A uniformly convergent analysis for multiple scale parabolic singularly perturbed convection-diffusion coupled systems: Optimal accuracy with less computational time

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

Abstract

This study addresses time-dependent multiple-scale reaction-convection-diffusion initial boundary value systems characterized by strong coupling in the reaction matrix and weak coupling in the convection terms for a locally optimal accurate solution. The discrete problem, which typically loses its tridiagonal structure, expands its bandwidth to four in such coupled systems, resulting in a substantial computational load. Our objective is to mitigate this computational burden through a splitting approach that transforms the non-tridiagonal matrix into a tridiagonal form while maintaining the consistency, local optimal accuracy in space, and stability of the numerical scheme. We employ equidistributed non-uniform grids, guided by a carefully chosen monitor function, to approximate the continuous space domain. The discretization strategy targets local optimal linear accuracy across space and time on the domain's interior points. In addition, we have also provided the global convergence analysis of the present splitting approach, mathematically. The mathematical evidence is also obtained from the numerical experiments by comparing the splitting approach (either diagonal or triangular forms) of the reaction matrix to its coupled form. The results strongly confirm the effectiveness of this approach in delivering uniform linear accuracy, based on the present problem discretizations while significantly reducing the computational costs.
多尺度抛物线奇异扰动对流扩散耦合系统的均匀收敛分析:用更少的计算时间获得最佳精度
本研究探讨了以反应矩阵强耦合和对流项弱耦合为特征的时变多尺度反应-对流-扩散初始边界值系统的局部最优精确解。离散问题通常会失去其三对角结构,在这种耦合系统中,其带宽会扩大到四个,从而造成巨大的计算负荷。我们的目标是通过拆分方法减轻这种计算负担,将非对角矩阵转化为对角线形式,同时保持数值方案的一致性、空间局部最优精度和稳定性。我们采用等分布非均匀网格,以精心选择的监控函数为指导,逼近连续空间域。离散化策略的目标是域内点在空间和时间上的局部最优线性精度。此外,我们还从数学角度对目前的分割方法进行了全局收敛分析。通过比较反应矩阵的拆分方法(对角线或三角形形式)和耦合形式,我们还从数值实验中获得了数学证据。结果有力地证实了这种方法在提供统一线性精度方面的有效性,基于目前的问题离散化,同时显著降低了计算成本。
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来源期刊
Applied Numerical Mathematics
Applied Numerical Mathematics 数学-应用数学
CiteScore
5.60
自引率
7.10%
发文量
225
审稿时长
7.2 months
期刊介绍: The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are: (i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments. (ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers. (iii) Short notes, which present specific new results and techniques in a brief communication.
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