Discontinuous Galerkin time-stepping method for semilinear parabolic problems with mild growth condition

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED
Raksha Devi, Dwijendra Narain Pandey
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引用次数: 0

Abstract

We investigate the numerical solution of semilinear parabolic equations under mild growth conditions on the nonlinear source function, focusing on time discretization using the discontinuous Galerkin (DG) method. A novel technique is proposed for handling terms that arise from mild growth condition during the application of the DG method in time. This approach ensures the solvability of the semi-discrete scheme without requiring any boundedness assumptions on the nonlinearity. Additionally, we establish the optimal order of convergence for the semi-discrete approach. Subsequently, we combine the continuous Galerkin method in space with the discontinuous Galerkin method in the temporal direction to develop a fully discrete scheme. We demonstrate that the fully discrete (DG-CG) scheme achieves optimal convergence rates while accommodating the mild growth conditions under various hypotheses on the exact solution u. Our theoretical findings are verified through a series of numerical experiments.
半线性抛物型温和增长问题的不连续Galerkin时间步进法
研究了非线性源函数在温和增长条件下半线性抛物方程的数值解,重点研究了用不连续Galerkin (DG)方法进行时间离散的方法。提出了一种新的技术,用于处理在DG法应用过程中由于温和生长条件而产生的术语。这种方法保证了半离散格式的可解性,而不需要对非线性作任何有界假设。此外,我们建立了半离散方法的最优收敛阶。随后,我们将空间上的连续Galerkin方法与时间方向上的不连续Galerkin方法结合起来,得到了一个完全离散格式。我们证明了在精确解u的各种假设下,完全离散(DG-CG)格式在适应温和增长条件的同时达到了最佳收敛速率。我们的理论发现通过一系列数值实验得到了验证。
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
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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