A Subset of a Vector Space is a Subspace iff it is closed under scaling and addition
# Statement
$W$ is a Vector Subspace of $V$ If and Only If $c u + v \in W$ for all $c \in F$ and $u, v \in W$.
# Proof
$(\Rightarrow)$: If $W$ is a Vector Subspace of $V$, then it is a Vector Space itself and $c u + v \in W$ by closure of $W$ under $+$ and $*$. $\checkmark$
$(\Leftarrow)$: We simply check that $W$ is a Vector Space in its own right since we already know $W \subset V$. We let $c, d \in F$ and $u, v, w \in W$ be arbitrary.
- Abelian Group:
- $W \ni (-1) u + u = \mathbf{0}$ because Scalar product with -1 is additive inverse in vector spaces
- $W \ni 1 * u + v = u + v = v + u$, so Commutativity is satisfied by inheritance from $V$. This also establishes that $+$ is well-defined when restricted to $W$
- $W \ni 1 * u + (1 * v + w) = u + (v + w) = (u + v) + w$, so Associativity is satisfied by inheritance from $V$.
- $W \ni (-1) * u + \mathbf{0} = -u$, so $W$ contains Additive Inverses
- Compatibility with Scalar Multiplication. Note that $W \ni c * u + \mathbf{0} = c * u$, so $*$ is well-defined when restricted to $W$.
- $1 * u = u$, by inheritance from $V$.
- $(cd)*u = c * (d * u)$, by inheritance from $V$.
- $(c + d) * u = c * u + d * u$ by inheritance from $V$.
- $c * (u + v) = c * u + c * v$ by inheritance from $V$
Thus $+$ and $*$ are well-defined when restricted to $W$, and $W$ is a Vector Space. $\blacksquare$
# Remarks
- This provides an alternate definition for Vector Subspace.