openAI-math-dataset / lean /OAI /NumberTheory /Ostmann /ZeroDensity /ArithmeticProgressionRows.lean
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import OAI.NumberTheory.Ostmann.ZeroDensity.ProgressionErrorRates
namespace OAI
/-! # Giant and bulk progression rows used in the arithmetic comparison -/
namespace Ostmann
open Filter
inductive ArithmeticProgressionRow
| giant
| bulk
deriving DecidableEq
namespace ArithmeticProgressionRow
noncomputable def leftExponent : ArithmeticProgressionRow → ℝ
| giant => 49 / 1000
| bulk => 39 / 10000
noncomputable def modulusExponent : ArithmeticProgressionRow → ℝ
| giant => 12 / 1000
| bulk => 12 / 10000
noncomputable def errorExponent : ArithmeticProgressionRow → ℝ
| giant => 18 / 1000
| bulk => 16 / 10000
theorem gaps (r : ArithmeticProgressionRow) :
0 < r.leftExponent ∧ 0 < r.modulusExponent ∧
r.errorExponent < r.leftExponent / 2 ∧
r.errorExponent < r.leftExponent - r.modulusExponent ∧
0 < r.leftExponent - r.modulusExponent := by
cases r <;> norm_num [leftExponent, modulusExponent, errorExponent]
end ArithmeticProgressionRow
/-- Exactly the two rows of the manuscript's progression table, with one
exceptional character for all moduli in the row. The logarithmic interval
estimate is proved from the published theta and Page inputs. -/
theorem PublishedProgressionInput.row_log_interval (P : PublishedProgressionInput)
(r : ArithmeticProgressionRow) :
∀ᶠ L : ℝ in atTop, ∀ (q Q a : ℕ), 2 ≤ Q → 1 ≤ q → q ≤ Q → a.Coprime q →
Real.log (Q : ℝ) ≤ Real.exp (r.modulusExponent * L) →
∀ s t : ℝ, 1 ≤ s → Real.exp (r.leftExponent * L) ≤ s → s ≤ t → t ≤ s + 1 →
|reciprocalPrimeInterval q a (Real.exp s) (Real.exp t) -
∫ y in Set.Ioc s t, primeLogDensity (Nat.totient q)
(pageCoefficient (pageAtModulus q (selectedPageZero P Q)) a)
(pageBeta (pageAtModulus q (selectedPageZero P Q))) y| ≤
2 * Real.exp (-Real.exp (r.errorExponent * L)) := by
obtain ⟨ha, hμ, hδa, hδμ, haμ⟩ := r.gaps
filter_upwards [P.log_interval_rate r.leftExponent r.modulusExponent r.errorExponent
ha hδa hδμ haμ,
eventually_ge_atTop (Real.log 4 / r.modulusExponent)] with L hL hLlarge
intro q Q a hQ hq hqQ hcop hlog
apply hL q Q a hQ hq hqQ hcop
have hQ0 : (Q : ℝ) ≠ 0 := by exact_mod_cast (by omega : Q ≠ 0)
rw [Real.log_mul (by norm_num : (4 : ℝ) ≠ 0) hQ0]
have hm : Real.log 4 ≤ r.modulusExponent * L := by
have h := (div_le_iff₀ hμ).mp hLlarge
nlinarith
have he := Real.add_one_le_exp (r.modulusExponent * L)
linarith
end Ostmann
end OAI