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$N$-Branching random walk with $\alpha$-stable spine
B. Malleinab a Laboratoire de Probabilités et Modéles Aléatoires, Université Pierre et Marie Curie (Paris 6)
b Département de Mathématiques et Applications, Ècole Normale Supérieure, Paris, France
Аннотация:
We consider a branching-selection particle system on the real line, introduced by Brunet and Derrida in [
Phys. Rev. E, 56 (1997), pp. 2597–2604]. In this model the size of the population is fixed to a constant
$N$. At each step individuals in the population reproduce independently, making children around their current position. Only the
$N$ rightmost children survive to reproduce at the next step. Bérard and Gouéré studied the speed at which the cloud of individuals drifts in [
Comm. Math. Phys., 298 (2010), pp. 323–342], assuming the tails of the displacement decays at exponential rate; Bérard and Maillard [
Electron. J. Probab., 19 (2014), 22] took interest in the case of heavy tail displacements. We take interest in an intermediate model, considering branching random walks in which the critical “spine” behaves as an
$\alpha$-stable random walk.
Ключевые слова:
branching random walk, selection, stable distribution.
Поступила в редакцию: 23.03.2015
Исправленный вариант: 15.09.2015
Язык публикации: английский
DOI:
10.4213/tvp5117