The Four Color Theorem
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												  A Brief History of Edge-Colorings — with Personal ReminiscencesDiscrete 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).
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												  When the Vertex Coloring of a Graph Is an Edge Coloring of Its Line Graph — a Rare CoincidenceView metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repository of the Academy's Library When the vertex coloring of a graph is an edge coloring of its line graph | a rare coincidence Csilla Bujt¶as 1;¤ E. Sampathkumar 2 Zsolt Tuza 1;3 Charles Dominic 2 L. Pushpalatha 4 1 Department of Computer Science and Systems Technology, University of Pannonia, Veszpr¶em,Hungary 2 Department of Mathematics, University of Mysore, Mysore, India 3 Alfr¶edR¶enyi Institute of Mathematics, Hungarian Academy of Sciences, Budapest, Hungary 4 Department of Mathematics, Yuvaraja's College, Mysore, India Abstract The 3-consecutive vertex coloring number Ã3c(G) of a graph G is the maximum number of colors permitted in a coloring of the vertices of G such that the middle vertex of any path P3 ½ G has the same color as one of the ends of that P3. This coloring constraint exactly means that no P3 subgraph of G is properly colored in the classical sense. 0 The 3-consecutive edge coloring number Ã3c(G) is the maximum number of colors permitted in a coloring of the edges of G such that the middle edge of any sequence of three edges (in a path P4 or cycle C3) has the same color as one of the other two edges. For graphs G of minimum degree at least 2, denoting by L(G) the line graph of G, we prove that there is a bijection between the 3-consecutive vertex colorings of G and the 3-consecutive edge col- orings of L(G), which keeps the number of colors unchanged, too.
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												  Additive Non-Approximability of Chromatic Number in Proper MinorAdditive non-approximability of chromatic number in proper minor-closed classes Zdenˇek Dvoˇr´ak∗ Ken-ichi Kawarabayashi† Abstract Robin Thomas asked whether for every proper minor-closed class , there exists a polynomial-time algorithm approximating the chro- G matic number of graphs from up to a constant additive error inde- G pendent on the class . We show this is not the case: unless P = NP, G for every integer k 1, there is no polynomial-time algorithm to color ≥ a K -minor-free graph G using at most χ(G)+ k 1 colors. More 4k+1 − generally, for every k 1 and 1 β 4/3, there is no polynomial- ≥ ≤ ≤ time algorithm to color a K4k+1-minor-free graph G using less than βχ(G)+(4 3β)k colors. As far as we know, this is the first non-trivial − non-approximability result regarding the chromatic number in proper minor-closed classes. We also give somewhat weaker non-approximability bound for K4k+1- minor-free graphs with no cliques of size 4. On the positive side, we present additive approximation algorithm whose error depends on the apex number of the forbidden minor, and an algorithm with addi- tive error 6 under the additional assumption that the graph has no 4-cycles. arXiv:1707.03888v1 [cs.DM] 12 Jul 2017 The problem of determining the chromatic number, or even of just de- ciding whether a graph is colorable using a fixed number c 3 of colors, is NP-complete [7], and thus it cannot be solved in polynomial≥ time un- less P = NP.
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												  Interval Edge-Colorings of GraphsUniversity of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2016 Interval Edge-Colorings of Graphs Austin Foster University of Central Florida Part of the Mathematics Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Foster, Austin, "Interval Edge-Colorings of Graphs" (2016). Electronic Theses and Dissertations, 2004-2019. 5133. https://stars.library.ucf.edu/etd/5133 INTERVAL EDGE-COLORINGS OF GRAPHS by AUSTIN JAMES FOSTER B.S. University of Central Florida, 2015 A thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in the Department of Mathematics in the College of Sciences at the University of Central Florida Orlando, Florida Summer Term 2016 Major Professor: Zixia Song ABSTRACT A proper edge-coloring of a graph G by positive integers is called an interval edge-coloring if the colors assigned to the edges incident to any vertex in G are consecutive (i.e., those colors form an interval of integers). The notion of interval edge-colorings was first introduced by Asratian and Kamalian in 1987, motivated by the problem of finding compact school timetables. In 1992, Hansen described another scenario using interval edge-colorings to schedule parent-teacher con- ferences so that every person’s conferences occur in consecutive slots.
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												  An Update on the Four-Color Theorem Robin Thomasthomas.qxp 6/11/98 4:10 PM Page 848 An Update on the Four-Color Theorem Robin Thomas very planar map of connected countries the five-color theorem (Theorem 2 below) and can be colored using four colors in such discovered what became known as Kempe chains, a way that countries with a common and Tait found an equivalent formulation of the boundary segment (not just a point) re- Four-Color Theorem in terms of edge 3-coloring, ceive different colors. It is amazing that stated here as Theorem 3. Esuch a simply stated result resisted proof for one The next major contribution came in 1913 from and a quarter centuries, and even today it is not G. D. Birkhoff, whose work allowed Franklin to yet fully understood. In this article I concentrate prove in 1922 that the four-color conjecture is on recent developments: equivalent formulations, true for maps with at most twenty-five regions. The a new proof, and progress on some generalizations. same method was used by other mathematicians to make progress on the four-color problem. Im- Brief History portant here is the work by Heesch, who developed The Four-Color Problem dates back to 1852 when the two main ingredients needed for the ultimate Francis Guthrie, while trying to color the map of proof—“reducibility” and “discharging”. While the the counties of England, noticed that four colors concept of reducibility was studied by other re- sufficed. He asked his brother Frederick if it was searchers as well, the idea of discharging, crucial true that any map can be colored using four col- for the unavoidability part of the proof, is due to ors in such a way that adjacent regions (i.e., those Heesch, and he also conjectured that a suitable de- sharing a common boundary segment, not just a velopment of this method would solve the Four- point) receive different colors.
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												  CHROMATIC POLYNOMIALS of PLANE TRIANGULATIONS 1. Basic1990, 2005 D. R. Woodall, School of Mathematical Sciences, University of Nottingham CHROMATIC POLYNOMIALS OF PLANE TRIANGULATIONS 1. Basic results. Throughout this survey, G will denote a multigraph with n vertices, m edges, c components and b blocks, and m′ will denote the smallest number of edges whose deletion from G leaves a simple graph. The corresponding numbers for Gi will be ′ denoted by ni , mi , ci , bi and mi . Let P(G, t) denote the number of different (proper vertex-) t-colourings of G. Anticipating a later result, we call P(G, t) the chromatic polynomial of G. It was introduced by G. D. Birkhoff (1912), who proved many of the following basic results. Proposition 1. (Examples.) Here Tn denotes an arbitrary tree with n vertices, Fn denotes an arbitrary forest with n vertices and c components, and Rn denotes the graph of an arbitrary triangulated polygon with n vertices: that is, a plane n-gon divided into triangles by n − 3 noncrossing chords. = n (a) P(Kn , t) t , = − n −1 (b) P(Tn , t) t(t 1) , = − − n −2 (c) P(Rn , t) t(t 1)(t 2) , = − − − + (d) P(Kn , t) t(t 1)(t 2)...(t n 1), = c − n −c (e) P(Fn , t) t (t 1) , = − n + − n − (f) P(Cn , t) (t 1) ( 1) (t 1) − = (−1)nt(t − 1)[1 + (1 − t) + (1 − t)2 + ... + (1 − t)n 2]. Proposition 2. (a) If the components of G are G1,..., Gc , then = P(G, t) P(G1, t)...P(Gc , t). = ∪ ∩ = (b) If G G1 G2 where G1 G2 Kr , then P(G1, t) P(G2, t) ¡¢¡¢¡¢¡¢¡¢¡¢¡¢¡¢¡£¡¢¡¢¡¢¡ P(G, t) = ¡ .
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												  Approximating the Chromatic Polynomial of a GraphApproximating the Chromatic Polynomial Yvonne Kemper1 and Isabel Beichl1 Abstract Chromatic polynomials are important objects in graph theory and statistical physics, but as a result of computational difficulties, their study is limited to graphs that are small, highly structured, or very sparse. We have devised and implemented two algorithms that approximate the coefficients of the chromatic polynomial P (G, x), where P (G, k) is the number of proper k-colorings of a graph G for k ∈ N. Our algorithm is based on a method of Knuth that estimates the order of a search tree. We compare our results to the true chro- matic polynomial in several known cases, and compare our error with previous approximation algorithms. 1 Introduction The chromatic polynomial P (G, x) of a graph G has received much atten- tion as a result of the now-resolved four-color problem, but its relevance extends beyond combinatorics, and its domain beyond the natural num- bers. To start, the chromatic polynomial is related to the Tutte polynomial, and evaluating these polynomials at different points provides information about graph invariants and structure. In addition, P (G, x) is central in applications such as scheduling problems [26] and the q-state Potts model in statistical physics [10, 25]. The former occur in a variety of contexts, from algorithm design to factory procedures. For the latter, the relation- ship between P (G, x) and the Potts model connects statistical mechanics and graph theory, allowing researchers to study phenomena such as the behavior of ferromagnets. Unfortunately, computing P (G, x) for a general graph G is known to be #P -hard [16, 22] and deciding whether or not a graph is k-colorable is NP -hard [11].
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												  Computing Tutte PolynomialsComputing Tutte Polynomials Gary Haggard1, David J. Pearce2, and Gordon Royle3 1 Bucknell University [email protected] 2 Computer Science Group, Victoria University of Wellington, [email protected] 3 School of Mathematics and Statistics, University of Western Australia [email protected] Abstract. The Tutte polynomial of a graph, also known as the partition function of the q-state Potts model, is a 2-variable polynomial graph in- variant of considerable importance in both combinatorics and statistical physics. It contains several other polynomial invariants, such as the chro- matic polynomial and flow polynomial as partial evaluations, and various numerical invariants such as the number of spanning trees as complete evaluations. However despite its ubiquity, there are no widely-available effective computational tools able to compute the Tutte polynomial of a general graph of reasonable size. In this paper we describe the implemen- tation of a program that exploits isomorphisms in the computation tree to extend the range of graphs for which it is feasible to compute their Tutte polynomials. We also consider edge-selection heuristics which give good performance in practice. We empirically demonstrate the utility of our program on random graphs. More evidence of its usefulness arises from our success in finding counterexamples to a conjecture of Welsh on the location of the real flow roots of a graph. 1 Introduction The Tutte polynomial of a graph is a 2-variable polynomial of significant im- portance in mathematics, statistical physics and biology [25]. In a strong sense it “contains” every graphical invariant that can be computed by deletion and contraction.
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												  Vizing's Theorem and Edge-Chromatic GraphVIZING'S THEOREM AND EDGE-CHROMATIC GRAPH THEORY ROBERT GREEN Abstract. This paper is an expository piece on edge-chromatic graph theory. The central theorem in this subject is that of Vizing. We shall then explore the properties of graphs where Vizing's upper bound on the chromatic index is tight, and graphs where the lower bound is tight. Finally, we will look at a few generalizations of Vizing's Theorem, as well as some related conjectures. Contents 1. Introduction & Some Basic Definitions 1 2. Vizing's Theorem 2 3. General Properties of Class One and Class Two Graphs 3 4. The Petersen Graph and Other Snarks 4 5. Generalizations and Conjectures Regarding Vizing's Theorem 6 Acknowledgments 8 References 8 1. Introduction & Some Basic Definitions Definition 1.1. An edge colouring of a graph G = (V; E) is a map C : E ! S, where S is a set of colours, such that for all e; f 2 E, if e and f share a vertex, then C(e) 6= C(f). Definition 1.2. The chromatic index of a graph χ0(G) is the minimum number of colours needed for a proper colouring of G. Definition 1.3. The degree of a vertex v, denoted by d(v), is the number of edges of G which have v as a vertex. The maximum degree of a graph is denoted by ∆(G) and the minimum degree of a graph is denoted by δ(G). Vizing's Theorem is the central theorem of edge-chromatic graph theory, since it provides an upper and lower bound for the chromatic index χ0(G) of any graph G.
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												  Mathematical Concepts Within the Artwork of Lewitt and EscherA Thesis Presented to The Faculty of Alfred University More than Visual: Mathematical Concepts Within the Artwork of LeWitt and Escher by Kelsey Bennett In Partial Fulfillment of the requirements for the Alfred University Honors Program May 9, 2019 Under the Supervision of: Chair: Dr. Amanda Taylor Committee Members: Barbara Lattanzi John Hosford 1 Abstract The goal of this thesis is to demonstrate the relationship between mathematics and art. To do so, I have explored the work of two artists, M.C. Escher and Sol LeWitt. Though these artists approached the role of mathematics in their art in different ways, I have observed that each has employed mathematical concepts in order to create their rule-based artworks. The mathematical ideas which serve as the backbone of this thesis are illustrated by the artists' works and strengthen the bond be- tween the two subjects of art and math. My intention is to make these concepts accessible to all readers, regardless of their mathematical or artis- tic background, so that they may in turn gain a deeper understanding of the relationship between mathematics and art. To do so, we begin with a philosophical discussion of art and mathematics. Next, we will dissect and analyze various pieces of work by Sol LeWitt and M.C. Escher. As part of that process, we will also redesign or re-imagine some artistic pieces to further highlight mathematical concepts at play within the work of these artists. 1 Introduction What is art? The Merriam-Webster dictionary provides one definition of art as being \the conscious use of skill and creative imagination especially in the production of aesthetic object" ([1]).
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												  The 150 Year Journey of the Four Color TheoremThe 150 Year Journey of the Four Color Theorem A Senior Thesis in Mathematics by Ruth Davidson Advised by Sara Billey University of Washington, Seattle Figure 1: Coloring a Planar Graph; A Dual Superimposed I. Introduction The Four Color Theorem (4CT) was stated as a conjecture by Francis Guthrie in 1852, who was then a student of Augustus De Morgan [3]. Originally the question was posed in terms of coloring the regions of a map: the conjecture stated that if a map was divided into regions, then four colors were sufficient to color all the regions of the map such that no two regions that shared a boundary were given the same color. For example, in Figure 1, the adjacent regions of the shape are colored in different shades of gray. The search for a proof of the 4CT was a primary driving force in the development of a branch of mathematics we now know as graph theory. Not until 1977 was a correct proof of the Four Color Theorem (4CT) published by Kenneth Appel and Wolfgang Haken [1]. Moreover, this proof was made possible by the incremental efforts of many mathematicians that built on the work of those who came before. This paper presents an overview of the history of the search for this proof, and examines in detail another beautiful proof of the 4CT published in 1997 by Neil Robertson, Daniel 1 Figure 2: The Planar Graph K4 Sanders, Paul Seymour, and Robin Thomas [18] that refined the techniques used in the original proof. In order to understand the form in which the 4CT was finally proved, it is necessary to under- stand proper vertex colorings of a graph and the idea of a planar graph.
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												  The Chromatic PolynomialEotv¨ os¨ Lorand´ University Faculty of Science Master's Thesis The chromatic polynomial Author: Supervisor: Tam´asHubai L´aszl´oLov´aszPhD. MSc student in mathematics professor, Comp. Sci. Department [email protected] [email protected] 2009 Abstract After introducing the concept of the chromatic polynomial of a graph, we describe its basic properties and present a few examples. We continue with observing how the co- efficients and roots relate to the structure of the underlying graph, with emphasis on a theorem by Sokal bounding the complex roots based on the maximal degree. We also prove an improved version of this theorem. Finally we look at the Tutte polynomial, a generalization of the chromatic polynomial, and some of its applications. Acknowledgements I am very grateful to my supervisor, L´aszl´oLov´asz,for this interesting subject and his assistance whenever I needed. I would also like to say thanks to M´artonHorv´ath, who pointed out a number of mistakes in the first version of this thesis. Contents 0 Introduction 4 1 Preliminaries 5 1.1 Graph coloring . .5 1.2 The chromatic polynomial . .7 1.3 Deletion-contraction property . .7 1.4 Examples . .9 1.5 Constructions . 10 2 Algebraic properties 13 2.1 Coefficients . 13 2.2 Roots . 15 2.3 Substitutions . 18 3 Bounding complex roots 19 3.1 Motivation . 19 3.2 Preliminaries . 19 3.3 Proving the theorem . 20 4 Tutte's polynomial 23 4.1 Flow polynomial . 23 4.2 Reliability polynomial . 24 4.3 Statistical mechanics and the Potts model . 24 4.4 Jones polynomial of alternating knots .