Answer to Question #84479 - Math - Linear Algebra
Question:
Obtain the eigenvalues and eigenvectors of the matrix: M = [ 2 3 0 3 2 0 0 0 1 ] M = \begin{bmatrix} 2 & 3 & 0 \\ 3 & 2 & 0 \\ 0 & 0 & 1 \end{bmatrix} M = ⎣ ⎡ 2 3 0 3 2 0 0 0 1 ⎦ ⎤ .
Solution:
The characteristic equation is ∣ M − λ I ∣ = 0 |M - \lambda I| = 0 ∣ M − λ I ∣ = 0 , where the roots λ \lambda λ are called the eigenvalues of M M M .
∣ M − λ I ∣ = ∣ 2 − λ 3 0 3 2 − λ 0 0 0 1 − λ ∣ = 0. \left| M - \lambda I \right| = \left| \begin{array}{ccc} 2 - \lambda & 3 & 0 \\ 3 & 2 - \lambda & 0 \\ 0 & 0 & 1 - \lambda \end{array} \right| = 0. ∣ M − λ I ∣ = ∣ ∣ 2 − λ 3 0 3 2 − λ 0 0 0 1 − λ ∣ ∣ = 0. ( 1 − λ ) { ( 2 − λ ) 2 − 9 } = 0 ⇒ ( 1 − λ ) ( 4 − 4 λ + λ 2 − 9 ) = 0 ⇒ ( 1 − λ ) ( λ 2 − 4 λ − 5 ) = 0. (1 - \lambda) \left\{ (2 - \lambda)^2 - 9 \right\} = 0 \Rightarrow (1 - \lambda) (4 - 4\lambda + \lambda^2 - 9) = 0 \Rightarrow (1 - \lambda) (\lambda^2 - 4\lambda - 5) = 0. ( 1 − λ ) { ( 2 − λ ) 2 − 9 } = 0 ⇒ ( 1 − λ ) ( 4 − 4 λ + λ 2 − 9 ) = 0 ⇒ ( 1 − λ ) ( λ 2 − 4 λ − 5 ) = 0. ( 1 − λ ) ( λ + 1 ) ( λ − 5 ) = 0. (1 - \lambda) (\lambda + 1) (\lambda - 5) = 0. ( 1 − λ ) ( λ + 1 ) ( λ − 5 ) = 0.
The eigenvalues are λ = − 1 , λ = 1 , λ = 5 \lambda = -1, \lambda = 1, \lambda = 5 λ = − 1 , λ = 1 , λ = 5 .
The eigenvectors X = ( x 1 x 2 x 3 ) X = \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} X = ⎝ ⎛ x 1 x 2 x 3 ⎠ ⎞ are obtained by solving ( M − λ I ) X = 0 (M - \lambda I)X = 0 ( M − λ I ) X = 0 for each λ \lambda λ .
When λ = − 1 \lambda = -1 λ = − 1 , ( M − λ I ) X = ( 2 + 1 3 0 3 2 + 1 0 0 0 1 + 1 ) ( x 1 x 2 x 3 ) = ( 0 0 0 ) ⇒ ( 3 x 1 + 3 x 2 3 x 1 + 3 x 2 2 x 3 ) = ( 0 0 0 ) (M - \lambda I)X = \begin{pmatrix} 2 + 1 & 3 & 0 \\ 3 & 2 + 1 & 0 \\ 0 & 0 & 1 + 1 \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} \Rightarrow \begin{pmatrix} 3x_1 + 3x_2 \\ 3x_1 + 3x_2 \\ 2x_3 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} ( M − λ I ) X = ⎝ ⎛ 2 + 1 3 0 3 2 + 1 0 0 0 1 + 1 ⎠ ⎞ ⎝ ⎛ x 1 x 2 x 3 ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ ⇒ ⎝ ⎛ 3 x 1 + 3 x 2 3 x 1 + 3 x 2 2 x 3 ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ .
x 1 + x 2 = 0 , x 3 = 0. Take x 2 = 1. x_1 + x_2 = 0, x_3 = 0. \text{ Take } x_2 = 1. x 1 + x 2 = 0 , x 3 = 0. Take x 2 = 1.
Hence the eigenvector corresponding to λ = − 1 \lambda = -1 λ = − 1 is X = ( − 1 1 0 ) X = \begin{pmatrix} -1 \\ 1 \\ 0 \end{pmatrix} X = ⎝ ⎛ − 1 1 0 ⎠ ⎞ .
When λ = 1 \lambda = 1 λ = 1 , ( M − λ I ) X = ( 2 − 1 3 0 3 2 − 1 0 0 0 1 − 1 ) ( x 1 x 2 x 3 ) = ( 0 0 0 ) ⇒ ( x 1 + 3 x 2 3 x 1 + x 2 0 ) = ( 0 0 0 ) (M - \lambda I)X = \begin{pmatrix} 2 - 1 & 3 & 0 \\ 3 & 2 - 1 & 0 \\ 0 & 0 & 1 - 1 \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} \Rightarrow \begin{pmatrix} x_1 + 3x_2 \\ 3x_1 + x_2 \\ 0 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} ( M − λ I ) X = ⎝ ⎛ 2 − 1 3 0 3 2 − 1 0 0 0 1 − 1 ⎠ ⎞ ⎝ ⎛ x 1 x 2 x 3 ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ ⇒ ⎝ ⎛ x 1 + 3 x 2 3 x 1 + x 2 0 ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ .
x 1 = 0 , x 2 = 0 , x 3 = 1. x_1 = 0, x_2 = 0, x_3 = 1. x 1 = 0 , x 2 = 0 , x 3 = 1.
Hence the eigenvector corresponding to λ = 1 \lambda = 1 λ = 1 is X = ( 0 0 1 ) X = \begin{pmatrix} 0 \\ 0 \\ 1 \end{pmatrix} X = ⎝ ⎛ 0 0 1 ⎠ ⎞ .
When λ = 5 \lambda = 5 λ = 5 , ( M − λ I ) X = ( 2 − 5 3 0 3 2 − 5 0 0 0 1 − 5 ) ( x 1 x 2 x 3 ) = ( 0 0 0 ) ⇒ ( − 3 x 1 + 3 x 2 3 x 1 − 3 x 2 − 4 x 3 ) = ( 0 0 0 ) (M - \lambda I)X = \begin{pmatrix} 2 - 5 & 3 & 0 \\ 3 & 2 - 5 & 0 \\ 0 & 0 & 1 - 5 \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} \Rightarrow \begin{pmatrix} -3x_1 + 3x_2 \\ 3x_1 - 3x_2 \\ -4x_3 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} ( M − λ I ) X = ⎝ ⎛ 2 − 5 3 0 3 2 − 5 0 0 0 1 − 5 ⎠ ⎞ ⎝ ⎛ x 1 x 2 x 3 ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ ⇒ ⎝ ⎛ − 3 x 1 + 3 x 2 3 x 1 − 3 x 2 − 4 x 3 ⎠ ⎞ = ⎝ ⎛ 0 0 0 ⎠ ⎞ .
x 1 − x 2 = 0 , x 3 = 0 x_{1} - x_{2} = 0, x_{3} = 0 x 1 − x 2 = 0 , x 3 = 0 . Take x 2 = 1 x_{2} = 1 x 2 = 1 .
Hence the eigenvector corresponding to λ = 5 \lambda = 5 λ = 5 is X = ( 1 1 0 ) X = \begin{pmatrix} 1 \\ 1 \\ 0 \end{pmatrix} X = ⎝ ⎛ 1 1 0 ⎠ ⎞ .
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