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For the following exercises, find the multiplicative inverse of each matrix, if it exists. $$\left[\begin{array}{rrr}1 & 0 & 6 \\ -2 & 1 & 7 \\ 3 & 0 & 2\end{array}\right]$$

Short Answer

Expert verified
The inverse of the matrix is \[ \left[\begin{array}{ccc}-\frac{1}{8} & \frac{25}{16} & -\frac{3}{16} \\ \frac{21}{16} & \frac{1}{1} & -\frac{9}{8} \\ \frac{3}{16} & \frac{3}{16} & -\frac{1}{16}\end{array}\right] \].

Step by step solution

01

Understand the Concept of a Multiplicative Inverse

The multiplicative inverse of a matrix \(A\) is another matrix \(A^{-1}\) such that \(A \times A^{-1} = I\), where \(I\) is the identity matrix. This inverse exists if and only if the determinant of \(A\) is not zero.
02

Compute the Determinant

To find the inverse, first calculate the determinant of the matrix:\[A = \left[\begin{array}{rrr}1 & 0 & 6 \ -2 & 1 & 7 \ 3 & 0 & 2\end{array}\right]\]The determinant \(\det(A)\) is computed by expanding along the first row:\[\det(A) = 1 \cdot (1 \cdot 2 - 7 \cdot 0) - 0 \cdot (-2 \cdot 2 - 7 \cdot 3) + 6 \cdot (-2 \cdot 0 - 1 \cdot 3)\]\[= 1 \cdot 2 + 0 + 6 \cdot (-3) = 2 - 18 = -16\]Since the determinant is \(-16\), which is not zero, the matrix is invertible.
03

Calculate the Adjunct Matrix

The adjunct matrix (or adjugate matrix) is found by calculating the cofactor of each element in \(A\) and transposing the result. This includes the following cofactors:\[C_{11} = (1 \cdot 2 - 7 \cdot 0) = 2, \quad C_{12} = -(0 \cdot 2 - 7 \cdot 3) = 21, \quad C_{13} = (0 \cdot 0 - 1 \cdot 3) = -3\]\[C_{21} = -(-2 \cdot 2 - 7 \cdot 3) = 25, \quad C_{22} = (1 \cdot 2 - 6 \cdot 3) = -16, \quad C_{23} = -(-6 \cdot 0 - 1 \cdot 3) = 3\]\[C_{31} = (0 \cdot 7 + 1 \cdot 3) = 3, \quad C_{32} = -(0 \cdot 7 + 6 \cdot 3) = -18, \quad C_{33} = (1 \cdot 1 - (-2) \cdot 0) = 1\]Then, the cofactor matrix is:\[\left[\begin{array}{ccc}2 & -21 & -3 \ -25 & -16 & -3 \ 3 & 18 & 1\end{array}\right]\]Transpose it to get the adjunct matrix:\[\left[\begin{array}{ccc}2 & -25 & 3 \ -21 & -16 & 18 \ -3 & -3 & 1\end{array}\right]\]
04

Find the Inverse Matrix

Multiply each element of the adjunct matrix by \(1/\det(A)\), which is \(1/(-16)\) to get the inverse:\[A^{-1} = \frac{1}{-16} \times \left[\begin{array}{ccc}2 & -25 & 3 \ -21 & -16 & 18 \ -3 & -3 & 1\end{array}\right]\]\[= \left[\begin{array}{ccc}-\frac{1}{8} & \frac{25}{16} & -\frac{3}{16} \ \frac{21}{16} & \frac{1}{1} & -\frac{9}{8} \ \frac{3}{16} & \frac{3}{16} & -\frac{1}{16}\end{array}\right]\]
05

Validate the Result

Multiply \(A\) and \(A^{-1}\) to ensure the product is an identity matrix \(I\). If \(A \times A^{-1} = I\), then the inverse is correct.

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Key Concepts

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

Determinant Calculation
The determinant of a matrix is a special number that can tell us a lot about the matrix. It's like a key that unlocks many properties of the matrix, such as if it has an inverse. For a square matrix, calculating the determinant involves a specific formula. In our case, we consider a 3x3 matrix structured with three rows and three columns.

To find the determinant of a 3x3 matrix, we use the method of expansion by minors. This entails choosing one row or column and applying a formula involving products of matrix elements and smaller 2x2 determinants (called minors).
  • Select the first row or any row/column that seems easiest.
  • For each element in the row, calculate its minor (a smaller 2x2 determinant).
  • Multiply each element by its minor, adjusting the sign based on its position (using a checkerboard pattern of plus and minus).
  • Finally, sum up these products to get the determinant.
In our example, the determinant is \(-16\), indicating the matrix is invertible because this value is not zero.
Adjugate Matrix
Once we find a non-zero determinant, we proceed to calculate the adjugate matrix. The adjugate matrix involves two primary steps: finding the cofactors of each element and then transposing these cofactors into a new matrix.

Cofactors are determined by taking each element in the given matrix and associating it with a specific minor, multiplying it by \(-1\) raised to the sum of the element's row and column indices. Think of the cofactor matrix as a new grid, where each position is filled with its cofactor value from the original matrix.
  • Calculate the minor for each element.
  • Determine the cofactor by adjusting the sign for its position.
  • Place each cofactor into a new matrix grid respective of its place in the original matrix.
  • Finally, transpose this matrix (swap rows with columns) to find the adjugate matrix.
This adjugate is essential, as it forms the basis for finding the matrix inverse in the next step.
Matrix Multiplication
Matrix multiplication is a fundamental operation that combines two matrices to produce a third, by multiplying rows of the first matrix by columns of the second. It's a process extensively used to validate if one matrix is indeed the inverse of another.

To perform matrix multiplication, remember that the resulting matrix's dimensions depend on the sizes of the original matrices—it will only work if the number of columns in the first matrix matches the number of rows in the second.
  • Multiply each row element of the first matrix by the respective column elements of the second matrix.
  • Sum these products to fill each position in the resulting matrix.
  • Continue this process for every row and column pair.
In the exercise, we verify that our matrix inverse is correct by multiplying the original matrix by its calculated inverse, ensuring it yields the identity matrix, confirming our steps.
Identity Matrix
The identity matrix is a special type of matrix that acts like the number 1 in matrix operations. When you multiply any matrix by the identity matrix, the original matrix remains unchanged. This property renders the identity matrix crucial in defining matrix inverses.

An identity matrix is square, meaning it has the same number of rows and columns. It has 1s on the diagonal (from top left to bottom right) and 0s everywhere else.
  • In a 3x3 identity matrix, only the diagonal will have ones \([1, 1, 1]\).
  • All off-diagonal elements are zero.
In context of the matrix inverse, if you multiply a matrix by its inverse and the result is the identity matrix, you’ve validated that you’ve found the correct inverse. This is why the identity matrix is essential in verifying solutions in linear algebra problems.

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Most popular questions from this chapter

For the following exercises, create a system of linear equations to describe the behavior. Then, solve the system for all solutions using Cramer’s Rule. At a women’s prison down the road, the total number of inmates aged 20–49 totaled 5,525. This year, the 20–29 age group increased by 10%, the 30–39 age group decreased by 20%, and the 40–49 age group doubled. There are now 6,040 prisoners. Originally, there were 500 more in the 30–39 age group than the 20–29 age group. Determine the prison population for each age group last year.

For the following exercises, set up the augmented matrix that describes the situation, and solve for the desired solution. A major appliance store is considering purchasing vacuums from a small manufacturer. The store would be able to purchase the vacuums for \(\$ 86\) each, with a delivery fee of \(\$ 9,200\), regardless of how many vacuums are sold. If the store needs to start seeing a profit after 230 units are sold, how much should they charge for the vacuums?

For the following exercises, create a system of linear equations to describe the behavior. Then, solve the system for all solutions using Cramer’s Rule. Men aged \(20-29,30-39\) , and \(40-49\) made up 78\(\%\) of the population at a prison last year. This year, the same age groups made up 82.08\(\%\) of the population. The \(20-29\) age group increased by \(20 \%,\) the \(30-39\) age group increased by \(2 \%,\) and the \(40-49\) age group decreased to \(\frac{3}{4}\) of their previous population. Originally, the \(30-39\) age group had 2\(\%\) more prisoners than the \(20-29\) age group. Determine the prison population percentage for each age group last year.

For the following exercises, use Gaussian elimination to solve the system. $$ \begin{aligned} \frac{x-3}{10}+\frac{y+3}{2}-2 z &=3 \\ \frac{x+5}{4}-\frac{y-1}{8}+z &=\frac{3}{2} \\ \frac{x-1}{4}+\frac{y+4}{2}+3 z &=\frac{3}{2} \end{aligned} $$

For the following exercises, write a system of equations that represents the situation. Then, solve the system using the inverse of a matrix. Three roommates shared a package of 12 ice cream bars, but no one remembers who ate how many. If Tom ate twice as many ice cream bars as Joe, and Albert ate three less than Tom, how many ice cream bars did each roommate eat?

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