openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Bounds /ActualPaddingIntegerBounds.lean
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import OAI.NumberTheory.TwoPoint.Bounds.PaddingActiveState
import OAI.NumberTheory.TwoPoint.Bounds.ActiveStateComparison
import OAI.NumberTheory.TwoPoint.Bounds.ResidueLawUniform
namespace OAI
/-! Truncated padding weights on actual integer intervals. The finite
active-state comparison is used only after the degree restriction. -/
namespace TwoPointCorrelations
open Finset Filter
open scoped Classical
lemma uniformAverage_pi_product {ι : Type*} [Fintype ι] [DecidableEq ι]
{β : ι → Type*} [∀ i, Fintype (β i)] (f : (i : ι) → β i → ℝ) :
uniformAverage (fun x : ∀ i, β i => ∏ i, f i (x i)) =
∏ i, uniformAverage (f i) := by
simp only [uniformAverage, Fintype.card_pi, Nat.cast_prod]
rw [← Fintype.prod_sum, prod_div_distrib]
lemma uniformAverage_padding_factor (p : ℕ) [NeZero p] (site : ℤ) :
uniformAverage (fun z : ZMod p => if z + (site : ZMod p) = 0 then (5 : ℝ) else 1) =
1 + 4 / (p : ℝ) := by
have he (z : ZMod p) : z + (site : ZMod p) = 0 ↔ z = -(site : ZMod p) := by
constructor <;> intro h <;> linear_combination h
have hf (z : ZMod p) :
(if z = -(site : ZMod p) then (5 : ℝ) else 1) =
1 + if z = -(site : ZMod p) then (4 : ℝ) else 0 := by
split_ifs <;> norm_num
simp only [he, hf, uniformAverage, sum_add_distrib, sum_const,
card_univ, nsmul_eq_mul, mul_one, sum_ite_eq', mem_univ, ite_true, ZMod.card]
have hp : (p : ℝ) ≠ 0 := by exact_mod_cast NeZero.ne p
field_simp
noncomputable def primeStateTruncatedWeight {m : ℕ} (s : Fin m → ℕ) [∀ i, NeZero (s i)]
(M : ℕ) (site : ℤ) (z : ∀ i, ZMod (s i)) : ℝ :=
let S := activeState (fun i => decide (z i + (site : ZMod (s i)) = 0))
if S.card ≤ M then (5 : ℝ) ^ S.card else 0
lemma activeState_five_pow {m : ℕ} (x : BooleanCube m) :
(5 : ℝ) ^ (activeState x).card = ∏ i, if x i then (5 : ℝ) else 1 := by
rw [← prod_const]
simp only [activeState, prod_filter]
lemma primeStateTruncatedWeight_average_le {m : ℕ} (s : Fin m → ℕ)
[∀ i, NeZero (s i)] (M : ℕ) (site : ℤ) :
uniformAverage (primeStateTruncatedWeight s M site) ≤
∏ i, (1 + 4 / (s i : ℝ)) := by
calc
_ ≤ uniformAverage (fun z : ∀ i, ZMod (s i) =>
(5 : ℝ) ^ (activeState (fun i => decide (z i + (site : ZMod (s i)) = 0))).card) := by
unfold uniformAverage
apply div_le_div_of_nonneg_right _ (Nat.cast_nonneg _)
apply sum_le_sum
intro z _
dsimp only [primeStateTruncatedWeight]
split_ifs
· exact le_rfl
· positivity
_ = uniformAverage (fun z : ∀ i, ZMod (s i) =>
∏ i, if z i + (site : ZMod (s i)) = 0 then (5 : ℝ) else 1) := by
simp only [activeState_five_pow, decide_eq_true_eq]
_ = _ := by
rw [uniformAverage_pi_product
(fun i (z : ZMod (s i)) => if z + (site : ZMod (s i)) = 0 then (5 : ℝ) else 1)]
simp only [uniformAverage_padding_factor]
lemma padding_state_coefficient_bound (L : ℝ) (r : ℕ)
(hL : 4800 ≤ L) (hr : (r : ℝ) ≤ 400 * Real.log L) :
(5 : ℝ) ^ r ≤ Real.exp (L ^ 4) := by
have hL0 : 0 ≤ L := by linarith
have hlog : Real.log L ≤ L :=
(Real.log_le_sub_one_of_pos (by linarith)).trans (by linarith)
have hpow : 2000 * L ≤ L ^ 4 := by
have h1 := mul_nonneg hL0 (show 0 ≤ L - 2000 by linarith)
have h2 := mul_nonneg (sq_nonneg L) (show 0 ≤ L ^ 2 - 1 by nlinarith)
nlinarith
calc
_ ≤ (Real.exp 5) ^ r := pow_le_pow_left₀ (by norm_num)
(by linarith [Real.add_one_le_exp (5 : ℝ)]) r
_ = Real.exp (r * 5) := by rw [Real.exp_nat_mul]
_ ≤ _ := Real.exp_le_exp.mpr (by nlinarith)
theorem BravermanDepth22Input.eventually_prime_state_weight (hBr : BravermanDepth22Input) :
∃ A : ℕ, 1000 ≤ A ∧ ∀ᶠ L : ℝ in atTop,
∀ (m : ℕ) (s : Fin m → ℕ) [∀ i, NeZero (s i)],
0 < m → (m : ℝ) ≤ Real.exp L →
Pairwise (fun i j => (s i).Coprime (s j)) →
(∀ i, (s i : ℝ) ≤ Real.exp L) →
∀ (site : ℤ) (a N : ℕ), Real.exp (L ^ A / 2) ≤ (N : ℝ) →
uniformAverage (fun x : Fin N => primeStateTruncatedWeight s
⌊400 * Real.log L⌋₊ site (fun i => (a + x.val : ZMod (s i)))) ≤
(∏ i, (1 + 4 / (s i : ℝ))) + Real.exp (-(L ^ 9)) := by
obtain ⟨A, hA, hcompare⟩ := hBr.eventually_active_state_comparison
refine ⟨A, hA, ?_⟩
filter_upwards [hcompare, eventually_ge_atTop (4800 : ℝ)] with L hcompare hL
intro m s _ hm hmL hcop hs site a N hN
let M : ℕ := ⌊400 * Real.log L⌋₊
have hlog : 0 ≤ 400 * Real.log L :=
mul_nonneg (by norm_num) (Real.log_nonneg (by linarith))
have hM : (M : ℝ) ≤ 400 * Real.log L := Nat.floor_le hlog
let f : (Fin 1 → Finset (Fin m)) → ℝ := fun S => (5 : ℝ) ^ (S 0).card
have hf : ∀ b : Fin 1 → boundedActiveStates m M,
|f (fun r => (b r).val)| ≤ Real.exp (L ^ 4) := by
intro b
dsimp [f]
rw [abs_of_nonneg (pow_nonneg (by norm_num) _)]
apply padding_state_coefficient_bound L _ hL
exact (Nat.cast_le.mpr (mem_boundedActiveStates.mp (b 0).property)).trans hM
have hc := hcompare m s hm (by linarith) hcop hs 1 m m M hmL hM
(by norm_num; linarith)
(fun i => i) (fun i z => decide (z + (site : ZMod (s i)) = 0))
(fun _ i => i) f hf a N hN
have he (z : ∀ i, ZMod (s i)) :
(if ∀ r : Fin 1,
(activeState (fun i => residueCircuitInputs s (fun i => i)
(fun i z => decide (z + (site : ZMod (s i)) = 0)) z i)).card ≤ M
then f (fun _ => activeState (fun i => residueCircuitInputs s (fun i => i)
(fun i z => decide (z + (site : ZMod (s i)) = 0)) z i)) else 0) =
primeStateTruncatedWeight s M site z := by
simp only [residueCircuitInputs, f, primeStateTruncatedWeight, forall_const]
dsimp only at hc
simp only [he] at hc
have hb := primeStateTruncatedWeight_average_le s M site
linarith [(le_abs_self
(uniformAverage (fun x : Fin N => primeStateTruncatedWeight s M site
(fun i => (a + x.val : ZMod (s i)))) -
uniformAverage (primeStateTruncatedWeight s M site))).trans hc]
lemma primeStateTruncatedWeight_actual {m : ℕ} (Q : Finset ℕ) (e : Fin m ≃ Q)
[∀ i, NeZero (e i).val] (M : ℕ) (site n : ℤ) :
primeStateTruncatedWeight (fun i => (e i).val) M site
(fun i => (n : ZMod (e i).val)) =
if actualPaddingDegree Q (n + site) ≤ M then actualPaddingWeight Q (n + site) else 0 := by
have hs : activeState (fun i => decide ((n : ZMod (e i).val) +
(site : ZMod (e i).val) = 0)) = paddingActiveState Q e (n + site) := by
apply (paddingActiveState_residue Q e _ (n + site) _).symm
intro i
exact Int.cast_add n site
simp only [primeStateTruncatedWeight, hs, paddingActiveState_card, actualPaddingWeight]
lemma primeSet_card_le_exp (Q : Finset ℕ) (hQ : ∀ p ∈ Q, p.Prime)
(L : ℝ) (hupper : ∀ p ∈ Q, (p : ℝ) ≤ Real.exp L) :
(Q.card : ℝ) ≤ Real.exp L := by
have hs : Q ⊆ Icc 1 ⌊Real.exp L⌋₊ := by
intro p hp
exact mem_Icc.mpr ⟨(hQ p hp).one_lt.le,
(Nat.le_floor_iff (Real.exp_pos L).le).mpr (hupper p hp)⟩
have hc : Q.card ≤ ⌊Real.exp L⌋₊ := by
simpa only [Nat.card_Icc, Nat.add_sub_cancel] using card_le_card hs
exact (Nat.cast_le.mpr hc).trans (Nat.floor_le (Real.exp_pos L).le)
lemma paddingTiltNormalizer_one_le (Q : Finset ℕ) : 1 ≤ paddingTiltNormalizer Q := by
calc
1 = ∏ _p : Q, (1 : ℝ) := by simp
_ ≤ paddingTiltNormalizer Q := by
apply prod_le_prod₀
· intro p _
exact zero_le_one
· intro p _
exact le_add_of_nonneg_right (by positivity)
/-- The manuscript's truncated-weight estimate, for literal integer
sites and every permitted interval and offset. -/
theorem BravermanDepth22Input.eventually_actual_padding_weight (hBr : BravermanDepth22Input) :
∃ A : ℕ, 1000 ≤ A ∧ ∀ᶠ L : ℝ in atTop,
∀ (Q : Finset ℕ), (∀ p ∈ Q, p.Prime) →
(∀ p ∈ Q, (p : ℝ) ≤ Real.exp L) →
∀ (site : ℤ) (a N : ℕ), Real.exp (L ^ A / 2) ≤ (N : ℝ) →
let T := uniformAverage (fun x : Fin N =>
(actualPaddingVertex Q (((a + x.val : ℕ) : ℤ) + site)) ^ 2 *
if actualPaddingDegreeCut Q L (((a + x.val : ℕ) : ℤ) + site) then 1 else 0)
T ≤ paddingTiltNormalizer Q + Real.exp (-(L ^ 9)) ∧
T ≤ 2 * paddingTiltNormalizer Q := by
obtain ⟨A, hA, hb⟩ := hBr.eventually_prime_state_weight
refine ⟨A, hA, ?_⟩
filter_upwards [hb, eventually_ge_atTop (4800 : ℝ)] with L hb hL
intro Q hQ hupper site a N hN
have hL0 : 0 ≤ L := by linarith
have hlog : 0 ≤ 400 * Real.log L :=
mul_nonneg (by norm_num) (Real.log_nonneg (by linarith))
have hmain : uniformAverage (fun x : Fin N =>
(actualPaddingVertex Q (((a + x.val : ℕ) : ℤ) + site)) ^ 2 *
if actualPaddingDegreeCut Q L (((a + x.val : ℕ) : ℤ) + site) then 1 else 0) ≤
paddingTiltNormalizer Q + Real.exp (-(L ^ 9)) := by
by_cases hne : Q.Nonempty
· let m := Fintype.card Q
let e : Fin m ≃ Q := (Fintype.equivFin Q).symm
let s := fun i : Fin m => (e i).val
let (i : Fin m) : NeZero (s i) := ⟨(hQ _ (e i).property).ne_zero⟩
have hm : 0 < m := Fintype.card_pos_iff.mpr ⟨⟨hne.choose, hne.choose_spec⟩⟩
have hmL : (m : ℝ) ≤ Real.exp L := by
simpa only [m, Fintype.card_coe] using primeSet_card_le_exp Q hQ L hupper
have hcop : Pairwise (fun i j => (s i).Coprime (s j)) := by
intro i j hij
apply (Nat.coprime_primes (hQ _ (e i).property) (hQ _ (e j).property)).mpr
intro he
exact hij (e.injective (Subtype.ext he))
have hs (i : Fin m) : (s i : ℝ) ≤ Real.exp L := hupper _ (e i).property
have hh := hb m s hm hmL hcop hs site a N hN
have heval (x : Fin N) : primeStateTruncatedWeight s ⌊400 * Real.log L⌋₊ site
(fun i => (a + x.val : ZMod (s i))) =
(actualPaddingVertex Q (((a + x.val : ℕ) : ℤ) + site)) ^ 2 *
if actualPaddingDegreeCut Q L (((a + x.val : ℕ) : ℤ) + site) then 1 else 0 := by
have hx := primeStateTruncatedWeight_actual Q e ⌊400 * Real.log L⌋₊ site
((a + x.val : ℕ) : ℤ)
simp only [Nat.cast_add, Int.cast_add, Int.cast_natCast] at hx
rw [hx]
simp only [Nat.le_floor_iff hlog, actualPaddingVertex_sq,
actualPaddingDegreeCut, Nat.cast_add]
split_ifs <;> simp
have hnorm : (∏ i, (1 + 4 / (s i : ℝ))) = paddingTiltNormalizer Q :=
e.prod_comp (fun p : Q => 1 + 4 / (p.val : ℝ))
simpa only [heval, hnorm] using hh
· have hQempty : Q = ∅ := not_nonempty_iff_eq_empty.mp hne
subst Q
have hNpos : 0 < N := by exact_mod_cast (Real.exp_pos _).trans_le hN
let : NeZero N := ⟨by omega⟩
have hf (x : Fin N) :
(actualPaddingVertex ∅ (((a + x.val : ℕ) : ℤ) + site)) ^ 2 *
(if actualPaddingDegreeCut ∅ L (((a + x.val : ℕ) : ℤ) + site)
then (1 : ℝ) else 0) = 1 := by
simp only [actualPaddingVertex_sq, actualPaddingWeight, actualPaddingDegree,
filter_empty, card_empty, pow_zero, actualPaddingDegreeCut, Nat.cast_zero,
hlog, ite_true, mul_one]
simp only [hf, uniformAverage_const]
have hnorm : paddingTiltNormalizer ∅ = 1 := by simp [paddingTiltNormalizer]
rw [hnorm]
linarith [Real.exp_pos (-(L ^ 9))]
dsimp only
refine ⟨hmain, ?_⟩
have he : Real.exp (-(L ^ 9)) ≤ 1 :=
Real.exp_le_one_iff.mpr (neg_nonpos.mpr (pow_nonneg hL0 _))
have hS := paddingTiltNormalizer_one_le Q
linarith
/-- Summing over any fixed finite collection of offsets costs its cardinality. -/
theorem BravermanDepth22Input.eventually_actual_padding_weight_sum
(hBr : BravermanDepth22Input) :
∃ A : ℕ, 1000 ≤ A ∧ ∀ᶠ L : ℝ in atTop,
∀ (Q : Finset ℕ), (∀ p ∈ Q, p.Prime) →
(∀ p ∈ Q, (p : ℝ) ≤ Real.exp L) →
∀ {ι : Type*} [DecidableEq ι] (offsets : Finset ι) (site : ι → ℤ)
(a N : ℕ), Real.exp (L ^ A / 2) ≤ (N : ℝ) →
(∑ i ∈ offsets, uniformAverage (fun x : Fin N =>
(actualPaddingVertex Q (((a + x.val : ℕ) : ℤ) + site i)) ^ 2 *
if actualPaddingDegreeCut Q L (((a + x.val : ℕ) : ℤ) + site i)
then 1 else 0)) ≤
2 * (offsets.card : ℝ) * paddingTiltNormalizer Q := by
obtain ⟨A, hA, hb⟩ := hBr.eventually_actual_padding_weight
refine ⟨A, hA, ?_⟩
filter_upwards [hb] with L hb
intro Q hQ hupper ι _ offsets site a N hN
calc
_ ≤ ∑ _i ∈ offsets, 2 * paddingTiltNormalizer Q := by
apply sum_le_sum
intro i _
exact (hb Q hQ hupper (site i) a N hN).2
_ = _ := by rw [sum_const, nsmul_eq_mul]; ring
end TwoPointCorrelations
end OAI