import OAI.Analysis.FiniteFactor.Sampling.SecondDensity namespace OAI namespace FiniteFactor open MeasureTheory ProbabilityTheory Filter open scoped ENNReal noncomputable section /-- Exact x- and y-tests in the second diagonal orientation. -/ def samplingTestedSecondWeight (h α : ℝ) (E G : Set ℝ) (s t : ℝ) : ℝ := by classical exact if Int.fract (s-t) ∈ E ∧ s ∈ G then samplingSecondWeight h α s t else 0 def samplingTestedSecondDensity (h α : ℝ) (E G : Set ℝ) (s : ℝ) : ℝ := ∫ t, samplingTestedSecondWeight h α E G s t ∂unitIntervalMeasure theorem samplingTestedSecondWeight_measurable (h α : ℝ) (E G : Set ℝ) (hE : MeasurableSet E) (hG : MeasurableSet G) : Measurable (fun p : ℝ × ℝ => samplingTestedSecondWeight h α E G p.1 p.2) := by unfold samplingTestedSecondWeight exact Measurable.ite ((hE.preimage (sourceFract_measurable.comp (measurable_fst.sub measurable_snd))).inter (hG.preimage measurable_fst)) (samplingSecondWeight_measurable h α) measurable_const theorem samplingTestedSecondWeight_bounds (h α : ℝ) (E G : Set ℝ) (s t : ℝ) (hh : 0 < h) (hα : 0 < α) : 0 ≤ samplingTestedSecondWeight h α E G s t ∧ samplingTestedSecondWeight h α E G s t ≤ samplingSecondWeight h α s t := by have hn : 0 ≤ samplingSecondWeight h α s t := (samplingWeight_bounds false h α _ t hh hα).1 unfold samplingTestedSecondWeight split_ifs <;> simp [hn] theorem samplingTestedSecondDensity_measurable (h α : ℝ) (E G : Set ℝ) (hE : MeasurableSet E) (hG : MeasurableSet G) : Measurable (samplingTestedSecondDensity h α E G) := (samplingTestedSecondWeight_measurable h α E G hE hG).stronglyMeasurable.integral_prod_right.measurable theorem samplingTestedSecondDensity_bounds (h α : ℝ) (E G : Set ℝ) (hh : 0 < h) (hα : 0 < α) (hE : MeasurableSet E) (hG : MeasurableSet G) (s : ℝ) : 0 ≤ samplingTestedSecondDensity h α E G s ∧ samplingTestedSecondDensity h α E G s ≤ samplingSecondDensity h α s := by have hm : Measurable (samplingTestedSecondWeight h α E G s) := (samplingTestedSecondWeight_measurable h α E G hE hG).comp (measurable_const.prodMk measurable_id) have hi := (samplingSecondWeight_integrable h α s hh hα).mono' hm.aestronglyMeasurable (Eventually.of_forall (fun t => by rw [Real.norm_eq_abs,abs_of_nonneg (samplingTestedSecondWeight_bounds h α E G s t hh hα).1] exact (samplingTestedSecondWeight_bounds h α E G s t hh hα).2)) exact ⟨integral_nonneg (fun t => (samplingTestedSecondWeight_bounds h α E G s t hh hα).1), integral_mono_ae hi (samplingSecondWeight_integrable h α s hh hα) (Eventually.of_forall (fun t => (samplingTestedSecondWeight_bounds h α E G s t hh hα).2))⟩ theorem samplingTestedSecondDensity_square (h α : ℝ) (E G : Set ℝ) (hh : 0 < h) (hh1 : h < 1) (hα : 0 < α) (hE : MeasurableSet E) (hG : MeasurableSet G) : (∀ᵐ s ∂unitIntervalMeasure, 0 ≤ samplingTestedSecondDensity h α E G s ∧ samplingTestedSecondDensity h α E G s ≤ 1/(1-h)) ∧ (∫ s, samplingTestedSecondDensity h α E G s^2 ∂unitIntervalMeasure) ≤ 1+h^2/(1-h)^2 := by let f := samplingTestedSecondDensity h α E G let q := samplingIdealSecond h let C := 1/(1-h) have hC : 0 ≤ C := by dsimp [C]; positivity have hf := samplingTestedSecondDensity_measurable h α E G hE hG have hq := samplingIdealSecond_measurable h hh have hnon (s : ℝ) : 0 ≤ f s := (samplingTestedSecondDensity_bounds h α E G hh hα hE hG s).1 have hle : ∀ᵐ s ∂unitIntervalMeasure, f s ≤ q s := (samplingSecondDensity_le_ideal h α hh hh1 hα).mono (fun s hs => (samplingTestedSecondDensity_bounds h α E G hh hα hE hG s).2.trans hs) have hqb (s : ℝ) : 0 ≤ q s ∧ q s ≤ C := (samplingIdealSecond_bounds h s hh hh1).imp_right And.left have hq2 (s : ℝ) : q s^2 ≤ C^2 := by nlinarith [(hqb s).1,(hqb s).2] have hf2 : ∀ᵐ s ∂unitIntervalMeasure, f s^2 ≤ q s^2 := hle.mono (fun s hs => by nlinarith [hnon s,(hqb s).1]) have hfi : Integrable (fun s => f s^2) unitIntervalMeasure := (integrable_const (C^2)).mono' (hf.pow_const 2).aestronglyMeasurable (hf2.mono (fun s hs => by rw [Real.norm_eq_abs,abs_of_nonneg (sq_nonneg _)] exact hs.trans (hq2 s))) have hqi : Integrable (fun s => q s^2) unitIntervalMeasure := (integrable_const (C^2)).mono' (hq.pow_const 2).aestronglyMeasurable (Eventually.of_forall (fun s => by rw [Real.norm_eq_abs,abs_of_nonneg (sq_nonneg _)] exact hq2 s)) exact ⟨hle.mono (fun s hs => ⟨hnon s,hs.trans (hqb s).2⟩), (integral_mono_ae hfi hqi hf2).trans (samplingIdealSecond_square h hh hh1).2⟩ end end FiniteFactor end OAI