Nonlinear Dynamics and Chaos
Nonlinear Dynamics and Chaos
2nd Edition
ISBN: 9780813349107
Author: Steven H. Strogatz
Publisher: PERSEUS D
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Chapter 5.2, Problem 1E
Interpretation Introduction

Interpretation:

To find characteristic polynomial λ2- 5λ + 6 = 0 for the system of linear equations x˙ = 4x - y and y˙ = 2x + y, using x˙ = Ax. Also find eigenvalues and eigenvectors of matrix A.

Solve the given system of linear equations and write the general solution.

Classify the fixed points at the origin.

Solve the system subject to the primary condition (x0,y0) = (3,4).

Concept Introduction:

Equations for two dimensional linear system are x˙ = ax + by and y˙ = cx + dy.

The above linear system expressed in the form x˙ = Ax.

The standard characteristics polynomials is

λ2- τλ + Δ = 0, where τ is trace ofmatrix A, λ is corresponding eigenvalue, and Δ is the determinant of matrix A.

Expert Solution & Answer
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Answer to Problem 1E

Solution:

The characteristic polynomial for the linear system of equation is λ2- 5λ + 6 = 0. Eigenvalues and eigenvectors of matrix A are λ1= 3, λ2= 2, v1= (11) and v2= (12).

Overall solution of the system is X(t) =(xy)= c1eλ1tv1+c2eλ2tv2=c1e3t(11)+c2e2t(12).

The nature of fixed points for the given linear equations is unstable and growing.

The solution of the system for initial condition (x0,y0) = (3,4) is x(t)=2e3t+e2ty(t)=2e3t+2e2t.

Explanation of Solution

The linear system equations are

x˙ = 4x - y

And,

y˙ = 2x + y.

The above linear equations can be written in matrix form as

x˙ = Ax

x˙=(x˙y˙)A= (abcd)x=(xy)

(x˙y˙) = (abcd)(xy)

(x˙y˙) = (4121)(xy)

The standard characteristic polynomial is

λ2- τλ + Δ = 0

Here, λ is the corresponding eigenvalue, τ is trace of the matrix (a + d), and Δ is (ad - bc)- determinant of the matrix A.

τ =  a + d

τ =  4 + 1

τ = 5

Δ = ad - bc

Δ = (4)(1) - (-1)(2)

Δ = 6

Substitute 5 for τ, 6 for Δ in the above standard characteristic polynomial, and solve.

λ2- 5λ + 6 = 0

This is the necessarycharacteristic polynomial.

To find the eigenvalues of the above characteristic polynomial, find its roots.

λ=-b ± b2-4ac2ab = -5,a = 1,c =6λ=5 ± 52- (4×1×6)2×1λ=5 ± 25-242λ= 5 ± 12λ1=3 and λ2=2

Using characteristic equation, find eigenvectors for the given eigenvalues.

Ax = λxx =(v1v2)(4-121)(v1v2)= 3(v1v2)4v1- v2=3v1v1-v2=0v1= v22v1+v2=3v2v1-v2=0v1= v2so first vector for λ = 3 is ,v1=(v1v2)(11)for λ=3(1-12-2)(v1v2)= 0for λ=2(4-121)(v1v2)= 2(v1v2)4v1v2=2v1v2=2v1when v1=1v2=2v2=(v1v2)(12)

General solution of the system is written as

X(t) =(xy)= c1eλ1tv1+c2eλ2tv2=c1e3t(11)+c2e2t(12)

Here, c1 and c2 are constants.

The fixed points at the origin can never be stable if both eigenvalues are positive and real. Hence the nature of fixed points for the given linear equations is unstable and growing. This means the stream lines are moving out from the center of the origin. Also,  τ = 5 and Δ=6  yield unstable node.

Initial condition is (x0,y0) = (3,4).

X(t) =(x(t)y(t))= c1eλ1tv1+c2eλ2tv2=c1e3t(11)+c2e2t(12)

Substitute t = 0 in the obtained equation.

X(0) =(x(0)y(0))= c1eλ10v1+c2eλ20v2=c1(11)+c2(12)(x(0)y(0))=c1(11)+c2(12)(34)=c1(11)+c2(12)c1+c2=3c1+2c2=4

Solving for c1 and c2,

c1=2,c2=1.

Substituting this values in general solution of time t,

(x(t)y(t))2eλ1tv1+1eλ2t=2e3t(11)+e2t(12)(x(t)y(t))2eλ1tv1+1eλ2t=e3t(22)+e2t(12)x(t)=2e3t+e2ty(t)=2e3t+2e2t

This x(t) and y(t) is the solution for the given initial conditions.

Conclusion

The characteristic equation, eigenvalues, and eigenvectors are found for the given system of linear equations. Also general solution and solution of the given initial condition is found.

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