The radial distribution function is a concept used in quantum mechanics to describe the probability of finding an electron at a specific distance from the nucleus in an atom.
The radial distribution function, often denoted as $P(r)$, depends primarily on three factors:
Mathematically, the radial distribution function is related to the square of the radial wave function, $R_{nl}(r)$, and the surface area of a thin spherical shell at radius $r$, which is $4 \pi r^2$. So, $P(r) = 4 \pi r^2 |R_{nl}(r)|^2$. This formula clearly shows the dependence on $r$, $n$, and $l$.
The radial distribution function is independent of the orientation of the orbital. The orientation of an atomic orbital in space is determined by the magnetic quantum number, $m_l$. The radial distribution function represents a probability averaged over all possible orientations. Since the radial part of the wave function ($R_{nl}(r)$) does not depend on $m_l$, the resulting radial distribution function $P(r)$ also does not depend on $m_l$.
In simpler terms, while the shape ($l$) and energy level ($n$) dictate how the electron's probability is spread out radially, the specific direction the orbital points in space does not change this radial probability distribution.
| Factor | Dependence on Radial Distribution Function |
|---|---|
| Distance from the nucleus ($r$) | Yes (Directly) |
| Principal quantum number ($n$) | Yes |
| Azimuthal quantum number ($l$) | Yes |
| Orientation of orbital ($m_l$) | No |
Therefore, the radial distribution function does NOT depend upon the orientation of the orbital.
Which of the following statements regarding electron configuration of atoms is/are correct?
1. Principal quantum number = 1, K shell, example : He
2. Principal quantum number = 3, M shell, example : Ne
3. Principal quantum number = 2, L shell, example : F
4. Principal quantum number = 3, K shell, example : Si
Select the answer using the code given below :
Which one of the following molecular orbitals will be formed by combination of the two $2p$ orbitals as shown below ?
