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Numerous problems in physics, optimization, and economics reduce to find a solution of equilibrium problem.
Thus EP ( g ) : = { z ∈ C : g ( z, y ) ≥ 0, ∀ y ∈ C }. Numerous problems in physics, optimization and economics reduce to finding a solution of equilibrium problem.
The equilibrium problem is to find x ∗ ∈ C such that F ( x ∗, y ) ≥ 0, for all y ∈ C. We shall denote the solutions set of the equilibrium problem by E P ( F ). Numerous problems in physics, optimization, and economics reduce to find a solution of equilibrium problem.
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The purpose of this paper is to introduce a split equilibrium problem (SEP) and find a solution of the equilibrium problem such that its image under a given bounded linear operator is a solution of another equilibrium problem.
From (1.1) and (1.2), we can see that the SEP contains two equilibrium problems, and the image of a solution of one equilibrium problem under a given bounded linear operator is a solution of another equilibrium problem.
Since many problems coming from physics, optimization, and economics reduce to find a solution of the equilibrium problem (1.1) (see, for instance, [1, 2]), the equilibrium problem (1.1) is very important in the field of applied mathematics.
Finally, we consider finding a solution of the equilibrium problem.
The following lemma gives a characterization of a solution of an equilibrium problem.
In this section, we consider the problem of approximating a solution of the equilibrium problem.
Numerous problems in physics, optimization and economics reduce to finding a solution of the equilibrium problem.
where u ∈ K is a solution of the equilibrium problem (2.5).
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