A question regarding tensor product of hilbert spaces

In summary, the conversation discusses the decomposition of the Hilbert space of a 3-dimensional particle using position and momentum vectors. The question is whether there is a way to write the Hilbert space using a tensorial product decomposition of these vectors. This is loosely analogous to the phase space concept in classical mechanics, which maps Hermitian operators in the Hilbert space to functions on phase space through the Wigner-Weyl formalism.
  • #1
azztech77
3
0
So I've been reading Cohen-Tannoudji's "Quantum mechanics vol 1" and have understood the part that proves that the hilbert space of a 3-dimensional particle can be described/decomposed as a tensor product of hilbert spaces using position vectors (or analogously momentum vectors) in the x, y and z directions. This is really cool and neat. My question is: I know that x and p basis vectors cannot be mixed to form a complete system of orthogonal vectors making up a basis (this follows from the fact that they are the eigenvectors of the non-commuting observables/hermitian operators X and P) for the hilbert space. However, and this is just a curiosity - is there some other loosely ANALOGOUS way to write the hilbert space as some sort of (perhaps elaborate) tensorial product decomposition of x and p basis vectors to fully describe all the states? I'm guessing that if this were possible than the tensors would be anti-symmetric since the standard canonical relations apply. Just a thought - anyone know of anything like this?
 
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  • #2
Not exactly what you're asking, but -- in classical mechanics we do often use phase space, in which the axes are labeled by both x's and p's. There's a formulation of quantum mechanics which maps Hermitian operators in the Hilbert space into certain functions on phase space. This is called the Wigner-Weyl formalism. A good discussion of it can be found here.
 

1. What is the tensor product of Hilbert spaces?

The tensor product of Hilbert spaces is a mathematical operation that combines two Hilbert spaces to create a new Hilbert space. It is denoted by ⊗ and is defined as the set of all possible linear combinations of the tensor products of vectors from each of the original Hilbert spaces.

2. How is the tensor product of Hilbert spaces calculated?

The tensor product of Hilbert spaces is calculated by taking the Cartesian product of the two original Hilbert spaces and then defining an inner product on this new space. This inner product is defined in terms of the inner products of the original Hilbert spaces and is usually denoted by ⊗. The resulting space is the tensor product of the two original Hilbert spaces.

3. What are some applications of the tensor product of Hilbert spaces?

The tensor product of Hilbert spaces has many applications in mathematics and physics. It is used in quantum mechanics to describe composite systems and in functional analysis to study operators on product spaces. It is also used in signal processing and machine learning for feature extraction and dimensionality reduction.

4. Can the tensor product of Hilbert spaces be extended to more than two spaces?

Yes, the tensor product of Hilbert spaces can be extended to any finite number of spaces. The resulting space is the direct sum of the individual tensor products of each space. For example, the tensor product of three Hilbert spaces A, B, and C would be written as A ⊗ B ⊗ C.

5. What are the similarities and differences between the tensor product of Hilbert spaces and the direct product of Hilbert spaces?

The tensor product and direct product of Hilbert spaces are similar in that they both involve combining two or more Hilbert spaces. However, the direct product is more restrictive as it only allows for the combination of finite number of spaces, while the tensor product can be extended to any finite number of spaces. Additionally, the direct product preserves the individual structures of the original spaces, while the tensor product creates a new space with a different structure.

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