Computation of Marginal Eigenvalue Distributions in the Laguerre and Jacobi <i>β</i> Ensembles
We consider the problem of the exact computation of the marginal eigenvalue distributions in the Laguerre and Jacobi β ensembles. In the case β=1 this is a question of long standing in the mathematical statistics literature. A recursive procedure to accomplish this task is given for β a positive integer, and the parameter λ1 a non-negative integer. This case is special due to a finite basis of elementary functions, with coefficients which are polynomials. In the Laguerre case with β=1 and λ1+1/2 a non-negative integer some evidence is given of there again being a finite basis, now consisting of elementary functions and the error function multiplied by elementary functions. Moreover, from this the corresponding distributions in the fixed trace case permit a finite basis of power functions, as also for λ1 a non-negative integer. The fixed trace case in this setting is relevant to quantum information theory and quantum transport problems, allowing particularly the exact determination of Landauer conductance distributions in a previously intractable parameter regime. Our findings also aid in analyzing zeros of the generating function for specific gap probabilities, supporting the validity of an associated large N local central limit theorem.
Authors
- Peter J. Forrester (ORCID: https://orcid.org/0000-0002-9328-1387)
- Santosh Kumar (ORCID: https://orcid.org/0000-0002-8405-7308)
Institutions
- The University of Melbourne (AU)
- Shiv Nadar University (IN)
Publication Details
- Journal
- Experimental Mathematics
- Published
- 2026-06-29
- DOI
- https://doi.org/10.1080/10586458.2025.2517657
- Primary Topic
- Random Matrices and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Research Council