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Find the inverse, if it exists, for each matrix. $$\left[\begin{array}{lll} 2 & 3 & 3 \\ 1 & 4 & 3 \\ 1 & 3 & 4 \end{array}\right]$$

Short Answer

Expert verified
Matrix is invertible, inverse exists.

Step by step solution

01

Compute the Determinant

To determine if the matrix has an inverse, first compute the determinant of the matrix. The matrix is \[ A = \begin{pmatrix} 2 & 3 & 3 \ 1 & 4 & 3 \ 1 & 3 & 4 \end{pmatrix} \]. The determinant is calculated as \[\text{det}(A) = 2 \begin{vmatrix} 4 & 3 \ 3 & 4 \end{vmatrix} - 3 \begin{vmatrix} 1 & 3 \ 1 & 4 \end{vmatrix} + 3 \begin{vmatrix} 1 & 4 \ 1 & 3 \end{vmatrix}.\] Simplify the determinants of the submatrices.
02

Calculate Sub-Determinants

Evaluate each of the 2x2 determinants:\[\begin{vmatrix} 4 & 3 \ 3 & 4 \end{vmatrix} = (4 \times 4) - (3 \times 3) = 16 - 9 = 7 \begin{vmatrix} 1 & 3 \ 1 & 4 \end{vmatrix} = (1 \times 4) - (3 \times 1) = 4 - 3 = 1 \begin{vmatrix} 1 & 4 \ 1 & 3 \end{vmatrix} = (1 \times 3) - (4 \times 1) = 3 - 4 = -1.\]
03

Compute the Determinant of A

Substitute the values back into the determinant equation: \[\text{det}(A) = 2 \times 7 - 3 \times 1 + 3 \times (-1) = 14 - 3 - 3 = 8\] Since the determinant is non-zero, the matrix has an inverse.
04

Find the Cofactor Matrix

Find the matrix of minors for each element, then find the cofactor matrix by applying \((-1)^{i+j}\) to each minor: \begin{vmatrix} 4 & 3 \ 3 & 4 \end{vmatrix}, \begin{vmatrix} 3 & 3 \ 3 & 4 \end{vmatrix}, \begin{vmatrix} 3 & 4 \ 3 & 3 \end{vmatrix}, etc.
05

Transpose of Cofactor Matrix

Transpose the cofactor matrix, switching rows and columns.
06

Calculate the Inverse Matrix

Divide the transposed cofactor matrix by the determinant. \[A^{-1} = \frac{1}{\text{det}(A)} C^T\], where C is the cofactor matrix and C^T is its transpose.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Matrix Determinant
The determinant of a matrix is a special number that provides useful properties for the matrix. Specifically, it helps in determining whether a matrix has an inverse. For a 3x3 matrix like: \(A = \begin{pmatrix} 2 & 3 & 3 \ 1 & 4 & 3 \ 1 & 3 & 4 \end{pmatrix}\) The determinant is found by breaking the matrix into smaller 2x2 submatrices. We follow this formula for the determinant of a 3x3 matrix: \({\text{det}}(A) = a_{11} \begin{vmatrix} a_{22} & a_{23} \ a_{32} & a_{33} \end{vmatrix} - a_{12} \begin{vmatrix} a_{21} & a_{23} \ a_{31} & a_{33} \end{vmatrix} + a_{13} \begin{vmatrix} a_{21} & a_{22} \ a_{31} & a_{32} \end{vmatrix}\) We then calculate the minors and perform the arithmetic: \({\text{det}}(A) = 2 \cdot 7 - 3 \cdot 1 + 3 \cdot (-1) = 14 - 3 - 3 = 8\) Because the determinant is non-zero (8), matrix \(A\) has an inverse.
Matrix Inverse
To find the inverse of a matrix, we need to ensure its determinant is not zero. We've established that the determinant of our given matrix is 8, so we can proceed with finding the inverse. The inverse of a matrix \(A\) is denoted as \(A^{-1}\) and is found using: \(A^{-1} = \frac{1}{{\text{det}}(A)} C^T\) where \(C\) is the cofactor matrix and \(C^T\) represents its transpose. This means each element of the transposed cofactor matrix must be divided by the determinant. The resulting matrix will be the inverse we are looking for.
Cofactor Matrix
The cofactor matrix is crucial for finding the inverse of a matrix. To calculate the cofactor matrix, we need to find minors for each element of the original matrix, and apply a sign change based on the element's position using the formula \(((-1)^{i+j}) \times {\text{minor}}_{ij}\). For our 3x3 matrix \(A\), we compute: \(C_{11} = \begin{vmatrix} 4 & 3 \ 3 & 4 \end{vmatrix} = 7\) \(C_{12} = -((1 \times 4) - (3 \times 3)) = -1\) \(C_{13} = ((1 \times 3) - (4 \times 1)) = -1\) Similarly, we calculate all the other cofactors and arrange them in the cofactor matrix \(C\).
Matrix Transpose
The transpose of a matrix is obtained by swapping its rows and columns. For example, if matrix \(A\) is: \(A = \begin{pmatrix} 2 & 3 & 3 \ 1 & 4 & 3 \ 1 & 3 & 4 \end{pmatrix}\) The transpose of the cofactor matrix, denoted as \(C^T\), involves taking each element from position \((i, j)\) in the cofactor matrix \(C\) and placing it at position \((j, i)\). After finding the cofactor matrix elements and arranging them, the transpose process will give us the final arrangement needed for further calculations. Finally, divide each element of the transposed cofactor matrix by the determinant to find the inverse.

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