How to Find the General Solution for a Matrix with a Free Variable?

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Discussion Overview

The discussion revolves around finding the general solution for matrices in reduced-row echelon form, specifically focusing on cases where free variables are present. Participants explore the implications of different matrix configurations on the solution space, including the null space of a matrix.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents a matrix in reduced-row echelon form and describes how to derive a general solution involving free variables.
  • Another participant suggests translating the matrix representation back into equations to clarify the relationships between variables.
  • A subsequent post questions the formulation of the problem, emphasizing the need to correctly define the context of finding a general solution.
  • One participant asserts that the general solution pertains to the null space of the matrix and provides a specific solution format based on the matrix's structure.
  • Another participant challenges the previous claims, indicating a misunderstanding of matrix multiplication and the implications of free variables.
  • Further clarification is provided regarding the identification of free variables and the conditions under which the general solution may be inconsistent.

Areas of Agreement / Disagreement

Participants express differing views on the formulation of the question and the interpretation of the general solution. There is no consensus on the correct approach to defining the general solution for the given matrices, leading to multiple competing perspectives.

Contextual Notes

Some participants highlight potential misunderstandings regarding the definitions of general solutions and null spaces, as well as the implications of specific matrix configurations on the solution space.

Ad123q
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I was just wondering, if I had a matrix in reduced-row echelon form, say,

1 0 0 2
0 1 3 1
0 0 0 0

then I could write the general solution as a1= -2a4 , a2= -3a3-a4, with a3 and a4 defined in terms of these. (I obtained this solution by putting a1, a2, a3 and a4 under the first, second, third and fourth columns, equating the matrix to zero, and solving for the unknowns under the leading 1's).

But how would I find the general solution of, say

0 1 0 0
0 0 1 0
0 0 0 1
0 0 0 0 ?

Any help much appreciated.
 
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If you are having a hard time deciphering the matrix representation you can always put them back in equations

In the latter case:

0a + b + 0c + 0d = 0
Thus b = 0

0a + 0b + c + 0d = 0
Thus c = 0

0a + 0b + 0c + d = 0

and 0 = 0 for the last equation

Thus the only vectors to satisfy the matrix are:

[x, 0, 0, 0] transpose. Where x is any real number (I assume these are matrices over R)
 
Thanks, so if I was to write x1, x2, x3, x4 under the matrix in question, would the solution space for the general solution just be x = {x1 x2 x3 x4} = {x1 0 0 0} ?
 
Ad123q said:
But how would I find the general solution of, say

0 1 0 0
0 0 1 0
0 0 0 1
0 0 0 0 ?
I assume the last column is the RHS of a system of linear equations. Note that the last entry of the third row of the matrix is non-0 whereas all the coefficients of the unknowns you are solving for are 0. What does that tell you?
 
It would have helped a lot if you had asked the question correctly! There is no such thing as a "general solution of a matrix" any more than there is a general solution of a number.

What you were asking for is a general solution to the equation Ax= 0, or, equivalently, the null space of A.
The matrix equation
\left[\begin{array}{cccc}0 & 1 & 0 & 0\\0 & 0 & 1 & 0\\0 & 0 & 0 &1\\ 0 & 0 & 0 & 0\end{array}\right]\left[\begin{array}{c}x_1 \\ x_2\\ x_3\\ x_4\end{array}\right]= \left]\begin{array}{c}0 \\ 0 \\ 0 \\ 0\end{array}\right]
reduces, as you say, to x1= 0, x2= 0, x3= 0 and 0= 0. Obviously, x1, x2, and x3 must all be 0 but there is no restriction at all on x4. The "general solution" is [0 0 0 x] where x can be any number. The null space is the subspace of R4 spanned by [0 0 0 1].
 
Almost right, except I think you got your matrix multiplication backwards; as said before, x2, x3, and x4 must be zero, and there is no restriction on x1.

:)
 
Correct you write your matrix in terms of the free variable which in this case would be x1.

So [1,0,0,0] would be the solution set. Also if this is an augmented matrix the general solution would be inconsistent since, 0x1 + 0x2 + 0x3 = 1, cannot be true.
 

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