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An application of the KMT construction to the pathwise weak error in the Euler approximation of one-dimensional diffusion process with linear diffusion coefficient

机译:KMT构造在一维线性扩散系数一维扩散过程的欧拉近似中的沿向弱误差的应用

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摘要

It is well known that the strong error approximation, in the space of continuous paths equipped with the supremum norm, between a diffusion process, with smooth coefficients, and its Euler approximation with step 1/n is O(n −1/2) and that the weak error estimation between the marginal laws, at the terminal time T , is O(n −1). An analysis of the weak trajectorial error has been developed by Alfonsi, Jourdain and Kohatsu-Higa [1], through the study of the p−Wasserstein distance between the two processes. For a one-dimensional diffusion, they obtained an intermediate rate for the pathwise Wasserstein distance of order n −2/3+ε. Using the Komlós , Major and Tusnády construction, we improve this bound, assuming that the diffusion coefficient is linear, and we obtain a rate of order log n/n. MSC 2010. 65C30, 60H35.
机译:众所周知,在具有最高范数的连续路径的空间中,具有平滑系数的扩散过程与步骤1 / n的欧拉近似之间的强误差近似为O(n -1/2)和在终端时间T,边际律之间的弱误差估计为O(n -1)。通过研究两个过程之间的p-Wasserstein距离,Alfonsi,Jourdain和Kohatsu-Higa [1]对弱弹道误差进行了分析。对于一维扩散,他们获得了沿路径的Wasserstein距离n / 2/3 +ε的中间速率。使用Komlós,Major和Tusnády构造,假设扩散系数是线性的,我们改善了该边界,并获得了对数n / n的比率。 MSC 2010。65C30,60H35。

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