Fenchel-Moreau conjugate function
Given two sets , W and a "coupling" function \varphi : X \times W \rightarrow \overline { \mathbf{R} }, the Fenchel–Moreau conjugate to a function f : X \rightarrow \overline { \mathbf{R} } with respect to the coupling function \varphi is the function f ^ { c \langle \varphi \rangle } : W \rightarrow \overline { \mathbf{R} } defined by
\begin{equation} \tag{a1} f ^ { c ( \varphi ) } ( w ) = \operatorname { sup } _ { x \in X } \{ \varphi ( x , w ) - f ( x ) \} ( w \in W ), \end{equation}
with the convention ( + \infty ) - ( + \infty ) = - \infty - ( - \infty ) = - \infty [a1]. When X and W are linear spaces in duality, via a bilinear coupling function \varphi (cf. also Linear space; Duality), f ^ { c ( \varphi )} is just the usual Fenchel conjugate f ^ { * } (called also the Young–Fenchel conjugate, or Legendre–Fenchel conjugate; cf. also Legendre transform) of f. If X is a locally convex space and W = X ^ { * }, the conjugate space of X, with the coupling function \varphi ( x , w ) = w ( x ), then the second Fenchel conjugate f ^ { * * } = ( f ^ { * } ) ^ { * } of f coincides with the greatest lower semi-continuous minorant of f (Moreau's theorem); this result admits a natural extension to Fenchel–Moreau conjugates f ^ { c ( \varphi )}.
Another important particular class of Fenchel–Moreau conjugates is obtained for coupling functions \varphi : X \times W \rightarrow \overline { \mathbf{R} } that take only the values 0 and - \infty, or, equivalently, the conjugates for which there exists a (unique) subset \Omega of X \times W such that
![]() | (a2) |
these are called conjugates of type Lau or level-set conjugates. While Fenchel conjugates have many applications in convex analysis, conjugates of type Lau are useful for the study of quasi-convex functions (i.e., of functions all of whose level sets are convex) and for duality theory in micro-economics (duality between direct and indirect utility functions).
A useful related concept is the Flachs–Pollatschek conjugate function f ^ { \Delta ( \varphi ) } : W \rightarrow \overline {\bf R }, defined by
\begin{equation} \tag{a3} f ^ { \Delta ( \varphi ) } ( w ) = \operatorname { sup } _ { x \in X } \operatorname { min } \{ \varphi ( x , w ) , - f ( x ) \} ( w \in W ), \end{equation}
which has applications in, e.g., optimization theory.
A unified approach is the conjugate function with respect to a binary operation \odot on \overline{\mathbf{R}}, assumed completely distributive (cf. also Completely distributive lattice) with respect to in the lattice ( \overline { \mathbf{R} } , \leq ), defined by
\begin{equation} \tag{a4} f ^ { b ( \varphi ) } ( w ) = \operatorname { sup } _ { x \in X } \{ - [ - \varphi ( x , w ) \odot f ( x ) ] \} ( w \in W ); \end{equation}
in particular, when \odot = + (respectively, \odot=\max), f ^ { b ( \varphi ) } is the Fenchel–Moreau (respectively, the Flachs–Pollatschek) conjugate function of f.
In another direction, the Fenchel–Moreau conjugate has been generalized to functions with values in extensions \overline { G } of ordered groups G, with applications to functions in the extension (by adjoining - \infty and + \infty) of the additive group ( \mathbf{R} , + , \leq ) and to functions in the extension (by adjoining 0 and + \infty) of the multiplicative group ( \mathbf{R} _ { + } \backslash \{ 0 \} , \times , \leq ). More generally, one has also defined the conjugate function of f : X \rightarrow \overline { G } with respect to a binary operation \odot on \overline { G }, encompassing the preceding conjugates as particular cases.
One of the main fields of applications of these concepts is optimization theory: When f is the objective function of an optimization problem, a conjugate function is used to define (the objective function of) a "dual" optimization problem.
For more details, see [a2], [a3], [a4].
See also Conjugate function; Dual functions.
References
[a1] | J.-J. Moreau, "Fonctions convexes en dualité" , Univ. Montpellier (1962) |
[a2] | J. Flachs, M.A. Pollatschek, "Duality theorems for certain programs involving minimum or maximum operations" Math. Progr. , 16 (1979) pp. 348–370 |
[a3] | W.E. Diewert, "Duality approaches to microeconomic theory" K.J. Arrow (ed.) M.D. Intrilligator (ed.) , Handbook of Mathematical Economics , 2 , North-Holland (1982) pp. 535–599 |
[a4] | I. Singer, "Abstract convex analysis" , Wiley–Interscience (1997) |
Fenchel-Moreau conjugate function. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Fenchel-Moreau_conjugate_function&oldid=50683