arXivDaily arXiv每日学术速递 周一至周五更新
arXiv math/0401206math.DSmath.CA
收藏

计算奇异扰动方法的快、慢动力学

Fast and Slow Dynamics for the Computational Singular Perturbation Method

Antonios Zagaris, Hans G. Kaper, Tasso J. Kaper

摘要:

Lam和Goussis的计算奇异扰动(CSP)方法是一种用于多个时间尺度的常微分方程系统降维的迭代法。在[J. Nonlin.科学,出现],作者表明,CSP算法的每一次迭代都将慢流形的近似提高了一阶。本文证明了CSP方法同时将解松弛到慢流形的快纤维的切空间逼近。同样,每次迭代增加一个精度阶。在一些研究中,CSP算法的输出是通过将初始数据线性投影到沿着这些近似切空间的慢流形上来进行后处理的。反过来,这些预测也变得越来越准确。

英文摘要:

The Computational Singular Perturbation (CSP) method of Lam and Goussis is an iterative method to reduce the dimensionality of systems of ordinary differential equations with multiple time scales. In [J. Nonlin. Sci., to appear], the authors showed that each iteration of the CSP algorithm improves the approximation of the slow manifold by one order. In this paper, it is shown that the CSP method simultaneously approximates the tangent spaces to the fast fibers along which solutions relax to the slow manifold. Again, each iteration adds one order of accuracy. In some studies, the output of the CSP algorithm is postprocessed by linearly projecting initial data onto the slow manifold along these approximate tangent spaces. These projections, in turn, also become successively more accurate.

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。

↑