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A bounded real linear functional on a subspace of a real normed space extends with the same norm
Statement
Let be a real normed space, let be a linear subspace, and let be a bounded linear functional. Then there exists a bounded linear functional such that and .
Facts & Assumptions
Given: A real normed space , a linear subspace , and a bounded real linear functional .
A dominated real linear functional extends to the whole real vector space (Hahn-Banach dominated extension theorem for real vector spaces).
A bounded linear operator has some constant with for every (A bounded linear operator between normed spaces).
The operator norm is the least such bound: (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
A normed subspace carries the restricted norm from the ambient space (Normed subspace).
Proof
Define by The triangle inequality and real homogeneity of the norm make sublinear. For , [L3] and [L4] give so on .
By [L1], there exists a linear functional extending and satisfying for every .
Apply step 2.1 to and to . Since , one gets hence So is bounded in the sense of [L2], and [L3] gives .
Since , for every with one has . Taking the supremum over the unit ball of the normed subspace and using [L3] and [L4] yields .
Steps 3.1 and 3.2 give , so is the required norm-preserving extension.
Depends on
Used by
- A codimension-one subspace can admit many norm-preserving Hahn-Banach extensions Example
- A bounded complex linear functional on a subspace of a complex normed space extends with the same norm Theorem
- A bounded linear functional on an arbitrary subspace extends with the same norm, without assuming the subspace is closed Theorem
- Every nonzero vector has a norming functional Theorem
Dependency tree · two levels
14 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald Teschl, Topics in Real and Functional Analysis, Corollary 4.15 (standard reference, not scraped)
- Daniel Daners, Introduction to Functional Analysis, Theorem 26.1 (standard reference, not scraped)