在参数噪声下,在分支层次系统中出现同步集群的稳定性
Anupama Roy1, Sudeshna Sinha1, Neelima Gupte2
1Indian Institute of Science Education and Research Mohali, Manauli PO 140306, India.
Chaos (Woodbury, N.Y.)
|April 10, 2024
概括
噪音影响等级网络中的同步集群. 虽然主要集群保持稳定,但较小的集群表现出不同的噪声灵敏度,影响其尺寸分布. 这对现实世界的系统有影响.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 非线性动力学是一种非线性动力学.
背景情况:
- 网络的动态稳定性对于基础科学和应用科学至关重要.
- 了解噪音对网络同步的影响对于现实应用至关重要.
研究的目的:
- 为了研究参数噪声对Chaté-Manneville地图中的同步集群对等级结构的影响.
- 分析不同噪音条件下的同步集群出现和大小分布的稳定性.
主要方法:
- 在分支层次网络上模拟扩散合的Chaté-Manneville地图.
- 包括灭和动态变化的参数噪声.
- 对集群大小分布和缩放指数的分析.
主要成果:
- 过渡到最大集群上的同步固定点对两种噪音类型都是强大的.
- 小小的次最大集群表现出功率定律的大小分布,在许多合强度中对噪声强大.
- 一个特定的合强度窗口揭示了差异噪声灵敏度:小集群的缩放指数取决于噪声,而最大集群的大小基本上不受影响.
结论:
- 在等级网络中同步的集群形成表现出对噪音的复杂反应.
- 最大与次最大集群的不同噪声灵敏度对观察现实世界网络中的同步模式有影响.
- 这些发现与理解神经网络,电网和通信系统中具有内在参数波动的现象有关.
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