M. Riesz extension theorem#Corollary: Krein's extension theorem

{{About||more theorems that are sometimes called Riesz's theorem|Riesz theorem (disambiguation){{!}}Riesz theorem}}

The M. Riesz extension theorem is a theorem in mathematics, proved by Marcel Riesz{{harvtxt|Riesz|1923}} during his study of the problem of moments.{{harvtxt|Akhiezer|1965}}

Formulation

Let E be a real vector space, F\subset E be a vector subspace, and K\subset E be a convex cone.

A linear functional \phi: F\to\mathbb{R} is called K-positive, if it takes only non-negative values on the cone K:

:\phi(x) \geq 0 \quad \text{for} \quad x \in F \cap K.

A linear functional \psi: E\to\mathbb{R} 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 = \phi \quad \text{and} \quad \psi(x) \geq 0\quad \text{for} \quad x \in K.

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=\mathbb{R}^2,\ 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\subset K+F, namely for every y\in E, there exists an x\in F such that y-x\in K.

{{Math theorem

| name = {{visible anchor|M. Riesz extension theorem}}

| math_statement = Let E be a real vector space, F\subset E a subspace, and K\subset E a convex cone verifying E\subset K+F. Then every continuous, K-positive, linear functional \phi\colon F\to\mathbb R has a K-positive extension to all of E.

}}

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 \in E \setminus F. Set

:a = \sup \{\, \phi(x) \mid x \in F, \ y-x \in K \,\},\ b = \inf \{\, \phi(x) \mid x \in F, x-y \in K \,\}.

We will prove below that -\infty < a \le b. For now, choose any c satisfying a \le c \le b, 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 \in K. Then either z = 0, or z = p(x + y) or z = p(x - y) for some p > 0 and x \in F. If z = 0, then \psi(z) > 0. In the first remaining case x + y = y -(-x) \in K, and so

:\psi(y) = c \geq a \geq \phi(-x) = \psi(-x)

by definition. Thus

:\psi(z) = p\psi(x+y) = p(\psi(x) + \psi(y)) \geq 0.

In the second case, x - y \in K, and so similarly

:\psi(y) = c \leq b \leq \phi(x) = \psi(x)

by definition and so

:\psi(z) = p\psi(x-y) = p(\psi(x)-\psi(y)) \geq 0.

In all cases, \psi(z) > 0, and so \psi is K-positive.

We now prove that -\infty < a \le b. Notice by assumption there exists at least one x \in F for which y - x \in K, and so -\infty < a. However, it may be the case that there are no x \in F for which x - y \in K, 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 \in F for which x - y \in K. To prove the inequality, it suffices to show that whenever x \in F and y - x \in K, and x' \in F and x' - y \in K, then \phi(x) \le \phi(x'). Indeed,

:x' -x = (x' - y) + (y-x) \in K

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&ndash;Banach theorem

{{main|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) \leq N(x), \quad x \in U.

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) \, \mid \, N(x) \leq a \right\}.

Define a functional φ1 on R×U by

: \phi_1(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) = - \psi_1(0, x)

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

: \psi_1(N(x), x) = N(x) - \psi(x) < 0,

leading to a contradiction.

References

{{Reflist}}

Sources

  • {{Citation|last=Castillo|first=Reńe E.|title=A note on Krein's theorem|url=http://www.scm.org.co/aplicaciones/revista/Articulos/767.pdf|journal=Lecturas Matematicas|volume=26|year=2005|access-date=2014-01-18|archive-url=https://web.archive.org/web/20140201131652/http://www.scm.org.co/aplicaciones/revista/Articulos/767.pdf|archive-date=2014-02-01|url-status=dead}}
  • {{Citation|jfm=49.0195.01|last=Riesz|first=M.|title=Sur le problème des moments. III.|language=French|journal=Arkiv för Matematik, Astronomi och Fysik |volume=17|issue=16|year=1923}}
  • {{Citation|mr=0184042|first=N.I.|last=Akhiezer|title=The classical moment problem and some related questions in analysis|publisher=Hafner Publishing Co.|location=New York|year=1965}}

{{Functional Analysis}}

Category:Theorems in convex geometry

Category:Theorems in functional analysis