Download lean/OAI/Probability/MatroidProphet/Reverse/Squared.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 4.46 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/MatroidProphet/Reverse/Squared.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/MatroidProphet/Reverse/Squared.lean
-
curl -L -o Squared.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/MatroidProphet/Reverse/Squared.lean
4.46 kB
| import OAI.Probability.MatroidProphet.Reverse.LowHazard | |
| namespace OAI | |
| namespace MatroidProphet | |
| open Finset | |
| variable {α : Type*} [Fintype α] [DecidableEq α] | |
| attribute [local instance] Classical.propDecidable | |
| noncomputable def exitHazardCost (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (q : α → ℝ) (d : α) (h : ℕ) | |
| (k : ℤ) (S _ : ℕ → Set α) : ℝ := | |
| if d ∈ S h then reverseHazard M hE κ D G q d h k S else 0 | |
| noncomputable def squareHazardCost (M : Matroid α) (hE : M.E = Set.univ) | |
| (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (q : α → ℝ) (d : α) (h : ℕ) | |
| (k : ℤ) (S _ : ℕ → Set α) : ℝ := | |
| if d ∈ S h then (reverseHazard M hE κ D G q d h k S)^2 else 0 | |
| lemma exitHazardCost_mean_eq_exit (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) | |
| (d : α) (h : ℕ) (hh : h ≤ n) (m : ℕ) (k : ℤ) (S : ℕ → Set α) | |
| (closed : ReverseClosed M hE κ D k S) : | |
| reverseMeanCost M hE κ D G n q (exitHazardCost M hE κ D G q d h) m k S = | |
| reverseMeanCost M hE κ D G n q (exitCost d h) m k S := by | |
| apply reverseMeanCost_eq_of_step M hE κ D G n hG q hq0 hq1 | |
| · intro l R hR | |
| by_cases hd : d ∈ R h | |
| · simp only [exitHazardCost, hd, ite_true, bitsExpectation_const, exitCost, true_and] | |
| exact reverseHazard_eq_step M hE κ D G n hG q d h hh l R | |
| · simp only [exitHazardCost, hd, ite_false, bitsExpectation_const, exitCost, false_and] | |
| · exact closed | |
| theorem reverse_squared_exit_mass (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) | |
| (d : α) (hd : d ∉ M.closure ∅) (h : ℕ) (hh : h ≤ n) : | |
| (((2:ℝ)^12)⁻¹) / 2 ≤ | |
| reverseMeanCost M hE κ D G n q (squareHazardCost M hE κ D G q d h) | |
| (pathHorizon h+1) (-1) (fun _ => Set.univ) := by | |
| let η : ℝ := ((2:ℝ)^12)⁻¹ | |
| have hη : 0 ≤ η := by dsimp only [η]; positivity | |
| have hpoint (k : ℤ) (S S' : ℕ → Set α) : | |
| η * exitHazardCost M hE κ D G q d h k S S' ≤ | |
| squareHazardCost M hE κ D G q d h k S S' + η * lowHazardCost M hE κ D G q d h η k S S' := by | |
| by_cases hs : d ∈ S h | |
| · by_cases hp : reverseHazard M hE κ D G q d h k S < η | |
| · simp only [exitHazardCost, squareHazardCost, lowHazardCost, hs, hp, true_and, ite_true] | |
| nlinarith [sq_nonneg (reverseHazard M hE κ D G q d h k S)] | |
| · have hp' : η ≤ reverseHazard M hE κ D G q d h k S := le_of_not_gt hp | |
| have hp0 := reverseHazard_nonneg M hE κ D G q hq0 hq1 d h k S | |
| simp only [exitHazardCost, squareHazardCost, lowHazardCost, hs, hp, true_and, ite_true, ite_false, mul_zero, add_zero] | |
| nlinarith | |
| · simp [exitHazardCost, squareHazardCost, lowHazardCost, hs] | |
| have hmean : | |
| η * reverseMeanCost M hE κ D G n q (exitHazardCost M hE κ D G q d h) (pathHorizon h+1) (-1) (fun _ => Set.univ) ≤ | |
| reverseMeanCost M hE κ D G n q (squareHazardCost M hE κ D G q d h) (pathHorizon h+1) (-1) (fun _ => Set.univ) + | |
| η * reverseMeanCost M hE κ D G n q (lowHazardCost M hE κ D G q d h η) (pathHorizon h+1) (-1) (fun _ => Set.univ) := by | |
| rw [← reverseMeanCost_mul, ← reverseMeanCost_mul, ← reverseMeanCost_add] | |
| unfold reverseMeanCost | |
| apply bitsExpectation_mono q hq0 hq1 | |
| intro C hC | |
| exact reverseCost_mono M hE κ D G n _ _ hpoint _ _ _ C | |
| rw [exitHazardCost_mean_eq_exit M hE κ D G n hG q hq0 hq1 d h hh _ _ _ | |
| (reverseClosed_univ M hE κ D (-1)), reverse_exit_total_one M hE κ D G n hG q d hd h hh, | |
| mul_one] at hmean | |
| have hlow := reverse_low_hazard_lt_half M hE κ D G n hG q hq0 hq1 d h hh | |
| (pathHorizon h+1) (-1) (fun _ => Set.univ) (reverseClosed_univ M hE κ D (-1)) | |
| change η / 2 ≤ reverseMeanCost M hE κ D G n q _ _ _ _ | |
| change reverseMeanCost M hE κ D G n q (lowHazardCost M hE κ D G q d h η) _ _ _ < _ at hlow | |
| have hmul := mul_le_mul_of_nonneg_left hlow.le hη | |
| have hsub := (sub_le_iff_le_add).mpr (hmean.trans (add_le_add le_rfl hmul)) | |
| calc | |
| η / 2 = η - η * (1 / 2) := by ring | |
| _ ≤ _ := hsub | |
| end MatroidProphet | |
| end OAI | |