# Kliah Soto Jorge Munoz Francisco Hernandez. and.

## Presentation on theme: "Kliah Soto Jorge Munoz Francisco Hernandez. and."— Presentation transcript:

Kliah Soto Jorge Munoz Francisco Hernandez

and

 Solve the system of equations:

 Solution curve with all parameters = 1 Pink: prey x Blue: predator y

 Case 1: if z=0 then we have the 2 dimensional case  Case 2: y=0

In the absence of the middle predator y, we are left with: We combine it to one fraction and use separation of variables: species z approaches zero as t goes to infinity, and species x exponentially grows as t approaches infinity.

Phase Portrait and Solution Curve when y=0  The blue curve represents the prey, while the red curve represents the predator.

 Case 3: x=0

In the absence of the prey x, we are left with: We combine it to one fraction and use separation of variables: species y and z will approach zero as t approaches infinity.

Phase Portrait and Solution Curve when x=0  The blue curve represents the top predator, while the red curve represents the middle predator.

 Set all three equations equal to zero to determine the equilibria of the system:

 When x=0:  Either y=0 or z=-c/e  z has to be positive so we conclude that y=0 making the last equation z=0.  Equilibrium at (0,0,0)  When y=0  System reduces to: x=0 and y=0 since a and f are positive. Again equilibrium (0,0,0).

When we consider: Either z= 0 or –f+gy =0. Taking the first case will result in the trivial solution again as well as the equilibrium from the two dimensional case. (c/d,a/b,0) Using parameterization we set x=s and the last equilibrium is: Equilibrium point at (s,a/b=f/g,(ds-c)/e)

Linearize the System by finding the Jacobian Where the partial derivatives are evaluated at the equilibrium point

Center Manifold Theorem  Real part of the eigenvalues ◦ Positive: Unstable ◦ Negative: Stable ◦ Zero: Center  Number of eigenvalues: ◦ Dimension of the manifold  Manifold is tangent to the eigenspace spanned by the eigenvectors of their corresponding eigenvalues

Equilibrium at (0,0,0)  One-dimensional unstable manifold: curve  x-axis  Two-dimensional stable manifold: surface  yz- Plane  Eigenvalues: ◦ a, -c, -f  Eigenvectors:  {1,0,0}, {0,1,0}, {0,0,1}

Solution:  Unstable x-axis  Stable yz-Plane

Equilibrium at (c/d, a/b, 0)  Eigenvalues  Eigenvectors:

 One-Dimensional invariant curve: ◦ Stable if gafb  Two-Dimensional center manifold  Three-dimensional center manifold ◦ If ga=fb

Stable Equilibrium ga { "@context": "http://schema.org", "@type": "ImageObject", "contentUrl": "http://images.slideplayer.com/14/4328537/slides/slide_23.jpg", "name": "Stable Equilibrium ga

a=1.2, b=c=d=e=f=g=1 Unstable Equilibrium ga>fb Blue represents the prey. Yellow is the middle predator Pink is the top predator (2,2,2)

Blue represents the prey. Pink is the middle predator Yellow is the top predator Three Dimensional Manifold ga=fb  All parameters 1 initial condition (1,2,4)

Conclusion  The only parameters that have an effect on the top predator are a, g, f and b. ◦ Large values of a and g are beneficial while large values of f and b represent extinction.  The parameters that affect the middle predator are c, d and e. They do not affect the survival of z.  The survival of the middle predator is guaranteed as long as the prey is present.  The top predator is the only one tha faces extinction when all species are present. Eigenvalues for (c/d, a/b,0)