Step 1: Definition of symmetric matrix.
A matrix \( A \) is symmetric if \( A^T = A \), i.e., the transpose of \( A \) is equal to \( A \).
Step 2: Definition of skew-symmetric matrix.
A matrix \( A \) is skew-symmetric if \( A^T = -A \), i.e., the transpose of \( A \) is equal to the negative of \( A \).
Step 3: Combining the properties.
If \( A \) is both symmetric and skew-symmetric, then: \[ A^T = A \quad \text{and} \quad A^T = -A \] Equating the two, we get: \[ A = -A \] This implies that \( 2A = 0 \), or \( A = 0 \).
Conclusion:
Thus, the statement is True.
If A and B are two n times n non-singular matrices, then