  # - Linear Algebra

Solving a system of simultaneous equations is easy in Matlab. It is, maybe, the most used operation in science and engineering, too. Solving a set of equations in linear algebra on a computer is nowadays as basic as doing arithmetic additions using a calculator. Let's see how easy Matlab makes this task.

Go to Video Summary

We'll solve the set of linear equations given below.

To solve these equations, no prior knowledge of matrix algebra or linear methods is required. The first two steps described below are really basic for most people who know just a little bit of linear algebra...

Consider the following set of equations for our example.

-6x = 2y - 2z + 15
4y - 3z = 3x + 13
2x + 4y - 7z = -9

### First, rearrange the equations.

Write each equation with all the unknown variables on the left-hand side and all known quantities on the right side. Thus, for the equations given, rearrange them such that all terms involving x, y and z are on the left side of the equal sign.

-6x - 2y + 2z = 15
-3x + 4y - 3z = 13
2x + 4y - 7z = -9

### Second, write the equations in a matrix form

To write the equations in the matrix form Ax = b, where x is the vector of unknowns (you have to arrange the unknowns in vector x), the coefficients of the unknowns in matrix A and the constants on the rigth hand of the equations in vector b. In this particualar example, the unknown column  vector is

x =  [x y z]'

the coefficient matrix is

A = [-6 -2  2
-3  4 -3
2  4 -7]

and the known constant column vector is

b = [15 13 -9]'

Note than the columns of A simply are the coefficients of each unknown from all the three expressed equations. The apostrophe at the end of vectors x and b means that those vectors are column vectors, not row ones (it is Matlab notation).

### Third, solve the simultaneous equations in Matlab

Enter the matrix A and vector b, and solve for vector x with the command

x = A\b

(note that the '\' symbol is different from the ordinary division '/' sign).

The Matlab answer to the lines above is:

A =
-6    -2     2
-3     4    -3
2     4    -7

b =
15
13
-9

x =
-2.7273
2.7727
2.0909

You can test the result by performing the substitution and multiplying Ax to get b, like this:

A*x

ans =
15.0000
13.0000
-9.0000

which corresponds to the column vector b, indeed.  