On largest offspring in a critical branching process with finite variance

Bertoin, Jean (2013). On largest offspring in a critical branching process with finite variance. Journal of Applied Probability, 50(3):791-800.

Abstract

Continuing the work in Bertoin (2011) we study the distribution of the maximal number X*k of offspring amongst all individuals in a critical Galton-Watson process started with k ancestors, treating the case when the reproduction law has a regularly varying tail F with index -α for α < 2 (and, hence, finite variance). We show that X*k suitably normalized converges in distribution to a Fréchet lawwith shape parameter α/2; this contrasts sharply with the case 1 < α < 2 when the variance is infinite. More generally, we obtain a weak limit theorem for the offspring sequence ranked in decreasing order, in terms of atoms of a certain doubly stochastic Poisson measure.

Abstract

Continuing the work in Bertoin (2011) we study the distribution of the maximal number X*k of offspring amongst all individuals in a critical Galton-Watson process started with k ancestors, treating the case when the reproduction law has a regularly varying tail F with index -α for α < 2 (and, hence, finite variance). We show that X*k suitably normalized converges in distribution to a Fréchet lawwith shape parameter α/2; this contrasts sharply with the case 1 < α < 2 when the variance is infinite. More generally, we obtain a weak limit theorem for the offspring sequence ranked in decreasing order, in terms of atoms of a certain doubly stochastic Poisson measure.

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