Abstract
We discuss a set-valued generalization of strong proximinality in Banach spaces, introduced by J.\,Mach [{\it Continuity properties of Chebyshev centers}, J. Approx. Theory 29/3 (1980) 223--230] as property-. For a Banach space , a closed convex subset of and a subclass of the closed bounded subsets of , this property, defined for the triplet , describes simultaneous strong proximinality of at each of the sets in . We establish that if the closed unit ball of a closed subspace of a Banach space possesses property- for each of the classes of closed bounded, compact and finite subsets of , then so does the subspace. It is also proved that the closed unit ball of an -ideal in an -predual space satisfies property- for the compact subsets of the space. For a Choquet simplex , we provide a sufficient condition for the closed unit ball of a finite co-dimensional closed subspace of to satisfy property- for the compact subsets of . This condition also helps to establish the equivalence of strong proximinality of the closed unit ball of a finite co-dimensional subspace of and property- of the closed unit ball of the subspace for the compact subsets of . Further, for a compact Hausdorff space~, a characterization is provided for a strongly proximinal finite co-dimensional closed subspace of in terms of property- of the subspace and that of its closed unit ball for the compact subsets of . We generalize this characterization for a strongly proximinal finite co-dimensional closed subspace of an -predual space. As a consequence, we prove that such a subspace is a finite intersection of hyperplanes such that the closed unit ball of each of these hyperplanes satisfy property- for the compact subsets of the -predual space and vice versa. We conclude this article by providing an example of a closed subspace of a non-reflexive Banach space which satisfies -ball property and does not admit restricted Chebyshev center for a closed bounded subset of the Banach space.
Suggested citation
T. Thomas. “On Property-(P_(1)) in Banach Spaces.” Journal of Convex Analysis 29 (2022), No. 4, 975–994.
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