Maximum mean discrepancies of Farey sequences
Toni Karvonen, Anatoly Zhigljavsky

TL;DR
This paper explores the connection between the convergence rates of maximum mean discrepancies of Farey sequences and the Riemann hypothesis, identifying a broad class of kernels where this equivalence holds.
Contribution
It introduces a large class of positive-semidefinite kernels, including Matérn kernels of order at least one-half, linking their convergence rates to the Riemann hypothesis.
Findings
Convergence rate of MMD of Farey sequences is equivalent to the Riemann hypothesis for certain kernels.
Includes all Matérn kernels of order ≥ 0.5 in the class where this equivalence holds.
Establishes a new connection between kernel methods and number theory.
Abstract
We identify a large class of positive-semidefinite kernels for which a certain polynomial rate of convergence of maximum mean discrepancies of Farey sequences is equivalent to the Riemann hypothesis. This class includes all Mat\'ern kernels of order at least one-half.
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 Approximation and Integration · Analytic Number Theory Research
