Finding a smaller subset within a set

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Discussion Overview

The discussion revolves around the problem of finding a smaller subset of vectors within a given set of vectors in linear algebra, specifically focusing on linear combinations and the consistency of systems of equations. Participants explore methods for solving these problems, including Gaussian elimination and the use of augmented matrices.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about how to find a linear combination of two vectors that equals a third vector without resorting to exhaustive methods.
  • Another participant questions the consistency of their solution matrix, noting that a non-zero entry in the last row indicates inconsistency.
  • A different participant clarifies that inconsistency implies no solutions exist and suggests that the original description may not accurately reflect inconsistency.
  • One participant shares their augmented matrix and the results of their row reduction, indicating a belief that the resulting matrix is inconsistent.
  • Another participant provides an alternative reduction result and argues that the matrix is not inconsistent, explaining the conditions under which inconsistency arises.
  • There is a discussion about the difference between row and column operations and their impact on the results of the matrix.

Areas of Agreement / Disagreement

Participants exhibit disagreement regarding the consistency of the matrix and the interpretation of the results from Gaussian elimination. There is no consensus on the correct approach or solution to the problem presented.

Contextual Notes

Participants reference specific matrices and their transformations, but there are unresolved aspects regarding the assumptions made in their calculations and the definitions of consistency in this context.

KongMD
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Hi, everyone. I'm really at a loss as to how to solve these problems. For example, a set S of three vectors is given, and there is a supposedly a linear combination of two of the sets that equals the third set. How do I go about solving a problem like this without writing out multiples of every set and comparing them? Is there a formula? RREF returns an inconsistent matrix, when the sets are grouped together, so I see no concrete way to solve this.

I looked in my textbook (Linear Algebra: A Matrix Approach v2e by Spence, et al.) at the example on "smaller subsets", but it just shows the original set of vectors followed by 3*v1 + 2*v2 = v3, with no explanation about how they obtained those numbers.EDIT: Note - the subset must be within the same span as S
 
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do you know how to do gaussian elimination?
 
Yes. I thought that was the way to solve the problem, at first, but the last row in my solution matrix has the co-efficient matrix equaling 1. Shouldn't it equal 0 if it's consistent, because the solution vector is all zeros, or does consistency not matter?
 
Consistency does matter, as inconsistency implies there are no solutions. What you described does not sound inconsistent, though. (But that could be because it is difficult to visualize what you are describing in the last post.)
I think it would help if you posted your work.
 
Ok, here's what I've done so far. There are three sets in the original question, [-1 1], [2 -2], and [1 0]. I put those in an augmented matrix like so (sorry for crummy formatting):

1 2 1 0
1 -2 0 0

Why won't this format correctly?
\left(\begin{array}{cccc}1&2&1&0\\1&-2&0&0\end{array}\right)

RREF'ing the above matrix yields this solution matrix:

1 -2 0 0
0 0 1 0

In R2, 0 cannot be equal to 1, therefore it's inconsistent.
 
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Your code formatted correctly for me.

[tex]\left(\begin{array}{cccc}1&2&1&0\\1&-2&0&0\end{array}\right)[/tex]

1. When reducing this matrix I get

[tex]\left(\begin{array}{cccc}1&-2&0&0\\0&4&1&0\end{array}\right)[/tex]

which means the solutions to

[tex]\left(\begin{array}{ccc}1&2&1\\1&-2&0\end{array}\right)[/tex][tex]\left(\begin{array}{c}x\\y\\z\end{array}\right)[/tex] = [tex]\left(\begin{array}{c}0\\0\end{array}\right)[/tex]

are x=2y and z=-4y.

2. The augmented matrix

[tex]\left(\begin{array}{cccc}1&-2&0&0\\0&0&1&0\end{array}\right)[/tex]

is not inconsistent even if it is not the correct RREF. z=0 is the solution for the last entry.
An inconsistent matrix is one like

[tex]\left(\begin{array}{cccc}1&-2&0&0\\0&0&0&2\end{array}\right)[/tex]

because the last entry is saying that part of the "solution" is x(0)+y(0)+z(0)=2, which is not possible.

Did you do column operations on your matrix, or just row operations? Column operations do change the nullspace of a matrix, which would lead incorrect results.
 
Last edited:

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