Kernel associated with a conditional expectation #
We define condExpKernel μ m, a kernel from Ω to Ω such that for all integrable functions f,
μ[f | m] =ᵐ[μ] fun ω => ∫ y, f y ∂(condExpKernel μ m ω).
This kernel is defined if Ω is a standard Borel space. In general, μ⟦s | m⟧ maps a measurable
set s to a function Ω → ℝ≥0∞, and for all s that map is unique up to a μ-null set. For all
a, the map from sets to ℝ≥0∞ that we obtain that way verifies some of the properties of a
measure, but the fact that the μ-null set depends on s can prevent us from finding versions of
the conditional expectation that combine into a true measure. The standard Borel space assumption
on Ω allows us to do so.
Main definitions #
condExpKernel μ m: kernel such thatμ[f | m] =ᵐ[μ] fun ω => ∫ y, f y ∂(condExpKernel μ m ω).
Main statements #
condExp_ae_eq_integral_condExpKernel:μ[f | m] =ᵐ[μ] fun ω => ∫ y, f y ∂(condExpKernel μ m ω).
Kernel associated with the conditional expectation with respect to a σ-algebra. It satisfies
μ[f | m] =ᵐ[μ] fun ω => ∫ y, f y ∂(condExpKernel μ m ω).
It is defined as the conditional distribution of the identity given the identity, where the second
identity is understood as a map from Ω with the σ-algebra mΩ to Ω with σ-algebra m ⊓ mΩ.
We use m ⊓ mΩ instead of m to ensure that it is a sub-σ-algebra of mΩ. We then use
Kernel.comap to get a kernel from m to mΩ instead of from m ⊓ mΩ to mΩ.
Equations
- ProbabilityTheory.condExpKernel μ m = if _h : Nonempty Ω then (ProbabilityTheory.condDistrib id id μ).comap id ⋯ else 0
Instances For
Alias of ProbabilityTheory.condExpKernel.
Kernel associated with the conditional expectation with respect to a σ-algebra. It satisfies
μ[f | m] =ᵐ[μ] fun ω => ∫ y, f y ∂(condExpKernel μ m ω).
It is defined as the conditional distribution of the identity given the identity, where the second
identity is understood as a map from Ω with the σ-algebra mΩ to Ω with σ-algebra m ⊓ mΩ.
We use m ⊓ mΩ instead of m to ensure that it is a sub-σ-algebra of mΩ. We then use
Kernel.comap to get a kernel from m to mΩ instead of from m ⊓ mΩ to mΩ.
Instances For
Alias of ProbabilityTheory.condExpKernel_eq.
Alias of ProbabilityTheory.condExpKernel_apply_eq_condDistrib.
Alias of ProbabilityTheory.stronglyMeasurable_condExpKernel.
Alias of MeasureTheory.AEStronglyMeasurable.integral_condExpKernel.
Alias of ProbabilityTheory.aestronglyMeasurable_integral_condExpKernel.
Alias of ProbabilityTheory.aestronglyMeasurable_integral_condExpKernel.
Alias of MeasureTheory.Integrable.integral_norm_condExpKernel.
Alias of MeasureTheory.Integrable.norm_integral_condExpKernel.
Alias of ProbabilityTheory.condExpKernel_ae_eq_trim_condExp.
Alias of ProbabilityTheory.condExp_ae_eq_integral_condExpKernel'.
The conditional expectation of f with respect to a σ-algebra m is almost everywhere equal to
the integral ∫ y, f y ∂(condExpKernel μ m ω).
Alias of ProbabilityTheory.condExp_ae_eq_integral_condExpKernel.
The conditional expectation of f with respect to a σ-algebra m is almost everywhere equal to
the integral ∫ y, f y ∂(condExpKernel μ m ω).
Auxiliary lemma for condExp_ae_eq_trim_integral_condExpKernel.
The conditional expectation of f with respect to a σ-algebra m is
(μ.trim hm)-almost everywhere equal to the integral ∫ y, f y ∂(condExpKernel μ m ω).
Relation between conditional expectation, conditional kernel and the conditional measure. #
Alias of ProbabilityTheory.condExp_set_generateFrom_singleton.
Alias of ProbabilityTheory.condExpKernel_singleton_ae_eq_cond.