2024-08-18

736: Projection of Vector into Vectors Subspace w.r.t. Complementary Subspace

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definition of projection of vector into vectors subspace w.r.t. complementary subspace

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of projection of vector into vectors subspace with respect to complementary 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}
V~: { the complementary subspaces of V}
v: =v+v~, V
v:
//

Conditions:
vVv~V~
//


2: Natural Language Description


For any field, F, any F vectors space, V, any vectors subspace of V, V, any complementary subspace of V, V~, and any element, v=v+v~V such that vV and v~V~, v


3: Note


Once V and V~ are specified, the projection is uniquely determined, as is described in Note for the definition of complementary subspace of vectors subspace.

A complementary subspace is need to be specified in order to talk about projection, because the projection depends on the choice of complementary subspace.

For example, when V is the span of the basis, (e1,e2), and V is the span of the basis, (e1), if V~ as the span of the basis, (e2), is the complementary subspace, the projection of e1+e2 is e1, but if V~ as the span of the basis, (e1+e2), is the complementary subspace, the projection of e1+e2 is 0.


References


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