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Introduction to Hilbert Spaces With Applications,9780122084362
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Introduction to Hilbert Spaces With Applications


Edition: 2nd
Author(s): Debnath, Lokenath; Mikusinski, Piotr
ISBN10:  0122084365
ISBN13:  9780122084362
Format:  Hardcover
Pub. Date:  11/1/1998
Publisher(s): Academic Pr

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SummaryTable of Contents
Continuing on the success of the previous edition, Introduction to Hilbert Spaces with Applications, Second Edition, offers an overview of the basic ideas and results of Hilbert space theory and functional analysis. It acquaints students with the Lebesque integral, and includes an enhanced presentation of results and proofs. Students and researchers benefit from the wealth of revised examples in new, diverse applications as they apply to optimization, variational and control problems, and problems in approximation theory, nonlinear instability, and bifurcation. The text also includes a new, well-researched chapter on wavelets. Students and researchers agree that this is the definitive text on Hilbert Space theory.

* Systematic exposition of the basic ideas and results of Hilbert space theory
* Introduction to the Lebesgue integral
* New chapter on wavelets
* Improved presentation on results and proof
* Revised examples and updated applications
* Completely updated list of references
Preface to the Second Edition xiii(2)
Preface to the First Edition xv
PART 1 THEORY 1(222)
CHAPTER 1 Normed Vector Spaces
1(36)
1.1 Introduction
1(1)
1.2 Vector Spaces
1(6)
1.3 Linear Independence, Basis, Dimension
7(1)
1.4 Normed Spaces
8(8)
1.5 Banach Spaces
16(4)
1.6 Linear Mappings
20(7)
1.7 Completion of Normed Spaces
27(1)
1.8 Contraction Mappings and the Banach Fixed Point Theorem
28(3)
1.9 Exercises
31(6)
CHAPTER 2 The Lebesgue Integral
37(50)
2.1 Introduction
37(1)
2.2 Step Functions
38(5)
2.3 Lebesgue Integrable Functions
43(3)
2.4 The Absolute Value of an Integrable Function
46(3)
2.5 Series of Integrable Functions
49(2)
2.6 Norm in L(1)(R)
51(2)
2.7 Convergence Almost Everywhere
53(4)
2.8 Fundamental Theorems
57(6)
2.9 Locally Integrable Functions
63(1)
2.10 The Lebesgue Integral and the Riemann Integral
63(3)
2.11 Lebesgue Measure on R
66(4)
2.12 Complex-Valued Lebesgue Integrable Functions
70(2)
2.13 The Space L(2)(R)
72(1)
2.14 The Spaces L(1)(R(N)) and L(2)(R(N))
73(4)
2.15 Convolution
77(3)
2.16 Exercises
80(7)
CHAPTER 3 Hilbert Spaces and Orthonormal Systems
87(52)
3.1 Introduction
87(1)
3.2 Inner Product Spaces--Definition and Examples
87(2)
3.3 Norm in an Inner Product Space
89(3)
3.4 Hilbert Spaces--Definition and Examples
92(6)
3.5 Strong and Weak Convergence
98(2)
3.6 Orthogonal and Orthonormal Systems
100(5)
3.7 Properties of Orthonormal Systems
105(10)
3.8 Trigonometric Fourier Series
115(5)
3.9 Orthogonal Complements and Projection Theorem
120(5)
3.10 Linear Functionals and the Riesz Representation Theorem
125(2)
3.11 Separable Hilbert Spaces
127(3)
3.12 Exercises
130(9)
CHAPTER 4 Linear Operators on Hilbert Spaces
139(84)
4.1 Introduction
139(1)
4.2 Examples of Operators
140(4)
4.3 Bilinear Functionals and Quadratic Forms
144(7)
4.4 Adjoint and Self-Adjoint Operators
151(6)
4.5 Invertible, Normal, Isometric, and Unitary Operators
157(5)
4.6 Positive Operators
162(6)
4.7 Projection Operators
168(4)
4.8 Compact Operators
172(6)
4.9 Eigenvalues and Eigenvectors
178(10)
4.10 Spectral Decomposition
188(5)
4.11 The Fourier Transform
193(13)
4.12 Unbounded Operators
206(8)
4.13 Exercises
214(9)
PART 2 APPLICATIONS 223(292)
CHAPTER 5 Applications to Integral and Differential Equations
223(56)
5.1 Introduction
223(1)
5.2 Basic Existence Theorems
224(6)
5.3 Fredholm Integral Equations
230(3)
5.4 Method of Successive Approximations
233(2)
5.5 Volterra Integral Equations
235(4)
5.6 Method of Solution for a Separable Kernel
239(4)
5.7 Volterra Integral Equations of the First Kind and Abel's Integral Equation
243(2)
5.8 Ordinary Differential Equations and Differential Operators
245(9)
5.9 Sturm-Liouville Systems
254(5)
5.10 Inverse Differential Operators and Green's Functions
259(5)
5.11 Applications of the Fourier Transform to Ordinary Differential Equations and Integral Equations
264(8)
5.12 Exercises
272(7)
Chapter 6 Generalized Functions and Partial Differential Equations
279(58)
6.1 Introduction
279(1)
6.2 Distributions
279(12)
6.3 Fundamental Solutions and Green's Functions for Partial Differential Equations
291(20)
6.4 Weak Solutions of Elliptic Boundary Value Problems
311(6)
6.5 Examples of Applications of Fourier Transforms to Partial Differential Equations
317(13)
6.6 Exercises
330(7)
CHAPTER 7 Mathematical Foundations of Quantum Mechanics
337(80)
7.1 Introduction
337(1)
7.2 Basic Concepts and Equations of Classical Mechanics
337(12)
7.3 Basic Concepts and Postulates of Quantum Mechanics
349(14)
7.4 The Heisenberg Uncertainty Principle
363(2)
7.5 The Schrodinger Equation of Motion
365(15)
7.6 The Schrodinger Picture
380(7)
7.7 The Heisenberg Picture and the Heisenberg Equation of Motion
387(4)
7.8 The Interaction Picture
391(1)
7.9 The Linear Harmonic Oscillator
392(6)
7.10 Angular Momentum Operators
398(7)
7.11 The Dirac Relativistic Wave Equation
405(4)
7.12 Exercises
409(8)
CHAPTER 8 Wavelets
417(30)
8.1 Brief Historical Remarks
417(3)
8.2 Continuous Wavelet Transforms
420(7)
8.3 The Discrete Wavelet Transform
427(7)
8.4 Multiresolution Analysis and Orthonormal Bases of Wavelets
434(9)
8.5 Exercises
443(4)
CHAPTER 9 Optimization Problems and Other Miscellaneous Applications
447(68)
9.1 Introduction
447(1)
9.2 The Gateaux and Frechet Differentials
448(12)
9.3 Optimization Problems and the Euler-Lagrange Equations
460(15)
9.4 Minimization of Quadratic Functionals
475(2)
9.5 Variational Inequalities
477(3)
9.6 Optimal Control Problems for Dynamical Systems
480(7)
9.7 Approximation Theory
487(5)
9.8 The Shannon Sampling Theorem
492(4)
9.9 Linear and Nonlinear Stability
496(4)
9.10 Bifurcation Theory
500(6)
9.11 Exercises
506(9)
Hints and Answers to Selected Exercises 515(16)
Bibliography 531(6)
List of Symbols
537(4)
Index 541

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