Terminologies used to describe tensor product of vector spaces

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Discussion Overview

The discussion revolves around the various terminologies and definitions related to the tensor product of vector spaces, specifically focusing on the dyadic tensor product of vectors and its implications in the context of bilinear maps and dual spaces. Participants explore the mathematical foundations and different perspectives on how these concepts are defined and understood.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant describes the dyadic tensor product of vectors ##u, v \in V## as ##u \otimes v##, suggesting it is a bilinear map defined on the Cartesian product ##V^* \times V^* \rightarrow \mathbb R##.
  • Another participant asserts that the tensor product exists uniquely up to isomorphism, indicating that the realization method is not critical.
  • There is a discussion on defining product tensors ##e_i \otimes e_j## based on their action on associated dual-vectors ##\{e^i\}##, with emphasis on their role as bilinear maps.
  • One participant raises a concern about the circularity in defining the tensor product of biduals ##u^{**} \otimes v^{**}## and questions how this definition is established.
  • Another participant mentions the Universal Property of the tensor product, linking it to linearizing multilinear maps and the relationship between vector spaces and their duals.
  • A later reply introduces the notation ##m \otimes_{R} n## in the context of bilinear maps and suggests that diagram-chasing may provide further insights.

Areas of Agreement / Disagreement

Participants express differing views on the definitions and implications of the tensor product, with no consensus reached on the circularity of definitions or the best approach to understanding the product tensors.

Contextual Notes

Some participants highlight the dependence on specific definitions and the potential for circular reasoning in the definitions of tensor products and biduals. The discussion reflects a range of perspectives without resolving the underlying complexities.

cianfa72
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TL;DR
About the terminologies used to describe tensor product of vector spaces
Hi,
I'm in trouble with the different terminologies used for tensor product of two vectors.

Namely a dyadic tensor product of vectors ##u, v \in V## is written as ##u \otimes v##. It is basically a bi-linear map defined on the cartesian product ##V^* \times V^* \rightarrow \mathbb R##.

From a technical point of view, I believe it is actually the tensor product of the bidual ##u^{**} \otimes v^{**}##, then using the canonical isomorphism ##V \cong V^{**}## we are allowed to understand it as the product tensor of the two vector ##u, v \in V##.

In general when we talk of the product tensor ##u \otimes v## we have in mind the dyadic tensor given by the product tensor of the canonically associated bi-duals ##u^{**}## and ##v^{**} \in V^{**}##.

Other thing is the product tensor of vector spaces such as ##V \otimes V##. This is again the full set of bi-linear application from the cartesian product ##V^* \times V^* \rightarrow \mathbb R## (which is its own a vector space).

Does it make sense ? Thanks.
 
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The tensor product exists and is unique (up to isomorphism), so it doesn't matter how you realize it. For example the way you describe it. Or you can start with a basis ##\{e_i\}## for ##V## and consider the vector space with basis ##\{e_i\otimes e_j\}## modulo the subspace generated by ##\{(a+b)\otimes c - a\otimes c - b\otimes c, etc\}##.
 
martinbn said:
Or you can start with a basis ##\{e_i\}## for ##V## and consider the vector space with basis ##\{e_i\otimes e_j\}##.
Yes, but how do you define the product tensors ##e_i\otimes e_j## ? They are defined by how they act on the associated dual-vectors ##\{e^i\}##, i.e. an element ##e_i\otimes e_j## is a bi-linear map from the cartesian product of dual-spaces.
 
cianfa72 said:
Yes, but how do you define the product tensors ##e_i\otimes e_j## ? They are defined by how they act on the associated dual-vectors ##\{e^i\}##, i.e. an element ##e_i\otimes e_j## is a bi-linear map from the cartesian product of dual-spaces.
Call them ##e_{ij}## if you prefer. It is just a set of one element for each pair of basis vectors.
 
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The tensor product is often described through its Universal Property of linearizing multilinear maps. Given an inner-product, the isomorphism between V, V* becomes a natural one.
 
Was that your question?
 
My question was to understand how the tensor product ##u \otimes v## is defined for vectors ##u,v \in V##. We can define it in terms of bi-duals ##u^{**}## and ##v^{**}## even though it seems to me like a tautology/circular (how is defined the tensor product ##u^{**} \otimes v^{**}##) ?
 
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## m \otimes_{R} n## is the linear map on ##M \otimes_{R} N \rightarrow P##, for ##P##; ##R## a ring; possibly a field, in the right category ( V Space, module, etc.), as image of a bilinear map B , that assumes the value## B(m,n)##
It's a matter of diagram-chasing. Maybe @fresh_42 can elaborate after he's done with his European vacation.
 
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