Download lean/OAI/Probability/MatroidProphet/Reverse/Cost.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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12.1 kB
| import OAI.Probability.MatroidProphet.Reverse.Certificates | |
| import OAI.Probability.MatroidProphet.RevealContinuation | |
| import OAI.Probability.MatroidProphet.ProductRestriction | |
| namespace OAI | |
| namespace MatroidProphet | |
| open Finset | |
| variable {α : Type*} [Fintype α] [DecidableEq α] | |
| attribute [local instance] Classical.propDecidable | |
| noncomputable def reverseCost (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (cost : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) : | |
| ℕ → ℤ → (ℕ → Set α) → Finset α → ℝ | |
| | 0, _, _, _ => 0 | |
| | m+1, k, S, C => cost k S ((reverseStepTree M hE κ k D S G n).run C) + | |
| reverseCost M hE κ D G n cost m (k-1) | |
| ((reverseStepTree M hE κ k D S G n).run C) C | |
| lemma reverseCost_congr (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (hG : Pairwise (fun i j => Disjoint (G i) (G j))) | |
| (cost : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (closed : ReverseClosed M hE κ D k S) | |
| (C C' : Finset α) | |
| (agree : ∀ j < n, ∀ e ∈ G j, e ∈ S j → (e ∈ C ↔ e ∈ C')) : | |
| reverseCost M hE κ D G n cost m k S C = reverseCost M hE κ D G n cost m k S C' := by | |
| induction m generalizing k S with | |
| | zero => rfl | |
| | succ m ih => | |
| let V := (range n).biUnion (fun j => (G j).filter (fun e => e ∈ S j)) | |
| have hV : ∀ j < n, (G j).filter (fun e => e ∈ S j) ⊆ V := by | |
| intro j hj e he | |
| exact mem_biUnion.mpr ⟨j, mem_range.mpr hj, he⟩ | |
| have ha : ∀ e ∈ V, (e ∈ C ↔ e ∈ C') := by | |
| intro e he | |
| obtain ⟨j, hj, hje⟩ := mem_biUnion.mp he | |
| exact agree j (mem_range.mp hj) e (mem_filter.mp hje).1 (mem_filter.mp hje).2 | |
| have hs := (reverseStepTree M hE κ k D S G n).run_congr V C C' | |
| (reverseStepTree_fresh M hE κ k D S G n hG V hV) ha | |
| simp only [reverseCost, hs] | |
| congr 1 | |
| apply ih (k-1) _ (reverseStepTree_closed M hE κ k D S G n C') | |
| intro j hj e heG heS | |
| exact agree j hj e heG (reverseStepTree_contracts M hE κ k D S G n closed C' j heS) | |
| lemma reverseCost_add (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (f g : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (C : Finset α) : | |
| reverseCost M hE κ D G n (fun k S S' => f k S S' + g k S S') m k S C = | |
| reverseCost M hE κ D G n f m k S C + reverseCost M hE κ D G n g m k S C := by | |
| induction m generalizing k S with | |
| | zero => simp [reverseCost] | |
| | succ m ih => simp only [reverseCost, ih]; ring | |
| lemma reverseCost_mul (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (f : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) (a : ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (C : Finset α) : | |
| reverseCost M hE κ D G n (fun k S S' => a * f k S S') m k S C = | |
| a * reverseCost M hE κ D G n f m k S C := by | |
| induction m generalizing k S with | |
| | zero => simp [reverseCost] | |
| | succ m ih => simp only [reverseCost, ih]; ring | |
| lemma reverseCost_mono (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (f g : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (hfg : ∀ k S S', f k S S' ≤ g k S S') | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (C : Finset α) : | |
| reverseCost M hE κ D G n f m k S C ≤ reverseCost M hE κ D G n g m k S C := by | |
| induction m generalizing k S with | |
| | zero => exact le_rfl | |
| | succ m ih => exact add_le_add (hfg _ _ _) (ih _ _) | |
| noncomputable def reverseMeanCost (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) (q : α → ℝ) | |
| (cost : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) : ℝ := | |
| bitsExpectation q univ (reverseCost M hE κ D G n cost m k S) | |
| lemma reverseCost_erase_step (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (hG : Pairwise (fun i j => Disjoint (G i) (G j))) | |
| (cost : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (closed : ReverseClosed M hE κ D k S) (C : Finset α) : | |
| reverseCost M hE κ D G n cost m (k-1) ((reverseStepTree M hE κ k D S G n).run C) C = | |
| reverseCost M hE κ D G n cost m (k-1) ((reverseStepTree M hE κ k D S G n).run C) | |
| (C \ (reverseStepTree M hE κ k D S G n).queried C) := by | |
| apply reverseCost_congr M hE κ D G n hG cost m (k-1) _ | |
| (reverseStepTree_closed M hE κ k D S G n C) | |
| intro j hj e heG heS | |
| have he := reverseStepTree_remaining M hE κ k D S G n hG univ | |
| (fun _ _ => subset_univ _) closed C j hj (mem_filter.mpr ⟨heG, heS⟩) | |
| simp only [mem_sdiff, (mem_sdiff.mp he).2, not_false_eq_true, and_true] | |
| theorem reverseMeanCost_succ (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (q : α → ℝ) | |
| (cost : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (closed : ReverseClosed M hE κ D k S) : | |
| reverseMeanCost M hE κ D G n q cost (m+1) k S = | |
| bitsExpectation q univ (fun C => cost k S ((reverseStepTree M hE κ k D S G n).run C) + | |
| reverseMeanCost M hE κ D G n q cost m (k-1) ((reverseStepTree M hE κ k D S G n).run C)) := by | |
| let tree := reverseStepTree M hE κ k D S G n | |
| let f := fun (S' : ℕ → Set α) (C : Finset α) => reverseCost M hE κ D G n cost m (k-1) S' C | |
| have hfresh : tree.Fresh univ := reverseStepTree_fresh M hE κ k D S G n hG univ | |
| (fun _ _ => subset_univ _) | |
| have herase : bitsExpectation q univ (fun C => f (tree.run C) C) = | |
| bitsExpectation q univ (fun C => f (tree.run C) (C \ tree.queried C)) := by | |
| apply bitsExpectation_congr | |
| intro C hC | |
| exact reverseCost_erase_step M hE κ D G n hG cost m k S closed C | |
| have hrestrict : bitsExpectation q univ (fun C => bitsExpectation q (univ \ tree.queried C) | |
| (f (tree.run C))) = bitsExpectation q univ (fun C => bitsExpectation q univ (f (tree.run C))) := by | |
| apply bitsExpectation_congr | |
| intro C hC | |
| symm | |
| apply bitsExpectation_restrict q univ _ (subset_univ _) (f (tree.run C)) | |
| intro T T' hT | |
| apply reverseCost_congr M hE κ D G n hG cost m (k-1) _ | |
| (reverseStepTree_closed M hE κ k D S G n C) | |
| intro j hj e heG heS | |
| exact hT e (reverseStepTree_remaining M hE κ k D S G n hG univ | |
| (fun _ _ => subset_univ _) closed C j hj (mem_filter.mpr ⟨heG, heS⟩)) | |
| have htower := tree.continuation_expectation q univ hfresh f | |
| change bitsExpectation q univ (fun C => cost k S (tree.run C) + f (tree.run C) C) = | |
| bitsExpectation q univ (fun C => cost k S (tree.run C) + bitsExpectation q univ (f (tree.run C))) | |
| rw [bitsExpectation_add, bitsExpectation_add, herase, htower, hrestrict] | |
| @[simp] lemma reverseMeanCost_zero (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) (q : α → ℝ) | |
| (cost : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) (k : ℤ) (S : ℕ → Set α) : | |
| reverseMeanCost M hE κ D G n q cost 0 k S = 0 := by | |
| simp only [reverseMeanCost, reverseCost, bitsExpectation_const] | |
| lemma reverseMeanCost_add (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) (q : α → ℝ) | |
| (f g : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) : | |
| reverseMeanCost M hE κ D G n q (fun k S S' => f k S S' + g k S S') m k S = | |
| reverseMeanCost M hE κ D G n q f m k S + reverseMeanCost M hE κ D G n q g m k S := by | |
| unfold reverseMeanCost | |
| rw [← bitsExpectation_add] | |
| exact bitsExpectation_congr q univ (fun C _ => reverseCost_add M hE κ D G n f g m k S C) | |
| lemma reverseMeanCost_mul (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) (q : α → ℝ) | |
| (f : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) (a : ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) : | |
| reverseMeanCost M hE κ D G n q (fun k S S' => a * f k S S') m k S = | |
| a * reverseMeanCost M hE κ D G n q f m k S := by | |
| unfold reverseMeanCost | |
| rw [← bitsExpectation_mul_left] | |
| exact bitsExpectation_congr q univ (fun C _ => reverseCost_mul M hE κ D G n f a m k S C) | |
| theorem reverseMeanCost_le_of_step (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (q : α → ℝ) | |
| (hq0 : ∀ e, 0 ≤ q e) (hq1 : ∀ e, q e ≤ 1) | |
| (f g : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (hfg : ∀ k S, ReverseClosed M hE κ D k S → | |
| bitsExpectation q univ (fun C => f k S ((reverseStepTree M hE κ k D S G n).run C)) ≤ | |
| bitsExpectation q univ (fun C => g k S ((reverseStepTree M hE κ k D S G n).run C))) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (closed : ReverseClosed M hE κ D k S) : | |
| reverseMeanCost M hE κ D G n q f m k S ≤ reverseMeanCost M hE κ D G n q g m k S := by | |
| induction m generalizing k S with | |
| | zero => simp only [reverseMeanCost_zero, le_refl] | |
| | succ m ih => | |
| rw [reverseMeanCost_succ M hE κ D G n hG q f m k S closed, | |
| reverseMeanCost_succ M hE κ D G n hG q g m k S closed, | |
| bitsExpectation_add, bitsExpectation_add] | |
| apply add_le_add (hfg k S closed) | |
| apply bitsExpectation_mono q hq0 hq1 | |
| intro C hC | |
| exact ih (k-1) _ (reverseStepTree_closed M hE κ k D S G n C) | |
| theorem reverseMeanCost_eq_of_step (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (q : α → ℝ) | |
| (hq0 : ∀ e, 0 ≤ q e) (hq1 : ∀ e, q e ≤ 1) | |
| (f g : ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (hfg : ∀ k S, ReverseClosed M hE κ D k S → | |
| bitsExpectation q univ (fun C => f k S ((reverseStepTree M hE κ k D S G n).run C)) = | |
| bitsExpectation q univ (fun C => g k S ((reverseStepTree M hE κ k D S G n).run C))) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (closed : ReverseClosed M hE κ D k S) : | |
| reverseMeanCost M hE κ D G n q f m k S = reverseMeanCost M hE κ D G n q g m k S := | |
| le_antisymm (reverseMeanCost_le_of_step M hE κ D G n hG q hq0 hq1 f g | |
| (fun k S hS => (hfg k S hS).le) m k S closed) | |
| (reverseMeanCost_le_of_step M hE κ D G n hG q hq0 hq1 g f | |
| (fun k S hS => (hfg k S hS).ge) m k S closed) | |
| lemma reverseCost_sum {ι : Type*} (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) | |
| (I : Finset ι) (f : ι → ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) (C : Finset α) : | |
| reverseCost M hE κ D G n (fun k S S' => ∑ i ∈ I, f i k S S') m k S C = | |
| ∑ i ∈ I, reverseCost M hE κ D G n (f i) m k S C := by | |
| induction m generalizing k S with | |
| | zero => simp only [reverseCost, sum_const_zero] | |
| | succ m ih => simp only [reverseCost, ih, sum_add_distrib] | |
| lemma reverseMeanCost_sum {ι : Type*} (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (n : ℕ) (q : α → ℝ) | |
| (I : Finset ι) (f : ι → ℤ → (ℕ → Set α) → (ℕ → Set α) → ℝ) | |
| (m : ℕ) (k : ℤ) (S : ℕ → Set α) : | |
| reverseMeanCost M hE κ D G n q (fun k S S' => ∑ i ∈ I, f i k S S') m k S = | |
| ∑ i ∈ I, reverseMeanCost M hE κ D G n q (f i) m k S := by | |
| unfold reverseMeanCost | |
| rw [← bitsExpectation_sum] | |
| exact bitsExpectation_congr q univ (fun C _ => reverseCost_sum M hE κ D G n I f m k S C) | |
| end MatroidProphet | |
| end OAI | |