Step 1: Definition of symmetric and skew-symmetric matrices.
A matrix \( M \) is symmetric if \( M = M^T \) and skew-symmetric if \( M = -M^T \).
Step 2: Decompose the matrix.
Let \( A \) be the given matrix:
\[
A = \begin{bmatrix}
7 & 0 & 3 \\
2 & 4 & 1 \\
-5 & 6 & 8
\end{bmatrix}
\]
We decompose \( A \) into the sum of a symmetric matrix \( S \) and a skew-symmetric matrix \( K \):
\[
A = S + K
\]
where:
\[
S = \frac{1}{2}(A + A^T), \quad K = \frac{1}{2}(A - A^T)
\]
Step 3: Calculate \( S \) and \( K \).
First, find the transpose of \( A \):
\[
A^T = \begin{bmatrix}
7 & 2 & -5 \\
0 & 4 & 6 \\
3 & 1 & 8
\end{bmatrix}
\]
Now, calculate \( S \):
\[
S = \frac{1}{2}\left(
\begin{bmatrix}
7 & 0 & 3 \\
2 & 4 & 1 \\
-5 & 6 & 8
\end{bmatrix}
+
\begin{bmatrix}
7 & 2 & -5 \\
0 & 4 & 6 \\
3 & 1 & 8
\end{bmatrix}
\right)
\]
\[
S = \frac{1}{2}
\begin{bmatrix}
14 & 2 & -2 \\
2 & 8 & 7 \\
-2 & 7 & 16
\end{bmatrix}
=
\begin{bmatrix}
7 & 1 & -1 \\
1 & 4 & \frac{7}{2} \\
-1 & \frac{7}{2} & 8
\end{bmatrix}
\]
Next, calculate \( K \):
\[
K = \frac{1}{2}\left(
\begin{bmatrix}
7 & 0 & 3 \\
2 & 4 & 1 \\
-5 & 6 & 8
\end{bmatrix}
-
\begin{bmatrix}
7 & 2 & -5 \\
0 & 4 & 6 \\
3 & 1 & 8
\end{bmatrix}
\right)
\]
\[
K = \frac{1}{2}
\begin{bmatrix}
0 & -2 & 8 \\
2 & 0 & -5 \\
-8 & 5 & 0
\end{bmatrix}
=
\begin{bmatrix}
0 & -1 & 4 \\
1 & 0 & -\frac{5}{2} \\
-4 & \frac{5}{2} & 0
\end{bmatrix}
\]
Step 4: Conclusion.
Thus, the matrix \( A \) can be expressed as the sum of a symmetric matrix \( S \) and a skew-symmetric matrix \( K \):
\[
A =
\begin{bmatrix}
7 & 1 & -1 \\
1 & 4 & \frac{7}{2} \\
-1 & \frac{7}{2} & 8
\end{bmatrix}
+
\begin{bmatrix}
0 & -1 & 4 \\
1 & 0 & -\frac{5}{2} \\
-4 & \frac{5}{2} & 0
\end{bmatrix}
\]