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Mathematical Analysis. Volume I

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Undergraduate Texts in Mathematics

Charles?C.?Pugh

Real

Mathematical

Analysis

Second Edition

Undergraduate Texts in Mathematics

More information about this series athttp://www.springer.com/series/666

Undergraduate Texts in Mathematics

Series Editors:

Sheldon Axler

San Francisco State University, San Francisco, CA, USA

Kenneth Ribet

University of California, Berkeley, CA, USA

Advisory Board:

Colin Adams,Williams College

David A. Cox,Amherst College

Pamela Gorkin,Bucknell University

Roger E. Howe,Yale University

Michael Orrison,Harvey Mudd College

Jill Pipher,Brown University

Fadil Santosa,University of Minnesota

Undergraduate Texts in Mathematicsare generally aimed at third- and fourth-yearunder- graduate mathematics students at North American universities. These texts strive to provide students and teachers with new perspectivesand novel approaches. The books include mo- tivation that guides the reader to an appreciation of interrelations among different aspects of the subject. They feature examples that illustrate key concepts as well as exercises that strengthen understanding.

Lisette G. de Pillis,

Harvey Mudd College

Charles C. Pugh

Real Mathematical Analysis

Second Edition

ISSN 0172-6056ISSN 2197-5604 (electronic)

Undergraduate Texts in Mathematics

ISBN 978-3-319-17770-0 ISBN 978-3-319-17771-7 (eBook)

DOI 10.1007/978-3-319-17771-7

Library of Congress Control Number: 2015940438

Mathematics Subject ClassiÞcation (2010): 26-xx Springer Cham Heidelberg New York Dordrecht London

Printed on acid-free paper

Springer International Publishing AGce+Business Media (www.springer.com)

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is

concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on

microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation,

computer software, or by similar or dissimilar methodology now known or hereafter developed.

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply,

even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations

and therefore free for general use.

The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be

true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or

implied, with respect to the material contained herein or for any errors or omissions that may have been made.

Switzerland is part of Springer Scien

© Springer International Publishing Switzerland 2002, 2015

Charles C. Pugh

Department of Mathematics

University of California

Berkeley, CA, USA

To Candida

and to the students who have encouraged me ... ... especially A.W., D.H., and M.B.

Preface

Was plane geometry your favorite math course in high school? Did you like prov- ing theorems? Are you sick of memorizing integrals? If so, real analysis could be your cup of tea. In contrast to calculus and elementary algebra, it involves neither formula manipulation nor applications to other “elds of science. None. It is pure mathematics, and I hope it appeals to you, the budding pure mathematician. This book is set out for college juniors and seniors who love math and who profit from pictures that illustrate the math. Rarely is a picture a proof, but I hope a good picture will cement your understanding ofwhysomething is true. Seeing is believing. Chapter 1 gets you o the ground. The whole of analysis is built on the system of real numbersR, and especially on its Least Upper Bound property. Unlike many analysis texts that assumeRand its properties as axioms, Chapter 1 contains a natural construction ofRand a natural proof of the LUB property. You will also see why some in“nite sets are more in“nite than others, and how to visualize things in four dimensions. Chapter 2 is about metric spaces, especially subsets of the plane. This chapter contains many pictures you have never seen.?and→will become your friends. Most of the presentation uses sequences and limits, in contrast to open coverings. It may be less elegant but its easier to begin with. You will get to know the Cantor set well. Chapter 3 is about Freshman Calculus ... dierentiation, integration, LHopitals Rule, and so on, for functions of a single variable ... but this time you will “nd out why what you were taught before is actually true. In particular you will see that a bounded function is integrable if and only if it is continuous almost everywhere, and how this fact explains many other things about integrals. Chapter 4 is about functions viewed en masse. You can treat a set of functions as a metric space. The pointsŽ in the space arent numbers or vectors ... they are functions. What is the distance between two functions? What should it mean that a sequence of functions converges to a limit function? What happens to derivatives and integrals when your sequence of functions converges to a limit function? When can you approximate a bad function with a good one? What is the best kind of function? What does the typical continuous function look like? (Answer: horrible.Ž) Chapter 5 is about Sophomore Calculus ... functions of several variables, partial derivatives, multiple integrals, and so on. Again you will see why what you were taught before is actually true. You will revisit Lagrange multipliers (with a picture vii proof), the Implicit Function Theorem, etc. The main new topic for you will be dierential forms. They are presented not as mysterious multi-indexed expressions,Ž but rather as things that assign numbers to smooth domains. A 1-form assigns to a smooth curve a number, a 2-form assigns to a surface a number, a 3-form assigns to a solid a number, and so on. Orientation (clockwise, counterclockwise, etc.) is important and lets you see why cowlicks are inevitable ... the Hairy Ball Theorem. The culmination of the dierential forms business is Stokes Formula, which uni“es what you know about div, grad, and curl. It also leads to a short and simple proof of the Brouwer Fixed Point Theorem ... a fact usually considered too advanced for undergraduates. Chapter 6 is about Lebesgue measure and integration. It is not about measure theory in the abstract, but rather about measure theory in the plane, where you can see it. Surely I am not the “rst person to have rediscovered J.C. Burkills approach to the Lebesgue integral, but I hope you will come to value it as much as I do. After you understand a few nontrivial things about area in the plane, you are naturally led to de“ne the integral as the area under the curve ... the elementary picture you saw in high school calculus. Then the basic theorems of Lebesgue integration simply fall out from the picture. Included in the chapter is the subject of density points ... points at which a set clumps together.Ž I consider density points central to Lebesgue measure theory. At the end of each chapter are a great many exercises. Intentionally, there is no solution manual. You should expect to be confused and frustrated when you “rst try to solve the harder problems. Frustration is a good thing. It will strengthen you and it is the natural mental state of most mathematicians most of the time. Join the club! When you do solve a hard problem yourself or with a group of your friends, you will treasure it far more than something you pick up o the web. For encouragement, read Sam Youngs story athttp://legacyrlmoore.org/reference/young.html. I have adopted Moe Hirschs star system for the exercises. One star is hard, two stars is very hard, and a three-star exercise is a question to which I do not know the answer. Likewise, starred sections are more challenging.

Berkeley, California, USACharles Chapman Pugh

viiiPreface

Contents

1RealNumbers

1 Preliminaries ................................ 1

2 Cuts..................................... 11

3 EuclideanSpace .............................. 22

4 Cardinality ................................. 29

5* ComparingCardinalities.......................... 36

6* TheSkeletonofCalculus.......................... 38

7* VisualizingtheFourthDimension..................... 41

Exercises .................................. 44

2 A Taste of Topology

1 MetricSpaces................................ 57

2 Continuity.................................. 61

3 TheTopologyofaMetricSpace...................... 65

4 Compactness ................................ 79

5 Connectedness ............................... 86

6 OtherMetricSpaceConcepts....................... 92

7 Coverings .................................. 98

8 CantorSets.................................105

9* CantorSetLore...............................108

10* Completion .................................119

Exercises ..................................125

ix vii

3 Functions of a Real Variable

1 Differentiation ...............................149

2 RiemannIntegration............................164

3 Series ....................................191

Exercises ..................................198

4 Function Spaces

1 Uniform Convergence andC

0 [a,b] ....................211

2 PowerSeries.................................220

3 Compactness and Equicontinuity inC

0 ..................223

4 Uniform Approximation inC

0 .......................228

5 ContractionsandODEs ..........................240

6* AnalyticFunctions.............................248

7* NowhereDierentiableContinuousFunctions ..............253

8* Spaces of Unbounded Functions......................260

Exercises ..................................263

5 Multivariable Calculus

1 LinearAlgebra ...............................277

2 Derivatives .................................282

3 HigherDerivatives .............................291

4 ImplicitandInverseFunctions ......................297

5* TheRankTheorem.............................301

6* Lagrange Multipliers............................310

7 MultipleIntegrals..............................313

8 DierentialForms .............................326

9 TheGeneralStokesFormula........................342

10* The Brouwer Fixed-Point Theorem....................353

Appendix A Perorations of Dieudonn´e .................357 AppendixB TheHistoryofCavalierisPrinciple.............358 AppendixC AShortExcursionintotheComplexField........359

AppendixD PolarForm .........................360

AppendixE Determinants ........................363

Exercises ..................................366

xContents

6 Lebesgue Theory

1 OuterMeasure ...............................383

2 Measurability................................388

3 Meseomorphism...............................393

4 Regularity..................................397

5 ProductsandSlices.............................401

6 LebesgueIntegrals .............................406

7 ItalianMeasureTheory ..........................414

8 VitaliCoveringsandDensityPoints ...................418

10 LebesguesLastTheorem .........................433

AppendixA Lebesgueintegralsaslimits ................440 AppendixB Nonmeasurablesets.....................440 AppendixC BorelversusLebesgue ...................443 AppendixD TheBanach-TarskiParadox................444 Appendix E Riemann integrals as undergraphs.............445 AppendixF LittlewoodsThreePrinciples ...............447

Appendix G Roundness..........................449

AppendixH Money............................449

Exercises ..................................450

Suggested Reading..............................467

Contents xi

1

Real Numbers

1 Preliminaries

Before we discuss the system of real numbers it is best to make a few general remarks about mathematical outlook.

Language

By and large, mathematics is expressed in the language of set theory. Your first order of business is to get familiar with its vocabulary and grammar. A set is a collection of elements. The elements are members of the set and are said to belong to the set. For example,Ndenotes the set ofnatural numbers,1,2,3,....The members ofNare whole numbers greater than or equal to 1. Is 10 a member ofN?

Yes, 10 belongs toN.Is0amemberofN? No. We write

x?Aandy?B to indicate that the elementxis a member of the setAandyis not a member ofB.

Thus, 6819?Nand 0?N.

We try to write capital letters for sets and small letters for elements of sets. Other standard sets have standard names. The set ofintegersis denoted byZ, which stands for the German wordZahlen. (An integer is a positive whole number, zero, or a negative whole number.) Is

2?Z? No,

2?Z. How about-15? Yes,

-15?Z. ©Springer International Publishing Switzerland 2015 C.C. Pugh,Real Mathematical Analysis, UndergraduateTexts in Mathematics, DOI 10.1007/978-3-319-17771-71 1

2RealNumbersChapter1

The set ofrational numbersis calledQ, which stands for "quotient." (A rational number is a fraction of integers, the denominator being nonzero.) Is 2a member ofQ? No,

2doesnotbelongtoQ.Is→amemberofQ? No. Is 1.414 a

member ofQ? Yes. You should practice reading the notation {xΔA:" as "the set ofxthat belong toAsuch that." Theempty setis the collection of no elements and is denoted by . Is 0 a member of the empty set? No, 0Π. Asingleton sethas exactly one member. It is denoted as{x}wherexis the member. Similarly if exactly two elementsxandybelong to a set, the set is denoted as{x,y}. IfAandBare sets and each member ofAalso belongs toBthenAis a subset ofBandAis contained inB.Wewrite AB. IsNa subset ofZ? Yes. Is it a subset ofQ? Yes. IfAis a subset ofBandBis a subset ofC, does it follow thatAis a subset ofC? Yes. Is the empty set a subset of N? Yes,N. Is 1 a subset ofN? No, but the singleton set{1}is a subset ofN. Two sets are equal if each member of one belongs to the other. Each is a subset of the other. This is how you prove two sets are equal: Show that each element of the “rst belongs to the second, and each element of the second belongs to the “rst. The union of the setsAandBis the setAB, each of whose elements belongs to eitherA,ortoB, or to bothAand toB. The intersection ofAandBis the set ABeach of whose elements belongs to bothAand toB.IfABis the empty set thenAandBaredisjoint.Thesymmetric di?erenceofAandBis the set AffBeach of whose elements belongs toAbut not toB, or belongs toBbut not to

A.Thedi?erenceofAtoBisthe set A

Bwhose elements belong toAbut not

toB. SeeFigure 1. Aclassis a collection of sets. The sets are members of the class. For example we could consider the classEof sets of even natural numbers. Is the set{2,15}a member ofE? No. How about the singleton set{6}? Yes. How about the empty set? Yes, each element of the empty set is even. When is one class a subclass of another? When each member of the former belongs also to the latter. For example the classTof sets of positive integers divisible by 10 When some mathematicians writeAffBthey mean thatAis a subset ofB, butAffi=B.We donotadopt this convention. We acceptAffA.

Section 1Preliminaries3

A B

AαBA\B

B\A

AΔB

AΔBA?B

Figure 1Venn diagrams of union, intersection, and diΔerences is a subclass ofE, the class of sets of even natural numbers, and we writeTffE. Each set that belongs to the classTalso belongs to the classE. Consider another example. LetSbe the class of singleton subsets ofNand letDbe the class of subsets ofNeach of which has exactly two elements. Thus{10}Sand{2,6}D.IsSa subclass ofD? No. The members ofSare singleton sets and they are not members of D. Rather they are subsets of members ofD. Note the distinction, and think about it. Here is an analogy. Each citizen is a member of his or her country ... I am an element of the USA and Tony Blair is an element of the UK. Each country is a member of the United Nations. Are citizens members of the UN? No, countries are members of the UN. In the same vein is the concept of anequivalence relationon a setS.Itis a relationss ff that holds between some memberss,s ff

Sand it satisfies three

properties: For alls,s ff ,s ffff S (a)ss. (b)ss ff implies thats ff s.quotesdbs_dbs19.pdfusesText_25
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