import Mathlib import OAI.Probability.CriticalPercolation.Model namespace OAI section section open Set MeasureTheory ProbabilityTheory open Set open scoped BigOperators open scoped Classical namespace CriticalPercolation inductive SearchTree (E R : Type*) where | done (r : R) | ask (e : E) (left right : SearchTree E R) namespace SearchTree variable {E R : Type*} def run : SearchTree E R → (E → Bool) → R | .done r, _ => r | .ask e l r, ω => if ω e then run r ω else run l ω def reads : SearchTree E R → (E → Bool) → List E | .done _, _ => [] | .ask e l r, ω => e :: if ω e then reads r ω else reads l ω def Valid [DecidableEq E] : SearchTree E R → Finset E → Prop | .done _, _ => True | .ask e l r, used => e ∉ used ∧ l.Valid (insert e used) ∧ r.Valid (insert e used) lemma reads_disjoint [DecidableEq E] (t : SearchTree E R) (used : Finset E) (h : t.Valid used) (ω : E → Bool) : ∀ e ∈ t.reads ω, e ∉ used := by induction t generalizing used with | done r => simp [reads] | ask e l r hl hr => intro f hf rcases List.mem_cons.mp hf with rfl | hf · exact h.1 · by_cases he : ω e = true · have hm : f ∈ r.reads ω := by simpa [reads,he] using hf exact fun hx => hr _ h.2.2 _ hm (Finset.mem_insert_of_mem hx) · have hm : f ∈ l.reads ω := by simpa [reads,he] using hf exact fun hx => hl _ h.2.1 _ hm (Finset.mem_insert_of_mem hx) lemma reads_nodup [DecidableEq E] (t : SearchTree E R) (used : Finset E) (h : t.Valid used) (ω : E → Bool) : (t.reads ω).Nodup := by induction t generalizing used with | done r => simp [reads] | ask e l r hl hr => rw [reads,List.nodup_cons] by_cases he : ω e = true · simp only [he,↓reduceIte] exact ⟨fun hm => reads_disjoint r _ h.2.2 ω e hm (Finset.mem_insert_self _ _), hr _ h.2.2⟩ · simp only [he] exact ⟨fun hm => reads_disjoint l _ h.2.1 ω e hm (Finset.mem_insert_self _ _), hl _ h.2.1⟩ end SearchTree namespace LazyDFS variable {V E : Type*} [DecidableEq V] [DecidableEq E] abbrev Dart (V E : Type*) := V × E × V structure State (V E : Type*) where reached : Finset V read : Finset E def State.closed (s : State V E) (e : E) : State V E := ⟨s.reached,insert e s.read⟩ def State.opened (s : State V E) (e : E) (v : V) : State V E := ⟨insert v s.reached,insert e s.read⟩ def push (G : BondGraph V E) (order : List (Dart V E)) (v : V) : List (Dart V E) := order.filter fun d => d.1 = v ∧ G.ends d.2.1 = s(d.1,d.2.2) omit [DecidableEq E] in lemma push_length (G : BondGraph V E) (order : List (Dart V E)) (v : V) : (push G order v).length ≤ order.length := List.length_filter_le _ _ noncomputable def compile (G : BondGraph V E) (order : List (Dart V E)) (B : Set V) : ℕ → State V E → List (Dart V E) → SearchTree E (State V E) | 0, st, _ => .done st | n+1, st, stack => if ∃ v ∈ st.reached, v ∈ B then .done st else match stack with | [] => .done st | d :: rest => if d.2.2 ∈ st.reached ∨ d.2.1 ∈ st.read ∨ d.1 ∉ st.reached ∨ G.ends d.2.1 ≠ s(d.1,d.2.2) then compile G order B n st rest else .ask d.2.1 (compile G order B n (st.closed d.2.1) rest) (compile G order B n (st.opened d.2.1 d.2.2) (push G order d.2.2 ++ rest)) lemma compile_valid (G : BondGraph V E) (order : List (Dart V E)) (B : Set V) (fuel : ℕ) (st : State V E) (stack : List (Dart V E)) : (compile G order B fuel st stack).Valid st.read := by induction fuel generalizing st stack with | zero => trivial | succ n ih => rw [compile.eq_def] dsimp only split_ifs with hh · trivial · cases stack with | nil => trivial | cons d rest => dsimp only split_ifs with hd · exact ih st rest · exact ⟨fun he => hd (Or.inr (Or.inl he)), ih _ _, ih _ _⟩ variable [Fintype V] def rank (order : List (Dart V E)) (st : State V E) (stack : List (Dart V E)) : ℕ := (Fintype.card V - st.reached.card)*(order.length+1)+stack.length omit [DecidableEq V] [DecidableEq E] in lemma rank_pop (order : List (Dart V E)) (st : State V E) (d : Dart V E) (rest : List (Dart V E)) : rank order st rest < rank order st (d::rest) := by simp [rank] omit [DecidableEq V] in lemma rank_closed (order : List (Dart V E)) (st : State V E) (d : Dart V E) (rest : List (Dart V E)) : rank order (st.closed d.2.1) rest < rank order st (d::rest) := by simp [rank,State.closed] lemma rank_opened (G : BondGraph V E) (order : List (Dart V E)) (st : State V E) (d : Dart V E) (rest : List (Dart V E)) (h : d.2.2 ∉ st.reached) : rank order (st.opened d.2.1 d.2.2) (push G order d.2.2 ++ rest) < rank order st (d::rest) := by have hc : st.reached.card < Fintype.card V := by have hh := Finset.card_le_univ (s := insert d.2.2 st.reached) rw [Finset.card_insert_of_notMem h] at hh omega have hp := push_length G order d.2.2 simp only [rank,State.opened,Finset.card_insert_of_notMem h,List.length_append,List.length_cons] have he : Fintype.card V - (st.reached.card+1) + 1 = Fintype.card V-st.reached.card := by omega have hm := congrArg (fun n => n*(order.length+1)) he simp only [Nat.add_mul,Nat.one_mul] at hm omega omit [Fintype V] in lemma compile_mono (G : BondGraph V E) (order : List (Dart V E)) (B : Set V) (fuel : ℕ) (st : State V E) (stack : List (Dart V E)) (ω : E → Bool) : st.reached ⊆ ((compile G order B fuel st stack).run ω).reached ∧ st.read ⊆ ((compile G order B fuel st stack).run ω).read := by induction fuel generalizing st stack with | zero => exact ⟨Finset.Subset.refl _,Finset.Subset.refl _⟩ | succ n ih => rw [compile.eq_def] dsimp only split_ifs with hh · exact ⟨Finset.Subset.refl _,Finset.Subset.refl _⟩ · cases stack with | nil => exact ⟨Finset.Subset.refl _,Finset.Subset.refl _⟩ | cons d rest => dsimp only split_ifs with hd · exact ih _ _ · rw [SearchTree.run] split_ifs with he · exact ⟨(Finset.subset_insert _ _).trans (ih (st.opened d.2.1 d.2.2) _).1, (Finset.subset_insert d.2.1 _).trans (ih (st.opened d.2.1 d.2.2) _).2⟩ · exact ⟨(ih (st.closed d.2.1) rest).1, (Finset.subset_insert d.2.1 _).trans (ih (st.closed d.2.1) rest).2⟩ end LazyDFS end CriticalPercolation end end end OAI