一般非线性抛物型方程最低阶非协调虚元法的最优收敛性分析

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-09-01 Epub Date: 2025-02-20 DOI:10.1016/j.cam.2025.116576
Yanping Chen , Wanxiang Liu , Yang Wang , Huaming Yi
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引用次数: 0

摘要

针对一般非线性抛物方程,在时间上基于二阶加权隐显格式,在空间上基于最低阶非协调虚元离散,提出了一组紧致线性隐式Galerkin方法。该方法在时间方向上实现了二阶全局精度,不需要额外的初始迭代。为了解决不一致虚元空间引起的一致性误差,构造了两个新的椭圆投影算子,并严格证明了其投影解的收敛性和有界性。利用一种新的椭圆投影算子和时空误差分割技术,建立了全离散解的L∞有界性和无条件最优误差估计。几个数值实验证明了我们的理论发现。
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Optimal convergence analysis of the lowest-order nonconforming virtual element method for general nonlinear parabolic equations
A family of compact and linearly implicit Galerkin method is proposed for the general nonlinear parabolic equation based on second-order weighted implicit–explicit schemes in time and the lowest-order nonconforming virtual element discretization in space. The proposed method achieves second-order global accuracy in the temporal directions, and no additional initial iterations are required. To address consistency errors arising from nonconforming virtual element space, we construct two novel elliptic projection operators and rigorously prove the convergence and boundedness of the projection solutions. With the help of a novel elliptic projection operator and the temporal–spatial error splitting technique, we establish the L boundedness and unconditional optimal error estimate of the fully discrete solution. Several numerical experiments are presented to validate our theoretical discoveries.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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