24 research outputs found

    The Erd\H{o}s-Hajnal Conjecture for Paths and Antipaths

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    We prove that for every k, there exists ck>0c_k>0 such that every graph G on n vertices not inducing a path PkP_k and its complement contains a clique or a stable set of size nckn^{c_k}

    Excluding pairs of tournaments

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    The Erd\H{o}s-Hajnal conjecture states that for every given undirected graph HH there exists a constant c(H)>0c(H)>0 such that every graph GG that does not contain HH as an induced subgraph contains a clique or a stable set of size at least V(G)c(H)|V(G)|^{c(H)}. The conjecture is still open. Its equivalent directed version states that for every given tournament HH there exists a constant c(H)>0c(H)>0 such that every HH-free tournament TT contains a transitive subtournament of order at least V(T)c(H)|V(T)|^{c(H)}. We prove in this paper that {H1,H2}\{H_{1},H_{2}\}-free tournaments TT contain transitive subtournaments of size at least V(T)c(H1,H2)|V(T)|^{c(H_{1},H_{2})} for some c(H1,H2)>0c(H_{1},H_{2})>0 and several pairs of tournaments: H1H_{1}, H2H_{2}. In particular we prove that {H,Hc}\{H,H^{c}\}-freeness implies existence of the polynomial-size transitive subtournaments for several tournaments HH for which the conjecture is still open (HcH^{c} stands for the \textit{complement of HH}). To the best of our knowledge these are first nontrivial results of this type

    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

    Towards the Erd\H{o}s-Hajnal conjecture for P5P_5-free graphs

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    The Erd\H{o}s-Hajnal conjecture is one of the most classical and well-known problems in extremal and structural combinatorics dating back to 1977. It asserts that in stark contrast to the case of a general nn-vertex graph if one imposes even a little bit of structure on the graph, namely by forbidding a fixed graph HH as an induced subgraph, instead of only being able to find a polylogarithmic size clique or an independent set one can find one of polynomial size. Despite being the focus of considerable attention over the years the conjecture remains open. In this paper we improve the best known lower bound of 2Ω(logn)2^{\Omega(\sqrt{\log n})} on this question, due to Erd\H{o}s and Hajnal from 1989, in the smallest open case, namely when one forbids a P5P_5, the path on 55 vertices. Namely, we show that any P5P_5-free nn vertex graph contains a clique or an independent set of size at least 2Ω(logn)2/32^{\Omega(\log n)^{2/3}}. Our methods also lead to the same improvement for an infinite family of graphs
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