Bifurcation Analysis of a Nonlinear Genetic Network Model with Time Delay

Anael Verdugo
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Abstract

This paper presents a bifurcation study of a mRNA-protein network with negative feedback and time delay. The network is modeled as a coupled system of N ordinary differential equations (ODEs) and N delay differential equations (DDEs). Linear analysis of the stable equilibria shows the existence of a critical time delay beyond which limit cycle oscillations are born in a Hopf bifurcation. The Poincaré-Lindstedt perturbation method is applied to the nonlinear system, resulting in closed form approximate expressions for the amplitude and frequency of oscillation. We confirm our perturbation analysis results by numerically simulating the full 2N-dimensional nonlinear system for N = 2, 7, 15, and 30. Our results show that for small perturbations the equilibrium undergoes a supercritical Hopf and the system exhibits stable periodic solutions. Furthermore, our closed form numerical expressions exhibit the importance of the network’s negative feedback and nonlinear effects.
一类时滞非线性遗传网络模型的分岔分析
本文对具有负反馈和时滞的mrna -蛋白网络进行了分岔研究。将网络建模为N个常微分方程(ode)和N个延迟微分方程(DDEs)的耦合系统。对稳定平衡点的线性分析表明,在Hopf分岔中存在一个临界时滞,超过该时滞就会产生极限环振荡。将poincar - lindstedt摄动法应用于非线性系统,得到了振动幅值和频率的封闭近似表达式。我们通过数值模拟N = 2、7、15和30的全2n维非线性系统来证实我们的微扰分析结果。我们的结果表明,在小扰动下,平衡态经历了一个超临界霍普夫,系统具有稳定的周期解。此外,我们的封闭形式数值表达式显示了网络的负反馈和非线性效应的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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