Proposition
A subset of is a subspace of if and only if satisfies:
- implies .
- , implies .
Proof
"" Assume subspace of . Then is a vector space with . Therefore, trivially satisfies conditions 1), 2), and 3).
"" Assume satisfies conditions 1), 2), and 3). Clearly, (by assumption), and addition and scalar multiplication are well-defined on . If , then, by 3), . So contains all additive inverses. Since , any is also in . So the vector space properties (associativity, distributivity, commutativity, and existence of an identity) are trivially held for any elements in since they are held for those elements in the vector space .
Example
- For which is a subspace of ? Since , we must have so .
- The set of differentiable real-valued functions on is a subspace of :
- and is differentiable.
- If are differentiable, so is .
- If is differentiable and , then is differentiable. differentiable subspace of . Similarly, continuous functions are a subspace of .
- The set of complex sequences with is a subspace of .
Sums of Subspaces
Definition
Suppose are subspaces of . The sum of is
Example
- Let and , then .
- Let and let . Then we claim .
Proposition
is the smallest subspace of containing .
Defined Direct Sums
We know can be expressed as .