Progress on Perfect Graphs
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												  Forbidden Subgraph Characterization of Quasi-Line Graphs Medha Dhurandhar [email protected]Forbidden Subgraph Characterization of Quasi-line Graphs Medha Dhurandhar [email protected] Abstract: Here in particular, we give a characterization of Quasi-line Graphs in terms of forbidden induced subgraphs. In general, we prove a necessary and sufficient condition for a graph to be a union of two cliques. 1. Introduction: A graph is a quasi-line graph if for every vertex v, the set of neighbours of v is expressible as the union of two cliques. Such graphs are more general than line graphs, but less general than claw-free graphs. In [2] Chudnovsky and Seymour gave a constructive characterization of quasi-line graphs. An alternative characterization of quasi-line graphs is given in [3] stating that a graph has a fuzzy reconstruction iff it is a quasi-line graph and also in [4] using the concept of sums of Hoffman graphs. Here we characterize quasi-line graphs in terms of the forbidden induced subgraphs like line graphs. We consider in this paper only finite, simple, connected, undirected graphs. The vertex set of G is denoted by V(G), the edge set by E(G), the maximum degree of vertices in G by Δ(G), the maximum clique size by (G) and the chromatic number by G). N(u) denotes the neighbourhood of u and N(u) = N(u) + u. For further notation please refer to Harary [3]. 2. Main Result: Before proving the main result we prove some lemmas, which will be used later. Lemma 1: If G is {3K1, C5}-free, then either 1) G ~ K|V(G)| or 2) If v, w V(G) are s.t.
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												  Lecture 10: April 20, 2005 Perfect GraphsRe-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.
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												  Clay Mathematics Institute 2005 James AContents 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
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												  The Strong Perfect Graph TheoremAnnals 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.
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												  Algorithms for Deletion Problems on Split GraphsAlgorithms for deletion problems on split graphs Dekel Tsur∗ Abstract In the Split to Block Vertex Deletion and Split to Threshold Vertex Deletion problems the input is a split graph G and an integer k, and the goal is to decide whether there is a set S of at most k vertices such that G − S is a block graph and G − S is a threshold graph, respectively. In this paper we give algorithms for these problems whose running times are O∗(2.076k) and O∗(2.733k), respectively. Keywords graph algorithms, parameterized complexity. 1 Introduction A graph G is called a split graph if its vertex set can be partitioned into two disjoint sets C and I such that C is a clique and I is an independent set. A graph G is a block graph if every biconnected component of G is a clique. A graph G is a threshold graph if there is a t ∈ R and a function f : V (G) → R such that for every u, v ∈ V (G), (u, v) is an edge in G if and only if f(u)+ f(v) ≥ t. In the Split to Block Vertex Deletion (SBVD) problem the input is a split graph G and an integer k, and the goal is to decide whether there is a set S of at most k vertices such that G − S is a block graph. Similarly, in the Split to Threshold Vertex Deletion (STVD) problem the input is a split graph G and an integer k, and the goal is to decide whether there is a set S of at most k vertices such that G − S is a threshold graph.
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												  Some Remarks on Even-Hole-Free GraphsSome remarks on even-hole-free graphs Zi-Xia Song∗ Department of Mathematics, University of Central Florida, Orlando, FL 32816, USA Abstract A vertex of a graph is bisimplicial if the set of its neighbors is the union of two cliques; a graph is quasi-line if every vertex is bisimplicial. A recent result of Chudnovsky and Seymour asserts that every non-empty even-hole-free graph has a bisimplicial vertex. Both Hadwiger’s conjecture and the Erd˝os-Lov´asz Tihany conjecture have been shown to be true for quasi-line graphs, but are open for even-hole-free graphs. In this note, we prove that for all k ≥ 7, every even-hole-free graph with no Kk minor is (2k − 5)-colorable; every even-hole-free graph G with ω(G) < χ(G) = s + t − 1 satisfies the Erd˝os-Lov´asz Tihany conjecture provided that t ≥ s>χ(G)/3. Furthermore, we prove that every 9-chromatic graph G with ω(G) ≤ 8 has a K4 ∪ K6 minor. Our proofs rely heavily on the structural result of Chudnovsky and Seymour on even-hole-free graphs. 1 Introduction All graphs in this paper are finite and simple. For a graph G, we use V (G) to denote the vertex set, E(G) the edge set, |G| the number of vertices, e(G) the number of edges, δ(G) the minimum degree, ∆(G) the maximum degree, α(G) the independence number, ω(G) the clique number and χ(G) the chromatic number. A graph H is a minor of a graph G if H can be obtained from a subgraph of G by contracting edges.
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												  Decomposing Berge Graphs and Detecting Balanced Skew Partitions Nicolas TrotignonDecomposing Berge graphs and detecting balanced skew partitions Nicolas Trotignon To cite this version: Nicolas Trotignon. Decomposing Berge graphs and detecting balanced skew partitions. 2006. halshs- 00115625 HAL Id: halshs-00115625 https://halshs.archives-ouvertes.fr/halshs-00115625 Submitted on 22 Nov 2006 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. Centre d’Economie de la Sorbonne UMR 8174 Decomposing Berge graphs and detecting balanced skew partitions Nicolas TROTIGNON 2006.36 Maison des Sciences Économiques, 106-112 boulevard de L'Hôpital, 75647 Paris Cedex 13 http://mse.univ-paris1.fr/Publicat.htm ISSN : 1624-0340 Decomposing Berge graphs and detecting balanced skew partitions Nicolas Trotignon∗ April 26, 2006 Abstract A hole in a graph is an induced cycle on at least four vertices. A graph is Berge if it has no odd hole and if its complement has no odd hole. In 2002, Chudnovsky, Robertson, Seymour and Thomas proved a decomposition theorem for Berge graphs saying that every Berge graph either is in a well understood basic class or has some kind of decomposition. Then, Chudnovsky proved stronger theorems. One of them restricts the allowed decompositions to 2-joins and balanced skew partitions.
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												  Online Graph ColoringOnline Graph Coloring Jinman Zhao - CSC2421 Online Graph coloring Input sequence: Output: Goal: Minimize k. k is the number of color used. Chromatic number: Smallest number of need for coloring. Denoted as . Lower bound Theorem: For every deterministic online algorithm there exists a logn-colorable graph for which the algorithm uses at least 2n/logn colors. The performance ratio of any deterministic online coloring algorithm is at least . Transparent online coloring game Adversary strategy : The collection of all subsets of {1,2,...,k} of size k/2. Avail(vt): Admissible colors consists of colors not used by its pre-neighbors. Hue(b)={Corlor(vi): Bin(vi) = b}: hue of a bin is the set of colors of vertices in the bin. H: hue collection is a set of all nonempty hues. #bin >= n/(k/2) #color<=k ratio>=2n/(k*k) Lower bound Theorem: For every randomized online algorithm there exists a k- colorable graph on which the algorithm uses at least n/k bins, where k=O(logn). The performance ratio of any randomized online coloring algorithm is at least . Adversary strategy for randomized algo Relaxing the constraint - blocked input Theorem: The performance ratio of any randomized algorithm, when the input is presented in blocks of size , is . Relaxing other constraints 1. Look-ahead and bufferring 2. Recoloring 3. Presorting vertices by degree 4. Disclosing the adversary’s previous coloring First Fit Use the smallest numbered color that does not violate the coloring requirement Induced subgraph A induced subgraph is a subset of the vertices of a graph G together with any edges whose endpoints are both in the subset.
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												  The Structure of Claw-Free GraphsThe structure of claw-free graphs Maria Chudnovsky and Paul Seymour Abstract A graph is claw-free if no vertex has three pairwise nonadjacent neighbours. At first sight, there seem to be a great variety of types of claw-free graphs. For instance, there are line graphs, the graph of the icosahedron, complements of triangle-free graphs, and the Schl¨afli graph (an amazingly highly-symmetric graph with 27 vertices), and more; for instance, if we arrange vertices in a circle, choose some intervals from the circle, and make the vertices in each interval adjacent to each other, the graph we produce is claw-free. There are several other such examples, which we regard as \basic" claw-free graphs. Nevertheless, it is possible to prove a complete structure theorem for claw- free graphs. We have shown that every connected claw-free graph can be ob- tained from one of the basic claw-free graphs by simple expansion operations. In this paper we explain the precise statement of the theorem, sketch the proof, and give a few applications. 1 Introduction A graph is claw-free if no vertex has three pairwise nonadjacent neighbours. (Graphs in this paper are finite and simple.) Line graphs are claw-free, and it has long been recognized that claw-free graphs are an interesting generalization of line graphs, sharing some of the same properties. For instance, Minty [16] showed in 1980 that there is a polynomial-time algorithm to find a stable set of maximum weight in a claw-free graph, generalizing the algorithm of Edmonds [9, 10] to find a maximum weight matching in a graph.
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												  Some Properties of Minimal Imperfect Graphs L Chinh TDISCRETE MATHEMATICS ELSEVIER Discrete Mathematics 160 (1996) 165 175 Some properties of minimal imperfect graphs l Chinh T. Hofing Department of Mathematical Sciences, Lakehead ~)TiversiO,, Thunder Bay, Ontario, Cana~kl P7B-5E1 Received 30 November 1993; revised 29 November 1994 Abstract The Even Pair Lemma, proved by Meyniel, states that no minimal imperfect graph contains a pair of vertices such that all chordless paths joining them have even lengths. This Lemma has proved to be very useful in the theory of perfect graphs. The Odd Pair Conjecture, with 'even' replaced by 'odd', is the natural analogue of the Even Pair Lemma. We prove a partial result for this conjecture, namely: no minimal imperfect graph G contains a three-pair, i.e. two nonadjacent vertices Ul, u2 such that all chordless paths of G joining ul to u2 contain precisely three edges. As a by-product, we obtain short proofs of two previously known theorems: the first one is a well-known theorem of Meyniel (a graph is perfect if each of its odd cycles with at least five vertices contains at least two chords), the second one is a theorem of Olariu (a graph is perfect if it contains no odd antihole, no Ps and no extended claw as induced subgraphst. 1. Introduction A graph G is said to be perfect if for each induced subgraph H of G, the chromatic number z(H) of H equals the number co(H) of vertices in a largest clique of H. For background results on perfect graphs, see [2, 10]. A graph is minimal imperJect if it is not perfect but all of its proper induced subgraphs are perfect.
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												  Research Topics in Graph Theory and Its ApplicationsResearch 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 .
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												  A Constructive Formalization of the Weak Perfect Graph TheoremA 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.