Question about Linear dep/independence

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To determine if the set of vectors {u, v, w} is linearly dependent or independent, one can use the equation 4u - 2v + 3w = 0. This indicates that at least one vector can be expressed as a linear combination of the others, suggesting linear dependence. The definitions provided clarify that a set is dependent if there exist non-zero scalars that satisfy the linear combination equating to zero. The discussion emphasizes the importance of understanding these definitions and applying them to the problem at hand. Ultimately, the conclusion reached is that the vectors in question are linearly dependent.
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linear independece

Hello. I have a problem here that i don't know how to start:

Determine whether this set of vectors is Linearly dependent or independent.
{u, v, w} where 4u-2v+3w = 0


Any tips on how to begin proving whehter it's indep or dependent
 
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Do you recall the definition of linear dependence?
 
I know that a set is lin dependent if:
-a set contains a zero vector
-Let V1,V2,V3...Vr be vectors in Rn. If r > n, then set is dependent
-one of the vectors is a lin combo of remaining vectors in a set
 
The actual definition, as I recall, is this:

A set of vectors x_1, x_2, \ldots, x_n is linearly dependent if and only if there exists scalars a_1, a_2, \ldots, a_n (that are not all zero) such that a_1 x_1 + a_2 x_2 + \cdots + a_n x_n = 0.

Or, equivalently,

A set of vectors x_1, x_2, \ldots, x_n is lienarly independent if a_1 x_1 + a_2 x_2 + \cdots + a_n x_n = 0 implies that each of the a_i are zero.

(Not only is it the definition I recall, but one of the more useful characterizations of linear dependence!)


So the problem is fairly trivial. :smile: But it's still straightforward using the conditions you listed... for example, can you find a way to write u as a linear combination of v and w?
 
Those are theorems derived from the definition... the definition will give you the answer directly.

edit: too late :D
 
a set of vectors {v_1, v_2,...v_k} is linearly independent <==> a_1 v_1 + a_2 v_2 + ... + a_k v_k = 0 implies all the a_i = 0
that's the most basic definition of linear independence i learned. i don't really know what the problem is though. wouldn't the dimension of u, v, w matter?
 
I figured it out. Thank so much
 
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