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Q24E

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Linear Algebra With Applications
Found in: Page 440
Linear Algebra With Applications

Linear Algebra With Applications

Book edition 5th
Author(s) Otto Bretscher
Pages 442 pages
ISBN 9780321796974

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Short Answer

For the linear systemdxdt=[30-2.50.5]x(t) find the matching phase portrait.

The phase portrait corresponds to I.

See the step by step solution

Step by Step Solution

Step1: To find the eigenvalues

Consider the linear system as follows.

dxdt=30-2.50.5xt

To find the eigenvalues, evaluate A-λI=0 as follows.

A-λI=03-λ0-2.50.5-λ=03-λ0.5-λ-0-2.5=01.5-3λ-0.5λ+λ2-0=0

Simplify further as follows.

λ2-3.5λ+1.5=0λ2-3λ-0.5λ+1.5=0λλ-3-0.5λ-3=0λ-3λ-0.5=0

Simplify further as follows.

λ-3=0λ1=3λ-0.5=0λ2=0.5

Therefore, the eigenvalues are λ1=3 and λ2=0.5.

To find the eigenvector for λ1=3

Now, to find the corresponding eigenvector for the eigenvalue λ1=3 as follows.

localid="1659888265593" A-3a=03-30-2.50.5-3a1a2=000-2.52.5a1a2=00a1+0a2-2.5a1-2.5a2=0

The corresponding equations are follows.

0a1+0a2=0-2.5a1-2.5a2=0

Now, solving the second equation as follows.

-2.5a1-2.5a2=0-2.5a1=2.5a2a1=-2.5a22.5a1=-a2

Therefore, the eigenvectors as follows.

a=a1a2=-a2a2 Qa1=-a2a=a2-11

Step3: To find the eigenvector for λ1=0.5

Now, to find the corresponding eigenvector for the eigenvalue λ1=0.5 as follows.

A-3b=03-0.50-2.50.5-0.5b1b2=02.50-2.50b1b2=02.5b1+0b2-2.5b1-0b2=0

The corresponding equations are follows.

2.5b1+0b2=0-2.5b1-0b2=0

Now, solving the second equation as follows.

-2.5b1-0b2=0-2.5b1=0b2b1=0b1=0

Therefore, the eigenvectors as follows.

b=b1b2=0b2 Qb1=0b=b201

The eigenvectors are as follows

-10and01

The general solution to the system can be represented as follows.

xn=c1λ1na+c2λ2nbxn=c13n-11+c20.5n01

Step4: Observation of the phase portrait

Since, the eigenvalues are real and distinct.

Therefore, the phase portrait is in figure 3 as follows.

Hence, the phase portrait to the linear system dxdt=30-2.50.5xt

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