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    Random matrix ensembles: Wang-Landau algorithm for spectral densities

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    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 GL3(F){\rm GL}_3(F)

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    Let FF be any non-Archimedean local field with residue field of cardinality qFq_F. In this article, we obtain a classification of typical representations for the Bernstein components associated to the inertial classes of the form [GLn(F)×F×,σχ][{\rm GL}_n(F)\times F^\times, \sigma\otimes\chi] with qF>2q_F>2, and for the principal series components with qF>3q_F>3. With this we complete the classification of typical representations for GL3(F){\rm GL}_3(F), for qF>2q_F>2.Comment: Final accepted versio
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