Theorems · Theorem · probability
ProbabilityTheory.Kernel.compProd_fst_borelMarkovFromReal
∀ {α : Type u_1} {β : Type u_2} {Ω : Type u_4} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
{mΩ : MeasurableSpace Ω} [inst : StandardBorelSpace Ω] [inst_1 : Nonempty Ω] (κ : ProbabilityTheory.Kernel α (β × Ω))
[ProbabilityTheory.IsSFiniteKernel κ] (η : ProbabilityTheory.Kernel (α × β) ℝ) [ProbabilityTheory.IsSFiniteKernel η],
(κ.map (Prod.map id (MeasureTheory.embeddingReal Ω))).fst.compProd η =
κ.map (Prod.map id (MeasureTheory.embeddingReal Ω)) →
κ.fst.compProd (ProbabilityTheory.Kernel.borelMarkovFromReal Ω η) = κFor κ' := map κ (Prod.map (id : β → β) e), the hypothesis hη is fst κ' ⊗ₖ η = κ'.
With that hypothesis, fst κ ⊗ₖ borelMarkovFromReal κ η = κ.
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- Foundations
- Depth 229 from the axioms · uses propext, Classical.choice, Quot.sound
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