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TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
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Krylov–Bogolyubov existence of an invariant probability

Statement

Assume countable choice. Every continuous self-map T:K→K of a nonempty compact metric space admits a Borel probability μ satisfying μ(T−1E)=μ(E) for every Borel E⊆K. Thus (K,B(K),μ,T) is a measure-preserving probability system.

Facts & Assumptions

[F1]

Under countable choice, probability sequences on nonempty compact metric spaces have subsequences converging against every real continuous test function to a Borel probability. Probability sequences on compact metric spaces have integral-convergent subsequences.

[F2]

The Dirac set function at a point is a probability on any sigma-algebra. A Dirac set function is a probability measure.

[F3]

Nonnegative measurable functions have increasing simple approximations. Every nonnegative measurable function is the increasing limit of simple measurable functions.

[F4]

Increasing nonnegative measurable approximations have increasing integrals converging to the limit integral. Monotone convergence for the integral.

[F5]

Integrals are linear on integrable real functions. The Lebesgue integral is linear on L1(μ).

[F6]

Finite measures agreeing on a generating pi-system and on total mass coincide. Finite measures agreeing on a generating pi-system and on the whole space are equal.

[F7]

Measure preservation means equality of the measure of every measurable set and its inverse image. Measure-preserving transformations and systems.

Proof

Given: Assume countable choice. Every continuous self-map T:K→K of a nonempty compact metric space admits a Borel probability μ satisfying μ(T−1E)=μ(E) for every Borel E⊆K. Thus (K,B(K),μ,T) is a measure-preserving probability system.

1.1F2F3F4F5

Fix one point x∈K and, for N≥1, define μN(E)=N−1∑j=0N−1δTjx(E) on the Borel sets. By [F2], each summand is a probability; finite sums preserve countable additivity because a finite sum commutes with the increasing partial sums of a nonnegative series. Thus μN is a Borel probability. For indicators its integral is exactly N−1∑j=0N−11E(Tjx); the simple integral gives this for every nonnegative simple function. Applying [F3] and [F4], with finite sums of increasing limits, gives ∫f dμN=N−1∑j=0N−1f(Tjx) for nonnegative Borel f. For bounded real f, apply this to f+,f− and subtract by [F5]. The starting-point choice is a single existential instantiation, not an axiom of choice.

2.11.1F1F5

By [F1] there are Nr↑∞ and a Borel probability μ such that ∫f dμNr→∫f dμ for all continuous real f. Continuity of T ensures that f∘T is also continuous. Step 1.1 telescopes to ∫(f∘T−f) dμN=(f(TNx)−f(x))/N, of absolute value at most 2∥f∥∞/N. Hence ∫f∘T dμ=∫f dμ for every such f, by [F5] and passage to the two limits.

3.12.1F3F4F5

Define ν(E)=μ(T−1E) for Borel E. The class of sets whose inverse images are Borel is a sigma-algebra containing the opens, since T is continuous; thus ν is defined on all Borel sets. Inverse images commute with complements and disjoint countable unions, so ν is a Borel probability. For indicators, ∫1E dν=∫1E∘T dμ. The finite simple-integral formula, then [F3] and [F4] on both sides, prove ∫f dν=∫f∘T dμ for every nonnegative Borel f, including infinite values. Applying it first to ∣f∣ verifies integrability of f∘T whenever f is ν-integrable; positive/negative decomposition and [F5] then prove the real signed identity. Combining it with step 2.1 gives equality of μ and ν on all continuous real integrals.

4.12.13.1F1F4F6F7∎

To pass from these test functions to sets without invoking a stronger-choice LCH theorem, let F be a nonempty closed subset of K and put hm(z)=max⁡(0,1−md(z,F)) for m≥1. The infimum defining d(z,F) is 1-Lipschitz by the triangle inequality. It is zero on F and positive outside F, since the complement of F is open. Thus hm is continuous and 1−hm↑1K∖F. By [F4] and the equal continuous integrals, μ(K∖F)=ν(K∖F); total masses one give μ(F)=ν(F). Empty F also has equal measure zero. The closed subsets form a nonempty pi-system containing K and generate the Borel sigma-algebra because their complements are exactly the opens. All hypotheses of [F6] hold, so μ=ν on the Borel sets. By the definition of ν, this is precisely [F7]. Countable choice enters through [F1]; the orbit, metric test functions and monotone simple approximants require no further selection principle.

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