
Functional Analysis for Probability and Stochastic Processes
An Introduction
Adam Bobrowski(Author)
Cambridge University Press
Published on 11. August 2005
Book
Paperback/Softback
406 pages
978-0-521-53937-1 (ISBN)
Description
This text is designed both for students of probability and stochastic processes, and for students of functional analysis. For the reader not familiar with functional analysis a detailed introduction to necessary notions and facts is provided. However, this is not a straight textbook in functional analysis; rather, it presents some chosen parts of functional analysis that can help understand ideas from probability and stochastic processes. The subjects range from basic Hilbert and Banach spaces, through weak topologies and Banach algebras, to the theory of semigroups of bounded linear operators. Numerous standard and non-standard examples and exercises make the book suitable as a course textbook or for self-study.
Reviews / Votes
"My impression is that this text might well succeed as an attractive introduction to, or even as propaganda for the subject of probability and stochastic processes for a well-educated analyst without a probabilistic background."N.H. Bingham, Journal of the American Statistical Association
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 22 mm
Weight
586 gr
ISBN-13
978-0-521-53937-1 (9780521539371)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
10/2005
1st Edition
Cambridge University Press
€63.49
Available for download

Book
08/2005
Cambridge University Press
€201.20
Shipment within 15-20 days
Person
Adam Bobrowski is a Professor of Mathematics at Lublin University.
Content
Preface; 1. Preliminaries, notations and conventions; 2. Basic notions in functional analysis; 3. Conditional expectation; 4. Brownian motion and Hilbert spaces; 5. Dual spaces and convergence of probability measures; 6. The Gelfand transform and its applications; 7. Semigroups of operators and Levy processes; 8. Markov processes and semigroups of operators; 9. Appendixes; References; Index.