Nonlinear Dynamics and Chaos
Nonlinear Dynamics and Chaos
2nd Edition
ISBN: 9780813349107
Author: Steven H. Strogatz
Publisher: PERSEUS D
Question
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Chapter 6.4, Problem 7E
Interpretation Introduction

Interpretation:

Determine the stability of the fixed point at the origin and find is there any other fixed points for the system. Depending on other parameters sketch the qualitatively different types of phase portrait.

Concept Introduction:

The parametric curves traced by solutions of a differential equation are known as trajectories.

The geometrical representation of collection of trajectories in a phase plane is called as phase portrait.

The point which satisfies the condition f(x*)=0 is known as fixed point, it correspond to steady state of the system (or equilibria of the system).

Closed Orbit corresponds to periodic solution of the system i.e. x(t+T)= x(t) for all t.

If nearby trajectories moving away from the fixed point then the point is said to be saddle point.

If the trajectories swirling around the fixed point, then it is an unstable fixed point.

If nearby trajectories moving away from the fixed point, then the point is said to be unstable fixed point.

If nearby trajectories moving towards the fixed point, then the point is said to be stable fixed point.

To check the stability of fixed point use Jacobian matrix

(x˙xx˙yy˙xy˙y)

The point (x*,y*) is said to be a stable fixed point if eigenvalues of Jacobian matrix evaluated at this point having negative real parts and point is said to be unstable if one of its eigenvalue has positive real part. If the both eigenvalues are purely real, then the fixed point is saddle point.

Expert Solution & Answer
Check Mark

Answer to Problem 7E

Solution:

The stability of the origin depends upon the values of the various parameters.

The other fixed points for the system are (0 ,G2N0 - K2G2α2) and (G1N0K1G1α1,0)

The different qualitatively phase portrait are shown below.

Explanation of Solution

a)

The given system equations are

n˙1= G1(N0- α1n1- α2n2)n1-K1n1

n˙2= G2(N0- α1n1- α2n2)n2-K2n2

Fordetermining the stability of fixed point n1*= n2*= 0, i.e. at the origin.

Use the Jacobian matrix

The expression of the Jacobian matrix is

J = (dn˙1dn1dn˙1dn2dn˙2dn1dn˙2dn2)

Substitute the expressions of n˙1 and n˙2 in the above Jacobian matrix.

J = (d(G1(N0- α1n1- α2n2)n1-K1n1)dn1d(G1(N0- α1n1- α2n2)n1-K1n1)dn2d(G2(N0- α1n1- α2n2)n2-K2n2)dn1d(G2(N0- α1n1- α2n2)n2-K2n2)dn2)

J = (G1(N02α1n1α2n2)K1α2n2G1α1n1G2G2(N0α1n12α2n2)K2)

The above Jacobian matrix at the origin becomes,

J (0,0)(G1N0K100G2N0K2)

The eigenvalues of the above Jacobian matrix are

λ1=G1N0K1

λ2= G2N0K2

From the above expressions of eigenvalues, the origin is unstable, if λ1,λ2 is greater than zero,

λ1> 0 λ2> 0

0>G1N0K1G1N0>K1

0 > G2N0K2G2N0>K2

And the origin is stable point if λ1,λ2 is less than zero.

λ1< 0 λ2< 0

G1N0-K1< 0G1N0< K1

G2N0-K2< 0G2N0< K2

Thus, the system is stable at origin the value of G1 and G2 is

G1<K1N0 and G2<K2N0

(b)

To estimate the other fixed point of the system put n˙1=0 and n˙2=0 in the system equations

Putting n˙1=0 in n˙1= G1(N0- α1n1- α2n2)n1-K1n1 and n˙2=0 in n˙2= G2(N0- α1n1- α2n2)n2-K2n2

G1(N0- α1n1- α2n2)n1-K1n1= 0

(G1(N0- α1n1- α2n2)-K1)n1= 0

From the above equation, two conditions are determined.

n1= 0

G1(N0- α1n1- α2n2)-K1= 0

Put n˙2=0 in n˙2= G2(N0- α1n1- α2n2)n2-K2n2

G2(N0- α1n1- α2n2)n2-K2n2= 0

(G2(N0- α1n1- α2n2)-K2)n2= 0

From the above equation, two conditions are determined.

n2=0

G2(N0- α1n1- α2n2)-K2= 0

Now, substituting n1= 0 in the condition G2(N0- α1n1- α2n2)-K2= 0

G2(N0- α2n2)-K2= 0

G2N0- G2α2n2-K2= 0

G2N0 - K2= G2α2n2n2=G2N0 - K2G2α2

Thus, the one of the fixed point is (0 ,G2N0 - K2G2α2)

Now, substituting n2= 0 in the condition G1(N0- α1n1- α2n2)-K1= 0

G1(N0- α1n1)-K1= 0

n1=G1N0K1G1α1

Thus, the another fixed point is at (G1N0K1G1α1,0)

Therefore, there exists another two fixed point at (0 ,G2N0 - K2G2α2) and (G1N0K1G1α1,0)

To check the stability of these points, use Jacobian matrix

J = (dn˙1dn1dn˙1dn2dn˙2dn1dn˙2dn2)

Let’s check the stability of the fixed point (0 ,G2N0 - K2G2α2)

Substituting expression of n˙1 and n˙2 in Jacobian matrix,

J = (d(G1(N0- α1n1- α2n2)n1-K1n1)dn1d(G1(N0- α1n1- α2n2)n1-K1n1)dn2d(G2(N0- α1n1- α2n2)n2-K2n2)dn1d(G2(N0- α1n1- α2n2)n2-K2n2)dn2)

J = (G1(N02α1n1α2n2)K1α2n2G1α1n1G2G2(N0α1n12α2n2)K2)

By substituting (n1,n2)=(0 ,G2N0 - K2G2α2)

J(0 ,G1N0- K1G1α2)=(G1(N02α1(0)α2(G2N0 - K2G2α2))K1α2(G2N0 - K2G2α2)G10G2(N0α1(0)2α2(G2N0 - K2G2α2))K2)

J(0 ,G1N0- K1G1α2)=(G1K2G2K1G1N0+G1K2G20- G2N0+K2)

The Jacobian matrix at the point (G1N0K1G1α1,0) is

J(G2N0-K2G2α1,0) = (G1(N02α1(G1N0K1G1α1)α2(0))K1α2(0)G1α1(G1N0K1G1α1)G2G2(N0α1(G1N0K1G1α1)2α2(0))K2)

J(G2N0-K2G2α1,0) = (G1N0+ K10G2N0+G2K1G1G2K1G1K2)

Here, the Jacobian matrixes are triangular matrix.

J(0 ,G1N0- K1G1α2)=(G1K2G2K1G1N0+G1K2G20- G2N0+K2) is a upper triangular matrix.

And

J(G2N0-K2G2α1,0) = (G1N0+ K10G2N0+G2K1G1G2K1G1K2) is lower triangular matrix.

The eigenvalues of the triangular matrix are the diagonal elements.

Thus, the eigenvalues of Jacobian matrix J(0 ,G1N0- K1G1α2) are

λ1=G1K2G2K1 and λ2= - G2N0+K2

The stability of the fixed point (0 ,G2N0 - K2G2α2) is depends on the values of G1,G2,N0,K1,K2

Both the eigenvalues have negative real parts. Hence the fixed point is stable.

If one of the eigenvalue has positive real part and another having negative real part, then the fixed point is saddle fixed point. If both eigenvalues have positive real part, then the fixed point is unstable.

And eigenvalues of Jacobian matrix J(G2N0-K2G2α1,0)  are

λ1= G1N0+ K1 and λ2=G2K1G1K2

The stability of the fixed point (G1N0K1G1α1,0) is dependent on the values of G1,G2,N0,K1,K2

If the both the eigenvalues have negative real parts, then the fixed point is stable.

If one of the eigenvalue has positive real part and another having negative real part, then the fixed point is saddle fixed point. If both eigenvalues have positive real part, then the fixed point is unstable.

(c) The different phase portrait for the different value of the parameter constant is plotted as:

Considering a constant parameter is as follows:

N0=5, G1=1, G2=1, α1=1, α2=1, K1= 7.5, K2= 7.5

n˙1= 1(5- n1- n2)n1-7.5n1

n˙2= (5- n1- n2)n2-7.5n2

The phase portrait for the above constant value is plotted as follows:

Nonlinear Dynamics and Chaos, Chapter 6.4, Problem 7E , additional homework tip  1

This phase portrait describes that n1 and n2 are decaying to origin.

Considering a constant parameter is as follows:

N0=5, G1=1, G2=1, α1=1, α2=1, K1= 7.5, K2= 2.5

n˙1= 1(5- n1- n2)n1-7.5n1

n˙2= (5- n1- n2)n2-2.5n2

Nonlinear Dynamics and Chaos, Chapter 6.4, Problem 7E , additional homework tip  2

This phase portrait describes that stable point is on the n2 axis.

Considering a constant parameter is as follows:

N0=5, G1=1, G2=1, α1=1, α2=1, K1= 2.5, K2= 7.5

n˙1= 1(5- n1- n2)n1-2.5n1

n˙2= (5- n1- n2)n2-7.5n2

Nonlinear Dynamics and Chaos, Chapter 6.4, Problem 7E , additional homework tip  3

The phase portrait describes that the stable point is on n1 axis

N0=5, G1=1, G2=1, α1=1, α2=1, K1= 2.5, K2= 2.5

n˙1= 1(5- n1- n2)n1-2.5n1

n˙2= (5- n1- n2)n2-2.5n2

Nonlinear Dynamics and Chaos, Chapter 6.4, Problem 7E , additional homework tip  4

This phase portrait describes that there are infinite number of fixed points in the first quadrant of the graph and an unstable point at origin.

There are four different qualitatively phase portrait can be sketched for the system and there is no possibility of other phase portrait because the nullclines are axes and parallel lines.

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Chapter 6 Solutions

Nonlinear Dynamics and Chaos

Ch. 6.1 - Prob. 11ECh. 6.1 - Prob. 12ECh. 6.1 - Prob. 13ECh. 6.1 - Prob. 14ECh. 6.2 - Prob. 1ECh. 6.2 - Prob. 2ECh. 6.3 - Prob. 1ECh. 6.3 - Prob. 2ECh. 6.3 - Prob. 3ECh. 6.3 - Prob. 4ECh. 6.3 - Prob. 5ECh. 6.3 - Prob. 6ECh. 6.3 - Prob. 7ECh. 6.3 - Prob. 8ECh. 6.3 - Prob. 9ECh. 6.3 - Prob. 10ECh. 6.3 - Prob. 11ECh. 6.3 - Prob. 12ECh. 6.3 - Prob. 13ECh. 6.3 - Prob. 14ECh. 6.3 - Prob. 15ECh. 6.3 - Prob. 16ECh. 6.3 - Prob. 17ECh. 6.4 - Prob. 1ECh. 6.4 - Prob. 2ECh. 6.4 - Prob. 3ECh. 6.4 - Prob. 4ECh. 6.4 - Prob. 5ECh. 6.4 - Prob. 6ECh. 6.4 - Prob. 7ECh. 6.4 - Prob. 8ECh. 6.4 - Prob. 9ECh. 6.4 - Prob. 10ECh. 6.4 - Prob. 11ECh. 6.5 - Prob. 1ECh. 6.5 - Prob. 2ECh. 6.5 - Prob. 3ECh. 6.5 - Prob. 4ECh. 6.5 - Prob. 5ECh. 6.5 - Prob. 6ECh. 6.5 - Prob. 7ECh. 6.5 - Prob. 8ECh. 6.5 - Prob. 9ECh. 6.5 - Prob. 10ECh. 6.5 - Prob. 11ECh. 6.5 - Prob. 12ECh. 6.5 - Prob. 13ECh. 6.5 - Prob. 14ECh. 6.5 - Prob. 15ECh. 6.5 - Prob. 16ECh. 6.5 - Prob. 17ECh. 6.5 - Prob. 18ECh. 6.5 - Prob. 19ECh. 6.5 - Prob. 20ECh. 6.6 - Prob. 1ECh. 6.6 - Prob. 2ECh. 6.6 - Prob. 3ECh. 6.6 - Prob. 4ECh. 6.6 - Prob. 5ECh. 6.6 - Prob. 6ECh. 6.6 - Prob. 7ECh. 6.6 - Prob. 8ECh. 6.6 - Prob. 9ECh. 6.6 - Prob. 10ECh. 6.6 - Prob. 11ECh. 6.7 - Prob. 1ECh. 6.7 - Prob. 2ECh. 6.7 - Prob. 3ECh. 6.7 - Prob. 4ECh. 6.7 - Prob. 5ECh. 6.8 - Prob. 1ECh. 6.8 - Prob. 2ECh. 6.8 - Prob. 3ECh. 6.8 - Prob. 4ECh. 6.8 - Prob. 5ECh. 6.8 - Prob. 6ECh. 6.8 - Prob. 7ECh. 6.8 - Prob. 8ECh. 6.8 - Prob. 9ECh. 6.8 - Prob. 10ECh. 6.8 - Prob. 11ECh. 6.8 - Prob. 12ECh. 6.8 - Prob. 13ECh. 6.8 - Prob. 14E
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