Loop Vertex Representation for Cumulants, Part II: Weingarten Calculus
Vincent Rivasseau
TL;DR
This work develops a constructive, convergent expansion for scalar cumulants of even-order Weingarten-calculus-based random matrix ensembles within the loop vertex representation (LVR). By leveraging Fuss–Catalan combinatorics, contour-integral vertex methods, and Weingarten functions, the authors express cumulants as absolutely convergent sums over LVR trees with explicit bounds and analytic dependence on the coupling $\lambda$, plus controlled remainders. The main contributions include analyticity and Borel summability of the cumulant expansions for $1\le {\mathcal K} \le {\mathcal K}_{\max}$, with uniform-in-$N$ estimates and a rigorous link to the Borel–LeRoy–Nevanlinna–Sokal framework (via $q\to p-1$). This provides a robust, nonperturbative handle on large-$N$ limits for complex matrix models with higher-degree interactions, connecting loop-vertex techniques to 2D quantum gravity map combinatorics through Weingarten calculus.
Abstract
In this paper we construct scalar cumulants for stable random matrix models with single trace interactions of arbitrarily high even order by Weingarten calculus. We obtain explicit and convergent expansions for these scalar cumulants in the limit N tend to infinity.
