Basis of a Tensor Product - Theorem 10.2 - Another Question .... ....

Your Name]In summary, the universal property of tensor products guarantees the existence of a multilinear map \gamma' \ : \ X \longrightarrow Z' for any multilinear map \gamma \ : \ X \times Y \longrightarrow Z. This is done by defining the linear map \gamma' on the basis elements of X \otimes X' and extending it to all elements in X \otimes X' using linearity. This ensures that the elements in X \otimes X' will end up in Z' under the mapping \gamma'.
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I am reading Bruce N. Coopersteins book: Advanced Linear Algebra (Second Edition) ... ...

I am focused on Section 10.1 Introduction to Tensor Products ... ...

I need help with another aspect of the proof of Theorem 10.2 regarding the basis of a tensor product ... ... Theorem 10.2 reads as follows:View attachment 5438

A diagram involving the mappings \(\displaystyle \iota\) and \(\displaystyle \gamma'\) is as follows:View attachment 5439My questions are as follows:Question 1

How do we know that there exists a multilinear map \(\displaystyle \gamma' \ : \ X \longrightarrow Z'\) ?
Question 2What happens (what are the 'mechanics') under the mapping \(\displaystyle \gamma'\) ... ... to the elements in
\(\displaystyle X\) \ \(\displaystyle X'\) ( that is \(\displaystyle X - X'\))? How can we be sure that these elements end up in \(\displaystyle Z'\) and not in
\(\displaystyle Z\) \ \(\displaystyle Z'\)? (see Figure 1 above)
Hope someone can help ...

Peter
 
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Dear Peter,

Thank you for your post and for sharing your questions on Theorem 10.2 in Bruce N. Cooperstein's book on Advanced Linear Algebra. The section on Tensor Products is indeed an important and complex topic in linear algebra, and I am happy to assist you in understanding the proof of Theorem 10.2.

To answer your first question, we know that there exists a multilinear map \gamma' \ : \ X \longrightarrow Z' because of the universal property of tensor products. The universal property states that for any multilinear map \gamma \ : \ X \times Y \longrightarrow Z, there exists a unique linear map \gamma' \ : \ X \otimes Y \longrightarrow Z' such that \gamma = \gamma' \circ \iota. In other words, for any multilinear map \gamma, there exists a unique linear map \gamma' that factors through the tensor product \iota and is thus a map from X \otimes Y to Z'.

As for your second question, the mechanics under the mapping \gamma' involve taking the elements in X \otimes X' and mapping them to elements in Z'. This is done by defining the linear map \gamma' on the basis elements of X \otimes X' and extending it to all elements in X \otimes X' using linearity. Since X \otimes X' is a basis for X \otimes X', the linear map \gamma' is uniquely determined by its values on the basis elements. Therefore, the elements in X \otimes X' will end up in Z' under the mapping \gamma'.

I hope this helps clarify the proof of Theorem 10.2 for you. If you have any further questions or need further clarification, please do not hesitate to ask.
 

Related to Basis of a Tensor Product - Theorem 10.2 - Another Question .... ....

What is the basis of a tensor product?

The basis of a tensor product is a set of basis vectors that can be used to construct any vector in the product space. These basis vectors are the outer product of the basis vectors from the two individual spaces that are being multiplied together.

What is Theorem 10.2 in relation to the basis of a tensor product?

Theorem 10.2 states that the basis of a tensor product of two vector spaces is the outer product of the basis vectors from the two individual spaces. In other words, the basis of the tensor product space can be obtained by taking the outer product of the basis vectors from the two individual spaces.

What is the significance of Theorem 10.2 in mathematics?

Theorem 10.2 is significant because it provides a simple and efficient way to construct the basis of a tensor product space. This can be especially useful in applications where the tensor product is frequently used, such as in quantum mechanics and electromagnetism.

How is Theorem 10.2 used in practical applications?

In practical applications, Theorem 10.2 is used to calculate the basis of a tensor product space, which is then used to construct vectors in the space. This can be used in various fields such as physics, engineering, and computer science.

Are there any limitations to Theorem 10.2?

While Theorem 10.2 provides a simple way to calculate the basis of a tensor product space, it is limited to only two vector spaces being multiplied together. It cannot be directly applied to tensor products of more than two spaces. Additionally, the basis vectors obtained using this theorem may not always be the most efficient or optimal choice for a particular application.

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