13 Bifurcations and Chaos
Models contain parameters: a harvest rate, a damping coefficient, a reaction rate, a forcing amplitude. As a parameter varies, the phase portrait usually changes only by small deformations, but at special values it changes qualitatively: equilibria appear or disappear, exchange stability, or give birth to periodic orbits. These changes are bifurcations, and they are where interesting behaviour begins: the collapse of the fishery in Example 1.6.2, the onset of oscillation in a chemical reaction, the buckling of a beam. This section classifies the basic local bifurcations, proves the condition for their occurrence, and ends with the most dramatic qualitative behaviour a smooth system can have, deterministic chaos, which is possible only in three or more dimensions.
13.2 Zero eigenvalue: saddle-node, transcritical and pitchfork
13.3 The Hopf bifurcation
13.4 Chaos in the Lorenz system
13.5 Bifurcations and chaos in software
13.6 Practice Problems
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