Published June 30, 2019 | Version v1
Journal article

Self-similar Spreading in a Merging-Splitting Model of Animal Group Size

  • 1. Duke University, Department of Physics and Department of Mathematics (United States)
  • 2. Universität Bonn, Institut für Angewandte Mathematik (Germany)
  • 3. Carnegie Mellon University, Department of Mathematics and Center for Nonlinear Analysis (United States)

Description

In a recent study of certain merging-splitting models of animal-group size (Degond et al. in J Nonlinear Sci 27(2):379–424, 2017), it was shown that an initial size distribution with infinite first moment leads to convergence to zero in weak sense, corresponding to unbounded growth of group size. In the present paper we show that for any such initial distribution with a power-law tail, the solution approaches a self-similar spreading form. A one-parameter family of such self-similar solutions exists, with densities that are completely monotone, having power-law behavior in both small and large size regimes, with different exponents.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Statistical Physics
Journal Volume
175
Journal Issue
6
Journal Page Range
p. 1311-1330
ISSN
0022-4715
CODEN
JSTPBS

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54086666
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CONVERGENCE; DENSITY; DISTRIBUTION; EQUILIBRIUM; NONLINEAR PROBLEMS
Descriptors DEC
PHYSICAL PROPERTIES

Optional Information

Copyright
Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature