A Novel Class of Energy-Preserving Runge-Kutta Methods for the Korteweg-de Vries Equation

被引:8
|
作者
Chen, Yue [1 ,2 ]
Gong, Yuezheng [1 ,2 ,3 ]
Hong, Qi [1 ,2 ,3 ]
Wang, Chunwu [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 211106, Peoples R China
[2] MIIT, Key Lab Math Modelling & High Performance Comp Ai, Nanjing 211106, Peoples R China
[3] Jiangsu Key Lab Numer Simulat Large Scale Complex, Nanjing 210023, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Quadratic auxiliary variable approach; symplectic Runge-Kutta scheme; energy-preserving algorithm; Fourier pseudo-spectral method; MULTI-SYMPLECTIC FORMULATIONS; DISCONTINUOUS GALERKIN METHOD; FINITE-ELEMENT METHODS; SCHEMES; ALGORITHMS; IMPLEMENTATION; INTEGRATOR;
D O I
10.4208/nmtma.OA-2021-0172
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we present a quadratic auxiliary variable approach to develop a new class of energy-preserving Runge-Kutta methods for the Korteweg-de Vries equation. The quadratic auxiliary variable approach is first proposed to reformulate the original model into an equivalent system, which transforms the energy conservation law of the Korteweg-de Vries equation into two quadratic invariants of the reformulated system. Then the symplectic Runge-Kutta methods are directly employed for the reformulated model to arrive at a new kind of time semi-discrete schemes for the original problem. Under consistent initial conditions, the proposed methods are rigorously proved to maintain the original energy conservation law of the Korteweg-de Vries equation. In addition, the Fourier pseudo-spectral method is used for spatial discretization, resulting in fully discrete energy-preserving schemes. To implement the proposed methods effectively, we present a very efficient iterative technique, which not only greatly saves the calculation cost, but also achieves the purpose of practically preserving structure. Ample numerical results are addressed to confirm the expected order of accuracy, conservative property and efficiency of the proposed algorithms.
引用
收藏
页码:768 / 792
页数:25
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