Convergence of martingale and moderate deviations for a branching random walk with a random environment in time

preprint2015arXivOpen access

Abstract

We consider a branching random walk on R\mathbb{R} with a stationary and ergodic environment ξ=(ξn)ξ=(ξ_n) indexed by time n∈Nn\in\mathbb{N}. Let ZnZ_n be the counting measure of particles of generation nn and Z~n(t)=∫etxZn(dx)\tilde Z_n(t)=\int e^{tx}Z_n(dx) be its Laplace transform. We show the LpL^p convergence rate and the uniform convergence of the martingale Z~n(t)/E[Z~n(t)∣ξ]\tilde Z_n(t)/\mathbb E[\tilde Z_n(t)|ξ], and establish a moderate deviation principle for the measures ZnZ_n.

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