Tensor Products - Issue with Cooperstein, Theorem 10.3

In summary, Cooperstein's proof of Theorem 10.3 in his book "Advanced Linear Algebra (Second Edition)" relies on the universal mapping property of the tensor product to show the existence of a linear map \sigma from V to Y, which is needed to prove the isomorphism between X and Y. The second part of the proof explains how this linear map is obtained by using the UMP multiple times. The theorem is ultimately proven by showing that S and T are inverses of each other.
  • #1
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I am reading Bruce N. Coopersteins book: Advanced Linear Algebra (Second Edition) ... ...

I am focused on Section 10.2 Properties of Tensor Products ... ...

I need help with an aspect of the proof of Theorem 10.3 ... ... basically I do not know what is going on in the second part of the proof, after the isomorphism between \(\displaystyle X\) and \(\displaystyle Y\) is proven ... ... ... ... Theorem 10.3 reads as follows:
https://www.physicsforums.com/attachments/5477
View attachment 5478
View attachment 5479Question 1


In the above proof by Cooperstein, we read the following:" ... ... ... it follows that \(\displaystyle S\) and \(\displaystyle T\) are inverses of each other and consequently \(\displaystyle X\) and \(\displaystyle Y\) are isomorphic. ... ... ""Surely, at this point the theorem is proven ... but the proof goes on ... ... ?

Can someone please explain what is going on in the second part of the proof ... ... ?
Question 2

In the above proof we read:"... ... Then \(\displaystyle g (w_1, \ ... \ ... \ , w_t)\) is a multilinear map and therefore by the universality of \(\displaystyle V\) there exists a linear map \(\displaystyle \sigma (w_1, \ ... \ ... \ , w_t)\) from \(\displaystyle V\) to \(\displaystyle Y\) ... ... "

My question is as follows:

What is meant by the universality of \(\displaystyle V\)" and how does the universality of \(\displaystyle V\) lead to the existence of the linear map \(\displaystyle \sigma\) ... ... ?Hope someone can help ... ... Peter
 
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He is referring to the universal mapping property of the tensor product, which guarantees the existence of such a map, since the tensor product (by its defining UMP) turns a multilinear map:

$g:V_1 \times \cdots \times V_s \to Y$

into a LINEAR map:

$L: V_1 \otimes \cdots \otimes V_s \to Y$

(equivalently, we have $L$ is the unique linear map such that $L \circ \otimes = g$)

Note that we get a *different* $g$ for each element of $W_1 \times \cdots \times W_t$. Thus for each:

$\omega \in W_1 \times \cdot \times W_n$, we have the multilinear function $\omega \mapsto L_{\omega}$, which when we tensor the $W$'s, induces the linear function $\sigma$.

The proof *would* be done when we show $S,T$ inverses, but the existence of $S$ needs to be established, which is what the second half of the proof is doing. This existence is shown by invoking the UMP three separate times, for different vector spaces.
 

Related to Tensor Products - Issue with Cooperstein, Theorem 10.3

1. What is a tensor product and how is it related to Cooperstein's Theorem 10.3?

A tensor product is a mathematical operation that combines two vector spaces to create a new vector space. Cooperstein's Theorem 10.3 is a result in linear algebra that provides a necessary and sufficient condition for the uniqueness of the tensor product of two vector spaces.

2. What is the issue with Cooperstein's Theorem 10.3?

The issue with Cooperstein's Theorem 10.3 is that it is not always applicable to all vector spaces. In some cases, the theorem may fail to provide a unique tensor product, leading to incorrect results.

3. Can you provide an example of when Cooperstein's Theorem 10.3 fails?

Yes, for instance, if the vector spaces have infinite dimensions, the theorem may not hold. Another example is when the vector spaces are not over a field, but over a ring, which can also lead to the failure of the theorem.

4. Are there alternative theorems or methods that can be used instead of Cooperstein's Theorem 10.3?

Yes, there are alternative theorems and methods that can be used to determine the uniqueness of a tensor product. For example, there is the universal property of the tensor product, which provides a more general and reliable approach for determining the uniqueness.

5. How important is Cooperstein's Theorem 10.3 in the study of tensor products?

Cooperstein's Theorem 10.3 is an important result in the study of tensor products as it provides a necessary and sufficient condition for the uniqueness of the tensor product. However, it is crucial to understand its limitations and to consider alternative theorems and methods when applicable.

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