Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10
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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

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Every borel probability on a polish space is tight

Statement

Assume AC. Every Borel probability on a Polish space S is tight.

Facts & Assumptions

[F1]

Assuming countable choice, Borel probability measures on Polish spaces are inner regular: Assume countable choice. If P is Polish and μ is a Borel probability measure on P, then for every Borel AP and ε>0 there is a compact KA with μ(AK)<ε.

[F2]

Tight family of probability measures: A family A of Borel probabilities on a metric space S is tight if, for every ε>0, there is a compact KS such that μ(SK)<ε for every μA. One K must work for the whole family. Compactness is def-metric-compactness. The empty family is tight, witnessed by the empty compact set.

[F3]

Continuity from below for measures: Let (En)nN be an increasing sequence of measurable sets for a measure μ, so EnEn+1. Then

μ(nNEn)=supnNμ(En).

No finiteness hypothesis is required.

[F4]

Finite and countable subadditivity of measures: Let μ be a measure and let (Ek)kN be measurable. Then

μ(kNEk)k=0μ(Ek).

For every mN one also has

μ(k<mEk)k<mμ(Ek),

including m=0, where both sides are 0.

[F5]

A complete, totally bounded metric space is compact, proved from countable choice used exactly once: Assume the Axiom of Countable Choice (def-countable-choice). Let (X,d) be a metric space (def-metric-space) that is complete (def-complete-metric-space) and totally bounded (def-totally-bounded). Then (X,d) is compact (def-metric-compactness).

Where the axiom is spent, and why the weaker principle suffices. ACω is used exactly once, at step 3.1, to fix one finite 1/(n+1)-net together with a listing of it for every nN at once. The family of sets being chosen from is written down before any selection is made and does not depend on the earlier selections, which is precisely the situation countable choice covers and dependent choice (def-dependent-choice) is not needed for. Everything after step 3.1 is canonical: at each stage the construction takes the least admissible index in the listing already fixed.

As always on this page, the claim is an upper bound on the cost of the proof given here, not an assertion that ACω is necessary for the theorem.

Proof

Given: The objects, hypotheses and definitions in the statement. Its conclusions are to be established below.

1.1

AC restricted to any countable nonempty family gives countable choice. Thus F1 applies to the given Polish S and its probability μ. Take the Borel set A=S; for each ε>0 it supplies compact K with μ(SK)<ε. This is F2 for the one-law family.

F1F2
2.1

The complete totally bounded criterion F5 applies under countable choice, already supplied by AC in step 1.1. Use F4 on the countably many omitted sets. Use F3 on the increasing finite unions below. The compact-set construction behind this application can be made explicit. Fix a compatible complete metric and a countable dense sequence (ai). For each m1, finite initial unions of open balls B(ai,2m) increase to S; choose their least length with loss below ε2m1. Let Cm be the corresponding finite union of closed balls, and K=mCm. Subadditivity gives μ(SK)mμ(SCm)<ε. K is closed and hence complete. For any η>0 choose m with 21m<η; each selected ball meeting K contributes one point of K, and those finitely many points form an η-net in K. Thus K is totally bounded and complete, hence compact, which realizes the bound in step 1.1.

step 1.1F3F4F5

Depends on

Used by

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Sources