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In this paper, we consider the perturbed Laguerre unitary ensemble described by the weight function of $$w(x,t)=(x+t)^{\lambda}x^{\alpha}e^{-x}$$ with $ x\geq 0,\ t>0,\ \alpha>0,\ \alpha+\lambda+1 > 0.$ The Deift-Zhou nonlinear steepest…

Mathematical Physics · Physics 2017-11-15 Min Chen , Yang Chen , Engui Fan

We study the universal properties of distributions of eigenvalues of random matrices in the large $N$ limit. The distributions fall in universality classes characterized entirely by the support of the spectral density.

Condensed Matter · Physics 2009-10-28 J. Ambjorn , G. Akemann

In the first part we study critical points of random polynomials. We choose two deterministic sequences of complex numbers,whose empirical measures converge to the same probability measure in complex plane. We make a sequence of polynomials…

Probability · Mathematics 2016-05-05 Tulasi Ram Reddy

In a larger size Riemann-Hilbert problem matching the local parametrices with the global parametrix is often a major issue. In this article we present a result that should tackle this problem in natural situations. We prove that, in a…

Classical Analysis and ODEs · Mathematics 2021-05-14 Leslie Molag

We study numerically the continuum limit corresponding to the non-trivial fixed point of Dyson's hierarchical model. We discuss the possibility of using the critical amplitudes as input parameters. We determine numerically the leading and…

High Energy Physics - Theory · Physics 2009-11-10 Y. Meurice , M. B. Oktay

We study the partition function of the matrix model of finite size that realizes the irregular conformal block for the case of the ${\cal N}=2$ supersymmetric $SU(2)$ gauge theory with $N_f =2$. This model has been obtained in…

High Energy Physics - Theory · Physics 2019-01-09 Hiroshi Itoyama , Takeshi Oota , Katsuya Yano

We study the power spectrum of eigen-angles of random matrices drawn from the circular unitary ensemble ${\rm CUE}(N)$ and show that it can be evaluated in terms of either a Fredholm determinant, or a Toeplitz determinant, or a sixth…

Mathematical Physics · Physics 2022-12-19 Roman Riser , Eugene Kanzieper

We study the scaling limit of the volume and perimeter of the discovered regions in the Markovian explorations known as peeling processes for infinite random planar maps such as the uniform infinite planar triangulation (UIPT) or…

Probability · Mathematics 2015-07-21 Nicolas Curien , Jean-François Le Gall

Matrix models of 2D quantum gravity are either exactly solvable for matter of central charge $ c\leq 1, $ or not understood. It would be useful to devise an approximate scheme which would be reasonable for the known cases and could be…

High Energy Physics - Theory · Physics 2009-10-22 Edouard Brézin , Jean Zinn-Justin

Universality, encompassing critical exponents, scaling functions, and dimensionless quantities, is fundamental to phase transition theory. In finite systems, universal behaviors are also expected to emerge at the pseudocritical point.…

Statistical Mechanics · Physics 2026-05-26 Qiyuan Shi , Shuo Wei , Youjin Deng , Ming Li

We consider $N$ by $N$ deformed Wigner random matrices of the form $X_N=H_N+A_N$, where $H_N$ is a real symmetric or complex Hermitian Wigner matrix and $A_N$ is a deterministic real bounded diagonal matrix. We prove a universal Central…

Probability · Mathematics 2020-09-22 Yiting Li , Kevin Schnelli , Yuanyuan Xu

In three dimensions, or more generally, below the upper critical dimension, scaling laws for critical phenomena seem well understood, for both infinite and for finite systems. Above the upper critical dimension of four, finite-size scaling…

Statistical Mechanics · Physics 2007-05-23 M. A. Sumour , D. Stauffer , M. M. Shabat , A. H. El-Astal

We study the multiplicative statistics associated to the limiting determinantal point process describing unitary random matrices with a critical edge point, where limiting density vanishes like a power 5/2. We prove that these statistics…

Mathematical Physics · Physics 2026-02-05 Mattia Cafasso , Carla Mariana da Silva Pinheiro

Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding an external source to the model can have the effect of shifting some of the matrix eigenvalues, which corresponds to shifting some of the…

Mathematical Physics · Physics 2015-05-20 Marco Bertola , Robert Buckingham , Seung-Yeop Lee , Virgil U. Pierce

Tensor models generalize matrix models and generate colored triangulations of pseudo-manifolds in dimensions $D\geq 3$. The free energies of some models have been recently shown to admit a double scaling limit, i.e. large tensor size $N$…

High Energy Physics - Theory · Physics 2014-09-12 Valentin Bonzom , Razvan Gurau , James P. Ryan , Adrian Tanasa

We compute the large scale (macroscopic) correlations in ensembles of normal random matrices with an arbitrary measure and in ensembles of general non-Hermition matrices with a class of non-Gaussian measures. In both cases the eigenvalues…

High Energy Physics - Theory · Physics 2008-11-26 P. Wiegmann , A. Zabrodin

We derive necessary and sufficient conditions for universality limits for orthogonal polynomials on the real line and related systems. One of our results is that the Christoffel-Darboux kernel has sine kernel asymptotics at a point $\xi$,…

Classical Analysis and ODEs · Mathematics 2024-09-27 Benjamin Eichinger , Milivoje Lukić , Harald Woracek

We consider the probability of two large gaps (intervals without eigenvalues) in the bulk scaling limit of the Gaussian Unitary Ensemble of random matrices. We determine the multiplicative constant in the asymptotics. We also provide the…

Mathematical Physics · Physics 2020-03-19 Benjamin Fahs , Igor Krasovsky

The eigenvalue correlations of random matrices from the Jacobi Unitary Ensemble have a known asymptotic behavior as their size tends to infinity. In the bulk of the spectrum the behavior is described in terms of the sine kernel, and at the…

Mathematical Physics · Physics 2010-07-29 Arno Kuijlaars , Maarten Vanlessen

We consider polynomial Bergman kernels with respect to exponentially varying weights $e^{-n \mathscr Q(z)}$ depending on a potential $\mathscr Q:\mathbb C^d\to\mathbb R$. We use these kernels to construct determinantal point processes on…

Probability · Mathematics 2026-05-19 L. D. Molag