Extreme eigenvalues of random matrices from Jacobi ensembles

Two-term asymptotic formulæ for the probability distribution functions for the smallest eigenvalue of the Jacobi β-Ensembles are derived for matrices of large size in the régime where β > 0 is arbitrary and one of the model parameters α1 is an integer. By a straightforward transformation this leads to corresponding results for the distribution of the largest eigenvalue. The explicit expressions are given in terms of multi-variable hypergeometric functions, and it is found that the first-order corrections are proportional to the derivative of the leading order limiting distribution function. In some special cases β = 2 and/or small values of α1, explicit formulæ involving more familiar functions, such as the modified Bessel function of the first kind, are presented.

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Publication Details

Journal
Journal of Mathematical Physics
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0199552
Citations
1
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.71
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article

Extreme eigenvalues of random matrices from Jacobi ensembles

Brian Winn
1 citations
Journal of Mathematical Physics
Random Matrices and Applications
0.71
article

Extreme eigenvalues of random matrices from Jacobi ensembles

Brian Winn
article en
1 citations

Abstract

Two-term asymptotic formulæ for the probability distribution functions for the smallest eigenvalue of the Jacobi β-Ensembles are derived for matrices of large size in the régime where β > 0 is arbitrary and one of the model parameters α1 is an integer. By a straightforward transformation this leads to corresponding results for the distribution of the largest eigenvalue. The explicit expressions are given in terms of multi-variable hypergeometric functions, and it is found that the first-order corrections are proportional to the derivative of the leading order limiting distribution function. In some special cases β = 2 and/or small values of α1, explicit formulæ involving more familiar functions, such as the modified Bessel function of the first kind, are presented.

Journal of Mathematical PhysicsVol. 65(9)
Loughborough University (GB)
Openalex Percentile: Top 26%
Random Matrices and Applications
0.71
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