Radial distribution function, concept.

In summary, the radial distribution function and the probability density are two different measures of probability in quantum mechanics. The radial distribution function gives the probability of finding two electrons separated by a distance r, which goes to zero as r approaches zero. On the other hand, the probability density gives the probability of finding any electron at a distance r from another electron, which is at a maximum at r=0. These two measures answer different questions and are not opposite to each other.
  • #1
Chemist20
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0
Okay, this is a really basic question. I'm just learning the basics of QM now.

I can't wrap my head around the idea that the radial distribution function goes to zero as r-->0 but that the probability density as at a maximum as r-->zero. How can this be? they are opposite to each other!

Thanks!
 
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  • #2
The probability density [itex]|\Psi|^2[/itex] gives you the probability per unit volume, of finding the electron in a little box dxdydz (rectangular coordinates) or [itex]r^2 \sin \theta dr d\theta d\phi[/itex] in spherical coordinates. For e.g. the ground state, this is maximum at the origin.

The radial probability distribution [itex]4\pi r^2 |R|^2[/itex] gives you the probability per unit radius, of finding the electron in a thin spherical shell with radius r and thickness dr. If you keep dr constant and decrease r, the volume of the shell decreases, which tends to decrease the probability also. As r approaches zero, the volume of the shell approaches zero, and so does the probability.
 
  • #3
jtbell said:
The probability density [itex]|\Psi|^2[/itex] gives you the probability per unit volume, of finding the electron in a little box dxdydz (rectangular coordinates) or [itex]r^2 \sin \theta dr d\theta d\phi[/itex] in spherical coordinates. For e.g. the ground state, this is maximum at the origin.

The radial probability distribution [itex]4\pi r^2 |R|^2[/itex] gives you the probability per unit radius, of finding the electron in a thin spherical shell with radius r and thickness dr. If you keep dr constant and decrease r, the volume of the shell decreases, which tends to decrease the probability also. As r approaches zero, the volume of the shell approaches zero, and so does the probability.

I don't really understand what you mean by "per unit volume" "per unit radius"... sorry. can you explain?
 
  • #4
Assuming the probability density is uniform (constant) inside a box, you get the probability of the particle being inside the box by multiplying the probability density by the volume of the box

[tex]P = |\Psi|^2 V[/tex]

which we usually think of in terms of an infinitesimally small box:

[tex]dP = |\Psi|^2 dxdydz[/tex]

or

[tex]dP = |\Psi|^2 r^2 \sin \theta dr d\theta d\phi[/tex]

If the probability density isn't uniform, we have to integrate a lot of infinitesimally tiny boxes.

Assuming the radial probability distribution Pr is constant between radius R1 and R2, you get the probability that the particle is in a spherical shell with inner radius R1 and outer radius R2 by multiplying the radial probability distribution by the distance between R1 and R2:

[tex]P = P_r (R_2 - R_1)[/tex]

For an infinitesimally thin shell this becomes

[tex]dP = P_r dr[/tex]

The difference between the two kinds of probability distributions is basically the volume of a thin shell: 4πr2dr.

If you want the probability that the particle is inside that infinitesimally thin shell, but you have the probability density and not the radial probability distribution, then you have to multiply by the volume of the shell:

[tex]dP = |\Psi|^2 4\pi r^2 dr[/tex]
 
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  • #5
Chemist20 said:
Okay, this is a really basic question. I'm just learning the basics of QM now.

I can't wrap my head around the idea that the radial distribution function goes to zero as r-->0 but that the probability density as at a maximum as r-->zero. How can this be? they are opposite to each other!

Thanks!

In simple terms, r is a distance between two things (electrons). The radial distribution function gives you the probability of finding two electrons with a distance of r between them. Since they can not occupy the same location, the probability becomes zero as r--> zero.

The probability density of finding an electron at the zero position will be maximum. In other words, they are answering two different questions

1. What is the probability of finding **another** electron a distance r separated from the first: (Radial distribution function)

2. What is the probability of finding **any** electron a distance r from an electron: (Probability density)
 

1. What is a radial distribution function?

A radial distribution function is a mathematical function that describes the probability of finding a particle at a certain distance from a reference particle in a system of particles.

2. What is the significance of the radial distribution function in scientific research?

The radial distribution function is commonly used in fields such as physics, chemistry, and materials science to understand the structure and interactions of particles in a system. It provides valuable information about the arrangement of particles and can be used to study the thermodynamic and dynamic properties of a system.

3. How is the radial distribution function calculated?

The radial distribution function is typically calculated by dividing the number of particles at a certain distance from the reference particle by the total number of particles in the system, and then normalizing it by the volume and density of the system.

4. What are the limitations of using the radial distribution function?

The radial distribution function assumes that the particles in a system are spherical and non-interacting, which may not always be the case. Additionally, it does not take into account the spatial distribution of particles, only their distance from a reference particle.

5. How can the radial distribution function be experimentally determined?

The radial distribution function can be determined experimentally using techniques such as X-ray or neutron scattering, which measure the scattering intensity of particles in a system at different distances from a reference particle. This scattering data can then be used to calculate the radial distribution function.

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