PDE's for the Gaussian ensemble with external source and the Pearcey distribution

dc.creatorAdler, Mark
dc.creatorvan Moerbeke, Pierre
dc.date2005-09-02
dc.date.accessioned2026-07-07T05:22:55Z
dc.date.available2026-07-07T05:22:55Z
dc.descriptionThe present paper studies a Gaussian Hermitian random matrix ensemble with external source, given by a fixed diagonal matrix with two eigenvalues a and -a. As a first result, the probability that the eigenvalues of the ensemble belong to a set satisfies a fourth order PDE with quartic non-linearity; the variables being the eigenvalue a and the boundary points of the set. This equation enables one to find a PDE for the Pearcey distribution. The latter describes the statistics of the eigenvalues near the closure of a gap; i.e., when the support of the equilibrium measure for large size random matrices has a gap, which can be made to close. Precisely, the Gaussian Hermitian random matrix ensemble with external source has this feature. In this work, we show the Pearcey distribution satisfies a a fourth order PDE with cubic non-linearity. The PDE for the finite problem is found by by showing that an appropriate integrable deformation of the random matrix ensemble with external source satisfies the three-component KP equation and Virasoro constraints.
dc.description33 pages
dc.identifierhttps://arxiv.org/abs/math/0509047
dc.identifierhttp://arxiv.org/abs/math/0509047
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/76244
dc.subjectProbability
dc.subjectMathematical Physics
dc.subject60J60, 60J65, 60G55; 35Q53, 35Q58
dc.titlePDE's for the Gaussian ensemble with external source and the Pearcey distribution
dc.typetext

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