Effect of momentum distribution on probability density

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Discussion Overview

The discussion revolves around the relationship between momentum probability density ##|\tilde{\Psi}|^2## and spatial probability density ##|\Psi|^2##, particularly how specific ranges of momentum affect the motion of the spatial probability density over time. Participants explore theoretical aspects, mathematical formulations, and implications of these relationships.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant notes that a Gaussian momentum probability density centered far to the right will cause the spatial probability density to travel right over time, raising questions about pinpointing effects of specific momentum ranges on spatial motion.
  • Another participant explains that in momentum space, a superposition of plane waves exists, with each component representing a plane wave moving with momentum ##\vec{p}##, suggesting that Fourier transforms could be used to analyze the effects of a specific momentum range on wave packet motion.
  • A different participant discusses the phase accumulation of plane waves over time, indicating that the rear portion of the spatial wavefunction is influenced by lower momentum components, while the front is influenced by higher momentum components. They propose calculating the average position of the wave packet contributed by a certain momentum range using an expectation value formula.
  • One participant suggests using a window function to filter the momentum wavefunction and discusses the implications of using a Gaussian function for this purpose, noting that the resulting position space wavefunction will exhibit oscillations that can be affected by the chosen momentum range.
  • Another participant emphasizes the importance of the Hamiltonian in determining wave packet motion, stating that for a free particle, the momentum-space wave function remains unchanged except for a phase factor, leading to a time-independent probability distribution.

Areas of Agreement / Disagreement

Participants express various viewpoints and approaches, with no consensus reached on the specific effects of momentum ranges on spatial probability density. The discussion includes both agreement on the general principles and disagreement on the implications and methods of analysis.

Contextual Notes

Some participants highlight the need for a Hamiltonian to fully understand wave packet motion, indicating that the discussion may be limited by assumptions regarding the system being analyzed.

WWCY
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Hi all, I have the following query:

I understand that the "make-up" of momentum probability density ##|\tilde{\Psi}|^2## has an effect on the motion of the spatial probability density ##|\Psi|^2##. For example, a Gaussian ##|\tilde{\Psi}|^2## centred far to the right will cause ##|\Psi|^2## to travel right over time.

However, is there any way to pinpoint the effects that a certain range of ##|\tilde{\Psi}|^2## has on ##|\Psi|^2##? For example, could one find out what effects momenta ##p ∈ [p_1,p_2]## have on the motion of ##|\Psi|^2##?

Thanks in advance!
 
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In momentum space, you basically have a superposition of plane waves, so each ##\vec{p}## component represents a plane wave moving with momentum ##\vec{p}##.

You can also take a Fourier transform of the ##[p_1,p_2]## range at two different times to see how it affects the motion of the wave packet.
 
Imagine at t=0 your momentum space wavefunction are real, this means all of the plane waves are in phase at the start. Then as time passes, each plane wave accumulates phase at different rate since they move with different velocities. Mathematically at arbitrary time ##t##, you have ##\tilde\psi(p,t) = \exp(-ip^2t/(2m)) \tilde\psi(p,0)##.
In position space it is intuitive to think that at any given time ##t>0## the rear portion (in x axis, the left part) of ##\psi(x,t)## must be dominated by the lower momentum part of ##\tilde\psi(p,t)## because this portion moves slower than the rest of the plane waves. On the other hand, the front part of ##\psi(x,t)## must be dominated by the higher momentum part of ##\tilde\psi(p,t)##.
WWCY said:
However, is there any way to pinpoint the effects that a certain range of |~Ψ|2|\tilde{\Psi}|^2 has on |Ψ|2|\Psi|^2? For example, could one find out what effects momenta p∈[p1,p2]p ∈ [p_1,p_2] have on the motion of |Ψ|2|\Psi|^2?
I have not tried the following but I think you can follow it since it's interesting to see. At any given time, you can try to calculate the average position of the wavepacket portion contributed by certain momentum range ##[p_a,p_b]##. In other words calculate the following expectation value
$$
x(p_0,t)=\int dp \ \tilde\psi^*(p,p_0,t) i\hbar\partial_p \tilde\psi(p,p_0,t)
$$
with
$$
\tilde\psi(p,p_0,t) = F(p,p_0)\tilde\psi(p,t) = F(p,p_0) \exp(-ip^2t/(2m)) \tilde\psi(p,0)
$$
where ##F(p,p_0)## is the filter/window function centered at ##p=p_0## whose width determines the momentum range of interest.
##x(p_0,t)## above is a function of two variables, I imagine for a fixed ##t## you will get a monotonically increasing function between ##x## and ##p_0## because smaller momenta (slower plane waves) populate smaller ##x##. But you can plot ##x(p_0,t)## as a 2D colormap plot with x and y-axis the variables and ##x## represented by color.
DrClaude said:
You can also take a Fourier transform of the [p1,p2][p_1,p_2] range at two different times to see how it affects the motion of the wave packet.
In that case and in relation to the method I suggested above, the window function is equal to a box function. The Fourier transform of the resulting windowed momentum wavefunction, i.e. the filtered position space wavefunction, will be a convolution between the a sinc function and the unfiltered position space wavefunction. Such function contains oscillation which attenuates very slowly and therefore can be affected by the range used in the actual computation. In my experience, such windowing function can be well represented by a Gaussian function centered at ##p_0## and standard deviation being approximately equal to ##p_a-p_b##.
 
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Thanks very much to you both for your insights!
 
WWCY said:
Hi all, I have the following query:

I understand that the "make-up" of momentum probability density ##|\tilde{\Psi}|^2## has an effect on the motion of the spatial probability density ##|\Psi|^2##. For example, a Gaussian ##|\tilde{\Psi}|^2## centred far to the right will cause ##|\Psi|^2## to travel right over time.

However, is there any way to pinpoint the effects that a certain range of ##|\tilde{\Psi}|^2## has on ##|\Psi|^2##? For example, could one find out what effects momenta ##p ∈ [p_1,p_2]## have on the motion of ##|\Psi|^2##?

Thanks in advance!
Without giving the Hamiltonian, I can't tell you anything about how the wave packet moves (neither in momentum nor in position representation). For a free particle, momentum is conserved, and thus the momentum-space wave function doesn't change up to a phase factor and thus the probability distribution is time independent, as it must be.
 

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