A lattice point counting approach for the study of the number of self-avoiding walks on $\mathbb{Z}^{d}$
Youssef Lazar
TL;DR
This paper recasts the problem of counting self-avoiding walks on $\\mathbb{Z}^d$ as a lattice-point counting task in multidimensional domains, and uses Fourier analysis together with the Poisson summation formula to derive an asymptotic for $c_n$ (and its dimensionally extended form $c_n(d)$). The leading term is governed by the volume term corresponding to the zero Fourier mode, and an explicit high-dimensional integral involving products of $\\mathrm{sinc}$ and Bessel functions $J_1$ encodes the main behavior. The authors establish a unified framework that not only yields asymptotics for $c_n$ but also provides a route to the mean squared displacement of SAWs, offering insights transferable to lattices of any dimension $d\\ge 2$. While the exact evaluation of the resulting multidimensional integrals remains challenging, the method connects SAW enumeration to concrete analytically tractable objects and opens a path toward rigorous bounds and further dimensional generalizations.
Abstract
We reduce the problem of counting self-avoiding walks in the square lattice to a problem of counting the number of integral points in multidimensional domains. We obtain an asymptotic estimate of the number of self-avoiding walks of length $n$ in the square lattice. This new formalism gives a natural and unified setting in order to study the properties of the number of self-avoiding walks in the lattice $\mathbb{Z}^{d}$ of any dimension $d\geq 2$.
