Superconvergence of least-squares methods for a coupled system of elliptic equations

被引:0
|
作者
Ku, JaEun [1 ]
机构
[1] Oklahoma State Univ, Dept Math, 401 Math Sci, Stillwater, OK 74078 USA
关键词
Coupled system of PDEs; Finite element methods; Error estimates; POINTWISE GRADIENT ERROR; A-POSTERIORI ESTIMATORS; MIXED FINITE-ELEMENTS; IRREGULAR MESHES; OPTIMALITY; L-2;
D O I
10.1016/j.camwa.2017.10.042
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We present a numerical method for solving a coupled system of elliptic partial differential equations (PDEs). Our method is based on the least-squares (LS) approach. We develop ellipticity estimates and error bounds for the method. The main idea of the error estimates is the establishment of supercloseness of the LS solutions, and solutions of the mixed finite element methods and Ritz projections. Using the supercloseness property, we obtain L-2-norm error estimates, and the error estimates for each quantity of interest show different convergence behaviors depending on the choice of the approximation spaces. Moreover, we present maximum norm error estimates and construct asymptotically exact a posteriori error estimators under mild conditions. Application to optimal control problems is briefly considered. (C) 2017 Elsevier Ltd. All rights reserved.
引用
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页码:2059 / 2070
页数:12
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