A log-type moment result for perpetuities and its application to martingales in supercritical branching random walks
Gerold Alsmeyer, Alexander Iksanov

TL;DR
This paper establishes a new log-type moment result for perpetuities, which are infinite sums of discounted i.i.d. variables, and applies it to analyze martingales in supercritical branching random walks, relaxing classical integrability conditions.
Contribution
It provides a minimal-condition log-moment result for perpetuities and links it to martingale limits in supercritical branching random walks, extending previous conditions for uniform integrability.
Findings
Derived a log-type moment result under minimal conditions.
Connected perpetuities to martingale limits in branching random walks.
Identified a necessary and sufficient condition for martingale uniform integrability.
Abstract
Infinite sums of i.i.d. random variables discounted by a multiplicative random walk are called perpetuities and have been studied by many authors. The present paper provides a log-type moment result for such random variables under minimal conditions which is then utilized for the study of related moments of a.s. limits of certain martingales associated with the supercritical branching random walk. The connection, first observed by the second author in [Iksanov, A.M. (2004). Elementary fixed points of the BRW smoothing transforms with infinite number of summands. Stoch. Proc. Appl. 114, 27-50.], arises upon consideration of a size-biased version of the branching random walk originally introduced by Lyons in [Lyons, R.(1997). A simple path to Biggins' martingale convergence for branching random walk. In Athreya, K.B., Jagers, P. (eds.). Classical and Modern Branching Processes, IMA…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Bayesian Methods and Mixture Models
