Free variables in linear algebra?

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Homework Help Overview

The discussion revolves around the concept of free variables in linear algebra, specifically in the context of a matrix and its row reduction. Participants are exploring how to identify free variables based on the number of equations and variables present in the matrix.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the relationship between the number of variables and independent equations to determine the existence of free variables. Questions arise about which specific variables can be considered free and the implications of pivot columns in this determination.

Discussion Status

There is an ongoing exploration of the definitions and identification of free variables. Some participants provide insights into the selection process for free variables, while others seek clarification on the assumptions made regarding the matrix structure.

Contextual Notes

Participants note the importance of distinguishing between the columns representing variables and the constants in the context of an augmented matrix. There is some confusion regarding the interpretation of the matrix columns and their roles in determining free variables.

TheColorCute
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My questions is short and to the point: What exactly is a free variable (in a matrix, for example).
How do you know if a variable is free?

Here's a matrix that (apparently) has a free variable:

[1 4 -3 0 0]
[-2 -7 5 1 0 ]
[-4 -5 7 5 0 ]

Row reducing the matrix we end up with:

[1 4 -3 0 0 ]
[0 1 -1 1 0 ]
[0 0 6 -6 0 ]

Apparently this matrix has a variable. Where is it and how do I know that it's free?

Thanks! :)
 
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Generally, if you have m unknowns and n independent and consistent equations, where n≤m, you have m-n free variables. Reducing a matrix allows you to find out how many equations you have that are actually independent. In your example, you have 4 variables and only 3 independent equations, so one variable is free.

Which variable is free is arbitrary. You get to choose, but when you have a reduced echelon matrix, it makes sense to use the variables that don't correspond to pivot columns, just because it makes the algebra more straightforward.
 
Ohhhh OK. So, to clarify, in this matrix we have 5 columns (but only four of which have constants in them), so we have four variables. Then we have three rows (each row equals an equation). So we have 4 variables minus 3 rows which is equal to 1 free variable. We don't want to choose any position in the pivot columns as free variables, so that eliminates columns 1, 2, and 3. So that leaves us with columns 4. So we could choose either x3 or x4 as our free variable? Or are they both free variables? Can we only have one?
 
The convenient choice would x4. In this particular case, since they turn out to be equal to each other, you could use either x3 or x4 pretty easily, but it's one or the other, not both. Generally, though since there's a pivot in the third column, you wouldn't use x3.
 
TheColorCute said:
Ohhhh OK. So, to clarify, in this matrix we have 5 columns (but only four of which have constants in them), so we have four variables.
All five columns have constants in them. The other posters in this thread are assuming that your matrix is an augmented matrix that represents the matrix equation Ax = 0. Augmented matrices usually have a dotted vertical line separating the coefficients of the matrix from the column of constants, something like this:
[1 4 -3 0 | 0]
[-2 -7 5 1 | 0 ]
[-4 -5 7 5 | 0 ]


The elements of A make up the first four columns. The elements of the zero vector are fifth column.
TheColorCute said:
Then we have three rows (each row equals an equation). So we have 4 variables minus 3 rows which is equal to 1 free variable. We don't want to choose any position in the pivot columns as free variables, so that eliminates columns 1, 2, and 3. So that leaves us with columns 4. So we could choose either x3 or x4 as our free variable? Or are they both free variables? Can we only have one?
 

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