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Birkhoff ergodic theorem for ergodic finite-measure systems
Statement
Assume the Axiom of Choice. Let preserve an ergodic measure with . For every real- or complex-valued ,
both -almost everywhere and in .
Facts & Assumptions
Given: AC, the ergodic finite positive measure system, and in the Statement.
Birkhoff supplies an invariant a.e. limit (Birkhoff pointwise ergodic theorem).
Under AC, the finite-measure identification gives (Finite-measure identification of the Birkhoff limit, The Axiom of Choice).
In an ergodic probability system every finite-valued a.e.-invariant real or complex measurable function is constant a.e. (Equivalent invariant-set and invariant-function criteria for ergodicity).
On a finite measure space the averages converge in to their Birkhoff limit (Ergodic averages converge in Lp on finite-measure spaces).
Proof
Normalize the measure to . This does not change measurable sets, null sets, invariance, or ergodicity, and preserves . By [F1], a.e. and a.e.
Applying [F3] to the normalized probability system makes a.e. for some scalar . The event identity of [F2] at gives so . This is where the AC-dependent Radon–Nikodym identification is used.
The case of [F4] gives . Combining with step 2.1 proves both modes of convergence. For complex , [F3] and the integral identity apply to its two components, producing the same complex constant formula.
Depends on
Used by
Dependency tree · two levels
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Sources
- Alessio Del Vigna, The Birkhoff Ergodic Theorem (standard reference, not scraped)
- Charles Walkden, Ergodic Theory lecture notes (standard reference, not scraped)
- Omri Sarig, Lecture Notes on Ergodic Theory (2023) (standard reference, not scraped)