Linear Combinations and Span (Concept Question)

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Homework Help Overview

The discussion revolves around the concept of linear combinations and the span of columns in a matrix, specifically addressing a statement regarding whether a vector in \(\mathbb{R}^m\) being a linear combination of the columns of a matrix implies that those columns span \(\mathbb{R}^m\).

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the logical equivalence of statements regarding linear combinations and span, questioning the validity of a specific example provided by the original poster.

Discussion Status

Participants are actively engaging with the original statement, with some suggesting that the example given does not meet the necessary conditions. There is an exploration of the implications of using different matrices and vectors to clarify the concepts involved.

Contextual Notes

There is a recognition that the original poster's example may not satisfy the conditions of the problem, particularly regarding the dimensions of the matrix and the vector in question. The discussion includes considerations about the limitations of the example and the need for a valid counterexample.

_N3WTON_
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Homework Statement


Let A be an m \hspace{1 mm} x \hspace{1 mm} n matrix, and let \vec{b} be a vector in \mathbb{R}^{m}. Suppose that \vec{b} is a linear combination of the columns of A. Then the columns of A span \mathbb{R}^{m}

Homework Equations

The Attempt at a Solution


I said that this statement was true using the following theorem from my textbook:
Let A be an m \hspace{1 mm}x \hspace{1 mm}n matrix. Then the following statements are logically equivalent.
a) For each \vec{b} in \mathbb{R}^{m}, the equation A \vec{x} = \vec{b} has a solution
b) Each \vec{b} in \mathbb{R}^{m} is a linear combination of the columns of A
c) The columns of A span \mathbb{R}^{m}
d) A has a pivot position in every row
However, my book says that this statement is false and I am not sure why. I think I am probably missing something obvious, but I'm not sure what.
 
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_N3WTON_ said:
b) Each \vec{b} in \mathbb{R}^{m} is a linear combination of the columns of A
_N3WTON_ said:
let \vec{b} be a vector in \mathbb{R}^{m}. Suppose that \vec{b} is a linear combination of the columns of A.
In the statement, \vec{b} is a particular vector, and not any arbitrary vector in \mathbb{R}^{m}; that is to say, it is not necessarily true that any vector in \mathbb{R}^{m} can be expressed as a linear combination of the columns of A.
 
Fightfish said:
In the statement, \vec{b} is a particular vector, and not any arbitrary vector in \mathbb{R}^{m}; that is to say, it is not necessarily true that any vector in \mathbb{R}^{m} can be expressed as a linear combination of the columns of A.
ok, so I was wondering if this counter example would be a good way to verify that it is false? I picked an arbitrary matrix and an arbitrary vector:
$$
A =
\begin{bmatrix}
0 & 3\\
1& 5\\
2 &8
\end{bmatrix}
$$
$$ \vec{b} =
\begin{bmatrix}
1\\
2
\\5

\end{bmatrix} $$
I reduced A and found that there is not a pivot in every row, so I said that the columns of A do not span \mathbb{R}^{m}. Is this a sufficient counter example?
 
_N3WTON_ said:
ok, so I was wondering if this counter example would be a good way to verify that it is false? I picked an arbitrary matrix and an arbitrary vector:
$$
A =
\begin{bmatrix}
0 & 3\\
1& 5\\
2 &8
\end{bmatrix}
$$
$$ \vec{b} =
\begin{bmatrix}
1\\
2
\\5

\end{bmatrix} $$
I reduced A and found that there is not a pivot in every row, so I said that the columns of A do not span \mathbb{R}^{m}. Is this a sufficient counter example?
I'm not sure it meets the conditions of the original problem, which states that ##\vec{b}## is a linear combination of the columns of A. In any case, the condition for ##\vec{b}## seems to me to be something of a red herring. Your 3 x 2 matrix clearly (I hope) can't span R3, since there are only two columns.
 
Mark44 said:
I'm not sure it meets the conditions of the original problem, which states that ##\vec{b}## is a linear combination of the columns of A. In any case, the condition for ##\vec{b}## seems to me to be something of a red herring. Your 3 x 2 matrix clearly (I hope) can't span R3, since there are only two columns.
You're right that my example doesn't meet the given conditions. However, if I were to find an example that does meet the required conditions using a 3x2 matrix, could I then use that counter example to prove that the statement is false? Basically I'm still a little confused about where to go here...
 
_N3WTON_ said:
You're right that my example doesn't meet the given conditions. However, if I were to find an example that does meet the required conditions using a 3x2 matrix, could I then use that counter example to prove that the statement is false?
Yes, I believe so.
 
Mark44 said:
Yes, I believe so.
Awesome. I was thinking in this case it may be easier to use a matrix made up of stars and squares(like the kind used to determine echelon forms) rather than actually come up with a linear combination.
 
_N3WTON_ said:
Awesome. I was thinking in this case it may be easier to use a matrix made up of stars and squares(like the kind used to determine echelon forms) rather than actually come up with a linear combination.
No, I would use a specific matrix.
 
Mark44 said:
No, I would use a specific matrix.
Ok, thanks for the advice
 

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