新型冠状病毒肺炎的Caputo分数阶模型分析

IF 4.1 3区 数学 Q1 Mathematics
Advances in Difference Equations Pub Date : 2020-01-01 Epub Date: 2020-08-03 DOI:10.1186/s13662-020-02853-0
Idris Ahmed, Isa Abdullahi Baba, Abdullahi Yusuf, Poom Kumam, Wiyada Kumam
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引用次数: 74

摘要

目前可用的控制措施之一,如果要成功实施,被认为是遏制冠状病毒传播最可靠的方法,那就是封锁。本文建立了分数阶数学模型,研究了封城对减缓病毒传播的意义。该模型由五个卡普托意义上的非线性分数阶微分方程组成。此外,利用著名的Schauder和Banach固定定理技术,检验了封封条件下分数阶冠状病毒模型解的存在唯一性,并讨论了Ulam-Hyers准则和广义Ulam-Hyers准则下的稳定性分析。采用分数欧拉法这一著名而有效的数值格式来分析所考虑模型的近似解和动力学行为。值得注意的是,与最近进行的许多研究不同,在经典模型的分馏过程中考虑了维度一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Caputo fractional-order model for COVID-19 with lockdown.

One of the control measures available that are believed to be the most reliable methods of curbing the spread of coronavirus at the moment if they were to be successfully applied is lockdown. In this paper a mathematical model of fractional order is constructed to study the significance of the lockdown in mitigating the virus spread. The model consists of a system of five nonlinear fractional-order differential equations in the Caputo sense. In addition, existence and uniqueness of solutions for the fractional-order coronavirus model under lockdown are examined via the well-known Schauder and Banach fixed theorems technique, and stability analysis in the context of Ulam-Hyers and generalized Ulam-Hyers criteria is discussed. The well-known and effective numerical scheme called fractional Euler method has been employed to analyze the approximate solution and dynamical behavior of the model under consideration. It is worth noting that, unlike many studies recently conducted, dimensional consistency has been taken into account during the fractionalization process of the classical model.

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来源期刊
自引率
0.00%
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0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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