import Mathlib.MeasureTheory.Integral.Bochner.Set import Mathlib.MeasureTheory.Integral.Pi import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.Algebra.Order.Chebyshev import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Linarith import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring namespace OAI namespace FiniteFactor open MeasureTheory open scoped ENNReal noncomputable section /-- Normalized restriction density, relative to the probability base measure. -/ def intervalDensity {X : Type*} (U : Set X) (length : ℝ) : X → ℝ := U.indicator (fun _ => length⁻¹) variable {X : Type*} [MeasurableSpace X] {μ : Measure X} [IsProbabilityMeasure μ] theorem intervalDensity_integrable {U : Set X} (hU : MeasurableSet U) (l : ℝ) : Integrable (intervalDensity U l) μ := (integrable_const _).indicator hU omit [MeasurableSpace X] in theorem intervalDensity_nonneg [MeasurableSpace X] {U : Set X} {l : ℝ} (hl : 0 ≤ l) (x : X) : 0 ≤ intervalDensity U l x := by classical by_cases hx : x ∈ U <;> simp [intervalDensity, hx, inv_nonneg.mpr hl] omit [MeasurableSpace X] in theorem intervalDensity_le [MeasurableSpace X] {U : Set X} {l : ℝ} (hl : 0 ≤ l) (x : X) : intervalDensity U l x ≤ l⁻¹ := by classical by_cases hx : x ∈ U <;> simp [intervalDensity, hx, inv_nonneg.mpr hl] omit [IsProbabilityMeasure μ] in theorem intervalDensity_integral [IsProbabilityMeasure μ] {U : Set X} (hU : MeasurableSet U) {l : ℝ} (hl : 0 < l) (hm : μ.real U = l) : ∫ x, intervalDensity U l x ∂μ = 1 := by rw [intervalDensity, integral_indicator hU, setIntegral_const, smul_eq_mul, hm] exact mul_inv_cancel₀ hl.ne' theorem intervalDensity_sq_integrable {U : Set X} (hU : MeasurableSet U) (l : ℝ) : Integrable (fun x => intervalDensity U l x ^ 2) μ := by have heq : (fun x => intervalDensity U l x ^ 2) = U.indicator (fun _ => (l⁻¹)^2) := by funext x by_cases hx : x ∈ U <;> simp [intervalDensity, hx] rw [heq] exact (integrable_const _).indicator hU omit [IsProbabilityMeasure μ] in theorem intervalDensity_sq_integral [IsProbabilityMeasure μ] {U : Set X} (hU : MeasurableSet U) {l : ℝ} (hl : 0 < l) (hm : μ.real U = l) : ∫ x, intervalDensity U l x ^ 2 ∂μ = l⁻¹ := by have heq : (fun x => intervalDensity U l x ^ 2) = U.indicator (fun _ => (l⁻¹)^2) := by funext x by_cases hx : x ∈ U <;> simp [intervalDensity, hx] rw [heq, integral_indicator hU, setIntegral_const, smul_eq_mul, hm] field_simp /-- The mass-one identity cancels the linear term exactly. -/ theorem density_energy_identity {h : X → ℝ} (hh : Integrable h μ) (hh2 : Integrable (fun x => h x ^ 2) μ) (hm : ∫ x, h x ∂μ = 1) : (∫ x, (h x - 1)^2 ∂μ) = (∫ x, h x ^ 2 ∂μ) - 1 := by have heq : (fun x => (h x - 1)^2) = fun x => h x ^ 2 - 2*h x + 1 := by funext x; ring have h₁ := integral_add (hh2.sub (hh.const_mul 2)) (integrable_const (1 : ℝ)) have h₂ := integral_sub hh2 (hh.const_mul 2) dsimp only [Pi.sub_apply, Pi.add_apply] at h₁ h₂ rw [heq, h₁, h₂, integral_const_mul, hm] simp ring /-- Each normalized interval perturbation has energy exactly 1/length - 1. -/ theorem intervalDensity_energy {U : Set X} (hU : MeasurableSet U) {l : ℝ} (hl : 0 < l) (hm : μ.real U = l) : (∫ x, (intervalDensity U l x - 1)^2 ∂μ) = l⁻¹ - 1 := by rw [density_energy_identity (intervalDensity_integrable hU l) (intervalDensity_sq_integrable hU l) (intervalDensity_integral hU hl hm), intervalDensity_sq_integral hU hl hm] /-- Finite independent endpoint selections: the square integral factors exactly. -/ theorem product_density_sq_integral {ι : Type*} [Fintype ι] {E : ι → Type*} [∀ i, MeasurableSpace (E i)] (ν : ∀ i, Measure (E i)) [∀ i, SigmaFinite (ν i)] (h : ∀ i, E i → ℝ) : (∫ x, (∏ i, h i (x i))^2 ∂Measure.pi ν) = ∏ i, ∫ x, h i x ^ 2 ∂ν i := by simp_rw [← Finset.prod_pow] exact integral_fintype_prod_eq_prod (fun i x => h i x ^ 2) /-- Finite product estimate used in uniform-product-density; the bound has no dependence on the choice of endpoint orientation. -/ theorem product_energy_le_exp {ι : Type*} [Fintype ι] (A e : ι → ℝ) (hA0 : ∀ i, 0 ≤ A i) (hA : ∀ i, A i ≤ 1 + e i) : (∏ i, A i) ≤ Real.exp (∑ i, e i) := by calc (∏ i, A i) ≤ ∏ i, Real.exp (e i) := by apply Finset.prod_le_prod₀ (fun i _ => hA0 i) intro i _ exact (hA i).trans (by linarith [Real.add_one_le_exp (e i)]) _ = _ := (Real.exp_sum _ _).symm end end FiniteFactor end OAI