Some Coloring Problems of Graphs Renyu Xu
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A Brief History of Edge-Colorings — with Personal Reminiscences
Discrete Mathematics Letters Discrete Math. Lett. 6 (2021) 38–46 www.dmlett.com DOI: 10.47443/dml.2021.s105 Review Article A brief history of edge-colorings – with personal reminiscences∗ Bjarne Toft1;y, Robin Wilson2;3 1Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark 2Department of Mathematics and Statistics, Open University, Walton Hall, Milton Keynes, UK 3Department of Mathematics, London School of Economics and Political Science, London, UK (Received: 9 June 2020. Accepted: 27 June 2020. Published online: 11 March 2021.) c 2021 the authors. This is an open access article under the CC BY (International 4.0) license (www.creativecommons.org/licenses/by/4.0/). Abstract In this article we survey some important milestones in the history of edge-colorings of graphs, from the earliest contributions of Peter Guthrie Tait and Denes´ Konig¨ to very recent work. Keywords: edge-coloring; graph theory history; Frank Harary. 2020 Mathematics Subject Classification: 01A60, 05-03, 05C15. 1. Introduction We begin with some basic remarks. If G is a graph, then its chromatic index or edge-chromatic number χ0(G) is the smallest number of colors needed to color its edges so that adjacent edges (those with a vertex in common) are colored differently; for 0 0 0 example, if G is an even cycle then χ (G) = 2, and if G is an odd cycle then χ (G) = 3. For complete graphs, χ (Kn) = n−1 if 0 0 n is even and χ (Kn) = n if n is odd, and for complete bipartite graphs, χ (Kr;s) = max(r; s). -
Cliques, Degrees, and Coloring: Expanding the Ω, ∆, Χ Paradigm
Cliques, Degrees, and Coloring: Expanding the !; ∆; χ paradigm by Thomas Kelly A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Combinatorics & Optimization Waterloo, Ontario, Canada, 2019 c Thomas Kelly 2019 Examining Committee Membership The following served on the Examining Committee for this thesis. The decision of the Examining Committee is by majority vote. External Examiner: Alexandr Kostochka Professor, Dept. of Mathematics, University of Illinois at Urbana-Champaign. Supervisor: Luke Postle Associate Professor, Dept. of Combinatorics & Optimization, University of Waterloo. Internal Members: Penny Haxell Professor, Dept. of Combinatorics & Optimization, University of Waterloo. Jim Geelen Professor, Dept. of Combinatorics & Optimization, University of Waterloo. Internal-External Member: Lap Chi Lau Associate Professor, Cheriton School of Computer Science, University of Waterloo. ii I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. iii Abstract Many of the most celebrated and influential results in graph coloring, such as Brooks' Theorem and Vizing's Theorem, relate a graph's chromatic number to its clique number or maximum degree. Currently, several of the most important and enticing open problems in coloring, such as Reed's !; ∆; χ Conjecture, follow this theme. This thesis both broadens and deepens this classical paradigm. In PartI, we tackle list-coloring problems in which the number of colors available to each vertex v depends on its degree, denoted d(v), and the size of the largest clique containing it, denoted !(v). -
Linear K-Arboricities on Trees
Discrete Applied Mathematics 103 (2000) 281–287 View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Note Linear k-arboricities on trees Gerard J. Changa; 1, Bor-Liang Chenb, Hung-Lin Fua, Kuo-Ching Huangc; ∗;2 aDepartment of Applied Mathematics, National Chiao Tung University, Hsinchu 300, Taiwan bDepartment of Business Administration, National Taichung Institue of Commerce, Taichung 404, Taiwan cDepartment of Applied Mathematics, Providence University, Shalu 433, Taichung, Taiwan Received 31 October 1997; revised 15 November 1999; accepted 22 November 1999 Abstract For a ÿxed positive integer k, the linear k-arboricity lak (G) of a graph G is the minimum number ‘ such that the edge set E(G) can be partitioned into ‘ disjoint sets and that each induces a subgraph whose components are paths of lengths at most k. This paper studies linear k-arboricity from an algorithmic point of view. In particular, we present a linear-time algo- rithm to determine whether a tree T has lak (T)6m. ? 2000 Elsevier Science B.V. All rights reserved. Keywords: Linear forest; Linear k-forest; Linear arboricity; Linear k-arboricity; Tree; Leaf; Penultimate vertex; Algorithm; NP-complete 1. Introduction All graphs in this paper are simple, i.e., ÿnite, undirected, loopless, and without multiple edges. A linear k-forest is a graph whose components are paths of length at most k.Alinear k-forest partition of G is a partition of the edge set E(G) into linear k-forests. The linear k-arboricity of G, denoted by lak (G), is the minimum size of a linear k-forest partition of G. -
Coloring Problems in Graph Theory Kacy Messerschmidt Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2018 Coloring problems in graph theory Kacy Messerschmidt Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Mathematics Commons Recommended Citation Messerschmidt, Kacy, "Coloring problems in graph theory" (2018). Graduate Theses and Dissertations. 16639. https://lib.dr.iastate.edu/etd/16639 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Coloring problems in graph theory by Kacy Messerschmidt A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Mathematics Program of Study Committee: Bernard Lidick´y,Major Professor Steve Butler Ryan Martin James Rossmanith Michael Young The student author, whose presentation of the scholarship herein was approved by the program of study committee, is solely responsible for the content of this dissertation. The Graduate College will ensure this dissertation is globally accessible and will not permit alterations after a degree is conferred. Iowa State University Ames, Iowa 2018 Copyright c Kacy Messerschmidt, 2018. All rights reserved. TABLE OF CONTENTS LIST OF FIGURES iv ACKNOWLEDGEMENTS vi ABSTRACT vii 1. INTRODUCTION1 2. DEFINITIONS3 2.1 Basics . .3 2.2 Graph theory . .3 2.3 Graph coloring . .5 2.3.1 Packing coloring . .6 2.3.2 Improper coloring . -
Structural Parameterizations of Clique Coloring
Structural Parameterizations of Clique Coloring Lars Jaffke University of Bergen, Norway lars.jaff[email protected] Paloma T. Lima University of Bergen, Norway [email protected] Geevarghese Philip Chennai Mathematical Institute, India UMI ReLaX, Chennai, India [email protected] Abstract A clique coloring of a graph is an assignment of colors to its vertices such that no maximal clique is monochromatic. We initiate the study of structural parameterizations of the Clique Coloring problem which asks whether a given graph has a clique coloring with q colors. For fixed q ≥ 2, we give an O?(qtw)-time algorithm when the input graph is given together with one of its tree decompositions of width tw. We complement this result with a matching lower bound under the Strong Exponential Time Hypothesis. We furthermore show that (when the number of colors is unbounded) Clique Coloring is XP parameterized by clique-width. 2012 ACM Subject Classification Mathematics of computing → Graph coloring Keywords and phrases clique coloring, treewidth, clique-width, structural parameterization, Strong Exponential Time Hypothesis Digital Object Identifier 10.4230/LIPIcs.MFCS.2020.49 Related Version A full version of this paper is available at https://arxiv.org/abs/2005.04733. Funding Lars Jaffke: Supported by the Trond Mohn Foundation (TMS). Acknowledgements The work was partially done while L. J. and P. T. L. were visiting Chennai Mathematical Institute. 1 Introduction Vertex coloring problems are central in algorithmic graph theory, and appear in many variants. One of these is Clique Coloring, which given a graph G and an integer k asks whether G has a clique coloring with k colors, i.e. -
Choosability on H-Free Graphs?
Choosability on H-Free Graphs? Petr A. Golovach1, Pinar Heggernes1, Pim van 't Hof1, and Dani¨el Paulusma2 1 Department of Informatics, University of Bergen, Norway fpetr.golovach,pinar.heggernes,[email protected] 2 School of Engineering and Computing Sciences, Durham University, UK [email protected] Abstract. A graph is H-free if it has no induced subgraph isomorphic to H. We determine the computational complexity of the Choosability problem restricted to H-free graphs for every graph H that does not belong to fK1;3;P1 + P2;P1 + P3;P4g. We also show that if H is a linear forest, then the problem is fixed-parameter tractable when parameterized by k. Keywords. Choosability, H-free graphs, linear forest. 1 Introduction Graph coloring is without doubt one of the most fundamental concepts in both structural and algorithmic graph theory. The well-known Coloring problem, which takes as input a graph G and an integer k, asks whether G admits a k- coloring, i.e., a mapping c : V (G) ! f1; 2; : : : ; kg such that c(u) 6= c(v) whenever uv 2 E(G). The corresponding problem where k is fixed, i.e., not part of the input, is denoted by k-Coloring. Since graph coloring naturally arises in a vast number of theoretical and practical applications, it is not surprising that many variants and generalizations of the Coloring problem have been studied over the years. There are some very good surveys [1,28] and a book [22] on the subject. One well-known generalization of graph coloring, called List Coloring, was introduced by Vizing [29] and Erd}os,Rubin and Taylor [7]. -
Complexity Results for Rainbow Matchings
Complexity Results for Rainbow Matchings Van Bang Le1 and Florian Pfender2 1 Universität Rostock, Institut für Informatik 18051 Rostock, Germany [email protected] 2 University of Colorado at Denver, Department of Mathematics & Statistics Denver, CO 80202, USA [email protected] Abstract A rainbow matching in an edge-colored graph is a matching whose edges have distinct colors. We address the complexity issue of the following problem, max rainbow matching: Given an edge-colored graph G, how large is the largest rainbow matching in G? We present several sharp contrasts in the complexity of this problem. We show, among others, that max rainbow matching can be approximated by a polynomial algorithm with approxima- tion ratio 2/3 − ε. max rainbow matching is APX-complete, even when restricted to properly edge-colored linear forests without a 5-vertex path, and is solvable in polynomial time for edge-colored forests without a 4-vertex path. max rainbow matching is APX-complete, even when restricted to properly edge-colored trees without an 8-vertex path, and is solvable in polynomial time for edge-colored trees without a 7-vertex path. max rainbow matching is APX-complete, even when restricted to properly edge-colored paths. These results provide a dichotomy theorem for the complexity of the problem on forests and trees in terms of forbidding paths. The latter is somewhat surprising, since, to the best of our knowledge, no (unweighted) graph problem prior to our result is known to be NP-hard for simple paths. We also address the parameterized complexity of the problem. -
Contemporary Mathematics 352
CONTEMPORARY MATHEMATICS 352 Graph Colorings Marek Kubale Editor http://dx.doi.org/10.1090/conm/352 Graph Colorings CoNTEMPORARY MATHEMATICS 352 Graph Colorings Marek Kubale Editor American Mathematical Society Providence, Rhode Island Editorial Board Dennis DeTurck, managing editor Andreas Blass Andy R. Magid Michael Vogeli us This work was originally published in Polish by Wydawnictwa Naukowo-Techniczne under the title "Optymalizacja dyskretna. Modele i metody kolorowania graf6w", © 2002 Wydawnictwa N aukowo-Techniczne. The present translation was created under license for the American Mathematical Society and is published by permission. 2000 Mathematics Subject Classification. Primary 05Cl5. Library of Congress Cataloging-in-Publication Data Optymalizacja dyskretna. English. Graph colorings/ Marek Kubale, editor. p. em.- (Contemporary mathematics, ISSN 0271-4132; 352) Includes bibliographical references and index. ISBN 0-8218-3458-4 (acid-free paper) 1. Graph coloring. I. Kubale, Marek, 1946- II. Title. Ill. Contemporary mathematics (American Mathematical Society); v. 352. QA166 .247.06813 2004 5111.5-dc22 2004046151 Copying and reprinting. Material in this book may be reproduced by any means for edu- cational and scientific purposes without fee or permission with the exception of reproduction by services that collect fees for delivery of documents and provided that the customary acknowledg- ment of the source is given. This consent does not extend to other kinds of copying for general distribution, for advertising or promotional purposes, or for resale. Requests for permission for commercial use of material should be addressed to the Acquisitions Department, American Math- ematical Society, 201 Charles Street, Providence, Rhode Island 02904-2294, USA. Requests can also be made by e-mail to reprint-permissien@ams. -
Linear Coloring of Graphs Raphael Yuster* Department of Mathematics, University of Haifa-ORANIM, Tivon 36006, Israel
DISCRETE MATHEMATICS ELSEVIER Discrete Mathematics 185 (1998) 293-297 Note Linear coloring of graphs Raphael Yuster* Department of Mathematics, University of Haifa-ORANIM, Tivon 36006, Israel Received 27 September 1996; received in revised form 10 July 1997; accepted 28 July 1997 Abstract A proper vertex coloring of a graph is called linear if the subgraph induced by the vertices colored by any two colors is a set of vertex-disjoint paths. The linear chromatic number of a graph G, denoted by lc(G), is the minimum number of colors in a linear coloring of G. Extending a result of Alon, McDiarmid and Reed concerning acyclic graph colorings, we show that if G has maximum degree d then lc(G) = O(d3/2). We also construct explicit graphs with maximum degree d for which lc(G)= Q(d3/2), thus showing that the result is optimal, up to an absolute constant factor. (~) 1998 Elsevier Science B.V. All rights reserved I. Introduction All graphs considered here are finite, undirected and simple. For the standard graph- theoretic notations the reader is referred to [3]. A proper vertex coloring of a graph is called linear if the subgraph induced by the union of any two color classes is a linear forest, i.e. a set of vertex-disjoint paths. Let lc(G) be the minimum number of colors in a linear coloring of the graph G. We call lc(G) the linear chromatic number of G. A linear coloring is a special case of an acyclic coloring, where it is required that the subgraph induced by the union of any two color classes is a forest. -
Bidirected Graph from Wikipedia, the Free Encyclopedia Contents
Bidirected graph From Wikipedia, the free encyclopedia Contents 1 Bidirected graph 1 1.1 Other meanings ............................................ 1 1.2 See also ................................................ 2 1.3 References ............................................... 2 2 Bipartite double cover 3 2.1 Construction .............................................. 3 2.2 Examples ............................................... 3 2.3 Matrix interpretation ......................................... 4 2.4 Properties ............................................... 4 2.5 Other double covers .......................................... 4 2.6 See also ................................................ 5 2.7 Notes ................................................. 5 2.8 References ............................................... 5 2.9 External links ............................................. 6 3 Complex question 7 3.1 Implication by question ........................................ 7 3.2 Complex question fallacy ....................................... 7 3.2.1 Similar questions and fallacies ................................ 8 3.3 Notes ................................................. 8 4 Directed graph 10 4.1 Basic terminology ........................................... 11 4.2 Indegree and outdegree ........................................ 11 4.3 Degree sequence ............................................ 12 4.4 Digraph connectivity .......................................... 12 4.5 Classes of digraphs ......................................... -
Short Tours Through Large Linear Forests
Improved Approximations for Graph-TSP in Regular Graphs R Ravi Carnegie Mellon University Joint work with Uriel Feige (Weizmann), Satoru Iwata (U Tokyo), Jeremy Karp (CMU), Alantha Newman (G-SCOP) and Mohit Singh (MSR) 1 Graph TSP Given a connected unweighted graph, a tour is a closed walk that visits every vertex at least once. Objective: find shortest tour. Ideally – a Hamiltonian cycle. 2 3 A tour may use the same edge twice 4 A tour may use the same edge twice length 8x1 + 1x2 = 10 5 Results 1. Size 4n/3 in a graph with a spanning tree and a simple cycle on its odd nodes (WG14, joint with Satoru Iwata and Alantha Newman) “Regular graphs have short tours” 2. Size 9n/7 in cubic bipartite graphs (APPROX14, joint with Jeremy Karp) 1 3. Size (1 + 푂( ))n in d-regular graphs 푑 (IPCO14, joint with Uri Feige and Mohit Singh) 6 Main ideas for short tours 1. Augment spanning tree with carefully chosen edges 2. Delete carefully chosen edges from the whole graph 3. Augment cycle cover with few cycles 4. Augment path cover with few paths 7 General bounds In every connected n-vertex graph, the length of the shortest tour is between n and 2n-2. 8 9 Spanning tree lower bound 10 Double spanning tree edges, drop remaining edges 11 Christofides 1976 • A 3/2-approximation to graph TSP (and more generally, metric TSP). Tour composed of union of: • (minimum) Spanning tree. • Minimum T-join on odd-degree vertices. Gives a connected Eulerian graph (= tour). -
Short Tours Through Large Linear Forests
Short Tours through Large Linear Forests Uriel Feige1?, R. Ravi2??, and Mohit Singh3 1 Department of Computer Science, The Weizmann Institute, Rehovot, Israel. Email: [email protected]. 2 Tepper School of Business, Carnegie Mellon University. Email: [email protected] 3 Microsoft Research, Redmond, USA. Email:[email protected] Abstract. A tour in a graph is a connected walk that visits every vertex at least once, and returns to the starting vertex. Vishnoi [18] proved that every connected d-regular graph with n vertices has a tour of length at most (1 + o(1))n, where the o(1) term (slowly) tends to 0 as d grows. His proof is based on van-der-Warden’s conjecture (proved independently by Egorychev [8] and by Falikman [9]) regard- ing the permanent of doubly stochastic matrices. We provide an exponential im- provement in the rate of decrease of the o(1) term (thus increasing the range of d for which the upper bound on the tour length is nontrivial). Our proof does not use the van-der-Warden conjecture, and instead is related to the linear arboric- ity conjecture of Akiyama, Exoo and Harary [1], or alternatively, to a conjecture of Magnant and Martin [12] regarding the path cover number of regular graphs. More generally, for arbitrary connected graphs, our techniques provide an upper bound on the minimum tour length, expressed as a function of their maximum, average, and minimum degrees. Our bound is best possible up to a term that tends to 0 as the minimum degree grows. 1 Introduction A tour in a graph is a connected walk that starts at a vertex, visits every vertex of the graph at least once, and returns to the starting vertex.