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arXiv 1708.01966math.NAcs.NA
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高维有限元方法用于多尺度Maxwell波方程

High dimensional finite elements for multiscale Maxwell wave equations

Nanyang Technological University(南洋理工大学)

Van Tiep Chu, Viet Ha Hoang

AI总结:

本文提出了一种高效求解多尺度Maxwell波方程的高维稀疏张量有限元方法,通过减少计算复杂度实现最优精度。

摘要:

我们开发了一种本质上最优的数值方法,用于求解定义在$D\subset{\mathbb R}^d$域内的多尺度Maxwell波方程。这些问题依赖于$n+1$个尺度:一个宏观尺度和$n$个微观尺度。通过求解宏观多尺度均质问题,我们获得所需的宏观和微观信息。该问题在${\mathbb R}^d$中依赖于$n+1$个变量,每个变量对应原始多尺度方程的一个尺度,因此在高维张量域中提出。直接的全张量乘积有限元(FE)方法成本极高。我们开发了稀疏张量乘积FE,以解决该多尺度均质问题,其自由度数本质上等于仅解决宏观问题所需,以获得所需的精度水平。数值修正器由FE解构造。对于两尺度问题,我们推导了数值修正器的收敛率,以微观尺度和FE网格宽度为变量。数值示例验证了我们的分析。

英文摘要:

We develop an essentially optimal numerical method for solving multiscale Maxwell wave equations in a domain $D\subset{\mathbb R}^d$. The problems depend on $n+1$ scales: one macroscopic scale and $n$ microscopic scales. Solving the macroscopic multiscale homogenized problem, we obtain the desired macroscopic and microscopic information. This problem depends on $n+1$ variables in ${\mathbb R}^d$, one for each scale that the original multiscale equation depends on, and is thus posed in a high dimensional tensorized domain. The straightforward full tensor product finite element (FE) method is exceedingly expensive. We develop the sparse tensor product FEs that solve this multiscale homogenized problem with essentially optimal number of degrees of freedom, that is essentially equal to that required for solving a macroscopic problem in a domain in ${\mathbb R}^d$ only, for obtaining a required level of accuracy. Numerical correctors are constructed from the FE solution. For two scale problems, we derive a rate of convergence for the numerical corrector in terms of the microscopic scale and the FE mesh width. Numerical examples confirm our analysis.

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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