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A quasi-sure approach to the control of non-Markovian stochastic differential equations

机译:非马尔可夫随机微分方程控制的准保证方法

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We study stochastic differential equations (SDEs) whose drift and diffusion coefficients are path-dependent and controlled. We construct a value process on the canonical path space, considered simultaneously under a family of singular measures, rather than the usual family of processes indexed by the controls. This value process is characterized by a second order backward SDE, which can be seen as a non-Markovian analogue of the Hamilton-Jacobi Bellman partial differential equation. Moreover, our value process yields a generalization of the $G$-expectation to the context of SDEs.
机译:我们研究的随机微分方程(SDE)的漂移和扩散系数与路径有关且受控制。我们在规范路径空间上构造了一个价值过程,该价值过程是在一系列单一量度下同时考虑的,而不是在控件所索引的常规过程中。该值过程的特征在于二阶后向SDE,可以将其视为Hamilton-Jacobi Bellman偏微分方程的非马尔可夫类比。此外,我们的价值过程得出了对SDE的$ G $期望的概括。

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