Convergence for noncommutative rational functions evaluated in random matrices

One of the main applications of free probability is to show that for appropriately chosen independent copies of d random matrix models, any noncommutative polynomial in these d variables has a spectral distribution that converges asymptotically and can be described with the help of free probability....

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Bibliographic Details
Published in:Mathematische annalen Vol. 388; no. 1; pp. 543 - 574
Main Authors: Collins, Benoît, Mai, Tobias, Miyagawa, Akihiro, Parraud, Félix, Yin, Sheng
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2024
Springer Nature B.V
Subjects:
Algebra
Approximation
Codes
Convergence
Mathematics
Mathematics and Statistics
Matrix algebra
Operators (mathematics)
Polynomials
Random variables
Rational functions
ISSN:0025-5831, 1432-1807
Online Access:Get full text
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Summary:One of the main applications of free probability is to show that for appropriately chosen independent copies of d random matrix models, any noncommutative polynomial in these d variables has a spectral distribution that converges asymptotically and can be described with the help of free probability. This paper aims to show that this can be extended to noncommutative rational functions, answering an open question by Roland Speicher. This paper also provides a noncommutative probability approach to approximating the free field. At the algebraic level, its construction relies on the approximation by generic matrices. On the other hand, it admits many embeddings in the algebra of operators affiliated with a I I 1 factor. A consequence of our result is that, as soon as the generators admit a random matrix model, the approximation of any self-adjoint noncommutative rational function by generic matrices can be upgraded at the level of convergence in distribution.
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ISSN:0025-5831
1432-1807
DOI:10.1007/s00208-022-02530-5