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.Read more
- Numerous standard and non-standard examples and exercises make the book suitable for both a textbook for a course as well as for self-study
- Unique in content, range, structure and presentation
- Very detailed clear and careful proofs
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: August 2005
- format: Paperback
- isbn: 9780521539371
- length: 406 pages
- dimensions: 229 x 153 x 28 mm
- weight: 0.655kg
- contains: 250 exercises
- availability: Available
Table of Contents
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
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.
Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.
Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.
If you are having problems accessing these resources please contact email@example.com.
Instructors have used or reviewed this title for the following courses
- Graduate Analysis ll
- Random Variables and Stochastic Process
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×
Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.×