import Mathlib namespace OAI noncomputable section open MeasureTheory ProbabilityTheory Filter Set open scoped Topology namespace HoneycombLocal lemma norm_iteratedDeriv_charFun_le {μ : Measure ℝ} [IsFiniteMeasure μ] {n : ℕ} (h : MemLp id n μ) (t : ℝ) : ‖iteratedDeriv n (charFun μ) t‖ ≤ ∫ x, ‖x‖ ^ n ∂μ := by rw [iteratedDeriv_charFun h, norm_mul, norm_pow, Complex.norm_I, one_pow, one_mul] refine (norm_integral_le_integral_norm _).trans_eq ?_ congr 1 ext x simp only [norm_mul, norm_pow, Complex.norm_real] rw [← Complex.ofReal_mul, Complex.norm_exp_ofReal_mul_I, mul_one] lemma taylorWithinEval_eq_univ {f : ℝ → ℂ} {t : ℝ} (ht : 0 < t) (hf : ContDiff ℝ 3 f) : taylorWithinEval f 2 (Icc 0 t) 0 t = taylorWithinEval f 2 univ 0 t := by simp only [taylor_within_apply] apply Finset.sum_congr rfl intro k hk have hk3 : k ≤ 3 := by have := Finset.mem_range.mp hk; omega have hd : ContDiffAt ℝ k f 0 := hf.contDiffAt.of_le (by exact_mod_cast hk3) rw [iteratedDerivWithin_eq_iteratedDeriv (uniqueDiffOn_Icc ht) hd ⟨le_rfl, ht.le⟩, iteratedDerivWithin_eq_iteratedDeriv uniqueDiffOn_univ hd (mem_univ 0)] lemma taylor_charFun_bound_nonneg {μ : Measure ℝ} [IsProbabilityMeasure μ] (h3 : MemLp id 3 μ) (hmean : ∫ x, x ∂μ = 0) {t : ℝ} (ht : 0 ≤ t) : ‖charFun μ t - (1 - ((∫ x, x ^ 2 ∂μ : ℝ) : ℂ) * (t : ℂ) ^ 2 / 2)‖ ≤ (∫ x, ‖x‖ ^ 3 ∂μ) * t ^ 3 / 2 := by rcases ht.eq_or_lt with rfl | ht · simp have hc : ContDiff ℝ 3 (charFun μ) := contDiff_charFun h3 have h2 : MemLp id 2 μ := h3.mono_exponent (by norm_num) have h := taylor_mean_remainder_bound (n := 2) (a := 0) (b := t) (C := ∫ x, ‖x‖ ^ 3 ∂μ) ht.le hc.contDiffOn ⟨ht.le, le_rfl⟩ (by intro y hy rw [iteratedDerivWithin_eq_iteratedDeriv (uniqueDiffOn_Icc ht) hc.contDiffAt hy] exact norm_iteratedDeriv_charFun_le h3 y) rw [taylorWithinEval_eq_univ ht hc] at h have htaylor := taylorWithinEval_charFun_two_zero (P := μ) (X := id) aemeasurable_id (by simpa using h2) t simp only [Measure.map_id, id_eq, Pi.pow_apply, hmean, Complex.ofReal_zero, zero_mul, add_zero] at htaylor rw [htaylor] at h simpa using h lemma taylor_charFun_bound {μ : Measure ℝ} [IsProbabilityMeasure μ] (h3 : MemLp id 3 μ) (hmean : ∫ x, x ∂μ = 0) (t : ℝ) : ‖charFun μ t - (1 - ((∫ x, x ^ 2 ∂μ : ℝ) : ℂ) * (t : ℂ) ^ 2 / 2)‖ ≤ (∫ x, ‖x‖ ^ 3 ∂μ) * |t| ^ 3 / 2 := by by_cases ht : 0 ≤ t · simpa [abs_of_nonneg ht] using taylor_charFun_bound_nonneg h3 hmean ht · have ht' : 0 ≤ -t := by linarith have h := taylor_charFun_bound_nonneg h3 hmean ht' have heq : charFun μ (-t) - (1 - ((∫ x, x ^ 2 ∂μ : ℝ) : ℂ) * ((-t : ℝ) : ℂ) ^ 2 / 2) = star (charFun μ t - (1 - ((∫ x, x ^ 2 ∂μ : ℝ) : ℂ) * (t : ℂ) ^ 2 / 2)) := by simp [charFun_neg] rw [heq, norm_star] at h simpa [abs_of_neg (lt_of_not_ge ht)] using h lemma norm_pow_difference {z w : ℂ} (hz : ‖z‖ ≤ 1) (hw : ‖w‖ ≤ 1) (k : ℕ) : ‖z ^ k - w ^ k‖ ≤ k * ‖z - w‖ := by induction k with | zero => simp | succ k hk => calc ‖z ^ (k + 1) - w ^ (k + 1)‖ = ‖z * (z ^ k - w ^ k) + (z - w) * w ^ k‖ := by congr 1; ring _ ≤ ‖z * (z ^ k - w ^ k)‖ + ‖(z - w) * w ^ k‖ := norm_add_le _ _ _ = ‖z‖ * ‖z ^ k - w ^ k‖ + ‖z - w‖ * ‖w‖ ^ k := by simp [norm_pow] _ ≤ 1 * (k * ‖z - w‖) + ‖z - w‖ * 1 := by gcongr exact pow_le_one₀ (norm_nonneg _) hw _ = (k + 1 : ℕ) * ‖z - w‖ := by push_cast; ring lemma exp_neg_error_le {y : ℝ} (hy : 0 ≤ y) (hy1 : y ≤ 1) : ‖Complex.exp (-(y : ℂ)) - (1 - (y : ℂ))‖ ≤ y ^ 2 := by have h := Complex.norm_exp_sub_one_sub_id_le (x := -(y : ℂ)) (by simpa [abs_of_nonneg hy] using hy1) convert h using 1 · congr 1; ring · simp [abs_of_nonneg hy] lemma gaussian_power_error {μ : Measure ℝ} [IsProbabilityMeasure μ] (h3 : MemLp id 3 μ) (hmean : ∫ x, x ∂μ = 0) (k : ℕ) (t : ℝ) (hsmall : (∫ x, x ^ 2 ∂μ) * t ^ 2 / 2 ≤ 1) : ‖charFun μ t ^ k - Complex.exp (-((k : ℂ) * ((∫ x, x ^ 2 ∂μ : ℝ) : ℂ) * (t : ℂ) ^ 2 / 2))‖ ≤ k * ((∫ x, ‖x‖ ^ 3 ∂μ) * |t| ^ 3 / 2 + ((∫ x, x ^ 2 ∂μ) * t ^ 2 / 2) ^ 2) := by let v : ℝ := ∫ x, x ^ 2 ∂μ let y : ℝ := v * t ^ 2 / 2 have hv : 0 ≤ v := integral_nonneg (fun x => sq_nonneg x) have hy : 0 ≤ y := by dsimp [y]; positivity have hnorm : ‖Complex.exp (-(y : ℂ))‖ ≤ 1 := by rw [← Complex.ofReal_neg, Complex.norm_exp_ofReal] exact Real.exp_le_one_iff.mpr (neg_nonpos.mpr hy) have hdiff : ‖charFun μ t - Complex.exp (-(y : ℂ))‖ ≤ (∫ x, ‖x‖ ^ 3 ∂μ) * |t| ^ 3 / 2 + y ^ 2 := by refine (norm_sub_le_norm_sub_add_norm_sub (charFun μ t) (1 - (y : ℂ)) (Complex.exp (-(y : ℂ)))).trans ?_ apply add_le_add · simpa [y, v] using taylor_charFun_bound h3 hmean t · rw [norm_sub_rev] exact exp_neg_error_le hy hsmall have hpow := (norm_pow_difference (norm_charFun_le_one t) hnorm k).trans (mul_le_mul_of_nonneg_left hdiff (Nat.cast_nonneg k)) have heq : Complex.exp (-(y : ℂ)) ^ k = Complex.exp (-((k : ℂ) * (v : ℂ) * (t : ℂ) ^ 2 / 2)) := by rw [← Complex.exp_nat_mul] congr 1 simp only [y, Complex.ofReal_div, Complex.ofReal_mul, Complex.ofReal_pow, Complex.ofReal_ofNat] ring rw [heq] at hpow exact hpow lemma normalized_gaussian_power_error {μ : Measure ℝ} [IsProbabilityMeasure μ] (h3 : MemLp id 3 μ) (hmean : ∫ x, x ∂μ = 0) {k : ℕ} (hk : 0 < k) {σ : ℝ} (hσ : 0 < σ) (hvariance : σ ^ 2 = k * ∫ x, x ^ 2 ∂μ) (t : ℝ) (hsmall : t ^ 2 ≤ 2 * k) : ‖charFun μ (t / σ) ^ k - Complex.exp (-((t : ℂ) ^ 2 / 2))‖ ≤ ((k : ℝ) * (∫ x, ‖x‖ ^ 3 ∂μ) / σ ^ 3) * |t| ^ 3 / 2 + t ^ 4 / (4 * k) := by have hk' : (0 : ℝ) < k := by exact_mod_cast hk have heq : (∫ x, x ^ 2 ∂μ) * (t / σ) ^ 2 / 2 = t ^ 2 / (2 * k) := by field_simp nlinarith [hvariance] have h := gaussian_power_error h3 hmean k (t / σ) (by rw [heq]; exact (div_le_one (by positivity)).2 hsmall) have hexp : -((k : ℂ) * ((∫ x, x ^ 2 ∂μ : ℝ) : ℂ) * ((t / σ : ℝ) : ℂ) ^ 2 / 2) = -((t : ℂ) ^ 2 / 2) := by have hvr : (∫ x, x ^ 2 ∂μ) = σ ^ 2 / k := by exact (eq_div_iff (ne_of_gt hk')).2 (by simpa [mul_comm] using hvariance.symm) rw [hvr] push_cast have hkC : (k : ℂ) ≠ 0 := by exact_mod_cast hk.ne' have hσC : (σ : ℂ) ≠ 0 := by exact_mod_cast hσ.ne' field_simp rw [hexp, heq] at h convert h using 1 rw [abs_div, abs_of_pos hσ] field_simp ring end HoneycombLocal end end OAI