Colourings and Graph Decompositions
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On Treewidth and Graph Minors
On Treewidth and Graph Minors Daniel John Harvey Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy February 2014 Department of Mathematics and Statistics The University of Melbourne Produced on archival quality paper ii Abstract Both treewidth and the Hadwiger number are key graph parameters in structural and al- gorithmic graph theory, especially in the theory of graph minors. For example, treewidth demarcates the two major cases of the Robertson and Seymour proof of Wagner's Con- jecture. Also, the Hadwiger number is the key measure of the structural complexity of a graph. In this thesis, we shall investigate these parameters on some interesting classes of graphs. The treewidth of a graph defines, in some sense, how \tree-like" the graph is. Treewidth is a key parameter in the algorithmic field of fixed-parameter tractability. In particular, on classes of bounded treewidth, certain NP-Hard problems can be solved in polynomial time. In structural graph theory, treewidth is of key interest due to its part in the stronger form of Robertson and Seymour's Graph Minor Structure Theorem. A key fact is that the treewidth of a graph is tied to the size of its largest grid minor. In fact, treewidth is tied to a large number of other graph structural parameters, which this thesis thoroughly investigates. In doing so, some of the tying functions between these results are improved. This thesis also determines exactly the treewidth of the line graph of a complete graph. This is a critical example in a recent paper of Marx, and improves on a recent result by Grohe and Marx. -
Average Degree Conditions Forcing a Minor∗
Average degree conditions forcing a minor∗ Daniel J. Harvey David R. Wood School of Mathematical Sciences Monash University Melbourne, Australia [email protected], [email protected] Submitted: Jun 11, 2015; Accepted: Feb 22, 2016; Published: Mar 4, 2016 Mathematics Subject Classifications: 05C83 Abstract Mader first proved that high average degree forces a given graph as a minor. Often motivated by Hadwiger's Conjecture, much research has focused on the av- erage degree required to force a complete graph as a minor. Subsequently, various authors have considered the average degree required to force an arbitrary graph H as a minor. Here, we strengthen (under certain conditions) a recent result by Reed and Wood, giving better bounds on the average degree required to force an H-minor when H is a sparse graph with many high degree vertices. This solves an open problem of Reed and Wood, and also generalises (to within a constant factor) known results when H is an unbalanced complete bipartite graph. 1 Introduction Mader [13, 14] first proved that high average degree forces a given graph as a minor1. In particular, Mader [13, 14] proved that the following function is well-defined, where d(G) denotes the average degree of a graph G: f(H) := inffD 2 R : every graph G with d(G) > D contains an H-minorg: Often motivated by Hadwiger's Conjecture (see [18]), much research has focused on f(Kt) where Kt is the complete graph on t vertices. For 3 6 t 6 9, exact bounds on the number of edges due to Mader [14], Jørgensen [6], and Song and Thomas [19] implyp that f(Kt) = 2t−4. -
Helly Property and Satisfiability of Boolean Formulas Defined on Set
Helly Property and Satisfiability of Boolean Formulas Defined on Set Systems Victor Chepoi Nadia Creignou LIF (CNRS, UMR 6166) LIF (CNRS, UMR 6166) Universit´ede la M´editerran´ee Universit´ede la M´editerran´ee 13288 Marseille cedex 9, France 13288 Marseille cedex 9, France Miki Hermann Gernot Salzer LIX (CNRS, UMR 7161) Technische Universit¨atWien Ecole´ Polytechnique Favoritenstraße 9-11 91128 Palaiseau, France 1040 Wien, Austria March 7, 2008 Abstract We study the problem of satisfiability of Boolean formulas ' in conjunctive normal form whose literals have the form v 2 S and express the membership of values to sets S of a given set system S. We establish the following dichotomy result. We show that checking the satisfiability of such formulas (called S-formulas) with three or more literals per clause is NP-complete except the trivial case when the intersection of all sets in S is nonempty. On the other hand, the satisfiability of S-formulas ' containing at most two literals per clause is decidable in polynomial time if S satisfies the Helly property, and is NP-complete otherwise (in the first case, we present an O(j'j · jSj · jDj)-time algorithm for deciding if ' is satisfiable). Deciding whether a given set family S satisfies the Helly property can be done in polynomial time. We also overview several well-known examples of Helly families and discuss the consequences of our result to such set systems and its relationship with the previous work on the satisfiability of signed formulas in multiple-valued logic. 1 Introduction The satisfiability of Boolean formulas in conjunctive normal form (SAT problem) is a fundamental problem in theoretical computer science and discrete mathematics. -
On the Wiener Polarity Index of Lattice Networks
RESEARCH ARTICLE On the Wiener Polarity Index of Lattice Networks Lin Chen1, Tao Li2*, Jinfeng Liu1, Yongtang Shi1, Hua Wang3 1 Center for Combinatorics and LPMC-TJKLC, Nankai University, Tianjin, China, 2 College of Computer and Control Engineering, Nankai University, Tianjin 300071, China, 3 Department of Mathematical Sciences Georgia Southern University, Statesboro, GA 30460-8093, United States of America * [email protected] a11111 Abstract Network structures are everywhere, including but not limited to applications in biological, physical and social sciences, information technology, and optimization. Network robustness is of crucial importance in all such applications. Research on this topic relies on finding a suitable measure and use this measure to quantify network robustness. A number of dis- OPEN ACCESS tance-based graph invariants, also known as topological indices, have recently been incor- Citation: Chen L, Li T, Liu J, Shi Y, Wang H (2016) porated as descriptors of complex networks. Among them the Wiener type indices are the On the Wiener Polarity Index of Lattice Networks. most well known and commonly used such descriptors. As one of the fundamental variants PLoS ONE 11(12): e0167075. doi:10.1371/journal. of the original Wiener index, the Wiener polarity index has been introduced for a long time pone.0167075 and known to be related to the cluster coefficient of networks. In this paper, we consider the Editor: Cheng-Yi Xia, Tianjin University of value of the Wiener polarity index of lattice networks, a common network structure known Technology, CHINA for its simplicity and symmetric structure. We first present a simple general formula for com- Received: August 25, 2016 puting the Wiener polarity index of any graph. -
The Hadwiger Number, Chordal Graphs and Ab-Perfection Arxiv
The Hadwiger number, chordal graphs and ab-perfection∗ Christian Rubio-Montiel [email protected] Instituto de Matem´aticas, Universidad Nacional Aut´onomade M´exico, 04510, Mexico City, Mexico Department of Algebra, Comenius University, 84248, Bratislava, Slovakia October 2, 2018 Abstract A graph is chordal if every induced cycle has three vertices. The Hadwiger number is the order of the largest complete minor of a graph. We characterize the chordal graphs in terms of the Hadwiger number and we also characterize the families of graphs such that for each induced subgraph H, (1) the Hadwiger number of H is equal to the maximum clique order of H, (2) the Hadwiger number of H is equal to the achromatic number of H, (3) the b-chromatic number is equal to the pseudoachromatic number, (4) the pseudo-b-chromatic number is equal to the pseudoachromatic number, (5) the arXiv:1701.08417v1 [math.CO] 29 Jan 2017 Hadwiger number of H is equal to the Grundy number of H, and (6) the b-chromatic number is equal to the pseudo-Grundy number. Keywords: Complete colorings, perfect graphs, forbidden graphs characterization. 2010 Mathematics Subject Classification: 05C17; 05C15; 05C83. ∗Research partially supported by CONACyT-Mexico, Grants 178395, 166306; PAPIIT-Mexico, Grant IN104915; a Postdoctoral fellowship of CONACyT-Mexico; and the National scholarship programme of the Slovak republic. 1 1 Introduction Let G be a finite graph. A k-coloring of G is a surjective function & that assigns a number from the set [k] := 1; : : : ; k to each vertex of G.A k-coloring & of G is called proper if any two adjacent verticesf haveg different colors, and & is called complete if for each pair of different colors i; j [k] there exists an edge xy E(G) such that x &−1(i) and y &−1(j). -
Solution-Graphs of Boolean Formulas and Isomorphism∗
Journal on Satisfiability, Boolean Modeling, and Computation 10 (2019) 37-58 Solution-Graphs of Boolean Formulas and Isomorphism∗ Patrick Scharpfeneckery [email protected] Jacobo Tor´an [email protected] University of Ulm Institute of Theoretical Computer Science Ulm, Germany Abstract The solution-graph of a Boolean formula on n variables is the subgraph of the hypercube Hn induced by the satisfying assignments of the formula. The structure of solution-graphs has been the object of much research in recent years since it is important for the performance of SAT-solving procedures based on local search. Several authors have studied connectivity problems in such graphs focusing on how the structure of the original formula might affect the complexity of the connectivity problems in the solution-graph. In this paper we study the complexity of the isomorphism problem of solution-graphs of Boolean formulas. We consider the classes of formulas that arise in the CSP-setting and investigate how the complexity of the isomorphism problem depends on the formula type. We observe that for general formulas the solution-graph isomorphism problem can be solved in exponential time while in the cases of 2CNF formulas, as well as for CPSS formulas, the problem is in the counting complexity class C=P, a subclass of PSPACE. We also prove a strong property on the structure of solution-graphs of Horn formulas showing that they are just unions of partial cubes. In addition, we give a PSPACE lower bound for the problem on general Boolean functions. We prove that for 2CNF, as well as for CPSS formulas the solution-graph isomorphism problem is hard for C=P under polynomial time many-one reductions, thus matching the given upper bound. -
A Convexity Lemma and Expansion Procedures for Bipartite Graphs
Europ. J. Combinatorics (1998) 19, 677±685 Article No. ej980229 A Convexity Lemma and Expansion Procedures for Bipartite Graphs WILFRIED IMRICH AND SANDI KLAVZARÏ ² A hierarchy of classes of graphs is proposed which includes hypercubes, acyclic cubical com- plexes, median graphs, almost-median graphs, semi-median graphs and partial cubes. Structural properties of these classes are derived and used for the characterization of these classes by expan- sion procedures, for a characterization of semi-median graphs by metrically de®ned relations on the edge set of a graph and for a characterization of median graphs by forbidden subgraphs. Moreover, a convexity lemma is proved and used to derive a simple algorithm of complexity O(mn) for recognizing median graphs. c 1998 Academic Press 1. INTRODUCTION Hamming graphs and related classes of graphs have been of continued interest for many years as can be seen from the list of references. As the subject unfolded, many interesting problems arose which have not been solved yet. In particular, it is still open whether the known algorithms for recognizing partial cubes or median graphs, which comprise an important subclass of partial cubes, are optimal. The best known algorithms for recognizing whether a graph G is a member of the class of partial cubes have complexity O(mn), where m and n denote, respectively, the numbersPC of edges and vertices of G, see [1, 13]. As the recognition process involves a coloring of the edges of G, which is a special case of sorting, one might be tempted to look for an algorithm of complexity O(m log n). -
Some Remarks on Even-Hole-Free Graphs
Some 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. -
Steps in the Representation of Concept Lattices and Median Graphs Alain Gély, Miguel Couceiro, Laurent Miclet, Amedeo Napoli
Steps in the Representation of Concept Lattices and Median Graphs Alain Gély, Miguel Couceiro, Laurent Miclet, Amedeo Napoli To cite this version: Alain Gély, Miguel Couceiro, Laurent Miclet, Amedeo Napoli. Steps in the Representation of Concept Lattices and Median Graphs. CLA 2020 - 15th International Conference on Concept Lattices and Their Applications, Sadok Ben Yahia; Francisco José Valverde Albacete; Martin Trnecka, Jun 2020, Tallinn, Estonia. pp.1-11. hal-02912312 HAL Id: hal-02912312 https://hal.inria.fr/hal-02912312 Submitted on 5 Aug 2020 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. Steps in the Representation of Concept Lattices and Median Graphs Alain Gély1, Miguel Couceiro2, Laurent Miclet3, and Amedeo Napoli2 1 Université de Lorraine, CNRS, LORIA, F-57000 Metz, France 2 Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France 3 Univ Rennes, CNRS, IRISA, Rue de Kérampont, 22300 Lannion, France {alain.gely,miguel.couceiro,amedeo.napoli}@loria.fr Abstract. Median semilattices have been shown to be useful for deal- ing with phylogenetic classication problems since they subsume me- dian graphs, distributive lattices as well as other tree based classica- tion structures. Median semilattices can be thought of as distributive _-semilattices that satisfy the following property (TRI): for every triple x; y; z, if x ^ y, y ^ z and x ^ z exist, then x ^ y ^ z also exists. -
Strongly Regular Graphs, Part 1 23.1 Introduction 23.2 Definitions
Spectral Graph Theory Lecture 23 Strongly Regular Graphs, part 1 Daniel A. Spielman November 18, 2009 23.1 Introduction In this and the next lecture, I will discuss strongly regular graphs. Strongly regular graphs are extremal in many ways. For example, their adjacency matrices have only three distinct eigenvalues. If you are going to understand spectral graph theory, you must have these in mind. In many ways, strongly-regular graphs can be thought of as the high-degree analogs of expander graphs. However, they are much easier to construct. Many times someone has asked me for a matrix of 0s and 1s that \looked random", and strongly regular graphs provided a resonable answer. Warning: I will use the letters that are standard when discussing strongly regular graphs. So λ and µ will not be eigenvalues in this lecture. 23.2 Definitions Formally, a graph G is strongly regular if 1. it is k-regular, for some integer k; 2. there exists an integer λ such that for every pair of vertices x and y that are neighbors in G, there are λ vertices z that are neighbors of both x and y; 3. there exists an integer µ such that for every pair of vertices x and y that are not neighbors in G, there are µ vertices z that are neighbors of both x and y. These conditions are very strong, and it might not be obvious that there are any non-trivial graphs that satisfy these conditions. Of course, the complete graph and disjoint unions of complete graphs satisfy these conditions. -
Principles of Graph Construction
PRINCIPLES OF GRAPH CONSTRUCTION Frank E Harrell Jr Department of Biostatistics Vanderbilt University School of Medicine [email protected] biostat.mc.vanderbilt.edu at Jump: StatGraphCourse Office of Biostatistics, FDA CDER [email protected] Blog: fharrell.com Twitter: @f2harrell DIA/FDA STATISTICS FORUM NORTH BETHESDA MD 2017-04-24 Copyright 2000-2017 FE Harrell All Rights Reserved Chapter 1 Principles of Graph Construction The ability to construct clear and informative graphs is related to the ability to understand the data. There are many excellent texts on statistical graphics (many of which are listed at the end of this chapter). Some of the best are Cleveland’s 1994 book The Elements of Graphing Data and the books by Tufte. The sugges- tions for making good statistical graphics outlined here are heavily influenced by Cleveland’s 1994 book. See also the excellent special issue of Journal of Computa- tional and Graphical Statistics vol. 22, March 2013. 2 CHAPTER 1. PRINCIPLES OF GRAPH CONSTRUCTION 3 1.1 Graphical Perception • Goals in communicating information: reader percep- tion of data values and of data patterns. Both accu- racy and speed are important. • Pattern perception is done by detection : recognition of geometry encoding physi- cal values assembly : grouping of detected symbol elements; discerning overall patterns in data estimation : assessment of relative magnitudes of two physical values • For estimation, many graphics involve discrimination, ranking, and estimation of ratios • Humans are not good at estimating differences with- out directly seeing differences (especially for steep curves) • Humans do not naturally order color hues • Only a limited number of hues can be discriminated in one graphic • Weber’s law: The probability of a human detecting a difference in two lines is related to the ratio of the two line lengths CHAPTER 1. -
Graphs of Acyclic Cubical Complexes
Europ . J . Combinatorics (1996) 17 , 113 – 120 Graphs of Acyclic Cubical Complexes H A N S -J U ¨ R G E N B A N D E L T A N D V I C T O R C H E P O I It is well known that chordal graphs are exactly the graphs of acyclic simplicial complexes . In this note we consider the analogous class of graphs associated with acyclic cubical complexes . These graphs can be characterized among median graphs by forbidden convex subgraphs . They possess a number of properties (in analogy to chordal graphs) not shared by all median graphs . In particular , we disprove a conjecture of Mulder on star contraction of median graphs . A restricted class of cubical complexes for which this conjecture would hold true is related to perfect graphs . ÷ 1996 Academic Press Limited 1 . C U B I C A L C O M P L E X E S A cubical complex is a finite set _ of (graphic) cubes of any dimensions which is closed under taking subcubes and non-empty intersections . If we replace each cube of _ by a solid cube , then we obtain the geometric realization of _ , called a cubical polyhedron ; for further information consult van de Vel’s book [18] . Vertices of a cubical complex _ are 0-dimensional cubes of _ . In the ( underlying ) graph G of the complex two vertices of _ are adjacent if they constitute a 1-dimensional cube . Particular cubical complexes arise from median graphs . In what follows we consider only finite graphs .