Concept:
A square matrix \( M \) is symmetric if \( M' = M \) (where \( M' \) denotes the transpose of \( M \)) and skew-symmetric if \( M' = -M \). Important properties of transposes used here include:
• \( (X + Y)' = X' + Y' \)
• \( (XY)' = Y'X' \)
• \( (X')' = X \)
Step 1: Apply the given conditions for matrices A and B.
Since \( A \) and \( B \) are skew-symmetric matrices, by definition we have:
\[
A' = -A \quad \text{and} \quad B' = -B
\]
Step 2: Take the transpose of the given matrix expression.
Let the given matrix expression be denoted by \( P \):
\[
P = AB' + BA'
\]
Taking the transpose on both sides:
\[
P' = (AB' + BA')'
\]
Using the sum property of transposes:
\[
P' = (AB')' + (BA')'
\]
Step 3: Apply the reversal law of transposes.
Using the property \( (XY)' = Y'X' \):
\[
P' = (B')'A' + (A')'B'
\]
Since the transpose of a transpose returns the original matrix (\( (X')' = X \)):
\[
P' = BA' + AB'
\]
Step 4: Use commutativity of matrix addition to compare with the original matrix.
By rearranging the terms using matrix addition commutativity:
\[
P' = AB' + BA' = P
\]
Since \( P' = P \), the matrix \( AB' + BA' \) is a symmetric matrix. This corresponds to option (A).