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arXiv 1302.0480math.PR
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惩罚倒向随机微分方程的随机控制表示

Stochastic Control Representations for Penalized Backward Stochastic Differential Equations

Gechun Liang

摘要:

本文证明了惩罚倒向随机微分方程(Boundary Equation,Boundary Equation)同时具有最优停止表示和最优控制表示,它常被用来逼近和求解相应的反射Boundary。最优停止表示的新特征是允许玩家在外生泊松到达时间停止。然后,惩罚的Bclad的收敛速度从最优停止表示得出。然后应用于两类方程,即多维反射Bu和带对冲约束的反射Bu,并给出了相应惩罚方程的随机控制表示.

英文摘要:

This paper shows that penalized backward stochastic differential equation (BSDE), which is often used to approximate and solve the corresponding reflected BSDE, admits both optimal stopping representation and optimal control representation. The new feature of the optimal stopping representation is that the player is allowed to stop at exogenous Poisson arrival times. The convergence rate of the penalized BSDE then follows from the optimal stopping representation. The paper then applies to two classes of equations, namely multidimensional reflected BSDE and reflected BSDE with a constraint on the hedging part, and gives stochastic control representations for their corresponding penalized equations.

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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