Definition

Let EE be a and let P\mathcal P be a family of on EE. The topology generated by P\mathcal P has a neighborhood basis at 00 consisting of the sets

U(p1,,pn;ε)={xE:pj(x)<ε for 1jn},U(p_1,\ldots,p_n;\varepsilon) =\{x\in E:p_j(x)<\varepsilon\text{ for }1\leq j\leq n\},

where p1,,pnPp_1,\ldots,p_n\in\mathcal P, n<n<\infty, and ε>0\varepsilon>0. Neighborhoods at xx are translates x+Ux+U. This is the coarsest vector topology making every pPp\in\mathcal P continuous, and it makes EE a . It is Hausdorff exactly when the seminorms separate points.

Convergence

A net xαx_\alpha converges to xx in the generated topology exactly when

p(xαx)0for every pP.p(x_\alpha-x)\longrightarrow0 \qquad\text{for every }p\in\mathcal P.

Sequences suffice only when the topology is first countable, so nets cannot generally be replaced by sequences for an uncountable seminorm family.

Hausdorffness and metrizability

The topology is Hausdorff precisely when

pPkerp={0}.\bigcap_{p\in\mathcal P}\ker p=\{0\}.

If a countable family (pn)(p_n) generates the topology, then it is metrizable by, for example,

d(x,y)=n=12npn(xy)1+pn(xy).d(x,y)=\sum_{n=1}^{\infty}2^{-n} \frac{p_n(x-y)}{1+p_n(x-y)}.

Metrizability does not imply completeness; that is a separate condition on Cauchy nets or sequences.

Comparison and examples

If PQ\mathcal P\subseteq\mathcal Q, then the topology generated by Q\mathcal Q is finer than the one generated by P\mathcal P. A single norm generates the usual norm topology. Evaluation seminorms generate pointwise-convergence topologies, while suprema of derivatives on generate the standard topologies on spaces of smooth functions.

References
  1. Walter Rudin, Functional Analysis, 2nd ed., McGraw–Hill, 1991. WorldCat record. Relevant: §1.37.
  2. François Trèves, Topological Vector Spaces, Distributions and Kernels, Academic Press, 1967. Elsevier book record. Relevant: Chapter 7.