On the Cartan decomposition for classical random matrix ensembles

Author:

Edelman Alan1ORCID,Jeong Sungwoo2ORCID

Affiliation:

1. Department of Mathematics and Computer Science & AI Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

2. Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

Abstract

We complete Dyson’s dream by cementing the links between symmetric spaces and classical random matrix ensembles. Previous work has focused on a one-to-one correspondence between symmetric spaces and many but not all of the classical random matrix ensembles. This work shows that we can completely capture all of the classical random matrix ensembles from Cartan’s symmetric spaces through the use of alternative coordinate systems. In the end, we have to let go of the notion of a one-to-one correspondence. We emphasize that the KAK decomposition traditionally favored by mathematicians is merely one coordinate system on the symmetric space, albeit a beautiful one. However, other matrix factorizations, especially the generalized singular value decomposition from numerical linear algebra, reveal themselves to be perfectly valid coordinate systems that one symmetric space can lead to many classical random matrix theories. We establish the connection between this numerical linear algebra viewpoint and the theory of generalized Cartan decompositions. This, in turn, allows us to produce yet more random matrix theories from a single symmetric space. Yet, again, these random matrix theories arise from matrix factorizations, though ones that we are not aware have appeared in the literature.

Funder

NSF OAC

NSF SII

NSF PHY

NSF ECCS

Publisher

AIP Publishing

Subject

Mathematical Physics,Statistical and Nonlinear Physics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fifty Three Matrix Factorizations: A Systematic Approach;SIAM Journal on Matrix Analysis and Applications;2023-04-25

2. Determinantal Expressions of Certain Integrals on Symmetric Spaces;Lecture Notes in Computer Science;2023

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