Adaptive FEM and CIPFEM for a nonlinear Helmholtz equation with high wave number

Abstract A nonlinear Helmholtz (NLH) equation with high frequencies and corner singularities is discretized by the linear finite element method (FEM) and the continuous interior penalty finite element method (CIPFEM). After deriving some wave-number-explicit stability estimates and the singularity decomposition for the NLH problem, a priori stability and error estimates are established for the (CIP)FEM on shape regular meshes including the case of locally refined meshes. Then, a posteriori upper and lower bounds using a new residual-type error estimator, which is equivalent to the standard one, are derived for the (CIP)FE solutions to the NLH problem. These a posteriori estimates have confirmed a significant fact that is also valid for the NLH problem, namely the residual-type estimator seriously underestimates the error of the FE solution in the preasymptotic regime, which was first observed by Babuška et al. [Int J Numer Methods Eng 40 (1997)] for a one-dimensional linear problem. Based on the new a posteriori error estimator, both the convergence and the quasi-optimality of the resulting adaptive finite element algorithm are proved for the first time for the NLH problem, when the initial mesh size lies in the preasymptotic regime. Finally, numerical examples are presented to validate the theoretical findings and demonstrate that applying the CIP technique with appropriate penalty parameters can reduce the pollution errors efficiently. In particular, the nonlinear phenomenon of optical bistability with Gaussian incident waves is successfully simulated by the adaptive CIPFEM.

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Publication Details

Journal
European Journal of Applied Mathematics
Published
2026-09-29
DOI
https://doi.org/10.1017/s0956792526100539
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
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article

Adaptive FEM and CIPFEM for a nonlinear Helmholtz equation with high wave number

Haijun Wu, Yifeng Xu, Jun Zou, Run Jiang
European Journal of Applied Mathematics
Electromagnetic Simulation and Numerical Methods
article

Adaptive FEM and CIPFEM for a nonlinear Helmholtz equation with high wave number

Haijun Wu, Yifeng Xu, Jun Zou, Run Jiang
article en

Abstract

Abstract A nonlinear Helmholtz (NLH) equation with high frequencies and corner singularities is discretized by the linear finite element method (FEM) and the continuous interior penalty finite element method (CIPFEM). After deriving some wave-number-explicit stability estimates and the singularity decomposition for the NLH problem, a priori stability and error estimates are established for the (CIP)FEM on shape regular meshes including the case of locally refined meshes. Then, a posteriori upper and lower bounds using a new residual-type error estimator, which is equivalent to the standard one, are derived for the (CIP)FE solutions to the NLH problem. These a posteriori estimates have confirmed a significant fact that is also valid for the NLH problem, namely the residual-type estimator seriously underestimates the error of the FE solution in the preasymptotic regime, which was first observed by Babuška et al. [Int J Numer Methods Eng 40 (1997)] for a one-dimensional linear problem. Based on the new a posteriori error estimator, both the convergence and the quasi-optimality of the resulting adaptive finite element algorithm are proved for the first time for the NLH problem, when the initial mesh size lies in the preasymptotic regime. Finally, numerical examples are presented to validate the theoretical findings and demonstrate that applying the CIP technique with appropriate penalty parameters can reduce the pollution errors efficiently. In particular, the nonlinear phenomenon of optical bistability with Gaussian incident waves is successfully simulated by the adaptive CIPFEM.

European Journal of Applied Mathematics
Nanjing Tech University (CN), Chinese University of Hong Kong (HK), Shanghai Normal University (CN), Nanjing University of Science and Technology (CN), Academy of Mathematics and Systems Science (CN), Nanjing University (CN)
Life below water
Openalex Percentile: Top 22%
Electromagnetic Simulation and Numerical Methods
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