In functional analysis, a state of an operator system is a positive linear functional of norm 1. States in functional analysis generalize the notion of density matrices in quantum mechanics, which represent quantum states, both §§��Mixed states and Pure states. Density matrices in turn generalize state vectors, which only represent pure states. For M an operator system in a C*-algebra A with identity, the set of all states of M, sometimes denoted by S(M), is convex, weak-* closed in the Banach dual space M*. Thus the set of all states of M with the weak-* topology forms a compact Hausdorff space, known as the state space of M .
In the C*-algebraic formulation of quantum mechanics, states in this previous sense correspond to physical states, i.e. mappings from physical observables (self-adjoint elements of the C*-algebra) to their expected measurement outcome (real number).
States can be viewed as noncommutative generalizations of probability measures. By Gelfand representation, every commutative C*-algebra A is of the form C0(X) for some locally compact Hausdorff X. In this case, S(A) consists of positive Radon measures on X, and the § pure states are the evaluation functionals on X.
A bounded linear functional on a C*-algebra A is said to be self-adjoint if it is real-valued on the self-adjoint elements of A. Self-adjoint functionals are noncommutative analogues of signed measures.
The Jordan decomposition in measure theory says that every signed measure can be expressed as the difference of two positive measures supported on disjoint sets. This can be extended to the noncommutative setting.
Theorem — Every self-adjoint f in A* can be written as f = f+ − f− where f+ and f− are positive functionals and ||f|| = ||f+|| + ||f−||.
A proof can be sketched as follows: Let Ω be the weak*-compact set of positive linear functionals on A with norm ≤ 1, and C(Ω) be the continuous functions on Ω. A can be viewed as a closed linear subspace of C(Ω) (this is Kadison's function representation). By Hahn–Banach, f extends to a g in C(Ω)* with
It follows from the above decomposition that A* is the linear span of states.
Some important classes of states
For a Hilbert space H and a vector x in H, the equation ωx(A) := ⟨Ax,x⟩ (for A in B(H) ), defines a positive linear functional on B(H). Since ωx(1)=||x||2, ωx is a state if ||x||=1. If A is a C*-subalgebra of B(H) and M an operator system in A, then the restriction of ωx to M defines a positive linear functional on M. The states of M that arise in this manner, from unit vectors in H, are termed vector states of M.
A state is called normal, iff for every monotone, increasing net of operators with least upper bound , converges to .
A tracial state is a state such that
For any separable C*-algebra, the set of tracial states is a Choquet simplex.
A factorial state of a C*-algebra A is a state such that the commutant of the corresponding GNS representation of A is a factor.
- Lin, H. (2001), An Introduction to the Classification of Amenable C*-algebras, World Scientific