Monotonicity of functionals associated to product measures via their Fourier transform and applications

Fuente: arXiv
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Auteur principal: Malliaris, Andreas
Format: Preprint
Publié: 2025
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author Malliaris, Andreas
author_facet Malliaris, Andreas
contents Let $μ$ be a probability measure on $\mathbb{R}$. We give conditions on the Fourier transform of its density for functionals of the form $H(a)=\int_{\mathbb{R}^n}h(\langle a,x\rangle)μ^n(dx)$ to be Schur monotone. As applications, we put certain known and new results under the same umbrella, given by a condition on the Fourier transform of the density. These results include certain moment comparisons for independent and identically distributed random vectors, when the norm is given by intersection bodies, and the corresponding vector Khinchin inequalities. We also extend the discussion to higher dimensions.
format Preprint
id arxiv_https___arxiv_org_abs_2504_06172
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Monotonicity of functionals associated to product measures via their Fourier transform and applications
Malliaris, Andreas
Probability
Functional Analysis
Let $μ$ be a probability measure on $\mathbb{R}$. We give conditions on the Fourier transform of its density for functionals of the form $H(a)=\int_{\mathbb{R}^n}h(\langle a,x\rangle)μ^n(dx)$ to be Schur monotone. As applications, we put certain known and new results under the same umbrella, given by a condition on the Fourier transform of the density. These results include certain moment comparisons for independent and identically distributed random vectors, when the norm is given by intersection bodies, and the corresponding vector Khinchin inequalities. We also extend the discussion to higher dimensions.
title Monotonicity of functionals associated to product measures via their Fourier transform and applications
topic Probability
Functional Analysis
url https://arxiv.org/abs/2504.06172