Finite Product Factorization Of Lower Integrals
ProvedFunctionalInequalities.Probability.lintegral_pi_prod_fin_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This statement gives the finite-product factorization of a lower integral.
Let be a measurable space, let be a sigma-finite measure on , let , and let be measurable for every . Then
This is the finite-coordinate independence identity used in product-measure and suspension moment calculations.
Formalization Note. The integrands and integrals take values in , represented by ENNReal; the product measure is Measure.pi.
Original Lean declaration header
Within namespace FunctionalInequalities.Probability. Shown in its original module context. Proof omitted.
theorem lintegral_pi_prod_fin
(μ : Measure E) [SigmaFinite μ] (k : ℕ) (g : Fin k → E → ENNReal)
(hg : ∀ i, Measurable (g i)) :
(∫⁻ x, ∏ i : Fin k, g i (x i) ∂(Measure.pi fun _ : Fin k => μ)) =
∏ i : Fin k, ∫⁻ x, g i x ∂μ
Module navigation
Module: Probability/Product.
Next: pi_normalizedSum_moments.
Source excerpt, lines 27–31 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Product
open MeasureTheory ProbabilityTheory Filter
variable {E : Type*}
variable [MeasurableSpace E]
Formal statement
theorem FunctionalInequalities.Probability.lintegral_pi_prod_fin_readable
(μ : Measure E) [SigmaFinite μ] (k : ℕ) (g : Fin k → E → ENNReal)
(hg : ∀ i, Measurable (g i)) :
(∫⁻ x, ∏ i : Fin k, g i (x i) ∂(Measure.pi fun _ : Fin k => μ)) =
∏ i : Fin k, ∫⁻ x, g i x ∂μ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Product.lean#L26-L73 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Product`, declaration `FunctionalInequalities.Probability.lintegral_pi_prod_fin`; the repository is private at upload time).