|
Download lean/docs/015.md from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/docs/015.md
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/docs/015.md
-
curl -L -o 015.md https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/docs/015.md
1.01 kB
Torus-packet equidistribution in prime, quartic, and sextic degrees
The following describes the scope of the Lean formalization related to the following accompanying paper(s):
Scope
The formalization proves equidistribution of volume-weighted torus packets for totally real number fields of every fixed prime degree at least five. For any sequence of full lattices whose multiplier-order discriminants tend to infinity, the packet measures converge weakly to Haar probability measure and form a tight family, so no mass escapes. Arbitrary local homothety types are allowed, and the fields may vary along the sequence.
Comparator links
| Result | Comparator statement |
|---|---|
| Equidistribution of prime-degree torus packets | DukePrimeDegree.lean |