Manuscript OpenAI@2026-10-07 · OpenAI.tex · remark · 6a931f8f

Remark: 015-03. Equidistribution of Primitive Sextic Torus Packets

Manuscript map · lines 2795–2804

OpenAI@2026-10-07#rem:oai-p-015-03

Back to manuscript

Authors: OpenAI. Family 015.

Title: Equidistribution of Primitive Sextic Torus Packets.

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.

This abstract is a catalogue record. It is not a verification and not a premise. It does not close O.1. O.1 stays NOT_CLOSED. No quantum coefficient is admitted. No compilation is asserted.

Nearby in this section