论文标题

抛物线模型的空间平均值的汇合,由彩色噪声驱动

Convergence of densities of spatial averages of the parabolic Anderson model driven by colored noise

论文作者

Kuzgun, Sefika, Nualart, David

论文摘要

在本文中,我们提出了统一规范中的收敛速率,该溶液的空间平均值是由高斯乘法噪声驱动的D维抛物线的Anderson模型,该模型的时间为白色,并具有由Riesz kernel给出的空间协方差。该证明是基于Malliavin微积分技术和Stein的正常近似方法的组合。

In this paper, we present a rate of convergence in the uniform norm for the densities of spatial averages of the solution to the d-dimensional parabolic Anderson model driven by a Gaussian multiplicative noise, which is white in time and has a spatial covariance given by the Riesz kernel. The proof is based on the combination of Malliavin calculus techniques and the Stein's method for normal approximations.

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