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Most commonly used in the Mathematical study of Dynamical Systems , a bifurcation occurs when a small smooth change made to the parameter values (the bifurcation parameters) of a system causes a sudden 'qualitative' or Topological change in its long-term dynamical behaviour. Bifurcations occur in both continuous systems (described by ODE s, DDE s or PDEs ), and discrete systems (described by maps).


TYPES OF BIFURCATION


It is useful to divide bifurcations into two principal classes:
  • Local bifurcations, which can be analysed entirely through changes in the local stability properties of Equilibria , periodic orbits or other invariant sets as parameters cross through critical thresholds; and

  • Global bifurcations, which often occur when larger invariant sets of the system 'collide' with each other, or with equilibria of the system. They cannot be detected purely by a stability analysis of the equilibria (fixed points).



Local bifurcations


A local bifurcation occurs when a parameter change causes the stability of an equilibrium (or fixed point) to change. In continuous systems, this corresponds to the real part of an eigenvalue of an equilibrium passing through zero. In discrete systems (those described by maps rather than ODEs), this corresponds to a fixed point having a Floquet Multiplier with modulus equal to one. In both cases, the equilibrium is ''non-hyperbolic'' at the bifurcation point.
The topological changes in the phase portrait of the system can be confined to arbitrarily small neighbourhoods of the bifurcating fixed points by moving the bifurcation parameter close to the bifurcation point (hence 'local').

More technically, consider the continuous dynamical system described by the ODE
:\dot x=f(x,\lambda)\quad f:\mathbb{R}^n imes\mathbb{R} ightarrow\mathbb{R}^n.
A local bifurcation occurs at (x_0,\lambda_0) if the matrix
extrm{d}f_{x_0,\lambda_0}
has an Eigenvalue with zero real part. If the eigenvalue is equal to zero, the bifurcation is a ''steady state'' bifurcation, if the eigenvalue is non-zero but purely imaginary, this is a ''Hopf'' bifurcation.

For discrete dynamical systems, consider the system
:x_{n+1}=f(x_n,\lambda)\,.
Then a local bifurcation occurs at (x_0,\lambda_0) if the matrix
extrm{d}f_{x_0,\lambda_0}
has an eigenvalue with modulus equal to one. If the eigenvalue is equal to one, the bifurcation is either a saddle-node (often called fold bifurcation in maps), transcritical or pitchfork bifurcation. If the eigenvalue is equal to -1, it is a period-doubling (or flip) bifurcation, and otherwise, it is a Hopf bifurcation.

Examples of local bifurcations include:



Global bifurcations


Global bifurcations occur when 'larger' invariant sets, such as periodic orbits, collide with equilibria. This causes changes in the topology of the trajectories in the phase space which cannot be confined to a small neighbourhood, as is the case with local bifurcations. In fact, the changes in topology extend out to an arbitrarily large distance (hence 'global').

Examples of global bifurcations include:


Global bifurcations can also involve more complicated sets such as chaotic attractors.


CODIMENSION OF A BIFURCATION


The codimension of a bifurcation is the number of parameters which must be varied for the bifurcation to occur. This corresponds to the codimension of the parameter set for which the bifurcation occurs within the full space of parameters. Saddle-node bifurcations are the only generic local bifurcations which are really codimension-one (the others all having higher codimension). However, often transcritical and pitchfork bifurcations are also often thought of as codimension-one, because the normal forms can be written with only one parameter.

An example of a well-studied codimension-two bifurcation is the Bogdanov-Takens Bifurcation .


SEE ALSO




REFERENCES