OAI/GroupTheory/PolycyclicRecognition/Analysis/ErgodicDecompositionInput.lean
3 declarations, 0 contain sorry, 0 declared as axioms
Ergodic decomposition of invariant probabilities
Greschonig--Schmidt, Ergodic decomposition of quasi-invariant probability measures, Colloquium Mathematicum 84/85 (2000), 495--514, Theorem 5.2(1), specialized to the zero Radon--Nikodym cocycle. Components are invariant ergodic probabilities and their barycenter is the original measure. The formalization records setwise measurability, the barycenter identity, and invariance of the component map.
Source: https://www.mat.univie.ac.at/~kschmidt/Publications/decomposition.pdf
- def
OAI.PolycyclicRecognition.ErgodicDecompositionInputline 25Source documentation
The invariant specialization of Greschonig--Schmidt Theorem 5.2. All topological and standard-Borel hypotheses are retained in the binder.
def ErgodicDecompositionInput (G X : Type*) [Group G] [TopologicalSpace G] [IsTopologicalGroup G] [LocallyCompactSpace G] [SecondCountableTopology G] [TopologicalSpace X] [MeasurableSpace X] [BorelSpace X] [StandardBorelSpace X] [MulAction G X] [ContinuousSMul G X] : Prop := … - theorem
OAI.PolycyclicRecognition.exists_ergodic_probability_of_decompositionline 44Source documentation
Only the existence of one component is needed for the first stationary comparison; the stronger setwise statement is retained for the later coupling.
theorem exists_ergodic_probability_of_decomposition (hdec : ErgodicDecompositionInput G X) (μ : Measure X) [IsProbabilityMeasure μ] [SMulInvariantMeasure G X μ] : ∃ ν : Measure X, IsProbabilityMeasure ν ∧ ErgodicSMul G X ν := by …Mentions: OAI.PolycyclicRecognition.ErgodicDecompositionInput
- theorem
OAI.PolycyclicRecognition.exists_ergodic_probability_of_meanline 55Source documentation
An actual invariant mean followed by the published decomposition supplies an ergodic probability on a nonempty compact action space.
theorem exists_ergodic_probability_of_mean [CompactSpace X] [T2Space X] [Nonempty X] (M : ThompsonNonamenability.InvariantMean G) (hdec : ErgodicDecompositionInput G X) : ∃ ν : Measure X, IsProbabilityMeasure ν ∧ ErgodicSMul G X ν := by …Mentions: OAI.ThompsonNonamenability.InvariantMean, OAI.PolycyclicRecognition.ErgodicDecompositionInput