Step 1: Conceptual Foundation:
This inquiry assesses the criteria for consistency and solution types in a linear system \( AX = B \), where \( A \) is a square matrix. The determinant of \( A \), denoted \( |A| \), is pivotal.
Step 3: In-depth Analysis:
We shall examine the conditions governing the system of equations \( AX = B \).
Scenario 1: \( |A| eq 0 \) (Non-singular A)
When the determinant of the coefficient matrix is non-zero, \( A \) is invertible. The system possesses a unique solution defined by \( X = A^{-1}B \).
- Statement (B) asserts that the system has a unique solution when \( |A| eq 0 \). This is correct.
- Statement (A) posits that the system has a unique solution when \( |A| = 0 \). This is incorrect.
Scenario 2: \( |A| = 0 \) (Singular A)
A zero determinant implies that the system may have either no solution or infinitely many solutions. To differentiate, we compute \( (\text{adj} A)B \). The solution is derived from \( X = A^{-1}B = \frac{(\text{adj} A)B}{|A|} \).
If \( (\text{adj} A)B eq 0 \) (i.e., not the zero vector), the system is inconsistent and has no solution.
If \( (\text{adj} A)B = 0 \) (i.e., the zero vector), the system is consistent and has infinitely many solutions.
- Statement (C) indicates no solution when \( |A| = 0 \) and \( (\text{adj} A)B eq 0 \). This is correct.
- Statement (D) specifies infinitely many solutions when \( |A| = 0 \) and \( (\text{adj} A)B = 0 \). This is correct.
Step 4: Conclusion:
Statements (B), (C), and (D) are accurate. Consequently, the correct selection is (2).