6,568 research outputs found

    Fooling sets and rank

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    An n×nn\times n matrix MM is called a \textit{fooling-set matrix of size nn} if its diagonal entries are nonzero and Mk,M,k=0M_{k,\ell} M_{\ell,k} = 0 for every kk\ne \ell. Dietzfelbinger, Hromkovi{\v{c}}, and Schnitger (1996) showed that n \le (\mbox{rk} M)^2, regardless of over which field the rank is computed, and asked whether the exponent on \mbox{rk} M can be improved. We settle this question. In characteristic zero, we construct an infinite family of rational fooling-set matrices with size n = \binom{\mbox{rk} M+1}{2}. In nonzero characteristic, we construct an infinite family of matrices with n= (1+o(1))(\mbox{rk} M)^2.Comment: 10 pages. Now resolves the open problem also in characteristic

    Extension complexity of stable set polytopes of bipartite graphs

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    The extension complexity xc(P)\mathsf{xc}(P) of a polytope PP is the minimum number of facets of a polytope that affinely projects to PP. Let GG be a bipartite graph with nn vertices, mm edges, and no isolated vertices. Let STAB(G)\mathsf{STAB}(G) be the convex hull of the stable sets of GG. It is easy to see that nxc(STAB(G))n+mn \leqslant \mathsf{xc} (\mathsf{STAB}(G)) \leqslant n+m. We improve both of these bounds. For the upper bound, we show that xc(STAB(G))\mathsf{xc} (\mathsf{STAB}(G)) is O(n2logn)O(\frac{n^2}{\log n}), which is an improvement when GG has quadratically many edges. For the lower bound, we prove that xc(STAB(G))\mathsf{xc} (\mathsf{STAB}(G)) is Ω(nlogn)\Omega(n \log n) when GG is the incidence graph of a finite projective plane. We also provide examples of 33-regular bipartite graphs GG such that the edge vs stable set matrix of GG has a fooling set of size E(G)|E(G)|.Comment: 13 pages, 2 figure

    Clique versus Independent Set

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    Yannakakis' Clique versus Independent Set problem (CL-IS) in communication complexity asks for the minimum number of cuts separating cliques from stable sets in a graph, called CS-separator. Yannakakis provides a quasi-polynomial CS-separator, i.e. of size O(nlogn)O(n^{\log n}), and addresses the problem of finding a polynomial CS-separator. This question is still open even for perfect graphs. We show that a polynomial CS-separator almost surely exists for random graphs. Besides, if H is a split graph (i.e. has a vertex-partition into a clique and a stable set) then there exists a constant cHc_H for which we find a O(ncH)O(n^{c_H}) CS-separator on the class of H-free graphs. This generalizes a result of Yannakakis on comparability graphs. We also provide a O(nck)O(n^{c_k}) CS-separator on the class of graphs without induced path of length k and its complement. Observe that on one side, cHc_H is of order O(HlogH)O(|H| \log |H|) resulting from Vapnik-Chervonenkis dimension, and on the other side, ckc_k is exponential. One of the main reason why Yannakakis' CL-IS problem is fascinating is that it admits equivalent formulations. Our main result in this respect is to show that a polynomial CS-separator is equivalent to the polynomial Alon-Saks-Seymour Conjecture, asserting that if a graph has an edge-partition into k complete bipartite graphs, then its chromatic number is polynomially bounded in terms of k. We also show that the classical approach to the stubborn problem (arising in CSP) which consists in covering the set of all solutions by O(nlogn)O(n^{\log n}) instances of 2-SAT is again equivalent to the existence of a polynomial CS-separator

    Fooling One-Sided Quantum Protocols

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