Principal Values & Fourier Transforms in Quantum Physics

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Discussion Overview

The discussion centers around the interpretation of integrals in quantum mechanics, specifically regarding the expectation value of momentum in the context of Fourier transforms and principal values. Participants explore the mathematical foundations and implications of using principal values versus improper integrals in quantum physics.

Discussion Character

  • Debate/contested
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant questions whether the expectation of momentum in quantum mechanics is calculated using the principal value of the integral rather than the improper integral, citing a specific course solution as a reference.
  • Another participant introduces the concept of Rigged Hilbert Spaces and suggests that principal values are commonly used in distribution theory, which is relevant to quantum mechanics.
  • There is a suggestion that distribution theory should be studied independently to enhance understanding of quantum mechanics and Fourier transforms.
  • A participant provides a specific integral from the MIT course and discusses its evaluation, noting that it was argued to be zero due to the symmetry of the integrand being an odd function.
  • Further exploration of odd functions is presented, with examples illustrating that certain integrals diverge under traditional definitions.
  • Another participant proposes a method to analyze the integrand by splitting the range of integration and considering the behavior near singularities.

Areas of Agreement / Disagreement

Participants express differing views on the treatment of integrals in quantum mechanics, particularly regarding the use of principal values versus improper integrals. No consensus is reached on whether integrals over the real line are assumed to be principal values in quantum physics.

Contextual Notes

Participants reference specific mathematical definitions and properties of integrals, highlighting the complexity and nuances involved in evaluating them in the context of quantum mechanics.

homer
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E.g., if I have a time independent wavefunction \psi(x) with Fourier transform \tilde{\psi}(k), in computing the expectation of momentum are we calculating the principal value
<br /> \lim_{R \to \infty} \int_{-R}^{R} dk\,\lvert \tilde{\psi}(k)\lvert^2\, \hbar k<br />
instead of the improper integral
<br /> \int_{-\infty}^{\infty} dk\,\lvert \tilde{\psi}(k)\lvert^2\, \hbar k = \lim_{R_1, R_2 \to \infty} \int_{-R_1}^{R_2} dk\,\lvert \tilde{\psi(k)}\rvert^2\,\hbar k<br />

I ask because a solution from the 8.04 Quantum Physics course on MIT OCW only makes sense taking the principal value of the improper integral for the momentum operator's expectation, and not taking the mathematical definition of an improper integral. Is it assumed integrals over the real line are principal values in quantum physics? Fourier transforms are usually interpreted as principal values, correct? Or no?
 
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The correct mathematical setting for QM are what's known as Rigged Hilbert Spaces - which, basically, is Hilbert Spaces with distribution theory stitched on. In distribution theory the principal value is generally used. Why is the subject of a full development of it which really should be part of any applied mathematicians armoury. The following is a really good book for that:
https://www.amazon.com/dp/0521558905/?tag=pfamazon01-20

Thanks
Bill
 
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Thanks bhobba! Maybe I'll take that course on distributions offered by coursera in January (though it's in French). Is distribution theory something I should study by itself, or is it something one would pick up studying grad level QM books?
 
You should study it on your own. It will enrich not just understanding QM and that damnable Dirac Delta function, but many areas of applied math. Its treatment of Fourier Transforms is simply so easy and elegant you won't want to do it any other way. If you come across other approaches with deep theorems of convergence etc you will scratch your head - why bother.

I highly recommend you get the book I linked to for your library. I have it, but learned distribution theory from other sources - wish I started with that book - many other texts require a good knowledge of functional analysis - which fortunately I had - but isn't really required.

Thanks
Bill
 
Sounds like something worth checking out. Thanks for the recommendation.
 
homer said:
I ask because a solution from the 8.04 Quantum Physics course on MIT OCW only makes sense taking the principal value of the improper integral for the momentum operator's expectation, and not taking the mathematical definition of an improper integral. Is it assumed integrals over the real line are principal values in quantum physics? Fourier transforms are usually interpreted as principal values, correct? Or no?
It would help if you posted the actual MIT integral you refer to.

Generally, when there are poles on the integration contour, one (tries to) interpret the integral as a Cauchy Principal Value integral, since (if it exists), it's compatible with the notion of a Lebesgue integral.
 
strangerep said:
It would help if you posted the actual MIT integral you refer to.

Generally, when there are poles on the integration contour, one (tries to) interpret the integral as a Cauchy Principal Value integral, since (if it exists), it's compatible with the notion of a Lebesgue integral.

The integral was

\langle \hat{p}\rangle =<br /> \int_{-\infty}^{\infty} dk\,\Big(<br /> \frac{2}{\pi a}<br /> \frac{\sin^2(ka/2)}<br /> {k^2}<br /> \Big)\,\hbar k = <br /> \frac{2\hbar}{\pi a}<br /> \int_{-\infty}^{\infty} dk\,\Big(<br /> \frac{\sin^2(ka/2)}<br /> {k}<br /> \Big)<br />

which was argued to be zero because it is integrating an odd function from -\infty to +\infty, which makes sense if we're taking the limit as R \to \infty of integrating from -R to +R so that we really can say the domain of integration is symmetric about k = 0.
 
Interesting. Simpler examples with odd functions: ##\int_{-\infty}^\infty x ~dx## and ##\int_{-\infty}^\infty \sin x ~dx##. The definition given in the text that I used in first-year: if ##f## is continuous on ##\mathbb{R}##, then ##\int_{-\infty}^\infty f \left(x \right)~dx## is defined as

$$\int_{-\infty}^\infty f \left(x \right)~dx = \lim_{a \rightarrow -\infty} \int_a^c f \left(x \right)~dx + \lim_{b \rightarrow \infty} \int_c^bf \left(x \right)~dx$$

where ##c## is any real number. By this definition, both the integrals that I have given are divergent.
 
homer said:
\int_{-\infty}^{\infty} dk\,\Big(<br /> \frac{\sin^2(ka/2)}<br /> {k}<br /> \Big)<br />

Let's take a closer at the integrand. As ##k## goes to ##\pm \infty##, the integrand goes as ##1/k##; as ##k## goes to zero, the integrand goes as ##k^2/k = k##. Split the range of integration into

$$\int_{-\infty}^\infty = \int_{-\infty}^{-L} + \int_{-L}^{-s} +\int_{-s}^0 + \int_0^s + \int_s^L + \int_L^\infty ,$$

where ##L## is a sufficiently large number and ##s## is a sufficiently small number. Because the integrand is odd, ##\int_{-L}^{-s} + \int_s^L =0##

All the other integrals, including the parts at zero, are improper. To get a feel for what happens, use the standard definitions for improper integrals (take PV at zero) and the the approximations that I gave above.
 

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