Given the system:
\(\begin{vmatrix} 1 & 1 & 1 & : & 1 \\ 1 & 2 & 4 & : & \alpha \\ 1 & 4 & 10 & : & \alpha^2 \end{vmatrix}\)
Apply row operations:
\(R_2 \rightarrow R_2 - R_1,\quad R_3 \rightarrow R_3 - R_1\)
\(\begin{vmatrix} 1 & 1 & 1 & : & 1 \\ 0 & 1 & 3 & : & \alpha - 1 \\ 0 & 3 & 9 & : & \alpha^2 - 1 \end{vmatrix}\)
Now eliminate using \(R_3 \rightarrow R_3 - 3R_2\):
\(\begin{vmatrix} 1 & 1 & 1 & : & 1 \\ 0 & 1 & 3 & : & \alpha - 1 \\ 0 & 0 & 0 & : & \alpha^2 - 3\alpha + 2 \end{vmatrix}\)
For the system to be consistent, the last equation must satisfy:
\(\alpha^2 - 3\alpha + 2 = 0\)
Factorising:
\((\alpha - 1)(\alpha - 2) = 0\)
Hence,
\(\alpha = 1 \text{ or } 2\)
The numbers or functions that are kept in a matrix are termed the elements or the entries of the matrix.
The matrix acquired by interchanging the rows and columns of the parent matrix is termed the Transpose matrix. The definition of a transpose matrix goes as follows - “A Matrix which is devised by turning all the rows of a given matrix into columns and vice-versa.”