Published June 2015 | Version v1
Journal article

A Boltzmann model for rod alignment and schooling fish

  • 1. Department of Mathematics, Rutgers University 110 Frelinghuysen Rd., Piscataway NJ 08854-8019 (United States)
  • 2. Department of Mathematics and CMAF, University of Lisbon, Av. Prof. Gama Pinto 2, 1649-003 Lisbon (Portugal)
  • 3. Department of Mathematics, Imperial College London, London SW7 2AZ (United Kingdom)
  • 4. Department of Mathematical Sciences, Chalmers University of Technology, SE41296 Göteborg (Sweden)

Description

We consider a Boltzmann model introduced by Bertin, Droz and Grégoire as a binary interaction model of the Vicsek alignment interaction. This model considers particles lying on the circle. Pairs of particles interact by trying to reach their mid-point (on the circle) up to some noise. We study the equilibria of this Boltzmann model and we rigorously show the existence of a pitchfork bifurcation when a parameter measuring the inverse of the noise intensity crosses a critical threshold. The analysis is carried over rigorously when there are only finitely many non-zero Fourier modes of the noise distribution. In this case, we can show that the critical exponent of the bifurcation is exactly 1/2. In the case of an infinite number of non-zero Fourier modes, a similar behavior can be formally obtained thanks to a method relying on integer partitions first proposed by Ben-Naïm and Krapivsky. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0951-7715/28/6/1783

Additional details

Identifiers

Publishing Information

Journal Title
Nonlinearity (Print)
Journal Volume
28
Journal Issue
6
Journal Page Range
p. 1783-1803
ISSN
0951-7715

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47120758
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALIGNMENT; BIFURCATION; BOLTZMANN EQUATION; DISTRIBUTION; EQUILIBRIUM; FOURIER ANALYSIS; INTERACTIONS; NOISE; PARTICLES; PARTITION
Descriptors DEC
DIFFERENTIAL EQUATIONS; EQUATIONS; INTEGRO-DIFFERENTIAL EQUATIONS; KINETIC EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS