Characterization of distributions having a value at a point in the sense of Robinson
Hans Vernaeve, Jasson Vindas

TL;DR
This paper characterizes Schwartz distributions with a point value in Robinson's nonstandard analysis sense, showing they are continuous near that point, thus linking point values to local continuity properties.
Contribution
It provides a novel characterization of distributions with point values using nonstandard analysis, connecting pointwise values to local continuity.
Findings
Distributions with a point value are continuous near that point.
The characterization uses Robinson's nonstandard analysis framework.
This links pointwise values to local regularity of distributions.
Abstract
We characterize Schwartz distributions having a value at a single point in the sense introduced by means of nonstandard analysis by A. Robinson. They appear to be distributions continuous in a neighborhood of the point.
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.
