A memo on bornologies and size functions
Paul Poncet

TL;DR
This paper explores the concept of abstract bornologies and their relation to topological spaces and size functions, proposing a way to connect size functions with maxitive measures as a generalization of non-compactness measures.
Contribution
It introduces a framework linking bornologies, topological spaces, and size functions, and shows how size functions can be represented as maxitive measures.
Findings
Established a connection between size functions and maxitive measures.
Provided a generalized approach to measures of non-compactness.
Clarified the role of bornologies in topological analysis.
Abstract
We recall the notion of abstract bornology, and connect it with topological spaces and size functions. As a generalization of measures of non-compactness, we show how every size function can be mapped to a maxitive measure.
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
TopicsAdvanced Topology and Set Theory · Computability, Logic, AI Algorithms · Mathematical Dynamics and Fractals
