Welcome to the community hub built on top of the M. Riesz extension theorem Wikipedia article.
Here, you can discuss, collect, and organize anything related to M. Riesz extension theorem. The
purpose of t...
A linear functional is called -positive, if it takes only non-negative values on the cone :
A linear functional is called a -positive extension of , if it is identical to in the domain of , and also returns a value of at least 0 for all points in the cone :
In general, a -positive linear functional on cannot be extended to a -positive linear functional on . Already in two dimensions one obtains a counterexample. Let and be the -axis. The positive functional can not be extended to a positive functional on .
However, the extension exists under the additional assumption that namely for every there exists an such that
M. Riesz extension theorem—Let be a real vector space, a subspace, and a convex cone verifying . Then every continuous, -positive, linear functional has a -positive extension to all of .
We will prove below that . For now, choose any satisfying , and set , , and then extend to all of by linearity. We need to show that is -positive. Suppose . Then either , or or for some and . If , then . In the first remaining case , and so
by definition. Thus
In the second case, , and so similarly
by definition and so
In all cases, , and so is -positive.
We now prove that . Notice by assumption there exists at least one for which , and so . However, it may be the case that there are no for which , in which case and the inequality is trivial (in this case notice that the third case above cannot happen). Therefore, we may assume that and there is at least one for which . To prove the inequality, it suffices to show that whenever and , and and , then . Indeed,
Let E be a reallinear space, and let K ⊂ E be a convex cone. Let x ∈ E/(−K) be such that Rx + K = E. Then there exists a K-positive linear functional φ: E → R such that φ(x) > 0.