⊤-ultrafilters and their applications in ⊤-convergence spaces

Yuan Gao, Bin Pang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Ultrafilters serve as an important tool for studying compactness and Choquet convergence structures in classical convergence spaces. In the framework of ⊤-convergence spaces, we provide three characterizations of ⊤-ultrafilters and consider their applications from three aspects. Firstly, we use ⊤-ultrafilters to study the ⊤-compactness of a ⊤-convergence space, including the Tychonoff theorem and the relationships between the compactness of a classical convergence space and its induced ⊤-convergence space. Secondly, we use ⊤-ultrafilters to construct the one-point T2 ⊤-compactification of a ⊤-convergence space and present the necessary and sufficient conditions for one-point T2 ⊤-compactification to be the smallest. Finally, we employ ⊤-ultrafilters to define Choquet ⊤-convergence spaces and investigate their function spaces as well as their relationships with other types of ⊤-convergence spaces.

Original languageEnglish
Article number109367
JournalFuzzy Sets and Systems
Volume510
DOIs
Publication statusPublished - 15 Jun 2025

Keywords

  • Choquet ⊤-convergence space
  • ⊤-compactification
  • ⊤-convergence structure
  • ⊤-ultrafilter

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