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Preprint in the OpenAI Math release

Equidistribution of Prime-Degree Torus Packets with Arbitrary Local Type

OpenAI

Abstract

We prove the packet form of the higher-dimensional Duke equidistribution problem for totally real fields of any fixed prime degree at least five, allowing arbitrary local homothety types of full lattices. As the multiplier-order discriminant tends to infinity, the volume-weighted packet measures converge to Haar probability measure, with no escape of mass.

open until 1 Jan 2028

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