Understanding Tensor Products: A Comprehensive Guide

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Discussion Overview

The discussion revolves around the concept of tensor products, particularly in the context of vector spaces and their associated linear and bilinear maps. Participants explore foundational definitions and clarify misunderstandings related to these mathematical concepts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses difficulty in understanding tensor products and requests clarification.
  • Another participant explains that the tensor product of vector spaces allows bilinear maps to be represented as linear maps from the tensor product space to another space.
  • A participant indicates a lack of understanding regarding bilinear maps, linear maps, and vector spaces, suggesting a need for foundational knowledge.
  • Some participants suggest that understanding linear and bilinear maps is essential before tackling tensor products.
  • A participant attempts to define linear and bilinear vector spaces but receives feedback that their understanding is incorrect or unclear.
  • Another participant mentions that a dot product is an example of a bilinear map and describes the tensor product as a means to linearize bilinear maps.
  • There is a suggestion to refer to definitions and clarify terminology, as some terms may be used interchangeably.

Areas of Agreement / Disagreement

Participants generally agree on the importance of understanding linear and bilinear maps as a prerequisite for grasping tensor products. However, there is disagreement regarding the definitions and relationships between these concepts, with some participants expressing confusion and others providing corrections.

Contextual Notes

Some participants highlight the need for careful reading of definitions, indicating that misunderstandings may stem from misinterpretations of terms like "vector space," "linear," and "bilinear." There are unresolved issues regarding the clarity of these definitions and their implications for understanding tensor products.

Who May Find This Useful

This discussion may be useful for individuals seeking to understand tensor products, linear maps, and bilinear maps, particularly those who are new to these concepts in mathematics.

dimension10
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I've searched everywhere about tensor products but I just can't understand them. Can anyone please explain this concept to me?
 
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If you can tell us what you don't understand, we may help you better.

If you are talking about vector spaces, then the tensor product V(x)W
gives you a new vector space in which every bilinear map from VxW into
a third space Z becomes a linear map from V(X)W--->Z .

The existence of the tensor product follows from some algebraic lemmas
that guarantee that certain maps factor through; conditions on the kernel
of homomorphisms that allow a bilinear map VxW-->Z to factor through
V(X)W.

But if we don't know your background, or more specifically where you are
stuck, it is difficult to suggest something.
 
Bacle said:
If you can tell us what you don't understand, we may help you better.

If you are talking about vector spaces, then the tensor product V(x)W
gives you a new vector space in which every bilinear map from VxW into
a third space Z becomes a linear map from V(X)W--->Z .

The existence of the tensor product follows from some algebraic lemmas
that guarantee that certain maps factor through; conditions on the kernel
of homomorphisms that allow a bilinear map VxW-->Z to factor through
V(X)W.

But if we don't know your background, or more specifically where you are
stuck, it is difficult to suggest something.

I do not understand bilinear maps, linear maps and vector spaces. I do not even know what tensor products are about. Thanks.
 
Tensor products are about linear and bilinear maps between vector spaces (in the simplest case!). And they are substantially more difficult to grasp than those. So I suggest you start by understanding linear and bilinear maps on vector space.
 
quasar987 said:
Tensor products are about linear and bilinear maps between vector spaces (in the simplest case!). And they are substantially more difficult to grasp than those. So I suggest you start by understanding linear and bilinear maps on vector space.

Thanks. I managed to understand linear and bilinear vector spaces. This helped me understand tensor products, but I'm afraid I might be having a misconception. Is it true that a linear vector space is a function of 2 vectors such that the diagonal vector is a sum of the 2 vectors? Am I right to say that a bilinear vector space is a function of linear vector spaces and that a tensor product is a function of vector spaces.

Such that:

V(X)W=f(f(x,y)?
 
You're neither right on wrong. None of what you wrote makes sense. Best to go back to the books.
 
dimension10:

Read your definitions more carefully. A map can be linear or bilinear, but
not so for a vector space.

I don't know if you are thinking of tensoring linear maps, maybe, but
even then, you are kinda off.
 
Bacle said:
dimension10:

Read your definitions more carefully. A map can be linear or bilinear, but
not so for a vector space.

I don't know if you are thinking of tensoring linear maps, maybe, but
even then, you are kinda off.

Oh, so vector spaces have only one type? Linear?
 
a dot product is a bilinear map. a tensor product is a technical device which linearizes all bilinear maps.see my notes on my web page, or search my many posts here for this topic.
 
  • #10
This thread will be useful once you have understood the definitions of the terms "vector space", "linear" and "bilinear". Start with the definitions.

Sometimes one of the terms "linear vector space" or "linear space" is used instead of "vector space", but they all mean the same thing.
 
Last edited:
  • #11
mathwonk said:
a dot product is a bilinear map. a tensor product is a technical device which linearizes all bilinear maps.


see my notes on my web page, or search my many posts here for this topic.

Oh! Thanks!
 

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