openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /ShortIntervals /MRTCharacterSmallHeight.lean
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import OAI.NumberTheory.TwoPoint.ShortIntervals.MRTCharacterGlobalTail
import OAI.NumberTheory.TwoPoint.ShortIntervals.MRTLiouvilleLSeries
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics
namespace OAI
/-! A concrete low-height range in the original Liouville prime tail.
Only nonprincipal characters are covered here. -/
namespace TwoPointCorrelations
open Filter Finset
open scoped Classical
lemma mrt_prime_power_cutoff_log_lower {a : ℝ} (ha : 0 < a) :
∀ᶠ X : ℕ in atTop,
(1 / 2 : ℝ) * (Real.log (X : ℝ)) ^ a ≤
Real.log (mrtPrimePowerCutoff a X : ℝ) := by
have hlog : Tendsto (fun X : ℕ => Real.log (X : ℝ)) atTop atTop :=
Real.tendsto_log_atTop.comp tendsto_natCast_atTop_atTop
have hp := ((tendsto_rpow_atTop ha).comp hlog).eventually
(eventually_ge_atTop (max 2 (2 * Real.log 2)))
filter_upwards [hp] with X hX
let A := (Real.log (X : ℝ)) ^ a
have hA : 2 ≤ A := (le_max_left _ _).trans hX
have hAl : 2 * Real.log 2 ≤ A := (le_max_right _ _).trans hX
have hE : 2 ≤ Real.exp A := by linarith [Real.add_one_le_exp A]
have hf : Real.exp A / 2 ≤ (mrtPrimePowerCutoff a X : ℝ) := by
have hh := Nat.lt_floor_add_one (Real.exp A)
change Real.exp A / 2 ≤ (⌊Real.exp A⌋₊ : ℝ)
linarith
have hf0 : 0 < (mrtPrimePowerCutoff a X : ℝ) :=
(div_pos (Real.exp_pos A) (by norm_num)).trans_le hf
have hh := Real.log_le_log (div_pos (Real.exp_pos A) (by norm_num)) hf
rw [Real.log_div (Real.exp_pos A).ne' (by norm_num), Real.log_exp] at hh
change (1 / 2 : ℝ) * A ≤ _
linarith
lemma mrt_character_small_height_bound {q : ℕ} [NeZero q] {L t : ℝ}
(hL : 1 ≤ L) (hq : (q : ℝ) ≤ L ^ (1 / 125 : ℝ))
(ht : |t| ≤ Real.exp (L ^ (1 / 3 : ℝ)))
(hlog : Real.log L ≤ L ^ (1 / 3 : ℝ))
(hthree : Real.log 3 ≤ L ^ (1 / 3 : ℝ)) :
mrtCharacterHeight q t ≤ 3 * L ^ (1 / 3 : ℝ) := by
have hL0 : 0 < L := zero_lt_one.trans_le hL
have hqp : 0 < (q : ℝ) := by exact_mod_cast NeZero.pos q
have hlogq := Real.log_le_log hqp hq
rw [Real.log_rpow hL0] at hlogq
have hE : 1 ≤ Real.exp (L ^ (1 / 3 : ℝ)) :=
Real.one_le_exp (Real.rpow_nonneg hL0.le _)
have he : |t| + 2 ≤ 3 * Real.exp (L ^ (1 / 3 : ℝ)) := by linarith
have hl := Real.log_le_log (by positivity : 0 < |t| + 2) he
rw [Real.log_mul (by norm_num) (Real.exp_pos _).ne', Real.log_exp] at hl
rw [mrt_character_height_split]
have hpow : 0 ≤ L ^ (1 / 3 : ℝ) := Real.rpow_nonneg hL0.le _
linarith
lemma mrt_character_small_height_cost : ∀ᶠ L : ℝ in atTop,
∀ (q : ℕ) [NeZero q], (q : ℝ) ≤ L ^ (1 / 125 : ℝ) →
∀ t : ℝ, |t| ≤ Real.exp (L ^ (1 / 3 : ℝ)) →
(q : ℝ) ^ 2 * mrtCharacterHeight q t ^ 2 ≤ (1 / 2 : ℝ) * L ^ (3 / 4 : ℝ) := by
have hl := (isLittleO_log_rpow_atTop (show (0 : ℝ) < 1 / 3 by norm_num)).bound
(show (0 : ℝ) < 1 by norm_num)
have hp := (tendsto_rpow_atTop (show (0 : ℝ) < 101 / 1500 by norm_num)).eventually
(eventually_ge_atTop (18 : ℝ))
have hthree := (tendsto_rpow_atTop (show (0 : ℝ) < 1 / 3 by norm_num)).eventually
(eventually_ge_atTop (Real.log 3))
filter_upwards [eventually_ge_atTop (1 : ℝ), hl, hp, hthree] with L hL hl hp hthree
have hL0 : 0 < L := zero_lt_one.trans_le hL
rw [Real.norm_eq_abs, abs_of_nonneg (Real.log_nonneg hL), Real.norm_eq_abs,
abs_of_pos (Real.rpow_pos_of_pos hL0 _), one_mul] at hl
intro q _ hq t ht
have hh := mrt_character_small_height_bound hL hq ht hl hthree
have hH := (mrt_character_height_pos q t).le
have hq0 : 0 ≤ (q : ℝ) := Nat.cast_nonneg q
have hm := mul_le_mul (pow_le_pow_left₀ hq0 hq 2) (pow_le_pow_left₀ hH hh 2)
(sq_nonneg _) (by positivity : 0 ≤ (L ^ (1 / 125 : ℝ)) ^ 2)
have h₁ : (L ^ (1 / 125 : ℝ)) ^ 2 = L ^ (2 / 125 : ℝ) := by
rw [← Real.rpow_natCast, ← Real.rpow_mul hL0.le]
norm_num
have h₂ : (L ^ (1 / 3 : ℝ)) ^ 2 = L ^ (2 / 3 : ℝ) := by
rw [← Real.rpow_natCast, ← Real.rpow_mul hL0.le]
norm_num
have he : (L ^ (1 / 125 : ℝ)) ^ 2 * (3 * L ^ (1 / 3 : ℝ)) ^ 2 =
9 * L ^ (256 / 375 : ℝ) := by
calc
_ = 9 * (L ^ (2 / 125 : ℝ) * L ^ (2 / 3 : ℝ)) := by rw [mul_pow, h₁, h₂]; ring
_ = _ := by rw [← Real.rpow_add hL0]; norm_num
rw [he] at hm
have hmul := mul_le_mul_of_nonneg_right hp (Real.rpow_nonneg hL0.le (256 / 375))
have hsum : L ^ (101 / 1500 : ℝ) * L ^ (256 / 375 : ℝ) = L ^ (3 / 4 : ℝ) := by
rw [← Real.rpow_add hL0]
norm_num
rw [hsum] at hmul
linarith
theorem mrt_liouville_nonprincipal_small_height : ∃ C : ℝ, 0 < C ∧
∀ᶠ X : ℕ in atTop, ∀ q : ℕ, 0 < q →
(q : ℝ) ≤ (Real.log (X : ℝ)) ^ (1 / 125 : ℝ) →
∀ χ : DirichletCharacter ℂ q, χ ≠ 1 → ∀ t : ℝ,
|t| ≤ Real.exp ((Real.log (X : ℝ)) ^ (1 / 3 : ℝ)) →
|(∑ p ∈ mrtLiouvillePrimeTail X, characterTwist χ t p / (p : ℂ)).re| ≤ C := by
obtain ⟨C, hC, htail⟩ := mrt_character_global_prime_tail
refine ⟨C, hC, ?_⟩
have hlog : Tendsto (fun X : ℕ => Real.log (X : ℝ)) atTop atTop :=
Real.tendsto_log_atTop.comp tendsto_natCast_atTop_atTop
filter_upwards [hlog.eventually mrt_character_small_height_cost,
mrt_prime_power_cutoff_log_lower (show (0 : ℝ) < 3 / 4 by norm_num),
mrt_prime_power_cutoff_eventually (show (0 : ℝ) < 3 / 4 by norm_num) (by norm_num)]
with X hcost hlower hcut
intro q hq hqX χ hχ t ht
let : NeZero q := ⟨Nat.ne_of_gt hq⟩
change |(∑ p ∈ mrtPrimePowerTail (3 / 4) X, characterTwist χ t p / (p : ℂ)).re| ≤ C
rw [mrt_prime_power_tail_cutoff]
exact htail q χ hχ t _ _ hcut.1 hcut.2 ((hcost q hqX t ht).trans hlower)
end TwoPointCorrelations
end OAI