Theorems · Theorem · probability
ProbabilityTheory.Kernel.prod_prodMkRight_comp_deterministic_prod
∀ {β : Type u_2} {γ : Type u_3} {δ : Type u_4} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
{mδ : MeasurableSpace δ} {β' : Type u_5} {ε : Type u_6} {mβ' : MeasurableSpace β'} {mε : MeasurableSpace ε}
(κ : ProbabilityTheory.Kernel γ β) [ProbabilityTheory.IsSFiniteKernel κ] (η : ProbabilityTheory.Kernel ε β')
[ProbabilityTheory.IsSFiniteKernel η] (ξ : ProbabilityTheory.Kernel (ε × β) δ) [ProbabilityTheory.IsSFiniteKernel ξ]
{f : γ → ε} (hf : Measurable f),
(ξ.prod (ProbabilityTheory.Kernel.prodMkRight β η)).comp ((ProbabilityTheory.Kernel.deterministic f hf).prod κ) =
(ξ.comp ((ProbabilityTheory.Kernel.deterministic f hf).prod κ)).prod
(η.comp (ProbabilityTheory.Kernel.deterministic f hf))The composition of two product kernels (ξ ×ₖ η') ∘ₖ (ζ ×ₖ κ) is the product of the
compositions, (ξ ∘ₖ (ζ ×ₖ κ)) ×ₖ (η' ∘ₖ (ζ ×ₖ κ)), if ζ is deterministic (of the form
.deterministic f hf) and η' does not depend on the output of κ.
That is, η' has the form η.prodMkRight β for a kernel η.
If κ was deterministic, this would be true even if η.prodMkRight β was a more general
kernel since Kernel.deterministic f hf ×ₖ κ would be deterministic and commute with copying.
Here κ is not deterministic, but it is discarded in one branch of the copy.
- Cited by
- 1 results in Mathlib
- Foundations
- Depth 227 from the axioms · uses propext, Classical.choice, Quot.sound
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- MeasureTheory.Measure.extproof · cited by 308
- ProbabilityTheory.IsSFiniteKernelstatement and proof · cited by 248
Cited by1
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- ProbabilityTheory.condIndepFun_iff_condDistrib_prod_ae_eq_prodMkRightproof · cited by 0