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.
Exact-k partition recurrence
Statement
For every integer and every integer ,
Facts & Assumptions
Given: an integer and an integer .
The quantity counts partitions of into exactly positive parts, and it is defined to be when or (The functions p(n), p_k(n), and the standard restricted partition families).
Proof
A partition of into exactly positive parts either contains a part equal to or has every part at least . These two cases are disjoint and exhaustive.
In the first case, delete one part equal to . The remaining parts still form a partition, now of , and they are exactly positive parts. Conversely, adjoining one part equal to to any partition of into positive parts gives a partition of into positive parts containing a . So the first case contributes .
In the second case, subtract from each of the parts. Because each part was at least , the result is a partition of into exactly positive parts. Conversely, adding to each part of any partition of into positive parts recovers a partition of into parts all at least . So the second case contributes . If , then [F1] makes this contribution , exactly as it should.
The two disjoint cases of steps 2.1 and 2.2 cover every partition counted by , so their cardinalities add to . This is the stated recurrence.
Depends on
Used by
- The recurrence gives p₃(5)=2 Example
- FALSE: pₖ(n) is counted by C(n-1, k-1) False statement
Dependency tree · two levels
3 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
- Darij Grinberg, Enumerative Combinatorics: class notes (standard reference, not scraped)