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A simple eigenpair has a regularity-matched gauge-fixed parameter branch
Statement
Let and let be a matrix path. Let be a simple eigenvalue of , and choose compatible left and right eigenvectors with . Then there are unique local functions such that There is also a unique local left eigenvector with Moreover, .
Facts & Assumptions
Given: , , , and the hypotheses in the Statement.
For a simple eigenvalue, left and right eigenvectors pair nontrivially and may be normalized by : compatible left and right eigenvectors for a simple eigenvalue can be normalized by .
The parametrized implicit function theorem with regularity: a equation with an invertible derivative in the solved variables has a unique local solution branch for every .
A simple eigenvalue and a gauge-fixed right eigenvector admit local branches in the underlying real matrix space: the simple eigenvalue and the same gauge-fixed eigenvector have unique local branches.
Along a differentiable matrix path, a simple eigenvalue satisfies under the normalization : along compatible branches normalized by , .
Proof
Given: The data and hypotheses in the Statement.
Regard complex vector spaces as real spaces of twice the dimension and define This is by the matrix path hypothesis. Its derivative in at sends to . If this derivative is zero, left multiplication of the first component by gives by [F1] and [F2]; then is in the eigenspace spanned by , and forces . Thus the derivative is injective and, its finite-dimensional domain and codomain having equal real dimension, invertible.
Apply [F3] to in the solved variables . It gives unique branches satisfying the eigenvalue equation, gauge, and base values. By uniqueness they agree with the branches in [F4].
Apply the same implicit-function construction as step 1.1 to at eigenvalue , with gauge . The same injectivity computation, with interchanged and conjugated, gives a unique left eigenvector branch ; its eigenvalue is by uniqueness of the simple local branch.
Set . It is and , so it stays nonzero after shrinking the interval. Define ; then and its eigenvector equation is unchanged. If is another such local branch, rescale it by , which is nonzero near zero and equals at zero. Then satisfies the fixed gauge and solves the same adjoint eigenpair equation, so IFT uniqueness from step 2.2 gives . The normalization then forces , hence .
Differentiate at zero and left-multiply by . The terms containing cancel by [F1], and by [F2], leaving , also the interface stated in [F5].
Depends on
- 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 parametrized implicit function theorem with $C^k$ regularity
- A simple eigenvalue and a gauge-fixed right eigenvector admit local $C^1$ branches in the underlying real matrix space
- Along a differentiable matrix path, a simple eigenvalue satisfies $\lambda'=y^*A'x$ under the normalization $y^*x=1$
Used by
- Validate a proof-carrying local Hopf certificate Algorithm
- 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
19 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)