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Krylov–Bogolyubov existence of an invariant probability
Statement
Assume countable choice. Every continuous self-map of a nonempty compact metric space admits a Borel probability satisfying for every Borel . Thus is a measure-preserving probability system.
Facts & Assumptions
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.
The Dirac set function at a point is a probability on any sigma-algebra. A Dirac set function is a probability measure.
Nonnegative measurable functions have increasing simple approximations. Every nonnegative measurable function is the increasing limit of simple measurable functions.
Increasing nonnegative measurable approximations have increasing integrals converging to the limit integral. Monotone convergence for the integral.
Integrals are linear on integrable real functions. The Lebesgue integral is linear on .
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.
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 of a nonempty compact metric space admits a Borel probability satisfying for every Borel . Thus is a measure-preserving probability system.
Fix one point and, for , define 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 is a Borel probability. For indicators its integral is exactly ; the simple integral gives this for every nonnegative simple function. Applying [F3] and [F4], with finite sums of increasing limits, gives for nonnegative Borel . For bounded real , apply this to and subtract by [F5]. The starting-point choice is a single existential instantiation, not an axiom of choice.
By [F1] there are and a Borel probability such that for all continuous real . Continuity of ensures that is also continuous. Step 1.1 telescopes to , of absolute value at most . Hence for every such , by [F5] and passage to the two limits.
Define for Borel . The class of sets whose inverse images are Borel is a sigma-algebra containing the opens, since is continuous; thus is defined on all Borel sets. Inverse images commute with complements and disjoint countable unions, so is a Borel probability. For indicators, . The finite simple-integral formula, then [F3] and [F4] on both sides, prove for every nonnegative Borel , including infinite values. Applying it first to verifies integrability of whenever is -integrable; positive/negative decomposition and [F5] then prove the real signed identity. Combining it with step 2.1 gives equality of and on all continuous real integrals.
To pass from these test functions to sets without invoking a stronger-choice LCH theorem, let be a nonempty closed subset of and put for . The infimum defining is 1-Lipschitz by the triangle inequality. It is zero on and positive outside , since the complement of is open. Thus is continuous and . By [F4] and the equal continuous integrals, ; total masses one give . Empty also has equal measure zero. The closed subsets form a nonempty pi-system containing and generate the Borel sigma-algebra because their complements are exactly the opens. All hypotheses of [F6] hold, so on the Borel sets. By the definition of , this is precisely [F7]. Countable choice enters through [F1]; the orbit, metric test functions and monotone simple approximants require no further selection principle.
Depends on
- Probability sequences on compact metric spaces have integral-convergent subsequences
- A Dirac set function is a probability measure
- Every nonnegative measurable function is the increasing limit of simple measurable functions
- Monotone convergence for the integral
- The Lebesgue integral is linear on $L^1(\mu)$
- Finite measures agreeing on a generating pi-system and on the whole space are equal
- Measure-preserving transformations and systems
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- E–W Theorem 4.1 and Corollary 4.2 p.98 (standard reference, not scraped)