1st Edition

# A Basic Course in Real Analysis

By Ajit Kumar, S. Kumaresan Copyright 2014
322 Pages 101 B/W Illustrations
by Chapman & Hall

322 Pages
by Chapman & Hall

Also available as eBook on:

Based on the authors’ combined 35 years of experience in teaching, A Basic Course in Real Analysis introduces students to the aspects of real analysis in a friendly way. The authors offer insights into the way a typical mathematician works observing patterns, conducting experiments by means of looking at or creating examples, trying to understand the underlying principles, and coming up with guesses or conjectures and then proving them rigorously based on his or her explorations.

With more than 100 pictures, the book creates interest in real analysis by encouraging students to think geometrically. Each difficult proof is prefaced by a strategy and explanation of how the strategy is translated into rigorous and precise proofs. The authors then explain the mystery and role of inequalities in analysis to train students to arrive at estimates that will be useful for proofs. They highlight the role of the least upper bound property of real numbers, which underlies all crucial results in real analysis. In addition, the book demonstrates analysis as a qualitative as well as quantitative study of functions, exposing students to arguments that fall under hard analysis.

Although there are many books available on this subject, students often find it difficult to learn the essence of analysis on their own or after going through a course on real analysis. Written in a conversational tone, this book explains the hows and whys of real analysis and provides guidance that makes readers think at every stage.

Real Number System
Algebra of the Real Number System
Upper and Lower Bounds
LUB Property and Its Applications
Absolute Value and Triangle Inequality

Sequences and Their Convergence
Sequences and Their Convergence
Cauchy Sequences
Monotone Sequences
Sandwich Lemma
Some Important Limits
Sequences Diverging to
Subsequences
Sequences Defined Recursively

Continuity
Continuous Functions
Definition of Continuity
Intermediate Value Theorem .
Extreme Value Theorem
Monotone Functions
Limits
Uniform Continuity
Continuous Extensions

Differentiation
Differentiability of Functions
Mean Value Theorems
L'Hospital's Rules
Higher-order Derivatives
Taylor's Theorem
Convex Functions
Cauchy's Form of the Remainder

Infinite Series
Convergence of an Infinite Series
Abel's Summation by Parts
Rearrangements of an Infinite Series
Cauchy Product of Two Infinite Series

Riemann Integration
Darboux Integrability
Properties of the Integral
Fundamental Theorems of Calculus
Mean Value Theorems for Integrals
Integral Form of the Remainder
Riemann's Original Definition
Sum of an Infinite Series as an Integral
Logarithmic and Exponential Functions
Improper Riemann Integrals

Sequences and Series of Functions
Pointwise Convergence
Uniform Convergence
Consequences of Uniform Convergence
Series of Functions
Power Series
Taylor Series of a Smooth Function
Binomial Series
Weierstrass Approximation Theorem

A Quantifiers
B Limit Inferior and Limit Superior
C Topics for Student Seminars
D Hints for Selected Exercises
Bibliography
Index

"… there are some unique features that put this book aside. … a welcome addition to the library of teachers and student alike."
Zentralblatt MATH 1308

"… this book describes the basic results of analysis in an extremely clear, straightforward, and well-motivated way. … if you’re looking for a text on the easy end of the spectrum for a course in real analysis, then this book is certainly worth a serious look …"
MAA Reviews, October 2014