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Pointwise error estimates for first-order div least-squares finite element methods and applications to superconvergence and a posteriori error estimators

机译:一阶div最小二乘有限元方法的逐点误差估计及其在超收敛和后验误差估计中的应用

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摘要

First-order div least-squares finite element methods for second-order elliptic partial differential equations are considered. While there has been significant progress in error estimates for the methods, to the best of our knowledge these estimates are based on the global norm of the error. In this paper, we provide highly localized pointwise error estimates for the primary variable u by establishing that the least-squares solutions are locally higher-order perturbations of the standard Galerkin solutions. As elementary consequences, we identify the superconvergent points. The set of superconvergent points for the primary function of the least-squares solution is the same as that of the standard Galerkin solution. Also, we present a class of average-type a posteriori error estimators for the method, and conditions are given under which they are asymptotically exact or equivalent estimators in the maximum-norm on each single element of the underlying mesh.
机译:考虑了二阶椭圆偏微分方程的一阶div最小二乘有限元方法。尽管这些方法的误差估计已经取得了显着进展,但据我们所知,这些估计是基于误差的全局准则。在本文中,我们通过建立最小二乘解是标准Galerkin解的局部高阶扰动,为主要变量u提供高度局部的点向误差估计。作为基本结果,我们确定了超收敛点。最小二乘解的主要函数的超收敛点集与标准Galerkin解的相同。此外,我们为该方法提供了一类平均类型的后验误差估计量,并给出了条件,这些条件下它们是底层网格的每个单个元素上最大范数中的渐近精确或等效估计量。

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