Functional analysis for probability and stochastic processes : an introduction /

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Bibliographic Details
Author / Creator:Bobrowski, Adam.
Imprint:Cambridge, UK ; New York : Cambridge University Press, 2005.
Description:1 online resource (xii, 393 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11811882
Hidden Bibliographic Details
ISBN:0511130392
9780511130397
051112886X
9780511128868
9780511614583
0511614586
9780521831666
0521831660
1280434783
9781280434785
0521831660
9780521539371
0521539374
1107148553
9781107148550
9786610434787
6610434786
0511198981
9780511198984
0511181884
9780511181887
0511326777
9780511326776
Notes:Includes bibliographical references (pages 385-389) and index.
English.
Print version record.
Summary:This text is designed both for students of probability and stochastic processes, and for students of functional analysis. Numerous standard and non-standard examples and exercises make it suitable for both a textbook for a course as well as for self-study.
Other form:Print version: Bobrowski, Adam. Functional analysis for probability and stochastic processes. Cambridge, UK ; New York : Cambridge University Press, 2005 0521831660 0521539374
Table of Contents:
  • 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 Lévy processes
  • 8. Markov processes and semigroups of operators
  • 9. Appendixes
  • References
  • Index