Why is Gaussian Packet the lower limit?

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Discussion Overview

The discussion revolves around the mathematical derivation of the uncertainty limit associated with Gaussian wave packets. Participants explore the theoretical foundations and mathematical tools necessary to understand this limit, including references to the Schwarz Inequality and Fourier transforms.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant inquires about the mathematical derivation of the uncertainty limit for Gaussian wave packets.
  • Another participant suggests using the Schwarz Inequality and linear algebra over complex numbers for the derivation, referencing Sakurai's work.
  • A participant expresses difficulty in understanding the derivation and requests further clarification or links to proofs.
  • Discussion includes the relationship between momentum and position wave functions as Fourier transforms, with references to the uncertainty principle and external resources for proofs.
  • One participant outlines a setup involving the Schwarz Inequality and expectation values of operators, encouraging others to attempt the derivation themselves.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the derivation process, and multiple approaches and resources are suggested without resolving the inquiry.

Contextual Notes

Limitations include the assumption that participants are familiar with concepts such as the Schwarz Inequality, Fourier transforms, and the properties of hermitian operators, which may not be universally understood.

Who May Find This Useful

Readers interested in quantum mechanics, particularly those studying the uncertainty principle and Gaussian wave packets, may find this discussion relevant.

kokolovehuh
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Dear all:
When I was just reading about how Gaussian wave packets allow us to derive(because it has) the lowest limit on uncertainty. So what would be the (mathmetical?) derivation to just obtain that limit before proving/identifying that it's true for Gaussian packet?
 
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You really just need the Schwarz Inequality and some basic linear algebra over \mathbb{C}. For a derivation of the uncertainty relations see Sakurai for instance.
 
I guess it is easier said than done ;|
Could you type it up or put on a link for the proof? I'm lost.
 
The momentum and position wave functions are basically Fourier transforms of each other, with a factor of 1 / \sqrt{2 \pi \hbar} thrown in:

\phi(p) = \frac{1}{\sqrt{2 \pi \hbar}} \int_{-\infty}^{+\infty} {\psi(x) e^{-ipx/\hbar} dx}

\psi(x) = \frac{1}{\sqrt{2 \pi \hbar}} \int_{-\infty}^{+\infty} {\phi(p) e^{+ipx/\hbar} dp}

There is a general uncertainty relation that applies to functions that are Fourier transforms of each other, see the third equation of the section "Uncertainty Principle" here:

http://en.wikipedia.org/wiki/Fourier_transform#Uncertainty_principle

You can presumably find the proof in a textbook or perhaps a Web site about Fourier transforms.

[added] Aha, here's one:

http://en.wikipedia.org/wiki/Uncertainty_principle_for_the_short-time_Fourier_transform#Proof_of_the_uncertainty_principle

Unfortunately the notation is different on the two pages. I leave it as an exercise to the student to make them consistent, and perform the change of variables to x and p.
 
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Well, I won't do it for you, but I'll certainly set it up for you. The Schwarz Inequality (a|a)(b|b)\geq |(a|b)|^2. Then let \Delta A=A-(|A|) and set |a)=\Delta A|) and let |b)=\Delta B|). Then note that the expectation values of hermitian operators are real and the expectation values of anti-hermitian operators are purely imaginary. Give this a shot.
 
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thanks, you guys!
 

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