Completeness of eigenvectors in a complete, commuting set

In summary, the conversation revolves around the concept of "completeness" of eigenvectors in a complete, commuting set. It is debated whether or not a particular vector, |c,d>, should exist in the vector space. The conversation also touches on the use of n-fold integrals in writing the representation of an inner product and whether or not they are well-defined in cases where some eigenvectors may be missing. Ultimately, the conversation is seeking to understand the implications of this for Dirac's generalization argument and the concept of mathematics of ket spaces.
  • #1
Lakshya
72
0
"Completeness" of eigenvectors in a complete, commuting set

Hi guys, I asked this question on Physics Stack Exchange many days ago and even after substantial discussions and revisions, this has remain unanswered. This is:
http://physics.stackexchange.com/qu...igenvectors-in-a-complete-commuting-set/18272

It seems quite fundamental that I want to know what's actually going on. Is Dirac's generalization argument incomplete? Or is there a problem in my concepts of mathematics of ket spaces?

The discussion on this can go on in this thread as it is usually discouraged on Stack Exchange.

Hope to find substantial insight into it here.
 
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  • #2


As you were answered, there isn't a |c,d> in the vector space you describe in the first part of your post.

For your second question, I don't know the argument you're referring to, so I can't help. But I suspect at least one of these two comments would be relevant:

  • The operators he's considering don't have the analog of repeated eigenvalues. (e.g. a continuous spectrum)
  • Each variable of integration independently parametrizes the entire spectrum
 
  • #3


Hurkyl said:
As you were answered, there isn't a |c,d> in the vector space you describe in the first part of your post.

For your second question, I don't know the argument you're referring to, so I can't help. But I suspect at least one of these two comments would be relevant:

  • The operators he's considering don't have the analog of repeated eigenvalues. (e.g. a continuous spectrum)
  • Each variable of integration independently parametrizes the entire spectrum

If you go through the entire spectrum of comments, we settled on the issue that there is no good reason for |c,d> to occur. Why can't it be missing? All these developments are clearly indicated in the edited question which I posted above solid line.

There is no second question. I don't know where you found it. The question was edited after all the discussion related to first answer and that was then posted above solid line and original question is below solid line. I have mentioned it all in my question. Please read it.
 
  • #4


Hello,

Maybe a small example will show that |c,d> doesn't have to exist, as claimed by Hurkyl. Define

[itex] A = \left( \begin{array}{ccc}
a & 0 & 0 \\
0 & a & 0 \\
0 & 0 & c
\end{array} \right) [/itex] and [itex] B = \left( \begin{array}{ccc}
b & 0 & 0 \\
0 & d & 0 \\
0 & 0 & b
\end{array} \right) [/itex]

It is then clear that [itex]|a,b \rangle = \left( \begin{array}{} 1 \\ 0 \\ 0 \end{array} \right)[/itex], [itex]|a,d \rangle = \left( \begin{array}{} 0 \\ 1 \\ 0 \end{array} \right)[/itex] and [itex]|c,b \rangle = \left( \begin{array}{} 0 \\ 0 \\ 1 \end{array} \right)[/itex].

Also note that no vector corresponds to [itex]|c,d \rangle [/itex].

As for your continuation
If the above construction holds and [itex]|c,d \rangle[/itex] can be missing then I would like to ask as to why do we take n-fold integrals while writing the representation of an inner product of a ket and a bra when the set of eigenvectors forming complete, commuting set has continuous eigenvalues? The argument against it being that as some eigenvectors can be missing, the limits of each integral are dependent on other integrals and hence the notion of n-fold integrals breaks down. Another possibility is that we consider those missing eigenvectors as 0 vectors with the breaking of integral at discontinuity points being understood. Is it so or is it the former way if the above construction is correct and valid?
I can't help, as I'm not yet familiar with what you're describing. (I think that Hurkyl referred to this as your "second question".)
 
  • #5


Exactly that's what I am trying to point out there. That there need not be a |c,d>. So, if |c,d> need not occur. Now consider this:
There is a complete, commuting set of 'r' observables all of which have only continuous eigenvalues and no discrete eigenvalues. Now, it can happen that an eigenvector of the form [itex] |\xi_{1},\xi_{2}...\xi_{r}\rangle [/itex] may be "missing" where the different [itex] \xi_{1},\xi_{2}...\xi_{r} [/itex] are the corresponding eigenvalues of the 'r' observables (these eigenvalues are well-defined in the sense that each lies in corresponding observable's domain). In such a case you can't consider an r-fold integral of a function of these 'r' eigenvalues with the integrals being respect to different eigenvalues. I claim the previous statement as the limits of integration are not quite independent because for some value [itex] \xi_{i} [/itex] of 'i'th eigenvalue the limits to which other eigenvalues can be integrated become a function of this 'i'th eigenvalue as noted in the |c,d> example above. Although the example is of discrete case, it well conveys the idea of what I am trying to say.

But, Dirac has used this integral in his book and I suspect that this integral is not well-defined by the argument in the previous paragraph. On the other hand, it's hard for me to believe that Dirac would err on this trivial looking thing and it would go unnoticed till date. Hence, I am looking for an argument to make this integral well-defined if I have not made any mistakes in the argument above. If I have made a mistake, please point it out. Thanks. :)

mr. vodka said:
Hello,

Maybe a small example will show that |c,d> doesn't have to exist, as claimed by Hurkyl. Define

[itex] A = \left( \begin{array}{ccc}
a & 0 & 0 \\
0 & a & 0 \\
0 & 0 & c
\end{array} \right) [/itex] and [itex] B = \left( \begin{array}{ccc}
b & 0 & 0 \\
0 & d & 0 \\
0 & 0 & b
\end{array} \right) [/itex]

It is then clear that [itex]|a,b \rangle = \left( \begin{array}{} 1 \\ 0 \\ 0 \end{array} \right)[/itex], [itex]|a,d \rangle = \left( \begin{array}{} 0 \\ 1 \\ 0 \end{array} \right)[/itex] and [itex]|c,b \rangle = \left( \begin{array}{} 0 \\ 0 \\ 1 \end{array} \right)[/itex].

Also note that no vector corresponds to [itex]|c,d \rangle [/itex].

As for your continuation

I can't help, as I'm not yet familiar with what you're describing. (I think that Hurkyl referred to this as your "second question".)
 
  • #6


I don't really understand what the starting point is here. Having found that there's no [itex]|c,d\rangle[/itex] in a 3D space, we can simply go to a 4D space, e.g.,
[tex]
A = \left( \begin{array}{cccc}
a & 0 & 0 & 0 \\
0 & a & 0 & 0 \\
0 & 0 & c & 0 \\
0 & 0 & 0 & c
\end{array} \right) ~~~~\mbox{and}~~~
B = \left( \begin{array}{ccc}
b & 0 & 0 & 0 \\
0 & d & 0 & 0 \\
0 & 0 & b & 0 \\
0 & 0 & 0 & d
\end{array} \right)
[/tex]
Then
[tex]
\def\<{\langle}
\def\>{\rangle}
|a,b \> = \left( \begin{array}{} 1 \\ 0 \\ 0 \\ 0 \end{array} \right) ~,~~~~
|a,d \> = \left( \begin{array}{} 0 \\ 1 \\ 0 \\ 0 \end{array} \right) ~,~~~~
|c,b \> = \left( \begin{array}{} 0 \\ 0 \\ 1 \\ 0 \end{array} \right) ~,~~~~
|c,d \> = \left( \begin{array}{} 0 \\ 0 \\ 0 \\ 1 \end{array} \right)
[/tex]
(or did I miss something?)
 
  • #7


@strangerep: Indeed you're missing the point. Lakshya wants a case where |c,d> doesn't exist. Why? To ask if Dirac's integral (as described by Lakshya; I'm unfamiliar with it myself) is still well-defined in such a case.
 
  • #8


The scenario he has in mind is: we have an observable A with eigenvalues a and c. We have another observable B with eigenvalues b and d. A and B are commuting observables. Normally you'd say that the eigenstates of the system would be {[itex]|ab\rangle, |ad\rangle, |cb\rangle, |cd\rangle[/itex]}. i.e. the state space is 4 dimensional. BUT, he has a constraint - when the eigenvalue of A is c, then the eigenvalue of B MUST be b, it is not allowed to be d. In this way he has reduced the dimensionality of the state space from 4 to 3.

My question would be - is this allowed ? Mathematically, it's OK as mr Vodka has explicitly shown. His A and B are commuting and the state space is still only 3 dimensional.

But from the point of view of physics rather than mathematics - according to the postulates of quantum mechanics, if A and B are commuting operators, doesn't it mean that we MUST be able to prepare the system with all allowed eigenvalues of each operator? So if I prepare it with the value c for A, I can take the resulting state and prepare it with the value d for B without screwing up the c eigenvalue (because A and B commute).
 
  • #9


mr. vodka said:
@strangerep: Indeed you're missing the point. Lakshya wants a case where |c,d> doesn't exist. Why? To ask if Dirac's integral (as described by Lakshya; I'm unfamiliar with it myself) is still well-defined in such a case.

sheaf said:
the state space is 4 dimensional. BUT, he has a constraint - when the eigenvalue of A is c, then the eigenvalue of B MUST be b, it is not allowed to be d. In this way he has reduced the dimensionality of the state space from 4 to 3.

Er,... guys,... none of the above has anything to do with what's happening on Dirac p65 -- which was the central point of the original question over on TPSE.

For those who don't have Dirac's textbook at hand, he's simply constructing a tensor product space from the individual Hilbert spaces, each spanned by the eigenvectors of one observable. This is standard QM, though perhaps presented in Dirac's sometimes-unorthodox style.

Phrased in different words...

Suppose we have 2 observable physical quantities A & B and we determine their spectrum by experimental measurements. For argument's sake, let's say we always find that, over a large range of prepared system states, measuring A yields either a or c, while measuring B yields either b or d, and that we also find that it makes no difference whether we measure A then B or B then A. Hence we conclude that A & B are independent observables.

To construct a QM description of this system, the standard procedure is to take one Hilbert space corresponding to span{A's eigenvectors} and another corresponding to span{B's eigenvectors}, and form the tensor product Hilbert space. This construction ensures that [itex]A\otimes 1[/itex] and [itex]1\otimes B[/itex] commute as operators on the tensor product space -- faithfully reproducing the physical property that these quantities are physically independent. This tensor product space is isomorphic to the 4D space I mentioned in my previous post.

Dirac p65 simply extends this construction to the case of several independent quantities whose spectra are all continuous.

Afaict, all the confusion about "missing eigenvalues" was just confusion about how tensor product spaces work in QM, and how they correspond to physical cases. There ain't no "missing eigenvalues/eigenvectors" in the construction.
 
Last edited:
  • #10


strangerep said:
Suppose we have 2 observable physical quantities A & B and we determine their spectrum by experimental measurements. For argument's sake, let's say we always find that, over a large range of prepared system states, measuring A yields either a or c, while measuring B yields either b or d, and that we also find that it makes no difference whether we measure A then B or B then A. Hence we conclude that A & B are independent observables.

To construct a QM description of this system, the standard procedure is to take one Hilbert space corresponding to span{A's eigenvectors} and another corresponding to span{B's eigenvectors}, and form the tensor product Hilbert space. This construction ensures that [itex]A\otimes 1[/itex] and [itex]1\otimes B[/itex] commute as operators on the tensor product space -- faithfully reproducing the physical property that these quantities are physically independent. This tensor product space is isomorphic to the 4D space I mentioned in my previous post.

If that's the case, then yes I agree there isn't an issue. My knowledge of quantum mechanics is VERY rusty, but I remember that when you want to construct the Hilbert space which represents a combined system consisting of two subsystems, then you take the tensor product of the two subsystem Hilbert spaces as you describe. But here we're looking at constructing the Hilbert space of a single system, and labelling its basis vectors with eigenvalues of a complete set of commuting operators. Is it true in this case that the Hilbert space must be the tensor product of the Hilbert spaces corresponding to each of the operators in the set, i.e. there cannot be constraints as Lakshya is descibing ?

It certainly sounds reasonable, but I had a quick google around and couldn't find this in any of the descriptions of the postulates of quantum mechanics. Do you have a reference where it is stated in this way ?
 
  • #11


sheaf said:
[...] but I remember that when you want to construct the Hilbert space which represents a combined system consisting of two subsystems, then you take the tensor product of the two subsystem Hilbert spaces as you describe. But here we're looking at constructing the Hilbert space of a single system, and labelling its basis vectors with eigenvalues of a complete set of commuting operators.
I, too, had to think about this a bit when I read Dirac's stuff.

Consider what characterizes a single instance of a (class of) system. The algebra of observables, right? One then demands that the algebra be represented unitarily and eventually we derive the spectra of the observables -- or spectra in certain combinations of observables (such as [itex]J^2[/itex] and [itex]J_z[/itex] in the standard quantum theory of angular momentum).

Dirac simply decomposes this idea down to its basics: figure out the joint spectra for the observables in a maximal set of commuting quantities in the (enveloping) algebra. (This set corresponds to a maximal set of mutually-independent dynamical variables.) Then deduce the size of the necessary Hilbert space from the details of the joint spectra. He does this by tensoring the spaces of the eigenvectors for each observable in the maximal commuting set. Finally we must check that the entire algebra is indeed representable on this space.

I think this is really cool -- one builds up a model of a single instance of a (class of) system by tensoring some basic 1D spaces together, then we extend this idea to multiple copies of the system by tensoring again -- like you said.

Is it true in this case that the Hilbert space must be the tensor product of the Hilbert spaces corresponding to each of the operators in the set, i.e. there cannot be constraints as Lakshya is descibing ?
I believe so, or else it's not QM, or else it's the wrong Lie algebra for the system being studied.

If I'm wrong, I hope someone will give a physically realistic counterexample.

It certainly sounds reasonable, but I had a quick google around and couldn't find this in any of the descriptions of the postulates of quantum mechanics. Do you have a reference where it is stated in this way ?
I haven't seen it done this way anywhere else except in Dirac's book -- so the latter is the only reference I know. The group-theoretic approach in (say) Ballentine's textbook is kinda related, but he starts from the entire Galilean algebra so it's not quite the same -- although it ends up in the same place.
 

Related to Completeness of eigenvectors in a complete, commuting set

What is the definition of completeness in the context of eigenvectors in a complete, commuting set?

In mathematics, completeness refers to the property of a set of objects being able to represent all possible objects in a given space. In the context of eigenvectors in a complete, commuting set, completeness means that the eigenvectors form a basis for the vector space, and any vector in the space can be expressed as a linear combination of these eigenvectors.

What does it mean for a set of eigenvectors to be complete?

If a set of eigenvectors is complete, it means that the set contains enough vectors to span the entire vector space. In other words, any vector in the space can be written as a linear combination of these eigenvectors.

What is the significance of having a complete, commuting set of eigenvectors?

A complete, commuting set of eigenvectors is significant because it allows for easy diagonalization of a matrix. This means that the matrix can be expressed as a diagonal matrix, which is much simpler to work with mathematically. Additionally, the eigenvectors in a commuting set have special properties that make them useful for solving certain problems in physics and engineering.

What does it mean for a set of eigenvectors to be commuting?

Eigenvectors are said to be commuting if they all correspond to the same operator and can be simultaneously diagonalized. In other words, the eigenvectors commute with each other, meaning that the order in which they are applied does not affect the final result. This is a desirable property because it allows for easier manipulation and calculation with these eigenvectors.

How can one determine if a set of eigenvectors is both complete and commuting?

A set of eigenvectors can be determined to be complete if it spans the entire vector space and any vector in the space can be written as a linear combination of these eigenvectors. To determine if the eigenvectors are commuting, one can check if they correspond to the same operator and can be simultaneously diagonalized. Additionally, one can check if the eigenvectors commute with each other, meaning that the order in which they are applied does not affect the final result.

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