A Markov jump process modelling animal group size statistics - Archive ouverte HAL
Article Dans Une Revue Communications in Mathematical Sciences Année : 2020

A Markov jump process modelling animal group size statistics

Pierre Degond
Maximilian Engel
  • Fonction : Auteur
Jian-Guo Liu
  • Fonction : Auteur
  • PersonId : 858254
Robert L Pego
  • Fonction : Auteur
  • PersonId : 1032208

Résumé

We translate a coagulation-framentation model, describing the dynamics of animal group size distributions , into a model for the population distribution and associate the nonlinear evolution equation with a Markov jump process of a type introduced in classic work of H. McKean. In particular this formalizes a model suggested by H.-S. Niwa [J. Theo. Biol. 224 (2003)] with simple coagulation and fragmentation rates. Based on the jump process, we develop a numerical scheme that allows us to approximate the equilibrium for the Niwa model, validated by comparison to analytical results by Degond et al. [J. Nonlinear Sci. 27 (2017)], and study the population and size distributions for more complicated rates. Furthermore, the simulations are used to describe statistical properties of the underlying jump process. We additionally discuss the relation of the jump process to models expressed in stochastic differential equations and demonstrate that such a connection is justified in the case of nearest-neighbour interactions, as opposed to global interactions as in the Niwa model.
Fichier principal
Vignette du fichier
1901.01169.pdf (1.31 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02499514 , version 1 (05-03-2020)

Identifiants

  • HAL Id : hal-02499514 , version 1

Citer

Pierre Degond, Maximilian Engel, Jian-Guo Liu, Robert L Pego. A Markov jump process modelling animal group size statistics. Communications in Mathematical Sciences, 2020, 18, pp.55-89. ⟨hal-02499514⟩
58 Consultations
141 Téléchargements

Partager

More