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.
Minimal polynomials of scalar and diagonal endomorphisms, including the zero-dimensional case
Example
The zero-dimensional endomorphism has minimal polynomial . On a nonzero space, the scalar endomorphism has minimal polynomial . A diagonal matrix whose distinct diagonal values are has minimal polynomial , regardless of repetitions on the diagonal.
Facts & Assumptions
Given: The endomorphisms described in the Example.
An annihilating polynomial is exactly a multiple of the minimal polynomial (The annihilator ideal is nonzero and has a unique monic generator; if and only if ).
A diagonalisable endomorphism has a minimal polynomial that is a product of distinct linear factors (An endomorphism is diagonalisable if and only if its minimal polynomial is a product of distinct linear factors).
Verification
On the zero space, , so annihilates and [L1] gives . On a nonzero space, , while no nonzero constant polynomial annihilates; hence .
For the diagonal matrix, a polynomial vanishes on the matrix exactly when it vanishes at every displayed diagonal value. The monic polynomial of least degree with those distinct roots is , agreeing with [L2].
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 39 results over 8 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Sheldon Axler, Linear Algebra Done Right, 4th ed., §5B (standard reference, not scraped)
- Anthony W. Knapp, Basic Algebra, 2nd ed., Ch. V, §3 (standard reference, not scraped)