2025-02-16

1009: Dual Basis for Covectors (Dual) Space of Basis for Finite-Dimensional Vectors Space

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definition of dual basis for covectors (dual) space of basis for finite-dimensional vectors space

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of dual basis for covectors (dual) space of basis for finite-dimensional vectors space.

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 finite-dimensional F vectors spaces }
V: =L(V:F)
J: { the finite index sets }
B: { the bases for V}, ={bj|jJ}
B: { the bases for V}, ={bj|jJ}
//

Conditions:
jJ(kJ(bj(bk)=δkj))
//


2: Note


Let us see that B is indeed a basis for V.

Let wV be any. For each jJ, wj:=w(bj)F. For each vV, v=vjbj, and w(v)=w(vjbj)=vjw(bj)=vjwj. wjbj(v)=wjbj(vkbk)=wjvkbj(bk)=wjvkδkj=wjvj. So, w=wjbj, which means that B spans V.

Let cjbj=0. cjbj(bk)=0(bk)=0, but cjbj(bk)=cjδkj=ck, so, ck=0 for each kJ, which means that B is linearly independent.

V inevitably has the dimension of V.

For each wV, the components of w with respect to B are w(b1),...,w(bd).

It is crucial that V is finite-dimensional: otherwise, wjbj may not make sense, because some infinitely many wj s may be nonzero.


References


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