Noisy multistate voter model for flocking in finite dimensions
Ernesto S. Loscar, Gabriel Baglietto, Federico Vazquez

TL;DR
This paper investigates a noisy multistate voter model for flocking, showing how particle motion and noise influence collective order, with phase transitions characterized in static and moving particle scenarios.
Contribution
It introduces a model combining voter dynamics with particle motion, revealing how movement sustains order and characterizing phase transitions in finite dimensions.
Findings
Static particles reach disorder at any noise level in the thermodynamic limit.
Moving particles exhibit an order-disorder transition at a noise level proportional to their speed.
Finite-size transition noise scales inversely with system size, depending on dimensionality.
Abstract
We study a model for the collective behavior of self-propelled particles subject to pairwise copying interactions and noise. Particles move at a constant speed on a two--dimensional space and, in a single step of the dynamics, each particle adopts the direction of motion of a randomly chosen neighboring particle, with the addition of a perturbation of amplitude (noise). We investigate how the global level of particles' alignment (order) is affected by their motion and the noise amplitude . In the static case scenario where particles are fixed at the sites of a square lattice and interact with their first neighbors, we find that for any noise the system reaches a steady state of complete disorder in the thermodynamic limit, while for full order is eventually achieved for a system with any number of particles . Therefore, the model displays a…
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