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Welcome to our Math lesson on Special Cases of Linear Equations, this is the first lesson of our suite of math lessons covering the topic of Relationship between Equations in Linear Systems. Systems of Equations with One Linear and One Quadratic Equation, you can find links to the other lessons within this tutorial and access additional Math learning resources below this lesson.
In the previous tutorial, we explained how to solve a system of linear equations. Recalling what we said in tutorial 9.7, it is clear that we can identify three methods for solving such systems:
However, all examples discussed in tutorial 9.7 were carefully chosen to give a single pair of coordinates as a solution set. Such systems of linear equations that give a specific number pair as solutions are called independent systems of linear equations.
Moreover, all values found for the variables in the previous tutorial were integers. It is clear that such examples represent only a small portion of all possible systems containing linear equations. In the next paragraph, we are going to explore some special types of linear equations that require attention.
Let's take a look again at the first system of linear equations provided in the Introduction section of this tutorial.
If we use the elimination method to solve it, then the first equation must be multiplied by - 2. This yields
Adding both equations yields
This new equation has no solution, as no number multiplied by zero gives a non - zero number. Therefore, the original system of equations has no solutions.
If we try the substitution method instead (for example express y in terms of x in the first equation and substitute it in the second equation), this yields
and
This too, is an equation with no solution, as no number can multiply by zero and give 1.
Last, let's try to solve this system graphically. Thus, for the first equation, we take x = 0 and x = 3. The corresponding y-values are y = 3 and y = 0. Therefore, the points A(0, 3) and B(3, 0) belong to the graph of the first equation, so they are used to plot it.
On the other hand, if we take x = 0 and x = 3.5 in the second equation, the corresponding y-values are y = 3.5 and y = 0. Therefore, points C(0, 3.5) and B(3.5, 0) belong to the graph of the second equation, so they are used to plot it.
This is the figure obtained by plotting the two above graphs in the same coordinates system.
As you see, the two graphs are parallel. It is understandable as the system of equations had no solutions therefore the lines that represent each equation must have no common points.
In this way, we obtain an important conclusion about the systems of linear equations:
"If a system of linear equations has no solution, the graphs that represent each equation are parallel, i.e. they do not have any common point."
The systems of equations that have no solution are called inconsistent.
Now, let's consider the other system of linear equations we gave in the Introduction section, i.e.
Let's try to solve it through the elimination method. Thus, multiplying the first equation by - 2, yields
Now, let's add the two equations to eliminate any variables. Thus,
Since this equation is true for any value of x and y, we say this system of linear equations has an infinite number of solutions; practically all numbers that give a true result for the first equation are solutions for the second equation as well. Therefore, since all solutions of the first equation are also true for the second one, it is obvious that we are dealing with equations that have the same graph. Such a system of equations is called dependent, as well as the equations contained in it.
The figure below shows the graph of the two linear equations of the last system.
Determine whether the following systems of linear equations are independent, inconsistent or dependent.
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