报告人：徐礼虎教授 (澳门大学 )

报告题目：Large deviation of empirical measure for a family of SPDEs

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. The main results are applied to many concrete SPDEs such as stochastic $p$-Laplace equation, stochastic porous medium equation, stochastic fast-diffusion equation, and even stochastic real Ginzburg-Landau equation driven by $\alpha$-stable noises

报告人简介：徐礼虎教授，2001年本科毕业于山东大学; 2004年研究生毕业于北京大学， 2008年博士研究生毕业于帝国理工大学(Imperial College London, UK),在Ann. Statist.，Stoch. Proc. Appl.，Bernoulli，Electronic Journal of Probability，J. of Functional Analysis，J. Differential Equations等期刊上发表30余篇论文.

报告时间: 2017年8月4日(星期五)上午10:30-11:30

报告地点: 科技楼南楼702室