4.6 Article

A linearly implicit structure-preserving scheme for the fractional sine-Gordon equation based on the IEQ approach

Journal

APPLIED NUMERICAL MATHEMATICS
Volume 160, Issue -, Pages 368-385

Publisher

ELSEVIER
DOI: 10.1016/j.apnum.2020.10.009

Keywords

Structure-preserving algorithm; Fractional sine-Gordon equation; Hamiltonian system; Invariant energy quadratization; Numerical analysis

Funding

  1. National Key Research and Development Project of China [2017YFC0601505, 2018YFC1504205]
  2. National Natural Science Foundation of China [11771213, 61872422, 11971242, 11971416]
  3. Major Projects of Natural Sciences of University in Jiangsu Province of China [18KJA110003]

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This paper develops a linearly implicit structure-preserving numerical scheme for the space fractional sine-Gordon equation based on the newly developed invariant energy quadratization method. The algorithm uses a fast Fourier transformation technique to reduce computational complexity. Numerical examples are provided to confirm the theoretical analysis results.
This paper aims to develop a linearly implicit structure-preserving numerical scheme for the space fractional sine-Gordon equation, which is based on the newly developed invariant energy quadratization method. First, we reformulate the equation as a canonical Hamiltonian system by virtue of the variational derivative of the functional with fractional Laplacian. Then, we utilize the fractional centered difference formula to discrete the equivalent system derived by the invariant energy quadratization method in space direction, and obtain a conservative semi-discrete scheme. Subsequently, the linearly implicit structure-preserving method is applied for the resulting semi-discrete system to arrive at a fully-discrete conservative scheme. The stability, solvability and convergence in the maximum norm of the numerical scheme are given. Furthermore, a fast algorithm based on the fast Fourier transformation technique is used to reduce the computational complexity in practical computation. Finally, numerical examples are provided to confirm our theoretical analysis results. (C) 2020 IMACS. Published by Elsevier B.V. All rights reserved.

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