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 language | English |
---|---|
Article number | 109367 |
Journal | Fuzzy Sets and Systems |
Volume | 510 |
DOIs | |
Publication status | Published - 15 Jun 2025 |
Keywords
- Choquet ⊤-convergence space
- ⊤-compactification
- ⊤-convergence structure
- ⊤-ultrafilter