具有多内存指标的高维物理模型:解析解与收敛分析。

IF 4.1 3区 数学 Q1 Mathematics Advances in Difference Equations Pub Date : 2020-01-01 Epub Date: 2020-07-16 DOI:10.1186/s13662-020-02822-7
Imad Jaradat, Marwan Alquran, Ruwa Abdel-Muhsen, Shaher Momani, Dumitru Baleanu
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引用次数: 2

摘要

本工作的目的是分析模拟高维物理模型中时空卡普托分数阶导数参数存在的相互影响。为此,我们采用γ′-Maclaurin级数以及幂级数技术的一种修正。为了补充我们的思想,我们给出了关于γ′-Maclaurin级数的必要的收敛性分析。在应用方面,我们用一个快速收敛的γ -Maclaurin级数求解了具有时空Caputo分数导数的高维热波模型。该方法执行得非常好,并且得到的解在整数空间中的投影与文献中可用的解兼容。最后,图形分析表明,卡普托分数阶导数可能反映了一些记忆特性。
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Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis.

The purpose of this work is to analytically simulate the mutual impact for the existence of both temporal and spatial Caputo fractional derivative parameters in higher-dimensional physical models. For this purpose, we employ the γ̅-Maclaurin series along with an amendment of the power series technique. To supplement our idea, we present the necessary convergence analysis regarding the γ̅-Maclaurin series. As for the application side, we solved versions of the higher-dimensional heat and wave models with spatial and temporal Caputo fractional derivatives in terms of a rapidly convergent γ̅-Maclaurin series. The method performed extremely well, and the projections of the obtained solutions into the integer space are compatible with solutions available in the literature. Finally, the graphical analysis showed a possibility that the Caputo fractional derivatives reflect some memory characteristics.

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来源期刊
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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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