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

Size: px
Start display at page:

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

Transcription

1 Graph (1A)

2 Copyright (c) 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 by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License". Please send corrections (or suggestions) to youngwlim@hotmail.com. This document was produced by using LibreOffice and Octave.

3 Some class of graphs (1) Complete graph A complete graph is a graph in which each pair of vertices is joined by an edge. A complete graph contains all possible edges. Connected graph In an undirected graph, an unordered pair of vertices {x, y} is called connected if a path leads from x to y. Otherwise, the unordered pair is called disconnected. Bipartite graph A bipartite graph is a graph in which the vertex set can be partitioned into two sets, W and X, so that no two vertices in W share a common edge and no two vertices in X share a common edge. Alternatively, it is a graph with a chromatic number of 2. Graph (5A) 3

4 Complete Graphs Graph (5A) 4

5 Connected Graphs This graph becomes disconnected when the right-most node in the gray area on the left is removed This graph becomes disconnected when the dashed edge is removed. With vertex 0 this graph is disconnected, the rest of the graph is connected. Graph (5A) 5

6 Bipartite Graphs Example of a bipartite graph without cycles A complete bipartite graph with m = 5 and n = 3 A graph with an odd cycle transversal of size 2: removing the two blue bottom vertices leaves a bipartite graph. Graph (5A) 6

7 Complete Graphs Graph (5A) 7

8 Complete Bipartite Graphs Graph (5A) 8

9 Star Graphs Graph (5A) 9

10 Wheel Graphs Graph (5A) 10

11 Some class of graphs (2) Planar graph A planar graph is a graph whose vertices and edges can be drawn in a plane such that no two of the edges intersect. Cycle graph A cycle graph or circular graph of order n 3 is a graph in which the vertices can be listed in an order v1, v2,, vn such that the edges are the {vi, vi+1} where i = 1, 2,, n 1, plus the edge {vn, v1}. Cycle graphs can be characterized as connected graphs in which the degree of all vertices is 2. If a cycle graph occurs as a subgraph of another graph, it is a cycle or circuit in that graph. Tree A tree is a connected graph with no cycles. Graph (5A) 11

12 Planar Graphs A planar graph and its dual Graph (5A) 12

13 Cycle Graphs Graph (5A) 13

14 Tree Graphs Graph (5A) 14

15 Hypercube A hypercube can be defined by increasing the numbers of dimensions of a shape: 0 A point is a hypercube of dimension zero. 1 If one moves this point one unit length, it will sweep out a line segment, which is a unit hypercube of dimension one. 2 If one moves this line segment its length in a perpendicular direction from itself; it sweeps out a 2-dimensional square. 3 If one moves the square one unit length in the direction perpendicular to the plane it lies on, it will generate a 3-dimensional cube. 4 If one moves the cube one unit length into the fourth dimension, it generates a 4- dimensional unit hypercube (a unit tesseract). Tesseract Graph (5A) 15

16

17 Gray Code Tesseract Graph (5A) 16

18

19 Adjacency Lists Graph (5A) 17

20 Incidence Matrix Graph (5A) 18

21 Adjacency Matrix Graph (5A) 19

22 Hamiltonian Path Graph (5A) 20

23 Minimum Spanning Tree Graph (5A) 21

24 Seven Bridges of Königsberg The problem was to devise a walk through the city that would cross each of those bridges once and only once. Graph (5A) 22

25 Shortest path problem Graph (5A) 23

26 Traveling salesman problem Graph (5A) 24

27 Euler Cycle Any connected graph with even degree vertices An Euler cycle A proof by induction on the number of edges in G A connected graph G with even degree vertices only and k edges (k < n) An Euler cycle Assume this is true A connected graph G with even degree vertices only and n edges An Euler cycle Then this holds true Johnsonbough, Discrete Mathematics Graph (5A) 25

28 Euler Cycle Any connected graph with even degree vertices which has n edge An Euler cycle Any connected graph with even degree vertices which has n-1 edge Any connected graph with even degree vertices which has n-2 edge An Euler cycle An Euler cycle Any connected graph with even degree vertices which has 2 edge Any connected graph with even degree vertices which has 1 edge An Euler cycle An Euler cycle Johnsonbough, Discrete Mathematics Graph (5A) 26

29 Euler Cycle Base Cases n = 0 edge n = 1 edge all even degree vertices n = 2 edge an Euler cycle Johnsonbough, Discrete Mathematics Graph (5A) 27

30 Euler Cycle decrease the number of edges by one A connected graph G with even degree vertices only and n edges (k < n) e 1 e 2 v 1 v 2 v 3 all even degree vertices P: a path from v to v 1 A connected graph G' with even degree vertices only and n-1 edges (k < n) P': a portion of the path P that are in G' e v 1 v 2 v 3 all even degree vertices Johnsonbough, Discrete Mathematics Graph (5A) 28

31 Euler Cycle a path from v to v 1 Case 1: P ends at v 1 Case 2: P ends at v 2 Case 3: P ends at v 3 v 1 v 2 v 3 v 1 v 2 v 3 v 1 v 2 v 3 P P P v v v v 1 v 2 v 3 v 1 v 2 v 3 v 1 v 2 v 3 P ' P ' P ' v v v Johnsonbough, Discrete Mathematics Graph (5A) 29

32 Euler Cycle F B H E D C I J G ABCDEFGHIJK A K en.wikipedia.org Graph (5A) 30

33 Euler Cycle G G' v 1 v 3 v 1 v 3 v 2 v 2 2 components Graph (5A) 31

34 Euler Cycle G G' v 1 v 3 v 1 v 3 v 2 v 2 1 component Graph (5A) 32

35 Euler Cycle G G' v 1 v 3 v 1 v 3 v 2 v 2 2 components Graph (5A) 33

36 Euler Cycle G G' v 1 v 3 v 1 v 3 v 2 v 2 1 component Graph (5A) 34

37 References [1] [2]

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

Eulerian Cycle (2A) Young Won Lim 4/26/18

Eulerian Cycle (2A) Young Won Lim 4/26/18 Eulerian Cycle (2A) 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

More information

Eulerian Cycle (2A) Walk : vertices may repeat, edges may repeat (closed or open) Trail: vertices may repeat, edges cannot repeat (open)

Eulerian Cycle (2A) Walk : vertices may repeat, edges may repeat (closed or open) Trail: vertices may repeat, edges cannot repeat (open) Eulerian Cycle (2A) Walk : vertices may repeat, edges may repeat (closed or open) Trail: vertices may repeat, edges cannot repeat (open) circuit : vertices my repeat, edges cannot repeat (closed) path

More information

Planar Graph (7A) Young Won Lim 5/21/18

Planar Graph (7A) Young Won Lim 5/21/18 Planar Graph (7A) 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

More information

Planar Graph (7A) Young Won Lim 6/20/18

Planar Graph (7A) Young Won Lim 6/20/18 Planar Graph (7A) 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

More information

Eulerian Cycle (2A) Young Won Lim 5/11/18

Eulerian Cycle (2A) Young Won Lim 5/11/18 ulerian ycle (2) opyright (c) 2015 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the NU ree ocumentation License, Version 1.2 or any later

More information

Eulerian Cycle (2A) Young Won Lim 5/25/18

Eulerian Cycle (2A) Young Won Lim 5/25/18 ulerian ycle (2) opyright (c) 2015 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU ree ocumentation License, Version 1.2 or any later

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

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

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

Course Introduction / Review of Fundamentals of Graph Theory

Course Introduction / Review of Fundamentals of Graph Theory Course Introduction / Review of Fundamentals of Graph Theory Hiroki Sayama sayama@binghamton.edu Rise of Network Science (From Barabasi 2010) 2 Network models Many discrete parts involved Classic mean-field

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

6.2. Paths and Cycles

6.2. Paths and Cycles 6.2. PATHS AND CYCLES 85 6.2. Paths and Cycles 6.2.1. Paths. A path from v 0 to v n of length n is a sequence of n+1 vertices (v k ) and n edges (e k ) of the form v 0, e 1, v 1, e 2, v 2,..., e n, v n,

More information

Elements of Graph Theory

Elements of Graph Theory Elements of Graph Theory Quick review of Chapters 9.1 9.5, 9.7 (studied in Mt1348/2008) = all basic concepts must be known New topics we will mostly skip shortest paths (Chapter 9.6), as that was covered

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

Chapter 1 Graph Theory

Chapter 1 Graph Theory Chapter Graph Theory - Representations of Graphs Graph, G=(V,E): It consists of the set V of vertices and the set E of edges. If each edge has its direction, the graph is called the directed graph (digraph).

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

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

Algorithms: Graphs. Amotz Bar-Noy. Spring 2012 CUNY. Amotz Bar-Noy (CUNY) Graphs Spring / 95

Algorithms: Graphs. Amotz Bar-Noy. Spring 2012 CUNY. Amotz Bar-Noy (CUNY) Graphs Spring / 95 Algorithms: Graphs Amotz Bar-Noy CUNY Spring 2012 Amotz Bar-Noy (CUNY) Graphs Spring 2012 1 / 95 Graphs Definition: A graph is a collection of edges and vertices. Each edge connects two vertices. Amotz

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

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

Algorithms. Graphs. Algorithms

Algorithms. Graphs. Algorithms Algorithms Graphs Algorithms Graphs Definition: A graph is a collection of edges and vertices. Each edge connects two vertices. Algorithms 1 Graphs Vertices: Nodes, points, computers, users, items,...

More information

Minimum Spanning Tree (5A) Young Won Lim 5/11/18

Minimum Spanning Tree (5A) Young Won Lim 5/11/18 Minimum Spanning Tree (5A) 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

More information

Computational Discrete Mathematics

Computational Discrete Mathematics Computational Discrete Mathematics Combinatorics and Graph Theory with Mathematica SRIRAM PEMMARAJU The University of Iowa STEVEN SKIENA SUNY at Stony Brook CAMBRIDGE UNIVERSITY PRESS Table of Contents

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

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

1. a graph G = (V (G), E(G)) consists of a set V (G) of vertices, and a set E(G) of edges (edges are pairs of elements of V (G))

1. a graph G = (V (G), E(G)) consists of a set V (G) of vertices, and a set E(G) of edges (edges are pairs of elements of V (G)) 10 Graphs 10.1 Graphs and Graph Models 1. a graph G = (V (G), E(G)) consists of a set V (G) of vertices, and a set E(G) of edges (edges are pairs of elements of V (G)) 2. an edge is present, say e = {u,

More information

CS 2336 Discrete Mathematics

CS 2336 Discrete Mathematics CS 2336 Discrete Mathematics Lecture 15 Graphs: Planar Graphs 1 Outline What is a Planar Graph? Euler Planar Formula Platonic Solids Five Color Theorem Kuratowski s Theorem 2 What is a Planar Graph? Definition

More information

Module 2: NETWORKS AND DECISION MATHEMATICS

Module 2: NETWORKS AND DECISION MATHEMATICS Further Mathematics 2017 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks Key knowledge the conventions, terminology, properties and types of graphs; edge, face, loop,

More information

Graph and Digraph Glossary

Graph and Digraph Glossary 1 of 15 31.1.2004 14:45 Graph and Digraph Glossary A B C D E F G H I-J K L M N O P-Q R S T U V W-Z Acyclic Graph A graph is acyclic if it contains no cycles. Adjacency Matrix A 0-1 square matrix whose

More information

Section 3.4 Basic Results of Graph Theory

Section 3.4 Basic Results of Graph Theory 1 Basic Results of Graph Theory Section 3.4 Basic Results of Graph Theory Purpose of Section: To formally introduce the symmetric relation of a (undirected) graph. We introduce such topics as Euler Tours,

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

Mathematics and Statistics, Part A: Graph Theory Problem Sheet 1, lectures 1-4

Mathematics and Statistics, Part A: Graph Theory Problem Sheet 1, lectures 1-4 1. Draw Mathematics and Statistics, Part A: Graph Theory Problem Sheet 1, lectures 1-4 (i) a simple graph. A simple graph has a non-empty vertex set and no duplicated edges. For example sketch G with V

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

Further Mathematics 2016 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks

Further Mathematics 2016 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks Further Mathematics 2016 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks Key knowledge the conventions, terminology, properties and types of graphs; edge, face, loop,

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

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

DS UNIT 4. Matoshri College of Engineering and Research Center Nasik Department of Computer Engineering Discrete Structutre UNIT - IV

DS UNIT 4. Matoshri College of Engineering and Research Center Nasik Department of Computer Engineering Discrete Structutre UNIT - IV Sr.No. Question Option A Option B Option C Option D 1 2 3 4 5 6 Class : S.E.Comp Which one of the following is the example of non linear data structure Let A be an adjacency matrix of a graph G. The ij

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

Worksheet for the Final Exam - Part I. Graphs

Worksheet for the Final Exam - Part I. Graphs Worksheet for the Final Exam - Part I. Graphs Date and Time: May 10 2012 Thursday 11:50AM~1:50PM Location: Eng 120 Start with the Self-Test Exercises (pp.816) in Prichard. 1. Give the adjacency matrix

More information

The Konigsberg Bridge Problem

The Konigsberg Bridge Problem The Konigsberg Bridge Problem This is a classic mathematical problem. There were seven bridges across the river Pregel at Königsberg. Is it possible to take a walk in which each bridge is crossed exactly

More information

An Interactive Introduction to Graph Theory

An Interactive Introduction to Graph Theory An Interactive Introduction to Graph Theory An Interactive Introduction to Graph Theory Chris K. Caldwell 1995 This the first of a series of interactive tutorials introducing the basic concepts of graph

More information

Undirected Network Summary

Undirected Network Summary Undirected Network Summary Notice that the network above has multiple edges joining nodes a to d and the network has a loop at node d. Also c is called an isolated node as it is not connected to any other

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

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

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 information

Assignments are handed in on Tuesdays in even weeks. Deadlines are:

Assignments are handed in on Tuesdays in even weeks. Deadlines are: Tutorials at 2 3, 3 4 and 4 5 in M413b, on Tuesdays, in odd weeks. i.e. on the following dates. Tuesday the 28th January, 11th February, 25th February, 11th March, 25th March, 6th May. Assignments are

More information

Chapter 3: Paths and Cycles

Chapter 3: Paths and Cycles Chapter 3: Paths and Cycles 5 Connectivity 1. Definitions: Walk: finite sequence of edges in which any two consecutive edges are adjacent or identical. (Initial vertex, Final vertex, length) Trail: walk

More information

Assignment 4 Solutions of graph problems

Assignment 4 Solutions of graph problems Assignment 4 Solutions of graph problems 1. Let us assume that G is not a cycle. Consider the maximal path in the graph. Let the end points of the path be denoted as v 1, v k respectively. If either of

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

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

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

INTRODUCTION TO GRAPH THEORY. 1. Definitions

INTRODUCTION TO GRAPH THEORY. 1. Definitions INTRODUCTION TO GRAPH THEORY D. JAKOBSON 1. Definitions A graph G consists of vertices {v 1, v 2,..., v n } and edges {e 1, e 2,..., e m } connecting pairs of vertices. An edge e = (uv) is incident with

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

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

Discrete Mathematics (2009 Spring) Graphs (Chapter 9, 5 hours)

Discrete Mathematics (2009 Spring) Graphs (Chapter 9, 5 hours) Discrete Mathematics (2009 Spring) Graphs (Chapter 9, 5 hours) Chih-Wei Yi Dept. of Computer Science National Chiao Tung University June 1, 2009 9.1 Graphs and Graph Models What are Graphs? General meaning

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

Graphs and Isomorphisms

Graphs and Isomorphisms Graphs and Isomorphisms Discrete Structures (CS 173) Backyards of Old Houses in Antwerp in the Snow Van Gogh Madhusudan Parthasarathy, University of Illinois Proof techniques: Direct Contrapositive Disproving

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 2017/2018 About this file This file is meant to be a guideline for the lecturer. Many

More information

Lecture 3: Recap. Administrivia. Graph theory: Historical Motivation. COMP9020 Lecture 4 Session 2, 2017 Graphs and Trees

Lecture 3: Recap. Administrivia. Graph theory: Historical Motivation. COMP9020 Lecture 4 Session 2, 2017 Graphs and Trees Administrivia Lecture 3: Recap Assignment 1 due 23:59 tomorrow. Quiz 4 up tonight, due 15:00 Thursday 31 August. Equivalence relations: (S), (R), (T) Total orders: (AS), (R), (T), (L) Partial orders: (AS),

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

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

Graph Theory. Connectivity, Coloring, Matching. Arjun Suresh 1. 1 GATE Overflow

Graph Theory. Connectivity, Coloring, Matching. Arjun Suresh 1. 1 GATE Overflow Graph Theory Connectivity, Coloring, Matching Arjun Suresh 1 1 GATE Overflow GO Classroom, August 2018 Thanks to Subarna/Sukanya Das for wonderful figures Arjun, Suresh (GO) Graph Theory GATE 2019 1 /

More information

Graphs Definitions. Gunnar Gotshalks. GraphDefinitions 1

Graphs Definitions. Gunnar Gotshalks. GraphDefinitions 1 Graphs Definitions GraphDefinitions 1 Examples of Graphs Street maps» Vertices are the intersections» Edges are the streets Power line network» Vertices are the houses & power stations» Edges are the power

More information

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Section 9.5 Euler and Hamilton Paths Page references correspond to locations of Extra Examples icons in the textbook. p.634,

More information

Functions (4A) Young Won Lim 5/8/17

Functions (4A) Young Won Lim 5/8/17 Functions (4A) Copyright (c) 2015 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

Graph Overview (1A) Young Won Lim 5/11/18

Graph Overview (1A) Young Won Lim 5/11/18 Graph Overview (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 ocumentation License, Version 1.2 or any

More information

An Introduction to Graph Theory

An Introduction to Graph Theory An Introduction to Graph Theory CIS008-2 Logic and Foundations of Mathematics David Goodwin david.goodwin@perisic.com 12:00, Friday 17 th February 2012 Outline 1 Graphs 2 Paths and cycles 3 Graphs and

More information

CMSC 380. Graph Terminology and Representation

CMSC 380. Graph Terminology and Representation CMSC 380 Graph Terminology and Representation GRAPH BASICS 2 Basic Graph Definitions n A graph G = (V,E) consists of a finite set of vertices, V, and a finite set of edges, E. n Each edge is a pair (v,w)

More information

CS70 - Lecture 6. Graphs: Coloring; Special Graphs. 1. Review of L5 2. Planar Five Color Theorem 3. Special Graphs:

CS70 - Lecture 6. Graphs: Coloring; Special Graphs. 1. Review of L5 2. Planar Five Color Theorem 3. Special Graphs: CS70 - Lecture 6 Graphs: Coloring; Special Graphs 1. Review of L5 2. Planar Five Color Theorem 3. Special Graphs: Trees: Three characterizations Hypercubes: Strongly connected! Administration You need

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

About the Tutorial. Audience. Prerequisites. Disclaimer & Copyright. Graph Theory

About the Tutorial. Audience. Prerequisites. Disclaimer & Copyright. Graph Theory About the Tutorial This tutorial offers a brief introduction to the fundamentals of graph theory. Written in a reader-friendly style, it covers the types of graphs, their properties, trees, graph traversability,

More information

Computer Science 280 Fall 2002 Homework 10 Solutions

Computer Science 280 Fall 2002 Homework 10 Solutions Computer Science 280 Fall 2002 Homework 10 Solutions Part A 1. How many nonisomorphic subgraphs does W 4 have? W 4 is the wheel graph obtained by adding a central vertex and 4 additional "spoke" edges

More information

Ma/CS 6b Class 5: Graph Connectivity

Ma/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 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

Introduction to Graphs

Introduction to Graphs Introduction to Graphs Slides by Lap Chi Lau The Chinese University of Hong Kong This Lecture In this part we will study some basic graph theory. Graph is a useful concept to model many problems in computer

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

WUCT121. Discrete Mathematics. Graphs

WUCT121. Discrete Mathematics. Graphs WUCT121 Discrete Mathematics Graphs WUCT121 Graphs 1 Section 1. Graphs 1.1. Introduction Graphs are used in many fields that require analysis of routes between locations. These areas include communications,

More information

Brief History. Graph Theory. What is a graph? Types of graphs Directed graph: a graph that has edges with specific directions

Brief History. Graph Theory. What is a graph? Types of graphs Directed graph: a graph that has edges with specific directions Brief History Graph Theory What is a graph? It all began in 1736 when Leonhard Euler gave a proof that not all seven bridges over the Pregolya River could all be walked over once and end up where you started.

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

Majority and Friendship Paradoxes

Majority and Friendship Paradoxes Majority and Friendship Paradoxes Majority Paradox Example: Small town is considering a bond initiative in an upcoming election. Some residents are in favor, some are against. Consider a poll asking the

More information

Graph Theory. ICT Theory Excerpt from various sources by Robert Pergl

Graph Theory. ICT Theory Excerpt from various sources by Robert Pergl Graph Theory ICT Theory Excerpt from various sources by Robert Pergl What can graphs model? Cost of wiring electronic components together. Shortest route between two cities. Finding the shortest distance

More information

Functions (4A) Young Won Lim 3/16/18

Functions (4A) Young Won Lim 3/16/18 Functions (4A) Copyright (c) 2015 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

Discrete mathematics II. - Graphs

Discrete mathematics II. - Graphs Emil Vatai April 25, 2018 Basic definitions Definition of an undirected graph Definition (Undirected graph) An undirected graph or (just) a graph is a triplet G = (ϕ, E, V ), where V is the set of vertices,

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

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

Topic 10 Part 2 [474 marks]

Topic 10 Part 2 [474 marks] Topic Part 2 [474 marks] The complete graph H has the following cost adjacency matrix Consider the travelling salesman problem for H a By first finding a minimum spanning tree on the subgraph of H formed

More information

CS 441 Discrete Mathematics for CS Lecture 26. Graphs. CS 441 Discrete mathematics for CS. Final exam

CS 441 Discrete Mathematics for CS Lecture 26. Graphs. CS 441 Discrete mathematics for CS. Final exam CS 441 Discrete Mathematics for CS Lecture 26 Graphs Milos Hauskrecht milos@cs.pitt.edu 5329 Sennott Square Final exam Saturday, April 26, 2014 at 10:00-11:50am The same classroom as lectures The exam

More information

EECS 203 Lecture 20. More Graphs

EECS 203 Lecture 20. More Graphs EECS 203 Lecture 20 More Graphs Admin stuffs Last homework due today Office hour changes starting Friday (also in Piazza) Friday 6/17: 2-5 Mark in his office. Sunday 6/19: 2-5 Jasmine in the UGLI. Monday

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

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

Binary Search Tree (3A) Young Won Lim 6/2/18

Binary Search Tree (3A) Young Won Lim 6/2/18 Binary Search Tree (A) /2/1 Copyright (c) 2015-201 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

More information

CPS 102: Discrete Mathematics. Quiz 3 Date: Wednesday November 30, Instructor: Bruce Maggs NAME: Prob # Score. Total 60

CPS 102: Discrete Mathematics. Quiz 3 Date: Wednesday November 30, Instructor: Bruce Maggs NAME: Prob # Score. Total 60 CPS 102: Discrete Mathematics Instructor: Bruce Maggs Quiz 3 Date: Wednesday November 30, 2011 NAME: Prob # Score Max Score 1 10 2 10 3 10 4 10 5 10 6 10 Total 60 1 Problem 1 [10 points] Find a minimum-cost

More information

Questions? You are given the complete graph of Facebook. What questions would you ask? (What questions could we hope to answer?)

Questions? You are given the complete graph of Facebook. What questions would you ask? (What questions could we hope to answer?) P vs. NP What now? Attribution These slides were prepared for the New Jersey Governor s School course The Math Behind the Machine taught in the summer of 2011 by Grant Schoenebeck Large parts of these

More information

Crossing bridges. Crossing bridges Great Ideas in Theoretical Computer Science. Lecture 12: Graphs I: The Basics. Königsberg (Prussia)

Crossing bridges. Crossing bridges Great Ideas in Theoretical Computer Science. Lecture 12: Graphs I: The Basics. Königsberg (Prussia) 15-251 Great Ideas in Theoretical Computer Science Lecture 12: Graphs I: The Basics February 22nd, 2018 Crossing bridges Königsberg (Prussia) Now Kaliningrad (Russia) Is there a way to walk through the

More information

Graph theory. Po-Shen Loh. June We begin by collecting some basic facts which can be proved via bare-hands techniques.

Graph theory. Po-Shen Loh. June We begin by collecting some basic facts which can be proved via bare-hands techniques. Graph theory Po-Shen Loh June 013 1 Basic results We begin by collecting some basic facts which can be proved via bare-hands techniques. 1. The sum of all of the degrees is equal to twice the number of

More information

Today. Types of graphs. Complete Graphs. Trees. Hypercubes.

Today. Types of graphs. Complete Graphs. Trees. Hypercubes. Today. Types of graphs. Complete Graphs. Trees. Hypercubes. Complete Graph. K n complete graph on n vertices. All edges are present. Everyone is my neighbor. Each vertex is adjacent to every other vertex.

More information

The Complexity of Algorithms (3A) Young Won Lim 4/3/18

The Complexity of Algorithms (3A) Young Won Lim 4/3/18 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

5 Graphs

5 Graphs 5 Graphs jacques@ucsd.edu Some of the putnam problems are to do with graphs. They do not assume more than a basic familiarity with the definitions and terminology of graph theory. 5.1 Basic definitions

More information

Outline. Introduction. Representations of Graphs Graph Traversals. Applications. Definitions and Basic Terminologies

Outline. Introduction. Representations of Graphs Graph Traversals. Applications. Definitions and Basic Terminologies Graph Chapter 9 Outline Introduction Definitions and Basic Terminologies Representations of Graphs Graph Traversals Breadth first traversal Depth first traversal Applications Single source shortest path

More information

Binary Search Tree (2A) Young Won Lim 5/17/18

Binary Search Tree (2A) Young Won Lim 5/17/18 Binary Search Tree (2A) 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

More information