(Based on Section 2.2 in Finite Mathematics and Finite Mathematics and Applied Calculus)
Let us start by quickly reviewing some basic terms from the tutorial for Section 2.1.
Q
Just what is a "system of linear equations in two unknowns?"
A 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:
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.
Examples: Matrix Form of a System:
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.
1. Switch two rows We write R1R2 to indicate switching Row 1 and Row 2 |
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2. Multiply a row by a non-zero number For instance, write the instruction 3 R2 next to Row 2 to mean "Multiply row 2 by 3." |
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3. Replace a row by a combination with another row For instance, write the instruction 3 R1-2 R2 next to Row 1 to mean: "Replace Row 1 by three times Row 1 minus twice Row 2. In words: "Three times the top minus twice the bottom." |
Press here to see how we got that. |
R2 + 2 R1 |
Now perform the indiated row operations and press "Check."
You can now go on to the next part of the tutorial for Section 2.2 by pressing "Next Tutorial" on the sidebar.