In mathematics, a variational inequality is an inequality involving a functional, which has to be solved for all possible values of a given variable, belonging usually to a convex set. The mathematical theory of variational inequalities was initially developed to deal with equilibrium problems, precisely the Signorini problem: in that model problem, the functional involved was obtained as the first variation of the involved potential energy. Therefore, it has a variational origin, recalled by the name of the general abstract problem. The applicability of the theory has since been expanded to include problems from economics, finance, optimization and game theory.
The first problem involving a variational inequality was the Signorini problem, posed by Antonio Signorini in 1959 and solved by Gaetano Fichera in 1963, according to the references ( Antman 1983 , pp. 282–284) and ( Fichera 1995 ): the first papers of the theory were ( Fichera 1963 ) and ( Fichera 1964a ), ( Fichera 1964b ). Later on, Guido Stampacchia proved his generalization to the Lax–Milgram theorem in ( Stampacchia 1964 ) in order to study the regularity problem for partial differential equations and coined the name "variational inequality" for all the problems involving inequalities of this kind. Georges Duvaut encouraged his graduate students to study and expand on Fichera's work, after attending a conference in Brixen on 1965 where Fichera presented his study of the Signorini problem, as Antman 1983 , p. 283 reports: thus the theory become widely known throughout France. Also in 1965, Stampacchia and Jacques-Louis Lions extended earlier results of ( Stampacchia 1964 ), announcing them in the paper ( Lions & Stampacchia 1965 ): full proofs of their results appeared later in the paper ( Lions & Stampacchia 1967 ).
Following Antman (1983 , p. 283), the definition of a variational inequality is the following one.
Definition 1. Given a Banach space , a subset of , and a functional from to the dual space of the space , the variational inequality problem is the problem of solving for the variable belonging to the following inequality:
where is the duality pairing.
In general, the variational inequality problem can be formulated on any finite – or infinite-dimensional Banach space. The three obvious steps in the study of the problem are the following ones:
This is a standard example problem, reported by Antman (1983 , p. 283): consider the problem of finding the minimal value of a differentiable function over a closed interval . Let be a point in where the minimum occurs. Three cases can occur:
These necessary conditions can be summarized as the problem of finding such that
The absolute minimum must be searched between the solutions (if more than one) of the preceding inequality: note that the solution is a real number, therefore this is a finite dimensional variational inequality.
A formulation of the general problem in is the following: given a subset of and a mapping , the finite-dimensional variational inequality problem associated with consist of finding a -dimensional vector belonging to such that
where is the standard inner product on the vector space .
In the historical survey ( Fichera 1995 ), Gaetano Fichera describes the genesis of his solution to the Signorini problem: the problem consist in finding the elastic equilibrium configuration of an anisotropic non-homogeneous elastic body that lies in a subset of the three-dimensional euclidean space whose boundary is , resting on a rigid frictionless surface and subject only to its mass forces. The solution of the problem exists and is unique (under precise assumptions) in the set of admissible displacements i.e. the set of displacement vectors satisfying the system of ambiguous boundary conditions if and only if
where and are the following functionals, written using the Einstein notation
where, for all ,
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Gaetano Fichera was an Italian mathematician, working in mathematical analysis, linear elasticity, partial differential equations and several complex variables. He was born in Acireale, and died in Rome.
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