The correspondence between saddle-functions and bifunctions #
The two brackets ⟨Fu, y⟩ = cl₂ K and ⟨u, F* y⟩ = cl₁ K set up a one-to-one correspondence
between the lower closed concave-convex functions on U × Y and the closed convex bifunctions
from U to X; the rest of the saddle-function theory is built on it.
Three refinements follow. Weakening closedness to image-closedness on the bifunction side and to
convex-closedness on the function side keeps the bijection; the closure pairs (K̲, K̄) are exactly
the pairs of brackets of a closed convex bifunction; and cl₁ and cl₂ are inverse bijections
between the lower closed and the upper closed functions. The first has a polyhedral form, with
properness in place of closedness.
Main definitions #
saddleOfBifun Bx F—⟨Fu, x*⟩uncurried, so that the correspondence is about a map.bifunSaddleEquiv— the image-closed form of the correspondence, as anEquiv.lowerUpperClosedEquiv—cl₁andcl₂as inverse bijections, as anEquiv.
Main results #
eq_of_bracket_eq— the bracket determines an image-closed convex bifunction. This is why image-closedness has to be named:bracket Bx F u = conj Bx (F u)sees onlycl (F u).lowerClosedFn_bracket,exists_unique_convexBifun_bracket_eq— the bracket of a closed convex bifunction is lower closed, and every lower closed concave-convex function is the bracket of exactly one closed convex bifunction (Theorem 33.3 in [^1]).exists_unique_bifun_of_closure_pair— a pair withcl₁ K̲ = K̄andcl₂ K̄ = K̲is exactly a bracket pair;le_of_partialCl₂_eqaddsK̲ ≤ K̄.polyhedralFn_bracket,polyhedralFn_neg_bracket,imageClosedBifun_of_polyhedralBifun,eq_conj_bracket_of_polyhedralBifun— the polyhedral case: both variables of the bracket are polyhedral, and a proper polyhedral bifunction is recovered from its bracket.
Implementation notes #
Given a lower closed K, the bifunction bifunOfSaddle Bx K has the right bracket at once, but
its closedness still has to be argued: cl F and F are both image-closed and convex and have the
same bracket, so they are equal.
References #
[^1]: R. T. Rockafellar, Convex Analysis, Princeton University Press, 1970, §33.
The bracket is injective on image-closed convex bifunctions #
Two image-closed convex bifunctions with the same bracket are equal. The bracket sees only
cl (F u), and image-closedness says that is all of F u.
The correspondence #
The two brackets of a bifunction are related by cl₁ ⟨Fu, y⟩ = ⟨u, F* y⟩.
For a closed bifunction, cl₂ ⟨u, F* y⟩ = ⟨Fu, y⟩: the two brackets of a closed convex
bifunction are a closure pair.
One direction of the correspondence: the bracket of a closed convex bifunction is a lower
closed concave-convex function. Each closure step exchanges the two brackets, and the loop closes
because F** = cl F = F.
The other direction: a lower closed concave-convex function is the bracket of one and only
one closed convex bifunction, namely F u = K(u, ·)*.
Closure pairs are bracket pairs #
A closure pair is ordered, K̲ ≤ K̄. Only the cl₂ relation is needed, because cl₂
lowers.
The pairs (K̲, K̄) of concave-convex functions with
cl₁ K̲ = K̄ and cl₂ K̄ = K̲ are exactly the pairs of brackets (⟨Fu, y⟩, ⟨u, F* y⟩) of a
closed convex bifunction, and F is unique.
The correspondence under image-closedness #
The two round trips are the two halves of the bracket construction, and each needs the closedness
hypothesis on its own side: image-closedness of F, convex-closedness of K.
The saddle-function attached to a convex bifunction, ⟨Fu, x*⟩ read as a function of the pair:
bracket uncurried, named because the correspondence is a statement about it as a map.
Equations
- Tdaf.ConvexAnalysis.saddleOfBifun Bx F p = Tdaf.ConvexAnalysis.bracket Bx F p.1 p.2
Instances For
The saddle-function of a bifunction is convex-closed: every slice is a conjugate.
The saddle-function of a convex bifunction is concave-convex.
The bifunction of a saddle-function is image-closed: every slice is a conjugate.
One round trip: a convex-closed concave-convex K is the saddle-function of the bifunction
it defines.
The other round trip: an image-closed convex bifunction is the bifunction of the saddle-function it defines.
K (u, x*) = ⟨Fu, x*⟩ and Fu = K(u, ·)* are inverse bijections between the image-closed
convex bifunctions from U to X and the convex-closed concave-convex functions on U × Y.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The bracket of a polyhedral bifunction #
For a polyhedral convex bifunction both variables of the bracket sharpen from convex to polyhedral,
and properness does the work that closedness does in the general correspondence: F is recovered
from its bracket with no closedness hypothesis at all. "Polyhedral concave" is spelled
PolyhedralFn (fun u => -(⟨Fu, y⟩)), there being no predicate for a polyhedral hypograph.
Adding a linear functional preserves polyhedrality. The epigraph of f + φ is the preimage
of epi f under the shear (x, μ) ↦ (x, μ - φ x), which needs nothing beyond a real vector space —
no finite dimension, no topology.
⟨Fu, ·⟩ is polyhedral convex for each u: it is the conjugate of the slice F u, which is
itself polyhedral.
⟨F·, y⟩ is polyhedral concave for each y. -⟨Fu, y⟩ = ⨅ x ((Fu)(x) - ⟨x, y⟩) is the
image of a polyhedral convex function on U × X under (u, x) ↦ u, and such an image is
polyhedral.
A proper polyhedral convex bifunction is image-closed — each slice has a closed epigraph
and properness keeps it from taking -∞. This is the polyhedral substitute for the closedness
hypothesis of the correspondence.
A proper polyhedral convex bifunction is recovered from its bracket, Fu = ⟨Fu, ·⟩*.
The same recovery written out: (Fu)(x) = sup_y {⟨x, y⟩ - ⟨Fu, y⟩}.
The bracket of the adjoint of a polyhedral bifunction #
The adjoint of a polyhedral convex bifunction is polyhedral concave and its concave bracket is
polyhedral convex in y. With the fact that a polyhedral function agrees with its closure
throughout its effective domain, that pushes the equality of the two brackets out from the relative
interior of an effective domain to all of it.
A polyhedral concave function agrees with its closure throughout its effective domain, not
merely on the relative interior. The mirror of PolyhedralFn.clFn_eq_of_mem_dom, by negating
twice.
A proper polyhedral convex bifunction is closed. Its graph function has a polyhedral, hence
closed, epigraph, and properness rules out the -∞ branch of clFn.
The adjoint of a polyhedral convex bifunction is polyhedral concave. -F* is the conjugate
of the graph function composed with the reflection (y, v) ↦ (-v, y). Neither properness nor
closedness is needed, exactly as in the concavity half of the adjoint construction.
The effective domain of y ↦ ⟨u, G y⟩ is dom G, for every u: the concave bracket is
+∞ exactly where the slice G y is identically -∞. Mirror of domConcave_bracket.
The concave bracket of a polyhedral concave bifunction is polyhedral convex in its second
variable: ⟨u, G y⟩ = ⨅ v (⟨u, v⟩ - (G y)(v)) is the image of a polyhedral convex function on
Y × V under (y, v) ↦ y, and such an image is polyhedral.
The two closures as inverse bijections #
K̄ = cl₁ K̲ and K̲ = cl₂ K̄ are inverse bijections between the lower closed and the upper
closed concave-convex functions on U × Y. The round trips
are the definitions of LowerClosedFn and UpperClosedFn; the content is that each operator lands
in the other class.
Equations
- One or more equations did not get rendered due to their size.