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arXiv 2007.08879math.DS
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时间尺度上动力系统的矩阵测度、稳定性和压缩性理论

Matrix measures, stability and contraction theory for dynamical systems on time scales

Giovanni Russo, Fabian Wirth

摘要:

本文研究在时间尺度上演化的动力系统的稳定性。我们首先{形式化了时间尺度上的矩阵测度的概念,证明了它们的一些关键性质,并利用这个概念来研究时间尺度上的线性和非线性动力系统。}具体而言,我们开始考虑线性时变系统,并为这些,我们证明了一个时间尺度类似的上界由于科佩尔。我们利用这个上界给出了线性时变系统的稳定性和输入-状态稳定性条件。{Then在第二章中,我们考虑了时间尺度上的非线性时变动力系统,并建立了解收敛的一个充分条件。最后,在将我们的结果与李雅普诺夫函数的存在性联系起来之后,我们利用我们的方法来研究某些流行病动力学和复杂网络。对于前者,我们给出了一个关于时间尺度上SIQR模型参数的充分条件,保证其解收敛到无病解。对于后者,我们首先给出了复杂时间尺度网络钉扎可控的一个充分条件,然后利用这个条件研究了某些集体意见动力学。理论结果与仿真结果进行了补充。

英文摘要:

This paper is concerned with the study of the stability of dynamical systems evolving on time scales. We first {formalize the notion of matrix measures on time scales, prove some of their key properties and make use of this notion to study both linear and nonlinear dynamical systems on time scales.} Specifically, we start with considering linear time-varying systems and, for these, we prove a time scale analogous of an upper bound due to Coppel. We make use of this upper bound to give stability and input-to-state stability conditions for linear time-varying systems. {Then, we consider nonlinear time-varying dynamical systems on time scales and} establish a sufficient condition for the convergence of the solutions. Finally, after linking our results to the existence of a Lyapunov function, we make use of our approach to study certain epidemic dynamics and complex networks. For the former, we give a sufficient condition on the parameters of a SIQR model on time scales ensuring that its solutions converge to the disease-free solution. For the latter, we first give a sufficient condition for pinning controllability of complex time scale networks and then use this condition to study certain collective opinion dynamics. The theoretical results are complemented with simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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