Hindawi Publishing Corporation Journal of Applied Mathematics Volume 2011, Article ID 921835, 15 pages doi:10.1155/2011/921835 Research Article Sensitivity Analysis for a System of Generalized Nonlinear Mixed Quasi Variational Inclusions with H-Monotone Operators Han-Wen Cao Department of Science, Nanchang Institute of Technology, Nanchang 330099, China Correspondence should be addressed to Han-Wen Cao, chwhappy@163.com Received 20 March 2011; Revised 2 June 2011; Accepted 13 June 2011 Academic Editor: Ya Ping Fang Copyright q 2011 Han-Wen Cao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The existence of the solution for a new system of generalized nonlinear mixed quasi variational inclusions with H-monotone operators is proved by using implicit resolvent technique, and the sensitivity analysis of solution in Hilbert spaces is given. Our results improve and generalize some results of the recent ones. 1. Introduction Sensitivity analysis of solution for variational inequalities and variational inclusions has been studied by many authors via quite diļ¬erent technique. See 1–7 and the reference therein. In 2004, Agarwal et al. 1 introduced and studied the following problem which is called the system of parametric generalized nonlinear mixed quasi variational inclusions. Let H be a real Hilbert space endowed with the product ·, · and norm · , respectively. Let Ω and Λ be two nonempty open subsets of H in which the parametric ω and λ take values. Let M : H × Ω → 2H and N : H × Λ → 2H be two maximal monotone mappings with respect to the first argument. H1 , S : H × Ω → H and H2 , T : H × Λ → H be nonlinear single-valued mappings. The system of parametric generalized nonlinear mixed quasi variational inclusions problem 1 is to find x, y ∈ H × H such that 0 ∈ x − y ρ H1 y, ω , S y, ω ρMx, ω, 0 ∈ y − x γH2 x, λ T x, λ γN y, λ , where ρ > 0 and γ > 0 are two constants. 1.1 2 Journal of Applied Mathematics In this paper, we introduce a new system of parametric generalized nonlinear mixed quasi variational inclusions problem. For each ω ∈ Ω, λ ∈ Λ, find x xω, λ, y yω, λ such that 0 ∈ f x, y, ω ρ1 F x, y, ω Mx, ω , 0 ∈ g x, y, λ ρ2 G x, y, λ N y, λ , 1.2 where f, F : H × H × Ω → H, g, G : H × H × Λ → H are nonlinear single-valued mappings, M : H × Ω → 2H , N : H × Λ → 2H are multivalued mappings, ρ1 > 0, ρ2 > 0 are constants. By using implicit resolvent equations technique of H-monotone operator, the existence of solution is proved and the sensitivity analysis of solution for the problem 1.2 is given. Our results improve and generalize the known results of 1, 2, 8, 9. 2. Preliminaries Let H be a real Hilbert space, Ω, Λ be two nonempty open subsets of H. Definition 2.1 see 1. i A mapping T : H × Ω → H is said to be monotone with respect to the first argument if T x, ω − T y, ω , x − y ≥ 0, ∀x, ω, y, ω ∈ H × Ω. 2.1 ii T is said to be κ-strongly monotone with respect to the first argument if there exists a constant κ > 0 such that 2 T x, ω − T y, ω , x − y ≥ κx − y , ∀x, ω, y, ω ∈ H × Ω. 2.2 iii T is said to be ξ, η-Lipschitz continuous if there exist ξ > 0, η > 0 such that T x, ω1 − T y, ω2 ≤ ξx − y ηω1 − ω2 , ∀x, ω1 , y, ω2 ∈ H × Ω. 2.3 Definition 2.2 see 1. A mapping F : H × H × Ω → H is said to be ξ, η, ζ-Lipschitz continuous if there exist ξ > 0, η > 0, ζ > 0 such that F x1 , y1 , ω1 − F x2 , y2 , ω2 ≤ ξx1 − x2 ηy1 − y2 ζω1 − ω2 , ∀ x1 , y1 , ω1 , x2 , y2 , ω2 ∈ H × H × Ω. 2.4 Definition 2.3 see 1. A mapping F : H × H × Ω → H is said to be α-strongly monotone with respect to H in the first argument if there exists α > 0 such that F x1 , y, ω − F x2 , y, ω , Hx1 − Hx2 ≥ αx1 − x2 2 , ∀ x1 , y, ω , x2 , y, ω ∈ H × H × Ω. 2.5 Journal of Applied Mathematics 3 In a similar way, we can define the strong monotonicity of F with respect to H in the second argument. Definition 2.4 see 9. Let H : H × Ω → H be a single-valued mapping and M : H × Ω → 2H be a multi-valued mapping. M is said to be H-monotone if M is monotone with respect to the first argument and H·, ω ρM·, ωH H holds for all ρ > 0 and ω ∈ Ω. Definition 2.5 see 9. Let H : H×Ω → H be a strictly monotone mapping and M : H×Ω → H : H → H is defined by 2H be an H-monotone mapping. The resolvent operator JM·,ω,ρ −1 H JM·,ω,ρ u H·, ω ρM·, ω u, ∀u ∈ H. 2.6 Lemma 2.6 see 9. Let H1 : H × Ω → H be γ1 -strongly monotone with respect to the first argument, H2 : H × Λ → H be γ2 -strongly monotone with respect to the first argument, and M : H × Ω → 2H be H1 -monotone, andN : H × Λ → 2H be H2 -monotone. Then for any fixed H1 H2 and JN·,λ,ρ are Lipschitz continuous: ω ∈ Ω, λ ∈ Λ, the resolvent operator JM·,ω,ρ 1 2 1 H1 H1 v ≤ u − v, ∀u, v ∈ H, JM·,ω,ρ1 u − JM·,ω,ρ 1 γ1 1 H2 H2 v ≤ u − v, ∀u, v ∈ H, JN·,λ,ρ2 u − JN·,λ,ρ 2 γ2 2.7 where γ1 > 0, γ2 > 0 are constants. Lemma 2.7. Let M : H × Ω → 2H be H1 -monotone and N : H × Λ → 2H be H2 -monotone. For any fixed ω, λ ∈ Ω × Λ. xω, λ, yω, λ is a solution of 1.2 if and only if H1 H1 xω, λ, ω − f xω, λ, yω, λ, ω − ρ1 F xω, λ, yω, λ, ω xω, λ JM·,ω,ρ 1 T x, y, ω, λ , yω, λ H2 JN·,λ,ρ H2 yω, λ, λ 2 − g xω, λ, yω, λ, λ − ρ2 G xω, λ, yω, λ, λ S x, y, ω, λ , 2.81 2.82 here x xω, λ, y yω, λ. H1 Proof. Assume that xω, λ, yω, λ satisfies relations 2.81 and 2.82 , since JM·,ω,ρ 1 H2 H2 ·, ω ρ2 N·, ω−1 , then 2.81 and 2.82 holds if H1 ·, ω ρ1 M·, ω−1 , JM·,ω,ρ 2 and only if 0 ∈ f xω, λ, yω, λ, ω ρ1 F xω, λ, yω, λ, ω ρ1 Mxω, λ, ω, 0 ∈ g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ ρ2 N yω, λ, λ , and hence xω, λ, yω, λ is a solution of 2.81 and 2.82 . 2.9 4 Journal of Applied Mathematics 3. Main Results Lemma 3.1. Let T : H × H → H, S : H × H → H be two continuous mappings. If there exist Θ1 , Θ2 , 0 < Θ1 , Θ2 < 1, such that T x1 , y1 − T x2 , y2 S x1 , y1 − S x2 , y2 ≤ Θ1 x1 − x2 Θ2 y1 − y2 , ∀x1 , x2 , y1 , y2 ∈ H. 3.1 then there exist x∗ , y∗ ∈ H such that x∗ T x∗ , y ∗ , y ∗ S x∗ , y ∗ . 3.2 Proof. For any x0 , y0 ∈ H, let xn1 T xx , yn , yn1 Sxn , yn , n 0, 1, 2, . . ., then by 3.1, for all x1 , x2 , . . . , xn , xn1 , y1 , y2 , . . . , yn , yn1 ∈ H,we have xn1 − xn yn1 − yn ≤ Θ1 xn − xn−1 Θ2 yn − yn−1 ≤ Θ xn − xn−1 yn − yn−1 , 3.3 where Θ max{Θ1 , Θ2 }. Let a x1 − x0 y1 − y0 , then xn1 − xn yn1 − yn ≤ Θ xn − xn−1 yn − yn−1 ≤ Θ2 xn−1 − xn−2 yn−1 − yn−2 ≤ · · · ≤ Θn x1 − x0 y1 − y0 Θn a, 3.4 0 ≤ xn1 − xn ≤ Θn a, 0 ≤ yn1 − yn ≤ Θn a. 3.5 and hence, Since 0 < Θ max{Θ1 , Θ2 } < 1, 3.5 implies that {xn } and {yn } are both cauchy sequences. Therefore, there exist x∗ , y∗ ∈ H such that xn → x∗ , yn → y∗ n → ∞. By continuity of T and S, x∗ T x∗ , y∗ , y∗ Sx∗ , y∗ . Theorem 3.2. Let H1 : H × Ω → H be ξ1 , η1 -Lipschitz continuous and H2 : H × Λ → H be ξ2 , η2 -Lipschitz continuous. Let f : H × H × Ω → H be ξf , ηf , ζf -Lipschitz continuous and γf -strongly monotone with respect to H in the first argument, F : H × H × Ω → H be ξF , ηF , ζF Lipschitz continuous, g : H × H × Λ → H be ξg , ηg , ζg -Lipschitz continuous and γg -strongly monotone with respect to H2 in the second argument, G : H × H × Λ → H be ξG , ηG , ζG -Lipschitz Journal of Applied Mathematics 5 continuous. Suppose that M : H × Ω → 2H is H1 -monotone and N : H × Λ → 2H is H2 -monotone If ξg ρ2 ξG 1 2 ξ1 − 2γf ξf2 ρ1 ξF < 1, γ1 γ2 ηf ρ1 ηF 1 2 2 ξ2 − 2γg ηg ρ2 ηG < 1, Θ2 γ2 γ1 Θ1 3.6 then, for each ω, λ ∈ Ω × Λ, the problem 1.2 has an unique solution x∗ ω, λ, y∗ ω, λ. Proof. Let x1 x1 ω, λ, x2 x2 ω, λ, y1 y1 ω, λ, y2 y2 ω, λ. By defining 2.81 of T and Lemma 2.6, we have T x1 , y1 , ω, λ − T x2 , y2 , ω, λ ≤ 1 H1 x1 , ω − f x1 , y1 , ω − ρ1 F x1 , y1 , ω − H1 x2 , ω γ1 f x2 , y2 , ω ρ1 F x2 , y2 , ω ≤ 1 H1 x1 , ω − H1 x2 , ω − f x1 , y1 , ω f x2 , y2 , ω γ1 1 ρ1 F x1 , y1 , ω − F x2 , y2 , ω . γ1 3.7 Since f is ξf , ηf , ζf -Lipschitz continuous and γf -strongly monotone with respect to H1 in the first argument, F is ξF , ηF , ζF -Lipschitz continuous, we have H1 x1 , ω − H1 x2 , ω − f x1 , y1 , ω f x2 , y2 , ω ≤ H1 x1 , ω − H1 x2 , ω − f x1 , y1 , ω f x2 , y1 , ω f x2 , y1 , ω − f x2 , y2 , ω ≤ ξ12 − 2γf ξf2 x1 − x2 ηf y1 − y2 , F x1 , y1 , ω − F x2 , y2 , ω ≤ ξF x1 − x2 ηF y1 − y2 . 3.8 3.9 Combining 3.7–3.9, we have T x1 , y1 , ω, λ − T x2 , y2 , ω, λ ≤ 1 ξ12 − 2γf ξf2 ρ1 ξF x1 − x2 γ1 ηf ρ1 ηF y1 − y2 . γ1 3.10 6 Journal of Applied Mathematics By defining 2.82 of S and Lemma 2.6, we have S x1 , y1 , ω, λ − S x2 , y2 , ω, λ ≤ 1 H2 y1 , λ − g x1 , y1 , λ − ρ2 G x1 , y1 , λ γ2 −H2 y2 , λ g x2 , y2 , λ ρ2 G x2 , y2 , λ ≤ 1 H2 y1 , λ − H2 y2 , λ − g x1 , y1 , λ g x2 , g2 , λ γ2 ρ2 G x1 , y1 , λ − G x2 , y2 , λ . γ2 3.11 Since g is ξg , ηg , ζg -Lipschitz continuous and γg -strongly monotone with respect to H2 in the second argument, G is ξG , ηG , ζG -Lipschitz continuous. We have H2 y1 , λ − H2 y2 , λ − g x1 , y1 , λ g x2 , y2 , λ ≤ H2 y1 , λ − H2 y2 , λ − g x1 , y1 , λ g x1 , y2 , λ g x1 , y2 , λ − g x2 , y2 , λ ≤ ξ22 − 2γg ηg2 y1 − y2 ξg x1 − x2 , 3.12 G x1 , y1 , λ − G x2 , y2 , λ ≤ ξG x1 − x2 ηG y1 − y2 . 3.13 Combining 3.11–3.13, we have S x1 , y1 , ω, λ − S x2 , y2 , ω, λ ≤ 1 ξ22 − 2γg ηg2 ρ2 ηG y1 − y2 γ2 ξg ρ2 ξG x1 − x2 . γ2 3.14 By 3.10 and 3.14, we have T x1 , y1 , ω, λ − T x2 , y2 , ω, λ S x1 , y1 , ω, λ − S x2 , y2 , ω, λ ξg ρ2 ξG 1 2 2 ≤ ξ1 − 2γf ξf ρ1 ξF x1 − x2 γ1 γ2 ηf ρ1 ηF 1 y1 − y2 ξ22 − 2γg ηg2 ρ2 ηG γ2 γ1 Θ1 x1 − x2 Θ2 y1 − y2 . 3.15 By 3.6 and Lemma 3.1, there exist x∗ x∗ ω, λ, y∗ y∗ ω, λ. x∗ , y∗ such that x∗ T x∗ , y∗ , ω, λ, y∗ Sx∗ , y∗ , ω, λ. By Lemma 2.7, x∗ , y∗ is a solution of 1.2. From 3.15, we easily see that the solution of 1.2 is unique. Journal of Applied Mathematics 7 H1 H2 , JN·,λ,ρ , there are two constants ξ > 0 Assumption 1. For implicit resolvent operator JM·,ω,ρ 1 2 and η > 0 such that H1 H1 u ≤ ξω − ω, JM·,ω,ρ1 u − JM·,ω,ρ 1 H2 H2 J ≤ η − λ − J v v λ , N·,λ,ρ2 N·,λ,ρ2 3.16 ∀u, v ∈ H. Theorem 3.3. Suppose that the mappings H1 , f, F, M, H2 , g, G, and N are the same as in Theorem 3.2, and for any fixed x, y ∈ H, the mappings ω → H1 x, ω, ω → fx, y, ω, ω → Fx, y, ω,λ → H2 y, λ, λ → gx, y, λ, λ → Gx, y, λ are continuous (or Lipschitz continuous.) If Assumption 1 and condition 3.6 hold, then the solution xω, λ, yω, λ for the problem 1.2 is continuous (or Lipschitz continuous). Proof. Suppose that ω, ω ∈ Ω, λ, λ ∈ Λ such that ω → ω, λ → λ. From Theorem 3.2, we know that the problem 1.2 has solution xω, λ, yω, λ, xω, λ, yω, λ, xω, λ, yω, λ and xω, λ, yω, λ. A Estimate xω, λ − xω, λ and yω, λ − yω, λ. By Lemma 2.7,we have H1 xω, λ JM·,ω,ρ H1 xω, λ, ω − f xω, λ, yω, λ, ω − ρ1 F xω, λ, yω, λ, ω 1 H1 JM·,ω,ρ p , 1 H1 H1 xω, λ, ω − f xω, λ, yω, λ, ω − ρ1 F xω, λ, yω, λ, ω xω, λ JM·,ω,ρ 1 H1 JM·,ω q . ,ρ1 3.17 It follows from Assumption 1, Lemmas 2.6 and 2.7 that H1 H1 p − J q xω, λ − xω, λ JM·,ω,ρ M·,ω,ρ1 1 H1 H1 1 H1 H1 ≤ JM·,ω,ρ p − J q q − J q ≤ p − q ξω − ω. J M·,ω,ρ1 M·,ω,ρ1 M·,ω,ρ1 1 γ1 3.18 Since f is ξf , ηf , ζf -Lipschitz continuous, γf -strongly monotone with respect to H1 in the first argument and F is ξF , ηF , ζF -Lipschitz continuous, we conclude p − q H1 xω, λ, ω − f xω, λ, yω, λ, ω − ρ1 F xω, λ, yω, λ, ω −H1 xω, λ, ω f xω, λ, yω, λ, ω ρ1 F xω, λ, yω, λ, ω ≤ H1 xω, λ, ω − H1 xω, λ, ω − f xω, λ, yω, λ, ω f xω, λ, yω, λ, ω H1 xω, λ, ω − H1 xω, λ, ω f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω 8 Journal of Applied Mathematics f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω ≤ ξ12 − 2γf ξf2 xω, λ − xω, λ H1 xω, λ, ω − H1 xω, λ, ω ηf yω, λ − yω, λ f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω ρ1 ξF xω, λ − xω, λ ρ1 ηF yω, λ − yω, λ ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω . 3.19 It follows from 3.18 and 3.19 that xω, λ − xω, λ ≤ θ1 xω, λ − xω, λ 1 ηf ρ1 ηF yω, λ − yω, λ γ1 1 H1 xω, λ, ω − H1 xω, λ, ω γ1 1 f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω γ1 ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω ξω − ω, γ1 3.20 that is, xω, λ − xω, λ ≤ ηf ρ1 ηF yω, λ − yω, λ 1 − θ1 γ1 1 1 H1 xω, λ, ω − H1 xω, λ, ω 1 − θ1 γ1 1 f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω γ1 ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω γ1 ξω − ω , 3.21 where θ1 1 2 ξ1 − 2γf ξf2 ρ1 ξF , γ1 ∗ Journal of Applied Mathematics 9 By Lemma 2.7, we have H2 yω, λ JN·,λρ H2 yω, λ, λ − g xω, λ, yω, λ, λ − ρ2 G xω, λ, yω, λ, λ 2 H2 JN·,λ,ρ s, 2 H2 H2 yω, λ, λ − g xω, λ, yω, λ, λ − ρ2 G xω, λ, yω, λ, λ yω, λ JN·,λ,ρ 2 H2 JN·,λ,ρ t. 2 3.22 It follows from Assumption 1, Lemmas 2.6 and 2.7 that H2 yω, λ − yω, λ J N·,λ,ρ2 s 1 H2 − JN·,λ,ρ t ≤ s − t. 2 γ2 3.23 Since g is ξg , ηg , ζg -Lipschitz continuous and γg -strongly monotone with respect to H2 in the second argument and G is ξG , ηG , ζG -Lipschitz continuous,we conclude s − t H2 yω, λ, λ − g xω, λ, yω, λ, λ − ρ2 G xω, λ, yω, λ, λ −H2 yω, λ, λ g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ ≤ H2 yω, λ, λ − H2 yω, λ, λ − g xω, λ, yω, λ, λ g xω, λ, yω, λ, λ g xω, λ, yω, λ, λ − g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ − G xω, λ, yω, λ, λ ≤ ξ22 − 2γg ηg2 yω, λ − yω, λ ξg xω, λ − xω, λ ρ2 ξG xω, λ − xω, λ ρ2 ηG yω, λ − yω, λ. 3.24 It follows from 3.23 and 3.24 that 2 2 yω, λ − yω, λ ≤ 1 ξ2 − 2γg ηg ρ2 ηG yω, λ − yω, λ γ2 1 ξg ρ2 ξG xω, λ − xω, λ. γ2 3.25 That is, yω, λ − yω, λ ≤ 1 1 ξg ρ2 ξG xω, λ − xω, λ, 1 − θ2 γ2 3.26 10 Journal of Applied Mathematics where θ2 1 2 ξ2 − 2γg ηg2 ρ2 ηG . γ2 ∗∗ By combining 3.21 and 3.26, we derive ηf ρ1 ηF ξg ρ2 ξG xω, λ − xω, λ ≤ xω, λ − xω, λ 1 − θ1 1 − θ2 γ1 γ2 1 1 H1 xω, λ, ω − H1 xω, λ, ω 1 − θ1 γ1 1 f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω γ1 ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω γ1 ξω − ωs . 3.27 That is, 1 1 xω, λ − xω, λ ≤ 1 − κ 1 − θ1 1 H1 xω, λ, ω − H1 xω, λ, ω γ1 1 f xω, λ, yω, λ, ω − f xω, λ, yω, λ, ω γ1 ρ1 F xω, λ, yω, λ, ω − F xω, λ, yω, λ, ω γ1 ξω − ω , ξ ρ2 ξG 1 1 yω, λ − yω, λ ≤ g 1 − θ2 γ2 1 − κ 1 − θ1 3.28 1 H1 xω, λ, ω − H1 xω, λ, ω γ1 1 f xω, λ, yω, λ, ω γ1 −f xω, λ, yω, λ, ω ρ1 F xω, λ, yω, λ, ω γ1 −F xω, λ, yω, λ, ω ξω − ω , 3.29 Journal of Applied Mathematics 11 where ηf ρ1 ηF ξg ρ2 ξG κ . 1 − θ1 1 − θ2 γ1 γ2 ∗ ∗ ∗ By 3.6, 1 − θ1 > 1 1 ξg ρ2 ξG , 1 − θ2 > ηf ρ1 ηF , γ2 γ1 3.30 and hence ξg ρ2 ξG ηf ρ1 ηF < 1, that is, 0 < κ < 1. 0< 1 − θ1 1 − θ2 γ1 γ2 3.31 B Estimate yω, λ − yω, λ and xω, λ − xω, λ. By Lemma 2.7, we have y ω, λ J H2 N·,λ,ρ2 J H2 N·,λ,ρ2 H2 y ω, λ , λ − g x ω, λ , y ω, λ , λ − ρ2 G x ω, λ , y ω, λ , λ m, H2 y ω, λ JN·,λ,ρ H2 yω, λ, λ − g xω, λ, yω, λ, λ − ρ2 G xω, λ, yω, λ, λ 2 H2 JN·,λ, ρ2 n. 3.32 It follows from Assumption 1, Lemmas 2.6 and 2.7 that H2 y ω, λ − yω, λ J N·,λ,ρ2 H2 ≤ J H2 m − JN·,λ,ρ n 2 N·,λ,ρ2 ≤ m − J H2 N·,λ,ρ2 H2 n J N·,λ,ρ2 H2 n − JN·,λ,ρ n 2 3.33 1 m − n ηλ − λ. γ2 Since g is ξg , ηg , ζg -Lipschitz continuous and γg -strongly monotone with respect to H2 in the second argument and G is ξG , ηG , ζG -Lipschitz continuous,we conclude m − n H2 y ω, λ , λ − g x ω, λ , y ω, λ , λ − ρ2 G x ω, λ , y ω, λ , λ −H2 yω, λ, λ g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ ≤ H2 y ω, λ , λ − H2 yω, λ, λ −g x ω, λ , y ω, λ , λ − g x ω, λ , yω, λ, λ 12 Journal of Applied Mathematics H2 yω, λ, λ − H2 yω, λ, λ g x ω, λ , yω, λ, λ − g xω, λ, yω, λ, λ g xω, λ, yω, λ, λ − g xω, λ, yω, λ, λ ρ2 G x ω, λ , y ω, λ , λ − G xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ − G xω, λ, yω, λ, λ ≤ ξ22 − 2γg ηg2 y ω, λ − yω, λ ξg x ω, λ − xω, λ ρ2 ξG x ω, λ − xω, λ ηG y ω, λ − yω, λ g xω, λ, yω, λ, λ − g xω, λ, yω, λ, λ H2 yω, λ, λ − H2 yω, λ, λ ρ2 G xω, λ, yω, λ, λ − G xω, λ, yω, λ, λ . 3.34 It follows from 3.33 and 3.34 that ξg ρ2 ξG y ω, λ − yω, λ ≤ x ω, λ − xω, λ 1 − θ2 γ2 1 1 H2 yω, λ, λ − H2 yω, λ, λ 1 − θ2 γ2 1 g xω, λ, yω, λ, λ γ2 −g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ γ2 −G xω, λ, yω, λ, λ ηλ − λ , where θ2 defined by ∗∗. 3.35 Journal of Applied Mathematics 13 By Lemma 2.7, we have H1 H x x ω, λ JM·,ω,ρ ω, λ , ω −f x ω, λ , y ω, λ , ω −ρ F x ω, λ , y ω, λ ,ω , 1 1 1 H1 xω, λ JM·,ω,ρ H1 xω, λ, ω − f xω, λ, yω, λ, ω − ρ1 F xω, λ, yω, λ, ω . 1 3.36 As the proof of 3.25,we have 1 2 2 ξ1 − 2γf ξf ρ1 ξF x ω, λ − xω, λ x ω, λ − xω, λ ≤ γ1 1 ηf ρ1 ηF y ω, λ − yω, λ, γ1 3.37 that is, ηf ρ1 ηF x ω, λ − xω, λ ≤ y ω, λ − yω, λ, 1 − θ1 γ1 3.38 where θ1 is defined by ∗. Therefore y ω, λ − yω, λ ≤ 1 1 1 − κ 1 − θ2 1 H2 yω, λ, λ − H2 yω, λ, λ γ2 1 g xω, λ, yω, λ, λ γ2 −g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ γ2 −G xω, λ, yω, λ, λ ηλ − λ , 3.39 14 Journal of Applied Mathematics ηf ρ1 ηF 1 1 1 x ω, λ − xω, λ ≤ H2 yω, λ, λ − H2 yω, λ, λ 1 − θ1 γ1 1 − κ 1 − θ2 γ2 1 g xω, λ, yω, λ, λ γ2 −g xω, λ, yω, λ, λ ρ2 G xω, λ, yω, λ, λ γ2 −G xω, λ, yω, λ, λ ηλ − λ , 3.40 where κ is defined by ∗ ∗ ∗. C Prove that the conclusion of Theorem 3.3. From 3.28 and 3.40, by the assumptions for H1 , f, F, H2 , g, and G in Theorem 3.3 and relation xω, λ − x ω, λ ≤ xω, λ − xω, λ xω, λ − x ω, λ , 3.41 we know that xω, λ is continuous or Lipschitz continuous. From 3.29 and 3.39, by the assumptions for H1 , f, F, H2 , g and G in Theorem 3.3 and relation yω, λ − y ω, λ ≤ yω, λ − yω, λ yω, λ − y ω, λ , 3.42 we know that yω, λ is continuous or Lipschitz continuous. Acknowledgment The author would like to thank the anonymous referee for reading this paper carefully, providing valuable suggestions and comments. The work was supported by the National Science Foundation of China no. 10561007 and Science and Technology Research Project of Education Department in Jiangxi province GJJ10269. References 1 R. P. Agarwal, N.-J. Huang, and M.-Y. Tan, “Sensitivity analysis for a new system of generalized nonlinear mixed quasi-variational inclusions,” Applied Mathematics Letters, vol. 17, no. 3, pp. 345–352, 2004. 2 R. P. Agarwal, Y. J. Cho, and N. J. Huang, “Sensitivity analysis for strongly nonlinear quasi-variational inclusions,” Applied Mathematics Letters, vol. 13, no. 6, pp. 19–24, 2000. 3 X. P. Ding, “Sensitivity analysis for generalized nonlinear implicit quasi-variational inclusions,” Applied Mathematics Letters, vol. 17, no. 2, pp. 225–235, 2004. Journal of Applied Mathematics 15 4 S. 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