What Is Required to Prove a Subset is a Vector Space?

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Discussion Overview

The discussion revolves around the requirements for proving that a subset \( V \) of a vector space is itself a vector space. Participants explore the necessary conditions, including non-emptiness, closure under addition, and closure under scalar multiplication, while addressing the relationship between these conditions.

Discussion Character

  • Theoretical exploration
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants propose that to show \( V \) is a vector space, it must be non-empty, closed under addition, and closed under scalar multiplication.
  • Others argue that being non-empty and containing the zero vector are not equivalent on their own, but under certain conditions, they can imply each other.
  • A participant suggests that if \( V \) is non-empty and closed under scalar multiplication, it must contain the zero vector.
  • Another participant points out that the only case where a set is closed under addition and scalar multiplication but does not contain the zero vector is the empty set.

Areas of Agreement / Disagreement

Participants generally agree on the conditions required for \( V \) to be a vector space, but there is some debate regarding the equivalence of being non-empty and containing the zero vector, particularly in the context of closure under scalar multiplication.

Contextual Notes

Some assumptions about the definitions of vector spaces and the nature of subsets are implicit in the discussion. The relationship between the conditions is explored without resolving all nuances.

Yankel
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Hello all,

I have a theoretical question regarding subspaces.

If V is a subset of a vector space, and we wish to show that V is a vector space itself, we need to show 3 things.

Some references say we need to show: a) V is not empty b) V is closed under + c) V is closed under scalar multiplication. Other references are similar, with (a) being that V contains the 0 vector in it.

What I don't understand is:

1) Why being non empty and having the 0 vector is the same thing ?
2) I can't think of any example in which a set is closed under + and scalar multiplication, but does not contain the 0 vector. If this case exist, it ain't a subspace, but if the set isn't empty, it is ??

I am confused...
 
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Yankel said:
Hello all,

I have a theoretical question regarding subspaces.

If V is a subset of a vector space, and we wish to show that V is a vector space itself, we need to show 3 things.

Some references say we need to show: a) V is not empty b) V is closed under + c) V is closed under scalar multiplication. Other references are similar, with (a) being that V contains the 0 vector in it.

What I don't understand is:

1) Why being non empty and having the 0 vector is the same thing ?
2) I can't think of any example in which a set is closed under + and scalar multiplication, but does not contain the 0 vector. If this case exist, it ain't a subspace, but if the set isn't empty, it is ??

I am confused...

ad 1) I understand that you assume b) and c) and then want to show that the two formulations of condition a) are equivalent.

If $V$ is non-empty, then it contains a vector $x$. Now $V$ is closed under scalar multiplication, so $0\cdot x = \mathbf{0} \in V$, where $0$ is a scalar and $\mathbf{0}$ is the zero vector.

Conversely, if $V$ contains $\mathbf{0}$ then it is of course non-empty.

ad 2) You are right, the only such example would be the empty set: It is trivially closed under vector addition and scalar multiplication, but it does not contain the zero vector.
 
"Being non-empty" and "containing the 0 vector" are not the same thing, alone! However, with the other condirion, that the set is closed under scalar multiplication, they are.

Clearly, if a set "contains the 0 vector" then it "is non-empty" so that way is trivial. If a set "is non-empty" then it contains some, possibly non-zero, vector v. If the set is also "closed under scalar multiplication", then the set also contains 0(v)= 0, the 0 vector.
 
Thank you both.

Great explanations, all clear now ! :D
 

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