# F-space

{{#invoke:Hatnote|hatnote}} In functional analysis, an F-space is a vector space V over the real or complex numbers together with a metric d : V × VR 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

Some authors call these spaces Fréchet spaces, but usually the term is reserved for locally convex F-spaces. 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

Clearly, 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).

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

### Example 1

$L^{\frac {1}{2}}[0,\,1]$ is a F-space. It admits no continuous seminorms and no continuous linear functionals — it has trivial dual space.

### Example 2

$f(z)=\sum _{n\geq 0}a_{n}z^{n}$ $\sum _{n}|a_{n}|^{p}<\infty$ $\|f\|_{p}=\sum _{n}|a_{n}|^{p}\qquad (0 