{"title":"Well-Posedness of 3D MHD Equations with Damping on Time-Varying Domains","authors":"Xiaoya Song","doi":"10.1007/s00245-025-10253-7","DOIUrl":null,"url":null,"abstract":"<div><p>In the present paper, we consider the well-posedness of 3D MHD equations with the damping terms <span>\\(|u|^{\\alpha -1}u\\)</span> and <span>\\(|B|^{\\beta -1}B\\)</span> (<span>\\(\\alpha ,\\beta \\ge 1\\)</span>) defined on time-varying domains with homogeneous Dirichlet boundary conditions. We show that the damped 3D MHD system has global weak solutions for any <span>\\(1\\le \\alpha ,\\beta \\le 5\\)</span> and the weak solution is unique for any <span>\\(4\\le \\alpha ,\\beta \\le 5\\)</span>.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Optimization","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s00245-025-10253-7","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In the present paper, we consider the well-posedness of 3D MHD equations with the damping terms \(|u|^{\alpha -1}u\) and \(|B|^{\beta -1}B\) (\(\alpha ,\beta \ge 1\)) defined on time-varying domains with homogeneous Dirichlet boundary conditions. We show that the damped 3D MHD system has global weak solutions for any \(1\le \alpha ,\beta \le 5\) and the weak solution is unique for any \(4\le \alpha ,\beta \le 5\).
期刊介绍:
The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.