paper

Stochastic variational inequalities and applications to the total variation flow perturbed by linear multiplicative noise

arXiv:1209.0351 · doi:10.1007/s00205-013-0632-x

Abstract

In this work, we introduce a new method to prove the existence and uniqueness of a variational solution to the stochastic nonlinear diffusion equation where is a bounded and open domain in , , and is a Wiener process of the form , $e_k \in C^2(\bar\mathcal{O})\cap H^1_0(\mathcal{O}),$ and , , are independent Brownian motions. This is a stochastic diffusion equation with a highly singular diffusivity term and one main result established here is that, for all initial conditions in , it is well posed in a class of continuous solutions to the corresponding stochastic variational inequality. Thus one obtains a stochastic version of the (minimal) total variation flow. The new approach developed here also allows to prove the finite time extinction of solutions in dimensions , which is another main result of this work. Keywords: stochastic diffusion equation, Brownian motion, bounded variation, convex functions, bounded variation flow.

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