import OAI.Probability.MatroidProphet.RankCost import OAI.Probability.MatroidProphet.Residual.Statistics import OAI.Probability.MatroidProphet.ConditionalThinning namespace OAI namespace MatroidProphet open Set Finset Pivots variable {α : Type*} [Fintype α] [DecidableEq α] omit [DecidableEq α] in lemma lowerCompetition_congr_test_before (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C T T' : ℕ → Set α) (b : ℤ) (h : ℕ) (hT : ∀ j < h, T j = T' j) : lowerCompetition M hE κ D C T b h = lowerCompetition M hE κ D C T' b h := by induction h with | zero => rfl | succ h ih => simp only [lowerCompetition] rw [ih (fun j hj => hT j (by omega)), hT h (by omega)] lemma lowerCompetition_ignore_focal (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C : ℕ → Set α) (G : ℕ → Finset α) (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (b : ℤ) (h : ℕ) (A B : Finset α) (hB : B ⊆ G h) : lowerCompetition M hE κ D C (fun j => ((A ∪ B : Finset α) : Set α) ∩ (G j : Set α)) b h = lowerCompetition M hE κ D C (fun j => (A : Set α) ∩ (G j : Set α)) b h := by apply lowerCompetition_congr_test_before intro j hj ext e have hd := Finset.disjoint_left.mp (hG (show h ≠ j by omega)) simp only [Finset.coe_union, Set.mem_inter_iff, Set.mem_union, Finset.mem_coe] constructor · rintro ⟨ha | hb, hg⟩ · exact ⟨ha, hg⟩ · exact False.elim (hd (hB hb) hg) · rintro ⟨ha, hg⟩ exact ⟨Or.inl ha, hg⟩ noncomputable def testRankStatistic (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C T : ℕ → Set α) (h : ℕ) (U O test : Set α) (ε : Fin 2) : ℕ := ∑ b : ParityWindow (activation h) ε, conditionalRank M ((nominalLayerSet M hE κ D C h U ε b \ O) ∩ test) (nominalPath M hE κ D C h (b.val.val - 2) ∪ lowerCompetition M hE κ D C T b.val.val h) noncomputable def finalRankStatistic (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C T : ℕ → Set α) (h final : ℕ) (U O test : Set α) (ε : Fin 2) : ℕ := ∑ b : ParityWindow (activation h) ε, conditionalRank M ((nominalLayerSet M hE κ D C h U ε b \ O) ∩ test) (guardedPath M hE κ D C final (b.val.val - 2) ∪ lowerCompetition M hE κ D C T b.val.val h) theorem thinning_nominalRankStatistic (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C : ℕ → Set α) (G : ℕ → Finset α) (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (h : ℕ) (O : Set α) (ε : Fin 2) (t : ℝ) (ht0 : 0 ≤ t) (ht1 : t ≤ 1) : t * bitsExpectation (fun _ : α => t) univ (fun T => (nominalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (G h) O ε : ℝ)) ≤ bitsExpectation (fun _ : α => t) univ (fun T => (testRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (G h) O (T : Set α) ε : ℝ)) := by simp only [nominalRankStatistic, testRankStatistic, Nat.cast_sum, bitsExpectation_sum, mul_sum] apply Finset.sum_le_sum intro b hb apply conditionally_independent_thinning_rank M hE t ht0 ht1 univ (G h) (subset_univ _) · exact fun e he => (nominalLayerSet_subset M hE κ D C h (G h) ε b he.1) · intro A B hB rw [lowerCompetition_ignore_focal M hE κ D C G hG b.val.val h A B hB] omit [DecidableEq α] in lemma unobservedBirthRegion_eq_nominalLayer (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C : ℕ → Set α) (h : ℕ) (U O : Set α) (ε : Fin 2) (b : ParityWindow (activation h) ε) : unobservedBirthRegion M hE κ D C U O h b.val.val = nominalLayerSet M hE κ D C h U ε b \ O := by classical ext e unfold unobservedBirthRegion nominalLayerSet by_cases ha : activation h+2 ≤ b.val.val · rw [ite_eq_left ha] constructor · rintro ⟨⟨hu, hx, hn⟩, ho⟩ have hb : b.val.val ≤ 0 := by by_contra hb have heq := nominalPath_nonnegative M hE κ D C h (show 0 ≤ b.val.val-1 by omega) rw [heq] at hn exact hn (Set.mem_univ e) exact ⟨⟨hu, ha, hb, hx, hn⟩, ho⟩ · rintro ⟨⟨hu, _, _, hx, hn⟩, ho⟩ exact ⟨⟨hu, hx, hn⟩, ho⟩ · rw [ite_eq_right ha] simp only [Set.mem_empty_iff_false, Set.mem_sdiff, Set.mem_ofPred_eq, false_iff, not_and] intro he exact (ha he.2.1).elim theorem testRankStatistic_le_final_cost {α : Type u_1} [Fintype α] [DecidableEq α] (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (hκ : 0 < κ) (D C T : ℕ → Set α) (h later : ℕ) (U O test : Set α) (ε : Fin 2) : κ * testRankStatistic M hE κ D C T h U O test ε ≤ κ * finalRankStatistic M hE κ D C T h (h+1+later) U O test ε + κ * (C h).ncard + ∑ j ∈ range later, (κ * (C (h+1+j)).ncard + (D (h+1+j)).ncard) := by let S : ℤ → Set α := fun b => unobservedBirthRegion M hE κ D C U O h b ∩ test have hc := actual_path_rank_cost_finset M hE κ hκ D C T h later (parityPoints (activation h) ε) (activation h-4) 1 (by dsimp [activation]; omega) (by intro b hb; have := (mem_parityPoints _ _ _).mp hb; omega) (by intro b hb; exact ((mem_parityPoints _ _ _).mp hb).2.1) (by intro b hb c hc hbc have hbm := ((mem_parityPoints _ _ _).mp hb).2.2 have hcm := ((mem_parityPoints _ _ _).mp hc).2.2 omega) S (fun b e he => unobservedBirthRegion_subset M hE κ D C U O h b he.1) rw [sum_parityPoints, sum_parityPoints] at hc have hS (b : ParityWindow (activation h) ε) : S b.val.val = (nominalLayerSet M hE κ D C h U ε b \ O) ∩ test := by dsimp [S] rw [unobservedBirthRegion_eq_nominalLayer M hE κ D C h U O ε b] simp_rw [hS] at hc exact hc theorem thinning_finalRankStatistic (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D C : ℕ → Set α) (G : ℕ → Finset α) (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (h final : ℕ) (O : Set α) (ε : Fin 2) (t : ℝ) (ht0 : 0 ≤ t) (ht1 : t ≤ 1) : t * bitsExpectation (fun _ : α => t) univ (fun T => (finalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h final (G h) O Set.univ ε : ℝ)) ≤ bitsExpectation (fun _ : α => t) univ (fun T => (finalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h final (G h) O (T : Set α) ε : ℝ)) := by simp only [finalRankStatistic, Set.inter_univ, Nat.cast_sum, bitsExpectation_sum, mul_sum] apply Finset.sum_le_sum intro b hb apply conditionally_independent_thinning_rank M hE t ht0 ht1 univ (G h) (subset_univ _) · exact fun e he => (nominalLayerSet_subset M hE κ D C h (G h) ε b he.1) · intro A B hB rw [lowerCompetition_ignore_focal M hE κ D C G hG b.val.val h A B hB] theorem expected_nominal_to_final (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (hκ : 0 < κ) (D C : ℕ → Set α) (G : ℕ → Finset α) (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (h later : ℕ) (O : Set α) (ε : Fin 2) (t : ℝ) (ht0 : 0 ≤ t) (ht1 : t ≤ 1) : (κ:ℝ) * t * bitsExpectation (fun _ : α => t) univ (fun T => (nominalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (G h) O ε : ℝ)) ≤ (κ:ℝ) * bitsExpectation (fun _ : α => t) univ (fun T => (finalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (h+1+later) (G h) O (T : Set α) ε : ℝ)) + t * (κ * (C h).ncard + ∑ j ∈ range later, (κ * (C (h+1+j)).ncard + (D (h+1+j)).ncard) : ℕ) := by have ht := thinning_finalRankStatistic M hE κ D C G hG h (h+1+later) O ε t ht0 ht1 have hp (T : Finset α) : (κ:ℝ) * (nominalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (G h) O ε : ℝ) ≤ (κ:ℝ) * (finalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (h+1+later) (G h) O Set.univ ε : ℝ) + (κ * (C h).ncard + ∑ j ∈ range later, (κ * (C (h+1+j)).ncard + (D (h+1+j)).ncard) : ℕ) := by have hn := testRankStatistic_le_final_cost M hE κ hκ D C (fun j => (T : Set α) ∩ (G j : Set α)) h later (G h) O Set.univ ε have htest : testRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (G h) O Set.univ ε = nominalRankStatistic M hE κ D C (fun j => (T : Set α) ∩ (G j : Set α)) h (G h) O ε := by simp only [testRankStatistic, nominalRankStatistic, Set.inter_univ] rw [htest, Nat.add_assoc] at hn exact_mod_cast hn have hm := bitsExpectation_mono (fun _ : α => t) (fun _ => ht0) (fun _ => ht1) univ (fun T _ => hp T) simp only [bitsExpectation_add, bitsExpectation_mul_left, bitsExpectation_const] at hm have hs := mul_le_mul_of_nonneg_left ht (Nat.cast_nonneg κ : (0:ℝ) ≤ κ) have hc := mul_le_mul_of_nonneg_left hm ht0 nlinarith end MatroidProphet end OAI