Hermite Polynomials and Oscillator Eigenfunctions
Solve the harmonic oscillator once and you meet them; solve almost anything else in physics and you meet them again. The Hermite polynomials are the polynomial hearts of the oscillator's stationary states — — and that "polynomial times Gaussian" structure is one of the most reusable objects in science: the transverse modes of laser beams, the photon-number states of quantum optics, the vibrations of every diatomic molecule, the workhorse basis of numerical quantum chemistry. You arrive prepared. The Quantum Harmonic Oscillator: Analytic Solution already forced the series to terminate and handed you ; Ladder Operators and the Algebraic Oscillator produced the same states without a differential equation in sight. What neither did is study the polynomials themselves — and they have a private life worth knowing. One compact formula (Rodrigues) generates them all; one innocent exponential (the generating function) encodes the family; two recurrences replace every integral you will ever be tempted to grind through; and one orthogonality statement is the engine behind normalization, selection rules and Franck–Condon factors alike. This article is the toolbox: where the come from, the four identities that do all the work, and why a spectroscopist and a laser engineer are secretly using the same table of polynomials.
- The oscillator eigenfunctions factor as with : a universal Gaussian envelope times a degree- Hermite polynomial.
- One formula makes them all — Rodrigues: ; equivalently, the Taylor coefficients of .
- Two recurrences replace almost every calculation: and .
- Orthogonality with Gaussian weight, , fixes the normalization and powers every matrix element.
- has exactly real zeros — the nodes of the -th excited state — and parity .
- Key idea: strip the universal Gaussian from the oscillator's Schrödinger equation and the leftover polynomial obeys the Hermite equation — demanding it terminate is what quantizes the energy.
Strip the universal asymptotic Gaussian from the oscillator's Schrödinger equation; the leftover polynomial obeys the Hermite equation, and demanding it terminate (so the wavefunction stays normalizable) quantizes the energy as .
Where this lives today
Point a beam profiler at a slightly misaligned laser and you will photograph Hermite polynomials: the transverse modes of a stable resonator are Hermite-Gaussians, labelled TEM by their node counts — the gallery above, glowing on a screen. In quantum optics the connection runs deeper: a field mode is an oscillator, its photon-number (Fock) states are exactly the , and homodyne tomography reconstructs from laboratory data. And Hermite-Gaussians power "spectral" numerics: quantum chemists diagonalize anharmonic Hamiltonians in the basis — equation (7) doing production work — with Gauss–Hermite quadrature (nodes at the zeros of ) finishing the integrals to machine precision.
The physical picture
Think of the Gaussian as the shape of the room the particle lives in: every oscillator bound state, however excited, dies off this same way at large distance, because out there the potential dominates and dictates the decay. The Hermite polynomial is the standing-wave pattern painted inside that room: has exactly sign changes, carving exactly nodes — the fingerprint of the -th state. The polynomial wiggles; the Gaussian confines; the product is a bound state.
The division of labour is the point: the oscillator's family of "inside patterns" closes under differentiation and under multiplication by . That closure is what the recurrence relations express, and it is why the oscillator is the one problem whose every matrix element can be written down without doing a single new integral.
Each state adds one node — more sign changes mean more curvature, and curvature is kinetic energy: that is why the states stack up. Parity alternates strictly: the potential is symmetric, so (as Parity Symmetry of One-Dimensional Eigenstates will formalize) every bound state is even or odd, and the family delivers exactly that: .
The family and its birth certificates
First, the natural coordinate. The oscillator owns one length, built from its only three constants; measuring position in units of it strips every dimension out of the mathematics:
where: — the oscillator length, the scale on which the ground state is wide: picometres for a molecular vibration, tens of nanometres for an electron in a quantum dot. Every formula below lives in ; to return to the lab, multiply by . The Quantum Harmonic Oscillator: Analytic Solution showed that writing and demanding normalizability forces to be a polynomial — all we need to recall from there. The polynomial obeys the Hermite equation:
where: — the degree of the polynomial and the number of the state. This second-order ODE has one polynomial solution per non-negative integer (the other solution grows like and is discarded by physics). Fix the overall scale by convention — leading coefficient — and the family is unique. You never solve equation (2) directly — the family has two compact "birth certificates". The first is the Rodrigues formula: differentiate a Gaussian times and dress the result:
where: the keeps the leading coefficient positive. Each derivative of pulls down or differentiates the prefactor, so the result is always (polynomial) × ; the strips the Gaussian off. Try : . The second is the generating function — one exponential that carries the entire family in its Taylor expansion:
where: — a bookkeeping variable; is times the coefficient of . This is the most efficient line in the subject: differentiating it with respect to or produces every identity below in two lines each. Here is the family it produces:
| zeros (nodes of ) | ||
|---|---|---|
| 0 | none | |
| 1 | ||
| 2 | ||
| 3 | ||
| 4 | ||
| 5 |
Leading term always ; parity always ; always exactly real zeros, all inside the classical region.
The goal is to extract, from the single exponential , the three identities that do all practical Hermite work: the three-term recurrence, the derivative relation, and the Hermite equation itself. The strategy is one trick used twice — differentiate with respect to each variable, notice the derivative is a simple multiple of itself, and compare Taylor coefficients term by term. Watch how little algebra is involved; this is why generating functions are the professional's tool of choice for any orthogonal-polynomial family.
Step 1. Differentiate with respect to the bookkeeping variable :
Insert the expansion on both sides and collect the coefficient of : the left side gives , the right side gives .
Step 2. Multiply through by and the three-term recurrence appears:
Why this matters: from it builds the whole family with no derivatives and no integrals — and it is how libraries evaluate stably.
Step 3. Now differentiate with respect to : . Comparing coefficients of the same way gives the derivative relation:
Why it matters: momentum is a derivative, so this identity says "momentum connects state to " — the analytic seed of the ladder algebra.
Step 4. Combine the two. Differentiate the recurrence of Step 2 once, use Step 3 twice to eliminate and in favour of and its derivatives, and the Hermite equation drops out:
Why this matters: defined by an ODE, rebuilt from an exponential — and the two definitions close on each other exactly. *Verified: all three identities checked symbolically (sympy) for – against the explicit polynomials, and the generating-function Taylor coefficients reproduce through exactly.*
Orthogonality — the engine of everything
Every physical question about the oscillator — is the state normalized, what is the probability of measuring , how strongly does light drive the transition — reduces to an integral of two Hermite-Gaussians against a power of , and orthogonality answers them all at once:
where: — the Gaussian weight, which is exactly the product of the two envelope factors carried by and ; — different states never overlap; — the diagonal value that fixes normalization constants. Note the weight: Hermite polynomials are not orthogonal on their own — only the full eigenfunctions, polynomial times Gaussian, are.
Go deeper · Derivation B · 1 minOrthogonality and the normalization constant via Rodrigues
We prove equation (5) — both the vanishing off-diagonal and the exact diagonal value — and use it to fix the normalization of the eigenfunctions. The route is to substitute the Rodrigues formula for one of the two polynomials and integrate by parts repeatedly: each integration moves one derivative off the Gaussian and onto the other polynomial, and after steps the integral either dies (if the other polynomial has too low a degree) or collapses to a pure Gaussian integral. The one point of care is the boundary terms — they always contain a surviving factor , which kills them at .
Step 1. Take without loss of generality, and write the overlap with Rodrigues for :
Step 2. Integrate by parts times. Every boundary term carries times a polynomial and vanishes at infinity; every integration transfers one derivative onto and eats one factor of :
Why this kills the off-diagonal: the -th derivative of a degree- polynomial is identically zero. Orthogonality is just "you cannot differentiate a low-degree polynomial that many times".
Step 3. On the diagonal , only the leading term survives the derivatives: , so , a constant.
Step 4. What remains is the mother of all Gaussian integrals:
Step 5. Assemble the normalized eigenfunction. Demanding with divides out exactly times , giving
Why the prefactor splits: carries the dimensions; is the pure number compensating the growth of . *Verified: the orthogonality integrals were computed exactly (sympy) for all pairs — off-diagonals identically zero, diagonals — and the normalized integrate to 1 exactly.*
Matrix elements for free: the recurrence as a selection rule
The payoff that turns spectroscopy into arithmetic — rearrange the three-term recurrence:
where: the left side is "the position operator acting on state " in polynomial clothing. Multiplying a state by position produces only its two neighbours — nothing else. Sandwich equation (6) between eigenfunctions and orthogonality wipes out everything except :
where: — the universal length of oscillator matrix elements. This is the selection rule : an infrared photon, coupling , moves a vibration one rung at a time — CO's single strong IR line at 2143 cm⁻¹ is equation (7). The same algebra is where Ladder Operators and the Algebraic Oscillator gets : are the two recurrences in operator form. Two routes, one structure; neither re-derives the other. Iterating once more gives — how Zero-Point Energy reads the ground state's irreducible spread () straight off this family.
Limiting cases
| case | result | meaning |
|---|---|---|
| ground state, | , | pure Gaussian, no nodes; the minimum-uncertainty state |
| large | polynomial growth always loses to : every state is normalizable | |
| parity | even/odd alternation demanded by the symmetric potential | |
| nodes | exactly real zeros, all in the classical region | the state label made visible; outside the turning points decays monotonically |
| classical turning point | , i.e. | where ; beyond it the ground state still carries 15.7% of its probability |
| large | (locally averaged) | the classical dwell-time distribution emerges — the correspondence principle |
That last row deserves its picture:
A classical oscillator spends most time near the turning points, where it moves slowest — the dashed curve's edge peaks. The quantum density oscillates, but its local average hugs the classical curve ever more closely as grows. The correspondence principle caught in the act — the same limit Infinite Square Well exhibited with flat-topped sines.
Worked examples
Example 1 — build, check and locate: the n = 3 state of HCl (confidence builder). The HCl vibration has wavenumber and reduced mass . Construct from the recurrence, and find where the nodes of sit in picometres.
Step 1. Build the polynomial with the three-term recurrence, no derivatives needed. From , : , then .
Step 2. Nodes: gives and .
Step 3. The length unit: , so .
Step 4. Physical positions: , so the nodes sit at and — a few percent of the 127 pm bond length. For scale, the turning point is : all nodes comfortably inside the classical region, as they must be.
Example 2 — how much does a "rigid" bond actually move? (exam level). The CO molecule has , reduced mass , and bond length . Find the RMS displacement of the bond in its vibrational ground state, and the probability that a measurement finds the bond stretched beyond its classical limit.
Step 1. Frequency: .
Step 2. The ground state is a pure Gaussian with (equation 7 applied twice): .
Step 3. RMS displacement: — the "rigid" CO bond breathes by about 3.0% of its length even at absolute zero. This zero-point motion is directly visible as the Debye–Waller attenuation in X-ray and neutron scattering.
Step 4. Beyond the turning point: for the classical amplitude is . The leak-out probability is — nearly 16% of measurements catch the bond in classically forbidden stretch, pure Gaussian-tail physics with no polynomial in sight ().
The analyst behind the alphabet
Origins · 1 minCharles Hermite and how this was discovered
One of the nineteenth century's great analysts, holder of the Paris chairs of analysis and teacher of Poincaré, Hermite studied the family that bears his name in an 1864 memoir on approximation theory (Chebyshev and Laplace had touched them earlier — a textbook case of Stigler's law), proving orthogonality under the Gaussian weight. His larger fame: the 1873 proof that is transcendental. He never knew quantum mechanics existed; sixty years after the memoir, Schrödinger found the oscillator's wavefunctions already tabulated in the analysts' handbooks — and the name now marks the theory's deepest structural fact, the Hermitian operator.
Going further
References. Griffiths, Introduction to Quantum Mechanics, 3rd ed., §2.3 · Sakurai & Napolitano, Modern Quantum Mechanics, 2nd ed., §2.5 · Shankar, Principles of Quantum Mechanics, 2nd ed., Ch. 7 · Cohen-Tannoudji, Diu & Laloë, Quantum Mechanics, Vol. I, Ch. V · Townsend, A Modern Approach to Quantum Mechanics, 2nd ed., Ch. 7 · Abramowitz & Stegun, Handbook of Mathematical Functions, Ch. 22
Provenance. Equations and conventions cross-checked against Griffiths 3rd ed. §2.3 (eigenfunctions, normalization Eq. 2.85), Shankar 2nd ed. Ch. 7 (series solution, recursion ), Sakurai 2nd ed. §2.5 (ladder operators), and Abramowitz & Stegun Ch. 22 (Rodrigues 22.11, generating function 22.9, recurrence 22.7, orthogonality 22.2.14). A verifier should recompute: (1) the recursion and its asymptotics; (2) the Rodrigues integration-by-parts giving ; (3) from the recurrence; (4) ; (5) classical turning point from . All five, plus every worked number, node position and orthogonality integral on this page, were re-verified symbolically (sympy) and numerically for this edition.
Builds on: Quantum Harmonic Oscillator: Analytic Solution · Time-Independent Schrödinger Equation in One Dimension · Bound States versus Scattering States
Leads to: Ladder Operators and the Algebraic Oscillator · Zero-Point Energy · Wave Packets and Their Construction · Coherent States of the Harmonic Oscillator
Do I ever need to memorize the Hermite polynomials?
No — memorize the machinery instead. From and the recurrence regenerates any member in seconds (it is also how libraries evaluate them stably). Worth actually memorizing: the two recurrences, the orthogonality constant , and the leading term . Those four facts reconstruct everything else on this page.
Why does the weight e^(−ξ²) appear in the orthogonality integral when the wavefunction only carries e^(−ξ²/2)?
Because orthogonality is a statement about pairs: the inner product carries two envelope factors, . The polynomials alone are not orthogonal at all — most such integrals diverge. In any table of "orthogonal polynomials", the weight is part of the definition, not a garnish.
Where exactly does quantization enter — the ODE has solutions for every energy, doesn't it?
That is the point: at generic energy the series solution never terminates, and its coefficients fall off so slowly () that the sum behaves like — times the envelope, the wavefunction grows as : non-normalizable, dead. Only termination into a polynomial saves it, and that happens exactly at . The full argument is owned by Quantum Harmonic Oscillator: Analytic Solution; this article inherits its output.
Are the nodes ever outside the classically allowed region?
Never. All zeros of lie strictly inside the turning points ('s outermost zeros: against a turning point at ). Beyond them the state is in its forbidden tail, where forces monotonic decay — and a monotonically decaying tail cannot cross zero. Nodes are strictly a classically-allowed-region phenomenon.
Is psi_n a state the oscillator is actually in, or just a basis function?
Both. A molecule relaxed at low temperature genuinely occupies (spectroscopy confirms the offset through isotope shifts — see Zero-Point Energy). But the family's daily job is as a basis: any oscillator state, including the sloshing packets of Wave Packets and Their Construction, expands as . The superpositions that slosh forever without spreading get their own article, Coherent States of the Harmonic Oscillator.
Why do laser beam cross-sections show these same functions? There is no oscillator in a laser cavity.
There is, mathematically. The paraxial wave equation governing a beam's transverse profile has the same structure as a 2D Schrödinger equation, with the propagation direction playing time and the mirrors' focusing playing the quadratic potential. Its self-reproducing solutions are therefore Hermite-Gaussian: TEM modes with vertical and horizontal dark lines — node counts you can see with the naked eye on a screen. Same equation, same eigenfunctions; only the labels change.
What is a Franck–Condon factor, concretely, in terms of these polynomials?
An overlap integral between Hermite-Gaussians of two different oscillators. After an electronic transition the molecule's vibration lives in a new potential — shifted equilibrium, different — and the vibronic line intensity is . Both factors are polynomial-times-Gaussian, so the integrals close in elementary form — which is why vibronic band intensities were computable by hand decades before computers.