Discrete Mathematics on Circle Graphs with Girth at Least Five
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On the Cycle Double Cover Problem
On The Cycle Double Cover Problem Ali Ghassâb1 Dedicated to Prof. E.S. Mahmoodian Abstract In this paper, for each graph , a free edge set is defined. To study the existence of cycle double cover, the naïve cycle double cover of have been defined and studied. In the main theorem, the paper, based on the Kuratowski minor properties, presents a condition to guarantee the existence of a naïve cycle double cover for couple . As a result, the cycle double cover conjecture has been concluded. Moreover, Goddyn’s conjecture - asserting if is a cycle in bridgeless graph , there is a cycle double cover of containing - will have been proved. 1 Ph.D. student at Sharif University of Technology e-mail: [email protected] Faculty of Math, Sharif University of Technology, Tehran, Iran 1 Cycle Double Cover: History, Trends, Advantages A cycle double cover of a graph is a collection of its cycles covering each edge of the graph exactly twice. G. Szekeres in 1973 and, independently, P. Seymour in 1979 conjectured: Conjecture (cycle double cover). Every bridgeless graph has a cycle double cover. Yielded next data are just a glimpse review of the history, trend, and advantages of the research. There are three extremely helpful references: F. Jaeger’s survey article as the oldest one, and M. Chan’s survey article as the newest one. Moreover, C.Q. Zhang’s book as a complete reference illustrating the relative problems and rather new researches on the conjecture. A number of attacks, to prove the conjecture, have been happened. Some of them have built new approaches and trends to study. -
Domination in Circle Graphs
Circles graphs Dominating set Some positive results Open Problems Domination in circle graphs Nicolas Bousquet Daniel Gon¸calves George B. Mertzios Christophe Paul Ignasi Sau St´ephanThomass´e WG 2012 Domination in circle graphs Circles graphs Dominating set Some positive results Open Problems 1 Circles graphs 2 Dominating set 3 Some positive results 4 Open Problems Domination in circle graphs W [1]-hardness Under some algorithmic hypothesis, the W [1]-hard problems do not admit FPT algorithms. Circles graphs Dominating set Some positive results Open Problems Parameterized complexity FPT A problem parameterized by k is FPT (Fixed Parameter Tractable) iff it admits an algorithm which runs in time Poly(n) · f (k) for any instances of size n and of parameter k. Domination in circle graphs Circles graphs Dominating set Some positive results Open Problems Parameterized complexity FPT A problem parameterized by k is FPT (Fixed Parameter Tractable) iff it admits an algorithm which runs in time Poly(n) · f (k) for any instances of size n and of parameter k. W [1]-hardness Under some algorithmic hypothesis, the W [1]-hard problems do not admit FPT algorithms. Domination in circle graphs Circles graphs Dominating set Some positive results Open Problems Circle graphs Circle graph A circle graph is a graph which can be represented as an intersection graph of chords in a circle. 3 3 4 2 5 4 2 6 1 1 5 7 7 6 Domination in circle graphs Independent dominating sets. Connected dominating sets. Total dominating sets. All these problems are NP-complete. Circles graphs Dominating set Some positive results Open Problems Dominating set 3 4 5 2 6 1 7 Dominating set Set of chords which intersects all the chords of the graph. -
Large Girth Graphs with Bounded Diameter-By-Girth Ratio 3
LARGE GIRTH GRAPHS WITH BOUNDED DIAMETER-BY-GIRTH RATIO GOULNARA ARZHANTSEVA AND ARINDAM BISWAS Abstract. We provide an explicit construction of finite 4-regular graphs (Γk)k∈N with girth Γk k → ∞ as k and diam Γ 6 D for some D > 0 and all k N. For each dimension n > 2, we find a → ∞ girth Γk ∈ pair of matrices in SLn(Z) such that (i) they generate a free subgroup, (ii) their reductions mod p generate SLn(Fp) for all sufficiently large primes p, (iii) the corresponding Cayley graphs of SLn(Fp) have girth at least cn log p for some cn > 0. Relying on growth results (with no use of expansion properties of the involved graphs), we observe that the diameter of those Cayley graphs is at most O(log p). This gives infinite sequences of finite 4-regular Cayley graphs as in the title. These are the first explicit examples in all dimensions n > 2 (all prior examples were in n = 2). Moreover, they happen to be expanders. Together with Margulis’ and Lubotzky-Phillips-Sarnak’s classical con- structions, these new graphs are the only known explicit large girth Cayley graph expanders with bounded diameter-by-girth ratio. 1. Introduction The girth of a graph is the edge-length of its shortest non-trivial cycle (it is assigned to be infinity for an acyclic graph). The diameter of a graph is the greatest edge-length distance between any pair of its vertices. We regard a graph Γ as a sequence of its connected components Γ = (Γk)k∈N each of which is endowed with the edge-length distance. -
Girth in Graphs
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 35, 129-141 (1983) Girth in Graphs CARSTEN THOMASSEN Mathematical institute, The Technicai University oJ Denmark, Building 303, Lyngby DK-2800, Denmark Communicated by the Editors Received March 31, 1983 It is shown that a graph of large girth and minimum degree at least 3 share many properties with a graph of large minimum degree. For example, it has a contraction containing a large complete graph, it contains a subgraph of large cyclic vertex- connectivity (a property which guarantees, e.g., that many prescribed independent edges are in a common cycle), it contains cycles of all even lengths module a prescribed natural number, and it contains many disjoint cycles of the same length. The analogous results for graphs of large minimum degree are due to Mader (Math. Ann. 194 (1971), 295-312; Abh. Math. Sem. Univ. Hamburg 31 (1972), 86-97), Woodall (J. Combin. Theory Ser. B 22 (1977), 274-278), Bollobis (Bull. London Math. Sot. 9 (1977), 97-98) and Hlggkvist (Equicardinal disjoint cycles in sparse graphs, to appear). Also, a graph of large girth and minimum degree at least 3 has a cycle with many chords. An analogous result for graphs of chromatic number at least 4 has been announced by Voss (J. Combin. Theory Ser. B 32 (1982), 264-285). 1, INTRODUCTION Several authors have establishedthe existence of various configurations in graphs of sufficiently large connectivity (independent of the order of the graph) or, more generally, large minimum degree (see, e.g., [2, 91). -
Computing the Girth of a Planar Graph in Linear Time∗
Computing the Girth of a Planar Graph in Linear Time∗ Hsien-Chih Chang† Hsueh-I Lu‡ April 22, 2013 Abstract The girth of a graph is the minimum weight of all simple cycles of the graph. We study the problem of determining the girth of an n-node unweighted undirected planar graph. The first non-trivial algorithm for the problem, given by Djidjev, runs in O(n5/4 log n) time. Chalermsook, Fakcharoenphol, and Nanongkai reduced the running time to O(n log2 n). Weimann and Yuster further reduced the running time to O(n log n). In this paper, we solve the problem in O(n) time. 1 Introduction Let G be an edge-weighted simple graph, i.e., G does not contain multiple edges and self- loops. We say that G is unweighted if the weight of each edge of G is one. A cycle of G is simple if each node and each edge of G is traversed at most once in the cycle. The girth of G, denoted girth(G), is the minimum weight of all simple cycles of G. For instance, the girth of each graph in Figure 1 is four. As shown by, e.g., Bollobas´ [4], Cook [12], Chandran and Subramanian [10], Diestel [14], Erdos˝ [21], and Lovasz´ [39], girth is a fundamental combinatorial characteristic of graphs related to many other graph properties, including degree, diameter, connectivity, treewidth, and maximum genus. We address the problem of computing the girth of an n-node graph. Itai and Rodeh [28] gave the best known algorithm for the problem, running in time O(M(n) log n), where M(n) is the time for multiplying two n × n matrices [13]. -
Coloring Clean and K4-Free Circle Graphs 401
Coloring Clean and K4-FreeCircleGraphs Alexandr V. Kostochka and Kevin G. Milans Abstract A circle graph is the intersection graph of chords drawn in a circle. The best-known general upper bound on the chromatic number of circle graphs with clique number k is 50 · 2k. We prove a stronger bound of 2k − 1 for graphs in a simpler subclass of circle graphs, called clean graphs. Based on this result, we prove that the chromatic number of every circle graph with clique number at most 3 is at most 38. 1 Introduction Recall that the chromatic number of a graph G, denoted χ(G), is the minimum size of a partition of V(G) into independent sets. A clique is a set of pairwise adjacent vertices, and the clique number of G, denoted ω(G), is the maximum size of a clique in G. Vertices in a clique must receive distinct colors, so χ(G) ≥ ω(G) for every graph G. In general, χ(G) cannot be bounded above by any function of ω(G). Indeed, there are triangle-free graphs with arbitrarily large chromatic number [4, 18]. When graphs have additional structure, it may be possible to bound the chromatic number in terms of the clique number. A family of graphs G is χ-bounded if there is a function f such that χ(G) ≤ f (ω(G)) for each G ∈G. Some families of intersection graphs of geometric objects have been shown to be χ-bounded (see e.g. [8,11,12]). Recall that the intersection graph of a family of sets has a vertex A.V. -
Open Problems on Graph Drawing
Open problems on Graph Drawing Alexandros Angelopoulos Corelab E.C.E - N.T.U.A. February 17, 2014 Outline Introduction - Motivation - Discussion Variants of thicknesses Thickness Geometric thickness Book thickness Bounds Complexity Related problems & future work 2/ Motivation: Air Traffic Management Separation -VerticalVertical - Lateral - Longitudinal 3/ Motivation: Air Traffic Management : Maximization of \free flight” airspace c d c d X f f i1 i4 i0 i2 i3 i5 e e Y a b a b 8 Direct-to flight (as a choice among \free flight") increases the complexity of air traffic patterns Actually... 4 Direct-to flight increases the complexity of air traffic patterns and we have something to study... 4/ Motivation: Air Traffic Management 5/ How to model? { Graph drawing & thicknesses Geometric thickness (θ¯) Book thickness (bt) Dillencourt et al. (2000) Bernhart and Kainen (1979) : only straight lines : convex positioning of nodes v4 v5 v1 v2 θ(G) ≤ θ¯(G) ≤ bt(G) v5 v3 v0 v4 4 v1 Applications in VLSI & graph visualizationv3 Thickness (θ) v0 8 θ, θ¯, bt characterize the graph (minimizations over all allowedv2 drawings) Tutte (1963), \classical" planar decomposition 6/ Geometric graphs and graph drawings Definition 1.1 (Geometric graph, Bose et al. (2006), many Erd¨ospapers). A geometric graph G is a pair (V (G);E(G)) where V (G) is a set of points in the plane in general position and E(G) is set of closed segments with endpoints in V (G). Elements of V (G) are vertices and elements of E(G) are edges, so we can associate this straight-line drawing with the underlying abstract graph G(V; E). -
The Line Mycielskian Graph of a Graph
[VOLUME 6 I ISSUE 1 I JAN. – MARCH 2019] e ISSN 2348 –1269, Print ISSN 2349-5138 http://ijrar.com/ Cosmos Impact Factor 4.236 THE LINE MYCIELSKIAN GRAPH OF A GRAPH Keerthi G. Mirajkar1 & Veena N. Mathad2 1Department of Mathematics, Karnatak University's Karnatak Arts College, Dharwad - 580001, Karnataka, India 2Department of Mathematics, University of Mysore, Manasagangotri, Mysore-06, India Received: January 30, 2019 Accepted: March 08, 2019 ABSTRACT: In this paper, we introduce the concept of the line mycielskian graph of a graph. We obtain some properties of this graph. Further we characterize those graphs whose line mycielskian graph and mycielskian graph are isomorphic. Also, we establish characterization for line mycielskian graphs to be eulerian and hamiltonian. Mathematical Subject Classification: 05C45, 05C76. Key Words: Line graph, Mycielskian graph. I. Introduction By a graph G = (V,E) we mean a finite, undirected graph without loops or multiple lines. For graph theoretic terminology, we refer to Harary [3]. For a graph G, let V(G), E(G) and L(G) denote the point set, line set and line graph of G, respectively. The line degree of a line uv of a graph G is the sum of the degree of u and v. The open-neighborhoodN(u) of a point u in V(G) is the set of points adjacent to u. For each ui of G, a new point uˈi is introduced and the resulting set of points is denoted by V1(G). Mycielskian graph휇(G) of a graph G is defined as the graph having point set V(G) ∪V1(G) ∪v and line set E(G) ∪ {xyˈ : xy∈E(G)} ∪ {y ˈv : y ˈ ∈V1(G)}. -
Local Page Numbers
Local Page Numbers Bachelor Thesis of Laura Merker At the Department of Informatics Institute of Theoretical Informatics Reviewers: Prof. Dr. Dorothea Wagner Prof. Dr. Peter Sanders Advisor: Dr. Torsten Ueckerdt Time Period: May 22, 2018 – September 21, 2018 KIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association www.kit.edu Statement of Authorship I hereby declare that this document has been composed by myself and describes my own work, unless otherwise acknowledged in the text. I declare that I have observed the Satzung des KIT zur Sicherung guter wissenschaftlicher Praxis, as amended. Ich versichere wahrheitsgemäß, die Arbeit selbstständig verfasst, alle benutzten Hilfsmittel vollständig und genau angegeben und alles kenntlich gemacht zu haben, was aus Arbeiten anderer unverändert oder mit Abänderungen entnommen wurde, sowie die Satzung des KIT zur Sicherung guter wissenschaftlicher Praxis in der jeweils gültigen Fassung beachtet zu haben. Karlsruhe, September 21, 2018 iii Abstract A k-local book embedding consists of a linear ordering of the vertices of a graph and a partition of its edges into sets of edges, called pages, such that any two edges on the same page do not cross and every vertex has incident edges on at most k pages. Here, two edges cross if their endpoints alternate in the linear ordering. The local page number pl(G) of a graph G is the minimum k such that there exists a k-local book embedding for G. Given a graph G and a vertex ordering, we prove that it is NP-complete to decide whether there exists a k-local book embedding for G with respect to the given vertex ordering for any fixed k ≥ 3. -
Lecture 13: July 18, 2013 Prof
UChicago REU 2013 Apprentice Program Spring 2013 Lecture 13: July 18, 2013 Prof. Babai Scribe: David Kim Exercise 0.1 * If G is a regular graph of degree d and girth ≥ 5, then n ≥ d2 + 1. Definition 0.2 (Girth) The girth of a graph is the length of the shortest cycle in it. If there are no cycles, the girth is infinite. Example 0.3 The square grid has girth 4. The hexagonal grid (honeycomb) has girth 6. The pentagon has girth 5. Another graph of girth 5 is two pentagons sharing an edge. What is a very famous graph, discovered by the ancient Greeks, that has girth 5? Definition 0.4 (Platonic Solids) Convex, regular polyhedra. There are 5 Platonic solids: tetra- hedron (four faces), cube (\hexahedron" - six faces), octahedron (eight faces), dodecahedron (twelve faces), icosahedron (twenty faces). Which of these has girth 5? Can you model an octahedron out of a cube? Hint: a cube has 6 faces, 8 vertices, and 12 edges, while an octahedron has 8 faces, 6 vertices, 12 edges. Definition 0.5 (Dual Graph) The dual of a plane graph G is a graph that has vertices corre- sponding to each face of G, and an edge joining two neighboring faces for each edge in G. Check that the dual of an dodecahedron is an icosahedron, and vice versa. Definition 0.6 (Tree) A tree is a connected graph with no cycles. Girth(tree) = 1. For all other connected graphs, Girth(G) < 1. Definition 0.7 (Bipartite Graph) A graph is bipartite if it is colorable by 2 colors, or equiva- lently, if the vertices can be partitioned into two independent sets. -
Dynamic Cage Survey
Dynamic Cage Survey Geoffrey Exoo Department of Mathematics and Computer Science Indiana State University Terre Haute, IN 47809, U.S.A. [email protected] Robert Jajcay Department of Mathematics and Computer Science Indiana State University Terre Haute, IN 47809, U.S.A. [email protected] Department of Algebra Comenius University Bratislava, Slovakia [email protected] Submitted: May 22, 2008 Accepted: Sep 15, 2008 Version 1 published: Sep 29, 2008 (48 pages) Version 2 published: May 8, 2011 (54 pages) Version 3 published: July 26, 2013 (55 pages) Mathematics Subject Classifications: 05C35, 05C25 Abstract A(k; g)-cage is a k-regular graph of girth g of minimum order. In this survey, we present the results of over 50 years of searches for cages. We present the important theorems, list all the known cages, compile tables of current record holders, and describe in some detail most of the relevant constructions. the electronic journal of combinatorics (2013), #DS16 1 Contents 1 Origins of the Problem 3 2 Known Cages 6 2.1 Small Examples . 6 2.1.1 (3,5)-Cage: Petersen Graph . 7 2.1.2 (3,6)-Cage: Heawood Graph . 7 2.1.3 (3,7)-Cage: McGee Graph . 7 2.1.4 (3,8)-Cage: Tutte-Coxeter Graph . 8 2.1.5 (3,9)-Cages . 8 2.1.6 (3,10)-Cages . 9 2.1.7 (3,11)-Cage: Balaban Graph . 9 2.1.8 (3,12)-Cage: Benson Graph . 9 2.1.9 (4,5)-Cage: Robertson Graph . 9 2.1.10 (5,5)-Cages . -
A Fast Heuristic Algorithm Based on Verification and Elimination Methods for Maximum Clique Problem
A Fast Heuristic Algorithm Based on Verification and Elimination Methods for Maximum Clique Problem Sabu .M Thampi * Murali Krishna P L.B.S College of Engineering, LBS College of Engineering Kasaragod, Kerala-671542, India Kasaragod, Kerala-671542, India [email protected] [email protected] Abstract protein sequences. A major application of the maximum clique problem occurs in the area of coding A clique in an undirected graph G= (V, E) is a theory [1]. The goal here is to find the largest binary ' code, consisting of binary words, which can correct a subset V ⊆ V of vertices, each pair of which is connected by an edge in E. The clique problem is an certain number of errors. A maximal clique is a clique that is not a proper set optimization problem of finding a clique of maximum of any other clique. A maximum clique is a maximal size in graph . The clique problem is NP-Complete. We have succeeded in developing a fast algorithm for clique that has the maximum cardinality. In many maximum clique problem by employing the method of applications, the underlying problem can be formulated verification and elimination. For a graph of size N as a maximum clique problem while in others a N subproblem of the solution procedure consists of there are 2 sub graphs, which may be cliques and finding a maximum clique. This necessitates the hence verifying all of them, will take a long time. Idea is to eliminate a major number of sub graphs, which development of fast and approximate algorithms for cannot be cliques and verifying only the remaining sub the problem.