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The Maximum Number of Cliques in a Graph Embedded in a Surface
ON THE MAXIMUM NUMBER OF CLIQUES IN A GRAPH EMBEDDED IN A SURFACE VIDA DUJMOVIC,´ GASPERˇ FIJAVZ,ˇ GWENAEL¨ JORET, THOM SULANKE, AND DAVID R. WOOD Abstract. This paper studies the following question: Given a surface Σ and an integer n, what is the maximum number of cliques in an n-vertex graph embeddable in Σ? We characterise the extremal ! 5 ! ! graphs for this question, and prove that the answer is between 8(n − !) + 2 and 8n + 2 2 + o(2 ), where ! is the maximum integer such that the complete graph K! embeds in Σ. For the surfaces S0, S1, S2, N1, N2, N3 and N4 we establish an exact answer. MSC Classification: 05C10 (topological graph theory), 05C35 (extremal problems) 1. Introduction A clique in a graph1 is a set of pairwise adjacent vertices. Let c(G) be the number of cliques in a n graph G. For example, every set of vertices in the complete graph Kn is a clique, and c(Kn) = 2 . This paper studies the following question at the intersection of topological and extremal graph theory: Given a surface Σ and an integer n, what is the maximum number of cliques in an n-vertex graph embeddable in Σ? For previous bounds on the maximum number of cliques in certain graph families see [5,6, 13, 14, 22, 23] for example. For background on graphs embedded in surfaces see [11, 21]. Every surface is homeomorphic to Sg, the orientable surface with g handles, or to Nh, the non-orientable surface with h crosscaps. The Euler characteristic of Sg is 2 − 2g. -
Partial Duality and Closed 2-Cell Embeddings
Partial duality and closed 2-cell embeddings To Adrian Bondy on his 70th birthday M. N. Ellingham1;3 Department of Mathematics, 1326 Stevenson Center Vanderbilt University, Nashville, Tennessee 37240, U.S.A. [email protected] Xiaoya Zha2;3 Department of Mathematical Sciences, Box 34 Middle Tennessee State University Murfreesboro, Tennessee 37132, U.S.A. [email protected] April 28, 2016; to appear in Journal of Combinatorics Abstract In 2009 Chmutov introduced the idea of partial duality for embeddings of graphs in surfaces. We discuss some alternative descriptions of partial duality, which demonstrate the symmetry between vertices and faces. One is in terms of band decompositions, and the other is in terms of the gem (graph-encoded map) representation of an embedding. We then use these to investigate when a partial dual is a closed 2-cell embedding, in which every face is bounded by a cycle in the graph. We obtain a necessary and sufficient condition for a partial dual to be closed 2-cell, and also a sufficient condition for no partial dual to be closed 2-cell. 1 Introduction In this paper a surface Σ means a connected compact 2-manifold without boundary. By an open or closed disk in Σ we mean a subset of the surface homeomorphic to such a subset of R2. By a simple closed curve or circle in Σ we mean an image of a circle in R2 under a continuous injective map; a simple arc is a similar image of [0; 1]. The closure of a set S is denoted S, and the boundary is denoted @S. -
Grade 7/8 Math Circles Graph Theory the Seven Bridges of Königsberg
Faculty of Mathematics Centre for Education in Waterloo, Ontario N2L 3G1 Mathematics and Computing Grade 7/8 Math Circles Graph Theory October 13/14, 2015 The Seven Bridges of K¨onigsberg In the mid-1700s the was a city named K¨onigsberg. Today, the city is called Kaliningrad and is in modern day Russia. However, in the 1700s the city was a part of Prussia and had many Germanic influences. The city sits on the Pregel River. This divides the city into two main areas with the river running between them. In the river there are also two islands that are a part of the city. In 1736, a mathematician by the name of Leonhard Euler visited the city and was fascinated by the bridges. Euler wondered whether or not you could walk through the city and cross each bridge exactly once. Take a few minutes to see if you can find a way on the map of K¨onigsberg below. 1 The Three Utilities Problem Suppose you have a neighbourhood with only three houses. Now, each house needs to be connected to a set of three utilities (gas, water, and electricity) in order for a family to live there. Your challenge is to connect all three houses to each of the utilities. Below is a diagram for you to draw out where each utility line/pipe should go. The catch is that the lines you draw to connect each house to a utility can't cross. Also, you can't draw lines through another house or utility plant. In other words, you can't draw House 1's water line through House 2 or through the electricity plant. -
Topological Graph Theory Lecture 16-17 : Width of Embeddings
Topological Graph Theory∗ Lecture 16-17 : Width of embeddings Notes taken by Drago Bokal Burnaby, 2006 Summary: These notes cover the ninth week of classes. The newly studied concepts are homotopy, edge-width and face-width. We show that embeddings with large edge- or face-width have similar properties as planar embeddings. 1 Homotopy It is beyond the purpose of these lectures to deeply study homotopy, but as we will need this concept, we mention it briefly. Two closed simple curves in a given surface are homotopic, if one can be continuously deformed into the other. For instance, on the sphere any two such curves are (freely) homotopic, whereas on the torus S1 × S1 we have two homotopy classes: S1 × {x} and {y}× S1. Formally: Definition 1.1. Let γ0, γ1 : I → Σ be two closed simple curves. A homotopy from γ0 to γ1 is a continuous mapping H : I × I → Σ, such that H(0,t)= γ0(t) and H(1,t)= γ1(t). The following proposition may be of interest: Proposition 1.2. Let C be the family of disjoint non-contractible cycles of a graph G embedded in a surface Σ of Euler genus g, such that no two cycles of C are homotopic. Then |C| ≤ 3g − 3, for g ≥ 2, and |C |≤ g, for g ≤ 1. 2 Edge-width Definition 2.1. Let Π be an embedding of a graph G in a surface Σ of Euler genus g. If g ≥ 1 we define the edge-width of Π, ew(G, Π) = ew(Π), to be the length of the shortest Π-non-contractible cycle in G. -
Topological Graph Theory
Topological Graph Theory Bojan Mohar Simon Fraser University Intensive Research Program in Discrete, Combinatorial and Computational Geometry Advanced Course II: New Results in Combinatorial & Discrete Geometry Barcelona, May 7{11, 2018 Abstract The course will outline fundamental results about graphs embed- ded in surfaces. It will briefly touch on obstructions (minimal non- embeddable graphs), separators and geometric representations (circle packing). Time permitting, some applications will be outlined concern- ing homotopy or homology classification of cycles, crossing numbers and Laplacian eigenvalues. 1 The course will follow the combinatorial approach to graphs embedded in surfaces after the monograph written by Carsten Thomassen and the lec- turer [MT01]. 1 Planar graphs Connectivity, drawings, Euler's Formula • Tutte's definition of connectivity. • Blocks, ear-decomposition, contractible edges in 3-connected graphs. Proposition 1. If G is a 2-connected graph, then it can be obtained from a cycle of length at least three by successively adding a path having only its ends in common with the current graph. The decomposition of a 2-connected graph in a cycle and a sequence of paths is called an ear decomposition of the graph. Proposition 1 has an analogue for 3-connected graphs. Theorem 2 (Tutte [Tu61, Tu66]). Every 3-connected graph can be obtained from a wheel by a sequence of vertex splittings and edge- additions so that all intermediate graphs are 3-connected. Thomassen [Th80] showed that the following \generalized contraction" operation is sufficient to reduce every 3-connected graph to K4. If G is a graph and e 2 E(G), let G==e be the graph obtained from the edge-contracted graph G=e by replacing all multiple edges by single edges joining the same pairs of vertices. -
Embeddings of Graphs
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 124 (1994) 217-228 217 North-Holland Embeddings of graphs Carsten Thomassen Mathematisk Institut, Danmarks Tekniske Hojskoie. Bygning 303, DK-Lyngby. Denmark Received 2 June 1990 Abstract We survey some recent results on graphs embedded in higher surfaces or general topological spaces. 1. Introduction A graph G is embedded in the topological space X if G is represented in X such that the vertices of G are distinct elements in X and an edge in G is a simple arc connecting its two ends such that no two edges intersect except possibly at a common end. Graph embeddings in a broad sense have existed since ancient time. Pretty tilings of the plane have been produced for aestetic or religious reasons (see e.g. [7]). The characterization of the Platonic solids may be regarded as a result on tilings of the sphere. The study of graph embeddings in a more restricted sense began with the 1890 conjecture of Heawood [S] that the complete graph K, can be embedded in the orientable surface S, provided Euler’s formula is not violated. That is, g >&(n - 3)(n -4). Much work on graph embeddings has been inspired by this conjecture the proof of which was not completed until 1968. A complete proof can be found in Ringel’s book [12]. Graph embedding problems also arise in the real world, for example in connection with the design of printed circuits. Also, algorithms involving graphs may be very sensitive to the way in which the graphs are represented. -
Topological Graph Theory Lecture 15-16 : Cycles of Embedded Graphs
Topological Graph Theory∗ Lecture 15-16 : Cycles of Embedded Graphs Notes taken by Brendan Rooney Burnaby, 2006 Summary: These notes cover the eighth week of classes. We present a theorem on the additivity of graph genera. Then we move on to cycles of embedded graphs, the three-path property, and an algorithm for finding a shortest cycle in a family of cycles of a graph. 1 Additivity of Genus Theorem 1.1 (Additivity of Genus). Let G be a connected graph, and let B1,B2,...,Br be the blocks of G. Then the genus of G is, r g(G)= g(Bi) i=1 and the Euler genus of G is, r eg(G)= eg(Bi). i=1 Observation 1.2. In order to prove the theorem it suffices to prove that if G = G1 ∪ G2,where G1 ∩ G2 = {v},theng(G)=g(G1)+g(G2) and eg(G)=eg(G1)+eg(G2). Proof. We set g(G)=min{g(Π) | Π is an orientable embedding of G} g(G1)=min{g(Π1) | Π1 is an orientable embedding of G1} g(G2)=min{g(Π2) | Π2 is an orientable embedding of G2} Let v1,v2 be vertices in G1,G2 respectively, distinct from v. Note that the local rotations of v1,v2 are independent, but the local rotation of v is not. So if we take Π an embedding of G and split it along v we obtain Π1, Π2 embeddings of G1,G2 respectively. Facial walks in G that do not pass from G1 to G2 remain unchanged in Π1, Π2, however if a facial walk does pass from G1 to G2 then when we split we form an extra face. -
Linfan Mao Smarandache Multi-Space Theory
LINFAN MAO SMARANDACHE MULTI-SPACE THEORY (Partially post-doctoral research for the Chinese Academy of Sciences) HEXIS Phoenix, AZ 2006 Linfan MAO Academy of Mathematics and Systems Chinese Academy of Sciences Beijing 100080, P.R.China [email protected] SMARANDACHE MULTI-SPACE THEORY HEXIS Phoenix, AZ 2006 This book can be ordered in a paper bound reprint from: Books on Demand ProQuest Information & Learning (University of Microfilm International) 300 N.Zeeb Road P.O.Box 1346, Ann Arbor MI 48106-1346, USA Tel:1-800-521-0600(Customer Service) http://wwwlib.umi.com/bod Peer Reviewers: Y.P.Liu, Department of Applied Mathematics, Beijing Jiaotong University, Beijing 100044, P.R.China. F.Tian, Academy of Mathematics and Systems, Chinese Academy of Sciences, Bei- jing 100080, P.R.China. J.Y.Yan, Graduate Student College, Chinese Academy of Sciences, Beijing 100083, P.R.China. E.L.Wei, Information school, China Renmin University, Beijing 100872, P.R.China. Copyright 2006 by Hexis and Linfan Mao Phoenix United States Many books can be downloaded from the following Digital Library of Science: http://www.gallup.unm.edu/˜ smarandache/eBooks-otherformats.htm ISBN: 1-931233-14-4 Standard Address Number: 297-5092 Printed in the United States of America Preface A Smarandache multi-space is a union of n different spaces equipped with some different structures for an integer n 2, which can be used both for discrete or ≥ connected spaces, particularly for geometries and spacetimes in theoretical physics. We are used to the idea that our space has three dimensions: length, breadth and height; with time providing the fourth dimension of spacetime by Einstein. -
Planar Graphs Lecture 10A: Properties
CS 163 & CS 265: Graph Algorithms Week 10: Planar graphs Lecture 10a: Properties David Eppstein University of California, Irvine Winter Quarter, 2021 This work is licensed under a Creative Commons Attribution 4.0 International License Examples of planar and nonplanar graphs The three utilities problem Input: three houses and three utilities, placed in the plane https://commons.wikimedia.org/wiki/File:3_utilities_problem_blank.svg How to draw lines connecting each house to each utility, without crossings (and without passing through other houses or utilities)? There is no solution! If you try it, you will get stuck::: https://commons.wikimedia.org/wiki/File:3_utilities_problem_plane.svg But this is not a satisfactory proof of impossibility Other surfaces have solutions If we place the houses and utilities on a torus (for instance, a coffee cup including the handle) we will be able to solve it https://commons.wikimedia.org/wiki/File:3_utilities_problem_torus.svg So solution depends somehow on the topology of the plane Planar graphs A planar graph is a graph that can be drawn without crossings in the plane The graph we are trying to draw in this case is K3;3, a complete bipartite graph with three houses and three utilities It is not a planar graph; the best we can do is to have only one crossing Examples of planar graphs: trees and grid graphs Examples of planar graphs: convex polyhedra Mostly but not entirely planar: road networks https://commons.wikimedia.org/wiki/File:High_Five.jpg [Eppstein and Gupta 2017] Properties Some properties of planar graphs I Euler's formula: If a connected planar graph has n = V vertices, m = E edges, and divides the plane into F faces (regions, including the region outside the drawing) then V − E + F = 2 I Simple planar graphs have ≤ 3n − 6 edges ) their degeneracy is ≤ 5 I Four-color theorem: Can be colored with ≤ 4 colors (Appel and Haken [1976]; degeneracy-based greedy gives ≤ 6) p I Planar separator theorem: treewidth is O( n) (Lipton and Tarjan [1979]; ) faster algorithms for many problems, e.g. -
Planar Graphs and Coloring
Math 443/543 Graph Theory Notes 5: Planar graphs and coloring David Glickenstein October 10, 2014 1 Planar graphs The Three Houses and Three Utilities Problem: Given three houses and three utilities, can we connect each house to all three utilities so that the utility lines do not cross. We can represent this problem with a graph, connecting each house to each utility. We notice that this graph is bipartite: De…nition 1 A bipartite graph is one in which the vertices can be partitioned into two sets X and Y such that every edge joins one vertex in X with one vertex in Y: The partition (X; Y ) is called a bipartition.A complete bipartite graph is one such that each vertex of X is joined with every vertex of Y: The complete bipartite graph such that the order of X is m and the order of Y is n is denoted Km;n or K (m; n) : It is easy to see that the relevant graph in the problem above is K3;3: Now, we wish to embed this graph in the plane such that no two edges cross except at a vertex. De…nition 2 A planar graph is a graph that can be drawn in the plane such that no two edges cross except at a vertex. A planar graph drawn in the plane in a way such that no two edges cross except at a vertex is called a plane graph. Note that it says “can be drawn”not “is drawn.”The problem is that even if a graph is drawn with crossings, it could potentially be drawn in another way so that there are no crossings. -
Competition Problems
THIS IS FUN! OLGA RADKO MATH CIRCLE ADVANCED 2 MARCH 14, 2021 1. Graphs Disclaimer: All graphs in this section are taken to be simple graphs. This means that between any two vertices there is at most one edge, and there are no edges between a vertex and itself. Definition 1. Given a graph G, we define its compliment, denoted G¯. G¯ is a graph with the same vertex set as G but a different edge set. Two vertices have share an edge in G¯ if and only if they do not share an edge in G. Problem 1. (1)( 5 points) Let G be the graph with V = f1; 2; 3; 4; 5g and E = f(1; 2); (1; 4); (2; 3); (2; 5); (3; 4); (4; 5)g: Draw G and G¯. (2)( 5 points) Let G be a graph with n vertices and m edges. How many edges does G¯ have? (3)( 10 points) Prove that if G is a planar graph with 11 or more vertices then either G or G¯ is not planar. (Hint: Problem 6 on the planar graphs handout might be useful) Problem 2. (1)( 10 points) Prove that if G is disconnected, then G¯ is connected. (Being connected means that there is a path between any two vertices) (2)( 5 points) Is the converse true? That is, if G is connected does that mean that G¯ is disconnected? If true, prove it. If not, give a counterexample. Problem 3. (10 points) Recall the three utilities problem (Problem 2 in Planar graphs worksheet). -
Ten Minute Conjectures in Graph Theory
Sketchy Tweets: Ten Minute Conjectures in Graph Theory ANTHONY BONATO AND RICHARD J. NOWAKOWSKI omments by Richard Hamming in his address You Conjecture (which is discussed as our second-to-last conjec- and Your Research [16] resonated with us. On the ture in the following text), is the three-page paper [2] which, CCone hand, Hamming says, with a new way of thinking, reduced most of the published work of twenty years to a corollary of its main result! ‘‘What are the most important problems in your field?’’ Given the size of modern graph theory, with its many which suggests working on hard problems. Yet on the smaller subfields (such as structural graph theory, random other, he exhorts us to graphs, topological graph theory, graph algorithms, spectral graph theory, graph minors, and graph homomorphisms, to ‘‘Plant the little acorns from which mighty oak trees grow.’’ name a few), it would be impossible to list all, or even the Following this advice, we should look over the big bulk of the conjectures in the field. We are content instead to questions, then doodle and sketch out some approaches. focus on a few family jewels, which have an intrinsic beauty If you are an expert, then this is easy to do, but most people and have provided some challenges for graph-theorists for at do not want to wait to become an expert before looking at least two decades. There is something for everyone here, interesting problems. Graph theory, our area of expertise, from undergraduate students taking their first course in has many hard-to-solve questions.