Download lean/OAI/Analysis/CircleDomains/Probability/CodeLawMixtures.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.64 kB
| import OAI.Analysis.CircleDomains.Probability.CodeLawMeasures | |
| import OAI.Analysis.CircleDomains.Probability.CodePathLaws | |
| import OAI.Analysis.CircleDomains.Probability.ProbabilityMixtureMap | |
| namespace OAI | |
| /-! The mean occupation, tuple measure, and untagged path law of a code mixture | |
| are the corresponding mixtures of the original means and path laws. -/ | |
| open MeasureTheory | |
| open scoped Topology | |
| noncomputable section | |
| namespace CircleDomainRigidity | |
| variable {X Y Z : Type*} [MetricSpace X] [MetricSpace Y] | |
| [MeasurableSpace X] [MeasurableSpace C(PathTime, X)] [MeasurableSpace Z] | |
| theorem measurable_codePathLaw (d : PathCodeData X Y) : | |
| Measurable (codePathLaw d) := | |
| measurable_probability_pushforward (codePath d) (measurable_codePath d) | |
| theorem codePathLaw_probabilityMixture (d : PathCodeData X Y) | |
| (P : ProbabilityMeasure Z) (law : Z → ProbabilityMeasure (BasePathCode d)) | |
| (hlaw : Measurable law) : | |
| codePathLaw d (probabilityMixture P law hlaw) = | |
| probabilityMixture P (fun z => codePathLaw d (law z)) | |
| ((measurable_codePathLaw d).comp hlaw) := | |
| probabilityMixture_map P law hlaw (codePath d) (measurable_codePath d) | |
| theorem measurable_meanCodeTuple (d : PathCodeData X Y) : | |
| Measurable (meanCodeTuple d) := | |
| (Measure.measurable_bind' (measurable_baseCodeTuple d)).comp measurable_subtype_coe | |
| theorem meanCodeTuple_probabilityMixture (d : PathCodeData X Y) | |
| (P : ProbabilityMeasure Z) (law : Z → ProbabilityMeasure (BasePathCode d)) | |
| (hlaw : Measurable law) : | |
| meanCodeTuple d (probabilityMixture P law hlaw) = | |
| (P : Measure Z).bind (fun z => meanCodeTuple d (law z)) := by | |
| exact Measure.bind_bind (measurable_subtype_coe.comp hlaw).aemeasurable | |
| (measurable_baseCodeTuple d).aemeasurable | |
| variable [MeasurableSpace Y] [BorelSpace Y] | |
| [BorelSpace C(PathTime, X)] [MeasurableSpace C(PathTime, Y)] [BorelSpace C(PathTime, Y)] | |
| theorem measurable_meanCodeOccupation (d : PathCodeData X Y) | |
| (hU : IsOpen d.quotientDomain) : Measurable (meanCodeOccupation d) := | |
| (Measure.measurable_bind' (measurable_baseCodeOccupation d hU)).comp measurable_subtype_coe | |
| theorem meanCodeOccupation_probabilityMixture (d : PathCodeData X Y) | |
| (hU : IsOpen d.quotientDomain) | |
| (P : ProbabilityMeasure Z) (law : Z → ProbabilityMeasure (BasePathCode d)) | |
| (hlaw : Measurable law) : | |
| meanCodeOccupation d (probabilityMixture P law hlaw) = | |
| (P : Measure Z).bind (fun z => meanCodeOccupation d (law z)) := by | |
| exact Measure.bind_bind (measurable_subtype_coe.comp hlaw).aemeasurable | |
| (measurable_baseCodeOccupation d hU).aemeasurable | |
| end CircleDomainRigidity | |
| end | |
| end OAI | |