Farthest Points of Bounded Closed Sets

Farthest points of bounded closed subsets of a real Hilbert space are considered. If the set at a farthest point satisfies the support condition of strong convexity, then the corresponding max-projection operator is shown to be Lipschitz continuous as a function of a point of the space; if the set is convex, then the max-projection operator is shown to be Lipschitz continuous as a function of the set with respect to the Pliś metric. The relation of the Lipschitz constant with the constant in the support condition of strong convexity is discussed. An algorithm of iterative approximation to a farthest point is given.

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Publication Details

Journal
Mathematical Notes
Published
2025-10-01
DOI
https://doi.org/10.1134/s0001434625605064
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Farthest Points of Bounded Closed Sets

M. V. Balashov
Mathematical Notes
Optimization and Variational Analysis
article

Farthest Points of Bounded Closed Sets

M. V. Balashov
article en

Abstract

Farthest points of bounded closed subsets of a real Hilbert space are considered. If the set at a farthest point satisfies the support condition of strong convexity, then the corresponding max-projection operator is shown to be Lipschitz continuous as a function of a point of the space; if the set is convex, then the max-projection operator is shown to be Lipschitz continuous as a function of the set with respect to the Pliś metric. The relation of the Lipschitz constant with the constant in the support condition of strong convexity is discussed. An algorithm of iterative approximation to a farthest point is given.

Mathematical NotesVol. 118(3-4)
V. A. Trapeznikov Institute of Control Sciences (RU)
Openalex Percentile: Top 28%
Optimization and Variational Analysis
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