Strong and Weak Convexity of Closed Sets in a Hilbert Space
Vladimir V. Goncharov () and
Grigorii E. Ivanov ()
Additional contact information
Vladimir V. Goncharov: CIMA, Universidade de Évora
Grigorii E. Ivanov: Moscow Institute of Physics and Technology
A chapter in Operations Research, Engineering, and Cyber Security, 2017, pp 259-297 from Springer
Abstract:
Abstract We give a brief survey of the geometrical and topological properties of two classes of closed sets in a Hilbert space, which strengthen and weaken the convexity concept, respectively. We prove equivalence of various characterizations of these sets, which are partially new while partially known in the literature but accompanied with different proofs. Along with the uniform notions dating back to Efimov, Stechkin, Vial, Clarke, Stern, Wolenski, and others we pay attention to some local and pointwise constructions, which can be interpreted through positive and negative scalar curvatures. In the final part of the paper we give several applications to geometry of Hilbert spaces, to set-valued analysis, and to time optimal control problem.
Keywords: Strong convexity; Weak convexity; Proximal smoothness; Prox-regularity; Proximal normal cone; Variational inequality; Minkowski operations; Continuous selections; Hausdorff continuity; 46C05; 49J52; 49J53; 52A01 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-51500-7_12
Ordering information: This item can be ordered from
http://www.springer.com/9783319515007
DOI: 10.1007/978-3-319-51500-7_12
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().