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arXiv 1808.04734math.PRmath.OC
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反射扩散过程的最优概率与控制

Optimal probabilities and controls for reflecting diffusion processes

Zhongmin Qian, Xingcheng Xu

AI总结:

本文利用转移概率密度表示与 HJB 方程,研究反射扩散过程中最大化或最小化转移概率的有界漂移向量场,并通过一维模拟揭示 bang-bang 型最优过程的相变,同时求解相关最优随机控制问题。

摘要:

本文针对一类反射扩散过程,求解了确定向量场的最优问题,这些向量场可最大化(或最小化)从一个位置到另一位置的转移概率。该方法基于转移概率密度函数的一种表示。在漂移向量场受常数约束的条件下,借助 HJB 方程研究了最优转移概率。在一维情形中,考察了最优反射扩散过程和 bang-bang 扩散过程。我们通过模拟证明,即使在这一特殊情形下,最优扩散过程也表现出有趣的相变特征。我们还针对一类涉及带反射扩散过程的随机控制问题,求解了一个最优随机控制问题。

英文摘要:

A solution to the optimal problem for determining vector fields which maximize (resp. minimize) the transition probabilities from one location to another for a class of reflecting diffusion processes is obtained in the present paper. The approach is based on a representation for the transition probability density functions. The optimal transition probabilities under the constraint that the drift vector field is bounded by a constant are studied in terms of the HJB equation. In dimension one, the optimal reflecting diffusion processes and the bang-bang diffusion processes are considered. We demonstrate by simulations that, even in this special case, the optimal diffusion processes exhibit an interesting feature of phase transitions. We also solve an optimal stochastic control problem for a class of stochastic control problems involving diffusion processes with reflection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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