19,334 research outputs found
The averaged characteristic polynomial for the Gaussian and chiral Gaussian ensembles with a source
In classical random matrix theory the Gaussian and chiral Gaussian random
matrix models with a source are realized as shifted mean Gaussian, and chiral
Gaussian, random matrices with real , complex ( and
real quaternion ) elements. We use the Dyson Brownian motion model
to give a meaning for general . In the Gaussian case a further
construction valid for is given, as the eigenvalue PDF of a
recursively defined random matrix ensemble. In the case of real or complex
elements, a combinatorial argument is used to compute the averaged
characteristic polynomial. The resulting functional forms are shown to be a
special cases of duality formulas due to Desrosiers. New derivations of the
general case of Desrosiers' dualities are given. A soft edge scaling limit of
the averaged characteristic polynomial is identified, and an explicit
evaluation in terms of so-called incomplete Airy functions is obtained.Comment: 21 page
Random matrices, log-gases and Holder regularity
The Wigner-Dyson-Gaudin-Mehta conjecture asserts that the local eigenvalue
statistics of large real and complex Hermitian matrices with independent,
identically distributed entries are universal in a sense that they depend only
on the symmetry class of the matrix and otherwise are independent of the
details of the distribution. We present the recent solution to this
half-century old conjecture. We explain how stochastic tools, such as the Dyson
Brownian motion, and PDE ideas, such as De Giorgi-Nash-Moser regularity theory,
were combined in the solution.
We also show related results for log-gases that represent a universal model
for strongly correlated systems. Finally, in the spirit of Wigner's original
vision, we discuss the extensions of these universality results to more
realistic physical systems such as random band matrices.Comment: Proceedings of ICM 201
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
Markov Chain Monte Carlo methods are widely used in signal processing and
communications for statistical inference and stochastic optimization. In this
work, we introduce an efficient adaptive Metropolis-Hastings algorithm to draw
samples from generic multi-modal and multi-dimensional target distributions.
The proposal density is a mixture of Gaussian densities with all parameters
(weights, mean vectors and covariance matrices) updated using all the
previously generated samples applying simple recursive rules. Numerical results
for the one and two-dimensional cases are provided
Directed polymer in a random medium of dimension 1+3 : multifractal properties at the localization/delocalization transition
We consider the model of the directed polymer in a random medium of dimension
1+3, and investigate its multifractal properties at the
localization/delocalization transition. In close analogy with models of the
quantum Anderson localization transition, where the multifractality of critical
wavefunctions is well established, we analyse the statistics of the position
weights of the end-point of the polymer of length via the
moments . We measure the generalized
exponents and governing the decay of the typical
values and
disorder-averaged values
respectively. To understand the difference between these exponents, above some threshold , we compute the
probability distributions of over the samples : we
find that these distributions becomes scale invariant with a power-law tail
. These results thus correspond to the Ever-Mirlin scenario [Phys.
Rev. Lett. 84, 3690 (2000)] for the statistics of Inverse Participation Ratios
at the Anderson localization transitions. Finally, the finite-size scaling
analysis in the critical region yields the correlation length exponent .Comment: 10 pages, 15 figure
Phase-averaged transport for quasi-periodic Hamiltonians
For a class of discrete quasi-periodic Schroedinger operators defined by
covariant re- presentations of the rotation algebra, a lower bound on
phase-averaged transport in terms of the multifractal dimensions of the density
of states is proven. This result is established under a Diophantine condition
on the incommensuration parameter. The relevant class of operators is
distinguished by invariance with respect to symmetry automorphisms of the
rotation algebra. It includes the critical Harper (almost-Mathieu) operator. As
a by-product, a new solution of the frame problem associated with
Weyl-Heisenberg-Gabor lattices of coherent states is given
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