Concept:
Any square matrix $A$ can be written as:
\[
A = \frac{1}{2}(A + A^T) + \frac{1}{2}(A - A^T)
\]
where:
- $\frac{1}{2}(A + A^T)$ is symmetric
- $\frac{1}{2}(A - A^T)$ is skew-symmetric
Step 1: {Find transpose of $A$.}
\[
A^T = \begin{bmatrix}
2 & -1 & 1 \\
-2 & 3 & -2 \\
-4 & 4 & -3
\end{bmatrix}
\]
Step 2: {Compute symmetric part.}
\[
A + A^T =
\begin{bmatrix}
4 & -3 & -3 \\
-3 & 6 & 2 \\
-3 & 2 & -6
\end{bmatrix}
\]
\[
\frac{1}{2}(A + A^T) =
\begin{bmatrix}
2 & -\frac{3}{2} & -\frac{3}{2} \\
-\frac{3}{2} & 3 & 1 \\
-\frac{3}{2} & 1 & -3
\end{bmatrix}
\]
Step 3: {Compute skew-symmetric part.}
\[
A - A^T =
\begin{bmatrix}
0 & -1 & -5 \\
1 & 0 & 6 \\
5 & -6 & 0
\end{bmatrix}
\]
\[
\frac{1}{2}(A - A^T) =
\begin{bmatrix}
0 & -\frac{1}{2} & -\frac{5}{2 }\\
\frac{1}{2} & 0 & 3 \\
\frac{5}{2} & -3 & 0
\end{bmatrix}
\]
Step 4: {Final expression.}
\[
A =
\begin{bmatrix}
2 & -\frac{3}{2} & -\frac{3}{2}\\
-\frac{3}{2} & 3 & 1 \\
-\frac{3}{2} & 1 & -3
\end{bmatrix}
+
\begin{bmatrix}
0 & -\frac{1}{2} & -\frac{5}{2 }\\
\frac{1}{2} & 0 & 3 \\
\frac{5}{2} & -3 & 0
\end{bmatrix}
\]
Step 5: }
Conclusion.}
Thus, $A$ is expressed as the sum of a symmetric and a skew-symmetric matrix.