import OAI.Probability.CriticalZ3.SeedTrials namespace OAI universe uF open MeasureTheory ProbabilityTheory Classical Filter open scoped ENNReal BigOperators Matrix /-! The exact revealed-history law used by the adaptive queue. In particular, classifications depending only on revealed values do not change fresh bits. -/ namespace InfiniteConditioning open MeasureTheory ProbabilityTheory Classical variable {E : Type} [Countable E] noncomputable def replace (J : Finset E) (ξ ω : E → Bool) : E → Bool := fun e => if e ∈ J then ξ e else ω e noncomputable def fixedParameter (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) : E → Set.Icc (0 : ℝ) 1 := fun e => if e ∈ J then if ξ e = true then 1 else 0 else p e def pattern (J : Finset E) (ξ : E → Bool) : Set (E → Bool) := {ω | ∀ e ∈ J, ω e = ξ e} omit [Countable E] in theorem measurable_replace (J : Finset E) (ξ : E → Bool) : Measurable (replace J ξ) := by apply Measurable.of_eval intro e by_cases he : e ∈ J · simp only [replace, ite_eq_left he]; exact measurable_const · simp only [replace, ite_eq_right he]; exact measurable_pi_apply e theorem measurableSet_pattern (J : Finset E) (ξ : E → Bool) : MeasurableSet (pattern J ξ) := by simp only [pattern, Set.ofPred_forall] exact MeasurableSet.iInter (fun e => MeasurableSet.iInter (fun _ => measurableSet_eq_fun (measurable_pi_apply e) measurable_const)) omit [Countable E] in theorem replace_eq_of_pattern {J : Finset E} {ξ ω : E → Bool} (h : ω ∈ pattern J ξ) : replace J ξ ω = ω := by funext e by_cases he : e ∈ J · exact (ite_eq_left he).trans (h e he).symm · exact ite_eq_right he omit [Countable E] in theorem map_replace (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) : (ProductCylinder.law p).map (replace J ξ) = ProductCylinder.law (fixedParameter p J ξ) := by have h (e : E) : (bernoulliMeasure true false (p e)).map (fun b : Bool => if e ∈ J then ξ e else b) = bernoulliMeasure true false (fixedParameter p J ξ e) := by by_cases he : e ∈ J · simp only [he,ite_true,fixedParameter] cases ξ e <;> simp · simp only [he,ite_false,fixedParameter] exact Measure.map_id change (Measure.infinitePi (fun e => bernoulliMeasure true false (p e))).map (fun ω e => (fun b => if e ∈ J then ξ e else b) (ω e)) = _ rw [Measure.infinitePi_map_pi] · simp only [h,ProductCylinder.law] · intro e; exact measurable_of_countable _ private abbrev bitSigma (e : E) : MeasurableSpace (E → Bool) := MeasurableSpace.comap (fun ω => ω e) inferInstance omit [Countable E] in private theorem measurable_replace_compl (J : Finset E) (ξ : E → Bool) : @Measurable (E → Bool) (E → Bool) (⨆ e ∈ (J : Set E)ᶜ, bitSigma e) inferInstance (replace J ξ) := by apply @Measurable.of_eval (E → Bool) E (fun _ => Bool) (⨆ e ∈ (J : Set E)ᶜ, bitSigma e) _ (replace J ξ) intro e by_cases he : e ∈ J · simp only [replace,ite_eq_left he]; exact measurable_const · simp only [replace,ite_eq_right he] exact Measurable.of_comap_le (le_iSup_of_le e (le_iSup_of_le he le_rfl)) private theorem measurable_pattern_sigma (J : Finset E) (ξ : E → Bool) : MeasurableSet[⨆ e ∈ (J : Set E), bitSigma e] (pattern J ξ) := by simp only [pattern,Set.ofPred_forall] apply MeasurableSet.iInter intro e apply MeasurableSet.iInter intro he apply measurableSet_eq_fun _ measurable_const exact Measurable.of_comap_le (le_iSup_of_le e (le_iSup_of_le he le_rfl)) /-- Literal finite-history factorization, including impossible histories. -/ theorem pattern_inter (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) (A : Set (E → Bool)) (hA : MeasurableSet A) : ProductCylinder.law p (pattern J ξ ∩ A) = ProductCylinder.law p (pattern J ξ) * ProductCylinder.law (fixedParameter p J ξ) A := by have hi : iIndepFun (fun e (ω : E → Bool) => ω e) (ProductCylinder.law p) := iIndepFun_infinitePi (X := fun _ => id) (fun _ => measurable_id) have hmi : iIndep (bitSigma (E := E)) (ProductCylinder.law p) := (iIndepFun_iff_iIndep _ _ _).mp hi have h := indep_iSup_of_disjoint (fun e => (measurable_pi_apply e).comap_le) hmi (disjoint_compl_right (α := Set E) (a := (J : Set E))) have hh := (h.indepSet_of_measurableSet (measurable_pattern_sigma J ξ) ((measurable_replace_compl J ξ) hA)).measure_inter_eq_mul have heq : pattern J ξ ∩ replace J ξ ⁻¹' A = pattern J ξ ∩ A := by ext ω constructor <;> rintro ⟨hp,ha⟩ · exact ⟨hp,by simpa only [Set.mem_preimage,replace_eq_of_pattern hp] using ha⟩ · exact ⟨hp,by simpa only [Set.mem_preimage,replace_eq_of_pattern hp] using ha⟩ rw [heq] at hh rw [←map_replace p J ξ,Measure.map_apply (measurable_replace J ξ) hA] exact hh theorem pattern_inter_real (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) (A : Set (E → Bool)) (hA : MeasurableSet A) : (ProductCylinder.law p).real (pattern J ξ ∩ A) = (ProductCylinder.law p).real (pattern J ξ) * (ProductCylinder.law (fixedParameter p J ξ)).real A := by simp only [Measure.real_def,pattern_inter p J ξ A hA,ENNReal.toReal_mul] omit [Countable E] in theorem pattern_extend_iff (J : Finset E) (a : J → Bool) (ω : E → Bool) : ω ∈ pattern J (ProductCylinder.extend J a) ↔ J.restrict ω = a := by constructor · intro h; funext e simpa only [Finset.restrict,ProductCylinder.extend,dite_eq_left e.2] using h e e.2 · intro h e he have hh := congrFun h ⟨e,he⟩ simpa only [Finset.restrict,ProductCylinder.extend,dite_eq_left he] using hh /-- Partition a finite reveal without conditioning on any unrevealed event. -/ theorem measure_select (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (A : (J → Bool) → Set (E → Bool)) (hA : ∀ a, MeasurableSet (A a)) : (ProductCylinder.law p).real {ω | ω ∈ A (J.restrict ω)} = ∑ a : J → Bool, (ProductCylinder.law p).real (pattern J (ProductCylinder.extend J a)) * (ProductCylinder.law (fixedParameter p J (ProductCylinder.extend J a))).real (A a) := by have heq : {ω | ω ∈ A (J.restrict ω)} = ⋃ a : J → Bool, pattern J (ProductCylinder.extend J a) ∩ A a := by ext ω simp only [Set.mem_ofPred_eq,Set.mem_iUnion,Set.mem_inter_iff,pattern_extend_iff] exact ⟨fun h => ⟨J.restrict ω,rfl,h⟩, fun ⟨a,ha,h⟩ => ha.symm ▸ h⟩ rw [heq,measureReal_iUnion_fintype] · exact Finset.sum_congr rfl (fun a _ => pattern_inter_real p J _ _ (hA a)) · intro a b hab apply Set.disjoint_left.mpr intro ω ha hb exact hab (((pattern_extend_iff J a ω).mp ha.1).symm.trans ((pattern_extend_iff J b ω).mp hb.1)) · intro a; exact (measurableSet_pattern _ _).inter (hA a) theorem sum_pattern_real (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) : ∑ a : J → Bool, (ProductCylinder.law p).real (pattern J (ProductCylinder.extend J a)) = 1 := by simpa only [Set.mem_univ,Set.ofPred_true,probReal_univ,mul_one] using (measure_select p J (fun _ => Set.univ) (fun _ => MeasurableSet.univ)).symm omit [Countable E] in theorem fixedParameter_congr (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) {ξ ξ' : E → Bool} (h : ∀ e ∈ J, ξ e = ξ' e) : fixedParameter p J ξ = fixedParameter p J ξ' := by funext e by_cases he : e ∈ J · simp only [fixedParameter,he,ite_true,h e he] · simp only [fixedParameter,he,ite_false] theorem measurableSet_select (J : Finset E) (A : (J → Bool) → Set (E → Bool)) (hA : ∀ a, MeasurableSet (A a)) : MeasurableSet {ω | ω ∈ A (J.restrict ω)} := by have heq : {ω | ω ∈ A (J.restrict ω)} = ⋃ a : J → Bool, pattern J (ProductCylinder.extend J a) ∩ A a := by ext ω simp only [Set.mem_ofPred_eq,Set.mem_iUnion,Set.mem_inter_iff,pattern_extend_iff] exact ⟨fun h => ⟨J.restrict ω,rfl,h⟩, fun ⟨a,ha,h⟩ => ha.symm ▸ h⟩ rw [heq] exact MeasurableSet.iUnion (fun a => (measurableSet_pattern _ _).inter (hA a)) end InfiniteConditioning namespace InfiniteConditioning open MeasureTheory ProbabilityTheory Classical variable {E I : Type} private theorem measurable_determined_sigma (J : Finset E) (A : Set (E → Bool)) (hA : ProductCylinder.DeterminedBy (F := Prop) J (fun ω => ω ∈ A)) : MeasurableSet[⨆ e ∈ (J : Set E), bitSigma e] A := by let M := ⨆ e ∈ (J : Set E), bitSigma e let mask : (E → Bool) → (E → Bool) := fun ω e => if e ∈ J then ω e else false have hm : @Measurable (E → Bool) (E → Bool) M MeasurableSpace.pi mask := by apply @Measurable.of_eval (E → Bool) E (fun _ => Bool) M _ mask intro e by_cases he : e ∈ J · simp only [mask,ite_eq_left he] exact Measurable.of_comap_le (le_iSup_of_le e (le_iSup_of_le he le_rfl)) · simp only [mask,ite_eq_right he]; exact measurable_const have heq : mask ⁻¹' A = A := by ext ω exact eq_iff_iff.mp (hA ω (mask ω) (fun e he => by simp [mask,he])) rw [←heq] exact hm (ProductCylinder.measurableSet_determined J A (fun ω ω' h => eq_iff_iff.mp (hA ω ω' h))) /-- Arbitrary observables of disjoint finite blocks are independent under the infinite product law, also when other coordinates have been fixed to 0 or 1. -/ theorem indepSet_determined (p : E → Set.Icc (0 : ℝ) 1) (J K : Finset E) (hJK : Disjoint J K) (A B : Set (E → Bool)) (hA : ProductCylinder.DeterminedBy (F := Prop) J (fun ω => ω ∈ A)) (hB : ProductCylinder.DeterminedBy (F := Prop) K (fun ω => ω ∈ B)) : IndepSet A B (ProductCylinder.law p) := by have hi : iIndepFun (fun e (ω : E → Bool) => ω e) (ProductCylinder.law p) := iIndepFun_infinitePi (X := fun _ => id) (fun _ => measurable_id) have hmi : iIndep (bitSigma (E := E)) (ProductCylinder.law p) := (iIndepFun_iff_iIndep _ _ _).mp hi have h := indep_iSup_of_disjoint (fun e => (measurable_pi_apply e).comap_le) hmi (show Disjoint (J : Set E) (K : Set E) from Finset.disjoint_coe.mpr hJK) exact h.indepSet_of_measurableSet (measurable_determined_sigma J A hA) (measurable_determined_sigma K B hB) theorem disjoint_blocks_probability (p : E → Set.Icc (0 : ℝ) 1) (J : I → Finset E) (hJ : Pairwise (fun i j => Disjoint (J i) (J j))) (A : I → Set (E → Bool)) (hA : ∀ i, ProductCylinder.DeterminedBy (F := Prop) (J i) (fun ω => ω ∈ A i)) (s : Finset I) : (ProductCylinder.law p).real {ω | ∀ i ∈ s, ω ∈ A i} = ∏ i ∈ s, (ProductCylinder.law p).real (A i) := by classical induction s using Finset.induction_on with | empty => simp only [Finset.notMem_empty,false_implies,implies_true,Set.ofPred_true, probReal_univ,Finset.prod_empty] | @insert i s hi ih => have hdis : Disjoint (J i) (s.biUnion J) := by rw [Finset.disjoint_left] intro e he he' obtain ⟨j,hj,hej⟩ := Finset.mem_biUnion.mp he' exact Finset.disjoint_left.mp (hJ (ne_of_mem_of_not_mem hj hi).symm) he hej have hdet : ProductCylinder.DeterminedBy (F := Prop) (s.biUnion J) (fun ω => ∀ j ∈ s, ω ∈ A j) := by intro ω ω' h apply propext constructor <;> intro hh j hj · exact (eq_iff_iff.mp (hA j ω ω' (fun e he => h e (Finset.mem_biUnion.mpr ⟨j,hj,he⟩)))).mp (hh j hj) · exact (eq_iff_iff.mp (hA j ω ω' (fun e he => h e (Finset.mem_biUnion.mpr ⟨j,hj,he⟩)))).mpr (hh j hj) have hh := (indepSet_determined p (J i) (s.biUnion J) hdis (A i) {ω | ∀ j ∈ s, ω ∈ A j} (hA i) hdet).measure_inter_eq_mul have heq : {ω | ∀ j ∈ insert i s, ω ∈ A j} = A i ∩ {ω | ∀ j ∈ s, ω ∈ A j} := by ext ω; simp only [Finset.mem_insert,forall_eq_or_imp,Set.mem_ofPred_eq,Set.mem_inter_iff] rw [heq,Measure.real_def,hh,ENNReal.toReal_mul] change (ProductCylinder.law p).real (A i) * (ProductCylinder.law p).real {ω | ∀ j ∈ s, ω ∈ A j} = _ rw [ih,Finset.prod_insert hi] end InfiniteConditioning namespace InfiniteConditioning open MeasureTheory ProbabilityTheory Classical variable {E : Type} noncomputable def bitProbability (p : Set.Icc (0 : ℝ) 1) (b : Bool) : ℝ := if b then p else 1-(p : ℝ) theorem single_probability (p : E → Set.Icc (0 : ℝ) 1) (e : E) (b : Bool) : (ProductCylinder.law p).real {ω | ω e = b} = bitProbability (p e) b := by have h := Measure.infinitePi_map_eval (fun e : E => bernoulliMeasure true false (p e)) e have hm : Measurable (fun ω : E → Bool => ω e) := measurable_pi_apply e have he : {ω : E → Bool | ω e = b} = (fun ω => ω e) ⁻¹' {b} := rfl rw [he,Measure.real_def,←Measure.map_apply hm (measurableSet_singleton _)] change ((Measure.infinitePi (fun e : E => bernoulliMeasure true false (p e))).map (fun ω => ω e) {b}).toReal = _ rw [h] change (bernoulliMeasure true false (p e)).real {b} = _ rw [bernoulliMeasure_real_apply (p e) (measurableSet_singleton _)] cases b <;> simp [bitProbability,unitInterval.coe_symm_eq] theorem finite_pattern_probability (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) : (ProductCylinder.law p).real (pattern J ξ) = ∏ e ∈ J, bitProbability (p e) (ξ e) := by classical have hd : Pairwise (fun e f : E => Disjoint ({e} : Finset E) {f}) := by intro e f h; simpa using h have hdet (e : E) : ProductCylinder.DeterminedBy (F := Prop) {e} (fun ω : E → Bool => ω e = ξ e) := by intro ω ω' h dsimp only rw [h e (Finset.mem_singleton_self e)] have h := disjoint_blocks_probability p (fun e : E => {e}) hd (fun e => {ω | ω e = ξ e}) hdet J simpa only [pattern,Set.mem_ofPred_eq,single_probability] using h def allValue (J : Finset E) (b : Bool) : Set (E → Bool) := {ω | ∀ e ∈ J, ω e = b} theorem allValue_determined (J : Finset E) (b : Bool) : ProductCylinder.DeterminedBy (F := Prop) J (fun ω => ω ∈ allValue J b) := by intro ω ω' h apply propext constructor <;> intro hh e he · rw [←h e he]; exact hh e he · rw [h e he]; exact hh e he theorem measurableSet_allValue (J : Finset E) (b : Bool) : MeasurableSet (allValue J b) := ProductCylinder.measurableSet_determined J _ (fun ω ω' h => eq_iff_iff.mp (allValue_determined J b ω ω' h)) theorem allValue_probability (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (b : Bool) : (ProductCylinder.law p).real (allValue J b) = ∏ e ∈ J, bitProbability (p e) b := finite_pattern_probability p J (fun _ => b) theorem allValue_probability_constant (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (q : Set.Icc (0 : ℝ) 1) (hp : ∀ e ∈ J, p e = q) (b : Bool) : (ProductCylinder.law p).real (allValue J b) = (bitProbability q b)^J.card := by rw [allValue_probability] calc _ = ∏ _e ∈ J, bitProbability q b := Finset.prod_congr rfl (fun e he => by rw [hp e he]) _ = _ := by rw [Finset.prod_const] /-- A reveal has no effect on any observable determined by disjoint bits. -/ theorem fixed_determined_probability (p : E → Set.Icc (0 : ℝ) 1) (J K : Finset E) (hJK : Disjoint J K) (ξ : E → Bool) (A : Set (E → Bool)) (hA : ProductCylinder.DeterminedBy (F := Prop) K (fun ω => ω ∈ A)) : (ProductCylinder.law (fixedParameter p J ξ)).real A = (ProductCylinder.law p).real A := by have hAm := ProductCylinder.measurableSet_determined K A (fun ω ω' h => eq_iff_iff.mp (hA ω ω' h)) rw [←map_replace,Measure.real_def,Measure.map_apply (measurable_replace _ _) hAm] have heq : replace J ξ ⁻¹' A = A := by ext ω apply eq_iff_iff.mp (hA ω (replace J ξ ω) ?_) intro e he apply ite_eq_right exact fun heJ => Finset.disjoint_left.mp hJK heJ he rw [heq] rfl variable [Countable E] theorem ae_fixed_pattern (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) : ∀ᵐ ω ∂ProductCylinder.law (fixedParameter p J ξ), ω ∈ pattern J ξ := by rw [←map_replace] apply (ae_map_iff (measurable_replace J ξ).aemeasurable (measurableSet_pattern J ξ)).mpr exact Filter.Eventually.of_forall (fun ω e he => ite_eq_left he) /-- On a fixed revealed pattern, every J-determined quantity is constant. -/ theorem ae_fixed_determined {F : Sort uF} (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (ξ : E → Bool) (f : (E → Bool) → F) (hf : ∀ ω ω', (∀ e ∈ J, ω' e = ω e) → f ω' = f ω) : ∀ᵐ ω ∂ProductCylinder.law (fixedParameter p J ξ), f ω = f ξ := by filter_upwards [ae_fixed_pattern p J ξ] with ω hω exact hf ξ ω hω end InfiniteConditioning namespace InfiniteConditioning open MeasureTheory ProbabilityTheory Classical variable {E : Type} [Countable E] theorem select_probability_le (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (A : (J → Bool) → Set (E → Bool)) (hA : ∀ a, MeasurableSet (A a)) {b : ℝ} (hb : ∀ a, (ProductCylinder.law (fixedParameter p J (ProductCylinder.extend J a))).real (A a) ≤ b) : (ProductCylinder.law p).real {ω | ω ∈ A (J.restrict ω)} ≤ b := by rw [measure_select p J A hA] calc _ ≤ ∑ a : J → Bool, (ProductCylinder.law p).real (pattern J (ProductCylinder.extend J a)) * b := Finset.sum_le_sum (fun a _ => mul_le_mul_of_nonneg_left (hb a) measureReal_nonneg) _ = b := by rw [←Finset.sum_mul,sum_pattern_real,one_mul] /-- Exact lower bound after a selected reveal; null histories are included. -/ theorem select_probability_lower (p : E → Set.Icc (0 : ℝ) 1) (J : Finset E) (P : (J → Bool) → Prop) (A : (J → Bool) → Set (E → Bool)) (hA : ∀ a, MeasurableSet (A a)) {b : ℝ} (hb : ∀ a, P a → b ≤ (ProductCylinder.law (fixedParameter p J (ProductCylinder.extend J a))).real (A a)) : b * (ProductCylinder.law p).real {ω | P (J.restrict ω)} ≤ (ProductCylinder.law p).real {ω | P (J.restrict ω) ∧ ω ∈ A (J.restrict ω)} := by classical let B : (J → Bool) → Set (E → Bool) := fun a => if P a then Set.univ else ∅ let C : (J → Bool) → Set (E → Bool) := fun a => if P a then A a else ∅ have hPm : {ω | P (J.restrict ω)} = {ω | ω ∈ B (J.restrict ω)} := by ext ω; by_cases h : P (J.restrict ω) <;> simp [B,h] have hAm : {ω | P (J.restrict ω) ∧ ω ∈ A (J.restrict ω)} = {ω | ω ∈ C (J.restrict ω)} := by ext ω; by_cases h : P (J.restrict ω) <;> simp [C,h] have hB (a) : MeasurableSet (B a) := by dsimp [B]; split_ifs <;> measurability have hC (a) : MeasurableSet (C a) := by dsimp [C]; split_ifs; exact hA a; exact MeasurableSet.empty rw [hPm,hAm,measure_select p J B hB,measure_select p J C hC,Finset.mul_sum] apply Finset.sum_le_sum intro a _ by_cases ha : P a · simp only [B,C,ha,ite_true,probReal_univ,mul_one] calc _ = (ProductCylinder.law p).real (pattern J (ProductCylinder.extend J a))*b := mul_comm _ _ _ ≤ _ := mul_le_mul_of_nonneg_left (hb a ha) measureReal_nonneg · simp only [B,C,ha,ite_false,measureReal_empty,mul_zero] exact le_rfl end InfiniteConditioning end OAI