Obtaining Velocity Distribution P(v) for Simple Harmonic Motion

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SUMMARY

The discussion focuses on obtaining the velocity distribution P(v) for a particle undergoing simple harmonic motion, specifically using the equation v = sin(wt). Participants explore the concept of distribution functions, emphasizing that they are meaningful when considering a large number of particles or random sampling of velocities. The velocity distribution for a sinusoidal oscillation is derived, resulting in the probability density function p_v(α) = 1/(π√((Aω)² - α²)) for |α| < Aω. This formulation aligns with quantum mechanics principles, particularly the correspondence principle.

PREREQUISITES
  • Understanding of simple harmonic motion and its mathematical representation
  • Familiarity with probability density functions (PDFs)
  • Knowledge of classical mechanics and quantum mechanics principles
  • Basic proficiency in calculus for differentiation and integration
NEXT STEPS
  • Study the derivation of probability density functions in classical mechanics
  • Explore the correspondence principle in quantum mechanics
  • Learn about the mathematical properties of sinusoidal functions in oscillatory motion
  • Investigate the implications of sampling techniques in statistical mechanics
USEFUL FOR

Physicists, students of mechanics, and anyone interested in the statistical analysis of motion in classical and quantum systems will benefit from this discussion.

Mulder
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Is it possible to analytically obtain a velocity distribution P(v) for a particle, say, undergoing simple harmonic motion v=sin(wt) (between max v' and min -v', say)

I'm not sure if this is obvious, I've not come across it before.

Cheers for any feedback.
 
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A distribution function only makes sense when you have a lot of particles.
 
Tide said:
A distribution function only makes sense when you have a lot of particles.

or when you sample the particle velocity at random times. i remember seeing something like this for the simple harmonic oscillator in QM and comparing QM distribution to the Classical distribution.
 
Ok, say a classical particle in a box oscillates with a sawtooth displacement with time - it either has velocity v_0 or -v_0, then I can write a velocity distribution like

P(v)=1/2(delta (v-v_0)+delta (v+v_0)

possible for any other kind of motion?

(I'll use latex one day)
 
Mulder said:
Ok, say a classical particle in a box oscillates with a sawtooth displacement with time - it either has velocity v_0 or -v_0, then I can write a velocity distribution like

P(v)=1/2(delta (v-v_0)+delta (v+v_0)

possible for any other kind of motion?

sure. say it was a sinusoidal oscillation.

x(t) = A \mbox{sin}(\omega t + \theta)

and you sample its position at some random time. the p.d.f. of the position is

p_x(\alpha) = \frac{1}{\pi \sqrt{A^2 - \alpha^2}} (for |\alpha| &lt; A, zero otherwize)

independent of \theta.

we know what the velocity function is:

v_x(t) = x^{\prime}(t) = A \omega \mbox{cos}(\omega t + \theta) = A \omega \mbox{sin}(\omega t + \theta + \pi/2)

so the same can be applied to the velocity function (if sampled a random time):

p_v(\alpha) = \frac{1}{\pi \sqrt{(A \omega)^2 - \alpha^2}} (for |\alpha| &lt; A \omega, zero otherwize)

and the QM model of the harmonic oscillator will begin to look like that in an average sort of way if the wave number is high enough (which is evidence of the correspondance principle).
(I'll use latex one day)

it's useful for condoms. (pretty worthless for math.)
 
Last edited:
Thanks :cool:


Not something I remember explicitly seeing before.
 
Mulder said:
Thanks :cool:


Not something I remember explicitly seeing before.

quite all right. note that i had to fix the pdf functions a little.
 

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