Math  /  Algebra

QuestionFind the inverse of the matrix A=[81517142342] A = \left[\begin{array}{rrr}8 & 1 & 5 \\ -17 & -14 & 2 \\ 3 & 4 & -2\end{array}\right] .

Studdy Solution

STEP 1

What is this asking? We need to find the *magical mirror matrix* that *undoes* the action of matrix AA, turning it back into the identity matrix. Watch out! Not every matrix has an inverse!
If the determinant is zero, then *poof*, no inverse exists!

STEP 2

1. Calculate the determinant.
2. Find the adjugate matrix.
3. Calculate the inverse matrix.

STEP 3

Let's **kick things off** by calculating the determinant of AA!
This tells us if our matrix even *has* an inverse.
If the determinant is zero, then *no inverse for you*!

STEP 4

We'll use the **cofactor expansion** along the first row because, why not?
It's as good a row as any!

STEP 5

det(A)=814242117232+5171434 \det(A) = 8 \begin{vmatrix} -14 & 2 \\ 4 & -2 \end{vmatrix} - 1 \begin{vmatrix} -17 & 2 \\ 3 & -2 \end{vmatrix} + 5 \begin{vmatrix} -17 & -14 \\ 3 & 4 \end{vmatrix}

STEP 6

det(A)=8((14)(2)24)1((17)(2)23)+5((17)4(14)3) \det(A) = 8((-14) \cdot (-2) - 2 \cdot 4) - 1((-17) \cdot (-2) - 2 \cdot 3) + 5((-17) \cdot 4 - (-14) \cdot 3)

STEP 7

det(A)=8(288)(346)+5(68+42) \det(A) = 8(28 - 8) - (34 - 6) + 5(-68 + 42)

STEP 8

det(A)=8(20)(28)+5(26) \det(A) = 8(20) - (28) + 5(-26)

STEP 9

det(A)=16028130 \det(A) = 160 - 28 - 130

STEP 10

det(A)=2 \det(A) = \mathbf{2}

STEP 11

*Phew*, our determinant is **2**, which isn't zero!
That means an inverse *does* exist! *Onwards to victory*!

STEP 12

Now, let's find the **adjugate matrix**, which is the *transpose of the cofactor matrix*.
It's like finding the *secret code* to unlock the inverse!

STEP 13

The cofactor matrix is found by calculating the determinant of each *minor matrix* (the matrix you get when you delete a row and column) and multiplying by (1)i+j(-1)^{i+j}, where ii and jj are the row and column numbers.

STEP 14

After some serious number crunching (which I know you can handle!), the cofactor matrix of AA is: C=[2028262241291156997]C = \begin{bmatrix} -20 & 28 & -26 \\ -22 & -41 & -29 \\ -115 & -69 & -97 \end{bmatrix}

STEP 15

Now, *flip it*!
The adjugate is the transpose of the cofactor matrix: adj(A)=[2022115284169262997]\text{adj}(A) = \begin{bmatrix} -20 & -22 & -115 \\ 28 & -41 & -69 \\ -26 & -29 & -97 \end{bmatrix}

STEP 16

*Almost there*!
Now we just need to **divide** the adjugate matrix by the determinant we found earlier, which was **2**.

STEP 17

A1=1det(A)adj(A)A^{-1} = \frac{1}{\det(A)} \cdot \text{adj}(A)

STEP 18

A1=12[2022115284169262997]A^{-1} = \frac{1}{2} \begin{bmatrix} -20 & -22 & -115 \\ 28 & -41 & -69 \\ -26 & -29 & -97 \end{bmatrix}

STEP 19

A1=[101157.51420.534.51314.548.5]A^{-1} = \begin{bmatrix} -10 & -11 & -57.5 \\ 14 & -20.5 & -34.5 \\ -13 & -14.5 & -48.5 \end{bmatrix}

STEP 20

The inverse of matrix AA is: A1=[101157.51420.534.51314.548.5]A^{-1} = \begin{bmatrix} -10 & -11 & -57.5 \\ 14 & -20.5 & -34.5 \\ -13 & -14.5 & -48.5 \end{bmatrix}

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