Higher Dimensional Lattice Walks: Connecting Combinatorial and Analytic Behavior
Stephen Melczer, Mark C. Wilson

TL;DR
This paper advances the analysis of lattice walks in higher dimensions by deriving asymptotics for models with complex singularities, extending previous methods, and confirming conjectured asymptotics for specific two-dimensional cases.
Contribution
It develops new asymptotic formulas for lattice walks with non-smooth singularities, connecting combinatorial and analytic techniques in higher dimensions.
Findings
Asymptotics for models with asymmetric step sets
Closed-form asymptotics for certain symmetric models
Rigorous proof of conjectured 2D walk asymptotics
Abstract
We consider the enumeration of walks on the non-negative lattice , with steps defined by a set . Previous work in this area has established asymptotics for the number of walks in certain families of models by applying the techniques of analytic combinatorics in several variables (ACSV), where one encodes the generating function of a lattice path model as the diagonal of a multivariate rational function. Melczer and Mishna obtained asymptotics when the set of steps is symmetric over every axis; in this setting one can always apply the methods of ACSV to a multivariate rational function whose whose set of singularities is a smooth manifold (the simplest case). Here we go further, providing asymptotics for models with generating functions that must be encoded by multivariate rational functions with…
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