arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0901.2474math.PR
收藏

一类布朗控制问题的最优停止和自由边界特征

Optimal stopping and free boundary characterizations for some Brownian control problems

Amarjit Budhiraja, Kevin Ross

摘要:

研究了二维带状态约束的奇异随机控制问题。我们证明了值函数是$C^1$,它的方向导数是某些最优停止问题的值函数。在最优停止问题的指导下,我们引入了相应的无作用区域和自由边界,并证明了在适当的条件下,最优控制过程是在无作用区域中的布朗运动,其反射在自由边界上.这证明了Martins,Shreve和Soner的一个猜想[SIAM J. Control Optim. 34(1996)2133--2171]关于这类奇异控制问题的最优控制的形式。我们分析中的一个重要问题是,运行成本是Lipschitz,而不是$C^1$。这种光滑性的缺乏是建立自由边界和值函数的规则性的关键障碍之一。我们表明,自由边界是Lipschitz和价值函数是$C^2$在内部的无作用区域。然后,我们使用应用于值函数的适当$C^2$逼近的验证参数来建立推测控制的最优性。

英文摘要:

A singular stochastic control problem with state constraints in two-dimensions is studied. We show that the value function is $C^1$ and its directional derivatives are the value functions of certain optimal stopping problems. Guided by the optimal stopping problem, we then introduce the associated no-action region and the free boundary and show that, under appropriate conditions, an optimally controlled process is a Brownian motion in the no-action region with reflection at the free boundary. This proves a conjecture of Martins, Shreve and Soner [SIAM J. Control Optim. 34 (1996) 2133--2171] on the form of an optimal control for this class of singular control problems. An important issue in our analysis is that the running cost is Lipschitz but not $C^1$. This lack of smoothness is one of the key obstacles in establishing regularity of the free boundary and of the value function. We show that the free boundary is Lipschitz and that the value function is $C^2$ in the interior of the no-action region. We then use a verification argument applied to a suitable $C^2$ approximation of the value function to establish optimality of the conjectured control.

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。

↑