On the Cycle Double Cover Problem
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A Brief History of Edge-Colorings — with Personal Reminiscences
Discrete Mathematics Letters Discrete Math. Lett. 6 (2021) 38–46 www.dmlett.com DOI: 10.47443/dml.2021.s105 Review Article A brief history of edge-colorings – with personal reminiscences∗ Bjarne Toft1;y, Robin Wilson2;3 1Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark 2Department of Mathematics and Statistics, Open University, Walton Hall, Milton Keynes, UK 3Department of Mathematics, London School of Economics and Political Science, London, UK (Received: 9 June 2020. Accepted: 27 June 2020. Published online: 11 March 2021.) c 2021 the authors. This is an open access article under the CC BY (International 4.0) license (www.creativecommons.org/licenses/by/4.0/). Abstract In this article we survey some important milestones in the history of edge-colorings of graphs, from the earliest contributions of Peter Guthrie Tait and Denes´ Konig¨ to very recent work. Keywords: edge-coloring; graph theory history; Frank Harary. 2020 Mathematics Subject Classification: 01A60, 05-03, 05C15. 1. Introduction We begin with some basic remarks. If G is a graph, then its chromatic index or edge-chromatic number χ0(G) is the smallest number of colors needed to color its edges so that adjacent edges (those with a vertex in common) are colored differently; for 0 0 0 example, if G is an even cycle then χ (G) = 2, and if G is an odd cycle then χ (G) = 3. For complete graphs, χ (Kn) = n−1 if 0 0 n is even and χ (Kn) = n if n is odd, and for complete bipartite graphs, χ (Kr;s) = max(r; s). -
Directed Cycle Double Cover Conjecture: Fork Graphs
Directed Cycle Double Cover Conjecture: Fork Graphs Andrea Jim´enez ∗ Martin Loebl y October 22, 2013 Abstract We explore the well-known Jaeger's directed cycle double cover conjecture which is equiva- lent to the assertion that every cubic bridgeless graph has an embedding on a closed orientable surface with no dual loop. We associate each cubic graph G with a novel object H that we call a hexagon graph; perfect matchings of H describe all embeddings of G on closed orientable surfaces. The study of hexagon graphs leads us to define a new class of graphs that we call lean fork-graphs. Fork graphs are cubic bridgeless graphs obtained from a triangle by sequentially connecting fork-type graphs and performing Y−∆, ∆−Y transformations; lean fork-graphs are fork graphs fulfilling a connectivity property. We prove that Jaeger's conjecture holds for the class of lean fork-graphs. The class of lean fork-graphs is rich; namely, for each cubic bridgeless graph G there is a lean fork-graph containing a subdivision of G as an induced subgraph. Our results establish for the first time, to the best of our knowledge, the validity of Jaeger's conjecture in a broad inductively defined class of graphs. 1 Introduction One of the most challenging open problems in graph theory is the cycle double cover conjecture which was independently posed by Szekeres [14] and Seymour [13] in the seventies. It states that every bridgeless graph has a cycle double cover, that is, a system C of cycles such that each edge of the graph belongs to exactly two cycles of C. -
Math 7410 Graph Theory
Math 7410 Graph Theory Bogdan Oporowski Department of Mathematics Louisiana State University April 14, 2021 Definition of a graph Definition 1.1 A graph G is a triple (V,E, I) where ◮ V (or V (G)) is a finite set whose elements are called vertices; ◮ E (or E(G)) is a finite set disjoint from V whose elements are called edges; and ◮ I, called the incidence relation, is a subset of V E in which each edge is × in relation with exactly one or two vertices. v2 e1 v1 Example 1.2 ◮ V = v1, v2, v3, v4 e5 { } e2 e4 ◮ E = e1,e2,e3,e4,e5,e6,e7 { } e6 ◮ I = (v1,e1), (v1,e4), (v1,e5), (v1,e6), { v4 (v2,e1), (v2,e2), (v3,e2), (v3,e3), (v3,e5), e7 v3 e3 (v3,e6), (v4,e3), (v4,e4), (v4,e7) } Simple graphs Definition 1.3 ◮ Edges incident with just one vertex are loops. ◮ Edges incident with the same pair of vertices are parallel. ◮ Graphs with no parallel edges and no loops are called simple. v2 e1 v1 e5 e2 e4 e6 v4 e7 v3 e3 Edges of a simple graph can be described as v e1 v 2 1 two-element subsets of the vertex set. Example 1.4 e5 e2 e4 E = v1, v2 , v2, v3 , v3, v4 , e6 {{ } { } { } v1, v4 , v1, v3 . v4 { } { }} v e7 3 e3 Note 1.5 Graph Terminology Definition 1.6 ◮ The graph G is empty if V = , and is trivial if E = . ∅ ∅ ◮ The cardinality of the vertex-set of a graph G is called the order of G and denoted G . -
An Exploration of Late Twentieth and Twenty-First Century Clarinet Repertoire
Southern Illinois University Carbondale OpenSIUC Research Papers Graduate School Spring 2021 An Exploration of Late Twentieth and Twenty-First Century Clarinet Repertoire Grace Talaski [email protected] Follow this and additional works at: https://opensiuc.lib.siu.edu/gs_rp Recommended Citation Talaski, Grace. "An Exploration of Late Twentieth and Twenty-First Century Clarinet Repertoire." (Spring 2021). This Article is brought to you for free and open access by the Graduate School at OpenSIUC. It has been accepted for inclusion in Research Papers by an authorized administrator of OpenSIUC. For more information, please contact [email protected]. AN EXPLORATION OF LATE TWENTIETH AND TWENTY-FIRST CENTURY CLARINET REPERTOIRE by Grace Talaski B.A., Albion College, 2017 A Research Paper Submitted in Partial Fulfillment of the Requirements for the Master of Music School of Music in the Graduate School Southern Illinois University Carbondale April 2, 2021 Copyright by Grace Talaski, 2021 All Rights Reserved RESEARCH PAPER APPROVAL AN EXPLORATION OF LATE TWENTIETH AND TWENTY-FIRST CENTURY CLARINET REPERTOIRE by Grace Talaski A Research Paper Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Music in the field of Music Approved by: Dr. Eric Mandat, Chair Dr. Christopher Walczak Dr. Douglas Worthen Graduate School Southern Illinois University Carbondale April 2, 2021 AN ABSTRACT OF THE RESEARCH PAPER OF Grace Talaski, for the Master of Music degree in Performance, presented on April 2, 2021, at Southern Illinois University Carbondale. TITLE: AN EXPLORATION OF LATE TWENTIETH AND TWENTY-FIRST CENTURY CLARINET REPERTOIRE MAJOR PROFESSOR: Dr. Eric Mandat This is an extended program note discussing a selection of compositions featuring the clarinet from the mid-1980s through the present. -
Closed 2-Cell Embeddings of Graphs with No V8-Minors
Discrete Mathematics 230 (2001) 207–213 www.elsevier.com/locate/disc Closed 2-cell embeddings of graphs with no V8-minors Neil Robertsona;∗;1, Xiaoya Zhab;2 aDepartment of Mathematics, Ohio State University, Columbus, OH 43210, USA bDepartment of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN 37132, USA Received 12 July 1996; revised 30 June 1997; accepted 14 October 1999 Abstract A closed 2-cell embedding of a graph embedded in some surface is an embedding such that each face is bounded by a cycle in the graph. The strong embedding conjecture says that every 2-connected graph has a closed 2-cell embedding in some surface. In this paper, we prove that any 2-connected graph without V8 (the Mobius 4-ladder) as a minor has a closed 2-cell embedding in some surface. As a corollary, such a graph has a cycle double cover. The proof uses a classiÿcation of internally-4-connected graphs with no V8-minor (due to Kelmans and independently Robertson), and the proof depends heavily on such a characterization. c 2001 Elsevier Science B.V. All rights reserved. Keywords: Embedding; Strong embedding conjecture; V8 minor; Cycle double cover; Closed 2-cell embedding 1. Introduction The closed 2-cell embedding (called strong embedding in [2,4], and circular em- bedding in [6]) conjecture says that every 2-connected graph G has a closed 2-cell embedding in some surface, that is, an embedding in a compact closed 2-manifold in which each face is simply connected and the boundary of each face is a cycle in the graph (no repeated vertices or edges on the face boundary). -
On Stable Cycles and Cycle Double Covers of Graphs with Large Circumference
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 312 (2012) 2540–2544 Contents lists available at SciVerse ScienceDirect Discrete Mathematics journal homepage: www.elsevier.com/locate/disc On stable cycles and cycle double covers of graphs with large circumference Jonas Hägglund ∗, Klas Markström Department of Mathematics and Mathematical Statistics, Umeå University, SE-901 87 Umeå, Sweden article info a b s t r a c t Article history: A cycle C in a graph is called stable if there exists no other cycle D in the same graph such Received 11 October 2010 that V .C/ ⊆ V .D/. In this paper, we study stable cycles in snarks and we show that if a Accepted 16 August 2011 cubic graph G has a cycle of length at least jV .G/j − 9 then it has a cycle double cover. We Available online 23 September 2011 also give a construction for an infinite snark family with stable cycles of constant length and answer a question by Kochol by giving examples of cyclically 5-edge connected snarks Keywords: with stable cycles. Stable cycle ' 2011 Elsevier B.V. All rights reserved. Snark Cycle double cover Semiextension 1. Introduction In this paper, a cycle is a connected 2-regular subgraph. A cycle double cover (usually abbreviated CDC) is a multiset of cycles covering the edges of a graph such that each edge lies in exactly two cycles. The following is a famous open conjecture in graph theory. Conjecture 1.1 (CDCC). -
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]. -
Graph Algorithms Graph Algorithms a Brief Introduction 3 References 高晓沨 ((( Xiaofeng Gao )))
目录 1 Graph and Its Applications 2 Introduction to Graph Algorithms Graph Algorithms A Brief Introduction 3 References 高晓沨 ((( Xiaofeng Gao ))) Department of Computer Science Shanghai Jiao Tong Univ. 2015/5/7 Algorithm--Xiaofeng Gao 2 Konigsberg Once upon a time there was a city called Konigsberg in Prussia The capital of East Prussia until 1945 GRAPH AND ITS APPLICATIONS Definitions and Applications Centre of learning for centuries, being home to Goldbach, Hilbert, Kant … 2015/5/7 Algorithm--Xiaofeng Gao 3 2015/5/7 Algorithm--Xiaofeng Gao 4 Position of Konigsberg Seven Bridges Pregel river is passing through Konigsberg It separated the city into two mainland area and two islands. There are seven bridges connecting each area. 2015/5/7 Algorithm--Xiaofeng Gao 5 2015/5/7 Algorithm--Xiaofeng Gao 6 Seven Bridge Problem Euler’s Solution A Tour Question: Leonhard Euler Solved this Can we wander around the city, crossing problem in 1736 each bridge once and only once? Published the paper “The Seven Bridges of Konigsbery” Is there a solution? The first negative solution The beginning of Graph Theory 2015/5/7 Algorithm--Xiaofeng Gao 7 2015/5/7 Algorithm--Xiaofeng Gao 8 Representing a Graph More Examples Undirected Graph: Train Maps G=(V, E) V: vertex E: edges Directed Graph: G=(V, A) V: vertex A: arcs 2015/5/7 Algorithm--Xiaofeng Gao 9 2015/5/7 Algorithm--Xiaofeng Gao 10 More Examples (2) More Examples (3) Chemical Models 2015/5/7 Algorithm--Xiaofeng Gao 11 2015/5/7 Algorithm--Xiaofeng Gao 12 More Examples (4) More Examples (5) Family/Genealogy Tree Airline Traffic 2015/5/7 Algorithm--Xiaofeng Gao 13 2015/5/7 Algorithm--Xiaofeng Gao 14 Icosian Game Icosian Game In 1859, Sir William Rowan Hamilton Examples developed the Icosian Game. -
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)}. -
Snarks and Flow-Critical Graphs 1
Snarks and Flow-Critical Graphs 1 CˆandidaNunes da Silva a Lissa Pesci a Cl´audioL. Lucchesi b a DComp – CCTS – ufscar – Sorocaba, sp, Brazil b Faculty of Computing – facom-ufms – Campo Grande, ms, Brazil Abstract It is well-known that a 2-edge-connected cubic graph has a 3-edge-colouring if and only if it has a 4-flow. Snarks are usually regarded to be, in some sense, the minimal cubic graphs without a 3-edge-colouring. We defined the notion of 4-flow-critical graphs as an alternative concept towards minimal graphs. It turns out that every snark has a 4-flow-critical snark as a minor. We verify, surprisingly, that less than 5% of the snarks with up to 28 vertices are 4-flow-critical. On the other hand, there are infinitely many 4-flow-critical snarks, as every flower-snark is 4-flow-critical. These observations give some insight into a new research approach regarding Tutte’s Flow Conjectures. Keywords: nowhere-zero k-flows, Tutte’s Flow Conjectures, 3-edge-colouring, flow-critical graphs. 1 Nowhere-Zero Flows Let k > 1 be an integer, let G be a graph, let D be an orientation of G and let ϕ be a weight function that associates to each edge of G a positive integer in the set {1, 2, . , k − 1}. The pair (D, ϕ) is a (nowhere-zero) k-flow of G 1 Support by fapesp, capes and cnpq if every vertex v of G is balanced, i. e., the sum of the weights of all edges leaving v equals the sum of the weights of all edges entering v.