Topologized Cut Vertex and Edge Deletion
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Enumerating Graph Embeddings and Partial-Duals by Genus and Euler Genus
numerative ombinatorics A pplications Enumerative Combinatorics and Applications ECA 1:1 (2021) Article #S2S1 ecajournal.haifa.ac.il Enumerating Graph Embeddings and Partial-Duals by Genus and Euler Genus Jonathan L. Grossy and Thomas W. Tuckerz yDepartment of Computer Science, Columbia University, New York, NY 10027 USA Email: [email protected] zDepartment of Mathematics, Colgate University, Hamilton, NY 13346, USA Email: [email protected] Received: September 2, 2020, Accepted: November 16, 2020, Published: November 20, 2020 The authors: Released under the CC BY-ND license (International 4.0) Abstract: We present an overview of an enumerative approach to topological graph theory, involving the derivation of generating functions for a set of graph embeddings, according to the topological types of their respective surfaces. We are mainly concerned with methods for calculating two kinds of polynomials: 1. the genus polynomial ΓG(z) for a given graph G, which is taken over all orientable embeddings of G, and the Euler-genus polynomial EG(z), which is taken over all embeddings; @ ∗ @ × @ ∗×∗ 2. the partial-duality polynomials EG(z); EG(z); and EG (z), which are taken over the partial-duals for all subsets of edges, for Poincar´eduality (∗), Petrie duality (×), and Wilson duality (∗×∗), respectively. We describe the methods used for the computation of recursions and closed formulas for genus polynomials and partial-dual polynomials. We also describe methods used to examine the polynomials pertaining to some special families of graphs or graph embeddings, for the possible properties of interpolation and log-concavity. Mathematics Subject Classifications: 05A05; 05A15; 05C10; 05C30; 05C31 Key words and phrases: Genus polynomial; Graph embedding; Log-concavity; Partial duality; Production matrix; Ribbon graph; Monodromy 1. -
Decomposition of Wheel Graphs Into Stars, Cycles and Paths
Malaya Journal of Matematik, Vol. 9, No. 1, 456-460, 2021 https://doi.org/10.26637/MJM0901/0076 Decomposition of wheel graphs into stars, cycles and paths M. Subbulakshmi1 and I. Valliammal2* Abstract Let G = (V;E) be a finite graph with n vertices. The Wheel graph Wn is a graph with vertex set fv0;v1;v2;:::;vng and edge-set consisting of all edges of the form vivi+1 and v0vi where 1 ≤ i ≤ n, the subscripts being reduced modulo n. Wheel graph of (n + 1) vertices denoted by Wn. Decomposition of Wheel graph denoted by D(Wn). A star with 3 edges is called a claw S3. In this paper, we show that any Wheel graph can be decomposed into following ways. 8 (n − 2d)S ; d = 1;2;3;::: if n ≡ 0 (mod 6) > 3 > >[(n − 2d) − 1]S3 and P3; d = 1;2;3::: if n ≡ 1 (mod 6) > <[(n − 2d) − 1]S3 and P2; d = 1;2;3;::: if n ≡ 2 (mod 6) D(Wn) = . (n − 2d)S and C ; d = 1;2;3;::: if n ≡ 3 (mod 6) > 3 3 > >(n − 2d)S3 and P3; d = 1;2;3::: if n ≡ 4 (mod 6) > :(n − 2d)S3 and P2; d = 1;2;3;::: if n ≡ 5 (mod 6) Keywords Wheel Graph, Decomposition, claw. AMS Subject Classification 05C70. 1Department of Mathematics, G.V.N. College, Kovilpatti, Thoothukudi-628502, Tamil Nadu, India. 2Department of Mathematics, Manonmaniam Sundaranar University, Tirunelveli-627012, Tamil Nadu, India. *Corresponding author: [email protected]; [email protected] Article History: Received 01 November 2020; Accepted 30 January 2021 c 2021 MJM. -
A Survey of the Studies on Gallai and Anti-Gallai Graphs 1. Introduction
Communications in Combinatorics and Optimization Vol. 6 No. 1, 2021 pp.93-112 CCO DOI: 10.22049/CCO.2020.26877.1155 Commun. Comb. Optim. Review Article A survey of the studies on Gallai and anti-Gallai graphs Agnes Poovathingal1, Joseph Varghese Kureethara2,∗, Dinesan Deepthy3 1 Department of Mathematics, Christ University, Bengaluru, India [email protected] 2 Department of Mathematics, Christ University, Bengaluru, India [email protected] 3 Department of Mathematics, GITAM University, Bengaluru, India [email protected] Received: 17 July 2020; Accepted: 2 October 2020 Published Online: 4 October 2020 Abstract: The Gallai graph and the anti-Gallai graph of a graph G are edge disjoint spanning subgraphs of the line graph L(G). The vertices in the Gallai graph are adjacent if two of the end vertices of the corresponding edges in G coincide and the other two end vertices are nonadjacent in G. The anti-Gallai graph of G is the complement of its Gallai graph in L(G). Attributed to Gallai (1967), the study of these graphs got prominence with the work of Sun (1991) and Le (1996). This is a survey of the studies conducted so far on Gallai and anti-Gallai of graphs and their associated properties. Keywords: Line graphs, Gallai graphs, anti-Gallai graphs, irreducibility, cograph, total graph, simplicial complex, Gallai-mortal graph AMS Subject classification: 05C76 1. Introduction All the graphs under consideration are simple and undirected, but are not necessarily finite. The vertex set and the edge set of the graph G are denoted by V (G) and E(G) respectively. -
A New Approach to Number of Spanning Trees of Wheel Graph Wn in Terms of Number of Spanning Trees of Fan Graph Fn
[ VOLUME 5 I ISSUE 4 I OCT.– DEC. 2018] E ISSN 2348 –1269, PRINT ISSN 2349-5138 A New Approach to Number of Spanning Trees of Wheel Graph Wn in Terms of Number of Spanning Trees of Fan Graph Fn Nihar Ranjan Panda* & Purna Chandra Biswal** *Research Scholar, P. G. Dept. of Mathematics, Ravenshaw University, Cuttack, Odisha. **Department of Mathematics, Parala Maharaja Engineering College, Berhampur, Odisha-761003, India. Received: July 19, 2018 Accepted: August 29, 2018 ABSTRACT An exclusive expression τ(Wn) = 3τ(Fn)−2τ(Fn−1)−2 for determining the number of spanning trees of wheel graph Wn is derived using a new approach by defining an onto mapping from the set of all spanning trees of Wn+1 to the set of all spanning trees of Wn. Keywords: Spanning Tree, Wheel, Fan 1. Introduction A graph consists of a non-empty vertex set V (G) of n vertices together with a prescribed edge set E(G) of r unordered pairs of distinct vertices of V(G). A graph G is called labeled graph if all the vertices have certain label, and a tree is a connected acyclic graph according to Biggs [1]. All the graphs in this paper are finite, undirected, and simple connected. For a graph G = (V(G), E(G)), a spanning tree in G is a tree which has the same vertex set as G has. The number of spanning trees in a graph G, denoted by τ(G), is an important invariant of the graph. It is also an important measure of reliability of a network. -
On Graph Crossing Number and Edge Planarization∗
On Graph Crossing Number and Edge Planarization∗ Julia Chuzhoyy Yury Makarychevz Anastasios Sidiropoulosx Abstract Given an n-vertex graph G, a drawing of G in the plane is a mapping of its vertices into points of the plane, and its edges into continuous curves, connecting the images of their endpoints. A crossing in such a drawing is a point where two such curves intersect. In the Minimum Crossing Number problem, the goal is to find a drawing of G with minimum number of crossings. The value of the optimal solution, denoted by OPT, is called the graph's crossing number. This is a very basic problem in topological graph theory, that has received a significant amount of attention, but is still poorly understood algorithmically. The best currently known efficient algorithm produces drawings with O(log2 n) · (n + OPT) crossings on bounded-degree graphs, while only a constant factor hardness of approximation is known. A closely related problem is Minimum Planarization, in which the goal is to remove a minimum-cardinality subset of edges from G, such that the remaining graph is planar. Our main technical result establishes the following connection between the two problems: if we are given a solution of cost k to the Minimum Planarization problem on graph G, then we can efficiently find a drawing of G with at most poly(d) · k · (k + OPT) crossings, where d is the maximum degree in G. This result implies an O(n · poly(d) · log3=2 n)-approximation for Minimum Crossing Number, as well as improved algorithms for special cases of the problem, such as, for example, k-apex and bounded-genus graphs. -
Switching 3-Edge-Colorings of Cubic Graphs Arxiv:2105.01363V1 [Math.CO] 4 May 2021
Switching 3-Edge-Colorings of Cubic Graphs Jan Goedgebeur Department of Computer Science KU Leuven campus Kulak 8500 Kortrijk, Belgium and Department of Applied Mathematics, Computer Science and Statistics Ghent University 9000 Ghent, Belgium [email protected] Patric R. J. Osterg˚ard¨ Department of Communications and Networking Aalto University School of Electrical Engineering P.O. Box 15400, 00076 Aalto, Finland [email protected] In loving memory of Johan Robaey Abstract The chromatic index of a cubic graph is either 3 or 4. Edge- Kempe switching, which can be used to transform edge-colorings, is here considered for 3-edge-colorings of cubic graphs. Computational results for edge-Kempe switching of cubic graphs up to order 30 and bipartite cubic graphs up to order 36 are tabulated. Families of cubic graphs of orders 4n + 2 and 4n + 4 with 2n edge-Kempe equivalence classes are presented; it is conjectured that there are no cubic graphs arXiv:2105.01363v1 [math.CO] 4 May 2021 with more edge-Kempe equivalence classes. New families of nonplanar bipartite cubic graphs with exactly one edge-Kempe equivalence class are also obtained. Edge-Kempe switching is further connected to cycle switching of Steiner triple systems, for which an improvement of the established classification algorithm is presented. Keywords: chromatic index, cubic graph, edge-coloring, edge-Kempe switch- ing, one-factorization, Steiner triple system. 1 1 Introduction We consider simple finite undirected graphs without loops. For such a graph G = (V; E), the number of vertices jV j is the order of G and the number of edges jEj is the size of G. -
Research Article P4-Decomposition of Line
Kong. Res. J. 5(2): 1-6, 2018 ISSN 2349-2694, All Rights Reserved, Publisher: Kongunadu Arts and Science College, Coimbatore. http://krjscience.com RESEARCH ARTICLE P4-DECOMPOSITION OF LINE AND MIDDLE GRAPH OF SOME GRAPHS Vanitha, R*., D. Vijayalakshmi and G. Mohanappriya PG and Research Department of Mathematics, Kongunadu Arts and Science College, Coimbatore – 641 029, Tamil Nadu, India. ABSTRACT A decomposition of a graph G is a collection of edge-disjoint subgraphs G1, G2,… Gm of G such that every edge of G belongs to exactly one Gi, 1 ≤ i ≤ m. E(G) = E(G1) ∪ E(G2) ∪ ….∪E(Gm). If every graph Giis a path then the decomposition is called a path decomposition. In this paper, we have discussed the P4- decomposition of line and middle graph of Wheel graph, Sunlet graph, Helm graph. The edge connected planar graph of cardinality divisible by 3 admits a P4-decomposition. Keywords: Decomposition, P4-decomposition, Line graph, Middle graph. Mathematics Subject Classification: 05C70 1. INTRODUCTION AND PRELIMINARIES Definition 1.3. (2) The -sunlet graph is the graph on vertices obtained by attaching pendant edges to Let G = (V, E) be a simple graph without a cycle graph. loops or multiple edges. A path is a walk where vi≠ vj, ∀ i ≠ j. In other words, a path is a walk that visits Definition 1.4. (1) TheHelm graphis obtained from each vertex at most once. A decomposition of a a wheel by attaching a pendant edge at each vertex graph G is a collection of edge-disjoint subgraphs of the -cycle. G , G ,… G of G such that every edge of G belongs to 1 2 m Definition 1.5. -
Arxiv:2011.14609V1 [Math.CO] 30 Nov 2020 Vertices in Different Partition Sets Are Linked by a Hamilton Path of This Graph
Symmetries of the Honeycomb toroidal graphs Primož Šparla;b;c aUniversity of Ljubljana, Faculty of Education, Ljubljana, Slovenia bUniversity of Primorska, Institute Andrej Marušič, Koper, Slovenia cInstitute of Mathematics, Physics and Mechanics, Ljubljana, Slovenia Abstract Honeycomb toroidal graphs are a family of cubic graphs determined by a set of three parameters, that have been studied over the last three decades both by mathematicians and computer scientists. They can all be embedded on a torus and coincide with the cubic Cayley graphs of generalized dihedral groups with respect to a set of three reflections. In a recent survey paper B. Alspach gathered most known results on this intriguing family of graphs and suggested a number of research problems regarding them. In this paper we solve two of these problems by determining the full automorphism group of each honeycomb toroidal graph. Keywords: automorphism; honeycomb toroidal graph; cubic; Cayley 1 Introduction In this short paper we focus on a certain family of cubic graphs with many interesting properties. They are called honeycomb toroidal graphs, mainly because they can be embedded on the torus in such a way that the corresponding faces are hexagons. The usual definition of these graphs is purely combinatorial where, somewhat vaguely, the honeycomb toroidal graph HTG(m; n; `) is defined as the graph of order mn having m disjoint “vertical” n-cycles (with n even) such that two consecutive n-cycles are linked together by n=2 “horizontal” edges, linking every other vertex of the first cycle to every other vertex of the second one, and where the last “vertcial” cycle is linked back to the first one according to the parameter ` (see Section 3 for a precise definition). -
On the Gonality of Cartesian Products of Graphs
On the gonality of Cartesian products of graphs Ivan Aidun∗ Ralph Morrison∗ Department of Mathematics Department of Mathematics and Statistics University of Madison-Wisconsin Williams College Madison, WI, USA Williamstown, MA, USA [email protected] [email protected] Submitted: Jan 20, 2020; Accepted: Nov 20, 2020; Published: Dec 24, 2020 c The authors. Released under the CC BY-ND license (International 4.0). Abstract In this paper we provide the first systematic treatment of Cartesian products of graphs and their divisorial gonality, which is a tropical version of the gonality of an algebraic curve defined in terms of chip-firing. We prove an upper bound on the gonality of the Cartesian product of any two graphs, and determine instances where this bound holds with equality, including for the m × n rook's graph with minfm; ng 6 5. We use our upper bound to prove that Baker's gonality conjecture holds for the Cartesian product of any two graphs with two or more vertices each, and we determine precisely which nontrivial product graphs have gonality equal to Baker's conjectural upper bound. We also extend some of our results to metric graphs. Mathematics Subject Classifications: 14T05, 05C57, 05C76 1 Introduction In [7], Baker and Norine introduced a theory of divisors on finite graphs in parallel to divisor theory on algebraic curves. If G = (V; E) is a connected multigraph, one treats G as a discrete analog of an algebraic curve of genus g(G), where g(G) = jEj − jV j + 1. This program was extended to metric graphs in [15] and [21], and has been used to study algebraic curves through combinatorial means. -
An Introduction to Algebraic Graph Theory
An Introduction to Algebraic Graph Theory Cesar O. Aguilar Department of Mathematics State University of New York at Geneseo Last Update: March 25, 2021 Contents 1 Graphs 1 1.1 What is a graph? ......................... 1 1.1.1 Exercises .......................... 3 1.2 The rudiments of graph theory .................. 4 1.2.1 Exercises .......................... 10 1.3 Permutations ........................... 13 1.3.1 Exercises .......................... 19 1.4 Graph isomorphisms ....................... 21 1.4.1 Exercises .......................... 30 1.5 Special graphs and graph operations .............. 32 1.5.1 Exercises .......................... 37 1.6 Trees ................................ 41 1.6.1 Exercises .......................... 45 2 The Adjacency Matrix 47 2.1 The Adjacency Matrix ...................... 48 2.1.1 Exercises .......................... 53 2.2 The coefficients and roots of a polynomial ........... 55 2.2.1 Exercises .......................... 62 2.3 The characteristic polynomial and spectrum of a graph .... 63 2.3.1 Exercises .......................... 70 2.4 Cospectral graphs ......................... 73 2.4.1 Exercises .......................... 84 3 2.5 Bipartite Graphs ......................... 84 3 Graph Colorings 89 3.1 The basics ............................. 89 3.2 Bounds on the chromatic number ................ 91 3.3 The Chromatic Polynomial .................... 98 3.3.1 Exercises ..........................108 4 Laplacian Matrices 111 4.1 The Laplacian and Signless Laplacian Matrices .........111 4.1.1 -
The Graph Curvature Calculator and the Curvatures of Cubic Graphs
The Graph Curvature Calculator and the curvatures of cubic graphs D. Cushing1, R. Kangaslampi2, V. Lipi¨ainen3, S. Liu4, and G. W. Stagg5 1Department of Mathematical Sciences, Durham University 2Computing Sciences, Tampere University 3Department of Mathematics and Systems Analysis, Aalto University 4School of Mathematical Sciences, University of Science and Technology of China 5School of Mathematics, Statistics and Physics, Newcastle University August 20, 2019 Abstract We classify all cubic graphs with either non-negative Ollivier-Ricci curvature or non-negative Bakry-Emery´ curvature everywhere. We show in both curvature notions that the non-negatively curved graphs are the prism graphs and the M¨obiusladders. As a consequence of the classification result we show that non-negatively curved cubic expanders do not exist. We also introduce the Graph Curvature Calculator, an online tool developed for calculating the curvature of graphs under several variants of the curvature notions that we use in the classification. 1 Introduction and statement of results Ricci curvature is a fundamental notion in the study of Riemannian manifolds. This notion has been generalised in various ways from the smooth setting of manifolds to more general metric spaces. This article considers Ricci curvature notions in the discrete setting of graphs. Several adaptations of Ricci curvature such as Bakry-Emery´ curvature (see e.g. [20, 18, 8]), Ollivier-Ricci curvature [32], Entropic curvature introduced by Erbar and Maas [11], and Forman curvature [14, 36], have emerged on graphs in recent years, and there is very active research on these notions. We refer to [3, 27] and the references therein for this vibrant research field. -
Only-Prism and Only-Pyramid Graphs Emilie Diot, Marko Radovanović, Nicolas Trotignon, Kristina Vušković
The (theta, wheel)-free graphs Part I: only-prism and only-pyramid graphs Emilie Diot, Marko Radovanović, Nicolas Trotignon, Kristina Vušković To cite this version: Emilie Diot, Marko Radovanović, Nicolas Trotignon, Kristina Vušković. The (theta, wheel)-free graphs Part I: only-prism and only-pyramid graphs. Journal of Combinatorial Theory, Series B, Elsevier, 2020, 143, pp.123-147. 10.1016/j.jctb.2017.12.004. hal-03060180 HAL Id: hal-03060180 https://hal.archives-ouvertes.fr/hal-03060180 Submitted on 13 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The (theta, wheel)-free graphs Part I: only-prism and only-pyramid graphs Emilie Diot∗, Marko Radovanovi´cy, Nicolas Trotignonz, Kristina Vuˇskovi´cx August 24, 2018 Abstract Truemper configurations are four types of graphs (namely thetas, wheels, prisms and pyramids) that play an important role in the proof of several decomposition theorems for hereditary graph classes. In this paper, we prove two structure theorems: one for graphs with no thetas, wheels and prisms as induced subgraphs, and one for graphs with no thetas, wheels and pyramids as induced subgraphs. A consequence is a polynomial time recognition algorithms for these two classes.