Exposed sets #
This file defines exposed sets and exposed points for sets in a real vector space.
An exposed subset of A is a subset of A that is the set of all maximal points of a functional
(a continuous linear map E β π) over A. By convention, β
is an exposed subset of all sets.
This allows for better functoriality of the definition (the intersection of two exposed subsets is
exposed, faces of a polytope form a bounded lattice).
This is an analytic notion of "being on the side of". It is stronger than being extreme (see
is_exposed.is_extreme), but weaker (for exposed points) than being a vertex.
An exposed set of A is sometimes called a "face of A", but we decided to reserve this
terminology to the more specific notion of a face of a polytope (sometimes hopefully soon out
on mathlib!).
Main declarations #
is_exposed π A B: States thatBis an exposed set ofA(in the literature,Ais often implicit).is_exposed.is_extreme: An exposed set is also extreme.
References #
See chapter 8 of Barry Simon, Convexity
TODO #
Define intrinsic frontier/interior and prove the lemmas related to exposed sets and points.
Generalise to Locally Convex Topological Vector Spacesβ’
More not-yet-PRed stuff is available on the branch sperner_again.
A set B is exposed with respect to A iff it maximizes some functional over A (and contains
all points maximizing it). Written is_exposed π A B.
A useful way to build exposed sets from intersecting A with halfspaces (modelled by an
inequality with a functional).
If B is an exposed subset of A, then B is the intersection of A with some closed
halfspace. The converse is not true. It would require that the corresponding open halfspace
doesn't intersect A.
A point is exposed with respect to A iff there exists an hyperplane whose intersection with
A is exactly that point.
Exposed points exactly correspond to exposed singletons.