Distinguished space
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In functional analysis and related areas of mathematics, distinguished spaces are topological vector spaces (TVSs) having the property that weak-* bounded subsets of their biduals (that is, the strong dual space of their strong dual space) are contained in the weak-* closure of some bounded subset of the bidual.
Definition
[edit]Suppose that is a locally convex space and let and denote the strong dual of (that is, the continuous dual space of endowed with the strong dual topology). Let denote the continuous dual space of and let denote the strong dual of Let denote endowed with the weak-* topology induced by where this topology is denoted by (that is, the topology of pointwise convergence on ). We say that a subset of is -bounded if it is a bounded subset of and we call the closure of in the TVS the -closure of . If is a subset of then the polar of is
A Hausdorff locally convex space is called a distinguished space if it satisfies any of the following equivalent conditions:
- If is a -bounded subset of then there exists a bounded subset of whose -closure contains .[1]
- If is a -bounded subset of then there exists a bounded subset of such that is contained in which is the polar (relative to the duality ) of [1]
- The strong dual of is a barrelled space.[1]
If in addition is a metrizable locally convex topological vector space then this list may be extended to include:
- (Grothendieck) The strong dual of is a bornological space.[1]
Sufficient conditions
[edit]All normed spaces and semi-reflexive spaces are distinguished spaces.[2] LF spaces are distinguished spaces.
The strong dual space of a Fréchet space is distinguished if and only if is quasibarrelled.[3]
Properties
[edit]Every locally convex distinguished space is an H-space.[2]
Examples
[edit]There exist distinguished Banach spaces spaces that are not semi-reflexive.[1] The strong dual of a distinguished Banach space is not necessarily separable; is such a space.[4] The strong dual space of a distinguished Fréchet space is not necessarily metrizable.[1] There exists a distinguished semi-reflexive non-reflexive non-quasibarrelled Mackey space whose strong dual is a non-reflexive Banach space.[1] There exist H-spaces that are not distinguished spaces.[1]
Fréchet Montel spaces are distinguished spaces.
See also
[edit]- Montel space – Barrelled space where closed and bounded subsets are compact
- Semi-reflexive space
References
[edit]- ^ a b c d e f g h Khaleelulla 1982, pp. 32–63.
- ^ a b Khaleelulla 1982, pp. 28–63.
- ^ Gabriyelyan, S.S. "On topological spaces and topological groups with certain local countable networks (2014)
- ^ Khaleelulla 1982, pp. 32–630.
Bibliography
[edit]- Bourbaki, Nicolas (1950). "Sur certains espaces vectoriels topologiques". Annales de l'Institut Fourier (in French). 2: 5–16 (1951). doi:10.5802/aif.16. MR 0042609.
- Robertson, Alex P.; Robertson, Wendy J. (1980). Topological Vector Spaces. Cambridge Tracts in Mathematics. Vol. 53. Cambridge England: Cambridge University Press. ISBN 978-0-521-29882-7. OCLC 589250.
- Husain, Taqdir; Khaleelulla, S. M. (1978). Barrelledness in Topological and Ordered Vector Spaces. Lecture Notes in Mathematics. Vol. 692. Berlin, New York, Heidelberg: Springer-Verlag. ISBN 978-3-540-09096-0. OCLC 4493665.
- Jarchow, Hans (1981). Locally convex spaces. Stuttgart: B.G. Teubner. ISBN 978-3-519-02224-4. OCLC 8210342.
- Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. Vol. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.