Uniqueness of the conditional kernel #
We prove that the conditional kernels ProbabilityTheory.Kernel.condKernel
and
MeasureTheory.Measure.condKernel
are almost everywhere unique.
Main statements #
ProbabilityTheory.eq_condKernel_of_kernel_eq_compProd
: a.e. uniqueness ofProbabilityTheory.Kernel.condKernel
ProbabilityTheory.eq_condKernel_of_measure_eq_compProd
: a.e. uniqueness ofMeasureTheory.Measure.condKernel
ProbabilityTheory.Kernel.condKernel_apply_eq_condKernel
: the kernelcondKernel
is almost everywhere equal to the measurecondKernel
.
Uniqueness of Measure.condKernel
#
The conditional kernel of a measure is unique almost everywhere.
A s-finite kernel which satisfy the disintegration property of the given measure ρ
is almost
everywhere equal to the disintegration kernel of ρ
when evaluated on a measurable set.
This theorem in the case of finite kernels is weaker than eq_condKernel_of_measure_eq_compProd
which asserts that the kernels are equal almost everywhere and not just on a given measurable
set.
Auxiliary lemma for eq_condKernel_of_measure_eq_compProd
.
Uniqueness of the disintegration kernel on ℝ.
A finite kernel which satisfies the disintegration property is almost everywhere equal to the disintegration kernel.
For fst κ a
-almost all b
, the conditional kernel Kernel.condKernel κ
applied to (a, b)
is equal to the conditional kernel of the measure κ a
applied to b
.
Uniqueness of Kernel.condKernel
#
The conditional kernel is unique almost everywhere.
A finite kernel which satisfies the disintegration property is almost everywhere equal to the disintegration kernel.