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

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SUMMARY

To prove that a subset V of a vector space is itself a vector space, three conditions must be satisfied: V must be non-empty, closed under vector addition, and closed under scalar multiplication. The discussion clarifies that being non-empty and containing the zero vector are equivalent when combined with closure under scalar multiplication. The only exception noted is the empty set, which is closed under addition and scalar multiplication but does not contain the zero vector, thus failing to be a subspace.

PREREQUISITES
  • Understanding of vector spaces and subspaces
  • Familiarity with vector addition and scalar multiplication
  • Knowledge of the zero vector in vector spaces
  • Basic principles of mathematical proof techniques
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  • Learn about the implications of closure properties in vector spaces
  • Explore examples of subspaces and their characteristics
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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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