对于具有异质温度的奥恩斯坦-乌伦贝克过程的共变矩阵的随机矩阵组合
Leonardo S Ferreira1, Fernando L Metz1, Paolo Barucca2
1Federal University of Rio Grande do Sul, Physics Institute, 91501-970 Porto Alegre, Brazil.
Physical review. E
|February 20, 2025
概括
本研究介绍了复杂系统的随机矩阵模型,揭示了多变量奥恩斯坦-乌伦贝克过程中稳定和不稳定状态之间的过渡. 该模型预测了光谱密度的变化,提供了对实证相关性矩阵的见解.
科学领域:
- 统计物理 统计物理
- 复杂系统分析 复杂系统分析
- 随机矩阵理论 随机矩阵理论
背景情况:
- 多变量奥恩斯坦-乌伦贝克过程对于模拟具有多个相互作用变量的动态系统至关重要.
- 了解静态共变率及其光谱属性对于分析系统稳定性和行为至关重要.
- 不同质的温度带来了复杂性,影响了系统的平衡状态.
研究的目的:
- 开发一个随机矩阵模型,用于异质温度的多变量奥恩斯坦-乌伦贝克过程的静态共变量.
- 分析等时和滞后共变矩阵的光谱密度.
- 确定稳定和不稳定状态之间的过渡,并描述边际稳定的光谱性质.
主要方法:
- 利用由西尔维斯特 - 利亚普诺夫方程所约束的随机矩阵模型.
- 使用复制方法计算共变矩阵的光谱密度.
- 确定了分离稳定和不稳定政权的关键线.
主要成果:
- 该模型显示稳定和不稳定状态之间的过渡,由光谱密度的变化表明.
- 在稳定的状态下,光谱密度具有有限的正支持;不稳定的状态显示负的固有值.
- 在边际稳定下,光谱密度呈现出一个有温度独立指数的功率定律尾部.
结论:
- 开发的随机矩阵模型准确地描述了复杂系统中静止共变量的光谱性质.
- 这些发现为理解具有异质参数的动态系统中的相位过渡提供了理论框架.
- 该模型在分析各种科学领域的实证相关性矩阵方面提供了潜在的应用.
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