Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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.

An imaginary eigenvalue crossing with zero Lyapunov coefficient

Example

Consider the linear system x˙=μx−y,y˙=x+μy. The eigenvalues cross the imaginary axis transversely, but there is no isolated small cycle branch for nonzero μ.

Facts & Assumptions

Given: The linear system in the Example and the eigenvector normalization q∗q=p∗q=1.

[F1]

Hopf spectral and multilinear normal-form data: the first Lyapunov coefficient is computed from the second and third derivatives by the displayed formula.

Verification

1.1givenalgebra

Its Jacobian is [μ−11μ], with eigenvalues μ±i, so β′(0)=1. The vector field is linear; therefore B=0 and C=0.

2.1F1step 1.1algebra

By [F1], G21=0 and ℓ1=0. The nondegeneracy hypothesis of the generic Hopf theorem is therefore absent even though the eigenvalue crossing is transverse.

3.1step 1.1algebra∎

In polar coordinates R˙=μR and θ˙=1. If μ≠0, every nonzero radius changes strictly exponentially and cannot be periodic; if μ=0, every circle R>0 is periodic, so there is no isolated branch selected by crossing.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

6 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