Use determinant properties for adjugate matrices
For an n × n n \times n n × n matrix M M M ,
det ( adj ( M ) ) = ( det M ) n − 1 . \det(\operatorname{adj}(M)) = (\det M)^{n-1}. det ( adj ( M )) = ( det M ) n − 1 .
Here the matrix is 3 × 3 3 \times 3 3 × 3 , so
det ( adj ( M ) ) = ( det M ) 2 . \det(\operatorname{adj}(M)) = (\det M)^2. det ( adj ( M )) = ( det M ) 2 .
Apply this twice:
If N = adj ( 3 A ) N = \operatorname{adj}(3A) N = adj ( 3 A ) , then
det ( adj ( adj ( 3 A ) ) ) = ( det ( adj ( 3 A ) ) ) 2 . \det(\operatorname{adj}(\operatorname{adj}(3A))) = (\det(\operatorname{adj}(3A)))^2. det ( adj ( adj ( 3 A ))) = ( det ( adj ( 3 A )) ) 2 .
Also,
det ( adj ( 3 A ) ) = ( det ( 3 A ) ) 2 . \det(\operatorname{adj}(3A)) = (\det(3A))^2. det ( adj ( 3 A )) = ( det ( 3 A ) ) 2 .
Hence,
det ( adj ( adj ( 3 A ) ) ) = ( ( det ( 3 A ) ) 2 ) 2 = ( det ( 3 A ) ) 4 . \det(\operatorname{adj}(\operatorname{adj}(3A))) = ((\det(3A))^2)^2 = (\det(3A))^4. det ( adj ( adj ( 3 A ))) = (( det ( 3 A ) ) 2 ) 2 = ( det ( 3 A ) ) 4 .
So we only need det ( 3 A ) \det(3A) det ( 3 A ) .
First compute det ( A ) \det(A) det ( A )
Given
A = [ 2 2 + p 2 + p + q 4 6 + 2 p 8 + 3 p + 2 q 6 12 + 3 p 20 + 6 p + 3 q ] . A = \begin{bmatrix}
2 & 2+p & 2+p+q \\
4 & 6+2p & 8+3p+2q \\
6 & 12+3p & 20+6p+3q
\end{bmatrix}. A = 2 4 6 2 + p 6 + 2 p 12 + 3 p 2 + p + q 8 + 3 p + 2 q 20 + 6 p + 3 q .
Let the columns be C 1 , C 2 , C 3 C_1, C_2, C_3 C 1 , C 2 , C 3 .
Then
C 1 = [ 2 4 6 ] , C 2 = [ 2 + p 6 + 2 p 12 + 3 p ] , C 3 = [ 2 + p + q 8 + 3 p + 2 q 20 + 6 p + 3 q ] . C_1 = \begin{bmatrix}2\\4\\6\end{bmatrix},
\quad
C_2 = \begin{bmatrix}2+p\\6+2p\\12+3p\end{bmatrix},
\quad
C_3 = \begin{bmatrix}2+p+q\\8+3p+2q\\20+6p+3q\end{bmatrix}. C 1 = 2 4 6 , C 2 = 2 + p 6 + 2 p 12 + 3 p , C 3 = 2 + p + q 8 + 3 p + 2 q 20 + 6 p + 3 q .
Now perform column operations that do not change determinant:
C 2 → C 2 − C 1 , C 3 → C 3 − C 2 . C_2 \to C_2 - C_1,
\qquad
C_3 \to C_3 - C_2. C 2 → C 2 − C 1 , C 3 → C 3 − C 2 .
Compute them:
C 2 − C 1 = [ p 2 + 2 p 6 + 3 p ] , C_2 - C_1 = \begin{bmatrix}p\\2+2p\\6+3p\end{bmatrix}, C 2 − C 1 = p 2 + 2 p 6 + 3 p ,
C 3 − C 2 = [ q 2 + p + 2 q 8 + 3 p + 3 q ] . C_3 - C_2 = \begin{bmatrix}q\\2+p+2q\\8+3p+3q\end{bmatrix}. C 3 − C 2 = q 2 + p + 2 q 8 + 3 p + 3 q .
So
det ( A ) = ∣ 2 p q 4 2 + 2 p 2 + p + 2 q 6 6 + 3 p 8 + 3 p + 3 q ∣ . \det(A)=
\begin{vmatrix}
2 & p & q \\
4 & 2+2p & 2+p+2q \\
6 & 6+3p & 8+3p+3q
\end{vmatrix}. det ( A ) = 2 4 6 p 2 + 2 p 6 + 3 p q 2 + p + 2 q 8 + 3 p + 3 q .
Now do row operations:
R 2 → R 2 − 2 R 1 , R 3 → R 3 − 3 R 1 . R_2 \to R_2 - 2R_1,
\qquad
R_3 \to R_3 - 3R_1. R 2 → R 2 − 2 R 1 , R 3 → R 3 − 3 R 1 .
Then
R 2 = [ 0 , 2 , 2 + p ] , R 3 = [ 0 , 6 , 8 + 3 q ] . R_2 = [0,2,2+p],
\qquad
R_3 = [0,6,8+3q]. R 2 = [ 0 , 2 , 2 + p ] , R 3 = [ 0 , 6 , 8 + 3 q ] .
Thus
det ( A ) = ∣ 2 p q 0 2 2 + p 0 6 8 + 3 q ∣ . \det(A)=
\begin{vmatrix}
2 & p & q \\
0 & 2 & 2+p \\
0 & 6 & 8+3q
\end{vmatrix}. det ( A ) = 2 0 0 p 2 6 q 2 + p 8 + 3 q .
Expand along the first column:
det ( A ) = 2 ∣ 2 2 + p 6 8 + 3 q ∣ . \det(A)=2\begin{vmatrix}2 & 2+p\\6 & 8+3q\end{vmatrix}. det ( A ) = 2 2 6 2 + p 8 + 3 q .
Now,
∣ 2 2 + p 6 8 + 3 q ∣ = 2 ( 8 + 3 q ) − 6 ( 2 + p ) = 16 + 6 q − 12 − 6 p = 4 + 6 q − 6 p . \begin{vmatrix}2 & 2+p\\6 & 8+3q\end{vmatrix}
=2(8+3q)-6(2+p)
=16+6q-12-6p
=4+6q-6p. 2 6 2 + p 8 + 3 q = 2 ( 8 + 3 q ) − 6 ( 2 + p ) = 16 + 6 q − 12 − 6 p = 4 + 6 q − 6 p .
So,
det ( A ) = 2 ( 4 + 6 q − 6 p ) = 8 + 12 q − 12 p . \det(A)=2(4+6q-6p)=8+12q-12p. det ( A ) = 2 ( 4 + 6 q − 6 p ) = 8 + 12 q − 12 p .
But this still depends on p , q p,q p , q , which suggests we should re-check the simplification carefully.
Better simplification using row structure
Let us instead use row operations directly on the original matrix:
R 2 → R 2 − 2 R 1 , R 3 → R 3 − 3 R 1 . R_2 \to R_2 - 2R_1,
\qquad
R_3 \to R_3 - 3R_1. R 2 → R 2 − 2 R 1 , R 3 → R 3 − 3 R 1 .
From the original matrix,
R 2 − 2 R 1 = [ 4 , 6 + 2 p , 8 + 3 p + 2 q ] − 2 [ 2 , 2 + p , 2 + p + q ] R_2 - 2R_1 = [4,6+2p,8+3p+2q] - 2[2,2+p,2+p+q] R 2 − 2 R 1 = [ 4 , 6 + 2 p , 8 + 3 p + 2 q ] − 2 [ 2 , 2 + p , 2 + p + q ]
= [ 0 , 2 , p + 4 ] , = [0,2,p+4], = [ 0 , 2 , p + 4 ] ,
and
R 3 − 3 R 1 = [ 6 , 12 + 3 p , 20 + 6 p + 3 q ] − 3 [ 2 , 2 + p , 2 + p + q ] R_3 - 3R_1 = [6,12+3p,20+6p+3q] - 3[2,2+p,2+p+q] R 3 − 3 R 1 = [ 6 , 12 + 3 p , 20 + 6 p + 3 q ] − 3 [ 2 , 2 + p , 2 + p + q ]
= [ 0 , 6 , 14 + 3 p ] . = [0,6,14+3p]. = [ 0 , 6 , 14 + 3 p ] .
Hence,
det ( A ) = ∣ 2 2 + p 2 + p + q 0 2 p + 4 0 6 14 + 3 p ∣ . \det(A)=
\begin{vmatrix}
2 & 2+p & 2+p+q \\
0 & 2 & p+4 \\
0 & 6 & 14+3p
\end{vmatrix}. det ( A ) = 2 0 0 2 + p 2 6 2 + p + q p + 4 14 + 3 p .
Expand along first column:
det ( A ) = 2 ∣ 2 p + 4 6 14 + 3 p ∣ . \det(A)=2\begin{vmatrix}2 & p+4\\6 & 14+3p\end{vmatrix}. det ( A ) = 2 2 6 p + 4 14 + 3 p .
Now,
∣ 2 p + 4 6 14 + 3 p ∣ = 2 ( 14 + 3 p ) − 6 ( p + 4 ) = 28 + 6 p − 6 p − 24 = 4. \begin{vmatrix}2 & p+4\\6 & 14+3p\end{vmatrix}
=2(14+3p)-6(p+4)
=28+6p-6p-24=4. 2 6 p + 4 14 + 3 p = 2 ( 14 + 3 p ) − 6 ( p + 4 ) = 28 + 6 p − 6 p − 24 = 4.
Therefore,
det ( A ) = 2 ⋅ 4 = 8. \det(A)=2\cdot 4=8. det ( A ) = 2 ⋅ 4 = 8.
So,
det ( 3 A ) = 3 3 det ( A ) = 27 ⋅ 8 = 216 = 2 3 ⋅ 3 3 . \det(3A)=3^3\det(A)=27\cdot 8=216=2^3\cdot 3^3. det ( 3 A ) = 3 3 det ( A ) = 27 ⋅ 8 = 216 = 2 3 ⋅ 3 3 .
Now compute the required determinant
As found earlier,
det ( adj ( adj ( 3 A ) ) ) = ( det ( 3 A ) ) 4 . \det(\operatorname{adj}(\operatorname{adj}(3A)))=(\det(3A))^4. det ( adj ( adj ( 3 A ))) = ( det ( 3 A ) ) 4 .
Thus,
( 216 ) 4 = ( 2 3 ⋅ 3 3 ) 4 = 2 12 ⋅ 3 12 . (216)^4=(2^3\cdot 3^3)^4=2^{12}\cdot 3^{12}. ( 216 ) 4 = ( 2 3 ⋅ 3 3 ) 4 = 2 12 ⋅ 3 12 .
So,
m = 12 , n = 12. m=12,\qquad n=12. m = 12 , n = 12.
Hence,
m + n = 24. m+n=24. m + n = 24.
Check with options
The correct option is:
24 \boxed{24} 24
which is Option C .