arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.10517math.NAcs.NA
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反应扩散方程的$hp$-FEM II. 角域中多尺度问题的鲁棒指数收敛

$hp$-FEM for reaction-diffusion equations II. Robust exponential convergence for multiple length scales in corner domains

Lehel Banjai, Jens M. Melenk, Christoph Schwab

AI总结:

本文在几何边界层网格上分析了角域中线性二阶奇扰动反应扩散方程的$hp$-FEM离散化,证明了在网格能分辨最小长度尺度时可实现鲁棒的指数收敛,并通过数值实验予以证实。

摘要:

在边界$\partialΩ$由有限条可解析参数化的Jordan曲线组成的Lipschitz有界多边形域$Ω\subset \mathbb{R}^2$中,我们在所谓的几何边界层网格上分析了线性二阶奇扰动反应扩散方程的$hp$-FEM离散化。我们在数据满足适当解析性假设下证明,只要几何边界层网格能分辨问题中存在的最小长度尺度,这些$hp$-FEM在问题的自然“能量”范数下可实现指数收敛。数值实验证实了所提出$hp$-FEM的鲁棒指数收敛。

英文摘要:

In bounded, polygonal domains $Ω\subset \mathbb{R}^2$ with Lipschitz boundary $\partialΩ$ consisting of a finite number of Jordan curves admitting analytic parametrizations, we analyze $hp$-FEM discretizations of linear, second order, singularly perturbed reaction diffusion equations on so-called geometric boundary layer meshes. We prove, under suitable analyticity assumptions on the data, that these $hp$-FEM afford exponential convergence in the natural "energy" norm of the problem, as long as the geometric boundary layer mesh can resolve the smallest length scale present in the problem. Numerical experiments confirm the robust exponential convergence of the proposed $hp$-FEM.

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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