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DefinitionDefinition: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-22
How statement and proof provenance work

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.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Continuous-time stopping times and stopped sigma-algebras

Definition

Let (Ω,F,P) be a probability space and let (Ft)t0 be a continuous-time filtration Continuous-time filtrations and all-pairs martingales.

  1. A map τ:Ω[0,] (infinite values allowed) is a stopping time for (Ft) when {τt}Ftfor every t0.
  2. For a stopping time τ its stopped sigma-algebra is Fτ:={AF:A{τt}Ft for every t0}.

The following facts are used below, and each is a direct set computation.

(a) Fτ is a sigma-algebra: {τt}=Ft; for AFτ one has Ac{τt}={τt}(A{τt})Ft; and for a sequence AnFτ the union satisfies (nAn){τt}=n(An{τt})Ft. All operations are literal, not modulo null sets, and no completeness of the filtration is assumed. (b) If τt0< is deterministic, then A{τt} is A for tt0 and for t<t0, so Fτ=tt0Ft=Ft0, where the last equality follows because the intersection includes its least member Ft0. If τ, then every test event {τt} is empty and Fτ=F. (c) Suppose the filtration is right-continuous. Then τ is a stopping time if and only if {τ<t}Ft for every t>0. Indeed {τ<t}=n1{τt1n} (with the terms for t1n<0 read as the empty set, since τ0), which gives the forward implication; conversely {τt}=n1{τ<t+1n}, and nFt+1/n=s>tFs=Ft by right-continuity together with monotonicity of the filtration. (d) Under the same right-continuity assumption, for AF one has AFτ if and only if A{τ<t}Ft for every t>0: the forward implication follows from A{τ<t}=n(A{τt1n}) and the converse from A{τt}=n(A{τ<t+1n}) together with nFt+1/n=Ft.

Because the two versions of each test are interchangeable exactly when the filtration is right-continuous, the convention is recorded here once: the Brownian strong Markov theorem is stated for the usual augmentation, which is right-continuous, and the raw-filtration statements use the non-strict test directly. No choice principle is used by this definition.

Source notes

Durrett, Section 7.3, and Sousi, Section 6.4, define stopping times by {τt}Ft and record the strict-test form for right-continuous filtrations. The stopped sigma-algebra convention is fixed here because the strong Markov theorem and the dyadic ceiling argument both consume the containment FτFτn for τnτ.

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