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ZixuanZhang
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Phase Portrait

Phase portraits are solution trajectories in phase space; for autonomous systems there is one trajectory through each point of phase space, except at fixed points.

Definition 9.13 (Phase Portrait)
Phase portraits are solution trajectories in phase space.

Non-degenerate classification for $n = 2$

For the homogeneous system there is a fixed point at , and for with distinct non-zero eigenvalues the general solution is

The local portrait near the fixed point is determined by and :

  1. Real eigenvalues of opposite signs: can be chosen real, and the fixed point is a saddle node.

  2. Real eigenvalues of the same sign, say : both positive gives an unstable node; both negative gives a stable node.

  3. Complex conjugate eigenvalues with : writing ,

    so the trajectories spiral with radial factor . Then gives an unstable spiral, a stable spiral, and a centre with closed elliptical trajectories.

Sketching an overall portrait

Example 9.14 (Predator-Prey Model)

Consider a population of prey and predators with the equations

where are positive constants.

Consider a specific case with

The fixed points satisfy

There are three fixed points: , and .

We have

  • At , we have

    The eigenvalues are and , with eigenvectors and .

    Thus, it is a saddle point.

  • At , we have

    The eigenvalues are and , with eigenvectors and .

    Thus, it is a saddle point.

  • At , we have

    The eigenvalues are found by solving

    Since , the fixed point is a stable spiral.

    At , we have , so the motion is counter-clockwise.

Now, we can sketch the overall phase portrait.

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