Construct 3 Augmented Matrices for Linear Systems

In summary, three augmented matrices can be constructed for linear systems with a solution set of $x_1=3, x_2=-2, x_3=-1$. These matrices can be obtained by arranging the rows of an RREF matrix or by performing row operations on the given matrices. Thank you for your help in this forum.
  • #1
karush
Gold Member
MHB
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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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  • #2
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]
$
 
  • #3
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
 

1. What is a Construct 3 Augmented Matrix for Linear Systems?

A Construct 3 Augmented Matrix for Linear Systems is a matrix that contains all the coefficients of a system of linear equations, along with an additional column representing the constants of each equation. This type of matrix is commonly used to solve systems of linear equations using the Gaussian Elimination method.

2. How do you create a Construct 3 Augmented Matrix for Linear Systems?

To create a Construct 3 Augmented Matrix for Linear Systems, you first need to write down all the coefficients of the equations in the system. Then, you add an additional column on the right side of the matrix to represent the constants. Finally, you organize the coefficients and constants in the matrix according to the variables in the equations.

3. What is the purpose of using a Construct 3 Augmented Matrix for Linear Systems?

The main purpose of using a Construct 3 Augmented Matrix for Linear Systems is to solve systems of linear equations. By organizing all the coefficients and constants in a matrix, it becomes easier to apply the Gaussian Elimination method to find the solution to the system.

4. What are the advantages of using a Construct 3 Augmented Matrix for Linear Systems?

One of the main advantages of using a Construct 3 Augmented Matrix for Linear Systems is that it simplifies the process of solving systems of linear equations. It also allows for a more organized and systematic approach to solving these types of problems. Additionally, it can be easily extended to larger systems with more equations and variables.

5. Are there any limitations to using a Construct 3 Augmented Matrix for Linear Systems?

One limitation of using a Construct 3 Augmented Matrix for Linear Systems is that it can only be used for systems of linear equations. It cannot be applied to non-linear systems. Additionally, the Gaussian Elimination method may not always work for certain types of systems, which can limit the usefulness of this type of matrix.

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