2024-07-14

681: For Finite-Dimensional Vectors Space, Linearly Independent Subset with Dimension Number of Elements Is Basis

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description/proof of that for finite-dimensional vectors space, linearly independent subset with dimension number of elements is basis

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, any linearly independent subset with dimension number of elements is a basis.

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 }
S: { the linearly independent subsets of V}
//

Statements:
|S|=d, where |S| denotes the cardinality of S

S{ the bases of V}



2: Natural Language Description


For any field, F, and any d-dimensional F vectors space, V, any linearly independent subset, SV, with d elements is a basis of V.


3: Proof


Whole Strategy: Step 1: augment S to be a basis; Step 2: see that S is not really augmented.

Step 1:

S can be augmented to become a basis, by the proposition that for any finite-dimensional vectors space, any linearly independent subset can be expanded to be a basis by adding a finite number of elements.

Step 2:

But if some positive number of elements were added to become a basis, the basis would have more than d elements, a contradiction against the proposition that for any finite-dimensional vectors space, there is no basis that has more than the dimension number of elements. That means that S has been already a basis with nothing added.


References


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