Malliavin derivative of Teugels martingales and mean-field type stochastic maximum principle
被引:0
作者:
Zong, Gaofeng
论文数: 0引用数: 0
h-index: 0
机构:
Shandong Univ Finance & Econ, Sch Stat & Math, Jinan, Peoples R China
Shandong Univ Finance & Econ, Sch Stat & Math, Jinan 250014, Peoples R ChinaShandong Univ Finance & Econ, Sch Stat & Math, Jinan, Peoples R China
Zong, Gaofeng
[1
,2
]
机构:
[1] Shandong Univ Finance & Econ, Sch Stat & Math, Jinan, Peoples R China
[2] Shandong Univ Finance & Econ, Sch Stat & Math, Jinan 250014, Peoples R China
Teugels martingales;
mean-field;
Malliavin derivative;
stochastic maximum principle;
DIFFERENTIAL-EQUATIONS;
SYSTEMS;
D O I:
10.1080/17442508.2023.2256506
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
We study the mean-field type stochastic control problem where the dynamics is governed by a general Levy process with moments of all orders. For this, we introduce the power jump processes and the related Teugels martingales and give the Malliavin derivative with respect to Teugels martingales. We derive necessary and sufficient conditions for optimality of our control problem in the form of a mean-field stochastic maximum principle.