Using Poincare Bendixson's Theorem to prove a periodic Orbit

In summary, using a trapping region and Poincare-Bendixson's theorem, we can show that there exists a periodic orbit in the given system.
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Homework Statement


The System is
[itex]x˙ = 2x -y - x(x^2+y^2)[/itex]
[itex]y˙ = 5x - 2y(x^2+y^2)[/itex]

Using a trapping region to show there is a periodic orbit

Homework Equations


Use Poincare Bendixson's Theroem

The Attempt at a Solution


I tried constructing 2 Lyapunov type functions to show that DV/dt>0 and DV/dt<0 which show that in one region the flow is going into one region while the other is going out of the region. I could show that there is a region where the flow goes in if I use [itex]V=x^2+(ay^2/2)[/itex] but I can't figure another function to use to show the flow leaves a subspace. Is there another way to attempt this question?
 
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I would suggest using Poincare-Bendixson's theorem to prove the existence of a periodic orbit in the given system.

According to Poincare-Bendixson's theorem, if a dynamical system has a trapping region and the vector field is continuous and non-zero within the region, then the system must exhibit a periodic orbit.

In this case, we can define the trapping region as the set of points where x^2 + y^2 < 1. This region is bounded and the vector field is continuous and non-zero within this region.

Next, we can show that the vector field is pointing inward at some points within the trapping region and outward at other points. This can be done by analyzing the sign of the derivatives of x˙ and y˙ with respect to x and y within the trapping region.

If we can show that there exists a point within the trapping region where the vector field is pointing inward and another point where it is pointing outward, then we can conclude that there must exist a periodic orbit within the trapping region.

Therefore, by using Poincare-Bendixson's theorem, we can prove the existence of a periodic orbit in the given system.
 

Related to Using Poincare Bendixson's Theorem to prove a periodic Orbit

1. What is Poincare Bendixson's Theorem?

Poincare Bendixson's Theorem is a mathematical theorem that states that a two-dimensional autonomous system of differential equations cannot have chaotic behavior. Instead, the solutions to the system will either converge to a stable equilibrium point or will form a periodic orbit.

2. How can Poincare Bendixson's Theorem be used to prove a periodic orbit?

To use Poincare Bendixson's Theorem to prove a periodic orbit, one must first show that the system of differential equations is autonomous and two-dimensional. Then, it must be shown that the system satisfies the criteria for the theorem, which includes the existence of a bounded region where the solutions are confined and the absence of any critical points within that region.

3. What are the advantages of using Poincare Bendixson's Theorem to prove a periodic orbit?

Using Poincare Bendixson's Theorem to prove a periodic orbit is advantageous because it provides a simple and powerful method for proving the existence of a periodic orbit in a two-dimensional autonomous system. It also guarantees that the system will not exhibit chaotic behavior, which can be difficult to analyze and understand.

4. Are there any limitations to using Poincare Bendixson's Theorem?

Yes, there are some limitations to using Poincare Bendixson's Theorem. It can only be applied to two-dimensional autonomous systems, and it requires the system to have a bounded region where the solutions are confined. Additionally, it cannot be used to prove the existence of chaotic behavior, as the theorem only guarantees the existence of a periodic orbit or a stable equilibrium point.

5. Can Poincare Bendixson's Theorem be used in real-world applications?

Yes, Poincare Bendixson's Theorem has been used in various real-world applications, such as in the study of population dynamics, chemical reactions, and electrical circuits. It provides a useful tool for analyzing and predicting the behavior of systems with two-dimensional autonomous differential equations.

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