Lambda-injective normed space 2026-10-05
For , a normed vector space is lambda-injective when every bounded linear operator from a subspace of any normed space into extends to with the displayed norm bound. The space of bounded scalar functions on an index set is 1-injective: extend each coordinate functional by the Hahn-Banach theorem and reassemble it using the coordinate functional representation of an operator into bounded indexed functions.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 106 1 Solution Created 2026-10-03 Updated 2026-10-05
The Hahn-Banach theorem for bounded linear functionals says that a bounded linear functional on any linear subspace of a normed vector space extends to the whole space with its norm unchanged. No closedness or completeness of the subspace is required. Question 1 uses real-valued , so its operator assertions are read over the real scalar field. The analogous complex statements use complex-valued indexed functions.
For , define on its one-dimensional span. This is a norm-one functional, so Hahn-Banach theorem supplies an extension withThe canonical embedding into the bidual is . It is linear and . The bounded linear functional just constructed gives the reverse inequality for nonzero , and the zero case is immediate. Thus and is injective.
For the coordinate functional representation of an operator into bounded indexed functions, let evaluate a coordinate and put . If is bounded and linear, then and . Conversely, if , the formula defines a bounded scalar function for each , is linear, and satisfies . Combining the two estimates givesFor an empty index set both spaces/families have norm bound zero; the supremum of the empty nonnegative family is taken as zero.
Choose and . The Hahn-Banach theorem makes , so this is a linear isometric embedding into bounded scalar functions on an index set.
If is nonzero and separable, choose a dense sequence in its unit sphere and supporting functionals with . For a unit vector and , some satisfies , whence . Thus is a countable norming family and is an isometry into the l-infinity sequence space. Completeness of is not needed.
If instead for a separable normed vector space , choose a dense sequence in . The evaluations lie in and continuity of gives . This again gives , even when is not separable. If , use zero coordinates throughout.
To prove 1-injectivity, take on a subspace of . Extend every coordinate to by Hahn-Banach theorem, keeping its norm. Their uniform bound defines , and the coordinate norm identity yieldsSelection of these extensions uses the usual choice convention for arbitrary index sets. This verifies the lambda-injective normed space definition with .
For the final retraction characterization of lambda-injectivity, suppose first that is lambda-injective and is a linear isometry. The inverse has norm one when ; extend it to with . Then , and is a bounded projection onto . For the zero space take .
Conversely, suppose every linear isometry out of has such a left inverse. Fix an isometry as above and a left inverse with . For any , extend to by 1-injectivity. Then extends , and . Therefore is lambda-injective exactly when every isometric embedding admits a bounded map satisfying