Large deviations of branching process in a random environment. II

A. V. Shklyaev

Diskretnaya Matematika, Tome 32 (2020) no. 1, pp. 135-156.

Résumé

We consider the probabilities of large deviations for the branching process $ Z_n $ in a random environment, which is formed by independent identically distributed variables. It is assumed that the associated random walk $ S_n = \xi_1 + \ldots + \xi_n $ has a finite mean $ \mu $ and satisfies the Cramér condition $ E e^{h \xi_i} \infty $, $ 0 $. Under additional moment constraints on $ Z_1 $, the exact asymptotic of the probabilities $ {\mathbf P} (\ln Z_n \in [x, x + \Delta_n)) $ is found for the values $ x/n $ varying in the range depending on the type of process, and for all sequences $ \Delta_n $ that tend to zero sufficiently slowly as $ n \to \infty $. A similar theorem is proved for a random process in a random environment with immigration.

Détail

Keywords: branching processes in random environment, large deviation probabilities, branching processes with immigration.

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