Display Abstract

Title An operatorial approach to stochastic partial differential equations driven by linear multiplicative~noise

Name Michael Roeckner
Country Germany
Email roeckner@math.uni-bielefeld.de
Co-Author(s) Viorel Barbu
Submit Time 2014-02-27 10:24:53
Session
Special Session 53: Infinite dimensional stochastic systems and applications
Contents
In this talk, we develop a new general approach to the existence and uniqueness theory of infinite dimensional stochastic equations of the form dX(t)+A(t,X(t)) dt=X(t) dW(t) in (0,T)\times H, where A is a time-dependent nonlinear monotone and demicontinuous operator from V to V', coercive and with polynomial growth. Here, V is a reflexive Banach space continuously and densely embedded in a Hilbert space H of (generalized) functions on a domain \mathcal{O}\subset\mathbb{R}^d and V' is the dual of V in the duality induced by H as pivot space. Furthermore, W is a Wiener process in H. The new approach is based on an operatorial reformulation of the stochastic equation which is quite robust under perturbation of A. This leads to new existence and uniqueness results for a larger class of equations with linear multiplicative noise than the one treatable by the known approaches. In addition, we obtain regularity results for the solutions with respect to both the time and spatial variable which are sharper than the classical ones. New applications include stochastic partial differential equations, as e.g. stochastic transport equations.