Asymptotic local lower deviations of strictly supercritical branching process in a random environment with geometric distributions of descendants

Abstract We consider local probabilities of lower deviations for branching process Z n = X n ,1 + ⋯ + X n , Z n −1 in random environment η . We assume that η is a sequence of independent identically distributed variables and for fixed η the variables X i , j are independent and have geometric distributions. We suppose that steps ξ i of the associated random walk S n = ξ 1 + ⋯ + ξ n has positive mean and satisfies left-side Cramér condition: E exp( h ξ i ) < ∞ if h − < h < 0 for some h − < − 1. Under these assumptions we find the asymptotic of the local probabilities P ( Z n = ⌊exp( θn )⌋), n → ∞, for θ ∈ (max( m − , 0); m (− 1)) and for θ in a neighbourhood of m (− 1), where m − and m (− 1) are some constants.

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Publication Details

Journal
Discrete Mathematics and Applications
Published
2024-08-01
DOI
https://doi.org/10.1515/dma-2024-0016
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.89
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article

Asymptotic local lower deviations of strictly supercritical branching process in a random environment with geometric distributions of descendants

Konstantin Yu. Denisov
1 citations
Discrete Mathematics and Applications
Stochastic processes and statistical mechanics
0.89
article

Asymptotic local lower deviations of strictly supercritical branching process in a random environment with geometric distributions of descendants

Konstantin Yu. Denisov
article en
1 citations

Abstract

Abstract We consider local probabilities of lower deviations for branching process Z n = X n ,1 + ⋯ + X n , Z n −1 in random environment η . We assume that η is a sequence of independent identically distributed variables and for fixed η the variables X i , j are independent and have geometric distributions. We suppose that steps ξ i of the associated random walk S n = ξ 1 + ⋯ + ξ n has positive mean and satisfies left-side Cramér condition: E exp( h ξ i ) < ∞ if h − < h < 0 for some h − < − 1. Under these assumptions we find the asymptotic of the local probabilities P ( Z n = ⌊exp( θn )⌋), n → ∞, for θ ∈ (max( m − , 0); m (− 1)) and for θ in a neighbourhood of m (− 1), where m − and m (− 1) are some constants.

Discrete Mathematics and ApplicationsVol. 34(4)
Russian Academy of Sciences (RU), Steklov Mathematical Institute (RU)
Openalex Percentile: Top 31%
Stochastic processes and statistical mechanics
0.89
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