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arXiv 2212.01720math.NAcs.NA
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无外部稳定化的虚拟元方法

Virtual Element Methods Without Extrinsic Stabilization

Chunyu Chen, Xuehai Huang, Huayi Wei

AI总结:

本文提出任意阶无需外部稳定化的虚拟元方法,通过构造局部H(div)协调宏观有限元空间保证梯度投影可计算且具有一致下界,并给出最优误差估计与数值验证。

摘要:

针对二阶椭圆问题,本文发展了任意多项式阶数且无需外部稳定化的虚拟元方法(VEMs),包括任意维度下的非协调VEM和协调VEM。关键在于构造局部H(div)协调的宏观有限元空间,使得虚拟元函数梯度的相关L²投影可计算,并且该L²投影算子对虚拟元函数空间的梯度在L²范数下具有一致下界。为这些VEMs推导了最优误差估计。提供了数值实验以测试无外部稳定化的VEMs。

英文摘要:

Virtual element methods (VEMs) without extrinsic stabilization in arbitrary degree of polynomial are developed for second order elliptic problems, including a nonconforming VEM and a conforming VEM in arbitrary dimension. The key is to construct local $H(\textrm{div})$-conforming macro finite element spaces such that the associated $L^2$ projection of the gradient of virtual element functions is computable, and the $L^2$ projector has a uniform lower bound on the gradient of virtual element function spaces in $L^2$ norm. Optimal error estimates are derived for these VEMs. Numerical experiments are provided to test the VEMs without extrinsic stabilization.

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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