Foundations of Analysis. Joseph L. Taylor. University of Utah

Similar documents
CONTENTS. Preface Preliminaries 1

The Way of Analysis. Robert S. Strichartz. Jones and Bartlett Publishers. Mathematics Department Cornell University Ithaca, New York

Mathematical Analysis

N AT E S T E M E N & K E V I N Y E H R U D I N : T R A N S L AT E D

Comprehensive Introduction to Linear Algebra

Linear Algebra Done Wrong. Sergei Treil. Department of Mathematics, Brown University

Contents. Preface xi. vii

Undergraduate Texts in Mathematics. Editors J. H. Ewing F. W. Gehring P. R. Halmos

Advanced Calculus of a Single Variable

MATHEMATICS COMPREHENSIVE EXAM: IN-CLASS COMPONENT

MATHEMATICAL ANALYSIS

Quick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1

UNIVERSITY OF NORTH ALABAMA MA 110 FINITE MATHEMATICS

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Principles of Real Analysis I Fall I. The Real Number System

Waterloo, ON & Lincoln, NE March, Kenneth R. Davidson Allan P. Donsig

MATHEMATICS (MATH) Mathematics (MATH) 1

The Foundations of Real Analysis A Fundamental Course with 347 Exercises and Detailed Solutions

Week 2: Sequences and Series

INDEX. Bolzano-Weierstrass theorem, for sequences, boundary points, bounded functions, 142 bounded sets, 42 43

MIDLAND ISD ADVANCED PLACEMENT CURRICULUM STANDARDS AP CALCULUS BC

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

We are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero

MATHEMATICS (MATH) Mathematics (MATH) 1

STAT 7032 Probability Spring Wlodek Bryc

Introduction to the Mathematical and Statistical Foundations of Econometrics Herman J. Bierens Pennsylvania State University

Calculus from Graphical, Numerical, and Symbolic Points of View, 2e Arnold Ostebee & Paul Zorn

MATHEMATICS (MATH) Calendar

Elementary Point-Set Topology

Contents. 2 Sequences and Series Approximation by Rational Numbers Sequences Basics on Sequences...

Solutions Manual for: Understanding Analysis, Second Edition. Stephen Abbott Middlebury College

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

Syllabus for Math Foundations of Analysis I - II

Mathematical Analysis Volume I

Measure, Integration & Real Analysis

Mathematics (MATH) Courses

MATHEMATICS (MATH) Mathematics (MATH) 1

Syllabuses for Honor Courses. Algebra I & II

2.1 Definition. Let n be a positive integer. An n-dimensional vector is an ordered list of n real numbers.

Topics Covered in Calculus BC

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

An Introduction to Complex Function Theory

We have been going places in the car of calculus for years, but this analysis course is about how the car actually works.

Introduction. Chapter 1. Contents. EECS 600 Function Space Methods in System Theory Lecture Notes J. Fessler 1.1

Mathematics (MAT) MAT 051 Pre-Algebra. 4 Hours. Prerequisites: None. 4 hours weekly (4-0)

BASIC EXAM ADVANCED CALCULUS/LINEAR ALGEBRA

FUNDAMENTALS OF REAL ANALYSIS

1. Theorem. (Archimedean Property) Let x be any real number. There exists a positive integer n greater than x.

2 Metric Spaces Definitions Exotic Examples... 3

Homework for Math , Spring 2013

REVIEW OF ESSENTIAL MATH 346 TOPICS

General Notation. Exercises and Problems

MIDLAND ISD ADVANCED PLACEMENT CURRICULUM STANDARDS AP CALCULUS AB

MATH 409 Advanced Calculus I Lecture 25: Review for the final exam.

INTRODUCTION TO REAL ANALYSIS

Logical Connectives and Quantifiers

Syllabus for BC Calculus

means is a subset of. So we say A B for sets A and B if x A we have x B holds. BY CONTRAST, a S means that a is a member of S.

Some Background Material

Week 12: Optimisation and Course Review.

Introduction to Proofs in Analysis. updated December 5, By Edoh Y. Amiran Following the outline of notes by Donald Chalice INTRODUCTION

MATH 310 Course Objectives

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy

i. v = 0 if and only if v 0. iii. v + w v + w. (This is the Triangle Inequality.)

CONTENTS. Preface List of Symbols and Notation

Cambridge University Press The Mathematics of Signal Processing Steven B. Damelin and Willard Miller Excerpt More information

Preface. Figures Figures appearing in the text were prepared using MATLAB R. For product information, please contact:

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ).

AN INTRODUCTION TO CLASSICAL REAL ANALYSIS

MAT 417, Fall 2017, CRN: 1766 Real Analysis: A First Course

MATHEMATICS FOR ECONOMISTS. An Introductory Textbook. Third Edition. Malcolm Pemberton and Nicholas Rau. UNIVERSITY OF TORONTO PRESS Toronto Buffalo

Correlation with College Board Advanced Placement Course Descriptions

Solutions Final Exam May. 14, 2014

1 Which sets have volume 0?

Review of Multi-Calculus (Study Guide for Spivak s CHAPTER ONE TO THREE)

Solutions to Problem Set 5 for , Fall 2007

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1.

INTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES

Mathematical Analysis Outline. William G. Faris

MATHEMATICS (MAT) Mathematics (MAT) 1

2 Measure Theory. 2.1 Measures

Part 2 Continuous functions and their properties

MTH 173 Calculus with Analytic Geometry I and MTH 174 Calculus with Analytic Geometry II

Calculus from Graphical, Numerical, and Symbolic Points of View Overview of 2nd Edition

Supplementary Material for MTH 299 Online Edition

Introduction to Analysis in One Variable. Michael E. Taylor

TEST CODE: PMB SYLLABUS

MTH 404: Measure and Integration

I. AP Calculus AB Major Topic: Functions, Graphs, and Limits

Lebesgue Measure on R n

Study skills for mathematicians

Due Date: Thursday, March 22, 2018

JOURNAL OF INQUIRY-BASED LEARNING IN MATHEMATICS

MA3025 Course Prerequisites

Introductory Analysis I Fall 2014 Homework #5 Solutions

Practice Test III, Math 314, Spring 2016

Math 101: Course Summary

Lebesgue Measure on R n

B553 Lecture 1: Calculus Review

Construction of a general measure structure

Transcription:

Foundations of Analysis Joseph L. Taylor University of Utah

Contents Preface vii Chapter 1. The Real Numbers 1 1.1. Sets and Functions 2 1.2. The Natural Numbers 8 1.3. Integers and Rational Numbers 16 1.4. The Real Numbers 21 1.5. Sup and Inf 26 Chapter 2. Sequences 33 2.1. Limits of Sequences 33 2.2. Using the Definition of Limit 38 2.3. Limit Theorems 42 2.4. Monotone Sequences 46 2.5. Cauchy Sequences 50 2.6. lim inf and lim sup 55 Chapter 3. Continuous Functions 59 3.1. Continuity 59 3.2. Properties of Continuous Functions 65 3.3. Uniform Continuity 69 3.4. Uniform Convergence 73 Chapter 4. The Derivative 79 4.1. Limits of Functions 79 4.2. The Derivative 84 4.3. The Mean Value Theorem 89 iii

iv Contents 4.4. L Hôpital s Rule 93 Chapter 5. The Integral 99 5.1. Definition of the Integral 99 5.2. Existence and Properties of the Integral 106 5.3. The Fundamental Theorems of Calculus 112 5.4. Logs, Exponentials, Improper Integrals 118 Chapter 6. Infinite Series 127 6.1. Convergence of Infinite Series 127 6.2. Tests for Convergence 133 6.3. Absolute and Conditional Convergence 138 6.4. Power Series 144 6.5. Taylor s Formula 152 Chapter 7. Convergence in Euclidean Space 159 7.1. Euclidean Space 159 7.2. Convergent Sequences of Vectors 166 7.3. Open and Closed Sets 172 7.4. Compact Sets 177 7.5. Connected Sets 181 Chapter 8. Functions on Euclidean Space 187 8.1. Continuous Functions of Several Variables 187 8.2. Properties of Continuous Functions 193 8.3. Sequences of Functions 198 8.4. Linear Functions, Matrices 203 8.5. Dimension, Rank, Lines, and Planes 211 Chapter 9. Differentiation in Several Variables 219 9.1. Partial Derivatives 219 9.2. The Differential 225 9.3. The Chain Rule 232 9.4. Applications of the Chain Rule 238 9.5. Taylor s Formula 246 9.6. The Inverse Function Theorem 256 9.7. The Implicit Function Theorem 262 Chapter 10. Integration in Several Variables 271 10.1. Integration over a Rectangle 271 10.2. Jordan Regions 278 10.3. The Integral over a Jordan Region 284

Contents v 10.4. Iterated Integrals 290 10.5. The Change of Variables Formula 299 Chapter 11. Vector Calculus 313 11.1. 1-forms and Path Integrals 313 11.2. Change of Variables 319 11.3. Differential Forms of Higher Order 327 11.4. Green s Theorem 334 11.5. Surface Integrals and Stokes s Theorem 344 11.6. Gauss s Theorem 354 11.7. Chains and Cycles 361 Appendix A. Degrees of Infinity 371 A.1. Cardinality of Sets 371 A.2. Countable Sets 374 A.3. Uncountable Sets 376 A.4. The Axiom of Choice 378 Bibliography 383

Preface This text evolved from notes we developed for use in a two semester undergraduate course on foundations of analysis at the University of Utah. The course is designed for students who have completed three semesters of calculus and one semester of linear algebra. For most of them, this is the first mathematics course in which everything is proved rigorously and they are expected to not only understand proofs, but to also create proofs. The course has two main goals. The first is to develop in students the mathematical maturity and sophistication they will need when they move on to senior or graduate level mathematics courses. The second is to present a rigorous development of the calculus, beginning with a study of the properties of the real number system. We have tried to present this material in a fashion which is both rigorous and concise, with simple, straightforward explanations. We feel that the modern tendency to expand textbooks with ever more material, excessive explanation, and more and more bells and whistles, simply gets in the way of the student s understanding of the basic material. The exercises differ widely in level of abstraction and level of difficulty. They vary from the simple to the quite difficult and from the computational to the theoretical. There are exercises that ask students to prove something or to construct an example with certain properties. There are exercises that ask students to apply theoretical material to help do a computation or to solve a practical problem. Each section contains a number of examples designed to illustrate the material of the section and to teach students how to approach the exercises for that section. This text, in its various incarnations, has been used by the author and his colleagues for several years at the University of Utah. Each use has led to improvements, additions, and corrections. The topics covered in the text are quite standard. Chapters 1 through 6 focus on single variable calculus and are normally covered in the first semester of the vii

viii Preface course. Chapters 7 through 11 are concerned with calculus in several variables and are normally covered in the second semester. Chapter 1 begins with a section on set theory. This is followed by the introduction of the set of natural numbers as a set which satisfies Peano s axioms. Subsequent sections outline the construction, beginning with the natural numbers, of the integers, the rational numbers, and finally the real numbers. This is only an outline of the construction of the reals beginning with Peano s axioms and not a fully detailed development. Such a development would would be much too time consuming for a course of this nature. What is important is that, by the end of the chapter: (1) students know that the real number system is a complete, Archimedean, ordered field; (2) they have some practice at using the axioms satisfied by such a system; and (3) they understand that this system may be constructed beginning with Peano s axioms for the counting numbers. Chapter 2 is devoted to sequences and limits of sequences. We feel sequences provide the best context in which to first carry out a rigorous study of limits. The study of limits of functions is complicated by issues concerning the domain of the function. Furthermore, one has to struggle with the student s tendency to think that the limit of f(x) as x approaches a is just a pedantic way of describing f(a). These complications don t arise in the study of limits of sequences. Chapter 3 provides a rigorous study of continuity for real valued functions of one variable. This includes proving the existence of minimum and maximum values for a continuous function on a closed bounded interval as well as the Intermediate Value Theorem and the existence of a continuous inverse function for a strictly monotone continuous function. Uniform continuity is discussed, as is uniform convergence for a sequence of functions. The derivative is introduce in Chapter 4 and the main theorems concerning the derivative are proved. These include the Chain Rule, the Mean Value Theorem, existence of the derivative of an inverse function, the monotonicity theorem, and L Hôpital s Rule. In Chapter 5 the definite integral is defined using upper and lower Riemann sums. The main properties of the integral are proved here along with the two forms of the Fundamental Theorem of Calculus. The integral is used to define and develop the properties of the natural logarithm. This leads to the the definition of the exponential function and the development of its properties. Infinite sequences and series are discussed in Chapter 6 along with Taylor s Series and Taylor s Formula. The second half of the text begins in Chapter 7 with an introduction to d- dimensional Euclidean space, R d, as the vector space of d-tuples of real numbers. We review the properties of this vector space while reminding the students of the definition and properties of general vector spaces. We study convergence of sequences of vectors and prove the Bolzano-Weierstrass Theorem in this context. We describe open and closed sets and discuss compactness and connectedness of sets in Euclidean spaces. Throughout this chapter and subsequent chapters we follow a certain philosophy concerning abstract verses concrete concepts. We briefly introduce abstract metric spaces, inner product spaces, and normed linear spaces,

Preface ix but only as an aside. We emphasize that Euclidean space is the object of study in this text, but we do point out now and then when a theorem concerning Euclidean space does or does not hold in a general metric space or inner product space or normed vector space. That is, the course is grounded in the concrete world of R d, but the student is made aware that there are more exotic worlds in which these concepts are important. Chapter 8 is devoted to the study of continuous functions between Euclidean spaces. We study the basic properties of continuous functions as they relate to open and closed sets and compact and connected sets. The third section is devoted to sequences and series of function and the concept of uniform convergence. The last two sections comprise a review of the topic of linear functions between Euclidean spaces and the corresponding matrices. This includes the study of rank, dimension of image and kernel and invertible matrices. We also introduce representations of linear or affine subspaces in parametric form as well as solution sets of systems of equations. The most important topic in the second half of the course is probably the study, in Chapter 9, of the total differential of a function from R p to R q. This is introduced in the context of affine approximation of a function near a point in its domain. The chain rule for the total differential is proved in what we believe is a novel and intuitively satisfying way. This is followed by applications of the total differential and the chain rule, including the multivariable Taylor s formula and the inverse and implicit function theorems. Chapter 10 is devoted to integration over Jordan regions in R d. The development, using upper and lower sums, is very similar to the development of the single variable integral in Chapter 5. Where the proofs are virtually identical to those in Chapter 5, they are omitted. The really new and different material here is that on Fubini s Theorem and the change of variables formula. We give rigorous and detailed proofs of both results along with a number of applications. The chapter on vector calculus, Chapter 11, uses the modern formalism of differential forms. In this formalism, the major theorems of the subject Green s Theorem, Stoke s Theorem, and Gauss s Theorem all have the same form. We do point out the classical forms of each of these theorems, however. Each of the main theorems is proved first on a rectangle or cube and then extended to more complicated domains through the use of transformation laws for differential forms and the change of variables formula for multiple integrals. Most of the chapter focuses on integration over sets in R, R 2 or R 3 which can be parameterized by smooth maps from an interval, a square or a cube, or sets which can be partitioned into sets of this form. However, in an optional section at the end, we introduce integrals over p-chains and p-cycles and state the general form of Stoke s Theorem. There are topics which could have been included in this text, but were not. Some of our colleagues suggested that we include an introductory chapter or section on formal logic. We considered this but decided against it. Our feeling is that logic at this simple level is just language used with precision. Students have been using language for most of their lives, perhaps not always with precision, but that doesn t mean that they are incapable of using it with precision if required to do so. Teaching students to be precise in their use of the language tools that they already possess

x Preface is one of the main objectives of the course. We do not believe that beginning the course with a study of formal logic would be of much help in this regard and, in fact, might just get in the way. We could also have included a chapter of Fourier Series. However, we fell that the material that has been included makes for a text that is already a challenge to cover in a two semester course. We feel it unrealistic to think that an additional chapter at the end would often get covered. In any case, the study of Fourier series is most naturally introduced at the undergraduate level in a course in differential equations. We have included an appendix on cardinality at the end of the text. We discuss finite, countable, and uncountable sets. We show that the rationals are countable and the reals are not. We show that given any set, there is always a set of larger cardinal. We also include a discussion of the Axiom of Choice and its consequences, although it is not used anywhere in the body of the text.