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Sequential Separation Theorems and S-Locally Convex Topological Vector Spaces

Sequential separation theorems and S-locally convex topological vector spaces
Authors: Ray F. Snipes;

Sequential Separation Theorems and S-Locally Convex Topological Vector Spaces

Abstract

The Hahn-Banach theorem, when formulated in a topological vector space, gives rise to a number of 'separation' results. For example: Let (X,t) be a topological vector space (here X is our space, t our topology) over the real or complex field, let A be a non-empty, convex, open subset of X and M an affine subspace of X such that \(A\cap M=\emptyset\). Then there is a closed affine hyperplane H in X such that \(M\subset H\) and \(H\cap A=\emptyset.\) One purpose of the paper under review is to relax the topological conditions on the set and hyperplane mentioned in the theorem above by replacing them with their sequential analogues. When this is done the theorem becomes, as the author proves, the following: Theorem 1. Let (X,t) be a topological vector space over the real or complex field, let A be a non-empty, convex, sequentially open subset of X and M an affine subspace of X such that \(A\cap M=\emptyset\). Then there is a sequentially closed affine hyperplane H in X such that \(M\subset H\) and \(H\cap A=\emptyset.\) Another of the author's results is this: Theorem 4. Let (X,t) be a topological vector space over the real or complex field. Let A, B be two non-empty, disjoint, sequentially open, convex sets in X. Then: (1) There is a sequentially continuous not-identically-zero linear functional f on X such that f(A) and f(B) are non-empty, disjoint, open convex subsets of the field. (2) There is a sequentially closed, real affine hyperplane H in X separating A and B strictly; i.e., there is a sequentially continuous, non-identically-zero real-valued, real-linear functional f on X which separates A and B strictly. In the second section of the paper the author introduces a new class of topological vector spaces. A topological vector space (X,t) is said to be an S-locally convex space if every sequentially open, sequential neighborhood of zero in X contains a convex sequentially open, sequential neighborhood of zero; i.e., the sequential semi-topological linear space \((X,t_ s)\) generated by (X,t) is a locally convex, semi-topological linear space. Variants of this notion are discussed, interesting examples are given, and many properties of S-locally convex spaces are investigated. In the final section of the paper the general results discussed in the first section are specialized to the class of S-locally convex spaces. We shall mention only one result: Theorem 11. Let (X,t) be an S-locally convex topological vector space over the real or complex field. Let \((X,t_ s)\) be the sequential, semi- topological linear space generated by (X,t). Let A, B be two non-empty, disjoint, convex sets in X such that A is \(t_ s\)-closed and B is \(t_ s\)-compact. Then: (1) There is a sequentially continuous, not-identically-zero, linear functional f on X such that f(A) and f(B) are non-empty, convex subsets of the field, f(B) is compact, and \(\overline{f(A)}\cap f(B)=\emptyset.\) (2) There is a sequentially closed, real affine hyperplane H in X separating A and B strictly; i.e., there is a sequentially continuous, not-identically-zero, real-valued, real-linear functional f on X which separates A and B strictly.

Related Organizations
Keywords

hyperplane, Other ``topological'' linear spaces (convergence spaces, ranked spaces, spaces with a metric taking values in an ordered structure more general than \(\mathbb{R}\), etc.), Duality theory for topological vector spaces, Hahn-Banach theorem, sequential separation theorems, S- locally convex space, Theorems of Hahn-Banach type; extension and lifting of functionals and operators

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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