A probability measure is -invariant when
Equivalently, the pushforward measure satisfies , so is a measure-preserving transformation.
Assuming is -invariant, is an ergodic transformation when every measurable set invariant modulo null sets is trivial:
Equivalently, the invariant sigma-algebra is trivial modulo null sets.
The Birkhoff ergodic theorem states that if is a measure-preserving transformation and , then
where is the invariant sigma-algebra. The limit has the same integral as . If is an ergodic transformation, the limit is the constant almost everywhere.
Take the unit circle with its Borel sigma-algebra and normalized Lebesgue measure, and let
This is the doubling map. Its two inverse branches halve length, so Lebesgue invariance of the doubling map gives . Moreover
for every point of the circle.
For every , invariance gives
Thus is nonempty, so is a surjective function. A surjection from a finite set to itself is a bijection. Therefore
This is the finite full-support measure-preserving map is bijective principle.
Because is a countable set and , some satisfies . Invariance and the inclusion give
If the forward orbit contained infinitely many distinct points, their disjoint singletons would each have measure at least , contradicting that is a probability measure. The orbit therefore eventually enters a finite periodic orbit .
Now , so . Since is invariant,
Thus belongs to the invariant sigma-algebra modulo null sets. It has positive measure, so the fact that is an ergodic transformation forces
This is the ergodic invariant probability on a countable state space has finite cyclic support.

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