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A normal state preserves increasing limits of bounded positive observables. On B(H)\mathcal B(\mathcal H) this condition is equivalent to representation by a density operator. Normality is therefore the precise additional hypothesis behind the statement that every quantum state is a density matrix; positivity and normalization alone do not imply it in infinite dimensions.

Helpful background. Density operators supplies trace-class states; states as positive functionals supplies the larger algebraic state space.

A state ω\omega on B(H)\mathcal B(\mathcal H) is a positive normalized linear functional. It is normal if, for every increasing norm-bounded net of positive operators AαA_\alpha with supremum AA,

ω(A)=sup⁡αω(Aα).\omega(A)=\sup_\alpha\omega(A_\alpha).

The supremum exists in B(H)\mathcal B(\mathcal H) and is the strong-operator limit. Nets are the general definition; on a separable Hilbert space the sequential formulations used below suffice for the density-operator criterion. Normality is also equivalent to ultraweak continuity.

For orthogonal projections PnP_n, the sum ∑nPn\sum_nP_n exists strongly as the projection onto the closed span of their ranges. Normality gives countable additivity:

ω ⁣(∑nPn)=∑nω(Pn).\omega\!\left(\sum_nP_n\right)=\sum_n\omega(P_n).

Finite additivity follows from linearity for every state. Countable additivity requires the continuity condition because the infinite sum need not converge in operator norm.

Let ρ=∑kpk∣uk⟩⟨uk∣\rho=\sum_kp_k|u_k\rangle\langle u_k| be a density operator. For a bounded increasing sequence An↑AA_n\uparrow A,

ωρ(An)=∑kpk⟨uk,Anuk⟩.\omega_\rho(A_n)=\sum_kp_k\langle u_k,A_nu_k\rangle.

Each summand increases to its value at AA. Monotone convergence exchanges the sum and the limit. For a general increasing net the same conclusion follows by first controlling the trace-weight tail and then handling a finite set of vectors. Hence ωρ\omega_\rho is normal.

This argument shows more than formal trace notation: it explains why a countably complete measurement has total probability one. The same normality extends to the bounded Borel functional calculus of a self-adjoint observable, producing the usual countably additive spectral probability measure.

Recovering a density operator from normality

Section titled “Recovering a density operator from normality”

Assume now that H\mathcal H is separable and ω\omega is normal. Let PNP_N project onto the first NN vectors of an orthonormal basis. Then PN↑IP_N\uparrow I strongly, so ω(PN)↑1\omega(P_N)\uparrow1.

Restriction of ω\omega to the finite matrix algebra PNB(H)PNP_N\mathcal B(\mathcal H)P_N determines a unique positive matrix ρN\rho_N through the finite-dimensional trace pairing. The matrices are compatible:

PNρMPN=ρN(M≥N),Tr⁡ρN=ω(PN)≤1.P_N\rho_MP_N=\rho_N \quad(M\geq N), \qquad \operatorname{Tr}\rho_N=\omega(P_N)\leq1.

Their entries define a positive bounded quadratic form on finite-support vectors, with norm at most one. It extends to a positive operator ρ\rho whose finite diagonal sums approach one. Thus ρ\rho is trace class and Tr⁡ρ=1\operatorname{Tr}\rho=1.

The functionals agree on finite-rank operators by construction. To pass to arbitrary bounded AA, control the cutoff error using the Cauchy–Schwarz inequality for positive functionals. Writing QN=I−PNQ_N=I-P_N gives

∣ω(A)−ω(PNAPN)∣≤2∥A∥ω(QN)⟶0.|\omega(A)-\omega(P_NAP_N)| \leq2\|A\|\sqrt{\omega(Q_N)}\longrightarrow0.

The corresponding density-operator cutoff error also vanishes. Hence ω(A)=Tr⁡(ρA)\omega(A)=\operatorname{Tr}(\rho A) for every bounded AA. Uniqueness follows because the rank-one matrix units determine every matrix element of ρ\rho. Bratteli and Robinson give the general von Neumann-algebra formulation.

On ℓ2(N)\ell^2(\mathbb N) choose a free ultrafilter U\mathcal U and define

ωU(A)=lim⁡n→U⟨en,Aen⟩.\omega_{\mathcal U}(A) =\lim_{n\to\mathcal U}\langle e_n,Ae_n\rangle.

Every bounded scalar sequence has an ultrafilter limit. The resulting functional is linear, positive, and normalized. For every finite-rank projection PNP_N, however, ωU(PN)=0\omega_{\mathcal U}(P_N)=0, while ωU(I)=1\omega_{\mathcal U}(I)=1. Thus it fails monotone continuity.

It cannot equal Tr⁡(ρ ⋅)\operatorname{Tr}(\rho\,\cdot) for any density operator: all diagonal entries of such a ρ\rho would vanish, forcing trace zero. This example describes probability escaping every fixed finite-dimensional subspace. It is not a normal state with an unusual density matrix.

Normality is relative to a chosen von Neumann algebra and representation. In more general algebras a normal state need not be represented by an intrinsic trace-class element of that algebra. The theorem proved here specifically concerns the full algebra B(H)\mathcal B(\mathcal H).

  1. Let HH have an orthonormal energy eigenbasis. Why does a normal state assign probabilities summing to one to the complete energy measurement?
Solution

The spectral projections sum strongly to II. Normality gives the countable sum of their probabilities as ω(I)=1\omega(I)=1. This is the infinite-outcome extension of the trace rule, and does not imply a finite mean energy.

  1. Show that the ultrafilter state above vanishes on every compact operator.
Solution

An orthonormal sequence converges weakly to zero. Compactness implies ∥Ken∥→0\|Ke_n\|\to0, so ∣⟨en,Ken⟩∣≤∥Ken∥→0|\langle e_n,Ke_n\rangle|\leq\|Ke_n\|\to0. Its ultrafilter limit is therefore zero.

  • Bratteli, Ola, and Derek W. Robinson, Operator Algebras and Quantum Statistical Mechanics 1: C- and W*-Algebras, Symmetry Groups, Decomposition of States*, 2nd ed., Springer, 1987 — normal functionals and representation theory. Publisher.
  • Holevo, Alexander S., Quantum Systems, Channels, Information: A Mathematical Introduction, 2nd revised and expanded ed., De Gruyter, 2019 — the density-operator state formulation in infinite dimensions. Publisher.