Limit theorems for first passage times of multivariate perpetuity sequences
Sebastian Mentemeier, Hui Xiao

TL;DR
This paper investigates the asymptotic behavior of the first passage times for multivariate perpetuity sequences, extending known univariate results to higher dimensions and establishing limit theorems and large deviation principles.
Contribution
It extends the asymptotic analysis of first passage times from univariate to multivariate perpetuity sequences, providing new limit theorems and precise large deviation results.
Findings
Conditioned weak law of large numbers for u/u converges to > 0
Conditioned central limit theorem for u
Precise large deviation asymptotics for u
Abstract
We study the first passage time for the multivariate perpetuity sequence , where is a sequence of independent and identically distributed random variables with a () random matrix with nonnegative entries, and a nonnegative random vector in . Here denotes the vector norm. The exact asymptotic for the probability as has been found by Kesten (Acta Math. 1973). In this paper we prove a conditioned weak law of large numbers for : conditioned on the event , converges in probability to a certain constant as . A conditioned central limit theorem for is also obtained. We further establish precise…
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Probability and Risk Models
