Local asymptotics for the time of first return to the origin of transient random walk
Ron Doney, Dmitry Korshunov

TL;DR
This paper investigates the asymptotic behavior of the probability that a transient, asymptotically stable random walk on multi-dimensional integer lattice first returns to the origin at a given time, considering different norming for each component.
Contribution
It provides new local asymptotic results for the first return time of a multi-dimensional, non-centered, asymptotically stable transient random walk with component-wise norming.
Findings
Derived asymptotic formulas for the first return probability
Extended understanding of transient random walks in multiple dimensions
Applicable to non-centered, component-wise normed stable processes
Abstract
We consider a transient random walk on which is asymptotically stable, without centering, in a sense which allows different norming for each component. The paper is devoted to the asymptotics of the probability of the first return to the origin of such a random walk at time .
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Taxonomy
TopicsStochastic processes and statistical mechanics · Probability and Risk Models · Markov Chains and Monte Carlo Methods
