Real analysis and foundations / Steven G. Krantz.

"A Chapman & Hall book."

Includes bibliographical references and index.

Preface

0 Background Material
0.1 Number Systems
0.1.1 The Natural Numbers
0.1.2 The Integers
0.1.3 The Rational Numbers

02 Logic and Set
0.2.1 And” and “Or”
0.2.2 “not” and “if then”
0.2.3 Contrapositive, Converse, and “Iff”
0.2.4 Quantifiers
0.2.5 Set Theory and Venn Diagrams
0.2.6 Relations and Functions
0.2.7 Countable and Uncountable Sets

1 Real and Complex Numbers
1.1 The Real Numbers
Appendix: Construction of the Real Numbers
1.2 The Complex Numbers
2 Sequences 71
2.1 Convergence of Sequences
2.2 Subsequences
2.3 Limsup and Liminf
2.4 Some Special Sequences

3 Series of Numbers
3.1 Convergence of Series
3.2 Elementary Convergence Tests
3.3 Advanced Convergence Tests
3.4 Some Special Series
3.5 Operations on Series

4 Basic Topology
4.1 Open and Closed Sets
4.2 Further Properties of Open and Closed Sets
4.3 Compact Sets
4.4 The Cantor Set
4.5 Connected and Disconnected Sets
4.6 Perfect Sets

5 Limits and Continuity of Functions
5.1 Basic Properties of the Limit of a Function
5.2 Continuous Functions
5.3 Topological Properties and Continuity
5.4 Classifying Discontinuities and Monotonicity

6 Differentiation of Functions
6.1 The Concept of Derivative
6.2 The Mean Value Theorem and Applications
6.3 More on the Theory of Differentiation

7 The Integral
7.1 Partitions and the Concept of Integral
7.2 Properties of the Riemann Integral
7.3 Change of Variable and Related Ideas
7.4 Another Look at the Integral
7.5 Advanced Results on Integration Theory

8 Sequences and Series of Functions
8.1 Partial Sums and Pointwise Convergence
8.2 More on Uniform Convergence
8.3 Series of Functions
8.4 The Weierstrass Approximation Theorem

9 Elementary Transcendental Functions
9.1 Power Series
9.2 More on Power Series: Convergence Issues
9.3 The Exponential and Trigonometric Functions
9.4 Logarithms and Powers of Real Numbers

10 Functions of Several Variables
10.1 A New Look at the Basic Concepts of Analysis
10.2 Properties of the Derivative
10.3 The Inverse and Implicit Function Theorems

11 Advanced Topics
11.1 Metric Spaces
11.2 Topology in a Metric Space
11.3 The Baire Category Theorem
11.4 The Ascoli-Arzela Theorem

12 Differential Equations
12.1 Picard’s Existence and Uniqueness Theorem
12.1.1 The Form of a Differential Equation
12.1.2 Picard’s Iteration Technique
12.1.3 Some Illustrative Examples
12.1.4 Estimation of the Picard Iterates
12.2 Power Series Methods

13 Introduction to Harmonic Analysis
13.1 The Idea of Harmonic Analysis
13.2 The Elements of Fourier Series
13.3 An Introduction to the Fourier Transform
Appendix: Approximation by Smooth Functions
13.4 Fourier Methods and Differential Equations
13.4.1 Remarks on Different Fourier Notations
13.4.2 The Dirichlet Problem on the Disc
13.4.3 Introduction to the Heat and Wave Equations
13.4.4 Boundary Value Problems
13.4.5 Derivation of the Wave Equation
13.4.6 Solution of the Wave Equation
13.5 The Heat Equation

Appendix: Review of Linear Algebra
Table of Notation
Glossary
Bibliography
Index

Through four editions this popular textbook attracted a loyal readership and widespread use. Students find the book to be concise, accessible, and complete. Instructors find the book to be clear, authoritative, and dependable.

The primary goal of this new edition remains the same as in previous editions. It is to make real analysis relevant and accessible to a broad audience of students with diverse backgrounds while also maintaining the integrity of the course. This text aims to be the generational touchstone for the subject and the go-to text for developing young scientists.

This new edition continues the effort to make the book accessible to a broader audience. Many students who take a real analysis course do not have the ideal background. The new edition offers chapters on background material like set theory, logic, and methods of proof. The more advanced material in the book is made more apparent.

This new edition offers a new chapter on metric spaces and their applications. Metric spaces are important in many parts of the mathematical sciences, including data mining, web searching, and classification of images.

The author also revised the material on sequences and series adding examples and exercises that compare convergence tests and give additional tests.

The text includes rare topics such as wavelets and applications to differential equations. The level of difficulty moves slowly, becoming more sophisticated in later chapters. Students have commented on the progression as a favorite aspect of the textbook.

The author is perhaps the most prolific expositor of upper division mathematics. With over seventy books in print, thousands of students have been taught and learned from his books. Provided by the publisher.

Biography

Steven G. Krantz is a professor of mathematics at Washington University in St. Louis. He has previously taught at UCLA, Princeton University, and Pennsylvania State University. He has written more than 130 books and more than 250 scholarly papers and is the founding editor of the Journal of Geometric Analysis. An AMS Fellow, Dr. Krantz has been a recipient of the Chauvenet Prize, Beckenbach Book Award, and Kemper Prize. He received a Ph.D. from Princeton University.