Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05
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A bounded real linear functional on a subspace of a real normed space extends with the same norm

Statement

Let X be a real normed space, let MX be a linear subspace, and let f0:MR be a bounded linear functional. Then there exists a bounded linear functional F:XR such that FM=f0 and F=f0.

Facts & Assumptions

Given: A real normed space X, a linear subspace MX, and a bounded real linear functional f0:MR.

[L1]

A dominated real linear functional extends to the whole real vector space (Hahn-Banach dominated extension theorem for real vector spaces).

[L2]

A bounded linear operator has some constant C0 with TxCx for every x (A bounded linear operator between normed spaces).

[L3]

The operator norm is the least such bound: T=inf{C0:TxCx for all x} (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[L4]

A normed subspace carries the restricted norm from the ambient space (Normed subspace).

Proof

technique · direct
1.1

Define p:XR by p(x):=f0x. The triangle inequality and real homogeneity of the norm make p sublinear. For mM, [L3] and [L4] give f0(m)f0(m)f0m=p(m), so f0p on M.

L3L4givenconstructalgebra
2.1

By [L1], there exists a linear functional F:XR extending f0 and satisfying F(x)p(x) for every xX.

L1step 1.1
3.1

Apply step 2.1 to x and to x. Since p(x)=p(x), one gets f0xF(x)f0x, hence F(x)f0x(xX). So F is bounded in the sense of [L2], and [L3] gives Ff0.

step 2.1L2L3algebra
3.2

Since FM=f0, for every mM with m1 one has f0(m)=F(m)F. Taking the supremum over the unit ball of the normed subspace M and using [L3] and [L4] yields f0F.

step 2.1L3L4
4.1

Steps 3.1 and 3.2 give F=f0, so F is the required norm-preserving extension.

step 3.1step 3.2

Depends on

Used by

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