openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Bounds /ActiveStateExpansion.lean
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Add lean source and binary files (part 117)
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import OAI.NumberTheory.TwoPoint.Circuits.CircuitEncoding
import OAI.NumberTheory.TwoPoint.Bounds.ScalarComparison
import Mathlib.Data.Nat.Choose.Bounds
namespace OAI
/-! Exact active-prime states give small scalar expansions after the
degree truncation. All absent prime tests remain in each conjunction. -/
namespace TwoPointCorrelations
open Finset
open scoped Classical
def activeState {n : ℕ} (x : BooleanCube n) : Finset (Fin n) :=
univ.filter (fun i => x i = true)
def boundedActiveStates (n M : ℕ) : Finset (Finset (Fin n)) :=
univ.powerset.filter (fun S => S.card ≤ M)
lemma mem_boundedActiveStates {n M : ℕ} {S : Finset (Fin n)} :
S ∈ boundedActiveStates n M ↔ S.card ≤ M := by
simp only [boundedActiveStates, mem_filter, mem_powerset, subset_univ, true_and]
lemma boundedActiveStates_card (n M : ℕ) :
(boundedActiveStates n M).card ≤ (M + 1) * (n + 1) ^ M := by
have he : boundedActiveStates n M =
(range (M + 1)).biUnion (fun r => univ.powersetCard r) := by
ext S
simp only [mem_boundedActiveStates, mem_biUnion, mem_range, mem_powersetCard,
subset_univ, true_and]
constructor
· intro hS
exact ⟨S.card, by omega, rfl⟩
· rintro ⟨r, hr, he⟩
omega
rw [he]
apply (card_biUnion_le).trans
calc
(∑ r ∈ range (M + 1), (univ.powersetCard r : Finset (Finset (Fin n))).card) =
∑ r ∈ range (M + 1), n.choose r := by
simp only [card_powersetCard, card_univ, Fintype.card_fin]
_ ≤ ∑ _r ∈ range (M + 1), (n + 1) ^ M := by
apply sum_le_sum
intro r hr
exact (Nat.choose_le_pow n r).trans
((Nat.pow_le_pow_left (Nat.le_succ n) r).trans
(Nat.pow_le_pow_right (by omega) (by simp only [mem_range] at hr; omega)))
_ = _ := by simp
def activeStateCircuit {n : ℕ} (S : Finset (Fin n)) : AC0Circuit n :=
.andGate (fun i : Fin n => .literal i (decide (i ∈ S)))
lemma activeStateCircuit_eval {n : ℕ} (S : Finset (Fin n)) (x : BooleanCube n) :
(activeStateCircuit S).eval x = true ↔ activeState x = S := by
simp only [activeStateCircuit, AC0Circuit.eval, decide_eq_true_eq]
constructor
· intro h
ext i
have hi := h i
by_cases hs : i ∈ S <;> cases hx : x i <;>
simp_all [activeState]
· intro h i
have hi : x i = true ↔ i ∈ S := by
rw [← h]
simp only [activeState, mem_filter, mem_univ, true_and]
by_cases hs : i ∈ S <;> cases hx : x i <;>
simp_all [activeState]
lemma activeStateCircuit_depth {n : ℕ} (S : Finset (Fin n)) :
(activeStateCircuit S).depth ≤ 1 := by
simp [activeStateCircuit, AC0Circuit.depth]
lemma activeStateCircuit_size {n : ℕ} (S : Finset (Fin n)) :
(activeStateCircuit S).size = 1 + n := by
simp [activeStateCircuit, AC0Circuit.size]
theorem activeState_scalar_expansion {n : ℕ} (M : ℕ)
(f : Finset (Fin n) → ℝ) (x : BooleanCube n) :
(if (activeState x).card ≤ M then f (activeState x) else 0) =
∑ S ∈ boundedActiveStates n M, f S * (activeStateCircuit S).indicator x := by
simp only [AC0Circuit.indicator]
have hval (S : Finset (Fin n)) :
(if (activeStateCircuit S).eval x = true then (1 : ℝ) else 0) =
if activeState x = S then 1 else 0 := by
simp only [activeStateCircuit_eval]
simp only [hval, mul_ite, mul_one, mul_zero]
by_cases hx : (activeState x).card ≤ M
· rw [ite_eq_left hx, sum_eq_single_of_mem (activeState x) (mem_boundedActiveStates.mpr hx)]
· simp
· intro S _ hS
exact ite_eq_right (Ne.symm hS)
· rw [ite_eq_right hx]
symm
apply sum_eq_zero
intro S hS
apply ite_eq_right
intro he
exact hx (he.symm ▸ mem_boundedActiveStates.mp hS)
lemma activeState_coefficient_mass {n M : ℕ} (f : Finset (Fin n) → ℝ) (C : ℝ)
(hf : ∀ S ∈ boundedActiveStates n M, |f S| ≤ C) :
∑ S ∈ boundedActiveStates n M, |f S| ≤ ((M + 1) * (n + 1) ^ M : ℕ) * C := by
by_cases hC : 0 ≤ C
· calc
_ ≤ ∑ _S ∈ boundedActiveStates n M, C := sum_le_sum hf
_ = ((boundedActiveStates n M).card : ℝ) * C := by simp
_ ≤ _ := mul_le_mul_of_nonneg_right (by exact_mod_cast boundedActiveStates_card n M) hC
· have hz : ∅ ∈ boundedActiveStates n M := mem_boundedActiveStates.mpr (by simp)
exact False.elim (hC ((abs_nonneg (f ∅)).trans (hf ∅ hz)))
theorem activeState_average_comparison {n : ℕ} {α β : Type*} [Fintype α] [Fintype β]
(M : ℕ) (f : Finset (Fin n) → ℝ) (x : α → BooleanCube n) (y : β → BooleanCube n)
(C ε : ℝ) (hε : 0 ≤ ε)
(hf : ∀ S ∈ boundedActiveStates n M, |f S| ≤ C)
(hcompare : ∀ S ∈ boundedActiveStates n M,
|uniformAverage (fun a => (activeStateCircuit S).indicator (x a)) -
uniformAverage (fun b => (activeStateCircuit S).indicator (y b))| ≤ ε) :
|uniformAverage (fun a => if (activeState (x a)).card ≤ M then f (activeState (x a)) else 0) -
uniformAverage (fun b => if (activeState (y b)).card ≤ M then f (activeState (y b)) else 0)| ≤
(((M + 1) * (n + 1) ^ M : ℕ) : ℝ) * C * ε := by
let S := boundedActiveStates n M
have hrep (z : BooleanCube n) :
(if (activeState z).card ≤ M then f (activeState z) else 0) =
∑ t : S, f t.val * (activeStateCircuit t.val).indicator z := by
rw [activeState_scalar_expansion]
exact (sum_coe_sort S (fun t => f t * (activeStateCircuit t).indicator z)).symm
simp_rw [hrep]
have hb := scalar_average_comparison_uniform
(fun (t : S) a => (activeStateCircuit t.val).indicator (x a))
(fun (t : S) b => (activeStateCircuit t.val).indicator (y b))
(fun t : S => f t.val) ε (fun t => hcompare t.val t.property)
apply hb.trans
apply mul_le_mul_of_nonneg_right _ hε
change (∑ t : boundedActiveStates n M, |f t.val|) ≤ _
calc
_ = ∑ t ∈ boundedActiveStates n M, |f t| :=
sum_coe_sort (boundedActiveStates n M) (fun t => |f t|)
_ ≤ _ := activeState_coefficient_mass f C hf
end TwoPointCorrelations
end OAI