Asymptotic analysis of a Family of Painlevé Functions with Applications to CUE Derivative Moments

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Bothner, Thomas, Wei, Fei
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915633213472768
author Bothner, Thomas
Wei, Fei
author_facet Bothner, Thomas
Wei, Fei
contents The Riemann-Hilbert method is employed to carry out an asymptotic analysis of a family of $σ$-Painlevé V functions associated with Hankel determinants involving the confluent hypergeometric function of the second kind. In the large-matrix limit, this family degenerates to a family of $σ$-Painlevé III$'$ functions, whose precise asymptotic behavior is also obtained. Both families of Painlevé functions arise in the study of the joint moments of the derivative of the characteristic polynomial of a CUE random matrix and the polynomial itself, whose asymptotics are closely related to the moments of the Riemann zeta function and the Hardy $\mathsf{Z}$-function on the critical line. One of our main results establishes a representation of the leading coefficients of these joint moments in terms of $σ$-Painlevé III$'$ functions for general real exponents. The other main result resolves a question of Assiotis et al. in [Probab. Math. Physics. 2(2021), 613-642, Remark 2.5] concerning the existence of a probability density for a random variable arising in the ergodic decomposition of Hua-Pickrell measures.
format Preprint
id arxiv_https___arxiv_org_abs_2511_18118
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic analysis of a Family of Painlevé Functions with Applications to CUE Derivative Moments
Bothner, Thomas
Wei, Fei
Mathematical Physics
Number Theory
Probability
Exactly Solvable and Integrable Systems
Primary 33E17, Secondary 11M50, 60B20, 15B52
The Riemann-Hilbert method is employed to carry out an asymptotic analysis of a family of $σ$-Painlevé V functions associated with Hankel determinants involving the confluent hypergeometric function of the second kind. In the large-matrix limit, this family degenerates to a family of $σ$-Painlevé III$'$ functions, whose precise asymptotic behavior is also obtained. Both families of Painlevé functions arise in the study of the joint moments of the derivative of the characteristic polynomial of a CUE random matrix and the polynomial itself, whose asymptotics are closely related to the moments of the Riemann zeta function and the Hardy $\mathsf{Z}$-function on the critical line. One of our main results establishes a representation of the leading coefficients of these joint moments in terms of $σ$-Painlevé III$'$ functions for general real exponents. The other main result resolves a question of Assiotis et al. in [Probab. Math. Physics. 2(2021), 613-642, Remark 2.5] concerning the existence of a probability density for a random variable arising in the ergodic decomposition of Hua-Pickrell measures.
title Asymptotic analysis of a Family of Painlevé Functions with Applications to CUE Derivative Moments
topic Mathematical Physics
Number Theory
Probability
Exactly Solvable and Integrable Systems
Primary 33E17, Secondary 11M50, 60B20, 15B52
url https://arxiv.org/abs/2511.18118