Semiclassical measures and Wigner transforms
Take subsequential quadratic-observable limits, retain positivity and tightness hypotheses, and distinguish limiting mass from wavefront support.
On this page
The question for today
What you’ll understand
- Define Wigner distributions with the module's Fourier normalization.
- State subsequential measure compactness and the extra tightness needed for total mass one.
- Compute a coherent-state limit and explain information a quadratic measure can forget.
Rapid oscillations can make wavefunctions converge weakly to zero while their measured intensities stay meaningful. Semiclassical measures capture limits of quadratic expectations against phase-space observables. Wigner distributions provide a concrete representation of those expectations, but need not be positive at finite h. Positivity emerges in the limit through the quantization calculus. Normalization alone does not prevent mass from escaping to infinity, so a probability measure requires more than unit L² norm.
Quadratic observables determine the limit
For an L²-bounded family u_h and compact smooth symbols a, the expectations ⟨a^w u_h,u_h⟩ are bounded. Along a sequence h_j tending to zero, a diagonal compactness argument selects a subsequence on which they converge for all such tests. Sharp Gårding positivity shows that the resulting functional is positive when a is nonnegative, and hence is represented by a positive Radon measure on finite phase space. The measure can depend on the subsequence; this theorem does not choose a unique classical state.
For normalized states its total mass is at most one when testing only compact phase-space symbols. To ensure mass exactly one, impose position and semiclassical-frequency tightness: the L² masses outside large position balls and outside large momentum balls after F_h both tend uniformly to zero in the limiting sense. A common compact energy localization for an elliptic confining Hamiltonian supplies such control. On noncompact spaces, merely writing ||u_h||₂=1 is insufficient because every compact test can miss an escaping family.
Wigner distributions are not ordinary densities
For Schwartz states, the displayed Wigner formula satisfies the exact identity that integrating a against W_h equals the Weyl expectation. Its position marginal is |u_h(x)|² and its momentum marginal is |F_hu_h(ξ)|². The distribution can take negative values because off-diagonal interference enters before the limit. Thus sampling it as an ordinary nonnegative phase-space probability is generally invalid. The positive limiting measure relies on a limiting argument, not on pointwise positivity of every Wigner function.
For a single coherent Gaussian centered at (x₀,ξ₀), the Wigner function happens to be a positive Gaussian on phase space. Its widths shrink as sqrt(h) in both conjugate directions, giving a delta measure at that center. This special positivity should not be generalized to arbitrary superpositions. Cross terms can oscillate, and they may disappear weakly even though they remain visible at finite h. A measure records the leading quadratic mass distribution, not a complete phase-sensitive description of the original state.
Measures see less than the wavefront set
The support of a semiclassical measure lies in the family's semiclassical wavefront set, but equality need not hold. A component of polynomially small amplitude may survive every O(h^∞) test and still contribute vanishing quadratic mass. For instance, combine two separated coherent packets with amplitudes approaching one and sqrt(h), then normalize the sum. Both centers can remain in the wavefront set, while the limiting measure keeps only the first. Different notions of negligibility therefore lead to different supports.
For a fixed normalized envelope χ and a smooth real phase S, the WKB family χ exp(iS/h) has measure |χ(x)|² dx concentrated on ξ=S′(x). This gives a spatially distributed measure on a momentum graph rather than a point mass. Tightness must still be checked when envelopes or centers move with h. A translation to position one over h loses all finite limiting mass, just as a frequency moving to one over h does in the preceding lesson.
Work it through
A point measure from a normalized Gaussian
For ψ_h=(πh)^(−1/4)exp(−(x−x₀)²/(2h))exp(iξ₀(x−x₀)/h), compute its Wigner function and finite semiclassical measure.
Insert the two shifted Gaussian factors in the Wigner integral. Their product is (πh)^(−1/2) exp(−(x−x₀)²/h)exp(−y²/(4h))exp(iξ₀y/h).
The remaining Gaussian Fourier integral equals √(4πh)exp(−(ξ−ξ₀)²/h). Including the factor (2πh)⁻¹ gives W_h=(πh)⁻¹exp(−((x−x₀)²+(ξ−ξ₀)²)/h).
Its total integral is one and each coordinate variance is h/2. Changing variables by the square-root h scale shows that every compact smooth test converges to its value at (x₀,ξ₀). Fixed centers provide tightness, so the limiting measure is the unit delta there.
This coherent state has a positive Gaussian Wigner function and a probability limit δ_(x₀,ξ₀); arbitrary Wigner functions need not share its positivity.
The living notebook
Explore the model
Interactive lab · function
A phase derivative gives a momentum graph
Pause and Reset, then set coefficient a = 0.5 and position x = 1. Treat the graph as phase S(x)=ax²; predict its derivative, and hence WKB momentum, is one. Reset and set both a = 1 and x = 1: the momentum becomes two. For a fixed normalized envelope χ, the limiting measure lies on ξ=2ax with weight |χ|²dx. The instrument draws the phase and tangent only, not a Wigner distribution, its sign, or a quantum probability density.
- y at chosen x
- 0.608
- Tangent slope · 2ax
- 1.35
- Signed area · ax³/3
- 0.182
This lab uses only y = ax². Playback traces the curve within the fixed integration interval from 0 to x; it does not estimate numerical error or change the chosen point. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.
Look forA limiting measure can spread along a momentum graph; it need not be a single classical particle.
Pause & reason
Check your understanding
Your turn
Try it yourself
Translate the normalized coherent Gaussian to center (x₀(h),ξ₀)=(1/h,0). Determine its total Wigner mass and its vague limit against compact phase-space symbols. Identify the missing hypothesis for a probability limit.
Take a moment to make a prediction or work it out on paper. Open a hint when you need one.
Give me a hint
The Gaussian is still normalized at every h, but its position center moves farther than its shrinking width. Distinguish vague compact-test convergence from tight weak probability convergence.
Compare with the solution
The Wigner Gaussian retains total mass one for each h. Every fixed compact position region lies arbitrarily far from its center in units of sqrt(h), so its integral against any compact phase-space test tends to zero. The finite vague limit is therefore the zero measure. Position tightness fails, and consequently the compact-test limit is not a probability measure despite normalization. Momentum tightness alone would not repair this example. This loss of mass is a geometric escape phenomenon, not a failure of positivity or a contradiction in the normalization calculation.
Keep the idea
Take it with you
- L² bounds give positive subsequential measures for compact phase-space observables.
- Position and momentum tightness are needed to retain unit total mass.
- Wigner sign, limiting mass, and semiclassical wavefront support are distinct levels of information.
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