序列Caputo分数阶微分方程与非序列Caputo分数阶微分方程的分析及其应用

A. Vatsala, Govinda Pageni, V. A. Vijesh
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引用次数: 5

摘要

众所周知,从建模的角度来看,分数阶动力学方程比整数阶导数模型更合适。事实上,分数动态方程被称为具有内存的方程。为了证明分数阶动态模型优于相应的整数模型,我们需要计算分数阶微分方程的解,并将其与相对于现有数据的整数模型进行比较。在本文中,我们将说明线性nq阶序列Caputo分数阶微分方程,它是q阶序列,其中q<1具有分数阶初始条件和/或边界条件。选择顺序分数阶动力方程的原因是常系数线性非顺序Caputo分数阶动力方程一般无法求解。用拉普拉斯变换方法求解了顺序Caputo分数初值问题。我们用分数边界条件计算了序列边值问题的格林函数。此外,对序列动力学方程的解可以得到q→1特殊情况下相应的整阶微分方程的解。
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 Sequential Caputo Fractional Differential Equations versus Non-Sequential Caputo Fractional Differential Equations with Applications
It is known that, from a modeling point of view, fractional dynamic equations are more suitable compared to integer derivative models. In fact, a fractional dynamic equation is referred to as an equation with memory. To demonstrate that the fractional dynamic model is better than the corresponding integer model, we need to compute the solutions of the fractional differential equations and compare them with an integer model relative to the data available. In this work, we will illustrate that the linear nq-order sequential Caputo fractional differential equations, which are sequential of order q where q<1 with fractional initial conditions and/or boundary conditions, can be solved. The reason for choosing sequential fractional dynamic equations is that linear non-sequential Caputo fractional dynamic equations with constant coefficients cannot be solved in general. We used the Laplace transform method to solve sequential Caputo fractional initial value problems. We used fractional boundary conditions to compute Green’s function for sequential boundary value problems. In addition, the solution of the sequential dynamic equations yields the solution of the corresponding integer-order differential equations as a special case as q→1.
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