Mathematisches Forschungsinstitut Oberwolfach Graph Theory
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Instituto De Computação ✄✂ ✁✂✄✁✂✄✁✂ ✄✁ ✄✂✁ ✄✂ ✁✄✂ ✁ ✂✁✂✁✂✁✂✁✂✁✂✁✂✁ Universidade Estadual De Campinas
✄✄ ✄ ✄ ✄ ✄✄ ✄✂ ✁✂✄✁✂ ✄✁✂ ✄✁ ✄✂ ✁✄ ✂✄✁✂ ✁ ✄✂ ✄✁ ✄✂ ✄✁✂ ✁✂✄✁✂ ✁✄✂ ✁✄✂ ✁ INSTITUTO DE COMPUTAÇÃO ✄✂ ✁✂✄✁✂✄ ✁✂✄ ✁✄ ✂ ✁✄✂ ✁✄✂ ✁ ✂✁✂✁✂✁✂✁✂✁✂✁✂✁ UNIVERSIDADE ESTADUAL DE CAMPINAS Colorings and crossings Atílio G. Luiz R. Bruce Richter Technical Report - IC-13-18 - Relatório Técnico August - 2013 - Agosto The contents of this report are the sole responsibility of the authors. O conteúdo do presente relatório é de única responsabilidade dos autores. Colorings and crossings∗ At´ılioG. Luiz† R. Bruce Richter‡ Abstract In 2007, Albertson conjectured that if a graph G has chromatic number k, then the crossing number of G is at least the crossing number of the complete graph with k vertices. To date, two papers were written on this subject trying to solve the conjecture for an arbitrary k-chromatic graph G, and after much effort the conjecture was proved true for k ≤ 16. In this report, we present an overview of topics related to Albertson’s Conjecture, such as: the crossing number problem, lower bounds on crossing number, lower bounds on the number of edges of color-critical graphs, and coloring of graphs with small crossing number and small clique number. While investigating Albertson’s conjecture, J. Bar´at and G. T´oth proposed the following conjecture involving color- critical graphs: for every positive integer c, there exists a bound k(c) such that for any k, where k ≥ k(c), any k-critical graph on k + c vertices has a subdivision of Kk. In Section 9, we present counterexamples to this conjecture for every c ≥ 6 and we prove that the conjecture is valid for c = 5. 1 Introduction A graph G is planar if it can be drawn in the plane so that its edges intersect only at their ends. -
Characterizations of Graphs Without Certain Small Minors by J. Zachary
Characterizations of Graphs Without Certain Small Minors By J. Zachary Gaslowitz Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Mathematics May 11, 2018 Nashville, Tennessee Approved: Mark Ellingham, Ph.D. Paul Edelman, Ph.D. Bruce Hughes, Ph.D. Mike Mihalik, Ph.D. Jerry Spinrad, Ph.D. Dong Ye, Ph.D. TABLE OF CONTENTS Page 1 Introduction . 2 2 Previous Work . 5 2.1 Planar Graphs . 5 2.2 Robertson and Seymour's Graph Minor Project . 7 2.2.1 Well-Quasi-Orderings . 7 2.2.2 Tree Decomposition and Treewidth . 8 2.2.3 Grids and Other Graphs with Large Treewidth . 10 2.2.4 The Structure Theorem and Graph Minor Theorem . 11 2.3 Graphs Without K2;t as a Minor . 15 2.3.1 Outerplanar and K2;3-Minor-Free Graphs . 15 2.3.2 Edge-Density for K2;t-Minor-Free Graphs . 16 2.3.3 On the Structure of K2;t-Minor-Free Graphs . 17 3 Algorithmic Aspects of Graph Minor Theory . 21 3.1 Theoretical Results . 21 3.2 Practical Graph Minor Containment . 22 4 Characterization and Enumeration of 4-Connected K2;5-Minor-Free Graphs 25 4.1 Preliminary Definitions . 25 4.2 Characterization . 30 4.3 Enumeration . 38 5 Characterization of Planar 4-Connected DW6-minor-free Graphs . 51 6 Future Directions . 91 BIBLIOGRAPHY . 93 1 Chapter 1 Introduction All graphs in this paper are finite and simple. Given a graph G, the vertex set of G is denoted V (G) and the edge set is denoted E(G). -
Topics in Low Dimensional Computational Topology
THÈSE DE DOCTORAT présentée et soutenue publiquement le 7 juillet 2014 en vue de l’obtention du grade de Docteur de l’École normale supérieure Spécialité : Informatique par ARNAUD DE MESMAY Topics in Low-Dimensional Computational Topology Membres du jury : M. Frédéric CHAZAL (INRIA Saclay – Île de France ) rapporteur M. Éric COLIN DE VERDIÈRE (ENS Paris et CNRS) directeur de thèse M. Jeff ERICKSON (University of Illinois at Urbana-Champaign) rapporteur M. Cyril GAVOILLE (Université de Bordeaux) examinateur M. Pierre PANSU (Université Paris-Sud) examinateur M. Jorge RAMÍREZ-ALFONSÍN (Université Montpellier 2) examinateur Mme Monique TEILLAUD (INRIA Sophia-Antipolis – Méditerranée) examinatrice Autre rapporteur : M. Eric SEDGWICK (DePaul University) Unité mixte de recherche 8548 : Département d’Informatique de l’École normale supérieure École doctorale 386 : Sciences mathématiques de Paris Centre Numéro identifiant de la thèse : 70791 À Monsieur Lagarde, qui m’a donné l’envie d’apprendre. Résumé La topologie, c’est-à-dire l’étude qualitative des formes et des espaces, constitue un domaine classique des mathématiques depuis plus d’un siècle, mais il n’est apparu que récemment que pour de nombreuses applications, il est important de pouvoir calculer in- formatiquement les propriétés topologiques d’un objet. Ce point de vue est la base de la topologie algorithmique, un domaine très actif à l’interface des mathématiques et de l’in- formatique auquel ce travail se rattache. Les trois contributions de cette thèse concernent le développement et l’étude d’algorithmes topologiques pour calculer des décompositions et des déformations d’objets de basse dimension, comme des graphes, des surfaces ou des 3-variétés. -
Rooted Graph Minors and Reducibility of Graph Polynomials Arxiv
Rooted Graph Minors and Reducibility of Graph Polynomials by Benjamin Richard Moore B.A., Thompson Rivers University, 2015 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Masters of Science in the Department of Mathematics and Statistics Faculty of Science c Benjamin Richard Moore 2017 SIMON FRASER UNIVERSITY Spring 2017 arXiv:1704.04701v1 [math.CO] 15 Apr 2017 All rights reserved. However, in accordance with the Copyright Act of Canada, this work may be reproduced without authorization under the conditions for “Fair Dealing.” Therefore, limited reproduction of this work for the purposes of private study, research, criticism, review and news reporting is likely to be in accordance with the law, particularly if cited appropriately. Approval Name: Benjamin Richard Moore Degree: Masters of Science (Mathematics) Title: Rooted Graph Minors and Reducibility of Graph Poly- nomials Examining Committee: Dr. Ladislav Stacho (chair) Associate Professor Dr. Karen Yeats Senior Supervisor Associate Professor Dr. Luis Goddyn Supervisor Professor Dr. Bojan Mohar Internal Examiner Professor Date Defended: April 6, 2017 ii Abstract In 2009, Brown gave a set of conditions which when satisfied imply that a Feynman integral evaluates to a multiple zeta value. One of these conditions is called reducibility, which loosely says there is an order of integration for the Feynman integral for which Brown’s techniques will succeed. Reducibility can be abstracted away from the Feynman integral to just being a condition on two polynomials, the first and second Symanzik polynomials. The first Symanzik polynomial is defined from the spanning trees of a graph, and the second Symanzik polynomial is defined from both spanning forests of a graph and some edge and vertex weights, called external momenta and masses. -
Crossings, Colorings, and Cliques
Crossings, colorings, and cliques Michael O. Albertson ∗ Daniel W. Cranston † Jacob Fox ‡ Abstract Albertson conjectured that if graph G has chromatic number r, then the crossing number of G is at least that of the complete graph Kr. This conjecture in the case r = 5 is equivalent to the four color theorem. It was verified for r = 6 by Oporowski and Zhao. In this paper, we prove the conjecture for 7 ≤ r ≤ 12 using results of Dirac; Gallai; and Kostochka and Stiebitz that give lower bounds on the number of edges in critical graphs, together with lower bounds by Pach et al. on the crossing number of graphs in terms of the number of edges and vertices. 1 Introduction For more than a century, from Kempe through Appel and Haken and continuing to the present, the Four Color Problem [5, 31] has played a leading role in the development of graph theory. For background we recommend the classic book by Jensen and Toft [18]. There are three classic relaxations of planarity. The first is that of a graph embedded on an arbitrary surface. Here Heawood established an upper bound for the number of colors needed to color any embedded graph. About forty years ago Ringel and Youngs completed the work of showing that the Heawood bound is (with the exception of Klein’s bottle) sharp. Shortly thereafter Appel and Haken proved the Four Color Theorem. One consequence of these results is that the maximum chromatic number of a graph embedded on any given surface is achieved by a complete graph. -
Minor Excluded Network Families Admit Fast Distributed Algorithms∗
Minor Excluded Network Families Admit Fast Distributed Algorithms∗ Bernhard Haeupler,y Jason Li,y Goran Zuzicy January 22, 2018 Abstract Distributed network optimization algorithms, such as minimum spanning tree, minimum cut, and shortest path, are an active research area in distributed computing. This paper presents a fast distributed algorithm for such problems in the CONGEST model, on networks that exclude a fixed minor. pOn general graphs, many optimization problems, including the ones mentioned above, require Ω(~ n) rounds of communication in the CONGEST model, even if the network graph has a much smaller diameter. Naturally, the next step in algorithm design is to design efficient algorithms which bypass this lower bound on a restricted class of graphs. Currently, the only known method of doing so uses the low-congestion shortcut framework of Ghaffari and Haeupler [SODA'16]. Building off of their work, this paper proves that excluded minor graphs admit high-quality shortcuts, leading to an O~(D2) round algorithm for the aforementioned problems, where D is the diameter of the network graph. To work with excluded minor graph families, we utilize the Graph Structure Theorem of Robertson and Seymour. To the best of our knowledge, this is the first time the Graph Structure Theorem has been used for an algorithmic result in the distributed setting. Even though the proof is involved, merely showing the existence of good shortcuts is sufficient to obtain simple, efficient distributed algorithms. In particular, the shortcut framework can effi- ciently construct near-optimal shortcuts and then use them to solve the optimization problems. This, combined with the very general family of excluded minor graphs, which includes most other important graph classes, makes this result of significant interest. -
Graph Theory Graph Theory (II)
J.A. Bondy U.S.R. Murty Graph Theory (II) ABC J.A. Bondy, PhD U.S.R. Murty, PhD Universite´ Claude-Bernard Lyon 1 Mathematics Faculty Domaine de Gerland University of Waterloo 50 Avenue Tony Garnier 200 University Avenue West 69366 Lyon Cedex 07 Waterloo, Ontario, Canada France N2L 3G1 Editorial Board S. Axler K.A. Ribet Mathematics Department Mathematics Department San Francisco State University University of California, Berkeley San Francisco, CA 94132 Berkeley, CA 94720-3840 USA USA Graduate Texts in Mathematics series ISSN: 0072-5285 ISBN: 978-1-84628-969-9 e-ISBN: 978-1-84628-970-5 DOI: 10.1007/978-1-84628-970-5 Library of Congress Control Number: 2007940370 Mathematics Subject Classification (2000): 05C; 68R10 °c J.A. Bondy & U.S.R. Murty 2008 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or trans- mitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered name, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. -
Graph Coloring: a Novel Heuristic Based on Trailing Path—Properties, Perspective and Applications in Structured Networks
Graph coloring: a novel heuristic based on trailing path—properties, perspective and applications in structured networks Abhirup Bandyopadhyay, Amit kumar Dhar & Sankar Basu Soft Computing A Fusion of Foundations, Methodologies and Applications ISSN 1432-7643 Volume 24 Number 1 Soft Comput (2020) 24:603-625 DOI 10.1007/s00500-019-04278-8 1 23 Your article is protected by copyright and all rights are held exclusively by Springer- Verlag GmbH Germany, part of Springer Nature. This e-offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com”. 1 23 Author's personal copy Soft Computing (2020) 24:603–625 https://doi.org/10.1007/s00500-019-04278-8 (0123456789().,-volV)(0123456789().,- volV) METHODOLOGIES AND APPLICATION Graph coloring: a novel heuristic based on trailing path—properties, perspective and applications in structured networks 1 2,3 4,5,6 Abhirup Bandyopadhyay • Amit kumar Dhar • Sankar Basu Published online: 14 August 2019 Ó Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Graph coloring is a manifestation of graph partitioning, wherein a graph is partitioned based on the adjacency of its elements. -
Towards the Albertson Conjecture
Towards the Albertson conjecture J´anos Bar´at∗ Department of Computer Science and Systems Technology University of Pannonia, Egyetem u. 10, 8200 Veszpr´em, Hungary [email protected] G´eza T´oth† R´enyi Institute, Re´altanoda u. 13-15, 1052 Budapest, Hungary [email protected] Submitted: Sep 2, 2009; Accepted: May 7, 2010; Published: May 14, 2010 Mathematics Subject Classification: 05C10, 05C15 Abstract Albertson conjectured that if a graph G has chromatic number r, then the crossing number of G is at least as large as the crossing number of Kr, the complete graph on r vertices. Albertson, Cranston, and Fox verified the conjecture for r 6 12. In this paper we prove it for r 6 16. Dedicated to the memory of Michael O. Albertson. 1 Introduction Graphs in this paper are without loops and multiple edges. Every planar graph is four- colorable by the Four Color Theorem [2, 24]. The efforts to solve the Four Color Problem had a great effect on the development of graph theory, and FCT is one of the most important theorems of the field. The crossing number of a graph G, denoted cr(G), is the minimum number of edge crossings in a drawing of G in the plane. It is a natural relaxation of planarity, see [25] for a survey. The chromatic number of a graph G, denoted χ(G), is the minimum number of colors in a proper coloring of G. The Four Color Theorem states: if cr(G) = 0, then χ(G) 6 4. Oporowski and Zhao [18] proved that every graph with crossing number at most two is 5-colorable. -
Approximation Algorithms for Routing and Related Problems on Directed Minor-Free Graphs
Approximation algorithms for routing and related problems on directed minor-free graphs Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Ario Salmasi, Graduate Program in Department of Computer Science and Engineering The Ohio State University 2019 Dissertation Committee: Yusu Wang, Co-Advisor Anastasios Sidiropoulos, Co-Advisor Srinivasan Parthasarathy Rephael Wenger c Copyright by Ario Salmasi 2019 Abstract This thesis addresses two of the fundamental routing problems in directed minor-free graphs. Broadly speaking, minor-free graphs are a generalization of planar graphs, and their structural and topological properties can be used in order to achieve efficient algorithms. A graph H is called a minor of a given graph G, if it can be obtained from G by deleting vertices and edges, and contracting edges. For any graph H, the family of H-minor-free graphs is the set of all graphs excluding H as a minor. The graph structure theorem by Robertson and Seymour determines the rough structure of any family of minor-free graphs. By using the graph structure theorem, we are able to exploit the structural and topological features of a minor-free graph, in order to obtain better approximation algorithms for several problems. As mentioned, we study two of the fundamental routing problems in different families of minor-free graphs. We first study the Asymmetric Traveling Salesman Problem (ATSP). In this problem, the goal is to find a closed walk of minimum cost in a directed graph visiting every vertex. We consider this problem on nearly-embeddable graphs, and show that it admits a constant factor approximation. -
A Fixed Parameter Tractable Approximation Scheme for the Optimal Cut Graph of a Surface∗
A Fixed Parameter Tractable Approximation Scheme for the Optimal Cut Graph of a Surface∗ Vincent Cohen-Addady Arnaud de Mesmayz Abstract Given a graph G cellularly embedded on a surface Σ of genus g, a cut graph is a subgraph of G such that cutting Σ along G yields a topological disk. We provide a fixed parameter tractable approximation scheme for the problem of computing the shortest cut graph, that is, for any " > 0, we show how to compute a (1 + ") approximation of the shortest cut graph in time f("; g)n3. Our techniques first rely on the computation of a spanner for the problem using the technique of brick decompositions, to reduce the problem to the case of bounded tree- width. Then, to solve the bounded tree-width case, we introduce a variant of the surface-cut decomposition of Ru´e,Sau and Thilikos, which may be of independent interest. 1 Introduction Embedded graphs are commonly used to model a wide array of discrete structures, and in many cases it is necessary to consider embeddings into surfaces instead of the plane or the sphere. For example, many instances of network design actually feature some crossings, coming from tunnels or overpasses, which are appropriately modeled by a surface of small genus. In other settings, such as in computer graphics or computer-aided design, we are looking for a discrete model for objects which inherently display a non-trivial topology (e.g., holes), and graphs embedded on surfaces are the natural tool for that. From a more theoretical point of view, the graph structure theorem of Robertson and Seymour showcases a very strong connection between graphs embedded on surfaces and minor-closed families of graphs. -
Hyperbolic Families and Coloring Graphs on Surfaces
TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY, SERIES B Volume 5, Pages 167–221 (December 4, 2018) https://doi.org/10.1090/btran/26 HYPERBOLIC FAMILIES AND COLORING GRAPHS ON SURFACES LUKE POSTLE AND ROBIN THOMAS Abstract. We develop a theory of linear isoperimetric inequalities for graphs on surfaces and apply it to coloring problems, as follows. Let G be a graph embedded in a fixed surface Σ of genus g and let L =(L(v):v ∈ V (G)) be a collection of lists such that either each list has size at least five, or each list has size at least four and G is triangle-free, or each list has size at least three and G has no cycle of length four or less. An L-coloring of G is a mapping φ with domain V (G) such that φ(v) ∈ L(v) for every v ∈ V (G)andφ(v) = φ(u) for every pair of adjacent vertices u, v ∈ V (G). We prove • if every non-null-homotopic cycle in G has length Ω(log g), then G has an L-coloring, • if G does not have an L-coloring, but every proper subgraph does (“L- critical graph”), then |V (G)| = O(g), • if every non-null-homotopic cycle in G has length Ω(g), and a set X ⊆ V (G) of vertices that are pairwise at distance Ω(1) is precolored from the corresponding lists, then the precoloring extends to an L-coloring of G, • if every non-null-homotopic cycle in G has length Ω(g), and the graph G is allowed to have crossings, but every two crossings are at distance Ω(1), then G has an L-coloring, • if G has at least one L-coloring, then it has at least 2Ω(|V (G)|) distinct L-colorings.