Proof of vector dimensions using inequalities

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Discussion Overview

The discussion revolves around proving the dimensions of a vector space using inequalities, specifically focusing on the relationships between linearly independent vectors and their spans. Participants explore the implications of having two linearly independent vectors and how to establish bounds on the dimension of the vector space.

Discussion Character

  • Exploratory
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants suggest that there can only be two dimensions because there are two linearly independent vectors in the span, but they acknowledge the need for a proof using inequalities.
  • Others point out that it is not given that there are two linearly independent vectors, leading to the conclusion that the dimension is less than or equal to two.
  • There is a discussion about the possibility of vectors being multiples of each other, which could imply a lower dimension, such as one or even zero dimensions.
  • One participant argues that if two vectors are linearly independent, then they must be unique vectors, which would imply that the dimension is at least two.
  • Another participant clarifies that since the vectors are linearly independent and in the span, it follows that the dimension must be at least two, while also noting that the dimension cannot exceed two.
  • Participants express uncertainty about how to utilize inequalities effectively in their proofs.

Areas of Agreement / Disagreement

Participants generally agree that the dimension of the vector space must be at least two if there are two linearly independent vectors present. However, there is no consensus on how to prove this using inequalities, and multiple competing views regarding the implications of vector independence and dimension remain unresolved.

Contextual Notes

Participants acknowledge limitations in their reasoning, particularly regarding assumptions about the independence of vectors and the implications of their relationships. The discussion reflects a dependency on definitions and the need for further clarification on mathematical steps.

TheFallen018
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Hello all!

I've got this problem I'm trying to do, but I'm not sure what the best way to approach it is.

View attachment 8713

It's obvious that there can only be 2 dimensions, because there's only two linearly independent vectors in the span. However, what would be a good way of using the inequalities to prove it? I can't think of a good way to do that.

Any ideas would be great!

Thanks :)
 

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Hey Fallen18!

It is not given that there are 2 linearly independent vectors in the span.
That's why we only get $\le 2$ from the span.
 
Klaas van Aarsen said:
Hey Fallen18!

It is not given that there are 2 linearly independent vectors in the span.
That's why we only get $\le 2$ from the span.

Good point. w1 and w2 could technically be multiples of each other, making W a one dimensional set. However, how would you do a $\ge$ 2 proof? Couldn't w2 be a multiple of w1, and w3 also be a multiple of w1? In that case I would be unsure on how to continue. Thanks
 
TheFallen018 said:
Good point. w1 and w2 could technically be multiples of each other, making W a one dimensional set. However, how would you do a $\ge$ 2 proof? Couldn't w2 be a multiple of w1, and w3 also be a multiple of w1? In that case I would be unsure on how to continue. Thanks

W could even be 0-dimensional, since the $w_i$ could be zero-vectors.
Hpwever, it is also given that the $v_i$ are linearly independent and also in W...
 
Klaas van Aarsen said:
W could even be 0-dimensional, since the $w_i$ could be zero-vectors.
Hpwever, it is also given that the $v_i$ are linearly independent and also in W...

Oh, yes, I should have made that clear in my first post. My reasoning for it having to be two dimensional, is since v1 and v2 are in the set and linearly independent, then they must be part of the span, in that for example w1=v1 and w2=v2, or something like that. However, now that I think about it, it could mean that v1 and v2 are only independent to each other, which makes them far less useful. I'm hoping my first assumption was right though. What do you think?

Edit:
Oh, I think I see the significance of that now. If v1 and v2 are linearly independent, then w1, w2 at least must be unique vectors. If they were the zero vectors, or multiples of each other, v1 and v2 couldn't be linearly independent. Therefore w1 and w2 are linearly independent, and since w3 is a combination of w1 and w2 then this must be a two dimensional set. However, that's still not solving it using inequalities, so I'm not sure that will do the trick.
 
Last edited:
TheFallen018 said:
Oh, yes, I should have made that clear in my first post. My reasoning for it having to be two dimensional, is since v1 and v2 are in the set and linearly independent, then they must be part of the span, in that for example w1=v1 and w2=v2, or something like that. However, now that I think about it, it could mean that v1 and v2 are only independent to each other, which makes them far less useful. I'm hoping my first assumption was right though. What do you think?

Edit:
Oh, I think I see the significance of that now. If v1 and v2 are linearly independent, then w1, w2 at least must be unique vectors. If they were the zero vectors, or multiples of each other, v1 and v2 couldn't be linearly independent. Therefore w1 and w2 are linearly independent, and since w3 is a combination of w1 and w2 then this must be a two dimensional set. However, that's still not solving it using inequalities, so I'm not sure that will do the trick.

Indeed, since $\mathbf v_1$ and $\mathbf v_2$ are linearly independent, $W$ must have at least dimension $2$, which is what we were still looking for.
Effectively you are using that fact to conclude that $\mathbf w_1$ and $\mathbf w_2$ must be linear independent (and not zero) as well.

That is:
  1. $\mathbf v_1$ and $\mathbf v_2$ are linearly independent and in $W$, therefore $\text{dim}\ W \ge 2$.
  2. $\mathbf w_1$, $\mathbf w_2$, $\mathbf w_3$ span $W$ and $\mathbf w_3$ is a linear combination of $\mathbf w_1$ and $\mathbf w_2$, therefore $\text{dim}\ W \le 2$.
  3. Since $\text{dim}\ W \ge2$, $\mathbf w_1$ and $\mathbf w_2$ must be linearly independent.
 

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