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Mathlib.Probability.Kernel.Composition.RadonNikodym

Radon-Nikodym derivative of a composition product #

We compute the Radon-Nikodym derivative of a composition product μ ⊗ₘ κ with respect to another composition product ν ⊗ₘ η in terms of the Radon-Nikodym derivatives ∂μ/∂ν and ∂(μ ⊗ₘ κ)/∂(μ ⊗ₘ η).

Main statements #

TODO #

Under suitable assumptions to have Radon-Nikodym derivatives defined for kernels, we should give equivalent statements with ∂(μ ⊗ₘ κ)/∂(μ ⊗ₘ η) replaced by ∂κ/∂η.

theorem ProbabilityTheory.rnDeriv_measure_compProd_left {α : Type u_1} {β : Type u_2} { : MeasurableSpace α} { : MeasurableSpace β} (μ ν : MeasureTheory.Measure α) (κ : Kernel α β) [MeasureTheory.IsFiniteMeasure μ] [MeasureTheory.IsFiniteMeasure ν] [IsFiniteKernel κ] :
(μ.compProd κ).rnDeriv (ν.compProd κ) =ᵐ[ν.compProd κ] fun (p : α × β) => μ.rnDeriv ν p.1

The Radon-Nikodym derivative ∂(μ ⊗ₘ κ)/∂(ν ⊗ₘ κ) (with the same kernel) equals ∂μ/∂ν.

theorem ProbabilityTheory.rnDeriv_compProd {α : Type u_1} {β : Type u_2} { : MeasurableSpace α} { : MeasurableSpace β} {μ : MeasureTheory.Measure α} {κ η : Kernel α β} [MeasureTheory.IsFiniteMeasure μ] [IsFiniteKernel κ] [IsFiniteKernel η] (h_ac : (μ.compProd κ).AbsolutelyContinuous (μ.compProd η)) (ν : MeasureTheory.Measure α) [MeasureTheory.IsFiniteMeasure ν] :
(μ.compProd κ).rnDeriv (ν.compProd η) =ᵐ[ν.compProd η] fun (p : α × β) => μ.rnDeriv ν p.1 * (μ.compProd κ).rnDeriv (μ.compProd η) p

The Radon-Nikodym derivative ∂(μ ⊗ₘ κ)/∂(ν ⊗ₘ η) equals the product of ∂μ/∂ν and ∂(μ ⊗ₘ κ)/∂(μ ⊗ₘ η).