可整合矩阵概率扩散和矩阵随机热方程
Alexandre Krajenbrink1, Pierre Le Doussal2
1Quantinuum, Partnership House, Carlisle Place, London SW1P 1BX, United Kingdom and Le Lab Quantique, 58 rue d'Hauteville, 75010 Paris, France.
Physical review. E
|October 21, 2025
概括
我们引入一个矩阵随机热方程 (MSHE) 并找到它的不变量. 这种可集成模型允许通过反向散射研究大偏差,连接到矩阵聚合物.
科学领域:
- 数学物理 数学物理
- 统计力学 统计力学
- 随机过程 随机过程
背景情况:
- 对随机局部微分方程的研究对于建模复杂系统至关重要.
- 可集成系统为理解动态提供了强大的分析工具.
- 矩阵值的随机过程在各个领域越来越重要.
研究的目的:
- 介绍和分析随机热方程 (MSHE) 的矩阵版本.
- 在一个空间维度中确定MSHE的显式不变量.
- 研究MSHE和相关离散模型的可整合性和大偏差特性.
主要方法:
- 对MSHE.HE的不变量计的推导.
- 使用矩阵非线性施罗丁格方程,在弱噪声状态中证明经典整合性.
- 应用反向散射技术进行短期大偏差分析.
- 对离散矩阵聚合物模型的分析,包括矩阵日志-Gamma和O'Connell-Yor聚合物.
- 在动态动作上利用波动-分散转换.
主要成果:
- 为 1D MSHE.获得的明确不变量测量.
- 对于MSHE在弱噪声极限中显示的经典整合性.
- MSHE被确定为矩阵日志-玛聚合物的连续极限.
- 对离散矩阵聚合物模型的经典整合性得到证实.
- 对于所有研究的模型来说,得到的宽松对和不变度.
结论:
- MSHE和相关的离散模型表现出经典的整合性.
- 开发的方法为分析这些系统中较大的偏差提供了一个框架.
- 建立了连续性随机方程和离散聚合物模型之间的连接.
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