Is ∣E,l,m⟩ Always a Tensor Product in Hilbert Space?

In summary, the state ∣E,l,m⟩ may or may not be the tensor product of ∣E⟩, ∣l⟩, and ∣m⟩, depending on their relationship. The Hilbert space for a given Hamiltonian is determined by the boundary conditions of the problem. Separable Hamiltonians can be split into two separate terms and solved independently, with the solution to the total Hamiltonian being the tensor product of the solutions.
  • #1
lackrange
20
0
I never thought about this stuff much before, but I am getting confused by a couple of things.
For example, would the state ∣E,l,m⟩ be the tensor product of ∣E⟩, ∣l⟩, ∣m⟩, ie. ∣E⟩∣l⟩∣m⟩? I always just looked at this as a way to keep track of operators that had simultaneous eigenfunctions in a Hilbert Space, but now I am confused by the lingo. If it is a tensor product, then is there a difference between their Hilbert spaces? Given a Hamiltonian, when can you split it up into two and solve them separately and then take the tensor product of the solutions to call it the solution to the total Hamiltonian?

Also, when given a Hamiltonian, how do you know what Hilbert space you are working in? I know wave functions are square integrable, but for instance in the infinite well problem, the eigenfunctions vanish outside the well, so when we say eigenfunctions of an observable are complete, with respect to which Hilbert space? (I know in the infinite well problem it is the space of functions that vanish outside the well, but how do you know in general what your eigenfunctions span?)
 
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  • #2
The state ∣E,l,m⟩ is not necessarily the tensor product of ∣E⟩, ∣l⟩, and ∣m⟩. It depends on how they are related. In some cases, these states may be related by an operator, in which case the state would take the form of an operator acting on the product of the three states, rather than the product itself. When given a Hamiltonian, the Hilbert space you are working in is determined by the boundary conditions of the problem. For example, for the infinite well, the Hilbert space is the space of functions that vanish outside the well. Similarly, for a particle in a box, the Hilbert space is the space of functions that vanish at the walls of the box. In general, you can determine the Hilbert space by looking at the boundary conditions of the problem.As for when you can split up a Hamiltonian into two and solve them separately, this is typically done with separable Hamiltonians. This means that the Hamiltonian can be written as the sum of two separate terms that do not depend on each other, such that it can be solved independently for each term. Once the separate solutions have been found, you can take the tensor product of the solutions to get the solution to the total Hamiltonian.
 

Related to Is ∣E,l,m⟩ Always a Tensor Product in Hilbert Space?

1. What is a Hilbert Space?

A Hilbert Space is a mathematical concept that describes an infinite-dimensional vector space with a defined inner product. It is often used in functional analysis and quantum mechanics to study the properties of functions and operators.

2. How does a tensor product relate to Hilbert Space?

A tensor product is a mathematical operation that combines two vector spaces to create a new vector space. In the context of Hilbert Space, tensor products are used to describe composite systems, such as multiple quantum particles or multiple functions, by combining the individual Hilbert Spaces.

3. What are the properties of a Hilbert Space?

Some key properties of a Hilbert Space include completeness (meaning that every Cauchy sequence converges to a point in the space), separability (meaning that the space contains a countable dense subset), and the existence of an inner product that satisfies certain conditions, such as symmetry and positivity.

4. How is a Hilbert Space different from other vector spaces?

Unlike finite-dimensional vector spaces, which have a finite number of basis vectors, Hilbert Spaces have an infinite number of basis vectors. Additionally, Hilbert Spaces have a defined inner product, whereas other vector spaces may not. This allows for the application of tools such as orthogonality and projection.

5. What are some real-world applications of Hilbert Space and Tensor Products?

Hilbert Spaces and Tensor Products have a wide range of applications in various fields, including physics, engineering, and computer science. They are used to model quantum systems, analyze signals and data, and solve optimization problems, among others.

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