Fundamentals of Graph Theory MATH Fundamentals of Graph Theory. Benjamin V.C. Collins, James A. Swenson MATH 2730

Size: px
Start display at page:

Download "Fundamentals of Graph Theory MATH Fundamentals of Graph Theory. Benjamin V.C. Collins, James A. Swenson MATH 2730"

Transcription

1 MATH 2730 Fundamentals of Graph Theory Benjamin V.C. Collins James A. Swenson

2 The seven bridges of Königsberg Map: Merian-Erben [Public domain], via Wikimedia Commons

3 The seven bridges of Königsberg Map: Merian-Erben [Public domain], via Wikimedia Commons

4 Flatland utility lines Image: H. Dudeney, Amusements in Mathematics (1917)

5 Flatland utility lines Image: H. Dudeney, Amusements in Mathematics (1917)

6 Traveling Salesman Problem Image: Padberg-Rinaldi, 1987: 532 cities

7 What is not a graph? Example One of these two things is a graph in discrete mathematics: " %

8 What is a graph? Idea A graph is a bunch of points, some of which are joined to others by segments or arcs. Definition A graph is an ordered pair G = (V, E), such that V is a nonempty finite set, and E is a set of 2-element subsets of V. An element of V is a vertex, and an element of E is an edge. Example The figure above is a picture of G = ({r, s, t, u}, {{r, u}, {s, t}, {s, u}, {t, u}}).

9 What is a graph? Idea A graph is a bunch of points, some of which are joined to others by segments or arcs. Definition A graph is an ordered pair G = (V, E), such that V is a nonempty finite set, and E is a set of 2-element subsets of V. An element of V is a vertex, and an element of E is an edge. Consequences of the definition If e E, then e = {a, b} for some distinct a, b V. We say e is incident to a (and to b). We say a is an endpoint of e, but write a e. We say a is adjacent to b, and write a b. We also say a and b are neighbors.

10 What is a graph? Idea A graph is a bunch of points, some of which are joined to others by segments or arcs. Definition A graph is an ordered pair G = (V, E), such that V is a nonempty finite set, and E is a set of 2-element subsets of V. An element of V is a vertex, and an element of E is an edge. Consequences of the definition Every edge has two distinct endpoints (no loops). There is at most one edge between two given vertices.

11 Be careful with the pictures... These are two pictures of the same graph: G = ({r, s, t, u}, {{r, u}, {s, t}, {s, u}, {t, u}}).

12 How big is my graph? Definition Given a graph G = (V, E): The order of G is V (the number of vertices in G), occasionally called ν(g). The size of G is E (the number of edges in G), occasionally called ε(g). Definition Any graph of size 0 is called edgeless.

13 Each vertex has a degree Definition Let G = (V, E). The degree of a vertex is the number of neighbors it has. That is, if a V, then d(a) = {v V : v a}. Definition The set of neighbors of a V is called the neighborhood of a: N(a) = {v V : v a}, d(a) = N(a). Warning: a N(a).

14 Graph invariants Example a r s t u v w d(a) Definition Let G = (V, E) be a graph. The greatest vertex degree in G is denoted by (G); the least is δ(g).

15 Regular graphs Definition Let G = (V, E) be a graph. If all vertices have degree r, then (G) = r = δ(g) and we say G is r-regular. The Petersen graph

16 Complete graphs Theorem (and definitions) Suppose G = (V, E) is a graph of order n (so G has n vertices). The following are equivalent: 1. G is a complete graph on n vertices. 2. Any two distinct vertices of G are adjacent. 3. G is (n 1)-regular. 4. δ(g) = n E = ( n 2). 6. G = K n. K 5

17 Handshake theorem Theorem (The Handshake Theorem) If G = (V, E) is a graph, then d(v) = 2 E. v V Example a r s t u v w d(a)

18 Handshake theorem Theorem (The Handshake Theorem) If G = (V, E) is a graph, then d(v) = 2 E. v V Proof. We ask, How many half-edges does G contain? Clearly the answer is 2 E. On the other hand, for each v V, we see that d(v) is the number of half-edges incident on v. Since every half-edge is incident on a unique vertex, the total number of half-edges in G is d(v). v V

DEFINITION OF GRAPH GRAPH THEORY GRAPHS ACCORDING TO THEIR VERTICES AND EDGES EXAMPLE GRAPHS ACCORDING TO THEIR VERTICES AND EDGES

DEFINITION OF GRAPH GRAPH THEORY GRAPHS ACCORDING TO THEIR VERTICES AND EDGES EXAMPLE GRAPHS ACCORDING TO THEIR VERTICES AND EDGES DEFINITION OF GRAPH GRAPH THEORY Prepared by Engr. JP Timola Reference: Discrete Math by Kenneth H. Rosen A graph G = (V,E) consists of V, a nonempty set of vertices (or nodes) and E, a set of edges. Each

More information

Let G = (V, E) be a graph. If u, v V, then u is adjacent to v if {u, v} E. We also use the notation u v to denote that u is adjacent to v.

Let G = (V, E) be a graph. If u, v V, then u is adjacent to v if {u, v} E. We also use the notation u v to denote that u is adjacent to v. Graph Adjacent Endpoint of an edge Incident Neighbors of a vertex Degree of a vertex Theorem Graph relation Order of a graph Size of a graph Maximum and minimum degree Let G = (V, E) be a graph. If u,

More information

Varying Applications (examples)

Varying Applications (examples) Graph Theory Varying Applications (examples) Computer networks Distinguish between two chemical compounds with the same molecular formula but different structures Solve shortest path problems between cities

More information

The vertex set is a finite nonempty set. The edge set may be empty, but otherwise its elements are two-element subsets of the vertex set.

The vertex set is a finite nonempty set. The edge set may be empty, but otherwise its elements are two-element subsets of the vertex set. Math 3336 Section 10.2 Graph terminology and Special Types of Graphs Definition: A graph is an object consisting of two sets called its vertex set and its edge set. The vertex set is a finite nonempty

More information

Modules. 6 Hamilton Graphs (4-8 lectures) Introduction Necessary conditions and sufficient conditions Exercises...

Modules. 6 Hamilton Graphs (4-8 lectures) Introduction Necessary conditions and sufficient conditions Exercises... Modules 6 Hamilton Graphs (4-8 lectures) 135 6.1 Introduction................................ 136 6.2 Necessary conditions and sufficient conditions............. 137 Exercises..................................

More information

Discrete Mathematics and Probability Theory Fall 2013 Vazirani Note 7

Discrete Mathematics and Probability Theory Fall 2013 Vazirani Note 7 CS 70 Discrete Mathematics and Probability Theory Fall 2013 Vazirani Note 7 An Introduction to Graphs A few centuries ago, residents of the city of Königsberg, Prussia were interested in a certain problem.

More information

Math 170- Graph Theory Notes

Math 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 information

Discrete Mathematics for CS Spring 2008 David Wagner Note 13. An Introduction to Graphs

Discrete Mathematics for CS Spring 2008 David Wagner Note 13. An Introduction to Graphs CS 70 Discrete Mathematics for CS Spring 2008 David Wagner Note 13 An Introduction to Graphs Formulating a simple, precise specification of a computational problem is often a prerequisite to writing a

More information

Introduction to Graphs

Introduction to Graphs Graphs Introduction to Graphs Graph Terminology Directed Graphs Special Graphs Graph Coloring Representing Graphs Connected Graphs Connected Component Reading (Epp s textbook) 10.1-10.3 1 Introduction

More information

Section 10.1: Graphs and Graph Models. Introduction to Graphs Definition of a Graph Types of Graphs Examples of Graphs

Section 10.1: Graphs and Graph Models. Introduction to Graphs Definition of a Graph Types of Graphs Examples of Graphs Graphs Chapter 10 Section 10.1: Graphs and Graph Models Introduction to Graphs Definition of a Graph Types of Graphs Examples of Graphs a b c e d Introduction to Graphs Graphs are Discrete Structures that

More information

CS 311 Discrete Math for Computer Science Dr. William C. Bulko. Graphs

CS 311 Discrete Math for Computer Science Dr. William C. Bulko. Graphs CS 311 Discrete Math for Computer Science Dr. William C. Bulko Graphs 2014 Definitions Definition: A graph G = (V,E) consists of a nonempty set V of vertices (or nodes) and a set E of edges. Each edge

More information

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao,David Tse Note 8

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao,David Tse Note 8 CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao,David Tse Note 8 An Introduction to Graphs Formulating a simple, precise specification of a computational problem is often a prerequisite

More information

On vertex types of graphs

On vertex types of graphs On vertex types of graphs arxiv:1705.09540v1 [math.co] 26 May 2017 Pu Qiao, Xingzhi Zhan Department of Mathematics, East China Normal University, Shanghai 200241, China Abstract The vertices of a graph

More information

CPCS Discrete Structures 1

CPCS Discrete Structures 1 Let us switch to a new topic: Graphs CPCS 222 - Discrete Structures 1 Introduction to Graphs Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs

More information

Directed Graph and Binary Trees

Directed Graph and Binary Trees and Dr. Nahid Sultana December 19, 2012 and Degrees Paths and Directed graphs are graphs in which the edges are one-way. This type of graphs are frequently more useful in various dynamic systems such as

More information

Math 776 Graph Theory Lecture Note 1 Basic concepts

Math 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 information

An Introduction to Graph Theory

An Introduction to Graph Theory An Introduction to Graph Theory Evelyne Smith-Roberge University of Waterloo March 22, 2017 What is a graph? Definition A graph G is: a set V (G) of objects called vertices together with: a set E(G), of

More information

Graph Theory. 1 Introduction to Graphs. Martin Stynes Department of Mathematics, UCC January 26, 2011

Graph Theory. 1 Introduction to Graphs. Martin Stynes Department of Mathematics, UCC   January 26, 2011 Graph Theory Martin Stynes Department of Mathematics, UCC email: m.stynes@ucc.ie January 26, 2011 1 Introduction to Graphs 1 A graph G = (V, E) is a non-empty set of nodes or vertices V and a (possibly

More information

The Traveling Salesman Problem

The Traveling Salesman Problem The Traveling Salesman Problem Hamilton path A path that visits each vertex of the graph once and only once. Hamilton circuit A circuit that visits each vertex of the graph once and only once (at the end,

More information

Chapter 11: Graphs and Trees. March 23, 2008

Chapter 11: Graphs and Trees. March 23, 2008 Chapter 11: Graphs and Trees March 23, 2008 Outline 1 11.1 Graphs: An Introduction 2 11.2 Paths and Circuits 3 11.3 Matrix Representations of Graphs 4 11.5 Trees Graphs: Basic Definitions Informally, a

More information

Graphs. Introduction To Graphs: Exercises. Definitions:

Graphs. Introduction To Graphs: Exercises. Definitions: Graphs Eng.Jehad Aldahdooh Introduction To Graphs: Definitions: A graph G = (V, E) consists of V, a nonempty set of vertices (or nodes) and E, a set of edges. Each edge has either one or two vertices associated

More information

VIZING S THEOREM AND EDGE-CHROMATIC GRAPH THEORY. Contents

VIZING 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 information

K 4 C 5. Figure 4.5: Some well known family of graphs

K 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 information

HW Graph Theory SOLUTIONS (hbovik)

HW 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 information

Math 443/543 Graph Theory Notes 2: Transportation problems

Math 443/543 Graph Theory Notes 2: Transportation problems Math 443/543 Graph Theory Notes 2: Transportation problems David Glickenstein September 15, 2014 1 Readings This is based on Chartrand Chapter 3 and Bondy-Murty 18.1, 18.3 (part on Closure of a Graph).

More information

Introduction to Graph Theory

Introduction 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 information

Fundamental Properties of Graphs

Fundamental Properties of Graphs Chapter three In many real-life situations we need to know how robust a graph that represents a certain network is, how edges or vertices can be removed without completely destroying the overall connectivity,

More information

(5.2) 151 Math Exercises. Graph Terminology and Special Types of Graphs. Malek Zein AL-Abidin

(5.2) 151 Math Exercises. Graph Terminology and Special Types of Graphs. Malek Zein AL-Abidin King Saud University College of Science Department of Mathematics 151 Math Exercises (5.2) Graph Terminology and Special Types of Graphs Malek Zein AL-Abidin ه Basic Terminology First, we give some terminology

More information

Introduction III. Graphs. Motivations I. Introduction IV

Introduction III. Graphs. Motivations I. Introduction IV Introduction I Graphs Computer Science & Engineering 235: Discrete Mathematics Christopher M. Bourke cbourke@cse.unl.edu Graph theory was introduced in the 18th century by Leonhard Euler via the Königsberg

More information

The Traveling Salesman Problem Outline/learning Objectives The Traveling Salesman Problem

The Traveling Salesman Problem Outline/learning Objectives The Traveling Salesman Problem Chapter 6 Hamilton Joins the Circuit Outline/learning Objectives To identify and model Hamilton circuit and Hamilton path problems. To recognize complete graphs and state the number of Hamilton circuits

More information

Network Topology and Graph

Network Topology and Graph Network Topology Network Topology and Graph EEE442 Computer Method in Power System Analysis Any lumped network obeys 3 basic laws KVL KCL linear algebraic constraints Ohm s law Anawach Sangswang Dept.

More information

Graph Theory CS/Math231 Discrete Mathematics Spring2015

Graph Theory CS/Math231 Discrete Mathematics Spring2015 1 Graphs Definition 1 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 is called the vertex set of G, and its elements are called vertices

More information

1 Matchings with Tutte s Theorem

1 Matchings with Tutte s Theorem 1 Matchings with Tutte s Theorem Last week we saw a fairly strong necessary criterion for a graph to have a perfect matching. Today we see that this condition is in fact sufficient. Theorem 1 (Tutte, 47).

More information

Graph Theory

Graph Theory Graph Theory 2012.04.18 Our goal today is to learn some basic concepts in graph theory and explore fun problems using graph theory. A graph is a mathematical object that captures the notion of connection.

More information

Introduction to Engineering Systems, ESD.00. Networks. Lecturers: Professor Joseph Sussman Dr. Afreen Siddiqi TA: Regina Clewlow

Introduction to Engineering Systems, ESD.00. Networks. Lecturers: Professor Joseph Sussman Dr. Afreen Siddiqi TA: Regina Clewlow Introduction to Engineering Systems, ESD.00 Lecture 7 Networks Lecturers: Professor Joseph Sussman Dr. Afreen Siddiqi TA: Regina Clewlow The Bridges of Königsberg The town of Konigsberg in 18 th century

More information

Graph Theory. Part of Texas Counties.

Graph Theory. Part of Texas Counties. Graph Theory Part of Texas Counties. We would like to visit each of the above counties, crossing each county only once, starting from Harris county. Is this possible? This problem can be modeled as a graph.

More information

How can we lay cable at minimum cost to make every telephone reachable from every other? What is the fastest route between two given cities?

How can we lay cable at minimum cost to make every telephone reachable from every other? What is the fastest route between two given cities? 1 Introduction Graph theory is one of the most in-demand (i.e. profitable) and heavily-studied areas of applied mathematics and theoretical computer science. May graph theory questions are applied in this

More information

Problem Set 2 Solutions

Problem Set 2 Solutions Problem Set 2 Solutions Graph Theory 2016 EPFL Frank de Zeeuw & Claudiu Valculescu 1. Prove that the following statements about a graph G are equivalent. - G is a tree; - G is minimally connected (it is

More information

Math236 Discrete Maths with Applications

Math236 Discrete Maths with Applications Math236 Discrete Maths with Applications P. Ittmann UKZN, Pietermaritzburg Semester 1, 2012 Ittmann (UKZN PMB) Math236 2012 1 / 19 Degree Sequences Let G be a graph with vertex set V (G) = {v 1, v 2, v

More information

Domination, Independence and Other Numbers Associated With the Intersection Graph of a Set of Half-planes

Domination, Independence and Other Numbers Associated With the Intersection Graph of a Set of Half-planes Domination, Independence and Other Numbers Associated With the Intersection Graph of a Set of Half-planes Leonor Aquino-Ruivivar Mathematics Department, De La Salle University Leonorruivivar@dlsueduph

More information

A 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.

A 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 information

A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY

A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY KARL L. STRATOS Abstract. The conventional method of describing a graph as a pair (V, E), where V and E repectively denote the sets of vertices and edges,

More information

Sarah Will Math 490 December 2, 2009

Sarah Will Math 490 December 2, 2009 Sarah Will Math 490 December 2, 2009 Euler Circuits INTRODUCTION Euler wrote the first paper on graph theory. It was a study and proof that it was impossible to cross the seven bridges of Königsberg once

More information

Graphs. Pseudograph: multiple edges and loops allowed

Graphs. Pseudograph: multiple edges and loops allowed Graphs G = (V, E) V - set of vertices, E - set of edges Undirected graphs Simple graph: V - nonempty set of vertices, E - set of unordered pairs of distinct vertices (no multiple edges or loops) Multigraph:

More information

11.4 Bipartite Multigraphs

11.4 Bipartite Multigraphs 11.4 Bipartite Multigraphs Introduction Definition A graph G is bipartite if we can partition the vertices into two disjoint subsets U and V such that every edge of G has one incident vertex in U and the

More information

1. The Highway Inspector s Problem

1. The Highway Inspector s Problem MATH 100 Survey of Mathematics Fall 2009 1. The Highway Inspector s Problem The Königsberg Bridges over the river Pregel C c d e A g D a B b Figure 1. Bridges f Is there a path that crosses every bridge

More information

Graph (1A) Young Won Lim 4/19/18

Graph (1A) Young Won Lim 4/19/18 Graph (1A) Copyright (c) 2015 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version

More information

Math.3336: Discrete Mathematics. Chapter 10 Graph Theory

Math.3336: Discrete Mathematics. Chapter 10 Graph Theory Math.3336: Discrete Mathematics Chapter 10 Graph Theory Instructor: Dr. Blerina Xhabli Department of Mathematics, University of Houston https://www.math.uh.edu/ blerina Email: blerina@math.uh.edu Fall

More information

CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN

CLAW-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 information

Lecture 1: An Introduction to Graph Theory

Lecture 1: An Introduction to Graph Theory Introduction to Graph Theory Instructor: Padraic Bartlett Lecture 1: An Introduction to Graph Theory Week 1 Mathcamp 2011 Mathematicians like to use graphs to describe lots of different things. Groups,

More information

2. CONNECTIVITY Connectivity

2. 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 information

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics. An Introduction to Graph Theory

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics. An Introduction to Graph Theory SCHOOL OF ENGINEERING & BUILT ENVIRONMENT Mathematics An Introduction to Graph Theory. Introduction. Definitions.. Vertices and Edges... The Handshaking Lemma.. Connected Graphs... Cut-Points and Bridges.

More information

Chapter 2 Graphs. 2.1 Definition of Graphs

Chapter 2 Graphs. 2.1 Definition of Graphs Chapter 2 Graphs Abstract Graphs are discrete structures that consist of vertices and edges connecting some of these vertices. Graphs have many applications in Mathematics, Computer Science, Engineering,

More information

Theory of Computing. Lecture 10 MAS 714 Hartmut Klauck

Theory of Computing. Lecture 10 MAS 714 Hartmut Klauck Theory of Computing Lecture 10 MAS 714 Hartmut Klauck Seven Bridges of Königsberg Can one take a walk that crosses each bridge exactly once? Seven Bridges of Königsberg Model as a graph Is there a path

More information

Adjacent: 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.

Adjacent: 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 information

Section 8.2 Graph Terminology. Undirected Graphs. Definition: Two vertices u, v in V are adjacent or neighbors if there is an edge e between u and v.

Section 8.2 Graph Terminology. Undirected Graphs. Definition: Two vertices u, v in V are adjacent or neighbors if there is an edge e between u and v. Section 8.2 Graph Terminology Undirected Graphs Definition: Two vertices u, v in V are adjacent or neighbors if there is an edge e between u and v. The edge e connects u and v. The vertices u and v are

More information

Characterizing Graphs (3) Characterizing Graphs (1) Characterizing Graphs (2) Characterizing Graphs (4)

Characterizing 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 information

Material handling and Transportation in Logistics. Paolo Detti Dipartimento di Ingegneria dell Informazione e Scienze Matematiche Università di Siena

Material handling and Transportation in Logistics. Paolo Detti Dipartimento di Ingegneria dell Informazione e Scienze Matematiche Università di Siena Material handling and Transportation in Logistics Paolo Detti Dipartimento di Ingegneria dell Informazione e Scienze Matematiche Università di Siena Introduction to Graph Theory Graph Theory As Mathematical

More information

CMSC Honors Discrete Mathematics

CMSC 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 information

Binding Number of Some Special Classes of Trees

Binding Number of Some Special Classes of Trees International J.Math. Combin. Vol.(206), 76-8 Binding Number of Some Special Classes of Trees B.Chaluvaraju, H.S.Boregowda 2 and S.Kumbinarsaiah 3 Department of Mathematics, Bangalore University, Janana

More information

Chapter 14 Section 3 - Slide 1

Chapter 14 Section 3 - Slide 1 AND Chapter 14 Section 3 - Slide 1 Chapter 14 Graph Theory Chapter 14 Section 3 - Slide WHAT YOU WILL LEARN Graphs, paths and circuits The Königsberg bridge problem Euler paths and Euler circuits Hamilton

More information

BIL694-Lecture 1: Introduction to Graphs

BIL694-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 information

Matching 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.

Matching 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 information

Number Theory and Graph Theory

Number Theory and Graph Theory 1 Number Theory and Graph Theory Chapter 6 Basic concepts and definitions of graph theory By A. Satyanarayana Reddy Department of Mathematics Shiv Nadar University Uttar Pradesh, India E-mail: satya8118@gmail.com

More information

Some Elementary Lower Bounds on the Matching Number of Bipartite Graphs

Some Elementary Lower Bounds on the Matching Number of Bipartite Graphs Some Elementary Lower Bounds on the Matching Number of Bipartite Graphs Ermelinda DeLaViña and Iride Gramajo Department of Computer and Mathematical Sciences University of Houston-Downtown Houston, Texas

More information

Spanning and weighted spanning trees. A different kind of optimization. (graph theory is cool.)

Spanning and weighted spanning trees. A different kind of optimization. (graph theory is cool.) A different kind of optimization (graph theory is cool.) A different kind of optimization (graph theory is cool.) Definitions and examples Graphs A graph is a collection of vertices (that look like dots

More information

Math 443/543 Graph Theory Notes

Math 443/543 Graph Theory Notes Math 443/543 Graph Theory Notes David Glickenstein September 3, 2008 1 Introduction We will begin by considering several problems which may be solved using graphs, directed graphs (digraphs), and networks.

More information

CHAPTER 10 GRAPHS AND TREES. Alessandro Artale UniBZ - artale/z

CHAPTER 10 GRAPHS AND TREES. Alessandro Artale UniBZ -  artale/z CHAPTER 10 GRAPHS AND TREES Alessandro Artale UniBZ - http://www.inf.unibz.it/ artale/z SECTION 10.1 Graphs: Definitions and Basic Properties Copyright Cengage Learning. All rights reserved. Graphs: Definitions

More information

Paths. Path is a sequence of edges that begins at a vertex of a graph and travels from vertex to vertex along edges of the graph.

Paths. Path is a sequence of edges that begins at a vertex of a graph and travels from vertex to vertex along edges of the graph. Paths Path is a sequence of edges that begins at a vertex of a graph and travels from vertex to vertex along edges of the graph. Formal Definition of a Path (Undirected) Let n be a nonnegative integer

More information

Instant Insanity Instructor s Guide Make-it and Take-it Kit for AMTNYS 2006

Instant Insanity Instructor s Guide Make-it and Take-it Kit for AMTNYS 2006 Instant Insanity Instructor s Guide Make-it and Take-it Kit for AMTNYS 2006 THE KIT: This kit contains materials for two Instant Insanity games, a student activity sheet with answer key and this instructor

More information

CS70: Discrete Math and Probability. Fan Ye June 23, 2016

CS70: Discrete Math and Probability. Fan Ye June 23, 2016 CS70: Discrete Math and Probability Fan Ye June 23, 2016 More inductions! Bunch of examples Good ones and bad ones 1 More inductions Suppose I start with 0 written on a piece of paper. Each time, I choose

More information

Discrete mathematics

Discrete mathematics Discrete mathematics Petr Kovář petr.kovar@vsb.cz VŠB Technical University of Ostrava DiM 470-2301/02, Winter term 2018/2019 About this file This file is meant to be a guideline for the lecturer. Many

More information

v V Question: How many edges are there in a graph with 10 vertices each of degree 6?

v V Question: How many edges are there in a graph with 10 vertices each of degree 6? ECS20 Handout Graphs and Trees March 4, 2015 (updated 3/9) Notion of a graph 1. A graph G = (V,E) consists of V, a nonempty set of vertices (or nodes) and E, a set of pairs of elements of V called edges.

More information

Vertex-Edge Graphs. Vertex-Edge Graphs In the Georgia Performance Standards. Sarah Holliday Southern Polytechnic State University

Vertex-Edge Graphs. Vertex-Edge Graphs In the Georgia Performance Standards. Sarah Holliday Southern Polytechnic State University Vertex-Edge Graphs Vertex-Edge Graphs In the Georgia Performance Standards Sarah Holliday Southern Polytechnic State University Math III MM3A7. Students will understand and apply matrix representations

More information

The Traveling Salesman Problem Outline/learning Objectives The Traveling Salesman Problem

The Traveling Salesman Problem Outline/learning Objectives The Traveling Salesman Problem Chapter 6 Hamilton Joins the Circuit Outline/learning Objectives To identify and model Hamilton circuit and Hamilton path problems. To recognize complete graphs and state the number of Hamilton circuits

More information

Basics of Graph Theory

Basics of Graph Theory Basics of Graph Theory 1 Basic notions A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges. Simple graphs have their

More information

Vesa Halava Tero Harju. Walks on Borders of Polygons

Vesa Halava Tero Harju. Walks on Borders of Polygons Vesa Halava Tero Harju Walks on Borders of Polygons TUCS Technical Report No 698, June 2005 Walks on Borders of Polygons Vesa Halava Tero Harju Department of Mathematics and TUCS - Turku Centre for Computer

More information

Euler and Hamilton paths. Jorge A. Cobb The University of Texas at Dallas

Euler and Hamilton paths. Jorge A. Cobb The University of Texas at Dallas Euler and Hamilton paths Jorge A. Cobb The University of Texas at Dallas 1 Paths and the adjacency matrix The powers of the adjacency matrix A r (with normal, not boolean multiplication) contain the number

More information

POWER DOMINATION OF MIDDLE GRAPH OF PATH, CYCLE AND STAR

POWER DOMINATION OF MIDDLE GRAPH OF PATH, CYCLE AND STAR Volume 114 No. 5 2017, 13-19 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu POWER DOMINATION OF MIDDLE GRAPH OF PATH, CYCLE AND STAR B. Thenmozhi

More information

Dieter Jungnickel (2008), Graphs, Networks and Algorithms, 3rd edition, which is available online via SpringerLink.

Dieter Jungnickel (2008), Graphs, Networks and Algorithms, 3rd edition, which is available online via SpringerLink. Lecture 1 First Steps in Graph Theory This lecture introduces Graph Theory, the main subject of the course, and includes some basic definitions as well as a number of standard examples. Reading: Some of

More information

GRAPH THEORY: AN INTRODUCTION

GRAPH THEORY: AN INTRODUCTION GRAPH THEORY: AN INTRODUCTION BEGINNERS 3/4/2018 1. GRAPHS AND THEIR PROPERTIES A graph G consists of two sets: a set of vertices V, and a set of edges E. A vertex is simply a labeled point. An edge is

More information

GRAPHS, GRAPH MODELS, GRAPH TERMINOLOGY, AND SPECIAL TYPES OF GRAPHS

GRAPHS, GRAPH MODELS, GRAPH TERMINOLOGY, AND SPECIAL TYPES OF GRAPHS GRAPHS, GRAPH MODELS, GRAPH TERMINOLOGY, AND SPECIAL TYPES OF GRAPHS DR. ANDREW SCHWARTZ, PH.D. 10.1 Graphs and Graph Models (1) A graph G = (V, E) consists of V, a nonempty set of vertices (or nodes)

More information

Street-Routing Problems

Street-Routing Problems Street-Routing Problems Lecture 26 Sections 5.1-5.2 Robb T. Koether Hampden-Sydney College Wed, Oct 25, 2017 Robb T. Koether (Hampden-Sydney College) Street-Routing Problems Wed, Oct 25, 2017 1 / 21 1

More information

Number Theory and Graph Theory

Number Theory and Graph Theory 1 Number Theory and Graph Theory Chapter 7 Graph properties By A. Satyanarayana Reddy Department of Mathematics Shiv Nadar University Uttar Pradesh, India E-mail: satya8118@gmail.com 2 Module-2: Eulerian

More information

Math 443/543 Graph Theory Notes

Math 443/543 Graph Theory Notes Math 443/543 Graph Theory Notes David Glickenstein September 8, 2014 1 Introduction We will begin by considering several problems which may be solved using graphs, directed graphs (digraphs), and networks.

More information

Math 778S Spectral Graph Theory Handout #2: Basic graph theory

Math 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 information

Definition MATH Benjamin V.C. Collins, James A. Swenson MATH 2730

Definition MATH Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Benjamin V.C. Collins James A. Swenson s and undefined terms The importance of definition s matter! may be more important in Discrete Math than in any math course that you have had previously.

More information

Math/Stat 2300 Modeling using Graph Theory (March 23/25) from text A First Course in Mathematical Modeling, Giordano, Fox, Horton, Weir, 2009.

Math/Stat 2300 Modeling using Graph Theory (March 23/25) from text A First Course in Mathematical Modeling, Giordano, Fox, Horton, Weir, 2009. Math/Stat 2300 Modeling using Graph Theory (March 23/25) from text A First Course in Mathematical Modeling, Giordano, Fox, Horton, Weir, 2009. Describing Graphs (8.2) A graph is a mathematical way of describing

More information

Introduction to Networks

Introduction to Networks LESSON 1 Introduction to Networks Exploratory Challenge 1 One classic math puzzle is the Seven Bridges of Königsberg problem which laid the foundation for networks and graph theory. In the 18th century

More information

Graph theory - solutions to problem set 1

Graph theory - solutions to problem set 1 Graph theory - solutions to problem set 1 1. (a) Is C n a subgraph of K n? Exercises (b) For what values of n and m is K n,n a subgraph of K m? (c) For what n is C n a subgraph of K n,n? (a) Yes! (you

More information

Chapter 8 Topics in Graph Theory

Chapter 8 Topics in Graph Theory Chapter 8 Topics in Graph Theory Chapter 8: Topics in Graph Theory Section 8.1: Examples {1,2,3} Section 8.2: Examples {1,2,4} Section 8.3: Examples {1} 8.1 Graphs Graph A graph G consists of a finite

More information

Math 110 Graph Theory II: Circuits and Paths

Math 110 Graph Theory II: Circuits and Paths Math 110 Graph Theory II: Circuits and Paths For Next Time. Read Section 6.1 Circuit Training (p. 386ff) for more background on this material. Review the definition of a graph. Make sure you understand

More information

Rainbow game domination subdivision number of a graph

Rainbow game domination subdivision number of a graph Rainbow game domination subdivision number of a graph J. Amjadi Department of Mathematics Azarbaijan Shahid Madani University Tabriz, I.R. Iran j-amjadi@azaruniv.edu Abstract The rainbow game domination

More information

On vertex-coloring edge-weighting of graphs

On vertex-coloring edge-weighting of graphs Front. Math. China DOI 10.1007/s11464-009-0014-8 On vertex-coloring edge-weighting of graphs Hongliang LU 1, Xu YANG 1, Qinglin YU 1,2 1 Center for Combinatorics, Key Laboratory of Pure Mathematics and

More information

Lecture 5: Graphs. Rajat Mittal. IIT Kanpur

Lecture 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 information

Chapter 4 Concepts from Geometry

Chapter 4 Concepts from Geometry Chapter 4 Concepts from Geometry An Introduction to Optimization Spring, 2014 Wei-Ta Chu 1 Line Segments The line segment between two points and in R n is the set of points on the straight line joining

More information

AMS /672: Graph Theory Homework Problems - Week V. Problems to be handed in on Wednesday, March 2: 6, 8, 9, 11, 12.

AMS /672: Graph Theory Homework Problems - Week V. Problems to be handed in on Wednesday, March 2: 6, 8, 9, 11, 12. AMS 550.47/67: Graph Theory Homework Problems - Week V Problems to be handed in on Wednesday, March : 6, 8, 9,,.. Assignment Problem. Suppose we have a set {J, J,..., J r } of r jobs to be filled by a

More information

Advanced Operations Research Techniques IE316. Quiz 1 Review. Dr. Ted Ralphs

Advanced Operations Research Techniques IE316. Quiz 1 Review. Dr. Ted Ralphs Advanced Operations Research Techniques IE316 Quiz 1 Review Dr. Ted Ralphs IE316 Quiz 1 Review 1 Reading for The Quiz Material covered in detail in lecture. 1.1, 1.4, 2.1-2.6, 3.1-3.3, 3.5 Background material

More information

Graph Overview (1A) Young Won Lim 5/9/18

Graph Overview (1A) Young Won Lim 5/9/18 Copyright (c) 2015 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published

More information

Simple graph Complete graph K 7. Non- connected graph

Simple graph Complete graph K 7. Non- connected graph A graph G consists of a pair (V; E), where V is the set of vertices and E the set of edges. We write V (G) for the vertices of G and E(G) for the edges of G. If no two edges have the same endpoints we

More information