Let be the family of closed half-spaces containing . Certainly . To prove the reverse inclusion, exclude an arbitrary .
Suppose first that is nonempty. Its Euclidean projection onto a convex set exists: minimizing the continuous squared distance may be restricted to a sufficiently large closed ball, whose intersection with the closed set is compact. Put . For every , convexity puts in for . Minimality of gives
Thus the closed half-space
contains , while excludes . Since every point outside is excluded by some member of ,
This is the half-space representation of a closed convex set. If , every point can again be excluded by a containing half-space, so the intersection is empty. If , no proper half-space contains it and the empty intersection is, by convention, .
The Legendre-Fenchel transform and biconjugate are
The Fenchel-Moreau theorem says that every proper convex function which is lower semicontinuous equals its biconjugate. More generally, if a proper extended-real has an affine minorant, then
where the right side is the greatest lower semicontinuous convex minorant. This is biconjugation as closed convexification. The affine-minorant hypothesis ensures that the closed convexification is proper; an unqualified statement including arbitrary improper functions would need separate conventions.
Here are the essential proof steps. The Fenchel–Young inequality gives . Every term in the supremum defining is an affine minorant of , and conversely any affine minorant has . Thus is exactly the supremum of all affine minorants, hence is convex and lower semicontinuous.
Put . Its epigraph is the closed convex hull of the epigraph of . Applying the half-space representation of a closed convex set in recovers that epigraph from its containing half-spaces. A containing half-space written
has , since epigraphs extend upwards. If , it is precisely the epigraph inequality of an affine minorant, .
Vertical half-spaces with must also be accounted for. Choose one affine minorant of , which exists because is proper and closed: strictly separate from its epigraph for a finite domain point ; the separating coefficient of cannot be zero, since that would not distinguish points with the same . If a vertical containing inequality is , then
is still an affine minorant on the domain of . At a point violating the vertical inequality, these minorants tend to infinity as . Thus vertical domain restrictions are also recovered by the supremum of affine minorants.
Consequently equals that supremum. Every affine minorant of is below , while the epigraph of any affine minorant of contains its closed convex epigraph hull. Therefore and have the same affine minorants, completing . The theorem in the previous solution supplies the geometric separation step behind biconjugation.
If , the family of proper containing half-spaces is empty and its intersection is, by convention, . If , every closed half-space contains it and their intersection is empty. Now suppose is a nonempty proper closed convex set. Take and let be its Euclidean projection onto a convex set. This projection exists: a minimizing sequence can be restricted to a bounded ball, and closedness gives attainment. It is unique by convexity and strict convexity of squared distance.
For , the segment remains in for . Minimality at implies
Thus the closed half-space contains but excludes , since . Every point outside is excluded by at least one containing half-space. The reverse inclusion is immediate, giving
This is the half-space representation of a closed convex set. The argument gives an explicit separating hyperplane rather than just citing a Hahn-Banach separation theorem.
For an extended-real function define its Fenchel conjugate by and its biconjugate by . The Fenchel-Moreau theorem states, in the standard proper-envelope setting,
Here the right side is the largest lower semicontinuous convex function below , equivalently the function whose epigraph is the closed convex hull of . It is enough to assume is proper and has an affine minorant, ensuring this envelope is proper. In particular, for a proper convex function that is lower semicontinuous, .
First, by the definition of the convex conjugate. The biconjugate is a supremum of continuous affine functions, so it is convex, lower semicontinuous and no greater than . Second, the best intercept for an affine minorant with slope is : for all precisely when . Thus is the supremum of all affine minorants.
To prove that no part of the closed convex envelope is missed, set . The half-space representation of a closed convex set from part (a), applied in , separates any from by an inequality . Because is upward closed, . If , division by gives an affine minorant with .
A vertical separator has . Let be an existing affine minorant. Combine with to obtain
Since , a sufficiently small positive makes this affine function exceed . Thus vertical half-spaces can be approximated by nonvertical epigraph supports. Every point below the envelope is excluded by an affine minorant, so the supremum of these minorants is exactly the envelope. This is the decisive use of part (a).
Properness and the minorant convention matter for unrestricted extended-real functions. For example, on has no affine minorant; and . With the corresponding improper-envelope convention its closed convex envelope is also . The theorem should not silently describe such an envelope as proper. The identically function is another degenerate case, handled separately by extended-real conventions.