import OAI.MeasureTheory.Falconer.Estimates.RegularizationPairBounds import OAI.MeasureTheory.Falconer.Shells.OriginalClassDistance import OAI.MeasureTheory.Falconer.Estimates.ClassPairWeights namespace OAI /-! # Exact original-mass mixture for the two-class distance law -/ namespace Falconer.Regularization open Set MeasureTheory open scoped ENNReal NNReal variable {d : ℕ} noncomputable def classPairWeight (Q₁ Q₂ : DyadicCube d) (μ ν : Measure (Space d)) (N B₁ B₂ : ℕ) (i : List ℕ × List ℕ) : ℝ≥0 := (classMeasure Q₁ μ (regularizationLeaves Q₁ μ N) (regularizationLabel Q₁ μ N B₁) i.1 univ * classMeasure Q₂ ν (regularizationLeaves Q₂ ν N) (regularizationLabel Q₂ ν N B₂) i.2 univ).toNNReal theorem classPairWeight_sum_le_one (Q₁ Q₂ : DyadicCube d) (hQ₁ : 0 < Q₁.side) (hQ₂ : 0 < Q₂.side) (μ ν : Measure (Space d)) [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] (N B₁ B₂ : ℕ) (t₁ t₂ : ℝ≥0∞) : (∑ i ∈ (regularizationIndex Q₁ μ N B₁ t₁).product (regularizationIndex Q₂ ν N B₂ t₂), (classPairWeight Q₁ Q₂ μ ν N B₁ B₂ i : ℝ)) ≤ 1 := retained_class_pair_real_mass_sum_le_one Q₁ Q₂ hQ₁ hQ₂ μ ν (Finset.filter_subset _ _) (Finset.filter_subset _ _) _ _ _ _ (Finset.filter_subset _ _) (Finset.filter_subset _ _) theorem classPairWeight_coe (Q₁ Q₂ : DyadicCube d) (μ ν : Measure (Space d)) [IsFiniteMeasure μ] [IsFiniteMeasure ν] (N B₁ B₂ : ℕ) (i : List ℕ × List ℕ) : (classPairWeight Q₁ Q₂ μ ν N B₁ B₂ i : ℝ≥0∞) = classMeasure Q₁ μ (regularizationLeaves Q₁ μ N) (regularizationLabel Q₁ μ N B₁) i.1 univ * classMeasure Q₂ ν (regularizationLeaves Q₂ ν N) (regularizationLabel Q₂ ν N B₂) i.2 univ := by apply ENNReal.coe_toNNReal apply ENNReal.mul_ne_top · change μ.restrict _ univ ≠ ∞ exact measure_ne_top _ _ · change ν.restrict _ univ ≠ ∞ exact measure_ne_top _ _ noncomputable def regularizationPairDistance (Q₁ Q₂ : DyadicCube d) (μ ν : Measure (Space d)) (N B₁ B₂ : ℕ) (t₁ t₂ : ℝ≥0∞) (σ κ : ℝ) (p₁ p₂ : List ℕ → CellPath d) (c : List ℕ × List ℕ → ℕ) (Γ : Set (Space d × Space d)) : Measure ℝ := partitionEndpointDistance μ ν Γ ((regularizationIndex Q₁ μ N B₁ t₁).product (regularizationIndex Q₂ ν N B₂ t₂)) (fun i => regularizationSet Q₁ μ N B₁ i.1) (fun i => regularizationSet Q₂ ν N B₂ i.2) (fun i => sourceOuterMask Q₁ μ N B₁ σ κ (p₁ i.1) (c i)) (fun i => sourceOuterMask Q₂ ν N B₂ σ κ (p₂ i.2) (c i)) theorem regularizationPairDistance_eq_mixture {k : ℕ} (Q₁ Q₂ : DyadicCube d) (μ ν : Measure (Space d)) [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] (N B₁ B₂ : ℕ) (t₁ t₂ : ℝ≥0∞) (ht₁ : 0 < t₁) (ht₂ : 0 < t₂) (σ κ : ℝ) (p₁ p₂ : List ℕ → CellPath d) (he₁ : ∀ T ∈ regularizationIndex Q₁ μ N B₁ t₁, regularizationLabel Q₁ μ N B₁ (p₁ T) = T) (he₂ : ∀ T ∈ regularizationIndex Q₂ ν N B₂ t₂, regularizationLabel Q₂ ν N B₂ (p₂ T) = T) (c : List ℕ × List ℕ → ℕ) (A D : Fin k → Set (Space d)) (hm : ∀ j, MeasurableSet (A j) ∧ MeasurableSet (D j)) (hd : Pairwise fun j l => Disjoint (A j ×ˢ D j) (A l ×ˢ D l)) : regularizationPairDistance Q₁ Q₂ μ ν N B₁ B₂ t₁ t₂ σ κ p₁ p₂ c (⋃ j, A j ×ˢ D j) = ∑ i ∈ (regularizationIndex Q₁ μ N B₁ t₁).product (regularizationIndex Q₂ ν N B₂ t₂), classPairWeight Q₁ Q₂ μ ν N B₁ B₂ i • ∑ j, endpointWeightedDistance ((sourceClass Q₁ μ N B₁ (p₁ i.1)).restrict (A j)) ((sourceClass Q₂ ν N B₂ (p₂ i.2)).restrict (D j)) 1 1 1 (sourceOuterMask Q₁ μ N B₁ σ κ (p₁ i.1) (c i)) (sourceOuterMask Q₂ ν N B₂ σ κ (p₂ i.2) (c i)) := by unfold regularizationPairDistance rw [partitionEndpointDistance_product_sum μ ν A D hm hd] · apply Finset.sum_congr rfl intro i hi have hi₁ := (Finset.mem_product.mp hi).1 have hi₂ := (Finset.mem_product.mp hi).2 rw [Finset.smul_sum] apply Finset.sum_congr rfl intro j _ simp only [regularizationSet] rw [original_class_endpoint_distance Q₁ Q₂ μ ν _ _ _ _ i.1 i.2 (ht₁.trans_le (Finset.mem_filter.mp hi₁).2).ne' (ht₂.trans_le (Finset.mem_filter.mp hi₂).2).ne' (A j) (D j) (hm j).1 (hm j).2] rw [← sourceClass_eq_normalized Q₁ μ N B₁ (p₁ i.1) i.1 (he₁ i.1 hi₁), ← sourceClass_eq_normalized Q₂ ν N B₂ (p₂ i.2) i.2 (he₂ i.2 hi₂)] rw [← classPairWeight_coe Q₁ Q₂ μ ν N B₁ B₂ i] rfl · exact fun _ _ => regularizationSet_measurable _ _ _ _ _ · exact fun _ _ => regularizationSet_measurable _ _ _ _ _ · exact fun _ _ => regularOuterMask_measurable _ _ _ _ _ _ _ · exact fun _ _ => regularOuterMask_measurable _ _ _ _ _ _ _ · exact fun _ _ _ _ => (regularOuterMask_bounds _ _ _ _ _ _ _ _ _).1 · exact fun _ _ _ _ => (regularOuterMask_bounds _ _ _ _ _ _ _ _ _).1 end Falconer.Regularization end OAI