Question about Linear dep/independence

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Homework Help Overview

The discussion revolves around determining the linear dependence or independence of a set of vectors {u, v, w}, specifically given the equation 4u - 2v + 3w = 0. Participants are exploring definitions and conditions related to linear dependence.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of linear dependence and independence, referencing conditions such as the presence of a zero vector and relationships among the vectors. There is also a suggestion to express one vector as a linear combination of others.

Discussion Status

The discussion includes various definitions and characterizations of linear dependence. Some participants are questioning the implications of vector dimensions, while others are attempting to clarify the problem's requirements. One participant indicates they have resolved their confusion.

Contextual Notes

There is mention of the definitions and theorems related to linear dependence, as well as the potential impact of vector dimensions on the problem at hand.

EvaBugs
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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
 
Last edited:
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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 [itex]x_1, x_2, \ldots, x_n[/itex] is linearly dependent if and only if there exists scalars [itex]a_1, a_2, \ldots, a_n[/itex] (that are not all zero) such that [itex]a_1 x_1 + a_2 x_2 + \cdots + a_n x_n = 0[/itex].

Or, equivalently,

A set of vectors [itex]x_1, x_2, \ldots, x_n[/itex] is lienarly independent if [itex]a_1 x_1 + a_2 x_2 + \cdots + a_n x_n = 0[/itex] implies that each of the [itex]a_i[/itex] 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 [tex]{v_1, v_2,...v_k}[/tex] is linearly independent <==> [tex]a_1 v_1 + a_2 v_2 + ... + a_k v_k = 0[/tex] implies all the [tex]a_i = 0[/tex]
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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