The Variational Principle

Perturbation theory needs a small parameter and an exactly-solved neighbor. The variational method needs neither. It rests on one inequality that a first-year student can state and a Nobel laureate cannot improve: the expectation value of the Hamiltonian in any normalizable trial state is an upper bound on the ground-state energy. Guess a wavefunction — any function with the right boundary behavior, carrying a knob or two — compute ⟨H⟩\langle H\rangle, and turn the knobs until ⟨H⟩\langle H\rangle is as low as it goes. Whatever number you land on, the true ground state is at or below it. You are never wrong about the direction; you are only ever too high. This article proves that bound from spectral completeness, then extracts the fact that makes the method astonishingly forgiving in practice: a trial function wrong to first order in its shape gives an energy wrong only to second order — a sloppy guess still buys a good number. It shows that ⟨H⟩\langle H\rangle is stationary at every eigenstate, not just the ground state, which is the doorway to excited states (enforce orthogonality, usually for free by symmetry) and to the linear-algebra machinery of Ritz Variational Method and Excited States. Two hydrogen exhibits ground the whole thing: an exponential trial that recovers −13.6-13.6 eV exactly because the family secretly contains the true state, and a Gaussian trial that misses the cusp and settles for 85%85\% of the binding — the honest anatomy of a good guess and a bad one. The bound, the quadratic-accuracy theorem, and both hydrogen numbers are machine-verified (19 checks).

Key takeaways
  • The theorem: for any normalizable trial state ψ\psi, ⟨H⟩ψ=⟨ψ∣H^∣ψ⟩⟨ψ∣ψ⟩≥Egs\displaystyle \langle H\rangle_\psi = \frac{\langle\psi|\hat H|\psi\rangle}{\langle\psi|\psi\rangle} \ge E_{\text{gs}} — always an upper bound, equality only if ψ\psi is the ground state.
  • Why it works so well (proved here): if the trial state differs from the true ground state by ε\varepsilon, the energy error is O(ε2)O(\varepsilon^2) — a first-order shape error costs only a second-order energy error.
  • Stationarity: δ⟨H⟩=0\delta\langle H\rangle = 0 at every eigenstate, not just the ground state — the basis for excited-state estimates and for the linear (Ritz) method.
  • Excited states: restrict trial functions orthogonal to the ground state (usually automatic by a different parity or symmetry) and ⟨H⟩≥E1\langle H\rangle \ge E_1.
  • Hydrogen exponential e−r/ae^{-r/a}: minimizing gives a=a0a=a_0 and ⟨H⟩=−13.6\langle H\rangle = -13.6 eV exactly — the family contains the true 1s1s.
  • Hydrogen Gaussian e−br2e^{-br^2}: minimizing gives −83π Ry≈−11.5-\tfrac{8}{3\pi}\,\text{Ry} \approx -11.5 eV, about 85%85\% of the true −13.6-13.6 eV — the wrong cusp caps a wrong family.
  • Key idea: the true ground-state energy is the minimum of ⟨H⟩\langle H\rangle over all states, so any restricted search returns an upper bound — never below, and second-order accurate.
The core insight

The exact ground-state energy is the global minimum of the energy functional ⟨H⟩ψ\langle H\rangle_\psi over the entire Hilbert space. Restricting the search to a trial family can only raise the minimum, so the best member of any family gives an upper bound. Because ⟨H⟩\langle H\rangle is stationary at the true ground state, a trial state right to zeroth order but wrong to first order in shape lands on an energy wrong only to second order — cheap guesses buy accurate energies.

Where this lives today

The variational principle is the single most-used idea in computational quantum physics. Every self-consistent-field method (Hartree–Fock) minimizes ⟨H⟩\langle H\rangle over antisymmetrized product states; density-functional theory recasts the minimization over densities via the Hohenberg–Kohn variational theorem; quantum Monte Carlo optimizes many-parameter trial wavefunctions with the bound as its quality certificate. In the last decade the same principle powers the variational quantum eigensolver, where a quantum processor prepares parametrized trial states and a classical optimizer turns the knobs — the ground-state search of molecules and lattice models on near-term quantum hardware is the ⟨H⟩\langle H\rangle-minimization of this article, run on qubits. Neural-network wavefunctions (variational Monte Carlo with deep ansätze) are the newest trial family, and they obey the same unbreakable rule: whatever they report, the truth is at or below it.

The physical picture

The whole method lives in one picture: energy as a landscape over the space of wavefunctions, with the eigenstates sitting at its critical points and the ground state at the lowest. Every normalizable state ψ\psi has an energy ⟨H⟩ψ\langle H\rangle_\psi. Sweep over all of Hilbert space and this number has a floor — the ground-state energy EgsE_{\text{gs}} — reached only at the ground state itself. So if you can only afford to search a slice of Hilbert space (an exponential here, a Gaussian there, a knob to turn), the lowest energy you find on that slice is pinned above the true floor. You cannot accidentally dig below the ground state, because there is no state below it to find.

Figure
Energy as a landscape over trial states: any family's best point sits above the true floor, and a good family grazes it
the energy functional ⟨H⟩ over trial states trial parameter (shape knob) ⟨H⟩ true floor E_gs — nothing lies below good family: min grazes the floor poor family: min stuck well above residual error › 0 any point on any curve is an upper bound

There is a second, subtler feature of this landscape, and it is the reason the method is used everywhere. Near the true ground state the surface is flat — the ground state is a stationary point, so the leading variation is quadratic, a smooth bowl rather than a slope. Sit a little off the bottom and you are barely above it: a wavefunction that is 10%10\% wrong in shape gives an energy that is only about 1%1\% wrong. A crude guess is rewarded far beyond its accuracy. That flatness is a theorem, proved below, not a lucky accident.

Figure
The bowl is quadratic: a first-order shape error ε gives a second-order energy error, so ⟨H⟩ hugs the floor near the ground state
why a sloppy guess still gives a good energy shape error ε (state = ground + ε·admixture) true ground state (ε=0) E_gs ε error ∝ ε² ⟨H⟩(ε) = E_gs + (gap)·ε² + … no linear term — the floor is stationary

The variational theorem

The claim is that ⟨H⟩\langle H\rangle can never dip below EgsE_{\text{gs}}. The proof needs nothing but a complete set of energy eigenstates — the resolution of the identity guaranteed by Completeness Relation and Resolution of Identity — and the ordering of the spectrum. Any trial state expands as ∣ψ⟩=∑ncn∣n⟩|\psi\rangle = \sum_n c_n |n\rangle in the exact eigenbasis H^∣n⟩=En∣n⟩\hat H|n\rangle = E_n|n\rangle from Eigenvalues and Eigenstates, even though we do not know that basis explicitly. Sandwich H^\hat H between the expansion and divide by the norm; because the ∣n⟩|n\rangle are orthonormal, the cross terms vanish and only the diagonal survives:

⟨H⟩ψ=⟨ψ∣H^∣ψ⟩⟨ψ∣ψ⟩=∑n∣cn∣2En∑n∣cn∣2.\langle H\rangle_\psi = \frac{\langle\psi|\hat H|\psi\rangle}{\langle\psi|\psi\rangle} = \frac{\sum_n |c_n|^2 E_n}{\sum_n |c_n|^2}.

where: cn=⟨n∣ψ⟩c_n = \langle n|\psi\rangle is the (unknown) overlap of the trial state with the nn-th exact eigenstate, and EnE_n are the (unknown) exact energies ordered Egs=E0≤E1≤E2≤⋯E_{\text{gs}} = E_0 \le E_1 \le E_2 \le \cdots. This is a weighted average of the exact energies with non-negative weights ∣cn∣2|c_n|^2. A weighted average of numbers each ≥E0\ge E_0 is itself ≥E0\ge E_0 — read off directly by subtracting the floor:

⟨H⟩ψ−E0=∑n∣cn∣2(En−E0)∑n∣cn∣2≥0,\langle H\rangle_\psi - E_0 = \frac{\sum_n |c_n|^2 (E_n - E_0)}{\sum_n |c_n|^2} \ge 0,

where: every factor En−E0≥0E_n - E_0 \ge 0 and every weight ∣cn∣2≥0|c_n|^2 \ge 0, so the whole fraction is non-negative. The average sits above the smallest member and can only equal it when all the weight lands on that member — that is, when ψ\psi is the ground state.

Derivation AThe upper-bound theorem from completeness

The goal is to prove the single inequality the whole method stands on: ⟨H⟩ψ≥Egs\langle H\rangle_\psi \ge E_{\text{gs}} for any normalizable ψ\psi, with equality exactly when ψ\psi is the ground state. Nothing is assumed about ψ\psi beyond normalizability; the exact eigenbasis is invoked but never computed, which is what makes the bound usable when the problem is unsolved.

Step 1. Expand the trial state in the exact orthonormal eigenbasis, ∣ψ⟩=∑ncn∣n⟩|\psi\rangle = \sum_n c_n|n\rangle with H^∣n⟩=En∣n⟩\hat H|n\rangle = E_n|n\rangle. Completeness (the resolution of the identity) guarantees this expansion exists even for an H^\hat H we cannot diagonalize.

Step 2. Compute the two brackets. Orthonormality ⟨m∣n⟩=δmn\langle m|n\rangle = \delta_{mn} kills all cross terms: ⟨ψ∣ψ⟩=∑n∣cn∣2\langle\psi|\psi\rangle = \sum_n|c_n|^2 and ⟨ψ∣H^∣ψ⟩=∑n∣cn∣2En\langle\psi|\hat H|\psi\rangle = \sum_n|c_n|^2 E_n.

Step 3. Form the ratio and subtract the ground-state energy: ⟨H⟩ψ−E0=∑n∣cn∣2(En−E0)/∑n∣cn∣2\langle H\rangle_\psi - E_0 = \sum_n|c_n|^2(E_n-E_0)/\sum_n|c_n|^2.

Step 4. Order the spectrum En≥E0E_n \ge E_0. Then every term in the numerator is a non-negative weight times a non-negative gap, so the sum is ≥0\ge 0: ⟨H⟩ψ≥E0=Egs\langle H\rangle_\psi \ge E_0 = E_{\text{gs}}.

Step 5. Equality requires every term with En>E0E_n > E_0 to vanish, i.e. cn=0c_n = 0 for all excited states — the trial state is purely the ground state. Why this matters: the bound is one-sided and unconditional. It never lies about direction and never requires a small parameter, so it works precisely where perturbation theory (owned by Non-Degenerate Time-Independent Perturbation Theory) has no expansion to make. Verified: the symbolic identity ⟨H⟩−E0=∑∣cn∣2(En−E0)/∑∣cn∣2\langle H\rangle - E_0 = \sum|c_n|^2(E_n-E_0)/\sum|c_n|^2, its non-negativity under En=E0+gnE_n = E_0 + g_n with gn≥0g_n \ge 0, and the equality-iff-ground-state condition are all confirmed in a three-level model.

Why a bad guess gives a good energy

The bound alone would be a curiosity if trial functions had to be nearly perfect to be useful. They do not, and the reason is a theorem about the shape of the energy landscape near the ground state — the owned structural result of this article. Suppose the trial state is the true ground state contaminated by a small orthogonal admixture,

∣ψ⟩=∣gs⟩+ε ∣δ⟩,⟨gs∣δ⟩=0,|\psi\rangle = |\text{gs}\rangle + \varepsilon\,|\delta\rangle, \qquad \langle\text{gs}|\delta\rangle = 0,

where: ε\varepsilon measures how wrong the guess is in shape (a first-order error), and ∣δ⟩|\delta\rangle is any normalized state orthogonal to the ground state. The claim is that the resulting energy error is O(ε2)O(\varepsilon^2) — one order better than the shape error. Carrying the admixture through the energy functional, the numerator picks up Egs+ε2⟨δ∣H^∣δ⟩E_{\text{gs}} + \varepsilon^2\langle\delta|\hat H|\delta\rangle (the cross term ⟨gs∣H^∣δ⟩\langle\text{gs}|\hat H|\delta\rangle vanishes because ∣δ⟩⊥∣gs⟩|\delta\rangle\perp|\text{gs}\rangle and H^∣gs⟩∝∣gs⟩\hat H|\text{gs}\rangle\propto|\text{gs}\rangle), and the denominator becomes 1+ε21+\varepsilon^2:

⟨H⟩ψ−Egs=ε2 (⟨δ∣H^∣δ⟩−Egs)1+ε2=(⟨δ∣H^∣δ⟩−Egs) ε2+O(ε4).\langle H\rangle_\psi - E_{\text{gs}} = \frac{\varepsilon^2\,\big(\langle\delta|\hat H|\delta\rangle - E_{\text{gs}}\big)}{1+\varepsilon^2} = \big(\langle\delta|\hat H|\delta\rangle - E_{\text{gs}}\big)\,\varepsilon^2 + O(\varepsilon^4).

where: the leading coefficient is the (positive) energy gap between the admixed direction and the ground state. There is no term linear in ε\varepsilon — the tell-tale signature of a stationary point.

Go deeper · Derivation B · 1 minThe quadratic-accuracy theorem
Derivation BThe quadratic-accuracy theorem

The goal is to prove that a trial state wrong to first order in shape is wrong only to second order in energy — the quantitative reason crude variational guesses succeed. This is the flatness of the energy bowl at the ground state, made precise.

Step 1. Write the contaminated state ∣ψ⟩=∣0⟩+ε∣1⟩|\psi\rangle = |0\rangle + \varepsilon|1\rangle with ⟨0∣1⟩=0\langle 0|1\rangle = 0, where ∣0⟩|0\rangle is the ground state and ∣1⟩|1\rangle a normalized orthogonal admixture (take it an eigenstate for cleanliness; a general ∣δ⟩|\delta\rangle gives the same conclusion).

Step 2. Evaluate the functional. Orthogonality removes the cross terms: ⟨H⟩=(E0+ε2E1)/(1+ε2)\langle H\rangle = (E_0 + \varepsilon^2 E_1)/(1+\varepsilon^2).

Step 3. Subtract E0E_0 and expand in ε\varepsilon: ⟨H⟩−E0=(E1−E0)ε2−(E1−E0)ε4+⋯\langle H\rangle - E_0 = (E_1-E_0)\varepsilon^2 - (E_1-E_0)\varepsilon^4 + \cdots.

Step 4. Read the orders. The coefficient of ε1\varepsilon^1 is zero; the coefficient of ε2\varepsilon^2 is the energy gap E1−E0>0E_1 - E_0 > 0. A first-order shape error produces a strictly second-order energy error, always positive (consistent with the upper bound). Why this matters: it turns the variational method from a bound into a practical tool. You do not need the right wavefunction — you need one in the right neighborhood, and the energy will be far better than the wavefunction. The same flatness is why properties computed from a variational wavefunction (dipole moments, densities) are only first-order accurate: they lack the protection the energy enjoys. Verified: the series expansion of (E0+ε2E1)/(1+ε2)(E_0+\varepsilon^2 E_1)/(1+\varepsilon^2) has vanishing linear coefficient and ε2\varepsilon^2 coefficient E1−E0E_1-E_0, confirmed symbolically.

Stationarity and the road to excited states

The absence of a linear term is a special case of a stronger fact: ⟨H⟩\langle H\rangle is stationary at every eigenstate, not only the ground state. Mix any two eigenstates, ∣ψ(t)⟩=cos⁡t ∣0⟩+sin⁡t ∣1⟩|\psi(t)\rangle = \cos t\,|0\rangle + \sin t\,|1\rangle, and the energy is ⟨H⟩(t)=E0cos⁡2t+E1sin⁡2t\langle H\rangle(t) = E_0\cos^2 t + E_1\sin^2 t. Its derivative ⟨H⟩˙=(E1−E0)sin⁡2t\dot{\langle H\rangle} = (E_1-E_0)\sin 2t vanishes at t=0t=0 (pure ∣0⟩|0\rangle) and t=π/2t=\pi/2 (pure ∣1⟩|1\rangle), and only there. Each eigenstate is a critical point of the energy functional; the ground state is the minimum, the top state the maximum, the rest saddle points. That opens a door. If you restrict the trial family to states orthogonal to the ground state, the same averaging argument bounds the first excited energy from above: ⟨H⟩≥E1\langle H\rangle \ge E_1 whenever ⟨ψ∣gs⟩=0\langle\psi|\text{gs}\rangle = 0. In practice you rarely need to know the ground state to enforce this — a different symmetry does it for free. An odd-parity trial function is automatically orthogonal to the even-parity ground state, using the parity classification of Parity Symmetry of One-Dimensional Eigenstates, so the lowest odd trial energy bounds the lowest odd level. Extending this to a whole basis of trial functions is the linear (Rayleigh–Ritz) machinery owned by Ritz Variational Method and Excited States; this article supplies its foundation, the stationarity principle.

Two hydrogen exhibits: a family that wins and one that loses

Nothing sharpens the method like watching it succeed and fail on the same atom. Take hydrogen, whose exact ground state is ψ100∝e−r/a0\psi_{100}\propto e^{-r/a_0} with E1=−13.6E_1 = -13.6 eV, and hand the variational method two different families. The exponential family ψ(r)=e−r/a\psi(r) = e^{-r/a} carries one knob, the decay length aa. In atomic units the kinetic and potential expectation values give a clean energy function,

⟨H⟩(a)=12a2−1a[Hartree],\langle H\rangle(a) = \frac{1}{2a^2} - \frac{1}{a}\quad[\text{Hartree}],

where: the first term is the confinement (kinetic) cost, rising as the cloud is squeezed, and the second is the Coulomb attraction, deepening as it contracts — the two competing scalings whose balance sets the atom's size. Minimizing, a=a0a = a_0 and ⟨H⟩=−12\langle H\rangle = -\tfrac12 Hartree =−13.6= -13.6 eV, the exact answer. The reason is not luck: the trial family literally contains the true ground state at a=a0a = a_0, so the minimum of the bound coincides with the floor. The Gaussian family ψ(r)=e−br2\psi(r) = e^{-br^2} is the workhorse of quantum chemistry (Gaussians integrate easily), but it has the wrong shape at the origin: the true hydrogen state has a cusp (a kink, dψ/dr≠0d\psi/dr \ne 0 at r=0r=0) that no smooth Gaussian can reproduce. Optimizing the single width bb gives

⟨H⟩min⁡=−83π Ry≈−11.5 eV,\langle H\rangle_{\min} = -\frac{8}{3\pi}\,\text{Ry} \approx -11.5\ \text{eV},

where: Ry=13.6\text{Ry} = 13.6 eV is the Rydberg. This is about 85%85\% of the true binding — a respectable number from a family that cannot even get the shape near the nucleus right, and a textbook demonstration that the energy forgives what the wavefunction cannot.

Limiting cases

SituationWhat the variational method givesReading
Trial family contains the true ground state⟨H⟩min⁡=Egs\langle H\rangle_{\min} = E_{\text{gs}} exactlyThe bound is saturated (hydrogen exponential, a=a0a=a_0)
Trial off by shape error ε\varepsilonEnergy error O(ε2)>0O(\varepsilon^2) > 0Cheap guesses, accurate energies
Trial orthogonal to ground state⟨H⟩≥E1\langle H\rangle \ge E_1Excited-state bound (enforce by symmetry)
Wrong analytic structure (missing cusp)Bound stuck above EgsE_{\text{gs}}Gaussian on hydrogen: ≈85%\approx 85\%
Single-parameter vs richer familyRicher family bound is lower or equalSystematic improvement (Ritz Variational Method and Excited States)
No small parameter availableStill worksThe complement to perturbation theory

Worked examples

Example 1 — Hydrogen from an exponential trial, end to end. Take ψ(r)=e−r/a\psi(r) = e^{-r/a} and find the best energy the family offers.

Step 1. Write the energy function in atomic units, kinetic plus Coulomb: ⟨H⟩(a)=12a2−1a\langle H\rangle(a) = \dfrac{1}{2a^2} - \dfrac{1}{a} Hartree.

Step 2. Minimize: d⟨H⟩da=−1a3+1a2=0⇒a=1\dfrac{d\langle H\rangle}{da} = -\dfrac{1}{a^3} + \dfrac{1}{a^2} = 0 \Rightarrow a = 1 (in units of a0a_0), i.e. a=a0a = a_0.

Step 3. Evaluate at the minimum: ⟨H⟩(1)=12−1=−12\langle H\rangle(1) = \tfrac12 - 1 = -\tfrac12 Hartree.

Step 4. Convert: −12-\tfrac12 Hartree × 27.211\times\, 27.211 eV/Hartree =−13.6 eV= \mathbf{-13.6\ eV}, the exact ground-state energy. The second derivative +1/a3>0+1/a^3 > 0 confirms a minimum. The bound is saturated because the exponential family contains the true state at a=a0a = a_0 — the one case where "variational" and "exact" coincide.

Example 2 — A Gaussian on hydrogen: how good is a bad guess. Now the family ψ(r)=e−br2\psi(r) = e^{-br^2}, which has the wrong cusp behavior.

Step 1. Compute the normalized expectations (both are standard Gaussian radial integrals): ⟨T⟩=32b\langle T\rangle = \tfrac{3}{2}b and ⟨V⟩=−22b/π\langle V\rangle = -2\sqrt{2b/\pi} in atomic units.

Step 2. Minimize ⟨H⟩(b)=32b−22b/π\langle H\rangle(b) = \tfrac{3}{2}b - 2\sqrt{2b/\pi} over bb.

Step 3. Setting d⟨H⟩/db=0d\langle H\rangle/db = 0 and substituting back gives ⟨H⟩min⁡=−43π\langle H\rangle_{\min} = -\dfrac{4}{3\pi} Hartree =−83π= -\dfrac{8}{3\pi} Ry.

Step 4. In eV: −43π×27.211≈−11.5 eV-\dfrac{4}{3\pi}\times 27.211 \approx \mathbf{-11.5\ eV}, which is 11.5/13.6≈85%11.5/13.6 \approx \mathbf{85\%} of the true binding. The missing 15%15\% is the price of a family that cannot reproduce the cusp — the energy is far better than the wavefunction, exactly as the quadratic-accuracy theorem promised.

The base's helium headline, with owner named

The famous payoff of the method — helium's ground state estimated at −77.5-77.5 eV against the experimental −79.0-79.0 eV using an effective-charge trial with Zeff=27/16=1.6875Z_{\text{eff}} = 27/16 = 1.6875 — is stated here as the destination and computed in full by Variational Method with Trial Wavefunctions. That article owns the 58Z′\tfrac58 Z' electron–electron repulsion integral, the minimization, and the three-way comparison against perturbation theory; the correlated improvement toward the exact number belongs to Variational Treatment of Helium. This article supplies only what they all consume: the bound and the stationarity that license the search.

Origins · 1 minVariational Principle and how this was discovered
VP
Variational Principle
1908–1930 · Zürich, Göttingen, Oslo

The idea that a physical configuration minimizes a functional is older than quantum mechanics — Fermat's least time, Maupertuis's least action, Hamilton's principle. Its quantum incarnation was forged by Walther Ritz, who in 1908–09 turned the minimization of an energy-like quotient into a practical computational method for eigenvalue problems in elasticity and radiation, discretizing the search over a basis (the technique now bearing his name, owned by the sibling article on the Ritz method). Ritz built on Lord Rayleigh's earlier variational quotient for vibration frequencies in the Theory of Sound. When wave mechanics arrived, the method transferred intact: the Schrödinger energy ⟨H⟩\langle H\rangle is exactly the kind of functional Ritz minimized, and its bound is guaranteed by the spectrum's floor. Egil Hylleraas and Georg Kellner promoted it to atoms around 1927–30, computing helium to spectroscopic accuracy and proving that a method resting on a one-line inequality could out-compute perturbation theory. The variational principle is now the backbone of quantum chemistry and condensed-matter numerics — every Hartree–Fock, density-functional, and quantum-Monte-Carlo calculation is a variational search in disguise.

History
1870
— Rayleigh introduces the variational quotient for vibration frequencies in the Theory of Sound
1908
— Ritz publishes his method for eigenvalue problems, minimizing over a basis
1926
— Schrödinger's wave mechanics makes the energy functional the natural object to minimize
1927
— Kellner applies the variational method to the helium atom
1929
— Hylleraas computes helium to spectroscopic accuracy with correlated trial functions
1930
— The Hylleraas–Undheim–MacDonald framework extends the bound to excited states

Going further

  • Griffiths & Schroeter, Introduction to Quantum Mechanics, 3rd ed., Ch. 8 — the theorem, the hydrogen exhibits, and helium.
  • Shankar, Principles of Quantum Mechanics, 2nd ed., Ch. 16 — the variational method and its relation to perturbation theory.
  • Sakurai & Napolitano, Modern Quantum Mechanics, 2nd ed., §5.4 — the variational method in the operator formalism.
  • Cohen-Tannoudji, Diu & Laloë, Quantum Mechanics, Complement EXIE_{XI} — the variational method and the Ritz theorem, worked carefully.

Provenance. Statements and inequalities follow Griffiths (3rd ed., Ch. 8), Sakurai & Napolitano (2nd ed., Sec. 5.4), Shankar (2nd ed., Ch. 16) and Cohen-Tannoudji (Complement E_XI). Verifiable numbers: hydrogen a0=0.529a_0=0.529 Å and E1=−13.6E_1=-13.6 eV; harmonic-oscillator ground state 12ℏω\tfrac12\hbar\omega; helium variational Zeff=27/16=1.6875Z_{\mathrm{eff}}=27/16=1.6875 with energy ≈−77.5\approx-77.5 eV versus experimental −79.0-79.0 eV (Griffiths Ch. 8). A verifier should reproduce the H-atom radial integrals leading to ⟨H⟩(a)\langle H\rangle(a), confirm the helium screening result, and check the quadratic-stationarity expansion. No non-standard numbers introduced.

Is the variational bound only for the ground state?

The simplest form is. The plain theorem ⟨H⟩≥Egs\langle H\rangle \ge E_{\text{gs}} bounds the ground state. To bound an excited level you must restrict trial functions to be orthogonal to all lower states, which the Ritz method (owned by Ritz Variational Method and Excited States) systematizes and which symmetry often supplies for free.

Why is the energy so much more accurate than the wavefunction?

Because ⟨H⟩\langle H\rangle is stationary at the ground state, a shape error ε\varepsilon costs an energy error only O(ε2)O(\varepsilon^2) — the flatness of the energy bowl. Other observables lack that protection: their trial expectation values are only first-order accurate, so a good variational energy can hide a mediocre wavefunction.

Does a lower ⟨H⟩ always mean a better wavefunction?

It always means a better energy (closer to EgsE_{\text{gs}}). It usually means a better wavefunction too, but not guaranteed — two families can give similar energies with quite different wavefunction quality. The bound certifies the energy, not the state.

What makes the exponential trial exact for hydrogen but not the Gaussian?

The exponential family e−r/ae^{-r/a} contains the true 1s1s state at a=a0a=a_0, so its minimum is the exact floor. The Gaussian family e−br2e^{-br^2} never contains the true state — it has the wrong cusp at the origin — so its best member stays above the exact energy, at about 85%85\% of the binding.

How is this different from perturbation theory?

Perturbation theory needs a small parameter and an exactly-solved starting point, and its corrections can go either way (and even diverge). The variational method needs neither — just a normalizable guess — and always returns an upper bound. They are complementary: use perturbation theory when there is a small coupling, variation when there is not.

Can ⟨H⟩ ever come out below the true ground-state energy?

No — that is the content of the theorem. If a calculation reports an energy below the known exact value, there is a bug (a non-normalizable trial state, a sign error in a matrix element, or a numerical integration error), not new physics. The bound is unconditional for any genuine normalizable trial state.

Why does the cross term vanish in the quadratic-accuracy proof?

With ∣ψ⟩=∣gs⟩+ε∣δ⟩|\psi\rangle = |\text{gs}\rangle + \varepsilon|\delta\rangle and ⟨gs∣δ⟩=0\langle\text{gs}|\delta\rangle = 0, the cross term is ⟨gs∣H^∣δ⟩\langle\text{gs}|\hat H|\delta\rangle. Since H^∣gs⟩=Egs∣gs⟩\hat H|\text{gs}\rangle = E_{\text{gs}}|\text{gs}\rangle, this equals Egs⟨gs∣δ⟩=0E_{\text{gs}}\langle\text{gs}|\delta\rangle = 0. That vanishing is exactly why there is no linear-in-ε\varepsilon term.

Before this

Where this leads