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arXiv 0710.0908math.PR
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反射倒向随机微分方程组的不确定性起停问题

The Starting and Stopping Problem under Knightian Uncertainty and Related Systems of Reflected BSDEs

Said Hamadene, Jianfeng Zhang

摘要:

本文讨论了在不确定性下的起动和停止问题,即,粗略地说,当未来发展的概率不确切时。我们证明了一个工厂提交的启动和停止的决定的较低的价格是由一个系统的两个反射向后随机微分方程(简称BSDEs)的解决方案。我们解决后一个系统,我们给出的最优策略的表达式。此外,我们考虑了一个更一般的系统$m$($m\geq 2$)反映BSDES与互连的障碍。再次证明了该系统解的存在唯一性。

英文摘要:

This article deals with the starting and stopping problem under Knightian uncertainty, i.e., roughly speaking, when the probability under which the future evolves is not exactly known. We show that the lower price of a plant submitted to the decisions of starting and stopping is given by a solution of a system of two reflected backward stochastic differential equations (BSDEs for short). We solve this latter system and we give the expression of the optimal strategy. Further we consider a more general system of $m$ ($m\geq 2$) reflected BSDEs with interconnected obstacles. Once more we show existence and uniqueness of the solution of that system.

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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