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arXiv 1809.01883math.PR
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平均场型马尔可夫链的随机最大值原理

A Stochastic Maximum Principle for Markov chains of mean-field type

Salah Eddine Choutri, Hamidou Tembine

摘要:

我们推导出充分和必要的随机最大值原理(SMP)的平均场型的成本泛函的控制下的动力学驱动下的一类马尔可夫链的平均场型,这是纯跳跃过程的一个适定的鞅问题的解决方案。作为示例,我们将结果应用于控制问题的一般示例以及一些应用。

英文摘要:

We derive sufficient and necessary optimality conditions in terms of a stochastic maximum principle (SMP) for controls associated with cost functionals of mean-field type, under dynamics driven by a class of Markov chains of mean-field type which are pure jump processes obtained as solutions of a well-posed martingale problem. As an illustration, we apply the result to generic examples of control problems as well as some applications.

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