What is the determinant of the coefficient matrix of the system

ANSWER
The determinant is 0
EXPLANATION (METHOD 1)
This method involves expanding along any column.
For an n×n matrix A, the determinant of A, det(A), can be obtained by expanding along the kth column:
[tex] \det(A) = a_{1k} C_{1k} + a_{2k} C_{2k} + \ldots + a_{nk} C_{nk} [/tex]
where [tex] a_{k1} [/tex] is the entry of A in the kth row, 1st column, [tex] a_{k2} [/tex] is the entry of A in the kth row, 2nd column, etc., and [tex] C_{kn} [/tex] is the kn cofactor of A, defined as [tex] C_{kn} = (-1)^{k+n} M_{kn} [/tex].
But we do not need to care about the cofactors as all the 2nd column entries are
a₁₂ = a₂₂ = a₃₂ = 0
We would end up with
[tex]\begin{aligned} \det\left(\begin{bmatrix} \bf -3 & \bf 0 & \bf -2\\ 9 & 0 & 5 \\ 6 & 0 & -12 \end{bmatrix}\right) &= (0) C_{12} + (0)C_{22} + (0)C_{32} \\ &= 0 \end{aligned}[/tex]
EXPLANATION (METHOD 2)|
This method involves expanding along a row
For an n×n matrix A, the determinant of A, det(A), can be obtained by expanding along the kth row:
[tex] \det(A) = a_{k1} C_{k1} + a_{k2} C_{k2} + \ldots + a_{kn} C_{kn} [/tex]
where [tex] a_{k1} [/tex] is the entry of A in the kth row, 1st column, [tex] a_{k2} [/tex] is the entry of A in the kth row, 2nd column, etc., and [tex] C_{kn} [/tex] is the kn cofactor of A, defined as [tex] C_{kn} = (-1)^{k+n} M_{kn} [/tex].
[tex] M_{kn} [/tex] is the kn minor, obtained by getting the determinant of the matrix which is the matrix A with row k and column n deleted.
Applying this here, we can expand along the 1st row.
For convenience, let G be the coefficient matrix of this question, which is
[tex] G=\begin{bmatrix}
\bf -3 & \bf 0 & \bf -2\\
9 & 0 & 5 \\
6 & 0 & -12
\end{bmatrix} [/tex]
with the first row bolded.
The determinant is therefore
[tex] \begin{aligned}
\text{det}(G) &= g_{11}C_{11} + g_{12}C_{12} + g_{13}C_{13}
\end{aligned} [/tex]
Note that g₁₁ is the matrix element of G that is in the 1st row, 1st column, g₁₂ is the matrix element of G that is in the 1st row, 2nd column, etc. Then we have
[tex] \begin{aligned}
\text{det}(G) &= g_{11}(-1)^{1+1}M_{11} + g_{12}(-1)^{1+2}M_{12} + g_{13}(-1)^{1+3}M_{13} \\
&= g_{11} M_{11} - g_{12}M_{12} + g_{13}M_{13}
\end{aligned} [/tex]
M₁₁ is the determinant of the matrix that is matrix G with row 1 and column 1 removed. The bold entires are the row and the column we delete.
[tex] \begin{aligned}
G=\begin{bmatrix}
\bf -3 & \bf 0 & \bf -2\\
\bf 9 & 0 & 5 \\
\bf 6 & 0 & -12
\end{bmatrix} \implies M_{11} &= \text{det}\left(\begin{bmatrix}
0&5 \\
0&-12
\end{bmatrix} \right)
\end{aligned} [/tex]
The determinant of a 2×2 matrix is
[tex]\det\left(
\begin{bmatrix}
a & b \\
c& d
\end{bmatrix}
\right) = ad-bc [/tex]
so it follows that
[tex] \begin{aligned}
G=\begin{bmatrix}
\bf -3 & \bf 0 & \bf -2\\
\bf 9 & 0 & 5 \\
\bf 6 & 0 & -12
\end{bmatrix} \implies M_{11} &= \det\left(\begin{bmatrix}
0&5 \\
0&-12
\end{bmatrix} \right) \\
&= (0)(-12) - (5)(0) \\
&= 0
\end{aligned} [/tex]
Applying the same for M₁₂ and M₁₃, we have
[tex] \begin{aligned}
G=\begin{bmatrix}
\bf -3 & \bf 0 & \bf -2\\
9 & \bf 0 & 5 \\
6 & \bf 0 & -12
\end{bmatrix} \implies M_{12} &= \det\left(\begin{bmatrix}
9&5 \\
6&-12
\end{bmatrix} \right) \\
&= (9)(-12) - (5)(6) \\
&= -138
\end{aligned} [/tex]
and
[tex] \begin{aligned}
G=\begin{bmatrix}
\bf -3 & \bf 0 & \bf -2\\
9 & 0 & \bf 5 \\
6 & 0 & \bf -12
\end{bmatrix} \implies M_{13} &= \det\left(\begin{bmatrix}
9&0\\
6&0
\end{bmatrix} \right) \\
&= (9)(0) - (0)(6) \\
&= 0
\end{aligned} [/tex]
so therefore
[tex] \begin{aligned}
\text{det}(G)
&= g_{11} M_{11} - g_{12}M_{12} + g_{13}M_{13} \\
&= (-3)(0) - (0)(-138) + (-2)(0) \\
&= 0
\end{aligned} [/tex]