
The Theory of Distributions
A Nontechnical Introduction
Cambridge University Press
Published on 29. September 1995
Book
Paperback/Softback
160 pages
978-0-521-55890-7 (ISBN)
Description
This book is a self-contained introduction to the theory of distributions, sometimes called generalized functions. Most books on this subject are either intuitive or else rigorous but technically demanding. Here, by concentrating on the essential results, the authors have introduced the subject in a way that will most appeal to non-specialists, yet is still mathematically correct. Topics covered include: the Dirac delta function, generalized functions, dipoles, quadrupoles, pseudofunctions and Fourier transforms. The self-contained treatment does not require any knowledge of functional analysis or topological vector spaces; even measure theory is not needed for most of the book. The book, which can be used either to accompany a course or for self-study, is liberally supplied with exercises. It will be a valuable introduction to the theory of distributions and their applications for students or professionals in statistics, physics, engineering and economics.
Reviews / Votes
'A clear and concise introduction that should be especially helpful to graduate students in mathematics.' ChoiceMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
11 Tables, unspecified
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 9 mm
Weight
254 gr
ISBN-13
978-0-521-55890-7 (9780521558907)
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Schweitzer Classification
Other editions
Additional editions

Book
05/1990
Cambridge University Press
€37.08
Article exhausted; check for reprint
Previous edition

Book
05/1990
Cambridge University Press
€37.08
Article exhausted; check for reprint
Persons
Content
Preface; 1. Introduction; 2. The elements of distribution theory: Section 1. Basic Definitions and Facts; Section 2. Convolutions; 3. Examples of distributions; 4. Fourier transforms; 5. Tempered distributions; 6. Extension to higher dimensions; 7. A general definition of multiplication and convolution for distributions; Appendices; Bibliography; Index.