Almost sure CLT for hyperbolic Anderson model with Lévy colored noise

Fuente: arXiv
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Bibliographic Details
Main Authors: Balan, Raluca M., Kouamé, Hanniel E., Stephenson, William D.
Format: Preprint
Published: 2026
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author Balan, Raluca M.
Kouamé, Hanniel E.
Stephenson, William D.
author_facet Balan, Raluca M.
Kouamé, Hanniel E.
Stephenson, William D.
contents In this note, we prove the Almost Sure Central Limit Theorem (ASCLT) for the spatial integral of the solution of the hyperbolic Anderson model driven by the Lévy colored noise introduced in Balan (2015). For this, we use the central limit theorem for the normalized spatial integral, and an estimate for the Malliavin derivative of the solution, both derived in the recent preprint Balan and Stephenson (2026). We assume that the spatial correlation kernel of the noise is either integrable, or it is given by the Riesz kernel.
format Preprint
id arxiv_https___arxiv_org_abs_2602_24189
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Almost sure CLT for hyperbolic Anderson model with Lévy colored noise
Balan, Raluca M.
Kouamé, Hanniel E.
Stephenson, William D.
Probability
In this note, we prove the Almost Sure Central Limit Theorem (ASCLT) for the spatial integral of the solution of the hyperbolic Anderson model driven by the Lévy colored noise introduced in Balan (2015). For this, we use the central limit theorem for the normalized spatial integral, and an estimate for the Malliavin derivative of the solution, both derived in the recent preprint Balan and Stephenson (2026). We assume that the spatial correlation kernel of the noise is either integrable, or it is given by the Riesz kernel.
title Almost sure CLT for hyperbolic Anderson model with Lévy colored noise
topic Probability
url https://arxiv.org/abs/2602.24189