Correct Answer - Option 2 :
\(1.55 \ \rm and \ \left\lbrace \begin{matrix} 2.00 \\\ 0.45 \end{matrix} \right\rbrace\)
Explanation:
Eigenvector (X) that corresponding to Eigenvalue (λ) satisfies the equation AX = λX.
Determining eigenvalues first by characteristic Equation
Given matrix A = \(\begin{bmatrix} 2 & -2 \\\ -1 & 6 \end{bmatrix}\)
The characteristic equation for the given matrix is
|A - λI| = 0
\(M = \left| {\begin{array}{*{20}{c}} {2 - λ }&-2\\ -1&{6 - λ } \end{array}} \right| = 0\)
⇒ (2 - λ) × (6 - λ) - (-2)(-1) = 0
⇒ 12 - 2 λ - 6 λ + λ2 - 2 = 0
⇒ λ2 - 8λ + 10 = 0
\(λ = \frac{{ - 8 \pm √ {64 - 40} }}{2} = \frac{{ - 8 \pm √ {24} }}{2} = 4 \pm √ 6 \)
⇒ λ = 4 + √6 , 4 - √6
∴ Eigen values are 4 + √6 & 4 - √6
Smallest Eigen Value = 4 - √6 = 1.55
Now Determining Eigenvectors corresponding to the eigenvalue λ = 1.55.
For λ = 1.55 The corresponding Eigenvector is
\(\left[ {\begin{array}{*{20}{c}} {2 - 1.55}&-2\\ -1&{6 - 1.55} \end{array}} \right]\left[ {\begin{array}{*{20}{c}} {{x_1}}\\ {{x_2}} \end{array}} \right] = \;\left[ {\begin{array}{*{20}{c}} 0\\ 0 \end{array}} \right]\)
\(\left[ {\begin{array}{*{20}{c}} {0.45}&-2\\ -1&{4.45} \end{array}} \right]\left[ {\begin{array}{*{20}{c}} {{x_1}}\\ {{x_2}} \end{array}} \right] = \;\left[ {\begin{array}{*{20}{c}} 0\\ 0 \end{array}} \right]\)
0.45 x1 - 2 x2 = 0 -- (1)
-x1 + 4.45 x2 = 0 -- (2)
Solving (1) and (2) we get.
x1 = 2 & x2 = 0.45
∴ The eigenvector corresponding to 1.55 is \(\left[ {\begin{array}{*{20}{c}} { 2}\\ 0.45 \end{array}} \right]\)