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.

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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

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article

Computation of Marginal Eigenvalue Distributions in the Laguerre and Jacobi β Ensembles

Peter J. Forrester, Santosh Kumar
Experimental Mathematics
Random Matrices and Applications
article

Computation of Marginal Eigenvalue Distributions in the Laguerre and Jacobi β Ensembles

Peter J. Forrester, Santosh Kumar
article en

Abstract

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.

Experimental Mathematics
The University of Melbourne (AU), Shiv Nadar University (IN)
Australian Research Council
Reduced inequalities
Openalex Percentile: Top 6%
Random Matrices and Applications
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