Step 1: Understanding symmetric and skew-symmetric matrices.
A matrix is symmetric if \( A = A^T \), meaning the matrix is equal to its transpose. A matrix is skew-symmetric if \( A = -A^T \), meaning the matrix is equal to the negative of its transpose.
Step 2: Finding the matrix that satisfies both conditions.
The only matrix that satisfies both symmetric and skew-symmetric properties is the null matrix, because:
\[
0 = 0^T \quad \text{(symmetric)} \quad \text{and} \quad 0 = -0^T \quad \text{(skew-symmetric)}.
\]
Thus, the null matrix is both symmetric and skew-symmetric.