惯性对无序的库拉莫托模型异步状态的影响
Yagmur Kati1,2, Ralf Toenjes1, Benjamin Lindner1,2
1Humboldt-Universität zu Berlin, Department of Physics, Newtonstrasse 15, 12489 Berlin, Germany.
Physical review. E
|November 18, 2025
概括
惯性显著影响无序的库拉莫托模型的异步状态. 中间振荡器质量最大限度地减少了相关性时间,并平整了功率光谱,类似于白噪声.
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:
- 库拉莫托模型是研究合振荡器系统同步的标准框架.
- 了解惯性的影响对于描述现实世界的网络动态至关重要.
研究的目的:
- 为了研究惰性的作用在一个无序的库拉莫托模型的异步状态.
- 开发和验证一个模拟方案,用于分析惯性库拉莫托网络中的波动统计.
主要方法:
- 一个代模拟方案的扩展,包括振荡器惯性.
- 计算自我一致的波动统计数据,包括网络噪声和单个振荡器的功率光谱.
- 与直接网络模拟进行比较,以验证代方案.
主要成果:
- 代模拟方案准确地捕捉了异步动态.
- 观察到一个意想不到的效果:相关性时间和利亚普诺夫光谱在中间振荡器质量时呈现最小值.
- 在这种中间质量下,功率光谱变得更平,类似于白噪声.
结论:
- 惯性在无序的库拉莫托网络的异步动态中起着至关重要的作用.
- 相关时间的确定最小值表明在中间惯性时有一个独特的动态状态.
- 这些发现提供了对惯性系统中的网络噪声和振荡器行为的见解.
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