对流扩散方程的显式欧拉法的最优收敛速率II:高维情况

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED
Qifeng Zhang, Jiyuan Zhang, Zhi‐zhong Sun
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引用次数: 1

摘要

本文是对对流扩散方程的显式欧拉离散在时间上的最优收敛速率研究的第二部分[Zhang等]。达成。数学。leet . 131(2022), 108048],其重点是Dirichlet/Neumann边界条件下的高维线性/非线性情况。在时间导数显式欧拉离散化和空间导数中心差分离散化的基础上,提出了几种新的差分格式。在最大范数下对应用于恒对流系数的改进差分格式进行了先验估计,当沿各方向的步长比等于时,达到了最优收敛速率4。我们也给出了三维情况下的部分结果。与经典差分格式相比,改进的差分格式从根本上改善了CFL条件和数值精度。在Dirichlet/Neumann边界条件下涉及二维/三维线性/非线性问题的数值例子,如Fisher方程、Chafee-Infante方程和Burgers方程,证实了改进差分格式所声称的良好性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal convergence rate of the explicit Euler method for convection–diffusion equations II: High dimensional cases
Abstract This is the second part of study on the optimal convergence rate of the explicit Euler discretization in time for the convection–diffusion equations [Zhang et al. Appl. Math. Lett. 131 (2022), 108048] which focuses on high‐dimensional linear/nonlinear cases under Dirichlet/Neumann boundary conditions. Several new difference schemes are proposed based on the explicit Euler discretization in temporal derivative and centered difference discretization in spatial derivatives. The priori estimate of the improved difference scheme with application to the constant convection coefficients is performed under the maximum norm and the optimal convergence rate four is achieved when the step‐ratios along each direction equal to . Also we give partial results for the three‐dimensional case. The improved difference schemes have essentially improved the CFL condition and the numerical accuracy comparing with the classical difference schemes. Numerical examples involving two‐/three‐dimensional linear/nonlinear problems under Dirichlet/Neumann boundary conditions such as the Fisher equation, the Chafee–Infante equation and the Burgers' equation substantiate the good properties claimed for the improved difference scheme.
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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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