11,266 research outputs found

    Clique-Stable Set separation in perfect graphs with no balanced skew-partitions

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    Inspired by a question of Yannakakis on the Vertex Packing polytope of perfect graphs, we study the Clique-Stable Set Separation in a non-hereditary subclass of perfect graphs. A cut (B,W) of G (a bipartition of V(G)) separates a clique K and a stable set S if KBK\subseteq B and SWS\subseteq W. A Clique-Stable Set Separator is a family of cuts such that for every clique K, and for every stable set S disjoint from K, there exists a cut in the family that separates K and S. Given a class of graphs, the question is to know whether every graph of the class admits a Clique-Stable Set Separator containing only polynomially many cuts. It is open for the class of all graphs, and also for perfect graphs, which was Yannakakis' original question. Here we investigate on perfect graphs with no balanced skew-partition; the balanced skew-partition was introduced in the proof of the Strong Perfect Graph Theorem. Recently, Chudnovsky, Trotignon, Trunck and Vuskovic proved that forbidding this unfriendly decomposition permits to recursively decompose Berge graphs using 2-join and complement 2-join until reaching a basic graph, and they found an efficient combinatorial algorithm to color those graphs. We apply their decomposition result to prove that perfect graphs with no balanced skew-partition admit a quadratic-size Clique-Stable Set Separator, by taking advantage of the good behavior of 2-join with respect to this property. We then generalize this result and prove that the Strong Erdos-Hajnal property holds in this class, which means that every such graph has a linear-size biclique or complement biclique. This property does not hold for all perfect graphs (Fox 2006), and moreover when the Strong Erdos-Hajnal property holds in a hereditary class of graphs, then both the Erdos-Hajnal property and the polynomial Clique-Stable Set Separation hold.Comment: arXiv admin note: text overlap with arXiv:1308.644

    Characterising and recognising game-perfect graphs

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    Consider a vertex colouring game played on a simple graph with kk permissible colours. Two players, a maker and a breaker, take turns to colour an uncoloured vertex such that adjacent vertices receive different colours. The game ends once the graph is fully coloured, in which case the maker wins, or the graph can no longer be fully coloured, in which case the breaker wins. In the game gBg_B, the breaker makes the first move. Our main focus is on the class of gBg_B-perfect graphs: graphs such that for every induced subgraph HH, the game gBg_B played on HH admits a winning strategy for the maker with only ω(H)\omega(H) colours, where ω(H)\omega(H) denotes the clique number of HH. Complementing analogous results for other variations of the game, we characterise gBg_B-perfect graphs in two ways, by forbidden induced subgraphs and by explicit structural descriptions. We also present a clique module decomposition, which may be of independent interest, that allows us to efficiently recognise gBg_B-perfect graphs.Comment: 39 pages, 8 figures. An extended abstract was accepted at the International Colloquium on Graph Theory (ICGT) 201

    Contraction blockers for graphs with forbidden induced paths.

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    We consider the following problem: can a certain graph parameter of some given graph be reduced by at least d for some integer d via at most k edge contractions for some given integer k? We examine three graph parameters: the chromatic number, clique number and independence number. For each of these graph parameters we show that, when d is part of the input, this problem is polynomial-time solvable on P4-free graphs and NP-complete as well as W[1]-hard, with parameter d, for split graphs. As split graphs form a subclass of P5-free graphs, both results together give a complete complexity classification for Pℓ-free graphs. The W[1]-hardness result implies that it is unlikely that the problem is fixed-parameter tractable for split graphs with parameter d. But we do show, on the positive side, that the problem is polynomial-time solvable, for each parameter, on split graphs if d is fixed, i.e., not part of the input. We also initiate a study into other subclasses of perfect graphs, namely cobipartite graphs and interval graphs

    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

    OV Graphs Are (Probably) Hard Instances

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    © Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) graph of dimension d if there are vectors v1, . . ., vn ∈ {0, 1}d such that nodes i and j are adjacent in G if and only if hvi, vji = 0 over Z. In this paper, we study a number of basic graph algorithm problems, except where one is given as input the vectors defining an OV graph instead of a general graph. We show that for each of the following problems, an algorithm solving it faster on such OV graphs G of dimension only d = O(log n) than in the general case would refute a plausible conjecture about the time required to solve sparse MAX-k-SAT instances: Determining whether G contains a triangle. More generally, determining whether G contains a directed k-cycle for any k ≥ 3. Computing the square of the adjacency matrix of G over Z or F2. Maintaining the shortest distance between two fixed nodes of G, or whether G has a perfect matching, when G is a dynamically updating OV graph. We also prove some complementary results about OV graphs. We show that any problem which is NP-hard on constant-degree graphs is also NP-hard on OV graphs of dimension O(log n), and we give two problems which can be solved faster on OV graphs than in general: Maximum Clique, and Online Matrix-Vector Multiplication

    Contraction blockers for graphs with forbidden induced paths

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    We consider the following problem: can a certain graph parameter of some given graph be reduced by at least d for some integer d via at most k edge contractions for some given integer k? We examine three graph parameters: the chromatic number, clique number and independence number. For each of these graph parameters we show that, when d is part of the input, this problem is polynomial-time solvable on P4-free graphs and NP-complete as well as W[1]-hard, with parameter d, for split graphs. As split graphs form a subclass of P5-free graphs, both results together give a complete complexity classification for Pℓ-free graphs. The W[1]-hardness result implies that it is unlikely that the problem is fixed-parameter tractable for split graphs with parameter d. But we do show, on the positive side, that the problem is polynomial-time solvable, for each parameter, on split graphs if d is fixed, i.e., not part of the input. We also initiate a study into other subclasses of perfect graphs, namely cobipartite graphs and interval graphs

    Line game-perfect graphs

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    The [X,Y][X,Y]-edge colouring game is played with a set of kk colours on a graph GG with initially uncoloured edges by two players, Alice (A) and Bob (B). The players move alternately. Player X{A,B}X\in\{A,B\} has the first move. Y{A,B,}Y\in\{A,B,-\}. If Y{A,B}Y\in\{A,B\}, then only player YY may skip any move, otherwise skipping is not allowed for any player. A move consists in colouring an uncoloured edge with one of the kk colours such that adjacent edges have distinct colours. When no more moves are possible, the game ends. If every edge is coloured in the end, Alice wins; otherwise, Bob wins. The [X,Y][X,Y]-game chromatic index χ[X,Y](G)\chi_{[X,Y]}'(G) is the smallest nonnegative integer kk such that Alice has a winning strategy for the [X,Y][X,Y]-edge colouring game played on GG with kk colours. The graph GG is called line [X,Y][X,Y]-perfect if, for any edge-induced subgraph HH of GG, χ[X,Y](H)=ω(L(H)),\chi_{[X,Y]}'(H)=\omega(L(H)), where ω(L(H))\omega(L(H)) denotes the clique number of the line graph of HH. For each of the six possibilities (X,Y){A,B}×{A,B,}(X,Y)\in\{A,B\}\times\{A,B,-\}, we characterise line [X,Y][X,Y]-perfect graphs by forbidden (edge-induced) subgraphs and by explicit structural descriptions, respectively

    Perfect graphs of arbitrarily large clique-chromatic number

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    We prove that there exist perfect graphs of arbitrarily large clique-chromatic number. These graphs can be obtained from cobipartite graphs by repeatedly gluing along cliques. This negatively answers a question raised by Duffus, Sands, Sauer, and Woodrow in [Two-coloring all two-element maximal antichains, J. Combinatorial Theory, Ser. A, 57 (1991), 109-116]
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