On Strongly Convex Sets and Farthest Distance Functions

Fuente: arXiv
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Main Author: Martínez-Legaz, Juan Enrique
Format: Preprint
Published: 2025
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author Martínez-Legaz, Juan Enrique
author_facet Martínez-Legaz, Juan Enrique
contents A polarity notion for sets in a Banach space is introduced in such a way that the second polar of a set coincides with the smallest strongly convex set with respect to R that contains it. Strongly convex sets are characterized in terms of their associated farthest distance functions, and farthest distance functions associated with strongly convex sets are characterized, too.
format Preprint
id arxiv_https___arxiv_org_abs_2507_15053
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Strongly Convex Sets and Farthest Distance Functions
Martínez-Legaz, Juan Enrique
Functional Analysis
Optimization and Control
52A05, 26B25
A polarity notion for sets in a Banach space is introduced in such a way that the second polar of a set coincides with the smallest strongly convex set with respect to R that contains it. Strongly convex sets are characterized in terms of their associated farthest distance functions, and farthest distance functions associated with strongly convex sets are characterized, too.
title On Strongly Convex Sets and Farthest Distance Functions
topic Functional Analysis
Optimization and Control
52A05, 26B25
url https://arxiv.org/abs/2507.15053