Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10
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Mixing is checkable on a generating pi-system

Statement

Let (X,A,μ,T) be a measure-preserving probability system and P a generating pi-system containing X. Strong mixing is equivalent to dn(A,B)0 for A,BP. Weak mixing is equivalent to N1n<Ndn(A,B)0 for A,BP, where dn(A,B)=μ(ATnB)μ(A)μ(B).

Facts & Assumptions

[F1]

The two properties quantify convergence of correlations or their absolute averages over all measurable pairs Strong and weak mixing on a probability space.

[F2]

On a finite measure space every measurable set has arbitrarily accurate algebra approximants Approximation in symmetric difference by a generating algebra.

[F3]

The measure of a finite union is at most the sum of its measures Finite and countable subadditivity of measures.

[F4]

Integration of finite linear combinations of integrable functions is linear The Lebesgue integral is linear on L1(μ).

Proof

Given: The objects and hypotheses in the statement.

1.1

Let C consist of finite Boolean combinations of members of P. Each indicator of an atom of a finite Boolean partition is a product of factors 1P and 11P. Expanding the product expresses it as a finite integer linear combination of indicators of intersections of members of P. Empty intersections are X, which lies in P, and all other intersections lie in P by the pi-system property. Finite sums of these atom indicators express every 1C, CC, in this way.

given
2.1

Integration and multiplication of finite sums now express dn(C,D) as a finite linear combination j,kajbkdn(Pj,Qk). In the strong case each summand tends to zero. In the weak case the average of the absolute value is at most j,kajbkN1n<Ndn(Pj,Qk), which tends to zero. The respective test therefore holds on C.

F1step 1.1F4
3.1

The family C is an algebra generating A. For measurable A,B and δ>0, choose C,D in it with μ(AC),μ(BD)<δ. Measure preservation gives μ(Tn(BD))=μ(BD) by repeated pullback. Thus the difference of the intersection measures is bounded by the sum of these two errors. Also μ(A)μ(B)μ(C)μ(D)μ(AC)+μ(BD), since all masses are at most one. Consequently dn(A,B)dn(C,D)<4δ uniformly in n.

F2step 2.1givenF3
4.1

In the strong case the limsup of dn(A,B) is at most 4δ. In the weak case the same bound holds for the limsup of its absolute Cesaro averages. Letting δ decrease to zero proves the full respective property. Conversely either full property restricts to the pairs in P by its definition.

F1step 2.1step 3.1

Depends on

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Sources