openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /ShortIntervals /MRTCharacterMovingCenter.lean
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import OAI.NumberTheory.TwoPoint.ShortIntervals.MRTAdaptiveDisk
namespace OAI
/-! Normalization of Dirichlet L-functions on a moving disk. The radius is
an explicit parameter; all characters, including the principal character,
are allowed when the disk stays away from the real axis. -/
namespace TwoPointCorrelations
open Complex Filter
open scoped BigOperators Classical Topology
variable {q : ℕ} [NeZero q]
noncomputable def mrtMovingPoint (r t : ℝ) (z : ℂ) : ℂ :=
((1 + 2 * r : ℝ) : ℂ) + Complex.I * (t : ℂ) + ((3 * r : ℝ) : ℂ) * z
noncomputable def mrtMovingLFunction (χ : DirichletCharacter ℂ q) (r t : ℝ)
(z : ℂ) : ℂ :=
DirichletCharacter.LFunction χ (mrtMovingPoint r t z) /
DirichletCharacter.LFunction χ (mrtMovingPoint r t 0)
lemma mrt_moving_point_ne_one {r t : ℝ} (hr : 0 < r) (ht : 3 * r < |t|)
{z : ℂ} (hz : ‖z‖ ≤ 1) : mrtMovingPoint r t z ≠ 1 := by
intro he
have him := congrArg Complex.im he
have him' : t + 3 * r * z.im = 0 := by
simpa [mrtMovingPoint, Complex.mul_im] using him
have hzi := (Complex.abs_im_le_norm z).trans hz
have heq : t = -(3 * r * z.im) := by linarith
rw [heq, abs_neg, abs_mul, abs_of_pos (by positivity : 0 < 3 * r)] at ht
nlinarith
lemma mrt_moving_point_center_ne_zero (χ : DirichletCharacter ℂ q)
{r : ℝ} (hr : 0 < r) (t : ℝ) :
DirichletCharacter.LFunction χ (mrtMovingPoint r t 0) ≠ 0 := by
apply χ.LFunction_ne_zero_of_one_le_re
· right
intro h
have hh := congrArg Complex.re h
simp [mrtMovingPoint] at hh
linarith
· simp [mrtMovingPoint]
linarith
lemma mrt_moving_LFunction_zero (χ : DirichletCharacter ℂ q)
{r : ℝ} (hr : 0 < r) (t : ℝ) : mrtMovingLFunction χ r t 0 = 1 :=
div_self (mrt_moving_point_center_ne_zero χ hr t)
lemma mrt_moving_LFunction_analytic (χ : DirichletCharacter ℂ q)
{r t : ℝ} (hr : 0 < r) (ht : 3 * r < |t|) :
∀ z ∈ Metric.closedBall (0 : ℂ) 1, AnalyticAt ℂ (mrtMovingLFunction χ r t) z := by
intro z hz
have hn := mrt_moving_point_ne_one hr ht (by simpa using hz)
have hd : DifferentiableOn ℂ (DirichletCharacter.LFunction χ) ({1}ᶜ : Set ℂ) := by
intro w hw
exact (χ.differentiableAt_LFunction w (Or.inl hw)).differentiableWithinAt
have ha := hd.analyticAt (isOpen_compl_singleton.mem_nhds hn)
have hp : AnalyticAt ℂ (mrtMovingPoint r t) z := by
apply Differentiable.analyticAt
unfold mrtMovingPoint
fun_prop
exact (ha.comp hp).div_const
lemma mrt_moving_LFunction_growth (χ : DirichletCharacter ℂ q)
{r t A V B : ℝ}
(hA : 0 ≤ A)
(hg : ∀ z ∈ Metric.closedBall (0 : ℂ) (15 / 16),
‖DirichletCharacter.LFunction χ (mrtMovingPoint r t z)‖ ≤ A)
(hi : ‖(DirichletCharacter.LFunction χ (mrtMovingPoint r t 0))⁻¹‖ ≤ V)
(hB : A * V ≤ Real.exp B) :
∀ z ∈ Metric.closedBall (0 : ℂ) (15 / 16),
‖mrtMovingLFunction χ r t z‖ ≤ Real.exp B := by
intro z hz
unfold mrtMovingLFunction
rw [div_eq_mul_inv, norm_mul]
exact (mul_le_mul (hg z hz) hi (norm_nonneg _) hA).trans hB
lemma mrt_moving_LFunction_deriv (χ : DirichletCharacter ℂ q)
{r t : ℝ} (hr : 0 < r) (ht : 3 * r < |t|)
{z : ℂ} (hz : ‖z‖ ≤ 1) :
deriv (mrtMovingLFunction χ r t) z =
(deriv (DirichletCharacter.LFunction χ) (mrtMovingPoint r t z) *
((3 * r : ℝ) : ℂ)) /
DirichletCharacter.LFunction χ (mrtMovingPoint r t 0) := by
have hp : HasDerivAt (mrtMovingPoint r t) ((3 * r : ℝ) : ℂ) z := by
exact (hasDerivAt_const_mul ((3 * r : ℝ) : ℂ)).const_add
(((1 + 2 * r : ℝ) : ℂ) + Complex.I * (t : ℂ))
have hn := mrt_moving_point_ne_one hr ht hz
exact (((χ.differentiableAt_LFunction _ (Or.inl hn)).hasDerivAt.comp z hp).div_const
(DirichletCharacter.LFunction χ (mrtMovingPoint r t 0))).deriv
lemma mrt_moving_logderiv_eq (χ : DirichletCharacter ℂ q)
{r t : ℝ} (hr : 0 < r) (ht : 3 * r < |t|)
{z : ℂ} (hz : ‖z‖ ≤ 1)
(hn : DirichletCharacter.LFunction χ (mrtMovingPoint r t z) ≠ 0) :
deriv (mrtMovingLFunction χ r t) z / mrtMovingLFunction χ r t z =
((3 * r : ℝ) : ℂ) *
(deriv (DirichletCharacter.LFunction χ) (mrtMovingPoint r t z) /
DirichletCharacter.LFunction χ (mrtMovingPoint r t z)) := by
rw [mrt_moving_LFunction_deriv χ hr ht hz]
unfold mrtMovingLFunction
field_simp [hn, mrt_moving_point_center_ne_zero χ hr t]
/-- A separated normalized zero set bounds the actual logarithmic derivative.
The factor `1/(3r)` is the only cost of changing the disk radius. -/
theorem mrt_moving_logderiv_norm (χ : DirichletCharacter ℂ q)
{r t B η : ℝ} (hr : 0 < r) (ht : 3 * r < |t|) (hB : 0 < B)
(hg : ∀ z ∈ Metric.closedBall (0 : ℂ) (15 / 16),
‖mrtMovingLFunction χ r t z‖ ≤ Real.exp B)
{z : ℂ} (hz : ‖z‖ ≤ 3 / 4)
(hn : DirichletCharacter.LFunction χ (mrtMovingPoint r t z) ≠ 0)
(hη : 0 < η)
(hd : ∀ ρ ∈ mrtDiskZeros (mrtMovingLFunction χ r t), η ≤ ‖z - ρ‖) :
‖deriv (DirichletCharacter.LFunction χ) (mrtMovingPoint r t z) /
DirichletCharacter.LFunction χ (mrtMovingPoint r t z)‖ ≤
((mrtCharacterLogDerivativeConstant +
(1 / Real.log ((15 / 16 : ℝ) / (7 / 8))) / η) * B) / (3 * r) := by
have hf := mrt_moving_LFunction_analytic χ hr ht
have h0 := mrt_moving_LFunction_zero χ hr t
have hfn : mrtMovingLFunction χ r t z ≠ 0 :=
div_ne_zero hn (mrt_moving_point_center_ne_zero χ hr t)
have hh := mrt_disk_logderiv_norm _ hf h0 hB hg hz hfn hη hd
rw [mrt_moving_logderiv_eq χ hr ht (hz.trans (by norm_num)) hn, norm_mul,
Complex.norm_real, Real.norm_eq_abs, abs_of_pos (by positivity : 0 < 3 * r)] at hh
exact (le_div_iff₀ (by positivity : 0 < 3 * r)).mpr (by nlinarith only [hh])
end TwoPointCorrelations
end OAI