Subcritical multitype branching process in random environment
Vladimir Vatutin, Vitali Wachtel

TL;DR
This paper investigates the long-term survival probabilities and distribution of particles in a multitype branching process within a random environment, focusing on the strongly subcritical case and providing new asymptotic and limit results.
Contribution
It introduces new asymptotic formulas for survival probabilities and a conditional limit theorem for particle distribution in multitype branching processes in random environments.
Findings
Survival probability decays exponentially in the strongly subcritical case.
Conditional distribution of particles converges to a specific limit.
Provides a detailed asymptotic analysis of the process.
Abstract
We study the asymptotic behaviour of the survival probability of a multitype branching process in random environment. The class of processes we consider here corresponds, in the one-dimensional situation, to the strongly subcritical case. We also prove a conditional limit theorem describing the distribution of the number of particles in the process given its survival for a long time.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · advanced mathematical theories
