7 research outputs found

    Distance colouring without one cycle length

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    We consider distance colourings in graphs of maximum degree at most dd and how excluding one fixed cycle length ℓ\ell affects the number of colours required as d→∞d\to\infty. For vertex-colouring and t≥1t\ge 1, if any two distinct vertices connected by a path of at most tt edges are required to be coloured differently, then a reduction by a logarithmic (in dd) factor against the trivial bound O(dt)O(d^t) can be obtained by excluding an odd cycle length ℓ≥3t\ell \ge 3t if tt is odd or by excluding an even cycle length ℓ≥2t+2\ell \ge 2t+2. For edge-colouring and t≥2t\ge 2, if any two distinct edges connected by a path of fewer than tt edges are required to be coloured differently, then excluding an even cycle length ℓ≥2t\ell \ge 2t is sufficient for a logarithmic factor reduction. For t≥2t\ge 2, neither of the above statements are possible for other parity combinations of ℓ\ell and tt. These results can be considered extensions of results due to Johansson (1996) and Mahdian (2000), and are related to open problems of Alon and Mohar (2002) and Kaiser and Kang (2014).Comment: 14 pages, 1 figur

    Optimization of eigenvalue bounds for the independence and chromatic number of graph powers

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    © 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/The k-thpower of a graph G=(V,E), G^k, is the graph whose vertex set is V and in which two distinct vertices are adjacent if and only if their distance in G is at most k. This article proves various eigenvalue bounds for the independence number and chromatic number of G^k which purely depend on the spectrum of G, together with a method to optimize them. Our bounds for the k-independence number also work for its quantum counterpart, which is not known to be a computable parameter in general, thus justifying the use of integer programming to optimize them. Some of the bounds previously known in the literature follow as a corollary of our main results. Infinite families of graphs where the bounds are sharp are presented as well.The research of A. Abiad is partially supported by the FWO grant 1285921N. A. Abiad and M.A. Fiol gratefully acknowledge the support from DIAMANT. This research of M.A. Fiol has been partially supported by AGAUR from the Catalan Government under project 2017SGR1087 and by MICINN from the Spanish Government under project PGC2018-095471-B-I00. B. Nogueira acknowledges grant PRPQ/ADRC from UFMG. The authors would also like to thank Anurag Bishnoi for noticing a tight family for our bound (19).Peer ReviewedPostprint (author's final draft

    Strong cliques and forbidden cycles

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    Given a graph GG, the strong clique number ω2′(G)\omega_2'(G) of GG is the cardinality of a largest collection of edges every pair of which are incident or connected by an edge in GG. We study the strong clique number of graphs missing some set of cycle lengths. For a graph GG of large enough maximum degree Δ\Delta, we show among other results the following: ω2′(G)≤5Δ2/4\omega_2'(G)\le5\Delta^2/4 if GG is triangle-free; ω2′(G)≤3(Δ−1)\omega_2'(G)\le3(\Delta-1) if GG is C4C_4-free; ω2′(G)≤Δ2\omega_2'(G)\le\Delta^2 if GG is C2k+1C_{2k+1}-free for some k≥2k\ge 2. These bounds are attained by natural extremal examples. Our work extends and improves upon previous work of Faudree, Gy\'arf\'as, Schelp and Tuza (1990), Mahdian (2000) and Faron and Postle (2019). We are motivated by the corresponding problems for the strong chromatic index.Comment: 24 pages, 2 figure

    Coloring, List Coloring, and Painting Squares of Graphs (and other related problems)

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    We survey work on coloring, list coloring, and painting squares of graphs; in particular, we consider strong edge-coloring. We focus primarily on planar graphs and other sparse classes of graphs.Comment: 32 pages, 13 figures and tables, plus 195-entry bibliography, comments are welcome, published as a Dynamic Survey in Electronic Journal of Combinatoric

    EUROCOMB 21 Book of extended abstracts

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