Phase transition in the scalar noise model of collective motion in three dimensions
arXiv:0801.0151 · doi:10.1140/epjst/e2008-00630-2
Abstract
We consider disorder-order phase transitions in the three-dimensional version of the scalar noise model (SNM) of flocking. Our results are analogous to those found for the two-dimensional case. For small velocity (v <= 0.1) a continuous, second-order phase transition is observable, with the diffusion of nearby particles being isotropic. By increasing the particle velocities the phase transition changes to first order, and the diffusion becomes anisotropic. The first-order transition in the latter case is probably caused by the interplay between anisotropic diffusion and periodic boundary conditions, leading to a boundary condition dependent symmetry breaking of the solutions.
arXiv comment7 pages, 6 figures; submitted to EPJ on 17 of April, 2007
References in corpus (10)
- Novel type of phase transition in a system of self-driven particles
- Flocks, herds, and schools: A quantitative theory of flocking
- Onset of collective and cohesive motion
- Spontaneously ordered motion of self-propelled particles
- Phase transitions in systems of self-propelled agents and related network models
- Sound waves and the absence of Galilean invariance in flocks
- New aspects of the continuous phase transition in the scalar noise model (SNM) of collective motion
- Pattern Formation and Functionality in Swarm Models
- Collective motion of organisms in three dimensions
- Lattice-gas model for collective biological motion
Cited by in corpus (7)
- The Mechanics and Statistics of Active Matter
- Collective behaviour without collective order in wild swarms of midges
- Finite-size scaling as a way to probe near-criticality in natural swarms
- Turning with the others: novel transitions in an SPP model with coupling of accelerations
- Criticality and the Onset of Ordering in the Standard Vicsek Model
- Cohesive motion in one-dimensional flocking
- Active Lévy Matter: Anomalous Diffusion, Hydrodynamics and Linear Stability