Lyapunov exponent in the Vicsek model
arXiv:2008.09723 · doi:10.1103/PhysRevE.105.014213
Abstract
The well-known Vicsek model describes the dynamics of a flock of self-propelled particles (SPPs). Surprisingly, there is no direct measure of the chaotic behavior of such systems. Here, we discuss the dynamical phase transition present in Vicsek systems in light of the largest Lyapunov exponent (LLE), which is numerically computed by following the dynamical evolution in tangent space for up to two million SPPs. As discontinuities in the neighbor weighting factor hinder the computations, we propose a smooth form of the Vicsek model. We find a chaotic regime for the collective behavior of the SPPs based on the LLE. The dependence of LLE with the applied noise, used as a control parameter, changes sensibly in the vicinity of the well-known transition points of the Vicsek model.
arXiv comment7 pages, 16 equations, 6 figures
References in corpus (11)
- Novel type of phase transition in a system of self-driven particles
- Onset of collective and cohesive motion
- Brownian motors
- Swarming, Schooling, Milling: Phase diagram of a data-driven fish school model
- The Physics of the Vicsek Model
- Artificial Rheotaxis
- Model of collective fish behavior with hydrodynamic interactions
- Geometry of dynamics, Lyapunov exponents and phase transitions
- Mean-field limit for the stochastic Vicsek model
- Pattern formation in flocking models: A hydrodynamic description
- Dry Active Matter exhibits a self-organized 'Cross Sea' Phase