Ordered vector space

In mathematics an ordered vector space or partially ordered vector space is a vector space equipped with a partial order which is compatible with the vector space operations.

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Definition

Given a vector space V over the real numbers R and a partial order ≤ on the set V, the pair (V, ≤) is called an ordered vector space if for all x,y,z in V and 0 ≤ λ in R the following two axioms are satisfied

  1. xy implies x + zy + z
  2. yx implies λ y ≤ λ x.

Notes

The two axioms imply that translations and positive homotheties are automorphisms of the order structure and the mapping f(x) = − x is an isomorphism to the dual order structure.

If ≤ is only a preorder, (V, ≤) is called a preordered vector space.

Ordered vector spaces are ordered groups.

Positive cone

Given an ordered vector space V, the subset V+ of all elements x in V satisfying x≥0 is a convex cone, called the positive cone of V. V+ has the property that V+∩(−V+)={0}, so V+ is a proper cone. That it is convex can be seen by combining the above two axioms with the transitivity property of the (pre)order.

If V is a real vector space and C is a proper convex cone in V, there exists exactly one partial order on V that makes V into an ordered vector space such V+=C. This partial order is given by

xy if and only if yx is in C.

Therefore, there exists a one-to-one correspondence between the partial orders on a vector space V that are compatible with the vector space structure and the proper convex cones of V.

Examples

Only the second order is, as a subset of R4, closed, see partial orders in topological spaces.
For the third order the two-dimensional "intervals" p < x < q are open sets which generate the topology.

Remarks

References