description/proof of that for vectors space with topology induced by metric induced by norm induced by inner product, orthogonal complement of subset of vectors space is closed vectors subspace
Topics
About: vectors space
About: topological space
The table of contents of this article
Starting Context
- The reader knows a definition of norm induced by inner product on real or complex vectors space.
- The reader knows a definition of metric induced by norm on real or complex vectors space.
- The reader knows a definition of topology induced by metric.
- The reader knows a definition of orthogonal complement of subset of vectors space with inner product.
- The reader admits the proposition that for any vectors space, any nonempty subset of the vectors space is a vectors subspace if and only if the subset is closed under linear combination.
- The reader admits the proposition that for any real or complex vectors space with the topology induced by the metric induced by the norm induced by any inner product, the inner product with any 1 argument fixed is a continuous map.
- The reader admits the proposition that any topological spaces map is continuous if and only if the preimage of any closed subset of the codomain is closed.
Target Context
- The reader will have a description and a proof of the proposition that for any vectors space with the topology induced by the metric induced by the norm induced by any inner product, the orthogonal complement of any subset of the vectors space is a closed vectors subspace.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
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Statements:
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Without supposing any topology,
2: Proof
Whole Strategy: Step 1: see that
Step 1:
Let us see that
Let
For each
By the proposition that for any vectors space, any nonempty subset of the vectors space is a vectors subspace if and only if the subset is closed under linear combination,
Step 2:
For each
As