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.
Parenthesised tensor words of a fixed length are counted by the Catalan numbers
Statement
For , let be the number of parenthesised tensor words on the letters with no inserted unit symbol. Then and
Equivalently, , where the Catalan numbers are defined by and
Facts & Assumptions
Given: The recursive formation rule for parenthesised tensor words.
A parenthesised tensor word is either one letter or a composite built recursively, with the letters kept in order (Parenthesised tensor words and their evaluation functors).
Proof
For there is only the word , so .
If , every word has a unique outermost decomposition , where uses the first letters and uses the remaining letters for a unique with . Conversely, every such pair produces a word on letters.
Therefore the words on letters are partitioned by the value of , and for fixed there are choices. Summing over gives .
The recurrence in step 2.1 is exactly the Catalan recurrence after the index shift , and step 1.1 matches the initial value . Hence for all .
Depends on
Used by
Dependency tree · two levels
2 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
- P. Etingof, S. Gelaki, D. Nikshych, and V. Ostrik, Tensor Categories, Exercise 2.9.1 (standard reference, not scraped)