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.
Hopf spectral and multilinear normal-form data
Definition
Let be a real vector field on an open subset of , and suppose . Put . Assume has a simple pair of eigenvalues and , where , and no other eigenvalue on the imaginary axis. Let be the complexification of . Choose with
Here is the standard Hermitian product. To obtain both normalizations, start with nonzero compatible eigenvectors and put . Simplicity gives by For a simple eigenvalue, left and right eigenvectors pair nontrivially and may be normalized by . Set ; then and , while both eigenvector equations are preserved. Write and for the symmetric real multilinear derivatives, extended complex multilinearly. Since zero and are not eigenvalues of , define
and define the first Lyapunov coefficient in this normalization by
If is rescaled to and the unit-norm condition is dropped while is preserved, then rescales by ; under the declared condition , the remaining phase freedom leaves unchanged. Its sign is the local cubic radial sign. The definition alone is not a bifurcation theorem.
For an equilibrium at arbitrary , apply this definition to the translated field at . Thus , and , and refer to that same . Translation preserves these spatial derivatives and their Euclidean normalization. If the equilibrium is continued as , the further state change at each fixed parameter gives ; because , no extra time-derivative term appears. Spatial jets at the critical parameter are still the same .
Depends on
- Eigenvalues, eigenvectors, eigenspaces $E_\lambda(T)=\ker(T-\lambda I)$, and the spectrum $\sigma_F(T)$ of an endomorphism
- Compatible left and right eigenvectors for a simple eigenvalue
- For a simple eigenvalue, left and right eigenvectors pair nontrivially and may be normalized by $y^*x=1$
- $C^k$ Euclidean maps and diffeomorphisms
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
Used by
- Validate a proof-carrying local Hopf certificate Algorithm
- A subcritical planar cubic Hopf bifurcation Example
- A supercritical planar cubic Hopf bifurcation Example
- An imaginary eigenvalue crossing with zero Lyapunov coefficient Example
- An interval containing zero makes a Hopf certificate inconclusive Example
- A parameterized C5 center manifold exists at a simple Hopf spectral split Lemma
- The first Lyapunov coefficient is the frequency-normalized radial cubic Hopf coefficient Lemma
- A certified interval Hopf record verifies only the local Hopf hypotheses Theorem
- A simple nondegenerate Hopf point creates a local periodic branch Theorem
Dependency tree · two levels
18 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
- Yuri A. Kuznetsov, Elements of Applied Bifurcation Theory, 2nd ed., Springer (standard reference, not scraped)
- J. E. Marsden and M. McCracken, The Hopf Bifurcation and Its Applications, Springer-Verlag, 1976 (standard reference, not scraped)
- Yuri A. Kuznetsov, Andronov-Hopf Bifurcation, Scholarpedia 1(10):1858 (2006) (standard reference, not scraped)