101 research outputs found

    Group Marriage Problem

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    Let GG be a permutation group acting on [n]={1,...,n}[n]=\{1, ..., n\} and V={Vi:i=1,...,n}\mathcal{V}=\{V_{i}: i=1, ..., n\} be a system of nn subsets of [n][n]. When is there an element g∈Gg \in G so that g(i)∈Vig(i) \in V_{i} for each i∈[n]i \in [n]? If such gg exists, we say that GG has a GG-marriage subject to V\mathcal{V}. An obvious necessary condition is the {\it orbit condition}: for any βˆ…=ΜΈYβŠ†[n]\emptyset \not = Y \subseteq [n], ⋃y∈YVyβŠ‡Yg={g(y):y∈Y}\bigcup_{y \in Y} V_{y} \supseteq Y^{g}=\{g(y): y \in Y \} for some g∈Gg \in G. Keevash (J. Combin. Theory Ser. A 111(2005), 289--309) observed that the orbit condition is sufficient when GG is the symmetric group \Sym([n]); this is in fact equivalent to the celebrated Hall's Marriage Theorem. We prove that the orbit condition is sufficient if and only if GG is a direct product of symmetric groups. We extend the notion of orbit condition to that of kk-orbit condition and prove that if GG is the alternating group \Alt([n]) or the cyclic group CnC_{n} where nβ‰₯4n \ge 4, then GG satisfies the (nβˆ’1)(n-1)-orbit condition subject to \V if and only if GG has a GG-marriage subject to V\mathcal{V}

    Gallai-Edmonds Structure Theorem for Weighted Matching Polynomial

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    In this paper, we prove the Gallai-Edmonds structure theorem for the most general matching polynomial. Our result implies the Parter-Wiener theorem and its recent generalization about the existence of principal submatrices of a Hermitian matrix whose graph is a tree. keywords:Comment: 34 pages, 5 figure

    Cyclic decomposition of k-permutations and eigenvalues of the arrangement graphs

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    The (n,k)-arrangement graph A(n,k) is a graph with all the k-permutations of an n-element set as vertices where two k-permutations are adjacent if they agree in exactly k-1 positions. We introduce a cyclic decomposition for k-permutations and show that this gives rise to a very fine equitable partition of A(n,k). This equitable partition can be employed to compute the complete set of eigenvalues (of the adjacency matrix) of A(n,k). Consequently, we determine the eigenvalues of A(n,k) for small values of k. Finally, we show that any eigenvalue of the Johnson graph J(n,k) is an eigenvalue of A(n,k) and that -k is the smallest eigenvalue of A(n,k) with multiplicity O(n^k) for fixed k.Comment: 18 pages. Revised version according to a referee suggestion
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