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![]() | Part B. Solving by Pivoting |
![]() | Part C. Row-Reduced Echelon Form |

Part A: Setting Up a System & Doing Row Operations
Question
Just what is a "system of linear equations in two unknowns?"
Answer
First, a linear equation in two unknowns x and y is an equation of the form
where a, b, and c are numbers, and where a and b are not both zero.
Examples: Linear Equations:
| 4x + 5y = 0 | This has a = 4, b = 5, c = 0 |
x y = 11 | This has a = 1, b = 1, c = 11 |
| 4x = 3 | This has a = 4, b = 0, c = 11 |
Second, a system of linear equations is just a collection of these beasts. To solve a system of linear equations means to find a solution (or solutions) (x, y) that simultaneously satisfies all of the equations in the system.
Example: System of Linear Equations:
y = 1 | This is a system of two linear equations with solution x = 5, y = 4. |

Setting Up a System of Linear Equations in Matrix Form
Simply put, the augmented matrix form of a single linear equation ax + by = c is just the single row=matrix [a
b
c]. The augmented matrix of a whole system is then a matrix with one row for each equation in the system.
Example: Matrix Form of a System:
2y = 53x ![]() ![]() = 9 |
|

Doing Row Operations
Here are three things you can do to a system of equations without effecting the solution:
Corresponding to these changes are the following row operations on an augemented matrix.
What is the effect of performing the following operation?
![]() |
2 | 2 | ![]() |
|
1 | R2 + 2 R1 |
![]() | Part B. Solving by Pivoting |
![]() | Part C. Row-Reduced Echelon Form |
