import Mathlib import OAI.Probability.CriticalPercolation.Exploration.QueryDelta import OAI.Probability.CriticalPercolation.ProductMeasure.ExpectClosedFlip namespace OAI section section open Set MeasureTheory ProbabilityTheory open Set open scoped BigOperators open scoped Classical namespace CriticalPercolation.SearchTree open scoped Classical open FiniteProduct LazyDFS variable {E R : Type*} [Fintype E] [DecidableEq E] noncomputable def closedPivotWeight (T : SearchTree E R) (p : ℝ) (F : Set E → Prop) (w : E → Prop → ℝ) (ω : Set E) (e : E) : ℝ := if ¬ω e ∧ openPivot F e (Function.update ω e True) then p*T.queryDelta F w ω e else 0 theorem contact_flip_identity (T : SearchTree E R) (used : Finset E) (hT : T.Valid used) {p : ℝ} (hp : p ∈ Set.Ioo 0 1) (F : Set E → Prop) (w : E → Prop → ℝ) (hw : ∀ e, ∑ b, w e b = 1) (h0 : ∀ e, w e False = 1-p) (h1 : ∀ e, w e True = p) (ψ : ℝ → ℝ) : expect w (fun ω => ∑ e, T.closedPivotWeight p F w ω e * ψ (T.score p F w (Function.update ω e True))) = expect w (fun ω => T.score p F w ω * ψ (T.score p F w ω)) := by have hsingle (e : E) : expect w (fun ω => T.closedPivotWeight p F w ω e * ψ (T.score p F w (Function.update ω e True))) = expect w (fun ω => (if openPivot F e ω then (1-p)*T.queryDelta F w ω e else 0) * ψ (T.score p F w ω)) := by have h := expect_closed_flip_decidable w hw e hp (h0 e) (h1 e) (fun ω => (if openPivot F e ω then T.queryDelta F w ω e else 0) * ψ (T.score p F w ω)) convert h using 1 · congr 1 funext ω let σ : Set E := ω change T.closedPivotWeight p F w σ e * ψ (T.score p F w (Function.update σ e True)) = if ¬σ e then p*((if openPivot F e (Function.update σ e True) then T.queryDelta F w (Function.update σ e True) e else 0) * ψ (T.score p F w (Function.update σ e True))) else 0 rw [queryDelta_update T F w σ e True] simp only [closedPivotWeight] by_cases hc : σ e <;> by_cases hpiv : openPivot F e (Function.update σ e True) <;> simp [hc,hpiv,mul_assoc] · congr 1 funext ω by_cases hpiv : openPivot F e ω · simp only [ite_eq_left hpiv,ite_eq_left hpiv.1]; ring · simp only [ite_eq_right hpiv,mul_zero,zero_mul,ite_self] rw [expect_sum] simp_rw [hsingle] rw [← expect_sum] congr 1 funext ω rw [← Finset.sum_mul] exact congrArg (fun x => x * ψ (T.score p F w ω)) (score_eq_queryDelta_sum T used hT p F w ω).symm end CriticalPercolation.SearchTree namespace CriticalPercolation.SearchTree open scoped Classical open FiniteProduct LazyDFS variable {E R : Type*} [Fintype E] [DecidableEq E] noncomputable def prefixScore (T : SearchTree E R) (p : ℝ) (F : Set E → Prop) (w : E → Prop → ℝ) (ω : Set E) (e : E) : ℝ := match T with | .done _ => 0 | .ask f l r => (if openPivot F f ω then (1-p)*delta w F f else 0) + if e = f then 0 else if ω f then r.prefixScore p F (pin w f True) ω e else l.prefixScore p F (pin w f False) ω e lemma prefixScore_le (T : SearchTree E R) (used : Finset E) (hT : T.Valid used) {p : ℝ} (hp : p ∈ Set.Ioo 0 1) (F : Set E → Prop) (hF : ∀ s t, s ⊆ t → F s → F t) (w : E → Prop → ℝ) (hw : ∀ e, ∑ b, w e b = 1) (hn : ∀ e b, 0 ≤ w e b) (hf : Fresh w p used) (ω : Set E) (e : E) : T.prefixScore p F w ω e ≤ T.score p F w ω := by induction T generalizing used w with | done _ => exact le_rfl | ask f l r hl hr => simp only [prefixScore,score] apply add_le_add_right by_cases he : e = f · rw [ite_eq_left he] by_cases ho : ω f · rw [ite_eq_left ho] exact score_nonneg r _ hT.2.2 hp F hF _ (pin_normalized w hw f True) (pin_nonneg w hn f True) (fresh_pin w p used hf f True) ω · rw [ite_eq_right ho] exact score_nonneg l _ hT.2.1 hp F hF _ (pin_normalized w hw f False) (pin_nonneg w hn f False) (fresh_pin w p used hf f False) ω · rw [ite_eq_right he] by_cases ho : ω f · rw [ite_eq_left ho,ite_eq_left ho] exact hr _ hT.2.2 _ (pin_normalized w hw f True) (pin_nonneg w hn f True) (fresh_pin w p used hf f True) · rw [ite_eq_right ho,ite_eq_right ho] exact hl _ hT.2.1 _ (pin_normalized w hw f False) (pin_nonneg w hn f False) (fresh_pin w p used hf f False) lemma closedPivotWeight_nonneg (T : SearchTree E R) (used : Finset E) (hT : T.Valid used) {p : ℝ} (hp : p ∈ Set.Ioo 0 1) (F : Set E → Prop) (hF : ∀ s t, s ⊆ t → F s → F t) (w : E → Prop → ℝ) (hw : ∀ e, ∑ b, w e b = 1) (hn : ∀ e b, 0 ≤ w e b) (hf : Fresh w p used) (ω : Set E) (e : E) : 0 ≤ T.closedPivotWeight p F w ω e := by unfold closedPivotWeight split_ifs · exact mul_nonneg hp.1.le (queryDelta_nonneg T used hT hp F hF w hw hn hf ω e) · exact le_rfl theorem marked_prefix_bound (T : SearchTree E R) (used : Finset E) (hT : T.Valid used) {p : ℝ} (hp : p ∈ Set.Ioo 0 1) (F : Set E → Prop) (hF : ∀ s t, s ⊆ t → F s → F t) (w : E → Prop → ℝ) (hw : ∀ e, ∑ b, w e b = 1) (hn : ∀ e b, 0 ≤ w e b) (hf : Fresh w p used) (h0 : ∀ e, w e False = 1-p) (h1 : ∀ e, w e True = p) : expect w (fun ω => ∑ e, T.closedPivotWeight p F w ω e * (1 + T.prefixScore p F w (Function.update ω e True) e)) ≤ expect w (T.score p F w) + expect w (fun ω => (T.score p F w ω)^2) := by calc _ ≤ expect w (fun ω => ∑ e, T.closedPivotWeight p F w ω e * (1 + T.score p F w (Function.update ω e True))) := by apply expect_mono hn intro ω apply Finset.sum_le_sum intro e _ exact mul_le_mul_of_nonneg_left (add_le_add_right (prefixScore_le T used hT hp F hF w hw hn hf _ e) 1) (closedPivotWeight_nonneg T used hT hp F hF w hw hn hf ω e) _ = expect w (fun ω => T.score p F w ω * (1 + T.score p F w ω)) := contact_flip_identity T used hT hp F w hw h0 h1 (fun x => 1+x) _ = expect w (fun ω => T.score p F w ω + (T.score p F w ω)^2) := by congr 1 funext ω ring _ = _ := expect_add w _ _ end CriticalPercolation.SearchTree end end end OAI