The Erd\"os-Sz\"usz-Tur\'an distribution for equivariant processes
Jayadev S. Athreya, Anish Ghosh

TL;DR
This paper advances the understanding of probabilistic Diophantine approximation by applying homogeneous dynamics to general measure-valued processes, with implications for higher-dimensional approximation and translation surface geometry.
Contribution
It generalizes classical problems to measure-valued processes in b^n and connects them to geometric and dynamical systems applications.
Findings
Resolved longstanding problems in probabilistic Diophantine approximation.
Extended the Erd51s-Szfczs-Ture1n distribution to new settings.
Provided new insights into the distribution of point sets in higher dimensions.
Abstract
We resolve problems posed by Kesten and Erd\"os-Sz\"usz-Tur\'an on probabilistic Diophantine approximation via methods of homogeneous dynamics. Our methods allows us to generalize the problem to the setting of general measure-valued processes in , and obtain applications to the distribution of point sets which occur in higher dimensional Diophantine approximation and the geometry of translation surfaces.
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Taxonomy
TopicsBayesian Methods and Mixture Models
