The aim of this blog is to elucidate why basis change constitutes a natural transformation within the context of vector
The aim of this blog is to elucidate why basis change constitutes a natural transformation within the context of vector spaces.
Consider the categories of finite-dimensional vector spaces over a field , and that of . There exists a functor linking these categories, which depends on the basis system selected for each vector space.
If , then . For morphisms, it is well-known that represents the matrix form of a linear map.
Let's explore a linear map:
Suppose are the basis vectors of and form the dual basis with respect to the chosen basis of .
The matrix representation of is then given by , where .
For more details and an illustrative example, please refer to my previous blog post.
Now, consider a different basis system and the associated functor . The transformation between these bases is a natural isomorphism, illustrated by the following commutative diagram:
Here, is defined as:
Since the functors and each provide a family of isomorphism .
Hence
Indeed, each represents the unique linear map that transforms one basis to another.
For instance, if and represent two different chosen bases of , then is the unique linear map satisfies that
This treatment shows how basis change in vector spaces can be seen as a natural transformation, crucial for understanding the interplay between different coordinate systems and their equivalence under linear transformations.
Remark. I think it is clear enough that given a family of vectors in such as it determined a unique linear transformation . When is injective iff is linearly independent, and is an isomorphism iff is a basis of .
Each is the inverse of Span respect to the basis you selecte.
We are in particular interested in the case that . If and is the basis you selecte.
Since , hence the natural isomorphism is given b .
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