Cayley Graphs
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Distance Regular Graphs Simply Explained
Distance Regular Graphs Simply Explained Alexander Coulter Paauwe April 20, 2007 Copyright c 2007 Alexander Coulter Paauwe. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled “GNU Free Documentation License”. Adjacency Algebra and Distance Regular Graphs: In this paper, we will discover some interesting properties of a particular kind of graph, called distance regular graphs, using algebraic graph theory. We will begin by developing some definitions that will allow us to explore the relationship between powers of the adjacency matrix of a graph and its eigenvalues, and ultimately give us particular insight into the eigenvalues of distance regular graphs. Basis for the Polynomial of an Adjacency Matrix We all know that for a given graph G, the powers of its adjacency matrix, A, have as their entries the number of n-walks between two vertices. More succinctly, we know that [An]i,j is the number of n-walks between the two vertices vi and vj. We also know that for a graph with diameter d, the first d powers of A are all linearly independent. Now, let us think of the set of all polynomials of the adjacency matrix, A, for a graph G. We can think of any member of the set as a linear combination of powers of A. -
Connectivities and Diameters of Circulant Graphs
CONNECTIVITIES AND DIAMETERS OF CIRCULANT GRAPHS Paul Theo Meijer B.Sc. (Honors), Simon Fraser University, 1987 THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE (MATHEMATICS) in the Department of Mathematics and Statistics @ Paul Theo Meijer 1991 SIMON FRASER UNIVERSITY December 1991 All rights reserved. This work may not be reproduced in whole or in part, by photocopy or other means, without permission of the author. Approval Name: Paul Theo Meijer Degree: Master of Science (Mathematics) Title of Thesis: Connectivities and Diameters of Circulant Graphs Examining Committee: Chairman: Dr. Alistair Lachlan Dr. grian Alspach, Professor ' Senior Supervisor Dr. Luis Goddyn, Assistant Professor - ph Aters, Associate Professor . Dr. Tom Brown, Professor External Examiner Date Approved: December 4 P 1991 PART IAL COPYH IGIiT L ICLNSI: . , I hereby grant to Sirnori Fraser- llr~ivorsitytho righl to lend my thesis, project or extended essay (tho title of which is shown below) to users of the Simon Frasor University Libr~ry,and to make part ial or single copies only for such users or in response to a request from the library of any other university, or other educational insfitution, on 'its own behalf or for one of its users. I further agree that percnission for multiple copying of this work for scholarly purposes may be granted by me or the Dean of Graduate Studies. It is understood that copying or publication of this work for financial gain shall not be allowed without my written permission. Title of Thesis/Project/Extended Essay (date) Abstract Let S = {al, az, . -
Constructing an Infinite Family of Cubic 1-Regular Graphs
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Europ. J. Combinatorics (2002) 23, 559–565 doi:10.1006/eujc.2002.0589 Available online at http://www.idealibrary.com on Constructing an Infinite Family of Cubic 1-Regular Graphs YQAN- UAN FENG† AND JIN HO KWAK A graph is 1-regular if its automorphism group acts regularly on the set of its arcs. Miller [J. Comb. Theory, B, 10 (1971), 163–182] constructed an infinite family of cubic 1-regular graphs of order 2p, where p ≥ 13 is a prime congruent to 1 modulo 3. Marusiˇ cˇ and Xu [J. Graph Theory, 25 (1997), 133– 138] found a relation between cubic 1-regular graphs and tetravalent half-transitive graphs with girth 3 and Alspach et al.[J. Aust. Math. Soc. A, 56 (1994), 391–402] constructed infinitely many tetravalent half-transitive graphs with girth 3. Using these results, Miller’s construction can be generalized to an infinite family of cubic 1-regular graphs of order 2n, where n ≥ 13 is odd such that 3 divides ϕ(n), the Euler function of n. In this paper, we construct an infinite family of cubic 1-regular graphs with order 8(k2 + k + 1)(k ≥ 2) as cyclic-coverings of the three-dimensional Hypercube. c 2002 Elsevier Science Ltd. All rights reserved. 1. INTRODUCTION In this paper we consider an undirected finite connected graph without loops or multiple edges. For a graph G, we denote by V (G), E(G), A(G) and Aut(G) the vertex set, the edge set, the arc set and the automorphism group, respectively. -
Compression of Vertex Transitive Graphs
Compression of Vertex Transitive Graphs Bruce Litow, ¤ Narsingh Deo, y and Aurel Cami y Abstract We consider the lossless compression of vertex transitive graphs. An undirected graph G = (V; E) is called vertex transitive if for every pair of vertices x; y 2 V , there is an automorphism σ of G, such that σ(x) = y. A result due to Sabidussi, guarantees that for every vertex transitive graph G there exists a graph mG (m is a positive integer) which is a Cayley graph. We propose as the compressed form of G a ¯nite presentation (X; R) , where (X; R) presents the group ¡ corresponding to such a Cayley graph mG. On a conjecture, we demonstrate that for a large subfamily of vertex transitive graphs, the original graph G can be completely reconstructed from its compressed representation. 1 Introduction The complex networks that describe systems in nature and society are typ- ically very large, often with hundreds of thousands of vertices. Examples of such networks include the World Wide Web, the Internet, semantic net- works, social networks, energy transportation networks, the global economy etc., (see e.g., [16]). Given a graph that represents such a large network, an important problem is its lossless compression, i.e., obtaining a smaller size representation of the graph, such that the original graph can be fully restored from its compressed form. We note that, in general, graphs are incompressible, i.e., the vast majority of graphs with n vertices require (n2) bits in any representation. This can be seen by a simple counting argument. There are 2n¢(n¡1)=2 labelled, undirected graphs, and at least 2n¢(n¡1)=2=n! unlabelled, undirected graphs. -
Group Developed Weighing Matrices∗
AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 55 (2013), Pages 205–233 Group developed weighing matrices∗ K. T. Arasu Department of Mathematics & Statistics Wright State University 3640 Colonel Glenn Highway, Dayton, OH 45435 U.S.A. Jeffrey R. Hollon Department of Mathematics Sinclair Community College 444 W 3rd Street, Dayton, OH 45402 U.S.A. Abstract A weighing matrix is a square matrix whose entries are 1, 0 or −1,such that the matrix times its transpose is some integer multiple of the identity matrix. We examine the case where these matrices are said to be devel- oped by an abelian group. Through a combination of extending previous results and by giving explicit constructions we will answer the question of existence for 318 such matrices of order and weight both below 100. At the end, we are left with 98 open cases out of a possible 1,022. Further, some of the new results provide insight into the existence of matrices with larger weights and orders. 1 Introduction 1.1 Group Developed Weighing Matrices A weighing matrix W = W (n, k) is a square matrix, of order n, whose entries are in t the set wi,j ∈{−1, 0, +1}. This matrix satisfies WW = kIn, where t denotes the matrix transpose, k is a positive integer known as the weight, and In is the identity matrix of size n. Definition 1.1. Let G be a group of order n.Ann×n matrix A =(agh) indexed by the elements of the group G (such that g and h belong to G)issaidtobeG-developed if it satisfies the condition agh = ag+k,h+k for all g, h, k ∈ G. -
Maximizing the Order of a Regular Graph of Given Valency and Second Eigenvalue∗
SIAM J. DISCRETE MATH. c 2016 Society for Industrial and Applied Mathematics Vol. 30, No. 3, pp. 1509–1525 MAXIMIZING THE ORDER OF A REGULAR GRAPH OF GIVEN VALENCY AND SECOND EIGENVALUE∗ SEBASTIAN M. CIOABA˘ †,JACKH.KOOLEN‡, HIROSHI NOZAKI§, AND JASON R. VERMETTE¶ Abstract. From Alon√ and Boppana, and Serre, we know that for any given integer k ≥ 3 and real number λ<2 k − 1, there are only finitely many k-regular graphs whose second largest eigenvalue is at most λ. In this paper, we investigate the largest number of vertices of such graphs. Key words. second eigenvalue, regular graph, expander AMS subject classifications. 05C50, 05E99, 68R10, 90C05, 90C35 DOI. 10.1137/15M1030935 1. Introduction. For a k-regular graph G on n vertices, we denote by λ1(G)= k>λ2(G) ≥ ··· ≥ λn(G)=λmin(G) the eigenvalues of the adjacency matrix of G. For a general reference on the eigenvalues of graphs, see [8, 17]. The second eigenvalue of a regular graph is a parameter of interest in the study of graph connectivity and expanders (see [1, 8, 23], for example). In this paper, we investigate the maximum order v(k, λ) of a connected k-regular graph whose second largest eigenvalue is at most some given parameter λ. As a consequence of work of Alon and Boppana and of Serre√ [1, 11, 15, 23, 24, 27, 30, 34, 35, 40], we know that v(k, λ) is finite for λ<2 k − 1. The recent result of Marcus, Spielman, and Srivastava [28] showing the existence of infinite families of√ Ramanujan graphs of any degree at least 3 implies that v(k, λ) is infinite for λ ≥ 2 k − 1. -
Pretty Theorems on Vertex Transitive Graphs
Pretty Theorems on Vertex Transitive Graphs Growth For a graph G a vertex x and a nonnegative integer n we let B(x; n) denote the ball of radius n around x (i.e. the set u V (G): dist(u; v) n . If G is a vertex transitive graph then f 2 ≤ g B(x; n) = B(y; n) for any two vertices x; y and we denote this number by f(n). j j j j Example: If G = Cayley(Z2; (0; 1); ( 1; 0) ) then f(n) = (n + 1)2 + n2. f ± ± g 0 f(3) = B(0, 3) = (1 + 3 + 5 + 7) + (5 + 3 + 1) = 42 + 32 | | Our first result shows a property of the function f which is a relative of log concavity. Theorem 1 (Gromov) If G is vertex transitive then f(n)f(5n) f(4n)2 ≤ Proof: Choose a maximal set Y of vertices in B(u; 3n) which are pairwise distance 2n + 1 ≥ and set y = Y . The balls of radius n around these points are disjoint and are contained in j j B(u; 4n) which gives us yf(n) f(4n). On the other hand, the balls of radius 2n around ≤ the points in Y cover B(u; 3n), so the balls of radius 4n around these points cover B(u; 5n), giving us yf(4n) f(5n). Combining our two inequalities yields the desired bound. ≥ Isoperimetric Properties Here is a classical problem: Given a small loop of string in the plane, arrange it to maximize the enclosed area. -
Algebraic Graph Theory: Automorphism Groups and Cayley Graphs
Algebraic Graph Theory: Automorphism Groups and Cayley graphs Glenna Toomey April 2014 1 Introduction An algebraic approach to graph theory can be useful in numerous ways. There is a relatively natural intersection between the fields of algebra and graph theory, specifically between group theory and graphs. Perhaps the most natural connection between group theory and graph theory lies in finding the automorphism group of a given graph. However, by studying the opposite connection, that is, finding a graph of a given group, we can define an extremely important family of vertex-transitive graphs. This paper explores the structure of these graphs and the ways in which we can use groups to explore their properties. 2 Algebraic Graph Theory: The Basics First, let us determine some terminology and examine a few basic elements of graphs. A graph, Γ, is simply a nonempty set of vertices, which we will denote V (Γ), and a set of edges, E(Γ), which consists of two-element subsets of V (Γ). If fu; vg 2 E(Γ), then we say that u and v are adjacent vertices. It is often helpful to view these graphs pictorially, letting the vertices in V (Γ) be nodes and the edges in E(Γ) be lines connecting these nodes. A digraph, D is a nonempty set of vertices, V (D) together with a set of ordered pairs, E(D) of distinct elements from V (D). Thus, given two vertices, u, v, in a digraph, u may be adjacent to v, but v is not necessarily adjacent to u. This relation is represented by arcs instead of basic edges. -
Conformally Homogeneous Surfaces
e Bull. London Math. Soc. 43 (2011) 57–62 C 2010 London Mathematical Society doi:10.1112/blms/bdq074 Exotic quasi-conformally homogeneous surfaces Petra Bonfert-Taylor, Richard D. Canary, Juan Souto and Edward C. Taylor Abstract We construct uniformly quasi-conformally homogeneous Riemann surfaces that are not quasi- conformal deformations of regular covers of closed orbifolds. 1. Introduction Recall that a hyperbolic manifold M is K- quasi-conformally homogeneous if for all x, y ∈ M, there is a K-quasi-conformal map f : M → M with f(x)=y. It is said to be uniformly quasi- conformally homogeneous if it is K-quasi-conformally homogeneous for some K. We consider only complete and oriented hyperbolic manifolds. In dimensions 3 and above, every uniformly quasi-conformally homogeneous hyperbolic manifold is isometric to the regular cover of a closed hyperbolic orbifold (see [1]). The situation is more complicated in dimension 2. It remains true that any hyperbolic surface that is a regular cover of a closed hyperbolic orbifold is uniformly quasi-conformally homogeneous. If S is a non-compact regular cover of a closed hyperbolic 2-orbifold, then any quasi-conformal deformation of S remains uniformly quasi-conformally homogeneous. However, typically a quasi-conformal deformation of S is not itself a regular cover of a closed hyperbolic 2-orbifold (see [1, Lemma 5.1].) It is thus natural to ask if every uniformly quasi-conformally homogeneous hyperbolic surface is a quasi-conformal deformation of a regular cover of a closed hyperbolic orbifold. The goal of this note is to answer this question in the negative. -
Operating Manual R&S NRP-Z22
Operating Manual Average Power Sensor R&S NRP-Z22 1137.7506.02 R&S NRP-Z23 1137.8002.02 R&S NRP-Z24 1137.8502.02 Test and Measurement 1137.7870.12-07- 1 Dear Customer, R&S® is a registered trademark of Rohde & Schwarz GmbH & Co. KG Trade names are trademarks of the owners. 1137.7870.12-07- 2 Basic Safety Instructions Always read through and comply with the following safety instructions! All plants and locations of the Rohde & Schwarz group of companies make every effort to keep the safety standards of our products up to date and to offer our customers the highest possible degree of safety. Our products and the auxiliary equipment they require are designed, built and tested in accordance with the safety standards that apply in each case. Compliance with these standards is continuously monitored by our quality assurance system. The product described here has been designed, built and tested in accordance with the EC Certificate of Conformity and has left the manufacturer’s plant in a condition fully complying with safety standards. To maintain this condition and to ensure safe operation, you must observe all instructions and warnings provided in this manual. If you have any questions regarding these safety instructions, the Rohde & Schwarz group of companies will be happy to answer them. Furthermore, it is your responsibility to use the product in an appropriate manner. This product is designed for use solely in industrial and laboratory environments or, if expressly permitted, also in the field and must not be used in any way that may cause personal injury or property damage. -
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. -
Z1 Z2 Z4 Z5 Z6 Z7 Z3 Z8
Illinois State Police Division of Criminal Investigation JO DAVIESS STEPHENSON WINNEBAGO B McHENRY LAKE DIVISION OF CRIMINAL INVESTIGATION - O O Colonel Mark R. Peyton Pecatonica 16 N E Chicago Lieutenant Colonel Chris Trame CARROLL OGLE Chief of Staff DE KALB KANE Elgin COOK Lieutenant Jonathan Edwards NORTH 2 Z1DU PAGE C WHITESIDE LEE 15 1 Z2 NORTH COMMAND - Sterling KENDALL WILL Major Michael Witt LA SALLE 5 Zone 1 - (Districts Chicago and 2) East Moline HENRY BUREAU Captain Matthew Gainer 7 17 Joliet ROCK ISLAND GRUNDY Zone 2 - (Districts 1, 7, 16) LaSalle MERCER Captain Christopher Endress KANKAKEE PUTNAM Z3 Zone 3 - (Districts 5, 17, 21) KNOX STARK Captain Richard Wilk H MARSHALL LIVINGSTON E WARREN Statewide Gaming Command IROQUOIS N PEORIA 6 Captain Sean Brannon D WOODFORD E Pontiac Ashkum CENTRAL R 8 Metamora S 21 O McLEAN N FULTON CENTRAL COMMAND - McDONOUGH HANCOCK TAZEWELL Captain Calvin Brown, Interim Macomb FORD VERMILION Zone 4 - (Districts 8, 9, 14, 20) 14 MASON CHAMPAIGN Captain Don Payton LOGAN DE WITT SCHUYLER Zone 5 - (Districts 6, 10) PIATT ADAMS Captain Jason Henderson MENARD Investigative Support Command CASS MACON Pesotum BROWN Captain Aaron Fullington Z4 10 SANGAMON Medicaid Fraud Control Bureau MORGAN DOUGLAS EDGAR PIKE 9 Z5 Captain William Langheim Pittsfield SCOTT MOULTRIE Springfield 20 CHRISTIAN COLES SHELBY GREENE MACOUPIN SOUTH COMMAND - CLARK Major William Sons C CUMBERLAND A MONTGOMERY L Zone 6 - (Districts 11, 18) H Litchfield 18 O Lieutenant Abigail Keller, Interim JERSEY FAYETTE EFFINGHAM JASPER U Zone 7 - (Districts 13, 22) N Effingham 12 CRAWFORD Z6 BOND Captain Nicholas Dill MADISON Zone 8 - (Districts 12, 19) CLAY Collinsville RICHLAND LAWRENCE Captain Ryan Shoemaker MARION 11 Special Operations Command ST.