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Wikipedia / F-space

In functional analysis, an F-space is a vector space over the real or complex numbers together with a metric such that

  1. is continuous

  2. The metric is translation-invariant

  3. is complete.

is called an F-norm, although in general an F-norm is not required to be homogeneous. 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 rather than , 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 topological vector space. 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

The Lp spaces 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

be the space of all complex valued Taylor series are F-spaces under the p-norm

is a quasi-Banach algebra

Sufficient conditions

Related properties

The open mapping theorem into complete metrizable topological vector spaces (for example, Banach or Fréchet spaces) and if one topology is finer or coarser).

See also

References

Notes

Sources

pl:Przestrzeń Frécheta (analiza funkcjonalna)