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Title:
A basic course in real analysis
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Physical Description:
xix, 302 pages : illustrations ; 24 cm.
ISBN:
9781482216370
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Material Type
Item Category 1
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32080000000180 QA331.5 K86 2014 Open Access Book Book
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Summary

Summary

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.


Table of Contents

Prefacep. xi
To the Studentsp. xiii
About the Authorsp. xv
List of Figuresp. xvii
1 Real Number Systemp. 1
1.1 Algebra of the Real Number Systemp. 1
1.2 Upper and Lower Boundsp. 3
1.3 LUB Property and Its Applicationsp. 7
1.4 Absolute Value and Triangle Inequalityp. 20
2 Sequences and Their Convergencep. 27
2.1 Sequences and Their Convergencep. 28
2.2 Cauchy Sequencesp. 40
2.3 Monotone Sequencesp. 43
2.4 Sandwich Lemmap. 46
2.5 Some Important Limitsp. 48
2.6 Sequences Diverging to ±∞p. 52
2.7 Subsequencesp. 53
2.8 Sequences Defined Recursivelyp. 58
3 Continuityp. 63
3.1 Continuous Functionsp. 63
3.2 ¿-¿ Definition of Continuityp. 71
3.3 Intermediate Value Theoremp. 78
3.4 Extreme Value Theoremp. 84
3.5 Monotone Functionsp. 87
3.6 Limitsp. 90
3.7 Uniform Continuityp. 99
3.8 Continuous Extensionsp. 103
4 Differentiationp. 109
4.1 Differentiability of Functionsp. 110
4.2 Moan Value Theoremsp. 119
4.3 Hospital's Rulesp. 130
4.4 Higher-order Derivativesp. 134
4.5 Taylor's Theoremp. 136
4.6 Convex Functionsp. 144
4.7 Cauchy's Form of the Remainderp. 160
5 Infinite Seriesp. 153
5.1 Convergence of an Infinite Seriesp. 154
5.2 Abel's Summation by Partsp. 103
5.3 Rearrangements of an Infinite Seriesp. 165
5.4 Cauchy Product of Two Infinite Seriesp. 172
6 Riemaim Integrationp. 175
6.1 Darboux Integrabilityp. 176
6.2 Properties of the Integralp. 186
6.3 Fundamental Theorems of Calculusp. 194
6.4 Mean Value Theorems for Integralsp. 199
6.5 Integral Form of the Remainderp. 203
6.6 Riemarm's Original Definitionp. 205
6.7 Sum of an Infinite Series ILS an Integralp. 210
6.8 Logarithmic and Exponential Functionsp. 212
6.9 Improper Riemann Integralsp. 214
7 Sequences and Series of Functionsp. 221
7.1 Pointwise Convergencep. 221
7.2 Uniform Convergencep. 228
7.3 Consequences of Uniform Convergencep. 231
7.4 Series of Functionsp. 246
7.5 Power Seriesp. 251
7.6 Taylor Series of a Smooth Functionp. 258
7.7 Binomial Seriesp. 261
7.3 Weierstrass Approximation Theoremp. 264
A Quantifiersp. 271
B Limit Inferior and Limit Superiorp. 277
C Topics for Student Seminarsp. 283
D Hints for Selected Exercisesp. 287
D.1 Chapter 1p. 287
D.2 Chapter 2p. 288
D.3 Chapter 3p. 290
D.4 Chapter 4p. 291
D.5 Chapter 5p. 293
D.6 Chapter 6p. 294
D.7 Chapter 7p. 295
Bibliographyp. 297
Indexp. 299
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