Concept:
A system of three linear equations in two variables is said to be consistent if all three lines intersect at a common point. For this to happen, the determinant of the augmented matrix (using the coefficients and the constants) must be equal to zero. If the lines are represented as \( a_i x + b_i y + c_i = 0 \), the condition for consistency is:
\[ \begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} = 0 \]
Step 1: Set up the determinant for consistency.
Rewrite the equations in the form \( ax + by + c = 0 \):
1. \( \lambda x - y - 2 = 0 \)
2. \( 2x - 3y + \lambda = 0 \)
3. \( 3x - 2y + 1 = 0 \)
The determinant is:
\[ \begin{vmatrix} \lambda & -1 & -2 \\ 2 & -3 & \lambda 3 & -2 & 1 \end{vmatrix} = 0 \]
Step 2: Expand the determinant to form a quadratic equation in \( \lambda \).
Expanding along the first row:
\[ \lambda[(-3)(1) - (\lambda)(-2)] - (-1)[(2)(1) - (\lambda)(3)] + (-2)[(2)(-2) - (-3)(3)] = 0 \]
\[ \lambda[-3 + 2\lambda] + 1[2 - 3\lambda] - 2[-4 + 9] = 0 \]
\[ 2\lambda^2 - 3\lambda + 2 - 3\lambda - 2(5) = 0 \]
\[ 2\lambda^2 - 6\lambda - 8 = 0 \]
Step 3: Solve for \( \lambda \).
Divide the entire equation by 2:
\[ \lambda^2 - 3\lambda - 4 = 0 \]
Factoring the quadratic:
\[ (\lambda - 4)(\lambda + 1) = 0 \]
\[ \lambda = 4, \, -1 \]