On a minimisation problem related to the solenoidal uncertainty

We study Hamamoto's expanding square argument towards a 1-D minimisation problem related to the sharp solenoidal uncertainty principle. Working in the right function space, we recast the involved interpolation type inequality into an exact equality, where the vanishing of the remainder term characterises the extremisers via the confluent hypergeometric functions. In the process we also remove some unnecessary constraints on the prescribed parameters.

Publication Details

Journal
ArXiv.org
Published
2025-04-19
Primary Topic
Numerical Methods and Algorithms
Type
article
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article

On a minimisation problem related to the solenoidal uncertainty

ArXiv.org
Numerical Methods and Algorithms
article

On a minimisation problem related to the solenoidal uncertainty

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Abstract

We study Hamamoto's expanding square argument towards a 1-D minimisation problem related to the sharp solenoidal uncertainty principle. Working in the right function space, we recast the involved interpolation type inequality into an exact equality, where the vanishing of the remainder term characterises the extremisers via the confluent hypergeometric functions. In the process we also remove some unnecessary constraints on the prescribed parameters.

ArXiv.org
Reduced inequalities
Openalex Percentile: Top 48%
Numerical Methods and Algorithms
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On a minimisation problem related to the solenoidal uncertainty · ArXiv.org (2025) | TGRS Research Map | TGRS