首页|Two energy-preserving numerical models for a multi-fractional extension of the Klein-Gordon-Zakharov system

Two energy-preserving numerical models for a multi-fractional extension of the Klein-Gordon-Zakharov system

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  • NSTL
  • Elsevier
This manuscript is devoted to studying approximations of a coupled Klein-Gordon-Zakharov system where different orders of fractional spatial derivatives are utilized. The fractional derivatives involved are in the Riesz sense. It is understood that such a modeling system possesses an energy functional which is conserved throughout the period of time considered, and that its solutions are uniformly bounded. Motivated by these facts, we propose two numerical models to approximate the underlying continuous system. While both approximations remain to be nonlinear, one of them is implicit and the other is explicit. For each of the discretized models, we introduce a proper discrete energy functional to estimate the total energy of the continuous system. We prove that such a discrete energy is conserved in both cases. The existence of solutions of the numerical models is established via fixed-point theorems. Continuing explorations of intrinsic properties of the numerical solutions are carried out. More specifically, we show rigorously that the two schemes constructed are capable of preserving the boundedness of the approximations and that they yield consistent estimates of the true solution. Numerical stability and convergence are likewise proved theoretically. As one of the consequences, the uniqueness of numerical solutions is shown rigorously for both discretized models. Finally, comparisons of the numerical solutions are provided, in order to evaluate the capabilities of these discrete methods to preserve the discrete energy of underlying systems. (c) 2021 Elsevier B.V. All rights reserved.

Conservation of energyRiesz space-fractional equationsEnergy-conserving methodFractional-order centered differencesNumerical efficiency analysisMulti-fractional Klein-Gordon-Zakharov equationsDIFFUSION-EQUATIONSVECTOR CALCULUSWAVE-EQUATIONSEFFICIENTSCHEMEDIFFERENTIABILITYSUPRATRANSMISSION

Martinez, Romeo、Sheng, Qin、Macias-Diaz, Jorge E.

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Univ Autonoma Aguascalientes

Baylor Univ

Tallinn Univ

2022

10.1016/j.cam.2021.114023

Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN：0377-0427
年,卷(期)：2022.406
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