Basis of a subspace of a vectorspace

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Discussion Overview

The discussion revolves around the concept of bases in vector spaces, specifically addressing whether a basis for a subspace W of a vector space V can be derived from the basis of V. Participants explore the implications of basis extension and the relationship between bases of subspaces and their parent vector spaces.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that a basis for the vector space V can span the subspace W, but the clarity of the original question is questioned.
  • Others argue that while W is in the span of the basis of V, it does not imply that the basis of V serves as a spanning set for W.
  • A participant clarifies their intent regarding basis extension, suggesting that if W is a subspace of V, then there exists a basis for V that extends the basis of W.
  • Another participant confirms that any linearly independent set in V can be extended to form a basis for V.
  • Discussion includes the application of Zorn's lemma for infinite dimensional vector spaces to prove that independent vectors in W can be contained in a basis for V.
  • Examples are provided to illustrate the concept, including a specific case of deriving a basis for a one-dimensional subspace from a basis of R².

Areas of Agreement / Disagreement

Participants express differing views on the relationship between the bases of V and W, with some asserting that a basis for W can be extended to a basis for V, while others challenge the clarity and implications of the original question. The discussion remains unresolved regarding the precise nature of these relationships.

Contextual Notes

Some participants note the ambiguity in the original question and the need for clearer definitions regarding the terms used, such as "the basis of a vector space." There is also mention of the limitations of the discussion in terms of dimensionality and the application of certain mathematical principles.

JamesTheBond
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Is the basis for the subspace W of a vectorspace V spanned by the basis of the vectorspace V? If so how?
 
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JamesTheBond said:
Is the basis for the subspace W of a vectorspace V spanned by the basis of the vectorspace V? If so how?

What exactly do you mean? A basis for V is a span for W.
 
Arguably it is not, since elements in a basis of V are not in general going to be elements of W. W would certainly be in the span of a basis of V, but that is I would suggest subtley different from them being a spanning set for W.

Anyway, the original question is not very clear. There is no such thing as *the* basis of a vector space. And I don't know what it means for one basis to span a basis of subset.

If you mean: given W<V, and a basis set B for V, does B have a subset that is a basis for W, then the answer is no.
 
I am sorry, I misworded my question. At any rate, what I wanted to know was a confirmation of basis extension. For W < V, B_W (some basis of W) is linearly independent and spans W, therefore, there exists some B_V (basis of V) s.t. B_W < B_V.

I believe this is the basis extension theorem... not sure.
 
JamesTheBond said:
For W < V, B_W (some basis of W) is linearly independent and spans W, therefore, there exists some B_V (basis of V) s.t. B_W < B_V.

I believe this is the basis extension theorem... not sure.

I'm not sure what B_W < B_V is supposed to mean, but if you meant that every linearly independent set in a vector space V (and hence a basis of a subspace W, too, since it's a linearly independent set) can be 'extended to the basis' of V, then the answer is yes.
 
Sorry, I meant to say: for some [tex]B_W \subset B_V[/tex] for some basis of V.
 
And the answer, as radou said, is "yes".

Let {vi} be a basis for W. If it is also a basis for V we are done. If not, since it is clearly independent, it must not span V- there exist some v which is not a linear combination of {vi[/sup]}. Append v to that set of vectors and show that it is still a set of independent vectors. If it spans V, we are done. If not, repeat.

That works for a finite dimensional vector space. If you are working with an infinite dimensional vector space, you will have to use "transfinite" induction- use Zorn's lemma to prove that any collection of independent vectors in V (i.e. a basis for W) is contained in a basis for V.
 
here is an example to think about. (1,0)n and (0,1) give a basis of R^2. now consider the subspace where y=x, i.e. the line at 45degrees through the origin. how woulkd you get a basis of that subspace from the given basis of R^2?
 
mathwonk said:
here is an example to think about. (1,0)n and (0,1) give a basis of R^2. now consider the subspace where y=x, i.e. the line at 45degrees through the origin. how woulkd you get a basis of that subspace from the given basis of R^2?

Interesting but simple question. Since that is a one dimensional subspace and (1,0)+ (0,1)= (1,1) is in the space, {(1,0)+ (0,1)} is a basis for the subspace.

However, in case this confuses any one, the original question asked here was "if you had a basis for that subspace, how would you get a basis for R2 that contained the original basis?" Any basis for the subspace must be of the form {(a,a)} where a is a non-zero number. It is easy to show that (a, -a) is orthogonal to that and so not a multiple. The set {(a, a), (a, -a)} is a basis for R2 containing the original basis for the subspace. Actually, any vector in R2 that is NOT a multiple of (a,a) would work as a second vector in the basis.
 
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