What to do with a zero column in a system of linear equations?

In summary, the conversation discusses whether a zero column in a system of linear equations should be included in the solution set, and the role of homogeneity in determining this. It is concluded that in a homogeneous system, the zero column represents a free variable and in an inhomogeneous system it may lead to no solutions. In the specific example given, x_3 is also identified as a free variable with no impact on the solution set.
  • #1
JinM
66
0
Hello, just started a LA course, and I have a small question.

If I get a zero column while solving for a system of linear equations, and that column corresponds to, say, variable x_{5}, do we just not include it in the solution set since it appears in no equation of the system? Or is it a free variable (that has no purpose)?
 
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  • #2
That depends on what kind of system you have. If it's a homogeneous system (Ax = 0) then you just have 0=0, and x_5 is indeed just a free variable. However, if you have an inhomogeneous (Ax= b) then you have a possibility that 0=b_5 and b_5 =\=0. In this case, you have an obviously false statement, and the system has no solutions.
 
  • #3
Thanks. We still haven't discussed homogeneity. I don't see, though, how you get 0=0. I have a 2 x 3 system of linear equations and I eventually get this (through Gauss-Jordan),

[tex]x_1 + 3x_4 - x_5 -x_6 = 32[/tex]
[tex]x_2 +2x_4 -x_5 = 28[/tex]

x_3 is missing in both equations, hence the zero column that I mention before appearing in the matrix. Do I still have to test homogeneity to determine the solution set here?
 
  • #4
In this case, x_3 is just a free variable. Since you only have 2 equations, neither of which gave 0=0 then your system does have a solution(infinitely many solutions in fact). x_3 would still be included in the solution set as a free variable just like x_4-x_6. It just turns out that nothing depends on the value of x_3.
 
  • #5
Thanks, Vid. :smile:
 

FAQ: What to do with a zero column in a system of linear equations?

What is a zero column?

A zero column is a column in a matrix or system of linear equations where all of the values are equal to zero.

Why is a zero column important when solving?

A zero column is important because it can provide important information about the matrix or system of linear equations being solved. It can help identify inconsistencies or redundancies in the equations and can also affect the solution of the system.

What does a zero column indicate?

A zero column can indicate various things depending on the context. In a matrix, it can indicate linear dependence between columns. In a system of linear equations, it can indicate a solution where one or more variables have a value of zero. In both cases, it can also indicate inconsistencies or redundancies in the equations.

How can a zero column affect the solution of a system of linear equations?

A zero column can affect the solution of a system of linear equations by indicating that one or more variables have a value of zero, resulting in a solution with fewer unknowns. It can also indicate an inconsistent or redundant system, which may not have a solution at all.

What steps can be taken when encountering a zero column while solving?

If a zero column is encountered while solving, it is important to analyze the matrix or system of equations to understand the implications of the zero column. This may involve checking for linear dependence, inconsistencies, or redundancies. Depending on the situation, it may also be necessary to make adjustments to the equations or use different techniques to find a solution.

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