2022-08-21

119: For Linear Map from Finite Dimensional Vectors Space, There Is Domain Subspace That Is 'Vectors Spaces - Linear Morphisms' Isomorphic to Image by Restriction of Map

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A description/proof of that for linear map from finite dimensional vectors space, there is domain subspace that is 'vectors Spaces - linear morphisms' isomorphic to image by restriction of 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 for any linear map from any finite dimensional vectors space, there is a domain subspace that is 'vectors spaces - linear morphisms' isomorphic to the map image by the restriction of the map on the subspace domain.

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: Description


For any finite dimensional vectors space, V1, any vectors space, V2, and any linear map, f:V1V2, there is a domain subspace that is 'vectors spaces - linear morphisms' isomorphic to the map image, f(V1), by the restriction of f on the subspace domain.


2: Proof


By the the proposition that the image of any linear map from any finite dimensional vectors space is a vectors space, f(V1) is a vectors space. As is shown in the proof of the proposition, there is a subset of any basis for V1, b1,b2,...,br, whose space surjectively maps to f(V1). As the domain subspace is of the same dimension with f(V1), by the proposition that any linear surjection from any finite dimensional vectors space to any same dimensional vectors space is a 'vectors spaces - linear morphisms' isomorphism, the linear surjection from the domain subspace to f(V1) (the restriction of f to the domain subspace) is a 'vectors spaces - linear morphisms' isomorphism.


References


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