An Introduction to Infinite-Dimensional Analysis
In this revised and extended version of his course notes from a 1-year course at Scuola Normale Superiore, Pisa, the author provides an introduction – for an audience knowing basic functional analysis and measure theory but not necessarily probability theory – to analysis in a separable Hilbert spac...
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Format: | Electronic eBook |
Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Gaussian measures in Hilbert spaces
- The Cameron–Martin formula
- Brownian motion
- Stochastic perturbations of a dynamical system
- Invariant measures for Markov semigroups
- Weak convergence of measures
- Existence and uniqueness of invariant measures
- Examples of Markov semigroups
- L2 spaces with respect to a Gaussian measure
- Sobolev spaces for a Gaussian measure
- Gradient systems.