Helper for Corollary 19.2.1: a polyhedral set yields a polyhedral indicator function
via the max-affine-plus-indicator representation with k = 0.
Helper for Corollary 19.2.1: an equality between an indicator and a max-affine-plus- indicator representation forces equality of the underlying sets.
Helper for Corollary 19.2.1: if the indicator function is polyhedral, then the set is polyhedral.
Helper for Corollary 19.2.1: a closed convex polyhedral set has a polyhedral support function.
Helper for Corollary 19.2.1: if the support function is polyhedral, then the closed convex set is polyhedral.
Helper for Corollary 19.2.1: under closedness and convexity, polyhedrality of C
is equivalent to polyhedrality of its support function.
Corollary 19.2.1: A closed convex set C is polyhedral iff its support function
δ^*(· | C) is polyhedral.
Helper for Corollary 19.2.2: a polyhedral convex set has a polyhedral support function.
Helper for Corollary 19.2.2: the element (1 : EReal) is not top.
Helper for Corollary 19.2.2: when C = ∅, the polar sublevel set at level 1
is all of ℝ^n, hence polyhedral.
Corollary 19.2.2: The polar of a polyhedral convex set is polyhedral.
Helper for Theorem 19.3: linear images of polyhedral convex sets are finitely generated.
Helper for Theorem 19.3: the preimage of one closed half-space under A is the
corresponding closed half-space with normal transformed by the transpose matrix of A.
Helper for Theorem 19.3: for a fixed linear map, both the image-preservation and preimage-preservation polyhedrality statements hold together.
Theorem 19.3: Let A be a linear transformation from ℝ^n to ℝ^m. Then A '' C is a
polyhedral convex set in ℝ^m for each polyhedral convex set C in ℝ^n, and A ⁻¹' D is a
polyhedral convex set in ℝ^n for each polyhedral convex set D in ℝ^m.
Helper for Corollary 19.3.1: after converting product points to Fin coordinates, the
image under linearMap_prod A is exactly the image under the conjugated map.
Helper for Corollary 19.3.1: in Fin coordinates, the epigraph of
inverseImageUnderLinearMap A g is the preimage of the transformed epigraph of g under the
conjugated product map.
Helper for Corollary 19.3.1: the projected epigraph of a polyhedral convex function under
linearMap_prod A is closed.
Helper for Corollary 19.3.1: in Fin coordinates, the epigraph of
imageUnderLinearMap A f is exactly the image of the transformed epigraph of f under the
conjugated product map.
Helper for Corollary 19.3.1: in embedded coordinates, the epigraph of imageUnderLinearMap
is exactly the linear image of the embedded epigraph.
Helper for Corollary 19.3.1: if imageUnderLinearMap A f y is finite, then the infimum is
attained at some x with A x = y.
Helper for Corollary 19.3.1: in embedded coordinates, the epigraph of
inverseImageUnderLinearMap is the preimage of the embedded epigraph under
linearMap_prod_embedded.
Helper for Corollary 19.3.1: polyhedral convexity is preserved by
imageUnderLinearMap for polyhedral convex functions.
Helper for Corollary 19.3.1: polyhedral convexity is preserved by
inverseImageUnderLinearMap for polyhedral convex functions.
Helper for Corollary 19.3.1: polyhedrality of imageUnderLinearMap together with
attainment of finite image values.
Corollary 19.3.1: Let A be a linear transformation from ℝ^n to ℝ^m. For each
polyhedral convex function f on ℝ^n, the convex function Af is polyhedral on ℝ^m, and
the infimum in its definition, if finite, is attained. For each polyhedral convex function g
on ℝ^m, gA is polyhedral on ℝ^n.