Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedaudited 2026-09-13
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Doubling is ergodic for Lebesgue measure

Statement

Assume countable choice. Doubling is ergodic for Borel Lebesgue probability and its completion.

Facts & Assumptions

[F1]

Doubling preserves each of the two measures. Doubling preserves Lebesgue measure.

[F2]

It suffices that strictly invariant measurable sets have measure zero or one. Equivalent invariant-set and invariant-function criteria for ergodicity.

[F3]

A positive Lebesgue measurable set has an interior density-one point. Lebesgue density theorem.

[F4]

A nonzero affine branch scales measure by its slope, with translation handled by its separate supplier. For a nonzero real c, dilation by c multiplies Lebesgue outer measure by cn, and reflection in the origin preserves it.

Proof

Given: Assume countable choice. Doubling is ergodic for Borel Lebesgue probability and its completion.

1.1

Let A be strictly invariant: D1A=A. Then (Dn)1A=A for every n. On In,k=[k/2n,(k+1)/2n) the map Dn is x2nxk, so AIn,k=(A+k)/2n. Translation and dilation give λ(AIn,k)=2nλ(A)=λ(In,k)λ(A).

F1F4F5
2.1

If λ(A)>0, choose a density-one point xA(0,1). Let I_n be its unique half-open depth-n cell and put h_n=2^{-n}. This cell lies in the centered interval (xhn,x+hn) apart from possibly an endpoint of measure zero. Thus λ(InA)/hn2λ((xhn,x+hn)A)/(2hn)0. But step 1.1 makes the left side identically 1λ(A), so λ(A)=1. Every strict invariant set is therefore null or conull, and the invariant-set criterion proves ergodicity. Countable choice is used in the measure, scaling and density suppliers.

step 1.1F2F3F4F5

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