The Duffin-Schaeffer Conjecture with extra divergence II
Victor Beresnevich, Glyn Harman, Alan Haynes, Sanju Velani

TL;DR
This paper advances the proof of the Duffin-Schaeffer Conjecture by establishing its validity under an additional divergence condition, bringing us closer to resolving the conjecture for measures near Lebesgue.
Contribution
It introduces an 'extra divergence' hypothesis that, when satisfied, guarantees the truth of the Duffin-Schaeffer Conjecture, extending previous partial results.
Findings
Proves the conjecture under the new divergence condition
Shows the conjecture holds for measures close to Lebesgue
Provides a new approach to the conjecture's proof
Abstract
This paper takes a new step in the direction of proving the Duffin-Schaeffer Conjecture for measures arbitrarily close to Lebesgue. The main result is that under a mild `extra divergence' hypothesis, the conjecture is true.
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
TopicsMathematical Inequalities and Applications · Risk and Portfolio Optimization · Statistical Mechanics and Entropy
