408 research outputs found

    Transversals in 44-Uniform Hypergraphs

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    Let HH be a 33-regular 44-uniform hypergraph on nn vertices. The transversal number τ(H)\tau(H) of HH is the minimum number of vertices that intersect every edge. Lai and Chang [J. Combin. Theory Ser. B 50 (1990), 129--133] proved that τ(H)7n/18\tau(H) \le 7n/18. Thomass\'{e} and Yeo [Combinatorica 27 (2007), 473--487] improved this bound and showed that τ(H)8n/21\tau(H) \le 8n/21. We provide a further improvement and prove that τ(H)3n/8\tau(H) \le 3n/8, which is best possible due to a hypergraph of order eight. More generally, we show that if HH is a 44-uniform hypergraph on nn vertices and mm edges with maximum degree Δ(H)3\Delta(H) \le 3, then τ(H)n/4+m/6\tau(H) \le n/4 + m/6, which proves a known conjecture. We show that an easy corollary of our main result is that the total domination number of a graph on nn vertices with minimum degree at least~4 is at most 3n/73n/7, which was the main result of the Thomass\'{e}-Yeo paper [Combinatorica 27 (2007), 473--487].Comment: 41 page

    Hypergraphs and hypermatrices with symmetric spectrum

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    It is well known that a graph is bipartite if and only if the spectrum of its adjacency matrix is symmetric. In the present paper, this assertion is dissected into three separate matrix results of wider scope, which are extended also to hypermatrices. To this end the concept of bipartiteness is generalized by a new monotone property of cubical hypermatrices, called odd-colorable matrices. It is shown that a nonnegative symmetric rr-matrix AA has a symmetric spectrum if and only if rr is even and AA is odd-colorable. This result also solves a problem of Pearson and Zhang about hypergraphs with symmetric spectrum and disproves a conjecture of Zhou, Sun, Wang, and Bu. Separately, similar results are obtained for the HH-spectram of hypermatrices.Comment: 17 pages. Corrected proof on p. 1

    An asymptotic bound for the strong chromatic number

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    The strong chromatic number χs(G)\chi_{\text{s}}(G) of a graph GG on nn vertices is the least number rr with the following property: after adding rn/rnr \lceil n/r \rceil - n isolated vertices to GG and taking the union with any collection of spanning disjoint copies of KrK_r in the same vertex set, the resulting graph has a proper vertex-colouring with rr colours. We show that for every c>0c > 0 and every graph GG on nn vertices with Δ(G)cn\Delta(G) \ge cn, χs(G)(2+o(1))Δ(G)\chi_{\text{s}}(G) \leq (2 + o(1)) \Delta(G), which is asymptotically best possible.Comment: Minor correction, accepted for publication in Combin. Probab. Compu

    Rainbow perfect matchings in r-partite graph structures

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    A matching M in an edge–colored (hyper)graph is rainbow if each pair of edges in M have distinct colors. We extend the result of Erdos and Spencer on the existence of rainbow perfect matchings in the complete bipartite graph Kn,n to complete bipartite multigraphs, dense regular bipartite graphs and complete r-partite r-uniform hypergraphs. The proof of the results use the Lopsided version of the Local Lovász Lemma.Peer ReviewedPostprint (author's final draft

    Bounds on the Game Transversal Number in Hypergraphs

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    Let H=(V,E)H = (V,E) be a hypergraph with vertex set VV and edge set EE of order \nH = |V| and size \mH = |E|. A transversal in HH is a subset of vertices in HH that has a nonempty intersection with every edge of HH. A vertex hits an edge if it belongs to that edge. The transversal game played on HH involves of two players, \emph{Edge-hitter} and \emph{Staller}, who take turns choosing a vertex from HH. Each vertex chosen must hit at least one edge not hit by the vertices previously chosen. The game ends when the set of vertices chosen becomes a transversal in HH. Edge-hitter wishes to minimize the number of vertices chosen in the game, while Staller wishes to maximize it. The \emph{game transversal number}, τg(H)\tau_g(H), of HH is the number of vertices chosen when Edge-hitter starts the game and both players play optimally. We compare the game transversal number of a hypergraph with its transversal number, and also present an important fact concerning the monotonicity of τg\tau_g, that we call the Transversal Continuation Principle. It is known that if HH is a hypergraph with all edges of size at least~22, and HH is not a 44-cycle, then \tau_g(H) \le \frac{4}{11}(\nH+\mH); and if HH is a (loopless) graph, then \tau_g(H) \le \frac{1}{3}(\nH + \mH + 1). We prove that if HH is a 33-uniform hypergraph, then \tau_g(H) \le \frac{5}{16}(\nH + \mH), and if HH is 44-uniform, then \tau_g(H) \le \frac{71}{252}(\nH + \mH).Comment: 23 pages

    Decomposing 1-Sperner hypergraphs

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    A hypergraph is Sperner if no hyperedge contains another one. A Sperner hypergraph is equilizable (resp., threshold) if the characteristic vectors of its hyperedges are the (minimal) binary solutions to a linear equation (resp., inequality) with positive coefficients. These combinatorial notions have many applications and are motivated by the theory of Boolean functions and integer programming. We introduce in this paper the class of 11-Sperner hypergraphs, defined by the property that for every two hyperedges the smallest of their two set differences is of size one. We characterize this class of Sperner hypergraphs by a decomposition theorem and derive several consequences from it. In particular, we obtain bounds on the size of 11-Sperner hypergraphs and their transversal hypergraphs, show that the characteristic vectors of the hyperedges are linearly independent over the reals, and prove that 11-Sperner hypergraphs are both threshold and equilizable. The study of 11-Sperner hypergraphs is motivated also by their applications in graph theory, which we present in a companion paper

    Achieving New Upper Bounds for the Hypergraph Duality Problem through Logic

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    The hypergraph duality problem DUAL is defined as follows: given two simple hypergraphs G\mathcal{G} and H\mathcal{H}, decide whether H\mathcal{H} consists precisely of all minimal transversals of G\mathcal{G} (in which case we say that G\mathcal{G} is the dual of H\mathcal{H}). This problem is equivalent to deciding whether two given non-redundant monotone DNFs are dual. It is known that non-DUAL, the complementary problem to DUAL, is in GC(log2n,PTIME)\mathrm{GC}(\log^2 n,\mathrm{PTIME}), where GC(f(n),C)\mathrm{GC}(f(n),\mathcal{C}) denotes the complexity class of all problems that after a nondeterministic guess of O(f(n))O(f(n)) bits can be decided (checked) within complexity class C\mathcal{C}. It was conjectured that non-DUAL is in GC(log2n,LOGSPACE)\mathrm{GC}(\log^2 n,\mathrm{LOGSPACE}). In this paper we prove this conjecture and actually place the non-DUAL problem into the complexity class GC(log2n,TC0)\mathrm{GC}(\log^2 n,\mathrm{TC}^0) which is a subclass of GC(log2n,LOGSPACE)\mathrm{GC}(\log^2 n,\mathrm{LOGSPACE}). We here refer to the logtime-uniform version of TC0\mathrm{TC}^0, which corresponds to FO(COUNT)\mathrm{FO(COUNT)}, i.e., first order logic augmented by counting quantifiers. We achieve the latter bound in two steps. First, based on existing problem decomposition methods, we develop a new nondeterministic algorithm for non-DUAL that requires to guess O(log2n)O(\log^2 n) bits. We then proceed by a logical analysis of this algorithm, allowing us to formulate its deterministic part in FO(COUNT)\mathrm{FO(COUNT)}. From this result, by the well known inclusion TC0LOGSPACE\mathrm{TC}^0\subseteq\mathrm{LOGSPACE}, it follows that DUAL belongs also to DSPACE[log2n]\mathrm{DSPACE}[\log^2 n]. Finally, by exploiting the principles on which the proposed nondeterministic algorithm is based, we devise a deterministic algorithm that, given two hypergraphs G\mathcal{G} and H\mathcal{H}, computes in quadratic logspace a transversal of G\mathcal{G} missing in H\mathcal{H}.Comment: Restructured the presentation in order to be the extended version of a paper that will shortly appear in SIAM Journal on Computin
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