Graph Symmetries
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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. -
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. -
On Treewidth and Graph Minors
On Treewidth and Graph Minors Daniel John Harvey Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy February 2014 Department of Mathematics and Statistics The University of Melbourne Produced on archival quality paper ii Abstract Both treewidth and the Hadwiger number are key graph parameters in structural and al- gorithmic graph theory, especially in the theory of graph minors. For example, treewidth demarcates the two major cases of the Robertson and Seymour proof of Wagner's Con- jecture. Also, the Hadwiger number is the key measure of the structural complexity of a graph. In this thesis, we shall investigate these parameters on some interesting classes of graphs. The treewidth of a graph defines, in some sense, how \tree-like" the graph is. Treewidth is a key parameter in the algorithmic field of fixed-parameter tractability. In particular, on classes of bounded treewidth, certain NP-Hard problems can be solved in polynomial time. In structural graph theory, treewidth is of key interest due to its part in the stronger form of Robertson and Seymour's Graph Minor Structure Theorem. A key fact is that the treewidth of a graph is tied to the size of its largest grid minor. In fact, treewidth is tied to a large number of other graph structural parameters, which this thesis thoroughly investigates. In doing so, some of the tying functions between these results are improved. This thesis also determines exactly the treewidth of the line graph of a complete graph. This is a critical example in a recent paper of Marx, and improves on a recent result by Grohe and Marx. -
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. -
SEMIOTIC MODELLING of the STRUCTURE John
SEMIOTIC MODELLING OF THE STRUCTURE John-Tagore Tevet Research Group of Structure Semiotics The University Euroacademy Tallinn Estonia & Honorary Professor Institute of Mathematics H-501 Palam Vihar Gurgaon India [email protected] www.graphs.ee www.dharwadker.org/iom Proceedings of the Institute of Mathematics Published by Amazon Books Copyright © John-Tagore Tevet 2014 2 Abstract Must be stated that the structure as a such, be studied very little, and if so, then either very generally or linked to specific objects. The structure is an integral attribute of all discrete phenomena, their constructional or organizational side . Unfortunately, the concept of structure has devalued to a vague adjective of all objects. In an attempt to explain the essence of structure, we proceed from the fact that the structure is given as a graph and isomorphic graphs have the same structure. However, the structure is something qualitative which with only quantitative graph-theoretical tools is not considered. It has been shown that the essence of structure consists in the relationships between its elements, and it has created a need to look the ways for presenting these relationships. Here is presented a way for recognition of the structure with exactness up to isomorphism and other structural properties. It is implemented in the form of a semiotic model that enables to explain the essential properties of structure and their transformations. John-Tagore Tevet Tallinn, Estonia November 2014 3 4 Contents 1. INITIAL PRINCIPLES 7 1.1. Essence of structure 7 1.2. Semiotic model of structure 9 1.3. Adjustment and simplification of the model 12 2. -
XYZ Decompositions of Graphs Dagstuhl Seminar 08191
XYZ decom- positions V. Batagelj XYZ decompositions of graphs Dagstuhl Seminar 08191 Motivation XYZ decom- Vladimir Batagelj positions Results University of Ljubljana, FMF, Dept. of Mathematics; and References IMFM Ljubljana, Dept. of Theoretical Computer Science joint work with Franz J. Brandenburg, Walter Didimo, Giuseppe Liotta, Maurizio Patrignani 23rd Leoben-Ljubljana Graph Theory Seminar Ljubljana, 14-15. November 2008 V. Batagelj XYZ decompositions Outline XYZ decom- positions V. Batagelj Dagstuhl Seminar 08191 Motivation 1 XYZ decom- Dagstuhl Seminar 08191 positions 2 Motivation Results 3 XYZ decompositions References 4 Results 5 References V. Batagelj XYZ decompositions Dagstuhl Seminar 08191 XYZ decom- positions V. Batagelj Dagstuhl Seminar 08191 Motivation XYZ decom- positions Results References Dagstuhl Seminar 08191: Graph Drawing with Applications to Bioinformatics and Social Sciences. Dagstuhl, May 4-9, 2008 V. Batagelj XYZ decompositions Motivation XYZ decom- positions For dense graphs the matrix representation is better [3]. Pajek - shadow [0.00,1.00] V. Batagelj uki fra wge jap net ita usa bel lux car swe kod den swi can nor par spa irn Dagstuhl yem mat irq pak ire nau aut bol hun Seminar 08191 lib hai isr nic sau alb kuw aus gua mon fin por zai hon bra arg pol syr cze kmr usr Motivation tri ege yug sri ind cha saf gre tur sie egy bul rum uru tai rum syr XYZ decom- leb upv cyp vnr ice arg tun gab cub liy positions pol mor usr lux alg spanor nig isr mli uga ins bul liy ken mex usa eth brm pan net tha cze fra jor sud gre -
Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth K
Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k K. Nunez, J. Chen and P. Chen G. Ding and R. F. Lax B. Marx Dept. of Computer Science Dept. of Mathematics Dept. of Experimental Statistics LSU LSU LSU Baton Rouge, LA 70803 Baton Rouge, LA 70803 Baton Rouge, LA 70803 Abstract—We recently proposed the Edgewise Greedy Algo- simply one less than the maximum of the orders of the rithm (EGA) for learning a decomposable Markov network of maximal cliques [5], a treewidth k DMN approximation to treewidth k approximating a given joint probability distribution a joint probability distribution of n random variables offers of n discrete random variables. The main ingredient of our algorithm is the stepwise forward selection algorithm (FSA) due computational benefits as the approximation uses products of to Deshpande, Garofalakis, and Jordan. EGA is an efficient alter- marginal distributions each involving at most k + 1 of the native to the algorithm (HGA) by Malvestuto, which constructs random variables. a model of treewidth k by selecting hyperedges of order k +1. In The treewidth k DNM learning problem deals with a given this paper, we present results of empirical studies that compare empirical distribution P ∗ (which could be given in the form HGA, EGA and FSA-K which is a straightforward application of FSA, in terms of approximation accuracy (measured by of a distribution table or in the form of a set of training data), KL-divergence) and computational time. Our experiments show and the objective is to find a DNM (i.e., a chordal graph) that (1) on the average, all three algorithms produce similar G of treewidth k which defines a probability distribution Pµ approximation accuracy; (2) EGA produces comparable or better that ”best” approximates P ∗ according to some criterion. -
TETRAVALENT SYMMETRIC GRAPHS of ORDER 9P
J. Korean Math. Soc. 49 (2012), No. 6, pp. 1111–1121 http://dx.doi.org/10.4134/JKMS.2012.49.6.1111 TETRAVALENT SYMMETRIC GRAPHS OF ORDER 9p Song-Tao Guo and Yan-Quan Feng Abstract. A graph is symmetric if its automorphism group acts transi- tively on the set of arcs of the graph. In this paper, we classify tetravalent symmetric graphs of order 9p for each prime p. 1. Introduction Let G be a permutation group on a set Ω and α ∈ Ω. Denote by Gα the stabilizer of α in G, that is, the subgroup of G fixing the point α. We say that G is semiregular on Ω if Gα = 1 for every α ∈ Ω and regular if G is transitive and semiregular. Throughout this paper, we consider undirected finite connected graphs without loops or multiple edges. For a graph X we use V (X), E(X) and Aut(X) to denote its vertex set, edge set, and automorphism group, respectively. For u , v ∈ V (X), denote by {u , v} the edge incident to u and v in X. A graph X is said to be vertex-transitive if Aut(X) acts transitively on V (X). An s-arc in a graph is an ordered (s + 1)-tuple (v0, v1,...,vs−1, vs) of vertices of the graph X such that vi−1 is adjacent to vi for 1 ≤ i ≤ s, and vi−1 = vi+1 for 1 ≤ i ≤ s − 1. In particular, a 1-arc is called an arc for short and a 0-arc is a vertex. -
Group Actions on Graphs, Maps and Surfaces
Ministry of Education of Slovak Republic Scienti¯c Board of P. J. Saf¶arikUniversity· Doc. RNDr. Roman Nedela, CSc. Group Actions on Graphs, Maps and Surfaces Dissertation for the Degree of Doctor of Physical-Mathematical Sciences Branch: 11-11-9 Discrete Mathematics Ko·sice,May 2005 Contents 1 Introduction 5 2 Half-arc-transitive actions of groups on graphs of valency four 7 2.1 Graphs and groups of automorphisms . 7 2.2 Half-arc-transitive action, G-orientation. 7 2.3 Orbital graphs . 9 2.4 A construction of half-arc-transitive graphs of valency 4 . 10 2.5 Alternating cycles, classi¯cation of tightly attached graphs . 10 2.6 Regular maps and half-arc-transitive graphs of valency four . 11 2.7 P l and Al operators on graphs of valency 4 . 13 2.8 Graphs of valency 4 and girth 4 . 14 2.9 Classi¯cation of point stabilizers . 15 2.10 Relations to group actions of other sorts . 17 3 Maps, Regular Maps and Hypermaps 21 3.1 Topological and combinatorial maps, permutation representation of maps . 21 3.2 Generalization to hypermaps, Walsh map of a hypermap . 28 3.3 Maps, hypermaps and groups . 30 3.4 Regular maps of large planar width and residual ¯niteness of triangle groups . 37 3.5 Maps, hypermaps and Riemann surfaces . 40 3.6 Enumeration of maps of given genus . 43 3.7 Regular hypermaps on a ¯xed surface . 48 3.8 Operations on maps and hypermaps, external symmetries of hy- permaps . 51 3.9 Lifting automorphisms of maps . 54 3.10 Regular embeddings of graphs . -
Cores of Vertex-Transitive Graphs
Cores of Vertex-Transitive Graphs Ricky Rotheram Submitted in total fulfilment of the requirements of the degree of Master of Philosophy October 2013 Department of Mathematics and Statistics The University of Melbourne Parkville, VIC 3010, Australia Produced on archival quality paper Abstract The core of a graph Γ is the smallest graph Γ∗ for which there exist graph homomor- phisms Γ ! Γ∗ and Γ∗ ! Γ. Thus cores are fundamental to our understanding of general graph homomorphisms. It is known that for a vertex-transitive graph Γ, Γ∗ is vertex-transitive, and that jV (Γ∗)j divides jV (Γ)j. The purpose of this thesis is to determine the cores of various families of vertex-transitive and symmetric graphs. We focus primarily on finding the cores of imprimitive symmetric graphs of order pq, where p < q are primes. We choose to investigate these graphs because their cores must be symmetric graphs with jV (Γ∗)j = p or q. These graphs have been completely classified, and are split into three broad families, namely the circulants, the incidence graphs and the Maruˇsiˇc-Scapellato graphs. We use this classification to determine the cores of all imprimitive symmetric graphs of order pq, using differ- ent approaches for the circulants, the incidence graphs and the Maruˇsiˇc-Scapellato graphs. Circulant graphs are examples of Cayley graphs of abelian groups. Thus, we generalise the approach used to determine the cores of the symmetric circulants of order pq, and apply it to other Cayley graphs of abelian groups. Doing this, we show that if Γ is a Cayley graph of an abelian group, then Aut(Γ∗) contains a transitive subgroup generated by semiregular automorphisms, and either Γ∗ is an odd cycle or girth(Γ∗) ≤ 4. -
Hamiltonian Cycles in Generalized Petersen Graphs Let N and K Be
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF COMBINATORIAL THEORY, Series B 24, 181-188 (1978) Hamiltonian Cycles in Generalized Petersen Graphs Kozo BANNAI Information Processing Research Center, Central Research Institute of Electric Power Industry, 1-6-I Ohternachi, Chiyoda-ku, Tokyo, Japan Communicated by the Managing Edirors Received March 5, 1974 Watkins (J. Combinatorial Theory 6 (1969), 152-164) introduced the concept of generalized Petersen graphs and conjectured that all but the original Petersen graph have a Tait coloring. Castagna and Prins (Pacific J. Math. 40 (1972), 53-58) showed that the conjecture was true and conjectured that generalized Petersen graphs G(n, k) are Hamiltonian unless isomorphic to G(n, 2) where n E S(mod 6). The purpose of this paper is to prove the conjecture of Castagna and Prins in the case of coprime numbers n and k. 1. INTRODUCTION Let n and k be coprime positive integers with k < n, i.e., (n, k) = 1. The generalized Petersengraph G(n, k) consistsof 2n vertices (0, 1, 2,..., n - 1; O’, l’,..., n - I’} and 3n edgesof the form (i, i + l), (i’, i + l’), (i, ik’) for 0 < i < n - 1, where all numbers are read modulo n. The set of edges ((i, i + 1)) and the set of edges((i’, i f l’)} are called the outer rim and the inner rim, respectively, and edges{(i, ik’)) are called spokes. Note that the above definition of generalized Petersen graphs differs from that of Watkins /4] and Castagna and Prins [2] in the numbering of the vertices. -
LEOBEN-LJUBLJANA GRAPH THEORY SEMINAR 2016 Dedicated to Norbert Seifter's 60Th Birthday Special Session on the Occasion Of
LEOBEN-LJUBLJANA GRAPH THEORY SEMINAR 2016 Dedicated to Norbert Seifter's 60th Birthday Special session on the occasion of Bojan Mohar's 60th Birthday 25th - 28th September 2016, Judenburg, Austria Supported by TU Graz, MU Leoben, Austrian Science Fund, Austrian Mathematical Society and the Town of Judenburg. Titles and abstracts Vladimir Batagelj (Ljubljana - Koper): Widespread index Abstract. On January 12, 2016 Clement Levallois posted at SocNet a message asking for a measure of how widespread is the distribution of a node attribute in a network. In the paper we propose and study two indices for measuring the widespread of a node attribute value in a network: the (simple) widespread index and the domination index. A com- putation of the proposed indices using the program Pajek is illustrated on two networks: the Class network and the US Airports network. Chris Godsil (Waterloo): Graph isomorphism and quantum walks Abstract. It has been suggested that graph isomorphism may be one of the problems that can be solved faster on a quantum computer than on a clasical computer. Conse- quently physicists have devoted some effort to find algorithms for graph isomorphism. I will report on work undertaken by me and my colleagues, using tools from graph spec- tral theory and finite geometry, to show that the algorithms proposed to date do not work. Veronica Hern´andezMartinez (Madrid): On the diameter, minimum and maximum degree and hyperbolicity constant Abstract. In this work, we obtain good upper bounds for the diameter of any graph in terms of its minimum degree and its order, improving a classical theorem due to Erd¨os, Pach, Pollack and Tuza.