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The state space is convex, closed under countable mixtures, and complete in the trace norm
Statement
Assume the Axiom of Countable Choice. Let be a complex Hilbert space and let be the state space of The state space: density operators, pure and mixed states, and purity. Write for the complex Banach space of trace-class operators on with the trace norm , and for the set of self-adjoint trace-class operators, regarded as a real vector space by restricting scalars from to (A field is a vector space over itself, and over any subfield every -vector space is a -vector space by restricting the scalars, Subfield: a subring of a field closed under inverses of its nonzero elements, and therefore a field with the restricted operations). Then:
(a) Finite mixtures. is a closed real-linear subspace of and hence a real Banach space, and is closed under finite real convex combinations, that is, it contains with any two of its points the whole real segment between them: for all and every real , By induction every finite convex combination with , real and is again an element of .
(b) Countable mixtures. Let and let be real weights with and . Then the series converges absolutely in to an element of : the series converges in , its sum satisfies , , , and , with
(c) Grouping of consecutive blocks. In the situation of (b) let be an increasing sequence with , and for every put where it is assumed that for every (blocks of zero weight are omitted). Then for every , , and in , the series on the left converging absolutely.
(d) Closedness and completeness. is closed in the Banach space , and is complete for the trace-norm metric.
Facts & Assumptions
Given: The complex Hilbert space ; density operators ; real weights ; a block decomposition with , .
Trace class is a Banach ideal (Trace class is a two sided Banach operator ideal): is a linear subspace of on which is a norm and is a Banach space; ; and is trace class with for bounded .
Density operators (Density operators and scalar spectral probability clause (a), The state space: density operators, pure and mixed states, and purity): means , (that is, for all ) and is trace class with .
Positivity, norm and trace of a positive trace-class operator (Self-adjoint, positive, unitary and normal operators, Trace of a positive operator is the sum of its eigenvalues, Trace is absolutely convergent and basis independent): a positive operator satisfies ; for a self-adjoint positive trace-class one has ; the trace is linear and for every trace-class .
Adjoints and operator-norm continuity (Hilbert-adjoint identities): for complex scalars ; ; and . Thus is real-linear and isometric in the operator norm. By [F1], trace-norm convergence implies operator-norm convergence, so if trace-class in trace norm and every is self-adjoint, then and in operator norm. Since for every , uniqueness of limits gives .
Cauchy–Schwarz and its use (Cauchy–Schwarz: , with equality exactly for dependent pairs): ; hence by [F1].
Series in a Banach space and completeness (Series and absolute convergence in a normed space, Banach space, Convergence of a sequence in a metric space: iff in , Complete metric space: every Cauchy sequence converges in the space): an absolutely convergent series in a Banach space converges; a sequence converges to a limit when the distances tend to , and then every subsequence converges to the same limit.
Closed subspaces of complete metric spaces (Closed subspaces of complete metric spaces are complete; the converse under countable choice clause 2): a closed subset of a complete metric space is complete; and the subspace metric is the restriction of the ambient metric.
Convexity convention and restricted scalars (A field is a vector space over itself, and over any subfield every -vector space is a -vector space by restricting the scalars, Subfield: a subring of a field closed under inverses of its nonzero elements, and therefore a field with the restricted operations): a subset of a real or complex vector space is read as convex when for all and all real with , coefficients always real; this is the reading fixed in clause (a) of the statement and used below. A complex vector space is a real vector space by restricting scalars along the subfield , with the same addition and scalar multiplication.
Proof
[(a) finite mixtures are states] Let and real. The combination is trace class by [F1] and self-adjoint because by [F4] with real scalars; it is positive because by [F2] and [F3]; and its trace is by the linearity of the trace in [F3]. Hence it is a density operator, so is closed under finite real convex combinations in the reading of [F8]; the finite-combination statement follows by induction on the number of components.
[(b) the mixture series converges in the trace norm] For every the operator is self-adjoint by [F4] and positive, and it is trace class with by [F1] and [F3]; hence , so the series is absolutely convergent in the Banach space by [F6] and has a trace-class sum ; moreover because the tail is a convergent series of norms of the omitted terms, by [F6]. The self-adjointness argument below places this sum in .
[(a) is a real Banach space] If and , then by [F1] and [F4], . Thus and is closed in . It is a real-linear subspace because sums and real scalar multiples of self-adjoint operators are self-adjoint by [F4], and it is complete in the restricted trace-norm metric by [F7] applied to the complete space of [F1].
[(c) block members are states] Fix with . The finite combination is a convex combination of the operators , , with nonnegative real coefficients summing to (the finite sum of the weights is ), so by step 1.1 and induction.
[(b) the mixture sum is a state] Let , the self-adjoint partial sums of step 1.2. Trace-norm convergence and [F1] give , and operator-norm continuity of the adjoint [F4] gives . Hence is self-adjoint. It is positive because for every the numbers are nonnegative by [F2], while by [F5], so ; and because by [F3] and the trace is linear. Thus , and since this trace-norm convergence is also convergence in .
[(c) grouping of consecutive blocks] Let be the partial sums of the -series; by regrouping finite sums in the real vector space one has, for every , Since by step 1.2 and , the sequence is a subsequence of a convergent sequence in the metric space and therefore converges to as well by [F6]; the left series converges absolutely because by [F3] and step 2.1. Hence both series have the same sum .
[(d) closedness and completeness] Let converge to in the trace norm. Then is self-adjoint by definition of ; it is positive because by [F5] while ; and by [F3] and trace linearity. Hence , so is closed in ; since is complete by step 1.3, is complete for the restricted metric by [F7]. This proves (a)-(d).
Depends on
The state space: density operators, pure and mixed states, and purity
Density operators and scalar spectral probability
Trace class is a two sided Banach operator ideal
Trace is absolutely convergent and basis independent
Trace of a positive operator is the sum of its eigenvalues
Hilbert-adjoint identities
Cauchy–Schwarz: , with equality exactly for dependent pairs
Self-adjoint, positive, unitary and normal operators
Series and absolute convergence in a normed space
Banach space
Convergence of a sequence in a metric space: iff in
Closed subspaces of complete metric spaces are complete; the converse under countable choice
Complete metric space: every Cauchy sequence converges in the space
A field is a vector space over itself, and over any subfield every -vector space is a -vector space by restricting the scalars
Subfield: a subring of a field closed under inverses of its nonzero elements, and therefore a field with the restricted operations
The Axiom of Countable Choice ()
Dependency tree · 2 levels
Sources
- J. Preskill, Lecture Notes for Ph219/CS219: Quantum Information, Chapter 2 (updated July 2015), Section 2.5.1, printed pages 26-27: the convex linear combination of two density matrices is a density matrix, and the density operators form a convex subset of the real vector space of Hermitian operators
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 6.3, printed pages 121-124: averaging density operators with probabilities, and the trace of the averaged operator
- G. Teschl, Topics in Real and Functional Analysis (17 November 2017), Section 3.6, printed pages 95-100: the trace-class operators form a Banach space, with trace linear and bounded by the trace norm