Monotone continuous functionals determine a closed order #
Let E be a locally convex real topological vector space with a partial order compatible with
its module structure, whose positive cone {x | 0 ≤ x} is closed. Farkas' lemma
(ProperCone.hyperplane_separation_point) separates a point outside this cone from the cone by a
continuous linear functional that is nonnegative on it, that is, by a monotone one. Consequently
x ≤ y exactly when f x ≤ f y for every monotone continuous linear functional f, and such
functionals separate the points of E. When E is moreover finite-dimensional, evaluation at the
monotone functionals is an injective linear map, hence a closed embedding, so convergence in E is
detected by the monotone functionals.
This reduces statements about vectors with nonnegative coordinates in an ordered space to statements about nonnegative real numbers, one monotone functional at a time.
Main results #
TauCeti.le_iff_forall_monotone_dual_le:x ≤ yif and only iff x ≤ f yfor every monotone continuous linear functionalf.TauCeti.eq_of_forall_monotone_dual_eq: monotone continuous linear functionals separate points.TauCeti.tendsto_iff_forall_monotone_dual: in finite dimension,f → cif and only ifφ ∘ f → φ cfor every monotone continuous linear functionalφ.
Closed orders are determined by monotone functionals. In a locally convex real ordered
vector space with closed positive cone, x ≤ y if and only if f x ≤ f y for every monotone
continuous linear functional f.
Monotone functionals separate points. In a locally convex real ordered vector space with closed positive cone, two vectors on which every monotone continuous linear functional agrees are equal.
Monotone functionals detect convergence in finite dimension. In a finite-dimensional
locally convex real ordered vector space with closed positive cone, f tends to c along l if
and only if φ ∘ f tends to φ c for every monotone continuous linear functional φ.