arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2108.06987math.NAcs.NA
收藏

漂移–振荡随机微分方程的一致精度格式

Uniformly accurate schemes for drift--oscillatory stochastic differential equations

Ibrahim Almuslimani, Philippe Chartier, Mohammed Lemou, Florian Méhats

AI总结:

本文针对慢、快振荡 regime 下的漂移–振荡随机微分方程,采用 micro-macro 分解构造数值格式,保持 Euler–Maruyama 的一致弱一阶和强半阶,并指出其可推广至更高阶。

摘要:

在本工作中,我们将 micro-macro(微–宏)方法调整应用于随机微分方程,以数值求解振荡演化方程。我们所考虑的模型涉及范围广泛的参数区间,其中振荡可能是缓慢的,也可能是快速的。我们表明,通过一种专门设计的变换(即 micro-macro 分解),可以保留 Euler–Maruyama 方法通常具有的收敛阶,也就是说,一致弱一阶和一致强二分之一阶。我们还表明,一种简单的积分格式也可以达到相同的一致精度阶。micro-macro 格式的优势在于,与积分格式不同,它可以被推广到更高阶方法。

英文摘要:

In this work, we adapt the {\em micro-macro} methodology to stochastic differential equations for the purpose of numerically solving oscillatory evolution equations. The models we consider are addressed in a wide spectrum of regimes where oscillations may be slow or fast. We show that through an ad-hoc transformation (the micro-macro decomposition), it is possible to retain the usual orders of convergence of Euler-Maruyama method, that is to say, uniform weak order one and uniform strong order one half. We also show that the same orders of uniform accuracy can be achieved by a simple integral scheme. The advantage of the micro-macro scheme is that, in contrast to the integral scheme, it can be generalized to higher order methods.

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。

↑