1. Not finding help here? Sign up for a free 30min tutor trial with Chegg Tutors
    Dismiss Notice
Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Bifurcations and Chaos - Complex eigenvalues

  1. Mar 22, 2012 #1
    1. The problem statement, all variables and given/known data
    Identify the stable, unstable and center eigenspaces for

    [itex]\dot{y}[/itex] = the 3x3 matrix
    row 1: 0, -3, 0
    row 2: 3, 0, 0
    row 3: 0, 0, 1


    2. Relevant equations



    3. The attempt at a solution
    This is an example used from the lecture and I understand how to get the eigenvalues
    λ1,2 = ±3i and λ3 = 1.

    However, I do not see how to find EC?

    I understand how EU = the vector (0, 0, 1)
    But I do not see how to find EC = {(1, 0, 0) and (0, 1, 0)}

    Can anyone explain this for me?
     
    Last edited: Mar 22, 2012
  2. jcsd
  3. Mar 22, 2012 #2

    tiny-tim

    User Avatar
    Science Advisor
    Homework Helper

    Hi Rubik! :smile:

    http://en.wikipedia.org/wiki/Center_manifold is very clear on this :smile:, so i'll just quote it (with highlights) …​

    In mathematics, the center manifold of an equilibrium point of a dynamical system consists of orbits whose behavior around the equilibrium point is not controlled by either the attraction of the stable manifold or the repulsion of the unstable manifold. The first step when studying equilibrium points of dynamical systems is to linearize the system.

    The eigenvectors corresponding to eigenvalues with negative real part form the stable eigenspace, which gives rise to the stable manifold. The stable manifold attracts orbits close to it.

    Similarly, eigenvalues with positive real part yield the unstable manifold, which repels orbits close to it.

    This concludes the story if the equilibrium point is hyperbolic (i.e., all eigenvalues of the linearization have nonzero real part). However, if there are eigenvalues whose real part is zero, then these give rise to the center manifold.

    The behavior near the center manifold is not determined by the linearization and thus more difficult to study.

    Center manifolds play an important role in bifurcation theory because the interesting behavior takes place on the center manifold.
     
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook




Similar Discussions: Bifurcations and Chaos - Complex eigenvalues
  1. Eigenvalues ? (Replies: 5)

  2. Bifurcation Diagrams (Replies: 1)

  3. Bifurcations in maps (Replies: 0)

  4. Bifurcation question (Replies: 2)

Loading...