Random constructions for translates of non-negative functions
Zolt\'an Buczolich, Bruce Hanson, Bal\'azs Maga, G\'asp\'ar, V\'ertesy

TL;DR
This paper investigates the classification of discrete sets of nonnegative real numbers based on the zero-one law for series of translated functions, providing a random construction to characterize these sets and exploring effects of element deletion.
Contribution
It introduces a random construction method to demonstrate that witness functions can be characteristic functions of measurable sets, answering a question about the nature of such functions.
Findings
A random construction shows witness functions can be characteristic functions of measurable sets.
The paper classifies sets into type 1 or type 2 based on the zero-one law behavior.
Results on the impact of randomly deleting elements from the set on its classification.
Abstract
Suppose is a discrete infinite set of nonnegative real numbers. We say that is type if the series does not satisfy a zero-one law. This means that we can find a non-negative measurable "witness function" such that both the convergence set and its complement the divergence set are of positive Lebesgue measure. If is not type we say that is type . The main result of our paper answers a question raised by Z. Buczolich, J-P. Kahane, and D. Mauldin. By a random construction we show that one can always choose a witness function which is the characteristic function of a measurable set. We also consider the effect on the type of a set if we randomly delete…
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.
