28 research outputs found
Orbital approach to microstate free entropy
Motivated by Voiculescu's liberation theory, we introduce the orbital free
entropy for non-commutative self-adjoint random variables (also for
"hyperfinite random multi-variables"). Besides its basic properties the
relation of with the usual free entropy is shown. Moreover,
the dimension counterpart of is discussed, and we
obtain the relation of with the original free entropy
dimension with applications to itself.Comment: 38 pages; Section 5 was largely improved and Section 6 was adde
A multi-layer extension of the stochastic heat equation
Motivated by recent developments on solvable directed polymer models, we
define a 'multi-layer' extension of the stochastic heat equation involving
non-intersecting Brownian motions.Comment: v4: substantially extended and revised versio
On absolute moments of characteristic polynomials of a certain class of complex random matrices
Integer moments of the spectral determinant of complex
random matrices are obtained in terms of the characteristic polynomial of
the Hermitian matrix for the class of matrices where is a
given matrix and is random unitary. This work is motivated by studies of
complex eigenvalues of random matrices and potential applications of the
obtained results in this context are discussed.Comment: 41 page, typos correcte
Circular Law Theorem for Random Markov Matrices
Consider an nxn random matrix X with i.i.d. nonnegative entries with bounded
density, mean m, and finite positive variance sigma^2. Let M be the nxn random
Markov matrix with i.i.d. rows obtained from X by dividing each row of X by its
sum. In particular, when X11 follows an exponential law, then M belongs to the
Dirichlet Markov Ensemble of random stochastic matrices. Our main result states
that with probability one, the counting probability measure of the complex
spectrum of n^(1/2)M converges weakly as n tends to infinity to the uniform law
on the centered disk of radius sigma/m. The bounded density assumption is
purely technical and comes from the way we control the operator norm of the
resolvent.Comment: technical update via http://HAL.archives-ouvertes.f
Poissonian exponential functionals, q-series, q-integrals, and the moment problem for log-normal distributions
Moments formulae for the exponential functionals associated with a Poisson process provide a simple probabilistic access to the so-called q-calculus, as well as to some recent works about the moment problem for the log-normal distributions