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.
Minimum, maximum, and bounded shifts of stopping times
Statement
If are stopping times, then and are stopping times. If , then is a stopping time for , with . More generally, if is stopping for , then is stopping for . The earlier shift is stopping for but need not be stopping for . Finally, for every deterministic , is a bounded stopping time.
Facts & Assumptions
Given: The hypotheses, objects, and conventions in the Statement.
Discrete stopping time supplies the finite-horizon test.
Equivalent event tests for a discrete stopping time supplies the complementary tests.
Proof
The identities prove the first two claims by F1.
If , ; if , it is . If is stopping for , the same event is in .
For the earlier shift, so it is stopping for the shifted filtration. The right side need not lie in , which is why no unshifted assertion is made.
A deterministic is a stopping time, so step 1.1 makes a stopping time, and it is bounded by . All empty and infinite-value cases follow from the displayed identities.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
5 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Durrett, Probability: Theory and Examples, 5th ed., §4.4 (standard reference, not scraped)