Superposition of States
A trapped electron rarely sits in one clean energy eigenstate. More often it exists as a definite mixture of several. That mixture is not a metaphor. It is an exact vector sum in Hilbert space. Superposition is the statement that any physically allowed wavefunction of a system can be written as a linear combination of that system's Stationary States and Energy eigenfunctions. The coefficients are complex, and they are themselves computable, measurable-in-principle numbers. This single fact — completeness plus Orthonormality of Eigenfunctions — converts an abstract eigenvalue problem into a working predictive theory. That theory covers spectroscopy, wavepacket dynamics, and chemical bonding. The payoff is enormous. Once you know how to expand an arbitrary state in the eigenbasis of some Hermitian operator, you can extract every measurable prediction the theory offers. These include expectation values, transition probabilities, time evolution, and the statistical spread the Uncertainty Principle quantifies. Molecular vibrational overtones, NMR coherences, and photochemical wavepackets are all superpositions in exactly this sense. They are coherent, calculable sums of stationary states. Their coefficients carry both magnitude (probability) and phase (interference). This article builds the machinery from the ground up. It shows how the expansion is derived using orthonormality. It explains what the expansion coefficients mean physically (probability amplitudes, not probabilities). It shows how superpositions evolve in time, even though each eigenstate individually just accumulates a phase. It also explains why a superposition is fundamentally different from a classical statistical mixture. Two full worked derivations show the Fourier-like projection trick. They also show the resulting time evolution of a two-level superposition. Three worked examples take this from a textbook particle-in-a-box problem to a real vibrational/rotational coherence calculation. By the end you will be able to write down any wavefunction as . You will be able to compute the by projection, and interpret correctly. You will also be able to predict how relative phases between terms make a superposition oscillate. This is the direct entry point into the Measurement Postulate and quantum dynamics generally.
- Any admissible state can be expanded exactly as in the complete, orthonormal eigenbasis of a Hermitian operator.
- The coefficient is obtained by projection: , using orthonormality to isolate one term at a time.
- is the probability of measuring eigenvalue ; normalization forces .
- Superpositions evolve in time because each carries its own phase factor , so relative phases between terms drift and create oscillating observables.
- A superposition is not a classical mixture: cross terms (interference) appear in expectation values of operators that do not commute with the one whose eigenbasis is used.
- Key idea: expansion coefficients are complex probability amplitudes whose squared magnitudes give measurement probabilities, while their relative phases encode coherent time-dependent behavior with no classical counterpart.
Where this lives today
Superposition of stationary states is not a textbook abstraction; it is the operational description behind entire experimental fields. In femtosecond pump–probe spectroscopy, a short laser pulse creates exactly the kind of vibrational wavepacket worked out in Example 2 — a coherent superposition of vibrational eigenstates on an electronically excited potential energy surface — and the resulting oscillation of the transient absorption signal at the vibrational beat frequency is a direct, real-time observation of the terms derived above. This underlies time-resolved studies of photosynthetic energy transfer, photoisomerization (e.g., the retinal chromophore in vision), and coherent control schemes that use shaped laser pulses to steer chemical reactions by engineering the relative phases between populated states. In NMR and EPR spectroscopy, superpositions of nuclear or electron spin eigenstates ("coherences") are the entire basis of pulsed multidimensional experiments: a pulse creates precisely a superposition of spin-up and spin-down eigenstates, whose time evolution at the Larmor frequency is detected as the free-induction decay signal, then Fourier-transformed back into an NMR spectrum. Rotational wavepackets — superpositions of molecular rotational eigenstates created by short laser pulses — are used to align and orient molecules in gas-phase reaction dynamics experiments and in strong-field physics for high-harmonic generation. Quantum computing platforms built from trapped ions or superconducting qubits manipulate exactly this same superposition-coefficient machinery, engineering states and tracking their relative phase as the physical resource for quantum algorithms. Even the simple particle-in-a-box superposition of this article is the pedagogical seed for understanding electron wavepacket dynamics in quantum dots and conjugated polyene chromophores used in dye chemistry.
Ask the tutor: How does the relative phase between superposition coefficients determine whether two vibrational wavepackets interfere constructively or destructively when they later overlap?
The physical picture
Consider an electron confined to a one-dimensional box, with orthonormal energy eigenfunctions . Suppose the electron is prepared, say by an ultrafast excitation pulse, in some wavefunction that is not one of these sine functions — perhaps a wavepacket localized near one wall. Quantum mechanics insists this is nevertheless expressible exactly as an infinite sum . The eigenfunctions form a complete orthonormal set, exactly as sines and cosines do in a Fourier series, and any well-behaved function on the same domain can be built from them. The crucial conceptual leap is that being "in superposition" does not mean the electron is secretly in one of the and we simply don't know which — that would be a classical statistical mixture, describable by a probability distribution alone. Instead is a genuinely new quantum state, a coherent sum in which the complex phases of the matter physically. Interference between terms shows up whenever you compute the expectation value of an operator that doesn't share the eigenbasis (such as position, in the energy eigenbasis), and it shows up dramatically once you let the state evolve in time, since each term acquires its own energy-dependent phase. The first figure below shows a two-level superposition of box eigenfunctions and how its probability density is not simply the average of the two individual densities — cross terms appear. The second figure shows the associated time evolution: the same superposition, evaluated at different times, sloshes back and forth in space at the Bohr frequency , a direct signature of coherence.
The core ideas
The mathematical backbone is completeness combined with orthonormality. If are the (orthonormal, complete) eigenfunctions of a Hermitian operator with eigenvalues ,
where: is an arbitrary physically acceptable wavefunction on the same domain, are eigenfunctions of satisfying , and are complex expansion coefficients. Reading: this says every legitimate state is reachable from the eigenbasis of any observable — the eigenfunctions of a Hermitian operator span the whole space of admissible wavefunctions, so nothing is left out. The coefficients are extracted by projection, exploiting orthonormality :
where: the integral runs over the full domain of the coordinate, is the complex conjugate of the -th eigenfunction, and is Dirac bracket notation for the same overlap integral. Reading: measures "how much is contained in ," exactly as a Fourier coefficient measures how much of a given sine wave is present in a signal. Normalization of forces the coefficients to satisfy a sum rule:
where: is the modulus-squared of each (generally complex) coefficient. Reading: this is the statement that the probabilities of all possible measurement outcomes must add to one — it is the Pythagorean theorem of Hilbert space, since the are orthogonal unit vectors. If is chosen to be the Hamiltonian , with , then the full time-dependent wavefunction built from this superposition evolves as
where: are the same time-independent coefficients fixed at , and each term picks up its own oscillating phase factor governed by its energy . Reading: individual stationary states just spin in phase and never change their probability density; superpositions of different energies do change in time, because the relative phase between terms, , sweeps through a full cycle at the Bohr frequency . The expectation value of any operator in a superposition state picks up interference (cross) terms between different basis components:
where: the double sum includes diagonal terms (weighted by , the "classical" probabilities) and off-diagonal terms (the coherences, weighted by ). Reading: it is precisely these off-diagonal cross terms that make a superposition fundamentally richer than a statistical mixture — they vanish identically for a classical ensemble but survive here, encoding genuine quantum interference.
Goal. Show rigorously that if with orthonormal, then , and confirm the normalization sum rule follows.
Step 1 — Write the expansion. Assume completeness of (established for eigenfunctions of Hermitian operators acting on a suitable domain) so that any acceptable can be written
This is an ansatz at this stage — a claim that such coefficients exist — and the next steps show how to find them.
Step 2 — Project onto a single basis function. Multiply both sides by and integrate over the whole domain:
Because the sum is (assumed) uniformly convergent enough to interchange sum and integral, move the integral inside:
Step 3 — Apply orthonormality. The eigenfunctions satisfy (Kronecker delta), which is exactly zero unless , in which case it equals one. Every term in the sum over vanishes except the single term :
This is the projection formula: . Orthonormality is what lets a sum with infinitely many terms collapse to isolate exactly one unknown — the same trick used to extract Fourier coefficients.
Step 4 — Confirm the normalization sum rule. Require (physical states are normalized). Substitute the expansion twice:
Orthonormality collapses the double sum to its diagonal:
Conclusion. The coefficients are uniquely fixed by projection, , and normalization of is equivalent to — the probabilistic sum rule that lets be interpreted as a measurement probability.
Go deeper · Derivation B · 1 minTime evolution of a two-state superposition and the Bohr-frequency oscillation of ⟨x⟩
Goal. Starting from a superposition of two energy eigenstates at , derive the explicit time-dependent expectation value of position and show it oscillates at frequency .
Step 1 — Write down the initial superposition. Let the system be prepared at in
with orthonormal, non-degenerate () energy eigenstates, and normalization requiring .
Step 2 — Propagate each stationary state independently. Because are eigenfunctions of , the time-dependent Schrödinger equation is solved term by term, each acquiring its own phase factor:
No new coefficients appear; the fixed at remain the same for all time. Only the phases evolve.
Step 3 — Compute the position expectation value. By definition,
Expand the integrand into four terms (two diagonal, two cross):
(Here are taken real, as is standard for bound 1-D eigenfunctions like particle-in-a-box states, so , etc.)
Step 4 — Integrate against x and collect terms. Define the real diagonal matrix elements , , and the real off-diagonal matrix element . Then
with .
Step 5 — Simplify the oscillating term using the complex phase of the coefficients. Write , . The bracketed term becomes
So finally,
with the relative phase of the two coefficients.
Conclusion. The expectation value oscillates sinusoidally at exactly the Bohr frequency , with amplitude set by the off-diagonal matrix element and the product , and with a phase offset set by the relative phase of the coefficients. A classical mixture — probability of being in state 1, of being in state 2, with no phase relationship — would give only the time-independent first two terms; the oscillating cross term is the fingerprint of coherent superposition.
Worked examples
Example 1 — Foundational: projecting a triangular wavefunction onto particle-in-a-box eigenstates. Take an electron in a 1-D box of length , with energy eigenfunctions and eigenvalues . Suppose at the (normalized) wavefunction is the simple asymmetric superposition
chosen with unequal weights (0.36 and 0.64, deliberately non-round and asymmetric so the arithmetic can't hide a wrong sign or a swapped index) and zero relative phase for now. Check normalization first. . Good — this is a properly normalized state, consistent with the sum rule derived above. Interpretation of coefficients. A measurement of energy on this state yields with probability (36%) and with probability (64%); no other energy is ever obtained, because . Expectation value of energy. Using , so and :
Note here is a simple weighted average — because is diagonal in its own eigenbasis, there are no cross terms in , only in operators (like or ) that mix different . Time evolution. At later times,
The probability density contains a cross term oscillating at , causing the electron's spatial distribution to slosh periodically between favoring the left/right lobes — exactly as in the second figure, but now for the pair rather than . Limiting case. If instead and (all weight on one eigenstate), reduces to a pure stationary state: becomes time-independent, and all oscillatory cross terms vanish identically, confirming that superposition dynamics require at least two populated eigenstates with different energies.
Example 2 — Applied: a vibrational wavepacket coefficient from a Franck–Condon-like overlap. In ultrafast spectroscopy, a short laser pulse promotes a molecule's nuclear wavefunction from a ground-state vibrational level onto an excited electronic potential energy surface, creating a vibrational wavepacket — literally a superposition of the excited-state harmonic oscillator eigenfunctions . Suppose (in a simplified model) the transferred nuclear wavefunction on the excited surface is well approximated by a truncated three-term expansion,
and a Franck–Condon overlap calculation (projection of the shifted ground-state Gaussian onto the excited harmonic-oscillator eigenfunctions) gives unnormalized coefficients , , (deliberately unequal, non-special values representing a modest displacement of the excited-state potential minimum). Step 1: normalize. Compute the sum of squares:
Divide each by to enforce :
Check: (rounding). This normalization step is not bookkeeping fluff — it is what makes a genuine probability, per the sum rule derived above. Step 2: read off populations. A measurement of vibrational quantum number on the excited surface would give with probability , with probability , with probability — the wavepacket is dominated by character, consistent with a moderately (not extremely) displaced excited-state minimum. Step 3: predict the beat pattern. The wavepacket subsequently oscillates back and forth in (this is the vibrational coherence probed in pump–probe spectroscopy) with the dominant beat frequency set by adjacent-level spacing, for a harmonic oscillator (equally spaced levels), plus a weaker second harmonic from the coherence at . This is precisely the physical origin of the vibrational quantum beats recorded in femtosecond transient-absorption experiments — a direct experimental readout of superposition coefficients and their relative phases.
Example 3 — Exam/competition level: extracting coefficients from a piecewise wavefunction and predicting a measurement outcome. A particle in an infinite box of length is prepared at in the (normalized, real) wavefunction
using the box eigenfunctions , where is a normalization constant to be found, chosen with unequal integer coefficients (3 and ) and a non-adjacent pair of quantum numbers (1 and 4) to keep the arithmetic asymmetric and the answer unambiguous. Step 1: find by orthonormality. Since are orthonormal,
using to kill the cross terms. So
Step 2: identify the true coefficients. Comparing to ,
Check the sum rule: . Exactly one, as required — note that the negative sign on contributes to exactly as a positive value would, since only the magnitude enters the probability. Step 3: predict a single energy measurement. . Numerically, with , , :
So (0.3762 eV) and (6.018 eV). A single measurement of energy gives with probability or with probability — never any intermediate value. Step 4: expectation value and its limiting check.
Limiting-case check: if the coefficient of were sent to zero, forces (via the sum rule) , recovering a pure stationary state with exactly and zero variance — the superposition machinery degenerates smoothly to the single-eigenstate limit, as it must, since directly foreshadowing the energy–time uncertainty relation for superposed states with nonzero energy spread.
Limiting cases, scope & common traps
| Situation | What happens to the superposition picture |
|---|---|
| Only one | Reduces exactly to a pure stationary state; no time dependence in , zero energy variance |
| Degenerate eigenvalues () | Any linear combination of the degenerate pair is itself a stationary state; no Bohr-frequency beating between them |
| Coefficients real, all same sign | Superposition still shows spatial interference in , but with a fixed phase reference (real ) |
| Very large basis / continuum limit | Sum becomes an integral — the wavepacket limit, governed by Fourier analysis |
| Coefficients time-independent under free evolution | Only true if are Hamiltonian eigenstates; expanding in eigenstates of some other observable gives that generally do evolve |
| Two eigenstates with equal | Maximizes the interference/cross-term amplitude derived above — this is the "maximal coherence" limit |
The chemist behind it
The mathematics of expanding an arbitrary function in an orthonormal basis predates quantum mechanics by a century — it is Fourier's method, generalized. But the physical interpretation of expansion coefficients as probability amplitudes for discrete quantum states is due above all to Max Born, who in 1926 proposed that (and, by direct extension, ) gives a probability density/probability, resolving the ambiguity of what Schrödinger's wavefunction actually represented. Born's insight, developed while working out scattering theory using Schrödinger's newly published wave mechanics, turned an elegant differential equation into a genuinely predictive statistical theory — and it is this statistical reading of expansion coefficients that underlies every application discussed here, from vibrational wavepackets to NMR coherences.
Origins · 1 minMax Born and how this was discovered
Born was a leading figure of the Göttingen school alongside Heisenberg and Jordan, co-developing matrix mechanics before proposing the probabilistic interpretation of the wavefunction that made superposition coefficients physically meaningful. His 1926 papers on collision theory established that gives probability, work for which he received the Nobel Prize in Physics in 1954 — decades after the original insight, reflecting how contested the interpretation initially was.
Why must the eigenfunctions be orthonormal for the expansion trick to work?
Orthonormality is what allows the projection integral to isolate exactly one coefficient. If the basis functions were not orthogonal, projecting onto would pick up contamination from every other term in the sum, and you'd need to solve a full linear system (inverting an overlap matrix) rather than reading off directly. Orthonormality reduces that overlap matrix to the identity, so becomes an exact, self-contained formula rather than an implicit equation.
Is every possible wavefunction expressible in a given eigenbasis, or only special ones?
For a Hermitian operator on the relevant domain (with appropriate boundary conditions), the eigenfunctions form a complete set, meaning any function satisfying the same boundary conditions and basic regularity requirements (square-integrable, continuous, etc.) can be expanded. This completeness is a mathematical theorem for the standard operators of chemistry — particle-in-a-box Hamiltonians, harmonic oscillator Hamiltonians, angular momentum operators — so in practice, yes, essentially any physically reasonable state qualifies.
Does the superposition itself change over time, or only its coefficients?
The coefficients stay fixed if the basis is chosen as eigenstates of the Hamiltonian and there is no external time-dependent perturbation; what evolves is each term's phase factor . If instead you expand in the eigenbasis of some other operator (like position), the effective coefficients in that basis generally do change with time, because that basis doesn't diagonalize the generator of time evolution.
Why do cross terms vanish when computing ⟨Ĥ⟩ but not when computing ⟨x̂⟩?
Cross terms survive only when for . If and are 's own eigenfunctions, then and orthogonality forces , killing all off-diagonal terms. Position does not commute with in general, so its matrix is not diagonal in the energy eigenbasis, and the cross terms survive — this is exactly why oscillates in time while does not.
How does this connect to the measurement postulate?
Superposition sets up the before: a state written as with definite, calculable coefficients. The Measurement Postulate specifies the after: measuring the corresponding observable yields one eigenvalue with probability , and immediately after the measurement the state collapses to itself. Superposition supplies the amplitudes; the measurement postulate tells you what to do with them statistically and describes the discontinuous change of state upon measurement.
Can a superposition have more terms than the number of eigenstates observed experimentally?
Yes — in principle the expansion can (and generally does) include infinitely many terms, even if a given experiment only resolves a few dominant ones. Coefficients for very high-energy or very distant eigenstates are often numerically negligible for smooth, low-energy wavepackets, which is why truncated expansions (like the three-term vibrational example above) are excellent practical approximations even though the exact expansion is infinite.
Is the relative phase between coefficients an observable quantity by itself?
Not directly as a single number you can "read off," but its physical consequences are absolutely observable: it sets the timing/phase of oscillations in expectation values like , as derived above, and it determines interference patterns and beat structures seen in spectroscopy. Two states with the same populations but different relative phases behave differently under time evolution and under measurement of non-commuting observables, so the phase is physically real even though it isn't a single measurable "eigenvalue."