DF-space


In the mathematical field of functional analysis, DF-spaces, also written -spaces are locally convex topological vector space having a property that is shared by locally convex metrizable topological vector spaces. They play a considerable part in the theory of topological tensor products.
DF-spaces were first defined by Alexander Grothendieck and studied in detail by him in.
Grothendieck was led to introduce these spaces by the following property of strong duals of metrizable spaces: If is a metrizable locally convex space and is a sequence of convex 0-neighborhoods in such that absorbs every strongly bounded set, then is a 0-neighborhood in .

Definition

A locally convex topological vector space is a DF-space, also written -space, if
  1. is a countably quasi-barrelled space, and
  2. possesses a fundamental sequence of bounded.

    Properties

Sufficient conditions

The strong dual space of a Fréchet space is a DF-space.

  • The strong dual of a metrizable locally convex space is a DF-space but the convers is in general not true. From this it follows:
  • Every Hausdorff quotient of a DF-space is a DF-space.
  • The completion of a DF-space is a DF-space.
  • The locally convex sum of a sequence of DF-spaces is a DF-space.
  • An inductive limit of a sequence of DF-spaces is a DF-space.
  • Suppose that and are DF-spaces. Then the projective tensor product, as well as its completion, of these spaces is a DF-space.

However,

  • An infinite product of non-trivial DF-spaces is a DF-space.
  • A closed vector subspace of a DF-space is not necessarily a DF-space.
  • There exist complete DF-spaces that are not TVS-isomorphic to the strong dual of a metrizable locally convex TVS.

Examples

There exist complete DF-spaces that are not TVS-isomorphic with the strong dual of a metrizable locally convex space.
There exist DF-spaces having closed vector subspaces that are not DF-spaces.