Download lean/OAI/NumberTheory/DukePrimeDegree/Conditional.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.91 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/NumberTheory/DukePrimeDegree/Conditional.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/NumberTheory/DukePrimeDegree/Conditional.lean
-
curl -L -o Conditional.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/NumberTheory/DukePrimeDegree/Conditional.lean
2.91 kB
| import OAI.NumberTheory.DukePrimeDegree.Arithmetic.PublishedStark | |
| import OAI.NumberTheory.DukePrimeDegree.MainConditional | |
| namespace OAI | |
| /-! | |
| # Theorem 1.1 conditional on published inputs | |
| This is the manuscript's main result for arbitrary full-lattice local | |
| types, including varying number fields and nonmaximal multiplier orders. | |
| The only explicit inputs are `StarkInput` (Stark 1974, Lemmas 3 and 8 and | |
| equation (9)) and `EKLPrimeInput` (EKL 2006, Theorem 1.3/Corollary 1.4). | |
| The intermediate uniform zeta estimate is derived, not assumed. | |
| -/ | |
| open MeasureTheory Filter | |
| open scoped Topology | |
| namespace DukePrimeDegree | |
| open PrimeDegreePackets | |
| universe u | |
| /-- Conditional form of Theorem 1.1, including tightness of the entire | |
| sequence of complete volume-weighted local-homothety packets. -/ | |
| theorem prime_degree_packet_equidistribution | |
| (d : ℕ) (hprime : Nat.Prime (d + 1)) (hfive : 5 ≤ d + 1) | |
| (stark : StarkInput.{u} (d + 1)) (ekl : EKLPrimeInput d) | |
| (K : ℕ → Type u) [∀ i, Field (K i)] [∀ i, NumberField (K i)] | |
| [∀ i, NumberField.IsTotallyReal (K i)] | |
| (M : ∀ i, PrimeDegreePackets.FullLattice (d + 1) (K i)) | |
| (σ : ∀ i, OrderedEmbeddings (d + 1) (K i)) | |
| (hn : ∀ i, Module.finrank ℚ (K i) = d + 1) | |
| (hD : Tendsto (fun i => PrimeDegreePackets.multiplierDiscriminant (M i)) atTop atTop) : | |
| ∃ ν : ProbabilityMeasure (X (d + 1)), | |
| IsHaarProbability (ν : Measure (X (d + 1))) ∧ | |
| Tendsto (fun i => packetProbability (M i) (σ i) (hn i) | |
| (hprime.odd_of_ne_two (by omega))) atTop (𝓝 ν) ∧ | |
| IsTightMeasureSet (Set.range (fun i => packetMeasure (M i) (σ i))) := by | |
| exact prime_degree_packet_equidistribution_of_scale_and_EKL d hprime hfive | |
| (uniformZetaScaleBound_of_stark hprime (by omega) stark) ekl K M σ hn hD | |
| /-- The same sequence converges to the distinguished invariant | |
| probability, whenever it is presented explicitly. -/ | |
| theorem tendsto_haar_of_published_inputs | |
| (d : ℕ) (hprime : Nat.Prime (d + 1)) (hfive : 5 ≤ d + 1) | |
| (stark : StarkInput.{u} (d + 1)) (ekl : EKLPrimeInput d) | |
| (K : ℕ → Type u) [∀ i, Field (K i)] [∀ i, NumberField (K i)] | |
| [∀ i, NumberField.IsTotallyReal (K i)] | |
| (M : ∀ i, PrimeDegreePackets.FullLattice (d + 1) (K i)) | |
| (σ : ∀ i, OrderedEmbeddings (d + 1) (K i)) | |
| (hn : ∀ i, Module.finrank ℚ (K i) = d + 1) | |
| (hD : Tendsto (fun i => PrimeDegreePackets.multiplierDiscriminant (M i)) atTop atTop) | |
| (m : ProbabilityMeasure (X (d + 1))) (hm : IsHaarProbability (m : Measure (X (d + 1)))) : | |
| Tendsto (fun i => packetProbability (M i) (σ i) (hn i) | |
| (hprime.odd_of_ne_two (by omega))) atTop (𝓝 m) := by | |
| obtain ⟨ν, hν, hconv, _⟩ := | |
| prime_degree_packet_equidistribution d hprime hfive stark ekl K M σ hn hD | |
| have heq : ν = m := Subtype.ext (isHaarProbability_unique hν hm) | |
| rwa [heq] at hconv | |
| end DukePrimeDegree | |
| end OAI | |