A Diagrammatic Equation for Oriented Planar Graphs
Razvan Gurau

TL;DR
This paper introduces a diagrammatic equation for oriented planar graphs in non-Hermitian random matrix models, derived via graph counting and saddle point analysis, revealing duality properties in the solutions.
Contribution
It presents a novel diagrammatic equation for the planar sector of non-Hermitian matrix models, connecting graph counting with saddle point methods.
Findings
Derived a fundamental diagrammatic equation for planar graphs
Solved the equation perturbatively for generic models
Identified duality properties in the perturbative solutions
Abstract
In this paper we introduce a diagrammatic equation for the planar sector of square non hermitian random matrix models strongly reminiscent of Polchinski's equation in quantum field theory. Our fundamental equation is first obtained by a graph counting argument and subsequently derived independently by a precise saddle point analysis of the corresponding random matrix integral. We solve the equation perturbatively for a generic model and conclude by exhibiting two duality properties of the perturbative solution.
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