离散时间食物链模型参数空间中拟周期虾的研究。

IF 3.3 2区 数学 Q1 MATHEMATICS, APPLIED Chaos Pub Date : 2025-02-01 DOI:10.1063/5.0233509
N C Pati, Prabal Datta, Bapan Ghosh
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引用次数: 0

摘要

在非线性动力系统的双参数空间中,虾是混沌状态中的规则岛。虽然周期虾的存在已被广泛报道,但最近的研究发现了准周期虾的存在。与周期对应物相比,准周期对应物需要相对高维的相空间才能存在,而且观察到它们也相当罕见。这个焦点问题的贡献深入研究了离散时间的准周期虾的存在和复杂的动力学,三种食物链模型的参数空间。通过高分辨率的稳定性图,我们揭示了准周期虾在系统不稳定状态下的普遍存在。我们广泛地研究了拟周期对虾的两个边界上的分岔特性。我们的分析表明,沿外边界,系统通过间歇性过渡到混沌,而沿内边界,观察到环面加倍和环面鼓泡现象,伴随着有限倍和鼓泡级联。本工作的另一个突出方面是在系统的一定参数空间中,自相似拟周期虾的无限级联沿水平方向自分布的准周期积累层和不同的拟周期(环面)添加序列的识别。
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Exploring quasi-periodic shrimps in the parameter space of a discrete-time food chain model.

Shrimps are islands of regularity within chaotic regimes in bi-parameter spaces of nonlinear dynamical systems. While the presence of periodic shrimps has been extensively reported, recent research has uncovered the existence of quasi-periodic shrimps. Compared to their periodic counterparts, quasi-periodic shrimps require a relatively higher-dimensional phase-space to come into existence and are also quite uncommon to observe. This Focus Issue contribution delves into the existence and intricate dynamics of quasi-periodic shrimps within the parameter space of a discrete-time, three-species food chain model. Through high-resolution stability charts, we unveil the prevalence of quasi-periodic shrimps in the system's unsteady regime. We extensively study the bifurcation characteristics along the two borders of the quasi-periodic shrimp. Our analysis reveals that along the outer border, the system exhibits transition to chaos via intermittency, whereas along the inner border, torus-doubling and torus-bubbling phenomena, accompanied by finite doubling and bubbling cascades, are observed. Another salient aspect of this work is the identification of quasi-periodic accumulation horizon and different quasi-periodic (torus) adding sequences for the self-distribution of infinite cascades of self-similar quasi-periodic shrimps along the horizon in certain parameter space of the system.

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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
期刊最新文献
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