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closure of a vector subspace in a normed space is a vector subspace
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(Result)
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Let $(V, \| \cdot \|)$ be a normed space, and $S \subset V$ a vector subspace. Then $\overline{S}$ is a vector subspace in $V$
Proof
First of all, $0 \in \overline{S}$ because $0 \in S$ Now, let $x, y \in \overline{S}$ and $\lambda \in K$ (where $K$ is the ground field of the vector space $V$ . Then there are two sequences in $S$ say $(x_n)_{n \in \mathbb{N}}$ and $(y_n)_{n \in \mathbb{N}}$ which converge to $x$ and $y$ respectively.
Then, the sequence $(x_n + \lambda \cdot y_n)_{n \in \mathbb{N}}$ is a sequence in $S$ (because $S$ is a vector subspace), and it's trivial (use properties of the norm) that this sequence converges to $x + \lambda \cdot y$ and so this sum is a vector which lies in $\overline{S}$
We have proved that $\overline{S}$ is a vector subspace. QED.
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"closure of a vector subspace in a normed space is a vector subspace" is owned by gumau.
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Cross-references: QED, vector, sum, norm, properties, converge, sequences, vector space, ground field, proof, vector subspace, normed space
This is version 4 of closure of a vector subspace in a normed space is a vector subspace, born on 2005-02-04, modified 2005-02-04.
Object id is 6709, canonical name is ClosureOfAVectorSubspaceIsAVectorSubspace.
Accessed 1730 times total.
Classification:
| AMS MSC: | 15A03 (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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Pending Errata and Addenda
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