期刊
APPLIED NUMERICAL MATHEMATICS
卷 167, 期 -, 页码 389-419出版社
ELSEVIER
DOI: 10.1016/j.apnum.2021.05.016
关键词
Fractional Klein-Gordon-Zakharov system; Linear implicit finite difference methods; Energy conservative methods; Unconditional convergence
资金
- National Natural Science Foundation of China [11971241]
- Natural Science Research Project of Anhui Provincial University - Anhui Education Department [KJ2020A0005]
Novel linearized implicit difference schemes with energy conservation property are constructed to simulate the propagation of fractional Klein-Gordon-Zakharov system. The convergence of the constructed algorithms is proven using discrete energy method. Numerical examples demonstrate the effectiveness of the suggested schemes.
In this article, novel linearized implicit difference schemes with energy conservation property for fractional Klein-Gordon-Zakharov system are constructed and analyzed. The important feature of the article is that new auxiliary equations partial derivative u/partial derivative t = -v and partial derivative phi/partial derivative t = partial derivative 2 psi/partial derivative x(2) are introduced to transform the original fractional Klein-Gordon-Zakharov system into an equivalent system of equations exactly. Especially, two kinds of efficacious difference operators, the leap-frog and modified Crank-Nicolson methods are respectively utilized to establish the linearized implicit difference schemes with energy conservation property for simulating the propagation of transformed equations. And above all, by employing the discrete energy method, we have proven that the constructed difference algorithms enjoy the convergence order of O(Delta t(2) + h(2)) and O(Delta t(2) + h(4)) in L-infinity- and L-2-norms, without imposing any restrictive conditions on the grid ratio compared with the existing literature. Two numerical examples are carried out to investigate the physical behaviors of the wave propagation and substantiate the effectiveness of the suggested schemes. (C) 2021 IMACS. Published by Elsevier B.V. All rights reserved.
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