openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Walks /CanonicalTupleSmooth.lean
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import OAI.NumberTheory.TwoPoint.Walks.TupleSmoothCost
import OAI.NumberTheory.TwoPoint.Walks.CanonicalTupleSlices
import OAI.NumberTheory.TwoPoint.Walks.RetainedRowScale
namespace OAI
/-! Uniformly bounded smooth-dilation cost for every retained subtuple of
the actual canonical prime bands. -/
namespace TwoPointCorrelations
open Finset Filter
open scoped Classical
lemma retained_tuple_factor_subset {J : ℕ} (P : Fin J → Finset ℕ)
(hp : ∀ i, ∀ p ∈ P i, p.Prime) (I : Finset (Fin J))
(y : (i : {i // i ∉ I}) → P i) :
(∏ i, (y i).val).primeFactors ⊆ univ.image (fun i => (y i).val) := by
intro p hp'
have hpprime := Nat.prime_of_mem_primeFactors hp'
have hdiv := Nat.dvd_of_mem_primeFactors hp'
obtain ⟨i, _, hi⟩ := (hpprime.prime.dvd_finsetProd_iff (fun i => (y i).val)).mp hdiv
have he : p = (y i).val := (Nat.prime_dvd_prime_iff_eq hpprime
(hp i _ (y i).property)).mp hi
exact mem_image.mpr ⟨i, mem_univ _, he.symm⟩
lemma retained_tuple_factor_card {J : ℕ} (P : Fin J → Finset ℕ)
(hp : ∀ i, ∀ p ∈ P i, p.Prime) (I : Finset (Fin J))
(y : (i : {i // i ∉ I}) → P i) : (∏ i, (y i).val).primeFactors.card ≤ J := by
calc
_ ≤ (univ.image (fun i => (y i).val)).card := card_le_card (retained_tuple_factor_subset P hp I y)
_ ≤ (univ : Finset {i : Fin J // i ∉ I}).card := card_image_le
_ ≤ J := by simpa only [card_univ, Fintype.card_fin] using Fintype.card_subtype_le (fun i : Fin J => i ∉ I)
theorem eventually_canonical_retained_smooth_cost (E : Finset ℕ) (W : ℝ) (hW : 1 ≤ W) :
∀ᶠ L : ℝ in atTop,
let J := primeSupplyCount W L
let P := centeredPrimeBands E (L ^ (199 / 200 : ℝ)) W J
∀ I : Finset (Fin J), ∀ y : (i : {i // i ∉ I}) → P i,
smoothReciprocalProduct (∏ i, (y i).val).primeFactors (1 / 2 : ℝ) ≤ 2 := by
filter_upwards [eventually_canonical_smooth_half_cost, eventually_ge_atTop (1 : ℝ)] with L hcost hL
dsimp only
let J := primeSupplyCount W L
let A := L ^ (199 / 200 : ℝ)
let P := centeredPrimeBands E A W J
have hLp : 0 < L := zero_lt_one.trans_le hL
have hp : ∀ i, ∀ p ∈ P i, p.Prime := centeredPrimeBands_prime E A W J
intro I y
apply hcost
· exact (show ((∏ i, (y i).val).primeFactors.card : ℝ) ≤ J by
exact_mod_cast retained_tuple_factor_card P hp I y).trans
((primeSupplyCount_le_log W L hW hL).trans
((Real.log_le_sub_one_of_pos hLp).trans (by linarith)))
· intro p hpmem
obtain ⟨i, _, hi⟩ := mem_image.mp (retained_tuple_factor_subset P hp I y hpmem)
subst p
exact (centeredPrimeSupply_global_bounds (Real.rpow_nonneg hLp.le _) (zero_le_one.trans hW) i.val.isLt
(primeSupplyScale_endpoint W L (by linarith) hL) (y i).property).1.le
end TwoPointCorrelations
end OAI