2024-12-01

882: Set of C Sections of C Vectors Bundle Linearly Independent at Point Is Linearly Independent on Open Neighborhood of Point

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description/proof of that set of C sections of C vectors bundle linearly independent at point is linearly independent on open neighborhood of point

Topics


About: C manifold

The table of contents of this article


Starting Context



Target Context


  • The reader will have a description and a proof of the proposition that the set of any C sections of any C vectors bundle that (the set) is linearly independent at a point is linearly independent on an open neighborhood of the point.

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:
(E,M,π): { the d -dimensional C vectors bundles of rank k}
p: M
{s1,...,sl}: lk, sj:ME{ the C sections }, such that {s1(p),...,sl(p)}{ the linearly independent subsets of π1(p)}
//

Statements:
VpM{ the open neighborhoods of p}(pVp({s1(p),...,sl(p)}{ the linearly independent subsets of π1(p)}))
//


2: Natural Language Description


For any d-dimensional C vectors bundle of rank k, (E,M,π), any point, pM, and the set of any C sections, {s1,...,sl}, such that lk, sj:ME, and {s1(p),...,sl(p)} is a linearly independent subset of π1(p), there is a neighborhood of p, VpM, such that for each pVp, {s1(p),...,sl(p)} is a linearly independent subset of π1(p).


3: Proof


Whole Strategy: Step 1: take a chart trivializing open subset of M around p, (UpM,ϕp), and the induced chart, (π1(Up)E,ϕp~); Step 2: take the components function of sj, fj:=ϕp~sjϕp1; Step 3: see that {πkf1,...,πkfl}, where πk is the projection into Rk, is linearly independent on Rk at ϕp(p) and that the corresponding matrix is rank l, which means that there is a nonzero-determinant l×l submatrix; Step 4: take an open neighborhood of ϕp(p), Uϕp(p)ϕp(Up), on which the determinant of the submatrix is nonzero; Step 5: take Vp:=ϕp1(Uϕp(p)) and see that {s1,...,sl} is linearly independent on Vp.

Step 1:

Let us take a chart trivializing open subset of M around p, (UpM,ϕp), which is possible by the proposition that for any C vectors bundle, there is a chart trivializing open cover.

Let us take the induced chart, (π1(Up)E,ϕp~), which is possible by the proposition that for any C vectors bundle, the trivialization of any chart trivializing open subset induces the canonical chart map.

Step 2:

Let us take the components function of sj, fj:=ϕp~sjϕp1:ϕp(Up)ϕp~(π1(Up)), which is C.

Step 3:

Let πk:Rd+k or Hd+kRk be the projection.

Let us think of {πkf1,...,πkfl}.

Let us see that {πkf1(ϕp(p)),...,πkfl(ϕp(p))} is a linearly independent subset of Rk.

πkfj(ϕp(p))=πkϕp~sjϕp1(ϕp(p))=πkϕp~sj(p)=πkλ(ϕp,id)Φsj(p), where Φ is the trivialization by which ϕp~ is induced, so, is 'vectors spaces - linear morphisms' isomorphic at each fiber (so, especially at π1(p), where sj(p) s belong), and so, {πkf1(ϕp(p)),...,πkfl(ϕp(p))} is a linearly independent subset of Rk (λ is :Rd+kRd+k,(x1,...,xd,xd+1,...,xd+k)(xd+1,...,xd+k,x1,...,xd) by the way).

Let us think of the k×l matrix, [πkf1(ϕp(p)),...,πkfl(ϕp(p))].

{πkf1(ϕp(p)),...,πkfl(ϕp(p))}'s being linearly independent means that the matrix is rank l, which means that there is a nonzero-determinant l×l submatrix, C.

Step 4:

While we took C as the matrix at ϕp(p), now, let us think C as the map from ϕp(Up): it is the l×l submatrix of [πkf1,...,πkfl].

As each component of C is continuous (in fact, C) with respect to ϕp(Up), detC is continuous (in fact, C) with respect to ϕp(Up).

So, there is an open neighborhood of ϕp(p), Uϕp(p)ϕp(Up), on which detC0, which means that {πkf1,...,πkfl} is linearly independent on Uϕp(p).

Step 5:

Let us take Vp:=ϕp1(Uϕp(p)).

VpUp is an open neighborhood of p.

On Vp, {πkf1ϕp,...,πkflϕp}={πkϕp~s1ϕp1ϕp,...,πkϕp~slϕp1ϕp}={πkϕp~s1,...,πkϕp~sl} is linearly independent.

Then, {s1,...,sl}={ϕp~1ϕp~s1,...,ϕp~1ϕp~sl} is linearly independent on Vp, because ϕp~=λ(ϕp,id)Φ and Φ is 'vectors spaces - linear morphisms' isomorphic at each fiber (so, especially at each π1(p) for each pVp).


References


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