A Concise Approach to Mathematical Analysis

Front Cover
Springer Science & Business Media, 2003 - Mathematics - 366 pages
A Concise Approach to Mathematical Analysis introduces the undergraduate student to the more abstract concepts of advanced calculus. The main aim of the book is to smooth the transition from the problem-solving approach of standard calculus to the more rigorous approach of proof-writing and a deeper understanding of mathematical analysis. The first half of the textbook deals with the basic foundation of analysis on the real line; the second half introduces more abstract notions in mathematical analysis. Each topic begins with a brief introduction followed by detailed examples. A selection of exercises, ranging from the routine to the more challenging, then gives students the opportunity to practise writing proofs. The book is designed to be accessible to students with appropriate backgrounds from standard calculus courses but with limited or no previous experience in rigorous proofs. It is written primarily for advanced students of mathematics - in the 3rd or 4th year of their degree - who wish to specialise in pure and applied mathematics, but it will also prove useful to students of physics, engineering and computer science who also use advanced mathematical techniques.

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Contents

Numbers and Functions
5
12 Subsets of ℝ
19
13 Variables and Functions
29
Sequences
39
22 Convergence and Limits
43
23 Subsequences
54
24 Upper and Lower Limits
57
25 Cauchy Criterion
61
72 Series of Functions
190
73 Power Series
198
74 Taylor Series
204
Local Structure on the Real Line
217
82 Neighborhoods and Interior Points
225
83 Closure Point and Closure
230
84 Completeness and Compactness
234
Continuous Functions
245

Series
69
32 Conditional Convergence
74
33 Comparison Tests Term Comparison Test
82
34 Root and Ratio Tests
86
35 Further Tests
89
Limits and Continuity
99
42 Continuity of Functions
108
43 Properties of Continuous Functions
112
44 Uniform Continuity
116
Differentiation
127
52 Mean Value Theorem
133
53 LHôspitals Rule
136
54 Inverse Function Theorems
138
55 Taylors Theorem
141
Elements of Integration
149
62 Riemann Integral
157
63 Functions of Bounded Variation
168
64 RiemannStieltjes Integral
172
Sequences and Series of Functions
181
92 Functions Continuous on a Compact Set
249
93 StoneWeierstrass Theorem
255
94 Fixedpoint Theorem
261
95 AscoliArzelà Theorem
263
Introduction to the Lebesgue Integral
275
102 Lebesgue Integral
287
103 Improper Integral
300
104 Important Inequalities
304
Elements of Fourier Analysis
317
112 Convergent Trigonometric Series
323
113 Convergence in 2mean
326
114 Pointwise Convergence
332
Appendix
343
A2 Set Notations
345
A3 Cantors Ternary Set
347
A4 Bernsteins Approximation Theorem
348
Hints for Selected Exercises
351
Bibliography
365
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