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We obtain large gap asymptotics for Airy kernel Fredholm determinants with any number $m$ of discontinuities. These $m$-point determinants are generating functions for the Airy point process and encode probabilistic information about…

Mathematical Physics · Physics 2019-09-04 Christophe Charlier , Tom Claeys

We study the one-parameter family of Fredholm determinants $\det(I-\rho^2\mathcal{K}_{n,x})$, $\rho\in\mathbb{R}$, where $\mathcal{K}_{n,x}$ stands for the integral operator acting on $L^2(x,+\infty)$ with the higher order Airy kernel. This…

Mathematical Physics · Physics 2023-08-02 Jun Xia , Yi-Fan Hao , Shuai-Xia Xu , Lun Zhang , Yu-Qiu Zhao

We prove that the asymptotics of the Fredholm determinant of $I-K_\alpha$, where $K_\alpha$ is the integral operator with the sine kernel $\sin(x-y)/(x-y)/\pi$ on the interval $[0,\alpha]$ is given by a formula which was conjectured by F.J.…

Functional Analysis · Mathematics 2007-05-23 Torsten Ehrhardt

We study the Fredholm determinant of an integral operator associated to the hard edge Pearcey kernel. This determinant appears in a variety of random matrix and non-intersecting paths models. By relating the logarithmic derivatives of the…

Probability · Mathematics 2022-09-27 Luming Yao , Lun Zhang

We obtain a formula for the $n$-dimensional distributions of the Airy$_1$ process in terms of a Fredholm determinant on $L^2(\rr)$, as opposed to the standard formula which involves extended kernels, on $L^2(\{1,...,n\}\times\rr)$. The…

Probability · Mathematics 2020-10-15 Jeremy Quastel , Daniel Remenik

In Random Matrix Theory the local correlations of the Laguerre and Jacobi Unitary Ensemble in the hard edge scaling limit can be described in terms of the Bessel kernel (containing a parameter $\alpha$). In particular, the so-called hard…

Functional Analysis · Mathematics 2010-01-15 Torsten Ehrhardt

The authors use Riemann-Hilbert methods to compute the constant that arises in the asymptotic behavior of the Airy-kernel determinant of random matrix theory.

Functional Analysis · Mathematics 2007-06-21 P. Deift , A. Its , I. Krasovsky

In the bulk scaling limit of the Gaussian Unitary Ensemble of Hermitian matrices the probability that an interval of length $s$ contains no eigenvalues is the Fredholm determinant of the sine kernel $\sin(x-y)\over\pi(x-y)$ over this…

High Energy Physics - Theory · Physics 2009-10-28 Harold Widom

Fredholm integral operators that commute with the Hamiltonians of certain quantum mechanical problems with quartic potentials are introduced. The operators are expressed in terms of an Airy function, and their eigenvalues fall off…

High Energy Physics - Theory · Physics 2026-03-13 Ori J. Ganor

We obtain "large gap" asymptotics for a Fredholm determinant with a confluent hypergeometric kernel. We also obtain asymptotics for determinants with two types of Bessel kernels which appeared in random matrix theory.

Mathematical Physics · Physics 2010-10-28 P. Deift , I. Krasovsky , J. Vasilevska

We introduce a two parameter ($\alpha, \beta>-1$) family of interacting particle systems with determinantal correlation kernels expressible in terms of Jacobi polynomials $\{ P^{(\alpha, \beta)}_k \}_{k \geq 0}$. The family includes…

Probability · Mathematics 2017-08-08 Mark Cerenzia , Jeffrey Kuan

We investigate the asymptotic behavior of a generalized sine kernel acting on a finite size interval [-q,q]. We determine its asymptotic resolvent as well as the first terms in the asymptotic expansion of its Fredholm determinant. Further,…

Mathematical Physics · Physics 2011-10-07 N. Kitanine , Karol K. Kozlowski , Jean Michel Maillet , N. A. Slavnov , Véronique Terras

Scaling level-spacing distribution functions in the ``bulk of the spectrum'' in random matrix models of $N\times N$ hermitian matrices and then going to the limit $N\to\infty$, leads to the Fredholm determinant of the sine kernel…

High Energy Physics - Theory · Physics 2009-07-13 Craig A. Tracy , Harold Widom

The Pearcey kernel is a classical and universal kernel arising from random matrix theory, which describes the local statistics of eigenvalues when the limiting mean eigenvalue density exhibits a cusp-like singularity. It appears in a…

Mathematical Physics · Physics 2021-02-24 Dan Dai , Shuai-Xia Xu , Lun Zhang

Scaling level-spacing distribution functions in the ``bulk of the spectrum'' in random matrix models of $N\times N$ hermitian matrices and then going to the limit $N\to\infty$, leads to the Fredholm determinant of the sine kernel…

High Energy Physics - Theory · Physics 2009-07-11 Craig A. Tracy , Harold Widom

We present a method to derive asymptotics of eigenvalues for trace-class integral operators $K:L^2(J;d\lambda)\circlearrowleft$, acting on a single interval $J\subset\mathbb{R}$, which belong to the ring of integrable operators \cite{IIKS}.…

Mathematical Physics · Physics 2016-02-17 Thomas Bothner

We study Fredholm determinants related to a family of kernels which describe the edge eigenvalue behavior in unitary random matrix models with critical edge points. The kernels are natural higher order analogues of the Airy kernel and are…

Mathematical Physics · Physics 2009-01-19 T. Claeys , A. Its , I. Krasovsky

We investigate the short-time expansion of the heat kernel of a Laplace type operator on a compact Riemannian manifold and show that the lowest order term of this expansion is given by the Fredholm determinant of the Hessian of the energy…

Differential Geometry · Mathematics 2022-01-19 Matthias Ludewig

We study Fredholm determinants of a class of integral operators, whose kernels can be expressed as double contour integrals of a special type. Such Fredholm determinants appear in various random matrix and statistical physics models. We…

Mathematical Physics · Physics 2020-10-29 Mattia Cafasso , Tom Claeys , Manuela Girotti

In this paper, we consider the deformed Fredholm determinant of the confluent hypergeometric kernel. This determinant represents the gap probability of the corresponding determinantal point process where each particle is removed…

Mathematical Physics · Physics 2022-07-28 Dan Dai , Yu Zhai
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