Linear Algebra - Dimension, Basis

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Homework Help Overview

The discussion revolves around the concepts of dimension and basis in linear algebra, specifically focusing on the relationship between two sets of vectors, W and V, where V is linearly independent and W consists of linear combinations of vectors from V.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of having more vectors in W than in V, questioning whether W can be linearly independent given that its elements are derived from V. They discuss the definitions of linear independence and the concept of spanning sets.

Discussion Status

Several participants have provided insights suggesting that W cannot be linearly independent due to the number of vectors exceeding that of V. There is a productive exchange of ideas regarding the definitions and implications of linear dependence and independence.

Contextual Notes

Participants are navigating through potentially unclear lecture notes and are seeking clarification on the definitions and relationships between the sets of vectors. The discussion reflects uncertainty about the concepts presented in class.

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Linear Algebra -- Dimension, Basis

Had a horrible lecture this morning and the following was presented at a lightning quick pace. I'm not sure whether I messed up my notes in my haste to get them all down or if I'm completely not understanding something.

I have two sets of vectors: W = {w1,w2,w3,...,wm} and V = {v1,v2,...,vn} V is linearly independent.
If the elements of W are linear combinations of the elements in V and there are more elements in W than V, m>n, W is linearly dependent or independent?

I wrote down W is linearly independent, but I'm thinking this is wrong.

Clarification would be VERY GREATLY APPRECIATED.

Thanks.
 
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Linearly independent means that the vectors do not depend on each other.

Let's say that the first n vectors in W are constant multiples of the first n vectors in V, i.e.

[tex]w_n = a_n v_n[/tex]

Soyou'll agree that W will be linearly independent if it comprised only the n vectors, as V is. In fact, you'll probably agree that W is almost identical to V except in scaling.

Except now we have extra vectors in W, which are linear combinations of the vectors in V. We've run out of independent vectors in V, so we have to start adding two or more V vectors together to get a vector in W, i.e.

[tex]w_m = b^nv_n[/tex]
for m>n

So the question is, are the extra vectors in W independent of the first n vectors in W? Clearly, they cannot be, since all of the linearly independent vectors have already been used!

Therefore, W is not linearly independent.

cookiemonster
 
Since V is linearly independent, its "span" (the set of a linear combinations of vectors in V) is a subspace- a vector space in its own right- which has dimension n. A set of vectors, such as W, in that space with more than n members CANNOT be independent. W is dependent.
 
Thanks very much for the help. I can now try to make sense of the rest of my notes and hopefully sleep soundly tonight.
 

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