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arXiv 1707.08889math.PR
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Teugels鞅驱动的随机发展方程及其最优控制

Stochastic Evolution Equation Driven by Teugels Martingale and Its Optimal Control

Qingxin Meng, Qiuhong Shi, Maoning Tang

摘要:

研究了希尔伯特空间中一类由Teugel鞅和独立的多维布朗运动驱动的随机系数随机发展方程及其最优控制问题.这里Teugels鞅是一族与Lévy过程相关的成对强正交鞅(参见Nualart和Schoutens)。有三个主要成分。首先利用解的连续依赖性定理结合参数延拓方法证明了解的存在唯一性。第二是利用经典的凸变分方法和对偶技巧建立了我们的最优控制问题的随机最大值原理和验证定理。第三个是代表一个例子的Cauchy问题的控制随机偏微分方程Teugels鞅驱动,我们的理论结果可以解决。

英文摘要:

The paper is concerned with a class of stochastic evolution equations in Hilbert space with random coefficients driven by Teugel's martingales and an independent multi-dimensional Brownian motion and its optimal control problem. Here Teugels martingales are a family of pairwise strongly orthonormal martingales associated with Lévy processes (see Nualart and Schoutens). There are three major ingredients. The first is to prove the existence and uniqueness of the solutions by continuous dependence theorem of solutions combining with the parameter extension method. The second is to establish the stochastic maximum principle and verification theorem for our optimal control problem by the classic convex variation method and dual technique. The third is to represent an example of a Cauchy problem for a controlled stochastic partial differential equation driven by Teugels martingales which our theoretical results can solve.

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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