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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.

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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 ψ2\lvert\psi\rvert^2 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

ψ1002=1πa3e2r/a(6.5.1)\lvert\psi_{100}\rvert^2=\frac{1}{\pi a^3}\,\ee^{-2r/a}\tag{6.5.1}

This is a monotonically decreasing function — the probability density is largest at r=0r=0, 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 a0a_0 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 a0a_0 — 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 ψ2\lvert\psi\rvert^2: at the centre.
  • Question B: “What is the electron’s most likely distance rr from the nucleus?” — this asks which spherical shell holds the most total probability, and a different function answers it.

Nodes: an orbital’s fingerprint

Sketching the first few P(r)P(r) in words (all rr in units of aa; peak positions from setting derivatives to zero — check them yourself):

OrbitalRadial nodes nl1n-l-1Shape of P(r)P(r)Main peakr\langle r\rangle
1s0single peak1.0a1.0\,a1.5a1.5\,a
2s1small peak — zero (at r=2ar=2a) — main peak5.24a5.24\,a6a6\,a
2p0single peak4a4\,a5a5\,a
3s2peak — zero — peak — zero — main peak13.1a13.1\,a13.5a13.5\,a
3d0single peak9a9\,a10.5a10.5\,a

The patterns leap out:

  • Radial node count = nl1n-l-1 (the series termination order, a product of section 6.3): there Rnl=0R_{nl}=0, the probability of that exact nuclear distance is zero, and the distribution is sliced into concentric shells;
  • Angular node count = ll: YlmY_l^m has ll 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 n1n-1 — reconnecting with the old one-dimensional rule that “the kk-th excited bound state has kk nodes”.

One more look at the angular part. Ylm2\lvert Y_l^m\rvert^2 does not depend on ϕ\phi (the phase eimϕ\ee^{\ii m\phi} disappears on taking the modulus), so the electron cloud of any strict (n,l,m)(n,l,m) eigenstate is rotationally symmetric about the zz axis: Y102cos2θ\lvert Y_1^0\rvert^2\propto\cos^2\theta is a dumbbell along zz, and Y1±12sin2θ\lvert Y_1^{\pm1}\rvert^2\propto\sin^2\theta is a doughnut around the equator.

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 2.7a00.142.7a_0\approx0.14 nm — this is where the chemical size of atoms (about 0.1 nm) comes from — while the nuclear radius is about 10610^{-6} nm: one part in 101510^{15} 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.

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 Hα\mathrm H\alpha 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.

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