Step 1: Use the cofactor expansion property.
We know that the sum
\[
a_{i1}A_{i1} + a_{i2}A_{i2} + a_{i3}A_{i3}
\]
gives the determinant of matrix \( A \) when expanded along the \( i \)-th row.
Step 2: Identify the row.
Here, the expansion is along the second row. Hence,
\[
a_{21}A_{21} + a_{22}A_{22} + a_{23}A_{23} = \det(A)
\]
Step 3: Compute the determinant of \( A \).
\[
\det(A) =
\begin{vmatrix}
1 & 0 & 2 \\
2 & 1 & 3 \\
0 & 3 & -5
\end{vmatrix}
\]
Expanding along the first row,
\[
= 1
\begin{vmatrix}
1 & 3 \\
3 & -5
\end{vmatrix}
- 0
+ 2
\begin{vmatrix}
2 & 1 \\
0 & 3
\end{vmatrix}
\]
Step 4: Evaluate the minors.
\[
= 1(1\cdot(-5) - 3\cdot3) + 2(2\cdot3 - 0)
\]
\[
= 1(-5 - 9) + 2(6)
\]
\[
= -14 + 12 = -2
\]
Step 5: Conclusion.
Hence,
\[
a_{21}A_{21} + a_{22}A_{22} + a_{23}A_{23} = -2
\]