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arXiv 1104.2897math.NAcs.NA
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二阶椭圆问题的弱Galerkin有限元方法

A Weak Galerkin Finite Element Method for Second-Order Elliptic Problems

Division of Mathematical Sciences, National Science Foundation(国家科学基金会数学科学部);Department of Mathematics, University of Arkansas at Little Rock(阿肯色大学小石城分校数学系)

Junping Wang, Xiu Ye

AI总结:

提出一种基于弱定义梯度算子的不连续函数有限元方法,通过离散弱梯度逼近求解二阶椭圆问题,并建立最优阶误差估计和超收敛性。

摘要:

在本文中,作者将介绍一种有限元方法,该方法使用弱定义的梯度算子作用于具有异质性的不连续函数。弱梯度及其逼近的使用产生了一个称为“离散弱梯度”的新概念,预计将在偏微分方程的数值方法中发挥重要作用。本文旨在为在具有异质性的函数上操作微分算子提供一个通用框架。作为示范性示例,离散弱梯度算子被用作构建块来逼近模型二阶椭圆问题的解,其中经典梯度算子被离散弱梯度替代。由此产生的数值逼近称为弱Galerkin(WG)有限元解。可以看出,弱Galerkin方法允许在有限元过程中使用完全不连续的函数。对于二阶椭圆问题,建立了相应的弱Galerkin有限元解在离散$H^1$和$L^2$范数下的最优阶误差估计。还观察到了弱Galerkin逼近的超收敛性。

英文摘要:

In this paper, authors shall introduce a finite element method by using a weakly defined gradient operator over discontinuous functions with heterogeneous properties. The use of weak gradients and their approximations results in a new concept called {\em discrete weak gradients} which is expected to play important roles in numerical methods for partial differential equations. This article intends to provide a general framework for operating differential operators on functions with heterogeneous properties. As a demonstrative example, the discrete weak gradient operator is employed as a building block to approximate the solution of a model second order elliptic problem, in which the classical gradient operator is replaced by the discrete weak gradient. The resulting numerical approximation is called a weak Galerkin (WG) finite element solution. It can be seen that the weak Galerkin method allows the use of totally discontinuous functions in the finite element procedure. For the second order elliptic problem, an optimal order error estimate in both a discrete $H^1$ and $L^2$ norms are established for the corresponding weak Galerkin finite element solutions. A superconvergence is also observed for the weak Galerkin approximation.

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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