openAI-math-dataset / lean /OAI /NumberTheory /Catalan /Arithmetic /OddPrimeLossNormalization.lean
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import Mathlib.Algebra.Field.ZMod
import Mathlib.Analysis.Real.Sqrt
import OAI.NumberTheory.Catalan.Arithmetic.OddPrimeLoss
import OAI.NumberTheory.Catalan.Estimates.TwoAdicQuadratic
import OAI.NumberTheory.Catalan.PrimeLimits.ContinuousWeightedPNT
import OAI.NumberTheory.Catalan.PrimeLimits.ImportedPNTCoreBridge
namespace OAI
section
open Filter
open scoped Topology BigOperators
open Zeta5.Workers.W14
open Zeta5.W12.ImportedPNTCoreBridge
namespace InternalCatalan
theorem oddPrimeLoss_weighted_0_25 (R : ℝ) (hR : 0 < R) :
weightedPrimeIntervalSum oddPrimeLoss 0 25 R =
96 * (Chebyshev.theta (25 * R) / R) := by
have hconstant : weightedPrimeIntervalSum oddPrimeLoss 0 25 R =
weightedPrimeIntervalSum (fun _ => 96) 0 25 R := by
unfold weightedPrimeIntervalSum
congr 1
apply Finset.sum_congr rfl
intro p hp
have hupper : p ≤ ⌊(25 : ℝ) * R⌋₊ :=
(Finset.mem_Ioc.mp (Finset.mem_filter.mp hp).1).2
have hreal : (p : ℝ) ≤ 25 * R :=
(Nat.le_floor_iff (by positivity : 0 ≤ (25 : ℝ) * R)).mp hupper
rw [oddPrimeLoss_of_le_25 _ ((div_le_iff₀ hR).mpr hreal)]
rw [hconstant, weightedPrimeIntervalSum_const]
simp only [primeIntervalSum, Chebyshev.theta, zero_mul, Nat.floor_zero]
theorem oddPrimeLoss_weighted_tendsto_real :
Tendsto (weightedPrimeIntervalSum oddPrimeLoss 0 65)
atTop (𝓝 (8609 / 2 : ℝ)) := by
have hfirst := (theta_scaled_tendsto theta_ratio_tendsto_one
(by norm_num : (0 : ℝ) < 25)).const_mul (96 : ℝ)
have hlast := continuous_weightedPrime_tendsto
(by norm_num : (0 : ℝ) < 25) (by norm_num : (25 : ℝ) < 65)
(continuous_oddPrimeLoss.continuousOn : ContinuousOn oddPrimeLoss (Set.Icc 25 65))
theta_ratio_tendsto_one
rw [integral_oddPrimeLoss_25_65] at hlast
have hcombined := hfirst.add hlast
norm_num at hcombined
apply hcombined.congr'
filter_upwards [eventually_gt_atTop (0 : ℝ)] with R hR
simpa only [oddPrimeLoss_weighted_0_25 R hR] using
(weightedPrimeIntervalSum_add_adjacent oddPrimeLoss
(by norm_num : (0 : ℝ) ≤ 25) (by norm_num : (25 : ℝ) ≤ 65) hR.le)
theorem oddPrimeLoss_prime_sum_tendsto :
Tendsto (fun N : ℕ =>
(∑ p ∈ Finset.Ioc 0 (65 * N) with p.Prime,
oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) / N)
atTop (𝓝 (8609 / 2 : ℝ)) := by
have h := oddPrimeLoss_weighted_tendsto_real.comp tendsto_natCast_atTop_atTop
have hfloor (N : ℕ) : ⌊(65 : ℝ) * N⌋₊ = 65 * N := by
rw [show (65 : ℝ) * N = ((65 * N : ℕ) : ℝ) by norm_num [Nat.cast_mul]]
exact Nat.floor_natCast _
simpa only [Function.comp_def, weightedPrimeIntervalSum, zero_mul,
Nat.floor_zero, hfloor] using h
end InternalCatalan
end
section
open Filter
open scoped Topology BigOperators
open Zeta5.Workers.W14
namespace InternalCatalan
noncomputable def removedPrimeLoss (N : ℕ) : ℝ :=
(∑ p ∈ (Finset.Ioc 0 (H N)).filter
(fun p : ℕ => p.Prime ∧ (p : ℝ) ≤ 2 * Real.sqrt (H N)),
oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) / N
theorem removedPrimeLoss_nonneg (N : ℕ) : 0 ≤ removedPrimeLoss N := by
unfold removedPrimeLoss
apply div_nonneg _ (Nat.cast_nonneg N)
apply Finset.sum_nonneg
intro p hp
exact mul_nonneg (oddPrimeLoss_mem_Icc _).1
(log_prime_nonneg (Finset.mem_filter.mp hp).2.1)
theorem removedPrimeLoss_le (N : ℕ) :
removedPrimeLoss N ≤
(96 * Real.log 4 * 2) * (Real.sqrt (H N) / N) := by
let y : ℝ := 2 * Real.sqrt (H N)
let s := (Finset.Ioc 0 (H N)).filter
(fun p : ℕ => p.Prime ∧ (p : ℝ) ≤ y)
let t := (Finset.Ioc 0 ⌊y⌋₊).filter Nat.Prime
have hy : 0 ≤ y := by dsimp [y]; positivity
have hsub : s ⊆ t := by
intro p hp
rcases Finset.mem_filter.mp hp with ⟨hpI, hprime, hcut⟩
exact Finset.mem_filter.mpr
⟨Finset.mem_Ioc.mpr ⟨(Finset.mem_Ioc.mp hpI).1,
(Nat.le_floor_iff hy).mpr hcut⟩, hprime⟩
have hsum : (∑ p ∈ s, oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) ≤
96 * Chebyshev.theta y := by
calc
_ ≤ ∑ p ∈ s, (96 : ℝ) * Real.log (p : ℝ) := by
apply Finset.sum_le_sum
intro p hp
exact mul_le_mul_of_nonneg_right (oddPrimeLoss_mem_Icc _).2
(log_prime_nonneg (Finset.mem_filter.mp hp).2.1)
_ ≤ ∑ p ∈ t, (96 : ℝ) * Real.log (p : ℝ) := by
apply Finset.sum_le_sum_of_subset_of_nonneg hsub
intro p hp _
exact mul_nonneg (by norm_num)
(log_prime_nonneg (Finset.mem_filter.mp hp).2)
_ = 96 * Chebyshev.theta y := by
simp only [t, Chebyshev.theta, Finset.mul_sum]
calc
removedPrimeLoss N ≤ (96 * Chebyshev.theta y) / N :=
div_le_div_of_nonneg_right hsum (Nat.cast_nonneg N)
_ ≤ (96 * (Real.log 4 * y)) / N :=
div_le_div_of_nonneg_right
(mul_le_mul_of_nonneg_left (Chebyshev.theta_le_log4_mul_x hy) (by norm_num))
(Nat.cast_nonneg N)
_ = (96 * Real.log 4 * 2) * (Real.sqrt (H N) / N) := by
dsimp [y]
ring
theorem sqrt_H_div_tendsto_zero :
Tendsto (fun N : ℕ => Real.sqrt (H N) / N) atTop (𝓝 0) := by
have hcast : Tendsto (fun N : ℕ => (N : ℝ)) atTop atTop :=
tendsto_natCast_atTop_atTop
have h := (tendsto_inv_atTop_zero.comp
(Real.tendsto_sqrt_atTop.comp hcast)).const_mul (Real.sqrt 65)
simpa only [H, Nat.cast_mul, Nat.cast_ofNat, Function.comp_def,
Real.sqrt_mul (by norm_num : (0 : ℝ) ≤ 65),
mul_div_assoc, Real.sqrt_div_self, mul_zero] using h
theorem removedPrimeLoss_tendsto_zero :
Tendsto removedPrimeLoss atTop (𝓝 0) := by
have h := sqrt_H_div_tendsto_zero.const_mul (96 * Real.log 4 * 2)
simp only [mul_zero] at h
exact squeeze_zero removedPrimeLoss_nonneg removedPrimeLoss_le h
theorem oddPrimeLoss_large_prime_sum_tendsto :
Tendsto (fun N : ℕ =>
(∑ p ∈ (Finset.Ioc 0 (H N)).filter
(fun p : ℕ => p.Prime ∧ 2 * Real.sqrt (H N) < (p : ℝ)),
oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) / N)
atTop (𝓝 (8609 / 2 : ℝ)) := by
have h := oddPrimeLoss_prime_sum_tendsto.sub removedPrimeLoss_tendsto_zero
simp only [sub_zero] at h
apply h.congr
intro N
apply (sub_eq_iff_eq_add).mpr
unfold removedPrimeLoss
rw [← add_div]
congr 1
change (∑ p ∈ Finset.Ioc 0 (H N) with p.Prime,
oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) = _
simp only [Finset.sum_filter]
rw [← Finset.sum_add_distrib]
apply Finset.sum_congr rfl
intro p _
by_cases hprime : p.Prime
· by_cases hcut : (p : ℝ) ≤ 2 * Real.sqrt (H N)
· simp [hprime, hcut, not_lt.mpr hcut]
· simp [hprime, hcut, lt_of_not_ge hcut]
· simp [hprime]
theorem large_prime_cutoff_ne_two {N p : ℕ} (hN : 0 < N)
(hp : 2 * Real.sqrt (H N) < (p : ℝ)) : p ≠ 2 := by
have hH : (1 : ℝ) ≤ (H N : ℝ) := by
exact_mod_cast (show 1 ≤ H N by unfold H; omega)
have hs := Real.one_le_sqrt.mpr hH
intro heq
subst p
norm_num only [Nat.cast_ofNat] at hp
linarith
end InternalCatalan
end
namespace InternalCatalan
open Filter
theorem large_prime_cutoff_square {N p : ℕ}
(hp : 2 * Real.sqrt (H N) < (p : ℝ)) : 4 * H N < p ^ 2 := by
have hsq := Real.sq_sqrt (Nat.cast_nonneg (H N))
have hs := Real.sqrt_nonneg (H N)
have hr : (4 : ℝ) * (H N : ℝ) < (p : ℝ) ^ 2 := by
nlinarith [show (0 : ℝ) ≤ (p : ℝ) by positivity]
exact_mod_cast hr
theorem large_prime_cutoff_gt_fixed {B N p : ℕ} (hB : B ^ 2 ≤ N)
(hp : 2 * Real.sqrt (H N) < (p : ℝ)) : B < p := by
have hBH : B ^ 2 ≤ H N := by unfold H; omega
have hs : (B : ℝ) ≤ Real.sqrt (H N) :=
(Real.le_sqrt (Nat.cast_nonneg B) (Nat.cast_nonneg (H N))).mpr
(by exact_mod_cast hBH)
have hreal : (B : ℝ) < (p : ℝ) := by
linarith [Real.sqrt_nonneg (H N)]
exact_mod_cast hreal
theorem large_prime_witness_den_eventually (z : ℚ) :
∀ᶠ N : ℕ in atTop, ∀ p : ℕ,
2 * Real.sqrt (H N) < (p : ℝ) → (z.den : ZMod p) ≠ 0 := by
filter_upwards [eventually_ge_atTop (z.den ^ 2)] with N hN
intro p hp hz
have hden := large_prime_cutoff_gt_fixed hN hp
exact (Nat.not_dvd_of_pos_of_lt z.pos hden)
((ZMod.natCast_eq_zero_iff z.den p).mp hz)
end InternalCatalan
noncomputable section
namespace InternalCatalan
open Filter
open scoped Topology BigOperators
theorem oddPrimeLoss_large_prime_normalized_tendsto :
Tendsto (fun N : ℕ =>
(N : ℝ) *
(∑ p ∈ (Finset.Ioc 0 (H N)).filter
(fun p : ℕ => p.Prime ∧ 2 * Real.sqrt (H N) < (p : ℝ)),
oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) / (n N : ℝ) ^ 2)
atTop (𝓝 (8609 / 4608 : ℝ)) := by
have hs := oddPrimeLoss_large_prime_sum_tendsto.div_const (2304 : ℝ)
norm_num only [div_div, show (2 : ℝ) * 2304 = 4608 by norm_num] at hs
apply hs.congr'
filter_upwards [eventually_gt_atTop (0 : ℕ)] with N hN
have hNr : (N : ℝ) ≠ 0 := by exact_mod_cast (Nat.ne_of_gt hN)
simp only [n, Nat.cast_mul, Nat.cast_ofNat]
field_simp [hNr]
ring
theorem oddPrimeLoss_large_prime_normalized_eventually_upper {ε : ℝ} (hε : 0 < ε) :
∀ᶠ N : ℕ in atTop,
(N : ℝ) *
(∑ p ∈ (Finset.Ioc 0 (H N)).filter
(fun p : ℕ => p.Prime ∧ 2 * Real.sqrt (H N) < (p : ℝ)),
oddPrimeLoss ((p : ℝ) / N) * Real.log (p : ℝ)) / (n N : ℝ) ^ 2 <
(8609 / 4608 : ℝ) + ε :=
(tendsto_order.mp oddPrimeLoss_large_prime_normalized_tendsto).2 _ (by linarith)
end InternalCatalan
end
end OAI