Saved in:
Bibliographic Details
Main Author: Sambey, Stanley Everett
Format: Recurso digital
Language:
Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19489826
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866902126314127360
author Sambey, Stanley Everett
author_facet Sambey, Stanley Everett
contents <p>We investigate persistence of topological structures in a stochastic lattice model under<br>varying levels of constraint coupling. Holding all dynamical rules fixed, we vary a sin-<br>gle parameter γ controlling irreversible distinguishability. Below a threshold γc ≈ 0.44,<br>vortex structures rapidly annihilate, yielding near-zero long-term populations. Above this<br>threshold, persistent vortices emerge and survive for the full duration of simulations. This<br>transition-like behavior is robust across independent realizations.<br>The results demonstrate that persistence in this class of models is not guaranteed by<br>dynamics alone but requires irreversible constraint coupling above a critical level. While the<br>model is specific, it provides a minimal example of threshold-dependent persistence driven<br>by constraint structure rather than energy minimization.</p> <p><br>Keywords: irreversible constraint pruning, persistence, nonequilibrium dynamics, thresh-<br>old behavior, topological defects, lattice simulation, distinguishability, absorbing-state tran-<br>sitions</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19489826
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Absence of Reversible Branch Convergence in Stochastic Lattice Dynamics
Sambey, Stanley Everett
<p>We investigate persistence of topological structures in a stochastic lattice model under<br>varying levels of constraint coupling. Holding all dynamical rules fixed, we vary a sin-<br>gle parameter γ controlling irreversible distinguishability. Below a threshold γc ≈ 0.44,<br>vortex structures rapidly annihilate, yielding near-zero long-term populations. Above this<br>threshold, persistent vortices emerge and survive for the full duration of simulations. This<br>transition-like behavior is robust across independent realizations.<br>The results demonstrate that persistence in this class of models is not guaranteed by<br>dynamics alone but requires irreversible constraint coupling above a critical level. While the<br>model is specific, it provides a minimal example of threshold-dependent persistence driven<br>by constraint structure rather than energy minimization.</p> <p><br>Keywords: irreversible constraint pruning, persistence, nonequilibrium dynamics, thresh-<br>old behavior, topological defects, lattice simulation, distinguishability, absorbing-state tran-<br>sitions</p>
title Absence of Reversible Branch Convergence in Stochastic Lattice Dynamics
url https://doi.org/10.5281/zenodo.19489826