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.
Computing the length of
Example
Let be a discrete valuation ring with uniformiser . Then is a composition series, so .
Facts & Assumptions
Given: A discrete valuation ring , a uniformiser , and an integer .
A uniformiser generates the maximal ideal of a DVR (Uniformising parameters).
In a DVR one has (Length and valuation in a DVR).
Verification
Each successive quotient in the displayed filtration is generated by the class of , so multiplication by identifies it with . Thus every factor has length .
Adding the successive factors recovers the quotient , and [L1] confirms that the total length is exactly .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 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
- J. S. Milne, A Primer of Commutative Algebra, v4.03, Discrete valuation rings after Example 20.1 (standard reference, not scraped)