import Mathlib namespace OAI noncomputable section open MeasureTheory ProbabilityTheory open scoped NNReal namespace Problem367.ConditionalCharacteristic variable {Ω : Type*} {m : MeasurableSpace Ω} [mΩ : MeasurableSpace Ω] def character (X : Ω → ℝ) (t : ℝ) (ω : Ω) : ℂ := Complex.exp (t * X ω * Complex.I) theorem measurable_character {X : Ω → ℝ} (hX : Measurable[mΩ] X) (t : ℝ) : Measurable (character X t) := by unfold character fun_prop theorem integrable_character {P : Measure Ω} [IsFiniteMeasure P] {X : Ω → ℝ} (hX : Measurable[mΩ] X) (t : ℝ) : Integrable (character X t) P := by apply Integrable.mono' (integrable_const (1 : ℝ)) (measurable_character hX t).aestronglyMeasurable apply Filter.Eventually.of_forall intro ω simp [character, ← Complex.ofReal_mul] theorem map_restrict_eq_smul_of_condExp_character {P : Measure Ω} [IsProbabilityMeasure P] (hm : m ≤ mΩ) {X : Ω → ℝ} (hX : Measurable[mΩ] X) (ν : Measure ℝ) [IsProbabilityMeasure ν] (hchar : ∀ t : ℝ, P[character X t | m] =ᵐ[P] fun _ => charFun ν t) {s : Set Ω} (hs : MeasurableSet[m] s) : Measure.map X (P.restrict s) = P s • ν := by let : IsFiniteMeasure (P s • ν) := ν.smul_finite (measure_ne_top P s) apply Measure.ext_of_charFun funext t rw [charFun_apply_real, integral_map hX.aemeasurable (by fun_prop), charFun_apply_real, integral_smul_measure] change (∫ ω in s, character X t ω ∂P) = _ rw [← setIntegral_condExp hm (integrable_character hX t) hs] calc (∫ ω in s, P[character X t | m] ω ∂P) = ∫ _ in s, charFun ν t ∂P := integral_congr_ae (ae_restrict_of_ae (hchar t)) _ = _ := by simp [charFun_apply_real, measureReal_def] theorem map_eq_of_condExp_character {P : Measure Ω} [IsProbabilityMeasure P] (hm : m ≤ mΩ) {X : Ω → ℝ} (hX : Measurable[mΩ] X) (ν : Measure ℝ) [IsProbabilityMeasure ν] (hchar : ∀ t : ℝ, P[character X t | m] =ᵐ[P] fun _ => charFun ν t) : Measure.map X P = ν := by simpa using map_restrict_eq_smul_of_condExp_character hm hX ν hchar (MeasurableSet.univ : MeasurableSet[m] Set.univ) theorem indepFun_of_condExp_character {P : Measure Ω} [IsProbabilityMeasure P] (hm : m ≤ mΩ) {X : Ω → ℝ} (hX : Measurable[mΩ] X) (ν : Measure ℝ) [IsProbabilityMeasure ν] (hchar : ∀ t : ℝ, P[character X t | m] =ᵐ[P] fun _ => charFun ν t) {E : Type*} [MeasurableSpace E] {Y : Ω → E} (hY : Measurable[m] Y) : IndepFun X Y P := by rw [indepFun_iff_measure_inter_preimage_eq_mul] intro a b ha hb have hrestrict := congrArg (fun μ : Measure ℝ => μ a) (map_restrict_eq_smul_of_condExp_character hm hX ν hchar (hY hb)) have hlaw := map_eq_of_condExp_character hm hX ν hchar rw [Measure.map_apply hX ha, Measure.restrict_apply (hX ha), Measure.smul_apply, smul_eq_mul, ← hlaw, Measure.map_apply hX ha] at hrestrict exact hrestrict.trans (mul_comm _ _) theorem hasLaw_of_condExp_character {P : Measure Ω} [IsProbabilityMeasure P] (hm : m ≤ mΩ) {X : Ω → ℝ} (hX : Measurable[mΩ] X) (ν : Measure ℝ) [IsProbabilityMeasure ν] (hchar : ∀ t : ℝ, P[character X t | m] =ᵐ[P] fun _ => charFun ν t) : HasLaw X ν P := ⟨hX.aemeasurable, map_eq_of_condExp_character hm hX ν hchar⟩ theorem gaussian_law_and_indep_of_condExp_character {P : Measure Ω} [IsProbabilityMeasure P] (hm : m ≤ mΩ) {X : Ω → ℝ} (hX : Measurable[mΩ] X) (v : ℝ≥0) (hchar : ∀ t : ℝ, P[character X t | m] =ᵐ[P] fun _ => Complex.exp (-((v : ℝ) : ℂ) * (t : ℂ) ^ 2 / 2)) {E : Type*} [MeasurableSpace E] {Y : Ω → E} (hY : Measurable[m] Y) : HasLaw X (gaussianReal 0 v) P ∧ IndepFun X Y P := by have hc : ∀ t : ℝ, P[character X t | m] =ᵐ[P] fun _ => charFun (gaussianReal 0 v) t := by intro t simpa only [charFun_gaussianReal, Complex.ofReal_zero, mul_zero, zero_mul, zero_sub, neg_mul, neg_div] using hchar t exact ⟨hasLaw_of_condExp_character hm hX _ hc, indepFun_of_condExp_character hm hX _ hc hY⟩ end Problem367.ConditionalCharacteristic end end OAI