What Are <p> and <p^2> for a Uniform Psi in a Finite Region?

In summary: In that case, the well defines a region in which the particle is stationary (it has zero energy in that region), while the rest of the space is full of potential energy.
  • #1
bjnartowt
284
3
<p> and <p^2> for uniform "psi"

Homework Statement



What is <p> and <p^2> for state:

[tex]\begin{array}{l}
\psi (x) = {\rm{constant for x}} \in {\rm{[ - a,a]}} \\
\psi (x) = {\rm{0 for x}} \notin {\rm{[ - a,a]}} \\
\end{array}[/tex]

...that is: a "psi" that is constant within a finite region [-a, +a], and zero everywhere else. (No calculus required!).

Homework Equations



[itex]\left\langle {{p_x}} \right\rangle = \left\langle {\psi \left| { - {\bf{i}}{\textstyle{\partial \over {\partial x}}}} \right|\psi } \right\rangle [/itex]

The Attempt at a Solution



[itex]\left\langle p \right\rangle ,\left\langle {{p^2}} \right\rangle = 0[/itex]

...right? I think so, because d/dx(constant) = 0. For a wavefunction that doesn't change, you have a particle that ain't moving, right? I think this is a simple question, but I'm having a dropped-brain moment... :-p

Oh yes: if <p> and <p^2> = 0, then: momentum is exactly known to be 0, so why isn't position-uncertainty infinite?
 
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  • #2


<p>=0, because of symmetry. It is equally likely to go left as right.
However, that doesn't mean the average *speed* is zero.
Just because there is no wind in a room doesn't mean the air is frozen.
By the way, the first of your equations was cut off, at least on my browser.
I would guess integrate by parts?
 
  • #3


Cruikshank said:
However, that doesn't mean the average *speed* is zero. Just because there is no wind in a room doesn't mean the air is frozen. I would guess integrate by parts?

Thanks for your response, Cruikshank.

Anyway, it's entirely-correct that the air in the room I'm in is in motion, despite there being no wind.

Now, I sure would integrate by parts, but:

[tex]\hat p\hat p = - {\hbar ^2}{\textstyle{{{\partial ^2}} \over {\partial {x^2}}}}[/tex]

...so I'm differentiating a constant. That would make the integrand zero.

Oh! I think I thought the integral would come out zero, but I'm wrong: it would be constant. Perhaps:
[tex]\left\langle p \right\rangle \ne 0[/tex]

...after all, meaning we are both wrong.

But then: would we be left with the same or different constants of integration for <p> and <p^2>? They would need to be different to avoid violating uncertainty principle...no?

I think I deviated a bit from what you initially suggested, but you are helping me think out loud, so I'm glad for your post.

And yes: the LaTeX I write tends to get cut off. Why: I do not know... :-p
 
  • #4


You need to consider the endpoints. What happens at x=a and x=-a? The problem is that your wavefunction isn't a valid one. Wavefunctions and their first derivatives should be continuous. One exception to this is when you have an infinite potential. In that case, the first derivative may be discontinuous at boundaries, but the wavefunction is still continuous everywhere.
 
  • #5


vela said:
You need to consider the endpoints. What happens at x=a and x=-a? The problem is that your wavefunction isn't a valid one. Wavefunctions and their first derivatives should be continuous.

Oh! I had forgotten about the continuity of the wavefunction at the boundaries. Now that I think about it: the state I described: a constant-valued wavefunction in some finite interval and zero everywhere else is contrived, rather than a physical-consequence. In fact: when a particle is placed in a finite interval with infinite-confining-power, why, you get standing waves (infinite-potential well), so you're right: the wavefunction isn't valid after all. It's just contrived.

vela said:
One exception to this is when you have an infinite potential. In that case, the first derivative may be discontinuous at boundaries, but the wavefunction is still continuous everywhere.

Hey, wait: it seems we needn't apologize for the infinite potential well as a possible exception to the first-derivative rule. The derivative of the cosine function (the standing waves) is the sine-function: ain't that zero at the boundaries of the infinite potential well?

I know we're getting off-track, but it's helping me to discuss these things. I'm beefing up for the Physics GRE.
 
  • #6


Try drawing the lowest mode for the infinite square well and then sketch its derivative. You'll see it's discontinuous, and you should be able to see it'll be discontinuous for all the modes.
 
  • #7


Hello bjnartowt,
bjnartowt said:
the wavefunction isn't valid after all. It's just contrived.
Be careful. That's not necessarily true! :smile:

It is true that the potential of an infinite square well is contrived. But this problem doesn't seem to even mention what the potential is. It merely talks about the wave function itself.

And it does not state that the wave function is one of the energy eigenstates. The wave function could very well be (and in general, since no other qualifiers were given, can be assumed that it is) a superposition of energy eigenstates.

If the Hilbert space for this system is complete, it's quite possible that the valid wave function shapes are pretty nearly anything you can imagine (as long as the shape is square integrable, etc), via superposition of energy eigenstates. This is similar to how you can create pretty much any mathematical waveform that you can easily imagine using sines and cosines using the Fourier series and Fourier transforms.

Speaking of Fourier transforms, I think one possible method you could use to solve this problem is to recognize that

[tex] \Phi(p) = \frac{1}{\sqrt{2 \pi \hbar}} \int _{- \infty} ^\infty \psi (x) e^{-ipx/\hbar}dx [/tex]

and then solve for <p> and <p2> using Φ(p) using standard means. But I don't recommend doing that for this problem. Your original approach (shown in your relevant equation), is probably a lot simpler.

I suggest instead, start with the wave function as represented by [itex] \psi (x) [/itex]. Plot it on a piece of paper. Then plot [itex] \partial / \partial x [/itex] of that. Note that the derivative of a step function is a Dirac delta function. Do the same thing one more time. Note the derivative of a Dirac delta function is two Dirac delta functions, one going up, and other going down, both very close together.

Use your plots in part to find <p> and <p2> which involves a little multiplying, and summing the sections of area that are not zero (which is actually pretty easy in this case -- you just need to eyeball the figures). :wink:

[Edit: Just so we're on the same page, the relevant equation you should be using for <p> is

[tex]
\left\langle {{p_x}} \right\rangle = \left\langle {\psi \left| { - {\bf{i} \hbar}{\textstyle{\partial \over {\partial x}}}} \right|\psi } \right\rangle
[/tex]

and <p2> is

[tex]
\left\langle {{p^2_x}} \right\rangle = \left\langle {\psi \left| { - \hbar^2}{\textstyle{\partial ^2 \over {\partial x^2}}}} \right|\psi } \right\rangle.
[/tex]

I think you might have missed an [itex] \hbar [/itex] in the relevant equation in the original post.]
 
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FAQ: What Are <p> and <p^2> for a Uniform Psi in a Finite Region?

What is

for uniform psi?

for uniform psi refers to the probability density function (PDF) for a uniform distribution with limits between 0 and 1. This means that any value within that range has an equal probability of occurring.

What is for uniform psi?

for uniform psi refers to the probability density function (PDF) for a uniform distribution squared with limits between 0 and 1. This means that any value within that range has an equal probability of occurring and is then squared.

What is the difference between

and for uniform psi?

The main difference between

and for uniform psi is that the latter is squared. This means that the distribution is more "peaked" or concentrated around the mid-point (0.5) compared to the former. In other words, the probability of obtaining values closer to the mid-point is higher for compared to

.

How do I calculate

for uniform psi?

The formula for calculating

for uniform psi is simply 1/(upper limit - lower limit). In this case, the upper limit is 1 and the lower limit is 0, so the formula becomes 1/(1-0) = 1. This means that the probability of obtaining any value within the range of 0 to 1 is 1 or 100%.

Can

or be greater than 1 for uniform psi?

No, for a uniform distribution, the probability density function (PDF) cannot be greater than 1. This is because the area under the PDF curve must always equal to 1, representing the total probability of all possible outcomes. This holds true for both

and for uniform psi.

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