{"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": 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 \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": "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."}}
{"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 (except that we prove that for each \\(i\\in \\{0,1,\\ldots ,n - 1\\}\\) , there exists \\(j\\in \\{0,1,\\ldots ,n - 1\\}\\) with \\(\\nu_{2}(a_{j}) = i\\) , uniqueness follows immediately). For the induction step, let us consider the polynomial  \n\n\\[P(X) = \\prod_{j = 0}^{n - 1}\\left(X^{a_{j}} + 1\\right).\\]  \n\nThe condition in the statement implies that  \n\n\\[P(X)\\equiv \\sum_{i = 0}^{2^{n} - 1}X^{i}\\pmod {X^{2^{n}} - 1}.\\]  \n\nSince  \n\n\\[\\sum_{i = 0}^{2^{n} - 1}X^{i} = \\frac{X^{2^{n}} - 1}{X - 1} = \\frac{X^{2^{n} - 1} - 1}{X - 1}\\cdot \\left(X^{2^{n} - 1} + 1\\right),\\]  \n\nwe know that \\(P(X)\\) is divisible by \\(X^{2^{n} - 1} + 1\\) . Let \\(\\omega \\in \\mathbb{C}\\) be a primitive \\(2^{n}\\) - th root of unity. Thus \\(\\omega^{2^{n} - 1} = - 1\\) and \\(P(\\omega) = 0\\) . There exists thus \\(j\\in \\{0,1,\\ldots ,n - 1\\}\\) such that \\(\\omega^{a_{j}} = - 1\\) . This means that \\(a_{j} = (2k + 1)2^{n - 1}\\) for some integer \\(k\\) , i.e., \\(\\nu_{2}(a_{j}) = n - 1\\) . It is then obvious that the other ones satisfy the property for \\(n - 1\\) and we conclude by the inductive hypothesis.", "metadata": {"resource_path": "Benelux_MO/segmented/Benelux_en-olympiad_en-bxmo-problems-2025-zz.jsonl", "problem_match": "\nProblem 4.", "solution_match": "\nAlternative Solution."}}