On complemented subspaces of L1[0,1]L_1[0,1]

PL1/HeadTailNoise.lean

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1import PL1.HeadTail2import PL1.L1Multiplication34/-! # Exact noise factorization on disjoint finite coordinates -/56noncomputable section7open MeasureTheory8open scoped ENNReal NNReal9namespace PL1.HeadTail10open Walsh1112variable {K : Type*} [RCLike K]1314theorem DependsOn.convolution {S : Finset ℕ} {f : Walsh.Group → K}15    (hf : DependsOn S f) (ν : Measure Walsh.Group) :16    DependsOn S (fun x => ∫ y, f (x * y) ∂ν) := by17  intro x z hxz18  apply integral_congr_ae19  exact ae_of_all _ (fun y => hf _ _ (fun j hj =>20    congrArg (fun a => a * y j) (hxz j hj)))2122/-- The continuous representative of the actual product-noise convolution. -/23def noiseContinuous (K : Type*) [RCLike K] (rates : ℕ → ℝ≥0) (u : ℝ≥0)24    (S : Finset ℕ) (f : C(Walsh.Group, K)) (hf : DependsOn S f) : C(Walsh.Group, K) :=25  ⟨fun x => ∫ y, f (x * y) ∂Noise.measure rates u, (hf.convolution _).continuous⟩2627theorem noiseContinuous_apply (rates : ℕ → ℝ≥0) (u : ℝ≥0)28    (S : Finset ℕ) (f : C(Walsh.Group, K)) (hf : DependsOn S f) (x : Walsh.Group) :29    noiseContinuous K rates u S f hf x = ∫ y, f (x * y) ∂Noise.measure rates u := rfl3031theorem noiseContinuous_dependsOn (rates : ℕ → ℝ≥0) (u : ℝ≥0)32    (S : Finset ℕ) (f : C(Walsh.Group, K)) (hf : DependsOn S f) :33    DependsOn S (noiseContinuous K rates u S f hf) := hf.convolution _3435theorem noiseContinuous_toLp (rates : ℕ → ℝ≥0) (u : ℝ≥0)36    (S : Finset ℕ) (f : C(Walsh.Group, K)) (hf : DependsOn S f) :37    ContinuousMap.toLp 1 haar K (noiseContinuous K rates u S f hf) =38      Noise.noiseL1 K rates u (ContinuousMap.toLp 1 haar K f) := by39  apply Lp.ext40  filter_upwards [ContinuousMap.coeFn_toLp (p := 1) (𝕜 := K) haar (noiseContinuous K rates u S f hf),41    convolutionL1_ae_eq_integral_of_ae_eq (Noise.measure rates u)42      (ContinuousMap.coeFn_toLp (p := 1) (𝕜 := K) haar f)] with x hx hy43  exact hx.trans hy.symm4445/-- Product-noise factorization is valid for the actual independent coordinate measures. -/46theorem integral_noise_smul (rates : ℕ → ℝ≥0) (u : ℝ≥0)47    {S T : Finset ℕ} (hST : Disjoint S T)48    (f : C(Walsh.Group, K)) (q : C(Walsh.Group, ℝ))49    (hf : DependsOn S f) (hq : DependsOn T q) (x : Walsh.Group) :50    (∫ y, q (x * y) • f (x * y) ∂Noise.measure rates u) =51      (∫ y, q (x * y) ∂Noise.measure rates u) •52        ∫ y, f (x * y) ∂Noise.measure rates u := by53  borelize K54  exact (indepFun_noise rates u hST.symm (hq.translate x) (hf.translate x)).integral_fun_smul_eq_smul_integral55    (hq.translate x).continuous.aestronglyMeasurable (hf.translate x).continuous.aestronglyMeasurable5657/-- The factorization descends to the actual Haar L1 quotient and multiplier operator. -/58theorem noiseL1_multiplier_toLp (rates : ℕ → ℝ≥0) (u : ℝ≥0)59    {S T : Finset ℕ} (hST : Disjoint S T)60    (f : C(Walsh.Group, K)) (q : C(Walsh.Group, ℝ))61    (hf : DependsOn S f) (hq : DependsOn T q) :62    Noise.noiseL1 K rates u (L1Multiplication.multiplier K q (ContinuousMap.toLp 1 haar K f)) =63      L1Multiplication.multiplier K (noiseContinuous ℝ rates u T q hq)64        (Noise.noiseL1 K rates u (ContinuousMap.toLp 1 haar K f)) := by65  have hprod : L1Multiplication.multiplier K q (ContinuousMap.toLp 1 haar K f) =ᵐ[haar]66      fun x => q x • f x := by67    filter_upwards [L1Multiplication.coeFn_multiplier K q (ContinuousMap.toLp 1 haar K f),68      ContinuousMap.coeFn_toLp (p := 1) (𝕜 := K) haar f] with x hx hy69    rw [hx, hy]70  apply Lp.ext71  filter_upwards [convolutionL1_ae_eq_integral_of_ae_eq (Noise.measure rates u) hprod,72    L1Multiplication.coeFn_multiplier K (noiseContinuous ℝ rates u T q hq)73      (Noise.noiseL1 K rates u (ContinuousMap.toLp 1 haar K f)),74    convolutionL1_ae_eq_integral_of_ae_eq (Noise.measure rates u)75      (ContinuousMap.coeFn_toLp (p := 1) (𝕜 := K) haar f)] with x hx hy hz76  change _ = (L1Multiplication.multiplier K (noiseContinuous ℝ rates u T q hq) _) x77  rw [hy]78  change _ = (∫ y, q (x * y) ∂Noise.measure rates u) •79    (Noise.noiseL1 K rates u (ContinuousMap.toLp 1 haar K f)) x80  rw [show (Noise.noiseL1 K rates u (ContinuousMap.toLp 1 haar K f)) x = _ from hz]81  exact hx.trans (integral_noise_smul rates u hST f q hf hq x)8283#print axioms noiseL1_multiplier_toLp84end PL1.HeadTail85