Besov空间中双参数Volterra型重分数过程的弱逼近

Weak Convergence to the Two-Parameter Volterra Multifractional Process in Besov Spaces

中文关键词:  重分数布朗单  泊松过程  弱收敛

英文关键词:multifractional Brownian sheet  Poisson process  weak convergence

中文摘要:

      本文中,通过构造如下的随机过程序列$$B_{n}(s,t)=\int_{0}^{s}\int_{0}^{t}K_{\alpha(s)}(s,u)K_{\beta(t)}(t,v)\theta_{n}(u,v)\d u\d v,$$ 其中随机过程$\theta_{n}(u,v)$在$n\in \mathbb{N}$时依分布收敛至布朗单.我们主要证明当$n\rightarrow\infty$时,序列$B_n(s,t)$在各向异性Besov空间依分布收敛到双参数Volterra型重分数过程.

英文摘要:

      In this paper, we prove that two-parameter Volterra multifractional process can be approximated in law in the topology of the anisotropic Besov spaces by the family of processes $\{B_{n}(s,t)\}_{n\in \mathbb{N}}$ defined by $$B_{n}(s,t)=\int_{0}^{s}\int_{0}^{t}K_{\alpha(s)}(s,u)K_{\beta(t)}(t,v)\theta_{n}(u,v)\d u\d v,$$ where $\{\theta_{n}(u,v)\}_{n\in \mathbb{N}}$ is a family of processes, converging in law to a Brownian sheet as $n\rightarrow\infty$, based on the well known Donsker's theorem.