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A real function of a sharp observable describes a deterministic relabeling of its outcomes. Squaring momentum produces kinetic energy, thresholding position produces a yes/no region event, and binning energy produces a coarse readout. The spectral measure specifies the new probabilities and shows precisely which distinctions the relabeling loses.

Helpful background. Projection-Valued Measures defines sharp events. Functional Calculus constructs functions of operators and determines their domains; here we explore what those functions mean for measurement outcomes.

Relabeling pushes the spectral measure forward

Section titled “Relabeling pushes the spectral measure forward”

Let AA be self-adjoint and f:R→Rf:\mathbb R\to\mathbb R Borel measurable and finite-valued. The observable B=f(A)B=f(A) is self-adjoint on its natural spectral-integrability domain. Its PVM is

EB(Γ)=EA(f−1(Γ)).E_B(\Gamma)=E_A(f^{-1}(\Gamma)).

This follows because measuring whether f(a)f(a) belongs to Γ\Gamma is the same event as asking whether aa belongs to its preimage. Mathematically, indicator functions compose: 1Γ(f(A))=(1Γ∘f)(A)\mathbf1_\Gamma(f(A))=(\mathbf1_\Gamma\circ f)(A).

For any state ρ\rho, the outcome measures obey

μρB(Γ)=μρA(f−1(Γ)).\mu_\rho^B(\Gamma) =\mu_\rho^A(f^{-1}(\Gamma)).

Thus μρB=f∗μρA\mu_\rho^B=f_*\mu_\rho^A, the ordinary probability pushforward. The theorem applies to atoms and singular measures as well as to densities; a Jacobian formula is a special case that requires additional regularity.

A complex-valued function produces a normal operator, not generally a self-adjoint observable with real outcomes. To interpret it as a pair of real commuting outputs, use the real and imaginary parts and their joint PVM.

For a one-dimensional free particle,

H0=P22m.H_0=\frac{P^2}{2m}.

The event H0∈[E1,E2]H_0\in[E_1,E_2], with 0<E1<E20<E_1<E_2, corresponds to the two momentum intervals

[−2mE2,−2mE1] ∪ [2mE1,2mE2].[-\sqrt{2mE_2},-\sqrt{2mE_1}] \ \cup\ [\sqrt{2mE_1},\sqrt{2mE_2}].

Both directions contribute to the same energy bin. The energy observable therefore cannot distinguish right-moving and left-moving components.

If the momentum density is w(p)w(p), the energy density for E>0E>0 is

v(E)=m2mE[w(2mE)+w(−2mE)].v(E)=\frac{m}{\sqrt{2mE}} \left[w(\sqrt{2mE})+w(-\sqrt{2mE})\right].

Each inverse branch contributes its own absolute Jacobian ∣dp/dE∣=m/2mE|dp/dE|=m/\sqrt{2mE}. Omitting a branch discards probability. The density can have an integrable threshold singularity at zero even when ww is regular there.

This relation concerns outcome probabilities. Whether a particular apparatus physically measures momentum and then discards its sign, or directly measures energy, is a separate instrumental question.

For a Borel set Δ\Delta, choose f=1Δf=\mathbf1_\Delta. Then f(A)=EA(Δ)f(A)=E_A(\Delta) is a projection with outcomes zero and one.

For a countable partition {Δj}\{\Delta_j\} and distinct real labels bjb_j, the binning function gives

B=∑jbjEA(Δj)B=\sum_j b_jE_A(\Delta_j)

on its natural domain. If the labels are bounded, so is BB, even when AA is unbounded. The labels specify a numerical output convention; the bins specify which physical distinctions remain.

Deterministic coarse graining preserves projection-valuedness because preimages preserve intersections. Noisy post-processing is different. If a stochastic kernel k(Γ∣a)k(\Gamma|a) describes random readout error, the effect becomes

F(Γ)=∫k(Γ∣a) dEA(a),F(\Gamma)=\int k(\Gamma|a)\,dE_A(a),

which generally is not idempotent. A noisy observable is therefore usually a POVM rather than a PVM.

Lost information and invertible relabeling

Section titled “Lost information and invertible relabeling”

If ff is injective on the relevant spectral space and has a measurable inverse there, the original events can be recovered from the relabeled observable. In that case AA is a measurable function of BB.

For a noninjective ff, distinct spectral channels can merge. This can increase multiplicity even if AA has multiplicity one. The map p↦p2p\mapsto p^2 is the simplest example. The distinction is carried by the PVM, not just by the numerical set σ(B)\sigma(B).

For continuous ff on the compact spectrum of a bounded AA, spectral mapping gives σ(f(A))=f(σ(A))\sigma(f(A))=f(\sigma(A)). For general Borel functions, raw pointwise images can include values attained only on spectrally null sets; spectral support and essential range are the appropriate replacements.

Coarse probabilities do not determine coarse state updates

Section titled “Coarse probabilities do not determine coarse state updates”

Suppose two orthogonal projections P1,P2P_1,P_2 are merged into P=P1+P2P=P_1+P_2. A direct ideal measurement of the coarse event has unnormalized Lüders update PρPP\rho P. Measuring the fine outcomes and forgetting which occurred instead gives

P1ρP1+P2ρP2.P_1\rho P_1+P_2\rho P_2.

The probabilities agree, since both traces equal Tr⁡(ρP)\operatorname{Tr}(\rho P). The states can differ because the second procedure removes coherence between the two subspaces, whereas the first can retain it. A function of an observable specifies outcome events, not a unique measurement instrument.

For ψ=(∣1⟩+∣2⟩)/2\psi=(|1\rangle+|2\rangle)/\sqrt2, compare the two updates above when Pj=∣j⟩⟨j∣P_j=|j\rangle\langle j|.

Solution

The coarse projector is the identity on the two-dimensional subspace, so direct Lüders conditioning leaves the pure state ∣ψ⟩⟨ψ∣|\psi\rangle\langle\psi|. Fine measurement followed by forgetting gives the mixed state 12(∣1⟩⟨1∣+∣2⟩⟨2∣)\tfrac12(|1\rangle\langle1|+|2\rangle\langle2|). Both assign probability one to the coarse event but differ on measurements sensitive to the relative phase.

Show that the free-particle energy density integrates to the total momentum probability.

Solution

Apply E=p2/(2m)E=p^2/(2m) separately on p>0p>0 and p<0p<0. Each branch transforms its Jacobian back to dpdp, giving ∫0∞v(E) dE=∫Rw(p) dp\int_0^\infty v(E)\,dE=\int_{\mathbb R}w(p)\,dp. For an absolutely continuous momentum measure there is no atom at p=0p=0 to add separately.

  • P. Busch, P. Lahti, J.-P. Pellonpää, and K. Ylinen, Quantum Measurement, Springer, 2016, doi:10.1007/978-3-319-43389-9 — post-processing, sharpness, and instruments.
  • B. C. Hall, Quantum Theory for Mathematicians, Graduate Texts in Mathematics 267, Springer, 2013, doi:10.1007/978-1-4614-7116-5 — functions of observables and spectral representations.
  • G. Teschl, Mathematical Methods in Quantum Mechanics: With Applications to Schrödinger Operators, 2nd ed., American Mathematical Society, 2014, author’s book page — spectral pushforwards and free-particle representation.