1,324 research outputs found

    On the editing distance of graphs

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    An edge-operation on a graph GG is defined to be either the deletion of an existing edge or the addition of a nonexisting edge. Given a family of graphs G\mathcal{G}, the editing distance from GG to G\mathcal{G} is the smallest number of edge-operations needed to modify GG into a graph from G\mathcal{G}. In this paper, we fix a graph HH and consider Forb(n,H){\rm Forb}(n,H), the set of all graphs on nn vertices that have no induced copy of HH. We provide bounds for the maximum over all nn-vertex graphs GG of the editing distance from GG to Forb(n,H){\rm Forb}(n,H), using an invariant we call the {\it binary chromatic number} of the graph HH. We give asymptotically tight bounds for that distance when HH is self-complementary and exact results for several small graphs HH

    Almost spanning subgraphs of random graphs after adversarial edge removal

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    Let Delta>1 be a fixed integer. We show that the random graph G(n,p) with p>>(log n/n)^{1/Delta} is robust with respect to the containment of almost spanning bipartite graphs H with maximum degree Delta and sublinear bandwidth in the following sense: asymptotically almost surely, if an adversary deletes arbitrary edges in G(n,p) such that each vertex loses less than half of its neighbours, then the resulting graph still contains a copy of all such H.Comment: 46 pages, 6 figure

    On globally sparse Ramsey graphs

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    We say that a graph GG has the Ramsey property w.r.t.\ some graph FF and some integer r2r\geq 2, or GG is (F,r)(F,r)-Ramsey for short, if any rr-coloring of the edges of GG contains a monochromatic copy of FF. R{\"o}dl and Ruci{\'n}ski asked how globally sparse (F,r)(F,r)-Ramsey graphs GG can possibly be, where the density of GG is measured by the subgraph HGH\subseteq G with the highest average degree. So far, this so-called Ramsey density is known only for cliques and some trivial graphs FF. In this work we determine the Ramsey density up to some small error terms for several cases when FF is a complete bipartite graph, a cycle or a path, and r2r\geq 2 colors are available

    Ramsey properties of randomly perturbed graphs: cliques and cycles

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    Given graphs H1,H2H_1,H_2, a graph GG is (H1,H2)(H_1,H_2)-Ramsey if for every colouring of the edges of GG with red and blue, there is a red copy of H1H_1 or a blue copy of H2H_2. In this paper we investigate Ramsey questions in the setting of randomly perturbed graphs: this is a random graph model introduced by Bohman, Frieze and Martin in which one starts with a dense graph and then adds a given number of random edges to it. The study of Ramsey properties of randomly perturbed graphs was initiated by Krivelevich, Sudakov and Tetali in 2006; they determined how many random edges must be added to a dense graph to ensure the resulting graph is with high probability (K3,Kt)(K_3,K_t)-Ramsey (for t3t\ge 3). They also raised the question of generalising this result to pairs of graphs other than (K3,Kt)(K_3,K_t). We make significant progress on this question, giving a precise solution in the case when H1=KsH_1=K_s and H2=KtH_2=K_t where s,t5s,t \ge 5. Although we again show that one requires polynomially fewer edges than in the purely random graph, our result shows that the problem in this case is quite different to the (K3,Kt)(K_3,K_t)-Ramsey question. Moreover, we give bounds for the corresponding (K4,Kt)(K_4,K_t)-Ramsey question; together with a construction of Powierski this resolves the (K4,K4)(K_4,K_4)-Ramsey problem. We also give a precise solution to the analogous question in the case when both H1=CsH_1=C_s and H2=CtH_2=C_t are cycles. Additionally we consider the corresponding multicolour problem. Our final result gives another generalisation of the Krivelevich, Sudakov and Tetali result. Specifically, we determine how many random edges must be added to a dense graph to ensure the resulting graph is with high probability (Cs,Kt)(C_s,K_t)-Ramsey (for odd s5s\ge 5 and t4t\ge 4).Comment: 24 pages + 12-page appendix; v2: cited independent work of Emil Powierski, stated results for cliques in graphs of low positive density separately (Theorem 1.6) for clarity; v3: author accepted manuscript, to appear in CP
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