
Real Analysis and Applications
Theory in Practice
By: Kenneth R. Davidson, Allan P. Donsig
Hardcover | 28 October 2009
At a Glance
528 Pages
23.5 x 16.51 x 3.18
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This new approach to real analysis stresses the use of the subject in applications, by showing how the principles and theory of real analysis can be applied in a variety of settings in subjects ranging from Fourier series and polynomial approximation to discrete dynamical systems and nonlinear optimization. Users will be prepared for more intensive work in each topic through these applications and their accompanying exercises. Chapter topics under the abstract analysis heading include: the real numbers, series, the topology of Rn, functions, normed vector spaces, differentiation and integration, and limits of functions. Applications cover approximation by polynomials, discrete dynamical systems, differential equations, Fourier series and physics, Fourier series and approximation, wavelets, and convexity and optimization. This book is appropriate for math enthusiasts with a prior knowledge of both calculus and linear algebra.
Review of the first edition, Real Analysis with Real Applications:
"A well balanced book The first solid analysis course, with proofs, is central in the offerings of any math.-dept.;-- and yet, the new books that hit the market don't always hit the mark: The balance between theory and applications, --between technical proofs and intuitive ideas, --between classical and modern subjects, and between real life exercises vs. the ones that drill a new concept. The Davidson-Donsig book is outstanding, and it does hit the mark. The writing is both systematic and engaged.- Refreshing Novel: includes wavelets, approximation theory, discrete dynamics, differential equations, Fourier analysis, and wave mechanics." (Palle E. T. Jorgenson, Review from Amazon.com)
Industry Reviews
From the reviews:
Real Analysis with Real Applications:
"A well balanced book! The first solid analysis course, with proofs, is central in the offerings of any math.-dept.;-- and yet, the new books that hit the market don't always hit the mark: The balance between theory and applications, --between technical proofs and intuitive ideas,--between classical and modern subjects, and between real life exercises vs. the ones that drill a new concept. The Davidson-Donsig book is outstanding, and it does hit the mark. The writing is both systematic and engaged.- Refreshing! Novel: includes wavelets, approximation theory, discrete dynamics, differential equations, Fourier analysis, and wave mechanics." (Palle E. T. Jorgenson, Review from Amazon.com)
"In this exceptionally rich work, Davidson (Univ. of Waterloo, Canada) and Donsig (Univ. of Nebraska, Lincoln) meld material that is found in standard introductory real analysis works ... and applications from both the mathematical and 'real' worlds ... . The volume contains a substantial collection of exercises. Summing Up: Recommended. Upper-division undergraduates and graduate students." (D. Robbins, Choice, Vol. 47 (10), June, 2010)
"This book is intended to provide an introduction both to real analysis and to a range of important applications in various fields. ... In summary, this book is well conceived, well executed, and richer than many recent volumes in the same field. Teachers wanting a solid and interesting treatment that goes right to the point and does not bore good students with verbose explanations will find this book much to their liking. The volume also contains an adequate supply of exercises." (Teodora-Liliana RÄdulescu, Zentralblatt MATH, Vol. 1179, 2010)
| Analysis | |
| Review | p. 3 |
| Calculus | p. 3 |
| Linear Algebra | p. 5 |
| Appendix: Equivalence Relations | p. 7 |
| The Real Numbers | p. 9 |
| An Overview of the Real Numbers | p. 9 |
| The Real Numbers and Their Arithmetic | p. 10 |
| The Least Upper Bound Principle | p. 13 |
| Limits | p. 15 |
| Basic Properties of Limits | p. 19 |
| Monotone Sequences | p. 20 |
| Subsequences | p. 23 |
| Cauchy Sequences | p. 27 |
| Countable Sets | p. 31 |
| Series | p. 35 |
| Convergent Series | p. 35 |
| Convergence Tests for Series | p. 39 |
| Absolute and Conditional Convergence | p. 44 |
| Topology of Rn | p. 48 |
| n-Dimensional Space | p. 48 |
| Convergence and Completeness in Rn | p. 52 |
| Closed and Open Subsets of Rn | p. 56 |
| Compact Sets and the Heine-Borel Theorem | p. 61 |
| Functions | p. 67 |
| Limits and Continuity | p. 67 |
| Discontinuous Functions | p. 72 |
| Properties of Continuous Functions | p. 77 |
| Compactness and Extreme Values | p. 80 |
| Uniform Continuity | p. 82 |
| The Intermediate Value Theorem | p. 88 |
| Monotone Functions | p. 90 |
| Differentiation and Integration | p. 94 |
| Different)able Functions | p. 94 |
| The Mean Value Theorem | p. 99 |
| Riemann Integration | p. 103 |
| The Fundamental Theorem of Calculus | p. 109 |
| Norms and Inner Products | p. 113 |
| Normed Vector Spaces | p. 113 |
| Topology in Normed Spaces | p. 117 |
| Finite-Dimensional Normed Spaces | p. 120 |
| Inner Product Spaces | p. 124 |
| Finite Orthonormal Sets | p. 128 |
| Fourier Series | p. 132 |
| Orthogonal Expansions and Hilbert Spaces | p. 136 |
| Limits orFunctions | p. 142 |
| Limits of Functions | p. 142 |
| Uniform Convergence and Continuity | p. 147 |
| Uniform Convergence and Integration | p. 150 |
| Series of Functions | p. 154 |
| Power Series | p. 161 |
| Compactness and Subsets of C(K) | p. 168 |
| Metric Spaces | p. 175 |
| Definitions and Examples | p. 175 |
| Compact Metric Spaces | p. 180 |
| Complete Metric Spaces | p. 183 |
| Applications | |
| Approximation by Polynomials | p. 189 |
| Taylor Series | p. 189 |
| How Not to Approximate a Function | p. 198 |
| Bernstein's Proof of the Weierstrass Theorem | p. 201 |
| Accuracy of Approximation | p. 204 |
| Existence of Best Approximations | p. 207 |
| Characterizing Best Approximations | p. 211 |
| Expansions Using Chebyshev Polynomials | p. 217 |
| Splines | p. 223 |
| Uniform Approximation by Splines | p. 231 |
| The Stone-Weierstrass Theorem | p. 235 |
| Discrete Dynamical Systems | p. 240 |
| Fixed Points and the Contraction Principle | p. 241 |
| Newton's Method | p. 252 |
| Orbits of a Dynamical System | p. 257 |
| Periodic Points | p. 262 |
| Chaotic Systems | p. 269 |
| Topological Conjugacy | p. 277 |
| Iterated Function Systems | p. 285 |
| Differential Equations | p. 293 |
| Integral Equations and Contractions | p. 293 |
| Calculus of Vector-Valued Functions | p. 297 |
| Differential Equations and Fixed Points | p. 300 |
| Solutions of Differential Equations | p. 304 |
| Local Solutions | p. 309 |
| Linear Differential Equations | p. 316 |
| Perturbation and Stability of DEs | p. 320 |
| Existence Without Uniqueness | p. 324 |
| Fourier Series and Physics | p. 328 |
| The Steady-State Heat Equation | p. 328 |
| Formal Solution | p. 332 |
| Convergence ih the Open Disk | p. 334 |
| The Poisson Formula | p. 337 |
| Poisson's Theorem | p. 341 |
| The Maximum Principle | p. 345 |
| The Vibrating String (Formal Solution) | p. 347 |
| The Vibrating String (Rigorous Solution) | p. 353 |
| Appendix: The Complex Exponential | p. 356 |
| Fourier Series and Approximation | p. 360 |
| The Riemann-Lebesgue Lemma | p. 360 |
| Pointwise Convergence of Fourier Series | p. 364 |
| Gibbs's Phenomenon | p. 372 |
| Cesaro Summation of Fourier Series | p. 376 |
| Least Squares Approximations | p. 383 |
| The Isoperimetric Problem | p. 387 |
| Best Approximation by Trigonometric Polynomials | p. 390 |
| Connections with Polynomial Approximation | p. 393 |
| Jackson's Theorem and Bernstein's Theorem | p. 397 |
| Wavelets | p. 406 |
| Introduction | p. 406 |
| The Haar Wavelet | p. 408 |
| Multiresolution Analysis | p. 412 |
| Recovering the Wavelet | p. 416 |
| Daubechies Wavelets | p. 420 |
| Existence of the Daubechies Wavelet | p. 426 |
| Approximations Using Wavelets | p. 429 |
| The Franklin Wavelet | p. 433 |
| Riesz Multiresolution Analysis | p. 440 |
| Convexity and Optimization | p. 449 |
| Convex Sets | p. 449 |
| Relative Interior | p. 455 |
| Separation Theorems | p. 460 |
| Extreme Points | p. 464 |
| Convex Functions in One Dimension | p. 467 |
| Convex Functions in Higher Dimensions | p. 473 |
| Subdifferentials and Directional Derivatives | p. 477 |
| Tangent and Normal Cones | p. 487 |
| Constrained Minimization | p. 491 |
| The Minimax Theorem | p. 498 |
| References | p. 505 |
| Index | p. 507 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780387980973
ISBN-10: 0387980970
Series: Undergraduate Texts in Mathematics
Published: 28th October 2009
Format: Hardcover
Language: English
Number of Pages: 528
Audience: Professional and Scholarly
Publisher: Springer Nature B.V.
Country of Publication: US
Dimensions (cm): 23.5 x 16.51 x 3.18
Weight (kg): 0.89
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