马尔科夫跳跃过程的平稳状态概率,以过渡速率矩阵的权值为单位
1Department of Chemical Sciences, University of Padova, via Marzolo 1, I-35131 Padova, Italy.
The Journal of chemical physics
|June 21, 2024
概括
本研究提出了一个公式,用于计算马尔科夫跳跃过程中的稳定状态概率. 该公式明确使用跳跃率常数,帮助网络分析和控制.
科学领域:
- 化学动力学 化学动力学
- 统计力学 统计力学
- 网络理论 网络理论
背景情况:
- 许多动态系统可以被建模为具有有限数量的状态的马尔科夫跳跃过程.
- 计算稳定状态占用概率对于理解这些系统至关重要.
- 现有的计算方法往往缺乏对动力参数的明确依赖.
研究的目的:
- 在马尔科夫跳跃过程中获得稳定状态占用概率的明确分析表达式.
- 通过明确的速率常数,实现网络动态的直接分析和潜在控制.
- 为网络参数的灵敏度分析提供工具.
主要方法:
- 使用过渡率矩阵的权力开发占用概率公式,直到N-1级,其中N是地点的数量.
- 对于跳跃率常数的职业概率导数的表达式的推导.
主要成果:
- 在具有独特静态状态的强度连接网络中,稳态占用概率的明确公式.
- 敏感性分析的公式,量化速率常数对职业概率的影响.
- 根据指定的假设,研究结果可将其推广到任何马尔科夫跳跃过程中.
结论:
- 衍生式为马尔科夫跳跃过程提供了超越黑盒计算的更深入的理解.
- 对速率常数的明确依赖促进了网络设计和控制策略.
- 结果适用于处于热平衡和处于非平衡稳定状态条件下的系统.
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