On the Clique Number of a Strongly Regular Graph
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Perfect Domination in Book Graph and Stacked Book Graph
International Journal of Mathematics Trends and Technology (IJMTT) – Volume 56 Issue 7 – April 2018 Perfect Domination in Book Graph and Stacked Book Graph Kavitha B N#1, Indrani Pramod Kelkar#2, Rajanna K R#3 #1Assistant Professor, Department of Mathematics, Sri Venkateshwara College of Engineering, Bangalore, India *2 Professor, Department of Mathematics, Acharya Institute of Technology, Bangalore, India #3 Professor, Department of Mathematics, Acharya Institute of Technology, Bangalore, India Abstract: In this paper we prove that the perfect domination number of book graph and stacked book graph are same as the domination number as the dominating set satisfies the condition for perfect domination. Keywords: Domination, Cartesian product graph, Perfect Domination, Book Graph, Stacked Book Graph. I. INTRODUCTION By a graph G = (V, E) we mean a finite, undirected graph with neither loops nor multiple edges. The order and size of G are denoted by p and q respectively. For graph theoretic terminology we refer to Chartrand and Lesnaik[3]. Graphs have various special patterns like path, cycle, star, complete graph, bipartite graph, complete bipartite graph, regular graph, strongly regular graph etc. For the definitions of all such graphs we refer to Harry [7]. The study of Cross product of graph was initiated by Imrich [12]. For structure and recognition of Cross Product of graph we refer to Imrich [11]. In literature, the concept of domination in graphs was introduced by Claude Berge in 1958 and Oystein Ore in [1962] by [14]. For review of domination and its related parameters we refer to Acharya et.al. [1979] and Haynes et.al. -
Strongly Regular Graphs
Chapter 4 Strongly Regular Graphs 4.1 Parameters and Properties Recall that a (simple, undirected) graph is regular if all of its vertices have the same degree. This is a strong property for a graph to have, and it can be recognized easily from the adjacency matrix, since it means that all row sums are equal, and that1 is an eigenvector. If a graphG of ordern is regular of degreek, it means that kn must be even, since this is twice the number of edges inG. Ifk�n− 1 and kn is even, then there does exist a graph of ordern that is regular of degreek (showing that this is true is an exercise worth thinking about). Regularity is a strong property for a graph to have, and it implies a kind of symmetry, but there are examples of regular graphs that are not particularly “symmetric”, such as the disjoint union of two cycles of different lengths, or the connected example below. Various properties of graphs that are stronger than regularity can be considered, one of the most interesting of which is strong regularity. Definition 4.1.1. A graphG of ordern is called strongly regular with parameters(n,k,λ,µ) if every vertex ofG has degreek; • ifu andv are adjacent vertices ofG, then the number of common neighbours ofu andv isλ (every • edge belongs toλ triangles); ifu andv are non-adjacent vertices ofG, then the number of common neighbours ofu andv isµ; • 1 k<n−1 (so the complete graph and the null graph ofn vertices are not considered to be • � strongly regular). -
Discrete Mathematics Lecture Notes Incomplete Preliminary Version
Discrete Mathematics Lecture Notes Incomplete Preliminary Version Instructor: L´aszl´oBabai Last revision: June 22, 2003 Last update: April 2, 2021 Copyright c 2003, 2021 by L´aszl´oBabai All rights reserved. Contents 1 Logic 1 1.1 Quantifier notation . 1 1.2 Problems . 1 2 Asymptotic Notation 5 2.1 Limit of sequence . 6 2.2 Asymptotic Equality and Inequality . 6 2.3 Little-oh notation . 9 2.4 Big-Oh, Omega, Theta notation (O, Ω, Θ) . 9 2.5 Prime Numbers . 11 2.6 Partitions . 11 2.7 Problems . 12 3 Convex Functions and Jensen's Inequality 15 4 Basic Number Theory 19 4.1 Introductory Problems: g.c.d., congruences, multiplicative inverse, Chinese Re- mainder Theorem, Fermat's Little Theorem . 19 4.2 Gcd, congruences . 24 4.3 Arithmetic Functions . 26 4.4 Prime Numbers . 30 4.5 Quadratic Residues . 33 4.6 Lattices and diophantine approximation . 34 iii iv CONTENTS 5 Counting 37 5.1 Binomial coefficients . 37 5.2 Recurrences, generating functions . 40 6 Graphs and Digraphs 43 6.1 Graph Theory Terminology . 43 6.1.1 Planarity . 52 6.1.2 Ramsey Theory . 56 6.2 Digraph Terminology . 57 6.2.1 Paradoxical tournaments, quadratic residues . 61 7 Finite Probability Spaces 63 7.1 Finite probability space, events . 63 7.2 Conditional probability, probability of causes . 65 7.3 Independence, positive and negative correlation of a pair of events . 67 7.4 Independence of multiple events . 68 7.5 Random graphs: The Erd}os{R´enyi model . 71 7.6 Asymptotic evaluation of sequences . -
Distance-Regular Graphs with Strongly Regular Subconstituents
P1: KCU/JVE P2: MVG/SRK QC: MVG Journal of Algebraic Combinatorics KL434-03-Kasikova April 24, 1997 13:11 Journal of Algebraic Combinatorics 6 (1997), 247–252 c 1997 Kluwer Academic Publishers. Manufactured in The Netherlands. Distance-Regular Graphs with Strongly Regular Subconstituents ANNA KASIKOVA Department of Mathematics, Kansas State University, Manhattan, KS 66506 Received December 3, 1993; Revised October 5, 1995 Abstract. In [3] Cameron et al. classified strongly regular graphs with strongly regular subconstituents. Here we prove a theorem which implies that distance-regular graphs with strongly regular subconstituents are precisely the Taylor graphs and graphs with a1 0 and ai 0,1 for i 2,...,d. = ∈{ } = Keywords: distance-regular graph, strongly regular graph, association scheme 1. Introduction Let 0 be a connected graph without loops and multiple edges, d d(0) be the diameter = of 0, V (0) be the set of vertices and v V(0) .Fori 1,...,d let 0i (u) be the set of =| | = vertices at distance i from u (‘subconstituent’) and ki 0i(u). We use the same notation =| | 0i (u) for the subgraph of 0 induced by the vertices in 0i (u). Distance between vertices u and v in 0 will be denoted by ∂(u,v). Recall that a connected graph is said to be distance regular if it is regular and for each i = 1,...,dthe numbers ai 0i(u) 01(v) , bi 0i 1(u) 01(v) , ci 0i 1(u) 01(v) =| ∩ | =| + ∩ | =| ∩ | are independent of the particular choice of u and v with v 0i (u). It is well known that in l ∈ this case all numbers p 0i(u) 0j(v) do not depend on the choice of the pair u, v i, j =| ∩ | with v 0l (u). -
Octonion Multiplication and Heawood's
CONFLUENTES MATHEMATICI Bruno SÉVENNEC Octonion multiplication and Heawood’s map Tome 5, no 2 (2013), p. 71-76. <http://cml.cedram.org/item?id=CML_2013__5_2_71_0> © Les auteurs et Confluentes Mathematici, 2013. Tous droits réservés. L’accès aux articles de la revue « Confluentes Mathematici » (http://cml.cedram.org/), implique l’accord avec les condi- tions générales d’utilisation (http://cml.cedram.org/legal/). Toute reproduction en tout ou partie de cet article sous quelque forme que ce soit pour tout usage autre que l’utilisation á fin strictement personnelle du copiste est constitutive d’une infrac- tion pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright. cedram Article mis en ligne dans le cadre du Centre de diffusion des revues académiques de mathématiques http://www.cedram.org/ Confluentes Math. 5, 2 (2013) 71-76 OCTONION MULTIPLICATION AND HEAWOOD’S MAP BRUNO SÉVENNEC Abstract. In this note, the octonion multiplication table is recovered from a regular tesse- lation of the equilateral two timensional torus by seven hexagons, also known as Heawood’s map. Almost any article or book dealing with Cayley-Graves algebra O of octonions (to be recalled shortly) has a picture like the following Figure 0.1 representing the so-called ‘Fano plane’, which will be denoted by Π, together with some cyclic ordering on each of its ‘lines’. The Fano plane is a set of seven points, in which seven three-point subsets called ‘lines’ are specified, such that any two points are contained in a unique line, and any two lines intersect in a unique point, giving a so-called (combinatorial) projective plane [8,7]. -
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. -
Strongly Regular Graphs
MT5821 Advanced Combinatorics 1 Strongly regular graphs We introduce the subject of strongly regular graphs, and the techniques used to study them, with two famous examples. 1.1 The Friendship Theorem This theorem was proved by Erdos,˝ Renyi´ and Sos´ in the 1960s. We assume that friendship is an irreflexive and symmetric relation on a set of individuals: that is, nobody is his or her own friend, and if A is B’s friend then B is A’s friend. (It may be doubtful if these assumptions are valid in the age of social media – but we are doing mathematics, not sociology.) Theorem 1.1 In a finite society with the property that any two individuals have a unique common friend, there must be somebody who is everybody else’s friend. In other words, the configuration of friendships (where each individual is rep- resented by a dot, and friends are joined by a line) is as shown in the figure below: PP · PP · u P · u · " " BB " u · " B " " B · "B" bb T b ub u · T b T b b · T b T · T u PP T PP u P u u 1 1.2 Graphs The mathematical model for a structure of the type described in the Friendship Theorem is a graph. A simple graph (one “without loops or multiple edges”) can be regarded as a set carrying an irreflexive and symmetric binary relation. The points of the set are called the vertices of the graph, and a pair of points which are related is called an edge. -
Values of Lambda and Mu for Which There Are Only Finitely Many Feasible
Electronic Journal of Linear Algebra ISSN 1081-3810 A publication of the International Linear Algebra Society Volume 10, pp. 232-239, October 2003 ELA STRONGLY REGULAR GRAPHS: VALUES OF λ AND µ FOR WHICH THERE ARE ONLY FINITELY MANY FEASIBLE (v, k, λ, µ)∗ RANDALL J. ELZINGA† Dedicated to the memory of Prof. Dom de Caen Abstract. Given λ and µ, it is shown that, unless one of the relations (λ − µ)2 =4µ, λ − µ = −2, (λ − µ)2 +2(λ − µ)=4µ is satisfied, there are only finitely many parameter sets (v, k, λ, µ)for which a strongly regular graph with these parameters could exist. This result is used to prove as special cases a number of results which have appeared in previous literature. Key words. Strongly Regular Graph, Adjacency Matrix, Feasible Parameter Set. AMS subject classifications. 05C50, 05E30. 1. Properties ofStrongly Regular Graphs. In this section we present some well known results needed in Section 2. The results can be found in [11, ch.21] or [8, ch.10]. A strongly regular graph with parameters (v, k, λ, µ), denoted SRG(v, k, λ, µ), is a k-regular graph on v vertices such that for every pair of adjacent vertices there are λ vertices adjacent to both, and for every pair of non-adjacent vertices there are µ vertices adjacent to both. We assume throughout that a strongly regular graph G is connected and that G is not a complete graph. Consequently, k is an eigenvalue of the adjacency matrix of G with multiplicity 1 and (1.1) v − 1 >k≥ µ>0and k − 1 >λ≥ 0. -
PDF of the Phd Thesis
Durham E-Theses Topics in Graph Theory: Extremal Intersecting Systems, Perfect Graphs, and Bireexive Graphs THOMAS, DANIEL,JAMES,RHYS How to cite: THOMAS, DANIEL,JAMES,RHYS (2020) Topics in Graph Theory: Extremal Intersecting Systems, Perfect Graphs, and Bireexive Graphs , Durham theses, Durham University. Available at Durham E-Theses Online: http://etheses.dur.ac.uk/13671/ Use policy The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in Durham E-Theses • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Please consult the full Durham E-Theses policy for further details. Academic Support Oce, Durham University, University Oce, Old Elvet, Durham DH1 3HP e-mail: [email protected] Tel: +44 0191 334 6107 http://etheses.dur.ac.uk 2 Topics in Graph Theory: Extremal Intersecting Systems, Perfect Graphs, and Bireflexive Graphs Daniel Thomas A Thesis presented for the degree of Doctor of Philosophy Department of Computer Science Durham University United Kingdom June 2020 Topics in Graph Theory: Extremal Intersecting Systems, Perfect Graphs, and Bireflexive Graphs Daniel Thomas Submitted for the degree of Doctor of Philosophy June 2020 Abstract: In this thesis we investigate three different aspects of graph theory. Firstly, we consider interesecting systems of independent sets in graphs, and the extension of the classical theorem of Erdős, Ko and Rado to graphs. -
Spreads in Strongly Regular Graphs Haemers, W.H.; Touchev, V.D
Tilburg University Spreads in strongly regular graphs Haemers, W.H.; Touchev, V.D. Published in: Designs Codes and Cryptography Publication date: 1996 Link to publication in Tilburg University Research Portal Citation for published version (APA): Haemers, W. H., & Touchev, V. D. (1996). Spreads in strongly regular graphs. Designs Codes and Cryptography, 8, 145-157. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 24. sep. 2021 Designs, Codes and Cryptography, 8, 145-157 (1996) 1996 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Spreads in Strongly Regular Graphs WILLEM H. HAEMERS Tilburg University, Tilburg, The Netherlands VLADIMIR D. TONCHEV* Michigan Technological University, Houghton, M149931, USA Communicated by: D. Jungnickel Received March 24, 1995; Accepted November 8, 1995 Dedicated to Hanfried Lenz on the occasion of his 80th birthday Abstract. A spread of a strongly regular graph is a partition of the vertex set into cliques that meet Delsarte's bound (also called Hoffman's bound). -
An Introduction to Algebraic Graph Theory
An Introduction to Algebraic Graph Theory Cesar O. Aguilar Department of Mathematics State University of New York at Geneseo Last Update: March 25, 2021 Contents 1 Graphs 1 1.1 What is a graph? ......................... 1 1.1.1 Exercises .......................... 3 1.2 The rudiments of graph theory .................. 4 1.2.1 Exercises .......................... 10 1.3 Permutations ........................... 13 1.3.1 Exercises .......................... 19 1.4 Graph isomorphisms ....................... 21 1.4.1 Exercises .......................... 30 1.5 Special graphs and graph operations .............. 32 1.5.1 Exercises .......................... 37 1.6 Trees ................................ 41 1.6.1 Exercises .......................... 45 2 The Adjacency Matrix 47 2.1 The Adjacency Matrix ...................... 48 2.1.1 Exercises .......................... 53 2.2 The coefficients and roots of a polynomial ........... 55 2.2.1 Exercises .......................... 62 2.3 The characteristic polynomial and spectrum of a graph .... 63 2.3.1 Exercises .......................... 70 2.4 Cospectral graphs ......................... 73 2.4.1 Exercises .......................... 84 3 2.5 Bipartite Graphs ......................... 84 3 Graph Colorings 89 3.1 The basics ............................. 89 3.2 Bounds on the chromatic number ................ 91 3.3 The Chromatic Polynomial .................... 98 3.3.1 Exercises ..........................108 4 Laplacian Matrices 111 4.1 The Laplacian and Signless Laplacian Matrices .........111 4.1.1 -
A Paley-Like Graph in Characteristic Two Andrew Thomason
Journal of Combinatorics Volume 7, Number 2–3, 365–374, 2016 A Paley-like graph in characteristic two Andrew Thomason To Adrian Bondy on his seventieth birthday The Paley graph is a well-known self-complementary pseudo-ran- dom graph, defined over a finite field of odd order. We describe an attempt at an analogous construction using fields of even order. Some properties of the graph are noted, such as the existence of a Hamiltonian decomposition. 1. Introduction The well-known Paley graph is a pseudo-random graph whose vertex set is the finite field Fq = GF (q)oforderq ≡ 1 (mod 4). The pair of vertices a, b is joined by an edge if a − b is a square in Fq.Since−1isasquarethe graph is well defined. It follows from elementary properties of the quadratic character that the Paley graph is vertex-transitive, self-complementary, and each edge is in (q − 5)/4 triangles. A graph of order q in which every edge is in (q − 5)/4 triangles and whose complement has the same property is sometimes called a conference graph. The Paley graph is thus ipso facto a pseudo-random graph, as explained in detail in [12],andinasomewhatless quantitative fashion in Chung, Graham and Wilson in [3]. The other odd prime powers, namely those where q ≡ 3 (mod 4), cannot be used to construct Paley graphs since −1 is not a square. However this very property allows the construction of a tournament, or oriented complete graph, on the vertex Fq by inserting an edge oriented from a to b if a − b is a square.