Probability density and kinetic

Click For Summary

Discussion Overview

The discussion revolves around the relationship between probability density and kinetic energy for a particle in a one-dimensional box with varying potential energy. Participants explore the physical interpretation of why probability density is higher in regions of lower kinetic energy, referencing concepts from quantum mechanics and classical motion.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents a potential energy function for a particle in a box and notes that the probability density is greater in regions of lower kinetic energy.
  • Another participant questions whether the initial post is a homework problem and suggests that the problem may involve finding energy eigenvalues and eigenfunctions.
  • A participant explains that lower kinetic energy corresponds to lower speed, leading to the intuition that a slower particle would spend more time in regions of low kinetic energy.
  • There is a suggestion to analyze the classical trajectory of a particle to understand the time spent in different regions of the box, which could help determine the probability of finding the particle in those regions.
  • A participant provides a mathematical example illustrating how the time spent in each region affects the probability of finding the particle, concluding that the particle spends more time in the region of lower kinetic energy.
  • Another participant acknowledges the previous explanation and confirms the reasoning, while also correcting a mistake in their calculations.

Areas of Agreement / Disagreement

Participants express varying levels of agreement on the physical interpretation of the relationship between kinetic energy and probability density, but the discussion remains open with no consensus on the underlying principles or implications.

Contextual Notes

Some assumptions regarding the classical motion of particles and the definitions of kinetic and potential energy are not explicitly stated, which may affect the interpretations presented.

Incand
Messages
334
Reaction score
47
energy.
Consider a particle in a box of the form
##V(x)=
\begin{cases}0 \; \; \; -L < x < 0\\
V_0 \; \; \; 0<x<L\\
\infty \; \; \; \text{ elsewhere}.\end{cases}##
One can show that the probability density
##P(x) = \Psi^* \Psi## is greater in the region of lower kinetic energy (that is at higher potential energy).

What's the physical explanation for this? My notes say something along the lines of "lower velocity give higher probability density" which seems very vague.
I'm guessing this is also related to how the Boltzmann distribution, where the probability decreases with the energy.
 
Last edited:
Physics news on Phys.org
Is this a homework problem? Then post it in the homework forum. Please post a complete problem description. Otherwise we have to guess, what the problem is!

Otherwise, I guess they ask to find the energy eigenvalues and eigenfunctions and calculate the position-probability density distribution for these eigenstates. That's done by solving the time-independent Schrödinger equation.
 
Incand said:
What's the physical explanation for this? My notes say something along the lines of "lower velocity give higher probability density" which seems very vague.
A lower kinetic energy means a lower speed, and a slower-moving particle takes longer to leave a given region... So intuitively you would expect the particle to spend more time in the regions of low kinetic energy just because once there it won't be in any hurry to leave.

It's worth taking a moment to calculate the classical trajectory of a classical particle bouncing back and forth between the walls of the box. In one cycle, how much time does the particle spend in the region between -L and 0, and how much time does the particle spend in the region between 0 and L? The ratio between the two determines the probability of finding the particle In either region at any randomly selected moment.
 
Last edited:
  • Like
Likes   Reactions: Incand
vanhees71 said:
Is this a homework problem? Then post it in the homework forum. Please post a complete problem description. Otherwise we have to guess, what the problem is!

Otherwise, I guess they ask to find the energy eigenvalues and eigenfunctions and calculate the position-probability density distribution for these eigenstates. That's done by solving the time-independent Schrödinger equation.
It's not a homework problem, I just gave an example to describe what I mean. I'm able to show the above result (that would have been a homework problem!), what I was wondering was the physical motivation behind it.

Nugatory said:
A lower kinetic energy means a lower speed, and a slower-moving particle takes longer to leave a given region... So intuitively you would expect the particle to spend more time in the regions of low kinetic just because once there it won't be in any hurry to leave.

It's worth taking a moment to calculate the classical trajectory of a classical particle bouncing back and forth between the walls of the box. In one cycle, how much time does the particle spend in the region between -L and 0, and how much time does the particle spend in the region between 0 and L? The ratio between the two determines the probability of finding the particle In either region at any randomly selected moment.

That makes sense, thanks! And the example nicely illustrates this as well:
If we assume the speed in the first half is ##v## and in the second half ##c_1 v## with ##c_1 > 1## then a bounce from the "midpoint to back to the midpoint" takes ##T_1 =2L/v## and ##T_2 = 2L/(c_1v)## respectively.
The probability of finding the particle in each place is then
##P_1 =\frac{T_1}{T_1+T_2}= \frac{1}{1+1/c_1}##and
##P_ 2= \frac{T_2}{T_1+T_2} = \frac{1}{1+c_1}##
so for ##c_1 >1## we have ##P_2 < P_1## so the particle clearly spends more time in region ##1##.

Edit: fixed a mistake, think it's correct now
 
Last edited:

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 17 ·
Replies
17
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K