Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Lagrangian visualisation and Uncertainty Principle

  1. Oct 7, 2012 #1
    Probably, the essence of quantum theory (QT) is principle of uncertainty (HUP).

    The essence of QT is also the fact that Fourier transformation of wave function in phase(?) space gives wave function in momentum space. If one wave function is Gaussian (and so both ones) this gives HUP.

    Very useful function in quantum mechanics are also Lagrangian and Action principle. Feynman used them in visualization of QED in his book "QED: The Strange Theory of Light and Matter".

    But Lagrangian cannot be so easily visualized as Hamiltonian, for instance.

    Wharton also find Lagrangian useful in QT:

    Indeed, for classical particles and fields, there's a perfect match between the initial data one
    uses to constrain the Lagrangian and the amount of classical data one is permitted under the HUP. In Fermat's principle, if you know the initial light ray position, the HUP says you can't know the initial angle.

    http://fqxi.org/data/essay-contest-files/Wharton_FQX4.pdf

    Above Fourier analysis is used in derivation of HUP. Another aspect in derivation of HUP is use of commutator [x,p_x]. Can Lagrangian be another aspect?
     
    Last edited: Oct 7, 2012
  2. jcsd
  3. Oct 7, 2012 #2
    Now I succeded to find something:
    [tex]\frac{\partial}{\partial t} \pi_i = \frac{\partial {\mathcal L}}{\partial x_i}.[/tex]
    The canonical commutation relations then amount to
    [tex] [x_i,\pi_j] = i\hbar\delta_{ij}, \, [/tex]
    http://en.wikipedia.org/wiki/Canonical_commutation_relation

    If [tex]\pi_i=p_i[/tex] this is the most simple version, what I searched. But I please for visualization and explanation of this?
     
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook




Similar Discussions: Lagrangian visualisation and Uncertainty Principle
Loading...