A Posteriori Error Estimates for Exponential Midpoint Integrator Finite Element Method for Parabolic Equations

ABSTRACT In this paper, a posteriori error estimates for the fully discrete approximation for linear and semilinear parabolic equations are established. The exponential midpoint method is used for the temporal discretization, and the spatial discretization takes the standard linear elements. By introducing a continuous piecewise quadratic reconstruction, the error of the temporal discretization is derived. The error of the spatial discretization is evaluated by the interpolation estimates. Using the energy technique, we derive residual‐based a posteriori lower and upper bounds for the fully discrete approximation. Our theoretical results are supported by extensive numerical experiments.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-12-20
DOI
https://doi.org/10.1002/mma.10641
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.37

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article

A Posteriori Error Estimates for Exponential Midpoint Integrator Finite Element Method for Parabolic Equations

Xianfa Hu, Wansheng Wang, Yonglei Fang
1 citations
Mathematical Methods in the Applied Sciences
Advanced Numerical Methods in Computational Mathematics
0.37
article

A Posteriori Error Estimates for Exponential Midpoint Integrator Finite Element Method for Parabolic Equations

Xianfa Hu, Wansheng Wang, Yonglei Fang
article en
1 citations

Abstract

ABSTRACT In this paper, a posteriori error estimates for the fully discrete approximation for linear and semilinear parabolic equations are established. The exponential midpoint method is used for the temporal discretization, and the spatial discretization takes the standard linear elements. By introducing a continuous piecewise quadratic reconstruction, the error of the temporal discretization is derived. The error of the spatial discretization is evaluated by the interpolation estimates. Using the energy technique, we derive residual‐based a posteriori lower and upper bounds for the fully discrete approximation. Our theoretical results are supported by extensive numerical experiments.

Mathematical Methods in the Applied SciencesVol. 48(5)
Shanghai Normal University (CN), Zaozhuang University (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 40%
Advanced Numerical Methods in Computational Mathematics
0.37
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A Posteriori Error Estimates for Exponential Midpoint Integrator Finite Element Method for Parabolic Equations — Xianfa Hu, Wansheng Wang, et al. · Mathematical Methods in the Applied Sciences (2024) | TGRS Research Map | TGRS