Concept:
A system of linear equations \( AX = B \) has a unique solution based on the determinant.
• The system has a unique solution if the coefficient matrix is non-singular.
• This requires the determinant \( |A| \) to be non-zero.
• If \( |A| = 0 \), the system has either no solution or infinite solutions.
Step 1: Setting up the coefficient matrix.
Extract the coefficients of \( x, y, \) and \( z \) from the equations.
\[
A = \begin{bmatrix}
1 & 1 & 1 \\
2 & 1 & -1 \\
3 & 2 & k
\end{bmatrix}
\]
Step 2: Calculating the determinant of \( A \).
Expand the determinant along the first row.
\[ |A| = 1(1(k) - (-1)(2)) - 1(2(k) - (-1)(3)) + 1(2(2) - 1(3)) \]
Simplify the terms inside the parentheses.
\[ |A| = (k + 2) - (2k + 3) + (4 - 3) \]
Combine the algebraic terms.
\[ |A| = k + 2 - 2k - 3 + 1 = -k \]
Step 3: Applying the uniqueness condition.
For a unique solution, we must have \( |A| \neq 0 \).
Substituting the calculated value: \( -k \neq 0 \).
This simplifies to \( k \neq 0 \).