Ranges of Extremal Processes and Heavy-Tailed Random Walks in Spaces of Growing Dimension

Fuente: arXiv
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Autori principali: Jin, Bochen, Molchanov, Ilya
Natura: Preprint
Pubblicazione: 2025
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author Jin, Bochen
Molchanov, Ilya
author_facet Jin, Bochen
Molchanov, Ilya
contents We consider extremal processes and random walks generated by heavy-tailed random vectors taking values in $\mathbb{R}^d$ endowed with the $\ell_p$ metric. We establish limit theorems for the associated paths in the triangular array setting when both the number of steps $n$ and the dimension $d$ grow to infinity. It is shown that it is possible to transform the paths by suitable isometries of $\ell_p$ such that the transformed paths converge in distribution and to identify the limit in terms of a Poisson cluster process. These results also imply the convergence in distribution of the paths viewed as finite metric spaces in the space of metric spaces equipped with the Gromov-Hausdorff metric. Furthermore, we prove convergence in distribution of the transformed paths in the space of counting measures on the line equipped with a Hausdorff metric induced by a suitable $\ell_p$-type distance between counting measures.
format Preprint
id arxiv_https___arxiv_org_abs_2510_18780
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Ranges of Extremal Processes and Heavy-Tailed Random Walks in Spaces of Growing Dimension
Jin, Bochen
Molchanov, Ilya
Probability
60B10, 60F05, 60G55, 60G70
We consider extremal processes and random walks generated by heavy-tailed random vectors taking values in $\mathbb{R}^d$ endowed with the $\ell_p$ metric. We establish limit theorems for the associated paths in the triangular array setting when both the number of steps $n$ and the dimension $d$ grow to infinity. It is shown that it is possible to transform the paths by suitable isometries of $\ell_p$ such that the transformed paths converge in distribution and to identify the limit in terms of a Poisson cluster process. These results also imply the convergence in distribution of the paths viewed as finite metric spaces in the space of metric spaces equipped with the Gromov-Hausdorff metric. Furthermore, we prove convergence in distribution of the transformed paths in the space of counting measures on the line equipped with a Hausdorff metric induced by a suitable $\ell_p$-type distance between counting measures.
title Ranges of Extremal Processes and Heavy-Tailed Random Walks in Spaces of Growing Dimension
topic Probability
60B10, 60F05, 60G55, 60G70
url https://arxiv.org/abs/2510.18780