Integrable structure of products of finite complex Ginibre random matrices

Abstract

We consider the squared singular values of the product of $M$ standard complex Gaussian matrices. Since the squared singular values form a determinantal point process with a particular Meijer G-function kernel, the gap probabilities are given by a Fredholm determinant based on this kernel. It was shown by Strahov \cite{St14} that a hard edge scaling limit of the gap probabilities is described by Hamiltonian differential equations which can be formulated as an isomonodromic deformation system similar to the theory of the Kyoto school. We generalize this result to the case of finite matrices by first finding a representation of the finite kernel in integrable form. As a result we obtain the Hamiltonian structure for a finite size matrices and formulate it in terms of a $(M+1)\times (M+1)$ matrix Schlesinger system. The case $M=1$ reproduces the Tracy and Widom theory which results in the Painlevé V equation for the $(0,s)$ gap probability. Some integrals of motion for $M=2$ are identified, and a coupled system of differential equations in two unknowns is presented which uniquely determines the corresponding $(0,s)$ gap probability.

38 pages, no figures

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Cited by in corpus (3)

• Schwinger-Dyson and loop equations for a product of square Ginibre random matrices
• Gap probability for products of random matrices in the critical regime
• Fox H-kernel and $\theta$-deformation of the Cauchy two-matrix model and Bures ensemble