Stochastic analysis of the extra clustering model for animal grouping

Michael Drmota, Michael Fuchs*, Yi Wen Lee

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

We consider the extra clustering model which was introduced by Durand et al. (J Theor Biol 249(2):262–270, 2007) in order to describe the grouping of social animals and to test whether genetic relatedness is the main driving force behind the group formation process. Durand and François (J Math Biol 60(3):451–468, 2010) provided a first stochastic analysis of this model by deriving (amongst other things) asymptotic expansions for the mean value of the number of groups. In this paper, we will give a much finer analysis of the number of groups. More precisely, we will derive asymptotic expansions for all higher moments and give a complete characterization of the possible limit laws. In the most interesting case (neutral model), we will prove a central limit theorem with a surprising normalization. In the remaining cases, the limit law will be either a mixture of a discrete and continuous law or a discrete law. Our results show that, except of in degenerate cases, strong concentration around the mean value takes place only for the neutral model, whereas in the remaining cases there is also mass concentration away from the mean.

Original languageEnglish
Pages (from-to)123-159
Number of pages37
JournalJournal of Mathematical Biology
Volume73
Issue number1
DOIs
StatePublished - 1 Jul 2016

Keywords

  • Limit laws
  • Moments
  • Number of groups
  • Singularity perturbation analysis
  • Social animals

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