Map enumeration from a dynamical perspective
Nicholas Ercolani, Joceline Lega, Brandon Tippings
TL;DR
The work develops a rigorous, dynamical-systems–inspired framework for map enumeration on genus-g surfaces by coupling discrete Painlevé dynamics with orthogonal-polynomial asymptotics. Central to the approach are four pillars: genus expansion for 2-legged maps, center-manifold expansions around Fixed Points, a rational form for z_g(z0), and a common region of validity that ties the two expansions together to yield explicit generating functions e_g(z0) and counts for 4-valent maps. The methodology produces explicit expressions and non-recursive counts in the 4-valent case and extends, in progress, to mixed-valence (3 and 4) maps and the singular 3-valent limit, with several conjectures and open problems guiding future work. This program connects map enumeration to random matrices, orthogonal polynomials, and discrete dynamical systems, and reveals deep links to special functions and moduli-space invariants such as Bernoulli numbers and orbifold Euler characteristics.
Abstract
This contribution summarizes recent work of the authors that combines methods from dynamical systems theory (discrete Painlevé equations) and asymptotic analysis of orthogonal polynomial recurrences, to address long-standing questions in map enumeration. Given a genus $g$, we present a framework that provides the generating function for the number of maps that can be realized on a surface of that genus. In the case of 4-valent maps, our methodology leads to explicit expressions for map counts. For general even or mixed valence, the number of vertices of the map specifies the relevant order of the derivatives of the generating function that needs to be considered. Beyond summarizing our own results, we provide context for the program highlighted in this article through a brief review of the literature describing advances in map enumeration. In addition, we discuss open problems and challenges related to this fascinating area of research that stands at the intersection of statistical physics, random matrices, orthogonal polynomials, and discrete dynamical systems theory.
