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Artículo

Flocking dynamics with voter-like interactions

Baglietto, GabrielIcon ; Vazquez, FedericoIcon
Fecha de publicación: 03/2018
Editorial: IOP Publishing
Revista: Journal of Statistical Mechanics: Theory and Experiment
ISSN: 1742-5468
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Físicas

Resumen

We study the collective motion of a large set of self-propelled particles subject to voter-like interactions. Each particle moves on a 2D space at a constant speed in a direction that is randomly assigned initially. Then, at every step of the dynamics, each particle adopts the direction of motion of a randomly chosen neighboring particle. We investigate the time evolution of the global alignment of particles measured by the order parameter j, until complete order j=1.0 is reached (polar consensus). We find that j increases as t^ 1/2 for short times and approaches 1.0 exponentially fast for longer times. Also, the mean time to consensus τ varies non-monotonically with the density of particles ρ, reaching a minimum at some intermediate density ρmin. At ρmin , the mean consensus time scales with the system size N as τmin ≈ N^0.765 , and thus the consensus is faster than in the case of all-to-all interactions (large ρ) where τ=2N . We show that the fast consensus, also observed at intermediate and high densities, is a consequence of the segregation of the system into clusters of equally-oriented particles which breaks the balance of transitions between directional states in well mixed systems.
Palabras clave: Scaling in socio-economic systems , Self-propelled particles , Stochastic particle dynamics , Stochastic processes , Scaling in socio-economic systems , Self-propelled particles
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/89276
URL: https://iopscience.iop.org/article/10.1088/1742-5468/aaac3e
DOI: https://doi.org/10.1088/1742-5468/aaac3e
Colecciones
Articulos(IFLYSIB)
Articulos de INST.FISICA DE LIQUIDOS Y SIST.BIOLOGICOS (I)
Citación
Baglietto, Gabriel; Vazquez, Federico; Flocking dynamics with voter-like interactions; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2018; 3; 3-2018
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