Define the following 2×2 matrix:
A=[acbd]
We want to find a 2×2 matrix
A−1=[wyxz]
such that A−1A=AA−1=I, where
I=[1001]I is known as the identity matrix, because for any matrix A,
AI=IA=AA−1 is called the inverse of A.
Let us evaluate the product AA−1:
AA−1=[acbd][wyxz]AA−1=[aw+bycw+dyax+bzcx+dz]
We obtain the following system of equations:
aw+by=1ax+bz=0cw+dy=0cx+dz=1
It is quite tedious to solve this system of equations, but it is quite straightforward, since it is just 4 variables in 4 linear equations. Try to solve the system of equations yourself before moving on.
Here is the solution to the system of equations:
w=ad−bcdx=ad−bc−by=ad−bc−cz=ad−bca
Thus, we have solved for A−1:
A−1=ad−bc1[d−c−ba]
Notice that we only solved for A−1 in the equation AA−1=I. You are encouraged to work through the case A−1A=I and observe that you indeed get exactly the same answer for A−1.
Therefore, if ad−bc=0, then the matrix A has an inverse, and it can be described as above. If ad−bc=0, then the matrix A has no inverse.
The quantity ad−bc is called the determinant of the matrix A, abbreviated det(A). The determinant can be expressed in a symbolic statement in one of the following ways:
det(A)=ad−bcacbd=ad−bc
We say that a matrix A is invertible if det(A)=0. If det(A)=0, then we say that A is singular or degenerate.
(Video) Inverse Matrix Using Gauss-Jordan and Row Reduction
by PatrickJMT
Here are some videos by patrickJMT showing you a different method of finding the inverse of a matrix. Note that for a 2×2 matrix it's generally easier to use the determinant method. But for a 3×3 or higher matrix, I find it simpler to use this method. Both will work so use whatever one you can do the quickest or easiest.