Overlap decides
An orbital is a one-electron wavefunction. Bring two atoms together and their orbitals do not stay separate. The states of the pair are combinations of the atomic orbitals, and how strongly they combine is set by a single number.
The overlap integral: the product of the two wavefunctions, integrated over all space.
What it measures
is large when the two functions are substantial in the same region of space and small when they are not. It falls off as the atoms are separated, because the region where both are appreciable shrinks.
For two 1s orbitals in atomic units it has a closed form,
which is 0.75 at 1.4 bohr, 0.59 at 2, and 0.19 at 4. That closed form is worth having for a reason beyond elegance: it lets the numerical integrator used everywhere else on this site be checked rather than trusted.
Why the sign matters
Two orbitals combine in two ways: added and subtracted. Both combinations exist, and they differ.
Where the two functions have the same sign, adding them makes the wavefunction larger between the nuclei, so density builds there. An electron in that region is attracted to both nuclei at once, and the combination is lower in energy than either atomic orbital. That is a bonding combination.
Where they have opposite signs, the sum cancels between the nuclei and a node appears there. Density is expelled from exactly the region where it would have been most useful, and the combination is higher in energy. That is antibonding.
So the sign of the wavefunction, which is not itself observable, decides which combination is which — and that is why every lobe on this site is coloured by sign rather than drawn as a bare shape.
Sigma and pi
The two thread systems of bonding, named for how they look along the internuclear axis.
A sigma interaction is cylindrically symmetric about the axis: two s orbitals, or two p orbitals pointing at each other end-on. Looking down the bond, nothing changes as the view rotates.
A pi interaction has a node containing the axis: two p orbitals side by side, overlapping above and below. Looking down the bond, the sign alternates.
The names come from the Greek letters matching s and p, because the symmetry about the axis is the same as that of an s or p orbital about a nucleus.
Which is stronger
The usual claim is that sigma bonds are stronger than pi bonds, and it is true at real bond lengths for a reason worth understanding rather than memorising.
A sigma interaction has the orbitals pointing directly at each other, so the region of maximum density of each is where the other is largest. A pi interaction has them side by side, so the maxima are displaced from one another and the useful overlap is smaller.
But that is a statement about the geometry at a particular separation, not a law. At very short separations the ordering can reverse, because the sigma lobes have passed through each other while the pi lobes are still approaching. Real molecules sit where the total energy is minimised, and there sigma wins.
Overlap and bond strength
A caution, because the connection is looser than it is usually presented.
Larger overlap does mean stronger interaction in the sense of a larger splitting between the two combinations. It does not straightforwardly mean a stronger bond, because a bond’s strength depends on which combinations are occupied, on the energies of the parent orbitals, and on the nuclear repulsion that grows as the atoms approach.
In particular, overlap keeps growing as two atoms are pushed together, and bonds do not keep getting stronger. What stops them is that the antibonding combination rises faster than the bonding one falls, and that the nuclei repel. Overlap is one term in a balance, not the answer.
Energy matching, the second condition
Overlap is necessary and not sufficient. Two orbitals also have to be close in energy to interact strongly.
The reason is that the mixing coefficient goes roughly as the overlap divided by the energy difference. Two orbitals with large overlap and very different energies barely mix: the low one stays low, the high one stays high, and the combinations are nearly the parents.
That is why a hydrogen 1s interacts strongly with a carbon 2p and hardly at all with a carbon 1s, despite the carbon 1s being right there. The core orbital is far too low in energy to be perturbed.
The third condition is where symmetry can forbid an interaction outright. So a strong interaction needs three things: appreciable overlap, comparable energy, and the right symmetry. The third is absolute — where symmetry forbids it, no amount of the other two helps.
How the integral is computed here
Every overlap on this site is evaluated numerically on a Gauss–Legendre product grid, and validated where a closed form exists.
The check is worth describing because it is the kind that catches real errors. The numerical result for two 1s orbitals is compared against the exact expression at five separations from 0.8 to 4 bohr, and the worst difference is about six parts in a hundred thousand. That establishes the quadrature is adequate before it is used on the cases with no closed form.
The alternative — trusting a numerical integral because it looks reasonable — is exactly how a plausible wrong number gets into a figure. An overlap of 0.7 and an overlap of 0.75 look equally sensible on a page.
Where the model stops
Three limits, and the first is the standing one.
These are hydrogenic orbitals, and a many-electron atom has none that are exact. Real atoms’ valence orbitals are contracted by the nuclear charge and distorted by the other electrons, so the overlaps here have the right form and are not the numbers for any particular element.
Overlap is a one-electron quantity. It says how two basis functions relate; it does not include electron–electron repulsion, which is a large part of what determines a real bond energy.
Two orbitals is a simplification. A real molecule mixes many orbitals at once, and the two-orbital picture is the first term of something larger. It is a very good first term.
Where the idea came from
The overlap integral in this role is Mulliken’s and Hund’s, in the late 1920s, as molecular orbital theory took shape. The competing valence bond approach of Heitler, London and Pauling used overlap too, in a different formal role, and the two descriptions turn out to be closely related.
Pauling’s The Nature of the Chemical Bond (1939) made overlap a household idea among chemists, including the principle of maximum overlap: bonds form in the directions that maximise it. That principle is a good heuristic and it is not a theorem, for the reasons in the section above — overlap is one term in a balance.
Reading a curve
The overlap-against-separation plot repays a closer look, because three separate facts are visible in it.
Overlap falls monotonically with distance, roughly exponentially, because both wavefunctions decay exponentially and their product decays about twice as fast.
Compact orbitals give short-range interactions. A 1s orbital of hydrogen has an appreciable overlap only within a few bohr; a 3d orbital reaches much further. That is the geometric reason core orbitals do not participate in bonding — quite apart from their energies, they are too small to reach a neighbouring atom.
The pi curve crosses the sigma one. At very small separations the side-by-side arrangement can overlap more than the end-on one, because the end-on lobes have already passed through each other. At real bond distances the ordering is the familiar one, and the crossing is a reminder that “sigma is stronger than pi” is a statement about a range rather than a law.
None of that required a calculation of a molecule. It is geometry of the atomic functions, and it is the part of bonding that can be understood before any energy is evaluated.
Where the ladder goes next
The case where the integral vanishes for a reason is exactly zero, which is the sharpest statement in this field.
The two frameworks that use overlap differently are molecular orbital and valence bond theory.
What the pictures here cannot show. The overlap figures draw a plane through both nuclei, and the integral is over all space — so what is shown is a slice of what is being computed. The number printed is the full three-dimensional integral, which no two-dimensional drawing can display.