Vector Subspace

🅟 Apr 15, 2026

  🅤 May 04, 2026

SVS#DEF. Vector Subspace.

Let $(V,F,\cdot)$ be a vector space. $(W,F,\cdot)$ is a vector subspace of $V$ if it is a vector space and $W\subseteq V$.


SVS#PROP-A.

Let $V$ be a vector space over $F$ and $W\subseteq V$. $W$ is a subspace as soon as:

  1. \[0 \in W.\]
  2. Closure under addition. For all $x$, $y\in W$,

    \[x+y \in W.\]
  3. Closure under scalar multiplication. For all $x\in W$ and $\lambda\in F$,

    \[\lambda x \in W.\]

SVS#PROP-IT.

Let $V$ be a vector space and $\mathcal{W}$ be a collection of subspaces. Then

\[\bigcap\mathcal{W}\]

is also a subspace.

SVS#PROP-U.

Let $V$ be a vector space and $W$, $W’$ be subspaces. If $W\cup W’$ is a subspace, then either $W\subseteq W’$ or $W’\subseteq W$.