import OAI.Probability.FreeIsing.Conditioning.CopyDifference import OAI.Probability.FreeIsing.Spectral.KoopmanInvolutions import OAI.Probability.FreeIsing.Spectral.SpectralClosure namespace OAI noncomputable section open MeasureTheory namespace Problem367.CopyDifference variable {A B : Type*} [MeasurableSpace A] [MeasurableSpace B] variable {μ : Measure A} {ν : Measure B} [IsProbabilityMeasure μ] variable {p q : B → A} lemma inner_const_one_self : inner ℝ (Lp.const 2 μ (1 : ℝ)) (Lp.const 2 μ (1 : ℝ)) = 1 := by rw [inner_const_one_eq_integral] calc (∫ x, Lp.const 2 μ (1 : ℝ) x ∂μ) = ∫ _ : A, (1 : ℝ) ∂μ := integral_congr_ae (Lp.coeFn_const 2 μ (1 : ℝ)) _ = 1 := by simp lemma centered_source_cover (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) : ∀ f : Lp ℝ 2 μ, ∃ z ∈ centeredL2 μ, operator hp hq z = operator hp hq f := by apply SpectralClosure.source_cover_of_kills_direction (operator hp hq) (innerSL ℝ (Lp.const 2 μ (1 : ℝ))) (Lp.const 2 μ (1 : ℝ)) · exact inner_const_one_self · exact operator_eq_zero_of_ae_const hp hq _ 1 (Lp.coeFn_const 2 μ (1 : ℝ)) lemma rangeClosure_centered_eq (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) : rangeClosure ((operator hp hq).domRestrict (centeredL2 μ)) = rangeClosure (operator hp hq) := by exact SpectralClosure.rangeClosure_domRestrict_eq (operator hp hq) (centeredL2 μ) (centered_source_cover hp hq) lemma norm_restrict_le_of_centered_source (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) (S : Lp ℝ 2 μ →L[ℝ] Lp ℝ 2 μ) (T : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν) (hS : ∀ f ∈ centeredL2 μ, S f ∈ centeredL2 μ) (hT : IsSelfAdjoint T) (hcomm : ∀ f, T (operator hp hq f) = operator hp hq (S f)) {ρ : ℝ} (hρ : 0 ≤ ρ) (hbound : ‖S.restrict hS‖ ≤ ρ) : ‖restrictToRangeClosure (operator hp hq) S T hcomm‖ ≤ ρ := by exact SpectralClosure.norm_restrict_le_of_source_subspace S T (operator hp hq) (centeredL2 μ) hS hT hcomm (centered_source_cover hp hq) hρ hbound section Averaging variable {ι : Type*} [Fintype ι] omit [IsProbabilityMeasure μ] in lemma average_intertwines_apply (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) (τ : ι → A → A) (σ : ι → B → B) (hτ : ∀ i, MeasurePreserving (τ i) μ μ) (hσ : ∀ i, MeasurePreserving (σ i) ν ν) (hpc : ∀ i, p ∘ σ i = τ i ∘ p) (hqc : ∀ i, q ∘ σ i = τ i ∘ q) (f : Lp ℝ 2 μ) : koopmanAverage σ hσ (operator hp hq f) = operator hp hq (koopmanAverage τ hτ f) := by simp only [koopmanAverage, smul_apply, sum_apply, map_smul, map_sum] congr 1 apply Finset.sum_congr rfl intro i hi exact congrArg (fun L : Lp ℝ 2 μ →L[ℝ] Lp ℝ 2 ν => L f) (intertwines hp hq (hτ i) (hσ i) (hpc i) (hqc i)) def averageOnDifferences (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) (τ : ι → A → A) (σ : ι → B → B) (hτ : ∀ i, MeasurePreserving (τ i) μ μ) (hσ : ∀ i, MeasurePreserving (σ i) ν ν) (hpc : ∀ i, p ∘ σ i = τ i ∘ p) (hqc : ∀ i, q ∘ σ i = τ i ∘ q) : rangeClosure (operator hp hq) →L[ℝ] rangeClosure (operator hp hq) := restrictToRangeClosure (operator hp hq) (koopmanAverage τ hτ) (koopmanAverage σ hσ) (average_intertwines_apply hp hq τ σ hτ hσ hpc hqc) omit [IsProbabilityMeasure μ] in lemma averageOnDifferences_isSelfAdjoint (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) (τ : ι → A → A) (σ : ι → B → B) (hτ : ∀ i, MeasurePreserving (τ i) μ μ) (hσ : ∀ i, MeasurePreserving (σ i) ν ν) (hσinv : ∀ i, Function.Involutive (σ i)) (hpc : ∀ i, p ∘ σ i = τ i ∘ p) (hqc : ∀ i, q ∘ σ i = τ i ∘ q) : IsSelfAdjoint (averageOnDifferences hp hq τ σ hτ hσ hpc hqc) := isSelfAdjoint_restrictToRangeClosure _ _ _ (average_intertwines_apply hp hq τ σ hτ hσ hpc hqc) (koopmanAverage_selfAdjoint σ hσ hσinv) lemma norm_averageOnDifferences_le (hp : MeasurePreserving p ν μ) (hq : MeasurePreserving q ν μ) (τ : ι → A → A) (σ : ι → B → B) (hτ : ∀ i, MeasurePreserving (τ i) μ μ) (hσ : ∀ i, MeasurePreserving (σ i) ν ν) (hτinv : ∀ i, Function.Involutive (τ i)) (hσinv : ∀ i, Function.Involutive (σ i)) (hpc : ∀ i, p ∘ σ i = τ i ∘ p) (hqc : ∀ i, q ∘ σ i = τ i ∘ q) {ρ : ℝ} (hρ : 0 ≤ ρ) (hbound : ‖centeredKoopmanAverage τ hτ hτinv‖ ≤ ρ) : ‖averageOnDifferences hp hq τ σ hτ hσ hpc hqc‖ ≤ ρ := by exact norm_restrict_le_of_centered_source hp hq (koopmanAverage τ hτ) (koopmanAverage σ hσ) (koopmanAverage_preserves_centered τ hτ hτinv) (koopmanAverage_selfAdjoint σ hσ hσinv) (average_intertwines_apply hp hq τ σ hτ hσ hpc hqc) hρ hbound end Averaging end Problem367.CopyDifference end end OAI