LB-space

In mathematics, an LB-space is a topological vector space V that is a locally convex inductive limit of a countable inductive system of Banach spaces. This means that V is a direct limit of the system in the category of locally convex topological vector spaces and each is a Banach space.

Some authors restrict the term LB-space to mean that V is a strict locally convex inductive limit of Banach spaces, which means that implies , each mapping is the natural inclusion, and strict means that each has 's subspace topology (where ).[1] To distinguish this type of space from the more general definition, we will call this a strict LB-space.

The topology on V can be described by specifying that an absolutely convex subset U is a neighborhood of 0 if and only if is an absolutely convex neighborhood of 0 in for every n.

Properties

A strict LB-space is complete,[2] barrelled,[2], and bornological[2] (and thus ultrabornological).

Examples

  • If D is a locally compact topological space that is countable at infinity (i.e. equal to a countable union of compact subspaces) then the space of all continuous, complex-valued functions on D with compact support is a strict LB-space.[3] For any compact subset , let denote the Banach space of complex-valued functions that are supported by K with the uniform norm and order the family of compact subsets of D by inclusion.[3]


Counter-examples

gollark: I see. I don't think I am ever in situations where I could have a smartwatch but not a phone.
gollark: It doesn't take very long to retrieve a phone from a pocket. You could even bind different types of message to different sounds or vibration patterns on it if it mattered much.
gollark: Plus biometrics, but those don't seem useful either.
gollark: You basically just get to read notifications slightly faster and recharge it constantly, at great expense.
gollark: I know some people with "Apple Watches" and stuff, but they don't actually seem very useful.

See also

References

  1. Schaefer 1999, p. 58.
  2. Schaefer 1999, pp. 60-63.
  3. Schaefer 1999, pp. 57-58.
  4. Khaleelulla 1982, pp. 28-63.
  • Khaleelulla, S. M. (July 1, 1982). Written at Berlin Heidelberg. Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. 936. Berlin New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.CS1 maint: ref=harv (link) CS1 maint: date and year (link)
  • 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. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.CS1 maint: ref=harv (link)
  • Trèves, François (August 6, 2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.CS1 maint: ref=harv (link) CS1 maint: date and year (link)
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