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