12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

204 BifurcationseigenvaluesHopffoldeigenvaluesfold-Hopf bifurcationBogdanov-Takens bifurcationFigure 6.37: Two ways an equilibrium can undergo a saddle-node (fold) and anAndronov-Hopf bifurcations simultaneously.• (Fold-Hopf) The Jacobian matrix at the equilibrium has a pair of pure imag<strong>in</strong>arycomplex-conjugate eigenvalues (Andronov-Hopf bifurcation) and one zeroeigenvalue (saddle-node bifurcation). In this case the two bifurcations occur <strong>in</strong>different subspaces.• (Bogdanov-Takens) The Jacobian matrix has two zero eigenvalues.case the two bifurcations occur <strong>in</strong> the same subspace.In thisThe fold-Hopf bifurcations occurs <strong>in</strong> systems hav<strong>in</strong>g dimension 3 and up, while theBogdanov-Takens bifurcation can occur <strong>in</strong> two-dimensional systems. Both bifurcationshave codimension-2; that is, they require 2 bifurcation parameters. Notice thatfold-Hopf bifurcation has 3 eigenvalues with zero real part, whereas Bogdanov-Takensbifurcation has only 2 zero eigenvalues. This bifurcation can on the one hand be viewedas a saddle-node bifurcation <strong>in</strong> which another (negative) eigenvalue gets arbitrary closeto zero, and on the other hand as an Andronov-Hopf bifurcation <strong>in</strong> which imag<strong>in</strong>arypart of the complex-conjugate eigenvalues goes to zero.The Jacobian matrix of an equilibrium at the Bogdanov-Takens bifurcation satisfiestwo conditions: det L = 0 (saddle-node bifurcation) and tr L = 0 (Andronov-Hopfbifurcation). For example, it can have the formL =( 0 10 0). (6.10)Because of these two conditions, the codimension of this bifurcation is 2. There arealso certa<strong>in</strong> non-degeneracy and transversality conditions (see Kuznetsov 1995). Thecorrespond<strong>in</strong>g topological normal form,˙u = v ,˙v = a + bu + u 2 + σuv ,(6.11)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!