THE SIMULTANEOUS NONLINEAR INEQUALITIES PROBLEM AND APPLICATIONS Simultaneous Nonlinear Inequalities Problem ZORAN D. MITROVIĆ Zoran D. Mitrović Faculty of Electrical Engineering University of Banja Luka 78000 Banja Luka, Patre 5 Bosnia and Herzegovina EMail: zmitrovic@etfbl.net vol. 8, iss. 3, art. 84, 2007 Title Page Contents JJ II 02 August, 2007 J I Communicated by: S.P. Singh Page 1 of 18 2000 AMS Sub. Class.: 47J20, 41A50, 54H25. Key words: KKM map, Best approximations, Fixed points and coincidences, Variational inequalities, Saddle points. Received: 22 June, 2007 Accepted: Abstract: In this paper, we prove the existence of a solution to the simultaneous nonlinear inequality problem. As applications, we derive the results on the simultaneous approximations, variational inequalities and saddle points. The results of this paper generalize some known results in the literature. Go Back Full Screen Close Contents 1 Introduction and Preliminaries 3 2 Main Result 5 3 Applications 10 Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Title Page Contents JJ II J I Page 2 of 18 Go Back Full Screen Close 1. Introduction and Preliminaries In this paper, using the methods of KKM-theory, see for example, Singh, Watson and Srivastava [17] and Yuan [20], we prove some results on simultaneous nonlinear inequalities. As corollaries, some results on the simultaneous approximations, variational inequalities and saddle points are obtained. Let X be a set. We shall denote by 2X the family of all non-empty subsets of X. If A is a subset of a vector space X, then coA denotes the convex hull of A in X. Let K be a subset of a topological vector space X. Then a multivalued map G : K → 2X is called a KKM-map if co{x1 , . . . , xn } ⊆ n [ G(xi ) Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Title Page i=1 for each finite subset {x1 , . . . , xn } of K. Let K be a nonempty convex subset of a vector space X. For a map f : K → R, the set Ep(f ) = {(x, r) ∈ K × R : f (x) ≤ r} is called the epigraph of f . Note that a map f is convex if and only if the set Ep(f ) is convex. Let K be a nonempty set, n ∈ N and fi : K × K → R maps for all i ∈ [n], where [n] = {1, . . . , n}. A simultaneous nonlinear inequalities problem is to find x0 ∈ K such that it satisfies the following inequality (1.1) n X fi (x0 , y) ≥ 0 for all y ∈ K. i=1 When n = 1 and f (x, x) = 0 for all x ∈ K, (1.1) reduces to the scalar equilibrium problem considered by Blum and Oettli [5], that is, to find x0 ∈ K such Contents JJ II J I Page 3 of 18 Go Back Full Screen Close that f (x0 , y) ≥ 0 for all y ∈ K. This problem has been generalized and applied in various directions, see for example [1], [2], [3], [9], [10], [14]. The following result of Ky Fan [8] will be used to prove the main result of this paper. Theorem 1.1 ([8]). Let X be a topological vector space, K a nonempty subset of X and G : K → 2X T be a KKM-map with closed values. If G(x) is compact for at least one x ∈ K, then G(x) 6= ∅. Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 x∈K Title Page Contents JJ II J I Page 4 of 18 Go Back Full Screen Close 2. Main Result Now we will apply Theorem 1.1 to show the existence of a solution for our simultaneous nonlinear inequalities problem. Theorem 2.1. Let K be a nonempty compact convex subset of a topological vector space X and fi : K × K → R, i ∈ [n], continuous maps. If there exists λ ≥ 0, such that Zoran D. Mitrović coEp(fi (x, ·)) ⊆ Ep(fi (x, ·) − λ) (2.1) Simultaneous Nonlinear Inequalities Problem vol. 8, iss. 3, art. 84, 2007 for all x ∈ K, i ∈ [n], then there exists x0 ∈ K such that λn + n X fi (x0 , y) ≥ i=1 n X Title Page fi (x0 , x0 ) for all y ∈ K. Contents i=1 Proof. Let us define the map G : K → 2K by ( ) n n X X G(y) = x ∈ K : λn + fi (x, y) ≥ fi (x, x) , i=1 for all y ∈ K. JJ II J I Page 5 of 18 i=1 Go Back We have that G(y) is nonempty for all y ∈ K, because y ∈ G(y) for all y ∈ K. The fi , i ∈ [n] are continuous maps and we obtain that G(y) is closed for each y ∈ K. Since K is a compact set, we have that G(y) is compact for each y ∈ K. Now, we prove that G is a KKM-map. If G is not a KKM-map, then Pmthere exists a subset {y1 , . . . , ym } of K and there exists µj ≥ 0, j ∈ [m] with j=1 µj = 1, such that m m X [ yµ = µj y j ∈ / G(yj ). j=1 j=1 Full Screen Close So, we have n X λn + fi (yµ , yj ) < n X i=1 fi (yµ , yµ ), for all j ∈ [n]. i=1 On the other hand, since, (yj , fi (yµ , yj )) ∈ Ep(fi (yµ , ·)), for all i ∈ [n], j ∈ [m], Zoran D. Mitrović from condition (2.1) we obtain m X yµ , Simultaneous Nonlinear Inequalities Problem vol. 8, iss. 3, art. 84, 2007 ! ∈ Ep(fi (yµ , ·) − λ) µj fi (yµ , yj ) for all i ∈ [n]. j=1 Title Page Contents Therefore, it follows that fi (yµ , yµ ) − λ ≤ m X µj fi (yµ , yj ) for all i ∈ [n]. j=1 n X fi (yµ , yµ ) ≤ λn + i=1 m n X X J I Go Back µj fi (yµ , yj ). Full Screen i=1 j=1 Close Further, since i=1 j=1 II Page 6 of 18 This implies that n X m X JJ µj fi (yµ , yj ) = m X j=1 µj n X i=1 fi (yµ , yj ) ≤ max 1≤j≤m n X i=1 fi (yµ , yj ), and λn + n X fi (yµ , yj ) < n X i=1 we obtain fi (yµ , yµ ), for all j ∈ [m], i=1 n X fi (yµ , yµ ) < i=1 n X fi (yµ , yµ ). i=1 This is a contradiction. Thus, G is a KKM-map. By Theorem 1.1, there exists x0 ∈ K such that x0 ∈ G(y) for all y ∈ K, that is, λn + n X fi (x0 , y) ≥ n X i=1 fi (x0 , x0 ) for all y ∈ K. i=1 Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Title Page Contents Corollary 2.2. Let K be a nonempty compact convex subset of a topological vector space X and fi : K × K → R, i ∈ [n], continuous maps. If y 7→ fi (x, y) are convex for all x ∈ K, i ∈ [n], then there exists x0 ∈ K such that n X fi (x0 , y) ≥ i=1 n X fi (x0 , x0 ) for all y ∈ K. i=1 Note that, if in Theorem 2.1 the maps x 7→ fi (x, y) are upper semicontinuous for all y ∈ K and fi (x, x) ≥ 0 for all x ∈ K, i ∈ [n], we obtain the following result. Corollary 2.3. Let K be a nonempty compact convex subset of a topological vector space X and fi : K × K → R, i ∈ [n], maps such that (i) fi (x, x) ≥ 0 for all x ∈ K, JJ II J I Page 7 of 18 Go Back Full Screen Close (ii) x 7→ fi (x, y) are upper semicontinuous for all y ∈ K, (iii) y 7→ fi (x, y) are convex for all x ∈ K, for all i ∈ [n]. Then there exists x0 ∈ K such that n X fi (x0 , y) ≥ 0 for all y ∈ K. Simultaneous Nonlinear Inequalities Problem i=1 From Theorem 2.1, we have the theorem on the existence of zeros of bifunctions. Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Theorem 2.4. Let K be a nonempty compact convex subset of a topological vector space X, fi : K × K → R, i ∈ [n] continuous maps and there exists λ ≥ 0 such that the condition (2.1) is satisfied for all x ∈ K and i ∈ [n]. If for every x ∈ K, with fi (x, x) 6= 0 for all i ∈ [n], n \ {y ∈ K : fi (x, x) − fi (x, y) > λ} = 6 ∅ i=1 then the set Contents JJ II J I Page 8 of 18 ( S= Title Page x ∈ K : λn + n X i=1 fi (x, y) ≥ n X ) fi (x, x) for all y ∈ K Full Screen i=1 is nonempty and for each x ∈ S there exists i ∈ [n] such that fi (x, x) = 0. Proof. By Theorem 2.1, there exists x0 ∈ S. We claim that such x0 is a zero of fi for any i ∈ [n]. Suppose not, i.e., fi (x0 , x0 ) 6= 0 for all i ∈ [n]. Then we have the existence of y0 ∈ K, such that fi (x0 , x0 ) − fi (x0 , y0 ) > λ Go Back for all i ∈ [n]. Close Consequently, λn + n X i=1 fi (x0 , y0 ) < n X fi (x0 , x0 ), i=1 so, x0 ∈ / S and that is a contradiction. Therefore, fi (x0 , x0 ) = 0 for any i ∈ [n]. Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Title Page Contents JJ II J I Page 9 of 18 Go Back Full Screen Close 3. Applications From Theorem 2.1, we have the following simultaneous approximations theorem for metric spaces. Theorem 3.1. Let K be a nonempty compact convex subset of a topological vector space X with metric d and fi , gi : K → X, i ∈ [n] continuous maps. Suppose there exists λ ≥ 0, such that fi , gi satisfy the condition (3.1) co{(y, r) : d(gi (y), fi (x)) ≤ r} ⊆ {(y, r) : d(gi (y), fi (x)) ≤ r + λ} Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 for all x ∈ K, i ∈ [n]. Then there exists x0 ∈ K such that λn + n X i=1 d(gi (y), fi (x0 )) ≥ n X Title Page d(gi (x0 ), fi (x0 )) for all y ∈ K. Contents i=1 Proof. Define fi (x, y) = d(gi (y), fi (x)), for x, y ∈ K, i ∈ [n]. JJ II J I Page 10 of 18 Now, the result follows by Theorem 2.1. Go Back Remark 1. Let X be a normed space and let gi : K → X be almost affine maps, see, for example [6], [13], [15], [16], [17], [18], i. e. ||gi (αx1 + (1 − α)x2 ) − y|| ≤ α||gi (x1 ) − y|| + (1 − α)||gi (x2 ) − y|| for all x1 , x2 ∈ K, y ∈ X, α ∈ [0, 1], i ∈ [n]. Then for λ = 0, assumption (3.1) is satisfied. Full Screen Close Corollary 3.2. Let K be a nonempty compact convex subset of a normed space X, fi , gi : K → X continuous maps and gi almost affine maps for all i ∈ [n]. Then there exists x0 ∈ K such that n n X X ||gi (y) − fi (x0 )|| ≥ ||gi (x0 ) − fi (x0 )|| for all y ∈ K. i=1 i=1 Corollary 3.3. Let K be a nonempty compact convex subset of a normed space X and fi : K → X, i ∈ [n], continuous maps. Then there exists x0 ∈ K such that n X i=1 ||y − fi (x0 )|| ≥ n X Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 ||x0 − fi (x0 )|| for all y ∈ K. i=1 Title Page Remark 2. (i) If n = 1 then Corollary 3.3 reduces to the well-known best approximations theorem of Ky Fan [8] and Corollary 3.2 reduces to the result of J.B. Prolla [15]. (ii) Note that, if X is a Hilbert space and n = 2, from Corollary 3.3 we obtain the result of D. Delbosco [7]. As application of Theorem 2.4, we have the following coincidence point theorem for metric spaces. Theorem 3.4. Let K be a nonempty compact convex subset of a topological vector space X with metric d and fi , gi : K → X, i ∈ [n], continuous maps. Suppose there exists λ ≥ 0, such that fi , gi satisfy the condition (3.1) for all x ∈ K, i ∈ [n]. If for every x ∈ K, with fi (x) 6= gi (x) for all i ∈ [n], n \ i=1 {y ∈ K : d(gi (x), fi (x)) > d(gi (y), fi (x)) + λ} = 6 ∅, Contents JJ II J I Page 11 of 18 Go Back Full Screen Close then the set ( S= x ∈ K : λn + n X d(gi (y), fi (x)) ≥ i=1 n X ) d(gi (x), fi (x)) for all y ∈ K i=1 is nonempty and for each x ∈ S there exists i ∈ [n] such that fi (x) = gi (x). Proof. Put fi (x, y) = d(gi (y), fi (x)), for x, y ∈ K, i ∈ [n]. Then fi , gi , i ∈ [n] satisfy all of the requirements of Theorem 2.4. Corollary 3.5. Let K be a nonempty compact convex subset of a metric space X, f, g : K → X continuous maps and Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Title Page Contents d(g(λx1 + (1 − λ)x2 ), f (y)) ≤ λd(g(x1 ), f (y)) + (1 − λ)d(g(x2 ), f (y)), for all x1 , x2 ∈ K, y ∈ X, λ ∈ [0, 1]. If for every x ∈ K, with f (x) 6= g(x) there exists a y ∈ K such that d(g(x), f (x)) > d(g(y), f (x)), JJ II J I Page 12 of 18 Go Back then the set S = {x ∈ K : d(g(y), f (x)) ≥ d(g(x), f (x)) for all y ∈ K} is nonempty and f (x) = g(x) for each x ∈ S. Corollary 3.6. Let K be a nonempty compact convex subset of a metric space X and f : K → X a continuous map such that x 7→ d(x, f (y)) is a convex map for all y ∈ X. Full Screen Close If for every x ∈ K, with f (x) 6= x there exists a y ∈ K such that d(x, f (x)) > d(y, f (x)), then the set S = {x ∈ K : d(y, f (x)) ≥ d(x, f (x)) for all y ∈ K} Simultaneous Nonlinear Inequalities Problem is nonempty and f (x) = x for each x ∈ S. Zoran D. Mitrović We note that if f : K → K, then, from Corollary 3.6, we obtain the famous Schauder fixed point theorem. Now, we establish an existence result for our simultaneous variational inequality problem by using Corollary 2.3. Theorem 3.7. Let X be a reflexive Banach space with its dual X ? and K a compact convex subset of X. Let Ti : K → X ? , i ∈ [n], be maps. If x 7→ hTi (x), y − xi are upper semicontinuous for all y ∈ K, i ∈ [n], then there exists x0 ∈ K such that n X hTi (x0 ), y − x0 i ≥ 0 for all y ∈ K. i=1 i=1 Title Page Contents JJ II J I Page 13 of 18 Go Back Proof. Let fi (x, y) = hTi (x), y − xi, for all x, y ∈ K, i ∈ [n]. By our assumptions, the maps fi satisfy all the hypotheses of Corollary 2.3, and it follows that there exists x0 ∈ K such that n X vol. 8, iss. 3, art. 84, 2007 hTi (x0 ), y − x0 i ≥ 0 for all y ∈ K. Full Screen Close Remark 3. (i) If n = 1 then Theorem 3.7 reduces to the classical result of F. E. Browder and W. Takahashi, see for example [17, Theorem 4. 33]. (ii) Given two maps T : K → X ? and µ : K × K → X, the variational-like inequality problem, see for example [12], is to find x0 ∈ K such that hT (x0 ), µ(y, x0 )i ≥ 0 for all y ∈ K. Zoran D. Mitrović If in Corollary 2.3 a map f1 (x, y) = hT (x), µ(y, x)i Simultaneous Nonlinear Inequalities Problem vol. 8, iss. 3, art. 84, 2007 for all x, y ∈ K and n = 1, we obtain the result of X.Q. Yang and G.Y. Chen [19, Theorem 8], and the result of A. Behera and L. Nayak [4, Theorem 2.1]. Also, if in Corollary 2.3 a map f1 (x, y) = hT (x), µ(y, x)i − hA(x), µ(y, x)i for all x, y ∈ K, where A : K → X ? , we obtain the result of G. K. Panda and N. Dash, [11, Theorem 2.1]. Finally, we give the following application to the existence for saddle points. Theorem 3.8. Let K be a nonempty compact convex subset of a topological vector space X and fi : K × K → R continuous maps and fi (x, x) = 0 for all x ∈ K, i ∈ [n]. If there exists λ ≥ 0, such that coEp(fi (x, ·)) ⊆ Ep(fi (x, ·) − λ) for all x ∈ K and coEp(−fi (·, y)) ⊆ Ep(−fi (·, y) − λ) for all y ∈ K, Title Page Contents JJ II J I Page 14 of 18 Go Back Full Screen Close for all i ∈ [n], then 0 ≤ min max x∈K y∈K n X fi (x, y) − max min y∈K x∈K i=1 n X fi (x, y) ≤ 2λn. i=1 Proof. Note that 0 ≤ min max x∈K y∈K n X fi (x, y) − max min y∈K x∈K i=1 n X fi (x, y) i=1 holds in general. By our assumptions, fi , i ∈ [n] satisfy all the hypotheses of Theorem 2.1, and it follows that there exists x0 ∈ K such that min n X y∈K vol. 8, iss. 3, art. 84, 2007 fi (x0 , y) ≥ −λn. Contents i=1 max min n X x∈K y∈K fi (x, y) ≥ −λn. n X y∈K max x∈K II J I Page 15 of 18 Go Back Full Screen Close gi (y0 , y) ≥ −λn, i=1 so JJ i=1 Let gi (x, y) = −fi (y, x) for all (x, y) ∈ K × K, i ∈ [n]. By Theorem 2.1, it follows that there exists y0 ∈ K such that min Zoran D. Mitrović Title Page So, we obtain, (3.2) Simultaneous Nonlinear Inequalities Problem n X i=1 fi (x, y0 ) ≤ λn. Therefore, we obtain, min max (3.3) y∈K x∈K n X fi (x, y) ≤ λn. i=1 By combining (3.2) and (3.3), it follows that min max x∈K y∈K n X fi (x, y) − max min y∈K x∈K i=1 n X fi (x, y) ≤ 2λn. i=1 Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 Corollary 3.9. Let K be a nonempty compact convex subset of a topological vector space X. Suppose fi : K × K → R, i ∈ [n] are continuous maps such that 1. fi (x, x) = 0 for all x ∈ K, 2. y 7→ fi (x, y) is convex for all x ∈ K, 3. x 7→ fi (x, y) is concave for all y ∈ K, y∈K x∈K n X i=1 Contents JJ II J I Page 16 of 18 for all i ∈ [n]. Then we have max min Title Page Go Back fi (x, y) = min max x∈K y∈K n X i=1 fi (x, y). Full Screen Close References [1] Q.H. ANSARI, I.V. KONNOV AND J.-C. YAO, On generalized vector equilibrium problems, Nonlinear Anal., 47 (2001), 543–554. [2] Q.H. ANSARI, A.H. SIDDIQI AND S.Y. WU, Existence and duality of generalized vector equilibrium problems, J. Math. Anal. Appl., 259 (2001), 115–126. [3] Q.H. ANSARI AND J.-C. YAO, An existence result for the generalized vector equilibrium problem, Appl. Math. Lett., 12(8) (1999), 53–56. Simultaneous Nonlinear Inequalities Problem Zoran D. Mitrović vol. 8, iss. 3, art. 84, 2007 [4] A. BEHERA AND L. NAYAK, On nonlinear variational-type inequality problem, Indian J. Pure Appl. Math., 30(9) (1999), 911–923. 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KUMAR, A variational-like inequalitiy problem, Bull. Austral. Math. Soc., 39 (1989), 225–231. [13] S. PARK, S.P. SINGH AND B. WATSON, Remarks on best approximation and fixed points, Indian J. Pure Appl. Math., 25(5) (1994), 459–462. Simultaneous Nonlinear Inequalities Problem [14] S. PARK, New version of the Fan-Browder fixed point theorem and existence of economic equilibria, Fixed Point Theory Appl., 37 (2004), 149–158. vol. 8, iss. 3, art. 84, 2007 [15] J.B. PROLLA, Fixed point theorems for set-valued mappings and existence of best approximants, Numer. Funct. Anal. and Optimiz., 5(4) (1983), 449–455. Title Page Zoran D. Mitrović [16] V.M. SEHGAL AND S.P. SINGH, A theorem on best approximations, Numer. Funct. Anal. and Optimiz., 10(1/2) (1989), 181–184. [17] S. SINGH, B. WATSON, AND P. SRIVASTAVA, Fixed Point Theory and Best Approximation: The KKM-map Principle, Mathematics and its Applications (Dordrecht), 424., Kluwer Academic Publishers, 220 p.(1997). [18] S.P. SINGH AND B. WATSON, Best approximation and fixed point theorems, Proc. NATO-ASI on Approximation Theory, Wawelets, and Applications, Kluwer Academic Publishers, (1995), 285–294. [19] X.Q. YANG AND G.Y. CHEN, A class of nonconvex functions and prevariational inequalities, J. Math. Anal. Appl., 169 (2001), 359–373. [20] G.X.Z. YUAN, KKM Theory and Applications in Nonlinear Analysis, Pure and Applied Mathematics, Marcel Dekker, 218., New York, Marcel Dekker, 621 p. (1999). Contents JJ II J I Page 18 of 18 Go Back Full Screen Close