Step 1: Symmetric and Skew-Symmetric Matrix Properties
A matrix \( A \) is symmetric if \( A^T = A \).
A matrix \( A \) is skew-symmetric if \( A^T = -A \).
Step 2: Analyzing the Possibilities
For a matrix to be both symmetric and skew-symmetric, we must have \( A^T = A \) and \( A^T = -A \), which implies \( A = -A \).
Therefore, \( A \) must be the zero matrix, which is a null matrix.
Step 3: Conclusion
Thus, \( A \) is a null matrix.