在多体系统中推断 entropy 生产,使用无平衡最大 entropy
Miguel Aguilera1,2, Sosuke Ito3,4, Artemy Kolchinsky3,5
1BCAM-Basque Center for Applied Mathematics, 48009 Bilbao, Spain.
Physical review letters
|March 6, 2026
概括
我们开发了一种新方法来计算复杂系统中的产量. 这种方法克服了计算限制,并适用于具有长内存的系统,为其热力学提供了洞察力.
科学领域:
- 统计物理学的统计物理.
- 计算热力学是一种计算热力学.
- 复杂系统分析 复杂系统分析
背景情况:
- 在高维度随机系统中估计产量 (EP) 是具有计算挑战性的.
- 标准方法在多体和非马科维系统中由于局限性而失败.
研究的目的:
- 提出一种新的方法来推断复杂系统中的产量.
- 克服高维和非马科维系统现有技术的局限性.
主要方法:
- 利用一个不平衡的最大原则,模拟和凸的二元性.
- 使用轨迹可观测值推断轨迹水平的EP和平均EP边界.
- 避免重建概率分布或速率矩阵.
主要成果:
- 在1000旋转无序模型和神经尖峰列车数据中成功推断了的产生.
- 开发了一种适用于具有长内存且没有特殊假设的系统的方法.
- 启用了EP的层次分解,并提供了热力学不确定性关系的解释.
结论:
- 拟议的方法为计算以前难以处理的系统中的产量提供了一种可处理的方法.
- 这种技术为分析复杂,不平衡系统中的热力学提供了新的工具.
- 该方法是多用途的,适用于从物理到神经科学的各种系统.
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