We have the matrix:
A = ( 2 1 1 2 3 2 2 1 2 ) A = \left( \begin{array}{ccc} 2 & 1 & 1 \\ 2 & 3 & 2 \\ 2 & 1 & 2 \end{array} \right) A = ⎝ ⎛ 2 2 2 1 3 1 1 2 2 ⎠ ⎞
Let's find eigenvalues:
det ( A − λ I ) = det ( 2 − λ 1 1 2 3 − λ 2 2 1 2 − λ ) = ( 2 − λ ) ( ( 3 − λ ) ( 2 − λ ) − 2 ) − ( 2 ( 2 − λ ) − 4 ) + ( 2 − 2 ( 3 − λ ) ) = − λ 3 + 7 λ 2 − 10 λ + 4 = − ( λ − 1 ) ( λ 2 − 6 λ + 4 ) = 0 \begin{array}{l}
\det (A - \lambda I) = \det \left( \begin{array}{ccc} 2 - \lambda & 1 & 1 \\ 2 & 3 - \lambda & 2 \\ 2 & 1 & 2 - \lambda \end{array} \right) \\
= (2 - \lambda) \left( (3 - \lambda) (2 - \lambda) - 2 \right) - (2 (2 - \lambda) - 4) + (2 - 2 (3 - \lambda)) \\
= -\lambda^3 + 7\lambda^2 - 10\lambda + 4 = -(\lambda - 1)(\lambda^2 - 6\lambda + 4) = 0
\end{array} det ( A − λ I ) = det ⎝ ⎛ 2 − λ 2 2 1 3 − λ 1 1 2 2 − λ ⎠ ⎞ = ( 2 − λ ) ( ( 3 − λ ) ( 2 − λ ) − 2 ) − ( 2 ( 2 − λ ) − 4 ) + ( 2 − 2 ( 3 − λ )) = − λ 3 + 7 λ 2 − 10 λ + 4 = − ( λ − 1 ) ( λ 2 − 6 λ + 4 ) = 0
The roots of this polynomial are:
λ 1 = 1 \lambda_1 = 1 λ 1 = 1 λ 2 , 3 = 3 ± 5 \lambda_{2,3} = 3 \pm \sqrt{5} λ 2 , 3 = 3 ± 5
Let's find eigenvectors corresponding to each of the eigenvalues.
Eigenvectors for given λ \lambda λ are the fundamental solutions of the system
( A − λ I ) x = 0 (A - \lambda I)x = 0 ( A − λ I ) x = 0
For λ 1 = 1 \lambda_1 = 1 λ 1 = 1 we have such matrix:
A − λ I = ( 1 1 1 2 2 2 2 1 1 ) ∼ ( 1 1 1 2 1 1 ) ∼ ( 0 1 1 1 0 0 ) A - \lambda I = \left( \begin{array}{ccc} 1 & 1 & 1 \\ 2 & 2 & 2 \\ 2 & 1 & 1 \end{array} \right) \sim \left( \begin{array}{ccc} 1 & 1 & 1 \\ 2 & 1 & 1 \end{array} \right) \sim \left( \begin{array}{ccc} 0 & 1 & 1 \\ 1 & 0 & 0 \end{array} \right) A − λ I = ⎝ ⎛ 1 2 2 1 2 1 1 2 1 ⎠ ⎞ ∼ ( 1 2 1 1 1 1 ) ∼ ( 0 1 1 0 1 0 )
Eigenvector corresponding to λ 1 \lambda_1 λ 1 is thus v 1 = C 1 ( 0 , − 1 , 1 ) v_1 = C_1(0, -1, 1) v 1 = C 1 ( 0 , − 1 , 1 ) , where C 1 C_1 C 1 is a real constant, C 1 ≠ 0 C_1 \neq 0 C 1 = 0 .
For λ 2 = 3 − 5 \lambda_2 = 3 - \sqrt{5} λ 2 = 3 − 5 :
A − λ I = ( 5 − 1 1 1 2 5 2 2 1 5 − 1 ) ∼ ( 5 − 3 0 2 − 5 2 − 2 5 0 − 3 + 5 2 1 5 + 1 ) ∼ ( 5 − 3 0 2 − 5 2 1 5 + 1 ) A - \lambda I = \left( \begin{array}{ccc} \sqrt{5} - 1 & 1 & 1 \\ 2 & \sqrt{5} & 2 \\ 2 & 1 & \sqrt{5} - 1 \end{array} \right) \sim \left( \begin{array}{ccc} \sqrt{5} - 3 & 0 & 2 - \sqrt{5} \\ 2 - 2\sqrt{5} & 0 & -3 + \sqrt{5} \\ 2 & 1 & \sqrt{5} + 1 \end{array} \right) \sim \left( \begin{array}{ccc} \sqrt{5} - 3 & 0 & 2 - \sqrt{5} \\ 2 & 1 & \sqrt{5} + 1 \end{array} \right) A − λ I = ⎝ ⎛ 5 − 1 2 2 1 5 1 1 2 5 − 1 ⎠ ⎞ ∼ ⎝ ⎛ 5 − 3 2 − 2 5 2 0 0 1 2 − 5 − 3 + 5 5 + 1 ⎠ ⎞ ∼ ( 5 − 3 2 0 1 2 − 5 5 + 1 )
Corresponding eigenvector equals to
v 2 = C 2 ( 1 − 5 , 2 − 2 5 , 4 ) v_2 = C_2(1 - \sqrt{5}, 2 - 2\sqrt{5}, 4) v 2 = C 2 ( 1 − 5 , 2 − 2 5 , 4 ) , where C 2 C_2 C 2 is a real constant, C 2 ≠ 0 C_2 \neq 0 C 2 = 0 .
For λ 3 = 3 + 5 \lambda_3 = 3 + \sqrt{5} λ 3 = 3 + 5 :
A − λ I = ( − 5 − 1 1 1 2 − 5 2 2 1 − 5 − 1 ) ∼ ( − 5 − 3 0 2 + 5 2 + 2 5 0 − 3 − 5 2 1 5 + 1 ) ∼ ( − 5 − 3 0 2 + 5 2 1 5 + 1 ) A - \lambda I = \left( \begin{array}{ccc} -\sqrt{5} - 1 & 1 & 1 \\ 2 & -\sqrt{5} & 2 \\ 2 & 1 & -\sqrt{5} - 1 \end{array} \right) \sim \left( \begin{array}{ccc} -\sqrt{5} - 3 & 0 & 2 + \sqrt{5} \\ 2 + 2\sqrt{5} & 0 & -3 - \sqrt{5} \\ 2 & 1 & \sqrt{5} + 1 \end{array} \right) \sim \left( \begin{array}{ccc} -\sqrt{5} - 3 & 0 & 2 + \sqrt{5} \\ 2 & 1 & \sqrt{5} + 1 \end{array} \right) A − λ I = ⎝ ⎛ − 5 − 1 2 2 1 − 5 1 1 2 − 5 − 1 ⎠ ⎞ ∼ ⎝ ⎛ − 5 − 3 2 + 2 5 2 0 0 1 2 + 5 − 3 − 5 5 + 1 ⎠ ⎞ ∼ ( − 5 − 3 2 0 1 2 + 5 5 + 1 )
Corresponding eigenvector equals to
v 3 = C 3 ( 1 + 5 , 2 + 2 5 , 4 ) , v_{3} = C_{3}\big(1 + \sqrt{5},2 + 2\sqrt{5},4\big), v 3 = C 3 ( 1 + 5 , 2 + 2 5 , 4 ) , where C 3 C_3 C 3 is a real constant, C 3 ≠ 0 C_3\neq 0 C 3 = 0 .