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

In summary, a set of vectors can be a spanning set for ℝ^{3} if it has a linear combination that can form any given vector in ℝ^{3}. However, not all sets with three or more vectors will necessarily be spanning sets. In order for a set to be a spanning set, it must have a linear combination that can form any vector in the vector space with the given number of dimensions. Additionally, sets with more than n vectors cannot be independent, but sets with n or fewer may be. Only sets with exactly n vectors can both span and be independent, making them a basis for the vector space.
  • #1
NewtonianAlch
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Homework Statement


Consider a set of vectors:

S = {v[itex]_{1}[/itex], v[itex]_{2}[/itex], v[itex]_{3}[/itex], v[itex]_{4}[/itex][itex]\subset[/itex] ℝ[itex]^{3}[/itex]

a) Can S be a spanning set for ℝ[itex]^{3}[/itex]? 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[itex]^{3}[/itex].

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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  • #2
What about, {(1, 1, 0), (1, 2, 0), (3, 1, 0)}?
 
  • #3
Well I guess since the 3rd elements are zero, you can't form a vector in ℝ[itex]^{3}[/itex] 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?
 
  • #4
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).
 

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

What is the definition of a spanning set?

A spanning set is a set of vectors that, through linear combinations, can generate any vector in a given vector space.

How do you determine if a set of vectors is a spanning set?

To determine if a set of vectors is a spanning set, you can use the span method. This involves taking the linear combination of all the vectors in the set and seeing if it can produce any vector in the given vector space.

Can a spanning set have more vectors than the dimension of the vector space?

Yes, a spanning set can have more vectors than the dimension of the vector space. This means that there are redundant vectors in the set, but it still spans the vector space.

What is the purpose of a spanning set?

The purpose of a spanning set is to determine the range of a linear transformation. It allows us to understand what vectors can be reached by applying the linear transformation to any given vector in the vector space.

Can a set of linearly dependent vectors be a spanning set?

No, a set of linearly dependent vectors cannot be a spanning set. This is because linearly dependent vectors can be reduced to a smaller set of vectors that still span the vector space. A spanning set must consist of linearly independent vectors.

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