roseking's picture
Add lean source and binary files (part 114)
a72760f verified
Raw History Blame Contribute Delete
10.5 kB
import Mathlib
import OAI.NumberTheory.PiExponent.Analysis.AnalyticCollision
import OAI.NumberTheory.PiExponent.Approximation.RowTranslation
namespace OAI
open scoped BigOperators
namespace PiExponent.LogTailAnalytic
noncomputable def logTail (T : ℕ) (z : ℂ) : ℂ :=
Complex.logTaylor T z - Complex.log (1 + z)
theorem eval_trunc_log (T : ℕ) (z : ℂ) :
(PowerSeries.trunc T (PowerSeries.log ℂ)).eval z = Complex.logTaylor T z := by
change (PowerSeries.trunc T (PowerSeries.log ℂ)).eval₂ (RingHom.id ℂ) z = _
rw [PowerSeries.eval₂_trunc_eq_sum_range]
unfold Complex.logTaylor
apply Finset.sum_congr rfl
intro n hn
simp only [RingHom.id_apply, PowerSeries.coeff_log]
by_cases h : n = 0
· simp [h]
· simp [h, map_div₀, map_pow]
ring
theorem analyticAt_logTail (T : ℕ) {z : ℂ} (hz : ‖z‖ < 1) :
AnalyticAt ℂ (logTail T) z := by
unfold logTail Complex.logTaylor
apply AnalyticAt.sub
· apply Finset.analyticAt_fun_sum
intro n hn
fun_prop
· exact (analyticAt_const.add analyticAt_id).clog (Complex.mem_slitPlane_of_norm_lt_one hz)
theorem norm_logTail_le (T : ℕ) (hT : 1 ≤ T) {z : ℂ} (hz : ‖z‖ < 1) :
‖logTail T z‖ ≤ ‖z‖ ^ T * (1 - ‖z‖)⁻¹ / T := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (by omega : T ≠ 0)
unfold logTail
rw [norm_sub_rev]
simpa only [Nat.succ_eq_add_one, Nat.cast_add, Nat.cast_one] using
Complex.norm_log_sub_logTaylor_le n hz
theorem norm_logTail_le_one (T : ℕ) (hT : 1 ≤ T) {z : ℂ} (hz : ‖z‖ ≤ 1 / 2) :
‖logTail T z‖ ≤ 1 := by
have hz1 : ‖z‖ < 1 := by linarith
have hpow : ‖z‖ ^ T ≤ 1 / 2 := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (by omega : T ≠ 0)
rw [pow_succ]
have hh : ‖z‖ ^ n ≤ 1 := pow_le_one₀ (norm_nonneg z) hz1.le
nlinarith [norm_nonneg z]
have hinv : (1 - ‖z‖)⁻¹ ≤ 2 := by
rw [inv_le_comm₀ (by linarith : 0 < 1 - ‖z‖) (by norm_num : (0 : ℝ) < 2)]
linarith
have hTreal : (1 : ℝ) ≤ T := by exact_mod_cast hT
calc
‖logTail T z‖ ≤ ‖z‖ ^ T * (1 - ‖z‖)⁻¹ / T := norm_logTail_le T hT hz1
_ ≤ (1 / 2 : ℝ) * 2 / T := by gcongr
_ ≤ 1 := by rw [div_le_iff₀ (by positivity : (0 : ℝ) < T)]; nlinarith
theorem norm_prod_logTail_le_one {ι : Type*} (s : Finset ι) (T d : ι → ℕ)
(hT : ∀ i ∈ s, 1 ≤ T i) {z : ℂ} (hz : ‖z‖ ≤ 1 / 2) :
‖∏ i ∈ s, logTail (T i) z ^ d i‖ ≤ 1 := by
rw [norm_prod]
apply Finset.prod_le_one₀
· intro i hi
positivity
· intro i hi
rw [norm_pow]
exact pow_le_one₀ (norm_nonneg _) (norm_logTail_le_one (T i) (hT i hi) hz)
theorem analyticAt_prod_logTail {ι : Type*} (s : Finset ι) (T d : ι → ℕ)
{z : ℂ} (hz : ‖z‖ < 1) :
AnalyticAt ℂ (fun t => ∏ i ∈ s, logTail (T i) t ^ d i) z := by
apply Finset.analyticAt_fun_prod
intro i hi
exact (analyticAt_logTail (T i) hz).pow (d i)
theorem norm_rowTest_prod_logTail_le {ι : Type*} (s : Finset ι) (T d : ι → ℕ)
(hT : ∀ i ∈ s, 1 ≤ T i) (k : ℕ) :
‖AnalyticCollision.rowTest k (fun z => ∏ i ∈ s, logTail (T i) z ^ d i)‖ ≤
(2 : ℝ) ^ k := by
have h := AnalyticCollision.norm_rowTest_le
(f := fun z => ∏ i ∈ s, logTail (T i) z ^ d i) (D := 1) ?_ k
· simpa only [mul_one] using h
intro z hz
apply norm_prod_logTail_le_one s T d hT
exact (by simpa only [Metric.mem_sphere, dist_zero_right] using hz : ‖z‖ = 1 / 2).le
theorem logTail_isBigO (T : ℕ) (hT : 1 ≤ T) :
(fun z => logTail T z) =O[nhds (0 : ℂ)] (fun z => z ^ T) := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (by omega : T ≠ 0)
have h := (Complex.log_sub_logTaylor_isBigO n).neg_left
simpa only [logTail, neg_sub, Nat.succ_eq_add_one] using h
theorem order_formal_logTail (T : ℕ) :
(T : ℕ∞) ≤ (RowTranslation.tail T (PowerSeries.log ℂ)).order :=
RowTranslation.order_tail T (PowerSeries.log ℂ)
theorem hasSum_formal_log {z : ℂ} (hz : ‖z‖ < 1) :
HasSum (fun n => PowerSeries.coeff n (PowerSeries.log ℂ) * z ^ n)
(Complex.log (1 + z)) := by
convert Complex.hasSum_taylorSeries_log hz using 1
funext n
by_cases hn : n = 0
· simp [hn]
· simp [PowerSeries.coeff_log, hn, map_div₀, map_pow]
ring
theorem hasSum_trunc_log (T : ℕ) (z : ℂ) :
HasSum (fun n => PowerSeries.coeff n
(PowerSeries.trunc T (PowerSeries.log ℂ) : PowerSeries ℂ) * z ^ n)
(Complex.logTaylor T z) := by
have h := hasSum_sum_of_ne_finset_zero (L := SummationFilter.unconditional ℕ)
(s := Finset.range T)
(f := fun n => PowerSeries.coeff n
(PowerSeries.trunc T (PowerSeries.log ℂ) : PowerSeries ℂ) * z ^ n) ?_
· convert h using 1
rw [← eval_trunc_log]
change (PowerSeries.trunc T (PowerSeries.log ℂ)).eval₂ (RingHom.id ℂ) z = _
rw [PowerSeries.eval₂_trunc_eq_sum_range]
apply Finset.sum_congr rfl
intro n hn
simp [PowerSeries.coeff_trunc, Finset.mem_range.mp hn]
· intro n hn
have hn' : ¬ n < T := by simpa only [Finset.mem_range] using hn
simp [PowerSeries.coeff_trunc, hn']
theorem hasSum_formal_logTail (T : ℕ) {z : ℂ} (hz : ‖z‖ < 1) :
HasSum (fun n => PowerSeries.coeff n
(RowTranslation.tail T (PowerSeries.log ℂ)) * z ^ n) (logTail T z) := by
convert (hasSum_trunc_log T z).sub (hasSum_formal_log hz) using 1
· funext n
simp only [RowTranslation.tail, map_sub, sub_mul]
· rfl
theorem hasFPowerSeriesAt_logTail (T : ℕ) :
HasFPowerSeriesAt (logTail T)
(FormalMultilinearSeries.ofScalars ℂ
(fun n => PowerSeries.coeff n (RowTranslation.tail T (PowerSeries.log ℂ)))) 0 := by
rw [hasFPowerSeriesAt_iff]
filter_upwards [Metric.ball_mem_nhds (0 : ℂ) (by norm_num : (0 : ℝ) < 1)] with z hz
have hn : ‖z‖ < 1 := by simpa only [Metric.mem_ball, dist_zero_right] using hz
simpa only [FormalMultilinearSeries.coeff_ofScalars, zero_add, smul_eq_mul, mul_comm] using
hasSum_formal_logTail T hn
theorem hasSum_coeff_mul {f g : PowerSeries ℂ} {x y z : ℂ}
(hf : HasSum (fun n => PowerSeries.coeff n f * z ^ n) x)
(hg : HasSum (fun n => PowerSeries.coeff n g * z ^ n) y) :
HasSum (fun n => PowerSeries.coeff n (f * g) * z ^ n) (x * y) := by
have hfn := hf.summable.norm
have hgn := hg.summable.norm
have hs := (summable_norm_sum_mul_antidiagonal_of_summable_norm hfn hgn).of_norm.hasSum
have heq := tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm hfn hgn
rw [hf.tsum_eq, hg.tsum_eq] at heq
rw [← heq] at hs
convert hs using 1
funext n
rw [PowerSeries.coeff_mul, Finset.sum_mul]
apply Finset.sum_congr rfl
intro a ha
have he : a.1 + a.2 = n := Finset.HasAntidiagonal.mem_antidiagonal.mp ha
rw [← he, pow_add]
ring
theorem hasSum_coeff_one (z : ℂ) :
HasSum (fun n => PowerSeries.coeff n (1 : PowerSeries ℂ) * z ^ n) 1 := by
convert hasSum_ite_eq 0 (1 : ℂ) using 1
funext n
by_cases hn : n = 0 <;> simp [PowerSeries.coeff_one, hn]
theorem hasSum_coeff_pow {f : PowerSeries ℂ} {x z : ℂ}
(hf : HasSum (fun n => PowerSeries.coeff n f * z ^ n) x) (d : ℕ) :
HasSum (fun n => PowerSeries.coeff n (f ^ d) * z ^ n) (x ^ d) := by
induction d with
| zero => simpa only [pow_zero] using hasSum_coeff_one z
| succ d hd => simpa only [pow_succ] using hasSum_coeff_mul hd hf
theorem hasSum_formal_prod_logTail {ι : Type*} (s : Finset ι) (T d : ι → ℕ)
{z : ℂ} (hz : ‖z‖ < 1) :
HasSum (fun n => PowerSeries.coeff n
(∏ i ∈ s, RowTranslation.tail (T i) (PowerSeries.log ℂ) ^ d i) * z ^ n)
(∏ i ∈ s, logTail (T i) z ^ d i) := by
classical
induction s using Finset.induction_on with
| empty => simpa only [Finset.prod_empty] using hasSum_coeff_one z
| @insert i s hi hs =>
simpa only [Finset.prod_insert hi] using
hasSum_coeff_mul (hasSum_coeff_pow (hasSum_formal_logTail (T i) hz) (d i)) hs
theorem hasFPowerSeriesAt_prod_logTail {ι : Type*} (s : Finset ι) (T d : ι → ℕ) :
HasFPowerSeriesAt (fun z => ∏ i ∈ s, logTail (T i) z ^ d i)
(FormalMultilinearSeries.ofScalars ℂ
(fun n => PowerSeries.coeff n
(∏ i ∈ s, RowTranslation.tail (T i) (PowerSeries.log ℂ) ^ d i))) 0 := by
rw [hasFPowerSeriesAt_iff]
filter_upwards [Metric.ball_mem_nhds (0 : ℂ) (by norm_num : (0 : ℝ) < 1)] with z hz
have hn : ‖z‖ < 1 := by simpa only [Metric.mem_ball, dist_zero_right] using hz
simpa only [FormalMultilinearSeries.coeff_ofScalars, zero_add, smul_eq_mul, mul_comm] using
hasSum_formal_prod_logTail s T d hn
theorem rowTest_prod_logTail_eq_coeff {ι : Type*} (s : Finset ι) (T d : ι → ℕ) (k : ℕ) :
AnalyticCollision.rowTest k (fun z => ∏ i ∈ s, logTail (T i) z ^ d i) =
PowerSeries.coeff k (∏ i ∈ s, RowTranslation.tail (T i) (PowerSeries.log ℂ) ^ d i) := by
have hd : DifferentiableOn ℂ (fun z => ∏ i ∈ s, logTail (T i) z ^ d i)
(Metric.closedBall 0 (1 / 2)) := by
intro z hz
apply (analyticAt_prod_logTail s T d ?_).differentiableAt.differentiableWithinAt
have hz' : ‖z‖ ≤ 1 / 2 := by simpa only [Metric.mem_closedBall, dist_zero_right] using hz
linarith
have hp := hd.hasFPowerSeriesOnBall (R := (1 / 2 : NNReal)) (by norm_num)
have he := hp.hasFPowerSeriesAt.eq_formalMultilinearSeries
(hasFPowerSeriesAt_prod_logTail s T d)
have hh := congrArg (fun p : FormalMultilinearSeries ℂ ℂ ℂ => p k (fun _ => 1)) he
simpa only [AnalyticCollision.rowTest, FormalMultilinearSeries.apply_eq_prod_smul_coeff,
Finset.prod_const_one, one_smul, FormalMultilinearSeries.coeff_ofScalars,
NNReal.coe_div, NNReal.coe_one, NNReal.coe_ofNat] using hh
theorem norm_coeff_prod_formal_logTail_le {ι : Type*} (s : Finset ι) (T d : ι → ℕ)
(hT : ∀ i ∈ s, 1 ≤ T i) (k : ℕ) :
‖PowerSeries.coeff k (∏ i ∈ s, RowTranslation.tail (T i) (PowerSeries.log ℂ) ^ d i)‖ ≤
(2 : ℝ) ^ k := by
rw [← rowTest_prod_logTail_eq_coeff]
exact norm_rowTest_prod_logTail_le s T d hT k
theorem rowTest_tail_budget {ι : Type*} (s : Finset ι) (T d : ι → ℕ) (k : ℕ)
(hk : AnalyticCollision.rowTest k (fun z => ∏ i ∈ s, logTail (T i) z ^ d i) ≠ 0) :
∑ i ∈ s, d i * T i ≤ k := by
rw [rowTest_prod_logTail_eq_coeff] at hk
exact RowTranslation.tail_budget_nat s T d (fun _ => PowerSeries.log ℂ) k hk
end PiExponent.LogTailAnalytic
end OAI