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Add lean source and binary files (part 95)
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import Mathlib
import OAI.MeasureTheory.FalconerCompletion.Graphs.WeightLeafLabel
import OAI.MeasureTheory.FalconerCompletion.Shells.LeafUnion
namespace OAI
/-! Dyadic shells and prefix decompositions. -/
section
section
open Set MeasureTheory
open scoped ComplexConjugate RealInnerProductSpace
namespace GraphLiteralSupport
namespace CurrentFalconer.TreeND
open Set MeasureTheory
open scoped ENNReal
variable {d : ℕ}
noncomputable def regularizationLeaves (μ : Measure (EuclideanSpace ℝ (Fin d))) (N : ℕ) : Finset (CellPath d) :=
retainedLeaves μ N ((2:ℝ≥0∞)^((d+2)*N))⁻¹
noncomputable def regularizationLabel (μ : Measure (EuclideanSpace ℝ (Fin d))) (N B : ℕ) : CellPath d → List ℕ :=
blockLabel (regularizationLeaves μ N) N B
(weightLeafLabel ((d+2)*N) (fun p => (μ (treeCell p)).toReal)) (N/B+1)
noncomputable def sourceProfile (μ : Measure (EuclideanSpace ℝ (Fin d))) (N B : ℕ) (p : CellPath d) : ℝ → ℝ :=
regularizedProfile (regularizationLeaves μ N) (regularizationLabel μ N B) N B (N/B+1) p
noncomputable def sourceClass (μ : Measure (EuclideanSpace ℝ (Fin d))) (N B : ℕ) (p : CellPath d) :
Measure (EuclideanSpace ℝ (Fin d)) :=
normalizedClass μ (regularizationLeaves μ N) (regularizationLabel μ N B) (regularizationLabel μ N B p)
lemma regularizationLeaves_subset (μ : Measure (EuclideanSpace ℝ (Fin d))) (N : ℕ) :
regularizationLeaves μ N ⊆ dyadicPaths N := Finset.filter_subset _ _
lemma regularization_weight_bounds (μ : Measure (EuclideanSpace ℝ (Fin d))) [IsProbabilityMeasure μ]
(N : ℕ) {p : CellPath d} (hp : p ∈ regularizationLeaves μ N) :
1 ≤ (2:ℝ)^((d+2)*N)*(μ (treeCell p)).toReal ∧ (μ (treeCell p)).toReal ≤ 1 := by
have hm := (Finset.mem_filter.mp hp).2
have ht := ENNReal.toReal_mono (measure_ne_top μ _) hm
simp only [ENNReal.toReal_inv, ENNReal.toReal_pow, ENNReal.toReal_ofNat] at ht
constructor
· simpa only [mul_comm] using (inv_le_iff_one_le_mul₀ (by positivity : 0 < (2:ℝ)^((d+2)*N))).mp ht
· exact (ENNReal.toReal_le_toReal (measure_ne_top μ _) ENNReal.one_ne_top).mpr prob_le_one
lemma normalizedClass_real (μ : Measure (EuclideanSpace ℝ (Fin d)))
(L : Finset (CellPath d)) (F : CellPath d → List ℕ) (T : List ℕ) (S : Set (EuclideanSpace ℝ (Fin d))) :
(normalizedClass μ L F T S).toReal =
((μ.restrict (leafUnion (classLeaves L F T))) S).toReal /
(μ (leafUnion (classLeaves L F T))).toReal := by
simp only [normalizedClass,classMeasure,Measure.smul_apply,smul_eq_mul,
Measure.restrict_apply_univ,ENNReal.toReal_mul,ENNReal.toReal_inv,div_eq_mul_inv,mul_comm]
lemma sourceClass_probability (μ : Measure (EuclideanSpace ℝ (Fin d))) [IsProbabilityMeasure μ]
(N B : ℕ) {p : CellPath d} (hp : p ∈ regularizationLeaves μ N) :
IsProbabilityMeasure (sourceClass μ N B p) := by
classical
apply normalizedClass_probability
have hw := (regularization_weight_bounds μ N hp).1
have hp0 : 0 < (μ (treeCell p)).toReal := by
have := pow_pos (by norm_num : (0:ℝ) < 2) ((d+2)*N)
nlinarith
have hsub : treeCell p ⊆ leafUnion
(classLeaves (regularizationLeaves μ N) (regularizationLabel μ N B) (regularizationLabel μ N B p)) := by
intro x hx
exact mem_iUnion₂.mpr ⟨p, by simp [classLeaves,hp],hx⟩
intro he
have hh := measure_mono (μ := μ) hsub
change μ (treeCell p) ≤ μ (leafUnion _) at hh
have he' : μ (leafUnion (classLeaves (regularizationLeaves μ N)
(regularizationLabel μ N B) (regularizationLabel μ N B p))) = 0 := by
simpa only [classMeasure, Measure.restrict_apply_univ] using he
rw [he'] at hh
have : μ (treeCell p) = 0 := le_antisymm hh bot_le
simp [this] at hp0
lemma sourceClass_grid_comparison (μ : Measure (EuclideanSpace ℝ (Fin d))) [IsProbabilityMeasure μ]
{N B : ℕ} (hN : 0 < N) (hB : 0 < B) {p : CellPath d} (hp : p ∈ regularizationLeaves μ N)
{i : ℕ} (hi : i ≤ N/B+1) {P : CellPath d}
(hP : P ∈ (classLeaves (regularizationLeaves μ N) (regularizationLabel μ N B)
(regularizationLabel μ N B p)).image (List.take (blockDepth N B i))) :
(((2:ℝ)^N)^(-sourceProfile μ N B p (blockDepth N B i)))/(2:ℝ)^(N/B+2) ≤
(sourceClass μ N B p (treeCell P)).toReal ∧
(sourceClass μ N B p (treeCell P)).toReal ≤
(2:ℝ)^(N/B+2)*(((2:ℝ)^N)^(-sourceProfile μ N B p (blockDepth N B i))) := by
classical
let C := classLeaves (regularizationLeaves μ N) (regularizationLabel μ N B) (regularizationLabel μ N B p)
have hC : C ⊆ dyadicPaths N := fun q hq => regularizationLeaves_subset μ N (Finset.mem_filter.mp hq).1
have hlen : P.length = blockDepth N B i := by
obtain ⟨q,hq,rfl⟩ := Finset.mem_image.mp hP
have hqN := (mem_dyadicPaths _ _).mp (hC hq)
simp [List.length_take,hqN]
have hh := weighted_class_profile_grid hN (regularizationLeaves_subset μ N)
(fun q => (μ (treeCell q)).toReal) (fun q hq => regularization_weight_bounds μ N hq) hB hp hi hP
change _ ≤ _ ∧ _ ≤ _ at hh
rw [sourceClass,normalizedClass_real,
restriction_prefix_mass_real μ (Nat.sub_le _ _) hC hlen,
restriction_total_mass_real μ hC]
simpa only [sourceProfile,C,regularizationLabel,blockDepth,Nat.add_assoc, Nat.reduceAdd] using hh
lemma normalizedClass_occupied_prefix (μ : Measure (EuclideanSpace ℝ (Fin d)))
{N n : ℕ} (hn : n ≤ N) {L : Finset (CellPath d)}
(hL : L ⊆ dyadicPaths N) (F : CellPath d → List ℕ) (T : List ℕ)
{P : CellPath d} (hP : P.length = n)
(hp : 0 < (normalizedClass μ L F T (treeCell P)).toReal) :
P ∈ (classLeaves L F T).image (List.take n) := by
classical
have hC : classLeaves L F T ⊆ dyadicPaths N := fun q hq => hL (Finset.mem_filter.mp hq).1
have hne : (prefixFiber (classLeaves L F T) n P).Nonempty := by
by_contra he
have hz : prefixFiber (classLeaves L F T) n P = ∅ := Finset.not_nonempty_iff_eq_empty.mp he
rw [normalizedClass_real,restriction_prefix_mass μ hn hC hP,hz] at hp
simp at hp
obtain ⟨q,hq⟩ := hne
obtain ⟨hq,he⟩ := Finset.mem_filter.mp hq
exact Finset.mem_image.mpr ⟨q,hq,he⟩
end CurrentFalconer.TreeND
end GraphLiteralSupport
end
end
end OAI