具有频率加权合的三维库拉莫托模型的可解决动态
1School of Mathematical Sciences, South China Normal University, Guangzhou 510631, China.
Physical review. E
|April 18, 2024
概括
动态网络中的异质合是常见的. 本研究分析了3D库拉莫托模型,发现不连贯性是不稳定的,并使用自我一致性方法预测全球连贯性,并通过模拟验证.
科学领域:
- 复杂的系统复杂的系统.
- 动态网络 是一个动态网络.
- 统计物理 统计物理
背景情况:
- 合异质性是许多相互作用代理的系统的自然特征.
- 库拉莫托模型是研究网络同步的标准框架.
研究的目的:
- 为了研究3D库拉莫托模型与异质合的动态.
- 从理论上预测这些系统的全球连贯性程度.
主要方法:
- 一个不连贯状态的线性稳定性分析.
- 开发一种自我一致性方法来预测连贯性.
- 数字模拟用于验证理论预测.
主要成果:
- 对不连贯性不稳定的关键合强度被严格推导为零.
- 为正合强度开发了全球连贯度的理论预测.
- 理论分析显示与数值模拟有很好的一致性.
结论:
- 不同质的联接显著影响动态网络的集体行为.
- 开发的自我一致性方法为理解复杂系统中的连贯性提供了有价值的工具.
- 这项工作加深了对异质合的高维网络中出现的集体行为的理解.
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