报告题目：

Large deviation principle of occupation measures for SPDEs

报 告 人：

王冉 副教授（武大37000cm威尼斯）

报告时间：

2018年04月19日 12:55--13:30

报告地点：

理学院东北楼一楼报告厅（110）

报告摘要：

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 space-time white noise, or driven by alpha-stable noise.