学 术 报 告

  报告题目: Large and moderate deviation principles for multi-scale distribution dependent stochastic differential equations driven by fractional Brownian motions

  报告人：申广君，安徽师范大学数学与统计学院教授，博士生导师

  报告时间：2024年5月23日(周四)10:00-11:00

  腾讯会议：会议号 443470623

  申广君 安徽师范大学教授、博士生导师，安徽省学术和技术带头人，安徽省杰出青年科学基金获得者，安徽师范大学学科带头人。主要从事随机过程与随机分析方向的研究，研究成果主要发表在Science China Mathematics，Journal of Differential Equations，Applied Mathematics &   Optimization等学术期刊。

  Abstract: In this talk, we introduce  large and moderate deviation principles for the multi-scale distribution dependent stochastic differential equations driven by fractional Brownian motion (with Hurst index H>1/2) and standard Brownian motion, simultaneously. This is done via the weak convergence approach and the fractional calculus.