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

Published online by Cambridge University Press:  29 September 2026

Run Jiang
Affiliation:
Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
Haijun Wu
Affiliation:
School of Mathematics, Nanjing University, Nanjing, China
Yifeng Xu
Affiliation:
Department of Mathematics and Scientific Computing Key Laboratory of Shanghai Universities, Shanghai Normal University, Shanghai, China
Jun Zou*
Affiliation:
Department of Mathematics, The Chinese University of Hong Kong, Hong Kong, China
*
Corresponding author: Jun Zou; Email: zou@math.cuhk.edu.hk
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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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Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Setting of the NLH problem.

Figure 1

Figure 2. Top: The mesh after 20 adaptive iterations and ℜ(u)$\Re (u)$, respectively; Bottom: The local meshes around (12,0)$(\frac 12,0)$ and (0,0)$(0,0)$, respectively.

Figure 2

Figure 3. Figure 3 long description.The relative H1$H^1$-errors versus the number of elements for k=80,q=20,hT0=0.04$k=80, q=20, h_{\mathcal{T}_0}=0.04$.

Figure 3

Figure 4. The effectivity indices versus the number of elements for k=80,q=20,hT0=0.04$k=80, q=20, h_{\mathcal{T}_0}=0.04$.

Figure 4

Figure 5. The relative H1$H^1$-errors of AFEM and FEM versus the number of elements for k=5,q=1$k=5, q=1$, respectively.

Figure 5

Figure 6. Left: The scaled energy of the scattered field; Right: Error estimators ηT$\eta _{\mathcal{T}}$ at the point A$A$.

Figure 6

Figure 7. Scattered field patterns (magnitude) of the three solutions marked as the points A, B and C.

Figure 7

Figure 8. |uh|1,T${\vert u_h \vert }_{1,T}$, the global and local adaptive mesh at the point C, respectively.