Book of Proof

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by Richard Hammack




  Book of Proof

  Richard Hammack

  Virginia Commonwealth University

  Richard Hammack (publisher)

  Department of Mathematics & Applied Mathematics

  P.O. Box 842014

  Virginia Commonwealth University

  Richmond, Virginia, 23284

  Book of Proof

  Edition 2.2

  © 2013 by Richard Hammack

  This work is licensed under the Creative Commons Attribution-No Derivative Works 3.0

  License

  Typeset in 11pt TEX Gyre Schola using PDFLATEX

  To my students

  Contents

  Preface

  vii

  Introduction

  viii

  I

  Fundamentals

  1. Sets

  3

  1.1. Introduction to Sets

  3

  1.2. The Cartesian Product

  8

  1.3. Subsets

  11

  1.4. Power Sets

  14

  1.5. Union, Intersection, Difference

  17

  1.6. Complement

  19

  1.7. Venn Diagrams

  21

  1.8. Indexed Sets

  24

  1.9. Sets that Are Number Systems

  29

  1.10. Russell’s Paradox

  31

  2. Logic

  33

  2.1. Statements

  34

  2.2. And, Or, Not

  38

  2.3. Conditional Statements

  41

  2.4. Biconditional Statements

  44

  2.5. Truth Tables for Statements

  46

  2.6. Logical Equivalence

  49

  2.7. Quantifiers

  51

  2.8. More on Conditional Statements

  54

  2.9. Translating English to Symbolic Logic

  55

  2.10. Negating Statements

  57

  2.11. Logical Inference

  61

  2.12. An Important Note

  62

  3. Counting

  63

  3.1. Counting Lists

  63

  3.2. Factorials

  70

  3.3. Counting Subsets

  73

  3.4. Pascal’s Triangle and the Binomial Theorem

  78

  3.5. Inclusion-Exclusion

  81

  v

  II

  How to Prove Conditional Statements

  4. Direct Proof

  87

  4.1. Theorems

  87

  4.2. Definitions

  89

  4.3. Direct Proof

  92

  4.4. Using Cases

  98

  4.5. Treating Similar Cases

  99

  5. Contrapositive Proof

  102

  5.1. Contrapositive Proof

  102

  5.2. Congruence of Integers

  105

  5.3. Mathematical Writing

  107

  6. Proof by Contradiction

  111

  6.1. Proving Statements with Contradiction

  112

  6.2. Proving Conditional Statements by Contradiction

  115

  6.3. Combining Techniques

  116

  6.4. Some Words of Advice

  117

  III

  More on Proof

  7. Proving Non-Conditional Statements

  121

  7.1. If-and-Only-If Proof

  121

  7.2. Equivalent Statements

  123

  7.3. Existence Proofs; Existence and Uniqueness Proofs

  124

  7.4. Constructive Versus Non-Constructive Proofs

  128

  8. Proofs Involving Sets

  131

  8.1. How to Prove a ∈ A

  131

  8.2. How to Prove A ⊆ B

  133

  8.3. How to Prove A = B

  136

  8.4. Examples: Perfect Numbers

  139

  9. Disproof

  146

  9.1. Counterexamples

  148

  9.2. Disproving Existence Statements

  150

  9.3. Disproof by Contradiction

  152

  10. Mathematical Induction

  154

  10.1. Proof by Strong Induction

  161

  10.2. Proof by Smallest Counterexample

  165

  10.3. Fibonacci Numbers

  167

  vi

  IV

  Relations, Functions and Cardinality

  11. Relations

  175

  11.1. Properties of Relations

  179

  11.2. Equivalence Relations

  184

  11.3. Equivalence Classes and Partitions

  188

  11.4. The Integers Modulo n

  191

  11.5. Relations Between Sets

  194

  12. Functions

  196

  12.1. Functions

  196

  12.2. Injective and Surjective Functions

  201

  12.3. The Pigeonhole Principle

  205

  12.4. Composition

  208

  12.5. Inverse Functions

  211

  12.6. Image and Preimage

  214

  13. Cardinality of Sets

  217

  13.1. Sets with Equal Cardinalities

  217

  13.2. Countable and Uncountable Sets

  223

  13.3. Comparing Cardinalities

  228

  13.4. The Cantor-Bernstein-Schröeder Theorem

  232

  Conclusion

  239

  Solutions

  240

  Index

  301

  Preface

  n writing this book I have been motivated by the desire to create a

  I high-quality textbook that costs almost nothing.

  The book is available on my web page for free, and the paperback

  version (produced through an on-demand press) costs considerably less

  than comparable traditional textbooks. Any revisions or new editions

  will be issued solely for the purpose of correcting mistakes and clarifying

  exposition. New exercises may be added, but the existing ones will not be

  unnecessarily changed or renumbered.

  This text is an expansion and refinement of lecture notes I developed

  while teaching proofs courses over the past fourteen years at Virginia

  Commonwealth University (a large state university) and Randolph-Macon

  College (a small liberal arts college).

  I found the needs of these two

  audiences to be nearly identical, and I wrote this book for them. But I am

  mindful of a larger audience. I believe this book is suitable for almost any

  undergraduate mathematics program.

  This second edition incorporates many minor corrections and additions

  that were suggested by readers around the world. In addition, several

  new examples and exercises have been added, and a section on the Cantor-

  Bernstein-Schröeder theorem has been added to Chapter 13.

  Richard Hammack

  Richmond, Virginia

  May 25, 2013

  Introduction

  his is a book about how to prove theorems.

  TUntil this point in your education
, mathematics has probably been

  presented as a primarily computational discipline. You have learned to

  solve equations, compute derivatives and integrals, multiply matrices

  and find determinants; and you have seen how these things can answer

  practical questions about the real world. In this setting, your primary goal

  in using mathematics has been to compute answers.

  But there is another side of mathematics that is more theoretical than

  computational. Here the primary goal is to understand mathematical

  structures, to prove mathematical statements, and even to invent or

  discover new mathematical theorems and theories. The mathematical

  techniques and procedures that you have learned and used up until now

  are founded on this theoretical side of mathematics. For example, in

  computing the area under a curve, you use the fundamental theorem of

  calculus. It is because this theorem is true that your answer is correct.

  However, in learning calculus you were probably far more concerned with

  how that theorem could be applied than in understanding why it is true.

  But how do we know it is true? How can we convince ourselves or others

  of its validity? Questions of this nature belong to the theoretical realm of

  mathematics. This book is an introduction to that realm.

  This book will initiate you into an esoteric world. You will learn and

  apply the methods of thought that mathematicians use to verify theorems,

  explore mathematical truth and create new mathematical theories. This

  will prepare you for advanced mathematics courses, for you will be better

  able to understand proofs, write your own proofs and think critically and

  inquisitively about mathematics.

  ix

  The book is organized into four parts, as outlined below.

  PART I

  Fundamentals

  • Chapter 1: Sets

  • Chapter 2: Logic

  • Chapter 3: Counting

  Chapters 1 and 2 lay out the language and conventions used in all advanced

  mathematics. Sets are fundamental because every mathematical structure,

  object or entity can be described as a set. Logic is fundamental because it

  allows us to understand the meanings of statements, to deduce information

  about mathematical structures and to uncover further structures. All

  subsequent chapters will build on these first two chapters. Chapter 3

  is included partly because its topics are central to many branches of

  mathematics, but also because it is a source of many examples and exercises

  that occur throughout the book. (However, the course instructor may choose

  to omit Chapter 3.)

  PART II

  Proving Conditional Statements

  • Chapter 4: Direct Proof

  • Chapter 5: Contrapositive Proof

  • Chapter 6: Proof by Contradiction

  Chapters 4 through 6 are concerned with three main techniques used for

  proving theorems that have the “conditional” form “If P , then Q.”

  PART III

  More on Proof

  • Chapter 7: Proving Non-Conditional Statements

  • Chapter 8: Proofs Involving Sets

  • Chapter 9: Disproof

  • Chapter 10: Mathematical Induction

  These chapters deal with useful variations, embellishments and conse-

  quences of the proof techniques introduced in Chapters 4 through 6.

  PART IV

  Relations, Functions and Cardinality

  • Chapter 11: Relations

  • Chapter 12: Functions

  • Chapter 13: Cardinality of Sets

  These final chapters are mainly concerned with the idea of functions, which

  are central to all of mathematics. Upon mastering this material you will be

  ready for advanced mathematics courses such as combinatorics, abstract

  algebra, theory of computation, analysis and topology.

  x

  Introduction

  To the instructor. The book is designed for a three credit course. Here

  is a possible timetable for a fourteen-week semester.

  Week

  Monday

  Wednesday

  Friday

  1

  Section 1.1

  Section 1.2

  Sections 1.3, 1.4

  2

  Sections 1.5, 1.6, 1.7

  Section 1.8

  Sections 1.9∗, 2.1

  3

  Section 2.2

  Sections 2.3, 2.4

  Sections 2.5, 2.6

  4

  Section 2.7

  Sections 2.8∗, 2.9

  Sections 2.10, 2.11∗, 2.12∗

  5

  Sections 3.1, 3.2

  Section 3.3

  Sections 3.4, 3.5∗

  6

  EXAM

  Sections 4.1, 4.2, 4.3

  Sections 4.3, 4.4, 4.5∗

  7

  Sections 5.1, 5.2, 5.3∗

  Section 6.1

  Sections 6.2 6.3∗

  8

  Sections 7.1, 7.2∗, 7.3

  Sections 8.1, 8.2

  Section 8.3

  9

  Section 8.4

  Sections 9.1, 9.2, 9.3∗

  Section 10.0

  10

  Sections 10.0, 10.3∗

  Sections 10.1, 10.2

  EXAM

  11

  Sections 11.0, 11.1

  Sections 11.2, 11.3

  Sections 11.4, 11.5

  12

  Section 12.1

  Section 12.2

  Section 12.2

  13

  Sections 12.3, 12.4∗

  Section 12.5

  Sections 12.5, 12.6∗

  14

  Section 13.1

  Section 13.2

  Sections 13.3, 13.4∗

  Sections marked with ∗ may require only the briefest mention in class, or

  may be best left for the students to digest on their own. Some instructors

  may prefer to omit Chapter 3.

  Acknowledgments. I thank my students in VCU’s MATH 300 courses

  for offering feedback as they read the first edition of this book. Thanks

  especially to Cory Colbert and Lauren Pace for rooting out typographical

  mistakes and inconsistencies. I am especially indebted to Cory for reading

  early drafts of each chapter and catching numerous mistakes before I

  posted the final draft on my web page.

  Cory also created the index,

  suggested some interesting exercises, and wrote some solutions. Thanks

  to Andy Lewis and Sean Cox for suggesting many improvements while

  teaching from the book. I am indebted to Lon Mitchell, whose expertise

  with typesetting and on-demand publishing made the print version of this

  book a reality.

  And thanks to countless readers all over the world who contacted me

  concerning errors and omissions. Because of you, this is a better book.

  Part I

  Fundamentals

  CHAPTER

  1

  Sets

  ll of mathematics can be described with sets. This becomes more and

  A moreapparentthedeeperintomathematicsyougo. Itwillbeapparent

  in most of your upper level courses, and certainly in this course. The

  theory of sets is a language that is perfectly suited to describing and

  explaining all types of mathematical structures.

  1.1 Introduction to Sets

  A set is a collection of things. The things in the collection are called

  elements of the set. We are mainly concerned
with sets whose elements

  are mathematical entities, such as numbers, points, functions, etc.

  A set is often expressed by listing its elements between commas, en-

  ©

  closed by braces. For example, the collection 2, 4, 6, 8ª is a set which has

  four elements, the numbers 2, 4, 6 and 8. Some sets have infinitely many

  elements. For example, consider the collection of all integers,

  © ...,−4,−3,−2,−1,0,1,2,3,4,...ª.

  Here the dots indicate a pattern of numbers that continues forever in both

  the positive and negative directions. A set is called an infinite set if it

  has infinitely many elements; otherwise it is called a finite set.

  Two sets are equal if they contain exactly the same elements. Thus

  ©2,4,6,8ª = ©4,2,8,6ª because even though they are listed in a different

  ©

  order, the elements are identical; but 2, 4, 6, 8ª 6= ©2, 4, 6, 7ª. Also

  © ... − 4,−3,−2,−1,0,1,2,3,4...ª = ©0,−1,1,−2,2,−3,3,−4,4,...ª.

  We often let uppercase letters stand for sets. In discussing the set

  ©2,4,6,8ª we might declare A = ©2,4,6,8ª and then use A to stand for

  ©2,4,6,8ª. To express that 2 is an element of the set A, we write 2 ∈ A, and

  read this as “2 is an element of A,” or “2 is in A,” or just “2 in A.” We also

  have 4 ∈ A, 6 ∈ A and 8 ∈ A, but 5 ∉ A. We read this last expression as “5 is

  not an element of A,” or “5 not in A.” Expressions like 6,2 ∈ A or 2,4,8 ∈ A

  are used to indicate that several things are in a set.

  4

  Sets

  Some sets are so significant and prevalent that we reserve special

  symbols for them. The set of natural numbers (i.e., the positive whole

  numbers) is denoted by N, that is,

  N = ©1,2,3,4,5,6,7,...ª.

  The set of integers

  Z = ©...,−3,−2,−1,0,1,2,3,4,...ª

  is another fundamental set. The symbol R stands for the set of all real

  numbers, a set that is undoubtedly familiar to you from calculus. Other

  special sets will be listed later in this section.

  Sets need not have just numbers as elements. The set B = ©T, Fª consists

  of two letters, perhaps representing the values “true” and “false.” The set

  C = ©a, e, i, o, uª consists of the lowercase vowels in the English alphabet.

  The set D = ©(0, 0), (1, 0), (0, 1), (1, 1)ª has as elements the four corner points

  of a square on the x- y coordinate plane. Thus (0, 0) ∈ D, (1, 0) ∈ D, etc., but

  (1, 2) ∉ D (for instance). It is even possible for a set to have other sets

  as elements. Consider E = ©1, ©2, 3ª, ©2, 4ªª, which has three elements: the

  ©

  ©

  ©

  number 1, the set 2, 3ª and the set 2, 4ª. Thus 1 ∈ E and 2, 3ª ∈ E and

 

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