PDE's for the Gaussian ensemble with external source and the Pearcey   distribution
  The 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. 
Mark Adler & Pierre van Moerbeke