Can a Set of Four Vectors in ℝ³ Span the Space?

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SUMMARY

A set of four vectors in ℝ³ can span the space if they are linearly independent and not all vectors lie in a lower-dimensional subspace. Specifically, while a set with four vectors can potentially span ℝ³, it is not guaranteed that all such sets will do so, particularly if they are linearly dependent or if they do not cover all dimensions. For example, the vectors {(1, 1, 0), (1, 2, 0), (3, 1, 0)} do not span ℝ³ as they lack a non-zero third component, confirming that not all sets of four vectors will span the space.

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Students of linear algebra, educators teaching vector space concepts, and anyone interested in understanding the fundamentals of vector spanning and independence in ℝ³.

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Homework Statement


Consider a set of vectors:

S = {v_{1}, v_{2}, v_{3}, v_{4}\subset ℝ^{3}

a) Can S be a spanning set for ℝ^{3}? Give reasons for your answer.
b) Will all such sets S be spanning sets? Give a reason for your answer.


The Attempt at a Solution



a) Yes, because a linear combination of these vectors can form any given vector in ℝ^{3}.

b) Yes, don't really know a reason besides something similar to the one above, I can't see why not.

I'm not really sure of these answers, can anyone confirm this, or given any insight to understand this better?

Cheers
 
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What about, {(1, 1, 0), (1, 2, 0), (3, 1, 0)}?
 
Well I guess since the 3rd elements are zero, you can't form a vector in ℝ^{3} which has a non-zero 3rd element.

So part b is definitely a no. However part a "can" be since they haven't explicitly defined the vectors, so it's possible given that zero/non-zero condition, is that the only reason?
 
In general, a set with fewer than n vectors cannot span a vector space of dimenson n but a set with n or more vectors may. A set with more than n vectors cannot be independent but a set with n or fewer may. Only with sets with exactly n vectors is it possible to both span and be independent (a basis).
 

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