Undergrad (2,0) tensor is not a tensor product of two vectors?

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SUMMARY

A (2,0) tensor cannot be expressed as a tensor product of two vectors due to the inherent properties of tensor rank and linear combinations. Specifically, while all matrices can be represented as sums of (2,0) tensors, a single tensor product, such as ##\mathbf{a} \otimes \mathbf{b}##, results in a rank 1 matrix. The proof involves considering a finite-dimensional real vector space with dimension greater than 2 and demonstrating that certain (2,0) tensors, like ##T=e_1 \otimes e_2 - e_2 \otimes e_1##, cannot be represented as a product of vectors, leading to a contradiction. This distinction is crucial for understanding tensor algebra and its applications.

PREREQUISITES
  • Understanding of tensor notation, specifically (2,0) tensors
  • Familiarity with vector spaces and linear combinations
  • Knowledge of matrix representation and rank in linear algebra
  • Basic concepts of quantum mechanics, particularly the singlet state
NEXT STEPS
  • Study the properties of tensor rank and its implications in linear algebra
  • Explore the concept of tensor products in more depth, focusing on (2,0) tensors
  • Learn about orthonormal bases and their role in tensor representation
  • Investigate the relationship between tensors and quantum states, particularly in quantum mechanics
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Students and professionals in mathematics, physics, and engineering who are studying tensor algebra, particularly those interested in the applications of tensors in quantum mechanics and advanced linear algebra.

voila
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Hi. I'm trying to understand tensors and I've come across this problem:

"Show that, in general, a (2, 0) tensor can't be written as a tensor product of two vectors".

Well, prior to that sentence, I would have thought it could... Why not?
 
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let a (2,0) tensor be a product of two vectors. Take a coordinate system such that one of the vectors has the form (1,0,...0)
 
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A (2,0) tensor is a linear combination of such tensor products. You must show that not all sych linear combinations are tensor products of two vectors.
 
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May I state clearly that this is not a problem I must solve for class, this was just an example written somewhere which suggested we did it (thus why I didn't provide an attempt at solving it, just asking why it is that way). I still can't see why.
 
Oh, I think I'm getting it. Thinking about the matrix representation, that's just like stating that there are such matrices that can't be written as the tensor product of two vectors?
 
voila said:
Oh, I think I'm getting it. Thinking about the matrix representation, that's just like stating that there are such matrices that can't be written as the tensor product of two vectors?
Yes. You can write all matrices as a sum of (2,0) tensors, but a single tensor ##a \otimes b## will always result in a matrix of rank 1.
 
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The tensor notation such as ##(2,0)## only applies when the tensor is made up of a number of copies of a particular vector space and its dual vector space.
##\mathbf{a} \otimes \mathbf{b}## with ##\mathbf{a},\mathbf{b}\in V## is a ##(2,0)## tensor which has total rank 2. The main point here was all ##(2,0)## tensors cannot be expressed ##\mathbf{a} \otimes \mathbf{b}## .
 
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MisterX said:
##\mathbf{a} \otimes \mathbf{b}## with ##\mathbf{a},\mathbf{b}\in V## is a ##(2,0)## tensor which has total rank 2.
Just a remark.
Rank in this context is a bit of an ill-fated notation, since it has nothing to do with the rank of linear transformations which are also part of the context. Degree is (IMO) a far better word for it.
 
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Here is the sketch of a proof. Let ##V## be a finite dimensional real vector space with dimension greater than 2 (the statement is simply not true for ##\dim V=1##, since any real number ##a## can be written as ##a=1\cdot a##). Let ##(e_j)## be a orthonormal basis and ##T=e_1 \otimes e_2 - e_2 \otimes e_1##. Suppose ##T=a \otimes b##, for some ##a, b \in V##. By equating components, get a contradiction. So there exists ##(2,0)## tensors which cannot be written as the direct product of vectors.

Note: The counterexample above was inspired by the singlet state in Quantum Mechanics.
 
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Thank you all for your answers. I reckon it's a rather simple question, but I was just beginning to study tensors and couldn't get my mind around it.
 

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