4.7 Article

Two regularized energy-preserving finite difference methods for the logarithmic Klein-Gordon equation

出版社

ELSEVIER
DOI: 10.1016/j.cam.2021.113478

关键词

Logarithmic Klein-Gordon equation; Regularized logarithmic Klein-Gordon equation; Finite difference method; Error estimate; Convergence order; Energy-preserving

资金

  1. National Natural Science Foundation of China [11901577, 11971481, 12071481, 12001539]
  2. National Key R&D Program of China [SQ2020YFA070075]
  3. Natural Science Foundation of Hunan, China [S2017JJQNJJ0764, 2020JJ5652]
  4. Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, China [2018MMAEZD004]
  5. Basic Research Foundation of National Numerical Wind Tunnel Project, China [NNW2018-ZT4A08]
  6. Research Fund of National University of Defense Technology, China [ZK19-37]
  7. Hunan Provincial Innovation Foundation, China [CX20200010]
  8. Chinese Scholarship Council [201903170118]

向作者/读者索取更多资源

The paper introduces two regularized finite difference methods that preserve the energy of the logarithmic Klein-Gordon equation, and proposes a regularized logarithmic Klein-Gordon equation with a small regulation parameter to approximate the LogKGE. By combining the energy method, inverse inequality, and cut-off technique of the nonlinearity, the error bound of the two schemes is derived with an error estimate reported for the mesh size, time step, and parameter. Numerical results are provided to support the conclusions.
We present and analyze two regularized finite difference methods which preserve energy of the logarithmic Klein-Gordon equation (LogKGE). In order to avoid singularity caused by the logarithmic nonlinearity of the LogKGE, we propose a regularized logarithmic Klein-Gordon equation (RLogKGE) with a small regulation parameter 0 < epsilon << 1 to approximate the LogKGE with the convergence order O(epsilon). To derive the error bound of the two schemes, we combine the energy method, the inverse inequality, with the cut-off technique of the nonlinearity. And we obtain the error estimate at O(h(2) + tau(2)/epsilon(2)) for the two schemes with the mesh size h, the time step tau and the parameter epsilon. Numerical results are reported to support our conclusions. (c) 2021 Elsevier B.V. All rights reserved.

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