Condition for being a subspace

Dependencies:

  1. Vector Space
  2. Condition for a subset to be a subgroup
  3. Negation in vector space

Let W be a subset of a vector space V over F. Then W is a subspace of V iff it is closed under addition and scalar multiplication.

Proof

If W is a subspace of V, then W is closed under addition and scalar multiplication by the axioms of a vector space.

W inherits scalar associativity, distributivity and existence of scalar identity from V. We only need to prove that W is an abelian group.

u,vW(by scalar multiplication closure)u,(1)vWu,vW(by addition closure)uvW

Therefore, W is a group. W inherits additive commutativity from V, so it is an abelian group.

Dependency for:

  1. Kernel of linear transformation is subspace of domain
  2. Range of linear transformation is subspace of codomain
  3. Eigenspace

Info:

Transitive dependencies:

  1. Group
  2. Ring
  3. Field
  4. Vector Space
  5. Zeros in vector space
  6. Negation in vector space
  7. Identity of a group is unique
  8. Subgroup
  9. Inverse of a group element is unique
  10. Conditions for a subset to be a subgroup
  11. Condition for a subset to be a subgroup