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Classical and Variational Differentiability of BSDEs with Quadratic Growth

机译:具有二次增长的BSDE的经典和变异微分

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We consider Backward Stochastic Differential Equations (BSDEs) with generators that grow quadratically in the control variable. In a more abstract setting, we first allow both the terminal condition and the generator to depend on a vector parameter $x$. We give sufficient conditions for the solution pair of the BSDE to be differentiable in $x$. These results can be applied to systems of forward-backward SDE. If the terminal condition of the BSDE is given by a sufficiently smooth function of the terminal value of a forward SDE, then its solution pair is differentiable with respect to the initial vector of the forward equation. Finally we prove sufficient conditions for solutions of quadratic BSDEs to be differentiable in the variational sense (Malliavin differentiable).
机译:我们考虑带有控制变量二次方增长的生成器的后向随机微分方程(BSDE)。在更抽象的设置中,我们首先允许终止条件和生成器都依赖于矢量参数$ x $。我们给BSDE的解对以$ x $可区分的条件。这些结果可以应用于前向-后向SDE系统。如果BSDE的终止条件是由正向SDE的终止值的足够平滑的函数给出的,则其解对相对于正向方程的初始向量是可微的。最后,我们证明了二次BSDE的解在变分意义上可微分(Malliavin可微)的充分条件。

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