Properties of systems of linear equations

In summary: If, however, you are thinking about the matrix as representing a system of equations with real world solutions, then the augmented matrix is\begin{bmatrix}1 & 2 & 3 & a \\ 4 & 5 & 6 & b \\ 7 & 8 & 9 & c\end{bmatrix}
  • #1
hholzer
37
0
If you have, as an example, a 3x3 matrix:

A = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9} }

Such that Ax = 0

and you perform row reductions on it
and at a certain point it reduces to:
{ {1, 2, 3}, { 0, 1, 2}, {0, 1, 2} }

Then you could legitimately remove
one of {0, 1, 2} from the system
as it contributes nothing special, right?

As such, this would indicate that you have
an infinite number of solutions with a
free variable, yes?

(Geometrically: if in the 3x3 case above
you end up with two rows that are the
same after row reductions, then it would
suggest that having a single point as a
solution is an impossibility. As a single point
could only arise from three separate planes.).
 
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  • #2
What "system" are you talking about removing "{0, 1, 2}" from? You said nothing about a system before that.

If you are thinking about that matrix as representing a system of equations, say x+ 2y+ 3z= a, 4x+ 5y+ 6z= b, and 7x+ 8y+ 9z= c, then the augmented matrix is
[tex]\begin{bmatrix}1 & 2 & 3 & a \\ 4 & 5 & 6 & b \\ 7 & 8 & 9 & c\end{bmatrix}[/tex]

Subtracting 4 times the first row from the second and 7 times the first row from the third gives
[tex]\begin{bmatrix} 1 & 2 & 3 & a \\0 & -3 & -6 & b- 4a \\ 0 & -6 & -12 & c- 7a\end{bmatrix}[/tex]
Dividing the second row by -3 and the third row by -6 gives
[tex]\begin{bmatrix} 1 & 2 & 3 & a \\ 0 & 1 & 2 & \frac{4a- b}{3} \\ 0 & 1 & 2 & \frac{7a- c}{6}\end{bmatrix}[/tex]
In which the first three columns are now the same as yours. Subtracting the second row from the third gives
[tex]\begin{bmatrix} 1 & 2 & 3 & a \\ 0 & 1 & 2 & \frac{4a- b}{3} \\ 0 & 0 & 0 & \frac{2b- a- c}{6}\end{bmatrix}[/tex].

But we cannot simply ignore that last row. It corresponds to the equation
[tex]0x+ 0y+ 0z= \frac{2b- a - c}{6}[/tex]
which is true only if 2b- a- c= 0. If that is true, then there exist an infinite number of solutions to the original system. If it is not true, then there is NO solution.

(Geometrically, if two or all three of the planes are parallel then there is NO solution.)
 
  • #3
I had made mention of Ax = 0 because I was talking about
the homogeneous case.
 

1. What are systems of linear equations?

Systems of linear equations are a set of two or more equations that have two or more variables. These equations are considered linear because the highest power of the variable is one.

2. How do you solve systems of linear equations?

There are several methods for solving systems of linear equations, including substitution, elimination, and graphing. Each method involves manipulating the equations to eliminate one variable and solve for the other.

3. What are the different types of solutions for systems of linear equations?

There are three types of solutions for systems of linear equations: one unique solution, infinite solutions, or no solutions. A unique solution means that the system has a single ordered pair that satisfies all the equations. Infinite solutions occur when the equations are equivalent and overlap, resulting in a line or plane of solutions. No solutions occur when the equations are inconsistent and do not intersect.

4. How do you check if an ordered pair is a solution to a system of linear equations?

To check if an ordered pair is a solution to a system of linear equations, you can plug in the values for the variables into each equation and see if the resulting equations are true. If the ordered pair satisfies all the equations, then it is a solution to the system.

5. How are systems of linear equations used in real life?

Systems of linear equations are used in various fields, including science, engineering, economics, and business. They can be used to model and solve real-life problems, such as calculating the cost and revenue of a business, determining the optimal production levels for a factory, or predicting the trajectory of a projectile.

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