positive linear operator

{{Short description|Concept in functional analysis}}

{{Multiple issues|{{refimprove|date=June 2020}}{{lead rewrite|date=June 2020|reason=The lead should be a summary of the body of the article.}}}}

In mathematics, more specifically in functional analysis, a positive linear operator from an preordered vector space (X, \leq) into a preordered vector space (Y, \leq) is a linear operator f on X into Y such that for all positive elements x of X, that is x \geq 0, it holds that f(x) \geq 0.

In other words, a positive linear operator maps the positive cone of the domain into the positive cone of the codomain.

Every positive linear functional is a type of positive linear operator.

The significance of positive linear operators lies in results such as Riesz–Markov–Kakutani representation theorem.

Definition

A linear function f on a preordered vector space is called positive if it satisfies either of the following equivalent conditions:

  1. x \geq 0 implies f(x) \geq 0.
  2. if x \leq y then f(x) \leq f(y).{{sfn|Narici|Beckenstein|2011|pp=139-153}}

The set of all positive linear forms on a vector space with positive cone C, called the dual cone and denoted by C^*, is a cone equal to the polar of -C.

The preorder induced by the dual cone on the space of linear functionals on X is called the {{visible anchor|dual preorder}}.{{sfn|Narici|Beckenstein|2011|pp=139-153}}

The order dual of an ordered vector space X is the set, denoted by X^+, defined by X^+ := C^* - C^*.

Canonical ordering

Let (X, \leq) and (Y, \leq) be preordered vector spaces and let \mathcal{L}(X; Y) be the space of all linear maps from X into Y.

The set H of all positive linear operators in \mathcal{L}(X; Y) is a cone in \mathcal{L}(X; Y) that defines a preorder on \mathcal{L}(X; Y).

If M is a vector subspace of \mathcal{L}(X; Y) and if H \cap M is a proper cone then this proper cone defines a {{visible anchor|canonical partial order}} on M making M into a partially ordered vector space.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}

If (X, \leq) and (Y, \leq) are ordered topological vector spaces and if \mathcal{G} is a family of bounded subsets of X whose union covers X then the positive cone \mathcal{H} in L(X; Y), which is the space of all continuous linear maps from X into Y, is closed in L(X; Y) when L(X; Y) is endowed with the \mathcal{G}-topology.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}

For \mathcal{H} to be a proper cone in L(X; Y) it is sufficient that the positive cone of X be total in X (that is, the span of the positive cone of X be dense in X).

If Y is a locally convex space of dimension greater than 0 then this condition is also necessary.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}

Thus, if the positive cone of X is total in X and if Y is a locally convex space, then the canonical ordering of L(X; Y) defined by \mathcal{H} is a regular order.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}

Properties

Proposition: Suppose that X and Y are ordered locally convex topological vector spaces with X being a Mackey space on which every positive linear functional is continuous. If the positive cone of Y is a weakly normal cone in Y then every positive linear operator from X into Y is continuous.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}

Proposition: Suppose X is a barreled ordered topological vector space (TVS) with positive cone C that satisfies X = C - C and Y is a semi-reflexive ordered TVS with a positive cone D that is a normal cone. Give L(X; Y) its canonical order and let \mathcal{U} be a subset of L(X; Y) that is directed upward and either majorized (that is, bounded above by some element of L(X; Y)) or simply bounded. Then u = \sup \mathcal{U} exists and the section filter \mathcal{F}(\mathcal{U}) converges to u uniformly on every precompact subset of X.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}

See also

  • {{annotated link|Cone-saturated}}
  • {{annotated link|Positive linear functional}}
  • {{annotated link|Vector lattice}}

References

{{reflist|group=note}}

{{reflist}}

  • {{Narici Beckenstein Topological Vector Spaces|edition=2}}
  • {{Schaefer Wolff Topological Vector Spaces|edition=2}}

{{Functional analysis}}

{{Ordered topological vector spaces}}

Category:Functional analysis

Category:Order theory