求解分数阶Volterra积分微分方程和Abel积分方程的移位Legendre分数阶伪谱积分矩阵

IF 3.3 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Fractals-Complex Geometry Patterns and Scaling in Nature and Society Pub Date : 2023-10-27 DOI:10.1142/s0218348x23401904
M. Abdelhakem
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引用次数: 0

摘要

将移位勒让德多项式(slp)与Riemann-Liouville分数阶积分算子结合,建立了一种新的分数阶积分工具。这个工具将被称为分数移位勒让德积分矩阵(FSL - b矩阵)。基于该矩阵设计了两种算法来求解两种不同类型的积分方程。第一种算法是求解具有非奇异核的分数阶Volterra积分微分方程(VIDEs)。第二个算法是针对阿贝尔积分方程的。此外,对谱展开进行了误差分析,保证了谱展开的收敛性。最后,给出了几个例子,包括人口模型的一个应用。
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Shifted Legendre Fractional Pseudo-spectral Integration Matrices for Solving Fractional Volterra Integro-Differential Equations and Abel's Integral Equations
Shifted Legendre polynomials (SLPs) with the Riemann–Liouville fractional integral operator have been used to create a novel fractional integration tool. This tool will be called the fractional shifted Legendre integration matrix (FSL B-matrix). Two algorithms depending on this matrix are designed to solve two different types of integral equations. The first algorithm is to solve fractional Volterra integro-differential equations (VIDEs) with a non-singular kernel. The second algorithm is for Abel’s integral equations. In addition, error analysis for the spectral expansion has been proven to ensure the expansion’s convergence. Finally, several examples have been illustrated, including an application for the population model.
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来源期刊
CiteScore
7.40
自引率
23.40%
发文量
319
审稿时长
>12 weeks
期刊介绍: The investigation of phenomena involving complex geometry, patterns and scaling has gone through a spectacular development and applications in the past decades. For this relatively short time, geometrical and/or temporal scaling have been shown to represent the common aspects of many processes occurring in an unusually diverse range of fields including physics, mathematics, biology, chemistry, economics, engineering and technology, and human behavior. As a rule, the complex nature of a phenomenon is manifested in the underlying intricate geometry which in most of the cases can be described in terms of objects with non-integer (fractal) dimension. In other cases, the distribution of events in time or various other quantities show specific scaling behavior, thus providing a better understanding of the relevant factors determining the given processes. Using fractal geometry and scaling as a language in the related theoretical, numerical and experimental investigations, it has been possible to get a deeper insight into previously intractable problems. Among many others, a better understanding of growth phenomena, turbulence, iterative functions, colloidal aggregation, biological pattern formation, stock markets and inhomogeneous materials has emerged through the application of such concepts as scale invariance, self-affinity and multifractality. The main challenge of the journal devoted exclusively to the above kinds of phenomena lies in its interdisciplinary nature; it is our commitment to bring together the most recent developments in these fields so that a fruitful interaction of various approaches and scientific views on complex spatial and temporal behaviors in both nature and society could take place.
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