openAI-math-dataset / lean /OAI /Analysis /IrrationalRotation /Sampling /CharacterSamplingTests.lean
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import OAI.Analysis.IrrationalRotation.Model.CharacterSampling
import OAI.Analysis.IrrationalRotation.Sampling.CharacterSamplingLimit
import OAI.Analysis.IrrationalRotation.Sampling.ScalarSamplingContinuity
import OAI.Analysis.IrrationalRotation.Rotation.CircleRepresentative
namespace OAI
noncomputable section
open MeasureTheory Filter Set
open scoped BigOperators Topology
namespace Invariant233.CharacterSampling
lemma fract_sub_fract (z v : ℝ) : Int.fract (z - Int.fract v) = Int.fract (z - v) := by
have heq : z - Int.fract v = z - v + (⌊v⌋ : ℤ) := by
rw [Int.fract]
ring
rw [heq, Int.fract_add_intCast]
theorem kernel_fract_right (endpoint : Bool) (m : ℕ) (z v : ℝ) :
kernel endpoint m z (Int.fract v) = kernel endpoint m z v := by
cases endpoint <;>
simp only [kernel, Bool.false_eq_true, ↓reduceIte, ScalarSampling.manuscriptEndpointKernel,
ScalarSampling.manuscriptKernel, ScalarSampling.circleKernel, Int.fract_fract,
fract_sub_fract]
local instance : IsProbabilityMeasure (volume : Measure UnitAddCircle) :=
⟨by simp [AddCircle.measure_univ]⟩
lemma measurable_representative : Measurable representative :=
measurable_subtype_coe.comp (AddCircle.measurableEquivIco (1 : ℝ) 0).measurable
lemma continuousAt_representative {x : UnitAddCircle} (hx : x ≠ 0) :
ContinuousAt representative x :=
continuousAt_subtype_val.comp (AddCircle.continuousAt_equivIco (1 : ℝ) 0 hx)
lemma measurable_kernel (endpoint : Bool) (m : ℕ) :
Measurable (fun p : ℝ × ℝ => kernel endpoint m p.1 p.2) := by
cases endpoint
· exact ScalarSampling.measurable_circleKernel _ _
· exact (ScalarSampling.measurable_circleKernel _ _).comp
((measurable_fst.sub measurable_snd).prodMk measurable_snd)
lemma kernel_nonneg (endpoint : Bool) {m : ℕ} (hm : 200 ≤ m) (z v : ℝ) :
0 ≤ kernel endpoint m z v := by
have hh := (ScalarSampling.manuscript_parameters hm).1.le
cases endpoint <;> exact ScalarSampling.rawKernel_nonneg hh
⟨Int.fract_nonneg _, (Int.fract_lt_one _).le⟩
lemma kernel_le_height (endpoint : Bool) {m : ℕ} (hm : 200 ≤ m) (z v : ℝ) :
kernel endpoint m z v ≤ (m : ℝ) ^ (13 / 5 : ℝ) := by
cases endpoint <;> exact ScalarSampling.manuscriptKernel_le_height hm _ _
lemma kernel_abs_le_height (endpoint : Bool) {m : ℕ} (hm : 200 ≤ m) (z v : ℝ) :
|kernel endpoint m z v| ≤ (m : ℝ) ^ (13 / 5 : ℝ) := by
rw [abs_of_nonneg (kernel_nonneg endpoint hm z v)]
exact kernel_le_height endpoint hm z v
theorem ae_joint_continuousAt_kernel {m : ℕ} (hm : 200 ≤ m)
(endpoint : Bool) (n τ : ℝ) (hphase : Int.fract (n * τ) ≠ 0) :
∀ᵐ x : UnitAddCircle,
ContinuousAt (fun p : ℝ × UnitAddCircle =>
kernel endpoint m (representative p.2) (n * p.1)) (τ, x) := by
have hreal : ∀ᵐ z : ℝ ∂volume,
ContinuousAt (fun p : ℝ × ℝ => kernel endpoint m p.1 (n * p.2)) (z, τ) := by
cases endpoint
· exact ScalarSampling.ae_joint_continuousAt_manuscriptPower hm n τ hphase
· exact ScalarSampling.ae_joint_continuousAt_manuscriptEndpointPower hm n τ hphase
have hpull := CocycleSupport.measurePreserving_circleRepresentative.quasiMeasurePreserving.ae
(ae_restrict_of_ae (s := Ico (0 : ℝ) 1) hreal)
have hnotzero := CocycleSupport.measurePreserving_circleRepresentative.quasiMeasurePreserving.ae
(ae_restrict_of_ae (s := Ico (0 : ℝ) 1) ((volume : Measure ℝ).ae_ne 0))
filter_upwards [hpull, hnotzero] with x hx hrepzero
have hzero : x ≠ 0 := by
intro heq
subst x
apply hrepzero
exact AddCircle.equivIco_coe_of_mem (p := (1 : ℝ)) (a := 0) (by norm_num)
have hc : ContinuousAt
(fun p : ℝ × UnitAddCircle => (representative p.2, p.1)) (τ, x) :=
((continuousAt_representative hzero).comp continuous_snd.continuousAt).prodMk
continuous_fst.continuousAt
exact hx.comp_of_eq hc rfl
lemma measurable_squaredError (m : ℕ) (powers : Finset ℕ) (endpoint : Bool) :
Measurable (squaredError m powers endpoint) := by
apply Measurable.pow_const
apply Measurable.sub _ measurable_const
apply measurable_const.mul
apply Finset.measurable_sum
intro n hn
apply Finset.measurable_prod
intro i hi
exact (measurable_kernel endpoint m).comp
((measurable_representative.comp ((measurable_pi_apply i).comp measurable_snd)).prodMk
(measurable_const.mul ((measurable_pi_apply i).comp measurable_fst)))
theorem ae_continuousAt_coordinateFactor {m : ℕ} (hm : 200 ≤ m)
(endpoint : Bool) (n : ℕ) (phase : Fin m → ℝ) (i : Fin m)
(hphase : Int.fract ((n : ℝ) * phase i) ≠ 0) :
∀ᵐ y : UnitAddTorus (Fin m), ContinuousAt
(fun p : (Fin m → ℝ) × UnitAddTorus (Fin m) =>
kernel endpoint m (representative (p.2 i)) ((n : ℝ) * p.1 i))
(phase, y) := by
have heval : ∀ᵐ y : UnitAddTorus (Fin m), ContinuousAt
(fun p : ℝ × UnitAddCircle => kernel endpoint m (representative p.2) ((n : ℝ) * p.1))
(phase i, y i) :=
(measurePreserving_eval (fun _ : Fin m => (volume : Measure UnitAddCircle)) i).quasiMeasurePreserving.ae
(ae_joint_continuousAt_kernel hm endpoint (n : ℝ) (phase i) hphase)
filter_upwards [heval] with y hy
have hc : ContinuousAt
(fun p : (Fin m → ℝ) × UnitAddTorus (Fin m) => (p.1 i, p.2 i)) (phase,y) :=
((continuous_apply i).continuousAt.comp continuous_fst.continuousAt).prodMk
((continuous_apply i).continuousAt.comp continuous_snd.continuousAt)
exact ContinuousAt.comp (x := (phase,y)) hy hc
theorem ae_continuousAt_squaredError {m : ℕ} (hm : 200 ≤ m)
(powers : Finset ℕ) (endpoint : Bool) (phase : Fin m → ℝ)
(hphase : ∀ n ∈ powers, ∀ i, Int.fract ((n : ℝ) * phase i) ≠ 0) :
∀ᵐ y : UnitAddTorus (Fin m),
ContinuousAt (squaredError m powers endpoint) (phase, y) := by
have hall : ∀ᵐ y : UnitAddTorus (Fin m), ∀ n ∈ powers, ∀ i : Fin m,
ContinuousAt
(fun p : (Fin m → ℝ) × UnitAddTorus (Fin m) =>
kernel endpoint m (representative (p.2 i)) ((n : ℝ) * p.1 i))
(phase, y) := by
rw [Finset.eventually_all]
intro n hn
exact Filter.eventually_all.mpr (fun i => ae_continuousAt_coordinateFactor hm endpoint n phase i (hphase n hn i))
filter_upwards [hall] with y hy
apply ContinuousAt.pow
apply ContinuousAt.sub _ continuousAt_const
apply ContinuousAt.const_mul
exact tendsto_finsetSum powers (fun n hn =>
tendsto_finsetProd Finset.univ (fun i _ => hy n hn i))
lemma average_nonneg {m : ℕ} (hm : 200 ≤ m) (powers : Finset ℕ)
(endpoint : Bool) (phase : Fin m → ℝ) (spatial : UnitAddTorus (Fin m)) :
0 ≤ average m powers endpoint phase spatial := by
apply mul_nonneg (inv_nonneg.mpr (Nat.cast_nonneg _))
apply Finset.sum_nonneg
intro n hn
exact Finset.prod_nonneg (fun i _ => kernel_nonneg endpoint hm _ _)
lemma average_le_height {m : ℕ} (hm : 200 ≤ m) (powers : Finset ℕ)
(endpoint : Bool) (phase : Fin m → ℝ) (spatial : UnitAddTorus (Fin m)) :
average m powers endpoint phase spatial ≤ ((m : ℝ) ^ (13 / 5 : ℝ)) ^ m := by
by_cases hp : powers.Nonempty
· have hcard : (0 : ℝ) < powers.card := by exact_mod_cast hp.card_pos
have hs : (∑ n ∈ powers, ∏ i : Fin m,
kernel endpoint m (representative (spatial i)) ((n : ℝ) * phase i)) ≤
(powers.card : ℝ) * ((m : ℝ) ^ (13 / 5 : ℝ)) ^ m := by
calc
_ ≤ ∑ _n ∈ powers, ((m : ℝ) ^ (13 / 5 : ℝ)) ^ m := by
apply Finset.sum_le_sum
intro n hn
calc
_ ≤ ∏ _i : Fin m, (m : ℝ) ^ (13 / 5 : ℝ) :=
Finset.prod_le_prod₀ (fun i _ => kernel_nonneg endpoint hm _ _)
(fun i _ => kernel_le_height endpoint hm _ _)
_ = _ := by simp
_ = _ := by simp
calc
average m powers endpoint phase spatial ≤
(powers.card : ℝ)⁻¹ * ((powers.card : ℝ) * ((m : ℝ) ^ (13 / 5 : ℝ)) ^ m) :=
mul_le_mul_of_nonneg_left hs (inv_nonneg.mpr hcard.le)
_ = _ := by rw [← mul_assoc, inv_mul_cancel₀ hcard.ne', one_mul]
· have hempty : powers = ∅ := Finset.not_nonempty_iff_eq_empty.mp hp
simp only [hempty, average, Finset.card_empty, Nat.cast_zero, inv_zero, Finset.sum_empty, mul_zero]
positivity
theorem squaredError_abs_le {m : ℕ} (hm : 200 ≤ m) (powers : Finset ℕ)
(endpoint : Bool) (p : (Fin m → ℝ) × UnitAddTorus (Fin m)) :
|squaredError m powers endpoint p| ≤ (((m : ℝ) ^ (13 / 5 : ℝ)) ^ m + 1) ^ 2 := by
rw [squaredError, abs_pow]
apply pow_le_pow_left₀ (abs_nonneg _)
calc
|average m powers endpoint p.1 p.2 - 1| ≤
|average m powers endpoint p.1 p.2| + |(1 : ℝ)| := by simpa using (abs_sub_le (average m powers endpoint p.1 p.2) 0 1)
_ = average m powers endpoint p.1 p.2 + 1 := by
rw [abs_of_nonneg (average_nonneg hm powers endpoint p.1 p.2), abs_one]
_ ≤ _ := by linarith [average_le_height hm powers endpoint p.1 p.2]
theorem tendsto_integral_squaredError {m : ℕ} (hm : 200 ≤ m)
(powers : Finset ℕ) (endpoint : Bool)
(q : ℕ → ℕ → ℕ) (hq : ∀ j i, 0 < q j i) (hmono : ∀ j, Monotone (q j))
(hgap : ∀ i, i + 1 < m → Tendsto
(fun j => (q j (i + 1) : ℝ) / (q j i : ℝ)) atTop atTop)
{phase : ℕ → Fin m → ℝ} {target : Fin m → ℝ}
(hphase : Tendsto phase atTop (𝓝 target))
(hcut : ∀ n ∈ powers, ∀ i, Int.fract ((n : ℝ) * target i) ≠ 0) :
Tendsto (fun j => ∫ x : UnitAddCircle,
squaredError m powers endpoint
(phase j, fun i : Fin m => (q j i.val : ℤ) • x)) atTop
(𝓝 (∫ y : UnitAddTorus (Fin m), squaredError m powers endpoint (target, y))) := by
exact CharacterLaws.tendsto_integral_character_phase_of_ae_continuous q m hq hmono hgap
hphase (measurable_squaredError m powers endpoint)
(ae_continuousAt_squaredError hm powers endpoint target hcut)
(sq_nonneg _) (squaredError_abs_le hm powers endpoint)
theorem integrable_squaredError_comp {X : Type*} [MeasurableSpace X]
{μ : Measure X} [IsFiniteMeasure μ] {m : ℕ} (hm : 200 ≤ m)
(powers : Finset ℕ) (endpoint : Bool)
{F : X → (Fin m → ℝ) × UnitAddTorus (Fin m)} (hF : Measurable F) :
Integrable (fun x => squaredError m powers endpoint (F x)) μ := by
apply Integrable.of_bound ((measurable_squaredError m powers endpoint).comp hF).aestronglyMeasurable
((((m : ℝ) ^ (13 / 5 : ℝ)) ^ m + 1) ^ 2)
exact Eventually.of_forall (fun x => by
simpa only [Real.norm_eq_abs, Function.comp_apply] using squaredError_abs_le hm powers endpoint (F x))
theorem lintegral_squaredError_eq {X : Type*} [MeasurableSpace X]
{μ : Measure X} [IsFiniteMeasure μ] {m : ℕ} (hm : 200 ≤ m)
(powers : Finset ℕ) (endpoint : Bool)
{F : X → (Fin m → ℝ) × UnitAddTorus (Fin m)} (hF : Measurable F) :
(∫⁻ x, ENNReal.ofReal (squaredError m powers endpoint (F x)) ∂μ) =
ENNReal.ofReal (∫ x, squaredError m powers endpoint (F x) ∂μ) := by
apply (ofReal_integral_eq_lintegral_ofReal
(integrable_squaredError_comp hm powers endpoint hF) _).symm
exact Eventually.of_forall (fun x => sq_nonneg _)
end Invariant233.CharacterSampling
end
end OAI