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Information flow in finite flocks.

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  • 1School of Computing & Mathematics, Charles Sturt University, Bathurst, NSW, Australia. jbrown@csu.edu.au.

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Summary
This summary is machine-generated.

Information flow in active matter flocks does not peak at phase transitions. Transfer entropy remains constant in ordered regimes, unlike in magnetic models, offering insights for complex systems.

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Area of Science:

  • Physics of complex systems
  • Statistical mechanics
  • Collective behavior

Background:

  • Active matter systems exhibit collective behaviors like flocking.
  • Understanding information flow is crucial for characterizing these emergent phenomena.
  • The Vicsek model is a standard model for simulating flocking behavior.

Purpose of the Study:

  • To investigate information flow dynamics in finite active matter flocks.
  • To analyze the relationship between noise levels and information transfer.
  • To compare information flow in flocking systems with magnetic systems.

Main Methods:

  • Simulation of the canonical Vicsek model.
  • Estimation of information flow using transfer entropy.
  • Analysis of transfer entropy as a function of noise parameter.

Main Results:

  • Global transfer entropy in finite flocks does not peak at the phase transition.
  • Transfer entropy remains constant from the transition into the ordered regime, even at low noise.
  • This behavior contrasts with findings from the 2D Ising model.

Conclusions:

  • The information flow in finite active matter flocks exhibits distinct characteristics compared to equilibrium systems.
  • Constant transfer entropy in the ordered regime suggests robust information propagation.
  • Findings provide a basis for studying information flow in more complex active matter models and real-world data.