import Mathlib import OAI.Computability.VertexCover.Sampling.TraceLaw import OAI.Computability.VertexCover.Sampling.Rectangle namespace OAI section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section namespace UniqueGames.Foundations.CorrelatedSampling noncomputable section variable {σ α : Type*} [Fintype σ] [DecidableEq σ] [DecidableEq α] def localSample (accept : σ → Bool) (decode : σ → α) (fallback : α) (proposals : List σ) : α := ((firstAccepted accept proposals).map decode).getD fallback def localDiagonal (left right : σ → Bool) (decode : σ → α) (fallback a : α) (proposals : List σ) : ℝ := if localSample left decode fallback proposals = a ∧ localSample right decode fallback proposals = a then 1 else 0 def goodLabel (left right : σ → Bool) (decode : σ → α) (a : α) (s : σ) : Bool := (left s && right s) && decide (decode s = a) omit [Fintype σ] [DecidableEq σ] in theorem common_first_label_lower (left right : σ → Bool) (decode : σ → α) (fallback a : α) (proposals : List σ) : goodFirstIndicator (fun s => left s || right s) (goodLabel left right decode a) proposals ≤ localDiagonal left right decode fallback a proposals := by cases hfirst : firstAccepted (fun s => left s || right s) proposals with | none => simp only [goodFirstIndicator, hfirst] unfold localDiagonal split_ifs <;> norm_num | some s => by_cases hc : goodLabel left right decode a s = true · have hparts : (left s = true ∧ right s = true) ∧ decode s = a := by simpa [goodLabel] using hc have h := first_union_common left right proposals s hfirst hparts.1.1 hparts.1.2 simp [goodFirstIndicator, hfirst, hc, localDiagonal, localSample, h.1, h.2, hparts.2] · have hn : 0 ≤ localDiagonal left right decode fallback a proposals := by unfold localDiagonal split_ifs <;> norm_num simpa [goodFirstIndicator, hfirst, hc] using hn omit [DecidableEq σ] in theorem union_goodLabel_mass (w : σ → ℝ) (left right : σ → Bool) (decode : σ → α) (a : α) : eventMass w (fun s => (left s || right s) && goodLabel left right decode a s) = eventMass w (goodLabel left right decode a) := by unfold eventMass apply Finset.sum_congr rfl intro s _ cases hl : left s <;> cases hr : right s <;> simp [goodLabel, hl, hr] theorem finite_label_diagonal_bound (w : σ → ℝ) (left right : σ → Bool) (decode : σ → α) (fallback a : α) (hw : ∀ s, 0 ≤ w s) (hw_sum : ∑ s, w s = 1) (hu : 0 < eventMass w (fun s => left s || right s)) (n : Nat) : eventMass w (goodLabel left right decode a) / eventMass w (fun s => left s || right s) * (1 - eventMass w (fun s => !(left s || right s)) ^ n) ≤ traceAverage w n (localDiagonal left right decode fallback a) := by have h := traceAverage_mono w hw n _ _ (common_first_label_lower left right decode fallback a) rw [goodFirstIndicator_law w _ _ hw_sum n, goodFirstMass_exact w _ _ hw_sum (ne_of_gt hu) n, union_goodLabel_mass] at h exact h section Rectangle variable [Fintype α] [Nonempty α] theorem rectangle_label_diagonal_bound (thresholds : List ℝ) (p q : α → ℝ) (fallback a : α) (hpm : ∀ x, p x ∈ thresholds) (hqm : ∀ x, q x ∈ thresholds) (hp0 : ∀ x, 0 ≤ p x) (hq0 : ∀ x, 0 ≤ q x) (hp1 : ∀ x, p x ≤ 1) (hq1 : ∀ x, q x ≤ 1) (hpsum : ∑ x, p x = 1) (hqsum : ∑ x, q x = 1) (n : Nat) : min (p a) (q a) / (1 + totalVariation p q) * (1 - eventMass (rectangleWeight thresholds) (fun s => !(rectangleAccept thresholds p s || rectangleAccept thresholds q s)) ^ n) ≤ traceAverage (rectangleWeight thresholds) n (localDiagonal (rectangleAccept thresholds p) (rectangleAccept thresholds q) Prod.fst fallback a) := by have hc : 0 < (Fintype.card α : ℝ) := by exact_mod_cast Fintype.card_pos have hU : 0 < unionMass p q := by rw [unionMass_eq p q hpsum hqsum] linarith [totalVariation_nonneg p q] have hmass := rectangle_union_mass thresholds p q hpm hqm hp0 hq0 hp1 hq1 have hu : 0 < eventMass (rectangleWeight thresholds) (fun s => rectangleAccept thresholds p s || rectangleAccept thresholds q s) := by rw [hmass] exact div_pos hU hc have h := finite_label_diagonal_bound (rectangleWeight thresholds) (rectangleAccept thresholds p) (rectangleAccept thresholds q) Prod.fst fallback a (rectangleWeight_nonnegative thresholds) (rectangleWeight_normalized thresholds) hu n unfold goodLabel at h rw [rectangle_common_label_mass thresholds p q a hpm hqm hp0 hq0 hp1 hq1, hmass] at h have hratio : (min (p a) (q a) / (Fintype.card α : ℝ)) / (unionMass p q / (Fintype.card α : ℝ)) = min (p a) (q a) / unionMass p q := by field_simp rw [hratio, unionMass_eq p q hpsum hqsum] at h exact h end Rectangle end end UniqueGames.Foundations.CorrelatedSampling end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end OAI