import OAI.Probability.CriticalZ3.ExplorationInvariant 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 run_add (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (a b : ℕ) (s : Exploration m r) (ω : m.Config) : run q δ (a+b) s ω = run q δ b (run q δ a s ω) ω := by induction a generalizing s with | zero => simp only [Nat.zero_add,run_zero] | succ a ih => rw [Nat.succ_add,run_succ,ih,run_succ] theorem run_stable (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) {N k : ℕ} (hN : (run q δ N s ω).queue = []) (hk : N ≤ k) : run q δ k s ω = run q δ N s ω := by rw [←Nat.add_sub_of_le hk,run_add] exact run_empty q δ hN _ ω theorem good_eq_of_empty (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) {N : ℕ} (hN : (run q δ N s ω).queue = []) : Good q δ s ω = ((run q δ N s ω).good : Set Point) := by ext v constructor · rintro ⟨k,hk⟩ have hh := run_good_mono q δ s ω (show k ≤ N+k by omega) hk dsimp only at hh rwa [run_stable q δ s ω hN (show N ≤ N+k by omega)] at hh · intro h; exact ⟨N,h⟩ theorem exists_empty_of_finite_good {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) (hc : s.Covered) (ω : m.Config) (hfin : (Good q δ s ω).Finite) : ∃ n, (run q δ n s ω).queue = [] := by let X := Good q δ s ω let F := X ∪ ⋃ d : Direction, (fun v : Point => v+outward d) '' X have hF : F.Finite := hfin.union (Set.finite_iUnion (fun d => hfin.image _)) have hbound (n : ℕ) : (run q δ n s ω).processed ⊆ hF.toFinset := by intro v hv apply hF.mem_toFinset.mpr have hh := run_covered q δ hc n ω v ((run q δ n s ω).processed_visited hv) rcases hh with hv|⟨u,hu,d,rfl⟩ · exact Or.inl ⟨n,hv⟩ · exact Or.inr (Set.mem_iUnion.mpr ⟨d,u,⟨n,hu⟩,rfl⟩) by_contra! hn have hcard (n : ℕ) : s.processed.card+n ≤ (run q δ n s ω).processed.card := by induction n with | zero => simp only [run_zero,Nat.add_zero,le_refl] | succ n ih => have hvalid := run_valid hs n ω cases hq : (run q δ n s ω).queue with | nil => exact False.elim (hn n hq) | cons t ts => rw [run_succ_right,advance_processed _ q δ ω hq, Finset.card_insert_of_notMem (hvalid.unprocessed t (by simp [hq]))] omega have hh := (hcard (hF.toFinset.card+1)).trans (Finset.card_le_card (hbound _)) omega theorem outside_bad {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) (hc : s.Colored) (hclosed : s.Closed) (hcovered : s.Covered) (ω : m.Config) (hfin : (Good q δ s ω).Finite) {x : Point} (hx : x ∈ Good q δ s ω) (d : Direction) (hy : x+outward d ∉ Good q δ s ω) : ω ∈ Bad q δ s (x+outward d) := by obtain ⟨N,hN⟩ := exists_empty_of_finite_good hs hcovered ω hfin have he := good_eq_of_empty q δ s ω hN have hxN : x ∈ (run q δ N s ω).good := by change x ∈ ((run q δ N s ω).good : Set Point) rwa [←he] have hv := run_closed q δ hclosed N ω x hxN d have hp : x+outward d ∈ (run q δ N s ω).processed := by simpa only [visited,hN,List.map_nil,List.toFinset_nil,Finset.union_empty] using hv rw [(run_colored hs hc N ω).partition,Finset.mem_union] at hp rcases hp with hg|hb · exact False.elim (hy ⟨N,hg⟩) · exact ⟨N,hb⟩ theorem hit_of_bad_subset {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) (U : Finset Point) (hd : Disjoint U s.processed) (hU : U ⊆ (run q δ n s ω).bad) : ω ∈ (scheme (r := r) q δ).hit n s U := by induction n generalizing s U with | zero => have he : U = ∅ := by apply Finset.eq_empty_iff_forall_notMem.mpr intro v hv exact Finset.disjoint_left.mp hd hv (hc.bad_processed (hU hv)) rw [he,AdaptiveReveals.Scheme.hit_empty] trivial | succ n ih => cases hq : s.queue with | nil => have he : U = ∅ := by apply Finset.eq_empty_iff_forall_notMem.mpr intro v hv rw [run_empty q δ hq] at hU exact Finset.disjoint_left.mp hd hv (hc.bad_processed (hU hv)) rw [he,AdaptiveReveals.Scheme.hit_empty] trivial | cons t ts => have hchild : (scheme (r := r) q δ).child s (s.reveal.restrict ω) = s.advance q δ ω := (ProductCylinder.determinedBy_eq_extend (s.advance_determined q δ) ω).symm have hbad : (scheme (r := r) q δ).bad s (s.reveal.restrict ω) = s.markedBad q δ ω := (ProductCylinder.determinedBy_eq_extend (s.markedBad_determined q δ) ω).symm have hv : (scheme (r := r) q δ).vertex s = some t.vertex := by simp only [scheme,hq,List.head?_cons,Option.map_some] rw [AdaptiveReveals.Scheme.hit,hv] change (t.vertex ∈ U → (scheme (r := r) q δ).bad s (s.reveal.restrict ω) = true) ∧ ω ∈ (scheme (r := r) q δ).hit n ((scheme (r := r) q δ).child s (s.reveal.restrict ω)) (U.erase t.vertex) rw [hchild,hbad] constructor · intro hv have hna : ¬s.Accept q δ t ω := by intro ha have hg : t.vertex ∈ (s.advance q δ ω).good := by simp only [advance,hq,ite_eq_left ha]; exact Finset.mem_insert_self _ _ have hg' := run_good_mono q δ (s.advance q δ ω) ω (Nat.zero_le n) hg exact Finset.disjoint_left.mp (run_colored hs hc (n+1) ω).disjoint hg' (hU hv) simpa only [markedBad,hq,decide_eq_true_eq] using hna · apply ih (valid_advance hs ω) (colored_advance hs hc ω) (U.erase t.vertex) · apply Finset.disjoint_left.mpr intro v hv hp rw [advance_processed s q δ ω hq,Finset.mem_insert] at hp rcases hp with he|hp · exact (Finset.mem_erase.mp hv).1 he · exact Finset.disjoint_left.mp hd (Finset.mem_of_mem_erase hv) hp · exact Finset.Subset.trans (Finset.erase_subset _ _) hU theorem exists_bad_time (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config) (U : Finset Point) (hU : ∀ v ∈ U, ω ∈ Bad q δ s v) : ∃ n, U ⊆ (run q δ n s ω).bad := by induction U using Finset.induction_on with | empty => exact ⟨0,Finset.empty_subset _⟩ | @insert a U ha ih => obtain ⟨k,hk⟩ := hU a (Finset.mem_insert_self _ _) obtain ⟨n,hn⟩ := ih (fun v hv => hU v (Finset.mem_insert_of_mem hv)) refine ⟨max k n,?_⟩ intro v hv rcases Finset.mem_insert.mp hv with rfl|hv · exact run_bad_mono q δ s ω (le_max_left _ _) hk · exact run_bad_mono q δ s ω (le_max_right _ _) (hn hv) theorem bad_set_subset {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r} (hs : s.Valid q δ) (hc : s.Colored) (hb : s.bad = ∅) (U : Finset Point) : {ω | ∀ v ∈ U, ω ∈ Bad q δ s v} ⊆ ⋃ n, (scheme (r := r) q δ).hit n s U := by intro ω hω obtain ⟨n,hn⟩ := exists_bad_time q δ s ω U hω apply Set.mem_iUnion.mpr refine ⟨n,hit_of_bad_subset hs hc n ω U ?_ hn⟩ apply Finset.disjoint_left.mpr intro v hv hp have hg : v ∈ s.good := by simpa only [hc.partition,hb,Finset.union_empty] using hp have hgn := run_good_mono q δ s ω (Nat.zero_le n) hg exact Finset.disjoint_left.mp (run_colored hs hc n ω).disjoint hgn (hn hv) theorem bad_set_bound (sc : ScaleData m) {s : Exploration m sc.r} (hs : s.Valid sc.q sc.δ) (hc : s.Colored) (hb : s.bad = ∅) (U : Finset Point) : (ProductCylinder.law (s.history.parameter sc.q)).real {ω | ∀ v ∈ U, ω ∈ Bad sc.q sc.δ s v} ≤ CriticalScales.contourError^U.card := (measureReal_mono (bad_set_subset hs hc hb U)).trans (everHit_bound sc hs U) theorem finite_good_bound (sc : ScaleData m) {s : Exploration m sc.r} (hs : s.Valid sc.q sc.δ) (hc : s.Colored) (hb : s.bad = ∅) (hclosed : s.Closed) (hcovered : s.Covered) : (ProductCylinder.law (s.history.parameter sc.q)).real {ω | (Good sc.q sc.δ s ω).Finite ∧ (0,0) ∈ Good sc.q sc.δ s ω} ≤ 25/144 := by apply PlanarBoundary.finite_good_bound _ (Good sc.q sc.δ s) (Bad sc.q sc.δ s) (fun ω hfin x hx d hy => outside_bad hs hc hclosed hcovered ω hfin hx d hy) (fun U => bad_set_bound sc hs hc hb U) end Coarse.Exploration end CriticalZ3 end OAI