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| import OAI.Analysis.FiniteFactor.CrossedProduct.Rotation | |
| import Mathlib.Probability.ConditionalProbability | |
| namespace OAI | |
| namespace FiniteFactor | |
| open MeasureTheory ProbabilityTheory | |
| open scoped ENNReal | |
| noncomputable section | |
| theorem sourceFract_measurable : Measurable (Int.fract : ℝ → ℝ) := by | |
| have hh := sourceCircleRepresentative_measurable.comp sourceCircle_mk_preserving.measurable | |
| simpa only [Function.comp_def, sourceCircleRepresentative_coe] using hh | |
| /-- Every translated interval of length one maps to the same representative | |
| Haar measure under fractional part. -/ | |
| theorem fract_unit_interval (a : ℝ) : | |
| (volume.restrict (Set.Ioc a (a+1))).map Int.fract = unitIntervalMeasure := by | |
| have hh := sourceCircleRepresentative_preserving.comp (AddCircle.measurePreserving_mk 1 a) | |
| have he : sourceCircleRepresentative ∘ ((↑) : ℝ → AddCircle (1 : ℝ)) = Int.fract := by | |
| funext x | |
| exact sourceCircleRepresentative_coe x | |
| simpa only [he] using hh.map_eq | |
| theorem fract_integer_interval (a : ℝ) (n : ℕ) : | |
| (volume.restrict (Set.Ioc a (a+n))).map Int.fract = (n : ℝ≥0∞) • unitIntervalMeasure := by | |
| induction n with | |
| | zero => simp | |
| | succ n ih => | |
| have hu : Set.Ioc a (a+((n+1 : ℕ) : ℝ)) = | |
| Set.Ioc a (a+n) ∪ Set.Ioc (a+n) (a+n+1) := by | |
| rw [Set.Ioc_union_Ioc_eq_Ioc (by have := Nat.cast_nonneg (α := ℝ) n; linarith) (by linarith)] | |
| congr 1 | |
| push_cast | |
| ring | |
| rw [hu, Measure.restrict_union (Set.Ioc_disjoint_Ioc_of_le le_rfl) measurableSet_Ioc, | |
| Measure.map_add, ih, fract_unit_interval] | |
| · simp [add_smul] | |
| · exact sourceFract_measurable | |
| /-- Periodizing normalized interval measure has density at most 1+1/length. | |
| The bound is expressed as domination of measures on every measurable set. -/ | |
| theorem fract_interval_domination (a b : ℝ) (hab : a < b) : | |
| (cond volume (Set.Ioc a b)).map Int.fract ≤ | |
| ENNReal.ofReal (1+1/(b-a)) • unitIntervalMeasure := by | |
| let n : ℕ := Nat.ceil (b-a) | |
| have hsub : Set.Ioc a b ⊆ Set.Ioc a (a+n) := by | |
| apply Set.Ioc_subset_Ioc le_rfl | |
| have hh : b-a ≤ (n : ℝ) := Nat.le_ceil _ | |
| linarith | |
| have hle : (volume.restrict (Set.Ioc a b)).map Int.fract ≤ | |
| (n : ℝ≥0∞) • unitIntervalMeasure := by | |
| rw [← fract_integer_interval a n] | |
| exact Measure.map_mono (Measure.restrict_mono hsub le_rfl) sourceFract_measurable | |
| have hscalar : (ENNReal.ofReal (b-a))⁻¹ * (n : ℝ≥0∞) ≤ | |
| ENNReal.ofReal (1+1/(b-a)) := by | |
| have hpos : 0 < b-a := sub_pos.mpr hab | |
| have hn : (n : ℝ) < b-a+1 := Nat.ceil_lt_add_one hpos.le | |
| have hreal : (b-a)⁻¹ * (n : ℝ) ≤ 1+1/(b-a) := by | |
| apply (mul_le_mul_of_nonneg_left hn.le (inv_nonneg.mpr hpos.le)).trans_eq | |
| field_simp | |
| rw [← ENNReal.ofReal_inv_of_pos hpos, ← ENNReal.ofReal_natCast, | |
| ← ENNReal.ofReal_mul (inv_nonneg.mpr hpos.le)] | |
| exact ENNReal.ofReal_le_ofReal hreal | |
| unfold ProbabilityTheory.cond | |
| rw [Measure.map_smul _ sourceFract_measurable.aemeasurable, Real.volume_Ioc] | |
| calc | |
| _ ≤ (ENNReal.ofReal (b-a))⁻¹ • ((n : ℝ≥0∞) • unitIntervalMeasure) := by gcongr | |
| _ = ((ENNReal.ofReal (b-a))⁻¹ * (n : ℝ≥0∞)) • unitIntervalMeasure := smul_smul _ _ _ | |
| _ ≤ _ := by gcongr | |
| /-- Positive scaling carries normalized interval measure to the normalized | |
| scaled interval; this identifies the actual phase law before periodization. -/ | |
| theorem cond_interval_mul_pos (a b c : ℝ) (hab : a < b) (hc : 0 < c) : | |
| (cond volume (Set.Ioc a b)).map (fun t => c*t) = | |
| cond volume (Set.Ioc (c*a) (c*b)) := by | |
| have hp : (fun t : ℝ => c*t) ⁻¹' Set.Ioc (c*a) (c*b) = Set.Ioc a b := by | |
| ext t | |
| simp only [Set.mem_preimage, Set.mem_Ioc, mul_lt_mul_iff_right₀ hc, mul_le_mul_iff_right₀ hc] | |
| have hlen : 0 < b-a := sub_pos.mpr hab | |
| have hclen : 0 < c*b-c*a := by nlinarith | |
| unfold ProbabilityTheory.cond | |
| rw [Measure.map_smul _ (by fun_prop), Real.volume_Ioc, Real.volume_Ioc, ← hp, | |
| ← Measure.restrict_map (f := fun t : ℝ => c*t) (by fun_prop) measurableSet_Ioc, | |
| Real.map_volume_mul_left hc.ne', Measure.restrict_smul, smul_smul] | |
| congr 1 | |
| rw [abs_of_pos (inv_pos.mpr hc), ← ENNReal.ofReal_inv_of_pos hlen, | |
| ← ENNReal.ofReal_mul (inv_nonneg.mpr hlen.le), ← ENNReal.ofReal_inv_of_pos hclen] | |
| congr 1 | |
| field_simp | |
| theorem cond_closed_interval_eq (a b : ℝ) : | |
| cond volume (Set.Icc a b) = cond volume (Set.Ioc a b) := by | |
| unfold ProbabilityTheory.cond | |
| rw [Real.volume_Icc, Real.volume_Ioc, ← restrict_Ioc_eq_restrict_Icc] | |
| end | |
| end FiniteFactor | |
| end OAI | |