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Related papers: Characteristic polynomials of random matrices

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We develop a new framework to compute the exact correlators of characteristic polynomials, and their inverses, in random matrix theory. Our results hold for general potentials and incorporate the effects of an external source. In matrix…

High Energy Physics - Theory · Physics 2021-11-04 Taro Kimura , Edward A. Mazenc

Joint distribution function of N eigenvalues of U(N) invariant random-matrix ensemble can be interpreted as a probability density to find N fictitious non-interacting fermions to be confined in a one-dimensional space. Within this picture a…

Condensed Matter · Physics 2017-02-08 E. Kanzieper , V. Freilikher

We study moments of the logarithmic derivative of characteristic polynomials of orthogonal and symplectic random matrices. In particular, we compute the asymptotics for large matrix size, $N$, of these moments evaluated at points which are…

Mathematical Physics · Physics 2020-10-28 Emilia Alvarez , Nina C. Snaith

In this paper, we propose a probabilistic approach to the study of the characteristic polynomial of a random unitary matrix. We recover the Mellin Fourier transform of such a random polynomial, first obtained by Keating and Snaith, using a…

Probability · Mathematics 2007-06-05 Paul Bourgade , Chris Hughes , Ashkan Nikeghbali , Marc Yor

Let $M$ be a random matrix chosen according to Haar measure from the unitary group $\mathrm{U}(n,\mathbb{C})$. Diaconis and Shahshahani proved that the traces of $M,M^2,\ldots,M^k$ converge in distribution to independent normal variables as…

Group Theory · Mathematics 2024-10-15 Ofir Gorodetsky , Brad Rodgers

The density of vibrational states for glasses and jammed solids exhibits universal features, including an excess of modes above the Debye prediction known as the boson peak located at a frequency $\omega^*$ . We show that the eigenvector…

Soft Condensed Matter · Physics 2015-05-13 M. Lisa Manning , Andrea J. Liu

This paper discusses some infinite trigonometric products which are characteristic functions of simple random walks on the real line; in fact, these define "random Riemann-$\zeta$ functions," a notion which is explained. The concept of…

Classical Analysis and ODEs · Mathematics 2017-08-29 Leif Albert , Michael K. -H. Kiessling

Two-phase composites with non-overlapping inclusions randomly embedded in matrix are investigated. A straight forward approach is applied to estimate the effective properties of random 2D composites. First, deterministic boundary value…

Mathematical Physics · Physics 2015-01-12 Vladimir Mityushev

We consider random Hermitian matrices made of complex or real $M\times N$ rectangular blocks, where the blocks are drawn from various ensembles. These matrices have $N$ pairs of opposite real nonvanishing eigenvalues, as well as $M-N$ zero…

Condensed Matter · Physics 2009-10-28 Joshua Feinberg , A. Zee

According to Dyson's three fold way, from the viewpoint of global time reversal symmetry there are three circular ensembles of unitary random matrices relevant to the study of chaotic spectra in quantum mechanics. These are the circular…

Mathematical Physics · Physics 2017-02-24 Folkmar Bornemann , Peter J. Forrester , Anthony Mays

Results regarding probable bifurcations from fixed points are presented in the context of general dynamical systems (real, random matrices), time-delay dynamical systems (companion matrices), and a set of mappings known for their properties…

Chaotic Dynamics · Physics 2009-11-11 D. J. Albers , J. C. Sprott

We study S-matrix correlations for random matrix ensembles with a Hamiltonian which is the sum of a given deterministic part and of a random matrix with a Gaussian probability distribution. Using Efetov's supersymmetry formalism, we show…

Disordered Systems and Neural Networks · Physics 2009-10-31 N. Mae , S. Iida

We study multiplicative statistics for the eigenvalues of unitarily-invariant Hermitian random matrix models. We consider one-cut regular polynomial potentials and a large class of multiplicative statistics. We show that in the large matrix…

Mathematical Physics · Physics 2022-11-30 Promit Ghosal , Guilherme L. F. Silva

Conditionally on the Riemann hypothesis for certain Dedekind zeta functions, we show that the characteristic polynomial of a class of random tridiagonal matrices of large dimension is irreducible, with probability exponentially close to…

Number Theory · Mathematics 2025-11-18 Lior Bary-Soroker , Daniele Garzoni , Sasha Sodin

The spectra of random feature matrices provide essential information on the conditioning of the linear system used in random feature regression problems and are thus connected to the consistency and generalization of random feature models.…

Machine Learning · Statistics 2022-12-13 Zhijun Chen , Hayden Schaeffer , Rachel Ward

Recent theoretical studies of chaotic scattering have encounted ensembles of random matrices in which the eigenvalue probability density function contains a one-body factor with an exponent proportional to the number of eigenvalues. Two…

Statistical Mechanics · Physics 2009-10-31 T. H. Baker , P. J. Forrester , P. A. Pearce

We investigate from a statistical perspective the arithmetic properties of the dynamics of polynomials of fixed degree and defined over the field of rational numbers. To start with, ordering their affine conjugacy classes by height, we show…

Number Theory · Mathematics 2021-12-23 Pierre Le Boudec , Niki Myrto Mavraki

We prove closed-form identities for the sequence of moments $\int t^{2n}|\Gamma(s)\zeta(s)|^2dt$ on the whole critical line $s=1/2+it$. They are finite sums involving binomial coefficients, Bernoulli numbers, Stirling numbers and $\pi$,…

Number Theory · Mathematics 2023-09-27 Sébastien Darses , Erwan Hillion

We study the convergence properties of a pair of learning algorithms (learning with and without memory). This leads us to study the dominant eigenvalue of a class of random matrices. This turns out to be related to the roots of the…

Probability · Mathematics 2007-05-23 Natalia Komarova , Igor Rivin

We consider a product of $2 \times 2$ random matrices which appears in the physics literature in the analysis of some 1D disordered models. These matrices depend on a parameter $\epsilon >0$ and on a positive random variable $Z$. Derrida…

Mathematical Physics · Physics 2019-05-15 Benjamin Havret
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