标准化时间分数Fokker-Planck方程的计算分析

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Jian Wang , Keyong Chen , Junseok Kim
{"title":"标准化时间分数Fokker-Planck方程的计算分析","authors":"Jian Wang ,&nbsp;Keyong Chen ,&nbsp;Junseok Kim","doi":"10.1016/j.physa.2025.130500","DOIUrl":null,"url":null,"abstract":"<div><div>We propose a normalized time-fractional Fokker–Planck equation (TFFPE). A finite difference method is used to develop a computational method for solving the equation, and the system’s dynamics are investigated through computational simulations. The proposed model demonstrates accuracy and efficiency in approximating analytical solutions. Numerical tests validate the method’s effectiveness and highlight the impact of various fractional orders on the dynamics of the normalized time-fractional Fokker–Planck equation. The numerical tests emphasize the significant impact of different fractional orders on the temporal evolution of the system. Specifically, the computational results demonstrate how varying the fractional order influences the diffusion process, with lower orders exhibiting stronger memory effects and slower diffusion, while higher orders lead to faster propagation and a transition towards classical diffusion behavior. This work contributes to the understanding of fractional dynamics and provides a robust tool for simulating time-fractional systems.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130500"},"PeriodicalIF":2.8000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational analysis of a normalized time-fractional Fokker–Planck equation\",\"authors\":\"Jian Wang ,&nbsp;Keyong Chen ,&nbsp;Junseok Kim\",\"doi\":\"10.1016/j.physa.2025.130500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We propose a normalized time-fractional Fokker–Planck equation (TFFPE). A finite difference method is used to develop a computational method for solving the equation, and the system’s dynamics are investigated through computational simulations. The proposed model demonstrates accuracy and efficiency in approximating analytical solutions. Numerical tests validate the method’s effectiveness and highlight the impact of various fractional orders on the dynamics of the normalized time-fractional Fokker–Planck equation. The numerical tests emphasize the significant impact of different fractional orders on the temporal evolution of the system. Specifically, the computational results demonstrate how varying the fractional order influences the diffusion process, with lower orders exhibiting stronger memory effects and slower diffusion, while higher orders lead to faster propagation and a transition towards classical diffusion behavior. This work contributes to the understanding of fractional dynamics and provides a robust tool for simulating time-fractional systems.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"665 \",\"pages\":\"Article 130500\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica A: Statistical Mechanics and its Applications\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378437125001529\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125001529","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

我们提出了一个标准化的时间分数Fokker-Planck方程。采用有限差分法建立了求解该方程的计算方法,并通过计算仿真研究了系统的动力学特性。所提出的模型在逼近解析解方面具有准确性和效率。数值试验验证了该方法的有效性,并突出了不同分数阶对归一化时间分数Fokker-Planck方程动力学的影响。数值试验强调了不同分数阶对系统时间演化的显著影响。具体来说,计算结果表明分数阶的变化如何影响扩散过程,低阶表现出更强的记忆效应和更慢的扩散,而高阶导致更快的传播和向经典扩散行为的过渡。这项工作有助于理解分数动力学,并为模拟时间分数系统提供了一个强大的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational analysis of a normalized time-fractional Fokker–Planck equation
We propose a normalized time-fractional Fokker–Planck equation (TFFPE). A finite difference method is used to develop a computational method for solving the equation, and the system’s dynamics are investigated through computational simulations. The proposed model demonstrates accuracy and efficiency in approximating analytical solutions. Numerical tests validate the method’s effectiveness and highlight the impact of various fractional orders on the dynamics of the normalized time-fractional Fokker–Planck equation. The numerical tests emphasize the significant impact of different fractional orders on the temporal evolution of the system. Specifically, the computational results demonstrate how varying the fractional order influences the diffusion process, with lower orders exhibiting stronger memory effects and slower diffusion, while higher orders lead to faster propagation and a transition towards classical diffusion behavior. This work contributes to the understanding of fractional dynamics and provides a robust tool for simulating time-fractional systems.
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
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
×
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