openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Circuits /CircuitGateSwitching.lean
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Add lean source and binary files (part 117)
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import OAI.NumberTheory.TwoPoint.Circuits.CircuitDecisionRestriction
import OAI.NumberTheory.TwoPoint.Circuits.CircuitSwitchingLemma
namespace OAI
/-! Switching a gate whose inputs already have shallow decision trees.
The number of clauses is irrelevant to the switching estimate. -/
namespace TwoPointCorrelations
open Finset
open scoped Classical
noncomputable def decisionTreeDisjunction {n k : ℕ} (T : Fin k → BooleanDecisionTree n) :
List (CubeTerm n) :=
(univ : Finset (Fin k)).toList.flatMap (fun i => (T i).toDNF)
theorem decisionTreeDisjunction_eval {n k : ℕ} (T : Fin k → BooleanDecisionTree n)
(x : BooleanCube n) :
dnfEval (decisionTreeDisjunction T) x = decide (∃ i, (T i).eval x = true) := by
apply Bool.eq_iff_iff.mpr
simp only [dnfEval_eq_true, decisionTreeDisjunction, List.mem_flatMap,
Finset.mem_toList, mem_univ, true_and, decide_eq_true_eq]
constructor
· rintro ⟨C, ⟨i, hC⟩, he⟩
exact ⟨i, (T i).toDNF_eval x ▸ (dnfEval_eq_true _ _).mpr ⟨C, hC, he⟩⟩
· rintro ⟨i, hi⟩
have hh : dnfEval (T i).toDNF x = true := by rwa [(T i).toDNF_eval]
obtain ⟨C, hC, he⟩ := (dnfEval_eq_true _ _).mp hh
exact ⟨C, ⟨i, hC⟩, he⟩
theorem decisionTreeDisjunction_width {n k r : ℕ} (T : Fin k → BooleanDecisionTree n)
(hT : ∀ i, (T i).depth ≤ r) :
∀ C ∈ decisionTreeDisjunction T, C.support.card ≤ r := by
intro C hC
obtain ⟨i, _, hi⟩ := List.mem_flatMap.mp hC
exact ((T i).toDNF_width C hi).trans (hT i)
theorem disjunction_restriction_switching {n k r : ℕ} (f : Fin k → BooleanCube n → Bool)
(hf : ∀ i, HasSmallDecisionTree (f i) r)
(p : ℝ) (hp : 0 ≤ p) (hp1 : p < 1)
(hq : ((3 * (2 * r + 3) ^ 2 : ℕ) : ℝ) * (2 * p / (1 - p)) ≤ 1 / 2) :
(restrictionLaw n p hp hp1.le).probability (fun ρ =>
¬ HasSmallDecisionTree (fun x => decide (∃ i, f i (ρ.apply x) = true)) r) ≤
2 * (((3 * (2 * r + 3) ^ 2 : ℕ) : ℝ) * (2 * p / (1 - p))) ^ (r + 1) := by
choose T hT he using hf
have hF := decisionTreeDisjunction_width T hT
have hh := dnf_restriction_has_shallow_tree (decisionTreeDisjunction T) hF p hp hp1 hq r
apply (FiniteLaw.probability_mono _ ?_).trans hh
intro ρ hρ hgood
apply hρ
obtain ⟨S, hS, hs⟩ := hgood
refine ⟨S, hS, ?_⟩
intro x
rw [hs, decisionTreeDisjunction_eval]
simp only [he]
theorem conjunction_restriction_switching {n k r : ℕ} (f : Fin k → BooleanCube n → Bool)
(hf : ∀ i, HasSmallDecisionTree (f i) r)
(p : ℝ) (hp : 0 ≤ p) (hp1 : p < 1)
(hq : ((3 * (2 * r + 3) ^ 2 : ℕ) : ℝ) * (2 * p / (1 - p)) ≤ 1 / 2) :
(restrictionLaw n p hp hp1.le).probability (fun ρ =>
¬ HasSmallDecisionTree (fun x => decide (∀ i, f i (ρ.apply x) = true)) r) ≤
2 * (((3 * (2 * r + 3) ^ 2 : ℕ) : ℝ) * (2 * p / (1 - p))) ^ (r + 1) := by
have hh := disjunction_restriction_switching (fun i x => Bool.not (f i x))
(fun i => (hf i).negate) p hp hp1 hq
apply (FiniteLaw.probability_mono _ ?_).trans hh
intro ρ hρ hgood
apply hρ
have heq : (fun x => Bool.not (decide (∃ i, Bool.not (f i (ρ.apply x)) = true))) =
(fun x => decide (∀ i, f i (ρ.apply x) = true)) := by
funext x
by_cases hall : ∀ i, f i (ρ.apply x) = true
· simp [hall]
· obtain ⟨i, hi⟩ := not_forall.mp hall
have hn : ∃ i, Bool.not (f i (ρ.apply x)) = true := by
refine ⟨i, ?_⟩
cases h : f i (ρ.apply x) <;> simp_all
simp only [hn, decide_true, Bool.not_true, hall, decide_false]
have hneg := hgood.negate
exact Eq.mp (congrArg (fun f => HasSmallDecisionTree f r) heq) hneg
end TwoPointCorrelations
end OAI