拟周期椭圆方程的投影法及其在拟周期均匀化中的应用

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Kai Jiang, Meng Li, Juan Zhang, Lei Zhang
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引用次数: 0

摘要

SIAM数值分析杂志,第63卷,第5期,1962-1985页,2025年10月。摘要。在这项研究中,我们解决了求解具有准周期系数的椭圆方程的挑战。为了实现精确和高效的计算,我们引入了投影方法,使准周期系统嵌入到高维周期系统中。为了提高计算效率,我们提出了一种基于多级块循环结构的刚度矩阵压缩存储策略,显著降低了存储需求。此外,我们设计了一个对角预条件,通过减少刚度矩阵的条件数来有效地求解得到的高维线性系统。这些技术共同有助于我们提出的方法的计算效率。收敛性分析表明该方法具有多项式精度。通过一系列数值算例验证了该方法的有效性和准确性。此外,我们还应用我们的方法实现了准周期多尺度椭圆方程均匀化系数的高精度计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Projection Method for Quasiperiodic Elliptic Equations and Application to Quasiperiodic Homogenization
SIAM Journal on Numerical Analysis, Volume 63, Issue 5, Page 1962-1985, October 2025.
Abstract. In this study, we address the challenge of solving elliptic equations with quasiperiodic coefficients. To achieve accurate and efficient computation, we introduce the projection method, which enables the embedding of quasiperiodic systems into higher-dimensional periodic systems. To enhance the computational efficiency, we propose a compressed storage strategy for the stiffness matrix by its multilevel block circulant structure, significantly reducing memory requirements. Furthermore, we design a diagonal preconditioner to efficiently solve the resulting high-dimensional linear system by reducing the condition number of the stiffness matrix. These techniques collectively contribute to the computational effectiveness of our proposed approach. Convergence analysis shows the polynomial accuracy of the proposed method. We demonstrate the effectiveness and accuracy of our approach through a series of numerical examples. Moreover, we apply our method to achieve a highly accurate computation of the homogenized coefficients for a quasiperiodic multiscale elliptic equation.
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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