import OAI.MeasureTheory.Falconer.Shells.HighShellSeparatedTerms namespace OAI namespace PlanarFalconer open Set MeasureTheory namespace PositiveDistanceData theorem normalizedHighShellF_finite_separation (d : PositiveDistanceData) [IsFiniteMeasure d.ρ] (hQ : 0 < d.Q.side) (hs : d.StronglySeparated) (n : ℕ) (v r : ℝ) : d.normalizedHighShellF n v r = (((r*(2:ℝ)^(-(d.a:ℝ)))^(1/2:ℝ):ℝ):ℂ) * ∑ j ∈ Finset.range (n+1), ((((r/(2:ℝ)^v)⁻¹)^j:ℝ):ℂ) * ((inverseLeibnizTerms j (pairMaskIndices d.inverseDescriptorList)).map (fun b => d.absorbedInverseCoefficient j v b * ∫ ξ, spatialFourierCoeff 96 2004 (by norm_num) (by norm_num) j ξ * sourceParentDistanceF (d.Q.descendant d.X) (d.Q.descendant d.Y) d.ρ d.ρ d.levelMass d.levelMass (spatialPhasedSymbol ((2:ℝ)^(-(d.a:ℝ))) ξ (d.inverseEndpointSymbol b.2 0)) (spatialPhasedSymbol ((2:ℝ)^(-(d.a:ℝ))) ξ (d.inverseEndpointSymbol b.2 1)) r)).sum := by let L := fun j => inverseLeibnizTerms j (pairMaskIndices d.inverseDescriptorList) let R := fun j => ((((r/(2:ℝ)^v)⁻¹)^j:ℝ):ℂ) let A := (((r*(2:ℝ)^(-(d.a:ℝ)))^(1/2:ℝ):ℝ):ℂ) let K := fun j (b : ℂ × (PairMaskIndex → ℕ)) => d.inverseDistanceEndpointKernel j b.2 r let c := fun j b => d.absorbedInverseCoefficient j v b have hi (j : ℕ) (b : ℂ × (PairMaskIndex → ℕ)) (hb : b ∈ L j) : Integrable (fun z => c j b * K j b z) d.cellPair := (d.inverseDistanceEndpointKernel_integrable hQ hs j hb r).const_mul (c j b) have hiJ (j : ℕ) : Integrable (fun z => R j * ((L j).map (fun b => c j b * K j b z)).sum) d.cellPair := (integrable_list_sum d.cellPair (L j) (fun b z => c j b * K j b z) (hi j)).const_mul (R j) have heJ (j : ℕ) : (∫ z, R j * ((L j).map (fun b => c j b * K j b z)).sum ∂d.cellPair) = R j * ((L j).map (fun b => c j b * ∫ z, K j b z ∂d.cellPair)).sum := by rw [integral_const_mul, integral_list_sum d.cellPair (L j) _ (hi j)] simp_rw [integral_const_mul] change (d.levelMass^(-2:ℤ):ℝ) • (∫ z, A * ∑ j ∈ Finset.range (n+1), R j * ((L j).map (fun b => c j b * K j b z)).sum ∂d.cellPair) = _ rw [integral_const_mul,integral_finsetSum (Finset.range (n+1)) (fun j _ => hiJ j)] simp_rw [heJ] calc _ = A * ∑ j ∈ Finset.range (n+1), R j * ((L j).map (fun b => c j b * ((d.levelMass^(-2:ℤ):ℝ) • ∫ z, K j b z ∂d.cellPair))).sum := by simp only [Complex.real_smul, Finset.mul_sum, ← List.sum_map_mul_left] apply Finset.sum_congr rfl intro j hj apply congrArg List.sum apply List.map_congr_left intro b hb ring _ = _ := by congr 1 apply Finset.sum_congr rfl intro j hj congr 1 apply congrArg List.sum apply List.map_congr_left intro b hb rw [show (d.levelMass^(-2:ℤ):ℝ) • (∫ z, K j b z ∂d.cellPair) = _ from d.inverseDistanceEndpointKernel_form hQ hs j hb r] end PositiveDistanceData end PlanarFalconer end OAI