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Lecture Notes in Differential Equations - Bruce E. Shapiro

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124 LESSON 14. REVIEW OF LINEAR ALGEBRA<br />

Its characteristic equation is<br />

2 − λ −2 3<br />

0 =<br />

1 1 − λ 1<br />

∣ 1 3 −1 − λ ∣<br />

(14.44)<br />

= (2 − λ)[(1 − λ)(−1 − λ) − 3] + 2[(−1 − λ) − 1] (14.45)<br />

+ 3[3 − (1 − λ)] (14.46)<br />

= (2 − λ)(−1 + λ 2 − 3) + 2(−2 − λ) + 3(2 + λ) (14.47)<br />

= (2 − λ)(λ 2 − 4) − 2(λ + 2) + 3(λ + 2) (14.48)<br />

= (2 − λ)(λ + 2)(λ − 2) + (λ + 2) (14.49)<br />

= (λ + 2)[(2 − λ)(λ − 2) + 1] (14.50)<br />

= (λ + 2)(−λ 2 + 4λ − 3) (14.51)<br />

= −(λ + 2)(λ 2 − 4λ + 3) (14.52)<br />

= −(λ + 2)(λ − 3)(λ − 1) (14.53)<br />

Therefore the eigenvalues are -2, 3, 1. To f<strong>in</strong>d the eigenvector correspond<strong>in</strong>g<br />

to -2 we would solve the system of<br />

⎛<br />

⎞ ⎛ ⎞ ⎛ ⎞<br />

2 −2 3 x x<br />

⎝1 1 1 ⎠ ⎝y⎠ = −2 ⎝y⎠ (14.54)<br />

1 3 −1 z z<br />

for x, y, z. One way to do this is to multiply out the matrix on the left and<br />

solve the system of three equations <strong>in</strong> three unknowns:<br />

2x − 2y + 3z = −2x (14.55)<br />

x + y + z = −2y (14.56)<br />

x + 3y − z = −2z (14.57)<br />

However, we should observe that the eigenvector is never unique. For example,<br />

if v is an eigenvector of A with eigenvalue λ then<br />

A(kv) = kAv = kλv (14.58)<br />

i.e., kv is also an eigenvalue of A. So the problem is simplified: we can<br />

try to fix one of the elements of the eigenvalue. Say we try to f<strong>in</strong>d an<br />

eigenvector of A correspond<strong>in</strong>g to λ = −2 with y = 1. Then we solve the<br />

system<br />

2x − 2 + 3z = −2x (14.59)<br />

x + 1 + z = −2 (14.60)<br />

x + 3 − z = −2z (14.61)

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