Mazur's lemma #
A weak limit in a locally convex space belongs to the closure of the convex hull of the range. In a seminormed space, finite convex combinations from successive tails of a weakly convergent sequence converge in norm to the weak limit. The coefficients are real and nonnegative even for complex spaces.
exists_sum_smul_norm_sub_lt_of_tendsto_weak gives a finite combination from any specified
tail with any positive error tolerance. exists_tendsto_sum_smul_of_tendsto_weak chooses
such combinations as a norm-convergent sequence. In both statements, the indices in the
nth tail are written as n + i, so no coefficient can involve an earlier term.
Convex.mem_of_tendsto_weak deduces that a closed real-convex set contains
weak limits of families in it.
These results require neither completeness nor separability. They use Mathlib's
Convex.toWeakSpace_closure to pass from weak convergence to norm approximation, and
convexHull_range_eq_exists_affineCombination to extract the finite coefficients.
References #
- R. E. Megginson, An Introduction to Banach Space Theory, ยง2.5 (Mazur's theorem).
A weak limit along a nontrivial filter in a locally convex space lies in the closure of the real convex hull of the range, taken in the original topology.
A closed real-convex set in a locally convex space contains every weak limit of a family in it, along any nontrivial filter.
Mazur's lemma, with explicit finite coefficients: every tail of a weakly convergent sequence admits a convex combination within any positive norm distance of its weak limit.
Mazur's lemma, in sequential form: choose a finite real convex combination from the
nth tail for every n, so that the combinations converge in norm to the weak limit.