2025-02-16

1012: For Finite-Dimensional Vectors Space, Transition of Dual Bases for Covectors Space w.r.t. Bases for Vectors Space Is This

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description/proof of that for finite-dimensional vectors space, transition of dual bases for covectors space w.r.t. bases for vectors space is this

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 finite-dimensional vectors space, the transition of the dual bases for the covectors space with respect to any bases for the vectors space is this.

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 d -dimensional F vectors spaces }
V: = the covectors space of V
B: { the bases for V}, ={b1,...,bd}
B: { the bases for V}, ={b1,...,bd}
B: = the dual basis of B, ={b1,...,bd}
B: = the dual basis of B, ={b1,...,bd}
//

Statements:
bj=bkMjk

bj=M1kjbk
//


2: Proof


Whole Strategy: Step 1: let bj=Nkjbk; Step 2: let the both hand sides operate on bl, and see that Nkj=M1kj.

Step 1:

Let bj=Nkjbk, which is possible because B is a basis for V and bjV.

Step 2:

bj(bl)=Nkjbk(bl)=Nkjδlk=Nlj.

The matrix, M, has the inverse, M1, because otherwise, B would not be linearly independent.

From bj=bkMjk, bjM1lj=bkMjkM1lj=bkδlk=bl.

So, Nkj=bj(bk)=bj(blM1kl)=M1klbj(bl)=M1klδlj=M1kj.


References


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