Solving an autonomous system finding critical points

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SUMMARY

The discussion focuses on finding critical points and deriving the linearized system for the autonomous system defined by the equations \(\dot{y} = [3y_1 + y_1y_2; y_1 + y_2 - y_2^2]\). The critical point identified is (12, -3), with parameters p = -3, q = -12, and \(\Delta = 57\). The nature of the critical point is determined by analyzing the linearized system around this point, confirming its stability through the values of p, q, and \(\Delta\). The method involves expanding around the critical point and retaining linear terms.

PREREQUISITES
  • Understanding of autonomous systems in differential equations
  • Familiarity with linearization techniques in dynamical systems
  • Knowledge of stability criteria for critical points
  • Ability to solve quadratic equations
NEXT STEPS
  • Study the method of linearization in dynamical systems
  • Learn about stability analysis of critical points in nonlinear systems
  • Explore the implications of the Jacobian matrix in determining stability
  • Investigate the role of eigenvalues in analyzing the behavior near critical points
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Students and researchers in mathematics, particularly those focusing on differential equations and dynamical systems, as well as engineers working on stability analysis in control systems.

Rubik
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Homework Statement



Find all critical points and derive the linearised system about each critical point

[itex]\dot{y}[/itex] = [3y1 + y1y2; y1 + y2 - y22]

Homework Equations





The Attempt at a Solution



Setting

0 = 3y1 + y1y2 so y2 = -3
0 = y1 + y2 - y22 so y1 = 12

= [0, 1; 12, -3]
so p = -3 (<0)
q = -12 (<0)
[itex]\Delta[/itex] = 57 (>0)

Is this right that my only critical point is (12,-3) and is that how I determine the nature of the critical point and whether my critical point is stable or unstable with my values for p, q and [itex]\Delta[/itex]?
 
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You have quadratic equations, so there are more solutions, and so more critical points.

The nature of the critical points can be determined by studying the linearized systems asked for in the problem. Around a critical point [itex](y_1^{(c)},y_2^{(c)})[/itex], expand

[itex]y_1 = y_1^{(c)} + \epsilon_1,~~y_2=y_2^{(c)}+\epsilon_2,[/itex]

and keep the terms linear in [itex]\epsilon_{1,2}[/itex] (and derivatives). Solving the linear system tells you how the complete solution must behave in the neighborhood of the critical points.
Perhaps your [itex]p,q,\Delta[/itex] are somehow relevant to the linear system but you haven't explained how they're defined.
 
Rubik said:

Homework Statement



Find all critical points and derive the linearised system about each critical point

[itex]\dot{y}[/itex] = [3y1 + y1y2; y1 + y2 - y22]

Homework Equations





The Attempt at a Solution



Setting

0 = 3y1 + y1y2 so y2 = -3
Either y2= -3 or y1= 0.

0 = y1 + y2 - y22 so y1 = 12
If y2= -3, then y1= 12, but if y1= 0, then y2- y22= 0.

= [0, 1; 12, -3]
so p = -3 (<0)
q = -12 (<0)
[itex]\Delta[/itex] = 57 (>0)

Is this right that my only critical point is (12,-3) and is that how I determine the nature of the critical point and whether my critical point is stable or unstable with my values for p, q and [itex]\Delta[/itex]?
 

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