
MULTIPLE SCALE ASYMPTOTICS OF MAP ENUMERATION
NICHOLAS ERCOLANI1, JOCELINE LEGA2, AND BRANDON TIPPINGS3
Abstract. We introduce a systematic approach to express generating functions for the enumeration of maps
on surfaces of high genus in terms of a single generating function relevant to planar surfaces. Central to
this work is the comparison of two asymptotic expansions obtained from two different fields of mathematics:
the Riemann-Hilbert analysis of orthogonal polynomials and the theory of discrete dynamical systems. By
equating the coefficients of these expansions in a common region of uniform validity in their parameters,
we recover known results and provide new expressions for generating functions associated with graphical
enumeration on surfaces of genera 0 through 7. Although the body of the article focuses on 4-valent maps,
the methodology presented here extends to regular maps of arbitrary even valence and to some cases of odd
valence, as detailed in the appendices.
1. Introduction
This paper combines ideas from random matrix theory and dynamical systems to address a long-standing
question relevant to a particular branch of graph theory, specifically the enumeration of maps. This branch
of graphical enumeration arose in the mid-twentieth century as a first step in addressing the following general
question: given a spatial graph, when can that graph be embedded on a particular type of topological surface?
Some graphs are planar, meaning the graph can be embedded in a plane (or equivalently a sphere) without
being forced to cross itself. The same question can be posed for more general surfaces, thereby setting up a
kind of complexity classification of spatial graphs, or networks, in terms of the topology of surfaces on which
they can or cannot be embedded.
Being able to enumerate graphs subject to topological complexity serves as a first step in understanding
the general role of topological frustration in network theory. There have been quite a few studies in the
physics and mathematics literature related to this problem and in particular toward the construction of
generating functions for this enumeration indexed by graph size (the number of vertices, which we will
denote j). Because the graph size is not bounded, this potentially involves an infinite amount of information
for each topological surface. However, it was shown in [Er11] that these generating functions depend only on
a minimal, specific, finite set of rational parameters. The results discussed in this paper develop a systematic
method for identifying these parameters explicitly.
Amap is a connected graph Γ embedded in a surface Mthat satisfies certain additional conditions. The
surfaces we consider are compact, oriented and connected topological surfaces, each of them being uniquely
specified, up to a homeomorphism, by its genus, g. Embedding a graph, Γ, into Mamounts to embedding
its vertices and edges in such a way that the overall placement of the graph on Mis injective and continuous.
The last additional condition required is that after the surface is cut along the edges of the embedded graph,
what remains is a disjoint union of contractible topological cells. For fixed genus g, we refer to maps satisfying
these conditions as g-maps.
A depiction of a map in a local chart on a surface is illustrated by the dashed black graph embedded in
a planar region shown in Figure 1. Note that in this example all (black) vertices have valence 4 (in the
graph-theoretic sense). Maps whose vertices all have the same valence, V, are referred to as V-regular maps
in analogy with the terminology for graphs. Figure 1also (locally) illustrates the dual map (depicted in
terms of the solid blue graph). The 4-regularity of the original map results in the dual map being a tiling of
the surface by topological rectangles.
1University of Arizona, Department of Mathematics (ercolani@math.arizona.edu).
2University of Arizona, Department of Mathematics (lega@math.arizona.edu, www.math.arizona.edu/~lega/),
3University of Arizona, Department of Mathematics (tippings@arizona.edu).
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arXiv:2210.00668v2 [math-ph] 30 Dec 2022