A ribbon graph derivation of the algebra of functional renormalization for random multi-matrices with multi-trace interactions
Carlos I. Perez-Sanchez

TL;DR
This paper derives the algebraic structure underlying the functional renormalization process for ensembles of multiple random matrices with multi-trace interactions, using ribbon graphs and one-loop structure considerations.
Contribution
It introduces a ribbon graph-based derivation of the algebra of functional renormalization for multi-matrix ensembles with complex multi-trace potentials, extending previous frameworks.
Findings
Derived the algebraic structure from ribbon graphs using one-loop renormalization assumptions.
Identified the matrix algebra with entries in a specific algebraic structure involving free algebras.
Provided explicit multiplication rules for the algebraic symbols involved in the renormalization flow.
Abstract
We focus on functional renormalization for ensembles of several (say ) random matrices, whose potentials include multi-traces, to wit, the probability measure contains factors of the form for certain noncommutative polynomials in the matrices. This article shows how the "algebra of functional renormalization" -- that is, the structure that makes the renormalization flow equation computable -- is derived from ribbon graphs, only by requiring the one-loop structure that such equation (due to Wetterich) is expected to have. Whenever it is possible to compute the renormalization flow in terms of -invariants, the structure gained is the matrix algebra with entries in $\mathcal{A}_{n,N}=(\mathbb{C}_{\langle n \rangle}…
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