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Separability and Submetrizability in Locally Convex Spaces

Thomas Ruf

TL;DR

This work links separability in locally convex spaces to dual-space metrizability by introducing countable separation. It proves that $X$ is separable exactly when $\sigma(X',X)$ admits a coarser metrizable locally convex topology, with a symmetric dual statement, and situates these results within the Mackey-Arens duality framework. The authors derive practical criteria and corollaries, such as normed-space separability being equivalent to weak$^*$ metrizability of the dual unit ball, and clarify how separability transfers between $X$ and $X'$ under duality constraints. Overall, the paper provides a precise duality between separability and metrizability and extends known conditions through the notion of countable separation and submetrizability of dual topologies.

Abstract

We introduce the property of countable separation for a locally convex Hausdorff space $X$ and relate it to the existence of a metrizable coarser topology. Building on this, we demonstrate how the separability of $X$ is equivalent to the existence of a locally convex topology on the dual $X'$ that is metrizable and coarser than the weak topology $σ(X', X)$. This result generalizes known conditions for separability and provides a precise duality between separability and metrizability. We also show how to derive new and known conditions for the separability of $X$ from this characterization.

Separability and Submetrizability in Locally Convex Spaces

TL;DR

This work links separability in locally convex spaces to dual-space metrizability by introducing countable separation. It proves that is separable exactly when admits a coarser metrizable locally convex topology, with a symmetric dual statement, and situates these results within the Mackey-Arens duality framework. The authors derive practical criteria and corollaries, such as normed-space separability being equivalent to weak metrizability of the dual unit ball, and clarify how separability transfers between and under duality constraints. Overall, the paper provides a precise duality between separability and metrizability and extends known conditions through the notion of countable separation and submetrizability of dual topologies.

Abstract

We introduce the property of countable separation for a locally convex Hausdorff space and relate it to the existence of a metrizable coarser topology. Building on this, we demonstrate how the separability of is equivalent to the existence of a locally convex topology on the dual that is metrizable and coarser than the weak topology . This result generalizes known conditions for separability and provides a precise duality between separability and metrizability. We also show how to derive new and known conditions for the separability of from this characterization.

Paper Structure

This paper contains 3 sections, 8 theorems, 20 equations.

Key Result

Proposition 2.1

Let $X$ be a topological ${\mathbb K}$-vector space, ${\mathbb K} \in \left\{ {\mathbb C}, {\mathbb R} \right\}$. A linear set $L \subset X$ is separable iff there is a sequence $\left\{ x_1, x_2, \ldots \right\} \subset L$ such that the linear hull $\mathop{\mathrm{lin}}\limits \left\{ x_1, x_2, \l

Theorems & Definitions (17)

  • Proposition 2.1
  • proof
  • Definition 3.1
  • Theorem 3.2
  • proof
  • Theorem 3.3
  • proof
  • Theorem 3.4
  • proof
  • Corollary 3.5
  • ...and 7 more