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Volume 43, Issue 3
Crank-Nicolson Galerkin Approximations for Logarithmic Klein-Gordon Equation

Fang Chen, Meng Li & Yanmin Zhao

J. Comp. Math., 43 (2025), pp. 641-672.

Published online: 2024-11

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  • Abstract

This paper presents three regularized models for the logarithmic Klein-Gordon equation. By using a modified Crank-Nicolson method in time and the Galerkin finite element method (FEM) in space, a fully implicit energy-conservative numerical scheme is constructed for the local energy regularized model that is regarded as the best one among the three regularized models. Then, the cut-off function technique and the time-space error splitting technique are innovatively combined to rigorously analyze the unconditionally optimal and high-accuracy convergence results of the numerical scheme without any coupling condition between the temporal step size and the spatial mesh width. The theoretical framework is uniform for the other two regularized models. Finally, numerical experiments are provided to verify our theoretical results. The analytical techniques in this work are not limited in the FEM, and can be directly extended into other numerical methods. More importantly, this work closes the gap for the unconditional error/stability analysis of the numerical methods for the logarithmic systems in higher dimensional spaces.

  • AMS Subject Headings

65N30, 65N06, 65N12

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{JCM-43-641, author = {Chen , FangLi , Meng and Zhao , Yanmin}, title = {Crank-Nicolson Galerkin Approximations for Logarithmic Klein-Gordon Equation}, journal = {Journal of Computational Mathematics}, year = {2024}, volume = {43}, number = {3}, pages = {641--672}, abstract = {

This paper presents three regularized models for the logarithmic Klein-Gordon equation. By using a modified Crank-Nicolson method in time and the Galerkin finite element method (FEM) in space, a fully implicit energy-conservative numerical scheme is constructed for the local energy regularized model that is regarded as the best one among the three regularized models. Then, the cut-off function technique and the time-space error splitting technique are innovatively combined to rigorously analyze the unconditionally optimal and high-accuracy convergence results of the numerical scheme without any coupling condition between the temporal step size and the spatial mesh width. The theoretical framework is uniform for the other two regularized models. Finally, numerical experiments are provided to verify our theoretical results. The analytical techniques in this work are not limited in the FEM, and can be directly extended into other numerical methods. More importantly, this work closes the gap for the unconditional error/stability analysis of the numerical methods for the logarithmic systems in higher dimensional spaces.

}, issn = {1991-7139}, doi = {https://doi.org/10.4208/jcm.2312-m2023-0185}, url = {http://global-sci.org/intro/article_detail/jcm/23553.html} }
TY - JOUR T1 - Crank-Nicolson Galerkin Approximations for Logarithmic Klein-Gordon Equation AU - Chen , Fang AU - Li , Meng AU - Zhao , Yanmin JO - Journal of Computational Mathematics VL - 3 SP - 641 EP - 672 PY - 2024 DA - 2024/11 SN - 43 DO - http://doi.org/10.4208/jcm.2312-m2023-0185 UR - https://global-sci.org/intro/article_detail/jcm/23553.html KW - Logarithmic Klein-Gordon equation, Finite element method, Cut-off, Error splitting technique, Convergence. AB -

This paper presents three regularized models for the logarithmic Klein-Gordon equation. By using a modified Crank-Nicolson method in time and the Galerkin finite element method (FEM) in space, a fully implicit energy-conservative numerical scheme is constructed for the local energy regularized model that is regarded as the best one among the three regularized models. Then, the cut-off function technique and the time-space error splitting technique are innovatively combined to rigorously analyze the unconditionally optimal and high-accuracy convergence results of the numerical scheme without any coupling condition between the temporal step size and the spatial mesh width. The theoretical framework is uniform for the other two regularized models. Finally, numerical experiments are provided to verify our theoretical results. The analytical techniques in this work are not limited in the FEM, and can be directly extended into other numerical methods. More importantly, this work closes the gap for the unconditional error/stability analysis of the numerical methods for the logarithmic systems in higher dimensional spaces.

Chen , FangLi , Meng and Zhao , Yanmin. (2024). Crank-Nicolson Galerkin Approximations for Logarithmic Klein-Gordon Equation. Journal of Computational Mathematics. 43 (3). 641-672. doi:10.4208/jcm.2312-m2023-0185
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