Strong uniqueness for stochastic evolution equations in Hilbert spaces perturbed by a bounded measurable drift

Abstract

We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilbert spaces with merely measurable bounded drift and cylindrical Wiener noise, thus generalizing Veretennikov's fundamental result on ${\mathbb{R}}^d$ to infinite dimensions. Because Sobolev regularity results implying continuity or smoothness of functions do not hold on infinite-dimensional spaces, we employ methods and results developed in the study of Malliavin-Sobolev spaces in infinite dimensions. The price we pay is that we can prove uniqueness for a large class, but not for every initial distribution. Such restriction, however, is common in infinite dimensions.

Published in at http://dx.doi.org/10.1214/12-AOP763 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

References in corpus (2)

• Pathwise uniqueness for singular SDEs driven by stable processes
• Maximal $L^2$ regularity for Dirichlet problems in Hilbert spaces

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