2011
DOI: 10.1007/s10898-011-9706-1
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Inequality problems of quasi-hemivariational type involving set-valued operators and a nonlinear term

Abstract: The aim of this paper is to establish the existence of at least one solution for a general inequality of quasi-hemivariational type, whose solution is sought in a subset K of a real Banach space E. First, we prove the existence of solutions in the case of compact convex subsets and the case of bounded closed and convex subsets. Finally, the case when K is the whole space is analyzed and necessary and sufficient conditions for the existence of solutions are stated. Our proofs rely essentially on the Schauder's … Show more

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Cited by 34 publications
(16 citation statements)
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References 24 publications
(18 reference statements)
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“…Theorem 3.1 extends the results in Costea and Radulescu [5], Liu and Zeng [18], and Liu et al [19]. Many important situations are incorporated in Theorem 3.1.…”
Section: Properties Of Solution Set For Shvisupporting
confidence: 69%
“…Theorem 3.1 extends the results in Costea and Radulescu [5], Liu and Zeng [18], and Liu et al [19]. Many important situations are incorporated in Theorem 3.1.…”
Section: Properties Of Solution Set For Shvisupporting
confidence: 69%
“…In this direction, we consider quasi-hemivariational inequalities introduced in [13]. Quasi-hemivariational inequalities are generalization of multivalued variational inequalities and several connections with equilibrium problems are obtained, see also [14][15][16]10] for recent and old investigations on the subject. Our approach is based on a result of [15] stating that a point is a solution of a quasi-hemivariational inequality if and only if it is a fixed point of a suitable multivalued mapping.…”
Section: Introductionmentioning
confidence: 99%
“…Proof The idea of the proof comes from Costea and Radulescu [14]. Arguing by contradiction, let us assume that problem (3.1) has no solution.…”
Section: Mapping Satisfying the Following Conditionsmentioning
confidence: 99%
“…[14] studied the following quasi-hemivariational inequality problem: find x ∈ K and x * ∈ F(x) such that…”
Section: Mapping Satisfying the Following Conditionsmentioning
confidence: 99%