When working with matrix expressions involving products, it’s essential to understand how transposition interacts with multiplication. In the case of symmetric matrices, the key property \(A^T = A\) and \(B^T = B\) helps simplify complex matrix expressions. By taking the transpose of \(AB - BA\), we can identify whether the result is symmetric or skew-symmetric based on the behavior of its transpose. A result of \( (AB - BA)^T = -(AB - BA) \) directly indicates that the matrix is skew-symmetric.
To determine the nature of \(AB - BA\), let’s use the properties of symmetric and skew-symmetric matrices.
Symmetric Matrix Property: A matrix \(M\) is symmetric if \(M^T = M\).
Since \(A\) and \(B\) are symmetric matrices, we know \(A^T = A\) and \(B^T = B\).
Now, consider \((AB - BA)^T\):
\[ (AB - BA)^T = B^T A^T - A^T B^T \]
Since \(A^T = A\) and \(B^T = B\), this becomes:
\[ (AB - BA)^T = BA - AB = -(AB - BA) \]
This result implies that \(AB - BA\) is a skew-symmetric matrix, as \((AB - BA)^T = -(AB - BA)\).
Thus, \(AB - BA\) is skew-symmetric.
To determine the nature of \(AB - BA\), let’s explore the properties of symmetric and skew-symmetric matrices in detail.
Symmetric Matrix Property: A matrix \(M\) is said to be symmetric if it satisfies the condition \(M^T = M\), where \(M^T\) is the transpose of matrix \(M\). In other words, a symmetric matrix remains unchanged when its rows are swapped with its columns.
Given that both matrices \(A\) and \(B\) are symmetric, we know from the definition that:
\[ A^T = A \quad \text{and} \quad B^T = B \]
This property is crucial for understanding how the matrix expression \(AB - BA\) behaves when we compute its transpose.
Step 1: Take the transpose of the expression \(AB - BA\):
Consider the transpose of \(AB - BA\), which is denoted by \((AB - BA)^T\). Using the property of transposition, we get:
\[ (AB - BA)^T = B^T A^T - A^T B^T \]
Step 2: Apply the symmetry properties of \(A\) and \(B\):
Since both \(A\) and \(B\) are symmetric matrices, we know that \(A^T = A\) and \(B^T = B\). Substituting these into the equation, we get:
\[ (AB - BA)^T = BA - AB \]
This simplifies to:
\[ (AB - BA)^T = -(AB - BA) \]
Step 3: Interpret the result:
The result \((AB - BA)^T = -(AB - BA)\) implies that \(AB - BA\) is a skew-symmetric matrix. By definition, a matrix is skew-symmetric if its transpose equals the negative of the matrix itself. In other words, a matrix \(M\) is skew-symmetric if \(M^T = -M\), which is exactly the case here.
Conclusion: Therefore, based on the transposition and the properties of symmetric matrices, we conclude that \(AB - BA\) is a skew-symmetric matrix.
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