非线性扩展渔-科尔莫哥罗夫方程的全伽勒金近似的误差分析

Kaouther Ismail, Ankur, Khaled Omrani
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引用次数: 0

摘要

本文提出了一种完全离散的 Crank-Nicolson Galerkin 有限元方法,用于求解二维非线性扩展渔-科尔莫哥罗夫方程:\(u_t + \gamma \Delta ^2 u -\Delta u -u +u^{3} = 0.\) 详细研究了数值解在最大规范中的有界性、唯一可解性以及在 \(L^2\) 和 \(L^{\infty })规范中的相关收敛结果。此外,还设计了一种新的线性化 Crank-Nicolson Galerkin 修正方案,并建立了不受任何时间步长限制的误差估计。最后,提供了一些一维和二维情况下的计算实验,以说明我们方法的有效性并证实理论结果。
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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Error analysis of the fully Galerkin approximations for the nonlinear extended-Fisher–Kolmogorov equation

In this article, we present a fully discrete Crank–Nicolson Galerkin finite element method for solving the two-dimensional nonlinear extended-Fisher–Kolmogorov equation: \(u_t + \gamma \Delta ^2 u -\Delta u -u +u^{3} = 0.\) The boundedness of the numerical solution in the maximum norm, unique solvability, and related convergence results in \(L^2\) and \(L^{\infty }\)-norms are studied in detail. Also, a new linearized Crank–Nicolson Galerkin modification scheme is designed and error estimate without any time step restrictions is established. Finally, some computational experiments in one and two dimension cases are provided to illustrate the efficacy of our method and to confirm the theoretical results.

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来源期刊
自引率
11.50%
发文量
352
期刊介绍: Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics). The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance.
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