醉染图书施瓦兹分布的希尔伯特变换与应用9787560389134

Preface

1 Some Background

1.1 Fourier Transforms and the Theory of Distributions

1.2 Fourier Transforms of L2 Functions

1.2.1 Fourier Transforms of Some Well-known Functions

1.3 Convolution of Functions

1.3.1 Differentiation of the Fourier Transform

1.4 Theory of Distributions

1.4.1 Topological Vector Spaces

1.4.2 Locally Convex Spaces

1.4.3 Schwartz Testing Function Space Its Topology and Distributions

1.4.4 The Calculus of Distribution

1.4.5 Distributional Differentiation

1.5 Primitive of Distributions

1.6 Characterization of Distributions of Compact Supports

1.7 Convolution of Distributions

1.8 The Direct Product of Distributions

1.9 The Convolution of Functions

1.10 Regularization of Distributions

1.11 The Continuity of the Convolution Process

1.12 Fourier Transforms and Tempered Distributions

1.12.1 The Testing Function Space S(Rn)

1.13 The Space of Distributions of Slow Growth SI(Rn)

1.14 A Boundedness Property of Distributions of Slow Growth and Its Structure Formula,

1.15 A Characterization Formula for Tempered Distributions

1.16 Fourier Transform of Tempered Distributions

1.17 Fourier Transform of Distributions in D(Rn) Exercises

2 The Riemann-Hilbert Problem

2.1 Some Corollaries on Cauchy Integrals

2.2 Riemarms Problem

2.2.1 The Hilbert Problem

2.2.2 Riemann-Hilbert problem

. Carlemans Approach to Solving the Riemann-Hilbert Problem

2.4 The Hilbert Inversion Formula for Periodic Functions

2.5 The Hilbert Transform on the Real Line

2.6 Finite Hilbert Transform as Applied to Aerofoil Theories

2.7 The Riemann-Hilbert Problem Applied to Crack Problems

2.8 Reduction of a Griffith Crack Problem to the Hilbert problem

2.9 Further Applications of the Hilbert Transform

2.9.1 The Hiibert Transform

2.9.2 The Hibert Transform and the Dispersion Relations Exercises

3 The Hilbert Transform of Distributions in D Lp, 1
3.1 Introduction

3.2 Classical Hilbert Transform

3.3 Schwartz Testing Function Space,D Lp, 1
3.3.1 The Topology on the Space D Lp

3.4 The Hilbert Transform of Distributions in D Lp, 1
3.4.1 Regular Distribution in D Lp

3.5 The Inversion Theorem

3.5.1 Some Examples and Applications

3.6 Approximate Hilbert Transform of Distributions

3.6.1 Analytic Representation

3.6.2 Distributional Representation of Analytic Functions

3.7 Existence and Uniqueness of the Solution to a Dirichlet Boundary-Value Problem

3.8 The Hilbert Problem for Distributions in D Lp, 1
3.8.1 Description of the Problem

3.8.2 The Hilbert Problem in D Lp, 1
4 The Hilbert Transform of Schwartz Distributions

4.1 Introduction

4.2 The Testing Function Space H(D) and Its Topology

4.3 Generalized Hilbert Transformation

4.4 An Intrinsic Definition of the Space H(D) and Its Topology

4.5 The Intrinsic Definition of the Space H(D)

4.5.1 The Intrinsic Definition of the Topology of H(D)

4.6 A Gelfand-Shilov Technique for the Hilbert Transform

4.6.1 Gelfand-Shilov Testing Function Space

4.6.2 The Topology of the Space (b

4.7 An Extension of the Geifand-Shilov Technique for the Hilbert Transform,

4.7.1 The Testing Function Space S

4.7.2 The Testing Function Space Z

4.7.3 The Hilbert Transform of Ultradistributions in Z

4.8 Distributional Hilbert Transforms in n-Dimensions

4.8.1 The Testing Function Space S1(R n)

4.8.2 The Testing Function Space Z1(R n)

4.8.3 The Testing Function Space Sn(R n)

4.8.4 The Testing Function Space Zn(R n)

4.8.5 The Strict Inductive Limit Topology of Zn(Rn) Exercises

5 n-Dimensional Hiibert Transform

5.1 Generalized n-Dimensional Hilbert Transform and Applications

5.1.1 Notation and Preliminaries

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