import OAI.Probability.InvariantIsing.Spectral.PositiveSpectralLabels import OAI.Probability.InvariantIsing.Spectral.FiniteSpectralMeasure namespace OAI /-! The positive part of a finite random label has the same distribution. -/ noncomputable section open MeasureTheory Filter Set open scoped BigOperators Classical namespace InvariantIsing variable {Ω A : Type*} [MeasurableSpace Ω] [Fintype A] [MeasurableSpace A] [MeasurableSingletonClass A] def finiteIndexWeight (P : Measure Ω) (g : Ω → A) (a : A) : ℝ := P.real (g ⁻¹' {a}) lemma finiteIndexWeight_sum (P : Measure Ω) [IsProbabilityMeasure P] (g : Ω → A) (hg : Measurable g) : ∑ a, finiteIndexWeight P g a=1 := by have hh := sum_measureReal_preimage_singleton (μ := P) Finset.univ (f := g) (fun a _ => hg (measurableSet_singleton a)) simpa only [finiteIndexWeight,Finset.coe_univ,preimage_univ,probReal_univ] using hh omit [MeasurableSpace A] [MeasurableSingletonClass A] in lemma ae_finiteIndexWeight_pos (P : Measure Ω) [IsProbabilityMeasure P] (g : Ω → A) : ∀ᵐ x ∂P, 0 < finiteIndexWeight P g (g x) := by have hi a : ∀ᵐ x ∂P, g x=a → 0 < finiteIndexWeight P g a := by by_cases hp : 0 < finiteIndexWeight P g a · exact Eventually.of_forall (fun _ _ => hp) · have hz : P (g ⁻¹' {a})=0 := (measureReal_eq_zero_iff).mp (le_antisymm (le_of_not_gt hp) measureReal_nonneg) filter_upwards [compl_mem_ae_iff.mpr hz] with x hx exact fun h => (hx h).elim filter_upwards [ae_all_iff.mpr hi] with x hx exact hx _ rfl omit [MeasurableSpace A] [MeasurableSingletonClass A] in lemma positiveIndexWeight (P : Measure Ω) [IsProbabilityMeasure P] (g : Ω → A) (fallback : {a // 0 < finiteIndexWeight P g a}) (a : {a // 0 < finiteIndexWeight P g a}) : finiteIndexWeight P (positiveSpectralLabel (finiteIndexWeight P g) fallback ∘ g) a= finiteIndexWeight P g a := by apply measureReal_congr filter_upwards [ae_finiteIndexWeight_pos P g] with x hx simp only [Function.comp_apply,positiveSpectralLabel,dite_eq_left hx, mem_preimage,mem_singleton_iff] exact propext Subtype.ext_iff lemma finiteIndex_map (P : Measure Ω) [IsProbabilityMeasure P] (g : Ω → A) (hg : Measurable g) (c : A → ℝ) : P.map (c ∘ g)=finiteSpectralMeasure (finiteIndexWeight P g) c := by have hc : Measurable c := measurable_of_finite c rw [← Measure.map_map hc hg,Measure.map_eq_sum P g hg,Measure.map_sum hc.aemeasurable] unfold finiteSpectralMeasure congr 1 funext a rw [Measure.map_smul _ hc.aemeasurable,Measure.map_dirac,finiteIndexWeight, measureReal_def,ENNReal.ofReal_toReal (measure_ne_top P _)] end InvariantIsing end end OAI