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Add lean source and binary files (part 125)
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import OAI.Probability.Localization.Cells
namespace OAI
open MeasureTheory ProbabilityTheory Set
open scoped BigOperators ENNReal
namespace RepeatedLocalization
namespace FiniteEntropy
lemma Descendant.refl {n : ℕ} (Q : Cell n) : Descendant Q Q := ⟨le_rfl,Subset.rfl⟩
lemma Descendant.trans {n : ℕ} {Q R S : Cell n} (hQR : Descendant Q R) (hRS : Descendant R S) :
Descendant Q S := ⟨hQR.1.trans hRS.1,hRS.2.trans hQR.2⟩
lemma nested_of_point {n : ℕ} (hn : 0 < n) {Q R : Cell n} (h : Q.1 ≤ R.1)
{z : Coordinate n} (hzQ : z ∈ cellSet Q) (hzR : z ∈ cellSet R) : Descendant Q R := by
have ha := cellSet_subset_ancestor hn R Q.1 h
have h₁ := cellAt_eq_of_mem hn Q hzQ
have h₂ := cellAt_eq_of_mem hn (ancestorCell R Q.1 h) (ha hzR)
have he : ancestorCell R Q.1 h = Q := h₂.symm.trans h₁
exact ⟨h,by simpa only [he] using ha⟩
lemma cell_eq_of_level_point {n : ℕ} (hn : 0 < n) {Q R : Cell n} (h : Q.1 = R.1)
{z : Coordinate n} (hzQ : z ∈ cellSet Q) (hzR : z ∈ cellSet R) : Q = R := by
have h₁ := cellAt_eq_of_mem hn Q hzQ
have h₂ := cellAt_eq_of_mem hn R hzR
rw [h] at h₁
exact h₁.symm.trans h₂
lemma Descendant.eq_of_level {n : ℕ} (hn : 0 < n) {Q R : Cell n}
(h : Descendant Q R) (hlev : Q.1 = R.1) : Q = R :=
cell_eq_of_level_point hn hlev (h.2 (cellCenter_mem hn R)) (cellCenter_mem hn R)
lemma firstHeavy_disjoint {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) (Q : Cell n)
{R S : Cell n} (hR : FirstHeavy P Q R) (hS : FirstHeavy P Q S) (hne : R ≠ S) :
Disjoint (cellSet R) (cellSet S) := by
apply Set.disjoint_left.mpr
intro z hzR hzS
rcases le_total R.1 S.1 with h | h
· exact hne (hS.2 R hR.1 (nested_of_point hn h hzR hzS))
· exact hne (hR.2 S hS.1 (nested_of_point hn h hzS hzR)).symm
lemma exists_firstHeavy_ancestor {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n))
{Q R : Cell n} (hR : Heavy P Q R) :
∃ E : Cell n,FirstHeavy P Q E ∧ Descendant E R := by
classical
have hex : ∃ J : ℕ,∃ E : Cell n,Heavy P Q E ∧ Descendant E R ∧ E.1 = J :=
⟨R.1,R,hR,Descendant.refl R,rfl⟩
obtain ⟨E,hE,hER,hlev⟩ := Nat.find_spec hex
refine ⟨E,⟨hE,?_⟩,hER⟩
intro F hF hFE
have hmin := Nat.find_min' hex (show ∃ E : Cell n,Heavy P Q E ∧ Descendant E R ∧ E.1 = F.1 from
⟨F,hF,hFE.trans hER,rfl⟩)
rw [← hlev] at hmin
exact hFE.eq_of_level hn (le_antisymm hFE.1 hmin)
lemma measurableSet_residual {n : ℕ} (P : Measure (Coordinate n)) (Q : Cell n) :
MeasurableSet (residual P Q) :=
(measurableSet_cellSet Q).diff (MeasurableSet.iUnion (fun R => measurableSet_cellSet R.val))
lemma measurableSet_branch {n : ℕ} (P : Measure (Coordinate n)) (Q : Cell n) (a : Letter n) :
MeasurableSet (branch P Q a) := by
classical
cases a with
| none => exact measurableSet_residual P Q
| some R => by_cases h : FirstHeavy P Q R <;> simp [branch,h,measurableSet_cellSet]
lemma branch_subset {n : ℕ} (P : Measure (Coordinate n)) (Q : Cell n) (a : Letter n) :
branch P Q a ⊆ cellSet Q := by
classical
cases a with
| none => exact Set.sdiff_subset
| some R => by_cases h : FirstHeavy P Q R <;> simp only [branch,h,ite_true,ite_false]
· exact h.1.1.2
· exact Set.empty_subset _
lemma branch_disjoint {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) (Q : Cell n)
{a b : Letter n} (hab : a ≠ b) : Disjoint (branch P Q a) (branch P Q b) := by
classical
cases a with
| none =>
cases b with
| none => exact False.elim (hab rfl)
| some R =>
by_cases h : FirstHeavy P Q R
· simp only [branch,ite_eq_left h]
apply Set.disjoint_left.mpr
intro z hz hzR
exact hz.2 (Set.mem_iUnion.mpr ⟨⟨R,h⟩,hzR⟩)
· simp [branch,h]
| some R =>
cases b with
| none =>
by_cases h : FirstHeavy P Q R
· simp only [branch,ite_eq_left h]
apply Set.disjoint_right.mpr
intro z hz hzR
exact hz.2 (Set.mem_iUnion.mpr ⟨⟨R,h⟩,hzR⟩)
· simp [branch,h]
| some S =>
by_cases hR : FirstHeavy P Q R
· by_cases hS : FirstHeavy P Q S
· simpa only [branch,ite_eq_left hR,ite_eq_left hS] using
firstHeavy_disjoint hn P Q hR hS (fun h => hab (congrArg some h))
· simp [branch,hS]
· simp [branch,hR]
lemma attemptLetter_mem_branch {n : ℕ} (P : Measure (Coordinate n)) (Q : Cell n)
{z : Coordinate n} (hz : z ∈ cellSet Q) : z ∈ branch P Q (attemptLetter P Q z) := by
classical
by_cases h : ∃ R : Cell n,FirstHeavy P Q R ∧ z ∈ cellSet R
· simp only [attemptLetter,dite_eq_left h,branch,ite_eq_left h.choose_spec.1]
exact h.choose_spec.2
· simp only [attemptLetter,dite_eq_right h,branch,residual]
refine ⟨hz,?_⟩
intro hm
obtain ⟨R,hR⟩ := Set.mem_iUnion.mp hm
exact h ⟨R.val,R.property,hR⟩
lemma attemptLetter_eq_iff {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) (Q : Cell n)
{z : Coordinate n} (hz : z ∈ cellSet Q) (a : Letter n) :
attemptLetter P Q z = a ↔ z ∈ branch P Q a := by
constructor
· intro he; rw [← he]; exact attemptLetter_mem_branch P Q hz
· intro hm
by_contra he
exact Set.disjoint_left.mp (branch_disjoint hn P Q he) (attemptLetter_mem_branch P Q hz) hm
lemma heavy_disjoint_residual {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n))
{Q R : Cell n} (hR : Heavy P Q R) : Disjoint (residual P Q) (cellSet R) := by
obtain ⟨E,hE,hER⟩ := exists_firstHeavy_ancestor hn P hR
apply Set.disjoint_left.mpr
intro z hz hzR
exact hz.2 (Set.mem_iUnion.mpr ⟨⟨E,hE⟩,hER.2 hzR⟩)
lemma stopped_regular {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) [IsProbabilityMeasure P]
(Q : Cell n) (hq : (1/2:ℝ) ≤ (P (residual P Q)).toReal) :
Regular (ProbabilityTheory.cond P (residual P Q)) Q := by
have hq0 : P (residual P Q) ≠ 0 := by
intro hzero
rw [hzero, ENNReal.toReal_zero] at hq
norm_num at hq
have hp := ProbabilityTheory.cond_isProbabilityMeasure (μ := P) hq0
let := hp
refine ⟨?_,?_⟩
· apply le_antisymm prob_le_one
have hself := ProbabilityTheory.cond_apply_self (μ := P) hq0 (measure_ne_top _ _)
rw [← hself]
exact measure_mono Set.sdiff_subset
· intro R hQR hlev
by_cases hR : Heavy P Q R
· have hd := heavy_disjoint_residual hn P hR
rw [ProbabilityTheory.cond_apply' (measurableSet_cellSet R),Set.disjoint_iff_inter_eq_empty.mp hd]
simp only [measure_empty,mul_zero,ENNReal.toReal_zero]
exact mul_nonneg (by norm_num) (Real.rpow_pos_of_pos (by norm_num) _).le
· have hm : (P (cellSet R)).toReal ≤ threshold n (R.1-Q.1) := by
exact le_of_not_gt (fun h => hR ⟨hQR,hlev,h⟩)
rw [ProbabilityTheory.cond_apply' (measurableSet_cellSet R),ENNReal.toReal_mul,ENNReal.toReal_inv]
have hinter : (P (residual P Q ∩ cellSet R)).toReal ≤ (P (cellSet R)).toReal :=
ENNReal.toReal_mono (measure_ne_top _ _) (measure_mono Set.inter_subset_right)
have hpos : 0 < (P (residual P Q)).toReal := by linarith
have hinv : ((P (residual P Q)).toReal)⁻¹ ≤ 2 := by
apply (inv_le_comm₀ hpos (by norm_num)).mpr
simpa only [one_div] using hq
exact (mul_le_mul_of_nonneg_left (hinter.trans hm) (inv_nonneg.mpr hpos.le)).trans
(mul_le_mul_of_nonneg_right hinv (Real.rpow_pos_of_pos (by norm_num) _).le)
end FiniteEntropy
end RepeatedLocalization
end OAI