Question #152485

Consider a linear transformation T in <4 is defined by T(x1, x2, x3, x4) =(−x2, x1, −x4, x3). Show that it does not have real eigen-values.


Expert's answer

T(x1, x2, x3, x4) =(−x2, x1, −x4, x3)

We should write in matrix firstly:

T=[0−1001000000−10010];T= \begin{bmatrix} 0 & -1 & 0 & 0 \\ 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & -1 \\ 0 & 0 & 1 & 0 \\ \end{bmatrix} ;


In order to show that T matrix does not have real eigen values, should calculate (λ×I−A)(\lambda\times I-A) matrix:

(λ×I−A)=λ×[1000010000100001]−(\lambda\times I-A)= \lambda \times \begin{bmatrix} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \\ \end{bmatrix} - [0−1001000000−10010]=\begin{bmatrix} 0 & -1 & 0 & 0 \\ 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & -1 \\ 0 & 0 & 1 & 0 \\ \end{bmatrix} =


[λ0000λ0000λ0000λ]−[0−1001000000−10010]=\begin{bmatrix} \lambda & 0 & 0 & 0 \\ 0 & \lambda & 0 & 0 \\ 0 & 0 & \lambda & 0 \\ 0 & 0 & 0 & \lambda \\ \end{bmatrix} - \begin{bmatrix} 0 & -1 & 0 & 0 \\ 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & -1 \\ 0 & 0 & 1 & 0 \\ \end{bmatrix} = [λ100−1λ0000λ100−1λ];\begin{bmatrix} \lambda & 1 & 0 & 0 \\ -1 & \lambda & 0 & 0 \\ 0 & 0 & \lambda & 1 \\ 0 & 0 & -1 & \lambda \\ \end{bmatrix};


And find det of (λ×I−A)(\lambda\times I-A) matrix:

λ×(−1)1+1[λ000λ10−1λ]+1×(−1)1+2×\lambda \times (-1)^{1+1} \begin{bmatrix} \lambda & 0 & 0 \\ 0 & \lambda & 1 \\ 0 & -1 & \lambda \\ \end{bmatrix}+ 1 \times (-1)^{1+2} \times [−1000λ10−1λ]=\begin{bmatrix} -1 & 0 & 0 \\ 0 & \lambda & 1 \\ 0 & -1 & \lambda \\ \end{bmatrix}=


λ×(λ3+λ)−(−λ2−1)=\lambda \times (\lambda^3+ \lambda) -(-\lambda^2-1)= λ×(λ3+λ)−(−λ2−1)=λ4+λ2+λ2+1=\lambda \times (\lambda^3+ \lambda) -(-\lambda^2-1)= \lambda^4+\lambda^2+\lambda^2+1= λ4+2λ2+1;\lambda^4+2\lambda^2+1;

And then will equate the polynomial formed by the eigen values to 0:

λ4+2λ2+1=0\lambda^4+2\lambda^2+1=0

λ2\lambda^2 is greater than or equal to 0. The left-hand side of the equation is greater than or equal to 1, but the right-hand side of the equation is 0. The equality cannot be true. So this equation doesn't have real solutions. Thus,the matrix T does not have real eigen values.


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