20 research outputs found

    k-forested choosability of graphs with bounded maximum average degree

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    A proper vertex coloring of a simple graph is kk-forested if the graph induced by the vertices of any two color classes is a forest with maximum degree less than kk. A graph is kk-forested qq-choosable if for a given list of qq colors associated with each vertex vv, there exists a kk-forested coloring of GG such that each vertex receives a color from its own list. In this paper, we prove that the kk-forested choosability of a graph with maximum degree Δ≄k≄4\Delta\geq k\geq 4 is at most ⌈Δk−1⌉+1\lceil\frac{\Delta}{k-1}\rceil+1, ⌈Δk−1⌉+2\lceil\frac{\Delta}{k-1}\rceil+2 or ⌈Δk−1⌉+3\lceil\frac{\Delta}{k-1}\rceil+3 if its maximum average degree is less than 12/5, $8/3 or 3, respectively.Comment: Please cite this paper in press as X. Zhang, G. Liu, J.-L. Wu, k-forested choosability of graphs with bounded maximum average degree, Bulletin of the Iranian Mathematical Society, to appea

    Distance-two coloring of sparse graphs

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    Consider a graph G=(V,E)G = (V, E) and, for each vertex v∈Vv \in V, a subset ÎŁ(v)\Sigma(v) of neighbors of vv. A ÎŁ\Sigma-coloring is a coloring of the elements of VV so that vertices appearing together in some ÎŁ(v)\Sigma(v) receive pairwise distinct colors. An obvious lower bound for the minimum number of colors in such a coloring is the maximum size of a set ÎŁ(v)\Sigma(v), denoted by ρ(ÎŁ)\rho(\Sigma). In this paper we study graph classes FF for which there is a function ff, such that for any graph G∈FG \in F and any ÎŁ\Sigma, there is a ÎŁ\Sigma-coloring using at most f(ρ(ÎŁ))f(\rho(\Sigma)) colors. It is proved that if such a function exists for a class FF, then ff can be taken to be a linear function. It is also shown that such classes are precisely the classes having bounded star chromatic number. We also investigate the list version and the clique version of this problem, and relate the existence of functions bounding those parameters to the recently introduced concepts of classes of bounded expansion and nowhere-dense classes.Comment: 13 pages - revised versio

    Nonrepetitive Colouring via Entropy Compression

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    A vertex colouring of a graph is \emph{nonrepetitive} if there is no path whose first half receives the same sequence of colours as the second half. A graph is nonrepetitively kk-choosable if given lists of at least kk colours at each vertex, there is a nonrepetitive colouring such that each vertex is coloured from its own list. It is known that every graph with maximum degree Δ\Delta is cΔ2c\Delta^2-choosable, for some constant cc. We prove this result with c=1c=1 (ignoring lower order terms). We then prove that every subdivision of a graph with sufficiently many division vertices per edge is nonrepetitively 5-choosable. The proofs of both these results are based on the Moser-Tardos entropy-compression method, and a recent extension by Grytczuk, Kozik and Micek for the nonrepetitive choosability of paths. Finally, we prove that every graph with pathwidth kk is nonrepetitively O(k2)O(k^{2})-colourable.Comment: v4: Minor changes made following helpful comments by the referee

    List circular backbone colouring

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    Graph TheoryInternational audienceA natural generalization of graph colouring involves taking colours from a metric space and insisting that the endpoints of an edge receive colours separated by a minimum distance dictated by properties of the edge. In the q-backbone colouring problem, these minimum distances are either q or 1, depending on whether or not the edge is in the backbone. In this paper we consider the list version of this problem, with particular focus on colours in â„€p - this problem is closely related to the problem of circular choosability. We first prove that the list circular q-backbone chromatic number of a graph is bounded by a function of the list chromatic number. We then consider the more general problem in which each edge is assigned an individual distance between its endpoints, and provide bounds using the Combinatorial Nullstellensatz. Through this result and through structural approaches, we achieve good bounds when both the graph and the backbone belong to restricted families of graphs
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