2024-08-25

744: Orthogonal Linear Map Between Same-Finite-Dimensional Normed Vectors Spaces Is 'Vectors Spaces - Linear Morphisms' Isomorphism and Inverse Is Orthogonal Linear Map

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description/proof of that orthogonal linear map between same-finite-dimensional normed vectors spaces is 'vectors spaces - linear morphisms' isomorphism and inverse is orthogonal linear map

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 any orthogonal linear map between any same-finite-dimensional normed vectors spaces is a 'vectors spaces - linear morphisms' isomorphism and the inverse is an orthogonal linear map.

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: {R,C}, with the canonical field structure
V1: { the d -dimensional normed F vectors spaces }
V2: { the d -dimensional normed F vectors spaces }
f: :V1V2, { the orthogonal linear maps }
//

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

f1{ the orthogonal linear maps }
//


2: Natural Language Description


For any F{R,C}, with the canonical field structure, any d-dimensional normed F vectors spaces, V1,V2, and any orthogonal linear map, f:V1V2, f is a 'vectors spaces - linear morphisms' isomorphism, and f1 is an orthogonal linear map.


3: Proof


Whole Strategy: Step 1: see that f is a motion, so, f is injective, and so, f is a 'vectors spaces - linear morphisms' isomorphism; Step 2: see that for each vV2, v=f1(v).

Step 1:

f is a motion, by the proposition that any orthogonal linear map is a motion.

f is injective, by the proposition that any motion is injective.

f is a 'vectors spaces - linear morphisms' isomorphism, by the proposition that any linear injection between any same-finite-dimensional vectors spaces is a 'vectors spaces - linear morphisms' isomorphism.

So, f1 exists.

Step 2:

Let vV2 be any. v=f1(v)?

v=ff1(v)=f1(v). So, yes.


References


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