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

Size: px
Start display at page:

Download "Relations MATH Relations. Benjamin V.C. Collins, James A. Swenson MATH 2730"

Transcription

1 MATH 2730 Benjamin V.C. Collins James A. Swenson

2 among integers equals a = b is true for some pairs (a, b) Z Z, but not for all pairs. is less than a < b is true for some pairs (a, b) Z Z, but not for all pairs. divides a b is true for some pairs (a, b) Z Z, but not for all pairs.

3 A relation is a set of ordered pairs. Given sets A and B, a relation from A to B is a subset of A B. Given a set A, a relation on A is a subset of A A. How does this definition correspond to the examples? equals is less than divides

4 equals is a relation on Z We see equals as a relation on Z, which means a subset of Z Z: {..., ( 2, 2), ( 1, 1), (0, 0), (1, 1), (2, 2),... }

5 is less than is a relation on Z We see is less than as a relation on Z: {(a, b) Z Z : a < b}

6 divides is a relation on Z We see divides as a relation on Z: {(a, b) Z Z : a b}

7 There are relations in every A B Given A = {1, 2, 3, 4} and B = {5, 6, 7}, is a relation from A to B: = {(1, 5), (1, 6), (3, 7), (4, 6), (4, 7)}

8 Many familiar things are relations is a relation from Z to the power set 2 Z. (Or you could replace Z by any other set.) One element of is (4, {2, 4, 6}).

9 Infix notation We often write arb as a shorthand for (a, b) R, and a R b when (a, b) R. Familiar examples a = b; a < b; a b 4 {2, 4, 6}

10 Infix notation We often write arb as a shorthand for (a, b) R, and a R b when (a, b) R. Another example Given A = {1, 2, 3, 4} and B = {5, 6, 7}, is a relation from A to B: = {(1, 5), (1, 6), (3, 7), (4, 6), (4, 7)} We say (for example) that 3 7, but 2 5.

11 Defining our own relation Example Let s define a relation on 2 Z called. Given sets U and V, we say U V provided U V. For example, {1, 3, 5} {3, 4, 5}. Equivalently, ({1, 3, 5}, {3, 4, 5}). On the other hand, Z.

12 The inverse of a relation Let R be a relation from A to B. The inverse of R is R 1 = {(b, a) B A : (a, b) R}. Example If = {(1, 5), (1, 6), (3, 7), (4, 6), (4, 7)}, then 1 = {(5, 1), (6, 1), (7, 3), (6, 4), (7, 4)}.

13 The inverse of a relation Let R be a relation from A to B. The inverse of R is R 1 = {(b, a) B A : (a, b) R}. Puzzles What are the inverses of the following relations? = < (Recall: U V provided U V.)

14 Reflexive and irreflexive Let A be any set, and let R be a relation on A (so R A A). The relation R is reflexive provided x A, xrx. The relation R is irreflexive provided x A, x R x. Can you visualize these properties in terms of the graph of R? Most relations are neither reflexive nor irreflexive!

15 Symmetric and antisymmetric R is symmetric provided x A, y A, (xry) (yrx). R is antisymmetric provided: x A, y A, (xry) (yrx) x = y. Can you visualize these properties in terms of the graph of R?

16 Symmetric and antisymmetric R is symmetric provided x A, y A, (xry) (yrx). R is antisymmetric provided: x A, y A, (xry) (yrx) x = y. Can you visualize these properties in terms of the graph of R? Most relations are neither symmetric nor antisymmetric!

17 Symmetric and antisymmetric R is symmetric provided x A, y A, (xry) (yrx). R is antisymmetric provided: x A, y A, (xry) (yrx) x = y. Can you visualize these properties in terms of the graph of R? Most relations are neither symmetric nor antisymmetric! Antisymmetric does not quite mean (xry) (y R x).

18 Transitive R is transitive provided: x A, y A, z A, (xry) (yrz) (xrz). You probably can t visualize this property in terms of the graph of R.

19 Examples Refl. Irref. Symm. A-S. Trans. = " % " " " < % " % " " " % % " " " % % % " % % " % %

20 A mystery property What would be a good name for the following property? R is a function provided: x A, y A, z A, (xry) (xrz) (y = z).

Relations (3A) Young Won Lim 3/27/18

Relations (3A) Young Won Lim 3/27/18 Relations (3A) 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

MATH 433 Applied Algebra Lecture 14: Functions. Relations.

MATH 433 Applied Algebra Lecture 14: Functions. Relations. MATH 433 Applied Algebra Lecture 14: Functions. Relations. Cartesian product Definition. The Cartesian product X Y of two sets X and Y is the set of all ordered pairs (x,y) such that x X and y Y. The Cartesian

More information

Relations and Equivalence Relations

Relations and Equivalence Relations Relations and Equivalence Relations In this section, we shall introduce a formal definition for the notion of a relation on a set. This is something we often take for granted in elementary algebra courses,

More information

Foundations of algebra

Foundations of algebra Foundations of algebra Equivalence relations - suggested problems - solutions P1: There are several relations that you are familiar with: Relations on R (or any of its subsets): Equality. Symbol: x = y.

More information

9 RELATIONS. 9.1 Reflexive, symmetric and transitive relations. MATH Foundations of Pure Mathematics

9 RELATIONS. 9.1 Reflexive, symmetric and transitive relations. MATH Foundations of Pure Mathematics MATH10111 - Foundations of Pure Mathematics 9 RELATIONS 9.1 Reflexive, symmetric and transitive relations Let A be a set with A. A relation R on A is a subset of A A. For convenience, for x, y A, write

More information

3. R = = on Z. R, S, A, T.

3. R = = on Z. R, S, A, T. 6 Relations Let R be a relation on a set A, i.e., a subset of AxA. Notation: xry iff (x, y) R AxA. Recall: A relation need not be a function. Example: The relation R 1 = {(x, y) RxR x 2 + y 2 = 1} is not

More information

Generating Permutations and Combinations

Generating Permutations and Combinations Generating Permutations and Combinations March 0, 005 Generating Permutations We have learned that there are n! permutations of {,,, n} It is important in many instances to generate a list of such permutations

More information

Sets. A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set.

Sets. A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set. Sets A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set. If A and B are sets, then the set of ordered pairs each

More information

Relations. P. Danziger. We may represent a relation by a diagram in which a line is drawn between two elements if they are related.

Relations. P. Danziger. We may represent a relation by a diagram in which a line is drawn between two elements if they are related. - 10 Relations P. Danziger 1 Relations (10.1) Definition 1 1. A relation from a set A to a set B is a subset R of A B. 2. Given (x, y) R we say that x is related to y and write xry. 3. If (x, y) R we say

More information

Chapter 6. Relations. 6.1 Relations

Chapter 6. Relations. 6.1 Relations Chapter 6 Relations Mathematical relations are an extremely general framework for specifying relationships between pairs of objects. This chapter surveys the types of relations that can be constructed

More information

Chapter 3. Cartesian Products and Relations. 3.1 Cartesian Products

Chapter 3. Cartesian Products and Relations. 3.1 Cartesian Products Chapter 3 Cartesian Products and Relations The material in this chapter is the first real encounter with abstraction. Relations are very general thing they are a special type of subset. After introducing

More information

Discrete Mathematics with Applications MATH236

Discrete Mathematics with Applications MATH236 Discrete Mathematics with Applications MATH236 Dr. Hung P. Tong-Viet School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Pietermaritzburg Campus Semester 1, 2013 Tong-Viet

More information

Lecture 7: Relations

Lecture 7: Relations Lecture 7: Relations 1 Relation Relation between two objects signify some connection between them. For example, relation of one person being biological parent of another. If we take any two people at random,

More information

Week 4-5: Generating Permutations and Combinations

Week 4-5: Generating Permutations and Combinations Week 4-5: Generating Permutations and Combinations February 27, 2017 1 Generating Permutations We have learned that there are n! permutations of {1, 2,...,n}. It is important in many instances to generate

More information

Economics 204 Summer/Fall 2017 Lecture 1 Monday July 17, 2017

Economics 204 Summer/Fall 2017 Lecture 1 Monday July 17, 2017 Economics 04 Summer/Fall 07 Lecture Monday July 7, 07 Section.. Methods of Proof We begin by looking at the notion of proof. What is a proof? Proof has a formal definition in mathematical logic, and a

More information

EQUIVALENCE RELATIONS (NOTES FOR STUDENTS) 1. RELATIONS

EQUIVALENCE RELATIONS (NOTES FOR STUDENTS) 1. RELATIONS EQUIVALENCE RELATIONS (NOTES FOR STUDENTS) LIOR SILBERMAN Version 1.0 compiled September 9, 2015. 1.1. List of examples. 1. RELATIONS Equality of real numbers: for some x,y R we have x = y. For other pairs

More information

Real Analysis. Joe Patten August 12, 2018

Real Analysis. Joe Patten August 12, 2018 Real Analysis Joe Patten August 12, 2018 1 Relations and Functions 1.1 Relations A (binary) relation, R, from set A to set B is a subset of A B. Since R is a subset of A B, it is a set of ordered pairs.

More information

Reading 11 : Relations and Functions

Reading 11 : Relations and Functions CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Reading 11 : Relations and Functions Instructor: Beck Hasti and Gautam Prakriya In reading 3, we described a correspondence between predicates

More information

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

Contradiction MATH Contradiction. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Contradiction Benjamin V.C. Collins James A. Swenson Contrapositive The contrapositive of the statement If A, then B is the statement If not B, then not A. A statement and its contrapositive

More information

CHAPTER 1. Relations. 1. Relations and Their Properties. Discussion

CHAPTER 1. Relations. 1. Relations and Their Properties. Discussion CHAPTER 1 Relations 1. Relations and Their Properties 1.1. Definition of a Relation. Definition 1.1.1. A binary relation from a set A to a set B is a subset R A B. If (a, b) R we say a is Related to b

More information

Engineering Decisions

Engineering Decisions GSOE9210 vicj@cse.unsw.edu.au www.cse.unsw.edu.au/~gs9210 1 Preferences to values Outline 1 Preferences to values Evaluating outcomes and actions Example (Bus or train?) Would Alice prefer to catch the

More information

Packet #5: Binary Relations. Applied Discrete Mathematics

Packet #5: Binary Relations. Applied Discrete Mathematics Packet #5: Binary Relations Applied Discrete Mathematics Table of Contents Binary Relations Summary Page 1 Binary Relations Examples Page 2 Properties of Relations Page 3 Examples Pages 4-5 Representations

More information

Worksheet on Relations

Worksheet on Relations Worksheet on Relations Recall the properties that relations can have: Definition. Let R be a relation on the set A. R is reflexive if for all a A we have ara. R is irreflexive or antireflexive if for all

More information

What are relations? f: A B

What are relations? f: A B What are relations? Ch 9.1 What are relations? Notation Informally, a relation is a set of pairs of objects (or in general, set of n-tuples) that are related to each other by some rule. We will focus first

More information

Relations --- Binary Relations. Debdeep Mukhopadhyay IIT Madras

Relations --- Binary Relations. Debdeep Mukhopadhyay IIT Madras Relations --- Binary Relations Debdeep Mukhopadhyay IIT Madras What is a relation? The mathematical concept of relation is based on the common notion of relationships among objects: One box is heavier

More information

Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3)

Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3) Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3) CmSc 365 Theory of Computation 1. Relations Definition: Let A and B be two sets. A relation R from A to B is any set of ordered pairs

More information

Discrete Structures May 13, (40 points) Define each of the following terms:

Discrete Structures May 13, (40 points) Define each of the following terms: Discrete Structures May 13, 2014 Prof Feighn Final Exam 1. (40 points) Define each of the following terms: (a) (binary) relation: A binary relation from a set X to a set Y is a subset of X Y. (b) function:

More information

RED. Fall 2016 Student Submitted Sample Questions

RED. Fall 2016 Student Submitted Sample Questions RED Fall 2016 Student Submitted Sample Questions Name: Last Update: November 22, 2016 The questions are divided into three sections: True-false, Multiple Choice, and Written Answer. I will add questions

More information

Chapter VI. Relations. Assumptions are the termites of relationships. Henry Winkler

Chapter VI. Relations. Assumptions are the termites of relationships. Henry Winkler Chapter VI Relations Assumptions are the termites of relationships. Henry Winkler Studying relationships between objects can yield important information about the objects themselves. In the real numbers,

More information

Relations Graphical View

Relations Graphical View Introduction Relations Computer Science & Engineering 235: Discrete Mathematics Christopher M. Bourke cbourke@cse.unl.edu Recall that a relation between elements of two sets is a subset of their Cartesian

More information

Solutions to In Class Problems Week 4, Mon.

Solutions to In Class Problems Week 4, Mon. Massachusetts Institute of Technology 6.042J/18.062J, Fall 05: Mathematics for Computer Science September 26 Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld revised September 26, 2005, 1050 minutes Solutions

More information

CSC Discrete Math I, Spring Relations

CSC Discrete Math I, Spring Relations CSC 125 - Discrete Math I, Spring 2017 Relations Binary Relations Definition: A binary relation R from a set A to a set B is a subset of A B Note that a relation is more general than a function Example:

More information

Discrete Mathematics Fall 2018 Midterm Exam Prof. Callahan. Section: NetID: Multiple Choice Question (30 questions in total, 4 points each)

Discrete Mathematics Fall 2018 Midterm Exam Prof. Callahan. Section: NetID: Multiple Choice Question (30 questions in total, 4 points each) Discrete Mathematics Fall 2018 Midterm Exam Prof. Callahan Section: NetID: Name: Multiple Choice Question (30 questions in total, 4 points each) 1 Consider the following propositions: f: The student got

More information

MAD 3105 PRACTICE TEST 2 SOLUTIONS

MAD 3105 PRACTICE TEST 2 SOLUTIONS MAD 3105 PRACTICE TEST 2 SOLUTIONS 1. Let R be the relation defined below. Determine which properties, reflexive, irreflexive, symmetric, antisymmetric, transitive, the relation satisfies. Prove each answer.

More information

Rough Soft Sets: A novel Approach

Rough Soft Sets: A novel Approach International Journal of Computational pplied Mathematics. ISSN 1819-4966 Volume 12, Number 2 (2017), pp. 537-543 Research India Publications http://www.ripublication.com Rough Soft Sets: novel pproach

More information

Relations. Definition 1 Let A and B be sets. A binary relation R from A to B is any subset of A B.

Relations. Definition 1 Let A and B be sets. A binary relation R from A to B is any subset of A B. Chapter 5 Relations Definition 1 Let A and B be sets. A binary relation R from A to B is any subset of A B. If A = B then a relation from A to B is called is called a relation on A. Examples A relation

More information

CS2013: Relations and Functions

CS2013: Relations and Functions CS2013: Relations and Functions 20/09/16 Kees van Deemter 1 Relations and Functions Some background for CS2013 Necessary for understanding the difference between Deterministic FSAs (DFSAs) and NonDeterministic

More information

Week 4-5: Binary Relations

Week 4-5: Binary Relations 1 Binary Relations Week 4-5: Binary Relations The concept of relation is common in daily life and seems intuitively clear. For instance, let X be the set of all living human females and Y the set of all

More information

Report 1 The Axiom of Choice

Report 1 The Axiom of Choice Report 1 The Axiom of Choice By Li Yu This report is a collection of the material I presented in the first round presentation of the course MATH 2002. The report focuses on the principle of recursive definition,

More information

Chapter 1. Sets and Numbers

Chapter 1. Sets and Numbers Chapter 1. Sets and Numbers 1. Sets A set is considered to be a collection of objects (elements). If A is a set and x is an element of the set A, we say x is a member of A or x belongs to A, and we write

More information

Relations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples.

Relations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations use ordered tuples to represent relationships among

More information

Definition: A binary relation R from a set A to a set B is a subset R A B. Example:

Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Chapter 9 1 Binary Relations Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Let A = {0,1,2} and B = {a,b} {(0, a), (0, b), (1,a), (2, b)} is a relation from A to B.

More information

XMA2C011, Annual Examination 2012: Worked Solutions

XMA2C011, Annual Examination 2012: Worked Solutions XMA2C011, Annual Examination 2012: Worked Solutions David R. Wilkins 1. (a) Let A, B and C be sets. Prove that A (B \ C) = (A B) \ (A C). We show that every element of A (B \ C) is an element of (A B)

More information

SYSTEMS ANALYSIS LECTURE 2 SYSTEM IDENTIFICATION. Zuzana Bělinová

SYSTEMS ANALYSIS LECTURE 2 SYSTEM IDENTIFICATION. Zuzana Bělinová SYSTEMS ANALYSIS LECTURE 2 SYSTEM IDENTIFICATION Zuzana Bělinová Summary Extended Inductive Definition of System S = (A/F, R/P, M,,, I) Summary - system identification 1. Choice of the level of distinguish

More information

HL Test 2018 Sets, Relations and Groups [50 marks]

HL Test 2018 Sets, Relations and Groups [50 marks] HL Test 2018 Sets, Relations and Groups [50 marks] The binary operation multiplication modulo 10, denoted by 10, is defined on the set T = {2, 4, 6, 8} and represented in the following Cayley table. 1a.

More information

Notes. Relations. Introduction. Notes. Relations. Notes. Definition. Example. Slides by Christopher M. Bourke Instructor: Berthe Y.

Notes. Relations. Introduction. Notes. Relations. Notes. Definition. Example. Slides by Christopher M. Bourke Instructor: Berthe Y. Relations Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Spring 2006 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 7.1, 7.3 7.5 of Rosen cse235@cse.unl.edu

More information

Guide to Proofs on Discrete Structures

Guide to Proofs on Discrete Structures CS103 Handout 17 Spring 2018 Guide to Proofs on Discrete Structures In Problem Set One, you got practice with the art of proofwriting in general (as applied to numbers, sets, puzzles, etc.) Problem Set

More information

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

Connection MATH Connection. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Benjamin V.C. Collins James A. Swenson Traveling Salesman Problem Image: Padberg-Rinaldi, 1987: 532 cities http://www.tsp.gatech.edu/data/usa/tours.html Walks in a graph Let G = (V, E) be a graph.

More information

Module 2: Language of Mathematics

Module 2: Language of Mathematics Module 2: Language of Mathematics Theme 1: Sets A set is a collection of objects. We describe a set by listing all of its elements (if this set is finite and not too big) or by specifying a property that

More information

Discrete Structures (2IT50)

Discrete Structures (2IT50) Discrete Structures (2IT50) Rob Hoogerwoord & Hans Zantema August, 2016 1 2 Contents 0.1 Introduction................................. 5 0.2 Basic set theory............................... 5 0.3 The principle

More information

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes These notes form a brief summary of what has been covered during the lectures. All the definitions must be memorized and understood. Statements

More information

RED. Name: Instructor: Pace Nielsen Math 290 Section 1: Winter 2014 Final Exam

RED. Name: Instructor: Pace Nielsen Math 290 Section 1: Winter 2014 Final Exam RED Name: Instructor: Pace Nielsen Math 290 Section 1: Winter 2014 Final Exam Note that the first 10 questions are true-false. Mark A for true, B for false. Questions 11 through 20 are multiple choice

More information

Binary Relation Review Questions

Binary Relation Review Questions CSE 191 Discrete Structures Fall 2016 Recursive sets Binary Relation Review Questions 1. For each of the relations below, answer the following three questions: Is the relation reflexive? Is the relation

More information

Relationships between elements of sets occur in many contexts. Every day we deal with

Relationships between elements of sets occur in many contexts. Every day we deal with C H A P T E R 9 Relations 9.1 Relations and Their Properties 9.2 n-ary Relations and Their Applications 9.3 Representing Relations 9.4 Closures of Relations 9.5 Equivalence Relations 9.6 Partial Orderings

More information

Week 4-5: Binary Relations

Week 4-5: Binary Relations 1 Binary Relations Week 4-5: Binary Relations The concept of relation is common in daily life and seems intuitively clear. For instance, let X be the set of all living human females and Y the set of all

More information

Section Summary. Relations and Functions Properties of Relations. Combining Relations

Section Summary. Relations and Functions Properties of Relations. Combining Relations Chapter 9 Chapter Summary Relations and Their Properties n-ary Relations and Their Applications (not currently included in overheads) Representing Relations Closures of Relations (not currently included

More information

COMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University

COMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University COMP 182 Algorithmic Thinking Relations Luay Nakhleh Computer Science Rice University Chapter 9, Section 1-6 Reading Material When we defined the Sorting Problem, we stated that to sort the list, the elements

More information

Discrete Structures: Sample Questions, Exam 2, SOLUTIONS

Discrete Structures: Sample Questions, Exam 2, SOLUTIONS Discrete Structures: Sample Questions, Exam 2, SOLUTIONS (This is longer than the actual test.) 1. Show that any postage of 8 cents or more can be achieved by using only -cent and 5-cent stamps. We proceed

More information

Relations. Relations. Definition. Let A and B be sets.

Relations. Relations. Definition. Let A and B be sets. Relations Relations. Definition. Let A and B be sets. A relation R from A to B is a subset R A B. If a A and b B, we write a R b if (a, b) R, and a /R b if (a, b) / R. A relation from A to A is called

More information

Lecture 1. Econ 2001: Introduction to Mathematical Methods (a.k.a. Math Camp) 2015 August 10

Lecture 1. Econ 2001: Introduction to Mathematical Methods (a.k.a. Math Camp) 2015 August 10 Lecture 1 Econ 2001: Introduction to Mathematical Methods (a.k.a. Math Camp) 2015 August 10 Lecture 1 Outline 1 Logistics: Who, Where, When, What, How, Why, Stuff 2 Methods of Proof 3 Sets 4 Binary Relations

More information

HL Topic. Sets, relations and groups. (Further Mathematics SL Topic 3) Sets Ordered pairs Functions Binary operations Groups Further groups

HL Topic. Sets, relations and groups. (Further Mathematics SL Topic 3) Sets Ordered pairs Functions Binary operations Groups Further groups HL Topic (Further Mathematics SL Topic 3) 9 This topic explores the fundamental nature of algebraic structures and the relationships between them. Included is an extension of the work covered in the Core

More information

Systems engineering. Organization of the course, background knowledge Systems analysis introduction L E C T U R E. Ing. Zuzana Bělinová, Ph.D.

Systems engineering. Organization of the course, background knowledge Systems analysis introduction L E C T U R E. Ing. Zuzana Bělinová, Ph.D. L E C T U R E 1 Systems engineering Organization of the course, background knowledge Systems analysis introduction Ing., Ph.D. LECTURE 1 - OVERVIEW Organizational Issues Background knowledge - Systems

More information

Binomial Coefficients MATH Benjamin V.C. Collins, James A. Swenson MATH 2730

Binomial Coefficients MATH Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Benjamin V.C. Collins James A. Swenson Binomial coefficients count subsets Definition Suppose A = n. The number of k-element subsets in A is a binomial coefficient, denoted by ( n k or n C k

More information

The Meet-Over-All-Paths Solution to Data-Flow Problems

The Meet-Over-All-Paths Solution to Data-Flow Problems The Meet-Over-All-Paths Solution to Data-Flow Problems Consider a monotone dataflow framework (L,,F). Assume that the functions f B F represent the effect of a basic block on the sets conatining data for

More information

Sets, Logic, Relations, and Functions

Sets, Logic, Relations, and Functions Sets, Logic, Relations, and Functions Andrew Kay September 28, 2014 Abstract This is an introductory text, not a comprehensive study; these notes contain mainly definitions, basic results, and examples.

More information

Introduction. Foundations of Computing Science. Pallab Dasgupta Professor, Dept. of Computer Sc & Engg INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR

Introduction. Foundations of Computing Science. Pallab Dasgupta Professor, Dept. of Computer Sc & Engg INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR 1 Introduction Foundations of Computing Science Pallab Dasgupta Professor, Dept. of Computer Sc & Engg 2 Comments on Alan Turing s Paper "On Computable Numbers, with an Application to the Entscheidungs

More information

Definitions: A binary relation R on a set X is (a) reflexive if x X : xrx; (f) asymmetric if x, x X : [x Rx xr c x ]

Definitions: A binary relation R on a set X is (a) reflexive if x X : xrx; (f) asymmetric if x, x X : [x Rx xr c x ] Binary Relations Definition: A binary relation between two sets X and Y (or between the elements of X and Y ) is a subset of X Y i.e., is a set of ordered pairs (x, y) X Y. If R is a relation between X

More information

Sets II MATH Sets II. Benjamin V.C. Collins, James A. Swenson MATH 2730

Sets II MATH Sets II. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Sets II Benjamin V.C. Collins James A. Swenson New sets from old Suppose A and B are the sets of multiples of 2 and multiples of 5: A = {n Z : 2 n} = {..., 8, 6, 4, 2, 0, 2, 4, 6, 8,... } B =

More information

ON SOME PROPERTIES OF ROUGH APPROXIMATIONS OF SUBRINGS VIA COSETS

ON SOME PROPERTIES OF ROUGH APPROXIMATIONS OF SUBRINGS VIA COSETS ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS N. 39 2018 (120 127) 120 ON SOME PROPERTIES OF ROUGH APPROXIMATIONS OF SUBRINGS VIA COSETS Madhavi Reddy Research Scholar, JNIAS Budhabhavan, Hyderabad-500085

More information

14 Equivalence Relations

14 Equivalence Relations 14 Equivalence Relations Tom Lewis Fall Term 2010 Tom Lewis () 14 Equivalence Relations Fall Term 2010 1 / 10 Outline 1 The definition 2 Congruence modulo n 3 Has-the-same-size-as 4 Equivalence classes

More information

In mathematics there are endless ways that two entities can be related

In mathematics there are endless ways that two entities can be related CHAPTER 16 Relations In mathematics there are endless ways that two entities can be related to each other. Consider the following mathematical statements. 5 < 10 5 5 6 = 30 5 5 80 7 > 4 x y 8 3 a b ( mod

More information

Discrete Mathematics

Discrete Mathematics Discrete Mathematics Yi Li Software School Fudan University June 12, 2017 Yi Li (Fudan University) Discrete Mathematics June 12, 2017 1 / 16 Review Soundness and Completeness Theorem Compactness Theorem

More information

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December Points Possible

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December 2016 Question Points Possible Points Received 1 12 2 14 3 14 4 12 5 16 6 16 7 16 Total 100 Instructions: 1. This exam

More information

Seminaar Abstrakte Wiskunde Seminar in Abstract Mathematics Lecture notes in progress (27 March 2010)

Seminaar Abstrakte Wiskunde Seminar in Abstract Mathematics Lecture notes in progress (27 March 2010) http://math.sun.ac.za/amsc/sam Seminaar Abstrakte Wiskunde Seminar in Abstract Mathematics 2009-2010 Lecture notes in progress (27 March 2010) Contents 2009 Semester I: Elements 5 1. Cartesian product

More information

a + b = b + a and a b = b a. (a + b) + c = a + (b + c) and (a b) c = a (b c). a (b + c) = a b + a c and (a + b) c = a c + b c.

a + b = b + a and a b = b a. (a + b) + c = a + (b + c) and (a b) c = a (b c). a (b + c) = a b + a c and (a + b) c = a c + b c. Properties of the Integers The set of all integers is the set and the subset of Z given by Z = {, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, }, N = {0, 1, 2, 3, 4, }, is the set of nonnegative integers (also called

More information

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December Points Possible

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December 2016 Question Points Possible Points Received 1 12 2 14 3 14 4 12 5 16 6 16 7 16 Total 100 Instructions: 1. This exam

More information

Properties of the Integers

Properties of the Integers Properties of the Integers The set of all integers is the set and the subset of Z given by Z = {, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, }, N = {0, 1, 2, 3, 4, }, is the set of nonnegative integers (also called

More information

.. Discrete Mathematics. Yi Li. June 9, Software School Fudan University. Yi Li (Fudan University) Discrete Mathematics June 9, / 15

.. Discrete Mathematics. Yi Li. June 9, Software School Fudan University. Yi Li (Fudan University) Discrete Mathematics June 9, / 15 Discrete Mathematics Yi Li Software School Fudan University June 9, 2013 Yi Li (Fudan University) Discrete Mathematics June 9, 2013 1 / 15 Review Soundness and Completeness Theorem Compactness Theorem

More information

Outline Inverse of a Relation Properties of Relations. Relations. Alice E. Fischer. April, 2018

Outline Inverse of a Relation Properties of Relations. Relations. Alice E. Fischer. April, 2018 Relations Alice E. Fischer April, 2018 1 Inverse of a Relation 2 Properties of Relations The Inverse of a Relation Let R be a relation from A to B. Define the inverse relation, R 1 from B to A as follows.

More information

Acyclic and indifference-transitive collective choice functions.

Acyclic and indifference-transitive collective choice functions. University of Louisville ThinkIR: The University of Louisville's Institutional Repository Electronic Theses and Dissertations 8-2014 Acyclic and indifference-transitive collective choice functions. Katey

More information

E QUI VA LENCE RE LA TIONS AND THE CATEGORIZATION OF MATHEMATICAL OBJECTS

E QUI VA LENCE RE LA TIONS AND THE CATEGORIZATION OF MATHEMATICAL OBJECTS E QUI VA LENCE RE LA TIONS AND THE CATEGORIZATION OF MATHEMATICAL OBJECTS ANTON DOCHTERMANN Abstract. In [2] Lakoff and Nuñez develop a basis for the cognitive science of embodied mathematics. For them,

More information

Math Introduction to Logic Final Exam

Math Introduction to Logic Final Exam Math 2283 - Introduction to Logic Final Exam Assigned: 2018.11.26 Due: 2018.12.10 at 08:00 Instructions: Work on this by yourself, the only person you may contact in any way to discuss or ask questions

More information

The main limitation of the concept of a. function

The main limitation of the concept of a. function Relations The main limitation of the concept of a A function, by definition, assigns one output to each input. This means that a function cannot model relationships between sets where some objects on each

More information

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction Copyright & License Copyright c 2007 Jason Underdown Some rights reserved. statement sentential connectives negation conjunction disjunction implication or conditional antecedant & consequent hypothesis

More information

Equivalence relations

Equivalence relations Equivalence relations R A A is an equivalence relation if R is 1. reflexive (a, a) R 2. symmetric, and (a, b) R (b, a) R 3. transitive. (a, b), (b, c) R (a, c) R Example: Let S be a relation on people

More information

SOME TRANSFINITE INDUCTION DEDUCTIONS

SOME TRANSFINITE INDUCTION DEDUCTIONS SOME TRANSFINITE INDUCTION DEDUCTIONS SYLVIA DURIAN Abstract. This paper develops the ordinal numbers and transfinite induction, then demonstrates some interesting applications of transfinite induction.

More information

Exercise 1.2. Suppose R, Q are two binary relations on X. Prove that, given our notation, the following are equivalent:

Exercise 1.2. Suppose R, Q are two binary relations on X. Prove that, given our notation, the following are equivalent: 1 Binary relations Definition 1.1. R X Y is a binary relation from X to Y. We write xry if (x, y) R and not xry if (x, y) / R. When X = Y and R X X, we write R is a binary relation on X. Exercise 1.2.

More information

Problem 2: (Section 2.1 Exercise 10) (a.) How many elements are in the power set of the power set of the empty set?

Problem 2: (Section 2.1 Exercise 10) (a.) How many elements are in the power set of the power set of the empty set? Assignment 4 Solutions Problem1: (Section 2.1 Exercise 9) (a.) List all the subsets of the set {a, b, c, d} which contain: (i.) four elements (ii.) three elements (iii.) two elements (iv.) one element

More information

CIS102 Mathematics for computing volume 2 (Revised draft 8/1/05)

CIS102 Mathematics for computing volume 2 (Revised draft 8/1/05) BSc and Diploma in Computing and Information Systems CIS102 Mathematics for computing volume 2 (Revised draft 8/1/05) Subject guide Written by P. Heidtmann, Mid Sweden University, B. Jackson, Queen Mary

More information

CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November Points Possible

CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November 2016 Question Points Possible Points Received 1 20 2 12 3 14 4 10 5 8 6 12 7 12 8 12 Total 100 Instructions: 1. This

More information

Discrete Structures: Sample Questions, Exam 2, SOLUTIONS

Discrete Structures: Sample Questions, Exam 2, SOLUTIONS Discrete Structures: Sample Questions, Exam, SOLUTIONS This is longer than the actual test.) 1. List all the strings over X = {a, b, c} of length or less. λ, a, b, c, aa, ab, ac, ba, bb, bc, ca, cb, cc..

More information

Set, functions and Euclidean space. Seungjin Han

Set, functions and Euclidean space. Seungjin Han Set, functions and Euclidean space Seungjin Han September, 2018 1 Some Basics LOGIC A is necessary for B : If B holds, then A holds. B A A B is the contraposition of B A. A is sufficient for B: If A holds,

More information

1. Foundations of Numerics from Advanced Mathematics. Mathematical Essentials and Notation

1. Foundations of Numerics from Advanced Mathematics. Mathematical Essentials and Notation 1. Foundations of Numerics from Advanced Mathematics Mathematical Essentials and Notation Mathematical Essentials and Notation, October 22, 2012 1 The main purpose of this first chapter (about 4 lectures)

More information

Discrete Structures Proofwriting Checklist

Discrete Structures Proofwriting Checklist CS103 Winter 2019 Discrete Structures Proofwriting Checklist Cynthia Lee Keith Schwarz Now that we re transitioning to writing proofs about discrete structures like binary relations, functions, and graphs,

More information

Discrete Mathematics. 2. Relations

Discrete Mathematics. 2. Relations Discrete Mathematics 2. Relations Binary Relations Let A, B be any two sets. A binary relation R from A to B is a subset of A B. E.g., Let < : N N : {(n,m) n < m} The notation a R b or arb means (a,b)îr.

More information

Greatest Common Divisor MATH Greatest Common Divisor. Benjamin V.C. Collins, James A. Swenson MATH 2730

Greatest Common Divisor MATH Greatest Common Divisor. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Greatest Common Divisor Benjamin V.C. Collins James A. Swenson The world s least necessary definition Definition Let a, b Z, not both zero. The largest integer d such that d a and d b is called

More information

Lecture 4: Constructing the Integers, Rationals and Reals

Lecture 4: Constructing the Integers, Rationals and Reals Math/CS 20: Intro. to Math Professor: Padraic Bartlett Lecture 4: Constructing the Integers, Rationals and Reals Week 5 UCSB 204 The Integers Normally, using the natural numbers, you can easily define

More information

(4.2) Equivalence Relations. 151 Math Exercises. Malek Zein AL-Abidin. King Saud University College of Science Department of Mathematics

(4.2) Equivalence Relations. 151 Math Exercises. Malek Zein AL-Abidin. King Saud University College of Science Department of Mathematics King Saud University College of Science Department of Mathematics 151 Math Exercises (4.2) Equivalence Relations Malek Zein AL-Abidin 1440 ه 2018 Equivalence Relations DEFINITION 1 A relation on a set

More information

Forking and Dividing in Random Graphs

Forking and Dividing in Random Graphs Forking and Dividing in Random Graphs Gabriel Conant UIC Graduate Student Conference in Logic University of Notre Dame April 28-29, 2012 Gabriel Conant (UIC) Forking and Dividing in Random Graphs April

More information

REAL REPRESENTATIONS OF PREFERENCES AND APPLICATIONS. Dottorato di ricerca in Assicurazione e Finanza:Matematica e Gestione, Universit`a di Trieste,

REAL REPRESENTATIONS OF PREFERENCES AND APPLICATIONS. Dottorato di ricerca in Assicurazione e Finanza:Matematica e Gestione, Universit`a di Trieste, REAL REPRESENTATIONS OF PREFERENCES AND APPLICATIONS Dottorato di ricerca in Assicurazione e Finanza:Matematica e Gestione, Universit`a di Trieste, ANNO ACCADEMICO 2014-2015, XXVIII ciclo Relatore e Coordinatore:Prof.

More information