Given augmented matrix [A|0]: ->RREF ->x=?

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SUMMARY

The discussion centers on the interpretation of the reduced row echelon form (RREF) of an augmented matrix [A|0] and its implications for the solution vector x. The RREF derived from the matrix is confirmed as correct, yielding the equations 0x + 1y + 0z = 0 and 0x + 0y + 1z = 0, which lead to y = 0 and z = 0. However, the variable x is not uniquely determined; it can take any value, indicating that the solution space is spanned by the vector <1, 0, 0>. The confusion arose from misinterpreting the solution manual's assertion that x = 1.

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  • Understanding of linear algebra concepts, specifically reduced row echelon form (RREF).
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  • Ability to interpret and manipulate systems of linear equations.
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators teaching these concepts. This discussion is beneficial for anyone looking to deepen their understanding of solving linear systems and interpreting RREF results.

RogerDodgr
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Given augmented matrix [A|0]: -->RREF -->x=?

I started with:
|0 1 0|0|
|0-3 1|0|
|0 0 2|0|
--->RREF--->
|0 1 0|0|
|0 0 1|0|
|0 0 0|0|
The RREF is correct according to solution manual, but
the solution manual says that the vector x =
|1|
|0|
|0|

I think I understand why x_3 and x_2 =0, But I don't understand why x_1 =1.
 
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After have the "RREF" what do you do with it?

what that tells you is that solving Ax= 0 is the same as solving
\left[\begin{array}{ccc}0 &amp; 1 &amp; 0 \\ 0 &amp; 0 &amp; 1\\ 0 &amp; 0 &amp; 0 \end{array}\right]\left[\begin{array}{c}x \\ y \\ z\end{array}\right]= \left[\begin{array}{c}0 \\ 0 \\ 0\end{array}\right]

which is the same as solving the equations 0x+ 1y+ 0z= 0, 0x+ 0y+ 1z= 0, 0x+ 0y+ 0z= 0.
Obviously the first equation tells you that y must be 0. The second equation tells you that z= 0. The third equation doesn't tell you anything!

So how do you know that x= 1? You don't! In fact, x can be anything and <x, 0, 0> would still satisfy that equation. The solution is any multiple of <1, 0, 0>. The "solution space" is the vector space spanned by <1, 0, 0>. In fact, you could use <x, 0, 0> for any x but '1' happens to be a nice easy number.
 
Thanks for your help HallsofIvy, I misinterpreted the solution.
 

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