Do subspaces of a vector space contain additive inverses of its elements

linear algebraset-theoryvector-spaces

In the textbook 'Linear Algebra Done Right' by 'Sheldon Axler', the requirements for a subspace are listed as

  • contains the additive identity
  • is closed under addition
  • is closed under scalar multiplication

There is no requirement for containing additive inverses.

So if subspaces are vector spaces themselves, shouldn't containing additive inverses also be a requirement??

Best Answer

There's no need for a separate axiom for the existence of additive inverses, since closure under scalar multiplication means $-1 \cdot v$ for any $v \in V$ and $-1 \cdot v$ is an additive inverse of $v$: $$-1 \cdot v + v = -1 \cdot v + 1 \cdot v = (-1 + 1) \cdot v = 0 \cdot v = 0.$$