Is W a Subspace of All Ordered Pairs?

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In summary, W is a set of all ordered pairs of real numbers, not a vector space. However, it is suggested that it is a subspace closed by scalar multiplication. To check if it is closed under scalar multiplication, we need to verify that (0, ku2) is an ordered pair of real numbers. Since W has no restrictions, it is only necessary to check this condition. Additionally, it is recommended to verify if W satisfies the eight vector space axioms to determine if it is a vector space.
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Homework Statement

Let W be the set of all ordereed pairs of real numbers, and consider the following addition and scalar multiplication operations on U=(u1,u2) and V=(v1,v2)

U+V is standard addition but kU=(0, ku2)

Homework Equations

Is W closed under scalar multiplication?

The Attempt at a Solution

I understand that W is not a vector space but my book suggests that it is a subspace closed by scalar multiplication.

Is it because kU=(k0, ku2) where k multiplies both terms?
 
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  • #2
Being closed under scalar multiplication just means that if [itex]w \in W[/itex] and [itex]k \in \mathbb{R}[/itex] then [itex]k w \in W[/itex].
Since W doesn't really have any restrictions, you only need to check that (0, ku2) is an ordered pair of real numbers.
 
  • #3
Is [tex] kU \, = \, (0, ku_{2})[/tex] an ordered pair of reals ? Also, does W contain the zero vector ?
 
  • #4
It's pretty strange to talk about subspaces here, since W isn't defined as a subset of a vector space. It's just defined as a set with two operations which may or may not turn it into a vector space.

If it turns out to be closed under both addition and (this non-standard) scalar multiplication, then you can check if it satisfies the eight vector space axioms, to see if it's a vector space.
 
  • #5
Thanks for the help! That solves it for me completely! I thoroughly didn't understand the definitions of subspace and what they mean and represent, so this simple explanation really clears up a big misconception that I had.
 

1. What is a subspace in linear algebra?

A subspace in linear algebra is a subset of a vector space that satisfies the properties of a vector space. This means that it is closed under addition and scalar multiplication, and contains the zero vector. It also must contain all linear combinations of its vectors.

2. How do you determine if a set of vectors forms a subspace?

To determine if a set of vectors forms a subspace, you can check if it satisfies the properties of a vector space. This includes checking if it is closed under addition and scalar multiplication, and if it contains the zero vector. You can also check if it contains all linear combinations of its vectors.

3. What is the dimension of a subspace?

The dimension of a subspace is the number of vectors in a basis for that subspace. It represents the number of independent directions or degrees of freedom within the subspace.

4. How do you find a basis for a subspace?

To find a basis for a subspace, you can use the spanning set method or the linear independence method. The spanning set method involves finding a set of vectors that span the subspace, while the linear independence method involves finding a set of linearly independent vectors within the subspace. Both methods will result in a basis for the subspace.

5. Can a subspace be empty?

Yes, a subspace can be empty. This would occur if the set of vectors does not satisfy the properties of a vector space, such as not containing the zero vector or not being closed under addition or scalar multiplication. In this case, the set would not be considered a subspace.

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