Partially Metric Association Schemes with a Multiplicity Three
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A Theory of Well-Connected Relations 99
INFORMA TION SCIENCES 19, 97- 134 (1979) 97 A Theory of Well-conwcted Relations SUDHIR K. ARORA and K. C. SMITH Lkpartment of Conputer Science, Uniwrsity of Toronto, Toronto, Cuna& MSS IA7 Communicated by John M. Richardson ABSTRACT The simple concept of a well-connected relation (WCR) is defined and then developed into a theory for studying the structure of binary relations. Several interesting partitions of a binary relation are identified. It is shown that binary relations can be separated into families which form a hierarchy. Finally, concepts of universal algebra are extended to the family of “prime” relations. One application for the theory is in the logical design of data bases. INTRODUCTION Data in an information system have been studied from several points of view [2, 4, 9, 10, Ill. With the growing interest in data base systems, the possibility for structuring the data in various ways has been explored by several authors. For example, Delobel [9] defines “elementary functional relations” and proposes a theory based on this building block; Zaniolo [lo] defines “atomic relations” as a basic building block for data; Furtado and Kerschberg [ 1 l] have “quotient relations.” Further, many authors have noted and studied specific data structures, such as “functional dependencies” [4], “multivalued dependencies” [5], “contextual dependencies” [6], “mutual de- pendencies” [12] (which happen to be same as contextual dependencies), and “hierarchical dependencies” [ 131. In this paper we define a new building block, “well-connected relations,” and propose a theory to study binary relations. Elsewhere [6] we have applied this theory to the study of dependency structures of data. -
Automorphisms of the Double Cover of a Circulant Graph of Valency at Most 7
AUTOMORPHISMS OF THE DOUBLE COVER OF A CIRCULANT GRAPH OF VALENCY AT MOST 7 ADEMIR HUJDUROVIC,´ ¯DOR¯DE MITROVIC,´ AND DAVE WITTE MORRIS Abstract. A graph X is said to be unstable if the direct product X × K2 (also called the canonical double cover of X) has automorphisms that do not come from automorphisms of its factors X and K2. It is nontrivially unstable if it is unstable, connected, and non-bipartite, and no two distinct vertices of X have exactly the same neighbors. We find all of the nontrivially unstable circulant graphs of valency at most 7. (They come in several infinite families.) We also show that the instability of each of these graphs is explained by theorems of Steve Wilson. This is best possible, because there is a nontrivially unstable circulant graph of valency 8 that does not satisfy the hypotheses of any of Wilson's four instability theorems for circulant graphs. 1. Introduction Let X be a circulant graph. (All graphs in this paper are finite, simple, and undirected.) Definition 1.1 ([16]). The canonical bipartite double cover of X is the bipartite graph BX with V (BX) = V (X) 0; 1 , where × f g (v; 0) is adjacent to (w; 1) in BX v is adjacent to w in X: () Letting S2 be the symmetric group on the 2-element set 0; 1 , it is clear f g that the direct product Aut X S2 is a subgroup of Aut BX. We are interested in cases where this subgroup× is proper: Definition 1.2 ([12, p. -
Drawing Graphs and Maps with Curves
Report from Dagstuhl Seminar 13151 Drawing Graphs and Maps with Curves Edited by Stephen Kobourov1, Martin Nöllenburg2, and Monique Teillaud3 1 University of Arizona – Tucson, US, [email protected] 2 KIT – Karlsruhe Institute of Technology, DE, [email protected] 3 INRIA Sophia Antipolis – Méditerranée, FR, [email protected] Abstract This report documents the program and the outcomes of Dagstuhl Seminar 13151 “Drawing Graphs and Maps with Curves”. The seminar brought together 34 researchers from different areas such as graph drawing, information visualization, computational geometry, and cartography. During the seminar we started with seven overview talks on the use of curves in the different communities represented in the seminar. Abstracts of these talks are collected in this report. Six working groups formed around open research problems related to the seminar topic and we report about their findings. Finally, the seminar was accompanied by the art exhibition Bending Reality: Where Arc and Science Meet with 40 exhibits contributed by the seminar participants. Seminar 07.–12. April, 2013 – www.dagstuhl.de/13151 1998 ACM Subject Classification I.3.5 Computational Geometry and Object Modeling, G.2.2 Graph Theory, F.2.2 Nonnumerical Algorithms and Problems Keywords and phrases graph drawing, information visualization, computational cartography, computational geometry Digital Object Identifier 10.4230/DagRep.3.4.34 Edited in cooperation with Benjamin Niedermann 1 Executive Summary Stephen Kobourov Martin Nöllenburg Monique Teillaud License Creative Commons BY 3.0 Unported license © Stephen Kobourov, Martin Nöllenburg, and Monique Teillaud Graphs and networks, maps and schematic map representations are frequently used in many fields of science, humanities and the arts. -
Sets, Relations, Pos and Lattices
Contents 1 Discrete structures F TECHN O OL E O T G U Y IT K T H S A N R I A N G A P I U D R N I 19 51 yog, km s kOflm^ Chittaranjan Mandal (IIT Kharagpur) SCLD January 21, 2020 1 / 23 Discrete structures Section outline Lattices (contd.) Boolean lattice 1 Discrete structures Boolean lattice structure Sets Boolean algebra Relations Additional Boolean algebra Lattices properties F TECHN O OL E O T G U Y IT K T H S A N R I A N G A P I U D R N I 19 51 yog, km s kOflm^ Chittaranjan Mandal (IIT Kharagpur) SCLD January 21, 2020 2 / 23 S = fXjX 62 Xg S 2 S? [Russell’s paradox] Set union: A [ B A B Set intersection: A \ B A B U Complement: S A Set difference: A − B = A \ B A B + Natural numbers: N = f0; 1; 2; 3;:::g or f1; 2; 3;:::g = Z Integers: Z = f:::; −3; −2; −1; 0; 1; 2; 3;:::g Universal set: U Empty set: ? = fg Discrete structures Sets Sets A set A of elements: A = fa; b; cg F TECHN O OL E O T G U Y IT K T H S A N R I A N G A P I U D R N I 19 51 yog, km s kOflm^ Chittaranjan Mandal (IIT Kharagpur) SCLD January 21, 2020 3 / 23 S = fXjX 62 Xg S 2 S? [Russell’s paradox] Set union: A [ B A B Set intersection: A \ B A B U Complement: S A Set difference: A − B = A \ B A B Integers: Z = f:::; −3; −2; −1; 0; 1; 2; 3;:::g Universal set: U Empty set: ? = fg Discrete structures Sets Sets A set A of elements: A = fa; b; cg + Natural numbers: N = f0; 1; 2; 3;:::g or f1; 2; 3;:::g = Z F TECHN O OL E O T G U Y IT K T H S A N R I A N G A P I U D R N I 19 51 yog, km s kOflm^ Chittaranjan Mandal (IIT Kharagpur) SCLD January 21, 2020 3 / 23 S = fXjX -
Graph Operations and Upper Bounds on Graph Homomorphism Counts
Graph Operations and Upper Bounds on Graph Homomorphism Counts Luke Sernau March 9, 2017 Abstract We construct a family of countexamples to a conjecture of Galvin [5], which stated that for any n-vertex, d-regular graph G and any graph H (possibly with loops), n n d d hom(G, H) ≤ max hom(Kd,d,H) 2 , hom(Kd+1,H) +1 , n o where hom(G, H) is the number of homomorphisms from G to H. By exploiting properties of the graph tensor product and graph exponentiation, we also find new infinite families of H for which the bound stated above on hom(G, H) holds for all n-vertex, d-regular G. In particular we show that if HWR is the complete looped path on three vertices, also known as the Widom-Rowlinson graph, then n d hom(G, HWR) ≤ hom(Kd+1,HWR) +1 for all n-vertex, d-regular G. This verifies a conjecture of Galvin. arXiv:1510.01833v3 [math.CO] 8 Mar 2017 1 Introduction Graph homomorphisms are an important concept in many areas of graph theory. A graph homomorphism is simply an adjacency-preserving map be- tween a graph G and a graph H. That is, for given graphs G and H, a function φ : V (G) → V (H) is said to be a homomorphism from G to H if for every edge uv ∈ E(G), we have φ(u)φ(v) ∈ E(H) (Here, as throughout, all graphs are simple, meaning without multi-edges, but they are permitted 1 to have loops). -
On the Metric Dimension of Imprimitive Distance-Regular Graphs
On the metric dimension of imprimitive distance-regular graphs Robert F. Bailey Abstract. A resolving set for a graph Γ is a collection of vertices S, cho- sen so that for each vertex v, the list of distances from v to the members of S uniquely specifies v. The metric dimension of Γ is the smallest size of a resolving set for Γ. Much attention has been paid to the metric di- mension of distance-regular graphs. Work of Babai from the early 1980s yields general bounds on the metric dimension of primitive distance- regular graphs in terms of their parameters. We show how the metric dimension of an imprimitive distance-regular graph can be related to that of its halved and folded graphs, but also consider infinite families (including Taylor graphs and the incidence graphs of certain symmetric designs) where more precise results are possible. Mathematics Subject Classification (2010). Primary 05E30; Secondary 05C12. Keywords. Metric dimension; resolving set; distance-regular graph; imprimitive; halved graph; folded graph; bipartite double; Taylor graph; incidence graph. 1. Introduction Let Γ = (V; E) be a finite, undirected graph without loops or multiple edges. For u; v 2 V , the distance from u to v is the least number of edges in a path from u to v, and is denoted dΓ(u; v) (or simply d(u; v) if Γ is clear from the context). A resolving set for a graph Γ = (V; E) is a set of vertices R = fv1; : : : ; vkg such that for each vertex w 2 V , the list of distances (d(w; v1);:::; d(w; vk)) uniquely determines w. -
LDPC Codes from Voltage Graphs
ISIT 2008, Toronto, Canada, July 6 - 11, 2008 LDPC codes from voltage graphs Christine A. Kelley Judy L. Walker Department of Mathematics Department of Mathematics University of Nebraska-Lincoln University of Nebraska–Lincoln Lincoln, NE 68588, USA. Lincoln, NE 68588, USA. Email: [email protected] Email: [email protected] Abstract— Several well-known structure-based constructions we review the terminology of voltage graphs. In Section III, of LDPC codes, for example codes based on permutation and we show how graph-based codes can be obtained algebraically circulant matrices and in particular, quasi-cyclic LDPC codes, from voltage graphs, and illustrate this using the Sridhara- can be interpreted via algebraic voltage assignments. We explain this connection and show how this idea from topological graph Fuja-Tanner (SFT) LDPC codes and array-based LDPC codes theory can be used to give simple proofs of many known as examples. In Section IV, the notion of abelian-inevitable properties of these codes. In addition, the notion of abelian- cycles is introduced and the isomorphism classes of subgraphs inevitable cycle is introduced and the subgraphs giving rise to (or equivalently, matrix substructures) that give rise to these these cycles are classified. We also indicate how, by using more cycles in the LDPC Tanner graph are identified and classified. sophisticated voltage assignments, new classes of good LDPC codes may be obtained. The results presented here correct a result used in [16], [20], and, subsequently, extend the work from [16]. Ongoing work I. INTRODUCTION addressing how this method may be used to construct new Graph-based codes have attracted widespread interest due families of LDPC and other graph-based codes is outlined in to their efficient decoding algorithms and remarkable perfor- Section V. -
Vertex-Transitive Graphs That Have No Hamilton Decomposition
Vertex-transitive graphs that have no Hamilton decomposition Darryn Bryant ∗ Matthew Dean † Abstract It is shown that there are infinitely many connected vertex-transitive graphs that have no Hamilton decomposition, including infinitely many Cayley graphs of valency 6, and including Cayley graphs of arbitrarily large valency. 1 Introduction A famous question of Lov´asz concerns the existence of Hamilton paths in vertex-transitive graphs [28], and no example of a connected vertex-transitive graph with no Hamilton path is known. The related question concerning the existence of Hamilton cycles in vertex-transitive graphs is another interesting and well-studied problem in graph theory, see the survey [23]. A Hamiltonian graph is a graph containing a Hamilton cycle. Thomassen (see [10, 23]) has conjectured that there are only finitely many non-Hamiltonian connected vertex-transitive graphs. On the other hand, Babai [8, 9] has conjectured that there are infinitely many such graphs. To date only five are known. These arXiv:1408.5211v3 [math.CO] 12 Nov 2014 are the complete graph of order 2, the Petersen graph, the Coxeter graph, and the two graphs obtained from the Petersen and Coxeter graphs by replacing each vertex with a triangle. For a regular graph of valency at least 4, a stronger property than the existence of a Hamilton cycle is the existence of a Hamilton decomposition. If X is a k-valent graph, then a Hamilton k decomposition of X is a set of ⌊ 2 ⌋ pairwise edge-disjoint Hamilton cycles in X. Given the small number of non-Hamiltonian connected vertex-transitive graphs, and the uncertainty concerning the existence of others, it is natural to ask how many connected vertex-transitive graphs have no Hamilton decomposition. -
Lombardi Drawings of Graphs 1 Introduction
Lombardi Drawings of Graphs Christian A. Duncan1, David Eppstein2, Michael T. Goodrich2, Stephen G. Kobourov3, and Martin Nollenburg¨ 2 1Department of Computer Science, Louisiana Tech. Univ., Ruston, Louisiana, USA 2Department of Computer Science, University of California, Irvine, California, USA 3Department of Computer Science, University of Arizona, Tucson, Arizona, USA Abstract. We introduce the notion of Lombardi graph drawings, named after the American abstract artist Mark Lombardi. In these drawings, edges are represented as circular arcs rather than as line segments or polylines, and the vertices have perfect angular resolution: the edges are equally spaced around each vertex. We describe algorithms for finding Lombardi drawings of regular graphs, graphs of bounded degeneracy, and certain families of planar graphs. 1 Introduction The American artist Mark Lombardi [24] was famous for his drawings of social net- works representing conspiracy theories. Lombardi used curved arcs to represent edges, leading to a strong aesthetic quality and high readability. Inspired by this work, we intro- duce the notion of a Lombardi drawing of a graph, in which edges are drawn as circular arcs with perfect angular resolution: consecutive edges are evenly spaced around each vertex. While not all vertices have perfect angular resolution in Lombardi’s work, the even spacing of edges around vertices is clearly one of his aesthetic criteria; see Fig. 1. Traditional graph drawing methods rarely guarantee perfect angular resolution, but poor edge distribution can nevertheless lead to unreadable drawings. Additionally, while some tools provide options to draw edges as curves, most rely on straight-line edges, and it is known that maintaining good angular resolution can result in exponential draw- ing area for straight-line drawings of planar graphs [17,25]. -
Use the K-Neighborhood Subgraphs to Compute Canonical Labelings of Graphs
mathematics Article Use the K-Neighborhood Subgraphs to Compute Canonical Labelings of Graphs Jianqiang Hao 1,*, Yunzhan Gong 2, Jianzhi Sun 1 and Li Tan 1 1 Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, No. 11, Fu Cheng Road, Beijing 100048, China 2 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, No 10, Xitucheng Road, Haidian District, Beijing 100876, China * Correspondence: [email protected]; Tel.: +86-10-6898-5704 Received: 5 July 2019; Accepted: 27 July 2019; Published: 31 July 2019 Abstract: This paper puts forward an innovative theory and method to calculate the canonical labelings of graphs that are distinct to Nauty’s. It shows the correlation between the canonical labeling of a graph and the canonical labeling of its complement graph. It regularly examines the link between computing the canonical labeling of a graph and the canonical labeling of its open k-neighborhood subgraph . It defines dif fusion degree sequences and entire dif fusion degree sequence . For each node of a graph G, it designs a characteristic m_NearestNode to improve the precision for calculating canonical labeling. Two theorems established here display how to compute the first nodes of MaxQ(G). Another theorem presents how to determine the second nodes of MaxQ(G). When computing Cmax(G), if MaxQ(G) already holds the first i nodes u1, u2, ··· , ui, Diffusion and Nearest Node theorems provide skill on how to pick the succeeding node of MaxQ(G). Further, it also establishes two theorems to determine the Cmax(G) of disconnected graphs. -
The Operations Invariant Properties on Graphs Yanzhong Hu, Gang
International Conference on Education Technology and Information System (ICETIS 2013) The Operations Invariant Properties on Graphs Yanzhong Hu, Gang Cheng School of Computer Science, Hubei University of Technology, Wuhan, 430068, China [email protected], [email protected] Keywords:Invariant property; Hamilton cycle; Cartesian product; Tensor product Abstract. To determine whether or not a given graph has a Hamilton cycle (or is a planar graph), defined the operations invariant properties on graphs, and discussed the various forms of the invariant properties under the circumstance of Cartesian product graph operation and Tensor product graph operation. The main conclusions include: The Hamiltonicity of graph is invariant concerning the Cartesian product, and the non-planarity of the graph is invariant concerning the tensor product. Therefore, when we applied these principles into practice, we testified that Hamilton cycle does exist in hypercube and the Desargues graph is a non-planarity graph. INTRODUCTION The Planarity, Eulerian feature, Hamiltonicity, bipartite property, spectrum, and so on, is often overlooked for a given graph. The traditional research method adopts the idea of direct proof. In recent years, indirect proof method is put forward, (Fang Xie & Yanzhong Hu, 2010) proves non- planarity of the Petersen graph, by use the non-planarity of K3,3, i.e., it induces the properties of the graph G with the properties of the graph H, here H is a sub-graph of G. However, when it comes to induce the other properties, the result is contrary to what we expect. For example, Fig. 1(a) is a Hamiltonian graph which is a sub-graph of Fig. -
Not Every Bipartite Double Cover Is Canonical
Volume 82 BULLETIN of the February 2018 INSTITUTE of COMBINATORICS and its APPLICATIONS Editors-in-Chief: Marco Buratti, Donald Kreher, Tran van Trung Boca Raton, FL, U.S.A. ISSN1182-1278 BULLETIN OF THE ICA Volume 82 (2018), Pages 51{55 Not every bipartite double cover is canonical Tomaˇz Pisanski University of Primorska, FAMNIT, Koper, Slovenia and IMFM, Ljubljana, Slovenia. [email protected]. Abstract: It is explained why the term bipartite double cover should not be used to designate canonical double cover alias Kronecker cover of graphs. Keywords: Kronecker cover, canonical double cover, bipartite double cover, covering graphs. Math. Subj. Class. (2010): 05C76, 05C10. It is not uncommon to use different terminology or notation for the same mathematical concept. There are several reasons for such a phenomenon. Authors independently discover the same object and have to name it. It is• quite natural that they choose different names. Sometimes the same concept appears in different mathematical schools or in• different disciplines. By using particular terminology in a given context makes understanding of such a concept much easier. Sometimes original terminology is not well-chosen, not intuitive and it is difficult• to relate the name of the object to its meaning. A name that is more appropriate for a given concept is preferred. One would expect terminology to be as simple as possible, and as easy to connect it to the concept as possible. However, it should not be too simple. Received: 8 October 2018 51 Accepted: 21 January 2018 In other words it should not introduce ambiguity. Unfortunately, the term bipartite double cover that has been used lately in several places to replace an older term canonical double cover, also known as the Kronecker cover, [1,4], is ambiguous.