Skip to main navigation Skip to search Skip to main content

Factorization and Boundedness for Representations of Locally Compact Groups on Topological Vector Spaces

Research output: Contribution to journalArticlepeer-review

Abstract

We (a) prove that continuous morphisms from locally compact groups to locally exponential (possibly infinite-dimensional) Lie groups factor through Lie quotients, recovering a result of Shtern’s on factoring norm-continuous representations on Banach spaces; (b) characterize the maximal almost-periodicity of the identity component G0 ≤ G of a locally compact group in terms of sufficiently discriminating families of continuous functions on G valued in Hausdorff spaces generalizing an analogous result by Kadison-Singer; (c) apply that characterization to recover the von Neumann kernel of G0 as the joint kernel of all appropriately bounded and continuous G-representations on topological vector spaces extending Kallman’s parallel statement for unitary representations, and (d) provide large classes of complete locally convex topological vector spaces (e.g. arbitrary products of Fréchet spaces) with the property that compact-group representations thereon whose vectors all have finite-dimensional orbits decompose as finite sums of isotypic components. This last result specializes to one of Hofmann-Morris on representations on products of real lines.

Original languageEnglish
Pages (from-to)805-828
Number of pages24
JournalJournal of Lie Theory
Volume34
Issue number4
StatePublished - 2024

Keywords

  • Banach space
  • Banach space
  • Lie group
  • absolutely convex
  • barreled
  • bornological
  • bornology
  • bounded set
  • completion
  • jointly continuous
  • locally compact group
  • locally convex
  • maximally almost periodic
  • normable
  • representation
  • separately continuous
  • topological vector space
  • uniform space
  • weakly complete

Fingerprint

Dive into the research topics of 'Factorization and Boundedness for Representations of Locally Compact Groups on Topological Vector Spaces'. Together they form a unique fingerprint.

Cite this