Pointwise A Posteriori Error Estimators for Elliptic Eigenvalue Problems
By: Zhenglei Li, Qigang Liang, Xuejun Xu
Potential Business Impact:
Improves computer math for better science.
In this work, we propose and analyze a pointwise a posteriori error estimator for simple eigenvalues of elliptic eigenvalue problems with adaptive finite element methods (AFEMs). We prove the reliability and efficiency of the residual-type a posteriori error estimator in the sense of $L^{\infty}$-norm, up to a logarithmic factor of the mesh size. For theoretical analysis, we also propose a theoretical and non-computable estimator, and then analyze the relationship between computable estimator and theoretical estimator. A key ingredient in the a posteriori error analysis is some new estimates for regularized derivative Green's functions. This methodology is also extended to the nonconforming finite element approximations. Some numerical experiments verify our theoretical results.
Similar Papers
Smoother-type a posteriori error estimates for finite element methods
Numerical Analysis
Makes computer math problems more accurate.
Enhanced gradient recovery-based a posteriori error estimator and adaptive finite element method for elliptic equations
Numerical Analysis
Makes computer simulations more accurate and faster.
Some p-robust a posteriori error estimates based on auxiliary spaces
Numerical Analysis
Makes computer math problems more accurate.