RNA沉默的分数阶动力学模型的数值行为

A. El-Sayed, M. Khalil, A. Arafa, A. Sayed
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引用次数: 1

摘要

本文提出了一类带有记忆的RNA沉默的分数阶微分模型。我们还对平衡的稳定性进行了详细的分析,证明了本文所建立的模型具有非负解。数值解采用预测校正法处理分数阶导数。分数阶导数是用卡普托意义来描述的。数值模拟说明了结果。同时,数值模拟结果表明,用分数阶常微分方程(FODE)模拟RNA沉默现象比传统的整阶模型更有优势。
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Numerical behavior of a fractional order dynamical model of RNA silencing
A class of fractional-order differential models of RNA silencing with memory is presented in this paper. We also carry out a detailed analysis on the stability of equilibrium and we show that the model established in this paper possesses non-negative solutions. Numerical solutions are obtained using a predictor-corrector method to handle the fractional derivatives. The fractional derivatives are described in the Caputo sense. Numerical simulations are presented to illustrate the results. Also, the numerical simulations show that, modeling the phenomena of RNA silencing by fractional ordinary differential equations (FODE) has more advantages than classical integer-order modeling.
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