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.
Authors
- Brian Winn (ORCID: https://orcid.org/0000-0002-0338-6223)
Institutions
- Loughborough University (GB)
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