Grünbaum Coloring and Its Generalization to Arbitrary Dimension
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Fractional and Circular Separation Dimension of Graphs
Fractional and Circular Separation Dimension of Graphs Sarah J. Loeb∗and Douglas B. West† Revised June 2017 Abstract The separation dimension of a graph G, written π(G), is the minimum number of linear orderings of V (G) such that every two nonincident edges are “separated” in some ordering, meaning that both endpoints of one edge appear before both endpoints of the other. We introduce the fractional separation dimension πf (G), which is the minimum of a/b such that some a linear orderings (repetition allowed) separate every two nonincident edges at least b times. In contrast to separation dimension, fractional separation dimension is bounded: always πf (G) 3, with equality if and only if G contains K4. There is no stronger ≤ 3m bound even for bipartite graphs, since πf (Km,m) = πf (Km+1,m) = m+1 . We also compute πf (G) for cycles and some complete tripartite graphs. We show that πf (G) < √2 when G is a tree and present a sequence of trees on which the value tends to 4/3. Finally, we consider analogous problems for circular orderings, where pairs of non- incident edges are separated unless their endpoints alternate. Let π◦(G) be the number of circular orderings needed to separate all pairs and πf◦(G) be the fractional version. Among our results: (1) π◦(G) = 1 if and only G is outerplanar. (2) π◦(G) 2 when 3 ≤ G is bipartite. (3) π◦(Kn) log2 log3(n 1). (4) πf◦(G) 2 for every graph G, with ≥ − 3m 3 ≤ equality if and only if K4 G. -
The Partition Dimension of a Graph
c Birkh¨auser Verlag, Basel, 2000 Aequationes Math. 59 (2000) 45–54 0001-9054/00/010045-10 $ 1.50+0.20/0 Aequationes Mathematicae The partition dimension of a graph Gary Chartrand, Ebrahim Salehi and Ping Zhang Summary. For a vertex v of a connected graph G and a subset S of V (G), the distance between v and S is d(v, S) = min d(v, x) x S . For an ordered k-partition Π = S1,S2, ,S of { | ∈ } { ··· k} V (G), the representation of v with respect to Π is the k-vector r(v Π) = (d(v, S1),d(v, S2), | ,d(v, Sk)). The k-partition Π is a resolving partition if the k-vectors r(v Π), v V (G), are··· distinct. The minimum k for which there is a resolving k-partition of V (G)| is the partition∈ dimension pd(G)ofG. It is shown that the partition dimension of a graph G is bounded above by 1 more than its metric dimension. An upper bound for the partition dimension of a bipartite graph G is given in terms of the cardinalities of its partite sets, and it is shown that the bound is attained if and only if G is a complete bipartite graph. Graphs of order n having partition dimension 2, n,orn 1 are characterized. − Mathematics Subject Classification (1991). 05C12. 1. Introduction For vertices u and v in a connected graph G, the distance d(u, v) is the length of a shortest path between u and v in G. For an ordered set W = w1,w2, ,wk of vertices in a connected graph G and a vertex v of G,thek-vector{ (ordered···k-tuple)} r(v W )=(d(v, w1),d(v, w2), ,d(v, wk)) | ··· is referred to as the (metric) representation of v with respect to W .ThesetW is called a resolving set for G if the vertices of G have distinct representations. -
On the Edge Metric Dimension of Graphs
AIMS Mathematics, 5(5): 4459–4465. DOI:10.3934/math.2020286 Received: 17 March 2020 Accepted: 10 May 2020 http://www.aimspress.com/journal/Math Published: 18 May 2020 Research article On the edge metric dimension of graphs Meiqin Wei1, Jun Yue2;∗ and Xiaoyu zhu3 1 College of Arts and Sciences, Shanghai Maritime University, Shanghai 201306, China 2 School of Mathematics and Statistics, Shandong Normal University, Jinan 250358, Shandong, China 3 School of Mathematics and Statistics, Ningbo University, Ningbo 315211, Zhejiang, China * Correspondence: Email: [email protected]. Abstract: Let G = (V; E) be a connected graph of order n. S ⊆ V is an edge metric generator of G if any pair of edges in E can be distinguished by some element of S . The edge metric dimension edim(G) of a graph G is the least size of an edge metric generator of G. In this paper, we give the characterization of all connected bipartite graphs with edim = n − 2, which partially answers an open problem of Zubrilina (2018). Furthermore, we also give a sufficient and necessary condition for edim(G) = n − 2, where G is a graph with maximum degree n − 1. In addition, the relationship between the edge metric dimension and the clique number of a graph G is investigated by construction. Keywords: edge metric dimension; clique number; bipartite graphs Mathematics Subject Classification: 05C40 1. Introduction Throughout this paper, all graphs considered are finite, simple and undirected. We follow the notation and terminology of Bondy [1] and Diestel [2]. A generator of a metric space is a set S of points in the space with the property that every point of the space is uniquely determined by its distances from the elements of S . -
Graph Fractal Dimension and Structure of Fractal Networks: a Combinatorial Perspective
Graph fractal dimension and structure of fractal networks: a combinatorial perspective Pavel Skums1,3 and Leonid Bunimovich2 1Department of Computer Science, Georgia State University, 1 Park Pl NE, Atlanta, GA, USA, 30303 2School of Mathematics, Georgia Institute of Technology, 686 Cherry St NW, Atlanta, GA, USA, 30313 3Corresponding author. Email: [email protected] December 25, 2019 Abstract In this paper we study self-similar and fractal networks from the combinatorial perspective. We estab- lish analogues of topological (Lebesgue) and fractal (Hausdorff) dimensions for graphs and demonstrate that they are naturally related to known graph-theoretical characteristics: rank dimension and product (or Prague or Neˇsetˇril-R¨odl)dimension. Our approach reveals how self-similarity and fractality of a network are defined by a pattern of overlaps between densely connected network communities. It allows us to identify fractal graphs, explore the relations between graph fractality, graph colorings and graph Kolmogorov complexity, and analyze the fractality of several classes of graphs and network models, as well as of a number of real-life networks. We demonstrate the application of our framework to evolu- tionary studies by revealing the growth of self-organization of heterogeneous viral populations over the course of their intra-host evolution, thus suggesting mechanisms of their gradual adaptation to the host's environment. As far as the authors know, the proposed approach is the first theoretical framework for study of network fractality within the combinatorial paradigm. The obtained results lay a foundation for studying fractal properties of complex networks using combinatorial methods and algorithms. Keywords: Fractal network, Self-similarity, Lebesgue dimension, Hausdorff dimension, Kolmogorov complexity, Graph coloring, Clique, Hypergraph. -
(Strong) Metric Dimension of Graph Families
THE SIMULTANEOUS (STRONG) METRIC DIMENSION OF GRAPH FAMILIES Yunior Ramírez Cruz ADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. ADVERTENCIA. El acceso a los contenidos de esta tesis doctoral y su utilización debe respetar los derechos de la persona autora. Puede ser utilizada para consulta o estudio personal, así como en actividades o materiales de investigación y docencia en los términos establecidos en el art. 32 del Texto Refundido de la Ley de Propiedad Intelectual (RDL 1/1996). Para otros usos se requiere la autorización previa y expresa de la persona autora. En cualquier caso, en la utilización de sus contenidos se deberá indicar de forma clara el nombre y apellidos de la persona autora y el título de la tesis doctoral. -
Variations on a Graph Coloring Theme
Western Michigan University ScholarWorks at WMU Dissertations Graduate College 6-2012 Variations on a Graph Coloring Theme Bryan Phinezy Western Michigan University Follow this and additional works at: https://scholarworks.wmich.edu/dissertations Part of the Mathematics Commons Recommended Citation Phinezy, Bryan, "Variations on a Graph Coloring Theme" (2012). Dissertations. 3400. https://scholarworks.wmich.edu/dissertations/3400 This Dissertation-Open Access is brought to you for free and open access by the Graduate College at ScholarWorks at WMU. It has been accepted for inclusion in Dissertations by an authorized administrator of ScholarWorks at WMU. For more information, please contact [email protected]. Variations on a Graph Coloring Theme by Bryan Phinezy A Dissertation Submitted to the Faculty of The Graduate College in partial fulfllment of the requirements for the Degree of Doctor of Philosophy Department of Mathematics Advisor: Ping Zhang, Ph.D. Western Michigan University Kalamazoo, Michigan June 2012 © 2012 Bryan Phinezy ACKNOWLEDGEMENTS I would like to thank my doctoral committee consisting of Dr. Ping Zhang, Dr. Gary Chartrand, Dr. Garry Johns, Dr. Allen Schwenk, and Dr. Arthur White. Without them, none of this would have happened. I would specificallylike to thank my committee chair, Dr. Ping Zhang for all of the time she spent with me to further my research endeavors. I would like to thank the staff in the math office for all of the help they have given me over the years. My classmates have been a big help for me to get through the program as well. Specifically, the people I share an office with have been around to listen to me as I worked on these problems. -
Metric Dimension of a Graph G Which Consists of finding the Largest Integer K Such That There Exists a (K, T)-Metric Generator for G
The k-metric dimension of graphs: a general approach A. Estrada-Moreno(1), I. G. Yero(2) and J. A. Rodr´ıguez-Vel´azquez(1) (1)Departament d'Enginyeria Inform`aticai Matem`atiques, Universitat Rovira i Virgili, Av. Pa¨ısosCatalans 26, 43007 Tarragona, Spain. [email protected], [email protected] (2)Departamento de Matem´aticas,Escuela Polit´ecnicaSuperior de Algeciras Universidad de C´adiz,Av. Ram´onPuyol s/n, 11202 Algeciras, Spain. [email protected] July 6, 2016 Abstract Let (X; d) be a metric space. A set S ⊆ X is said to be a k-metric generator for X if and only if for any pair of different points u; v 2 X, there exist at least k points w1; w2; : : : wk 2 S such that d(u; wi) 6= d(v; wi); for all i 2 f1; : : : kg: Let Rk(X) be the set of metric generators for X. The k-metric dimension dimk(X) of (X; d) is defined as dimk(X) = inffjSj : S 2 Rk(X)g: Here, we discuss the k-metric dimension of (V; dt), where V is the set of vertices of a simple graph G and the metric dt : V × V ! N [ f0g is defined by dt(x; y) = minfd(x; y); tg from the geodesic distance d in G and a positive integer t. The case t ≥ D(G), where D(G) denotes the diameter of G, corresponds to the original theory of k-metric dimension and the case t = 2 corresponds to the theory of k-adjacency dimension. -
The K-Metric Dimension of a Graph -.:: Natural Sciences Publishing
Appl. Math. Inf. Sci. 9, No. 6, 2829-2840 (2015) 2829 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.12785/amis/090609 The k-Metric Dimension of a Graph Alejandro Estrada-Moreno1,∗, Juan A. Rodr´ıguez-Velazquez´ 1 and Ismael G. Yero2 1 Departament d’Enginyeria Inform`atica i Matem`atiques, Universitat Rovira i Virgili, Av. Pa¨ısos Catalans 26, 43007 Tarragona, Spain 2 Departamento de Matem´aticas, Escuela Polit´ecnica Superior de Algeciras, Universidad de C´adiz, Av. Ram´on Puyol s/n, 11202 Algeciras, Spain Received: 9 Feb. 2015, Revised: 9 Apr. 2015, Accepted: 10 Apr. 2015 Published online: 1 Nov. 2015 Abstract: As a generalization of the concept of a metric basis, this article introduces the notion of k-metric basis in graphs. Given a connected graph G =(V,E), a set S ⊆ V is said to be a k-metric generator for G if the elements of any pair of different vertices of G are distinguished by at least k elements of S, i.e., for any two different vertices u,v ∈ V, there exist at least k vertices w1,w2,...,wk ∈ S such that dG(u,wi) 6= dG(v,wi) for every i ∈ {1,...,k}.A k-metric generator of minimum cardinality is called a k-metric basis and its cardinality the k-metric dimension of G. A connected graph G is k-metric dimensional if k is the largest integer such that there exists a k-metric basis for G. We give a necessary and sufficient condition for a graph to be k-metric dimensional and we obtain several results on the r-metric dimension, r ∈ {1,...,k}.