Wikipedia

F-space

In functional analysis, an F-space is a vector space V over the real or complex numbers together with a metric d : V × V → ℝ so that

  1. Scalar multiplication in V is continuous with respect to d and the standard metric on ℝ or ℂ.
  2. Addition in V is continuous with respect to d.
  3. The metric is translation-invariant; i.e., d(x + a, y + a) = d(x, y) for all x, y and a in V
  4. The metric space (V, d) is complete.

The operation x ↦ ||x|| := d(0,x) is called an F-norm, although in general an F-norm is not required to be complete. By translation-invariance, the metric is recoverable from the F-norm. Thus, a real or complex F-space is equivalently a real or complex vector space equipped with a complete F-norm.

Some authors use the term Fréchet space rather than F-space, but usually the term "Fréchet space" is reserved for locally convex F-spaces. Some other authors use the term "F-space" as a synonym of "Fréchet space", by which they mean a locally convex complete metrizable TVSs. The metric may or may not necessarily be part of the structure on an F-space; many authors only require that such a space be metrizable in a manner that satisfies the above properties.

Examples

All Banach spaces and Fréchet spaces are F-spaces. In particular, a Banach space is an F-space with an additional requirement that d(αx, 0) = |α|⋅d(x, 0).[1]

The Lp spaces can be made into F-spaces for all p ≥ 0 and for p ≥ 1 they can be made into locally convex and thus Fréchet spaces and even Banach spaces.

Example 1

is an F-space. It admits no continuous seminorms and no continuous linear functionals — it has trivial dual space.

Example 2

Let be the space of all complex valued Taylor series

on the unit disc such that

then (for 0 < p < 1) are F-spaces under the p-norm:

In fact, is a quasi-Banach algebra. Moreover, for any with the map is a bounded linear (multiplicative functional) on .

Sufficient conditions

Theorem[2][3] (Klee) — Let d be any[note 1] metric on a vector space X such that the topology �� induced by d on X makes (X, ��) into a topological vector space. If (X, d) is a complete metric space then (X, ��) is a complete-TVS.

Related properties

  • A linear almost continuous map into an F-space whose graph is closed is continuous.[4]
  • A linear almost open map into an F-space whose graph is closed is necessarily an open map.[4]
  • A linear continuous almost open map from an F-space is necessarily an open map.[5]
  • A linear continuous almost open map from an F-space whose image is of the second category in the codomain is necessarily a surjective open map.[4]

See also

  • Banach space – Normed vector space that is complete
  • Complete metric space – A set with a notion of distance where every sequence of points that get progressively closer to each other will converge
  • Complete topological vector space – A TVS where points that get progressively closer to each other will always converge to a point
  • Fréchet space – A locally convex topological vector space that is also a complete metric space
  • Hilbert space – Mathematical generalization to infinite dimension of the notion of Euclidean space
  • K-space (functional analysis)
  • Metrizable topological vector space – A topological vector space whose topology can be defined by a metric
  • Barreled space
  • Countably quasi-barrelled space
  • DF-space
  • LB-space
  • LF-space
  • Nuclear space
  • Projective tensor product

References

  1. ^ Not assume to be translation-invariant.
  1. ^ Dunford N., Schwartz J.T. (1958). Linear operators. Part I: general theory. Interscience publishers, inc., New York. p. 59
  2. ^ Schaefer & Wolff 1999, p. 35.
  3. ^ Klee, V. L. (1952). "Invariant metrics in groups (solution of a problem of Banach)" (PDF). Proc. Amer. Math. Soc. 3 (3): 484–487. doi:10.1090/s0002-9939-1952-0047250-4.
  4. ^ a b c Husain 1978, p. 14.
  5. ^ Husain 1978, p. 15.
  • Husain, Taqdir (1978). Barrelledness in topological and ordered vector spaces. Berlin New York: Springer-Verlag. ISBN 3-540-09096-7. OCLC 4493665.
  • Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
  • Rudin, Walter (1966), Real & Complex Analysis, McGraw-Hill, ISBN 0-07-054234-1
  • 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.
This article is copied from an article on Wikipedia® - the free encyclopedia created and edited by its online user community. The text was not checked or edited by anyone on our staff. Although the vast majority of Wikipedia® encyclopedia articles provide accurate and timely information, please do not assume the accuracy of any particular article. This article is distributed under the terms of GNU Free Documentation License.

Copyright © 2003-2025 Farlex, Inc Disclaimer
All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional.