Linear Equations Solutions: Augmented Matrix and Unknown Variables

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In summary, the conversation discusses the augmented matrix of a system of linear equations with five unknowns and the solution given in terms of arbitrary variables. The basic variables are x, z, and v while y and u are free variables that can be chosen arbitrarily. The solutions are given as a combination of the basic variables and the arbitrary variables.
  • #1
ultima9999
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The augmented matrix of a system of linear equations in the unknowns x, y, z, u and v, has the form
[tex]\left(\begin{array}{ccccc|c}
1 & -3 & 1 & -1 & 0 & -1\\
0 & 0 & 1 & 1 & 2 & 1\\
0 & 0 & 0 & 0 & 1 & -1\\
0 & 0 & 0 & 0 & 0 & 0
\end{array}
\right)[/tex]
Write down all solutions of the system.

The answer to this is (x, y, z, u, v) = (-4 + 3s + 2t, s, 3 - t, t, -1)


I have:
v = -1
u = 1 - 2v - z = 3 - z
z = 1 - 2v - u = 3 - u
-3y = -4 + 2t - x
x = -4 + 2t + 3y

Now, I can see that they just went ahead and made u and y arbitrary. It is perfectly fine to do that?

I'm thinking that we can allow u = t because at that point we do not know what z is; and when we solve for y we do not know what x is. Am I right in thinking that?
 
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  • #2
Yeah you can do that . The basic variables are [tex] x, z , v [/tex]. The free variables are [tex] y, u [/tex]. If we let [tex] y = s [/tex] and [tex] u = t [/tex] then the solution is:

[tex]\left(\begin{array}{c}
-4+3s+2t\\
s\\
3-t\\
t\\
-1\\
\end{array}
\right) = \left(\begin{array}{c}
-4\\
0\\
3\\
0\\
-1\\
\end{array}
\right) + s\left(\begin{array}{c}
3\\
1\\
0\\
0\\
0\\
\end{array}
\right) + t \left(\begin{array}{c}
2\\
0\\
-1\\
1\\
0\\
\end{array}
\right)[/tex]
 
Last edited:
  • #3


Yes, it is perfectly fine to make u and y arbitrary in this case. This is because the system of linear equations has infinitely many solutions, so we can choose any value for u and y and still have a valid solution. This is known as the "free variable" method, where we choose certain variables to be arbitrary and then solve for the remaining variables in terms of those arbitrary ones. In this case, we can choose u = t and y = s, and then solve for the remaining variables in terms of s and t. Your understanding is correct in that we do not know what z and x are at this point, but by choosing u and y to be arbitrary, we can still find a solution for those variables in terms of s and t.
 

1. What is a solution in matrices?

A solution in matrices refers to a set of values that satisfies a system of equations represented in matrix form. It is the point where all the equations intersect and is often represented as a coordinate on a graph.

2. How do you find a solution in matrices?

To find a solution in matrices, you can use methods such as Gaussian elimination, Cramer's rule, or inverse matrices. These methods involve manipulating the matrix equations to isolate the variables and solve for their values.

3. Can a system of equations have more than one solution in matrices?

Yes, a system of equations can have more than one solution in matrices. This is known as an infinite or infinitely many solutions. It occurs when the equations are dependent on each other and share the same solution.

4. What does it mean if a system of equations has no solution in matrices?

If a system of equations has no solution in matrices, it means that there is no point of intersection between the equations. This can occur when the equations are parallel or when they have conflicting solutions.

5. Can a solution in matrices be verified?

Yes, a solution in matrices can be verified by substituting the values into the original equations and checking if they are satisfied. If the equations are satisfied, then the solution is correct.

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