Download lean/OAI/NumberTheory/TwoPoint/Circuits/CircuitIsolation.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.13 kB
| import OAI.NumberTheory.TwoPoint.Circuits.CircuitDyadicSampling | |
| import OAI.NumberTheory.TwoPoint.Circuits.CircuitProbabilisticMethod | |
| import OAI.NumberTheory.TwoPoint.Bounds.IndependentSampling | |
| namespace OAI | |
| /-! Independent repetition amplifies the single-hit experiment. These finite | |
| identities are the random-subset step of the circuit polynomial construction. -/ | |
| namespace TwoPointCorrelations | |
| open Finset | |
| open scoped Classical | |
| def isolatesOne {n : ℕ} (S : Finset (Fin n)) (x : BooleanCube n) : Prop := | |
| ∃ i ∈ S, ∀ j ∈ S, x j = singleBitPattern i j | |
| lemma singleHitScore_eq_indicator {n : ℕ} (S : Finset (Fin n)) (x : BooleanCube n) : | |
| singleHitScore S x = if isolatesOne S x then 1 else 0 := by | |
| by_cases hx : isolatesOne S x | |
| · rw [ite_eq_left hx] | |
| obtain ⟨i, hi, hxi⟩ := hx | |
| unfold singleHitScore | |
| rw [sum_eq_single i] | |
| · exact ite_eq_left hxi | |
| · intro j hj hji | |
| unfold cubePattern | |
| apply ite_eq_right | |
| intro hxj | |
| have hh := (hxi i hi).symm.trans (hxj i hi) | |
| simp [singleBitPattern, Ne.symm hji] at hh | |
| · exact fun h => (h hi).elim | |
| · rw [ite_eq_right hx] | |
| unfold singleHitScore | |
| apply sum_eq_zero | |
| intro i hi | |
| unfold cubePattern | |
| exact ite_eq_right (fun h => hx ⟨i, hi, h⟩) | |
| theorem bernoulliCubeLaw_isolatesOne (n : ℕ) (p : ℝ) (hp : 0 ≤ p) (hp1 : p ≤ 1) | |
| (S : Finset (Fin n)) : | |
| (bernoulliCubeLaw n p hp hp1).probability (isolatesOne S) = | |
| (S.card : ℝ) * p * (1 - p) ^ (S.card - 1) := by | |
| unfold FiniteLaw.probability | |
| have heq : (fun x => if isolatesOne S x then (1 : ℝ) else 0) = singleHitScore S := | |
| funext (fun x => (singleHitScore_eq_indicator S x).symm) | |
| rw [heq] | |
| exact bernoulliCubeLaw_singleHitScore n p hp hp1 S | |
| lemma FiniteLaw.probability_complement {α : Type*} [Fintype α] | |
| (μ : FiniteLaw α) (E : α → Prop) : | |
| μ.probability (fun x => ¬E x) = 1 - μ.probability E := by | |
| unfold FiniteLaw.probability FiniteLaw.average | |
| calc | |
| _ = ∑ x, (μ.weight x - μ.weight x * (if E x then (1 : ℝ) else 0)) := by | |
| apply sum_congr rfl | |
| intro x _ | |
| by_cases hx : E x <;> simp [hx] | |
| _ = _ := by rw [sum_sub_distrib, μ.total] | |
| theorem FiniteLaw.independent_failure {α : Type*} [Fintype α] | |
| (μ : FiniteLaw α) (E : α → Prop) (s : ℕ) : | |
| (FiniteLaw.independent (fun _ : Fin s => μ)).probability | |
| (fun x => ∀ i, ¬E (x i)) = (1 - μ.probability E) ^ s := by | |
| calc | |
| _ = ∏ _i : Fin s, μ.probability (fun x => ¬E x) := | |
| FiniteLaw.independent_probability_all (fun _ : Fin s => μ) (fun _ x => ¬E x) | |
| _ = _ := by | |
| simp only [μ.probability_complement, prod_const, card_univ, Fintype.card_fin] | |
| theorem FiniteLaw.independent_failure_le {α : Type*} [Fintype α] | |
| (μ : FiniteLaw α) (E : α → Prop) (s : ℕ) | |
| (hE : (1 / 8 : ℝ) ≤ μ.probability E) : | |
| (FiniteLaw.independent (fun _ : Fin s => μ)).probability | |
| (fun x => ∀ i, ¬E (x i)) ≤ (7 / 8 : ℝ) ^ s := by | |
| rw [μ.independent_failure] | |
| apply pow_le_pow_left₀ | |
| · linarith [μ.probability_le_one E] | |
| · linarith | |
| end TwoPointCorrelations | |
| end OAI | |