Edge colorings. Definition The minimum k such that G has a proper k-edge-coloring is called the edge chromatic number of G and is denoted
|
|
- Milo French
- 6 years ago
- Views:
Transcription
1 Edge colorings Edge coloring problems often arise when objects being scheduled are pairs of underlying elements, e.g., a pair of teams that play each other, a pair consisting of a teacher and a class, etc. (See slides for an example.) Definition A k-edge-coloring of a graph G is a function f : E(G)!{1, 2,...,k}. Itisproper if edges that share an endpoint have di erent colors, i.e., e 1 \ e 2 6= ; =) f(e 1 ) 6= f(e 2 ). G is said to be k-edge-colorable if it has a proper k-edge-coloring. Definition The minimum k such that G has a proper k-edge-coloring is called the edge chromatic number of G and is denoted 0 (G). Remark Graphs with loops cannot be properly colored, so we consider loopless graphs only. Question What are easy upper and lower bounds on 0 (G)? Proposition. For any graph G, (G) apple 0 (G) apple E(G). The above lower bound may seem trivial. However, this bound holds with equality for large classes of graphs in particular, for bipartite graphs, which we will prove. Examples For a cycle C n, (C n )=2and 0 (C n )= ( 2 if n even 3 if n odd. Math Prof. Kindred - Lecture 15 Page 1
2 The complete graph K 2n has (K 2n )=2n 1. Then we can color the edges of K 8 as illustrated below: Exercise outside of class Show that 0 (K 2n+1 )=2n +1. Remark Note that in vertex coloring, each color class was an independent set. In the context of edge coloring, each color class is a matching. n Recall that (G) (G) since color classes are independent sets for vertex coloring. Can we obtain an analogous result for 0 (G)? Proposition. For any graph G, 0 (G) E(G) 0 (G). Fundamental theorem coming up =) 0 (G) isalwaysverycloseto (G) for simple graphs G. Theorem (Vizing). Let G be a simple graph (no loops, no multiple edges). Then (G) apple 0 (G) apple (G)+1. We omit the proof of the upper bound, but you can find it in the textbook (algorithmic proof). Remark The simple graphs G for which 0 (G) = (G) arecalledclass 1 graphs, and those for which 0 (G) = (G)+1 are called Class 2 graphs. The problem of deciding to which class a given graph belongs is very hard (NP-complete). Math Prof. Kindred - Lecture 15 Page 2
3 Question Does this result hold for graphs with multiple edges (loopless graphs)? Counterexample: fat triangle Given 3 vtcs, say there are l edges between each pair of vtcs. (So the graph has 3l edges total.) Then (G) =2l and 0 (G) =3l. The generalization of Vizing s theorem for loopless graphs (or multigraphs without loops) is the following. Theorem. For any (loopless) graph G, (G) apple 0 (G) apple (G)+µ(G) where µ(g) =max uv2e(g) µ(u, v) and µ(u, v) is the # of edges with endpoints u and v. So µ(g) isthemaximumoftheedgemultiplicitiesing. Our next goal is to show that bipartite graphs are Class 1 graphs that is, (G)-edge-colorable. We first need a lemma. (G)-regular bipartite super- Lemma. Every bipartite graph G has a graph (a graph containing G). Proof. Let G be an X, Y -bipartite graph with k = supergraph G 0 of G can be constructed as follows. (G). A large k-regular Clone G. If G is not regular, add a vertex to X for each vertex of Y and a vertex to Y for each vertex of X. Onthenewvertices,construct another copy of G. Math Prof. Kindred - Lecture 15 Page 3
4 Add edges between vertex and its clone, as needed. For each v 2 V (G) withd G (v) <k,joinitstwocopiesinthenewgraph with k d G (v) edgestogetg 0. Now G 0 is a k-regular bipartite supergraph of G. (G 0 is connected if G was connected.) See slides for an example of above construction. Remark If G is a simple bipartite graph, then we can use a variation of the construction above to obtain a simple (G)-regular bipartite supergraph of G. Replace 2nd step above with the following: For each v 2 V (G) with d G (v) <k,joinitstwocopieswithasingleedgeinthenew graph to get G 0. Then (G 0 )= (G) =k, (G 0 )= (G)+1, and G 0 is a supergraph of G. Iteratingthe2-stepprocessk times yields the desired simple bipartite supergraph H. (G) Recall Hall s Marriage Thm: Theorem. For k 2 N, every k-regular bipartite graph has a perfect matching. Math Prof. Kindred - Lecture 15 Page 4
5 Theorem (König). If G is a bipartite graph, then 0 (G) = (G). Proof. Since 0 (G) (G) foranygraphg, itissu cienttoshowthat 0 (G) apple (G) wheng is bipartite. We give a proof by induction on (G). Base case: Assume (G) =1. Thennotwoedgesshareanendpoint (since such a shared vertex would have degree at least 2), and so every edge of G can be assigned the same color. Thus, 0 (G) apple 1= (G). Induction hypothesis: Suppose any bipartite graph G with (G) =k has 0 (G) apple (G). Suppose G is a bipartite graph with (G) =k +1. Bypreviouslemma, there exists a (G)-regular bipartite graph H that contains G. ByHall s Marriage Thm, H has a perfect matching M. ThenH M is a k-regular bipartite graph and so by the IH, H M satisfies 0 (H M) apple (H M) = (H) 1=k. Consider any k-edge-coloring of H M. Extendittoanedge-coloringof H by assigning all edges of M color k +1. Thisisaproper(k +1)-edgecoloring of H since no two edges of M share an endpoint. Since any subgraph of H must then be (k +1)-edge-colorable, we have that 0 (G) apple k +1. Hmwk problem asks you to give an algorithmic proof of König s Thm. The proof yields a polynomial-time algorithm for constructing a (G)-edge-coloring of a bipartite graph G. Math Prof. Kindred - Lecture 15 Page 5
6 Line graphs Definition Given a graph G, theline graph of G, denotedl(g), is the graph whose vertices are the edges of G and ef 2 E(L(G)) () e and f are edges in G with a common endpoint. Alinegraphistheintersection graph of the edges of G. Example G L(G) Observations If e = uv is an edge in G, thend L(G) (e) =d G (u)+d G (v) 2. The numbers of vertices and edges in L(G) are V (L(G)) = E(G) and E(L(G)) = X v2v (G) dg (v) 2 The line graph of a connected graph G is connected. (Note that the converse is not necessarily true: a disconnected graph may have a connected line graph.) For a simple graph G, verticesformacliqueinl(g) ifandonlyifthe corresponding edges in G have one common endpoint (a star) or form atriangle.(thus,!(l(g)) = (G) unless (G) =2andG contains atriangle.) Math Prof. Kindred - Lecture 15 Page 6
7 The only connected graph that is isomorphic to its line graph is a cycle graph C n for n 3. For a graph G, 0 (G) = (L(G)). So edge coloring is really a special case of vertex coloring. We can characterize the graphs that exist as line graphs. A graph H is the line graph of some other graph if and only if it is possible to find a collection of cliques in H, partitioningtheedgesofh, suchthateach vertex of H belongs to at most two of the cliques. Aforbiddensubgraphcharacterizationexistsforlinegraphs,namelya set S of nine graphs exists such that a simple graph G is a line graph of some simple graph if and only if G does not have any graph in S as an induced subgraph. This characterization yields an algorithm to test whether or not G is alinegraphinpolynomialtime(inn = V (G) ). Math Prof. Kindred - Lecture 15 Page 7
8 Edge coloring and line graphs Math 104, Graph Theory March 14, 2013 Scheduling problem Problem In a school, there are a teachers,,...,x a and b classes,,...,y b. Given that teacher x i is required to teach class y j for p ij periods, schedule a complete timetable in the minimum # of possible periods.
9 Edge-coloring a complete graph Building a bipartite, regular supergraph
10 Forbidden subgraph characterization for line graphs
Definition For vertices u, v V (G), the distance from u to v, denoted d(u, v), in G is the length of a shortest u, v-path. 1
Graph fundamentals Bipartite graph characterization Lemma. If a graph contains an odd closed walk, then it contains an odd cycle. Proof strategy: Consider a shortest closed odd walk W. If W is not a cycle,
More informationNetwork flows and Menger s theorem
Network flows and Menger s theorem Recall... Theorem (max flow, min cut strong duality). Let G be a network. The maximum value of a flow equals the minimum capacity of a cut. We prove this strong duality
More informationDO NOT RE-DISTRIBUTE THIS SOLUTION FILE
Professor Kindred Math 104, Graph Theory Homework 2 Solutions February 7, 2013 Introduction to Graph Theory, West Section 1.2: 26, 38, 42 Section 1.3: 14, 18 Section 2.1: 26, 29, 30 DO NOT RE-DISTRIBUTE
More informationMath 776 Graph Theory Lecture Note 1 Basic concepts
Math 776 Graph Theory Lecture Note 1 Basic concepts Lectured by Lincoln Lu Transcribed by Lincoln Lu Graph theory was founded by the great Swiss mathematician Leonhard Euler (1707-178) after he solved
More informationPlanarity: dual graphs
: dual graphs Math 104, Graph Theory March 28, 2013 : dual graphs Duality Definition Given a plane graph G, the dual graph G is the plane graph whose vtcs are the faces of G. The correspondence between
More informationMatching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition.
18.433 Combinatorial Optimization Matching Algorithms September 9,14,16 Lecturer: Santosh Vempala Given a graph G = (V, E), a matching M is a set of edges with the property that no two of the edges have
More informationCharacterizations of graph classes by forbidden configurations
Characterizations of graph classes by forbidden configurations Zdeněk Dvořák September 14, 2015 We consider graph classes that can be described by excluding some fixed configurations. Let us give some
More informationK 4 C 5. Figure 4.5: Some well known family of graphs
08 CHAPTER. TOPICS IN CLASSICAL GRAPH THEORY K, K K K, K K, K K, K C C C C 6 6 P P P P P. Graph Operations Figure.: Some well known family of graphs A graph Y = (V,E ) is said to be a subgraph of a graph
More informationMath 778S Spectral Graph Theory Handout #2: Basic graph theory
Math 778S Spectral Graph Theory Handout #: Basic graph theory Graph theory was founded by the great Swiss mathematician Leonhard Euler (1707-178) after he solved the Königsberg Bridge problem: Is it possible
More informationPart II. Graph Theory. Year
Part II Year 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2017 53 Paper 3, Section II 15H Define the Ramsey numbers R(s, t) for integers s, t 2. Show that R(s, t) exists for all s,
More informationMath 170- Graph Theory Notes
1 Math 170- Graph Theory Notes Michael Levet December 3, 2018 Notation: Let n be a positive integer. Denote [n] to be the set {1, 2,..., n}. So for example, [3] = {1, 2, 3}. To quote Bud Brown, Graph theory
More informationMatchings. Examples. K n,m, K n, Petersen graph, Q k ; graphs without perfect matching. A maximal matching cannot be enlarged by adding another edge.
Matchings A matching is a set of (non-loop) edges with no shared endpoints. The vertices incident to an edge of a matching M are saturated by M, the others are unsaturated. A perfect matching of G is a
More informationAbstract. A graph G is perfect if for every induced subgraph H of G, the chromatic number of H is equal to the size of the largest clique of H.
Abstract We discuss a class of graphs called perfect graphs. After defining them and getting intuition with a few simple examples (and one less simple example), we present a proof of the Weak Perfect Graph
More informationCharacterizing Graphs (3) Characterizing Graphs (1) Characterizing Graphs (2) Characterizing Graphs (4)
S-72.2420/T-79.5203 Basic Concepts 1 S-72.2420/T-79.5203 Basic Concepts 3 Characterizing Graphs (1) Characterizing Graphs (3) Characterizing a class G by a condition P means proving the equivalence G G
More informationPlanar graphs. Math Prof. Kindred - Lecture 16 Page 1
Planar graphs Typically a drawing of a graph is simply a notational shorthand or a more visual way to capture the structure of the graph. Now we focus on the drawings themselves. Definition A drawing of
More informationGraph Theory S 1 I 2 I 1 S 2 I 1 I 2
Graph Theory S I I S S I I S Graphs Definition A graph G is a pair consisting of a vertex set V (G), and an edge set E(G) ( ) V (G). x and y are the endpoints of edge e = {x, y}. They are called adjacent
More informationLecture 6: Graph Properties
Lecture 6: Graph Properties Rajat Mittal IIT Kanpur In this section, we will look at some of the combinatorial properties of graphs. Initially we will discuss independent sets. The bulk of the content
More informationWORM COLORINGS. Wayne Goddard. Dept of Mathematical Sciences, Clemson University Kirsti Wash
1 2 Discussiones Mathematicae Graph Theory xx (xxxx) 1 14 3 4 5 6 7 8 9 10 11 12 13 WORM COLORINGS Wayne Goddard Dept of Mathematical Sciences, Clemson University e-mail: goddard@clemson.edu Kirsti Wash
More informationA graph is finite if its vertex set and edge set are finite. We call a graph with just one vertex trivial and all other graphs nontrivial.
2301-670 Graph theory 1.1 What is a graph? 1 st semester 2550 1 1.1. What is a graph? 1.1.2. Definition. A graph G is a triple (V(G), E(G), ψ G ) consisting of V(G) of vertices, a set E(G), disjoint from
More informationVertex 3-colorability of claw-free graphs
Algorithmic Operations Research Vol.2 (27) 5 2 Vertex 3-colorability of claw-free graphs Marcin Kamiński a Vadim Lozin a a RUTCOR - Rutgers University Center for Operations Research, 64 Bartholomew Road,
More informationLecture 4: Walks, Trails, Paths and Connectivity
Lecture 4: Walks, Trails, Paths and Connectivity Rosa Orellana Math 38 April 6, 2015 Graph Decompositions Def: A decomposition of a graph is a list of subgraphs such that each edge appears in exactly one
More informationMa/CS 6b Class 5: Graph Connectivity
Ma/CS 6b Class 5: Graph Connectivity By Adam Sheffer Communications Network We are given a set of routers and wish to connect pairs of them to obtain a connected communications network. The network should
More informationOn Sequential Topogenic Graphs
Int. J. Contemp. Math. Sciences, Vol. 5, 2010, no. 36, 1799-1805 On Sequential Topogenic Graphs Bindhu K. Thomas, K. A. Germina and Jisha Elizabath Joy Research Center & PG Department of Mathematics Mary
More informationOn the Relationships between Zero Forcing Numbers and Certain Graph Coverings
On the Relationships between Zero Forcing Numbers and Certain Graph Coverings Fatemeh Alinaghipour Taklimi, Shaun Fallat 1,, Karen Meagher 2 Department of Mathematics and Statistics, University of Regina,
More informationVertex coloring, chromatic number
Vertex coloring, chromatic number A k-coloring of a graph G is a labeling f : V (G) S, where S = k. The labels are called colors; the vertices of one color form a color class. A k-coloring is proper if
More information2. Lecture notes on non-bipartite matching
Massachusetts Institute of Technology 18.433: Combinatorial Optimization Michel X. Goemans February 15th, 013. Lecture notes on non-bipartite matching Given a graph G = (V, E), we are interested in finding
More informationA taste of perfect graphs (continued)
A taste of perfect graphs (continued) Recall two theorems from last class characterizing perfect graphs (and that we observed that the α ω theorem implied the Perfect Graph Theorem). Perfect Graph Theorem.
More informationVertex coloring, chromatic number
Vertex coloring, chromatic number A k-coloring of a graph G is a labeling f : V (G) S, where S = k. The labels are called colors; the vertices of one color form a color class. A k-coloring is proper if
More information9 Connectivity. Contents. 9.1 Vertex Connectivity
9 Connectivity Contents 9.1 Vertex Connectivity.............................. 205 Connectivity and Local Connectivity............... 206 Vertex Cuts and Menger s Theorem................. 207 9.2 The Fan
More informationLecture 19 Thursday, March 29. Examples of isomorphic, and non-isomorphic graphs will be given in class.
CIS 160 - Spring 2018 (instructor Val Tannen) Lecture 19 Thursday, March 29 GRAPH THEORY Graph isomorphism Definition 19.1 Two graphs G 1 = (V 1, E 1 ) and G 2 = (V 2, E 2 ) are isomorphic, write G 1 G
More informationCS473-Algorithms I. Lecture 13-A. Graphs. Cevdet Aykanat - Bilkent University Computer Engineering Department
CS473-Algorithms I Lecture 3-A Graphs Graphs A directed graph (or digraph) G is a pair (V, E), where V is a finite set, and E is a binary relation on V The set V: Vertex set of G The set E: Edge set of
More informationAn upper bound for the chromatic number of line graphs
EuroComb 005 DMTCS proc AE, 005, 151 156 An upper bound for the chromatic number of line graphs A D King, B A Reed and A Vetta School of Computer Science, McGill University, 3480 University Ave, Montréal,
More informationLecture 5: Graphs. Rajat Mittal. IIT Kanpur
Lecture : Graphs Rajat Mittal IIT Kanpur Combinatorial graphs provide a natural way to model connections between different objects. They are very useful in depicting communication networks, social networks
More informationGraphs and Algorithms 2015
Graphs and Algorithms 2015 Teachers: Nikhil Bansal and Jorn van der Pol Webpage: www.win.tue.nl/~nikhil/courses/2wo08 (for up to date information, links to reading material) Goal: Have fun with discrete
More informationOn Galvin s Theorem and Stable Matchings. Adam Blumenthal
On Galvin s Theorem and Stable Matchings by Adam Blumenthal A thesis submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Master of Science
More informationTreewidth and graph minors
Treewidth and graph minors Lectures 9 and 10, December 29, 2011, January 5, 2012 We shall touch upon the theory of Graph Minors by Robertson and Seymour. This theory gives a very general condition under
More informationMath 443/543 Graph Theory Notes 11: Graph minors and Kuratowski s Theorem
Math 443/543 Graph Theory Notes 11: Graph minors and Kuratowski s Theorem David Glickenstein November 26, 2008 1 Graph minors Let s revisit some de nitions. Let G = (V; E) be a graph. De nition 1 Removing
More informationBipartite Roots of Graphs
Bipartite Roots of Graphs Lap Chi Lau Department of Computer Science University of Toronto Graph H is a root of graph G if there exists a positive integer k such that x and y are adjacent in G if and only
More informationDiscrete mathematics , Fall Instructor: prof. János Pach
Discrete mathematics 2016-2017, Fall Instructor: prof. János Pach - covered material - Lecture 1. Counting problems To read: [Lov]: 1.2. Sets, 1.3. Number of subsets, 1.5. Sequences, 1.6. Permutations,
More informationA note on Brooks theorem for triangle-free graphs
A note on Brooks theorem for triangle-free graphs Bert Randerath Institut für Informatik Universität zu Köln D-50969 Köln, Germany randerath@informatik.uni-koeln.de Ingo Schiermeyer Fakultät für Mathematik
More informationMatching Theory. Figure 1: Is this graph bipartite?
Matching Theory 1 Introduction A matching M of a graph is a subset of E such that no two edges in M share a vertex; edges which have this property are called independent edges. A matching M is said to
More informationG G[S] G[D]
Edge colouring reduced indierence graphs Celina M. H. de Figueiredo y Celia Picinin de Mello z Jo~ao Meidanis z Carmen Ortiz x Abstract The chromatic index problem { nding the minimum number of colours
More informationExtremal Graph Theory. Ajit A. Diwan Department of Computer Science and Engineering, I. I. T. Bombay.
Extremal Graph Theory Ajit A. Diwan Department of Computer Science and Engineering, I. I. T. Bombay. Email: aad@cse.iitb.ac.in Basic Question Let H be a fixed graph. What is the maximum number of edges
More informationThe Structure of Bull-Free Perfect Graphs
The Structure of Bull-Free Perfect Graphs Maria Chudnovsky and Irena Penev Columbia University, New York, NY 10027 USA May 18, 2012 Abstract The bull is a graph consisting of a triangle and two vertex-disjoint
More informationCPSC 536N: Randomized Algorithms Term 2. Lecture 10
CPSC 536N: Randomized Algorithms 011-1 Term Prof. Nick Harvey Lecture 10 University of British Columbia In the first lecture we discussed the Max Cut problem, which is NP-complete, and we presented a very
More informationMath 777 Graph Theory, Spring, 2006 Lecture Note 1 Planar graphs Week 1 Weak 2
Math 777 Graph Theory, Spring, 006 Lecture Note 1 Planar graphs Week 1 Weak 1 Planar graphs Lectured by Lincoln Lu Definition 1 A drawing of a graph G is a function f defined on V (G) E(G) that assigns
More informationMATH 350 GRAPH THEORY & COMBINATORICS. Contents
MATH 350 GRAPH THEORY & COMBINATORICS PROF. SERGEY NORIN, FALL 2013 Contents 1. Basic definitions 1 2. Connectivity 2 3. Trees 3 4. Spanning Trees 3 5. Shortest paths 4 6. Eulerian & Hamiltonian cycles
More informationDO NOT RE-DISTRIBUTE THIS SOLUTION FILE
Professor Kindred Math 104, Graph Theory Homework 3 Solutions February 14, 2013 Introduction to Graph Theory, West Section 2.1: 37, 62 Section 2.2: 6, 7, 15 Section 2.3: 7, 10, 14 DO NOT RE-DISTRIBUTE
More information9 About Intersection Graphs
9 About Intersection Graphs Since this lecture we focus on selected detailed topics in Graph theory that are close to your teacher s heart... The first selected topic is that of intersection graphs, i.e.
More information2. CONNECTIVITY Connectivity
2. CONNECTIVITY 70 2. Connectivity 2.1. Connectivity. Definition 2.1.1. (1) A path in a graph G = (V, E) is a sequence of vertices v 0, v 1, v 2,..., v n such that {v i 1, v i } is an edge of G for i =
More informationLecture 11: Maximum flow and minimum cut
Optimisation Part IB - Easter 2018 Lecture 11: Maximum flow and minimum cut Lecturer: Quentin Berthet 4.4. The maximum flow problem. We consider in this lecture a particular kind of flow problem, with
More informationConstructions of k-critical P 5 -free graphs
1 2 Constructions of k-critical P 5 -free graphs Chính T. Hoàng Brian Moore Daniel Recoskie Joe Sawada Martin Vatshelle 3 January 2, 2013 4 5 6 7 8 Abstract With respect to a class C of graphs, a graph
More informationList of Theorems. Mat 416, Introduction to Graph Theory. Theorem 1 The numbers R(p, q) exist and for p, q 2,
List of Theorems Mat 416, Introduction to Graph Theory 1. Ramsey s Theorem for graphs 8.3.11. Theorem 1 The numbers R(p, q) exist and for p, q 2, R(p, q) R(p 1, q) + R(p, q 1). If both summands on the
More informationModule 11. Directed Graphs. Contents
Module 11 Directed Graphs Contents 11.1 Basic concepts......................... 256 Underlying graph of a digraph................ 257 Out-degrees and in-degrees.................. 258 Isomorphism..........................
More informationDiscrete Wiskunde II. Lecture 6: Planar Graphs
, 2009 Lecture 6: Planar Graphs University of Twente m.uetz@utwente.nl wwwhome.math.utwente.nl/~uetzm/dw/ Planar Graphs Given an undirected graph (or multigraph) G = (V, E). A planar embedding of G is
More informationAdjacent: Two distinct vertices u, v are adjacent if there is an edge with ends u, v. In this case we let uv denote such an edge.
1 Graph Basics What is a graph? Graph: a graph G consists of a set of vertices, denoted V (G), a set of edges, denoted E(G), and a relation called incidence so that each edge is incident with either one
More information1 Minimal Examples and Extremal Problems
MATH 68 Notes Combinatorics and Graph Theory II 1 Minimal Examples and Extremal Problems Minimal and extremal problems are really variations on the same question: what is the largest or smallest graph
More information1 Variations of the Traveling Salesman Problem
Stanford University CS26: Optimization Handout 3 Luca Trevisan January, 20 Lecture 3 In which we prove the equivalence of three versions of the Traveling Salesman Problem, we provide a 2-approximate algorithm,
More informationMath 443/543 Graph Theory Notes 5: 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
More informationHow many colors are needed to color a map?
How many colors are needed to color a map? Is 4 always enough? Two relevant concepts How many colors do we need to color a map so neighboring countries get different colors? Simplifying assumption (not
More informationOn graphs of minimum skew rank 4
On graphs of minimum skew rank 4 Sudipta Mallik a and Bryan L. Shader b a Department of Mathematics & Statistics, Northern Arizona University, 85 S. Osborne Dr. PO Box: 5717, Flagstaff, AZ 8611, USA b
More informationCLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN
CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN TOMASZ LUCZAK AND FLORIAN PFENDER Abstract. We show that every 3-connected claw-free graph which contains no induced copy of P 11 is hamiltonian.
More informationSmall Survey on Perfect Graphs
Small Survey on Perfect Graphs Michele Alberti ENS Lyon December 8, 2010 Abstract This is a small survey on the exciting world of Perfect Graphs. We will see when a graph is perfect and which are families
More information1 Matchings in Graphs
Matchings in Graphs J J 2 J 3 J 4 J 5 J J J 6 8 7 C C 2 C 3 C 4 C 5 C C 7 C 8 6 J J 2 J 3 J 4 J 5 J J J 6 8 7 C C 2 C 3 C 4 C 5 C C 7 C 8 6 Definition Two edges are called independent if they are not adjacent
More informationChapter 4. square sum graphs. 4.1 Introduction
Chapter 4 square sum graphs In this Chapter we introduce a new type of labeling of graphs which is closely related to the Diophantine Equation x 2 + y 2 = n and report results of our preliminary investigations
More informationThe Structure and Properties of Clique Graphs of Regular Graphs
The University of Southern Mississippi The Aquila Digital Community Master's Theses 1-014 The Structure and Properties of Clique Graphs of Regular Graphs Jan Burmeister University of Southern Mississippi
More informationPacking Edge-Disjoint Triangles in Given Graphs
Electronic Colloquium on Computational Complexity, Report No. 13 (01) Packing Edge-Disjoint Triangles in Given Graphs Tomás Feder Carlos Subi Abstract Given a graph G, we consider the problem of finding
More informationSome Upper Bounds for Signed Star Domination Number of Graphs. S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour.
Some Upper Bounds for Signed Star Domination Number of Graphs S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour Abstract Let G be a graph with the vertex set V (G) and edge set E(G). A function
More informationarxiv: v1 [math.co] 7 Dec 2018
SEQUENTIALLY EMBEDDABLE GRAPHS JACKSON AUTRY AND CHRISTOPHER O NEILL arxiv:1812.02904v1 [math.co] 7 Dec 2018 Abstract. We call a (not necessarily planar) embedding of a graph G in the plane sequential
More informationTheorem 3.1 (Berge) A matching M in G is maximum if and only if there is no M- augmenting path.
3 Matchings Hall s Theorem Matching: A matching in G is a subset M E(G) so that no edge in M is a loop, and no two edges in M are incident with a common vertex. A matching M is maximal if there is no matching
More informationSources for this lecture. 3. Matching in bipartite and general graphs. Symmetric difference
S-72.2420 / T-79.5203 Matching in bipartite and general graphs 1 3. Matching in bipartite and general graphs Let G be a graph. A matching M in G is a set of nonloop edges with no shared endpoints. Let
More informationCOMP260 Spring 2014 Notes: February 4th
COMP260 Spring 2014 Notes: February 4th Andrew Winslow In these notes, all graphs are undirected. We consider matching, covering, and packing in bipartite graphs, general graphs, and hypergraphs. We also
More informationIntroduction to Graph Theory
Introduction to Graph Theory Tandy Warnow January 20, 2017 Graphs Tandy Warnow Graphs A graph G = (V, E) is an object that contains a vertex set V and an edge set E. We also write V (G) to denote the vertex
More informationVertex Colorings without Rainbow or Monochromatic Subgraphs. 1 Introduction
Vertex Colorings without Rainbow or Monochromatic Subgraphs Wayne Goddard and Honghai Xu Dept of Mathematical Sciences, Clemson University Clemson SC 29634 {goddard,honghax}@clemson.edu Abstract. This
More informationVIZING S THEOREM AND EDGE-CHROMATIC GRAPH THEORY. Contents
VIZING S THEOREM AND EDGE-CHROMATIC GRAPH THEORY ROBERT GREEN Abstract. This paper is an expository piece on edge-chromatic graph theory. The central theorem in this subject is that of Vizing. We shall
More informationAn exact algorithm for max-cut in sparse graphs
An exact algorithm for max-cut in sparse graphs F. Della Croce a M. J. Kaminski b, V. Th. Paschos c a D.A.I., Politecnico di Torino, Italy b RUTCOR, Rutgers University c LAMSADE, CNRS UMR 7024 and Université
More informationarxiv: v4 [math.co] 4 Apr 2011
Upper-critical graphs (complete k-partite graphs) José Antonio Martín H. Faculty of Computer Science, Complutense University of Madrid, Spain arxiv:1011.4124v4 [math.co] 4 Apr 2011 Abstract This work introduces
More informationCMSC Honors Discrete Mathematics
CMSC 27130 Honors Discrete Mathematics Lectures by Alexander Razborov Notes by Justin Lubin The University of Chicago, Autumn 2017 1 Contents I Number Theory 4 1 The Euclidean Algorithm 4 2 Mathematical
More informationExtremal Graph Theory: Turán s Theorem
Bridgewater State University Virtual Commons - Bridgewater State University Honors Program Theses and Projects Undergraduate Honors Program 5-9-07 Extremal Graph Theory: Turán s Theorem Vincent Vascimini
More informationOn Galvin orientations of line graphs and list-edge-colouring
On Galvin orientations of line graphs and list-edge-colouring arxiv:1508.0180v1 [math.co] 7 Aug 015 Jessica Mconald Abstract The notion of a Galvin orientation of a line graph is introduced, generalizing
More informationInduction Review. Graphs. EECS 310: Discrete Math Lecture 5 Graph Theory, Matching. Common Graphs. a set of edges or collection of two-elt subsets
EECS 310: Discrete Math Lecture 5 Graph Theory, Matching Reading: MIT OpenCourseWare 6.042 Chapter 5.1-5.2 Induction Review Basic Induction: Want to prove P (n). Prove base case P (1). Prove P (n) P (n+1)
More informationSection 3.1: Nonseparable Graphs Cut vertex of a connected graph G: A vertex x G such that G x is not connected. Theorem 3.1, p. 57: Every connected
Section 3.1: Nonseparable Graphs Cut vertex of a connected graph G: A vertex x G such that G x is not connected. Theorem 3.1, p. 57: Every connected graph G with at least 2 vertices contains at least 2
More information{ 1} Definitions. 10. Extremal graph theory. Problem definition Paths and cycles Complete subgraphs
Problem definition Paths and cycles Complete subgraphs 10. Extremal graph theory 10.1. Definitions Let us examine the following forbidden subgraph problems: At most how many edges are in a graph of order
More informationHow many colors are needed to color a map?
How many colors are needed to color a map? Is 4 always enough? Two relevant concepts How many colors do we need to color a map so neighboring countries get different colors? Simplifying assumption (not
More informationGraph Connectivity G G G
Graph Connectivity 1 Introduction We have seen that trees are minimally connected graphs, i.e., deleting any edge of the tree gives us a disconnected graph. What makes trees so susceptible to edge deletions?
More informationTopics on Computing and Mathematical Sciences I Graph Theory (13) Summary and Review
Topics on Computing and Mathematical Sciences I Graph Theory () Summary and Review Yoshio Okamoto Tokyo Institute of Technology July, 00 Schedule Basic Topics Definition of Graphs; Paths and Cycles Cycles;
More informationGEODETIC DOMINATION IN GRAPHS
GEODETIC DOMINATION IN GRAPHS H. Escuadro 1, R. Gera 2, A. Hansberg, N. Jafari Rad 4, and L. Volkmann 1 Department of Mathematics, Juniata College Huntingdon, PA 16652; escuadro@juniata.edu 2 Department
More informationBIL694-Lecture 1: Introduction to Graphs
BIL694-Lecture 1: Introduction to Graphs Lecturer: Lale Özkahya Resources for the presentation: http://www.math.ucsd.edu/ gptesler/184a/calendar.html http://www.inf.ed.ac.uk/teaching/courses/dmmr/ Outline
More informationMAT 145: PROBLEM SET 6
MAT 145: PROBLEM SET 6 DUE TO FRIDAY MAR 8 Abstract. This problem set corresponds to the eighth week of the Combinatorics Course in the Winter Quarter 2019. It was posted online on Friday Mar 1 and is
More informationHW Graph Theory SOLUTIONS (hbovik)
Diestel 1.3: Let G be a graph containing a cycle C, and assume that G contains a path P of length at least k between two vertices of C. Show that G contains a cycle of length at least k. If C has length
More informationDiscrete mathematics
Discrete mathematics Petr Kovář petr.kovar@vsb.cz VŠB Technical University of Ostrava DiM 470-2301/02, Winter term 2017/2018 About this file This file is meant to be a guideline for the lecturer. Many
More informationClass Six: Coloring Planar Graphs
Class Six: Coloring Planar Graphs A coloring of a graph is obtained by assigning every vertex a color such that if two vertices are adjacent, then they receive different colors. Drawn below are three different
More information3-colouring AT-free graphs in polynomial time
3-colouring AT-free graphs in polynomial time Juraj Stacho Wilfrid Laurier University, Department of Physics and Computer Science, 75 University Ave W, Waterloo, ON N2L 3C5, Canada stacho@cs.toronto.edu
More informationNote A further extension of Yap s construction for -critical graphs. Zi-Xia Song
Discrete Mathematics 243 (2002) 283 290 www.elsevier.com/locate/disc Note A further extension of Yap s construction for -critical graphs Zi-Xia Song Department of Mathematics, National University of Singapore,
More information1 Matching in Non-Bipartite Graphs
CS 369P: Polyhedral techniques in combinatorial optimization Instructor: Jan Vondrák Lecture date: September 30, 2010 Scribe: David Tobin 1 Matching in Non-Bipartite Graphs There are several differences
More informationFinal Exam Math 38 Graph Theory Spring 2017 Due on Friday, June 2, at 12:50 pm. Good Luck!!
Final Exam Math 38 Graph Theory Spring 2017 Due on Friday, June 2, at 12:50 pm NAME: Instructions: You can use the textbook (Doug West s Introduction to Graph Theory, without solutions), your notes from
More informationChromatic Transversal Domatic Number of Graphs
International Mathematical Forum, 5, 010, no. 13, 639-648 Chromatic Transversal Domatic Number of Graphs L. Benedict Michael Raj 1, S. K. Ayyaswamy and I. Sahul Hamid 3 1 Department of Mathematics, St.
More informationColoring edges and vertices of graphs without short or long cycles
Coloring edges and vertices of graphs without short or long cycles Marcin Kamiński and Vadim Lozin Abstract Vertex and edge colorability are two graph problems that are NPhard in general. We show that
More informationApplied Mathematical Sciences, Vol. 5, 2011, no. 49, Július Czap
Applied Mathematical Sciences, Vol. 5, 011, no. 49, 437-44 M i -Edge Colorings of Graphs Július Czap Department of Applied Mathematics and Business Informatics Faculty of Economics, Technical University
More informationJordan Curves. A curve is a subset of IR 2 of the form
Jordan Curves A curve is a subset of IR 2 of the form α = {γ(x) : x [0,1]}, where γ : [0,1] IR 2 is a continuous mapping from the closed interval [0,1] to the plane. γ(0) and γ(1) are called the endpoints
More information