Do bras and inner products relate in a Rigged Hilbert Space?

In summary: F(a) \, \<F'|F\>##.The two inner products above are related by the following bilinear form:$$\begin{align}& \left(\frac{d}{d'}\right)\left(\frac{d}{d}\right) &=& \left(\frac{d}{da}\right)\left(\frac{d}{db}\right)\\&=& -\left(\frac{d}{da}\right)\left(\frac{d}{db}\right)\\&=& \left(\frac{d}{da}\right
  • #1
lugita15
1,554
15
One of the most important results of functional analysis is that for every bounded linear functional f: H → ℂ on a Hilbert space H, there exists a fixed |v> in H such that f(|u>) is equal to the inner product of |v> with |u> for all |u> in H. This justifies the labeling of f as <v| in the bra-ket notation used in quantum mechanics.

I want to know the relationship of bra's to inner products carries over to Rigged Hilbert Space. To construct the Rigged Hilbert Space, we start with a Hilbert space H and pick out a nuclear subspace [itex]\Phi[/itex], a dense subspace of H on which certain unbounded linear operators on H are defined. The space [itex]\Phi^{\times}[/itex] of continuous anti-linear functionals will be our ket space, and the space [itex]\Phi'[/itex] of continuous linear functionals will be our bra space. We can then define a distribution-valued inner product on [itex]\Phi^{\times}[/itex]. Also, we can define a conjugate map between [itex]\Phi'[/itex] and [itex]\Phi^{\times}[/itex], so that for every |ψ> in the ket space there corresponds a bra <ψ| and vice versa.

Now my question is, can the action of an arbitrary bra <ψ| on the ket space be equated with the action of the distribution-valued inner product with |ψ>?

Any help would be greatly appreciated.

Thank You in Advance.
 
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  • #2
It would be helpful if you could provide a reference to a book or a paper where your terms are being used. The term "distribution-valued inner product" is not clear from your short description. Are you thinking about a general theory or about some particular example?
 
  • #3
lugita15 said:
Now my question is, can the action of an arbitrary bra <ψ| on the ket space be equated with the action of the distribution-valued inner product with |ψ>?

You will need to clarify this. First of all, how does the bra <ψ| act on the ket-space exactly?
And how do you define your distribution-valued inner product?
 
  • #4
A Hilbert space is reflexive and for topological duals for subsets of it you can reach back to 'vectors' by taking a second dual.
 
  • #5
lugita15 said:
I want to know the relationship of bra's to inner products carries over to Rigged Hilbert Space. To construct the Rigged Hilbert Space, we start with a Hilbert space H and pick out a nuclear subspace [itex]\Phi[/itex], a dense subspace of H on which certain unbounded linear operators on H are defined. The space [itex]\Phi^{\times}[/itex] of continuous anti-linear functionals will be our ket space, and the space [itex]\Phi'[/itex] of continuous linear functionals will be our bra space. We can then define a distribution-valued inner product on [itex]\Phi^{\times}[/itex].
I believe that last sentence is not correct. Although I myself have used the term "distribution-valued inner product" in the past, this can be misleading, so (in the spirit of the PF values) I must try to clarify (and correct) my earlier usage.
Further corrections/elaborations welcome! :wink:

##\def\<{\langle} \def\>{\rangle}##Reviewing the nuclear spectral theorem, a symmetric linear operator ##A## defined everywhere on the space ##\Phi## and admitting a self-adjoint extension to the Hilbert space ##H##, can be extended by duality to ##\Phi^\times##, is continuous on ##\Phi^\times## (in the operator topology in ##\Phi^\times##) and its extension (still denoted ##A## by a slight abuse of terminology) possesses a complete system of generalized eigenvalues ##a## and associated eigenfunctionals ##|a\>## belonging to the dual space ##\Phi^\times##. By "complete", we mean that any element of the small space ##\Phi## can be decomposed in terms of the ##|a\>##.

Moreover, (by duality), any operator on ##\Phi^\times## can be decomposed in terms of the ##|a\>##. In particular, the identity operator can be thus decomposed, leading to the expression:
$$I ~=~ \int da\, |a\>\<a|$$
Let ##|\phi\> \in \Phi##, with spectral decomposition
$$|\phi\> ~=~ \int da\, \phi(a) \, |a\> ~.$$
Here, ##\phi## must typically be a Schwartz function (for the case of canonical position/momentum operators in QM). Acting on ##|\phi\>## with the identity operator above, we have
$$|\phi\> ~=~ \int da\, |a\>\<a| \; \int da'\, \phi(a') \, |a'\>
~=~ \iint da\, da'\, \phi(a') \, |a\>\<a| \,|a'\>
$$
This must hold for arbitrary ##\phi\in\Phi##, hence we conclude
$$\<a|a'\> ~=~ \delta(a-a') ~.$$
So far, so good. But suppose we now try to extend such spectral decomposition of vectors to any (arbitrary) element of ##\Phi^\times\setminus H## similarly. One might write down a (formal!) expression like this:
$$|F\> ~=~ \int da\, F(a) \, |a\> ~,$$
where ##|F\>\in\Phi^\times\setminus H## but the quantity ##F(a)## is merely an undefined formal expression at this point. Enquiring what type of quantity ##F## could be, we act with ##|F\>## on an arbitrary element ##\phi\in\Phi##, as follows:
$$
\<\phi|F\> ~=~ \iint da\,da'\, \bar\phi(a) \, F(a) \, \<a|a'\>
~=~ \int da\, \bar\phi(a) \, F(a) ~.
$$
This could make sense if (##\phi## being a Schwartz function), we insist that ##F## be a tempered distribution.

But what if we now try to make sense of an "inner product" of the form ##\<F'|F\>##?
Repeating the above formal manipulation, we'd get
$$\<F'|F\> ~=~\int da\, \bar F'(a) \, F(a) ~,$$and (afaict) this does not make sense in general, since we're essentially trying to perform pointwise multiplication of distributions.

Summary: although a "distribution-valued inner product" can be defined between certain non-normalizable vectors (i.e., our basis of eigenfunctionals), as ##\<a'|a\> = \delta(a-a')##, this does not extend sensibly to arbitrary elements of the large space ##\Phi^\times##, and one must always be careful to interpret all such formal expressions only in terms of their action on the small space ##\Phi##.
 
Last edited:
  • #6
Getting to grips with RHS's is far from trivial and will require a good deal of effort - I know I have spent more time mucking around with it than I care too admit.

My suggestion is start out simple with the overview treatment in Ballentine, then get a good background in analysis. I like the following (although I have a number of textbooks dating back from my undergrad days)
https://www.math.ucdavis.edu/~hunter/book/pdfbook.html

Then read the following PhD Thesis which really is the best account of it and its relation to QM I have come across:
http://physics.lamar.edu/rafa/dissertation.htm

Then you can come to grips with the key theorem on generalized eigenfunctions that makes this all worthwhile - see attached document.

Have fun.

Thanks
Bill
 

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  • Quantum Generalized Eigenfunctions.pdf
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  • #9
strangerep said:
Although I myself have used the term "distribution-valued inner product" in the past, this can be misleading, so (in the spirit of the PF values) I must try to clarify (and correct) my earlier usage.
Thanks strangerep, this was a really helpful post.
But what if we now try to make sense of an "inner product" of the form ##\<F'|F\>##?
Repeating the above formal manipulation, we'd get
$$\<F'|F\> ~=~\int da\, \bar F'(a) \, F(a) ~,$$and (afaict) this does not make sense in general, since we're essentially trying to perform pointwise multiplication of distributions.
Does that mean that the standard use of bra-ket in quantum mechanics, where we freely take inner products of any kets we please, is illegitimate? There are various theories of multiplication of distributions, like the Colombeau algebra for instance. Can any of those be used to legitimize how bra-ket is used?
Summary: although a "distribution-valued inner product" can be defined between certain non-normalizable vectors (i.e., our basis of eigenfunctionals), as ##\<a'|a\> = \delta(a-a')##, this does not extend sensibly to arbitrary elements of the large space ##\Phi^\times##
Instead of treating the inner product as a function on [itex]\Phi^\times \times \Phi^\times[/itex], could we consider it to be a (two-dimensional) distribution? δ(x-y) is undefined if x=y, but that doesn't stop us from defining the distribution δ(x-y). Could we do something similar with this inner product?
 
  • #10
lugita15 said:
strangerep said:
But what if we now try to make sense of an "inner product" of the form
##\def\<{\langle} \def\>{\rangle} \<F'|F\>##?
Repeating the above formal manipulation, we'd get
$$\<F'|F\> ~=~\int da\, \bar F'(a) \, F(a) ~,$$and (afaict) this does not make sense in general, since we're essentially trying to perform pointwise multiplication of distributions.
Does that mean that the standard use of bra-ket in quantum mechanics, where we freely take inner products of any kets we please, is illegitimate?
Well, strictly speaking, we don't freely take inner products of any kets we please. Consider ##\<a|a\>## which is ill-defined...

There are various theories of multiplication of distributions, like the Colombeau algebra for instance. Can any of those be used to legitimize how bra-ket is used?
I looked at Colombeau algebras some time ago, but I don't know enough about them to offer an opinion. I once asked Arnold Neumaier about Colombeau algebras (since its proponents propagated a fair bit of hype). He said (iirc) that they're basically equivalent to Young measures and he ended up disappointed and disinclined to spend any more time on that stuff.

Jenny Harrison also claimed to have developed a generalized framework for this stuff, but her papers are over my head.

strangerep said:
Summary: although a "distribution-valued inner product" can be defined between certain non-normalizable vectors (i.e., our basis of eigenfunctionals), as ##\<a'|a\> = \delta(a-a')##, this does not extend sensibly to arbitrary elements of the large space ##\Phi^\times##
Instead of treating the inner product as a function on [itex]\Phi^\times \times \Phi^\times[/itex], could we consider it to be a (two-dimensional) distribution? δ(x-y) is undefined if x=y, but that doesn't stop us from defining the distribution δ(x-y). Could we do something similar with this inner product?
Hmmm. You've got to be more careful than that if you want to define the delta distribution rigorously. And whatever you come up with would have to be compatible with the ordinary 1D distribution ##\<a'|a\> = \delta(a-a')##. Off the top of my head I have no idea how one might do that.
 

1. Do bras and inner products have any relation in a Rigged Hilbert Space?

Yes, bras and inner products are closely related in a Rigged Hilbert Space. In fact, the concept of a rigged Hilbert space was developed specifically to generalize the theory of bras and kets in standard Hilbert spaces.

2. What is a rigged Hilbert space?

A rigged Hilbert space, also known as a Gelfand triple, is a mathematical concept that extends the traditional Hilbert space by adding a third space, called the "test space". This allows for a more general and powerful framework for working with operators and functions in quantum mechanics.

3. How are bras and inner products defined in a rigged Hilbert space?

In a rigged Hilbert space, bras and inner products are defined in a similar way to traditional Hilbert spaces. However, the inclusion of the test space allows for a wider range of functions to be used as bras and kets, making the theory more flexible.

4. What is the significance of bras and inner products in quantum mechanics?

Bras and inner products play a central role in quantum mechanics as they represent the dual space to kets, which are used to describe quantum states. They also allow for the calculation of probabilities and expectation values, making them essential tools for understanding quantum systems.

5. Can bras and inner products be applied to other areas of science?

While bras and inner products were originally developed for use in quantum mechanics, their usefulness has been recognized in other areas of science as well. They can be applied to problems involving differential equations, signal processing, and more, making them a versatile tool for mathematical analysis.

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