Overview

The book is devoted to study the relationships between Stochastic Partial Differential Equations and the associated Kolmogorov operator in spaces of continuous functions. In the first part, the theory of a weak convergence of functions is developed in order to give general results about Markov semigroups and their generator. In the second part, concrete models of Markov semigroups deriving from Stochastic PDEs are studied. In particular, Ornstein-Uhlenbeck, reaction-diffusion and Burgers equations have been considered. For each case the transition semigroup and its infinitesimal generator have been investigated in a suitable space of continuous functions. The main results show that the set of exponential functions provides a core for the Kolmogorov operator. As a consequence, the uniqueness of the Kolmogorov equation for measures has been proved.

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From the reviews: This volume of the Edizioni Della Normale is based on the authors's thesis about the relationship of the solutions of a class stochastic partial differential equations (SPDE) with additive noise, the associated Kolmogorov operator and the associated Markov generator on spaces of continuous functions. ! This monography gives a nice introduction to the field of measure valued Kolmogorov equations for a quite general class SPDE. (Michael Hogele, Zentralblatt MATH, Vol. 1198, 2010)

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