Math Summer 2012

Size: px
Start display at page:

Download "Math Summer 2012"

Transcription

1 Math Summer 2012 Final Exam You have one hour and fifty minutes to complete this exam. You are not allowed to use any electronic device. Be sure to give reasonable justification to all your answers. 1. Show that a connected graph G contains an Eulerian trail if and only if there are at most two vertices of odd degree. ( ) If the trail is a circuit, then there are zero vertices of odd degree. If the trail is not a circuit, then it has end vertices, say u and v. If w u, v is on the trail, then each time the trail comes to w through one edge, it must leave through a different edge. Therefore deg(w) is divisible by two. However, the trail passes through the end vertex and never leaves, and it begins at the start vertex without arriving there first. Therefore, these two vertices have odd degree. ( ) If there are zero vertices of odd degree, then G is Eulerian and the Eulerian circuit is also an Eulerian trail. If there are two vertices of odd degree, say u and v, then there are two cases. Case 1: u and v are adjacent. Form G from G by removing uv. Then every vertex of G has even degree, so it contains an Eulerian circuit. If we reorder the vertices on the circuit so that it starts at v and add uv at the beginning, then we have an Eulerian trail. Case 2: If u and v are not adjacent, form G from G by adding uv. Then G has an Eulerian circuit T. We re-order the circuit so that uv is last, then when uv is removed, we have an Eulerian trail in G. 2. If u and v are adjacent vertices in a graph, prove that their eccentricities differ by at most one. Suppose that u 1 and v 1 are vertices such that ecc(u) = d(u, u 1 ) and ecc(v) = d(v, v 1 ). We know that d(u, u 1 ) d(v, u 1 ) + 1, otherwise there would be a shorter route from u to u 1 by going through v. Similarly, Note that so or d(v, v 1 ) d(u, v 1 ) + 1. ecc(u) = d(u, u 1 ) d(v, u 1 ) + 1 ecc(v) + 1, ecc(v) = d(v, v 1 ) d(u, v 1 ) + 1 ecc(u) + 1. ecc(u) ecc(v) + 1 and ecc(v) ecc(u) + 1, 1 ecc(u) ecc(v) 1, which means that the difference between ecc(u) and ecc(v) is at most one. 3. Find a closed form for the generating function of the sequence {k 2 }. As seen in class, we know that kx k x = (1 x) 2.

2 Let a k = k 2. This sequence satisfies the recurrence relation a k = a k 1 + 2k 1, a 0 = 0. Let G(x) = a k x k. Then G(x) = a k x k = a 0 + a k x k = (a k 1 + 2k 1)x k = x a k x k + x (2k + 1)x k k 1 k 1 This implies that x = xg(x) + 2x (1 x) 2 + x 1 1 x. (1 x)g(x) = 2x2 (1 x) 2 + x 1 x G(x) = 2x2 (1 x) 3 + x (1 x) 2 = 2x2 + x(1 x) (1 x) 3 = x2 + x (1 x) Suppose the integers from 1 to n are arranged in some order around a circle, and let k be an integer with 1 k n. Show that there must exist a sequence of k adjacent numbers in the arrangement whose sum is at least k(n + 1)/2. Let the integers around the circle be labeled as a 1,..., a n. Let s j be the sum of the k adjacent integers starting at a j. Then n n(n + 1) s j = k, 2 i=1 since each number from 1 to n shows up k times in the sum. Then there are kn(n + 1)/2 pigeons that must be distributed between n holes (the s j ). By the Generalized Pigeonhole principle, there must be one s j whose value is at least k(n + 1)/2, and since the s j are integers, we can say it is at least k(n + 1)/2. 5. Assume that a vowel is one of the five letters A, E, I, O, or U. How many eleven letter sequences from the alphabet contain exactly three vowels? [You can assume each letter is only used once in the sequences. Also be aware that order matters here.] There are five vowels, so that leaves us with 21 consonants. Therefore, the number of unordered sequences with three vowels is ( )( ) The number of ways to order the 11 letters in the sequences is 11!. Therefore, the total number of 11 letter sequences with three vowels is ( )( ) ! = 81, 226, 696, 320, Give the definition of each of the following:

3 a) Graph A graph consists of two finite sets, V and E. Each element of V is called a vertex. The elements of E, called edges, are unordered pairs of vertices. b) Walk A walk in which the edges are distinct. c) Circuit A circuit is a trail that begins and ends at the same vertex. d) Eulerian circuit An Eulerian circuit is one that includes every edge of the graph. e) Hamiltonian cycle A Hamiltonian cycle is one that includes every vertex of the graph. f) Spanning tree Given a graph G and a subgraph T, we say that T is a spanning tree of G if T is a tree that contains every vertex of G. g) Distance between vertices In a connected graph G, the distance from vertex u to vertex v is the length (number of edges) of a shortest uv path in G. h) Eccentricity For a given vertex v of a connected graph, the eccentricity of v, denoted ecc(v), is defined to be the greatest distance from v to any other vertex in the graph. i) Adjacency matrix Let G be a graph with vertices v 1, v 2,..., v n. The adjacency matrix of G is the n n matrix A whose (i, j) entry, denoted by [A] i,j, is defined by [A] i,j = { 1 if vi v j E(G) 0 otherwise. j) Digraph A digraph is a graph where the edge set E consists of ordered pairs of vertices. k) Proper coloring We say that a function K : V (G) {1, 2,..., k} is a proper k-coloring of G if for every pair u, v of adjacent vertices, K(u) K(v) that is, if adjacent vertices are colored differently. l) Planar graph A graph G is said to be planar if it can be drawn in the plane in such a way that pairs of edges intersect only at vertices, if at all.

4 m) Characteristic path length The characteristic path length of a graph G, denoted L G, is the average distance between vertices, where the average is taken over all pairs of distinct vertices. n) The pigeonhole principle Let n be a positive integer. If more than n objects are distributed among n containers, then some container must contain more than one object. o) x k We define the falling factorial power x k as a product of k terms beginning with x, with each successive term one less than its predecessor: p) Pascal s triangle k 1 x k = x(x 1) (x k + 1) = (x i). Pascal s triangle is the triangle where the nth row is given by ( ) ( ) ( ) n n n,,..., 0 1 n for n 0. q) Generating function Given a sequence {a k } with k 0, its generating function G(x) is defined by G(x) = a k x k. i=0 r) The set o(g(n)) o(g(n)) = {f(n) : for every ε > 0 there exists n 0 (ε) with f(n) ε g(n) for n n 0 (ε)}. s) The set O(g(n)). O(g(n)) = {f(n) : there exists a constant C > 0 such that f(n) C g(n) for n n 0 }. t) The notation f(n) g(n. We say that f(n) g(n) if and only if lim n f(n) g(n) = 1.

5 7. Write the word True next to each statement that is always true. Write False next to each statement that is not true or is only sometimes true. For a graph G, κ(g) δ(g). False. The reverse inequality was proved in the homework. If v V (G), then N[v] is a connected graph. True. Between any two vertices, there is a path that goes through v. The graph K 2,6 has E 4 as a subgraph. True. Any graph having at least four vertices has E 4 as a subgraph. If G and H are graphs with 3 vertices and E(G) = E(H), then G and H are isomorphic. True. There number of edges completely determines the graph. of k. Let G k be a graph on n vertices that has k edges. Then diam(g k ) is an increasing function False. As more edges are added, the distance between vertices decreases, which means eccentricities decrease, so the diameter decreases. The number of labeled trees on n vertices is the same as the number of distinct orderings of n objects where two of the n objects are identical. False. The first number is n n 2, and the second is n!/2!. If G and H are isomorphic, applying the greedy algorithm to G and H will produce colorings that use the same number of colors. False. The greedy algorithm can use different numbers of colors depending on how the vertices are labeled. If G is a graph generated by a polyhedron, then it is four colorable. True. Such a graph is planar, and therefore 4-colorable. A sequence of positive integers of length 15 must have an increasing subsequence of length 4 or a decreasing subsequence of length 6. False. For the theorem from 2.4 to hold, we would have to more than 15 integers. Thus it is not always true. The number of 5 card hands that can be chosen from m decks is a strictly increasing function of m. False. As we saw, this number is the same whenever m 5.

Part II. Graph Theory. Year

Part 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 information

MATH 363 Final Wednesday, April 28. Final exam. You may use lemmas and theorems that were proven in class and on assignments unless stated otherwise.

MATH 363 Final Wednesday, April 28. Final exam. You may use lemmas and theorems that were proven in class and on assignments unless stated otherwise. Final exam This is a closed book exam. No calculators are allowed. Unless stated otherwise, justify all your steps. You may use lemmas and theorems that were proven in class and on assignments unless stated

More information

Combinatorics Summary Sheet for Exam 1 Material 2019

Combinatorics Summary Sheet for Exam 1 Material 2019 Combinatorics Summary Sheet for Exam 1 Material 2019 1 Graphs Graph An ordered three-tuple (V, E, F ) where V is a set representing the vertices, E is a set representing the edges, and F is a function

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

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

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

CS6702 GRAPH THEORY AND APPLICATIONS QUESTION BANK

CS6702 GRAPH THEORY AND APPLICATIONS QUESTION BANK CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS 1 UNIT I INTRODUCTION CS6702 GRAPH THEORY AND APPLICATIONS QUESTION BANK 1. Define Graph. 2. Define Simple graph. 3. Write few problems

More information

4. (a) Draw the Petersen graph. (b) Use Kuratowski s teorem to prove that the Petersen graph is non-planar.

4. (a) Draw the Petersen graph. (b) Use Kuratowski s teorem to prove that the Petersen graph is non-planar. UPPSALA UNIVERSITET Matematiska institutionen Anders Johansson Graph Theory Frist, KandMa, IT 010 10 1 Problem sheet 4 Exam questions Solve a subset of, say, four questions to the problem session on friday.

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

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

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

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

PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS

PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS PAUL BALISTER Abstract It has been shown [Balister, 2001] that if n is odd and m 1,, m t are integers with m i 3 and t i=1 m i = E(K n) then K n can be decomposed

More information

CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS

CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS 1 UNIT I INTRODUCTION CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS 1. Define Graph. A graph G = (V, E) consists

More information

1 Digraphs. Definition 1

1 Digraphs. Definition 1 1 Digraphs Definition 1 Adigraphordirected graphgisatriplecomprisedofavertex set V(G), edge set E(G), and a function assigning each edge an ordered pair of vertices (tail, head); these vertices together

More information

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions Basic Combinatorics Math 40210, Section 01 Fall 2012 Homework 4 Solutions 1.4.2 2: One possible implementation: Start with abcgfjiea From edge cd build, using previously unmarked edges: cdhlponminjkghc

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

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

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

Discrete mathematics , Fall Instructor: prof. János Pach

Discrete 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 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

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

Chapter 4. Relations & Graphs. 4.1 Relations. Exercises For each of the relations specified below:

Chapter 4. Relations & Graphs. 4.1 Relations. Exercises For each of the relations specified below: Chapter 4 Relations & Graphs 4.1 Relations Definition: Let A and B be sets. A relation from A to B is a subset of A B. When we have a relation from A to A we often call it a relation on A. When we have

More information

Matching and Planarity

Matching and Planarity Matching and Planarity Po-Shen Loh June 010 1 Warm-up 1. (Bondy 1.5.9.) There are n points in the plane such that every pair of points has distance 1. Show that there are at most n (unordered) pairs of

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

Characterizations of Trees

Characterizations of Trees Characterizations of Trees Lemma Every tree with at least two vertices has at least two leaves. Proof. 1. A connected graph with at least two vertices has an edge. 2. In an acyclic graph, an end point

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

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

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

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

UCSD CSE 21, Spring 2014 [Section B00] Mathematics for Algorithm and System Analysis

UCSD CSE 21, Spring 2014 [Section B00] Mathematics for Algorithm and System Analysis UCSD CSE 21, Spring 2014 [Section B00] Mathematics for Algorithm and System Analysis Lecture 16 Class URL: http://vlsicad.ucsd.edu/courses/cse21-s14/ Lecture 16 Notes Goals for this week Graph basics Types

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

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

Instructor: Paul Zeitz, University of San Francisco

Instructor: Paul Zeitz, University of San Francisco Berkeley Math Circle Graph Theory and Ramsey Theory Instructor: Paul Zeitz, University of San Francisco (zeitz@usfca.edu) Definitions 1 A graph is a pair (V,E), where V is a finite set and E is a set of

More information

Exercise set 2 Solutions

Exercise set 2 Solutions Exercise set 2 Solutions Let H and H be the two components of T e and let F E(T ) consist of the edges of T with one endpoint in V (H), the other in V (H ) Since T is connected, F Furthermore, since T

More information

Math 485, Graph Theory: Homework #3

Math 485, Graph Theory: Homework #3 Math 485, Graph Theory: Homework #3 Stephen G Simpson Due Monday, October 26, 2009 The assignment consists of Exercises 2129, 2135, 2137, 2218, 238, 2310, 2313, 2314, 2315 in the West textbook, plus the

More information

SET DEFINITION 1 elements members

SET DEFINITION 1 elements members SETS SET DEFINITION 1 Unordered collection of objects, called elements or members of the set. Said to contain its elements. We write a A to denote that a is an element of the set A. The notation a A denotes

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

IMO Training 2008: Graph Theory

IMO Training 2008: Graph Theory IMO Training 2008: Graph Theory by: Adrian Tang Email: tang @ math.ucalgary.ca This is a compilation of math problems (with motivation towards the training for the International Mathematical Olympiad)

More information

Graph Theory II. Po-Shen Loh. June edges each. Solution: Spread the n vertices around a circle. Take parallel classes.

Graph Theory II. Po-Shen Loh. June edges each. Solution: Spread the n vertices around a circle. Take parallel classes. Graph Theory II Po-Shen Loh June 009 1 Warm-up 1. Let n be odd. Partition the edge set of K n into n matchings with n 1 edges each. Solution: Spread the n vertices around a circle. Take parallel classes..

More information

Some 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. 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 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

Combinatorics Qualifying Exam August, 2016

Combinatorics Qualifying Exam August, 2016 Combinatorics Qualifying Exam August, 2016 This examination consists of two parts, Combinatorics and Graph Theory. Each part contains five problems of which you must select three to do. Each problem is

More information

DO NOT RE-DISTRIBUTE THIS SOLUTION FILE

DO 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 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

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 Questions from Past Papers

Graph Theory Questions from Past Papers Graph Theory Questions from Past Papers Bilkent University, Laurence Barker, 19 October 2017 Do not forget to justify your answers in terms which could be understood by people who know the background theory

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

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

Graph Theory Day Four

Graph Theory Day Four Graph Theory Day Four February 8, 018 1 Connected Recall from last class, we discussed methods for proving a graph was connected. Our two methods were 1) Based on the definition, given any u, v V(G), there

More information

Graph Theory S 1 I 2 I 1 S 2 I 1 I 2

Graph 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 information

CHAPTER 2. Graphs. 1. Introduction to Graphs and Graph Isomorphism

CHAPTER 2. Graphs. 1. Introduction to Graphs and Graph Isomorphism CHAPTER 2 Graphs 1. Introduction to Graphs and Graph Isomorphism 1.1. The Graph Menagerie. Definition 1.1.1. A simple graph G = (V, E) consists of a set V of vertices and a set E of edges, represented

More information

Discrete Structures. Fall Homework3

Discrete Structures. Fall Homework3 Discrete Structures Fall 2015 Homework3 Chapter 5 1. Section 5.1 page 329 Problems: 3,5,7,9,11,15 3. Let P(n) be the statement that 1 2 + 2 2 + +n 2 = n(n + 1)(2n + 1)/6 for the positive integer n. a)

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

BHARATHIDASAN ENGINEERING COLLEGE NATTARAMPALLI Department of Science and Humanities CS6702-GRAPH THEORY AND APPLICATION

BHARATHIDASAN ENGINEERING COLLEGE NATTARAMPALLI Department of Science and Humanities CS6702-GRAPH THEORY AND APPLICATION BHARATHIDASAN ENGINEERING COLLEGE NATTARAMPALLI 635 854 Department of Science and Humanities DEGREE/BRANCH : B.E. CSE YEAR/ SEMESTER : IV/VII. CS6702-GRAPH THEORY AND APPLICATION 1. Define graph. UNIT-I

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

MATH 350 GRAPH THEORY & COMBINATORICS. Contents

MATH 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 information

0.0.1 Network Analysis

0.0.1 Network Analysis Graph Theory 0.0.1 Network Analysis Prototype Example: In Algonquian Park the rangers have set up snowmobile trails with various stops along the way. The system of trails is our Network. The main entrance

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

MC302 GRAPH THEORY SOLUTIONS TO HOMEWORK #1 9/19/13 68 points + 6 extra credit points

MC302 GRAPH THEORY SOLUTIONS TO HOMEWORK #1 9/19/13 68 points + 6 extra credit points MC02 GRAPH THEORY SOLUTIONS TO HOMEWORK #1 9/19/1 68 points + 6 extra credit points 1. [CH] p. 1, #1... a. In each case, for the two graphs you say are isomorphic, justify it by labeling their vertices

More information

ECS 20 Lecture 17b = Discussion D8 Fall Nov 2013 Phil Rogaway

ECS 20 Lecture 17b = Discussion D8 Fall Nov 2013 Phil Rogaway 1 ECS 20 Lecture 17b = Discussion D8 Fall 2013 25 Nov 2013 Phil Rogaway Today: Using discussion section to finish up graph theory. Much of these notes the same as those prepared for last lecture and the

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

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

Module 11. Directed Graphs. Contents

Module 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 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

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

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

List 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. 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 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

Discrete Mathematics Course Review 3

Discrete Mathematics Course Review 3 21-228 Discrete Mathematics Course Review 3 This document contains a list of the important definitions and theorems that have been covered thus far in the course. It is not a complete listing of what has

More information

Bounds on distances for spanning trees of graphs. Mr Mthobisi Luca Ntuli

Bounds on distances for spanning trees of graphs. Mr Mthobisi Luca Ntuli Bounds on distances for spanning trees of graphs Mr Mthobisi Luca Ntuli March 8, 2018 To Mphemba Legacy iii Acknowledgments I would like to thank my supervisors, Dr MJ Morgan and Prof S Mukwembi. It

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

r=1 The Binomial Theorem. 4 MA095/98G Revision

r=1 The Binomial Theorem. 4 MA095/98G Revision Revision Read through the whole course once Make summary sheets of important definitions and results, you can use the following pages as a start and fill in more yourself Do all assignments again Do the

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

1. The following graph is not Eulerian. Make it into an Eulerian graph by adding as few edges as possible.

1. The following graph is not Eulerian. Make it into an Eulerian graph by adding as few edges as possible. 1. The following graph is not Eulerian. Make it into an Eulerian graph by adding as few edges as possible. A graph is Eulerian if it has an Eulerian circuit, which occurs if the graph is connected and

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

STUDENT NUMBER: MATH Final Exam. Lakehead University. April 13, Dr. Adam Van Tuyl

STUDENT NUMBER: MATH Final Exam. Lakehead University. April 13, Dr. Adam Van Tuyl Page 1 of 13 NAME: STUDENT NUMBER: MATH 1281 - Final Exam Lakehead University April 13, 2011 Dr. Adam Van Tuyl Instructions: Answer all questions in the space provided. If you need more room, answer on

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

8.2 Paths and Cycles

8.2 Paths and Cycles 8.2 Paths and Cycles Degree a b c d e f Definition The degree of a vertex is the number of edges incident to it. A loop contributes 2 to the degree of the vertex. (G) is the maximum degree of G. δ(g) is

More information

Week 12: Trees; Review. 22 and 24 November, 2017

Week 12: Trees; Review. 22 and 24 November, 2017 (1/24) MA284 : Discrete Mathematics Week 12: Trees; Review http://www.maths.nuigalway.ie/~niall/ma284/ 22 and 24 November, 2017 C C C C 1 Trees Recall... Applications: Chemistry Applications: Decision

More information

Math 15 - Spring Homework 2.6 Solutions 1. (2.6 # 20) The following graph has 45 vertices. In Sagemath, we can define it like so:

Math 15 - Spring Homework 2.6 Solutions 1. (2.6 # 20) The following graph has 45 vertices. In Sagemath, we can define it like so: Math 15 - Spring 2017 - Homework 2.6 Solutions 1. (2.6 # 20) The following graph has 45 vertices. In Sagemath, we can define it like so: dm = {0: [1,15], 1: [2,16,31], 2: [3,17,32], 3: [4,18,33], 4: [5,19,34],

More information

Math Circles: Pigeons and Rams(ey)

Math Circles: Pigeons and Rams(ey) Math Circles: Pigeons and Rams(ey) M. Victor Wickerhauser Sunday, October 2nd, 2016 The Pigeonhole Principle is an accepted fact about finite sets, stating that if a collection of N sets (think pigeonholes

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

ASSIGNMENT 4 SOLUTIONS

ASSIGNMENT 4 SOLUTIONS MATH 71 ASSIGNMENT SOLUTIONS 1. If F : X X is a function, define f (x) to be (f f)(x), and inductively define f k (x) (f f k 1 )(x) for each integer k. (So f (x) (f f )(x) f(f(f(x))) for instance.) We

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

Degree of nonsimple graphs. Chemistry questions. Degree Sequences. Pigeon party.

Degree of nonsimple graphs. Chemistry questions. Degree Sequences. Pigeon party. 1. WEEK 1 PROBLEMS 1.1. Degree of nonsimple graphs. In the lecture notes we defined the degree d(v) of a vertex v to be the number of vertices adjacent to v. To see why Euler s theorem doesn t hold for

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

Final 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. 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 information

Combinatorics: The Fine Art of Counting

Combinatorics: The Fine Art of Counting Combinatorics: The Fine Art of Counting Week Eight Problems 1. Diagrams of all the distinct non-isomorphic trees on 6 or fewer vertices are listed in the lecture notes. Extend this list by drawing all

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

Average D-distance Between Edges of a Graph

Average D-distance Between Edges of a Graph Indian Journal of Science and Technology, Vol 8(), 5 56, January 05 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 OI : 07485/ijst/05/v8i/58066 Average -distance Between Edges of a Graph Reddy Babu

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

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

Uncharted Territory of Zero Divisor Graphs and Their Complements

Uncharted Territory of Zero Divisor Graphs and Their Complements Uncharted Territory of Zero Divisor Graphs and Their Complements Amanda Phillips, Julie Rogers, Kevin Tolliver, and Frances Worek July, 004 Abstract Let Γ(Z n ) be a zero divisor graph whose vertices are

More information

DO NOT RE-DISTRIBUTE THIS SOLUTION FILE

DO 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 information

Planar graphs. Math Prof. Kindred - Lecture 16 Page 1

Planar 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 information

Discrete Math: Selected Homework Problems

Discrete Math: Selected Homework Problems Discrete Math: Selected Homework Problems 2006 2.1 Prove: if d is a common divisor of a and b and d is also a linear combination of a and b then d is a greatest common divisor of a and b. (5 3.1 Prove:

More information

Extra Practice Problems 2

Extra Practice Problems 2 CS103 Handout 31 Fall 2018 October 29, 2018 Extra Practice Problems 2 Here's a set of a bunch of practice problems you can work through to solidify your understanding of the topics from Problem Sets Three,

More information

Weak Dynamic Coloring of Planar Graphs

Weak Dynamic Coloring of Planar Graphs Weak Dynamic Coloring of Planar Graphs Caroline Accurso 1,5, Vitaliy Chernyshov 2,5, Leaha Hand 3,5, Sogol Jahanbekam 2,4,5, and Paul Wenger 2 Abstract The k-weak-dynamic number of a graph G is the smallest

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