Number of vectors needed to Span R^n

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Discussion Overview

The discussion revolves around the concept of spanning sets in linear algebra, specifically addressing the number of vectors required to span R^n and the implications of subspaces. Participants explore the relationship between spanning sets, linear independence, and subspaces, with a focus on examples from a linear algebra textbook.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion regarding the requirement that a set must contain at least n vectors to span R^n, citing an example from their textbook where 2 vectors span a subspace of R^3.
  • Another participant challenges the claim that the sets S1 and S2 span R^3, providing a counterexample of a vector not included in their span.
  • A participant clarifies that the vectors in question actually span a subspace W of R^3, rather than R^3 itself, and questions the reasoning behind the claim that S1 spans W.
  • Further discussion reveals that W can be expressed as a linear combination of the vectors in S1, leading to a realization that 2 vectors can indeed span a subspace of R^3.
  • Some participants note that a subspace does not need to span the entire space, providing examples of subspaces with lower dimensions.
  • Clarifications are made regarding the definition of a subspace, emphasizing that it is a vector space that is also a subset of a larger vector space.

Areas of Agreement / Disagreement

Participants generally agree that the sets discussed do not span R^3, but rather a subspace W of R^3. However, there is ongoing confusion about the implications of spanning in relation to the number of vectors required, indicating that multiple views remain on this topic.

Contextual Notes

Participants reference specific examples from a textbook, which may not fully clarify the definitions and concepts involved. The discussion highlights the need for careful consideration of the definitions of spanning sets and subspaces.

Who May Find This Useful

Students and individuals studying linear algebra, particularly those grappling with concepts of spanning sets, linear independence, and subspaces.

samona
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I am reading my linear algebra book, and in the chapter on Spanning, I got the impression that for a set to span R^n, it must contain at least n vectors. I confirmed that by searching through the forums.

However, I've reached the chapter on Linear Independence and in one of the examples it shows that a set containing 2 vectors can span R^3. So now I'm totally confused. Any help will be appreciated.

Example in the book:

S1= {[1,0,1], [0,1,1]}, S2 = {[1,0,1], [0,1,1], [3,2,5]}. Book says S1 and S2 span R^3, and prefers S1 since its "more efficient".
 
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S1 and S2 have the same span, but it is not R3. For example [1,1,0] is not in their span.
 
Thanks for the help. I just read this page like 100 times, and after reading your answer I read it again and missed an important detail.

The book is describing a subset of R^3 where W = [a, b, a+b] is a subspace of R^3. I still don't understand why they claim that S1 spans W though.
 
It does
W=span(S1)=Span(S2)
what is
a*[1,0,1]+b*[0,1,1]?
 
that equals [a, b, a+b] which is in W. I see that it works, but what's confusing me is the R^3. Even though W is a subspace of R^3 shouldn't W need 3 vectors in order to be spanned? How come 2 vectors are able to span it when its in R^3?

I wish they left out the R^3 and just put down R^2, then it would make sense to me. Maybe I'll edit that page in my book lol :smile:

Thanks for your patience. I'm sure this is something that should be simple to understand.
 
Our vectors are in R3. A subspace need not span the space

{[1,2,3,4,5,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0],[1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}
is a subspace of R20, but only has dimension 2 like W
 
samona said:
that equals [a, b, a+b] which is in W. I see that it works, but what's confusing me is the R^3. Even though W is a subspace of R^3 shouldn't W need 3 vectors in order to be spanned? How come 2 vectors are able to span it when its in R^3?

I wish they left out the R^3 and just put down R^2, then it would make sense to me. Maybe I'll edit that page in my book lol :smile:

Thanks for your patience. I'm sure this is something that should be simple to understand.
Looks like you need to look at the definition of "subspace" again. A subspace is just a subset that's also a vector space. Your W is a subspace of ##\mathbb R^3## because a) it's a vector space, and b) it's a subset of ##\mathbb R^3##.

The set ##\{(x,y,z)\in\mathbb R^3|y=z=0\}## ("the x axis") is a subspace of ##\mathbb R^3## that's spanned by a set containing only one vector: ##\{(1,0,0)\}##.
 
lurflurf said:
Our vectors are in R3. A subspace need not span the space

{[1,2,3,4,5,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0],[1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}
is a subspace of R20, but only has dimension 2 like W
Got it! I see what you mean. That example actually clicked...finally. Thanks so much!
 
Fredrik said:
Looks like you need to look at the definition of "subspace" again. A subspace is just a subset that's also a vector space. Your W is a subspace of ##\mathbb R^3## because a) it's a vector space, and b) it's a subset of ##\mathbb R^3##.

The set ##\{(x,y,z)\in\mathbb R^3|y=z=0\}## ("the x axis") is a subspace of ##\mathbb R^3## that's spanned by a set containing only one vector: ##\{(1,0,0)\}##.
Did look over it again. Your example really helped clear things up some more. Thank you so much!
 

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