隨機矩陣
在概率論和數學物理中,隨機矩陣(英語:Random matrix)是一個矩陣值的隨機變量,也就是說,一個矩陣中的所有元素都是隨機變量。[1]
應用
物理
- 原子核物理學[2][3],量子場論
- 量子混沌(quantum chaos)Bohigas–Giannoni–Schmit(BGS)猜想[4]
- 量子光學[5][6]
- 楊-米爾斯理論(量子色動力學)[7]
- 兩維的量子引力,AdS/CFT對偶,[8]
- 介觀物理學,[9]
- 自旋轉移矩,[10]
- 小數量子霍爾效果,[11]
- 安德森的本地化(Anderson localization)[12]
- 量子點,[13]
- 超導現象[14]
其他(AI、數學、統計)
- 數論,黎曼ζ函數和其他L函數的零分布,希爾伯特–波利亞猜想,黎曼猜想[15]
- 多元變量統計[16][17]
- 數值分析[18][19]
- 最優控制[20][21][22]
- 神經科學理論,混沌理論[22][23][24][25][26]
- 人工智能,機器學習,深度學習,深度神經網絡[27][28][29]
隨機矩陣模型
設是的矩陣,有下面的概率測度:
例子,高斯模型:。
- GUE (Gaussian Unitary Ensemble):H是埃爾米特矩陣。通過1/N展開,維格納半圓分布描述H的大N特徵值的機率密度函數。[1]
- GOE (Orthogonal):H是對稱矩陣
- GSE (Symplectic):H是四元數的矩陣(Quaternion matrix)
參見
- 維格納半圓分布
- 弗里曼·戴森氣體模型(Dyson gas model)
- 1/N展開
- 普遍性 (物理學)(Universality)
- Spectral Theory
- 非古典機率(Free probability)
閱讀
- 陶哲軒的Topics in random matrix theory (https://terrytao.files.wordpress.com/2011/02/matrix-book.pdf (頁面存檔備份,存於網際網路檔案館))
- 其他書:[30][31][32]
- 文章:[33][34][35][36]
- 原始文章:[37][38][39]
- Voiculescu, Free Probability Theory and Operator Algebras
- Speicher, Free Probability Theory (https://arxiv.org/pdf/0911.0087.pdf (頁面存檔備份,存於網際網路檔案館))
- 徐一鴻的https://en.wikipedia.org/wiki/Quantum_Field_Theory_in_a_Nutshell (頁面存檔備份,存於網際網路檔案館) (Large N expansion)
參考文獻
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- ^ Mehta, M.L. Random Matrices. Amsterdam: Elsevier/Academic Press. 2004. ISBN 0-12-088409-7.
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- ^ Wishart, J. Generalized product moment distribution in samples. Biometrika. 1928, 20A (1–2): 32–52. doi:10.1093/biomet/20a.1-2.32.
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