This book gives the basis of the probabilistic functional analysis
on Wiener space, developed during the last decade. The subject has
progressed considerably in recent years thr- ough its links with
QFT and the impact of Stochastic Calcu- lus of Variations of P.
Malliavin. Although the latter deals essentially with the
regularity of the laws of random varia- bles defined on the Wiener
space, the book focuses on quite different subjects, i.e.
independence, Ramer's theorem, etc. First year graduate level in
functional analysis and theory of stochastic processes is required
(stochastic integration with respect to Brownian motion, Ito
formula etc). It can be taught as a 1-semester course as it is, or
in 2 semesters adding preliminaries from the theory of stochastic
processes It is a user-friendly introduction to Malliavin calculus!
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!