Nonlinear Dynamics and Chaos
Nonlinear Dynamics and Chaos
2nd Edition
ISBN: 9780813349107
Author: Steven H. Strogatz
Publisher: PERSEUS D
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Chapter 7.2, Problem 15E
Interpretation Introduction

Interpretation:

For the system equation x˙ = x(2 - x - y) and y˙ = y(4x - x2- 3), with no closed orbits, find the fixed points and classify them. Also sketch the phase portrait.

Concept Introduction:

  • Determine the Jacobian matrix for system equation and fixed points.

  • Identify the stability using Eigen values.

  • Sketch the phase portrait.

Expert Solution & Answer
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Answer to Problem 15E

Solution:

  1. The fixed points are (x,y) = (0,0)(1,1)(2,0)and(3,-1) and (3,-1). The point (x,y) = (0,0) is a saddle point, (x,y) = (1,1) is a stable spiral, the point (x,y) = (2,0) is a saddle point and (x,y) = (3,-1) is a stable spiral.

  2. The phase portrait of the given system equation is shown.

Explanation of Solution

In the linear system the determination of the matrix A is defined by Δ. If det (A) is positive so the Eigen values are real and have opposite signs and the fixed point is a saddle point.

Here, x is the position coordinate. Position is the function of time hence

x˙dxdt

  1. Consider the given system equations

    x˙ = x(2 - x - y)

    y˙ = y(4x - x2- 3)

    which has no closed orbits in the region. Now we will determine the fixed points of the given linear system by using the Jacobian matrix A and it’s determinant.

    The Jacobian matrix form of the linear system is,

    A = (dx˙dxdx˙dydy˙dxdy˙dy)

    Now using x˙ and y˙ equations, the values are,

    A = (dx˙dxdx˙dydy˙dxdy˙dy)

    A = (d(x(2 - x - y))dxd(x(2 - x - y))dyd(y(4x - x2- 3))dxd(y(4x - x2- 3))dy)

    A = ((2 - 2x - y)-xy(4 - 2x)(4x - x2- 3))

    So the matrix form of the given linear system is,

    A = (2 - 2x - y-xy(4 - 2x)4x - x2- 3)

    Let the first derivative of the linear system be equal to zero, so the fixed values are determined as; Determinant of matrix A and it’s determinant

    dx˙dx = 0, dx˙dy = 0

    So,

    2 - 2x - y = 0

    -x = 0

    Similarly, dy˙dx = 0, dy˙dy = 0

    y(4 - 2x) = 0

    x = 2

    y = 0

    And,

    4x - x2- 3 = 0

    x = 1, 3

    Since the values are x = 1, 3 and x = 2 at y = 0 if the value y = 0 put in the linear system x˙ = x(2 - x - y) at x˙ = 0 so the values are x = 0 and x = 2. Further at x = 1 put in x˙ = x(2 - x - y) at x˙ = 0 so the value is y = 1 and at x = 3 the value is x = -1.

    Hence, the fixed points are (x,y) = (0,0)(1,1)(2,0)and(3,-1) and (3,-1).

    Now the Eigen values at (x,y) = (0,0) are,

    A(0,0) = (200-3)

    |A - λI| = 0

    |2 - λ 00-3 - λ| = 0

    (-3 - λ)(2 - λ)= 0

    λ = 2, -3

    This Eigen value is a saddle point.

    Again the Eigen value at (x,y) = (1,1) are;

    A(1,1) = (-1-120)

    |A - λI| = 0

    |-1 - λ 12- λ| = 0

    λ(λ + 1) + 2 = 0

    λ2 + λ + 2 = 0

    Take the roots of the quadratic equation,

    λ1,2 = 1±182

    λ1,2 = -1 ± i72

    This Eigen value is a stable spiral.

    And the Eigen value at (x,y) = (2,0) are;

    A(2,0) = (-2-201)

    |A - λI| = 0

    |-2- λ-201-λ| = 0

    (-2- λ)(1-λ)= 0

    λ = 1,-2

    This Eigen value is a saddle point.

    And the Eigen values at (x,y) = (3,-1) are;

    A(3,-1) = (-3-320)

    |A - λI| = 0

    |-3- λ-32| = 0

    λ(λ + 3) + 6 = 0

    Taking the roots of the quadratic equation is,

    λ2 + 3λ + 6 = 0

    λ1,2 = 3±9242

    λ1,2 = -3 ± i152

    Therefore the Eigen value is a stable spiral.

  2. Now sketch the phase portrait of the given linear system equation is as given below.

    Nonlinear Dynamics and Chaos, Chapter 7.2, Problem 15E

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