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

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. I...

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Veröffentlicht in:Journal of statistical physics 2019-06, Vol.175 (6), p.1311-1330
Hauptverfasser: Liu, Jian-Guo, Niethammer, B., Pego, Robert L.
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Sprache:eng
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Zusammenfassung: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.
ISSN:0022-4715
1572-9613
DOI:10.1007/s10955-019-02280-w