Solving MIT OCW Problem with A Matrix

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Discussion Overview

The discussion revolves around solving a problem from MIT OpenCourseWare related to a matrix equation involving reduced row echelon form. Participants explore the nature of solutions to the system represented by the matrix and the implications of different interpretations of the problem.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that the solution to the system can be represented as a specific vector based on the sum of the columns of matrix A.
  • Another participant argues that the solution is not a single vector but rather a general solution, depending on whether R represents A or the augmented matrix [A|b].
  • A further contribution clarifies the equations derived from R=A and discusses the general solution involving free variables.
  • Questions are raised about the reasoning behind setting equations to zero when interpreting R=A versus R=[A|b].
  • Another participant provides a reformulation of the problem, expressing the general solution in terms of free variables and a particular solution.

Areas of Agreement / Disagreement

Participants express differing views on whether the solution is a specific vector or a general solution, indicating that multiple competing interpretations remain unresolved.

Contextual Notes

There is ambiguity regarding the definition of the matrix R and whether it represents the original matrix A or an augmented matrix, which affects the interpretation of the solution. The discussion also highlights the importance of specifying the problem clearly to avoid confusion.

Who May Find This Useful

Readers interested in linear algebra, particularly those studying matrix equations and solutions to systems of equations, may find this discussion relevant.

amcavoy
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I found this problem on the MIT OpenCourseWare website, but a solution was not given. I tried it out, so I was wondering if my answer is correct. The problem is as follows:

----------------------------------------------------------

Suppose A is reduced by the usual row operations to

[tex]R=\begin{bmatrix}1 & 4 & 0 & 2 \\ 0 & 0 & 1 & 2 \\ 0 & 0 & 0 & 0\end{bmatrix}.[/tex]

Find the complete solution (if a solution exists) to this system involving the original A:

Ax = sum of the columns of A.

----------------------------------------------------------

I figured if you took the columns of A and added them together, it would be the same as multiplying a by <1,1,1>. Thus I have the following:

[tex]A\mathbf{x}=A\begin{bmatrix}1 \\ 1 \\ 1\end{bmatrix}.[/tex]

So the solution is the vector <1,1,1>. Is this correct?

Thank you.
 
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no,the solution is a general solution not a single solution or no solution. depending on what R is R=A or R=A|b(augmented matrix) the solution is
R=A ( id oubt its this one)
x1+4*x2+2*x4=0;
x3+2*x4 = 0

R=A|b
x1+4*x2=2
x3 =2
therefore the solution is ->
x=
|2-4t|
|..t..|
|..2..|

you arelooking at the rows.
[]if there was no solution a row would have all 0s except the last one=#(!=0)
thus 0=# which is false
[]if there was 1 solution than all the xi would be solvable...that is there must be a few rows where its just xi=# like the 2nd row. THen the remaining rows would be solved by the other linear equations in the matrix.
[]if there was many solutions than you'd have hte above.
 
Last edited:
So, for R=A:

[tex]x_1+4x_2+2x_3=0[/tex]

[tex]x_3+2x_4=0[/tex]

For which the general solution is:

[tex]x_2\begin{bmatrix}-4 \\ 1 \\ 0 \\ 0\end{bmatrix}+x_4\begin{bmatrix}4 \\ 0 \\ -2 \\ 1\end{bmatrix}\quad\forall x_2,x_4\in\mathbb{R}[/tex]

I understand how to find the general solution and everything, but what I would like to know is why you set the equations equal to zero. If R=A, then the sum of the columns of A should equal the sum of the columns of R, which is non-zero. Could you just explain your steps when you set R=A and R=[A|b]?

Thanks again.
 
if the system is Ax=b; then R=[A|b] where the last column of R is b and each remaining column of R represents a xi; I believe that is the solution

however because you did not state the question the solution could be R=A where you did not state b...and so i assumed b=O
 
Alright I understand what you are trying to say.

[tex]A\mathbf{x}=A\mathbf{u}\quad \mathbf{u}=\begin{bmatrix}1 \\ 1 \\ 1 \\ 1\end{bmatrix}[/tex]

[tex]A(\mathbf{x}-\mathbf{u})=0[/tex]

So upon solving, I come up with the general solution which is:

[tex]x_2\begin{bmatrix}-4 \\ 1 \\ 0 \\ 0\end{bmatrix}+x_4\begin{bmatrix}-2 \\ 0 \\ -2 \\ 1\end{bmatrix}+\begin{bmatrix}1 \\ 1 \\ 1 \\ 1\end{bmatrix}\quad\forall x_2,x_4\in\mathbb{R}[/tex]

If I didn't make any arithmetic mistakes.
 

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