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Krylov–Bogolyubov existence of an invariant probability

Statement

Assume countable choice. Every continuous self-map T:KK of a nonempty compact metric space admits a Borel probability μ satisfying μ(T1E)=μ(E) for every Borel EK. 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:KK of a nonempty compact metric space admits a Borel probability μ satisfying μ(T1E)=μ(E) for every Borel EK. Thus (K,B(K),μ,T) is a measure-preserving probability system.

1.1

Fix one point xK and, for N1, define μN(E)=N1j=0N1δTjx(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 N1j=0N11E(Tjx); the simple integral gives this for every nonnegative simple function. Applying [F3] and [F4], with finite sums of increasing limits, gives fdμN=N1j=0N1f(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.

F2F3F4F5
2.1

By [F1] there are Nr and a Borel probability μ such that fdμNrfdμ for all continuous real f. Continuity of T ensures that fT is also continuous. Step 1.1 telescopes to (fTf)dμN=(f(TNx)f(x))/N, of absolute value at most 2f/N. Hence fTdμ=fdμ for every such f, by [F5] and passage to the two limits.

1.1F1F5
3.1

Define ν(E)=μ(T1E) 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, 1Edν=1ETdμ. The finite simple-integral formula, then [F3] and [F4] on both sides, prove fdν=fTdμ for every nonnegative Borel f, including infinite values. Applying it first to f verifies integrability of fT 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.

2.1F3F4F5
4.1

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(0,1md(z,F)) for m1. 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 1hm1KF. By [F4] and the equal continuous integrals, μ(KF)=ν(KF); 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.

2.13.1F1F4F6F7

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