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Semiclassical Limits and Correspondence

A semiclassical limit is a controlled comparison between a family of quantum predictions and a classical description. It is not the assertion that a quantum state literally turns into a point in phase space, nor is it obtained by deleting every occurrence of ℏ\hbar from an equation.

The word correspondence is therefore incomplete until one specifies what is being compared. Energy spacings may approach classical frequencies, smoothed eigenstate densities may approach classical time-spent measures, packet centers may follow classical trajectories for a finite interval, and oscillatory propagators may be organized by classical paths. These are distinct statements with distinct errors and failure modes. The suppression of Bose and Fermi exchange at low phase-space density is a separate limit developed in Classical Limit of Quantum Statistics.

This page is the synthesis and reporting guide for the WKB chapter. The broader conceptual map belongs to Classical Limit, the action-phase asymptotics belong to the Mathematical Toolkit’s Semiclassical Limit, and detailed packet and phase-space evolution belongs to What Is the Classical Limit?. The purpose here is operational: to state a limit precisely, connect it to the semiclassical methods in this chapter, and recognize when the conclusion is weaker than it first appears.

A useful semiclassical claim should answer six questions.

PartQuestion to state explicitlyTypical choices
Parameter familyWhat sequence of quantum problems is considered?ϵ=ℏ/S0→0\epsilon=\hbar/S_0\to0, n→∞n\to\infty, large spin, short wavelength
Fixed dataWhat remains unchanged along the sequence?Classical action, energy surface, geometry, scaled potential, observation time
State classWhich preparations are admitted?WKB eigenstates, coherent packets, Lagrangian states, thermal mixtures
Observable classWhat is actually measured?Smooth functions, finite-resolution projectors, transition amplitudes, spectral windows
Time windowFor how long is the comparison asserted?Fixed time, one period, algebraic time, Ehrenfest time
Sense of approximationHow is agreement quantified?Relative error, weak convergence, coarse-grained convergence, asymptotic series

Omitting any one of these can change a true statement into a false one. For example, high-energy box eigenstates do not converge pointwise to a uniform density, but their probabilities do converge to the classical uniform measure when tested against sufficiently smooth observables. Likewise, a packet center may follow a classical orbit at fixed time while the approximation fails on a time scale that grows only logarithmically as ℏ\hbar decreases.

The most compact honest form is

quantum family+state class+observable class→time and resolutionϵ→0classical prediction,\begin{gathered} \text{quantum family} + \text{state class} \\ {}+\text{observable class} \\[2pt] \xrightarrow[\text{time and resolution}] {\epsilon\to0} \text{classical prediction}, \end{gathered}

followed by an error estimate or a clear statement of the mode of convergence.

Because ℏ\hbar has dimensions of action, the notation ℏ→0\hbar\to0 is shorthand for a dimensionless asymptotic family. Consider

[−ℏ22m∇x2+V(x)]ψ(x)=Eψ(x).\left[ -\frac{\hbar^2}{2m}\nabla_x^2 + V(\mathbf x) \right]\psi(\mathbf x) = E\psi(\mathbf x).

Choose a length LL and an energy E0E_0, and define

y=xL,p0=mE0,S0=p0L.\mathbf y = \frac{\mathbf x}{L}, \qquad p_0 = \sqrt{mE_0}, \qquad S_0 = p_0L.

With

v(y)=V(Ly)E0,E=EE0,ϵ=ℏS0,\begin{aligned} v(\mathbf y) &= \frac{V(L\mathbf y)}{E_0}, \\ \mathcal E &= \frac{E}{E_0}, \\ \epsilon &= \frac{\hbar}{S_0}, \end{aligned}

the stationary Schrödinger equation becomes

[−ϵ22∇y2+v(y)]ψ(y)=Eψ(y).\left[ -\frac{\epsilon^2}{2}\nabla_y^2 + v(\mathbf y) \right]\psi(\mathbf y) = \mathcal E\psi(\mathbf y).

Now ϵ→0\epsilon\to0 is meaningful: the scaled potential, geometry, and scaled energy can be held fixed while the wavelength becomes short compared with LL. The same dimensionless family can be approached physically by increasing a mass, momentum, length, or collective action scale. Those realizations need not have identical experimental constraints, but they share the same leading asymptotic structure when the nondimensionalized problem agrees.

The limit is usually singular. The highest derivative is multiplied by ϵ2\epsilon^2, so setting ϵ=0\epsilon=0 removes the differential order and cannot reproduce boundary conditions, turning-point layers, tunneling tails, or interference. WKB keeps the rapidly varying phase before expanding:

ψ=exp⁡[iϵ∑k=0∞ϵkSk].\psi = \exp\left[ \frac{i}{\epsilon} \sum_{k=0}^{\infty} \epsilon^k S_k \right].

The classical Hamilton–Jacobi equation appears at leading order, but the quantum solution still requires transport amplitudes, branch sums, phase indices, and uniform repairs. This is why a semiclassical limit is an asymptotic construction rather than a substitution.

Large Quantum Numbers and Fixed Classical Action

Section titled “Large Quantum Numbers and Fixed Classical Action”

Large quantum number is often a symptom of semiclassical scaling, not its definition. For a one-dimensional periodic orbit, use the action convention

J(E)=12π∮p dq.J(E) = \frac{1}{2\pi} \oint p\,dq.

The leading EBK rule is

Jn=ℏ(n+μ4),J_n = \hbar \left( n+\frac{\mu}{4} \right),

where μ\mu is the Maslov index of the closed cycle. To compare with a fixed classical orbit, take the joint limit

ℏ→0,n→∞,Jn→J.\hbar\to0, \qquad n\to\infty, \qquad J_n\to J.

Thus nn grows because a fixed classical action contains more quantum cells as ℏ\hbar decreases. Sending n→∞n\to\infty at fixed ℏ\hbar instead moves through different classical actions and often through different energies. That can also be a useful asymptotic regime, but it is not the same family unless an additional rescaling identifies the classical problems.

Let the classical energy be E=H(J)E=H(J) and define the angular frequency

ω(J)=dHdJ.\omega(J) = \frac{dH}{dJ}.

For a fixed integer rr, the EBK rule gives

Jn+r−Jn=rℏ.J_{n+r}-J_n = r\hbar.

Taylor expansion at fixed JJ then yields

En+r−En=H(Jn+rℏ)−H(Jn)=rℏ ω(Jn)+O(ℏ2).\begin{aligned} E_{n+r}-E_n &= H(J_n+r\hbar)-H(J_n) \\ &= r\hbar\,\omega(J_n) + O(\hbar^2). \end{aligned}

Therefore

En+r−Enℏ⟶rω(J).\frac{E_{n+r}-E_n}{\hbar} \longrightarrow r\omega(J).

This is a precise spectral form of correspondence: nearby Bohr frequencies approach harmonics of the classical orbital frequency. It does not say that all absolute level spacings vanish. For the harmonic oscillator, ΔE=ℏω\Delta E=\hbar\omega is independent of nn at fixed ℏ\hbar; for a box, adjacent spacings grow with nn. What often becomes small is the spacing relative to the total energy or to the experimental energy scale.

Write a classical observable along an invariant orbit as

A(J,θ)=∑r∈ZAr(J)eirθ,A(J,\theta) = \sum_{r\in\mathbb Z} A_r(J)e^{ir\theta},

with

Ar(J)=12π∫02πA(J,θ)e−irθ dθ.A_r(J) = \frac{1}{2\pi} \int_0^{2\pi} A(J,\theta)e^{-ir\theta}\,d\theta.

Under regularity and quantization assumptions, semiclassical correspondence gives the leading relation

⟨n+r∣A^∣n⟩∼Ar(Jn)\langle n+r\vert\hat A\vert n\rangle \sim A_r(J_n)

for fixed rr in the joint large-nn, small-ℏ\hbar limit. Phase conventions for the eigenstates can alter the phase assigned to each matrix element, but transition strengths and the matching of harmonic content remain physical. This relation refines the slogan that “quantum transitions reproduce classical radiation frequencies”: the energy differences supply the frequencies, while the matrix elements supply the corresponding classical Fourier amplitudes.

For several integrable degrees of freedom, JJ and rr become vectors:

En+r−Enℏ⟶r⋅ω(J),\frac{E_{\mathbf n+\mathbf r}-E_{\mathbf n}}{\hbar} \longrightarrow \mathbf r\cdot\boldsymbol\omega(\mathbf J),

away from resonances, separatrices, singular tori, and regions where the relevant EBK lattice changes topology.

A highly excited stationary state usually does not resemble a localized classical particle. Its density contains wavelength-scale oscillations, nodes, and interference. The appropriate classical comparison is often a probability measure on an energy shell, tested at finite spatial resolution.

For one-dimensional bound motion between turning points x−x_- and x+x_+, the normalized WKB wavefunction in the allowed region has the form

ψE(x)≃Cp(x;E)cos⁡ΦE(x),ΦE(x)=1ℏ∫x−xp(x′;E) dx′−π4.\begin{aligned} \psi_E(x) &\simeq \frac{C}{\sqrt{p(x;E)}} \cos\Phi_E(x), \\ \Phi_E(x) &= \frac{1}{\hbar} \int_{x_-}^{x}p(x';E)\,dx' -\frac{\pi}{4} . \end{aligned}

where

p(x;E)=2m[E−V(x)].p(x;E) = \sqrt{2m[E-V(x)]}.

A detector that averages over many local wavelengths but over a scale short compared with the variation of pp replaces cos⁡2\cos^2 by 1/21/2. Normalization then gives

∣ψE(x)∣2‾≃2T(E)v(x;E),\overline{\lvert\psi_E(x)\rvert^2} \simeq \frac{2}{T(E)v(x;E)},

where

v(x;E)=p(x;E)mv(x;E) = \frac{p(x;E)}{m}

and T(E)T(E) is the full classical period. The right-hand side is exactly the classical time-spent density: during one period the orbit crosses an interior position twice, spending total time 2 dx/v2\,dx/v there.

The statement is local only away from turning points. The WKB expression diverges as v→0v\to0, while the exact wavefunction remains finite and is described by an Airy uniform approximation. The integrated probability near the turning point can nevertheless have a controlled semiclassical limit. Pointwise formulas, weak limits, and uniform approximations answer different questions.

A box makes the mode of convergence visible

Section titled “A box makes the mode of convergence visible”

For an infinite well on 0<x<L0\lt x\lt L, define kn=2nπ/Lk_n=2n\pi/L. Then

ρn(x)=2Lsin⁡2(nπxL)=1L[1−cos⁡(knx)].\begin{aligned} \rho_n(x) &= \frac{2}{L} \sin^2\left( \frac{n\pi x}{L} \right) \\ &= \frac{1}{L} \left[ 1-\cos(k_nx) \right]. \end{aligned}

At a fixed interior point, the cosine generally keeps oscillating as n→∞n\to\infty, so ρn(x)\rho_n(x) has no pointwise limit. For a smooth detector response g(x)g(x), however,

∫0Lg(x)ρn(x) dx=1L∫0Lg(x) dx−1L∫0Lg(x)cos⁡(knx) dx.\begin{gathered} \int_0^L g(x)\rho_n(x)\,dx \\ = \frac{1}{L} \int_0^L g(x)\,dx \\ {}- \frac{1}{L} \int_0^L g(x) \cos(k_nx)\,dx. \end{gathered}

The oscillatory integral tends to zero under mild regularity assumptions. Hence

ρn⇀1L,\rho_n \rightharpoonup \frac{1}{L},

which is weak convergence to the uniform classical position distribution.

A rapidly oscillating high-n box probability density around the uniform classical density, with a finite-width detector bin averaging over several oscillations.

A high-nn density need not settle point by point. A detector bin satisfying L/n≪Δx≪LL/n\ll\Delta x\ll L resolves the classical spatial scale but not each quantum fringe, so its averaged probability approaches the uniform classical measure.

Weak convergence is not permission to discard all fine structure. An observable deliberately tuned to the wavelength-scale oscillations can retain an order-one quantum signal. The observable class must therefore be fixed before the limit is taken.

Stationary-state correspondence concerns distributions and frequencies. Particle-like motion requires a different state class, usually a packet localized in both position and momentum.

For

H^=p^22m+V(x^),\hat H = \frac{\hat p^2}{2m} + V(\hat x),

Ehrenfest’s equations are exact:

d⟨x^⟩dt=⟨p^⟩m,d⟨p^⟩dt=−⟨V′(x^)⟩.\frac{d\langle\hat x\rangle}{dt} = \frac{\langle\hat p\rangle}{m}, \qquad \frac{d\langle\hat p\rangle}{dt} = -\langle V'(\hat x)\rangle.

They become a closed classical system only when

⟨V′(x^)⟩≃V′(⟨x^⟩).\langle V'(\hat x)\rangle \simeq V'(\langle\hat x\rangle).

Let

xˉ=⟨x^⟩,σx2=⟨(x^−xˉ)2⟩.\bar x = \langle\hat x\rangle, \qquad \sigma_x^2 = \langle(\hat x-\bar x)^2\rangle.

Expanding the force about the packet center gives

⟨V′(x^)⟩=V′(xˉ)+12V′′′(xˉ)σx2+16V(4)(xˉ)⟨(x^−xˉ)3⟩+⋯ .\begin{aligned} \langle V'(\hat x)\rangle &= V'(\bar x) + \frac{1}{2} V'''(\bar x)\sigma_x^2 \\ &\quad + \frac{1}{6} V^{(4)}(\bar x) \langle(\hat x-\bar x)^3\rangle + \cdots. \end{aligned}

The packet center follows Newton’s equation while the higher-moment corrections remain small on the force scale of interest. The closure is exact for potentials at most quadratic, but generic packets spread, shear, or split in nonlinear potentials.

Three conclusions should be kept separate:

  1. Center correspondence: xˉ(t)\bar x(t) and pˉ(t)\bar p(t) remain close to one classical trajectory.
  2. Shape correspondence: the packet remains narrow and approximately Gaussian.
  3. Observable correspondence: selected expectation values agree with a classical ensemble, even if one-packet localization has failed.

The first can fail while the third remains useful. A semiclassical propagator may accurately sum many classical trajectories after a single Gaussian packet has stretched beyond recognition. Ehrenfest Theorem Revisited derives the hierarchy of moments, while Wave Packets and Classical Trajectories owns the localization and spreading criteria. Coherent-State Semiclassics Preview compares one-packet variational propagation with trajectory-ensemble methods.

A semiclassical approximation proved or derived for each fixed time need not remain accurate when time grows as ϵ\epsilon decreases. Schematically, a statement such as

lim⁡ϵ→0sup⁡0≤t≤T∣Qϵ(t)−Qcl(t)∣=0\lim_{\epsilon\to0} \sup_{0\le t\le T} \lvert Q_\epsilon(t)-Q_{\mathrm{cl}}(t) \rvert = 0

for every fixed TT does not establish the same result for T=T(ϵ)→∞T=T(\epsilon)\to\infty.

This order-of-limits issue is central:

lim⁡ϵ→0lim⁡t→∞Qϵ(t)andlim⁡t→∞lim⁡ϵ→0Qϵ(t)\lim_{\epsilon\to0} \lim_{t\to\infty} Q_\epsilon(t) \qquad \text{and} \qquad \lim_{t\to\infty} \lim_{\epsilon\to0} Q_\epsilon(t)

need not agree. At long times, small frequency errors accumulate into phase errors; neighboring classical trajectories shear apart; caustics proliferate; discrete quantum recurrences can become visible; and exponentially small terms may become comparable to the nominal leading approximation.

For regular motion, packet deformation is often controlled by algebraic shear and by derivatives of the frequencies with respect to action. For chaotic motion, a linearized separation grows locally as

δz(t)∼δz0eλt,\delta z(t) \sim \delta z_0 e^{\lambda t},

where λ\lambda is a positive Lyapunov exponent in the relevant region. If LzL_z is a classical phase-space scale at which localization is lost, the estimate

tE∼1λlog⁡(Lzδz0)t_{\mathrm E} \sim \frac{1}{\lambda} \log\left( \frac{L_z}{\delta z_0} \right)

defines an Ehrenfest time. For a minimum-uncertainty packet, δz0\delta z_0 scales with a power of ℏ\hbar, so tEt_{\mathrm E} grows only logarithmically with the inverse semiclassical parameter. The coefficient depends on which width, observable, flow direction, and phase-space norm define breakdown; there is no universal context-free prefactor.

The conclusion is not that “quantum trajectories become chaotic.” Closed quantum evolution is linear and does not possess classical trajectory separation in Hilbert space in that naive sense. Quantum signatures of classical chaos instead appear through spectral statistics, eigenfunction structure, periodic-orbit contributions, transport, scrambling diagnostics, and the time dependence of selected observables. Quantum Chaos Preview is the canonical introduction to those diagnostics.

Closed-System Semiclassics and Decoherence

Section titled “Closed-System Semiclassics and Decoherence”

Semiclassical approximation and decoherence solve different problems.

  • Semiclassical approximation organizes closed-system amplitudes in powers or asymptotic scales of ℏ/S0\hbar/S_0, often around classical trajectories or invariant manifolds.
  • Coarse graining restricts which oscillations or phase-space structures an observable resolves.
  • Decoherence suppresses locally observable interference between alternatives by entangling them with unobserved environmental degrees of freedom.

A closed high-action system can remain in a coherent superposition whose interference is visible to a sufficiently fine measurement. Conversely, environmental decoherence can make records robust even when a simple WKB expansion is not the right computational tool. In realistic classical behavior the mechanisms may cooperate, but neither should be smuggled into the assumptions of the other. See Decoherence and the Classical-Limit Bridge for the open-system analysis.

The classical object and the appropriate notion of agreement depend on the quantum question.

Quantum questionClassical objectAppropriate comparisonMain method or repair
Bound-state energiesActions and invariant toriLevel spacings, counting functions, smoothed spectral densityBohr–Sommerfeld Quantization, EBK Quantization
Highly excited eigenstate densityTime-spent or invariant measureWeak or coarse-grained convergenceWKB Approximation plus turning-point repair
Localized packet motionTrajectory and stability matrixMoments or smooth observables over a stated timeEhrenfest analysis, Gaussian methods, coherent-state semiclassics
Propagator or transition amplitudeBoundary-value trajectoriesOscillatory asymptotics including phase and prefactorStationary Phase, Semiclassical Propagator
Tunneling probabilityComplex or forbidden classical actionLogarithmic asymptotics of exponentially small termsForbidden-region WKB and connection formulas
Chaotic spectrum or transportUnstable periodic orbits and classical correlationsSmoothed, statistical, or finite-time quantitiesPeriodic-orbit and quantum-chaos methods

The table also shows why “the quantum answer approaches the classical answer” is too coarse. A wavefunction is not a classical trajectory, an amplitude is not a probability density, and a discrete spectrum is not an orbit. Correspondence relates selected structures after the relevant representation and resolution have been specified.

For a calculation, simulation, or paper, a concise reliability statement can follow this order:

  1. Nondimensionalize. Name the small parameter, such as ϵ=ℏ/(p0L)\epsilon=\hbar/(p_0L).
  2. Define the family. State what changes and what remains fixed as ϵ→0\epsilon\to0.
  3. Name the state class. Distinguish eigenstates, localized packets, mixtures, and trajectory-generated states.
  4. Name the observables and resolution. State whether the claim is pointwise, weak, energy-smoothed, or detector-averaged.
  5. State the time regime. Give fixed-time, one-period, Ehrenfest-time, or other scaling assumptions.
  6. Give the leading classical object. Identify the orbit, torus, invariant measure, Liouville density, or trajectory sum.
  7. Quantify the remainder. Report an asymptotic order, numerical residual, phase error, or empirical convergence test.
  8. List singular sets. Note turning points, caustics, separatrices, resonances, bifurcations, and boundaries where the approximation changes form.

A numerical comparison should vary the dimensionless parameter while keeping the scaled classical problem fixed. Merely refining the numerical grid tests discretization error, not the semiclassical limit. Likewise, agreement of a probability with classical mechanics does not validate a phase-sensitive amplitude.

“Taking ℏ to zero means setting it equal to zero”

Section titled ““Taking ℏ to zero means setting it equal to zero””

The limit is singular. Setting ℏ=0\hbar=0 before constructing the asymptotics removes the derivative term or destroys the oscillatory phase whose stationary points generate classical mechanics.

“Large quantum number makes a state a classical trajectory”

Section titled ““Large quantum number makes a state a classical trajectory””

A high-nn energy eigenstate is stationary up to phase and is generally spread over the classically allowed region. A localized trajectory requires a suitable superposition and a finite-time localization analysis.

“Rapid oscillations are physically absent”

Section titled ““Rapid oscillations are physically absent””

They vanish only for an observable class that does not resolve them. A wavelength-sensitive probe can recover interference that a coarse detector averages away.

“Ehrenfest’s theorem proves classical motion”

Section titled ““Ehrenfest’s theorem proves classical motion””

The theorem gives exact equations for first moments, but those equations do not close for a nonlinear force unless higher moments remain negligible.

“Relative level spacing going to zero means absolute spacing goes to zero”

Section titled ““Relative level spacing going to zero means absolute spacing goes to zero””

The harmonic oscillator has constant absolute spacing at fixed ℏ\hbar, and the box spacing grows with nn. Classical spectral appearance depends on the comparison scale and measurement resolution.

Semiclassical amplitudes require stability prefactors, Maslov phases, branch sums, and uniformization near caustics. A small trajectory error can produce an order-one phase error when divided by ℏ\hbar.

“Classical chaos invalidates all semiclassics immediately”

Section titled ““Classical chaos invalidates all semiclassics immediately””

Single-packet localization can fail rapidly, but trace formulas, trajectory sums, and statistical correspondence can remain informative in their own regimes.

“Decoherence and the semiclassical limit are the same”

Section titled ““Decoherence and the semiclassical limit are the same””

Decoherence is an open-system suppression of accessible interference. Semiclassical asymptotics can be formulated for an exactly isolated, fully coherent system.

For a broader conceptual audit, see Common Misstatements About the Classical Limit.

1. Nondimensionalize the Schrödinger equation

Section titled “1. Nondimensionalize the Schrödinger equation”

Starting from

[−ℏ22md2dx2+V0f(x/L)]ψ=Eψ,\left[ -\frac{\hbar^2}{2m}\frac{d^2}{dx^2} + V_0 f(x/L) \right]\psi = E\psi,

choose E0E_0, define p0=mE0p_0=\sqrt{mE_0}, and obtain a dimensionless equation. Identify all remaining dimensionless parameters.

Solution

Set

y=xL,E=EE0,u=V0E0,ϵ=ℏp0L.\begin{aligned} y &= \frac{x}{L}, \\ \mathcal E &= \frac{E}{E_0}, \\ u &= \frac{V_0}{E_0}, \\ \epsilon &= \frac{\hbar}{p_0L}. \end{aligned}

Because

d2dx2=1L2d2dy2\frac{d^2}{dx^2} = \frac{1}{L^2} \frac{d^2}{dy^2}

and p02=mE0p_0^2=mE_0, division by E0E_0 gives

[−ϵ22d2dy2+uf(y)]ψ(y)=Eψ(y).\left[ -\frac{\epsilon^2}{2} \frac{d^2}{dy^2} + u f(y) \right]\psi(y) = \mathcal E\psi(y).

The dimensionless data are ϵ\epsilon, the potential ratio uu, the scaled energy E\mathcal E, and any dimensionless shape parameters hidden in ff. A clean semiclassical family sends ϵ→0\epsilon\to0 while the scaled potential and energy are held fixed.

2. Recover the classical frequency from EBK levels

Section titled “2. Recover the classical frequency from EBK levels”

Suppose a one-dimensional integrable system has E=H(J)E=H(J) and

Jn=ℏ(n+μ4).J_n = \hbar \left( n+\frac{\mu}{4} \right).

For fixed integer rr, show that

En+r−Enℏ=rω(Jn)+O(ℏ),\frac{E_{n+r}-E_n}{\hbar} = r\omega(J_n) + O(\hbar),

where ω=dH/dJ\omega=dH/dJ. State the required joint limit.

Solution

The action spacing is

Jn+r−Jn=rℏ.J_{n+r}-J_n = r\hbar.

Taylor expansion gives

H(Jn+rℏ)=H(Jn)+rℏH′(Jn)+r2ℏ22H′′(Jn)+O(ℏ3).\begin{aligned} H(J_n+r\hbar) &= H(J_n) + r\hbar H'(J_n) \\ &\quad + \frac{r^2\hbar^2}{2} H''(J_n) + O(\hbar^3). \end{aligned}

Therefore

En+r−Enℏ=rH′(Jn)+O(ℏ)=rω(Jn)+O(ℏ).\begin{aligned} \frac{E_{n+r}-E_n}{\hbar} &= rH'(J_n) + O(\hbar) \\ &= r\omega(J_n) + O(\hbar). \end{aligned}

The classical orbit is held fixed by taking ℏ→0\hbar\to0 and n→∞n\to\infty with Jn→JJ_n\to J and fixed rr. Taking only n→∞n\to\infty at fixed ℏ\hbar generally changes the classical action.

3. Derive the classical time-spent density

Section titled “3. Derive the classical time-spent density”

In the allowed region of a one-dimensional bound orbit, take

ψ(x)≃Cp(x)cos⁡(S(x)ℏ−π4).\psi(x) \simeq \frac{C}{\sqrt{p(x)}} \cos\left( \frac{S(x)}{\hbar} -\frac{\pi}{4} \right).

Average over several oscillations, normalize over one allowed interval, and show that the result is 2/[Tv(x)]2/[T v(x)].

Solution

Oscillation averaging gives

∣ψ(x)∣2‾=C22p(x).\overline{\lvert\psi(x)\rvert^2} = \frac{C^2}{2p(x)}.

For a full classical period TT, the travel time from the left turning point to the right one is T/2T/2. Since p=mvp=mv,

∫x−x+dxp(x)=1m∫x−x+dxv(x)=T2m.\int_{x_-}^{x_+} \frac{dx}{p(x)} = \frac{1}{m} \int_{x_-}^{x_+} \frac{dx}{v(x)} = \frac{T}{2m}.

Normalization therefore requires

1=C22T2m,C2=4mT.1 = \frac{C^2}{2} \frac{T}{2m}, \qquad C^2 = \frac{4m}{T}.

Substitution yields

∣ψ(x)∣2‾=2mTp(x)=2Tv(x).\overline{\lvert\psi(x)\rvert^2} = \frac{2m}{Tp(x)} = \frac{2}{Tv(x)}.

Classically, the particle passes each interior interval dxdx twice per period, so the fraction of a period spent there is 2 dx/[Tv(x)]2\,dx/[Tv(x)]. The formulas agree away from turning-point layers.

4. Estimate the first nonclassical force correction

Section titled “4. Estimate the first nonclassical force correction”

Let a packet have mean xˉ\bar x, variance σx2\sigma_x^2, and vanishing third central moment. Expand ⟨V′(x^)⟩\langle V'(\hat x)\rangle through second order in the packet displacement. Apply the result to

V(x)=12mω2x2+αx4.V(x) = \frac{1}{2}m\omega^2x^2 + \alpha x^4.
Solution

Write x^=xˉ+δx^\hat x=\bar x+\delta\hat x, with ⟨δx^⟩=0\langle\delta\hat x\rangle=0. Taylor expansion gives

⟨V′(x^)⟩=V′(xˉ)+12V′′′(xˉ)σx2+⋯ .\langle V'(\hat x)\rangle = V'(\bar x) + \frac{1}{2} V'''(\bar x)\sigma_x^2 + \cdots.

For the quartic oscillator,

V′(x)=mω2x+4αx3,V′′′(x)=24αx.\begin{aligned} V'(x) &= m\omega^2x + 4\alpha x^3, \\ V'''(x) &= 24\alpha x. \end{aligned}

Hence

⟨V′(x^)⟩≃mω2xˉ+4αxˉ3+12αxˉσx2.\langle V'(\hat x)\rangle \simeq m\omega^2\bar x + 4\alpha\bar x^3 + 12\alpha\bar x\sigma_x^2.

The last term is the leading width correction. It vanishes for a purely quadratic potential and grows as the packet spreads. Near xˉ=0\bar x=0 this particular correction vanishes by symmetry, so one should compare the first nonzero moment correction rather than divide mechanically by the classical force.

Assume a localized phase-space width grows as

δz(t)=δz0eλt.\delta z(t) = \delta z_0e^{\lambda t}.

Find the time at which it reaches a classical scale LzL_z. If δz0/Lz=Cϵ1/2\delta z_0/L_z=C\epsilon^{1/2}, express the answer in terms of ϵ\epsilon and explain why the coefficient is not universal.

Solution

Set δz(tE)=Lz\delta z(t_{\mathrm E})=L_z:

Lz=δz0eλtE.L_z = \delta z_0e^{\lambda t_{\mathrm E}}.

Thus

tE=1λlog⁡(Lzδz0).t_{\mathrm E} = \frac{1}{\lambda} \log\left( \frac{L_z}{\delta z_0} \right).

With δz0/Lz=Cϵ1/2\delta z_0/L_z=C\epsilon^{1/2},

tE=12λlog⁡(1ϵ)−1λlog⁡C.t_{\mathrm E} = \frac{1}{2\lambda} \log\left( \frac{1}{\epsilon} \right) -\frac{1}{\lambda}\log C.

The logarithmic scaling is robust under these assumptions, but the prefactor and additive term depend on the initial state’s width, the expanding direction, the chosen norm, the breakdown threshold, and the observable being monitored.

6. Distinguish pointwise and weak convergence in a box

Section titled “6. Distinguish pointwise and weak convergence in a box”

For

ρn(x)=1L[1−cos⁡(2nπxL)],\rho_n(x) = \frac{1}{L} \left[ 1-\cos\left( \frac{2n\pi x}{L} \right) \right],

show that no pointwise limit exists for generic fixed xx, but that for every continuously differentiable gg,

∫0Lg(x)ρn(x) dx⟶1L∫0Lg(x) dx.\int_0^L g(x)\rho_n(x)\,dx \longrightarrow \frac{1}{L} \int_0^L g(x)\,dx.

Obtain an explicit O(1/n)O(1/n) bound on the oscillatory term.

Solution

At generic fixed xx, the phase 2nπx/L2n\pi x/L continues to wind as nn increases, so the cosine does not settle to a single value. Thus ρn(x)\rho_n(x) does not converge pointwise in general.

Let

kn=2nπL.k_n = \frac{2n\pi}{L}.

Let

In=∫0Lg(x)cos⁡(knx) dx.I_n = \int_0^L g(x)\cos(k_nx)\,dx.

Integration by parts gives

In=[g(x)sin⁡(knx)kn]0L−1kn∫0Lg′(x)sin⁡(knx) dx.\begin{aligned} I_n &= \left[ \frac{g(x)\sin(k_nx)}{k_n} \right]_0^L \\ &\quad -\frac{1}{k_n} \int_0^L g'(x)\sin(k_nx)\,dx. \end{aligned}

Because sin⁡(knL)=sin⁡(2nπ)=0\sin(k_nL)=\sin(2n\pi)=0, the boundary term vanishes. Therefore

∣In∣≤1kn∫0L∣g′(x)∣ dx=O(1n).\begin{aligned} \lvert I_n\rvert &\le \frac{1}{k_n} \int_0^L\lvert g'(x)\rvert\,dx \\ &= O\left( \frac{1}{n} \right). \end{aligned}

The oscillatory contribution to the measured probability vanishes, leaving

lim⁡n→∞∫0Lg(x)ρn(x) dx=1L∫0Lg(x) dx.\lim_{n\to\infty} \int_0^L g(x)\rho_n(x)\,dx = \frac{1}{L} \int_0^L g(x)\,dx.

This proves weak convergence for the stated observable class without claiming pointwise convergence.

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