openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Fourier /MinorArcFirstBand.lean
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import OAI.NumberTheory.TwoPoint.Fourier.MinorArcTheorem
import OAI.NumberTheory.TwoPoint.ShortIntervals.MRTBandParameters
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics
namespace OAI
/-! First-band parameters. A larger fixed lower-endpoint power absorbs
the explicit factorial constants; it changes only the absolute constant. -/
namespace TwoPointCorrelations
open Filter
noncomputable def minorArcFirstLower (A : ℕ) (H : ℝ) : ℝ := (Real.log H) ^ (5 * A)
noncomputable def minorArcFirstUpper (H : ℝ) : ℝ := H / (Real.log H) ^ 15
lemma minor_arc_first_lower_log (A : ℕ) (H : ℝ) :
Real.log (minorArcFirstLower A H) = 5 * (A : ℝ) * Real.log (Real.log H) := by
simp only [minorArcFirstLower, Real.log_pow, Nat.cast_mul, Nat.cast_ofNat]
lemma minor_arc_first_band_budget (A : ℕ) (hA : 500000 ≤ A) (H : ℝ)
(hloglog : 1 ≤ Real.log (Real.log H)) (hQ : 1 < minorArcFirstUpper H)
(hQH : minorArcFirstUpper H ≤ H) :
8192 * (Real.log (Real.log (minorArcFirstUpper H)) + 1) ≤
(1 / 100 : ℝ) * Real.log (minorArcFirstLower A H) := by
have hmono := Real.log_le_log (Real.log_pos hQ)
(Real.log_le_log (by linarith : 0 < minorArcFirstUpper H) hQH)
have hA' : (500000 : ℝ) ≤ A := by exact_mod_cast hA
have hm := mul_le_mul_of_nonneg_right hA' (by linarith : 0 ≤ Real.log (Real.log H))
rw [minor_arc_first_lower_log]
nlinarith
lemma minor_arc_first_band_density (A : ℕ) (H : ℝ)
(hL : 0 < Real.log H) (hLL : 0 ≤ Real.log (Real.log H))
(hQ : Real.log H / 2 ≤ Real.log (minorArcFirstUpper H)) :
Real.log (minorArcFirstLower A H) / Real.log (minorArcFirstUpper H) ≤
10 * (A : ℝ) * Real.log (Real.log H) / Real.log H := by
rw [minor_arc_first_lower_log]
calc
_ ≤ (5 * (A : ℝ) * Real.log (Real.log H)) / (Real.log H / 2) :=
div_le_div_of_nonneg_left (by positivity) (by positivity) hQ
_ = _ := by ring
theorem minor_arc_first_band_scale (A R₀ : ℕ) (hA : 2 ≤ A) :
∀ᶠ H : ℝ in atTop, 4 ≤ H ∧ 2 ≤ Real.log H ∧ 1 ≤ Real.log (Real.log H) ∧
4 ≤ minorArcFirstLower A H ∧ 2 * (R₀ : ℝ) ≤ minorArcFirstLower A H ∧
2 * (Real.log H) ^ 5 ≤ minorArcFirstLower A H ∧
minorArcFirstLower A H ≤ minorArcFirstUpper H ∧
minorArcFirstUpper H ≤ H / (Real.log H) ^ 5 ∧
(Real.log H) / 2 ≤ Real.log (minorArcFirstUpper H) ∧
1 ≤ Real.log (minorArcFirstUpper H) := by
let E : ℕ := max (5 * A + 15) 30
have hsmall := (Real.isLittleO_pow_log_id_atTop (n := E)).bound (by norm_num : (0 : ℝ) < 1)
have hlarge := Real.tendsto_log_atTop.eventually
(eventually_ge_atTop (max (4 : ℝ) (2 * R₀)))
have hloglog := (Real.tendsto_log_atTop.comp Real.tendsto_log_atTop).eventually
(eventually_ge_atTop (1 : ℝ))
filter_upwards [hsmall, hlarge, hloglog, eventually_ge_atTop (4 : ℝ)] with H hs hl hll hH
have hL4 : 4 ≤ Real.log H := (le_max_left _ _).trans hl
have hLR : 2 * (R₀ : ℝ) ≤ Real.log H := (le_max_right _ _).trans hl
have hL1 : 1 ≤ Real.log H := by linarith
have hL0 : 0 < Real.log H := by linarith
have hH0 : 0 < H := by linarith
dsimp only [id] at hs
rw [Real.norm_eq_abs, abs_of_nonneg (pow_nonneg hL0.le E), Real.norm_eq_abs,
abs_of_pos hH0, one_mul] at hs
have hsA : Real.log H ^ (5 * A + 15) ≤ H :=
(pow_le_pow_right₀ hL1 (le_max_left _ _)).trans hs
have hs30 : Real.log H ^ 30 ≤ H :=
(pow_le_pow_right₀ hL1 (le_max_right _ _)).trans hs
have hP0 : 0 < minorArcFirstLower A H := by unfold minorArcFirstLower; positivity
have hPL : Real.log H ≤ minorArcFirstLower A H :=
le_self_pow₀ hL1 (by omega : 5 * A ≠ 0)
have hPQ : minorArcFirstLower A H ≤ minorArcFirstUpper H := by
apply (le_div_iff₀ (pow_pos hL0 15)).mpr
simpa only [minorArcFirstLower, ← pow_add] using hsA
have hW2 : 2 ≤ Real.log H ^ 5 :=
(by linarith : 2 ≤ Real.log H).trans (le_self_pow₀ hL1 (by norm_num : (5 : ℕ) ≠ 0))
have hWP : 2 * Real.log H ^ 5 ≤ minorArcFirstLower A H := by
have hpow := pow_le_pow_right₀ (by linarith : 1 ≤ Real.log H ^ 5) hA
have hbase : 2 * Real.log H ^ 5 ≤ (Real.log H ^ 5) ^ 2 := by nlinarith
exact hbase.trans (by simpa only [pow_mul, minorArcFirstLower] using hpow)
have hQU : minorArcFirstUpper H ≤ H / Real.log H ^ 5 :=
div_le_div_of_nonneg_left hH0.le (pow_pos hL0 5)
(pow_le_pow_right₀ hL1 (by norm_num : 5 ≤ 15))
have h30 := Real.log_le_log (pow_pos hL0 30) hs30
rw [Real.log_pow] at h30
norm_num at h30
have hlogQ : Real.log (minorArcFirstUpper H) = Real.log H - 15 * Real.log (Real.log H) := by
rw [minorArcFirstUpper, Real.log_div hH0.ne' (pow_ne_zero 15 hL0.ne'), Real.log_pow]
norm_num
have hhalf : Real.log H / 2 ≤ Real.log (minorArcFirstUpper H) := by rw [hlogQ]; linarith
exact ⟨hH, by linarith, hll, hL4.trans hPL, hLR.trans hPL, hWP, hPQ, hQU,
hhalf, by linarith⟩
theorem minor_arc_first_band_density_eventually (A : ℕ) (hA : 2 ≤ A) :
∀ᶠ H : ℝ in atTop,
Real.log (minorArcFirstLower A H) / Real.log (minorArcFirstUpper H) ≤
10 * (A : ℝ) * Real.log (Real.log H) / Real.log H := by
filter_upwards [minor_arc_first_band_scale A 0 hA] with H hH
obtain ⟨_, hL, hLL, _, _, _, _, _, hhalf, _⟩ := hH
exact minor_arc_first_band_density A H (by linarith) (by linarith) hhalf
theorem minor_arc_first_band_budget_eventually (A : ℕ) (hA : 500000 ≤ A) :
∀ᶠ H : ℝ in atTop,
8192 * (Real.log (Real.log (minorArcFirstUpper H)) + 1) ≤
(1 / 100 : ℝ) * Real.log (minorArcFirstLower A H) := by
filter_upwards [minor_arc_first_band_scale A 0 (by omega)] with H hs
obtain ⟨hH, hL, hLL, hP, _hPR, _hPW, hPQ, hQU, _hhalf, _hQ⟩ := hs
apply minor_arc_first_band_budget A hA H hLL (by linarith)
exact hQU.trans (div_le_self (by linarith) (one_le_pow₀ (by linarith : 1 ≤ Real.log H)))
end TwoPointCorrelations
end OAI