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Basic Analysis – Gently Done Topological Vector Spaces

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48 <strong>Basic</strong> <strong>Analysis</strong><br />

NextweconsiderthefirstofseveralversionsoftheHahn-Banachtheorem. This<br />

one is for real vector spaces and uses the order structure in R. Some terminology<br />

is needed.<br />

Definition 5.19 We say that a map p : X → R on a real vector space X is<br />

subadditive if<br />

and that p is positively homogeneous if<br />

p(x+y) ≤ p(x)+p(y), for x,y ∈ X<br />

p(tx) = tp(x), for any x ∈ X and t > 0.<br />

Note that if p is positively homogeneous, then, with x = 0 and t = 2, we see<br />

that p(0) = 2p(0) so that p(0) = 0. Hence p(tx) = tp(x) for all t ≥ 0. If p is<br />

also subadditive, then, setting y = −x, we get 0 = p(0) ≤ p(x)+p(−x), that is,<br />

−p(−x) ≤ p(x), for x ∈ X.<br />

Theorem 5.20 (Hahn-Banach) Let X be a real vector space and suppose that<br />

f : M → R is a linear mapping defined on a linear subspace M of X such that<br />

f(y) ≤ p(y), for all y ∈ M, for some subadditive and positively homogeneous map<br />

p : X → R. Then there is a linear functional Λ : X → R such that Λ(x) = f(x)<br />

for x ∈ M and<br />

−p(−x) ≤ Λ(x) ≤ p(x) for x ∈ X.<br />

(In other words, f can be extended to X whilst retaining the same bound.)<br />

Proof Wefirstshow howwecanextendthedefinitionoff byoneextradimension.<br />

If M �= X, let x 1 ∈ X with x 1 /∈ M. Define M 1 = {x + tx 1 : x ∈ M, t ∈ R}.<br />

Then M 1 is a linear subspace of X—the subspace of X spanned by {x 1 }∪M. Any<br />

z ∈ M 1 can be written uniquely as z = x+tx 1 for x ∈ M and t ∈ R. Indeed, if<br />

x+tx 1 = x ′ +t ′ x 1 for x,x ′ ∈ M and t,t ′ ∈ R, then 0 = (x−x ′ )+(t−t ′ )x 1 . Since<br />

x 1 /∈ M, this implies that t = t ′ and therefore x = x ′ .<br />

The implications of the existence of a suitable extension to f will provide the<br />

idea of how to actually construct such an extension. So suppose for the moment<br />

that f 1 is an extension of f to M 1 , satisfying the stated bound in terms of p. Let<br />

x+tx 1 ∈ M 1 , x ∈ M, t ∈ R. Then f 1 (x+tx 1 ) = f(x)+tf 1 (x 1 ) = f(x)+tµ, where<br />

we have set µ = f 1 (x 1 ). The given bound demands that f(x)+tµ ≤ p(x+tx 1 )<br />

for all t ∈ R and x ∈ M. For t = 0, this is nothing other than the hypothesis on<br />

f. Replacing x by tx, we get f(tx)+tµ ≤ p(tx+tx 1 ). Setting t = 1 and t = −1,<br />

we obtain<br />

f(x)+µ ≤ p(x+x 1 ) for x ∈ M (taking t = 1)<br />

Department of Mathematics King’s College, London

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