Definition
Weak topology on a topological vector space
The coarsest vector topology making every continuous linear functional remain continuous.
Definition
Let be a topological vector space over , with topological dual . The weak topology is the weakest topology on making every continuous. It is the topology generated by the seminorms
Consequently, a net converges weakly to exactly when for every . The weak topology is no finer than the original topology because the functionals in were originally continuous.
Neighborhoods and separation
A basic weak neighborhood of restricts only finitely many functionals:
The weak topology is Hausdorff exactly when separates points of . This separation holds for Hausdorff locally convex spaces, but can fail for general topological vector spaces whose continuous dual is too small Schaefer–Wolff, Chapter IV.
Weak versus original convergence
Original-topology convergence implies weak convergence. The converse is usually false in infinite dimensions: weak convergence records every scalar observation , but not uniform control over all observations. For example, the standard orthonormal basis in converges weakly to while every term has norm .
Weak versus weak-star
On a Banach dual space , the weak topology is , whereas the weak-star topology is , using only evaluations by elements of the specified predual. They coincide when the canonical image of exhausts , as for reflexive Banach spaces, but not in general. Keeping the two entries in visible prevents this common ambiguity.
References
- Helmut H. Schaefer and Manfred P. Wolff, Topological Vector Spaces, 2nd ed., Springer, 1999. Publisher record. Relevant: Chapter IV on dual pairs and weak topologies.
- John B. Conway, A Course in Functional Analysis, 2nd ed., Springer, 1990. Publisher record. Relevant: Chapter V on weak convergence and duality.