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Stochastic analysis is often understood as the analysis of functionals defined on the Wiener space, i.e., the space on which the Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. This book provides readers with a concise introduction to stochastic analysis, in particular, to the Malliavin calculus. It contains a detailed description of all the technical tools necessary to describe the theory, such as the Wiener process, the Ornstein-Uhlenbeck process, and Sobolev spaces. It also presents applications...

The Taniguchi International workshop on 'New Trends in Stochastic Analysis' was held at Charingworth Manor, Gloucestershire, England from September 21-27, 1994. The workshop was followed by a symposium held with the Mathematics Research Centre of the University of Warwick from Sep 28 to Oct 1. In these meetings several of the new directions that stochastic analysis is taking were discussed, ranging from analysis on fractals to analysis on loop spaces.This volume contains articles by 15 participants, reflecting this range of topics. Amongst them are discussed: Sobolev and logrithmic Sobolev...

An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. Feller, K. Ito, and H. P. McKean, among others. In this book, Ito discussed a case of a general Markov process with state space S and a specified point a ∈ S called a boundary. The problem is to obtain all possible recurrent extensions of a given minimal process (i.e., the process on S which is absorbed on reaching the boundary a). The study in this lecture is restricted to a simpler case of the boundary a being a...