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PreprintCC BY 4.0arXiv

The Riesz representation in submetric spaces and its probabilistic aspects

Abstract

A submetric space is a topological space equipped with a continuous metric that generates a metric topology (usually) weaker than the original one (e.g., a~separable Hilbert space with the weak topology). We show that a positive linear functional on the space of bounded continuous functions on a submetric space is given as an integral with respect to a tight measure if, and only if, it is continuous in the strict topology. Neither local compactness nor complete regularity is required. We link the equicontinuity of a family of functionals in the strict topology to the uniform tightness of the underlying measures, and we provide a probabilistic representation (Skorokhod's parametrization) for such families. Finally, we identify the finest topology on the space of probability measures on a submetric space in which uniform tightness implies relative compactness. In non-metric spaces this topology is strictly stronger than the topology of weak convergence of probability measures.

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BibTeX
@misc{jakubowski2026riesz,
  title = {{The Riesz representation in submetric spaces and its probabilistic aspects}},
  author = {Adam Jakubowski},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.35661},
  eprint = {2610.35661},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.35661},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - The Riesz representation in submetric spaces and its probabilistic aspects
AU  - Adam Jakubowski
PY  - 2026
DA  - 2026/10/26
PB  - arXiv
DO  - 10.48550/arxiv.2610.35661
UR  - https://arxiv.org/abs/2610.35661
AB  - A submetric space is a topological space equipped with a continuous metric that generates a metric topology (usually) weaker than the original one (e.g., a~separable Hilbert space with the weak topology). We show that a positive linear functional on the space of bounded continuous functions on a submetric space is given as an integral with respect to a tight measure if, and only if, it is continuous in the strict topology. Neither local compactness nor complete regularity is required. We link the equicontinuity of a family of functionals in the strict topology to the uniform tightness of the underlying measures, and we provide a probabilistic representation (Skorokhod's parametrization) for such families. Finally, we identify the finest topology on the space of probability measures on a submetric space in which uniform tightness implies relative compactness. In non-metric spaces this topology is strictly stronger than the topology of weak convergence of probability measures.
ER  -