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Related papers: Weighted self-avoiding walks

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Let $X$ be an infinite, locally finite, connected, quasi-transitive graph without loops or multiple edges. A graph height function on $X$ is a map adapted to the graph structure, assigning to every vertex an integer, called height. Bridges…

Combinatorics · Mathematics 2019-07-05 Christian Lindorfer

The connective constant $\mu(G)$ of a quasi-transitive graph $G$ is the asymptotic growth rate of the number of self-avoiding walks (SAWs) on $G$ from a given starting vertex. We survey several aspects of the relationship between the…

Combinatorics · Mathematics 2019-07-15 Geoffrey R. Grimmett , Zhongyang Li

We define a new family of self-avoiding walks (SAW) on the square lattice, called weakly directed walks. These walks have a simple characterization in terms of the irreducible bridges that compose them. We determine their generating…

Combinatorics · Mathematics 2025-09-26 Axel Bacher , Mireille Bousquet-Mélou

The connective constant $\mu(G)$ of an infinite transitive graph $G$ is the exponential growth rate of the number of self-avoiding walks from a given origin. The relationship between connective constants and amenability is explored in the…

Group Theory · Mathematics 2015-11-25 Geoffrey R. Grimmett , Zhongyang Li

We study various self-avoiding walks (SAWs) which are constrained to lie in the upper half-plane and are subjected to a compressive force. This force is applied to the vertex or vertices of the walk located at the maximum distance above the…

Mathematical Physics · Physics 2021-12-20 Nicholas R. Beaton , Anthony J. Guttmann , Iwan Jensen , Gregory F. Lawler

Long-distance characteristics of small-world networks have been studied by means of self-avoiding walks (SAW's). We consider networks generated by rewiring links in one- and two-dimensional regular lattices. The number of SAW's $u_n$ was…

Disordered Systems and Neural Networks · Physics 2009-11-10 Carlos P. Herrero , Martha Saboya

Various types of walks on complex networks have been used in recent years to model search and navigation in several kinds of systems, with particular emphasis on random walks. This gives valuable information on network properties, but…

Disordered Systems and Neural Networks · Physics 2019-01-24 Carlos P. Herrero

The connective constant $\mu(G)$ of an infinite transitive graph $G$ is the exponential growth rate of the number of self-avoiding walks from a given origin. In earlier work of Grimmett and Li, a locality theorem was proved for connective…

Combinatorics · Mathematics 2016-08-23 Geoffrey R. Grimmett , Zhongyang Li

Despite its elementary definition, the self-avoiding walk (SAW) poses notoriously hard enumerative problems: exact connective constants are known for only a handful of infinite graphs, notably the honeycomb lattice \cite{ds}. We establish a…

Combinatorics · Mathematics 2026-02-17 Benjamin Grant , Zhongyang Li

This article is concerned with self-avoiding walks (SAW) on $\mathbb{Z}^{d}$ that are subject to a self-attraction. The attraction, which rewards instances of adjacent parallel edges, introduces difficulties that are not present in ordinary…

Probability · Mathematics 2018-12-11 Alan Hammond , Tyler Helmuth

Building on a work by Alm, we consider a model of weighted self-avoiding walks on a lattice and develop a method for computing upper bounds on the corresponding weighted connective constant, which we implement in a publicly available…

Probability · Mathematics 2026-01-12 Qidong He

Several kinds of walks on complex networks are currently used to analyze search and navigation in different systems. Many analytical and computational results are known for random walks on such networks. Self-avoiding walks (SAWs) are…

Disordered Systems and Neural Networks · Physics 2009-11-10 Carlos P. Herrero

We study dynamical and computational properties of the set of bi-infinite self-avoiding walks on Cayley graphs, as well as ways to compute, approximate and bound their connective constant. To do this, we introduce the skeleton $X_{G,S}$ of…

Combinatorics · Mathematics 2024-09-25 Nathalie Aubrun , Nicolás Bitar

We define a new ensemble for self-avoiding walks in the upper half-plane, the fixed irredicible bridge ensemble, by considering self-avoiding walks in the upper half-plane up to their $n$-th bridge height, $Y_n$, and scaling the walk by…

Mathematical Physics · Physics 2015-06-23 Michael James Gilbert

The connective constant $\mu(G)$ of a graph $G$ is the asymptotic growth rate of the number of self-avoiding walks on $G$ from a given starting vertex. We survey three aspects of the dependence of the connective constant on the underlying…

Combinatorics · Mathematics 2015-03-29 Geoffrey R. Grimmett , Zhongyang Li

We introduce classes of restricted walks, surfaces and their generalisations. For example, self-osculating walks (SOWs) are supersets of self-avoiding walks (SAWs) where edges are still not allowed to cross but may 'kiss' at a vertex. They…

Combinatorics · Mathematics 2025-09-08 Sun Woo P. Kim , Gabriele Pinna

The connective constant $\mu(G)$ of a quasi-transitive graph $G$ is the exponential growth rate of the number of self-avoiding walks from a given origin. We prove a locality theorem for connective constants, namely, that the connective…

Combinatorics · Mathematics 2018-08-21 Geoffrey R. Grimmett , Zhongyang Li

We consider a self-avoiding walk on the dual $\mathbb{Z}^2$ lattice. This walk can traverse the same square twice but cannot cross the same edge more than once. The weight of each square visited by the walk depends on the way the walk…

Probability · Mathematics 2016-01-05 Alexander Glazman

A self-avoiding walk (SAW) is a path on a graph that visits each vertex at most once. The mean square displacement of an $n$-step SAW is the expected value of the square of the distance between the ending point and the starting point of an…

Mathematical Physics · Physics 2020-07-09 Zhongyang Li

Self-avoiding walks (SAW) are the source of very difficult problems in probabilities and enumerative combinatorics. They are also of great interest as they are, for instance, the basis of protein structure prediction in bioinformatics.…

Biomolecules · Quantitative Biology 2013-06-07 Jacques M. Bahi , Christophe Guyeux , Jean-Marc Nicod , Laurent Philippe
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