具有Neumann边界条件的线性反应亚扩散方程的最优估计

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Stochastics and Dynamics Pub Date : 2023-11-03 DOI:10.1142/s021949372340004x
Xiujun Cheng, Wenzhuo Xiong, Huiru Wang
{"title":"具有Neumann边界条件的线性反应亚扩散方程的最优估计","authors":"Xiujun Cheng, Wenzhuo Xiong, Huiru Wang","doi":"10.1142/s021949372340004x","DOIUrl":null,"url":null,"abstract":"In this paper, we apply classical non-uniform L1 formula and the compact difference scheme for solving linear fractional systems with Neumann boundary conditions. A novelty and simple demonstration strategy is presented on the convergence analysis in the discrete maximum norm. Moreover, based on the special properties of the resulting coefficient matrix, diagonalization technique and discrete cosine transform (DCT) are adopted to speed up the convergence rate of the proposed method. In addition, the numerical scheme is also extended to the three-dimensional (3D) case. Several numerical experiments are given to support our findings.","PeriodicalId":51170,"journal":{"name":"Stochastics and Dynamics","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Optimal Estimate for Linear Reaction Subdiffusion Equations with Neumann Boundary Conditions\",\"authors\":\"Xiujun Cheng, Wenzhuo Xiong, Huiru Wang\",\"doi\":\"10.1142/s021949372340004x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we apply classical non-uniform L1 formula and the compact difference scheme for solving linear fractional systems with Neumann boundary conditions. A novelty and simple demonstration strategy is presented on the convergence analysis in the discrete maximum norm. Moreover, based on the special properties of the resulting coefficient matrix, diagonalization technique and discrete cosine transform (DCT) are adopted to speed up the convergence rate of the proposed method. In addition, the numerical scheme is also extended to the three-dimensional (3D) case. Several numerical experiments are given to support our findings.\",\"PeriodicalId\":51170,\"journal\":{\"name\":\"Stochastics and Dynamics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastics and Dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s021949372340004x\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastics and Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s021949372340004x","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0

摘要

本文应用经典非一致L1公式和紧致差分格式求解具有Neumann边界条件的线性分数阶系统。提出了一种新颖、简单的离散极大范数收敛性分析论证策略。此外,根据所得系数矩阵的特殊性质,采用对角化技术和离散余弦变换(DCT)加快了该方法的收敛速度。此外,数值格式也推广到三维(3D)情况。给出了几个数值实验来支持我们的发现。
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
A Optimal Estimate for Linear Reaction Subdiffusion Equations with Neumann Boundary Conditions
In this paper, we apply classical non-uniform L1 formula and the compact difference scheme for solving linear fractional systems with Neumann boundary conditions. A novelty and simple demonstration strategy is presented on the convergence analysis in the discrete maximum norm. Moreover, based on the special properties of the resulting coefficient matrix, diagonalization technique and discrete cosine transform (DCT) are adopted to speed up the convergence rate of the proposed method. In addition, the numerical scheme is also extended to the three-dimensional (3D) case. Several numerical experiments are given to support our findings.
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
Stochastics and Dynamics
Stochastics and Dynamics 数学-统计学与概率论
CiteScore
1.70
自引率
0.00%
发文量
49
审稿时长
>12 weeks
期刊介绍: This interdisciplinary journal is devoted to publishing high quality papers in modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system''s point of view. Papers can be about theory, experiments, algorithms, numerical simulation and applications. Papers studying the dynamics of stochastic phenomena by means of random or stochastic ordinary, partial or functional differential equations or random mappings are particularly welcome, and so are studies of stochasticity in deterministic systems.
期刊最新文献
Quantum Synchronization for Stochastic Schrodinger-Lohe Model Stochastic Averaging Principle for Neutral Stochastic Functional Differential Equations Driven by G-Levy Process Viability for Impulsive Stochastic Differential Inclusions Driven by Fractional Brownian Motion Reflected stochastic differential equations driven by standard and fractional Brownian motion Dynamical behaviors of an impulsive stochastic neural field lattice model
×
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学术文献互助
Book学术文献互助群
群 号:481959085
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