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Random matrix ensembles: Wang-Landau algorithm for spectral densities
We propose a method based on the Wang-Landau algorithm to numerically
generate the spectral densities of random matrix ensembles. The method employs
Dyson's log-gas formalism for random matrix eigenvalues and also enables one to
simultaneously investigate the thermodynamic properties. This approach is a
powerful alternative to the conventionally used Monte Carlo simulations based
on the Boltzmann sampling, and is ideally suited for investigating
beta-ensembles.Comment: 8 pages, 5 figures, To appear in EP
On classification of typical representations for
Let be any non-Archimedean local field with residue field of cardinality
. In this article, we obtain a classification of typical representations
for the Bernstein components associated to the inertial classes of the form
with , and for the
principal series components with . With this we complete the
classification of typical representations for , for .Comment: Final accepted versio
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