$q$-deformation of the Marchenko-Pastur law
Sung-Soo Byun, Yeong-Gwang Jung, Guido Mazzuca
TL;DR
The paper introduces a $q$-deformation of the Marchenko–Pastur law through the little $q$-Laguerre unitary ensemble on a one-sided $q$-lattice with double-scaling $q=e^{-\lambda/N}$. It proves that the limiting spectral distribution is a $q$-deformed MP law $\rho^{(c)}(x)$ that exhibits a phase transition at $\lambda_c$, separating a single band from a band-plus-saturated region, and provides three complementary derivations via moments, constrained equilibrium, and zero distributions to establish convergence of the empirical measure and a large deviation principle. The authors also derive closed-form spectral moments and their large-$N$ expansions, tying discrete log-gas ensembles to integrable probability and last-passage percolation through the combinatorics of $q$-Laguerre polynomials. This work extends fundamental spectral laws of random matrix theory to $q$-deformed, discrete settings and offers rigorous tools for analyzing phase separation and large deviations in such models. The results deepen the connection between $q$-orthogonal polynomials, logarithmic potential theory under an upper constraint, and the asymptotics of discrete random matrix ensembles.
Abstract
We study a $q$-deformed random unitary ensemble associated with the little-$q$ Laguerre weight, which provides a discrete analogue of the classical Laguerre unitary ensemble. In the double scaling regime $q=e^{-λ/N}$, where $N$ is the system size and $λ\ge 0$, we derive the limiting spectral distribution as $N\to \infty$, which yields a $q$-deformation of the Marchenko-Pastur law. The limiting density undergoes a phase transition at an explicitly determined critical value $λ_c$: for $λ<λ_c$, the support consists of a single band region, whereas for $λ>λ_c$ an additional saturated region emerges adjacent to the band region. Our derivation of the limiting distribution is based on three complementary approaches: the method of moments, the analysis of a constrained equilibrium problem, and the asymptotic zero distribution of orthogonal polynomials. As a consequence, we establish the convergence of the empirical measure as well as a large deviation principle. In addition, we derive closed-form expressions for the spectral moments using the combinatorial structure of orthogonal polynomials, and obtain large-$N$ expansions for these moments.
