6,683 research outputs found

    A note on chromatic properties of threshold graphs

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    In threshold graphs one may find weights for the vertices and a threshold value t such that for any subset S of vertices, the sum of the weights is at most the threshold t if and only if the set S is a stable (independent) set. In this note we ask a similar question about vertex colorings: given an integer p, when is it possible to find weights (in general depending on p) for the vertices and a threshold value tp such that for any subset S of vertices the sum of the weights is at most tp if and only if S generates a subgraph with chromatic number at most p − 1? We show that threshold graphs do have this property and we show that one can even find weights which are valid for all values of p simultaneously

    A note on circular chromatic number of graphs with large girth and similar problems

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    In this short note, we extend the result of Galluccio, Goddyn, and Hell, which states that graphs of large girth excluding a minor are nearly bipartite. We also prove a similar result for the oriented chromatic number, from which follows in particular that graphs of large girth excluding a minor have oriented chromatic number at most 55, and for the ppth chromatic number χp\chi_p, from which follows in particular that graphs GG of large girth excluding a minor have χp(G)≤p+2\chi_p(G)\leq p+2

    Chromatic thresholds in dense random graphs

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    The chromatic threshold δχ(H,p)\delta_\chi(H,p) of a graph HH with respect to the random graph G(n,p)G(n,p) is the infimum over d>0d > 0 such that the following holds with high probability: the family of HH-free graphs G⊂G(n,p)G \subset G(n,p) with minimum degree δ(G)≥dpn\delta(G) \ge dpn has bounded chromatic number. The study of the parameter δχ(H):=δχ(H,1)\delta_\chi(H) := \delta_\chi(H,1) was initiated in 1973 by Erd\H{o}s and Simonovits, and was recently determined for all graphs HH. In this paper we show that δχ(H,p)=δχ(H)\delta_\chi(H,p) = \delta_\chi(H) for all fixed p∈(0,1)p \in (0,1), but that typically δχ(H,p)≠δχ(H)\delta_\chi(H,p) \ne \delta_\chi(H) if p=o(1)p = o(1). We also make significant progress towards determining δχ(H,p)\delta_\chi(H,p) for all graphs HH in the range p=n−o(1)p = n^{-o(1)}. In sparser random graphs the problem is somewhat more complicated, and is studied in a separate paper.Comment: 36 pages (including appendix), 1 figure; the appendix is copied with minor modifications from arXiv:1108.1746 for a self-contained proof of a technical lemma; accepted to Random Structures and Algorithm
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