openAI-math-dataset / lean /OAI /MeasureTheory /Falconer /Shells /ActualHighShellEquation21.lean
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import OAI.MeasureTheory.Falconer.Shells.HighShellEquation21
import OAI.MeasureTheory.Falconer.Shells.HighShellSupremum
namespace OAI
namespace PlanarFalconer
open Set MeasureTheory
namespace PositiveDistanceData
theorem uniform_high_shell_equation21 {sig lam eps T : ℝ}
(hsig : 0 < sig) (heps : 0 < eps) :
∃ n N₀ : ℕ, ∀ d : PositiveDistanceData, ∀ (B : ℕ) (δ : ℝ),
RegularizedProfileData d.Q d.ρ d.N B δ d.lam d.mass →
N₀ ≤ d.N → d.sig = sig → d.lam = lam →
0 < d.Q.side → d.StronglySeparated → 0 < d.q →
d.sig*d.N ≤ (d.q:ℝ) → d.a+100*d.q < d.t → d.t ≤ d.N →
d.X.length = d.a → d.Y.length = d.a →
∀ v : ℝ, (d.t:ℝ)-d.sig*d.N ≤ v → v ≤ d.t →
∀ Ψ : ℝ → ℝ, Measurable Ψ → (∀ x, 0 ≤ Ψ x) →
(∀ x, Ψ x ≠ 0 → x ∈ Ioo (1/4:ℝ) 4) →
∀ W : ℝ, 0 ≤ W → (∀ x, Ψ x ≤ W) →
(∀ x ∈ Icc (1/2:ℝ) 2, 1 ≤ Ψ x) →
(2:ℝ)^(-(d.a:ℝ)) *
(∫ r in Icc ((2:ℝ)^(v-1)) ((2:ℝ)^(v+1)), ‖charFun d.weightedDistance r‖^2) ≤
((2:ℝ)^d.N)^eps*d.inverseShellSupremum n v Ψ+((2:ℝ)^d.N)^(-T) := by
obtain ⟨n,N₀,h₀⟩ := uniform_high_shell_parent_bound (lam := lam) (T := T) hsig heps
refine ⟨n,N₀,?_⟩
intro d B δ hd hN hdSig hdLam hQ hsep hq hqs hw ht hX hY v hv hvt Ψ hΨ hpos hs W hW hΨW hone
let := hd.probability
have hsupport : ∀ x, 4 < x → Ψ x = 0 := by
intro x hx
by_contra hn
exact (not_lt_of_ge hx.le) (hs x hn).2
have hsup := d.inverseShellSupremum_majorizes hQ n v Ψ hW hΨW hsupport
exact h₀ d B δ hd hN hdSig hdLam hQ hsep hq hqs hw ht hX hY v hv hvt
Ψ hΨ hpos hs W hW hΨW hone _ hsup.1 hsup.2
end PositiveDistanceData
end PlanarFalconer
end OAI