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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 2017 Volume 62, Issue 2, Pages 365–392 (Mi tvp5117)

This article is cited in 4 papers

$N$-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

Abstract: 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.

Keywords: branching random walk, selection, stable distribution.

Received: 23.03.2015
Revised: 15.09.2015

Language: English

DOI: 10.4213/tvp5117


 English version:
Theory of Probability and its Applications, 2018, 62:2, 295–318

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