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| import OAI.Analysis.FiniteFactor.Polynomial | |
| import OAI.Analysis.FiniteFactor.Convolution | |
| import Mathlib.Data.Int.Interval | |
| namespace OAI | |
| namespace FiniteFactor | |
| open scoped ComplexConjugate | |
| /-- Sum a row of the Laurent coefficient double sum using its unique possible | |
| second exponent. -/ | |
| theorem laurent_row_eq (K : ℕ) (A B : ℤ → ℂ) (r v : ℤ) : | |
| (∑ j : Fin (2*K+1), if v + ((j.val : ℤ)-K) = r then | |
| A v * B ((j.val : ℤ)-K) else 0) = | |
| if -(K : ℤ) ≤ r-v ∧ r-v ≤ K then A v * B (r-v) else 0 := by | |
| classical | |
| by_cases hv : -(K : ℤ) ≤ r-v ∧ r-v ≤ K | |
| · rw [ite_eq_left hv] | |
| let j : Fin (2*K+1) := ⟨(r-v+K).toNat, by omega⟩ | |
| have hj : (j.val : ℤ)-K = r-v := by dsimp [j]; omega | |
| rw [Finset.sum_eq_single j] | |
| · rw [hj, ite_eq_left (by omega)] | |
| · intro b _ hb | |
| apply ite_eq_right | |
| intro he | |
| apply hb | |
| apply Fin.ext | |
| have := b.isLt | |
| omega | |
| · simp | |
| · rw [ite_eq_right hv] | |
| apply Finset.sum_eq_zero | |
| intro j _ | |
| apply ite_eq_right | |
| intro he | |
| apply hv | |
| have := j.isLt | |
| omega | |
| /-- A finite subset of ℤ, exactly the two simultaneous coefficient cutoffs. -/ | |
| noncomputable def convolutionWindow (K : ℕ) (n : ℤ) : Finset ℤ := | |
| (Finset.Icc (-(K : ℤ)) K).filter (fun v => -(K : ℤ) ≤ -n-v ∧ -n-v ≤ K) | |
| theorem mem_convolutionWindow (K : ℕ) (n v : ℤ) : | |
| v ∈ convolutionWindow K n ↔ |v| ≤ (K : ℤ) ∧ |n+v| ≤ (K : ℤ) := by | |
| simp only [convolutionWindow, Finset.mem_filter, Finset.mem_Icc, abs_le] | |
| omega | |
| theorem not_mem_convolutionWindow (K : ℕ) (n v : ℤ) : | |
| v ∉ convolutionWindow K n ↔ (K : ℤ) < |v| ∨ (K : ℤ) < |n+v| := by | |
| rw [mem_convolutionWindow] | |
| omega | |
| theorem laurent_coefficient_eq_finite_convolution (K : ℕ) (A B : ℤ → ℂ) (n : ℤ) : | |
| laurentProductCoefficient K A B (-n) = | |
| ∑ v ∈ convolutionWindow K n, A v * B (-n-v) := by | |
| classical | |
| simp only [laurentProductCoefficient, laurent_row_eq] | |
| rw [convolutionWindow, Finset.sum_filter] | |
| apply Finset.sum_bij (fun i _ => (i.val : ℤ)-K) | |
| · intro i _ | |
| simp only [Finset.mem_Icc] | |
| have := i.isLt | |
| omega | |
| · intro i _ j _ hij | |
| apply Fin.ext | |
| omega | |
| · intro v hv | |
| simp only [Finset.mem_Icc] at hv | |
| refine ⟨⟨(v+K).toNat, by omega⟩, Finset.mem_univ _, ?_⟩ | |
| dsimp | |
| omega | |
| · intro i _ | |
| rfl | |
| /-- A zero absolutely convergent convolution forces the exact finite Laurent | |
| coefficient to be the negative complementary tail. -/ | |
| theorem laurent_coefficient_eq_neg_tail (K : ℕ) (A B : ℤ → ℂ) (n : ℤ) | |
| (hs : Summable (fun v => A v * B (-n-v))) | |
| (hz : ∑' v, A v * B (-n-v) = 0) : | |
| laurentProductCoefficient K A B (-n) = | |
| -(∑' v : {v : ℤ // v ∉ convolutionWindow K n}, A v * B (-n-v)) := by | |
| rw [laurent_coefficient_eq_finite_convolution] | |
| exact finite_part_eq_neg_tail hs hz _ | |
| /-- The corresponding absolute tail bound used in error-pointwise. -/ | |
| theorem laurent_coefficient_norm_le_tail (K : ℕ) (A B : ℤ → ℂ) (n : ℤ) | |
| (hs : Summable (fun v => ‖A v * B (-n-v)‖)) | |
| (hz : ∑' v, A v * B (-n-v) = 0) : | |
| ‖laurentProductCoefficient K A B (-n)‖ ≤ | |
| ∑' v : {v : ℤ // v ∉ convolutionWindow K n}, ‖A v * B (-n-v)‖ := by | |
| rw [laurent_coefficient_eq_finite_convolution] | |
| exact finite_part_norm_le_tail hs hz _ | |
| /-- The full pointwise error estimate. The two exceptional masks remain | |
| separate and each is summed over all of ℤ; no union bound is introduced. -/ | |
| theorem laurent_error_pointwise (K : ℕ) (n : ℤ) | |
| (ξ γ : lp (fun _ : ℤ => ℂ) 2) {F G : ℤ → ℝ} | |
| (hF : ∀ k, 0 < F k) (hG : ∀ k, 0 < G k) | |
| (hFa : Antitone F) (hGa : Antitone G) (hGF : ∀ k, G k ≤ F k) | |
| (hn : 0 ≤ n) {H₁ H₂ : Set ℤ} {ε : ℝ} (hε : 0 ≤ ε) | |
| (hz : ∑' v, leftCoefficient F ξ v * rightCoefficient G γ (-n-v) = 0) | |
| (hR : ∀ v, v ∉ convolutionWindow K n → | |
| G (n+v) / F v ≤ ε + H₁.indicator (fun _ => 1) v + | |
| H₂.indicator (fun _ => 1) v) : | |
| ‖laurentProductCoefficient K (leftCoefficient F ξ) (rightCoefficient G γ) (-n)‖ ≤ | |
| ε * (‖ξ‖ * ‖γ‖) + | |
| (∑' v, H₁.indicator (fun v => ‖ξ v‖ * ‖γ (n+v)‖) v) + | |
| (∑' v, H₂.indicator (fun v => ‖ξ v‖ * ‖γ (n+v)‖) v) := by | |
| classical | |
| let p : ℤ → ℝ := fun v => ‖ξ v‖ * ‖γ (n+v)‖ | |
| have hp0 : ∀ v, 0 ≤ p v := fun v => mul_nonneg (norm_nonneg _) (norm_nonneg _) | |
| obtain ⟨hp, hpbound⟩ := shifted_l2_norm_product ξ γ n | |
| change Summable p at hp | |
| change (∑' v, p v) ≤ ‖ξ‖ * ‖γ‖ at hpbound | |
| have hmask : ∀ H : Set ℤ, Summable (H.indicator p) := by | |
| intro H | |
| apply hp.of_nonneg_of_le | |
| · intro v | |
| by_cases hv : v ∈ H <;> simp [hv, hp0] | |
| · intro v | |
| by_cases hv : v ∈ H <;> simp [hv, hp0] | |
| let b : ℤ → ℝ := fun v => ε * p v + H₁.indicator p v + H₂.indicator p v | |
| have hb : Summable b := ((hp.mul_left ε).add (hmask H₁)).add (hmask H₂) | |
| have hb0 : ∀ v, 0 ≤ b v := by | |
| intro v | |
| dsimp [b] | |
| have h₁ : 0 ≤ H₁.indicator p v := by by_cases hv : v ∈ H₁ <;> simp [hv, hp0] | |
| have h₂ : 0 ≤ H₂.indicator p v := by by_cases hv : v ∈ H₂ <;> simp [hv, hp0] | |
| exact add_nonneg (add_nonneg (mul_nonneg hε (hp0 v)) h₁) h₂ | |
| have hterm : ∀ v, v ∉ convolutionWindow K n → | |
| ‖leftCoefficient F ξ v * rightCoefficient G γ (-n-v)‖ ≤ b v := by | |
| intro v hv | |
| rw [cocycle_convolution_term_eq] | |
| have hr : 0 ≤ G (n+v) / F v := (div_pos (hG _) (hF _)).le | |
| simp only [norm_mul, RCLike.norm_conj, Complex.norm_real, Real.norm_eq_abs, | |
| abs_of_nonneg hr] | |
| calc | |
| G (n+v) / F v * ‖ξ v‖ * ‖γ (n+v)‖ = (G (n+v) / F v) * p v := by dsimp [p]; ring | |
| _ ≤ (ε + H₁.indicator (fun _ => 1) v + H₂.indicator (fun _ => 1) v) * p v := | |
| mul_le_mul_of_nonneg_right (hR v hv) (hp0 v) | |
| _ = b v := by | |
| dsimp [b] | |
| by_cases h₁ : v ∈ H₁ <;> by_cases h₂ : v ∈ H₂ <;> simp [h₁, h₂] <;> ring | |
| have hs := (cocycle_convolution_absolute_convergence ξ γ hF hG hFa hGa hGF hn).1 | |
| calc | |
| ‖laurentProductCoefficient K (leftCoefficient F ξ) (rightCoefficient G γ) (-n)‖ ≤ | |
| ∑' v : {v : ℤ // v ∉ convolutionWindow K n}, | |
| ‖leftCoefficient F ξ v * rightCoefficient G γ (-n-v)‖ := | |
| laurent_coefficient_norm_le_tail K _ _ n hs hz | |
| _ ≤ ∑' v : {v : ℤ // v ∉ convolutionWindow K n}, b v := | |
| (hs.subtype _).tsum_le_tsum (fun v => hterm v v.property) (hb.subtype _) | |
| _ ≤ ∑' v, b v := hb.tsum_subtype_le _ _ hb0 | |
| _ = ε * (∑' v, p v) + (∑' v, H₁.indicator p v) + (∑' v, H₂.indicator p v) := by | |
| change (∑' v, (ε * p v + H₁.indicator p v + H₂.indicator p v)) = _ | |
| rw [Summable.tsum_add ((hp.mul_left ε).add (hmask H₁)) (hmask H₂), | |
| Summable.tsum_add (hp.mul_left ε) (hmask H₁), tsum_mul_left] | |
| _ ≤ _ := by | |
| change ε * (∑' v, p v) + (∑' v, H₁.indicator p v) + (∑' v, H₂.indicator p v) ≤ | |
| ε * (‖ξ‖ * ‖γ‖) + (∑' v, H₁.indicator p v) + (∑' v, H₂.indicator p v) | |
| linarith [mul_le_mul_of_nonneg_left hpbound hε] | |
| end FiniteFactor | |
| end OAI | |