Continuous resolution of identity in a discrete Hilbert-space

In summary, the discrete resolution of identity in a Hilbert space with either finite or countably infinite dimensionality yields a basis of vectors which is countably infinite. However, because the norm of the vector \lvert x\rangle is undefined, it is not in the Hilbert space. To properly talk about \lvert x\rangle and \lvert p\rangle as "basis vectors", one requires a "rigged Hilbert space".
  • #1
FredMadison
47
0
In a Hilbert-space whose dimensionality is either finite or countably infinite, we have the discrete resolution of identity

[tex]
\sum_n |n\rangle \langle n| = 1
[/tex]

In many cases, for example to obtain the wavefunctions of the discrete states, one employs the continuous form of the resolution of identity, namely

[tex]
\int dx |x\rangle \langle x| = 1
[/tex]

It doesn't seem quite valid to apply a continuous operator in a discrete Hilbert space. How can one justify it?
 
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  • #2
It's not really a Hilbert space, and ##\lvert x \rangle## is not really a vector in the Hilbert space (let alone a basis!). The norm of ##\lvert x\rangle## is undefined:

[tex]\int dx \, \langle x \mid x \rangle \equiv \int dx \, \Big( \delta(x) \Big)^2 = \infty[/tex]
So ##\lvert x \rangle## is not in ##L^2(\mathbb{R})##.

In order to talk about ##\lvert x \rangle## and ##\lvert p \rangle## as "basis vectors", you need a "rigged Hilbert space".

In any case, a proper basis, as you say, should be countably infinite.
 
  • #3
Ben Niehoff said:
[tex]\int dx \, \langle x \mid x \rangle \equiv \int dx \, \Big( \delta(x) \Big)^2 = \infty[/tex] So ##\lvert x \rangle## is not in ##L^2(\mathbb{R})##.

That's applying it naively.

In fact the Dirac delta function squared isn't even defined in the area of math its part of called distribution theory (but evidently that can be extended so it makes sense, but whether you can integrate it is another matter), but is sometimes used illegitimately for example in QFT.

Welcome to applied math :smile::smile::smile:

Seriously if you want to start to understand this stuff you first need to come to grips with distribution theory:
https://www.amazon.com/dp/0521558905/?tag=pfamazon01-20

The Rigged Hilbert spaces of QM are basically Hilbert spaces with distribution theory stitched on, adding rigging so to speak - hence the name Rigged.

But even aside from that knowledge of this area of math is of great value in many areas eg Fourier transforms are very elegant and is well worth the effort.

Thanks
Bill
 
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  • #4
Ben Niehoff said:
[tex]\int dx \, \langle x \mid x \rangle \equiv \int dx \, \Big( \delta(x) \Big)^2 = \infty[/tex]
So ##\lvert x \rangle## is not in ##L^2(\mathbb{R})##.

I believe there's an error in your argument here. [itex]\langle x \mid x \rangle[/itex] does not evaluate to [itex]\delta^2(x)[/itex] but to [itex]\delta(x-x)=\delta(0)[/itex], which is fundamentally undefined and certainly non-finite.

Cheers,

Jazz
 
  • #5
Jazzdude said:
I believe there's an error in your argument here. [itex]\langle x \mid x \rangle[/itex] does not evaluate to [itex]\delta^2(x)[/itex] but to [itex]\delta(x-x)=\delta(0)[/itex], which is fundamentally undefined and certainly non-finite.

Cheers,

Jazz

You're right.
 
  • #6
Ben Niehoff said:
You're right.

Yes he is, but don't feel bad - at a naive level so were you.

<x|x> = ∫<x|x'><x'|x>dx' = ∫δ(x-x')δ(x-x')dx then do a change of variable and, like I said naively, you get ∫δ(x)δ(x) dx.

It just goes to show why Von Neumann was so dead against Diracs approach, being the mathematician he was.

Thanks
Bill
 

Related to Continuous resolution of identity in a discrete Hilbert-space

1. What is continuous resolution of identity in a discrete Hilbert-space?

Continuous resolution of identity in a discrete Hilbert-space is a mathematical concept used in quantum mechanics. It refers to the ability to decompose a state vector in a discrete Hilbert space into a continuous set of basis states. This allows for the representation of a quantum state using a continuous distribution instead of a discrete set of numbers.

2. Why is continuous resolution of identity important in quantum mechanics?

Continuous resolution of identity is important because it allows for a more precise and accurate representation of quantum states. This is particularly useful in systems with a large number of particles, where a discrete representation may be impractical.

3. How is continuous resolution of identity different from discrete resolution of identity?

The main difference between continuous and discrete resolution of identity is the type of basis states used. In continuous resolution of identity, the basis states are continuous functions, while in discrete resolution of identity, they are discrete numbers. Additionally, continuous resolution of identity allows for a more detailed representation of quantum states.

4. What are some applications of continuous resolution of identity in quantum mechanics?

Continuous resolution of identity has various applications in quantum mechanics, such as in the study of molecular and atomic systems, quantum information processing, and quantum field theory. It also plays a crucial role in the development of quantum algorithms and simulations.

5. How is continuous resolution of identity related to the uncertainty principle?

The continuous resolution of identity is closely related to the uncertainty principle, which states that the more precisely we know the position of a particle, the less precisely we can know its momentum, and vice versa. This is because the basis states used in continuous resolution of identity are in the position or momentum representation, and the uncertainty principle is based on the properties of these representations.

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