振动遗传网络噪声评价的周期Lyapunov微分方程

Sho Ichikawa, Y. Ito, K. Uchida
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引用次数: 3

摘要

Lyapunov方程将系统的随机变化描述为协方差方程,在评估和预测受分子噪声波动的遗传调控网络的行为方面起着核心作用。当遗传网络是一个自主振荡系统时,李雅普诺夫方程就变成了具有一般无界解的周期微分方程。利用Floquet-Lyapunov理论,讨论了周期Lyapunov微分方程解的轨道稳定性和周期性质,并提出了两种评价整个周期轨迹随机涨落的全局测度。并给出了周期波动的评价公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Periodic Lyapunov differential equation for noise evaluation in oscillatory genetic networks
The Lyapunov equation, which describes stochastic variations of systems as a covariance equation, plays a central role in evaluation and prediction of behavior of genetic regulatory networks fluctuated by molecular noises. When the genetic network is an autonomously oscillatory system, the Lyapunov equation becomes a periodic differential equation that has generally unbounded solutions. We discuss orbital stability and periodicity properties of the solutions to the periodic Lyapunov differential equation by using Floquet-Lyapunov theory, and propose two global measures for evaluating stochastic fluctuations of the whole periodic trajectory. We also provide an evaluation formula for the period fluctuation.
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