import OAI.Probability.FreeIsing.Gaussian.LinearSignalTilt import OAI.Probability.FreeIsing.Spins.PosteriorTilt namespace OAI noncomputable section open MeasureTheory namespace Problem367 theorem map_cond_spin_observation_eq_linearSignalTilt {Ω Y : Type*} {mΩ : MeasurableSpace Ω} {mY : MeasurableSpace Y} {mu : Measure Ω} [IsFiniteMeasure mu] {S : Ω → IsingSpin} (hS : Measurable S) {X : Ω → Y} (hX : Measurable X) {q : Y → ℝ} (hq : Measurable q) (hpost : mu[fun x => spinSign (S x) | mY.comap X] =ᵐ[mu] fun x => q (X x)) (a : IsingSpin) (hfair : mu {x | S x = a} = (1 / 2 : ENNReal)) : Measure.map X (ProbabilityTheory.cond mu {x | S x = a}) = linearSignalTilt (Measure.map X mu) q (spinSign a) := by have hQ : Measurable (fun x => q (X x)) := hq.comp hX have hSb : ∀ᵐ x ∂mu, ‖spinSign (S x)‖ ≤ (1 : ℝ) := by apply Filter.Eventually.of_forall intro x cases hs : S x <;> norm_num [spinSign, hs] have hQb : ∀ᵐ x ∂mu, |q (X x)| ≤ 1 := by have hb := ae_bdd_norm_condExp_of_ae_bdd_norm (m := mY.comap X) hSb filter_upwards [hb, hpost] with x hx hp simpa only [hp, Real.norm_eq_abs] using hx have hQi : Integrable (fun x => q (X x)) mu := Integrable.of_bound hQ.aestronglyMeasurable 1 (by simpa only [Real.norm_eq_abs] using hQb) have ha : |spinSign a| ≤ 1 := by cases a <;> norm_num [spinSign] let : IsProbabilityMeasure (ProbabilityTheory.cond mu {x | S x = a}) := ProbabilityTheory.cond_isProbabilityMeasure (by rw [hfair]; norm_num) have hdi := (integrable_const (1 : ℝ)).add (hQi.const_mul (spinSign a)) let : IsFiniteMeasure (linearSignalTilt mu (fun x => q (X x)) (spinSign a)) := isFiniteMeasure_withDensity_ofReal hdi.hasFiniteIntegral have hmap : Measure.map X (linearSignalTilt mu (fun x => q (X x)) (spinSign a)) = linearSignalTilt (Measure.map X mu) q (spinSign a) := by unfold linearSignalTilt exact map_withDensity_comp (mu := mu) (f := X) (w := fun y => ENNReal.ofReal (1 + spinSign a * q y)) hX (ENNReal.measurable_ofReal.comp (measurable_const.add (measurable_const.mul hq))) rw [← hmap] ext t ht apply (ENNReal.toReal_eq_toReal_iff' (measure_ne_top _ _) (measure_ne_top _ _)).mp let f : Y → ℝ := t.indicator (fun _ => 1) have hfm : Measurable f := measurable_const.indicator ht have hfint : Integrable (fun x => f (X x)) mu := by refine Integrable.of_bound (hfm.comp hX).aestronglyMeasurable 1 ?_ exact Filter.Eventually.of_forall (fun x => by by_cases hx : X x ∈ t <;> simp [f, hx]) have hfsmall : StronglyMeasurable[mY.comap X] (fun x => f (X x)) := (hfm.comp (measurable_iff_comap_le.mpr le_rfl)).stronglyMeasurable have hint : (∫ y, f y ∂Measure.map X (ProbabilityTheory.cond mu {x | S x = a})) = ∫ y, f y ∂Measure.map X (linearSignalTilt mu (fun x => q (X x)) (spinSign a)) := by rw [integral_map hX.aemeasurable hfm.aestronglyMeasurable, integral_map hX.aemeasurable hfm.aestronglyMeasurable, integral_cond_spin_posterior_tilt hX.comap_le hS hfsmall hfint a hfair, integral_linearSignalTilt hQ hQb ha hfint, ← integral_const_mul, ← integral_add hfint ((integrable_boundedSignal_mul hQ hQb hfint).const_mul (spinSign a))] apply integral_congr_ae filter_upwards [hpost] with x hx rw [hx] ring simpa [f, integral_indicator ht, measureReal_def] using hint end Problem367 end end OAI