6.5
The spatial distribution of probability density
How to "look at" an orbital correctly: probability density and the radial distribution are two different things — the 1s density peaks on the nucleus, yet the most probable radius is a₀; the angular shapes are orientation distributions of probability, not racetracks for the electron. The most widespread misreadings, dismantled one by one.
Recommended first
After this section you should be able to
- Distinguish the probability density |ψ|² from the radial distribution function P(r) = r²|R|², and explain where the r² factor comes from
- Compute the most probable radius and the mean radius, and explain why they differ
- Use the node-counting rules (n−l−1 radial, l angular) to read off the structure of any orbital
- Identify three common misreadings of "electron cloud" pictures and state the correct reading of each
The last section ended with a provocative hint: “the place where peaks is the radius where the electron is most likely to be found” — that statement is wrong. This section explains exactly where it goes wrong. This is not hair-splitting: the orbital pictures in chemistry books and the “electron clouds” of popular science are among the most misread images in all of quantum mechanics, and reading them right takes nothing more than telling two questions apart.
A concrete contradiction
Put the ground state on the table. Two sections ago we found
This is a monotonically decreasing function — the probability density is largest at , dead centre on the nucleus.
Yet a numerical exercise in that same section found the probability of the electron being inside the sphere of radius to be only 32%, and every textbook says “the electron is most likely to be found one Bohr radius from the nucleus”. Density peaks on the nucleus, most probable radius at — a contradiction?
No. These are two different questions:
- Question A: “Near which point is the probability density of finding the electron, per small volume, the largest?” — answered by : at the centre.
- Question B: “What is the electron’s most likely distance from the nucleus?” — this asks which spherical shell holds the most total probability, and a different function answers it.
The radial distribution function: where the r² factor comes frombasic~5 min
Step 1: write the probability that the nuclear distance lies between and . That means integrating the probability density over the whole shell:
The angular integral equals 1 (spherical harmonics are normalised), so
is called the radial distribution function (in plain words: the probability distribution of the electron’s distance from the nucleus).
Step 2: see where the comes from. A shell of radius and thickness has volume — bigger radius, bigger shell. Distance distribution = density × shell volume, a competition between density and geometric weight:
- small : the density is high, but the shell is pitifully small (volume as ), so ;
- large : the shell is big, but the density dies exponentially, so ;
- somewhere in between, a peak.
Step 3: find the ground state’s peak. ; set the derivative to zero:
The most probable radius is exactly the Bohr radius. The afterimage of Bohr’s circular orbit at in the true theory is the peak of this distribution curve.
Step 4: compute the mean while we’re at it. Peak is not mean: the distribution has a tail toward large , dragging the average rightward:
Peak at , mean , median about — three “typical radii”, three different numbers. Before quoting one, say which you mean.
Nodes: an orbital’s fingerprint
Sketching the first few in words (all in units of ; peak positions from setting derivatives to zero — check them yourself):
| Orbital | Radial nodes | Shape of | Main peak | |
|---|---|---|---|---|
| 1s | 0 | single peak | ||
| 2s | 1 | small peak — zero (at ) — main peak | ||
| 2p | 0 | single peak | ||
| 3s | 2 | peak — zero — peak — zero — main peak | ||
| 3d | 0 | single peak |
The patterns leap out:
- Radial node count = (the series termination order, a product of section 6.3): there , the probability of that exact nuclear distance is zero, and the distribution is sliced into concentric shells;
- Angular node count = : has nodal surfaces (planes or cones) — the “waist” of a p orbital and the “cross” of a d orbital are angular nodal surfaces;
- the two add up to exactly — reconnecting with the old one-dimensional rule that “the -th excited bound state has nodes”.
One more look at the angular part. does not depend on (the phase disappears on taking the modulus), so the electron cloud of any strict eigenstate is rotationally symmetric about the axis: is a dumbbell along , and is a doughnut around the equator.
The picture
Then where do the mutually perpendicular , , of the chemistry books come from?
They are superpositions. The two doughnuts share an energy ( degeneracy), and their real-coefficient combinations
are equally legitimate stationary states of the same energy, shaped precisely as dumbbells along and . Chemists prefer them because they are real functions with a strong sense of direction, convenient for discussing bonding. Physicists doing magnetic-field problems insist on the eigenstates, because those are the eigenfunctions of . Two bases describing the same degenerate subspace — neither is more “real” than the other.
The mathematics
The quick node-counting drill, using 3p () as the example:
- radial nodes: — one spherical surface;
- angular nodes: — the equatorial plane;
- picture: a dumbbell along , each lobe further sliced into an inner and outer segment by the spherical nodal surface.
Or 3d (): 0 radial nodes, 2 angular nodal surfaces — for these are two cones (the shape with its “waist ring”), while real combinations like are four-leaf clovers carved out by two perpendicular planes.
For any orbital picture: count the nodes first, then determine the shape — and no fancy colour scheme will fool you.
The three commonest misreadings
One day you will spin all these shapes around with your own hands — the 3D orbital visualiser for this chapter is on the roadmap. For now, the node-counting drill plus the fact-check list above are enough to read any textbook figure correctly.
Calibrating your sense of scale
Close with real numbers. The ground-state hydrogen “90% probability radius” is about nm — this is where the chemical size of atoms (about 0.1 nm) comes from — while the nuclear radius is about nm: one part in of the atom’s volume is nucleus; all the rest is the probability cloud’s thin frontier. Blow the nucleus up to a marble at the centre of a stadium, and the “electron” at the most probable radius sits in the stands — but remember, it still has a 32% chance of being anywhere between the marble and the stands, including inside the marble itself. That last point is not rhetoric: the electron’s small but non-zero probability of being inside the nucleus is the precondition for electron capture (a nucleus absorbing an inner electron), and the physical root of the next section’s Darwin term.
Key formulas
Radial distribution function
r² is the shell-volume weight; answers "what is the most likely nuclear distance"
Three ground-state radii
Peak = Bohr radius; yet the density maximum is at r = 0
Mean radius
Size ∝ n²; within one n, larger l sits slightly closer in on average
Node counting
Reading any orbital picture starts with counting nodes
Self-check4 questions
- 1.
In ground-state hydrogen, where is the maximum of the probability density |ψ|², and where is the most probable nuclear distance?
- 2.
How many radial nodes and how many angular nodal surfaces does the 3p orbital have?
- 3.
Which statements about the chemistry books' p_x and p_y orbitals are correct? (Select all that apply.)
Select all that apply
- 4.
Find the most probable nuclear distance for the 2p orbital, in nm. (P(r) ∝ r⁴e^{−r/a}, a₀ = 0.0529 nm)
nm1% relative tolerance
What comes next
The Coulomb-model hydrogen atom has now been squeezed dry: levels, degeneracies, lines, shapes — all in hand. But turn the spectrometer’s resolution up one more notch and the story turns a page: back in 1887 Michelson found that is not one line at all, but two, about 0.016 nm apart. Coulomb potential plus Schrödinger equation cannot produce that splitting. The three missing pieces — relativity, spin–orbit coupling, and a correction with no classical counterpart — are collectively called fine structure, and they enter next.
Section 47 of 106 · use ← → to turn the page