M. Riesz extension theorem explained

The M. Riesz extension theorem is a theorem in mathematics, proved by Marcel Riesz during his study of the problem of moments.

Formulation

Let

E

be a real vector space,

F\subsetE

be a vector subspace, and

K\subsetE

be a convex cone.

\phi:F\toR

is called

K

-positive, if it takes only non-negative values on the cone

K

:

\phi(x)\geq0forx\inF\capK.

A linear functional

\psi:E\toR

is called a

K

-positive extension of

\phi

, if it is identical to

\phi

in the domain of

\phi

, and also returns a value of at least 0 for all points in the cone

K

:

\psi|F=\phiand\psi(x)\geq0   forx\inK.

In general, a

K

-positive linear functional on

F

cannot be extended to a

K

-positive linear functional on

E

. Already in two dimensions one obtains a counterexample. Let

E=R2,K=\{(x,y):y>0\}\cup\{(x,0):x>0\},

and

F

be the

x

-axis. The positive functional

\phi(x,0)=x

can not be extended to a positive functional on

E

.

However, the extension exists under the additional assumption that

E\subsetK+F,

namely for every

y\inE,

there exists an

x\inF

such that

y-x\inK.

Proof

The proof is similar to the proof of the Hahn–Banach theorem (see also below).

By transfinite induction or Zorn's lemma it is sufficient to consider the case dim 

E/F=1

.

Choose any

y\inE\setminusF

. Set

a=\sup\{\phi(x)\midx\inF,y-x\inK\},b=inf\{\phi(x)\midx\inF,x-y\inK\}.

We will prove below that

-infty<a\leb

. For now, choose any

c

satisfying

a\lec\leb

, and set

\psi(y)=c

,

\psi|F=\phi

, and then extend

\psi

to all of

E

by linearity. We need to show that

\psi

is

K

-positive. Suppose

z\inK

. Then either

z=0

, or

z=p(x+y)

or

z=p(x-y)

for some

p>0

and

x\inF

. If

z=0

, then

\psi(z)>0

. In the first remaining case

x+y=y-(-x)\inK

, and so

\psi(y)=c\geqa\geq\phi(-x)=\psi(-x)

by definition. Thus

\psi(z)=p\psi(x+y)=p(\psi(x)+\psi(y))\geq0.

In the second case,

x-y\inK

, and so similarly

\psi(y)=c\leqb\leq\phi(x)=\psi(x)

by definition and so

\psi(z)=p\psi(x-y)=p(\psi(x)-\psi(y))\geq0.

In all cases,

\psi(z)>0

, and so

\psi

is

K

-positive.

We now prove that

-infty<a\leb

. Notice by assumption there exists at least one

x\inF

for which

y-x\inK

, and so

-infty<a

. However, it may be the case that there are no

x\inF

for which

x-y\inK

, in which case

b=infty

and the inequality is trivial (in this case notice that the third case above cannot happen). Therefore, we may assume that

b<infty

and there is at least one

x\inF

for which

x-y\inK

. To prove the inequality, it suffices to show that whenever

x\inF

and

y-x\inK

, and

x'\inF

and

x'-y\inK

, then

\phi(x)\le\phi(x')

. Indeed,

x'-x=(x'-y)+(y-x)\inK

since

K

is a convex cone, and so

0\leq\phi(x'-x)=\phi(x')-\phi(x)

since

\phi

is

K

-positive.

Corollary: Krein's extension theorem

Let E be a real linear space, and let K ⊂ E be a convex cone. Let x ∈ E/(-K) be such that R x + K = E. Then there exists a K-positive linear functional φE → R such that φ(x) > 0.

Connection to the Hahn - Banach theorem

The Hahn–Banach theorem can be deduced from the M. Riesz extension theorem.

Let V be a linear space, and let N be a sublinear function on V. Let φ be a functional on a subspace U ⊂ V that is dominated by N:

\phi(x)\leqN(x),x\inU.

The Hahn - Banach theorem asserts that φ can be extended to a linear functional on V that is dominated by N.

To derive this from the M. Riesz extension theorem, define a convex cone K ⊂ R×V by

K=\left\{(a,x)\midN(x)\leqa\right\}.

Define a functional φ1 on R×U by

\phi1(a,x)=a-\phi(x).

One can see that φ1 is K-positive, and that K + (R × U) = R × V. Therefore φ1 can be extended to a K-positive functional ψ1 on R×V. Then

\psi(x)=-\psi1(0,x)

is the desired extension of φ. Indeed, if ψ(x) > N(x), we have: (N(x), x) ∈ K, whereas

\psi1(N(x),x)=N(x)-\psi(x)<0,

leading to a contradiction.