2025-05-06

1103: For Vectors Space with Topology Induced by Metric Induced by Norm Induced by Inner Product and Subspace, Closure of Subspace Is Subspace

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description/proof of that for vectors space with topology induced by metric induced by norm induced by inner product and subspace, closure of subspace is subspace

Topics


About: vectors space

The table of contents of this article


Starting Context



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 and any subspace, the closure of the subspace is a 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:
F: { the fields }
V: { the F vectors spaces }
V: { the vectors subspaces of V}
//

Statements:
V{ the vectors subspaces of V}
//


2: Proof


Whole Strategy: see that for each v1,v2V, r1v1+r2v2V; Step 1: take any neighborhood of r1v1+r2v2, Nr1v1+r2v2V, and an open ball around r1v1+r2v2, Br1v1+r2v2,ϵ, such that Br1v1+r2v2,ϵNr1v1+r2v2; Step 2: take an open ball around v1, Bv1,δ, and an open ball around v2, Bv2,δ, take any v1Bv1,δV and any v2Bv2,δV, and choose δ such that r1v1+r2v2Br1v1+r2v2,ϵ.

Step 1:

Let v1,v2V and r1,r2F be any.

We intend to see that r1v1+r2v2V, because then, 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, V will be a vectors subspace.

When r1=r2=0, r1v1+r2v2=0VV.

Let us suppose that r10 or r20 hereafter.

Let any neighborhood of r1v1+r2v2 be Nr1v1+r2v2V.

There is an open ball around r1v1+r2v2, Br1v1+r2v2,ϵV, such that Br1v1+r2v2,ϵNr1v1+r2v2.

Step 2:

Let us take an open ball around v1, Bv1,δV, where δ will be determined later.

Let us take the open ball around v2, Bv2,δV.

As v1V, there is a v1V such that v1Bv1,δ, because Bv1,δV.

As v2V, there is a v2V such that v2Bv2,δ, because Bv2,δV.

We intend to choose δ such that r1v1+r2v2Br1v1+r2v2,ϵ, because r1v1+r2v2V and that will mean that Br1v1+r2v2,ϵV.

r1v1+r2v2(r1v1+r2v2),r1v1+r2v2(r1v1+r2v2)=r1(v1v1)+r2(v2v2),r1(v1v1)+r2(v2v2)=|r1|2v1v1,v1v1+|r2|2v2v2,v2v2+r1r2v1v1,v2v2+r2r1v2v2,v1v1|r1|2v1v1,v1v1+|r2|2v2v2,v2v2+|r1r2v1v1,v2v2|+|r2r1v2v2,v1v1|=|r1|2v1v1,v1v1+|r2|2v2v2,v2v2+|r1||r2||v1v1,v2v2|+|r2||r1||v2v2,v1v1|=|r1|2v1v1,v1v1+|r2|2v2v2,v2v2+2|r1||r2||v1v1,v2v2|.

By the Cauchy-Schwarz inequality for any real or complex inner-producted vectors space, |v1v1,v2v2|v1v1,v1v1v2v2,v2v2.

So, r1v1+r2v2(r1v1+r2v2),r1v1+r2v2(r1v1+r2v2)<|r1|2δ2+|r2|2δ2+2|r1||r2|δ2=δ2(|r1|2+|r2|2+2|r1||r2|).

So, let us choose δ such that δ2(|r1|2+|r2|2+2|r1||r2|)<ϵ2, so, δ2<ϵ2/(|r1|2+|r2|2+2|r1||r2|), which is possible.

Then, r1v1+r2v2(r1v1+r2v2),r1v1+r2v2(r1v1+r2v2)<ϵ2, which means that r1v1+r2v2Br1v1+r2v2,ϵNr1v1+r2v2, which means that r1v1+r2v2Nr1v1+r2v2V, which means that Nr1v1+r2v2V.

So, r1v1+r2v2V.

So, 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, V is a vectors subspace of V.


References


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