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复杂网络中随机共振的分解
Jonah E Friederich1, Everton S Medeiros2, Sabine H L Klapp1
1Technische Universität Berlin, Institut für Physik und Astronomie, Hardenbergstraße 36, 10623 Berlin, Germany.
Physical review. E
|August 19, 2025
概括
振荡器的局部缺陷可以破坏网络中的集体随机共振. 即使是一些非共振振荡器也可以显著影响整个网络的共振,这取决于它们的不相似性和网络结构.
科学领域:
- 复杂的系统复杂的系统.
- 非线性动力学是一种非线性动力学.
- 统计物理学的统计物理.
背景情况:
- 随机共振 (SR) 是网络系统中的集体现象.
- SR取决于振荡器的共振能力,网络合,信号振幅和噪声强度.
- 局部振荡器缺陷对整个网络的SR的影响还不太清楚.
研究的目的:
- 调查振荡器共振容量的局部缺陷是否可以破坏整个网络的随机共振.
- 分析非共振振荡器对集体SR现象的影响.
- 探索网络拓和合强度在维持或抑制SR中的作用.
主要方法:
- 在双井潜力中研究了复杂的双稳振荡器网络.
- 引入了一部分带有非共振潜在景观的振荡器.
- 分析了SR可持续性的依赖于非共振振荡器的数量和不相似性,网络拓和合强度.
主要成果:
- 打破SR所需的非共振振荡器的数量取决于它们与其他振荡器的不相似性.
- 网络拓和合强度在确定SR抗局部缺陷的强度方面发挥着至关重要的作用.
- 开发了一个低维确定性模型,该模型证实了网络模拟结果.
结论:
- 振荡器共振能力的局部缺陷确实可以破坏整个网络的随机共振.
- 系统对缺陷的弹性可以通过网络结构和合来调整.
- 调查结果提供了关于复杂网络中集体现象脆弱性和强度的见解.
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