统计学主题系列报告

Quantitative homogenization for non-symmetric Levy-type processes in deterministic periodic environment

报告人:王健

报告地点:腾讯会议ID:687 326 240

报告时间:2022年11月11日星期五15:00-16:30


报告摘要:

We consider a Lévy-type jump process with time-dependent periodic coefficients. Assume
that the process has a unique system of invariant probability measures. We obtain quantitative results, with explicit polynomial rates, for homogenization of the process. The result is new even in the time-independent framework, and in particular in this case it can be viewed as a quantitative version of our recent result for periodic homogenization of non-symmetric Lévy-type processes.


主讲人简介:


王健,福建师范大学数学与统计学院教授、博士生导师。 2008年获得理学博士学位,师从陈木法院士。2009获得德国洪堡基金,2014年获得日本学术振兴基金,2015年获得国家优秀青年科学基金,2022年获得国家杰出青年科学基金。 主要从事随机过程与随机分析方向的研究,特别是Lévy型过程的随机分析。