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Linear-Quadratic Stackelberg Game for Mean-Field Backward Stochastic Differential System and Application

机译:均值倒向随机微分系统的线性二次Stackelberg博弈及其应用

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摘要

This paper is concerned with a new kind of Stackelberg differential game of mean-field backward stochastic differential equations (MF-BSDEs). By means of four Riccati equations (REs), the follower first solves a backward mean-field stochastic LQ optimal control problem and gets the corresponding open-loop optimal control with the feedback representation. Then the leader turns to solve an optimization problem for a1 x 2mean-field forward-backward stochastic differential system. In virtue of some high-dimensional and complicated REs, we obtain the open-loop Stackelberg equilibrium, and it admits a state feedback representation. Finally, as applications, a class of stochastic pension fund optimization problems which can be viewed as a special case of our formulation is studied and the open-loop Stackelberg strategy is obtained.
机译:本文涉及一种新型的平均场向后随机微分方程(MF-BSDE)的Stackelberg微分博弈。跟随者首先通过四个Riccati方程(RE)解决后向平均场随机LQ最优控制问题,并通过反馈表示获得相应的开环最优控制。然后领导者转向解决a1 x 2平均场前后向随机微分系统的优化问题。借助一些高维和复杂的RE,我们获得了开环Stackelberg平衡,并且它接受状态反馈表示。最后,作为应用,研究了一类随机养老金优化问题,可以将其视为我们的公式的特例,并获得了开环Stackelberg策略。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|1798585.1-1798585.17|共17页
  • 作者

    Du Kai; Wu Zhen;

  • 作者单位

    Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China|Shandong Univ, Zhongtai Secur Inst Financial Study, Jinan 250100, Shandong, Peoples R China;

    Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China;

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