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closure of a vector subspace is a vector subspace (Theorem)
Theorem 1   In a topological vector space the closure of a vector subspace is a vector subspace.
Proof. Let $X$ be the topological vector space over $ \mathbbmss{F}$ where $ \mathbbmss{F}$ is either $ \mathbbmss{R}$ or $ \mathbbmss{C}$ , let $V$ be a vector subspace in $X$ , and let $\overline{V}$ be the closure of $V$ . To prove that $\overline{V}$ is a vector subspace of $X$ , it suffices to prove that $\overline{V}$ is non-empty, and $$ \lambda x + \mu y \in \overline{V} $$ whenever $ \lambda,\mu \in \mathbbmss{F}$ and $x,y\in \overline{V}$ .

First, as $V\subseteq \overline{V}$ , $\overline{V}$ contains the zero vector, and $\overline{V}$ is non-empty. Suppose $\lambda,\mu,x,y$ are as above. Then there are nets $(x_i)_{i \in I}$ , $(y_j)_{j \in J}$ in $V$ converging to $x,y$ , respectively. In a topological vector space, addition and multiplication are continuous operations. It follows that there is a net $(\lambda x_k + \mu y_k)_{k \in K}$ that converges to $\lambda x + \mu y$ .

We have proven that $\lambda x + \mu y \in \overline{V}$ , so $\overline{V}$ is a vector subspace. $ \qedsymbol$




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See Also: closure of a vector subspace in a normed space is a vector subspace, closure of sets closed under a finitary operation


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closure of a vector subspace in a normed space is a vector subspace (Result) by gumau
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Cross-references: converges, operations, continuous, multiplication, addition, nets, zero vector, contains, closure, vector subspace, topological vector space

This is version 5 of closure of a vector subspace is a vector subspace, born on 2005-02-04, modified 2005-03-01.
Object id is 6710, canonical name is ClosureOfAVectorSubspaceIsAVectorSubspace2.
Accessed 1899 times total.

Classification:
AMS MSC15A03 (Linear and multilinear algebra; matrix theory :: Vector spaces, linear dependence, rank)
 46B99 (Functional analysis :: Normed linear spaces and Banach spaces; Banach lattices :: Miscellaneous)
 54A05 (General topology :: Generalities :: Topological spaces and generalizations )

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