On the Littlewood--Offord problem
Yulia S. Eliseeva, Andrei Yu. Zaitsev

TL;DR
This paper explores the Littlewood--Offord problem's connection to concentration functions of symmetric infinitely divisible distributions, providing multivariate generalizations and linking sum concentration to the arithmetic structure of distributions.
Contribution
It introduces multivariate generalizations of Arak's results, connecting sum concentration with the arithmetic structure of distributions' supports.
Findings
Established multivariate extensions of concentration bounds
Linked sum concentration to support arithmetic structure
Extended results to symmetric infinitely divisible distributions
Abstract
The paper deals with studying a connection of the Littlewood--Offord problem with estimating the concentration functions of some symmetric infinitely divisible distributions. Some multivariate generalizations of results of Arak (1980) are given. They show a connection of the concentration function of the sum with the arithmetic structure of supports of distributions of independent random vectors for arbitrary distributions of summands.
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.
