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## International Series in Natural Philosophy

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Foreword

Editor's Note

Chapter 1. Normed and Countably-Normed Spaces

1.1. Topological Spaces

1.2. Metric Spaces

1.3. Topological Linear Spaces

1.4. Normed Spaces

1.5. Countably-Normed Spaces

1.6. Continuous Linear Functionals

1.7. The Hahn-Banach Theorem

1.8. Dual Spaces, Strong and Weak Topologies on Dual Spaces

1.9. Strong and Weak Topologies on Initial Spaces

1.10. The Union and Direct Sum of Countably-Normed Spaces

1.10.1. The Union of Countably-Normed Spaces

1.10.2. The Direct Sum of Countably-Normed Spaces

1.11. Linear Operators

Chapter 2. Test Function Spaces

2.1. Notation

2.2. The Test Space D(K)

2.3. The Test Space D

2.4. The Test Space A

2.5. The Test Space ε

Chapter 3. Distribution Spaces

3.1. The Distribution Space D'(K)

3.2. The Distribution Space D'

3.3. The Distribution Space A'

3.4. The Distribution Space ε'

Chapter 4. Local Properties of Distributions

4.1. Partitions of Unity

4.2. The Support of a Distribution

Chapter 5. Simple Examples of Distributions

5.1. The Dirac Measure

5.2. The Principal Value

5.3. The Sokhotski-Plemelj Formula

Chapter 6. Operations on Distributions

6.1. Translation and Reflection

6.2. Multiplication of Distributions by Infinitely Differentiable Functions

6.3. Multiplication of Distributions

6.4. Differentiation of Distributions

6.5. Some Applications

Chapter 7. Distributions with Compact Support and the General Structure of Tempered Distributions

7.1. The Space ε' as the Space of Distributions with Compact Support

7.2. A System of Integral Norms on A

7.3. Tempered Distributions as Derivatives of Slowly Increasing Functions

7.4. The Structure of Distributions which are Concentrated at a Point

Chapter 8. Functions with Non-Integrable Algebraic Singularities

8.1. The Problem of Regularization of Divergent Integrals

8.2. Distributions which Depend on a Parameter

8.3. Regularization by Analytic Continuation

8.3.1. An Example

8.3.2. The Distributions x+λ and x-λ

8.3.3. The Distributions 1/xn, n = 1,2,...

8.3.4. The Distributions (x±i0)λ

8.3.5. Expansion of the Distribution-Valued Functions x±λ in Taylor and Laurent Series

8.3.6. The Distribution rλ

Chapter 9. The Tensor Product and the Convolution of Distributions

9.1. The Tensor Product of Distributions

9.2. The Convolution of Distributions

9.3. Regularization of Distributions

9.4. Fundamental Solutions of Linear Differential Operators

Chapter 10. Fourier Transforms

10.1. Fourier Transforms of Test Functions in A and Distributions in A'

10.2. Fourier Transforms of Test Functions in D and Distributions in D'

10.3. The Convolution Theorem

10.4. Fourier Transforms of Distributions in ε'

10.5. The Calculation of the Fourier Transforms of Certain Distributions by Analytic Continuation

10.6. A Fundamental Lemma in the Theory of Fourier-Laplace Transforms of Distributions

10.7. Fourier-Laplace Transforms of Distributions

10.8. The Product of Distributions in a Certain Class

Chapter 11. Distributions Connected with the Light Cone

11.1 Distributions Concentrated on a Smooth Surface

11.1.1. Definitions

11.1.2. Examples

11.1.3. Properties of δ(P), δ'(P), ...

11.2. Distributions Concentrated on a Cone

11.3. The Solution of the Cauchy Problem for the Wave Equation

11.4. The Tempered Distributions δ±(p2-m2) and δ(p2-m2)

11.5. Some Fourier Transforms

Chapter 12. Hilbert Space and Distributions. Applications in Physics

12.1 Preliminaries: Some Elementary Remarks on Linear Operators in Hilbert Space

12.2. Analytic Vectors: Nelson's Theorem

12.3. Fock Space and the Annihilation and Creation Operators

12.3.1. Fock Space

12.3.2. The Annihilation and Creation Operators

12.3.3. Quantized Distributions

12.4. The Free Scalar Neutral Field

12.4.1. Relativistic Fock Space

12.4.2. The Free Scalar Neutral Field

12.4.3. The Two-point Function

Appendix. Ultradistributions

A.1. What are Ultradistributions

A.2. Beuerling-Bjorck Ultradistributions

A.3. Fourier-Laplace Transforms

A.4. Positive Definite Ultradistributions

References

Index

Other Titles in the Series

### F. Constantinescu

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1st Edition - January 1, 1980

Author: F. Constantinescu

Editors: J. E. G. Farina, G. H. Fullerton

Language: EnglisheBook ISBN:

9 7 8 - 1 - 4 8 3 1 - 5 0 2 0 - 8

Distributions and Their Applications in Physics is the introduction of the Theory of Distributions and their applications in physics. The book contains a discussion of those… Read more

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Distributions and Their Applications in Physics is the introduction of the Theory of Distributions and their applications in physics. The book contains a discussion of those topics under the Theory of Distributions that are already considered classic, which include local distributions; distributions with compact support; tempered distributions; the distribution theory in relativistic physics; and many others. The book also covers the Normed and Countably-normed Spaces; Test Function Spaces; Distribution Spaces; and the properties and operations involved in distributions. The text is recommended for physicists that wish to be acquainted with distributions and their relevance and applications as part of mathematical and theoretical physics, and for mathematicians who wish to be acquainted with the application of distributions theory for physics.

Foreword

Editor's Note

Chapter 1. Normed and Countably-Normed Spaces

1.1. Topological Spaces

1.2. Metric Spaces

1.3. Topological Linear Spaces

1.4. Normed Spaces

1.5. Countably-Normed Spaces

1.6. Continuous Linear Functionals

1.7. The Hahn-Banach Theorem

1.8. Dual Spaces, Strong and Weak Topologies on Dual Spaces

1.9. Strong and Weak Topologies on Initial Spaces

1.10. The Union and Direct Sum of Countably-Normed Spaces

1.10.1. The Union of Countably-Normed Spaces

1.10.2. The Direct Sum of Countably-Normed Spaces

1.11. Linear Operators

Chapter 2. Test Function Spaces

2.1. Notation

2.2. The Test Space D(K)

2.3. The Test Space D

2.4. The Test Space A

2.5. The Test Space ε

Chapter 3. Distribution Spaces

3.1. The Distribution Space D'(K)

3.2. The Distribution Space D'

3.3. The Distribution Space A'

3.4. The Distribution Space ε'

Chapter 4. Local Properties of Distributions

4.1. Partitions of Unity

4.2. The Support of a Distribution

Chapter 5. Simple Examples of Distributions

5.1. The Dirac Measure

5.2. The Principal Value

5.3. The Sokhotski-Plemelj Formula

Chapter 6. Operations on Distributions

6.1. Translation and Reflection

6.2. Multiplication of Distributions by Infinitely Differentiable Functions

6.3. Multiplication of Distributions

6.4. Differentiation of Distributions

6.5. Some Applications

Chapter 7. Distributions with Compact Support and the General Structure of Tempered Distributions

7.1. The Space ε' as the Space of Distributions with Compact Support

7.2. A System of Integral Norms on A

7.3. Tempered Distributions as Derivatives of Slowly Increasing Functions

7.4. The Structure of Distributions which are Concentrated at a Point

Chapter 8. Functions with Non-Integrable Algebraic Singularities

8.1. The Problem of Regularization of Divergent Integrals

8.2. Distributions which Depend on a Parameter

8.3. Regularization by Analytic Continuation

8.3.1. An Example

8.3.2. The Distributions x+λ and x-λ

8.3.3. The Distributions 1/xn, n = 1,2,...

8.3.4. The Distributions (x±i0)λ

8.3.5. Expansion of the Distribution-Valued Functions x±λ in Taylor and Laurent Series

8.3.6. The Distribution rλ

Chapter 9. The Tensor Product and the Convolution of Distributions

9.1. The Tensor Product of Distributions

9.2. The Convolution of Distributions

9.3. Regularization of Distributions

9.4. Fundamental Solutions of Linear Differential Operators

Chapter 10. Fourier Transforms

10.1. Fourier Transforms of Test Functions in A and Distributions in A'

10.2. Fourier Transforms of Test Functions in D and Distributions in D'

10.3. The Convolution Theorem

10.4. Fourier Transforms of Distributions in ε'

10.5. The Calculation of the Fourier Transforms of Certain Distributions by Analytic Continuation

10.6. A Fundamental Lemma in the Theory of Fourier-Laplace Transforms of Distributions

10.7. Fourier-Laplace Transforms of Distributions

10.8. The Product of Distributions in a Certain Class

Chapter 11. Distributions Connected with the Light Cone

11.1 Distributions Concentrated on a Smooth Surface

11.1.1. Definitions

11.1.2. Examples

11.1.3. Properties of δ(P), δ'(P), ...

11.2. Distributions Concentrated on a Cone

11.3. The Solution of the Cauchy Problem for the Wave Equation

11.4. The Tempered Distributions δ±(p2-m2) and δ(p2-m2)

11.5. Some Fourier Transforms

Chapter 12. Hilbert Space and Distributions. Applications in Physics

12.1 Preliminaries: Some Elementary Remarks on Linear Operators in Hilbert Space

12.2. Analytic Vectors: Nelson's Theorem

12.3. Fock Space and the Annihilation and Creation Operators

12.3.1. Fock Space

12.3.2. The Annihilation and Creation Operators

12.3.3. Quantized Distributions

12.4. The Free Scalar Neutral Field

12.4.1. Relativistic Fock Space

12.4.2. The Free Scalar Neutral Field

12.4.3. The Two-point Function

Appendix. Ultradistributions

A.1. What are Ultradistributions

A.2. Beuerling-Bjorck Ultradistributions

A.3. Fourier-Laplace Transforms

A.4. Positive Definite Ultradistributions

References

Index

Other Titles in the Series

- No. of pages: 158
- Language: English
- Edition: 1
- Published: January 1, 1980
- Imprint: Pergamon
- eBook ISBN: 9781483150208

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