Nonlinear Dynamics: Nullclines and phase plane of a nonlinear system

Click For Summary
SUMMARY

The discussion focuses on analyzing the nonlinear system defined by the equations dx/dt = x(x-y) and dy/dt = y(2x-y). The fixed point identified is (0,0), and the Jacobian matrix at this point is J(0,0) = [[0, 0], [0, 0]], leading to eigenvalues λ1,2 = 0. This situation indicates that linearization fails to provide insight into the system's dynamics near the fixed point. The user suggests consulting "Differential Equations" by Blanchard, Hall, and Devaney and utilizing Mathematica for visualizing the vector field and nullclines.

PREREQUISITES
  • Understanding of nonlinear dynamics and fixed points
  • Familiarity with Jacobian matrices and eigenvalue analysis
  • Knowledge of nullclines and phase portraits
  • Experience with computational algebra systems (CAS) like Mathematica
NEXT STEPS
  • Study the implications of zero eigenvalues in nonlinear systems
  • Learn how to sketch phase portraits for nonlinear differential equations
  • Explore the use of Mathematica for visualizing vector fields and nullclines
  • Read "Differential Equations" by Blanchard, Hall, and Devaney for deeper insights
USEFUL FOR

Students and researchers in mathematics, particularly those studying nonlinear dynamics, differential equations, and phase plane analysis.

amk0713
Messages
12
Reaction score
0

Homework Statement



Find the fixed points and classify them using linear analysis. Then sketch the nullclines, the vector field, and a plausible phase portrait.

dx/dt = x(x-y), dy/dt = y(2x-y)

Homework Equations


The Attempt at a Solution



f1(x,y) = x(x-y)

x-nullcline: x(x-y) = 0 \Rightarrow x = 0

f2(x,y) = y(2x-y)

y-nullcline: y(2x-y) = 0 \Rightarrow y = 0

Fixed point: (0,0)

J(x,y) =

(2x-y -x )
(2y 2x-2y)

Therefore,

J(0,0) =

(0 0)
(0 0)

Thus,

0 = |J(0,0) - λI| = (-λ)(-λ) = λ2 = 0 \Rightarrow λ1,2 = 0
___________________________________________________________________

Now this is where I get stuck; I have no idea where to go from here when λ1 = λ2 = 0.

I would really appreciate at least a little nudge in the right direction. Thank you.
 
Physics news on Phys.org
There are some cases where linearization fails to capture the dynamics of a non-linear system near it's fixed points and I think one case is when the eigenvalues are zero. Need to check out a good reference like "Differential Equations" by Blanchard Hall and Devaney. Also, whenever working on these types of problems, in my opinion, it is essential to have a CAS like Mathematica to help you with it unless you like to suffer. Now unfortunately you can't use StreamPlot with Wolfram Alpha but if you could find a machine at school running Mathematica, you could very easily answer three of the questions with the code:

Show[{StreamPlot[{x^2 - x y, 2 x y - y^2}, {x, -1, 1}, {y, -1, 1}],
Plot[{x, 2 x}, {x, -1, 1}, PlotStyle -> Thickness[0.008]]}]

I don't know how to classify the fixed-point at the origin but if I had to say something, I would say it's some type of sink. Maybe someone else can help us further.
 

Attachments

  • phase portrait.jpg
    phase portrait.jpg
    36.2 KB · Views: 968
Last edited:

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
Replies
2
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
2
Views
7K