arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1606.08533math.NAcs.NA
收藏

一维椭圆问题的弱有限元方法

A weak finite element method for elliptic problems in one space dimension

Northeastern University(东北大学)

Tie Zhang, Yanli Chen

AI总结:

本文提出了一种用于一维椭圆问题的弱有限元方法,证明其比多维问题中的已知弱Galerkin方法更准确,且可局部求解。推导了离散H¹、L₂和L∞范数的最优误差估计,并给出了超收敛结果及数值验证。

摘要:

我们提出了一种用于一维椭圆问题的弱有限元方法。我们的分析表明,该方法相比多维问题中已知的弱Galerkin方法具有更多优势,例如具有更高的精度,且推导出的离散方程可以局部、逐元素求解。我们分别推导了离散H¹范数、L₂范数和L∞范数的最优误差估计。此外,还给出了某些超收敛结果。最后,提供了数值例子以说明我们的理论分析。

英文摘要:

We present a weak finite element method for elliptic problems in one space dimension. Our analysis shows that this method has more advantages than the known weak Galerkin method proposed for multi-dimensional problems, for example, it has higher accuracy and the derived discrete equations can be solved locally, element by element. We derive the optimal error estimates in the discrete $H^1$-norm, the $L_2$-norm and $L_\infty$-norm, respectively. Moreover, some superconvergence results are also given. Finally, numerical examples are provided to illustrate our theoretical 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。

↑