Quantum mechanics angular distribution function

In summary, the most probable value of theta is the maximum of theta function squared weighted by sin(theta), the volume of a thin conical shell. The most probable value of r is when P(r)=r^2 |R(r)|^2.
  • #1
tomothy
20
0
1. Radial and angular distribution functions for an orbital

Find the most probable value of theta and r for a 2pz orbital

Homework Equations



[itex]\psi _{2p_{z}} = N \textrm{cos}(\theta) r exp (-r/2)[/itex] in units of [itex]a_0[/itex]

The Attempt at a Solution



Most probable r is when [itex] \textrm{d/d}r (P(r))=0 \Rightarrow r_\textrm{max} = 4[/itex] where [itex] P(r)=r^2 |R(r)|^2[/itex]

The most probable value of theta is the maximum of the theta function squared weighted by sin(theta), the volume of a thin conical shell.

[itex]P(\theta)=\textrm{sin}(\theta) |\Theta (\theta)|^2 \Rightarrow \theta_\textrm{max} = \textrm{arcsin}(\pm1/\sqrt{3})[/itex]

Cheers.
 
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  • #2
Interesting, your most probable value of theta appears to have a probability of zero.
Wouldn't the expectation value play a role in this somewhere?

Anyway... what was your question?
 
  • #3
Simon Bridge said:
Wouldn't the expectation value play a role in this somewhere?
Why would it? The OP is asked to find where the probability density attains a maximum, not the average value of r or ##\theta##.
 
  • #4
@Vela: that would be one reading of the question - however, it does not actually ask for the maximum of the probability distribution in so many words - it asks for the most probable value. i.e what value would one expect to find the particle near? Mind you - it's probably the same place.

The maximum value is as probable as any other after all.

If they wanted the maximum, then why not say so?
OTOH, this is a very common wording for questions about averages.

However - context is everything.
If previous assignment questions have used that phrasing to mean "maximum" then fine.
Which is why I asked the OP whether the expectation value has a role to play in this
... prompts an explanation.

There's another question I'm saving up for after the answer to this one.
 
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  • #5
I'll have to disagree with you here. Most probable unambiguously means the place where there probability density attains a maximum. I have never seen it used to refer to the expectation value. Indeed, many books make a point to note that these two values are not the same. See, for example, http://hyperphysics.phy-astr.gsu.edu/hbase/quantum/hydr.html.
 
  • #6
In the hyperphysics example, I see "most probable" used in a loose summary at the end, while the body used the terms "maximum probability" in the context of a probability distribution. These are easily synonymous though.

The question comes as homework - from a class.
So let's see how working teachers cover the topic:

I've seen it done both ways - here is a counter example from a lecture:
http://lcbcpc21.epfl.ch/Course/aimf/lecture6_06.pdf
... slide 1:
. The most
likely position of the particle is the average over this probability
distribution (expectation value).​

And another one, from a slightly more advanced course:
http://physics.mq.edu.au/~jcresser/Phys201/LectureNotes/ProbabilitiesExpectationValues.pdf
p37 the "most likely" position for a particle in a box is computed using the expectation value.

Another introductory lesson - this time for the hydrogen atom:
http://spiff.rit.edu/classes/phys314/lectures/hyd_probs/hyd_probs.html
So, where is the electron most likely to be? We can answer this question in two ways.
One way is to compute the expectation value of the radius, ... Another way is to look at a graph of the quantities in question. The peak of the curve showing probability as a function of radius defines the MOST LIKELY position for the electron.​
... which is how I normally teach it.
You need context to work out what counts as an appropriate answer.
Technically - a particle, on a single measurement, is most likely to be found in regions near a local maximum.
A small region around the expectation value may even have zero probability.
That's really just a central value.

I can also find course-notes which agree with hyperphysics.
It's curious that few of the course notes actually discuss the distinctions properly.

... so what does the person who set the question mean by "most probable"?
Is it safe to assume, blind, that they are using the same approach as hyperphysics on this?
Perhaos the question was taken from the same sorts of text-books you are used to?
Or are we better advised to ask the person who attended the classes?

Probably OP has chosen that particular approach because past examples from class have done the same.
Still: I don't want to second guess the teacher at this stage.

I was kinda hoping to have this discussion with OP.
 
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  • #7
Simon Bridge said:
I've seen it done both ways - here is a counter example from a lecture:
http://lcbcpc21.epfl.ch/Course/aimf/lecture6_06.pdf
... slide 1:
. The most
likely position of the particle is the average over this probability
distribution (expectation value).​
I'd say this person is flat out wrong.

And another one, from a slightly more advanced course:
http://physics.mq.edu.au/~jcresser/Phys201/LectureNotes/ProbabilitiesExpectationValues.pdf
p37 the "most likely" position for a particle in a box is computed using the expectation value.
I don't see where it says this on page 37. In fact, it says,
Note that this does not necessarily correspond to where the probability is a maximum. In fact, for, say n = 2, the particle is most likely to be found in the vicinity of x = L/4 and x = 3L/4.​
It points out the most likely value is not given by the expectation value.

Another introductory lesson - this time for the hydrogen atom:
http://spiff.rit.edu/classes/phys314/lectures/hyd_probs/hyd_probs.html
So, where is the electron most likely to be? We can answer this question in two ways.
One way is to compute the expectation value of the radius, ... Another way is to look at a graph of the quantities in question. The peak of the curve showing probability as a function of radius defines the MOST LIKELY position for the electron.​
... which is how I normally teach it.
You need context to work out what counts as an appropriate answer.
Technically - a particle, on a single measurement, is most likely to be found in regions near a local maximum.
A small region around the expectation value may even have zero probability.
That's really just a central value.

I can also find course-notes which agree with hyperphysics.
It's curious that few of the course notes actually discuss the distinctions properly.

... so what does the person who set the question mean by "most probable"?
Is it safe to assume, blind, that they are using the same approach as hyperphysics on this?
Perhaos the question was taken from the same sorts of text-books you are used to?
Or are we better advised to ask the person who attended the classes?

Probably OP has chosen that particular approach because past examples from class have done the same.
Still: I don't want to second guess the teacher at this stage.

I was kinda hoping to have this discussion with OP.
Frankly, I think anyone who teaches that "most likely" means "expectation value" does a disservice to his or her students. Sure, you can point out to students that sometimes people erroneously conflate the two, but to suggest that it's correct in some contexts is just wrong. All that does is propagate a common misconception.
 
  • #8
Wrong stuff still gets taught and wrong ideas promulgate and teachers do do disservice to their students.
I'm sorry, I didn't realize this was controversial.

Conflating a central value with a likely one is common enough IRL to be worth checking for.
It would be nice to just tell students "this is the one thing everyone means when they ask" but that is not true.
Hopefully the result of this discussion is that I don't have to have it with as many others ;)

Shall we agree to agree and get back to OPs actual question?
[edit] oh wait: didn't ask a question ...

What do you think of the "thin conical shell"?
I suspect, but do not know for sure, that OP is asking if the calculation is correct.
 

1. What is the angular distribution function in quantum mechanics?

The angular distribution function in quantum mechanics is a mathematical expression that describes the probability of finding a particle at a particular angle in relation to a reference axis. It is used to analyze the behavior of particles in quantum systems, such as atoms and molecules.

2. How is the angular distribution function related to Heisenberg's uncertainty principle?

The angular distribution function is related to Heisenberg's uncertainty principle through the concept of angular momentum. According to the uncertainty principle, the more precisely we know the direction of a particle's momentum, the less we know about its position. This uncertainty is described by the angular distribution function.

3. What is the significance of the angular distribution function in quantum chemistry?

The angular distribution function is crucial in quantum chemistry as it helps in understanding the electron density and molecular structure of atoms and molecules. By using this function, scientists can predict the electron distribution around a nucleus, which is essential in determining the chemical and physical properties of a substance.

4. How is the angular distribution function calculated?

The angular distribution function is calculated by solving the Schrödinger equation, which is the fundamental equation of quantum mechanics. The solution to this equation gives the wave function, which is then used to calculate the probability distribution of the particle in terms of its position and momentum. The square of the wave function gives the angular distribution function.

5. Can the angular distribution function be experimentally measured?

Yes, the angular distribution function can be experimentally measured through techniques such as electron diffraction, which involves passing a beam of electrons through a sample and observing the pattern of scattered electrons. The intensity of the scattered electrons at different angles can be used to determine the angular distribution function of the sample.

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