Question about Linear Dependency

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Discussion Overview

The discussion revolves around the linear dependency of transformed vectors derived from a set of linearly dependent vectors in a vector space over the real numbers. Participants explore various statements regarding the linear independence or dependence of the new vectors based on a scalar parameter.

Discussion Character

  • Debate/contested

Main Points Raised

  • Some participants propose that the vectors u1, v1, and w1 could be linearly dependent for every value of the scalar a.
  • Others argue that there may exist specific values of a for which the vectors u1, v1, and w1 are linearly independent.
  • A participant expresses that the coefficients derived from the linear combination of u1, v1, and w1 must reflect the dependency of the original vectors u, v, and w.
  • Another participant suggests that focusing too much on the coefficients may be misguided, emphasizing that the new vectors are contained within the span of the original vectors, which are linearly dependent.
  • It is noted that if u1, v1, and w1 were to be linearly independent, it would imply a contradiction regarding the dimensionality of the space.

Areas of Agreement / Disagreement

Participants do not reach a consensus; multiple competing views regarding the linear independence or dependence of the vectors u1, v1, and w1 remain unresolved.

Contextual Notes

The discussion includes assumptions about the nature of linear combinations and the implications of linear dependence, but these assumptions are not fully explored or resolved.

Yankel
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which one of the next statements is the correct one ?

Let v,u,w be linearly dependent vectors in a vector space over R.

u1 = 2u
v1 = -3u+4v
w1 = u+2v-aw (a scalar from R)

(1) the vectors u1, v1 and w1 are linearly dependent for every value of a
(2) the vectors u1, v1 and w1 are linearly independent for every value of a
(3) the vectors u1, v1 and w1 are linearly independent for every value of a apart from 0
(4) the vectors u1, v1 and w1 are linearly independent for every positive value of a
(5) there exists a value of a for which the vectors u1, v1 and w1 are linearly independent

Thanks a lot !
 
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Yankel said:
which one of the next statements is the correct one ?

Let v,u,w be linearly dependent vectors in a vector space over R.

u1 = 2u
v1 = -3u+4v
w1 = u+2v-aw (a scalar from R)

(1) the vectors u1, v1 and w1 are linearly dependent for every value of a
(2) the vectors u1, v1 and w1 are linearly independent for every value of a
(3) the vectors u1, v1 and w1 are linearly independent for every value of a apart from 0
(4) the vectors u1, v1 and w1 are linearly independent for every positive value of a
(5) there exists a value of a for which the vectors u1, v1 and w1 are linearly independent

Thanks a lot !

This is somewhat similar to the last one. Again, we know that $u,v,w$ are dependent, implying that there are constants $c_1,c_2,c_3$ not all zero such that $c_1u+c_2v+c_3w=0$. Now, we want to analyze when the following is true:

\[d_1u_1+d_2v_1+d_3w_1=0\]

where $d_1,d_2,d_3\in\mathbb{R}$ are arbitrary constants. The idea now is to express the above equation in terms of a linear combination of just $u,v,w$, then use the fact that $u,v,w$ are linearly dependent to come up with the appropriate conclusion.

I hope this helps!
 
right, so if I am not mistaken I get:

(2d1-3d2+d3)u + (-4d2+2d3)v + (-ad3)w = 0

what does it tells me ? I know that at least one of the coefficients is not zero, because u,v and w are dependent...what can I say about u1,v1,w1 and what about a ?
 
i think focusing on the coefficients overmuch is a mistake.

it is clear that:

$\{u_1,v_1,w_1\} \subset \text{Span}(\{u,v,w\})$.

since {u,v,w} is linearly dependent, this has dimension ≤ 2.

therefore $u_1,v_1,w_1$ cannot be linearly independent, else we have a subspace of greater dimension than a space which contains it.

("a" is a red herring).
 

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