Question #84479

Obtain the eigenvalues and eigenvectors of the matrix:
M= [2 3 0]
[3 2 0]
[0 0 1]

Expert's answer

Answer to Question #84479 - Math - Linear Algebra

Question:

Obtain the eigenvalues and eigenvectors of the matrix: M=[230320001]M = \begin{bmatrix} 2 & 3 & 0 \\ 3 & 2 & 0 \\ 0 & 0 & 1 \end{bmatrix}.

Solution:

The characteristic equation is MλI=0|M - \lambda I| = 0, where the roots λ\lambda are called the eigenvalues of MM.


MλI=2λ3032λ0001λ=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.(1λ){(2λ)29}=0(1λ)(44λ+λ29)=0(1λ)(λ24λ5)=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.(1λ)(λ+1)(λ5)=0.(1 - \lambda) (\lambda + 1) (\lambda - 5) = 0.


The eigenvalues are λ=1,λ=1,λ=5\lambda = -1, \lambda = 1, \lambda = 5.

The eigenvectors X=(x1x2x3)X = \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} are obtained by solving (MλI)X=0(M - \lambda I)X = 0 for each λ\lambda.

When λ=1\lambda = -1, (MλI)X=(2+13032+10001+1)(x1x2x3)=(000)(3x1+3x23x1+3x22x3)=(000)(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}.


x1+x2=0,x3=0. Take x2=1.x_1 + x_2 = 0, x_3 = 0. \text{ Take } x_2 = 1.


Hence the eigenvector corresponding to λ=1\lambda = -1 is X=(110)X = \begin{pmatrix} -1 \\ 1 \\ 0 \end{pmatrix}.

When λ=1\lambda = 1, (MλI)X=(213032100011)(x1x2x3)=(000)(x1+3x23x1+x20)=(000)(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}.


x1=0,x2=0,x3=1.x_1 = 0, x_2 = 0, x_3 = 1.


Hence the eigenvector corresponding to λ=1\lambda = 1 is X=(001)X = \begin{pmatrix} 0 \\ 0 \\ 1 \end{pmatrix}.

When λ=5\lambda = 5 , (MλI)X=(253032500015)(x1x2x3)=(000)(3x1+3x23x13x24x3)=(000)(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} .

x1x2=0,x3=0x_{1} - x_{2} = 0, x_{3} = 0 . Take x2=1x_{2} = 1 .

Hence the eigenvector corresponding to λ=5\lambda = 5 is X=(110)X = \begin{pmatrix} 1 \\ 1 \\ 0 \end{pmatrix} .

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