Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generated
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.

The pencil determinant is homogeneous and its zero condition is scale invariant

Statement

For A,B∈Fn×n, n≥1, let p(α,β)=det⁡(βA−αB). For every c∈C, p(cα,cβ)=cnp(α,β). Consequently the zero condition is independent of the nonzero representative of a homogeneous pair. If β≠0, then p(α,β)=βndet⁡(A−(α/β)B).

Facts & Assumptions

Given: n≥1, A,B∈Fn×n, and (α,β)∈C2.

[F1]

Regular matrix pencils and homogeneous generalized eigenvalues: p(α,β) is det⁡(βA−αB), and homogeneous pairs are identified by nonzero complex scaling.

Proof

1.1givenF1F2algebra

Scaling (α,β) by c scales every column of βA−αB by c. Applying [F2] to its n columns gives det⁡(c(βA−αB))=cndet⁡(βA−αB), which is the first identity by [F1].

2.1step 1.1F1F2algebra∎

If c≠0, then cn≠0, so p(cα,cβ)=0 exactly when p(α,β)=0. If β≠0, factor βA−αB=β(A−(α/β)B) and apply the same column multilinearity to obtain the finite-eigenvalue identity.

Depends on

Used by

Dependency tree · two levels

7 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