Define the matrix \( A \) with elements. Let
\[ A = \begin{pmatrix} x_1 & y_1 & z_1 \\ x_2 & y_2 & z_2 \\ x_3 & y_3 & z_3 \end{pmatrix}. \]
Use the given conditions to form equations. Using the dot product notation for matrix multiplication, we have the following conditions:
From
\[ A \begin{pmatrix} 1 \\ 0 \\ 1 \end{pmatrix} = \begin{pmatrix} 2 \\ 0 \\ 1 \end{pmatrix} : \]
\[ (x_1 \ y_1 \ z_1) \cdot \begin{pmatrix} 1 \\ 0 \\ 1 \end{pmatrix} = 2, \quad (x_2 \ y_2 \ z_2) \cdot \begin{pmatrix} 1 \\ 0 \\ 1 \end{pmatrix} = 0, \quad (x_3 \ y_3 \ z_3) \cdot \begin{pmatrix} 1 \\ 0 \\ 1 \end{pmatrix} = 1. \]
Expanding each dot product:
\[ x_1 + z_1 = 2, \quad x_2 + z_2 = 0, \quad x_3 + z_3 = 1. \quad (1) \]
From
\[ A \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} = \begin{pmatrix} 4 \\ 0 \\ 1 \end{pmatrix} : \]
\[ (x_1 \ y_1 \ z_1) \cdot \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} = 4, \quad (x_2 \ y_2 \ z_2) \cdot \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} = 0, \quad (x_3 \ y_3 \ z_3) \cdot \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} = 1. \]
Expanding each dot product:
\[ x_1 + y_1 + z_1 = 4, \quad x_2 + y_2 + z_2 = 0, \quad x_3 + y_3 + z_3 = 1. \quad (2) \]
From
\[ A \begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix} = \begin{pmatrix} 2 \\ 1 \\ 0 \end{pmatrix} : \]
\[ (x_1 \ y_1 \ z_1) \cdot \begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix} = 2, \quad (x_2 \ y_2 \ z_2) \cdot \begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix} = 1, \quad (x_3 \ y_3 \ z_3) \cdot \begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix} = 0. \]
Expanding each dot product:
\[ y_1 + z_1 = 2, \quad y_2 + z_2 = 1, \quad y_3 + z_3 = 0. \quad (3) \]
Solve for elements of \( A \). Using equations (1), (2), and (3), we can solve for the individual elements of \( A \):
From equation (2): \( x_1 + y_1 + z_1 = 4 \) and \( y_1 + z_1 = 2 \) from equation (3). Substitute \( z_1 = 2 - y_1 \) into equation (1) to find \( x_1, y_1, z_1 \).
Similarly, solve for \( x_2, y_2, z_2 \) and \( x_3, y_3, z_3 \) to complete the matrix \( A \).
Set up the system:
\[ (A - 3I) \begin{pmatrix} x \\ y \\ z \end{pmatrix} = \begin{pmatrix} 1 \\ 2 \\ 3 \end{pmatrix}. \]
Now, calculate \( A - 3I \) and substitute to find the unique solution for the system.
Therefore, the answer is: unique solution.
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: \[ x - 2y = 10, \] \[ 2x - y - z = 8, \] \[ -2y + z = 7. \]
Let A be a 3 × 3 matrix such that \(\text{det}(A) = 5\). If \(\text{det}(3 \, \text{adj}(2A)) = 2^{\alpha \cdot 3^{\beta} \cdot 5^{\gamma}}\), then \( (\alpha + \beta + \gamma) \) is equal to: