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Effect of Bacterial Memory Dependent Growth by Using Fractional Derivatives Reaction-Diffusion Chemotactic Model

机译:分数导数反应-扩散趋化模型对细菌记忆依赖性生长的影响

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In this paper, numerical solutions of a reaction-diffusion chemotactic model of fractional orders for bacterial growth will be present. A new solution is constructed in power series. The fractional derivatives are described in the Caputo sense. We compare the experimental result obtained with those obtained by simulation of the chemotactic model without fractional derivatives. The results show that the solution continuously depends on the time-fractional derivative. The resulting solutions spread faster than the classical solutions and may exhibit asymmetry, depending on the fractional derivative used. We present results of numerical simulations to illustrate the method, and investigate properties of numerical solutions. The Adomian's decomposition method (ADM) is used to find the approximate solution of fractional 'reaction-diffusion chemotactic model. Numerical results show that the approach is easy to implement and accurate when applied to partial differential equations of fractional order.
机译:在本文中,将给出分数阶细菌生长的反应扩散趋化模型的数值解。幂级数构造了一个新的解决方案。分数导数在Caputo的意义上进行了描述。我们将获得的实验结果与通过模拟没有分数导数的趋化模型获得的结果进行比较。结果表明,解一直取决于时间分数导数。所得解决方案的扩散速度比经典解决方案快,并且可能会显示不对称性,具体取决于所使用的分数导数。我们提供数值模拟的结果来说明该方法,并研究数值解的性质。使用Adomian分解法(ADM)来找到分数'反应扩散化学趋化模型的近似解。数值结果表明,该方法适用于分数阶偏微分方程,易于实现且准确。

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