We know that "(1,0,0),(0,1,0),(0,0,1)" is the standard basis of "R^3" .
Given "T(z_1,z_2,z_3) = ( 2z_2, 0, 5z_3)" .
Now, "T(1,0,0) =(0,0,0)" , "T(0,1,0) =(2,0,0)" and "T(0,0,1)=(0,0,5)" .
So, Matrix "T = \\begin{bmatrix} 0 & 2 &0\\\\ 0 & 0 & 0 \\\\ 0 & 0 & 5 \\end{bmatrix}" .
Since, T is upper-triangular Matrix, so eigen-values of T are "0,0,5" .
Eigenvector of T with respect to eigen-value 0 :
"[T -0I]X = O \\implies \\begin{bmatrix} 0 & 2 &0\\\\ 0 & 0 & 0 \\\\ 0 & 0 & 5 \\end{bmatrix} \\begin{bmatrix} x_1 \\\\ x_2 \\\\ x_3 \\end{bmatrix} = \n\\begin{bmatrix} 0 \\\\ 0 \\\\ 0 \\end{bmatrix}"
"\\implies x_2 = 0, x_3 = 0" and let "x_1 = k"
So, eigenvector is "[ 1 \\ 0 \\ 0 ]^t" .
Eigenvalue 0 has arithmetic multiplicity 2, but rank of T is 2, so geometric multiplicity corresponding to 0 is "= n - \\rho(T ) = 3- 2 = 1". So, corresponding to eigenvalue 0, only one eigenvector exists and calculated above.
Eigenvector of T with respect to eigen-value 5 :
"[T -5I]X = O \\implies \\begin{bmatrix} -5 & 2 &0\\\\ 0 & -5 & 0 \\\\ 0 & 0 & 0\\end{bmatrix} \\begin{bmatrix} x_1 \\\\ x_2 \\\\ x_3 \\end{bmatrix} = \n\\begin{bmatrix} 0 \\\\ 0 \\\\ 0 \\end{bmatrix}"
"\\implies x_1 = 0, x_2 = 0" and let "x_3 = k"
So, eigenvector is "[ 0 \\ 0 \\ 1 ]^t" .
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