Simple Hopf point

At a Hopf branch point $(x_0,p_0)$ for the problem $F(x,p)=0$, the spectrum of the linear operator $dF(x_0,p_0)$ contains two purely imaginary eigenvalues $\pm i\omega,\ \omega > 0$ which are simple. At such a point, we can compute the normal form to transform the problem

\[\dot x = \mathbf{F}(x;p)\]

in large dimensions to a complex polynomial vector field ($\delta p\equiv p-p_0$):

\[\dot z = z\left(a \cdot\delta p + i\omega + l_1|z|^2\right)\quad\text{(E)}\]

whose solutions give access to the solutions of the Cauchy problem in a neighborhood of $(x,p)$.

Coefficient $l_1$

The coefficient $l_1$ above is called the Lyapunov coefficient.

Differential-algebraic problems

For a problem with a mass matrix (a GridapBifProblem), the Hopf point is characterized by a pair of purely imaginary eigenvalues of the pencil $(dF, M)$, see Mass matrix.

Normal form computation

The normal form (E) is automatically computed as follows

get_normal_form(br::ContResult, ind_bif::Int ;	verbose = false, ζs = nothing, lens = br.param_lens)

where br is a branch computed after a call to continuation with detection of bifurcation points enabled and ind_bif is the index of the bifurcation point on the branch br. The above call returns a point with information needed to compute the bifurcated branch. For more information about the optional parameters, we refer to get_normal_form.

Note

You should not need to call get_normal_form except if you need the full information about the branch point.

See also

References

  • Haragus

    Haragus, Mariana, and Gérard Iooss. Local Bifurcations, Center Manifolds, and Normal Forms in Infinite-Dimensional Dynamical Systems. London: Springer London, 2011. https://doi.org/10.1007/978-0-85729-112-7.