Skip to content

Trace-class operators are the infinite-dimensional operators for which the trace is absolutely convergent and independent of an orthonormal basis. They form a Banach ideal whose positive trace-one elements are density operators. Absolute summability is essential: a finite or conditionally convergent diagonal sum in one basis is not an adequate definition.

Helpful background. Compact operators supplies singular values; Hilbert–Schmidt operators supplies the product estimate used below.

For a compact operator TT on a separable complex Hilbert space, let sn(T)s_n(T) be its singular values, counted with multiplicity. Define

S1(H)={T:∑nsn(T)<∞},∥T∥1=∑nsn(T)=Tr⁡∣T∣.\mathcal S_1(\mathcal H) =\left\{T:\sum_ns_n(T)<\infty\right\}, \qquad \|T\|_1=\sum_ns_n(T)=\operatorname{Tr}|T|.

For a positive bounded operator AA, its possibly infinite trace can first be defined as ∑n⟨en,Aen⟩\sum_n\langle e_n,Ae_n\rangle. Basis independence follows by expressing each term as ∥A1/2en∥2\|A^{1/2}e_n\|^2 and applying Parseval with nonnegative sums. Finiteness forces A1/2A^{1/2} to be Hilbert–Schmidt, hence compact, and therefore forces AA to be compact. This reconciles the positive-trace definition with the singular-value definition.

The singular-value decomposition gives

T=∑nsn∣un⟩⟨vn∣T=\sum_ns_n|u_n\rangle\langle v_n|

with trace-norm convergence. In particular finite-rank operators are dense in S1\mathcal S_1. Its norm is stronger than the operator and Hilbert–Schmidt norms:

∥T∥≤∥T∥2≤∥T∥1.\|T\|\leq\|T\|_2\leq\|T\|_1.

Completeness and ideal inequalities are part of the standard trace-ideal theory developed by Simon.

For a rank-one operator, Tr⁡(∣u⟩⟨v∣)=⟨v,u⟩\operatorname{Tr}(|u\rangle\langle v|)=\langle v,u\rangle. The singular-value expansion therefore defines

Tr⁡T=∑nsn⟨vn,un⟩,∣Tr⁡T∣≤∥T∥1.\operatorname{Tr}T =\sum_ns_n\langle v_n,u_n\rangle, \qquad |\operatorname{Tr}T|\leq\|T\|_1.

This agrees with the diagonal sum in every orthonormal basis. To justify exchanging the two sums, apply Cauchy–Schwarz to each rank-one term:

∑j∣⟨ej,un⟩⟨vn,ej⟩∣≤∥un∥ ∥vn∥=1.\sum_j |\langle e_j,u_n\rangle\langle v_n,e_j\rangle| \leq\|u_n\|\,\|v_n\|=1.

Multiplication by sns_n and summation gives a bound by ∑nsn\sum_ns_n. Thus the double series is absolutely convergent, and the exchange is legitimate. The proof identifies precisely what finite-matrix manipulations conceal.

For positive TT, the trace equals ∥T∥1\|T\|_1. For nonpositive TT, the trace can vanish even though its trace norm is large. The trace measures a signed or complex sum; the trace norm measures total singular-value weight.

If T∈S1T\in\mathcal S_1 and A,BA,B are bounded, then

∥ATB∥1≤∥A∥ ∥T∥1 ∥B∥,Tr⁡(AT)=Tr⁡(TA).\|ATB\|_1\leq\|A\|\,\|T\|_1\,\|B\|, \qquad \operatorname{Tr}(AT)=\operatorname{Tr}(TA).

Prove cyclicity first for rank-one operators and then pass to finite-rank approximants in trace norm. Both products converge in trace norm by the ideal bound, and the trace is continuous in that norm. More generally, if S,TS,T are Hilbert–Schmidt, then both STST and TSTS are trace class and their traces agree.

An unbounded operator is not covered by these statements. Expressions such as Tr⁡(ρH)\operatorname{Tr}(\rho H) require a separate integrability or product-domain argument. The density-operator treatment defines unbounded expectations through spectral measures.

Even for bounded operators, having a trace-class commutator does not imply its trace is zero. Let SS be the unilateral shift, Sen=en+1Se_n=e_{n+1}. Then S∗S=IS^*S=I and SS∗=I−P1SS^*=I-P_1, so

[S∗,S]=P1,Tr⁡[S∗,S]=1.[S^*,S]=P_1, \qquad \operatorname{Tr}[S^*,S]=1.

Neither product is trace class. Subtracting their divergent traces would be invalid.

Consider Ten=n−αenTe_n=n^{-\alpha}e_n for α>0\alpha>0. It is positive and compact, but its trace is finite exactly for α>1\alpha>1. In that regime

ρα=1ζ(α)∑n=1∞n−α∣en⟩⟨en∣\rho_\alpha =\frac{1}{\zeta(\alpha)} \sum_{n=1}^{\infty}n^{-\alpha}|e_n\rangle\langle e_n|

is a density operator. At α=1\alpha=1, no finite normalizing constant exists. Every finite cutoff can be normalized, yet that does not produce a trace-norm limit of states as the cutoff grows. Normalization at finite dimension cannot replace a summability proof.

For an arbitrary bounded observable AA, the trace estimate now ensures ∣Tr⁡(ραA)∣≤∥A∥|\operatorname{Tr}(\rho_\alpha A)|\leq\|A\|. The physical expectation is finite without any reference to a coordinate representation.

  1. For the above ρα\rho_\alpha, let RNR_N be its unnormalized spectral truncation. Compute ∥ρα−RN∥1\|\rho_\alpha-R_N\|_1 and the error bound for a bounded measurement effect.
Solution

The difference is positive, so its norm is the tail probability ζ(α)−1∑n>Nn−α\zeta(\alpha)^{-1}\sum_{n>N}n^{-\alpha}. For 0≤E≤I0\leq E\leq I, the prediction error is at most this tail by trace duality. This is the rigorous content of truncating a density-matrix calculation.

  1. Why does a diagonal operator with entries (−1)n/n(-1)^n/n fail to be trace class despite convergence of its displayed diagonal sum?
Solution

Its singular values are 1/n1/n, whose sum diverges. The alternating sum depends on ordering and cannot be the basis-independent trace-class trace. A conditionally convergent sum is insufficient.

  • Simon, Barry, Trace Ideals and Their Applications, 2nd ed., Mathematical Surveys and Monographs 120, American Mathematical Society, 2005 — trace ideals, basis independence, and cyclicity. Publisher.