Probability distribution momentum for particle

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Homework Help Overview

The discussion revolves around finding the probability distribution for the momentum of a particle described by a specific wave function on the x-axis. The original poster attempts to perform a Fourier transform of the wave function to derive the momentum distribution.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the steps involved in performing the Fourier transform and express confusion regarding the integration process and the introduction of time into the equations. There are questions about the correctness of denominators and the interpretation of variables.

Discussion Status

Some participants have provided guidance on checking mathematical expressions and clarifying the role of certain variables. The conversation reflects an ongoing exploration of the problem with various interpretations being considered, particularly regarding the use of time and constants in the equations.

Contextual Notes

There is a noted confusion about the variable 't', which was later clarified to be a miswritten constant that should have been 'ħ'. This highlights the importance of careful notation in mathematical expressions.

renec112
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Homework Statement


A particle with mass m is moving on the x-axis and is described by
## \psi_b = \sqrt{b} \cdot e^{-b |x|}##
Find the probability distribution for the particles momentum

Homework Equations


## \Phi (p)= \frac{1}{\sqrt{2 \pi}} \int_{-\infty}^\infty \Psi(x,0) \cdot e^{-ipx} dx##

The Attempt at a Solution


I just inserted ## \Psi(x,0) \ ## and had a go
## = \frac{1}{\sqrt{2 \pi}} \int_{-\infty}^\infty \sqrt{b} \cdot e^{-b |x|} \cdot e^{-ipx} dx##
move constants out
## = \sqrt{\frac{b}{2 \pi}}\int_{-\infty}^\infty e^{-b |x|} \cdot e^{-ipx} dx##
combine ##e##
## = \sqrt{\frac{b}{2 \pi}}\int_{-\infty}^\infty e^{-b |x| -ipx} dx##
split integral by
## | x| = \begin{cases} \mbox{x,} & \mbox{if } x>0 \\ \mbox{-x,} & \mbox{if } x <0 \end{cases} ##
so we have
## = \sqrt{\frac{b}{2 \pi}} (\int_{-\infty}^0e^{b x -ipx} dx + \int_{0}^\infty e^{-b x -ipx} dx) ##
perform integration
## = \sqrt{\frac{b}{2 \pi}} ([\frac{e^{b x -ipx}}{ip/t - b}]_{-\infty}^0 + [\frac{e^{-b x -ipx}}{ip/t-b}]_0^{\infty}) ##
evaluating these integrals fails i get
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{ip/t - b} - \frac{1}{ip/t - b}) = 0 ##

Can you spot my mistakes? would love some input.
 
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renec112 said:
## = \sqrt{\frac{b}{2 \pi}} (\int_{-\infty}^0e^{b x -ipx} dx + \int_{0}^\infty e^{-b x -ipx} dx) ##
perform integration
## = \sqrt{\frac{b}{2 \pi}} ([\frac{e^{b x -ipx}}{ip/t - b}]_{-\infty}^0 + [\frac{e^{-b x -ipx}}{ip/t-b}]_0^{\infty}) ##
Check the denominators.
 
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DrClaude said:
Check the denominators.
Thanks!
I just had a look and i see it should be:
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{-ip/t + b} - \frac{1}{-ip/t - b}) ##
Giving me
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{-ip/t} + \frac{1}{-ip/t } + \frac{1 }{b}-\frac{1}{b}) ##
## = \sqrt{\frac{b}{2 \pi}} (-2\frac{1}{-ip/t} ) ##
## = -2 \sqrt{\frac{b}{2 \pi}} \frac{t}{ip} ##
Taking the norm squared to get the probability distribution:
## = 4 \frac{b}{2 \pi} \frac{t^2}{p^2} ##

Seems legit to me, but i am not sure.
 
renec112 said:
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{-ip/t + b} - \frac{1}{-ip/t - b}) ##
Giving me
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{-ip/t} + \frac{1}{-ip/t } + \frac{1 }{b}-\frac{1}{b}) ##
What is ##t##? And ##1/(a+b) \neq 1/a + 1/b##.
 
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DrClaude said:
What is ##t##? And ##1/(a+b) \neq 1/a + 1/b##.
Thanks for the reply!
Oh off course not.. My blunder..
t is time - are you thinking about finding an expression for t and substituting it?
 
renec112 said:
t is time - are you thinking about finding an expression for t and substituting it?
No, I just don't understand why are introducing time in the picture. You are Fourier transforming a function from ##x## to ##p##, that's it.
 
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DrClaude said:
No, I just don't understand why are introducing time in the picture. You are Fourier transforming a function from ##x## to ##p##, that's it.
Okay this is embarrassing. It was suppose to be a ##\hbar##, but when i wrote from my notes to latex i thought it was a ##t##
 
renec112 said:
Okay this is embarrassing. It was suppose to be a ##\hbar##, but when i wrote from my notes to latex i thought it was a ##t##
Then it should also appear in the exponential: ##e^{-i p x / \hbar}##.
 
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Right, so i have:
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{-ip/\hbar + b} - \frac{1}{-ip/\hbar - b}) ##

Guess there's not much to do - you think taking the norm squared here is a reasonable idea?

Thanks for helping me out.
 
  • #10
renec112 said:
Right, so i have:
## = \sqrt{\frac{b}{2 \pi}} (\frac{1}{-ip/\hbar + b} - \frac{1}{-ip/\hbar - b}) ##

Guess there's not much to do
Find the common denominator and add the two terms together.
 
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  • #11
DrClaude said:
Find the common denominator and add the two terms together.
Off course! Thanks for being so patient with me. Now it works out :)
 

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