(k\\) is sufficient. From now on we treat \\(k\\) as fixed, and we let \\(p^{e}\\) be a prime fully dividing \\(n + 1\\) . The basic idea is to reduce from \\(n + 1\\) to \\((n + 1) / p\\) by an induction. \n\nRemark. Here is a concrete illustration that makes it clear what's going on. Let \\(p = 5\\) . When \\(n = p - 1 = 4\\) , we have \n\n\\[S(4) = 1^{k} + 4^{k} + 6^{k} + 4^{k} + 1^{k} \\equiv 1 + 1 + 1 + 1 + 1 \\equiv 0 \\pmod{5}.\\] \n\nWhen \\(n = p^{2} - 1 = 24\\) , the 25 terms of \\(S(24)\\) in order are, modulo 25, \n\n\\[S(24)\\equiv 1^{k}+1^{k}+1^{k}+1^{k}+1^{k}\\] \\[\\qquad+4^{k}+4^{k}+4^{k}+4^{k}+4^{k}\\] \\[\\qquad+6^{k}+6^{k}+6^{k}+6^{k}+6^{k}\\] \\[\\qquad+4^{k}+4^{k}+4^{k}+4^{k}+4^{k}\\] \\[\\qquad+1^{k}+1^{k}+1^{k}+1^{k}+1^{k}\\] \\[\\qquad=5(1^{k}+4^{k}+6^{k}+4^{k}+1^{k}).\\] \n\nThe point is that \\(S(24)\\) has five copies of \\(S(4)\\) , modulo 25. \n\nTo make the pattern in the remark explicit, we prove the following lemma on each individual binomial coefficient.\n\n\n\n## Lemma 2.1 \n\nSuppose \\(p^{e}\\) is a prime power which fully divides \\(n + 1\\) . Then \n\n\\[\\binom{n}{i}\\equiv\\pm\\binom{\\frac{n+1}{p}-1}{\\lfloor i/p\\rfloor}\\pmod{p^{e}}.\\] \n\nProof of lemma. It's easiest to understand the proof by looking at the cases \\(\\lfloor i / p\\rfloor \\in\\) \\(\\{0,1,2\\}\\) first. \n\nFor \\(0\\leq i< p\\) , since \\(n\\equiv - 1\\) mod \\(p^{e}\\) , we have \n\n\\[\\binom{n}{i}=\\frac{n(n-1)\\ldots(n-i+1)}{1\\cdot2\\cdot\\cdots\\cdot i}\\equiv\\frac{(-1)(-2)\\ldots(-i)}{1\\cdot2\\cdot\\cdots\\cdot i}\\equiv\\pm 1\\pmod{p^{e}}.\\] \n\nFor \\(p\\leq i< 2p\\) we have \n\n\\[\\binom{n}{i}\\equiv\\pm 1\\cdot\\frac{n-p+1}{p}\\cdot\\frac{(n-p)(n-p-1)\\ldots(n-i+1)}{(p+1)(p+2)\\ldots i}\\] \\[\\qquad\\equiv\\pm 1\\cdot\\frac{\\frac{n-p+1}{p}\\cdot\\pm 1}{1}\\] \\[\\qquad\\equiv\\pm\\binom{\\frac{n+1}{p}-1}{1}\\pmod{p^{e}}.\\] \n\nFor \\(2p\\leq i< 3p\\) the analogous reasoning gives \n\n\\[\\binom{n}{i}\\equiv\\pm 1\\cdot\\frac{n-p+1}{p}\\cdot\\pm 1\\cdot\\frac{n-2p+1}{2p}\\cdot\\pm 1\\] \\[\\qquad\\equiv\\pm\\frac{\\binom{n+1}{p}-1}{1\\cdot2}\\binom{\\frac{n+1}{p}-2}{2}\\] \\[\\qquad\\equiv\\pm\\binom{\\frac{n+1}{p}-1}{2}\\pmod{p^{e}}.\\] \n\nAnd so on. The point is that in general, if we write \n\n\\[\\binom{n}{i}=\\prod_{1\\leq j\\leq i}\\frac{n-(j-1)}{j}\\] \n\nthen the fractions for \\(p\\nmid j\\) are all \\(\\pm 1\\) (mod \\(p^{e}\\) ). So only considers those \\(j\\) with \\(p\\mid j\\) ; in that case one obtains the claimed \\(\\binom{\\frac{n+1}{p}-1}{\\lfloor i/p\\rfloor}\\) exactly (even without having to take modulo \\(p^{e}\\) ). \\(\\square\\) \n\nFrom the lemma, it follows if \\(p^{e}\\) is a prime power which fully divides \\(n + 1\\) , then \n\n\\[S(n)\\equiv p\\cdot S\\left(\\frac{n + 1}{p} -1\\right)\\pmod{p^{e}}\\] \n\nby grouping the \\(n + 1\\) terms (for \\(0\\leq i\\leq n\\) ) into consecutive ranges of length \\(p\\) (by the value of \\(\\lfloor i / p\\rfloor\\) ).\n\n\n\nRemark. Actually, with the exact same proof (with better \\(\\pm\\) bookkeeping) one may show that \n\n\\[n + 1\\mid \\sum_{i = 0}^{n}\\left((-1)^{i}\\binom{n}{i}\\right)^{k}\\] \n\nholds for all nonnegative integers \\(k\\) , not just \\(k\\) even. So in some sense this result is more natural than the one in the problem statement.", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) USAMO 2025/5, proposed by John Berman \n"}} -{"year": "2025", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "USAMO", "problem": "Let \\(m\\) and \\(n\\) be positive integers with \\(m \\geq n\\) . There are \\(m\\) cupcakes of different flavors arranged around a circle and \\(n\\) people who like cupcakes. Each person assigns a nonnegative real number score to each cupcake, depending on how much they like the cupcake. Suppose that for each person \\(P\\) , it is possible to partition the circle of \\(m\\) cupcakes into \\(n\\) groups of consecutive cupcakes so that the sum of \\(P\\) 's scores of the cupcakes in each group is at least 1. Prove that it is possible to distribute the \\(m\\) cupcakes to the \\(n\\) people so that each person \\(P\\) receives cupcakes of total score at least 1 with respect to \\(P\\) .", "solution": "Arbitrarily pick any one person — call her Pip — and her \\(n\\) arcs. The initial idea is to try to apply Hall's marriage lemma to match the \\(n\\) people with Pip's arcs (such that each such person is happy with their matched arc). To that end, construct the obvious bipartite graph \\(\\mathfrak{G}\\) between the people and the arcs for Pip. \n\nWe now consider the following algorithm, which takes several steps. \n\n- If a perfect matching of \\(\\mathfrak{G}\\) exists, we're done!- We're probably not that lucky. Per Hall's condition, this means there is a bad set \\(B_{1}\\) of people, who are compatible with fewer than \\(|B_{1}|\\) of the arcs. Then delete \\(B_{1}\\) and the neighbors of \\(B_{1}\\) , then try to find a matching on the remaining graph.- If a matching exists now, terminate the algorithm. Otherwise, that means there's another bad set \\(B_{2}\\) for the remaining graph. We again delete \\(B_{2}\\) and the fewer than \\(B_{2}\\) neighbors.- Repeat until some perfect matching \\(\\mathcal{M}\\) is possible in the remaining graph, i.e. there are no more bad sets (and then terminate once that occurs). Since Pip is a universal vertex, it's impossible to delete Pip, so the algorithm does indeed terminate with nonempty \\(\\mathcal{M}\\) . \n\nA cartoon of this picture is shown below.\n\n\n![](data:image/jpeg;base64,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)\n \n\nWe commit to assigning each of person in \\(\\mathcal{M}\\) their matched arc (in particular if there are no bad sets at all, the problem is already solved). Now we finish the problem by induction on \\(n\\) (for the remaining people) by simply deleting the arcs used up by \\(\\mathcal{M}\\) . \n\nTo see why this deletion- induction works, consider any particular person Quinn not in \\(\\mathcal{M}\\) . By definition, Quinn is not happy with any of the arcs in \\(\\mathcal{M}\\) . So when an arc \\(\\mathcal{A}\\) of \\(\\mathcal{M}\\) is deleted, it had value less than 1 for Quinn so in particular it couldn't contain entirely any of Quinn's arcs. Hence at most one endpoint among Quinn's arcs was in the deleted arc \\(\\mathcal{A}\\) . When this happens, this causes two arcs of Quinn to merge, and the merged value is \n\n\\[(\\geq 1) + (\\geq 1) - (\\leq 1)\\qquad \\geq \\qquad 1\\] \n\nmeaning the induction is OK. See below for a cartoon of the deletion, where Pip's arcs are drawn in blue while Quinn's arcs and scores are drawn in red (in this example \\(n = 3\\) ). \n\n![](data:image/jpeg;base64,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)\n \n\nRemark. This deletion argument can be thought of in some special cases even before the realization of Hall, in the case where \\(\\mathcal{M}\\) has only one person (Pip). This amounts to saying that if one of Pip's arcs isn't liked by anybody, then that arc can be deleted and the induction carries through.\n\n\n\nRemark. Conversely, it should be reasonable to expect Hall's theorem to be helpful even before finding the deletion argument. While working on this problem, one of the first things I said was: \n\n\"We should let Hall do the heavy lifting for us: find a way to make \\(n\\) groups that satisfy Hall's condition, rather than an assignment of \\(n\\) groups to \\(n\\) people.\" \n\nAs a general heuristic, for any type of \"compatible matching\" problem, Hall's condition is usually the go- to tool. (It is much easier to verify Hall's condition than actually find the matching yourself.) Actually in most competition problems, if one realizes one is in a Hall setting, one is usually close to finishing the problem. This is a relatively rare example in which one needs an additional idea to go alongside Hall's theorem.", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) USAMO 2025/6, proposed by Cheng-Yin Chang and Hung-Hsun Yu \n"}} +{"year": "2025", "tier": "T1", "problem_label": "6", "problem_type": null, "exam": "USAMO", "problem": "Let \\(m\\) and \\(n\\) be positive integers with \\(m \\geq n\\) . There are \\(m\\) cupcakes of different flavors arranged around a circle and \\(n\\) people who like cupcakes. Each person assigns a nonnegative real number score to each cupcake, depending on how much they like the cupcake. Suppose that for each person \\(P\\) , it is possible to partition the circle of \\(m\\) cupcakes into \\(n\\) groups of consecutive cupcakes so that the sum of \\(P\\) 's scores of the cupcakes in each group is at least 1. Prove that it is possible to distribute the \\(m\\) cupcakes to the \\(n\\) people so that each person \\(P\\) receives cupcakes of total score at least 1 with respect to \\(P\\) .", "solution": "Arbitrarily pick any one person — call her Pip — and her \\(n\\) arcs. The initial idea is to try to apply Hall's marriage lemma to match the \\(n\\) people with Pip's arcs (such that each such person is happy with their matched arc). To that end, construct the obvious bipartite graph \\(\\mathfrak{G}\\) between the people and the arcs for Pip. \n\nWe now consider the following algorithm, which takes several steps. \n\n- If a perfect matching of \\(\\mathfrak{G}\\) exists, we're done!- We're probably not that lucky. Per Hall's condition, this means there is a bad set \\(B_{1}\\) of people, who are compatible with fewer than \\(|B_{1}|\\) of the arcs. Then delete \\(B_{1}\\) and the neighbors of \\(B_{1}\\) , then try to find a matching on the remaining graph.- If a matching exists now, terminate the algorithm. Otherwise, that means there's another bad set \\(B_{2}\\) for the remaining graph. We again delete \\(B_{2}\\) and the fewer than \\(B_{2}\\) neighbors.- Repeat until some perfect matching \\(\\mathcal{M}\\) is possible in the remaining graph, i.e. there are no more bad sets (and then terminate once that occurs). Since Pip is a universal vertex, it's impossible to delete Pip, so the algorithm does indeed terminate with nonempty \\(\\mathcal{M}\\) . \n\nA cartoon of this picture is shown below.\n\n\n![md5:d2f017d880fd6e05213386066b3dd228](d2f017d880fd6e05213386066b3dd228.jpeg)\n \n\nWe commit to assigning each of person in \\(\\mathcal{M}\\) their matched arc (in particular if there are no bad sets at all, the problem is already solved). Now we finish the problem by induction on \\(n\\) (for the remaining people) by simply deleting the arcs used up by \\(\\mathcal{M}\\) . \n\nTo see why this deletion- induction works, consider any particular person Quinn not in \\(\\mathcal{M}\\) . By definition, Quinn is not happy with any of the arcs in \\(\\mathcal{M}\\) . So when an arc \\(\\mathcal{A}\\) of \\(\\mathcal{M}\\) is deleted, it had value less than 1 for Quinn so in particular it couldn't contain entirely any of Quinn's arcs. Hence at most one endpoint among Quinn's arcs was in the deleted arc \\(\\mathcal{A}\\) . When this happens, this causes two arcs of Quinn to merge, and the merged value is \n\n\\[(\\geq 1) + (\\geq 1) - (\\leq 1)\\qquad \\geq \\qquad 1\\] \n\nmeaning the induction is OK. See below for a cartoon of the deletion, where Pip's arcs are drawn in blue while Quinn's arcs and scores are drawn in red (in this example \\(n = 3\\) ). \n\n![md5:9e8bdc23c023ab52d12571055117b15d](9e8bdc23c023ab52d12571055117b15d.jpeg)\n \n\nRemark. This deletion argument can be thought of in some special cases even before the realization of Hall, in the case where \\(\\mathcal{M}\\) has only one person (Pip). This amounts to saying that if one of Pip's arcs isn't liked by anybody, then that arc can be deleted and the induction carries through.\n\n\n\nRemark. Conversely, it should be reasonable to expect Hall's theorem to be helpful even before finding the deletion argument. While working on this problem, one of the first things I said was: \n\n\"We should let Hall do the heavy lifting for us: find a way to make \\(n\\) groups that satisfy Hall's condition, rather than an assignment of \\(n\\) groups to \\(n\\) people.\" \n\nAs a general heuristic, for any type of \"compatible matching\" problem, Hall's condition is usually the go- to tool. (It is much easier to verify Hall's condition than actually find the matching yourself.) Actually in most competition problems, if one realizes one is in a Hall setting, one is usually close to finishing the problem. This is a relatively rare example in which one needs an additional idea to go alongside Hall's theorem.", "metadata": {"resource_path": "USAMO/segmented/en-USAMO-2025-notes.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) USAMO 2025/6, proposed by Cheng-Yin Chang and Hung-Hsun Yu \n"}} diff --git a/USA_TST/md/en-sols-TST-IMO-2024.md b/USA_TST/md/en-sols-TST-IMO-2024.md index fcc16fc08fa58b363e1ff15a5b5cfa992d74171c..4d24ab5895c7e60aaa137014a87f6c47ad282426 100644 --- a/USA_TST/md/en-sols-TST-IMO-2024.md +++ b/USA_TST/md/en-sols-TST-IMO-2024.md @@ -144,7 +144,7 @@ We show several approaches. First solution, by author. -![](data:image/jpeg;base64,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) +![md5:881e7417491de055ce2001ea7ce5d3da](881e7417491de055ce2001ea7ce5d3da.jpeg) Claim — We have \(B P = B Q\) . @@ -199,7 +199,7 @@ First note that \(\angle DFE = 45^{\circ} - \angle A / 4\) , so it suffices to s Now \(\angle BUV = \angle AEU = 90^{\circ} - \angle A / 2 = \angle BVP\) , so \(\overline{PUV}\) are collinear. -![](data:image/jpeg;base64,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) +![md5:7611450162d3bf3d96760a7bf83408c5](7611450162d3bf3d96760a7bf83408c5.jpeg) From the tangency condition, we have that \(\angle AQB = 180^{\circ} - \angle ABI\) , which implies that @@ -214,7 +214,7 @@ This forces \(\overline{PQ} \parallel \overline{DF}\) , as desired. \(\P\) Third solution by Pitchayut Saengrungkongka and Maxim Li. We provide yet another proof that \(BP = BQ\) . -![](data:image/jpeg;base64,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) +![md5:0a77a1375ef382994a16d8274426dad7](0a77a1375ef382994a16d8274426dad7.jpeg) Let the incircle be \(\omega\) and touch \(BC\) and \(AB\) at point \(U\) and \(W\) . Let the tangent to \(\omega\) at \(D\) meet \(UW\) at \(T\) . Notice that \(T\) is the pole of \(BD\) with respect to \(\omega\) , so \(IT \perp BD\) . Now, we make the following critical claim, which in particular implies \(BP = BQ\) . @@ -342,7 +342,7 @@ To isolate the geometry component of the problem, we rewrite the claim in the fo Suppose \(A\) and \(B\) are two points such that \(\max (P_{1}A, P_{1}B, P_{2}A, P_{2}B) \leq 1\) , and moreover \(A\) and \(B\) lie on the same side of line \(P_{1}P_{2}\) . Further assume no three of \(\{P_{1}, P_{2}, A, B\}\) are collinear. Then \(AB < 1\) . -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAE8AuMDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorzTx/wDFKw0nT9Q0zQ5WvNY8ll8y35jtSeNzN0yCenPPBxW+Hw1bES5aMW2JyS3PS6K+bvht8RNd8Kand23jA6rc2VxGk4edmkeANyJACc7G3DOPbHv9C6ZqthrNjHfabdxXVtJ92SNsj6H0PseaqrhK9KnGpUg1F7MFJN2RcooormGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFY/iLxTo/hWx+16veJAp+5GOXkPoq9T/L1q6dOdSShBXb6IG7bmxRXhGp/GjxI2pPfaboixaPZsoniuFJdg/Cl2H3Ce2O/XNeleE/iHoviv/R43az1NR+8sbn5ZB/u/3h9OfUCvRxOT4vD01VnG662d7ettvy1IVSLdjraKKK8ssKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsnxB4l0nwvpxvdWu0gj6IvV5D6KvUn/JrnPE3xBFpqJ0Dw1af2v4gbjyo+Yrf3kbtj0z9SKh8P/DwjURr3i27/tjWzyu/mC39kXpx64+gB5rvjhadGCrYt2T2ivil/kvN/JMjmb0iZmPFvxL5czeHPDD9FH/H1dr7/wB0Efhz/FVJ/Dek6h4ptvBuh2aQ6LphW51WReWnk/hjZurf/XPTbXeeM/Ei+F/Dk96o33bnybWLGS8rdBjvjr+FV/A3hxvDnh9Vujv1K7Y3F7KTktI3JGfbp9cnvWk8xqQw7qxXJHaEV36yfVtLq+rVrWDkTdjE+JWjTW8Nn4t0qBXvtH/10WOJ7Y/fQj0AJ/AtVGPwj5ltB4t+G+oDTpLqMStYuc2047qV/hIOR6A9NvWvTmVXQo6hlYYIIyCK828Ku3gbxxdeD52I0rUS13pLseFP8cWf89P9qoy7HVpYZ04P36avZ6qUOsWuvK9V5N22CcVzX7mx4a+IlvqN/wD2Jr9o2i68nBtpzhJT6xt0Oew/Imu3rB8S+E9H8WWH2XVbYOV/1UyfLJEfVW7fToe4ri4ta8R/DWVLbxEZdZ8N5CxanGpM1uOwlHce/wCRP3acaVDG64b3Z/yPr/hf/tr17Nhdx32PUqKrafqFnqtjFe2FxHcW0o3JJGcgj/ParNefKLi7NWZYUUUUgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkZlRSzMFUDJJOABWV4h8S6V4X0xr/VrpYYhwi9Xkb+6o7n/JrglsPEnxPKzaqZtD8Lk5jskOJ7texc9lP+QeGrsoYRzh7aq+Smur6+SXV/02iXK2i3L2q/EK81jUJNE8CWi6leLxNqD/8AHtb++f4j+npu6Vkan4es/BGlTeJdbuG17xTORFbSXA3KJj90Rp6L1/DjGcV6ZpWkafoenx2OmWkdrbR9EQfqT1J9zzXB6X/xXnxAl1lvn0TQ2MNkP4Zp+7/hwf8Avn3rqo42CUvYx5aUVeT+1Lsm+nM+i0te97EuL67mr4a8EW9p4Jn0rVU8+51NWk1Bycs0je/qvY+oz3rjPD3hrT9ba88F+IlaLXNEObHUYTsla3z8jA9wuRwegIxgg17LXn3xJ0u6smsfGukJnUdHOZkH/La3P3lP0yfwLe1cuWZjWq1505Ts6juntafT5P4X0tbsVOCSv2K0XiXxN8PpEtfFsb6romQses265eMdvNX+vX3Y16Lp+o2erWMV7YXMVzbSjKSRtkH/AOv7VW0zULHxFodvfW+2azvItwVwCCD1Vh+YI+tcPf8AgfVPCl9LrPgKYR7juuNHmbME/wDuf3T/AJBA4rX2lDFScKqVOquu0W/NfZfmtPJCs46rVHpdFct4S8d6b4pD2ux7HVoOLjT7j5ZEI64z94f5IFdTXHWoVKE3TqKzRSaaugooorIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVQ1jWdP0DTJdR1O5S3tohy7dz2AHcn0FVGEpyUYq7YFueeK2gknnlSKGNSzyOwVVA6kk9BXmV54k1z4iXsuleEXew0SNtl1rTKQX9ViHX8ev8Au944bLWfitcpeaqs+meEkYNb2QO2W9x0ZyOi/wCR/er0uzs7bT7SK0s4I4LeJdscca4VR7Cu+cqWX6O0633xj695eWy82RrP0Mvwz4U0nwnp/wBk0y32luZZ35klb1Zv6dBW3RXGfEPXLm00630PSjnV9Yf7PAAeUQ/fc+mBxn3z2rzYRq4yv70rylu3+Lfoi9Ioy9O/4rv4gSas3z6HoTGG0H8M1x/E/vjg/gvvXotZnh7RLbw7oVppdqPkgTBbHLt1Zj9Tk1p1hjsRGtUtT+COkfTv6t6v1HFWWoVyfxB8MyeI/D2+xJTVrBxdWMq8MJF52g++Pzwe1dZRWGGxE8NVjWp7xd/68n1G0mrMwPBXiaPxZ4ZttRACXA/dXUX/ADzlX7wx29R7EVvSxRzRPFKiyRuCrI4yGB6gjuK80vP+LffEhNQHyaB4icR3H92C67N7Bufzb0FenV6WOowhONaj8E9Y+XdesXp9z6kRfR7o801HwnrHgi9l1rwNmWzdt93ojsSjjuYvQ+3X0yPlrrvCnjHS/F9gZ7GQpcR8XFpLxJC3oR6e/wD+qt2uI8V+BGvr4eIPDlz/AGZ4ih5EycJcf7Mg759fzzxjrp4yni0qeLdpdJ/pLuvPddboTi46xO6orjfB/jpdbnk0bWLf+zPEVtxNZvwJMfxRnuO+OfxHNdlXPXw9ShPkqKz/AD80+q8xppq6CiiisRhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVx/i/wAeW/h6aPStOt21PX7jiCxh5Iz/ABPjoO/qfYcjN8R+Nr/UtWfwv4KRLnVOl1fHmGyHQknoWH446cngbHhHwTYeFIZJg73mq3HzXV/PzJKTycZ6DPb8816Co0sLBVcUrt7Q6vzl2X4vpZakXctImR4e8BXFxqS+IvGdwupayeYoDzBaDsqr0JHr0z6nmu+oqG6uobK0murmQRwQoZJHboqgZJrzcTiq2LqKU/RJbLyS6FqKitDkPiLrdzbafb6BpRzq+sN5EQB5jjP33Ppxxn6ntXQeH9EtvDuhWml2o/dwJgtjl26sx9ycmuR8C20/iPW77xxqEZX7QTBpsT/8soAcZ+p/+K9a9BqswmqMVg4/Z1l5y7f9u7etwhr7wU10WRGR1DIwIZSMgj0p1FeUaHmnhKRvA3je78G3LEaXflrvSXY8KT96LP4fp/tV6bXH/EPwzL4i8PiWwJTV9Pf7VYyL94OvO0fXH5gelaHgrxPF4s8MW2pKAk/+ruYh/wAs5V+8P6j2Ir3cU/rdCONXxfDP16S/7eX4p9zKPuvlKvi3wLYeJjHexSPp+s2/NtqFvw6EdA2PvD9R2NY+g+Or/SNUTw345jS0vzxbaiOILsfXoG/L6A8H0KszXtA03xLpcmnapbLPA/IzwyN2ZT2NGGx8eRUMUuaHR/aj6eXeL0fk9QlHW8dzWoryy01fWPhhdxab4hll1HwxIwS11PBL23okg9P8j0Hp8E8N1bx3FvKksMihkkRgVYHoQR1FVicLKjaSfNCW0ls/8n3T1QlK5JRRRXKUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWJ4q8Vad4R0d9Q1BySflhhT78z9lUf17VdKlOrNQgrt7ITdtWP8AEvibTPCmkPqOpzbIx8sca8vK3ZVHc/5NcTo/hnVPG+pxeJPGcXl2kZ3afox+5GOzSDuT6Hr3wOKm8NeFdR8Qauni7xkgN31sNNP+rs06gkf3/r06nnAHotdlbEwwMXSw7vUfxSXTyj+suvTTeUubV7CAAAADAHQCloorxTUiubmGztZbm4kWOGFC8jt0VQMk1wPge3m8Sa5e+OL+NlE+bfTIn/5ZwA4LfU8/+PetO8d3U3iLWbHwPp8hX7RifUpU/wCWUAOcfU//ABPrXdWttDZWkNrbRiOCFBHGi9FUDAFdtSX1XC2+3U/CP/2z/BeZK96XoS0UUV5BoFFFFAGR4n8P23ijw7d6TdYCzJ8j45jccqw+h/qKw/hv4gudS0ifRtWyutaO/wBmulY8uBwr++QOvfGe9dnXm/jqCXwn4lsfHlhGxhXFrq0SD/WQkgB/qOB+C+9exlsliISwMt5aw8pdv+3lp62M56PmPSqKjt7iG7torm3kWSGVA8bqchlIyCPwqSuFpp2ZRy/jDwVZ+K7eOVZGs9WtvmtL+Hh4mHIBI6rnt+VZvhLxpeLqf/CLeLo1tNej4hm6RXq9mQ9Mn07+xyB3VYHi3wjp/i7S/st4DHPGd9tdR/6yB/UH06ZHf64I9TCY2DgsNitYdH1j6d13XzWpnKOt47nRUV574T8Xahp2rjwh4wIj1ZRi0vT/AKu9Ttz/AHv59OvX0KlicNPDz5Zap6prZruhp3CiiiucYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFISFUsxAAGST2oAUkAZPArzHWfEmqeO9Um8N+D5jBp8R2ajrI+6o7pGe59x17YHNR6rrGofEvVJvD/hyd7bw/A2zUdUT/lt6xxnuD69/p970DRtGsNA0uHTtNt1gtohgKOpPck9yfWvSfJl8VKor1XtF7R85efaPTd9iPj22K/hzw1pnhXSU0/S4BHGOXc8vK395j3P+RWvRRXi1Kk6s3Oo7t7tmiVtEFeeeO7qbxJrll4H0+RlE2LjU5U/5Zwg5C/U8H/vn1rr/ABFrlt4c0G71W6PyQJlUzy7HhVH1OK534d6Hc2unXGu6qN2r6w/2iYkcoh5VB6cc4+g7V2YVrD05YuW60j/i7/8Abq19bEy1fKdfa20Nnaw2tvGI4IUEcaL0VQMAVLRRXjNtu7NCC9mltrC5nhhM0scTOkQOC7AEhfx6V5P8IPiR4j8a65qdnrFvb+RDD5ySwxFPKbcAE68ggkjvwea9G1N21S8/saFiIQoe+kU/djPSMH1bv6Ln1FcNJ4gubrxdqN/p9mkUWi/ZolVRg3VtMGOT2xuUbewByfSmpWi9BQvOVo/8P5f110PUq8yuv+Le/Epb0fJ4f8RPsn/uwXXZvYHOfxb+7Xo9pdw31nFdW774ZVDKfb+hrM8VeHrbxT4cu9JucATLmOTH+rccq34H9Miu/LcVCjVcav8ADmrS9O/qnqvQmS5ldG3RXE/DbxFc6po82karlda0d/st0rHlgOFf3yBjPcjPeu2p4rDyw1aVKe6/Hs15NaocXdXIbu0t7+0ltLuGOe3lUrJHIuVYehFeZPDqnwlvWntRPqHg2Z8ywZ3S2BJ6r6r/AJPPJ9TpskaTRPFKivG4KsrDIYHqCPStsHjZYe8JLmhLePfzXZro/wBBSjf1I9P1C01WwhvrC4S4tZl3RyIcgj/ParNeVX1hqHwr1GXV9Gilu/Cs77r7T1OWtSf+Wkee3/6j2I9K0zU7LWdNg1DT7hJ7WddySKev+BHQjtXVicNGEVWovmpy2fVPs+zX47olSvo9y3RRRXGUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVQ1nWbHQNJuNT1GYRW0C7mbuT2AHck8AVUISnJRirtgVvE3iXT/AAposup6jJiNOEjX70r9lUep/TrXH+FfDWo+INYTxl4ujxdkZ07Tm+5aJ2JB/j7+3U84Ah8NaNfeN9bi8ZeJYTHaxnOkaa/Kxp2kYdyeCPz6AV6XXbiK0cDB4ek71HpKXb+6v/bn12Wm8Jc2r2CiiivENQrM8Qa3beHdCu9Vuz+7gTIXPLt0VR7k4Fadecaqf+E78fxaMvz6JobCa9P8M0/8KfhyP++vauvCUY1JuVT4I6y9O3q9l6kydtjS+Hui3NvYXGv6qM6vrD+fMSOY0P3EHpxzj6DtXZ0UVxYnESxFWVWXX8F0XyWhUVZWCiiisCgooooAKgvbO31GxnsrqMS288ZjkQ9GUjBFT0U4ycXdbiPO/h5e3Hh/Vr/wHqchaWyJm06V/wDltbE5x9Rn+Y/hr0auD+JOi3T2dr4n0hcaxojeemB/rYv40PqMZP0yO9dVoGt2viLQrTVrNsw3MYbGeUPQqfcHI/CvbxtsTTjjYfa0l5T/APtlr63XQzjo+U0qKKK8wswfFnhOw8XaQbK8BjlQ77e5T78D9mB/mO/5GsDwb4s1C11VvB/iwiPWYF/0a5J+W9j7MD3bA/HnuDXe1znjHwha+LdLWF3Nvf27eZZ3icPBIOhyO3AyP6gV6mCxcOT6tifgez6xfdeXddd9yJRe63OmoriPA3i+6v55/DfiJBb+I7AYkB4Fyg6SL68Yzj1z7Dt6WIw88PUdOf8AwGujXkwTTVwooorAYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5drerX3xI1ibwz4eneDQrdtuqamn/LT/plGe+fXv8AT70/ivXL/wAXa5J4J8MzGONf+QtqKciBO8anux6H8v72O20PQ7Dw7pEGmabCIreEYHqx7sx7k+teknHL4KrNXqvWK/lX8z8/5V830I+N26Emk6TY6HpkGnadbrBawrtRF/Uk9ye5q7RRXhznKcnKTu2aBRRXMeO/EreHPDzNajfqV2wt7KIDJaRuM49uv1wO9XQoyrVFThuwbsrnO6mf+E8+IMekr8+h6Ewluz/DNcdk/Dkfg3tXo9c94L8Nr4X8OQ2THfdyHzrqXOS8rdee+On4V0NPMK8ak1TpfBDRefd/N6+ll0CCsrvcKo6rfmwtl8lBLdzN5VvFn77n19ABkk9gDVuWWOCF5pXVI0UszMcBQOpNZWlRSX1y2s3KMpkXZaRMMGKI85I7M2AT6DaOxrz32CTfwrco3FpLHajQ7OWOa9uB9ov5ZGK7kJwxOMkb8FVHZQcfdrD0+3k/4Wvren6hFBt1DQ4ZGjhJKlVkePHIHY12sGj6Xa38t/b6bZw3s2fNuI4FWR8nJ3MBk8+tMGhaQNS/tIaVYi/zn7ULdPN/77xn9atNJWKj7tuXoYOg3Euj3r2Ny5MUk5hdj/BcYyG+kqkN/v7h3rrqwNcs4ftkc04P2S9UWd1g4KknMTg9iGOM+rj0q5o95NKktjekG/tCElOMeYp+7IPZgPwII7VktNC6qSmpLaWq8n1X6ryOJ8cwS+EfFFj48sY2MGVtdWiQffiJAD/UcD6hfevR7eeK6toriCRZIZUDxupyGUjII/Cob+xt9SsLixu4xJb3EZjkQ91Iwa4L4dX1xoOqX/gPVJC01gTLp8rf8trcnIx7jP6kfw170ZfXMH/08pL74f8A2r09Guxh8MvJno9FFFeaWIyq6MjqGVhggjIIry6/srz4VavJrGkxSXHhS6kBvrFOTaMePMT2/wD1HsR6lTZI45onilRXjdSrIwyGB6gj0rtwWMeGk01zQlpKPdfo10fQmUbkdhf2uqWEF9YzpPbTqHjkQ5DCrNeUMLj4Sa75ieZN4M1CX515Y6fKe/8Aun/PI+b1SGaK4gjmhkWSKRQyOhyGB5BB7iurFYZU7VKb5qctn+j7Ndfv2Ji76PcfRRRXIUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEc88VrbyXE8ixQxKXd3OAqgZJJ9K8usYJvir4iXVr1HTwlp0pFlbOMfbJBwZGHdR/9b+9UniK8uPiL4nbwlpczJodi4bV7uM/6xgeIVP1H5g/3efSLO0t7CzhtLSJYbeFAkcaDAVR0FejKf8AZ9K6/jTX/gMX/wC3P8F5sj435EwAAwBgUUUV4RqFFFISACScAdSaYHNeOfEjeG/DzyWw36jdMLeyiAyWlbgHHfHX8h3p/gvw2vhjw7DZud95ITNdy5yXlbrz3x0/Cub0EHxx45n8SSjdpGlE22mqekkn8Un+f9n0r0WuzGy+r0lhFvvL16R+S3835Ex1fMFFFFeSaBRRRQAUUUUAFFFFAARkYPSvNNCP/CA/EKfw7J8mia2xuNOJ+7FN/FH+PGP+A+pr0uuZ8d+GP+Ep8NS20B8vULdhcWUoOCkq8jntnp+Oe1ellmIhCbo1n+7qaPy7S+T/AAuupE02rrdHUUVzPgTxP/wlPhqK5mHl6hAxt72IjBSVeDx2z1/HHaumqK9GdCrKlUWqdgTuroKKKKxGcf458Hya/BBqelS/ZfEOnnzLO5U43Y58tvUH36Z9Cc2vA/i9PFWlyLcRfZdXs28m+tG4MbjjIB52nB/Udq6avPPHGhXuj6onjnw3HnULVcX9svAu4B1yP7wA/IDuBXs4KtHE01g6zs/sPs/5X5P8Hrs2ZyVnzI9GorM0DXbHxJottqunyb4J1zg/eRu6t6EGtOuScJQk4TVmik7hRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXBeO/FV6l5B4S8NYk1+/GGkB4s4j1dj2OOnp19M63jjxdH4T0YSRx/aNTum8mxtRyZZDwOBzgZGfwHeqngTwlJoFpNqOqyfadf1E+be3DHJBPPlg+g9u/sBj0KEYYel9brK/8q7vu/wC6uvd6dyHdvlRpeE/C1j4R0SPTrMF3J3zzsPmmkPVj/QdhW7RRXj1as603UqO7e7NEklZBRRRWYxCQqlmIAAySe1eceHgfHHjm48TygtpOlk22mKejv/FJ/n1H92r3xF1a5khtPCmkt/xM9YbyyR/yyg/jY+xGR9A3pXVaNpNtoej2umWa7YLeMIvqx7k+5OSfrXfzfVcK5/bqaLyj1fz2Xlcj4pW7F6iis3Vr2aFYrOywb+6JWLIyIwPvSEeig/iSB3rxmXJqKuytc/8AE71I2K82Fowa6PaWTqsX0HDN+A9a26rWFlDp1lHaw52IOWY5ZieSxPckkkn1NWaEKMWtXuwoooplkF7aRX9jNaTZ8uZChxwRnuPcdawA91NZw6nGm/VdNLQXUSDHnqMb1x7jDr9R6mumrHn/AOJd4ghuRxb34EEvoJVBKN+Iyv1CCpaNYR9rTdJ+q9V/wPxSNO2uYby1iubdxJDKodGHcGuI+JWi3RtbTxVo641fRG85cD/Ww/xofUYyfpuHeuhh/wCJLq/2Y8WF85aE9opjyyfRuWHvuHcVtkAggjIPaurBYqWFrRqx1tuujXVPya0OZe/Gz3M/QNatfEWhWmrWbZhuYwwGeVPQqfcHI/CtKvMPD5PgD4gz+GpTt0TWWNzprH7sUv8AFH/T/vn1Nen13Y7Dxo1L09YSV4vyf6rZ+aCLutdwoooriKK99Y22pWM1leQpNbToUkjcZDA15xoV9cfDXxFH4X1aZ5PD965OlXsh/wBSxPMTntyf1z0Jx6fWT4k8PWPijQ7jStQTMUoyrgfNG/Zl9x/9bvXo4HFxpXo1tact/J9JLzX4rQiUb6rc2aK8+8B+Ir601CbwX4kf/ib2K5tp26XkA6MD3IH449wa9Bq8Th5YepyS16p9Gns15MIu6uFFFFc4wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuF+IPia9tfsvhjw+d2v6r8kZB/494v4pD6cA4+hPauj8T+IrPwt4futWvT+7hX5EB5kc/dUe5P5cntXM/D3w9eR/avFWvLu13VvnKkf8e8P8MYHbjGfoB2rvwsYUabxdVXS0iv5pf5Ld/JdSJavlRv8AhTwzZ+E9Ag0uzG7b800pHzSyHqx/zwABW3WXf+JNE0vUbfT7/VrO2vLjHlQSzKrPngcH1PA9TxWpXkVas6s3UqO7erZokkrIKKKKzGFcP8RNXuTb2nhfSW/4mmst5WR/yyh/jc+nGR9N3pXYX17b6bYT3t1II7eCMySMewAzXD+AbK41m/vvG2pxlbjUCY7KNv8Aljbg8Y+uP0z3rvwajSUsVNaQ2XeXRfLd+S8yJa+6jr9F0m20LR7XTLNcQW6BB6se7H3Jyfxq/RRXkznKcnKTu2abBRRRUjCiiigAooooAKKKKACiiigDzTW/+KA+IUPiFPk0PW2FvqIH3Ypv4ZPx5J/4F6ivTc5GRWXr+iWviLQrvSbwZhuYyuccoeoYe4OD+Fcx8NdbupLK68Mau2NY0RvIfJ/1sX8Dj14wM/Q969uUvrmEVX7dOyl5x2i/l8L/AO3TL4ZW6M7uiiivNLCiiigDy66Vvhb4v+3wgjwnrEu25jA+WznPRwOyn+WR2WvU1ZXUMrBlYZBByCKoatpVprelXOm38QltrhCjr/UehB5B9RXFeAdVvNC1WfwHrkpe5s136bcNx9ot+wHuo7egI/hr3ef69Q9p/wAvILX+9HpL1Wz8rPuZfC7dGei0UUV5xYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVU1PUrTR9MuNRvpRFa26F5HPYD+ZPQDuat15dq7v8AEnxt/YMDH/hG9GkD6hIp4uZh0jB7gc/r/s114TDqrJyqO0I6yfl/m9l5kydtibwVpl34q11/HmuRFN4KaRaP0gh/v/U88+5PcY9IpqIsaKiKFRQAqqMAD0FOrjxuLliavPayWiXZLZf1u9Sox5UFFFFchQVW1C+t9M0+4vruQR29vGZJGPYAVZrzrxnNJ4t8U2fgq0dhaxkXWqyIeiDBVPqeD9Svoa6sJQVapaTtFat9kt/8l5kydkSfD+xuNXvb7xtqcZW51ElLONv+WNuDxj64H5Z7139MhijghjhiRUijUKiKMBQBgAU+uXGYl4is6lrLZLslsvuKirKxBeXcNhaS3Vw+2KJdzHGfwA7nsBVLSbSbdLqV8m29ugPkJz5MY+7GPpnJ9ST2xUCf8TzVfN66dYyEJ6TTjgt7qnQf7WT/AAituuTcle879EFFFFUaBRRRQAVV1KyXUdPmtWYoXX5HHVGHKsPcEA/hVqikOMnGSkt0ZMGzxDoBiu1McpzHMEODFMhwSp9QwyD9DUmj30txFJbXmBf2rCOcAYDf3XHsw59jkdqh/wCQb4iz0t9SH4LOi/8AsyD/AMh+9LrEEttLHrFojPPbKVmjUczQ9WX3YfeX3yP4qXmPExUZ+0hs9fl/wHf+mZ3j3wufFHhqSC3OzUbZhcWUoOCsq8gZ7Z6fke1SeA/FA8V+GYbuUbL+EmC8iIwUlXrx2z1/HHauggniubeOeB1kikUOjqeGB5BrzbWf+Lf/ABEh19Pk0LXWEGoAfdhn/hkP15P/AH37V7mAl9boPBv4leUPX7UfmtV5rzMJaPmR6fRR1orziwooooA5Dx74Tl1+whv9Lf7Pr2mt51lOvBJHJQn0Pv39s1e8EeLIvFugrclPJv4G8m9tiMGKUdeDzg9R+XUGuhrzXxdaz+CPE8fjjS4maxmIh1m2jH3lJwJQPUH9cepr2sDUWKp/U5/Evgfn1j6Pp2fqZyXK+ZHptFQ2l1BfWcN3ayrLbzIJI5F6MpGQamriaadmUFFFFIAooooAKKKKACiiigAooooAKKKKACiiigAoorhPiVr91b2dr4a0Zs61rTeRFg8xRfxufTjIz9T2rfDYeWIqqnHr17Lq35JaibsrmPEf+Fl+PjOfn8MaBLiMfw3Vz6+4H8sf3jXol3q+m2EoivNQtLeQjcEmmVCR64J6cVW8N6DaeGdAtNJsx+7gTBfGDI3VmPuTzXOa7L9t+KOg2gt5J00uzm1CRUAPzv8Auo85P/XQ1GPxMa9RRp6U4K0fTu/NvV/d0CMbLXc5vxj8KtO+InitNdsfE0aKI0juI4QJsbc4KkMNufT8a7C2u9e06eOyvru2klY7Ymuk2pcH/ZlThW/2WQn0LdapWq/278TU1BR9gbR7R4ZLeQbZ7nzSMFgODENuVOT82emK7S4tobu3eC4iSWFxhkcZBH0rz5pu2ppGco/Db5q//BXyM3+2Z7fjUNKu4B3kgH2hP/HPm/NRVyz1Sw1DItLyGZl+8qOCy/UdR+NUNl9onMXm3+nD/lmTunhHsf8Alovsfm/3ulUPFOr6Bb+Fp9duYbW9SNcQEqCzSdAoPVTnr3HPpTpQnUmqcNW9LFqrRl8UXF+Wv4Pf7zE8ZzSeK/E1n4Js3YWy4utVkQ/djGCqfU8H8V967+GGO3gjhhRUijUIiKMBQBgAVwvgjwlqOm6ONSm1GWDV9QxNch41kX/ZVsjdkA9mHJNdN9p1u1/19hBeoP47STY5/wCAPx/4/WuPrq8cPD4Ydur6v9F5JFRoKWsJJ376P8dPxZr0VlJ4i04OI7qR7KQnAW8jMOT6At8rfgTWorK6hlIZTyCDkGvPvcU6U4fErC0UUUyAooooAKKKKACiiigAooooAK86+INnceHtXsPHmmRlpLIiHUYk/wCW1sTjP1H+B/hr0Wo7i3hu7aW2uI1khlQpIjDIZSMEH8K68DinhayqWutmu6e6+78dSZR5lYSyvLfUbGC9tZBLbzxiSNx0ZSMg1PXm3gO4m8KeJL7wHfyM0SZutJlc/wCshJJKfUcn8G9q9JrpxuGWHq8sXeL1i+6ez/z87omLugooorkKCuN+Ifhi41nTIdT0kmPXdKf7RZyL1bHJj9846evsTXZUV0YbETw1WNWG6/pp+T2YpJNWZieDvE8Hi3w3b6nEAkp/d3EPeKUfeX+o9iK3q8u1D/i3XxDTVU+Tw9r7iK7HRbe57P7A8n8W9BXqNejjKMItVaPwT1Xl3Xqnp9z6kRb2e4UUUVxFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVXvr2302wuL67kEVvbxtJI57KBk00nJ2W4HJfEXxLdaVp1vo2j5fXdXb7Paqp5jB4aQ+mB39eexrX8JeGrXwn4dt9LtsMyDdNLjmWQ/eY/09gBXKfD+yuPEes3vj7VYisl3mHTIX/wCWFuOM/U/4n+KvRq68xqKhBYKD21k+8u3pHb1uyYK/vMKKKK8c0CiiigDG8VeIYPDHh261SfDGNdsUZP8ArJD91fz/AEBrH+H3h+fSdHk1DUstrGqP9pu3YcgnkJ+GenqTWPKf+E9+Igi+/oXh98t/dnufT3Ax+h/vV6PXdi5fVsOsOvilZy8l9mP6v5diY+87hWTq1zNNNHpNlIUuZ13Syr1gh6Fv949F98n+E1c1G/j02ye4dWc5Cxxr96RycKo9yah0mwktIZJrple+uW8y4demeyr/ALKjgfn1Jrx32CWr5UW7a3htLaK2t4xHDEoREHQAVLRRTLSsFFFFAwooooAKKKKAKWrWTahp0kMbBJxiSGQ/wSKcqfpkDPtmnabfLqOnQ3QUoXGHjPVHBwyn3BBH4VbrHg/4lviCW36W+oAzRegmUAOv4jDfg5qXozeHv03DqtV+v+fyGWv/ABJdV+wHixvGZ7U9o5OS8f0PLL/wIdhVjxDodr4k0G70m8H7q4TaGxko3VWHuDg1Z1Gwj1KxktpGZN2Cki/ejcHKsPcEA1BpF/Jd27xXSql9bN5Vwg6buzD/AGWGCPrjqDV0qkqU1ODs1qjjSs+R7P8Aqxy/w01y6msLrw1q5xrOiP5EgJ5ki/gcevHGfoe9d3Xm3xBtLjw5rVh490yMs9oRBqUSf8trcnGfqP8A4k/w16FZXlvqFlBeWsglt54xJG69GUjINe1j4xqqOMpK0Z7rtJfEv1Xk/II6e6+hPRRRXmlhUVzbQ3lrLa3MSywTIUkjYZDKRgg1LRTTad0B5t4MuZvBXimfwLqEjNZTbrjRp3P3kOS0WfUc/iD6ivTK5D4geF5PEmgiSxPl6xYP9psJl4YSLztz74/MA9queCPFEfi3w1Bf7RHdofJu4cYMcq/eGOwPUexr3MQ1iqKxkfi2n69Jf9vfmmZL3XynR0UUV5xYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBBeXkGn2U95dSCK3gjaSR26KoGSa89+HtpP4h1bUPHupxlZb0mHTon/5Y26nGR7nH8z/FS/EW5m8RazpngOwkZTesLjUZE/5ZW6nOPqSP0X1r0C1tobO0htbeNY4IUEcaL0VQMAflXdVl9Uwll8dX8IL/AOSf4LzJXvS9CQ52naATjgE4rkNM0nxHZ+J9b1qez0qV9QEMcKC/kHlRxqQFz5PdmY/j7V2FFeNc0Oc0Xw7c2/iLUPEWqTxSajeRJbpFBny7eFSSEBPLEkkliB7AV0dFFABXll5Zf8Jv8QrgaekCafozK00joTHc3QPAYAjOBkZ64B6giuo8feIpdC0JYLAF9W1B/s1lGv3t7cFvwz+ZFXfCXh2Lwv4dttNQhpQN88g/5aSH7x/oPYCu2FsPh3XfxS0j5d5fovNvsZyipvlZastWE1x9jvIjaX4GfJY5EgHVo2/iH6juBWlVe9sbbULfybqIOmdynJDKw6FSOQR6jms37Te6L8t8Xu7AdLtVzJEP+mijqP8AaH4jvXj7blXcfi27/wCZsuiyIUdQykYIIyDWU3h3T1YvaJJYued1nIYhn1Kj5T+INacUsc8SSxSLJG43K6HIYeoNPosmbwqzh8DsZH2fXLX/AFF7b3yD+C6j8tz/AMDTj/xyj+2pbfjUNLvLcDrJEnnx/mmWH4qK16KLGntoy+OKfpo/w0/Aq2ep2Oogmzu4J9v3hG4JX6jqPxq1VO80nT9QIa7s4ZXX7sjL86/Ruo/A1U/se5tudP1a6iA6RXH+kJ/498//AI9RqHLRltK3r/mv8jXorI+161a/8fOnRXaD+Ozl2sf+APgD/vo06PxFppkWO4mazlPAjvEMJJ9AWwG/Ami6F9XqbxV/TX8tvmatFICGAIIIPIIpaZiFFFFABRRRQBxXxH8P3Oo6TBrOk5XWtHf7TbMo5dRyye+QOnfGO9dB4Y8QW3ijw7Z6va4Czp86ZyY3HDKfof8AGtWvM7H/AIt98SH04/JoHiJzJbf3YLruvsG4H4r6GvawkvreFeGfxwvKPmt5R/8Abl8+5lL3ZX7np1FFFecWFFFFAGX4j0K18S6Bd6TeD93cJgNjJRuqsPcHBrnPhnr11d6Xc+H9WONZ0R/s0wJ5kjHCOPXgYz7A967evNvHcUnhPxRpvju0RvIUiz1VEH34WOA/1Bx+IWvYy2Xt4SwUvtax/wAS6f8Aby09bGc9PePTKKZFLHPCk0Tq8cihkZTkMDyCKfXHsUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXmnj2ebxZ4nsPAdjIywHF3q0iH7kIOVT6ng/Ur713HiHW7bw5oF7q92f3VtGW255duiqPckgfjXLfDLRLm10i48QaqN2r63J9qnJHKIeUQegwc47Zx2r0MI/q1KWMe60j/ifX/t1a+tiJavlO1t4IrW3it4I1jhiQIiKMBVAwAPwqSiivEbbd2ahRRRSAK5P4geIptD0NbbT8vq+ov8AZrNF+9uPBYfTP5kV1UkiRRtJIwREBZmY4AA6k1514TR/GXi+78Y3Kn7BbE2ulIw7DhpMep5/MjtXdg4QXNiKqvGGvq+i+b38kyZPojqvCXh2Hwv4cttNjw0ijfPIP+Wkh+8f6D2ArbJwMnpRWLqbNql5/Y0LEQ7Q99Ip+7GekYPq3f0XPqK8utVnVm6k3dt3G2orQLAf2zqA1V+bOHK2Kn+Ls0349F9sn+KtqkVVRFRFCqowABgAUtZpDjGyCiiimUFFFFABRRRQAUUUUAFZ+s2ct3p5Ntj7XAwntyf+ei9B9CMqfZjWhRSZUJuElJdCvY3kWoWMF3Dny5kDAHqPY+46Gs/V4nsrhNatkZmhXZdRqMmWHqcDuy8sP+BDvRY/8S7W7nTzxBc5u7f0Bz+9X/vohv8AgZ9K2KW6HiKSTtHZ6r+vLZleWO11PT3ikCT2lzEVYdVkRh/Ig15/4BuZvC3iK+8BahIzJETc6VK//LSEkkr9Ryfwb0rrbH/iTan/AGW3FncFpLI9kbq8X4csvtkfw1h/EnQLm/0q31zScrrWjP8AabdlHLqOXT3yBnHfGO9evldaMnLCVXaNTr2kvhf6PyZzNtrm6o7misjwx4gtvE/h2z1a1wFnT50zkxuOGU/Q5rXrnqU5UpunNWa0Zad9UFFFFZjCvM9Rz8P/AIkxasnyaD4hcQ3g6LDc/wAL+2eT+L+gr0ysfxT4ft/FHhu80i4wBOnyOR/q3HKt+Bx+td+XYmNCrap8EtJej6+qeq9CJxutNzborivhp4guNW8PyabqWV1jR5Psd2rdTt4VvxAxnuQa7WtMTQlh6sqUt1/Sfz3BO6uFFFFYDCiiigAooooAKKKKACiiigAqrqWoW+laZc6hdvst7aJpZG9gM/nVqvN/iVPLr2q6N4FtHYNqMouL5l6pboc/qQce6j1rqwdBV6yhJ2ju32S1b+4mTsiT4Y6fc3seoeMtTTF/rcm+MH/llbjhFHtwPwC16DUcEEVrbxW8CLHDEgREXoqgYAH4VJXHjcS8TXlVtZPZdktEvkiox5VYKKKK5SgpruscbO7BUUEsxOAAO9Org/iHqVzfSWXg7Snxfaqf37j/AJY24+8T9cH8AR3FdGGoOvVUL2XV9kt38kKTsrlXwsjeMvGF14vuFP8AZ9oWtdKRhwQPvSY9+fzx/DXolVNM0620jTLbT7NNlvbxiNB7Dufc9TVuscbiViKt4q0VpFdktv8AN+bHFWQUUUVyFGRLpc1jK9zo7JGWO6S0c4hlPcj+43uOD3B61ZsNUhvmeLa8F1GP3ttKMOnv6EejDIPrV6qd/plvqCoZN0c0ZzFPEdskZ9j/ADB4PcGla2xnyuOsfuLlFYy6lcaY6w6xt8onCX6DEbegkH8B9/un1HStnORkUJlRkmFFFFMoKbJGksZSRFdGGCrDINOooDYyT4csEJay86wc85s5DGv/AHx9w/iDSeRrtp/qru1v0H8Nyhic/wDA0yP/AByteilZG/1io/j9711/Hf7mZH9uPb8ajpl5a46yInnR/mmSB9QKu2epWWoIWs7uC4A6+W4bH1x0q1VK80fTtQcPdWcMko6S7cOv0Ycj8DRqHNRlumvTVfc/8y7RWR/ZF5bc6fq9zGO0V0PtCfmcP/49R9t1m1/4+tMjukH/AC0spRu/74fGPwY0X7h7FS+CSf4fnp9zZr1z3jXwzH4r8M3GnEhLkfvbWXp5cq/dOe3ofYmrsXiLTHkEU1wbSY8CK7QwsT7bgM/hmtQEEZByDWtCvOjUjVpu0ou6MqlGcdJq1zlfh94nk8R+Htt6DHq1g5tb6JuGEi8biPfGfrkdq6yvMvFCt4F8c2vi+BSNK1EraasijhT/AAS4/wA9D/er0xWV0DowZWGQQcgivVx9KDccRRVoVNUuz+1H5PbyaMIt7PoLRRRXnlhVTVNNttX0u6067Tfb3MTROPYjqPfvVuiqjJxkpRdmgOB+F2o3Ntbah4P1N86hocvloT/y0gPKMPb+hWvQa808eKfCvi7RfG8CkW4YWOphR1ib7rH6fzCivSlZXUMpDKRkEHIIr2sfary4qO1TV+Ul8S+/X0aMo6e72FooorzywooooAKKKKACiiigAooooAKKKKACiis/XNXt9B0O91W6P7m1iaQjONxHRR7k4H41UISnJRirtgcH4ub/AITP4gab4QjO7TtPxf6pjoxH3Iz9cjj/AGvavSQMDA6Vwvwu0i4g0GfX9RGdT1yU3kzHshzsX6YJP/Avau6rbNKkVUWGg/dp6er+0/v0XkkKC0u+oUUUV5ZYUUVT1bU7bRdJutSvH2W9vGXc9z6Ae5OAPc1UYuUlGKu2BxvxD1G51Cay8GaU+L3VDm4cf8sbcfeJ+uD+AI7iuy0zTrbSdMttPs02W9vGI0HsO59z1rjvh5plzdm88YaqmNQ1c7olP/LG3/hUfXA/ALXcSyxwQvNK6pHGpZ2Y4CgdSa6MxqKmlhIPSG/nLr92y9L9SYfzMqarqBsLZfJQS3czeVbxZ++59fQAAknsAadpmnjTrPyy5lmdjJPMRgySHqx/kB2AA7VT0qKS+uW1m6RlMi7LSJhgxQnnJHZmwCfQbR2NbFeUtdQj7z5n8goooqjQKKKKACiiigAooooAKKKKACiiigDM1y3lks1urZC13ZuJ4VHV8Ahk/wCBKWX8R6VetriK8tYrmBw8UqB0YdwRkVLWPpf/ABL9Su9JPEeTc2v+4x+dR/uuT9A60tmbr36TXWOvy6/dv95d1OwTUrJoC5jfIeKVfvRuOVYfQ/n0qPSb9761YToI7yBvKuYh0Vx3H+yQQR7EVfrG1ZG066XWoFJVF8u8RR9+H+9j1TJP0LD0pPTU5Je6+b7zi9O/4t78SJNLb5NA8QuZbX+7Bc909s8D8V9DXp9cz408Nw+MPC01nG6i4wJ7OcH7kg5Ug+h6Z9DUPw+8Tv4l8OD7YCmq2Lm2vom4YSLxkj3xn65Havery+uYZYpfHG0Z/wDtsvmtH5rzEvdfKdZRRRXmFhRRRQB5r4pP/CFfEPTfFifJpup4sdTx0Vv4JD+XX0U+tem1i+J9Cg8S+G77SJ8AXEZCMR9xxyrfgQDWL8Mddn1fwotpf5XU9KkNjdox+bcnAJ+o7+oNe25fWcHGr9qn7r/w/Zfy1j9xntK3c7SiiiuAoKKKKACiiigAooooAKKKKAGySJDE8sjBI0UszMcAAdSa84+G8b+INY1zxxcoR9vmNtYhuq26HHH1IGfdTV/4ratPaeFV0ixOdR1qZbGBR1wx+c/THH/Aq6jRdKg0PRLLS7YfurWFYgcdcDk/UnJ/Gu6T+r4Fy+1Vdv8At1av73ZfJk7y9C/RRRXimgUUUUAVNU1K20fS7nUbx9lvbxmRz9Ow9z0H1rjfh7ptzeveeMNVTF/qxzCh/wCWNuPuqPrgH6Ae9VvFTt4z8Y2vhG3YnTrIi61V1PBx92PP+ev+zXoaIsaKiKFVRgKBgAeld1aX1XDKmvjqavyj0X/b278rdyV70r9haKKK8g0CiiigAooooARlV0KOoZWGCCMgisY2N3o536WPPsx96wZsbf8Arkx6f7p49CtbVFJomUUyrY6hbajEz27klDtkjYFXjb0ZTyDVqs++0qO6lW6hka1vkGEuIxzj+6w6Mvsfwweait9VkhuEs9VjW3uXO2OVT+5nP+yT0b/ZPPpnrRfuTzNaSNWiiimaBRRRQAUUUUAFFFFADJYo54zHLGkiN1VxkH8Kyz4csYiWsWn09v8Ap0lKL/3xyn/jta9FKyZpCrOGkXY5rWNF1TUdIutMuZbTUrS4jMbJOhhk9iHXK5BwR8o5Fc34C8TSaNbzeEvEJmGoaV8qusTOGg42k7QcAAgZ6YK85r0mvPviNp1zpdzY+ONJjLXuknF1Gv8Ay3tj94H6ZP0BJ7CvVy1+2vgpSspax7KfT5PZ/J9BTqxfvTgn6aP8NPwO6s9QstQj8yzu4LhB1MUgbH1x0qzWNBbaH4msLXVY7eGZLiMSRXCjbIAR/eHzA+vPal/sm+tudP1i4UDpFeKLhPzOH/8AHq5JKcG4yWqK5aM/hlb1/wA1/kjYorH+36xa/wDH3pS3KD/lpYzAn6lH2kfgWqSHxFpcsqwvc/ZpzwIbpDC5PsHAz+GaXMgeGqWvFXXlr+W3zH69o8Gv6DfaVcgeXdRNHkj7p7N9QcH8K5r4V6xPfeFW0u/ONS0aVrG4UnnC8KfyGPfaa7avOLv/AIpL4yWt2Pk0/wASw+RL6C4TG0/U/KPqxr2cvftqNTCvf4o+sd1843+5HJPRqR6VRRXP+ML28g0G8ttLk8vUZbWZ45B/yyVVJL/XOAPdh2BrjKOgorE8G3r6j4I0K8kdnkm0+B3ZjkljGM5PrnNbdABRRRQAUUUUAFFFFABRRRQAV5t8RnbxJ4j0LwPAx8u5k+2agV/hgTOAfqQfxC16O7rGjO7BVUZJJwAK84+G6tr+s6/42nU4v5zbWW4fdt4+OPrgZ91NehgX7GM8W/sLT/E9F92svkRLW0e56IiLGioihUUAKoGAB6U6iivENQooopAFeceKHbxr40tfCUDE6ZYEXWqOp4Y/wx5/H9f9mup8Y+JI/C3hu41AgNOf3dtH/wA9JT90f1PsDVLwF4ck0DQfMvSX1W/f7TeyN94u3O0/TP5k+tehh39WovFP4to+vV/9ur8WiH7z5TqERY0VEUKqjAAGABWLdf8AE71M2K82Fowa6PaWTqsX0HDN+A9as6vezQrFZ2WDf3RKxZGRGB96Qj0UH8SQO9WbCyh06yjtYM7EHLMcsxPJYnuSSST6mvFerHL3ny9Ov+RZooopmgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVk67G8cEWpwKWmsG83avV48YkX8V5A9VWtaik9S6c+Sal/XmvmNjkSaJJY2DI6hlYdCD0NOIyMGsfRf9CmudHbgWxElt7wMTtH/ASGX6BfWtihO46sOSbS26enQxdOP9kagdHfi2kBksWPZerRf8B6j/ZOP4TXG+J1bwH47tfFsAI0jUyLXVUUcI38MuP89D/erv8AVLAajZGIP5UyMJIJQOY5B91v8R3BI71QlgtvFvhu703UYQjSK1vdQjkxSDuPxwyn0wa7suxSw1b94rwkrSXdP9VuvNI5HG3u/d/X9aG6rK6hlIZSMgg5BFLXn/w01e6gS98Haw//ABNNFbYjH/ltb/wMPYAgfQrXoFa4vDPDVnTbv2fdPVNeqLi7q4UUUVzFBXm94f8AhDvi/bXg+TTfEsfkTf3VuV+6fxyB/wACavSK5L4k6C+v+CrxLfIvbTF3asv3hInPHuRkfjXpZXWjCv7Oo/cmuV/PZ/J2fyImtLrodhRWJ4Q15PE3hPTtWUjfPEPNA/hkHDj/AL6BrbqKtOVKbpz3Ts/kCd1cKKKKgYUUUUAFFFFABRRVPVtRh0jR7zUp/wDVWsLzN7hQTiqjFykox3YHAp/xVPxqkk+9Y+GrbYvcG4k6/kM/igr0euE+E2nTQeEDqt5zfaxcPfTMRydx+X8Mc/8AAq7uts2mvrHsY/DTXKvlu/nK7FTWl+4UUUV5ZYVheL/EcXhfw5c6i4DTAeXbx/8APSU/dH9T7A1u15xB/wAV58Q2uj8+heH32Rf3Z7nufcLj9B/erswdKEpOpV+CGr8+y+b0/HoTJ9EbngPw7LoOhGW+JfVr9/tN7I33i7c7T9M/mTXU0UV5+Irzr1ZVZ7stKysgooorIYUUUUAFFFFABRRRQAVFcW0N3bvBcRJLC4wyOMgipaKBbmLsvtE/1fm3+nD+AndPCPY/8tF9j83+90rUtLu3vrdbi1mWWJujKfzHsfapqy7vSW+0Ne6bKLW8bl+Mxze0i9/94YI9ccVOxFnHbVGpRWdZass0/wBju4jaX4GfJc5DgfxI3Rh+o7gVo07lKSkroKKKKZQUUUUAFFFFABTZI0mieKRFeN1KsrDIIPUGnUUbAebeDZX8F+MLzwRdO32C5LXekSOf4TktHn1HP5E9xXpdcb8RPDc+uaEl3ppKazpj/arGRfvbl5Kfjj8wK1fCHiWDxX4ZtdViwjsu2ePP+rkH3l/qPYivcxb+t0Y41b7T/wAXR/8Aby/FMyj7r5TdqOaCK4iMU8SSxt1R1DA/gazpPEFkZGisxLqEynBSzXeAfQvwi/iRTduuX33ng0yI9k/fTfmcIp/Bq8vmXQFUSfu6vyIp9D02wiae3updJReS0E+yNf8AgDZT9K8t+Lt5rVz4Ut5NML6nDaXaXH2+KxdGg2hvmDD5WHuowK9bg0CwjmWedHvLheRNduZWU/7IPC/8BArSZVdCjAMrDBB6EVVGcqU1ODs12NpV61RWqNP11f37nH/D3xPqOsfDax13XUd7lw+9reBnaQK5UMI0BOeOgHvxVm3txq2m3Gt3curWjXce17ZYGWSOIEhUMZQsTyScZ5Y44xWH8L2bRr/xF4PlY/8AEsvDLbBupgk5X+h/4FXo9epjMOqFZwTutGn3TV0/uZhF3Vzjvhb9qi+Hek2d9aXVrd2sRhliubd4mGGIH3gMjGDxXY0UVzFBRRRQAUUUUAFFFFABRRRQBxPxU1iXTPBM9raZN9qbrY26r1Jfhsf8ByPqRXQ+HtHi0Dw9YaVDjZawrGSP4m/ib8Tk/jXGar/xUvxn03TvvWnh+2N5MO3nPjaPqPkI+hr0WuzHv2WGpYdbv3389I/gr/MmOrbCiiivHNAoorjfiHr9xp2kw6TpeW1jVn+zWyqeVB4Z/bAOM9s57Vvh6Eq9VU49fw7v5bibsrmRa/8AFe/ENr0/PoWgPsg/uz3PdvcDGfwX1r0C8u4bCzlurh9sUS7mOMn6AdyegFUPDOg2/hrw/a6Xb4IiX53x/rHPLN+J/TFRJ/xPNV83rp1jIRH6Tzjgt7qnQf7WT/CKjMMTGrUUafwR0j6d/VvVk6xXm/6/An0i0m3S6lfJtvboDKE58iMfdjH0zk+pJ7YrUoorhSsXGPKrBRRRTKCiiigAooooAKKKKACiiigAooooAKKKKACiiigDH1wG0NvrCA5syfOx/FA2N/5YD/8AAPetcEEAggg9CKGVXQoyhlYYII4IrJ0Jmt0n0mViZLFgsZJ5aE8xn8gV+qGp2Zv8dLzj+T/yf5+Rr1i6oDpV6NaiB8naI75R3jHST6pnn/ZJ9BW1SEBlKsAQRgg96bRzSjzI88+IthcaXdaf470hN91phC3aL/y3tj1z9Mn8DnsK7zTdRttX0y21CzkEltcxiSNvY+vvWVYRpZTy6BdKHtZI2a038houjRH125x7qR6GuS8FSyeDPF974Hu3b7FOWu9Ikc9UOS0efUc/iGPcV7dCX13B8j/iUtV5w6r/ALdeq8m+xknrfv8AmemUUUV5xqFFFFAHnPgD/inPGniTwe3ywCT+0LFe3lvjcB7DKj8DXpNebfEH/in/ABb4Y8XqdsUM/wBgvG/6ZSZwT7DLn64r0mvcxz9tGniv51r/AIo6P79H8zKOl4hRRRXnlhRRRQAUUUUAFee/Fy5lm8P2Hh61bFzrd9HajHZAQWP57c+xr0KvOLn/AIn/AMcreE/Nb6BYGQg9BNJ/9iyn/gNehltoVnXe1NOXzW3/AJNYie1u531pbRWVnBaQLthgjWONfRVGAPyFTUUV4jbbuzUKKKZNNHbQSTzOscUal3djgKoGSTQlfRAcl8QdfuNM0mLTNMy2saq/2a1VTyueGf2wD17Eg9q1/DOgW/hnw/a6Xb4IiX94+P8AWOeWb8T+mK5TwZDL4q8S3nja8RhbjNrpUbj7sQJBf6nkfi3tXoVdePl7CCwcd1rL/F2/7dWnrcmGvvBRRRXlGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBXvbG21CDybmIOudynJDKw6MpHII9RzWb9qvdF+W+L3dgOl2q5kiH/TRR1H+0PxA61tUUrEON3daMZFLHNEssTrJG43K6nIYeoNPrIl0uexla50dkjLHdJZucQynuR/cb3HB7g9as2GqQ3zPFteC6jH722lGHT39x6EZB9aL9wUtbS3L1FFFMsKKrXuo2enIHvLmKENwu9sFj6AdSfYVR/tW+vONN0yTYek94TCn4LgufxUfWlchzinY16oXetWFlN5Ek++46i3hUySn/gC5P49Kr/2Rc3fOp6lNKp6wW2YI/0O8/i2Par9pY2lhD5VnbRQR5yVjQLk+px1NGorzeyt/X9dSh9q1m9/49rKKxiP/LW8O9/wjQ4/Nh9K88n0qDwX8QLdNS/0nQdec7zJ8scd2TnLIPlwe2R3Poa9arE8W+HLfxV4bu9KnwrSLuhkI/1cg+6359fYmu/Lq1OlV5K+tOWkv0frF6omdK6u9WbccaQxrHGioijCqowAPpTq434c+JLjWtDksNTymtaU/wBlvUY/MSOFf8QOvqDXZVWJw88PVlSnuv6TXk90XFpq6CiiisBnnPiH/invi/4e1lflt9XibTbgju+QUz7klR/wGvSa4T4tabJe+A7i7t8i602VL2Fh1UoeT+Clj+Fddo+ox6votjqUWNl1AkwHpuUHH617VZ+2wdGt1V4P5ar8Hb5Ga0k0XaKKK4SgooooAKKKKACiiigApskiQxPLIwVEUszHoAOpp1cd8UtXbSPh7qbxk+fcqLSIDqTIdpx77dx/CtsNRdetCkt5NL7xN2VzJ+FEb6ja634qnUiXWb53jz2iQkKPwJYfhXolZXhnSRoXhjTNLAANtboj47vj5j+Jya1ayzGuq+KnUjtfT0Wi/BIcFaKQUUUVxFEc88Vrby3E8ixwxIXd2OAqgZJNefeCoJfFPiO98b3sbCE5ttLjcfciGQX+p5H1Le1SeP72fXNTsfBGmyFZb0iW/lX/AJY24OfzOP5D+Kutle08O6JHHBCRDAiw28Cfec9FQe5OP5mu6cvqmF/v1Pwh/wDbP8F5kNpu72RHq1xNPNHpFlIUubhd0sq9YIehb/ePRffJ/hNaNtbw2ltFbW8YjhiUIiDoAKqaTYSWkMk10yvfXLeZcOvTPZV/2VHA/PqTWhXjruOKfxMKKKKZoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVj6x/oF5a6wvCRHyLr/rk5HzH/dbB9gWrYqOeGO5gkgmQPFIpR1PQgjBFJo0pTUJpvbr6dSSisrQppPsslhcOWubF/Idm6uuMo/4qRn3z6Vq0J3FUg4ScX/Xn8yjqtgdQtAsTiK5iYS28uPuSDofoeQR3BIrj/GWlTeLPC0Wp6cjQeINIlM0Kjl0lTG+P3zgEevynoa76sXUf+JRqA1dOLWQCO+X0HRZf+A9D/snP8Nb4bEzwtaNenuv618ns/I5qkVv06/5/ITwh4kg8WeGrTVYcK7rtmjH/LOQfeX+o9iK3a8wU/8ACvfiV/c8PeJH4/uwXX9A2f19Fr0+vSx9CFOaqUf4c1eP6r1i9Px6ji21Z7hRRRXAWc7460X/AISDwTqunKu6V4C8Q/6aL8y/mQB+NHw/1v8A4SDwLpN+zbpTCIpT33p8rE/UjP410VedfDY/2N4j8WeFW+VLW9+12y/9MpRnA9gNn517GEftcFUp9YNSXo/dl/7aZy0kmekUUUVxlBRRRQAUUUUABOBk9K83+FedTbxJ4nbOdU1JhET/AM8k+7/6ER+FdR451P8AsfwNrV8G2ulq6o3o7Dav6sKr/D7TP7I8A6LaFdrfZllcejP85/Vq7b+zy+pLrOSj8l7z/HlJ3mjpaKKK8Y0CuA8f3txrWo2PgnTZCs1+RLfSr/yxtwefxOP0A/irsNb1e20HRrrVLxsQ26FyO7Hso9ycD8a5X4eaRc/Z7rxPqy/8TXWW80g/8sof4EHoMYP02+ld+EtQhLFy+zpHzl/9rv8Ad3Ilq+U7Cys4NOsYLK1jEcECCONB2AGBU9FFeQ25O73NAooopDCiiigAooooAKKKKACiiigAooooAKKKKACijoMmsqTxBZeY0Nn5t/OpwY7Rd+D6Fvur+JFK5Lko7mrWfqtnZXEAnu5RbND8yXQcI0R9Qx7eoPB7g1Bt1y++80GmRHsv76b8zhFP4NT4tAso5BPMj3tyvKy3jmQg+2eF/wCAgUtyG3JWS+88l1X41aro/jqHQEsbO/s1kjiN180bT78YdTkqBz6EHGeK9XFlq17zeagtrEf+WNiOfoZGGT+CrWPpmt2useI9YtdT0WztbvRkUSzzSK52Ou4FSVHyEA5PHTkUaI+uRWxu4NJNtYHldOluQz49Y8gbBjkIx7/wVc1otBNNWvqjobLSLCwcy29sombhpnJeRvq7ZY/nV6qtjqFtqMJkt3JKnbJGwKvG391lPIP1q1Uq3Q0jy293YKKKKZQUUUUAebeM4pPBvi2y8cWiMbKYraavGg6ocBZMeo4H4KO5r0iKWOeFJonV45FDI6nIYHkEVX1HT7bVdNubC8jElvcRmORT3BH864b4c6hc6ReX/gbVZC13pZ32cjf8t7Yn5SPpkfTOOxr24y+uYO/26Ss/OHR/9uvT0a7GXwy8meiUUUV5pZBfWkd/p9zZzDMVxE0Tj/ZYEH+dcX8H7uV/BJ0y4P8ApOlXc1nIO/Dbh/6Fj8K7uvPPCmdI+Lfi3SOkV9HFqMQ9+jn8Wf8ASvXwD9pha1HtaS+Ts/wl+BnLSSZ6NRRRXIUFFFFABRRRQAUUUUAFeceP/wDiceOfB3hwfNH9pbULhe22MZXPscOK9HrzjRv+Jz8bPEF/96LSbKKxjPozfMf1Dj8a9DL37N1K/wDJFv5v3V+LInrZHolFFFeGahWdrus23h/RLrVLs4ht0LYzyx6BR7k4H41o15vrhPjrx5D4ejO7RtHYXGoEfdkl/hj/AKf99eldeDoRqzvU0hHWXov1ey82TJ2Whf8Ah3pFylpdeJtWH/E11hvObP8Ayyi/gUegxg/THpW5YA6zqA1Z/wDjzhytip/i7NN+PRf9nJ/ipdSY6peDRYCVhCh75142xnpGPdu/oufUVsqqoioihVUYAAwAK4cViJYms6suvTsui9EiYq7t0X5/1+ItFFFYmwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY+o/8S7VrXUxxDLi0uvoT+7Y/Rjj6OfStioby1ivrOa0nXdFMhRh7EYqnol1LcWJhumzeWrm3uD6svRv+BKVb/gVTszeXv0lLrHR+nT/L7jSprosiMjqGRhhlIyCPSnUVRznE614ei1rRL3wheNg+X52mXD8kBfujPqhIU+qkepqb4c+JZ9c0J7LUsprOlv8AZb1G+8SOA/44/MGuh1awe+tVaBxHeQN5ttIeiuOx/wBkgkH2JrzjxBdnw54jsPH9lC8dpORY65bDkxnO3cR6gjGe+F/vV7GWy+sU5YCW71h/i6r/ALeWnqkYP3H/AFt/wPyPWKKZFLHPCksTq8bqGRlOQwPIIp9cLVjYK871f/iSfGvQ9QHywaxZyWUp7F0+Yfj9wV6JXnvxeje28O6drsK5l0jUYbnI/u5wR+ZWvTyd3xSpPaacfvWn42IqfDfsei0U2KRJokljYMjqGUjuD0p1c4wooooAKKKKAPPPjC7XPhzTdEjY+Zq2pwW20d1zn+YWu+RFjjVEUKqgAAdgK8/8Wn+0vi34N0z+C1Se+cfh8p/NP1r0KuvHvkw1Cl5Sl97t+UUTDdsKKK53xr4kHhjw5LdxjfeykQ2kQGS8rdOO+Ov4e9ebRpSrVFThuy27K5zWvE+OPHUHhyM7tH0hhcaiw6SS/wAMf+f9r0r0UAAAAYArm/A/hs+G/DyRXB36hcsbi8lJyWlbkjPfHT8z3rpKeYV4TmqVJ+5DRefd/N/hYILq+oUUUVwFhRRRQAUUUUAFFFFABRRRQAUUVWvdRs9OjD3lzFArHC72ALH0A6k+wpCbSV2WaKyP7VvbzjTdMkKHpPeEwJ+CkFz/AN8j60f2RdXfOp6nNKp6wWuYI/zB3n8Wx7UX7Ec9/hVyxea1YWUvkS3Aa4PIt4VMkp/4AuT+OKr/AGrWb3/j1so7GM/8tbw73/CND/Nh9Kv2dhaafF5VnbRQJ1IjQLk+p9TViizDlk93939f5GR/YENwd2p3M+oH+5M2Iv8Av2uFP/AgT71qxxxwxrHEioijCqowAPYU6ii1ilFR2CkJCqWYgADJJ7UtZus6FYa/Zm01FZ3tyCGjiupYQ4PZtjDcOOhzTRRwfiVktvGuh+Lmhxo88i6ZcsSR5qsS0UzDpsEmME+oPTFenVl6z4d0zxBpP9l6pDLPZfLuj+0SJu28jcVYFuQDyTyM1etbaOztkt4jKUQYBllaRvxZiSfxNU2mkIq32lR3UwuoJGtb5BhbiMckf3WHRl9j+GDzUVvqskNwlnqsa29y52xyqf3M5/2Sejf7J59M9a1aiuLaC7t3guIklhcYZHGQai3Ylx1vElorF232if6vzb/Th/ATunhHsf8Alovsfm/3ulalrd299brcWsqyxN0ZT+nsfahMIyvo9yaiiimWFcF8SdJuoY7Pxfo6f8TTRW8xlH/La3/jQ+wBJ+hau9pGUMpVgCpGCD3rpweKlha0asVe267p6NP1WhMo8ysU9F1e117RrTVLJ91vcxh19R6g+4OQfcVfrzPwyx8CeO7nwnMSukaoWutKZjwj/wAcX+H0Hdq9Mrtx2HjRqfu3eEleL8n+q2fmiYu613CvPPEn/Eq+MXhPU+kd/BNYSH1IyV/8ecflXodeefF3/RNF0bWl+/pmqwTk/wCzk5/XbW+Tu+LVP+dOP3ppfjYVT4bno1FAIIyDkGiucYUUUUAFFFFABRRRQAhIAJJwB1NedfCMG80jWdecfPquqTTg/wCwDwPzLV1fjG/OmeC9avA214rKUof9oqQv6kVm/Daw/s74daHBjBa2Ex/7aEv/AOzV235MvqS/mlFfJJt/jYneaOqoooJwMmvGNDm/G/iX/hGPDktzEN99MRBZxAZLyt04746/hjvWd4c0pvBfhSGAqLjWr6TfICcmW4bk5P8AdUdT6AnvWRpksfjTxxc+I7lwNB0LdFZlz8jyjlpfoOv/AHz6Guy0qKS+uW1m6RlaRdlpEwwYoTzkjszYBPoNo7GuzHS+r0VhI/E9ZfovktX5vyMrtvT+vMt6Xp406z8ouZZnYyTzEYMkh6sf5AdgAO1XaKK8k2SSVkFFFFMYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY93/xLdet70cW96BbT+gkGTG345K/ivpWxVbUbKPUdPntJCVWVcBh1U9Qw9wcEfSkzWjNRl72z0fp/wN/VFmiqGj3sl9pyPOAt1GTDcKP4ZFOGx7HqPYir9C1InBwk4vdBXNeINOtgLl7qMPpWop9n1BP7pPCy+2OAT6bT/DXS0yWJJonilRXjdSrKwyCD1BqlJxalF2a2Mpx5kcB8N9SudKur/wADatIWvNKO60kb/ltbH7pH0yPwIHY16JXk3jPTr7SprXWLDc+reHx50LE83djnDKx7lMkH2Oepr0vRtWtdd0a01Syfdb3MYdfUeoPuDkH3Fe3jeXEQjjoL4tJLtNb/ACl8S+a6GdOX2WXqwPG+nf2r4H1qzA3M9pIyD1ZRuX9QK36RlDqVYAqRgg964aNV0qkai3TT+40aurHO/DzUf7U+H2h3ROW+yrEx9SnyH9Vrpq87+DzNbeG9S0dz8+l6pPbYPYZB/mWr0SvUzKmqeLqRjtd29HqvwIg7xQUUUVxFBRRRQB51Y/6f8eNXmPK6bpUduPZnKv8AyZq9CrzzwCftfjnx3qB5zfpbA/8AXMMp/pXoddOb6V40/wCWMF/5Km/xbJp7XCvONK/4rrx9Lrb/AD6JojGCxH8Ms/8AFJ+HH/jvvWl8RNauYLG28PaUc6vrDeRFg8xx/wAbn044z9T2rodA0W28PaHa6XaD91Am3djl26lj7k5NYxl9Vwzq/bndLyj9p/P4V8yviduxpUUUV45oFFFFABRRRQAUUUdKACisqXxBZeY0Np5l/OpwY7RfMwfRm+6v/AiKbjXL7q1vpkR/u/v5vzOEU/8AfVK5n7RdNTUmmit4mlnlSKNRlndgoH1JrL/t5bnjS7O4v/SVBsh/7+NgEf7u6nw6BYpKs9wr3twpyJbt/MKn1UH5V/4CBWpRqHvvyMj7Fq97zeX6WkZ/5Y2I+b6GRhk/gqmrNlo9hYSGWC2Xz2GGncl5G+rtlj+dXqKLDUEncKKKKZYUUUUAFFFFABRRRQAUUUUAFFFFABWXdaSwuGvdNlFreNy/GY5/Z17n/aGCPccVqUUrEyipbmdZass8/wBju4jaX4GfJc5DgfxI3Rh+o7gVo1WvbC21CDybmMOoO5TkhkYdGUjkH3FZ32q90X5b8vd2A6Xar+8iH/TRR1H+0PxA60r23J5nH4tu/wDmbVFMiljmiWWJ1kjcbldTkEeoNPqizlfH/hh/Evh1hZkx6rZOLmxlU4KyrzjPv0+uD2q14I8Tp4s8M29+QEu0/c3cWMGOVfvDHbPUexroK8z1H/i33xHj1Zfk0HxA4hu+ywXP8L+2eT+LHsK9rAy+tUHg38Ubyh/7dH5rVea8zOXuvmPTq5H4oWX2/wCG2txYyUgEw9tjB/5LXXVn67a/bvD2p2mM+faSxY9dyEf1rnwdX2WIp1O0k/uY5K6aGeF73+0fCej3hOWnsoXb6lBn9a1q4v4TXf2v4ZaMxPzRo8R/4DIwH6AV2ldmNp+yxNSn2k19zJi7pMKKKK5igooooAKKKKAOB+Ml00Hw3vIE/wBZdzQwLjuS4bH5Ka7SytlsrC3tU+5BEsa/RRj+lcJ8Vf8AS7jwjpX8N1rUTMP9leD/AOhV6FXXjPdwVGPdyl+S/QmPxMK4j4i61cxWVt4c0k51bWW8lMH/AFcX8bn044z9T2rsLy7gsLKe8upBHBAhkkc9FUDJNeY+GnvdZ1S58VyR41LVS1vpUUgyLa2XhpSPQfqf96ubCKNJSxVRaQ2XeXRfq/JeYVJWVjptL0a2it7Xw7ZjOlaYF+1Pj/j4m+9sP4nc31A9RXW1WsLKHTrKO1gzsQcsxyzE8lie5JJJPqas15M5ynJzm7t6suEbK73CiiikWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY7/APEt8RpJ0ttSGx/RZ1Hyn/gSAj/gC+tbFU9Vsf7R02W3V/LlOGik/uSKcq34EA0aVff2jpsVyU8uQgrLH/ckU4ZfwYEVK3sb1PfpqfVaP9Pw0+RcoooqjAztZ09r61V4NgvID5kBf7pOMFG/2WGVP1z2FedeBdRXwr4tm8NPvj0nVC1zpgk6wyg4kgPuCCMew/vV6tXnPxL8MSXdl9vsSY7hZVmjkXgxXC4CvnsGwEPuEPY16WWYiEJyoVnanU0fk/sy+T38mzCquV86/r+v62PSKK53wR4nj8WeGLfUMBLpf3V1F0Mcq/eGO2eo9jXRVnWozoVJUqis07M0Turo898Ff6B8T/HGmHgSyQXiD/eUlj+bivRa85jH2H4+v2GoaJn6sr/4JXo1evmD5pU6n80Iv7kk/wAjOHVBRRRXnlhRRUVzL5FrNN/zzRm/IZppXdgPPvhAfP0PW788td6zcS59Rhf65rvbu6gsbOa7uZBHBChkkduiqBkmuG+DMXl/DSxk7zSzOT6/vCv9KZ45uZvEuvWXgewkZVlxcanKn/LOEHIX6nj/AMd9a78dRVfNKsW7Ri3d9lHR/lp5kRdoIPAtrP4h1i+8cahGVa6zBp0T/wDLKAHGfqf8fWvQKitreG0tora3jWOGJAkaL0VQMAVLXiYzE/WKrnay2S7JbL+uprFWVgooorlKCiq15qFnp0YkvLmKBTwu9gCx9AO59hVH+1r28403TJWU9J7wmBPwUguf++QPelchzinY16oXmtafYy+TLcBrgjIgiUySn/gC5P6VX/si7u+dT1OaRT1gtcwR/iQS5/76x7Vfs7C00+LyrO2igQnJEaBcn1PqaNRXm9lb+v66lD7XrN7/AMetlHZRn/lrenc/4Rof5sD7Uf2BFcfNqlzPqB/uTNti/wC/a4U/8Cyfeteii3cPZp/FqMiijhjWOKNY41GFVBgD6Cn0UUywooooGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZEulz2MrXOjskZY7pLNziKU9yP7je44PcHrVmw1SC/LxbXhuo/9bbSjDp747j0IyD61eqnf6Zb6gEaTdHPHzFPEdskZ9j/MHg9waVrbGfK46x+4uVk+JdBtfE3h+80m7GEnTCvjJRxyrD6HFNTUrjTHWHWdvlk7Y75BiNvQOP4D/wCOn1HStjrV0qsqc1Ug7NO69RpqSscV8Ntfur7S7jQtXO3WtGf7NcBjzIg4Rx65AxnvjPeu3rzbx5bTeF/EFj480+NmWHFtqsSf8tYGIAb6jj/x3sK9EtrmG8tYbq2kWSCZBJG69GUjII/CvYx8IVFHF0laM912kviX6ryaJjp7r6HB/Bk+X4PvLP8A589Tngx6Y2n/ANmr0SvOvhd+51LxpZjgRa5MwHsx4/8AQa9FrszXXGTl3s/vSf6k0/hQUUUV5xYUUUUAFFFFAHnfjLF38VfAtl2ja5uCPogI/wDQDXoNee6p+/8AjzosfUW+kSS/TczrXW+JNetvDWgXeq3OCsKfImeXc8Ko+prsx8JTWHowV3yfi5Sf6kxe7OJ+ImqDWNVt/CMMzR2ygXerSpyUhBBCfVjjA9SvrXYaBphtIPtU0KwzyoqJCOlvCv3Ih9ByfUk9sVxfw60G5vWm13VQXnuJzcSlh/rJecD/AHUz0/vE/wBwV6bXn5hVjdYem7xh17y6v9F5IVNc7538gooorzjcKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsaP/iW+I3i6W2pDzE9FnUfMP8AgSgH/gDetbNUNZspL7TnWAhbqJhNbse0inK59j0PsTSZtQklLlls9P8Ag/J6l+sVPFWkyXlzaRyXUlzbECeJLKZmjyMjcAnGRyPWtHT72PUdPgu4wVWVc7T1U91PuDkH6VxHgu51GbT9d8Q2enx3barqM00Ba4EZeKM+VGOQccR5/Gqik1cylFxk4vdHbWGpWWqWxuLG5jniDFGZDnaw4KkdQR3B5qaeCK5t5IJ0WSKRSjow4YHgiuU+HUNpJoFxrFvdm5l1e7lvLhvL8sJITsMYXJwF27epzjPeuvokrOxO547bzS/Db4llLlz/AGPrDBJZGPAfnZIffqG/4Ee4r2SuY8ceFYfFnhyeyIAuVBaB+mG9PocD8QD2rL+F3iabWNCk0nUiRq+ksLedX+86jhX557YPuPevZnP65hlV+3Tspecdoy+Xwv8A7d7mEPclyPboQeJR9l+Mvg266LcQ3UB98ISP1YV6LXnPxCPk+MvAd1026k0P/fewf0r0aunE+9hsPL+61905f5lL4mFFFFcJQVm+IZPJ8NarLnGyzmb8kNaVYvjBtngnXm9NOuD/AOQ2rXDq9WK81+Ynsch4L1m28L/BPT9TuvuQwSMqZwXZpG2qPqTWl8PdDubPTZ9b1UbtY1d/tE5I5RT91PbAOce+O1cJ4KibxpH4e0llJ0TQrdJ7rP3Zpzkqv0Gf/QvUV6xL4gsRK0NqZL6dTgx2i+ZtPozfdX/gRFdGd1Fh6lWivinJyl6Xbivn8T+REGrJs1aZNNFbxNLNIkcajLO7AAfUmsvGu33U2+mRH0/fzf0RT/31T4fD9isqz3KyXtwpyJbtvMKn1UH5V/4CBXzlzTmk/hX3jP7fS540u0nvz2kQbIf+/jYBH+7uo+x6ve83l+lnGf8AljYjLfQyMP5Kp9616KLdw5G/if6FGz0ewsJDLBbr55GGnkJeVvq7ZY/nV6iigtJJWQUUUUxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAjosiMjqGVhgqRkEVjfYbvRzv0sGezH3rFmwUH/TJj0/3Tx6Fa2qKTRMopmekun+INNuLdgJYJFaG4gkUqy5GCrKeQcGuK+H13P4c1q/8BalIzNa5uNMlf8A5a27HOPqP/ivSu1vtKjuphdQSNa3yDC3EY5I/usOjL7H8MHmuB+IEF80Fnq6wra+ItHk861lTJiu4/40U+pHOw89QM5zXq5XWjJywdZ2jU2faX2X+j8n5GU246svfD/5PHnj6HsL2GTH+8HP9K9Fryr4V6xBrvjPxhqdtkRXYs5QpPKnY2R+ByK9Vr082hKGK5ZKz5YX9eSIU3eIUUUV5pYUUUUAFFFFAHnaATfH6cn/AJY6CMfjKP8A4qsjxE83xB8fw6DaORpOktvupV6GXofxH3R756is/wAU6/PoXxW12SzRn1C40uKztFUZPmOyEHHsAT9cDvXofgrwvH4V0CO1OHvJf3l1L1LOe2e4HT8z3r0syq/VowqL4nCKXkmtX+Nl830MF775F8zetraGztora3jEcMShEQdABUtFFfMHUlYKKKKBhRRRQAUUUUAFFFIWVQSSAAMnJ6CgBaKa0iJu3Oo2jc2T0Hqfbg/lQ0sa7tzqNi7myeg9T7cH8qAHUU1pEXduYDYu5ueg9f0NDSKu7OflXccAnjn8+lADqKa0iruyG+VdxwpP5ep46ChpAu7Ib5RuOFJ/L1PHSgB1FNZ9u75WJUZ4HX2HvxQzkbsRs20ZGMfN7Dnr/jQA6ims7DdiNmwMjGPm9hz1+vrQzMN2IycDI5HzH0/z60AOoprFxu2oDgZXJxk+nt2oYv8ANtVTgfLlsZPvxx2oAdRTWMnzbVU8fLlsZPvxx2obzPm27eny59ff9KAHUU1hJ821lHHy5GcH3557UMJPm2soyPlyucH3557elADqKawc7trKMj5flzg+vXntQysd2HxkYGB0PrQA6imsrHdiRlyMDGPl9xx/nFDITuxIwyMDGPl9xxQA6imshbd87DcMcdvcUNGG3ZLfMMHDEY+npQBxuuanBoF3daZJrljo66oGmtZ7tdypIflkAG9cHJVwScZLVa0vw1q+l+GLPQ7TW7WG3t7dYBPDYES4AwWUmUqGPJzgjJ6Vz/xJ+Ew8f6tY6gmrNZPBH5MitEZAybicgbhg8n68elegWVkLCwgtIZXZIIkiQyfMcKMZPck/Wq0UVZlVJubu9yHQ9FsvD2i2uladGUtbZdqBjknJyST3JJJPua0KaS43YVT0xz+dBfGcqwAYAcZznHPHbn9PSp3JHV5j43spvB/iq08d6bExgJEGqQoPvxtxu/l/wID1r0zehLDcPlODz0Pp+o/Oor2zt9RsZ7O6jEkE6FHU9wa6MLiHh6qmtVs13T3Xz/4JnUhzLTfocD8SbiC4j8F6lbyrJCdbtnjdTwyt8wI/IV6VXzxrs11oMdh4Lvizmw1y3ubGUj79ud/H4Fh+ZH8NfQ9fQYumoYShyu696z8rp/rr5mVOXM2wooorzDUK4/4naJrfiHwJfaboE2y8lK5Tfs82PPzJu7ZHrweh612FcNaRyax8Stet/t1+um6dbQRtBHeSopuJNzlhhhjCbBgcc9KAPPPCvwn8eWXh9LeTWrXT1eQyNZSATLkgD5xgqx4966yLwh8S4Ilih8a2UcajCqlkgA+gCV0PhHUL688QeIrdLiW70K1lijsbmVt5Z9p81Vfq6q2Bk55yMnt19dtPHShG3JB+bhFv5tq7M/ZxvdHmX/CK/FD/AKHi0/8AANP/AIij/hFfih/0PFp/4Bp/8RXptFX/AGjL/n3T/wDBcP8AIfJ5v7zzL/hFfih/0PFp/wCAaf8AxFH/AAivxQ/6Hi0/8A0/+Ir02ij+0Zf8+6f/AILh/kHJ5v7zzL/hFfih/wBDxaf+Aaf/ABFH/CK/FD/oeLT/AMA0/wDiK9Noo/tGX/Pun/4Lh/kHJ5v7zzL/AIRX4of9Dxaf+Aaf/EUf8Ir8UP8AoeLT/wAA0/8AiK9Noo/tGX/Pun/4Lh/kHJ5v7zzL/hFfih/0PFp/4Bp/8RR/wivxQ/6Hi0/8A0/+Ir02ij+0Zf8APun/AOC4f5Byeb+88y/4RX4of9Dxaf8AgGn/AMRR/wAIr8UP+h4tP/ANP/iK9Noo/tGX/Pun/wCC4f5Byeb+88y/4RX4of8AQ8Wn/gGn/wARR/wivxQ/6Hi0/wDANP8A4ivTaKP7Rl/z7p/+C4f5Byeb+88y/wCEV+KH/Q8Wn/gGn/xFH/CK/FD/AKHi0/8AANP/AIivTaKP7Rl/z7p/+C4f5Byeb+88y/4RX4of9Dxaf+Aaf/EUf8Ir8UP+h4tP/ANP/iK9Noo/tGX/AD7p/wDguH+Qcnm/vPMv+EV+KH/Q8Wn/AIBp/wDEUf8ACK/FD/oeLT/wDT/4ivTaKP7Rl/z7p/8AguH+Qcnm/vPMv+EV+KH/AEPFp/4Bp/8AEUf8Ir8UP+h4tP8AwDT/AOIr02ij+0Zf8+6f/guH+Qcnm/vPMv8AhFfih/0PFp/4Bp/8RR/wivxQ/wCh4tP/AADT/wCIr02ij+0Zf8+6f/guH+Qcnm/vPMv+EV+KH/Q8Wn/gGn/xFH/CK/FD/oeLT/wDT/4ivTaKP7Rl/wA+6f8A4Lh/kHJ5v7zzL/hFfih/0PFp/wCAaf8AxFH/AAivxQ/6Hi0/8A0/+Ir02ij+0Zf8+6f/AILh/kHJ5v7zzL/hFfih/wBDxaf+Aaf/ABFH/CK/FD/oeLT/AMA0/wDiK9Noo/tGX/Pun/4Lh/kHJ5v7zzL/AIRX4of9Dxaf+Aaf/EUf8Ir8UP8AoeLT/wAA0/8AiK9Noo/tGX/Pun/4Lh/kHJ5v7zzL/hFfih/0PFp/4Bp/8RR/wivxQ/6Hi0/8A0/+Ir02ij+0Zf8APun/AOC4f5Byeb+88y/4RX4of9Dxaf8AgGn/AMRR/wAIr8UP+h4tP/ANP/iK9Noo/tGX/Pun/wCC4f5Byeb+88y/4RX4of8AQ8Wn/gGn/wARUVx4M+JN3bvBceM7GWFxhkeyQg/hsr1KuO+IM1yINEsrG7uba9v9Thtlkt5mQrGTulOAcH5EPXpntR/aMv8An3T/APBcP8g5E+r+888+Fvw28Z+EviDcXmoSRx6XsdZXjmDLdZztwoORg88gY5HevdK4jXJrnR/Efh6x0K6u5rq6vALy1muHnUWmD5kjbySmDtwQRk8c129cEpOTuy0rBRRRSAKKKKACiiuR+JN3cWng+X7BcTQalPcQ21m8MrIfNkcIOh5wCTg8cUAeWzfDH4h3HxWvtcivoYIzPJLBqErrIAhzsURnJyBgYIwMcHgV2f8AwivxQ/6Hm0/8A0/+IrT8Vm58P22mpoV7fTa1PdwxRW01y84nTcPMLqxOFC7iWGMHHNd1XVRxcqUeXli/8UVL80yXFM8y/wCEV+KH/Q82n/gGn/xFB8K/FA/8zza/+Aif/EV6bRW39oy/59w/8Aj/AJC5PN/eeYnwn8TyDnxza8jHFqo/9kpG8JfE5t2fHNt8wwcWqj8vk469a9Poo/tGX/Pun/4Lh/kHJ5v7zzBvCXxObdnxzbfMNpxaqPy+Xjr1obwj8Tm3Z8cWvzDaf9FXp/3x716fRR/aM/8An3T/APBcP8g5PN/eeYN4R+Jrbt3jazO9drZs05Hp9z3NDeEfiY27d41sjvXa2bJORzwfk6cn869Poo/tKf8Az7p/+C4f5Byeb+88wPhH4mNu3eNbI7htbNknI9D8nTk/nSnwn8TiST43s8kYP+hpyP8AvivTqKP7Sn/z7p/+C4f5Byeb+88y/wCEV+J//Q8Wn/gGn/xFH/CK/FD/AKHi0/8AANP/AIivTaKP7Rl/z7p/+C4f5Byeb+88y/4RX4of9Dxaf+Aaf/EUf8Ir8UP+h4tP/ANP/iK9Noo/tGX/AD7p/wDguH+Qcnm/vPMv+EV+KH/Q8Wn/AIBp/wDEUf8ACK/FD/oeLT/wDT/4ivTaKP7Rl/z7p/8AguH+Qcnm/vPMv+EV+KH/AEPFp/4Bp/8AEUf8Ir8UP+h4tP8AwDT/AOIr02ij+0Zf8+6f/guH+Qcnm/vPMv8AhFfih/0PFp/4Bp/8RR/wivxQ/wCh4tP/AADT/wCIr02ij+0Zf8+6f/guH+Qcnm/vPMv+EV+KH/Q8Wn/gGn/xFH/CK/FD/oeLT/wDT/4ivTaKP7Rl/wA+6f8A4Lh/kHJ5v7zzL/hFfih/0PFp/wCAaf8AxFH/AAivxQ/6Hi0/8A0/+Ir02ij+0Zf8+6f/AILh/kHJ5v7zzL/hFfih/wBDxaf+Aaf/ABFH/CK/FD/oeLT/AMA0/wDiK9Noo/tGX/Pun/4Lh/kHJ5v7zzL/AIRX4of9Dxaf+Aaf/EUf8Ir8UP8AoeLT/wAA0/8AiK9Noo/tGX/Pun/4Lh/kHJ5v7zzL/hFfih/0PFp/4Bp/8RR/wivxQ/6Hi0/8A0/+Ir02ij+0Zf8APun/AOC4f5Byeb+88y/4RX4of9Dxaf8AgGn/AMRR/wAIr8UP+h4tP/ANP/iK9Noo/tGX/Pun/wCC4f5Byeb+88y/4RX4of8AQ8Wn/gGn/wARR/wivxQ/6Hi0/wDANP8A4ivTaKP7Rl/z7p/+C4f5Byeb+88y/wCEV+KH/Q8Wn/gGn/xFH/CK/FD/AKHi0/8AANP/AIivTaKP7Rl/z7p/+C4f5Byeb+88xPhT4nkYPji0PfmzT/4ik/4RH4m848b2gywYkWijJGP9j2Fen0jAMpU5wRjg4o/tGf8Az7p/+C4f5Byeb+8+ffHnww+JGtS2Fy+qW+syxEqDHst2i5BBzhcjr3JHOOte6aHb3tpoGnW2pXH2i+ito0uJv78gUBj75Oa4zweI9R8Oajr2p6vqCWUl9ctaSPqEqLDbI5RMndg/dJy2etbvgK+1bUvCNrd6ysn2iR5DG0qbJHh3ny2dQBhiuD0FcdWq6snJpL0Vl8ktCkrHS0UUVmMiuJ0tYHmkWRlXqI42kb8FUEn8BXDeAtJt9QtNX1PV9HZb6/1Oe5ZL+xZXjjJ2xqN68jYgPHrXfUUAcz4uDWthpcltLNAU1SxiCwyMilGuI1KkA4II4wfWumqhqmjWWspCl8kzrDIsqCO4kjw6sGU/IwyQQCM1dRBGioCSFAA3MSfxJ5NADqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4LVY1134oaPFc6beSaZptpcP5sthKYXuHKoF3FdpwoY56c9a72igDMutIiXTpLfTTDpu90Z5IIguVDAsPlK4yoK5zkZzWb4ZFy2raxNHLKdHkaL7CkshckhSJHXdyI2ONvY7SRwcna1PTbbV9OmsLxZGtpl2yLHM8RI9NyEEfgeelVtI8P6foZnNitzun2iRri7luGIXOADIzED5jwPWgDUooooAKKKKACuD8Xj+2PGHhjS5NPvZtNtruS7vJPsMrxB1jIiUtt2kFnJ9Bjmu8ooAqQ6XY2qSra2kNt5i7WaBBGT+K4NZHgyWWTSLwSzSymPVL6JWlkLsEW5kVRkkngAD8K6B0EkbISwDAg7WIP4EciqWl6NZaNHLHYpKiSyNK4kuJJMuzFmPzscEkknHrQBfooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArC8X6lcaZ4X1GWytru5vmt5Fto7W3eVjIVIX7oOOSOTW7RQBy/g7w3pWneFdHiXTYRPb20atJNabJPMAwzEMoYHdk1W1i0v4r21js9Qml1N9QS4aQOyRwWm/5lkXcVI2AoOAWbkDIJHY1gyeDdFl1ZtTeO9Ny863Df8TG48tnUggmPfsIG0cYxxjFAG9RRRQB//9k=) +![md5:4bddf4f41abbc91bbfcd7fca5a9e628a](4bddf4f41abbc91bbfcd7fca5a9e628a.jpeg) Proof of lemma. Suppose for the sake of contradiction that \(A\) and \(B\) lie on the same side of \(P_{1}P_{2}\) . The convex hull of these four points is either a quadrilateral or a triangle. diff --git a/USA_TST/md/en-sols-TST-IMO-2025.md b/USA_TST/md/en-sols-TST-IMO-2025.md index dd0bc63109c72a6032dc027e2c341c763ec0b847..1c6eeff5b7384f8fcbd8329e0a706068e6fcfd74 100644 --- a/USA_TST/md/en-sols-TST-IMO-2025.md +++ b/USA_TST/md/en-sols-TST-IMO-2025.md @@ -184,7 +184,7 @@ Proof. This is a standard circumcenter fact in disguise but we will prove it her The second equality is analogous. -![](data:image/jpeg;base64,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) +![md5:e59f80e0a9e06aec935412d11bfd59e6](e59f80e0a9e06aec935412d11bfd59e6.jpeg) ## Lemma @@ -199,7 +199,7 @@ Therefore \(P P_{i}^{n} P_{i + 1}^{n} \stackrel{\perp}{\sim} P P_{i}^{0} P_{i + To solve part (a), we just need to show that \(\mathcal{P}_{0}\) and \(\mathcal{Q}_{0}\) are cyclic. This is where we need the isogonal conjugate property, and we can generalize from analogous facts for the \(n = 3\) case. -![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHOAbEDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqlq982maRd36xxyfZomlZZJNg2qMtzg9ge1AF2iuSHjC+j8JR+J7rRFj042q3bpHd7p0iI3Z2lApIHON361DP4gudS/4SK40+9aKHTLKKa1KqCsjNEZdzAjJBBUY4798EAHZ0VV028Go6VZ3oTYLiBJtvpuUHH61aoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuN+KE8n/CEzabbttudXnh02H6yuFb/xzdXZVkar4Z0vW7q2ub+O4kltZBLBsu5oxG4BAYKrAZwTzjPNAFS/8My6vpa6RqN7H/ZeFWS3tIDEZUXGEZi7HbwMgYJ6ZxT59Asr6fUo4HuLVLiFLO7RItqyoF42Er/dfbuX6dV43WQmIorshK4DDkj35zz9a5jw0NXl0a4zJNb3LXcjr/aETyiOPcQqDLqxIUKSc4yxxnsAdFbPb4e3tyuLYiJkX+A7QQP++WU/jULatZrrEelM7i8kjeVEMTAMq7dxDY2nG9e/esTR4Nb/ALV1rOoaeVF+nmAWLgt/o8PT99xxgd+efal1KRv+FhaJILa7aKGzu4pJUtZGjVna3KguF287W78YOaAOnooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorM1TxFo+jMqahqNvBKwykJbMj/wC6gyzfgKANOiuVl8YXFwCNJ0C9nHaW8ItIz+DZkH/fFVnu/FV4T5l/p+nof4bW3Mrj/gbnb/45WipTfQ0jRnLZHZ1HPcQW0fmTzRxIP4pGCj8zXDvoj3POoa1rF4e4a8aFT9Vh2L+lJF4V0CKTzRo9k8v/AD1lhEj/APfTZP61aw8upqsLLqzoJvGvhe3cxyeIdL8wfwLdIzfkDmoT478Oj7t5NL/1xs5pP/QUNQxQxwIEijSNB0VFAFPq/q/maLCLqxf+E60Y/di1d/po93/WOj/hOtI72+sD/uEXR/8AadJRT+rruP6rHuOHjvQf45NQj/666XdJ/wChRiuU0z45+GNQ8XS6K6yWlsrMkeoXLqkTFc5znG0HHBPqMgV1NeXadpdjYfHm9eO1jQzWZmXA6OwXcw9Cfmz9TWtHASrc3I/hTb9EZVKChbXd2PaLHV9IvyTYajY3Bc5JgmR9xxjPB54Aq/XE3ehaRf5+2aVY3Gevm26P/MVXXwzp0H/Hk17YkdPsd7LCo/4CrbT+IrneHfRjeFl0Z31FcRHF4gsx/ofiOWYDomoW0cyj8U2MfxY1Zj8R+ILQgX2iW96g6yafc7XP/bOXAH/fZrN0proZyoVF0OuornYPG+hPIsN3cvps7HAj1CJoMn0DN8rH/dJroVZXUMpBUjIIPBrNqxk01uLRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiimyOkUbSSMFRQWZj0AHegDlNN1nXdV8S69psEunR22lyRRCc2zsZHdN5XHmDG0FQT3z0FZieLLnWtYtNFli8hotbksL2SB22ShLaSZQrcEZKrlfYjJBo+HWn3OoeFpdabULy1bW7ye/eKIRjCu5CclC33FTvXSx+H9Ns7W206109xCJ2uPOST545eT5jMW3szEkZ5zkg8UAQ+GbqaW98QWTu7w2Oo+TAzsWIRoYpCuTycM7fQYHauhqtZWNvp8Tx26Eb3MkjMxZnc9WJPJP8AQADgCrNABRUF3eW1hayXV5cRW9vGMvLK4VVHuTXLz+KtQ1Q7PD9mI4D/AMxC/RlQj1ji4Z/qdo9CacYuTsioxcnZHU3V3bWNs9zd3EVvBGMvLK4RVHuTwK5qbxk958mgaZNfA9Lq4Jt7f6hiCz/8BUg+tUE0OGW6S81OabU71DuSa7IIjP8AsIAET6gZ9Sa1K6I4f+Y6oYX+ZmZLaaxqZzq2tzCM/wDLrp2baP8AFwTIf++gPap7DSdP0tWFjZwwF+XZEAZz6sepPuauUV0RhGOyOmNOMdkFFFFUWFFFFABRRRQAUUUUAFec6l/o/wAdNIboLiwYE+4Ev/xIr0avOfF3+j/FTwlc9PM3RZ/Ej/2evRyzWpOPeEl+DOfE/Cn2a/M9GooorzjoCiiigBskaSxtHIiujDBVhkEfSspfD1vZsX0e5utIkJziyk2xk+8TAxn/AL5z71r0VLinuTKKluipFrviLTMC+soNWtx1lssQzge8bna31DD2WtvSfEmlay7RWl0BdIMyWsymKZPrG2Gx74wexrPqnf6VY6oiLeWySmM7o35Dxn1Vhyp9wQaxlQT+E554WL+HQ7KiuJhufEGi4+zz/wBsWY62924W4Uf7EvRvo4yf79b+j+JdN1qR4IJHhvYxmWzuF8uaMepU9R/tDKnsa55QlHc5J05Q3NeiiioICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKgvLG01G3Nve2sFzA3WOeMOp/A8VPRQBWsdOsdLt/s+n2dvaQZz5dvEsa59cAAdhWL/Zl0PH/APaQtP8ARBZ+WJhKOXc/PkZzwIoQBjHzseuc9HVbUNQs9KspLy+uI7e3jGWkc4HsPcnoAOTQBZrmdT8Wqt1Jp2iW41G/jO2Vt+2C3P8A00kwef8AYXLeuBzXh3xKuPFU3jKDxGZ9SsNAmkjhg/fNG0UeAG3IrZXdhjjgkHBweB7TZW9ra2UMNjFFFaqo8tYgAoHtiumGFnyqck1F7eZvRo87al0KaaQ11dx3+tXJ1G9Q7o9y7YYD/wBM4+QP945b3rUooroUVFWR3xioqyCiiiqKCiiigAooooAKKKKACiiigAooooAK85+JP7nxN4Mu+gjv8E+xeM/0NejV518Xv3Ok6Pef88NQXn/gJP8A7LXo5T/vkF3uvvTRz4r+E36fmei0UUV5x0BRRRQAUUUUAFFFFABVPUNLs9TRFuosvGd0UqMUkib+8jjBU+4NXKKTVwavoyjb61rGgALqKy6vpy/8vMSD7TEP9tF4kHuoDf7J611dhqFnqllHeWFzFcW8gyskbZB/+v7dqwqy5dMmtbx9R0S4FlfOcyoVzBc/9dU9f9sYYepHFc86HWJyVMN1gd1RWFoniaHU5zYXcJsNVRdz2kjZ3r/fjbo6+45HcCt2uZq2jONpp2YUUUUhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWHr/iEaT5dpaQi71W4BMFsGwAOhkkP8KDue/QZNCV9ENJt2RPrevWuhwR+Yrz3U5K21pDgyTN6AdgO7HAHc1zUNjd6hepqmuyJNdod1vbRkmC0/3QfvP6uefQKOKfp+mNbzy317ObvU5wBNcsuOOyIP4EHZR9TkkmtGuynRUdXud1Ggo6y3MvxHosXiDQLzTJcDzkwjH+Bxyp/AgVzPww1qW70OXRr7K6hpL/AGd0brsBIX8sFfwHrXdV5l4nB8GfESw8Sxjbp+o/6Pe46BuOT+ADf8BPrXtYL9/SnhHu/ej6rdfNfjYK3uSVX5P0/wCAem0UgIIBByD0Ipa8w6QooooAKKKKACiiigAooooAKKKKACiiigArgfjBD5ngff8A88rqN/0I/rXfVx/xQi834e6nxynlOPwkX+ma7csly4yk/wC8vzMcQr0Zeh1NjN9o0+2mznzIlf8AMA1PWT4Xl8/wlo8ueWsoSfrsGa1q5aseWpKPZs0i7xTCiiioKCiiigAooooAKKKKACiiigCnqOm22pwrHOrBo23xSxsVkifsyMOVP+elS6V4iutOuYtM8QureYwjtdSChUnPZJB0SQ/98t2wflqeorm2gvLaS2uYkmgkUq8bjKsPQis6lNTMqtJTXmdXRXEafq8/haRLTVJ3n0ViFgvZG3Pak8BJieqdg56dG/vV2/WuKUXF2Z50oOLswoooqSQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKyfEGux6HZK4iNxeTt5VpaqcNNJ6Z7KByW7AE0BuQ+IfEB0lYrSyiW61a6B+z25OAAOsjnsi9z3OAOTWNpumCx82eeZrq/uSGubpxhpG7AD+FR0CjgD3ySmmadJbNNeXswudTuiGuZ8YBx0RB/Ci5wB9SckknQrtpUuVXe56NGjyK73CiiitjcKxfFegp4k8N3emsB5jruhY/wyDlT+fB9ia2qKunUlSmpw3WopRUk4vqcX8M9dfVfDX2G7JF/prfZplb72B90n8AR9VNdpXmOsf8AFE/E621hfk0vWf3Vz/dSTjJP47W/76r06u3MacfaKvT+GorryfVfJmOHk+VwlvHT/IKKKK883CiiigAooooAKKKKACiiigAooooAK57x3D5/gbWUx0tmf/vnn+ldDWZ4ii+0eGNWhxnzLOZfzQ1thpctaEuzX5kVFeDXkZ3w/m8/wHo7+kGz/vkkf0rpK4z4Vy+b8PrBf+ebyp/5EY/1rs61x8eXFVY/3n+ZNB3pRfkgooorkNQooooAKKKKACiiigAooooAKKKKAGyRpLG0ciK6OCrKwyCD1BFZ+mai/hOeKxu3Z9BkYJbzucmyY8CNz/zzPRWP3eh4wRpUyWKOeF4Zo1kikUq6MMhgeoI7ionBTVmZ1KamrM6miuN0LUpdBvodDv5GewmOzTrpzkqf+eDn1x9xj1AweQN3ZVwSi4uzPNlFxdmFFFFIkKKKKACiiigAooooAKKKKACiiigAooooAq6lqNrpOnT395J5dvAu52xk+wA7knAAHJJArj7CG6vr6TXNUTZeTLsggJyLSHqEH+0eCx7nA6KKW6uv+En1sTA50fTpSIB2ubheDJ7qhyF9WyeymtOuqjTt7zO3D0re+wooorpOsKKKKACiiigDn/Gvh9fEvhe6sQoNwB5tuT2kXp+fI/GqPw58QNr3hWJZ2P22yP2ecN1yPuk/UfqDXXV5jcf8UR8VEuB8mla98r/3Ulz1/wC+iD9HPpXp4T/aMPPDPde9H5br5rX5HNV/d1FU6bP9D06iiivMOkKKKKACiiigAooooAKKKKACiiigAqO4i8+2liPR0K/mMVJRQnZ3A8++Dku/wVKh6xXkiY/4Cp/rXoNec/Cb9zb6/Z/88NQbj8Mf+y16NXo5sv8Abanm7/ernPhf4MQooorzjoCiiigAooooAKKKKACiiigAooooAKKKKAK99Y2+pWUtpdJvhlGGGcEdwQeoIOCCOQRmrPhjWLhpH0TVZd+pWyb45iMfa4c4En+8OAwHQ4PRhSVn6rYS3ccNxaSCHUbR/NtZiOFfGCreqMMqw9D6gGsqtPnXmY1qXOtNztqKzdC1iLXNLS7SMwyhjHPAxy0Mq8Mh+h79wQRwa0q4TzQooooAKKKKACiiigAooooAKKKKACuZ8W6lORDoWnytHe3ykyzIebe3HDuPRjnavuc/wmt6/vrfTbC4vruQR29vG0kjnsoGTXG6PFczfaNX1BCl/qDCR426wRj/AFcX/AQefVix71pShzSNqNPnl5F+2tobO1itreNYoIUCRoo4VQMACpaKK7z0gooooAKKKKACiiigArmPH3h7/hI/CtxbxJm7g/f2+Ou9e34jI/EV09Fa0K0qNSNSG6dyZwU4uL6nMeAfEX/CR+Fba4kfN3D+4uM9d69/xGD+Jrp68xt/+KI+Kj25+TSte+ZP7qS56f8AfRI+jj0r06unMKMYVfaU/gmuZfPdfJ6GVCbceWW60YUUUVwm4UUUUAFFFFABRRRQAUUUUAFFFFAHnPw8/ceMvGtr2F6HUexeT/EV6NXnPhf/AEf4veKbbp5kSy4/74P/ALPXo1ejmuuIUu8Yv/yVHPhvgt2b/MKKKK846AooooAKKKKACiiigAooooAKKKKACiiigAooooAypbn/AIRvWhrIO3T7nbDqS9l7JP8A8B+6x/unP8Aru65aWKOeF4ZUV43Uq6MMhgeCDR4OvZIVuPD13Iz3GnhTbyOcma2OQhz3K4KH/dB/irkrws+ZHDiadnzI6miiiuc5QooooAKKKKACiiigAooqtqF9b6Xp1zf3T7Le2iaWRvRVGTQBzHiaf+1tctdDQ5tbXbe33oxB/cxn6sC5/wBxezVarM0OC4W0kvL1Nt/fyG6uV/uMwGE/4AoVP+A1p130ocsT06MOSIUUUVoahRRRQAUUUUAFFFFABRRRQByPxG8PtrvhaVoFP22yP2iAr1yPvAfUfqBV7wV4gXxL4Xtb4sDcAeVcAdpF6/nwfxroK8x0b/iifiddaO3yaXrP722/upJzgD8dy/8AfNenQ/2nCyofah70fT7S/U5p/u6qn0ej/T/I9OooorzDpCiiigAooooAKKKKACiiigAooooA85tP9G+O1/2+06ePxwE/+Ir0avOdT/0f46aO3QXFgwJ9wJf/AIkV6NXo5jr7GXeEfwuv0OfD/bXmwooorzjoCiiigAooooAKKKKACiiigAooooAKKKKACiiigArJ1nzbB7bXbVGa404lnRBzLbnHmp78AMB/eRa1qKmSUlZkyipKzOigniubeOeCRZIpVDo6nIZSMgj8Kkrk/Bk32F73w6/C2TCaz97ZySqj/cYMnsAnrXWV57VnZnlSTi7MKKKKQgooooAKKKKACuS8Xzfbr/TNBTlJX+2XY/6YxEFVP+9IU+oVq62uE02X+09W1bWjys8/2a3P/TGElRj2L+a30YVpSjzSNaEOaaNWiiiu89MKKKKACiiigAooooAKKKKACiiigAri/iZoT6r4a+3WgIv9Mb7TCy/ewPvAfgAfqortKQgEEEZB6g1thq8sPVjVjuv6/EipBTi4vqY3hTXU8SeG7PUlI8x12zKP4ZBww/PkexFbVeY+GCfBnxDv/DMh26fqP+kWWegPPA/AFf8AgI9a9OrfH0I0q16fwS1j6P8Ay2IoTcoe9utGFFFFcRsFFFFABRRRQAUUUUAFFFFAHnPi/wD0f4p+Ernp5m6LP44/9nr0avOfiT+58SeDbvoI7/BPsXjP9DXo1ejjNcNQl5NfdJnPS0qTXmvyCiiivOOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDK1Wb+ytQ07XhwtpJ5Vyf+neQhXJ9lYI/0Q13dcpc20V5azWs6B4ZkaORT0ZSMEflVzwbfS3fhyGG5cvd2LNZXDHqzxnaGP+8u1/8AgVcmIjZ8xw4qFmpG/RRRXOcoUUUUAFFFFAGP4q1KXSvDN9dW3/H0UEVt7zOQkf8A48y1kafZRabpttYwZ8q3iWJc9SFGOaf4skN1rehaYPuCSS/lHqsShVB/4HKrf8AqauvDx0bO7Cx0cgoooroOoKKKKACiiigAooooAKKKKACiiigAooooA4X4n6LLd6HDrVjldQ0lxOjr12ZBb8sBvwPrXTeHNai8QaBZ6nFgecmXUfwuOGH4EGtJ0WSNo3UMjAhlIyCD2rzXwW7eEvG2p+EJ2Itbgm5sCx6jHT/vkfmhr06f+04N0/tU9V/he6+T1+85pfu6ql0lp8+h6ZRRRXmHSFFFFABRRRQAUUUUAFFFFAHnPxf/AHOkaPef88NQXn0+Un/2WvRq4H4wQ+Z4GL/88rqN/wCY/rXbWM32jT7abOfMiV/zANejX1wNF9nJfkznhpWmvJfqWKKKK846AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqmhyGw8a3lqeIdTthcoP+msRCP8AiUaL/vg1brJ1qT7FcaVq3T7FfRlz/wBM5MxPn2Ak3f8AAayqxvBmVePNBneUUUVwnmBRRRQAUUUUAcSz/bPG+s3PVLSOCxT2IUyufx81B/wGtCsjw65uLC4vzyb28uLgH1QyME/8cCVr1301aCPUoq0EgooorQ0CiiigAooooAKKKKACiiigAooooAKKKKACuA+KGlT/AGC08Saf8t9pMgk3AdY8jr64OD9C1d/Uc8MdzbyQTIHilUo6noykYIrowmIeHrRqrpv5rqvmjOrT9pBxKmiarBrmi2mp2/8Aq7iMPjP3T3X8DkfhV+vNfAE8nhrxPqvgy7clFc3FkzfxKeSPxXB+oavSqvHYdUKzjH4XqvNPYVGpzwu9+vqFFFFchqFFFFABRRRQAUUUUAch8UIvN+Hup8cp5Tj8JF/pmtnwtL5/hLR5c8tZQk/XYM1U8dQ+d4G1lMdLZn/755/pUfw/m8/wFo756QbP++SR/SvReuXLym/xiv8AI5/+Yj5fqdLRRRXnHQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVT1axGp6Pe2DHAuIHiz6blIzVyikD1NPw7qR1jw3puouMSXNtHI6/3XKjcPwORWnXMeBn2aVfWB62Wo3EWPRXbzlH4LKorp685qzseQ1Z2CiiikIKpaxejTNEv788C2tpJuf9lSf6VdrnfHjf8AFEarF/z8RC2/7+MI/wD2agDL0G0Nh4e020I5gtYoz9QoBrQoor0kewlbQKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB558TtOns/wCz/Funr/pemSqJMfxRk9/YE4+jGu40vUYNW0u21C2bMNxGJF9s9j7jpUt5aQ31lPaXCB4Z0Mbqe6kYNee/Di7m0TVtU8GXzkyWkhltWP8AHGeuPzDf8CPpXpr/AGnB2+1S/wDSX/k/wZzP93Wv0l+f/BPSKKKK8w6QooooAKKiubiO0tpJ5SQka5OBkn2A7n2rG8Ja5ca/pE11dQLBPHdz27RKc7NjkAE9zjGT60r62FdXsb1FFFMZm+IoftHhnVYcZ8yzmX80IrnvhVN5vw+sFz/q3lT/AMiMf6119xEJ7aWI9HQr+YxXBfByUv4LljPWK9kXH/AVP9a9Gl72AqLtKL+9SRzy0rxfdP8AQ9BooorzjoCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAIfDDeT4o1+2zxIltd492V4z/6JH6V1lcbpjeV8QEX/AJ+dLkJ9/LlT/wCOn867KuCqrTZ5lZWqMKKKKzMgrmvHRzoEEX/PXUrIfgLiNj+i10tcx42ObPSU7NqkH6bm/pVR+JFQ+JC0UUV6J6wUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXnHxJs59I1DS/GVgn76xkWO5A/jjJ4z+ZX/gQ9K9HqrqNhBqmm3NhcruhuIzG49iOo966sFiPq9ZTeq2a7p6NGVan7SDXX9R9leQahYwXls++CeNZEb1BGRU9edfDK/n0+XUvCGoN/pWmyM0Of4oyece2SD9Hr0WljMP8AV60qe66Puns/uHSqe0gpBRRSMoZSrAFSMEHoa5jQxrt7nUdREdl5DwWTgy+axAaXGVXgH7oIb6le4NYngef7EPFMV2URodamkYJkgCRUYAdzyTgV1VlpenaZHIljY2tokh3OIIVjDH1OBzVKy07RDDdSaHHp9vNIrRNc2UceVb3K9SDg4PpUWd7kWd0y7pl2t9ZLcpcJPHI7lHSMp8u4gAgknIxgnuRnA6Vbqho2nHSdJt7DzRIsCLGpVNoAAAGBknt3JySav1SKW2oV5z8Jv3MPiCz/AOeOoNx+GP8A2WvRq85+Hn7jxn41te320Oo9i8n+Ir0sLrhK68ov/wAmt+phV/iwfr+R6NRRRXnHQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUEPl+ONEf8AvwXUP5hG/wDZP0rta4ifjxb4aPrczL/5LyH+ldvXDX+M87EfxGFFFFZGAVy/jb/U6KfTVIv/AEF66iuZ8cDGl6fJ/c1O1/WQL/7NVR+JFQ+JBRRRXonrBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWbeeIdGsH2Xeq2UMnQI86hj9Fzk0rg3Y0qKxP+EotJeLOz1O8PYw2UgU/R3Cr+tH9pa7P/wAe3h8Qj1vrxE/SMSUXRPMjborE+zeJbj/Wajp1op/hgtWkYf8AAmcD/wAdo/4R6Sb/AI/dc1a49VWZYB+HlKh/Wi47vsch8QreXw74h0rxnZoSInEF4q/xoen5jIz/ALtdc3jLw6Iw66vayZUNthbzGAPqq5I/EVDe+CNBvbC4t5LFGkljZFuJiZZUJH3gzknI+tcx8PLh7nRtV8G6n8l3YF4vcxsSMj1we/oVr0qnNicDzL46WnrF7fc9PRmFO0K6UtIy/p/gdHL41sxIyW9hqE5A4byhGp/FyD+lUpfF2rSx/wCj6Za27Z6zzl+PooH86yY/MClJl2zRkpIvow4NPr5d4mrLrY+qjgcPH7N/V/5WG6xfa5q+nXVrLqkVtHPC0Trb24AwQQeWJP5YrkfAmh6x4Vlv/K1QQTTLCxjSMOrIV3qSGHXDY46c1098ry2620TBZbmRbdCfVyB/Ik1veJrNLbVLW4jXak0PkHHTKHK/ozflUp1HFyu9LfiTPD4f20LxV9bf116kMXifXYpF8yLT7mMDnAeJj+OWH6Vbi8asqsbzRrpMdPs8iS5/Mqf0rFoqlXqraRcsHQlvH8/+GOni8Z6GwHnXT2rEZIuYmj2j3JG39a5Lwdd20vxX8TfZLiKeCeFZkkicMrfd6EcH71dL4Rti32rUGHyyEQxe6rncfxYkf8Brln0ywufjde299ZwXEVxYh1SWMMAwVfmGeh+U8/WvospnOpRrc3WD/BpnzmZU4Uq8Y09k1+Wp6hRWJ/wi9lHzZ3Oo2Z7CG9k2j6IxK/pR/ZmuQf8AHt4g832vrNJP1j8uuO7Fd9jborE+0eJbf/WWGm3ijq0Ny8TH6KyEf+PUf8JBND/x+6FqtuO7JEs4/DymY/pRcOZG3RWMnizQWcJJqcNtIeAl3m3Y/wDAZADWtFNFPGJIZEkQ9GRgQfxFF0wTT2H0UUUxhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGdcf8jX4Z/6+5v8A0mlrt64lxv8AGPh5R/C9xJ+AiK/+zCu2rir/ABnnYn+IFFFFYmAVzfjsf8UpJL/zxu7Sb8EuI2P6A10lYfjO3a68E65FGMyGxmaP/fCEr+oFNaMadncq0VHbzLc20U6fckQOv0IzUlekeuFc54y8SSeGtH+1QQrNNvjyG6JGZFVnP/fQA9z6A1v3FxDaW0lxcSLHDEpd3Y4CgdSa4PxrZ6ndeBvEFzNFbqJ7fzcMzeZHGnzKuMYyMEnnqTUydloRNtJ2PQKKyX1mH7HYH7UkM155RQtEzg7iOOMYLDIBJ6884IrWp3KTuFFNkEhjYRMqvj5SwyB+GRWb4d1CfVdDgvLkRiZ2kDeWCF+V2UYBJ7D1ov0C+ticavpramdMGoWpvwNxthMvmY/3c5qS81Gx09N97e29sv8AemlVB+przlvhEkvxBl8Qz6oz2Uk7XBt9rByzZ+XcD93J/Lj3rvLPw7otg++00myhk6mRIFDH6tjJqU5PdExc3uit/wAJdo0n/HrPNfHt9itpJwf+BIpH60f23qU//Hp4cviOz3UsUK/luLf+O1uUU7Mdn3MP/iqLj/oEWIP/AF0uiP8A0XR/YupT/wDH34jvSO6WsUUK/ntZv/Hq3KKdg5TE/wCES0eT/j6hnvj3+23Mk4P/AAF2I/IVpWenWOnpssrK3tl/uwxKg/QVZooshpJBRRRTGFFFFABXmfjiN/CvjLS/GNsp+zysLa+VR1GMZ/Ff1QV6ZWb4g0eHX9BvNMmwFnjIVj/C3VW/AgGuzA4hUKyc/hej9Hv/AJmVaDnCy3Wq9TI17SzPjV9OXzhIgM0cfPmLjh19Tj8xj05wI5ElQOjBlPQirnwv1iafR59Cv8rf6TIYWVuuzJA/Igj6AV0WpeGrW9la4gdrW5blnQZVz/tL0P1GD715uY5dKhXlCPT8ezXqevl+ZxlTSq/f+j9DA0O2F34ht9yhltkac5HG77q/+hE/hWv40iY6B9qUtm0mSchRnK52t/46xP4VB4QspIbrV7iWRZD54tVZVwCIxyR/wJmH1WukubeO7tJraUZjmRo3HqCMGsaNF+xcXu7ixGKi8TGpB3Ubf5v9Tz6pbGxm1e5NvbkrEpxPOOiD0H+0f06n31rHwhLsRdQvdyKADHbgrux6sefyx9a6a3tobSBILeJYokGFRRgCsKWFlLWeiOzEZhTgrUnd9+n/AAfyFggitbeOCFAkUahUUdgK891P/R/jpozdBcWDAn3Al/wFejV5z4w/0f4peEbnp5haLP44/wDZ6+kytfvJwXWEl+DPm8U20pPuvzPRqKKK843CiiigBrokiFHVWU9VYZBrJl8K6DLIZP7KtopT1lgTynP/AAJMH9a2KKVkxNJ7mJ/wjhh/48ta1e19Abjzx/5GD0fZPElv/qtVsLpf7tzZsjH/AIEj4/8AHa26KLIXKjE/tHX7f/j40GKcetjeqxP4SBP50f8ACT20X/H7YapZnuZLJ3UfVowyj8626KLMLPuZdr4k0S9k8u21aykl7xidd4+q5yK1Kr3VhZ30fl3lpBcJ/dmjDj9ay/8AhEdFTm1tZLE9vsM8luB+EbAfpRqGpuUVh/2HqEH/AB5+ItQUdkuEimX8yob/AMeox4pt+j6RfAeqyWpP45k/lSuF/I3KKw/7a1SD/j78OXeO72k0Uyj8Cyt/47VXUfHejaTp813fLf24iXJjmspY2Y9gpZQpP40cyDmS3OmornPB3jTTfGunzXWnpNE0D7JYpgAykjIPBIwefyNbV/dG0ttyKHmchIY8/fc9B9O5PYAntTTTV0NSTV0WaK5bwFeXl1o19Hf3LXF1a6ndW8kjdysh7dhzwOwrqaE7q4Rd1cpWo83x/pidotPu5T7EvAo/QtXZ1yGhp53jnUJO1tp0KD6ySSE/+i1/Ouvrhqv32ebXd6jCiiiszIKbLGk0TxSDcjqVYeoNOooA4HwqzHwtp0UhzJbwi2kPq8f7tv1U1sVl6YgtNV13T+gh1B5UHqsyrNn/AL6dx+BrUr0IO8Uz1abvBMrX2nWOpwCC/s7e7iB3COeJZFz64IpLjTLC7s1s7mxtprVMBYZYlZBgYGFIxwKtUVVirIxrrw/E8mmiyaKygsZGkSGKEbclSuQBgAgM2OCOc4q5caNpd3O01zptnNK2MvJArMe3UirtFFkFkVYbC3soHj0+3trXdz+7hAXPqQMZqroGlz6NpaWU11HcBGdldITH95ixyCzetalFFgsgooopjCiiigAooooAKKKKACiiigAooooAKKKKAPMvFinwd4/0/wAUxArY3x+zXwHQH1/IA/VD616U80UcDTvIiwqu9pGYBQuM5z6YrK8U6HH4j8OXmmvgPImYmP8ADIOVP5/pmuG8M6xPrvgqPw5co/26G7i0+5UjJEIbLE+nyI6fUe9enW/2jBxq/ap+6/T7L+W33HKn7Kq49Jar16nqAAUYUADOeKWiivMOoxdJkkh13WrCR2YCSO7h3HOI5F2kD23xyH8a2qYUiWXzSqCRgE34GSOuM/nT6SElYK85+JX7nxH4Nu+giv8ABPsWjP8AQ16NXnPxf/c6NpF5/wA8NQXn/gLH/wBlr0sp/wB8gu9196aMMV/Cb/rc9GooorzjoCiiigAooooAKKKKACiiigAooooAKKKKACqupabaaxp0+n38ImtZ12yRkkZH1HIq1RSAxvD3hjSPCWnyWuk2xiidvMkJZnZzjuTz0HQVBbt/b99NdZ1Gzis2MUCvA8JfIyz4dec/dHpg/wB6ugopW6E8q2Rw/gxp9Pl8Sw/ZL4rJqMl1bvdQPCJVZUBO5lA6g579Tg1vaXq8D6Fa6g1vdol2WlVFSW4OGJYHgEhSDkDgAEDjpWvNDHcQSQSqGjkUo6nuCMEVDaWltptoIYF8uJBn5mJPA7k89B+QoSaEotGV8O9VW4vNfnnW9aW41WSCFzZzbfKj4UFtuFwSwwSMY5roLJpI/iHqtuJ52g/sy1mEbysyq7S3AJUE4HCqOPQUeA4TH4Nsp2GHvTJfHIwf38jSgH6BwPwrTj0Oxi1mTVkWf7bIgjdzcyFSoLELtLbcAuxAxxmvPk7u55cndtmjRRRSEFFFFAHG6vH9i8dxS9E1KwKH03wPkfiVmP4J7VcpPHEflaVa6sBzpl2lwx9ImzHIfoEdm/4CKWuyg7xsd+GleFuwUUUVudIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5XrdzD4N+KsGpxSKtnqKKl8g6RliQGPpkru/Bq9UritY8LSeI9E8QrcQlLq6ui9pv4K+UoSP8GKsfpIa7cBXjSrctT4JaS9H1+T1MMRByj7u61R2tFcf8NtfbW/C8cNwT9usD9nnVvvcfdJ+o4+oNdhWGIoSoVZUp7pmlOanFSXUxfFcbnw9PcxKWmsmS8jA6kxMHIH1ClfxrYR1kjV0OVYAgjuKdUcU8U28RSI/lsUfawO1h1B9DWHUq2tySuC+L8PmeBi//PK6jf8AmP613tch8T4vN+Hup8cp5bj8JF/pmu7LZcuMpP8AvL8zLEK9KXozp7Cb7Rp1rNnPmRI/5gGrFZHhWXz/AAjo0ueWsoc/XYM1r1zVY8tSUezZpF3imFFFFZlBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVkeJpJB4fuYIG23F3ts4SOoeVhGp/Atn8K16zjH/aHjDR7Icx2ok1CYf7o8uMH6tIWH/XOoqO0WzOrLlg2dnBDHbW8cEShY40CIo7ADAFSUUV555YUUUUAFFFFAEF7aQ6hYXFlcpvguImikX1Vhgj8jXGeHp5pNIjgum3XlmzWlwT/FJGSpb/gWAw9mFd1XF38X9leNZRjFvrEImX0FxEArj6tH5ZH/AFzatqErSt3OjDT5Z27l6iiiu09AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAr317Bp1jNeXLFYYl3MQMn6AdzVisvXLKfUI7G2iUGA3kUlySQMIhMg+uXVBj3rUpC6nmN9/xRHxTivh8mla58kv91Jc8n/vog59GavTq5rx34eHiTwrc2qLm6iHnW/rvXt+IyPxqL4feIT4i8K28szZvLb9xcZ6ll6MfqMH65r1MT/tOFjiF8Ufdl/7a/u0+Rz0/3dR0+j1X6nVVjWEEtp4m1ZBG/wBmuliulfHy+ZgxuM+uEjP41s1Dc3cFmiPcSBFeRIlJB5ZiFUfiSB+NeWzoZNXP+OYfP8DaymOlqz/988/0roKzfEMP2jwzqsOM+ZZzL+aEVvhpctaEuzX5k1FeDXkZnw+m8/wFo7+kGz/vliP6V0tcX8KpfM+H1gv/ADzeVP8AyIx/rXaVrj48uLqr+8/zJoO9KL8kFFFFchqFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUXg6L7VdavrRGRcT/ZYD/0yhyv6yGU/TFU9cvJrLSZWtQDeSlYLVT3mchU/DJBPsDXV6Tp0Wj6RZ6dASYrWFYlZurYGMn3PU/WubES2icmKloolyiiiuU4gooooAKKKKACsHxfp01/oZms0L39jIt5aqOrumcp/wNSyf8CreooTsNO2pyVndw39lBeWzh4J41kjb1UjIqesyCH+xfEN7oxG23mLXtj6bGb94g/3XOfYSKO1adejCXMrnqQnzxTCiiiqLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAqW+oR3Oo3lnGr7rXYJHP3dzDO0e4GCf94VbrN0fT5bEX0lwyNPd3ck7FCSNuQqDnuI1QH3BrSpIS8wrzFP8Aih/iqU+5pOvcjsqS5/8Aij+Af2r06uT+Inh4+IPCswhUm8tP9ItyOpI6qPqM/jivQy6rGNR0qnwTVn+j+T1McRFuPNHdanWVmeIbGXUfD97bW/8Ax8mPfBntKvzIf++gtZ/gfxCPEvha1vGYG5QeTcD/AKaL1P4jB/GujrkrUZUpypT3WhrGSnG62YyF2kgjd4zGzKCUPVTjpSTxCa3liPR0K/mMVFa30N3Pdwx7hJaSiGUMMclFcY9sMKs1mnbVD3PPfg5KX8FzRnrFeyLj/gKH+tehV5z8J/3MXiCz/wCeGoNx+n/stejV6ObL/baj7u/3q5hhf4MQooorzjoCiiigAooooAKKKKACiiigAooooAKKKKACiiqmp38el6bPeyqzrEuQi/edjwqj3JIA9zSBuwzT4v7X8ZJ3tdHTzH9DcyKQo/4DGWJ/66Ka7SsbwvpEmj6HHFclWvpma4vHXo0z8tj2HCj2UVs1585c0rnlVJ88mwoooqSAooooAKKKKACiiigDA8WaXPfabHeWCbtS09/tFsuceZxh4/o6kj2O09qoWN7BqNhBe2zboZ0DoSMHB9R2PqK66uHubb/hHfEjQfd03VZGltz2iufvPH9H5ce4f2rehOz5WdOGqcr5X1NKiiiuw7wooooAKKKKACiiigAooooAKKKKACiiigAooooAKo6vqP8AZemyXQi81wyRxx7sb3dgijPbJYVeqhqWnHUJbAmXbFbXIuHTbnzNqttHthirf8BpMTvbQv0UUUxhRRRQB5jpn/FEfFGfTD8mla3+8g/upJk4H55XHutenVxvxL0B9Y8MNdWwIvtOb7TCy/ewPvAfgM/VRWt4Q19PEnhm01EEecy7J1H8Mg4b/H6EV6eM/wBooQxS3+GXqtn81+RzUv3c3T6br9SzBYz2/iS7vE2/Zbq3jDjPIlQsM491YD/gIrTqnqeoJpdmLqRGaPzY42wfuh3VNx9huyfYVcry0dC7HnPw9/ceNPGtr0H2wSKPYvJ/iK9Grznwx/o/xg8U23TzIVlx/wB8H/2evRq9LNNa6l3jF/8AkqMMN8Fuzf5hRRRXnHQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZ1lB/b3ipUI3afo7CWU9pLojKL/wBTvPuyelLq9/LZWiraxia+uXEFpCT9+U9M/7IALE9lUmuk0HR49D0eGxjcyuuXmmYfNNKxy7n3LEn26dq5687LlRy4mpZcqNKiiiuQ4QooooAKKKKACiiigAooooAKoazpMGt6VNYXBZVkAKSJ96Jwcq6/7SkAj6VfooA4jSby4mWazv1VNTs2EVyi8Bjj5ZF/2WHI/EdQa0aXxRpFxI0Wt6XFv1K0Uq8I4+1Q5y0f8AvDqp7HjgMarWV7BqNlFd2r74ZV3Ken4EdiOhHYiu6lU5lruelRq88ddyxRRRWpsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZ1hqEl7qWpwhVFvaSpArDqz7A7fgN6j6g1o1T03T49NgliR2cyzyzu79SzuWP5ZwPYCkIuUUUUxhRRRQAEZGD0rzHw4T4K+JF74ef5dN1T9/Z56K3OAP/Hl/4CtenVw/xP0SW/0BNWssrf6U/wBojdeu0YLflgN/wGvRy6pFzeHqP3ait6Po/kznxEXZTjvHX/M6zVrBdV0e80922i5heLd/dyCAfw61YtxMttELhlaYIBIV6Fsc49s1m+Gdbi8ReHrPU48Ayp+8UfwuOGH55/DFT2Wotc6lqVlJGEe0kTbg53xsgIb2+beP+A1wVKbpzcJaNaGykmlJdTiLX/Rvjte9vtOnj8cBP/iK9GrznVP9H+OejN0FxYMpPuBL/gK9GrvzHVUZd4R/C6/Qxw/215sKKKK846AooooAKKKKACiiigAooooAKKKKACkd1jRndgqKMsxOAB60tZX2Y+KNWbTF50m0YHUHHSZ+otx7dC/thf4jiJyUVdkTmoRuy74Vs31S8bxLdKRG6GLTYmH3IT1lI/vSYBHooX1NddSAAAADAHQClrgk3J3Z5kpOTuwooopEhRRRQAUUUUAFFFFABRRRQAUUUUAFcVrtm3hq/l1q3UnSblt2oRKP+Pdz/wAt1H90/wAY/wCBf3s9rSMoZSrAEEYIPeqjJxd0VCTi7o5lWV1DKQykZBByCKWsm7tG8HXIXk+HpnCxOf8AlwcnhG/6ZE/dP8J+XpjGtXdCamro9OnUU1dBRRRVlhRRRQAUUUUAFFFFABRRRQAUUUUAZmvXs1lYRi1IF1cXEVvESM4LuATj2Xc34Vp1XuLKG6uLSaUEtayGWLngMUZMkd+GP51YpC6hRRRTGFFFFABSMqujI6hlYYIIyCKWigDzLwezeD/HepeE5mIs7s/abEsfbp+QI+qe9egDTguuPqayEGS2W3kjxw21iynPtucf8CrjvihpE0ml23iGw+W/0mQShgOTHkE/kQD9M1t/8JMLrwVF4isghTYk0ytzsQMPOH1Ch/xFenj7V6UMYt3pL/EuvzWv3nLS/dydN9NV6f8AAOc8Yf6P8UfCNz08wtFn8cf+z16NXnPxK/c+IvBt4OkV/gn2LRn+hr0apxmuGoS8mvukyqWlSa81+QUUUV5x0BRRRQAUUUUAFFFFABRRRQAUUVnajqEsU0On6fCLjVLrPkxE/KijrJIeyLkZPc4A5NJtJXYpSUVdjL+5uru9j0XSWAv5l3yTEZW0izgyMO56hV7n2BrrtK0u10bTYbCzQrDEOCxyzEnJZj3Ykkk9yTVbQdDh0OzZBI1xdzt5t1dOMNNJjqfQDoF6AACtWuGpNzZ5tWo6jv0CiiiszIKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGTQxXEEkE8aSRSKUdHGVZTwQQeorhrm3l8HSrHM7y+H2IWG4clmsieiSHvH2Vz06N2Nd5TZI0mieKVFeNwVZWGQwPUEdxVQm4u6LhNwd0c31GRRWZeabc+EiZbVJbrQOrRLl5bEeqjq8Xt1XtkcLfgnhuoI57eVJYZFDJIjZVgehBHWu6E1NXR6NOopq6JKKKKs0CiiigAooooAKKKKACiiigDI0W5nvbvVrh5Ga3W7MFuvYCNQrn6+ZvH4Cteora1hs4fJt4xHHuZto9WJYn8SSfxqWkhLYKKKKYwooooAKKKKAGTRRzwyQyoHjkUq6nowIwRXmXgxf7C8R614F1AlrWcNLabv40Ycj8V5+qtXqFee/E/TZ7eGw8VaeMXulyqXI/ijJ7+wP6Ma9LLpKblhZ7VNF5SXwv9Pmc+IVkqi+z+XUrfFW3Gn+GtCkV3cWd5GgdzljhDyff5a9LryDx5rP9u+EbuRZN9uXtL61BA+RHVo2TjqQ6Nn/e+ler6fN9o021mznzIUf8wDRiItYKkmtYymvyFSadWVuqX6liiiivNOkKKKKACiiigAooooAKKKzLq/ubm+OlaLElxqIAMrv/AKq0U9GkI7+iDlvYZImUlFXZMpKKux2o6lJDPFp9hB9r1S4BMMGcBV6GSQ/woO579Bk8Vv6BoEejRSSyy/adRucNdXTDBkI6Ko/hQZOF7e5JJfoWgW2hwSbHe4u5yGubuXHmTMPX0A7KOAOlatcVSo5vyPPq1XUfkFFFFZmIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVyWo+GrnTZ5dQ8OKmJGL3GmM22OUnq0Z6Ruf++WPXBO6utopqTi7ocZOLujjNO1S21NJPJLpNE2ye3lXbLC3911PIP6HqMirtXNa8NWmsSJdK8lnqUS7Yr2DAdR/dYHh0/2WyPTB5rnH1G80aZbXxFDHBubbFqEWfs0x7Ak8xsf7rcejNXXTrKWj3O+liFLSWjNeiiitzoCiiigAooooAKxfEckjQ2FhDIySXt7FFuQ4IRT5j8+6RsPxrapjRxPIjsiNJHnaxAJXIwcelJ6iauh9FFFMYUUUUAFFFFABRRRQAVFdW0N7aTWtwgeGZDG6nupGCKlooTad0B4Bd240fSPE3hm+ybuyCvZSEkb4jLGzDHToFYemW969o8Ky+f4R0aTOS1lDn67BmuB+M2ghtPg8Qwja9v8AuLkjjKMflJ+hOP8AgVdV8NtQg1DwFpbQTLJ5UZhfafusp6H0OMH8RXvZhXpV8FCpFrmlK7XW9rN27O1/mcGHi4V3B7Jaelzq6KKK8E7wooooAKKKKACkZlRSzMFVRkknAAqjqGr2+nvHAVkuLyb/AFNpbrvll+i9h6scAdyKls/C91q7LceJdggB3JpULboh6ec3/LQ/7P3B6NwaznUUDKpWjD1Kds9/4obZpEjWul5xJqhXmQdxADwf+uh+Udt3br9L0my0axWzsIRFECWPJLOx6szHlmPcnk1cVQqhVAAAwAO1LXHObk7s8+dSU3dhRRRUEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFMlijnheGaNJInBV0cZDA9QQeop9FAHIXHhS70o+b4bnQQDrpl0xMX0iflovp8y+gHWqttrUMl2LG9hm0/UD0tboBWf1KMCVkHupPviu5qrqGm2OrWjWuoWkNzAxyUlQMM9iM9CPXqK1hWlE2p15Q03Rh0VXn8MappvzaHqAuIR/y5ak7MAPRJhlx/wIP+FUG1+KzkWHWrafSZidoN0B5Tn/AGZRlD7DIPsK6Y1YyOyFeEjXopAQwBBBB5BHelrU2CsPw2DONT1Nut5eyFM/8848RL+B8st/wKtmaaK3jMk0iRxggFnYAZJwOT7kCn0hW1CiiimMKKKKACiiigAooooAKKKKAMbxT4dt/FXh650i5leJJtpEidVZSCDjv06VkeEPD+j/AA90mTTX1eJ5pZPPled1jJ4A4XPA4rQ8Za1caH4eaWyVWv7mWO0tAw482RtoJ+nJ/CtHSdJg0iwW2jLSOfmmnk5edz1dj3J/Tp0FRZc1+pFk5X6l5WDqGUgqRkEHgilrkfh7M0ulaqiZ+xQ6tdR2XoIQ3AX/AGQSwH0rrqpO6uVF3Vwoqhf61p+myJDcXA+0Sf6u3jUyTSf7sagsfwFJBbeI9YIMNsmj2h/5bXYEk7D/AGYlO1fqzZHdamVSMdyJ1Yw3ZPfajZ6Zb+fe3McEedoLtjcewA6kn0HNV7eDXNe/49on0ewP/Lzcx/6Q4/2Ij9z6vz/sVu6X4W03S7gXm2S81DGDe3beZLz1C9kHsgUe1bVc067exyVMTJ6R0MzR/D+naHHILOJjNLgzXMrF5Zj6s55PsOg7AVp0UVgcwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU2SNJo2jlRXRhhlYZBHoRTqKAOYn8D6chL6PPc6PIedtmw8kn3hYFPyAPvVKSx8U6cPnt7LV4h/FbN9nmP/AAByUP13j6V2lZ+u6m2jaHe6mIklW0had1eTYCqgk84POB6Vcako7M0jVnHZninjH4mWdp4jsdAvdMvLeOK6gmvWnwrJtYOo2jIIzsYkHGBxmvUYJ4bmISwSxyxt0eNgwP4isLVhpVxYWnjvX/B9m4ggjuDKJ/MnhQ4ILIVVWK5zjJI7V08nhHw1qIW8j0yCJ5lDi4tM28jA8g74yrfrWka7T1NYYlp+8iGimP4NkiybDxDqtuO0crR3Cfm6l/8Ax6oToXimD/V6npV4OwltJIW/Fg7D/wAdFaqvE3WJg9yzRVEw+K4f9Zounze9vqJOfweJcfnTDda6n+s8J6ifeK4tmH6yg/pV+1h3LVem+po0Vmf2jqQ+94X1lfwgP8pTR/aWoHp4Z1k/9s4h/OSj2kO4/bQ7mnRWb9u1hv8AV+E9XJ/2pLVR+s1OU+JZf9X4cEf/AF838a/+gB6Paw7i9tT7mhRVRdM8Wz/eXRbPPfzZbnH4bY/51KnhTV5v+PzxPKg7iws44v8A0Z5hqXXgiXiaaM7xHop1zTY4o5Viube4iurd2GVWSNgy5Hoeh+tcnrvi9tOuBYalrNrppuklEskbic24BGBGqLu3FScFu4JA4wfRY/A2ikf6aLvUT3F7dSSIf+2edn/jtacegaNDDFDFpNgkULiSJFtkCow6MoxwfcVlKv2RhLE3+FHF6JDqMekWljoPhme1s4ogsb6lILdQPdfmkJ7nKjJ71sReEtRvDu1nXZTGf+XbTU+zp9C+TIfqGX6V1tFZurJmUq03pcz9L0PS9FjZNNsYbffzI6L88h9WY8sfck1oUUVmZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXFfFB3n8Jx6NC22bWr2DTkPoHcFz9NitXa1j6n4Y0rWL+2vb2O5e4tW3wMl5NGI2xjIVWABxkZxQBX1Pw1JrtkunateRvpu5TJa2sBiEwUghXJZjtyBwMZ9ccVvgBVCqAABgAdqWigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/9k=) +![md5:a1c91855e19d7139b669d241add4d40c](a1c91855e19d7139b669d241add4d40c.jpeg) @@ -256,7 +256,7 @@ Let \(A B C\) be a triangle, and let \(X\) , \(Y\) , and \(Z\) be collinear poin ## \(\P\) Solution 1 (Pitchayut Saengrungkonga) -![](data:image/jpeg;base64,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) +![md5:72862444c18803eda178621726170c6f](72862444c18803eda178621726170c6f.jpeg) Let \(S\) denote the circumcenter of \(\triangle X^{\prime}Y^{\prime}Z^{\prime}\) . Observe that \(A Y = A Z = A Y^{\prime} = A Z^{\prime}\) , so \(Y Z Y^{\prime}Z^{\prime}\) is cyclic and \(A S\perp Y^{\prime}Z^{\prime}\) . Similarly, \(B S\perp Z^{\prime}X^{\prime}\) and \(C S\perp X^{\prime}Y^{\prime}\) . @@ -283,7 +283,7 @@ Let \(A_{0}X^{\prime}\) meet \((A B C)\) again at \(P\) . Then Therefore \(P\) lies on \(B_{0}Y^{\prime}\) , and likewise \(C_{0}Z^{\prime}\) by symmetry. -![](data:image/jpeg;base64,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) +![md5:64e628e33fa16017ecddb0cfc41714ac](64e628e33fa16017ecddb0cfc41714ac.jpeg) Let \(X_{0}\) , \(Y_{0}\) , and \(Z_{0}\) be the reflections of \(P\) across \(B C\) , \(C A\) , and \(A B\) respectively. By reflection, \(X_{0}\) lies on \(A^{\prime}X\) and \(P X^{\prime} = X_{0}X\) . We also know that if \(H\) is the orthocenter of \(A B C\) , then \(X_{0}Y_{0}Z_{0}H\) is the Steiner line of \(P\) . Let \(D\) be the reflection of \(H\) across \(B C\) , which is also the antipode of \(A_{0}\) on \((A B C)\) . Then \(\angle A^{\prime}X_{0}H = \angle A_{0}P D = 90^{\circ}\) , so \(X_{0}Y_{0}Z_{0}H\) is perpendicular to \(A^{\prime}X_{0}X\) and parallel to \(X Y Z\) . diff --git a/USA_TST/segmented/en-sols-TST-IMO-2024.jsonl b/USA_TST/segmented/en-sols-TST-IMO-2024.jsonl index d98e13ca340f775fea5eec334a07761bd5faf5ce..da159e4e7e0ad1850a899e805326df1fa1fd1507 100644 --- a/USA_TST/segmented/en-sols-TST-IMO-2024.jsonl +++ b/USA_TST/segmented/en-sols-TST-IMO-2024.jsonl @@ -1,6 +1,6 @@ {"year": "2024", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "USA_TST", "problem": "Find the smallest constant \\(C > 1\\) such that the following statement holds: for every integer \\(n\\geq 2\\) and sequence of non-integer positive real numbers \\(a_{1}\\) , \\(a_{2}\\) , ..., \\(a_{n}\\) satisfying \n\n\\[\\frac{1}{a_{1}} +\\frac{1}{a_{2}} +\\dots +\\frac{1}{a_{n}} = 1,\\] \n\nit's possible to choose positive integers \\(b_{i}\\) such that \n\n(i) for each \\(i = 1,2,\\ldots ,n\\) , either \\(b_{i} = \\lfloor a_{i}\\rfloor\\) or \\(b_{i} = \\lfloor a_{i}\\rfloor +1\\) ; and \n\n(ii) we have \n\n\\[1< \\frac{1}{b_{1}} +\\frac{1}{b_{2}} +\\dots +\\frac{1}{b_{n}}\\leq C.\\]", "solution": "Answer. The answer is \\(C = \\frac{3}{2}\\) . \n\nLower bound. Note that if \\(a_{1} = \\frac{4n - 3}{2n - 1}\\) and \\(a_{i} = \\frac{4n - 3}{2n - 1}\\) for \\(i > 1\\) , then we must have \\(b_{1} \\in \\{1,2\\}\\) and \\(b_{i} \\in \\{2n - 2,2n - 1\\}\\) for \\(i > 1\\) . If we take \\(b_{1} = 2\\) then we obtain \n\n\\[\\frac{1}{b_{1}} +\\frac{1}{b_{2}} +\\dots +\\frac{1}{b_{n}}\\leq \\frac{1}{2} +(n - 1)\\cdot \\frac{1}{2n - 2} = 1,\\] \n\nwhereas if we take \\(b_{1} = 1\\) then we obtain \n\n\\[\\frac{1}{b_{1}} +\\frac{1}{b_{2}} +\\dots +\\frac{1}{b_{n}}\\geq 1 + (n - 1)\\cdot \\frac{1}{2n - 1} = \\frac{3n - 2}{2n - 1}.\\] \n\nThis shows that \\(C \\geq \\frac{3n - 2}{2n - 1}\\) , and as \\(n \\to \\infty\\) this shows that \\(C \\geq \\frac{3}{2}\\) . \n\nUpper bound. For \\(0 \\leq k \\leq n\\) , define \n\n\\[c_{i} = \\sum_{i = 1}^{k}\\frac{1}{\\lfloor a_{i}\\rfloor} +\\sum_{i = k + 1}^{n}\\frac{1}{\\lfloor a_{i}\\rfloor + 1}.\\] \n\nNote that \\(c_{0} < c_{1} < \\dots < c_{n}\\) and \n\n\\[c_{0} < \\frac{1}{a_{1}} +\\frac{1}{a_{2}} +\\dots +\\frac{1}{a_{n}} = 1 < c_{n}.\\] \n\nThis means there exists a unique value of \\(k\\) for which \\(c_{k - 1} < 1 < c_{k}\\) . For this \\(k\\) we have \n\n\\[1< c_{k} = c_{k - 1} + \\frac{1}{(\\lfloor a_{k}\\rfloor)(\\lfloor a_{k}\\rfloor + 1)} < 1 + \\frac{1}{1\\cdot 2} = \\frac{3}{2}.\\] \n\nTherefore we may choose \\(b_{i} = \\lfloor a_{i}\\rfloor\\) for \\(i \\leq k\\) and \\(b_{i} = \\lfloor a_{i}\\rfloor +1\\) for \\(i > k\\) .\n\n\n\nRemark. The solution can be phrased in the following “motion- based” way. Imagine starting with all floors (corresponding to \\(c_{0}\\) ), then changing each floor to a ceiling one by one until after \\(n\\) steps every floor is a ceiling (arriving at \\(c_{n}\\) ). As we saw, \\(c_{0} < 1 < c_{n}\\) , but \\(c_{0} < \\dots < c_{n}\\) . Moreover, each discrete step increases the sum by at most \n\n\\[\\frac{1}{\\lfloor a_{i}\\rfloor} -\\frac{1}{\\lfloor a_{i}\\rfloor + 1}\\leq \\frac{1}{2}\\] \n\nand so the changing sum must be in the interval \\([1,3 / 2]\\) at some point. \n\n\\(\\P\\) Upper bound (alternate). First suppose \\(a_{i}< 2\\) for some \\(i\\) . Assume without loss of generality \\(i = 1\\) here. Let \\(b_{1} = 1\\) and \\(b_{i} = \\lfloor a_{i}\\rfloor +1\\) for all other \\(i\\) . Then \n\n\\[1< \\frac{1}{b_{1}} +\\dots +\\frac{1}{b_{n}} = 1 + \\frac{1}{\\lfloor a_{2}\\rfloor +1} +\\dots +\\frac{1}{\\lfloor a_{n}\\rfloor +1}\\] \\[< \\left(\\frac{1}{2} +\\frac{1}{a_{1}}\\right) + \\frac{1}{a_{2}} +\\dots +\\frac{1}{a_{n}} = \\frac{3}{2}.\\] \n\nNow suppose \\(a_{i} > 2\\) always. Then \\(\\frac{a_{i}}{\\lfloor a_{i}\\rfloor} < \\frac{3}{2}\\) , so \n\n\\[1 = \\frac{1}{a_{1}} +\\dots +\\frac{1}{a_{n}} < \\frac{1}{\\lfloor a_{1}\\rfloor} +\\dots +\\frac{1}{\\lfloor a_{n}\\rfloor} < \\frac{3}{2}\\left(\\frac{1}{a_{1}} +\\dots +\\frac{1}{a_{n}}\\right) = \\frac{3}{2}.\\] \n\nTherefore we may let \\(b_{i} = \\lfloor a_{i}\\rfloor\\) for all \\(i\\) . \n\nRemark. The original proposal asked to find the optimal \\(C\\) for a fixed \\(n\\) . The answer is \\(\\frac{3n - 2}{2n - 1}\\) , i.e. the lower bound construction in the solution is optimal.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) USA TST 2024/1, proposed by Merlijn Staps \n"}} -{"year": "2024", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "USA_TST", "problem": "Let \\(A B C\\) be a triangle with incenter \\(I\\) . Let segment \\(A I\\) intersect the incircle of triangle \\(A B C\\) at point \\(D\\) . Suppose that line \\(B D\\) is perpendicular to line \\(A C\\) . Let \\(P\\) be a point such that \\(\\angle B P A = \\angle P A I = 90^{\\circ}\\) . Point \\(Q\\) lies on segment \\(B D\\) such that the circumcircle of triangle \\(A B Q\\) is tangent to line \\(B I\\) . Point \\(X\\) lies on line \\(P Q\\) such that \\(\\angle I A X = \\angle X A C\\) . Prove that \\(\\angle A X P = 45^{\\circ}\\) .", "solution": "We show several approaches. \n\nFirst solution, by author. \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — We have \\(B P = B Q\\) . \n\nProof. For readability, we split the proof into three unconditional parts. \n\n- We translate the condition \\(\\overline{B D} \\perp \\overline{A C}\\) . It gives \\(\\angle D B A = 90^{\\circ} - A\\) , so that \n\n\\[\\angle D B I = \\left|\\frac{B}{2} -(90^{\\circ} - A)\\right| = \\frac{|A - C|}{2}\\] \\[\\angle B D I = \\angle D B A + \\angle B A D = (90^{\\circ} - A) + \\frac{A}{2} = 90^{\\circ} - \\frac{A}{2}.\\]\n\n\n\nHence, letting \\(r\\) denote the inradius, we can translate \\(\\overline{BD} \\perp \\overline{AC}\\) into the following trig condition: \n\n\\[\\sin \\frac{B}{2} = \\frac{r}{BI} = \\frac{DI}{BI} = \\frac{\\sin \\angle DBI}{\\sin \\angle BDI} = \\frac{\\sin \\frac{|A - C|}{2}}{\\sin \\left(90^{\\circ} - \\frac{A}{2}\\right)}.\\] \n\n- The length of \\(BP\\) is given from right triangle \\(APB\\) as \n\n\\[BP = BA \\cdot \\sin \\angle PAB = BA \\cdot \\sin \\left(90^{\\circ} - \\frac{A}{2}\\right).\\] \n\n- The length of \\(BQ\\) is given from the law of sines on triangle \\(ABQ\\) . The tangency gives \\(\\angle BAQ = \\angle DBI\\) and \\(\\angle BQA = 180^{\\circ} - \\angle ABI = 180^{\\circ} - \\angle IBE\\) and thus \n\n\\[BQ = BA \\cdot \\frac{\\sin \\angle BAQ}{\\sin \\angle AQB} = BA \\cdot \\frac{\\sin \\angle DBI}{\\sin \\angle ABI} = BA \\cdot \\frac{\\sin \\frac{|A - C|}{2}}{\\sin \\frac{B}{2}}.\\] \n\nThe first bullet implies the expressions in the second and third bullet for \\(BP\\) and \\(BQ\\) are equal, as needed. \\(\\square\\) \n\nRemark. In the above proof, one dos not actually need to compute \\(\\angle DBI = \\frac{|A - C|}{2}\\) . The proof works equally leaving that expression intact as \\(\\sin \\angle DBI\\) in place of \\(\\sin \\frac{|A - C|}{2}\\) . \n\nNow we can finish by angle chasing. We have \n\n\\[\\angle PBQ = \\angle PBA + \\angle ABD = \\frac{A}{2} +90^{\\circ} - A = 90^{\\circ} - \\frac{A}{2}.\\] \n\nThen \n\n\\[\\angle BPQ = \\frac{180^{\\circ} - \\angle PBQ}{2} = 45^{\\circ} + \\frac{A}{4},\\] \n\nso \\(\\angle APQ = 90^{\\circ} - \\angle BPQ = 45^{\\circ} - \\frac{A}{4}\\) . Also, if we let \\(J\\) be the incenter of \\(IAC\\) , then \\(\\angle PAJ = 90^{\\circ} + \\frac{A}{4}\\) , and clearly \\(X\\) lies on line \\(AJ\\) . Then \\(\\angle APQ + \\angle PAJ = 135^{\\circ} < 180^{\\circ}\\) , so \\(X\\) lies on the same side of \\(AP\\) as \\(Q\\) and \\(J\\) (by the parallel postulate). Therefore \\(\\angle AXP = 180^{\\circ} - 135^{\\circ} = 45^{\\circ}\\) , as desired. \n\nRemark. The problem was basically written backwards by starting from the \\(BD \\perp AC\\) condition, turning that into trig, and then contriving \\(P\\) and \\(Q\\) so that the \\(BD \\perp AC\\) condition implied \\(BP = BQ\\) . \n\nSecond solution, by Jeffrey Kwan. We prove the following restatement: \n\nConsider isosceles triangle \\(AEF\\) with \\(AE = AF\\) and incenter \\(D\\) . Let \\(B\\) be the point on ray \\(AE\\) such that \\(BD \\perp AF\\) , and let \\(P\\) be the projection of \\(B\\) onto the line through \\(A\\) parallel to \\(EF\\) . Let \\(I\\) be the point diametrically opposite \\(A\\) in the circumcircle of \\(AEF\\) , and let \\(Q\\) be the point on line \\(BD\\) such that \\(BI\\) is tangent to the circumcircle of \\(AQB\\) . Then \\(\\angle APQ = 45^{\\circ} - \\angle A / 4\\) . \n\nFirst note that \\(\\angle DFE = 45^{\\circ} - \\angle A / 4\\) , so it suffices to show that \\(\\overline{PQ} \\parallel \\overline{DF}\\) . Let \\(U = \\overline{BD} \\cap \\overline{EF}\\) , and let \\(V = BI \\cap (AEF)\\) . Observe that:\n\n\n\n- \\(P\\) and \\(V\\) both lie on the circle with diameter \\(AB\\) , so \\(\\angle BVP = \\angle PAB = 90^{\\circ} - \\angle A / 2\\) . \n\n- We have \\(\\angle EVB = \\angle EVI = \\angle A / 2 = \\angle DUF = \\angle BUE\\) . Hence \\(BEUV\\) is cyclic. \n\nNow \\(\\angle BUV = \\angle AEU = 90^{\\circ} - \\angle A / 2 = \\angle BVP\\) , so \\(\\overline{PUV}\\) are collinear. \n\n![](data:image/jpeg;base64,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)\n \n\nFrom the tangency condition, we have that \\(\\angle AQB = 180^{\\circ} - \\angle ABI\\) , which implies that \n\n\\[\\angle AQU + \\angle APU = \\angle AQB + \\angle APV = (180^{\\circ} - \\angle ABI) + \\angle ABI = 180^{\\circ},\\] \n\nand so \\(APUQ\\) is cyclic. Finally, note that \\(D\\) is the orthocenter of \\(\\triangle AUVF\\) , which implies that \n\n\\[\\angle APQ = \\angle AUQ = \\angle AUD = \\angle AFD = \\angle DFE.\\] \n\nThis forces \\(\\overline{PQ} \\parallel \\overline{DF}\\) , as desired. \n\n\\(\\P\\) Third solution by Pitchayut Saengrungkongka and Maxim Li. We provide yet another proof that \\(BP = BQ\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nLet the incircle be \\(\\omega\\) and touch \\(BC\\) and \\(AB\\) at point \\(U\\) and \\(W\\) . Let the tangent to \\(\\omega\\) at \\(D\\) meet \\(UW\\) at \\(T\\) . Notice that \\(T\\) is the pole of \\(BD\\) with respect to \\(\\omega\\) , so \\(IT \\perp BD\\) . Now, we make the following critical claim, which in particular implies \\(BP = BQ\\) . \n\nClaim — Quadrilaterals \\(DIWT\\) and \\(PBQA\\) are inversely similar.\n\n\n\nProof. This follows from four angle relations. \n\n\\(\\angle IDT = \\angle BPA = 90^{\\circ}\\) . \\(\\angle TIW = \\angle ABQ\\) . \\(\\angle DIT = \\angle IAC = \\angle BAI = \\angle ABP\\) . \\(\\angle ITW = \\angle QBI = \\angle QAB\\) . \n\nWith \\(BP = BQ\\) obtained, one finishes with the same angle chasing as in the first solution.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) USA TST 2024/2, proposed by Luke Robitaille \n"}} +{"year": "2024", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "USA_TST", "problem": "Let \\(A B C\\) be a triangle with incenter \\(I\\) . Let segment \\(A I\\) intersect the incircle of triangle \\(A B C\\) at point \\(D\\) . Suppose that line \\(B D\\) is perpendicular to line \\(A C\\) . Let \\(P\\) be a point such that \\(\\angle B P A = \\angle P A I = 90^{\\circ}\\) . Point \\(Q\\) lies on segment \\(B D\\) such that the circumcircle of triangle \\(A B Q\\) is tangent to line \\(B I\\) . Point \\(X\\) lies on line \\(P Q\\) such that \\(\\angle I A X = \\angle X A C\\) . Prove that \\(\\angle A X P = 45^{\\circ}\\) .", "solution": "We show several approaches. \n\nFirst solution, by author. \n\n![md5:881e7417491de055ce2001ea7ce5d3da](881e7417491de055ce2001ea7ce5d3da.jpeg)\n \n\nClaim — We have \\(B P = B Q\\) . \n\nProof. For readability, we split the proof into three unconditional parts. \n\n- We translate the condition \\(\\overline{B D} \\perp \\overline{A C}\\) . It gives \\(\\angle D B A = 90^{\\circ} - A\\) , so that \n\n\\[\\angle D B I = \\left|\\frac{B}{2} -(90^{\\circ} - A)\\right| = \\frac{|A - C|}{2}\\] \\[\\angle B D I = \\angle D B A + \\angle B A D = (90^{\\circ} - A) + \\frac{A}{2} = 90^{\\circ} - \\frac{A}{2}.\\]\n\n\n\nHence, letting \\(r\\) denote the inradius, we can translate \\(\\overline{BD} \\perp \\overline{AC}\\) into the following trig condition: \n\n\\[\\sin \\frac{B}{2} = \\frac{r}{BI} = \\frac{DI}{BI} = \\frac{\\sin \\angle DBI}{\\sin \\angle BDI} = \\frac{\\sin \\frac{|A - C|}{2}}{\\sin \\left(90^{\\circ} - \\frac{A}{2}\\right)}.\\] \n\n- The length of \\(BP\\) is given from right triangle \\(APB\\) as \n\n\\[BP = BA \\cdot \\sin \\angle PAB = BA \\cdot \\sin \\left(90^{\\circ} - \\frac{A}{2}\\right).\\] \n\n- The length of \\(BQ\\) is given from the law of sines on triangle \\(ABQ\\) . The tangency gives \\(\\angle BAQ = \\angle DBI\\) and \\(\\angle BQA = 180^{\\circ} - \\angle ABI = 180^{\\circ} - \\angle IBE\\) and thus \n\n\\[BQ = BA \\cdot \\frac{\\sin \\angle BAQ}{\\sin \\angle AQB} = BA \\cdot \\frac{\\sin \\angle DBI}{\\sin \\angle ABI} = BA \\cdot \\frac{\\sin \\frac{|A - C|}{2}}{\\sin \\frac{B}{2}}.\\] \n\nThe first bullet implies the expressions in the second and third bullet for \\(BP\\) and \\(BQ\\) are equal, as needed. \\(\\square\\) \n\nRemark. In the above proof, one dos not actually need to compute \\(\\angle DBI = \\frac{|A - C|}{2}\\) . The proof works equally leaving that expression intact as \\(\\sin \\angle DBI\\) in place of \\(\\sin \\frac{|A - C|}{2}\\) . \n\nNow we can finish by angle chasing. We have \n\n\\[\\angle PBQ = \\angle PBA + \\angle ABD = \\frac{A}{2} +90^{\\circ} - A = 90^{\\circ} - \\frac{A}{2}.\\] \n\nThen \n\n\\[\\angle BPQ = \\frac{180^{\\circ} - \\angle PBQ}{2} = 45^{\\circ} + \\frac{A}{4},\\] \n\nso \\(\\angle APQ = 90^{\\circ} - \\angle BPQ = 45^{\\circ} - \\frac{A}{4}\\) . Also, if we let \\(J\\) be the incenter of \\(IAC\\) , then \\(\\angle PAJ = 90^{\\circ} + \\frac{A}{4}\\) , and clearly \\(X\\) lies on line \\(AJ\\) . Then \\(\\angle APQ + \\angle PAJ = 135^{\\circ} < 180^{\\circ}\\) , so \\(X\\) lies on the same side of \\(AP\\) as \\(Q\\) and \\(J\\) (by the parallel postulate). Therefore \\(\\angle AXP = 180^{\\circ} - 135^{\\circ} = 45^{\\circ}\\) , as desired. \n\nRemark. The problem was basically written backwards by starting from the \\(BD \\perp AC\\) condition, turning that into trig, and then contriving \\(P\\) and \\(Q\\) so that the \\(BD \\perp AC\\) condition implied \\(BP = BQ\\) . \n\nSecond solution, by Jeffrey Kwan. We prove the following restatement: \n\nConsider isosceles triangle \\(AEF\\) with \\(AE = AF\\) and incenter \\(D\\) . Let \\(B\\) be the point on ray \\(AE\\) such that \\(BD \\perp AF\\) , and let \\(P\\) be the projection of \\(B\\) onto the line through \\(A\\) parallel to \\(EF\\) . Let \\(I\\) be the point diametrically opposite \\(A\\) in the circumcircle of \\(AEF\\) , and let \\(Q\\) be the point on line \\(BD\\) such that \\(BI\\) is tangent to the circumcircle of \\(AQB\\) . Then \\(\\angle APQ = 45^{\\circ} - \\angle A / 4\\) . \n\nFirst note that \\(\\angle DFE = 45^{\\circ} - \\angle A / 4\\) , so it suffices to show that \\(\\overline{PQ} \\parallel \\overline{DF}\\) . Let \\(U = \\overline{BD} \\cap \\overline{EF}\\) , and let \\(V = BI \\cap (AEF)\\) . Observe that:\n\n\n\n- \\(P\\) and \\(V\\) both lie on the circle with diameter \\(AB\\) , so \\(\\angle BVP = \\angle PAB = 90^{\\circ} - \\angle A / 2\\) . \n\n- We have \\(\\angle EVB = \\angle EVI = \\angle A / 2 = \\angle DUF = \\angle BUE\\) . Hence \\(BEUV\\) is cyclic. \n\nNow \\(\\angle BUV = \\angle AEU = 90^{\\circ} - \\angle A / 2 = \\angle BVP\\) , so \\(\\overline{PUV}\\) are collinear. \n\n![md5:7611450162d3bf3d96760a7bf83408c5](7611450162d3bf3d96760a7bf83408c5.jpeg)\n \n\nFrom the tangency condition, we have that \\(\\angle AQB = 180^{\\circ} - \\angle ABI\\) , which implies that \n\n\\[\\angle AQU + \\angle APU = \\angle AQB + \\angle APV = (180^{\\circ} - \\angle ABI) + \\angle ABI = 180^{\\circ},\\] \n\nand so \\(APUQ\\) is cyclic. Finally, note that \\(D\\) is the orthocenter of \\(\\triangle AUVF\\) , which implies that \n\n\\[\\angle APQ = \\angle AUQ = \\angle AUD = \\angle AFD = \\angle DFE.\\] \n\nThis forces \\(\\overline{PQ} \\parallel \\overline{DF}\\) , as desired. \n\n\\(\\P\\) Third solution by Pitchayut Saengrungkongka and Maxim Li. We provide yet another proof that \\(BP = BQ\\) . \n\n![md5:0a77a1375ef382994a16d8274426dad7](0a77a1375ef382994a16d8274426dad7.jpeg)\n \n\nLet the incircle be \\(\\omega\\) and touch \\(BC\\) and \\(AB\\) at point \\(U\\) and \\(W\\) . Let the tangent to \\(\\omega\\) at \\(D\\) meet \\(UW\\) at \\(T\\) . Notice that \\(T\\) is the pole of \\(BD\\) with respect to \\(\\omega\\) , so \\(IT \\perp BD\\) . Now, we make the following critical claim, which in particular implies \\(BP = BQ\\) . \n\nClaim — Quadrilaterals \\(DIWT\\) and \\(PBQA\\) are inversely similar.\n\n\n\nProof. This follows from four angle relations. \n\n\\(\\angle IDT = \\angle BPA = 90^{\\circ}\\) . \\(\\angle TIW = \\angle ABQ\\) . \\(\\angle DIT = \\angle IAC = \\angle BAI = \\angle ABP\\) . \\(\\angle ITW = \\angle QBI = \\angle QAB\\) . \n\nWith \\(BP = BQ\\) obtained, one finishes with the same angle chasing as in the first solution.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) USA TST 2024/2, proposed by Luke Robitaille \n"}} {"year": "2024", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "USA_TST", "problem": "Let \\(n > k\\geq 1\\) be integers and let \\(p\\) be a prime dividing \\(\\textstyle{\\binom{n}{k}}\\) . Prove that the \\(k\\) -element subsets of \\(\\{1,\\ldots ,n\\}\\) can be split into \\(p\\) classes of equal size, such that any two subsets with the same sum of elements belong to the same class.", "solution": "## Problem statem \n\nLet \\(\\sigma (S)\\) denote the sum of the elements of \\(S\\) , so that \n\n\\[P(x):= \\sum_{S\\subseteq \\{1,\\ldots ,n\\}}x^{\\sigma (S)}\\] \n\nis the generating function for the sums of \\(k\\) - element subsets of \\(\\{1, \\ldots , n\\}\\) . \n\nBy Legendre's formula, \n\n\\[\\nu_{p}\\left(\\binom{n}{k}\\right) = \\sum_{r = 1}^{\\infty}\\left(\\left\\lfloor \\frac{n}{p^{r}}\\right\\rfloor -\\left\\lfloor \\frac{k}{p^{r}}\\right\\rfloor -\\left\\lfloor \\frac{n - k}{p^{r}}\\right\\rfloor\\right)\\] \n\nso there exists a positive integer \\(r\\) with \n\n\\[\\left\\lfloor \\frac{n}{p^{r}}\\right\\rfloor -\\left\\lfloor \\frac{k}{p^{r}}\\right\\rfloor -\\left\\lfloor \\frac{n - k}{p^{r}}\\right\\rfloor >0.\\] \n\nThe main claim is the following: \n\nClaim — \\(P(x)\\) is divisible by \n\n\\[\\Phi_{p^{r}}(x) = x^{(p - 1)p^{r - 1}} + \\dots +x^{p^{r - 1}} + 1.\\] \n\nBefore proving this claim, we will show how it solves the problem. It implies that there exists a polynomial \\(Q\\) with integer coefficients satisfying \n\n\\[P(x) = \\Phi_{p^{r}}(x)Q(x)\\] \\[\\qquad = (x^{(p - 1)p^{r - 1}} + \\dots +x^{p^{r - 1}} + 1)Q(x).\\] \n\nLet \\(c_{0}\\) , \\(c_{1}\\) , ... denote the coefficients of \\(P\\) , and define \n\n\\[s_{i} = \\sum_{j\\equiv i\\pmod{p^{r}}}c_{j}.\\] \n\nThen it's easy to see that \n\n\\[s_{0} = s_{p^{r - 1}} = \\dots = s_{(p - 1)p^{r - 1}}\\] \\[s_{1} = s_{p^{r - 1} + 1} = \\dots = s_{(p - 1)p^{r - 1} + 1}\\] \\[\\qquad \\vdots\\] \\[s_{p^{r - 1} - 1} = s_{2p^{r - 1} - 1} = \\dots = s_{p^{r} - 1}.\\] \n\nThis means we can construct the \\(p\\) classes by placing a set with sum \\(z\\) in class \\(\\left\\lfloor \\frac{z \\mod p^{r}}{p^{r - 1}}\\right\\rfloor\\) . Now we present two ways to prove the claim.\n\n\n\nFirst proof of claim. There's a natural bijection between \\(k\\) - element subsets of \\(\\{1,\\ldots ,n\\}\\) and binary strings consisting of \\(k\\) zeroes and \\(\\ell\\) ones: the set \\(\\{a_{1},\\ldots ,a_{k}\\}\\) corresponds to the string which has zeroes at positions \\(a_{1}\\) , ..., \\(a_{k}\\) . Moreover, the inversion count of this string is simply \\((a_{1} + \\dots +a_{k}) - \\frac{1}{2} k(k + 1)\\) , so we only deal with these inversion counts (equivalently, we are factoring \\(x^{\\frac{k(k + 1)}{2}}\\) out of \\(P\\) ). \n\nRecall that the generating function for these inversion counts is given by the \\(q\\) - binomial coefficient \n\n\\[P(x) = \\frac{(x - 1)\\cdot\\cdot\\cdot(x^{k + \\ell} - 1)}{[(x - 1)\\cdot\\cdot\\cdot(x^{k} - 1)]\\times[(x - 1)\\cdot\\cdot\\cdot(x^{\\ell} - 1)]}.\\] \n\nBy choice of \\(r\\) , the numerator of \\(P(x)\\) has more factors of \\(\\Phi_{p^{r}}(x)\\) than the denominator, so \\(\\Phi_{p^{r}}(x)\\) divides \\(P(x)\\) . \n\nRemark. Here is a proof that \\(P(x)\\) is divisible by \\(\\Phi_{p^{r}}(x)\\) for some \\(r\\) using the \\(q\\) - binomial formula, without explicitly identifying \\(r\\) . We know that \\(P(x)\\) is the product of several cyclotomic polynomials, and that \\(P(1)\\) is a multiple of \\(p\\) . Thus there is a factor \\(\\Phi_{q}(x)\\) for which \\(\\Phi_{q}(1)\\) is a multiple of \\(p\\) , which is equivalent to \\(q\\) being a power of \\(p\\) . \n\nSecond proof of claim. Note that \\(P(x)\\) is the coefficient of \\(y^{k}\\) in the polynomial \n\n\\[Q(x,y):= (1 + xy)(1 + x^{2}y)\\cdot \\cdot \\cdot (1 + x^{n}y).\\] \n\nLet \\(a\\) be the remainder when \\(n\\) is divided by \\(p^{r}\\) , and let \\(b\\) be the remainder when \\(k\\) is divided by \\(p^{r}\\) ; then we have \\(a< b\\) by the choice of \\(r\\) . Let \\(q = \\lfloor n / p^{r}\\rfloor\\) so \\(n = p^{r}q + a\\) . Consider taking \\(x\\) to be a primitive \\(p^{r}\\) th root of unity, say \\(\\omega\\) . Then \n\n\\[Q(\\omega ,y) = \\left[(1 + \\omega y)(1 + \\omega^{2}y)\\cdot \\cdot \\cdot (1 + \\omega^{p^{r}}y)\\right]^{q}(1 + \\omega y)(1 + \\omega^{2}y)\\cdot \\cdot \\cdot (1 + \\omega^{a}y).\\] \n\nNow \\(\\omega\\) , \\(\\omega^{2}\\) , ..., \\(\\omega^{p^{r}}\\) are all the \\(p^{r}\\) th roots of unity, each exactly once; then we can see that \n\n\\[(1 + \\omega y)(1 + \\omega^{2}y)\\cdot \\cdot \\cdot (1 + \\omega^{p^{r}}y)\\] \\[= (1 - \\omega (-y))(1 - \\omega^{2}(-y))\\cdot \\cdot \\cdot (1 - \\omega^{p^{r}}(-y))\\] \\[= 1 - (-y)^{p^{r}},\\] \n\nso \n\n\\[Q(\\omega ,y) = (1 - (-y)^{p^{r}})^{q}(1 + \\omega y)(1 + \\omega^{2}y)\\cdot \\cdot \\cdot (1 + \\omega^{a}y).\\] \n\nIn particular, for any \\(m\\) , if the coefficient of \\(y^{m}\\) in \\(Q(w,x)\\) is nonzero, then \\(m\\) must be congruent to one of \\(0,1,\\ldots ,a\\) (mod \\(p^{r}\\) ). Therefore the coefficient of \\(y^{k}\\) in \\(Q(\\omega ,y)\\) is zero. This means that \\(P(\\omega) = 0\\) whenever \\(\\omega\\) is a primitive \\(p^{r}\\) th root of unity, which proves the claim.\n\n\n\n## \\(\\S 2\\) Solutions to Day 2", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) USA TST 2024/3, proposed by Ankan Bhattacharya \n"}} -{"year": "2024", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "USA_TST", "problem": "Find all integers \\(n\\geq 2\\) for which there exists a sequence of \\(2n\\) pairwise distinct points \\((P_{1},\\ldots ,P_{n},Q_{1},\\ldots ,Q_{n})\\) in the plane satisfying the following four conditions: \n\n(i) no three of the \\(2n\\) points are collinear; \n\n(ii) \\(P_{i}P_{i + 1}\\geq 1\\) for all \\(i = 1,2,\\ldots ,n\\) , where \\(P_{n + 1} = P_{1}\\) \n\n(iii) \\(Q_{i}Q_{i + 1}\\geq 1\\) for all \\(i = 1,2,\\ldots ,n\\) , where \\(Q_{n + 1} = Q_{1}\\) ; and \n\n(iv) \\(P_{i}Q_{j}\\leq 1\\) for all \\(i = 1,2,\\ldots ,n\\) and \\(j = 1,2,\\ldots ,n\\)", "solution": "Find alln\\) . \n\nAnswer. Even integers only. \n\nProof that even \\(n\\) work. If we ignore the conditions that the points are pairwise distinct and form no collinear triples, we may take \n\n\\[P_{2i + 1} = (0.51,0), \\quad P_{2i} = (-0.51,0), \\quad Q_{2i + 1} = (0,0.51), \\quad Q_{2i} = (0, -0.51).\\] \n\nThe distances \\(P_{i}P_{i + 1}\\) and \\(Q_{i}Q_{i + 1}\\) are \\(1.02 > 1\\) , while the distances \\(P_{i}Q_{j}\\) are \\(0.51\\sqrt{2} < 1\\) . We may then perturb each point by a small amount to ensure that the distance inequalities still hold and have the points in general position. \n\nProof that odd \\(n\\) do not work. The main claim is the following. \n\nClaim — For \\(1 \\leq i \\leq n\\) , points \\(Q_{i}\\) and \\(Q_{i + 1}\\) must lie on opposite sides of line \\(P_{1}P_{2}\\) . \n\nTo isolate the geometry component of the problem, we rewrite the claim in the following contrapositive form, without referencing the points \\(Q_{i}\\) and \\(Q_{i + 1}\\) : \n\n## Lemma \n\nSuppose \\(A\\) and \\(B\\) are two points such that \\(\\max (P_{1}A, P_{1}B, P_{2}A, P_{2}B) \\leq 1\\) , and moreover \\(A\\) and \\(B\\) lie on the same side of line \\(P_{1}P_{2}\\) . Further assume no three of \\(\\{P_{1}, P_{2}, A, B\\}\\) are collinear. Then \\(AB < 1\\) .\n\n\n![](data:image/jpeg;base64,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)\n \n\nProof of lemma. Suppose for the sake of contradiction that \\(A\\) and \\(B\\) lie on the same side of \\(P_{1}P_{2}\\) . The convex hull of these four points is either a quadrilateral or a triangle. \n\n- If the convex hull is a quadrilateral, assume WLOG that the vertices are \\(P_{1}P_{2}AB\\) in order. Let \\(X\\) denote the intersection of segments \\(P_{1}A\\) and \\(P_{2}B\\) . Then \n\n\\[1 + AB = P_{1}P_{2} + AB< P_{1}X + XP_{2} + AX + XB = P_{1}A + P_{2}B\\leq 2.\\] \n\n- Otherwise, assume WLOG that \\(B\\) is in the interior of triangle \\(P_{1}P_{2}A\\) . Since \\(\\angle P_{1}BA + \\angle P_{2}BA = 360^{\\circ} - \\angle P_{1}BP_{2} > 180^{\\circ}\\) , at least one of \\(\\angle P_{1}BA\\) and \\(\\angle P_{2}BA\\) is obtuse. Assume WLOG the former angle is obtuse; then \\(AB< P_{1}A\\leq 1\\) . \\(\\square\\) \n\nRemark. Another proof of the lemma can be found by replacing segment \\(AB\\) with the intersection of this line on the boundary of the blue region above, which does not decrease the distance. In other words, one can assume WLOG that \\(A\\) and \\(B\\) lie on either segment \\(AB\\) or one of the two circular arcs. One then proves that \\(AB\\leq 1\\) , and that for equality to occur, one of \\(A\\) and \\(B\\) must lie on segment \\(P_{1}P_{2}\\) However, this approach seems to involve a fair bit more calculation. \n\nYet another clever approach uses the trivia- fact that a Reuleaux triangle happens to have constant width. \n\nIn any case, it's important to realize that this claim is not trivial; while it looks like it is easy to prove, it is not, owing to the two near- equality cases. \n\nIt follows from the claim that \\(Q_{i}\\) is on the same side of line \\(P_{1}P_{2}\\) as \\(Q_{1}\\) if \\(i\\) is odd, and on the opposite side if \\(i\\) is even. Since \\(Q_{1} = Q_{n + 1}\\) , this means the construction is not possible when \\(n\\) is odd. \n\nRemark. The fact that \\(n\\) cannot be odd follows from Theorem 3 of EPTAS for Max Clique on Disks and Unit Balls. In the language of that paper, if \\(G\\) is a unit ball graph, then the induced odd cycle parking number of \\(\\bar{G}\\) is at most 1. \n\nIn earlier versions of the proposed problem, the points were not necessarily distinct to make the even \\(n\\) case nicer, but this resulted in annoying boundary conditions for the odd \\(n\\) case.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) USA TST 2024/4, proposed by Ray Li \n"}} +{"year": "2024", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "USA_TST", "problem": "Find all integers \\(n\\geq 2\\) for which there exists a sequence of \\(2n\\) pairwise distinct points \\((P_{1},\\ldots ,P_{n},Q_{1},\\ldots ,Q_{n})\\) in the plane satisfying the following four conditions: \n\n(i) no three of the \\(2n\\) points are collinear; \n\n(ii) \\(P_{i}P_{i + 1}\\geq 1\\) for all \\(i = 1,2,\\ldots ,n\\) , where \\(P_{n + 1} = P_{1}\\) \n\n(iii) \\(Q_{i}Q_{i + 1}\\geq 1\\) for all \\(i = 1,2,\\ldots ,n\\) , where \\(Q_{n + 1} = Q_{1}\\) ; and \n\n(iv) \\(P_{i}Q_{j}\\leq 1\\) for all \\(i = 1,2,\\ldots ,n\\) and \\(j = 1,2,\\ldots ,n\\)", "solution": "Find alln\\) . \n\nAnswer. Even integers only. \n\nProof that even \\(n\\) work. If we ignore the conditions that the points are pairwise distinct and form no collinear triples, we may take \n\n\\[P_{2i + 1} = (0.51,0), \\quad P_{2i} = (-0.51,0), \\quad Q_{2i + 1} = (0,0.51), \\quad Q_{2i} = (0, -0.51).\\] \n\nThe distances \\(P_{i}P_{i + 1}\\) and \\(Q_{i}Q_{i + 1}\\) are \\(1.02 > 1\\) , while the distances \\(P_{i}Q_{j}\\) are \\(0.51\\sqrt{2} < 1\\) . We may then perturb each point by a small amount to ensure that the distance inequalities still hold and have the points in general position. \n\nProof that odd \\(n\\) do not work. The main claim is the following. \n\nClaim — For \\(1 \\leq i \\leq n\\) , points \\(Q_{i}\\) and \\(Q_{i + 1}\\) must lie on opposite sides of line \\(P_{1}P_{2}\\) . \n\nTo isolate the geometry component of the problem, we rewrite the claim in the following contrapositive form, without referencing the points \\(Q_{i}\\) and \\(Q_{i + 1}\\) : \n\n## Lemma \n\nSuppose \\(A\\) and \\(B\\) are two points such that \\(\\max (P_{1}A, P_{1}B, P_{2}A, P_{2}B) \\leq 1\\) , and moreover \\(A\\) and \\(B\\) lie on the same side of line \\(P_{1}P_{2}\\) . Further assume no three of \\(\\{P_{1}, P_{2}, A, B\\}\\) are collinear. Then \\(AB < 1\\) .\n\n\n![md5:4bddf4f41abbc91bbfcd7fca5a9e628a](4bddf4f41abbc91bbfcd7fca5a9e628a.jpeg)\n \n\nProof of lemma. Suppose for the sake of contradiction that \\(A\\) and \\(B\\) lie on the same side of \\(P_{1}P_{2}\\) . The convex hull of these four points is either a quadrilateral or a triangle. \n\n- If the convex hull is a quadrilateral, assume WLOG that the vertices are \\(P_{1}P_{2}AB\\) in order. Let \\(X\\) denote the intersection of segments \\(P_{1}A\\) and \\(P_{2}B\\) . Then \n\n\\[1 + AB = P_{1}P_{2} + AB< P_{1}X + XP_{2} + AX + XB = P_{1}A + P_{2}B\\leq 2.\\] \n\n- Otherwise, assume WLOG that \\(B\\) is in the interior of triangle \\(P_{1}P_{2}A\\) . Since \\(\\angle P_{1}BA + \\angle P_{2}BA = 360^{\\circ} - \\angle P_{1}BP_{2} > 180^{\\circ}\\) , at least one of \\(\\angle P_{1}BA\\) and \\(\\angle P_{2}BA\\) is obtuse. Assume WLOG the former angle is obtuse; then \\(AB< P_{1}A\\leq 1\\) . \\(\\square\\) \n\nRemark. Another proof of the lemma can be found by replacing segment \\(AB\\) with the intersection of this line on the boundary of the blue region above, which does not decrease the distance. In other words, one can assume WLOG that \\(A\\) and \\(B\\) lie on either segment \\(AB\\) or one of the two circular arcs. One then proves that \\(AB\\leq 1\\) , and that for equality to occur, one of \\(A\\) and \\(B\\) must lie on segment \\(P_{1}P_{2}\\) However, this approach seems to involve a fair bit more calculation. \n\nYet another clever approach uses the trivia- fact that a Reuleaux triangle happens to have constant width. \n\nIn any case, it's important to realize that this claim is not trivial; while it looks like it is easy to prove, it is not, owing to the two near- equality cases. \n\nIt follows from the claim that \\(Q_{i}\\) is on the same side of line \\(P_{1}P_{2}\\) as \\(Q_{1}\\) if \\(i\\) is odd, and on the opposite side if \\(i\\) is even. Since \\(Q_{1} = Q_{n + 1}\\) , this means the construction is not possible when \\(n\\) is odd. \n\nRemark. The fact that \\(n\\) cannot be odd follows from Theorem 3 of EPTAS for Max Clique on Disks and Unit Balls. In the language of that paper, if \\(G\\) is a unit ball graph, then the induced odd cycle parking number of \\(\\bar{G}\\) is at most 1. \n\nIn earlier versions of the proposed problem, the points were not necessarily distinct to make the even \\(n\\) case nicer, but this resulted in annoying boundary conditions for the odd \\(n\\) case.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) USA TST 2024/4, proposed by Ray Li \n"}} {"year": "2024", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "USA_TST", "problem": "Suppose \\(a_{1}< a_{2}< \\dots < a_{2024}\\) is an arithmetic sequence of positive integers, and \\(b_{1}< b_{2}< \\dots < b_{2024}\\) is a geometric sequence of positive integers. Find the maximum possible number of integers that could appear in both sequences, over all possible choices of the two sequences.", "solution": "Answer. 11 terms. \n\nConstruction. Let \\(a_{i} = i\\) and \\(b_{i} = 2^{i - 1}\\) \n\nBound. We show a \\(\\nu_{p}\\) - based approach communicated by Derek Liu, which seems to be the shortest one. At first, we completely ignore the geometric sequence \\(b_{i}\\) and focus only on the arithmetic sequence. \n\nClaim — Let \\(p\\) be any prime, and consider the sequence \n\n\\[\\nu_{p}(a_{1}), \\nu_{p}(a_{2}), \\ldots , \\nu_{p}(a_{2024}).\\] \n\nSet \\(C := \\lfloor \\log_{p}(2023) \\rfloor\\) . Then there are at most \\(C + 2\\) different values in this sequence. \n\nProof. By scaling, assume the \\(a_{i}\\) do not have a common factor, so that \\(a_{i} = a + d i\\) where \\(\\gcd (a,d) = 1\\) . \n\n- If \\(p \\mid d\\) , then \\(p \\nmid a\\) and \\(\\nu_{p}(a_{i})\\) is constant. \n\n- Otherwise, assume \\(p \\nmid d\\) . We will in fact prove that every term in the sequence is contained in \\(\\{0,1,\\ldots ,C\\}\\) with at most one exception. \n\nDefine \\(M := \\max_{i} \\nu_{p}(a_{i})\\) . If \\(M \\leq C\\) , there is nothing to prove. Otherwise, fix some index \\(m\\) such that \\(\\nu_{p}(a_{m}) = M\\) . We know \\(\\nu_{p}(i - m) \\leq C\\) since \\(|i - m| \\leq 2023\\) . But now for any other index \\(i \\neq m\\) ; \n\n\\[\\nu_{p}(d(i - m)) = \\nu_{p}(i - m)\\leq C< M = \\nu_{p}(a_{m})\\] \\[\\implies \\nu_{p}(a_{i}) = \\nu_{p}(a_{m} + d(i - m)) = \\nu_{p}(i - m)\\leq C.\\] \n\nso \\(\\nu_{p}(a_{m})\\) is the unique exceptional term of the sequence exceeding \\(C\\) . \n\nRemark. The bound in the claim is best possible by taking \\(a_{i} = p^{M} + (i - 1)\\) for any \\(M > C\\) . Then indeed, the sequence \\(\\nu_{p}(a_{i})\\) takes on values in \\(\\{0,1,\\ldots ,C\\}\\) for \\(i > 1\\) while \\(\\nu_{p}(a_{1}) = M\\) . \n\nBack to the original problem with \\((b_{i})\\) . Consider the common ratio \\(r \\in \\mathbb{Q}\\) of the geometric sequence \\((b_{i})\\) . If \\(p\\) is any prime with \\(\\nu_{p}(r) \\neq 0\\) , then every term of \\((b_{i})\\) has a different \\(\\nu_{p}\\) . So there are two cases to think about.\n\n\n\nSuppose any \\(p \\geq 3\\) has \\(\\nu_{p}(r) \\neq 0\\) . Then there are at most \n\n\\[2 + \\log_{p}(2023) = 2 + \\log_{3}(2023) \\approx 8.929 < 11\\] \n\noverlapping terms, as needed. \n\nOtherwise, suppose \\(r\\) is a power of 2 (in particular, \\(r \\geq 2\\) is an integer). We already have an upper bound of 12; we need to improve it to 11. \n\nAs in the proof before, we may assume WLOG by scaling down by a power of 2 that the common difference of \\(a_{i}\\) is odd. (This may cause some \\(b_{i}\\) to become rational non- integers, but that's OK. However, unless \\(\\nu_{2}(a_{i})\\) is constant, the \\(a_{i}\\) will still be integers.) \n\nThen in order for the bound of 12 to be achieved, the sequence \\(\\nu_{2}(a_{i})\\) must be contained in \\(\\{0,1,\\ldots ,10,M\\}\\) for some \\(M \\geq 11\\) . In particular, we only need to work with \\(r = 2\\) . \n\nDenote by \\(b\\) the unique odd- integer term in the geometric sequence, which must appear among \\((a_{i})\\) . Then \\(2b\\) appears too, so the common difference of \\(a_{i}\\) is at most \\(b\\) . \n\nBut if \\((a_{i})\\) is an arithmetic progression of integers that contains \\(b\\) and has common difference at most \\(b\\) , then no term of the sequence can ever exceed \\(b + 2023 \\cdot b = 2024b\\) . Hence \\(2^{M}b\\) cannot appear for any \\(M \\geq 11\\) . This completes the proof. \n\nRemark. There are several other approaches to the problem, but most take some time to execute. The primary issue is that the common difference of the \\(a_{i}\\) 's could share prime factors with the common ratio in the \\(b_{i}\\) 's, which means that merely trying to write out a lot of modular arithmetic equations leads to a lot of potential technical traps that are not pleasant to defuse. \n\nOne unusual thing is that many solutions end up proving a bound of 12 (in the case the common ratio is 2) and then having to adjust it to 11 later.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) USA TST 2024/5, proposed by Ray Li \n"}} {"year": "2024", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "USA_TST", "problem": "Solve over \\(\\mathbb{R}\\) the functional equation \n\n\\[f(x f(y)) + f(y) = f(x + y) + f(x y).\\]", "solution": "In addition to all constant functions, \\(f(x)\\equiv x + 1\\) clearly works too. We prove these are the only solutions. The solution that follows is by the original proposer. \n\nLet \\(P(x,y)\\) denote the given assertion. \n\nClaim 2.1 — If \\(f\\) is periodic, then \\(f\\) is constant. \n\nProof. Let \\(f\\) have period \\(d\\neq 0\\) . From \\(P(x,y + d)\\) , we have \n\n\\[f(x(y + d)) = f(x + y + d) - f(y + d) - f(x f(y + d)) = f(x + y) - f(y) - f(x f(y)).\\] \n\nApplying \\(P(x,y)\\) gives \n\n\\[f(x(y + d)) = f(x y).\\] \n\nIn particular, taking \\(y = 0\\) yields that \\(f(d x) = f(0)\\) . Thus \\(f\\) is constant, as \\(d\\neq 0\\) . \n\nClaim 2.2 — For all real numbers \\(x\\) and \\(y\\) , we have \\(f(f(x) + y) = f(f(y) + x)\\) . \n\nProof. Applying \\(P(f(x),y)\\) and then \\(P(y,x)\\) gives us \n\n\\[f(f(x)f(y)) = f(f(x) + y) + f(f(x)y) - f(y)\\] \\[\\qquad = f(f(x) + y) + f(x + y) + f(xy) - f(x) - f(y).\\] \n\nNow swapping \\(x\\) and \\(y\\) gives us \\(f(f(x) + y) = f(f(y) + x)\\) . \n\nClaim 2.3 — If \\(f\\) is nonconstant, then \\(f(f(x) + y) = f(x) + f(y)\\) for all reals \\(x,y\\) . \n\nProof. Let \\(x,y\\in \\mathbb{R}\\) and let \\(d:= f(f(x) + y) - f(x) - f(y)\\) . Let \\(z\\) be an arbitrary real number. By repeatedly applying Claim 2.2, we have \n\n\\[f(z + f(f(x) + y)) = f(f(z) + f(x) + y)\\] \\[\\qquad = f(f(x) + f(z) + y)\\] \\[\\qquad = f(x + f(f(z) + y))\\] \\[\\qquad = f(x + f(f(y) + z))\\] \\[\\qquad = f(f(x) + f(y) + z)\\] \\[\\qquad = f(z + f(x) + f(y)).\\] \n\nIf \\(d\\neq 0\\) , then \\(f\\) is periodic with period \\(d\\) , contradicting Claim 2.1.\n\n\n\nClaim 2.4 — If \\(f\\) is nonconstant, then \\(f(0) = 1\\) and \\(f(x + 1) = f(x) + 1\\) . \n\nProof. From \\(P(z,0)\\) we have \\(f(zf(0)) = f(z)\\) for all real \\(z\\) . Then \\(P(xf(0),y)\\) and \\(P(x,y)\\) give us \n\n\\[f(xf(0) + y) = f(y) + f(xf(0)f(y)) - f(xf(0)y)\\] \\[\\qquad = f(y) + f(xf(y)) - f(xy) = f(x + y).\\] \n\nIf \\(f(0)\\neq 1\\) , then \\(x f(0) - x\\) is a period of \\(f\\) for all \\(x\\) , violating Claim 2.1. So we must have \\(f(0) = 1\\) . \n\nNow putting \\(x = 0\\) in Claim 2.3 gives \\(f(x + 1) = f(x) + 1\\) . \n\nClaim 2.5 — If \\(f\\) is nonconstant, then \\(f(x) + f(y) = f(x + y) + 1\\) . \n\nProof. From \\(P(x + 1,y)\\) and Claim 2.4, we have \n\n\\[f((x + 1)f(y)) = f(x + y + 1) + f(xy + y) - f(y) = f(x + y) + f(xy + y) - f(y) + 1.\\] \n\nAlso, from Claim 2.3 and \\(P(x,y)\\) , we have \n\n\\[f((x + 1)f(y)) = f(xf(y)) + f(y) = f(x + y) + f(xy).\\] \n\nThus \\(f(xy) = f(xy + y) - f(y) + 1\\) . Replacing \\(x\\) with \\(\\frac{x}{y}\\) gives the claim for all \\(y\\neq 0\\) (whereas \\(y = 0\\) follows from Claim 2.4). \\(\\square\\) \n\nClaim 2.6 — If \\(f\\) is nonconstant, then \\(f(x)\\equiv x + 1\\) . \n\nProof. We apply Claim 2.3, Claim 2.5, and Claim 2.4: \n\n\\[f(f(x) + y) = f(x) + f(y) = f(x + y) + 1 = f(x + y + 1).\\] \n\nIf \\(f(x)\\neq x + 1\\) for some \\(x\\) , then Claim 2.1 again gives a contradiction. \\(\\square\\)", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2024.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) USA TST 2024/6, proposed by Milan Haiman \n"}} diff --git a/USA_TST/segmented/en-sols-TST-IMO-2025.jsonl b/USA_TST/segmented/en-sols-TST-IMO-2025.jsonl index 00f65e80cb7063c602e4450f52f4e28e6051abe4..4531a8527500ca9bc5d0bcd5fe91a60fd9755083 100644 --- a/USA_TST/segmented/en-sols-TST-IMO-2025.jsonl +++ b/USA_TST/segmented/en-sols-TST-IMO-2025.jsonl @@ -1,6 +1,6 @@ {"year": "2025", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "IMO", "problem": "Let \\(n\\) be a positive integer. Ana and Banana play a game. Banana thinks of a function \\(f\\colon \\mathbb{Z}\\to \\mathbb{Z}\\) and a prime number \\(p\\) . He tells Ana that \\(f\\) is nonconstant, \\(p< 100\\) and \\(f(x + p) = f(x)\\) for all integers \\(x\\) . Ana's goal is to determine the value of \\(p\\) . She writes down \\(n\\) integers \\(x_{1},\\ldots ,x_{n}\\) . After seeing this list, Banana writes down \\(f(x_{1}),\\ldots ,f(x_{n})\\) in order. Ana wins if she can determine the value of \\(p\\) from this information. Find the smallest value of \\(n\\) for which Ana has a winning strategy.", "solution": "The answer is \\(n = 83 + 89 - 1 = 171\\) \n\nIn general, if Ana has to decide between periods from the set \\(\\mathcal{P}:= \\{p_{1} > p_{2} > \\dots >p_{r}\\}\\) of pairwise distinct relatively prime positive integers for \\(r\\geq 3\\) , the answer is \\(p_{2} + p_{3} - 1\\) \n\n## Bound \n\nSuppose for the sake of contradiction that Ana has a winning sequence of integers \\(x_{1},\\ldots ,x_{n}\\) with \\(n\\leq p_{2} + p_{3} - 2\\) . We will generate contradictions by providing two primes \\(p,q\\in \\mathcal{P}\\) and associated nonconstant functions \\(f_{p},f_{q}:\\mathbb{Z}\\to \\mathbb{Z}\\) with periods \\(p\\) and \\(q\\) respectively such that \\(f_{p}(x_{i}) = f_{q}(x_{i})\\) for all \\(i\\) \n\nClaim — There exists a prime \\(r\\in \\mathcal{P}\\) such that for all primes \\(p\\in \\mathcal{P}\\setminus \\{r\\}\\) , the set of integers \\(\\{x_{1},\\ldots ,x_{n}\\}\\) forms a complete residue class modulo \\(p\\) (i.e. for all \\(t\\) , there exists \\(i\\) such that \\(x_{i}\\equiv t\\) (mod \\(p\\) )). \n\nClaim — Suppose for the sake of contradiction that such \\(r\\) didn't exist, and there were in fact two primes \\(p,q\\in \\mathcal{P}\\) such that \\(\\{x_{1}\\ldots ,x_{n}\\}\\) did not form a complete residue class modulo either \\(p\\) or \\(q\\) . Concretely, consider \\(t,s\\) such that there is no \\(i\\) with \\(x_{i}\\equiv t\\) (mod \\(p\\) ) and not \\(j\\) with \\(x_{j}\\equiv s\\) (mod \\(q\\) ). \n\nConstruct the functions \\(f_{p},f_{q}:\\mathbb{Z}\\to \\mathbb{Z}\\) as \n\n \n\nand \n\n \n\nWe have \\(f_{p}(x_{i}) = f_{q}(x_{i}) = 0\\) for all \\(i\\) , which is the desired contradiction. \n\nLet \\(r\\) be the prime from the above claim. Let \\(p,q\\) be the largest two primes in \\(\\mathcal{P}\\setminus \\{r\\}\\) , so \\(n\\leq p + q - 2\\) . Construct the graph \\(G_{pq}\\) with vertex set \\(\\{x_{1},\\ldots ,x_{n}\\}\\) and edge \\(x_{i}\\sim x_{j}\\) if \\(p\\mid x_{i} - x_{j}\\) or \\(q\\mid x_{i} - x_{j}\\) . The following claim allows us to construct a pair of bad functions \\(f_{p},f_{q}\\) . \n\nClaim — The graph \\(G_{pq}\\) is disconnected. \n\nProof. Let \\(G_{p}\\) be the graph on vertex set \\(\\{x_{1},\\ldots ,x_{n}\\}\\) with edge \\(x_{i}\\sim x_{j}\\) if \\(p\\mid x_{i} - x_{j}\\) . Note that \\(G_{p}\\) is a collection of \\(p\\) disjoint cliques, one for each residue class modulo \\(p\\) .\n\n\n\nPrune the graph into \\(G_{p}^{\\prime}\\) , where each clique \\(K_{r}\\) is replaced by a path of edge- length \\(r - 1\\) . Define \\(G_{q}^{\\prime}\\) similarly, and let \\(G_{p q}^{\\prime}\\) be the union of \\(G_{p}^{\\prime}\\) and \\(G_{q}^{\\prime}\\) . \n\nNote that \\(G_{p q}\\) and \\(G_{p q}^{\\prime}\\) have the exact same connectivity properties. We have \n\n\\[|E(G_{p q}^{\\prime})|\\leq |E(G_{p}^{\\prime})| + |E(G_{q}^{\\prime})| = (n - p) + (n - q)\\leq n - 2,\\] \n\nso \\(G_{p q}^{\\prime}\\) is disconnected, as desired. \n\nSuppose \\(A\\sqcup B = \\{x_{1},\\ldots ,x_{n}\\}\\) are sets of disjoint vertices in \\(G_{p q}\\) . Construct the functions \\(f_{p},f_{q}:\\mathbb{Z}\\to \\mathbb{Z}\\) as \n\n \n\nand \n\n \n\nThese are well defined due to the fact that \\(p,q\\nmid a - b\\) for \\(a\\in A\\) and \\(b\\in B\\) , and the fact that \\(A\\sqcup B\\) forms a complete residue class modulo \\(p\\) . Again, we have \\(f_{p}(x_{i}) = f_{q}(x_{i})\\) for all \\(i\\) , which is the desired contradiction. \n\n## Construction \n\nLet \\(n = p_{2} + p_{3} - 1\\) . We claim that Ana has a winning strategy with the selection \\(x_{i} = p_{1}(i - 1)\\) . Indeed, suppose that Banana writes down the values \\(y_{1},\\ldots ,y_{n}\\) in order. We will show that Ana can always reconstruct \\(p\\) . \n\nClaim — If \\(y_{1} = \\dots = y_{n}\\) , then Ana can correctly guess \\(p = p_{1}\\) . \n\nProof. Suppose for the sake of contradiction that \\(p< p_{1}\\) . Then, since \\(x_{1},\\ldots ,x_{n}\\) forms a complete residue class modulo \\(p\\) , \\(f\\) must be a constant function, which is the desired contradiction. \n\nWe can now assume that \\(y_{1},\\ldots ,y_{n}\\) are not all equal, which means \\(p\\neq p_{1}\\) . Suppose for the sake of contradiction that there are two primes \\(q,r< p_{1}\\) with associated nonconstant functions \\(f_{p},f_{q}:\\mathbb{Z}\\to \\mathbb{Z}\\) with periods \\(q\\) and \\(r\\) respectively, such that \\(f_{q}(x_{i}) = f_{r}(x_{i}) = y_{i}\\) for all \\(i\\) . \n\nThe following claim shows that \\(y_{1},\\ldots ,y_{n}\\) must all be equal, which is the desired contradiction. \n\nClaim — Let \\(G\\) be the graph on vertex set \\(\\{0,\\ldots ,q + r - 2\\}\\) with edge \\(i\\sim j\\) if \\(|i - j|\\in \\{q,r\\}\\) . The graph \\(G\\) is connected. \n\nProof. Note that \\(G\\) has \\(q + r - 2\\) edges, so it suffices to show that it has no cycles. Suppose for the sake of contradiction it had a cycle \\(c_{1},\\ldots ,c_{k}\\) with \\(k\\geq 3\\) and indices taken mod \\(k\\) . \n\nSuppose first that \\(c_{i + 1} - c_{i} = q\\) . Then, \\(c_{i + 2} - c_{i + 1}\\) cannot be \\(- q\\) (else \\(c_{i} = c_{i + 2}\\) ), it cannot be \\(r\\) (else \\(c_{i + 2} > q + r - 2\\) ), so \\(c_{i + 2} - c_{i + 1}\\in \\{q, - r\\}\\) . \n\nThe same logic shows the following collated results: \n\n\\[c_{i + 1} - c_{i} = q\\Longrightarrow c_{i + 2} - c_{i + 1}\\in \\{q, - r\\}\\]\n\n\n\n\\[c_{i + 1} - c_{i} = -q \\Rightarrow c_{i + 2} - c_{i + 1} \\in \\{-q, r\\}\\] \\[c_{i + 1} - c_{i} = r \\Rightarrow c_{i + 2} - c_{i + 1} \\in \\{-q, r\\}\\] \\[c_{i + 1} - c_{i} = -r \\Rightarrow c_{i + 2} - c_{i + 1} \\in \\{q, -r\\}.\\] \n\nThus, either all consecutive differences of vertices in the cycle are in \\(\\{q, - r\\}\\) , or all in \\(\\{- q, r\\}\\) . Assume the first case, proof is similar for second case. \n\nLet \\(a\\) be the number of consecutive differences that are \\(q\\) , and \\(b\\) be the number that are \\(- r\\) . We see that \\(a + b = k\\) and \\(qa - rb = 0\\) . The second condition implies that \\(a \\geq r\\) and \\(b \\geq q\\) , so we have \\(k \\geq q + r\\) , which is the desired contradiction since \\(G\\) has only \\(q + r - 1\\) vertices. \\(\\square\\)", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 1. ", "solution_match": "## \\(\\S 1.1\\) Solution to TST 1, by Anthony Wang \n"}} {"year": "2025", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1},a_{2},\\ldots\\) and \\(b_{1},b_{2},\\ldots\\) be sequences of real numbers for which \\(a_{1} > b_{1}\\) and \n\n\\[a_{n + 1} = a_{n}^{2} - 2b_{n\\] \\[b_{n + 1} = b_{n}^{2} - 2a_{n\\] \n\nfor all positive integers \\(n\\) . Prove that \\(a_{1},a_{2},\\ldots\\) is eventually increasing (that is, there exists a positive integer \\(N\\) for which \\(a_{k}< a_{k + 1}\\) for all \\(k > N\\) ).", "solution": "Let \\(r\\) , \\(s\\) , and \\(t\\) be the complex roots of the polynomial \\(p(\\lambda) = \\lambda^{3} - a_{1}\\lambda^{2} + b_{1}\\lambda - 1\\) . By Vieta's formulas, \n\n\\[a_{1} = r + s + t\\] \\[b_{1} = 1 / r + 1 / s + 1 / t\\] \\[1 = rst.\\] \n\nClaim — For every positive integer \\(n\\) , \n\n\\[a_{n} = r^{2^{n - 1}} + s^{2^{n - 1}} + t^{2^{n - 1}}\\] \n\nand \n\n\\[b_{n} = (1 / r)^{2^{n - 1}} + (1 / s)^{2^{n - 1}} + (1 / t)^{2^{n - 1}}.\\] \n\nProof. The base case follows from Vieta's formulas above. For the inductive step, observe that \\(rst = 1\\) , so \n\n\\[a_{n + 1} = a_{n}^{2} - 2b_{n\\] \\[\\qquad = \\left(r^{2^{n - 1}} + s^{2^{n - 1}} + t^{2^{n - 1}}\\right)^{2} - 2\\left((1 / r)^{2^{n - 1}} + (1 / s)^{2^{n - 1}} + (1 / t)^{2^{n - 1}}\\right)\\] \\[\\qquad = \\left(r^{2^{n - 1}} + s^{2^{n - 1}} + t^{2^{n - 1}}\\right)^{2} - 2\\left((st)^{2^{n - 1}} + (tr)^{2^{n - 1}} + (rs)^{2^{n - 1}}\\right)\\] \\[\\qquad = r^{2^{n}} + s^{2^{n}} + t^{2^{n}}\\] \n\nand similarly for \\(b_{n + 1}\\) . \n\nSince \\(p(1) = b_{1} - a_{1}< 0\\) , \\(p\\) has a real root greater than 1; let \\(r\\) be the largest such root. \n\n- If \\(s\\) and \\(t\\) are real, let \\(m = \\max (|r|,|s|,|t|) > 1\\) be the largest magnitude of the roots and \\(k\\in \\{1,2,3\\}\\) be the number of roots with that magnitude. Then asymptotically \n\n\\[a_{n} = r^{2^{n - 1}} + s^{2^{n - 1}} + t^{2^{n - 1}}\\approx k m^{2^{n - 1}}\\] \n\nwhich implies that \\(\\{a_{n}\\}\\) is eventually increasing. \n\n- If \\(s\\) and \\(t\\) are not real, they must be complex conjugates of each other, each with magnitude \\(\\frac{1}{\\sqrt{r}} < 1\\) . Therefore \n\n\\[r^{2^{n - 1}} - 2< a_{n}< r^{2^{n - 1}} + 2,\\] \n\nso \\(\\{a_{n}\\}\\) is eventually increasing.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 2. ", "solution_match": "## \\(\\S 1.2\\) Solution to TST 2, by Holden Mui \n"}} -{"year": "2025", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(A_{1}A_{2}\\dots A_{2025}\\) be a convex 2025- gon, and let \\(A_{i} = A_{i + 2025}\\) for all integers \\(i\\) . Distinct points \\(P\\) and \\(Q\\) lie in its interior such that \\(\\angle A_{i - 1}A_{i}P = \\angle QA_{i}A_{i + 1}\\) for all \\(i\\) . Define points \\(P_{i}^{j}\\) and \\(Q_{i}^{j}\\) for integers \\(i\\) and positive integers \\(j\\) as follows: \n\nFor all \\(i\\) \\(P_{i}^{1} = Q_{i}^{1} = A_{i}\\) For all \\(i\\) and \\(j\\) \\(P_{i}^{j + 1}\\) and \\(Q_{i}^{j + 1}\\) are the circumcenters of \\(P P_{i}^{j}P_{i + 1}^{j}\\) and \\(Q Q_{i}^{j}Q_{i + 1}^{j}\\) respectively. \n\nLet \\(\\mathcal{P}\\) and \\(\\mathcal{Q}\\) be the polygons \\(P_{1}^{2025}P_{2}^{2025}\\ldots P_{2025}^{2025}\\) and \\(Q_{1}^{2025}Q_{2}^{2025}\\ldots Q_{2025}^{2025}\\) , respectively. \n\n(a) Prove that \\(\\mathcal{P}\\) and \\(\\mathcal{Q}\\) are cyclic. \n\n(b) Let \\(O_{P}\\) and \\(O_{Q}\\) be the circumcenters of \\(\\mathcal{P}\\) and \\(\\mathcal{Q}\\) , respectively. Assuming that \\(O_{P}\\neq O_{Q}\\) , show that \\(O_{P}O_{Q}\\) is parallel to \\(P Q\\) .", "solution": "Let \\(n = 2025\\) . Let \\(\\mathcal{P}_{i}\\) and \\(\\mathcal{Q}_{i}\\) denote the polygons \\(P_{1}^{i}\\cdot \\cdot \\cdot P_{n}^{i}\\) and \\(Q_{1}^{i}\\cdot \\cdot \\cdot Q_{n}^{i}\\) . In this notation, \\(\\mathcal{P} = \\mathcal{P}_{n}\\) , \\(\\mathcal{Q} = \\mathcal{Q}_{n}\\) , and \\(\\mathcal{P}_{1} = \\mathcal{Q}_{1} = A_{1}\\cdot \\cdot \\cdot A_{n}\\) . \n\nThe angle condition for \\(P\\) and \\(Q\\) just says that they are isogonal conjugates in \\(\\mathcal{P}_{1}\\) . We will first find some properties that do not depend on \\(P\\) having an isogonal conjugate. \n\nNote that \\(P_{i - 1}^{j + 1}P_{i}^{j + 1}\\) is the perpendicular bisector of \\(P P_{i + 1}^{j}\\) , so we can go backwards from \\(\\mathcal{P}_{j}\\) to \\(\\mathcal{P}_{j - 1}\\) by reflecting over the sides. Use this to extend the points backwards to \\(\\mathcal{P}_{0}\\) , i.e. define \\(P_{i}^{0}\\) to be the reflection of \\(P\\) over \\(P_{i - 1}^{1}P_{i}^{1}\\) . \n\n## Lemma 1.1 \n\nFor integers \\(j \\geq 0\\) and \\(i\\) , \n\n\\[\\angle P P_{i}^{j}P_{i + 1}^{j} = \\angle P P_{i}^{j + 1}P_{i + 1}^{j + 1}\\quad \\mathrm{and}\\] \\[\\angle P P_{i + 1}^{j}P_{i}^{j} = \\angle P P_{i}^{j + 1}P_{i - 1}^{j + 1}.\\] \n\nProof. This is a standard circumcenter fact in disguise but we will prove it here for completeness. If \\(X\\) is the antipode of \\(P\\) on \\((P P_{i}^{j}P_{i + 1}^{j})\\) (equivalently, the reflection of \\(P\\) over \\(P P_{i}^{j + 1}\\) ) and \\(M\\) is the midpoint of \\(P P_{i + 1}^{j}\\) then \n\n\\[\\angle P P_{i}^{j}P_{i + 1}^{j} = \\angle P X P_{i + 1}^{j} = \\angle P P_{i}^{j + 1}M = \\angle P P_{i}^{j + 1}P_{i + 1}^{j + 1}.\\] \n\nThe second equality is analogous.\n\n\n![](data:image/jpeg;base64,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)\n \n\n## Lemma \n\nThe following similarity holds: \\(\\mathcal{P}_{n} \\cup P \\stackrel{\\perp}{\\sim} \\mathcal{P}_{0} \\cup P\\) . \n\nProof. By Lemma 1.1, \n\n\\[\\begin{aligned} \\angle P P_{i}^{0} P_{i + 1}^{0} & = \\angle P P_{i}^{1} P_{i + 1}^{1} = \\dots = \\angle P_{i}^{n} P_{i + 1}^{n} \\quad \\text{and} \\\\ \\angle P P_{i + 1}^{0} P_{i}^{0} & = \\angle P P_{i}^{1} P_{i - 1}^{1} = \\dots = \\angle P_{i - n + 1}^{n} P_{i - n}^{n} = \\angle P_{i + 1}^{n} P_{i}^{n}. \\end{aligned}\\] \n\nTherefore \\(P P_{i}^{n} P_{i + 1}^{n} \\stackrel{\\perp}{\\sim} P P_{i}^{0} P_{i + 1}^{0}\\) . Combining these similarities for all \\(i\\) shows that \\(\\mathcal{P}_{n} \\cup P \\stackrel{\\perp}{\\sim} \\mathcal{P}_{0} \\cup P\\) . \\(\\square\\) \n\nTo solve part (a), we just need to show that \\(\\mathcal{P}_{0}\\) and \\(\\mathcal{Q}_{0}\\) are cyclic. This is where we need the isogonal conjugate property, and we can generalize from analogous facts for the \\(n = 3\\) case. \n\n![](data:image/jpeg;base64,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)\n\n\n\n\nWe have \n\n\\[\\angle P P_{i + 1}^{0}P_{i}^{0} = \\angle P A_{i}A_{i - 1} = \\angle A_{i + 1}A_{i}Q\\] \n\nso \n\n\\[90^{\\circ} = \\angle (P P_{i + 1}^{0},A_{i}A_{i + 1}) = \\angle (P_{i + 1}^{0}P_{i}^{0},A Q).\\] \n\nSince \\(A_{i}P_{i}^{0} = A_{i}P_{i + 1}^{0}\\) , it follows that \\(A_{i}Q\\) is the perpendicular bisector of \\(P_{i}^{0}P_{i + 1}^{0}\\) and \\(Q P_{i}^{0} = Q P_{i + 1}^{0}\\) . By applying this equality for all \\(i\\) , it follows that \\(\\mathcal{P}_{0}\\) is cyclic with circumcenter \\(Q\\) . This completes the solution for part (a). \n\nFor part (b), we will analyze the angle of rotation and scale factor for the similarity \\(\\mathcal{P}_{n}\\cup P\\stackrel {\\star}{\\sim}\\mathcal{P}_{0}\\cup P\\) . Assume without loss of generality that \\(A_{1}A_{2}\\dots A_{n}\\) is labeled in clockwise order as in the earlier diagrams. \n\nClaim — The spiral similarity at \\(P\\) sending \\(\\mathcal{P}_{0}\\cup Q\\) to \\(\\mathcal{P}_{n}\\cup O_{P}\\) is the composition of a clockwise rotation by \\(\\theta_{P}\\) and a dilation with factor \\(r_{P}\\) , where \n\n\\[\\theta_{P} = \\frac{n\\pi}{2} -\\sum_{i = 1}^{n}\\angle P A_{i}A_{i - 1}\\quad \\mathrm{and}\\quad r_{P} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P A_{i}A_{i - 1}}.\\] \n\nAnalogously, the spiral similarity at \\(Q\\) sending \\(\\mathcal{Q}_{0}\\cup P\\) to \\(\\mathcal{Q}_{n}\\cup O_{Q}\\) is the composition of a clockwise rotation by \\(\\theta_{Q}\\) and a dilation with factor \\(r_{Q}\\) , where \n\n\\[\\theta_{Q} = \\frac{n\\pi}{2} -\\sum_{i = 1}^{n}\\angle Q A_{i}A_{i - 1}\\quad \\mathrm{and}\\quad r_{Q} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle Q A_{i}A_{i + 1}}.\\] \n\nProof. Note that \n\n\\[\\angle P P_{0}^{i}P P_{0}^{i + 1} = \\frac{\\pi}{2} -\\angle P P_{1}^{i}P_{0}^{i} = \\frac{\\pi}{2} -\\angle P P_{1}^{i}P_{i - 1}^{1} = \\frac{\\pi}{2} -\\angle P A_{i}A_{i - 1}\\] \n\nby circumcenter properties and Lemma 1.1. Summing over \\(0\\leq i< n\\) yields the claimed formula for \\(\\theta_{P}\\) , since the left hand side adds up to the rotation angle from \\(P P_{0}^{0}\\) to \\(P P_{0}^{n}\\) . \n\nBy the law of sines, \n\n\\[\\prod_{i = 1}^{n}\\frac{P P_{i}^{j + 1}}{P_{i}^{j}} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P P_{i + 1}^{j}P_{i}^{j}} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P A_{i}A_{i - 1}}\\] \n\nwhere in the last equality we use Lemma 1.1 again. Multiply over \\(0\\leq j< n\\) and raise to the power \\(\\frac{1}{n}\\) to obtain \n\n\\[\\left(\\prod_{i = 1}^{n}\\frac{P P_{i}^{n}}{P_{i}^{0}}\\right)^{\\frac{1}{n}} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P A_{i}A_{i - 1}}.\\] \n\nThis proves the formula for \\(r_{P}\\) because the left hand side gives the scale factor. The argument for \\(Q\\) is similar. Note that we reversed the angle in the formula for \\(r_{Q}\\) but not \\(\\theta_{Q}\\) because \\(\\theta_{Q}\\) depends on orientation. \n\nBy the given angle conditions on \\(P\\) and \\(Q\\) we have \\(r_{P} = r_{Q}\\) . Meanwhile, \n\n\\[\\theta_{P} + \\theta_{Q} = n\\pi -\\sum_{i = 1}^{n}(\\angle P A_{i}A_{i - 1} + \\angle Q A_{i}A_{i - 1}) = n\\pi -\\sum_{i = 1}^{n}\\angle A_{i - 1}A_{i}A_{i + 1} = 2\\pi .\\] \n\nThis means that clockwise rotation by \\(\\theta_{Q}\\) is just counterclockwise rotation by \\(\\theta_{P}\\) . The combination of these two implies that \\(P Q O_{Q}O_{P}\\) is an isosceles trapezoid with \\(O_{P}O_{Q}\\) parallel to \\(P Q\\) , which proves part (b).", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 3. ", "solution_match": "## \\(\\S 1.3\\) Solution to TST 3, by Ruben Carpenter \n"}} -{"year": "2025", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(ABC\\) be a triangle, and let \\(X\\) , \\(Y\\) , and \\(Z\\) be collinear points such that \\(AY = AZ\\) , \\(BZ = BX\\) , and \\(CX = CY\\) . Points \\(X'\\) , \\(Y'\\) , and \\(Z'\\) are the reflections of \\(X\\) , \\(Y\\) , and \\(Z\\) over \\(BC\\) , \\(CA\\) , and \\(AB\\) , respectively. Prove that if \\(XY'Z'\\) is a nondegenerate triangle, then its circumcenter lies on the circumcircle of \\(ABC\\) .", "solution": "## \\(\\P\\) Solution 1 (Pitchayut Saengrungkonga) \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(S\\) denote the circumcenter of \\(\\triangle X^{\\prime}Y^{\\prime}Z^{\\prime}\\) . Observe that \\(A Y = A Z = A Y^{\\prime} = A Z^{\\prime}\\) , so \\(Y Z Y^{\\prime}Z^{\\prime}\\) is cyclic and \\(A S\\perp Y^{\\prime}Z^{\\prime}\\) . Similarly, \\(B S\\perp Z^{\\prime}X^{\\prime}\\) and \\(C S\\perp X^{\\prime}Y^{\\prime}\\) . \n\nThe rest is angle chasing. Let \\(\\angle \\ell\\) denote the angle between line \\(\\ell\\) and a fixed line. Then, we have \n\n\\[\\angle A S = 90^{\\circ} + \\angle Y^{\\prime}Z^{\\prime} = 90^{\\circ} + \\angle Y Y^{\\prime} + \\angle Z Z^{\\prime} - \\angle Y Z\\] \\[\\qquad = 90^{\\circ} + \\angle C A + \\angle A B - \\angle Y Z.\\] \n\nAnalogously, we get \n\n\\[\\angle B S = 90^{\\circ} + \\angle A B + \\angle B C - \\angle X Z,\\] \n\nso subtracting these gives \\(\\angle A S B = \\angle A C B\\) , as desired. \n\nRemark. There are some other angle chasing solutions that use the fact that \\(X X^{\\prime}\\) , \\(Y Y^{\\prime}\\) , and \\(Z Z^{\\prime}\\) meet at a point on \\((X^{\\prime}Y^{\\prime}Z^{\\prime})\\) . This one is featured as it does not require any additional points.\n\n\n\n\\(\\P\\) Solution 2 (author) Let \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) be the anticomplimentary triangle of \\(A B C\\) . Note that \\(X\\) , \\(Y\\) , and \\(Z\\) are the projections of \\(A^{\\prime}\\) , \\(B^{\\prime}\\) , and \\(C^{\\prime}\\) onto line \\(X Y Z\\) . Let \\(A_{0}\\) , \\(B_{0}\\) , and \\(C_{0}\\) be the reflections of \\(A^{\\prime}\\) , \\(B^{\\prime}\\) , and \\(C^{\\prime}\\) over \\(B C\\) , \\(C A\\) , and \\(A B\\) , respectively. If we take \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) as our reference triangle, we see that \\(A_{0}B_{0}C_{0}\\) is the orthic triangle so \\((A B C A_{0}B_{0}C_{0})\\) is the nine- point circle of \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) . \n\nLet \\(A_{0}X^{\\prime}\\) meet \\((A B C)\\) again at \\(P\\) . Then \n\n\\[{\\angle B B_{0}P=\\angle A A_{0}P+\\angle B C A}\\] \\[{\\quad=\\angle A A_{0}X+\\angle B C A}\\] \\[{\\quad=\\angle(A^{\\prime}X,B C)+\\angle B C A}\\] \\[{\\quad=\\angle(B^{\\prime}Y,C A)}\\] \\[{\\quad=\\angle B B_{0}Y^{\\prime}.}\\] \n\nTherefore \\(P\\) lies on \\(B_{0}Y^{\\prime}\\) , and likewise \\(C_{0}Z^{\\prime}\\) by symmetry. \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(X_{0}\\) , \\(Y_{0}\\) , and \\(Z_{0}\\) be the reflections of \\(P\\) across \\(B C\\) , \\(C A\\) , and \\(A B\\) respectively. By reflection, \\(X_{0}\\) lies on \\(A^{\\prime}X\\) and \\(P X^{\\prime} = X_{0}X\\) . We also know that if \\(H\\) is the orthocenter of \\(A B C\\) , then \\(X_{0}Y_{0}Z_{0}H\\) is the Steiner line of \\(P\\) . Let \\(D\\) be the reflection of \\(H\\) across \\(B C\\) , which is also the antipode of \\(A_{0}\\) on \\((A B C)\\) . Then \\(\\angle A^{\\prime}X_{0}H = \\angle A_{0}P D = 90^{\\circ}\\) , so \\(X_{0}Y_{0}Z_{0}H\\) is perpendicular to \\(A^{\\prime}X_{0}X\\) and parallel to \\(X Y Z\\) . \n\nThis means that \\(X X_{0} = Y Y_{0} = Z Z_{0}\\) . Combined with \\(P X^{\\prime} = X X_{0}\\) and analogous statements, we have \\(P X^{\\prime} = P Y^{\\prime} = P Z^{\\prime}\\) so \\(P\\) is the circumcenter of \\(X^{\\prime}Y^{\\prime}Z^{\\prime}\\) . This solves the problem. \n\nRemark. If the condition that \\(X\\) , \\(Y\\) , and \\(Z\\) are collinear is removed, then in general the circumcenters of \\(X Y Z\\) and \\(X^{\\prime}Y^{\\prime}Z^{\\prime}\\) are isogonal conjugates with respect to \\(A B C\\) .", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 4. ", "solution_match": "## \\(\\S 2.1\\) Solution to TST 4, by Michael Ren \n"}} +{"year": "2025", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(A_{1}A_{2}\\dots A_{2025}\\) be a convex 2025- gon, and let \\(A_{i} = A_{i + 2025}\\) for all integers \\(i\\) . Distinct points \\(P\\) and \\(Q\\) lie in its interior such that \\(\\angle A_{i - 1}A_{i}P = \\angle QA_{i}A_{i + 1}\\) for all \\(i\\) . Define points \\(P_{i}^{j}\\) and \\(Q_{i}^{j}\\) for integers \\(i\\) and positive integers \\(j\\) as follows: \n\nFor all \\(i\\) \\(P_{i}^{1} = Q_{i}^{1} = A_{i}\\) For all \\(i\\) and \\(j\\) \\(P_{i}^{j + 1}\\) and \\(Q_{i}^{j + 1}\\) are the circumcenters of \\(P P_{i}^{j}P_{i + 1}^{j}\\) and \\(Q Q_{i}^{j}Q_{i + 1}^{j}\\) respectively. \n\nLet \\(\\mathcal{P}\\) and \\(\\mathcal{Q}\\) be the polygons \\(P_{1}^{2025}P_{2}^{2025}\\ldots P_{2025}^{2025}\\) and \\(Q_{1}^{2025}Q_{2}^{2025}\\ldots Q_{2025}^{2025}\\) , respectively. \n\n(a) Prove that \\(\\mathcal{P}\\) and \\(\\mathcal{Q}\\) are cyclic. \n\n(b) Let \\(O_{P}\\) and \\(O_{Q}\\) be the circumcenters of \\(\\mathcal{P}\\) and \\(\\mathcal{Q}\\) , respectively. Assuming that \\(O_{P}\\neq O_{Q}\\) , show that \\(O_{P}O_{Q}\\) is parallel to \\(P Q\\) .", "solution": "Let \\(n = 2025\\) . Let \\(\\mathcal{P}_{i}\\) and \\(\\mathcal{Q}_{i}\\) denote the polygons \\(P_{1}^{i}\\cdot \\cdot \\cdot P_{n}^{i}\\) and \\(Q_{1}^{i}\\cdot \\cdot \\cdot Q_{n}^{i}\\) . In this notation, \\(\\mathcal{P} = \\mathcal{P}_{n}\\) , \\(\\mathcal{Q} = \\mathcal{Q}_{n}\\) , and \\(\\mathcal{P}_{1} = \\mathcal{Q}_{1} = A_{1}\\cdot \\cdot \\cdot A_{n}\\) . \n\nThe angle condition for \\(P\\) and \\(Q\\) just says that they are isogonal conjugates in \\(\\mathcal{P}_{1}\\) . We will first find some properties that do not depend on \\(P\\) having an isogonal conjugate. \n\nNote that \\(P_{i - 1}^{j + 1}P_{i}^{j + 1}\\) is the perpendicular bisector of \\(P P_{i + 1}^{j}\\) , so we can go backwards from \\(\\mathcal{P}_{j}\\) to \\(\\mathcal{P}_{j - 1}\\) by reflecting over the sides. Use this to extend the points backwards to \\(\\mathcal{P}_{0}\\) , i.e. define \\(P_{i}^{0}\\) to be the reflection of \\(P\\) over \\(P_{i - 1}^{1}P_{i}^{1}\\) . \n\n## Lemma 1.1 \n\nFor integers \\(j \\geq 0\\) and \\(i\\) , \n\n\\[\\angle P P_{i}^{j}P_{i + 1}^{j} = \\angle P P_{i}^{j + 1}P_{i + 1}^{j + 1}\\quad \\mathrm{and}\\] \\[\\angle P P_{i + 1}^{j}P_{i}^{j} = \\angle P P_{i}^{j + 1}P_{i - 1}^{j + 1}.\\] \n\nProof. This is a standard circumcenter fact in disguise but we will prove it here for completeness. If \\(X\\) is the antipode of \\(P\\) on \\((P P_{i}^{j}P_{i + 1}^{j})\\) (equivalently, the reflection of \\(P\\) over \\(P P_{i}^{j + 1}\\) ) and \\(M\\) is the midpoint of \\(P P_{i + 1}^{j}\\) then \n\n\\[\\angle P P_{i}^{j}P_{i + 1}^{j} = \\angle P X P_{i + 1}^{j} = \\angle P P_{i}^{j + 1}M = \\angle P P_{i}^{j + 1}P_{i + 1}^{j + 1}.\\] \n\nThe second equality is analogous.\n\n\n![md5:e59f80e0a9e06aec935412d11bfd59e6](e59f80e0a9e06aec935412d11bfd59e6.jpeg)\n \n\n## Lemma \n\nThe following similarity holds: \\(\\mathcal{P}_{n} \\cup P \\stackrel{\\perp}{\\sim} \\mathcal{P}_{0} \\cup P\\) . \n\nProof. By Lemma 1.1, \n\n\\[\\begin{aligned} \\angle P P_{i}^{0} P_{i + 1}^{0} & = \\angle P P_{i}^{1} P_{i + 1}^{1} = \\dots = \\angle P_{i}^{n} P_{i + 1}^{n} \\quad \\text{and} \\\\ \\angle P P_{i + 1}^{0} P_{i}^{0} & = \\angle P P_{i}^{1} P_{i - 1}^{1} = \\dots = \\angle P_{i - n + 1}^{n} P_{i - n}^{n} = \\angle P_{i + 1}^{n} P_{i}^{n}. \\end{aligned}\\] \n\nTherefore \\(P P_{i}^{n} P_{i + 1}^{n} \\stackrel{\\perp}{\\sim} P P_{i}^{0} P_{i + 1}^{0}\\) . Combining these similarities for all \\(i\\) shows that \\(\\mathcal{P}_{n} \\cup P \\stackrel{\\perp}{\\sim} \\mathcal{P}_{0} \\cup P\\) . \\(\\square\\) \n\nTo solve part (a), we just need to show that \\(\\mathcal{P}_{0}\\) and \\(\\mathcal{Q}_{0}\\) are cyclic. This is where we need the isogonal conjugate property, and we can generalize from analogous facts for the \\(n = 3\\) case. \n\n![md5:a1c91855e19d7139b669d241add4d40c](a1c91855e19d7139b669d241add4d40c.jpeg)\n\n\n\n\nWe have \n\n\\[\\angle P P_{i + 1}^{0}P_{i}^{0} = \\angle P A_{i}A_{i - 1} = \\angle A_{i + 1}A_{i}Q\\] \n\nso \n\n\\[90^{\\circ} = \\angle (P P_{i + 1}^{0},A_{i}A_{i + 1}) = \\angle (P_{i + 1}^{0}P_{i}^{0},A Q).\\] \n\nSince \\(A_{i}P_{i}^{0} = A_{i}P_{i + 1}^{0}\\) , it follows that \\(A_{i}Q\\) is the perpendicular bisector of \\(P_{i}^{0}P_{i + 1}^{0}\\) and \\(Q P_{i}^{0} = Q P_{i + 1}^{0}\\) . By applying this equality for all \\(i\\) , it follows that \\(\\mathcal{P}_{0}\\) is cyclic with circumcenter \\(Q\\) . This completes the solution for part (a). \n\nFor part (b), we will analyze the angle of rotation and scale factor for the similarity \\(\\mathcal{P}_{n}\\cup P\\stackrel {\\star}{\\sim}\\mathcal{P}_{0}\\cup P\\) . Assume without loss of generality that \\(A_{1}A_{2}\\dots A_{n}\\) is labeled in clockwise order as in the earlier diagrams. \n\nClaim — The spiral similarity at \\(P\\) sending \\(\\mathcal{P}_{0}\\cup Q\\) to \\(\\mathcal{P}_{n}\\cup O_{P}\\) is the composition of a clockwise rotation by \\(\\theta_{P}\\) and a dilation with factor \\(r_{P}\\) , where \n\n\\[\\theta_{P} = \\frac{n\\pi}{2} -\\sum_{i = 1}^{n}\\angle P A_{i}A_{i - 1}\\quad \\mathrm{and}\\quad r_{P} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P A_{i}A_{i - 1}}.\\] \n\nAnalogously, the spiral similarity at \\(Q\\) sending \\(\\mathcal{Q}_{0}\\cup P\\) to \\(\\mathcal{Q}_{n}\\cup O_{Q}\\) is the composition of a clockwise rotation by \\(\\theta_{Q}\\) and a dilation with factor \\(r_{Q}\\) , where \n\n\\[\\theta_{Q} = \\frac{n\\pi}{2} -\\sum_{i = 1}^{n}\\angle Q A_{i}A_{i - 1}\\quad \\mathrm{and}\\quad r_{Q} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle Q A_{i}A_{i + 1}}.\\] \n\nProof. Note that \n\n\\[\\angle P P_{0}^{i}P P_{0}^{i + 1} = \\frac{\\pi}{2} -\\angle P P_{1}^{i}P_{0}^{i} = \\frac{\\pi}{2} -\\angle P P_{1}^{i}P_{i - 1}^{1} = \\frac{\\pi}{2} -\\angle P A_{i}A_{i - 1}\\] \n\nby circumcenter properties and Lemma 1.1. Summing over \\(0\\leq i< n\\) yields the claimed formula for \\(\\theta_{P}\\) , since the left hand side adds up to the rotation angle from \\(P P_{0}^{0}\\) to \\(P P_{0}^{n}\\) . \n\nBy the law of sines, \n\n\\[\\prod_{i = 1}^{n}\\frac{P P_{i}^{j + 1}}{P_{i}^{j}} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P P_{i + 1}^{j}P_{i}^{j}} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P A_{i}A_{i - 1}}\\] \n\nwhere in the last equality we use Lemma 1.1 again. Multiply over \\(0\\leq j< n\\) and raise to the power \\(\\frac{1}{n}\\) to obtain \n\n\\[\\left(\\prod_{i = 1}^{n}\\frac{P P_{i}^{n}}{P_{i}^{0}}\\right)^{\\frac{1}{n}} = \\prod_{i = 1}^{n}\\frac{1}{2\\sin\\angle P A_{i}A_{i - 1}}.\\] \n\nThis proves the formula for \\(r_{P}\\) because the left hand side gives the scale factor. The argument for \\(Q\\) is similar. Note that we reversed the angle in the formula for \\(r_{Q}\\) but not \\(\\theta_{Q}\\) because \\(\\theta_{Q}\\) depends on orientation. \n\nBy the given angle conditions on \\(P\\) and \\(Q\\) we have \\(r_{P} = r_{Q}\\) . Meanwhile, \n\n\\[\\theta_{P} + \\theta_{Q} = n\\pi -\\sum_{i = 1}^{n}(\\angle P A_{i}A_{i - 1} + \\angle Q A_{i}A_{i - 1}) = n\\pi -\\sum_{i = 1}^{n}\\angle A_{i - 1}A_{i}A_{i + 1} = 2\\pi .\\] \n\nThis means that clockwise rotation by \\(\\theta_{Q}\\) is just counterclockwise rotation by \\(\\theta_{P}\\) . The combination of these two implies that \\(P Q O_{Q}O_{P}\\) is an isosceles trapezoid with \\(O_{P}O_{Q}\\) parallel to \\(P Q\\) , which proves part (b).", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 3. ", "solution_match": "## \\(\\S 1.3\\) Solution to TST 3, by Ruben Carpenter \n"}} +{"year": "2025", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(ABC\\) be a triangle, and let \\(X\\) , \\(Y\\) , and \\(Z\\) be collinear points such that \\(AY = AZ\\) , \\(BZ = BX\\) , and \\(CX = CY\\) . Points \\(X'\\) , \\(Y'\\) , and \\(Z'\\) are the reflections of \\(X\\) , \\(Y\\) , and \\(Z\\) over \\(BC\\) , \\(CA\\) , and \\(AB\\) , respectively. Prove that if \\(XY'Z'\\) is a nondegenerate triangle, then its circumcenter lies on the circumcircle of \\(ABC\\) .", "solution": "## \\(\\P\\) Solution 1 (Pitchayut Saengrungkonga) \n\n![md5:72862444c18803eda178621726170c6f](72862444c18803eda178621726170c6f.jpeg)\n \n\nLet \\(S\\) denote the circumcenter of \\(\\triangle X^{\\prime}Y^{\\prime}Z^{\\prime}\\) . Observe that \\(A Y = A Z = A Y^{\\prime} = A Z^{\\prime}\\) , so \\(Y Z Y^{\\prime}Z^{\\prime}\\) is cyclic and \\(A S\\perp Y^{\\prime}Z^{\\prime}\\) . Similarly, \\(B S\\perp Z^{\\prime}X^{\\prime}\\) and \\(C S\\perp X^{\\prime}Y^{\\prime}\\) . \n\nThe rest is angle chasing. Let \\(\\angle \\ell\\) denote the angle between line \\(\\ell\\) and a fixed line. Then, we have \n\n\\[\\angle A S = 90^{\\circ} + \\angle Y^{\\prime}Z^{\\prime} = 90^{\\circ} + \\angle Y Y^{\\prime} + \\angle Z Z^{\\prime} - \\angle Y Z\\] \\[\\qquad = 90^{\\circ} + \\angle C A + \\angle A B - \\angle Y Z.\\] \n\nAnalogously, we get \n\n\\[\\angle B S = 90^{\\circ} + \\angle A B + \\angle B C - \\angle X Z,\\] \n\nso subtracting these gives \\(\\angle A S B = \\angle A C B\\) , as desired. \n\nRemark. There are some other angle chasing solutions that use the fact that \\(X X^{\\prime}\\) , \\(Y Y^{\\prime}\\) , and \\(Z Z^{\\prime}\\) meet at a point on \\((X^{\\prime}Y^{\\prime}Z^{\\prime})\\) . This one is featured as it does not require any additional points.\n\n\n\n\\(\\P\\) Solution 2 (author) Let \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) be the anticomplimentary triangle of \\(A B C\\) . Note that \\(X\\) , \\(Y\\) , and \\(Z\\) are the projections of \\(A^{\\prime}\\) , \\(B^{\\prime}\\) , and \\(C^{\\prime}\\) onto line \\(X Y Z\\) . Let \\(A_{0}\\) , \\(B_{0}\\) , and \\(C_{0}\\) be the reflections of \\(A^{\\prime}\\) , \\(B^{\\prime}\\) , and \\(C^{\\prime}\\) over \\(B C\\) , \\(C A\\) , and \\(A B\\) , respectively. If we take \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) as our reference triangle, we see that \\(A_{0}B_{0}C_{0}\\) is the orthic triangle so \\((A B C A_{0}B_{0}C_{0})\\) is the nine- point circle of \\(A^{\\prime}B^{\\prime}C^{\\prime}\\) . \n\nLet \\(A_{0}X^{\\prime}\\) meet \\((A B C)\\) again at \\(P\\) . Then \n\n\\[{\\angle B B_{0}P=\\angle A A_{0}P+\\angle B C A}\\] \\[{\\quad=\\angle A A_{0}X+\\angle B C A}\\] \\[{\\quad=\\angle(A^{\\prime}X,B C)+\\angle B C A}\\] \\[{\\quad=\\angle(B^{\\prime}Y,C A)}\\] \\[{\\quad=\\angle B B_{0}Y^{\\prime}.}\\] \n\nTherefore \\(P\\) lies on \\(B_{0}Y^{\\prime}\\) , and likewise \\(C_{0}Z^{\\prime}\\) by symmetry. \n\n![md5:64e628e33fa16017ecddb0cfc41714ac](64e628e33fa16017ecddb0cfc41714ac.jpeg)\n \n\nLet \\(X_{0}\\) , \\(Y_{0}\\) , and \\(Z_{0}\\) be the reflections of \\(P\\) across \\(B C\\) , \\(C A\\) , and \\(A B\\) respectively. By reflection, \\(X_{0}\\) lies on \\(A^{\\prime}X\\) and \\(P X^{\\prime} = X_{0}X\\) . We also know that if \\(H\\) is the orthocenter of \\(A B C\\) , then \\(X_{0}Y_{0}Z_{0}H\\) is the Steiner line of \\(P\\) . Let \\(D\\) be the reflection of \\(H\\) across \\(B C\\) , which is also the antipode of \\(A_{0}\\) on \\((A B C)\\) . Then \\(\\angle A^{\\prime}X_{0}H = \\angle A_{0}P D = 90^{\\circ}\\) , so \\(X_{0}Y_{0}Z_{0}H\\) is perpendicular to \\(A^{\\prime}X_{0}X\\) and parallel to \\(X Y Z\\) . \n\nThis means that \\(X X_{0} = Y Y_{0} = Z Z_{0}\\) . Combined with \\(P X^{\\prime} = X X_{0}\\) and analogous statements, we have \\(P X^{\\prime} = P Y^{\\prime} = P Z^{\\prime}\\) so \\(P\\) is the circumcenter of \\(X^{\\prime}Y^{\\prime}Z^{\\prime}\\) . This solves the problem. \n\nRemark. If the condition that \\(X\\) , \\(Y\\) , and \\(Z\\) are collinear is removed, then in general the circumcenters of \\(X Y Z\\) and \\(X^{\\prime}Y^{\\prime}Z^{\\prime}\\) are isogonal conjugates with respect to \\(A B C\\) .", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 4. ", "solution_match": "## \\(\\S 2.1\\) Solution to TST 4, by Michael Ren \n"}} {"year": "2025", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "A pond has 2025 lily pads arranged in a circle. Two frogs, Alice and Bob, begin on different lily pads. A frog jump is a jump which travels 2, 3, or 5 positions clockwise. Alice and Bob each make a series of frog jumps, and each frog ends on the same lily pad that it started from. Given that each lily pad is the destination of exactly one jump, prove that each frog completes exactly two laps around the pond (i.e. travels 4050 positions in total).", "solution": "Let \\(\\pi :\\mathbb{Z} / 2025\\mathbb{Z}\\to \\mathbb{Z} / 2025\\mathbb{Z}\\) be the permutation where the jump with source \\(i\\) has destination \\(\\pi (i)\\) . We know that \\(\\pi\\) has exactly two cycles, corresponding to the paths of each frog. \n\nSuppose that the frogs complete a total of \\(\\ell\\) laps around the circle, so the sum of the lengths of all the jumps made is \\(2025\\ell\\) . Thus the average jump moves \\(\\ell\\) positions, so \\(\\ell \\in \\{2,3,4,5\\}\\) . We now split into cases. \n\n\\(\\P\\) Case 1: \\(\\ell \\in \\{2,5\\}\\) If \\(\\ell = 2\\) , then every jump travels 2 positions, so \\(\\pi (i) = i + 2\\) for all \\(i\\) . This permutation has exactly one cycle, contradiction. If \\(\\ell = 5\\) , then every jump travels 5 positions, so \\(\\pi (i) = i + 5\\) for all \\(i\\) . This permutation has exactly five cycles, contradiction. \n\n\\(\\P\\) Case 2: \\(\\ell = 3\\) The key idea is to consider the cycle decomposition of the auxiliary permutation \\(\\pi^{\\prime}:\\mathbb{Z} / 2025\\mathbb{Z}\\to \\mathbb{Z} / 2025\\mathbb{Z}\\) by \\(\\pi^{\\prime}(i) = \\pi (i) - 3\\) . The average jump in \\(\\pi^{\\prime}\\) (i.e. the distance from \\(i\\) to \\(\\pi^{\\prime}(i)\\) traveling clockwise) travels 0 positions. Thus, either each cycle of \\(\\pi^{\\prime}\\) either travels net zero positions, or there is some cycle that travels net negative positions. Since \\(\\pi^{\\prime}(i)\\in \\{i - 1,i,i + 2\\}\\) , the latter case can only happen if \\(\\pi^{\\prime}(i) = i - 1\\) for all \\(i\\) , which has average jump \\(- 1\\) , not 0, contradiction. Thus, each cycle travels net 0 positions. It is easy to see that the only such cycles are \\(i\\mapsto i\\) and \\(i\\mapsto i + 2\\mapsto i + 1\\mapsto i\\) \n\nSay that \\(i\\) is a unicycle start if \\(i\\mapsto i\\) is a cycle in \\(\\pi^{\\prime}\\) , a tricycle start if \\(i\\mapsto i + 2\\mapsto\\) \\(i + 1\\mapsto i\\) is a cycle in \\(\\pi^{\\prime}\\) , and a cycle start if it is either a unicycle start or a tricycle start. It is easy to see that if \\(i\\) is a unicycle start, then \\(i + 1\\) must be a cycle start, and if \\(i\\) is a tricycle start, then \\(i + 3\\) must be a cycle start. \n\nGiven this structural classification of \\(\\pi^{\\prime}\\) , we will now generate a contradiction by showing that \\(\\pi\\) can't have exactly two cycles. Place auxillary frogs \\(C\\) , \\(D\\) , and \\(E\\) on lily pads \\(i\\) , \\(i + 1\\) , and \\(i + 2\\) respectively, where \\(i\\) is a cycle start. If \\(i\\) is a unicycle start, then have \\(C\\) jump to \\(\\pi (i) = i + 3\\) . If \\(i\\) is a tricycle start, then have \\(C\\) , \\(D\\) , and \\(E\\) jump to \\(\\pi (i) = i + 5\\) , \\(\\pi (i + 1) = i + 3\\) , and \\(\\pi (i + 2) = i + 4\\) , respectively. Note that \\(C\\) , \\(D\\) , and \\(E\\) are still on consecutive lily pads in some order, with the first lily pad number being a cycle start. We can repeat this process, having either the first frog or all three frogs jump according to permutation \\(\\pi\\) , depending on whether the first lily pad number is a unicycle start or a tricycle start. When all of the cycles of \\(\\pi^{\\prime}\\) have been exhausted in this manner, \\(C\\) , \\(D\\) , and \\(E\\) are back to positions \\(i\\) , \\(i + 1\\) , and \\(i + 2\\) , in some order. Note that each step of the above process permutes \\(C\\) , \\(D\\) , and \\(E\\) with an even permutation, so the final permutation of \\(C\\) , \\(D\\) , and \\(E\\) must be \\(CDE\\) , \\(DEC\\) , or \\(ECD\\) . The first case implies that \\(\\pi\\) has three cycles, while the other two cases imply that \\(\\pi\\) has only one cycle, a contradiction.\n\n\n\nCase 3: \\(\\ell = 4\\) Now consider the auxillary permutation \\(\\pi^{\\prime \\prime}:\\mathbb{Z} / 2025\\mathbb{Z}\\to \\mathbb{Z} / 2025\\mathbb{Z}\\) given by \\(\\pi^{\\prime \\prime}(i) = \\pi (i) - 4\\) . Note that \\(\\pi^{\\prime \\prime}(i)\\in \\{i - 2,i - 1,i + 1\\}\\) , so a similar analysis as the \\(\\ell = 3\\) case shows that the only two possible types of cycles in \\(\\pi^{\\prime \\prime}\\) are \\(i\\to i + 1\\to i\\) and \\(i\\to i + 1\\to i + 2\\to i\\) . Again, define \\(i\\) to be a bicycle start if \\(i\\mapsto i + 1\\mapsto i\\) is a cycle in \\(\\pi^{\\prime \\prime}\\) a tricycle start if \\(i\\mapsto i + 1\\mapsto i + 2\\mapsto i\\) is a cycle in \\(\\pi^{\\prime \\prime}\\) , and a cycle start if it is either a bicycle or tricycle start. It is easy to see that if \\(i\\) is a bicycle start, then \\(i + 2\\) must be a cycle start, and if \\(i\\) is a tricycle start, then \\(i + 3\\) must be a cycle start. \n\nNow, place auxillary frogs \\(C\\) , \\(D\\) , \\(E\\) , and \\(F\\) on lily pads \\(i\\) , \\(i + 1\\) , \\(i + 2\\) , and \\(i + 3\\) respectively, where \\(i\\) is a cycle start. If \\(i\\) is a bicycle start, have \\(C\\) jump to \\(\\pi (i) = i + 5\\) and \\(D\\) jump to \\(\\pi (i + 1) = i + 4\\) , and if \\(i\\) is a tricycle start, have \\(C\\) jump to \\(\\pi (i) = i + 5\\) , \\(D\\) jump to \\(\\pi (i + 1) = i + 6\\) , and \\(E\\) jump to \\(\\pi (i + 2) = i + 4\\) . Note that \\(C\\) , \\(D\\) , \\(E\\) , and \\(F\\) are still on consecutive lily pads in some order, with the first lily pad number being a cycle start. If \\(i\\) is a bicycle start, then it causes the frogs to permute according to \\(CDEF\\mapsto EFDC\\) , and if \\(i\\) is a tricycle start, then it causes the frogs to permute according to \\(CDEF\\mapsto FECD\\) . \n\nThus, when all of the cycles of \\(\\pi^{\\prime \\prime}\\) have been exhausted in this manner, \\(C\\) , \\(D\\) , \\(E\\) , and \\(F\\) are back to positions \\(i\\) , \\(i + 1\\) , \\(i + 2\\) , and \\(i + 3\\) , in one of the permutations \\(CDEF\\) , \\(EFDC\\) , \\(DCFE\\) , or \\(FECD\\) . The first case implies that \\(\\pi\\) has four cycles, while the second and fourth cases imply that \\(\\pi\\) has only one cycle, a contradiction, so we must be in the third case, i.e. the frogs end up on lily pads \\(i\\) , \\(i + 1\\) , \\(i + 2\\) , and \\(i + 3\\) in the order \\(DCFE\\) . Therefore, one of Alice or Bob travels the combined path of \\(C\\) and \\(D\\) , while the other travels the combined path of \\(E\\) and \\(F\\) , each of which completes two laps around the circle, as desired. \n\nRemark. 2025 can be replaced with any odd number (sufficiently large as to avoid confusion about what a \"lap\" is), and the problem statement will still be true. If 2025 is replaced with an even number, then the problem statement is false only due to the \\(\\ell = 2\\) case. \n\nRemark. Here are some variations of the problem (not checked thoroughly): \n\nIf 2025 is replaced by any odd number and the allowed distances are changed from 2, 3, 5 to 1, 2, 4, then you can conclude that one frog completes one lap and the other completes two laps. \n\nIf 2025 is replaced by any number and the allowed distances are changed to 1, 3, 4, then you can conclude that each frog completes only one lap.", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 5. ", "solution_match": "## \\(\\S 2.2\\) Solution to TST 5, by Linus Tang \n"}} {"year": "2025", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Prove that there exists a real number \\(\\epsilon > 0\\) such that there are infinitely many sequences of integers \\(0 < a_{1} < a_{2} < \\ldots < a_{2025}\\) satisfying \n\n\\[\\gcd (a_{1}^{2} + 1,a_{2}^{2} + 1,\\ldots ,a_{2025}^{2} + 1) > a_{2025}^{1 + \\epsilon}.\\]", "solution": "\\(\\P\\) Solution 1 (Alexander Wang) By the Chinese Remainder Theorem for \\(\\mathbb{Q}[x]\\) , for any choice of \\(2^{12}\\) signs there exists a unique polynomial \\(f_{i}\\) of degree at most 23 such that \n\n\\[f_{i}\\equiv \\pm cx\\pmod {c^{2}x^{2} + 1}\\] \n\nfor \\(c = 1\\) , 2, ..., 12. Furthermore, these polynomials are multiples of \\(x\\) and come in pairs which sum to zero, so we can pick 2048 of these polynomials which have positive leading coefficients and label them \\(f_{1}\\) , \\(f_{2}\\) , ..., \\(f_{2048}\\) . \n\nLet \\(N\\) be a positive integer such that any coefficient of the polynomials is \\(\\frac{1}{N}\\) times an integer. For a suffiently large positive integer \\(x\\) , take \\(a_{i} = f_{i}(Nx)\\) for \\(i = 1\\) , 2, ..., 2025, which will be positive integers. Then, \n\n\\[\\gcd (a_{1}^{2} + 1,a_{2}^{2} + 1,\\ldots ,a_{2025}^{2} + 1)\\geq \\prod_{c = 1}^{12}(c^{2}x^{2} + 1)\\] \n\nbecause \\(a_{i}^{2} + 1\\equiv 0\\) (mod \\(c^{2}x^{2} + 1\\) ) for any \\(i\\) by construction. The right hand side is asymptotically \\(x^{24}\\) while \\(a_{2025}\\) is \\(x^{23}\\) up to constant factors, so any \\(\\epsilon < \\frac{1}{23}\\) works. \n\nRemark. In terms of \\(n = 2025\\) , this solution achieves \\(\\epsilon = \\Omega \\left(\\frac{1}{\\log n}\\right)\\) which is the best that we know of. Solution 2 achieves \\(\\epsilon = \\Omega \\left(\\frac{1}{n^{\\log_{2}(3)}}\\right)\\) while solutions 3 and 4 achieve \\(\\epsilon = \\Omega \\left(\\frac{1}{n}\\right)\\) . \n\n\\(\\P\\) Solution 2 (Luke Robitaille) Define the sequence of polynomials \\(P_{i}\\) by \n\n\\[P_{1}(x) = x^{2} + 1,\\] \\[P_{n}(x) = \\left(\\prod_{i = 1}^{n - 1}P_{i}(x)\\right)^{2} + 1\\mathrm{~for~}n > 1.\\] \n\nDue to the recurrence, we have \\(\\gcd (P_{i}(x),P_{j}(x)) = 1\\) for \\(i\\neq j\\) . Let \n\n\\[P(x) = P_{1}(x)P_{2}(x)\\ldots P_{m}(x),\\] \n\nwhich is a polynomial of degree \\(2\\cdot 3^{m}\\) . For \\(i\\geq 2\\) we have \n\n\\[\\left(\\frac{P(x)}{P_{i}(x)}\\right)^{2} = \\left(\\prod_{i = 1}^{n - 1}P_{i}(x)\\right)^{2}\\times (P_{i + 1}(x))^{2}\\times \\cdot \\cdot \\times (P_{m}(x))^{2}\\] \\[\\equiv -1\\times 1\\times \\cdot \\cdot \\times 1\\equiv -1\\pmod {P_{i}(x)}.\\]\n\n\n\nand additionally \n\n\\[\\left(\\frac{x P(x)}{P_{1}(x)}\\right)^{2} = x^{2}\\times \\left(\\prod_{i = 2}^{m}P_{i}(x)\\right)^{2}\\] \\[\\equiv -1\\pmod {P_{1}(x)}.\\] \n\nNow consider all \\(2^{m - 1}\\) polynomials of the form \n\n\\[Q(x) = \\frac{x P(x)}{P_{1}(x)}\\pm \\frac{P(x)}{P_{2}(x)}\\pm \\frac{P(x)}{P_{3}(x)}\\pm \\dots \\pm \\frac{P(x)}{P_{m}(x)}.\\] \n\nEach such polynomial has leading coefficient 1 and degree \\(2\\cdot 3^{m} - 1\\) , and they are all distinct (the terms are in decreasing order of degree from left to right). Furthermore, each \\(Q(x)\\) satisfies \\(Q(x)^{2}\\equiv - 1\\) (mod \\(P(x)\\) ) by the Chinese Remainder Theorem. \n\nNow we can construct the solution. Let \\(m = 12\\) (so \\(2^{m - 1} > 2025\\) ), \\(\\epsilon < \\frac{1}{2\\cdot 3^{m - 1} - 1}\\) , \\(x\\) be a (large) positive integer and take \\(a_{1},\\ldots ,a_{2025}\\) to be distinct values of \\(Q(x)\\) as described above. Then \\(\\gcd (a_{1}^{2} + 1,a_{2}^{2} + 1,\\ldots ,a_{2025}^{2} + 1)\\geq P(x)\\) and \n\n\\[a_{2025}^{1 + \\epsilon}< a_{2025}^{2\\cdot 3^{m} - 1}< x^{2\\cdot 3^{m}}< P(x)\\] \n\nfor sufficiently large \\(x\\) . Since there are infinitely many such \\(x\\) , we are done. \n\nRemark. This solution takes some inspiration from the other solutions that follow, but stands out for not having to deal with any polynomials outside of \\(\\mathbb{Z}[x]\\) . \n\n\\(\\P\\) Solution 3 (author) We first explain the general idea of the construction. The idea is to work in polynomial ring \\(\\mathbb{Q}[x]\\) . Suppose that the target \\(\\mathrm{gcd}\\) is \\(g(x)\\) , which will have a lot of factors. Then, the equation \\(f(x)^{2}\\equiv - 1\\) (mod \\(g(x)\\) ) will have multiple solutions \\(f_{1},f_{2},\\ldots ,f_{n}\\) , and we will have \\(\\deg f_{i}< \\deg g\\) . Thus, we may take \\(\\begin{array}{r}{\\epsilon = \\frac{1}{\\deg g}} \\end{array}\\) . However, one also needs to find \\(x\\) for which \\(f_{1}(x),\\ldots ,f_{n}(x)\\) are integers. The way we get around this is to find some explicit choice of \\(f_{i}\\) and \\(g\\) as described above, and then pick \\(x\\) manually to ensure integrality. \n\nLet \\(p_{1},p_{2},\\ldots ,p_{n}\\equiv 1\\) (mod 4) be distinct primes that we will constrain later. Let \\(N = p_{1}p_{2}\\ldots p_{n}\\) . Our \\(g\\) will be \n\n\\[g(x) = x^{2N} + 1.\\] \n\nThen, we claim that \n\nClaim — the polynomial \n\n\\[f_{i}(x) = \\frac{2p_{i}}{N}\\cdot \\frac{x^{p_{i}}(x^{2N} + 1)}{x^{2p_{i}} + 1} -x^{N}\\] \n\nsatisfies \\(f_{i}^{2}\\equiv - 1\\) (mod \\(g\\) ). \n\nProof. A direct computation shows that \n\n\\[f_{i}\\equiv x^{p_{i}}\\pmod{x^{2p_{i}} + 1\\] \\[f_{i}\\equiv -x^{N}\\pmod{\\frac{x^{2N} + 1}{x^{2p_{i}} + 1}}\\]\n\n\n\nIn the next claim, we will show that one may choose \\(p_{1},\\ldots ,p_{n}\\) so that \\(f_{1}(2)\\) , ..., \\(f_{n}(2)\\) are all integers. This will imply that if \\(a\\equiv 2\\) (mod \\(N\\) ), then \\(f_{1}(a)\\) , ..., \\(f_{n}(a)\\) are integers all divisible by \\(\\frac{g(a)}{N}\\) . By taking \\(a\\) large, this gives a construction for \\(\\epsilon < \\frac{1}{2N}\\) . \n\nTo finish the problem, we prove the claim. \n\nClaim — There exists \\(n\\) distinct primes \\(p_{1},p_{2},\\ldots ,p_{n}\\equiv 1\\) (mod 4) such that for any indices \\(i\\neq j\\) , \n\n\\[p_{j}\\mid \\frac{4^{p_{1}p_{2}\\ldots p_{n}} + 1}{4^{p_{i}} + 1}.\\] \n\nProof. First, we will establish a prime sequence which \\(p_{1}p_{2}\\ldots p_{n}\\mid 4^{p_{1}p_{2}\\ldots p_{n}} + 1\\) . This is essentially IMO 2000 P5: begin with \\(p_{1} = 5\\) and for each \\(i\\) , assign (by Zsigmondy) \\(p_{i}\\) a primitive prime divisor of \\(4^{p_{1}p_{2}\\ldots p_{i - 1}} + 1\\) ; it's easy to see that this works as advertised. \n\nNow, for each \\(i,j\\) , the divisibility relation is verified unless \\(p_{j}\\mid 4^{p_{i}} + 1\\) , in which case we can apply Lifting the Exponent lemma to complete the proof. Finally, note that \\(p_{i}\\equiv 1\\) (mod 4) because each divide \\(4^{p_{1}p_{2}\\ldots p_{n}} + 1\\) , a perfect square plus one. \\(\\square\\) \n\n\\(\\P\\) Solution 4 (Carl Schildkraut, Mihir Singhal, Brandon Wang) We show the result for each \\(n = 2^{m - 1}\\) . For positive integers \\(i\\) , define polynomials \\(h_{i}(x) = x^{2^{i - 1}}\\) and \\(f_{i}(x) = h_{i}(x)^{2} + 1 = x^{2^{i}} + 1\\) . The main claim is the following: \n\nClaim — For every positive integer \\(m\\) , there exist polynomials \\(g_{1},\\ldots ,g_{m}\\in \\mathbb{Z}[x]\\) satisfying \n\n\\[\\sum_{i = 1}^{m}\\frac{g_{i}(x)}{f_{i}(x)} = \\frac{2^{m - 1}}{f_{1}(x)\\cdot\\cdot\\cdot f_{m}(x)}.\\] \n\nProof. We prove the result by induction on \\(m\\) . In the base case of \\(m = 1\\) , we may simply take \\(g_{1}(x) = 1\\) . \n\nFor the inductive step, suppose \\(m\\geq 2\\) , and the result holds for \\(m - 1\\) . Let \\(p_{1},\\ldots ,p_{m - 1}\\) be polynomials for which \n\n\\[\\sum_{i = 1}^{m - 1}\\frac{p_{i}(x)}{f_{i}(x)} = \\frac{2^{m - 2}}{f_{1}(x)\\cdot\\cdot\\cdot f_{m - 1}(x)}.\\] \n\nWrite \\(p_{0}(x) = p_{m}(x)\\) for notational simplicity. Since \\(f_{i + 1}(x) = f_{i}(x^{2})\\) , we also have \n\n\\[\\sum_{i = 1}^{m - 1}\\frac{p_{i}(x^{2})}{f_{i + 1}(x)} = \\frac{2^{m - 2}}{f_{2}(x)\\cdot\\cdot\\cdot f_{m}(x)}.\\] \n\nDefining \\(g_{i}(x) = p_{i}(x) - p_{i - 1}(x^{2})\\cdot \\frac{x^{2^{m}} - 1}{x^{2} + 1}\\) , we have \n\n\\[\\sum_{i = 1}^{m}\\frac{g_{i}(x)}{f_{i}(x)} = \\sum_{i = 1}^{m}\\frac{p_{i}(x)}{f_{i}(x)} -\\frac{x^{2^{m}} - 1}{x^{2} + 1}\\sum_{i = 1}^{m}\\frac{p_{i - 1}(x^{2})}{f_{i}(x)}\\] \\[\\qquad = \\frac{2^{m - 2}}{f_{1}\\cdot\\cdot\\cdot f_{m - 1}} -\\frac{f_{m} - 2}{f_{1}}\\cdot \\frac{2^{m - 2}}{f_{2}\\cdot\\cdot\\cdot f_{m}} = \\frac{2^{m - 2}(f_{m} - (f_{m} - 2))}{f_{1}\\cdot\\cdot\\cdot f_{m}} = \\frac{2^{m - 1}}{f_{1}\\cdot\\cdot\\cdot f_{m}},\\] \n\nas desired.\n\n\n\nFix \\(m\\) , and let \\(g_{1},\\ldots ,g_{m}\\) be as guaranteed by the lemma. Now, for each \\(\\theta \\in \\{- 1,1\\}^{m}\\) , define a polynomial \\(q_{\\theta}(x)\\) by \n\n\\[q_{\\theta}(x) = \\sum_{i = 1}^{m}\\theta_{i}g_{i}(x)h_{i}(x)\\prod_{\\stackrel{j = 1}{j\\neq i}}^{m}f_{i}(x).\\] \n\nFor each \\(i\\) , we have \n\n\\[q_{\\theta}(x)\\equiv \\theta_{i}h_{i}(x)\\left(g_{i}(x)\\prod_{\\stackrel{j = 1}{j\\neq i}}^{m}f_{i}(x)\\right)\\equiv 2^{m - 1}\\theta_{i}h_{i}(x)\\pmod {f_{i}(x)}.\\] \n\nAs a result, since \\(h_{i}^{2}\\equiv - 1\\) (mod \\(f_{i}\\) ), we have \n\n\\[q_{\\theta}(x)^{2} + 2^{2m - 2}\\equiv 2^{2m - 2}\\left(\\theta_{i}^{2}h_{i}(x)^{2} + 1\\right) = 2^{2m - 2}f_{i}(x)\\equiv 0\\pmod {f_{i}}\\] \n\nfor each \\(i\\) . The polynomials \\(f_{i}\\) are relatively prime, so we conclude in fact that \n\n\\[f_{1}\\cdot \\cdot \\cdot f_{m}\\mid q_{\\theta}^{2} + 2^{2m - 2}. \\quad (*)\\] \n\nLet \\(p_{\\theta}\\) be the remainder when \\(q_{\\theta}\\) is divided by the product \\(f_{1}\\cdot \\cdot \\cdot f_{m}\\) , so that \\(\\deg p_{\\theta}<\\) \\(\\deg (f_{1}\\cdot \\cdot \\cdot f_{m})\\) ; since \\(f_{1}\\cdot \\cdot \\cdot f_{m}\\) is monic, \\(p_{\\theta}\\) has integer coefficients. Moreover, there exists a polynomial \\(s_{\\theta}\\) so that \n\n\\[p_{\\theta} = s_{\\theta}\\cdot f_{1}\\cdot \\cdot \\cdot f_{m} + \\sum_{i = 1}^{m}\\theta_{i}g_{i}h_{i}\\prod_{\\stackrel{j = 1}{j\\neq i}}^{m}f_{i}.\\] \n\nIn particular, since \\(f_{i}(X)\\) is even for any \\(i\\) and any odd integer \\(X\\) , \\(p_{\\theta}(X)\\) is a multiple of \\(2^{m - 1}\\) . Let \\(X\\) be an odd integer, and define \\(a_{\\theta ,X} = p_{\\theta}(X) / 2^{m - 1}\\in \\mathbb{Z}\\) . Since \\((\\star)\\) holds for \\(p_{\\theta}\\) as well as \\(q_{\\theta}\\) , there is a monic polynomial \\(t_{\\theta}\\) for which \n\n\\[p_{\\theta}^{2} + 2^{2m - 2} = t_{\\theta}f_{1}\\cdot \\cdot \\cdot f_{m},\\] \n\nwhence \n\n\\[a_{\\theta ,X}^{2} + 1 = \\frac{1}{2^{2m - 2}}\\left(p_{\\theta}(X)^{2} + 1\\right) = t_{\\theta}(x)\\prod_{i = 1}^{m}\\frac{f_{i}(X)}{2}.\\] \n\nTherefore \n\n\\[\\prod_{i = 1}^{m}\\frac{f_{i}(X)}{2}\\mathrm{~divides~}\\gcd \\left(\\{a_{\\theta ,X}:\\theta \\in \\{-1,1\\}^{m}\\}\\right).\\] \n\nAs \\(X\\) grows, the gcd above is at least \\(2^{- m}X^{\\deg f_{1}\\cdot \\cdot \\cdot f_{m}}\\) . But each \\(p_{\\theta}\\) has degree at most \\((\\deg f_{1}\\cdot \\cdot \\cdot f_{m}) - 1\\) , so each \\(a_{\\theta ,X}\\) is at most some constant \\(C\\) times \\(X^{\\deg (f_{1}\\cdot \\cdot \\cdot f_{m}) - 1}\\) . Therefore, for any \\(0< \\epsilon < \\frac{1}{\\deg(f_{1} + \\cdot \\cdot \\cdot f_{m}) - 1}\\) , we have for large enough \\(X\\) that \n\n\\[\\gcd \\left(\\{a_{\\theta ,X}:\\theta \\in \\{-1,1\\}^{m}\\} \\right)\\geq \\max \\left(\\left\\{|a_{\\theta ,X}|:\\theta \\in \\{-1,1\\}^{m}\\right\\} \\right)^{1 + \\epsilon}.\\] \n\nAs \\(a_{\\theta ,X} = - a_{- \\theta ,X}\\) , at least half of the \\(a_{\\theta ,X}\\) are nonnegative. We conclude the result for \\(n = 2^{m - 1}\\) and any \\(\\epsilon < \\frac{1}{2^{m + 1} - 3}\\) .", "metadata": {"resource_path": "USA_TST/segmented/en-sols-TST-IMO-2025.jsonl", "problem_match": "Problem 6. ", "solution_match": "## \\(\\S 2.3\\) Solution to TST 6, by Pitchayut Saengrungkonga \n"}} diff --git a/USA_TSTST/md/en-sols-TSTST-2024.md b/USA_TSTST/md/en-sols-TSTST-2024.md index eebc2bbe13fcd43bd86bb5cea544f4d6bef9ecb6..c476b4bbe34ae270776baca7a1e2796e063608f6 100644 --- a/USA_TSTST/md/en-sols-TSTST-2024.md +++ b/USA_TSTST/md/en-sols-TSTST-2024.md @@ -351,7 +351,7 @@ Let \(ABCD\) be a quadrilateral inscribed in a circle with center \(O\) and \(E\ \(\P\) Solution 1. Let \(R = \overline{AD} \cap \overline{BC}\) (possibly at infinity, but we'll see it's an Euclidean point later). -![](data:image/jpeg;base64,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) +![md5:ad7baa2cae83acd3a9de6d152e0e8d78](ad7baa2cae83acd3a9de6d152e0e8d78.jpeg) Claim — \(ACRP\) is an isosceles trapezoid with \(\overline{AC} \parallel \overline{PR}\) . Consequently, \(R\) is an Euclidean point, and \(OP = OR\) . @@ -372,7 +372,7 @@ Similarly \(OQ = OR\) , so we're done. Solution 2. -![](data:image/jpeg;base64,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) +![md5:4fb7ae6bcb0b6ec9f9729e819a85250b](4fb7ae6bcb0b6ec9f9729e819a85250b.jpeg) Let \(PA\) intersect (ABCD) again at \(A^{\prime}\) and let \(QB\) intersect (ABCD) again at \(B^{\prime}\) The problem follows from the following claim. @@ -749,7 +749,7 @@ Let \(ABC\) be a scalene triangle, and let \(D\) be a point on side \(BC\) satis Claim — Points \(X\) and \(Y\) are isogonal conjugates with respect to \(\triangle ABC\) . -![](data:image/jpeg;base64,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) +![md5:81e3d89a04fd928315f7da75519c87e7](81e3d89a04fd928315f7da75519c87e7.jpeg) Here are two proofs of the claim. diff --git a/USA_TSTST/md/en-sols-TSTST-2025.md b/USA_TSTST/md/en-sols-TSTST-2025.md index 018ca7622940ffd5ef185ecd86bd7f77544127c9..93df6e863d8f7d8a714a5687825ff836ecfa5832 100644 --- a/USA_TSTST/md/en-sols-TSTST-2025.md +++ b/USA_TSTST/md/en-sols-TSTST-2025.md @@ -143,12 +143,12 @@ A tetrahedron \(A B C D\) is said to be angelic if it has nonzero volume and sat Across all angelic tetrahedrons, what is the maximum number of distinct lengths that could appear in the set \(\{A B,A C,A D,B C,B D,C D\}\) ? -![](data:image/jpeg;base64,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) +![md5:fdf6beeb70435b3048d478995c399aa0](fdf6beeb70435b3048d478995c399aa0.jpeg) We claim the maximum cardinality is \(\boxed{4}\) . This is attained by taking a non- square rectangle (or parallelogram) \(A C B D\) and folding it along diagonal \(A B\) , creating edges \(A B\) and \(C D\) in the process. Here, \(A C = B D\) and \(A D = B C\) , while every other length is distinct in the general case. This tetrahedron is congruent to itself under the permutation of vertices \((A,B,C,D)\mapsto (B,A,D,C)\) , and we can verify that the required angle conditions follow from this symmetry. -![](data:image/jpeg;base64,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) +![md5:1485495740b3acda036b4994365120d4](1485495740b3acda036b4994365120d4.jpeg) In the other direction, let \(f(X)\) denote the sum of the angles at \(X\) , so the conditions of the problem statement can be written as \(f(A) = f(B)\) and \(f(C) = f(D)\) . Unfold the three faces that meet at \(D\) to create a net of the tetrahedron. Along with the face \(\triangle A B C\) , we also create the faces \(\triangle A B D_{1}\) , \(\triangle B C D_{2}\) , and \(\triangle A C D_{3}\) . Note that @@ -325,7 +325,7 @@ An analogous proof works for the other side. Since \(N B_{2} = N C_{2}\) , it follows that \(N\) lies on the radical axis of \((B B_{1}B_{2})\) and \((C C_{1}C_{2})\) . Thus we want to show \(X\) , the foot of \(N\) onto \(O_{B}O_{C}\) , lies on the nine- point circle. -![](data:image/jpeg;base64,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) +![md5:93a2d3d418a640e4f2be328181d86da1](93a2d3d418a640e4f2be328181d86da1.jpeg) Let \(D\) , \(E\) , \(F\) be the feet of the altitudes in \(\triangle A B C\) , and let \(M_{B}\) , \(M_{C}\) be the midpoints of \(B H\) , \(C H\) . Let \(B_{3}\) , \(C_{3}\) be the second intersections of \((B_{2}C_{2}H)\) with \((B B_{1}B_{2})\) , \((C C_{1}C_{2})\) . @@ -365,7 +365,7 @@ Proof. Move \(\ell\) linearly. Then \(\triangle BB_{1}B_{2}\) is dilating at \(B which by symmetry means \(\overline{B O_{B}} \parallel \overline{C O_{C}}\) . Thus we need to find a point \(Y\) on the nine- point circle such that \(O_{B} - O_{C} - Y\) in 2 cases. -![](data:image/jpeg;base64,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) +![md5:87cf228d192824f22500a54631d83e64](87cf228d192824f22500a54631d83e64.jpeg) Suppose \(\ell\) passes through \(H\) . In that case, let \(Q = (BB_{1}H)\cap (CC_{1}H)\) . We get that \(Q\) lies on \((ABC)\) by chasing @@ -381,7 +381,7 @@ so \(\overline{AY_{1}}\perp \ell\) . If \(Y\) is the midpoint of \(HY_{1}\) , th Let \(P_{\infty}\) be the point at infinity of \(\ell\) , and let \(P = r\cap \ell\) . Since \(PB_{1}\cdot PB_{2} = PC_{1}\cdot PC_{2}\) (with signed lengths), we have that \((P,P_{\infty}),(B_{1},B_{2}),(C_{1},C_{2})\) are 3 pairs under the same involution on \(\ell\) . Then by DIT on the 4 points \(A,H,E,F\) and the line \(\ell\) , if \(\mathcal{C}\) is the conic through \(A,H,E,F,P_{\infty}\) , then \(P\) also lies on \(\mathcal{C}\) . Now we do moving points. -![](data:image/jpeg;base64,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) +![md5:09f127c13e8fcffeff21cf1bc41869ca](09f127c13e8fcffeff21cf1bc41869ca.jpeg) - Let \(P_{\infty}\) be a sufficiently general fixed point at infinity (proving the problem for sufficiently general \(P_{\infty}\) suffices by continuity. diff --git a/USA_TSTST/segmented/en-sols-TSTST-2024.jsonl b/USA_TSTST/segmented/en-sols-TSTST-2024.jsonl index b187ed3eca749b4c853161ed10ecc66b1b5ed3d6..d6ec46b004fab181afbfd98f44546b94d3c99efc 100644 --- a/USA_TSTST/segmented/en-sols-TSTST-2024.jsonl +++ b/USA_TSTST/segmented/en-sols-TSTST-2024.jsonl @@ -1,9 +1,9 @@ {"year": "2024", "tier": "T0", "problem_label": "1", "problem_type": null, "exam": "USA_TSTST", "problem": "For every ordered pair of integers \\((i,j)\\) , not necessarily positive, we wish to select a point \\(P_{i,j}\\) in the Cartesian plane whose coordinates lie inside the unit square defined by \n\n\\[i< x< i + 1,\\qquad j< y< j + 1.\\] \n\nFind all real numbers \\(c > 0\\) for which it's possible to choose these points such that for all integers \\(i\\) and \\(j\\) , the (possibly concave or degenerate) quadrilateral \\(P_{i,j}P_{i + 1,j}P_{i + 1,j + 1}P_{i,j + 1}\\) has perimeter strictly less than \\(c\\) .", "solution": "Answer. \\(c\\geq 4\\) \n\nProof \\(c< 4\\) is not possible. Let \\(n\\) be an arbitrary positive integer. We take an \\(n\\times n\\) subgrid of unit squares (i.e. \\(P_{i,j}\\) for \\(1\\leq i,j\\leq n\\) ), and compute a lower bound on the average of all possible quadrilaterals from this subgrid. \n\nConsider the average length of the \"top side\" of all possible quadrilaterals in this grid. Note that this is equal to: \n\n\\[\\frac{1}{(n - 1)^2}\\sum_{i = 1}^{n - 1}\\sum_{j = 1}^{n - 1}P_{i,j}P_{i + 1,j}\\geq \\frac{1}{(n - 1)^2}\\sum_{j = 1}^{n - 1}P_{1,j}P_{n,j} > \\frac{n - 2}{n - 1}.\\] \n\nWe can apply this bound to all four sides of the quadrilateral (the left, right, bottom, and top sides) to find that the average perimeter of all possible quadrilaterals is greater than \n\n\\[\\frac{4(n - 2)}{n - 1} = 4 - \\frac{4}{n - 1}.\\] \n\nThis means we can always find a quadrilateral whose perimeter is at least \\(4 - \\frac{4}{n - 1}\\) . By taking sufficiently large \\(n\\) , this lower bound will exceed \\(c\\) . \n\nProof \\(c = 4\\) is possible. We'll place point \\(P_{i,j}\\) at the coordinates \\((f(i),f(j))\\) for some function \\(f:\\mathbb{Z}\\to \\mathbb{R}\\) . The perimeter of \\(P_{i,j}P_{i + 1,j}P_{i + 1,j + 1}P_{i,j + 1}\\) is then \n\n\\[2\\big(|f(i + 1) - f(i)| + |f(j + 1) - f(j)|\\big).\\] \n\nTherefore we have a valid construction for \\(c = 4\\) if \\(f\\) satisfies \\(n< f(n)< n + 1\\) and \\(|f(n + 1) - f(n)|< 1\\) for all \\(n\\) . This is achieved by \n\n\\[f(n) = n + 0.5 + \\left\\{ \\begin{array}{ll} - \\sum_{i = 1}^{n}\\frac{1}{10^{i}} & \\mathrm{if~}n\\geq 0,\\\\ \\sum_{i = 1}^{-n}\\frac{1}{10^{i}} & \\mathrm{if~}n< 0. \\end{array} \\right.\\] \n\nLet's check the conditions. The sum is bounded by \\(\\sum_{i = 1}^{\\infty}\\frac{1}{10^{i}} = \\frac{1}{9}\\) in magnitude, so \\(n< f(n)< n + 1\\) . Furthermore, we can verify that \n\n\\[f(n + 1) - f(n) = 1 - \\left\\{ \\begin{array}{ll}\\frac{1}{10^{n + 1}} & \\mathrm{if~}n\\geq 0,\\\\ \\frac{1}{10^{-n}} & \\mathrm{if~}n< 0 \\end{array} \\right.< 1.\\]", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "1. ", "solution_match": "## \\(\\S 1.1\\) TSTST 2024/1, proposed by Karthik Vedula \n"}} {"year": "2024", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(p\\) be an odd prime number. Suppose \\(P\\) and \\(Q\\) are polynomials with integer coefficients such that \\(P(0) = Q(0) = 1\\) , there is no nonconstant polynomial dividing both \\(P\\) and \\(Q\\) , and \n\n\\[1 + \\frac{x}{1 + \\frac{2x}{1 + \\frac{\\cdots}{1 + (p - 1)x}}} = \\frac{P(x)}{Q(x)}.\\] \n\nShow that all coefficients of \\(P\\) except for the constant coefficient are divisible by \\(p\\) , and all coefficients of \\(Q\\) are not divisible by \\(p\\) .", "solution": "\\(\\P\\) Solution 1. We first make some general observations about rational functions represented through continued fractions. \n\nClaim — Let \\(a_{1}, a_{2}, \\ldots\\) , be a sequence of nonzero integers. Define the sequence of polynomials \\(P_{1}(x) = 1\\) , \\(P_{2}(x) = 1 + a_{1}x\\) , and \n\n\\[P_{k + 1}(x) = P_{k}(x) + a_{k}x P_{k - 1}(x)\\] \n\nfor \\(k \\geq 1\\) . Then the following properties hold for all \\(k \\geq 0\\) : \n\n- \\(P_{k}(0) = 1\\) , \n\n- \\(\\gcd (P_{k + 1}, P_{k}) = 1\\) , and \n\n- \\(\\deg P_{k} = \\lfloor k / 2 \\rfloor\\) . \n\n\\[1 + \\frac{a_{k}x}{1 + \\frac{a_{k - 1}x}{\\ddots}} = \\frac{P_{k + 1}(x)}{P_{k}(x)}.\\] \\[1 + \\frac{\\ddots}{1 + a_{1}x}\\] \n\nProof. These all follow by induction. \n\nWith the setup of the claim, the polynomials \\(P\\) and \\(Q\\) in the problem are exactly \\(P_{p}\\) and \\(P_{p}\\) for the sequence \\(a_{1} = p - 1\\) , \\(a_{2} = p - 2\\) , ..., \\(a_{p - 1} = 1\\) . From here, we will define \\(P\\) and \\(Q\\) in terms of this recurrence and make two transformations on the \\(a_{i}\\) . \n\nFirst, subtract \\(p\\) from each \\(a_{i}\\) so we now have \\(a_{1} = - 1\\) , \\(a_{2} = - 2\\) , ..., \\(a_{p - 1} = -(p - 1)\\) . The coefficients of \\(P\\) and \\(Q\\) only have changed by a multiple of \\(p\\) . The claim also shows that \\(P(0) = Q(0) = 1\\) , \\(\\gcd (P, Q) = 1\\) , and the degrees of \\(P\\) and \\(Q\\) have not changed, i.e. no leading terms have been added or removed. Therefore it is equivalent to work with this sequence instead.\n\n\n\nSimilarly, we can multiply \\(a_{i}\\) by \\(- 1\\) to get \\(a_{1} = 1\\) , \\(a_{2} = 2\\) , ..., \\(a_{p - 1} = p - 1\\) . This is equivalent to replacing \\(x\\) with \\(- x\\) , so some coefficients of \\(P\\) and \\(Q\\) are negated by this. The key conditions still remain unchanged. \n\nRemark. For rigor, it's important to prove the facts about continued fractions first rather than going straight to the coefficient replacement as the requirements imposed by the problem statement on \\(P\\) and \\(Q\\) are not always preserved modulo \\(p\\) . \n\nAt this point, we are ready to directly calculate the polynomials \\(P_{n}\\) . \n\nClaim — For all \\(n\\) , we have \n\n\\[P_{n}(x) = \\sum_{k\\geq 0}\\frac{n!}{2^{k}k!(n - 2k)!} x^{k}.\\] \n\nHere, we define \\(\\frac{n!}{(n - 2k)!} = n(n - 1)\\ldots (n - 2k + 1)\\) so the sum actually stops at \\(k = \\lfloor n / 2\\rfloor\\) . \n\nProof. We use induction. The base cases are clear, and \n\n\\[P_{n} + n x P_{n - 1} = \\sum_{k\\geq 0}\\frac{1}{2^{k}k!}\\frac{n!}{(n - 2k)!} x^{k} + n x\\sum_{k\\geq 0}\\frac{1}{2^{k}k!}\\frac{(n - 1)!}{(n - 2k - 1)!} x^{k}\\] \\[\\qquad = \\sum_{k\\geq 0}\\frac{1}{2^{k}k!}\\frac{n!}{(n - 2k)!} x^{k} + \\sum_{k\\geq 0}\\frac{1}{2^{k}k!}\\frac{n!}{(n - 2k - 1)!} x^{k + 1}\\] \\[\\qquad = \\sum_{k\\geq 0}\\frac{1}{2^{k}k!}\\frac{n!}{(n - 2k)!} x^{k} + \\sum_{k\\geq 1}\\frac{1}{2^{k - 1}(k - 1)!}\\frac{n!}{(n - 2k + 1)!} x^{k}\\] \\[\\qquad = 1 + \\sum_{k\\geq 1}\\left[\\frac{1}{2^{k}k!}\\frac{n!}{(n - 2k)!} +\\frac{1}{2^{k - 1}(k - 1)!}\\frac{n!}{(n - 2k + 1)!}\\right]x^{k}\\] \\[\\qquad = 1 + \\sum_{k\\geq 1}\\frac{1}{2^{k}k!}\\frac{n!}{(n - 2k + 1)!}\\left[(n - 2k + 1) + 2k\\right]x^{k}\\] \\[\\qquad = 1 + \\sum_{k\\geq 1}\\frac{1}{2^{k}k!}\\frac{(n + 1)!}{(n - 2k + 1)!} x^{k}\\] \\[\\qquad = \\sum_{k\\geq 0}\\frac{1}{2^{k}k!}\\frac{(n + 1)!}{(n - 2k + 1)!} x^{k}\\] \\[\\qquad = P_{n + 1}.\\] \n\nAt this point we can directly check the coefficients of \\(P\\) and \\(Q\\) . We have \n\n\\[P(x) = P_{p}(x) = \\sum_{k\\geq 0}\\frac{p!}{2^{k}k!(p - 2k)!} x^{k}.\\] \n\nFor \\(k = 0\\) , we get a coefficient of 1. For \\(k \\geq 1\\) , the denominator is not a multiple of \\(p\\) , so the remaining coefficients are multiples of \\(p\\) . Meanwhile, the coefficients for \\(Q\\) are \\(\\frac{(p - 1)!}{2^{k}k!(p - 1 - 2k)!}\\) . None of these are divisible by \\(p\\) because \\((p - 1)!\\) is not divisible by \\(p\\) .\n\n\n\nRemark. This problem was created from the identity \n\n\\[\\frac{1}{1 - \\frac{x}{1 - \\frac{2x}{1 - \\frac{3x}{1 - \\cdots}}}}\\] \n\nYou can use this to solve the problem. However, the proof of the identity as well as the details to convert this into the given problem are very lengthy so this is only left as a remark. \n\n## Solution 2. \n\n## Lemma \n\nDefine a series of polynomials \\(A_{n}\\) , \\(B_{n}\\) , \\(C_{n}\\) , \\(D_{n}\\) by letting \\(A_{1} = 1\\) , \\(B_{1} = x\\) , \\(C_{1} = 1\\) , and \\(D_{1} = 0\\) , and for \\(n \\geq 2\\) , \n\n\\[A_{n} = A_{n - 1} + B_{n - 1} B_{n} = nxA_{n - 1\\] \\[C_{n} = C_{n - 1} + D_{n - 1} D_{n} = nxC_{n - 1}.\\] \n\nThen, if we define \\(f_{k}(t) = 1 + \\frac{kx}{t}\\) , then \n\n\\[(f_{1}\\circ f_{2}\\circ \\cdot \\cdot \\cdot \\circ f_{n})(t) = \\frac{A_{n}t + B_{n}}{C_{n}t + D_{n}}.\\] \n\nProof. Straightforward by induction: the \\(n = 1\\) case is true and for \\(n \\geq 2\\) , \n\n\\[\\frac{A_{n - 1}f_{n}(t) + B_{n - 1}}{C_{n - 1}f_{n}(t) + D_{n - 1}} = \\frac{A_{n - 1}(t + nx) + B_{n - 1}t}{C_{n - 1}(t + nx) + D_{n - 1}t} = \\frac{(A_{n - 1} + B_{n - 1})t + nxA_{n - 1}}{(C_{n - 1} + D_{n - 1})t + nxD_{n - 1}}.\\] \n\nIt is possible to solve these recurrences algebraically, but there is in fact a nice combinatorial interpretation of these polynomials: \n\n## Lemma \n\nLet \\(\\mathcal{T}_{n}\\) be the set of involutions on \\(\\{1,2,\\ldots ,n\\}\\) and for \\(\\pi \\in \\mathcal{T}_{n}\\) , let \\(a(\\pi)\\) denote the number of transpositions in \\(\\pi\\) . Let \\(\\mathcal{J}_{n} \\subseteq \\mathcal{T}_{n}\\) be the set of involutions \\(\\pi\\) where the minimal fixed point is less than the minimal \\(x\\) with \\(\\pi (x) < x\\) . Then, for all \\(k \\geq 1\\) , we have \n\n\\[A_{n} = \\sum_{\\pi \\in \\mathcal{T}_{n}}x^{a(\\pi)} B_{n} = \\sum_{\\pi \\in \\mathcal{T}_{n + 1}\\atop \\pi (n + 1)\\neq n + 1}x^{a(\\pi)}\\] \\[C_{n} = \\sum_{\\pi \\in \\mathcal{J}_{n}}x^{a(\\pi)} D_{n} = \\sum_{\\pi \\in \\mathcal{J}_{n + 1}\\atop \\pi (n + 1)\\neq n + 1}x^{a(\\pi)}.\\] \n\nProof. We use induction on \\(n\\) , with the case \\(n = 1\\) being easily verified. For \\(n \\geq 2\\) , note that \n\n\\[A_{n} - B_{n - 1} = \\sum_{\\substack{\\pi \\in \\mathcal{I}_{k + 1} \\\\ \\pi (k + 1) = k + 1}}x^{a(\\pi)} = A_{n - 1}.\\]\n\n\n\nMoreover, every \\(\\pi \\in \\mathcal{I}_{n + 1}\\) swapping \\(n + 1\\) with something else can be characterized by one of \\(n\\) choices for \\(\\pi (n + 1)\\) and an involution on the remaining \\(n - 1\\) elements. Therefore \\(B_{n} = n x A_{n - 1}\\) . A similar proof holds for the \\(C_{n}\\) and \\(D_{n}\\) . \\(\\square\\) \n\nWe now note that \n\n\\[\\frac{P(x)}{Q(x)} = (f_{1}\\circ f_{2}\\circ \\cdot \\cdot \\cdot \\circ f_{p - 1})(1) = \\frac{A_{p - 1} + B_{p - 1}}{C_{p - 1} + D_{p - 1}} = \\frac{A_{p}}{C_{p}}.\\] \n\nIt suffices to show that all nonconstant coefficients of \\(A_{p}\\) are divisible by \\(p\\) and that all coefficients of \\(C_{p}\\) are not divisible by \\(p\\) . If we show this, then any nonconstant factor dividing \\(A_{p}\\) must have a leading coefficient divisible by \\(p\\) (proof: reduce the factorization mod \\(p\\) ), then any nonconstant factor dividing \\(C_{p}\\) cannot have a leading coefficient divisible by \\(p\\) . Moreover, since \\(A_{p}\\) and \\(C_{p}\\) have constant terms of 1, they are relatively prime and thus \\(P = A_{p}\\) and \\(Q = C_{p}\\) (up to sign). \n\nWe now evaluate the coefficients of \\(A_{p}\\) and \\(C_{p}\\) . We observe that \n\n\\[A_{p} = \\sum_{k = 0}^{\\frac{p - 1}{2}}\\binom{p}{2k}(2k - 1)!!x^{k},\\] \n\nand it is easy to see that \\(A_{p} \\equiv 1\\) (mod \\(p\\) ). Computing the coefficients of \\(C_{n}\\) is a bit harder. Consider elements of \\(\\mathcal{J}_{p}\\) with \\(0 \\leq k \\leq \\frac{p - 1}{2}\\) swaps and a minimal fixed point of \\(a + 1\\) (for \\(0 \\leq a \\leq k\\) ). Everything in \\(\\{1, \\ldots , a\\}\\) must be paired with something greater than \\(a + 1\\) , and there are \\(k - a\\) swaps among the remaining elements. It follows that \n\n\\[C_{p} = \\sum_{k = 0}^{\\frac{p - 1}{2}}\\sum_{a = 0}^{k}\\frac{(p - a - 1)!}{(p - 2a - 1)!}\\binom{p - 2a - 1}{2k - 2a}(2k - 2a - 1)!!\\cdot x^{k}\\] \\[\\quad = \\sum_{k = 0}^{\\frac{p - 1}{2}}\\sum_{a = 0}^{k}\\frac{(p - a - 1)!}{(p - 2k - 1)!2^{k - a}(k - a)!}x^{k}\\] \\[\\quad = \\sum_{k = 0}^{\\frac{p - 1}{2}}\\frac{(p - 1)!}{(p - 2k - 1)!}\\left(\\sum_{a = 0}^{k}\\frac{1}{2^{k - a}(k - a)!}\\prod_{j = 1}^{a}(p - j)\\right)x^{k}\\] \\[\\quad \\equiv \\sum_{k = 0}^{\\frac{p - 1}{2}}\\frac{(p - 1)!}{(p - 2k - 1)!}\\left(\\sum_{a = 0}^{k}\\frac{(-1)^{a}}{2^{k - a}(k - a)!a!}\\right)x^{k}\\] \\[\\quad = \\sum_{k = 0}^{\\frac{p - 1}{2}}\\frac{(p - 1)!}{(p - 2k - 1)!k!}\\left(\\sum_{a = 0}^{k}\\binom{k}{a}\\frac{(-1)^{a}}{2^{k - a}}\\right)x^{k}\\] \\[\\quad = \\sum_{k = 0}^{\\frac{p - 1}{2}}\\frac{(p - 1)!}{(p - 2k - 1)!k!}\\left(-1 + \\frac{1}{2}\\right)^{k}x^{k}.\\] \n\nThe result follows. \n\nRemark. It is not hard to see that \\(C_{p}\\) simplifies further mod \\(p\\) to \n\n\\[\\sum_{k = 0}^{\\frac{p - 1}{2}}(-1)^{k}(2k - 1)!!x^{k}.\\]", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "2. ", "solution_match": "## \\(\\S 1.2\\) TSTST 2024/2, proposed by Andrew Gu \n"}} {"year": "2024", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(A = \\{a_{1},\\ldots ,a_{2024}\\}\\) be a set of 2024 pairwise distinct real numbers. Assume that there exist positive integers \\(b_{1},b_{2},\\ldots ,b_{2024}\\) such that \n\n\\[a_{1}b_{1} + a_{2}b_{2} + \\cdot \\cdot \\cdot +a_{2024}b_{2024} = 0.\\] \n\nProve that one can choose \\(a_{2025},a_{2026},a_{2027},\\ldots\\) such that \\(a_{k}\\in A\\) for all \\(k\\geq 2025\\) and, for every positive integer \\(d\\) , there exist infinitely many positive integers \\(n\\) satisfying \n\n\\[\\sum_{k = 1}^{n}a_{k}k^{d} = 0.\\]", "solution": "It will be convenient to use 0- based indexing here, i.e. \\(A = \\{a_{0},\\ldots ,a_{2023}\\}\\) and so on. Let \\(m = \\sum_{i = 0}^{2023}b_{i}\\) . By appending \\(b_{i} - 1\\) copies of \\(a_{i}\\) for each \\(i\\) , we may extend the sequence to \\(a_{0},\\ldots ,a_{m - 1}\\) such that \\(a_{0} + \\cdot \\cdot \\cdot +a_{m - 1} = 0\\) . \n\n\\(\\P\\) Solution by direct construction. Let \\(s_{m}(n)\\) be the sum of the base- \\(m\\) digits of \\(n\\) , reduced modulo \\(m\\) . We now claim that \\(a_{k} = a_{s_{m}(k)}\\) works. It is clear that this extends the original sequence in a valid way. \n\nClaim — Fix \\(d\\) . Then the sum \n\n\\[\\sum_{k = 0}^{n - 1}a_{k}(k + 1)^{d}\\] \n\nis zero when \\(n = cm^{d + 1}\\) for any positive integer \\(c\\) . \n\nIf we prove this, then the problem is solved as there are infinitely many possible \\(c\\) . We have two proofs of this. \n\nProof of claim by expansion (Andrew Gu). We only need to show that each block of \\(m^{d + 1}\\) terms sums to zero. Each block takes the form \n\n\\[S = \\sum_{k = cm^{d + 1}}^{(c + 1)m^{d + 1} - 1}a_{s_{m}(k)}(k + 1)^{d}.\\] \n\nWe group terms based on the value of \\(s_{m}(k)\\) . The values of \\(k\\) in this sum are given by \n\n\\[\\left\\{cm^{d + 1} + \\sum_{i = 0}^{d}e_{i}m^{i}\\mid (e_{0},\\ldots ,e_{d})\\in \\{0,\\ldots ,m - 1\\}^{d + 1}\\right\\} .\\]\n\n\n\nIn this form, the sum of the base- \\(m\\) digits is \\(s_{m}(c) + e_{0} + \\dots +e_{d}\\) . Therefore we can write \n\n\\[S = \\sum_{i = 0}^{m - 1}a_{i}\\left(\\underbrace{\\sum_{(e_{0},\\dots,e_{d})\\in\\{0,\\dots,m - 1\\}^{d + 1}}}_{e_{0} + \\dots +e_{d}\\equiv i - s_{m}(c)}\\underbrace{\\left(cm^{d + 1} + 1 + \\sum_{j = 0}^{d}e_{j}m^{j}\\right)^{d}}_{(2)}\\right).\\] \n\nSince \\(\\sum a_{i} = 0\\) , it suffices to show that the value of the coefficient given by (1) is independent of \\(i\\) . \n\nExpand the term (2) with the multinomial theorem. Each monomial in the expansion is a product of terms \\(c\\) , \\(m\\) , \\(e_{j}\\) . Since the exponent is \\(d\\) , no monomial is divisible by the whole product \\(e_{0}e_{1}\\dots e_{d}\\) . Since the tuples \\((e_{0},\\ldots ,e_{d})\\) are uniformly distributed over all possible tuples when one or more coordinates are removed, that means that the sum of each monomial term is independent of \\(i\\) . We conclude that the sum (1) is independent of \\(i\\) as well. \\(\\square\\) \n\nProof of claim by Fourier transform. Let \\(\\omega \\neq 1\\) be an \\(m^{\\mathrm{th}}\\) root of unity. Then, define the operator \n\n\\[\\Delta_{a}^{(\\omega)}f(x) = \\sum_{i = 0}^{m - 1}\\omega^{i}f(x + ia).\\] \n\nBy looking at the leading coefficients, one can see that \\(\\Delta_{a}^{(\\omega)}\\) lowers the degree of a polynomial by at least \\(1\\) . As a consequence, by letting \\(f(x) = (x + 1)^{d}\\) we conclude that \n\n\\[\\sum_{k\\in [0,m_{e})}\\omega^{s_{m}(k)}(k + 1)^{d} = (\\Delta_{m^{e - 1}}^{(\\omega)}\\cdot \\cdot \\cdot \\Delta_{m}^{(\\omega)}\\Delta_{1}^{(\\omega)}f)(0) = 0.\\] \n\nSince \\(a_{1} + \\dots +a_{m} = 0\\) , by a discrete Fourier transform we may write \\(a_{i} = \\sum_{j = 1}^{m - 1}c_{j}e^{2\\pi ij / m}\\) for some \\(c_{1},\\ldots ,c_{m - 1}\\in \\mathbb{C}\\) . Therefore \n\n\\[\\sum_{k = 0}^{m^{e} - 1}a_{k}(k + 1)^{d} = \\sum_{j = 1}^{m - 1}c_{j}\\sum_{k = 0}^{m^{e} - 1}(e^{2\\pi ij / m})^{s_{m}(k)}(k + 1)^{d} = 0.\\] \n\nInductive solution. Define \\(m\\) and extend the sequence to \\(a_{m - 1}\\) as before. For \\(d\\geq 0\\) , let \\(\\Sigma_{d}(S)\\) denote \\(\\textstyle \\sum_{k\\in S}k^{d}\\) . Also, for \\(d\\geq 0\\) call a tuple of sets \\((S_{0},\\ldots ,S_{m - 1})\\) to be \\(d\\) - uniform if for all \\(0\\leq d^{\\prime}\\leq d\\) we have \\(\\Sigma_{d^{\\prime}}(S_{0}) = \\Sigma_{d^{\\prime}}(S_{1}) = \\dots = \\Sigma_{d^{\\prime}}(S_{m - 1})\\) \n\n## Lemma 1.1 \n\nSuppose \\((S_{0},\\ldots ,S_{m - 1})\\) is \\(d\\) - uniform. Then for all \\(0\\leq d^{\\prime}\\leq d + 1\\) , \\(x\\in \\mathbb{R}\\) , and \\(0\\leq i,j< m\\) , the quantity \\(\\Sigma_{d^{\\prime}}(S_{i} + x) - \\Sigma_{d^{\\prime}}(S_{j} + x)\\) is independent of \\(x\\) . \n\nProof. We may expand \n\n\\[\\Sigma_{d^{\\prime}}(S_{i} + x) = \\sum_{k = 0}^{d^{\\prime}}\\binom{d^{\\prime}}{k} x^{d^{\\prime} - k}\\Sigma_{k}(S_{i}).\\] \n\nBy \\(d\\) - uniformity, the terms with \\(k\\leq d\\) are independent of \\(i\\) and go away in the subtraction. The only term left is when \\(k = d^{\\prime} = d + 1\\) . However, this term is independent of \\(x\\) , as desired. \\(\\square\\)\n\n\n\n## Lemma 1.2 \n\nSuppose \\((S_{0},\\ldots ,S_{m - 1})\\) is a \\(d\\) - uniform partition of \\([0,n)\\) . Then there exists a \\((d + 1)\\) uniform partition \\((S_{0}^{\\prime},\\ldots ,S_{m - 1}^{\\prime})\\) of \\([0,mn)\\) such that \\(S_{i}\\subseteq S_{i}^{\\prime}\\) for all \\(i\\) \n\nProof. We let \\(S_{i}^{\\prime} = \\bigcup_{k = 0}^{m - 1}(S_{(i + k)\\bmod m} + kn)\\) . Then, for every \\(0\\leq d^{\\prime}\\leq d + 1\\) and \\(0\\leq i,j< m\\) , we have \n\n\\[\\Sigma_{d^{\\prime}}(S_{i}^{\\prime}) - \\Sigma_{d^{\\prime}}(S_{j}^{\\prime}) = \\sum_{k = 0}^{m - 1}\\Sigma_{d^{\\prime}}(S_{(i + k)\\bmod m} + kn) - \\Sigma_{d^{\\prime}}(S_{(j + k)\\bmod m} + kn)\\] \\[\\qquad = \\sum_{k = 0}^{m - 1}\\Sigma_{d^{\\prime}}(S_{(i + k)\\bmod m}) - \\Sigma_{d^{\\prime}}(S_{(j + k)\\bmod m})\\] \\[\\qquad = 0.\\] \n\nConsider the 0- uniform partition of \\([0,m)\\) given by \\((\\{0\\} ,\\{1\\} ,\\ldots ,\\{m - 1\\})\\) . By repeatedly applying Lemma 1.2, we get \\(d\\) - uniform partitions \\((S_{0}^{(d)},\\ldots ,S_{m - 1}^{(d)})\\) of \\([0,m^{d + 1})\\) such that \\(S_{i}^{(d)}\\subseteq S_{i}^{(d + 1)}\\) for all \\(d\\) and \\(i\\) . For every \\(k\\) , let \\(i\\) be the unique index such that \\(k\\in S_{i}^{(d)}\\) for some \\(d\\) , and let \\(a_{k} = a_{i}\\) . (This doesn't redefine \\(a_{0}\\) , ..., \\(a_{m - 1}\\) as for \\(k< m\\) , we have \\(k\\in S_{k}^{(0)}\\) .) Then, for each \\(e\\geq d\\) , we find that \n\n\\[\\sum_{k = 0}^{m^{e + 1} - 1}a_{k}(k + 1)^{d} = \\sum_{i = 0}^{m - 1}a_{i}\\sum_{k\\in S_{i}^{(e)}}(k + 1)^{d} = \\sum_{i = 0}^{m - 1}a_{i}\\sum_{j = 1}^{d}\\binom{d}{j}\\Sigma_{j}(S_{i}^{(e)}) = 0.\\] \n\nRemark. The construction here is essentially the same as the sum- of- digits construction (in fact it would be exactly the same if we replace \\((i + k)\\) mod \\(m\\) in the proof of Lemma 1.2 with \\((i - k)\\) mod \\(m\\) ). However, it hints at some flexibility in the construction which is less apparent with other approaches. For example, if \\(G\\) is any transitive subgroup of permutations on \\([0,m)\\) and \\(\\pi_{0} = \\mathrm{id}\\) , \\(\\pi_{1},\\ldots ,\\pi_{|G| - 1}\\) is an enumeration of the elements of \\(G\\) , one can turn a \\(d\\) - uniform partition \\((S_{0},\\ldots ,S_{m - 1})\\) of \\([0,n)\\) into a \\((d + 1)\\) - uniform partition \\((S_{0}^{\\prime},\\ldots ,S_{m - 1}^{\\prime})\\) of \\([0,|G|n)\\) by letting \\(S_{i}^{\\prime} = \\bigcup_{k = 0}^{|G| - 1}(S_{\\pi_{k}(i)} + kn)\\) . Here we used the special case \\(\\pi_{k}(i) = (i + k)\\) mod \\(m\\) ; it may also be natural to let \\(G\\) be the set of all \\(m!\\) permutations. \n\nRemark. The construction in the solution has appeared a number of times in the literature; see \n\n- D. H. Lehmer, The Tarry-Escott problem, Scripta Math. 13, 37-41, 1947; \n\n- E. Prouhet, Mémoire sur quelques relations entre les puissances des nombres, C. R. Acad. Sci. Paris 33, 225, 1851; \n\n- E. M. Wright, Equal sums of like powers, Proc. Edinburgh Math. Soc. 2nd series 8, 138-142, 1949; \n\n- E. M. Wright, Prouhet's 1851 solution of the Tarry-Escott problem of 1910, Amer. Math. Monthly 66, 199-201, 1959.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "3. ", "solution_match": "## \\(\\S 1.3\\) TSTST 2024/3, proposed by Daniel Zhu \n"}} -{"year": "2024", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(ABCD\\) be a quadrilateral inscribed in a circle with center \\(O\\) and \\(E\\) be the intersection of segments \\(AC\\) and \\(BD\\) . Let \\(\\omega_{1}\\) be the circumcircle of \\(ADE\\) and \\(\\omega_{2}\\) be the circumcircle of \\(BCE\\) . The tangent to \\(\\omega_{1}\\) at \\(A\\) and the tangent to \\(\\omega_{2}\\) at \\(C\\) meet at \\(P\\) . The tangent to \\(\\omega_{1}\\) at \\(D\\) and the tangent to \\(\\omega_{2}\\) at \\(B\\) meet at \\(Q\\) . Show that \\(OP = OQ\\) .", "solution": "\\(\\P\\) Solution 1. Let \\(R = \\overline{AD} \\cap \\overline{BC}\\) (possibly at infinity, but we'll see it's an Euclidean point later). \n\n![](data:image/jpeg;base64,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)\n \n\nClaim — \\(ACRP\\) is an isosceles trapezoid with \\(\\overline{AC} \\parallel \\overline{PR}\\) . Consequently, \\(R\\) is an Euclidean point, and \\(OP = OR\\) . \n\nProof. It is equivalent to show that \\(\\triangle PAC \\cong \\triangle RCA\\) , or without using \\(R\\) , that \n\n\\[\\angle PAC = \\angle ACR = \\angle ACB, \\quad \\text{and} \\quad \\angle PCA = \\angle CAR = \\angle CAD.\\] \n\nIndeed, we have \n\n\\[\\angle PAC = \\angle ADE = \\angle ADB = \\angle ACB\\] \n\nand likewise \\(\\angle PCA = \\angle CAD\\) , as requested. \n\nSimilarly \\(OQ = OR\\) , so we're done.\n\n\n\nSolution 2. \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(PA\\) intersect (ABCD) again at \\(A^{\\prime}\\) and let \\(QB\\) intersect (ABCD) again at \\(B^{\\prime}\\) The problem follows from the following claim. \n\nClaim — \\(OA^{\\prime}PC \\cong ODQB^{\\prime}\\) . \n\nProof. We use directed angles mod \\(\\pi\\) . Note that \n\n\\[\\angle ODQ = \\angle ODA + \\angle ADQ = \\angle DAO + \\angle PAD = \\angle PAO = \\angle OA^{\\prime}P,\\] \n\nand similarly \\(\\angle OCP = \\angle OB^{\\prime}Q\\) . Furthermore, \n\n\\[\\angle A^{\\prime}AD = \\angle AED = \\angle CEB = \\angle CBB^{\\prime},\\] \n\nso \\(A^{\\prime}D = CB^{\\prime}\\) , i.e. \\(A^{\\prime}CDB^{\\prime}\\) is an isosceles trapezoid. This means \\(\\angle A^{\\prime}OC = \\angle DOB^{\\prime}\\) . Combined with \\(OA^{\\prime} = OB^{\\prime} = OD = DC\\) , these three angle equalities imply the congruency. \\(\\square\\) \n\nSolution 3 using complex numbers (Noah Walsh). Use complex numbers with (ABCD) as the unit circle. Because \\(PA\\) is tangent to (ADE), we have \\(\\angle PAC = \\angle ADB = \\frac{1}{2}\\angle AOB\\) , and therefore \n\n\\[\\frac{\\frac{p - a}{c - a}}{\\frac{p - a - 1}{c - a - 1}} = \\frac{a}{b\\] \\[\\Rightarrow b\\frac{p - a}{c - a} = a\\frac{ac\\overline{p} - c}{a - c\\] \\[\\Rightarrow bp + a^2 c\\overline{p} = ab + ac.\\] \n\nThe condition that \\(PC\\) is tangent to (BCE) can be expressed by swapping \\(a\\) with \\(c\\) and \\(b\\) with \\(d\\) , so we get \n\n\\[b p + a^{2}c\\overline{{p}} = a b + a c\\] \\[d p + a c^{2}\\overline{{p}} = c d + a c\\] \\[\\Rightarrow p(a d - b c) = a c d + a^{2}c - a b c - a c^{2}\\] \\[\\Rightarrow p = \\frac{a c(a + d - b - c)}{a d - b c}.\\]\n\n\n\nSimilarly, \n\n\\[q = \\frac{bd(a + d - b - c)}{ad - bc}.\\] \n\nIt is now obvious that \\(p\\) and \\(q\\) have the same magnitude. \n\nRemark. One possible trick one might use to compute \\(p\\) is to compute the coordinates of the points \\(A^{\\prime},C^{\\prime}\\in (ABCD)\\) such that \\(A A^{\\prime}\\) and \\(C C^{\\prime}\\) are tangent to \\((A D E)\\) and \\((B C E)\\) respectively, and then use the chords intersection formula. \n\nIf one does this, one gets \\(a^{\\prime} = a c / b\\) and \\(c^{\\prime} = a c / d\\) . At this point, one can simply recognize that \\(A^{\\prime}\\) and \\(C^{\\prime}\\) are the reflection of \\(B\\) and \\(D\\) over the perpendicular bisector of \\(A C\\) , reflect everything over said perpendicular bisector, and suddenly realize that one has solved the problem synthetically. \n\n\\(\\boxed{ \\begin{array}{r l} \\end{array} }\\) Solution 4 by linearity (Noah Walsh). If \\(A E = D E\\) the problem is true by symmetry, so we assume \\(A E\\neq D E\\) \n\nFix \\(A\\) \\(D\\) , and \\(E\\) , and move \\(B\\) linearly along line \\(D E\\) . By e.g. Reim's theorem, \\(C\\) moves linearly as well. \n\nHow do we compute \\(O\\) ? It lies on the perpendicular bisector of \\(A D\\) , which is fixed. It also lies on the perpendicular bisector of \\(B C\\) , which is parallel to a fixed line, and passes through the midpoint of \\(B C\\) , which moves linearly. Therefore, \\(O\\) moves linearly as well. \n\nPoint \\(P\\) is the intersection of the tangent to \\((A D E)\\) at \\(A\\) , which is fixed, and the tangent to \\((B C E)\\) at \\(C\\) , which moves linearly, and therefore is linear. Similarly, \\(Q\\) moves linearly. Therefore, to verify that \\(\\overrightarrow{O P}\\times \\overrightarrow{O P} = \\overrightarrow{O Q}\\times \\overrightarrow{O Q}\\) , it suffices to check three cases. \n\nThe two cases where \\(E A = E B\\) are trivial by symmetry. We can also check that \\(\\lim_{B\\to \\infty_{D E}}\\frac{\\overrightarrow{O P}\\times\\overrightarrow{O P}}{\\overrightarrow{O Q}\\times\\overrightarrow{O Q}} = 1\\) \n\nIndeed, obviously \\(\\lim_{B\\to \\infty_{D E}}\\frac{|O P|}{|A P|} = \\lim_{B\\to \\infty_{D E}}\\frac{|O Q|}{|D Q|} = 1\\) . In addition, \n\n\\[\\frac{d A P}{d D Q} = \\frac{d A P}{d A C}\\times \\frac{d A C}{d B D}\\times \\frac{d B D}{d B Q}\\] \\[\\qquad = \\frac{\\sin\\angle A C P}{\\sin\\angle A P C}\\times \\frac{d E C}{d E B}\\times \\frac{\\sin\\angle B Q D}{\\sin\\angle B D Q}\\] \\[\\qquad = \\frac{\\sin\\angle A C P}{\\sin(\\angle A C P + \\angle C A P)}\\times \\frac{\\sin\\angle E B C}{\\sin\\angle E C B}\\times \\frac{\\sin(\\angle B D Q + \\angle D B Q)}{\\sin\\angle B D Q}\\] \\[\\qquad = \\frac{\\sin\\angle B C E}{\\sin(\\angle B C E + \\angle A D E)}\\times \\frac{\\sin\\angle D A E}{\\sin\\angle A D E}\\times \\frac{\\sin(\\angle D A E + \\angle E C B)}{\\sin\\angle E A D}\\] \\[\\qquad = \\frac{\\sin(\\angle D A E + \\angle E C B)}{\\sin(\\angle B C E + \\angle A D E)}\\] \\[\\qquad = 1.\\] \n\nIt follows that \\(\\lim_{B\\to \\infty_{D E}}\\frac{|A P|}{|D Q|} = 1\\) . Therefore, \n\n\\[\\lim_{B\\to \\infty_{D E}}\\frac{|O P|}{|O Q|} = \\lim_{B\\to \\infty_{D E}}\\frac{|O P|}{|A P|}\\times \\lim_{B\\to \\infty_{D E}}\\frac{|A P|}{|D Q|}\\times \\lim_{B\\to \\infty_{D E}}\\frac{|D Q|}{|O Q|}\\] \\[\\qquad = 1,\\] \n\nwhich completes the \\(B\\to \\infty_{D E}\\) case, and we are done.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) TSTST 2024/4, proposed by Merlijn Staps \n"}} +{"year": "2024", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(ABCD\\) be a quadrilateral inscribed in a circle with center \\(O\\) and \\(E\\) be the intersection of segments \\(AC\\) and \\(BD\\) . Let \\(\\omega_{1}\\) be the circumcircle of \\(ADE\\) and \\(\\omega_{2}\\) be the circumcircle of \\(BCE\\) . The tangent to \\(\\omega_{1}\\) at \\(A\\) and the tangent to \\(\\omega_{2}\\) at \\(C\\) meet at \\(P\\) . The tangent to \\(\\omega_{1}\\) at \\(D\\) and the tangent to \\(\\omega_{2}\\) at \\(B\\) meet at \\(Q\\) . Show that \\(OP = OQ\\) .", "solution": "\\(\\P\\) Solution 1. Let \\(R = \\overline{AD} \\cap \\overline{BC}\\) (possibly at infinity, but we'll see it's an Euclidean point later). \n\n![md5:ad7baa2cae83acd3a9de6d152e0e8d78](ad7baa2cae83acd3a9de6d152e0e8d78.jpeg)\n \n\nClaim — \\(ACRP\\) is an isosceles trapezoid with \\(\\overline{AC} \\parallel \\overline{PR}\\) . Consequently, \\(R\\) is an Euclidean point, and \\(OP = OR\\) . \n\nProof. It is equivalent to show that \\(\\triangle PAC \\cong \\triangle RCA\\) , or without using \\(R\\) , that \n\n\\[\\angle PAC = \\angle ACR = \\angle ACB, \\quad \\text{and} \\quad \\angle PCA = \\angle CAR = \\angle CAD.\\] \n\nIndeed, we have \n\n\\[\\angle PAC = \\angle ADE = \\angle ADB = \\angle ACB\\] \n\nand likewise \\(\\angle PCA = \\angle CAD\\) , as requested. \n\nSimilarly \\(OQ = OR\\) , so we're done.\n\n\n\nSolution 2. \n\n![md5:4fb7ae6bcb0b6ec9f9729e819a85250b](4fb7ae6bcb0b6ec9f9729e819a85250b.jpeg)\n \n\nLet \\(PA\\) intersect (ABCD) again at \\(A^{\\prime}\\) and let \\(QB\\) intersect (ABCD) again at \\(B^{\\prime}\\) The problem follows from the following claim. \n\nClaim — \\(OA^{\\prime}PC \\cong ODQB^{\\prime}\\) . \n\nProof. We use directed angles mod \\(\\pi\\) . Note that \n\n\\[\\angle ODQ = \\angle ODA + \\angle ADQ = \\angle DAO + \\angle PAD = \\angle PAO = \\angle OA^{\\prime}P,\\] \n\nand similarly \\(\\angle OCP = \\angle OB^{\\prime}Q\\) . Furthermore, \n\n\\[\\angle A^{\\prime}AD = \\angle AED = \\angle CEB = \\angle CBB^{\\prime},\\] \n\nso \\(A^{\\prime}D = CB^{\\prime}\\) , i.e. \\(A^{\\prime}CDB^{\\prime}\\) is an isosceles trapezoid. This means \\(\\angle A^{\\prime}OC = \\angle DOB^{\\prime}\\) . Combined with \\(OA^{\\prime} = OB^{\\prime} = OD = DC\\) , these three angle equalities imply the congruency. \\(\\square\\) \n\nSolution 3 using complex numbers (Noah Walsh). Use complex numbers with (ABCD) as the unit circle. Because \\(PA\\) is tangent to (ADE), we have \\(\\angle PAC = \\angle ADB = \\frac{1}{2}\\angle AOB\\) , and therefore \n\n\\[\\frac{\\frac{p - a}{c - a}}{\\frac{p - a - 1}{c - a - 1}} = \\frac{a}{b\\] \\[\\Rightarrow b\\frac{p - a}{c - a} = a\\frac{ac\\overline{p} - c}{a - c\\] \\[\\Rightarrow bp + a^2 c\\overline{p} = ab + ac.\\] \n\nThe condition that \\(PC\\) is tangent to (BCE) can be expressed by swapping \\(a\\) with \\(c\\) and \\(b\\) with \\(d\\) , so we get \n\n\\[b p + a^{2}c\\overline{{p}} = a b + a c\\] \\[d p + a c^{2}\\overline{{p}} = c d + a c\\] \\[\\Rightarrow p(a d - b c) = a c d + a^{2}c - a b c - a c^{2}\\] \\[\\Rightarrow p = \\frac{a c(a + d - b - c)}{a d - b c}.\\]\n\n\n\nSimilarly, \n\n\\[q = \\frac{bd(a + d - b - c)}{ad - bc}.\\] \n\nIt is now obvious that \\(p\\) and \\(q\\) have the same magnitude. \n\nRemark. One possible trick one might use to compute \\(p\\) is to compute the coordinates of the points \\(A^{\\prime},C^{\\prime}\\in (ABCD)\\) such that \\(A A^{\\prime}\\) and \\(C C^{\\prime}\\) are tangent to \\((A D E)\\) and \\((B C E)\\) respectively, and then use the chords intersection formula. \n\nIf one does this, one gets \\(a^{\\prime} = a c / b\\) and \\(c^{\\prime} = a c / d\\) . At this point, one can simply recognize that \\(A^{\\prime}\\) and \\(C^{\\prime}\\) are the reflection of \\(B\\) and \\(D\\) over the perpendicular bisector of \\(A C\\) , reflect everything over said perpendicular bisector, and suddenly realize that one has solved the problem synthetically. \n\n\\(\\boxed{ \\begin{array}{r l} \\end{array} }\\) Solution 4 by linearity (Noah Walsh). If \\(A E = D E\\) the problem is true by symmetry, so we assume \\(A E\\neq D E\\) \n\nFix \\(A\\) \\(D\\) , and \\(E\\) , and move \\(B\\) linearly along line \\(D E\\) . By e.g. Reim's theorem, \\(C\\) moves linearly as well. \n\nHow do we compute \\(O\\) ? It lies on the perpendicular bisector of \\(A D\\) , which is fixed. It also lies on the perpendicular bisector of \\(B C\\) , which is parallel to a fixed line, and passes through the midpoint of \\(B C\\) , which moves linearly. Therefore, \\(O\\) moves linearly as well. \n\nPoint \\(P\\) is the intersection of the tangent to \\((A D E)\\) at \\(A\\) , which is fixed, and the tangent to \\((B C E)\\) at \\(C\\) , which moves linearly, and therefore is linear. Similarly, \\(Q\\) moves linearly. Therefore, to verify that \\(\\overrightarrow{O P}\\times \\overrightarrow{O P} = \\overrightarrow{O Q}\\times \\overrightarrow{O Q}\\) , it suffices to check three cases. \n\nThe two cases where \\(E A = E B\\) are trivial by symmetry. We can also check that \\(\\lim_{B\\to \\infty_{D E}}\\frac{\\overrightarrow{O P}\\times\\overrightarrow{O P}}{\\overrightarrow{O Q}\\times\\overrightarrow{O Q}} = 1\\) \n\nIndeed, obviously \\(\\lim_{B\\to \\infty_{D E}}\\frac{|O P|}{|A P|} = \\lim_{B\\to \\infty_{D E}}\\frac{|O Q|}{|D Q|} = 1\\) . In addition, \n\n\\[\\frac{d A P}{d D Q} = \\frac{d A P}{d A C}\\times \\frac{d A C}{d B D}\\times \\frac{d B D}{d B Q}\\] \\[\\qquad = \\frac{\\sin\\angle A C P}{\\sin\\angle A P C}\\times \\frac{d E C}{d E B}\\times \\frac{\\sin\\angle B Q D}{\\sin\\angle B D Q}\\] \\[\\qquad = \\frac{\\sin\\angle A C P}{\\sin(\\angle A C P + \\angle C A P)}\\times \\frac{\\sin\\angle E B C}{\\sin\\angle E C B}\\times \\frac{\\sin(\\angle B D Q + \\angle D B Q)}{\\sin\\angle B D Q}\\] \\[\\qquad = \\frac{\\sin\\angle B C E}{\\sin(\\angle B C E + \\angle A D E)}\\times \\frac{\\sin\\angle D A E}{\\sin\\angle A D E}\\times \\frac{\\sin(\\angle D A E + \\angle E C B)}{\\sin\\angle E A D}\\] \\[\\qquad = \\frac{\\sin(\\angle D A E + \\angle E C B)}{\\sin(\\angle B C E + \\angle A D E)}\\] \\[\\qquad = 1.\\] \n\nIt follows that \\(\\lim_{B\\to \\infty_{D E}}\\frac{|A P|}{|D Q|} = 1\\) . Therefore, \n\n\\[\\lim_{B\\to \\infty_{D E}}\\frac{|O P|}{|O Q|} = \\lim_{B\\to \\infty_{D E}}\\frac{|O P|}{|A P|}\\times \\lim_{B\\to \\infty_{D E}}\\frac{|A P|}{|D Q|}\\times \\lim_{B\\to \\infty_{D E}}\\frac{|D Q|}{|O Q|}\\] \\[\\qquad = 1,\\] \n\nwhich completes the \\(B\\to \\infty_{D E}\\) case, and we are done.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "4. ", "solution_match": "## \\(\\S 2.1\\) TSTST 2024/4, proposed by Merlijn Staps \n"}} {"year": "2024", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "USA_TSTST", "problem": "For a positive integer \\(k\\) , let \\(s(k)\\) denote the number of 1s in the binary representation of \\(k\\) . Prove that for any positive integer \\(n\\) , \n\n\\[\\sum_{i = 1}^{n}(-1)^{s(3i)} > 0.\\]", "solution": "\\(\\P\\) Solution 1. Given a set of positive integers \\(S\\) , define \n\n\\[f(S) = \\sum_{k\\in S}(-1)^{s(k)}.\\] \n\nWe also define \n\n\\[S_{\\mathrm{even}} = \\{k\\in S\\mid k\\mathrm{~is~even}\\}\\] \\[S_{\\mathrm{odd}} = \\{k\\in S\\mid k\\mathrm{~is~odd}\\}\\] \n\nand apply functions on sets pointwise, e.g. \n\n\\[\\frac{S - 1}{2} = \\left\\{\\frac{k - 1}{2}\\mid k\\in S\\right\\} .\\] \n\nThe problem follows from the first bullet of the following claim. \n\nClaim — For every positive integer \\(n\\) , \n\n\\[f(\\{3,6,\\ldots ,3n\\}) > 0\\] \\[f(\\{1,4,\\ldots ,3n - 2\\})< 0\\] \\[f(\\{2,5,\\ldots ,3n - 1\\})\\leq 0\\] \n\nProof. Induct on \\(n\\) . The base case \\(n = 1\\) is easy to check. \n\nFor \\(S = \\{3,6,\\ldots ,3n\\}\\) \n\n\\[f(S) = f(S_{\\mathrm{even}}) + f(S_{\\mathrm{odd}})\\] \\[\\qquad = f(S_{\\mathrm{even}} / 2) - f((S_{\\mathrm{odd}} - 1) / 2) > 0\\] \n\nsince the elements of \\(S_{\\mathrm{even}} / 2\\) are 0 mod 3 and the elements of \\((S_{\\mathrm{odd}} - 1) / 2\\) are 1 mod 3. \n\nFor \\(S = \\{1,4,\\ldots ,3n - 2\\}\\) \n\n\\[f(S) = f(S_{\\mathrm{even}}) + f(S_{\\mathrm{odd}})\\] \\[\\qquad = f(S_{\\mathrm{even}} / 2) - f((S_{\\mathrm{odd}} - 1) / 2)< 0\\] \n\nsince the elements of \\(S_{\\mathrm{even}} / 2\\) are 2 mod 3 and the elements of \\((S_{\\mathrm{odd}} - 1) / 2\\) are 0 mod 3. (Note that \\((S_{\\mathrm{odd}} - 1) / 2\\) has multiples of 3 starting at 0 rather than 3, but this is fine because \\(f(\\{3,\\ldots ,3n\\}) > 0\\) clearly implies \\(f(\\{0,\\ldots ,3n\\}) > 0\\) as well.)\n\n\n\n- For \\(S = \\{2, 5, \\ldots , 3n - 1\\}\\) , there are two cases. \n\n- Case 1: \\(2^{2k - 1} \\leq 3n - 1 < 2^{2k}\\) . Define \n\n\\[S_{\\mathrm{small}} = \\{s \\in S \\mid s < 2^{2k - 1}\\}\\] \\[S_{\\mathrm{big}} = \\{s \\in S \\mid s \\geq 2^{2k - 1}\\} .\\] \n\nThen \n\n\\[f(S) = f(S_{\\mathrm{small}}) + f(S_{\\mathrm{big}})\\] \\[\\qquad = f(S_{\\mathrm{small}}) - f(S_{\\mathrm{big}} - 2^{2k - 1})< 0\\] \n\nsince \\(S_{\\mathrm{big}} - 2^{2k - 1} = \\{0, \\ldots , 3n - 1 - 2^{2k - 1}\\}\\) consists of a prefix of the 0 (mod 3) positive integers in addition to 0. \n\n- Case 2: \\(2^{2k} < 3n - 1 < 2^{2k + 1}\\) . Note that if \\(a + b = 2^{2k + 1} - 1\\) , then \\(f(\\{a, b\\}) = 0\\) . If we use this to cancel out all pairs of numbers in \\(S\\) which add to \\(2^{2k + 1} - 1\\) , then we find \n\n\\[f(S) = f(\\{2, 5, \\ldots , 2^{2k + 1} - 3n - 2\\}) \\leq 0.\\] \n\nThis completes the induction. \n\n\\(\\P\\) Solution 2. Let \n\n\\[f(n) = \\sum_{i = 0}^{n}(-1)^{s(3i)},\\qquad g(n) = \\sum_{i = 0}^{n}(-1)^{s(i)}.\\] \n\nNote that the problem is equivalent to showing \\(f(n) \\geq 2\\) for all \\(n \\geq 1\\) . \n\n## Lemma \n\n\\(|g(n)| \\leq 1\\) for all \\(n\\) . \n\nProof. Note that \\(s(2i + 1) = - s(2i)\\) , so \\(g(2n + 1) = 0\\) and \\(g(2n) = (- 1)^{s(2n)}\\) by pairing terms. \\(\\square\\) \n\nWe will now prove that \\(f(n) \\geq 2\\) for all \\(n \\geq 1\\) by strong induction. We can manually verify \\(n \\leq 5\\) as a base case. For the inductive step, let \\(m = \\left\\lfloor \\frac{3n - 3}{4} \\right\\rfloor\\) so that \\(4m + 3 \\leq n\\) . Let \\(S = \\{0, 3, \\ldots , 3n\\}\\) . Given \\(0 \\leq k \\leq m\\) , we can append two digits to the binary representation of \\(k\\) (equivalently, \\(4k + r\\) for \\(0 \\leq r < 4\\) ) to get a number in \\(S\\) . If \\(k\\) is a multiple of 3, we can append 00 or 11. Otherwise, we can append one of 01 or 10 depending on \\(k\\) (mod 3). Almost all elements of \\(S\\) can be covered uniquely in this way, except for at most one missing element. Note that appending 00 or 11 will preserve the parity of the number of 1s while appending 01 or 10 will change the parity. Therefore we can write \n\n\\[f(n) \\geq 2 \\sum_{\\substack{0 \\leq i \\leq m \\\\ i \\equiv 0 \\pmod{3}}} (-1)^{s(i)} - \\sum_{\\substack{0 \\leq i \\leq m \\\\ i \\not\\equiv 0 \\pmod{3}}} (-1)^{s(i)} - 1\\] \n\n(the \\(- 1\\) is to account for the possible missing element). Let \n\n\\[x = \\sum_{\\substack{0 \\leq i \\leq m \\\\ i \\equiv 0 \\pmod{3}}} (-1)^{s(i)}, \\qquad y = \\sum_{\\substack{0 \\leq i \\leq m \\\\ i \\not\\equiv 0 \\pmod{3}}} (-1)^{s(i)}.\\]\n\n\n\nAccording to the lemma, \\(|x + y| \\leq 1\\) . By the inductive hypothesis, \\(x \\geq 2\\) . Therefore \n\n\\[f(n) \\geq 2x - y - 1 = 3x - (x + y) - 1 \\geq 6 - 1 - 1 > 2\\] \n\nas desired. \n\n\\(\\P\\) Solution 3. For \\(r \\in \\{0,1,2\\}\\) , define \n\n\\[S_{r}(a,b) = \\sum_{\\substack{i\\in [a,b] \\\\ i\\equiv r\\bmod 3}}(-1)^{s(i)},\\] \n\nwhere \\(s(i)\\) denotes the number of 1s in \\(i\\) 's binary representation. The problem is equivalent to proving \\(S_{0}(0,3n + 1) > 1\\) for all \\(n \\geq 1\\) . \n\n## Lemma \n\nFor any integer \\(d\\) , \\(S_{r}(0,2^{d})\\) is given by: \n\n\\[d \\mid S_{0}(0,2^{d}) S_{1}(0,2^{d}) S_{2}(0,2^{d})\\] \\[\\mathrm{d o d d} 3^{\\frac{d - 1}{2}} -3^{\\frac{d - 1}{2}} 0\\] \\[\\mathrm{d e v e n} 2\\cdot 3^{\\frac{d - 2}{2}} -3^{\\frac{d - 2}{2}} -3^{\\frac{d - 2}{3}}\\] \n\nProof. Induction with \\(d \\leq 2\\) being clear. For the inductive step, observe that \n\n\\[S_{0}(0,2^{d}) = S_{0}(0,2^{d - 1}) + S_{0}(2^{d - 1},2^{d}) = S_{0}(0,2^{d - 1}) - S_{2^{d - 1}}(0,2^{d - 1})\\] \\[S_{1}(0,2^{d}) = S_{1}(0,2^{d - 1}) + S_{1}(2^{d - 1},2^{d}) = S_{1}(0,2^{d - 1}) - S_{1 + 2^{d - 1}}(0,2^{d - 1})\\] \\[S_{2}(0,2^{d}) = S_{2}(0,2^{d - 1}) + S_{2}(2^{d - 1},2^{d}) = S_{2}(0,2^{d - 1}) - S_{2 + 2^{d - 1}}(0,2^{d - 1}).\\] \n\nUsing \n\n\\[2^{d - 1} \\equiv \\begin{cases} 1 \\bmod 3 & d \\text{odd} \\\\ 2 \\bmod 3 & d \\text{even} \\end{cases}\\] \n\nand applying the inductive hypothesis gives the desired result. \n\nThis proves the problem for powers of 2. To prove the problem for general \\(n\\) , split \\([0,3n + 1)\\) into blocks \n\n\\[[0,3n + 1) = [0,2^{d_{1}})\\sqcup [2^{d_{1}},2^{d_{1}} + 2^{d_{2}})\\sqcup [2^{d_{1}} + 2^{d_{2}},2^{d_{1}} + 2^{d_{2}} + 2^{d_{3}}),\\dots\\] \n\nwhose lengths are decreasing powers of 2. By the lemma, \n\n\\[S_{0}(0,2^{d_{1}}) \\geq \\begin{cases} 3^{\\frac{d_{1} - 1}{2}} & d_{1} \\text{odd} \\\\ 2 \\cdot 3^{\\frac{d_{1} - 2}{2}} & d_{1} \\text{even} \\end{cases}\\] \n\n\\[S_{0}(2^{d_{1}},2^{d_{1}} + 2^{d_{2}}) = -S_{2^{d_{1}}}(0,2^{d_{2}}) \\geq 0\\] \n\nand for all \\(i\\) , \n\n\\[S_{0}(2^{d_{1}} + \\dots +2^{d_{i - 1}},2^{d_{1}} + \\dots +2^{d_{i}}) = (-1)^{i - 1}S_{2^{d_{1}} + \\dots +2^{d_{i - 1}}}(0,2^{d_{i}})\\] \\[\\qquad \\geq \\begin{cases} -2 \\cdot 3^{\\frac{d_{i} - 2}{2}} & d_{i} \\text{even} \\\\ -1 \\cdot 3^{\\frac{d_{i} - 1}{2}} & d_{i} \\text{odd}. \\end{cases}\\]\n\n\n\nLet \\(D = d_{1}\\) ; assume \\(D \\geq 4\\) since checking \\(D \\in \\{1, 2, 3\\}\\) is easy. Summing over all intervals gives \n\n\\[S_{0}(0,3n + 1) \\geq 2 \\cdot 3^{\\frac{D - 2}{2}} + 0 - \\left(2 \\cdot 3^{\\frac{D - 4}{2}} + 3^{\\frac{D - 4}{2}} + 2 \\cdot 3^{\\frac{D - 6}{2}} + 3^{\\frac{D - 6}{2}} + \\dots\\right) = 3^{\\frac{D - 2}{2}} > 1\\] \n\nwhen \\(D\\) is even, and \n\n\\[S_{0}(0,3n + 1) \\geq 3^{\\frac{D - 1}{2}} + 0 - \\left(3^{\\frac{D - 3}{2}} + 2 \\cdot 3^{\\frac{D - 5}{2}} + 3^{\\frac{D - 5}{2}} + 2 \\cdot 3^{\\frac{D - 7}{2}} + \\dots\\right) = \\frac{1}{2} \\cdot 3^{\\frac{D - 3}{2}} > 1\\] \n\nwhen \\(D\\) is odd. \n\nRemark. The following Python code calculates \\(\\sum_{i = 0}^{n}(- 1)^{s(3i)}\\) in \\(O(\\log n)\\) time using digit DP (and in \\(O(K \\log n)\\) time if 3 is replaced by \\(K\\) ): \n\nimport functools \n\nK = 3 \n\ndef sgn(n: int) - > int: \n\nreturn - 1 if bin(n).count('1') % 2 else 1 \n\n@functools.lru_cache(maxsize=None) \n\ndef f(n: int) - > list[int]: \n\n# Returns an array of size K where arr[i] = sum of sgn(j) over 0 \n\n<= j <= n with j % K = i \n\nans = [0] * K \n\nif n == 0: \n\nans[0] += 1 \n\nreturn ans \n\nx = f(n // 2) \n\nfor i in range(K): \n\nans[2 * i % K] += x[i] \n\nans[(2 * i + 1) % K] -= x[i] \n\nif n % 2 == 0: \n\nans[(n + 1) % K] -= sgn(n + 1) \n\nreturn ans \n\nRemark. Define \n\n\\[f(n) = \\sum_{i = 0}^{\\lfloor n / 3\\rfloor}(-1)^{s(3i)}.\\] \n\nThen there exist constants \\(0 < c_{1} < c_{2}\\) such that \n\n\\[\\lim_{n\\to \\infty}\\inf_{n\\log_{4}(3)}\\frac{f(n)}{n^{\\log_{4}(3)}} = c_{1},\\qquad \\lim_{n\\to \\infty}\\sup_{n^{\\log_{4}(3)}}\\frac{f(n)}{n^{\\log_{4}(3)}} = c_{2}.\\] \n\nThe upper constant is \\(c_{2} = \\frac{2}{3}\\) , achieved when \\(n\\) is a power of 4.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "5. ", "solution_match": "## \\(\\S 2.2\\) TSTST 2024/5, proposed by Holden Mui \n"}} {"year": "2024", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "USA_TSTST", "problem": "Determine whether there exists a function \\(f\\colon \\mathbb{Z}_{>0}\\to \\mathbb{Z}_{>0}\\) such that for all positive integers \\(m\\) and \\(n\\) , \n\n\\[f(m + n f(m)) = f(n)^{m} + 2024!\\cdot m.\\]", "solution": "The answer is no. Let \\(P(m,n)\\) denote the given FE. \n\n\\(\\P\\) Solution 1 (Gopal Goel). Suppose there was a function \\(f\\) , and let \\(r = f(1)\\) . Note that \\(P(1,n)\\) gives \n\n\\[f(1 + r n) = f(n) + 2024!.\\] \n\nIterating this result gives \n\n\\[f(1 + r + \\dots +r^{k}) = r + k\\cdot 2024!\\] \n\nfor all \\(k\\in \\mathbb{Z}_{\\geq 0}\\) . If \\(r = 1\\) , this implies \\(f(k + 1) = 1 + k\\cdot 2024!\\) , which isn't a valid solution, so \\(r\\geq 2\\) \n\nLet \\(m = 1 + r + \\dots +r^{r^{2}(r - 1)}\\) . Note that \n\n\\[1 + r + \\dots +r^{k} = m + n f(m)\\iff \\frac{r^{k + 1} - r^{r^{2}(r - 1) + 1}}{r - 1} = n[r + r^{2}(r - 1)2024!].\\] \n\nThis has a positive integer solution for \\(n\\) as long as \\(k\\) is sufficiently large in terms of \\(r\\) and \n\n\\[k\\equiv r^{2}(r - 1)\\pmod {\\phi (1 + r(r - 1)\\cdot 2024!)}\\] \n\nFor such \\(k\\) , \\(P(m,n)\\) implies \n\n\\[r + k\\cdot 2024! = f(n)^{m} + 2024!\\cdot m.\\] \n\nIn particular, \\(r + (k - m)\\cdot 2024!\\) is a perfect \\(m\\) th power. This has to be true for all \\(k\\) sufficiently large in an arithmetic progression, which is clearly impossible, as desired. \n\n\\(\\P\\) Solution 2 (Carl Schildkraut). As in the previous solution, we have \n\n\\[f(1 + r + \\dots +r^{k}) = r + k\\cdot 2024!\\] \n\nfor all \\(k\\in \\mathbb{Z}_{\\geq 0}\\) , where \\(r = f(1)\\geq 2\\) \n\nClaim — We have \\(f(a)\\geq \\frac{2^{a} - 1}{2024! \\cdot a}\\) for \\(a\\in \\mathbb{Z}_{>0}\\) . \n\nProof. Let \\(c = a + af(a)\\) , \\(b = f(c) + a\\) , and \\(d = f(a)\\) , so that \n\n\\[a + bf(a) = a + af(a) + f(a)f(c) = c + df(c).\\] \n\nComparing \\(P(a,b)\\) and \\(P(c,d)\\) tells us \n\n\\[f(b)^{a} + 2024!\\cdot a = f(d)^{c} + 2024!\\cdot c,\\]\n\n\n\nso \n\n\\[f(b)^{a} - \\left(f(d)^{1 + f(a)}\\right)^{a} = 2024! \\cdot af(a).\\] \n\nSince the left side of the above equation is positive, it must be at least \\(2^{a} - 1\\) , which implies the claim. \\(\\square\\) \n\nPlugging in \\(a = 1 + r + \\dots +r^{k}\\) into the above claim immediately gives the desired contradiction, for sufficiently large \\(k\\) . \n\n\\(\\P\\) Solution 3 (students). If \\(f\\) existed, then for any \\(k\\in \\mathbb{Z}_{>0}\\) we would have \n\n\\[f(f(3))^{3 + k f(3)} + 2024!(3 + k f(3)) = f(3 + k f(3) + f(3)f(3 + k f(3)))\\] \\[\\qquad = f(3 + (k + f(3 + k f(3))f(3)))\\] \\[\\qquad = f(k + f(3 + f(3)k))^{3} + 2024!\\cdot 3.\\] \n\nChoosing \\(k = 27(2024!)^{2}f(3)^{2}\\) gives \n\n\\[f(k + f(3 + f(3)k))^{3} = \\left(f(f(3))^{1 + 9(2024!)^{2}f(3)^{3}}\\right)^{3} + (3\\cdot 2024!f(3))^{3}\\] \n\nwhich contradicts Fermat's last theorem (no two perfect cubes may sum to a perfect cube). Hence \\(f\\) cannot exist.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "6. ", "solution_match": "## \\(\\S 2.3\\) TSTST 2024/6, proposed by Jaedon Whyte \n"}} {"year": "2024", "tier": "T0", "problem_label": "7", "problem_type": null, "exam": "USA_TSTST", "problem": "An infinite sequence \\(a_{1},a_{2},a_{3},\\ldots\\) of real numbers satisfies \n\n\\[a_{2n - 1} + a_{2n} > a_{2n + 1} + a_{2n + 2}\\qquad \\mathrm{and}\\qquad a_{2n} + a_{2n + 1}< a_{2n + 2} + a_{2n + 3}\\] \n\nfor every positive integer \\(n\\) . Prove that there exists a real number \\(C\\) such that \\(a_{n}a_{n + 1}< C\\) for every positive integer \\(n\\) .", "solution": "Aer \\(n\\) . \n\nIt suffices to solve the problem for sufficiently large \\(n\\) . Let \\(d_{n} = (- 1)^{n - 1}(a_{n + 2} - a_{n})\\) . The assertion simply says that \\(d_{1}, d_{2}, \\ldots\\) is strictly increasing. \n\nWe consider the following cases. \n\n- Suppose that \\(d_{k} > 0\\) for some \\(k\\) . Then, \n\n\\[a_{2n + 1} = a_{1} + (d_{1} + d_{3} + \\dots +d_{2n - 1})\\] \n\nclearly diverges to \\(+\\infty\\) , and \n\n\\[a_{2n} = a_{2} - (d_{2} + d_{4} + \\dots +d_{2n - 2})\\] \n\nclearly diverges to \\(-\\infty\\) , so taking \\(C = 0\\) works. \n\n- Now assume that \\(d_{k} \\leq 0\\) for all \\(k\\) . This implies that \\((a_{2n + 1})_{n \\geq 0}\\) is weakly decreasing and \\((a_{2n})_{n \\geq 1}\\) is weakly increasing. Adding the two expressions above together, we see that \n\n\\[d_{1} + a_{1} + a_{2}< a_{2n} + a_{2n + 1}< a_{1} + a_{2}.\\] \n\nSince \\((a_{2n + 1})_{n \\geq 0}\\) is weakly decreasing, it either diverges to \\(-\\infty\\) or has a finite limit. Similarly, \\((a_{2n})_{n \\geq 1}\\) either diverges to \\(+\\infty\\) or has a finite limit. \n\n- If \\((a_{2n + 1})_{n \\geq 0}\\) diverges to \\(-\\infty\\) , then the first inequality above implies that \\((a_{2n})_{n \\geq 1}\\) must diverge to \\(+\\infty\\) , in which case \\(C = 0\\) works. \n\n- If \\((a_{2n})_{n \\geq 1}\\) diverges to \\(+\\infty\\) , then the second inequality implies that \\((a_{2n + 1})_{n \\geq 0}\\) must diverge to \\(-\\infty\\) , so again \\(C = 0\\) works. \n\n- Finally assume that both \\(\\lim_{n \\to \\infty} a_{2n + 1}\\) and \\(\\lim_{n \\to \\infty} a_{2n}\\) exist, so the limit \\(L = \\lim_{n \\to \\infty} a_{2n} a_{2n + 1}\\) also exists. The result follows taking \\(C > L\\) .", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "7. ", "solution_match": "## \\(\\S 3.1\\) TSTST 2024/7, proposed by Merlijn Staps \n"}} -{"year": "2024", "tier": "T0", "problem_label": "8", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(ABC\\) be a scalene triangle, and let \\(D\\) be a point on side \\(BC\\) satisfying \\(\\angle BAD = \\angle DAC\\) . Suppose that \\(X\\) and \\(Y\\) are points inside \\(ABC\\) such that triangles \\(ABX\\) and \\(ACY\\) are similar and quadrilaterals \\(ACDX\\) and \\(ABDY\\) are cyclic. Let lines \\(BX\\) and \\(CY\\) meet at \\(S\\) and lines \\(BY\\) and \\(CX\\) meet at \\(T\\) . Prove that lines \\(DS\\) and \\(AT\\) are parallel.", "solution": "\\(\\P\\) Solution by characterizing \\(X\\) and \\(Y\\) . We first state an important property of \\(X\\) and \\(Y\\) . \n\nClaim — Points \\(X\\) and \\(Y\\) are isogonal conjugates with respect to \\(\\triangle ABC\\) . \n\n![](data:image/jpeg;base64,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)\n \n\nHere are two proofs of the claim. \n\nFirst proof of claim by Maxim Li. We prove an equivalent statement that \\(S\\) and \\(T\\) are isogonal conjugates with respect to \\(\\triangle ABC\\) . \n\nFirst, we note that \\(\\angle YBC = \\angle YAD = \\angle XAD = \\angle XCB\\) , so \\(BT = TC\\) . Now, let \\(T'\\) be the isogonal conjugate of \\(S\\) w.r.t. \\(\\triangle ABC\\) . Since \\(\\angle ABS = \\angle ACS\\) , it follows that \\(T'B = T'C\\) . Thus, both \\(T\\) and \\(T'\\) lies on perpendicular bisector of \\(BC\\) . \n\nMoreover, since \\(AX\\) and \\(AY\\) are isogonal with respect to \\(\\angle BAC\\) , by DDIT on point \\(A\\) and \\(BXCY\\) , we get that \\(AS\\) and \\(AT\\) are isogonal with respect to \\(\\angle BAC\\) . Hence, \\(A, T, T'\\) are collinear. Since \\(\\triangle ABC\\) is scalene, combining this with the previous paragraph gives \\(T = T'\\) , or \\(S\\) and \\(T\\) are isogonal conjugates. \\(\\square\\)\n\n\n\nA second different proof of the claim. Let \\(\\gamma_{B}\\) be the circle through \\(B\\) and \\(C\\) tangent to \\(AB\\) , and define \\(\\gamma_{C}\\) similarly. We claim that \\(X\\in \\gamma_{B}\\) and \\(Y\\in \\gamma_{C}\\) . \n\nLet \\(E\\) be the second intersection of \\(\\gamma_{B}\\) with \\(A C\\) , and let \\(F\\) be the intersection of \\(B E\\) and \\(A D\\) . Consider the transformation \\(\\tau\\) that is the composition of a reflection across \\(A D\\) and a homothety at \\(A\\) with ratio \\(\\frac{A B}{A C}\\) . Note that \\(\\tau\\) maps \\(Y\\mapsto X\\) , \\(B\\mapsto E\\) , and \\(D\\mapsto F\\) . Thus, \\(X\\) lies on \\(\\tau (\\odot (A B D)) = \\odot (A E F)\\) , so \\(X\\) is the second intersection of \\(\\odot (A E F)\\) and \\(\\odot (A D C)\\) , i.e. it is the Miquel point of quadrilateral \\(C D F E\\) . Thus, \\(X\\) lies on \\(\\odot (B E C) = \\gamma_{B}\\) , as claimed. \n\nFinally, the main claim follows from \\(\\angle B C X = \\angle A B X = \\angle A C Y\\) . \n\nHere are two ways to finish after the claim. \n\nFinish with isosceles trapezoid. We compute \n\n\\[\\angle A X B = 360^{\\circ} - \\angle B X C - \\angle C X A = 360^{\\circ} - \\angle B E C - \\angle C D A = 180^{\\circ} - \\frac{\\angle A}{2}.\\] \n\nThus, if \\(B X\\) meets \\(\\odot (A C D)\\) again at \\(C^{\\prime}\\) , then \n\n\\[\\angle A D C^{\\prime} = \\angle A X C^{\\prime} = \\frac{\\angle A}{2} = \\angle C A D,\\] \n\nso \\(A D C C^{\\prime}\\) is an isosceles trapezoid. Similarly, if \\(C Y\\) meets \\(\\odot (A B D)\\) again at \\(B^{\\prime}\\) , then \\(A D B B^{\\prime}\\) is an isosceles trapezoid. Hence, \\(B C C^{\\prime}B^{\\prime}\\) is an isosceles trapezoid whose diagonals meet at \\(S\\) , so we have that \\(S A = S D\\) . \n\nHowever, by the claim, \\(S\\) and \\(T\\) are isogonal conjugates in \\(A B C\\) . Thus, \n\n\\[\\angle A D S = \\angle S A D = \\angle D A T,\\] \n\nwhich completes the proof. \n\nFinish with angle chasing (Pitchayut Saengrungkongka). By the claim, let \\(\\angle D A X =\\) \\(\\angle D A Y = \\angle A B X = \\angle A C Y = \\theta\\) . Then, \n\n\\[\\angle X S Y = \\angle A + 2\\theta\\] \\[\\angle X D Y = \\angle B D Y + \\angle C D X - 180^{\\circ} = 180^{\\circ} - (\\angle B A Y + \\angle C A X)\\] \\[\\qquad = 180^{\\circ} - (\\angle A + 2\\theta),\\] \n\nso \\(X S Y D\\) is cyclic. Moreover, \n\n\\[\\angle X T Y = 180^{\\circ} - \\angle Y B C - \\angle X C B = 180^{\\circ} - 2\\theta = 180^{\\circ} - \\angle X A Y,\\] \n\nso \\(A X T Y\\) is also cyclic. Finally, \n\n\\[\\angle (A T,A X) = \\angle T Y X = \\angle B Y D + \\angle D Y X\\] \\[\\qquad = \\angle B A D + \\angle D S X = \\angle B X A + \\angle D S X\\] \\[\\qquad = \\angle (D S,A X).\\] \n\n\\(\\P\\) Solution 2 (Ruben Carpenter). Let \\(M\\) be the midpoint of \\(B C\\) , and \\(S^{\\prime}\\) , \\(T^{\\prime}\\) the reflections of \\(S\\) , \\(T\\) over \\(M\\) . In what follows, DDIT is short for the dual of Desargues' involution theorem.\n\n\n\nClaim — \\(S^{\\prime}\\) lies on \\(A T\\) . \n\nProof. From \\(\\triangle A B X \\sim \\triangle A Y C\\) , reflection along the angle bisector of \\(\\angle A B C\\) is an involution on the pencil of lines through \\(A\\) with pairs \\((A B,A C)\\) , \\((A X,A Y)\\) and \\((A\\infty_{B S},A\\infty_{C S})\\) . By DDIT from \\(A\\) onto complete quadrilateral \\(X Y S T B C\\) , \\(A S\\) is sent to \\(A T\\) . By DDIT from \\(A\\) onto \\(B C \\infty_{B X} \\infty_{C Y} S S^{\\prime}\\) , \\((A S,A S^{\\prime})\\) is also an involutive pair, so \\(A S^{\\prime} \\equiv A T\\) . \\(\\square\\) \n\nClaim — \\(T^{\\prime}\\) lies on \\(D S\\) . \n\nProof. Using the circles \\((A C D X)\\) , \\((A B D Y)\\) we obtain \n\n\\[\\angle B D T = \\angle D A Y = \\angle D A C - \\angle Y A C = \\angle B A D - \\angle B A X = \\angle X A D = \\angle T C B,\\] \n\nso \\(T\\) lies on the perpendicular bisector of \\(B C\\) . Furthermore \n\n\\[\\angle C D Y = \\angle B A Y = \\angle X A C = \\angle X D B,\\] \n\nso by DDIT from \\(D\\) onto \\(X S Y T B C\\) shows \\(\\angle C D T = \\angle S D B\\) . The conclusion follows. \\(\\square\\) \n\nFinally, since \\(S T S^{\\prime}T^{\\prime}\\) is a parallelogram we immediately have \\(D S \\parallel A T\\) . \n\nRemark. This problem was discovered by taking a degenerate case of IMO 2018/6 in which three of the vertices of the quadrilateral are collinear. Nevertheless, this origin is very obscured in the problem statement and does not seem to help with the solution at all. The original statement asked to show that the midpoints of \\(A D\\) , \\(B C\\) , and \\(X Y\\) are collinear. However, it was found that this is a straightforward consequence of a high- powered result about isogonal conjugates, so the statement was changed.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "8. ", "solution_match": "## \\(\\S 3.2\\) TSTST 2024/8, proposed by Michael Ren \n"}} +{"year": "2024", "tier": "T0", "problem_label": "8", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(ABC\\) be a scalene triangle, and let \\(D\\) be a point on side \\(BC\\) satisfying \\(\\angle BAD = \\angle DAC\\) . Suppose that \\(X\\) and \\(Y\\) are points inside \\(ABC\\) such that triangles \\(ABX\\) and \\(ACY\\) are similar and quadrilaterals \\(ACDX\\) and \\(ABDY\\) are cyclic. Let lines \\(BX\\) and \\(CY\\) meet at \\(S\\) and lines \\(BY\\) and \\(CX\\) meet at \\(T\\) . Prove that lines \\(DS\\) and \\(AT\\) are parallel.", "solution": "\\(\\P\\) Solution by characterizing \\(X\\) and \\(Y\\) . We first state an important property of \\(X\\) and \\(Y\\) . \n\nClaim — Points \\(X\\) and \\(Y\\) are isogonal conjugates with respect to \\(\\triangle ABC\\) . \n\n![md5:81e3d89a04fd928315f7da75519c87e7](81e3d89a04fd928315f7da75519c87e7.jpeg)\n \n\nHere are two proofs of the claim. \n\nFirst proof of claim by Maxim Li. We prove an equivalent statement that \\(S\\) and \\(T\\) are isogonal conjugates with respect to \\(\\triangle ABC\\) . \n\nFirst, we note that \\(\\angle YBC = \\angle YAD = \\angle XAD = \\angle XCB\\) , so \\(BT = TC\\) . Now, let \\(T'\\) be the isogonal conjugate of \\(S\\) w.r.t. \\(\\triangle ABC\\) . Since \\(\\angle ABS = \\angle ACS\\) , it follows that \\(T'B = T'C\\) . Thus, both \\(T\\) and \\(T'\\) lies on perpendicular bisector of \\(BC\\) . \n\nMoreover, since \\(AX\\) and \\(AY\\) are isogonal with respect to \\(\\angle BAC\\) , by DDIT on point \\(A\\) and \\(BXCY\\) , we get that \\(AS\\) and \\(AT\\) are isogonal with respect to \\(\\angle BAC\\) . Hence, \\(A, T, T'\\) are collinear. Since \\(\\triangle ABC\\) is scalene, combining this with the previous paragraph gives \\(T = T'\\) , or \\(S\\) and \\(T\\) are isogonal conjugates. \\(\\square\\)\n\n\n\nA second different proof of the claim. Let \\(\\gamma_{B}\\) be the circle through \\(B\\) and \\(C\\) tangent to \\(AB\\) , and define \\(\\gamma_{C}\\) similarly. We claim that \\(X\\in \\gamma_{B}\\) and \\(Y\\in \\gamma_{C}\\) . \n\nLet \\(E\\) be the second intersection of \\(\\gamma_{B}\\) with \\(A C\\) , and let \\(F\\) be the intersection of \\(B E\\) and \\(A D\\) . Consider the transformation \\(\\tau\\) that is the composition of a reflection across \\(A D\\) and a homothety at \\(A\\) with ratio \\(\\frac{A B}{A C}\\) . Note that \\(\\tau\\) maps \\(Y\\mapsto X\\) , \\(B\\mapsto E\\) , and \\(D\\mapsto F\\) . Thus, \\(X\\) lies on \\(\\tau (\\odot (A B D)) = \\odot (A E F)\\) , so \\(X\\) is the second intersection of \\(\\odot (A E F)\\) and \\(\\odot (A D C)\\) , i.e. it is the Miquel point of quadrilateral \\(C D F E\\) . Thus, \\(X\\) lies on \\(\\odot (B E C) = \\gamma_{B}\\) , as claimed. \n\nFinally, the main claim follows from \\(\\angle B C X = \\angle A B X = \\angle A C Y\\) . \n\nHere are two ways to finish after the claim. \n\nFinish with isosceles trapezoid. We compute \n\n\\[\\angle A X B = 360^{\\circ} - \\angle B X C - \\angle C X A = 360^{\\circ} - \\angle B E C - \\angle C D A = 180^{\\circ} - \\frac{\\angle A}{2}.\\] \n\nThus, if \\(B X\\) meets \\(\\odot (A C D)\\) again at \\(C^{\\prime}\\) , then \n\n\\[\\angle A D C^{\\prime} = \\angle A X C^{\\prime} = \\frac{\\angle A}{2} = \\angle C A D,\\] \n\nso \\(A D C C^{\\prime}\\) is an isosceles trapezoid. Similarly, if \\(C Y\\) meets \\(\\odot (A B D)\\) again at \\(B^{\\prime}\\) , then \\(A D B B^{\\prime}\\) is an isosceles trapezoid. Hence, \\(B C C^{\\prime}B^{\\prime}\\) is an isosceles trapezoid whose diagonals meet at \\(S\\) , so we have that \\(S A = S D\\) . \n\nHowever, by the claim, \\(S\\) and \\(T\\) are isogonal conjugates in \\(A B C\\) . Thus, \n\n\\[\\angle A D S = \\angle S A D = \\angle D A T,\\] \n\nwhich completes the proof. \n\nFinish with angle chasing (Pitchayut Saengrungkongka). By the claim, let \\(\\angle D A X =\\) \\(\\angle D A Y = \\angle A B X = \\angle A C Y = \\theta\\) . Then, \n\n\\[\\angle X S Y = \\angle A + 2\\theta\\] \\[\\angle X D Y = \\angle B D Y + \\angle C D X - 180^{\\circ} = 180^{\\circ} - (\\angle B A Y + \\angle C A X)\\] \\[\\qquad = 180^{\\circ} - (\\angle A + 2\\theta),\\] \n\nso \\(X S Y D\\) is cyclic. Moreover, \n\n\\[\\angle X T Y = 180^{\\circ} - \\angle Y B C - \\angle X C B = 180^{\\circ} - 2\\theta = 180^{\\circ} - \\angle X A Y,\\] \n\nso \\(A X T Y\\) is also cyclic. Finally, \n\n\\[\\angle (A T,A X) = \\angle T Y X = \\angle B Y D + \\angle D Y X\\] \\[\\qquad = \\angle B A D + \\angle D S X = \\angle B X A + \\angle D S X\\] \\[\\qquad = \\angle (D S,A X).\\] \n\n\\(\\P\\) Solution 2 (Ruben Carpenter). Let \\(M\\) be the midpoint of \\(B C\\) , and \\(S^{\\prime}\\) , \\(T^{\\prime}\\) the reflections of \\(S\\) , \\(T\\) over \\(M\\) . In what follows, DDIT is short for the dual of Desargues' involution theorem.\n\n\n\nClaim — \\(S^{\\prime}\\) lies on \\(A T\\) . \n\nProof. From \\(\\triangle A B X \\sim \\triangle A Y C\\) , reflection along the angle bisector of \\(\\angle A B C\\) is an involution on the pencil of lines through \\(A\\) with pairs \\((A B,A C)\\) , \\((A X,A Y)\\) and \\((A\\infty_{B S},A\\infty_{C S})\\) . By DDIT from \\(A\\) onto complete quadrilateral \\(X Y S T B C\\) , \\(A S\\) is sent to \\(A T\\) . By DDIT from \\(A\\) onto \\(B C \\infty_{B X} \\infty_{C Y} S S^{\\prime}\\) , \\((A S,A S^{\\prime})\\) is also an involutive pair, so \\(A S^{\\prime} \\equiv A T\\) . \\(\\square\\) \n\nClaim — \\(T^{\\prime}\\) lies on \\(D S\\) . \n\nProof. Using the circles \\((A C D X)\\) , \\((A B D Y)\\) we obtain \n\n\\[\\angle B D T = \\angle D A Y = \\angle D A C - \\angle Y A C = \\angle B A D - \\angle B A X = \\angle X A D = \\angle T C B,\\] \n\nso \\(T\\) lies on the perpendicular bisector of \\(B C\\) . Furthermore \n\n\\[\\angle C D Y = \\angle B A Y = \\angle X A C = \\angle X D B,\\] \n\nso by DDIT from \\(D\\) onto \\(X S Y T B C\\) shows \\(\\angle C D T = \\angle S D B\\) . The conclusion follows. \\(\\square\\) \n\nFinally, since \\(S T S^{\\prime}T^{\\prime}\\) is a parallelogram we immediately have \\(D S \\parallel A T\\) . \n\nRemark. This problem was discovered by taking a degenerate case of IMO 2018/6 in which three of the vertices of the quadrilateral are collinear. Nevertheless, this origin is very obscured in the problem statement and does not seem to help with the solution at all. The original statement asked to show that the midpoints of \\(A D\\) , \\(B C\\) , and \\(X Y\\) are collinear. However, it was found that this is a straightforward consequence of a high- powered result about isogonal conjugates, so the statement was changed.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "8. ", "solution_match": "## \\(\\S 3.2\\) TSTST 2024/8, proposed by Michael Ren \n"}} {"year": "2024", "tier": "T0", "problem_label": "9", "problem_type": null, "exam": "USA_TSTST", "problem": "Let \\(n \\geq 2\\) be a fixed integer. The cells of an \\(n \\times n\\) table are filled with the integers from 1 to \\(n^2\\) with each number appearing exactly once. Let \\(N\\) be the number of unordered quadruples of cells on this board which form an axis-aligned rectangle, with the two smaller integers being on opposite vertices of this rectangle. Find the largest possible value of \\(N\\) .", "solution": "L \n\nThe largest possible value of \\(N\\) is \\(\\frac{1}{12} n^2 (n^2 - 1)\\) . Call these rectangles wobbly. We defer the construction until the proof is complete, since the proof suggests the construction. \n\nProof of bound. Call a triple of integers \\((a, b, c)\\) an elbow if \\(a\\) and \\(b\\) are in the same row, \\(b\\) and \\(c\\) are in the same column, and \\(a < b > c\\) . Observe that the wobbly rectangles are exactly the ones with 2 elbows. \n\nClaim — Every axis- aligned rectangle has at least 1 elbow. \n\nProof. The smallest integer in any rectangle is the center of an elbow. \n\nRemark. In fact, it is true that any rectangle must have exactly 1 or 2 elbows. However, this fact is not needed in the proof. \n\nLet \\(E\\) be the number of elbows and \\(M\\) be the number of non- wobbly rectangles. Then, the number of elbows is at least \\(M + 2N = \\binom{n}{2}^2 + N\\) , so \n\n\\[E\\geq \\binom{n}{2}^{2} + N\\iff N\\leq E - \\binom{n}{2}^{2}.\\] \n\nTo this end, we will provide an upper bound on \\(E\\) . For each cell \\(c\\) , define: \n\n- \\(f(c)\\) to be the number of cells in \\(c\\) 's row which are smaller than \\(c\\) , and \n\n- \\(g(c)\\) to be the number of cells in \\(c\\) 's column which are smaller than \\(c\\) . \n\nThen, the number of elbows centered at \\(c\\) equals \\(f(c)g(c)\\) . Thus, the number of elbows satisfies \n\n\\[E = \\sum_{c}f(c)g(c)\\] \\[\\leq \\sum_{c}\\frac{1}{2}\\big[f(c)^{2} + g(c)^{2}\\big]\\] \\[= n\\big(0^{2} + \\cdot \\cdot \\cdot +(n - 1)^{2}\\big)\\] \\[= \\frac{n^{2}(n - 1)(2n - 1)}{6}.\\] \n\nIt follows that the number of wobbly rectangles satisfies \n\n\\[N\\leq E - \\binom{n}{2}^{2}\\]\n\n\n\n\\[= \\frac{n^{2}(n - 1)(2n - 1)}{6} -\\frac{n^{2}(n - 1)^{2}}{4}\\] \\[= \\frac{n^{2}(n^{2} - 1)}{12}\\]\n\nas desired.\n\nConstruction. From the proof above, equality holds if and only if \\(f(c)=g(c)\\) everywhere.\n\nSelect any \\(n\\times n\\) Latin square on symbols 0,..., \\(n-1\\) , and replace the \\(n\\) copies of symbol \\(k\\) with the integers \\(kn+1,\\ldots ,kn+n\\) in some order. This construction is valid,because for each cell \\(c\\) , \\(f(c)\\) and \\(g(c)\\) both equal the symbol originally placed in \\(c\\) .\n\nHere is an example for \\(n=6\\) . The left grid is the Latin square, and the right grid is one possible table that can be derived from it.\n\n
012345
501234
450123
345012
234501
123450
\n\n
1713192531
3228142026
2733391521
22283441016
17232935511
12182430366
\n\n**Remark** (Structure of optimal tables). In fact, any optimal table must lead to a Latin square in a similar way, by reversing the above idea: replace each cell \\(c\\) with \\(f(c)=g(c)\\) .\n\nThis suggests how to construct all optimal tables: choose any Latin square on 0,..., \\(n-1\\) , and fill in the cells so that the relative order of cells in every row and column is preserved.\n\n**Remark.** If the grid is filled out in a random order, the expected number of wobbly rectangles is \\(\\frac {1}{12}n^{2}(n-1)^{2}\\) . This is asymptotically equal to the maximum value.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2024.jsonl", "problem_match": "9. ", "solution_match": "## §3.3 TSTST 2024/9 \n"}} diff --git a/USA_TSTST/segmented/en-sols-TSTST-2025.jsonl b/USA_TSTST/segmented/en-sols-TSTST-2025.jsonl index 3b72eb84b2673a6493c3b82e0af17e789c622e06..85759f4c7fd14d468847a6b140a33fa6392293cd 100644 --- a/USA_TSTST/segmented/en-sols-TSTST-2025.jsonl +++ b/USA_TSTST/segmented/en-sols-TSTST-2025.jsonl @@ -2,8 +2,8 @@ {"year": "2025", "tier": "T0", "problem_label": "2", "problem_type": null, "exam": "IMO", "problem": "Find all sets \\(S \\subseteq \\mathbb{Z}\\) for which there exists a function \\(f: \\mathbb{R} \\to \\mathbb{Z}\\) such that \n\n- \\(f(x - y) - 2f(x) + f(x + y) \\geq -1\\) for all \\(x, y \\in \\mathbb{R}\\) , and \n\n- \\(S = \\{f(z) \\mid z \\in \\mathbb{R}\\}\\) .", "solution": "The answer is \\(\\{a\\}\\) , \\(\\{a,a + 1\\}\\) , \\(\\{a,a + 1,a + 2,\\ldots \\}\\) , and \\(\\mathbb{Z}\\) , for arbitrary \\(a\\in \\mathbb{Z}\\) . For constructions, it is not hard to show that if \\(g\\colon \\mathbb{R}\\to \\mathbb{R}\\) is a convex function, then \\(\\lfloor g\\rfloor\\) satisfies the functional equation. Thus \\(f(x) = a\\) , \\(f(x) = \\lfloor x\\rfloor\\) , and \\(f(x) = \\lfloor x^{2}\\rfloor +a\\) work, covering the first, fourth, and third class of answers respectively. Furthermore, it is not hard to show that \\(f(x) = a + \\mathbf{1}_{x > 0}\\) also works to cover the second class. \n\nLet \\(P(x,y)\\) denote the condition. To prove that nothing else works, the key result is to prove an \"intermediate value theorem\": if \\(a\\) and \\(b\\) are in the range of \\(f\\) , then so is every integer between \\(a\\) and \\(b\\) . Let's first see how this finishes. If we assume the intermediate value theorem, then all we need to show is that if the range of the range of \\(f\\) is at least 2, then the range of \\(f\\) is unbounded above. Indeed, if \\(f(x) - f(y)\\geq 2\\) , then \\(P(x,y - x)\\) gives us that \\(f(2x - y) > f(x)\\) , so iterating this procedure finishes. \n\nWe will now prove the intermediate value theorem. We will repeatedly use the fact that if \\(f(x)\\) is a solution, so is \\(f(ax + b) + c\\) for \\(a,b\\in \\mathbb{R}\\) and \\(c\\in \\mathbb{Z}\\) . \n\n## Lemma 1.1 \n\nIf \\(f(0)\\leq - 1\\) , then \\(f(2^{k})\\geq 2^{k}f(1)\\) for \\(k\\geq 0\\) \n\nProof. \\(P(2^{k},2^{k})\\) yields that \\(f(2^{k + 1})\\geq 2f(2^{k})\\) \n\n## Lemma 1.2 \n\nIf \\(f(- 1)\\leq - 2\\) and \\(f(0) = 0\\) , then \\(f(2^{k})\\geq 2^{k} - 1\\) for all positive integers \\(k\\) . \n\nProof. Applying Lemma 1.1 to \\(f(x - 1) + 1\\) yields that \\(f(2^{k} - 1)\\geq 2^{k} - 1\\) . Then, applying Lemma 1.1 to \\(f(2^{k} - x) - f(2^{k}) - 1\\) yields that \n\n\\[f(0) - f(2^{k}) - 1\\geq 2^{k}(f(2^{k} - 1) - f(2^{k}) - 1)\\implies f(2^{k}) + 1\\geq \\frac{2^{k}f(2^{k} - 1)}{2^{k} - 1}\\geq 2^{k}.\\] \n\nNow to prove the intermediate value theorem, scale and shift such that \\(f(- 1)\\leq - 2\\) and \\(f(0) = 0\\) ; it suffices to show that there exists some number strictly between \\(f(- 1)\\) and \\(f(0)\\) in the range of \\(f\\) (since by iteration we can then get all values). Suppose not and let \\(a_{k} = f(- 1 / 2^{k})\\) . If \\(k\\) is minimal such that \\(a_{k}\\geq 0\\) , then \\(P(- 1 / 2^{k},1 / 2^{k})\\) yields a contradiction. Thus \\(a_{k}\\leq - 2\\) for all \\(k\\) . However, applying Lemma 1.2 to \\(f(x / 2^{k})\\) yields that \\(a_{k}\\leq - 2\\implies f(1)\\geq 2^{k} - 1\\) , which cannot hold for all \\(k\\) since \\(f(1)\\) is constant.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 2. ", "solution_match": "## \\(\\S 1.2\\) Solution to TSTST 2, by Daniel Zhu \n"}} {"year": "2025", "tier": "T0", "problem_label": "3", "problem_type": null, "exam": "IMO", "problem": "Let \\(a_{1}, a_{2}, r\\) , and \\(s\\) be positive integers with \\(r\\) and \\(s\\) odd. The sequence \\(a_{1}, a_{2}, a_{3}, \\ldots\\) is defined by \n\n\\[a_{n + 2} = r a_{n + 1} + s a_{n}\\] \n\nfor all \\(n \\geq 1\\) . Determine the maximum possible number of integers \\(1 \\leq \\ell \\leq 2025\\) such that \\(a_{\\ell}\\) divides \\(a_{\\ell +1}\\) , over all possible choices of \\(a_{1}, a_{2}, r\\) , and \\(s\\) .", "solution": "Answer 1350. \n\n\\(\\P\\) Solution We first provide the upper bound. We start by dividing out any common factors of \\(a_{1}\\) and \\(a_{2}\\) from the whole sequence. Note that since \\(r\\) and \\(s\\) are odd, and \\(a_{1}\\) and \\(a_{2}\\) cannot both be divisible by 2, the sequence \\(a_{1}, a_{2}, a_{3}, \\ldots\\) (mod 2) must be some cyclic shift of the sequence \\(1, 1, 0, 1, 1, 0, 1, 1, 0, \\ldots\\) . This means that exactly \\(\\frac{2025}{3} = 675\\) of the values of \\(\\ell\\) satisfy \\(a_{\\ell} \\equiv 0\\) (mod 2) and \\(a_{\\ell +1} \\equiv 1\\) (mod 2). An even number can never divide an odd number, so we have an upper bound of \\(2025 \\times \\frac{2}{3} = 1350\\) . \n\nNow we provide a construction so that \\(a_{\\ell}\\) divides \\(a_{\\ell +1}\\) for 1350 values of \\(\\ell\\) . Let \\(F_{1}, F_{2}, F_{3}, \\ldots\\) denote the Fibonacci sequence with \\(F_{1} = F_{2} = 1\\) . Let \n\n\\[C = \\frac{F_{1} \\cdot F_{2} \\cdot F_{3} \\cdot F_{4} \\cdots F_{2025}}{F_{3} \\cdot F_{6} \\cdot F_{9} \\cdot F_{12} \\cdots F_{2025}} = F_{1} \\cdot F_{2} \\cdot F_{4} \\cdot F_{5} \\cdots F_{2024}.\\] \n\nNote that \\(C\\) is odd, since it is the product of all odd Fibonacci numbers up to \\(F_{2025}\\) . We let \\(a_{n} = C^{n - 1} F_{n}\\) , which satisfies the recurrence with \\(r = C^{2}\\) and \\(s = C\\) . This gives \n\n\\[\\frac{a_{\\ell +1}}{a_{\\ell}} = C \\cdot \\frac{F_{\\ell +1}}{F_{\\ell}},\\] \n\nwhich is an integer whenever \\(3 \\nmid \\ell\\) for \\(1 \\leq \\ell \\leq 2025\\) .", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 3. ", "solution_match": "## §1.3 Solution to TSTST 3, by Carlos Rodriguez, Albert Wang, Kevin Wu, Isaac Zhu, Nathan Cho \n"}} {"year": "2025", "tier": "T0", "problem_label": "4", "problem_type": null, "exam": "IMO", "problem": "Let \\(n \\geq 2\\) be a positive integer. Let \\(a_{1}, a_{2}, \\ldots , a_{n}\\) be a sequence of positive integers such that \n\n\\[\\gcd (a_{1},a_{2}),\\gcd (a_{2},a_{3}),\\ldots ,\\gcd (a_{n - 1},a_{n})\\] \n\nis a strictly increasing sequence. Find, in terms of \\(n\\) , the maximum possible value of \n\n\\[\\frac{1}{a_{1}} +\\frac{1}{a_{2}} +\\dots +\\frac{1}{a_{n}}\\] \n\nover all such sequences.", "solution": "We claim the maximum possible value is 2. To see that this is achievable, let the sequence \\((a_{i})_{i = 1}^{n}\\) be 1, 2, 4, ..., \\(2^{n - 2}\\) , \\(2^{n - 2}\\) . Then \\(\\gcd (a_{i},a_{i + 1}) = 2^{i - 1}\\) , which is an increasing sequence, and it is easy to check that \\(\\sum \\frac{1}{a_{i}} = 2\\) . We now show this is the maximum. \n\nLet \\(d_{i} = \\gcd (a_{i},a_{i + 1})\\) . Since \\(d_{i - 1}< d_{i}\\) , we have that \\(\\frac{a_{i}}{d_{i - 1}} >\\frac{a_{i}}{d_{i}}\\) . But these are both integers, so we get that \n\n\\[1\\leq \\frac{a_{i}}{d_{i - 1}} -\\frac{a_{i}}{d_{i}}\\Longrightarrow \\frac{1}{a_{i}}\\leq \\frac{1}{d_{i - 1}} -\\frac{1}{d_{i}}.\\] \n\nAdding everything up, we get that \n\n\\[\\sum_{i = 1}^{n}\\frac{1}{a_{i}}\\leq \\frac{1}{a_{1}} +\\frac{1}{d_{1}} -\\frac{1}{d_{n - 1}} +\\frac{1}{a_{n}}.\\] \n\nBut \\(d_{n - 1}\\mid a_{n}\\) , so \\(d_{n - 1}\\leq a_{n}\\) , and \\(\\frac{1}{d_{n - 1}}\\geq \\frac{1}{a_{n}}\\) . Thus, this sum is at most \\(\\frac{1}{a_{1}} +\\frac{1}{d_{1}}\\leq 2\\) . \\(\\square\\)", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 4. ", "solution_match": "## \\(\\S 2.1\\) Solution to TSTST 4, by Maxim Li \n"}} -{"year": "2025", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "A tetrahedron \\(ABCD\\) is said to be angelic if it has nonzero volume and satisfies \n\n\\[\\angle BAC + \\angle CAD + \\angle DAB = \\angle ABC + \\angle CBD + \\angle DBA,\\] \\[\\angle ACB + \\angle BCD + \\angle DCA = \\angle ADB + \\angle BDC + \\angle CDA.\\] \n\nAcross all angelic tetrahedrons, what is the maximum number of distinct lengths that could appear in the set \\(\\{AB, AC, AD, BC, BD, CD\\}\\) ?", "solution": "![](data:image/jpeg;base64,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)\n \n\nWe claim the maximum cardinality is \\(\\boxed{4}\\) . This is attained by taking a non- square rectangle (or parallelogram) \\(A C B D\\) and folding it along diagonal \\(A B\\) , creating edges \\(A B\\) and \\(C D\\) in the process. Here, \\(A C = B D\\) and \\(A D = B C\\) , while every other length is distinct in the general case. This tetrahedron is congruent to itself under the permutation of vertices \\((A,B,C,D)\\mapsto (B,A,D,C)\\) , and we can verify that the required angle conditions follow from this symmetry. \n\n![](data:image/jpeg;base64,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)\n \n\nIn the other direction, let \\(f(X)\\) denote the sum of the angles at \\(X\\) , so the conditions of the problem statement can be written as \\(f(A) = f(B)\\) and \\(f(C) = f(D)\\) . Unfold the three faces that meet at \\(D\\) to create a net of the tetrahedron. Along with the face \\(\\triangle A B C\\) , we also create the faces \\(\\triangle A B D_{1}\\) , \\(\\triangle B C D_{2}\\) , and \\(\\triangle A C D_{3}\\) . Note that\n\n\n\n\\(f(A) + f(B) + f(C) + f(D)\\) is the sum of all of the angles of all four faces of the tetrahedron, which is \\(720^{\\circ}\\) . Therefore, \\(f(A) = f(B) = 360^{\\circ} - f(C) = 360^{\\circ} - f(D)\\) . Furthermore, we have that \\(\\angle D_{1}AD_{3} = f(A)\\) and \\(\\angle D_{2}CD_{3} = 360^{\\circ} - f(C)\\) . Since \\(AD_{1} = AD_{3}\\) and \\(CD_{2} = CD_{3}\\) by the definition of unfolding, this gives \\(\\triangle D_{3}AD_{1} \\sim \\triangle D_{3}CD_{2}\\) . Thus, due to spiral similarity, we have \\(\\triangle D_{3}AC \\sim \\triangle D_{3}D_{1}D_{2}\\) . \n\nSimilarly, we also have \\(\\triangle D_{2}BD_{1} \\sim \\triangle D_{2}CD_{3} \\Rightarrow \\triangle CBD_{2} \\sim \\triangle D_{3}D_{1}D_{2}\\) . This means that \\(\\triangle CBD_{2} \\sim \\triangle D_{3}AC\\) , and since \\(CD_{3} = CD_{2}\\) , the two triangles are actually congruent. Therefore, \\(AC = BD_{2} = BD\\) and \\(BC = AD_{3} = AD\\) . Since we have two pairs of equal edge lengths, the number of distinct edge lengths is at most 4, as desired.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 5. ", "solution_match": "## \\(\\S 2.2\\) Solution to TSTST 5, by Karthik Vedula \n"}} +{"year": "2025", "tier": "T0", "problem_label": "5", "problem_type": null, "exam": "IMO", "problem": "A tetrahedron \\(ABCD\\) is said to be angelic if it has nonzero volume and satisfies \n\n\\[\\angle BAC + \\angle CAD + \\angle DAB = \\angle ABC + \\angle CBD + \\angle DBA,\\] \\[\\angle ACB + \\angle BCD + \\angle DCA = \\angle ADB + \\angle BDC + \\angle CDA.\\] \n\nAcross all angelic tetrahedrons, what is the maximum number of distinct lengths that could appear in the set \\(\\{AB, AC, AD, BC, BD, CD\\}\\) ?", "solution": "![md5:fdf6beeb70435b3048d478995c399aa0](fdf6beeb70435b3048d478995c399aa0.jpeg)\n \n\nWe claim the maximum cardinality is \\(\\boxed{4}\\) . This is attained by taking a non- square rectangle (or parallelogram) \\(A C B D\\) and folding it along diagonal \\(A B\\) , creating edges \\(A B\\) and \\(C D\\) in the process. Here, \\(A C = B D\\) and \\(A D = B C\\) , while every other length is distinct in the general case. This tetrahedron is congruent to itself under the permutation of vertices \\((A,B,C,D)\\mapsto (B,A,D,C)\\) , and we can verify that the required angle conditions follow from this symmetry. \n\n![md5:1485495740b3acda036b4994365120d4](1485495740b3acda036b4994365120d4.jpeg)\n \n\nIn the other direction, let \\(f(X)\\) denote the sum of the angles at \\(X\\) , so the conditions of the problem statement can be written as \\(f(A) = f(B)\\) and \\(f(C) = f(D)\\) . Unfold the three faces that meet at \\(D\\) to create a net of the tetrahedron. Along with the face \\(\\triangle A B C\\) , we also create the faces \\(\\triangle A B D_{1}\\) , \\(\\triangle B C D_{2}\\) , and \\(\\triangle A C D_{3}\\) . Note that\n\n\n\n\\(f(A) + f(B) + f(C) + f(D)\\) is the sum of all of the angles of all four faces of the tetrahedron, which is \\(720^{\\circ}\\) . Therefore, \\(f(A) = f(B) = 360^{\\circ} - f(C) = 360^{\\circ} - f(D)\\) . Furthermore, we have that \\(\\angle D_{1}AD_{3} = f(A)\\) and \\(\\angle D_{2}CD_{3} = 360^{\\circ} - f(C)\\) . Since \\(AD_{1} = AD_{3}\\) and \\(CD_{2} = CD_{3}\\) by the definition of unfolding, this gives \\(\\triangle D_{3}AD_{1} \\sim \\triangle D_{3}CD_{2}\\) . Thus, due to spiral similarity, we have \\(\\triangle D_{3}AC \\sim \\triangle D_{3}D_{1}D_{2}\\) . \n\nSimilarly, we also have \\(\\triangle D_{2}BD_{1} \\sim \\triangle D_{2}CD_{3} \\Rightarrow \\triangle CBD_{2} \\sim \\triangle D_{3}D_{1}D_{2}\\) . This means that \\(\\triangle CBD_{2} \\sim \\triangle D_{3}AC\\) , and since \\(CD_{3} = CD_{2}\\) , the two triangles are actually congruent. Therefore, \\(AC = BD_{2} = BD\\) and \\(BC = AD_{3} = AD\\) . Since we have two pairs of equal edge lengths, the number of distinct edge lengths is at most 4, as desired.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 5. ", "solution_match": "## \\(\\S 2.2\\) Solution to TSTST 5, by Karthik Vedula \n"}} {"year": "2025", "tier": "T0", "problem_label": "6", "problem_type": null, "exam": "IMO", "problem": "Alice and Bob play a game on \\(n\\) vertices labelled \\(1, 2, \\ldots , n\\) . They take turns adding edges \\(\\{i, j\\}\\) , with Alice going first. Neither player is allowed to make a move that creates a cycle, and the game ends after \\(n - 1\\) total turns. \n\nLet the weight of the edge \\(\\{i, j\\}\\) be \\(|i - j|\\) , and let \\(W\\) be the total weight of all edges at the end of the game. Alice plays to maximize \\(W\\) and Bob plays to minimize \\(W\\) . If both play optimally, what will \\(W\\) be?", "solution": "\\(\\P\\) Solution Let \\(k = \\lceil \\frac{n - 1}{2}\\rceil\\) . The answer is \n\n\\[\\frac{1}{2} (k + 1)(2n - k - 2) = (n - k - 1) + (n - k) + \\dots +(n - 1).\\] \n\nWhen \\(n = 1\\) , this is clear. \n\nConsider now when \\(n\\geq 2\\) . Note that the game consists of \\(n - 1\\) moves, with Alice making \\(k\\) moves and Bob making \\(n - k - 1\\) moves. \n\nWe first show Alice can guarantee a total of at least \\(\\textstyle {\\frac{1}{2}}(k + 1)(2n - k - 2)\\) \n\nClaim — Alice can ensure her \\(i\\) th move is an edge of weight at least \\(n - i\\) \n\nProof. On her first move, Alice chooses the edge \\((1,n)\\) , which has weight \\(n - 1\\) . Now, consider the \\(i\\) th move, for \\(i > 1\\) . \n\nConsider the induced subgraph on vertices \\(\\{1,\\ldots ,i\\} \\sqcup \\{n - i + 1,\\ldots ,n\\}\\) . (Note that \\(i< n - i + 1\\) for all \\(1\\leq i\\leq k\\) .) Before Alice's \\(i\\) th move, exactly \\(2i - 2\\) moves have been made, so since this subgraph has \\(2i\\) vertices, it is disconnected. \n\nTake a vertex \\(j\\) such that \\(j\\) and 1 are in different connected components. Since Alice's first move is \\((1,n)\\) , \\(j\\) is also not connected to \\(n\\) . Now, if \\(j\\in \\{1,\\ldots ,i\\}\\) , Alice adds \\((j,n)\\) , otherwise Alice adds \\((1,j)\\) . \\(\\square\\) \n\nSince each of Bob's edges has weight at least 1, his edges in total have weight at least \\(n - k - 1\\) . Thus, Alice can ensure a total weight of at least \\((n - k - 1) + (n - k) + \\dots +(n - 1)\\) . \n\nWe now give a strategy for Bob. \n\nClaim — Bob can ensure that for each \\(1\\leq i\\leq k\\) , there are at most \\(i\\) edges of weight at least \\(n - i\\) , while only adding edges of weight 1. \n\nProof. For \\(i = 1\\) , this is clear. Consider \\(i > 1\\) . As above, consider the induced subgraph on vertices \\(\\{1,\\ldots ,i\\} \\sqcup \\{n - i + 1,\\ldots ,n\\}\\) before Bob's \\((i - 1)\\) st move. \n\nWe show that there exists some edge of weight 1 in this subgraph that Bob can choose. Suppose not. Then, since none of \\((1,2),\\ldots ,(i - 1,i)\\) are valid moves, the vertices \\(1,\\ldots ,i\\) are connected. Likewise, the vertices \\((n - i + 1,\\ldots ,n)\\) are connected. \n\nHence, there are at least \\(2(i - 1)\\) edges in this subgraph. However, only \\(2i - 3\\) moves have been played up to this point, contradiction. So, Bob can choose an edge of weight 1 in this subgraph. \n\nWhen \\(n\\) is even, Bob makes \\(k - 1\\) moves, so this accounts for all his moves. When \\(n\\) is odd, on the final move, since not all the vertices are connected, there exists some edge of weight 1 that Bob can add.\n\n\n\nThus, Bob can select only edges of weight 1. Now, following the above strategy, for any \\(1 \\leq i \\leq k\\) , Bob chooses at least \\(k - 1\\) edges in the induced subgraph on vertices \\(\\{1, \\ldots , i\\} \\cup \\{n - i + 1, \\ldots , n\\}\\) . Since the induced subgraph contains no cycles, Alice plays at most \\((2i - 1) - (i - 1) = i\\) edges in this subgraph. \n\nNow, note that any edge of weight at least \\(n - i\\) must have both vertices contained in this subgraph. Thus, there are at most \\(i\\) edges of weight at least \\(n - i\\) , as desired. (When \\(n > 2\\) , \\(n - i \\geq n - k > 1\\) , and when \\(n = 2\\) , Bob plays no edges, so the bound still holds.) \\(\\square\\) \n\nUsing the above strategy, the total weight of Bob's edges is \\(n - k - 1\\) . Let \\(a_{i}\\) be the number of edges Alice plays of weight at least \\(i\\) . Then, the total weight of Alice's edges is \n\n\\[\\sum_{i = 1}^{n - 1}a_{i}\\leq k(n - k - 1) + \\sum_{i = n - k}^{n - 1}a_{i}\\] \\[\\qquad \\leq k(n - k - 1) + (k + (k - 1) + \\cdot \\cdot \\cdot +1)\\] \\[\\qquad = (n - 1) + (n - 2) + \\cdot \\cdot \\cdot +(n - k).\\] \n\nThus, Bob can ensure a total weight of at most \\((n - k - 1) + (n - k) + \\dots +(n - 1)\\) .", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 6. ", "solution_match": "## \\(\\S 2.3\\) Solution to TSTST 6, by Max Lu, Kevin Wu \n"}} {"year": "2025", "tier": "T0", "problem_label": "7", "problem_type": null, "exam": "IMO", "problem": "For a positive real number \\(c\\) , the sequence \\(a_{1}, a_{2}, \\ldots\\) of real numbers is defined as follows. Let \\(a_{1} = c\\) , and for \\(n \\geq 2\\) , let \n\n\\[a_{n} = \\sum_{i = 1}^{n - 1}(a_{i})^{n - i + 1}.\\] \n\nFind all positive real numbers \\(c\\) such that \\(a_{i} > a_{i + 1}\\) for all positive integers \\(i\\) .", "solution": "\\(\\P\\) Solution (author) The answer is \\(c< \\frac{\\sqrt{5} - 1}{2}\\) \n\nTo show this is necessary, note that \\(a_{2} = c^{2}\\) and \\(a_{3} = c^{3} + c^{4}\\) , so if the sequence is decreasing, we have \\(c^{2} > c^{3} + c^{4}\\) , implying \\(c< \\frac{\\sqrt{5} - 1}{2}\\) \n\nIn the other direction, suppose \\(c\\) is a positive real number with \\(c< \\frac{\\sqrt{5} - 1}{2}\\) . We will apply strong induction. We have \n\n\\[a_1 = c\\] \\[a_2 = c^2\\] \\[a_3 = c^3 +c^4\\] \n\nso \\(a_{1} > a_{2}\\) (since \\(c< 1\\) ) and \\(a_{2} > a_{3}\\) (since \\(c< \\frac{\\sqrt{5} - 1}{2}\\) ). For the inductive step, we'll show \\(a_{n} > a_{n + 1}\\) assuming that \\(n\\geq 3\\) and \\(a_{i} > a_{i + 1}\\) for all \\(i< n\\) . We have \n\n\\[a_{1}^{n} = c^{n} > c^{n}(c + c^{2}) > c^{n}(c + c^{n}) = a_{1}^{n + 1} + a_{2}^{n}.\\] \n\nAlso, since \\(a_{i} > a_{i + 1}\\) for \\(i = 2,\\ldots ,n - 1\\) , we have \n\n\\[\\sum_{i = 2}^{n - 1}a_{i}^{n - i + 1} > \\sum_{i = 2}^{n - 1}a_{i + 1}^{n - i + 1} = \\sum_{j = 3}^{n}a_{j}^{n - j + 2},\\] \n\nwhere the equality comes from shifting indices to take \\(j = i + 1\\) . Thus \n\n\\[a_{n} = a_{1}^{n} + \\sum_{i = 2}^{n - 1}a_{i}^{n - i + 1} > a_{1}^{n + 1} + a_{2}^{n} + \\sum_{j = 3}^{n}a_{j}^{n - j + 2} = a_{n + 1},\\] \n\nas desired. This completes the induction step, finishing the solution. \n\nRemark (author). The behavior of the sequence for other values of \\(c\\) is interesting. In particular, computer experiments seem to indicate that, for \\(c = 0.655736876792\\) , the sequence starting from \\(a_{2}\\) increases to a value barely less than \\(\\frac{1}{2}\\) and then decreases, going to 0 as \\(n\\to \\infty\\) , while for \\(c = 0.655736876793\\) , the sequence starting from \\(a_{2}\\) is increasing and goes to infinity. We conjecture that some form of these patterns hold in general, and that there should exist some value of \\(c\\) with \\(0.655736876792< c< 0.655736876793\\) so that the sequence starting from \\(a_{2}\\) is increasing and \\(\\lim_{n\\to \\infty}a_{n} = \\frac{1}{2}\\) .\n\n\n\n\\(\\parallel\\) Solution (Pitchayut) We get \\(c< \\frac{\\sqrt{5} - 1}{2}\\) in the same way as the first solution. To show that any such \\(c\\) gives a strictly decreasing sequence, we use induction on \\(n\\) . The base cases of \\(n = 1,2\\) are clear. Let \\(t = \\frac{\\sqrt{5} - 1}{2}\\) , then \\(t^{2} + t = 1\\) . For the inductive step, assume \\(n\\geq 3\\) and \\(a_{1} > a_{2} > \\dots >a_{n - 1}\\) . Since \\(t > a_{1}\\) , \\(t\\) is greater than \\(a_{1},a_{2},\\ldots ,a_{n - 1}\\) . Furthermore, \\(t^{2} > a_{1}^{2} = a_{2}\\geq a_{n - 1}\\) . Thus \n\n\\[a_{n} = a_{1}^{n} + a_{2}^{n - 1} + \\dots +a_{n - 1}^{2}\\] \\[\\qquad < t(a_{1}^{n - 1} + a_{2}^{n - 2} + \\dots +a_{n - 2}^{2}) + t^{2}a_{n - 1}\\] \\[\\qquad = t a_{n - 1} + t^{2}a_{n - 1}\\] \\[\\qquad = a_{n - 1},\\] \n\nas desired.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 7. ", "solution_match": "## \\(\\S 3.1\\) Solution to TSTST 7, by Luke Robitaille \n"}} {"year": "2025", "tier": "T0", "problem_label": "8", "problem_type": null, "exam": "IMO", "problem": "Find all polynomials \\(f\\) with integer coefficients such that for all positive integers \\(n\\) , \n\n\\[n \\text{ divides } \\frac{f(f(\\ldots(f(0)) \\ldots) - 1}{n + 1 f^{\\mathrm{s}}}\\]", "solution": "There are three families. \n\n- \\(f(x) = x + 1\\) . \n\n- \\(f(x) = x(x - 1)g(x) + 1\\) for any polynomial \\(g(x)\\) (i.e., any \\(f(x)\\) such that \\(f(0) = f(1) = 1\\) ). \n\n- \\(f(x) = x(x - 1)(x + 1)g(x) + (2x^2 - 1)\\) for any polynomial \\(g(x)\\) (i.e., any \\(f(x)\\) such that \\(f(0) = -1\\) , \\(f(-1) = f(1) = 1\\) ). \n\nThese all clearly work, so we focus on proving that these are all solutions. \n\nClaim — For any prime \\(p\\) , either \n\n(a) \\(f(1) \\equiv 1\\) (mod \\(p\\) ) or \n\n(b) the directed graph of \\(f\\) in \\(\\mathbb{F}_p\\) forms a single cycle of size \\(p\\) . \n\nProof. Work modulo \\(p\\) . Consider the sequence \n\n\\[0,f(0),f(f(0)),\\ldots ,\\] \n\nwhich must be eventually periodic. Clearly 1 must be in the periodic part by taking \\(n\\) to be a large multiple of \\(p\\) . Now, note that since the non- periodic part must have size less than \\(p\\) , we have \n\n\\[\\left. \\begin{array}{l}{f^{p + 1}(0) = 1}\\\\ {f^{2p + 1}(0) = 1} \\end{array} \\right\\} \\Longrightarrow f^{p}(1) = 1,\\] \n\nso the period must divide \\(p\\) and hence must be either 1 or \\(p\\) . If it is 1, then \\(f(1) = 1\\) . Otherwise, (b) holds. \\(\\square\\) \n\nNext, we note that if \\(f(x) - x\\) is non- constant, then by Schur's theorem on \\(f(x) - x\\) , \\(f\\) has a fixed point modulo infinitely many primes \\(p\\) , so (b) fails for infinitely many primes \\(p\\) . This means that (a) holds for infinitely many primes \\(p\\) , so \\(f(1) = 1\\) . Therefore, either \\(f(x) - x\\) is constant or \\(f(1) = 1\\) . \n\nIn the case that \\(f(x) - x\\) a constant \\(c\\) , \\(f^{n + 1}(0) - 1 = (n + 1)c - 1\\) , so \\(n \\mid c - 1\\) for all \\(n\\) and \\(f(x) = x + 1\\) . Henceforth, assume \\(f(1) = 1\\) . \n\nSince \\(f(0) \\mid f^k (0)\\) for all \\(k\\) , plugging in \\(n = |f(0)|\\) gives \n\n\\[f(0) \\mid f^{|f(0)| + 1}(0) - 1 \\Longrightarrow f(0) \\mid 1 \\Longrightarrow f(0) = \\pm 1.\\] \n\nIf \\(f(0) = 1\\) , then we are done. Otherwise, assume \\(f(0) = - 1\\) . Then, \\(f(- 1)\\) is odd because \\(f(1) = 1\\) , so plugging in \\(n = |f(- 1)| = 2k - 1\\) gives \n\n\\[f(-1) \\mid f^{2k}(0) - 1.\\] \n\nWe have that \\(f^2 (0) = 0\\) modulo \\(f(- 1) = f^2 (0)\\) , so \\(f(- 1) \\mid 1\\) . This gives \\(f(- 1) = \\pm 1\\) . If \\(f(- 1) = - 1\\) , then we have \\(f^n (0) = - 1\\) for all \\(n \\geq 3\\) , which makes the divisibility condition fail. Hence, \\(f(- 1) = 1\\) , and we get the third solution set.\n\n\n\nRemark (author). An easier variant is to ask for all polynomials \\(f\\) with integer coefficients such that \\(n \\mid f^n (0)\\) for all positive integers \\(n\\) .", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 8. ", "solution_match": "## \\(\\S 3.2\\) Solution to TSTST 8, by Pitchayut Saengrungkonga \n"}} -{"year": "2025", "tier": "T0", "problem_label": "9", "problem_type": null, "exam": "IMO", "problem": "Let acute triangle \\(ABC\\) have orthocenter \\(H\\) . Let \\(B_{1}\\) , \\(C_{1}\\) , \\(B_{2}\\) , and \\(C_{2}\\) be collinear points which lie on lines \\(AB\\) , \\(AC\\) , \\(BH\\) , and \\(CH\\) , respectively. Let \\(\\omega_{B}\\) and \\(\\omega_{C}\\) be the circumcircles of triangles \\(BB_{1}B_{2}\\) and \\(CC_{1}C_{2}\\) , respectively. Prove that the radical axis of \\(\\omega_{B}\\) and \\(\\omega_{C}\\) intersects the line through their centers on the nine- point circle of triangle \\(ABC\\) .", "solution": "\\(\\P\\) Solution (author) The first important step is to introduce \\(N\\) , the circumcenter of \\(H B_{2}C_{2}\\) . \n\nClaim — Lines \\(N B_{2}\\) and \\(N C_{2}\\) are tangent to \\((B B_{1}B_{2})\\) and \\((C C_{1}C_{2})\\) , respectively. \n\nProof. This follows from chasing \n\n\\[\\angle N B_{2}B = \\angle N B_{2}H = 90^{\\circ} - \\angle H C_{2}B_{2} = \\angle B_{2}B_{1}B.\\] \n\nAn analogous proof works for the other side. \n\nSince \\(N B_{2} = N C_{2}\\) , it follows that \\(N\\) lies on the radical axis of \\((B B_{1}B_{2})\\) and \\((C C_{1}C_{2})\\) . Thus we want to show \\(X\\) , the foot of \\(N\\) onto \\(O_{B}O_{C}\\) , lies on the nine- point circle. \n\n![](data:image/jpeg;base64,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)\n \n\nLet \\(D\\) , \\(E\\) , \\(F\\) be the feet of the altitudes in \\(\\triangle A B C\\) , and let \\(M_{B}\\) , \\(M_{C}\\) be the midpoints of \\(B H\\) , \\(C H\\) . Let \\(B_{3}\\) , \\(C_{3}\\) be the second intersections of \\((B_{2}C_{2}H)\\) with \\((B B_{1}B_{2})\\) , \\((C C_{1}C_{2})\\) . \n\nClaim — Hexagons \\(O_{B}B_{2}B_{3}M_{B}X N\\) and \\(O_{C}C_{2}C_{3}M_{C}X N\\) are cyclic.\n\n\n\nProof. Clearly \\(B_{2}\\) , \\(B_{3}\\) and \\(X\\) lie on the circle of diameter \\(O_{B}N\\) . To show \\(M_{B}\\) lies in this circle, we first note that \\(BB_{3}HFD\\) is cyclic. Indeed, this follows from chasing \n\n\\[\\angle BB_{3}H = \\angle B_{2}B_{3}H - \\angle B_{2}B_{3}B = \\angle B_{2}C_{2}H - \\angle B_{2}B_{1}B = \\angle B_{1}FC_{2} = \\angle BFF.\\] \n\nThis circle has center \\(M_{B}\\) , so \\(O_{B}M_{B}\\) and \\(M_{B}N\\) are the perpendicular bisectors of \\(BB_{3}\\) , \\(B_{3}H\\) . Since \\(BB_{3} \\perp B_{3}H\\) , \\(O_{B}M_{B} \\perp M_{B}N\\) , as we wanted to show. \\(\\square\\) \n\nNow we are ready to finish. We know \\(\\angle M_{B}DM_{C} = \\angle M_{C}HM_{B} = \\angle BAC\\) . We will now show that \\(\\angle M_{B}XM_{C}\\) gives the same value. On one hand \n\n\\[\\angle M_{B}XO_{B} = \\angle M_{B}B_{2}O_{B} = \\angle BB_{2}O_{B} = 90^{\\circ} - \\angle B_{2}B_{1}B = 90^{\\circ} - \\angle C_{1}B_{1}A.\\] \n\nSimilarly \\(\\angle O_{C}XM_{C} = 90^{\\circ} - \\angle AC_{1}B_{1}\\) , so \n\n\\[\\angle M_{B}XM_{C} = (90^{\\circ} - \\angle C_{1}B_{1}A) + (90^{\\circ} - \\angle AC_{1}B_{1}) = \\angle BAC,\\] \n\nwhich establishes the result. \n\nRemark (author). Since the problem is symmetric under \\(A \\leftrightarrow H\\) , a similar solution can be found by considering the circumcenter of \\(\\triangle AB_{1}C_{1}\\) (instead of \\(N\\) ). Moreover, introducing both circumcenters adds more structure to the diagram, which can make it easier to finish. \n\nThe most important step in this solution is to introduce the point \\(N\\) . This can be motivated by noticing that the circles \\((BB_{1}B_{2})\\) and \\((HB_{2}C_{2})\\) are orthogonal. \n\nMoving Points Solution (Krishna) Let \\(E, F\\) be the feet of the \\(B, C\\) altitudes, as in the first solution. \n\nClaim — As \\(\\ell\\) varies while staying parallel to a fixed line, \\(\\overline{O_{B}O_{C}}\\) passes through a fixed point \\(Y\\) on the nine- point circle. \n\nProof. Move \\(\\ell\\) linearly. Then \\(\\triangle BB_{1}B_{2}\\) is dilating at \\(B\\) linearly, so \\(O_{B}\\) moves linearly. Similarly \\(O_{C}\\) moves linearly. Furthermore, we have that \n\n\\[\\angle \\overline{B O_{B}} = 90 + \\angle B A + \\angle B H - \\angle \\ell = \\angle B A + \\angle B C - \\angle \\ell ,\\] \n\nwhich by symmetry means \\(\\overline{B O_{B}} \\parallel \\overline{C O_{C}}\\) . Thus we need to find a point \\(Y\\) on the nine- point circle such that \\(O_{B} - O_{C} - Y\\) in 2 cases.\n\n\n![](data:image/jpeg;base64,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)\n \n\nSuppose \\(\\ell\\) passes through \\(H\\) . In that case, let \\(Q = (BB_{1}H)\\cap (CC_{1}H)\\) . We get that \\(Q\\) lies on \\((ABC)\\) by chasing \n\n\\[\\angle BQC = \\angle BQH + \\angle HQC = \\angle BB_{1}H + \\angle HC_{1}C = \\angle ABB_{1} + \\angle BC_{1}A = \\angle BAC.\\] \n\nThe perpendicular bisector of \\(\\overline{HQ}\\) is \\(\\overline{O_{B}O_{C}}\\) , and the midpoint of \\(HQ\\) lies on the nine- point circle. Let the perpendicular from \\(Q\\) to \\(\\overline{HQ}\\) intersect \\((ABC)\\) at \\(Y_{1}\\) . Then \n\n\\[\\angle BAY_{1} = \\angle BQY_{1} = 90 + \\angle BQH = 90 + \\angle AB_{1}H,\\] \n\nso \\(\\overline{AY_{1}}\\perp \\ell\\) . If \\(Y\\) is the midpoint of \\(HY_{1}\\) , then \\(Y\\) lies on \\(\\overline{O_{B}O_{C}}\\) and the nine- point circle of \\((ABC)\\) . The line between \\(Y\\) and the midpoint of \\(AH\\) is perpendicular to \\(\\ell\\) . Hence when \\(\\ell\\) passes through \\(A\\) , by symmetry we also get \\(O_{B} - O_{C} - Y\\) , as desired (this angle chase is basically done as part of 2019 TSTST 5). \\(\\square\\) \n\nLet \\(P_{\\infty}\\) be the point at infinity of \\(\\ell\\) , and let \\(P = r\\cap \\ell\\) . Since \\(PB_{1}\\cdot PB_{2} = PC_{1}\\cdot PC_{2}\\) (with signed lengths), we have that \\((P,P_{\\infty}),(B_{1},B_{2}),(C_{1},C_{2})\\) are 3 pairs under the same involution on \\(\\ell\\) . Then by DIT on the 4 points \\(A,H,E,F\\) and the line \\(\\ell\\) , if \\(\\mathcal{C}\\) is the conic through \\(A,H,E,F,P_{\\infty}\\) , then \\(P\\) also lies on \\(\\mathcal{C}\\) . Now we do moving points.\n\n\n![](data:image/jpeg;base64,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)\n \n\n- Let \\(P_{\\infty}\\) be a sufficiently general fixed point at infinity (proving the problem for sufficiently general \\(P_{\\infty}\\) suffices by continuity. \n\n- Define \\(P\\) as a moving point with degree 2 varying on the conic through \\(A, H, E, F, P_{\\infty}\\) . \n\n- As we let \\(P\\) vary and we let \\(\\ell = \\overline{PP_{\\infty}}\\) , we get that \\(\\overline{PP_{\\infty}}\\) has degree 1 so \\(B_{1}\\) has degree 1. The perpendicular bisector of \\(BB_{1}\\) then has degree 1, and \\(\\overline{BO_{B}}\\) is fixed so \\(O_{B}\\) has degree 1. \n\n- \\(Y\\) has degree 0, and the antipode \\(Y'\\) of \\(Y\\) on the nine-point circle has degree 0. It suffices to show that \\(\\overline{Y'P} \\perp \\overline{OBY}\\) . \n\n- \\(\\overline{Y'P}\\) has degree \\(\\leq 2\\) and \\(\\overline{OBY}\\) has degree 1, so we get a degree 3 statement that needs to be checked at 4 cases. \n\nWe can do \\(P = A, H, E, F\\) . \\(P = H\\) and \\(P = A\\) are true by previous work. By symmetry, to solve \\(P = E\\) and \\(P = F\\) we only need to look at \\(P = E\\) . In this case, we want to show that \\(E - OB = OC\\) . \n\n\\[\\angle EOB = \\angle BA + \\angle \\ell -\\angle BH = 90 + \\angle CH + \\angle \\ell -90 - \\angle AC = 90 - 90 + \\angle EOC = \\angle EOC,\\] \n\nas desired. \n\n\\(\\P\\) Solution (Vivian Loh) Let \\(S_{B} = (BH) \\cap (BB_{1}B_{2})\\) , and \\(S_{C} = (CH) \\cap (CC_{1}C_{2})\\) . Then \\(S_{B}\\) and \\(S_{C}\\) are the Miquel points of complete quadrilaterals \\(\\{B, B_{1}, B_{2}, H, C_{2}, CH \\cap AB\\}\\) and \\(\\{C, C_{1}, C_{2}, H, B_{2}, BH \\cap AC\\}\\) respectively, so \\(S_{B}\\) and \\(S_{C}\\) both lie on \\((HB_{2}C_{2})\\) . Furthermore, by radical center, \\(P = B_{2}S_{B} \\cap C_{2}S_{C}\\) lies on the radical axis of \\(\\omega_{B}\\) , \\(\\omega_{C}\\) . Also note that if \\(H'\\) is the antipode of \\(H\\) with respect to \\((HB_{2}C_{2})\\) , then \\(S_{B}\\) and \\(S_{C}\\) are the projections of \\(H\\) onto \\(BH'\\) and \\(CH'\\) , respectively. Note that the 6 points \\(H, B_{2}, C_{2}, H', S_{B}, S_{C}\\) all lie on \\((HH')\\) .\n\n\n\nClaim 3.1 — If \\(O_{B}\\) and \\(O_{C}\\) are the centers of \\(\\omega_{B}\\) and \\(\\omega_{C}\\) respectively, then \\(O_{B}\\) is the intersection of tangents to \\((HH^{\\prime})\\) at \\(B_{2}\\) and \\(S_{B}\\) , while \\(O_{C}\\) is the intersection of tangents to \\((HH^{\\prime})\\) at \\(C_{2}\\) and \\(S_{C}\\) . \n\nProof. Angle chasing; \\(\\angle B_{2}O_{B}S_{B} = 2\\angle B_{2}BS_{B} = 2(90^{\\circ} - \\angle BHS_{B}) = 180^{\\circ} - 2\\angle BHS_{B}\\) . It works for \\(O_{C}\\) similarly. \\(\\square\\) \n\nClaim 3.2 — \\(O_{B}O_{C}\\) is the polar of \\(P\\) with respect to \\((HH^{\\prime})\\) . \n\nProof. By the definition of poles and polars, \\(B_{2}S_{B}\\) is the polar of \\(O_{B}\\) and \\(C_{2}S_{C}\\) is the polar of \\(O_{C}\\) , and by La Hire's, we know that a point lies on the polar of \\(O_{B}\\) and the polar of \\(O_{C}\\) if and only if \\(O_{B}\\) and \\(O_{C}\\) both lie on its polar, so \\(O_{B}O_{C}\\) is the polar of \\(B_{2}S_{B} \\cap C_{2}S_{C} = P\\) . \\(\\square\\) \n\nSince \\(P\\) lies on the radical axis of \\(\\omega_{B}\\) and \\(\\omega_{C}\\) , the desired point in the problem (the intersection of the radical axis and \\(O_{B}O_{C}\\) ) is the foot from \\(P\\) to \\(O_{B}O_{C}\\) , which is the inverse \\(P^{*}\\) of \\(P\\) about \\((HH^{\\prime})\\) . It suffices to show that this point lies on the nine- point circle of \\(\\triangle ABC\\) . \n\nLet \\(M_{B}\\) and \\(M_{C}\\) be the midpoints of \\(HB\\) and \\(HC\\) . Then the nine- point circle of \\(\\triangle ABC\\) passes through \\(M_{B}\\) , \\(M_{C}\\) , and the foot from \\(H\\) to \\(BC\\) , so \\(P^{*}\\) lies on this nine- point circle if and only if \\(\\angle M_{B}P^{*}M_{C} = \\angle BHC\\) . \n\nClaim 3.3 — \\(M_{B}^{*} \\in B_{2}S_{B}\\) , \\(M_{C}^{*} \\in C_{2}S_{C}\\) . \n\nProof. This is simply angle chasing. We will show that \\(M_{C}^{*} \\in C_{2}S_{C}\\) . Let \\(O\\) be the center of \\((HH^{\\prime})\\) . Then \\(\\angle O M_{C}H = \\angle O H M_{C}^{*}\\) , which equals \\(\\angle O S_{C}M_{C}^{*}\\) since \\(O M_{C} \\perp H S_{C}\\) . However, \\(\\angle O S_{C}C_{2} = \\angle H S_{C}C_{2} - \\angle H S_{C}O = \\angle (H C_{2}, S_{C}H^{\\prime}) = \\angle O M_{C}H\\) , so \\(M_{C}^{*} \\in C_{2}S_{C}\\) , and \\(M_{B}^{*}\\) follows similarly. \\(\\square\\) \n\nThe last part is just angle chasing. We know from before that it is sufficient to show \\(\\angle M_{B}P^{*}M_{C} = \\angle BHC\\) . We have: \\(\\angle M_{B}P^{*}M_{C} = \\angle OP^{*}M_{B} + \\angle OP^{*}M_{C} = \\angle OM_{B}^{*}P + \\angle OM_{C}^{*}P = 360^{\\circ} - \\angle M_{B}^{*}OM_{C}^{*} - \\angle M_{B}^{*}PM_{C}^{*} = 360^{\\circ} - \\angle S_{C}PS_{B} - \\angle S_{C}H^{\\prime}S_{B} = \\angle H^{\\prime}S_{B}P + \\angle H^{\\prime}S_{C}P = \\angle B_{2}HC_{2} = \\angle BHC\\) , as desired.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 9. ", "solution_match": "## \\(\\S 3.3\\) Solution to TSTST 9, by Ruben Carpenter \n"}} +{"year": "2025", "tier": "T0", "problem_label": "9", "problem_type": null, "exam": "IMO", "problem": "Let acute triangle \\(ABC\\) have orthocenter \\(H\\) . Let \\(B_{1}\\) , \\(C_{1}\\) , \\(B_{2}\\) , and \\(C_{2}\\) be collinear points which lie on lines \\(AB\\) , \\(AC\\) , \\(BH\\) , and \\(CH\\) , respectively. Let \\(\\omega_{B}\\) and \\(\\omega_{C}\\) be the circumcircles of triangles \\(BB_{1}B_{2}\\) and \\(CC_{1}C_{2}\\) , respectively. Prove that the radical axis of \\(\\omega_{B}\\) and \\(\\omega_{C}\\) intersects the line through their centers on the nine- point circle of triangle \\(ABC\\) .", "solution": "\\(\\P\\) Solution (author) The first important step is to introduce \\(N\\) , the circumcenter of \\(H B_{2}C_{2}\\) . \n\nClaim — Lines \\(N B_{2}\\) and \\(N C_{2}\\) are tangent to \\((B B_{1}B_{2})\\) and \\((C C_{1}C_{2})\\) , respectively. \n\nProof. This follows from chasing \n\n\\[\\angle N B_{2}B = \\angle N B_{2}H = 90^{\\circ} - \\angle H C_{2}B_{2} = \\angle B_{2}B_{1}B.\\] \n\nAn analogous proof works for the other side. \n\nSince \\(N B_{2} = N C_{2}\\) , it follows that \\(N\\) lies on the radical axis of \\((B B_{1}B_{2})\\) and \\((C C_{1}C_{2})\\) . Thus we want to show \\(X\\) , the foot of \\(N\\) onto \\(O_{B}O_{C}\\) , lies on the nine- point circle. \n\n![md5:93a2d3d418a640e4f2be328181d86da1](93a2d3d418a640e4f2be328181d86da1.jpeg)\n \n\nLet \\(D\\) , \\(E\\) , \\(F\\) be the feet of the altitudes in \\(\\triangle A B C\\) , and let \\(M_{B}\\) , \\(M_{C}\\) be the midpoints of \\(B H\\) , \\(C H\\) . Let \\(B_{3}\\) , \\(C_{3}\\) be the second intersections of \\((B_{2}C_{2}H)\\) with \\((B B_{1}B_{2})\\) , \\((C C_{1}C_{2})\\) . \n\nClaim — Hexagons \\(O_{B}B_{2}B_{3}M_{B}X N\\) and \\(O_{C}C_{2}C_{3}M_{C}X N\\) are cyclic.\n\n\n\nProof. Clearly \\(B_{2}\\) , \\(B_{3}\\) and \\(X\\) lie on the circle of diameter \\(O_{B}N\\) . To show \\(M_{B}\\) lies in this circle, we first note that \\(BB_{3}HFD\\) is cyclic. Indeed, this follows from chasing \n\n\\[\\angle BB_{3}H = \\angle B_{2}B_{3}H - \\angle B_{2}B_{3}B = \\angle B_{2}C_{2}H - \\angle B_{2}B_{1}B = \\angle B_{1}FC_{2} = \\angle BFF.\\] \n\nThis circle has center \\(M_{B}\\) , so \\(O_{B}M_{B}\\) and \\(M_{B}N\\) are the perpendicular bisectors of \\(BB_{3}\\) , \\(B_{3}H\\) . Since \\(BB_{3} \\perp B_{3}H\\) , \\(O_{B}M_{B} \\perp M_{B}N\\) , as we wanted to show. \\(\\square\\) \n\nNow we are ready to finish. We know \\(\\angle M_{B}DM_{C} = \\angle M_{C}HM_{B} = \\angle BAC\\) . We will now show that \\(\\angle M_{B}XM_{C}\\) gives the same value. On one hand \n\n\\[\\angle M_{B}XO_{B} = \\angle M_{B}B_{2}O_{B} = \\angle BB_{2}O_{B} = 90^{\\circ} - \\angle B_{2}B_{1}B = 90^{\\circ} - \\angle C_{1}B_{1}A.\\] \n\nSimilarly \\(\\angle O_{C}XM_{C} = 90^{\\circ} - \\angle AC_{1}B_{1}\\) , so \n\n\\[\\angle M_{B}XM_{C} = (90^{\\circ} - \\angle C_{1}B_{1}A) + (90^{\\circ} - \\angle AC_{1}B_{1}) = \\angle BAC,\\] \n\nwhich establishes the result. \n\nRemark (author). Since the problem is symmetric under \\(A \\leftrightarrow H\\) , a similar solution can be found by considering the circumcenter of \\(\\triangle AB_{1}C_{1}\\) (instead of \\(N\\) ). Moreover, introducing both circumcenters adds more structure to the diagram, which can make it easier to finish. \n\nThe most important step in this solution is to introduce the point \\(N\\) . This can be motivated by noticing that the circles \\((BB_{1}B_{2})\\) and \\((HB_{2}C_{2})\\) are orthogonal. \n\nMoving Points Solution (Krishna) Let \\(E, F\\) be the feet of the \\(B, C\\) altitudes, as in the first solution. \n\nClaim — As \\(\\ell\\) varies while staying parallel to a fixed line, \\(\\overline{O_{B}O_{C}}\\) passes through a fixed point \\(Y\\) on the nine- point circle. \n\nProof. Move \\(\\ell\\) linearly. Then \\(\\triangle BB_{1}B_{2}\\) is dilating at \\(B\\) linearly, so \\(O_{B}\\) moves linearly. Similarly \\(O_{C}\\) moves linearly. Furthermore, we have that \n\n\\[\\angle \\overline{B O_{B}} = 90 + \\angle B A + \\angle B H - \\angle \\ell = \\angle B A + \\angle B C - \\angle \\ell ,\\] \n\nwhich by symmetry means \\(\\overline{B O_{B}} \\parallel \\overline{C O_{C}}\\) . Thus we need to find a point \\(Y\\) on the nine- point circle such that \\(O_{B} - O_{C} - Y\\) in 2 cases.\n\n\n![md5:87cf228d192824f22500a54631d83e64](87cf228d192824f22500a54631d83e64.jpeg)\n \n\nSuppose \\(\\ell\\) passes through \\(H\\) . In that case, let \\(Q = (BB_{1}H)\\cap (CC_{1}H)\\) . We get that \\(Q\\) lies on \\((ABC)\\) by chasing \n\n\\[\\angle BQC = \\angle BQH + \\angle HQC = \\angle BB_{1}H + \\angle HC_{1}C = \\angle ABB_{1} + \\angle BC_{1}A = \\angle BAC.\\] \n\nThe perpendicular bisector of \\(\\overline{HQ}\\) is \\(\\overline{O_{B}O_{C}}\\) , and the midpoint of \\(HQ\\) lies on the nine- point circle. Let the perpendicular from \\(Q\\) to \\(\\overline{HQ}\\) intersect \\((ABC)\\) at \\(Y_{1}\\) . Then \n\n\\[\\angle BAY_{1} = \\angle BQY_{1} = 90 + \\angle BQH = 90 + \\angle AB_{1}H,\\] \n\nso \\(\\overline{AY_{1}}\\perp \\ell\\) . If \\(Y\\) is the midpoint of \\(HY_{1}\\) , then \\(Y\\) lies on \\(\\overline{O_{B}O_{C}}\\) and the nine- point circle of \\((ABC)\\) . The line between \\(Y\\) and the midpoint of \\(AH\\) is perpendicular to \\(\\ell\\) . Hence when \\(\\ell\\) passes through \\(A\\) , by symmetry we also get \\(O_{B} - O_{C} - Y\\) , as desired (this angle chase is basically done as part of 2019 TSTST 5). \\(\\square\\) \n\nLet \\(P_{\\infty}\\) be the point at infinity of \\(\\ell\\) , and let \\(P = r\\cap \\ell\\) . Since \\(PB_{1}\\cdot PB_{2} = PC_{1}\\cdot PC_{2}\\) (with signed lengths), we have that \\((P,P_{\\infty}),(B_{1},B_{2}),(C_{1},C_{2})\\) are 3 pairs under the same involution on \\(\\ell\\) . Then by DIT on the 4 points \\(A,H,E,F\\) and the line \\(\\ell\\) , if \\(\\mathcal{C}\\) is the conic through \\(A,H,E,F,P_{\\infty}\\) , then \\(P\\) also lies on \\(\\mathcal{C}\\) . Now we do moving points.\n\n\n![md5:09f127c13e8fcffeff21cf1bc41869ca](09f127c13e8fcffeff21cf1bc41869ca.jpeg)\n \n\n- Let \\(P_{\\infty}\\) be a sufficiently general fixed point at infinity (proving the problem for sufficiently general \\(P_{\\infty}\\) suffices by continuity. \n\n- Define \\(P\\) as a moving point with degree 2 varying on the conic through \\(A, H, E, F, P_{\\infty}\\) . \n\n- As we let \\(P\\) vary and we let \\(\\ell = \\overline{PP_{\\infty}}\\) , we get that \\(\\overline{PP_{\\infty}}\\) has degree 1 so \\(B_{1}\\) has degree 1. The perpendicular bisector of \\(BB_{1}\\) then has degree 1, and \\(\\overline{BO_{B}}\\) is fixed so \\(O_{B}\\) has degree 1. \n\n- \\(Y\\) has degree 0, and the antipode \\(Y'\\) of \\(Y\\) on the nine-point circle has degree 0. It suffices to show that \\(\\overline{Y'P} \\perp \\overline{OBY}\\) . \n\n- \\(\\overline{Y'P}\\) has degree \\(\\leq 2\\) and \\(\\overline{OBY}\\) has degree 1, so we get a degree 3 statement that needs to be checked at 4 cases. \n\nWe can do \\(P = A, H, E, F\\) . \\(P = H\\) and \\(P = A\\) are true by previous work. By symmetry, to solve \\(P = E\\) and \\(P = F\\) we only need to look at \\(P = E\\) . In this case, we want to show that \\(E - OB = OC\\) . \n\n\\[\\angle EOB = \\angle BA + \\angle \\ell -\\angle BH = 90 + \\angle CH + \\angle \\ell -90 - \\angle AC = 90 - 90 + \\angle EOC = \\angle EOC,\\] \n\nas desired. \n\n\\(\\P\\) Solution (Vivian Loh) Let \\(S_{B} = (BH) \\cap (BB_{1}B_{2})\\) , and \\(S_{C} = (CH) \\cap (CC_{1}C_{2})\\) . Then \\(S_{B}\\) and \\(S_{C}\\) are the Miquel points of complete quadrilaterals \\(\\{B, B_{1}, B_{2}, H, C_{2}, CH \\cap AB\\}\\) and \\(\\{C, C_{1}, C_{2}, H, B_{2}, BH \\cap AC\\}\\) respectively, so \\(S_{B}\\) and \\(S_{C}\\) both lie on \\((HB_{2}C_{2})\\) . Furthermore, by radical center, \\(P = B_{2}S_{B} \\cap C_{2}S_{C}\\) lies on the radical axis of \\(\\omega_{B}\\) , \\(\\omega_{C}\\) . Also note that if \\(H'\\) is the antipode of \\(H\\) with respect to \\((HB_{2}C_{2})\\) , then \\(S_{B}\\) and \\(S_{C}\\) are the projections of \\(H\\) onto \\(BH'\\) and \\(CH'\\) , respectively. Note that the 6 points \\(H, B_{2}, C_{2}, H', S_{B}, S_{C}\\) all lie on \\((HH')\\) .\n\n\n\nClaim 3.1 — If \\(O_{B}\\) and \\(O_{C}\\) are the centers of \\(\\omega_{B}\\) and \\(\\omega_{C}\\) respectively, then \\(O_{B}\\) is the intersection of tangents to \\((HH^{\\prime})\\) at \\(B_{2}\\) and \\(S_{B}\\) , while \\(O_{C}\\) is the intersection of tangents to \\((HH^{\\prime})\\) at \\(C_{2}\\) and \\(S_{C}\\) . \n\nProof. Angle chasing; \\(\\angle B_{2}O_{B}S_{B} = 2\\angle B_{2}BS_{B} = 2(90^{\\circ} - \\angle BHS_{B}) = 180^{\\circ} - 2\\angle BHS_{B}\\) . It works for \\(O_{C}\\) similarly. \\(\\square\\) \n\nClaim 3.2 — \\(O_{B}O_{C}\\) is the polar of \\(P\\) with respect to \\((HH^{\\prime})\\) . \n\nProof. By the definition of poles and polars, \\(B_{2}S_{B}\\) is the polar of \\(O_{B}\\) and \\(C_{2}S_{C}\\) is the polar of \\(O_{C}\\) , and by La Hire's, we know that a point lies on the polar of \\(O_{B}\\) and the polar of \\(O_{C}\\) if and only if \\(O_{B}\\) and \\(O_{C}\\) both lie on its polar, so \\(O_{B}O_{C}\\) is the polar of \\(B_{2}S_{B} \\cap C_{2}S_{C} = P\\) . \\(\\square\\) \n\nSince \\(P\\) lies on the radical axis of \\(\\omega_{B}\\) and \\(\\omega_{C}\\) , the desired point in the problem (the intersection of the radical axis and \\(O_{B}O_{C}\\) ) is the foot from \\(P\\) to \\(O_{B}O_{C}\\) , which is the inverse \\(P^{*}\\) of \\(P\\) about \\((HH^{\\prime})\\) . It suffices to show that this point lies on the nine- point circle of \\(\\triangle ABC\\) . \n\nLet \\(M_{B}\\) and \\(M_{C}\\) be the midpoints of \\(HB\\) and \\(HC\\) . Then the nine- point circle of \\(\\triangle ABC\\) passes through \\(M_{B}\\) , \\(M_{C}\\) , and the foot from \\(H\\) to \\(BC\\) , so \\(P^{*}\\) lies on this nine- point circle if and only if \\(\\angle M_{B}P^{*}M_{C} = \\angle BHC\\) . \n\nClaim 3.3 — \\(M_{B}^{*} \\in B_{2}S_{B}\\) , \\(M_{C}^{*} \\in C_{2}S_{C}\\) . \n\nProof. This is simply angle chasing. We will show that \\(M_{C}^{*} \\in C_{2}S_{C}\\) . Let \\(O\\) be the center of \\((HH^{\\prime})\\) . Then \\(\\angle O M_{C}H = \\angle O H M_{C}^{*}\\) , which equals \\(\\angle O S_{C}M_{C}^{*}\\) since \\(O M_{C} \\perp H S_{C}\\) . However, \\(\\angle O S_{C}C_{2} = \\angle H S_{C}C_{2} - \\angle H S_{C}O = \\angle (H C_{2}, S_{C}H^{\\prime}) = \\angle O M_{C}H\\) , so \\(M_{C}^{*} \\in C_{2}S_{C}\\) , and \\(M_{B}^{*}\\) follows similarly. \\(\\square\\) \n\nThe last part is just angle chasing. We know from before that it is sufficient to show \\(\\angle M_{B}P^{*}M_{C} = \\angle BHC\\) . We have: \\(\\angle M_{B}P^{*}M_{C} = \\angle OP^{*}M_{B} + \\angle OP^{*}M_{C} = \\angle OM_{B}^{*}P + \\angle OM_{C}^{*}P = 360^{\\circ} - \\angle M_{B}^{*}OM_{C}^{*} - \\angle M_{B}^{*}PM_{C}^{*} = 360^{\\circ} - \\angle S_{C}PS_{B} - \\angle S_{C}H^{\\prime}S_{B} = \\angle H^{\\prime}S_{B}P + \\angle H^{\\prime}S_{C}P = \\angle B_{2}HC_{2} = \\angle BHC\\) , as desired.", "metadata": {"resource_path": "USA_TSTST/segmented/en-sols-TSTST-2025.jsonl", "problem_match": "Problem 9. ", "solution_match": "## \\(\\S 3.3\\) Solution to TSTST 9, by Ruben Carpenter \n"}} diff --git a/images.parquet b/images.parquet new file mode 100644 index 0000000000000000000000000000000000000000..dbddfee0d49f7b6367173eac9034e59a5d05ceef --- /dev/null +++ b/images.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e7c6c9a7756c9027a0d4236d067e62baf2459cfe58641413430b87ac2df09cb +size 3932371 diff --git a/images_extract.py b/images_extract.py new file mode 100644 index 0000000000000000000000000000000000000000..cb2d76281bed3079fef48a83620462c2c451ef06 --- /dev/null +++ b/images_extract.py @@ -0,0 +1,65 @@ +import base64 +import re +import hashlib +from pathlib import Path +import sys +from datasets import Dataset, concatenate_datasets + +if __name__ == "__main__": + project_root = Path(__file__).parent + images_parquet = project_root / "images.parquet" + + pattern = re.compile( + r"!\[[^\]]*?\]\(data\:image/(?P\w+)\;base64\,(?P[A-Za-z0-9+/=]+?)\)" + ) + md_files = filter(lambda x: x.name != "README.md", project_root.glob("**/*.md")) + json_files = project_root.glob("**/*.jsonl") + + hashs = [] + images = [] + + for md_file in md_files: + text = md_file.read_text() + matches = pattern.finditer(text) + + for match in matches: + b64_data = match.group("data") + img_type = match.group("type") + img_data = base64.b64decode(b64_data) + hash_digest = hashlib.md5(img_data).hexdigest() + + hashs.append(hash_digest) + images.append(img_data) + + new_md_link = f"![md5:{hash_digest}]({hash_digest}.{img_type})" + text = text.replace(match.group(0), new_md_link) + + md_file.write_text(text, encoding="utf-8") + + # for json_file in json_files: + # text = json_file.read_text() + # matches = pattern.finditer(text) + + # for match in matches: + # b64_data = match.group("data") + # img_type = match.group("type") + # img_data = base64.b64decode(b64_data) + # hash_digest = hashlib.md5(img_data).hexdigest() + + # new_md_link = f"![md5:{hash_digest}]({hash_digest}.{img_type})" + # text = text.replace(match.group(0), new_md_link) + + # json_file.write_text(text, encoding="utf-8") + + ds = Dataset.from_dict({"hash": hashs, "image": images}) + if len(images) == 0: + print("No images found, exiting.") + sys.exit(0) + + if images_parquet.exists(): + print("Existing images parquet found, loading and concatenating.") + old_ds = Dataset.from_parquet(images_parquet) + ds = concatenate_datasets([old_ds, ds]) + + ds.to_parquet(images_parquet) + print(f"Extracted {len(images)} images to {images_parquet}")