Alphabeta Math
PropositionStatement: AI-adaptedProof: AI-adaptedPipeline-generatedaudited 2026-09-10
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Positive sets sweep out ergodic probability systems

Statement

In a measure-preserving probability system the following are equivalent: ergodicity; for every measurable A with μ(A)>0, μ(⋃n≥1T−nA)=1; and for every measurable A,B of positive measure there is n≥1 with μ(B∩T−nA)>0.

Facts & Assumptions

[F1]

On probability systems ergodicity is equivalent to null/conull modulo-null invariant sets Equivalent invariant-set and invariant-function criteria for ergodicity.

[F2]

Every nonnegative iterate preserves measure Compositions, iterates and completions preserve invariance.

[F3]

Nested measurable sets of equal finite measure have null difference Measure of a set difference when the smaller set has finite measure.

[F4]

A countable union of measurable null sets is null Finite and countable subadditivity of measures.

Proof

Given: The objects and hypotheses in the statement.

1.1F1F2F3given

Assume ergodicity and put U=⋃n≥1T−nA. Then T−1U⊆U and μ(T−1U)=μ(U)≤1. The finite-measure difference formula gives μ(U∖T−1U)=0. Since μ(U)≥μ(T−1A)=μ(A)>0, the modulo-null invariant-set criterion yields μ(U)=1.

2.1step 1.1givenF4

If the sweep-out property holds and μ(B)>0, then μ(B∩U)=μ(B)>0. Were every B∩T−nA null, their countable union B∩U would be null. Thus at least one intersection has positive measure.

3.1F1step 2.1given∎

If the positive-intersection property holds and T−1A=A, then T−nA=A for all n. Taking B=X∖A gives B∩T−nA=∅ for every n. The property excludes both A and its complement having positive measure, proving ergodicity.

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Sources