Helper for Corollary 19.1.2: nonemptiness of the objective-value set gives one admissible coefficient vector.
Helper for Corollary 19.1.2: the objective-value set equals the image of the feasible
coefficient set under the linear objective map (cast to EReal).
Helper for Corollary 19.1.2: compactness of the feasible coefficient set implies closedness of the objective-value set.
Helper for Corollary 19.1.2: finite generation of the feasible coefficient set implies closedness of the associated objective-value set.
Helper for Corollary 19.1.2: if the infimum of the objective-value set is a finite real, then that real value belongs to the objective-value set.
Helper for Corollary 19.1.2: membership of the finite infimum value in the objective set
gives coefficients attaining exactly f x.
Helper for Corollary 19.1.2: in a fixed finite-generation representation, finite values are attained by admissible coefficients.
Helper for Corollary 19.1.2: a finitely generated representation can be unpacked into coefficients data together with pointwise attainment for every finite value.
Corollary 19.1.2: A convex function is polyhedral iff it is finitely generated; such a
function, if proper, is closed; and in the finitely generated representation the infimum at
x, when finite, is attained by some coefficients λ.
Text 19.0.11: The function f(x) = |ξ₁| + ··· + |ξₙ| on ℝ^n is polyhedral convex,
since it is the pointwise supremum of the 2^n linear functions
x ↦ ε₁ ξ₁ + ··· + εₙ ξₙ with εⱼ ∈ {+1, -1}.
Text 19.0.12: The Tchebycheff (supremum) norm f : ℝ^n → ℝ defined by
f(x) = max {|ξ₁|, …, |ξₙ|} (with x = (ξ₁, …, ξₙ)) is polyhedral convex, since it is the
pointwise supremum of the 2n linear functions x ↦ ε_j ξ_j with
ε_j ∈ {+1, -1} for j = 1, …, n.
Helper for Text 19.0.13: the explicit line {x | x 1 = 1} is polyhedral convex.
Helper for Text 19.0.13: the singleton containing the origin in ℝ² is polyhedral
convex.
Text 19.0.13: The convex hull of the union of two polyhedral convex sets need not be polyhedral; for instance, this occurs for a line and a point not on the line.
Helper for Text 19.0.14: every polytope in ℝ^n is compact.
Helper for Text 19.0.14: a nonempty compact set in ℝ^n invariant under translation
by d must satisfy d = 0.
Helper for Text 19.0.14: if two translates of S both equal C, then the
translation vectors coincide.
Helper for Text 19.0.14: both the empty set and every singleton in ℝ^n are
polytopes.
Text 19.0.14: Let C ⊆ ℝ^n be a convex polytope and let S ⊆ C be nonempty. For
y ∈ ℝ^n, define the translate S + {y} and D := {y | S + {y} = C}. Then D is a
possibly empty convex polytope in ℝ^n.