Isometric Diamond Subgraphs
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Coloring ($ P 6 $, Diamond, $ K 4 $)-Free Graphs
Coloring (P6, diamond, K4)-free graphs T. Karthick∗ Suchismita Mishra† June 28, 2021 Abstract We show that every (P6, diamond, K4)-free graph is 6-colorable. Moreover, we give an example of a (P6, diamond, K4)-free graph G with χ(G) = 6. This generalizes some known results in the literature. 1 Introduction We consider simple, finite, and undirected graphs. For notation and terminology not defined here we refer to [22]. Let Pn, Cn, Kn denote the induced path, induced cycle and complete graph on n vertices respectively. If G1 and G2 are two vertex disjoint graphs, then their union G1 ∪ G2 is the graph with V (G1 ∪ G2) = V (G1) ∪ V (G2) and E(G1 ∪ G2) = E(G1) ∪ E(G2). Similarly, their join G1 + G2 is the graph with V (G1 + G2) = V (G1) ∪ V (G2) and E(G1 + G2) = E(G1) ∪ E(G2)∪{(x,y) | x ∈ V (G1), y ∈ V (G2)}. For any positive integer k, kG denotes the union of k graphs each isomorphic to G. If F is a family of graphs, a graph G is said to be F-free if it contains no induced subgraph isomorphic to any member of F. A clique (independent set) in a graph G is a set of vertices that are pairwise adjacent (non-adjacent) in G. The clique number of G, denoted by ω(G), is the size of a maximum clique in G. A k-coloring of a graph G = (V, E) is a mapping f : V → {1, 2,...,k} such that f(u) 6= f(v) whenever uv ∈ E. -
Graphs with Few Trivial Characteristic Ideals
University of Rhode Island DigitalCommons@URI Mathematics Faculty Publications Mathematics 2021 Graphs with few trivial characteristic ideals Carlos A. Alfaro Michael D. Barrus John Sinkovic Ralihe R. Villagrán Follow this and additional works at: https://digitalcommons.uri.edu/math_facpubs The University of Rhode Island Faculty have made this article openly available. Please let us know how Open Access to this research benefits you. This is a pre-publication author manuscript of the final, published article. Terms of Use This article is made available under the terms and conditions applicable towards Open Access Policy Articles, as set forth in our Terms of Use. Graphs with few trivial characteristic ideals Carlos A. Alfaroa, Michael D. Barrusb, John Sinkovicc and Ralihe R. Villagr´and a Banco de M´exico Mexico City, Mexico [email protected] bDepartment of Mathematics University of Rhode Island Kingston, RI 02881, USA [email protected] cDepartment of Mathematics Brigham Young University - Idaho Rexburg, ID 83460, USA [email protected] dDepartamento de Matem´aticas Centro de Investigaci´ony de Estudios Avanzados del IPN Apartado Postal 14-740, 07000 Mexico City, Mexico [email protected] Abstract We give a characterization of the graphs with at most three trivial characteristic ideals. This implies the complete characterization of the regular graphs whose critical groups have at most three invariant factors equal to 1 and the characterization of the graphs whose Smith groups have at most 3 invariant factors equal to 1. We also give an alternative and simpler way to obtain the characterization of the graphs whose Smith groups have at most 3 invariant factors equal to 1, and a list of minimal forbidden graphs for the family of graphs with Smith group having at most 4 invariant factors equal to 1. -
Cubic Vertex-Transitive Graphs of Girth Six
CUBIC VERTEX-TRANSITIVE GRAPHS OF GIRTH SIX PRIMOZˇ POTOCNIKˇ AND JANOSˇ VIDALI Abstract. In this paper, a complete classification of finite simple cubic vertex-transitive graphs of girth 6 is obtained. It is proved that every such graph, with the exception of the Desargues graph on 20 vertices, is either a skeleton of a hexagonal tiling of the torus, the skeleton of the truncation of an arc-transitive triangulation of a closed hyperbolic surface, or the truncation of a 6-regular graph with respect to an arc- transitive dihedral scheme. Cubic vertex-transitive graphs of girth larger than 6 are also discussed. 1. Introduction Cubic vertex-transitive graph are one of the oldest themes in algebraic graph theory, appearing already in the classical work of Foster [13, 14] and Tutte [33], and retaining the attention of the community until present times (see, for example, the works of Coxeter, Frucht and Powers [8], Djokovi´cand Miller [9], Lorimer [23], Conder and Lorimer [6], Glover and Maruˇsiˇc[15], Potoˇcnik, Spiga and Verret [27], Hua and Feng [16], Spiga [30], to name a few of the most influential papers). The girth (the length of a shortest cycle) is an important invariant of a graph which appears in many well-known graph theoretical problems, results and formulas. In many cases, requiring the graph to have small girth severely restricts the structure of the graph. Such a phenomenon can be observed when one focuses to a family of graphs of small valence possessing a high level of symmetry. For example, arc-transitive 4-valent graphs of girth at most 4 were characterised in [29]. -
Dynamical Systems Associated with Adjacency Matrices
DISCRETE AND CONTINUOUS doi:10.3934/dcdsb.2018190 DYNAMICAL SYSTEMS SERIES B Volume 23, Number 5, July 2018 pp. 1945{1973 DYNAMICAL SYSTEMS ASSOCIATED WITH ADJACENCY MATRICES Delio Mugnolo Delio Mugnolo, Lehrgebiet Analysis, Fakult¨atMathematik und Informatik FernUniversit¨atin Hagen, D-58084 Hagen, Germany Abstract. We develop the theory of linear evolution equations associated with the adjacency matrix of a graph, focusing in particular on infinite graphs of two kinds: uniformly locally finite graphs as well as locally finite line graphs. We discuss in detail qualitative properties of solutions to these problems by quadratic form methods. We distinguish between backward and forward evo- lution equations: the latter have typical features of diffusive processes, but cannot be well-posed on graphs with unbounded degree. On the contrary, well-posedness of backward equations is a typical feature of line graphs. We suggest how to detect even cycles and/or couples of odd cycles on graphs by studying backward equations for the adjacency matrix on their line graph. 1. Introduction. The aim of this paper is to discuss the properties of the linear dynamical system du (t) = Au(t) (1.1) dt where A is the adjacency matrix of a graph G with vertex set V and edge set E. Of course, in the case of finite graphs A is a bounded linear operator on the finite di- mensional Hilbert space CjVj. Hence the solution is given by the exponential matrix etA, but computing it is in general a hard task, since A carries little structure and can be a sparse or dense matrix, depending on the underlying graph. -
Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines
Western University Scholarship@Western Electronic Thesis and Dissertation Repository 4-8-2019 10:30 AM Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines Daniel R. Page The University of Western Ontario Supervisor Solis-Oba, Roberto The University of Western Ontario Graduate Program in Computer Science A thesis submitted in partial fulfillment of the equirr ements for the degree in Doctor of Philosophy © Daniel R. Page 2019 Follow this and additional works at: https://ir.lib.uwo.ca/etd Part of the Discrete Mathematics and Combinatorics Commons, and the Theory and Algorithms Commons Recommended Citation Page, Daniel R., "Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines" (2019). Electronic Thesis and Dissertation Repository. 6109. https://ir.lib.uwo.ca/etd/6109 This Dissertation/Thesis is brought to you for free and open access by Scholarship@Western. It has been accepted for inclusion in Electronic Thesis and Dissertation Repository by an authorized administrator of Scholarship@Western. For more information, please contact [email protected]. Abstract A fundamental problem in scheduling is makespan minimization on unrelated parallel ma- chines (RjjCmax). Let there be a set J of jobs and a set M of parallel machines, where every + job J j 2 J has processing time or length pi; j 2 Q on machine Mi 2 M. The goal in RjjCmax is to schedule the jobs non-preemptively on the machines so as to minimize the length of the schedule, the makespan. A ρ-approximation algorithm produces in polynomial time a feasible solution such that its objective value is within a multiplicative factor ρ of the optimum, where ρ is called its approximation ratio. -
The Distance-Regular Antipodal Covers of Classical Distance-Regular Graphs
COLLOQUIA MATHEMATICA SOCIETATIS JANOS BOLYAI 52. COMBINATORICS, EGER (HUNGARY), 198'7 The Distance-regular Antipodal Covers of Classical Distance-regular Graphs J. T. M. VAN BON and A. E. BROUWER 1. Introduction. If r is a graph and "Y is a vertex of r, then let us write r,("Y) for the set of all vertices of r at distance i from"/, and r('Y) = r 1 ('Y)for the set of all neighbours of 'Y in r. We shall also write ry ...., S to denote that -y and S are adjacent, and 'YJ. for the set h} u r b) of "/ and its all neighbours. r i will denote the graph with the same vertices as r, where two vertices are adjacent when they have distance i in r. The graph r is called distance-regular with diameter d and intersection array {bo, ... , bd-li c1, ... , cd} if for any two vertices ry, oat distance i we have lfH1(1')n nr(o)j = b, and jri-ib) n r(o)j = c,(o ::; i ::; d). Clearly bd =co = 0 (and C1 = 1). Also, a distance-regular graph r is regular of degree k = bo, and if we put ai = k- bi - c; then jf;(i) n r(o)I = a, whenever d("f, S) =i. We shall also use the notations k, = lf1b)I (this is independent of the vertex ry),). = a1,µ = c2 . For basic properties of distance-regular graphs, see Biggs [4]. The graph r is called imprimitive when for some I~ {O, 1, ... , d}, I-:/= {O}, If -:/= {O, 1, .. -
Graph-Theoretic Properties of the Class of Phonological Neighbourhood Networks
Graph-theoretic Properties of the Class of Phonological Neighbourhood Networks Rory Turnbull Newcastle University [email protected] Abstract flan clan This paper concerns the structure of phono- plant logical neighbourhood networks, which are a graph-theoretic representation of the phono- plane logical lexicon. These networks represent each word as a node and links are placed be- plan planner tween words which are phonological neigh- bours, usually defined as a string edit distance plaque of one. Phonological neighbourhood networks have been used to study many aspects of the planned mental lexicon and psycholinguistic theories pan of speech production and perception. This pa- plans per offers preliminary graph-theoretic observa- tions about phonological neighbourhood net- Figure 1: Example phonological neighbourhood net- works considered as a class. To aid this ex- work centred around the English word plan. Note that ploration, this paper introduces the concept of some neighbours of a word are neighbours of each the hyperlexicon, the network consisting of all other. Adapted from Turnbull and Peperkamp(2017). possible words for a given symbol set and their neighbourhood relations. The construction of the hyperlexicon is discussed, and basic prop- 0 0 erties are derived. This work is among the first of w), intransitive (if w is a neighbour of w , and w to directly address the nature of phonological is a neighbour of w00, it is not necessarily the case neighbourhood networks from an analytic per- that w is a neighbour of w00), and anti-reflexive (w spective. cannot be a neighbour of itself). Figure1 shows an abbreviated phonological 1 Motivation neighbourhood network for some words of English. -
Math.RA] 25 Sep 2013 Previous Paper [3], Also Relying in Conceptually Separated Tools from Them, Such As Graphs and Digraphs
Certain particular families of graphicable algebras Juan Núñez, María Luisa Rodríguez-Arévalo and María Trinidad Villar Dpto. Geometría y Topología. Facultad de Matemáticas. Universidad de Sevilla. Apdo. 1160. 41080-Sevilla, Spain. [email protected] [email protected] [email protected] Abstract In this paper, we introduce some particular families of graphicable algebras obtained by following a relatively new line of research, ini- tiated previously by some of the authors. It consists of the use of certain objects of Discrete Mathematics, mainly graphs and digraphs, to facilitate the study of graphicable algebras, which are a subset of evolution algebras. 2010 Mathematics Subject Classification: 17D99; 05C20; 05C50. Keywords: Graphicable algebras; evolution algebras; graphs. Introduction The main goal of this paper is to advance in the research of a novel mathematical topic emerged not long ago, the evolution algebras in general, and the graphicable algebras (a subset of them) in particular, in order to obtain new results starting from those by Tian (see [4, 5]) and others already obtained by some of us in a arXiv:1309.6469v1 [math.RA] 25 Sep 2013 previous paper [3], also relying in conceptually separated tools from them, such as graphs and digraphs. Concretely, our goal is to find some particular types of graphicable algebras associated with well-known types of graphs. The motivation to deal with evolution algebras in general and graphicable al- gebras in particular is due to the fact that at present, the study of these algebras is very booming, due to the numerous connections between them and many other branches of Mathematics, such as Graph Theory, Group Theory, Markov pro- cesses, dynamic systems and the Theory of Knots, among others. -
Gridline Graphs in Three and Higher Dimensions Susanna Lange Grand Valley State University
Grand Valley State University ScholarWorks@GVSU Honors Projects Undergraduate Research and Creative Practice 12-2015 Gridline Graphs in Three and Higher Dimensions Susanna Lange Grand Valley State University Holly Raglow Grand Valley State University Follow this and additional works at: http://scholarworks.gvsu.edu/honorsprojects Part of the Physical Sciences and Mathematics Commons Recommended Citation Lange, Susanna and Raglow, Holly, "Gridline Graphs in Three and Higher Dimensions" (2015). Honors Projects. 535. http://scholarworks.gvsu.edu/honorsprojects/535 This Open Access is brought to you for free and open access by the Undergraduate Research and Creative Practice at ScholarWorks@GVSU. It has been accepted for inclusion in Honors Projects by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Gridline Graphs in Three and Higher Dimensions Susanna Lange, Holly Raglow Advisor: Dr. Feryal Alayont December 16, 2015 Introduction In mathematics, a graph is a collection of vertices and edges represented by an image with vertices as points and edges as lines. While there are many different types of graphs in graph theory, we will focus on gridline graphs (also called graphs of (0; 1) matrices, or rook's graphs). Definition. In two dimensions, a gridline graph is a graph whose vertices can be labeled by points in the plane in such a way that two vertices are adjacent, meaning they share an edge, if and only if they have one coordinate in common. In other words, in a two dimensional gridline graph, two vertices are not connected if they differ in both the x coordinate and the y coordinate. -
Arxiv:2011.14609V1 [Math.CO] 30 Nov 2020 Vertices in Different Partition Sets Are Linked by a Hamilton Path of This Graph
Symmetries of the Honeycomb toroidal graphs Primož Šparla;b;c aUniversity of Ljubljana, Faculty of Education, Ljubljana, Slovenia bUniversity of Primorska, Institute Andrej Marušič, Koper, Slovenia cInstitute of Mathematics, Physics and Mechanics, Ljubljana, Slovenia Abstract Honeycomb toroidal graphs are a family of cubic graphs determined by a set of three parameters, that have been studied over the last three decades both by mathematicians and computer scientists. They can all be embedded on a torus and coincide with the cubic Cayley graphs of generalized dihedral groups with respect to a set of three reflections. In a recent survey paper B. Alspach gathered most known results on this intriguing family of graphs and suggested a number of research problems regarding them. In this paper we solve two of these problems by determining the full automorphism group of each honeycomb toroidal graph. Keywords: automorphism; honeycomb toroidal graph; cubic; Cayley 1 Introduction In this short paper we focus on a certain family of cubic graphs with many interesting properties. They are called honeycomb toroidal graphs, mainly because they can be embedded on the torus in such a way that the corresponding faces are hexagons. The usual definition of these graphs is purely combinatorial where, somewhat vaguely, the honeycomb toroidal graph HTG(m; n; `) is defined as the graph of order mn having m disjoint “vertical” n-cycles (with n even) such that two consecutive n-cycles are linked together by n=2 “horizontal” edges, linking every other vertex of the first cycle to every other vertex of the second one, and where the last “vertcial” cycle is linked back to the first one according to the parameter ` (see Section 3 for a precise definition). -
Algorithms for Generating Star and Path of Graphs Using BFS Dr
Web Site: www.ijettcs.org Email: [email protected], [email protected] Volume 1, Issue 3, September – October 2012 ISSN 2278-6856 Algorithms for Generating Star and Path of Graphs using BFS Dr. H. B. Walikar2, Ravikumar H. Roogi1, Shreedevi V. Shindhe3, Ishwar. B4 2,4Prof. Dept of Computer Science, Karnatak University, Dharwad, 1,3Research Scholars, Dept of Computer Science, Karnatak University, Dharwad Abstract: In this paper we deal with BFS algorithm by 1.8 Diamond Graph: modifying it with some conditions and proper labeling of The diamond graph is the simple graph on nodes and vertices which results edges illustrated Fig.7. [2] and on applying it to some small basic 1.9 Paw Graph: class of graphs. The BFS algorithm has to modify The paw graph is the -pan graph, which is also accordingly. Some graphs will result in and by direct application of BFS where some need modifications isomorphic to the -tadpole graph. Fig.8 [2] in the algorithm. The BFS algorithm starts with a root vertex 1.10 Gem Graph: called start vertex. The resulted output tree structure will be The gem graph is the fan graph illustrated Fig.9 [2] in the form of Structure or in Structure. 1.11 Dart Graph: Keywords: BFS, Graph, Star, Path. The dart graph is the -vertex graph illustrated Fig.10.[2] 1.12 Tetrahedral Graph: 1. INTRODUCTION The tetrahedral graph is the Platonic graph that is the 1.1 Graph: unique polyhedral graph on four nodes which is also the A graph is a finite collection of objects called vertices complete graph and therefore also the wheel graph . -
Graphs and Groups Ainize Cidoncha Markiegui
Graphs and Groups Final Degree Dissertation Degree in Mathematics Ainize Cidoncha Markiegui Supervisor: Gustavo Adolfo Fern´andezAlcober Leioa, 1 September 2014 Contents Introduction v 1 Automorphisms of graphs 1 1.1 Graphs . .1 1.2 Automorphisms . .3 1.3 Actions of groups on sets and the Orbit- Stabilizer Theorem . .7 1.3.1 Actions on graphs . 10 1.4 The automorphism group of a cyclic graph . 11 2 Automorphism groups of Kneser graphs 13 2.1 Kneser graphs . 13 2.2 The automorphism group of all Kneser graphs . 14 2.2.1 The Erd}os-Ko-Radotheorem . 14 2.2.2 The automorphism group of Kneser graphs . 19 3 Automorphism groups of generalized Petersen graphs 21 3.1 The generalized Petersen graphs . 21 3.2 Automorphism groups of generalized Petersen graphs . 24 3.2.1 The subgroup B(n; k).................. 25 3.2.2 The automorphism group A(n; k)............ 30 4 An application of graphs and groups to reaction graphs 39 4.1 Molecular graphs and rearrangements . 39 4.2 Reaction graphs . 42 4.2.1 1,2-shift in the carbonium ion . 43 A Solved exercises 49 A.1 Chapter 1 . 49 A.2 Chapter 2 . 51 A.3 Chapter 3 . 57 A.4 Chapter 4 . 66 Bibliography 71 iii Introduction Graph theory has a wide variety of research fields, such as in discrete math- ematics, optimization or computer sciences. However, this work will be focused on the algebraic branch of graph theory. Number and group theory are necessary in order to develop this project whose aim is to give enough de- tails and clarifications in order to fully understand the meaning and concept of the automorphism group of a graph.