报告题目：Large deviation principle of occupation measures for SPDEs
报告人：王冉 武汉大学副教授
报告摘要：Using the hyper-exponential recurrence criterion, a large deviation principle for the occupation measure is derived for a class of 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 α-stable noises. Joint work with Professors Jie XIONG and Lihu XU.
报告人简介：王冉，武汉大学副教授，主要从事概率论与随机分析的研究。在Bernoulli，JDE，SPA等期刊上发表学术论文多篇，主持国家自然科学基金面上项目、青年项目。
报告邀请人：概率统计团队
报告时间：2020.12.24 10:00-12:00
报告地点：腾讯会议，ID: 601563192
