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.
Independent events need not be disjoint
Example
On the uniform space , let Then and are independent, but they are not disjoint because .
Facts & Assumptions
Given: The uniform four-point space and the events displayed above.
In a uniform finite space, event probability is cardinality divided by the total number of outcomes. (The uniform probability space on a nonempty finite set)
Two events are independent exactly when . (Independent events, pairwise independence, and mutual independence of a finite family)
Verification
By [L1], the events and each have probability , while has probability .
Step 1.1 gives so [L2] shows that and are independent. Since , they are not disjoint.
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.