Backward Stochastic Volterra integro-differential equations and applications in optimal control problems
报告人:王天啸
报告地点:腾讯会议
报告时间:2020年12月16日9:00-10:00
邀请人:魏庆萌
报告摘要:
In this article, a class of backward stochastic Volterra integro-differential equations (BSVIDEs) is introduced and studied. It is worthy mentioning that the proposed BSVIDEs can not be covered by the existing backward stochastic Volterra integral equations (BSVIEs), and they also have the nice flow property such that Ito's formula becomes quite applicable. It is found that BSVIDEs can provide a neat sufficient condition for the solvability of BSVIEs with generator depending on the diagonal value of the solutions. As applications, the optimal control problems in terms of maximum principles and linear quadratic control problems of optimal control for forward stochastic Volterra integro-differential equations (FSVIDE) are investigated. In contrast with the BSVIEs in current literature, some interesting phenomena and advantages of BSVIDEs are revealed.
会议网址:https://meeting.tencent.com/s/su1fBDgdbYQp
会议ID:225 304 392
主讲人简介:
王天啸,博士毕业于山东大学,现为四川大学副教授,研究领域为倒向随机Volterra 积分方程,时间不一致的最优控制问题等,相关工作发表在《SIAM J. Control Optim.》,《IEEE Trans. Automat. Control》,《Stochastic Process Appl.》《Insur. Math. Econ》,《Quant. Finance》等期刊。