Relationship between stochastic maximum principle and dynamic programming principle under convex expectation

Xiaojuan Li, Mingshang Hu
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Abstract

In this paper, we study the relationship between maximum principle (MP) and dynamic programming principle (DPP) for forward-backward control system under consistent convex expectation dominated by G-expectation. Under the smooth assumptions for the value function, we get the relationship between MP and DPP under a reference probability by establishing a useful estimate. If the value function is not smooth, then we obtain the first-order sub-jet and super-jet of the value function at any t. However, the processing method in this case is much more difficult than that when t equals 0.
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凸期望下随机最大原则与动态程序设计原则的关系
本文研究了由 G 期望支配的一致凸期望下前后向控制系统的最大原理(MP)与动态编程原理(DPP)之间的关系。在值函数平滑的假设条件下,我们通过建立一个有用的估计值,得到了在参考概率下 MP 与 DPP 的关系。如果值函数不平滑,则我们可以得到任意 t 下值函数的一阶子喷流和超喷流,但这种情况下的处理方法要比 t 等于 0 时的处理方法困难得多。
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