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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >A numerical solution for a variable-order reaction-diffusion model by using fractional derivatives with non-local and non-singular kernel
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A numerical solution for a variable-order reaction-diffusion model by using fractional derivatives with non-local and non-singular kernel

机译:通过使用非局部和非单数内核的分数衍生物使用分数衍生物的可变阶反应扩散模型的数值解决方案

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摘要

A reaction-diffusion system can be represented by the Gray-Scott model. The reaction diffusion dynamic is described by a pair of time and space dependent Partial Differential Equations (PDEs). In this paper, a generalization of the Gray-Scott model by using variable order fractional differential equations is proposed. The variable-orders were set as smooth functions bounded in (0, 1] and, specifically, the Liouville-Caputo and the Atangana-Baleanu-Caputo fractional derivatives were used to express the time differentiation. In order to find a numerical solution of the proposed model, the finite difference method together with the Adams method were applied. The simulations results showed the chaotic behavior of the proposed model when different variable-orders are applied. (C) 2017 Elsevier B.V. All rights reserved.
机译:反应扩散系统可以由灰·斯科特模型表示。 反应扩散动态由一对时间和空间依赖性部分微分方程(PDE)描述。 在本文中,提出了利用可变阶分形差分方程的灰·斯科特模型的概括。 变量订单被设置为(0,1]中界定的平滑功能,具体而言,Liouville-Caputo和Atangana-Baleanu-Caputo分数衍生物用于表达时间分化。为了找到一个数字解决方案 提出的模型,应用了与ADAMS方法一起的有限差分方法。模拟结果显示了当应用不同的可变订单时所提出的模型的混沌行为。(c)2017年Elsevier BV保留所有权利。

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