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arXiv 0706.4018math.PRmath.OC
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正规鞅驱动系统的随机控制问题

Stochastic control problems for systems driven by normal martingales

Rainer Buckdahn, Jin Ma, Catherine Rainer

摘要:

本文研究了一类随机控制问题,其中跳跃大小的控制是必不可少的。该模型是从一般保险模型的最优再保险选择到排队论等各种应用问题的推广。这样的控制问题的主要新颖点是,通过改变系统的跳跃大小,基本上改变了驱动鞅的类型。这样的功能似乎没有被调查在任何现有的随机控制文献。我们将首先提供一个严格的理论基础的控制问题,建立一个存在性结果的多维结构方程的Wiener-Poisson空间,给定一个任意的有界跳跃大小的控制过程,并通过提供一个辅助的反例显示这种解决方案的非唯一性。基于这些理论结果,我们然后制定的控制问题,并证明了贝尔曼原理,并推导出相应的汉密尔顿-雅可比-贝尔曼(HJB)方程,在这种情况下,这是一个混合的二阶偏微分/差分方程。最后,我们证明了这样的HJB方程的黏性解的唯一性结果。

英文摘要:

In this paper we study a class of stochastic control problems in which the control of the jump size is essential. Such a model is a generalized version for various applied problems ranging from optimal reinsurance selections for general insurance models to queueing theory. The main novel point of such a control problem is that by changing the jump size of the system, one essentially changes the type of the driving martingale. Such a feature does not seem to have been investigated in any existing stochastic control literature. We shall first provide a rigorous theoretical foundation for the control problem by establishing an existence result for the multidimensional structure equation on a Wiener--Poisson space, given an arbitrary bounded jump size control process; and by providing an auxiliary counterexample showing the nonuniqueness for such solutions. Based on these theoretical results, we then formulate the control problem and prove the Bellman principle, and derive the corresponding Hamilton--Jacobi--Bellman (HJB) equation, which in this case is a mixed second-order partial differential/difference equation. Finally, we prove a uniqueness result for the viscosity solution of such an HJB equation.

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