Stochastic Analysis

Stochastic Analysis Synopsis

This book presents in thirteen refereed survey articles an overview of modern activity in stochastic analysis, written by leading international experts. The topics addressed include stochastic fluid dynamics and regularization by noise of deterministic dynamical systems; stochastic partial differential equations driven by Gaussian or Lévy noise, including the relationship between parabolic equations and particle systems, and wave equations in a geometric framework; Malliavin calculus and applications to stochastic numerics; stochastic integration in Banach spaces; porous media-type equations; stochastic deformations of classical mechanics and Feynman integrals and stochastic differential equations with reflection.

The articles are based on short courses given at the Centre Interfacultaire Bernoulli of the Ecole Polytechnique Fédérale de Lausanne, Switzerland, from January to June 2012. They offer a valuable resource not only for specialists, but also for other researchers and Ph.D. students in the fields of stochastic analysis and mathematical physics.

Contributors:

S. Albeverio
M. Arnaudon
V. Bally
V. Barbu
H. Bessaih
Z. Brzezniak
K. Burdzy
A.B. Cruzeiro
F. Flandoli
A. Kohatsu-Higa
S. Mazzucchi
C. Mueller
J. van Neerven
M. Ondreját
S. Peszat
M. Veraar
L. Weis
J.-C. Zambrini