Question
Find the inverse of the given matrix.
Aequals
left bracket Start 3 By 3 Matrix 1st Row 1st Column 6 2nd Column 6 3rd Column negative 1 2nd Row 1st Column 0 2nd Column 3 3rd Column negative 1 3rd Row 1st Column negative 1 2nd Column negative 6 3rd Column 1 EndMatrix right bracket
Question content area bottom
Part 1
Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
A.
The inverse of the given matrix is Upper A Superscript negative 1equals
enter your response here
(Type an integer or a simplified fraction for each matrix element.)
B.
The given matrix does not have an inverse.
Aequals
left bracket Start 3 By 3 Matrix 1st Row 1st Column 6 2nd Column 6 3rd Column negative 1 2nd Row 1st Column 0 2nd Column 3 3rd Column negative 1 3rd Row 1st Column negative 1 2nd Column negative 6 3rd Column 1 EndMatrix right bracket
Question content area bottom
Part 1
Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
A.
The inverse of the given matrix is Upper A Superscript negative 1equals
enter your response here
(Type an integer or a simplified fraction for each matrix element.)
B.
The given matrix does not have an inverse.
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To find the inverse of the matrix \( A \), we use the formula for the inverse of a \( 3 \times 3 \) matrix. The given matrix is:
\[
A = \begin{pmatrix} 6 & 6 & -1 \\ 0 & 3 & -1 \\ -1 & -6 & 1 \end{pmatrix}
\]
To find the inverse, we first need to calculate the determinant of \( A \). The determinant \( \text{det}(A) \) can be calculated using the formula for the determinant of a \( 3 \times 3 \) matrix:
\[
\text{det}(A) = a(ei - fh) - b(di - fg) + c(dh - eg)
\]
where the matrix is:
\[
\begin{pmatrix}
a & b & c \\
d & e & f \\
g & h & i
\end{pmatrix}
\]
For matrix \( A \):
- \( a = 6 \), \( b = 6 \), \( c = -1 \)
- \( d = 0 \), \( e = 3 \), \( f = -1 \)
- \( g = -1 \), \( h = -6 \), \( i = 1 \)
Calculating the determinant:
\[
\text{det}(A) = 6(3 \cdot 1 - (-1)(-6)) - 6(0 \cdot 1 - (-1)(-1)) + (-1)(0 \cdot (-6) - 3 \cdot -1)
\]
\[
= 6(3 - 6) - 6(0 - 1) + (-1)(0 + 3)
\]
\[
= 6(-3) - 6(-1) - 3
\]
\[
= -18 + 6 - 3
\]
\[
= -15
\]
Since the determinant is not zero (\( \text{det}(A) \neq 0 \)), the inverse exists.
Next, we find the inverse using the adjugate method. The formula for the inverse of a matrix is given by:
\[
A^{-1} = \frac{1}{\text{det}(A)} \cdot \text{adj}(A)
\]
We first calculate the adjugate of \( A \). The adjugate is the transpose of the cofactor matrix of \( A \).
Calculating the cofactor matrix:
- Cofactor \( C_{11} = \text{det}\begin{pmatrix} 3 & -1 \\ -6 & 1 \end{pmatrix} = 3 \cdot 1 - (-1)(-6) = 3 - 6 = -3 \)
- Cofactor \( C_{12} = -\text{det}\begin{pmatrix} 0 & -1 \\ -1 & 1 \end{pmatrix} = - (0 \cdot 1 - (-1)(-1)) = -(-1) = 1 \)
- Cofactor \( C_{13} = \text{det}\begin{pmatrix} 0 & 3 \\ -1 & -6 \end{pmatrix} = 0 \cdot (-6) - 3 \cdot (-1) = 0 + 3 = 3 \)
- Cofactor \( C_{21} = -\text{det}\begin{pmatrix} 6 & -1 \\ -6 & 1 \end{pmatrix} = - (6 \cdot 1 - (-1)(-6)) = -(6 - 6) = 0 \)
- Cofactor \( C_{22} = \text{det}\begin{pmatrix} 6 & -1 \\ -1 & 1 \end{pmatrix} = 6 \cdot 1 - (-1)(-1) = 6 - 1 = 5 \)
- Cofactor \( C_{23} = -\text{det}\begin{pmatrix} 6 & 6 \\ -1 & -6 \end{pmatrix} = - (6 \cdot -6 - 6 \cdot -1) = -(-36 + 6) = 30 \)
- Cofactor \( C_{31} = \text{det}\begin{pmatrix} 6 & -1 \\ 3 & -1 \end{pmatrix} = 6 \cdot -1 - (-1)(3) = -6 + 3 = -3 \)
- Cofactor \( C_{32} = -\text{det}\begin{pmatrix} 6 & -1 \\ 0 & -1 \end{pmatrix} = - (6 \cdot -1 - (-1)(0)) = -(-6) = 6 \)
- Cofactor \( C_{33} = \text{det}\begin{pmatrix} 6 & 6 \\ 0 & 3 \end{pmatrix} = 6 \cdot 3 - 6 \cdot 0 = 18 \)
Assembling the cofactor matrix:
\[
\text{Cof}(A) = \begin{pmatrix} -3 & 1 & 3 \\ 0 & 5 & 30 \\ -3 & 6 & 18 \end{pmatrix}
\]
Then taking the transpose:
\[
\text{adj}(A) = \begin{pmatrix} -3 & 0 & -3 \\ 1 & 5 & 6 \\ 3 & 30 & 18 \end{pmatrix}
\]
Now we can calculate the inverse:
\[
A^{-1} = \frac{1}{\text{det}(A)} \cdot \text{adj}(A) = \frac{1}{-15} \cdot \begin{pmatrix} -3 & 0 & -3 \\ 1 & 5 & 6 \\ 3 & 30 & 18 \end{pmatrix}
\]
So, the final result is:
\[
A^{-1} = \begin{pmatrix} \frac{3}{15} & 0 & \frac{3}{15} \\ -\frac{1}{15} & -\frac{5}{15} & -\frac{6}{15} \\ -\frac{3}{15} & -\frac{30}{15} & -\frac{18}{15} \end{pmatrix}
\]
Simplifying:
\[
A^{-1} = \begin{pmatrix} \frac{1}{5} & 0 & \frac{1}{5} \\ -\frac{1}{15} & -\frac{1}{3} & -\frac{2}{5} \\ -\frac{1}{5} & -2 & -\frac{6}{5} \end{pmatrix}
\]
Thus, the correct option is A, and the answer is:
\[
A^{-1} = \begin{pmatrix} \frac{1}{5} & 0 & \frac{1}{5} \\ -\frac{1}{15} & -\frac{1}{3} & -\frac{2}{5} \\ -\frac{1}{5} & -2 & -\frac{6}{5} \end{pmatrix}
\]
Feel free to enter these values into the answer box for your question.
\[
A = \begin{pmatrix} 6 & 6 & -1 \\ 0 & 3 & -1 \\ -1 & -6 & 1 \end{pmatrix}
\]
To find the inverse, we first need to calculate the determinant of \( A \). The determinant \( \text{det}(A) \) can be calculated using the formula for the determinant of a \( 3 \times 3 \) matrix:
\[
\text{det}(A) = a(ei - fh) - b(di - fg) + c(dh - eg)
\]
where the matrix is:
\[
\begin{pmatrix}
a & b & c \\
d & e & f \\
g & h & i
\end{pmatrix}
\]
For matrix \( A \):
- \( a = 6 \), \( b = 6 \), \( c = -1 \)
- \( d = 0 \), \( e = 3 \), \( f = -1 \)
- \( g = -1 \), \( h = -6 \), \( i = 1 \)
Calculating the determinant:
\[
\text{det}(A) = 6(3 \cdot 1 - (-1)(-6)) - 6(0 \cdot 1 - (-1)(-1)) + (-1)(0 \cdot (-6) - 3 \cdot -1)
\]
\[
= 6(3 - 6) - 6(0 - 1) + (-1)(0 + 3)
\]
\[
= 6(-3) - 6(-1) - 3
\]
\[
= -18 + 6 - 3
\]
\[
= -15
\]
Since the determinant is not zero (\( \text{det}(A) \neq 0 \)), the inverse exists.
Next, we find the inverse using the adjugate method. The formula for the inverse of a matrix is given by:
\[
A^{-1} = \frac{1}{\text{det}(A)} \cdot \text{adj}(A)
\]
We first calculate the adjugate of \( A \). The adjugate is the transpose of the cofactor matrix of \( A \).
Calculating the cofactor matrix:
- Cofactor \( C_{11} = \text{det}\begin{pmatrix} 3 & -1 \\ -6 & 1 \end{pmatrix} = 3 \cdot 1 - (-1)(-6) = 3 - 6 = -3 \)
- Cofactor \( C_{12} = -\text{det}\begin{pmatrix} 0 & -1 \\ -1 & 1 \end{pmatrix} = - (0 \cdot 1 - (-1)(-1)) = -(-1) = 1 \)
- Cofactor \( C_{13} = \text{det}\begin{pmatrix} 0 & 3 \\ -1 & -6 \end{pmatrix} = 0 \cdot (-6) - 3 \cdot (-1) = 0 + 3 = 3 \)
- Cofactor \( C_{21} = -\text{det}\begin{pmatrix} 6 & -1 \\ -6 & 1 \end{pmatrix} = - (6 \cdot 1 - (-1)(-6)) = -(6 - 6) = 0 \)
- Cofactor \( C_{22} = \text{det}\begin{pmatrix} 6 & -1 \\ -1 & 1 \end{pmatrix} = 6 \cdot 1 - (-1)(-1) = 6 - 1 = 5 \)
- Cofactor \( C_{23} = -\text{det}\begin{pmatrix} 6 & 6 \\ -1 & -6 \end{pmatrix} = - (6 \cdot -6 - 6 \cdot -1) = -(-36 + 6) = 30 \)
- Cofactor \( C_{31} = \text{det}\begin{pmatrix} 6 & -1 \\ 3 & -1 \end{pmatrix} = 6 \cdot -1 - (-1)(3) = -6 + 3 = -3 \)
- Cofactor \( C_{32} = -\text{det}\begin{pmatrix} 6 & -1 \\ 0 & -1 \end{pmatrix} = - (6 \cdot -1 - (-1)(0)) = -(-6) = 6 \)
- Cofactor \( C_{33} = \text{det}\begin{pmatrix} 6 & 6 \\ 0 & 3 \end{pmatrix} = 6 \cdot 3 - 6 \cdot 0 = 18 \)
Assembling the cofactor matrix:
\[
\text{Cof}(A) = \begin{pmatrix} -3 & 1 & 3 \\ 0 & 5 & 30 \\ -3 & 6 & 18 \end{pmatrix}
\]
Then taking the transpose:
\[
\text{adj}(A) = \begin{pmatrix} -3 & 0 & -3 \\ 1 & 5 & 6 \\ 3 & 30 & 18 \end{pmatrix}
\]
Now we can calculate the inverse:
\[
A^{-1} = \frac{1}{\text{det}(A)} \cdot \text{adj}(A) = \frac{1}{-15} \cdot \begin{pmatrix} -3 & 0 & -3 \\ 1 & 5 & 6 \\ 3 & 30 & 18 \end{pmatrix}
\]
So, the final result is:
\[
A^{-1} = \begin{pmatrix} \frac{3}{15} & 0 & \frac{3}{15} \\ -\frac{1}{15} & -\frac{5}{15} & -\frac{6}{15} \\ -\frac{3}{15} & -\frac{30}{15} & -\frac{18}{15} \end{pmatrix}
\]
Simplifying:
\[
A^{-1} = \begin{pmatrix} \frac{1}{5} & 0 & \frac{1}{5} \\ -\frac{1}{15} & -\frac{1}{3} & -\frac{2}{5} \\ -\frac{1}{5} & -2 & -\frac{6}{5} \end{pmatrix}
\]
Thus, the correct option is A, and the answer is:
\[
A^{-1} = \begin{pmatrix} \frac{1}{5} & 0 & \frac{1}{5} \\ -\frac{1}{15} & -\frac{1}{3} & -\frac{2}{5} \\ -\frac{1}{5} & -2 & -\frac{6}{5} \end{pmatrix}
\]
Feel free to enter these values into the answer box for your question.
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.