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import OAI.MeasureTheory.CompactFactors.Kernels
namespace OAI
noncomputable section
open scoped ComplexConjugate
open scoped BigOperators
open scoped BigOperators BoundedContinuousFunction
open Filter Topology
open MeasureTheory Filter
open scoped ENNReal ComplexConjugate
open MeasureTheory ProbabilityTheory
open scoped ComplexConjugate
open scoped BigOperators
open scoped BigOperators
open Polynomial
open MeasureTheory
open scoped BigOperators
open MeasureTheory
open scoped BigOperators
open MeasureTheory
open MeasureTheory ProbabilityTheory
open scoped BigOperators
open MeasureTheory
open scoped BigOperators ComplexConjugate
open MeasureTheory ProbabilityTheory
open scoped ENNReal BigOperators
open MeasureTheory Filter
open scoped Topology ENNReal NNReal
open MeasureTheory
open scoped ENNReal
open MeasureTheory ProbabilityTheory
open scoped ENNReal
open MeasureTheory ProbabilityTheory
open MeasureTheory ProbabilityTheory
open MeasureTheory ProbabilityTheory
open scoped ENNReal
namespace EuclideanFiveColor.CompactFunctions
open MeasureTheory
open scoped BigOperators
variable {K X Y : Type*} [SMul K X] [MeasurableSpace X] [MeasurableSpace Y]
def At (μ : Measure X) (q : X → Y) (H : X → ℂ) (ε : ℝ) : Prop :=
∃ (r : ℕ) (B C : ℝ) (Hf : Fin r → X → ℂ),
0 ≤ B ∧ 0 ≤ C ∧ (∀ i, Measurable (Hf i)) ∧ (∀ x, ∑ i, ‖Hf i x‖ ≤ C) ∧
∀ k : K, ∃ a : Y → Fin r → ℂ, Measurable a ∧ (∀ y, ‖a y‖ ≤ B) ∧
Integrable (fun x => dist (H (k • x)) (∑ i, a (q x) i * Hf i x)^2) μ ∧
(∫ x, dist (H (k • x)) (∑ i, a (q x) i * Hf i x)^2 ∂μ) < ε^2
def Compact (μ : Measure X) (q : X → Y) (H : X → ℂ) : Prop :=
∀ ε : ℝ, 0 < ε → At (K := K) μ q H ε
lemma at_of_finite {μ : Measure X} {q : X → Y} {H : X → ℂ} {ε : ℝ}
{I : Type*} [Fintype I] (B C : ℝ) (Hf : I → X → ℂ)
(hB : 0 ≤ B) (hC : 0 ≤ C) (hm : ∀ i, Measurable (Hf i))
(hb : ∀ x, ∑ i, ‖Hf i x‖ ≤ C)
(ha : ∀ k : K, ∃ a : Y → I → ℂ, Measurable a ∧ (∀ y, ‖a y‖ ≤ B) ∧
Integrable (fun x => dist (H (k • x)) (∑ i, a (q x) i * Hf i x)^2) μ ∧
(∫ x, dist (H (k • x)) (∑ i, a (q x) i * Hf i x)^2 ∂μ) < ε^2) :
At (K := K) μ q H ε := by
classical
let e : Fin (Fintype.card I) ≃ I := (Fintype.equivFin I).symm
refine ⟨_, B, C, fun i => Hf (e i), hB, hC, fun i => hm (e i), ?_, ?_⟩
· intro x
rw [e.sum_comp (fun i => ‖Hf i x‖)]
exact hb x
· intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
have hs (x : X) : (∑ i, a (q x) (e i) * Hf (e i) x) = ∑ i, a (q x) i * Hf i x := e.sum_comp (fun i => a (q x) i * Hf i x)
refine ⟨fun y i => a y (e i), Measurable.of_eval (fun i => (measurable_pi_iff.mp ham) (e i)), ?_, ?_, ?_⟩
· intro y
rw [pi_norm_le_iff_of_nonneg hB]
exact fun i => (norm_le_pi_norm (a y) (e i)).trans (hab y)
· simpa only [hs] using hai
· simpa only [hs] using hae
lemma module_bound {I : Type*} [Fintype I] (a : I → ℂ) (H : I → ℂ)
{B C : ℝ} (hB : 0 ≤ B) (ha : ‖a‖ ≤ B) (hH : ∑ i, ‖H i‖ ≤ C) :
‖∑ i, a i * H i‖ ≤ B*C := by
calc
‖∑ i, a i * H i‖ ≤ ∑ i, ‖a i * H i‖ := norm_sum_le _ _
_ ≤ ∑ i, B*‖H i‖ := Finset.sum_le_sum fun i _ => by
rw [norm_mul]
exact mul_le_mul_of_nonneg_right ((norm_le_pi_norm a i).trans ha) (norm_nonneg _)
_ = B * ∑ i, ‖H i‖ := by rw [Finset.mul_sum]
_ ≤ B*C := mul_le_mul_of_nonneg_left hH hB
lemma dist_sq_add (a b c d : ℂ) :
dist (a+b) (c+d)^2 ≤ 2*(dist a c^2 + dist b d^2) := by
have h := dist_add_add_le a b c d
nlinarith [dist_nonneg (x := a+b) (y := c+d), dist_nonneg (x := a) (y := c),
dist_nonneg (x := b) (y := d), sq_nonneg (dist a c - dist b d)]
lemma dist_sq_chain (a b c : ℂ) :
dist a c^2 ≤ 2*(dist a b^2 + dist b c^2) := by
have h := dist_triangle a b c
nlinarith [dist_nonneg (x := a) (y := c), dist_nonneg (x := a) (y := b),
dist_nonneg (x := b) (y := c), sq_nonneg (dist a b - dist b c)]
lemma compact_const (μ : Measure X) (q : X → Y) (c : ℂ) :
Compact (K := K) μ q (fun _ => c) := by
intro ε hε
apply at_of_finite (I := Unit) 1 ‖c‖ (fun _ _ => c) (by norm_num) (norm_nonneg _) (fun _ => measurable_const)
· intro x; simp
· intro k
refine ⟨fun _ _ => 1, measurable_const, fun _ => by simp, ?_, ?_⟩
· simp
· simpa using sq_pos_of_pos hε
lemma compact_conj {μ : Measure X} {q : X → Y} {H : X → ℂ}
(hH : Compact (K := K) μ q H) : Compact (K := K) μ q (fun x => star (H x)) := by
intro ε hε
obtain ⟨r, B, C, F, hB, hC, hm, hb, ha⟩ := hH ε hε
refine ⟨r, B, C, fun i x => star (F i x), hB, hC,
fun i => Complex.continuous_conj.measurable.comp (hm i), ?_, ?_⟩
· intro x; simpa using hb x
· intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
refine ⟨fun y i => star (a y i), (Measurable.of_eval (fun i => Complex.continuous_conj.measurable.comp ((measurable_pi_iff.mp ham) i))), ?_, ?_, ?_⟩
· intro y
rw [pi_norm_le_iff_of_nonneg hB]
intro i
simpa using (norm_le_pi_norm (a y) i).trans (hab y)
· have hs (x : X) : (∑ i, star (a (q x) i) * star (F i x)) = star (∑ i, a (q x) i * F i x) := by
simp only [star_sum, star_mul, mul_comm]
simpa only [hs, dist_star_star] using hai
· have hs (x : X) : (∑ i, star (a (q x) i) * star (F i x)) = star (∑ i, a (q x) i * F i x) := by
simp only [star_sum, star_mul, mul_comm]
simpa only [hs, dist_star_star] using hae
lemma compact_add {μ : Measure X} {q : X → Y} {H G : X → ℂ}
[MeasurableConstSMul K X] (hq : Measurable q) (hHm : Measurable H) (hGm : Measurable G)
(hH : Compact (K := K) μ q H) (hG : Compact (K := K) μ q G) :
Compact (K := K) μ q (fun x => H x + G x) := by
intro ε hε
obtain ⟨r, B, C, F, hB, hC, hm, hb, ha⟩ := hH (ε/2) (by positivity)
obtain ⟨s, D, E, J, hD, hE, hjm, hjb, hd⟩ := hG (ε/2) (by positivity)
classical
apply at_of_finite (I := Fin r ⊕ Fin s) (max B D) (C+E) (Sum.elim F J)
(hB.trans (le_max_left _ _)) (add_nonneg hC hE)
· intro i; cases i with
| inl i => exact hm i
| inr i => exact hjm i
· intro x
simpa only [Fintype.sum_sum_type, Sum.elim_inl, Sum.elim_inr] using add_le_add (hb x) (hjb x)
· intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
obtain ⟨b, hbm, hbb, hbi, hbe⟩ := hd k
let A : Y → Fin r ⊕ Fin s → ℂ := fun y => Sum.elim (a y) (b y)
have hAm : Measurable A := by
apply Measurable.of_eval
intro i
cases i with
| inl i => exact (measurable_pi_iff.mp ham) i
| inr i => exact (measurable_pi_iff.mp hbm) i
have hAb (y : Y) : ‖A y‖ ≤ max B D := by
rw [pi_norm_le_iff_of_nonneg (hB.trans (le_max_left _ _))]
intro i
cases i with
| inl i => exact ((norm_le_pi_norm (a y) i).trans (hab y)).trans (le_max_left _ _)
| inr i => exact ((norm_le_pi_norm (b y) i).trans (hbb y)).trans (le_max_right _ _)
let F₀ : X → ℂ := fun x => ∑ i, a (q x) i * F i x
let G₀ : X → ℂ := fun x => ∑ i, b (q x) i * J i x
have hFm : Measurable F₀ := Finset.measurable_sum _ (fun i _ =>
(((measurable_pi_iff.mp ham) i).comp hq).mul (hm i))
have hGm₀ : Measurable G₀ := Finset.measurable_sum _ (fun i _ =>
(((measurable_pi_iff.mp hbm) i).comp hq).mul (hjm i))
have hiM : Integrable (fun x => 2*(dist (H (k • x)) (F₀ x)^2 +
dist (G (k • x)) (G₀ x)^2)) μ := (hai.add hbi).const_mul 2
have hmajor (x : X) := dist_sq_add (H (k • x)) (G (k • x)) (F₀ x) (G₀ x)
have hi : Integrable (fun x => dist (H (k • x)+G (k • x)) (F₀ x+G₀ x)^2) μ :=
hiM.mono' ((((hHm.comp (measurable_const_smul k)).add (hGm.comp (measurable_const_smul k))).dist
(hFm.add hGm₀)).pow_const 2).aestronglyMeasurable
(Filter.Eventually.of_forall fun x => by simpa only [Real.norm_eq_abs, abs_sq] using hmajor x)
have he : (∫ x, dist (H (k • x)+G (k • x)) (F₀ x+G₀ x)^2 ∂μ) < ε^2 := by
calc
_ ≤ ∫ x, 2*(dist (H (k • x)) (F₀ x)^2 + dist (G (k • x)) (G₀ x)^2) ∂μ :=
integral_mono hi hiM hmajor
_ = 2*((∫ x, dist (H (k • x)) (F₀ x)^2 ∂μ) + ∫ x, dist (G (k • x)) (G₀ x)^2 ∂μ) := by
rw [integral_const_mul, integral_add hai hbi]
_ < ε^2 := by dsimp [F₀, G₀]; nlinarith
refine ⟨A, hAm, hAb, ?_, ?_⟩
· simpa only [Fintype.sum_sum_type, A, Sum.elim_inl, Sum.elim_inr] using hi
· simpa only [Fintype.sum_sum_type, A, Sum.elim_inl, Sum.elim_inr] using he
lemma compact_mul {μ : Measure X} {q : X → Y} {H G : X → ℂ}
[MeasurableConstSMul K X] (hq : Measurable q) (hHm : Measurable H) (hGm : Measurable G)
(RG : ℝ) (hRG : 0 ≤ RG) (hGb : ∀ x, ‖G x‖ ≤ RG)
(hH : Compact (K := K) μ q H) (hG : Compact (K := K) μ q G) :
Compact (K := K) μ q (fun x => H x * G x) := by
intro ε hε
let δ := ε/(2*(RG+1))
have hδ : 0 < δ := by dsimp [δ]; positivity
obtain ⟨r, B, C, F, hB, hC, hm, hb, ha⟩ := hH δ hδ
let γ := ε/(2*(B*C+1))
have hγ : 0 < γ := by dsimp [γ]; positivity
obtain ⟨s, D, E, J, hD, hE, hjm, hjb, hd⟩ := hG γ hγ
classical
apply at_of_finite (I := Fin r × Fin s) (B*D) (C*E) (fun i x => F i.1 x * J i.2 x)
(mul_nonneg hB hD) (mul_nonneg hC hE) (fun i => (hm i.1).mul (hjm i.2))
· intro x
calc
(∑ i : Fin r × Fin s, ‖F i.1 x * J i.2 x‖) = (∑ i, ‖F i x‖) * ∑ j, ‖J j x‖ := by
simp only [Fintype.sum_prod_type, norm_mul, Finset.sum_mul_sum]
_ ≤ C*E := mul_le_mul (hb x) (hjb x) (Finset.sum_nonneg fun _ _ => norm_nonneg _) hC
· intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
obtain ⟨b, hbm, hbb, hbi, hbe⟩ := hd k
let A : Y → Fin r × Fin s → ℂ := fun y i => a y i.1 * b y i.2
have hAm : Measurable A := Measurable.of_eval (fun i =>
((measurable_pi_iff.mp ham) i.1).mul ((measurable_pi_iff.mp hbm) i.2))
have hAb (y : Y) : ‖A y‖ ≤ B*D := by
rw [pi_norm_le_iff_of_nonneg (mul_nonneg hB hD)]
intro i
change ‖a y i.1 * b y i.2‖ ≤ _
rw [norm_mul]
exact mul_le_mul ((norm_le_pi_norm (a y) i.1).trans (hab y))
((norm_le_pi_norm (b y) i.2).trans (hbb y)) (norm_nonneg _) hB
let F₀ : X → ℂ := fun x => ∑ i, a (q x) i * F i x
let G₀ : X → ℂ := fun x => ∑ i, b (q x) i * J i x
have hFm : Measurable F₀ := Finset.measurable_sum _ (fun i _ =>
(((measurable_pi_iff.mp ham) i).comp hq).mul (hm i))
have hGm₀ : Measurable G₀ := Finset.measurable_sum _ (fun i _ =>
(((measurable_pi_iff.mp hbm) i).comp hq).mul (hjm i))
have hFbound (x : X) : ‖F₀ x‖ ≤ B*C := module_bound _ _ hB (hab _) (hb _)
have hmajor (x : X) : dist (H (k • x)*G (k • x)) (F₀ x*G₀ x)^2 ≤
2*(RG^2*dist (H (k • x)) (F₀ x)^2 + (B*C)^2*dist (G (k • x)) (G₀ x)^2) := by
have heq : H (k • x)*G (k • x)-F₀ x*G₀ x =
(H (k • x)-F₀ x)*G (k • x)+F₀ x*(G (k • x)-G₀ x) := by ring
have hn : dist (H (k • x)*G (k • x)) (F₀ x*G₀ x) ≤
RG*dist (H (k • x)) (F₀ x) + (B*C)*dist (G (k • x)) (G₀ x) := by
rw [dist_eq_norm, heq]
refine (norm_add_le _ _).trans ?_
simp only [norm_mul, ← dist_eq_norm]
exact add_le_add (by nlinarith [hGb (k • x), dist_nonneg (x := H (k • x)) (y := F₀ x)])
(mul_le_mul_of_nonneg_right (hFbound x) dist_nonneg)
have h₁ : 0 ≤ RG*dist (H (k • x)) (F₀ x) := mul_nonneg hRG dist_nonneg
have h₂ : 0 ≤ (B*C)*dist (G (k • x)) (G₀ x) := mul_nonneg (mul_nonneg hB hC) dist_nonneg
nlinarith [dist_nonneg (x := H (k • x)*G (k • x)) (y := F₀ x*G₀ x),
sq_nonneg (RG*dist (H (k • x)) (F₀ x) - (B*C)*dist (G (k • x)) (G₀ x))]
have hiM : Integrable (fun x => 2*(RG^2*dist (H (k • x)) (F₀ x)^2 +
(B*C)^2*dist (G (k • x)) (G₀ x)^2)) μ :=
((hai.const_mul (RG^2)).add (hbi.const_mul ((B*C)^2))).const_mul 2
have hi : Integrable (fun x => dist (H (k • x)*G (k • x)) (F₀ x*G₀ x)^2) μ :=
hiM.mono' ((((hHm.comp (measurable_const_smul k)).mul (hGm.comp (measurable_const_smul k))).dist
(hFm.mul hGm₀)).pow_const 2).aestronglyMeasurable
(Filter.Eventually.of_forall fun x => by simpa only [Real.norm_eq_abs, abs_sq] using hmajor x)
have hδB : RG*δ < ε/2 := by
dsimp [δ]
have hh : 0 < 2*(RG+1) := by positivity
rw [← mul_div_assoc, div_lt_iff₀ hh]
nlinarith
have hγB : (B*C)*γ < ε/2 := by
dsimp [γ]
have hh : 0 < 2*(B*C+1) := by positivity
rw [← mul_div_assoc, div_lt_iff₀ hh]
nlinarith
have he : (∫ x, dist (H (k • x)*G (k • x)) (F₀ x*G₀ x)^2 ∂μ) < ε^2 := by
calc
_ ≤ ∫ x, 2*(RG^2*dist (H (k • x)) (F₀ x)^2 +
(B*C)^2*dist (G (k • x)) (G₀ x)^2) ∂μ := integral_mono hi hiM hmajor
_ = 2*(RG^2*(∫ x, dist (H (k • x)) (F₀ x)^2 ∂μ) +
(B*C)^2*∫ x, dist (G (k • x)) (G₀ x)^2 ∂μ) := by
rw [integral_const_mul, integral_add (hai.const_mul _) (hbi.const_mul _),
integral_const_mul, integral_const_mul]
_ ≤ 2*((RG*δ)^2 + ((B*C)*γ)^2) := by
have h₁ := mul_le_mul_of_nonneg_left hae.le (sq_nonneg RG)
have h₂ := mul_le_mul_of_nonneg_left hbe.le (sq_nonneg (B*C))
dsimp [F₀, G₀]
nlinarith
_ < ε^2 := by
have h₁ := sq_lt_sq₀ (mul_nonneg hRG hδ.le) (by positivity : 0 ≤ ε/2) |>.mpr hδB
have h₂ := sq_lt_sq₀ (mul_nonneg (mul_nonneg hB hC) hγ.le) (by positivity : 0 ≤ ε/2) |>.mpr hγB
nlinarith
have hs (x : X) : (∑ i : Fin r × Fin s, A (q x) i * (F i.1 x * J i.2 x)) = F₀ x*G₀ x := by
simp only [Fintype.sum_prod_type, A, F₀, G₀, Finset.sum_mul_sum]
congr 1
funext i
congr 1
funext j
ring
refine ⟨A, hAm, hAb, ?_, ?_⟩
· simpa only [hs] using hi
· simpa only [hs] using he
lemma compact_of_l2_approximation {μ : Measure X} {q : X → Y} {H : X → ℂ}
[MeasurableConstSMul K X] (hq : Measurable q) (hHm : Measurable H)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
(happ : ∀ δ : ℝ, 0 < δ → ∃ G : X → ℂ, Measurable G ∧ Compact (K := K) μ q G ∧
Integrable (fun x => dist (H x) (G x)^2) μ ∧ (∫ x, dist (H x) (G x)^2 ∂μ) < δ^2) :
Compact (K := K) μ q H := by
intro ε hε
obtain ⟨G, hGm, hG, hi₀, he₀⟩ := happ (ε/2) (by positivity)
obtain ⟨r, B, C, F, hB, hC, hm, hb, ha⟩ := hG (ε/2) (by positivity)
refine ⟨r, B, C, F, hB, hC, hm, hb, ?_⟩
intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
let F₀ : X → ℂ := fun x => ∑ i, a (q x) i * F i x
have hFm : Measurable F₀ := Finset.measurable_sum _ (fun i _ =>
(((measurable_pi_iff.mp ham) i).comp hq).mul (hm i))
have hi₁ : Integrable (fun x => dist (H (k • x)) (G (k • x))^2) μ :=
(hpres k).integrable_comp hi₀.aestronglyMeasurable |>.mpr hi₀
have he₁ : (∫ x, dist (H (k • x)) (G (k • x))^2 ∂μ) < (ε/2)^2 := by
have hm₀ : AEStronglyMeasurable (fun x => dist (H x) (G x)^2) (μ.map (fun x : X => k • x)) := by
rw [(hpres k).map_eq]
exact hi₀.aestronglyMeasurable
rw [← integral_map (hpres k).measurable.aemeasurable hm₀, (hpres k).map_eq]
exact he₀
have hiM : Integrable (fun x => 2*(dist (H (k • x)) (G (k • x))^2 +
dist (G (k • x)) (F₀ x)^2)) μ := (hi₁.add hai).const_mul 2
have hmajor (x : X) := dist_sq_chain (H (k • x)) (G (k • x)) (F₀ x)
have hi : Integrable (fun x => dist (H (k • x)) (F₀ x)^2) μ :=
hiM.mono' (((hHm.comp (measurable_const_smul k)).dist hFm).pow_const 2).aestronglyMeasurable
(Filter.Eventually.of_forall fun x => by simpa only [Real.norm_eq_abs, abs_sq] using hmajor x)
refine ⟨a, ham, hab, hi, ?_⟩
calc
_ ≤ ∫ x, 2*(dist (H (k • x)) (G (k • x))^2 + dist (G (k • x)) (F₀ x)^2) ∂μ :=
integral_mono hi hiM hmajor
_ = 2*((∫ x, dist (H (k • x)) (G (k • x))^2 ∂μ) + ∫ x, dist (G (k • x)) (F₀ x)^2 ∂μ) := by
rw [integral_const_mul, integral_add hi₁ hai]
_ < ε^2 := by dsimp [F₀]; nlinarith
end EuclideanFiveColor.CompactFunctions
namespace EuclideanFiveColor.Quantize
open MeasureTheory
variable {A Y : Type*} [MetricSpace A] [MeasurableSpace A] [BorelSpace A] [SecondCountableTopology A]
[MeasurableSpace Y]
lemma finite_measurable_choice {n : ℕ} (P : Y → Fin n → Prop)
(hm : ∀ i, MeasurableSet {y | P y i}) (he : ∀ y, ∃ i, P y i) :
∃ f : Y → Fin n, Measurable f ∧ ∀ y, P y (f y) := by
classical
let Q : Y → ℕ → Prop := fun y k => ∃ i : Fin n, i.val = k ∧ P y i
have hQ (y : Y) : ∃ k, Q y k := by
obtain ⟨i, hi⟩ := he y
exact ⟨i.val, i, rfl, hi⟩
have hmQ (k : ℕ) : MeasurableSet {y | Q y k} := by
have heq : {y | Q y k} = ⋃ i : Fin n, {y | i.val = k} ∩ {y | P y i} := by
ext y
simp only [Q, Set.mem_ofPred_eq, Set.mem_iUnion, Set.mem_inter_iff]
rw [heq]
apply MeasurableSet.iUnion
intro i
exact (MeasurableSet.const _).inter (hm i)
let f₀ : Y → ℕ := fun y => Nat.find (hQ y)
have hf₀ : Measurable f₀ := measurable_find hQ hmQ
have hf₀B (y : Y) : f₀ y < n := by
obtain ⟨i, hi, _⟩ := Nat.find_spec (hQ y)
change Nat.find (hQ y) < n
rw [← hi]
exact i.isLt
have hmF : Measurable (fun y => (⟨f₀ y, hf₀B y⟩ : Fin n)) := by
apply measurable_to_countable'
intro i
convert hf₀ (measurableSet_singleton i.val) using 1
ext y
simp only [Set.mem_preimage, Set.mem_singleton_iff, Fin.ext_iff]
refine ⟨fun y => ⟨f₀ y, hf₀B y⟩, hmF, ?_⟩
intro y
obtain ⟨i, hi, hp⟩ := Nat.find_spec (hQ y)
have heq : i = ⟨f₀ y, hf₀B y⟩ := Fin.ext hi
simpa only [heq] using hp
/-- A common finite net allows measurable nearest-bin selection for every
measurable map into the compact set. -/
lemma compact_quantization {s : Set A} (hs : IsCompact s) {ρ : ℝ} (hρ : 0 < ρ) :
∃ (n : ℕ) (c : Fin n → A), (∀ i, c i ∈ s) ∧
∀ a : Y → A, Measurable a → (∀ y, a y ∈ s) →
∃ f : Y → Fin n, Measurable f ∧ ∀ y, dist (a y) (c (f y)) < ρ := by
classical
obtain ⟨u, hus, hu, hcover⟩ := hs.finite_cover_balls hρ
let t := hu.toFinset
let e : Fin t.card ≃ t := t.equivFin.symm
let c : Fin t.card → A := fun i => (e i).val
have hc (i : Fin t.card) : c i ∈ s := hus (by simpa only [t, hu.mem_toFinset] using (e i).property)
refine ⟨t.card, c, hc, ?_⟩
intro a ham has
have he (y : Y) : ∃ i, dist (a y) (c i) < ρ := by
obtain ⟨v, hv⟩ := Set.mem_iUnion.mp (hcover (has y))
obtain ⟨hvu, hv⟩ := Set.mem_iUnion.mp hv
have hvt : v ∈ t := by simpa only [t, hu.mem_toFinset] using hvu
refine ⟨e.symm ⟨v, hvt⟩, ?_⟩
simpa only [c, Equiv.apply_symm_apply, Metric.mem_ball] using hv
exact finite_measurable_choice (fun y i => dist (a y) (c i) < ρ)
(fun _ => measurableSet_lt (ham.dist measurable_const) measurable_const) he
end EuclideanFiveColor.Quantize
namespace EuclideanFiveColor.CompactFunctions
section
open MeasureTheory
open scoped BigOperators
variable {K X Y : Type*} [SMul K X] [MeasurableSpace X] [MeasurableSpace Y]
lemma combination_dist {r : ℕ} (F : Fin r → ℂ) (a b : Fin r → ℂ) :
dist (∑ i, a i * F i) (∑ i, b i * F i) ≤ dist a b * ∑ i, ‖F i‖ := by
rw [dist_eq_norm, ← Finset.sum_sub_distrib]
calc
_ ≤ ∑ i, ‖a i * F i - b i * F i‖ := norm_sum_le _ _
_ ≤ ∑ i, dist a b * ‖F i‖ := Finset.sum_le_sum fun i _ => by
rw [← sub_mul, norm_mul]
exact mul_le_mul_of_nonneg_right (by simpa only [dist_eq_norm] using dist_le_pi_dist a b i) (norm_nonneg _)
_ = _ := by rw [Finset.mul_sum]
/-- Functional calculus for an individual compact function. Quantizing the
bounded coefficient arrays proves this directly, without a spectral theorem. -/
lemma compact_lipschitz {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y} {H : X → ℂ}
[MeasurableConstSMul K X] (hq : Measurable q) (hHm : Measurable H)
(hH : Compact (K := K) μ q H) (f : ℂ → ℂ) (L : NNReal) (hLip : LipschitzWith L f) :
Compact (K := K) μ q (fun x => f (H x)) := by
intro ε hε
let τ := ε/(4*((L : ℝ)+1))
have hτ : 0 < τ := by dsimp [τ]; positivity
obtain ⟨r, B, C, F, hB, hC, hm, hb, ha⟩ := hH τ hτ
let η := τ/(C+1)
have hη : 0 < η := by dsimp [η]; positivity
have hηC : η*C ≤ τ := by
dsimp [η]
rw [div_mul_eq_mul_div, div_le_iff₀ (by positivity : 0 < C+1)]
nlinarith
have hs : IsCompact {a : Fin r → ℂ | ‖a‖ ≤ B} := by
simpa only [Metric.closedBall, dist_zero_right] using isCompact_closedBall (0 : Fin r → ℂ) B
obtain ⟨n, c, hc, hquant⟩ := Quantize.compact_quantization (Y := Y) hs hη
let J : Fin n → X → ℂ := fun i x => f (∑ j, c i j * F j x)
have hjm (i : Fin n) : Measurable (J i) := hLip.continuous.measurable.comp
(Finset.measurable_sum _ (fun j _ => measurable_const.mul (hm j)))
let R := ‖f 0‖ + (L : ℝ)*(B*C)
have hR : 0 ≤ R := by dsimp [R]; positivity
have hJb (i : Fin n) (x : X) : ‖J i x‖ ≤ R := by
have hnorm : ‖∑ j, c i j * F j x‖ ≤ B*C := module_bound _ _ hB (hc i) (hb x)
have hl := hLip.dist_le_mul (∑ j, c i j * F j x) 0
rw [dist_zero_right] at hl
have ht : ‖J i x‖ ≤ dist (J i x) (f 0) + ‖f 0‖ := by
simpa only [dist_eq_norm, sub_add_cancel] using norm_add_le (J i x - f 0) (f 0)
dsimp [J, R] at *
nlinarith [mul_le_mul_of_nonneg_left hnorm L.coe_nonneg]
refine ⟨n, 1, n*R, J, by norm_num, mul_nonneg (Nat.cast_nonneg _) hR, hjm, ?_, ?_⟩
· intro x
simpa using (Finset.sum_le_sum (s := Finset.univ) fun i _ => hJb i x)
· intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
obtain ⟨b, hbm, hbd⟩ := hquant a ham hab
let A : Y → Fin n → ℂ := fun y i => if b y = i then 1 else 0
have hAm : Measurable A := Measurable.of_eval (fun i =>
measurable_const.piecewise (hbm (measurableSet_singleton i)) measurable_const)
have hAb (y : Y) : ‖A y‖ ≤ 1 := by
rw [pi_norm_le_iff_of_nonneg (by norm_num)]
intro i
dsimp [A]
split_ifs <;> norm_num
let F₀ : X → ℂ := fun x => ∑ i, a (q x) i * F i x
let F₁ : X → ℂ := fun x => ∑ i, c (b (q x)) i * F i x
have hF₁ : Measurable F₁ := Finset.measurable_sum _ (fun i _ =>
((measurable_of_countable (fun j => c j i)).comp (hbm.comp hq)).mul (hm i))
have hsel (x : X) : (∑ i, A (q x) i * J i x) = f (F₁ x) := by
rw [Finset.sum_eq_single (b (q x))]
· simp [A, J, F₁]
· intro i _ hi
simp [A, Ne.symm hi]
· simp
have hdist (x : X) : dist (F₀ x) (F₁ x) ≤ τ := by
calc
_ ≤ dist (a (q x)) (c (b (q x))) * ∑ i, ‖F i x‖ := combination_dist _ _ _
_ ≤ η*C := mul_le_mul (hbd (q x)).le (hb x) (Finset.sum_nonneg fun _ _ => norm_nonneg _) hη.le
_ ≤ τ := hηC
have hmajor (x : X) : dist (f (H (k • x))) (f (F₁ x))^2 ≤
2*(L : ℝ)^2*(dist (H (k • x)) (F₀ x)^2 + τ^2) := by
have ht := (dist_triangle (H (k • x)) (F₀ x) (F₁ x)).trans
(add_le_add le_rfl (hdist x))
have hl := (hLip.dist_le_mul (H (k • x)) (F₁ x)).trans
(mul_le_mul_of_nonneg_left ht L.coe_nonneg)
have hs₀ : dist (f (H (k • x))) (f (F₁ x))^2 ≤
((L : ℝ)*(dist (H (k • x)) (F₀ x)+τ))^2 :=
pow_le_pow_left₀ dist_nonneg hl 2
have hsq : (dist (H (k • x)) (F₀ x)+τ)^2 ≤ 2*(dist (H (k • x)) (F₀ x)^2+τ^2) := by
nlinarith [sq_nonneg (dist (H (k • x)) (F₀ x)-τ)]
have hmul := mul_le_mul_of_nonneg_left hsq (sq_nonneg (L : ℝ))
nlinarith
have hiM : Integrable (fun x => 2*(L : ℝ)^2*(dist (H (k • x)) (F₀ x)^2+τ^2)) μ :=
(hai.add (integrable_const _)).const_mul _
have hi : Integrable (fun x => dist (f (H (k • x))) (f (F₁ x))^2) μ :=
hiM.mono' (((hLip.continuous.measurable.comp (hHm.comp (measurable_const_smul k))).dist
(hLip.continuous.measurable.comp hF₁)).pow_const 2).aestronglyMeasurable
(Filter.Eventually.of_forall fun x => by simpa only [Real.norm_eq_abs, abs_sq] using hmajor x)
have hLτ : (L : ℝ)*τ < ε/4 := by
dsimp [τ]
rw [← mul_div_assoc, div_lt_iff₀ (by positivity : 0 < 4*((L : ℝ)+1))]
nlinarith
have he : (∫ x, dist (f (H (k • x))) (f (F₁ x))^2 ∂μ) < ε^2 := by
calc
_ ≤ ∫ x, 2*(L : ℝ)^2*(dist (H (k • x)) (F₀ x)^2+τ^2) ∂μ := integral_mono hi hiM hmajor
_ = 2*(L : ℝ)^2*((∫ x, dist (H (k • x)) (F₀ x)^2 ∂μ)+τ^2) := by
rw [integral_const_mul, integral_add hai (integrable_const _), integral_const,
probReal_univ, smul_eq_mul, one_mul]
_ ≤ 4*((L : ℝ)*τ)^2 := by
have htt := mul_le_mul_of_nonneg_left hae.le (by positivity : 0 ≤ 2*(L : ℝ)^2)
dsimp [F₀]
nlinarith
_ < ε^2 := by
have hsq := (sq_lt_sq₀ (mul_nonneg L.coe_nonneg hτ.le) (by positivity : 0 ≤ ε/4)).mpr hLτ
nlinarith [sq_pos_of_pos hε]
refine ⟨A, hAm, hAb, ?_, ?_⟩
· simpa only [hsel] using hi
· simpa only [hsel] using he
end
section
open MeasureTheory Filter
open scoped BigOperators Topology
variable {K X Y : Type*} [SMul K X] [MeasurableSpace X] [MeasurableSpace Y]
lemma compact_of_bounded_pointwise_limit {μ : Measure X} [IsProbabilityMeasure μ]
{q : X → Y} {H : X → ℂ} {Hn : ℕ → X → ℂ} [MeasurableConstSMul K X]
(hq : Measurable q) (hHm : Measurable H) (hHnm : ∀ n, Measurable (Hn n))
(hHnc : ∀ n, Compact (K := K) μ q (Hn n))
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
(C : ℝ) (hC : 0 ≤ C) (hHb : ∀ x, ‖H x‖ ≤ C) (hHnb : ∀ n x, ‖Hn n x‖ ≤ C)
(hlim : ∀ᵐ x ∂μ, Tendsto (fun n => Hn n x) atTop (𝓝 (H x))) :
Compact (K := K) μ q H := by
have hdist (n : ℕ) (x : X) : dist (H x) (Hn n x)^2 ≤ (2*C)^2 :=
(sq_le_sq₀ dist_nonneg (mul_nonneg (by norm_num) hC)).mpr
((dist_le_norm_add_norm _ _).trans (by linarith [hHb x, hHnb n x]))
have hi (n : ℕ) : Integrable (fun x => dist (H x) (Hn n x)^2) μ :=
Integrable.of_bound ((hHm.dist (hHnm n)).pow_const 2).aestronglyMeasurable ((2*C)^2)
(Filter.Eventually.of_forall fun x => by simpa only [Real.norm_eq_abs, abs_sq] using hdist n x)
have hl : Tendsto (fun n => ∫ x, dist (H x) (Hn n x)^2 ∂μ) atTop (𝓝 0) := by
simpa only [integral_zero] using tendsto_integral_of_dominated_convergence
(f := fun _ : X => (0 : ℝ)) (fun _ : X => (2*C)^2)
(fun n => (hi n).aestronglyMeasurable) (integrable_const _) (fun n =>
Filter.Eventually.of_forall fun x => by simpa only [Real.norm_eq_abs, abs_sq] using hdist n x)
(hlim.mono fun x hx => by
have ht := ((tendsto_const_nhds : Tendsto (fun _ : ℕ => H x) atTop (𝓝 (H x))).dist hx).pow 2
simpa only [dist_self, zero_pow (by norm_num : (2 : ℕ) ≠ 0)] using ht)
apply compact_of_l2_approximation hq hHm hpres
intro δ hδ
obtain ⟨n, hn⟩ := (hl.eventually (gt_mem_nhds (sq_pos_of_pos hδ))).exists
exact ⟨Hn n, hHnm n, hHnc n, hi n, hn⟩
lemma compact_closed_preimage {μ : Measure X} [IsProbabilityMeasure μ]
{q : X → Y} {H : X → ℂ} [MeasurableConstSMul K X]
(hq : Measurable q) (hH : Measurable H) (hC : Compact (K := K) μ q H)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
(t : Set ℂ) (ht : IsClosed t) :
Compact (K := K) μ q ((H ⁻¹' t).indicator (fun _ => (1 : ℂ))) := by
let δ : ℕ → ℝ := fun n => 1/((n : ℝ)+1)
have hδ (n : ℕ) : 0 < δ n := by dsimp [δ]; positivity
let f : ℕ → ℂ → ℂ := fun n z => ((thickenedIndicator (hδ n) t z : ℝ) : ℂ)
have hf (n : ℕ) : LipschitzWith ((δ n).toNNReal⁻¹) (f n) := by
have h := Complex.isometry_ofReal.lipschitzWith.comp
(NNReal.isometry_coe.lipschitzWith.comp (lipschitzWith_thickenedIndicator (hδ n) t))
simpa only [one_mul, Function.comp_def] using h
have hfb (n : ℕ) (z : ℂ) : ‖f n z‖ ≤ 1 := by
dsimp [f]
rw [Complex.norm_real, Real.norm_eq_abs, abs_of_nonneg (NNReal.coe_nonneg _)]
exact_mod_cast thickenedIndicator_le_one (hδ n) t z
have hfl (z : ℂ) : Tendsto (fun n => f n z) atTop (𝓝 (t.indicator (fun _ => (1 : ℂ)) z)) := by
have hh := (tendsto_pi_nhds.mp (thickenedIndicator_tendsto_indicator_closure hδ
tendsto_one_div_add_atTop_nhds_zero_nat t)) z
rw [ht.closure_eq] at hh
have h := Complex.continuous_ofReal.continuousAt.tendsto.comp
(NNReal.continuous_coe.continuousAt.tendsto.comp hh)
have he : (((t.indicator (fun _ => (1 : NNReal)) z : NNReal) : ℝ) : ℂ) =
t.indicator (fun _ => (1 : ℂ)) z := by
by_cases hz : z ∈ t <;> simp [hz]
change Tendsto (fun n => f n z) atTop (𝓝 _) at h
rwa [he] at h
have hiM : Measurable ((H ⁻¹' t).indicator (fun _ => (1 : ℂ))) :=
measurable_const.indicator (hH ht.measurableSet)
apply compact_of_bounded_pointwise_limit hq hiM
(fun n => (hf n).continuous.measurable.comp hH)
(fun n => compact_lipschitz hq hH hC (f n) _ (hf n)) hpres 1 (by norm_num)
· intro x
by_cases hx : H x ∈ t <;> simp [Set.indicator, hx]
· intro n x
exact hfb n (H x)
· exact Filter.Eventually.of_forall fun x => by
have he : (H ⁻¹' t).indicator (fun _ => (1 : ℂ)) x =
t.indicator (fun _ => (1 : ℂ)) (H x) := by
by_cases hx : H x ∈ t <;> simp [hx]
simpa only [Function.comp_apply, he] using hfl (H x)
lemma compact_neg {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y} {H : X → ℂ}
[MeasurableConstSMul K X]
(hq : Measurable q) (hm : Measurable H) (hc : Compact (K := K) μ q H) :
Compact (K := K) μ q (fun x => -H x) := by
have h := compact_lipschitz hq hm hc (fun z : ℂ => -z) 1 isometry_neg.lipschitzWith
exact h
omit [MeasurableSpace X] in
lemma indicator_one_bound (s : Set X) (x : X) : ‖s.indicator (fun _ => (1 : ℂ)) x‖ ≤ 1 := by
by_cases hx : x ∈ s <;> simp [hx]
lemma compact_compl {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y} [MeasurableConstSMul K X]
(hq : Measurable q) {s : Set X} (hm : MeasurableSet s)
(hc : Compact (K := K) μ q (s.indicator (fun _ => (1 : ℂ)))) :
Compact (K := K) μ q (sᶜ.indicator (fun _ => (1 : ℂ))) := by
have hn := compact_neg hq (measurable_const.indicator hm) hc
have ha := compact_add hq measurable_const (measurable_const.indicator hm).neg
(compact_const (K := K) μ q 1) hn
have he : (fun x => (1 : ℂ) + -(s.indicator (fun _ => 1) x)) = sᶜ.indicator (fun _ => 1) := by
funext x; by_cases hx : x ∈ s <;> simp [hx]
simpa only [Pi.neg_apply, he] using ha
lemma compact_union {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y} [MeasurableConstSMul K X]
(hq : Measurable q) {s t : Set X} (hs : MeasurableSet s) (ht : MeasurableSet t)
(hsc : Compact (K := K) μ q (s.indicator (fun _ => (1 : ℂ))))
(htc : Compact (K := K) μ q (t.indicator (fun _ => (1 : ℂ)))) :
Compact (K := K) μ q ((s ∪ t).indicator (fun _ => (1 : ℂ))) := by
have hsm : Measurable (s.indicator (fun _ => (1 : ℂ))) := measurable_const.indicator hs
have htm : Measurable (t.indicator (fun _ => (1 : ℂ))) := measurable_const.indicator ht
have ha := compact_add hq hsm htm hsc htc
have hp := compact_mul hq hsm htm 1 (by norm_num) (indicator_one_bound t) hsc htc
have hn := compact_neg hq (hsm.mul htm) hp
have hh := compact_add hq (hsm.add htm) (hsm.mul htm).neg ha hn
have he : (fun x => s.indicator (fun _ => (1 : ℂ)) x + t.indicator (fun _ => 1) x +
-(s.indicator (fun _ => 1) x * t.indicator (fun _ => 1) x)) =
(s ∪ t).indicator (fun _ => 1) := by
funext x; by_cases hxs : x ∈ s <;> by_cases hxt : x ∈ t <;> simp [hxs, hxt]
simpa only [Pi.neg_apply, Pi.add_apply, Pi.mul_apply, he] using hh
lemma compact_iUnion {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y}
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
(s : ℕ → Set X) (hm : ∀ n, MeasurableSet (s n))
(hc : ∀ n, Compact (K := K) μ q ((s n).indicator (fun _ => (1 : ℂ)))) :
Compact (K := K) μ q ((⋃ n, s n).indicator (fun _ => (1 : ℂ))) := by
let D : ℕ → Set X := fun n => ⋃ i ∈ Finset.range n, s i
have hDm (n : ℕ) : MeasurableSet (D n) := MeasurableSet.iUnion (fun i => MeasurableSet.iUnion (fun _ => hm i))
have hDc (n : ℕ) : Compact (K := K) μ q ((D n).indicator (fun _ => (1 : ℂ))) := by
induction n with
| zero => simpa [D] using compact_const (K := K) μ q 0
| succ n ih =>
have he : D (n+1) = s n ∪ D n := by simp only [D, Finset.range_add_one, Finset.set_biUnion_insert]
rw [he]
exact compact_union hq (hm n) (hDm n) (hc n) ih
apply compact_of_bounded_pointwise_limit hq (measurable_const.indicator (MeasurableSet.iUnion hm))
(fun n => measurable_const.indicator (hDm n)) hDc hpres 1 (by norm_num)
(indicator_one_bound _) (fun n => indicator_one_bound (D n))
exact Filter.Eventually.of_forall fun x => by
apply tendsto_const_nhds.congr'
by_cases hx : x ∈ ⋃ n, s n
· obtain ⟨i, hi⟩ := Set.mem_iUnion.mp hx
filter_upwards [eventually_ge_atTop (i+1)] with n hn
have hix : x ∈ D n := Set.mem_iUnion.mpr ⟨i, Set.mem_iUnion.mpr ⟨by simpa using hn, hi⟩⟩
simp [hx, hix]
· have hnx (n : ℕ) : x ∉ D n := by
intro hh
obtain ⟨i, hi⟩ := Set.mem_iUnion.mp hh
obtain ⟨_, hi⟩ := Set.mem_iUnion.mp hi
exact hx (Set.mem_iUnion.mpr ⟨i, hi⟩)
exact Filter.Eventually.of_forall fun n => by simp [hx, hnx n]
@[instance_reducible] def compactSigma (μ : Measure X) [IsProbabilityMeasure μ] (q : X → Y)
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ) : MeasurableSpace X where
MeasurableSet' s := MeasurableSet s ∧ Compact (K := K) μ q (s.indicator (fun _ => (1 : ℂ)))
measurableSet_empty := ⟨MeasurableSet.empty, by simpa using compact_const (K := K) μ q 0⟩
measurableSet_compl s hs := ⟨hs.1.compl, compact_compl hq hs.1 hs.2⟩
measurableSet_iUnion s hs := ⟨MeasurableSet.iUnion (fun n => (hs n).1),
compact_iUnion hq hpres s (fun n => (hs n).1) (fun n => (hs n).2)⟩
lemma compactSigma_le (μ : Measure X) [IsProbabilityMeasure μ] (q : X → Y)
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ) :
compactSigma μ q hq hpres ≤ ‹MeasurableSpace X› := fun _ hs => hs.1
lemma measurable_compactSigma {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y}
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
{H : X → ℂ} (hm : Measurable H) (hc : Compact (K := K) μ q H) :
@Measurable X ℂ (compactSigma μ q hq hpres) inferInstance H := by
rw [measurable_iff_comap_le]
change MeasurableSpace.comap H (borel ℂ) ≤ compactSigma μ q hq hpres
rw [borel_eq_generateFrom_isClosed, MeasurableSpace.comap_generateFrom]
apply MeasurableSpace.generateFrom_le
rintro _ ⟨t, ht, rfl⟩
exact ⟨hm ht.measurableSet, compact_closed_preimage hq hm hc hpres t ht⟩
end
section
open MeasureTheory Filter
open scoped BigOperators Topology
variable {K X Y : Type*} [SMul K X] [MeasurableSpace X] [MeasurableSpace Y]
lemma compact_simple {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y}
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
(f : @SimpleFunc X (compactSigma μ q hq hpres) ℂ) :
Compact (K := K) μ q f := by
apply @SimpleFunc.induction X ℂ (compactSigma μ q hq hpres) _
(fun f => Compact (K := K) μ q f) ?_ ?_ f
· intro c s hs
have hsm : MeasurableSet s := hs.1
have hsc : Compact (K := K) μ q (s.indicator (fun _ => (1 : ℂ))) := hs.2
have hh := compact_mul hq measurable_const (measurable_const.indicator hsm)
1 (by norm_num) (indicator_one_bound s) (compact_const (K := K) μ q c) hsc
convert hh using 1
funext x
by_cases hx : x ∈ s <;> simp [hx]
· intro f g _ hf hg
exact compact_add hq ((@SimpleFunc.measurable X ℂ (compactSigma μ q hq hpres) _ f).mono (compactSigma_le μ q hq hpres) le_rfl)
((@SimpleFunc.measurable X ℂ (compactSigma μ q hq hpres) _ g).mono (compactSigma_le μ q hq hpres) le_rfl) hf hg
lemma compact_of_measurable_compactSigma {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y}
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
{H : X → ℂ} (hm : @Measurable X ℂ (compactSigma μ q hq hpres) inferInstance H)
(C : ℝ) (hC : 0 ≤ C) (hb : ∀ x, ‖H x‖ ≤ C) :
Compact (K := K) μ q H := by
let F : ℕ → @SimpleFunc X (compactSigma μ q hq hpres) ℂ :=
@SimpleFunc.approxOn ℂ X _ _ _ (compactSigma μ q hq hpres) H hm Set.univ 0 (Set.mem_univ 0) inferInstance
have hHm : Measurable H := hm.mono (compactSigma_le μ q hq hpres) le_rfl
have hFm (n : ℕ) : Measurable (F n) :=
(@SimpleFunc.measurable X ℂ (compactSigma μ q hq hpres) _ (F n)).mono (compactSigma_le μ q hq hpres) le_rfl
apply compact_of_bounded_pointwise_limit hq hHm hFm
(fun n => compact_simple hq hpres (F n)) hpres (2*C) (by positivity)
· intro x; have := hb x; linarith
· intro n x
exact (@SimpleFunc.norm_approxOn_zero_le X ℂ (compactSigma μ q hq hpres) _ _ _ H hm Set.univ (Set.mem_univ 0) inferInstance x n).trans (by linarith [hb x])
· exact Filter.Eventually.of_forall fun x => @SimpleFunc.tendsto_approxOn ℂ X _ _ _ (compactSigma μ q hq hpres) H hm Set.univ 0
(Set.mem_univ 0) inferInstance x (by simp)
lemma compact_base {μ : Measure X} {q : X → Y} [SMul K Y] [MeasurableConstSMul K Y]
(hqcov : ∀ k : K, ∀ᵐ x ∂μ, q (k • x) = k • q x)
(b : Y → ℂ) (hbm : Measurable b) (B : ℝ) (hB : 0 ≤ B) (hb : ∀ y, ‖b y‖ ≤ B) :
Compact (K := K) μ q (b ∘ q) := by
intro ε hε
apply at_of_finite (I := Unit) B 1 (fun _ _ => 1) hB (by norm_num) (fun _ => measurable_const)
· intro x; simp
· intro k
refine ⟨fun y _ => b (k • y), Measurable.of_eval (fun _ => hbm.comp (measurable_const_smul k)), ?_, ?_, ?_⟩
· intro y; simpa using hb (k • y)
· apply (integrable_zero X ℝ μ).congr
filter_upwards [hqcov k] with x hx
simp [Function.comp_apply, hx]
· have he : (fun x => dist ((b ∘ q) (k • x)) (∑ _ : Unit, b (k • q x) * 1)^2) =ᵐ[μ]
(fun _ => (0 : ℝ)) := by
filter_upwards [hqcov k] with x hx
simp [Function.comp_apply, hx]
rw [integral_congr_ae he, integral_zero]
exact sq_pos_of_pos hε
end
section
open MeasureTheory Filter
open scoped BigOperators Topology
variable {K X Y : Type*} [Monoid K] [MulAction K X] [MulAction K Y]
[MeasurableSpace X] [MeasurableSpace Y]
omit [MulAction K Y] in
lemma compact_shift {μ : Measure X} {q : X → Y} {H : X → ℂ}
(hc : Compact (K := K) μ q H) (g : K) :
Compact (K := K) μ q (fun x => H (g • x)) := by
intro ε hε
obtain ⟨r, B, C, Hf, hB, hC, hm, hb, ha⟩ := hc ε hε
refine ⟨r, B, C, Hf, hB, hC, hm, hb, ?_⟩
intro k
simpa only [smul_smul] using ha (g*k)
omit [MulAction K Y] in
lemma measurable_shift_compactSigma {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y}
[MeasurableConstSMul K X] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ) (g : K) :
@Measurable X X (compactSigma μ q hq hpres) (compactSigma μ q hq hpres) (fun x => g • x) := by
intro s hs
refine ⟨(measurable_const_smul g) hs.1, ?_⟩
have hh := compact_shift hs.2 g
have he : (fun x => (s.indicator (fun _ => (1 : ℂ))) (g • x)) =
((fun x : X => g • x) ⁻¹' s).indicator (fun _ => 1) := by
funext x; by_cases hx : g • x ∈ s <;> simp [hx]
rwa [he] at hh
lemma measurable_base_compactSigma {μ : Measure X} [IsProbabilityMeasure μ] {q : X → Y}
[MeasurableConstSMul K X] [MeasurableConstSMul K Y] (hq : Measurable q)
(hpres : ∀ k : K, MeasurePreserving (fun x : X => k • x) μ μ)
(hqcov : ∀ k : K, ∀ᵐ x ∂μ, q (k • x) = k • q x) :
@Measurable X Y (compactSigma μ q hq hpres) inferInstance q := by
intro s hs
refine ⟨hq hs, ?_⟩
have hh := compact_base hqcov (s.indicator (fun _ => (1 : ℂ)))
(measurable_const.indicator hs) 1 (by norm_num) (indicator_one_bound s)
have he : (s.indicator (fun _ => (1 : ℂ))) ∘ q =
(q ⁻¹' s).indicator (fun _ => 1) := by
funext x; by_cases hx : q x ∈ s <;> simp [Function.comp_apply, hx]
rwa [he] at hh
end
/-! Bounded integral kernels yield finite-module orbit approximation.
This implements the compact-tower construction without spectral projections:
approximate the invariant kernel by finite rectangles first. -/
open MeasureTheory ProbabilityTheory ConditionalFiber
open scoped BigOperators
variable {K X Z Y : Type*} [SMul K X] [SMul K Z]
[MeasurableSpace X] [MeasurableSpace Z] [MeasurableSpace Y]
[StandardBorelSpace X] [Nonempty X] [StandardBorelSpace Z] [Nonempty Z]
[MeasurableConstSMul K X] [MeasurableConstSMul K Z]
/-- Conditional integration projects an ambient finite module to the actual
new factor, without sacrificing its uniform coefficient or basis bounds. -/
lemma compact_descend (μ : Measure X) [IsProbabilityMeasure μ]
(π : X → Z) (hπ : Measurable π) (p : Z → Y) (hp : Measurable p)
(hπcov : ∀ k : K, ∀ᵐ x ∂μ, π (k • x) = k • π x)
(H : Z → ℂ) (hH : Measurable H) (D : ℝ) (_hD : 0 ≤ D)
(hHD : ∀ z, ‖H z‖ ≤ D)
(hc : Compact (K := K) μ (p ∘ π) (H ∘ π)) :
Compact (K := K) (μ.map π) p H := by
let κ := condDistrib id π μ
let ν := μ.map π
let : IsProbabilityMeasure ν := inferInstance
intro ε hε
obtain ⟨r, B, C, F, hB, hC, hFm, hFb, ha⟩ := hc ε hε
have hFC (i : Fin r) (x : X) : ‖F i x‖ ≤ C :=
(Finset.single_le_sum (fun j _ => norm_nonneg (F j x)) (Finset.mem_univ i)).trans (hFb x)
have hFi (z : Z) (i : Fin r) : Integrable (F i) (κ z) :=
Integrable.of_bound (hFm i).aestronglyMeasurable C (Filter.Eventually.of_forall (hFC i))
let G : Fin r → Z → ℂ := fun i z => ∫ x, F i x ∂κ z
have hGm (i : Fin r) : Measurable (G i) :=
(hFm i).stronglyMeasurable.integral_kernel.measurable
have hGb (z : Z) : ∑ i, ‖G i z‖ ≤ C := by
calc
∑ i, ‖G i z‖ ≤ ∑ i, ∫ x, ‖F i x‖ ∂κ z :=
Finset.sum_le_sum fun i _ => norm_integral_le_integral_norm _
_ = ∫ x, ∑ i, ‖F i x‖ ∂κ z :=
(integral_finsetSum _ (fun i _ => (hFi z i).norm)).symm
_ ≤ ∫ _x, C ∂κ z := integral_mono
(integrable_finsetSum _ (fun i _ => (hFi z i).norm)) (integrable_const C) hFb
_ = C := by simp
refine ⟨r, B, C, G, hB, hC, hGm, hGb, ?_⟩
intro k
obtain ⟨a, ham, hab, hai, hae⟩ := ha k
let E : X → ℂ := fun x => H (π (k • x)) - ∑ i, a (p (π x)) i * F i x
have hEm : Measurable E := ((hH.comp hπ).comp (measurable_const_smul k)).sub
(Finset.measurable_sum _ (fun i _ =>
(((measurable_pi_iff.mp ham) i).comp (hp.comp hπ)).mul (hFm i)))
have hEB (x : X) : ‖E x‖ ≤ D+B*C :=
(norm_sub_le _ _).trans (add_le_add (hHD _) (module_bound _ _ hB (hab _) (hFb x)))
have hEi (z : Z) : Integrable E (κ z) :=
Integrable.of_bound hEm.aestronglyMeasurable (D+B*C) (Filter.Eventually.of_forall hEB)
have hE₂i (z : Z) : Integrable (fun x => ‖E x‖^2) (κ z) :=
Integrable.of_bound (hEm.norm.pow_const 2).aestronglyMeasurable ((D+B*C)^2)
(Filter.Eventually.of_forall fun x => by
simpa only [Real.norm_eq_abs, abs_sq] using
pow_le_pow_left₀ (norm_nonneg _) (hEB x) 2)
have hE₂μ : Integrable (fun x => ‖E x‖^2) μ := by
simpa only [E, Function.comp_apply, dist_eq_norm] using hai
have hEeq : ∀ᵐ z ∂ν, (∫ x, E x ∂κ z) = H (k • z) - ∑ i, a (p z) i * G i z := by
filter_upwards [ae_in_own_fiber μ π hπ, ae_fiber_of_ae μ π hπ (hπcov k)] with z hz hc'
have he : E =ᵐ[κ z] (fun x => H (k • z) - ∑ i, a (p z) i * F i x) := by
filter_upwards [hz, hc'] with x hx hx'
dsimp only [E]
rw [hx', hx]
rw [integral_congr_ae he, integral_sub (integrable_const _) (integrable_finsetSum _
fun i _ => (hFi z i).const_mul _), integral_finsetSum _
(fun i _ => (hFi z i).const_mul _)]
simp only [integral_const, probReal_univ, one_smul, integral_const_mul, G]
have hdistm : Measurable (fun z => dist (H (k • z)) (∑ i, a (p z) i * G i z)^2) :=
((hH.comp (measurable_const_smul k)).dist
(Finset.measurable_sum _ (fun i _ => (((measurable_pi_iff.mp ham) i).comp hp).mul (hGm i)))).pow_const 2
have hdistB (z : Z) : dist (H (k • z)) (∑ i, a (p z) i * G i z)^2 ≤ (D+B*C)^2 := by
apply pow_le_pow_left₀ dist_nonneg
exact (dist_le_norm_add_norm _ _).trans
(add_le_add (hHD _) (module_bound _ _ hB (hab _) (hGb z)))
have hdisti : Integrable (fun z => dist (H (k • z)) (∑ i, a (p z) i * G i z)^2) ν :=
Integrable.of_bound hdistm.aestronglyMeasurable ((D+B*C)^2)
(Filter.Eventually.of_forall fun z => by simpa only [Real.norm_eq_abs, abs_sq] using hdistB z)
refine ⟨a, ham, hab, hdisti, ?_⟩
have hle : (∫ z, dist (H (k • z)) (∑ i, a (p z) i * G i z)^2 ∂ν) ≤
∫ z, (∫ x, ‖E x‖^2 ∂κ z) ∂ν := by
apply integral_mono_ae hdisti (integrable_fiber_integral μ π hπ _ hE₂μ)
filter_upwards [hEeq] with z hz
rw [dist_eq_norm, ← hz]
exact KernelCompact.norm_integral_sq (κ z) E (hEi z) (hE₂i z)
rw [integral_fiber μ π hπ _ hE₂μ] at hle
apply hle.trans_lt
simpa only [E, Function.comp_apply, dist_eq_norm] using hae
end EuclideanFiveColor.CompactFunctions
end
end OAI