Concept:
A matrix \( M \) is said to be symmetric if it equals its own transpose, meaning \( M' = M \). Conversely, it is skew-symmetric if \( M' = -M \). An essential property of matrix transposes is the reversal rule for products: \( (XYZ)' = Z'Y'X' \).
Step 1: State the given mathematical properties.
We are given that \( A \) is a symmetric matrix. By definition:
\[
A' = A
\]
We want to determine the nature of the expression matrix \( X = BAB' \).
Step 2: Take the transpose of the matrix expression \( BAB' \).
Let \( X = BAB' \). To find whether it is symmetric or skew-symmetric, let us evaluate its transpose \( X' \):
\[
X' = (BAB')'
\]
Applying the reversal law of transpose operation for multiple matrices, \( (PQR)' = R'Q'P' \), we get:
\[
X' = (B')' \cdot A' \cdot B'
\]
Step 3: Simplify the expression using transpose rules.
We know that the double transpose of any matrix returns the original matrix itself, i.e., \( (B')' = B \). Substituting this and \( A' = A \) back into the expression:
\[
X' = B \cdot A \cdot B'
\]
Notice that this resulting expression is exactly the matrix \( X \) we started with:
\[
X' = BAB' = X
\]
Step 4: Draw conclusion.
Since taking the transpose of \( BAB' \) gives back the original matrix \( BAB' \) unaltered, the matrix \( BAB' \) is conclusively a symmetric matrix.