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ProbabilityTheory.HasCondDistrib.condDistrib_eq🔗

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condDistrib_eq🔗

LemmaProbabilityTheory.HasCondDistrib.condDistrib_eq

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🔗theorem
ProbabilityTheory.HasCondDistrib.condDistrib_eq.{u_1, u_2, u_4} {α : Type u_1} {β : Type u_2} {Ω : Type u_4} { : MeasurableSpace α} { : MeasurableSpace β} { : MeasurableSpace Ω} {μ : MeasureTheory.Measure α} {X : α β} {Y : α Ω} {κ : Kernel β Ω} [StandardBorelSpace Ω] [Nonempty Ω] [MeasureTheory.IsFiniteMeasure μ] [IsFiniteKernel κ] (h : HasCondDistrib Y X κ μ) : 𝓛[Y | X; μ] =ᵐ[MeasureTheory.Measure.map X μ] κ
ProbabilityTheory.HasCondDistrib.condDistrib_eq.{u_1, u_2, u_4} {α : Type u_1} {β : Type u_2} {Ω : Type u_4} { : MeasurableSpace α} { : MeasurableSpace β} { : MeasurableSpace Ω} {μ : MeasureTheory.Measure α} {X : α β} {Y : α Ω} {κ : Kernel β Ω} [StandardBorelSpace Ω] [Nonempty Ω] [MeasureTheory.IsFiniteMeasure μ] [IsFiniteKernel κ] (h : HasCondDistrib Y X κ μ) : 𝓛[Y | X; μ] =ᵐ[MeasureTheory.Measure.map X μ] κ

Code

lemma HasCondDistrib.condDistrib_eq [IsFiniteMeasure μ] [IsFiniteKernel κ]
    (h : HasCondDistrib Y X κ μ) :
    condDistrib Y X μ =ᵐ[μ.map X] κ
Used by (13)

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Proof
by
  rw [condDistrib_ae_eq_iff_measure_eq_compProd _ (by fun_prop), h.map_eq]