The martingale evolution of probability measures defined via the sum-of-digits functions
Dawid Tar{\l}owski

TL;DR
This paper studies the evolution of probability measures derived from binary digit sums, using martingale theory and binary tree structures, to explore properties related to the Cusick conjecture and their asymptotic behavior.
Contribution
It introduces a novel martingale framework for analyzing the evolution of measures linked to binary digit sums and connects this to binary tree structures and the Cusick conjecture.
Findings
The measures $\mu_t$ have specific support and symmetry properties.
The martingale approach provides a clear structural understanding of these measures.
Numerical evidence supports the generalized conjecture about binary tree evolution.
Abstract
Let denote the number of ones in the binary expansion of a natural number . For any and , let denote the asymptotic density of the set of those natural numbers for which . It is well known that are properly defined probability measures on , and the Cusick conjecture states that for any . In this paper, we investigate the properties of the family by reindexing the odd integers via a suitable partial order. This construction leads to the nonautonomous dynamics on pairs of probability measures on , and admits a natural interpretation in terms of evolution of planar binary trees and the corresponding stopping times. The measures correspond to the marginal distributions of the associated…
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.
