Mimicking and Conditional Control with Hard Killing

Rene Carmona, Daniel Lacker
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Abstract

We first prove a mimicking theorem (also known as a Markovian projection theorem) for the marginal distributions of an Ito process conditioned to not have exited a given domain. We then apply this new result to the proof of a conjecture of P.L. Lions for the optimal control of conditioned processes.
硬杀伤的模仿和条件控制
我们首先证明了伊托过程边际分布的模仿定理(又称马尔可夫投影定理),该过程的条件是没有退出给定域。然后,我们将这一新结果用于证明 P.L. Lions 关于有条件过程最优控制的一个猜想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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