Construct 3 Augmented Matrices for Linear Systems

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SUMMARY

This discussion focuses on constructing three augmented matrices for linear systems with the solution set defined as $x_1=3$, $x_2=-2$, and $x_3=-1$. The matrices provided include variations of the reduced row echelon form (RREF) and demonstrate how to rearrange rows while maintaining the solution set. The user emphasizes that while creativity in matrix construction may be questioned, the matrices presented are valid. Additionally, the discussion highlights the use of row operations to derive new matrices from existing ones.

PREREQUISITES
  • Understanding of augmented matrices
  • Familiarity with reduced row echelon form (RREF)
  • Knowledge of row operations in linear algebra
  • Basic concepts of linear systems and their solutions
NEXT STEPS
  • Explore advanced row operations in linear algebra
  • Learn about the implications of matrix rearrangements on solution sets
  • Study the properties of linear systems and their uniqueness
  • Investigate the application of augmented matrices in real-world problems
USEFUL FOR

Students of linear algebra, educators teaching matrix theory, and anyone interested in solving linear systems using augmented matrices.

karush
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$\tiny{311.1.1.26}$
Construct 3 augmented matrices for linear systems whose solution set is $x_1=3, \quad x_2=-2, \quad x_3=-1$
ok the only thing I could think of is just rearrange the rows of an RREF matrix. albeit losing the triangle format
hopefully no typos
$\left[\begin{array}{rrr|rr}
1& 0& 0& 3\\ 0& 1& 0& -2\\ 0& 0& 1& -1\\
\end{array}\right]
\quad
\left[\begin{array}{rrr|rr}
0& 1& 0& -2\\ 1& 0& 0& 3\\ 0& 0& 1& -1\\
\end{array}\right]
\quad
\left[\begin{array}{rrr|rr}
0& 1& 0& -2\\0& 0& 1& -1\\ 1& 0& 0& 3\\
\end{array}\right]
$
 
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If the problem only asks for "3 augmented matrices for linear systems whose solution set is $x_1=3$, $x_2=−2$, $x_3=−1$" then that is perfectly good. Your teacher might complain that you are not being creative enough but that is the fault of the question! You can get other matrices by "row operations" on those matrices, basically the reverse of using row operations to solve matrix equations.

For example, adding 3 times the second row of the first of your three matrices to the first row gives
$\left[\begin{array}{rrr|rr}
1& 3& 0& -3\\ 0& 1& 0& -2\\ 0& 0& 1& -1\\
\end{array}\right]
$
 
ok that helps a lot i will try to get back to this tmro
btw you have really helped me a lot in this forum, and deeply appreciate it
I'm retired so pretty much on my own except for the zoom classes
 

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