A logarithmic uncertainty principle for functions with radial symmetry

Abstract In this paper, we prove a new uncertainty principle for functions with radial symmetry by differentiating a radial version of the Stein–Weiss inequality. The difficulty is to prove the differentiability in the limit of the best constant that unlike the general case it is not known. We provide also an integral alternative formula for the logarithmic weight $(\log|\xi|)$ in Fourier domain.

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Publication Details

Journal
Proceedings of the Edinburgh Mathematical Society
Published
2025-03-31
DOI
https://doi.org/10.1017/s001309152500015x
Primary Topic
Numerical methods in inverse problems
Type
article
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article

A logarithmic uncertainty principle for functions with radial symmetry

Jacopo Bellazzini, Matteo Nesi
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Proceedings of the Edinburgh Mathematical Society
Numerical methods in inverse problems
article

A logarithmic uncertainty principle for functions with radial symmetry

Jacopo Bellazzini, Matteo Nesi
article en

Abstract

Abstract In this paper, we prove a new uncertainty principle for functions with radial symmetry by differentiating a radial version of the Stein–Weiss inequality. The difficulty is to prove the differentiability in the limit of the best constant that unlike the general case it is not known. We provide also an integral alternative formula for the logarithmic weight $(\log|\xi|)$ in Fourier domain.

Proceedings of the Edinburgh Mathematical SocietyVol. 68(3)
University of Pisa (IT), University of Basel (CH)
Openalex Percentile: Top 89%
Numerical methods in inverse problems
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