Allen-Cahn模型多边形网格上HHO方法的多项式增长0 (ε−1)的误差估计

IF 2.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Numerical Mathematics Pub Date : 2025-05-01 Epub Date: 2025-01-13 DOI:10.1016/j.apnum.2025.01.001
Naresh Kumar , Ajeet Singh , Ram Jiwari , J.Y. Yuan
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引用次数: 0

摘要

提出了一种基于多边形网格的混合高阶(HHO)方法来求解合金中相分离引起的Allen-Cahn方程。这个方程的主要挑战在于,当ε趋于零时,使用一个直接的Gronwall不等式类型的参数来估计具有指数增长因子e(CT/ε2)的误差。利用离散Lyapunov泛函和线性化Allen-Cahn算子λACHHO的离散HHO谱估计克服了这种指数增长因子,实现了误差估计误差界的O(ε−1)阶多项式增长。对于能量稳定的全隐式方案,建立了严格的收敛性分析。然而,由于非线性项的隐式处理,计算成本显著增加。为了提高计算效率,HHO方法采用静态冷凝过程,使其在L2范数上的收敛速度达到最优。最后,在不同网格上进行了数值实验来验证我们的理论发现。
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Error estimates with polynomial growth O(ε−1) for the HHO method on polygonal meshes of the Allen-Cahn model
A novel approach is presented to tackle the Allen-Cahn equation arising from phase separation in alloys, by utilizing the hybrid high-order (HHO) method on polygonal meshes. The primary challenge in this equation lies in employing a straightforward Gronwall inequality-type argument for error estimation with exponential growth factor e(CT/ε2) as ε approaches zero. The application of the discrete Lyapunov functional and the discrete HHO spectrum estimate of the linearized Allen-Cahn operator λACHHO are used to overcome this exponential growth factor and achieve polynomial growth of order O(ε1) for error bounds in error estimations. Rigorous convergence analyses are established for the fully implicit schemes, which are energy stable. However, due to the implicit processing of the nonlinear term, the computational cost significantly increases. To enhance computational efficiency, a static condensation process is hired by using the HHO method, resulting in optimal convergence rates in L2 norm. Finally, various numerical experiments on diverse meshes are conducted to validate our theoretical findings.
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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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