Correct Answer - Option 4 : 0
Concept:
We know that eigenvectors corresponding to distinct eigenvalues of a real symmetric matrix are also orthogonal.
⇒ X1.X2T = 0
Where X1 and X2 are the eigenvectors corresponding to distinct eigenvalues of a real symmetric matrix and X2T is the transpose of X2
Calculation:
Given:
\(X_{1}=\left[ {\begin{array}{*{20}{c}} {{x_1}}\\ {{x_2}}\\ {{x_3}} \end{array}} \right]\),\(X_{2}=\left[ {\begin{array}{*{20}{c}} {{y_1}}\\ {{y_2}}\\ {{y_3}} \end{array}} \right]\)
Using equation (1),
\(⇒ \left[ {\begin{array}{*{20}{c}} {{x_1}}&{{x_2}}&{{x_3}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}} {{y_1}}\\ {{y_2}}\\ {{y_3}} \end{array}} \right]=0\)
= x1y1 + x2y2 + x3y3 = 0
Note:
we know that dot product of two vectors is |a||b|cos(α) where |a| and |b| is the magnitude and α is the angle between them, hence its zero when α is 90 degree.