openAI-math-dataset / lean /OAI /Analysis /FiniteFactor /FiniteMixtureAlgebra.lean
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Add lean source and binary files (part 17)
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import OAI.Analysis.FiniteFactor.FiniteProductAbsoluteContinuity
import Mathlib.Algebra.BigOperators.Group.Finset.Powerset
namespace OAI
namespace FiniteFactor
open MeasureTheory Finset
open scoped ENNReal
noncomputable section
/-- Equal-weight mixture of two probability measures. -/
def probabilityAverage {X : Type*} [MeasurableSpace X] (μ ν : Measure X) : Measure X :=
(2 : ℝ≥0∞)⁻¹ • (μ + ν)
instance probabilityAverage_probability {X : Type*} [MeasurableSpace X]
(μ ν : Measure X) [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] :
IsProbabilityMeasure (probabilityAverage μ ν) := by
constructor
simpa [probabilityAverage,Measure.smul_apply,Measure.add_apply,measure_univ]
using ENNReal.inv_two_add_inv_two
/-- A single-coordinate update, as a linear operation on the remaining law. -/
def coordinateUpdateLaw {ι X : Type*} [DecidableEq ι] [MeasurableSpace X]
(i : ι) (μ : Measure X) (ν : Measure (ι → X)) : Measure (ι → X) :=
(μ.prod ν).map (fun z : X × (ι → X) => Function.update z.2 i z.1)
theorem measurable_coordinateUpdate {ι X : Type*} [DecidableEq ι] [MeasurableSpace X] (i : ι) :
Measurable (fun z : X × (ι → X) => Function.update z.2 i z.1) := by
apply Measurable.of_eval
intro k
by_cases hk : k = i
· subst k; simpa using (measurable_fst : Measurable (Prod.fst : X × (ι → X) → X))
· simpa [Function.update_of_ne hk,Function.comp_def] using (measurable_pi_apply k).comp
(measurable_snd : Measurable (Prod.snd : X × (ι → X) → (ι → X)))
theorem coordinateUpdateLaw_add_right {ι X : Type*} [DecidableEq ι] [MeasurableSpace X]
(i : ι) (μ : Measure X) (ν η : Measure (ι → X))
[SFinite μ] [SFinite ν] [SFinite η] :
coordinateUpdateLaw i μ (ν+η) = coordinateUpdateLaw i μ ν + coordinateUpdateLaw i μ η := by
rw [coordinateUpdateLaw,Measure.prod_add,Measure.map_add _ _ (measurable_coordinateUpdate i)]
rfl
theorem coordinateUpdateLaw_average {ι X : Type*} [DecidableEq ι] [MeasurableSpace X]
(i : ι) (μ ν : Measure X) (η : Measure (ι → X))
[SFinite μ] [SFinite ν] [SFinite η] :
coordinateUpdateLaw i (probabilityAverage μ ν) η =
(2 : ℝ≥0∞)⁻¹ • (coordinateUpdateLaw i μ η + coordinateUpdateLaw i ν η) := by
unfold coordinateUpdateLaw probabilityAverage
rw [Measure.prod_smul_left,Measure.add_prod,
Measure.map_smul _ (measurable_coordinateUpdate i).aemeasurable,
Measure.map_add _ _ (measurable_coordinateUpdate i)]
end
end FiniteFactor
end OAI