ID: math/9904166

A Simple Approach to Global Regime of the Random Matrix Theory

April 29, 1999

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Universal Gaussian fluctuations of non-Hermitian matrix ensembles: from weak convergence to almost sure CLTs

February 5, 2010

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Ivan PMA Nourdin, Giovanni Peccati
Probability

In the paper [25], written in collaboration with Gesine Reinert, we proved a universality principle for the Gaussian Wiener chaos. In the present work, we aim at providing an original example of application of this principle in the framework of random matrix theory. More specifically, by combining the result in [25] with some combinatorial estimates, we are able to prove multi-dimensional central limit theorems for the spectral moments (of arbitrary degrees) associated with r...

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High Moments of Large Wigner Random Matrices and Asymptotic Properties of the Spectral Norm

July 21, 2009

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O. Khorunzhiy
Probability
Mathematical Physics

We consider an ensemble of nxn real symmetric random matrices A whose entries are determined by independent identically distributed random variables that have symmetric probability distribution. Assuming that the moment 12+2delta of these random variables exists, we prove that the probability distribution of the spectral norm of A rescaled to n^{-2/3} is bounded by a universal expression. The proof is based on the completed and modified version of the approach proposed and de...

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A law of large numbers for finite-range dependent random matrices

September 13, 2006

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Greg Anderson, Ofer Zeitouni
Probability

We consider random hermitian matrices in which distant above-diagonal entries are independent but nearby entries may be correlated. We find the limit of the empirical distribution of eigenvalues by combinatorial methods. We also prove that the limit has algebraic Stieltjes transform by an argument based on dimension theory of noetherian local rings.

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The empirical eigenvalue distribution of a Gram matrix: From independence to stationarity

February 25, 2005

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W. Hachem, P. Loubaton, J. Najim
Probability
Statistics Theory
Statistics Theory

Consider a $N\times n$ random matrix $Z_n=(Z^n_{j_1 j_2})$ where the individual entries are a realization of a properly rescaled stationary gaussian random field. The purpose of this article is to study the limiting empirical distribution of the eigenvalues of Gram random matrices such as $Z_n Z_n ^*$ and $(Z_n +A_n)(Z_n +A_n)^*$ where $A_n$ is a deterministic matrix with appropriate assumptions in the case where $n\to \infty$ and $\frac Nn \to c \in (0,\infty)$. The proo...

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Asymptotic Eigenvalue Moments of Wishart-Type Random Matrix Without Ergodicity in One Channel Realization

October 6, 2008

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Chien-Hwa Hwang
Information Theory
Information Theory

Consider a random matrix whose variance profile is random. This random matrix is ergodic in one channel realization if, for each column and row, the empirical distribution of the squared magnitudes of elements therein converges to a nonrandom distribution. In this paper, noncrossing partition theory is employed to derive expressions for several asymptotic eigenvalue moments (AEM) related quantities of a large Wishart-type random matrix $\bb H\bb H^\dag$ when $\bb H$ has a ran...

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Empirical Distribution of Scaled Eigenvalues for Product of Matrices from the Spherical Ensemble

January 24, 2017

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Shuhua Chang, Yongcheng Qi
Statistics Theory
Statistics Theory

Consider the product of $m$ independent $n\times n$ random matrices from the spherical ensemble for $m\ge 1$. The empirical distribution based on the $n$ eigenvalues of the product is called the empirical spectral distribution. Two recent papers by G\"otze, K\"osters and Tikhomirov (2015) and Zeng (2016) obtain the limit of the empirical spectral distribution for the product when $m$ is a fixed integer. In this paper, we investigate the limiting empirical distribution of scal...

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Stability of the Matrix Dyson Equation and Random Matrices with Correlations

April 27, 2016

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Oskari Ajanki, Laszlo Erdos, Torben Krüger
Probability
Mathematical Physics

We consider real symmetric or complex hermitian random matrices with correlated entries. We prove local laws for the resolvent and universality of the local eigenvalue statistics in the bulk of the spectrum. The correlations have fast decay but are otherwise of general form. The key novelty is the detailed stability analysis of the corresponding matrix valued Dyson equation whose solution is the deterministic limit of the resolvent.

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Universality for Random Matrices

May 8, 2023

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Simona Diaconu
Probability

Traces of large powers of real-valued Wigner matrices are known to have Gaussian fluctuations: for $A=\frac{1}{\sqrt{n}}(a_{ij})_{1 \leq i,j \leq n}\in \mathbb{R}^{n \times n}, A=A^T$ with $(a_{ij})_{1 \leq i \leq j \leq n}$ i.i.d., symmetric, subgaussian, $\mathbb{E}[a^{2}_{11}]=1,$ and $p=o(n^{2/3}),$ as $n,p \to \infty,$ $\frac{\sqrt{\pi}}{2^{p}}(tr(A^p)-\mathbb{E}[tr(A^p)]) \Rightarrow N(0,1).$ This work shows the entries of $A^{2p},$ properly scaled, also have normal lim...

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Statistical properties of Random Matrices and the replica method

January 7, 1997

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Giorgio Parisi
Disordered Systems and Neura...
Soft Condensed Matter

I present here some results on the statistical behaviour of large random matrices in an ensemble where the probability distribution is not a function of the eigenvalues only. The perturbative expansion can be cast in a closed form and the limits of validity of this expansion are carefully analyzed. A comparison is done with a similar model with quenched disorder, where the solution can be found by using the replica method. Finally I will apply these results to a model which s...

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A Note on the Eigenvalue Density of Random Matrices

April 4, 1998

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Michael K. -H. Kiessling, Herbert Spohn
Mathematical Physics
Probability

The distribution of eigenvalues of N times N random matrices in the limit N to infinity is the solution to a variational principle that determines the ground state energy of a confined fluid of classical unit charges. This fact is a consequence of a more general theorem, proven here, in the statistical mechanics of unstable interactions. Our result establishes the eigenvalue density of some ensembles of random matrices which were not covered by previous theorems.

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