Book contents
- Frontmatter
- 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
Preface
Published online by Cambridge University Press: 14 January 2010
- Frontmatter
- 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
Summary
This book is an expanded version of lecture notes for the graduate course “An Introduction to Methods of Functional Analysis in Probability and Stochastic Processes” that I gave for students of the University of Houston, Rice University, and a few friends of mine in Fall, 2000 and Spring, 2001. It was quite an experience to teach this course, for its attendees consisted of, on the one hand, a group of students with a good background in functional analysis having limited knowledge of probability and, on the other hand, a group of statisticians without a functional analysis background. Therefore, in presenting the required notions from functional analysis, I had to be complete enough for the latter group while concise enough so that the former would not drop the course from boredom. Similarly, for the probability theory, I needed to start almost from scratch for the former group while presenting the material in a light that would be interesting for the latter group. This was fun. Incidentally, the students adjusted to this challenging situation much better than I.
In preparing these notes for publication, I made an effort to make the presentation self-contained and accessible to a wide circle of readers. I have added a number of exercises and disposed of some. I have also expanded some sections that I did not have time to cover in detail during the course. I believe the book in this form should serve first year graduate, or some advanced undergraduate students, well. It may be used for a two-semester course, or even a one-semester course if some background is taken for granted.
- Type
- Chapter
- Information
- Functional Analysis for Probability and Stochastic ProcessesAn Introduction, pp. xi - xiiPublisher: Cambridge University PressPrint publication year: 2005