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The stochastic wave equation in high dimensions: Malliavin differentiability and absolute continuity

机译:高维随机波动方程:Malliavin可微性和绝对连续性

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We consider the class of non-linear stochastic partial differential equations studied in [Conus-Dalang, 2008]. Equivalent formulations using integration with respect to a cylindrical Brownian motion and also the Skorohod integral are established. It is proved that the random field solution to these equations at any fixed point $(t,x)in[0,T]imes mathbb{R}^d$ is differentiable in the Malliavin sense. For this, an extension of the integration theory in [Conus-Dalang, 2008] to Hilbert space valued integrands is developed, and commutation formulae of the Malliavin derivative and stochastic and pathwise integrals are proved. In the particular case of equations with additive noise, we establish the existence of density for the law of the solution at $(t,x)in]0,T]imesmathbb{R}^d$. The results apply to the stochastic wave equation in spatial dimension $dge 4$.
机译:我们考虑在[Conus-Dalang,2008]中研究的非线性随机偏微分方程的类。建立了使用关于圆柱布朗运动的积分以及Skorohod积分的等效公式。证明在任意定点$(t,x) in [0,T] times mathbb {R} ^ d $处这些方程的随机场解在Malliavin意义上是可微的。为此,开发了将[Conus-Dalang,2008]中的积分理论扩展到希尔伯特空间值被积物的方法,并证明了Malliavin导数与随机和路径积分的交换公式。在具有加性噪声的方程的特殊情况下,我们建立了在$(t,x) in] 0,T] times mathbb {R} ^ d $的解定律的密度存在性。该结果适用于空间维$ d ge 4 $中的随机波动方程。

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