Solving for probability density (Griffith's 1.3)

Click For Summary

Homework Help Overview

The discussion revolves around a problem related to probability density in the context of quantum mechanics, specifically referencing Griffith's textbook. The original poster attempts to understand the relationship between the wave function and the probability density, particularly in terms of calculating the expectation value and interpreting the uniform probability distribution over a specified range.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of probability density versus expectation value, with the original poster questioning how to derive the wave function. There is also an exploration of the implications of uniform probability distribution across a specified range.

Discussion Status

The discussion is active, with some participants providing clarifications on the definitions and properties of probability density. There is an acknowledgment of the original poster's interpretation of the problem, and some guidance is offered regarding the assumptions about uniformity in probability.

Contextual Notes

Participants note potential misunderstandings regarding the application of probability concepts in different contexts, particularly distinguishing between classical probability scenarios and those involving quantum mechanics.

gfd43tg
Gold Member
Messages
949
Reaction score
48

Homework Statement


Problem statement in image
1-3-png.78634.png

Homework Equations

The Attempt at a Solution


From my reading, I know that the probability density
[tex]\langle x \rangle = \int x |\psi|^{2} \hspace 0.05 in dx[/tex]

Where ##\psi## is the wave function and ##\langle x \rangle## is the probability density. So I figure that I will go ahead and do this,

[tex]\rho (\theta) = \int \theta |\psi|^{2} \hspace 0.05 in d \theta[/tex]

However, how do I figure out the wave function of this? I don't have a good sense for this problem and can't connect the pieces.
 

Attachments

  • 1.3.PNG
    1.3.PNG
    26 KB · Views: 502
Last edited:
Physics news on Phys.org
What you have written down is the expectation value, not the probability density. It is stated in the problem what the probability density is and what properties it should have.
 
Okay, so then I interpret the question to mean when it says that if flicked, it is equally likely to come to rest at any angle between zero and pi

[tex]P = \int_{0}^{\pi} \rho (\theta) \hspace 0.02 in d \theta = 1[/tex]

So if I assume ##\rho (\theta)## is constant, then ##\rho (\theta) = \frac {1}{\pi}##
 
Correct. It does not have to be harder than that :)
 
Maylis said:
Okay, so then I interpret the question to mean when it says that if flicked, it is equally likely to come to rest at any angle between zero and pi

[tex]P = \int_{0}^{\pi} \rho (\theta) \hspace 0.02 in d \theta = 1[/tex]

So if I assume ##\rho (\theta)## is constant, then ##\rho (\theta) = \frac {1}{\pi}##

No assumption needed; that is exactly what is meant by "equally likely".

You seem to have some basic misunderstandings of probability. It usually has nothing to do with Quantum Mechanics or wave functions and the like. If we talk about probabilities in coin-tossing, there are no wave functions involved. If we talk about outcomes when spinning a roulette wheel, no wave functions are involved. When we talk about probabilities of car accidents, no wave functions are involved. When I want to know how long I have to wait for a bus, no wave functions come into the issue. Only when we talk about probabilities of events at the atomic or subatomic scale do wave functions enter into the calculation.
 

Similar threads

  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 4 ·
Replies
4
Views
657
  • · Replies 7 ·
Replies
7
Views
2K
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 23 ·
Replies
23
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K