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Add lean source and binary files (part 18)
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import OAI.Analysis.FiniteFactor.OrbitSampling.UniformEvent
import OAI.Analysis.FiniteFactor.OrbitSampling.Measures
namespace OAI
namespace FiniteFactor
open MeasureTheory Filter Finset
open scoped Classical ENNReal
noncomputable section
/-- The actual first marginal is the verified empirical interval-test density.
The whole-circle tests [0,1] are valid on the Haar cube. -/
theorem sourceSamplingUntrimmed_first_density (I : Finset SourceCoordinate) (stage : ℕ)
(θ : SourceCoordinate → ℝ) :
(sourceSamplingUntrimmed I stage θ).map Prod.fst =
sourceSamplingHaar.withDensity (fun x => ENNReal.ofReal
(sourceSamplingEmpiricalDensity stage false (fun i => decide (i ∈ I))
(fun _ => Set.Icc 0 1) (fun _ => Set.Icc 0 1) θ x)) := by
let S := sourceSamplingPowers stage
let c : ℝ≥0∞ := ENNReal.ofReal (1/((sourceSamplingPowers stage).card : ℝ))
let w (n : ℤ) := sourceSamplingWeight I stage θ n
have hrep : (fun x => ENNReal.ofReal (sourceSamplingEmpiricalDensity stage false (fun i => decide (i ∈ I))
(fun _ => Set.Icc 0 1) (fun _ => Set.Icc 0 1) θ x)) =ᵐ[sourceSamplingHaar]
(fun x => c*(∑ n ∈ S, ENNReal.ofReal (w n x))) := by
filter_upwards [sourceSamplingHaar_cube] with x hx
have hw (n : ℤ) : sourceSamplingProduct stage false (fun i => decide (i ∈ I))
(fun _ => Set.Icc 0 1) (fun _ => Set.Icc 0 1) n θ x = w n x := by
apply Finset.prod_congr rfl
intro i _
have hx' : x i ∈ Set.Icc (0 : ℝ) 1 := ⟨(hx i).1,(hx i).2.le⟩
have hy : Int.fract (x i+Int.fract ((n : ℝ)*θ i)) ∈ Set.Icc (0 : ℝ) 1 :=
⟨Int.fract_nonneg _,(Int.fract_lt_one _).le⟩
simp only [samplingOrientedWeight, Bool.false_eq_true, ite_false, samplingTestedFirstWeight,
hx', hy, and_self, ite_true]
simp only [sourceSamplingEmpiricalDensity,hw]
rw [div_eq_mul_inv,mul_comm,← one_div,
ENNReal.ofReal_mul (by positivity),ENNReal.ofReal_sum_of_nonneg (fun n _ => (sourceSamplingWeight_bounds I stage θ n x).1)]
rw [withDensity_congr_ae hrep]
ext A hA
rw [Measure.map_apply measurable_fst hA]
unfold sourceSamplingUntrimmed
rw [Measure.smul_apply,Measure.finsetSum_apply,withDensity_apply _ hA]
have hterm (n : ℤ) : sourceSamplingSummand I stage θ n (Prod.fst ⁻¹' A) =
∫⁻ x in A, ENNReal.ofReal (w n x) ∂sourceSamplingHaar := by
rw [← Measure.map_apply measurable_fst hA,sourceSamplingSummand_first_marginal]
exact withDensity_apply _ hA
simp only [hterm,smul_eq_mul]
rw [lintegral_const_mul' c _ ENNReal.ofReal_ne_top]
congr 1
exact (lintegral_finsetSum S (fun n _ =>
(sourceSamplingWeight_measurable I stage θ n).ennreal_ofReal)).symm
/-- Uniform L2 densities for the actual untrimmed first marginals. -/
theorem sourceSamplingUntrimmed_first_L2 (I : Finset SourceCoordinate) :
∀ᵐ θ ∂sourceAngleLaw, ∃ C : ℝ, ∀ stage,
∃ f : (SourceCoordinate → ℝ) → ℝ,
(sourceSamplingUntrimmed I stage θ).map Prod.fst = sourceSamplingHaar.withDensity (fun x => ENNReal.ofReal (f x)) ∧
MemLp f 2 sourceSamplingHaar ∧ (∫ x, f x^2 ∂sourceSamplingHaar) ≤ C := by
filter_upwards [sourceSamplingEmpiricalDensity_uniform false (fun i => decide (i ∈ I))
(fun _ => 0) (fun _ => 1) (fun _ => 0) (fun _ => 1)] with θ hθ
obtain ⟨C,hC⟩ := hθ
refine ⟨C,fun stage => ⟨_,sourceSamplingUntrimmed_first_density I stage θ,(hC stage).1,(hC stage).2⟩⟩
end
end FiniteFactor
end OAI