To understand this form it is necessary to understand how matrices are multiplied.
How to use the matrix method.
Solving systems of equations by matrix method involves expressing the system of equations in form of a matrix and then reducing that matrix into what is known as row echelon form.
Below are two examples of matrices in row echelon form.
The determinant of the coefficient matrix must be non zero.
The matrix method is similar to the method of elimination as but is a lot cleaner than the elimination method.
I left the 1 determinant outside the matrix to make the numbers simpler then multiply a 1 by b we can use the matrix calculator again.
Another way to solve a matrix equation ax b is to left multiply both sides by the inverse matrix a 1 if it exists to get the solution x a.
X 5 y 3 z 2.
This first matrix is called the encoding matrix and its inverse is called the decoding matrix.
And we are done.
Only conformable matrices can be multiplied.
To use this method follow the steps demonstrated on the following system.
The receiver of the message decodes it using the inverse of the matrix.
Set the main matrix and calculate its inverse in case it is not singular.
Just like on the systems of linear equations page.
The reason of course is that the inverse of a matrix exists precisely when its determinant is non zero.
The result vector is a solution of the matrix equation.
This is useful if you start with a matrix equation to begin with and so maple.
To solve a system of linear equations using inverse matrix method you need to do the following steps.
Using the matrix calculator we get this.
Multiply the inverse matrix by the solution vector.
A matrix method can be solved using a different command the linsolve command.