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On the Number of Eigenvalues of Modified Permutation Matrices in Mesoscopic Intervals

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TLDR
In this paper, the authors considered the ensemble of permutation matrices following Ewens' distribution of a given parameter and its modification where entries equal to 1 in the matrices are replaced by independent random variables uniformly distributed on the unit circle.
Abstract
We are interested in two random matrix ensembles related to permutations: the ensemble of permutation matrices following Ewens’ distribution of a given parameter $$\theta >0$$ and its modification where entries equal to 1 in the matrices are replaced by independent random variables uniformly distributed on the unit circle. For the elements of each ensemble, we focus on the random numbers of eigenvalues lying in some specified arcs of the unit circle. We show that for a finite number of fixed arcs, the fluctuation of the numbers of eigenvalues belonging to them is asymptotically Gaussian. Moreover, for a single arc, we extend this result to the case where the length goes to zero sufficiently slowly when the size of the matrix goes to infinity. Finally, we investigate the behavior of the largest and smallest spacings between two distinct consecutive eigenvalues.

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Eigenvalue Fluctuations of Symmetric Group Permutation Representations on k-tuples and k-subsets

Benjamin Tsou
- 28 Oct 2018 - 
TL;DR: In this paper, it was shown that the normalized count of the number of eigenangles in a fixed interval of a permutation representation evaluated at a random element of the symmetric group σ ∈ \mathfrak{S}_n$ converges weakly to a compactly supported distribution.
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On a limiting point process related to modified permutation matrices

TL;DR: In this article, the authors consider random permutation matrices following a one-parameter family of deformations of the uniform distribution, called Ewens' measures, and modifications of these matrices where the entries equal to one are replaced by i.i.d uniform random variables on the unit circle.
Posted Content

On a limiting point process related to modified permutation matrices.

TL;DR: In this article, the authors consider random permutation matrices following a one-parameter family of deformations of the uniform distribution, called Ewens' measures, and modifications of these matrices where the entries equal to one are replaced by i.i.d uniform random variables on the unit circle.
Posted Content

On smooth mesoscopic linear statistics of the eigenvalues of random permutation matrices.

TL;DR: In this article, the authors studied the limiting behavior of smooth linear statistics of the spectrum of random permutation matrices in the mesoscopic regime, when the permutation follows one of the Ewens measures on the symmetric group.
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On Smooth Mesoscopic Linear Statistics of the Eigenvalues of Random Permutation Matrices

TL;DR: In this article, the authors studied the limiting behavior of smooth linear statistics of the spectrum of random permutation matrices in the mesoscopic regime, when the permutation follows one of the Ewens measures on the symmetric group.
References
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Journal ArticleDOI

The sampling theory of selectively neutral alleles.

TL;DR: This paper considers deductive and subsequently inductive questions relating to a sample of genes from a selectively neutral locus, and the test of the hypothesis that the alleles being sampled are indeed selectively neutral will be considered.
Book

Logarithmic Combinatorial Structures: A Probabilistic Approach

TL;DR: In this article, the authors explain the similarities in asymptotic behaviour as the result of two basic properties shared by the structures: the conditioning relation and the logarithmic condition.
Journal ArticleDOI

Poisson Process Approximations for the Ewens Sampling Formula

TL;DR: In this article, it was shown that under the Ewens sampling formula with parameter $\theta, the process of cycle counts converges to a Poisson process with independent coordinates, and simple explicit upper bounds for the Wasserstein and total variation distances between the laws of the cycle counts.
Journal ArticleDOI

Mesoscopic fluctuations of the zeta zeros

TL;DR: In this article, a multidimensional extension of Selberg's central limit theorem for log ζ is presented, in which non-trivial correlations appear. But the correlation between the dimension of the matrix and the height on the critical line is not shown.
Journal ArticleDOI

Eigenvalue distributions of random permutation matrices

Kelly Wieand
TL;DR: For a fixed arc of the unit circle, the authors showed that the mean and variance of the eigenvalues of the permutation matrix are asymptotically distributed in the large $n$ limit.
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