Probability density of an electron of hydrogen

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SUMMARY

The discussion focuses on calculating the probability density of an electron in a hydrogen atom in the state n=2, l=1. The participants clarify that the probability density is given by the square of the wave function, specifically |Ψnml(r, θ, φ)|², and emphasize the importance of integrating over angular variables to obtain the correct radial probability density. The integration limits for the radial component are confirmed to be from 0 to r, and the normalization condition for the spherical harmonics is established as integral equal to 1. The conversation highlights the necessity of understanding both radial and angular components in quantum mechanics.

PREREQUISITES
  • Understanding of quantum mechanics principles, specifically wave functions and probability densities.
  • Familiarity with the Schrödinger equation and its solutions for hydrogen atoms.
  • Knowledge of spherical coordinates and integration techniques in multiple dimensions.
  • Basic understanding of spherical harmonics and their normalization conditions.
NEXT STEPS
  • Study the derivation of the radial wave function R(r) for hydrogen atom states.
  • Learn about the normalization of spherical harmonics and their role in quantum mechanics.
  • Explore the concept of joint probability density in quantum systems.
  • Practice solving integrals involving spherical coordinates and probability densities in quantum mechanics.
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Students and educators in quantum mechanics, physicists working with atomic models, and anyone interested in understanding the probability distributions of electrons in hydrogen atoms.

Lindsayyyy
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Hi everyone

Homework Statement



What's the probability density of an electron at a distance r (from hydrogen) which is in the stae n=2, l=1.

Homework Equations


-



The Attempt at a Solution



I think I have to to solve

\int |\Psi_{nml}|^2 dV

The solution of the Schrödinger equation is

\Psi_{nml} = R(r) Y(\theta,\varphi)


I think I can just ignore my Y and onle calculate

\int |R(r)|^2 r^2 dr


I found in the internet the term for R with n=2 and l=1. But this leads to a horrbile integral. Furthermore I'm not sure about the integration limits. I think the lower limit is zero, but what's the other one? I think it's r because I want to find the probability density at r. Is this attempt right and do I really have to solve that integral? (I solved it with wolfram alpha. The solution is pretty long aswell. I think there is an easier way).

Thanks for your help
 
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You're asked about the probability DENSITY, which means that no integral sign is necessary.
 
Oh ok...I'm surprised now actually. What's the approach to calculate the probability density? We haven't heard about that in our lecture :rolleyes:
 
##|\Psi_{mn\ell}(r,\phi,\theta)|^2## is the probability density. That's why when you integrate over it over all space it has to give 1, so that the probability is 1.

However, ##|\Psi_{mn\ell}(r,\phi,\theta)|^2## is the joint-probability density for the radial position and angular positions. If you only want the radial probability density, then you do need to integrate over the angular variables. If you integrate over the angular variables. If you just neglect the ##Y_{\ell m}(\phi,\theta)##, you'll be off by a constant factor. However, once you've integrated over the angular variables, the

$$a\int dr r^2 |R(r)|^2$$
that you wrote down must integrate to 1. A 1-d radial probability density must satisfy ##\int dr \rho(r) = 1##, so what must your probability density be?

(The "a" in the above formula is just standing in for the constant you get from integrating over the angular variables.)
 
so, my probability density would be
w dr= 4 \pi r^3|R(r)|^2 dr ?
 
Lindsayyyy said:
so, my probability density would be
w dr= 4 \pi r^3|R(r)|^2 dr ?

Where did the extra factor of ##r## come from? You originally wrote ##r^2|R(r)|^2## in the integral in your earlier post.
 
sorry i meant r^2
 
Lindsayyyy said:
sorry i meant r^2

Ok, that's good then. Two more questions: did your problem not specify which ##m## state the system is in, or that it is at least in a definite m state? If it were in a superposition of the possible m states the calculation would not be as simple, so you might want to double check that, but I suspect the problem is assuming a fixed state of definite m.

Also, are you sure about that factor of ##4\pi##? If you actually integrate over the ##|Y_{\ell m}(\theta,\phi)|^2## over the solid angle ##d\Omega = d\theta d\phi \sin\theta##, as opposed to just ignoring the spherical harmonic, you do not get a factor of ##4\pi##, I believe.
 
you should better see here,
http://panda.unm.edu/Courses/Finley/P262/Hydrogen/WaveFcns.html
for n=2,l=1,probability density is simply |ψ|2 for the corresponding n and l.
 
  • #10
Mute said:
Ok, that's good then. Two more questions: did your problem not specify which ##m## state the system is in, or that it is at least in a definite m state? If it were in a superposition of the possible m states the calculation would not be as simple, so you might want to double check that, but I suspect the problem is assuming a fixed state of definite m.

Also, are you sure about that factor of ##4\pi##? If you actually integrate over the ##|Y_{\ell m}(\theta,\phi)|^2## over the solid angle ##d\Omega = d\theta d\phi \sin\theta##, as opposed to just ignoring the spherical harmonic, you do not get a factor of ##4\pi##, I believe.


no m was given. Task just says: hydrogen atom in an eigenstate with n l given above.
To be honest, I'm very unfamiliar with the probability density. I think I understood the following: If I integrate the probability density I get my probability where to find the electron. But let's assume the following: We ignore the angle function Y because we are just interested in the radial ratio. Is my probability density now only |R|^2 or a|R|^2 (where a is just a coefficient which comes from the dV in spherical coordinates) ?
 
  • #11
Lindsayyyy said:
no m was given. Task just says: hydrogen atom in an eigenstate with n l given above.
To be honest, I'm very unfamiliar with the probability density. I think I understood the following: If I integrate the probability density I get my probability where to find the electron.

Yes, if you integrate the probability density over some region, let's say the region is defined by ##r_1## to ##r_2##, ##\theta_1## to ##\theta_2## and ##\phi_1## to ##\phi_2##, then the result of the integrationis the probability that you will find the electron in that region of space.

Say that you integrate over all the angles, but only from r = 0 to some r'. That is the probability that you will find the electron at any angle, but within a distance R from the origin. If you differentiate this probability with respect to r', you get the radial probability density - but your probability was just the integral

$$a\int_0^{r'} dr~r^2 |R(r)|^2,$$
where the angular components have been integrated out to give some constant a (which you need to find). If you take the derivative of this integral with respect to r' (using the Liebniz rule that I mentioned in a previous thread - it's simpler here because only one limit depends on r'), you should get

$$\rho(r') = a(r')^2 |R(r')|^2.$$

(You can relabel r' as r at this point; the only reason they were different before was because I was already using r as the integration variable and did not want you to mix them up).

Now, to answer the rest of your question:

But let's assume the following: We ignore the angle function Y because we are just interested in the radial ratio. Is my probability density now only |R|^2 or a|R|^2 (where a is just a coefficient which comes from the dV in spherical coordinates) ?

You do not ignore the Spherical Harmonic ##Y##. You have to integrate over it. i.e., you have to perform the integral ##a = \int d\theta d\phi \sin\theta |Y_{\ell m}(\theta,\phi)|^2##. This will give you the factor "a" that I have been writing in this formulas. Alternatively, you could note that the integration will give you some factor "a" that you might not want to calculate, but integrating ##\rho(r)## over all space should give you 1, so you could find "a" by figuring out what it needs to be so that the total probability is 1.

However, you shouldn't need to do that. Do you know what the normalization condition of the spherical harmonics is? That is, do you know

$$\int_0^\pi d\theta \int_0^{2\pi} d\phi \sin\theta Y_{\ell m}(\theta,\phi) Y_{\ell' m'}^\ast(\theta,\phi) = ?$$

This is usually covered in books or lectures when the spherical harmonics are introduced, and you can use it to find ##\int d\theta d\phi \sin\theta |Y|^2##.
 
  • #12
I'm not sure, but about what you said, I think the mentioned integral should equal 1? Actually the lecture is a bit of a mess we have to attend. I don't study 'pure' physics. The physisicts here attend two quantum mechanics lectures (total time = 1 year). I have to attend only this one whereas the QM part is about 3 months. So the professor doesn't go into detail at all. It's hard to come by with all the things when you hear it for the first time like the spherical harmonics etc. that's why I'm so clueless. Thanks for your help and patience :redface:
 
  • #13
Lindsayyyy said:
I'm not sure, but about what you said, I think the mentioned integral should equal 1? Actually the lecture is a bit of a mess we have to attend. I don't study 'pure' physics. The physisicts here attend two quantum mechanics lectures (total time = 1 year). I have to attend only this one whereas the QM part is about 3 months. So the professor doesn't go into detail at all. It's hard to come by with all the things when you hear it for the first time like the spherical harmonics etc. that's why I'm so clueless. Thanks for your help and patience :redface:

Yes, the angular integral is 1! You might expect this to be the case, as otherwise the radial integral over ##r^2|R(r)|^2## would have to give ##1/a##. (Some people do use a different normalization convention in other fields, in which the ##|Y|^2## integral would give ##4\pi/(2\ell + 1)##, but in quantum mechanics the normalization is typically chosen to be 1).
 

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