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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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Doob submartingale convergence theorem

Statement

Assume AC. If X is a submartingale with C:=supnE[Xn+]<, then there is an integrable finite random variable X such that XnX almost surely.

Facts & Assumptions

Given: The hypotheses, objects, and conventions in the Statement.

[F1]

Doob upcrossing inequality bounds every finite-horizon rational upcrossing count.

[F2]

Monotone convergence for the integral and Fatou's lemma pass respectively to the total crossing count and to the limiting positive and negative parts.

[F3]

Both Q and RQ are dense in R, and every nonempty open subset of R is uncountable supplies a rational interval strictly between unequal finite liminf and limsup values.

[F4]

Finite and countable subadditivity of measures makes the intersection over rational pairs a full-measure event.

[F5]

The Axiom of Choice is inherited from F1's conditional-expectation construction; the rational family itself is explicitly countable.

Proof

1.1

Fix rationals a<b. By F1, (ba)EUN[a,b]E(XNa)+C+a. As UNU, F2 gives EU[a,b]<. Hence U[a,b]< almost surely.

F1F2
2.1

Intersect these probability-one events over the countable set {(a,b)Q2:a<b}. F4 makes the intersection have probability one. On it, if lim infXn<lim supXn, density supplies rationals a<b strictly between them; the path then completes infinitely many upcrossings of [a,b], contradicting step 1.1. Thus Xn has an extended-real limit.

F3F4step 1.1
3.1

The submartingale property gives EXnEX0. Therefore EXn=EXn+EXnCEX0. Fatou applied separately to Xn+ and Xn shows that neither + nor can occur on a positive-measure set and that EXC+(CEX0)<. Taking the limit on the full-measure event and defining it arbitrarily on its null complement yields the claimed finite integrable random variable. AC has only the inherited use in F5.

F2F5step 2.1

Depends on

Used by

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Sources