Year: 2025
Type: article
Abstract: We study the large-scale dynamics of event-chain Monte Carlo (ECMC) algorithms in one dimension and their relation to the true self-avoiding walk. In particular, we study the influence of stress and different forms of interaction on the equilibration and sampling properties of algorithms that satisfy global balance but not local balance. We conclude that a broad class of interaction potentials, corresponding to different physical systems, display identical large-scale dynamics.
Source: Physical review. E
Author: A. C. Maggs
Language: English
Subfield: Condensed Matter Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4403407041