# Solving Systems of Equations with Matrices

A **system** of equations, is any set of equations that
share some variables such as the set of three equations shown below.

In courses such as statics and dynamics we will often end up with a system of linear equations and be asked to solve for the unknowns in those equations. When we have just a few equations in our system, this can easily be done with algebraic methods such as substitution or elimination though addition or subtraction. For larger systems of equations however, the easiest way to solve for the unknowns is to convert the system of equations into a single matrix equation, and then use computer tools to solve the matrix equation.

This method will only work with systems of **linear equations**.
This means that we can only multiply the variables in the equations by a
constant. We cannot do things such as raise the variables to a power, have the variables
as an exponent, take the log of the variables, or multiply variables
together. Any of these operations would make the system of equations
non-linear, and will prevent us from converting them to a matrix
equation.

Additionally, to have a solvable matrix equation we will need have
the **same number of equations as unknown variables**. For
example, above we have a system of equations with three equations and
three unknown variables. If these numbers do not match we will not be
able to solve the matrix equation later on.

## Converting a System of Equations to a Matrix Equation:

The first step in converting a system of equations into a matrix equation is to rearrange the equations into a consistent format. Generally we will put all the variables with their coefficients on one side of the equation and the constants on the other side of the equation. Additionally, it is best to list the variables in the same order in each equation. This process of rearranging the equations will make conversion later on easier.

Next we will begin the process of writing out the three matrices that make up the matrix equation. These three matrices are the coefficient matrix (often referred to as the A matrix), the variable matrix (often referred to as the X matrix), and the constant matrix (often referred to as the B matrix).

- The
**coefficient matrix**(or A matrix) is an N x N matrix (where N is the number of equations / number of unknown variables) that contains all the coefficients for the variables. Each row of the matrix represents a single equation while each column represents a single variable (it is sometimes helpful to write the variable at the top of each column). For instances where a variable does not show up in an equation, we assume a coefficient of 0. - The
**variable matrix**(or X matrix) is a 1 x N matrix that contains all the unknown variables. It is important that the order of the variables in the coefficient matrix matches the order of the variables in the variable matrix. - Finally, on the other side of the equals sign we have the
**constant matrix**(or B matrix). This is a N x 1 matrix containing all the constants from the right sides of the equations. It is important that the order of the constants matches the order of equations in the coefficient matrix.

Once we have the three matrices set up we are ready to solve for the unknowns in the variable matrix.

## Solving the Matrix Equation:

Starting with our A, X, and B matrices in the matrix equation below, we are looking to solve for for values of the unknown variables that are contained in our X matrix.

For a scalar equation, we would simply do this by dividing both sides by A, where the value for X would be B/A. With matrix equation we will instead need to multiple both sides of the equation by the inverse of the A matrix. This will cancel out the A matrix on the left side, leaving only the X matrix that you are looking for. This means that multiplying the inverse of the A matrix times the B matrix will give you a 1 x N matrix containing the solution for all the variables. The value each row of the solution will correspond to the variable listed in the same row of the X matrix.

It is possible to find the inverse of the A matrix by hand and to multiply this by hand with the B matrix, but using computer tools such as MATLAB or the Matrix Equation Solver in the panel on the left will make these calculations far easier.