On the Structure of the Power Graph and the Enhanced Power Graph of a Group
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Lecture 10: April 20, 2005 Perfect Graphs
Re-revised notes 4-22-2005 10pm CMSC 27400-1/37200-1 Combinatorics and Probability Spring 2005 Lecture 10: April 20, 2005 Instructor: L´aszl´oBabai Scribe: Raghav Kulkarni TA SCHEDULE: TA sessions are held in Ryerson-255, Monday, Tuesday and Thursday 5:30{6:30pm. INSTRUCTOR'S EMAIL: [email protected] TA's EMAIL: [email protected], [email protected] IMPORTANT: Take-home test Friday, April 29, due Monday, May 2, before class. Perfect Graphs k 1=k Shannon capacity of a graph G is: Θ(G) := limk (α(G )) : !1 Exercise 10.1 Show that α(G) χ(G): (G is the complement of G:) ≤ Exercise 10.2 Show that χ(G H) χ(G)χ(H): · ≤ Exercise 10.3 Show that Θ(G) χ(G): ≤ So, α(G) Θ(G) χ(G): ≤ ≤ Definition: G is perfect if for all induced sugraphs H of G, α(H) = χ(H); i. e., the chromatic number is equal to the clique number. Theorem 10.4 (Lov´asz) G is perfect iff G is perfect. (This was open under the name \weak perfect graph conjecture.") Corollary 10.5 If G is perfect then Θ(G) = α(G) = χ(G): Exercise 10.6 (a) Kn is perfect. (b) All bipartite graphs are perfect. Exercise 10.7 Prove: If G is bipartite then G is perfect. Do not use Lov´asz'sTheorem (Theorem 10.4). 1 Lecture 10: April 20, 2005 2 The smallest imperfect (not perfect) graph is C5 : α(C5) = 2; χ(C5) = 3: For k 2, C2k+1 imperfect. -
The Strong Perfect Graph Theorem
Annals of Mathematics, 164 (2006), 51–229 The strong perfect graph theorem ∗ ∗ By Maria Chudnovsky, Neil Robertson, Paul Seymour, * ∗∗∗ and Robin Thomas Abstract A graph G is perfect if for every induced subgraph H, the chromatic number of H equals the size of the largest complete subgraph of H, and G is Berge if no induced subgraph of G is an odd cycle of length at least five or the complement of one. The “strong perfect graph conjecture” (Berge, 1961) asserts that a graph is perfect if and only if it is Berge. A stronger conjecture was made recently by Conforti, Cornu´ejols and Vuˇskovi´c — that every Berge graph either falls into one of a few basic classes, or admits one of a few kinds of separation (designed so that a minimum counterexample to Berge’s conjecture cannot have either of these properties). In this paper we prove both of these conjectures. 1. Introduction We begin with definitions of some of our terms which may be nonstandard. All graphs in this paper are finite and simple. The complement G of a graph G has the same vertex set as G, and distinct vertices u, v are adjacent in G just when they are not adjacent in G.Ahole of G is an induced subgraph of G which is a cycle of length at least 4. An antihole of G is an induced subgraph of G whose complement is a hole in G. A graph G is Berge if every hole and antihole of G has even length. A clique in G is a subset X of V (G) such that every two members of X are adjacent. -
Research Topics in Graph Theory and Its Applications
Research Topics in Graph Theory and Its Applications Research Topics in Graph Theory and Its Applications By Vadim Zverovich Research Topics in Graph Theory and Its Applications By Vadim Zverovich This book first published 2019 Cambridge Scholars Publishing Lady Stephenson Library, Newcastle upon Tyne, NE6 2PA, UK British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Copyright © 2019 by Vadim Zverovich All rights for this book reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the copyright owner. ISBN (10): 1-5275-3533-9 ISBN (13): 978-1-5275-3533-6 Disclaimer: Any statements in this book might be fictitious and they represent the author's opinion. In memory of my son, Vladik (1987 { 2000) . Contents Preface xi 1 α-Discrepancy and Strong Perfectness 1 1.1 Background and Aims . 1 1.2 α-Discrepancy . 4 1.3 Strongly Perfect Graphs . 7 1.4 Computational Aspects . 10 1.5 Beneficiaries and Dissemination . 13 1.6 References . 14 1.7 Resources and Work Plan . 16 1.8 Reviewers' Reports . 19 1.9 PI's Response to Reviewers' Comments . 30 1.10 Summary of Key Lessons . 32 2 Braess' Paradox in Transport Networks 35 2.1 Background and Aims . 35 2.2 Braess' Paradox and Methodology . 40 2.3 Computational Aspects of Braess' Paradox . 44 2.4 Braess-like Situations in Rail Networks . 48 2.5 References . 49 2.6 Beneficiaries, Resources and Work Plan . -
A Constructive Formalization of the Weak Perfect Graph Theorem
A Constructive Formalization of the Weak Perfect Graph Theorem Abhishek Kr Singh1 and Raja Natarajan2 1 Tata Institute of Fundamental Research, Mumbai, India [email protected] 2 Tata Institute of Fundamental Research, Mumbai, India [email protected] Abstract The Perfect Graph Theorems are important results in graph theory describing the relationship between clique number ω(G) and chromatic number χ(G) of a graph G. A graph G is called perfect if χ(H) = ω(H) for every induced subgraph H of G. The Strong Perfect Graph Theorem (SPGT) states that a graph is perfect if and only if it does not contain an odd hole (or an odd anti-hole) as its induced subgraph. The Weak Perfect Graph Theorem (WPGT) states that a graph is perfect if and only if its complement is perfect. In this paper, we present a formal framework for working with finite simple graphs. We model finite simple graphs in the Coq Proof Assistant by representing its vertices as a finite set over a countably infinite domain. We argue that this approach provides a formal framework in which it is convenient to work with different types of graph constructions (or expansions) involved in the proof of the Lovász Replication Lemma (LRL), which is also the key result used in the proof of Weak Perfect Graph Theorem. Finally, we use this setting to develop a constructive formalization of the Weak Perfect Graph Theorem. Digital Object Identifier 10.4230/LIPIcs.CPP.2020. 1 Introduction The chromatic number χ(G) of a graph G is the minimum number of colours needed to colour the vertices of G so that no two adjacent vertices get the same colour. -
Structural Features of the Real and Rational Numbers ENCYCLOPEDIA of MATHEMATICS and ITS APPLICATIONS
ENCYCLOPEDIA OF MATHEMATICS AND ITS APPLICATIONS FOUNDED BY G.-C. ROTA Editorial Board P. Flajolet, M. Ismail, E. Lutwak Volume 112 The Classical Fields: Structural Features of the Real and Rational Numbers ENCYCLOPEDIA OF MATHEMATICS AND ITS APPLICATIONS FOUNDING EDITOR G.-C. ROTA Editorial Board P. Flajolet, M. Ismail, E. Lutwak 40 N. White (ed.) Matroid Applications 41 S. Sakai Operator Algebras in Dynamical Systems 42 W. Hodges Basic Model Theory 43 H. Stahl and V. Totik General Orthogonal Polynomials 45 G. Da Prato and J. Zabczyk Stochastic Equations in Infinite Dimensions 46 A. Bj¨orner et al. Oriented Matroids 47 G. Edgar and L. Sucheston Stopping Times and Directed Processes 48 C. Sims Computation with Finitely Presented Groups 49 T. Palmer Banach Algebras and the General Theory of *-Algebras I 50 F. Borceux Handbook of Categorical Algebra I 51 F. Borceux Handbook of Categorical Algebra II 52 F. Borceux Handbook of Categorical Algebra III 53 V. F. Kolchin Random Graphs 54 A. Katok and B. Hasselblatt Introduction to the Modern Theory of Dynamical Systems 55 V. N. Sachkov Combinatorial Methods in Discrete Mathematics 56 V. N. Sachkov Probabilistic Methods in Discrete Mathematics 57 P. M. Cohn Skew Fields 58 R. Gardner Geometric Tomography 59 G. A. Baker, Jr., and P. Graves-Morris Pade´ Approximants, 2nd edn 60 J. Krajicek Bounded Arithmetic, Propositional Logic, and Complexity Theory 61 H. Groemer Geometric Applications of Fourier Series and Spherical Harmonics 62 H. O. Fattorini Infinite Dimensional Optimization and Control Theory 63 A. C. Thompson Minkowski Geometry 64 R. B. Bapat and T. -
On the Structure of the Power Graph and the Enhanced Power Graph of a Group
On the structure of the power graph and the enhanced power graph of a group Ghodratollah Aalipour Saieed Akbari School of Mathematical Science Department of Mathematical Sciences Rochester Institute of Technology (RIT) Sharif University of Technology Rochester, NY 14623, USA. Tehran, Iran. [email protected] s [email protected] Peter J. Cameron Reza Nikandish School of Mathematics and Statistics Department of Basic Sciences University of St Andrews Jundi-Shapur University of Technology St Andrews, Fife KY16 9SS, UK. Dezful, Iran. [email protected] [email protected] Farzad Shaveisi Department of Mathematics, Faculty of Science Razi University Kermanshah, Iran. [email protected] Submitted: Sep 28, 2016; Accepted: Jul 17, 2017; Published: Jul 28, 2017 Mathematics Subject Classifications: 05C25, 05C69, 20D60 Abstract Let G be a group. The power graph of G is a graph with the vertex set G, having an edge between two elements whenever one is a power of the other. We characterize nilpotent groups whose power graphs have finite independence number. For a bounded exponent group, we prove its power graph is a perfect graph and we determine its clique/chromatic number. Furthermore, it is proved that for every group G, the clique number of the power graph of G is at most countably infinite. We also measure how close the power graph is to the commuting graph by introducing a new graph which lies in between. We call this new graph the enhanced power graph. For an arbitrary pair of these three graphs we characterize finite groups for which this pair of graphs are equal. -
Non-Cyclic Graph of a Group, E.G., the Non-Cyclic Graph of Any Non Locally Cyclic Group Is Always Connected and Its Diameter Is Less Than Or Equal to 3
NON-CYCLIC GRAPH OF A GROUP A. Abdollahi ∗ and A. Mohammadi Hassanabadi Department of Mathematics, University of Isfahan, Isfahan 81746-73441, Iran. NON-CYCLIC GRAPH OF A GROUP Abstract. We associate a graph ΓG to a non locally cyclic group G (called the non-cyclic graph of G) as follows: take G\Cyc(G) as vertex set, where Cyc(G)= {x ∈ G | hx, yi is cyclic for all y ∈ G}, and join two vertices if they do not generate a cyclic subgroup. We study the properties of this graph and we establish some graph theoretical properties (such as regularity) of this graph in terms of the group ones. We prove that the clique number of ΓG is finite if and only if ΓG has no infinite clique. We prove that if G is a finite nilpotent group and H is a group with ΓG =∼ ΓH and |Cyc(G)| = |Cyc(H)| = 1, then H is a finite nilpotent group. We give some examples of groups G whose non-cyclic graphs are “unique”, i.e., if ΓG =∼ ΓH for some group H, then G =∼ H. In view of these examples, we conjecture that every finite non-abelian simple group has a unique non-cyclic graph. Also we give some examples of finite non-cyclic groups G with the property that if ΓG =∼ ΓH for some group H, then |G| = |H|. These suggest the question whether the latter property holds for all finite non-cyclic groups. 1. Introduction and results arXiv:0708.2327v1 [math.GR] 17 Aug 2007 Let G be a group. -
Classes of Perfect Graphs
This paper appeared in: Discrete Mathematics 306 (2006), 2529-2571 Classes of Perfect Graphs Stefan Hougardy Humboldt-Universit¨atzu Berlin Institut f¨urInformatik 10099 Berlin, Germany [email protected] February 28, 2003 revised October 2003, February 2005, and July 2007 Abstract. The Strong Perfect Graph Conjecture, suggested by Claude Berge in 1960, had a major impact on the development of graph theory over the last forty years. It has led to the definitions and study of many new classes of graphs for which the Strong Perfect Graph Conjecture has been verified. Powerful concepts and methods have been developed to prove the Strong Perfect Graph Conjecture for these special cases. In this paper we survey 120 of these classes, list their fundamental algorithmic properties and present all known relations between them. 1 Introduction A graph is called perfect if the chromatic number and the clique number have the same value for each of its induced subgraphs. The notion of perfect graphs was introduced by Berge [6] in 1960. He also conjectured that a graph is perfect if and only if it contains, as an induced subgraph, neither an odd cycle of length at least five nor its complement. This conjecture became known as the Strong Perfect Graph Conjecture and attempts to prove it contributed much to the developement of graph theory in the past forty years. The methods developed and the results proved have their uses also outside the area of perfect graphs. The theory of antiblocking polyhedra developed by Fulkerson [37], and the theory of modular decomposition (which has its origins in a paper of Gallai [39]) are two such examples. -
Strong Perfect Graph Theorem a Graph G Is Perfect If and Only If Neither G Nor Its Complement G¯ Contains an Induced Odd Circuit of Length ≥ 5
THEOREM OF THE DAY The Strong Perfect Graph Theorem A graph G is perfect if and only if neither G nor its complement G¯ contains an induced odd circuit of length ≥ 5. An induced odd circuit is an odd-length, circular sequence of edges having no ‘short-circuit’ edges across it, while G¯ is the graph obtained by replacing edges in G by non-edges and vice-versa. A perfect graph G is one in which, for every induced subgraph H, the size of a largest clique (that is, maximal complete subgraph) is equal to the chromatic number of H (the least number of vertex colours guaranteeing no identically coloured adjacent vertices). This deep and subtle property is confirmed by today’s theorem to have a surprisingly simple characterisation, whereby the railway above is clearly perfect. The railway scenario illustrates just one way in which perfect graphs are important. We wish to dispatch goods every day from depots v1, v2,..., choosing the best-stocked depots but subject to the constraint that we nominate at most one depot per network clique, so as to avoid head-on collisions. The depot-clique incidence relationship is modelled as a 0-1 matrix and we attempt to replicate our constraint numerically from this as a set of inequalities (far right, bottom). Now we may optimise dispatch as a standard linear programming problem unless... the optimum allocates a fractional amount to each depot, failing to respect the one-depot-per-clique constraint. A 1975 theorem of V. Chv´atal asserts: if a clique incidence matrix is the constraint matrix for a linear programme then an integer optimal solution is guaranteed if and only if the underlying network is a perfect graph. -
Perfect Graphs the American Institute of Mathematics
Perfect Graphs The American Institute of Mathematics This is a hard{copy version of a web page available through http://www.aimath.org Input on this material is welcomed and can be sent to [email protected] Version: Tue Aug 24 11:37:57 2004 0 The chromatic number of a graph G, denoted by Â(G), is the minimum number of colors needed to color the vertices of G in such a way that no two adjacent vertices receive the same color. Clearly Â(G) is bounded from below by the size of a largest clique in G, denoted by !(G). In 1960, Berge introduced the notion of a perfect graph. A graph G is perfect, if for every induced subgraph H of G, Â(H) = !(H). A hole in a graph is a chordless cycle of length greater than 3, and it is even or odd depending on the number of vertices it contains. An antihole is the complement of a hole. It is easily seen that odd holes and odd antiholes are not perfect. Berge conjectured that these are the only minimal imperfect graphs, i.e., a graph is perfect if and only if it does not contain an odd hole nor an odd antihole. (When we say that a graph G contains a graph H, we mean as an induced subgraph). This was known as the Strong Perfect Graph Conjecture (SPGC), whose proof has been announced recently. 0This document was organized by Maria Chudnovsky as part of the lead-in and followup to the ARCC focused workshop \The Perfect Graph Conjecture," October 29 to Novenber 2, 2002. -
Arxiv:2012.02851V1 [Math.CO]
Some New Results Concerning Power Graphs and Enhanced Power Graphs of Groups I. Boˇsnjak, R. Madar´asz, S. Zahirovi´c Abstract The directed power graph G~(G) of a group G is the simple digraph with vertex set G such that x → y if y is a power of x. The power graph of G, denoted by G(G), is the underlying simple graph. The enhanced power graph Ge(G) of G is the simple graph with vertex set G in which two elements are adjacent if they generate a cyclic subgroup. In this paper it is proved that, if two groups have isomorphic power graphs, then they have isomorphic enhanced power graphs too. A suffi- cient condition for a group to have perfect enhanced power graph is given. By this condition, any group having order divisible by at most two primes has perfect enhanced power graph. 1 Introduction The directed power graph of a group G is the simple directed graph whose vertex set is G, and in which x → y if y is a power of x. Its underlying simple graph is called the power graph of the group. The directed power graph was introduced by Kelarev and Quinn [15], while the power graph was first studied by Chakrabarty, Ghosh and Sen [11]. The power graph has been subject of many papers, including [1, 6–10, 16–18, 22, 23]. In these papers, combinatorial and algebraic properties of the power graph have received great attention. For more details the survey [2] is recommended. The enhanced power graph of a group is the simple graph whose vertices are elements of the group, and in which two vertices are adjacent if they are powers of some element of the group, i.e. -
Colouring Perfect Graphs with Bounded Clique Number Maria Chudnovsky, Aurélie Lagoutte, Paul Seymour, Sophie Spirkl
Colouring perfect graphs with bounded clique number Maria Chudnovsky, Aurélie Lagoutte, Paul Seymour, Sophie Spirkl To cite this version: Maria Chudnovsky, Aurélie Lagoutte, Paul Seymour, Sophie Spirkl. Colouring perfect graphs with bounded clique number. Journal of Combinatorial Theory, Series B, Elsevier, 2017, 122, pp.757-775. 10.1016/j.jctb.2016.09.006. hal-01561528 HAL Id: hal-01561528 https://hal.archives-ouvertes.fr/hal-01561528 Submitted on 12 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Colouring perfect graphs with bounded clique number Maria Chudnovsky1 Princeton University, Princeton, NJ 08544 Aur´elie Lagoutte2 LIP, UMR 5668, ENS Lyon, CNRS, UCBL, INRIA, Universit´ede Lyon, France Paul Seymour3 Princeton University, Princeton, NJ 08544 Sophie Spirkl Princeton University, Princeton, NJ 08544 November 4, 2015; revised September 2, 2016 1Supported by NSF grant DMS-1550991 and US Army Research Office Grant W911NF-16-1-0404. 2Partially supported by ANR Grant STINT:ANR-13-BS02-0007, and performed while visiting Princeton University. 3Supported by ONR grant N00014-14-1-0084 and NSF grant DMS-1265563. Abstract A graph is perfect if the chromatic number of every induced subgraph equals the size of its largest clique, and an algorithm of Gr¨otschel, Lov´asz, and Schrijver [9] from 1988 finds an optimal colouring of a perfect graph in polynomial time.