Large deviations for Branching Processes in Random Environment
Vincent Bansaye (PMA), Julien Berestycki (PMA)

TL;DR
This paper investigates large deviation probabilities in branching processes within random environments, providing exact rate functions and describing the typical trajectories conditioned on rare events, especially when individuals have minimal offspring.
Contribution
It derives the exact rate function for large deviations in branching processes in random environments and characterizes the conditioned trajectories, extending classical results to more complex stochastic settings.
Findings
Exact rate function for large deviations when individuals have at least one offspring.
Conditional trajectory converges to a deterministic function under large deviation conditioning.
Population remains at size 1 until a critical time before growing at an atypical rate.
Abstract
A branching process in random environment is a generalization of Galton Watson processes where at each generation the reproduction law is picked randomly. In this paper we give several results which belong to the class of {\it large deviations}. By contrast to the Galton-Watson case, here random environments and the branching process can conspire to achieve atypical events such as when is smaller than the typical geometric growth rate and when . One way to obtain such an atypical rate of growth is to have a typical realization of the branching process in an atypical sequence of environments. This gives us a general lower bound for the rate of decrease of their probability. When each individual leaves at least one offspring in the next generation almost surely, we compute the exact rate function of these events…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Probability and Risk Models · Stochastic processes and financial applications
