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arXiv 1609.09335math.PR
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斜扩散问题的Euler型弱逼近

On the weak approximation of a skew diffusion by an Euler-type scheme

Noufel Frikha

摘要:

本文研究了具有有界可测漂移和Hölder扩散系数的斜扩散方程的弱逼近误差,采用Euler型格式,迭代模拟具有常数漂移的斜布朗运动.我们首先建立双边高斯边界的密度近似方案。然后,得到了斜扩散与其欧拉近似的密度差的一个界。值得注意的是,弱近似误差被证明是$h^{η/2}$阶,其中$h$是该方案的时间步长,$η$是扩散系数的Hölder指数。

英文摘要:

We study the weak approximation error of a skew diffusion with bounded measurable drift and Hölder diffusion coefficient by an Euler-type scheme, which consists of iteratively simulating skew Brownian motions with constant drift. We first establish two sided Gaussian bounds for the density of this approximation scheme. Then, a bound for the difference between the densities of the skew diffusion and its Euler approximation is obtained. Notably, the weak approximation error is shown to be of order $h^{η/2}$, where $h$ is the time step of the scheme, $η$ being the Hölder exponent of the diffusion coefficient.

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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