What is the relationship between subspaces V and W if V is contained in W?

In summary, the conversation discusses subspaces and dimension. It is explained that if V is contained in W, then the dimension of V is less than or equal to the dimension of W. This is because any basis for W also spans V, meaning a basis for V cannot be larger than a basis for W. It is also mentioned that defining V as a subset of W is the same as saying V is a subspace of W.
  • #1
leilei
8
0
subspaces and dimension!

Consider two subspaces V and W of R^n ,where V is contained in W.
Why is dim(V)<= dim(W)...?
"<=" less than or equal to
 
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  • #2
the only way you get dim(V) = dim(W) is if V=W, if V is strictly contained in W then, then there must be some vector in W that is not in V, let this be w. Now let (v_1,v_2,...v_r) be a basis of V (now I assumed dim(W)=r). Clearly v_1,v_2,...v_r are in W because it containes V, and because w is not in V it must be independent of v_1,v_2,...v_r, so
(v_1,v_2,...v_r,w) is a linearly independent set in W, so dim(W) is at least r+1 (could be more).
 
  • #3
Just because I can't resist "putting my oar in", I'll echo mrandersdk: If V is a subspace of W, then any vector any V is also a vector in W. Any basis for W spans V and so any basis for V cannot be larger than a basis for W. Since the dimension of a space is the size of a basis, ...

By the way, do you see why saying "subspace V is a subset of subspace W" (they are both subspaces of some vector space U) is the same as saying "V is a subspace of W"?
 

FAQ: What is the relationship between subspaces V and W if V is contained in W?

What is a subspace?

A subspace is a subset of a vector space that satisfies the three properties of vector addition, scalar multiplication, and closure under these operations. It can be thought of as a smaller space within a larger space.

What is the dimension of a subspace?

The dimension of a subspace is the number of linearly independent vectors that span the subspace. It represents the number of coordinates needed to uniquely describe a vector in the subspace.

How do you determine if a set of vectors form a basis for a subspace?

To determine if a set of vectors form a basis for a subspace, you can check if they are linearly independent and if they span the subspace. If the set of vectors satisfies both of these conditions, then it is a basis for the subspace.

Can a subspace have more than one basis?

Yes, a subspace can have multiple bases. This is because there can be different sets of linearly independent vectors that span the same subspace, and any of these sets can be considered a basis for the subspace.

How do you find the dimension of a subspace?

The dimension of a subspace can be found by identifying a basis for the subspace and counting the number of linearly independent vectors in the basis. This will give the number of coordinates needed to describe any vector in the subspace.

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