openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Halasz /HalaszCollisionPartition.lean
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import OAI.NumberTheory.TwoPoint.Halasz.HalaszRepeatedCoordinates
import OAI.NumberTheory.TwoPoint.Halasz.HalaszEnergyRestriction
import OAI.NumberTheory.TwoPoint.Halasz.HalaszCollisionAbsorption
namespace OAI
/-! The complete-system moment is controlled by the tuples whose
chosen long coordinates are pairwise distinct. -/
namespace TwoPointCorrelations
open Finset
open scoped Classical
noncomputable def halaszGoodLongTuples {n N ℓ : ℕ} (L : Fin ℓ → Fin n) :
Finset (Fin n → Fin N) := univ.filter (fun x => Function.Injective (x ∘ L))
noncomputable def halaszBadLongCount {n k N ℓ : ℕ} (L : Fin ℓ → Fin (n+2)) : ℕ :=
(univ.filter (fun xy : (Fin (n+2) → Fin N) × (Fin (n+2) → Fin N) =>
¬Function.Injective (xy.1 ∘ L) ∧
halaszVinogradovFrequency k xy.1=halaszVinogradovFrequency k xy.2)).card
theorem halasz_bad_long_count_bound {n k N ℓ : ℕ} (L : Fin ℓ → Fin (n+2))
(hL : Function.Injective L) :
halaszBadLongCount (k := k) (N := N) L ≤ ℓ^2*halaszRepeatedCount n k N := by
let P := (univ : Finset (Fin ℓ × Fin ℓ)).filter (fun ij => ij.1≠ij.2)
let S := fun ij : Fin ℓ × Fin ℓ => halaszPairCollision n k N (L ij.1) (L ij.2)
have hsub : (univ.filter (fun xy : (Fin (n+2) → Fin N) × (Fin (n+2) → Fin N) =>
¬Function.Injective (xy.1 ∘ L) ∧
halaszVinogradovFrequency k xy.1=halaszVinogradovFrequency k xy.2)) ⊆
P.biUnion S := by
intro xy hxy
obtain ⟨hbad,hfreq⟩ := (mem_filter.mp hxy).2
obtain ⟨i,j,hij,hne⟩ := Function.not_injective_iff.mp hbad
apply mem_biUnion.mpr
refine ⟨(i,j),mem_filter.mpr ⟨mem_univ _,hne⟩,?_⟩
exact mem_filter.mpr ⟨mem_univ _,hij,hfreq⟩
have hP : P.card≤ℓ^2 := by
calc
P.card ≤ (univ : Finset (Fin ℓ × Fin ℓ)).card := card_filter_le _ _
_ = ℓ^2 := by simp [pow_two]
calc
halaszBadLongCount (k := k) (N := N) L ≤ (P.biUnion S).card := card_le_card hsub
_ ≤ ∑ ij∈P, (S ij).card := card_biUnion_le
_ ≤ ∑ _ij∈P, halaszRepeatedCount n k N := by
apply sum_le_sum
intro ij hij
exact halasz_pair_collision_bound _ _ (fun h => (mem_filter.mp hij).2 (hL h))
_ = P.card*halaszRepeatedCount n k N := by simp
_ ≤ ℓ^2*halaszRepeatedCount n k N := Nat.mul_le_mul_right _ hP
lemma halasz_frequency_energy (n k N : ℕ) :
halaszFiberEnergy (univ : Finset (Fin n → Fin N)) (halaszVinogradovFrequency k) =
halaszVinogradovCount n k N := by
rw [← halasz_nat_power_energy n k N]
apply halasz_fiber_energy_congr
intro x _ y _
constructor
· intro h
funext j
have hj := congrFun h j
simp only [halaszVinogradovFrequency,← Nat.cast_sum] at hj
exact_mod_cast hj
· intro h
funext j
simp only [halaszVinogradovFrequency,← Nat.cast_sum]
exact_mod_cast congrFun h j
theorem halasz_long_collision_partition {n k N ℓ : ℕ} (L : Fin ℓ → Fin (n+2))
(hL : Function.Injective L) :
halaszVinogradovCount (n+2) k N ≤ 2*(ℓ^2*halaszRepeatedCount n k N) +
halaszFiberEnergy (halaszGoodLongTuples (N := N) L) (halaszVinogradovFrequency k) := by
have h := halasz_energy_restriction (univ : Finset (Fin (n+2) → Fin N))
(halaszGoodLongTuples (N := N) L) (halaszVinogradovFrequency k)
rw [halasz_frequency_energy] at h
apply h.trans
apply Nat.add_le_add_right
apply Nat.mul_le_mul_left 2
convert halasz_bad_long_count_bound (k := k) (N := N) L hL using 1
unfold halaszCrossCount halaszBadLongCount
congr 1
ext xy
simp only [mem_filter,mem_product,mem_sdiff,mem_univ,true_and,
halaszGoodLongTuples,and_true]
end TwoPointCorrelations
end OAI