Concept:
A square matrix is said to be singular if its determinant is zero. A singular matrix does not have an inverse.
Step 1: Write the given matrix:
\[
A=\begin{bmatrix}
1 & 2 & 3 \\
4 & 5 & 6 \\
7 & 8 & 9
\end{bmatrix}
\]
Step 2: Observe the rows of the matrix. The rows are not independent. We can see that:
\[
R_2-R_1 = [4-1,\;5-2,\;6-3]=[3,3,3]
\]
and
\[
R_3-R_2 = [7-4,\;8-5,\;9-6]=[3,3,3]
\]
Step 3: Since the row differences are the same, the rows are linearly dependent.
Step 4: If rows of a square matrix are linearly dependent, then determinant of the matrix is zero.
\[
|A|=0
\]
Step 5: A matrix whose determinant is zero is called a singular matrix.
\[
\boxed{\text{The matrix is singular}}
\]