Definition: A linear equation is an equation of the form
c1x1 + c2x2 + … + cnxn = d
, where the ci’s are constants and the xi’s are variables. The solutions to a linear equation are the possible xi’s that satisfy the equation.
When we talk about solutions of linear equations, we have an ambient space in mind. In other words, the number of variables should be specified. For example, 6x = 5 can be considered a linear equation in just x, or in x, y. The space of solutions will depend on this.
Examples:
6x = 5: The solution space in ℝ is a point. The solution space in ℝ2 is a linear.
3x + 2y = 6: Think about solution space.
4x + 2y + z = 0: Think about solution space.
An equation in n variables yeilds a n − 1-dimensional space.
We can see that geometrically, the solution space will a point, a line, a plane, or some other straight object.
Definition: A system of linear equations is a list of linear equations. The solutions to a system of linear equation is the possible xi’s that satisfy all linear equations on the list.
The solution space of a system of linear equations is the intersection of the solution space to each linear equation in the system.
Theorem: The number of solutions to a system of linear equations will be either zero, one, or infinity.
The number of soluitions can be determined. In this course, we will learn how.
Examples:
Think of some examples here with class.
Definition: A system of linear equations is said to be consistent is there exist at least one solution. It is inconsistent if it is not consistent.
Definition: Given an ordering of the variables, the leading variable of a linear equation is the first variable with a nonzero coefficient in that linear equation.
Definition: A square linear system of equation is a linear system of equation with the same number of variables and equations.
Definition: A square linear system of equation is triangular if the leading variable of the ith equation is xi.
Examples:
Think of some examples here with class. Remember to solve them with back substitution.
Definition: A linear system is in echelon form if the leading variable are strictly increasing from top to bottom. Equations without variables are place at the bottom. In such a linear system, any variable that is not a leading variable is called a free variable.
Examples:
Think of some examples here with class. Be sure to explain why a free variable is called a free variable.