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20022023
most citedThe zeros of random polynomials cluster uniformly near the unit circle

49 citations · 237 across the 16 of their papers we have counts for

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6 papers · 1 filter

math.PR2013★ 1 cited

On the number of zeros of linear combinations of independent characteristic polynomials of random unitary matrices

Yacine Barhoumi, Chris Hughes, Joseph Najnudel +1

We show that almost all the zeros of any finite linear combination of independent characteristic polynomials of random unitary matrices lie on the unit circle. This result is the r…

math.PR2011★ 15 cited

Random permutation matrices under the generalized Ewens measure

Christopher Hughes, Joseph Najnudel, Ashkan Nikeghbali +1

We consider a generalization of the Ewens measure for the symmetric group, calculating moments of the characteristic polynomial and similar multiplicative statistics. In addition,…

math.PR2007

The characteristic polynomial of a random unitary matrix: a probabilistic approach

Paul Bourgade, Chris Hughes, Ashkan Nikeghbali +1

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 rando…

math.PR2006

An arithmetic model for the total disorder process

C. P. Hughes, A. Nikeghbali, M. Yor

We prove a multidimensional extension of Selberg's central limit theorem for the logarithm of the Riemann zeta function on the critical line. The limit is a totally disordered proc…

math.PR2003★ 3 cited

On the distribution of lattice points in thin annuli

C. P. Hughes, Z. Rudnick

We show that the number of lattice points lying in a thin annulus has a Gaussian value distribution if the width of the annulus tends to zero sufficiently slowly as we increase the…

math.PR2002★ 29 cited

Mock-Gaussian Behaviour for Linear Statistics of Classical Compact Groups

C. P. Hughes, Z. Rudnick

We consider the scaling limit of linear statistics for eigenphases of a matrix taken from one of the classical compact groups. We compute their moments and find that the first few…