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Pointwise A Posteriori Error Estimators for Elliptic Eigenvalue Problems

Published: November 10, 2025 | arXiv ID: 2511.06815v1

By: Zhenglei Li, Qigang Liang, Xuejun Xu

Potential Business Impact:

Improves computer math for better science.

Business Areas:
A/B Testing Data and Analytics

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.

Country of Origin
🇨🇳 China

Page Count
18 pages

Category
Mathematics:
Numerical Analysis (Math)