Download lean/OAI/Combinatorics/EditApproximation/Probability/Amplification.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 3 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/EditApproximation/Probability/Amplification.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/EditApproximation/Probability/Amplification.lean
-
curl -L -o Amplification.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/EditApproximation/Probability/Amplification.lean
3 kB
| import Mathlib | |
| namespace OAI | |
| /-! | |
| # Independent-copy amplification for the seed passes | |
| The tail estimate is the direct finite-subset argument from Section 8. | |
| Independence is used only between copies at a fixed state. The subsequent | |
| union bound over states makes no independence assumption between states. | |
| -/ | |
| namespace EditApproximation | |
| open Finset MeasureTheory ProbabilityTheory | |
| open scoped Classical | |
| theorem independent_failure_subset_bound {Ω ι : Type*} [MeasurableSpace Ω] | |
| (μ : Measure Ω) [IsProbabilityMeasure μ] (bad : ι → Set Ω) | |
| (hindep : iIndepSet bad μ) (copies : Finset ι) (q : ℝ) | |
| (hbad : ∀ i ∈ copies, μ.real (bad i) ≤ q) : | |
| μ.real (⋂ i ∈ copies, bad i) ≤ q ^ copies.card := by | |
| rw [measureReal_def, hindep.meas_biInter, ENNReal.toReal_prod] | |
| have hprod := Finset.prod_le_prod₀ (fun i _ => measureReal_nonneg) hbad | |
| simpa only [prod_const, measureReal_def] using hprod | |
| theorem independent_failure_count_bound {Ω ι : Type*} [MeasurableSpace Ω] | |
| [Fintype ι] [DecidableEq ι] | |
| (μ : Measure Ω) [IsProbabilityMeasure μ] (bad : ι → Set Ω) | |
| (hindep : iIndepSet bad μ) (k : ℕ) (q : ℝ) | |
| (hbad : ∀ i, μ.real (bad i) ≤ q) : | |
| μ.real {ω | k ≤ (univ.filter fun i => ω ∈ bad i).card} ≤ | |
| (Fintype.card ι).choose k * q ^ k := by | |
| classical | |
| let subsets := (univ : Finset ι).powersetCard k | |
| have hcover : {ω | k ≤ (univ.filter fun i => ω ∈ bad i).card} ⊆ | |
| ⋃ s ∈ subsets, ⋂ i ∈ s, bad i := by | |
| intro ω hω | |
| obtain ⟨s, hsub, hcard⟩ := exists_subset_card_eq hω | |
| have hs : s ∈ subsets := mem_powersetCard.mpr | |
| ⟨fun i hi => mem_univ i, hcard⟩ | |
| apply Set.mem_iUnion.mpr | |
| refine ⟨s, Set.mem_iUnion.mpr ⟨hs, ?_⟩⟩ | |
| exact Set.mem_iInter.mpr fun i => Set.mem_iInter.mpr fun hi => (mem_filter.mp (hsub hi)).2 | |
| apply (measureReal_mono (μ := μ) hcover (measure_ne_top μ _)).trans | |
| apply (measureReal_biUnion_finset_le subsets _).trans | |
| have hbound (s : Finset ι) (hs : s ∈ subsets) : | |
| μ.real (⋂ i ∈ s, bad i) ≤ q ^ k := by | |
| have hcard := (mem_powersetCard.mp hs).2 | |
| simpa only [hcard] using independent_failure_subset_bound μ bad hindep s q (fun i _ => hbad i) | |
| have hsum := sum_le_sum hbound | |
| simpa only [sum_const, nsmul_eq_mul, subsets, card_powersetCard, card_univ] using hsum | |
| theorem independent_failure_count_binary_bound {Ω ι : Type*} [MeasurableSpace Ω] | |
| [Fintype ι] [DecidableEq ι] | |
| (μ : Measure Ω) [IsProbabilityMeasure μ] (bad : ι → Set Ω) | |
| (hindep : iIndepSet bad μ) (k : ℕ) (q : ℝ) (hq : 0 ≤ q) | |
| (hbad : ∀ i, μ.real (bad i) ≤ q) : | |
| μ.real {ω | k ≤ (univ.filter fun i => ω ∈ bad i).card} ≤ | |
| (2 : ℝ) ^ Fintype.card ι * q ^ k := by | |
| apply (independent_failure_count_bound μ bad hindep k q hbad).trans | |
| apply mul_le_mul_of_nonneg_right _ (pow_nonneg hq k) | |
| exact_mod_cast Nat.choose_le_two_pow (Fintype.card ι) k | |
| end EditApproximation | |
| end OAI | |