What is the Standard Definition of a Tensor Product of Two Vectors?

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Discussion Overview

The discussion revolves around the definition of the tensor product of two vectors, exploring various interpretations and definitions found in different sources. Participants examine the implications of these definitions in the context of mathematics and physics, including the relationship between tensors and their representations in higher-dimensional spaces or matrices.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants note conflicting definitions of the tensor product, with one source suggesting it results in a column vector in a higher-dimensional space, while another defines it as a matrix.
  • One participant introduces the concept of dualization, proposing that the product of a k-tensor and an n-tensor results in a (k+n)-tensor, assuming vectors are treated as 0-tensors.
  • Another participant emphasizes the distinction between the tensor product and direct product, arguing that the tensor product of two first-order tensors is a second-order tensor, which can be represented by a matrix in a given coordinate system.
  • A later reply suggests that if there is a natural isomorphism between a vector space and its dual, vectors can be viewed as linear maps, leading to a specific definition of the tensor product.

Areas of Agreement / Disagreement

Participants express disagreement regarding the definitions of the tensor product, with no consensus reached on which definition is correct. Different interpretations and clarifications are presented, but conflicting views remain unresolved.

Contextual Notes

Participants highlight the need for careful distinction between concepts such as tensor products and direct products, as well as the representation of tensors in various coordinate systems. Some assumptions about the nature of vectors and tensors are not explicitly stated, leading to potential misunderstandings.

Bashyboy
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I am have been searching for the of a tensor product of two vectors, but found seemingly conflicting definitions. For example, one source definition was, roughly, that the tensor product of two vectors was another column vector in a higher dimensional space, and another defined the tensor product of two vectors as resulting in a matrix.

So, which of the two is correct?
 
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Maybe the issue is one of dualization, but the product of a k-tensor T and an n-tensor S is the (k+n)-tensor given by ##T\otimes S:= T(x_1,..,x_k) \otimes S(x_{k+1},..,x_{k+n})## EDIT: Here I assume vectors are treated as 0-tensors.
 
Last edited:
Bashyboy said:
I am have been searching for the of a tensor product of two vectors, but found seemingly conflicting definitions. For example, one source definition was, roughly, that the tensor product of two vectors was another column vector in a higher dimensional space, and another defined the tensor product of two vectors as resulting in a matrix.

So, which of the two is correct?

You will need to show those sources.
 
Bashyboy said:
I am have been searching for the of a tensor product of two vectors, but found seemingly conflicting definitions. For example, one source definition was, roughly, that the tensor product of two vectors was another column vector in a higher dimensional space,
I have never heard of this. What was the source? Perhaps you are confusing a tensor product with a direct product.

and another defined the tensor product of two vectors as resulting in a matrix.
I doubt you read this correctly. The tensor product of two vectors (i.e. two first order tensors) is a second order tensor tensor which in a given coordinate system can be represented by a matrix. You should be careful to distinguish between those two concepts. Physically, velocity is a vector. But a velocity vector with speed v can be represented by the array (v, 0, 0) in one coordinate system, (0, v, 0) in another, and generally (a, b, c) with a^2+ b^2+ c^2= v^2. A tensor can be represented as an array of numbers in a specific coordinate system.

So, which of the two is correct?
Strictly speaking, neither is correct! But the second is a little closer.
 
Maybe if you had a natural isomorphism ##V \rightarrow V^{*} ## (e.g., having an associated non-degenerate form ), you can see your vectors naturally/canonically as linear maps and then you get the standard definition ## v\otimes w \approx. (T\otimes S)(x,y):=T(x)S(y)##.
 

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