import OAI.Probability.CriticalZ3.Exploration namespace OAI open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory Classical Filter Topology Function open scoped ENNReal BigOperators Matrix namespace CriticalZ3 open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory Classical InfiniteConditioning namespace Coarse.Exploration variable {m : Model} {r : ℕ} theorem after_determined (s : Exploration m r) : ProductCylinder.DeterminedBy s.reveal (s.after) := by intro ω ω' he unfold after History.observe congr 1 funext e by_cases hr : e ∈ s.reveal · simp only [replace,ite_eq_left hr,he e hr] · simp only [replace,ite_eq_right hr] theorem markedBad_determined (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) : ProductCylinder.DeterminedBy s.reveal (s.markedBad q δ) := by intro ω ω' he have h := s.after_determined ω ω' he have ha (t : Packet r) : s.Accept q δ t ω' ↔ s.Accept q δ t ω := by simp only [Accept,h] cases hq : s.queue <;> simp only [markedBad,hq,ha] theorem advance_determined (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) : ProductCylinder.DeterminedBy s.reveal (s.advance q δ) := by intro ω ω' he have h := s.after_determined ω ω' he have ha (t : Packet r) : s.Accept q δ t ω' ↔ s.Accept q δ t ω := by simp only [Accept,h] cases hq : s.queue <;> simp only [advance,hq,h,ha] theorem badMass_eq (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) : (scheme (r := r) q δ).badMass s = (ProductCylinder.law (s.history.parameter q)).real {ω | s.markedBad q δ ω = true} := by rw [AdaptiveReveals.Scheme.badMass_eq_probability] congr 2 ext ω change (s.markedBad q δ (ProductCylinder.extend s.reveal (s.reveal.restrict ω)) = true) ↔ _ rw [←ProductCylinder.determinedBy_eq_extend (s.markedBad_determined q δ) ω] noncomputable def frozenEvent (s : Exploration m r) (t : Packet r) : Set m.Config := {ω | s.history.freeze ω ∈ t.event m} theorem frozenEvent_determined {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) {t : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) : ProductCylinder.DeterminedBy (F := Prop) s.reveal (fun ω => ω ∈ s.frozenEvent t) := s.history.freeze_determined _ (t.event_determined m) (by simpa only [Finset.subset_iff,Finset.mem_union] using current_support hs hq) theorem frozenEvent_probability (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (t : Packet r) : (ProductCylinder.law (s.history.parameter q)).real (s.frozenEvent t) = (ProductCylinder.law (s.history.parameter q)).real (t.event m) := s.history.probability_freeze q (t.event m) theorem accept_current_iff {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) {t : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) (ω : m.Config) : (s.after ω).values ∈ t.event m ↔ ω ∈ s.frozenEvent t := by exact Eq.to_iff (s.history.observe_outcome _ (t.event_determined m) (by simpa only [Finset.subset_iff,Finset.mem_union] using current_support hs hq) s.reveal_disjoint ω) theorem relay_failure (sc : ScaleData m) {s : Exploration m sc.r} (hs : s.Valid sc.q sc.δ) {t : Packet sc.r} {ts : List (Packet sc.r)} (hq : s.queue = t::ts) (d : Direction) (hx : t.vertex+outward d ∉ s.visited) : (ProductCylinder.law (s.history.parameter sc.q)).real (s.frozenEvent t ∩ ((t.child (t.vertex+outward d)).event m)ᶜ) ≤ 13*sc.η := by have htq : t ∈ s.queue := by simp [hq] have hv := hs.unprocessed t htq have hxD : t.vertex+outward d ∉ s.processed := fun hh => hx (s.processed_visited hh) have hv0 : t.vertex ≠ 0 := fun he => hv (he ▸ hs.root_processed) have hx0 : t.vertex+outward d ≠ 0 := fun he => hxD (he ▸ hs.root_processed) have hfresh : m.UniformOn (s.history.parameter sc.q) sc.q (PairRegion sc.r t.vertex (t.vertex+outward d)) := by intro e he apply ite_eq_right intro hk exact internal_pair_not_exposed m sc.r hs.root_processed hv hxD he (hs.exposed hk) have hrelay := neighboring_relay sc (t.child (t.vertex+outward d)).graph (s.history.parameter sc.q) t.vertex d (extendGraph_pair sc.r t.graph t.vertex _ t.contains) hfresh ⟨0,(t.child (t.vertex+outward d)).root_mem⟩ (zero_outside_pair sc.r hv0 hx0) have hi : t.event m ∩ ((t.child (t.vertex+outward d)).event m)ᶜ ⊆ {ω | (t.child (t.vertex+outward d)).graph.Meets m ω ⟨0,(t.child (t.vertex+outward d)).root_mem⟩ {y | (B sc.r t.vertex).Contains y} ∧ ¬(t.child (t.vertex+outward d)).graph.Meets m ω ⟨0,(t.child (t.vertex+outward d)).root_mem⟩ {y | (B sc.r (t.vertex+outward d)).Contains y}} := by intro ω hω exact ⟨LatticeGraph.meets_inclusion (extendGraph_subgraph sc.r t.graph t.vertex _ t.contains) m hω.1,hω.2⟩ have heq : (ProductCylinder.law (s.history.parameter sc.q)).real (s.frozenEvent t ∩ ((t.child (t.vertex+outward d)).event m)ᶜ) = (ProductCylinder.law (s.history.parameter sc.q)).real (t.event m ∩ ((t.child (t.vertex+outward d)).event m)ᶜ) := by apply congrArg ENNReal.toReal apply measure_congr filter_upwards [s.history.ae_freeze sc.q] with ω hω change ((s.history.freeze ω ∈ t.event m) ∧ _) = ((ω ∈ t.event m) ∧ _) rw [hω] rw [heq] exact (measureReal_mono hi).trans hrelay theorem badMass_bound (sc : ScaleData m) {s : Exploration m sc.r} (hs : s.Valid sc.q sc.δ) : (scheme (r := sc.r) sc.q sc.δ).badMass s ≤ CriticalScales.contourError := by rw [badMass_eq] cases hq : s.queue with | nil => simpa only [markedBad,hq,Bool.false_eq_true,Set.ofPred_false,measureReal_empty] using CriticalScales.contourError_pos.le | cons t ts => let μ := ProductCylinder.law (s.history.parameter sc.q) let H := s.frozenEvent t let T (d : Direction) : Set m.Config := {ω | ω ∈ H ∧ t.vertex+outward d ∉ s.visited ∧ (ProductCylinder.law ((s.after ω).parameter sc.q)).real ((t.child (t.vertex+outward d)).event m) ≤ 1-sc.δ} have hH := frozenEvent_determined hs hq have hHm : MeasurableSet H := ProductCylinder.measurableSet_determined _ _ (fun ω ω' he => Eq.to_iff (hH ω ω' he)) have hHprob : μ.real Hᶜ < sc.δ := by rw [measureReal_compl hHm,probReal_univ] have hh := hs.promise t (by simp [hq]) have he := s.frozenEvent_probability sc.q t change μ.real H = μ.real (t.event m) at he rw [he] linarith have hT (d : Direction) : μ.real (T d) ≤ (13*sc.η)/sc.δ := by by_cases hx : t.vertex+outward d ∉ s.visited · have hh := conditional_failure_bound (s.history.parameter sc.q) s.reveal H ((t.child (t.vertex+outward d)).event m) hH ((t.child (t.vertex+outward d)).measurableSet_event m) sc.δ_range.1 (relay_failure sc hs hq d hx) have he : T d = {ω | ω ∈ H ∧ conditionalProbability (s.history.parameter sc.q) s.reveal ((t.child (t.vertex+outward d)).event m) ω ≤ 1-sc.δ} := by ext ω simp only [T,hx,not_false_eq_true,true_and,Set.mem_ofPred_eq,after,History.parameter_observe, conditionalProbability] rwa [he] · have he : T d = ∅ := by ext ω; simp only [T,hx,false_and,and_false,Set.mem_ofPred_eq,Set.mem_empty_iff_false] rw [he,measureReal_empty] exact div_nonneg (mul_nonneg (by norm_num) sc.η_range.1.le) sc.δ_range.1.le have hb : {ω | s.markedBad sc.q sc.δ ω = true} ⊆ Hᶜ ∪ ⋃ d, T d := by intro ω hω have hn : ¬s.Accept sc.q sc.δ t ω := by simpa only [Set.mem_ofPred_eq,markedBad,hq,decide_eq_true_eq] using hω by_cases hh : ω ∈ H · right have hcur := (accept_current_iff hs hq ω).mpr hh have hpred : ¬∀ u ∈ s.candidates t, 1-sc.δ < (ProductCylinder.law ((s.after ω).parameter sc.q)).real (u.event m) := fun hp => hn ⟨hcur,hp⟩ push Not at hpred obtain ⟨u,hu,hfail⟩ := hpred obtain ⟨⟨d,rfl⟩,hx⟩ := (mem_candidates s t u).mp hu exact Set.mem_iUnion.mpr ⟨d,hh,hx,hfail⟩ · exact Or.inl hh calc _ ≤ μ.real (Hᶜ ∪ ⋃ d, T d) := measureReal_mono hb _ ≤ μ.real Hᶜ + μ.real (⋃ d, T d) := measureReal_union_le _ _ _ ≤ μ.real Hᶜ + ∑ d, μ.real (T d) := add_le_add le_rfl (measureReal_iUnion_fintype_le _) _ ≤ μ.real Hᶜ + ∑ _d : Direction, (13*sc.η)/sc.δ := add_le_add le_rfl (Finset.sum_le_sum (fun d _ => hT d)) _ = μ.real Hᶜ + 52*sc.η/sc.δ := by simp only [Finset.sum_const,Finset.card_univ,Fintype.card_fin,nsmul_eq_mul] ring _ ≤ sc.δ + 52*sc.η/sc.δ := add_le_add hHprob.le le_rfl _ ≤ CriticalScales.contourError := sc.failure_budget.le theorem everHit_bound (sc : ScaleData m) {s : Exploration m sc.r} (hs : s.Valid sc.q sc.δ) (U : Finset Point) : (ProductCylinder.law (s.history.parameter sc.q)).real (⋃ n, (scheme (r := sc.r) sc.q sc.δ).hit n s U) ≤ CriticalScales.contourError^U.card := by apply AdaptiveReveals.Scheme.everHit_bound _ (Valid sc.q sc.δ) _ CriticalScales.contourError_pos.le (fun _ hs => badMass_bound sc hs) _ s hs U intro s hs a _ exact valid_advance hs _ end Coarse.Exploration end CriticalZ3 namespace CriticalZ3 open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory Classical InfiniteConditioning namespace Coarse.Exploration variable {m : Model} {r : ℕ} theorem advance_processed (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) {t : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) : (s.advance q δ ω).processed = insert t.vertex s.processed := by simp only [advance,hq] theorem advance_queue (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) {t : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) : (s.advance q δ ω).queue = ts ++ if s.Accept q δ t ω then s.candidates t else [] := by simp only [advance,hq] theorem mem_advance_queue (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) {t u : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) : u ∈ (s.advance q δ ω).queue ↔ u ∈ ts ∨ (s.Accept q δ t ω ∧ u ∈ s.candidates t) := by rw [s.advance_queue q δ ω hq,List.mem_append] by_cases h : s.Accept q δ t ω <;> simp [h] theorem processed_advance_mono (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) : s.processed ⊆ (s.advance q δ ω).processed := by cases hq : s.queue · rw [advance_empty s q δ ω hq] · rw [s.advance_processed q δ ω hq]; exact Finset.subset_insert _ _ theorem good_advance_mono (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) : s.good ⊆ (s.advance q δ ω).good := by cases hq : s.queue · rw [advance_empty s q δ ω hq] · simp only [advance,hq] split_ifs · exact Finset.subset_insert _ _ · exact Finset.Subset.refl _ theorem bad_advance_mono (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) : s.bad ⊆ (s.advance q δ ω).bad := by cases hq : s.queue · rw [advance_empty s q δ ω hq] · simp only [advance,hq] split_ifs · exact Finset.Subset.refl _ · exact Finset.subset_insert _ _ theorem visited_advance_mono (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) : s.visited ⊆ (s.advance q δ ω).visited := by cases hq : s.queue with | nil => rw [advance_empty s q δ ω hq] | cons t ts => intro v hv rcases Finset.mem_union.mp hv with hv|hv · exact (s.advance q δ ω).processed_visited (s.processed_advance_mono q δ ω hv) · obtain ⟨u,hu,rfl⟩ := List.mem_map.mp (List.mem_toFinset.mp hv) rw [hq,List.mem_cons] at hu rcases hu with rfl|hu · apply (s.advance q δ ω).processed_visited rw [s.advance_processed q δ ω hq] exact Finset.mem_insert_self _ _ · apply (s.advance q δ ω).queue_visited exact (s.mem_advance_queue q δ ω hq).mpr (Or.inl hu) theorem new_visited (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) {t : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) {v : Point} (hv : v ∈ (s.advance q δ ω).visited) : v ∈ s.visited ∨ (s.Accept q δ t ω ∧ ∃ d : Direction, v = t.vertex+outward d) := by rcases Finset.mem_union.mp hv with hv|hv · rw [s.advance_processed q δ ω hq,Finset.mem_insert] at hv rcases hv with rfl|hv · exact Or.inl (s.queue_visited (by simp [hq])) · exact Or.inl (s.processed_visited hv) · obtain ⟨u,hu,rfl⟩ := List.mem_map.mp (List.mem_toFinset.mp hv) rcases (s.mem_advance_queue q δ ω hq).mp hu with hu|⟨ha,hu⟩ · exact Or.inl (s.queue_visited (by simp [hq,hu])) · obtain ⟨⟨d,rfl⟩,_⟩ := (mem_candidates s t u).mp hu exact Or.inr ⟨ha,d,rfl⟩ theorem accepted_neighbors (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (ω : m.Config) {t : Packet r} {ts : List (Packet r)} (hq : s.queue = t::ts) (ha : s.Accept q δ t ω) (d : Direction) : t.vertex+outward d ∈ (s.advance q δ ω).visited := by by_cases hv : t.vertex+outward d ∈ s.visited · exact s.visited_advance_mono q δ ω hv · apply (s.advance q δ ω).queue_visited (t := t.child (t.vertex+outward d)) apply (s.mem_advance_queue q δ ω hq).mpr exact Or.inr ⟨ha,(mem_candidates _ _ _).mpr ⟨⟨d,rfl⟩,hv⟩⟩ structure Colored (s : Exploration m r) : Prop where partition : s.processed = s.good ∪ s.bad disjoint : Disjoint s.good s.bad def Closed (s : Exploration m r) : Prop := ∀ v ∈ s.good, ∀ d : Direction, v+outward d ∈ s.visited def Covered (s : Exploration m r) : Prop := ∀ v ∈ s.visited, v ∈ s.good ∨ ∃ u ∈ s.good, ∃ d : Direction, v = u+outward d theorem Colored.good_processed {s : Exploration m r} (h : s.Colored) : s.good ⊆ s.processed := by rw [h.partition]; exact Finset.subset_union_left theorem Colored.bad_processed {s : Exploration m r} (h : s.Colored) : s.bad ⊆ s.processed := by rw [h.partition]; exact Finset.subset_union_right theorem colored_advance {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) (hc : s.Colored) (ω : m.Config) : (s.advance q δ ω).Colored := by cases hq : s.queue with | nil => rwa [advance_empty s q δ ω hq] | cons t ts => have hn := hs.unprocessed t (by simp [hq]) have hng : t.vertex ∉ s.good := fun h => hn (hc.good_processed h) have hnb : t.vertex ∉ s.bad := fun h => hn (hc.bad_processed h) constructor · simp only [advance,hq] split_ifs <;> simp only [hc.partition,Finset.insert_union,Finset.union_insert] · simp only [advance,hq] split_ifs · exact Finset.disjoint_insert_left.mpr ⟨hnb,hc.disjoint⟩ · exact Finset.disjoint_insert_right.mpr ⟨hng,hc.disjoint⟩ theorem closed_advance (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (hc : s.Closed) (ω : m.Config) : (s.advance q δ ω).Closed := by cases hq : s.queue with | nil => rwa [advance_empty s q δ ω hq] | cons t ts => intro v hv d simp only [advance,hq] at hv split_ifs at hv with ha · rcases Finset.mem_insert.mp hv with rfl|hv · exact s.accepted_neighbors q δ ω hq ha d · exact s.visited_advance_mono q δ ω (hc _ hv d) · exact s.visited_advance_mono q δ ω (hc _ hv d) theorem covered_advance (s : Exploration m r) (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (hc : s.Covered) (ω : m.Config) : (s.advance q δ ω).Covered := by cases hq : s.queue with | nil => rwa [advance_empty s q δ ω hq] | cons t ts => intro v hv rcases s.new_visited q δ ω hq hv with hv|⟨ha,d,rfl⟩ · rcases hc _ hv with hv|⟨u,hu,d,he⟩ · exact Or.inl (s.good_advance_mono q δ ω hv) · exact Or.inr ⟨u,s.good_advance_mono q δ ω hu,d,he⟩ · right refine ⟨t.vertex,?_,d,rfl⟩ simp only [advance,hq,ite_eq_left ha] exact Finset.mem_insert_self _ _ noncomputable def run (q : Set.Icc (0:ℝ) 1) (δ : ℝ) : ℕ → Exploration m r → m.Config → Exploration m r | 0,s,_ => s | n+1,s,ω => run q δ n (s.advance q δ ω) ω @[simp] theorem run_zero (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) : run q δ 0 s ω = s := rfl @[simp] theorem run_succ (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (n : ℕ) (s : Exploration m r) (ω : m.Config) : run q δ (n+1) s ω = run q δ n (s.advance q δ ω) ω := rfl theorem run_succ_right (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (n : ℕ) (s : Exploration m r) (ω : m.Config) : run q δ (n+1) s ω = (run q δ n s ω).advance q δ ω := by induction n generalizing s with | zero => rfl | succ n ih => rw [run_succ,ih,run_succ] theorem run_valid {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) (n : ℕ) (ω : m.Config) : (run q δ n s ω).Valid q δ := by induction n generalizing s with | zero => exact hs | succ n ih => exact ih (valid_advance hs ω) theorem run_colored {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) (hc : s.Colored) (n : ℕ) (ω : m.Config) : (run q δ n s ω).Colored := by induction n generalizing s with | zero => exact hc | succ n ih => exact ih (valid_advance hs ω) (colored_advance hs hc ω) theorem run_closed (q : Set.Icc (0:ℝ) 1) (δ : ℝ) {s : Exploration m r} (hc : s.Closed) (n : ℕ) (ω : m.Config) : (run q δ n s ω).Closed := by induction n generalizing s with | zero => exact hc | succ n ih => exact ih (closed_advance s q δ hc ω) theorem run_covered (q : Set.Icc (0:ℝ) 1) (δ : ℝ) {s : Exploration m r} (hc : s.Covered) (n : ℕ) (ω : m.Config) : (run q δ n s ω).Covered := by induction n generalizing s with | zero => exact hc | succ n ih => exact ih (covered_advance s q δ hc ω) theorem run_good_mono (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) : Monotone (fun n => (run q δ n s ω).good) := by apply monotone_nat_of_le_succ intro n rw [run_succ_right] exact good_advance_mono _ _ _ _ theorem run_bad_mono (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) : Monotone (fun n => (run q δ n s ω).bad) := by apply monotone_nat_of_le_succ intro n rw [run_succ_right] exact bad_advance_mono _ _ _ _ theorem run_empty (q : Set.Icc (0:ℝ) 1) (δ : ℝ) {s : Exploration m r} (hs : s.queue = []) (n : ℕ) (ω : m.Config) : run q δ n s ω = s := by induction n with | zero => rfl | succ n ih => rw [run_succ,advance_empty s q δ ω hs,ih] noncomputable def Good (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) : Set Point := {v | ∃ n, v ∈ (run q δ n s ω).good} noncomputable def Bad (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (v : Point) : Set m.Config := {ω | ∃ n, v ∈ (run q δ n s ω).bad} theorem initial_good_subset (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) : (s.good : Set Point) ⊆ Good q δ s ω := fun _ hv => ⟨0,hv⟩ end Coarse.Exploration end CriticalZ3 end OAI