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Rate of Convergence of Wong-Zakai Approximations for Stochastic Partial Differential Equations

机译:随机偏微分方程的Wong-Zakai近似率的收敛速度

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摘要

In this paper we show that the rate of convergence of Wong-Zakai approximations for stochastic partial differential equations driven by Wiener processes is essentially the same as the rate of convergence of the driving processes W_n approximating the Wiener process, provided the area processes of Wn also converge to those of W with that rate. We consider non-degenerate and also degenerate stochastic PDEs with time dependent coefficients.
机译:在本文中,我们表明,Wiener工艺驱动的随机偏微分方程的Wong-Zakai近似的收敛速率基本上与近似维纳过程的驾驶过程的收敛速率相同,提供了Wn的区域过程通过该速率收敛到W的那些。我们认为具有时间依赖性系数的非退化和再加工随机PDE。

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