A lattice point counting approach for the study of the number of self-avoiding walks on $\mathbb{Z}^{d}$

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 $d\geq 2$.

Publication Details

Journal
ArXiv.org
Published
2025-04-17
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A lattice point counting approach for the study of the number of self-avoiding walks on $\mathbb{Z}^{d}$

ArXiv.org
Stochastic processes and statistical mechanics
article

A lattice point counting approach for the study of the number of self-avoiding walks on $\mathbb{Z}^{d}$

article en

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 $d\geq 2$.

ArXiv.org
Openalex Percentile: Top 44%
Stochastic processes and statistical mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A lattice point counting approach for the study of the number of self-avoiding walks on $\mathbb{Z}^{d}$ · ArXiv.org (2025) | TGRS Research Map | TGRS