We first prove invariance, before using any assertion that requires it. Write . Choose a point whose forward orbit has the prescribed convergence against every continuous function; the hypothesis gives a set of such points of full measure. For each continuous function , telescoping gives
because a continuous function on a compact metric space is bounded. Both test functions are continuous, so their averages converge to their prescribed integrals. Hence
for every continuous function . The continuous-test criterion for an invariant measure therefore gives . The points in the hypothesis can now be called generic points for an invariant measure.
For ergodicity, let be a Borel set invariant modulo null sets, and set , . Then almost everywhere. Since invariance preserves null preimages, deleting the union of all iterated preimages of the exceptional null set gives for every on one full-measure set. Thus almost everywhere for every .
Given , the continuous approximation of Borel indicators on a compact metric space, proved in the supporting steps below, supplies with and . By the hypothesis, almost everywhere. Since , the dominated convergence theorem also gives convergence in . Invariance and the triangle inequality give the uniform estimate
Consequently,
Letting and then proves . Explicitly,
so . Every invariant Borel set has measure zero or one, which proves
This proof controls measurable-set averages through a uniform estimate; convergence only against continuous test functions is not silently assumed to include indicator functions.
Here is an alternative route for the ergodicity step using the Birkhoff ergodic theorem. After invariance has been proved, the theorem identifies the almost-everywhere limit of with . The hypothesis therefore gives
for every continuous function . For an invariant Borel set , approximate in by such a . Since is measurable with respect to the invariant sigma-algebra, its conditional expectation is itself. The L1 contraction of conditional expectation gives
Arbitrarily accurate continuous approximation forces almost everywhere. Thus this use of the theorem reaches the same zero-or-one criterion as the direct averaging proof above, without assuming in advance that is ergodic.
For a Borel set and , inner regularity supplies a compact set with . Independently, outer regularity supplies an open set with . Because and the measure is finite,
This creates an arbitrarily small measurable transition region between a compact inner approximation and an open outer approximation. The cutoff in the next step then approximates , rather than merely approximating the number .
For the compact set chosen in the preceding step, the Urysohn lemma gives a continuous function equal to one on and zero on . In a metric space this cutoff can also be written explicitly, when and are both nonempty:
The two sets are disjoint and closed, so the denominator never vanishes, and their distance functions are continuous. If is empty, take ; if and is nonempty, take . These choices satisfy the required boundary conditions in the exceptional cases.
The difference vanishes on and outside , and its absolute value is at most one everywhere. Therefore
This is the precise continuous approximation required by both proofs of ergodicity, and also gives .

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