In this lecture series we will introduce the concept of stochastic variational inequalities (SVI) as a concept of solutions to SPDE. The interest in this concept of solutions is twofold: First, SVI solutions can be used in certain situations in which the "variational" approach to SPDE fails, e.g. multi-valued cases. We will demonstrate this by applying the general theory of SVI solutions to the stochastic total variation flow, arising in self-organized criticality. Second, the concept of SVI solutions offers nice stability properties with respect to perturbations, which will be demonstrated by introducing a stochastic analog of Mosco-convergence which yields a sufficient condition for the convergence of the corresponding semigroups. The general theory will be demonstrated by proving the convergence of non-local approximations to local stochastic p-Laplace equations.
Frequency | Weekday | Time | Format / Place | Period | |
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block | Block | 16-18 | V5-148 | 13.-19.02.2019
not on: 2/18/19 |
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one-time | Mi | 14-16 | V4-116 | 20.02.2019 | |
block | Block | 16:15-17:45 | V4-116 | 27.02.-01.03.2019 |