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 commuting diagonal and nilpotent parts of a split Jordan matrix
Example
Over any field, put . Then Thus , the operator is diagonal, , and .
Facts & Assumptions
Given: The displayed block diagonal operator .
For a split minimal polynomial, the primary projections are polynomials in the endomorphism (Each projection in the primary decomposition is a polynomial in the endomorphism).
On each generalised eigenspace, the operator is the eigenvalue scalar plus a nilpotent operator (Split characteristic polynomials decompose into generalised eigenspaces of the algebraic multiplicities).
Verification
For , one has and , ; evaluating on the two size-two blocks therefore gives and . These identities remain valid in characteristics and by direct reduction.
Hence is the scalar part on the two generalised eigenspaces, while is the direct sum of their nilpotent parts as in [L2].
The displayed blocks give and ; commutation also follows because both and are polynomials in .
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: 36 results over 9 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.