Positive linear operator: Difference between revisions

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{{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.}}}}
 
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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 ==
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If <math>M</math> is a vector subspace of <math>\mathcal{L}(X; Y)</math> and if <math>H \cap M</math> is a proper cone then this proper cone defines a '''{{visible anchor|canonical partial order}}''' on <math>M</math> making <math>M</math> into a partially ordered vector space.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}
 
If <math>(X, \leq)</math> and <math>(Y, \leq)</math> are [[ordered topological vector space]]s and if <math>\mathcal{G}</math> is a family of bounded subsets of <math>X</math> whose union covers <math>X</math> then the [[positive cone of an ordered vector space|positive cone]] <math>\mathcal{H}</math> in <math>L(X; Y)</math>, which is the space of all continuous linear maps from <math>X</math> into <math>Y,</math> is closed in <math>L(X; Y)</math> when <math>L(X; Y)</math> is endowed with the [[Topology of uniform convergence|<math>\mathcal{G}</math>-topology]].{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}
For <math>\mathcal{H}</math> to be a proper cone in <math>L(X; Y)</math> it is sufficient that the positive cone of <math>X</math> be total in <math>X</math> (that is, the span of the positive cone of <math>X</math> be dense in <math>X</math>).
If <math>Y</math> is a locally convex space of dimension greater than 0 then this condition is also necessary.{{sfn | Schaefer | Wolff | 1999 | pp=225–229}}