To find the value of \(|A|\) for the matrix \(A\) given the equation \(A^3 = 4A^2\), we can follow these steps:
Since \(A\) is a non-singular square matrix, it implies that the determinant \(|A| \neq 0\). Given the equation:
\(A^3 = 4A^2\)
We can factor out \(A^2\) from both sides (since \(A^2\) is non-zero as A is non-singular):
\(A^2(A - 4I) = 0\)
Since \(A\) is non-singular, \(|A| \neq 0\), which implies that \(|A - 4I| = 0\). Here, \(I\) is the identity matrix of order 3.
This means that 4 is an eigenvalue of \(A\). If one eigenvalue of \(A\) is 4, and since the determinant \(|A|\) is the product of its eigenvalues, \(|A| = 4 \cdot 4 \cdot 4 = 4^3\).
Therefore,
|A| = 64
Thus, the value of \(|A|\) is 64.
If \[ A = \begin{bmatrix} 1 & 2 & 0 \\ -2 & -1 & -2 \\ 0 & -1 & 1 \end{bmatrix} \] then find \( A^{-1} \). Hence, solve the system of linear equations: \[ x - 2y = 10, \] \[ 2x - y - z = 8, \] \[ -2y + z = 7. \]
What comes next in the series?
\(2, 6, 12, 20, 30, \ ?\)