马科维进化的随机稀疏生成器及其光谱特性
Goran Nakerst1, Sergey Denisov2,3, Masudul Haque1,4
1Institut für Theoretische Physik, Technische Universität Dresden, D-01062 Dresden, Germany.
Physical review. E
|August 16, 2023
概括
我们引入随机稀疏矩阵来建模复杂系统动态. 稀疏性影响光谱属性,缩小了马科维进化发生器中的差距,揭示了普遍的光谱行为.
科学领域:
- 复杂系统的动态 复杂系统的动态
- 统计物理学的统计物理.
- 随机矩阵理论是随机矩阵理论.
背景情况:
- 复杂的多态系统往往遵循连续时间的马科夫过程.
- 放松动态的建模需要马科维进化的生成器.
- 非散的随机生成器表现出很大的光谱差距.
研究的目的:
- 介绍一个随机稀疏矩阵集,用于建模马克夫进化.
- 为了研究稀疏性对发电机矩阵光谱的影响.
- 分析光谱差距和本值分布作为稀疏性的函数.
主要方法:
- 随机稀疏矩阵集与受控稀疏度 (参数 φ).
- 通过拉普拉西安对随机权重的定向正则图形进行表征.
- 极端价值理论用于分析光谱边缘的应用.
- 对超稀疏发电机的复杂间距比统计的分析.
主要成果:
- 稀疏性关闭了非稀疏发电机的特征的大光谱差距.
- 固有值分布尺度的第一个时刻为∼φ;方差尺度为∼sqrt[φ].
- 光谱边缘的形状取决于重量分布的尾巴;光谱间隙的行为被澄清为D的函数.
- 超散发电机 (φ2) 呈现出类似于基尼布尔直角组合的普遍光谱特性.
结论:
- 稀疏度是决定马科维进化发生器的光谱特性的一个关键因素.
- 引入的合奏提供了一个可调的模型,用于研究复杂系统中的放松动态.
- 这些发现提供了关于在稀疏随机矩阵中向普遍光谱行为过渡的见解.
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