Operations on Sets. Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 6, 2012

Size: px
Start display at page:

Download "Operations on Sets. Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 6, 2012"

Transcription

1 on Sets Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 6, 2012 Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

2 Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

3 Often it is convenient to visualize various relations between sets. We use for that A = {1, a, {2, b}} Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

4 Intersection The intersection of sets A and B, denoted by A B, is the set that contains those elements both in A and B A B = {x x A x B} {1, 3, 5, 7} {2, 3, 4, 5, 6} = {3, 5} {Jan, Feb, Dec} {Jan, Feb, Mar} = {Jan, Feb} {x y(x = 2y)} {x y(x = 3y)} = {x y(x = 6y)} Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

5 Union The union of sets A and B, denoted by A B, is the set that contains those elements that are either in A or in B A B = {x x A x B} {1, 3, 5, 7} {2, 3, 4, 5, 6} = {1, 2, 3, 4, 5, 6, 7} {Jan, Feb, Dec} {Jan, Feb, Mar} = {Jan, Feb, Mar, Dec} {x y(x = 2y)} {x y(x = 3y)} = {x y(x = 2y x = 3y)} Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

6 Disjoint Sets A and B are said to be disjoint if A B = {1, 3, 5, 7} {2, 4, 6} = {Jan, Feb, Dec} {May, Aug} = Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

7 Principle of Inclusion-exclusion Principle of inclusion-exclusion For any finite sets A and B A B = A + B A B To count the elements in A B, we first count the elements of A, then the elements of B. Elements of A B are counted twice so we subtract the number of such elements. If A and B are disjoint, then A B = A + B Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

8 Symmetric Difference The symmetric difference of sets A and B denoted by A B, is the set that contains those elements that are either in A or in B, but not in both. A B = {x x A x B} {1, 3, 5, 7} {2, 3, 4, 5, 6} = {1, 2, 4, 6, 7} {Jan, Feb, May} {May, Feb, Aug} = {Jan, Aug} Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

9 Disjoint Sets and Symmetric Difference Theorem Sets A and B are disjoint if and only if A B = A B Proof. Notice first that A B A B. Suppose that A and B are disjoint. To prove the equality, it suffices to show that A B A B. Take x A B. It belongs to A or B, but x / A B, as the intersection is empty. Therefore, x A B. Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

10 Complement Let A be a set and U a universe, A U. The complement of A denoted by A, is the set that contains all elements in U that do not belong to A. A = {x x U x / A} = {x x / A} Let the universe be the set of all integers, and A = {x y x = 2y}. Then A is the set of all odd integers Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

11 Difference The difference of sets A and B denoted by A B, is the set containing those elements in A, but not in B. A B = {x x A x / B} {1, 3, 5} {1, 2, 3} = {5} Clearly, A = U A Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

12 Connection with logic connectives Similar to logic connectives and formulas, expressions built from set operations and sets also satisfy some laws There is a tight connection between set operations and logic connectives corresponds to complement X corresponds to union corresponds to intersection corresponds to symmetric difference 0 corresponds to 1 corresponds to U Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

13 Double Complement law : (A) = A DeMorgan s Laws (A B) = A B (A B) = A B Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

14 (cntd) Commutative laws A B = B A A B = B A Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

15 (cntd) Commutative laws Associative laws A B = B A A B = B A A (B C) = (A B) C A (B C) = (A B) C Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

16 (cntd) Commutative laws Associative laws Distributive laws A B = B A A B = B A A (B C) = (A B) C A (B C) = (A B) C A (B C) = (A B) (A C) A (B C) = (A B) (A C) Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

17 (cntd) Commutative laws Associative laws Distributive laws Idempotent laws A B = B A A B = B A A (B C) = (A B) C A (B C) = (A B) C A (B C) = (A B) (A C) A (B C) = (A B) (A C) A A = A A A = A Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

18 (cntd) Identity laws A = A A U = A Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

19 (cntd) Identity laws Complement laws A = A A U = A A A = U A A = Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

20 (cntd) Identity laws Complement laws Domination laws A = A A U = A A A = U A A = A U = U A = Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

21 (cntd) Identity laws Complement laws Domination laws Absorption laws A = A A U = A A A = U A A = A U = U A = A (A B) = A A (A B) = A Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

22 (cntd) Theorem A B = A B Proof. We will show that A B A B and A B A B. (1) We show that A B A B. Take x A B. By the definition, x / A B. Therefore, x / A or x / B. Hence x A or x B. Thus x A B. (2) We show that A B A B. Take x A B. By definition, x A or x B. Therefore, x / A or x / B. This implies x / A B. And, finally, x A B. Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

23 Another proof Theorem A B = A B Another way to prove equalities in sets is to use the set builder construction and some logic Proof. A B = {x x / A B} by definition of complement = {x (x A B)} by definition of does not belong = {x (x A x B)} by definition of intersection = {x (x A) (x B)} by DeMorgan s Law = {x (x / A) (x / B)} by definition of does not belong = {x (x A) (x B)} by definition of complement = {x x A B} by definition of union = A B Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) on Sets

Orders and Equivalences

Orders and Equivalences and Equivalences Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 9, 2012 Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) and Equivalences Gazihan Alankuş (Based

More information

Discrete Structures of Computer Science Propositional Logic III Rules of Inference

Discrete Structures of Computer Science Propositional Logic III Rules of Inference Discrete Structures of Computer Science Propositional Logic III Rules of Inference Gazihan Alankuş (Based on original slides by Brahim Hnich) July 30, 2012 1 Previous Lecture 2 Summary of Laws of Logic

More information

Discrete Mathematics. (c) Marcin Sydow. Sets. Set operations. Sets. Set identities Number sets. Pair. Power Set. Venn diagrams

Discrete Mathematics. (c) Marcin Sydow. Sets. Set operations. Sets. Set identities Number sets. Pair. Power Set. Venn diagrams Contents : basic definitions and notation A set is an unordered collection of its elements (or members). The set is fully specified by its elements. Usually capital letters are used to name sets and lowercase

More information

A set is an unordered collection of objects.

A set is an unordered collection of objects. Section 2.1 Sets A set is an unordered collection of objects. the students in this class the chairs in this room The objects in a set are called the elements, or members of the set. A set is said to contain

More information

2. Sets. 2.1&2.2: Sets and Subsets. Combining Sets. c Dr Oksana Shatalov, Spring

2. Sets. 2.1&2.2: Sets and Subsets. Combining Sets. c Dr Oksana Shatalov, Spring c Dr Oksana Shatalov, Spring 2015 1 2. Sets 2.1&2.2: Sets and Subsets. Combining Sets. Set Terminology and Notation DEFINITIONS: Set is well-defined collection of objects. Elements are objects or members

More information

BOOLEAN ALGEBRA INTRODUCTION SUBSETS

BOOLEAN ALGEBRA INTRODUCTION SUBSETS BOOLEAN ALGEBRA M. Ragheb 1/294/2018 INTRODUCTION Modern algebra is centered around the concept of an algebraic system: A, consisting of a set of elements: ai, i=1, 2,, which are combined by a set of operations

More information

Sets. Alice E. Fischer. CSCI 1166 Discrete Mathematics for Computing Spring, Outline Sets An Algebra on Sets Summary

Sets. Alice E. Fischer. CSCI 1166 Discrete Mathematics for Computing Spring, Outline Sets An Algebra on Sets Summary An Algebra on Alice E. Fischer CSCI 1166 Discrete Mathematics for Computing Spring, 2018 Alice E. Fischer... 1/37 An Algebra on 1 Definitions and Notation Venn Diagrams 2 An Algebra on 3 Alice E. Fischer...

More information

Statistical Inference

Statistical Inference Statistical Inference Lecture 1: Probability Theory MING GAO DASE @ ECNU (for course related communications) mgao@dase.ecnu.edu.cn Sep. 11, 2018 Outline Introduction Set Theory Basics of Probability Theory

More information

3.4 Set Operations Given a set A, the complement (in the Universal set U) A c is the set of all elements of U that are not in A. So A c = {x x / A}.

3.4 Set Operations Given a set A, the complement (in the Universal set U) A c is the set of all elements of U that are not in A. So A c = {x x / A}. 3.4 Set Operations Given a set, the complement (in the niversal set ) c is the set of all elements of that are not in. So c = {x x /. (This type of picture is called a Venn diagram.) Example 39 Let = {1,

More information

With Question/Answer Animations. Chapter 2

With Question/Answer Animations. Chapter 2 With Question/Answer Animations Chapter 2 Chapter Summary Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Sequences and Summations Types of

More information

4. Sets The language of sets. Describing a Set. c Oksana Shatalov, Fall

4. Sets The language of sets. Describing a Set. c Oksana Shatalov, Fall c Oksana Shatalov, Fall 2017 1 4. Sets 4.1. The language of sets Set Terminology and Notation Set is a well-defined collection of objects. Elements are objects or members of the set. Describing a Set Roster

More information

Set Operations. Combining sets into new sets

Set Operations. Combining sets into new sets Set Operations Combining sets into new sets Union of Sets The union of two sets is the set of all elements that are in one or the other set: A B = {x x A x B} The union is the set theoretic equivalent

More information

4. Sets The language of sets. Describing a Set. c Oksana Shatalov, Fall Set-builder notation (a more precise way of describing a set)

4. Sets The language of sets. Describing a Set. c Oksana Shatalov, Fall Set-builder notation (a more precise way of describing a set) c Oksana Shatalov, Fall 2018 1 4. Sets 4.1. The language of sets Set Terminology and Notation Set is a well-defined collection of objects. Elements are objects or members of the set. Describing a Set Roster

More information

Discrete Basic Structure: Sets

Discrete Basic Structure: Sets KS091201 MATEMATIKA DISKRIT (DISCRETE MATHEMATICS ) Discrete Basic Structure: Sets Discrete Math Team 2 -- KS091201 MD W-07 Outline What is a set? Set properties Specifying a set Often used sets The universal

More information

Sets McGraw-Hill Education

Sets McGraw-Hill Education Sets A set is an unordered collection of objects. The objects in a set are called the elements, or members of the set. A set is said to contain its elements. The notation a A denotes that a is an element

More information

1. SET 10/9/2013. Discrete Mathematics Fajrian Nur Adnan, M.CS

1. SET 10/9/2013. Discrete Mathematics Fajrian Nur Adnan, M.CS 1. SET 10/9/2013 Discrete Mathematics Fajrian Nur Adnan, M.CS 1 Discrete Mathematics 1. Set and Logic 2. Relation 3. Function 4. Induction 5. Boolean Algebra and Number Theory MID 6. Graf dan Tree/Pohon

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I ICS141: Discrete Mathematics for Computer Science I Dept. Information & Computer Sci., Jan Stelovsky based on slides by Dr. Baek and Dr. Still Originals by Dr. M. P. Frank and Dr. J.L. Gross Provided by

More information

MA : Introductory Probability

MA : Introductory Probability MA 320-001: Introductory Probability David Murrugarra Department of Mathematics, University of Kentucky http://www.math.uky.edu/~dmu228/ma320/ Spring 2017 David Murrugarra (University of Kentucky) MA 320:

More information

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions Sets and Functions MATH 464/506, Real Analysis J. Robert Buchanan Department of Mathematics Summer 2007 Notation x A means that element x is a member of set A. x / A means that x is not a member of A.

More information

Sets. Introduction to Set Theory ( 2.1) Basic notations for sets. Basic properties of sets CMSC 302. Vojislav Kecman

Sets. Introduction to Set Theory ( 2.1) Basic notations for sets. Basic properties of sets CMSC 302. Vojislav Kecman Introduction to Set Theory ( 2.1) VCU, Department of Computer Science CMSC 302 Sets Vojislav Kecman A set is a new type of structure, representing an unordered collection (group, plurality) of zero or

More information

CMPSCI 240: Reasoning about Uncertainty

CMPSCI 240: Reasoning about Uncertainty CMPSCI 240: Reasoning about Uncertainty Lecture 2: Sets and Events Andrew McGregor University of Massachusetts Last Compiled: January 27, 2017 Outline 1 Recap 2 Experiments and Events 3 Probabilistic Models

More information

Statistics for Financial Engineering Session 2: Basic Set Theory March 19 th, 2006

Statistics for Financial Engineering Session 2: Basic Set Theory March 19 th, 2006 Statistics for Financial Engineering Session 2: Basic Set Theory March 19 th, 2006 Topics What is a set? Notations for sets Empty set Inclusion/containment and subsets Sample spaces and events Operations

More information

Chapter 1 Math Set: a collection of objects. For example, the set of whole numbers is W = {0, 1, 2, 3, }

Chapter 1 Math Set: a collection of objects. For example, the set of whole numbers is W = {0, 1, 2, 3, } Chapter 1 Math 3201 1 Chapter 1: Set Theory: Organizing information into sets and subsets Graphically illustrating the relationships between sets and subsets using Venn diagrams Solving problems by using

More information

Venn Diagrams; Probability Laws. Notes. Set Operations and Relations. Venn Diagram 2.1. Venn Diagrams; Probability Laws. Notes

Venn Diagrams; Probability Laws. Notes. Set Operations and Relations. Venn Diagram 2.1. Venn Diagrams; Probability Laws. Notes Lecture 2 s; Text: A Course in Probability by Weiss 2.4 STAT 225 Introduction to Probability Models January 8, 2014 s; Whitney Huang Purdue University 2.1 Agenda s; 1 2 2.2 Intersection: the intersection

More information

BASIC MATHEMATICAL TECHNIQUES

BASIC MATHEMATICAL TECHNIQUES CHAPTER 1 ASIC MATHEMATICAL TECHNIQUES 1.1 Introduction To understand automata theory, one must have a strong foundation about discrete mathematics. Discrete mathematics is a branch of mathematics dealing

More information

Chapter Summary. Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability

Chapter Summary. Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability Chapter 2 1 Chapter Summary Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability Sequences and Summations Types of Sequences Summation

More information

Unit 1 Day 1. Set Operations & Venn Diagrams

Unit 1 Day 1. Set Operations & Venn Diagrams Unit 1 Day 1 Set Operations & Venn Diagrams Honors ICM Get out your signed syllabus form Get out paper and a pencil for notes! Has everyone accessed the website? Math Riddles Mr. Smith has 4 daughters.

More information

Chapter-2 SETS In Mathematics, Set theory was developed by George Cantor ( ).

Chapter-2 SETS In Mathematics, Set theory was developed by George Cantor ( ). Chapter-2 SETS In Mathematics, Set theory was developed by George Cantor (1845 1918). Set: A well defined collections of objects is called a Set. Well defined means that (i) (ii) All the objects in the

More information

CHAPTER 1 SETS AND EVENTS

CHAPTER 1 SETS AND EVENTS CHPTER 1 SETS ND EVENTS 1.1 Universal Set and Subsets DEFINITION: set is a well-defined collection of distinct elements in the universal set. This is denoted by capital latin letters, B, C, If an element

More information

Exclusive Disjunction

Exclusive Disjunction Exclusive Disjunction Recall A statement is a declarative sentence that is either true or false, but not both. If we have a declarative sentence s, p: s is true, and q: s is false, can we rewrite s is

More information

Sets are one of the basic building blocks for the types of objects considered in discrete mathematics.

Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Section 2.1 Introduction Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Important for counting. Programming languages have set operations. Set theory

More information

CHAPTER 1. Preliminaries. 1 Set Theory

CHAPTER 1. Preliminaries. 1 Set Theory CHAPTER 1 Preliminaries 1 et Theory We assume that the reader is familiar with basic set theory. In this paragraph, we want to recall the relevant definitions and fix the notation. Our approach to set

More information

Chapter 7. Inclusion-Exclusion a.k.a. The Sieve Formula

Chapter 7. Inclusion-Exclusion a.k.a. The Sieve Formula Chapter 7. Inclusion-Exclusion a.k.a. The Sieve Formula Prof. Tesler Math 184A Fall 2019 Prof. Tesler Ch. 7. Inclusion-Exclusion Math 184A / Fall 2019 1 / 25 Venn diagram and set sizes A = {1, 2, 3, 4,

More information

Discrete Structures of Computer Science Propositional Logic I

Discrete Structures of Computer Science Propositional Logic I Discrete Structures of Computer Science Propositional Logic I Gazihan Alankuş (Based on original slides by Brahim Hnich) July 26, 2012 1 Use of Logic 2 Statements 3 Logic Connectives 4 Truth Tables Use

More information

Fundamentals of Probability CE 311S

Fundamentals of Probability CE 311S Fundamentals of Probability CE 311S OUTLINE Review Elementary set theory Probability fundamentals: outcomes, sample spaces, events Outline ELEMENTARY SET THEORY Basic probability concepts can be cast in

More information

SO x is a cubed root of t

SO x is a cubed root of t 7.6nth Roots 1) What do we know about x because of the following equation x 3 = t? All in one.docx SO x is a cubed root of t 2) Definition of nth root: 3) Study example 1 4) Now try the following problem

More information

Equivalence and Implication

Equivalence and Implication Equivalence and Alice E. Fischer CSCI 1166 Discrete Mathematics for Computing February 7 8, 2018 Alice E. Fischer Laws of Logic... 1/33 1 Logical Equivalence Contradictions and Tautologies 2 3 4 Necessary

More information

Axioms of Probability

Axioms of Probability Sample Space (denoted by S) The set of all possible outcomes of a random experiment is called the Sample Space of the experiment, and is denoted by S. Example 1.10 If the experiment consists of tossing

More information

CS 173: Discrete Structures. Eric Shaffer Office Hour: Wed. 1-2, 2215 SC

CS 173: Discrete Structures. Eric Shaffer Office Hour: Wed. 1-2, 2215 SC CS 173: Discrete Structures Eric Shaffer Office Hour: Wed. 1-2, 2215 SC shaffer1@illinois.edu Agenda Sets (sections 2.1, 2.2) 2 Set Theory Sets you should know: Notation you should know: 3 Set Theory -

More information

Section 1: Sets and Interval Notation

Section 1: Sets and Interval Notation PART 1 From Sets to Functions Section 1: Sets and Interval Notation Introduction Set concepts offer the means for understanding many different aspects of mathematics and its applications to other branches

More information

Introduction to Set Operations

Introduction to Set Operations Introduction to Set Operations CIS008-2 Logic and Foundations of Mathematics David Goodwin david.goodwin@perisic.com 12:00, Friday 21 st October 2011 Outline 1 Recap 2 Introduction to sets 3 Class Exercises

More information

Boolean algebra. Examples of these individual laws of Boolean, rules and theorems for Boolean algebra are given in the following table.

Boolean algebra. Examples of these individual laws of Boolean, rules and theorems for Boolean algebra are given in the following table. The Laws of Boolean Boolean algebra As well as the logic symbols 0 and 1 being used to represent a digital input or output, we can also use them as constants for a permanently Open or Closed circuit or

More information

COMP Logic for Computer Scientists. Lecture 16

COMP Logic for Computer Scientists. Lecture 16 COMP 1002 Logic for Computer Scientists Lecture 16 5 2 J dmin stuff 2 due Feb 17 th. Midterm March 2 nd. Semester break next week! Puzzle: the barber In a certain village, there is a (male) barber who

More information

A B is shaded A B A B

A B is shaded A B A B NION: Let and be subsets of a universal set. The union of sets and is the set of all elements in that belong to or to or to both, and is denoted. Symbolically: = {x x or x } EMMPLE: Let = {a, b, c, d,

More information

Section 1.1 Notes. Real Numbers

Section 1.1 Notes. Real Numbers Section 1.1 Notes Real Numbers 1 Types of Real Numbers The Natural Numbers 1,,, 4, 5, 6,... These are also sometimes called counting numbers. Denoted by the symbol N Integers..., 6, 5, 4,,, 1, 0, 1,,,

More information

2.2: Logical Equivalence: The Laws of Logic

2.2: Logical Equivalence: The Laws of Logic Example (2.7) For primitive statement p and q, construct a truth table for each of the following compound statements. a) p q b) p q Here we see that the corresponding truth tables for two statement p q

More information

Set Theory Basics of Set Theory. 6.2 Properties of Sets and Element Argument. 6.3 Algebraic Proofs 6.4 Boolean Algebras.

Set Theory Basics of Set Theory. 6.2 Properties of Sets and Element Argument. 6.3 Algebraic Proofs 6.4 Boolean Algebras. 9/6/17 Mustafa Jarrar: Lecture Notes in Discrete Mathematics. Birzeit University Palestine 2015 Set Theory 6.1. Basics of Set Theory 6.2 Properties of Sets and Element Argument 6.3 Algebraic Proofs 6.4

More information

Section 2.2 Set Operations. Propositional calculus and set theory are both instances of an algebraic system called a. Boolean Algebra.

Section 2.2 Set Operations. Propositional calculus and set theory are both instances of an algebraic system called a. Boolean Algebra. Section 2.2 Set Operations Propositional calculus and set theory are both instances of an algebraic system called a Boolean Algebra. The operators in set theory are defined in terms of the corresponding

More information

GAMINGRE 8/1/ of 7

GAMINGRE 8/1/ of 7 FYE 09/30/92 JULY 92 0.00 254,550.00 0.00 0 0 0 0 0 0 0 0 0 254,550.00 0.00 0.00 0.00 0.00 254,550.00 AUG 10,616,710.31 5,299.95 845,656.83 84,565.68 61,084.86 23,480.82 339,734.73 135,893.89 67,946.95

More information

Chapter Summary. Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2.

Chapter Summary. Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2. Chapter 2 Chapter Summary Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2.6) Section 2.1 Section Summary Definition of sets Describing

More information

Homework 4 Solutions

Homework 4 Solutions Homework 4 Solutions ECS 20 (Fall 14) Patrice Koehl koehl@cs.ucdavis.edu November 1, 2017 Exercise 1 Let n be an integer. Give a direct proof, an indirect proof, and a proof by contradiction of the statement

More information

Propositional Logic, Predicates, and Equivalence

Propositional Logic, Predicates, and Equivalence Chapter 1 Propositional Logic, Predicates, and Equivalence A statement or a proposition is a sentence that is true (T) or false (F) but not both. The symbol denotes not, denotes and, and denotes or. If

More information

Mathematics Review for Business PhD Students

Mathematics Review for Business PhD Students Mathematics Review for Business PhD Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,

More information

WUCT121. Discrete Mathematics. Numbers

WUCT121. Discrete Mathematics. Numbers WUCT121 Discrete Mathematics Numbers 1. Natural Numbers 2. Integers and Real Numbers 3. The Principle of Mathematical Induction 4. Elementary Number Theory 5. Congruence Arithmetic WUCT121 Numbers 1 Section

More information

CS 2336 Discrete Mathematics

CS 2336 Discrete Mathematics CS 2336 Discrete Mathematics Lecture 9 Sets, Functions, and Relations: Part I 1 What is a Set? Set Operations Identities Cardinality of a Set Outline Finite and Infinite Sets Countable and Uncountable

More information

Sets. We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth

Sets. We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth Sets We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth century. Most students have seen sets before. This is intended

More information

Circles & Interval & Set Notation.notebook. November 16, 2009 CIRCLES. OBJECTIVE Graph a Circle given the equation in standard form.

Circles & Interval & Set Notation.notebook. November 16, 2009 CIRCLES. OBJECTIVE Graph a Circle given the equation in standard form. OBJECTIVE Graph a Circle given the equation in standard form. Write the equation of a circle in standard form given a graph or two points (one being the center). Students will be able to write the domain

More information

Background for Discrete Mathematics

Background for Discrete Mathematics Background for Discrete Mathematics Huck Bennett Northwestern University These notes give a terse summary of basic notation and definitions related to three topics in discrete mathematics: logic, sets,

More information

Chapter 1 : The language of mathematics.

Chapter 1 : The language of mathematics. MAT 200, Logic, Language and Proof, Fall 2015 Summary Chapter 1 : The language of mathematics. Definition. A proposition is a sentence which is either true or false. Truth table for the connective or :

More information

Mathematics Review for Business PhD Students Lecture Notes

Mathematics Review for Business PhD Students Lecture Notes Mathematics Review for Business PhD Students Lecture Notes Anthony M. Marino Department of Finance and Business Economics Marshall School of Business University of Southern California Los Angeles, CA 90089-0804

More information

CISC 1100: Structures of Computer Science

CISC 1100: Structures of Computer Science CISC 1100: Structures of Computer Science Chapter 2 Sets and Sequences Fordham University Department of Computer and Information Sciences Fall, 2010 CISC 1100/Fall, 2010/Chapter 2 1 / 49 Outline Sets Basic

More information

1.1 Introduction to Sets

1.1 Introduction to Sets Math 166 Lecture Notes - S. Nite 8/29/2012 Page 1 of 5 1.1 Introduction to Sets Set Terminology and Notation A set is a well-defined collection of objects. The objects are called the elements and are usually

More information

BOOLEAN ALGEBRA. Introduction. 1854: Logical algebra was published by George Boole known today as Boolean Algebra

BOOLEAN ALGEBRA. Introduction. 1854: Logical algebra was published by George Boole known today as Boolean Algebra BOOLEAN ALGEBRA Introduction 1854: Logical algebra was published by George Boole known today as Boolean Algebra It s a convenient way and systematic way of expressing and analyzing the operation of logic

More information

= A. Example 2. Let U = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, A = {4, 6, 7, 9, 10}, and B = {2, 6, 8, 9}. Draw the sets on a Venn diagram.

= A. Example 2. Let U = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, A = {4, 6, 7, 9, 10}, and B = {2, 6, 8, 9}. Draw the sets on a Venn diagram. MATH 109 Sets A mathematical set is a well-defined collection of objects A for which we can determine precisely whether or not any object belongs to A. Objects in a set are formally called elements of

More information

CSCE 222 Discrete Structures for Computing

CSCE 222 Discrete Structures for Computing CSCE 222 Discrete Structures for Computing Sets and Functions Dr. Hyunyoung Lee Based on slides by Andreas Klappenecker 1 Sets Sets are the most fundamental discrete structure on which all other discrete

More information

Today s topics. Introduction to Set Theory ( 1.6) Naïve set theory. Basic notations for sets

Today s topics. Introduction to Set Theory ( 1.6) Naïve set theory. Basic notations for sets Today s topics Introduction to Set Theory ( 1.6) Sets Definitions Operations Proving Set Identities Reading: Sections 1.6-1.7 Upcoming Functions A set is a new type of structure, representing an unordered

More information

Math 730 Homework 6. Austin Mohr. October 14, 2009

Math 730 Homework 6. Austin Mohr. October 14, 2009 Math 730 Homework 6 Austin Mohr October 14, 2009 1 Problem 3A2 Proposition 1.1. If A X, then the family τ of all subsets of X which contain A, together with the empty set φ, is a topology on X. Proof.

More information

Computer Science Foundation Exam

Computer Science Foundation Exam Computer Science Foundation Exam August 2, 2002 Section II A DISCRETE STRUCTURES NO books, notes, or calculators may be used, and you must work entirely on your own. Name: SSN: In this section of the exam,

More information

DAILY QUESTIONS 28 TH JUNE 18 REASONING - CALENDAR

DAILY QUESTIONS 28 TH JUNE 18 REASONING - CALENDAR DAILY QUESTIONS 28 TH JUNE 18 REASONING - CALENDAR LEAP AND NON-LEAP YEAR *A non-leap year has 365 days whereas a leap year has 366 days. (as February has 29 days). *Every year which is divisible by 4

More information

SETS. JEE-Mathematics

SETS. JEE-Mathematics STS J-Mathematics ST : A set is a collection of well defined objects which are distinct from each other Set are generally denoted by capital letters A, B, C,... etc. and the elements of the set by a, b,

More information

Point sets and certain classes of sets

Point sets and certain classes of sets 1 Point sets and certain classes of sets 1.1 Points, sets and classes We shall consider sets consisting of elements or points. The nature of the points will be left unspecified examples are points in a

More information

Boolean Algebra CHAPTER 15

Boolean Algebra CHAPTER 15 CHAPTER 15 Boolean Algebra 15.1 INTRODUCTION Both sets and propositions satisfy similar laws, which are listed in Tables 1-1 and 4-1 (in Chapters 1 and 4, respectively). These laws are used to define an

More information

Discrete Mathematics Set Operations

Discrete Mathematics Set Operations Discrete Mathematics 1-3. Set Operations Introduction to Set Theory A setis a new type of structure, representing an unordered collection (group, plurality) of zero or more distinct (different) objects.

More information

3. Abstract Boolean Algebras

3. Abstract Boolean Algebras 3. ABSTRACT BOOLEAN ALGEBRAS 123 3. Abstract Boolean Algebras 3.1. Abstract Boolean Algebra. Definition 3.1.1. An abstract Boolean algebra is defined as a set B containing two distinct elements 0 and 1,

More information

Equational Logic. Chapter Syntax Terms and Term Algebras

Equational Logic. Chapter Syntax Terms and Term Algebras Chapter 2 Equational Logic 2.1 Syntax 2.1.1 Terms and Term Algebras The natural logic of algebra is equational logic, whose propositions are universally quantified identities between terms built up from

More information

The Inclusion-Exclusion Principle

The Inclusion-Exclusion Principle The Inclusion-Exclusion Principle Introductory Example Suppose a survey of 100 people asks if they have a cat or dog as a pet. The results are as follows: 55 answered yes for cat, 58 answered yes for dog

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

Today s Topics. Methods of proof Relationships to logical equivalences. Important definitions Relationships to sets, relations Special functions

Today s Topics. Methods of proof Relationships to logical equivalences. Important definitions Relationships to sets, relations Special functions Today s Topics Set identities Methods of proof Relationships to logical equivalences Functions Important definitions Relationships to sets, relations Special functions Set identities help us manipulate

More information

(Refer Slide Time: 6:43)

(Refer Slide Time: 6:43) Probability and Random Variables/Processes for Wireless Communication Professor Aditya K. Jagannatham Department of Electrical Engineering Indian Institute of Technology Kanpur Module 2 Lecture No 7 Bayes

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

Chapter 1. Sets and Mappings

Chapter 1. Sets and Mappings Chapter 1. Sets and Mappings 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

Chapter 4. Measure Theory. 1. Measure Spaces

Chapter 4. Measure Theory. 1. Measure Spaces Chapter 4. Measure Theory 1. Measure Spaces Let X be a nonempty set. A collection S of subsets of X is said to be an algebra on X if S has the following properties: 1. X S; 2. if A S, then A c S; 3. if

More information

Unit 8A Computer Organization. Boolean Logic and Gates

Unit 8A Computer Organization. Boolean Logic and Gates Unit 8A Computer Organization Boolean Logic and Gates Announcements Bring ear buds or headphones to lab! 15110 Principles of Computing, Carnegie Mellon University - CORTINA 2 Representing and Manipulating

More information

Sets, Functions and Relations

Sets, Functions and Relations Chapter 2 Sets, Functions and Relations A set is any collection of distinct objects. Here is some notation for some special sets of numbers: Z denotes the set of integers (whole numbers), that is, Z =

More information

1. To be a grandfather. Objects of our consideration are people; a person a is associated with a person b if a is a grandfather of b.

1. To be a grandfather. Objects of our consideration are people; a person a is associated with a person b if a is a grandfather of b. 20 [161016-1020 ] 3.3 Binary relations In mathematics, as in everyday situations, we often speak about a relationship between objects, which means an idea of two objects being related or associated one

More information

Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016

Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016 8. For any two events E and F, P (E) = P (E F ) + P (E F c ). Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016 Sample space. A sample space consists of a underlying

More information

Chapter 2 - Basics Structures MATH 213. Chapter 2: Basic Structures. Dr. Eric Bancroft. Fall Dr. Eric Bancroft MATH 213 Fall / 60

Chapter 2 - Basics Structures MATH 213. Chapter 2: Basic Structures. Dr. Eric Bancroft. Fall Dr. Eric Bancroft MATH 213 Fall / 60 MATH 213 Chapter 2: Basic Structures Dr. Eric Bancroft Fall 2013 Dr. Eric Bancroft MATH 213 Fall 2013 1 / 60 Chapter 2 - Basics Structures 2.1 - Sets 2.2 - Set Operations 2.3 - Functions 2.4 - Sequences

More information

Show Your Work! Point values are in square brackets. There are 35 points possible. Some facts about sets are on the last page.

Show Your Work! Point values are in square brackets. There are 35 points possible. Some facts about sets are on the last page. Formal Methods Name: Key Midterm 2, Spring, 2007 Show Your Work! Point values are in square brackets. There are 35 points possible. Some facts about sets are on the last page.. Determine whether each of

More information

Chapter 2 - Basics Structures

Chapter 2 - Basics Structures Chapter 2 - Basics Structures 2.1 - Sets Definitions and Notation Definition 1 (Set). A set is an of. These are called the or of the set. We ll typically use uppercase letters to denote sets: S, A, B,...

More information

3 Boolean Algebra 3.1 BOOLEAN ALGEBRA

3 Boolean Algebra 3.1 BOOLEAN ALGEBRA 3 Boolean Algebra 3.1 BOOLEAN ALGEBRA In 1854, George Boole introduced the following formalism which eventually became Boolean Algebra. Definition. An algebraic system consisting of a set B of elements

More information

Properties of Probability

Properties of Probability Econ 325 Notes on Probability 1 By Hiro Kasahara Properties of Probability In statistics, we consider random experiments, experiments for which the outcome is random, i.e., cannot be predicted with certainty.

More information

Chapter 2 Combinational Logic Circuits

Chapter 2 Combinational Logic Circuits Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part 1 Gate Circuits and Boolean Equations Chapter 2 - Part 1 2 Chapter 2 - Part 1 3 Chapter 2 - Part 1 4 Chapter 2 - Part

More information

1. (B) The union of sets A and B is the set whose elements belong to at least one of A

1. (B) The union of sets A and B is the set whose elements belong to at least one of A 1. (B) The union of sets A and B is the set whose elements belong to at least one of A or B. Thus, A B = { 2, 1, 0, 1, 2, 5}. 2. (A) The intersection of sets A and B is the set whose elements belong to

More information

Mathematics Foundation for College. Lesson Number 1. Lesson Number 1 Page 1

Mathematics Foundation for College. Lesson Number 1. Lesson Number 1 Page 1 Mathematics Foundation for College Lesson Number 1 Lesson Number 1 Page 1 Lesson Number 1 Topics to be Covered in this Lesson Sets, number systems, axioms, arithmetic operations, prime numbers and divisibility,

More information

Spring Based on Partee, ter Meulen, & Wall (1993), Mathematical Methods in Linguistics

Spring Based on Partee, ter Meulen, & Wall (1993), Mathematical Methods in Linguistics 1 / 17 L545 Spring 2013 Based on Partee, ter Meulen, & Wall (1993), Mathematical Methods in Linguistics 2 / 17 Why set theory? Set theory sets the foundation for much of mathematics For us: provides precise

More information

9/19/2018. Cartesian Product. Cartesian Product. Partitions

9/19/2018. Cartesian Product. Cartesian Product. Partitions Cartesian Product The ordered n-tuple (a 1, a 2, a 3,, a n ) is an ordered collection of objects. Two ordered n-tuples (a 1, a 2, a 3,, a n ) and (b 1, b 2, b 3,, b n ) are equal if and only if they contain

More information

Sets and Motivation for Boolean algebra

Sets and Motivation for Boolean algebra SET THEORY Basic concepts Notations Subset Algebra of sets The power set Ordered pairs and Cartesian product Relations on sets Types of relations and their properties Relational matrix and the graph of

More information

Sample Problems for all sections of CMSC250, Midterm 1 Fall 2014

Sample Problems for all sections of CMSC250, Midterm 1 Fall 2014 Sample Problems for all sections of CMSC250, Midterm 1 Fall 2014 1. Translate each of the following English sentences into formal statements using the logical operators (,,,,, and ). You may also use mathematical

More information

STAT 111 Recitation 1

STAT 111 Recitation 1 STAT 111 Recitation 1 Linjun Zhang January 20, 2017 What s in the recitation This class, and the exam of this class, is a mix of statistical concepts and calculations. We are going to do a little bit of

More information

Sets. your school. A group of odd natural numbers less than 25.

Sets. your school. A group of odd natural numbers less than 25. 1 Sets The set theory was developed by German Mathematician Georg Cantor (1845-1918). He first encountered sets while working on problems on trigonometric series. This concept is used in every branch of

More information