The Cost of Edge-Distinguishing of the Cartesian Product of Connected
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Pdf 143.41 K
ISSN: 1017-060X (Print) ISSN: 1735-8515 (Online) Bulletin of the Iranian Mathematical Society Vol. 43 (2017), No. 7, pp. 2281{2292 . Title: On the fixed number of graphs Author(s): I. Javaid, M. Murtaza, M. Asif and F. Iftikhar Published by the Iranian Mathematical Society http://bims.ims.ir Bull. Iranian Math. Soc. Vol. 43 (2017), No. 7, pp. 2281{2292 Online ISSN: 1735-8515 ON THE FIXED NUMBER OF GRAPHS I. JAVAID∗, M. MURTAZA, M. ASIF AND F. IFTIKHAR (Communicated by Ali Reza Ashrafi) Abstract. A set of vertices S of a graph G is called a fixing set of G, if only the trivial automorphism of G fixes every vertex in S. The fixing number of a graph is the smallest cardinality of a fixing set. The fixed number of a graph G is the minimum k, such that every k-set of vertices of G is a fixing set of G. A graph G is called a k-fixed graph, if its fixing number and fixed number are both k. In this paper, we study the fixed number of a graph and give a construction of a graph of higher fixed number from a graph of lower fixed number. We find the bound on k in terms of the diameter d of a distance-transitive k-fixed graph. Keywords: Fixing set, stabilizer, fixing number, fixed number. MSC(2010): Primary: 05C25; Secondary: 05C60. 1. Introduction Let G = (V (G);E(G)) be a connected graph of order n. The degree of a vertex v in G, denoted by degG(v), is the number of edges that are incident to v in G. -
Orbit Polynomial of Graphs Versus Polynomial with Integer Coefficients
S S symmetry Article Orbit Polynomial of Graphs versus Polynomial with Integer Coefficients Modjtaba Ghorbani 1,* , Maryam Jalali-Rad 1 and Matthias Dehmer 2,3,4 1 Department of Mathematics, Faculty of Science, Shahid Rajaee Teacher Training University, Tehran 16785-136, Iran; [email protected] 2 Department of Computer Science, Swiss Distance University of Applied Sciences, 3900 Brig, Switzerland; [email protected] 3 Department of Biomedical Computer Science and Mechatronics, UMIT, A-6060 Hall in Tyrol, Austria 4 College of Artficial Intelligence, Nankai University, Tianjin 300071, China * Correspondence: [email protected]; Tel.: +98-21-22970029 Abstract: Suppose ai indicates the number of orbits of size i in graph G. A new counting polynomial, i namely an orbit polynomial, is defined as OG(x) = ∑i aix . Its modified version is obtained by subtracting the orbit polynomial from 1. In the present paper, we studied the conditions under which an integer polynomial can arise as an orbit polynomial of a graph. Additionally, we surveyed graphs with a small number of orbits and characterized several classes of graphs with respect to their orbit polynomials. Keywords: orbit; group action; polynomial roots; orbit-stabilizer theorem 1. Introduction Citation: Ghorbani, M.; Jalali-Rad, M.; Dehmer, M. Orbit Polynomial of By having the orbits and their structures in a graph, we can infer many algebraic prop- Graphs versus Polynomial with erties about the automorphism group and thus about the similar vertices. For example, the Integer Coefficients. Symmetry 2021, length of orbits of a network gives provides important information about each individual 13, 710. https://doi.org/10.3390/ component in the network. -
ASYMMETRIC GRAPHS by P
ASYMMETRIC GRAPHS By P. ERDÖS and A . RÉNYI (Budapest), members Of the Academy Dedicated to T. GALLAI . at the occasion of his 50th birthday Introduction We consider in this paper only non-directed graphs without multiple edges and without loops . The number of vertices of a graph G will be called its order, and will be denoted by N(G). We shall call such a graph symmetric, if there exists a non-identical permutation of its vertices, which leaves the graph invariant. By other words a graph is called symmetric if the group of its automorphisms has degree greater than 1 . A graph which is not symmetric will be called asymmetric. The degree of symmetry of a symmetric graph is evidently measured by the degree of its group of automorphisms . The question which led us to the results contained in the present paper is the following : how can we measure the degree of asymmetry of an asymmetric graph? Evidently any asymmetric graph can be made symmetric by deleting certain of its edges and by adding certain new edges connecting its vertices . We shall call such a transformation of the graph its symmetrization . For each symmetrization of the graph let us take the sum of the number of deleted edges - say r - and the number of new edges - say s ; it is reasonable to define the degree of asymmetry A [G] of a graph G, as the minimum of r+s where the minimum is taken over all possible symmetrizations of the graph G. (In what follows if in order to make a graph symmetric we delete r of its edges and add s new edges, we shall say that we changed r + s edges.) Clearly the asymmetry of a symmetric graph is according to this definition equal to 0, while the asymmetry of any asymmetric graph is a positive integer . -
Contemporary Mathematics 352
CONTEMPORARY MATHEMATICS 352 Graph Colorings Marek Kubale Editor http://dx.doi.org/10.1090/conm/352 Graph Colorings CoNTEMPORARY MATHEMATICS 352 Graph Colorings Marek Kubale Editor American Mathematical Society Providence, Rhode Island Editorial Board Dennis DeTurck, managing editor Andreas Blass Andy R. Magid Michael Vogeli us This work was originally published in Polish by Wydawnictwa Naukowo-Techniczne under the title "Optymalizacja dyskretna. Modele i metody kolorowania graf6w", © 2002 Wydawnictwa N aukowo-Techniczne. The present translation was created under license for the American Mathematical Society and is published by permission. 2000 Mathematics Subject Classification. Primary 05Cl5. Library of Congress Cataloging-in-Publication Data Optymalizacja dyskretna. English. Graph colorings/ Marek Kubale, editor. p. em.- (Contemporary mathematics, ISSN 0271-4132; 352) Includes bibliographical references and index. ISBN 0-8218-3458-4 (acid-free paper) 1. Graph coloring. I. Kubale, Marek, 1946- II. Title. Ill. Contemporary mathematics (American Mathematical Society); v. 352. QA166 .247.06813 2004 5111.5-dc22 2004046151 Copying and reprinting. Material in this book may be reproduced by any means for edu- cational and scientific purposes without fee or permission with the exception of reproduction by services that collect fees for delivery of documents and provided that the customary acknowledg- ment of the source is given. This consent does not extend to other kinds of copying for general distribution, for advertising or promotional purposes, or for resale. Requests for permission for commercial use of material should be addressed to the Acquisitions Department, American Math- ematical Society, 201 Charles Street, Providence, Rhode Island 02904-2294, USA. Requests can also be made by e-mail to reprint-permissien@ams. -
Discriminating Power of Centrality Measures (Working Paper)
Discriminating Power of Centrality Measures (working paper) M. Puck Rombach∗ Mason A. Porterz July 27, 2018 Abstract The calculation of centrality measures is common practice in the study of networks, as they attempt to quantify the importance of individual vertices, edges, or other components. Different centralities attempt to measure importance in different ways. In this paper, we examine a conjecture posed by E. Estrada regarding the ability of several measures to distinguish the vertices of networks. Estrada conjectured [9, 12] that if all vertices of a graph have the same subgraph centrality, then all vertices must also have the same degree, eigenvector, closeness, and betweenness centralities. We provide a counterexample for the latter two centrality measures and propose a revised conjecture. 1 Introduction Many problems in the study of networks focus on flows along the edges of a network [20]. Although flows such as the transportation of physical objects or the spread of disease are conservative, the flow of information tends to diminish as it moves through a network, and the influence of one vertex on another decreases with increasing network distance between them [17]. Such considerations have sparked an interest in network communicability, in which a arXiv:1305.3146v1 [cs.SI] 14 May 2013 perturbation of one vertex is felt by the other vertices with differing intensities [10]. These intensities depend on all paths between a pair of vertices, though longer paths have smaller influence. This idea is expressed in a general communicability function 1 n X X k ci = ck(A )ij ; (1) k=0 j=1 ∗Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, [email protected] yOxford Centre for Industrial and Applied Mathematics, Mathematical Institute and CABDyN Complex- ity Centre, University of Oxford, [email protected] 1 where A is the adjacency matrix|whose entries are 1 if vertices i and j are connected to each other and 0 if they are not|and n is the total number of vertices in the network. -
A Graph-Theoretic Classification for the Controllability of the Laplacian
53rd IEEE Conference on Decision and Control December 15-17, 2014. Los Angeles, California, USA A graph-theoretic classification for the controllability of the Laplacian leader-follower dynamics Cesar O. Aguilar1 and Bahman Gharesifard2 Abstract— In this paper, we revisit the controllability problem control vector, and finally, conditionally controllable graphs for the Laplacian based leader-follower dynamics with the are controllable for a strict subset of the control vectors. The aim of addressing some fundamental gaps within the existing particular focus in this paper is on the case where the control literature. We introduce a notion of graph controllability classes for Laplacian based leader-follower control systems, namely, set is the binary vectors. The motivation for this choice is to the classes of essentially controllable, completely uncontrollable, capture the situation where the control signal is broadcasted and conditionally controllable graphs. In addition to the topol- by the leader nodes. Moreover, it includes as a special case ogy of the underlying graph, our controllability classes rely on the scenario considered in [2]. We prove that essentially the richness of the set of control vectors. The particular focus controllable graphs are necessarily asymmetric. Notably, in this paper is on the case where this set is chosen as the set of binary vectors, which captures the case when the control we show that the example of the 6-graph provided in the signal is broadcasted by the leader nodes. We first prove that literature [2] to demonstrate that asymmetry is not necessary the class of essentially controllable graphs is a strict subset of for uncontrollability, is in fact essentially controllable; thus the class of asymmetric graphs. -
Automorphisms of Graphs
Automorphisms of graphs Peter J. Cameron Queen Mary, University of London London E1 4NS U.K. Draft, April 2001 Abstract This chapter surveys automorphisms of finite graphs, concentrat- ing on the asymmetry of typical graphs, prescribing automorphism groups (as either permutation groups or abstract groups), and special properties of vertex-transitive graphs and related classes. There are short digressions on infinite graphs and graph homomorphisms. 1 Graph automorphisms An automorphism of a graph G is a permutation g of the vertex set of G with the property that, for any vertices u and v, we have ug vg if and only if u v. (As usual, we use vg to denote the image of the vertex∼ v under the permutation∼ g. See [13] for the terminology and main results of permutation group theory.) This simple definition does not suffice for multigraphs; we need to specify a permutation of the edges as well as a permutation of the vertices, to ensure that the multiplicity of edges between two vertices is preserved. (Alterna- tively, a multigraph can be regarded as a weighted graph, where the weight au;v is the number of edges from u to v; an automorphism is required to satisfy aug;vg = au;v. This gives a slightly different description of automor- phisms, but the action on the set of vertices is the same.) We will consider only simple graphs here. 1 The set of all automorphisms of a graph G, with the operation of com- position of permutations, is a permutation group on VG (a subgroup of the symmetric group on VG). -
The List Distinguishing Number Equals the Distinguishing Number
The List Distinguishing Number Equals the Distinguishing Number for Interval Graphs Poppy Immel∗ and Paul S. Wenger∗ July 15, 2021 Abstract A distinguishing coloring of a graph G is a coloring of the vertices so that every nontrivial automorphism of G maps some vertex to a vertex with a different color. The distinguishing number of G is the minimum k such that G has a distinguishing coloring where each vertex is assigned a color from {1,...,k}. A list assignment to G is an assignment L = {L(v)}v∈V (G) of lists of colors to the vertices of G. A distinguishing L-coloring of G is a distinguishing coloring of G where the color of each vertex v comes from L(v). The list distinguishing number of G is the minimum k such that every list assignment to G in which |L(v)| = k for all v ∈ V (G) yields a distinguishing L-coloring of G. We prove that if G is an interval graph, then its distinguishing number and list distinguishing number are equal. Keywords: 05C60; distinguishing; distinguishing number; list distin- guishing; interval graph 1 Introduction All graphs considered in this paper are finite and simple. We denote the vertex set of a graph G by V (G). An isomorphism from a graph G to a graph H is an adjacency-preserving arXiv:1509.04327v1 [math.CO] 14 Sep 2015 bijection from V (G) to V (H). An automorphism is an isomorphism from a graph to itself. A k-coloring of a graph G is a labeling of the vertices φ : V (G) →{1, 2,...,k} (henceforth we adopt the standard notation [k] for {1,...,k}). -
The List Distinguishing Number Equals the Distinguishing Number for Interval Graphs
Discussiones Mathematicae Graph Theory 37 (2017) 165–174 doi:10.7151/dmgt.1927 THE LIST DISTINGUISHING NUMBER EQUALS THE DISTINGUISHING NUMBER FOR INTERVAL GRAPHS Poppy Immel and Paul S. Wenger School of Mathematical Sciences Rochester Institute of Technology Rochester, NY, USA e-mail: [email protected] [email protected] Abstract A distinguishing coloring of a graph G is a coloring of the vertices so that every nontrivial automorphism of G maps some vertex to a vertex with a different color. The distinguishing number of G is the minimum k such that G has a distinguishing coloring where each vertex is assigned a color from {1,...,k}. A list assignment to G is an assignment L = {L(v)}v∈V (G) of lists of colors to the vertices of G. A distinguishing L-coloring of G is a distinguishing coloring of G where the color of each vertex v comes from L(v). The list distinguishing number of G is the minimum k such that every list assignment to G in which |L(v)| = k for all v ∈ V (G) yields a distinguishing L-coloring of G. We prove that if G is an interval graph, then its distinguishing number and list distinguishing number are equal. Keywords: distinguishing, distinguishing number, list distinguishing, in- terval graph. 2010 Mathematics Subject Classification: 05C60. 1. Introduction All graphs considered in this paper are finite and simple. We denote the vertex set of a graph G by V (G). An isomorphism from a graph G to a graph H is an adjacency-preserving bijection from V (G) to V (H). -
Extrema Concerning Asymmetric Graphs
JOURNAL OF COMBINATORIAL THEORY 3, 57-82 (1967) Extrema Concerning Asymmetric Graphs LOUIS V. QUINTAS* Graduate Center, The City University of New York, New York 10036 Communicated by A. .1. Hoffman ABSTRACT By a graph we mean a finite undirected graph without loops and without multiple edges. The automorphism group of a graph consists of those permutations of the vertex set of the graph which preserve adjacency relations. A graph is called asymmetric if its automorphism group consists only of the identity automorphism. In this paper we study questions pertaining to the existence and structure of asymmetric graphs. Specifically, we establish the extreme values of p and q for which there exist asymmetric graphs having p vertices and q edges. These extremes are obtained for the following four classes of graphs: all graphs, connected graphs, graphs having no vertices of degree 2 (topological graphs), and connected topological graphs. An asymmetric graph K is said to have asymmetry equal to 1 if it is possible by either adjoining one edge to K or deleting one edge of K to obtain a graph which is not asymmetric. For the above-mentioned four classes of graphs we resolve the following problem: determLqe the least value G(p, 1) for which there exists a graph having asymmetry equal to 1, having p vertices, and having G(p, 1) edges. This problem stated for the class of all graphs was posed by P. Erd6s and A. R6nyi, Asymmetric Graphs Acta Math. Acad. Sci. Hungar. 14 (1963), 295-315. 1. INTRODUCTION By a graph we mean a finite undirected graph (as defined in [8, p. -
Groups, Graphs, and Symmetry-Breaking
Groups, Graphs, and Symmetry-Breaking Karen S. Potanka Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science in Mathematics Dr. Ezra Brown, Chair Dr. Joseph Ball Dr. Monte Boisen April 16, 1998 Blacksburg, Virginia Keywords: Petersen Graph, Symmetry-Breaking, Graph Theory Copyright 1998, Karen S. Potanka Groups, Graphs, and Symmetry-Breaking Karen S. Potanka (ABSTRACT) A labeling of a graph G is said to be r-distinguishing if no automorphism of G preserves all of the vertex labels. The smallest such number r for which there is an r-distinguishing labeling on G is called the distinguishing number of G.Thedistinguishing set of a group Γ, D(Γ), is the set of distinguishing numbers of graphs G in which Aut(G) ∼= Γ. It is shown that D(Γ) is non-empty for any finite group Γ. In particular, D(Dn) is found where Dn is the dihedral group with 2n elements. From there, the generalized Petersen graphs, GP (n, k), are defined and the automorphism groups and distinguishing numbers of such graphs are given. Contents 1 Introduction 1 2 Representation of Graphs 2 3 Automorphism Groups and Group Actions 3 3.1Automorphisms.................................. 3 3.2GroupActions................................... 4 4 Distinguishing Number of a Graph 7 5 Groups and Graphs 10 5.1CayleyGraphs.................................. 10 5.2Frucht’sConstruction............................... 11 6 Distinguishing the Orbits of a Graph 14 6.1DistinguishingtheOrbits............................. 16 6.2SizeoftheOrbit................................. 17 6.3NumberofOrbits................................. 17 7 Dihedral Groups 18 7.1 Subgroups of Dn ................................. 18 7.1.1 Types of Subgroups of Dn ....................... -
A Vizing-Like Theorem for Union Vertex-Distinguishing Edge Coloring Nicolas Bousquet, Antoine Dailly, Eric Duchene, Hamamache Kheddouci, Aline Parreau
A Vizing-like theorem for union vertex-distinguishing edge coloring Nicolas Bousquet, Antoine Dailly, Eric Duchene, Hamamache Kheddouci, Aline Parreau To cite this version: Nicolas Bousquet, Antoine Dailly, Eric Duchene, Hamamache Kheddouci, Aline Parreau. A Vizing- like theorem for union vertex-distinguishing edge coloring. Discrete Applied Mathematics, Elsevier, 2017, 232, pp.88-98. 10.1016/j.dam.2017.07.002. hal-01313088v2 HAL Id: hal-01313088 https://hal.archives-ouvertes.fr/hal-01313088v2 Submitted on 17 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. A Vizing-like theorem for union vertex-distinguishing edge coloring Nicolas Bousqueta, Antoine Daillyb,∗, Eric´ Duch^eneb, Hamamache Kheddoucib, Aline Parreaub aG-SCOP (CNRS, Univ. Grenoble-Alpes), Grenoble, France. bUniv Lyon, Universit´eLyon 1, LIRIS UMR CNRS 5205, F-69621, Lyon, France. Abstract We introduce a variant of the vertex-distinguishing edge coloring problem, where each edge is assigned a subset of colors. The label of a vertex is the union of the sets of colors on edges incident to it. In this paper we investigate the problem of finding a coloring with the minimum number of colors where every vertex receives a distinct label.