To determine the determinant of a \(3 \times 3\) matrix \(A\) with rank 2, we must understand the relationship between the rank of a matrix and its determinant.
The rank of a matrix is the maximum number of linearly independent row vectors or column vectors in the matrix. For a matrix to have full rank, the rank must be equal to the smallest dimension \(n\) of the matrix. Here, the smallest dimension of a \(3 \times 3\) matrix is 3.
Given:
The determinant of a square matrix is zero if and only if the matrix is singular, i.e., it does not have full rank. For a \(3 \times 3\) matrix, having a full rank means a rank of 3. Since matrix \(A\) has rank 2 (i.e., not full rank for a \(3 \times 3\) matrix), it is singular.
When a matrix is singular, its determinant is always zero.
Therefore, the determinant of the matrix \(A\) is 0.
Conclusion: Since the rank of matrix \(A\) is less than its full rank, it is singular, and thus, the determinant is 0.
Correct Answer: 0
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