Asymptotics of lattice walks via analytic combinatorics in several variables
Stephen Melczer, Mark C. Wilson

TL;DR
This paper rigorously verifies asymptotic guesses for 23 lattice walk models' generating functions using analytic combinatorics in several variables, linking combinatorial properties to asymptotic behavior.
Contribution
It provides the first complete rigorous verification of asymptotics for 23 models by expressing their generating functions as diagonals of rational functions and applying multivariate analytic combinatorics.
Findings
Confirmed asymptotic formulas for 23 lattice walk models.
Linked combinatorial properties to asymptotic growth factors.
Derived explicit expressions for walks returning to axes and origin.
Abstract
We consider the enumeration of walks on the two dimensional non-negative integer lattice with short steps. Up to isomorphism there are 79 unique two dimensional models to consider, and previous work in this area has used the kernel method, along with a rigorous computer algebra approach, to show that 23 of the 79 models admit D-finite generating functions. In 2009, Bostan and Kauers used Pad\'e-Hermite approximants to guess differential equations which these 23 generating functions satisfy, in the process guessing asymptotics of their coefficient sequences. In this article we provide, for the first time, a complete rigorous verification of these guesses. Our technique is to use the kernel method to express 19 of the 23 generating functions as diagonals of tri-variate rational functions and apply the methods of analytic combinatorics in several variables (the remaining 4 models have…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
