2024-07-14

678: For Finite-Dimensional Vectors Space, There Is No Basis That Has More Than Dimension Elements

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description/proof of that for finite-dimensional vectors space, there is no basis that has more than dimension elements

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, there is no basis that has more than the dimension number of elements.

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 }
//

Statements:
¬B{ the bases of V}(d<|B|), where |B| denotes the cardinality of B
//


2: Natural Language Description


For any field, F, and any d-dimensional F vectors space, V, there is no basis of V, B, whose cardinality is larger than d.


3: Proof


Whole Strategy: Step 1: take a d-cardinality basis; Step 2: suppose any other basis with any cardinality larger than d; Step 3: find a contradiction: the another basis was not indeed any basis.

Step 1:

Let us remember that the dimension is the minimum cardinality of the bases of the space. So, there is a basis, B={e1,e2,...,ed}.

Step 2:

Let us suppose that a basis was a B={eα|αA}, where A was a possibly uncountable index set whose cardinality was larger than d.

Step 3:

Step 3 Strategy: modify B by replacing each element of B by an element of B to be still a basis, then the new basis would be a proper subset of B, which could not be any basis.

Each eα would be a linear combination of ej s, and there would be an eα whose coefficient for e1 was not 0, because otherwise, V would be spanned by only {e2,e3,...,ed}, a contradiction against {e1,e2,...,ed}'s being a basis. So, e1 could be replaced by the eα to form a basis, by the proposition that for any finite dimensional vectors space basis, replacing an element by any linear combination of the elements with any nonzero coefficient for the element forms a basis. Let us denote the eα as e1.

Let us suppose that e1,...,ek had been already replaced by e1,...,ek to form a basis. Each eα would be a linear combination of the elements of the new basis, and there would be an eα whose coefficient for ek+1 was not 0, because otherwise, V would be spanned by only (e1,...,ek,ek+2,...,ed), a contradiction against (e1,...,ek,ek+1,...,ed)'s being a basis. In fact, eα was not any of ej s, because otherwise, eα=ej=c1e1+...+ckek+ck+1ek+1+...+dded, and c1e1+...+(cj1)ej+...+ckek+ck+1ek+1+...+cded=0, where ck+10, a contradiction against the elements of the new basis being linearly independent. So, ek+1 could be replaced by the eα as ek+1 to form a basis, by the proposition that for any finite dimensional vectors space basis, replacing an element by any linear combination of the elements with any nonzero coefficient for the element forms a basis.

After all, e1,...,ed had been replaced by e1,...,ed to form a basis.

There would be an eα that was not chosen to be an ej, and eα would be a linear combination of e1,...,ed, a contradiction against B's being a basis.

So, the number of the elements of B is equal to or smaller than d.


4: Note


In fact, the number of the elements of B cannot be smaller than d by the definition of dimension of vectors space, so, the number of the elements of any basis of any finite-dimensional vectors space is guaranteed to be the dimension.


References


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