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University of Cambridge > Talks.cam > Applied and Computational Analysis > Matrix models for beta-ensembles
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If you have a question about this talk, please contact ai10. In this talk, I will give a brief overview of both classical and modern ideas related to random matrix theory, with emphasis on beta-ensembles for general beta positive. These random matrices have eigenvalues following the Gibbs distribution for n particles of the Coulomb gas on the unit circle or the real line, at inverse temperature beta. In particular, I will highlight the change of perspective, from the classical unitary ensembles, which incorporate a lot of symmetry, to these new ensembles, which are very sparse, and some of the methods we use in our construction, inspired by orthogonal polynomial theory. Finally, I will present some of the consequences of these constructions, for example their relation to stochastic PDEs. This talk is part of the Applied and Computational Analysis series. This talk is included in these lists:
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