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.
For an matrix ,
Statement
For ,
Facts & Assumptions
Given: The linear map , .
Matrix rank equals the rank of (The rank of a matrix equals the rank of the linear map ).
Rank–nullity gives for a linear map with finite-dimensional domain (Rank-nullity: ).
Proof
Apply rank–nullity to to obtain .
By [L1] the first term is , and by [L3] the kernel is . Substitution proves the formula, including .
Depends on
Used by
- Sample covariance is singular when dimension exceeds sample size Example
- A negative-real-part shift of a Hurwitz matrix is invertible Lemma
- A square matrix with zero determinant has a nonzero kernel vector Lemma
- Deleted-row minors of a zero-column-sum matrix agree up to sign Lemma
- Graham–Pollak: a complete bipartite decomposition of Kₙ has at least n-1 parts Theorem
- Invertible matrix theorem: invertibility, full pivot rank, RREF I, trivial nullspace and unique solvability are equivalent Theorem
Dependency tree · two levels
17 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
- D. Margalit and J. Rabinoff, Interactive Linear Algebra, §2.9 (standard reference, not scraped)