Lectures on random matrix models. The Riemann-Hilbert approach

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dc.creatorBleher, Pavel M.
dc.date2008-01-11
dc.date2008-06-26
dc.date.accessioned2026-07-07T09:46:31Z
dc.date.available2026-07-07T09:46:31Z
dc.descriptionThis is a review of the Riemann-Hilbert approach to the large $N$ asymptotics in random matrix models and its applications. We discuss the following topics: random matrix models and orthogonal polynomials, the Riemann-Hilbert approach to the large $N$ asymptotics of orthogonal polynomials and its applications to the problem of universality in random matrix models, the double scaling limits, the large $N$ asymptotics of the partition function, and random matrix models with external source.
dc.description84 pages, 23 figures, to appear in the CRM volume on "Random Matrices", Springer, 2008
dc.identifierhttps://arxiv.org/abs/0801.1858
dc.identifierhttp://arxiv.org/abs/0801.1858
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/163555
dc.subjectMathematical Physics
dc.subject82B23
dc.titleLectures on random matrix models. The Riemann-Hilbert approach
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