Adaptive mixed virtual element method for the fourth-order singularly perturbed problem

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2025-03-01 Epub Date: 2025-01-13 DOI:10.1016/j.jcp.2025.113738
Jian Meng , Xu Qian , Jiali Qiu , Jingmin Xia
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Abstract

The singularly perturbed theory mainly arises in the system of differential equations with the small enough perturbed parameters acting on the highest-order derivatives. In this paper, we introduce the adaptive mixed virtual element method for the fourth-order singularly perturbed problem and the associated eigenvalue problem. It allows to apply the H1-conforming virtual elements to discrete the continuous spaces and reduces the total number of required degrees of freedom of the H2-conforming virtual element method. Basically, the great flexibility of virtual element method becomes appealing in mesh refinement because the locally mesh post-processing to remove hanging nodes is never needed. This naturally motivates us to develop an a posteriori error estimate for the model problem. Based on the numerical solutions, the interior and edge residual terms, and the error terms related to the inconsistency of the virtual element scheme, the error estimators applied to adaptively refine meshes are constructed and then proved to be equivalent to numerical errors under the balanced energy norms. Moreover, we also consider the approximation method for the fourth-order singularly perturbed eigenvalue problem in two-dimensional space. Analogous with the source problem, we not only discuss the boundedness of the eigenfunctions, but also present the upper bound for the error of the approximated eigenvalues by these error estimators. Necessitated by supporting the theoretical analysis, representative numerical examples are reported. We show that the current numerical method converges at the optimal rate uniformly with respect to the singularly perturbed parameters when using the adaptive polygonal meshes.
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四阶奇异摄动问题的自适应混合虚元法
奇摄动理论主要出现在具有足够小的摄动参数作用于最高阶导数的微分方程组中。本文介绍了求解四阶奇摄动问题及其相关特征值问题的自适应混合虚元法。它允许将符合h1的虚元应用于离散的连续空间,减少了符合h2的虚元法所需的总自由度。从根本上说,虚元法在网格细化中具有极大的灵活性,因为它不需要进行局部网格后处理来去除挂节点。这自然促使我们为模型问题开发一个后验误差估计。基于数值解、内部和边缘残差项以及与虚元格式不一致相关的误差项,构造了用于自适应细化网格的误差估计量,并证明了在平衡能量范数下的数值误差等价。此外,我们还研究了二维空间中四阶奇摄动特征值问题的近似方法。与源问题类似,我们不仅讨论了特征函数的有界性,而且给出了这些误差估计器所近似的特征值误差的上界。为支持理论分析的需要,给出了有代表性的数值算例。结果表明,当采用自适应多边形网格时,现有的数值方法对奇异摄动参数的收敛速度是一致的。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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