Download lean/OAI/Analysis/FiniteFactor/FiniteMixtureAlgebra.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.56 kB
| 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 | |