时间离散无限仓本模型的均匀时间稳定性和连续转换

IF 2.4 2区 数学 Q1 MATHEMATICS
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引用次数: 0

摘要

我们研究的是从离散无限仓本模型到连续对应模型在整个时间间隔内的连续转换。离散无限仓本模型对应于通过一阶欧拉离散算法对无限仓本模型的离散化[18]。对于所提出的离散无限库拉莫托模型,我们在一个合适的框架下(该框架由系统参数和初始数据构成)研究了与初始数据相关的突发动力学和均匀(-时间内)稳定性。对于具有相同固有频率的同质集合,我们确定了 "准稳态 "和完全同步存在的充分条件。相反,对于异质集合体,我们还提供了一种弱新兴动力学,即 "实用同步"。对于零时步极限的连续转换,我们提供了一种改进的截断误差估计,与利用均匀稳定性和突发动力学从一阶离散模型的一般理论中得到的误差估计相比,截断误差估计有所改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uniform-in-time stability and continuous transition of the time-discrete infinite Kuramoto model

We study a continuous transition from the discrete infinite Kuramoto model to the continuous counterpart in a whole time interval. The discrete infinite Kuramoto model corresponds to the discretization of the infinite Kuramoto model [18] via the first-order Euler discretization algorithm. For the proposed discrete infinite Kuramoto model, we study the emergent dynamics and uniform (-in-time) stability with respect to initial data under a suitable framework which is formulated in terms of system parameters and initial data. For a homogeneous ensemble with the same natural frequencies, we identify sufficient conditions for the existence of “quasi-stationary state” and complete synchronization. In contrast, for a heterogeneous ensemble, we also provide a weak emergent dynamics, namely “practical synchronization”. For the continuous transition in a zero time-step limit, we provide an improved truncation error estimate compared to the error estimate which can be obtained from the general theory for first-order discretized model using the uniform stability and emergent dynamics.

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来源期刊
CiteScore
4.40
自引率
8.30%
发文量
543
审稿时长
9 months
期刊介绍: The Journal of Differential Equations is concerned with the theory and the application of differential equations. The articles published are addressed not only to mathematicians but also to those engineers, physicists, and other scientists for whom differential equations are valuable research tools. Research Areas Include: • Mathematical control theory • Ordinary differential equations • Partial differential equations • Stochastic differential equations • Topological dynamics • Related topics
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