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
9 - Appendixes
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
Bibliographical notes
Notes to Chapter 1 Rudiments of measure theory may be found in. Classics in this field are and; see also. A short but excellent account on convex functions may be found in, Chapter V, Section 8. A classical detailed treatment may be found in. The proof of the Steinhaus Theorem is taken from.
Notes to Chapter 2 There are many excellent monographs devoted to Functional Analysis, including. Missing proofs of the statements concerning locally compact spaces made in 2.3.25 may be found in and.
Notes to Chapter 3 Among the best references on Hilbert spaces are and. The proof of Jensen's inequality is taken from; different proofs may be found in and. Some exercises in 3.3 were taken from and. An excellent and well-written introductory book on martingales is; the proof of the Central Limit Theorem is taken from this book. Theorems 3.6.5 and 3.6.7 are taken from. A different proof of 3.6.7 may be found e.g. in.
Notes to Chapter 4 Formula (4.11) is taken from. Our treatment of the Itô integral is largely based on. For detailed information on matters discussed in 4.4.8 see e.g., and. To be more specific: for integrals with respect to square integrable martingales see e.g. Proposition 3.4 p. 67, Corollary 5.4 p. 78, Proposition 6.1. p. 79, Corollary 5.4, and pp. 279–282 in, or Chapter 3 in or Chapter 2 in. See also, etc.
- Type
- Chapter
- Information
- Functional Analysis for Probability and Stochastic ProcessesAn Introduction, pp. 363 - 384Publisher: Cambridge University PressPrint publication year: 2005