非局部相互作用对非局部耦合斯图尔特-朗道振子嵌合体态的影响

IF 0.7 4区 数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
K. Premalatha, R. Amuda, V. K. Chandrasekar, M. Senthilvelan, M. Lakshmanan
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引用次数: 0

摘要

研究了耦合项中包含对称破缺的非局部耦合Stuart-Landau振子中集体动力学态的存在性。我们发现非局域相互作用半径和非等时性参数在通过振幅嵌合态识别同步态的摆动中起着重要作用。集体动力学状态是借助非相干强度来区分的。从非局部耦合半径角度分析了多嵌合体死亡状态的不同过渡路径。此外,通过在系统中引入高阶非线性项,研究了行波态、振幅嵌合体态和多嵌合体死亡态等集体动力学状态的存在性。我们还验证了耦合系统的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Nonlocal Interaction on Chimera States in Nonlocally Coupled Stuart-Landau Oscillators
We investigate the existence of collective dynamical states in nonlocally coupled Stuart–Landau oscillators with symmetry breaking included in the coupling term. We find that the radius of nonlocal interaction and nonisochronicity parameter play important roles in identifying the swing of synchronized states through amplitude chimera states. Collective dynamical states are distinguished with the help of strength of incoherence. Different transition routes to multi-chimera death states are analyzed with respect to the nonlocal coupling radius. In addition, we investigate the existence of collective dynamical states including traveling wave state, amplitude chimera state and multi-chimera death state by introducing higher-order nonlinear terms in the system. We also verify the robustness of the given notable properties for the coupled system.
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来源期刊
Advances in Complex Systems
Advances in Complex Systems 综合性期刊-数学跨学科应用
CiteScore
1.40
自引率
0.00%
发文量
121
审稿时长
6-12 weeks
期刊介绍: Advances in Complex Systems aims to provide a unique medium of communication for multidisciplinary approaches, either empirical or theoretical, to the study of complex systems. The latter are seen as systems comprised of multiple interacting components, or agents. Nonlinear feedback processes, stochastic influences, specific conditions for the supply of energy, matter, or information may lead to the emergence of new system qualities on the macroscopic scale that cannot be reduced to the dynamics of the agents. Quantitative approaches to the dynamics of complex systems have to consider a broad range of concepts, from analytical tools, statistical methods and computer simulations to distributed problem solving, learning and adaptation. This is an interdisciplinary enterprise.
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