Comparing the strong and weak operator topologies #
The identity from the pointwise-convergence copy of continuous linear maps to the weak operator copy is continuous. Centralizers of sets of operators are weak-operator closed. These facts allow strong approximation results to identify weak operator closures without changing the norm topology on the original operator space.
The two topologies have the same continuous linear functionals: every functional continuous for
pointwise convergence is a finite sum T β¦ β x β s, g x (T x) of continuous functionals of
values (PointwiseConvergenceCLM.exists_finset_sum_eq, in
TauCeti.Analysis.LocallyConvex.PointwiseConvergence), hence weak-operator continuous, and
conversely (ContinuousLinearMapWOT.exists_finset_sum_eq). On a Hilbert space, writing each
g x as an inner product gives the usual finite sums of matrix coefficients. By locally convex
separation, a convex set of operators therefore has the same closure in both topologies
(Convex.toPointwiseConvergenceCLM_mem_closure_image_iff).
References #
KadisonβRingrose, Fundamentals of the Theory of Operator Algebras I, Theorem 5.1.2 and Corollary 5.1.3.
Pointwise (strong operator) convergence is stronger than weak operator convergence.
The commutant of any set of operators is closed in the weak operator topology.
A linear functional on operators which is continuous for the topology of pointwise convergence is continuous for the weak operator topology.
Continuous functionals in the weak operator topology. A linear functional on operators
which is continuous for the weak operator topology is a finite sum of functionals
A β¦ g x (A x).
For a convex set of operators, the closures in the topology of pointwise convergence (the strong operator topology) and in the weak operator topology contain the same operators.