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The AVD-Edge-Coloring Conjecture for Some Split Graphs
Matem´atica Contempor^anea, Vol. 44,1{10 c 2015, Sociedade Brasileira de Matem´atica The AVD-edge-coloring conjecture for some split graphs Alo´ısiode Menezes Vilas-B^oas C´eliaPicinin de Mello Abstract Let G be a simple graph. An adjacent vertex distinguishing edge- coloring (AVD-edge-coloring) of G is an edge-coloring of G such that for each pair of adjacent vertices u; v of G, the set of colors assigned to the edges incident with u differs from the set of colors assigned to the edges incident with v. The adjacent vertex distinguishing 0 chromatic index of G, denoted χa(G), is the minimum number of colors required to produce an AVD-edge-coloring for G. The AVD- edge-coloring conjecture states that every simple connected graph G ∼ 0 with at least three vertices and G =6 C5 has χa(G) ≤ ∆(G) + 2. The conjecture is open for arbitrary graphs, but it holds for some classes of graphs. In this note we focus on split graphs. We prove this AVD-edge- coloring conjecture for split-complete graphs and split-indifference graphs. 1 Introduction In this paper, G denotes a simple, undirected, finite, connected graph. The sets V (G) and E(G) are the vertex and edge sets of G. Let u; v 2 2000 AMS Subject Classification: 05C15. Key Words and Phrases: edge-coloring, adjacent strong edge-coloring, split graph. Supported by CNPq (132194/2010-4 and 308314/2013-1). The AVD-edge-coloring conjecture for some split graphs 2 V (G). We denote an edge by uv.A clique is a set of vertices pairwise adjacent in G and a stable set is a set of vertices such that no two of which are adjacent. -
Constrained Representations of Map Graphs and Half-Squares
Constrained Representations of Map Graphs and Half-Squares Hoang-Oanh Le Berlin, Germany [email protected] Van Bang Le Universität Rostock, Institut für Informatik, Rostock, Germany [email protected] Abstract The square of a graph H, denoted H2, is obtained from H by adding new edges between two distinct vertices whenever their distance in H is two. The half-squares of a bipartite graph B = (X, Y, EB ) are the subgraphs of B2 induced by the color classes X and Y , B2[X] and B2[Y ]. For a given graph 2 G = (V, EG), if G = B [V ] for some bipartite graph B = (V, W, EB ), then B is a representation of G and W is the set of points in B. If in addition B is planar, then G is also called a map graph and B is a witness of G [Chen, Grigni, Papadimitriou. Map graphs. J. ACM, 49 (2) (2002) 127-138]. While Chen, Grigni, Papadimitriou proved that any map graph G = (V, EG) has a witness with at most 3|V | − 6 points, we show that, given a map graph G and an integer k, deciding if G admits a witness with at most k points is NP-complete. As a by-product, we obtain NP-completeness of edge clique partition on planar graphs; until this present paper, the complexity status of edge clique partition for planar graphs was previously unknown. We also consider half-squares of tree-convex bipartite graphs and prove the following complexity 2 dichotomy: Given a graph G = (V, EG) and an integer k, deciding if G = B [V ] for some tree-convex bipartite graph B = (V, W, EB ) with |W | ≤ k points is NP-complete if G is non-chordal dually chordal and solvable in linear time otherwise. -
Theoretical Computer Science a Polynomial Solution to the K-Fixed
Theoretical Computer Science 411 (2010) 967–975 Contents lists available at ScienceDirect Theoretical Computer Science journal homepage: www.elsevier.com/locate/tcs A polynomial solution to the k-fixed-endpoint path cover problem on proper interval graphs Katerina Asdre, Stavros D. Nikolopoulos ∗ Department of Computer Science, University of Ioannina, P.O. Box 1186, GR-45110 Ioannina, Greece article info a b s t r a c t Article history: We study a variant of the path cover problem, namely, the k-fixed-endpoint path cover Received 29 January 2008 problem, or kPC for short. Given a graph G and a subset T of k vertices of V .G/, a k-fixed- Received in revised form 24 December 2008 endpoint path cover of G with respect to T is a set of vertex-disjoint paths P that covers Accepted 7 November 2009 the vertices of G such that the k vertices of T are all endpoints of the paths in P . The kPC Communicated by P. Spirakis problem is to find a k-fixed-endpoint path cover of G of minimum cardinality; note that, if T is empty (or, equivalently, k D 0), the stated problem coincides with the classical path Keywords: cover problem. The kPC problem generalizes some path cover related problems, such as Perfect graphs Proper interval graphs the 1HP and 2HP problems, which have been proved to be NP-complete. Note that the Path cover complexity status for both 1HP and 2HP problems on interval graphs remains an open Fixed-endpoint path cover question (Damaschke (1993) [9]). In this paper, we show that the kPC problem can be solved Linear-time algorithms in linear time on the class of proper interval graphs, that is, in O.n C m/ time on a proper interval graph on n vertices and m edges. -
An Upper Bound for Cubicity in Terms of Boxicity
An upper bound for Cubicity in terms of Boxicity L. Sunil Chandran ∗ K. Ashik Mathew † Abstract An axis-parallel b-dimensional box is a Cartesian product R1 × R2 × ... × Rb where each Ri (for 1 ≤ i ≤ b) is a closed interval of the form [ai,bi] on the real line. The boxicity of any graph G, box(G) is the minimum positive integer b such that G can be represented as the intersection graph of axis parallel b-dimensional boxes. A b-dimensional cube is a Cartesian product R1 × R2 × ... × Rb, where each Ri (for 1 ≤ i ≤ b) is a closed interval of the form [ai,ai+1] on the real line. When the boxes are restricted to be axis-parallel cubes in b-dimension, the minimum dimension b required to represent the graph is called the cubicity of the graph (denoted by cub(G)). In this paper we prove that cub(G) ≤⌈log n⌉box(G) where n is the number of vertices in the graph. We also show that this upper bound is tight. Keywords: Cubicity, Boxicity, Interval graph, Indifference graph 1 Introduction Let F = {Sx ⊆ U : x ∈ V } be a family of subsets of U, where V is an index set. The intersec- tion graph Ω(F) of F has V as vertex set, and two distinct vertices x and y are adjacent if and only if Sx ∩ Sy 6= ∅. Representations of graphs as the intersection graphs of various geometric objects is a well-studied area in graph theory. A prime example of a graph class defined in this way is the class of interval graphs. -
Discrete Applied Mathematics Complexity-Separating
Discrete Applied Mathematics 281 (2020) 162–171 Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam Complexity-separating graph classes for vertex, edge and total colouringI Celina M.H. de Figueiredo COPPE, Universidade Federal do Rio de Janeiro, Brazil article info a b s t r a c t Article history: Given a class A of graphs and a decision problem π belonging to NP, we say that a Received 24 April 2018 full complexity dichotomy of A was obtained if one describes a partition of A into Received in revised form 30 January 2019 subclasses such that π is classified as polynomial or NP-complete when restricted Accepted 22 February 2019 to each subclass. The concept of full complexity dichotomy is particularly interesting Available online 19 March 2019 for the investigation of NP-complete problems: as we partition a class A into NP- Keywords: complete subclasses and polynomial subclasses, it becomes clearer why the problem is Analysis of algorithms and problem NP-complete in A. The class C of graphs that do not contain a cycle with a unique chord complexity was studied by Trotignon and Vu²kovi¢ who proved a structure theorem which led to Graph algorithms solving the vertex-colouring problem in polynomial time. In the present survey, we apply Structural characterization of types of the structure theorem to study the complexity of edge-colouring and total-colouring, and graphs show that even for graph classes with strong structure and powerful decompositions, the edge-colouring problem may be difficult. We discuss several surprising complexity dichotomies found in subclasses of C, and the concepts of separating problem proposed by David S. -
Arxiv:2011.12369V2 [Cs.DM] 28 Jun 2021
Fiedler vector analysis for particular cases of connected graphs Daniel Felisberto Tracin´aFilho P´os-gradua¸c˜ao em Sistemas e Computa¸c˜ao - Instituto Militar de Engenharia [email protected] Claudia Marcela Justel P´os-gradua¸c˜ao em Sistemas e Computa¸c˜ao - Instituto Militar de Engenharia [email protected] Abstract In this paper, some subclasses of block graphs are considered in order to analyze Fiedler vector of its members. Two families of block graphs with cliques of fixed size, the block-path and block-starlike graphs, are an- alyzed. Cases A and B of classification for both families were considered, as well as the behavior of the algebraic connectivity when some vertices and edges are added for particular cases of block-path graphs. Keyword: spectral graph theory, Fiedler vector, algebraic connectivity, block graphs. 1 Introduction We consider G = (V, E) an undirected, unweighted and simple graph. The sizes of its sets of vertices and edges are |V | = n, |E| = m. The Laplacian matrix of a graph G, L(G), is the symmetric and semidefinite positive matrix D(G)−A(G), arXiv:2011.12369v2 [cs.DM] 28 Jun 2021 where D(G) is the diagonal matrix with the degrees of the vertices of G and A(G) is the adjacency matrix of G. The eigenvalues of L(G), the roots of the characteristic polynomial of L(G), are n non-negative real numbers, and zero is always an eigenvalue of L(G). We denote them as 0 = λ1 ≤ λ2 ≤ .... ≤ λn. The second smallest eigenvalue of L(G), λ2(G), is called the algebraic connectivity of G. -
Tree-Breadth of Graphs with Variants and Applications
Tree-Breadth of Graphs with Variants and Applications A dissertation submitted to Kent State University in partial fulfilment of the requirements for the degree of Doctor of Philosophy by Arne Leitert August 2017 Dissertation written by Arne Leitert Diplom, University of Rostock, 2012 Ph.D., Kent State University, 2017 Approved by Dr. Feodor F. Dragan , Chair, Doctoral Dissertation Committee Dr. Ruoming Jin , Members, Doctoral Dissertation Committee Dr. Ye Zhao , Dr. Artem Zvavitch , Dr. Lothar Reichel Accepted by Dr. Javed Khan , Chair, Department of Computer Science Dr. James L. Blank , Dean, College of Arts and Sciences Contents Contents iii List of Figures vi List of Tables vii 1 Introduction 1 1.1 Existing and Recent Results . .2 1.2 Outline . .3 2 Preliminaries 4 2.1 General Definitions . .4 2.2 Tree-Decompositions . .6 2.3 Layering Partitions . .7 2.4 Special Graph Classes . .8 3 Computing Decompositions with Small Breadth 12 3.1 Approximation Algorithms . 12 3.1.1 Layering Based Approaches . 13 3.1.2 Neighbourhood Based Approaches . 15 3.2 Strong Tree-Breadth . 20 3.2.1 NP-Completeness . 20 3.2.2 Polynomial Time Cases . 26 3.3 Computing Decompositions for Special Graph Classes . 31 iii 4 Connected r-Domination 38 4.1 Using a Layering Partition . 39 4.2 Using a Tree-Decomposition . 49 4.2.1 Preprocessing . 50 4.2.2 r-Domination . 53 4.2.3 Connected r-Domination . 55 4.3 Implications for the p-Center Problem . 63 5 Bandwidth and Line-Distortion 65 5.1 Existing Results . 66 5.2 k-Dominating Pairs . -
Arxiv:Cs/0607092V3 [Cs.DM] 26 Mar 2008 ⋆⋆ Let Introduction 1 Keywords: Ne E.Teitreto Graph Intersection the Set
Representing graphs as the intersection of axis-parallel cubes (Extended Abstract) L. Sunil Chandran, Mathew C. Francis ⋆, and Naveen Sivadasan ⋆⋆ Abstract. A unit cube in k dimensional space (or k-cube in short) is de- fined as the Cartesian product R1 ×R2 ×···×Rk where Ri(for 1 ≤ i ≤ k) is a closed interval of the form [ai,ai + 1] on the real line. A k-cube rep- resentation of a graph G is a mapping of the vertices of G to k-cubes such that two vertices in G are adjacent if and only if their correspond- ing k-cubes have a non-empty intersection. The cubicity of G, denoted as cub(G), is the minimum k such that G has a k-cube representation. Roberts [17] showed that for any graph G on n vertices, cub(G) ≤ 2n/3. Many NP-complete graph problems have polynomial time deterministic algorithms or have good approximation ratios in graphs of low cubicity. In most of these algorithms, computing a low dimensional cube repre- sentation of the given graph is usually the first step. From a geometric embedding point of view, a k-cube representation of k G = (V,E) yields an embedding f : V → R such that for any two vertices u and v, ||f(u) − f(v)||∞ ≤ 1 if and only if (u, v) ∈ E. We present an efficient algorithm to compute the k-cube representation of G with maximum degree ∆ in O(∆ ln n) dimensions. We then further strengthen this bound by giving an algorithm that produces a k-cube representation of a given graph G with maximum degree ∆ in O(∆ ln b) dimensions where b is the bandwidth of G. -
More Results on Interval Digraphs, Base Interval Digraphs and Containment.·
MORE RESULTS ON INTERVAL DIGRAPHS, BASE INTERVAL DIGRAPHS AND CONTAINMENT.· .. DIGRAPHS By ASHOK KUMAR DAS A THESIS SUBMITTED TO THE UNIVERSITY OF NORTH BENGAL FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (SCIENCE) 2000 ·~ ~~lh..-:-• •,.~.')·~-.-~VM,/ ' IP ............... Libt-~1;( STOCKTAI{ING~2011/ 148359 Acknowledgements I sincere{y ~ress my gratitude to my teacher ana Sf91ervisor Pr'!f M. Sen, whose assiduous nurturing, inpiration ana_patience is main{y reponsib(e for the conp(etion ~f this d"issertation. I take tfiir qpyortunity to ~ress my gratitude to Prtf. D. B. West tj I((inois _University, USA. ~ecia[ thanks are afso aue to Sanap Das 1ISI, Cafcutta. Actuaffy tfie text in chtpter 2 is the outcome tfa common work with them. It isyfea~ure to adCnow(eage my inaehtedness to Pr'!f F. R. McMorris tj University tj Louisvi((e, USA ana Pr'!f E. Prisner 1 University 1 Hamburg, Gennany jor their he[pjuf comments. I owe a pecia( aeht 1 gratituae to H. Mu((er, Fr-Schi((er-Univesity, Jena, Germany jor send"ing a yr91rint which motivatea me to_fina out tfie resufts tj chtyJter 3. Thanks are aue to P.K. Saha anaP. K. Ghosh tjNortfi Benga(Universityjor their encouragement. Many thanks are afso aue to Bhaskar Pa( ana emyfoyees 1 Charufata Enteryrisejor their rtpia and accurate f!J.ping under trying circumstances. Last{y, I thank my wjfe, son atzaptfier jamify memhl!S jor their Sf91_pOrt ana encouragement through out my fong researc~ y~o~~~ . '· Ashok Kumar Das Dept of Mathematics Hooghly Mohsin College Chinsurah, Hooghly CONTENTS CHAPTER I INTRODUCTION -
Variations Ofy-Dominating Functions on Graphs
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 308 (2008) 4185–4204 www.elsevier.com/locate/disc Variations of Y-dominating functions on graphsଁ Chuan-Min Lee, Maw-Shang Chang∗ Department of Computer Science and Information Engineering, National Chung Cheng University, Ming-Hsiung, Chiayi 621, Taiwan, ROC Received 8 May 2006; received in revised form 28 July 2007; accepted 3 August 2007 Available online 1 October 2007 Abstract Let Y be a subset of real numbers. A Y-dominating function of a graph G = (V, E) is a function f : V → Y such that f (u)1 for all vertices v ∈ V , where N [v]={v}∪{u|(u, v) ∈ E}. Let f(S)= f (u) for any subset S of V and let u∈NG[v] G u∈S f(V)be the weight of f. The Y-domination problem is to find a Y-dominating function of minimum weight for a graph G = (V, E). In this paper, we study the variations of Y-domination such as {k}-domination, k-tuple domination, signed domination, and minus domination for some classes of graphs. We give formulas to compute the {k}-domination, k-tuple domination, signed domination, and minus domination numbers of paths, cycles, n-fans, n-wheels, n-pans, and n-suns. Besides, we present a unified approach to these four problems on strongly chordal graphs. Notice that trees, block graphs, interval graphs, and directed path graphs are subclasses of strongly chordal graphs. This paper also gives complexity results for the problems on doubly chordal graphs, dually chordal graphs, bipartite planar graphs, chordal bipartite graphs, and planar graphs. -
Contributions of Jayme Luiz Szwarcfiter to Graph Theory And
J Braz Comput Soc (2012) 18:153–165 DOI 10.1007/s13173-011-0054-2 ORIGINAL PAPER Contributions of Jayme Luiz Szwarcfiter to graph theory and computer science Cláudio Leonardo Lucchesi Received: 19 December 2011 / Accepted: 23 December 2011 / Published online: 25 January 2012 © The Brazilian Computer Society 2012 Abstract This is an account of Jayme’s contributions to followed by the affiliation, and I quote: Universidade Fed- graph theory and computer science. Due to restrictions in eral do Rio de Janeiro, Argentina. length, it is not possible to provide an in-depth coverage of I must say that the elegance and simplicity of the pa- every aspect of Jayme’s extensive scientific activities. Thus, per was worth the irritation. There was also the added plea- I describe in detail only some of his principal contributions, sure of seeing a Brazilian publishing a paper with Knuth. As touch upon some, and merely list the other articles. you know, Knuth is one of the most illustrious researchers I found it easier to write the article in the first person, as in computer science. Almost 20 years later, in 1992, Knuth though it is an account of a previously given lecture. wrote a book entitled Literate Programming [29]. Chapter 3 of this book contains a reproduction of the original article. Keywords Graph theory · Computer science · Computer This paper was one of Jayme’s first contributions to make science in Latin America Brazil better known abroad. Since then, Jayme has pro- duced a significant number of papers, some of which, like the paper mentioned above, are milestones in the history of 1 Mucho Gusto en Conocerlo Brazilian science. -
Counting Perfect Matchings and the Switch Chain
This is a repository copy of Counting Perfect Matchings and the Switch Chain. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/137388/ Version: Accepted Version Article: Dyer, M orcid.org/0000-0002-2018-0374 and Muller, H orcid.org/0000-0002-1123-1774 (2019) Counting Perfect Matchings and the Switch Chain. SIAM Journal on Discrete Mathematics, 33 (3). pp. 1146-1174. ISSN 0895-4801 https://doi.org/10.1137/18M1172910 © 2019, Society for Industrial and Applied Mathematics. This is an author produced version of an article published in SIAM Journal on Discrete Mathematics. Uploaded in accordance with the publisher's self-archiving policy. Reuse See Attached Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ COUNTING PERFECT MATCHINGS AND THE SWITCH CHAIN∗ MARTIN DYER† AND HAIKO MULLER¨ ‡ Abstract. We examine the problem of exactly or approximately counting all perfect matchings in hereditary classes of nonbipartite graphs. In particular, we consider the switch Markov chain of Diaconis, Graham and Holmes. We determine the largest hereditary class for which the chain is ergodic, and define a large new hereditary class of graphs for which it is rapidly mixing. We go on to show that the chain has exponential mixing time for a slightly larger class. We also examine the question of ergodicity of the switch chain in an arbitrary graph.