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Equidistribution of Primitive Sextic Torus Packets

OpenAI · October 5, 2026

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Abstract

We prove that the complete ideal-class packets of maximal orders in totally real sextic fields with no proper intermediate fields become equidistributed, with no escape of mass, in the space of unimodular lattices as their field discriminants tend to infinity. The limit is Haar probability measure. Each packet includes all coordinate-sign translates and is weighted by diagonal-orbit volume.

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Cite

@misc{OAI:Equidistribution-of-Primitive-Sextic-Torus-Packets-October-5-2026,
  author = {{OpenAI}},
  title = {{Equidistribution of Primitive Sextic Torus Packets}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/Equidistribution-of-Primitive-Sextic-Torus-Packets-October-5-2026/primitive-sextic-torus-packets.pdf}{OAI:Equidistribution-of-Primitive-Sextic-Torus-Packets-October-5-2026}},
  year = {2026}
}

Lean formalization

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Family 015: Torus-packet equidistribution in prime, quartic, and sextic degrees

Proves Haar equidistribution without escape of mass for complete volume-weighted torus packets from totally real fields: arbitrary lattices and prescribed local types in fixed prime degree at least five, arbitrary-order Picard packets in primitive quartic fields, and maximal-order ideal-class packets in primitive sextic fields. Here primitive means having no proper intermediate field; the relevant order or field discriminant tends to infinity.

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