openAI-math-dataset / lean /OAI /Analysis /IrrationalRotation /Rotation /CircleKernelConvolution.lean
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import OAI.Analysis.IrrationalRotation.Sampling.FourierSampling
namespace OAI
noncomputable section
open MeasureTheory
open scoped BigOperators
namespace Invariant233.CircleKernelConvolution
local instance : IsProbabilityMeasure (volume : Measure UnitAddCircle) := by
rw [AddCircle.volume_eq_smul_haarAddCircle]
norm_num
infer_instance
def convolution (k : C(UnitAddCircle, ℝ)) (f : UnitAddCircle → ℝ)
(x : UnitAddCircle) : ℝ := ∫ y, k (x - y) * f y
theorem integrable_unit_bounded {f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) : Integrable f volume := by
apply Integrable.of_bound hf.aestronglyMeasurable 1
exact Filter.Eventually.of_forall fun x => by simpa [Real.norm_eq_abs, abs_of_nonneg (hf0 x)] using hf1 x
theorem integrable_kernel (k : C(UnitAddCircle, ℝ)) : Integrable k volume := by
apply Integrable.of_bound k.measurable.aestronglyMeasurable ‖k‖
exact Filter.Eventually.of_forall k.norm_coe_le_norm
theorem integrable_convolution_integrand (k : C(UnitAddCircle, ℝ))
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (x : UnitAddCircle) :
Integrable (fun y => k (x - y) * f y) volume := by
apply Integrable.of_bound
((k.measurable.comp (measurable_const.sub measurable_id)).mul hf).aestronglyMeasurable ‖k‖
filter_upwards with y
change ‖k (x - y) * f y‖ ≤ ‖k‖
rw [norm_mul, Real.norm_eq_abs (f y), abs_of_nonneg (hf0 y)]
calc
‖k (x - y)‖ * f y ≤ ‖k (x - y)‖ * 1 :=
mul_le_mul_of_nonneg_left (hf1 y) (norm_nonneg _)
_ ≤ ‖k‖ := by simpa using k.norm_coe_le_norm (x - y)
theorem convolution_bounds (k : C(UnitAddCircle, ℝ))
(hk0 : ∀ x, 0 ≤ k x) (hkmass : ∫ x, k x = 1)
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (x : UnitAddCircle) :
0 ≤ convolution k f x ∧ convolution k f x ≤ 1 := by
constructor
· exact integral_nonneg fun y => mul_nonneg (hk0 _) (hf0 _)
· have hki : Integrable (fun y => k (x - y)) volume := by
apply Integrable.of_bound
(k.measurable.comp (measurable_const.sub measurable_id)).aestronglyMeasurable ‖k‖
exact Filter.Eventually.of_forall fun y => k.norm_coe_le_norm _
calc
convolution k f x ≤ ∫ y, k (x - y) := by
apply integral_mono (integrable_convolution_integrand k hf hf0 hf1 x) hki
intro y
exact mul_le_of_le_one_right (hk0 _) (hf1 _)
_ = ∫ y, k y := integral_sub_left_eq_self k volume x
_ = 1 := hkmass
theorem integrable_joint (k : C(UnitAddCircle, ℝ))
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) :
Integrable (fun p : UnitAddCircle × UnitAddCircle => k (p.1 - p.2) * f p.2)
(volume.prod volume) := by
apply Integrable.of_bound
((k.measurable.comp (measurable_fst.sub measurable_snd)).mul
(hf.comp measurable_snd)).aestronglyMeasurable ‖k‖
filter_upwards with p
change ‖k (p.1 - p.2) * f p.2‖ ≤ ‖k‖
rw [norm_mul, Real.norm_eq_abs (f p.2), abs_of_nonneg (hf0 p.2)]
calc
‖k (p.1 - p.2)‖ * f p.2 ≤ ‖k (p.1 - p.2)‖ * 1 :=
mul_le_mul_of_nonneg_left (hf1 _) (norm_nonneg _)
_ ≤ ‖k‖ := by simpa using k.norm_coe_le_norm _
theorem integral_convolution (k : C(UnitAddCircle, ℝ))
(hkmass : ∫ x, k x = 1) {f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) :
(∫ x, convolution k f x) = ∫ x, f x := by
unfold convolution
rw [integral_integral_swap (integrable_joint k hf hf0 hf1)]
simp_rw [integral_mul_const]
simp_rw [integral_sub_right_eq_self k, hkmass, one_mul]
theorem fourier_sub_argument (v : ℤ) (x y : UnitAddCircle) :
fourier v (x - y) = fourier v x * fourier (-v) y := by
simp [fourier_apply, sub_eq_add_neg, AddCircle.toCircle_add]
def testCoefficient (f : UnitAddCircle → ℝ) (v : ℤ) : ℂ :=
∫ y, fourier (-v) y * (f y : ℂ)
theorem integrable_test_character {f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (v : ℤ) :
Integrable (fun y => fourier v y * (f y : ℂ)) volume := by
apply Integrable.of_bound
((fourier v).measurable.mul (Complex.measurable_ofReal.comp hf)).aestronglyMeasurable 1
filter_upwards with y
have hv : ‖fourier v y‖ = 1 := by simp [fourier_apply]
change ‖fourier v y * (f y : ℂ)‖ ≤ 1
rw [norm_mul, hv, one_mul, Complex.norm_real, Real.norm_eq_abs, abs_of_nonneg (hf0 y)]
exact hf1 y
theorem norm_testCoefficient_le_one {f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (v : ℤ) :
‖testCoefficient f v‖ ≤ 1 := by
apply (norm_integral_le_integral_norm _).trans
have h := integral_mono (integrable_test_character hf hf0 hf1 (-v)).norm
(integrable_const (1 : ℝ)) (fun y => ?_)
· simpa using h
· have hv : ‖fourier (-v) y‖ = 1 := by simp [fourier_apply]
rw [norm_mul, hv, one_mul, Complex.norm_real, Real.norm_eq_abs, abs_of_nonneg (hf0 y)]
exact hf1 y
@[simp] theorem testCoefficient_zero (f : UnitAddCircle → ℝ) :
testCoefficient f 0 = (∫ y, f y : ℝ) := by
simp [testCoefficient, integral_complex_ofReal]
theorem convolution_eq_polynomial (k : C(UnitAddCircle, ℝ))
(s : Finset ℤ) (c : ℤ → ℂ)
(hk : ∀ x, (k x : ℂ) = FourierSampling.polynomial s c x)
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (x : UnitAddCircle) :
(convolution k f x : ℂ) = FourierSampling.polynomial s
(fun v => c v * testCoefficient f v) x := by
rw [convolution, ← integral_complex_ofReal]
simp_rw [Complex.ofReal_mul, hk, FourierSampling.polynomial, Finset.sum_mul]
have hterm : ∀ v, Integrable (fun y => c v * fourier v (x - y) * (f y : ℂ)) volume := by
intro v
have he : (fun y => c v * fourier v (x - y) * (f y : ℂ)) =
(fun y => (c v * fourier v x) * (fourier (-v) y * (f y : ℂ))) := by
funext y
rw [fourier_sub_argument]
ring
rw [he]
exact (integrable_test_character hf hf0 hf1 (-v)).const_mul _
rw [integral_finsetSum s (fun v hv => hterm v)]
apply Finset.sum_congr rfl
intro v hv
simp_rw [fourier_sub_argument]
have he : (fun y => c v * (fourier v x * fourier (-v) y) * (f y : ℂ)) =
(fun y => (c v * fourier v x) * (fourier (-v) y * (f y : ℂ))) := by
funext y
ring
rw [he, integral_const_mul]
unfold testCoefficient
ring
def translationError (f : UnitAddCircle → ℝ) (t : UnitAddCircle) : ℝ :=
∫ x, |f (x - t) - f x|
theorem translationError_nonneg (f : UnitAddCircle → ℝ) (t : UnitAddCircle) :
0 ≤ translationError f t := integral_nonneg fun _ => abs_nonneg _
theorem translationError_le_one {f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (t : UnitAddCircle) :
translationError f t ≤ 1 := by
have hb : ∀ x, |f (x - t) - f x| ≤ 1 := by
intro x
rw [abs_sub_le_iff]
constructor <;> linarith [hf0 x, hf0 (x - t), hf1 x, hf1 (x - t)]
have hi : Integrable (fun x => |f (x - t) - f x|) volume := by
apply Integrable.of_bound
(((hf.comp (measurable_id.sub measurable_const)).sub hf).abs).aestronglyMeasurable 1
exact Filter.Eventually.of_forall fun x => by simpa [Real.norm_eq_abs] using hb x
have h := integral_mono hi (integrable_const (1 : ℝ)) hb
simpa [translationError] using h
theorem convolution_eq_shift (k : C(UnitAddCircle, ℝ)) (f : UnitAddCircle → ℝ)
(x : UnitAddCircle) : convolution k f x = ∫ t, k t * f (x - t) := by
have h := integral_sub_left_eq_self (fun y => k (x - y) * f y) volume x
simpa [convolution, sub_sub_cancel] using h.symm
theorem convolution_error_pointwise_le (k : C(UnitAddCircle, ℝ))
(hk0 : ∀ t, 0 ≤ k t) (hkmass : ∫ t, k t = 1)
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) (x : UnitAddCircle) :
|convolution k f x - f x| ≤ ∫ t, k t * |f (x - t) - f x| := by
have hi : Integrable (fun t => k t * f (x - t)) volume := by
apply Integrable.of_bound
(k.measurable.mul (hf.comp (measurable_const.sub measurable_id))).aestronglyMeasurable ‖k‖
filter_upwards with t
change ‖k t * f (x - t)‖ ≤ ‖k‖
rw [norm_mul, Real.norm_eq_abs (f (x - t)), abs_of_nonneg (hf0 _)]
calc
‖k t‖ * f (x - t) ≤ ‖k t‖ * 1 := mul_le_mul_of_nonneg_left (hf1 _) (norm_nonneg _)
_ ≤ ‖k‖ := by simpa using k.norm_coe_le_norm t
have he : convolution k f x - f x = ∫ t, k t * (f (x - t) - f x) := by
rw [convolution_eq_shift]
have hc : (∫ t, k t * f x) = f x := by rw [integral_mul_const, hkmass, one_mul]
calc
(∫ t, k t * f (x - t)) - f x =
(∫ t, k t * f (x - t)) - ∫ t, k t * f x := by rw [hc]
_ = ∫ t, k t * f (x - t) - k t * f x :=
(integral_sub hi ((integrable_kernel k).mul_const _)).symm
_ = _ := by congr 1; funext t; ring
rw [he]
have h := norm_integral_le_integral_norm (μ := (volume : Measure UnitAddCircle)) (fun t => k t * (f (x - t) - f x))
simpa only [Real.norm_eq_abs, abs_mul, abs_of_nonneg (hk0 _)] using h
theorem integrable_joint_error (k : C(UnitAddCircle, ℝ))
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) :
Integrable (fun p : UnitAddCircle × UnitAddCircle =>
k p.2 * |f (p.1 - p.2) - f p.1|) (volume.prod volume) := by
apply Integrable.of_bound ((k.measurable.comp measurable_snd).mul
(((hf.comp (measurable_fst.sub measurable_snd)).sub (hf.comp measurable_fst)).abs)).aestronglyMeasurable ‖k‖
filter_upwards with p
change ‖k p.2 * |f (p.1 - p.2) - f p.1|‖ ≤ ‖k‖
have hb : |f (p.1 - p.2) - f p.1| ≤ 1 := by
rw [abs_sub_le_iff]
constructor <;> linarith [hf0 p.1, hf0 (p.1 - p.2), hf1 p.1, hf1 (p.1 - p.2)]
simp only [norm_mul, Real.norm_eq_abs, abs_abs]
calc
‖k p.2‖ * |f (p.1 - p.2) - f p.1| ≤ ‖k p.2‖ * 1 :=
mul_le_mul_of_nonneg_left hb (norm_nonneg _)
_ ≤ ‖k‖ := by simpa using k.norm_coe_le_norm p.2
theorem l1_error_le_translation_average (k : C(UnitAddCircle, ℝ))
(hk0 : ∀ t, 0 ≤ k t) (hkmass : ∫ t, k t = 1)
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1) :
(∫ x, |convolution k f x - f x|) ≤ ∫ t, k t * translationError f t := by
calc
_ ≤ ∫ x, ∫ t, k t * |f (x - t) - f x| := by
apply integral_mono_of_nonneg (Filter.Eventually.of_forall fun x => abs_nonneg _)
(integrable_joint_error k hf hf0 hf1).integral_prod_left
exact Filter.Eventually.of_forall (convolution_error_pointwise_le k hk0 hkmass hf hf0 hf1)
_ = ∫ t, ∫ x, k t * |f (x - t) - f x| :=
integral_integral_swap (integrable_joint_error k hf hf0 hf1)
_ = _ := by simp_rw [integral_const_mul, translationError]
theorem l1_error_le_small_translation_and_tail (k : C(UnitAddCircle, ℝ))
(hk0 : ∀ t, 0 ≤ k t) (hkmass : ∫ t, k t = 1)
{f : UnitAddCircle → ℝ} (hf : Measurable f)
(hf0 : ∀ x, 0 ≤ f x) (hf1 : ∀ x, f x ≤ 1)
{B : Set UnitAddCircle} (hB : MeasurableSet B) {δ ε : ℝ} (hδ : 0 ≤ δ)
(hsmall : ∀ t ∈ B, translationError f t ≤ δ)
(htail : (∫ t in Bᶜ, k t) ≤ ε) :
(∫ x, |convolution k f x - f x|) ≤ δ + ε := by
apply (l1_error_le_translation_average k hk0 hkmass hf hf0 hf1).trans
calc
(∫ t, k t * translationError f t) ≤ ∫ t, δ * k t + Bᶜ.indicator k t := by
apply integral_mono_of_nonneg
(Filter.Eventually.of_forall fun t => mul_nonneg (hk0 t) (translationError_nonneg f t))
(((integrable_kernel k).const_mul δ).add ((integrable_kernel k).indicator hB.compl))
filter_upwards with t
change k t * translationError f t ≤ δ * k t + Bᶜ.indicator k t
by_cases ht : t ∈ B
· rw [Set.indicator_of_notMem (show t ∉ Bᶜ from fun h => h ht), add_zero]
simpa [mul_comm] using mul_le_mul_of_nonneg_left (hsmall t ht) (hk0 t)
· rw [Set.indicator_of_mem (Set.mem_compl ht)]
have h₁ := mul_le_mul_of_nonneg_left (translationError_le_one hf hf0 hf1 t) (hk0 t)
have h₂ := mul_nonneg hδ (hk0 t)
nlinarith
_ = δ + ∫ t in Bᶜ, k t := by
rw [integral_add ((integrable_kernel k).const_mul δ)
((integrable_kernel k).indicator hB.compl), integral_const_mul,
hkmass, mul_one, integral_indicator hB.compl]
_ ≤ δ + ε := add_le_add le_rfl htail
end Invariant233.CircleKernelConvolution
end
end OAI