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arXiv 2005.13587math.PR
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一维和二维随机wave equations的中心极限定理

Central limit theorems for stochastic wave equations in dimensions one and two

David Nualart, Guangqu Zheng

摘要:

在固定$d\in\{1,2\}$的情况下,考虑了一个由高斯噪声驱动的$d$维随机波动方程,该噪声在时间上是白色的,在空间上是有色的,使得空间相关函数是可积的,并且满足Dalang条件.在这种情况下,我们提供了定量的中心极限定理的空间平均值的解决方案在一个欧几里德球,球的半径发散到无穷大。建立了泛函的中心极限定理。在我们的分析的一个基本组成部分是逐点$L^p$ -估计Malliavin衍生物的解决方案,这是独立的利益。本文是对近年来平均随机偏微分方程研究路线的又一补充。

英文摘要:

Fix $d\in\{1,2\}$, we consider a $d$-dimensional stochastic wave equation driven by a Gaussian noise, which is temporally white and colored in space such that the spatial correlation function is integrable and satisfies Dalang's condition. In this setting, we provide quantitative central limit theorems for the spatial average of the solution over a Euclidean ball, as the radius of the ball diverges to infinity. We also establish functional central limit theorems. A fundamental ingredient in our analysis is the pointwise $L^p$-estimate for the Malliavin derivative of the solution, which is of independent interest. This paper is another addendum to the recent research line of averaging stochastic partial differential 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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