Error analysis of virtual element method for the Poisson–Boltzmann equation

Abstract The Poisson–Boltzmann equation, which incorporates the source of the Dirac distribution, has been widely applied in predicting the electrostatic potential of biomolecular systems in solution. In this paper we discuss and analyse the virtual element method for the Poisson–Boltzmann equation on general polyhedral meshes. Nearly optimal error estimates, approaching the best possible accuracy, are achieved for the virtual element approximation in both the L 2 -norm and H 1 -norm, even when the solution of the entire domain has low regularity. The efficiency of the virtual element method and the validity of the proposed theoretical prediction are confirmed through numerical experiments conducted on various polyhedral meshes.

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Publication Details

Journal
Journal of Numerical Mathematics
Published
2025-02-24
DOI
https://doi.org/10.1515/jnma-2023-0085
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Error analysis of virtual element method for the Poisson–Boltzmann equation

Ying Yang, Linghan Huang, Shi Shu
Journal of Numerical Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Error analysis of virtual element method for the Poisson–Boltzmann equation

Ying Yang, Linghan Huang, Shi Shu
article en

Abstract

Abstract The Poisson–Boltzmann equation, which incorporates the source of the Dirac distribution, has been widely applied in predicting the electrostatic potential of biomolecular systems in solution. In this paper we discuss and analyse the virtual element method for the Poisson–Boltzmann equation on general polyhedral meshes. Nearly optimal error estimates, approaching the best possible accuracy, are achieved for the virtual element approximation in both the L 2 -norm and H 1 -norm, even when the solution of the entire domain has low regularity. The efficiency of the virtual element method and the validity of the proposed theoretical prediction are confirmed through numerical experiments conducted on various polyhedral meshes.

Journal of Numerical MathematicsVol. 33(2)
Xiangtan University (CN), Guilin University of Electronic Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 96%
Advanced Numerical Methods in Computational Mathematics
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Error analysis of virtual element method for the Poisson–Boltzmann equation — Ying Yang, Linghan Huang, et al. · Journal of Numerical Mathematics (2025) | TGRS Research Map | TGRS