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Hauptverfasser: Damek, Ewa, Mentemeier, Sebastian
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2510.23130
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author Damek, Ewa
Mentemeier, Sebastian
author_facet Damek, Ewa
Mentemeier, Sebastian
contents We consider random vectors $X$ that satisfy the equation in law $X=AX+B$, where $A$ is a given random diagonal matrix and $B$ a given random vector, both independent of $X$. It is well known by the works of Kesten and Goldie that the marginals of $X$ may exhibit heavy tails, with possibly different tail indices. In recent works (Damek 2025, Mentemeier and Wintenberger 2022) it was observed that asymptotic independence may occur despite strong dependencies in the entries of $A$: The probability that both marginals are simultaneously large decays faster than the marginal probability of an extreme event; the tail measure is concentrated on the axis. In this work, we analyse the hidden regular variation properties of $X$, that is, we find the proper scaling for which one observes simultaneous extremes.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23130
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Hidden regular variation for stochastic recursions with diagonal matrices
Damek, Ewa
Mentemeier, Sebastian
Probability
60J05, 60G70, 28A33, 60K05
We consider random vectors $X$ that satisfy the equation in law $X=AX+B$, where $A$ is a given random diagonal matrix and $B$ a given random vector, both independent of $X$. It is well known by the works of Kesten and Goldie that the marginals of $X$ may exhibit heavy tails, with possibly different tail indices. In recent works (Damek 2025, Mentemeier and Wintenberger 2022) it was observed that asymptotic independence may occur despite strong dependencies in the entries of $A$: The probability that both marginals are simultaneously large decays faster than the marginal probability of an extreme event; the tail measure is concentrated on the axis. In this work, we analyse the hidden regular variation properties of $X$, that is, we find the proper scaling for which one observes simultaneous extremes.
title Hidden regular variation for stochastic recursions with diagonal matrices
topic Probability
60J05, 60G70, 28A33, 60K05
url https://arxiv.org/abs/2510.23130