Limit theorems for globally perturbed random walks
Alexander Iksanov, Oleh Kondratenko

TL;DR
This paper investigates the asymptotic behavior of a class of perturbed random walks, establishing laws of large numbers and functional limit theorems under various moment conditions, with applications to passage times and counting processes.
Contribution
It provides new limit theorems for perturbed random walks, including weak and strong laws, and characterizes the conditions for convergence to Brownian motion.
Findings
Weak law of large numbers for passage time $ au(t)$
Functional limit theorems for $( au(ut))$, $(N(ut))$, and $( ho(ut))$
Conditions for convergence to Brownian motion
Abstract
Let , be independent copies of an -valued random vector with arbitrarily dependent components. Put for and define the first passage time into , the number of visits to and the associated last exit time for . The standing assumption of the paper is . We prove a weak law of large numbers for and strong laws of large numbers for , and . The strong law of large numbers for holds if, and only if, . In the complementary situation we prove functional limit theorems in the Skorokhod…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications
