Coexistence of multistable synchronous states in a three-oscillator system with higher-order interaction

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Xuan Wang, Haihong Li, Qionglin Dai, Junzhong Yang
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引用次数: 0

Abstract

We study a three-oscillator system with pairwise (1-simplex) and triadic (2-simplex) interactions, and focus on how the interplay between these two types of interactions influences synchronous dynamics. Using a minimal model, dynamical phenomena in systems that have been previously studied under the thermodynamic limit (N) are further clarified. Various synchronous states, including in-phase and antiphase synchronous states, as well as partial synchronous states are demonstrated. Meanwhile, significant multistable behaviors are revealed. Our work extends previous research on pairwise and triadic interactions, which can deepen our understanding of the impact of correlation between higher-order interaction and multistability. These dynamic phenomena bear resemblance to the diverse synchronization patterns of the heart, and they also serve as pivotal factors in information storage and memory retention within the brain.

Abstract Image

具有高阶相互作用的三振荡器系统中多稳同步状态的共存
我们研究了一个具有成对(1-simplex)和成三(2-simplex)相互作用的三振子系统,并重点探讨了这两种相互作用之间的相互作用如何影响同步动力学。利用一个最小模型,进一步阐明了以前在热力学极限(N→∞)下研究过的系统中的动力学现象。展示了各种同步状态,包括同相和反相同步状态,以及部分同步状态。同时,还揭示了重要的多稳态行为。我们的研究扩展了以往关于成对和三元相互作用的研究,加深了我们对高阶相互作用和多稳定性之间相关性影响的理解。这些动态现象与心脏的多种同步模式相似,也是大脑信息存储和记忆保持的关键因素。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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