Completeness in Probabilistic Metric Spaces
Delavar Varasteh Tafti, Mahdi Azhini

TL;DR
This paper explores fundamental properties of complete probabilistic metric spaces, including theorems like Cantor's intersection, Baire's theorem, and the Heine-Borel property, extending classical metric space results to probabilistic settings.
Contribution
It introduces formulations of key theorems in complete probabilistic metric spaces, advancing the understanding of their structure and properties.
Findings
Proved the Cantor Intersection Theorem in PM spaces
Formulated Baire's Theorem for complete PM spaces
Analyzed the Heine-Borel property in probabilistic metric spaces
Abstract
In this paper, we present the Cantor Intersection Theorem and a formulation of Baire Theorem in complete PM spaces. In addition, the Heine-Borel property for PM spaces is considered in detail.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFixed Point Theorems Analysis · Fuzzy and Soft Set Theory
