Electronic Journal of Probability · 2014 · 36 citations · 15 references
EngineeringMathematicsMarkov Decision ProcessesProbability TheoryStochastic ProcessesBranching ProcessesLaw Of Large NumbersLimit TheoremsMarkov ChainsMarkov ProcessesConvergence Rate AnalysisPopulation Size
We consider a supercritical branching process $(Z_n)$ in a random environment $\xi$. Let $W$ be the limit of the normalized population size $W_n=Z_n/\mathbb{E}[Z_n|\xi]$. We first show a necessary and sufficient condition for the quenched $L^p$ ($p > 1$) convergence of $(W_n)$, which completes the known result for the annealed $L^p$ convergence. We then show that the convergence rate is exponential, and we find the maximal value of $\rho > 1$ such that $\rho^n(W-W_n)\rightarrow 0$ in $L^p$, in both quenched and annealed sense. Similar results are also shown for a branching process in a varying environment.
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Criticality for branching processes in random environment
The Annals of Probability · 2005 · 172 citations · Full text