A First Course in Linear Algebra, 2017a

14 Systems of Equations
1.2.2 Gaussian Elimination
The work we did in the previous section will always find the solution to the system. In this section, we
will explore a less cumbersome way to find the solutions. First, we will represent a linear system with
an augmented matrix. A matrix is simply a rectangular array of numbers. The size or dimension of a
matrix is defined as m × n where m is the number of rows and n is the number of columns. In order to
construct an augmented matrix from a linear system, we create a coefficient matrix from the coefficients
of the variables in the system, as well as a constant matrix from the constants. The coefficients from one
equation of the system create one row of the augmented matrix.
For example, consider the linear system in Example 1.9
x + 3y + 6z = 25
2x + 7y + 14z = 58
2y + 5z = 19
This system can be written as an augmented matrix, as follows
⎡
1 3 6
⎤
25
⎣ 2 7 14 58 ⎦
0 2 5 19
Notice that it has exactly the same information as the original system. ⎡Here ⎤it is understood that the
1
first column contains the coefficients from x in each equation, in order, ⎣ 2 ⎦. Similarly, we create a
⎡ ⎤
0
3
column from the coefficients on y in each equation, ⎣ 7 ⎦ and a column from the coefficients on z in each
2
⎡ ⎤
6
equation, ⎣ 14 ⎦. For a system of more than three variables, we would continue in this way constructing
5
a column for each variable. Similarly, for a system of less than three variables, we simply construct a
column for each variable.
⎡ ⎤
25
Finally, we construct a column from the constants of the equations, ⎣ 58 ⎦.
19
The rows of the augmented matrix correspond to the equations in the system. For example, the top
row in the augmented matrix, [ 1 3 6 | 25 ] corresponds to the equation
Consider the following definition.
x + 3y + 6z = 25.