Proving inverse of a 2 x 2 matrix is really an inverse

In summary, the conversation discusses a formula for solving linear equation systems in 2 variables using matrix operations. The formula involves swapping the diagonal entries, putting a minus sign in front of the entries on the side diagonal, and dividing by the determinant. This method is helpful for those who struggle with visualizing solutions and can be used for more complicated examples.
  • #1
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Homework Statement
Please see below
Relevant Equations
Please see below
For this,
1682211587003.png

Dose someone please know how ##ad - bc## and ##-cb + da## are equal to 1?

Many thanks!
 
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  • #2
They are not equal to 1. They are both divided by ad-bc, which gives 1.
 
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  • #3
FactChecker said:
They are not equal to 1. They are both divided by ad-bc, which gives 1.
Oh thank you @FactChecker ! I see now
 
  • #4
This formula
$$
\begin{pmatrix}a&b\\c&d\end{pmatrix}^{-1}=\begin{pmatrix}d&-b\\-c&a\end{pmatrix} \cdot (ad-bc)^{-1}
$$

is so easy to memorize ...
  1. swap the diagonal entries ##a \leftrightarrow d##
  2. put a minus sign in front of the entries on the side diagonal ##b \rightarrow -b\, , \,c\rightarrow -c##
  3. and finally, divide by the determinant ##ad-bc.##
... that I use it whenever I have to solve a linear equation system in ##2## variables.

E.g. I wanted to write ##16 \cdot 24 ## and ##8\cdot 48## as ##(n-m)\cdot (n+m)## today. That goes:
\begin{align*}
\begin{pmatrix}1&-1\\1&1 \end{pmatrix}\cdot \begin{pmatrix}n\\m\end{pmatrix}=\begin{pmatrix}16\\24 \end{pmatrix}
\end{align*}
Then by doing the procedure as described I get
\begin{align*}
\begin{pmatrix}n\\m \end{pmatrix}=\begin{pmatrix}1&1\\-1&1 \end{pmatrix}\cdot \begin{pmatrix}16\\24 \end{pmatrix}\cdot \underbrace{(1\cdot 1- (-1\cdot 1))^{-1}}_{=1/2}=\begin{pmatrix}1&1\\-1&1 \end{pmatrix}\cdot \begin{pmatrix}8\\12 \end{pmatrix}=\begin{pmatrix}8+12\\ -8+12\end{pmatrix}=\begin{pmatrix}20\\4 \end{pmatrix}
\end{align*}
Same with the other product ##8\cdot 48.##

I know this was an easy example and could probably just "be seen". But I'm better with algorithms than "seeing" things. Once you get used to that procedure it is really easy to follow. Especially if the examples are a bit more complicated.
 
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FAQ: Proving inverse of a 2 x 2 matrix is really an inverse

What is the formula for finding the inverse of a 2x2 matrix?

The inverse of a 2x2 matrix \( A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \) is given by \( A^{-1} = \frac{1}{ad - bc} \begin{pmatrix} d & -b \\ -c & a \end{pmatrix} \), provided that the determinant \( ad - bc \neq 0 \).

How do you verify that a given 2x2 matrix is the inverse of another 2x2 matrix?

To verify that a matrix \( B \) is the inverse of matrix \( A \), you need to check that both \( AB = I \) and \( BA = I \), where \( I \) is the 2x2 identity matrix \( \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} \).

What is the determinant's role in finding the inverse of a 2x2 matrix?

The determinant \( ad - bc \) is crucial because it must be non-zero for the inverse to exist. If the determinant is zero, the matrix is singular and does not have an inverse.

Can you provide a step-by-step example of finding the inverse of a 2x2 matrix?

Sure! Consider the matrix \( A = \begin{pmatrix} 2 & 3 \\ 1 & 4 \end{pmatrix} \). First, calculate the determinant: \( (2 \cdot 4) - (3 \cdot 1) = 8 - 3 = 5 \). Since the determinant is non-zero, the inverse exists. Now, use the formula: \( A^{-1} = \frac{1}{5} \begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix} = \begin{pmatrix} 0.8 & -0.6 \\ -0.2 & 0.4 \end{pmatrix} \).

What happens if the determinant of a 2x2 matrix is zero?

If the determinant of a 2x2 matrix is zero, the matrix does not have an inverse. This is because the matrix is singular, meaning it does not have full rank and cannot be inverted.

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