Application of the $\tau$-function theory of Painlev\'e equations to random matrices: \PV, \PIII, the LUE, JUE and CUE
P.J. Forrester, N.S. Witte

TL;DR
This paper connects eigenvalue distribution functions in random matrix ensembles to Painlevé equations via au-functions, providing new differential equations and relations for edge scaling limits and ensemble averages.
Contribution
It demonstrates that certain eigenvalue distribution functions are au-functions of Painlevé equations, linking random matrix theory with integrable systems and deriving new differential equations.
Findings
Eigenvalue distribution functions are au-functions of Painlevé equations.
Derived differential equations for edge scaling limits.
Connected ensemble averages to Painlevé au-functions.
Abstract
With denoting an average with respect to the eigenvalue PDF for the Laguerre unitary ensemble, the object of our study is for and , where for and otherwise. Using Okamoto's development of the theory of the Painlev\'e V equation, it is shown that is a -function associated with the Hamiltonian therein, and so can be characterised as the solution of a certain second order second degree differential equation, or in terms of the solution of certain difference equations. The cases and are of particular interest as they correspond to the cumulative distribution and density function respectively for the smallest and largest eigenvalue. In the case…
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Taxonomy
TopicsRandom Matrices and Applications · Matrix Theory and Algorithms · Quantum chaos and dynamical systems
