We demonstrate the convergence of the characteristic polynomial of several random matrix ensembles to a limiting universal function, at the microscopic scale. The random matrix ensembles we treat are classical compact groups and the Gaussian Unitary Ensemble. In fact, the result is the by-product of a general limit theorem for the convergence of random entire functions whose zeros present a simple regularity property
We show that for any linear combination of characteristic polynomials of independent random unitary ...
The problem of convergence of the joint moments, which depend on two parameters $s$ and $h$, of the ...
We introduce a new type of convergence in probability theory, which we call "mod-Gaussian convergenc...
We demonstrate the convergence of the characteristic polynomial of several random matrix ensembles t...
29 pagesInternational audienceWe prove a general limit theorem for the convergence of random entire ...
We show in this paper that after proper scalings, the characteristic polynomial of a random unitary ...
We point out a simple criterion for convergence of polynomials to a concrete entire function in the ...
We consider powers of the absolute value of the characteristic polynomial of Haar distributed random...
63 pagesInternational audienceLet $\mathbf X_N= (X_1^{(N)} \etc X_p^{(N)})$ be a family of $N \times...
40 pages. This is an expanded version of a paper formerly called "Universal Gaussian fluctuations of...
We consider powers of the absolute value of the characteristic polynomial of Haar distributed random...
This thesis consists of two papers devoted to the asymptotics of random matrix ensembles and measure...
We calculate joint moments of the characteristic polynomial of a random unitary matrix from the circ...
It is known that a unitary matrix can be decomposed into a product of complex reflections, one for e...
We study the characteristic polynomials of both the Gaussian Orthogonal and Symplectic Ensembles. We...
We show that for any linear combination of characteristic polynomials of independent random unitary ...
The problem of convergence of the joint moments, which depend on two parameters $s$ and $h$, of the ...
We introduce a new type of convergence in probability theory, which we call "mod-Gaussian convergenc...
We demonstrate the convergence of the characteristic polynomial of several random matrix ensembles t...
29 pagesInternational audienceWe prove a general limit theorem for the convergence of random entire ...
We show in this paper that after proper scalings, the characteristic polynomial of a random unitary ...
We point out a simple criterion for convergence of polynomials to a concrete entire function in the ...
We consider powers of the absolute value of the characteristic polynomial of Haar distributed random...
63 pagesInternational audienceLet $\mathbf X_N= (X_1^{(N)} \etc X_p^{(N)})$ be a family of $N \times...
40 pages. This is an expanded version of a paper formerly called "Universal Gaussian fluctuations of...
We consider powers of the absolute value of the characteristic polynomial of Haar distributed random...
This thesis consists of two papers devoted to the asymptotics of random matrix ensembles and measure...
We calculate joint moments of the characteristic polynomial of a random unitary matrix from the circ...
It is known that a unitary matrix can be decomposed into a product of complex reflections, one for e...
We study the characteristic polynomials of both the Gaussian Orthogonal and Symplectic Ensembles. We...
We show that for any linear combination of characteristic polynomials of independent random unitary ...
The problem of convergence of the joint moments, which depend on two parameters $s$ and $h$, of the ...
We introduce a new type of convergence in probability theory, which we call "mod-Gaussian convergenc...