⊤-ultrafilters and their applications in ⊤-convergence spaces

Yuan Gao, Bin Pang*

*此作品的通讯作者

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摘要

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.

源语言英语
文章编号109367
期刊Fuzzy Sets and Systems
510
DOI
出版状态已出版 - 15 6月 2025

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Gao, Y., & Pang, B. (2025). ⊤-ultrafilters and their applications in ⊤-convergence spaces. Fuzzy Sets and Systems, 510, 文章 109367. https://doi.org/10.1016/j.fss.2025.109367