Relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problem under volatility uncertainty

被引:1
|
作者
Li, Xiaojuan [1 ,2 ]
机构
[1] Shandong Univ, Zhongtai Secur Inst Financial Studies, Jinan, Peoples R China
[2] Shandong Univ, Zhongtai Secur Inst Financial Studies, Jinan 250100, Peoples R China
来源
OPTIMAL CONTROL APPLICATIONS & METHODS | 2023年 / 44卷 / 05期
基金
中国国家自然科学基金;
关键词
G-expectation; backward stochastic differential equation; dynamic programming principle; maximum principle; stochastic recursive optimal control; G-BROWNIAN MOTION; DIFFERENTIAL-EQUATIONS; REPRESENTATION THEOREM; AMBIGUOUS VOLATILITY; G-EXPECTATION; DRIVEN; CALCULUS; SYSTEMS;
D O I
10.1002/oca.2988
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we study the relationship between maximum principle (MP) and dynamic programming principle (DPP) for stochastic recursive optimal control problem driven by G-Brownian motion. Under the smooth assumption for the value function, we obtain the connection between MP and DPP under a reference probability P-t,x(*). Within the framework of viscosity solution, we establish the relation between the first-order super-jet, sub-jet of the value function and the solution to the adjoint equation respectively.
引用
收藏
页码:2457 / 2475
页数:19
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