Pointwise a Posteriori Error Estimators for Elliptic Eigenvalue Problems
Abstract
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∞-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.
Fields of Study & Subjects
Advanced Numerical Methods in Computational Mathematics
Matrix Theory and Algorithms
Model Reduction and Neural Networks
Publication details
- Journal / source
- Journal of Intelligent Algorithms and Scientific Computing
- Publisher
- Global Science Press
- Volume
- 1
- Issue
- 1
- Pages
- 111–132
- Publication date
- 11 May 2026