Calculating the Inverse Matrix for a 3x3 Matrix

In summary, the given augmented matrix was reduced using row operations to the reduced row echelon form, and the inverse of the original matrix A was found to be equal to the given matrix. The process of solving this problem was aided by the use of a matrix calculator, which can be more efficient for larger matrices.
  • #1
karush
Gold Member
MHB
3,269
5
$\tiny{311.2.2.31}$
$A=\left[\begin{array}{rrrrr}
1&0&-2\\-3&1&4\\2&-3&4
\end{array}\right]$
RREF with augmented matrix
$\left[ \begin{array}{ccc|ccc}
1&0&-2&1&0&0 \\&&&\\-3&1&4&0&1&0 \\&&&\\ 2&-3&4&0&0&1\end{array}\right]
\sim
\left[ \begin{array}{ccc|ccc}1&0&0&8&3&1 \\&&&\\0&1&0&10&4&1 \\&&&\\ 0&0&1&\dfrac{7}{2}&\dfrac{3}{2}&\dfrac{1}{2}
\end{array}\right]
\quad \therefore A^{-1}=\left[
\begin{array}{ccc}8 & 3 & 1 \\\\ 10 & 4 & 1 \\\\ \dfrac{7}{2} & \dfrac{3}{2} & \dfrac{1}{2} \end{array} \right]$

ok I left out the row reduction steps
but I tried to use the desmos matrix calculator to check this
but after you put in the matrix didn't see how to run it.
 
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  • #3
when all else fails there is W|A
 
  • #4
Do you really have to use some kind of calculator do the arithmetic for you?

Surely it is not that hard to do
$\begin{bmatrix}1 & 0 & -2 \\ -3 & 1 & 4 \\2 & 3 & 4 \end{bmatrix}\begin{bmatrix}8 & 3 & 1 \\ 10 & 4 6 & 1 \\ \frac{7}{2} & \frac{3}{2} & \frac{1}{2}\end{bmatrix}= \begin{bmatrix}8- 7 & 3- 3 & 1- 1\\ -24+ 10+ 14 & -9+ 4+ 6 & -3+ 1+ 2 \\ 16- 30+ 14 & 6- 12+ 6 & 2- 3+ 2 \end{bmatrix}= \begin{bmatrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix}$
and
$\begin{bmatrix}8 & 3 & 1 \\ 10 & 4 6 & 1 \\ \frac{7}{2} & \frac{3}{2} & \frac{1}{2}\end{bmatrix}$$\begin{bmatrix}8 & 3 & 1 \\ 10 & 4 6 & 1 \\ \frac{7}{2} & \frac{3}{2} & \frac{1}{2}\end{bmatrix}$$= \begin{bmatrix}8- 9+ 2 & 3- 3 & -16+ 12+ 4 \\ 10- 12+ 2 & 4- 3 & -20+ 16+ 4 \\ \frac{7}{2}- \frac{9}{2}+ 1 & \frac{3}{2}- \frac{3}{2} & -7+ 6+ 2 \end{bmatrix}=$$ \begin{bmatrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix}$.

(I'm just too old!)
 
  • #5
Any operation with matrices larger than 2 by 2 isn't meant to be done by hand, especially if one is prone to arithmetic errors. ;)
 
  • #6
its kinda like a bingo game
 

What is an inverse matrix?

An inverse matrix is the matrix that, when multiplied by the original matrix, results in the identity matrix. It is denoted by A-1 and is used to solve equations involving matrices.

Why is finding the inverse matrix important?

Finding the inverse matrix is important because it allows us to solve systems of equations involving matrices, which are commonly used in fields such as engineering, physics, and economics. It also helps in simplifying complex calculations and transformations.

How do you find the inverse matrix?

To find the inverse matrix, we use the formula A-1 = (1/det(A)) * adj(A), where det(A) is the determinant of the original matrix and adj(A) is the adjugate matrix (transpose of the cofactor matrix).

Can every matrix have an inverse?

No, not every matrix has an inverse. For a matrix to have an inverse, it must be a square matrix (same number of rows and columns) and its determinant must not be equal to zero.

What are some applications of inverse matrices?

Inverse matrices have numerous applications in fields such as computer graphics, cryptography, and optimization. They are also used in solving systems of linear equations, finding the inverse of a function, and inverting matrices in statistics.

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