Can the tensor product be visualized as a machine for processing vectors?

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SUMMARY

The discussion centers on visualizing the tensor product of vectors, specifically how it can be perceived as a machine for processing vectors. The participant, Chet, emphasizes the importance of understanding tensor actions through lower-dimensional spaces to build intuition. He illustrates the tensor product using the equation (\vec{L}\otimes \vec{R})\centerdot\vec{V}=\vec{L}(\vec{R}\centerdot\vec{V}), demonstrating how it transforms vectors into new directions and magnitudes. Chet's engineering background informs his practical approach to applying tensor products, particularly in the context of the engineering stress tensor.

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  • Familiarity with vector spaces and their properties
  • Basic knowledge of engineering stress tensors
  • Concept of dot products in vector mathematics
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  • Study the application of tensor products in engineering stress analysis
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Engineers, physicists, mathematicians, and students seeking to deepen their understanding of tensor products and their applications in various fields, particularly in engineering contexts.

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"Seeing" Tensor Products

Is there a way to "visualize" the tensor product of two (or ##n##) vectors/tensors/algebras/etc.?

I'm having a lot of trouble making the tensor product feel intuitive. I know its properties, and I can usually apply it without too much of a problem, but it does not feel "easy." Any ideas?
 
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For tensor actions in general, I always started by thinking about the properties in lower dimensional spaces, where they can make more physical sense or can be mapped out/drawn explicitly on paper. It tends to bolster your intuition for what happens with higher rank objects.

Then, you can just think of a general action as something that you can already visualize, but in a projected sense (ie, you are imagining only a part of the true behavior, as more exists "behind the scenes," but it is enough to know what's going on).
 
I'm probably coming at this from a different perspective from you, but maybe this can help. My background is in engineering. I like to visualize that tensor product as a machine for processing vectors. You feed a vector to the machine, and the tensor product maps the vector into a new vector. If \vec{L}\otimes \vec{R} is the vector product of the vectors \vec{L} and \vec{R}, then if I dot the vector product on the right by a vector \vec{V}, I get:

(\vec{L}\otimes \vec{R})\centerdot\vec{V}=\vec{L}(\vec{R}\centerdot\vec{V})
This is a vector in the direction of \vec{L}, with a magnitude equal to the magnitude of \vec{L} times (\vec{R}\centerdot\vec{V}). If I dot the vector product on the left by a vector \vec{V}, I get an analogous result.

As a physicist or mathematician, I don't know if this makes any sense to you. But to me as an engineer it makes perfect sense, and I have used it many time in practice when working with the engineering stress tensor to map a unit normal vector to a surface into the traction vector.

Chet
 

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