Estimates for tail functions under Riesz transforms in Grand Lebesgue Spaces

Fuente: arXiv
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Main Authors: Formica, Maria Rosaria, Ostrovsky, Eugene, Sirota, Leonid
Format: Preprint
Published: 2026
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author Formica, Maria Rosaria
Ostrovsky, Eugene
Sirota, Leonid
author_facet Formica, Maria Rosaria
Ostrovsky, Eugene
Sirota, Leonid
contents We study the tail behaviour of measurable functions under generalized Riesz-type operators in the framework of Grand Lebesgue Spaces. By exploiting the connection between the growth of $L^p$ norms and the Young--Fenchel transform, we derive explicit tail estimates from suitable $L^p$ bounds. We also present model examples and apply the abstract result to the classical Riesz transforms, showing how the $L^p$ growth of the operator interacts with the intrinsic tail behaviour of the input function.
format Preprint
id arxiv_https___arxiv_org_abs_2603_29564
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Estimates for tail functions under Riesz transforms in Grand Lebesgue Spaces
Formica, Maria Rosaria
Ostrovsky, Eugene
Sirota, Leonid
Functional Analysis
We study the tail behaviour of measurable functions under generalized Riesz-type operators in the framework of Grand Lebesgue Spaces. By exploiting the connection between the growth of $L^p$ norms and the Young--Fenchel transform, we derive explicit tail estimates from suitable $L^p$ bounds. We also present model examples and apply the abstract result to the classical Riesz transforms, showing how the $L^p$ growth of the operator interacts with the intrinsic tail behaviour of the input function.
title Estimates for tail functions under Riesz transforms in Grand Lebesgue Spaces
topic Functional Analysis
url https://arxiv.org/abs/2603.29564