An efficient linearly implicit and energy‐conservative scheme for two dimensional Klein–Gordon–Schrödinger equations

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED
Hongwei Li, Yuna Yang, Xiangkun Li
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引用次数: 0

Abstract

The Klein–Gordon–Schrödinger equations describe a classical model of interaction of nucleon field with meson field in physics, how to design the energy conservative and stable schemes is an important issue. This paper aims to develop a linearized energy‐preserve, unconditionally stable and efficient scheme for Klein–Gordon–Schrödinger equations. Some auxiliary variables are utilized to circumvent the imaginary functions of Klein–Gordon–Schrödinger equations, and transform the original system into its real formulation. Based on the invariant energy quadratization approach, an equivalent system is deduced by introducing a Lagrange multiplier. Then the efficient and unconditionally stable scheme is designed to discretize the deduced equivalent system. A numerical analysis of the proposed scheme is presented to illustrate its uniquely solvability and convergence. Numerical examples are provided to validate accuracy, energy and mass conservation laws, and stability of our proposed method.
二维Klein-Gordon-Schrödinger方程的有效线性隐式和能量保守格式
Klein-Gordon-Schrödinger方程描述了一个经典的核子场与介子场相互作用的物理模型,如何设计能量守恒和稳定的格式是一个重要的问题。本文旨在建立Klein-Gordon-Schrödinger方程的线性化能量保持、无条件稳定和有效的格式。利用辅助变量绕过Klein-Gordon-Schrödinger方程的虚函数,将原方程组转化为实方程组。在能量不变二次化的基础上,引入拉格朗日乘子,推导出一个等效系统。然后设计了有效且无条件稳定的方案对推导出的等效系统进行离散化。通过数值分析说明了该方案的唯一可解性和收敛性。数值算例验证了该方法的精度、能量和质量守恒规律以及稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
2.60%
发文量
81
审稿时长
9 months
期刊介绍: An international journal that aims to cover research into the development and analysis of new methods for the numerical solution of partial differential equations, it is intended that it be readily readable by and directed to a broad spectrum of researchers into numerical methods for partial differential equations throughout science and engineering. The numerical methods and techniques themselves are emphasized rather than the specific applications. The Journal seeks to be interdisciplinary, while retaining the common thread of applied numerical analysis.
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