Given that
A = [ 1 1 − 1 2 2 3 4 0 0 ] A=\begin{bmatrix}
1 & 1 & -1\\
2 & 2 & 3\\
4 & 0 &0
\end{bmatrix} A = ⎣ ⎡ 1 2 4 1 2 0 − 1 3 0 ⎦ ⎤ and B = [ 1 1 − 1 2 2 3 4 0 0 ] B=\begin{bmatrix}
1 & 1 & -1\\
2 & 2 & 3\\
4 & 0 &0
\end{bmatrix} B = ⎣ ⎡ 1 2 4 1 2 0 − 1 3 0 ⎦ ⎤
Then
A T = [ 1 2 4 1 2 0 − 1 3 0 ] A^{T}=\begin{bmatrix}
1 & 2 & 4\\
1 & 2 & 0\\
-1 & 3 &0
\end{bmatrix} A T = ⎣ ⎡ 1 1 − 1 2 2 3 4 0 0 ⎦ ⎤ and B T = [ 1 2 4 1 2 0 − 1 3 0 ] B^{T}=\begin{bmatrix}
1 & 2 & 4\\
1 & 2 & 0\\
-1 & 3 &0
\end{bmatrix} B T = ⎣ ⎡ 1 1 − 1 2 2 3 4 0 0 ⎦ ⎤
d e t ( A ) = ∣ 1 1 − 1 2 2 3 4 0 0 ∣ det(A)=\begin{vmatrix}
1 & 1 & -1\\
2 & 2 & 3\\
4 & 0 &0
\end{vmatrix} d e t ( A ) = ∣ ∣ 1 2 4 1 2 0 − 1 3 0 ∣ ∣
d e t ( A ) = ( 1 ) ( 0 − 0 ) − ( 1 ) ( 0 − 12 ) + ( − 1 ) ( 0 − 8 ) det(A)=(1)(0-0)-(1)(0-12)+(-1)(0-8) d e t ( A ) = ( 1 ) ( 0 − 0 ) − ( 1 ) ( 0 − 12 ) + ( − 1 ) ( 0 − 8 )
d e t ( A ) = 0 + 12 + 8 det(A)=0+12+8 d e t ( A ) = 0 + 12 + 8
d e t ( A ) = 20 det(A)=20 d e t ( A ) = 20
And
d e t ( B ) = ∣ 1 1 − 1 2 2 3 4 0 0 ∣ det(B)=\begin{vmatrix}
1 & 1 & -1\\
2 & 2 & 3\\
4 & 0 &0
\end{vmatrix} d e t ( B ) = ∣ ∣ 1 2 4 1 2 0 − 1 3 0 ∣ ∣
d e t ( B ) = ( 1 ) ( 0 − 0 ) − ( 1 ) ( 0 − 12 ) + ( − 1 ) ( 0 − 8 ) det(B)=(1)(0-0)-(1)(0-12)+(-1)(0-8) d e t ( B ) = ( 1 ) ( 0 − 0 ) − ( 1 ) ( 0 − 12 ) + ( − 1 ) ( 0 − 8 )
d e t ( B ) = 0 + 12 + 8 det(B)=0+12+8 d e t ( B ) = 0 + 12 + 8
d e t ( B ) = 20 det(B)=20 d e t ( B ) = 20
For the matrix A = [ 1 1 − 1 2 2 3 4 0 0 ] A=\begin{bmatrix}
1 &1&-1 \\
2 & 2&3\\
4&0&0
\end{bmatrix} A = ⎣ ⎡ 1 2 4 1 2 0 − 1 3 0 ⎦ ⎤
A − 1 = a d j o i n t A d e t ( A ) A^{-1}=\frac{adjointA}{det(A)} A − 1 = d e t ( A ) a d j o in t A
The adjoint of A is calculated by the cofactor method
A − 1 = [ 0 0 5 12 4 − 5 − 8 4 0 ] ( 20 ) A^{-1}=\frac{\begin{bmatrix}
0 &0&5 \\
12&4&-5 \\
-8 & 4&0
\end{bmatrix}}{(20)} A − 1 = ( 20 ) [ 0 12 − 8 0 4 4 5 − 5 0 ]
A − 1 = [ 0 20 0 20 5 20 12 20 4 20 3 20 − 8 20 4 20 0 20 ] A^{-1}=\begin{bmatrix}
\frac{0}{20} &\frac{0}{20}&\frac{5}{20} \\
\frac{12}{20} & \frac{4}{20}&\frac{3}{20}\\
\frac{-8}{20}&\frac{4}{20}&\frac{0}{20}
\end{bmatrix} A − 1 = ⎣ ⎡ 20 0 20 12 20 − 8 20 0 20 4 20 4 20 5 20 3 20 0 ⎦ ⎤
A − 1 = [ 0 0 0.25 0.6 0.2 − 0.25 − 0.4 0.2 0 ] A^{-1}=\begin{bmatrix} 0 &0 & 0.25\\ 0.6 & 0.2 & -0.25\\ -0.4 & 0.2 &0 \end{bmatrix} A − 1 = ⎣ ⎡ 0 0.6 − 0.4 0 0.2 0.2 0.25 − 0.25 0 ⎦ ⎤
Similarly
for the matrix B = [ 1 1 − 1 2 2 3 4 0 0 ] B=\begin{bmatrix}
1 &1&-1 \\
2 & 2&3\\
4&0&0
\end{bmatrix} B = ⎣ ⎡ 1 2 4 1 2 0 − 1 3 0 ⎦ ⎤
B − 1 = a d j o i n t B d e t ( B ) B^{-1}=\frac{adjointB}{det(B)} B − 1 = d e t ( B ) a d j o in tB
The adjoint of B is calculated by the cofactor method
B − 1 = [ 0 0 5 12 4 − 5 − 8 4 0 ] ( 20 ) B^{-1}=\frac{\begin{bmatrix}
0 &0&5 \\
12&4&-5 \\
-8 & 4&0
\end{bmatrix}}{(20)} B − 1 = ( 20 ) [ 0 12 − 8 0 4 4 5 − 5 0 ]
B − 1 = [ 0 20 0 20 5 20 12 20 4 20 3 20 − 8 20 4 20 0 20 ] B^{-1}=\begin{bmatrix}
\frac{0}{20} &\frac{0}{20}&\frac{5}{20} \\
\frac{12}{20} & \frac{4}{20}&\frac{3}{20}\\
\frac{-8}{20}&\frac{4}{20}&\frac{0}{20}
\end{bmatrix} B − 1 = ⎣ ⎡ 20 0 20 12 20 − 8 20 0 20 4 20 4 20 5 20 3 20 0 ⎦ ⎤
B − 1 = [ 0 0 0.25 0.6 0.2 − 0.25 − 0.4 0.2 0 ] B^{-1}=\begin{bmatrix} 0 &0 & 0.25\\ 0.6 & 0.2 & -0.25\\ -0.4 & 0.2 &0 \end{bmatrix} B − 1 = ⎣ ⎡ 0 0.6 − 0.4 0 0.2 0.2 0.25 − 0.25 0 ⎦ ⎤
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