import OAI.Probability.MatroidProphet.Algorithm.Statistics namespace OAI namespace MatroidProphet.MainAlgorithm open Set Finset variable {n : ℕ} lemma groupMask_function_eq_inter (M : Matroid (Fin n)) (d : MainMasks n) (w : Fin n → Option ℤ) (mask : Finset (Fin n)) : groupMask M d w mask = fun j => (mask : Set (Fin n)) ∩ (pathGroups M d w j : Set (Fin n)) := by funext j exact groupMask_eq_inter M d w mask j lemma listedZ_update_T (M : Matroid (Fin n)) (hE : M.E = Set.univ) (d : MainMasks n) (w : Fin n → Option ℤ) (h : ℕ) (T : Finset (Fin n)) : listedZ M hE {d with T := T} w h = nominalRankStatistic M hE (2^100) (groupMask M d w d.D) (groupMask M d w d.C) (fun j => (T : Set (Fin n)) ∩ (pathGroups M d w j : Set (Fin n))) h (pathGroups M d w h) ((d.H ∪ d.D ∪ d.C : Finset (Fin n)) : Set (Fin n)) (boolParity d.odd) := by unfold listedZ change nominalRankStatistic M hE (2^100) (groupMask M d w d.D) (groupMask M d w d.C) (groupMask M d w T) h (groupMask M d w univ h) ((d.H ∪ d.D ∪ d.C : Finset (Fin n)) : Set (Fin n)) (boolParity d.odd) = _ rw [groupMask_function_eq_inter M d w T, ← pathGroups_coe] lemma listedLambda_update_T (M : Matroid (Fin n)) (hE : M.E = Set.univ) (d : MainMasks n) (w : Fin n → Option ℤ) (h : ℕ) (T : Finset (Fin n)) : listedLambda M hE {d with T := T} w h = finalRankStatistic M hE (2^100) (groupMask M d w d.D) (groupMask M d w d.C) (fun j => (T : Set (Fin n)) ∩ (pathGroups M d w j : Set (Fin n))) h (groups M d w).length (pathGroups M d w h) ((d.H ∪ d.D ∪ d.C : Finset (Fin n)) : Set (Fin n)) (T : Set (Fin n)) (boolParity d.odd) := by unfold listedLambda change finalRankStatistic M hE (2^100) (groupMask M d w d.D) (groupMask M d w d.C) (groupMask M d w T) h (groups M d w).length (groupMask M d w univ h) ((d.H ∪ d.D ∪ d.C : Finset (Fin n)) : Set (Fin n)) (T : Set (Fin n)) (boolParity d.odd) = _ rw [groupMask_function_eq_inter M d w T, ← pathGroups_coe] theorem listed_expected_nominal_to_final (M : Matroid (Fin n)) (hE : M.E = Set.univ) (d : MainMasks n) (w : Fin n → Option ℤ) (h : ℕ) (hh : h < (groups M d w).length) (t : ℝ) (ht0 : 0 ≤ t) (ht1 : t ≤ 1) : densityThreshold * t * bitsExpectation (fun _ : Fin n => t) univ (fun T => (listedZ M hE {d with T := T} w h : ℝ)) ≤ densityThreshold * bitsExpectation (fun _ : Fin n => t) univ (fun T => (listedLambda M hE {d with T := T} w h : ℝ)) + t * ((2^100) * (groupMask M d w d.C h).ncard + ∑ j ∈ range ((groups M d w).length-(h+1)), ((2^100) * (groupMask M d w d.C (h+1+j)).ncard + (groupMask M d w d.D (h+1+j)).ncard) : ℕ) := by have hc := expected_nominal_to_final M hE (2^100) (by positivity) (groupMask M d w d.D) (groupMask M d w d.C) (pathGroups M d w) (pathGroups_disjoint M d w) h ((groups M d w).length-(h+1)) ((d.H ∪ d.D ∪ d.C : Finset (Fin n)) : Set (Fin n)) (boolParity d.odd) t ht0 ht1 have hlen : h+1+((groups M d w).length-(h+1)) = (groups M d w).length := by omega rw [hlen] at hc simp only [listedZ_update_T, listedLambda_update_T] convert hc using 1 <;> norm_num [densityThreshold] end MatroidProphet.MainAlgorithm end OAI