11 research outputs found

    Colouring of Graphs with Ramsey-Type Forbidden Subgraphs

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    A colouring of a graph G = (V;E) is a mapping c : V ! f1; 2; : : :g such that c(u) 6= c(v) if uv 2 E; if jc(V )j k then c is a k-colouring. The Colouring problem is that of testing whether a given graph has a k-colouring for some given integer k. If a graph contains no induced subgraph isomorphic to any graph in some family H, then it is called H-free. The complexity of Colouring for H-free graphs with jHj = 1 has been completely classied. When jHj = 2, the classication is still wide open, although many partial results are known. We continue this line of research and forbid induced subgraphs fH1;H2g, where we allow H1 to have a single edge and H2 to have a single nonedge. Instead of showing only polynomial-time solvability, we prove that Colouring on such graphs is xed-parameter tractable when parameterized by jH1j + jH2j. As a byproduct, we obtain the same result both for the problem of determining a maximum independent set and for the problem of determining a maximum clique

    Bounding clique-width via perfect graphs

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    Given two graphs H1 and H2, a graph G is (H1,H2)-free if it contains no subgraph isomorphic to H1 or H2. We continue a recent study into the clique-width of (H1,H2)-free graphs and present three new classes of (H1,H2)-free graphs that have bounded clique-width. We also show the implications of our results for the computational complexity of the Colouring problem restricted to (H1,H2)-free graphs. The three new graph classes have in common that one of their two forbidden induced subgraphs is the diamond (the graph obtained from a clique on four vertices by deleting one edge). To prove boundedness of their clique-width we develop a technique based on bounding clique covering number in combination with reduction to subclasses of perfect graphs

    Complexity of Coloring Graphs without Paths and Cycles

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    Let PtP_t and CℓC_\ell denote a path on tt vertices and a cycle on ℓ\ell vertices, respectively. In this paper we study the kk-coloring problem for (Pt,Cℓ)(P_t,C_\ell)-free graphs. Maffray and Morel, and Bruce, Hoang and Sawada, have proved that 3-colorability of P5P_5-free graphs has a finite forbidden induced subgraphs characterization, while Hoang, Moore, Recoskie, Sawada, and Vatshelle have shown that kk-colorability of P5P_5-free graphs for k≥4k \geq 4 does not. These authors have also shown, aided by a computer search, that 4-colorability of (P5,C5)(P_5,C_5)-free graphs does have a finite forbidden induced subgraph characterization. We prove that for any kk, the kk-colorability of (P6,C4)(P_6,C_4)-free graphs has a finite forbidden induced subgraph characterization. We provide the full lists of forbidden induced subgraphs for k=3k=3 and k=4k=4. As an application, we obtain certifying polynomial time algorithms for 3-coloring and 4-coloring (P6,C4)(P_6,C_4)-free graphs. (Polynomial time algorithms have been previously obtained by Golovach, Paulusma, and Song, but those algorithms are not certifying); To complement these results we show that in most other cases the kk-coloring problem for (Pt,Cℓ)(P_t,C_\ell)-free graphs is NP-complete. Specifically, for ℓ=5\ell=5 we show that kk-coloring is NP-complete for (Pt,C5)(P_t,C_5)-free graphs when k≥4k \ge 4 and t≥7t \ge 7; for ℓ≥6\ell \ge 6 we show that kk-coloring is NP-complete for (Pt,Cℓ)(P_t,C_\ell)-free graphs when k≥5k \ge 5, t≥6t \ge 6; and additionally, for ℓ=7\ell=7, we show that kk-coloring is also NP-complete for (Pt,C7)(P_t,C_7)-free graphs if k=4k = 4 and t≥9t\ge 9. This is the first systematic study of the complexity of the kk-coloring problem for (Pt,Cℓ)(P_t,C_\ell)-free graphs. We almost completely classify the complexity for the cases when k≥4,ℓ≥4k \geq 4, \ell \geq 4, and identify the last three open cases

    Towards an Isomorphism Dichotomy for Hereditary Graph Classes

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    In this paper we resolve the complexity of the isomorphism problem on all but finitely many of the graph classes characterized by two forbidden induced subgraphs. To this end we develop new techniques applicable for the structural and algorithmic analysis of graphs. First, we develop a methodology to show isomorphism completeness of the isomorphism problem on graph classes by providing a general framework unifying various reduction techniques. Second, we generalize the concept of the modular decomposition to colored graphs, allowing for non-standard decompositions. We show that, given a suitable decomposition functor, the graph isomorphism problem reduces to checking isomorphism of colored prime graphs. Third, we extend the techniques of bounded color valence and hypergraph isomorphism on hypergraphs of bounded color size as follows. We say a colored graph has generalized color valence at most k if, after removing all vertices in color classes of size at most k, for each color class C every vertex has at most k neighbors in C or at most k non-neighbors in C. We show that isomorphism of graphs of bounded generalized color valence can be solved in polynomial time.Comment: 37 pages, 4 figure

    Colouring of graphs with Ramsey-type forbidden subgraphs

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    A colouring of a graph G=(V,E) is a mapping c:V→{1,2,…} such that c(u)≠c(v) if uv∈E; if |c(V)|⩽k then c is a k -colouring. The Colouring problem is that of testing whether a given graph has a k -colouring for some given integer k . If a graph contains no induced subgraph isomorphic to any graph in some family H, then it is called H-free. The complexity of Colouring for H-free graphs with |H|=1 has been completely classified. When |H|=2, the classification is still wide open, although many partial results are known. We continue this line of research and forbid induced subgraphs {H1,H2}, where we allow H1 to have a single edge and H2 to have a single non-edge. Instead of showing only polynomial-time solvability, we prove that Colouring on such graphs is fixed-parameter tractable when parameterized by |H1|+|H2|. As a by-product, we obtain the same result both for the problem of determining a maximum independent set and for the problem of determining a maximum clique

    35th Symposium on Theoretical Aspects of Computer Science: STACS 2018, February 28-March 3, 2018, Caen, France

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