Difference between the average position and the most likely position of a particleby TFM Tags: average, difference, particle, position 

#1
Feb809, 09:18 AM

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1. The problem statement, all variables and given/known data
part (a): What is the average position of a particle part (b) What is the most likely position of the particle 2. Relevant equations N/A 3. The attempt at a solution What is the difference between these two questions, because on first glance, I would have thought they were the same? TFM 



#2
Feb809, 11:12 AM

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They are not a priori the same, consider as an analogy the maxwell veolcity distribution:
http://www.ac.wwu.edu/~vawter/Physic...heoryGas05.gif The peak is most probablespeed and the location on the xaxis where you have equal amount of probability to the left as to the right of that point is the meanspeed. This is general for all probability distributions, e.g. wave functions in quantum mechanics. The most probable value and mean value only coincide if the distribution is symmetric around its maximum. As an example, consider my Cheat  Dice: It has 6sides, 4 of them has the value 1, and the rest of them has the value 6. What is the most probable outcome? And what is the meanvalue of my dice? (a normal dice has 3.5) 



#3
Feb809, 11:19 AM

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Okay, that makes sense, since the two questions are:
(a) Calculate the average position of the particle on the x axis, as a function of β. Mark the average position in your sketch. (b) Mark the most likely position of the particle in your sketch and calculate it as a function of β. So for this, you will have to work out (a), using [tex] \int^\infty_\infty x P(x) dx [/tex], and for (b), locate its position on the graph. But how would you work out it's function? TFM 



#4
Feb809, 11:21 AM

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Difference between the average position and the most likely position of a particle
you have still not said anything about what course it is, and what probability density function you have. Also, show attempt to solution ....




#5
Feb809, 11:28 AM

P: 1,031

Ops, Sorry,
Okay so, I have the P(x) to be [tex] B^2 x e^{\beta x} [/tex] Where B is a function of beta We also know from the wave function that the integrals are actually between 0 and infinity, because the wave function is 0, thus: [tex] <x> = \int^{\infty}_{0} B^2 x e^{\beta x} [/tex] Using integration by parts gives me: [tex] <x> = [\beta x e^{\beta x}  \beta^2 e^{\beta x}]^{\infty}_0 [/tex] 



#6
Feb809, 11:36 AM

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ok, now you are not quite correct, if the probability function [itex]
B^2 x e^{\beta x} [/itex] is the wave function modulus square, then this is the mean value: [tex] <x> = \int^{\infty}_{0} x P(x) \, dx [/tex] So please make sure you have done this, you have written something else in post #3 ... Then most probable, it is just to find where maximum of P(x) is located. 



#7
Feb809, 11:43 AM

P: 1,031

Isn't it normally though:
[tex] <x> = \int^\infty_\infty x P(x) dx [/tex] But changes sometimes due to limits impsoed on the system, eg with this specific function it goes to: [tex] <x> = \int^{\infty}_{0} x P(x) dx [/tex] 



#8
Feb809, 11:48 AM

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Yes, but you said that [tex]
P(x) = B^2 x e^{\beta x} [/tex] and then you performed this integral: [tex] <x> = \int^{\infty}_{0} B^2 x e^{\beta x} dx [/tex] Which is just [tex] \int^{\infty}_{0} P(x) dx \neq <x> [/tex] So be careful. 



#9
Feb809, 11:57 AM

P: 1,031

Okay fair, enough, I can also see what I have done...
P(x) actually is [tex] B^2 \sqrt{x} e^{\beta x} [/tex] But the version I copied from my workings I had already inserted the extra x, making [tex] B^2 x e^{\beta x} [/tex] So does my integral look right now: [tex] <x> = [\beta x e^{\beta x}  \beta^2 e^{\beta x}]^{\infty}_0 [/tex] and how do you insert the limit of infinity? 



#10
Feb809, 12:01 PM

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if [tex]
P(x) = B^2 \sqrt{x} e^{\beta x} [/tex] And if [tex]P(x) = \Psi (x)^* \, \Psi (x) [/tex] Then [tex] <x> = \int _0^{\infty} x\,P(x) \, dx = B^2\int _0^{\infty} x\, \sqrt{x} e^{\beta x} \, dx[/tex] Now I can give you a hint: [itex]xe^{x} \rightarrow 0[/itex] when [itex]x\rightarrow \infty [/itex] 



#11
Feb809, 12:27 PM

P: 1,031

I feel silly, I should have know that [tex] e^{\infty} \approx 0 [/tex]
[tex] = \int _0^{\infty} x\,P(x) \, dx = B^2\int _0^{\infty} x\, \sqrt{x} e^{\beta x} [/tex] Okay, so now: [tex] B^2\int _0^{\infty} x\, x^{1/2} e^{\beta x} = B^2\int _0^{\infty} x^{3/2} e^{\beta x} [/tex] Integration by parts: [tex] u = x^{3/2}, du = (x/2)^{3/2} dv = e^{\beta x}, v = \beta e^{\beta x} [/tex] This gives: [tex] \beta x^{3/2} e^{\beta x}  \int {(x/2)^{3/2} e^{\beta x}}[/tex] Hmm, I need to use the integration by parts again, but if I do, I will still be left with another integral that needs int by parts again... Have I done something wrong? 



#12
Feb809, 12:33 PM

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you might want to do the integration starting all over again...
Hint: consider [tex]\int f g^{'} dx = fg  \int f^{'} g dx[/tex] with [tex] f(x) = x^{3/2} [/tex] [tex] g^{'} (x) = e^{\beta x} [/tex] you have done the derivative of x^{3/2} wrong... 



#13
Feb809, 12:48 PM

P: 1,031

Okay, so:
[tex] f(x) = x^{3/2}, f'(x) = \frac{2}{5}x^{5/2} [/tex] [tex] g'(x) = e^{\beta x}, g(x) = \beta e^{\beta x} [/tex] Thus: [tex] x^{3/2}\beta e^{\beta x}  \int{\frac{2}{5}x^{5/2}\beta e^{\beta x} } [/tex] Okay so far? 



#14
Feb809, 12:49 PM

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f 'prime' means derivative of f
that is standard notation are you sure you have done integration by parts before? 



#15
Feb809, 01:08 PM

P: 1,031

Yeah, I did it for A Level a few years back, although, we used u/v and du/dv. I can do most of them okay...
So: [tex] f(x) = x^{3/2}, f'(x) = \frac{1}{2}x^{1/2} [/tex] [tex] g'(x) = e^{\beta x}, g(x) = \frac{1}{\beta} e^{\beta x} [/tex] So: [tex] = x^{3/2}\frac{1}{\beta} e^{\beta x}  \int{\frac{1}{2}x^{1/2}\frac{1}{\beta} e^{\beta x} } [/tex] [tex] = x^{3/2}\frac{1}{\beta} e^{\beta x}  \frac{1}{2\beta} \int{x^{1/2}e^{\beta x} } [/tex] Is this okay now? 



#17
Feb809, 01:24 PM

P: 1,031

Okay:
[tex] f(x) = x^{3/2}, f'(x) = \frac{3}{2}x^{1/2} [/tex] Thus: [tex] = x^{3/2}\frac{1}{\beta} e^{\beta x} + \frac{3}{2\beta} \int{x^{1/2}e^{\beta x} } [/tex] Better? 


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