Name:
Ercolani_2023_Nonlinearity_36_ ...
Size:
958.8Kb
Format:
PDF
Description:
Final Published Version
Affiliation
Department of Mathematics, University of ArizonaIssue Date
2023-02-03
Metadata
Show full item recordPublisher
Institute of PhysicsCitation
Ercolani, Nicholas, Joceline Lega, and Brandon Tippings. "Multiple scale asymptotics of map enumeration." Nonlinearity 36.3 (2023): 1663.Journal
NonlinearityRights
© 2023 IOP Publishing Ltd & London Mathematical Society. Original Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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. © 2023 IOP Publishing Ltd & London Mathematical Society.Note
Open access articleISSN
0951-7715Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1088/1361-6544/acb47d
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2023 IOP Publishing Ltd & London Mathematical Society. Original Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.