THE CAPUTO EQUATION AS A MODEL OF PARTICLE SPREADING IN A NON-CLASSICAL DIFFUSION PROCESS: A SPECIAL CASE

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Abstract

The main objective of this article is to present the application of the Mittag-Leffler function in anomalous diffusion modeling using the Caputo equation. Anomalous diffusion refers to non-classical diffusion processes in which traditional models fail to accurately capture the dynamics. The Caputo equation, which involves a fractional derivative of order in the Caputo sense, provides a powerful tool for describing these types of phenomena. The model we consider in this research presents particle diffusion , which represents the concentration or density of particles at position and time . The Laplacian operator captures the spatial diffusion process, and the diffusion coefficient governs the diffusion rate. An important aspect of this study is the integration of the Mittag-Leffler function, which arises in the solution of the Caputo equation. By solving the Caputo equation with the appropriate initial and boundary conditions, the concentration profile is obtained. The Mittag-Leffler function plays a key role in this solution because it accurately captures the memory-dependent behavior and the nonlocal nature of anomalous diffusion. A distinctive feature of this model is the presence of the fractional derivative of order in the Caputo sense, which captures the memory-dependent behavior and non-local nature of the diffusion process, allowing the representation of anomalous diffusion phenomena. In this paper, an important contribution is evidenced in the use of the Mittag-Leffler function to explore the behavior of anomalous diffusion processes and obtain information about the complex dynamics of particle propagation in various physical systems. Keywords: The Mittag-Leffler Function, Fractional Derivative, Anomalous Diffusion Processes, The Caputo Equation DOI: https://doi.org/10.35741/issn.0258-2724.58.4.91
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卡普托方程作为非经典扩散过程中粒子扩散的模型:一个特例
本文的主要目的是介绍Mittag-Leffler函数在使用Caputo方程的异常扩散建模中的应用。反常扩散是指传统的扩散模型不能准确地捕捉动力学的非经典扩散过程。卡普托方程包含了卡普托意义上的阶导数分数,它为描述这类现象提供了一个强有力的工具。我们在本研究中考虑的模型是粒子扩散,它表示粒子在位置和时间上的浓度或密度。拉普拉斯算子捕捉空间扩散过程,扩散系数控制扩散速率。本研究的一个重要方面是在求解卡普托方程时出现的Mittag-Leffler函数的积分。通过在适当的初始条件和边界条件下求解卡普托方程,得到了浓度分布曲线。Mittag-Leffler函数在此解决方案中起着关键作用,因为它准确地捕获了异常扩散的记忆依赖行为和非局部性质。该模型的一个显著特征是存在卡普托意义上的阶导数分数,它捕捉了扩散过程的记忆依赖行为和非局部性质,允许表示异常扩散现象。在本文中,证明了一个重要的贡献是使用Mittag-Leffler函数来探索异常扩散过程的行为,并获得有关各种物理系统中粒子传播的复杂动力学信息。关键词:Mittag-Leffler函数,分数阶导数,反常扩散过程,卡普托方程DOI: https://doi.org/10.35741/issn.0258-2724.58.4.91
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