arshak grigoryan project for math. modeling. predator-prey model (by odell) lets consider one of the...
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Predator-Prey model (By Odell)
Lets consider one of the variations of the Odell`s model
where x, y are population of the prey and predator respectively and a and b are positive control parameters.
)('
)(' 2
axyy
yxbxxx
Bifurcation
We are already familiar with the bifurcation in one dimensional systems. In this example we consider two dimensional system with two parameters a and b. And on this model I would like to present Hopf bifurcation.
Bifurcation
Definition. If the phase portrait changes its topological structure as parameters are varied, we say that a bifurcation has occurred. Examples include changes in the number or stability of fixed points, closed orbits or saddle connections as a parameter is varied.
Closed Orbit and Limit Cycle
Closed Orbit: If a phase point starting anywhere else would circulate around the origin and eventually return to its starting point.
Limit cycle: A limit cycle is an isolated closed trajectory. Isolated means that neighboring trajectories are not closed; they spiral either toward or away from the limit cycle.
Hopf Bifurcation
Suppose a two-dimensional system has a stable fixed point. How possibly it could lose stability as parameter vary? The eigenvalues of the Jacobean are the key.
If the fixed point is stable then eignevalues are negative.( or their real parts are negative in complex case). To destabilize the fixed point we need one or both of the eigenvalues to change their sign(s).
Predator-Prey
Now let's investigate our system.
Lets look at the equilibrium solutions of the system.
To find them we need solutions of the system
)('
)(' 2
axyy
yxbxxx
0)(
0)( 2
axy
yxbxx
Predator-Prey
After simple calculations we find out that fixed
points are the following.
1. (0,0)
2. (b,0)
3. (a, ab-a^2)
Predator-Prey
Now we will need Jacobean of the system in order to
analyze stability of equilibrium solutions.
axy
xyxbxJ
232
Predator-Prey
i) Solution at the origin.
analyzing the Jacobean we can see that this is
an unstable solution and that can be seen on
the graph.
a
J0
000,0
Equilibrium at (b,0)
ii) Thus eigenvalues are and .
We can see that first eigenvalue always negative and
when b<a second eigenvalue is negative also and for that
reason solution will be stable.
ab
bbJb
0
2
0,
2b ab
Last equilibrium soultion
And the Jacobean of the last equilibrium solution is
And conditions for stability are
Trace=
Det=
And
0
22
2
, 2
aab
aaabJ
aaba
22aab
)(2 aba
2
)(4)2()2( 222 abaabaaba
Last equilibrium solution
Now we clearly can see that change of the sign
of eigenvalues occur at b=2a and that is the
the point where Hopf bifurcation happens. So
the stability of the solution we need a<b<2a.
We can see all this on the graphs.