Applications in random matrix theory of a PIII’ 𝜏-function sequence from Okamoto’s Hamiltonian formulation
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | 2250014 |
Journal / Publication | Random Matrices: Theory and Application |
Volume | 11 |
Issue number | 2 |
Online published | 26 Jun 2021 |
Publication status | Published - Apr 2022 |
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Abstract
We consider the singular linear statistic of the Laguerre unitary ensemble (LUE) consisting of the sum of the reciprocal of the eigenvalues. It is observed that the exponential generating function for this statistic can be written as a Toeplitz determinant with entries given in terms of particular 𝐾 Bessel functions. Earlier studies have identified the same determinant, but with the 𝐾 Bessel functions replaced by 𝐼 Bessel functions, as relating to the hard edge scaling limit of a generalized gap probability for the LUE, in the case of non-negative integer Laguerre parameter. We show that the Toeplitz determinant formed from an arbitrary linear combination of these two Bessel functions occurs as a 𝜏-function sequence in Okamoto’s Hamiltonian formulation of Painlevé III′, and consequently the logarithmic derivative of both Toeplitz determinants satisfies the same 𝜎-form Painlevé III′ differential equation, giving an explanation of a fact which can be observed from earlier results. In addition, some insights into the relationship between this characterization of the generating function, and its characterization in the 𝑛 → ∞ limit, both with the Laguerre parameter 𝛼 fixed, and with 𝛼 = 𝑛 (this latter circumstance being relevant to an application to the distribution of the Wigner time delay statistic), are given.
Research Area(s)
- Painlevé equations, Random matrices, Toeplitz determinant
Citation Format(s)
Applications in random matrix theory of a PIII’ 𝜏-function sequence from Okamoto’s Hamiltonian formulation. / Dai, Dan; Forrester , Peter J.; Xu, Shuai-Xia.
In: Random Matrices: Theory and Application, Vol. 11, No. 2, 2250014, 04.2022.
In: Random Matrices: Theory and Application, Vol. 11, No. 2, 2250014, 04.2022.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review