笛卡尔网格上大波数时谐Maxwell方程棱边元方法的多项式保持恢复
Polynomial preserving recoveries of edge element method on Cartesian grids for the time-harmonic Maxwell equations with large wave number
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中文总结 AI 辅助
针对大波数三维时谐Maxwell方程,提出笛卡尔网格上棱边元解及其旋度的多项式保持恢复算子,证明二阶超收敛,并引入连续内部罚项将相位误差提高两个$\kappa h$阶次以缓解污染效应。
中文摘要 AI 辅助
本文研究在笛卡尔网格上,针对大波数三维时谐Maxwell方程的最低阶第一类Nédélec棱边元方法(EEM)。分别针对棱边元解的旋度和解本身,提出了新的多项式保持恢复(PPR)算子。在$\kappa^3 h^2 C_{\mathrm{sol}}$足够小的条件下,证明了恢复的旋度和恢复的解均具有二阶超收敛估计,其中$\kappa$为波数,$h$为网格尺寸,$C_{\mathrm{sol}}$为与Maxwell解算子相关的稳定性常数。特别地,分析表明所提出的PPR过程无法缓解EEM固有的著名污染效应。为减少污染误差,我们进一步提出了一种新的连续内部罚棱边元方法(CIP-EEM),该方法引入了额外的法向跳跃罚项。结果表明,通过适当选择罚参数,新的CIP-EEM可将相位误差在$\kappa h$上提高两个阶次。数值实验验证了理论超收敛结果,并证明CIP-EEM能有效减少高频区域的污染误差。
英文摘要
This paper considers the lowest-order first type Nédélec edge element method (EEM) on Cartesian grids for the three-dimensional time-harmonic Maxwell equations with a large wave number. New polynomial preserving recovery (PPR) operators are proposed for the curl of the edge element solution and for the solution itself, respectively. Under the condition that $κ^3 h^2 C_{\mathrm{sol}}$ is sufficiently small, second-order superconvergence estimates are proved for both the recovered curl and the recovered solution, where $κ$ is the wave number, $h$ is the mesh size, and $C_{\mathrm{sol}}$ is a stability constant associated with the Maxwell solution operator. In particular, the analysis shows that the proposed PPR procedures cannot mitigate the well-known pollution effect inherent to the EEM. To reduce the pollution error, we further propose a new continuous interior penalty edge element method (CIP-EEM) that incorporates an additional normal-jump penalty term. It is shown that by appropriately choosing the penalty parameters, the new CIP-EEM can improve the phase error by two orders in $κh$. Numerical experiments are presented to confirm the theoretical superconvergence results and to demonstrate that the CIP-EEM can effectively reduce the pollution error in the high-frequency regime.
发表机构
- School of Mathematics, Nanjing University(南京大学数学系)
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