UNIVERSITY of CALGARY Graph Colouring and Forbidden

Total Page:16

File Type:pdf, Size:1020Kb

UNIVERSITY of CALGARY Graph Colouring and Forbidden UNIVERSITY OF CALGARY Graph Colouring and Forbidden Subgraphs by Jia Shen A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF MATHEMATICS AND STATISTICS CALGARY, ALBERTA APRIL, 2008 °c Jia Shen 2008 ISBN: 978-0-494-38239-4 Abstract Concepts and questions of graph colouring arise naturally from practical problems and have found applications in many areas, including Information Theory and most notably Theoretical Computer Science. This thesis mainly concerns graph colouring problems. Given a graph F , a graph H is said to be F -free if H does not contain F as an induced subgraph. We will be concerned with what we call the F -avoiding colouring problem: for a given graph F , colour the vertices of a graph G such that each maximal F -free subgraph of G receives more than one colour. This colouring is motivated by questions raised by Erd}os-Gallai-Tuza, and Duffus-Kierstead-Trotter. The following question will be resolved in full: Given a graph F , does there exist a constant c, depending only on F , such that every graph G has a vertex-colouring with at most c colours such that each nontrivial maximal F -free subgraph of G receives more than one colour? Using a similar technique, the related transversal problem is also completely resolved. We also investigate the precise number of colours needed for various classes of graphs F and G. The corresponding problems in the setting of partially ordered sets are studied as well. iii Acknowledgements First I thank Dr. Bill Sands for accumulating discussions towards the results in this thesis. Dr. Sands read through the draft of this thesis many times and corrected many of the inaccuracies. I also would like to thank Dr. Sands for lending me some precious books in his collection, which are very helpful. Thanks also go to the faculty and the staff of the Department of Mathematics and Statistics at the University of Calgary for all the help I got during the past years. Finally, I would like to thank my dear parents and my beloved wife, Jingjing Zhou. It is your encouragement, patience, support and love that made my studies possible. iv Table of Contents Abstract iii Acknowledgements iv Table of Contents v 1 Introduction 1 1.1 Subject of Research . 1 1.2 Motivation and Historical Notes . 2 1.3 Relations and Differences . 5 1.4 Structure of the Thesis . 7 2 Definitions, Notation and Basic Facts 8 2.1 The Basic Notation . 8 2.2 Graphs . 8 2.3 Graph Colouring . 12 2.4 Hypergraphs . 13 2.5 Basic Properties of F -avoiding Colouring . 15 3 Clique Colouring 21 3.1 Constant Bounds . 21 3.2 General Bounds . 24 3.3 Complexity . 25 3.4 Tree-decompositions and Chordal Graphs . 26 v vi 4 A Complete Characterization 31 4.1 Bounded Avoiding Chromatic Numbers . 31 4.2 Unbounded Avoiding Chromatic Numbers . 33 4.3 General Bounds . 38 4.4 Transversals . 44 5 Graphs F without Isolated Vertices 51 5.1 General Results . 51 5.2 Various Classes of Graphs . 60 6 Small F with Isolated Vertices 70 6.1 Characterization of Maximal Subgraphs . 70 6.2 Union of Cliques . 71 6.3 Sparse Graphs . 74 6.4 Induced Long Path . 77 6.5 Some Other Classes of Graphs . 80 7 Partially Ordered Sets 93 7.1 Preliminaries for Partially Ordered Sets . 93 7.2 Colouring of Posets . 98 7.3 Bounds . 100 7.4 Decomposition of Partially Ordered Sets . 102 7.5 Relations between Various Bounds . 109 7.6 An Approach towards Two Colourable Posets . 117 8 Remarks and Open Problems 126 vii 8.1 Open Problems . 126 8.2 Classes of Graphs F . 128 Bibliography 130 List of Figures 2.1 A disjoint union of Kk's. 18 3.1 a tree-decomposition (T; ) = (T; (V ) 2 ) . 27 V t t T 3.2 a tree-decomposition of G ........................ 29 4.1 F1 F2 and an edge . 35 _ 4.2 3-cycle v1e1ve2v2ev1 ............................ 37 4.3 colouring scheme . 39 5.1 diam(G) 3................................ 52 ≥ 5.2 the graph K3 + e ............................. 54 5.3 K2 and a vertex . 55 5.4 A list of graphs: K ;P ;K ;P ;C ;K + e; K e . 56 2 3 3 4 4 3 4 − 5.5 N[v] and a vertex x ............................ 57 5.6 F is a star and G is not a star . 62 5.7 The colouring of wheel Wn ........................ 66 6.1 acP3 (G) for union of cliques . 71 6.2 ac (G) where g(G) 5 ......................... 75 P3 ≥ 6.3 acP3 (P5).................................. 80 6.4 acP3 (Pk).................................. 81 6.5 acP3 (Cn).................................. 82 6.6 acP3 (G) for bigraphs G with δ(G)=1.................. 87 7.1 A partition of a linearly indecomposable poset . 103 viii ix 7.2 the 17-element poset Q . 112 7.3 A poset P with ack(P ) = 3 . 113 7.4 Example 7.1 . 116 7.5 the relation m n . 119 ≺Q 7.6 a1 Q a2 Q Q ak Q a1 . 120 2k+1≺ ≺ · · · ≺ ≺ 7.7 ( 2)-free . 121 X1 k 7.8 ( n)-free . 123 X1 k 7.9 ( (2 1))-free . 124 ⊕ X1 k 7.10 ( (1 2))-free . 125 ⊕ X1 Chapter 1 Introduction In this thesis, all graphs are finite, undirected and simple (i.e., contain no multiedges and loops) unless otherwise specified. 1.1 Subject of Research When considering relational structures such as graphs and partially ordered sets, subsets which do not contain a prescribed, induced \forbidden" substructure are often of interest. For example, if the forbidden subgraph is K2 (i.e. two independent vertices), then subgraphs that do not contain K2 are all complete subgraphs. Thus a maximal K2-free subgraph is a maximal complete subgraph, or a maximal clique. In general, for a given graph F , a graph is said to be F -free if it does not contain F as an induced subgraph. The main subject of this thesis is to investigate, for a given \forbidden" graph F , maximal F -free subgraphs of a graph G. Our main interest will be what we call the F -avoiding colouring problem1: for a given graph F , colour the vertices of a graph G such that each maximal F -free subgraph of G receives more than one colour. We will be concerned with the following question: Question 1: Given a graph F , does there exist a constant c, depending only on F , 1The term \F -free colouring" has been defined by other researchers for a different, yet related, colouring problem. We will review this concept in Section 1.4. 1 2 such that every graph G has a vertex-colouring with at most c colours so that each nontrivial (i.e. with more than one vertex) maximal F -free subgraph of G receives more than one colour? A related question is the F -free subgraph transversal: a subset T V (G) of ⊆ vertices of a graph G is said to be an F -free subgraph transversal if T meets every maximal F -free subgraph of G. For a given \forbidden" graph F , the F -free subgraph transversal number of a graph G, denoted by τF (G), is the minimum cardinality of an F -free subgraph transversal of G. We will also be considering the following question: Question 2: For which graphs F is the F -free subgraph transversal number τF (G) bounded by a constant fraction of the order of G, namely, τ (G) c G F ≤ j j for some constant c < 1 independent of G? 1.2 Motivation and Historical Notes The subject of this thesis is motivated by a problem raised by Erd}os,Gallai and Tuza. In [30] Erd}os, Gallai and Tuza proposed to investigate the so-called clique- transversal problem, namely, the problem of estimating the minimal cardinality of a subset of V (G) which meets every maximal clique of G. In particular, according to Erd}os(cf. [2, 24]), Gallai asked whether a triangulated graph (or chordal graph) on n vertices has a subset of size n=2 which intersects every nontrivial maximal clique. In fact, the following stronger result is true: The vertices of a chordal graph can be 3 2-coloured so that all nontrivial maximal cliques receive two colours. We will give a proof of it in Chapter 3. Aigner and Andreae [2] noted that, as can be easily seen, a comparability graph G has a subset of size at most G =2 which intersects every nontrivial maximal clique. j j They also raised the question: is this true for a cocomparability graph? Lonc and Rival [38] conjectured something stronger: a cocomparability graph is 2-colourable so that each nontrivial maximal clique receives both colours. If this statement were true, then the smaller of the two colour classes would have size at most n=2 and would intersect every maximal clique. Duffus, Sands, Sauer, and Woodrow gave a counterexample in [25] to both ques- tions. However, Duffus, Kierstead and Trotter [24] proved that the next best thing to the Lonc-Rival conjecture is true, i.e., three colours instead of two are enough. The vertices of a cocomparability graph can be 3-coloured so that all nontrivial maximal cliques receive at least two colours. In the language of partially ordered sets, what Duffus et al. have proven is that the elements of any partially ordered set can be 3-coloured so that all nontrivial maximal antichains receive more than one colour.
Recommended publications
  • COMP 761: Lecture 9 – Graph Theory I
    COMP 761: Lecture 9 – Graph Theory I David Rolnick September 23, 2020 David Rolnick COMP 761: Graph Theory I Sep 23, 2020 1 / 27 Problem In Königsberg (now called Kaliningrad) there are some bridges (shown below). Is it possible to cross over all of them in some order, without crossing any bridge more than once? (Please don’t post your ideas in the chat just yet, we’ll discuss the problem soon in class.) David Rolnick COMP 761: Graph Theory I Sep 23, 2020 2 / 27 Problem Set 2 will be due on Oct. 9 Vincent’s optional list of practice problems available soon on Slack (we can give feedback on your solutions, but they will not count towards a grade) Course Announcements David Rolnick COMP 761: Graph Theory I Sep 23, 2020 3 / 27 Vincent’s optional list of practice problems available soon on Slack (we can give feedback on your solutions, but they will not count towards a grade) Course Announcements Problem Set 2 will be due on Oct. 9 David Rolnick COMP 761: Graph Theory I Sep 23, 2020 3 / 27 Course Announcements Problem Set 2 will be due on Oct. 9 Vincent’s optional list of practice problems available soon on Slack (we can give feedback on your solutions, but they will not count towards a grade) David Rolnick COMP 761: Graph Theory I Sep 23, 2020 3 / 27 A graph G is defined by a set V of vertices and a set E of edges, where the edges are (unordered) pairs of vertices fv; wg.
    [Show full text]
  • Clay Mathematics Institute 2005 James A
    Contents Clay Mathematics Institute 2005 James A. Carlson Letter from the President 2 The Prize Problems The Millennium Prize Problems 3 Recognizing Achievement 2005 Clay Research Awards 4 CMI Researchers Summary of 2005 6 Workshops & Conferences CMI Programs & Research Activities Student Programs Collected Works James Arthur Archive 9 Raoul Bott Library CMI Profile Interview with Research Fellow 10 Maria Chudnovsky Feature Article Can Biology Lead to New Theorems? 13 by Bernd Sturmfels CMI Summer Schools Summary 14 Ricci Flow, 3–Manifolds, and Geometry 15 at MSRI Program Overview CMI Senior Scholars Program 17 Institute News Euclid and His Heritage Meeting 18 Appointments & Honors 20 CMI Publications Selected Articles by Research Fellows 27 Books & Videos 28 About CMI Profile of Bow Street Staff 30 CMI Activities 2006 Institute Calendar 32 2005 Euclid: www.claymath.org/euclid James Arthur Collected Works: www.claymath.org/cw/arthur Hanoi Institute of Mathematics: www.math.ac.vn Ramanujan Society: www.ramanujanmathsociety.org $.* $MBZ.BUIFNBUJDT*OTUJUVUF ".4 "NFSJDBO.BUIFNBUJDBM4PDJFUZ In addition to major,0O"VHVTU BUUIFTFDPOE*OUFSOBUJPOBM$POHSFTTPG.BUIFNBUJDJBOT ongoing activities such as JO1BSJT %BWJE)JMCFSUEFMJWFSFEIJTGBNPVTMFDUVSFJOXIJDIIFEFTDSJCFE the summer schools,UXFOUZUISFFQSPCMFNTUIBUXFSFUPQMBZBOJOnVFOUJBMSPMFJONBUIFNBUJDBM the Institute undertakes a 5IF.JMMFOOJVN1SJ[F1SPCMFNT SFTFBSDI"DFOUVSZMBUFS PO.BZ BUBNFFUJOHBUUIF$PMMÒHFEF number of smaller'SBODF UIF$MBZ.BUIFNBUJDT*OTUJUVUF $.* BOOPVODFEUIFDSFBUJPOPGB special projects
    [Show full text]
  • Tree-Decomposition Graph Minor Theory and Algorithmic Implications
    DIPLOMARBEIT Tree-Decomposition Graph Minor Theory and Algorithmic Implications Ausgeführt am Institut für Diskrete Mathematik und Geometrie der Technischen Universität Wien unter Anleitung von Univ.Prof. Dipl.-Ing. Dr.techn. Michael Drmota durch Miriam Heinz, B.Sc. Matrikelnummer: 0625661 Baumgartenstraße 53 1140 Wien Datum Unterschrift Preface The focus of this thesis is the concept of tree-decomposition. A tree-decomposition of a graph G is a representation of G in a tree-like structure. From this structure it is possible to deduce certain connectivity properties of G. Such information can be used to construct efficient algorithms to solve problems on G. Sometimes problems which are NP-hard in general are solvable in polynomial or even linear time when restricted to trees. Employing the tree-like structure of tree-decompositions these algorithms for trees can be adapted to graphs of bounded tree-width. This results in many important algorithmic applications of tree-decomposition. The concept of tree-decomposition also proves to be useful in the study of fundamental questions in graph theory. It was used extensively by Robertson and Seymour in their seminal work on Wagner’s conjecture. Their Graph Minors series of papers spans more than 500 pages and results in a proof of the graph minor theorem, settling Wagner’s conjecture in 2004. However, it is not only the proof of this deep and powerful theorem which merits mention. Also the concepts and tools developed for the proof have had a major impact on the field of graph theory. Tree-decomposition is one of these spin-offs. Therefore, we will study both its use in the context of graph minor theory and its several algorithmic implications.
    [Show full text]
  • An Extensive on Graph English Language Bibliograp Theory and Its A
    NATIONAL AERONAUTICS AND SPACE AD Technical Report 32-7473 An Extensive English Language Bibliograp on Graph Theory and Its A Narsingh De0 JET PROPULS N LABORATORY CALIFORNIA INSTITUTE OF TECHNOLOGY PASADENA, CALIFORNIA October 15,1969 NATIONAL AERONAUTICS AND SPACE ADMINISTRATION Technical Report 32-7473 An Extensive English Language Bibliography on Graph Theory and Its Applications Narsingh Deo JET PROPULSION LABORATORY CALIFORNIA INSTITUTE OF TECHNOLOGY PASADENA, CALIFORNIA October 15, 1969 Prepared Under Contract No. NAS 7-100 National Aeronautics and Space Administration Preface The work described in this report was performed under the cognizance of the Guidance and Control Division of the Jet Propulsion Laboratory. The author delivered a series of 16 lectures on Graph Theory and Its Applica- tion at Jet Propulsion Laboratory’s Applied Mathematics Seminar during Jan.- Mar., 1968. Since that time he has received numerous requests-from his col- leagues at JPL, from students and faculty at Gal Tech, and from outside-for bibliographies in theory and applications of graphs. This technical report is compiled chiefly to meet this need. As far as the author knows, the most extensive existing bibliography on the theory of linear graphs was compiled by A. A. Zykov in early 1963 for the sym- posium held at Smoleniee, Czechoslovakia in June 1963. This bibliography was an extension of an earlier bibliography by J. W. Moon and L. Moser. Although Zykov’s bibliography has served as an excellent source of informa- tion for research workers and students, it has its shortcomings. It is 6 years old and hence is in obvious need of updating.
    [Show full text]
  • A Separator Theorem for Graphs with an Excluded Minor and Its
    A Separator Theorem for Graphs with an Excluded Minor and its Applications (Extended Abstract) Noga Alon∗ Paul Seymoury Robin Thomasz Abstract Let G be an n-vertex graph with nonnegative weights whose sum is 1 assigned to its vertices, and with no minor isomorphic to a given h-vertex graph H. We prove that there is a set X of no more than h3=2n1=2 vertices of G whose deletion creates a graph in which the total weight of every connected component is at most 1=2. This extends significantly a well-known theorem of Lipton and Tarjan for planar graphs. We exhibit an algorithm which finds, given an n-vertex graph G with weights as above and an h-vertex graph H, either such a set X or a minor of G isomorphic to H. The algorithm runs in time O(h1=2n1=2m), where m is the number of edges of G plus the number of its vertices. Our results supply extensions of the many known applications of the Lipton-Tarjan separator theorem from the class of planar graphs (or that of graphs with bounded genus) to any class of graphs with an excluded minor. For example, it follows that for any fixed graph H , given a graph G with n vertices and with no H-minor one can approximate the size of the maximum independent set of G up to a relative error of 1=plog n in polynomial time, find that size exactly and find the chromatic number of G in time 2O(pn) and solve any sparse system of n linear equations in n unknowns whose sparsity structure corresponds to G in time O(n3=2).
    [Show full text]
  • Pursuit on Graphs Contents 1
    Pursuit on Graphs Contents 1. Introduction 2 1.1. The game 2 1.2. Examples 2 2. Lower bounds 4 2.1. A first idea 4 2.2. Aigner and Fromme 4 2.3. Easy generalisations of Aigner and Fromme 6 2.4. Graphs of larger girth 8 3. Upper Bounds 11 3.1. Main conjectures 11 3.2. The first non-trivial upper bound 12 3.3. An upper bound for graphs of large girth 14 3.4. A general upper bound 16 4. Random Graphs 19 4.1. Constant p 19 4.2. Variable p 20 4.3. The Zigzag Theorem 21 5. Cops and Fast Robber 27 5.1. Finding the correct bound 27 5.2. The construction 29 6. Conclusion 31 References 31 1 1. Introduction 1.1. The game. The aim of this essay is to give an overview of some topics concerning a game called Cops and Robbers, which was introduced independently by Nowakowski and Winkler [3] and Quillot [4]. Given a graph G, the game goes as follows. We have two players, one player controls some number k of cops and the other player controls the robber. First, the cops occupy some vertices of the graph, where more than one cop may occupy the same vertex. Then the robber, being fully aware of the cops' choices, chooses a vertex for himself 1. Afterwards the cops and the robber move in alternate rounds, with cops going first. At each step any cop or robber is allowed to move along an edge of G or remain stationary.
    [Show full text]
  • Arxiv:1908.10457V1 [Math.CO] 27 Aug 2019
    CLIQUE IMMERSION IN GRAPH PRODUCTS KAREN L. COLLINS, MEGAN E. HEENEHAN, AND JESSICA MCDONALD Abstract. Let G; H be graphs and G ∗ H represent a particular graph product of G and H. We define im(G) to be the largest t such that G has a Kt-immersion and ask: given im(G) = t and im(H) = r, how large is im(G ∗ H)? Best possible lower bounds are provided when ∗ is the Cartesian or lexicographic product, and a conjecture is offered for each of the direct and strong products, along with some partial results. 1. Introduction In this paper every graph is assumed to be simple. Formally, a pair of adjacent edges uv and vw in a graph are split off (or lifted) from their common vertex v by deleting the edges uv and vw, and adding the edge uw. Given graphs G; G0, we say that G has a G0-immersion if a graph isomorphic to G0 can be obtained from a subgraph of G by splitting off pairs of edges, and removing isolated vertices. We define the immersion number of a graph G, denoted im(G), to be the largest value t for which G has an Kt-immersion. We call the t vertices corresponding to those in the Kt-immersion the terminals of the immersion. Immersions have enjoyed increased interest in the last number of years (see eg. [4, 5, 6, 7, 8, 12, 16, 17, 18]). A major factor in this was Robertson and Seymour's [15] proof that graphs are well-quasi-ordered by immersion, published as part of their celebrated graph minors project (where they show that graphs are well-quasi-ordered by minors).
    [Show full text]
  • The Colin De Verdi`Ere Graph Parameter (Preliminary Version, March 1997)
    The Colin de Verdi`ere graph parameter (Preliminary version, March 1997) Hein van der Holst1, L´aszl´o Lov´asz2, and Alexander Schrijver3 Abstract. In 1990, Y. Colin de Verdi`ere introduced a new graph parameter µ(G), based on spectral properties of matrices associated with G. He showed that µ(G) is monotone under taking minors and that planarity of G is characterized by the inequality µ(G) ≤ 3. Recently Lov´asz and Schrijver showed that linkless embeddability of G is characterized by the inequality µ(G) ≤ 4. In this paper we give an overview of results on µ(G) and of techniques to handle it. Contents 1 Introduction 1.1 Definition 1.2 Some examples 1.3 Overview 2 Basic facts 2.1 Transversality and the Strong Arnold Property 2.2 Monotonicity and components 2.3 Clique sums 2.4 Subdivision and ∆Y transformation 2.5 The null space of M 3 Vector labellings 3.1 A semidefinite formulation 3.2 Gram labellings 3.3 Null space labellings 3.4 Cages, projective distance, and sphere labellings 4 Small values 4.1 Paths and outerplanar graphs 4.2 Planar graphs 4.3 Linkless embeddable graphs 5 Large values 5.1 The Strong Arnold Property and rigidity 5.2 Graphs with µ ≥ n − 3 5.3 Planar graphs and µ ≥ n − 4 References 1Department of Mathematics, Princeton University, Princeton, New Jersey 08544, U.S.A. 2Department of Computer Science, Yale University, New Haven, Connecticut 06520, U.S.A., and Depart- ment of Computer Science, E¨otv¨os Lor´and University, Budapest, Hungary H-1088 3CWI, Kruislaan 413, 1098 SJ Amsterdam, The Netherlands and Department of Mathematics, University of Amsterdam, Plantage Muidergracht 24, 1018 TV Amsterdam, The Netherlands.
    [Show full text]
  • MAS341: Graph Theory
    Contents 1 Introduction 1 1.1 A first look at graphs................1 1.2 Degree and handshaking...............6 1.3 Graph Isomorphisms.................9 1.4 Instant Insanity.................. 11 1.5 Trees...................... 15 1.6 Exercises..................... 19 2 Walks 22 2.1 Walks: the basics.................. 22 2.2 Eulerian Walks................... 25 2.3 Hamiltonian cycles................. 31 2.4 Exercises..................... 34 3 Algorithms 36 3.1 Prüfer Codes................... 36 3.2 Minimum Weight Spanning Trees............ 38 3.3 Digraphs..................... 43 3.4 Dijkstra’s Algorithm for Shortest Paths.......... 44 3.5 Algorithm for Longest Paths.............. 49 3.6 The Traveling Salesperson Problem........... 50 3.7 Exercises..................... 53 4 Graphs on Surfaces 57 4.1 Introduction to Graphs on Surfaces........... 57 4.2 The planarity algorithm for Hamiltonian graphs....... 61 4.3 Kuratowski’s Theorem................ 66 4.4 Drawing Graphs on Other surfaces........... 70 4.5 Euler’s Theorem.................. 75 4.6 Exercises..................... 79 5 Colourings 81 5.1 Chromatic number................. 81 5.2 Chromatic index and applications............ 83 5.3 Introduction to the chromatic polynomial......... 87 5.4 Chromatic Polynomial continued............ 91 i CONTENTS ii 5.5 Exercises..................... 94 Chapter 1 Introduction The first chapter is an introduction, including the formal definition of a graph and many terms we will use throughout. More importantly, however, are examples of these concepts and how you should think about them. As a first nontrivial use of graph theory, we explain how to solve the "Instant Insanity" puzzle. 1.1 A first look at graphs 1.1.1 The idea of a graph First and foremost, you should think of a graph as a certain type of picture, containing dots and lines connecting those dots, like so: C E A D B Figure 1.1.1 A graph We will typically use the letters G, H, or Γ (capital Gamma) to denote a graph.
    [Show full text]
  • Some Problems in Graph Ramsey Theory
    Some Problems in Graph Ramsey Theory by Andrey Vadim Grinshpun Submitted to the Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematics at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 2015 c Andrey Vadim Grinshpun, MMXV. All rights reserved. ○ The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Author................................................................ Department of Mathematics December 12, 2014 Certified by. Jacob Fox Associate Professor Thesis Supervisor Accepted by........................................................... Peter Shor Chairman, Applied Mathematics Committee, Department of Mathematics 2 Some Problems in Graph Ramsey Theory by Andrey Vadim Grinshpun Submitted to the Department of Mathematics on December 12, 2014, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematics Abstract A graph G is r-Ramsey minimal with respect to a graph H if every r-coloring of the edges of G yields a monochromatic copy of H, but the same is not true for any proper subgraph of G. The study of the properties of graphs that are Ramsey minimal with respect to some H and similar problems is known as graph Ramsey theory; we study several problems in this area. Burr, Erdős, and Lovász introduced s(H), the minimum over all G that are 2- Ramsey minimal for H of 훿(G), the minimum degree of G. We find the values of s(H) for several classes of graphs H, most notably for all 3-connected bipartite graphs which proves many cases of a conjecture due to Szabó, Zumstein, and Zürcher.
    [Show full text]
  • A Borsuk Theorem for Antipodal Links and a Spectral Characterization of Linklessly Embeddable Graphs1 L´Aszl´O Lov´Asz2 and Alexander Schrijver3
    A Borsuk theorem for antipodal links and a spectral characterization of linklessly embeddable graphs1 L´aszl´o Lov´asz2 and Alexander Schrijver3 Abstract. For any undirected graph G, let µ(G) be the graph parameter introduced by Colin de Verdi`ere. In this paper we show that µ(G) ≤ 4 if and only if G is linklessly embeddable (in 3 R ). This forms a spectral characterization of linklessly embeddable graphs, and was conjectured by Robertson, Seymour, and Thomas. A key ingredient is a Borsuk-type theorem on the existence of a pair of antipodal linked (k − 1)- 2k−1 spheres in certain mappings φ : S2k ! R . This result might be of interest in its own right. We also derive that λ(G) ≤ 4 for each linklessly embeddable graph G = (V; E), where λ(G) is the graph paramer introduced by van der Holst, Laurent, and Schrijver. (It is the largest dimension V of any subspace L of R such that for each nonzero x 2 L, the positive support of x induces a nonempty connected subgraph of G.) 1. Introduction Motivated by estimating the maximum multiplicity of the second eigenvalue of Schr¨odin- ger operators, Colin de Verdi`ere [4] (cf. [5]) introduced an interesting new invariant µ(G) for graphs G, based on spectral properties of matrices associated with G. He showed that the invariant is monotone under taking minors (that is, if H is a minor of G then µ(H) ≤ µ(G)), that µ(G) ≤ 1 if and only if G is a disjoint union of paths, that µ(G) ≤ 2 if and only if G is outerplanar, and that µ(G) ≤ 3 if and only if G is planar.
    [Show full text]
  • Treewidth of Graphs with Balanced Separations
    Treewidth of graphs with balanced separations Zdenˇek Dvoˇr´ak∗ Sergey Norin† Abstract We prove that if every subgraph of a graph G has a balanced separation of order at most a then G has treewidth at most 15a. This establishes a linear dependence between the treewidth and the separation number. 1 Introduction and results Treewidth of a graph is an important graph parameter introduced by Robert- son and Seymour [8], which expresses how “tree-like” a given graph is. The relation between the treewidth and other graph parameters, e.g. the maxi- mum order of a tangle [10] and the size of a largest grid-minor [9, 11, 3], has been explored in a number of papers; see [7] for a recent survey. The goal of this paper is to establish a linear dependence between treewidth and another parameter, the separation number, which we now define. A separation of a graph G is a pair (A, B) of subsets of V (G) such that A ∪ B = V (G) and no edge of G has one end in A \ B and the other in B \ A. The order of the separation (A, B) is |A ∩ B|. For an assignment + arXiv:1408.3869v2 [math.CO] 20 Dec 2018 w : V (G) → R0 of non-negative weights to vertices of G and a set X ⊆ V (G), we define w(X) = v∈X w(v). We say that a separation (A, B) of a graph P 2 2 G is w-balanced if w(A \ B) ≤ 3 w(V (G)) and w(B \ A) ≤ 3 w(V (G)).
    [Show full text]