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.
If splits over , every eigenvalue of is
Statement
Let be a finite-dimensional endomorphism whose characteristic polynomial splits over . Every eigenvalue of is .
Facts & Assumptions
Given: A finite-dimensional endomorphism for which splits over .
The eigenvalues of an operator are exactly the roots of its characteristic polynomial (For every finite-dimensional space, is exactly the set of roots in of ).
Proof
If , the spectrum of every endomorphism is empty, so the assertion is vacuous; [L2] also gives the correct empty factorization.
Otherwise write . Each is a root, so . Applying [L1] with gives .
By [L3], the only possible root, and hence the only possible eigenvalue, is . Together with step 1.1 this proves the claim.
Depends on
- If $\chi_T(x)=\prod_{i<n}(x-\lambda_i)$ in $F[x]$, then $\chi_{p(T)}(y)=\prod_{i<n}(y-p(\lambda_i))$ for every $p\in F[x]$: the eigenvalues of $p(T)$ are $p(\lambda_i)$, counted with algebraic multiplicity
- The basis-independent characteristic polynomial $\chi_T$ of an endomorphism of a finite-dimensional space, including $\chi_T=1$ in dimension zero
- For every finite-dimensional space, $\sigma_F(T)$ is exactly the set of roots in $F$ of $\chi_T$
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: 70 results over 16 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
- H. Pinkham, Linear Algebra, §12.3.4 (standard reference, not scraped)