2025-03-09

1031: Between Vectors Spaces, Map That Maps Basis onto Basis Bijectively and Expands Mapping Linearly Is 'Vectors Spaces - Linear Morphisms' Isomorphism

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description/proof of that between vectors spaces, map that maps basis onto basis bijectively and expands mapping linearly is 'vectors spaces - linear morphisms' isomorphism

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 between any vectors spaces, any map that maps any basis onto any basis bijectively and expands the mapping linearly is a 'vectors spaces - linear morphisms' isomorphism.

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 }
V1: { the F vectors spaces }
V2: { the F vectors spaces }
J: { the possibly uncountable index sets }
B1: ={b1j|jJ}, { the bases for V1}
B2: { the bases for V2}
f: :B1B2, { the bijections }
g: :V1V2,jSvjb1jjSvjf(b1j), where S{ the finite subsets of J}
//

Statements:
g{ the 'vectors spaces - linear morphisms' isomorphisms }
//


2: Note


V1 or V2 does not need to be finite-dimensional.


3: Proof


Whole Strategy: Step 1: see that g is well-defined; Step 2: see that g is a linear map; Step 3: see that g is injective; Step 4: see that g is surjective; Step 5: conclude the proposition.

Step 1:

Let us see that g is well-defined.

For each element, vV1, v=jSvjb1j where S is a finite subset of J, by the definition of basis of module.

The decomposition is unique, by the proposition that for any module with any basis, the components set of any element with respect to the basis is unique.

So, g is determined for each element of V1 unambiguously.

Step 2:

g is a linear map, by the proposition that from any module with any basis into any module, a linear map can be defined by mapping the basis and linearly expanding the mapping: f is mapping the basis, B1, and g is linearly expanding f.

Step 3:

Let us see that g is injective.

Let v,vV1 be any such that vv.

v=jSvjb1j and v=jSvjb1j.

g(v)=jSvjf(b1j) and g(v)=jSvjf(b1j).

Let us suppose that g(v)=g(v).

{f(b1j)|jSS}B2 was distinct, because f was bijective.

By the proposition that for any module with any basis, the components set of any element with respect to the basis is unique, S=S and vj=vj, a contradiction against vv.

So, g(v)g(v).

Step 4:

Let us see that g is surjective.

For each v2V2, v2=j{1,...,n}vjb2j, where b2jB2.

As f is bijective, {f1(b21),...,f1(b2n)}={b1j1,...,b1jn}B1 is valid and distinct.

v1b1j1+...+vnb1jnV1 and g(v1b1j1+...+vnb1jn)=v1f(b1j1)+...+vnf(b1jn)=v1b21+...+vnb2n=v2.

Step 5:

So, g is a 'vectors spaces - linear morphisms' isomorphism, by the proposition that any bijective linear map between any vectors spaces is a 'vectors spaces - linear morphisms' isomorphism.


References


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