Concept:
A set of three vectors in \(\mathbb R^3\) forms a basis if and only if the vectors are linearly independent.
For three vectors arranged as rows (or columns) of a matrix, linear independence is determined by the determinant.
\[
\det(A)\neq 0
\]
implies the vectors form a basis, while
\[
\det(A)=0
\]
implies the vectors are linearly dependent and hence do not form a basis.
Therefore, we compute the determinant and impose the condition that it must be zero.
Step 1: Form the matrix using the given vectors.
\[
A=
\begin{bmatrix}
2 & -3 & 5 \\
1 & \alpha & 7\\
3 & \beta & 3
\end{bmatrix}
\]
Since the vectors are not a basis,
\[
|A|=0.
\]
Step 2: Evaluate the determinant.
Expanding along the first row,
\[
|A|
=
2
\begin{vmatrix}
\alpha & 7 \\
\beta & 3
\end{vmatrix}
+3
\begin{vmatrix}
1 & 7 \\
3 & 3
\end{vmatrix}
+5
\begin{vmatrix}
1 & \alpha \\
3 & \beta
\end{vmatrix}.
\]
\[
=
2(3\alpha-7\beta)
+3(3-21)
+5(\beta-3\alpha).
\]
\[
=
6\alpha-14\beta-54+5\beta-15\alpha.
\]
\[
=
-9\alpha-9\beta-54.
\]
\[
|A|
=
-9(\alpha+\beta+6).
\]
Step 3: Use the condition for non-basis.
\[
-9(\alpha+\beta+6)=0.
\]
Hence,
\[
\alpha+\beta+6=0.
\]
Replacing \((\alpha,\beta)\) by \((x,y)\),
\[
x+y+6=0.
\]