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arXiv 1608.02557math.NAcs.NAmath-phmath.MP
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保持对称性的数值方案

Symmetry-preserving numerical schemes

Memorial University(纪念大学);SUNY New Paltz(纽约州立大学新帕尔茨分校)

Alexander Bihlo, Francis Valiquette

AI总结:

本文回顾了两种构建保持微分方程对称性的有限差分数值方案的方法,通过Schwarzian微分方程、Korteweg-de Vries方程和Burgers方程示例,介绍了两种技术的优缺点及新研究方向。

摘要:

在这些讲座中,我们回顾了两种构建保持微分方程对称性的有限差分数值方案的程序。第一种方法基于李的无穷小对称生成器,而第二种方法使用了新的等变移动框架理论。讨论了两种技术的优点,并用Schwarzian微分方程、Korteweg-de Vries方程和Burgers方程进行说明。展示了数值模拟,并介绍了获得更好不变数值方案的新技术。最后指出了新的研究方向和开放问题。

英文摘要:

In these lectures we review two procedures for constructing finite difference numerical schemes that preserve symmetries of differential equations. The first approach is based on Lie's infinitesimal symmetry generators, while the second method uses the novel theory of equivariant moving frames. The advantages of both techniques are discussed and illustrated with the Schwarzian differential equation, the Korteweg-de Vries equation and Burgers' equation. Numerical simulations are presented and innovative techniques for obtaining better invariant numerical schemes are introduced. New research directions and open problems are indicated at the end of these notes.

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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