强磁场下带电粒子动力学的一些保守斯特朗分裂方法的收敛性

IF 2.4 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-05-01 Epub Date: 2024-12-12 DOI:10.1016/j.cam.2024.116430
Ruijie Yin
{"title":"强磁场下带电粒子动力学的一些保守斯特朗分裂方法的收敛性","authors":"Ruijie Yin","doi":"10.1016/j.cam.2024.116430","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, we analyze the error estimates for different splitting schemes used in modeling Charged-Particle Dynamics within a strong magnetic field. We introduce an energy-preserving splitting scheme whose per-step computational cost remains unaffected by the magnetic field’s strength. For the maximal ordering scaling case, we establish an error bound for this scheme, and more broadly for a range of Strang splitting schemes, in terms of both position and velocity, which is proportional to the step size <span><math><mi>h</mi></math></span>. Additionally, we provide an error bound for position and velocity related to the parameter <span><math><mi>ɛ</mi></math></span>, although this bound is not the most optimal. Numerical experiments are conducted to demonstrate the error characteristics of these splitting schemes, revealing that the error bound exhibits a negative half-order dependence on <span><math><mi>ɛ</mi></math></span>.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"460 ","pages":"Article 116430"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Convergence of some conservative Strang splitting methods for Charged-Particle Dynamics under a strong magnetic field\",\"authors\":\"Ruijie Yin\",\"doi\":\"10.1016/j.cam.2024.116430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this study, we analyze the error estimates for different splitting schemes used in modeling Charged-Particle Dynamics within a strong magnetic field. We introduce an energy-preserving splitting scheme whose per-step computational cost remains unaffected by the magnetic field’s strength. For the maximal ordering scaling case, we establish an error bound for this scheme, and more broadly for a range of Strang splitting schemes, in terms of both position and velocity, which is proportional to the step size <span><math><mi>h</mi></math></span>. Additionally, we provide an error bound for position and velocity related to the parameter <span><math><mi>ɛ</mi></math></span>, although this bound is not the most optimal. Numerical experiments are conducted to demonstrate the error characteristics of these splitting schemes, revealing that the error bound exhibits a negative half-order dependence on <span><math><mi>ɛ</mi></math></span>.</div></div>\",\"PeriodicalId\":50226,\"journal\":{\"name\":\"Journal of Computational and Applied Mathematics\",\"volume\":\"460 \",\"pages\":\"Article 116430\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational and Applied Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0377042724006782\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042724006782","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

在本研究中,我们分析了在强磁场中用于模拟带电粒子动力学的不同分裂方案的误差估计。我们引入了一种能量守恒的分裂方案,其每步计算成本不受磁场强度的影响。对于最大排序缩放情况,我们建立了该方案的误差界,更广泛地说,我们建立了一系列Strang分裂方案的位置和速度的误差界,它与步长h成正比。此外,我们提供了与参数i相关的位置和速度的误差界,尽管这个界不是最优的。数值实验证明了这些分裂方案的误差特性,结果表明,误差界与π呈负半阶关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Convergence of some conservative Strang splitting methods for Charged-Particle Dynamics under a strong magnetic field
In this study, we analyze the error estimates for different splitting schemes used in modeling Charged-Particle Dynamics within a strong magnetic field. We introduce an energy-preserving splitting scheme whose per-step computational cost remains unaffected by the magnetic field’s strength. For the maximal ordering scaling case, we establish an error bound for this scheme, and more broadly for a range of Strang splitting schemes, in terms of both position and velocity, which is proportional to the step size h. Additionally, we provide an error bound for position and velocity related to the parameter ɛ, although this bound is not the most optimal. Numerical experiments are conducted to demonstrate the error characteristics of these splitting schemes, revealing that the error bound exhibits a negative half-order dependence on ɛ.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
期刊最新文献
Asynchronous distributed generalized nash equilibrium computation for aggregative games with coupling constraint Efficient algorithms for the decomposition of skew-Hermitian and η-Hermitian quaternion matrices Dependence modeling and reliability inference of stress–strength model in multicomponent redundant system based on mixed copula function Singular value decomposition of third-order split quaternion tensors A unified relaxation method for tensor split feasibility problems on unions of sets
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1