Mean-field SDE driven by sub-diffusions and stochastic optimal control

发布者:刘茜茜发布时间:2026-09-09浏览次数:45

江苏省应用数学(中国矿业大学)中心系列学术报告

报告题目:Mean-field SDE driven by sub-diffusions and stochastic optimal control
人:陈振庆(美国华盛顿大学

报告时间:20260911日 1015-1130

报告地点:数学学院A321

报告摘要:
This talk presents recent results on the existence and uniqueness of solutions to mean-field stochastic differential equations (MFT-SDEs) and mean-field backward stochastic differential equations (MFBSDEs) with random coefficients driven by anomalous sub-diffusions. We also study stochastic control problems for MFT-SDEs using the convex variational approach and establish the corresponding stochastic maximum principle and optimality conditions.
Based on joint work with Shuaiqi Zhang.

个人简介:陈振庆,美国华盛顿大学数学系教授。伊藤奖获得者。

在包括国际顶尖数学和概率期刊Journal of the European Mathematical SocietyAnnals of ProbabilityProbability Theory and Related Fields等学术期上发表论文200余篇,著有两本专著。被列为全球Top 2%顶尖科学家。国际数理统计学会会士和美国数学学会会士。 从2016年起任国际数学综合性期刊Potential Analysis的主编, 是《美国数学学会通讯》(Proceedings of the American Mathematical Society)应用数学和概率统计方向的协调编辑(Coordinating Editor) 及多个国际数学和概率期刊的编委。