Documentation

GibbsMeasure.Mathlib.Probability.Kernel.Proper

Proper kernels #

We define the notion of properness for measure kernels and highlight important consequences.

theorem ProbabilityTheory.Kernel.IsProper.integral_bdd_mul {X : Type u_1} {𝓑 𝓧 : MeasurableSpace X} {π : Kernel X X} {f g : X} {x₀ : X} [IsFiniteKernel π] (h𝓑𝓧 : 𝓑 𝓧) ( : π.IsProper) (hf : MeasureTheory.Integrable f (π x₀)) (hg : MeasureTheory.StronglyMeasurable g) (hgbdd : C > 0, ∀ (x : X), g x C) :
(x : X), g x * f x π x₀ = g x₀ * (x : X), f x π x₀