43 research outputs found

    Note on 3-Coloring of (2P4,C5)(2P_4,C_5)-Free Graphs

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    We show that the 3-coloring problem is polynomial-time solvable on (2P4,C5)(2P_4,C_5)-free graphs.Comment: 17 pages, 13 figure

    Color-blind index in graphs of very low degree

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    Let c:E(G)[k]c:E(G)\to [k] be an edge-coloring of a graph GG, not necessarily proper. For each vertex vv, let cˉ(v)=(a1,,ak)\bar{c}(v)=(a_1,\ldots,a_k), where aia_i is the number of edges incident to vv with color ii. Reorder cˉ(v)\bar{c}(v) for every vv in GG in nonincreasing order to obtain c(v)c^*(v), the color-blind partition of vv. When cc^* induces a proper vertex coloring, that is, c(u)c(v)c^*(u)\neq c^*(v) for every edge uvuv in GG, we say that cc is color-blind distinguishing. The minimum kk for which there exists a color-blind distinguishing edge coloring c:E(G)[k]c:E(G)\to [k] is the color-blind index of GG, denoted dal(G)\operatorname{dal}(G). We demonstrate that determining the color-blind index is more subtle than previously thought. In particular, determining if dal(G)2\operatorname{dal}(G) \leq 2 is NP-complete. We also connect the color-blind index of a regular bipartite graph to 2-colorable regular hypergraphs and characterize when dal(G)\operatorname{dal}(G) is finite for a class of 3-regular graphs.Comment: 10 pages, 3 figures, and a 4 page appendi

    List precoloring extension in planar graphs

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    A celebrated result of Thomassen states that not only can every planar graph be colored properly with five colors, but no matter how arbitrary palettes of five colors are assigned to vertices, one can choose a color from the corresponding palette for each vertex so that the resulting coloring is proper. This result is referred to as 5-choosability of planar graphs. Albertson asked whether Thomassen's theorem can be extended by precoloring some vertices which are at a large enough distance apart in a graph. Here, among others, we answer the question in the case when the graph does not contain short cycles separating precolored vertices and when there is a "wide" Steiner tree containing all the precolored vertices.Comment: v2: 15 pages, 11 figres, corrected typos and new proof of Theorem 3(2

    Graphs with tiny vector chromatic numbers and huge chromatic numbers

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    Karger, Motwani, and Sudan [J. ACM, 45 (1998), pp. 246-265] introduced the notion of a vector coloring of a graph. In particular, they showed that every k-colorable graph is also vector k-colorable, and that for constant k, graphs that are vector k-colorable can be colored by roughly Δ^(1 - 2/k) colors. Here Δ is the maximum degree in the graph and is assumed to be of the order of n^5 for some 0 < δ < 1. Their results play a major role in the best approximation algorithms used for coloring and for maximum independent sets. We show that for every positive integer k there are graphs that are vector k-colorable but do not have independent sets significantly larger than n/Δ^(1- 2/k) (and hence cannot be colored with significantly fewer than Δ^(1-2/k) colors). For k = O(log n/log log n) we show vector k-colorable graphs that do not have independent sets of size (log n)^c, for some constant c. This shows that the vector chromatic number does not approximate the chromatic number within factors better than n/polylogn. As part of our proof, we analyze "property testing" algorithms that distinguish between graphs that have an independent set of size n/k, and graphs that are "far" from having such an independent set. Our bounds on the sample size improve previous bounds of Goldreich, Goldwasser, and Ron [J. ACM, 45 (1998), pp. 653-750] for this problem

    Об индексе палитры треугольника Серпинского и графа Серпинского

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    The palette of a vertex v of a graph G in a proper edge coloring is the set of colors assigned to the edges which are incident to v. The palette index of G is the minimum number of palettes occurring among all proper edge colorings of G. In this paper, we consider the palette index of Sierpinski graphs S” and Sierpinski triangle graphs S” . In particular, we determine the exact value of the palette index of Sierpinski triangle graphs. We also determine the palette index of Sierpinski graphs S” where p is even, p = 3, or n = 2 and p = 41 + 3

    No distributed quantum advantage for approximate graph coloring

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    We give an almost complete characterization of the hardness of cc-coloring χ\chi-chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. In particular, we show that these problems do not admit any distributed quantum advantage. To do that: 1) We give a new distributed algorithm that finds a cc-coloring in χ\chi-chromatic graphs in O~(n1α)\tilde{\mathcal{O}}(n^{\frac{1}{\alpha}}) rounds, with α=c1χ1\alpha = \bigl\lfloor\frac{c-1}{\chi - 1}\bigr\rfloor. 2) We prove that any distributed algorithm for this problem requires Ω(n1α)\Omega(n^{\frac{1}{\alpha}}) rounds. Our upper bound holds in the classical, deterministic LOCAL model, while the near-matching lower bound holds in the non-signaling model. This model, introduced by Arfaoui and Fraigniaud in 2014, captures all models of distributed graph algorithms that obey physical causality; this includes not only classical deterministic LOCAL and randomized LOCAL but also quantum-LOCAL, even with a pre-shared quantum state. We also show that similar arguments can be used to prove that, e.g., 3-coloring 2-dimensional grids or cc-coloring trees remain hard problems even for the non-signaling model, and in particular do not admit any quantum advantage. Our lower-bound arguments are purely graph-theoretic at heart; no background on quantum information theory is needed to establish the proofs

    List-coloring and sum-list-coloring problems on graphs

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    Graph coloring is a well-known and well-studied area of graph theory that has many applications. In this dissertation, we look at two generalizations of graph coloring known as list-coloring and sum-list-coloring. In both of these types of colorings, one seeks to first assign palettes of colors to vertices and then choose a color from the corresponding palette for each vertex so that a proper coloring is obtained. A celebrated result of Thomassen states that every planar graph can be properly colored from any arbitrarily assigned palettes of five colors. This result is known as 5-list-colorability of planar graphs. Albertson asked whether Thomassen\u27s theorem can be extended by precoloring some vertices which are at a large enough distance apart. Hutchinson asked whether Thomassen\u27s theorem can be extended by allowing certain vertices to have palettes of size less than five assigned to them. In this dissertation, we explore both of these questions and answer them in the affirmative for various classes of graphs. We also provide a catalog of small configurations with palettes of different prescribed sizes and determine whether or not they can always be colored from palettes of such sizes. These small configurations can be useful in reducing certain planar graphs to obtain more information about their structure. Additionally, we look at the newer notion of sum-list-coloring where the sum choice number is the parameter of interest. In sum-list-coloring, we seek to minimize the sum of varying sizes of palettes of colors assigned the vertices of a graph. We compute the sum choice number for all graphs on at most five vertices, present some general results about sum-list-coloring, and determine the sum choice number for certain graphs made up of cycles
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