题目：Weak convergence analysis for stochastic evolution PDEs

报告人：Professor Stig Larsson, Chalmers University of Technology and University of Gothenburg, Sweden

报告时间：2017年11月14日 下午3:00-4:00

报告地点：beat365唯一官网入口中心校区知新楼B1032

摘要：I will review the literature on the weak convergence analysis of numerical methods for stochastic evolution problems driven by noise.   Then I will present a new method of proof,which is based on refined Sobolev-Malliavin spaces from the Malliavin calculus.It does not rely on the use of the Kolmogorov equation or the Ito formula and is therefore applicable also to non-Markovian equations,where these are not available.We use it to prove weak convergence of fully discrete approximations of the solution of the semilinear stochastic parabolic evolution equation with additive noise as well as a semilinear stochastic Volterraintegro-differential equation.

beat365唯一官网入口

beat365唯一官网入口金融研究院