用分数阶Chebyshev多项式近似解的COVID-19生长分数阶动力系统的可解性和稳定性。

IF 4.1 3区 数学 Q1 Mathematics Advances in Difference Equations Pub Date : 2020-01-01 Epub Date: 2020-07-08 DOI:10.1186/s13662-020-02791-x
Samir B Hadid, Rabha W Ibrahim, Dania Altulea, Shaher Momani
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引用次数: 9

摘要

最近,许多研究都介绍了COVID-19的种群动态。在本研究中,我们利用分数阶微积分推广了生长的不同物理条件。我们研究了一个耦合微分方程组,它描述了感染型和无症状型之间感染传播的动力学。由于社会会议的关系,对健康人群属性进行了测量。这一结果与人口的宏观规律有关。该动态系统适合于描述感染增长率的表现,并验证其控制是否适当。研究了自映射属性下的一个唯一解。利用切比雪夫多项式的分数阶积分给出了近似解。我们的方法基于Atangana-Baleanu演算,该演算在模拟中提供了各种活动结果。我们使用实时数据对建议的系统进行了测试。我们在图表中发现了积极的行动。
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Solvability and stability of a fractional dynamical system of the growth of COVID-19 with approximate solution by fractional Chebyshev polynomials.

Lately, many studies were offered to introduce the population dynamics of COVID-19. In this investigation, we extend different physical conditions of the growth by employing fractional calculus. We study a system of coupled differential equations, which describes the dynamics of the infection spreading between infected and asymptomatic styles. The healthy population properties are measured due to the social meeting. The result is associated with a macroscopic law for the population. This dynamic system is appropriate to describe the performance of growth rate of the infection and to verify if its control is appropriately employed. A unique solution, under self-mapping possessions, is investigated. Approximate solutions are presented by utilizing fractional integral of Chebyshev polynomials. Our methodology is based on the Atangana-Baleanu calculus, which provides various activity results in the simulation. We tested the suggested system by using live data. We found positive action in the graphs.

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来源期刊
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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.
期刊最新文献
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