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Stochastic Volterra equations driven by fractional Brownian motion

机译:分数布朗运动驱动的随机Volterra方程

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This paper is devoted to study a class of stochastic Volterra equations driven by fractional Brownian motion. We first prove the Driver type integration by parts formula and the shift Harnack type inequalities. As a direct application, we provide an alternative method to describe the regularities of the law of the solution. Secondly, by using the Malliavin calculus, the Bismut type derivative formula is established, which is then applied to the study of the gradient estimate and the strong Feller property. Finally, we establish the Talagrand type transportation cost inequalities for the law of the solution on the path space with respect to both the uniform metric and the L~2-metric.
机译:本文致力于研究分数布朗运动驱动的一类随机Volterra方程。我们首先通过零件公式和shift Harnack类型不等式证明Driver类型积分。作为直接应用,我们提供了一种替代方法来描述解法则的规律性。其次,利用Malliavin演算建立了Bismut型导数公式,将其用于梯度估计和强Feller性质的研究。最后,针对统一度量和L〜2度量,针对路径空间上的解定律建立了Talagrand型运输成本不等式。

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