Linearly Independent Sets After Subtraction

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Homework Help Overview

The discussion revolves around a linear algebra problem concerning the linear independence of a modified set of vectors. The original poster is tasked with demonstrating that the set \{ v_i - w \} remains linearly independent given that \{ v_i \} is a set of linearly independent vectors and w is a non-zero vector expressed as a linear combination of the v_i.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the implications of substituting w into the linear combination and question the conditions under which the modified set remains independent. There are discussions about specific cases, such as when w is a linear combination of the v_i, and whether certain assumptions about w affect the independence of the new set.

Discussion Status

Some participants have provided insights into the implications of the linear independence of the original set and have raised questions about specific cases and assumptions. There is an ongoing exploration of whether the modified set can still be considered independent under various conditions, with no explicit consensus reached yet.

Contextual Notes

Participants note that it may be necessary for w to not equal any of the v_i, and there are discussions about the dimensionality of spans in relation to the original problem. The complexity of the problem is acknowledged, particularly when considering specific examples and frameworks.

Kreizhn
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Homework Statement


Here is a really simple lin.alg problem that for some reason I'm having trouble doing.

Assume that \left\{ v_i \right\} is a set of linearly independent vectors. Take w to be a non-zero vector that can be written as a linear combination of the v_i. Show that \left\{ v_i - w \right\} is still linearly independent.

The Attempt at a Solution


For some reason I'm quite stuck on this. My first goal was to let b_i be such that we can write
w = \sum_j b_j v_j
and then consider the sum
\sum_i a_i (v_i-w) = 0 [/itex]<br /> and show that each a_i must necessarily be zero. Substituting the first equation into the other yields<br /> \begin{align*}\sum_i a_i (v_i - \sum_j b_j v_j ) &amp;amp;= \sum_i a_i - \sum_{i,j} a_i b_j v_j \\&lt;br /&gt; &amp;amp;= \sum_i \left( a_i - \sum_j a_j b_i \right) v_i &lt;br /&gt; \end{align*}<br /> where in the last step I&#039;ve switched the indices in the double summation. By linear independence of the v_i it follows that <br /> a_i = \sum_j a_j b_i<br /> but that&#039;s where I&#039;m stuck.<br /> <br /> It&#039;s possible that I&#039;m doing this the wrong way also. Any help would be appreciated.
 
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Note that it may be necessary to add that w \neq v_i for any i.
 
You are given that the set {v1, v2, ..., vn} is linearly independent, which means that the equation
c1v1 + c2v2 + ... + cnvn = 0 has only the trivial solution.

Now look at the equation a1(v1 - b) + a2(v2 - b) + ... + an(vn - b) = 0, where b != 0, and b != vi, and show that this equation has only the trivial solution.
 
Hey Mark,

Thanks for the reply. This is exactly what I did in "My attempt at the solution," though I got stuck. Do you have any advice on whether I should take a different approach, or how to resolve where I got stuck?
 
Kreizhn said:
Hey Mark,

Thanks for the reply. This is exactly what I did in "My attempt at the solution," though I got stuck. Do you have any advice on whether I should take a different approach, or how to resolve where I got stuck?

Take the case of two vectors {v1,v2}. Let w=(v1+v2)/2.
 
Okay, so in this case we get
\begin{align*}<br /> a_1(v_1 -\frac12 v_1 -\frac12 v_2) + a_2(v_2 - \frac12 v_1 -\frac12 v_2 ) &amp;= \frac{a_1}2 (v_1 -v_2) + \frac{a_2}2 (v_2 - v_1) \\<br /> &amp;= \frac12(a_1-a_2) v_1 + \frac12(a_2-a_1) v_2<br /> \end{align*}<br />

By linear independence of v_1,v_2 we get that a_1 = a_2. Why does this imply that either is zero?
 
Kreizhn said:
Okay, so in this case we get
\begin{align*}<br /> a_1(v_1 -\frac12 v_1 -\frac12 v_2) + a_2(v_2 - \frac12 v_1 -\frac12 v_2 ) &amp;= \frac{a_1}2 (v_1 -v_2) + \frac{a_2}2 (v_2 - v_1) \\<br /> &amp;= \frac12(a_1-a_2) v_1 + \frac12(a_2-a_1) v_2<br /> \end{align*}<br />

By linear independence of v_1,v_2 we get that a_1 = a_2. Why does this imply that either is zero?

You are staring too hard at the ai's. v1-w=(v1-v2)/2, v2-w=(v2-v1)/2. (v1-w)=(-1)*(v2-w). They aren't linearly independent. I'm saying your proposed theorem is false. That's why you are having a hard time proving it.
 
Okay, so then that hypothesis goes out the window.

Tell me, does it then make sense to instead say that if \left\{ v_i \right\}_{i=1}^d span a d dimensional space, then for w a linear combo of the v_i it follows that \left\{ v_i - w \right\} span a d-1 dimensional space?
 
Kreizhn said:
Okay, so then that hypothesis goes out the window.

Tell me, does it then make sense to instead say that if \left\{ v_i \right\}_{i=1}^d span a d dimensional space, then for w a linear combo of the v_i it follows that \left\{ v_i - w \right\} span a d-1 dimensional space?

No. The {vi-w} are 'usually' independent, if you pick some random w. But for a family of special values of w it will fail.
 
  • #10
See, here's the issue. I've tried to make it simple so that it doesn't complicate things, but maybe putting it in a proper framework will make it better.

Consider a finite dimensional complex Hilbert space \mathcal H of dimension d, and fix an orthonormal basis \left\{ e_i \right\}. Let P_i:\mathcal H \to \mathcal H represent projection operators taking each element of \mathcal H to the one dimensional space spanned by e_i. In particular then, the set of P_i span a d-dimensional subspace of \mathcal B(\mathcal H), the set of bounded linear operators on \mathcal H. Furthermore since the P_i decompose \mathcal H into a direct sum of the orthgonal subspaces, it follows that
\sum_{i=1}^d P_i = \text{id}
where id is the identity operator in \mathcal B(\mathcal H). I now have a paper in front of me saying that the set \left\{ P_i - \text{id} \right\} spans a d-1 dimensional subspace of \mathcal B(\mathcal H) and I am not certain why this is true.
 
  • #11
Clearly, I was wrong to cast this into a simplified framework. So I'm wondering, do you see why these new projectors span 1-less dimensional space?
 
  • #12
Kreizhn said:
Clearly, I was wrong to cast this into a simplified framework. So I'm wondering, do you see why these new projectors span 1-less dimensional space?

No I don't. Take the case d=2. Then the set is {P1-id,P2-id}={-P2,-P1}. Looks to me like the span is the same as the span of {P1,P2}. If it were {Pi-id/d} then I can see where the dimension of the span would drop. That's the example I just gave you.
 
  • #13
Thanks Dick, you've been quite helpful.

I checked this too, and in the case when \mathcal H = \mathbb C^d and the orthogonal basis is taken to be the standard basis, this always seems to be the case.

I think then that maybe the author is stating that d-1 is all that is necessary to do their work, even though the span is a d dimensional space. So alternatively, with this specific set-up can we say that the \left\{ P_i - \text{id} \right\} are linearly independent and hence span a d-dimensional space?

This is where the original problem came from and combined with checking the simple cases I assumed this is why it had to be true. Any thoughts on this one?
 
  • #14
Kreizhn said:
Thanks Dick, you've been quite helpful.

I checked this too, and in the case when \mathcal H = \mathbb C^d and the orthogonal basis is taken to be the standard basis, this always seems to be the case.

I think then that maybe the author is stating that d-1 is all that is necessary to do their work, even though the span is a d dimensional space. So alternatively, with this specific set-up can we say that the \left\{ P_i - \text{id} \right\} are linearly independent and hence span a d-dimensional space?

This is where the original problem came from and combined with checking the simple cases I assumed this is why it had to be true. Any thoughts on this one?

Sure, sum {Pi-id} for i=1 to d, you get id-d*(id)=(1-d)*id, right? So id is in the span (except for the silly case d=1). Pi-id is in the span. So (Pi-id)+id=Pi is in. So all of the Pi are also in the span. Hence span has dimension d. Perhaps they are just trying to make a statement that includes d=1??
 
  • #15
Very nice, thank you.
 

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