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Wednesday, June 6, 2018 - 14:00 in V3-201


Variational Solutions to Nonlinear Stochastic Differential Equations in Hilbert Spaces

A talk in the Bielefeld Stochastic Afternoon series by
Michael Röckner from Bielefeld

Abstract: One introduces a new variational concept of solution for the stochastic differential equation $\mathrm{d}X+A(t)X\, \mathrm{d}t+ \lambda X \,\mathrm{d} t= \,\mathrm{d}W,$ $t\in(0,T)$; $X(0)=x$ in a real Hilbert space where $A(t)=\partial \varphi(t),$ $t\in(0,T)$, is a maximal monotone subpotential operator in $H$ while $W$ is a Wiener process in $H$ on a probability space $\{\Omega,\mathcal{F},\mathbb{P}\}$. In this new context, the solution $X=X(t,x)$ exists for each $x\in H$, is unique, and depends continuously on $x$. This functional scheme applies to a general class of stochastic PDE not covered by the classical variational existence theory and, in particular, to stochastic variational inequalities and parabolic stochastic equations with general monotone nonlinearities with low or superfast growth to $+\infty$. Reference: arXiv:1802.07533 Joint work with Viorel Barbu.



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