What distinguishes the average and most likely position of a particle?

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SUMMARY

The discussion clarifies the distinction between the average position and the most likely position of a particle, particularly in the context of probability distributions. The average position is calculated using the integral <x> = ∫0 x P(x) dx, while the most likely position is determined by locating the maximum of the probability density function P(x). The participants also explored the specific probability density function P(x) = B^2 x e^{-βx}, emphasizing the importance of correctly identifying the wave function and its modulus square in quantum mechanics.

PREREQUISITES
  • Understanding of probability distributions in quantum mechanics
  • Familiarity with wave functions and their modulus square
  • Knowledge of integration techniques, particularly integration by parts
  • Basic concepts of statistical mechanics, including average and most probable values
NEXT STEPS
  • Study the derivation of the average position using <x> = ∫0 x P(x) dx in quantum mechanics
  • Learn about the significance of the most probable position in probability distributions
  • Explore the properties of the exponential function in relation to probability density functions
  • Investigate the error function and its applications in integrals involving Gaussian distributions
USEFUL FOR

Students and professionals in physics, particularly those focused on quantum mechanics, statistical mechanics, and mathematical physics. This discussion is beneficial for anyone seeking to understand the nuances between average and most likely positions of particles in probabilistic contexts.

  • #61


Okay, so should have been:

B^2 \left[-\frac{x^2}{2\beta}e^{-2\beta x} - \frac{x}{2\beta^2}e^{-2\beta x} - \frac{1}{4\beta^3}e^{-2\beta x} \right]^{\infty}_0

Which means once all the values are put in, we get:


B^2 \left[\left(-\frac{\infty^2}{2\beta}e^{-2 \beta \infty} \right) - \left(-\frac{1}{4\beta^3} \right) \right]

Thus:

B^2 \left[-\left(-\frac{1}{4\beta^3} \right) \right]

&lt;x&gt; = B^2 \left[\frac{1}{4\beta^3}\right]

Is this okay now?
 
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  • #62


yes .
 
  • #63


Okay so now we have found

&lt;x&gt; = B^2 \left[\frac{1}{4\beta^3}\right]

This is the Average Position

So now I need to find the most probable I have to find where P(x) is a maximum... does this mean I have to differentiate:

P(x) = B^2 xe^{-2\beta x}
 
  • #64


TFM said:
Okay so now we have found

&lt;x&gt; = B^2 \left[\frac{1}{4\beta^3}\right]

This is the Average Position

So now I need to find the most probable I have to find where P(x) is a maximum... does this mean I have to differentiate:

P(x) = B^2 xe^{-2\beta x}

yeah, you have to find where maximum is.
 
  • #65


Okay So I am assuming I need to use the product rule, so:

P(x) = B^2 xe^{-2\beta x}

Product rule:

uv = udv + vdu

u = B^2 x, du = B^2

v = e^{-2\beta x}, dv = -2 \beta e^{-2\beta x}

Thus:

= -B^2x2 \beta e^{-2\beta x} + B^2e^{-2\beta x}

Does this look okay?
 
  • #66


TFM said:
Okay so now we have found

&lt;x&gt; = B^2 \left[\frac{1}{4\beta^3}\right]

This is the Average Position

Assuming that the wavefunction is normalized such that

\int_0^{\infty}P(x)dx=1

You can actually compute what the value of B must be in terms of\beta and use that to express the average position in terms of \beta only. That should make it much easier to compare the average value to the expected value.
 
  • #67


yes your derivative is ok.

I think he knows what B is, he said it was a function of 'beta'
 
  • #68


Okay, now I have this in my workings out...

I have B = 2\beta

Does this seem about right?
 
  • #69


yeah that is correct (also B = -2'bets' is fine)
 
  • #70


malawi_glenn said:
yeah that is correct (also B = -2'bets' is fine)

So is B=\pm 2\beta i; all that really matters is that |B|^2=4\beta^2.
 
  • #71


yes that is true, the wave functions are, in general, complex valued. However, their modulus square is real :-)
 
  • #72


Okay so if we insert in B:

= -(2\beta)^2x2 \beta e^{-2\beta x} + (2\beta)^2e^{-2\beta x}

= -8x\beta^3 e^{-2\beta x} + 4\beta^2e^{-2\beta x}

So does this look okay?
 
  • #73


yes, then what is the value of x which gives the derivative equal to zero?
 
  • #74


It is going to be infinity, because both sides have e^-x, and only one has x before hand, so we need the e^-x = 0, which means x must be infinity
 
  • #75


no no no no no

<br /> 0 = -8x\beta^3 e^{-2\beta x} + 4\beta^2e^{-2\beta x} <br />

Show me how you solve it.
 
  • #76


x \to \infty is one extremum, but certainly not a maximum...P(x \to \infty)=0...There is one more solution to that equation which does correspond to a maximum.
 
  • #77


Well, you want x on one side, so:

0 = -8x\beta^3 e^{-2\beta x} + 4\beta^2e^{-2\beta x}

8x\beta^3 e^{-2\beta x} = 4\beta^2e^{-2\beta x}

2x\beta^3 e^{-2\beta x} = \beta^2e^{-2\beta x}

2x e^{-2\beta x} = \frac{\beta^2}{\beta^3}e^{-2\beta x}

2x e^{-2\beta x} = \beta^{-2}e^{-2\beta x}

2x = \beta^{-2}\frac{e^{-2\beta x}}{e^{-2\beta x}}

2x = \beta^{-2}

x = \frac{\beta^{-2}}{2}

How is this?
 
  • #78


<br /> 2x e^{-2\beta x} = \frac{\beta^2}{\beta^3}e^{-2\beta x} <br />

is not

<br /> 2x e^{-2\beta x} = \beta^{-2}e^{-2\beta x} <br />

(I am faster than gabbagabbahey ! :-D )
 
  • #79


\frac{\beta^2}{\beta^3}=\frac{1}{\beta}\neq\beta^{-2} :wink:
 
  • #80


Hmm, why did I do that?

2x e^{-2\beta x} = \beta^{-1}e^{-2\beta x}

2x = \beta^{-1}\frac{e^{-2\beta x}}{e^{-2\beta x}}

2x = \beta^{-1}

x = \frac{\beta^{-1}}{2}

Is this better?
 
  • #81


yes! :-)

or nicer <br /> x = \frac{1}{2\beta} <br />
 
  • #82


Don't forget to express \langle x \rangle in terms of \beta in order to properly compare the average value to the expected value :smile:
 
  • #83


Okay so:

Average Position:

\frac{4\beta^2}{4\beta^3}\right]

\frac{1}{\beta}\right]

And the Most probable position:

\frac{1}{2\beta}
 
  • #84


yup, quite cool isn't it?

the reason for this is that the wave function has a long 'tail' which makes more 'probability' lie to the right of its maximum (c.f Maxwell speed distribution)
 
  • #85


Indeed, not much difference, just *half more

Would the Standard deviation for this be the difference, or will I need to use:

|Delta x = \sqrt{&lt;x^2&gt; - &lt;x&gt;^2} [\tex]
 
  • #86


you have to use it
 
  • #87


Okay so:

&lt;x^2&gt; = \int^{\infty}_0 x^2 P(x)

P(x) = B^2 x e^{-2\beta x}

&lt;x^2&gt; = \int^{\infty}_0 x^2B^2 x e^{-2\beta x}

&lt;x^2&gt; = \int^{\infty}_0 x^3B^2 e^{-2\beta x}

&lt;x^2&gt; = B^2 \int^{\infty}_0 x^3e^{-2\beta x}

I have a feeling that this integral will have to be done three times...

Okay so first time:

\left[\int^{\infty}_0 x^3e^{-2\beta x}\right]

f(x) = x^3, f&#039;(x) = 3x^2

g&#039;(x) = e^{-2\beta x}, g(x) = -\frac{1}{2\beta}e^{-2\beta x}

Thus:

\left[ -x^3\frac{1}{2\beta}e^{-2\beta x} - \int -3x^2\frac{1}{2\beta}e^{-2\beta x} \right]

\left[ -x^3\frac{1}{2\beta}e^{-2\beta x} + \frac{3}{2\beta}\int x^2e^{-2\beta x} \right]

Okay so far?
 
  • #88


so now you added a question to the original one, how rude!

and I/we don't have to feed you like a baby, have some confident
<br /> \int x^2e^{-2\beta x} \, dx<br />
now you know what the integral is, you did earlier
 
  • #89


Sorry
 
  • #90


how's it going?
 

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