Quasi-Convex Subsets and the Farthest Direction in Alexandrov Spaces with Lower Curvature Bound

Let $F$ be a closed subset in a finite dimensional Alexandrov space $X$ with lower curvature bound. This paper shows that $F$ is quasi-convex if and only if, for any two distinct points $p,r∈F,$ if there is a direction at $p$ which is more than $\frac{π}{2}$ away from $⇑^r_p$ (the set of all directions from $p$ to $r$), then the farthest direction to $⇑^r_p$ at $p$ is tangent to $F.$ This implies that $F$ is quasi-convex if and only if the gradient curve starting from $r$ of the distance function to $p$ lies in $F.$ As an application, we obtain that the fixed point set of an isometry on $X$ is quasi-convex.

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Publication Details

Journal
Journal of Mathematical Study
Published
2025-03-31
DOI
https://doi.org/10.4208/jms.v58n1.25.02
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Quasi-Convex Subsets and the Farthest Direction in Alexandrov Spaces with Lower Curvature Bound

Xiaole Su, Yusheng Wang, Hongwei Sun null
Journal of Mathematical Study
Optimization and Variational Analysis
article

Quasi-Convex Subsets and the Farthest Direction in Alexandrov Spaces with Lower Curvature Bound

Xiaole Su, Yusheng Wang, Hongwei Sun null
article en

Abstract

Let $F$ be a closed subset in a finite dimensional Alexandrov space $X$ with lower curvature bound. This paper shows that $F$ is quasi-convex if and only if, for any two distinct points $p,r∈F,$ if there is a direction at $p$ which is more than $\frac{π}{2}$ away from $⇑^r_p$ (the set of all directions from $p$ to $r$), then the farthest direction to $⇑^r_p$ at $p$ is tangent to $F.$ This implies that $F$ is quasi-convex if and only if the gradient curve starting from $r$ of the distance function to $p$ lies in $F.$ As an application, we obtain that the fixed point set of an isometry on $X$ is quasi-convex.

Journal of Mathematical StudyVol. 58(1)
Openalex Percentile: Top 100%
Optimization and Variational Analysis
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