[Lecture] Probability Seminar—Large deviation principle of occupation measures for SPDEs
Nov. 26, 2018
Title: Probability Seminar—Large deviation principle of occupation measures for SPDEs
Time: 15:00-16:00, Nov. 26, 2018, Monday
Venue: Room 1418, Sciences Building No. 1
Speaker: Ran Wang, Wuhan University
Abstract: Using the hyper-exponential recurrence criterion, a large deviation principle for the occupation measure is derived for a class of non-linear monotone stochastic partial differential equations, including stochastic p-Laplace equation, stochastic porous medium equation, stochastic fast-diffusion equation driven by Brownian motions. Furthermore, we establish the LDP results for the stochastic real Ginzburg-Landau equation driven by alpha-stable noises. Based on joint works with Jie Xiong and Lihu Xu.
Edited by: Guo Xinyu
Source: School of Mathematical Sciences
