Influence of high order nonlinearity on chaotic bursting structure in slow–fast dynamics

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-03-05 DOI:10.1016/j.chaos.2025.116222
Yeqiang Chen , Miaorong Zhang , Xiaofang Zhang , Qinsheng Bi
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Abstract

Nonlinear truncation based on Taylor expansion has widely been used for the analysis of a real model, while the order of truncation may lead to different behaviors. This paper devotes to investigate the influence of the cubic and fifth order nonlinearity on the bursting oscillations in a relatively simple slow–fast chaotic model. To reveal the characteristics of spiking oscillations, we propose a new type of cross-section based on the excitation, which can be used to compute the projections of Poincaré map conveniently. Higher order nonlinear term may result in more fine structures in a chaotic bursting attractor, implying the trajectory for spiking state alternates between more types of regular oscillations and chaos in turn. Since there exist two choices when the trajectory moving along an equilibrium branches to a pitchfork bifurcation point, it needs two neighboring periods of excitation for the trajectory to finish one cycle of the quiescent and spiking state.
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慢-快动力学中高阶非线性对混沌爆破结构的影响
基于Taylor展开的非线性截断已被广泛应用于实际模型的分析,而截断的顺序可能导致不同的行为。本文研究了一个相对简单的慢-快混沌模型中三阶和五阶非线性对爆破振荡的影响。为了揭示尖峰振荡的特征,我们提出了一种新的基于激励的截面,它可以方便地计算庞卡罗图的投影。高阶非线性项可以在混沌爆发吸引子中产生更精细的结构,这意味着尖峰态的轨迹在更多类型的规则振荡和混沌之间交替。由于轨迹沿平衡分支运动到干草叉分叉点时存在两种选择,因此轨迹需要两个相邻的激励周期才能完成静止和尖峰状态的一个周期。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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