A fully discrete semi-implicit numerical scheme and its optimal error estimates for Cahn-Hilliard-MHD model with variable density

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Dongmei Duan , Fuzheng Gao , Xiaoming He , Yanping Lin
{"title":"A fully discrete semi-implicit numerical scheme and its optimal error estimates for Cahn-Hilliard-MHD model with variable density","authors":"Dongmei Duan ,&nbsp;Fuzheng Gao ,&nbsp;Xiaoming He ,&nbsp;Yanping Lin","doi":"10.1016/j.cnsns.2025.109401","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes and analyzes a fully discrete semi-implicit unconditionally energy stable numerical scheme to solve the Cahn-Hilliard Magnetohydrodynamics (Cahn-Hilliard-MHD) model with variable density. The unconditional energy stability and optimal <span><math><msup><mi>L</mi><mn>2</mn></msup></math></span> error estimates are established for the fully discrete scheme. Major challenges in error estimation arise from the variable density, the strong nonlinearities, and the multi-physics coupling of the model. Under the mathematical induction framework, the Ritz quasi-projection and the Stokes quasi-projection, proposed in [SIAM J. Numer. Anal., 61(3):1218-1245, 2023], are utilized to avoid the gradient terms of the projection errors. The <span><math><msup><mi>H</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span> superconvergence error estimates of Ritz projection and Ritz quasi-projection reduce the regularity requirement for the finite element space. Two different sets of test functions are also selected to avoid extra estimations of the <span><math><msup><mi>L</mi><mn>2</mn></msup></math></span> norm terms. The summation by parts transfers the backward difference quotient operator from the test function to the trial function, avoiding the need for extra estimation of the test function. A numerical experiment is provided to verify the theoretical results.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"152 ","pages":"Article 109401"},"PeriodicalIF":3.8000,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S100757042500810X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes and analyzes a fully discrete semi-implicit unconditionally energy stable numerical scheme to solve the Cahn-Hilliard Magnetohydrodynamics (Cahn-Hilliard-MHD) model with variable density. The unconditional energy stability and optimal L2 error estimates are established for the fully discrete scheme. Major challenges in error estimation arise from the variable density, the strong nonlinearities, and the multi-physics coupling of the model. Under the mathematical induction framework, the Ritz quasi-projection and the Stokes quasi-projection, proposed in [SIAM J. Numer. Anal., 61(3):1218-1245, 2023], are utilized to avoid the gradient terms of the projection errors. The H1 superconvergence error estimates of Ritz projection and Ritz quasi-projection reduce the regularity requirement for the finite element space. Two different sets of test functions are also selected to avoid extra estimations of the L2 norm terms. The summation by parts transfers the backward difference quotient operator from the test function to the trial function, avoiding the need for extra estimation of the test function. A numerical experiment is provided to verify the theoretical results.
变密度Cahn-Hilliard-MHD模型的全离散半隐式数值格式及其最优误差估计
针对变密度Cahn-Hilliard磁流体动力学模型,提出并分析了一种全离散半隐式无条件能量稳定数值格式。建立了完全离散方案的无条件能量稳定性和最优L2误差估计。误差估计的主要挑战来自于模型的变密度、强非线性和多物理场耦合。在数学归纳框架下,提出了Ritz拟投影和Stokes拟投影[j]。分析的。, 61(3):1218- 1245,2023],以避免投影误差的梯度项。Ritz投影和Ritz拟投影的H−1超收敛误差估计降低了有限元空间的正则性要求。还选择了两组不同的测试函数,以避免L2范数项的额外估计。分部求和法将差商算子从测试函数向后转移到试验函数,避免了对测试函数的额外估计。通过数值实验对理论结果进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信